{"meta":{"query_hash":"8267ac262050","filters":{"venue":"Agricultural and Forest Meteorology"},"cohort_total":324,"direct_labels_cover":1,"predictions_cover":324,"exported":324,"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/8267ac262050","api":"https://metacan.xera.ac/api/v1/cohort?venue=Agricultural+and+Forest+Meteorology"},"results":[{"id":"W1087651761","doi":"10.1016/j.agrformet.2015.07.008","title":"Variations of leaf inclination angle distribution with height over the growing season and light exposure for eight broadleaf tree species","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Tartu Ülikool; Université de Montréal; Eesti Teadusfondi","keywords":"Inclination angle; Deciduous; Canopy; Temperate deciduous forest; Vegetation (pathology); Biometeorology; Tree (set theory); Atmospheric sciences; Environmental science; Mathematics; Biology; Geology; Botany; Geometry","score_opus":0.009102554811897394,"score_gpt":0.19304012930088765,"score_spread":0.18393757448899026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1087651761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937722,0.00018826657,0.00061103463,0.0041531324,0.00009029969,0.00033384777,0.00002984353,0.000015577007,0.0008058119],"genre_scores_gemma":[0.9982848,0.000023890167,0.00085585465,0.0000860733,0.000107533255,0.000008601837,0.00019511326,0.0000044852127,0.00043362053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917644,0.00007121538,0.00016145779,0.00023497974,0.00017231387,0.0001836085],"domain_scores_gemma":[0.99953675,0.00010988572,0.00012758165,0.00009997916,0.00005357709,0.00007222802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001730018,0.00014172634,0.00016819914,0.000010792301,0.00019592137,0.00003049945,0.00009038195,0.00011156477,0.000010380982],"category_scores_gemma":[0.000072212555,0.000059916198,0.00003576665,0.00019387675,0.00019571459,0.00038770423,0.0000827102,0.00008815547,0.0000024599854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008244442,0.0005159493,0.6342512,0.00010220795,0.00041917633,0.000013218828,0.008473283,0.003510847,0.17189442,0.07531296,0.080639325,0.024043],"study_design_scores_gemma":[0.00061032746,0.00042844875,0.98233205,0.000008299452,0.000072135605,0.000063044296,0.00031754654,0.00038871873,0.0012943991,0.0011642145,0.013198087,0.00012275517],"about_ca_topic_score_codex":0.000112855014,"about_ca_topic_score_gemma":0.0010542041,"teacher_disagreement_score":0.34808084,"about_ca_system_score_codex":0.00005278225,"about_ca_system_score_gemma":0.000004845626,"threshold_uncertainty_score":0.24433117},"labels":[],"label_agreement":null},{"id":"W1741463987","doi":"10.1016/j.agrformet.2015.09.004","title":"Background concentrations and fluxes of atmospheric ammonia over a deciduous forest","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Strategic Research Council; Danish Agency for Science and Higher Education; Manitoba Medical Service Foundation; National Science Foundation","keywords":"Deciduous; Environmental science; Atmospheric sciences; Ammonia; Hydrology (agriculture); Ecology; Chemistry; Geology; Biology","score_opus":0.015511627157516134,"score_gpt":0.20942747848620388,"score_spread":0.19391585132868774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1741463987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962355,0.0017270677,0.000036428366,0.00015623623,0.00010277188,0.00010236413,0.000021625747,0.000018240771,0.0015997636],"genre_scores_gemma":[0.99718994,0.000110434936,0.0021227724,0.00008425351,0.000087958,0.0000015527116,0.00008436939,0.0000017215524,0.00031697072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923265,0.000033239874,0.00019291698,0.00020913949,0.00010259283,0.00022944422],"domain_scores_gemma":[0.9994749,0.0001184827,0.00008957446,0.000076488395,0.00004860476,0.00019199263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076706005,0.00013977234,0.00022286068,0.0000014226184,0.00008302167,0.000030568386,0.000085252526,0.00009996916,0.00014884802],"category_scores_gemma":[0.000030971263,0.000082652354,0.00003280047,0.00012463605,0.00028078846,0.0001813218,0.000020531705,0.00008138023,0.000011300496],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005143736,0.000014915104,0.99546367,0.000012586074,0.00003106736,0.000006667865,0.00018039545,0.0006948421,0.00058985996,0.00041589153,0.0006555202,0.0018831728],"study_design_scores_gemma":[0.0005063487,0.00027924412,0.99523425,0.000005267639,0.00003375055,0.00012797744,0.00044777844,0.00075834774,0.000097902615,0.0010221029,0.0013551664,0.00013188797],"about_ca_topic_score_codex":0.0015732597,"about_ca_topic_score_gemma":0.005288483,"teacher_disagreement_score":0.0037152232,"about_ca_system_score_codex":0.0000027372007,"about_ca_system_score_gemma":0.000021410842,"threshold_uncertainty_score":0.3370465},"labels":[],"label_agreement":null},{"id":"W1758024742","doi":"10.1016/j.agrformet.2015.09.005","title":"Improving the performance of remote sensing models for capturing intra- and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; Natural Resources Canada; Université Laval; U.S. Department of Energy; Università degli Studi della Tuscia; Environment Canada; National Aeronautics and Space Administration; National Science Foundation","keywords":"FluxNet; Environmental science; Remote sensing; Tower; Meteorology; Atmospheric sciences; Eddy covariance; Geography; Geology; Ecosystem","score_opus":0.018073530490889663,"score_gpt":0.2233759259195097,"score_spread":0.20530239542862003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1758024742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9112699,0.000043205095,0.088386364,0.00006514276,0.000038381186,0.0001357285,0.000024338317,0.0000061698383,0.00003078491],"genre_scores_gemma":[0.93422997,0.000011214191,0.06562338,0.000049822884,0.000020248952,6.805651e-7,0.000042829677,0.0000033253814,0.000018556551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991601,0.000042433552,0.0002064348,0.00029722095,0.0000893371,0.00020447804],"domain_scores_gemma":[0.99959654,0.000028670316,0.00009997971,0.00019362637,0.00000802979,0.00007314287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027846632,0.00011858382,0.00018735051,0.0000070397878,0.000090960246,0.000017157527,0.00017677702,0.00006932806,0.0000035452995],"category_scores_gemma":[0.000017321896,0.00006967075,0.00002320127,0.00018444326,0.00019814586,0.00052202394,0.00040872183,0.00007153182,2.3819364e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081681574,0.00002800657,0.14668883,0.000007785089,0.000089413246,0.0000016853365,0.0023680467,0.8122411,0.0009999617,0.00007305248,0.00001294646,0.0374075],"study_design_scores_gemma":[0.00020069475,0.00009673444,0.18820496,0.0000021502922,0.00014292334,0.000028539629,0.00090605865,0.81002116,0.0000061836386,0.0002939652,0.00001337415,0.000083248466],"about_ca_topic_score_codex":0.0055166,"about_ca_topic_score_gemma":0.0039109583,"teacher_disagreement_score":0.041516133,"about_ca_system_score_codex":0.00008433996,"about_ca_system_score_gemma":0.0000045851193,"threshold_uncertainty_score":0.83394855},"labels":[],"label_agreement":null},{"id":"W1849201378","doi":"10.1016/j.agrformet.2015.09.013","title":"A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Plant Biotechnology Institute; University of Guelph; University of Alberta","funders":"Biotechnology and Biological Sciences Research Council; National Institute of Food and Agriculture","keywords":"Crop yield; Yield (engineering); Statistical model; Crop; Precipitation; Environmental science; Crop simulation model; Simulation modeling; Process (computing); Statistics; Mathematics; Computer science; Agronomy; Meteorology","score_opus":0.025671628825114593,"score_gpt":0.2362660013076045,"score_spread":0.2105943724824899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1849201378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982348,0.00030071673,0.000024903893,0.0007646195,0.0000190848,0.000162922,0.00042581194,0.000015295836,0.00005182083],"genre_scores_gemma":[0.9991293,0.000046659843,0.00043701468,0.00009439255,0.000018900118,0.000008925862,0.0001896086,5.100388e-7,0.00007467752],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989956,0.00013223493,0.00026502722,0.0002474589,0.00015810387,0.00020159343],"domain_scores_gemma":[0.99901944,0.0004736825,0.000103447324,0.00004190914,0.00018749555,0.00017403852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020939241,0.00013607318,0.0003941161,0.000032668107,0.000054672062,0.000019504716,0.000101296515,0.00013700225,0.000013352106],"category_scores_gemma":[0.0002389684,0.00004570663,0.000047073612,0.0005013437,0.00015650899,0.000075778466,0.000065350796,0.00007563647,9.926603e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012054074,0.000044166627,0.090014845,0.000006613773,0.00021148784,0.000005298235,0.0002313331,0.0008555016,0.8997722,0.005283465,0.0004227516,0.0019469064],"study_design_scores_gemma":[0.00018774194,0.000790894,0.9915361,0.0000059850786,0.00028095976,0.000026956159,0.00014930726,0.001737503,0.0043096817,0.000744708,0.000105632724,0.00012457074],"about_ca_topic_score_codex":0.0003319271,"about_ca_topic_score_gemma":0.004242008,"teacher_disagreement_score":0.9015212,"about_ca_system_score_codex":0.000008726504,"about_ca_system_score_gemma":0.00001319882,"threshold_uncertainty_score":0.23671402},"labels":[],"label_agreement":null},{"id":"W1965194336","doi":"10.1016/j.agrformet.2010.12.013","title":"Boreal lichen woodlands: A possible negative feedback to climate change in eastern North America","year":2011,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; Canadian Forest Service; Environment and Climate Change Canada; Natural Resources Canada","funders":"Goddard Space Flight Center","keywords":"Woodland; Taiga; Black spruce; Environmental science; Climate change; Radiative forcing; Albedo (alchemy); Boreal; Lichen; Atmospheric sciences; Physical geography; Ecology; Geography; Forestry; Geology","score_opus":0.01441010136199806,"score_gpt":0.20717902853458536,"score_spread":0.1927689271725873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965194336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99192953,0.000035772584,0.0000030013632,0.00028514976,0.000108656175,0.00053354574,0.00001727755,0.000036136942,0.007050938],"genre_scores_gemma":[0.99867594,0.00003107011,0.00039324336,0.00051376416,0.0000692908,0.00018378417,0.000020752386,0.000008569975,0.00010359299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868816,0.0001025473,0.00020468261,0.00038494903,0.00011185295,0.0005078259],"domain_scores_gemma":[0.999544,0.000050819814,0.000084432126,0.00012783421,0.000008503473,0.00018439385],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009708601,0.00020040397,0.00027803142,0.000042580272,0.00006828206,0.000016809432,0.00019221446,0.00008499054,0.00016810441],"category_scores_gemma":[0.000022029939,0.00012047389,0.000038238177,0.00035891632,0.0001080169,0.0002613365,0.00026581672,0.00012325165,0.00082590844],"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":[0.000086312255,0.000053223746,0.9799185,0.000008757231,0.000010313668,0.000018307015,0.006333109,0.000007328847,0.00014655487,0.000024383831,0.00016427087,0.01322898],"study_design_scores_gemma":[0.00035520716,0.000686395,0.9977961,0.000011783247,0.000011735371,0.000027286978,0.00019190759,0.00028065537,0.000041293817,0.000058378948,0.00034571646,0.00019352262],"about_ca_topic_score_codex":0.018900225,"about_ca_topic_score_gemma":0.060130738,"teacher_disagreement_score":0.04123051,"about_ca_system_score_codex":0.000048546066,"about_ca_system_score_gemma":0.0000016317331,"threshold_uncertainty_score":0.9999521},"labels":[],"label_agreement":null},{"id":"W1966893210","doi":"10.1016/j.agrformet.2012.01.005","title":"Special issue honoring Thomas Andrew (Andy) Black","year":2012,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Black spruce; Geography","score_opus":0.013294114283519946,"score_gpt":0.25002702676754,"score_spread":0.23673291248402006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966893210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78728336,0.0007629597,0.000005993581,0.0011978081,0.0014738874,0.00013329466,0.0000031593831,0.00005447109,0.20908506],"genre_scores_gemma":[0.9545954,0.00074621313,0.00027973368,0.0003918947,0.024837784,0.000011441996,0.000008727875,0.0000068073846,0.019122029],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987687,0.00015596647,0.00015106157,0.00020074174,0.00015994017,0.00056358177],"domain_scores_gemma":[0.9994328,0.000103402126,0.00008934831,0.00007729396,0.000045694083,0.0002514351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003274344,0.00014038106,0.00023765348,0.000021522144,0.00064120884,0.000033922097,0.00014097083,0.00015377959,0.0003512545],"category_scores_gemma":[0.000063079606,0.00009241437,0.00009286164,0.00018915567,0.00092091766,0.00034231128,0.000046223213,0.00015355174,0.00014479895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055108307,0.00016571554,0.3133477,0.000025882557,0.00012548565,0.000006810937,0.12561493,0.0000074699087,0.0012825633,0.0590356,0.47490412,0.025428617],"study_design_scores_gemma":[0.0001442044,0.00005071941,0.25647047,0.000002137047,0.000026036225,0.00000570656,0.008124226,4.928204e-7,0.000017565926,0.0001537107,0.7348663,0.00013840375],"about_ca_topic_score_codex":0.0007665118,"about_ca_topic_score_gemma":0.0011875466,"teacher_disagreement_score":0.2599622,"about_ca_system_score_codex":0.000058021018,"about_ca_system_score_gemma":0.000020763226,"threshold_uncertainty_score":0.4931725},"labels":[],"label_agreement":null},{"id":"W1968528727","doi":"10.1016/s0168-1923(02)00040-0","title":"Microclimate for Cultural Heritage","year":2002,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Building materials and conservation","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Microclimate; Biometeorology; Environmental science; Geography; Meteorology; Physical geography; Climatology; Atmospheric sciences; Hydrology (agriculture); Archaeology; Geology; Canopy","score_opus":0.022333323898291964,"score_gpt":0.2012619365387559,"score_spread":0.17892861264046395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968528727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99645644,0.0007500729,0.000009198789,0.0013469262,0.000249492,0.00014134594,0.000044780736,0.000036873174,0.0009648552],"genre_scores_gemma":[0.9978605,0.00016813364,0.0009087978,0.00037022156,0.00013833614,0.000005095288,0.00012731718,0.0000013743961,0.00042020765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943054,0.00002296141,0.00012483788,0.00016412418,0.000039517414,0.00021800071],"domain_scores_gemma":[0.9997676,0.000058530648,0.00004570498,0.000042736305,0.000032347885,0.000053060634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006304828,0.00009811376,0.00013064266,0.000013612182,0.00016005966,0.000058167014,0.00006970851,0.00006862366,0.00044145176],"category_scores_gemma":[0.000015370026,0.000053194373,0.00003725551,0.000050859184,0.00005579581,0.00017286112,0.000006716549,0.000035758458,0.000059125345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017632106,0.000044903456,0.87025476,0.00012507716,0.000104961415,0.00000961724,0.00086259167,0.000271374,0.04259023,0.006523434,0.020114232,0.05892252],"study_design_scores_gemma":[0.0003225261,0.0002239884,0.98516744,0.000003680687,0.000021414455,0.00008020517,0.00013281606,0.001104884,0.00026594085,0.0010215467,0.011508682,0.0001468977],"about_ca_topic_score_codex":0.00027503632,"about_ca_topic_score_gemma":0.0009994572,"teacher_disagreement_score":0.11491268,"about_ca_system_score_codex":0.0000010321428,"about_ca_system_score_gemma":9.460311e-7,"threshold_uncertainty_score":0.4833587},"labels":[],"label_agreement":null},{"id":"W1968623044","doi":"10.1016/j.agrformet.2009.09.013","title":"Comparing methane fluxes from stored liquid manure using micrometeorological mass balance and floating chamber methods","year":2009,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Inlet; Manure; Environmental science; Gas analyzer; Flux (metallurgy); Methane; Atmospheric sciences; Hydrology (agriculture); Liquid manure; Chemistry; Environmental chemistry; Agronomy; Physics; Geology","score_opus":0.014811179130065038,"score_gpt":0.24213387354427762,"score_spread":0.22732269441421257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968623044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917382,0.0006640264,0.006621993,0.000273953,0.00010128585,0.00015807133,0.0000029558596,0.0000473905,0.00039214545],"genre_scores_gemma":[0.7876066,0.00010276646,0.21172525,0.0003677614,0.000059828093,0.0000033364524,0.000017106526,0.000007013798,0.000110354966],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99841124,0.00019560248,0.00027473056,0.00054012856,0.00013241374,0.0004458793],"domain_scores_gemma":[0.9994412,0.00011739952,0.00012934087,0.00013472328,0.000004124266,0.00017321449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022888713,0.00029268203,0.0004380276,0.000007833148,0.0002124207,0.000027627406,0.00013242343,0.00021407478,0.00016311689],"category_scores_gemma":[0.000025252133,0.00018942646,0.000060291462,0.00012730379,0.00035914266,0.00021480847,0.00022045376,0.00023917932,0.000011394305],"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":[0.00017651111,0.000059815815,0.29587927,0.0000047069,0.000055754022,0.00002596342,0.0004661015,0.012992181,0.6842311,0.00016858293,0.000045002424,0.005895014],"study_design_scores_gemma":[0.0005092077,0.0004888356,0.9696456,0.0000072412167,0.000083203726,0.00015265637,0.0002478167,0.025408706,0.0012396012,0.0014848601,0.00038512395,0.00034710587],"about_ca_topic_score_codex":0.0005714273,"about_ca_topic_score_gemma":0.00005823763,"teacher_disagreement_score":0.6829915,"about_ca_system_score_codex":0.0000744821,"about_ca_system_score_gemma":0.0000015156266,"threshold_uncertainty_score":0.7724587},"labels":[],"label_agreement":null},{"id":"W1968801125","doi":"10.1016/j.agrformet.2005.03.005","title":"Relationship between soil CO2 concentrations and forest-floor CO2 effluxes","year":2005,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":264,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Q10; Environmental science; Soil science; Thermal diffusivity; Soil water; Forest floor; Atmospheric sciences; Hydrology (agriculture); Geology; Botany; Respiration","score_opus":0.01902231142916071,"score_gpt":0.22014087342033792,"score_spread":0.2011185619911772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968801125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934476,0.0007018241,0.0000032729154,0.004700023,0.000072802926,0.00022308408,0.000050868257,0.00009008976,0.0007104437],"genre_scores_gemma":[0.998189,0.00008122958,0.00015884294,0.00035606098,0.00044914844,0.000029893441,0.00031853555,0.0000014971953,0.0004158182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987521,0.00009935936,0.00028332238,0.000348037,0.00013419842,0.000382977],"domain_scores_gemma":[0.9989867,0.00057709974,0.000101691614,0.000050723236,0.00007376683,0.00021001289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015124244,0.00022166644,0.00027759394,0.000015668935,0.00040194092,0.00007542065,0.00013358651,0.00023379957,0.000050945313],"category_scores_gemma":[0.00010959897,0.00008050127,0.00007966914,0.00021790109,0.00023813748,0.00021079385,0.000080858896,0.00020312102,0.000028734376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019370205,0.000023623526,0.9859353,0.00000446448,0.000022746104,0.0000015362571,0.000088198365,0.00005228611,0.0026113053,0.0072530922,0.00034439488,0.0036437104],"study_design_scores_gemma":[0.00031982074,0.0002661858,0.99395025,0.0000046652654,0.0000709356,0.000060104652,0.00015727099,0.00044533057,0.00016138318,0.0026487678,0.0016928756,0.00022242937],"about_ca_topic_score_codex":0.00033221208,"about_ca_topic_score_gemma":0.012687734,"teacher_disagreement_score":0.012355522,"about_ca_system_score_codex":0.000019277608,"about_ca_system_score_gemma":0.0000061009223,"threshold_uncertainty_score":0.70800537},"labels":[],"label_agreement":null},{"id":"W1970146111","doi":"10.1016/j.agrformet.2007.01.011","title":"Components of ecosystem respiration and an estimate of net primary productivity of an intermediate-aged Douglas-fir stand","year":2007,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":128,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecosystem respiration; Environmental science; Phenology; Photoinhibition; Ecosystem; Soil respiration; Seasonality; Respiration; Eddy covariance; Animal science; Productivity; Daytime; Photosynthesis; Daylight; Atmospheric sciences; Soil water; Ecology; Biology; Botany; Soil science","score_opus":0.007799459083874862,"score_gpt":0.21024398894509821,"score_spread":0.20244452986122335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970146111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99944365,0.0000457237,0.000051993615,0.000016353646,0.000073504525,0.00016507145,0.000044915876,0.0000071339637,0.00015164533],"genre_scores_gemma":[0.99927974,0.00001739443,0.00054884044,0.0000040720583,0.000023180999,0.0000020762038,0.000110695124,0.0000025999468,0.000011384726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992571,0.000074909854,0.00027100905,0.0001744381,0.00010289819,0.00011967347],"domain_scores_gemma":[0.9996115,0.000031178985,0.00019091429,0.000095432355,0.000014842635,0.000056152785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037232,0.00008734149,0.00021008612,0.000029900622,0.000035613244,0.0000043277155,0.000070841554,0.00007009862,0.0000046692508],"category_scores_gemma":[0.0000066728835,0.00005417145,0.000016930859,0.00008006835,0.000163506,0.00026147152,0.000068060566,0.000057152643,3.651667e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002644949,0.00015190143,0.6189135,0.000076038064,0.000022263494,0.0000029243806,0.0005609532,0.0015377167,0.3740836,0.0002686385,0.0000057125358,0.004112312],"study_design_scores_gemma":[0.00031718615,0.00052324473,0.994457,0.0000088765,0.000022149374,0.000030299645,0.000037051217,0.0018692667,0.0024277177,0.00020761475,0.000033212313,0.0000663648],"about_ca_topic_score_codex":0.00024354193,"about_ca_topic_score_gemma":0.0026202975,"teacher_disagreement_score":0.37554356,"about_ca_system_score_codex":0.000016293032,"about_ca_system_score_gemma":0.0000021893375,"threshold_uncertainty_score":0.22090477},"labels":[],"label_agreement":null},{"id":"W1975171890","doi":"10.1016/j.agrformet.2011.01.005","title":"The role of sky conditions on gross primary production in a mixed deciduous forest","year":2011,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":121,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institut National de la Recherche Agronomique; Manitoba Medical Service Foundation; National Science Foundation","keywords":"Sky; Atmospheric sciences; Environmental science; Aerosol; Primary production; Eddy covariance; Vapour Pressure Deficit; Meteorology; Physics; Ecosystem; Chemistry; Photosynthesis","score_opus":0.005951932393984679,"score_gpt":0.1701820870296448,"score_spread":0.16423015463566012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975171890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99352366,0.000054312426,0.0000018982524,0.00011487133,0.00008790948,0.0001572152,0.00000806452,0.0000096627155,0.006042417],"genre_scores_gemma":[0.9995624,0.00006158815,0.00007611707,0.000023250082,0.000013268376,0.00003274649,0.000037719823,0.000002472183,0.00019045554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942684,0.000041878124,0.0001488127,0.00015251423,0.00007329929,0.00015665028],"domain_scores_gemma":[0.999772,0.000042713276,0.0000619415,0.00008649599,0.0000064119426,0.000030444899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101345846,0.00007829654,0.00009571367,0.0000181907,0.0001103711,0.0000057714815,0.00009024014,0.00005963363,0.000015666756],"category_scores_gemma":[0.000015094725,0.000039134327,0.000026561309,0.000112607704,0.00020756254,0.000089213674,0.000055431265,0.00008605605,0.000017358025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093938244,0.00013915771,0.9634493,0.0000032922694,0.000020010955,0.0000042804227,0.00065898936,0.00257186,0.013541298,0.014301822,0.00011171352,0.0051043113],"study_design_scores_gemma":[0.00011844548,0.00013407774,0.9845909,0.0000031314034,0.00001017823,0.000051438696,0.00007498533,0.00017763494,0.00042794627,0.013976652,0.00037326713,0.00006133889],"about_ca_topic_score_codex":0.00042366053,"about_ca_topic_score_gemma":0.006809836,"teacher_disagreement_score":0.021141578,"about_ca_system_score_codex":0.000024688985,"about_ca_system_score_gemma":0.0000020584769,"threshold_uncertainty_score":0.38000482},"labels":[],"label_agreement":null},{"id":"W1975561843","doi":"10.1016/j.agrformet.2011.07.009","title":"CO2 fluxes of a boreal black spruce chronosequence in eastern North America","year":2011,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre de Géomatique du Québec; Université Laval","funders":"Natural Resources Canada; Canadian Foundation for Climate and Atmospheric Sciences; Canadian Natural Resources Limited","keywords":"Chronosequence; Black spruce; Eddy covariance; Ecosystem respiration; Taiga; Environmental science; Boreal; Ecosystem; Soil respiration; Soil water; Boreal ecosystem; Carbon sink; Growing season; Atmospheric sciences; Ecology; Biology; Soil science; Geology","score_opus":0.009583983077520649,"score_gpt":0.17950631514947737,"score_spread":0.16992233207195673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975561843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915751,0.0000262726,0.000027004924,0.00003993873,0.000025247786,0.000089881294,0.0000120892,0.0000088383995,0.008195592],"genre_scores_gemma":[0.9991138,0.0000610572,0.0005258385,0.00004078909,0.0000063769035,0.0000054679062,0.00003618117,0.000002395263,0.00020809956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993804,0.00003067787,0.00016581563,0.0001739122,0.00006689458,0.00018226902],"domain_scores_gemma":[0.9997828,0.000016466587,0.00007071713,0.000073728486,0.0000049688238,0.000051308674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000034005094,0.000096476695,0.0001488721,0.000020429938,0.000020935115,0.0000036375357,0.00011528055,0.00005315281,0.00009888667],"category_scores_gemma":[0.000004810344,0.000058133694,0.000026000642,0.00014433099,0.00033260245,0.00011430911,0.00009134302,0.00007647289,0.000061870065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002053345,0.00003752525,0.995568,0.000003594774,0.0000072807275,0.0000097493,0.0008822243,0.0010138822,0.000838003,0.00022669056,0.000028672937,0.0013638679],"study_design_scores_gemma":[0.00015189637,0.00017189825,0.9963635,0.0000031420868,0.000010355775,0.000023415847,0.00004954296,0.0025101586,0.000057248722,0.00040292996,0.00016702556,0.000088868735],"about_ca_topic_score_codex":0.0035929454,"about_ca_topic_score_gemma":0.0067878505,"teacher_disagreement_score":0.007987493,"about_ca_system_score_codex":0.000018076038,"about_ca_system_score_gemma":0.0000023829664,"threshold_uncertainty_score":0.5431483},"labels":[],"label_agreement":null},{"id":"W1978689114","doi":"10.1016/j.agrformet.2014.05.002","title":"Improved snow-cover model for multi-annual simulations with the STICS crop model under cold, humid continental climates","year":2014,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Water content; Precipitation; Growing season; Snow; Atmospheric sciences; Hydrology (agriculture); Agronomy; Meteorology; Geography; Geology","score_opus":0.010761619937055208,"score_gpt":0.20899907034805262,"score_spread":0.1982374504109974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978689114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8774137,0.000009395341,0.12137554,0.0004593265,0.000026090089,0.00032329923,0.00021159866,0.000023193179,0.00015789576],"genre_scores_gemma":[0.99310315,0.0000055107307,0.00461072,0.0003098057,0.000021380227,0.00004057246,0.00014476845,0.000008578843,0.0017555121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925166,0.000024543457,0.00014544112,0.00023186662,0.00008228085,0.0002642141],"domain_scores_gemma":[0.99959457,0.00014360332,0.00007579762,0.00010062744,0.00002462201,0.000060798502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008284984,0.0001557426,0.00014986013,0.000011384129,0.00027973286,0.000032743752,0.000119744225,0.00009578024,0.000010426999],"category_scores_gemma":[0.000016997092,0.00007263925,0.00004376957,0.000057621837,0.00020962933,0.00015720984,0.000089712514,0.00009734528,0.000006651697],"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":[0.000037263067,0.000036794732,0.004844163,0.0000024480935,0.00002239138,1.2453701e-7,0.00021919422,0.9820092,0.008528222,0.004063032,0.00017449644,0.00006271119],"study_design_scores_gemma":[0.00072722137,0.00011335227,0.029451359,0.0000016941912,0.00007657388,0.000010304872,0.00004244518,0.9684959,0.00006034599,0.0007154211,0.00015657197,0.00014881333],"about_ca_topic_score_codex":0.0000683053,"about_ca_topic_score_gemma":0.001807924,"teacher_disagreement_score":0.11676481,"about_ca_system_score_codex":0.0000245013,"about_ca_system_score_gemma":0.00000386579,"threshold_uncertainty_score":0.29621425},"labels":[],"label_agreement":null},{"id":"W1982518902","doi":"10.1016/j.agrformet.2008.10.026","title":"Adaptability of chickpea in northern high latitude areas—Maturity responses","year":2008,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Cultivar; Seedbed; Agronomy; Crop; Biology; Fertilizer; Maturity (psychological); Growing season; Adaptability; Microbial inoculant; Sowing; Inoculation; Horticulture; Ecology","score_opus":0.01516822135957549,"score_gpt":0.18291505201196825,"score_spread":0.16774683065239276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982518902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981684,0.0006647956,3.1751972e-7,0.0007722921,0.00004358408,0.00013742782,0.000022298735,0.000015303463,0.00017559496],"genre_scores_gemma":[0.9992609,0.00039964798,0.000110383466,0.000041462168,0.000046272948,0.000014129973,0.000028826344,5.1311343e-7,0.00009785296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908304,0.00010012947,0.00023098981,0.00025062985,0.000108541404,0.00022664377],"domain_scores_gemma":[0.9996458,0.00015708288,0.0000726433,0.00004329589,0.000023548037,0.00005757621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104399274,0.0001422359,0.0002754113,0.000008405709,0.00013884352,0.0000037992959,0.00011130478,0.0000996343,0.00005292577],"category_scores_gemma":[0.00004017484,0.000045722514,0.00005784537,0.00013441486,0.00033121178,0.000053619257,0.00011600552,0.00010020616,0.0000067491055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000957907,0.00008708412,0.97909015,0.0000044326807,0.000012461812,0.0000048353563,0.00015816877,0.000042149157,0.018533008,0.0001037185,0.00002541425,0.0018427682],"study_design_scores_gemma":[0.0001770403,0.00032688957,0.9977283,0.0000041050534,0.000008792279,0.000044087337,0.00028783147,0.00000267583,0.00047090897,0.0005499492,0.00028542476,0.00011400559],"about_ca_topic_score_codex":0.0019383866,"about_ca_topic_score_gemma":0.038709328,"teacher_disagreement_score":0.036770944,"about_ca_system_score_codex":0.000013045027,"about_ca_system_score_gemma":0.0000024166507,"threshold_uncertainty_score":0.9788317},"labels":[],"label_agreement":null},{"id":"W1982904098","doi":"10.1016/j.agrformet.2011.05.002","title":"Biophysical controls of soil CO2 efflux in two coastal Douglas-fir stands at different temporal scales","year":2011,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Eddy covariance; Soil respiration; Environmental science; Deciduous; Diurnal temperature variation; Understory; Animal science; Growing season; Biometeorology; Respiration; Water content; Soil water; Photosynthesis; Atmospheric sciences; Ecosystem; Canopy; Ecology; Biology; Botany; Soil science; Geology","score_opus":0.007929213308310075,"score_gpt":0.19194600506066709,"score_spread":0.18401679175235702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982904098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997475,0.000021924763,0.000012426983,0.000080570935,0.00006937916,0.00013270741,0.000056980884,0.000012956693,0.002138039],"genre_scores_gemma":[0.9995201,0.000024175,0.00006416186,0.00003975296,0.000015511088,0.000014840202,0.00009309832,0.000003858176,0.00022449493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915123,0.000055071214,0.00022799497,0.00021388146,0.00011515153,0.0002366789],"domain_scores_gemma":[0.99970675,0.000046012294,0.00008141219,0.00008233701,0.0000064628707,0.0000770146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059147555,0.00014701372,0.00026580587,0.00002283808,0.000052655738,0.0000059285107,0.000104217615,0.0000662608,0.00010368797],"category_scores_gemma":[0.0000043822515,0.00008006563,0.000052229276,0.00008313594,0.00030797566,0.00008972819,0.00018282853,0.00010552289,0.000020864394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114471695,0.00011053171,0.964728,0.0000034890727,0.000016880114,0.000006802852,0.0002019841,0.00035469764,0.03311702,0.0011165411,0.00007530225,0.00015429503],"study_design_scores_gemma":[0.00095731457,0.0002334233,0.9947204,0.00000434522,0.000018172708,0.00003715015,0.000031762254,0.0019206868,0.0010700799,0.0007548162,0.00012565775,0.0001262174],"about_ca_topic_score_codex":0.0016799691,"about_ca_topic_score_gemma":0.023943037,"teacher_disagreement_score":0.032046936,"about_ca_system_score_codex":0.000032600285,"about_ca_system_score_gemma":0.0000013253325,"threshold_uncertainty_score":0.99386746},"labels":[],"label_agreement":null},{"id":"W1986573979","doi":"10.1016/j.agrformet.2010.02.006","title":"Spatial portability of numerical models of leaf wetness duration based on empirical approaches","year":2010,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Fuzzy logic; Software portability; Leaf wetness; Empirical modelling; Statistic; Statistics; Computer science; Mathematics; Simulation; Artificial intelligence","score_opus":0.019392695363076348,"score_gpt":0.21579809567845523,"score_spread":0.1964054003153789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986573979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927729,0.0000028092766,0.0028598113,0.00084786187,0.0001153107,0.00020306333,0.0000042934325,0.000011644233,0.0031823523],"genre_scores_gemma":[0.99894404,0.0000011927223,0.00084190734,0.00009495667,0.000020946542,0.000024163299,0.000025288282,0.0000027371607,0.000044775643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914217,0.00006557823,0.00025620186,0.000249829,0.00012563897,0.00016059044],"domain_scores_gemma":[0.9995775,0.00008659476,0.00012781465,0.00014212844,0.000010614617,0.00005530797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020967975,0.00011018129,0.00021216676,0.00001994001,0.00005524678,0.0000028037744,0.000115162744,0.00014311098,0.00029311542],"category_scores_gemma":[0.000045770048,0.00006483203,0.00005510839,0.00009664709,0.0004380115,0.0000965398,0.00008571744,0.00014452939,0.000008644505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002667321,0.00069139706,0.92701924,0.000036007168,0.000029735902,0.0000024776205,0.00025781948,0.03153887,0.0042144237,0.03250416,0.00055788946,0.0028812387],"study_design_scores_gemma":[0.00027740543,0.0004116557,0.96027386,0.0000010023319,0.00002359317,0.000004408568,0.0000262232,0.03192285,0.00064947375,0.006233667,0.00009466633,0.00008120729],"about_ca_topic_score_codex":0.00033363994,"about_ca_topic_score_gemma":0.001947531,"teacher_disagreement_score":0.033254597,"about_ca_system_score_codex":0.000010301028,"about_ca_system_score_gemma":0.000004633819,"threshold_uncertainty_score":0.32094082},"labels":[],"label_agreement":null},{"id":"W1986785284","doi":"10.1016/j.agrformet.2014.12.015","title":"Snowpack-climate manipulation using infrared heaters in subalpine forests of the Southern Rocky Mountains, USA","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Biological and Environmental Research; National Oceanic and Atmospheric Administration; National Science Foundation; University of Cambridge; Office of Science; U.S. Department of Agriculture; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Snowmelt; Snowpack; Snow; Environmental science; Atmospheric sciences; Subalpine forest; Atmosphere (unit); Latent heat; Meltwater; Hydrology (agriculture); Geology; Meteorology; Montane ecology; Ecology; Geomorphology; Geography","score_opus":0.03216400406578295,"score_gpt":0.21903066441779165,"score_spread":0.1868666603520087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986785284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99870986,0.0004512648,0.000008892937,0.00027164168,0.00017091485,0.0001452753,0.00002999559,0.0000067844658,0.00020536568],"genre_scores_gemma":[0.9995329,0.000035252357,0.00018132139,0.00008582013,0.00004463677,0.0000013240652,0.000048891598,0.0000014536612,0.00006840801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929804,0.000049958842,0.00020233671,0.0001343727,0.00010082262,0.00021449036],"domain_scores_gemma":[0.99969214,0.000043517935,0.00009042173,0.00007583494,0.000048226135,0.000049858627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011960797,0.00009928115,0.0001620966,0.000017376384,0.00010931106,0.000012882423,0.00009299168,0.000058241232,0.000050959366],"category_scores_gemma":[0.000033000284,0.00004900195,0.000035075307,0.00023233621,0.00008070472,0.000111541,0.000032949414,0.000063650215,0.0000073869405],"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":[0.000027106624,0.0000052886103,0.98473537,0.0000059604854,0.000008810306,8.596335e-7,0.0005139132,0.014017018,0.00004395579,0.000104848325,0.000053385313,0.00048346812],"study_design_scores_gemma":[0.00030842007,0.00007666365,0.9901377,0.0000074443965,0.000016195101,0.000015347934,0.0011566402,0.0072710603,0.00000842432,0.00074872107,0.00017818205,0.000075193304],"about_ca_topic_score_codex":0.00950597,"about_ca_topic_score_gemma":0.13238643,"teacher_disagreement_score":0.12288046,"about_ca_system_score_codex":0.000007368533,"about_ca_system_score_gemma":0.000010691721,"threshold_uncertainty_score":0.9970898},"labels":[],"label_agreement":null},{"id":"W1987274615","doi":"10.1016/j.agrformet.2006.08.001","title":"Ecosystem-level CO2 fluxes from a boreal cutover in eastern Canada before and after scarification","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Ecosystem respiration; Environmental science; Ecosystem; Eddy covariance; Scarification; Boreal ecosystem; Taiga; Atmospheric sciences; Biometeorology; Primary production; Productivity; Boreal; Hydrology (agriculture); Ecology; Forestry; Canopy; Agronomy; Geography; Biology; Geology","score_opus":0.003412921842521128,"score_gpt":0.153502868772964,"score_spread":0.1500899469304429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987274615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852365,0.000060593236,0.000010940052,0.00025513605,0.00005215061,0.00010659067,0.00016852317,0.0000072483062,0.00081519125],"genre_scores_gemma":[0.999063,0.00000829068,0.00010406962,0.00005899063,0.00002971524,0.000021649023,0.0002763956,0.0000029577939,0.0004348877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936014,0.000029394068,0.00015161981,0.0002087267,0.00008491246,0.00016522114],"domain_scores_gemma":[0.9998304,0.000019601677,0.000042318326,0.000059446065,0.0000042939478,0.00004391173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003617365,0.00010332685,0.000119826866,0.000013464122,0.00004206373,0.000018763178,0.000052161446,0.00007862528,0.000026991063],"category_scores_gemma":[0.0000020519067,0.000063396474,0.000012940676,0.00006279293,0.000045521305,0.00010991164,0.00005512004,0.00006792893,0.0000068966715],"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":[0.000011892154,0.000009611027,0.99818015,0.0000020098707,0.000004846714,0.000009550311,0.000063773805,0.00041940567,0.00030067845,0.00019860649,0.000089479996,0.00070998044],"study_design_scores_gemma":[0.0002032193,0.00002420754,0.9938658,0.0000042911965,0.000012702496,0.000032013068,0.000021608013,0.0043414035,0.000009471194,0.00065752125,0.0007363128,0.00009143973],"about_ca_topic_score_codex":0.61554736,"about_ca_topic_score_gemma":0.9888651,"teacher_disagreement_score":0.37331772,"about_ca_system_score_codex":0.000059924747,"about_ca_system_score_gemma":0.0000053456724,"threshold_uncertainty_score":0.38701275},"labels":[],"label_agreement":null},{"id":"W1988763628","doi":"10.1016/j.agrformet.2006.05.013","title":"Tools for quantifying N2O emissions from agroecosystems","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Environmental science; Greenhouse gas; Snowmelt; Climate change; Atmospheric sciences; Spatial variability; Range (aeronautics); Meteorology; Geography; Snow; Ecology","score_opus":0.023489109843283534,"score_gpt":0.21494019541765397,"score_spread":0.19145108557437043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988763628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956114,0.00097073993,0.00018683696,0.00040296908,0.00023262353,0.00017060501,0.00016725679,0.00004450674,0.0022130082],"genre_scores_gemma":[0.99624634,0.000023649241,0.0014933143,0.000075719254,0.00049224094,0.000006743022,0.0010438105,0.0000019256881,0.0006162846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915576,0.00002503957,0.00020535938,0.00026527132,0.00006857238,0.00028000041],"domain_scores_gemma":[0.999283,0.0004447957,0.00007922615,0.000077467164,0.000027229089,0.000088289926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000701668,0.00014142941,0.00020925465,0.0000031057214,0.0002411451,0.00007793008,0.00010964781,0.000121960016,0.00031953445],"category_scores_gemma":[0.000041687123,0.000079602505,0.000070057366,0.000071547314,0.00005542186,0.00019872609,0.000010656332,0.000077924204,0.000028759623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013698783,0.0000428181,0.9291345,0.00006380811,0.00008770659,0.00001670291,0.0001342994,0.0019063291,0.038968995,0.0014059276,0.009048244,0.01905367],"study_design_scores_gemma":[0.00033393776,0.00008502945,0.982864,0.000010363312,0.000024996343,0.00003526,0.00019117857,0.00062399334,0.0010491371,0.0018672366,0.012732931,0.00018194102],"about_ca_topic_score_codex":0.0033715053,"about_ca_topic_score_gemma":0.0052148304,"teacher_disagreement_score":0.053729482,"about_ca_system_score_codex":0.0000020070931,"about_ca_system_score_gemma":0.0000074808236,"threshold_uncertainty_score":0.509673},"labels":[],"label_agreement":null},{"id":"W1993516606","doi":"10.1016/j.agrformet.2014.12.007","title":"Forest canopy water fluxes can be estimated using canopy structure metrics derived from airborne light detection and ranging (LiDAR)","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Københavns Universitet","keywords":"Canopy; Environmental science; Lidar; Throughfall; Tree canopy; Precipitation; Forest inventory; Atmospheric sciences; Hydrology (agriculture); Forest management; Remote sensing; Ecology; Meteorology; Geography; Agroforestry","score_opus":0.015051574698888662,"score_gpt":0.2139379064496979,"score_spread":0.19888633175080925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993516606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99798197,0.00015072116,0.0003073538,0.0009785094,0.00015162383,0.00020302551,0.000024085046,0.000058959773,0.00014374474],"genre_scores_gemma":[0.99635404,0.000014119276,0.0032129404,0.00015181252,0.00008533293,0.0000032184944,0.00010847467,0.000012303848,0.000057749003],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998817,0.00007021554,0.00019609602,0.0003946421,0.00015513223,0.0003668664],"domain_scores_gemma":[0.9994871,0.000046683675,0.00007299592,0.00013860238,0.0000327456,0.00022187691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008318063,0.00022068767,0.00024027767,0.000056666267,0.00030662227,0.000064802654,0.00009508998,0.00017413929,0.000027562208],"category_scores_gemma":[0.000041335297,0.00012509618,0.000031998417,0.0002616353,0.00018012889,0.00014349016,0.00012959744,0.00015588847,0.000006929658],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036162273,0.00001299729,0.04461776,0.000003864006,0.000041867213,0.000008893285,0.0012971808,0.0032608777,0.94647163,0.000024095081,0.0001159766,0.004108688],"study_design_scores_gemma":[0.0008813556,0.00018594053,0.78723127,0.000009766482,0.00021153768,0.00036752038,0.0005007192,0.0150183,0.19091034,0.0017893612,0.0024140964,0.00047976445],"about_ca_topic_score_codex":0.014102974,"about_ca_topic_score_gemma":0.02490716,"teacher_disagreement_score":0.7555613,"about_ca_system_score_codex":0.000108346845,"about_ca_system_score_gemma":0.000007204414,"threshold_uncertainty_score":0.99288577},"labels":[],"label_agreement":null},{"id":"W2000545418","doi":"10.1016/j.agrformet.2011.07.010","title":"The carbon balance of two lodgepole pine stands recovering from mountain pine beetle attack in British Columbia","year":2011,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Natural Resources Canada; University of British Columbia; Government of British Columbia; University of Northern British Columbia; Canadian Forest Service","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Ministry of Forests, Lands and Natural Resource Operations","keywords":"Mountain pine beetle; Canopy; Ecosystem respiration; Dendroctonus; Eddy covariance; Ecosystem; Pinus contorta; Forestry; Environmental science; Ecology; Botany; Geography; Biology; Bark beetle","score_opus":0.0077763278688459826,"score_gpt":0.18394262324796606,"score_spread":0.17616629537912007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000545418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99738353,0.0001885283,0.000007502917,0.000056910685,0.00007724423,0.00010223558,0.0000342546,0.000009544837,0.0021402417],"genre_scores_gemma":[0.99881196,0.00021354391,0.00018600977,0.000022930446,0.000016729535,0.000011678172,0.000036313722,0.0000037099112,0.000697149],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929416,0.000042258253,0.00019887622,0.00018252902,0.000080850776,0.00020130505],"domain_scores_gemma":[0.99974674,0.000041651147,0.00007529839,0.000089858935,0.0000064836736,0.000039944374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010962115,0.00007067951,0.00015039479,0.000006432463,0.000073065334,0.000027361168,0.00012704608,0.00006008084,0.00008807053],"category_scores_gemma":[0.000010287881,0.000056670797,0.000024680021,0.00009473378,0.00015015861,0.00008350947,0.00011029529,0.00009861443,0.0000035797618],"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":[0.00001420724,0.0000249547,0.9945556,0.0000018287254,0.000012617951,0.00000954027,0.00016593075,0.00048426815,0.0032186166,0.00004795885,0.00009481984,0.0013696498],"study_design_scores_gemma":[0.00038246915,0.00009045749,0.9927787,0.000008655187,0.000010819758,0.000030884457,0.000039577924,0.0047066645,0.000056878256,0.0014666893,0.00033573736,0.00009246382],"about_ca_topic_score_codex":0.12117987,"about_ca_topic_score_gemma":0.53603905,"teacher_disagreement_score":0.41485918,"about_ca_system_score_codex":0.000036900186,"about_ca_system_score_gemma":0.0000024415078,"threshold_uncertainty_score":0.8846723},"labels":[],"label_agreement":null},{"id":"W2002477309","doi":"10.1016/j.agrformet.2004.12.006","title":"Early maize yield forecasting in the four agro-ecological regions of Swaziland using NDVI data derived from NOAA's-AVHRR","year":2005,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":161,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Department of Agriculture","funders":"","keywords":"Normalized Difference Vegetation Index; Advanced very-high-resolution radiometer; Yield (engineering); Environmental science; Food security; Vegetation (pathology); Crop; Crop yield; Climatology; Agronomy; Agriculture; Geography; Leaf area index; Biology","score_opus":0.06662861427805686,"score_gpt":0.23353132008359134,"score_spread":0.16690270580553448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002477309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99640113,0.000098118944,0.00008008776,0.0019526504,0.00008287472,0.0002635452,0.0000205116,0.00001833873,0.0010827645],"genre_scores_gemma":[0.9926435,0.000034285964,0.006672292,0.00034364616,0.000185554,0.000002238489,0.000057608966,0.000005409551,0.000055478075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843603,0.0001726854,0.00033882487,0.00046589418,0.00020559464,0.00038099303],"domain_scores_gemma":[0.9988885,0.00051942817,0.00017923232,0.0003276167,0.000014217012,0.00007098392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027964718,0.00020735954,0.00029724327,0.000020485288,0.00016731763,0.000035825105,0.0005644744,0.00022107387,0.00007909863],"category_scores_gemma":[0.00020954253,0.00009461317,0.000055256107,0.0002604998,0.00030584566,0.000290657,0.0004744,0.00030444912,0.000019255562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014401598,0.0003068673,0.7100912,0.000012848786,0.00010572213,0.00013855899,0.0035304339,0.008122615,0.26205006,0.00027062057,0.0053936956,0.009833402],"study_design_scores_gemma":[0.00030408098,0.000114012604,0.99384433,0.00001621464,0.000051076502,0.00028071378,0.00029794095,0.003734729,0.00020166746,0.00049863925,0.00049208757,0.00016452579],"about_ca_topic_score_codex":0.0029199428,"about_ca_topic_score_gemma":0.013883155,"teacher_disagreement_score":0.28375316,"about_ca_system_score_codex":0.000041112722,"about_ca_system_score_gemma":0.000004219766,"threshold_uncertainty_score":0.7747126},"labels":[],"label_agreement":null},{"id":"W2005827711","doi":"10.1016/j.agrformet.2013.04.023","title":"Predicting the risk of cedar leaf blight (Didymascella thujina) in British Columbia under future climate change","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of British Columbia; Canadian Forest Service; University of Victoria; University of Alberta","funders":"","keywords":"Climate change; Environmental science; Precipitation; Geography; Physical geography; Ecology; Biology; Meteorology","score_opus":0.008378186359950407,"score_gpt":0.17075945548640079,"score_spread":0.16238126912645037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005827711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99424964,0.0026346836,9.3696734e-8,0.0019533937,0.00016931066,0.00041555666,0.00018416236,0.0000264846,0.00036670177],"genre_scores_gemma":[0.9950051,0.0040036123,0.000023745337,0.00018920074,0.00041828406,0.0000712686,0.000061485305,0.0000010471404,0.00022627306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987364,0.00016806582,0.0002570159,0.0002980138,0.0001267358,0.00041378336],"domain_scores_gemma":[0.99943835,0.00019310211,0.00017646766,0.000052275886,0.00006626027,0.00007354017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021981414,0.00012857145,0.00027409487,0.000006701996,0.00031861948,0.000112660004,0.00021281063,0.00018584712,0.00013217053],"category_scores_gemma":[0.000018414947,0.000047118654,0.000091052,0.00026848502,0.00014560358,0.00014161381,0.000105056366,0.0002136794,0.000009114499],"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":[0.0000117245345,0.00005457438,0.9329412,0.000018164079,0.000026588696,0.00000869436,0.00008987766,0.000005849827,0.04954994,0.00021224396,0.0014812461,0.015599867],"study_design_scores_gemma":[0.0001543181,0.00016908774,0.9956307,0.000026026402,0.000026946835,0.0000886344,0.0012109041,0.000036718644,0.000040317733,0.0003960572,0.0020833474,0.00013695369],"about_ca_topic_score_codex":0.02036432,"about_ca_topic_score_gemma":0.5061805,"teacher_disagreement_score":0.4858162,"about_ca_system_score_codex":0.0000081416965,"about_ca_system_score_gemma":0.0000019092458,"threshold_uncertainty_score":0.98615915},"labels":[],"label_agreement":null},{"id":"W2010679452","doi":"10.1016/j.agrformet.2014.12.010","title":"Effect of clearcut harvesting on the carbon balance of a Douglas-fir forest","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Meteorological and Oceanographic Society","keywords":"Chronosequence; Eddy covariance; Ecosystem respiration; Environmental science; Ecosystem; Respiration; Primary production; Photosynthesis; Soil respiration; Carbon sink; Productivity; Heterotroph; Botany; Agronomy; Animal science; Ecology; Biology","score_opus":0.007759108305896627,"score_gpt":0.19231494278417116,"score_spread":0.18455583447827453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010679452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927749,0.000038671435,0.0000033098852,0.00021542655,0.00009301633,0.00015072594,0.0000055313444,0.000009180653,0.0067092236],"genre_scores_gemma":[0.99967337,0.000010068139,0.000043717067,0.0000274457,0.00002545972,0.0000106539255,0.000009515134,0.0000030677431,0.00019672679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930954,0.00012457464,0.00015196558,0.00013458633,0.00012851878,0.00015080806],"domain_scores_gemma":[0.9995005,0.00023547235,0.00010126198,0.00010201402,0.000009194514,0.000051564595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003228643,0.00009996091,0.00017113188,0.000012736493,0.00003689681,0.0000058191904,0.00012654658,0.00006448513,0.000007285146],"category_scores_gemma":[0.000074382966,0.000043462955,0.000036174668,0.00011606716,0.00020167515,0.000050718005,0.00009252743,0.00010095514,0.000007038062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015027418,0.00003080705,0.97240466,0.000015962827,0.000027632228,0.0000042704014,0.00029627178,0.014634423,0.007722608,0.003300902,0.00019962035,0.0012125662],"study_design_scores_gemma":[0.0005762757,0.0017647342,0.97608584,0.00002041289,0.000048204314,0.00007731629,0.00004093476,0.018397344,0.0013491336,0.000997779,0.0005119938,0.00013001266],"about_ca_topic_score_codex":0.0009467858,"about_ca_topic_score_gemma":0.00062938593,"teacher_disagreement_score":0.0068984316,"about_ca_system_score_codex":0.000016621181,"about_ca_system_score_gemma":0.000002205364,"threshold_uncertainty_score":0.17723678},"labels":[],"label_agreement":null},{"id":"W2011358742","doi":"10.1016/j.agrformet.2013.04.025","title":"A simple soil moisture index for representing multi-year drought impacts on aspen productivity in the western Canadian interior","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Canadian Forest Service; Environment and Climate Change Canada; Natural Resources Canada","funders":"Natural Resources Canada; Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; BIOCAP Canada","keywords":"Evapotranspiration; Water content; Environmental science; Soil water; Growing season; Precipitation; Taiga; Productivity; Potential evaporation; Dendrochronology; Hydrology (agriculture); Leaf area index; Boreal; Soil science; Forestry; Agronomy; Ecology; Geography; Geology; Meteorology","score_opus":0.008921107217659261,"score_gpt":0.208580501735263,"score_spread":0.19965939451760373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011358742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963448,0.000009856039,0.00001434812,0.0022199277,0.000046545174,0.0005390603,0.000015035525,0.000008641733,0.00080176606],"genre_scores_gemma":[0.9989787,0.0000040963278,0.00006101872,0.00034476464,0.000040767634,0.000099594974,0.00005099655,0.0000041655244,0.00041591757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991833,0.000060309267,0.00012547015,0.0002496819,0.000071768576,0.0003094967],"domain_scores_gemma":[0.9996868,0.00005440664,0.000048461192,0.00012332223,0.000008013882,0.000078991594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016090031,0.00011431182,0.00012081305,0.000027291935,0.00012249178,0.000056696892,0.00015636081,0.00008859132,0.000028418483],"category_scores_gemma":[0.000044533648,0.000056418063,0.00003335388,0.00010920567,0.0000701446,0.00019206687,0.000064989086,0.0001485379,0.000033258715],"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":[0.0000116741585,0.00002273158,0.9956833,0.0000037328643,0.000008874082,0.0000034377813,0.0006159462,0.0011543756,0.0011227799,0.00008419296,0.0005130374,0.0007759268],"study_design_scores_gemma":[0.0002547964,0.000079498124,0.99544847,0.0000034845696,0.000007198447,0.000036586334,0.00009973729,0.002361549,0.000026946303,0.00044598163,0.0011393155,0.00009642805],"about_ca_topic_score_codex":0.18732634,"about_ca_topic_score_gemma":0.7043779,"teacher_disagreement_score":0.5170515,"about_ca_system_score_codex":0.00005345214,"about_ca_system_score_gemma":0.0000049961072,"threshold_uncertainty_score":0.8180853},"labels":[],"label_agreement":null},{"id":"W2012940687","doi":"10.1016/j.agrformet.2006.06.006","title":"Inferring profiles of energy fluxes within a soybean canopy using Lagrangian analysis","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Canopy; Environmental science; Biometeorology; Lagrangian; Atmospheric sciences; Meteorology; Mathematics; Geography; Physics; Ecology; Biology; Applied mathematics","score_opus":0.005134173417358941,"score_gpt":0.17876423474410133,"score_spread":0.17363006132674239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012940687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99799174,0.000053032363,0.0003046383,0.000035966565,0.000026572923,0.000041151627,0.000014326593,0.000013908419,0.0015186873],"genre_scores_gemma":[0.99853873,0.0000050182966,0.0010100371,0.000017842842,0.00001887444,0.0000039685347,0.00009007677,0.0000027700792,0.00031268003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993575,0.00003423882,0.00019194851,0.00016672061,0.000087395005,0.0001621892],"domain_scores_gemma":[0.999772,0.000018970588,0.000097950964,0.000066429704,0.000007685508,0.000036930585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006111262,0.000101025464,0.00018257971,0.000055400098,0.00007727688,0.000011560422,0.00007123984,0.00007232654,0.000040108935],"category_scores_gemma":[0.0000029554735,0.000060297643,0.000063762236,0.000347101,0.00011926999,0.00009682952,0.00006531229,0.000045294888,0.0000017107915],"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":[0.0000066514426,0.000021298807,0.8733734,0.000002726633,0.000078890225,0.0000030828887,0.00008120799,0.083430946,0.038480733,0.0044161766,0.000014392327,0.000090501446],"study_design_scores_gemma":[0.00012562661,0.00004546742,0.9618492,0.000002634939,0.00025369495,0.000032558935,0.000026914986,0.03488294,0.0012506475,0.0013133424,0.00008730404,0.00012964255],"about_ca_topic_score_codex":0.010464504,"about_ca_topic_score_gemma":0.021683019,"teacher_disagreement_score":0.08847584,"about_ca_system_score_codex":0.000021418919,"about_ca_system_score_gemma":0.0000024538735,"threshold_uncertainty_score":0.99616873},"labels":[],"label_agreement":null},{"id":"W2013084637","doi":"10.1016/j.agrformet.2006.08.010","title":"Carbon dioxide and energy fluxes from a boreal mixedwood forest ecosystem in Ontario, Canada","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; McMaster University; Canadian Forest Service; Queen's University","funders":"","keywords":"Environmental science; Eddy covariance; Ecosystem respiration; FluxNet; Vapour Pressure Deficit; Ecosystem; Evapotranspiration; Atmospheric sciences; Carbon sink; Boreal ecosystem; Leaf area index; Biometeorology; Canopy; Ecology; Transpiration; Photosynthesis","score_opus":0.002323807733779869,"score_gpt":0.13225172213955258,"score_spread":0.1299279144057727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013084637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939299,0.00012669447,0.0000030781046,0.00013230923,0.000082901635,0.000055145407,0.000035143923,0.000010973675,0.0056238114],"genre_scores_gemma":[0.9988544,0.000019457646,0.00006520827,0.000050567738,0.000028210972,0.000017345657,0.00023931295,0.0000042292477,0.0007212963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991255,0.00003940753,0.00019820742,0.00027310583,0.00010449421,0.00025933183],"domain_scores_gemma":[0.99975055,0.000046808353,0.00005410853,0.00007383605,0.0000037645148,0.00007091774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003932378,0.00015105822,0.00019538416,0.00001872494,0.000056111843,0.000015618769,0.00007826352,0.00010031997,0.000023229068],"category_scores_gemma":[0.0000023809796,0.00009636403,0.00001920052,0.00007117914,0.00005213518,0.000076981225,0.000090863825,0.000103064594,8.980459e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010906561,0.000013677193,0.9959034,0.0000014451795,0.000009126445,0.00003153089,0.00004556268,0.0020041063,0.0007921289,0.00085860764,0.00013590504,0.00019362243],"study_design_scores_gemma":[0.00028641254,0.000044075918,0.9926134,0.000005181203,0.000018039682,0.00006850824,0.000020883204,0.0023611896,0.000038325743,0.0015106155,0.0028823158,0.00015106806],"about_ca_topic_score_codex":0.9978104,"about_ca_topic_score_gemma":0.99996763,"teacher_disagreement_score":0.004924429,"about_ca_system_score_codex":0.00018181195,"about_ca_system_score_gemma":0.000016867989,"threshold_uncertainty_score":0.3929611},"labels":[],"label_agreement":null},{"id":"W2014660551","doi":"10.1016/j.agrformet.2013.02.004","title":"Gross and aboveground net primary production at Canadian forest carbon flux sites","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of British Columbia; Queen's University; Center for Northern Studies; McMaster University; University of Manitoba; University of Saskatchewan; University of Victoria; University of New Brunswick; Canadian Forest Service; Université Laval; Natural Resources Canada","funders":"BIOCAP Canada","keywords":"Primary production; Photosynthetically active radiation; Environmental science; Eddy covariance; Taiga; Atmospheric sciences; Temperate rainforest; Boreal; Temperate forest; Temperate climate; Carbon cycle; Ecosystem; Ecology; Forestry; Photosynthesis; Geography; Biology; Botany; Geology","score_opus":0.004279157504551285,"score_gpt":0.15474240072339507,"score_spread":0.15046324321884377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014660551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923658,0.00014002706,7.0208074e-7,0.0010557657,0.00010633532,0.00025697149,0.0000089772375,0.000020770149,0.0060447017],"genre_scores_gemma":[0.99481803,0.00006472777,0.000100988174,0.00019352541,0.000054738324,0.000034051693,0.00021350395,0.0000051566935,0.0045152768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916625,0.00002865946,0.00012730811,0.00028868485,0.00008054885,0.00030856617],"domain_scores_gemma":[0.99965954,0.000019878133,0.00004257206,0.000087391905,0.000009493299,0.0001811536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006160758,0.00013920043,0.00013302735,0.00002716169,0.00019653222,0.000041503816,0.00006732948,0.00011365765,0.00010862435],"category_scores_gemma":[0.000008485808,0.00008551432,0.0000196649,0.00008029813,0.00019398786,0.00023013039,0.00010571563,0.00009357874,0.0000649006],"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":[0.0000062014647,0.0000097802695,0.98392296,0.000006081888,0.000013679884,0.000005166063,0.00018748421,0.0006323737,0.012724811,0.00022507594,0.0013053375,0.0009610513],"study_design_scores_gemma":[0.00011439375,0.00006940434,0.99482566,0.0000019577194,0.000019105202,0.00032632193,0.000018729383,0.0013168412,0.000031979325,0.000932493,0.0021983557,0.00014475246],"about_ca_topic_score_codex":0.08616975,"about_ca_topic_score_gemma":0.4908001,"teacher_disagreement_score":0.40463036,"about_ca_system_score_codex":0.00012694045,"about_ca_system_score_gemma":0.0000045150373,"threshold_uncertainty_score":0.9199155},"labels":[],"label_agreement":null},{"id":"W2015037454","doi":"10.1016/j.agrformet.2010.11.012","title":"Crop yield forecasting on the Canadian Prairies using MODIS NDVI data","year":2011,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":508,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of Manitoba","funders":"","keywords":"Normalized Difference Vegetation Index; Moderate-resolution imaging spectroradiometer; Environmental science; Crop yield; Advanced very-high-resolution radiometer; Spectroradiometer; Remote sensing; Growing season; Yield (engineering); Linear regression; Mathematics; Leaf area index; Geography; Agronomy; Statistics; Reflectivity","score_opus":0.12555702292428333,"score_gpt":0.22333137648358922,"score_spread":0.09777435355930589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015037454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752991,0.000034391935,0.000011931342,0.0019913446,0.00017334563,0.00020540574,0.000016477932,0.000025578907,0.022242378],"genre_scores_gemma":[0.99717903,0.000005931361,0.0016411964,0.00070609065,0.00009605368,0.0000016164767,0.000030106494,0.0000069859925,0.00033299686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987769,0.00007149068,0.00016096164,0.0004052774,0.00015046596,0.0004348676],"domain_scores_gemma":[0.99927735,0.00011695877,0.00008594736,0.0003437028,0.000015029222,0.00016101285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020767076,0.00019250262,0.00015898012,0.000019005834,0.0006367431,0.000054327556,0.00045775168,0.00015217665,0.00018642588],"category_scores_gemma":[0.00018862923,0.00008299012,0.00003229978,0.00018598864,0.0004071673,0.00023288869,0.00034003047,0.00024663663,0.00007969746],"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":[0.00028224773,0.00031037818,0.63644964,0.00004943096,0.00055301,0.00047879037,0.023649473,0.008027152,0.030965002,0.02427191,0.2232679,0.051695053],"study_design_scores_gemma":[0.000108814165,0.00016949311,0.9863661,0.000019421856,0.00006007535,0.00058623304,0.00042577917,0.004961221,0.00028866204,0.0013906922,0.005301946,0.00032159124],"about_ca_topic_score_codex":0.242095,"about_ca_topic_score_gemma":0.7560141,"teacher_disagreement_score":0.5139191,"about_ca_system_score_codex":0.00008457541,"about_ca_system_score_gemma":0.0000124263515,"threshold_uncertainty_score":0.76295197},"labels":[],"label_agreement":null},{"id":"W2015262509","doi":"10.1016/j.agrformet.2008.10.016","title":"Spatial modelling of photosynthesis for a boreal mixedwood forest by integrating micrometeorological, lidar and hyperspectral remote sensing data","year":2008,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Forest Research Institute; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photosynthetically active radiation; Environmental science; Canopy; Atmospheric sciences; Black spruce; Lidar; Taiga; Boreal; Spatial variability; Remote sensing; Tree canopy; Geography; Forestry; Photosynthesis; Geology","score_opus":0.027403509906991887,"score_gpt":0.21979279315719014,"score_spread":0.19238928325019825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015262509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96565247,0.00017857653,0.032780744,0.00047788187,0.00003122084,0.0003024726,0.00007463548,0.000031509535,0.00047049724],"genre_scores_gemma":[0.91270226,0.00017574239,0.08678246,0.000066848916,0.000053870794,0.0000010074984,0.00015853476,0.0000100286825,0.00004924456],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986454,0.000061948565,0.0003008202,0.0005432669,0.00011390497,0.0003346436],"domain_scores_gemma":[0.9991838,0.00027688182,0.0001482799,0.0002589772,0.00002318966,0.00010892162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019460358,0.00020609806,0.00033579383,0.000026758456,0.0003280567,0.000019525682,0.00019545178,0.00015329816,0.0000072996404],"category_scores_gemma":[0.000082192455,0.00013185156,0.000056484096,0.00012732726,0.00053434307,0.0001255499,0.00020232426,0.00014349884,0.0000026454775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004731205,0.0002256162,0.022332411,0.000069923335,0.0002564208,0.000020100724,0.0028548716,0.0018871268,0.7811493,0.00044108668,0.0052548167,0.18503515],"study_design_scores_gemma":[0.0024462815,0.0019057218,0.2482367,0.00006487854,0.0005152643,0.0025920575,0.0013985615,0.6914379,0.034580395,0.0072830827,0.008104039,0.0014351015],"about_ca_topic_score_codex":0.0063442807,"about_ca_topic_score_gemma":0.0014738541,"teacher_disagreement_score":0.746569,"about_ca_system_score_codex":0.000020645522,"about_ca_system_score_gemma":0.0000066902094,"threshold_uncertainty_score":0.95906967},"labels":[],"label_agreement":null},{"id":"W2016372498","doi":"10.1016/j.agrformet.2014.10.006","title":"Efficiency of the reformulated Gash's interception model in semiarid afforestations","year":2014,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Environmental science; Interception; Canopy; Afforestation; Hydrology (agriculture); Arid; Forestry; Atmospheric sciences; Ecology; Agroforestry; Biology; Geography; Geology","score_opus":0.0038770020055205615,"score_gpt":0.17550606126650695,"score_spread":0.17162905926098637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016372498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964625,0.000004186565,0.0006273817,0.0002668097,0.00003327693,0.000091824884,0.0000044115363,0.00000797166,0.002501639],"genre_scores_gemma":[0.9994079,0.000007737082,0.00022708748,0.000042040214,0.000004309127,0.0000062806093,0.00001727599,0.0000018304443,0.00028557278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995061,0.00003931456,0.00014764526,0.00011623499,0.00006887734,0.00012180571],"domain_scores_gemma":[0.999816,0.000021968173,0.000055792178,0.000077827644,0.0000054284415,0.000023011822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010012531,0.00006549188,0.00008453839,0.000017998087,0.000053261538,0.000004775575,0.00010194494,0.00006299016,0.00001612147],"category_scores_gemma":[0.0000147518285,0.00003111073,0.000027369124,0.00014961309,0.000114077775,0.0000815054,0.00008815623,0.00008444364,0.0000071604395],"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":[0.0000149534035,0.000050197,0.32331568,0.0000049029363,0.0000051163374,2.7967653e-7,0.00086440076,0.6365199,0.029945442,0.0076229284,0.00006919924,0.0015869724],"study_design_scores_gemma":[0.0001238297,0.000035053497,0.64000493,0.0000037622344,0.0000065756503,0.000011411995,0.000014980572,0.35644922,0.00008833336,0.0031829318,0.000035142257,0.00004382419],"about_ca_topic_score_codex":0.00023061274,"about_ca_topic_score_gemma":0.0027901756,"teacher_disagreement_score":0.31668925,"about_ca_system_score_codex":0.00002630646,"about_ca_system_score_gemma":0.0000016530574,"threshold_uncertainty_score":0.15569836},"labels":[],"label_agreement":null},{"id":"W2017415106","doi":"10.1016/j.agrformet.2007.11.012","title":"Cross-site evaluation of eddy covariance GPP and RE decomposition techniques","year":2008,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":333,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Eddy covariance; Primary production; Environmental science; Ecosystem respiration; Flux (metallurgy); Atmospheric sciences; Biometeorology; Ecosystem; Canopy; Ecology; Geology; Chemistry","score_opus":0.01238547763513657,"score_gpt":0.246340600994325,"score_spread":0.23395512335918844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017415106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814254,0.00009806332,0.0001817992,0.0001082195,0.000030525774,0.00014128932,0.000011367118,0.000016179034,0.0012700057],"genre_scores_gemma":[0.99744904,0.000130888,0.0021738624,0.000035047502,0.000013605674,0.000014844933,0.00006253142,0.0000018720762,0.000118315125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945617,0.000049173115,0.00012663107,0.00014953566,0.00012263792,0.000095879426],"domain_scores_gemma":[0.99980617,0.000021731707,0.0000641736,0.000054367272,0.000021787018,0.000031758675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017828436,0.00007012385,0.00009691565,0.000014656224,0.000106774954,0.000007575694,0.000039283677,0.000076209515,0.00006140355],"category_scores_gemma":[0.000009268044,0.000044374858,0.000017577275,0.00007322315,0.00019626458,0.00016353559,0.000052175892,0.00005181007,0.0000062528256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048183523,0.00005118643,0.90371066,0.000008432585,0.000022272678,0.000005054053,0.00052551675,0.0084372135,0.077834114,0.000934193,0.00022697602,0.008196179],"study_design_scores_gemma":[0.00019401914,0.00009598588,0.98981726,0.0000035058142,0.000027745238,0.00021682837,0.000005119038,0.0072662234,0.00095793087,0.0011331389,0.00020944887,0.000072777315],"about_ca_topic_score_codex":0.00019494932,"about_ca_topic_score_gemma":0.0002984306,"teacher_disagreement_score":0.0861066,"about_ca_system_score_codex":0.000020575746,"about_ca_system_score_gemma":0.0000022127792,"threshold_uncertainty_score":0.18095541},"labels":[],"label_agreement":null},{"id":"W2017812851","doi":"10.1016/j.agrformet.2010.12.002","title":"Climate variability and crop production in Tanzania","year":2011,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":534,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Purdue University; World Bank Group","keywords":"Sorghum; Tanzania; Environmental science; Precipitation; Crop; Agriculture; Climate change; Agricultural productivity; Agronomy; Crop yield; Geography; Ecology; Biology; Meteorology","score_opus":0.030745586875315322,"score_gpt":0.21833877794109677,"score_spread":0.18759319106578146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017812851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964101,0.00018818941,1.0712959e-7,0.0015970336,0.00016015705,0.0003397453,0.000026276835,0.000069985545,0.0012084561],"genre_scores_gemma":[0.9989373,0.00045915318,0.00011121918,0.00016409814,0.00016618146,0.000034995224,0.000060253595,9.652391e-7,0.00006580846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854505,0.00014422489,0.00026410882,0.000492968,0.00009307107,0.00046060426],"domain_scores_gemma":[0.99953616,0.0001015362,0.00009812631,0.00005317225,0.000065751694,0.0001452728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003924984,0.00022178362,0.00028724966,0.000016165392,0.00015584142,0.00003438431,0.000117123665,0.00020400189,0.00016450848],"category_scores_gemma":[0.00012647347,0.0000665381,0.00004085852,0.00031944748,0.00015299369,0.00026498103,0.00013897821,0.00018385243,0.000012623349],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022587199,0.0003049067,0.7433298,0.000044597586,0.000024579365,0.000019908128,0.0015308053,0.0000017857622,0.20964366,0.003043847,0.0004496226,0.041380577],"study_design_scores_gemma":[0.00015509478,0.00031819873,0.99602973,0.00001249736,0.00001826634,0.0001802956,0.00045960755,0.0000050398603,0.00073580345,0.0015187974,0.00036163768,0.00020501534],"about_ca_topic_score_codex":0.00047701053,"about_ca_topic_score_gemma":0.0067784255,"teacher_disagreement_score":0.2526999,"about_ca_system_score_codex":0.000020477037,"about_ca_system_score_gemma":0.0000015228553,"threshold_uncertainty_score":0.37825206},"labels":[],"label_agreement":null},{"id":"W2020010706","doi":"10.1016/j.agrformet.2008.10.009","title":"Isotopic CO2 measurements of soil respiration over conventional and no-till plots in fall and spring","year":2008,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Oceanic and Atmospheric Administration; BIOCAP Canada","keywords":"Environmental science; Soil respiration; Soil carbon; Tillage; Soil water; Soil science; Agronomy; Crop residue; Ecology; Biology","score_opus":0.027391270391851293,"score_gpt":0.20965842067439175,"score_spread":0.18226715028254045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020010706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988099,0.0005069334,2.5582537e-7,0.00017208263,0.000057797875,0.00012320916,0.00000906363,0.0000122351685,0.00030856195],"genre_scores_gemma":[0.9994805,0.00019553349,0.000044193635,0.00011979225,0.000057397123,0.000009256289,0.000023185868,6.1162734e-7,0.000069550115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925506,0.000059874248,0.00019825778,0.00020934264,0.00011619075,0.00016124918],"domain_scores_gemma":[0.9997122,0.00006786342,0.0000748806,0.000021733764,0.00006244244,0.000060866783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012371167,0.00011054279,0.00018699029,0.00001589055,0.000083715226,0.000009864203,0.00004815199,0.00010461349,0.000011479307],"category_scores_gemma":[0.00003599538,0.00004265823,0.000031825883,0.00009618849,0.00013389782,0.00009962626,0.000057172525,0.00007620281,0.0000015277155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004668917,0.000029898994,0.92200994,0.000008650704,0.000013366947,0.000002183987,0.000048748905,0.0000048645975,0.07633184,0.0004954996,0.000021010406,0.0009873272],"study_design_scores_gemma":[0.00042499424,0.00026897632,0.99807304,0.000008701573,0.000010093034,0.000039664574,0.000023341297,0.0002281541,0.00039843094,0.00025233655,0.00017486366,0.00009741914],"about_ca_topic_score_codex":0.0014472323,"about_ca_topic_score_gemma":0.014615249,"teacher_disagreement_score":0.076063104,"about_ca_system_score_codex":0.000009020776,"about_ca_system_score_gemma":0.0000030138624,"threshold_uncertainty_score":0.8155652},"labels":[],"label_agreement":null},{"id":"W2020050971","doi":"10.1016/j.agrformet.2012.09.008","title":"Long-distance dispersal of spruce budworm (Choristoneura fumiferana Clemens) in Minnesota (USA) and Ontario (Canada) via the atmospheric pathway","year":2012,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service","funders":"Cooperative State Research, Education, and Extension Service; U.S. Department of Agriculture; U.S. Department of State","keywords":"Spruce budworm; Biological dispersal; Choristoneura fumiferana; Ecology; Population; Environmental science; Experimental forest; Biometeorology; Abies balsamea; Prevailing winds; Geography; Atmospheric sciences; Physical geography; Biology; Tortricidae; Meteorology; Lepidoptera genitalia; Geology; Canopy","score_opus":0.004136927432415883,"score_gpt":0.16954318502764718,"score_spread":0.16540625759523128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020050971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977945,0.000499174,0.000015385069,0.00040355418,0.00028007434,0.00030425243,0.0000066777698,0.0000067265655,0.0006896527],"genre_scores_gemma":[0.99936473,0.000023295568,0.00007427732,0.00011458427,0.00004926645,0.000025708177,0.000007479247,0.000006830463,0.0003338374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987101,0.000115719646,0.00026902772,0.00026263925,0.00020409536,0.00043843134],"domain_scores_gemma":[0.9994207,0.00015697826,0.00012632986,0.00016216707,0.000008442425,0.00012539263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025962692,0.00019643431,0.000284268,0.000004828329,0.00011167347,0.000010894848,0.0001693171,0.00008414117,0.00019143068],"category_scores_gemma":[0.000021427593,0.00010514967,0.000032730197,0.0001831931,0.0002443679,0.000241845,0.00013779989,0.00017782695,0.000010653915],"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":[0.000036348007,0.000035421963,0.99359405,0.000014058446,0.000014346722,0.000006713939,0.00060726004,0.000034283883,0.0031854727,0.00028479376,0.00041342925,0.001773795],"study_design_scores_gemma":[0.00027223054,0.00012846584,0.9957884,0.000006840638,0.000017489601,0.000094674964,0.0000867523,0.00033480898,0.00014754955,0.000023288381,0.0029411614,0.00015831356],"about_ca_topic_score_codex":0.7916294,"about_ca_topic_score_gemma":0.99446905,"teacher_disagreement_score":0.20283966,"about_ca_system_score_codex":0.00019895298,"about_ca_system_score_gemma":0.000012484384,"threshold_uncertainty_score":0.42878792},"labels":[],"label_agreement":null},{"id":"W2021380077","doi":"10.1016/s0168-1923(99)00091-x","title":"Assessing bias from boles in calculating leaf area index in immature Douglas-fir with the LI-COR canopy analyzer","year":2000,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Sport Centre Pacific","funders":"","keywords":"Crown (dentistry); Canopy; Maple; Douglas fir; Botany; Horticulture; Mathematics; Forestry; Leaf area index; Biology; Geography","score_opus":0.00963079955766597,"score_gpt":0.20441477224837026,"score_spread":0.1947839726907043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021380077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99434036,0.000121471305,0.00001406159,0.0018041662,0.00006812344,0.00021860482,0.0000022724805,0.000016116443,0.0034148023],"genre_scores_gemma":[0.9985158,0.000032142743,0.00013868831,0.0005505081,0.000041194093,0.00004094115,0.000025069412,0.0000054138063,0.00065026135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988486,0.00012438161,0.00020058372,0.00034792203,0.00011418739,0.00036433208],"domain_scores_gemma":[0.99961895,0.00012367021,0.00007381705,0.00012957801,0.0000042591114,0.000049737406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018977569,0.00018245647,0.00022640578,0.000036131387,0.00015647901,0.00004952291,0.00017635732,0.0001524059,0.00084625214],"category_scores_gemma":[0.000012983946,0.0000854722,0.000031653963,0.0003394271,0.00026910062,0.00030122328,0.000109153036,0.0003037278,0.000034098877],"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":[0.00009074656,0.0000413721,0.9780956,0.0000025051925,0.000022311002,0.000047076446,0.0004695774,0.017865472,0.00020925562,0.0002443081,0.0006605505,0.0022512365],"study_design_scores_gemma":[0.0005108717,0.0000680088,0.99488634,0.00001259572,0.000021716578,0.000018155939,0.0005474718,0.0013608199,0.000012886543,0.0008979037,0.0015118568,0.0001513505],"about_ca_topic_score_codex":0.008270828,"about_ca_topic_score_gemma":0.1791477,"teacher_disagreement_score":0.17087688,"about_ca_system_score_codex":0.00005972216,"about_ca_system_score_gemma":0.000004925578,"threshold_uncertainty_score":0.99833316},"labels":[],"label_agreement":null},{"id":"W2021424493","doi":"10.1016/s0168-1923(02)00249-6","title":"In situ isoprene measurements from foliage using a fast-response hydrocarbon instrument","year":2003,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Isoprene; Hydrocarbon; Environmental science; Environmental chemistry; Flame ionization detector; Parts-per notation; Atmospheric sciences; Chemistry; Remote sensing; Gas chromatography; Geology; Chromatography; Organic chemistry","score_opus":0.02127697099859877,"score_gpt":0.20641641800343827,"score_spread":0.1851394470048395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021424493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99719346,0.000525918,0.00001416693,0.00014659033,0.000171014,0.00011055693,0.000010331506,0.000013487516,0.0018144593],"genre_scores_gemma":[0.99871624,0.000019722956,0.0008715721,0.00017690848,0.000051093735,0.000001970495,0.000035271893,0.000001843617,0.00012538227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890846,0.00016071275,0.00020265346,0.00028800307,0.000128988,0.00031117495],"domain_scores_gemma":[0.999624,0.000097248594,0.000066991415,0.00008679019,0.000013354501,0.000111593596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018988647,0.00016901271,0.00021443378,0.0000075543635,0.00009008543,0.000025351232,0.00009309248,0.00011408155,0.0003523752],"category_scores_gemma":[0.00005246507,0.00010739872,0.000040171573,0.00014356988,0.00006812901,0.00017005012,0.000012762673,0.000119173164,0.000018485922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000353064,0.000038552902,0.82739735,0.000006822361,0.000048018104,0.00003959813,0.0003287864,0.0018732041,0.16833681,0.000028703953,0.00004461352,0.0015044798],"study_design_scores_gemma":[0.00075480714,0.00013933786,0.98255026,0.000010924335,0.000025068846,0.00006563767,0.0001736705,0.0002762883,0.014437152,0.0009846563,0.00037524203,0.00020692653],"about_ca_topic_score_codex":0.0019991442,"about_ca_topic_score_gemma":0.003331434,"teacher_disagreement_score":0.15515293,"about_ca_system_score_codex":0.0000095528785,"about_ca_system_score_gemma":0.000017128932,"threshold_uncertainty_score":0.43795925},"labels":[],"label_agreement":null},{"id":"W2023943177","doi":"10.1016/j.agrformet.2014.01.006","title":"Impacts of light use efficiency and fPAR parameterization on gross primary production modeling","year":2014,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Université Laval; Canadian Foundation for Climate and Atmospheric Sciences; Microsoft Research; National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"FluxNet; Photosynthetically active radiation; Primary production; Environmental science; Eddy covariance; Biome; Leaf area index; Atmospheric sciences; Remote sensing; Meteorology; Ecosystem; Geography; Ecology; Photosynthesis; Physics","score_opus":0.007458280282512243,"score_gpt":0.18435308437500544,"score_spread":0.1768948040924932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023943177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984481,0.000032707634,0.0002797218,0.00051022146,0.00013709012,0.00019031619,0.0000010999062,0.000027598853,0.00037317118],"genre_scores_gemma":[0.99866706,0.00006656685,0.000997618,0.00011158652,0.000061355226,0.0000015163763,0.000019908119,0.0000048465454,0.00006951591],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99903756,0.00008569516,0.00019055569,0.0003378659,0.00014441878,0.0002039234],"domain_scores_gemma":[0.99963653,0.000052645843,0.00010397689,0.000114524744,0.000019693876,0.000072618735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014990305,0.00014870474,0.00019175083,0.000022193159,0.00011432881,0.000026642485,0.00006182482,0.00011319316,0.000004005759],"category_scores_gemma":[0.000143468,0.00007853149,0.00002832332,0.00015777444,0.00013282923,0.00025182735,0.000075647535,0.00009926713,0.00000806529],"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":[0.00010142512,0.000118125834,0.06692674,0.00004475673,0.000021676013,0.0000015435943,0.0008389104,0.05814824,0.86475945,0.00061496993,0.00043215018,0.007991995],"study_design_scores_gemma":[0.00022789152,0.0005093829,0.9814957,0.000023337047,0.000032033564,0.00011294848,0.000029241659,0.00998484,0.0066763703,0.000497274,0.00021995134,0.00019105434],"about_ca_topic_score_codex":0.00017012125,"about_ca_topic_score_gemma":0.00013174913,"teacher_disagreement_score":0.91456896,"about_ca_system_score_codex":0.000027154274,"about_ca_system_score_gemma":0.0000013564024,"threshold_uncertainty_score":0.3202421},"labels":[],"label_agreement":null},{"id":"W2028244543","doi":"10.1016/j.agrformet.2013.10.007","title":"Process-based modeling of temperature and water profiles in the seedling recruitment zone: Part II. Seedling emergence timing","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Rural Adaptation Council","keywords":"Seedling; Microsite; Atmospheric sciences; Environmental science; Thermal; Soil science; Hydrology (agriculture); Biology; Geology; Physics; Meteorology; Horticulture","score_opus":0.017904726629859296,"score_gpt":0.218648606351199,"score_spread":0.20074387972133972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028244543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985135,0.000087554195,0.000022666422,0.0007688492,0.00003237164,0.0003920795,0.0000031827835,0.000008859526,0.00017093078],"genre_scores_gemma":[0.9993278,0.000041512816,0.00029694586,0.00009463238,0.00001666654,0.00011257307,0.000040414943,0.0000030844653,0.00006639542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925244,0.000042970136,0.0001954036,0.00019592808,0.00010274331,0.0002105339],"domain_scores_gemma":[0.99982905,0.000022485523,0.00003998697,0.00006407701,0.00001194649,0.000032427277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017041726,0.00011366184,0.00012880337,0.000020298743,0.00014914542,0.000018252924,0.00009413832,0.00008156398,0.000048211972],"category_scores_gemma":[0.000005792829,0.000048666134,0.00002071919,0.000092709495,0.00007277281,0.00016397765,0.00006719777,0.00012984833,0.000004181271],"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":[0.000025842795,0.000093205395,0.21836944,0.000060241633,0.000024269422,0.000005073809,0.0065437634,0.6769777,0.09624182,0.00025208347,0.000061899416,0.0013446927],"study_design_scores_gemma":[0.0005346685,0.00028649133,0.18535383,0.00006818625,0.000057556805,0.00008788266,0.0017461407,0.8062607,0.0033583697,0.0017256886,0.00013704647,0.0003834461],"about_ca_topic_score_codex":0.0002672886,"about_ca_topic_score_gemma":0.00023018493,"teacher_disagreement_score":0.12928301,"about_ca_system_score_codex":0.000008852364,"about_ca_system_score_gemma":0.0000020266682,"threshold_uncertainty_score":0.19845472},"labels":[],"label_agreement":null},{"id":"W2028485941","doi":"10.1016/j.agrformet.2009.10.005","title":"Impact of nitrogen fertilization on carbon and water balances in a chronosequence of three Douglas-fir stands in the Pacific Northwest","year":2009,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of British Columbia; Université Laval; University of Lethbridge; Canadian Forest Service; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chronosequence; Human fertilization; Eddy covariance; Evapotranspiration; Environmental science; Primary production; Ecosystem respiration; Fertilizer; Productivity; Transpiration; Animal science; Nitrogen; Forestry; Ecosystem; Agronomy; Hydrology (agriculture); Botany; Soil water; Ecology; Biology; Geography; Photosynthesis; Chemistry; Soil science; Geology","score_opus":0.005956796926567922,"score_gpt":0.19666309372932628,"score_spread":0.19070629680275836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028485941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990814,0.000059214643,0.0000019422096,0.00019692507,0.000010911163,0.00012152768,0.000009014386,0.0000024895737,0.00051661604],"genre_scores_gemma":[0.99985164,0.00007140018,0.0000134257625,0.00001869525,0.0000037641032,0.0000045751835,0.000033026925,0.0000010923549,0.0000023483547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947065,0.000039656654,0.00015371684,0.00012384243,0.000078699304,0.00013342274],"domain_scores_gemma":[0.99984795,0.000025926578,0.000042760646,0.00006158017,0.0000043425275,0.00001745469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010902117,0.00008174658,0.00013145464,0.000028851384,0.000019315945,0.000005589584,0.00007037667,0.00004835966,0.000005421941],"category_scores_gemma":[0.000003591716,0.00003363579,0.000020905876,0.00012143868,0.00010207665,0.0000692286,0.000018243814,0.00006516367,3.6180992e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047866837,0.00003428325,0.9854921,0.0000017035694,0.0000036515714,0.0000023370467,0.00046083672,0.003746835,0.009400077,0.00014276593,0.0000013008776,0.0006662403],"study_design_scores_gemma":[0.00023790587,0.00053049816,0.9949022,0.0000056137333,0.0000058281676,0.000017677903,0.000038099326,0.002053661,0.0002519675,0.0019008135,0.000003931937,0.000051792893],"about_ca_topic_score_codex":0.0014000672,"about_ca_topic_score_gemma":0.008947223,"teacher_disagreement_score":0.0094101075,"about_ca_system_score_codex":0.000025705081,"about_ca_system_score_gemma":0.0000019148588,"threshold_uncertainty_score":0.49927607},"labels":[],"label_agreement":null},{"id":"W2031246491","doi":"10.1016/j.agrformet.2012.06.016","title":"Predictive model for scalar concentration fluctuations in and above a model plant canopy","year":2012,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; University of Alberta","funders":"","keywords":"Kurtosis; Skewness; Turbulence; Mechanics; Dissipation; Environmental science; Scalar (mathematics); Turbulence kinetic energy; Stochastic modelling; Standard deviation; Statistical physics; Dispersion (optics); Mathematics; Atmospheric sciences; Meteorology; Physics; Statistics; Thermodynamics; Geometry","score_opus":0.01073107954738097,"score_gpt":0.20690928073535594,"score_spread":0.19617820118797497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031246491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959981,0.00019626791,0.0024253305,0.0005773596,0.00003678051,0.00027695138,0.00006573402,0.000010334231,0.00041315853],"genre_scores_gemma":[0.99846965,0.00008021916,0.0009682691,0.00014323731,0.000041030347,0.00008911617,0.00003689042,0.00000246389,0.0001691253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994356,0.00001395969,0.00010649638,0.00014907728,0.00005395798,0.00024092024],"domain_scores_gemma":[0.99982506,0.00004159034,0.000029648802,0.000031079773,0.000006166697,0.00006647321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007388332,0.00009155204,0.00011710715,0.000008719758,0.00011796998,0.0000071912227,0.000032598866,0.000058338406,0.000005185325],"category_scores_gemma":[0.00001725311,0.000054354197,0.000017044578,0.00004425374,0.00012262326,0.00023265049,0.00005139409,0.000049094902,0.0000025502654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017504086,0.00018224292,0.7943768,0.000021995796,0.000058710903,8.4148587e-7,0.014936862,0.1441219,0.027194833,0.01290837,0.0040437337,0.001978689],"study_design_scores_gemma":[0.0003190485,0.000060140625,0.5858896,0.000002389159,0.00001579454,0.000006089855,0.00016824518,0.4111514,0.0000849628,0.002157726,0.00006519974,0.000079398196],"about_ca_topic_score_codex":0.00006917073,"about_ca_topic_score_gemma":0.00074765476,"teacher_disagreement_score":0.26702952,"about_ca_system_score_codex":0.000026555612,"about_ca_system_score_gemma":0.0000029133469,"threshold_uncertainty_score":0.22164999},"labels":[],"label_agreement":null},{"id":"W2031688023","doi":"10.1016/j.agrformet.2010.06.007","title":"Estimating annual carbon dioxide eddy fluxes using open-path analysers for cold forest sites","year":2010,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Eddy covariance; Environmental science; Ecosystem respiration; Taiga; Atmospheric sciences; Boreal; Carbon dioxide; Ecosystem; Boreal ecosystem; Flux (metallurgy); Soil respiration; Climatology; Soil water; Ecology; Soil science; Physics; Forestry; Chemistry; Geography","score_opus":0.009462456494256113,"score_gpt":0.22609445473546422,"score_spread":0.2166319982412081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031688023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983801,0.000019840214,0.00034655392,0.00012906762,0.00019705457,0.0003663108,0.000058822283,0.000027113196,0.00047510967],"genre_scores_gemma":[0.97663015,0.000002940832,0.022762248,0.000071668575,0.00008586121,0.000038123955,0.00010431838,0.0000087920735,0.00029587894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989738,0.000029629335,0.00021972966,0.00033649738,0.000100877114,0.00033949947],"domain_scores_gemma":[0.9995367,0.00009190191,0.000115628216,0.00012377463,0.000018800107,0.00011321301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018873767,0.00018055877,0.00023541598,0.000028464126,0.00024357573,0.00006237861,0.00025447435,0.00014256488,0.000023919472],"category_scores_gemma":[0.00004298003,0.00011344777,0.00005648745,0.00015048373,0.00016200855,0.00030582075,0.0002707671,0.00016499482,0.00000438475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003464833,0.000055423105,0.6455225,0.00001054371,0.000054638305,0.000007722954,0.0002746369,0.06045346,0.29065126,0.0023555183,0.00014931429,0.0004303687],"study_design_scores_gemma":[0.0007591052,0.00028977633,0.5101402,0.000009186905,0.00017922212,0.0001922081,0.000117463096,0.48345453,0.00078266,0.002774055,0.00085029716,0.00045133854],"about_ca_topic_score_codex":0.0015424622,"about_ca_topic_score_gemma":0.0096688,"teacher_disagreement_score":0.42300105,"about_ca_system_score_codex":0.000027200225,"about_ca_system_score_gemma":0.000005733586,"threshold_uncertainty_score":0.5395417},"labels":[],"label_agreement":null},{"id":"W2033603293","doi":"10.1016/j.agrformet.2008.10.025","title":"Comparison of carbon dynamics and water use efficiency following fire and harvesting in Canadian boreal forests","year":2008,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":138,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Workers Compensation Board of Alberta; Queen's University; University of British Columbia; Environment and Climate Change Canada; University of Manitoba","funders":"","keywords":"Chronosequence; Environmental science; Ecosystem respiration; Eddy covariance; Taiga; Ecosystem; Primary production; Photosynthetically active radiation; Evapotranspiration; Coarse woody debris; Decomposer; Boreal; Black spruce; Vegetation (pathology); Forest ecology; Boreal ecosystem; Forestry; Ecology; Soil water; Geography; Soil science; Habitat; Biology; Botany; Photosynthesis","score_opus":0.009701963659807316,"score_gpt":0.20261022939790901,"score_spread":0.1929082657381017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033603293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989604,0.00008213875,0.0000021885855,0.00009802659,0.000033960383,0.000104341656,0.000008342898,0.000006932395,0.00070369843],"genre_scores_gemma":[0.99961597,0.000031531323,0.00009866478,0.000014531684,0.000004761788,0.0000041183143,0.00006683204,0.0000034558223,0.00016015158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923176,0.000029952706,0.00018091462,0.00019127909,0.00006852332,0.00029756656],"domain_scores_gemma":[0.9997444,0.000042766413,0.000034178982,0.000049913164,0.0000042249976,0.00012452065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008235791,0.00010896212,0.00019080902,0.000037057605,0.00011509289,0.0000132047635,0.00004917045,0.0000951482,0.0000022470554],"category_scores_gemma":[0.000014975808,0.000064423904,0.000016734202,0.00008162023,0.00017123508,0.00014449285,0.00007594796,0.00010044625,6.0393324e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041502426,0.000010966388,0.99701303,0.0000032606295,0.0000047995177,0.000018101891,0.0004837485,0.000947163,0.00041137403,0.000118155185,0.0000031440932,0.000982128],"study_design_scores_gemma":[0.00020733221,0.00007487873,0.9067202,0.000005397192,0.000012500282,0.0001148551,0.00003090162,0.09261897,0.0000327452,0.00005936966,0.000027135946,0.00009571752],"about_ca_topic_score_codex":0.43373486,"about_ca_topic_score_gemma":0.8477708,"teacher_disagreement_score":0.41403592,"about_ca_system_score_codex":0.0000479766,"about_ca_system_score_gemma":0.000004259739,"threshold_uncertainty_score":0.57003593},"labels":[],"label_agreement":null},{"id":"W2036884270","doi":"10.1016/j.agrformet.2006.03.026","title":"Climatic trends associated with summerfallow in the Canadian Prairies","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Climate change; Environmental science; Geography; Agriculture; Precipitation; Climatology; Ecology; Meteorology; Biology","score_opus":0.0049045861482260355,"score_gpt":0.16699665078226603,"score_spread":0.16209206463404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036884270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787685,0.000020229738,0.0000010937725,0.0022250025,0.000014312182,0.000058733054,0.000008940588,0.0000077712375,0.018895373],"genre_scores_gemma":[0.9987366,0.0000025923778,0.000036550235,0.00014845097,0.00000835503,0.000013831127,0.00013820067,0.0000018434243,0.0009135461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994444,0.000049858216,0.00009134488,0.00011193132,0.00008232795,0.00022012251],"domain_scores_gemma":[0.9998412,0.00004231143,0.000031839772,0.00004836999,0.0000030881629,0.000033151486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011050466,0.00007929069,0.000087724715,0.000027054888,0.00013613017,0.000028448667,0.00008422212,0.000063772095,0.000031708907],"category_scores_gemma":[0.0000056313424,0.00003414517,0.000014435969,0.00022404584,0.00013824509,0.000080636426,0.000015416554,0.00009165179,0.0000091066495],"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":[0.0000032912856,0.00001705885,0.9942808,4.535215e-7,0.0000056041254,0.000013366333,0.00016367328,0.0026357444,0.00002685762,0.0019072187,0.00062829535,0.00031762148],"study_design_scores_gemma":[0.0001483821,0.00006326748,0.9970204,0.0000020694663,0.000014312799,0.000052214018,0.000029508477,0.00091000187,7.2666484e-7,0.0007881709,0.0008995104,0.00007143964],"about_ca_topic_score_codex":0.16411094,"about_ca_topic_score_gemma":0.9867308,"teacher_disagreement_score":0.82261986,"about_ca_system_score_codex":0.000053596847,"about_ca_system_score_gemma":0.0000037136958,"threshold_uncertainty_score":0.84145534},"labels":[],"label_agreement":null},{"id":"W2039104315","doi":"10.1016/j.agrformet.2007.01.013","title":"Relationships of pest grasshopper populations in Alberta, Canada to soil moisture and climate variables","year":2007,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge; University of Guelph","funders":"","keywords":"Grasshopper; PEST analysis; Environmental science; Population; Ecology; Water content; Climate change; Agronomy; Moisture; Biology; Geography; Demography; Botany; Meteorology","score_opus":0.01153960168463252,"score_gpt":0.20848662683946148,"score_spread":0.19694702515482895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039104315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99105805,0.0000547447,0.000022996894,0.0012043172,0.000089286405,0.00010142449,0.000001796008,0.0000044818808,0.0074629234],"genre_scores_gemma":[0.99895656,0.000014719521,0.00062073575,0.00018739232,0.000025629428,7.876086e-7,0.000016371929,0.000003258688,0.00017455165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992732,0.000038244227,0.00019304868,0.00018053644,0.00008563012,0.00022937274],"domain_scores_gemma":[0.9996383,0.00014566048,0.00004822381,0.00006297262,0.0000086743485,0.000096145064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017081521,0.00009683504,0.00014333037,0.000027108264,0.00011595288,0.0000059595545,0.00004354469,0.000092710936,0.000007760751],"category_scores_gemma":[0.00006691687,0.000059852748,0.000013748809,0.0001945928,0.000069288275,0.00006411848,0.00006983309,0.00012141292,0.000002589164],"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":[0.000012308414,0.000009304327,0.99435157,0.0000043848536,0.0000039574593,0.000003999546,0.0002868434,0.0012402934,0.0011846342,0.0015145383,0.0004366716,0.0009514879],"study_design_scores_gemma":[0.00012294196,0.000031566087,0.99798125,0.000007218033,0.000014606996,0.00005070584,0.000208024,0.000029785057,0.00005876496,0.0006791239,0.00072512764,0.00009085848],"about_ca_topic_score_codex":0.83254415,"about_ca_topic_score_gemma":0.99902725,"teacher_disagreement_score":0.16648312,"about_ca_system_score_codex":0.000042441934,"about_ca_system_score_gemma":0.000005850657,"threshold_uncertainty_score":0.24407242},"labels":[],"label_agreement":null},{"id":"W2040146126","doi":"10.1016/j.agrformet.2012.12.014","title":"Biases in discrete CH4 and N2O sampling protocols associated with temporal variation of gas fluxes from manure storage systems","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental science; Methane; Sampling (signal processing); Flux (metallurgy); Greenhouse gas; Diurnal temperature variation; Atmospheric sciences; Manure; Nitrous oxide; Diurnal cycle; Daytime; Sunrise; Spatial variability; Hydrology (agriculture); Soil science; Chemistry; Mathematics; Statistics; Agronomy; Ecology; Geology; Detector","score_opus":0.01925000446417306,"score_gpt":0.23038837804992846,"score_spread":0.2111383735857554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040146126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749106,0.00020475993,0.00020409857,0.00022515409,0.0000253259,0.0016984628,0.000022988426,0.000089063906,0.000039057864],"genre_scores_gemma":[0.9984464,0.0000095129635,0.00028623614,0.0000074550458,0.000033378008,0.0010114864,0.00011831776,0.0000066508223,0.00008055166],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992151,0.000035568963,0.0002472053,0.00020495268,0.00008453476,0.00021261626],"domain_scores_gemma":[0.99943054,0.00025777673,0.00012729569,0.00008325812,0.000051333598,0.000049820905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000079148034,0.00015124111,0.0003436259,0.0000473516,0.000037406033,0.000029498948,0.00008075659,0.00019869006,0.000011698949],"category_scores_gemma":[0.00024803032,0.00007929376,0.000022662076,0.00011441815,0.00006125966,0.00016245036,0.0000504081,0.00015451286,7.535547e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019362241,0.000121483696,0.39117235,0.00018283329,0.00027912174,0.000011098192,0.0006659238,0.008733667,0.59469724,0.0019598776,0.00022609686,0.0017566886],"study_design_scores_gemma":[0.0011353448,0.0002821323,0.98331755,0.00025665574,0.000034560493,0.000008542949,0.00035661395,0.012292112,0.0013779901,0.00067512534,0.000063348256,0.00019999158],"about_ca_topic_score_codex":0.00140372,"about_ca_topic_score_gemma":0.0001795881,"teacher_disagreement_score":0.59331924,"about_ca_system_score_codex":0.00001923391,"about_ca_system_score_gemma":0.00000422127,"threshold_uncertainty_score":0.32335058},"labels":[],"label_agreement":null},{"id":"W2041961684","doi":"10.1016/j.agrformet.2013.04.013","title":"Effect of long-term water table manipulation on peatland evapotranspiration","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"U.S. Department of Agriculture; U.S. Fish and Wildlife Service; Office of Science; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Michigan Technological University","keywords":"Evapotranspiration; Eddy covariance; Water table; Peat; Environmental science; Hydrology (agriculture); Growing season; Vapour Pressure Deficit; Atmospheric sciences; Biometeorology; Bowen ratio; Transpiration; Canopy; Ecosystem; Ecology; Photosynthesis; Geology; Groundwater; Botany","score_opus":0.005545196295012507,"score_gpt":0.19903032046534608,"score_spread":0.19348512417033356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041961684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973305,0.000015190135,0.000018725856,0.00024079932,0.00006842413,0.00028842068,0.0000013956567,0.000014252388,0.0020223102],"genre_scores_gemma":[0.9992973,0.000012541027,0.000011256988,0.00005917505,0.000040209386,0.000044154323,0.00013776484,0.0000035427886,0.00039403207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992704,0.00008145678,0.00015095975,0.00019719913,0.00008009051,0.00021989936],"domain_scores_gemma":[0.99976367,0.000059302936,0.00004253607,0.000073605166,0.000008044962,0.000052872674],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011569894,0.00012219092,0.00018200248,0.000019002708,0.000077233184,0.000012990019,0.00006643118,0.00010232122,0.0009361612],"category_scores_gemma":[0.000006277213,0.000053759606,0.000033565222,0.000047691152,0.00008210151,0.00016187916,0.000038665377,0.000064240805,0.0001762379],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059581867,0.000023357334,0.94268197,0.0000147972605,0.000012494179,0.0000022751356,0.000070111164,0.00051675097,0.052244253,0.00005168241,0.00024517791,0.00407758],"study_design_scores_gemma":[0.0005366876,0.0016438778,0.98861414,0.000003290072,0.000028049039,0.000028437616,0.0000013581761,0.0001363353,0.008721443,0.00013519562,0.00006305018,0.00008814334],"about_ca_topic_score_codex":0.00034779168,"about_ca_topic_score_gemma":0.00064512965,"teacher_disagreement_score":0.045932192,"about_ca_system_score_codex":0.000015206799,"about_ca_system_score_gemma":5.648669e-7,"threshold_uncertainty_score":0.9999771},"labels":[],"label_agreement":null},{"id":"W2050081441","doi":"10.1016/j.agrformet.2006.06.011","title":"Agricultural production, greenhouse gas emissions and mitigation potential","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":201,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Greenhouse gas; Environmental science; Agriculture; Manure management; Manure; Climate change; Nitrous oxide; Agronomy; Environmental protection; Agricultural economics; Geography; Economics; Ecology","score_opus":0.0027441980671827865,"score_gpt":0.17492533840583163,"score_spread":0.17218114033864884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050081441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99400884,0.00015954248,0.000020818017,0.0039325072,0.000114056595,0.00032104456,0.000005679913,0.0000691144,0.0013684096],"genre_scores_gemma":[0.9967084,0.000072260635,0.00039029596,0.00008225567,0.00022340019,0.000027501685,0.00009289748,0.0000063454363,0.0023966362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986526,0.00007829882,0.00023706388,0.00047161058,0.0001773628,0.0003831037],"domain_scores_gemma":[0.99960303,0.000023299071,0.00009070692,0.00010726202,0.000012384982,0.00016332227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103048355,0.00024203154,0.00019260251,0.00001780951,0.00043386288,0.000044080283,0.000091443966,0.00015752895,0.00018314947],"category_scores_gemma":[0.000031685227,0.0001271047,0.00006027852,0.00018102198,0.0004898728,0.0004734915,0.00017650783,0.00016464916,0.000043868215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011161304,0.0005568458,0.5730381,0.00004974607,0.00006898975,0.00003300887,0.0010325587,0.0073061488,0.35887438,0.0017969633,0.047185913,0.009945691],"study_design_scores_gemma":[0.00024876633,0.00017895653,0.99182403,0.0000037846369,0.000051872834,0.0005035403,0.00056761486,0.000022936785,0.00096081913,0.0035184026,0.0018809998,0.00023826044],"about_ca_topic_score_codex":0.0009572365,"about_ca_topic_score_gemma":0.0010626236,"teacher_disagreement_score":0.41878593,"about_ca_system_score_codex":0.00008488908,"about_ca_system_score_gemma":0.0000022200963,"threshold_uncertainty_score":0.51831794},"labels":[],"label_agreement":null},{"id":"W2051491428","doi":"10.1016/j.agrformet.2008.03.006","title":"Wavelet analysis of wintertime and spring thaw CO2 and N2O fluxes from agricultural fields","year":2008,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Lapin Yliopisto; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Environmental science; Flux (metallurgy); Nitrous oxide; Atmospheric sciences; Wavelet; Hydrology (agriculture); Chemistry; Geology","score_opus":0.01920800726834844,"score_gpt":0.19585424187519476,"score_spread":0.1766462346068463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051491428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99570465,0.0025252895,0.0000017684653,0.00034138118,0.00007608583,0.00007120569,0.00060677424,0.000013608414,0.0006592535],"genre_scores_gemma":[0.9968991,0.0016354136,0.00008105792,0.00016193034,0.00008515161,9.909727e-7,0.0010483767,0.0000012720011,0.00008670538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991597,0.000042704694,0.00019864173,0.0002627555,0.00008604278,0.00025016765],"domain_scores_gemma":[0.99948806,0.00020594247,0.000073604104,0.000071131726,0.000032353648,0.00012893799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049467795,0.00015692576,0.0003735907,0.000065879176,0.00014468266,0.000023177543,0.000068483656,0.00012038952,0.0006662127],"category_scores_gemma":[0.0000138494925,0.00008245841,0.0000668576,0.00019828626,0.00020706531,0.00016055946,0.00003619198,0.00009800904,0.00000628241],"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":[0.000027150443,0.000006577247,0.99632436,0.0000071532536,0.00020686434,0.000008843888,0.00092737295,0.000029414272,0.0014267005,0.00003103916,0.00017062826,0.0008339069],"study_design_scores_gemma":[0.00022219437,0.0001701693,0.99773705,0.0000056870417,0.00027783602,0.00006674385,0.00046608606,0.000553761,0.00010928746,0.00007060246,0.00017940167,0.00014116435],"about_ca_topic_score_codex":0.020283235,"about_ca_topic_score_gemma":0.0856893,"teacher_disagreement_score":0.06540606,"about_ca_system_score_codex":0.0000011163321,"about_ca_system_score_gemma":0.0000027444732,"threshold_uncertainty_score":0.9862408},"labels":[],"label_agreement":null},{"id":"W2054259981","doi":"10.1016/j.agrformet.2010.03.002","title":"Biometric and eddy-covariance based estimates of carbon fluxes in an age-sequence of temperate pine forests","year":2010,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Eddy covariance; Primary production; Ecosystem respiration; Ecosystem; Environmental science; Temperate rainforest; Atmospheric sciences; Temperate forest; Productivity; Forest ecology; Temperate climate; Ecology; Forestry; Biology; Geography; Physics","score_opus":0.008984533089089758,"score_gpt":0.21431158308063872,"score_spread":0.20532704999154897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054259981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995635,0.00004981992,0.000029763727,0.00007299207,0.000047497408,0.00010956688,0.000019083118,0.000008281619,0.000099471465],"genre_scores_gemma":[0.9960422,0.0000216886,0.0038403482,0.000014165344,0.000007258713,0.0000084055,0.000046608697,0.000003167548,0.000016140355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993254,0.000027472783,0.00020447615,0.00020123135,0.0000815957,0.00015985072],"domain_scores_gemma":[0.99968493,0.00006281696,0.000087988454,0.00009585763,0.00001185309,0.000056572437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012968885,0.00010915173,0.00020017025,0.00008953395,0.000028236283,0.000009008631,0.00010251911,0.000103462924,0.000015570497],"category_scores_gemma":[0.000034717526,0.00006691792,0.000017208155,0.00039414383,0.00031890126,0.00012867528,0.000056815854,0.00010523772,6.928933e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013184005,0.000030644365,0.642205,0.000008902056,0.000003315243,0.0000040817345,0.00004760466,0.0024959191,0.3542451,0.00030292894,8.176498e-7,0.0006424786],"study_design_scores_gemma":[0.00027997736,0.00021381477,0.96140337,0.0000063358675,0.000013223142,0.00003065251,0.0000064430524,0.034073383,0.0028044938,0.0010660079,0.000009333071,0.00009294573],"about_ca_topic_score_codex":0.0013962885,"about_ca_topic_score_gemma":0.009077916,"teacher_disagreement_score":0.3514406,"about_ca_system_score_codex":0.00000775744,"about_ca_system_score_gemma":0.0000038712183,"threshold_uncertainty_score":0.506569},"labels":[],"label_agreement":null},{"id":"W2054527437","doi":"10.1016/j.agrformet.2006.08.006","title":"Temporal and spatial variability of soil respiration in a boreal mixedwood forest","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McMaster University","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; BIOCAP Canada; McMaster University","keywords":"Environmental science; Spatial variability; Transect; Soil respiration; Growing season; Taiga; Litter; Water content; Seasonality; Boreal; Atmospheric sciences; Soil water; Soil science; Agronomy; Ecology; Forestry; Geography; Geology; Mathematics; Biology","score_opus":0.007931691090418712,"score_gpt":0.19171354581798994,"score_spread":0.18378185472757122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054527437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983603,0.00011789212,0.000004981133,0.00060514716,0.000058255468,0.00018463077,0.000025824003,0.000023391973,0.0006196007],"genre_scores_gemma":[0.9994756,0.00002008282,0.00006396529,0.000050114635,0.00014731383,0.000017929367,0.00019643812,7.7741817e-7,0.000027776989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888504,0.00014059647,0.00032677254,0.00029581855,0.00010865341,0.00024313651],"domain_scores_gemma":[0.99955285,0.00017331021,0.00011524133,0.00004042029,0.000058752325,0.000059423815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028436034,0.00015465276,0.00027161508,0.000018457811,0.00006849114,0.000019771414,0.00008184926,0.00018174358,0.0000101434225],"category_scores_gemma":[0.000046868812,0.000055839744,0.00005525946,0.00020209221,0.00016215774,0.00009342643,0.000067513545,0.00011094277,8.016829e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084072664,0.00007591729,0.979894,0.000008602818,0.000006282063,0.0000028721752,0.000026934478,0.00003524807,0.010805368,0.0032078999,0.000026502312,0.0058263084],"study_design_scores_gemma":[0.00033797766,0.0004373443,0.98824435,0.000004644182,0.000015731435,0.000028092336,0.000043203912,0.0014295555,0.00026896383,0.008976625,0.000081672544,0.00013186071],"about_ca_topic_score_codex":0.043737832,"about_ca_topic_score_gemma":0.31932282,"teacher_disagreement_score":0.275585,"about_ca_system_score_codex":0.000013792406,"about_ca_system_score_gemma":0.0000053111803,"threshold_uncertainty_score":0.96263},"labels":[],"label_agreement":null},{"id":"W2055287884","doi":"10.1016/j.agrformet.2006.08.013","title":"The Fluxnet-Canada Research Network: Influence of climate and disturbance on carbon cycling in forests and peatlands","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; University of Lethbridge; Université Laval","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; BIOCAP Canada","keywords":"Peat; Disturbance (geology); FluxNet; Environmental science; Cycling; Carbon cycle; Biometeorology; Ecology; Carbon flux; Atmospheric sciences; Climatology; Forestry; Geography; Ecosystem; Geology; Eddy covariance; Biology","score_opus":0.0060526372670211106,"score_gpt":0.21369029160172145,"score_spread":0.20763765433470036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055287884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996136,0.00051921647,1.9194027e-7,0.00059250294,0.000036269033,0.00014404354,0.0000031371217,0.00000441584,0.0025642193],"genre_scores_gemma":[0.99917305,0.0006019504,0.00001392541,0.000042107935,0.00005106027,0.000020904374,0.000012897054,0.0000033680058,0.000080730286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987174,0.00011506154,0.00021743795,0.0002709849,0.00014675525,0.0005323518],"domain_scores_gemma":[0.99930084,0.00047241765,0.00006508025,0.000092376926,0.000011440161,0.000057846584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004765237,0.00011902497,0.00019144734,0.000017060593,0.0002684124,0.000018752784,0.00010684236,0.00007965182,0.0000021922763],"category_scores_gemma":[0.000037093898,0.00006040895,0.000011458624,0.0001604469,0.00043641485,0.000050648672,0.00022110654,0.00018840912,3.6263947e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006306937,0.000009552348,0.99373037,0.0000058147602,0.000003606748,0.000008842839,0.000031074418,0.0033844982,0.00031040344,0.0012683008,0.00026471508,0.00091972604],"study_design_scores_gemma":[0.00033602567,0.0002306397,0.99581444,0.000010578859,0.000005221278,0.000029076493,0.000026316215,0.00051594904,0.000022817474,0.002127942,0.0007957239,0.000085266736],"about_ca_topic_score_codex":0.09683158,"about_ca_topic_score_gemma":0.8469776,"teacher_disagreement_score":0.750146,"about_ca_system_score_codex":0.000034126777,"about_ca_system_score_gemma":0.000006778366,"threshold_uncertainty_score":0.90918267},"labels":[],"label_agreement":null},{"id":"W2055734610","doi":"10.1016/j.agrformet.2012.11.012","title":"Classification of tree species based on structural features derived from high density LiDAR data","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Forest Research Institute; York University","funders":"","keywords":"Lidar; Tree (set theory); Cluster analysis; Remote sensing; Scale (ratio); Mathematics; Artificial intelligence; Computer science; Geography; Cartography","score_opus":0.015330037998921492,"score_gpt":0.2090082377256002,"score_spread":0.1936781997266787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055734610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99617654,0.000015301708,0.00007286939,0.0019388747,0.00006068146,0.00017236579,0.000035828296,0.000023334282,0.0015041932],"genre_scores_gemma":[0.99604386,0.0000062884965,0.0030754942,0.00014341025,0.00005881599,0.0000028117488,0.0004976712,0.0000037204543,0.0001679012],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991993,0.00005872656,0.00014441276,0.00032851167,0.00012507554,0.00014401248],"domain_scores_gemma":[0.99934393,0.000118556745,0.00009690292,0.00036129978,0.000016988644,0.000062294916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000428207,0.000119592696,0.00015829163,0.000015073354,0.00011797647,0.0000241392,0.00022917458,0.00009045863,0.00022942777],"category_scores_gemma":[0.000033624077,0.00006819353,0.000026123296,0.00009521204,0.0002577212,0.00012873611,0.00011863219,0.00009840247,0.000069745714],"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":[0.000051236668,0.000052573218,0.20393555,0.0000045307443,0.000034538945,0.0000010793689,0.00020826985,0.00031611486,0.7608575,0.00090692897,0.0054046772,0.028226994],"study_design_scores_gemma":[0.00017536762,0.00006664413,0.99217945,0.0000025162767,0.00002430886,0.0000046690016,0.00007552893,0.001962823,0.0040137176,0.0011827991,0.00021729879,0.0000948677],"about_ca_topic_score_codex":0.0055952743,"about_ca_topic_score_gemma":0.003183945,"teacher_disagreement_score":0.7882439,"about_ca_system_score_codex":0.000018523726,"about_ca_system_score_gemma":0.000002779834,"threshold_uncertainty_score":0.8458418},"labels":[],"label_agreement":null},{"id":"W2056401978","doi":"10.1016/j.agrformet.2014.07.013","title":"Simulating impacts of water stress on woody biomass in the southern boreal region of western Canada using a dynamic vegetation model","year":2014,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Canadian Forest Service; University of Toronto","funders":"Departament d'Universitats, Recerca i Societat de la Informació; Goddard Space Flight Center","keywords":"Boreal; Environmental science; Taiga; Biomass (ecology); Eddy covariance; Primary production; Vegetation (pathology); Grassland; Atmospheric sciences; Leaf area index; Ibis; Physical geography; Hydrology (agriculture); Ecology; Ecosystem; Forestry; Geography; Geology; Biology","score_opus":0.007237750578023788,"score_gpt":0.19207159222654877,"score_spread":0.18483384164852498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056401978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99952686,0.0000061241785,0.00014966418,0.00008270861,0.000013492493,0.000084229934,0.000009320092,0.000002301267,0.00012529473],"genre_scores_gemma":[0.9998599,0.0000016201865,0.000051112533,0.00002977008,0.0000043965492,0.000001790784,0.000038993923,0.0000025012212,0.000009861101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994171,0.000069039575,0.00016185423,0.0001071862,0.00010591657,0.00013885534],"domain_scores_gemma":[0.9997788,0.000046760688,0.000080828686,0.00006687585,0.000006127348,0.0000205784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009999007,0.0000777231,0.00011434618,0.000018078325,0.00003557225,0.0000048667857,0.00007762888,0.00004902067,6.826591e-7],"category_scores_gemma":[0.0000057775164,0.000034660905,0.000017898525,0.000058448433,0.00005398819,0.000052805717,0.00003157141,0.000056063946,3.9604996e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018083067,0.000015652073,0.32386848,0.0000129153395,0.000006486587,0.0000018992531,0.0012819876,0.6582817,0.01618956,0.000068523856,6.975633e-7,0.00025402108],"study_design_scores_gemma":[0.00014814375,0.000057815745,0.45831198,0.000011423234,0.000011833212,0.000012977075,0.00007385867,0.54080355,0.00019349366,0.0003260777,9.359993e-7,0.00004789882],"about_ca_topic_score_codex":0.16862808,"about_ca_topic_score_gemma":0.65379184,"teacher_disagreement_score":0.4851638,"about_ca_system_score_codex":0.000040751926,"about_ca_system_score_gemma":0.0000044600383,"threshold_uncertainty_score":0.8369081},"labels":[],"label_agreement":null},{"id":"W2059817046","doi":"10.1016/j.agrformet.2009.11.008","title":"Impact of mountain pine beetle on the net ecosystem production of lodgepole pine stands in British Columbia","year":2009,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":147,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of Northern British Columbia; Government of British Columbia; Canadian Forest Service; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Forests, Lands and Natural Resource Operations","keywords":"Mountain pine beetle; Pinus contorta; Canopy; Dendroctonus; Growing season; Ecosystem; Eddy covariance; Environmental science; Forestry; Ecology; Bark beetle; Biology; Geography; Curculionidae","score_opus":0.004394282418552173,"score_gpt":0.18530804423731556,"score_spread":0.1809137618187634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059817046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999028,0.00003341215,0.0000025131135,0.0002482576,0.000033833363,0.00017093764,0.000028152352,0.0000052606583,0.00044962048],"genre_scores_gemma":[0.9995273,0.000042294883,0.000021947542,0.00001605517,0.000014192617,0.00000479607,0.000033273416,0.0000015945449,0.00033857138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994285,0.00004468265,0.00018217824,0.00013410149,0.0000829064,0.00012760518],"domain_scores_gemma":[0.999787,0.00001953814,0.00008638018,0.000074012314,0.000008870518,0.000024222398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013407855,0.000057877318,0.0001478728,0.000012014407,0.00003999211,0.000013641927,0.00007041051,0.000052721578,0.00007737349],"category_scores_gemma":[0.000014708812,0.00003912177,0.000036580423,0.00013562824,0.000060648097,0.00006865376,0.000023258262,0.000069981135,0.0000019054626],"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":[0.000044352928,0.00018721483,0.9551371,0.0000071345776,0.00002614932,0.0000053670574,0.00019569152,0.01618885,0.022409473,0.00022627329,0.0014416357,0.004130807],"study_design_scores_gemma":[0.00017101897,0.0005851474,0.9973264,0.000011757855,0.000008015678,0.000069553695,0.000021325373,0.0010835344,0.00007389003,0.0005468227,0.00004881056,0.000053730706],"about_ca_topic_score_codex":0.0077212006,"about_ca_topic_score_gemma":0.07512077,"teacher_disagreement_score":0.06739957,"about_ca_system_score_codex":0.00004590914,"about_ca_system_score_gemma":0.000002831728,"threshold_uncertainty_score":0.99888647},"labels":[],"label_agreement":null},{"id":"W2064209153","doi":"10.1016/j.agrformet.2004.11.014","title":"A micrometeorological mass balance approach for greenhouse gas flux measurements from stored animal manure","year":2005,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental science; Wind speed; Flux (metallurgy); Atmospheric sciences; Manure; Wind direction; Methane; Sampling (signal processing); Airflow; Tower; Meteorology; Greenhouse gas; Trace gas; Mass flux; Hydrology (agriculture); Chemistry; Mechanics; Geology; Physics","score_opus":0.023161459844652343,"score_gpt":0.220210081670761,"score_spread":0.19704862182610866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064209153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99090207,0.0012370474,0.0046703164,0.0017158692,0.00008615062,0.00037997906,0.00006907168,0.00042501205,0.0005145121],"genre_scores_gemma":[0.96489316,0.000040635972,0.033590667,0.00018424577,0.00036437227,0.00015886544,0.00019411811,0.000018016188,0.0005559464],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99837726,0.000035225024,0.00032271372,0.0005433043,0.00015930654,0.000562213],"domain_scores_gemma":[0.99934417,0.00014409456,0.00009288256,0.00019848833,0.00007727717,0.00014306497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013511219,0.0003246101,0.000492363,0.00005043227,0.00012967947,0.000030230587,0.000332669,0.00045414406,0.00006761604],"category_scores_gemma":[0.00017743936,0.0001925591,0.0001494312,0.00011883782,0.00011507554,0.00014223377,0.00010238433,0.0002943103,0.00001796722],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037149613,0.00009994836,0.007008869,0.000022995882,0.00014994813,0.0000026036519,0.00005939299,0.00042824761,0.9821405,0.00054867106,0.00374316,0.0054242066],"study_design_scores_gemma":[0.023609264,0.0050015156,0.3836201,0.000092273745,0.0012273827,0.0003344768,0.0010751311,0.1444671,0.3570241,0.008633456,0.07060223,0.004312932],"about_ca_topic_score_codex":0.00003515707,"about_ca_topic_score_gemma":0.000022324564,"teacher_disagreement_score":0.62511635,"about_ca_system_score_codex":0.000047751844,"about_ca_system_score_gemma":0.000005150538,"threshold_uncertainty_score":0.7852332},"labels":[],"label_agreement":null},{"id":"W2066974505","doi":"10.1016/j.agrformet.2011.09.013","title":"Efficient stabilization of crop yield prediction in the Canadian Prairies","year":2011,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Flexibility (engineering); Bayesian probability; Range (aeronautics); Econometrics; Computer science; Yield (engineering); Dimension (graph theory); Statistics; Mathematics","score_opus":0.04741848797863706,"score_gpt":0.20941326783532505,"score_spread":0.16199477985668798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066974505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994925,0.00015514609,2.9094244e-7,0.0022316775,0.000086109714,0.00031901087,0.00007203169,0.00001857622,0.002192144],"genre_scores_gemma":[0.9995338,0.000023421837,0.000017669303,0.00019142921,0.0000718017,0.000025355794,0.00009708698,5.046693e-7,0.000038983828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908376,0.000090044436,0.00021969588,0.00019158196,0.00012841076,0.00028650885],"domain_scores_gemma":[0.99955,0.00013526384,0.00009156713,0.00004263496,0.00009044893,0.00009007377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023899702,0.00012939509,0.00016509552,0.00002180498,0.00016803405,0.000023728438,0.00016942387,0.00015981946,0.00013952854],"category_scores_gemma":[0.00010514491,0.000032520944,0.000042661773,0.00040273837,0.00013788488,0.00006479963,0.000030350295,0.00012622228,0.000005802881],"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":[0.00013871421,0.00039327345,0.88536024,0.00004160657,0.00003834408,0.00001739968,0.014388855,0.00016216056,0.07471575,0.011387377,0.0029739318,0.010382364],"study_design_scores_gemma":[0.000078286896,0.00036171844,0.9964913,0.000011587238,0.000014750408,0.00004948673,0.001882167,0.00003234297,0.00031889768,0.00025681185,0.00041807196,0.00008456253],"about_ca_topic_score_codex":0.08566067,"about_ca_topic_score_gemma":0.8745156,"teacher_disagreement_score":0.78885496,"about_ca_system_score_codex":0.000026786873,"about_ca_system_score_gemma":0.000006624948,"threshold_uncertainty_score":0.920428},"labels":[],"label_agreement":null},{"id":"W2072119759","doi":"10.1016/j.agrformet.2006.12.005","title":"Sensitivity of gap fraction to maize architectural characteristics based on 4D model simulations","year":2007,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria","keywords":"Leaf area index; Canopy; Mathematics; Sensitivity (control systems); Parametric statistics; Mean squared error; Poisson distribution; Azimuth; Range (aeronautics); Fraction (chemistry); Statistics; Geometry; Agronomy; Botany; Materials science","score_opus":0.01666193983735415,"score_gpt":0.2258791185215734,"score_spread":0.20921717868421927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072119759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959651,0.000008440383,0.0012427983,0.0021545053,0.000060828854,0.00023383794,0.00008592359,0.000086558175,0.00016196194],"genre_scores_gemma":[0.99875534,0.0000022100633,0.00039401982,0.00063366385,0.000085543106,0.0000065005997,0.00009368839,0.00000105985,0.000027958406],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99898624,0.00006914507,0.00024929154,0.0002627111,0.00011435204,0.00031822672],"domain_scores_gemma":[0.99898934,0.0006417618,0.00011578797,0.000059505735,0.00009028902,0.00010333205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029253802,0.00016598238,0.00027270545,0.000033646924,0.00020801945,0.000013756742,0.00008553515,0.00020665424,0.000031553427],"category_scores_gemma":[0.00013515369,0.000059933096,0.00007384732,0.00021412523,0.000115934716,0.00005300286,0.00004267559,0.00018372724,0.00000827043],"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":[0.0006386629,0.00019271144,0.09934792,0.000011085253,0.000031862397,0.000012229962,0.00006500454,0.008228956,0.8246481,0.005788424,0.000050633127,0.060984425],"study_design_scores_gemma":[0.0001963199,0.00055150135,0.97537,0.000008123582,0.000028202721,0.000021248794,0.0000478744,0.020221217,0.0022243524,0.0010859611,0.000089924775,0.00015529877],"about_ca_topic_score_codex":0.00012578341,"about_ca_topic_score_gemma":0.00391357,"teacher_disagreement_score":0.87602204,"about_ca_system_score_codex":0.000015881931,"about_ca_system_score_gemma":0.0000034572604,"threshold_uncertainty_score":0.24440008},"labels":[],"label_agreement":null},{"id":"W2073523345","doi":"10.1016/j.agrformet.2013.04.027","title":"Primary and secondary effects of climate variability on net ecosystem carbon exchange in an evergreen Eucalyptus forest","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Environmental science; Evergreen; Shortwave radiation; Shortwave; Eddy covariance; Atmospheric sciences; Vapour Pressure Deficit; Primary production; Carbon cycle; Ecosystem; Ecosystem respiration; Normalized Difference Vegetation Index; Leaf area index; Climatology; Ecology; Radiation; Photosynthesis; Radiative transfer; Transpiration; Botany; Biology","score_opus":0.002863759298413682,"score_gpt":0.16340831215884719,"score_spread":0.1605445528604335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073523345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963813,0.000060574657,0.0000021718267,0.000073577234,0.00006892222,0.0004030861,0.00001861946,0.000014380764,0.0029773887],"genre_scores_gemma":[0.9995734,0.00010521144,0.00008597617,0.000062394894,0.000016932567,0.00005122811,0.00006570423,0.0000045652605,0.000034560515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900305,0.00015593141,0.00021079555,0.0002889902,0.000086567095,0.00025463334],"domain_scores_gemma":[0.9995663,0.00013495181,0.00007685514,0.00012153968,0.0000070498604,0.00009326117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018033209,0.00014617245,0.0002491941,0.000030832445,0.000041956977,0.0000136029985,0.00008713992,0.00013575093,0.000033424236],"category_scores_gemma":[0.00001034546,0.0000881472,0.000023770554,0.00009240266,0.00009266279,0.00019459844,0.00014025763,0.00013197861,0.000007512117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029173098,0.00007281836,0.98943853,0.00011292285,0.000010435237,0.000006497439,0.00023153618,0.00053166325,0.003848661,0.00041626144,0.000013856291,0.0052876305],"study_design_scores_gemma":[0.00039511672,0.00040482744,0.99175465,0.000013543631,0.000016879441,0.000029618832,0.000012047102,0.006241973,0.00003555456,0.00092098815,0.000051641025,0.00012318215],"about_ca_topic_score_codex":0.0012231328,"about_ca_topic_score_gemma":0.0068326443,"teacher_disagreement_score":0.00571031,"about_ca_system_score_codex":0.00004452797,"about_ca_system_score_gemma":0.0000024237202,"threshold_uncertainty_score":0.3812776},"labels":[],"label_agreement":null},{"id":"W2077298168","doi":"10.1016/j.agrformet.2013.01.002","title":"Response of plant biomass and soil respiration to experimental warming and precipitation manipulation in a Northern Great Plains grassland","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Soil respiration; Environmental science; Biomass (ecology); Precipitation; Grassland; Ecosystem respiration; Primary production; Respiration; Water content; Soil carbon; Agronomy; Soil water; Ecosystem; Soil science; Ecology; Botany; Biology; Geology","score_opus":0.008476379055436816,"score_gpt":0.19568213845371368,"score_spread":0.18720575939827686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077298168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993611,0.00004466915,0.000022803462,0.00024251852,0.00001902986,0.0002477026,0.000009180572,0.000006444127,0.00004654332],"genre_scores_gemma":[0.9996728,0.000008466382,0.00018038308,0.000021249494,0.000005373287,0.00003197571,0.000036863792,0.0000025393786,0.000040374285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994454,0.000067928195,0.00014953701,0.0001654013,0.00006425079,0.000107501844],"domain_scores_gemma":[0.9998076,0.000052957945,0.000047926686,0.000037447706,0.0000057862026,0.000048312977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011343503,0.00008043257,0.00009857564,0.000047207166,0.00005172839,0.000016742091,0.000026169102,0.000060982235,0.0000079748],"category_scores_gemma":[0.000013119017,0.00005227704,0.00000868271,0.00008033134,0.000054561096,0.00018883376,0.000054193737,0.000033596007,0.0000041078206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013844497,0.0000152337825,0.7854115,0.0000032826772,0.000004361006,0.0000016054361,0.0012279968,0.0012192382,0.21131834,0.000059321257,0.0000122056335,0.0005884889],"study_design_scores_gemma":[0.0003095985,0.0002572257,0.9920084,0.000006278763,0.000005660767,0.000040842224,0.00013519054,0.005731831,0.0012147365,0.00018444634,0.00002733379,0.00007845928],"about_ca_topic_score_codex":0.0014982598,"about_ca_topic_score_gemma":0.012902784,"teacher_disagreement_score":0.2101036,"about_ca_system_score_codex":0.000026720998,"about_ca_system_score_gemma":0.0000012368397,"threshold_uncertainty_score":0.7200057},"labels":[],"label_agreement":null},{"id":"W2079537124","doi":"10.1016/s0168-1923(02)00041-2","title":"Seasonal and interannual variation in evapotranspiration, energy balance and surface conductance in a northern temperate grassland","year":2002,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":326,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; University of Lethbridge","keywords":"Evapotranspiration; Sensible heat; Eddy covariance; Growing season; Environmental science; Latent heat; Bowen ratio; Precipitation; Atmospheric sciences; Hydrology (agriculture); Agronomy; Ecosystem; Geography; Meteorology; Ecology; Geology","score_opus":0.005063860476041209,"score_gpt":0.1646212580004572,"score_spread":0.159557397524416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079537124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99881136,0.0003184085,0.00002719919,0.0004944172,0.000030327818,0.00006791036,0.000010838017,0.00000667868,0.00023283319],"genre_scores_gemma":[0.9993395,0.00031122248,0.000091314796,0.00006805309,0.000010059954,0.000007721937,0.000019525722,0.000002411915,0.00015017536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939597,0.000053980813,0.00013718306,0.0002131936,0.000056564808,0.00014313945],"domain_scores_gemma":[0.99985737,0.000030050676,0.0000326786,0.000034016193,0.0000058769147,0.00004001359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071743554,0.000095987656,0.00011890927,0.000016611668,0.00004421723,0.00002062783,0.000035296845,0.00007163371,0.000023825689],"category_scores_gemma":[0.0000055146743,0.00006413196,0.000007919393,0.000112041045,0.00008342049,0.00021456879,0.000026736629,0.0000782699,0.0000027769875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012579645,0.000017988064,0.9878383,0.0000026473447,0.000004071879,0.0000048711413,0.00057091546,0.004001631,0.0065880585,0.00043996362,0.0000111387735,0.000507798],"study_design_scores_gemma":[0.00046595684,0.000057570753,0.94819844,0.000005591682,0.000004936905,0.000063038344,0.000013845744,0.05032654,0.000011579334,0.00061976234,0.00013437838,0.0000983892],"about_ca_topic_score_codex":0.00074432883,"about_ca_topic_score_gemma":0.046501253,"teacher_disagreement_score":0.046324912,"about_ca_system_score_codex":0.000021013058,"about_ca_system_score_gemma":0.0000010079026,"threshold_uncertainty_score":0.9708976},"labels":[],"label_agreement":null},{"id":"W2084193778","doi":"10.1016/j.agrformet.2010.07.002","title":"The direct and indirect effects of inter-annual meteorological variability on ecosystem carbon dioxide exchange at a temperate ombrotrophic bog","year":2010,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; McGill University; Trent University","funders":"","keywords":"Ombrotrophic; Eddy covariance; Environmental science; Ecosystem respiration; Ecosystem; Atmospheric sciences; Vapour Pressure Deficit; Bog; Hydrology (agriculture); Climatology; Ecology; Peat; Photosynthesis; Transpiration","score_opus":0.003913173442148839,"score_gpt":0.18316108000677278,"score_spread":0.17924790656462394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084193778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964745,0.000103474464,7.1224235e-7,0.0004599165,0.00033587878,0.00039353318,0.000017874972,0.000030072262,0.0021840194],"genre_scores_gemma":[0.9993096,0.00011555243,0.000023141243,0.000081493716,0.00007744098,0.000104825165,0.000009823447,0.000006379728,0.00027172014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983051,0.00042488376,0.00027404662,0.00046908727,0.00011793224,0.00040899494],"domain_scores_gemma":[0.99847025,0.0010229539,0.00013962238,0.00021011388,0.00001570637,0.00014133663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062031904,0.00024042673,0.000440164,0.000023915654,0.0002513749,0.000014844082,0.00019675394,0.00025474632,0.00007040696],"category_scores_gemma":[0.0002700182,0.00010674033,0.000070518814,0.00011159525,0.0004602914,0.00006035616,0.0004039058,0.00028292515,0.000013046107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037777986,0.00011414269,0.8281616,0.000051096205,0.000099400044,0.000022268547,0.00040770107,0.000010807648,0.16681369,0.00036515036,0.00036877583,0.0032075886],"study_design_scores_gemma":[0.0005608833,0.0013401309,0.9909901,0.000005718494,0.000054849792,0.00012813466,0.000014467026,0.000058553975,0.004119442,0.00043625513,0.0021275172,0.00016395166],"about_ca_topic_score_codex":0.00021340165,"about_ca_topic_score_gemma":0.011302966,"teacher_disagreement_score":0.16282849,"about_ca_system_score_codex":0.000038732844,"about_ca_system_score_gemma":0.000003252563,"threshold_uncertainty_score":0.630732},"labels":[],"label_agreement":null},{"id":"W2087408384","doi":"10.1016/j.agrformet.2007.10.012","title":"How does forest harvest influence carbon dioxide fluxes of black spruce ecosystems in eastern North America?","year":2008,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Black spruce; Boreal ecosystem; Environmental science; Taiga; Ecosystem; Boreal; Ecosystem respiration; Productivity; Carbon dioxide; Soil respiration; Forest ecology; Ecology; Atmospheric sciences; Forestry; Physical geography; Geography; Biology; Primary production; Geology","score_opus":0.005375407423213567,"score_gpt":0.1660581869966753,"score_spread":0.16068277957346172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087408384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988538,0.00005113305,0.000010118332,0.00021056565,0.00006193304,0.00019318497,0.000023748518,0.000017857532,0.000577627],"genre_scores_gemma":[0.99869037,0.00014807128,0.000087394474,0.000035976645,0.000025029316,0.000014702537,0.000052599546,0.0000057907323,0.00094007386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989197,0.000064783,0.0002630857,0.00029832465,0.00015405119,0.00030003436],"domain_scores_gemma":[0.99955654,0.00005137046,0.00015138849,0.0001376345,0.00001318558,0.00008987002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050945906,0.00018511624,0.00029784118,0.00004326931,0.000053581076,0.000015402917,0.00018205986,0.000098270495,0.000008040683],"category_scores_gemma":[0.000019904388,0.00010084398,0.000048834263,0.0002361002,0.00041687794,0.00027692958,0.0001342239,0.0001338848,0.000016473095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000143447505,0.000029210149,0.9815535,0.0000105995505,0.000011479049,0.000022533426,0.00036880476,0.013653078,0.004142286,0.000050121744,0.000009681191,0.00013434107],"study_design_scores_gemma":[0.00024890347,0.00013095216,0.99289006,0.000010051195,0.000014270114,0.00008729872,0.00008217281,0.0056111626,0.00010832671,0.00010785721,0.00054133654,0.00016758248],"about_ca_topic_score_codex":0.0050246497,"about_ca_topic_score_gemma":0.07039116,"teacher_disagreement_score":0.06536651,"about_ca_system_score_codex":0.00003615313,"about_ca_system_score_gemma":0.0000042426045,"threshold_uncertainty_score":0.94657177},"labels":[],"label_agreement":null},{"id":"W2092182975","doi":"10.1016/j.agrformet.2007.07.001","title":"Incorporation of a soil water modifier into MODIS predictions of temperate Douglas-fir gross primary productivity: Initial model development","year":2007,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; BIOCAP Canada; National Aeronautics and Space Administration","keywords":"Primary production; Eddy covariance; Evergreen; Environmental science; Moderate-resolution imaging spectroradiometer; Temperate climate; Temperate rainforest; Ecosystem respiration; Atmospheric sciences; Soil water; Photosynthetically active radiation; Transpiration; Temperate forest; Ecosystem; Soil science; Photosynthesis; Ecology; Botany; Geology","score_opus":0.00832538961197679,"score_gpt":0.1941600436064438,"score_spread":0.185834653994467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092182975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99466145,0.000012855687,0.004061786,0.00010715897,0.00008336626,0.00018182617,0.000012341873,0.000015643245,0.0008635567],"genre_scores_gemma":[0.9973663,0.0000092210075,0.0021036963,0.000020637608,0.000028847182,0.000019366178,0.00018445737,0.0000041888998,0.00026329307],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999088,0.000027097987,0.0003234812,0.00021472752,0.00015526725,0.00019141285],"domain_scores_gemma":[0.9997171,0.000015170512,0.00009779756,0.00008790999,0.000028691833,0.000053297532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002652787,0.0001210564,0.0001809348,0.00004211971,0.00011567636,0.0000071614013,0.000077642486,0.00011011196,0.000012113077],"category_scores_gemma":[0.0000054936745,0.000067792156,0.00003218232,0.0001096215,0.0002131069,0.0002565903,0.00013959118,0.00009312294,0.000004985063],"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":[0.0002362133,0.00029827983,0.14221421,0.000055212782,0.000089247005,0.000003959462,0.0047016894,0.416473,0.4299747,0.0011110787,0.000045793793,0.004796628],"study_design_scores_gemma":[0.00056399324,0.00020757719,0.90540475,0.000009439446,0.00005615286,0.00006556772,0.000064010215,0.051467627,0.03748493,0.0042890506,0.00014068422,0.00024622094],"about_ca_topic_score_codex":0.00029002107,"about_ca_topic_score_gemma":0.0016578835,"teacher_disagreement_score":0.76319057,"about_ca_system_score_codex":0.00005309554,"about_ca_system_score_gemma":0.000010307814,"threshold_uncertainty_score":0.2764484},"labels":[],"label_agreement":null},{"id":"W2093674876","doi":"10.1016/j.agrformet.2005.10.001","title":"Role of low-level jets and boundary-layer properties on the NBL budget technique","year":2005,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"","keywords":"Nocturnal; Atmospheric sciences; Boundary layer; Environmental science; Planetary boundary layer; Eddy covariance; Meteorology; Atmospheric instability; Jet (fluid); Mechanics; Wind speed; Geology; Physics","score_opus":0.00837123304915469,"score_gpt":0.17669384665063032,"score_spread":0.16832261360147563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093674876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99636316,0.00021335184,0.000080394035,0.0012591325,0.000016229425,0.00025195035,0.0000027110666,0.000014141122,0.0017989441],"genre_scores_gemma":[0.99647087,0.0001280124,0.0021345667,0.0005439,0.000027303548,0.000046935504,0.000002420672,0.0000058091277,0.00064016937],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993001,0.000041178864,0.00014349035,0.00020553805,0.00011147533,0.0001981885],"domain_scores_gemma":[0.99974376,0.000033704113,0.00006054326,0.0001036833,0.0000036658496,0.000054623302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010023975,0.00014339614,0.00014396262,0.000003251011,0.00014498433,0.000011838245,0.00011969846,0.000090155525,0.00013881842],"category_scores_gemma":[0.000012538868,0.00006454436,0.00003126103,0.00005465486,0.0006192458,0.00010761033,0.00017716347,0.00011767086,0.000027332528],"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":[0.00025005886,0.00036600733,0.17611289,0.000030205323,0.000096535,0.0000042504907,0.0022708194,0.010604779,0.72111416,0.0037982874,0.0016085946,0.08374344],"study_design_scores_gemma":[0.00021407116,0.00034717686,0.98261166,0.000009987731,0.000021328273,0.000081734615,0.0004097135,0.0011384501,0.008134043,0.0013420471,0.0054998617,0.00018994781],"about_ca_topic_score_codex":0.0001344897,"about_ca_topic_score_gemma":0.00021386279,"teacher_disagreement_score":0.80649877,"about_ca_system_score_codex":0.000031618743,"about_ca_system_score_gemma":0.0000016708842,"threshold_uncertainty_score":0.26320425},"labels":[],"label_agreement":null},{"id":"W2094959945","doi":"10.1016/j.agrformet.2011.03.008","title":"Contribution of crop residue carbon to soil respiration at a northern Prairie site using stable isotope flux measurements","year":2011,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, Davis; University of Manitoba; Research Manitoba","keywords":"Environmental science; Soil respiration; Tillage; Crop residue; Soil carbon; Growing season; Soil water; Agronomy; Respiration; Eddy covariance; Soil science; Ecosystem; Ecology; Botany; Biology; Agriculture","score_opus":0.037246677356356804,"score_gpt":0.2195273729895707,"score_spread":0.1822806956332139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094959945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99857044,0.0001815392,0.0000027583856,0.00024557195,0.00010494414,0.00034919524,0.000026947799,0.00003624942,0.00048233854],"genre_scores_gemma":[0.99938154,0.0000050828794,0.00007789552,0.00012914417,0.000090503556,0.00002026173,0.00011563124,0.0000015395246,0.00017841764],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99870604,0.00011411391,0.00031688428,0.0003236835,0.00019228998,0.00034699266],"domain_scores_gemma":[0.9992273,0.00004714806,0.00017649529,0.00006392491,0.00034733635,0.00013782794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027611238,0.00018733094,0.0002860817,0.000021403715,0.00017813373,0.000016260237,0.00012219715,0.00017170489,0.000044078908],"category_scores_gemma":[0.00009769316,0.000071108014,0.00007570913,0.000297708,0.000077912395,0.00010123945,0.00012063052,0.000082856546,0.000008985678],"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":[0.00022134488,0.000038266968,0.4506177,0.0000036837196,0.000025523797,0.0000018814382,0.0001652727,0.00004695489,0.5483223,0.00010168756,0.000032468703,0.00042287222],"study_design_scores_gemma":[0.00029011475,0.00076074776,0.94251585,0.000011110466,0.000058433132,0.000025539119,0.000061255276,0.00034730558,0.055363007,0.00022044116,0.000154904,0.0001913157],"about_ca_topic_score_codex":0.009785188,"about_ca_topic_score_gemma":0.24992482,"teacher_disagreement_score":0.49295932,"about_ca_system_score_codex":0.00006769087,"about_ca_system_score_gemma":0.000008599071,"threshold_uncertainty_score":0.9968087},"labels":[],"label_agreement":null},{"id":"W2095958845","doi":"10.1016/j.agrformet.2004.09.006","title":"Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in boreal forests","year":2005,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":436,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Natural Resources Canada","funders":"","keywords":"TRAC; Zenith; Leaf area index; Remote sensing; Radiance; Environmental science; Black spruce; Pixel; Bidirectional reflectance distribution function; Sky; Canopy; Taiga; Geography; Optics; Meteorology; Physics; Computer science; Ecology","score_opus":0.017332131509912863,"score_gpt":0.2574334379233497,"score_spread":0.24010130641343685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095958845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972456,0.00011384623,0.00069857494,0.0007308066,0.00018875049,0.0004120123,0.00005398837,0.000047026308,0.0005093681],"genre_scores_gemma":[0.9558354,0.00001171748,0.043419283,0.00020435896,0.00014233515,0.000013797493,0.00029183162,0.000010360291,0.00007088936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983258,0.00011200283,0.00036376234,0.0005669051,0.00015409572,0.00047738664],"domain_scores_gemma":[0.9990619,0.00048272606,0.00015759296,0.00013632423,0.000015811369,0.00014565441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010156055,0.0002844407,0.0004286513,0.000029346445,0.000103445214,0.00005520957,0.00017415748,0.00034855088,0.000065388784],"category_scores_gemma":[0.000097629,0.00017034067,0.00011429546,0.00023444745,0.00027176982,0.00027005546,0.000089072084,0.0003000756,0.000013306187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037940696,0.00014248527,0.86090654,0.000007874124,0.00007899359,0.000008502342,0.0008474885,0.010403377,0.05234975,0.00013107018,0.0072498904,0.06749461],"study_design_scores_gemma":[0.00067116,0.00022120036,0.9850923,0.000004729736,0.000038999216,0.000094426374,0.0001816453,0.0019616352,0.0030149003,0.0028588236,0.005579687,0.00028053942],"about_ca_topic_score_codex":0.0022703165,"about_ca_topic_score_gemma":0.028994663,"teacher_disagreement_score":0.1241857,"about_ca_system_score_codex":0.00010186671,"about_ca_system_score_gemma":0.0000038789144,"threshold_uncertainty_score":0.98872364},"labels":[],"label_agreement":null},{"id":"W2096682311","doi":"10.1016/j.agrformet.2012.09.012","title":"Climate change, phenology, and phenological control of vegetation feedbacks to the climate system","year":2012,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":2228,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Northeastern States Research Cooperative","keywords":"Phenology; Biome; Climate change; Environmental science; Vegetation (pathology); Climatology; Ecology; Ecosystem; Biology","score_opus":0.009237997865285119,"score_gpt":0.19334460749434215,"score_spread":0.18410660962905703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096682311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997064,0.0004067923,0.00007328745,0.00072799175,0.00011974563,0.000270297,0.000021475022,0.000020638146,0.0012957987],"genre_scores_gemma":[0.99939275,0.00012310984,0.00015652056,0.00019433438,0.000056927034,0.000050694664,0.000013919034,0.0000026896844,0.000009061178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992433,0.000082670886,0.00015487245,0.0001406264,0.000065504544,0.00031299796],"domain_scores_gemma":[0.99971265,0.000060525097,0.00007378915,0.00007040146,0.0000070600486,0.00007557577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022175003,0.000101121695,0.00016310897,0.000014665223,0.00012287241,0.000009252099,0.00007958698,0.00010414705,0.000009911697],"category_scores_gemma":[0.000008857436,0.000046527388,0.000023357396,0.000081803875,0.0001462851,0.00012645405,0.00013452121,0.00008121323,0.000045637513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008987877,0.000052687814,0.92831147,0.000038525788,0.00003689762,0.0000019718539,0.0015621418,0.00090106047,0.0051436042,0.05338644,0.000034023404,0.010441315],"study_design_scores_gemma":[0.00024431894,0.00013873162,0.9968258,0.000006692092,0.000049969683,0.00012253353,0.00016550894,0.0019013534,0.000019764722,0.00008491149,0.0003604685,0.000079943886],"about_ca_topic_score_codex":0.000057883084,"about_ca_topic_score_gemma":0.0001913608,"teacher_disagreement_score":0.06851435,"about_ca_system_score_codex":0.000014997125,"about_ca_system_score_gemma":3.7135658e-7,"threshold_uncertainty_score":0.18973318},"labels":[],"label_agreement":null},{"id":"W2096845376","doi":"10.1016/j.agrformet.2004.10.004","title":"Models of climatic normals for genecology and climate change studies in British Columbia","year":2004,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":135,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Ministry of Forests, Lands and Natural Resource Operations","keywords":"Climate change; Baseline (sea); Climate model; Environmental science; Climatology; Environmental resource management; Ecology; Geology","score_opus":0.04890866424917382,"score_gpt":0.2564230010825878,"score_spread":0.207514336833414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096845376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771076,0.0010593787,0.000004892099,0.00035269343,0.0000737499,0.0004009405,0.00007667445,0.0000113474325,0.00030956842],"genre_scores_gemma":[0.99552524,0.0037711249,0.0002102371,0.00022340311,0.000015302398,0.00018916311,0.000037484966,0.0000035202024,0.000024520608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919164,0.000023853767,0.00022049207,0.00021000158,0.00005557983,0.0002984446],"domain_scores_gemma":[0.9997412,0.000061029372,0.00008133995,0.000048772614,0.000017014812,0.00005066864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014161256,0.00008015291,0.00027436952,0.000011368961,0.00009888435,0.000018378461,0.0000620742,0.000085236745,0.00026370992],"category_scores_gemma":[0.000027886785,0.000076572695,0.000032932545,0.000096178956,0.00035712964,0.00017797916,0.0001530203,0.00004346096,0.0000060663483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006093244,0.0002790332,0.97647125,0.00037970347,0.000069853595,0.000022897499,0.0028494792,0.0002759713,0.0031045037,0.008078285,0.0011539696,0.007254147],"study_design_scores_gemma":[0.00091863377,0.00031039427,0.9915537,0.00001639922,0.000023839006,0.00009767429,0.0018353193,0.00005286212,0.000023224884,0.0049479506,0.00011015707,0.00010984885],"about_ca_topic_score_codex":0.0038656895,"about_ca_topic_score_gemma":0.3337049,"teacher_disagreement_score":0.3298392,"about_ca_system_score_codex":0.0000753259,"about_ca_system_score_gemma":0.0000013151925,"threshold_uncertainty_score":0.67845327},"labels":[],"label_agreement":null},{"id":"W2098417246","doi":"10.1016/j.agrformet.2009.11.004","title":"Simulating gross primary production across a chronosequence of coastal Douglas-fir forest stands with a production efficiency model","year":2009,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chronosequence; Douglas fir; Primary production; Environmental science; Forestry; Production (economics); Agroforestry; Silviculture; Geography; Ecology; Ecosystem; Soil science; Biology; Soil water","score_opus":0.00637623772389132,"score_gpt":0.2005671323178979,"score_spread":0.1941908945940066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098417246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977785,0.00003596086,0.0010225478,0.00029644425,0.00008165642,0.00030385164,0.000016516195,0.000038068498,0.0004264836],"genre_scores_gemma":[0.9983861,0.000025667587,0.0011586073,0.000028472889,0.000053273336,0.000012553017,0.00006837509,0.000004775266,0.00026221617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99886227,0.000028118378,0.00023645782,0.0003863694,0.0001745411,0.00031221716],"domain_scores_gemma":[0.99961144,0.00001527623,0.00015238421,0.00013247154,0.000029921368,0.000058482303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016936338,0.00016913819,0.00020071816,0.000019674517,0.00021159039,0.000020387808,0.000102289756,0.00008524385,0.0000035031717],"category_scores_gemma":[0.000020662219,0.00009834279,0.000034245943,0.00024985144,0.00030113428,0.0003848701,0.00006792513,0.00013366477,0.0000024409617],"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":[0.00012040873,0.00008975868,0.11255478,0.0000117503605,0.00000999206,0.0000024262613,0.0007400316,0.838087,0.0458112,0.00026577414,0.000017176322,0.0022896575],"study_design_scores_gemma":[0.00038344867,0.0006833906,0.91651386,0.000020664571,0.000030116002,0.0002446519,0.000083555846,0.08017161,0.0006777799,0.00094721455,0.000025822066,0.00021787234],"about_ca_topic_score_codex":0.000121121426,"about_ca_topic_score_gemma":0.0013940186,"teacher_disagreement_score":0.8039591,"about_ca_system_score_codex":0.000058597852,"about_ca_system_score_gemma":0.0000090095555,"threshold_uncertainty_score":0.40103027},"labels":[],"label_agreement":null},{"id":"W2099722571","doi":"10.1016/j.agrformet.2009.09.003","title":"Foreword for special issue on Environmental Biophysics","year":2009,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Environmental ethics; Philosophy","score_opus":0.004156976213834343,"score_gpt":0.17799298155992802,"score_spread":0.17383600534609367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099722571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928477,0.000010202709,0.000046492358,0.0007767074,0.00013327374,0.00020192296,0.00005908602,0.000016750828,0.0059078727],"genre_scores_gemma":[0.9963522,0.000025566753,0.00041185753,0.00047212245,0.00069252815,0.0000124266935,0.00012631237,0.0000033253748,0.001903684],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993734,0.000012520522,0.000107879365,0.00021482346,0.000077962424,0.00021346333],"domain_scores_gemma":[0.9998017,0.000028329872,0.00003862771,0.00006807997,0.0000012694514,0.00006198564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036399662,0.0001227546,0.000118642405,0.000012045989,0.00011674144,0.0000107845,0.00008154326,0.000082113555,0.00017145935],"category_scores_gemma":[0.0000032507394,0.000074515054,0.000051645875,0.000045770666,0.00008042003,0.0000896181,0.00003063221,0.00007002061,0.00013553479],"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":[0.0010223351,0.0012324923,0.11929669,0.000015885102,0.00015763287,0.000041691786,0.0016888296,0.01936151,0.095465705,0.07972814,0.064237446,0.61775166],"study_design_scores_gemma":[0.0005358782,0.0010840197,0.9216268,0.0000023739826,0.00003334866,0.00004517612,0.000026351398,0.0024663487,0.00034696388,0.011729979,0.06185389,0.00024884133],"about_ca_topic_score_codex":0.0000097221155,"about_ca_topic_score_gemma":0.000043415497,"teacher_disagreement_score":0.80233014,"about_ca_system_score_codex":0.000030337435,"about_ca_system_score_gemma":6.5672134e-7,"threshold_uncertainty_score":0.30386358},"labels":[],"label_agreement":null},{"id":"W2101695352","doi":"10.1016/j.agrformet.2004.05.009","title":"Operational exposure of leaf wetness sensors","year":2004,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Leaf wetness; Dew; Environmental science; Biometeorology; Remote sensing; Hydrology (agriculture); Meteorology; Horticulture; Engineering; Geology; Geotechnical engineering; Geography; Biology","score_opus":0.012278165249570967,"score_gpt":0.20221829134777894,"score_spread":0.18994012609820798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101695352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914602,0.000104962026,0.000003577767,0.007198141,0.00009722829,0.00012586667,0.000011108626,0.000021130529,0.0009777809],"genre_scores_gemma":[0.9989239,0.00004647131,0.00017369489,0.00025776715,0.00011997365,0.000011352068,0.00008898909,4.0115847e-7,0.0003774807],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993202,0.000041343457,0.00018807512,0.00018326339,0.00011042161,0.00015667583],"domain_scores_gemma":[0.99970424,0.00005422863,0.00008964072,0.000027553668,0.0000733883,0.000050966017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010576194,0.000101621285,0.00014242031,0.000008052461,0.00012854303,0.000026440805,0.00009539616,0.00007102787,0.00012380487],"category_scores_gemma":[0.00001584674,0.000030415484,0.000046457095,0.00012660844,0.00007420536,0.00019585209,0.000058126552,0.000064118365,0.00001611218],"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":[0.0002683326,0.0005376221,0.10503614,0.000064836655,0.00025384157,0.000027898383,0.0012534471,0.0046678535,0.49961987,0.35012057,0.0011848325,0.036964726],"study_design_scores_gemma":[0.00031776226,0.0004777643,0.98451316,0.000005657692,0.000024337414,0.00004259924,0.00044585372,0.0000068535555,0.00282271,0.0038185213,0.007395755,0.00012902971],"about_ca_topic_score_codex":0.00035522386,"about_ca_topic_score_gemma":0.00057844317,"teacher_disagreement_score":0.879477,"about_ca_system_score_codex":0.000007284539,"about_ca_system_score_gemma":0.00000252625,"threshold_uncertainty_score":0.13555765},"labels":[],"label_agreement":null},{"id":"W2112081076","doi":"10.1016/j.agrformet.2012.11.023","title":"Use of change-point detection for friction–velocity threshold evaluation in eddy-covariance studies","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Queen's University; University of British Columbia; McMaster University; Environment and Climate Change Canada","funders":"Lawrence Berkeley National Laboratory; Biological and Environmental Research; Office of Science; U.S. Department of Energy","keywords":"Eddy covariance; Environmental science; Atmospheric sciences; Flux (metallurgy); Climatology; Wind speed; Mathematics; Meteorology; Statistics; Ecosystem; Geography; Physics; Geology; Ecology; Biology; Chemistry","score_opus":0.06233185941361974,"score_gpt":0.24843230628682836,"score_spread":0.18610044687320862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112081076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983567,0.00011478123,0.00038715993,0.0003339773,0.00011490806,0.0006340879,0.0000064875444,0.000009409482,0.00004250514],"genre_scores_gemma":[0.99819434,0.00011890624,0.0011519173,0.00005446198,0.000024660243,0.00037330147,0.000021705824,0.0000023160303,0.00005839975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994,0.0000379905,0.00016960865,0.00016791599,0.00008913388,0.0001353397],"domain_scores_gemma":[0.9997389,0.000065871776,0.00007793816,0.000056181456,0.000037742324,0.000023399347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018125246,0.000082286264,0.0001328809,0.00002757573,0.00006493218,0.000010487289,0.000039465514,0.0000741007,0.000026425678],"category_scores_gemma":[0.00004299239,0.000050324863,0.000028020848,0.00013054018,0.000073203206,0.0004231061,0.00004632654,0.000054515745,0.00000772525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002006445,0.0003108098,0.5468109,0.000094558076,0.00023995557,0.0000019512945,0.005420328,0.13442767,0.118370935,0.004715218,0.0009162831,0.18849075],"study_design_scores_gemma":[0.00023709434,0.00011932274,0.9113359,0.000005404691,0.000028329547,0.000010451123,0.00007115286,0.08205653,0.00033968178,0.0056026834,0.00011325682,0.00008018841],"about_ca_topic_score_codex":0.0010046338,"about_ca_topic_score_gemma":0.004609353,"teacher_disagreement_score":0.364525,"about_ca_system_score_codex":0.00005965638,"about_ca_system_score_gemma":0.0000013010352,"threshold_uncertainty_score":0.2572127},"labels":[],"label_agreement":null},{"id":"W2114344299","doi":"10.1016/j.agrformet.2010.09.005","title":"Assessing eddy-covariance flux tower location bias across the Fluxnet-Canada Research Network based on remote sensing and footprint modelling","year":2010,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; University of New Brunswick; Queen's University; McMaster University; University of Lethbridge; University of Manitoba; Université Laval; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eddy covariance; Footprint; Environmental science; FluxNet; Flux (metallurgy); Normalized Difference Vegetation Index; Enhanced vegetation index; Remote sensing; Leaf area index; Geography; Ecosystem; Vegetation Index","score_opus":0.029558807993963574,"score_gpt":0.2561429634991354,"score_spread":0.22658415550517183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114344299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98425597,0.000027170463,0.013384353,0.0013250774,0.00020601875,0.00015139919,0.0000021832648,0.0000126052655,0.0006352399],"genre_scores_gemma":[0.9935299,0.000010074256,0.0059501203,0.00020084465,0.00009741777,0.0000016231068,0.000022252558,0.0000052200844,0.00018254851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987837,0.00012442438,0.0001548933,0.00029536866,0.00022181697,0.00041976993],"domain_scores_gemma":[0.99937856,0.00029587644,0.000057910267,0.00016114372,0.00003119292,0.00007533402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080420077,0.000121285724,0.00011319646,0.0000107765245,0.00069373345,0.00013575733,0.00011256215,0.00011029095,0.000011485435],"category_scores_gemma":[0.000040697716,0.000065029235,0.000017188817,0.00023085569,0.00023602917,0.0000972264,0.00013261041,0.00045439435,0.000003715032],"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":[0.000017411689,0.0000054893567,0.00393405,0.0000029054445,0.000006475684,0.0000061423225,0.00013007963,0.9732784,0.002673522,0.00035475238,0.000121385776,0.01946938],"study_design_scores_gemma":[0.000120071265,0.000034745128,0.1136377,0.000011097693,0.000007503169,0.00005345823,0.000074145726,0.8830719,0.00006771649,0.0014456601,0.0013695598,0.000106468324],"about_ca_topic_score_codex":0.07084756,"about_ca_topic_score_gemma":0.2801507,"teacher_disagreement_score":0.20930316,"about_ca_system_score_codex":0.000046417594,"about_ca_system_score_gemma":0.000018521698,"threshold_uncertainty_score":0.93533975},"labels":[],"label_agreement":null},{"id":"W2115870118","doi":"10.1016/s0168-1923(99)00161-6","title":"Nocturnal mixing in a forest subcanopy","year":2000,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Army Research Office; National Aeronautics and Space Administration","keywords":"Canopy; Atmospheric sciences; Advection; Environmental science; Instability; Stratification (seeds); Geology; Physics; Mechanics; Ecology; Biology","score_opus":0.004100218849631949,"score_gpt":0.1729829921780157,"score_spread":0.16888277332838375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115870118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98863465,0.000058545284,0.000006097517,0.00036088977,0.000037518377,0.00008126698,0.0000037108784,0.000015351818,0.010801952],"genre_scores_gemma":[0.9979716,0.00009198827,0.00022443055,0.00014041967,0.000023787643,0.000010375187,0.000026451013,0.0000030531712,0.0015079107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931693,0.00003112453,0.00014476814,0.00018625056,0.00007507628,0.00024582059],"domain_scores_gemma":[0.99982655,0.000024524614,0.000024781142,0.000057418696,0.0000021444755,0.000064601074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007368802,0.00010243783,0.000118476324,0.00001633298,0.00006784251,0.000017419934,0.000088881556,0.00008183969,0.00060970115],"category_scores_gemma":[0.000003850286,0.00006078645,0.000028352064,0.00014184898,0.00008974951,0.00014247869,0.00004108694,0.00012334088,0.00012239508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029682386,0.000026041675,0.9741721,0.000001697785,0.0000068079667,0.000023861972,0.00019790874,0.015675744,0.0016321444,0.00078984816,0.0001529879,0.007291171],"study_design_scores_gemma":[0.00026530327,0.00006301163,0.99039125,0.000002906976,0.0000074299824,0.00020397175,0.000011557574,0.003667638,0.000014070167,0.0019663372,0.003296017,0.000110513065],"about_ca_topic_score_codex":0.0006461562,"about_ca_topic_score_gemma":0.007755523,"teacher_disagreement_score":0.01621914,"about_ca_system_score_codex":0.000029460114,"about_ca_system_score_gemma":0.00000154973,"threshold_uncertainty_score":0.66758},"labels":[],"label_agreement":null},{"id":"W2116044670","doi":"10.1016/s0168-1923(01)00274-x","title":"A comparison of digital and film fisheye photography for analysis of forest canopy structure and gap light transmission","year":2001,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":326,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Victoria","funders":"","keywords":"Remote sensing; Digital camera; Optics; Photography; Canopy; Sky; Brightness; Camera lens; Tree canopy; Environmental science; Lens (geology); Computer science; Geography; Physics; Meteorology; Archaeology","score_opus":0.010762931766820177,"score_gpt":0.23427724873717196,"score_spread":0.2235143169703518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116044670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985765,0.00029879497,0.00010205338,0.00030439504,0.000025760726,0.00027481304,0.000065747954,0.000011112875,0.00034077285],"genre_scores_gemma":[0.998811,0.0001059143,0.0008553731,0.000025055147,0.000015864787,0.0000022668912,0.00010174611,0.000004479552,0.00007831403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900615,0.00002710288,0.00029316527,0.00032130894,0.00013272247,0.00021952053],"domain_scores_gemma":[0.99949896,0.00009748669,0.00017115258,0.000093164206,0.000026733345,0.00011252279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048265254,0.00018886973,0.0004973346,0.00007164852,0.00009185052,0.000023614833,0.000087346205,0.00017008174,0.00003228295],"category_scores_gemma":[0.000017945782,0.00009965467,0.0001128834,0.0005125907,0.00028713985,0.00015148385,0.000059202448,0.000088725385,1.9365022e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009897045,0.00003866288,0.9357069,0.000022762997,0.00018733762,9.827243e-7,0.0005485066,0.00060489954,0.0583076,0.000054694807,0.00051870226,0.0039099394],"study_design_scores_gemma":[0.00034492888,0.00041758607,0.99046826,0.00000885142,0.00048623007,0.00003495199,0.00017049265,0.0024053531,0.0029366463,0.00049968757,0.0020704386,0.0001565556],"about_ca_topic_score_codex":0.00024666984,"about_ca_topic_score_gemma":0.002035348,"teacher_disagreement_score":0.055370957,"about_ca_system_score_codex":0.00000897961,"about_ca_system_score_gemma":0.0000015638205,"threshold_uncertainty_score":0.40637997},"labels":[],"label_agreement":null},{"id":"W2118460952","doi":"10.1016/s0168-1923(00)00095-2","title":"Turbulent exchange processes within and above a straw mulch.","year":2000,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Mulch; Atmospheric sciences; Environmental science; Wind speed; Turbulence; Aeolian processes; Meteorology; Hydrology (agriculture); Agronomy; Geology; Physics","score_opus":0.005033326259085483,"score_gpt":0.17495893877736568,"score_spread":0.1699256125182802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118460952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99569374,0.0002815385,0.0000037327895,0.00053795613,0.000021935024,0.00012244303,0.000010068393,0.000024875453,0.0033037202],"genre_scores_gemma":[0.9966743,0.00047249708,0.00020718748,0.00018710898,0.00002346674,0.000017123753,0.00003083105,0.0000032668302,0.0023842312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993994,0.000020876458,0.00011238146,0.00021460399,0.000075369644,0.00017731622],"domain_scores_gemma":[0.9998131,0.000022001974,0.000031414103,0.000051544266,0.0000048413153,0.0000771016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052870262,0.00011241259,0.000110398796,0.000010239785,0.00009506163,0.000025059187,0.00006047335,0.00007641131,0.00044235183],"category_scores_gemma":[0.000004594665,0.00006270548,0.000014300785,0.00009564012,0.0001357952,0.00014782832,0.000040575793,0.00007849685,0.00005159067],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000475455,0.0005939302,0.81054366,0.00031072283,0.00028532714,0.00025881868,0.018021552,0.02488637,0.018673798,0.00603846,0.0051959427,0.114715956],"study_design_scores_gemma":[0.00053393043,0.00032602824,0.9805924,0.0000109393195,0.00005432668,0.0008665088,0.0000872144,0.002639066,0.00014336922,0.0027336925,0.011682517,0.00032999818],"about_ca_topic_score_codex":0.00025582936,"about_ca_topic_score_gemma":0.0014638591,"teacher_disagreement_score":0.17004874,"about_ca_system_score_codex":0.000011017266,"about_ca_system_score_gemma":0.0000018571205,"threshold_uncertainty_score":0.4843442},"labels":[],"label_agreement":null},{"id":"W2125671166","doi":"10.1016/s0168-1923(01)00294-5","title":"Measuring forest floor CO2 fluxes in a Douglas-fir forest","year":2002,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":220,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Eddy covariance; Forest floor; Environmental science; Atmospheric sciences; Flux (metallurgy); Gas analyzer; Hydrology (agriculture); Water content; Daytime; Soil respiration; Soil water; Soil science; Ecology; Ecosystem; Geology; Chemistry","score_opus":0.012934190555344281,"score_gpt":0.168915135284511,"score_spread":0.1559809447291667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125671166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99279857,0.00021610768,0.000023535698,0.00044796825,0.0001447107,0.00019416177,0.000008541311,0.000039381954,0.0061270148],"genre_scores_gemma":[0.9982666,0.00014268635,0.00024107053,0.00010395926,0.00005022095,0.000040329516,0.00003662937,0.0000075021117,0.0011110024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880725,0.00004884804,0.0002481846,0.00033000042,0.00015163556,0.0004140836],"domain_scores_gemma":[0.9996476,0.00004652705,0.00006340114,0.00012566165,0.0000073268384,0.00010948202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011426802,0.0001963262,0.00022324221,0.000047715646,0.00012976969,0.000034644847,0.00017357907,0.00014771032,0.00026508272],"category_scores_gemma":[0.000021990767,0.00012188917,0.00005726873,0.00022994124,0.00016235563,0.00025108468,0.0001558386,0.00018844893,0.00022685112],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015841555,0.00006838156,0.97449446,0.00000601809,0.00001560776,0.00003046599,0.00027430247,0.021085434,0.0013484936,0.0008351421,0.00049425504,0.0013316193],"study_design_scores_gemma":[0.0004954122,0.00011328426,0.9671212,0.000008750457,0.000019249204,0.00017995633,0.000030896717,0.027944272,0.000016727807,0.0013922395,0.0024671885,0.00021084459],"about_ca_topic_score_codex":0.0008080855,"about_ca_topic_score_gemma":0.02248239,"teacher_disagreement_score":0.021674305,"about_ca_system_score_codex":0.000056647077,"about_ca_system_score_gemma":0.0000013188795,"threshold_uncertainty_score":0.9953548},"labels":[],"label_agreement":null},{"id":"W2127347356","doi":"10.1016/s0168-1923(00)00238-0","title":"Micro-meteorological methods for estimating surface exchange with a disturbed windflow","year":2001,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Advection; Flux (metallurgy); Wind speed; Environmental science; Meteorology; Flow (mathematics); Atmospheric instability; Stability (learning theory); Mass flux; Atmospheric sciences; TRACER; Mechanics; Climatology; Geology; Physics; Thermodynamics; Materials science","score_opus":0.01497765819473654,"score_gpt":0.2593183274081578,"score_spread":0.24434066921342126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127347356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98904496,0.00036548296,0.007259491,0.0016747655,0.00012662429,0.00037843283,0.0000066061243,0.00006129252,0.0010823315],"genre_scores_gemma":[0.7137482,0.00004416806,0.28472182,0.00036114067,0.00012921377,0.00007533004,0.00002128725,0.000009328149,0.00088953297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987059,0.00010373301,0.00018392385,0.000440203,0.0000858946,0.00048034627],"domain_scores_gemma":[0.99939877,0.00028930986,0.00008130326,0.000103394574,0.000014911758,0.000112325055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027625146,0.00024183819,0.00033687742,0.000011617685,0.0003384804,0.000027849515,0.0001477706,0.00006703099,0.00014414745],"category_scores_gemma":[0.00006515153,0.000118134485,0.00006996216,0.00017715403,0.00034225872,0.00014516519,0.00018450255,0.00011881118,0.000022281743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007687288,0.00036567473,0.655794,0.00008667596,0.0003431797,0.00009890862,0.0020140058,0.004411184,0.11303433,0.00065207866,0.009865274,0.21256594],"study_design_scores_gemma":[0.0016183949,0.0015449552,0.9560836,0.000014339082,0.00014767228,0.00079293805,0.0003357698,0.003665414,0.00093043665,0.0019008549,0.032372616,0.0005930151],"about_ca_topic_score_codex":0.0001188331,"about_ca_topic_score_gemma":0.00027759635,"teacher_disagreement_score":0.30028957,"about_ca_system_score_codex":0.000025952979,"about_ca_system_score_gemma":0.000001987986,"threshold_uncertainty_score":0.48173845},"labels":[],"label_agreement":null},{"id":"W2129531078","doi":"10.1016/j.agrformet.2011.09.010","title":"On the temporal upscaling of evapotranspiration from instantaneous remote sensing measurements to 8-day mean daily-sums","year":2011,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":163,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; Queen's University; University of British Columbia","funders":"National Aeronautics and Space Administration; Natural Resources Canada; University of California Berkeley; Natural Sciences and Engineering Research Council of Canada; University of Virginia; Oak Ridge National Laboratory; Biological and Environmental Research; Canadian Foundation for Climate and Atmospheric Sciences; Environment Canada; Office of Science; Università degli Studi della Tuscia; U.S. Department of Energy; National Science Foundation","keywords":"Evapotranspiration; Eddy covariance; Environmental science; Atmospheric sciences; Meteorology; Geography; Geology; Ecosystem","score_opus":0.02592473149999822,"score_gpt":0.19095849133042758,"score_spread":0.16503375983042937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129531078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995523,0.0000114551685,0.0009518604,0.00016928725,0.00008340891,0.00016787823,0.000013918643,0.000013507355,0.0030656888],"genre_scores_gemma":[0.9981005,0.000006326527,0.0015974102,0.000197974,0.000014509681,7.5901784e-7,0.000029965371,0.000004008779,0.000048513608],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99921715,0.000089956004,0.00018553712,0.00019557476,0.00015858929,0.00015320725],"domain_scores_gemma":[0.99968874,0.00006642987,0.00007008768,0.000108115484,0.000011009159,0.000055585475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018593021,0.00011116866,0.00012557663,0.000016296706,0.0001050791,0.00000947034,0.000100189216,0.00006865065,0.000070805465],"category_scores_gemma":[0.000020768663,0.000056107583,0.000034015164,0.00010236178,0.00007521106,0.00006213228,0.00004447881,0.00008381368,0.000028394712],"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":[0.00083670934,0.00022507714,0.2557939,0.000021821885,0.00039224353,0.00008734616,0.028348994,0.036965556,0.59679943,0.0051710326,0.00043560064,0.07492228],"study_design_scores_gemma":[0.00062394666,0.00078280707,0.94898885,0.000060548682,0.00014944107,0.000087664266,0.00023359724,0.021858295,0.010019161,0.016382584,0.00032869217,0.00048441868],"about_ca_topic_score_codex":0.0028496669,"about_ca_topic_score_gemma":0.008325402,"teacher_disagreement_score":0.6931949,"about_ca_system_score_codex":0.000026233094,"about_ca_system_score_gemma":0.0000020675852,"threshold_uncertainty_score":0.464577},"labels":[],"label_agreement":null},{"id":"W2131659791","doi":"10.1016/s0168-1923(00)00140-4","title":"Measurements of CO2 and energy fluxes over a mixed hardwood forest in the mid-western United States","year":2000,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":463,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Manitoba Medical Service Foundation; U.S. Department of Energy","keywords":"Eddy covariance; Environmental science; Fetch; Atmospheric sciences; Photosynthetically active radiation; Canopy; Beech; Leaf area index; Growing season; Hydrology (agriculture); Flux (metallurgy); Geography; Ecosystem; Forestry; Geology; Ecology","score_opus":0.00934198699531867,"score_gpt":0.18508659882761339,"score_spread":0.17574461183229473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131659791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988875,0.00010244211,0.000002492498,0.00020106295,0.000020305362,0.00006426212,0.0000150914,0.000006361642,0.0007005031],"genre_scores_gemma":[0.99904895,0.00023430165,0.000034237088,0.00018433007,0.0000075232156,0.000012791396,0.00014258291,0.0000027217973,0.00033257125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992798,0.0000897176,0.00016004396,0.00015487081,0.00012211197,0.00019348346],"domain_scores_gemma":[0.9997962,0.000047805876,0.000037696544,0.00007154677,0.0000053851422,0.000041363597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104160645,0.000107134896,0.00013206978,0.000026846594,0.00005560507,0.000016662894,0.00009663991,0.00006437904,0.00006462511],"category_scores_gemma":[0.000004407831,0.000053004485,0.000021714082,0.00016086892,0.00015444802,0.000098960045,0.000043277476,0.0000601599,0.000004038857],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030992713,0.000045606233,0.98825103,0.0000032575626,0.000018043213,0.0000032321886,0.00049850525,0.008166529,0.0012730128,0.0000971474,0.00008610683,0.0015265532],"study_design_scores_gemma":[0.00040757286,0.00012135454,0.99491435,0.0000047488966,0.00002264208,0.000040815245,0.000046991412,0.001824666,0.00008691989,0.0004788753,0.0019653484,0.00008570786],"about_ca_topic_score_codex":0.003626609,"about_ca_topic_score_gemma":0.0217838,"teacher_disagreement_score":0.018157193,"about_ca_system_score_codex":0.000012373591,"about_ca_system_score_gemma":0.0000012488724,"threshold_uncertainty_score":0.9960661},"labels":[],"label_agreement":null},{"id":"W2133667986","doi":"10.1016/j.agrformet.2007.02.006","title":"Determining ammonia emissions from a cattle feedlot with an inverse dispersion technique","year":2007,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":196,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Feedlot; Environmental science; Atmospheric dispersion modeling; Wind speed; Dispersion (optics); Atmospheric sciences; Inverse; Meteorology; Wind direction; Deposition (geology); Range (aeronautics); Air pollution; Animal science; Mathematics; Chemistry; Materials science; Physics; Geology","score_opus":0.010010170023997969,"score_gpt":0.21981856044247722,"score_spread":0.20980839041847926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133667986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955111,0.00009116569,0.003100765,0.00030229727,0.000052620613,0.0001410455,0.0000078278335,0.00035305164,0.000440127],"genre_scores_gemma":[0.99001443,0.000018884633,0.009543127,0.000059847633,0.000086401196,0.00002498654,0.00004395285,0.00001205202,0.00019633393],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990424,0.000015051347,0.0001878323,0.00030848756,0.00009377155,0.00035247343],"domain_scores_gemma":[0.9994113,0.00013451675,0.0000579977,0.0001697826,0.00003714691,0.00018925566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009905575,0.00019867187,0.00024052705,0.000058161826,0.00013388162,0.00001711866,0.00016913768,0.00026923112,0.00003345713],"category_scores_gemma":[0.00008011969,0.000104860046,0.000041125815,0.00014691967,0.00010985413,0.00015451922,0.000095777985,0.0002777848,0.000007482068],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018020121,0.000053674237,0.023824058,0.000011011918,0.000043460615,0.000028390086,0.0002798914,0.00015486681,0.96060246,0.0004967046,0.00024460853,0.014080646],"study_design_scores_gemma":[0.0021249636,0.0013171496,0.7422319,0.00012222325,0.00017152732,0.00035692146,0.0027214962,0.0020478056,0.24331228,0.0014708774,0.0031795404,0.00094329525],"about_ca_topic_score_codex":0.00030299206,"about_ca_topic_score_gemma":0.00075224094,"teacher_disagreement_score":0.71840787,"about_ca_system_score_codex":0.0000246794,"about_ca_system_score_gemma":0.000005993869,"threshold_uncertainty_score":0.42760685},"labels":[],"label_agreement":null},{"id":"W2134872513","doi":"10.1016/j.agrformet.2005.04.002","title":"Interacting effects of temperature, soil moisture and plant biomass production on ecosystem respiration in a northern temperate grassland","year":2005,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":372,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada; University of Lethbridge","keywords":"Environmental science; Eddy covariance; Growing season; Ecosystem respiration; Soil respiration; Q10; Biomass (ecology); Water content; Ecosystem; Grassland; Respiration; Agronomy; Primary production; Moisture; Atmospheric sciences; Soil water; Soil science; Ecology; Botany; Chemistry; Biology","score_opus":0.003475004281199365,"score_gpt":0.17343173044641338,"score_spread":0.169956726165214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134872513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991485,0.00006411327,0.0000010228558,0.00034447253,0.0000965291,0.00020176629,0.0000075116623,0.000010811311,0.00012528723],"genre_scores_gemma":[0.99972737,0.000034079487,0.000035548757,0.000020694732,0.00004646854,0.000016783264,0.00004304349,0.000003308343,0.00007273011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934226,0.00006881957,0.00017218811,0.00021941657,0.000072088755,0.00012520925],"domain_scores_gemma":[0.99977684,0.0000462937,0.000081756836,0.000056229223,0.0000071365757,0.000031759097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010639005,0.000109548615,0.00014239275,0.00003979051,0.000061006744,0.000016096863,0.0000380996,0.00009290369,0.0000015908787],"category_scores_gemma":[0.000024691604,0.00006265753,0.000016605343,0.00010528289,0.000034084645,0.00015219486,0.000033920925,0.000114607654,0.0000044757303],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074141746,0.000051082934,0.7913542,0.0000378347,0.000015260182,0.0000057539496,0.0004084184,0.008818397,0.19800273,0.00009169494,0.00003986898,0.0011006191],"study_design_scores_gemma":[0.00034035076,0.00022054513,0.9907804,0.000044300752,0.0000146768625,0.00011861022,0.000027157164,0.0015629124,0.0065519684,0.000069657144,0.00015884926,0.000110552355],"about_ca_topic_score_codex":0.00035073498,"about_ca_topic_score_gemma":0.08052957,"teacher_disagreement_score":0.19942622,"about_ca_system_score_codex":0.000036827492,"about_ca_system_score_gemma":0.0000016431605,"threshold_uncertainty_score":0.93624836},"labels":[],"label_agreement":null},{"id":"W2135559420","doi":"10.1016/j.agrformet.2006.02.014","title":"The effect of post-fire stand age on the boreal forest energy balance","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":220,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Queen's University; University of British Columbia; Canadian Forest Service","funders":"Canadian Forest Service; Canadian Foundation for Climate and Atmospheric Sciences; U.S. Department of Energy; National Science Foundation","keywords":"Environmental science; Chronosequence; Taiga; Albedo (alchemy); Deciduous; Evapotranspiration; Atmospheric sciences; Vegetation (pathology); Ecology; Forestry; Geography; Soil water; Geology; Biology","score_opus":0.002124374445216027,"score_gpt":0.16352668558372707,"score_spread":0.16140231113851106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135559420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99074876,0.00034880723,0.0000033876722,0.0010860774,0.0001571681,0.00027589028,0.000011596783,0.000021429738,0.0073468573],"genre_scores_gemma":[0.99898905,0.000038966402,0.0000058994524,0.00009425389,0.000092244736,0.00006382608,0.000022172142,0.000007129158,0.00068649143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986706,0.00035334163,0.00020577607,0.00024254149,0.00019556063,0.00033222197],"domain_scores_gemma":[0.9983225,0.0012853139,0.00012693994,0.00020979375,0.000009321685,0.000046147372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042984795,0.00019155577,0.00022825596,0.000008148865,0.00027656884,0.000029680012,0.00027533094,0.000094544936,0.000019270083],"category_scores_gemma":[0.000079923535,0.00006690704,0.00007662078,0.00013528971,0.00039977412,0.000072162096,0.00011225388,0.000116083575,0.000026545657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008463931,0.000087686305,0.8845015,0.000049877723,0.00010647362,0.00005804376,0.00015090892,0.0009248624,0.027030133,0.024423886,0.03949209,0.022328146],"study_design_scores_gemma":[0.000314847,0.0013428187,0.9883376,0.000008859094,0.000020488833,0.00004199102,0.000014502111,0.00046164254,0.0013976879,0.00044870164,0.007502896,0.00010799392],"about_ca_topic_score_codex":0.007105815,"about_ca_topic_score_gemma":0.01659778,"teacher_disagreement_score":0.103836074,"about_ca_system_score_codex":0.000035113208,"about_ca_system_score_gemma":0.0000020286989,"threshold_uncertainty_score":0.99950594},"labels":[],"label_agreement":null},{"id":"W2137825246","doi":"10.1016/j.agrformet.2004.11.006","title":"Objective threshold determination for nighttime eddy flux filtering","year":2005,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":278,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Flux (metallurgy); Eddy covariance; Environmental science; Filter (signal processing); Footprint; Meteorology; Daytime; Atmospheric sciences; Statistics; Computer science; Mathematics; Physics; Ecosystem; Materials science; Geology","score_opus":0.006017131199990416,"score_gpt":0.1960671803833622,"score_spread":0.1900500491833718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137825246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99531287,0.000029552899,0.00073239073,0.00038700062,0.000062383115,0.00019697857,0.0000135589025,0.000026468857,0.0032388037],"genre_scores_gemma":[0.9939261,0.000010202841,0.0036080529,0.000109265624,0.00007144878,0.000048596172,0.000075528165,0.0000038920657,0.0021468918],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994352,0.000012440182,0.00011463963,0.00019138127,0.000059352802,0.00018702721],"domain_scores_gemma":[0.9998099,0.000040140687,0.000041224102,0.000054725217,0.000007374027,0.00004662022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006673712,0.0000980229,0.00010103961,0.000016535652,0.00012067188,0.00001860786,0.000071792994,0.00007772412,0.00009611696],"category_scores_gemma":[0.0000074392256,0.000060223065,0.000037772603,0.000055642522,0.000060132177,0.00021334484,0.000062998406,0.000057675337,0.000050955932],"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":[0.0003444852,0.00041234583,0.27628118,0.00005116974,0.00020239083,0.000021386306,0.0046756878,0.1221485,0.35899955,0.020430466,0.0072562234,0.20917661],"study_design_scores_gemma":[0.00088160316,0.00043773517,0.8607301,0.0000072075686,0.000075518175,0.00024487218,0.000055563607,0.114449084,0.0031559095,0.005095672,0.014425914,0.0004407916],"about_ca_topic_score_codex":0.000028656166,"about_ca_topic_score_gemma":0.0006206785,"teacher_disagreement_score":0.58444893,"about_ca_system_score_codex":0.000040054445,"about_ca_system_score_gemma":0.0000011976878,"threshold_uncertainty_score":0.24558254},"labels":[],"label_agreement":null},{"id":"W2143027326","doi":"10.1016/j.agrformet.2014.02.008","title":"Mechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and Cerrado","year":2014,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":143,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Aeronautics and Space Administration","keywords":"Evapotranspiration; Environmental science; Eddy covariance; Ecohydrology; Seasonality; Vegetation (pathology); Dry season; Water use; Hydrology (agriculture); Canopy conductance; Precipitation; Water cycle; Ecosystem; Transpiration; Ecology; Atmospheric sciences; Vapour Pressure Deficit; Geography; Biology; Geology; Photosynthesis","score_opus":0.003538038780865585,"score_gpt":0.16608725013802872,"score_spread":0.16254921135716313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143027326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990764,0.000078049816,0.00017883226,0.00040981904,0.000013126939,0.000106688545,0.000005902284,0.0000022735505,0.00012890018],"genre_scores_gemma":[0.99962354,0.00008330349,0.00021106609,0.000035920923,0.0000032962596,0.0000047484377,0.000016358466,0.0000014529583,0.000020330952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954075,0.00006451568,0.00012313052,0.00012018867,0.00006571316,0.00008569041],"domain_scores_gemma":[0.9998554,0.00003753971,0.000040915147,0.0000357618,0.0000057240673,0.000024647428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019387441,0.00006537211,0.000107810534,0.0000076275733,0.000040294864,0.000007940782,0.000029164064,0.00005379069,0.0000057958505],"category_scores_gemma":[0.0000056345207,0.000030450861,0.000009335576,0.000031193642,0.00015662637,0.00009615438,0.000041247677,0.000046324723,4.4467757e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038265156,0.000021721686,0.8386823,0.00004295181,0.000013883792,5.3554294e-7,0.0010938664,0.00091036945,0.14822783,0.007381042,0.0000023984433,0.0035848527],"study_design_scores_gemma":[0.00028488514,0.00011817454,0.98270977,0.0000051280877,0.00002644373,0.000022466167,0.00001950212,0.00566425,0.0013557904,0.009707619,0.000036787253,0.00004917599],"about_ca_topic_score_codex":0.00026800932,"about_ca_topic_score_gemma":0.0027231167,"teacher_disagreement_score":0.14687203,"about_ca_system_score_codex":0.0000048825423,"about_ca_system_score_gemma":5.9969125e-7,"threshold_uncertainty_score":0.1519563},"labels":[],"label_agreement":null},{"id":"W2143895821","doi":"10.1016/j.agrformet.2014.06.013","title":"Data-driven diagnostics of terrestrial carbon dynamics over North America","year":2014,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Manitoba; Centre de Géomatique du Québec; McMaster University; University of Toronto","funders":"Oak Ridge National Laboratory; Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; Université Laval; Università degli Studi della Tuscia; National Aeronautics and Space Administration; BIOCAP Canada; National Science Foundation","keywords":"Eddy covariance; Ecosystem respiration; Environmental science; Primary production; Carbon sink; Ecosystem; Terrestrial ecosystem; Atmospheric sciences; Biosphere; FluxNet; Carbon cycle; Sink (geography); Climatology; Ecology; Geography; Biology","score_opus":0.007091357453673649,"score_gpt":0.19092211268826062,"score_spread":0.18383075523458697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143895821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976428,0.000018864304,0.00011358799,0.000112190864,0.00014399338,0.00008833916,0.00015249412,0.000015775226,0.0017119162],"genre_scores_gemma":[0.9984258,0.000120735385,0.00036899254,0.000042473566,0.0000574626,0.0000043635378,0.0009093832,0.0000042221654,0.00006657387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992163,0.00005354913,0.00018997637,0.00024153387,0.0001137098,0.00018489062],"domain_scores_gemma":[0.99945354,0.00015619927,0.00010745571,0.00021162223,0.000004310438,0.00006685677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005389993,0.00011695174,0.0001908479,0.000016770218,0.0000453804,0.0000097251395,0.00024136587,0.0000763143,0.000025503206],"category_scores_gemma":[0.00006304743,0.000071522016,0.000025945366,0.00011446669,0.0002069038,0.00009464812,0.00031853194,0.00009839941,0.0000093260205],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028116212,0.000052825933,0.97527665,0.0000046026153,0.00003302046,0.000003636316,0.0001033154,0.015362688,0.00029054662,0.0005489449,0.0004476605,0.007847979],"study_design_scores_gemma":[0.00024715756,0.00013196871,0.78567404,0.0000021444162,0.000051072795,0.00001581513,0.000010054332,0.21030436,0.0000025661436,0.0002765786,0.0031690474,0.000115192626],"about_ca_topic_score_codex":0.0006996676,"about_ca_topic_score_gemma":0.012059619,"teacher_disagreement_score":0.19494168,"about_ca_system_score_codex":0.000021114169,"about_ca_system_score_gemma":0.0000022204604,"threshold_uncertainty_score":0.67295504},"labels":[],"label_agreement":null},{"id":"W2144593816","doi":"10.1016/j.agrformet.2015.09.003","title":"Upscaling of methane exchange in a boreal forest using soil chamber measurements and high-resolution LiDAR elevation data","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Vetenskapsrådet; Natural Environment Research Council; Sight Research UK","keywords":"Environmental science; Soil water; Sink (geography); Hydrology (agriculture); Water content; Elevation (ballistics); Water table; Boreal; Soil science; Lidar; Atmospheric sciences; Methane; Remote sensing; Geology; Ecology","score_opus":0.04644542924138293,"score_gpt":0.2390814282783353,"score_spread":0.1926359990369524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144593816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980749,0.00028157549,0.001076411,0.00010633093,0.00006583875,0.00016576852,0.000006082813,0.00000907162,0.00021404996],"genre_scores_gemma":[0.9931237,0.00009401107,0.0065541496,0.000045625293,0.00003351554,0.000006619595,0.00009235466,0.0000066174885,0.000043419157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893,0.00007755289,0.00022970597,0.00031575927,0.00020417334,0.00024282189],"domain_scores_gemma":[0.99959975,0.000021772556,0.00011960194,0.0001492998,0.0000074889667,0.00010209469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038784457,0.000143056,0.0002081087,0.0000108289805,0.000038554004,0.000007675899,0.00010812303,0.00011206281,0.000013741093],"category_scores_gemma":[0.000034373206,0.00009846083,0.000014605486,0.0001415013,0.00021604463,0.00033483136,0.00040843253,0.000086673936,0.0000030120862],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007532658,0.000061956904,0.9586521,0.000013133742,0.00001943415,0.000003913512,0.00037881368,0.032254867,0.0043067066,0.00006544822,0.000044439414,0.004123874],"study_design_scores_gemma":[0.0006812785,0.00013970622,0.9574423,0.0000084765725,0.000038777864,0.000041881354,0.00019177057,0.040688064,0.00006205076,0.00047137646,0.000104215804,0.00013010458],"about_ca_topic_score_codex":0.009523733,"about_ca_topic_score_gemma":0.007039418,"teacher_disagreement_score":0.008433197,"about_ca_system_score_codex":0.00009520871,"about_ca_system_score_gemma":0.0000043243595,"threshold_uncertainty_score":0.9970719},"labels":[],"label_agreement":null},{"id":"W2149550872","doi":"10.1016/j.agrformet.2014.01.016","title":"Continuous observation of leaf area index at Fluxnet-Canada sites","year":2014,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"FluxNet; Leaf area index; Environmental science; Remote sensing; Atmospheric sciences; Vegetation (pathology); Meteorology; Eddy covariance; Ecosystem; Geography; Ecology; Geology","score_opus":0.006836708164482491,"score_gpt":0.1662140637165084,"score_spread":0.15937735555202592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149550872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950505,0.00004354668,0.000021366213,0.00075369584,0.0001232123,0.00012494097,0.000003529795,0.000019943973,0.0038592946],"genre_scores_gemma":[0.9973159,0.000011093595,0.0004079865,0.00032894884,0.000052643976,0.0000015880554,0.00006124603,0.0000043121436,0.0018162694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999015,0.000069372916,0.00021534304,0.00026485694,0.00019324696,0.00024221855],"domain_scores_gemma":[0.9995055,0.00011542329,0.00014815349,0.00012359272,0.00002462382,0.00008267092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009360987,0.00015724343,0.00024211445,0.000009384713,0.00010585856,0.000009569191,0.00012724135,0.00012145017,0.00012633434],"category_scores_gemma":[0.00007384787,0.000085355816,0.000037896996,0.00014530693,0.00017340413,0.0000947713,0.00014630433,0.00009562674,0.000019904513],"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":[0.000022103368,0.000016411823,0.89117867,0.000007465923,0.000017636168,0.0000023321531,0.0001039917,0.0013670872,0.08397645,0.0001996816,0.020734038,0.002374157],"study_design_scores_gemma":[0.00021687143,0.00011422914,0.9875068,0.000004165529,0.000018314418,0.00006163321,0.000042643635,0.0007767527,0.001915326,0.00026526625,0.008939009,0.00013899984],"about_ca_topic_score_codex":0.056624163,"about_ca_topic_score_gemma":0.5134001,"teacher_disagreement_score":0.4567759,"about_ca_system_score_codex":0.00007578242,"about_ca_system_score_gemma":0.0000041394164,"threshold_uncertainty_score":0.94965786},"labels":[],"label_agreement":null},{"id":"W2151469508","doi":"10.1016/j.agrformet.2006.03.012","title":"The development of 1901–2000 historical monthly climate models for Canada and the United States","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate variability and models","field":"Environmental Science","cited_by":199,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service; Natural Resources Canada","funders":"U.S. Geological Survey","keywords":"Precipitation; Environmental science; Climate change; Magnitude (astronomy); Climatology; Climate model; Smoothing; Elevation (ballistics); Meteorology; Variable (mathematics); Geography; Statistics; Mathematics; Geology","score_opus":0.00930947178503656,"score_gpt":0.17969687487081626,"score_spread":0.1703874030857797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151469508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99696195,0.00020023667,0.00009800942,0.0018972841,0.000061784296,0.00026150403,0.000026101252,0.000006791154,0.0004863598],"genre_scores_gemma":[0.9989021,0.00009075049,0.0005866276,0.000107461456,0.000018052951,0.00005947785,0.00007103162,0.00000290475,0.00016162693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991791,0.000052922413,0.00025859536,0.00016034153,0.00010042764,0.000248603],"domain_scores_gemma":[0.999343,0.00044425006,0.00007918537,0.00007764349,0.000016305377,0.000039621624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032469074,0.00010123071,0.00015475876,0.0000069032235,0.0003798956,0.000012464115,0.000107637425,0.000044455985,0.000004759692],"category_scores_gemma":[0.000016193044,0.00004043148,0.000025070427,0.00007747483,0.000255104,0.000053007196,0.000110673114,0.0000541642,3.7345868e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031873987,0.00042520143,0.11031114,0.0002138052,0.00031470836,0.0000052859514,0.0129268505,0.6738517,0.0031251065,0.14942372,0.029491989,0.016723085],"study_design_scores_gemma":[0.0027228058,0.00020528703,0.70850134,0.0000085194215,0.00012762706,0.000021379323,0.00070171844,0.120106876,0.00019085704,0.074404225,0.09257038,0.00043900916],"about_ca_topic_score_codex":0.4130283,"about_ca_topic_score_gemma":0.8345579,"teacher_disagreement_score":0.5981902,"about_ca_system_score_codex":0.00015128063,"about_ca_system_score_gemma":0.000016986556,"threshold_uncertainty_score":0.5908804},"labels":[],"label_agreement":null},{"id":"W2158728649","doi":"10.1016/s0168-1923(02)00171-5","title":"Annual and seasonal variability of sensible and latent heat fluxes above a coastal Douglas-fir forest, British Columbia, Canada","year":2003,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of British Columbia; University of Victoria; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensible heat; Eddy covariance; Bowen ratio; Latent heat; Environmental science; Canopy; Biometeorology; Atmospheric sciences; Transpiration; Vapour Pressure Deficit; Tree canopy; Climatology; Meteorology; Geography; Ecology; Geology; Ecosystem","score_opus":0.00246973355377671,"score_gpt":0.14787774831485728,"score_spread":0.14540801476108056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158728649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986397,0.00011541551,0.000009109587,0.00008889185,0.00007683125,0.00014790795,0.00040153018,0.000007777163,0.0005128167],"genre_scores_gemma":[0.99901676,0.000068287925,0.00024218136,0.00006095551,0.000011792149,0.000006667392,0.000051468378,0.0000033664633,0.0005384967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912953,0.000079951365,0.0001703325,0.00026745282,0.00012155057,0.00023118993],"domain_scores_gemma":[0.99967027,0.00007990317,0.000041075637,0.0000634272,0.000017840726,0.0001274657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014119048,0.00010146568,0.00020367812,0.000005732683,0.0001238088,0.000031956828,0.000042040487,0.00008733847,0.000055087687],"category_scores_gemma":[0.000025485728,0.00008993937,0.000021560734,0.00007978278,0.0002679891,0.00011857851,0.000096958815,0.00009428644,5.3998673e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000080445825,0.000021923406,0.9979022,0.000009254963,0.000018983956,0.000013490045,0.00004758695,0.00043262768,0.00046493713,0.00017265088,0.0006241223,0.00028416858],"study_design_scores_gemma":[0.00034390172,0.00011455005,0.9951898,0.0000049001337,0.000029383616,0.00071452576,0.000048801176,0.0012171434,0.000008441984,0.0010535159,0.0011471098,0.00012794783],"about_ca_topic_score_codex":0.7034663,"about_ca_topic_score_gemma":0.98360425,"teacher_disagreement_score":0.28013796,"about_ca_system_score_codex":0.000027526725,"about_ca_system_score_gemma":0.000018295003,"threshold_uncertainty_score":0.36676213},"labels":[],"label_agreement":null},{"id":"W2159944086","doi":"10.1016/j.agrformet.2011.12.003","title":"Projections of climate change impacts on potential C4 crop productivity over tropical regions","year":2012,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":130,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Climate change; Food security; Temperate climate; Climate model; Environmental science; Climatology; Subtropics; Population; Productivity; Tropics; Vegetation (pathology); Geography; Agriculture; Ecology; Economics","score_opus":0.03860472733722354,"score_gpt":0.25638240351625163,"score_spread":0.2177776761790281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159944086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99314404,0.00039219664,4.3667723e-7,0.004617177,0.0004004632,0.00060183275,0.00013749738,0.00008861335,0.00061772077],"genre_scores_gemma":[0.9972205,0.00055956555,0.000028174212,0.0002619517,0.0016177952,0.00008013857,0.00013861989,0.0000021072385,0.00009113005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816066,0.00015372042,0.00028889926,0.00037392974,0.0002220485,0.0008007123],"domain_scores_gemma":[0.99916327,0.0001262739,0.00021395476,0.00008851526,0.0001052526,0.00030273254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015762214,0.00030335662,0.00039328658,0.00003010717,0.00030365662,0.000036600806,0.00015733857,0.00026544865,0.00016648676],"category_scores_gemma":[0.00010087301,0.00009177024,0.00016447384,0.00043699934,0.0001798907,0.00046472426,0.00014093077,0.00026275933,0.000028968494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006104503,0.0019632024,0.51706564,0.00010623717,0.00015918193,0.000012727066,0.0014805995,0.0000071622903,0.43837205,0.012945703,0.0043776436,0.022899365],"study_design_scores_gemma":[0.00024684024,0.0009413496,0.99456954,0.00002289159,0.00006651035,0.00016796455,0.00027339262,0.0000034873892,0.0012055645,0.00013982218,0.0021184003,0.00024421967],"about_ca_topic_score_codex":0.0003733494,"about_ca_topic_score_gemma":0.0015256214,"teacher_disagreement_score":0.4775039,"about_ca_system_score_codex":0.000035046563,"about_ca_system_score_gemma":0.0000028165355,"threshold_uncertainty_score":0.3742282},"labels":[],"label_agreement":null},{"id":"W2160278558","doi":"10.1016/j.agrformet.2006.10.010","title":"Comparing simple respiration models for eddy flux and dynamic chamber data","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":146,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; U.S. Department of Energy","keywords":"Eddy covariance; Akaike information criterion; Environmental science; Biometeorology; Ecosystem respiration; Model selection; Soil respiration; Atmospheric sciences; Ecosystem model; Mathematics; Statistics; Ecosystem; Canopy; Ecology; Soil science; Physics; Soil water","score_opus":0.019723991993414645,"score_gpt":0.218443674575248,"score_spread":0.19871968258183334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160278558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952623,0.00008386891,0.0029825128,0.00020515754,0.000032749023,0.00018419356,0.000052949305,0.000020282914,0.0011759335],"genre_scores_gemma":[0.9968268,0.000015634809,0.001217337,0.000048571335,0.000026467338,0.000015406094,0.0013131675,0.0000037385385,0.00053283194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993546,0.000018578083,0.00013563916,0.00026253847,0.00005690055,0.00017175027],"domain_scores_gemma":[0.9997607,0.000035165944,0.00004509791,0.00011874641,0.000005308134,0.000035019733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010138407,0.00009375066,0.000118699914,0.0000131619445,0.00013418421,0.000028544058,0.00008002764,0.000066518616,0.000011615828],"category_scores_gemma":[0.0000041591798,0.000059241873,0.00001387662,0.00005057011,0.000076881355,0.00031560138,0.00018856314,0.000049819097,0.0000057337224],"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":[0.00015027514,0.00014540403,0.39139122,0.00004044902,0.00007075008,0.000009629827,0.00030897837,0.5285087,0.028867278,0.035480782,0.0068505453,0.008175984],"study_design_scores_gemma":[0.0002453513,0.00004736337,0.3528344,0.0000012176419,0.000022628397,0.00004765595,0.00000778081,0.63353854,0.000008696577,0.011346047,0.0018031885,0.00009713735],"about_ca_topic_score_codex":0.0007091115,"about_ca_topic_score_gemma":0.008278778,"teacher_disagreement_score":0.10502981,"about_ca_system_score_codex":0.000016186534,"about_ca_system_score_gemma":0.0000011674522,"threshold_uncertainty_score":0.46197522},"labels":[],"label_agreement":null},{"id":"W2160786409","doi":"10.1016/j.agrformet.2014.02.010","title":"Reconstruction of a 253-year long mast record of European beech reveals its association with large scale temperature variability and no long-term trend in mast frequencies","year":2014,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Beech; Mast (botany); Fagus sylvatica; Chronology; Climatology; Population; Geography; Physical geography; Environmental science; Geology; Biology; Demography; Forestry","score_opus":0.006288405602954302,"score_gpt":0.18425575678743003,"score_spread":0.17796735118447574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160786409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983629,0.000091295085,0.0000026215605,0.000094347546,0.000089209185,0.0001354576,0.000121342804,0.000014546221,0.0010882944],"genre_scores_gemma":[0.99903697,0.0001008161,0.00058471545,0.000011575278,0.000055683504,0.0000011434169,0.000091797316,0.0000025597562,0.0001147518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986376,0.00048691485,0.00028472045,0.00025165713,0.00011120315,0.00022785866],"domain_scores_gemma":[0.9992186,0.00032285546,0.00023224972,0.00008528402,0.00008202514,0.00005899456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000785249,0.00013119669,0.00030326453,0.00006722616,0.00006285878,0.00002092254,0.00007516507,0.00011944499,0.00007110736],"category_scores_gemma":[0.00019171127,0.00007670325,0.000028340131,0.00018008052,0.00009914707,0.00020416228,0.000017987406,0.00014251696,0.000005317862],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014509502,0.000015604764,0.9927004,0.000075014956,0.000019017138,0.0000018382206,0.00014890001,0.000017847598,0.0040529445,0.000030445208,0.000013674832,0.0027792272],"study_design_scores_gemma":[0.00047101,0.00045134517,0.998411,0.000058811547,0.00002865043,0.00007946348,0.00008093862,0.00003280109,0.00021473282,0.000055020755,0.000013494295,0.000102727114],"about_ca_topic_score_codex":0.00018293298,"about_ca_topic_score_gemma":0.027232733,"teacher_disagreement_score":0.0270498,"about_ca_system_score_codex":0.000007975348,"about_ca_system_score_gemma":0.0000070939122,"threshold_uncertainty_score":0.99051774},"labels":[],"label_agreement":null},{"id":"W2161094103","doi":"10.1016/j.agrformet.2004.10.003","title":"Net ecosystem production in a temperate pine plantation in southeastern Canada","year":2005,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":145,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Eddy covariance; Ecosystem respiration; Environmental science; Ecosystem; Temperate climate; Vapour Pressure Deficit; Chronosequence; Primary production; Productivity; Temperate rainforest; Forest ecology; Forestry; Transpiration; Atmospheric sciences; Hydrology (agriculture); Agroforestry; Ecology; Photosynthesis; Geography; Botany; Biology","score_opus":0.0037315727835336957,"score_gpt":0.16042964792609546,"score_spread":0.15669807514256176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161094103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99841094,0.000023945056,0.0000018605956,0.00096914865,0.000072258794,0.00012891476,0.000010553395,0.0000066619123,0.00037570976],"genre_scores_gemma":[0.9994566,0.00001822878,0.000050825944,0.000054267704,0.0000325595,0.000015749361,0.000058254547,0.0000019516192,0.00031154972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994256,0.00004034572,0.00015288324,0.00016517745,0.000063855754,0.00015214096],"domain_scores_gemma":[0.99988425,0.000008983965,0.000034832152,0.000039104205,0.0000026938303,0.000030143812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000079212994,0.00007427936,0.00009397468,0.000022346836,0.00002875541,0.000007871115,0.000041694257,0.000043854052,0.00002034289],"category_scores_gemma":[0.000004430805,0.000046781242,0.0000073536407,0.00011147616,0.000015330632,0.00012419102,0.000025098783,0.00007386204,0.000014148237],"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":[0.000021626918,0.000018858027,0.9118913,0.000004346548,0.0000032646083,0.000006637354,0.000344191,0.083383806,0.0027389594,0.00007045762,0.000078929945,0.001437661],"study_design_scores_gemma":[0.00022081008,0.000024397596,0.9888923,0.000005930453,0.000003340427,0.00010557973,0.00007195777,0.009828294,0.000059171878,0.00004835409,0.0006582199,0.000081645696],"about_ca_topic_score_codex":0.12367081,"about_ca_topic_score_gemma":0.9839805,"teacher_disagreement_score":0.86030966,"about_ca_system_score_codex":0.000077493736,"about_ca_system_score_gemma":0.000005864972,"threshold_uncertainty_score":0.8821647},"labels":[],"label_agreement":null},{"id":"W2162004632","doi":"10.1016/j.agrformet.2006.07.007","title":"Effect of aggregating spatial parameters on modelling forest carbon and water fluxes","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Ministry of Agriculture and Forestry","funders":"","keywords":"Environmental science; Beech; Leaf area index; Spatial variability; Canopy; Atmospheric sciences; Biomass (ecology); Ecosystem; Range (aeronautics); Soil science; Carbon cycle; Hydrology (agriculture); Ecology; Mathematics; Statistics; Biology","score_opus":0.0035844368494400178,"score_gpt":0.16643450001271193,"score_spread":0.1628500631632719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162004632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99849886,0.000034690358,0.000090950554,0.000058851052,0.000045835783,0.0001373926,0.0000040688333,0.000013901514,0.0011154722],"genre_scores_gemma":[0.99959,0.0000138653995,0.00020468254,0.000012624354,0.000021096506,0.000010301184,0.0000457937,0.0000043389264,0.00009728807],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928415,0.00006043614,0.00015740172,0.00020180715,0.00008986826,0.0002063629],"domain_scores_gemma":[0.9997536,0.00009459782,0.000052466286,0.00005894699,0.0000035232306,0.000036893238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011856387,0.00013375914,0.00017753102,0.000021141037,0.00006972881,0.0000128020765,0.00005005136,0.000085777014,0.0000057742645],"category_scores_gemma":[0.000004362538,0.00006440026,0.000032906097,0.000039205912,0.00013605355,0.000057577396,0.0000642837,0.00008374425,0.0000034570617],"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":[0.000092457325,0.000022565988,0.5036245,0.000019228824,0.00001896005,0.000006940317,0.00014201344,0.47618136,0.01613989,0.0003412288,0.000008106625,0.0034027672],"study_design_scores_gemma":[0.0010717993,0.0019907113,0.47431347,0.0000308882,0.00013229792,0.00013093452,0.000014186387,0.50195736,0.016421314,0.0034737326,0.000072984265,0.00039034997],"about_ca_topic_score_codex":0.0043462506,"about_ca_topic_score_gemma":0.00145019,"teacher_disagreement_score":0.029311007,"about_ca_system_score_codex":0.000013345309,"about_ca_system_score_gemma":4.57167e-7,"threshold_uncertainty_score":0.657026},"labels":[],"label_agreement":null},{"id":"W2162262417","doi":"10.1016/j.agrformet.2008.11.009","title":"Historical and projected climate data for natural resource management in western Canada","year":2009,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Climatology; Climate change; Environmental science; Climate model; Frost (temperature); Baseline (sea); Data set; Meteorology; Geography; Statistics; Mathematics; Geology","score_opus":0.027847998818236366,"score_gpt":0.22523851922100813,"score_spread":0.19739052040277177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162262417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934846,0.0021341094,5.962713e-7,0.0030642727,0.00015575183,0.0002815764,0.00041097024,0.000012287398,0.0004558105],"genre_scores_gemma":[0.9949961,0.00040578019,0.00012463646,0.00074937666,0.00010774935,0.0000029835774,0.0033278896,0.0000014100308,0.0002841327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991018,0.00003253588,0.00016082136,0.00030383797,0.000076644166,0.00032436717],"domain_scores_gemma":[0.99967045,0.000086211876,0.00004186527,0.00011730564,0.000012026503,0.000072129325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121294004,0.00011965861,0.0001843934,0.000034912675,0.00009901626,0.00002603865,0.0001568874,0.00005159003,0.000017893235],"category_scores_gemma":[0.000010170782,0.000070669084,0.000011898692,0.000095841184,0.000023255994,0.00012413818,0.000038395137,0.00008695555,0.000001015388],"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":[0.00022203581,0.000015955682,0.9529787,0.00005332605,0.000019497478,0.000054781787,0.00017025656,0.000016282807,0.000059007558,0.0001215903,0.012719559,0.033569057],"study_design_scores_gemma":[0.00038781852,0.00014334239,0.94421077,0.00000614584,0.000019212823,0.000065811546,0.00012865664,0.0004265134,9.1770346e-7,0.00006870267,0.054422613,0.00011951318],"about_ca_topic_score_codex":0.16054198,"about_ca_topic_score_gemma":0.9549102,"teacher_disagreement_score":0.79436827,"about_ca_system_score_codex":0.0000140997345,"about_ca_system_score_gemma":0.000007895235,"threshold_uncertainty_score":0.84504807},"labels":[],"label_agreement":null},{"id":"W2162360290","doi":"10.1016/j.agrformet.2006.07.002","title":"Impact of changing soil moisture distribution on net ecosystem productivity of a boreal aspen forest during and following drought","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":213,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Environment and Climate Change Canada; Canadian Forest Service; University of British Columbia","funders":"","keywords":"Environmental science; Evapotranspiration; Ecosystem respiration; Ecosystem; Soil water; Water content; Sink (geography); Soil respiration; Taiga; Hydrology (agriculture); Carbon sink; Agronomy; Primary production; Ecology; Soil science; Biology; Geology; Geography","score_opus":0.0028591380966122492,"score_gpt":0.17789680941453628,"score_spread":0.17503767131792403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162360290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991605,0.000041730513,0.000021080212,0.000047968857,0.000035853554,0.00015386644,0.00008998998,0.000010673045,0.0004382797],"genre_scores_gemma":[0.9996345,0.000007981823,0.000026639425,0.0000012852148,0.000029826577,0.0000074190007,0.00022234576,0.0000032302678,0.000066762725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993027,0.000035312358,0.00016703542,0.00019804291,0.00009587677,0.00020103123],"domain_scores_gemma":[0.9997485,0.00002321258,0.000113814946,0.000072991184,0.000006814062,0.000034617053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001031249,0.00011942648,0.00020290159,0.000024114393,0.00008580355,0.000009131288,0.000051898773,0.000078400095,0.0000029720427],"category_scores_gemma":[0.000007820622,0.00006897342,0.000071994815,0.00014160835,0.000057460526,0.00013404187,0.000076283264,0.00007146476,8.520107e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037725913,0.00004223252,0.97383374,0.00001609061,0.000030112797,0.000004149064,0.00008270465,0.014953866,0.010186687,0.00066276157,0.000014698597,0.00013525707],"study_design_scores_gemma":[0.0002626508,0.00018107517,0.9961663,0.000013564565,0.00003414104,0.000065509375,0.00001666861,0.002336257,0.0004577981,0.00036868066,0.000008790948,0.00008859361],"about_ca_topic_score_codex":0.002132612,"about_ca_topic_score_gemma":0.0040133405,"teacher_disagreement_score":0.022332557,"about_ca_system_score_codex":0.0000513467,"about_ca_system_score_gemma":0.0000021793128,"threshold_uncertainty_score":0.3223886},"labels":[],"label_agreement":null},{"id":"W2167433403","doi":"10.1016/j.agrformet.2008.12.007","title":"Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices","year":2009,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":211,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Canopy; Normalized Difference Vegetation Index; Red edge; Environmental science; Chlorophyll; Leaf area index; Primary production; Photosynthetically active radiation; Ground truth; Remote sensing; Enhanced vegetation index; Biometeorology; Chlorophyll a; Atmospheric sciences; Vegetation Index; Geography; Photosynthesis; Agronomy; Botany; Ecosystem; Geology; Ecology; Biology","score_opus":0.006384674213720714,"score_gpt":0.20750890401476563,"score_spread":0.2011242298010449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167433403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980215,0.00012643707,0.000041059233,0.0005900172,0.00014799825,0.0002522698,3.7661093e-7,0.000025667918,0.00079471077],"genre_scores_gemma":[0.9948247,0.000035288194,0.004954081,0.000055751036,0.00003352082,3.665398e-7,0.000031124742,0.0000032061198,0.00006197932],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989825,0.00007527747,0.0002967915,0.00029108522,0.00016045925,0.00019390785],"domain_scores_gemma":[0.9996542,0.000022465823,0.0001815617,0.000086440195,0.000015967235,0.000039401486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015688587,0.00014001009,0.00020616912,0.00004532832,0.000076863624,0.000012577904,0.00007229616,0.00015674751,0.000007008376],"category_scores_gemma":[0.000045350298,0.0000850366,0.00003315078,0.00039712508,0.00014037924,0.00036168756,0.000034148296,0.00014258474,0.000009010869],"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":[0.00006799631,0.00009033735,0.022625463,0.0000349266,0.000015605649,0.000007809642,0.0016046157,0.21134086,0.65799445,0.00010967514,0.00006977217,0.106038466],"study_design_scores_gemma":[0.00022997987,0.0001673054,0.98524773,0.000031739626,0.000022435761,0.00015561275,0.00003901928,0.0077411663,0.00401055,0.0022251157,0.000007858344,0.00012150618],"about_ca_topic_score_codex":0.00033648062,"about_ca_topic_score_gemma":0.0003211048,"teacher_disagreement_score":0.9626222,"about_ca_system_score_codex":0.00009337872,"about_ca_system_score_gemma":0.0000034712211,"threshold_uncertainty_score":0.34676918},"labels":[],"label_agreement":null},{"id":"W2168331027","doi":"10.1016/j.agrformet.2003.12.003","title":"Sensitivity and uncertainty of the carbon balance of a Pacific Northwest Douglas-fir forest during an El Niño/La Niña cycle","year":2004,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":277,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of British Columbia; University of Victoria; University of Guelph; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eddy covariance; Environmental science; Ecosystem respiration; Ecosystem; Climatology; Precipitation; Productivity; Atmospheric sciences; Climate change; Annual cycle; Forest ecology; Carbon cycle; Douglas fir; Geography; Forestry; Oceanography; Ecology; Meteorology; Geology; Biology","score_opus":0.0025542814615374765,"score_gpt":0.16719360688672852,"score_spread":0.16463932542519105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168331027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99894696,0.000033502358,0.0000035962867,0.00013164229,0.00005320604,0.00013186973,0.000033713048,0.000010450992,0.0006550312],"genre_scores_gemma":[0.9998095,0.000050129656,0.000061257655,0.000009880323,0.000016451899,0.000005366253,0.00001939381,0.0000036720974,0.000024335997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925727,0.00008052509,0.00016975208,0.00020704944,0.00010625404,0.00017913224],"domain_scores_gemma":[0.9996429,0.00004564609,0.00010987219,0.0001331296,0.000010604253,0.000057861354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011957153,0.00012312115,0.00018497116,0.000014280704,0.00009319223,0.0000081809285,0.00008155432,0.000094071096,0.0000023963037],"category_scores_gemma":[0.000010171405,0.0000654443,0.000039711533,0.00012772827,0.0003980439,0.00010552051,0.00012849722,0.000110109984,5.9319507e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026581321,0.000041145253,0.9158164,0.000010634501,0.000012591734,0.0000049802966,0.00035088195,0.05159056,0.031293564,0.0007320092,4.822575e-7,0.000120152785],"study_design_scores_gemma":[0.0004027611,0.0000862992,0.993876,0.00001062397,0.000025346411,0.00019678539,0.000079877085,0.00349013,0.00046575235,0.0012538213,0.000015084455,0.00009751195],"about_ca_topic_score_codex":0.007007842,"about_ca_topic_score_gemma":0.034991696,"teacher_disagreement_score":0.07805959,"about_ca_system_score_codex":0.000026238493,"about_ca_system_score_gemma":0.000004395762,"threshold_uncertainty_score":0.9996046},"labels":[],"label_agreement":null},{"id":"W2168660995","doi":"10.1016/j.agrformet.2007.04.013","title":"Measured winds about a thick hedge","year":2007,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wind speed; Anemometer; Wind direction; Environmental science; Windbreak; Transect; Turbulence kinetic energy; Atmospheric sciences; Maximum sustained wind; Meteorology; Turbulence; Wind gradient; Geology; Physics","score_opus":0.009188702325685787,"score_gpt":0.19971628443520248,"score_spread":0.1905275821095167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168660995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862657,0.0024213819,0.00008269439,0.00047966168,0.00028690026,0.00011157667,0.000007795156,0.000049735536,0.01029455],"genre_scores_gemma":[0.9984264,0.000080541715,0.00022726522,0.0004890879,0.00025216662,8.546693e-7,0.00007759677,0.0000018561461,0.00044423985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900806,0.00003623697,0.00016403355,0.00023824585,0.00012662703,0.00042679513],"domain_scores_gemma":[0.9994986,0.00014103384,0.000057245932,0.00007327423,0.00004836989,0.00018147317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035682094,0.0001482957,0.00018976432,0.0000359558,0.0001803189,0.000030823045,0.00012410257,0.00014680941,0.00020834219],"category_scores_gemma":[0.000047018086,0.00007860705,0.000048507143,0.00018481017,0.00012525072,0.00016193917,0.000013663836,0.00015300821,0.0001231744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018673258,0.000018959014,0.9144062,0.000051121486,0.000059023423,0.000059269914,0.0005515454,0.00034243733,0.0004728628,0.0017257628,0.0021510052,0.07997512],"study_design_scores_gemma":[0.00024497884,0.0002844659,0.9917417,0.0000058239802,0.000020788895,0.00019575328,0.00010918264,0.0002641554,0.000090610505,0.0012861562,0.005608346,0.00014803799],"about_ca_topic_score_codex":0.00057792047,"about_ca_topic_score_gemma":0.009369411,"teacher_disagreement_score":0.07982708,"about_ca_system_score_codex":0.0000020259063,"about_ca_system_score_gemma":0.000009491221,"threshold_uncertainty_score":0.5228351},"labels":[],"label_agreement":null},{"id":"W2170418509","doi":"10.1016/j.agrformet.2005.04.006","title":"Midday values of gross CO2 flux and light use efficiency during satellite overpasses can be used to directly estimate eight-day mean flux","year":2005,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":143,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Aeronautics and Space Administration","keywords":"Photosynthetically active radiation; Environmental science; Atmospheric sciences; Flux (metallurgy); Satellite; Biometeorology; Cloud cover; Photosynthesis; Climatology; Meteorology; Canopy; Geography; Ecology; Chemistry; Geology; Biology; Physics; Botany","score_opus":0.007859525960538027,"score_gpt":0.20439374365080573,"score_spread":0.19653421769026772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170418509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980958,0.00021700969,0.000066271234,0.0008347194,0.000073617695,0.00025181036,0.000015300126,0.000038657014,0.00040677655],"genre_scores_gemma":[0.9936547,0.00020812068,0.0038940206,0.00017466507,0.000041988893,0.000015201004,0.000023270208,0.0000143964635,0.00197358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984276,0.00007345345,0.00031182307,0.0004899369,0.0002296672,0.0004674957],"domain_scores_gemma":[0.9993676,0.00010183063,0.000113085654,0.0001701687,0.0000073377446,0.00023999928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013849016,0.0002924556,0.0003518382,0.000012792192,0.0002206833,0.000038865863,0.00017179498,0.00012514529,0.0001250498],"category_scores_gemma":[0.000028851664,0.00018571578,0.00006156353,0.000184151,0.00038301264,0.00030967098,0.00031601486,0.00011301974,0.000023607916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007714989,0.00016707566,0.6702238,0.000028524972,0.00006201822,0.000018012845,0.0041192886,0.023959959,0.2971273,0.0003076614,0.00024349283,0.0036656964],"study_design_scores_gemma":[0.0003690312,0.00024019489,0.98540044,0.000011193242,0.000053355685,0.000056056735,0.00015792855,0.00052427873,0.010770404,0.0000856186,0.0020395003,0.00029199373],"about_ca_topic_score_codex":0.0005898833,"about_ca_topic_score_gemma":0.0022328466,"teacher_disagreement_score":0.31517664,"about_ca_system_score_codex":0.00009313338,"about_ca_system_score_gemma":0.0000026788184,"threshold_uncertainty_score":0.75732696},"labels":[],"label_agreement":null},{"id":"W2171509917","doi":"10.1016/j.agrformet.2010.08.013","title":"Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data","year":2010,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":194,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Office of Science; Oak Ridge National Laboratory; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Microsoft Research; U.S. Department of Energy; Manitoba Medical Service Foundation; National Science Foundation","keywords":"FluxNet; Eddy covariance; Transpiration; Environmental science; Photosynthesis; Ecology; Ecosystem; Biology","score_opus":0.03265917113040359,"score_gpt":0.24147340793662728,"score_spread":0.20881423680622369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171509917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703074,0.000007427648,0.0023526798,0.00009879189,0.00006730093,0.00009897995,0.00015948733,0.0000123187465,0.0001723058],"genre_scores_gemma":[0.9846842,0.0000030036333,0.015030221,0.000041092528,0.000027605123,0.000002906108,0.000194411,0.0000025333961,0.000014010354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991066,0.00007334376,0.00018131343,0.00036138555,0.000093584305,0.00018381493],"domain_scores_gemma":[0.999548,0.00016021289,0.00006402326,0.0001574928,0.000004948706,0.000065286484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000426691,0.00011974565,0.00016664597,0.000012137553,0.000098018325,0.00005647683,0.00012897515,0.00013929467,0.000023890347],"category_scores_gemma":[0.00006937777,0.00007521546,0.00001292292,0.000100601865,0.0001711139,0.00044644138,0.00024913822,0.00018144223,0.0000029352989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023590124,0.00003147053,0.9345752,0.0000050296926,0.00002238638,0.0000032807743,0.000058520982,0.055353235,0.008048067,0.0008686082,0.000022831404,0.0009878051],"study_design_scores_gemma":[0.00010302609,0.000009172416,0.5536843,0.0000025341021,0.000029425499,0.00006390167,0.0000057896623,0.44232175,0.000021542768,0.0036516692,0.00002221165,0.00008466377],"about_ca_topic_score_codex":0.0006610326,"about_ca_topic_score_gemma":0.0023427745,"teacher_disagreement_score":0.38696852,"about_ca_system_score_codex":0.000027907712,"about_ca_system_score_gemma":0.000009128368,"threshold_uncertainty_score":0.30671972},"labels":[],"label_agreement":null},{"id":"W2195060915","doi":"10.1016/j.agrformet.2015.09.017","title":"Assessment of foliage clumping effects on evapotranspiration estimates in forested ecosystems","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Space Agency; National Natural Science Foundation of China","keywords":"Evapotranspiration; Canopy; Environmental science; Atmospheric sciences; Leaf area index; Taiga; Boreal ecosystem; Ecosystem; Flux (metallurgy); Boreal; Spatial distribution; Spatial variability; Hydrology (agriculture); Ecology; Geography; Mathematics; Geology; Remote sensing; Statistics; Biology; Chemistry","score_opus":0.009959708767473421,"score_gpt":0.22496361940394533,"score_spread":0.2150039106364719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2195060915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969928,0.0000264007,0.00016121978,0.00008904669,0.00008442509,0.00021705178,0.0000043549226,0.0000132236155,0.0024114423],"genre_scores_gemma":[0.9993548,0.000007680081,0.0004842308,0.000030584175,0.000012620195,0.000025082472,0.00005208648,0.00000292287,0.000030004621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993483,0.000057227542,0.00017723365,0.00015742048,0.00011305167,0.00014676957],"domain_scores_gemma":[0.9997305,0.00007883982,0.00006559563,0.000061554776,0.000007028335,0.000056467783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001647497,0.00009591585,0.00016397747,0.000031975327,0.000027795631,0.00000904286,0.00006208524,0.000077080455,0.0000061725914],"category_scores_gemma":[0.00001632598,0.00005800319,0.000023305274,0.00011594326,0.00003773402,0.000114619535,0.000031652184,0.00007557013,0.0000074244986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001402958,0.000039737897,0.93261915,0.000019029596,0.000010249663,0.0000070139795,0.00014804718,0.055568237,0.008142647,0.0026516865,0.000020733545,0.0007594546],"study_design_scores_gemma":[0.00047459162,0.00035781538,0.93262976,0.000020105535,0.0000147385235,0.000018271141,0.000011019981,0.06459174,0.00035465194,0.0013971932,0.00004751122,0.00008259372],"about_ca_topic_score_codex":0.00042337968,"about_ca_topic_score_gemma":0.003176882,"teacher_disagreement_score":0.009023508,"about_ca_system_score_codex":0.000053817257,"about_ca_system_score_gemma":0.000003468742,"threshold_uncertainty_score":0.23653013},"labels":[],"label_agreement":null},{"id":"W2202019762","doi":"10.1016/j.agrformet.2015.11.003","title":"Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":279,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; University of Victoria; Pacific Institute for Climate Solutions; Agriculture and Agri-Food Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration","keywords":"Normalized Difference Vegetation Index; Moderate-resolution imaging spectroradiometer; Enhanced vegetation index; Environmental science; Vegetation (pathology); Crop yield; Linear regression; Leaf area index; Mathematics; Statistics; Satellite; Vegetation Index; Agronomy","score_opus":0.04092730642546493,"score_gpt":0.23791581114622462,"score_spread":0.19698850472075968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2202019762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865864,0.0003265975,0.00003802511,0.006214429,0.000106575535,0.00018825913,0.0000022476443,0.000031540523,0.0065059126],"genre_scores_gemma":[0.99526674,0.000017398212,0.003279615,0.00062994735,0.00005270592,0.000002006405,0.000026659212,0.0000067236656,0.0007181995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987796,0.0002972827,0.00015476537,0.00029611125,0.00015845378,0.0003137729],"domain_scores_gemma":[0.9991821,0.00038524257,0.000117643125,0.00007709947,0.000023074304,0.00021482522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047236565,0.00018264144,0.00017322948,0.000023620216,0.0005524278,0.000091784044,0.000098898694,0.0001619212,0.000011730371],"category_scores_gemma":[0.00062781846,0.00008366689,0.000025332816,0.00017744639,0.0003094805,0.00014097687,0.00008151377,0.00034873578,0.000019412988],"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":[0.00028805755,0.00009811312,0.494032,0.000064924585,0.00029394391,0.00013004128,0.03495343,0.017345345,0.104404025,0.0030491804,0.07268578,0.27265516],"study_design_scores_gemma":[0.00037228255,0.0006607885,0.95647496,0.000028861004,0.00006277169,0.0007077964,0.0009820843,0.008572171,0.0014955826,0.0016790088,0.028546577,0.00041713967],"about_ca_topic_score_codex":0.07562934,"about_ca_topic_score_gemma":0.42209795,"teacher_disagreement_score":0.46244293,"about_ca_system_score_codex":0.00008200769,"about_ca_system_score_gemma":0.000009387449,"threshold_uncertainty_score":0.93052614},"labels":[],"label_agreement":null},{"id":"W2222009108","doi":"10.1016/j.agrformet.2015.12.059","title":"Ten-year variability in ecosystem water use efficiency in an oak-dominated temperate forest under a warming climate","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Southern Research Station; College of Engineering, Michigan State University; McMaster University; Michigan State University","keywords":"Evapotranspiration; Eddy covariance; Water-use efficiency; Environmental science; Growing season; Ecosystem; Vapour Pressure Deficit; Atmospheric sciences; Temperate climate; Leaf area index; Biomass (ecology); Precipitation; Agronomy; Ecology; Transpiration; Biology; Geography; Botany; Irrigation; Photosynthesis","score_opus":0.006825156846452974,"score_gpt":0.18953058411923307,"score_spread":0.1827054272727801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222009108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990443,0.0000035216422,0.000064126994,0.00030788055,0.0000921676,0.00027081798,0.00003254728,0.000027184587,0.00015743815],"genre_scores_gemma":[0.9996061,0.0000279198,0.000105782805,0.000047736965,0.000012329811,0.000032306547,0.00005323561,0.000006879994,0.000107750384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983631,0.00025704756,0.00033384064,0.00043123288,0.000101476384,0.00051329593],"domain_scores_gemma":[0.99958175,0.00011380861,0.0000491864,0.00015061758,0.000011182966,0.000093443516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005765467,0.00018245028,0.0002373546,0.000057118003,0.00008716889,0.000038018,0.00014405693,0.00016233469,0.00006452308],"category_scores_gemma":[0.000021801345,0.00007917352,0.00003356464,0.00017036629,0.00011217878,0.0005251604,0.0001689038,0.00011952146,0.00006829879],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049768085,0.00007572824,0.95510566,0.0000057296347,0.000004192843,0.000013136336,0.00019726357,0.0043162587,0.039177634,0.0007198784,0.0000031745785,0.00033160113],"study_design_scores_gemma":[0.0007937481,0.00012472678,0.98945624,0.00001738581,0.00001065884,0.000057049114,0.0000520538,0.007939217,0.00035679815,0.00092156994,0.00006537252,0.0002051968],"about_ca_topic_score_codex":0.00044157903,"about_ca_topic_score_gemma":0.014898064,"teacher_disagreement_score":0.038820833,"about_ca_system_score_codex":0.00012355762,"about_ca_system_score_gemma":0.0000031699324,"threshold_uncertainty_score":0.8313469},"labels":[],"label_agreement":null},{"id":"W2280925845","doi":"10.1016/j.agrformet.2016.01.139","title":"Generalized flux-gradient technique pairing line-average concentrations on vertically separated paths","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fetch; Flux (metallurgy); Advection; Mechanics; Pairing; Turbulence; Physics; Dispersion (optics); Line source; Stratification (seeds); Inverse; Inversion (geology); Meteorology; Mathematics; Geometry; Materials science; Optics; Thermodynamics; Geology; Structural basin","score_opus":0.006622785776978882,"score_gpt":0.19488341834201287,"score_spread":0.18826063256503398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280925845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99140424,0.00002340124,0.005177136,0.0008659176,0.00007089534,0.0002872936,0.000004719132,0.00006436099,0.0021020505],"genre_scores_gemma":[0.9941629,0.00009943847,0.0030879285,0.00046609726,0.000031435626,0.00007732918,0.000015016382,0.0000087617855,0.0020510522],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989045,0.00006841985,0.00020599678,0.00034388722,0.00012871213,0.00034844395],"domain_scores_gemma":[0.99959743,0.00006010818,0.00005546989,0.00013049206,0.000004461361,0.0001520518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007968825,0.00019235589,0.00017566407,0.000004583996,0.00015177627,0.000012693318,0.000118235635,0.00012585899,0.00052137213],"category_scores_gemma":[0.000018949866,0.00009489686,0.00005665657,0.00009409195,0.0003009543,0.00012328198,0.000117544645,0.00009223204,0.00017751758],"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":[0.0002622921,0.00036346275,0.23947312,0.000008480193,0.000104132356,0.000067877234,0.00031572956,0.04777407,0.67168665,0.018351007,0.0023286648,0.019264488],"study_design_scores_gemma":[0.0012009825,0.0010155389,0.9771086,0.000018488048,0.0000465718,0.00011654562,0.00003254297,0.002515708,0.005958105,0.0021520038,0.009356338,0.00047858479],"about_ca_topic_score_codex":0.00007904778,"about_ca_topic_score_gemma":0.00008485781,"teacher_disagreement_score":0.7376355,"about_ca_system_score_codex":0.000116058996,"about_ca_system_score_gemma":0.000002541301,"threshold_uncertainty_score":0.5708659},"labels":[],"label_agreement":null},{"id":"W2302272972","doi":"10.1016/j.agrformet.2016.03.008","title":"Correction for light scattering combined with sub-pixel classification improves estimation of gap fraction from digital cover photography","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sky; Pixel; Remote sensing; Canopy; Digital image; Digital photography; Zenith; Environmental science; Fraction (chemistry); Digital camera; Diffuse sky radiation; Mathematics; Photography; Scattering; Computer science; Optics; Artificial intelligence; Image processing; Image (mathematics); Physics; Geography; Meteorology; Chemistry","score_opus":0.006156135357066995,"score_gpt":0.18552327556957035,"score_spread":0.17936714021250336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302272972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913678,0.000010287963,0.0069174734,0.0005754985,0.00025032015,0.00034767395,0.000014578202,0.000039535113,0.00047680564],"genre_scores_gemma":[0.99863935,0.000014960797,0.0009889114,0.000030104242,0.000048259975,0.000014839972,0.00010064955,0.0000065813424,0.00015637591],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992177,0.000022611326,0.00018838386,0.00029215708,0.00011985807,0.00015931335],"domain_scores_gemma":[0.9994607,0.00014797029,0.000212776,0.00009685007,0.000032131513,0.000049578564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000469392,0.00014631078,0.00017063793,0.000025456888,0.000094791445,0.000031438154,0.00006335184,0.00011757212,0.000014796265],"category_scores_gemma":[0.000039289487,0.00006580564,0.00005133623,0.00013956084,0.00015552707,0.0005108249,0.000029817029,0.00005506741,0.00001846739],"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":[0.00023617361,0.00004133239,0.02649869,0.0000052679266,0.000030474153,1.8188949e-7,0.00006962193,0.00016772078,0.94278616,0.000033249165,0.0014244597,0.028706666],"study_design_scores_gemma":[0.0006091995,0.0005772872,0.9560724,0.000027121949,0.00004773662,0.000021586276,0.00005953663,0.002426695,0.038709614,0.0007533683,0.0005404576,0.00015501751],"about_ca_topic_score_codex":0.00009877871,"about_ca_topic_score_gemma":0.0001739244,"teacher_disagreement_score":0.9295737,"about_ca_system_score_codex":0.00004978389,"about_ca_system_score_gemma":0.0000022278884,"threshold_uncertainty_score":0.2683476},"labels":[],"label_agreement":null},{"id":"W2343770652","doi":"10.1016/j.agrformet.2015.07.193","title":"Peer review report 1 On “Gross and aboveground net primary production at Canadian forest carbon flux sites”","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Primary production; Environmental science; Flux (metallurgy); Carbon flux; Forestry; Atmospheric sciences; Geography; Ecology; Ecosystem; Biology; Geology; Chemistry","score_opus":0.01895776071173622,"score_gpt":0.21382644817980442,"score_spread":0.1948686874680682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343770652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9642599,0.004911324,0.0000036575266,0.0052200635,0.00059016066,0.0004901064,0.0000080383525,0.00012147111,0.024395248],"genre_scores_gemma":[0.9802441,0.0011135039,0.000069135545,0.00081831985,0.00017713221,0.00005849831,0.00087140535,0.000017124996,0.016630756],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9989051,0.000028770817,0.00024076096,0.00030425627,0.00021455619,0.00030656025],"domain_scores_gemma":[0.9993164,0.0000124790795,0.000050563704,0.00017396602,0.00016337706,0.00028319535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029388643,0.00020476512,0.00024603534,0.000071892624,0.00008309583,0.000030947773,0.00006690238,0.00010967538,0.000013262711],"category_scores_gemma":[0.00011203931,0.00013670587,0.000029813611,0.00014474278,0.00007476109,0.00011196758,0.000052674877,0.000099634126,0.000017512944],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065336164,0.000051266394,0.19498,0.001281277,0.00023669025,0.0003766331,0.0004925887,0.0025529277,0.0010592311,0.005827812,0.7890008,0.0040754685],"study_design_scores_gemma":[0.0002848314,0.00015179905,0.6303412,0.00005918818,0.000073723044,0.0008093881,0.00003484264,0.00024276803,0.000043274227,0.00019238968,0.36750057,0.00026605363],"about_ca_topic_score_codex":0.0027824822,"about_ca_topic_score_gemma":0.15660709,"teacher_disagreement_score":0.43536118,"about_ca_system_score_codex":0.00018322897,"about_ca_system_score_gemma":0.000016311513,"threshold_uncertainty_score":0.85878265},"labels":[],"label_agreement":null},{"id":"W2344983184","doi":"10.1016/j.agrformet.2016.03.016","title":"Assessment and simulation of global terrestrial latent heat flux by synthesis of CMIP5 climate models and surface eddy covariance observations","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Environment Canada; European Commission; Université Laval; Università degli Studi della Tuscia; U.S. Department of Energy; National Science Foundation","keywords":"Eddy covariance; Coupled model intercomparison project; Environmental science; Climatology; Latent heat; Precipitation; Biosphere model; Atmospheric sciences; Atmosphere (unit); Mean squared error; Climate model; Flux (metallurgy); Biosphere; Meteorology; Climate change; Ecosystem; Mathematics; Statistics; Geology","score_opus":0.014447447760124753,"score_gpt":0.2239211109726286,"score_spread":0.20947366321250385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344983184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737173,0.000062661646,0.0017548084,0.0003417956,0.000034825985,0.00013100002,0.00018802035,0.000007437536,0.000107720596],"genre_scores_gemma":[0.9982404,0.00020918994,0.00147503,0.000011628127,0.0000058524624,0.000005215879,0.000023274999,0.0000019985614,0.000027423777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993452,0.00004877283,0.00020541453,0.00017670661,0.000089606896,0.00013433339],"domain_scores_gemma":[0.9996579,0.000142985,0.00007971389,0.00006192574,0.000009151926,0.000048280333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103227656,0.0000940214,0.00017803213,0.000005466504,0.000057446377,0.000008187975,0.00004713435,0.00007700824,0.000010351068],"category_scores_gemma":[0.00001005663,0.000049952734,0.000020398082,0.0000654864,0.00016103919,0.00020447878,0.00008684425,0.000027835826,6.6286464e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048830767,0.00004197209,0.64923865,0.00000935879,0.00003193515,5.901676e-7,0.0000332159,0.28752664,0.059089918,0.002625064,0.000032926266,0.0013209184],"study_design_scores_gemma":[0.00037135906,0.000097607044,0.8506254,0.0000133696485,0.00004816907,0.000010148763,0.000007897441,0.14678799,0.00018264353,0.001746653,0.000024250172,0.00008450631],"about_ca_topic_score_codex":0.00031341598,"about_ca_topic_score_gemma":0.00024125096,"teacher_disagreement_score":0.20138676,"about_ca_system_score_codex":0.00002983401,"about_ca_system_score_gemma":0.0000030088704,"threshold_uncertainty_score":0.20370135},"labels":[],"label_agreement":null},{"id":"W2476601773","doi":"10.1016/j.agrformet.2016.07.018","title":"Addressing a systematic bias in carbon dioxide flux measurements with the EC150 and the IRGASON open-path gas analyzers","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Agriculture and Agri-Food Canada; Université de Montréal; HEC Montréal","funders":"Biological and Environmental Research; U.S. Geological Survey; Lunds Universitet; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Universität Innsbruck; Canada Research Chairs; U.S. Department of Energy; Fonds de recherche du Québec – Nature et technologies; German Academic Exchange Service London; Deutscher Akademischer Austauschdienst; National Science Foundation; Agriculture and Agri-Food Canada; Smithsonian Institution","keywords":"Carbon dioxide; Environmental science; Flux (metallurgy); Path (computing); Gas analyzer; Systematic error; Atmospheric sciences; Physics; Chemistry; Statistics; Computer science; Environmental chemistry; Mathematics","score_opus":0.02710516181273818,"score_gpt":0.21399754995050543,"score_spread":0.18689238813776726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2476601773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99587286,0.00032559174,0.00006727991,0.0020521444,0.000026234122,0.000623365,6.8487213e-7,0.000008781565,0.0010230638],"genre_scores_gemma":[0.99881446,0.00008292358,0.0002805998,0.00022777123,0.000012209429,0.000091722824,0.0000011995488,0.0000072016114,0.00048192797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987392,0.0002907407,0.0001988589,0.00028764489,0.00020225563,0.00028129615],"domain_scores_gemma":[0.99945,0.00017689656,0.00013888969,0.00016491595,0.0000035781336,0.000065674954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057073176,0.00018430267,0.0002999205,0.0000043759765,0.00015495103,0.000042832933,0.0002849685,0.000059018665,0.000028103772],"category_scores_gemma":[0.00003836832,0.00005354824,0.000028102126,0.00013590185,0.000757918,0.00016532303,0.00032348608,0.00009513401,0.000006414882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036991763,0.000061327926,0.9843852,0.00011387819,0.00015008968,0.000017316408,0.001628412,0.0025562844,0.007351281,0.0004301984,0.00010713385,0.0028289964],"study_design_scores_gemma":[0.0019946794,0.00016967597,0.99472725,0.00022698272,0.0001602458,0.00013300915,0.0010203269,0.0008882031,0.00006320243,0.00037215644,0.000048196398,0.00019606063],"about_ca_topic_score_codex":0.001400013,"about_ca_topic_score_gemma":0.0031239772,"teacher_disagreement_score":0.010342097,"about_ca_system_score_codex":0.0000796398,"about_ca_system_score_gemma":0.0000026765017,"threshold_uncertainty_score":0.27925804},"labels":[],"label_agreement":null},{"id":"W2511968333","doi":"10.1016/j.agrformet.2016.08.024","title":"Water use in a riparian cottonwood ecosystem: Eddy covariance measurements and scaling along a river corridor","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Riparian zone; Environmental science; Eddy covariance; Hydrology (agriculture); Riparian forest; Evapotranspiration; Streamflow; Ecosystem; Ecology; Geography; Geology; Drainage basin; Habitat","score_opus":0.01382034122075768,"score_gpt":0.18101861818956286,"score_spread":0.16719827696880518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511968333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99901074,0.000028127879,0.00018460148,0.0003183064,0.00010267726,0.00018318727,0.000020853498,0.000015964899,0.00013555295],"genre_scores_gemma":[0.99902886,0.0000340215,0.00048514496,0.00007387386,0.00001769562,0.000020553181,0.000017347624,0.0000045049837,0.00031800274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901456,0.00007881618,0.0002016305,0.00029542734,0.00010983858,0.00029971512],"domain_scores_gemma":[0.99973035,0.000047108988,0.000044546177,0.000083020495,0.000008448497,0.00008652695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018953877,0.00013755201,0.00017527146,0.000026544963,0.000087249566,0.000031399097,0.00007935575,0.00010066711,0.00004552768],"category_scores_gemma":[0.00001697126,0.000059962458,0.00002272168,0.000063003856,0.00011484219,0.0003480431,0.00012232766,0.000066874985,0.000057541674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041763647,0.000030792202,0.96429414,0.0000056182025,0.000023201337,0.000018086685,0.00034282438,0.0011602645,0.032641742,0.00018512961,0.000048401613,0.001208057],"study_design_scores_gemma":[0.00095141283,0.00006747564,0.99554,0.000025547184,0.000027375065,0.00017142869,0.000013459904,0.0014795163,0.0003892867,0.00048212163,0.00067014236,0.00018220805],"about_ca_topic_score_codex":0.00091729476,"about_ca_topic_score_gemma":0.010431733,"teacher_disagreement_score":0.032252457,"about_ca_system_score_codex":0.000049532795,"about_ca_system_score_gemma":0.0000017057715,"threshold_uncertainty_score":0.5821152},"labels":[],"label_agreement":null},{"id":"W2513421838","doi":"10.1016/j.agrformet.2016.08.016","title":"Canopy leaf water content estimated using terrestrial LiDAR","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"China Scholarship Council","keywords":"Environmental science; Canopy; Lidar; Remote sensing; Mean squared error; Leaf area index; Correlation coefficient; Waveform; Mean absolute percentage error; Wind speed; Water content; Coefficient of determination; Atmospheric radiative transfer codes; Radiative transfer; Meteorology; Atmospheric sciences; Mathematics; Statistics; Geology; Radar; Computer science; Optics; Geography","score_opus":0.032207433458453304,"score_gpt":0.23189330449322165,"score_spread":0.19968587103476834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513421838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965625,0.000017484845,0.00023381771,0.0018943276,0.00013854128,0.00013939435,0.0000036787544,0.000043270906,0.0009670205],"genre_scores_gemma":[0.9979792,0.000011808685,0.00096783746,0.00010798457,0.00008762264,0.0000030290612,0.000010839264,0.000005397811,0.00082624156],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991637,0.00004422185,0.00015585653,0.0002572936,0.00008504019,0.00029390186],"domain_scores_gemma":[0.9997047,0.0000386225,0.000038883467,0.00011241687,0.000007139725,0.00009821365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000754697,0.00012460971,0.0001419708,0.0000138552205,0.00016121214,0.000018876106,0.00008652441,0.00008535288,0.0001716904],"category_scores_gemma":[0.000018381994,0.000047967565,0.000038979724,0.00005597427,0.0002464043,0.00010270415,0.00009489268,0.0000536939,0.00023099734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003350944,0.000018842175,0.031591065,8.852607e-7,0.000015723548,0.0000039972792,0.00011416101,0.00007666737,0.95842665,0.00011699742,0.00053780555,0.009063675],"study_design_scores_gemma":[0.0011092133,0.00020434031,0.94238675,0.000014213524,0.000064786356,0.0003143748,0.00006193012,0.00045126036,0.04154233,0.0010535398,0.012474176,0.00032308346],"about_ca_topic_score_codex":0.0014077309,"about_ca_topic_score_gemma":0.0004361736,"teacher_disagreement_score":0.91688436,"about_ca_system_score_codex":0.000044357897,"about_ca_system_score_gemma":0.000002573441,"threshold_uncertainty_score":0.29690805},"labels":[],"label_agreement":null},{"id":"W2518996459","doi":"10.1016/j.agrformet.2016.09.003","title":"On the variability of the ecosystem response to elevated atmospheric CO2 across spatial and temporal scales at the Duke Forest FACE experiment","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; ETH Zürich Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; Stavros Niarchos Foundation; Eidgenössische Technische Hochschule Zürich; National Science Foundation","keywords":"Transpiration; Environmental science; Stomatal conductance; Ecosystem; Atmospheric sciences; Canopy; Temporal scales; Vapour Pressure Deficit; Carbon dioxide; Leaf area index; Photosynthesis; Biometeorology; Spatial variability; Forest ecology; Carbon dioxide in Earth's atmosphere; Carbon cycle; Ecology; Biology; Botany; Mathematics; Physics","score_opus":0.009961230034540048,"score_gpt":0.20999930332901712,"score_spread":0.20003807329447706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518996459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794733,0.00009788057,0.000004518105,0.019122971,0.00013579696,0.0008059457,0.00029228732,0.000031851723,0.000035457917],"genre_scores_gemma":[0.99879634,0.000022553271,0.000008637824,0.00034766446,0.00006401089,0.00010239979,0.000013716073,0.0000016665197,0.00064298586],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972982,0.0012011426,0.0003440068,0.00044485397,0.00025328924,0.00045851685],"domain_scores_gemma":[0.99559426,0.003813969,0.0001960329,0.00019096921,0.000086086926,0.00011868849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057397,0.0002689054,0.0003002325,0.00000270086,0.0006357109,0.00004549386,0.00047910828,0.0001653333,0.0000763159],"category_scores_gemma":[0.00057916704,0.00004757909,0.00010662022,0.00028256144,0.00041839023,0.000062536805,0.00048203653,0.00013410662,0.000020409763],"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":[0.0035489625,0.00006632531,0.10320587,0.000005626546,0.00006040186,0.000003477973,0.00043020755,0.000030802054,0.8863903,0.0010962348,0.0011230429,0.0040387316],"study_design_scores_gemma":[0.00029780244,0.00081711815,0.97826225,0.000025571166,0.00001688594,0.00008479825,0.00039527926,0.00003623461,0.01359649,0.0003074677,0.0059903786,0.00016974597],"about_ca_topic_score_codex":0.00048293025,"about_ca_topic_score_gemma":0.016285457,"teacher_disagreement_score":0.8750564,"about_ca_system_score_codex":0.000060781655,"about_ca_system_score_gemma":0.000009030275,"threshold_uncertainty_score":0.9087667},"labels":[],"label_agreement":null},{"id":"W2555863151","doi":"10.1016/j.agrformet.2016.11.011","title":"Large-scale estimation of xylem phenology in black spruce through remote sensing","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Phenology; Normalized Difference Vegetation Index; Growing season; Moderate-resolution imaging spectroradiometer; Xylem; Environmental science; Black spruce; Taiga; Growing degree-day; Physical geography; Boreal; Climatology; Remote sensing; Climate change; Atmospheric sciences; Geography; Ecology; Biology; Geology; Satellite; Botany","score_opus":0.013035487580833172,"score_gpt":0.22228950929582073,"score_spread":0.20925402171498755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555863151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99679935,0.00023818268,0.00072606176,0.0011490282,0.000113519076,0.00010040677,0.000031204767,0.000027479098,0.00081474957],"genre_scores_gemma":[0.99428594,0.00015765807,0.005331049,0.00006203138,0.000037314363,9.132738e-8,0.000026552307,0.000001989856,0.00009736316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898297,0.00013465667,0.00024427846,0.00023243034,0.00008038023,0.0003252924],"domain_scores_gemma":[0.9993316,0.00039745192,0.00010221742,0.00009642997,0.000028145012,0.000044174292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016772652,0.00012270252,0.00024551057,0.000052681244,0.000049019403,0.000007746454,0.00008348068,0.00012306886,0.00010449557],"category_scores_gemma":[0.00010193349,0.00006041519,0.00003441181,0.0001532061,0.00020436021,0.00019031549,0.000022623986,0.000072015486,0.000067623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058364193,0.000032573607,0.725184,0.00007850665,0.00005591984,0.000050427727,0.0027092348,0.0037862223,0.009352795,0.0012472003,0.00018536407,0.25673407],"study_design_scores_gemma":[0.00049798604,0.00020063581,0.9896243,0.00002791391,0.0000136393965,0.000100988065,0.00022215828,0.0037632668,0.0005336138,0.004651727,0.0002551129,0.00010860822],"about_ca_topic_score_codex":0.0017089382,"about_ca_topic_score_gemma":0.02670962,"teacher_disagreement_score":0.2644403,"about_ca_system_score_codex":0.0000044636217,"about_ca_system_score_gemma":0.000008700538,"threshold_uncertainty_score":0.99105036},"labels":[],"label_agreement":null},{"id":"W2560628765","doi":"10.1016/j.agrformet.2016.12.001","title":"Improved modeling of gross primary production from a better representation of photosynthetic components in vegetation canopy","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Enhanced vegetation index; Normalized Difference Vegetation Index; Photosynthetically active radiation; Primary production; Environmental science; Canopy; Vegetation (pathology); Leaf area index; Remote sensing; Atmospheric sciences; Flux (metallurgy); Mean squared error; Photosynthesis; Ecosystem; Mathematics; Ecology; Vegetation Index; Statistics; Geography; Botany; Geology","score_opus":0.012029950756603298,"score_gpt":0.19712957554053814,"score_spread":0.18509962478393485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560628765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986988,0.000038131042,0.00015833483,0.00060619856,0.00013785282,0.00023211786,0.0000038842236,0.000009636909,0.00011506609],"genre_scores_gemma":[0.9984313,0.000025308182,0.0014078192,0.00002519578,0.000033469223,0.000004151137,0.000031098934,0.0000037112204,0.000037935006],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990821,0.00008371086,0.0002877451,0.00028028106,0.0001274293,0.00013875446],"domain_scores_gemma":[0.99962574,0.000055991157,0.00016218111,0.000105184925,0.000022693655,0.000028184893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000823119,0.000103598475,0.00020852723,0.000024742918,0.000026004054,0.0000035221246,0.000071399045,0.000088458626,0.000011367969],"category_scores_gemma":[0.00003870585,0.000051179148,0.00003557627,0.00013001116,0.00013808663,0.00019661145,0.000061587416,0.000056764988,0.0000044307203],"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":[0.00004992454,0.00003125427,0.070520766,0.000009488157,0.000009924884,5.214796e-7,0.00033712134,0.0020180028,0.9239123,0.000004756854,0.000017542872,0.003088398],"study_design_scores_gemma":[0.00038772664,0.00006933767,0.9310334,0.00004342931,0.000020407373,0.000009738611,0.000041612155,0.0039573684,0.0634018,0.00094052363,0.0000058740616,0.00008881467],"about_ca_topic_score_codex":0.0024593608,"about_ca_topic_score_gemma":0.0015894005,"teacher_disagreement_score":0.8605126,"about_ca_system_score_codex":0.00005273994,"about_ca_system_score_gemma":0.0000020298844,"threshold_uncertainty_score":0.37178344},"labels":[],"label_agreement":null},{"id":"W2569099400","doi":"10.1016/j.agrformet.2016.12.018","title":"The use of weather surveillance radar and high-resolution three dimensional weather data to monitor a spruce budworm mass exodus flight","year":2017,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; McGill University; Canadian Forest Service","funders":"Canadian Forest Service","keywords":"Spruce budworm; Environmental science; Air mass (solar energy); Weather radar; Radar; Climatology; Meteorology; Severe weather; Choristoneura fumiferana; Atmospheric sciences; Geography; Storm; Geology; Lepidoptera genitalia; Tortricidae","score_opus":0.021645524285277523,"score_gpt":0.2170807736060629,"score_spread":0.19543524932078538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569099400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966567,0.00022337418,0.000039477585,0.0021976233,0.00036347998,0.0003722884,0.000065766995,0.00001538638,0.000065902495],"genre_scores_gemma":[0.9979466,0.000041907144,0.0011726113,0.00005104258,0.00010662302,0.000019070969,0.000019046043,0.000008529868,0.00063453306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987836,0.00010339761,0.0001999635,0.0004178919,0.00019772709,0.00029741874],"domain_scores_gemma":[0.9987379,0.00028737774,0.0001735914,0.0006776802,0.00001688495,0.000106581596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000347348,0.000174521,0.00023923625,0.000011568281,0.00049119315,0.00008407807,0.0005011832,0.00009968795,0.000028865485],"category_scores_gemma":[0.00015400749,0.00008380824,0.000026078747,0.000050686456,0.0003528686,0.00037595944,0.0007231676,0.00009747117,0.000047346617],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004289116,0.000082306266,0.830292,0.000025034275,0.00016501619,0.000023086748,0.00015248447,0.0003566922,0.12466065,0.0012199794,0.013192157,0.029401707],"study_design_scores_gemma":[0.0002581883,0.00017122134,0.9877773,0.0000098388455,0.000016822347,0.000037317495,0.000005079806,0.0019553825,0.00021069468,0.00017053194,0.009247783,0.0001398727],"about_ca_topic_score_codex":0.0054847538,"about_ca_topic_score_gemma":0.020233903,"teacher_disagreement_score":0.15748529,"about_ca_system_score_codex":0.000026680209,"about_ca_system_score_gemma":0.0000023320988,"threshold_uncertainty_score":0.99764425},"labels":[],"label_agreement":null},{"id":"W2569345207","doi":"10.1016/j.agrformet.2016.12.026","title":"Evaluating an eddy covariance technique to estimate point-source emissions and its potential application to grazing cattle","year":2017,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"University of Melbourne; Commonwealth Scientific and Industrial Research Organisation","keywords":"Environmental science; Eddy covariance; Atmospheric sciences; Greenhouse gas; Wind speed; Atmospheric instability; Point source; Homogeneity (statistics); Meteorology; Statistics; Mathematics; Ecosystem; Geography; Ecology; Physics","score_opus":0.019431016505632778,"score_gpt":0.31716387940990454,"score_spread":0.29773286290427176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569345207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9029067,0.0000971491,0.09209902,0.0040032947,0.00006713399,0.0004676406,0.0000069053117,0.0002534486,0.000098679455],"genre_scores_gemma":[0.97987944,0.000008378379,0.019433655,0.000092745344,0.00009832731,0.00021840817,0.000012671953,0.000011423783,0.00024493813],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99900025,0.00002055121,0.00019155418,0.0003885372,0.00009535144,0.0003037651],"domain_scores_gemma":[0.999283,0.0000523494,0.000084918946,0.00027397656,0.000080306956,0.00022541771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020968886,0.00017511677,0.00023374769,0.00004693783,0.0004871463,0.00007532734,0.00029010375,0.00018406831,0.0000068531554],"category_scores_gemma":[0.0006945706,0.00011518693,0.00002934856,0.00006932243,0.000040462462,0.00023043223,0.00030818768,0.00018447677,0.000012243324],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030928313,0.000012420154,0.00035825104,0.000015717726,0.00001081607,0.0000014485388,0.000074123636,0.007707757,0.96834457,0.0018012401,0.00007062451,0.021572089],"study_design_scores_gemma":[0.0024411546,0.0018068247,0.36195526,0.00028013455,0.00029379744,0.00072192395,0.0005157831,0.25769424,0.35919747,0.008740402,0.004438113,0.0019149075],"about_ca_topic_score_codex":0.00009374813,"about_ca_topic_score_gemma":0.000057842208,"teacher_disagreement_score":0.60914713,"about_ca_system_score_codex":0.00001759274,"about_ca_system_score_gemma":0.000005367821,"threshold_uncertainty_score":0.46971866},"labels":[],"label_agreement":null},{"id":"W2582992192","doi":"10.1016/j.agrformet.2017.01.013","title":"A model for simulating the moisture content of standardized fuel sticks of various sizes","year":2017,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Oklahoma State University","keywords":"Water content; Environmental science; Calibration; Moisture; Ranging; Interception; Precipitation; Soil science; Meteorology; Atmospheric sciences; Statistics; Mathematics; Computer science; Geology; Geography","score_opus":0.021137720801649558,"score_gpt":0.23408856714165685,"score_spread":0.2129508463400073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582992192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997371,0.00010871823,0.0009829251,0.00035764425,0.000090476,0.0005278242,0.000046591063,0.000008065892,0.00050672516],"genre_scores_gemma":[0.998846,0.000009342221,0.000810734,0.000032832868,0.000023895785,0.000034222747,0.0000049018486,0.0000046359387,0.0002334259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992408,0.00004535941,0.00023190078,0.00017415416,0.0001259117,0.00018187227],"domain_scores_gemma":[0.9990524,0.00033377972,0.0003274587,0.00021387264,0.000033846478,0.000038659295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029493376,0.00011546988,0.00030380688,0.000006525309,0.00020815231,0.000017680499,0.000254633,0.00008143602,0.000011279188],"category_scores_gemma":[0.00032131944,0.000051922532,0.000082414015,0.000022174469,0.00032473536,0.000102339036,0.0001614912,0.00006758685,0.0000012236949],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011650826,0.00023956817,0.46091267,0.0005012895,0.00047582027,0.0000055561136,0.0069492245,0.07015028,0.43076316,0.007827964,0.0015133239,0.019496074],"study_design_scores_gemma":[0.0011120187,0.0003650742,0.8598967,0.000015005559,0.000078602825,0.000011338186,0.00011427296,0.13562043,0.00053435884,0.002012704,0.00013204015,0.00010741663],"about_ca_topic_score_codex":0.0011123098,"about_ca_topic_score_gemma":0.0031474764,"teacher_disagreement_score":0.43022877,"about_ca_system_score_codex":0.000017672042,"about_ca_system_score_gemma":0.0000039559336,"threshold_uncertainty_score":0.21173395},"labels":[],"label_agreement":null},{"id":"W2591561596","doi":"10.1016/j.agrformet.2017.02.016","title":"A method to quantify canopy changes using multi-temporal terrestrial lidar data: Tree response to surrounding gaps","year":2017,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Canopy; Lidar; Environmental science; Remote sensing; Tree (set theory); Tree canopy; Biometeorology; Geography; Ecology; Biology; Mathematics","score_opus":0.08185652888714157,"score_gpt":0.3444706032815654,"score_spread":0.26261407439442386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591561596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875956,0.000021674987,0.0055339853,0.0059326915,0.00025463902,0.00041407047,0.00003533166,0.000037192956,0.00017478432],"genre_scores_gemma":[0.89647335,0.000004193844,0.1024911,0.00023012001,0.00021689793,0.000007612243,0.000037420374,0.000010685197,0.00052862585],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99832124,0.00025593667,0.00020214947,0.0006451795,0.0001599384,0.00041556518],"domain_scores_gemma":[0.9987272,0.00016764938,0.00013859342,0.0006761076,0.000011604064,0.0002788569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086299574,0.00020686221,0.0002861158,0.00005223854,0.000806183,0.00018189626,0.0006029311,0.00012364666,0.000018191551],"category_scores_gemma":[0.00027246878,0.00013642084,0.000037973623,0.00014434641,0.00015074683,0.00023447786,0.0008137596,0.00013492459,0.000087989814],"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":[0.0007809707,0.00006671302,0.112647444,0.0000050397357,0.00004406667,0.000026097765,0.0011195935,0.00021678298,0.85409,0.000085523454,0.0010776588,0.029840117],"study_design_scores_gemma":[0.00048460515,0.00022250235,0.9593454,0.000012119154,0.00004536783,0.000102641716,0.00016373953,0.0009344226,0.0016462617,0.000052423427,0.03673218,0.00025831172],"about_ca_topic_score_codex":0.012235031,"about_ca_topic_score_gemma":0.030106714,"teacher_disagreement_score":0.85244375,"about_ca_system_score_codex":0.000068633846,"about_ca_system_score_gemma":0.000011867929,"threshold_uncertainty_score":0.99434257},"labels":[],"label_agreement":null},{"id":"W2592938243","doi":"10.1016/j.agrformet.2017.02.024","title":"Rain exclusion affects cambial activity in adult maritime pines","year":2017,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Tracheid; Xylem; Cambium; Mediterranean climate; Biology; Woody plant; Botany; Ecology","score_opus":0.005250446530243736,"score_gpt":0.19638357894675387,"score_spread":0.19113313241651014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592938243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936039,0.000008829295,0.000006857931,0.0008726146,0.000094791285,0.00012429494,0.000015221632,0.00001366663,0.0052598664],"genre_scores_gemma":[0.9991253,0.000037078094,0.00008363897,0.00005916175,0.00003421503,0.00001427024,0.000035786397,0.0000027318692,0.00060779427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993979,0.000043712822,0.000072207855,0.00020611743,0.00007586664,0.0002042048],"domain_scores_gemma":[0.99972504,0.00003089595,0.00006478537,0.00012053359,0.0000041057974,0.000054632008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078771416,0.00010296847,0.00013127786,0.000015308522,0.00024436845,0.000041195763,0.0001433542,0.00010790591,0.00009379677],"category_scores_gemma":[0.000041273193,0.000062849926,0.000028285547,0.000036314545,0.00012085663,0.0002572786,0.0002784645,0.00011003158,0.00004506303],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000717309,0.00007443954,0.94847673,0.000008929022,0.000010582432,0.000048472233,0.00015555882,0.00070596754,0.035414815,0.0011859798,0.0007902934,0.013056485],"study_design_scores_gemma":[0.00035606546,0.00006645598,0.99457407,0.000006323088,0.000006583515,0.00005267002,0.000004084538,0.003652103,0.00011442548,0.0007864567,0.0002715158,0.00010922874],"about_ca_topic_score_codex":0.0020763183,"about_ca_topic_score_gemma":0.019763157,"teacher_disagreement_score":0.04609734,"about_ca_system_score_codex":0.000027648728,"about_ca_system_score_gemma":0.0000016047132,"threshold_uncertainty_score":0.9981236},"labels":[],"label_agreement":null},{"id":"W2624397964","doi":"10.1016/j.agrformet.2017.05.022","title":"Assessing the suitability of American National Aeronautics and Space Administration (NASA) agro-climatology archive to predict daily meteorological variables and reference evapotranspiration in Sicily, Italy","year":2017,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Centers for Environmental Information; National Aeronautics and Space Administration","keywords":"Evapotranspiration; Environmental science; Meteorology; Wind speed; Relative humidity; Latitude; Longitude; Climatology; Climate change; Air temperature; Geography","score_opus":0.019808140686645773,"score_gpt":0.2616984088851198,"score_spread":0.24189026819847403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624397964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961972,0.000021212563,0.00024140655,0.0019829453,0.000022156262,0.00019215562,0.000037378755,0.0000066376615,0.0012989093],"genre_scores_gemma":[0.9983274,0.000047537203,0.0014645746,0.00007186793,0.000009259212,0.000018336672,0.00004707946,0.0000020091725,0.0000119700635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990859,0.00013070005,0.0002129173,0.0002687817,0.00013141231,0.0001702662],"domain_scores_gemma":[0.9994121,0.0002492238,0.00015487846,0.00010470366,0.000018730994,0.00006031689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037036726,0.00011264812,0.00019399401,0.000021645086,0.00023002374,0.00006854481,0.00012569706,0.00007757073,0.0000073307297],"category_scores_gemma":[0.00014851433,0.00006295418,0.000015021313,0.00006142518,0.0007540198,0.0002785344,0.00014283122,0.00013094126,0.0000010154525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004998433,0.000037547394,0.9752821,0.000007448297,0.000012167997,0.0000021772473,0.00026996937,0.001048249,0.0104361735,0.011501136,0.000008098539,0.0013449781],"study_design_scores_gemma":[0.00017965725,0.0003312336,0.98753166,0.0000046902205,0.0000233394,0.00005738917,0.000082062106,0.0056239064,0.000058485595,0.0059627816,0.000062256695,0.000082539525],"about_ca_topic_score_codex":0.00054965174,"about_ca_topic_score_gemma":0.0070971786,"teacher_disagreement_score":0.012249589,"about_ca_system_score_codex":0.000021310074,"about_ca_system_score_gemma":0.000009906695,"threshold_uncertainty_score":0.39603925},"labels":[],"label_agreement":null},{"id":"W2750737715","doi":"10.1016/j.agrformet.2017.08.015","title":"Patterns and controls of carbon dioxide and water vapor fluxes in a dry forest of central Argentina","year":2017,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Secretaría de Ciencia y Técnica, Universidad de Buenos Aires; Agencia Nacional de Promoción Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas; International Development Research Centre","keywords":"Eddy covariance; Evapotranspiration; Environmental science; Dry season; Carbon dioxide; Atmospheric sciences; Carbon sink; Sink (geography); Carbon cycle; Hydrology (agriculture); Ecosystem; Ecology; Geography","score_opus":0.005346763794096263,"score_gpt":0.1816454179061594,"score_spread":0.17629865411206314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750737715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99928415,0.00006701032,0.0000039716015,0.0001529224,0.000038009875,0.00012932389,0.000020320309,0.0000030665035,0.00030121588],"genre_scores_gemma":[0.99969184,0.00013174294,0.00004106499,0.00001058339,0.000009685075,0.0000068480526,0.000018635477,0.000002497352,0.00008709679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993602,0.00002521788,0.00018020124,0.00016373275,0.00006118517,0.00020946335],"domain_scores_gemma":[0.9997359,0.000022191174,0.000092689195,0.000090289155,0.000004847159,0.000054068347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007926554,0.00009745535,0.00021439383,0.000018522205,0.000054201475,0.000011828707,0.00008040787,0.00007391151,0.000009598139],"category_scores_gemma":[0.000009951114,0.000051077222,0.000022671305,0.000014070081,0.00020682493,0.00010586967,0.00015630625,0.000061219704,3.8775545e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002471487,0.000018177243,0.9694845,0.000011675882,0.000012123123,0.000005380392,0.00020585106,0.00010938469,0.029514167,0.0002028964,9.731186e-7,0.00041015458],"study_design_scores_gemma":[0.0005346852,0.00010411368,0.99598897,0.000009691359,0.000025391646,0.000027388167,0.000026701213,0.0012717445,0.0011899008,0.00071705575,0.000026351374,0.000077984405],"about_ca_topic_score_codex":0.0032833894,"about_ca_topic_score_gemma":0.010250306,"teacher_disagreement_score":0.028324267,"about_ca_system_score_codex":0.000007291363,"about_ca_system_score_gemma":9.583594e-7,"threshold_uncertainty_score":0.5719911},"labels":[],"label_agreement":null},{"id":"W2765100601","doi":"10.1016/j.agrformet.2017.09.017","title":"Assessment of canola crop lodging under elevated temperatures for adaptation to climate change","year":2017,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Canola; Agronomy; Crop; Resistance (ecology); Sowing; Biology; Environmental science; Horticulture","score_opus":0.04556484111334979,"score_gpt":0.2843748905048366,"score_spread":0.2388100493914868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765100601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962261,0.000071430426,0.000007956397,0.0028039224,0.00016606688,0.00041757128,0.000074663716,0.000023416103,0.00020892324],"genre_scores_gemma":[0.9990421,0.000043422388,0.00020536136,0.00027294984,0.000201479,0.00008139335,0.000082277504,7.690068e-7,0.00007022746],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991257,0.00003712193,0.00019412921,0.0002696214,0.00008892017,0.0002844696],"domain_scores_gemma":[0.99945277,0.000114192226,0.00013659486,0.00007332929,0.00013376703,0.00008933127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018254295,0.00013505877,0.00023830304,0.000009497381,0.00053722266,0.00008281527,0.0001882669,0.000100564765,0.000029738785],"category_scores_gemma":[0.000056489815,0.000044329576,0.00007470394,0.00005672337,0.00007406816,0.00015512321,0.000101649115,0.000073688054,0.0000015588456],"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":[0.00022793068,0.00012413286,0.22519647,0.00005707008,0.000062888445,0.0000027294031,0.00052413583,0.000056231725,0.73254097,0.014609896,0.0002899205,0.026307648],"study_design_scores_gemma":[0.00017614309,0.0004038676,0.9965262,0.000013793022,0.000021629927,0.000005275028,0.0003467586,0.00016921699,0.0010689135,0.0005742332,0.00056932925,0.00012463432],"about_ca_topic_score_codex":0.001162118,"about_ca_topic_score_gemma":0.012823367,"teacher_disagreement_score":0.77132976,"about_ca_system_score_codex":0.000009998135,"about_ca_system_score_gemma":0.0000037106086,"threshold_uncertainty_score":0.71557397},"labels":[],"label_agreement":null},{"id":"W2772293365","doi":"10.1016/j.agrformet.2017.11.026","title":"Measured and modelled wind variation over irregularly undulating terrain","year":2017,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; Compute Canada","keywords":"Terrain; Variation (astronomy); Geology; Meteorology; Environmental science; Atmospheric sciences; Geography; Cartography","score_opus":0.0119181949172309,"score_gpt":0.203072980188507,"score_spread":0.1911547852712761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772293365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968635,0.00043301747,0.00008874967,0.00064663595,0.00013907596,0.000114536175,0.000008528986,0.000017684566,0.0016883136],"genre_scores_gemma":[0.9991965,0.000032133517,0.0003030706,0.00009359584,0.00013273134,8.3462254e-7,0.000047592555,0.0000016806338,0.00019182797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993118,0.000043205433,0.00011320847,0.0002257751,0.0000910027,0.00021499519],"domain_scores_gemma":[0.99958694,0.00007472712,0.00011240457,0.00010323571,0.000028283728,0.00009438623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017257947,0.00012048033,0.00016442493,0.000019049914,0.000544174,0.00014878888,0.00010690759,0.00010639757,0.000066226865],"category_scores_gemma":[0.000096188356,0.00006847414,0.000024680638,0.000028918352,0.000109789624,0.00042750745,0.000025418092,0.00008619627,0.0000066341154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011435631,0.00001126598,0.9512139,0.00004862493,0.00007872517,0.000013340103,0.0012969683,0.005770257,0.0009828429,0.0014304185,0.00019520892,0.038844123],"study_design_scores_gemma":[0.00036234275,0.00013224091,0.9423277,0.000009037889,0.000025770238,0.000044665325,0.000037099926,0.05301175,0.0000065515105,0.0038208482,0.00010724975,0.00011479018],"about_ca_topic_score_codex":0.0020859763,"about_ca_topic_score_gemma":0.0044389875,"teacher_disagreement_score":0.047241494,"about_ca_system_score_codex":0.0000014946862,"about_ca_system_score_gemma":0.0000062975078,"threshold_uncertainty_score":0.41854012},"labels":[],"label_agreement":null},{"id":"W2776258568","doi":"10.1016/j.agrformet.2017.11.027","title":"The ALFAM2 database on ammonia emission from field-applied manure: Description and illustrative analysis","year":2017,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Environmental science; Database; Field (mathematics); Ammonia; Manure; Meteorology; Computer science; Mathematics; Chemistry; Geography; Ecology","score_opus":0.012945375453385505,"score_gpt":0.21543373945864044,"score_spread":0.20248836400525494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776258568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997761,0.00008001958,0.000006600895,0.00095503434,0.00004682187,0.0001658657,0.0000117410245,0.000009785178,0.0009631306],"genre_scores_gemma":[0.998613,0.00015544872,0.00036653734,0.00007213398,0.000042975462,0.000021107358,0.000076776,0.0000022184531,0.00064977334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993286,0.000035505083,0.000098442884,0.0002745092,0.00009258848,0.0001703552],"domain_scores_gemma":[0.9995538,0.00007674842,0.00008593499,0.00020396507,0.0000039599163,0.00007558536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006778155,0.00013029769,0.0001380669,0.000010918701,0.00077254063,0.000104548664,0.00014403948,0.00007118218,0.00005551775],"category_scores_gemma":[0.000013103977,0.000056142326,0.00004145692,0.00004194609,0.00019829192,0.00014586488,0.00016142734,0.00008356213,0.00002520984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010786259,0.00017698715,0.66826093,0.000002957099,0.0008506234,0.000043067368,0.0008522055,0.00004770801,0.27352235,0.0012627,0.0048981397,0.04900372],"study_design_scores_gemma":[0.00041008863,0.00019997288,0.9843253,0.0000019487557,0.00015994358,0.0000054565066,0.00010898202,0.00007435454,0.012687324,0.0009095748,0.0010190359,0.00009804269],"about_ca_topic_score_codex":0.0014701198,"about_ca_topic_score_gemma":0.0031920278,"teacher_disagreement_score":0.31606436,"about_ca_system_score_codex":0.0000133419135,"about_ca_system_score_gemma":9.136951e-7,"threshold_uncertainty_score":0.5941836},"labels":[],"label_agreement":null},{"id":"W2782051704","doi":"10.1016/j.agrformet.2018.01.003","title":"Soil autotrophic and heterotrophic respiration respond differently to land-use change and variations in environmental factors","year":2018,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China; Science Fund for Distinguished Young Scholars of Zhejiang Province; National Science Foundation","keywords":"Environmental science; Evergreen; Bamboo; Soil respiration; Soil carbon; Q10; Phyllostachys edulis; Biomass (ecology); Water content; Agronomy; Soil water; Ecology; Respiration; Biology; Soil science; Botany","score_opus":0.028967201394843347,"score_gpt":0.20920926219452068,"score_spread":0.18024206079967733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782051704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983151,0.00013027155,0.0000011887107,0.0011203589,0.00007788708,0.00026859806,0.00004839479,0.000026681713,0.000011524871],"genre_scores_gemma":[0.9990841,0.00011832745,0.0000308136,0.00037849264,0.0001844105,0.00003851377,0.000111617424,0.0000013235069,0.000052359403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903023,0.00011090913,0.00017139589,0.0003375692,0.000090787704,0.00025910238],"domain_scores_gemma":[0.99965036,0.00009882948,0.000051053958,0.00003964711,0.000015838821,0.00014425274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076092605,0.00017297457,0.00019404598,0.000035691526,0.00018153289,0.00006722144,0.00006453745,0.00014402306,0.000020393318],"category_scores_gemma":[0.00003184546,0.00006423864,0.000026964735,0.00015139375,0.00012964456,0.00019291753,0.00011372883,0.000099755525,0.0000041276257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001371144,0.00004619366,0.89425814,0.0000032595287,0.000014887434,0.0000038008545,0.00061998615,0.000003474838,0.09901024,0.000718256,0.000010250911,0.0051743966],"study_design_scores_gemma":[0.00023396325,0.0009584417,0.9972724,0.0000051490606,0.000015404145,0.00001869907,0.000041439926,0.000580066,0.00013443486,0.0003747122,0.0002059081,0.00015938956],"about_ca_topic_score_codex":0.0011335452,"about_ca_topic_score_gemma":0.015451505,"teacher_disagreement_score":0.103014246,"about_ca_system_score_codex":0.000019158133,"about_ca_system_score_gemma":0.0000012494336,"threshold_uncertainty_score":0.86223024},"labels":[],"label_agreement":null},{"id":"W2791576926","doi":"10.1016/j.agrformet.2018.02.017","title":"Ammonia emissions from the field application of liquid dairy manure after anaerobic digestion or mechanical separation in Ontario, Canada","year":2018,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Environment and Climate Change Canada; Wilfrid Laurier University; Agriculture and Agri-Food Canada","funders":"Natural Resources Canada; Agriculture and Agri-Food Canada","keywords":"Manure; Ammonia; Environmental science; Anaerobic digestion; Animal science; Ammoniacal nitrogen; Liquid manure; Manure management; Spring (device); Agronomy; Pulp and paper industry; Chemistry; Environmental engineering; Methane; Wastewater; Biology","score_opus":0.006926228462309023,"score_gpt":0.2189782753102353,"score_spread":0.21205204684792628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791576926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996516,0.00008816792,0.0006257302,0.0024622325,0.00008531948,0.0001276842,0.00000647049,0.00003116345,0.000057244386],"genre_scores_gemma":[0.9991497,0.000009685907,0.00029047453,0.00020885369,0.00006909674,0.000051619285,0.000037019247,0.0000031241086,0.00018043742],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99938416,0.000019435885,0.00020222513,0.00017348207,0.00007342297,0.00014725201],"domain_scores_gemma":[0.9994967,0.00024366945,0.000053108222,0.00013053132,0.00003744205,0.000038535054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004519463,0.000102812555,0.00015999422,0.000014772437,0.00004930268,0.000005369688,0.000122038386,0.00018444161,0.0000884737],"category_scores_gemma":[0.00013393417,0.000048419253,0.000024290734,0.00009497086,0.000039158796,0.000052627518,0.000058169724,0.00020302719,0.0000017362592],"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":[0.0033419046,0.000117236006,0.07809164,0.000028015373,0.00012932984,0.000017306013,0.00094915065,0.00039197673,0.88520205,0.006184617,0.012767674,0.012779132],"study_design_scores_gemma":[0.000654445,0.00054119027,0.93120104,0.000042463944,0.00005746557,0.000012461692,0.00022300801,0.0018716464,0.055488482,0.0011550097,0.008532585,0.00022019599],"about_ca_topic_score_codex":0.6406795,"about_ca_topic_score_gemma":0.98343134,"teacher_disagreement_score":0.8531094,"about_ca_system_score_codex":0.00005226085,"about_ca_system_score_gemma":0.00003310176,"threshold_uncertainty_score":0.36171326},"labels":[],"label_agreement":null},{"id":"W2792947863","doi":"10.1016/j.agrformet.2018.02.024","title":"The wind field in a cattle feedlot: measurements and simulations","year":2018,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Emissions Reduction Alberta","keywords":"Anemometer; Wind speed; Feedlot; Environmental science; Transect; Wind direction; Meteorology; Windbreak; Atmospheric sciences; Geology; Physics; Geography","score_opus":0.01481991201225209,"score_gpt":0.21695363341393345,"score_spread":0.20213372140168137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792947863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961316,0.00078158703,0.0000027757046,0.0014159374,0.00011548715,0.000086320535,0.0000034832317,0.000006718771,0.0014560687],"genre_scores_gemma":[0.9994405,0.000047353165,0.000031917327,0.00024614215,0.0000947536,5.959531e-7,0.000009490798,6.627635e-7,0.00012857576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999533,0.000032824424,0.00008248187,0.000120878496,0.000054771433,0.00017603528],"domain_scores_gemma":[0.9996497,0.00021033002,0.000024507404,0.00004147137,0.000025548152,0.00004846935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010033661,0.00006532569,0.00007425232,0.000014391797,0.000241502,0.000031985943,0.00005867117,0.000049026585,0.00006170746],"category_scores_gemma":[0.000060357575,0.000029679775,0.000009647185,0.00009349603,0.00011789683,0.00008901353,0.000011807491,0.000059208585,0.000019318291],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031765372,0.000003252822,0.98545635,0.0000046213336,0.000009525887,5.7812395e-7,0.00022246256,0.00046469414,0.000037536323,0.00009398561,0.0003997621,0.013275443],"study_design_scores_gemma":[0.00015761417,0.00026509794,0.99561316,0.000003458379,0.0000068968707,0.000018229175,0.00006676596,0.0014158875,0.000039461695,0.0013341467,0.0010247102,0.000054570875],"about_ca_topic_score_codex":0.001006669,"about_ca_topic_score_gemma":0.052757237,"teacher_disagreement_score":0.051750567,"about_ca_system_score_codex":9.59356e-7,"about_ca_system_score_gemma":0.0000049139717,"threshold_uncertainty_score":0.9645275},"labels":[],"label_agreement":null},{"id":"W2793896605","doi":"10.1016/j.agrformet.2018.03.011","title":"AFM special issue – Greenhouse gas and ammonia emissions from livestock production","year":2018,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Greenhouse gas; Environmental science; Livestock; Ammonia; Production (economics); Atomic force microscopy; Chemistry; Forestry; Materials science; Nanotechnology; Geography; Ecology; Biology","score_opus":0.009421035237580908,"score_gpt":0.21129182063108992,"score_spread":0.201870785393509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793896605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941837,0.00037493603,0.000044976947,0.003459127,0.00046852278,0.00013087399,0.000009087419,0.0002616794,0.0010670765],"genre_scores_gemma":[0.99176437,0.00020996958,0.0011578768,0.000058885715,0.0045946506,0.000017889846,0.000019599836,0.0000105619,0.0021662049],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990821,0.000019923653,0.00018063447,0.00036288233,0.00007991168,0.00027458332],"domain_scores_gemma":[0.99954677,0.00007259872,0.000052688414,0.00014784449,0.000057583016,0.00012249686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045792443,0.00018568503,0.00024490478,0.000040231527,0.00017278102,0.000022784407,0.00011478256,0.0002356281,0.0001982754],"category_scores_gemma":[0.0002611327,0.00010862023,0.000037807757,0.00011176544,0.00022953111,0.00012471281,0.00013616565,0.00019626413,0.00005543004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024844895,0.000097824624,0.012112678,0.000029477598,0.00014043147,0.000013892848,0.00095800543,0.000030310894,0.8306243,0.0018991773,0.051095076,0.10275041],"study_design_scores_gemma":[0.0023848321,0.0016453133,0.601254,0.0001147429,0.00031515845,0.00033967698,0.0012076487,0.0014291562,0.103330225,0.015495056,0.2712305,0.0012536917],"about_ca_topic_score_codex":0.00019013665,"about_ca_topic_score_gemma":0.00031230424,"teacher_disagreement_score":0.727294,"about_ca_system_score_codex":0.000012715645,"about_ca_system_score_gemma":0.0000040275195,"threshold_uncertainty_score":0.44294044},"labels":[],"label_agreement":null},{"id":"W2810571593","doi":"10.1016/j.agrformet.2018.06.015","title":"Terrestrial versus aquatic carbon fluxes in a subtropical agricultural floodplain over an annual cycle","year":2018,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Australian Research Council; Commonwealth Scientific and Industrial Research Organisation","keywords":"Environmental science; Carbon sink; Eddy covariance; Carbon cycle; Ecosystem; Floodplain; Wetland; Terrestrial ecosystem; Aquatic ecosystem; Hydrology (agriculture); Ecosystem respiration; Biogeochemistry; Sink (geography); Ecology; Biology; Geography; Geology","score_opus":0.00573616541547612,"score_gpt":0.20405001972629402,"score_spread":0.1983138543108179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810571593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976959,0.000030177136,0.000013661651,0.0001853317,0.000386397,0.00021068366,0.000003304741,0.000038229526,0.0014363187],"genre_scores_gemma":[0.99830794,0.000017513908,0.0009896669,0.000094669216,0.00032184215,0.000022475879,0.000030014267,0.000009359891,0.00020654306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998421,0.00012308062,0.00026859067,0.0004778327,0.00020580005,0.00050367636],"domain_scores_gemma":[0.99953234,0.00006063318,0.00007398473,0.00014304659,0.0000026597884,0.0001873141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093652816,0.0002607656,0.00026651123,0.000009542972,0.00012788802,0.000024047766,0.00020740858,0.00020145302,0.00019120972],"category_scores_gemma":[0.000027751865,0.0001564299,0.000053659798,0.00019680781,0.0006300298,0.00031427376,0.00021876078,0.00019496528,0.000055952045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010833646,0.00041152188,0.97243994,0.0000048705424,0.000060226517,0.000043489006,0.0023352874,0.004751724,0.010174552,0.00041501442,0.00037492736,0.007905097],"study_design_scores_gemma":[0.0016403082,0.0013829864,0.9903537,0.0000031431161,0.00003176532,0.000040314066,0.0006730798,0.0049348446,0.000038156337,0.00030574063,0.0003235423,0.0002724322],"about_ca_topic_score_codex":0.0040249284,"about_ca_topic_score_gemma":0.01600455,"teacher_disagreement_score":0.01791376,"about_ca_system_score_codex":0.00013196137,"about_ca_system_score_gemma":0.0000034608017,"threshold_uncertainty_score":0.8930914},"labels":[],"label_agreement":null},{"id":"W2884162566","doi":"10.1016/j.agrformet.2018.07.006","title":"Quantification of forest canopy changes caused by spruce budworm defoliation using digital hemispherical imagery","year":2018,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Spruce budworm; Canopy; Environmental science; Forestry; Remote sensing; Geography; Tortricidae; Ecology; Lepidoptera genitalia; Biology","score_opus":0.012580982727214475,"score_gpt":0.22416620385302247,"score_spread":0.211585221125808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884162566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99647856,0.000040924402,0.0016660094,0.0005282207,0.000060511964,0.00013533345,0.000014351311,0.000024834408,0.0010512387],"genre_scores_gemma":[0.9987338,0.000014051821,0.00077990524,0.000058080208,0.000081490194,0.0000031043166,0.000079220285,0.000005985766,0.00024431452],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992477,0.00002277452,0.00017020143,0.0002494954,0.000112494105,0.00019731848],"domain_scores_gemma":[0.99959785,0.000047272108,0.0001307812,0.00012400972,0.00003004118,0.00007004003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067039495,0.00011396382,0.00014461408,0.00001302368,0.00014224497,0.000028308617,0.0000835331,0.000088835935,0.000033864537],"category_scores_gemma":[0.000031796444,0.00007587964,0.000029391806,0.00019639885,0.00039361927,0.00014467697,0.000057296602,0.00005750797,0.000037131922],"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":[0.00003131803,0.0000721617,0.13178512,0.000008312463,0.000022786397,6.4120127e-7,0.00030988522,0.0001999624,0.85426384,0.00031170348,0.0028016493,0.010192599],"study_design_scores_gemma":[0.00024097414,0.00020135452,0.9646682,0.000006470991,0.00004179585,0.000044739194,0.00012600313,0.002924461,0.026812863,0.00057980476,0.004147893,0.00020540883],"about_ca_topic_score_codex":0.00085898145,"about_ca_topic_score_gemma":0.0013320178,"teacher_disagreement_score":0.8328831,"about_ca_system_score_codex":0.00003990163,"about_ca_system_score_gemma":0.0000042455877,"threshold_uncertainty_score":0.3094282},"labels":[],"label_agreement":null},{"id":"W2884779156","doi":"10.1016/j.agrformet.2018.07.002","title":"Temporal shifts in controls over methane emissions from a boreal bog","year":2018,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Trent University; Canadian Forest Service; Memorial University of Newfoundland","funders":"Institute for Biodiversity, Ecosystem Science, and Sustainability","keywords":"Eddy covariance; Ecosystem respiration; Environmental science; Growing season; Flux (metallurgy); Peat; Atmospheric sciences; Bog; Boreal; Seasonality; Water table; Ecosystem; Hydrology (agriculture); Ecology; Chemistry; Biology; Geology; Groundwater","score_opus":0.007478647683226476,"score_gpt":0.21999991558147802,"score_spread":0.21252126789825154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884779156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923201,0.00007690111,0.000009248293,0.0011492854,0.00013169367,0.00015005373,0.000022400203,0.000023841007,0.0061164508],"genre_scores_gemma":[0.9985927,0.00002268725,0.00020645511,0.00052597944,0.00018709865,0.00002718382,0.00010919718,0.000004737499,0.00032399417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884593,0.00009588062,0.000218494,0.0003578539,0.0000945402,0.00038728712],"domain_scores_gemma":[0.99952805,0.00012889766,0.00006890911,0.00011309059,0.000006970496,0.00015407945],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013678815,0.00016251081,0.00028863692,0.000026925025,0.000089840825,0.000014483998,0.0001481448,0.00017962795,0.0012421887],"category_scores_gemma":[0.000045108514,0.00009018383,0.000045768942,0.00014171252,0.00030782493,0.00013190531,0.00017489247,0.00014317922,0.00010372849],"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":[0.00010008304,0.00004665735,0.9852595,7.106522e-7,0.000016825037,0.000019336005,0.0003217755,0.0000027372632,0.009004491,0.00019402192,0.0037358415,0.0012980641],"study_design_scores_gemma":[0.001115793,0.00037870635,0.9864013,0.0000031796849,0.000019259278,0.000016448299,0.000035319084,0.00014335608,0.00009562097,0.0037948035,0.007847059,0.00014915354],"about_ca_topic_score_codex":0.008294941,"about_ca_topic_score_gemma":0.053983595,"teacher_disagreement_score":0.045688655,"about_ca_system_score_codex":0.000031802057,"about_ca_system_score_gemma":0.0000050849144,"threshold_uncertainty_score":0.9996708},"labels":[],"label_agreement":null},{"id":"W2896003930","doi":"10.1016/j.agrformet.2018.10.008","title":"Simulating the impacts of climate change on soybean cyst nematode and the distribution of soybean","year":2018,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Climate change; Phenology; Soybean cyst nematode; Environmental science; Global warming; Agronomy; Greenhouse gas; Agriculture; Agroforestry; Biology; Ecology; Nematode","score_opus":0.018368473681744567,"score_gpt":0.22924909867161844,"score_spread":0.21088062498987387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896003930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950982,0.0001474111,0.0000011469982,0.003903898,0.000058090784,0.0002798448,0.000040765546,0.000013624374,0.00045704818],"genre_scores_gemma":[0.99920386,0.0002485485,0.0000021233827,0.00024159891,0.00019745971,0.000016012757,0.000074611075,5.477436e-7,0.000015209721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992576,0.0000963881,0.00022225185,0.00014232511,0.00009840005,0.00018303144],"domain_scores_gemma":[0.9993227,0.00031294828,0.00021507425,0.0000429131,0.000079510806,0.000026827302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002565829,0.00011622175,0.00022769468,0.000005515585,0.00033959787,0.000022193535,0.000107238666,0.000045529054,0.0000123069985],"category_scores_gemma":[0.000047955502,0.00002568247,0.00005235493,0.00016113611,0.00048627454,0.000078145524,0.00014675294,0.000053952175,0.000002290406],"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":[0.0020414917,0.00028786447,0.3584863,0.00027573077,0.00048156423,0.0000043000355,0.0077386764,0.0000072559023,0.13535525,0.44270676,0.0014569834,0.05115783],"study_design_scores_gemma":[0.00035606,0.00037786583,0.99625003,0.000024241264,0.000047563102,0.000007822078,0.0009818375,0.00011872979,0.00052803016,0.0008715127,0.00035987294,0.000076459655],"about_ca_topic_score_codex":0.00012798235,"about_ca_topic_score_gemma":0.00042001207,"teacher_disagreement_score":0.63776374,"about_ca_system_score_codex":0.0000025422814,"about_ca_system_score_gemma":5.0446897e-7,"threshold_uncertainty_score":0.26119465},"labels":[],"label_agreement":null},{"id":"W2909992227","doi":"10.1016/j.agrformet.2019.01.012","title":"Nitrogen depositions increase soil respiration and decrease temperature sensitivity in a Moso bamboo forest","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Q10; Bamboo; Soil respiration; Environmental science; Animal science; Biomass (ecology); Nitrogen; Soil carbon; Productivity; Respiration; Agronomy; Soil water; Chemistry; Soil science; Ecology; Botany; Biology","score_opus":0.005857047297189344,"score_gpt":0.18658815958934366,"score_spread":0.18073111229215433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909992227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978549,0.00034155577,2.4934042e-7,0.0010144297,0.0000641811,0.00034779147,0.0000399549,0.00005216841,0.00028479108],"genre_scores_gemma":[0.99866945,0.0000824903,0.000052444404,0.0006762893,0.00012018736,0.0000324277,0.00029751274,0.0000017169909,0.00006750273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866277,0.00019894927,0.00023207992,0.00042924963,0.00012536107,0.0003515628],"domain_scores_gemma":[0.9993055,0.00024259817,0.00007700392,0.00006305377,0.00007350459,0.00023834799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023272642,0.00023200197,0.00029787337,0.000029340612,0.00016643915,0.00007271498,0.00007270346,0.0002588397,0.000029667957],"category_scores_gemma":[0.000078379686,0.00008911183,0.00007427459,0.0002948303,0.000096928765,0.00021548572,0.000101738195,0.0002273447,0.000014440233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012668406,0.0000622038,0.80696875,0.000009097536,0.00001890765,0.000029341843,0.000049113227,0.00005956691,0.1899772,0.0014375842,0.000039176342,0.0012223688],"study_design_scores_gemma":[0.00044696068,0.00035064327,0.99444765,0.000013778085,0.000031759708,0.000330866,0.00019231715,0.0010882064,0.0006731098,0.002097794,0.0000848507,0.00024206236],"about_ca_topic_score_codex":0.0043470818,"about_ca_topic_score_gemma":0.11258901,"teacher_disagreement_score":0.1893041,"about_ca_system_score_codex":0.000024336641,"about_ca_system_score_gemma":0.0000101291025,"threshold_uncertainty_score":0.9036039},"labels":[],"label_agreement":null},{"id":"W2913205542","doi":"10.1016/j.agrformet.2019.01.031","title":"Modeling canopy conductance and transpiration from solar-induced chlorophyll fluorescence","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars; National Key Research and Development Program of China; Centre National d’Etudes Spatiales; International Cooperation and Exchange Programme; National Natural Science Foundation of China; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung","keywords":"Transpiration; Environmental science; Canopy; Eddy covariance; Stomatal conductance; Canopy conductance; Atmospheric sciences; Biometeorology; Leaf area index; Chlorophyll fluorescence; Sensible heat; Latent heat; Grassland; Vegetation (pathology); Ecosystem; Hydrology (agriculture); Vapour Pressure Deficit; Chlorophyll; Ecology; Photosynthesis; Botany; Meteorology; Geography; Geology; Biology","score_opus":0.007749116662315268,"score_gpt":0.17496797338020265,"score_spread":0.1672188567178874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913205542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988353,0.0000711698,0.00012802097,0.00020364781,0.00009750676,0.00014976601,0.000015641834,0.00002243668,0.00047649725],"genre_scores_gemma":[0.9991406,0.000062407555,0.00048442234,0.000089351015,0.000022392715,0.000007442848,0.000060264643,0.000003833869,0.0001292778],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999303,0.000025215559,0.00013135752,0.00028075418,0.00008489854,0.00017476444],"domain_scores_gemma":[0.9997999,0.00002019513,0.00003148433,0.00007810974,0.0000065337695,0.00006375966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047212012,0.00011687924,0.00013787486,0.000011049452,0.00008084336,0.000024103341,0.00007304646,0.000099858764,0.000076001576],"category_scores_gemma":[0.000003415571,0.000073866286,0.000020599597,0.0000634119,0.000050511786,0.00024416426,0.00004407806,0.000109182714,0.000046443194],"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":[0.00004468235,0.000021370946,0.22141634,0.0000064532132,0.000023933004,0.0000050732738,0.00069044094,0.019458296,0.7540997,0.0011331768,0.000010904616,0.003089615],"study_design_scores_gemma":[0.0005989805,0.00020973441,0.62357724,0.000009794941,0.000040655897,0.000048611106,0.000072405375,0.37094468,0.0014276677,0.0026349062,0.00012249028,0.00031283082],"about_ca_topic_score_codex":0.0013879264,"about_ca_topic_score_gemma":0.0015825917,"teacher_disagreement_score":0.752672,"about_ca_system_score_codex":0.00001842631,"about_ca_system_score_gemma":0.0000023001296,"threshold_uncertainty_score":0.30121797},"labels":[],"label_agreement":null},{"id":"W2914595591","doi":"10.1016/j.agrformet.2019.01.004","title":"Canola yield sensitivity to climate indicators and passive microwave-derived soil moisture estimates in Saskatchewan, Canada","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Canada First Research Excellence Fund; Canola Council of Canada","keywords":"Canola; Environmental science; Water content; Moisture; Precipitation; Yield (engineering); Agronomy; Meteorology; Geography","score_opus":0.0030372995468767538,"score_gpt":0.17109464937615615,"score_spread":0.1680573498292794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914595591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99686,0.000063276944,0.0000039444685,0.0011875746,0.00016099529,0.00023046162,0.0000054222305,0.00001642434,0.0014718632],"genre_scores_gemma":[0.99839354,0.000018359095,0.00034300968,0.001069405,0.000025927126,0.0000021544552,0.000013585924,0.0000072582206,0.0001267551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884427,0.000050971415,0.0001645538,0.00040064278,0.00012019565,0.0004193524],"domain_scores_gemma":[0.99950254,0.00015753463,0.00006719269,0.00010322838,0.000007977234,0.00016151379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080754966,0.00020654565,0.000287988,0.00003361047,0.00010301718,0.000021413984,0.000060733153,0.00014501657,0.000012062827],"category_scores_gemma":[0.000032623666,0.00012750263,0.000024427678,0.00019629467,0.00012251793,0.00007997525,0.00020997538,0.00019475358,0.000016417576],"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":[0.000032694512,0.00001292639,0.8068699,0.000012843322,0.000017901142,0.00007231253,0.0009758024,0.00044414817,0.17684245,0.000012269981,0.0006975663,0.014009163],"study_design_scores_gemma":[0.00020639774,0.00007633404,0.9912924,0.000016532673,0.000017651035,0.00016003428,0.0012353748,0.000054926066,0.006442417,0.000061146886,0.00022480117,0.00021196583],"about_ca_topic_score_codex":0.6385116,"about_ca_topic_score_gemma":0.9956888,"teacher_disagreement_score":0.35717714,"about_ca_system_score_codex":0.00009479386,"about_ca_system_score_gemma":0.000021734166,"threshold_uncertainty_score":0.5199406},"labels":[],"label_agreement":null},{"id":"W2919690626","doi":"10.1016/j.agrformet.2019.02.031","title":"Growth rate rather than growing season length determines wood biomass in dry environments","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China; National Science Foundation","keywords":"Xylem; Growing season; Biomass (ecology); Environmental science; Arid; Carbon sequestration; Plateau (mathematics); Ecosystem; Precipitation; Dry season; Agronomy; Ecology; Carbon dioxide; Biology; Botany; Geography","score_opus":0.0039527841940708176,"score_gpt":0.16802265919424034,"score_spread":0.1640698750001695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919690626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99809396,0.000053242038,0.000009820429,0.00022755608,0.00009639574,0.00017921993,0.0000062900085,0.0000151551,0.0013183588],"genre_scores_gemma":[0.99846023,0.00005006947,0.00009797895,0.000086823165,0.000018739636,0.00001552607,0.000040101004,0.0000066277935,0.0012238964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909,0.00007779953,0.00015557333,0.00029913068,0.00009097676,0.00028647864],"domain_scores_gemma":[0.99974656,0.000042699543,0.000054176166,0.00009129625,0.0000016716012,0.000063574225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012251535,0.00015770574,0.0001699269,0.000030000525,0.000052818035,0.00001899895,0.00012294967,0.000112328984,0.00009898441],"category_scores_gemma":[0.0000057963225,0.00009555003,0.000041475872,0.0001195987,0.00007591026,0.00033149958,0.00013636987,0.000105050596,0.0001986484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015776164,0.00002649242,0.92289704,0.0000036669242,0.0000113920805,0.000009305097,0.0001126946,0.0003623168,0.07584367,0.00024425393,0.0000110402325,0.00046234342],"study_design_scores_gemma":[0.00041767798,0.00009387666,0.9953979,0.0000053113727,0.000013806342,0.00002684787,0.00002835894,0.0020321906,0.00069688354,0.0006150037,0.00050118694,0.0001709276],"about_ca_topic_score_codex":0.00041228073,"about_ca_topic_score_gemma":0.0010906903,"teacher_disagreement_score":0.07514679,"about_ca_system_score_codex":0.000039709168,"about_ca_system_score_gemma":0.0000012820741,"threshold_uncertainty_score":0.3896417},"labels":[],"label_agreement":null},{"id":"W2924122332","doi":"10.1016/j.agrformet.2019.02.037","title":"Simulation of maize evapotranspiration: An inter-comparison among 29 maize models","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Nutrasource","funders":"Bundesministerium für Bildung und Forschung; Foundation for Food and Agriculture Research","keywords":"Evapotranspiration; Environmental science; Crop simulation model; Biometeorology; Eddy covariance; Phenology; Standard deviation; Statistics; Simulation modeling; Mean squared error; Crop; Mathematics; Canopy; Agronomy; Ecology; Geography; Ecosystem; Forestry","score_opus":0.010599522551417589,"score_gpt":0.21020567508628007,"score_spread":0.1996061525348625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924122332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950778,0.000016829703,0.0018540792,0.000048139063,0.00007485442,0.00018731612,0.000008719612,0.000019572513,0.0027126991],"genre_scores_gemma":[0.99919635,0.0000056955514,0.0003259345,0.000028670947,0.000015738686,0.0000064929222,0.00008928723,0.0000038474163,0.0003280026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992617,0.000047037724,0.00022501934,0.00021287904,0.000104374354,0.00014901662],"domain_scores_gemma":[0.9996898,0.000044359836,0.000091531,0.00010658983,0.000011742186,0.00005593847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086587585,0.00010794139,0.00017587308,0.000020475616,0.000043234515,0.00001369382,0.00009873583,0.00010829759,0.00019080604],"category_scores_gemma":[0.0000033449849,0.00006800044,0.000038776743,0.00009247434,0.00008933595,0.00045866906,0.00004403393,0.00008877332,0.000032060867],"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":[0.0000167456,0.000024501422,0.28789136,0.0000035312967,0.0000074195623,3.4144762e-7,0.00025110468,0.70795405,0.0025544083,0.0007351237,0.0000044917037,0.0005569318],"study_design_scores_gemma":[0.00018619662,0.0001674492,0.4347328,0.0000031369273,0.000017660472,0.0000040647355,0.000025371703,0.56300277,0.000055773347,0.001658513,0.00006418438,0.00008207274],"about_ca_topic_score_codex":0.00024004767,"about_ca_topic_score_gemma":0.0010015608,"teacher_disagreement_score":0.14684144,"about_ca_system_score_codex":0.000018725745,"about_ca_system_score_gemma":0.0000014282833,"threshold_uncertainty_score":0.27729774},"labels":[],"label_agreement":null},{"id":"W2944265245","doi":"10.1016/j.agrformet.2019.04.008","title":"Enhanced understory carbon flux components and robustness of net CO2 exchange after thinning in a larch forest in central Japan","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute for Environmental Studies; Université de Montréal","keywords":"Understory; Thinning; Environmental science; Soil respiration; Soil carbon; Larch; Forestry; Botany; Soil science; Soil water; Biology; Geography; Canopy","score_opus":0.006376831660730456,"score_gpt":0.17744188852077428,"score_spread":0.1710650568600438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944265245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99881727,0.00013203609,0.000008060976,0.00008284792,0.000079779944,0.00021598124,0.0000052944456,0.0000061870405,0.0006525656],"genre_scores_gemma":[0.9996198,0.000043941756,0.000058774058,0.000026300759,0.000009544645,0.00001663244,0.000041781026,0.0000039511838,0.00017929288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917644,0.000058853188,0.00017543611,0.00022223243,0.00009049164,0.0002765164],"domain_scores_gemma":[0.99979067,0.00003696413,0.000051869338,0.000066519475,0.0000036099063,0.00005034989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009759749,0.00011535612,0.0002030411,0.000047632766,0.000017641356,0.000007177235,0.00007279267,0.00010888118,0.000039443363],"category_scores_gemma":[0.000003126113,0.000077869605,0.000018947587,0.00012279802,0.000119867924,0.00011133861,0.00012181224,0.0001378563,0.0000026597631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006405596,0.000030299854,0.97058356,0.000018995825,0.0000060873613,0.0000041152152,0.0008661203,0.017324114,0.0108640855,0.00007541155,0.0000030910116,0.00016005122],"study_design_scores_gemma":[0.0005960225,0.00008820455,0.9747115,0.000017882745,0.0000072326725,0.00001761597,0.00011122164,0.024156379,0.000046936202,0.00011250782,0.000024657105,0.00010986008],"about_ca_topic_score_codex":0.0013620969,"about_ca_topic_score_gemma":0.014487893,"teacher_disagreement_score":0.013125797,"about_ca_system_score_codex":0.000050264127,"about_ca_system_score_gemma":0.0000022480804,"threshold_uncertainty_score":0.80845845},"labels":[],"label_agreement":null},{"id":"W2953990055","doi":"10.1016/j.agrformet.2019.107636","title":"Agricultural management practices and environmental drivers of nitrous oxide emissions over a decade for an annual and an annual-perennial crop rotation","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Research Manitoba","keywords":"Agronomy; Perennial plant; Environmental science; Fertilizer; Crop rotation; Nitrous oxide; Greenhouse gas; Crop; Chemistry; Biology","score_opus":0.009230441655245914,"score_gpt":0.2333829466728388,"score_spread":0.22415250501759287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953990055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839187,0.00023649725,0.0000015212428,0.00020941897,0.00007456939,0.00060237816,0.00036954565,0.000032207645,0.000082003564],"genre_scores_gemma":[0.9982094,0.0001945417,0.0005169572,0.00013233576,0.00010602105,0.00003449556,0.0006100866,0.0000021603648,0.000194009],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986741,0.00010865362,0.0002542639,0.0004888137,0.00015812647,0.00031603314],"domain_scores_gemma":[0.9992365,0.0001594289,0.0002823701,0.000057730293,0.00004949048,0.00021445188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014565221,0.0002440385,0.0002918242,0.000023079068,0.00022487229,0.00004864247,0.0001329647,0.00018858023,0.000019756517],"category_scores_gemma":[0.000021164882,0.00009277644,0.00006477702,0.000104493345,0.00016102323,0.00063511275,0.00011562898,0.00011705237,0.0000014179453],"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":[0.000626225,0.000352345,0.43279347,0.000055924156,0.0001931376,0.000006245994,0.0019120364,0.00004220309,0.53565776,0.0020290082,0.0002553818,0.026076268],"study_design_scores_gemma":[0.0007265654,0.0016868974,0.98505896,0.000007941184,0.0001184162,0.000086508684,0.0103352,0.00050218677,0.0004230187,0.00023049649,0.0005629873,0.0002607912],"about_ca_topic_score_codex":0.0006102571,"about_ca_topic_score_gemma":0.002325991,"teacher_disagreement_score":0.5522655,"about_ca_system_score_codex":0.000017913526,"about_ca_system_score_gemma":0.000002636444,"threshold_uncertainty_score":0.37833136},"labels":[],"label_agreement":null},{"id":"W2958190595","doi":"10.1016/j.agrformet.2019.107655","title":"Light interception in experimental forests affected by tree diversity and structural complexity of dominant canopy","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Helsingin Yliopisto","keywords":"Canopy; Interception; Tree canopy; Ecology; Structural complexity; Environmental science; Deciduous; Agroforestry; Atmospheric sciences; Biology; Geology","score_opus":0.008843676914484537,"score_gpt":0.21110586164493694,"score_spread":0.2022621847304524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958190595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998975,0.000049158076,0.0000061821256,0.00018270971,0.000041214582,0.00019773419,0.0000038915027,0.0000075771136,0.00053657265],"genre_scores_gemma":[0.99972427,0.000006267595,0.00013211492,0.00001999777,0.000006799607,0.0000013975408,0.000020861446,0.0000020248767,0.00008625677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994344,0.000043480737,0.00011147226,0.00020357076,0.00006925259,0.00013779792],"domain_scores_gemma":[0.99980634,0.000017997108,0.00005519075,0.000068706526,0.000004515616,0.000047274993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004490456,0.00009366029,0.00015713989,0.000016274904,0.00011270127,0.000005285674,0.00006707826,0.00006162107,0.00006310748],"category_scores_gemma":[0.0000034713325,0.000058101225,0.000022155691,0.00007895646,0.00019598419,0.00008929536,0.00030871062,0.0000658042,0.000008956547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037663147,0.000025270254,0.501869,0.0000037542459,0.0000055022683,4.902136e-7,0.0012558756,0.000013238384,0.49553394,0.0001701105,0.00018388176,0.00090123306],"study_design_scores_gemma":[0.00044916852,0.00017996429,0.9862326,0.0000036054284,0.0000069286825,0.000023738061,0.00024860463,0.0004449227,0.011941592,0.00033289957,0.000053095424,0.00008289721],"about_ca_topic_score_codex":0.002801308,"about_ca_topic_score_gemma":0.0070649786,"teacher_disagreement_score":0.48436356,"about_ca_system_score_codex":0.00003659527,"about_ca_system_score_gemma":8.1047756e-7,"threshold_uncertainty_score":0.42347583},"labels":[],"label_agreement":null},{"id":"W2960137824","doi":"10.1016/j.agrformet.2019.107647","title":"On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mars Exploration Program; Mean squared error; Pan evaporation; Wind speed; Discrete wavelet transform; Relative humidity; Multivariate adaptive regression splines; Coefficient of determination; Correlation coefficient; Wavelet; Environmental science; Statistics; Meteorology; Mathematics; Wavelet transform; Evaporation; Linear regression; Computer science; Geography; Bayesian multivariate linear regression; Artificial intelligence","score_opus":0.007900965922045517,"score_gpt":0.1859478138807081,"score_spread":0.1780468479586626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960137824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598247,0.000006401937,0.0007696658,0.0010862637,0.000020058518,0.00079521246,0.00006706259,0.000022323606,0.0012505663],"genre_scores_gemma":[0.999048,0.0000039756856,0.0005930865,0.00009585611,0.000008177992,0.000071159266,0.000073619536,0.0000047924254,0.00010132768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991861,0.000041910087,0.00017322299,0.00029659714,0.00011814599,0.00018404775],"domain_scores_gemma":[0.9996119,0.00013953049,0.00008036673,0.00010848988,0.000014889426,0.000044831897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021972538,0.00014065442,0.0001852039,0.000010380768,0.00009473523,0.000011851853,0.00008093452,0.00010692672,0.000024738523],"category_scores_gemma":[0.00002749715,0.000057104266,0.000036294074,0.00009548238,0.00028342413,0.00010988799,0.000030182802,0.00011338109,0.00000334184],"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":[0.007990188,0.00066575507,0.25751528,0.00022137183,0.0003110226,0.0000027296899,0.003384599,0.4090683,0.18069892,0.031035522,0.0018277359,0.10727858],"study_design_scores_gemma":[0.0010960457,0.0037972436,0.55787766,0.000016600197,0.0000817391,0.00001698131,0.00012961043,0.39737928,0.0012453654,0.037909828,0.00023082094,0.00021884187],"about_ca_topic_score_codex":0.00014357957,"about_ca_topic_score_gemma":0.00048931834,"teacher_disagreement_score":0.30036235,"about_ca_system_score_codex":0.000029260491,"about_ca_system_score_gemma":0.0000030279198,"threshold_uncertainty_score":0.23286442},"labels":[],"label_agreement":null},{"id":"W2961143162","doi":"10.1016/j.agrformet.2019.107653","title":"Measuring ammonia emissions from vegetable greenhouses with an inverse dispersion technique","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Environmental science; Atmospheric sciences; Greenhouse gas; Greenhouse; Fertilizer; Dispersion (optics); Agronomy; Ecology; Physics","score_opus":0.011381995592859498,"score_gpt":0.175090936963321,"score_spread":0.16370894137046152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961143162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980376,0.0002000264,0.000028842987,0.00011326683,0.000061274215,0.00016711606,0.000019975125,0.000059581955,0.0013123184],"genre_scores_gemma":[0.99595374,0.000038838938,0.0032462622,0.00007979702,0.00008236117,0.000003306358,0.0001610949,0.0000027010606,0.00043191542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920464,0.000037706184,0.00011040977,0.00030124988,0.0001035336,0.00024243996],"domain_scores_gemma":[0.99956006,0.00006623739,0.000056246212,0.00012861863,0.000023224013,0.00016559173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057922593,0.00015240099,0.00018575847,0.000004417023,0.00015037101,0.000030050604,0.00013235462,0.000114308314,0.00058503734],"category_scores_gemma":[0.000008658887,0.00007726055,0.000028812536,0.000103610684,0.00008354119,0.00029570164,0.000018993009,0.00014465244,0.00006386753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009365617,0.000014326714,0.96871954,0.0000101380065,0.00002123054,0.000009546144,0.00009124641,0.00062747084,0.029384758,0.000014236171,0.00005699888,0.00095683587],"study_design_scores_gemma":[0.00029438265,0.00034970854,0.99205816,0.000023038543,0.000027351172,0.00007184803,0.00024239814,0.00033175029,0.0053086085,0.000238021,0.00085795694,0.00019680051],"about_ca_topic_score_codex":0.0046732863,"about_ca_topic_score_gemma":0.009992115,"teacher_disagreement_score":0.024076149,"about_ca_system_score_codex":0.0000030153276,"about_ca_system_score_gemma":0.00001225253,"threshold_uncertainty_score":0.70646423},"labels":[],"label_agreement":null},{"id":"W2963268125","doi":"10.1016/j.agrformet.2019.107665","title":"Landscape-level vegetation classification and fractional woody and herbaceous vegetation cover estimation over the dryland ecosystems by unmanned aerial vehicle platform","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Vegetation (pathology); Environmental science; Random forest; Remote sensing; Herbaceous plant; Machine learning; Computer science; Ecology; Geography","score_opus":0.0087940638894765,"score_gpt":0.20574087759196746,"score_spread":0.19694681370249095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963268125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972577,0.00016766126,0.0002768929,0.0006742929,0.000113225484,0.00033072726,0.000006334241,0.000020710197,0.0011524328],"genre_scores_gemma":[0.99916714,0.000049225513,0.00017485417,0.00009955972,0.000054969114,0.000011785847,0.00014538024,0.0000052738114,0.00029181666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992776,0.00004388084,0.00016044597,0.0002520102,0.00012988434,0.00013616493],"domain_scores_gemma":[0.9996034,0.00012775998,0.00011795019,0.00008544159,0.000013908451,0.000051556563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013287306,0.000114353985,0.000115396,0.000015065807,0.00021723754,0.00006817804,0.000044299373,0.00010768544,0.000032515352],"category_scores_gemma":[0.000014577238,0.00006674534,0.000017395432,0.000085829466,0.000093796014,0.00028101995,0.00003278689,0.0000962838,0.000081016355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004120516,0.00020685648,0.52869344,0.00014531291,0.00018813416,0.0000016959705,0.0039934483,0.015684359,0.36749387,0.0073160315,0.01207918,0.0637856],"study_design_scores_gemma":[0.0005332197,0.00008928957,0.9197232,0.0000057704774,0.000026066475,0.000045858094,0.0000960515,0.07671112,0.00012909807,0.00073869777,0.0017973495,0.00010425587],"about_ca_topic_score_codex":0.00022491007,"about_ca_topic_score_gemma":0.0004679162,"teacher_disagreement_score":0.39102978,"about_ca_system_score_codex":0.000027063215,"about_ca_system_score_gemma":0.0000034152702,"threshold_uncertainty_score":0.2721796},"labels":[],"label_agreement":null},{"id":"W2975644384","doi":"10.1016/j.agrformet.2019.107684","title":"Trends of actual and potential evapotranspiration based on Bouchet’s complementary concept in a cold and arid steppe site of Northeastern Asia","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; McMaster University","funders":"National Key Research and Development Program of China","keywords":"Steppe; Evapotranspiration; Arid; Geography; Climatology; Biometeorology; Environmental science; Physical geography; Ecology; Geology; Biology; Canopy; Archaeology","score_opus":0.0047884273900114065,"score_gpt":0.18116521141063766,"score_spread":0.17637678402062626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975644384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992889,0.000023583707,0.00001790433,0.00017963983,0.000024197227,0.000117780706,0.00007612513,0.0000029899745,0.0002688552],"genre_scores_gemma":[0.9996685,0.000008468674,0.00007703943,0.000055043973,0.0000044581634,0.0000024259505,0.00012966851,0.000001967485,0.00005243992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994535,0.000038254086,0.00016319955,0.00015423779,0.00008564532,0.00010515121],"domain_scores_gemma":[0.9998211,0.000027685623,0.00006648902,0.00004760119,0.000004368516,0.000032719552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056294968,0.00008418799,0.00015624365,0.000037912992,0.000020712405,0.0000049961327,0.000031622287,0.000053645417,0.00007059037],"category_scores_gemma":[9.984018e-7,0.00005418434,0.0000191117,0.00007258796,0.00011444225,0.00009864794,0.00002516848,0.00005691005,0.0000013467935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013331146,0.00005659645,0.9106275,0.000012575134,0.00001362184,0.0000023101536,0.00039728745,0.0220039,0.063856065,0.0003787397,0.0000060855664,0.0025120177],"study_design_scores_gemma":[0.00096020015,0.0005961354,0.96300846,0.000008032256,0.000023578752,0.000010930893,0.000046307425,0.03468567,0.0004924,0.000032396798,0.00006163842,0.00007425622],"about_ca_topic_score_codex":0.0004908452,"about_ca_topic_score_gemma":0.0018417579,"teacher_disagreement_score":0.063363664,"about_ca_system_score_codex":0.000009076674,"about_ca_system_score_gemma":0.0000015617871,"threshold_uncertainty_score":0.22095732},"labels":[],"label_agreement":null},{"id":"W2980196730","doi":"10.1016/j.agrformet.2019.107790","title":"Forest and perennial herbland cover reduce microbial respiration but increase root respiration in agroforestry systems","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","funders":"Agriculture and Agri-Food Canada","keywords":"Windbreak; Environmental science; Agronomy; Soil respiration; Agroforestry; Perennial plant; Soil carbon; Grassland; Soil water; Agricultural land; Agriculture; Ecology; Biology; Soil science","score_opus":0.01027832583520609,"score_gpt":0.2013530178962261,"score_spread":0.19107469206102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980196730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997692,0.00048176103,5.995713e-7,0.0005361257,0.00029277388,0.0005157198,0.000037126098,0.00004327052,0.00040061702],"genre_scores_gemma":[0.99865854,0.000058268164,0.000013771259,0.00015305071,0.00038103884,0.00003468384,0.00026825565,0.0000022595907,0.00043010546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984011,0.00020064705,0.00036623044,0.0004899278,0.0001550682,0.00038704823],"domain_scores_gemma":[0.99939936,0.00016968191,0.00014473825,0.00006987463,0.000076824545,0.00013952186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002801295,0.000253859,0.00034683163,0.000035018566,0.00013770063,0.00012367885,0.00013025769,0.00032917073,0.00002729335],"category_scores_gemma":[0.000057659643,0.0001004758,0.00006294341,0.00023471452,0.00010511812,0.00026640133,0.000102396545,0.00022126586,0.000027066966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004410665,0.00005633516,0.7668349,0.00002742149,0.000020871448,0.000012228622,0.00008486385,0.00025860633,0.2288858,0.0014942352,0.0001593824,0.0017242911],"study_design_scores_gemma":[0.0006892116,0.0006978213,0.9947219,0.000023370376,0.000023810248,0.00016187945,0.00015709769,0.0020169385,0.00026113715,0.00021973379,0.0007566825,0.00027040875],"about_ca_topic_score_codex":0.005958453,"about_ca_topic_score_gemma":0.030451851,"teacher_disagreement_score":0.22862467,"about_ca_system_score_codex":0.00003889904,"about_ca_system_score_gemma":0.000011273776,"threshold_uncertainty_score":0.9872399},"labels":[],"label_agreement":null},{"id":"W2981492453","doi":"10.1016/j.agrformet.2019.107803","title":"Climate change shifts in habitat suitability and phenology of huckleberry (Vaccinium membranaceum)","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"U.S. Geological Survey","keywords":"Climate change; Phenology; Habitat; Range (aeronautics); Ecology; Environmental science; Niche; Greenhouse gas; Geography; Physical geography; Climatology; Biology","score_opus":0.015517827392682221,"score_gpt":0.21955197730929268,"score_spread":0.20403414991661045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981492453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919548,0.0003584667,2.0951825e-7,0.0011047827,0.00012378469,0.0002912946,0.000032202024,0.000016207756,0.006118253],"genre_scores_gemma":[0.99918497,0.0004953383,0.000015968177,0.00019823598,0.00001406287,0.000030011683,0.000029216442,0.000003822819,0.000028367287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989438,0.00007045149,0.00022300184,0.0003222149,0.00008699846,0.00035353104],"domain_scores_gemma":[0.9996307,0.00008540338,0.000081186095,0.00011901305,0.0000094404995,0.000074291405],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018878108,0.0001416215,0.0002901634,0.000027629407,0.000042726297,0.000007646231,0.000101720165,0.00013926077,0.0039043643],"category_scores_gemma":[0.000024328565,0.00009182035,0.000037017377,0.00017007055,0.00022864823,0.00018038254,0.00025909883,0.00010702084,0.00013472803],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056361056,0.000050416857,0.9846908,0.000030328545,0.0000052226965,0.0000015431799,0.00035429388,0.0000019444763,0.009158331,0.0042636194,0.00009812011,0.0012890274],"study_design_scores_gemma":[0.0005460939,0.00018196406,0.99696034,0.000004558799,0.000010292665,0.000014150824,0.0009293111,0.000014264415,0.00017512754,0.00047309737,0.00056987494,0.00012093529],"about_ca_topic_score_codex":0.0005265261,"about_ca_topic_score_gemma":0.009579822,"teacher_disagreement_score":0.012269537,"about_ca_system_score_codex":0.000053015727,"about_ca_system_score_gemma":0.0000011372044,"threshold_uncertainty_score":0.9970062},"labels":[],"label_agreement":null},{"id":"W2981892465","doi":"10.1016/j.agrformet.2019.107780","title":"Mining ecophysiological responses of European beech ecosystems to drought","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Conseil régional du Grand Est; Agence Nationale de la Recherche; European Commission","keywords":"Beech; Evapotranspiration; Environmental science; Ecosystem; Primary production; Precipitation; Climate change; Forest ecology; Productivity; Growing season; Atmospheric sciences; Ecology; Geography; Biology; Meteorology","score_opus":0.007092659730212148,"score_gpt":0.1866600490612543,"score_spread":0.17956738933104216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981892465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908738,0.000017704384,0.000007767021,0.00014600548,0.000084810585,0.00012752812,0.000010229234,0.000015425561,0.00871669],"genre_scores_gemma":[0.9979923,0.0000091535385,0.0004259419,0.00008064792,0.000020957454,0.000004084175,0.000021558191,0.0000031309937,0.0014422633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993118,0.00010708333,0.00015715063,0.00019713085,0.000068816895,0.00015801493],"domain_scores_gemma":[0.99973136,0.00006624564,0.000052485946,0.0000850348,0.000005388511,0.000059459417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000134284,0.00008749816,0.00015494463,0.00001783219,0.000037661193,0.000007619047,0.000112417016,0.00005030022,0.00013984114],"category_scores_gemma":[0.000013609497,0.00004801762,0.00003303941,0.00010186582,0.000044368095,0.0000622438,0.00015731655,0.000052653064,0.00028089434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014126928,0.000051919684,0.6457068,0.000013805195,0.000031422656,0.000013448408,0.00056457665,0.007150969,0.34216717,0.0016213849,0.00068424176,0.0018530226],"study_design_scores_gemma":[0.00013931889,0.00035207003,0.995462,0.0000058648397,0.000008733559,0.00005554333,0.000050082406,0.0007087413,0.00024805247,0.00011461042,0.0027530037,0.00010198753],"about_ca_topic_score_codex":0.00007326132,"about_ca_topic_score_gemma":0.00017934124,"teacher_disagreement_score":0.3497552,"about_ca_system_score_codex":0.000012442509,"about_ca_system_score_gemma":0.0000010099207,"threshold_uncertainty_score":0.3610422},"labels":[],"label_agreement":null},{"id":"W3015803868","doi":"10.1016/j.agrformet.2020.107985","title":"A multiple-temporal scale analysis of biophysical control of sap flow in Salix psammophila growing in a semiarid shrubland ecosystem of northwest China","year":2020,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Vapour Pressure Deficit; Environmental science; Shrubland; Shrub; Leaf area index; Water content; Desertification; Ecosystem; Precipitation; Hydrology (agriculture); Soil water; Atmospheric sciences; Agronomy; Transpiration; Ecology; Geography; Photosynthesis; Botany; Biology; Soil science","score_opus":0.00372412926082555,"score_gpt":0.16940692852910846,"score_spread":0.16568279926828292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015803868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992891,0.000027364094,0.000068379195,0.00020518819,0.000014206477,0.00014890791,0.00019307532,0.0000046662294,0.000049134662],"genre_scores_gemma":[0.9996482,0.0000119645,0.00016738282,0.000019374931,0.000008857401,0.0000073039623,0.00013132898,0.000002729915,0.0000028734535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901515,0.00007994529,0.00042403597,0.00021169127,0.00011444838,0.00015472721],"domain_scores_gemma":[0.9996304,0.00007406316,0.00015845824,0.000070172595,0.000007928845,0.00005900065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010740236,0.00011532542,0.00054950523,0.000077117824,0.000014580784,0.000003217464,0.000110249995,0.000093204704,0.000013059704],"category_scores_gemma":[0.000015775613,0.00007319569,0.00010849673,0.000667366,0.00009651148,0.00012179194,0.00006770714,0.000100276025,9.443253e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007805947,0.000054773453,0.86205953,0.000018113173,0.000071533745,0.0000045114057,0.00046324628,0.1002142,0.036913924,0.000041445903,0.000001182248,0.000079469704],"study_design_scores_gemma":[0.00061492313,0.000111611094,0.7421868,0.000007911536,0.000106042426,0.000003674128,0.000032346372,0.25658563,0.00025864484,0.000022766557,0.000004348426,0.00006534145],"about_ca_topic_score_codex":0.0036072226,"about_ca_topic_score_gemma":0.036897425,"teacher_disagreement_score":0.15637143,"about_ca_system_score_codex":0.000019272824,"about_ca_system_score_gemma":0.0000035065527,"threshold_uncertainty_score":0.9806767},"labels":[],"label_agreement":null},{"id":"W3023226928","doi":"10.1016/j.agrformet.2006.01.005","title":"","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Environmental science; Forestry; Geography","score_opus":0.00604844806423941,"score_gpt":0.19346590307426886,"score_spread":0.18741745501002946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023226928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99430114,0.00093088567,0.000023270386,0.002432704,0.00016185685,0.00043836146,0.000034195844,0.00047747203,0.0012001251],"genre_scores_gemma":[0.99757713,0.000014732711,0.0007847812,0.00029541296,0.00052843575,0.00012742104,0.0002743175,0.00003201236,0.0003657417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968982,0.00025763907,0.00059662154,0.00080631964,0.00027475893,0.0011664613],"domain_scores_gemma":[0.9988324,0.00025240474,0.00023977295,0.0002515605,0.00019139714,0.00023244512],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033444006,0.0005154017,0.00061407895,0.00013510036,0.00047913298,0.000095624244,0.00029648672,0.00028595206,0.000017053926],"category_scores_gemma":[0.0000709737,0.00028130028,0.00015792022,0.0006102354,0.00058436964,0.0006793882,0.00021197474,0.00029491057,0.00016722408],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023957835,0.00016776504,0.64430517,0.000011206794,0.0000689247,0.0000498998,0.00014325196,0.0008368204,0.25311747,0.09739969,0.0032123695,0.0004478402],"study_design_scores_gemma":[0.0018567147,0.0005278882,0.9708391,0.000004173944,0.00011036925,0.0014319773,0.00019658709,0.000054337663,0.002100599,0.02035333,0.0020298678,0.00049507205],"about_ca_topic_score_codex":0.004299384,"about_ca_topic_score_gemma":0.020226097,"teacher_disagreement_score":0.32653388,"about_ca_system_score_codex":0.000049274662,"about_ca_system_score_gemma":0.000009050626,"threshold_uncertainty_score":0.99996394},"labels":[],"label_agreement":null},{"id":"W3026069111","doi":"10.1016/j.agrformet.2020.108025","title":"The paradox of defoliation: Declining tree water status with increasing soil water content","year":2020,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Canadian Forest Service; Natural Resources Canada; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère des Forêts, de la Faune et des Parcs","keywords":"Spruce budworm; Balsam; Choristoneura fumiferana; Water content; Transpiration; Vapour Pressure Deficit; Canopy; Environmental science; Shoot; Soil water; Abies balsamea; Agronomy; Horticulture; Biology; Ecology; Botany; PEST analysis; Tortricidae; Soil science; Photosynthesis","score_opus":0.012959585753077332,"score_gpt":0.17736040737666792,"score_spread":0.1644008216235906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026069111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99714893,0.000041422583,0.000059855178,0.0019084618,0.0000284194,0.000090656526,0.000003898275,0.000012504243,0.0007058395],"genre_scores_gemma":[0.9994536,0.000049001563,0.00017959354,0.00015200513,0.000020909132,0.000007852832,0.000046812005,0.0000032669454,0.00008694152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992687,0.00005781075,0.0001698602,0.00014976718,0.00010005253,0.00025381902],"domain_scores_gemma":[0.9997587,0.00005464606,0.00004215388,0.000055255627,0.000010449453,0.00007874707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104889885,0.000094659605,0.00012657784,0.000005483359,0.00015603345,0.000021256697,0.000077728306,0.0000464513,0.00002804709],"category_scores_gemma":[0.000007520553,0.000030116697,0.000027773349,0.00004078007,0.0001622087,0.000100043944,0.00009346067,0.00007851802,0.000022504331],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049668277,0.00003734622,0.87892133,0.000009058168,0.00010643446,0.000013681203,0.0040702615,0.012501301,0.098239,0.0008464583,0.00007094055,0.004687539],"study_design_scores_gemma":[0.0008344246,0.00065084756,0.9807891,0.00000567121,0.00008549303,0.00012915122,0.0004156786,0.006130402,0.007150092,0.0005881,0.0030137398,0.00020728144],"about_ca_topic_score_codex":0.00046268865,"about_ca_topic_score_gemma":0.0013549261,"teacher_disagreement_score":0.10186782,"about_ca_system_score_codex":0.000012654263,"about_ca_system_score_gemma":0.0000015200778,"threshold_uncertainty_score":0.12281232},"labels":[],"label_agreement":null},{"id":"W3030964527","doi":"10.1016/j.agrformet.2020.108030","title":"Aboveground tree growth is a minor and decoupled fraction of boreal forest carbon input","year":2020,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; University of British Columbia; Global Institute for Water Security; Environment and Climate Change Canada; Wilfrid Laurier University; University of Saskatchewan; Université de Montréal","funders":"ETH Zürich Foundation; Stavros Niarchos Foundation; Canada Research Chairs; Global Water Futures; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Taiga; Biome; Black spruce; Boreal; Environmental science; Eddy covariance; Boreal ecosystem; Ecosystem; Atmospheric sciences; Forest ecology; Biomass (ecology); Ecology; Basal area; Forestry; Physical geography; Geography; Biology; Geology","score_opus":0.006568159280954129,"score_gpt":0.18026992852524487,"score_spread":0.17370176924429073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030964527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952342,0.000085150765,0.000042664815,0.0008428025,0.000026594522,0.00011984801,0.000014399981,0.000015773847,0.0036185912],"genre_scores_gemma":[0.9991647,0.00013174959,0.00029180007,0.00025443916,0.000028906208,0.0000084510775,0.00004390115,0.0000041409126,0.00007188654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930835,0.00002372941,0.00017211796,0.00023393471,0.00009761104,0.00016427926],"domain_scores_gemma":[0.9997071,0.00004021881,0.000086373744,0.000051228257,0.00000983832,0.00010522536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004372499,0.00012481691,0.0001950483,0.000013824094,0.00006153667,0.000016431806,0.000069058005,0.00010913929,0.000024523863],"category_scores_gemma":[0.000013992939,0.000077487406,0.000033468164,0.00012181995,0.00013855877,0.0001319312,0.00008990238,0.00009778664,0.000004238966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006359904,0.000024366966,0.99176544,0.000015032166,0.000031326308,0.000005403805,0.00045065137,0.00010777083,0.0052924636,0.0005196429,0.00024631055,0.0014780188],"study_design_scores_gemma":[0.00034870693,0.00023617917,0.9820067,0.0000025974941,0.00005013408,0.000052107385,0.000056091445,0.015426099,0.00014209357,0.0013536076,0.0002115782,0.0001140505],"about_ca_topic_score_codex":0.003516172,"about_ca_topic_score_gemma":0.0033404788,"teacher_disagreement_score":0.0153183285,"about_ca_system_score_codex":0.000016303902,"about_ca_system_score_gemma":0.0000021952153,"threshold_uncertainty_score":0.53154236},"labels":[],"label_agreement":null},{"id":"W3040560470","doi":"10.1016/j.agrformet.2020.108086","title":"Comparison of energy fluxes between an undisturbed bog and an adjacent abandoned peatland pasture","year":2020,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Bog; Pasture; Peat; Evapotranspiration; Environmental science; Growing season; Hydrology (agriculture); Bowen ratio; Atmospheric sciences; Flux (metallurgy); Sensible heat; Vapour Pressure Deficit; Eddy covariance; Agronomy; Ecology; Ecosystem; Forestry; Geography; Transpiration; Geology; Biology; Botany; Chemistry; Photosynthesis","score_opus":0.018013386605543507,"score_gpt":0.249713675206843,"score_spread":0.23170028860129951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040560470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979703,0.00021582135,0.0000463843,0.0010694091,0.000036072248,0.00009941079,0.00002104626,0.000027467084,0.0005140796],"genre_scores_gemma":[0.9990208,0.000060085156,0.00012970735,0.00024933944,0.00016686703,0.0000089790465,0.00031624877,0.0000060261627,0.000041941865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885005,0.000119533135,0.00025459254,0.00038896975,0.000108921864,0.00027796018],"domain_scores_gemma":[0.999416,0.000061979474,0.00011597027,0.000095779345,0.000010523115,0.0002997757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007126011,0.00019036367,0.00045150047,0.000015907537,0.00012811791,0.000019977026,0.00014947385,0.00015836653,0.0001156315],"category_scores_gemma":[0.000012906685,0.0001102044,0.000036637084,0.00010343851,0.00024687834,0.00018140212,0.0001585557,0.000115382216,0.0000028978825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008304502,0.00006005685,0.9905061,0.0000070807755,0.000028889037,0.00000337455,0.0008104225,0.000046509907,0.00501859,0.00025705976,0.0006701655,0.0025087069],"study_design_scores_gemma":[0.0007671299,0.0018678738,0.9932391,0.0000018518357,0.000066163266,0.000016313661,0.00019926649,0.00023055464,0.00034986084,0.00029179206,0.0027978432,0.00017227509],"about_ca_topic_score_codex":0.0005062613,"about_ca_topic_score_gemma":0.0042803446,"teacher_disagreement_score":0.004668729,"about_ca_system_score_codex":0.000010220889,"about_ca_system_score_gemma":0.000002723166,"threshold_uncertainty_score":0.44940048},"labels":[],"label_agreement":null},{"id":"W3042755493","doi":"10.1016/j.agrformet.2020.108104","title":"Coherent responses of terrestrial C:N stoichiometry to drought across plants, soil, and microorganisms in forests and grasslands","year":2020,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"National Key Research and Development Program of China; Nanjing Forestry University","keywords":"Biogeochemical cycle; Ecosystem; Terrestrial ecosystem; Environmental science; Biomass (ecology); Litter; Microorganism; Grassland; Forest ecology; Agronomy; Ecology; Environmental chemistry; Biology; Chemistry; Bacteria","score_opus":0.01665736936046337,"score_gpt":0.23175750333068237,"score_spread":0.21510013397021902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042755493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969037,0.0006335615,8.8842967e-7,0.001996553,0.00007484844,0.00024115012,0.0000972789,0.000024532485,0.000027483515],"genre_scores_gemma":[0.99919236,0.00017677908,0.000051844356,0.00036362122,0.0001273021,0.000012893844,0.000053166423,0.0000014857466,0.000020534439],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880487,0.00010145229,0.00028056104,0.00037100154,0.00011261433,0.00032948793],"domain_scores_gemma":[0.9993692,0.00026542495,0.00008448185,0.00003326129,0.000021610509,0.00022600216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014916975,0.0001985077,0.00037541392,0.000021726875,0.000095007046,0.000040224662,0.00012576776,0.00016738674,0.0000073350902],"category_scores_gemma":[0.000099825564,0.000074490286,0.000041586343,0.0003194534,0.00011662811,0.00007734788,0.0002049682,0.00013956722,0.0000018559052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009131557,0.00004566532,0.6534511,0.000016968113,0.00003155567,0.000014291954,0.0009549632,0.0000054163406,0.3347364,0.00013117319,0.00018233844,0.009517011],"study_design_scores_gemma":[0.0006589602,0.0011488016,0.99192005,0.00001094467,0.000014265224,0.00007583444,0.0007976444,0.00010854135,0.0045088492,0.00022924396,0.0003396839,0.000187174],"about_ca_topic_score_codex":0.0006294763,"about_ca_topic_score_gemma":0.016657047,"teacher_disagreement_score":0.338469,"about_ca_system_score_codex":0.000007886866,"about_ca_system_score_gemma":0.000004226231,"threshold_uncertainty_score":0.9295023},"labels":[],"label_agreement":null},{"id":"W3047806096","doi":"10.1016/j.agrformet.2020.108109","title":"Partitioning of net ecosystem exchange into photosynthesis and respiration using continuous stable isotope measurements in a Pacific Northwest Douglas-fir forest ecosystem","year":2020,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Daytime; Eddy covariance; Ecosystem respiration; Environmental science; Ecosystem; Atmospheric sciences; Isotopologue; Primary production; Biometeorology; Stable isotope ratio; Canopy; Ecology; Chemistry; Biology; Geology","score_opus":0.017873222582597284,"score_gpt":0.1910713011011102,"score_spread":0.17319807851851293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047806096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890405,0.0001599555,0.00006942403,0.00012435523,0.00005636467,0.00035361847,0.00004379458,0.000016247028,0.0002722037],"genre_scores_gemma":[0.99949634,0.000055439523,0.00027986823,0.000034017972,0.000029681172,0.000032961307,0.000054165972,0.0000063172242,0.000011214236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887985,0.00012329771,0.0003456247,0.00029006487,0.00013876676,0.00022241028],"domain_scores_gemma":[0.9996081,0.00004024929,0.0001668549,0.00007526303,0.000017059265,0.00009247266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002216587,0.00015048901,0.00028856742,0.000035335004,0.00011095575,0.000033603053,0.000078883764,0.00010142174,0.000029336761],"category_scores_gemma":[0.00002165439,0.000105157946,0.00003112532,0.0001988345,0.000048572656,0.0002609181,0.00009610331,0.00008209225,0.0000063401153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045307508,0.000022205324,0.9708975,0.00006875407,0.000018966977,0.0000044286035,0.0007597344,0.007532113,0.020258231,0.00006353142,0.000012750384,0.0003164873],"study_design_scores_gemma":[0.000869928,0.0003675229,0.9288754,0.00008725194,0.00007384307,0.000068710244,0.00040564148,0.06632991,0.0009067684,0.00014966592,0.0015559619,0.0003094192],"about_ca_topic_score_codex":0.0023507075,"about_ca_topic_score_gemma":0.0673342,"teacher_disagreement_score":0.064983495,"about_ca_system_score_codex":0.000058707617,"about_ca_system_score_gemma":0.0000044460876,"threshold_uncertainty_score":0.9496845},"labels":[],"label_agreement":null},{"id":"W3084238955","doi":"10.1016/j.agrformet.2020.108152","title":"Greenhouse gas exchange over a conventionally managed highbush blueberry field in the Lower Fraser Valley in British Columbia, Canada","year":2020,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Greenhouse gas; Eddy covariance; Agroecosystem; Nitrous oxide; Carbon dioxide; Climate change; Agronomy; Ecosystem; Hydrology (agriculture); Agriculture; Atmospheric sciences; Ecology; Biology","score_opus":0.004875666816102679,"score_gpt":0.15955374185941748,"score_spread":0.1546780750433148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084238955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957032,0.00006497336,0.0000034939092,0.0028768557,0.00006398486,0.00017351545,0.000020093592,0.000007925109,0.0010859149],"genre_scores_gemma":[0.9960235,0.0000713554,0.000026803235,0.003254766,0.000026372792,0.00002469405,0.000045735334,0.0000031630773,0.00052364625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992325,0.0000707099,0.00015252856,0.00020693387,0.00013639414,0.00020093822],"domain_scores_gemma":[0.9997823,0.00006791467,0.00003547007,0.000056061897,0.0000034724371,0.00005477333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008159903,0.000072524614,0.00012090911,0.0000067941655,0.00005918323,0.00004711788,0.00014970424,0.000074769996,0.0005803888],"category_scores_gemma":[0.000014802406,0.000060544575,0.000027613854,0.00015988611,0.00004834226,0.000096100484,0.0000907657,0.00017330768,0.000008463322],"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":[0.000016491116,0.000060566064,0.9826418,0.000007737904,0.0000128592455,0.00033720472,0.00022997687,0.00053394114,0.00005177238,0.000079661135,0.014605646,0.0014223143],"study_design_scores_gemma":[0.00041788173,0.00010287881,0.9913653,0.0000050306944,0.000008936381,0.000036327252,0.00006509613,0.0007855115,4.1121834e-7,0.00037589093,0.006733728,0.00010296478],"about_ca_topic_score_codex":0.82487464,"about_ca_topic_score_gemma":0.9988641,"teacher_disagreement_score":0.17398943,"about_ca_system_score_codex":0.000037144186,"about_ca_system_score_gemma":0.000006826788,"threshold_uncertainty_score":0.63548505},"labels":[],"label_agreement":null},{"id":"W3088111653","doi":"10.1016/j.agrformet.2020.108171","title":"Measuring and modelling of apple flower stigma temperature as a step towards improved fire blight prediction","year":2020,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Fire blight; Environmental science; Atmospheric sciences; Orchard; Air temperature; Daylight; Horticulture; Meteorology; Mean radiant temperature; Geography; Biology; Ecology; Climate change; Physics; Erwinia","score_opus":0.026896024654675492,"score_gpt":0.1768243206316428,"score_spread":0.1499282959769673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088111653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99575555,0.0012557978,0.0000061428873,0.0022561483,0.000089700035,0.00024193084,0.00023793317,0.000054065167,0.00010271268],"genre_scores_gemma":[0.9987096,0.00043036396,0.00023238492,0.00016221686,0.00024320786,0.000022109782,0.0001525512,0.0000010424641,0.00004650873],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989922,0.00005510772,0.00023735822,0.00035931243,0.00011197987,0.00024406596],"domain_scores_gemma":[0.9995958,0.00006874848,0.000093784016,0.000028713264,0.000079877966,0.00013303834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089961475,0.00019530482,0.00032828824,0.000006423689,0.00019114855,0.00003113476,0.00010874051,0.0001734115,0.00002186577],"category_scores_gemma":[0.00004162783,0.00006478324,0.00006232622,0.00016812685,0.000087051696,0.00014428535,0.00013487913,0.00014807515,0.000002498768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013956062,0.000022492122,0.0043084263,0.000030501804,0.000071836046,0.0000039523384,0.0003585167,0.000046217672,0.9893641,0.000111264846,0.0002985521,0.005244563],"study_design_scores_gemma":[0.0012091622,0.0024849162,0.94840366,0.00006915968,0.00027082762,0.00033941987,0.0017811324,0.008357931,0.02774946,0.0002695922,0.008305786,0.00075894967],"about_ca_topic_score_codex":0.00016602778,"about_ca_topic_score_gemma":0.0003696559,"teacher_disagreement_score":0.96161467,"about_ca_system_score_codex":0.000006392951,"about_ca_system_score_gemma":0.0000043574005,"threshold_uncertainty_score":0.2641784},"labels":[],"label_agreement":null},{"id":"W3125801579","doi":"10.1016/j.agrformet.2021.108324","title":"The effectiveness of a single Tamarix tree in reducing aeolian erosion in an arid region","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Zabol","keywords":"Windbreak; Wind speed; Aeolian processes; Sediment; Flux (metallurgy); Environmental science; Sediment transport; Arid; Hydrology (agriculture); Dust storm; Erosion; Storm; Geology; Atmospheric sciences; Geomorphology; Agroforestry; Oceanography; Geotechnical engineering","score_opus":0.010626931054910126,"score_gpt":0.20125372607159273,"score_spread":0.1906267950166826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125801579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976214,0.0012451687,0.0000064326255,0.00021189851,0.00012531354,0.0001173572,0.0000019961428,0.00000665161,0.00066376745],"genre_scores_gemma":[0.999676,0.00013516264,0.000043433913,0.000025259764,0.000033682612,0.000003043775,0.000051363233,0.0000013777421,0.000030702933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892956,0.00037732333,0.00016582676,0.00022701916,0.000066519104,0.00023375906],"domain_scores_gemma":[0.9992946,0.0004700389,0.000056205008,0.00008761338,0.000039663544,0.00005189934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035542715,0.000096909294,0.00019270886,0.000032309537,0.000083754516,0.00002614053,0.00009249823,0.00008792508,0.0000085731235],"category_scores_gemma":[0.00009608497,0.000049320945,0.0000274201,0.00029414252,0.000099180535,0.0001958597,0.000018908391,0.000114415314,0.0000021035817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031952185,0.000040812327,0.9609323,0.00007583141,0.0000060148514,0.000056513934,0.0002933082,0.0028832194,0.009905459,0.00038848168,0.000017336979,0.025081197],"study_design_scores_gemma":[0.00035147785,0.0004278322,0.99354637,0.000058373727,0.0000063423595,0.00009270227,0.00023072767,0.0016294093,0.0015666685,0.0019696036,0.000040644012,0.000079823076],"about_ca_topic_score_codex":0.0027932506,"about_ca_topic_score_gemma":0.095309824,"teacher_disagreement_score":0.09251657,"about_ca_system_score_codex":0.000004830842,"about_ca_system_score_gemma":0.000015747546,"threshold_uncertainty_score":0.9211984},"labels":[],"label_agreement":null},{"id":"W3127852364","doi":"10.1016/j.agrformet.2021.108341","title":"Process-based analysis of Thinopyrum intermedium phenological development highlights the importance of dual induction for reproductive growth and agronomic performance","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Agence Nationale de la Recherche","keywords":"Phenology; Agronomy; Biology; Vernalization; Tiller (botany); Ideotype; Perennial plant; Crop; photoperiodism; Botany","score_opus":0.014950832729797758,"score_gpt":0.21201474069245071,"score_spread":0.19706390796265297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127852364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916248,0.00027240795,0.000009925861,0.007718271,0.00011612536,0.00018903163,0.000008920566,0.000014840775,0.00004568779],"genre_scores_gemma":[0.9991757,0.00010548013,0.00023453232,0.0001293292,0.00009590484,0.000048418337,0.00012983824,5.8011165e-7,0.00008019672],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998987,0.000052227562,0.00030478745,0.00040098125,0.00009058998,0.00016442427],"domain_scores_gemma":[0.99942815,0.00007038158,0.00021287591,0.00005984126,0.00019347775,0.000035245383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019575206,0.00012710241,0.00028629779,0.000024292478,0.00016666854,0.000011684791,0.00009284577,0.00008460152,0.000021360645],"category_scores_gemma":[0.000055526303,0.000038735772,0.00006993139,0.00042099156,0.0002902783,0.000088866065,0.0000757724,0.00006971964,2.0713307e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086796604,0.0006526733,0.44562554,0.00030252352,0.0025111972,0.0000035071764,0.0023177464,0.00058126723,0.47769064,0.029571436,0.00044636423,0.039429124],"study_design_scores_gemma":[0.00015216599,0.00028220355,0.9349407,0.0000049085133,0.00020899833,0.000008205281,0.00070024346,0.00006445277,0.06261324,0.00028880642,0.00063753314,0.000098550845],"about_ca_topic_score_codex":0.00002420883,"about_ca_topic_score_gemma":0.0005789446,"teacher_disagreement_score":0.48931515,"about_ca_system_score_codex":0.000007790552,"about_ca_system_score_gemma":0.000010124134,"threshold_uncertainty_score":0.15795991},"labels":[],"label_agreement":null},{"id":"W3128746836","doi":"10.1016/j.agrformet.2021.108327","title":"Shifts in the thermal niche of fruit trees under climate change: The case of peach cultivation in France","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence française pour la biodiversité; Ontario Ministry of Food and Agriculture","keywords":"Phenology; Climate change; Chilling requirement; Frost (temperature); Niche; Dormancy; Geography; Ecology; Environmental science; Biology; Horticulture; Germination; Meteorology","score_opus":0.030876381459987275,"score_gpt":0.24063440121699203,"score_spread":0.20975801975700475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128746836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942013,0.0011415377,1.17520926e-7,0.004249171,0.000033446406,0.00015016494,0.000024503744,0.0000043561813,0.00019541715],"genre_scores_gemma":[0.99913275,0.00032200178,0.000005161774,0.00037048836,0.000057283898,0.00004417181,0.00005202181,3.128904e-7,0.000015787913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910563,0.00027569034,0.0002267036,0.00016154602,0.000058822578,0.00017160815],"domain_scores_gemma":[0.9992419,0.0005364782,0.00011399745,0.000040135168,0.000056225363,0.000011278973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002442482,0.000097754884,0.00020391132,0.000007786076,0.00011435459,0.0000060359953,0.0001183552,0.00008887958,0.0000168527],"category_scores_gemma":[0.000043927397,0.000023836146,0.000046662717,0.00034846528,0.00015306399,0.0000865204,0.00006427465,0.00013161279,9.432835e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007768489,0.0002378933,0.59517443,0.000021975231,0.000043922708,0.000068943664,0.0047631767,0.00007103818,0.36841446,0.017755466,0.000089838686,0.013281155],"study_design_scores_gemma":[0.00017101348,0.00008852274,0.99353456,0.000011934302,0.000010359851,0.00007565851,0.004580944,0.0000126321875,0.0005393569,0.0008229749,0.00009378007,0.000058280115],"about_ca_topic_score_codex":0.000414082,"about_ca_topic_score_gemma":0.015518666,"teacher_disagreement_score":0.3983601,"about_ca_system_score_codex":0.000002959605,"about_ca_system_score_gemma":0.000001953759,"threshold_uncertainty_score":0.865978},"labels":[],"label_agreement":null},{"id":"W3129015940","doi":"10.1016/j.agrformet.2021.108349","title":"Cold acclimation and deacclimation in wild blueberry: Direct and indirect influence of environmental factors and non-structural carbohydrates","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hardiness (plants); Frost (temperature); Botany; Biology; Horticulture; photoperiodism; Cultivar; Meteorology; Geography","score_opus":0.008953356855212256,"score_gpt":0.20221157092508418,"score_spread":0.19325821406987193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129015940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987,0.0007179349,4.563967e-8,0.00032638904,0.000014825995,0.00015207044,0.00003477033,0.000006266447,0.00004768869],"genre_scores_gemma":[0.998957,0.0008375843,0.00003405199,0.000029899806,0.000016165384,0.00001033509,0.00009276269,7.58825e-7,0.000021435673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992002,0.00007383628,0.00019040321,0.0002617229,0.00009780428,0.00017603504],"domain_scores_gemma":[0.9996212,0.00017569792,0.0000764621,0.000024962412,0.000028650762,0.00007302635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008960639,0.00012945234,0.00021354378,0.000018523988,0.00011771335,0.000043569074,0.000042348944,0.00011042884,0.000014340096],"category_scores_gemma":[0.000031271484,0.000050395767,0.00001801979,0.00015880412,0.00015740152,0.00016287532,0.00011055634,0.0000860036,2.562755e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072274024,0.000008384869,0.5584409,0.000007987078,0.000007597627,8.8041566e-7,0.00019739983,0.0000069014172,0.43956578,0.000072611125,0.0000014829869,0.0016827859],"study_design_scores_gemma":[0.00018757345,0.00014666695,0.9825561,0.000010639375,0.000012043524,0.000021221404,0.0005688088,0.00009745075,0.016044196,0.00021428855,0.000033010292,0.00010798911],"about_ca_topic_score_codex":0.00031336982,"about_ca_topic_score_gemma":0.0025413686,"teacher_disagreement_score":0.42411515,"about_ca_system_score_codex":0.000008415727,"about_ca_system_score_gemma":0.0000028462339,"threshold_uncertainty_score":0.20550796},"labels":[],"label_agreement":null},{"id":"W3129218789","doi":"10.1016/j.agrformet.2021.108350","title":"Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":504,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Carleton University; Dalhousie University; Université de Montréal; University of Alberta; University of British Columbia; University of Guelph; Wilfrid Laurier University; McMaster University","funders":"Office of Science; Natural Environment Research Council; Sight Research UK; U.S. Department of Energy","keywords":"Eddy covariance; Environmental science; Flux (metallurgy); Land cover; Footprint; Vegetation (pathology); Atmospheric sciences; Spatial variability; Geography; Land use; Ecosystem; Geology; Statistics; Ecology; Mathematics","score_opus":0.01261424649947249,"score_gpt":0.23016460611069062,"score_spread":0.21755035961121813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129218789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895423,0.00013425214,0.00895894,0.00023418329,0.00010662714,0.00016558058,0.000006674394,0.000014573461,0.0008368704],"genre_scores_gemma":[0.97033226,0.00007362851,0.027219053,0.0001014996,0.000035783974,0.00003627058,0.000052174753,0.000008170847,0.0021411804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897873,0.000058243844,0.00021413066,0.0003698847,0.00011470279,0.00026428758],"domain_scores_gemma":[0.9995133,0.00014041713,0.00011597544,0.0001398695,0.00001274355,0.00007765686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010458171,0.00015081117,0.00025795773,0.0000036888327,0.000115251794,0.000012090542,0.000119478434,0.00008414239,0.00027238642],"category_scores_gemma":[0.0000604909,0.00010601975,0.000080124235,0.0001492395,0.00033791023,0.00014230568,0.0002173371,0.00007134259,0.00001383368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089537585,0.0001174918,0.8454897,0.000034034154,0.000078426085,0.00001302805,0.00036711787,0.02694688,0.11793239,0.002563686,0.0002813851,0.0060863257],"study_design_scores_gemma":[0.00042431612,0.00013423034,0.9894247,0.0000067186647,0.000042418953,0.00007966014,0.00053564523,0.0007950512,0.004706448,0.0024611491,0.0012175813,0.00017209162],"about_ca_topic_score_codex":0.00015040298,"about_ca_topic_score_gemma":0.00020003524,"teacher_disagreement_score":0.143935,"about_ca_system_score_codex":0.000044272067,"about_ca_system_score_gemma":0.0000041630333,"threshold_uncertainty_score":0.43233597},"labels":[],"label_agreement":null},{"id":"W3136444139","doi":"10.1016/j.agrformet.2021.108382","title":"Combining flux variance similarity partitioning with artificial neural networks to gap-fill measurements of net ecosystem production of a Pacific Northwest Douglas-fir stand","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Primary production; Environmental science; Eddy covariance; Ecosystem respiration; Atmospheric sciences; Ecosystem; Flux (metallurgy); Photosynthesis; Statistics; Mathematics; Meteorology; Ecology; Geography; Physics; Botany; Biology; Chemistry","score_opus":0.014832941195617717,"score_gpt":0.19096270490076184,"score_spread":0.17612976370514413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136444139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854434,0.00005045374,0.00038355033,0.00021537926,0.00023397217,0.00018805286,0.000025424924,0.000012749488,0.0003460989],"genre_scores_gemma":[0.99922377,0.000007751331,0.00049862417,0.000015812977,0.00004104214,0.000016558824,0.00012624454,0.0000044253293,0.00006578663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895984,0.00009839423,0.00028293472,0.0002774131,0.00017156392,0.00020986456],"domain_scores_gemma":[0.9995814,0.000026972784,0.0001493348,0.00011644612,0.000056454937,0.000069410264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018011408,0.00012456973,0.0002323124,0.000018307519,0.000119944394,0.00001834815,0.000065713306,0.00007163973,0.0000252619],"category_scores_gemma":[0.000018510205,0.00008149275,0.00003207557,0.0002838665,0.00007963719,0.00014700927,0.00006825803,0.000103433864,0.0000019031147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009306944,0.00007025602,0.6441765,0.000016774913,0.000041354437,0.00000612382,0.0002682721,0.34307116,0.011556901,0.00022961016,0.000051844003,0.00041810743],"study_design_scores_gemma":[0.00032398378,0.00037321396,0.97871166,0.000044192748,0.000081789774,0.00015019311,0.0001729434,0.017887628,0.0017391824,0.00017616869,0.00015068095,0.00018834553],"about_ca_topic_score_codex":0.00016517747,"about_ca_topic_score_gemma":0.0077032796,"teacher_disagreement_score":0.33453518,"about_ca_system_score_codex":0.000029974042,"about_ca_system_score_gemma":0.000006737402,"threshold_uncertainty_score":0.4298611},"labels":[],"label_agreement":null},{"id":"W3165769781","doi":"10.1016/j.agrformet.2021.108467","title":"Trends and patterns in annually burned forest areas and fire weather across the European boreal zone in the 20th and early 21st centuries","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Russian Academy of Sciences; Russian Foundation for Basic Research; Belmont Forum","keywords":"Taiga; Boreal; Environmental science; Climatology; Geography; Climate change; Disturbance (geology); Period (music); Fire regime; Biome; Physical geography; Ecosystem; Ecology; Forestry; Geology","score_opus":0.0049228813133157,"score_gpt":0.1959555079479334,"score_spread":0.1910326266346177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165769781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950605,0.0009873037,7.9933716e-7,0.0023997028,0.000050232968,0.0001781395,0.000027001553,0.000010588451,0.0012857101],"genre_scores_gemma":[0.9990973,0.00036135738,0.000009936692,0.00019921821,0.0000508902,0.00002200023,0.00002133278,0.000007967231,0.00022998397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851406,0.00045919634,0.00019818166,0.00036402082,0.00011892747,0.00034560935],"domain_scores_gemma":[0.99952656,0.00019336492,0.000065319044,0.00013928887,0.0000072889616,0.00006818634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047685893,0.00019086468,0.00022009939,0.000015933432,0.00017524477,0.00012106273,0.00014071653,0.000067733105,0.000012434778],"category_scores_gemma":[0.000030713294,0.00008557119,0.000024418217,0.00019730895,0.00033765784,0.00020300741,0.0002840149,0.00019356818,0.0000032821395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018032122,0.000029271125,0.9713959,0.000010356203,0.000010595555,0.000082856524,0.00523852,0.0000059435947,0.00016861573,0.00010169956,0.00010676464,0.022831433],"study_design_scores_gemma":[0.0005926674,0.00019349984,0.99563485,0.00001715414,0.000013261418,0.00040080227,0.0018640558,0.000070792885,0.000009194514,0.00008121376,0.000987132,0.00013535749],"about_ca_topic_score_codex":0.0057031335,"about_ca_topic_score_gemma":0.098124325,"teacher_disagreement_score":0.09242119,"about_ca_system_score_codex":0.000014660116,"about_ca_system_score_gemma":0.000001676306,"threshold_uncertainty_score":0.9183326},"labels":[],"label_agreement":null},{"id":"W3171159434","doi":"10.1016/j.agrformet.2021.108506","title":"Relative importance of climatic variables, soil properties and plant traits to spatial variability in net CO2 exchange across global forests and grasslands","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; East China Normal University; Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Thousand Young Talents Program of China; National Science Foundation","keywords":"Environmental science; Spatial variability; Evapotranspiration; Grassland; Primary production; Ecosystem; Water content; Atmospheric sciences; Precipitation; Biometeorology; Soil water; Soil texture; Vegetation (pathology); Spatial ecology; Ecology; Soil science; Canopy; Geography; Biology; Mathematics","score_opus":0.008913179481689876,"score_gpt":0.19621832707434148,"score_spread":0.1873051475926516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171159434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983597,0.00024096166,0.00056574115,0.00020520644,0.000034684053,0.00021613012,0.00004460666,0.000007959672,0.00032502078],"genre_scores_gemma":[0.99794227,0.00014370999,0.0016673432,0.0001062034,0.000013112108,0.000026135162,0.000022811138,0.0000040172986,0.00007442346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988572,0.00010244365,0.0002585246,0.00037129235,0.00011107121,0.00029945743],"domain_scores_gemma":[0.99965584,0.00006387865,0.00007979024,0.000079578516,0.0000055608475,0.00011534609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023980933,0.00016802496,0.00029528807,0.0000024738206,0.000080155085,0.000013943045,0.00006565278,0.000119900076,0.000032363216],"category_scores_gemma":[0.000058396592,0.00010590866,0.000021203943,0.0001371383,0.00035375735,0.00015765727,0.00032478856,0.000094186435,0.0000014652999],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071697075,0.000055073364,0.99359256,0.000036152782,0.000015730118,0.0000106918815,0.0009981282,0.0016454704,0.00093728525,0.00038202116,0.000030415733,0.002224778],"study_design_scores_gemma":[0.00046037385,0.0002128562,0.99411875,0.000014698044,0.00002137567,0.000104203944,0.00030905413,0.0020294243,0.000042566004,0.002480874,0.000059404345,0.00014639524],"about_ca_topic_score_codex":0.0012964363,"about_ca_topic_score_gemma":0.025705865,"teacher_disagreement_score":0.024409428,"about_ca_system_score_codex":0.000067241344,"about_ca_system_score_gemma":0.0000047891826,"threshold_uncertainty_score":0.99207246},"labels":[],"label_agreement":null},{"id":"W3173534042","doi":"10.1016/j.agrformet.2021.108511","title":"Characterization of spring thaw and its relationship with carbon uptake for different types of southern boreal forest","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Environment and Climate Change Canada; University of Saskatchewan","funders":"","keywords":"Boreal; Taiga; Spring (device); Environmental science; Ecology; Forestry; Atmospheric sciences; Physical geography; Geography; Biology; Geology","score_opus":0.017405067625476344,"score_gpt":0.18629623553529026,"score_spread":0.16889116790981393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173534042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863803,0.00068867626,0.000034970177,0.0002220861,0.000043831962,0.00011926269,0.00010393262,0.000005512592,0.00014370438],"genre_scores_gemma":[0.9993898,0.000110070934,0.00016092355,0.000013819545,0.000035319263,0.0000032107612,0.00020807526,0.000001434953,0.000077295685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995832,0.00001631301,0.00013620105,0.00011579501,0.000049600316,0.00009889319],"domain_scores_gemma":[0.9996486,0.00011928533,0.00008410656,0.00003747199,0.0000818787,0.000028700342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035515764,0.00007186058,0.00015888392,0.00000920354,0.00006664765,0.0000062312065,0.000026014795,0.000041816074,0.000012311072],"category_scores_gemma":[0.000027242802,0.000038445876,0.00002023447,0.00008109368,0.000044002427,0.00003880611,0.000009568328,0.000032946606,2.5055382e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035057947,0.000006951073,0.9965106,0.000030948722,0.000029494713,3.953618e-7,0.00021998143,0.00009702301,0.00091715093,0.0013115557,0.0000010612265,0.0008397546],"study_design_scores_gemma":[0.00021813253,0.000175459,0.9976616,0.00000997447,0.000052581,0.0000064728,0.0003519828,0.0010478671,0.00014463226,0.0002189459,0.000057077486,0.00005530177],"about_ca_topic_score_codex":0.00068025175,"about_ca_topic_score_gemma":0.031801563,"teacher_disagreement_score":0.031121314,"about_ca_system_score_codex":7.265014e-7,"about_ca_system_score_gemma":0.000006315737,"threshold_uncertainty_score":0.98586553},"labels":[],"label_agreement":null},{"id":"W3177445582","doi":"10.1016/j.agrformet.2021.108509","title":"Integrating continuous atmospheric boundary layer and tower-based flux measurements to advance understanding of land-atmosphere interactions","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate variability and models","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Eddy covariance; FluxNet; Planetary boundary layer; Environmental science; Atmosphere (unit); Flux (metallurgy); Boundary layer; Troposphere; Atmospheric sciences; Sensible heat; Meteorology; Geology; Geography; Physics; Ecosystem; Chemistry","score_opus":0.029948553490605833,"score_gpt":0.2475924299365151,"score_spread":0.21764387644590927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177445582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927726,0.00012911655,0.0029028796,0.0007756272,0.00013355908,0.00014780338,0.0000084012245,0.000018911447,0.0031111438],"genre_scores_gemma":[0.9919508,0.0000141043,0.007398248,0.00027923656,0.000015461455,0.000015071615,0.000017511507,0.000004728388,0.00030485285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991074,0.00006618238,0.00020925954,0.00029566238,0.000113722774,0.00020772355],"domain_scores_gemma":[0.99957985,0.0001248762,0.00007096485,0.00010107421,0.000027320677,0.00009592984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013594456,0.00013020943,0.00022086698,0.0000024468152,0.00015905451,0.00003067493,0.00006395991,0.00005741747,0.0005023902],"category_scores_gemma":[0.00009589,0.00008736251,0.000040187057,0.00017322604,0.00013640359,0.00016801826,0.00013012883,0.00010547451,0.0000070872525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012982734,0.00018634072,0.8412709,0.00004659012,0.000071860224,0.000011810477,0.0011617007,0.01097946,0.13876943,0.0013025219,0.0008618475,0.0052076685],"study_design_scores_gemma":[0.0021806979,0.0010330001,0.9557023,0.00016986682,0.00020184614,0.00022379456,0.0048951213,0.007727413,0.008191623,0.008205994,0.010669511,0.0007988092],"about_ca_topic_score_codex":0.00032823184,"about_ca_topic_score_gemma":0.005648112,"teacher_disagreement_score":0.1305778,"about_ca_system_score_codex":0.00008963261,"about_ca_system_score_gemma":0.000009701516,"threshold_uncertainty_score":0.550082},"labels":[],"label_agreement":null},{"id":"W3181827495","doi":"10.1016/j.agrformet.2021.108528","title":"Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Dalhousie University; University of British Columbia","funders":"Natural Environment Research Council; California Department of Fish and Wildlife; Office of Science; Japan Society for the Promotion of Science; Horizon 2020 Framework Programme; Academy of Finland; National Oceanic and Atmospheric Administration; Sight Research UK; National Institute of Food and Agriculture; Canada Research Chairs; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Department of Water Resources; Board of the Swiss Federal Institutes of Technology; U.S. Department of Energy; California Sea Grant, University of California, San Diego; Gordon and Betty Moore Foundation; Helsingin Yliopisto; U.S. Department of Agriculture; Ministero dell’Istruzione, dell’Università e della Ricerca; Eidgenössische Technische Hochschule Zürich; Eesti Teadusagentuur; National Science Foundation","keywords":"Eddy covariance; Wetland; FluxNet; Environmental science; Machine learning; Artificial intelligence; Meteorology; Computer science; Ecosystem; Ecology","score_opus":0.012287198512115297,"score_gpt":0.21566583351211813,"score_spread":0.20337863500000283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181827495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98697305,0.0009604962,0.010996061,0.00020743799,0.00006702158,0.000089806854,0.000009163918,0.000026671816,0.00067027693],"genre_scores_gemma":[0.9795138,0.0007177696,0.016561868,0.00006196588,0.000021633969,0.000011750641,0.00013511069,0.000008108992,0.0029679802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893725,0.000069133115,0.00025770022,0.00033261112,0.00014732181,0.000255959],"domain_scores_gemma":[0.99959165,0.00007934059,0.00011996982,0.00009766664,0.000008757395,0.000102590755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092800175,0.00017885467,0.0003141286,0.000005662779,0.00022780945,0.000011306181,0.00008087992,0.00012082088,0.00014897465],"category_scores_gemma":[0.000026618645,0.00012247873,0.000049218273,0.00012504646,0.0003870581,0.00012600348,0.00031870665,0.00018497121,0.0000050307444],"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":[0.000029298282,0.00004061101,0.30566534,0.000010677606,0.00003374252,0.0000026150183,0.0005642925,0.68135947,0.01111122,0.00024214914,0.00006508373,0.0008754748],"study_design_scores_gemma":[0.00054259447,0.00027912363,0.26591477,0.00001032013,0.00011112183,0.00012683605,0.0008569753,0.7294898,0.000557579,0.00070235215,0.0011761115,0.00023242449],"about_ca_topic_score_codex":0.0002708779,"about_ca_topic_score_gemma":0.000806399,"teacher_disagreement_score":0.0481303,"about_ca_system_score_codex":0.000057964076,"about_ca_system_score_gemma":0.0000036899582,"threshold_uncertainty_score":0.49945375},"labels":[],"label_agreement":null},{"id":"W3186782562","doi":"10.1016/j.agrformet.2021.108525","title":"Vertical structure heterogeneity in broadleaf forests: Effects on light interception and canopy photosynthesis","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","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":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Interception; Canopy; Leaf area index; Environmental science; Atmospheric sciences; Deciduous; Crown (dentistry); Radiative transfer; Botany; Ecology; Biology; Geology; Physics","score_opus":0.003538711851120923,"score_gpt":0.18316630093480388,"score_spread":0.17962758908368295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186782562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989624,0.000062621555,0.0000074213085,0.00046738633,0.0000684713,0.000096669144,0.0000079984875,0.000011521073,0.00031549556],"genre_scores_gemma":[0.99955744,0.000051965468,0.00008451655,0.00018403874,0.000020246269,0.000009729937,0.000033977325,0.0000035392097,0.00005452554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999262,0.000080648606,0.00011620631,0.00027382802,0.00007674209,0.0001906174],"domain_scores_gemma":[0.99976194,0.00006768234,0.000017458842,0.00007583967,0.000004220733,0.00007285431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003858854,0.000121860496,0.00015131879,0.000019606374,0.000057650286,0.000021399741,0.000049497718,0.00012594285,0.000060489627],"category_scores_gemma":[0.000025340356,0.00007380745,0.000026093543,0.00009720147,0.000062770545,0.00008640631,0.000097341115,0.0001267463,0.000012194971],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005106121,0.000035493074,0.86549836,0.000012422547,0.000017982364,0.000048597547,0.00019807338,0.00043916935,0.12910764,0.00042742342,0.000060118386,0.0041036704],"study_design_scores_gemma":[0.00025837272,0.00012049581,0.9857765,0.000011532244,0.000018366462,0.00016072024,0.000015373706,0.0011214059,0.011379529,0.00080119865,0.00022375945,0.00011276307],"about_ca_topic_score_codex":0.00013067173,"about_ca_topic_score_gemma":0.013440112,"teacher_disagreement_score":0.12027813,"about_ca_system_score_codex":0.000045947723,"about_ca_system_score_gemma":0.0000019227105,"threshold_uncertainty_score":0.74998975},"labels":[],"label_agreement":null},{"id":"W3191078649","doi":"10.1016/j.agrformet.2021.108572","title":"Tracheid development under a drought event producing intra-annual density fluctuations in the semi-arid China","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"Xylem; Tracheid; Arid; Growing season; Precipitation; Woody plant; Environmental science; Biology; Botany; Agronomy; Ecology; Geography","score_opus":0.011480532973122532,"score_gpt":0.21470981960716587,"score_spread":0.20322928663404333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191078649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491817,0.00060734095,0.000054889446,0.0037882524,0.00014245887,0.00015584654,0.000017941828,0.00002232608,0.00029280555],"genre_scores_gemma":[0.99873835,0.0000557246,0.00048805695,0.0002721847,0.00008065245,0.000005764562,0.00019030855,0.0000017142625,0.00016726929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987165,0.00025962878,0.00023516743,0.00031571495,0.00015711374,0.00031591507],"domain_scores_gemma":[0.999456,0.00026842015,0.000056002897,0.000117264724,0.000042739433,0.00005958715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003684483,0.00014550718,0.00018358922,0.00003770523,0.00024644434,0.000048328184,0.00013387634,0.000078334306,0.0001571644],"category_scores_gemma":[0.000120592485,0.00007363711,0.00003897271,0.00028535855,0.00009276792,0.00015343356,0.00002747308,0.00020093781,0.000030022617],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012025617,0.00013927114,0.9456679,0.000045838297,0.00012538893,0.00017093694,0.01417861,0.009040405,0.0023434123,0.0013484325,0.00055618264,0.026263317],"study_design_scores_gemma":[0.00017466246,0.000057303598,0.9959109,0.000007872072,0.000022888298,0.0004719874,0.0012235265,0.000121114535,0.00040099703,0.00077658164,0.00070447306,0.00012770493],"about_ca_topic_score_codex":0.0005425786,"about_ca_topic_score_gemma":0.051364176,"teacher_disagreement_score":0.0508216,"about_ca_system_score_codex":0.000009259012,"about_ca_system_score_gemma":0.00005654072,"threshold_uncertainty_score":0.96594596},"labels":[],"label_agreement":null},{"id":"W3192062110","doi":"10.1016/j.agrformet.2021.108546","title":"A modified two-leaf light use efficiency model for improving the simulation of GPP using a radiation scalar","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"Photosynthetically active radiation; Primary production; Environmental science; Atmospheric sciences; Irradiance; Radiation; Noon; Meteorology; Eddy covariance; Mathematics; Physics; Ecosystem; Botany; Photosynthesis; Optics; Ecology","score_opus":0.014444861324193653,"score_gpt":0.21466664685924766,"score_spread":0.20022178553505401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192062110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95361686,0.000051329647,0.04590261,0.00013014182,0.000041459614,0.00017814136,0.000014380242,0.000008513123,0.00005654222],"genre_scores_gemma":[0.9983925,0.000007326967,0.0013505991,0.000045221703,0.000016774784,0.000009653886,0.00003982822,0.000003308716,0.00013477763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941,0.000037487516,0.00016246634,0.0001728383,0.00007204347,0.00014520362],"domain_scores_gemma":[0.9996818,0.00009624079,0.00008766281,0.00008366751,0.000021950025,0.000028687997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010604839,0.000080265454,0.00010586548,0.000013230031,0.00014399871,0.00002332442,0.00005886542,0.00006311611,0.0000043205673],"category_scores_gemma":[0.00004253265,0.000043499447,0.00004783834,0.00012437456,0.000054555538,0.00018706819,0.000063460284,0.000051832707,8.160629e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012123032,0.000015882279,0.0045401216,0.0000036100703,0.000006145756,3.1322855e-7,0.000222864,0.9381425,0.05521792,0.00081739057,0.0000023564535,0.001018785],"study_design_scores_gemma":[0.0002693618,0.00003109605,0.0313006,0.0000018509588,0.000048124934,0.000016157055,0.000017459037,0.96704423,0.00046772894,0.0007118056,0.000022646891,0.000068912945],"about_ca_topic_score_codex":0.00012377952,"about_ca_topic_score_gemma":0.00022424513,"teacher_disagreement_score":0.054750193,"about_ca_system_score_codex":0.000027291066,"about_ca_system_score_gemma":0.000005957565,"threshold_uncertainty_score":0.1773856},"labels":[],"label_agreement":null},{"id":"W3193917544","doi":"10.1016/j.agrformet.2021.108615","title":"Aerodynamic resistance and Bowen ratio explain the biophysical effects of forest cover on understory air and soil temperatures at the global scale","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Understory; Environmental science; Microclimate; Atmospheric sciences; Forest ecology; Ecology; Canopy; Ecosystem; Geology; Biology","score_opus":0.0023435737637166228,"score_gpt":0.16467110492770162,"score_spread":0.162327531163985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193917544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969422,0.00051483006,0.000008954494,0.0016125109,0.00006408869,0.0001361229,0.00002231373,0.0000070538204,0.00069189136],"genre_scores_gemma":[0.9984093,0.00018976515,0.000017727085,0.00027811754,0.000018552257,0.000012803609,0.00003138866,0.000002613456,0.0010397391],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993116,0.000109685694,0.00010055487,0.0002236325,0.000106955784,0.00014756573],"domain_scores_gemma":[0.9996094,0.0001805676,0.00004881208,0.000111125584,0.0000068793024,0.0000432172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006606798,0.000117525975,0.00013249638,0.0000046891278,0.00024160354,0.0000194057,0.0000722013,0.000068673224,0.000007230442],"category_scores_gemma":[0.000015604184,0.000051103692,0.000031377105,0.00009338079,0.00050201785,0.00006824677,0.00015245279,0.000098118646,0.000004840052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041797207,0.00019450179,0.7996732,0.000131511,0.00019953898,0.000079131365,0.0015929254,0.015066932,0.14282869,0.034966834,0.004261454,0.0005873297],"study_design_scores_gemma":[0.00029504567,0.000096306954,0.9958493,0.000010416944,0.00004068483,0.0000840452,0.00006681517,0.0007405907,0.0005820522,0.0016359764,0.00050531264,0.00009344632],"about_ca_topic_score_codex":0.000090210786,"about_ca_topic_score_gemma":0.0124622155,"teacher_disagreement_score":0.19617613,"about_ca_system_score_codex":0.00004297337,"about_ca_system_score_gemma":0.0000038992334,"threshold_uncertainty_score":0.6954209},"labels":[],"label_agreement":null},{"id":"W3196677416","doi":"10.1016/j.agrformet.2021.108613","title":"Seasonality in aerodynamic resistance across a range of North American ecosystems","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Aeronautics and Space Administration; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Seasonality; Range (aeronautics); Environmental science; Resistance (ecology); Ecosystem; Atmospheric sciences; Geography; Climatology; Ecology; Biology; Geology; Engineering","score_opus":0.004798456962372156,"score_gpt":0.19617249095857414,"score_spread":0.19137403399620198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196677416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989019,0.00009854824,0.000008761997,0.0002127639,0.000035634643,0.000074376665,0.00006833226,0.000008176483,0.00059148116],"genre_scores_gemma":[0.9992703,0.00006669595,0.00015365912,0.000036580066,0.000008447266,0.000010748449,0.00006568113,0.000002428087,0.00038545064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922216,0.000084759886,0.00018242758,0.000214577,0.00009202557,0.0002040396],"domain_scores_gemma":[0.99972236,0.000042601474,0.00008482778,0.000092461596,0.00001065209,0.000047097987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009968114,0.000087701104,0.00020330043,0.000004621888,0.00004293237,0.000007971007,0.00007769105,0.00003234571,0.00001366002],"category_scores_gemma":[0.000014132534,0.000057604266,0.000035701793,0.00031121343,0.00016134253,0.000074743075,0.000095334086,0.00008382047,0.0000080772425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015885329,0.000024447614,0.9978327,0.000008109977,0.000008294104,0.000014831864,0.00014465612,0.00080034306,0.00044446386,0.00014512266,0.000023545312,0.00053759577],"study_design_scores_gemma":[0.00018654343,0.000025175703,0.99840707,0.000004303775,0.0000076287592,0.00003724458,0.000044574408,0.0007313391,0.000010774132,0.000096290576,0.0003659086,0.00008314867],"about_ca_topic_score_codex":0.0010344088,"about_ca_topic_score_gemma":0.48226357,"teacher_disagreement_score":0.48122916,"about_ca_system_score_codex":0.000037231293,"about_ca_system_score_gemma":0.0000034625002,"threshold_uncertainty_score":0.5271838},"labels":[],"label_agreement":null},{"id":"W3203343431","doi":"10.1016/j.agrformet.2021.108656","title":"Measurement of low sap flux density in plants using the single needle heat pulse probe","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Heat flux; Flux (metallurgy); Pulse (music); Materials science; Environmental science; Sensitivity (control systems); Analytical Chemistry (journal); Mechanics; Chemistry; Physics; Heat transfer; Optics; Electronic engineering; Chromatography","score_opus":0.014571640790632907,"score_gpt":0.1869167727072649,"score_spread":0.17234513191663198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203343431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99895144,0.00014603055,0.00006238099,0.00020070448,0.000053457683,0.00009867913,0.0000047982135,0.0000048345764,0.00047769336],"genre_scores_gemma":[0.99962276,0.000016067934,0.00020533912,0.000054627515,0.000010760708,0.000003389938,0.000016483104,0.000001992822,0.00006858266],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999339,0.0000663265,0.00014640903,0.00015005333,0.00013493876,0.00016331134],"domain_scores_gemma":[0.99982756,0.000016774862,0.000032903747,0.000077001525,0.000013427318,0.000032313455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013662488,0.0000803941,0.0001271036,0.00001091043,0.000065652974,0.00001047383,0.00006545154,0.00005885961,0.00003796985],"category_scores_gemma":[0.000012895843,0.00004171136,0.000027904242,0.00011814749,0.00008804947,0.00007099327,0.00010645287,0.00008034269,0.0000045556944],"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":[0.000021391283,0.000111375615,0.33578983,0.000009904957,0.000018949662,0.000021057955,0.0003717358,0.011609957,0.6511083,0.00013386525,0.000037256683,0.0007663712],"study_design_scores_gemma":[0.00023077833,0.000053576096,0.9820808,0.00001699542,0.000018078712,0.0002357032,0.00011897511,0.005148962,0.011529751,0.00041270597,0.000060489165,0.00009314273],"about_ca_topic_score_codex":0.0005676178,"about_ca_topic_score_gemma":0.006276051,"teacher_disagreement_score":0.646291,"about_ca_system_score_codex":0.000054968797,"about_ca_system_score_gemma":0.0000049786486,"threshold_uncertainty_score":0.3502184},"labels":[],"label_agreement":null},{"id":"W3210444381","doi":"10.1016/j.agrformet.2021.108668","title":"Unraveling uncertainty drivers of the maize yield response to nitrogen: A Bayesian and machine learning approach","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Mathematics; Zea mays; Crop yield; Bayesian probability; Grain yield; Yield (engineering); Statistics; Predictability; Fertilizer; Agronomy; Biology; Physics","score_opus":0.015824041245228897,"score_gpt":0.19411383054419581,"score_spread":0.1782897892989669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210444381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99531037,0.00034221157,0.0000076438355,0.003842525,0.000056989596,0.00013859088,0.000018665249,0.000019651015,0.00026336068],"genre_scores_gemma":[0.9991569,0.0000464923,0.00011872468,0.0003036935,0.00005267595,0.000007978599,0.00002162553,6.759217e-7,0.00029123764],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998875,0.0002604823,0.00019139808,0.000317708,0.00011439246,0.00024101237],"domain_scores_gemma":[0.99928856,0.00039639007,0.000063203566,0.0000570157,0.000081972365,0.00011283536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002769979,0.00014077919,0.00023569538,0.000007651254,0.00028601664,0.000030159012,0.000134459,0.00011860908,0.000051573043],"category_scores_gemma":[0.0003297783,0.000041513074,0.00009142055,0.00028030376,0.00011998357,0.000043425134,0.00022412356,0.00019718366,0.0000010494365],"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":[0.0006394677,0.000082278624,0.35322478,0.000022447426,0.00006086857,0.000008752633,0.0010557217,0.0003728576,0.6295778,0.00077047606,0.000096664065,0.014087908],"study_design_scores_gemma":[0.00015172512,0.00024440457,0.99265265,0.000011763808,0.000029424666,0.00008847883,0.0013371852,0.00027131813,0.0028974402,0.00050850725,0.0016678574,0.0001392422],"about_ca_topic_score_codex":0.00056566764,"about_ca_topic_score_gemma":0.0027776817,"teacher_disagreement_score":0.6394279,"about_ca_system_score_codex":0.000009673901,"about_ca_system_score_gemma":0.0000074379195,"threshold_uncertainty_score":0.21998377},"labels":[],"label_agreement":null},{"id":"W3212153854","doi":"10.1016/j.agrformet.2021.108711","title":"Dynamic simulation for predicting warning and action thresholds: A novelty for strawberry powdery mildew management","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Powdery Mildew Fungal Diseases","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Powdery mildew; Novelty; Computer science; Environmental science; Agronomy; Biology; Psychology","score_opus":0.024853696871734412,"score_gpt":0.2610538031742361,"score_spread":0.23620010630250168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212153854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965329,0.0010323786,0.00028639945,0.0009851649,0.000172108,0.00069946103,0.00014632786,0.000071801944,0.00007346856],"genre_scores_gemma":[0.99729097,0.00019418224,0.0010435386,0.00020056122,0.00015948163,0.00016456745,0.00064815726,0.000001954373,0.00029657202],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99882543,0.000045393528,0.0002330152,0.00045536403,0.00009452158,0.00034624734],"domain_scores_gemma":[0.99906576,0.00057329313,0.000106789696,0.000039121664,0.0001088096,0.00010623732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001291812,0.0001882048,0.00022041726,0.000013491333,0.00040281808,0.000071093884,0.00007282824,0.00013343063,0.000016142123],"category_scores_gemma":[0.000097029806,0.000076417455,0.00010641611,0.0001334013,0.000053721953,0.00022702865,0.00008470801,0.00007505136,9.837199e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014525264,0.0004989657,0.1615396,0.0007787341,0.0007332805,0.000024381094,0.00045506295,0.0052949367,0.4436886,0.0064322567,0.0011405927,0.37796107],"study_design_scores_gemma":[0.0008099836,0.0003882394,0.9844864,0.000031442385,0.00015716946,0.000044510056,0.0008507059,0.0073186643,0.00024034173,0.002390617,0.003042386,0.00023955881],"about_ca_topic_score_codex":0.000025261717,"about_ca_topic_score_gemma":0.000986372,"teacher_disagreement_score":0.8229468,"about_ca_system_score_codex":0.000021327362,"about_ca_system_score_gemma":0.000004057703,"threshold_uncertainty_score":0.31162134},"labels":[],"label_agreement":null},{"id":"W3217240078","doi":"10.1016/j.agrformet.2021.108734","title":"Assessing the effects of end-members determination on regional latent heat flux simulation in trapezoidal framework based model","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Shenzhen Science and Technology Innovation Program; National Key Research and Development Program of China; China Postdoctoral Science Foundation; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Latent heat; Flux (metallurgy); Heteroscedasticity; End-to-end principle; Environmental science; Vegetation (pathology); Mathematics; Statistics; Computer science; Physics; Meteorology; Chemistry; Artificial intelligence","score_opus":0.010299909690141414,"score_gpt":0.2351092376488729,"score_spread":0.2248093279587315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217240078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973744,0.000028609571,0.0017440916,0.00044462722,0.00005005828,0.000099896104,0.0000018875953,0.0000064753426,0.00024993182],"genre_scores_gemma":[0.9989157,0.000009400192,0.00073581585,0.00020637434,0.00000994659,0.000010178535,0.000052244108,0.0000025556553,0.000057822093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993815,0.000083765655,0.00013412048,0.00015814485,0.00012242445,0.0001200876],"domain_scores_gemma":[0.9994721,0.00038781896,0.000040418832,0.000065847475,0.000008482188,0.0000253407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000830787,0.00008210302,0.000101474114,0.000018673318,0.000066147695,0.000017141332,0.000049941566,0.000098544406,0.000022222304],"category_scores_gemma":[0.000034645618,0.000045156525,0.000037103546,0.00013056399,0.000073733805,0.00012172981,0.000027067386,0.00012078851,0.000001980891],"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":[0.000007669786,0.000038089758,0.03555498,0.0000073391184,0.0000040044915,0.0000058053206,0.00014904061,0.95240074,0.009683714,0.0005188542,0.0000052952937,0.0016244844],"study_design_scores_gemma":[0.00013613171,0.000038264614,0.44173908,0.000013772479,0.000010757891,0.0000070653573,0.000009400173,0.5564985,0.000347204,0.0011466885,0.000009940795,0.000043143136],"about_ca_topic_score_codex":0.000043120264,"about_ca_topic_score_gemma":0.00030725755,"teacher_disagreement_score":0.4061841,"about_ca_system_score_codex":0.000035607976,"about_ca_system_score_gemma":0.000004963856,"threshold_uncertainty_score":0.18414296},"labels":[],"label_agreement":null},{"id":"W4200287140","doi":"10.1016/j.agrformet.2021.108776","title":"An in situ real time probe spacing correction method for multi-needle heat pulse sap flow sensors","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Calibration; Flow (mathematics); Heat flux; Root mean square; Flux (metallurgy); Mechanics; Observational error; Environmental science; Materials science; Mathematics; Physics; Heat transfer; Statistics","score_opus":0.00855556005124574,"score_gpt":0.22691342732080313,"score_spread":0.2183578672695574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200287140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954104,0.000016344293,0.0032092817,0.00017205405,0.00014190353,0.00021595824,0.000014266767,0.000029809216,0.00079002685],"genre_scores_gemma":[0.9454369,0.00003698477,0.052460324,0.000058562517,0.00004339797,0.00003904343,0.00031882088,0.000007371976,0.0015985926],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911094,0.000111616115,0.00015969195,0.00030860447,0.00006470345,0.00024445358],"domain_scores_gemma":[0.9997376,0.000062785875,0.000030640964,0.00008142246,0.000012811751,0.000074732416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016703944,0.00012314049,0.00017806375,0.000024000214,0.00010123881,0.000024332145,0.000052032778,0.00012760916,0.00005058327],"category_scores_gemma":[0.000019927582,0.000081914266,0.000042927895,0.00015441165,0.000040454044,0.00018387672,0.000047990547,0.00010248111,0.00002021859],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006384498,0.00013748003,0.059164796,0.000008442317,0.000021158383,0.000023727229,0.00089590147,0.09998708,0.83299613,0.00013252249,0.00014244106,0.0064264475],"study_design_scores_gemma":[0.00046641706,0.0001485367,0.4000096,0.000005132947,0.000027352706,0.000272391,0.00011684531,0.59508127,0.0033608198,0.00020122713,0.0001464227,0.00016396375],"about_ca_topic_score_codex":0.00085088576,"about_ca_topic_score_gemma":0.009109018,"teacher_disagreement_score":0.8296353,"about_ca_system_score_codex":0.000056426336,"about_ca_system_score_gemma":0.000003869203,"threshold_uncertainty_score":0.5083046},"labels":[],"label_agreement":null},{"id":"W4205147913","doi":"10.1016/j.agrformet.2021.108805","title":"Carbon and water dynamics of a perennial versus an annual grain crop in temperate agroecosystems","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"","keywords":"Perennial plant; Agronomy; Environmental science; Eddy covariance; Growing season; Temperate climate; Agroecosystem; Ecosystem; Crop; Biology; Agriculture; Ecology","score_opus":0.005052910228308195,"score_gpt":0.1842677598888642,"score_spread":0.179214849660556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205147913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989593,0.00003088867,8.964082e-7,0.0002091553,0.00015396386,0.00012766417,0.00008108977,0.000009780808,0.00042724516],"genre_scores_gemma":[0.99953574,0.000013627872,0.00002767365,0.000014696076,0.0000136505005,0.000025033873,0.00018253976,0.0000040303125,0.00018298636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991612,0.0001221013,0.00017842445,0.00022327702,0.000103329876,0.0002116544],"domain_scores_gemma":[0.99981415,0.000017285489,0.000040480394,0.00006788003,0.0000052001374,0.000055003584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016526773,0.00010784055,0.00016805436,0.000035788205,0.00010067191,0.00000980019,0.00009130406,0.000057393292,0.000048467507],"category_scores_gemma":[0.0000030387919,0.000063324995,0.000020011701,0.00009216264,0.00010518325,0.00010343163,0.00022071984,0.00013461916,0.0000012629785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006711177,0.00020855265,0.92067695,0.000022440607,0.000057885893,0.00005362494,0.0066682366,0.028692678,0.037608102,0.00323938,0.000043509546,0.0020575195],"study_design_scores_gemma":[0.0018363365,0.0014083411,0.9119907,0.0000028734678,0.000039097187,0.0002999464,0.0015003497,0.08132175,0.000087622015,0.0007694641,0.0004263007,0.0003172069],"about_ca_topic_score_codex":0.0031694772,"about_ca_topic_score_gemma":0.019891785,"teacher_disagreement_score":0.052629072,"about_ca_system_score_codex":0.00006135388,"about_ca_system_score_gemma":0.0000021756132,"threshold_uncertainty_score":0.99799263},"labels":[],"label_agreement":null},{"id":"W4206598694","doi":"10.1016/j.agrformet.2022.108827","title":"Dynamic biotic controls of leaf thermoregulation across the diel timescale","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Research Institute for Sustainable Urban Development, Hong Kong Polytechnic University; Innovation and Technology Fund; National Natural Science Foundation of China","keywords":"Diel vertical migration; Thermoregulation; Biology; Stomatal conductance; Photosynthesis; Photosynthetic capacity; Temperate climate; Ecology; Abiotic component; Atmospheric sciences; Energy balance; Transpiration; Environmental science; Botany; Physics","score_opus":0.0037865913728908915,"score_gpt":0.18777050372020665,"score_spread":0.18398391234731576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206598694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99816674,0.00009294797,0.000036635054,0.0007189199,0.000064956585,0.00015207646,0.0000387435,0.000010916453,0.0007180444],"genre_scores_gemma":[0.99885464,0.000011643392,0.000040651485,0.0000825486,0.000005822724,0.000021671964,0.000055920576,0.000002706196,0.0009243781],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939895,0.00007244013,0.00013058541,0.00013328448,0.000108381,0.00015636935],"domain_scores_gemma":[0.99975216,0.000056457913,0.000075698896,0.00008863432,0.000003959545,0.000023061823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001426549,0.00007383129,0.00010688313,0.0000069873518,0.00026104454,0.0000082183005,0.00013010274,0.000033161345,0.00017333833],"category_scores_gemma":[0.000004876407,0.00003635409,0.000040831626,0.000110591885,0.00018888082,0.00005598421,0.0001995398,0.00009787625,0.000009225681],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000247664,0.00023562652,0.49679226,0.0000130569215,0.00016471963,0.000011242444,0.0044597904,0.29656577,0.16921449,0.008403086,0.0006758755,0.023216413],"study_design_scores_gemma":[0.00022389057,0.000120460885,0.9655492,5.819775e-7,0.000020213549,0.0000734402,0.00015606915,0.031659137,0.000026022448,0.0013698934,0.0007338457,0.00006727096],"about_ca_topic_score_codex":0.00017982333,"about_ca_topic_score_gemma":0.00040328305,"teacher_disagreement_score":0.4687569,"about_ca_system_score_codex":0.000026918056,"about_ca_system_score_gemma":0.0000013388473,"threshold_uncertainty_score":0.20077701},"labels":[],"label_agreement":null},{"id":"W4211225606","doi":"10.1016/j.agrformet.2022.108853","title":"Assessing the impact of urbanization on urban evapotranspiration and its components using a novel four-source energy balance model","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Shenzhen Science and Technology Innovation Program; National Key Research and Development Program of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Impervious surface; Evapotranspiration; Urban heat island; Latent heat; Environmental science; Urbanization; Microclimate; Energy balance; Atmospheric sciences; Sensible heat; Vegetation (pathology); Urban climate; Evaporation; Hydrology (agriculture); Geography; Meteorology; Geology","score_opus":0.032749154138296224,"score_gpt":0.24214662227906822,"score_spread":0.20939746814077198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211225606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718094,0.000077823424,0.0022804742,0.000103984145,0.000029227387,0.00012671248,0.000012700513,0.000008868495,0.00017929441],"genre_scores_gemma":[0.9995903,0.00000728999,0.00015379179,0.00007813717,0.000025214345,0.000013511125,0.000046399076,0.000005568391,0.000079836755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992747,0.00008717277,0.00014964215,0.00019089041,0.00015122995,0.00014639452],"domain_scores_gemma":[0.999727,0.000053379164,0.00010781806,0.00006225323,0.000012268886,0.00003726586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011582026,0.00010740758,0.00011948702,0.000020852802,0.00033829478,0.000020629017,0.0000772566,0.00003977891,0.00004160307],"category_scores_gemma":[0.000011266927,0.000060125116,0.000033280983,0.00015792961,0.000065145745,0.00023738743,0.00007856024,0.000086749955,6.5501405e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024715093,0.000048501017,0.10459907,0.000002683501,0.000016448666,3.260625e-7,0.00051339716,0.5704165,0.32298222,0.0010045189,0.000078777455,0.00031286015],"study_design_scores_gemma":[0.00025554438,0.00017205613,0.5246612,0.0000030119713,0.000021144295,0.000042054027,0.000027204196,0.4740765,0.0003741033,0.00026412797,0.000030272502,0.00007281319],"about_ca_topic_score_codex":0.00051200064,"about_ca_topic_score_gemma":0.000039716622,"teacher_disagreement_score":0.4200621,"about_ca_system_score_codex":0.0000813477,"about_ca_system_score_gemma":0.000005246904,"threshold_uncertainty_score":0.26019242},"labels":[],"label_agreement":null},{"id":"W4213355263","doi":"10.1016/j.agrformet.2022.108881","title":"Carbon exchange in rainfed and irrigated cropland in the Brazilian Cerrado","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Agronomy; Environmental science; Rainfed agriculture; Irrigation; Brachiaria; Intercropping; Crop rotation; Agriculture; Agroforestry; Sowing; Crop; Biology; Forage; Ecology","score_opus":0.009919800460376178,"score_gpt":0.19358351578465507,"score_spread":0.1836637153242789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213355263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99376464,0.0012315973,9.250165e-9,0.0035090696,0.00008215516,0.00024950833,0.000017597882,0.00001956127,0.0011258523],"genre_scores_gemma":[0.9988734,0.000117220734,0.0000036007198,0.0006849851,0.00005918759,0.000084525265,0.00009192427,7.791336e-7,0.00008434298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880844,0.00030272317,0.00018014283,0.00027352115,0.00012816202,0.00030701447],"domain_scores_gemma":[0.99964434,0.00019920134,0.000052151776,0.00003825049,0.000012508761,0.000053566568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034980048,0.00014470116,0.00019846416,0.000024957148,0.00018376493,0.00003100547,0.00017358016,0.00007996025,0.00005450504],"category_scores_gemma":[0.000021635591,0.00004479841,0.000034353518,0.00043991092,0.00009549189,0.000046714733,0.0001454011,0.00027643112,7.037343e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017193984,0.00012555702,0.96976054,0.000010835782,0.000019395813,0.000099492594,0.0020243109,0.000033973713,0.011100065,0.0012737775,0.00021078532,0.015169327],"study_design_scores_gemma":[0.00039999821,0.00036040586,0.993795,0.0000020343625,0.000009655087,0.00017928494,0.0014429094,0.00043707594,0.0000102047525,0.0010554867,0.0021692198,0.00013877363],"about_ca_topic_score_codex":0.0031984097,"about_ca_topic_score_gemma":0.055576365,"teacher_disagreement_score":0.052377958,"about_ca_system_score_codex":0.000021812482,"about_ca_system_score_gemma":0.0000029598957,"threshold_uncertainty_score":0.9616569},"labels":[],"label_agreement":null},{"id":"W4214595762","doi":"10.1016/j.agrformet.2022.108883","title":"Terminal bud size, spring and summer temperatures regulate the timing of height-growth cessation of Smith fir on the southeastern Tibetan Plateau","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Phenology; Plateau (mathematics); Context (archaeology); Altitude (triangle); Productivity; Environmental science; Annual growth %; Climate change; Growth rate; Atmospheric sciences; Climatology; Physical geography; Ecology; Biology; Horticulture; Geography; Geology","score_opus":0.01525130320349997,"score_gpt":0.20043794892464023,"score_spread":0.18518664572114027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214595762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975327,0.00065859966,3.3718757e-7,0.0011896306,0.00007698585,0.00013655199,0.000050776045,0.00000980713,0.00034459634],"genre_scores_gemma":[0.99967414,0.000058573572,0.00002817226,0.00007312477,0.000034075532,0.0000031138713,0.000012078766,0.0000022147383,0.000114524184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990901,0.00022100325,0.00018401194,0.00016917847,0.00015963662,0.00017607915],"domain_scores_gemma":[0.9988928,0.0008106408,0.00014200839,0.000097474745,0.00002441891,0.000032668868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029974696,0.000118328346,0.00017333725,0.000031782973,0.00032703448,0.000022331462,0.0001589333,0.000035530953,0.000105172956],"category_scores_gemma":[0.000039712297,0.000047496203,0.000038844373,0.00011424131,0.00018808804,0.00006613915,0.000050092312,0.0001615301,0.0000016568163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039852856,0.000015156548,0.9915205,0.000039911378,0.00006360717,0.000008849923,0.0011459412,0.00065427367,0.0031037214,0.0011099589,0.00006353635,0.0018760108],"study_design_scores_gemma":[0.0001637102,0.00033884705,0.997218,0.000012875029,0.00003272161,0.00009712606,0.0007084135,0.00036391537,0.0005959097,0.00025955998,0.00013607807,0.00007283112],"about_ca_topic_score_codex":0.0010701108,"about_ca_topic_score_gemma":0.0011686943,"teacher_disagreement_score":0.0056975083,"about_ca_system_score_codex":0.0000017477532,"about_ca_system_score_gemma":0.000008534716,"threshold_uncertainty_score":0.25153178},"labels":[],"label_agreement":null},{"id":"W4231425250","doi":"10.1016/j.agrformet.2015.08.084","title":"Peer review report 2 On “Net CO2 exchange and carbon budgets of a three-year crop rotation following conversion of perennial lands to annual cropping in Manitoba, Canada”","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perennial plant; Cropping; Environmental science; Crop rotation; Rotation (mathematics); Agronomy; Agroforestry; Hydrology (agriculture); Crop; Agriculture; Biology; Ecology; Mathematics; Geology","score_opus":0.026399578261605182,"score_gpt":0.22278763920772762,"score_spread":0.19638806094612243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231425250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905859,0.0008449979,2.9428156e-7,0.0076092845,0.00021540478,0.0002587358,0.0000135356095,0.000007675624,0.00046414605],"genre_scores_gemma":[0.99903244,0.00014931668,0.00002881218,0.00028759628,0.000083915314,0.00001355753,0.0000818056,7.052729e-7,0.00032185047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990437,0.000057791505,0.00024945266,0.00024485143,0.00024946564,0.00015472648],"domain_scores_gemma":[0.99951,0.000027917271,0.00012166337,0.00004106936,0.00021020726,0.000089147856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038021032,0.000111192836,0.00026313344,0.000019469511,0.00003812673,0.0000068005033,0.00006782868,0.000060510974,0.000009024929],"category_scores_gemma":[0.00012126158,0.000043156397,0.000031421117,0.00018145157,0.00003643042,0.000052298867,0.00008015704,0.0000618021,4.0077822e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011672046,0.0004111109,0.8206131,0.0011468028,0.00030212617,0.00032605062,0.0020837127,0.0002094168,0.06350176,0.0019340297,0.057513632,0.050791048],"study_design_scores_gemma":[0.0003636141,0.00067638466,0.97596717,0.000101004094,0.00003499913,0.00003375982,0.0008723915,0.000010061435,0.00040704707,0.00003843158,0.021361439,0.00013371214],"about_ca_topic_score_codex":0.21130775,"about_ca_topic_score_gemma":0.5990961,"teacher_disagreement_score":0.38778836,"about_ca_system_score_codex":0.000029698098,"about_ca_system_score_gemma":0.000010689986,"threshold_uncertainty_score":0.79394424},"labels":[],"label_agreement":null},{"id":"W423317447","doi":"10.1016/j.agrformet.2015.05.003","title":"Empirical estimation of daytime net radiation from shortwave radiation and ancillary information","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; National Water Center, United Arab Emirates University; Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences; Environment Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canadian Foundation for Climate and Atmospheric Sciences; Center for Neuroscience and Regenerative Medicine; University of Virginia; Natural Resources Canada; Université Laval; Università degli Studi della Tuscia; U.S. Department of Energy; National Science Foundation","keywords":"Shortwave radiation; Shortwave; Environmental science; Albedo (alchemy); Radiation; Meteorology; Remote sensing; Geography; Radiative transfer; Physics","score_opus":0.020428839944957075,"score_gpt":0.21854844533407944,"score_spread":0.19811960538912238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W423317447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99734217,0.0010278437,0.00043829807,0.00048701992,0.000093838156,0.00009342239,0.00004131136,0.00001615958,0.00045990807],"genre_scores_gemma":[0.9969001,0.00014018796,0.00079239614,0.00013650805,0.000061250525,0.000001216935,0.0019575818,6.446249e-7,0.000010132219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931586,0.00008095848,0.00023057353,0.00010596159,0.0001651316,0.000101499274],"domain_scores_gemma":[0.99956137,0.00009004473,0.00013365257,0.000045197652,0.00007291804,0.00009684598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023027515,0.000083411534,0.00014865167,0.000066033295,0.000054120446,0.000031782587,0.000040418967,0.000079661455,0.00005235243],"category_scores_gemma":[0.000121743695,0.00005348827,0.00002293891,0.00013955931,0.000046805824,0.0007639493,0.000006897929,0.000048460784,0.000020242414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042597545,0.000004990254,0.81640244,0.00000540308,0.000036815753,2.6676744e-7,0.0010974206,0.009278547,0.000055130058,0.000054203483,0.0009899546,0.17203225],"study_design_scores_gemma":[0.00033336758,0.0001298626,0.9444785,0.0000023703517,0.000052706273,0.0000041812064,0.00019480141,0.052690566,0.00005637559,0.0013217267,0.0006602902,0.00007522282],"about_ca_topic_score_codex":0.0007629534,"about_ca_topic_score_gemma":0.00047421624,"teacher_disagreement_score":0.17195703,"about_ca_system_score_codex":0.000004611205,"about_ca_system_score_gemma":0.0000149029265,"threshold_uncertainty_score":0.21811883},"labels":[],"label_agreement":null},{"id":"W4235814357","doi":"10.1016/j.agrformet.2006.10.001","title":"Foreword","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science","score_opus":0.006257278552892212,"score_gpt":0.19615041693276675,"score_spread":0.18989313837987454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235814357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891308,0.0005016442,0.000020491696,0.00062497176,0.0001283527,0.00015274892,0.000032034382,0.00017241882,0.009236516],"genre_scores_gemma":[0.99624294,0.00000647589,0.000476952,0.00012132171,0.00031476756,0.00003072899,0.000118356416,0.000014808605,0.0026736464],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989451,0.000053602285,0.00020068596,0.0002828719,0.000104365274,0.00041335967],"domain_scores_gemma":[0.99961525,0.00006742631,0.00007457183,0.00010904189,0.000058786754,0.00007491786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099148456,0.0001839871,0.00022076222,0.00005065835,0.00012944556,0.000019849509,0.00011286455,0.00012809568,0.00007541089],"category_scores_gemma":[0.000020600279,0.0001003286,0.00006555423,0.00020767034,0.0001707997,0.00016145392,0.000068329085,0.000121526275,0.00075895997],"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":[0.00016591189,0.0001685166,0.36269286,0.00002088374,0.000096591044,0.000046136174,0.00012068903,0.0002424421,0.07473183,0.43832326,0.12000443,0.0033864721],"study_design_scores_gemma":[0.00045993002,0.00014231252,0.96708757,0.0000020463613,0.000037799156,0.00026197822,0.00003142823,0.00005039836,0.0004327366,0.013633645,0.01767539,0.00018474118],"about_ca_topic_score_codex":0.0005379734,"about_ca_topic_score_gemma":0.002831167,"teacher_disagreement_score":0.60439473,"about_ca_system_score_codex":0.000018372379,"about_ca_system_score_gemma":0.00000433962,"threshold_uncertainty_score":0.97551477},"labels":[],"label_agreement":null},{"id":"W4239341561","doi":"10.1016/j.agrformet.2015.07.194","title":"Peer review report 2 On “Gross and aboveground net primary production at Canadian forest carbon flux sites”","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Primary production; Environmental science; Flux (metallurgy); Carbon flux; Carbon cycle; Forestry; Atmospheric sciences; Hydrology (agriculture); Geography; Ecosystem; Ecology; Geology; Biology; Chemistry","score_opus":0.018355963658742938,"score_gpt":0.21339917709086495,"score_spread":0.195043213432122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239341561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96373135,0.0049805893,0.0000035897078,0.005197816,0.00059329695,0.000489458,0.000007883706,0.00012147343,0.024874536],"genre_scores_gemma":[0.98011726,0.0011419986,0.00006798182,0.0008204551,0.00017987895,0.0000576656,0.00087687024,0.0000171479,0.016720729],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99890536,0.000028762304,0.00024085512,0.00030405726,0.00021450935,0.00030646168],"domain_scores_gemma":[0.99931717,0.0000123250165,0.00005062547,0.00017367458,0.00016306006,0.00028315926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002924861,0.00020470831,0.0002460879,0.00007185155,0.00008310114,0.000031006384,0.00006686988,0.00010967593,0.000013044357],"category_scores_gemma":[0.000110858346,0.00013666687,0.000029808578,0.00014464458,0.00007476019,0.000112034526,0.000052668413,0.0000996141,0.000017349776],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000660412,0.000052052263,0.19267184,0.0013115734,0.0002403889,0.00039163535,0.00050065044,0.0026036685,0.0010431983,0.00600956,0.79086953,0.004239854],"study_design_scores_gemma":[0.00028552485,0.00015128724,0.62285435,0.000058344438,0.0000732315,0.000808101,0.000034410605,0.00024050246,0.00004288784,0.00019304409,0.37499365,0.00026463214],"about_ca_topic_score_codex":0.0028068686,"about_ca_topic_score_gemma":0.1572885,"teacher_disagreement_score":0.43018255,"about_ca_system_score_codex":0.00018327477,"about_ca_system_score_gemma":0.000016248143,"threshold_uncertainty_score":0.8580888},"labels":[],"label_agreement":null},{"id":"W4246459519","doi":"10.1016/j.agrformet.2015.08.033","title":"Peer review report 1 On “Predicting the risk of cedar leaf blight (Didymascella thujina) in British Columbia under future climate change”","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Blight; Climate change; Environmental science; Biometeorology; Forestry; Geography; Agronomy; Biology; Ecology; Canopy; Archaeology","score_opus":0.014637043955245618,"score_gpt":0.2182051998387445,"score_spread":0.20356815588349889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246459519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98384994,0.002227193,9.0775825e-7,0.006354256,0.00038195937,0.00054678373,0.000013592865,0.000021771126,0.0066035865],"genre_scores_gemma":[0.9898681,0.006024652,0.00005137041,0.0014741208,0.00013624996,0.00009955174,0.00004416204,0.000006607024,0.002295183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852675,0.00020145865,0.00030839027,0.00033585995,0.0002920572,0.00033550104],"domain_scores_gemma":[0.99937433,0.0000695951,0.00023367596,0.00020001184,0.00004188124,0.00008052233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013287266,0.00012200966,0.00028344005,0.000013479615,0.00016833935,0.000026726899,0.00019715934,0.00013390784,0.00021684988],"category_scores_gemma":[0.00015550753,0.00008593683,0.00006707086,0.00023961811,0.0002498266,0.000116335854,0.0002571723,0.0002607616,0.000044221037],"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":[0.00002065475,0.000087628854,0.8764981,0.00006020954,0.00003747437,0.00011643873,0.00028467568,0.00018299912,0.000026504033,0.00043578638,0.11942129,0.0028282544],"study_design_scores_gemma":[0.00031158968,0.00027806984,0.96245015,0.000058820646,0.00007682792,0.00038166414,0.00038867973,0.000019694136,0.000002813176,0.0007714611,0.035143036,0.00011721553],"about_ca_topic_score_codex":0.010014792,"about_ca_topic_score_gemma":0.27905014,"teacher_disagreement_score":0.26903534,"about_ca_system_score_codex":0.000046223067,"about_ca_system_score_gemma":0.0000040799127,"threshold_uncertainty_score":0.9965776},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":true,"confidence":"medium"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":true,"confidence":"medium"}],"label_agreement":"agree"},{"id":"W4250831931","doi":"10.1016/j.agrformet.2015.08.168","title":"Peer review report 1 On “Continuous observation of leaf area index at Fluxnet-Canada sites”","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"FluxNet; Environmental science; Index (typography); Biometeorology; Meteorology; Geography; Eddy covariance; Computer science; Biology; Ecology; Ecosystem","score_opus":0.06637037227648172,"score_gpt":0.22149266965875772,"score_spread":0.155122297382276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250831931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97345495,0.002746439,2.2589961e-7,0.02164927,0.00016997171,0.00027596412,0.000016188205,0.000019610943,0.0016673601],"genre_scores_gemma":[0.9904618,0.00021040793,0.00001680675,0.0017841025,0.00013547973,0.000024894232,0.00035557293,9.24882e-7,0.0070099724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838513,0.00008618818,0.00038598405,0.0003116258,0.0005681093,0.0002629836],"domain_scores_gemma":[0.99883366,0.00007000792,0.0002271824,0.000079693324,0.00063317874,0.00015629176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005143212,0.00018035935,0.00035875168,0.000005734232,0.000104353814,0.000013238133,0.00015245142,0.00009922915,0.00009884736],"category_scores_gemma":[0.00039576212,0.00005312764,0.000067985464,0.00017473557,0.00005870189,0.00008382955,0.0000930231,0.00010550347,0.000007968806],"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":[0.00019774935,0.00010899881,0.6216077,0.00010490203,0.000077613244,0.000058805887,0.00008255658,0.00003391749,0.024692535,0.00032846208,0.33849224,0.014214479],"study_design_scores_gemma":[0.00018104794,0.0005543292,0.84107465,0.000057282443,0.00003297247,0.00012545948,0.00008648925,0.000009137757,0.00058919756,0.000107567765,0.15701894,0.00016294405],"about_ca_topic_score_codex":0.04466554,"about_ca_topic_score_gemma":0.2682497,"teacher_disagreement_score":0.22358415,"about_ca_system_score_codex":0.000069727634,"about_ca_system_score_gemma":0.000020961405,"threshold_uncertainty_score":0.9616961},"labels":[],"label_agreement":null},{"id":"W4252920206","doi":"10.1016/j.agrformet.2016.11.282","title":"Peer review report 1 on “Drought explains variation in the radial growth of white spruce in western Canada”","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Variation (astronomy); White (mutation); White paper; Environmental science; Geography; Biology; Physics; Archaeology; Astronomy","score_opus":0.007916620839098845,"score_gpt":0.20022596171703164,"score_spread":0.19230934087793278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252920206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96300507,0.000077925935,0.00001437298,0.033963915,0.00011674901,0.0002902348,0.000003386841,0.000003436338,0.0025249007],"genre_scores_gemma":[0.9965433,0.00023567105,0.00002426803,0.0014778173,0.000021439513,0.000047089157,0.000010819794,0.0000019465153,0.0016376316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901706,0.00013717185,0.00025309538,0.0002064609,0.00020166743,0.00018455139],"domain_scores_gemma":[0.9996374,0.00010108282,0.00010853756,0.000114366005,0.00001288984,0.000025708016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000635807,0.000093131355,0.00016783002,0.000018171066,0.000046931968,0.0000023305263,0.00014839957,0.000054356988,0.00010864879],"category_scores_gemma":[0.00016746813,0.000039203118,0.000020842066,0.00014526956,0.00008509277,0.000101873826,0.000087086926,0.00007404125,0.00001145392],"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":[0.000036988113,0.00006691381,0.96966434,0.000032919135,0.0000115826615,0.00014343498,0.0004587173,0.000052339194,0.00019010168,0.009287419,0.019619634,0.00043559444],"study_design_scores_gemma":[0.000272208,0.00010552645,0.99011374,0.000032861106,0.000012034331,0.000066678265,0.000015921582,0.0000017189659,0.000009912084,0.0010877233,0.008214765,0.00006691065],"about_ca_topic_score_codex":0.0482305,"about_ca_topic_score_gemma":0.7855252,"teacher_disagreement_score":0.73729473,"about_ca_system_score_codex":0.0000732631,"about_ca_system_score_gemma":0.0000084816,"threshold_uncertainty_score":0.9581074},"labels":[],"label_agreement":null},{"id":"W4256257424","doi":"10.1016/j.agrformet.2016.01.063","title":"Peer review report 1 On “Environmental-mediated relationships between tree growth of black spruce and abundance of spruce budworm along a latitudinal transect in Quebec, Canada”","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spruce budworm; Transect; Black spruce; Abundance (ecology); Forestry; Ecology; Geography; Taiga; Environmental science; Biology; Tortricidae; Lepidoptera genitalia","score_opus":0.011212336577772496,"score_gpt":0.1975343282346653,"score_spread":0.1863219916568928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256257424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946148,0.0004974405,0.0000056572853,0.0039957846,0.000040623458,0.0004112199,0.00004436002,0.0000071585882,0.00038295757],"genre_scores_gemma":[0.9987195,0.0003586053,0.000045228615,0.000044759476,0.00001985731,0.000017921086,0.000039954608,0.0000069207717,0.0007472229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983052,0.00019838676,0.00054439553,0.00034929364,0.00036578407,0.00023696288],"domain_scores_gemma":[0.9989067,0.0005326863,0.00029224955,0.00015128333,0.000016134343,0.00010097991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006070965,0.0001849405,0.00046360973,0.000029143075,0.000045241683,0.000003378936,0.00012051924,0.000106849104,0.000057864218],"category_scores_gemma":[0.00033039117,0.0001017352,0.00004187302,0.00016363927,0.00032048268,0.00017503492,0.000051848812,0.00014379893,0.000009300741],"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":[0.000023759228,0.000026914226,0.9928153,0.00010904511,0.000022869463,0.000026479689,0.00010578818,0.000004091829,0.0048303585,0.0000484027,0.0009700199,0.0010169654],"study_design_scores_gemma":[0.00044290567,0.00015691694,0.99778694,0.000254127,0.000044320426,0.000051153118,0.000017690545,0.0000075268285,0.0004895054,0.00006110029,0.0005433766,0.0001444154],"about_ca_topic_score_codex":0.33260798,"about_ca_topic_score_gemma":0.9139063,"teacher_disagreement_score":0.5812983,"about_ca_system_score_codex":0.00014923142,"about_ca_system_score_gemma":0.000015646898,"threshold_uncertainty_score":0.67183626},"labels":[],"label_agreement":null},{"id":"W4280567829","doi":"10.1016/j.agrformet.2022.108996","title":"Drought-induced decoupling between carbon uptake and tree growth impacts forest carbon turnover time","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":58,"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 TÉLUQ; Université du Québec à Montréal","funders":"U.S. Forest Service; Office of Science; U.S. Department of Agriculture; U.S. Department of Energy; National Institute of Food and Agriculture; National Science Foundation","keywords":"Environmental science; Eddy covariance; Decoupling (probability); Carbon cycle; Climate change; Dendrochronology; Primary production; Atmospheric sciences; Canopy; Drought stress; Ecosystem; Climatology; Ecology; Agronomy; Geography; Biology; Geology","score_opus":0.0069042297189280104,"score_gpt":0.18367529744843636,"score_spread":0.17677106772950835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280567829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952633,0.00010973387,0.0000013723554,0.0003513758,0.00008992445,0.00020572575,0.000024638945,0.000042272233,0.003911664],"genre_scores_gemma":[0.9992647,0.000029094233,0.00006454579,0.0000651807,0.00006848832,0.00002906695,0.00012057502,0.000011329515,0.00034697738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871767,0.000060817714,0.00023627651,0.00038267285,0.00020161703,0.0004009662],"domain_scores_gemma":[0.99954695,0.00007667326,0.000103179096,0.00011123293,0.0000074839045,0.00015447784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015128369,0.00021759346,0.00026871968,0.000043272335,0.00025806777,0.000031329768,0.00015262708,0.00011323544,0.000052066],"category_scores_gemma":[0.000014990492,0.00014614739,0.000048145983,0.00021227293,0.00009360732,0.0001223299,0.00038834818,0.0002718998,0.000006998786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033214365,0.000028744804,0.9805818,0.0000055643573,0.00005380418,0.000020714173,0.00039097373,0.0013787228,0.01614878,0.00025885954,0.000052418716,0.0010463805],"study_design_scores_gemma":[0.00044864538,0.00031538034,0.9864132,0.000002560221,0.000082421975,0.00018176413,0.000041597217,0.010510126,0.00008382983,0.0013733241,0.0002960666,0.0002511222],"about_ca_topic_score_codex":0.0017048675,"about_ca_topic_score_gemma":0.0021318863,"teacher_disagreement_score":0.01606495,"about_ca_system_score_codex":0.00009263424,"about_ca_system_score_gemma":0.000005391107,"threshold_uncertainty_score":0.59597176},"labels":[],"label_agreement":null},{"id":"W4285586369","doi":"10.1016/j.agrformet.2022.109078","title":"Evaluation of simulated soil moisture and temperature for a Canadian boreal forest","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Environment and Climate Change Canada; Ouranos; Université du Québec à Montréal","funders":"","keywords":"Environmental science; Soil water; Water content; Soil texture; Soil science; Taiga; Boreal; Soil horizon; Hydrology (agriculture); Ecology; Geology; Forestry; Geography","score_opus":0.024488249722635563,"score_gpt":0.22914460942182435,"score_spread":0.2046563596991888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285586369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941607,0.0017031308,9.94736e-8,0.0008935895,0.0001591964,0.00035728933,0.0018332738,0.0000071144223,0.0008855915],"genre_scores_gemma":[0.99385446,0.000059634298,0.000009953257,0.00024899349,0.00008607457,0.000011333957,0.005669727,0.0000019903428,0.000057808287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991738,0.00010167652,0.0001296871,0.0001895093,0.00017293665,0.0002323558],"domain_scores_gemma":[0.99953943,0.00010078032,0.00005506133,0.000057011413,0.00012592363,0.0001217604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004154733,0.000106721614,0.0001629407,0.00005744443,0.0003403023,0.00001913556,0.00007112689,0.00008315923,0.00033560666],"category_scores_gemma":[0.000036603953,0.000066926266,0.000034157245,0.00012778418,0.00006055802,0.00007284505,0.000014831701,0.00010902943,0.0000010180577],"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":[0.000083683124,0.000009383863,0.9836119,0.00002153295,0.000047450427,0.000003276237,0.000758093,0.0072283996,0.0005098303,0.00017478447,0.002013483,0.0055382033],"study_design_scores_gemma":[0.0005707043,0.00038918701,0.98762935,0.0000021084682,0.000104665,0.00006933754,0.0005409476,0.007472629,0.000009278956,0.0010975196,0.002009994,0.0001042673],"about_ca_topic_score_codex":0.28726548,"about_ca_topic_score_gemma":0.9655718,"teacher_disagreement_score":0.67830634,"about_ca_system_score_codex":0.000009143674,"about_ca_system_score_gemma":0.000051215327,"threshold_uncertainty_score":0.71748066},"labels":[],"label_agreement":null},{"id":"W4288681093","doi":"10.1016/j.agrformet.2022.109099","title":"Net carbon dioxide exchange in a hyperseasonal cattle pasture in the northern Pantanal wetland of Brazil","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biome; Environmental science; Eddy covariance; Wetland; Pasture; Hydrology (agriculture); Agroforestry; Ecosystem; Ecology; Geography; Forestry; Biology; Geology","score_opus":0.005027249517493201,"score_gpt":0.17740929622498283,"score_spread":0.17238204670748963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288681093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977107,0.00015289949,3.7106872e-7,0.0006118908,0.000035326444,0.00011625188,0.000027498241,0.0000033062229,0.0013417373],"genre_scores_gemma":[0.9996399,0.000028087654,0.000010359177,0.000116260715,0.000013189685,0.000037730504,0.00005467859,0.0000022002682,0.000097572396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999316,0.00011714431,0.00012332125,0.00014319217,0.00013490097,0.00016548163],"domain_scores_gemma":[0.99982595,0.000044211494,0.000044281893,0.00006154213,0.000002152607,0.000021848731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016286629,0.00007796295,0.00011865807,0.000023166991,0.000053223685,0.00000392258,0.00013622286,0.000037923575,0.00006570142],"category_scores_gemma":[0.000004270731,0.00004134295,0.00002492428,0.00020590865,0.000076369004,0.000035979985,0.00012515177,0.00017279717,0.0000014201761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023627848,0.000038945105,0.99043256,0.0000021221874,0.0000042943548,0.000014914355,0.001066351,0.00636674,0.0016142421,0.00009528327,0.000035918107,0.00030498506],"study_design_scores_gemma":[0.00027729967,0.00009749075,0.9970865,0.0000012740697,0.0000090782005,0.00013621227,0.00038130253,0.0008963092,0.0000052402206,0.0002487516,0.0007942832,0.000066239256],"about_ca_topic_score_codex":0.0035706467,"about_ca_topic_score_gemma":0.07414667,"teacher_disagreement_score":0.07057603,"about_ca_system_score_codex":0.000037658843,"about_ca_system_score_gemma":0.0000029174143,"threshold_uncertainty_score":0.9427477},"labels":[],"label_agreement":null},{"id":"W4289261352","doi":"10.1016/j.agrformet.2022.109092","title":"Xylem porosity, sapwood characteristics, and uncertainties in temperate and boreal forest water use","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi; Environment and Climate Change Canada; Université du Québec en Abitibi-Témiscamingue; Université TÉLUQ; Ministère des Ressources naturelles et des Forêts; University of New Brunswick; Université du Québec à Montréal","funders":"","keywords":"Xylem; Tracheid; Hydraulic conductivity; Water transport; Botany; Temperate climate; Porosity; Environmental science; Biology; Water content; Soil science; Water flow; Materials science; Geology; Soil water; Composite material","score_opus":0.006168469806004425,"score_gpt":0.17232917154456437,"score_spread":0.16616070173855996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289261352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899626,0.00004183304,0.0000017527252,0.0005129257,0.000061944505,0.00013164671,0.00005118777,0.000013668104,0.00018876349],"genre_scores_gemma":[0.99887973,0.00012072118,0.000054346703,0.00014376646,0.000013985612,0.000026354634,0.00024284367,0.00000436294,0.000513914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991916,0.0000663573,0.00015795199,0.00025050694,0.00008617461,0.00024741745],"domain_scores_gemma":[0.9998057,0.00003048194,0.00003421908,0.000059534454,0.0000043570503,0.00006574554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012154661,0.00012778057,0.00016511598,0.00003035596,0.0002210379,0.000052006606,0.00006487997,0.000054546435,0.000043192587],"category_scores_gemma":[0.000005606032,0.00007316253,0.000015846057,0.000060990744,0.00017220143,0.00019493014,0.0004338938,0.00015555145,0.0000033810206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029447867,0.000021243415,0.9946573,0.0000036405459,0.000008306416,0.000016208465,0.00050337525,0.00036309598,0.0031615468,0.00065569876,0.00005565333,0.00052449014],"study_design_scores_gemma":[0.00028376808,0.0001497591,0.9957056,0.0000015365448,0.000015810858,0.0002448666,0.00009813322,0.0014426537,0.00003144803,0.0009892238,0.0008984726,0.00013870622],"about_ca_topic_score_codex":0.002285415,"about_ca_topic_score_gemma":0.005664617,"teacher_disagreement_score":0.0033792017,"about_ca_system_score_codex":0.000031641488,"about_ca_system_score_gemma":0.000001551349,"threshold_uncertainty_score":0.3454879},"labels":[],"label_agreement":null},{"id":"W4292954935","doi":"10.1016/j.agrformet.2022.109115","title":"Causality guided machine learning model on wetland CH4 emissions across global wetlands","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Université de Montréal; University of British Columbia","funders":"National Aeronautics and Space Administration; Office of Science; Nuclear Safety and Security Commission; Biological and Environmental Research; U.S. Geological Survey; U.S. Department of Energy","keywords":"Wetland; Environmental science; Eddy covariance; Predictability; Atmospheric sciences; Marsh; Causality (physics); Climatology; Ecosystem; Greenhouse gas; Ecosystem respiration; Methane emissions; Ecology; Statistics; Mathematics","score_opus":0.014829780502177906,"score_gpt":0.2504512093876629,"score_spread":0.235621428885485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292954935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903227,0.00005168428,0.000041894098,0.001856561,0.00014451034,0.00015570494,0.00012582974,0.000068327456,0.007232781],"genre_scores_gemma":[0.9963828,0.000040074818,0.0000944524,0.000600781,0.000056243523,0.00006672357,0.00051619567,0.000006992429,0.0022357868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982742,0.00018156698,0.00025517592,0.000496652,0.00022366505,0.00056873256],"domain_scores_gemma":[0.9994636,0.00006490072,0.00010999734,0.00015178676,0.000008650145,0.00020104137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031844835,0.00023258771,0.00030042662,0.000013855215,0.0010715752,0.000025686653,0.00024852846,0.00011229028,0.00066810526],"category_scores_gemma":[0.0000439026,0.00014257319,0.00008177669,0.00021086365,0.00016409993,0.00008540664,0.0007453059,0.00038532357,0.000026892225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120415265,0.000098471544,0.92306703,0.0000030481579,0.000027456648,0.00002472317,0.00025740947,0.06611683,0.0016291243,0.0006467014,0.0069958894,0.0010129217],"study_design_scores_gemma":[0.0010656852,0.0007159429,0.96010506,0.0000014652236,0.000028165145,0.0003773544,0.00010452553,0.015719857,0.000023503773,0.0020691403,0.019506304,0.00028298039],"about_ca_topic_score_codex":0.00067623105,"about_ca_topic_score_gemma":0.0036505999,"teacher_disagreement_score":0.050396975,"about_ca_system_score_codex":0.00013691573,"about_ca_system_score_gemma":0.0000073670853,"threshold_uncertainty_score":0.8241798},"labels":[],"label_agreement":null},{"id":"W4293244863","doi":"10.1016/j.agrformet.2022.109113","title":"What explains the year-to-year variation in growing season timing of boreal black spruce forests?","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; University of British Columbia; Global Institute for Water Security; Wilfrid Laurier University; Université du Québec à Trois-Rivières; University of Saskatchewan; Université de Montréal; Université Laval","funders":"Canadian Forest Service; Fonds de recherche du Québec – Nature et technologies; U.S. Forest Service; Office of Science; Canada First Research Excellence Fund; Canada Research Chairs; Environment and Climate Change Canada; Global Water Futures; U.S. Department of Energy","keywords":"Black spruce; Taiga; Boreal; Environmental science; Growing season; Variation (astronomy); Biometeorology; Forestry; Ecology; Atmospheric sciences; Geography; Biology; Geology; Canopy; Physics","score_opus":0.007528015270728035,"score_gpt":0.1925314368562922,"score_spread":0.18500342158556418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293244863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979261,0.000018770654,0.00003472685,0.0009360049,0.000106930565,0.00016666902,0.000009323307,0.00000778765,0.00079366076],"genre_scores_gemma":[0.99942034,0.000026527912,0.00019009036,0.0001151732,0.000014811992,0.000026465008,0.000036910646,0.0000033806455,0.00016631954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993105,0.000083033585,0.00013821298,0.00016307348,0.00013690088,0.00016827455],"domain_scores_gemma":[0.99977255,0.00005645061,0.000053861513,0.0000774505,0.0000040384784,0.00003565208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021136674,0.00007537044,0.00010122845,0.000025717056,0.000116891984,0.000019811985,0.00013236588,0.000035833666,0.00008426989],"category_scores_gemma":[0.000011272854,0.000044369583,0.000028534714,0.00022038797,0.000057088866,0.0002667035,0.00023013627,0.00012418792,0.000011343571],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009178667,0.00006779248,0.769514,0.0000071298905,0.000025601994,0.000010316839,0.0062602907,0.20464493,0.0068353363,0.010460767,0.00042225744,0.0016597712],"study_design_scores_gemma":[0.00018279983,0.00010308039,0.9873715,0.0000034394698,0.000011988881,0.000018967925,0.0008282768,0.010052325,0.000023097771,0.000963809,0.0003669843,0.00007370656],"about_ca_topic_score_codex":0.00056589046,"about_ca_topic_score_gemma":0.0019416538,"teacher_disagreement_score":0.21785751,"about_ca_system_score_codex":0.000053399068,"about_ca_system_score_gemma":0.0000025687875,"threshold_uncertainty_score":0.18093391},"labels":[],"label_agreement":null},{"id":"W4297829584","doi":"10.1016/j.agrformet.2022.109145","title":"Modelling water and energy fluxes with an explicit representation of irrigation under mulch in a maize field","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; National University's Basic Research Foundation of China; Vetenskapsrådet; Swedish National Space Agency; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province","keywords":"Mulch; Irrigation; Environmental science; Representation (politics); Field (mathematics); Agronomy; Hydrology (agriculture); Agricultural engineering; Mathematics; Geology; Engineering; Biology","score_opus":0.021499204421110137,"score_gpt":0.21394154807927998,"score_spread":0.19244234365816984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297829584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969763,0.00004019212,0.000076226504,0.0025293464,0.000026728943,0.00008227068,0.000003079406,0.00001091694,0.00025490564],"genre_scores_gemma":[0.99908453,0.00002851925,0.00013823422,0.00030367574,0.00002904176,0.00005013209,0.0001613755,5.976674e-7,0.0002038718],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99926716,0.0001166316,0.00015725117,0.00021612342,0.000102588085,0.00014024747],"domain_scores_gemma":[0.9997685,0.000080270176,0.00006390309,0.000029499513,0.00002562623,0.000032182754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011755917,0.00008110442,0.00012772142,0.000017780245,0.00014676471,0.000023451421,0.00006376336,0.000034652174,0.00008565753],"category_scores_gemma":[0.0000020788368,0.000025478917,0.000016527738,0.00012650497,0.00002356176,0.0002552014,0.00008883779,0.00006647422,2.6788925e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024392435,0.0008147376,0.13779873,0.00006974726,0.00022711646,0.000040270195,0.0069444366,0.21925277,0.35038576,0.20586726,0.00025665257,0.07590328],"study_design_scores_gemma":[0.0020847057,0.008998512,0.81855816,0.000021876484,0.00015328034,0.00020288322,0.019580074,0.046705868,0.017843604,0.07831356,0.0066556726,0.00088182214],"about_ca_topic_score_codex":0.0036363248,"about_ca_topic_score_gemma":0.0020262683,"teacher_disagreement_score":0.68075943,"about_ca_system_score_codex":0.0000073622937,"about_ca_system_score_gemma":8.955481e-7,"threshold_uncertainty_score":0.549706},"labels":[],"label_agreement":null},{"id":"W4303613551","doi":"10.1016/j.agrformet.2022.109183","title":"Prolonged drought duration, not intensity, reduces growth recovery and prevents compensatory growth of oak trees","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Hebei Agricultural University","keywords":"Intensity (physics); Compensatory growth (organ); Duration (music); Growth rate; Drought stress; Biology; Environmental science; Agronomy; Mathematics","score_opus":0.012688635258354015,"score_gpt":0.19967475514880717,"score_spread":0.18698611989045316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303613551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710983,0.0005932426,6.3883795e-7,0.0013766341,0.0002621056,0.0002036382,0.0001339972,0.00003223142,0.00028769148],"genre_scores_gemma":[0.9990601,0.00018101494,0.00016143241,0.00019546153,0.00005646748,0.0000074505697,0.00019105987,0.0000027468873,0.00014425785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874,0.00026044098,0.00028520738,0.00029720654,0.00017859157,0.00023854237],"domain_scores_gemma":[0.999311,0.00028775432,0.00017630847,0.00007349719,0.00007047034,0.00008100185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028660655,0.00015497633,0.00030183827,0.00008378823,0.00028532496,0.00002314526,0.00015324523,0.000061472805,0.00012372086],"category_scores_gemma":[0.00010755638,0.00009950045,0.000048366073,0.00017753255,0.0002480452,0.00022505276,0.00009276163,0.00015952352,0.000005252399],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010312451,0.000048832473,0.9859851,0.000049500904,0.00010373256,0.000021223963,0.0004801593,0.00009617503,0.008637385,0.0005345828,0.0009013862,0.0021106917],"study_design_scores_gemma":[0.0003177136,0.0008194094,0.9952767,0.0000063065363,0.00004215054,0.0003080715,0.00031126774,0.00006932467,0.0014917727,0.0010422318,0.00017385655,0.00014119045],"about_ca_topic_score_codex":0.00097183743,"about_ca_topic_score_gemma":0.0024302064,"teacher_disagreement_score":0.00929162,"about_ca_system_score_codex":0.0000052574574,"about_ca_system_score_gemma":0.000016980563,"threshold_uncertainty_score":0.40575105},"labels":[],"label_agreement":null},{"id":"W4311908825","doi":"10.1016/j.agrformet.2022.109275","title":"Predicting temperature and rainfall for plantation forestry in Mpumalanga, South Africa, using locally developed climate models","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Escarpment; Altitude (triangle); Environmental science; Orography; Climatology; Terrain; Ranging; Geography; Meteorology; Precipitation; Mathematics; Cartography; Geology","score_opus":0.014174995576701566,"score_gpt":0.20237538498893676,"score_spread":0.1882003894122352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311908825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984599,0.00009548514,0.0001886592,0.00021432132,0.00009187461,0.00047300063,0.000032383792,0.00002302588,0.00042135178],"genre_scores_gemma":[0.9974702,0.000018809515,0.0018976532,0.00019201147,0.000021215441,0.00016098433,0.000079528494,0.0000064635083,0.00015312663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989959,0.000068349655,0.00019288971,0.0003137785,0.0000786537,0.00035040424],"domain_scores_gemma":[0.99973387,0.000069012305,0.00008326299,0.00005525221,0.0000063014804,0.0000523192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029004624,0.00013374063,0.00016227551,0.0000403968,0.0004029955,0.000017893915,0.00009718343,0.00008700657,0.000037288763],"category_scores_gemma":[0.000017123662,0.0000961153,0.00002395599,0.00013443922,0.00013105551,0.00018699767,0.00036600645,0.00016350173,0.0000016681439],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000450493,0.00008180655,0.7822517,0.00006465163,0.000055662458,0.000029273453,0.0074287253,0.18163128,0.0018297449,0.02515183,0.00046842327,0.00055639906],"study_design_scores_gemma":[0.0012432551,0.00036578302,0.9401953,0.0000064558576,0.000047965714,0.00010560193,0.0025333317,0.038687862,0.000012175296,0.016329294,0.0002267913,0.00024618037],"about_ca_topic_score_codex":0.00014817611,"about_ca_topic_score_gemma":0.0019592117,"teacher_disagreement_score":0.15794359,"about_ca_system_score_codex":0.000059639176,"about_ca_system_score_gemma":0.000005833237,"threshold_uncertainty_score":0.3919468},"labels":[],"label_agreement":null},{"id":"W4313481639","doi":"10.1016/j.agrformet.2022.109276","title":"Accumulated soil moisture deficit better indicates the effect of soil water stress on light use efficiency of grasslands during drought years","year":2022,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Nanjing University; National Natural Science Foundation of China","keywords":"Environmental science; Water content; Drought stress; Grassland; Moisture; Vapour Pressure Deficit; Soil water; Soil science; Agronomy; Chemistry; Meteorology; Geography; Biology","score_opus":0.0032126852769796817,"score_gpt":0.16936477747646317,"score_spread":0.1661520921994835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313481639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933743,0.000029559127,9.544037e-7,0.00023314384,0.000060565304,0.00014708834,0.000041424337,0.000011416983,0.00013842274],"genre_scores_gemma":[0.99964595,0.000010171208,0.0000037629777,0.000025055351,0.000010561478,0.000022140162,0.00009806812,0.0000048906236,0.0001794052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990948,0.00013379591,0.00018267498,0.00019373128,0.00018358379,0.00021143408],"domain_scores_gemma":[0.9996752,0.00008819231,0.000089171925,0.00011358295,0.0000041596045,0.000029707531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012838759,0.00012600748,0.00018391987,0.000033129298,0.00017106895,0.000011802516,0.00018919735,0.000067470384,0.00007114473],"category_scores_gemma":[0.000006964479,0.000053671367,0.00006426129,0.00014447246,0.00011584194,0.000068461224,0.00025377393,0.00019114306,0.000006445427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011048178,0.000051464758,0.8214305,0.000012821242,0.00004812157,0.000014199558,0.00062488567,0.08919348,0.08826466,0.00003823367,0.000055236673,0.00015590487],"study_design_scores_gemma":[0.00041949085,0.00047346365,0.9687244,0.000004325468,0.00005401381,0.000051417217,0.00002483259,0.00080855406,0.029203368,0.00005321779,0.000078527184,0.000104360326],"about_ca_topic_score_codex":0.0004226187,"about_ca_topic_score_gemma":0.00028755364,"teacher_disagreement_score":0.14729391,"about_ca_system_score_codex":0.000021991911,"about_ca_system_score_gemma":9.916016e-7,"threshold_uncertainty_score":0.21886548},"labels":[],"label_agreement":null},{"id":"W4313514262","doi":"10.1016/j.agrformet.2022.109305","title":"The effect of relative humidity on eddy covariance latent heat flux measurements and its implication for partitioning into transpiration and evaporation","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Horizon 2020 Framework Programme; Agencia Estatal de Investigación; Office of Science; Alexander von Humboldt-Stiftung; U.S. Department of Energy","keywords":"Eddy covariance; Transpiration; Latent heat; Environmental science; Evaporation; Sensible heat; Atmospheric sciences; Relative humidity; Flux (metallurgy); Humidity; Meteorology; Climatology; Chemistry; Geology; Photosynthesis; Physics; Ecosystem","score_opus":0.01706410630314642,"score_gpt":0.23051717694591073,"score_spread":0.2134530706427643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313514262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985021,0.000068062756,0.0002847397,0.00063623174,0.00003730456,0.00040249724,0.000009409311,0.000012678386,0.00004702036],"genre_scores_gemma":[0.9995627,0.0000763004,0.000058623536,0.000010765929,0.00001074399,0.00009230413,0.00012842959,0.0000021225767,0.000058008933],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994899,0.00006513167,0.0001240124,0.00014996645,0.000075600634,0.00009537515],"domain_scores_gemma":[0.99973285,0.00014027307,0.000049799593,0.000038206716,0.000012556351,0.000026336375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003055039,0.000071743845,0.00008559203,0.000011731866,0.00027244512,0.000015438914,0.000027471364,0.000054075143,0.0000018722402],"category_scores_gemma":[0.00003077524,0.00003784493,0.00001590005,0.000086860404,0.000063669926,0.00015014187,0.000017744838,0.000042694,0.0000035783091],"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":[0.0005875094,0.000039424798,0.29480866,0.00010491973,0.00013615577,8.517753e-7,0.0018105706,0.1019313,0.57035774,0.016335817,0.00024735328,0.013639708],"study_design_scores_gemma":[0.000543791,0.00088830804,0.9523809,0.000011069905,0.000056835444,0.000006592643,0.000010921225,0.033321247,0.008603588,0.0039532655,0.00013558195,0.00008792428],"about_ca_topic_score_codex":0.000042950785,"about_ca_topic_score_gemma":0.000286398,"teacher_disagreement_score":0.6575722,"about_ca_system_score_codex":0.000018697707,"about_ca_system_score_gemma":0.0000010523928,"threshold_uncertainty_score":0.20954551},"labels":[],"label_agreement":null},{"id":"W4316171259","doi":"10.1016/j.agrformet.2023.109317","title":"Comparison of tree-growth drought legacies of three shelterbelt species in the Canadian Prairies","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Stantec (Canada); University of Saskatchewan","funders":"","keywords":"Windbreak; Scots pine; Climate change; Environmental science; Geography; Forestry; Agroforestry; Ecology; Biology; Pinus <genus>; Botany","score_opus":0.03438963754736474,"score_gpt":0.24736139805183996,"score_spread":0.21297176050447522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316171259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923195,0.0005036079,3.9426578e-7,0.0035280485,0.00009509662,0.00012434872,0.00007799271,0.000016339945,0.003334663],"genre_scores_gemma":[0.9995915,0.0000659627,0.00004894963,0.000035472567,0.000033933164,0.000002130725,0.00010122751,0.0000013660954,0.000119452394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902886,0.00010976481,0.00025945884,0.00014588903,0.00015363541,0.00030237396],"domain_scores_gemma":[0.9991761,0.00054594444,0.00009140063,0.000091040056,0.00004014183,0.000055392804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025012981,0.00011608712,0.0003001699,0.00014491154,0.0001229997,0.0000267023,0.00023242546,0.00008069104,0.00004149212],"category_scores_gemma":[0.000104011575,0.000055908364,0.00004541527,0.00049736525,0.00039785876,0.00012735039,0.00001697708,0.00011193995,0.000019502475],"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":[0.000036466055,0.000007200362,0.99396324,0.000026160704,0.000015129851,0.000007493619,0.001164859,0.00019638993,0.00012677819,0.0026611504,0.0005949605,0.0012001808],"study_design_scores_gemma":[0.00012863446,0.00025423057,0.9959499,0.000009478834,0.00001533443,0.000023386538,0.0013167863,0.00016298251,0.00017092508,0.0010637341,0.0008268737,0.000077739096],"about_ca_topic_score_codex":0.19750285,"about_ca_topic_score_gemma":0.98869526,"teacher_disagreement_score":0.7911924,"about_ca_system_score_codex":0.000003497719,"about_ca_system_score_gemma":0.00002999736,"threshold_uncertainty_score":0.80784106},"labels":[],"label_agreement":null},{"id":"W4319960079","doi":"10.1016/j.agrformet.2023.109357","title":"Assessing the consistency of crop leaf area index derived from seasonal Sentinel-2 and Landsat 8 imagery over Manitoba, Canada","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of Toronto; Agriculture and Agri-Food Canada","funders":"","keywords":"Leaf area index; Remote sensing; Environmental science; Photosynthetically active radiation; Atmospheric radiative transfer codes; Satellite; Radiative transfer; Mathematics; Geography; Agronomy","score_opus":0.0118519310951648,"score_gpt":0.2047486353744861,"score_spread":0.1928967042793213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319960079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99711823,0.0001292263,0.0000039195834,0.0015073791,0.00015925012,0.000113142836,0.00001561507,0.000025437716,0.00092781073],"genre_scores_gemma":[0.99921745,0.00005078858,0.00008531392,0.00031711115,0.00007204268,0.0000018150677,0.00006603624,0.0000053255308,0.00018409749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891937,0.00009447988,0.00019194795,0.00029592874,0.00022098508,0.00027731972],"domain_scores_gemma":[0.9993837,0.0002778594,0.00012147635,0.000115124894,0.000020426,0.00008139613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010076016,0.00017162743,0.00022915656,0.000011823286,0.00022063564,0.000058394206,0.00011843715,0.00009787041,0.00006558451],"category_scores_gemma":[0.000053101838,0.000080037935,0.00004033271,0.0002135647,0.0003658871,0.00015873233,0.00023507822,0.00016537134,0.000007366668],"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":[0.000012311,0.000008597309,0.9450381,0.0000062394106,0.000043779422,0.000036966354,0.0001411748,0.00020529267,0.043036167,0.000014462932,0.010332909,0.0011239997],"study_design_scores_gemma":[0.00023002201,0.0000140266475,0.99670905,0.000010253075,0.00003919055,0.00009070328,0.0006607296,0.0009941289,0.0004090089,0.00022026035,0.0004884439,0.00013416493],"about_ca_topic_score_codex":0.20720461,"about_ca_topic_score_gemma":0.5041409,"teacher_disagreement_score":0.29693627,"about_ca_system_score_codex":0.000040834362,"about_ca_system_score_gemma":0.000016340959,"threshold_uncertainty_score":0.79807466},"labels":[],"label_agreement":null},{"id":"W4320343112","doi":"10.1016/j.agrformet.2023.109318","title":"Multi-year trends and interannual variation in ecosystem resource use efficiencies in a young mixedwood plantation in northern China","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Environmental science; Photosynthetically active radiation; Eddy covariance; Growing season; Ecosystem; Vapour Pressure Deficit; Normalized Difference Vegetation Index; Water content; Ecosystem respiration; Water-use efficiency; Carbon sink; Climate change; Ecology; Transpiration; Photosynthesis","score_opus":0.0057947185378371836,"score_gpt":0.18367411992569013,"score_spread":0.17787940138785294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320343112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99952024,0.000009427591,0.0000094558045,0.0001297463,0.00003620271,0.00010144126,0.000021668466,0.000017521957,0.00015430762],"genre_scores_gemma":[0.99961054,0.00002275924,0.00008011978,0.000007351879,0.0000060409116,0.000017305683,0.000101479316,0.0000030677575,0.00015133178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992429,0.00009025504,0.0001922418,0.00021673318,0.000070550785,0.00018732598],"domain_scores_gemma":[0.999827,0.000055928667,0.000043913766,0.000042805605,0.0000023612456,0.000027946619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019371431,0.00009333992,0.00012697878,0.0001471786,0.000035788427,0.000025279096,0.00005400573,0.000083394734,0.0000041633475],"category_scores_gemma":[0.00001850186,0.000062566825,0.0000131998595,0.0004542858,0.000032894644,0.00020617354,0.00006938822,0.000106370986,0.000009881017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025784531,0.000023235043,0.97072643,0.000003440393,0.0000023061673,0.000012029973,0.0041426523,0.022977458,0.0014813114,0.000055537304,0.000003872491,0.00054592534],"study_design_scores_gemma":[0.0005599913,0.00005073409,0.93617034,0.000010373749,0.000003668981,0.00004033689,0.00026206605,0.06275941,0.0000033495166,0.000036760768,0.000019026846,0.000083916944],"about_ca_topic_score_codex":0.0026453892,"about_ca_topic_score_gemma":0.32568637,"teacher_disagreement_score":0.323041,"about_ca_system_score_codex":0.00005482213,"about_ca_system_score_gemma":0.0000013319425,"threshold_uncertainty_score":0.6866181},"labels":[],"label_agreement":null},{"id":"W4320477199","doi":"10.1016/j.agrformet.2023.109319","title":"Phenological assessment of transpiration: The stem-temp approach for determining start and end of season","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Winnipeg; Global Institute for Water Security; Trent University; University of Saskatchewan","funders":"","keywords":"Phenology; Transpiration; Eddy covariance; Environmental science; Evergreen; Evapotranspiration; Canopy; Growing season; Black spruce; Atmospheric sciences; Botany; Ecology; Biology; Taiga; Photosynthesis; Physics; Ecosystem","score_opus":0.02062209164102971,"score_gpt":0.22439103527500537,"score_spread":0.20376894363397566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320477199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979433,0.000031173273,0.0009996472,0.0001647236,0.000018481203,0.00019617329,0.000028094593,0.0000092193,0.00060919125],"genre_scores_gemma":[0.9980173,0.00003342996,0.0017221834,0.000016754046,0.000007819499,0.000033382417,0.000054128916,0.000001665433,0.00011332764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995277,0.000036072277,0.00013364122,0.00012509227,0.0000699603,0.000107528474],"domain_scores_gemma":[0.99978065,0.000087965855,0.000056101646,0.000046783094,0.000006202609,0.000022294294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015652209,0.00006273526,0.00012265149,0.000010204403,0.00006941154,0.0000056360896,0.000060414786,0.00005504541,0.000008782962],"category_scores_gemma":[0.000003249655,0.000029215013,0.000024830757,0.00009538411,0.0001770188,0.000052607258,0.000042834214,0.00004416847,3.2983488e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053805437,0.000085888736,0.8758321,0.000090063295,0.00009094174,0.0000019158226,0.0010742828,0.03126565,0.055234727,0.018802881,0.000104137944,0.017363606],"study_design_scores_gemma":[0.00024062593,0.0003045935,0.9433162,0.0000024564338,0.000036893227,0.000018015024,0.00018537705,0.054988623,0.00011371106,0.0005281743,0.00020528804,0.000060011633],"about_ca_topic_score_codex":0.000020782702,"about_ca_topic_score_gemma":0.000057724712,"teacher_disagreement_score":0.06748413,"about_ca_system_score_codex":0.000005726653,"about_ca_system_score_gemma":0.0000021903154,"threshold_uncertainty_score":0.119135365},"labels":[],"label_agreement":null},{"id":"W4323051297","doi":"10.1016/j.agrformet.2023.109395","title":"Increases in sap flow and storage can compensate for successively greater losses of conducting area in large trees","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Xylem; Transpiration; Canopy; Environmental science; Water transport; Transpiration stream; Water flow; Growing season; Botany; Horticulture; Hydrology (agriculture); Soil science; Biology; Geology; Photosynthesis","score_opus":0.01854464496413202,"score_gpt":0.21569584525307067,"score_spread":0.19715120028893865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323051297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994408,0.0000322716,0.000005010429,0.00017685462,0.000019094969,0.00014918456,0.00010131216,0.000010384526,0.00006509369],"genre_scores_gemma":[0.9995695,0.00004227888,0.00012239249,0.000026272619,0.0000065584914,0.000020859366,0.000117586846,0.0000028520994,0.00009171413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993944,0.000036874186,0.00015409366,0.00016926545,0.00004563794,0.00019974128],"domain_scores_gemma":[0.99977374,0.00009885917,0.0000509019,0.000037568036,0.000005133084,0.000033815195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264048,0.00008831722,0.00017748821,0.00005048347,0.00004575599,0.000009342883,0.000051971318,0.000058306327,0.000014732274],"category_scores_gemma":[0.000022819708,0.00005358016,0.00001777348,0.00017660724,0.00009366259,0.000096961034,0.00008380391,0.000054903696,0.0000013997557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020208221,0.000017042981,0.99203837,0.00000924695,0.000006244828,0.000013247272,0.000330839,0.0033863385,0.003795898,0.00017126313,0.000020470005,0.00019085534],"study_design_scores_gemma":[0.00051121257,0.00006975541,0.98462886,0.000010505569,0.000009302297,0.00003359287,0.00019769122,0.013840816,0.00010610356,0.00048013226,0.000028927685,0.00008308117],"about_ca_topic_score_codex":0.0020292343,"about_ca_topic_score_gemma":0.034417044,"teacher_disagreement_score":0.032387808,"about_ca_system_score_codex":0.000015779353,"about_ca_system_score_gemma":0.000001906479,"threshold_uncertainty_score":0.98320234},"labels":[],"label_agreement":null},{"id":"W4323073123","doi":"10.1016/j.agrformet.2023.109385","title":"Arbuscular mycorrhizal fungi decrease soil ammonium availability and nitrous oxide emissions under nitrogen input","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Symbiosis; Ammonium; Agronomy; Nitrous oxide; Hypha; Nitrogen; Nitrification; Soil carbon; Soil water; Biology; Phosphorus; Chemistry; Botany; Ecology; Bacteria","score_opus":0.011101135710181998,"score_gpt":0.20446396566272085,"score_spread":0.19336282995253884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323073123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948169,0.0012338713,0.0000034203129,0.001970235,0.00020993476,0.0002709854,0.00055900856,0.00022594871,0.00070972525],"genre_scores_gemma":[0.9942237,0.0019807592,0.00006505819,0.000500481,0.00023948394,0.000047671365,0.0022079675,0.0000024340536,0.00073241215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982116,0.0001744433,0.00032197064,0.00055409264,0.00016691977,0.00057093933],"domain_scores_gemma":[0.9976421,0.00159566,0.00009455164,0.000090797985,0.00009201622,0.0004848936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023961745,0.0003008485,0.00034710596,0.000035535617,0.0005203877,0.00008566567,0.00018175095,0.00025419588,0.0006713699],"category_scores_gemma":[0.0002925612,0.00010813374,0.00014185358,0.00048141988,0.00005506966,0.00019826,0.00020717735,0.00028845834,0.00043950888],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027703334,0.00012338102,0.8218048,0.000023703658,0.00013037538,0.000056027508,0.000110585956,0.0000948875,0.1533574,0.004312279,0.016067311,0.0036422038],"study_design_scores_gemma":[0.00014937439,0.00031179845,0.97138214,0.000022166236,0.00011091393,0.00056251214,0.00051672175,0.00027373142,0.001109951,0.01199279,0.013146694,0.0004212137],"about_ca_topic_score_codex":0.003516272,"about_ca_topic_score_gemma":0.0031403895,"teacher_disagreement_score":0.15224744,"about_ca_system_score_codex":0.000018962053,"about_ca_system_score_gemma":0.000011558366,"threshold_uncertainty_score":0.73510295},"labels":[],"label_agreement":null},{"id":"W4323832803","doi":"10.1016/j.agrformet.2023.109396","title":"Simulation of evapotranspiration and yield of maize: An inter-comparison among 41 maize models","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Alberta","funders":"Office of Experimental Program to Stimulate Competitive Research; Cooperative State Research, Education, and Extension Service; U.S. Department of Agriculture; Office of Science; Met Office; U.S. Department of Energy","keywords":"Evapotranspiration; Environmental science; Eddy covariance; Irrigation scheduling; Irrigation; Lysimeter; Transpiration; Simulation modeling; Hydrology (agriculture); Biometeorology; Crop simulation model; Crop coefficient; Canopy; Crop yield; Atmospheric sciences; Agronomy; Soil water; Soil science; Ecosystem; Ecology; Mathematics; Geology; Biology","score_opus":0.01950370219591954,"score_gpt":0.2248956398501931,"score_spread":0.20539193765427355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323832803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825823,0.000015982143,0.0011555831,0.000048604477,0.000030050658,0.00011152626,0.000013238555,0.000017734701,0.00034904105],"genre_scores_gemma":[0.9996641,0.000023343971,0.00013729396,0.0000085457295,0.000007698985,0.0000051800484,0.000071371236,0.0000026293687,0.00007983528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994328,0.000030792788,0.00020411867,0.00014608118,0.00007859185,0.000107599844],"domain_scores_gemma":[0.9997375,0.00006922933,0.00008455378,0.000060089547,0.000009599134,0.0000389992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100142875,0.00007625334,0.00014804823,0.000030623025,0.000038654656,0.000006562211,0.000053179356,0.00008676553,0.00002148368],"category_scores_gemma":[0.000008984972,0.000049096572,0.0000227635,0.0001329493,0.00012303964,0.00026488284,0.00004285122,0.00005509694,0.0000026141752],"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":[0.000019156132,0.0000182612,0.25373626,0.000008399769,0.000008863384,4.94747e-7,0.0005328057,0.73246515,0.01130935,0.0005158389,0.0000074137834,0.0013779983],"study_design_scores_gemma":[0.00009379572,0.00012161178,0.49979505,0.000004211003,0.000017034386,0.0000018708885,0.000035851623,0.49798486,0.00016265997,0.001731182,0.000006751582,0.000045132758],"about_ca_topic_score_codex":0.0004015543,"about_ca_topic_score_gemma":0.0015017241,"teacher_disagreement_score":0.24605878,"about_ca_system_score_codex":0.0000069445723,"about_ca_system_score_gemma":9.246582e-7,"threshold_uncertainty_score":0.20021002},"labels":[],"label_agreement":null},{"id":"W4323928229","doi":"10.1016/j.agrformet.2023.109412","title":"Environmental controls on carbon fluxes in an urban forest in the Megalopolis of Beijing, 2012-2020","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Eddy covariance; Environmental science; Ecosystem respiration; Beijing; Carbon sink; Ecosystem; Biometeorology; Afforestation; Hydrometeorology; Atmospheric sciences; Ecology; Geography; Canopy; Precipitation; China; Agroforestry; Meteorology","score_opus":0.0055731224380231046,"score_gpt":0.18839596364481692,"score_spread":0.18282284120679382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323928229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99791837,0.000046322435,3.5776554e-7,0.0003751,0.000043841523,0.00020870495,0.000025428462,0.000011492295,0.0013703977],"genre_scores_gemma":[0.9994979,0.00006145618,0.000011145539,0.00010012546,0.000024091516,0.00003328258,0.00013742397,0.0000041066182,0.00013050299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999089,0.00010705358,0.00020231499,0.00021334024,0.00013776778,0.00025052906],"domain_scores_gemma":[0.9997001,0.00009045814,0.00005714836,0.000109564324,0.000001151048,0.00004153152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019461551,0.0001227054,0.00017220584,0.00004545129,0.000042472715,0.00001103387,0.00017007154,0.00009310768,0.00002198458],"category_scores_gemma":[0.000008101356,0.00006515795,0.000032052594,0.00020583135,0.0001558418,0.00012714215,0.000069863156,0.00014162087,0.00002184319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028035023,0.000059370705,0.98654485,0.0000016619567,0.0000052350047,0.000016533259,0.0006360668,0.006569288,0.004912951,0.0008678034,0.00011980946,0.00023837085],"study_design_scores_gemma":[0.00038445054,0.00029734327,0.9919823,0.000003609327,0.0000099838835,0.000019004345,0.00018103604,0.0059561776,0.000021145748,0.00072608376,0.00032471828,0.00009418001],"about_ca_topic_score_codex":0.00043283435,"about_ca_topic_score_gemma":0.013100326,"teacher_disagreement_score":0.012667491,"about_ca_system_score_codex":0.000032825097,"about_ca_system_score_gemma":0.0000014676542,"threshold_uncertainty_score":0.7310289},"labels":[],"label_agreement":null},{"id":"W4361030072","doi":"10.1016/j.agrformet.2023.109410","title":"Increased inter-annual variability in budburst dates towards the northern range edge of black spruce","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Phenology; Growing degree-day; Boreal; Black spruce; Shoot; Range (aeronautics); Latitude; Growing season; Provenance; Taiga; Biology; Physical geography; Vegetation (pathology); Environmental science; Ecology; Horticulture; Geography","score_opus":0.007957828005444286,"score_gpt":0.19488920646593366,"score_spread":0.18693137846048938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361030072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976049,0.000010215032,0.000015544838,0.0006848338,0.000056714714,0.00015879805,0.00006559396,0.000020665506,0.0013827308],"genre_scores_gemma":[0.99957037,0.00002942064,0.000026639535,0.00004138571,0.000017315886,0.00001424806,0.000078766156,0.0000030239792,0.00021884512],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918085,0.00014568902,0.00019328886,0.00019477442,0.00008985594,0.00019553602],"domain_scores_gemma":[0.999623,0.00014842699,0.00005674738,0.0001214486,0.0000101211845,0.00004022785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000464288,0.00010307206,0.0001585918,0.000022638465,0.00004774461,0.000008222643,0.00018154709,0.00008031067,0.000051762723],"category_scores_gemma":[0.000058834437,0.00004982606,0.00003975167,0.00029847107,0.00030528448,0.00009999844,0.00021714978,0.00011730566,0.00005477881],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034201206,0.00004102063,0.9917178,0.0000073595916,0.000017271424,0.0000055888627,0.0011363861,0.0017837984,0.0018454711,0.00041550206,0.0002582988,0.0027372972],"study_design_scores_gemma":[0.00020873228,0.0000588246,0.9931141,0.0000032949167,0.000016581496,0.00001406728,0.00016054255,0.0042316252,0.000045964134,0.0015537381,0.00051344204,0.00007907114],"about_ca_topic_score_codex":0.0030442476,"about_ca_topic_score_gemma":0.012396258,"teacher_disagreement_score":0.009352011,"about_ca_system_score_codex":0.00002662101,"about_ca_system_score_gemma":0.0000036526399,"threshold_uncertainty_score":0.6917403},"labels":[],"label_agreement":null},{"id":"W4362508029","doi":"10.1016/j.agrformet.2023.109422","title":"Radial growth-climate correlations of Pinus massoniana in natural and planted forest stands along a latitudinal gradient in subtropical central China","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China","keywords":"Pinus massoniana; Precipitation; Subtropics; Environmental science; Latitude; Climate change; Evapotranspiration; Dendrochronology; Atmospheric sciences; Dendroclimatology; Climatology; Ecology; Physical geography; Geography; Biology; Botany; Geology; Meteorology","score_opus":0.009153438638591952,"score_gpt":0.2024129323603321,"score_spread":0.19325949372174014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362508029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981096,0.0005670072,0.0000015196982,0.0006178431,0.000247185,0.00018782378,0.00014580158,0.000035047004,0.00008817937],"genre_scores_gemma":[0.99896574,0.00058343756,0.00007421532,0.000012592099,0.000044923167,0.0000034714374,0.00029505006,0.0000027984584,0.00001774695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854577,0.00012515865,0.0003415114,0.0002789559,0.00013474359,0.0005738827],"domain_scores_gemma":[0.99936044,0.0003612865,0.000086627224,0.000060490576,0.000018132507,0.00011301935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017104496,0.00017126594,0.00032396687,0.00022497382,0.00009723833,0.000025660536,0.000097679025,0.00011336357,0.00002360645],"category_scores_gemma":[0.000113124384,0.000109192675,0.000041942305,0.0005029034,0.00018612707,0.00018063816,0.000036812085,0.00023305566,0.000007682236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003346522,0.00001509921,0.99620044,0.00003023634,0.000015266276,0.000105242856,0.00038958256,0.0010062607,0.00006602851,0.0011548582,0.000027479726,0.000654827],"study_design_scores_gemma":[0.0009405333,0.0002731307,0.9909444,0.000031441363,0.000017206828,0.00016999371,0.00013062963,0.0068128523,0.0000068533973,0.0005120776,0.000018891224,0.00014197746],"about_ca_topic_score_codex":0.0052042347,"about_ca_topic_score_gemma":0.1961959,"teacher_disagreement_score":0.19099167,"about_ca_system_score_codex":0.0000115019675,"about_ca_system_score_gemma":0.000015625415,"threshold_uncertainty_score":0.81847143},"labels":[],"label_agreement":null},{"id":"W4366765066","doi":"10.1016/j.agrformet.2023.109469","title":"Fine scale assessment of seasonal, intra-seasonal and spatial dynamics of soil CO2 effluxes over a balsam fir-dominated perhumid boreal landscape","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Université Laval; Ministry of Natural Resources and Wildlife","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère des Ressources Naturelles et de la Faune; Université Laval","keywords":"Environmental science; Balsam; Seasonality; Spatial variability; Abies balsamea; Boreal; Spatial ecology; Taiga; Atmospheric sciences; Vegetation (pathology); Common spatial pattern; Biometeorology; Climatology; Canopy; Ecology; Biology; Geology; Mathematics","score_opus":0.0036553411186391813,"score_gpt":0.20254364308470568,"score_spread":0.1988883019660665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366765066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983671,0.00006620903,0.0002053334,0.00035096696,0.00008498994,0.00016405496,0.000060615457,0.000023178656,0.00067756674],"genre_scores_gemma":[0.99821633,0.00022026157,0.0008969751,0.000035177774,0.000033043838,0.000016589664,0.00022819347,0.000009681465,0.0003437436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880683,0.000059898422,0.00027027252,0.00031621155,0.00024327353,0.00030352268],"domain_scores_gemma":[0.99952555,0.00009345495,0.00014540869,0.000103319384,0.000009170825,0.0001231242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014890381,0.00020467203,0.00035555905,0.0000109490275,0.00008863884,0.00000961144,0.00012658208,0.00013959501,0.00029480906],"category_scores_gemma":[0.000013577776,0.00013407256,0.00006760099,0.00020625761,0.0005969658,0.000104382,0.0003164335,0.00013046549,0.0000054671214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006987682,0.000089074776,0.9821912,0.000033408494,0.000048818307,0.0000068346617,0.00009224601,0.0063872747,0.003923854,0.00022337226,0.00065149827,0.0062825577],"study_design_scores_gemma":[0.00063441106,0.00035057933,0.8652562,0.000008578933,0.00005546346,0.00003401108,0.0001720661,0.1329628,0.000050153798,0.00027683232,0.00005616146,0.00014276293],"about_ca_topic_score_codex":0.0014945655,"about_ca_topic_score_gemma":0.0051544853,"teacher_disagreement_score":0.12657551,"about_ca_system_score_codex":0.000049907932,"about_ca_system_score_gemma":0.0000067215574,"threshold_uncertainty_score":0.546732},"labels":[],"label_agreement":null},{"id":"W4376870491","doi":"10.1016/j.agrformet.2023.109480","title":"Interaction of age and elevation on xylogenesis in Juniperus przewalskii in a cold and arid region","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Xylem; Phenology; Cambium; Arid; Growing season; Biology; Plateau (mathematics); Elevation (ballistics); Ecology; Botany","score_opus":0.022051030491788755,"score_gpt":0.22679739179423344,"score_spread":0.2047463613024447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376870491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989967,0.00021142141,2.492962e-7,0.00047193718,0.00006019307,0.00011837972,0.000006970055,0.000014696676,0.00011949594],"genre_scores_gemma":[0.9990817,0.00074042904,0.000021248221,0.00004016087,0.000014835666,0.000003079612,0.000041116662,0.0000011798353,0.000056296474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993907,0.00009381886,0.00015043351,0.00016986481,0.000051764884,0.0001433901],"domain_scores_gemma":[0.9995309,0.00033455907,0.00005392737,0.000038556875,0.000009865162,0.00003219953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014486322,0.00007942123,0.00015218448,0.00017006524,0.00003225968,0.000012152894,0.000030697127,0.00007178596,0.0000056841304],"category_scores_gemma":[0.00006768472,0.000049906637,0.000010818095,0.00025840182,0.00006380796,0.00013207148,0.000012436734,0.000069433976,0.0000043421032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023195655,0.000009523789,0.98307055,0.000026624137,0.0000056912954,0.000050644598,0.00026936832,0.000451278,0.0048410697,0.00031515834,0.000029699957,0.010698444],"study_design_scores_gemma":[0.00029154329,0.00030227532,0.99791634,0.0000230949,0.0000056607537,0.000050602666,0.00022732394,0.0004476188,0.00026836112,0.00027156976,0.00013269883,0.00006291663],"about_ca_topic_score_codex":0.0019613986,"about_ca_topic_score_gemma":0.028812252,"teacher_disagreement_score":0.026850853,"about_ca_system_score_codex":0.000003229447,"about_ca_system_score_gemma":0.000003352125,"threshold_uncertainty_score":0.9889094},"labels":[],"label_agreement":null},{"id":"W4378741334","doi":"10.1016/j.agrformet.2023.109539","title":"Using high frequency digital repeat photography to quantify the sensitivity of a semi-arid grassland ecosystem to the temporal repackaging of precipitation","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agricultural Research Service; Strategic Environmental Research and Development Program; Canadian Cardiovascular Society","keywords":"Environmental science; Arid; Water content; Growing season; Grassland; Precipitation; Perennial plant; Hydrology (agriculture); Ecosystem; Atmospheric sciences; Agronomy; Ecology; Geography; Meteorology; Geology","score_opus":0.01182111797663993,"score_gpt":0.21295453792649796,"score_spread":0.20113341994985803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378741334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983505,0.000009117065,0.00036255986,0.00059761596,0.000093460585,0.00030378302,0.00010328879,0.00001844023,0.00016124388],"genre_scores_gemma":[0.99965835,0.000005654254,0.0001944762,0.000024445631,0.000017433744,0.000011133823,0.000056644156,0.0000035623493,0.000028300252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991892,0.000102421945,0.00021603292,0.00018961458,0.00013731488,0.00016543236],"domain_scores_gemma":[0.9995501,0.00014444944,0.00010623334,0.00013688768,0.000018188812,0.00004411094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035427202,0.000096685675,0.0001547811,0.000041495663,0.00011547951,0.000022514116,0.00009230336,0.000047630114,0.0000031091972],"category_scores_gemma":[0.000039964325,0.00004346745,0.00005632972,0.0005168315,0.0000686036,0.0001174074,0.00012661125,0.000065184344,0.000008932559],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024009085,0.000014348252,0.9051371,0.000010551991,0.00003712731,0.000005259049,0.0011415454,0.03179247,0.06079361,0.00043929176,0.00011537542,0.00048931985],"study_design_scores_gemma":[0.00008025709,0.00009613621,0.99112356,0.000014693041,0.000029565339,0.00006195221,0.0002217648,0.007137665,0.00051801204,0.0005517706,0.0000787911,0.00008580844],"about_ca_topic_score_codex":0.0018906088,"about_ca_topic_score_gemma":0.0062316647,"teacher_disagreement_score":0.08598649,"about_ca_system_score_codex":0.000016312264,"about_ca_system_score_gemma":0.0000026856167,"threshold_uncertainty_score":0.3477415},"labels":[],"label_agreement":null},{"id":"W4382656969","doi":"10.1016/j.agrformet.2023.109584","title":"Interannual variability of spring and summer monsoon growing season carbon exchange at a semiarid savanna over nearly two decades","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Rocky Mountain Research Station; Graduate School, University of Maryland; Agricultural Research Service; U.S. Forest Service; Nuclear Safety and Security Commission; U.S. Department of Energy; Frances McClelland Institute for Children, Youth, and Families; U.S. Department of Agriculture; National Aeronautics and Space Administration","keywords":"Eddy covariance; Environmental science; Ecosystem respiration; Carbon sink; Ecosystem; Growing season; Carbon cycle; Atmospheric sciences; Terrestrial ecosystem; Biometeorology; Seasonality; Soil respiration; Hydrology (agriculture); Climatology; Canopy; Soil water; Ecology; Biology; Soil science; Geology","score_opus":0.0077458301338679475,"score_gpt":0.2101232179226809,"score_spread":0.20237738778881295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382656969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859995,0.00008846461,0.0000063620505,0.00015864306,0.00008049678,0.00012364858,0.000015230113,0.00003374983,0.0008934775],"genre_scores_gemma":[0.99950534,0.00008691694,0.000105292835,0.000036040547,0.000023316768,0.000011743226,0.000023972905,0.0000050549247,0.0002023195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999129,0.000077260185,0.00016302512,0.00027842724,0.00010813107,0.0002441707],"domain_scores_gemma":[0.9996681,0.000102604725,0.000057093388,0.00008733245,0.0000069804555,0.000077888246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023947662,0.00012989498,0.00018098828,0.000030249483,0.00008292108,0.000014312425,0.00007493723,0.00009431137,0.00003273731],"category_scores_gemma":[0.000021020052,0.0000838321,0.000037956608,0.00017482706,0.00015383492,0.00018654717,0.0003353946,0.00011123752,0.000007545163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030852527,0.000010927827,0.9692196,0.000014468621,0.00002062703,0.000005842722,0.0006127185,0.0005667319,0.02824148,0.00027621438,0.00003346699,0.00096706784],"study_design_scores_gemma":[0.00028450985,0.00007276761,0.9868721,0.000008755299,0.00003404669,0.000031510328,0.00003789434,0.011493183,0.00026274516,0.0004795038,0.00029947286,0.0001235334],"about_ca_topic_score_codex":0.0026000442,"about_ca_topic_score_gemma":0.0023445566,"teacher_disagreement_score":0.027978735,"about_ca_system_score_codex":0.000043530777,"about_ca_system_score_gemma":0.0000014937577,"threshold_uncertainty_score":0.39305064},"labels":[],"label_agreement":null},{"id":"W4382877364","doi":"10.1016/j.agrformet.2023.109577","title":"Pre- and post-drought conditions drive resilience of Pinus halepensis across its distribution range","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"European Regional Development Fund; Universidad de Valladolid; Centre National de la Recherche Scientifique; Interreg; U.S. Forest Service; Ministry of Agriculture and Rural Development; University of Patras; Ministero dell’Istruzione, dell’Università e della Ricerca; Ministero della transizione ecologica; Javna Agencija za Raziskovalno Dejavnost RS; Agence Nationale de la Recherche","keywords":"Mediterranean climate; Environmental science; Precipitation; Range (aeronautics); Evapotranspiration; Dendrochronology; Growing season; Arid; Psychological resilience; Resilience (materials science); Climate change; Aleppo Pine; Climatology; Disturbance (geology); Mediterranean Basin; Physical geography; Geography; Ecology; Biology; Geology; Meteorology","score_opus":0.005449944515421656,"score_gpt":0.213609277584191,"score_spread":0.20815933306876933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382877364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984687,0.00005645927,0.000019568208,0.0004149964,0.000047002664,0.00014286661,0.00058594294,0.000028571296,0.00023587777],"genre_scores_gemma":[0.9984025,0.00015994052,0.000025921709,0.000031465726,0.000010178613,0.000015832038,0.00059329724,0.0000022410618,0.0007586556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932957,0.000037889065,0.00013994145,0.00019859528,0.000088467525,0.00020555734],"domain_scores_gemma":[0.9997282,0.00006989119,0.000060264647,0.00006426232,0.000017604278,0.000059778627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091600756,0.00009016652,0.00012862621,0.000011624325,0.00016154906,0.000012775896,0.00006796732,0.00008381128,0.000026115658],"category_scores_gemma":[0.00003003755,0.000057001016,0.000027966444,0.00020485997,0.00025489385,0.00017043471,0.00014210392,0.00006897591,0.00003630582],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010027297,0.000078820485,0.82149905,0.000035288766,0.00007154722,0.000039439787,0.0024784373,0.007668005,0.15563719,0.008347008,0.0014745018,0.0025704156],"study_design_scores_gemma":[0.00018470874,0.00010630213,0.9963817,0.0000046242744,0.000020614742,0.00010386438,0.00007651004,0.0020584005,0.00025483218,0.0005187514,0.00020345961,0.00008622702],"about_ca_topic_score_codex":0.00026919492,"about_ca_topic_score_gemma":0.0009165178,"teacher_disagreement_score":0.17488264,"about_ca_system_score_codex":0.00001550953,"about_ca_system_score_gemma":0.000001669545,"threshold_uncertainty_score":0.23244339},"labels":[],"label_agreement":null},{"id":"W4385173537","doi":"10.1016/j.agrformet.2023.109618","title":"Satellite-based land surface temperature and soil moisture observations accurately predict soil respiration in temperate deciduous and coniferous forests","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carbon Engineering (Canada); McMaster University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Deciduous; Environmental science; Temperate deciduous forest; Water content; Soil respiration; Temperate climate; Temperate forest; Satellite; Atmospheric sciences; Hydrology (agriculture); Soil science; Soil water; Ecology; Geology","score_opus":0.020012706062185106,"score_gpt":0.22637347197854182,"score_spread":0.20636076591635671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385173537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967097,0.00044393935,0.0000024010149,0.0020740014,0.00011160422,0.00028890587,0.000008662133,0.000076529606,0.0002842483],"genre_scores_gemma":[0.9985213,0.00041266883,0.00012781959,0.00040850186,0.0000617755,0.0000059565164,0.00013965664,0.0000114451595,0.0003108627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863636,0.0001262345,0.00025664098,0.00047523456,0.00015039582,0.00035511277],"domain_scores_gemma":[0.99946785,0.00018438985,0.0000762706,0.00012261886,0.000024491594,0.00012435857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023140112,0.00023960877,0.00026859212,0.000046533354,0.00025865945,0.0000959337,0.00007700803,0.00028172613,0.000004642522],"category_scores_gemma":[0.000065077955,0.00014742503,0.000029069131,0.0004411727,0.00026313952,0.00023294058,0.00010497945,0.00024422866,0.000017111714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006455023,0.000017291559,0.9574196,0.000017524635,0.000013910325,0.00003540699,0.00044782012,0.008839803,0.02992357,0.00003874321,0.00045982996,0.0027219919],"study_design_scores_gemma":[0.00076725683,0.00015266528,0.99545836,0.000019677593,0.000026540434,0.00008602964,0.000090754955,0.0013766526,0.0006986005,0.00079459144,0.00032008492,0.00020880975],"about_ca_topic_score_codex":0.0028331913,"about_ca_topic_score_gemma":0.13962762,"teacher_disagreement_score":0.13679443,"about_ca_system_score_codex":0.000032071068,"about_ca_system_score_gemma":0.000012106789,"threshold_uncertainty_score":0.87607193},"labels":[],"label_agreement":null},{"id":"W4385324722","doi":"10.1016/j.agrformet.2023.109619","title":"Sources of uncertainty in simulating crop N2O emissions under contrasting environmental conditions","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"EIT Climate-KIC; Agriculture and Agri-Food Canada; Analyses et Expérimentations pour les Ecosystèmes; Universidade Federal de Santa Maria; Indian Agricultural Research Institute; Queensland University of Technology; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Agence Nationale de la Recherche","keywords":"Environmental science; Nitrification; Agroecosystem; Simulation modeling; Greenhouse gas; Spatial variability; Atmospheric sciences; Nitrogen cycle; Soil science; Nitrogen; Ecology; Mathematics; Chemistry","score_opus":0.015105289832489292,"score_gpt":0.22392915118927598,"score_spread":0.20882386135678668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385324722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988973,0.00010138307,2.2055072e-7,0.00050750223,0.000049716047,0.00012029162,0.00006300717,0.000049550876,0.00021099724],"genre_scores_gemma":[0.99944514,0.000046092602,0.000009251701,0.000087298606,0.000057883073,0.000012691821,0.00024428495,8.6470055e-7,0.00009651776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999086,0.00007215579,0.00024445116,0.00021257023,0.00009894973,0.00028583285],"domain_scores_gemma":[0.99929625,0.0004922639,0.00009009586,0.000026982558,0.000014574865,0.00007982056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012519301,0.00012645064,0.00021109513,0.000022079455,0.00016167693,0.000013229246,0.000091903894,0.00011468649,0.000073727126],"category_scores_gemma":[0.00005084639,0.000045447276,0.000069083486,0.0003026317,0.00014690206,0.000060123904,0.00008240355,0.000116964875,0.000007743127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031010688,0.00006792098,0.6223268,0.0000066715857,0.000040536823,0.000013620406,0.00027365112,0.013931117,0.3580957,0.0017711659,0.000045452965,0.003396356],"study_design_scores_gemma":[0.00021971182,0.00012844283,0.98893577,0.000010201276,0.000017533886,0.000029680432,0.0018611763,0.0068686916,0.00021339973,0.0015564908,0.00004000553,0.00011887584],"about_ca_topic_score_codex":0.00040935772,"about_ca_topic_score_gemma":0.0016852325,"teacher_disagreement_score":0.36660898,"about_ca_system_score_codex":0.00001489435,"about_ca_system_score_gemma":0.0000027133215,"threshold_uncertainty_score":0.18532862},"labels":[],"label_agreement":null},{"id":"W4385517553","doi":"10.1016/j.agrformet.2023.109646","title":"UAV time-series imagery with novel machine learning to estimate heading dates of rice accessions for breeding","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sowing; Canopy; Cultivar; Mean squared error; Heading (navigation); Partial least squares regression; Coefficient of determination; Mathematics; Multispectral image; Correlation coefficient; Artificial intelligence; Statistics; Agronomy; Biology; Computer science; Botany; Geography","score_opus":0.010742635605593982,"score_gpt":0.2414275939066038,"score_spread":0.2306849583010098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385517553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965163,0.000025007803,0.00049196044,0.0017143239,0.000073158386,0.00029021408,0.000022945303,0.00011353169,0.00075254386],"genre_scores_gemma":[0.9782582,0.0000140025695,0.019034274,0.00007450631,0.00006236828,0.000013427481,0.00013317319,0.00001448189,0.0023955465],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989091,0.000026620226,0.00020007849,0.00034788315,0.00014278316,0.00037350898],"domain_scores_gemma":[0.999436,0.00021886487,0.00011585452,0.00008684674,0.000029312892,0.00011311747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018002058,0.00019115617,0.00027475698,0.00004552274,0.0002932435,0.00003719681,0.00015789909,0.00008405031,0.000027763717],"category_scores_gemma":[0.00015067715,0.00009661052,0.00004520901,0.00054144184,0.00015402524,0.00030013555,0.00026367264,0.00013542105,0.00004740092],"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":[0.00009624724,0.000022128846,0.036854144,0.000033503577,0.000035077148,0.0000048940715,0.0005503092,0.014826738,0.94349444,0.000102345424,0.0027484861,0.0012316647],"study_design_scores_gemma":[0.00045453355,0.00075858313,0.9802012,0.000053994434,0.00007019762,0.00023248923,0.0002469126,0.0060993363,0.008625722,0.00026757125,0.002658743,0.00033074222],"about_ca_topic_score_codex":0.00023613231,"about_ca_topic_score_gemma":0.0003122274,"teacher_disagreement_score":0.94334704,"about_ca_system_score_codex":0.000024052582,"about_ca_system_score_gemma":0.000002831554,"threshold_uncertainty_score":0.3939663},"labels":[],"label_agreement":null},{"id":"W4385975854","doi":"10.1016/j.agrformet.2023.109657","title":"Crop water use efficiency from eddy covariance methods in cold water-limited regions","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","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":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Eddy covariance; Water-use efficiency; Evapotranspiration; Environmental science; Agronomy; Water use; Crop yield; Transpiration; Irrigation; Ecosystem; Ecology; Biology; Photosynthesis","score_opus":0.01600016386945293,"score_gpt":0.23506982170475513,"score_spread":0.2190696578353022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385975854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973649,0.00001742061,0.0007606575,0.0010915716,0.00019249835,0.00016958755,0.000027398337,0.000069055954,0.00030695982],"genre_scores_gemma":[0.9939342,0.000055307468,0.0032114426,0.00018748804,0.000028600874,0.000036925314,0.00033725647,0.0000070415745,0.0022017485],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987615,0.00014702506,0.00022009345,0.00034590502,0.00009599612,0.0004295219],"domain_scores_gemma":[0.99962467,0.0001223145,0.000028647277,0.00013710275,0.000007772855,0.000079509475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021718054,0.00015184931,0.00018956492,0.000052350202,0.00015024199,0.000051199502,0.000152964,0.00012955624,0.0001286098],"category_scores_gemma":[0.000018350976,0.000071987444,0.000042381427,0.00022147511,0.00020275936,0.00022931087,0.00022167822,0.0001535983,0.00030707213],"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":[0.0000624006,0.00012448136,0.07181236,0.00000632771,0.0000519113,0.00011976608,0.0033207592,0.10071435,0.8147464,0.006721228,0.001232145,0.0010879061],"study_design_scores_gemma":[0.001345913,0.00027069132,0.8620812,0.000017790102,0.000096084426,0.0001008981,0.00014820896,0.04882988,0.017449874,0.008520396,0.060324654,0.0008144009],"about_ca_topic_score_codex":0.0025267852,"about_ca_topic_score_gemma":0.002004507,"teacher_disagreement_score":0.79729646,"about_ca_system_score_codex":0.000035428173,"about_ca_system_score_gemma":0.0000014101452,"threshold_uncertainty_score":0.39468935},"labels":[],"label_agreement":null},{"id":"W4386064733","doi":"10.1016/j.agrformet.2023.109672","title":"Interannual variation in gross ecosystem production and evapotranspiration in a temperate semiarid grassland undergoing vegetation recovery","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Eddy covariance; Evapotranspiration; Environmental science; Vapour Pressure Deficit; Water-use efficiency; Transpiration; Ecosystem; Vegetation (pathology); Grassland; Temperate climate; Canopy; Ecosystem respiration; Hydrology (agriculture); Biometeorology; Interception; Atmospheric sciences; Agronomy; Ecology; Photosynthesis; Irrigation; Biology; Botany","score_opus":0.00553096084356203,"score_gpt":0.18468796609781793,"score_spread":0.1791570052542559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386064733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990495,0.000024766505,0.000046708526,0.00037633066,0.00014324408,0.00020757229,0.0000045435713,0.000024696055,0.00012263299],"genre_scores_gemma":[0.9995703,0.00014840091,0.00004531614,0.000014886326,0.000022141874,0.00003261172,0.000079688594,0.0000032316773,0.000083393665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992635,0.00008526868,0.0001958048,0.00023868447,0.0000682834,0.00014843146],"domain_scores_gemma":[0.9998391,0.000044037497,0.00004902719,0.00003833082,0.0000058431315,0.000023621913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026364837,0.00008763518,0.000107851454,0.00007903633,0.000060694678,0.000028918952,0.000029252564,0.000088388144,0.0000032277565],"category_scores_gemma":[0.000029043222,0.000062212275,0.000012294555,0.00030796503,0.000023420462,0.00040772586,0.000027174276,0.00009270377,0.000013499886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054617856,0.000022835287,0.7717454,0.00004066519,0.000010148752,0.0000074595773,0.0021042286,0.1929248,0.03144519,0.00034326199,0.000016134216,0.0012852843],"study_design_scores_gemma":[0.00027632053,0.000080269056,0.9662391,0.000029344985,0.000007536069,0.000042698615,0.000047881258,0.031751744,0.000049873466,0.0013717974,0.000013802301,0.00008962461],"about_ca_topic_score_codex":0.00031241286,"about_ca_topic_score_gemma":0.057710525,"teacher_disagreement_score":0.19449374,"about_ca_system_score_codex":0.00006349904,"about_ca_system_score_gemma":0.000003131913,"threshold_uncertainty_score":0.9594838},"labels":[],"label_agreement":null},{"id":"W4386111915","doi":"10.1016/j.agrformet.2023.109658","title":"Improving the ability of solar-induced chlorophyll fluorescence to track gross primary production through differentiating sunlit and shaded leaves","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Office of Science; National Natural Science Foundation of China; National Key Research and Development Program of China; U.S. Department of Energy","keywords":"Primary production; Canopy; Environmental science; Atmospheric sciences; Mean squared error; Chlorophyll fluorescence; Flux (metallurgy); Photosynthesis; Meteorology; Mathematics; Botany; Chemistry; Physics; Statistics; Ecology","score_opus":0.0111126267175828,"score_gpt":0.19736547576366634,"score_spread":0.18625284904608352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386111915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987334,0.000019383753,0.00002379046,0.0007093433,0.00010742531,0.00028299837,0.00000863337,0.000034104203,0.000080913516],"genre_scores_gemma":[0.999492,0.000030081928,0.00027354015,0.00003966581,0.00003614754,0.000021518505,0.000024158271,0.0000039011916,0.00007901602],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990926,0.00005869861,0.00019517915,0.0003109253,0.000119820594,0.00022279957],"domain_scores_gemma":[0.9996789,0.00006652292,0.00008084844,0.00011961581,0.00001118153,0.000042900738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019663085,0.000117368036,0.00015731725,0.000013843228,0.0001972974,0.000023663339,0.00011074529,0.00007051878,0.000006892381],"category_scores_gemma":[0.000056255147,0.000060096805,0.000031987835,0.00022754192,0.00016644507,0.00020190353,0.00022166688,0.00012208884,0.000007911025],"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":[0.000026260552,0.000021432112,0.12740819,0.000027294147,0.0000123390755,0.0000010653989,0.0016338102,0.00049801584,0.8624943,0.00017781678,0.000025629857,0.0076738726],"study_design_scores_gemma":[0.00009832758,0.00010635967,0.9927259,0.0000051585607,0.000020091695,0.000025543366,0.00013271863,0.001379031,0.004650804,0.0007466318,0.000014581194,0.00009486519],"about_ca_topic_score_codex":0.00047733652,"about_ca_topic_score_gemma":0.0002977686,"teacher_disagreement_score":0.8653177,"about_ca_system_score_codex":0.000022936561,"about_ca_system_score_gemma":0.0000023629066,"threshold_uncertainty_score":0.24506767},"labels":[],"label_agreement":null},{"id":"W4386130525","doi":"10.1016/j.agrformet.2023.109677","title":"Time-lag effects of flood stimulation on methane emissions in the Dongting Lake floodplain, China","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Key Research and Development Program of China; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Ministry of Water Resources; Natural Science Foundation for Distinguished Young Scholars of Hunan Province; National Natural Science Foundation of China","keywords":"Environmental science; Wetland; Floodplain; Flood myth; Hydrology (agriculture); Ecosystem; Water level; Greenhouse gas; Eddy covariance; Flooding (psychology); Atmospheric sciences; Ecology; Geography; Geology","score_opus":0.003931480110717456,"score_gpt":0.19261086765047022,"score_spread":0.18867938753975277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386130525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982202,0.000021979198,0.000025425723,0.00043028546,0.000051740513,0.0002310083,0.0000016311363,0.000023356137,0.0009943848],"genre_scores_gemma":[0.99896425,0.00004245143,0.0003443584,0.000112209724,0.000022721393,0.0000205184,0.000033253065,0.000005050569,0.00045517884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991452,0.00011266953,0.00016086675,0.00020212797,0.00015292731,0.0002261765],"domain_scores_gemma":[0.9995472,0.0002423182,0.00006402615,0.00010073125,0.0000014158495,0.00004432074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020243438,0.00012614959,0.00015886118,0.000009059688,0.00008951109,0.000005150096,0.00013467604,0.00008687895,0.0000877671],"category_scores_gemma":[0.00005685678,0.00006335349,0.00004110528,0.00030690143,0.0001606407,0.00007228089,0.000114208364,0.00012966366,0.00008279289],"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":[0.000104096325,0.00030369897,0.36581397,0.000047481553,0.000051614756,0.000052585376,0.003988252,0.5586555,0.0522691,0.00048640906,0.001122834,0.01710446],"study_design_scores_gemma":[0.0003477161,0.00026201105,0.9891174,0.000009435898,0.000022140122,0.0000137753,0.0001510212,0.009202325,0.00017545538,0.00044805591,0.00016078335,0.00008989989],"about_ca_topic_score_codex":0.00011732532,"about_ca_topic_score_gemma":0.00026305183,"teacher_disagreement_score":0.6233034,"about_ca_system_score_codex":0.000018342442,"about_ca_system_score_gemma":0.0000010354211,"threshold_uncertainty_score":0.25834805},"labels":[],"label_agreement":null},{"id":"W4386365037","doi":"10.1016/j.agrformet.2023.109686","title":"Using thermal imagery and changes in stem radius to assess water stress in two coniferous tree species","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Environmental science; Vapour Pressure Deficit; Pinus contorta; Water content; Canopy; Abiotic component; Biometeorology; Moisture stress; Forest ecology; Ecosystem; Atmospheric sciences; Hydrology (agriculture); Ecology; Transpiration; Biology; Botany; Geology","score_opus":0.028097910490781055,"score_gpt":0.23222974718813766,"score_spread":0.2041318366973566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386365037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99878496,0.00002461975,0.0000035715366,0.00047997112,0.000059548645,0.0001384064,0.000013239711,0.000016901466,0.00047875688],"genre_scores_gemma":[0.9993563,0.000038688093,0.000072118506,0.000054932494,0.000021664704,0.000013758733,0.000029379202,0.0000037956038,0.00040935684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926704,0.000054859192,0.000116226714,0.00020705722,0.00006861867,0.0002861692],"domain_scores_gemma":[0.9998375,0.000039318005,0.000018257304,0.000050170525,0.0000027664234,0.000051951494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011895181,0.00010653147,0.00015295164,0.00006248066,0.00004759093,0.000028420565,0.00006620762,0.00004787292,0.000021550843],"category_scores_gemma":[0.000002049043,0.00005758509,0.000012078959,0.00016602027,0.00007806778,0.00011115058,0.00016824623,0.00008289479,0.00001683595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018032362,0.000013538248,0.8250759,0.0000046875866,0.0000055716514,0.000073548035,0.0007944775,0.013532243,0.1584894,0.00010573088,0.0000112885555,0.0018755447],"study_design_scores_gemma":[0.00028323795,0.000045359415,0.9933845,0.0000069908306,0.0000064467804,0.000054859964,0.00019790286,0.004106418,0.0016151369,0.00010243353,0.00007933802,0.000117379255],"about_ca_topic_score_codex":0.0007150452,"about_ca_topic_score_gemma":0.024697216,"teacher_disagreement_score":0.16830857,"about_ca_system_score_codex":0.00003312993,"about_ca_system_score_gemma":0.0000010195976,"threshold_uncertainty_score":0.9930995},"labels":[],"label_agreement":null},{"id":"W4386518591","doi":"10.1016/j.agrformet.2023.109696","title":"Interannual variability of carbon dioxide (CO2) and methane (CH4) fluxes in a rewetted temperate bog","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Peatlands and Wetlands 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":true,"ca_institutions":"Capital Regional District; McGill University; University of British Columbia","funders":"","keywords":"Bog; Peat; Environmental science; Eddy covariance; Temperate climate; Sink (geography); Mire; Carbon sink; Carbon dioxide; Ecosystem respiration; Atmospheric sciences; Ecosystem; Wetland; Carbon cycle; Hydrology (agriculture); Climatology; Ecology; Geology; Geography; Biology","score_opus":0.006900283673283527,"score_gpt":0.20781517298290608,"score_spread":0.20091488930962256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386518591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980806,0.000042785134,8.188295e-7,0.0006337219,0.00007639334,0.00014989787,0.000010447933,0.000027212596,0.0009780833],"genre_scores_gemma":[0.999492,0.00010875634,0.0000484972,0.0000654359,0.000024030784,0.000026560605,0.00005581474,0.000003823365,0.00017506542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882424,0.00017903617,0.00025688024,0.00032676238,0.00007532649,0.0003377276],"domain_scores_gemma":[0.9995552,0.00019041289,0.00006289444,0.000096477954,0.000009180876,0.000085879205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040261284,0.00013849192,0.00031962505,0.000050188606,0.000035394787,0.0000058246064,0.000088146204,0.00013368863,0.00005531354],"category_scores_gemma":[0.00011042807,0.00008176519,0.00003042364,0.00030989616,0.00025474973,0.00008411329,0.00022975239,0.00012748492,0.0000053848917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064119056,0.000026028678,0.9417623,0.000009944773,0.000015558418,0.0000090623835,0.00041141492,0.000056846133,0.056916937,0.00011616272,0.00011409328,0.00049751217],"study_design_scores_gemma":[0.0005934126,0.00027794455,0.996299,0.0000046529512,0.00001718405,0.000036024954,0.000097867916,0.0002324517,0.0006667385,0.0013501407,0.00031183075,0.00011271971],"about_ca_topic_score_codex":0.0021439646,"about_ca_topic_score_gemma":0.0075370492,"teacher_disagreement_score":0.056250196,"about_ca_system_score_codex":0.00002402002,"about_ca_system_score_gemma":0.0000035372013,"threshold_uncertainty_score":0.42058504},"labels":[],"label_agreement":null},{"id":"W4386618133","doi":"10.1016/j.agrformet.2023.109687","title":"The role of surface energy fluxes in determining mixing layer heights","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Radiosonde; Environmental science; Sensible heat; Mixed layer; Forcing (mathematics); Atmospheric sciences; Climatology; Flux (metallurgy); Latent heat; Ceilometer; Meteorology; Aerosol; Chemistry; Geography; Physics; Geology","score_opus":0.004787661797553309,"score_gpt":0.1787712153090561,"score_spread":0.1739835535115028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386618133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981231,0.00019906594,0.000018042141,0.00012961439,0.00004889107,0.00004488916,5.726987e-7,0.000016984675,0.0014188272],"genre_scores_gemma":[0.9984102,0.00033945186,0.00045006245,0.000035675243,0.000012614309,0.000007129446,0.000004243471,0.000004749003,0.0007358241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992668,0.000043673164,0.00016097045,0.00017310667,0.000094365314,0.0002610905],"domain_scores_gemma":[0.99970514,0.00011760802,0.000055701337,0.00007798516,0.0000015097728,0.000042066233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010262154,0.00010145216,0.00012527946,0.0000035079881,0.00012249233,0.000007911024,0.00012953825,0.000065198314,0.000025781068],"category_scores_gemma":[0.000008015226,0.000052050764,0.000031033058,0.00017980373,0.00023040664,0.00008361803,0.00020705254,0.00006308456,0.000019966148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019424338,0.000019634148,0.8930458,0.0000020398436,0.000014212575,0.000008169695,0.00048354352,0.050887443,0.03156887,0.001470867,0.00009026623,0.022389723],"study_design_scores_gemma":[0.0001277763,0.000076147226,0.98245156,0.0000028141797,0.0000064354185,0.000015912565,0.0006689743,0.009755295,0.0006146986,0.002913179,0.0032721562,0.00009504098],"about_ca_topic_score_codex":0.0007121454,"about_ca_topic_score_gemma":0.0017345964,"teacher_disagreement_score":0.08940577,"about_ca_system_score_codex":0.000024061324,"about_ca_system_score_gemma":0.0000010903362,"threshold_uncertainty_score":0.21225686},"labels":[],"label_agreement":null},{"id":"W4386911899","doi":"10.1016/j.agrformet.2023.109681","title":"Effects of interaction between forest structure and precipitation event characteristics on fuel moisture conditions","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Microclimate; Precipitation; Water content; Atmospheric sciences; Evapotranspiration; Meteorology; Moisture; Geography; Ecology; Geology","score_opus":0.004815535388134298,"score_gpt":0.21544075800315285,"score_spread":0.21062522261501854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386911899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989068,0.000019873774,0.000011913177,0.00024369823,0.0002636969,0.00039007113,0.000057204612,0.000036559766,0.00007018066],"genre_scores_gemma":[0.9994319,0.000027268803,0.000022914654,0.000034768367,0.000086019725,0.000033804256,0.0002759382,0.000006241489,0.00008111894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992192,0.000093782524,0.00018190288,0.00022459077,0.000113227914,0.00016733477],"domain_scores_gemma":[0.9993138,0.00040295097,0.00013753027,0.000068835216,0.000011200753,0.000065711174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007640952,0.00013583121,0.00021029645,0.0000408366,0.000081772065,0.000013718571,0.00006109642,0.00012069227,0.000020347296],"category_scores_gemma":[0.00008391654,0.00008531557,0.000030981264,0.00015861519,0.00011971436,0.00014245766,0.00006957685,0.00012586823,0.000037896432],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046546862,0.00003651199,0.93826646,0.0002319367,0.00006760648,0.0000074362742,0.0007773376,0.0002736305,0.053270195,0.0006091616,0.0011565238,0.005256671],"study_design_scores_gemma":[0.0002694653,0.0004668027,0.9966772,0.000027106722,0.00004976345,0.000016996164,0.00004088297,0.00028001185,0.00086998066,0.0009796369,0.00022078188,0.00010136362],"about_ca_topic_score_codex":0.00015193984,"about_ca_topic_score_gemma":0.00049118215,"teacher_disagreement_score":0.058410764,"about_ca_system_score_codex":0.000031561565,"about_ca_system_score_gemma":0.0000013551304,"threshold_uncertainty_score":0.34790683},"labels":[],"label_agreement":null},{"id":"W4386915524","doi":"10.1016/j.agrformet.2023.109723","title":"Crop residue retention increases greenhouse gas emissions but reduces chemical fertilizer requirement in a vegetable-rice rotation","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Agronomy; Fertilizer; Environmental science; Crop residue; Straw; Greenhouse gas; Crop rotation; Soil carbon; Nitrous oxide; Crop yield; Crop; Soil water; Chemistry; Agriculture; Biology; Soil science","score_opus":0.02319214462342326,"score_gpt":0.23118589515621657,"score_spread":0.20799375053279331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386915524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970777,0.00029269146,2.2153401e-7,0.0018161606,0.000097484466,0.00026856433,0.000019812464,0.00016613089,0.0002612465],"genre_scores_gemma":[0.9984792,0.00035485844,0.00005134777,0.00012634085,0.00015635301,0.000085127045,0.00039775943,0.0000020539578,0.0003469657],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983891,0.00015612191,0.00034942644,0.00044380632,0.00020691985,0.00045457383],"domain_scores_gemma":[0.99938405,0.00021596,0.00010771968,0.000058707614,0.0000744812,0.00015905644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027147005,0.00021241074,0.00027042293,0.00004285998,0.00018146934,0.000046038072,0.00016665294,0.00021451767,0.000040699113],"category_scores_gemma":[0.0001744068,0.0000795567,0.00009578202,0.00074564444,0.00012770505,0.00018414868,0.00013490883,0.00017563162,0.000030433015],"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":[0.00018554054,0.00010693438,0.03819252,0.000013584257,0.000022967559,0.000026240086,0.000118547374,0.000024752351,0.9553936,0.00035145404,0.000459413,0.005104425],"study_design_scores_gemma":[0.000381676,0.00029463263,0.9842122,0.000029164767,0.000036645124,0.00006030898,0.000589202,0.0007361295,0.01142868,0.0018341279,0.00015062743,0.0002465706],"about_ca_topic_score_codex":0.002724743,"about_ca_topic_score_gemma":0.0059000314,"teacher_disagreement_score":0.9460197,"about_ca_system_score_codex":0.000040388808,"about_ca_system_score_gemma":0.00000790799,"threshold_uncertainty_score":0.41190144},"labels":[],"label_agreement":null},{"id":"W4387080444","doi":"10.1016/j.agrformet.2023.109732","title":"How will increased atmospheric CO2 and climate change-induced wind trends alter the probability of tree failures from wind gusts","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Betula pendula; Environmental science; Climate change; Wind speed; Tree (set theory); Atmospheric sciences; Psychological resilience; Climatology; Meteorology; Geography; Ecology; Geology; Biology; Mathematics","score_opus":0.021684039356399645,"score_gpt":0.2081701866739161,"score_spread":0.18648614731751645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387080444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882369,0.00039218305,4.467427e-8,0.010527138,0.00008438822,0.00034034633,0.00024096986,0.00008879051,0.00008921401],"genre_scores_gemma":[0.9987051,0.00031920045,0.000036528894,0.00016765208,0.0002406533,0.000035852125,0.0003758973,0.0000017980482,0.000117352414],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99812686,0.00032718544,0.00026003213,0.00050082966,0.0001988268,0.00058625295],"domain_scores_gemma":[0.998704,0.0007763024,0.00018516062,0.000103927756,0.000071288574,0.00015930239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026092652,0.0002907265,0.0004292749,0.000011664956,0.0002638535,0.00008607989,0.0002624015,0.00023778161,0.00005354302],"category_scores_gemma":[0.0001109109,0.00008272197,0.000101554666,0.0006805956,0.00026598427,0.00028255497,0.0002361214,0.00018858495,0.0000064830156],"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":[0.0006147351,0.00008721036,0.271981,0.000022428714,0.00014789296,0.00002510676,0.00050195144,0.0000050998597,0.6162303,0.0006568492,0.00065985013,0.109067574],"study_design_scores_gemma":[0.00035622332,0.0005916567,0.99373716,0.0000133743015,0.000071389026,0.00003990887,0.0003301068,0.00011606864,0.0010378503,0.0007040574,0.002788768,0.0002134247],"about_ca_topic_score_codex":0.0027246147,"about_ca_topic_score_gemma":0.012570466,"teacher_disagreement_score":0.72175616,"about_ca_system_score_codex":0.0000139723425,"about_ca_system_score_gemma":0.000004369011,"threshold_uncertainty_score":0.7014615},"labels":[],"label_agreement":null},{"id":"W4387213318","doi":"10.1016/j.agrformet.2023.109742","title":"Divergent response of leaf unfolding to climate warming in subtropical and temperate zones","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Subtropics; Temperate climate; Environmental science; Tropical and subtropical moist broadleaf forests; Climate change; Temperate rainforest; Phenology; Ecosystem; Ecology; Atmospheric sciences; Biology; Geology","score_opus":0.008699727699877884,"score_gpt":0.2077687292495492,"score_spread":0.1990690015496713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387213318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99919665,0.000020804557,0.000004639644,0.0005701143,0.000043641256,0.00008641784,0.000009272051,0.00001492403,0.000053559263],"genre_scores_gemma":[0.999554,0.00011984017,0.00014000482,0.000037375437,0.000006121292,0.000008584782,0.000010561343,0.0000021933492,0.00012134824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993852,0.000057654022,0.0001392614,0.0001600724,0.000062077364,0.00019574785],"domain_scores_gemma":[0.9998056,0.00006634899,0.000024902634,0.000042541556,0.0000032705154,0.00005731264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017950381,0.00007201777,0.00012217413,0.00004553987,0.000059166094,0.000007841076,0.00004879242,0.000049986356,0.00001479047],"category_scores_gemma":[0.000023628314,0.000044040422,0.000015379364,0.00022490622,0.00006178854,0.00006742714,0.00020259929,0.000050840263,0.000023617566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012811915,0.000009373378,0.91939247,0.000005170838,0.0000048893994,0.000012631548,0.0004998264,0.0044888244,0.07432237,0.00061988976,0.000031930653,0.00048453454],"study_design_scores_gemma":[0.00015463383,0.0001061412,0.9969447,0.000006019897,0.0000062675776,0.0000264195,0.000090969595,0.0020088083,0.00028237028,0.00016370953,0.00013970768,0.00007020422],"about_ca_topic_score_codex":0.00021020071,"about_ca_topic_score_gemma":0.0006923528,"teacher_disagreement_score":0.07755231,"about_ca_system_score_codex":0.000015518752,"about_ca_system_score_gemma":0.0000010295053,"threshold_uncertainty_score":0.17959163},"labels":[],"label_agreement":null},{"id":"W4387229330","doi":"10.1016/j.agrformet.2023.109740","title":"Prominent Impact of Diurnal Rainfall Variations on Evapotranspiration and Gross Primary Productivity in Forests over Low Latitudes","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Noon; Evapotranspiration; Environmental science; Precipitation; Daytime; Diurnal temperature variation; Atmospheric sciences; Latitude; Climatology; Morning; Primary production; Ecosystem; Meteorology; Geography; Geology; Ecology","score_opus":0.006700525520567081,"score_gpt":0.2145280056805779,"score_spread":0.20782748016001082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387229330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991741,0.0000103210095,0.000019440306,0.0001898764,0.000028293713,0.00023020011,0.000024516576,0.000013830812,0.0003093907],"genre_scores_gemma":[0.99968463,0.000026286494,0.000055383425,0.000012320057,0.000015820911,0.000020189462,0.000092486545,0.000002774311,0.00009013027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993794,0.000040788902,0.00014860395,0.00018219143,0.00009763893,0.0001513609],"domain_scores_gemma":[0.999793,0.000047736517,0.00005739733,0.00005708005,0.000005950556,0.00003882201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001509862,0.000094028175,0.00013127358,0.000044894627,0.000054715274,0.000011631297,0.000042701657,0.000062962456,0.000014722939],"category_scores_gemma":[0.000014768807,0.000054262822,0.000031683572,0.00020643375,0.00008623356,0.00018446201,0.000044285465,0.000081479055,0.000004305187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039067876,0.00004706918,0.9497357,0.00001045686,0.000015608184,0.0000026398754,0.0003105902,0.032392357,0.016072402,0.00068787846,0.000022792989,0.0006634523],"study_design_scores_gemma":[0.00031885333,0.00022734492,0.9879782,0.000007404371,0.000010692205,0.000014521389,0.0000018223219,0.0098551605,0.000043069045,0.001457709,0.000010615914,0.0000745635],"about_ca_topic_score_codex":0.0004127491,"about_ca_topic_score_gemma":0.0044809896,"teacher_disagreement_score":0.038242556,"about_ca_system_score_codex":0.00004664117,"about_ca_system_score_gemma":0.000004660479,"threshold_uncertainty_score":0.25004974},"labels":[],"label_agreement":null},{"id":"W4387423755","doi":"10.1016/j.agrformet.2023.109739","title":"A prognostic vegetation phenology model to predict seasonal maximum and time series of global leaf area index using climate variables","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biome; Leaf area index; Phenology; Environmental science; Vegetation (pathology); Climate change; Normalized Difference Vegetation Index; Climatology; Atmospheric sciences; Ecology; Ecosystem; Biology; Geology","score_opus":0.010658664257646345,"score_gpt":0.20653348415712858,"score_spread":0.19587481989948224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387423755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979793,0.000046574416,0.00024169135,0.0005530639,0.00006637439,0.00028239735,0.000028208371,0.00006985972,0.0007325432],"genre_scores_gemma":[0.9957176,0.000028859246,0.004017561,0.00007173675,0.0000306187,0.0000050285835,0.000044096792,0.0000055026526,0.00007898816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988445,0.00006216938,0.00020453653,0.0003527514,0.0001591451,0.0003769139],"domain_scores_gemma":[0.99963063,0.000055603552,0.000094059345,0.000082084465,0.000026892665,0.000110734734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012600199,0.00018210738,0.00025462543,0.000020504742,0.00013004996,0.000021407004,0.00009656012,0.0001657779,0.000013886243],"category_scores_gemma":[0.00006585206,0.000109965484,0.000031162064,0.00040450183,0.00024900687,0.00019815682,0.00029181872,0.000085412255,0.00003223263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016013974,0.00004268345,0.72164243,0.00005707802,0.00006578611,0.000017075918,0.00052881293,0.21746543,0.055954576,0.0013557122,0.0007957765,0.0019144733],"study_design_scores_gemma":[0.0002049279,0.00020474844,0.8868603,0.000019249926,0.000053671738,0.0002523079,0.000068298155,0.10728174,0.00006188043,0.0048215245,0.000028997369,0.00014232559],"about_ca_topic_score_codex":0.000099736404,"about_ca_topic_score_gemma":0.00037145757,"teacher_disagreement_score":0.16521786,"about_ca_system_score_codex":0.000048070226,"about_ca_system_score_gemma":0.000007144661,"threshold_uncertainty_score":0.44842625},"labels":[],"label_agreement":null},{"id":"W4387647182","doi":"10.1016/j.agrformet.2023.109741","title":"Drivers and spatiotemporal patterns of post-drought growth resilience of four temperate broad-leaved trees","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Fraxinus; Temperate climate; Temperate rainforest; Resistance (ecology); Climate change; Biology; Latitude; Geography; Ecology; Forestry; Agroforestry; Environmental science; Ecosystem","score_opus":0.012177141540604446,"score_gpt":0.20436732992048895,"score_spread":0.1921901883798845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387647182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998751,0.00017651719,0.0000019660783,0.00054441433,0.00008529371,0.000112116424,0.00017243384,0.000034042263,0.00012224003],"genre_scores_gemma":[0.99902195,0.00050799083,0.00010996895,0.000029197647,0.000026539494,0.0000011190488,0.000116880256,0.0000021624933,0.00018421652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990233,0.00011060128,0.0002404511,0.00023849423,0.00013566148,0.0002514486],"domain_scores_gemma":[0.99933004,0.0003014505,0.00012845795,0.000081719176,0.00007498483,0.00008336427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001492525,0.00013720017,0.00027213118,0.000100958474,0.00008318156,0.000014599712,0.00012629206,0.00008704037,0.00005663845],"category_scores_gemma":[0.00009138882,0.00008048032,0.000043605814,0.0002360378,0.00020699849,0.00018069359,0.000036128666,0.00007529111,0.000013252929],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113233036,0.0000056965055,0.99176264,0.00004683458,0.000023989394,0.00001227584,0.0002778048,0.00014036607,0.0051930607,0.00013369598,0.000047847367,0.0022425451],"study_design_scores_gemma":[0.00030599505,0.00052602973,0.99683285,0.000019845014,0.000022905047,0.000050918625,0.0004342959,0.00024727188,0.0012545324,0.00016505683,0.000031000563,0.000109306944],"about_ca_topic_score_codex":0.004593577,"about_ca_topic_score_gemma":0.015622046,"teacher_disagreement_score":0.011028469,"about_ca_system_score_codex":0.0000015461534,"about_ca_system_score_gemma":0.000012667231,"threshold_uncertainty_score":0.8717468},"labels":[],"label_agreement":null},{"id":"W4387762851","doi":"10.1016/j.agrformet.2023.109763","title":"Sapling recruitment does not compensate for increased tree mortality under climate change","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Ecology; Neighbourhood (mathematics); Ecosystem; Biology; Geography; Environmental science; Physical geography; Mathematics","score_opus":0.10444825341675383,"score_gpt":0.2920493743425172,"score_spread":0.18760112092576336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387762851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965517,0.00016571041,0.0000039184747,0.0013130096,0.0003781486,0.0007065789,0.00045842724,0.00017920457,0.0002433078],"genre_scores_gemma":[0.997914,0.0004266645,0.00022767468,0.00036531483,0.0002086012,0.00006741821,0.00069980434,0.000004627276,0.00008586455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855053,0.00011584631,0.000247118,0.00037103097,0.00013348163,0.00058201025],"domain_scores_gemma":[0.9989193,0.000672565,0.00009796104,0.00012734656,0.000037275702,0.00014557043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004270107,0.00020382021,0.00030657914,0.00007725882,0.00029385564,0.0000527487,0.00014002997,0.000112515925,0.000096762094],"category_scores_gemma":[0.00004974824,0.00010321182,0.000088333436,0.00019474249,0.0001123502,0.00016860664,0.00004181752,0.00008846563,0.00011405526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043886263,0.00002026471,0.9743039,0.00009348505,0.000105405044,0.00002230815,0.00023896247,0.00031153657,0.0022541217,0.0016648483,0.00014157471,0.02040471],"study_design_scores_gemma":[0.00049716845,0.00025406244,0.99527633,0.000012661129,0.000065355795,0.000022644446,0.00021807248,0.001337027,0.00027643456,0.0011873593,0.00065894565,0.0001939493],"about_ca_topic_score_codex":0.0019231298,"about_ca_topic_score_gemma":0.0406773,"teacher_disagreement_score":0.038754173,"about_ca_system_score_codex":0.000005529385,"about_ca_system_score_gemma":0.0000068931663,"threshold_uncertainty_score":0.97682786},"labels":[],"label_agreement":null},{"id":"W4387834899","doi":"10.1016/j.agrformet.2023.109762","title":"Quantification of soil N2O and CH4 fluxes using the flux gradient method on a drainage water managed farm on the eastern shore of Maryland","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental science; Denitrification; Drainage; Greenhouse gas; Ditch; Hydrology (agriculture); Nitrous oxide; Water table; Soil water; Nitrate; Groundwater; Nitrogen; Soil science; Ecology","score_opus":0.020527892708570954,"score_gpt":0.23088285397861386,"score_spread":0.2103549612700429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387834899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971715,0.000015535008,0.000058524583,0.0020495572,0.000073713316,0.00020271447,0.000007874093,0.0000118700855,0.000408669],"genre_scores_gemma":[0.9994401,0.000023895514,0.00006926533,0.00010799349,0.000017535856,0.000013244855,0.000052875686,0.000004495602,0.00027063477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991556,0.00014239404,0.00016731895,0.00021154748,0.00013164213,0.00019153029],"domain_scores_gemma":[0.99959946,0.00015192646,0.00006944466,0.00014233698,0.000008374063,0.000028489418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035027115,0.000118048985,0.00015126579,0.000028597018,0.00014553,0.00001384959,0.00013805814,0.000054405147,0.0000070865804],"category_scores_gemma":[0.000012309625,0.00004107636,0.00004303602,0.0001425287,0.000259975,0.000038916507,0.00014962554,0.00008509419,0.000007155237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006358542,0.0003019021,0.7334387,0.00014907404,0.00027979736,0.000019767427,0.01955007,0.019289369,0.18329307,0.024420816,0.0007833219,0.017838256],"study_design_scores_gemma":[0.00038973958,0.00045878495,0.95019263,0.00001926281,0.00008081163,0.000029014702,0.0014520044,0.022460876,0.006775723,0.017598584,0.0003854696,0.00015707673],"about_ca_topic_score_codex":0.00034568075,"about_ca_topic_score_gemma":0.00015407751,"teacher_disagreement_score":0.21675396,"about_ca_system_score_codex":0.000010713905,"about_ca_system_score_gemma":6.7808696e-7,"threshold_uncertainty_score":0.16750453},"labels":[],"label_agreement":null},{"id":"W4387834938","doi":"10.1016/j.agrformet.2023.109765","title":"Growth responses to climate warming and their physiological mechanisms differ between mature and young larch trees in a boreal permafrost region","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Swiss Federal Institute for Forest, Snow and Landscape Research; China Scholarship Council; National Natural Science Foundation of China","keywords":"Larch; Permafrost; Dendrochronology; Climate change; Global warming; Environmental science; Period (music); Taiga; Atmospheric sciences; Dendroclimatology; Boreal; δ13C; Ecology; Climatology; Biology; Stable isotope ratio; Geology","score_opus":0.022390800252165704,"score_gpt":0.22973945873083615,"score_spread":0.20734865847867046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387834938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723065,0.00028842603,0.0000039489973,0.0017447345,0.000067976165,0.00020942991,0.00032643497,0.00008307379,0.0000453234],"genre_scores_gemma":[0.9985646,0.00072449574,0.00013585412,0.000109995206,0.00007504798,0.000008098257,0.0003186229,0.0000043121636,0.000058989328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848783,0.00025805563,0.00019559017,0.0004353175,0.00009335979,0.00052982953],"domain_scores_gemma":[0.9990784,0.00060866005,0.000046290574,0.000081035316,0.000021066342,0.0001645421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027389778,0.00023031687,0.00036031345,0.00015538179,0.00021684091,0.00006395727,0.000115778224,0.00017833571,0.000008242461],"category_scores_gemma":[0.00011018804,0.00011688019,0.00003456015,0.00031580986,0.00014774204,0.00014553506,0.00011257,0.00019718148,0.000012925026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039046947,0.0000057612137,0.98955524,0.000023090839,0.0000152080365,0.00005780657,0.0009975249,0.000007951259,0.005508874,0.00035862575,0.00007948479,0.0029999365],"study_design_scores_gemma":[0.00029768248,0.0005031622,0.9953368,0.00002321125,0.000014545004,0.00020402866,0.00067124935,0.00014086212,0.0001378399,0.0024396097,0.00004352966,0.00018753426],"about_ca_topic_score_codex":0.0007570241,"about_ca_topic_score_gemma":0.0061173216,"teacher_disagreement_score":0.005781479,"about_ca_system_score_codex":0.000003651534,"about_ca_system_score_gemma":0.0000050226527,"threshold_uncertainty_score":0.4766236},"labels":[],"label_agreement":null},{"id":"W4387998229","doi":"10.1016/j.agrformet.2023.109788","title":"The legacy effects of grazing and precipitation variability on grassland productivity in a temperate steppe","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Grazing; Forb; Grassland; Productivity; Plant community; Grazing pressure; Environmental science; Primary production; Conservation grazing; Ecosystem; Agronomy; Herbivore; Ecology; Biology; Species richness","score_opus":0.0047052596075500865,"score_gpt":0.20619442818457548,"score_spread":0.2014891685770254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387998229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982809,0.000042248197,0.000003270101,0.0010377493,0.00009703898,0.00024704856,7.238119e-7,0.0000115232115,0.00027953408],"genre_scores_gemma":[0.9996847,0.00012213034,0.00002160759,0.000014090547,0.0000090489,0.00004851435,0.0000036159486,0.0000014112451,0.000094905256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993506,0.00017664616,0.00010886847,0.00018166083,0.000047839716,0.00013440287],"domain_scores_gemma":[0.9991242,0.00075068086,0.00004810464,0.00005215765,0.000007690341,0.000017147699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043312061,0.00006807211,0.00010968586,0.000016049,0.00018174347,0.000008890943,0.000038679642,0.000044257325,0.0000010633046],"category_scores_gemma":[0.0002980929,0.000033880442,0.000011999068,0.00017299404,0.0002519265,0.00011076438,0.00007631633,0.00007802315,0.0000056350173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033797853,0.000025076319,0.98934025,0.000019652583,0.00001317674,9.200324e-7,0.00051546143,0.0005609167,0.0045518484,0.002608771,0.00004347648,0.002286682],"study_design_scores_gemma":[0.00020624248,0.00019536966,0.99042064,0.0000038232197,0.000008162839,0.0000027970204,0.00007080894,0.000281644,0.0001755808,0.008571425,0.000019075042,0.00004440596],"about_ca_topic_score_codex":0.00007839805,"about_ca_topic_score_gemma":0.0056130453,"teacher_disagreement_score":0.005962655,"about_ca_system_score_codex":0.000013006666,"about_ca_system_score_gemma":0.0000014152635,"threshold_uncertainty_score":0.3132211},"labels":[],"label_agreement":null},{"id":"W4388580735","doi":"10.1016/j.agrformet.2023.109795","title":"Mapping planted forest age using LandTrendr algorithm and Landsat 5–8 on the Loess Plateau, China","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Key Research and Development Program of China; Natural Science Foundation of Shandong Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Afforestation; Carbon sequestration; Loess plateau; Environmental science; Algorithm; Scale (ratio); China; Loess; Mean squared error; Forestry; Physical geography; Remote sensing; Soil science; Mathematics; Agroforestry; Statistics; Geography; Geology; Ecology; Cartography","score_opus":0.01575587122800301,"score_gpt":0.21403625981846278,"score_spread":0.19828038859045977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388580735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959719,0.000024022895,0.00012443517,0.0015891525,0.000069054164,0.00014769327,0.000012625885,0.000063266125,0.0019978494],"genre_scores_gemma":[0.9986373,0.000067561945,0.00039902166,0.00014827665,0.000071541814,0.0000041582643,0.00007225748,0.0000061953215,0.0005936526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992239,0.000051926418,0.00011716173,0.0002526464,0.00009708568,0.00025726823],"domain_scores_gemma":[0.999651,0.0001222697,0.00004806133,0.00010903083,0.0000033770248,0.00006622453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013563549,0.00013369546,0.00013873732,0.000029956775,0.00035360764,0.000039922284,0.00009165822,0.000078756,0.000022855802],"category_scores_gemma":[0.000013931069,0.00006419977,0.000028879356,0.00026038615,0.00017796538,0.00005255721,0.000119759155,0.00014028653,0.00007207928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023487007,0.00032534596,0.44593993,0.00009426384,0.0006008841,0.000630704,0.020413669,0.026461428,0.10583058,0.013347298,0.053855605,0.33226544],"study_design_scores_gemma":[0.0001995311,0.000055352586,0.9780214,0.0000094767975,0.000013872474,0.0001709809,0.0002524552,0.01566638,0.00006822797,0.0010971032,0.0043190443,0.00012617544],"about_ca_topic_score_codex":0.00086175534,"about_ca_topic_score_gemma":0.000629073,"teacher_disagreement_score":0.5320815,"about_ca_system_score_codex":0.000014846105,"about_ca_system_score_gemma":0.0000013477076,"threshold_uncertainty_score":0.27197},"labels":[],"label_agreement":null},{"id":"W4388581127","doi":"10.1016/j.agrformet.2023.109791","title":"Impacts of heat and drought on the dynamics of water fluxes in a temperate deciduous forest from 2012 to 2020","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Eddy covariance; Evapotranspiration; Temperate deciduous forest; Environmental science; Vapour Pressure Deficit; Water-use efficiency; Deciduous; Photosynthetically active radiation; Temperate climate; Temperate forest; Atmospheric sciences; Growing season; Precipitation; Temperate rainforest; Climatology; Transpiration; Agronomy; Ecology; Ecosystem; Botany; Geography; Biology; Photosynthesis; Irrigation; Meteorology","score_opus":0.005202939099487235,"score_gpt":0.1849948849054831,"score_spread":0.17979194580599586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388581127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772555,0.000028297347,0.0000036896163,0.0018357792,0.000038818416,0.00015598327,0.00006458579,0.000007765564,0.00013955976],"genre_scores_gemma":[0.9994615,0.000097662494,0.000037412326,0.0000876961,0.000010050676,0.0000117281725,0.00013743246,0.0000035017185,0.00015302755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933875,0.000043680004,0.00017276562,0.00016263203,0.00008487524,0.00019729555],"domain_scores_gemma":[0.999733,0.0000987979,0.000025137075,0.00008359578,0.000005429226,0.000054090215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011371171,0.00010126648,0.00016816196,0.000029485653,0.000043542026,0.000008975042,0.000091676244,0.00007128319,0.000033885794],"category_scores_gemma":[0.000012899693,0.000042867283,0.000024184752,0.0001792919,0.00010807815,0.00008018304,0.00014540493,0.00007528076,0.000032532393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007060185,0.00003163254,0.9386605,0.0000056237964,0.00002442432,0.000008260737,0.000980443,0.017174123,0.041378938,0.0009849475,0.00034690573,0.00033357405],"study_design_scores_gemma":[0.00017814127,0.00017821726,0.9867328,0.000009278675,0.0000121831235,0.000012928093,0.00008638288,0.010272174,0.0005825389,0.0018018495,0.000058218546,0.00007531498],"about_ca_topic_score_codex":0.002345232,"about_ca_topic_score_gemma":0.028978612,"teacher_disagreement_score":0.048072245,"about_ca_system_score_codex":0.00001834088,"about_ca_system_score_gemma":0.0000013108929,"threshold_uncertainty_score":0.98874},"labels":[],"label_agreement":null},{"id":"W4388750166","doi":"10.1016/j.agrformet.2023.109815","title":"Stronger control of surface conductance by soil water content than vapor pressure deficit regulates evapotranspiration in an urban forest in Beijing, 2012–2022","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Beijing Municipal Commission of Education; National Natural Science Foundation of China","keywords":"Evapotranspiration; Vapour Pressure Deficit; Eddy covariance; Environmental science; Canopy conductance; Water content; Soil water; Relative humidity; Hydrology (agriculture); Stomatal conductance; Atmospheric sciences; Precipitation; Growing season; Beijing; Leaf area index; Transpiration; Geography; Ecosystem; Ecology; Meteorology; Photosynthesis; Soil science; Chemistry","score_opus":0.009922534617049322,"score_gpt":0.18708522271075587,"score_spread":0.17716268809370656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388750166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99881375,0.0002995395,0.000015421967,0.00030234674,0.000065195614,0.00031278675,0.00009280764,0.000023145938,0.00007503173],"genre_scores_gemma":[0.99870276,0.000050813316,0.000018827015,0.000023174707,0.000009839475,0.000028346101,0.00043676983,0.0000068529594,0.00072259014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879014,0.00010504326,0.00031227732,0.000303812,0.0001382281,0.00035046836],"domain_scores_gemma":[0.9997002,0.000042330605,0.000075868935,0.00010798352,0.000013307822,0.00006029763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022683617,0.0001594581,0.00025920747,0.00003849221,0.000051746363,0.00001536786,0.00012883247,0.00014695355,0.000058611866],"category_scores_gemma":[0.0000058276178,0.00009327882,0.00003636378,0.00016583034,0.00013513168,0.0003703945,0.000042782365,0.00014030689,0.000012226551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046386278,0.00003817959,0.7407375,0.0000069887997,0.000012539942,0.000004022156,0.0002645526,0.09470078,0.16388407,0.00019626299,0.00006174171,0.00004698793],"study_design_scores_gemma":[0.00092434674,0.0002210426,0.96575725,0.000008624787,0.000031636537,0.000009213915,0.00007108281,0.031248758,0.001126452,0.00026196075,0.00017374559,0.0001658591],"about_ca_topic_score_codex":0.0007570022,"about_ca_topic_score_gemma":0.018179612,"teacher_disagreement_score":0.2250198,"about_ca_system_score_codex":0.000025039264,"about_ca_system_score_gemma":0.000002545809,"threshold_uncertainty_score":0.9997361},"labels":[],"label_agreement":null},{"id":"W4389262599","doi":"10.1016/j.agrformet.2023.109818","title":"Multi-scale temporal variation in CH4 and CO2 exchange and associated biophysical controls from two wetlands in Northeast China","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Growing season; Eddy covariance; Environmental science; Wetland; Atmospheric sciences; Peat; Marsh; Permafrost; Ecosystem; Hydrology (agriculture); Climatology; Ecology; Geology; Biology","score_opus":0.007893149396031881,"score_gpt":0.21033403398229833,"score_spread":0.20244088458626644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389262599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998525,0.00004733141,0.000004282231,0.0009869182,0.00006001328,0.00020238673,0.00004369193,0.000027404752,0.00010291898],"genre_scores_gemma":[0.99913967,0.0001323284,0.00006814716,0.00006568573,0.000051416806,0.00003563675,0.000391593,0.000004851276,0.000110701316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989564,0.00010306625,0.00019765635,0.00035238772,0.00007360479,0.00031689875],"domain_scores_gemma":[0.99967223,0.00011228409,0.00006781744,0.00005641104,0.0000041740395,0.00008710481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019438639,0.00015142972,0.000311564,0.000050635106,0.00007772687,0.000020900434,0.00006237636,0.00014218413,0.00003758648],"category_scores_gemma":[0.000029005743,0.000096426935,0.000021801969,0.00024320927,0.00014015177,0.0001335295,0.00015083695,0.00014471826,0.000010569945],"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":[0.00004629648,0.000049323557,0.98512095,0.0000022284123,0.000010252674,0.000016071703,0.0006705122,0.000038552327,0.013308924,0.00001439581,0.000060417762,0.00066206604],"study_design_scores_gemma":[0.0029510078,0.0001811406,0.98942554,0.0000052942264,0.00001410313,0.000010309247,0.000051190862,0.006631697,0.000007707546,0.0004852502,0.00009636519,0.00014040318],"about_ca_topic_score_codex":0.007180232,"about_ca_topic_score_gemma":0.14625593,"teacher_disagreement_score":0.13907568,"about_ca_system_score_codex":0.000029952545,"about_ca_system_score_gemma":0.0000021945946,"threshold_uncertainty_score":0.999431},"labels":[],"label_agreement":null},{"id":"W4389728190","doi":"10.1016/j.agrformet.2023.109848","title":"Large variation in the radial patterns of sap flow among urban trees","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transpiration; Vapour Pressure Deficit; Environmental science; Hydrology (agriculture); Tree (set theory); Growing season; Flow (mathematics); Atmospheric sciences; Ecology; Mathematics; Geology; Biology; Botany; Geometry","score_opus":0.004885881071456048,"score_gpt":0.17577122841369328,"score_spread":0.17088534734223723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389728190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99903727,0.0000082167635,0.00004960794,0.00022970555,0.00004939945,0.000094734074,0.000026920603,0.000011212525,0.0004929322],"genre_scores_gemma":[0.9995846,0.000028178923,0.000019605312,0.00003671742,0.000023336861,0.000012862221,0.000096097625,0.0000015792449,0.00019701241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949354,0.0000615115,0.00011248736,0.000108145476,0.000078815916,0.00014551872],"domain_scores_gemma":[0.99983466,0.000052304993,0.000037454472,0.000055324002,0.0000021394135,0.000018123512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016455378,0.0000591844,0.00008181186,0.000021961758,0.000046468773,0.000008033969,0.000089536254,0.000057255962,0.000039120438],"category_scores_gemma":[0.000008090222,0.00002892125,0.000024327712,0.00017258414,0.000038236583,0.00008463607,0.000049414204,0.00006460215,0.000017545508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051161433,0.000017151358,0.99132985,0.0000015955458,0.0000054081243,0.000004095702,0.0019218961,0.0042935144,0.0009831649,0.0010100098,0.00022205658,0.00020611534],"study_design_scores_gemma":[0.00017897584,0.000044179193,0.9835667,0.0000016838479,0.000009420701,0.00000826559,0.00008520931,0.01521471,0.000006065753,0.0006018201,0.00023704309,0.00004592644],"about_ca_topic_score_codex":0.0005415428,"about_ca_topic_score_gemma":0.009030297,"teacher_disagreement_score":0.010921195,"about_ca_system_score_codex":0.000010083109,"about_ca_system_score_gemma":7.440272e-7,"threshold_uncertainty_score":0.5039118},"labels":[],"label_agreement":null},{"id":"W4390439555","doi":"10.1016/j.agrformet.2023.109875","title":"Changes in evapotranspiration, transpiration and evaporation across natural and managed landscapes in the Amazon, Cerrado and Pantanal biomes","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biome; Eddy covariance; Evapotranspiration; Environmental science; Amazon rainforest; Ecosystem; Transpiration; Wetland; Land cover; Agroforestry; Dry season; Land use; Vegetation (pathology); Geography; Hydrology (agriculture); Ecology; Biology","score_opus":0.008080500233996368,"score_gpt":0.20853877032504223,"score_spread":0.20045827009104586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390439555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99675566,0.00024956523,0.0000048138145,0.002693914,0.000027571941,0.00019357153,0.000013344978,0.000013971431,0.00004759479],"genre_scores_gemma":[0.99899477,0.00067282404,0.00001948982,0.000110748515,0.000014128592,0.000024531126,0.00012333416,0.000002336549,0.000037855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993533,0.0000723879,0.00012471041,0.00020282854,0.0000796825,0.00016708081],"domain_scores_gemma":[0.9998509,0.00005170077,0.0000313413,0.000037648493,0.0000036636413,0.00002470859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002521518,0.00009891951,0.000107406995,0.000044036326,0.00012511319,0.000050538372,0.00004289126,0.000073951895,0.0000037612508],"category_scores_gemma":[0.000005716726,0.00005378348,0.000009906357,0.00026399014,0.00011022715,0.00020837694,0.000026936728,0.00009664153,0.000001524244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036829562,0.000015513218,0.9708212,0.00002176657,0.000011562544,0.000015289557,0.0067201634,0.0010598067,0.0107452385,0.0007518116,0.000022768983,0.009778068],"study_design_scores_gemma":[0.00038016585,0.000080363214,0.9857762,0.0000047840495,0.000012825552,0.00005232363,0.0003778131,0.012218918,0.000021172611,0.000845592,0.0001421247,0.00008776069],"about_ca_topic_score_codex":0.00032639466,"about_ca_topic_score_gemma":0.081396654,"teacher_disagreement_score":0.08107026,"about_ca_system_score_codex":0.000008190381,"about_ca_system_score_gemma":8.251157e-7,"threshold_uncertainty_score":0.93536544},"labels":[],"label_agreement":null},{"id":"W4390645414","doi":"10.1016/j.agrformet.2023.109883","title":"Joint improvement on absorbed photosynthetically active radiation and intrinsic quantum yield efficiency algorithms in the P model betters the estimate of terrestrial gross primary productivity","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Nanjing University; National Natural Science Foundation of China","keywords":"Photosynthetically active radiation; Irradiance; Primary production; Benchmark (surveying); Environmental science; Mean squared error; Flux (metallurgy); Productivity; Atmospheric sciences; Mathematics; Meteorology; Statistics; Algorithm; Physics; Ecosystem; Ecology; Photosynthesis; Chemistry; Biology","score_opus":0.009183348773820037,"score_gpt":0.2030959356078173,"score_spread":0.19391258683399726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390645414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966854,0.000042087104,0.00020381951,0.0023454153,0.000101515056,0.00039846456,0.000019910216,0.000010793015,0.00019259212],"genre_scores_gemma":[0.99970883,0.000045624485,0.000056680023,0.000091318754,0.000025662011,0.000038435275,0.000017385599,0.0000028570025,0.000013188194],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992335,0.00005745355,0.00016775019,0.00024205116,0.0001389463,0.00016031691],"domain_scores_gemma":[0.9996899,0.00014638175,0.000048418908,0.00008992166,0.0000028627144,0.000022544391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002924292,0.00010989258,0.00012521469,0.000024394301,0.00008073246,0.000031280622,0.00009420118,0.000055806227,0.0000035770013],"category_scores_gemma":[0.000025490901,0.000045817764,0.000031320247,0.00012222321,0.00022492431,0.00010550097,0.00007539307,0.00017759824,0.000002094087],"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":[0.00081447815,0.0008172266,0.01395619,0.00011773403,0.000194168,0.00004971236,0.014181646,0.19225372,0.42866674,0.0147797465,0.00041242407,0.3337562],"study_design_scores_gemma":[0.00032595647,0.00055592303,0.5283605,0.000021343805,0.000057923404,0.000059601447,0.000082570405,0.4642369,0.0018427185,0.004252061,0.0000470671,0.00015746919],"about_ca_topic_score_codex":0.00026683672,"about_ca_topic_score_gemma":0.00015952213,"teacher_disagreement_score":0.5144043,"about_ca_system_score_codex":0.00003767901,"about_ca_system_score_gemma":0.000005385866,"threshold_uncertainty_score":0.18683943},"labels":[],"label_agreement":null},{"id":"W4390881205","doi":"10.1016/j.agrformet.2023.109872","title":"AFM Special Issue Summary - Integrating Surface Flux with Boundary Layer Measurements","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Atmosphere (unit); Planetary boundary layer; Environmental science; Flux (metallurgy); Boundary layer; Atmospheric sciences; Meteorology; Geography; Geology; Materials science; Aerospace engineering; Engineering","score_opus":0.009612602676044583,"score_gpt":0.19995149961948083,"score_spread":0.19033889694343625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390881205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9598911,0.00024233806,0.000045676214,0.0005318098,0.00029635735,0.00012307397,0.000014129639,0.000052272666,0.038803253],"genre_scores_gemma":[0.9909251,0.000031538904,0.0007646863,0.00010027386,0.0003329161,0.000007258671,0.00010281775,0.000007748285,0.0077276696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914324,0.00004310713,0.0001365543,0.00028093503,0.00015771815,0.00023845663],"domain_scores_gemma":[0.9997925,0.000032913176,0.000026465366,0.00006916437,0.00000767233,0.000071267714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012629907,0.0001531972,0.00013620607,0.000016027965,0.00014355688,0.00009072466,0.00009425865,0.000084229396,0.00061655417],"category_scores_gemma":[0.0000051094394,0.00007812376,0.000033270764,0.00016297237,0.00014667507,0.00024940594,0.00008884046,0.00016397543,0.0002274332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022531807,0.00015869558,0.7455499,0.00008460008,0.0004493194,0.00029693972,0.0034414732,0.016273532,0.09823489,0.004047779,0.093313254,0.037924256],"study_design_scores_gemma":[0.0006977589,0.0007489685,0.6504232,0.0001039984,0.00022435648,0.00092384417,0.00031423545,0.007919778,0.00091588474,0.00240773,0.33445078,0.000869421],"about_ca_topic_score_codex":0.00025960983,"about_ca_topic_score_gemma":0.0025563287,"teacher_disagreement_score":0.24113753,"about_ca_system_score_codex":0.000052525957,"about_ca_system_score_gemma":0.000006337801,"threshold_uncertainty_score":0.6750836},"labels":[],"label_agreement":null},{"id":"W4391942137","doi":"10.1016/j.agrformet.2024.109932","title":"Direct characterization of deep soil water depletion reveals hydraulic adjustment of apple trees to edaphic changes","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Key Research and Development Program of China; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Edaphic; Environmental science; Hydraulic conductivity; Soil water; Hydrology (agriculture); Soil science; Geology; Geotechnical engineering","score_opus":0.005048730163858126,"score_gpt":0.1794501208230316,"score_spread":0.17440139065917348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391942137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984355,0.00009674851,0.00015230081,0.0006126359,0.0001040241,0.00016904333,0.000032690816,0.000019601861,0.00037745992],"genre_scores_gemma":[0.9990657,0.00014082868,0.000059840404,0.000058505906,0.00003299216,0.00003331129,0.00029032936,0.000003992495,0.00031452853],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99940336,0.000035636247,0.00015386596,0.00017533971,0.00008999725,0.0001417779],"domain_scores_gemma":[0.9998375,0.000018393992,0.00003465577,0.000060496128,0.000007186797,0.00004177861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009199046,0.0000914435,0.00015431385,0.00004164498,0.000028631086,0.00000763558,0.00005893111,0.00006527824,0.000074301046],"category_scores_gemma":[0.0000032055866,0.000047165944,0.00003172808,0.0001252218,0.000050812738,0.00008004691,0.00007122575,0.000037164205,0.000022810736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015804115,0.000023137602,0.012438432,0.000026986734,0.000025414396,0.0000014117277,0.0006714665,0.0017526324,0.97876674,0.0003032127,0.000039146853,0.0059355907],"study_design_scores_gemma":[0.00010365623,0.00029490882,0.9669061,0.00002013338,0.00006409884,0.000030571355,0.000024399938,0.0038307183,0.02630073,0.00028033386,0.0020139373,0.00013044244],"about_ca_topic_score_codex":0.00015620275,"about_ca_topic_score_gemma":0.001664211,"teacher_disagreement_score":0.95446765,"about_ca_system_score_codex":0.000017336244,"about_ca_system_score_gemma":7.5488373e-7,"threshold_uncertainty_score":0.19233714},"labels":[],"label_agreement":null},{"id":"W4392213968","doi":"10.1016/j.agrformet.2024.109940","title":"Nitrogen deposition-induced stimulation of soil heterotrophic respiration is counteracted by biochar in a subtropical forest","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Biochar; Soil carbon; Deposition (geology); Soil respiration; Agronomy; Chemistry; Soil water; Environmental chemistry; Environmental science; Biology; Soil science","score_opus":0.012216760830230947,"score_gpt":0.22100628287491922,"score_spread":0.20878952204468826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392213968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974984,0.0009515347,0.000005196503,0.0010558906,0.0001188013,0.00023143757,0.00005590261,0.000053437103,0.000029379917],"genre_scores_gemma":[0.99918216,0.000070750924,0.000018293935,0.0002018196,0.00011794614,0.00003310566,0.00035654072,0.0000017356905,0.000017656088],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99881774,0.00009794905,0.00034217574,0.0003346337,0.00015741005,0.0002501184],"domain_scores_gemma":[0.99961895,0.00011383852,0.00007499979,0.000041853295,0.000075537835,0.00007479365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092983246,0.0001780839,0.00024136396,0.000036571593,0.00007072572,0.00005572213,0.0001000407,0.0002167525,0.00003775983],"category_scores_gemma":[0.00002241799,0.00006895225,0.00009580475,0.00037763637,0.00006136735,0.0001854316,0.00004091039,0.0001626223,0.000011176423],"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":[0.00012751673,0.00006979211,0.16457196,0.00002498397,0.00003740169,0.000009516708,0.000116894356,0.000075910015,0.83023876,0.0006998803,0.00013938906,0.0038879989],"study_design_scores_gemma":[0.000326487,0.0008172089,0.96893245,0.000044112094,0.000044711593,0.000061621475,0.000047252903,0.015277902,0.012330956,0.0017811463,0.00010626036,0.00022986667],"about_ca_topic_score_codex":0.0018319327,"about_ca_topic_score_gemma":0.009417434,"teacher_disagreement_score":0.8179078,"about_ca_system_score_codex":0.00003242312,"about_ca_system_score_gemma":0.000006345162,"threshold_uncertainty_score":0.52551496},"labels":[],"label_agreement":null},{"id":"W4392436015","doi":"10.1016/j.agrformet.2024.109950","title":"Differential advances in budburst timing among black spruce, white spruce and balsam fir across Canada","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Environment; Government of New Brunswick; Memorial University of Newfoundland; Canadian Forest Service; Université du Québec à Chicoutimi; Ministry of Natural Resources and Wildlife; Natural Resources Canada","funders":"","keywords":"Balsam; Black spruce; Differential (mechanical device); Abies balsamea; Forestry; Environmental science; Geography; Botany; Taiga; Biology; Physics","score_opus":0.0041460606405105075,"score_gpt":0.20196425298844456,"score_spread":0.19781819234793405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392436015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960419,0.00066452293,0.000032483444,0.0008137315,0.0003597931,0.00020003837,0.000010779305,0.000028371436,0.0018483764],"genre_scores_gemma":[0.9979648,0.00038835485,0.00004709248,0.00015375705,0.000054972534,0.000026941441,0.00002004962,0.0000060360076,0.0013379715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880344,0.000042196076,0.00019342468,0.00041945573,0.000107504355,0.0004340071],"domain_scores_gemma":[0.9997076,0.00007307872,0.000038545335,0.00007878967,0.0000039133824,0.000098084376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091762406,0.0001851836,0.00020668545,0.000016323249,0.00014310925,0.00004564871,0.00012286584,0.00010352489,0.00033154082],"category_scores_gemma":[0.00001481506,0.00011695448,0.000026962816,0.00016101458,0.00043462482,0.0003477267,0.0003081356,0.0001825098,0.00002483789],"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":[0.000036728263,0.000029131497,0.9821181,0.00007120332,0.000038178398,0.00014841727,0.00046202348,0.0018680227,0.00050574064,0.0030528833,0.00441566,0.007253906],"study_design_scores_gemma":[0.0002122266,0.00008328845,0.9882688,0.00001547743,0.000021282742,0.00002684382,0.00028811936,0.0010783845,0.000022936527,0.0010193483,0.008787391,0.00017588401],"about_ca_topic_score_codex":0.053027038,"about_ca_topic_score_gemma":0.9174915,"teacher_disagreement_score":0.86446446,"about_ca_system_score_codex":0.0000744938,"about_ca_system_score_gemma":0.000005211849,"threshold_uncertainty_score":0.95327896},"labels":[],"label_agreement":null},{"id":"W4392935823","doi":"10.1016/j.agrformet.2024.109971","title":"Methane emissions from animal agriculture: Micrometeorological solutions for challenging measurement situations","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"HORIZON EUROPE Framework Programme; Ministry of Business, Innovation and Employment","keywords":"Environmental science; Greenhouse gas; Eddy covariance; Methane emissions; Methane; Agriculture; Atmospheric sciences; Ecosystem; Ecology","score_opus":0.021874514834745958,"score_gpt":0.21343498318634876,"score_spread":0.19156046835160281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392935823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96568114,0.0028235628,0.025284762,0.004613396,0.00026588695,0.0004616886,0.000040859843,0.00015618627,0.00067254016],"genre_scores_gemma":[0.98861057,0.00033978297,0.010042297,0.00016811654,0.00014526962,0.00015147786,0.00009439264,0.000012258814,0.00043582372],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984069,0.000059156107,0.0002491888,0.00054457714,0.00022055,0.0005196509],"domain_scores_gemma":[0.9994946,0.00015061002,0.00004642071,0.00011234829,0.000011130499,0.0001848874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025207087,0.0002509621,0.00023742576,0.000010616542,0.0003897012,0.000043491626,0.0001578503,0.00020055645,0.0003645893],"category_scores_gemma":[0.000048601403,0.00014521257,0.000143039,0.00019262452,0.00023326905,0.0001939609,0.00024900457,0.00019684117,0.00008339331],"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":[0.0001370451,0.0003932345,0.008182212,0.00004228782,0.0005318429,0.000031502546,0.0014372177,0.028544014,0.9047287,0.01501912,0.01141766,0.029535161],"study_design_scores_gemma":[0.00077664026,0.00088617246,0.91976565,0.00003726239,0.0005342527,0.00016715532,0.000993237,0.017730394,0.00064006523,0.014077653,0.043559074,0.0008324499],"about_ca_topic_score_codex":0.00028504778,"about_ca_topic_score_gemma":0.00034462154,"teacher_disagreement_score":0.9115834,"about_ca_system_score_codex":0.00016551258,"about_ca_system_score_gemma":0.0000056405183,"threshold_uncertainty_score":0.5921597},"labels":[],"label_agreement":null},{"id":"W4393125853","doi":"10.1016/j.agrformet.2024.109965","title":"Development of a probabilistic agricultural drought forecasting (PADF) framework under climate change","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biometeorology; Climate change; Environmental science; Agriculture; Probabilistic logic; Climatology; Agricultural development; Meteorology; Geography; Statistics; Mathematics; Ecology; Geology","score_opus":0.025315496341845458,"score_gpt":0.2320101468854538,"score_spread":0.20669465054360833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393125853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957467,0.00058693066,0.00023828067,0.0010046574,0.0001834704,0.00022884633,0.000006331305,0.00007126276,0.0019335649],"genre_scores_gemma":[0.99344766,0.0000552897,0.005896926,0.00014989162,0.0001262308,0.00009010951,0.00004253897,0.00000784811,0.00018347953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846846,0.00006687595,0.00037737575,0.00045351492,0.0001662073,0.00046756907],"domain_scores_gemma":[0.999506,0.00017591535,0.00009151946,0.00010677788,0.000014397447,0.0001054171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024802625,0.00023607259,0.0003222003,0.000041050942,0.00022745642,0.000030216095,0.00015916735,0.0002311314,0.0003509589],"category_scores_gemma":[0.000040021652,0.00012609857,0.00010520916,0.0004723259,0.00023220139,0.00026962778,0.00026114716,0.00023553713,0.00015359613],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005273675,0.0011496722,0.37785578,0.0017293935,0.0026256954,0.00035626814,0.06583041,0.010938871,0.054513685,0.27879038,0.0042630583,0.20141941],"study_design_scores_gemma":[0.00024237444,0.00023252865,0.9759168,0.00011350884,0.0003071031,0.0003062052,0.0006020238,0.003073787,0.00040760663,0.0149034755,0.0033614805,0.000533079],"about_ca_topic_score_codex":0.00007779805,"about_ca_topic_score_gemma":0.00138004,"teacher_disagreement_score":0.598061,"about_ca_system_score_codex":0.00006997943,"about_ca_system_score_gemma":0.0000057376446,"threshold_uncertainty_score":0.51421505},"labels":[],"label_agreement":null},{"id":"W4393333749","doi":"10.1016/j.agrformet.2024.109990","title":"Atmospheric dryness removes barriers to the development of large forest fires","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Dryness; Environmental science; Atmospheric sciences; Meteorology; Climatology; Geography; Geology; Biology","score_opus":0.0039592879726911695,"score_gpt":0.19804571392277118,"score_spread":0.19408642595008002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393333749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965052,0.0004454703,0.00012445114,0.0010937775,0.000403613,0.0003306739,0.0000069402877,0.00004657498,0.0010432826],"genre_scores_gemma":[0.9981327,0.000008486784,0.0009121629,0.00017737842,0.000056607918,0.0000679037,0.000008694818,0.000008322936,0.0006277185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988906,0.00007463316,0.00024307585,0.00030178844,0.00016589792,0.00032401524],"domain_scores_gemma":[0.99950576,0.000153623,0.000043404747,0.00013224676,0.000008065297,0.0001568988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033324552,0.0001594004,0.00019126601,0.0000071342606,0.00019621986,0.000031850126,0.00022998572,0.0000772354,0.00024297264],"category_scores_gemma":[0.00008401483,0.00007355391,0.000049423717,0.00031204594,0.0000992831,0.000120392215,0.00024217524,0.000096426076,0.00021640831],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015640202,0.00011990694,0.791948,0.00041252284,0.00042475626,0.000059872036,0.027652413,0.0034024303,0.039436422,0.008231475,0.036271024,0.09188474],"study_design_scores_gemma":[0.00010904413,0.00012920752,0.93693525,0.000025511008,0.000021085265,0.0000367444,0.00038163294,0.0018955148,0.00049869705,0.00020111153,0.059608642,0.00015759375],"about_ca_topic_score_codex":0.00029469284,"about_ca_topic_score_gemma":0.011245231,"teacher_disagreement_score":0.14498718,"about_ca_system_score_codex":0.000049381968,"about_ca_system_score_gemma":0.000012726547,"threshold_uncertainty_score":0.6275103},"labels":[],"label_agreement":null},{"id":"W4394006677","doi":"10.1016/j.agrformet.2024.109999","title":"Optimizing seasonally variable photosynthetic parameters based on joint carbon and water flux constraints","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; UK Research and Innovation","keywords":"Flux (metallurgy); Carbon flux; Environmental science; Photosynthesis; Variable (mathematics); Joint (building); Atmospheric sciences; Biometeorology; Climatology; Meteorology; Mathematics; Ecology; Physics; Biology; Geology; Ecosystem; Botany; Chemistry; Engineering","score_opus":0.006385563104921786,"score_gpt":0.17149407898192756,"score_spread":0.16510851587700578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394006677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924199,0.000054463926,0.00013782579,0.0006479927,0.00011629858,0.00013550835,0.000014756577,0.00004506774,0.0064281705],"genre_scores_gemma":[0.99783695,0.000014826299,0.0014757002,0.00023730125,0.000011838085,0.000018347544,0.000053520962,0.0000061597652,0.0003453827],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915737,0.000046061963,0.0001268094,0.00030725708,0.000100958656,0.00026155132],"domain_scores_gemma":[0.9997548,0.00006647163,0.000015927368,0.000068978916,0.0000037186744,0.000090090856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119374665,0.00014795357,0.00014411264,0.000028811342,0.000077847675,0.00006129213,0.00005176889,0.00009439795,0.00019066241],"category_scores_gemma":[0.0000068093723,0.00007524398,0.000033046803,0.00006811083,0.00022730979,0.00007096006,0.00006515042,0.00013955061,0.00003114303],"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":[0.00019873821,0.00021130475,0.05272151,0.0001710262,0.00030997096,0.0003626663,0.0019270784,0.40348873,0.5150955,0.009578783,0.0005236061,0.015411128],"study_design_scores_gemma":[0.00060589216,0.0005442509,0.06746817,0.00009003455,0.0001791385,0.0005873202,0.00008651226,0.9193921,0.005260261,0.0035889237,0.001612462,0.00058493693],"about_ca_topic_score_codex":0.00011955227,"about_ca_topic_score_gemma":0.00007612562,"teacher_disagreement_score":0.5159034,"about_ca_system_score_codex":0.000031749663,"about_ca_system_score_gemma":0.0000035177834,"threshold_uncertainty_score":0.30683604},"labels":[],"label_agreement":null},{"id":"W4394019008","doi":"10.1016/j.agrformet.2024.109996","title":"Surface-atmosphere energy exchanges and their effects on surface climate and atmospheric boundary layer characteristics in the forest-tundra ecotone in northwestern Canada","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University; Université de Montréal; Center for Northern Studies; Dalhousie University","funders":"","keywords":"Tundra; Ecotone; Atmosphere (unit); Environmental science; Planetary boundary layer; Atmospheric sciences; Surface layer; Climatology; Boundary layer; Biometeorology; Meteorology; Layer (electronics); Geography; Geology; Ecology; Arctic; Physics; Shrub; Oceanography; Materials science","score_opus":0.010297167662525452,"score_gpt":0.19246190535604307,"score_spread":0.18216473769351763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394019008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857383,0.011709485,3.4795465e-7,0.0013606404,0.00033482004,0.00019852302,0.00046390775,0.00001628599,0.00017771953],"genre_scores_gemma":[0.992114,0.006279958,0.000011135974,0.00077232986,0.0001092193,0.000005414267,0.00064088596,0.0000057607144,0.0000612691],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987153,0.0001505648,0.00020990641,0.00036261,0.000105821004,0.00045578953],"domain_scores_gemma":[0.9989932,0.00075402984,0.000046363635,0.00009838749,0.000013900534,0.0000941116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019212085,0.00026951282,0.0003309214,0.000006821655,0.00015020427,0.00015665134,0.00011112319,0.00012156381,0.000068755515],"category_scores_gemma":[0.000007907529,0.00013241227,0.00002494625,0.0002044764,0.00011309145,0.00015974553,0.000038369806,0.00021106402,0.000004281541],"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":[0.00005994272,0.000009064077,0.98898077,0.00013761735,0.00001756082,0.00017701712,0.0013750648,0.00017361474,0.00008860286,0.00007090667,0.00020319787,0.0087066395],"study_design_scores_gemma":[0.00024374222,0.00031340186,0.9893332,0.000061878105,0.000015797925,0.00017173079,0.000772111,0.003305412,0.0000118837615,0.00016140366,0.0054038013,0.00020562712],"about_ca_topic_score_codex":0.40049413,"about_ca_topic_score_gemma":0.99204844,"teacher_disagreement_score":0.59155434,"about_ca_system_score_codex":0.000011019789,"about_ca_system_score_gemma":0.000028298326,"threshold_uncertainty_score":0.60349804},"labels":[],"label_agreement":null},{"id":"W4394981622","doi":"10.1016/j.agrformet.2024.110017","title":"Connectivity of evapotranspiration processes in a Brazilian dryland reservoir using remote sensing","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Transpiration; Evapotranspiration; Riparian zone; Environmental science; Hydrology (agriculture); Vegetation (pathology); Evaporation; Enhanced vegetation index; Atmospheric sciences; Leaf area index; Geology; Ecology; Normalized Difference Vegetation Index; Geography; Photosynthesis","score_opus":0.011326782310512023,"score_gpt":0.22151484374270072,"score_spread":0.2101880614321887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394981622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984105,0.0001739213,0.0005493633,0.00017888081,0.000045697114,0.000098486664,0.0000070734727,0.000016030292,0.00052002404],"genre_scores_gemma":[0.9991449,0.0000385911,0.0007262647,0.000013429533,0.000012967086,3.5770339e-7,0.000015246431,0.0000027797505,0.00004545924],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994639,0.00003934483,0.00013426777,0.00017292313,0.00006690259,0.0001226318],"domain_scores_gemma":[0.9998384,0.0000607877,0.000026419208,0.000041756077,0.0000074732247,0.000025130095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011685587,0.00007442456,0.00011037821,0.00003228057,0.000039491188,0.000016646643,0.000035635454,0.0000698927,0.000011665761],"category_scores_gemma":[0.000019376079,0.00004604544,0.000018171822,0.0002682326,0.000081358005,0.00018022694,0.000030136454,0.00008244559,0.0000029311514],"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":[0.00015233376,0.00006689999,0.3477317,0.00049728714,0.000078256635,0.0001228142,0.0048982413,0.21431153,0.39218968,0.0010578762,0.000037521182,0.038855862],"study_design_scores_gemma":[0.00028713382,0.00015217719,0.48791507,0.000100080724,0.000047324127,0.0002762891,0.00004257716,0.5022935,0.0015640671,0.006742144,0.00036951355,0.00021007651],"about_ca_topic_score_codex":0.0015528722,"about_ca_topic_score_gemma":0.014375298,"teacher_disagreement_score":0.39062563,"about_ca_system_score_codex":0.00002775415,"about_ca_system_score_gemma":0.000006223851,"threshold_uncertainty_score":0.8021754},"labels":[],"label_agreement":null},{"id":"W4395663768","doi":"10.1016/j.agrformet.2024.110026","title":"A universal canopy gap fraction model for forests with various tree distributions based on Nilson's models considering directional overlaps among crowns","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Anhui Province; China Scholarship Council; Eesti Teadusagentuur; National Natural Science Foundation of China","keywords":"Canopy; Terrain; Nadir; Tree (set theory); Leaf area index; Mathematics; Environmental science; Tree canopy; Remote sensing; Geography; Satellite; Ecology; Physics; Cartography","score_opus":0.011940808075016148,"score_gpt":0.20941949580604952,"score_spread":0.19747868773103336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395663768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7694399,0.000017804265,0.22568475,0.0012373587,0.00006880882,0.00031096878,0.00007316772,0.00011127001,0.003055986],"genre_scores_gemma":[0.9952007,0.000005760988,0.0037606433,0.000063942876,0.000045202574,0.00003595311,0.00015091871,0.000009985911,0.0007269243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991175,0.000023662791,0.00011497991,0.00037223025,0.00012420522,0.00024745293],"domain_scores_gemma":[0.9995714,0.00016584183,0.00004077135,0.00010313626,0.00001899142,0.0000998499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006682815,0.00015931642,0.00013827547,0.000036293528,0.0003303883,0.0000566144,0.00005622314,0.00010166893,0.000017900844],"category_scores_gemma":[0.000011745102,0.00010015997,0.000062974985,0.00017124412,0.00021588232,0.00022619488,0.000026129992,0.00014518236,0.000008290216],"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":[0.00014964474,0.00008256562,0.009668343,0.000015718595,0.00006351169,0.0000098066785,0.00020537013,0.9644252,0.00268551,0.013873209,0.004673322,0.004147763],"study_design_scores_gemma":[0.00027782968,0.00016629226,0.12448991,0.000013914132,0.00006808995,0.00004503954,0.000030191262,0.8664408,0.00010566232,0.007008537,0.0011987677,0.00015498763],"about_ca_topic_score_codex":0.0008501129,"about_ca_topic_score_gemma":0.011141068,"teacher_disagreement_score":0.22576077,"about_ca_system_score_codex":0.0001506834,"about_ca_system_score_gemma":0.000022307553,"threshold_uncertainty_score":0.6216977},"labels":[],"label_agreement":null},{"id":"W4398190546","doi":"10.1016/j.agrformet.2024.110037","title":"Contrasting carbon cycle responses to dry (2015 El Niño) and wet (2008 La Niña) extreme events at an Amazon tropical forest","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Physics, Harvard University; Fundação de Amparo à Pesquisa do Estado do Amazonas; University of Toronto; University of Technology Sydney; National Sleep Foundation; National Aeronautics and Space Administration; Fundação de Amparo à Pesquisa do Estado de São Paulo; U.S. Department of Energy; National Science Foundation","keywords":"Amazon rainforest; Environmental science; Carbon cycle; Amazon basin; Tropical forest; Carbon fibers; Dry season; Tropical and subtropical dry broadleaf forests; La Niña; Tropical cyclone; Forestry; Climatology; Atmospheric sciences; Geography; El Niño Southern Oscillation; Ecosystem; Ecology; Agroforestry; Geology; Biology; Materials science; Cartography","score_opus":0.008765911479689222,"score_gpt":0.21595861995823148,"score_spread":0.20719270847854226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398190546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976984,0.00028583745,0.00005162109,0.00072989933,0.00013783062,0.00017979769,0.00002967283,0.000063156214,0.00082376244],"genre_scores_gemma":[0.99839324,0.000074001,0.00027893268,0.0000910634,0.00006495212,0.000024275589,0.00004784884,0.000009476486,0.0010162409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879545,0.00012768447,0.00018984075,0.00040856894,0.00014510313,0.0003333654],"domain_scores_gemma":[0.99949104,0.00015855808,0.00003170359,0.00010121469,0.0000071362565,0.00021035089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014583132,0.0001804011,0.0001889895,0.000041622145,0.00013873019,0.00004717216,0.000100007026,0.00014510225,0.000034641864],"category_scores_gemma":[0.000036537196,0.00011162278,0.000034328652,0.00013236207,0.00016182906,0.00016953358,0.00020211666,0.0001492507,0.000028366274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012717536,0.00003140479,0.98323345,0.000009348086,0.000026910922,0.00006505473,0.0003596375,0.00096125493,0.011247981,0.001187018,0.00015867516,0.0025921054],"study_design_scores_gemma":[0.00023545555,0.00026896433,0.97578925,0.000013930196,0.000040439514,0.0003044439,0.00003056238,0.019367198,0.000028770812,0.0012772668,0.0024579389,0.00018579149],"about_ca_topic_score_codex":0.00044611888,"about_ca_topic_score_gemma":0.0042271735,"teacher_disagreement_score":0.018405942,"about_ca_system_score_codex":0.00006220942,"about_ca_system_score_gemma":0.000004754217,"threshold_uncertainty_score":0.4551845},"labels":[],"label_agreement":null},{"id":"W4399036940","doi":"10.1016/j.agrformet.2024.110078","title":"Unraveling the effects of plant and soil properties on tree water absorption in pure and mixed forests across subtropical China","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subtropics; Tropical and subtropical moist broadleaf forests; China; Environmental science; Tree (set theory); Absorption of water; Agroforestry; Ecology; Geography; Botany; Biology; Mathematics","score_opus":0.004751182746891353,"score_gpt":0.17750860770859883,"score_spread":0.17275742496170748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399036940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99887085,0.0003387894,0.0000048003712,0.00049888034,0.00007545008,0.00014799679,0.00000773405,0.000009754104,0.000045774905],"genre_scores_gemma":[0.9996436,0.00017940892,0.0000069856724,0.000019158784,0.000015826978,0.000015791118,0.000020828367,0.000002761962,0.000095590716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994612,0.000040129384,0.00010672573,0.00016649852,0.000063667896,0.0001617973],"domain_scores_gemma":[0.99986565,0.0000507044,0.000014038415,0.000040474722,0.0000017144442,0.000027437542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008324887,0.000092250964,0.00010888962,0.000014011512,0.00006718268,0.000029454033,0.000041792675,0.000074458614,0.0000022511133],"category_scores_gemma":[0.000007990615,0.00003408998,0.000016595064,0.000042816504,0.00016901738,0.00007662162,0.00008566057,0.000114453906,0.0000028774725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027440468,0.00008678591,0.66330016,0.0003334247,0.00008175616,0.00008144316,0.010594477,0.0039489125,0.294578,0.0046016765,0.00010587809,0.022013078],"study_design_scores_gemma":[0.00019316732,0.00020194445,0.98930216,0.0000362317,0.000015020841,0.000105148036,0.000039314687,0.006882316,0.002075878,0.0010014214,0.00007729165,0.0000701033],"about_ca_topic_score_codex":0.00026275378,"about_ca_topic_score_gemma":0.0064301165,"teacher_disagreement_score":0.326002,"about_ca_system_score_codex":0.000011029098,"about_ca_system_score_gemma":7.829015e-7,"threshold_uncertainty_score":0.35881558},"labels":[],"label_agreement":null},{"id":"W4399258067","doi":"10.1016/j.agrformet.2024.110076","title":"The impact of spongy moth (Lymantria dispar dispar) defoliation on carbon balance of a temperate deciduous forest in North America","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Global Water Futures; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Lymantria dispar; Deciduous; Temperate climate; Dispar; Temperate deciduous forest; Gypsy moth; Temperate forest; Ecology; Temperate rainforest; Environmental science; Geography; Biology; Lepidoptera genitalia","score_opus":0.003742925579382936,"score_gpt":0.19856424243178003,"score_spread":0.1948213168523971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399258067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989085,0.00022233465,0.000014296472,0.00011149735,0.00006604174,0.00016813944,0.000041930543,0.000010918954,0.0004563266],"genre_scores_gemma":[0.99942464,0.00038941644,0.000021910239,0.000008231614,0.000015720632,0.00001636032,0.000055811324,0.000004610242,0.000063295614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917716,0.000060590497,0.00024393138,0.00019470086,0.0001086017,0.00021502876],"domain_scores_gemma":[0.99961966,0.00014033912,0.000086954155,0.00010249855,0.0000074585582,0.000043077154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009478425,0.00013016489,0.00019499117,0.00003463365,0.00004847781,0.000016913737,0.00011621131,0.000060300288,0.000007740212],"category_scores_gemma":[0.000021947359,0.000058596273,0.00006766931,0.00032725054,0.00016743406,0.000077110984,0.00005489349,0.000108586806,0.000005777263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008885012,0.000032795204,0.9217527,0.0000064690785,0.00003157703,0.000006315986,0.00022023029,0.07352473,0.0021902479,0.0004996073,0.00002647165,0.0016200003],"study_design_scores_gemma":[0.00016107927,0.00031445085,0.93403363,0.00001180359,0.000017515464,0.000019601077,0.000015525837,0.06479632,0.000041817973,0.00046871934,0.000041050287,0.00007848811],"about_ca_topic_score_codex":0.0028622746,"about_ca_topic_score_gemma":0.01121029,"teacher_disagreement_score":0.012280916,"about_ca_system_score_codex":0.000057970905,"about_ca_system_score_gemma":0.0000068674244,"threshold_uncertainty_score":0.62556046},"labels":[],"label_agreement":null},{"id":"W4399457774","doi":"10.1016/j.agrformet.2024.110079","title":"Assessing the hydroclimatic sensitivity of tree species in Northeastern America through spatiotemporal modelling of annual tree growth","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre de Géomatique du Québec; Université Laval; Ministère des Ressources naturelles et des Forêts; Ministry of Natural Resources and Wildlife","funders":"","keywords":"Tree (set theory); Sensitivity (control systems); Environmental science; Climatology; Geology; Mathematics; Engineering","score_opus":0.015167210258919058,"score_gpt":0.21294486510195232,"score_spread":0.19777765484303325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399457774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99422365,0.00009252663,0.0031583745,0.00038673723,0.000042284275,0.00008719855,0.000020671265,0.000009775575,0.0019787787],"genre_scores_gemma":[0.99916196,0.00006097925,0.00064670126,0.000016061234,0.000014513478,0.0000031523662,0.000023897404,0.0000032378787,0.00006951523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992667,0.00010106973,0.0002255292,0.00015480164,0.00011236133,0.00013956698],"domain_scores_gemma":[0.99967587,0.00016100568,0.000075281794,0.00006250566,0.00000772345,0.000017615355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001589611,0.000097328215,0.00018435973,0.000022041348,0.000039502876,0.000017880191,0.00006224423,0.000050188137,0.000008656727],"category_scores_gemma":[0.000007871915,0.000048704052,0.000046716952,0.0002066934,0.00024380207,0.00032901697,0.00007457582,0.00010729498,0.0000034220814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003078691,0.00011694926,0.6825373,0.0001077514,0.00007677038,0.000044343666,0.008327788,0.27917987,0.015864328,0.0037429985,0.000037883558,0.0099332435],"study_design_scores_gemma":[0.00008148655,0.000063237836,0.5822701,0.00002425119,0.000029783694,0.00005032858,0.00042298398,0.41463545,0.00015420499,0.0021472403,0.00003963144,0.000081343824],"about_ca_topic_score_codex":0.0019603097,"about_ca_topic_score_gemma":0.003970971,"teacher_disagreement_score":0.13545558,"about_ca_system_score_codex":0.000016935268,"about_ca_system_score_gemma":0.0000034414297,"threshold_uncertainty_score":0.2963415},"labels":[],"label_agreement":null},{"id":"W4399765353","doi":"10.1016/j.agrformet.2024.110125","title":"Different climate conditions drive variations in gross primary productivity and woody biomass accumulation in a temperate and a boreal conifer forest in Canada","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; McMaster University; University of Waterloo","funders":"","keywords":"Primary production; Temperate climate; Biomass (ecology); Taiga; Environmental science; Boreal; Productivity; Woody plant; Boreal ecosystem; Temperate rainforest; Ecology; Agroforestry; Forestry; Atmospheric sciences; Ecosystem; Biology; Geography","score_opus":0.0068978777620707045,"score_gpt":0.20962433861100724,"score_spread":0.20272646084893653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399765353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99750257,0.00010805346,0.0000081769895,0.0015201742,0.000102886996,0.0004597768,0.000030460656,0.000012146975,0.00025577948],"genre_scores_gemma":[0.99948937,0.00009123244,0.000026146772,0.000080711645,0.000013352876,0.00013725003,0.00012264437,0.000003848797,0.00003543698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897784,0.000089320485,0.00020937611,0.00037063673,0.000066586144,0.00028622162],"domain_scores_gemma":[0.99974376,0.000104245424,0.000033739605,0.00006000896,0.0000042223633,0.000054047614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015154078,0.00013936525,0.00019208786,0.00007259258,0.00008569817,0.00002981625,0.000045675508,0.00007431717,0.000021426742],"category_scores_gemma":[0.000017678729,0.00009307224,0.000011058281,0.00022251705,0.00016588178,0.00027490887,0.00016875914,0.0001440545,0.0000024049734],"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":[0.000021900236,0.000043617438,0.9880815,0.000033945755,0.00001139559,0.000034930286,0.00028471687,0.0003777401,0.0006598348,0.010126206,0.00008061026,0.00024356112],"study_design_scores_gemma":[0.00045352647,0.00007539917,0.99117124,0.000013076404,0.000014074393,0.000030258649,0.00008742583,0.0019362197,0.000011169269,0.0060290634,0.000055360826,0.00012316948],"about_ca_topic_score_codex":0.26923245,"about_ca_topic_score_gemma":0.98771274,"teacher_disagreement_score":0.7184803,"about_ca_system_score_codex":0.0002380071,"about_ca_system_score_gemma":0.000021113105,"threshold_uncertainty_score":0.7356338},"labels":[],"label_agreement":null},{"id":"W4399993201","doi":"10.1016/j.agrformet.2024.110126","title":"Five decades of ecological and meteorological data enhance the mechanistic understanding of global change impacts on the treeline ecotone in the European Alps","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Staatssekretariat für Bildung, Forschung und Innovation; Board of the Swiss Federal Institutes of Technology; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Ecotone; Environmental science; Ecology; Shrub; Climate change; Ecosystem; Global warming; Vegetation (pathology); Afforestation; Physical geography; Biology; Geography","score_opus":0.07496474798483943,"score_gpt":0.27960796305228114,"score_spread":0.2046432150674417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399993201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99002296,0.0027945652,0.000014430959,0.005863165,0.0000866321,0.00027397217,0.00026949085,0.000014775638,0.0006600082],"genre_scores_gemma":[0.9988074,0.00075150374,0.000045355486,0.00025615413,0.00007393759,0.0000029949085,0.000054748314,0.0000015316897,0.0000063917078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982699,0.00082131,0.00023194609,0.0002816525,0.00014365063,0.00025149548],"domain_scores_gemma":[0.997023,0.0026530884,0.000079534766,0.00019138728,0.000012272541,0.00004071172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013640546,0.00014607546,0.0002170393,0.000024247527,0.00012637756,0.000046034584,0.0004684869,0.000069962676,0.00005050108],"category_scores_gemma":[0.00032755843,0.000045005454,0.00003481865,0.00026679647,0.00041767498,0.00010245579,0.00010780499,0.00019120272,0.0000071482195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020831153,0.0003455624,0.6339084,0.00038439187,0.00064893486,0.00063859974,0.006273357,0.000510076,0.0026173973,0.2897596,0.0025173258,0.06031323],"study_design_scores_gemma":[0.000102802784,0.0007515378,0.9914884,0.000026218182,0.000053786545,0.0001404801,0.0010086243,0.0011301078,0.000022851713,0.0050778445,0.00012793056,0.00006941557],"about_ca_topic_score_codex":0.00062679243,"about_ca_topic_score_gemma":0.017637938,"teacher_disagreement_score":0.35758,"about_ca_system_score_codex":0.000006351071,"about_ca_system_score_gemma":0.000008333647,"threshold_uncertainty_score":0.9842383},"labels":[],"label_agreement":null},{"id":"W4400013888","doi":"10.1016/j.agrformet.2024.110133","title":"Ecosystem-scale carbon dynamics in desert Shrublands: Unraveling the complex interplay among leaf functional and physiological traits and environment","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Hainan University; National Natural Science Foundation of China","keywords":"Shrubland; Ecosystem; Environmental science; Ecology; Scale (ratio); Desert (philosophy); Carbon cycle; Atmospheric sciences; Biology; Geography; Geology","score_opus":0.009700862345723746,"score_gpt":0.18692472695888507,"score_spread":0.1772238646131613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400013888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984963,0.00020782184,0.00006322733,0.00050194084,0.00004913652,0.00014750089,0.000020223664,0.000017379818,0.0004964691],"genre_scores_gemma":[0.99947727,0.00018776959,0.00005660142,0.00004230942,0.000026569218,0.000021854703,0.000059442915,0.000003924704,0.00012424665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922395,0.000061920815,0.00015902246,0.0002912889,0.00007964468,0.00018420102],"domain_scores_gemma":[0.9998029,0.00007692734,0.000025173746,0.00003919183,0.0000016959685,0.00005410357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013194788,0.00013303135,0.0001458679,0.000021665552,0.000090052716,0.00004204629,0.000059639166,0.00009785041,0.000034661858],"category_scores_gemma":[0.0000034551,0.000064239735,0.000023812752,0.0000677126,0.00020955349,0.00008744605,0.00014848536,0.00017337884,0.000004829601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007294042,0.00006954222,0.9473413,0.00005054922,0.00008758447,0.000039397015,0.0016282444,0.020044038,0.019791448,0.004128652,0.00014191755,0.0066043446],"study_design_scores_gemma":[0.000110155175,0.00006623808,0.75115395,0.000009080343,0.00001627722,0.00013012228,0.00019373246,0.2474437,0.000003369794,0.00066832016,0.00012015977,0.000084904954],"about_ca_topic_score_codex":0.00029332758,"about_ca_topic_score_gemma":0.0065383967,"teacher_disagreement_score":0.22739966,"about_ca_system_score_codex":0.00006521216,"about_ca_system_score_gemma":0.0000013531751,"threshold_uncertainty_score":0.36485788},"labels":[],"label_agreement":null},{"id":"W4400936990","doi":"10.1016/j.agrformet.2024.110172","title":"Satellite-based monitoring of China's above-ground biomass carbon sink from 2015 to 2021","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Environmental science; Sink (geography); Satellite; Carbon sink; China; Biomass (ecology); Remote sensing; Meteorology; Atmospheric sciences; Geography; Ecosystem; Ecology; Oceanography; Geology; Biology; Engineering; Cartography","score_opus":0.0051873019913867184,"score_gpt":0.20056859299768784,"score_spread":0.1953812910063011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400936990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968016,0.0011990427,0.00020335116,0.0006253301,0.0003575821,0.00013662457,0.000009015064,0.000027907408,0.0006395042],"genre_scores_gemma":[0.994964,0.00012882457,0.004305741,0.000036741694,0.00011363196,0.000013954999,0.000021290214,0.0000106102025,0.00040517465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896127,0.00003585248,0.00019963295,0.00037460876,0.00016353805,0.00026507681],"domain_scores_gemma":[0.9996351,0.000058840513,0.00004048662,0.00012821071,0.0000028216562,0.00013454391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007191172,0.00018836066,0.00020952073,0.000008976208,0.000051393916,0.000025824133,0.00013595718,0.00011913711,0.0001696479],"category_scores_gemma":[0.0000067711326,0.00011950926,0.000060465532,0.00021911746,0.00018124827,0.00010021453,0.00014773116,0.000107611835,0.000058895654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006809199,0.00007458099,0.8172976,0.000023484858,0.00007616925,0.00003769809,0.0008563916,0.012083561,0.14211684,0.00012436297,0.0001046341,0.027136607],"study_design_scores_gemma":[0.00013751097,0.00020323272,0.99405074,0.000016041868,0.000044626544,0.0000076816095,0.0001257518,0.0015383646,0.0014710396,0.00051441224,0.0017139432,0.00017662918],"about_ca_topic_score_codex":0.004506536,"about_ca_topic_score_gemma":0.00027157212,"teacher_disagreement_score":0.1767532,"about_ca_system_score_codex":0.00009777979,"about_ca_system_score_gemma":0.0000034562647,"threshold_uncertainty_score":0.6812564},"labels":[],"label_agreement":null},{"id":"W4401216857","doi":"10.1016/j.agrformet.2024.110176","title":"Grassland biomass allocation across continents and grazing practices and its response to climate and altitude","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Guelph","funders":"Natural Science Foundation of Gansu Province; National Natural Science Foundation of China; Northwest Normal University","keywords":"Grassland; Grazing; Altitude (triangle); Environmental science; Biomass (ecology); Agroforestry; Ecology; Biology","score_opus":0.01088440445980398,"score_gpt":0.2629298417490701,"score_spread":0.2520454372892661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401216857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929802,0.0012896674,0.000009728566,0.005089806,0.0001154403,0.00028380565,0.000007783228,0.000033455115,0.00019010967],"genre_scores_gemma":[0.99855053,0.0007560338,0.000117655945,0.00010973769,0.000031860724,0.000035094377,0.000010546991,0.0000047121225,0.00038384506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908876,0.00008871387,0.00012706216,0.0003637497,0.000063215724,0.00026851808],"domain_scores_gemma":[0.99959284,0.00018426623,0.00006141035,0.000045864646,0.00000631283,0.00010929579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039409948,0.00012923201,0.0001431435,0.000031577685,0.00020678616,0.00011309885,0.0000513159,0.00007606954,0.000013319931],"category_scores_gemma":[0.0000770718,0.000078895726,0.000011770381,0.000105257386,0.00011018427,0.00034651803,0.00029724452,0.000068689325,0.000023737566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005044987,0.000031531,0.88101447,0.00011046531,0.00009032603,0.00004392073,0.0015238677,0.000009228624,0.10713059,0.0014648263,0.0013763973,0.006699901],"study_design_scores_gemma":[0.0003155275,0.00032113146,0.9856303,0.000009696467,0.000044573473,0.00010601784,0.00019165273,0.00020619617,0.0000916714,0.00019038162,0.012768928,0.00012394323],"about_ca_topic_score_codex":0.00017839047,"about_ca_topic_score_gemma":0.0036139172,"teacher_disagreement_score":0.107038915,"about_ca_system_score_codex":0.000010463352,"about_ca_system_score_gemma":0.0000012036389,"threshold_uncertainty_score":0.32172745},"labels":[],"label_agreement":null},{"id":"W4401634833","doi":"10.1016/j.agrformet.2024.110178","title":"The carbon balance and water use efficiency of an intensively managed forage crop in the Lower Fraser Valley in British Columbia, Canada","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Forage; Water balance; Environmental science; Agronomy; Agroforestry; Hydrology (agriculture); Balance (ability); Crop; Carbon sequestration; Biometeorology; Forestry; Geography; Canopy; Ecology; Biology; Geology; Carbon dioxide; Archaeology","score_opus":0.0032563304543581366,"score_gpt":0.15815434988421773,"score_spread":0.1548980194298596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401634833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99902666,0.00014769765,0.0000011024115,0.0003725538,0.00008711155,0.00015246499,0.000012495042,0.000004533929,0.00019538519],"genre_scores_gemma":[0.9993926,0.00008817843,0.000012175156,0.00012575246,0.000006514244,0.000012397757,0.000015928359,0.0000026342798,0.0003438049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993048,0.00007743178,0.00014348647,0.00018024936,0.000093704635,0.0002003757],"domain_scores_gemma":[0.9997886,0.00009068697,0.000016898133,0.00007140367,0.0000060679254,0.00002636192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017714749,0.00006284192,0.00009879459,0.000008484345,0.00007543972,0.000112371505,0.00011776525,0.000048006248,0.0000070483006],"category_scores_gemma":[0.000012823218,0.00003423505,0.000013405887,0.000112180816,0.0001550756,0.000110426176,0.00007608274,0.00013894915,4.970547e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024385237,0.00006478277,0.98947996,0.000018065162,0.000020461606,0.0005198085,0.0010257564,0.0030128397,0.0018527582,0.0001807202,0.00041791686,0.0033825547],"study_design_scores_gemma":[0.00012990169,0.00007748468,0.98783296,0.000010383867,0.000008433796,0.00009765489,0.00019376437,0.010379279,0.00000817387,0.00042044822,0.0007674681,0.00007404976],"about_ca_topic_score_codex":0.779991,"about_ca_topic_score_gemma":0.99403435,"teacher_disagreement_score":0.21404336,"about_ca_system_score_codex":0.000028848352,"about_ca_system_score_gemma":0.000004783038,"threshold_uncertainty_score":0.22147408},"labels":[],"label_agreement":null},{"id":"W4402217348","doi":"10.1016/j.agrformet.2024.110210","title":"Modeling weather-driven long-distance dispersal of spruce budworm moths (Choristoneura fumiferana). Part 2: Flight model calibration using radar data","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Northern Research Station; U.S. Forest Service; U.S. Endowment for Forestry and Communities; McGill University; Wisconsin Alumni Research Foundation; U.S. Department of Agriculture; National Science Foundation","keywords":"Spruce budworm; Choristoneura fumiferana; Biological dispersal; Environmental science; Calibration; Radar; Biometeorology; Lepidoptera genitalia; Tortricidae; Meteorology; Ecology; Atmospheric sciences; Forestry; Remote sensing; Biology; Geography; Geology; Canopy; Engineering; Mathematics","score_opus":0.019618794736438135,"score_gpt":0.234263137279155,"score_spread":0.21464434254271686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402217348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97112185,0.00080829643,0.026770676,0.00029507617,0.00035187125,0.00029472212,0.000115417766,0.000068198475,0.00017387664],"genre_scores_gemma":[0.9977833,0.000087639266,0.00165378,0.000035252484,0.00013747039,0.000010277802,0.00011778511,0.000018089084,0.00015640135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838173,0.00009017875,0.00035554852,0.00061570085,0.00023390859,0.00032290677],"domain_scores_gemma":[0.999383,0.00008111782,0.000073896226,0.00034752183,0.000011534193,0.00010294305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021690161,0.00023276126,0.00031093063,0.000032045464,0.00012842572,0.000054277443,0.00034727962,0.00013900675,0.000057594345],"category_scores_gemma":[0.000028206385,0.00014815712,0.00006021523,0.00022173514,0.0001489547,0.00080236053,0.000293132,0.00017399929,0.000018900599],"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":[0.00014851225,0.00013170301,0.02732561,0.0003141756,0.00020738514,0.00007025042,0.0014546999,0.83881193,0.12195638,0.0035181697,0.0019452693,0.004115923],"study_design_scores_gemma":[0.00014958816,0.00007360164,0.003581603,0.00004681499,0.00007885605,0.00007013225,0.000033906155,0.9951206,0.00027169773,0.00019715956,0.0001700289,0.00020603744],"about_ca_topic_score_codex":0.0020045433,"about_ca_topic_score_gemma":0.004738693,"teacher_disagreement_score":0.15630865,"about_ca_system_score_codex":0.00008649606,"about_ca_system_score_gemma":0.00001109846,"threshold_uncertainty_score":0.6041672},"labels":[],"label_agreement":null},{"id":"W4402430510","doi":"10.1016/j.agrformet.2024.110219","title":"Climatic controls of fire activity in the red pine forests of eastern North America","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Ministry of Natural Resources and Wildlife; Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation de l’Université du Québec en Abitibi-Témiscamingue","keywords":"Environmental science; Red pine; Forestry; Geography; Biometeorology; Physical geography; Pinus <genus>; Biology; Canopy; Archaeology; Botany","score_opus":0.00621436064997933,"score_gpt":0.20287442361543365,"score_spread":0.19666006296545432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402430510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981018,0.00021799658,0.000016874943,0.00073332735,0.00007998863,0.00035832287,0.00001202227,0.000011769905,0.00046792623],"genre_scores_gemma":[0.99978274,0.000024787958,0.00002924221,0.00003833829,0.000020927937,0.000038884977,0.000009382527,0.000003640607,0.000052066804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991008,0.0001691666,0.00021996962,0.00018606438,0.00013742597,0.00018656983],"domain_scores_gemma":[0.99941796,0.0003267673,0.00009829096,0.0001219359,0.0000055031473,0.000029521343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018427528,0.00011374264,0.00027770578,0.000019246749,0.000025159243,0.000009511678,0.00016393521,0.00005269841,0.000041731004],"category_scores_gemma":[0.000043467964,0.000052441297,0.00005795759,0.00027136705,0.00019096961,0.0001320548,0.000075413576,0.0001086322,0.000026428701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009267231,0.00012091009,0.94339323,0.00022444458,0.00005227465,0.000022450713,0.0013978898,0.00048309055,0.01727953,0.00010347493,0.0005849493,0.03624509],"study_design_scores_gemma":[0.00021786237,0.00043040738,0.98815,0.000025207633,0.000024712506,0.000027337546,0.000055032186,0.010446942,0.000083357976,0.00012203073,0.00034997522,0.00006713376],"about_ca_topic_score_codex":0.0015038785,"about_ca_topic_score_gemma":0.008750683,"teacher_disagreement_score":0.044756774,"about_ca_system_score_codex":0.00001817454,"about_ca_system_score_gemma":0.0000025940858,"threshold_uncertainty_score":0.48830864},"labels":[],"label_agreement":null},{"id":"W4402436300","doi":"10.1016/j.agrformet.2024.110216","title":"Fuel constraints, not fire weather conditions, limit fire behavior in reburned boreal forests","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","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":"ASTER","funders":"Office of Polar Programs; Joint Fire Science Program; National Science Foundation","keywords":"Environmental science; Taiga; Boreal; Biometeorology; Meteorology; Atmospheric sciences; Wildfire suppression; Climatology; Geography; Ecology; Forestry; Geology; Firefighting; Biology; Cartography","score_opus":0.007865441164982102,"score_gpt":0.21926804416725013,"score_spread":0.211402603002268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402436300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995029,0.00065401674,0.0000019248146,0.0015703933,0.00036602144,0.00052589295,0.0000719043,0.00010835558,0.001672542],"genre_scores_gemma":[0.9985653,0.00009138768,0.00006343433,0.00018471315,0.00008716114,0.00021933629,0.00012514276,0.000014745743,0.0006487528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849284,0.000114342234,0.00029728585,0.0004961804,0.00016791985,0.00043142],"domain_scores_gemma":[0.99945694,0.000199543,0.00005296033,0.00014916869,0.0000078934345,0.00013351809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002008619,0.0002442005,0.0002815208,0.00003582618,0.00009051561,0.00006104481,0.00016907837,0.00022341021,0.0007108305],"category_scores_gemma":[0.000037979375,0.0001538869,0.00008670611,0.00025073538,0.0004073784,0.00029517067,0.0001231053,0.00025743365,0.0004353724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008272302,0.00024175893,0.89553523,0.00015473619,0.000083744635,0.0008003051,0.0009742504,0.00006868073,0.008794463,0.0050005307,0.016137192,0.07212636],"study_design_scores_gemma":[0.0003438491,0.00029620717,0.99426633,0.00003751351,0.00004797357,0.0004623047,0.000068328794,0.0012621923,0.000090161884,0.0005113342,0.0023743305,0.0002394712],"about_ca_topic_score_codex":0.0018906328,"about_ca_topic_score_gemma":0.009706537,"teacher_disagreement_score":0.09873108,"about_ca_system_score_codex":0.00009958782,"about_ca_system_score_gemma":0.000008154593,"threshold_uncertainty_score":0.7783095},"labels":[],"label_agreement":null},{"id":"W4402744616","doi":"10.1016/j.agrformet.2024.110238","title":"Nocturnal peak methane flux diel patterns in rice paddy fields","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Université du Québec à Montréal","funders":"","keywords":"Diel vertical migration; Nocturnal; Paddy field; Environmental science; Flux (metallurgy); Methane; Biometeorology; Atmospheric sciences; Agronomy; Biology; Ecology; Geology; Chemistry; Canopy","score_opus":0.0054050359026428805,"score_gpt":0.19683349631232155,"score_spread":0.19142846040967867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402744616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99508655,0.0003660167,0.0008454645,0.000681812,0.00022132043,0.00010865025,0.0000033416434,0.000036113186,0.0026507115],"genre_scores_gemma":[0.9958862,0.00020797472,0.00080851855,0.0003476076,0.00006876357,0.000019443149,0.000018535164,0.000007756537,0.0026352063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898595,0.00004719583,0.0001850591,0.00033761346,0.00012378645,0.00032037575],"domain_scores_gemma":[0.99971646,0.00006969207,0.0000273663,0.00008748478,0.0000013542144,0.00009764691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010785355,0.00017361969,0.00017289403,0.000008686097,0.000050794333,0.00002551307,0.00013476032,0.0001408898,0.0007577793],"category_scores_gemma":[0.000008403063,0.00010295832,0.00005701873,0.00015227217,0.00013625137,0.00018927727,0.00020125024,0.00025617133,0.00013606674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007116022,0.00014855852,0.91984546,0.000070164046,0.000095100855,0.00033947203,0.0025470406,0.021383341,0.013821052,0.001283712,0.001931806,0.038463145],"study_design_scores_gemma":[0.00017271643,0.00014918056,0.9933291,0.00000865113,0.000024474171,0.00016091255,0.00022350885,0.00248801,0.00004779124,0.000723771,0.0024980013,0.0001738731],"about_ca_topic_score_codex":0.0010425457,"about_ca_topic_score_gemma":0.0014063176,"teacher_disagreement_score":0.07348366,"about_ca_system_score_codex":0.00006893943,"about_ca_system_score_gemma":0.000001982351,"threshold_uncertainty_score":0.8297152},"labels":[],"label_agreement":null},{"id":"W4403930411","doi":"10.1016/j.agrformet.2024.110288","title":"Analysis of scale-dependent spatial correlations of actual evapotranspiration measured by lysimeters","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Lysimeter; Evapotranspiration; Environmental science; Scale (ratio); Hydrology (agriculture); Atmospheric sciences; Soil science; Geography; Geology; Cartography; Soil water; Ecology","score_opus":0.005756601127606403,"score_gpt":0.1890484443365142,"score_spread":0.1832918432089078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403930411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959876,0.000120432356,0.0030353935,0.00010474278,0.00007321032,0.000085178646,0.00012975569,0.000015256569,0.00044843004],"genre_scores_gemma":[0.9993798,0.00003289801,0.00009048848,0.000010165511,0.000006927061,0.0000060700468,0.00029539497,0.0000025683028,0.00017567698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929374,0.00004451193,0.00022768362,0.00017559543,0.00015522247,0.000103266575],"domain_scores_gemma":[0.9997675,0.000057716028,0.000060360042,0.00006489866,0.000010967124,0.000038589355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010589819,0.000085977765,0.00018869621,0.00006950702,0.000037514194,0.000009836288,0.000064376014,0.0000848009,0.0001341022],"category_scores_gemma":[0.000006135187,0.00005334342,0.00009443112,0.00039047693,0.00012193458,0.00011930886,0.000025928613,0.00006705263,0.000007003511],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005784871,0.00010630847,0.5141587,0.00002268094,0.0012413437,0.0000028614138,0.0015675541,0.19297701,0.2769607,0.00068441505,0.0001892443,0.012031272],"study_design_scores_gemma":[0.00014896998,0.000155521,0.8623563,0.000005380648,0.0014431712,0.000009651652,0.000027804479,0.13411994,0.0012795451,0.00017732453,0.00015579545,0.000120607845],"about_ca_topic_score_codex":0.0008618309,"about_ca_topic_score_gemma":0.003415194,"teacher_disagreement_score":0.34819752,"about_ca_system_score_codex":0.00002085461,"about_ca_system_score_gemma":0.0000028046697,"threshold_uncertainty_score":0.21752815},"labels":[],"label_agreement":null},{"id":"W4403979366","doi":"10.1016/j.agrformet.2024.110292","title":"De-synchronization in tree growth is a strategy for maintaining forest resilience","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Resilience (materials science); Tree (set theory); Synchronization (alternating current); Environmental science; Forestry; Computer science; Geography; Mathematics; Telecommunications; Physics","score_opus":0.007104730929602297,"score_gpt":0.20707610772550927,"score_spread":0.19997137679590699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403979366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930275,0.00014946003,0.0038973293,0.0006130882,0.000051709445,0.00017693808,0.000013978605,0.000030459365,0.0020395142],"genre_scores_gemma":[0.9986565,0.000068981695,0.0005265679,0.00010431992,0.000028987737,0.000046647318,0.00005294771,0.0000050015133,0.00051001256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992662,0.000024488185,0.0001405024,0.00024862768,0.00006202558,0.00025815816],"domain_scores_gemma":[0.9998029,0.000073388466,0.000022433369,0.000046008445,0.0000057110506,0.000049555136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013814584,0.00010053867,0.00009903668,0.00003530403,0.00006774057,0.00005317469,0.00008311408,0.00009346784,0.000042667325],"category_scores_gemma":[0.000016236798,0.000064073116,0.000030807765,0.00020379687,0.0000823171,0.00019985388,0.000048442653,0.000089959845,0.000014880578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054533284,0.000042112788,0.79880345,0.000040915336,0.000029327592,0.00004302011,0.0014061383,0.10079468,0.0032245112,0.07029006,0.0011605872,0.024110641],"study_design_scores_gemma":[0.0001880559,0.00016372454,0.7038342,0.000014394989,0.000018493341,0.000104059225,0.00007584634,0.269686,0.000034606222,0.025177898,0.0005704997,0.0001322076],"about_ca_topic_score_codex":0.0003449257,"about_ca_topic_score_gemma":0.00400736,"teacher_disagreement_score":0.16889134,"about_ca_system_score_codex":0.00007518336,"about_ca_system_score_gemma":0.000007568139,"threshold_uncertainty_score":0.2612826},"labels":[],"label_agreement":null},{"id":"W4404066311","doi":"10.1016/j.agrformet.2024.110213","title":"Contrasting performance of panel and time-series data models for subnational crop forecasting in Sub-Saharan Africa","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Series (stratigraphy); Time series; Environmental science; Climatology; Meteorology; Geography; Statistics; Mathematics; Geology","score_opus":0.10229408893597575,"score_gpt":0.24167668955287955,"score_spread":0.1393826006169038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404066311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99278474,0.004526474,0.000004184289,0.0013640182,0.00007803619,0.00038187378,0.00060753245,0.000046510413,0.00020665702],"genre_scores_gemma":[0.99759203,0.00090337,0.00022053928,0.000030793963,0.00019035614,0.00003777702,0.000900636,0.0000017958741,0.00012272902],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99873775,0.000039179522,0.00031617002,0.0004225202,0.00011927374,0.0003650955],"domain_scores_gemma":[0.9990895,0.00059855747,0.0000891618,0.000048744903,0.0000927318,0.000081337595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033811133,0.00019850618,0.0003079737,0.000026628184,0.00013486431,0.00008011545,0.00020323716,0.00014582463,0.00002111097],"category_scores_gemma":[0.00011579322,0.00006733735,0.000040553685,0.0002844528,0.00012560487,0.00070265034,0.00017630428,0.0001292684,0.0000020273162],"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":[0.0005776672,0.00015591443,0.014934249,0.0006060308,0.00016050378,0.00002216531,0.0011007154,0.00043996723,0.8613624,0.0034334764,0.0065206923,0.110686235],"study_design_scores_gemma":[0.00072363956,0.0015719429,0.8643502,0.00033762472,0.00012532435,0.0005305237,0.00046998332,0.120743476,0.0019061532,0.0034866582,0.005083605,0.00067084574],"about_ca_topic_score_codex":0.00006006615,"about_ca_topic_score_gemma":0.0008138341,"teacher_disagreement_score":0.85945624,"about_ca_system_score_codex":0.000015612197,"about_ca_system_score_gemma":0.000006375018,"threshold_uncertainty_score":0.27459377},"labels":[],"label_agreement":null},{"id":"W4404165711","doi":"10.1016/j.agrformet.2024.110279","title":"Biometeorological feedbacks on peatlands: Raising the water table to reduce meteorologically-related stress on cattle","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; McGill University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Biological and Environmental Research; Sight Research UK; Office of Science; University of Waikato; Natural Environment Research Council; U.S. Department of Energy; National Science Foundation","keywords":"Peat; Environmental science; Raising (metalworking); Hydrology (agriculture); Water stress; Biometeorology; Meteorology; Geography; Ecology; Agronomy; Biology; Geology; Engineering; Geotechnical engineering","score_opus":0.012973637155962312,"score_gpt":0.22314723015197852,"score_spread":0.2101735929960162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404165711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747685,0.0004639945,0.0000015815605,0.021491027,0.0004975749,0.00077670044,0.000081715894,0.000207814,0.0017110877],"genre_scores_gemma":[0.9966934,0.000075388234,0.000031835458,0.0012373462,0.00035846507,0.00018607604,0.00031565325,0.0000044097087,0.0010974773],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972419,0.00033243306,0.00036216827,0.00092589064,0.0003148886,0.00082273193],"domain_scores_gemma":[0.99812883,0.0013768073,0.00005488459,0.0001387258,0.000028290226,0.00027245196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040836696,0.00045944695,0.00041765178,0.000043526183,0.0005300295,0.00026416793,0.0004964183,0.00035136018,0.00049314223],"category_scores_gemma":[0.0001146388,0.000097471806,0.00017138233,0.00046379125,0.0003177279,0.00014913228,0.00029465303,0.00052411424,0.00041681563],"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":[0.0008061112,0.0005279986,0.005823816,0.00003418755,0.00034328012,0.00012281719,0.000506839,0.002232982,0.8771867,0.009251368,0.006817366,0.09634649],"study_design_scores_gemma":[0.0004242328,0.009046842,0.9131541,0.0000978231,0.00012027078,0.00019265842,0.0002120227,0.000056188645,0.02462444,0.002698435,0.0486228,0.00075014145],"about_ca_topic_score_codex":0.00018759923,"about_ca_topic_score_gemma":0.00017503987,"teacher_disagreement_score":0.90733033,"about_ca_system_score_codex":0.000049892453,"about_ca_system_score_gemma":0.0000024515143,"threshold_uncertainty_score":0.53995615},"labels":[],"label_agreement":null},{"id":"W4404643354","doi":"10.1016/j.agrformet.2024.110318","title":"Spatiotemporal variation in carbon use efficiency derived from eddy-covariance measurement of global terrestrial biomes","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Eddy covariance; Biome; Variation (astronomy); Environmental science; Covariance; Atmospheric sciences; Carbon cycle; Climatology; Ecosystem; Ecology; Geology; Statistics; Mathematics; Biology; Physics","score_opus":0.011308246665996235,"score_gpt":0.1951274409274186,"score_spread":0.18381919426142238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404643354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983108,0.00021924352,0.0005771419,0.00023484419,0.0003119164,0.00015278367,0.00004130774,0.000021910651,0.00013004139],"genre_scores_gemma":[0.99915946,0.000030327123,0.0006961694,0.000011615765,0.000035169625,0.000009227275,0.0000441788,0.0000024862427,0.000011399652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990942,0.00006610194,0.00023178764,0.00025616723,0.00019339813,0.00015833002],"domain_scores_gemma":[0.9997901,0.000040247935,0.000054969878,0.00007066214,0.0000065411527,0.000037512487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001495726,0.000111993104,0.00014895645,0.000021659858,0.000023491659,0.00003380236,0.000086598455,0.00010267117,0.000017358354],"category_scores_gemma":[0.000026195008,0.000071102324,0.00004075552,0.000260682,0.000080722086,0.00016743361,0.000065767104,0.00007146106,0.0000056381705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001545328,0.00014311177,0.70193875,0.000015656347,0.000104560335,0.00003664085,0.00073418807,0.030327244,0.25974274,0.002109332,0.00004757103,0.0046456624],"study_design_scores_gemma":[0.00028784183,0.000079895195,0.96822864,0.000017105995,0.000033843247,0.000009822591,0.0000076355545,0.029572587,0.0002600597,0.0013150045,0.000084370935,0.000103171864],"about_ca_topic_score_codex":0.012009565,"about_ca_topic_score_gemma":0.00896008,"teacher_disagreement_score":0.26628992,"about_ca_system_score_codex":0.000120770696,"about_ca_system_score_gemma":0.000010342063,"threshold_uncertainty_score":0.99456954},"labels":[],"label_agreement":null},{"id":"W4404801349","doi":"10.1016/j.agrformet.2024.110315","title":"A comparative analysis of fire-weather indices for enhanced fire activity prediction with probabilistic approaches","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Meteorology; Biometeorology; Probabilistic logic; Climatology; Computer science; Geography; Artificial intelligence; Geology","score_opus":0.015831432366644943,"score_gpt":0.21725781516048215,"score_spread":0.2014263827938372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404801349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99804217,0.00014705372,0.00037354074,0.00007967791,0.00006742598,0.0006183251,0.000060188548,0.000040193743,0.00057142763],"genre_scores_gemma":[0.9993045,0.0000053013778,0.00019269438,0.00000541204,0.000031600193,0.0002533217,0.00005070386,0.000003790461,0.0001526933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916005,0.00007387973,0.00014074746,0.00034542198,0.00011030105,0.00016962473],"domain_scores_gemma":[0.9995134,0.00025918282,0.00008475463,0.00008470002,0.00001340059,0.000044602213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014530108,0.00014155362,0.00035478536,0.000032962023,0.00006821113,0.000022351138,0.000075454795,0.00008174895,0.000040767252],"category_scores_gemma":[0.000021548041,0.000071416245,0.000078596284,0.0005051038,0.00019576644,0.00021284822,0.000037084927,0.00007226836,0.0000057698035],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028516888,0.0016040242,0.5281961,0.0021396212,0.017252013,0.000015684298,0.046833053,0.114919774,0.18325084,0.0032901613,0.0026943325,0.0969527],"study_design_scores_gemma":[0.00020106387,0.000950804,0.8734466,0.00001925008,0.0009104416,0.0000060481925,0.00015031577,0.12211387,0.0017855944,0.000095308285,0.0001927013,0.00012800658],"about_ca_topic_score_codex":0.00042503624,"about_ca_topic_score_gemma":0.0030297088,"teacher_disagreement_score":0.3452505,"about_ca_system_score_codex":0.000042829226,"about_ca_system_score_gemma":0.0000040095215,"threshold_uncertainty_score":0.291227},"labels":[],"label_agreement":null},{"id":"W4405367059","doi":"10.1016/j.agrformet.2024.110363","title":"Effects of elevated ozone on evapotranspiration and energy allocation of rice ecosystem under fully open-air field conditions","year":2024,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Evapotranspiration; Environmental science; Atmospheric sciences; Ozone; Biometeorology; Ecosystem; Eddy covariance; Hydrology (agriculture); Meteorology; Canopy; Ecology; Geography; Physics; Engineering; Biology","score_opus":0.008830323836908183,"score_gpt":0.21226858927668563,"score_spread":0.20343826543977744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405367059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99687546,0.00065862964,0.000017167988,0.0017957287,0.0000925215,0.00019729766,0.00006968049,0.000035635432,0.0002578591],"genre_scores_gemma":[0.9990639,0.00021211532,0.000013225311,0.00020847905,0.00004620364,0.000039777384,0.00022091393,8.951664e-7,0.00019449],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990843,0.00015254467,0.00024565257,0.00026139358,0.00010020453,0.00015593717],"domain_scores_gemma":[0.998661,0.0010875469,0.00008904776,0.000034311404,0.0000719909,0.00005610677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011571061,0.0001380173,0.00023794599,0.00002866924,0.000083082436,0.000029256184,0.00013306025,0.00015830225,0.00002209461],"category_scores_gemma":[0.000039514878,0.000049582944,0.000042565265,0.00028748566,0.000049679853,0.00016101965,0.00004497618,0.00008439552,0.0000029719579],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014222634,0.00005197511,0.00014669095,0.00009016825,0.00006462984,0.0000048485367,0.000033945173,0.00004012406,0.97013295,0.025631461,0.00020573317,0.0034552447],"study_design_scores_gemma":[0.00050336093,0.0038445496,0.7543194,0.0002054545,0.00017364917,0.00013376951,0.00008760143,0.0004368784,0.23415384,0.0030908321,0.0027605763,0.00029005404],"about_ca_topic_score_codex":0.0005602444,"about_ca_topic_score_gemma":0.0019271686,"teacher_disagreement_score":0.75417274,"about_ca_system_score_codex":0.00001051771,"about_ca_system_score_gemma":0.000007360793,"threshold_uncertainty_score":0.20219338},"labels":[],"label_agreement":null},{"id":"W4406090586","doi":"10.1016/j.agrformet.2025.110383","title":"Delaying sowing time and increasing sowing rate with plastic mulching can enhance wheat yield and water use efficiency under future climate change","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Office of Science; National Natural Science Foundation of China; Higher Education Discipline Innovation Project; National Key Research and Development Program of China; China Scholarship Council; U.S. Department of Energy","keywords":"Sowing; Mulch; Yield (engineering); Environmental science; Climate change; Agronomy; Water-use efficiency; Agricultural engineering; Engineering; Biology; Ecology; Materials science; Irrigation","score_opus":0.01297443303581719,"score_gpt":0.20451099800796416,"score_spread":0.19153656497214697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406090586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933973,0.00030347466,0.000014511297,0.0057379566,0.00012469491,0.000251971,0.000007407922,0.000052713767,0.00010998665],"genre_scores_gemma":[0.9982772,0.00025944217,0.00009908497,0.0010148975,0.00015663754,0.00002149141,0.000044585697,0.000001515345,0.00012518751],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987623,0.000114318944,0.00019470886,0.00041350204,0.00008338607,0.00043176848],"domain_scores_gemma":[0.9993127,0.00045454514,0.000069654576,0.000038869166,0.000040952164,0.000083268176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031490411,0.0002197536,0.00023559594,0.000028327278,0.00068948895,0.00027635545,0.000078810815,0.00010399954,0.000015434594],"category_scores_gemma":[0.000028310731,0.0000675721,0.000027118602,0.0001457707,0.00008662981,0.00058794144,0.00021384205,0.00016325587,0.00000277724],"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":[0.0006458655,0.00009165538,0.10802241,0.00018945671,0.00026004712,0.000057196616,0.003206073,0.00037224742,0.8271018,0.004823602,0.00007305132,0.05515657],"study_design_scores_gemma":[0.00031550264,0.00035344932,0.9937522,0.00013830797,0.00015495784,0.00008165937,0.0013502775,0.0006954237,0.0017895937,0.0002919458,0.00072799844,0.0003486889],"about_ca_topic_score_codex":0.0011383358,"about_ca_topic_score_gemma":0.001789938,"teacher_disagreement_score":0.8857298,"about_ca_system_score_codex":0.000016462527,"about_ca_system_score_gemma":0.0000019964302,"threshold_uncertainty_score":0.53030616},"labels":[],"label_agreement":null},{"id":"W4406609890","doi":"10.1016/j.agrformet.2025.110407","title":"A model-data fusion approach for quantifying the carbon budget in cotton agroecosystems across the United States","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"U.S. Department of Agriculture; Foundation for Food and Agriculture Research; National Science Foundation","keywords":"Agroecosystem; Environmental science; Ecology; Agriculture; Biology","score_opus":0.04422244436044014,"score_gpt":0.27186557736531924,"score_spread":0.2276431330048791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406609890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99370325,0.00067141483,0.000041360465,0.0044344733,0.00013004465,0.000691616,0.00015472028,0.000040642288,0.00013250491],"genre_scores_gemma":[0.9968757,0.00024888548,0.000081596576,0.00065530674,0.000081881466,0.00013096661,0.001773848,0.0000011955326,0.00015058761],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985531,0.00018577022,0.00029214352,0.00042103985,0.00011329707,0.0004346684],"domain_scores_gemma":[0.9989978,0.00062487536,0.00009977866,0.00014952416,0.000084319945,0.000043667293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007197466,0.00020134603,0.00025919953,0.000016283813,0.00043062205,0.00009368149,0.000631089,0.00016913986,9.845062e-7],"category_scores_gemma":[0.000078604084,0.000047826128,0.0000694276,0.0005937272,0.00014785871,0.00007124762,0.00036536317,0.00021379074,4.0084393e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031243798,0.0013218562,0.59519035,0.0006056673,0.0010103171,0.000017591394,0.012727434,0.081591636,0.16205046,0.06134546,0.010070091,0.07094474],"study_design_scores_gemma":[0.00037001862,0.00012564004,0.1742266,0.000012673539,0.000043080363,0.00001795298,0.0041238195,0.8179182,0.000080143545,0.0011556064,0.0017566967,0.00016956804],"about_ca_topic_score_codex":0.005255626,"about_ca_topic_score_gemma":0.04838093,"teacher_disagreement_score":0.7363266,"about_ca_system_score_codex":0.000021478472,"about_ca_system_score_gemma":0.0000062707963,"threshold_uncertainty_score":0.96898365},"labels":[],"label_agreement":null},{"id":"W4406799613","doi":"10.1016/j.agrformet.2025.110395","title":"Separating leaf area index from plant area index using semi-supervised classification of digital hemispheric canopy photographs: A case study of dryland vegetation","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Rio Tinto; Department of Industry, Science, Energy and Resources, Australian Government; University of Western Australia","keywords":"Leaf area index; Canopy; Vegetation (pathology); Vegetation Index; Index (typography); Remote sensing; Environmental science; Enhanced vegetation index; Normalized Difference Vegetation Index; Forestry; Hydrology (agriculture); Geography; Geology; Computer science; Ecology; Archaeology; Biology","score_opus":0.01624516348780873,"score_gpt":0.2278555353051732,"score_spread":0.21161037181736447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406799613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854565,0.0000884194,0.00021389117,0.000025250332,0.00008003823,0.00044307922,0.00002136905,0.000022651473,0.0005596374],"genre_scores_gemma":[0.999616,0.0000080021755,0.00021163796,0.000018676657,0.000017947501,0.0000061194623,0.00008344624,0.0000051806946,0.00003294822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986623,0.000082933344,0.00044268757,0.00039918377,0.00020060598,0.00021228426],"domain_scores_gemma":[0.99928135,0.0001458098,0.00029548185,0.0001681434,0.000046101406,0.000063124986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000079840174,0.00022111308,0.00036229152,0.000045675624,0.00013232548,0.000036223184,0.00012390921,0.00017495456,0.000014010343],"category_scores_gemma":[0.000037567654,0.00013448899,0.00006193756,0.00054631196,0.00017634046,0.00022586543,0.00011246386,0.00015923109,8.7601217e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006366831,0.00016440351,0.81845844,0.00001727226,0.0000882796,0.000037760557,0.0021872513,0.00577743,0.17245665,0.0000028387233,0.000050131763,0.0006958801],"study_design_scores_gemma":[0.0008817369,0.00021280255,0.9439261,0.00004143899,0.00011521093,0.00027574511,0.008322697,0.04444451,0.0014621828,0.00012964636,0.0000072411913,0.00018070641],"about_ca_topic_score_codex":0.00799045,"about_ca_topic_score_gemma":0.013269694,"teacher_disagreement_score":0.17099448,"about_ca_system_score_codex":0.000058377373,"about_ca_system_score_gemma":0.000010553743,"threshold_uncertainty_score":0.99861544},"labels":[],"label_agreement":null},{"id":"W4408075924","doi":"10.1016/j.agrformet.2025.110463","title":"Inter-comparison of soybean models for the simulation of evapotranspiration in a humid continental climate","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Evapotranspiration; Environmental science; Climatology; Biometeorology; Climate model; Atmospheric sciences; Climate change; Meteorology; Geology; Geography; Ecology; Oceanography; Biology","score_opus":0.0427249166666448,"score_gpt":0.2956619452234975,"score_spread":0.2529370285568527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408075924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966944,0.0005622313,0.00010066278,0.0016886385,0.000091619535,0.0006217664,0.000087446606,0.000014488337,0.00013874346],"genre_scores_gemma":[0.99956816,0.00006663487,0.00003360282,0.000076596414,0.000043447722,0.000043501328,0.00014347352,5.665984e-7,0.000023992294],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990303,0.000053761985,0.0004272436,0.00019014238,0.00007897807,0.00021956894],"domain_scores_gemma":[0.9989462,0.0006682265,0.00019474149,0.00003950249,0.00012494093,0.000026391242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020607543,0.0001363023,0.00032460853,0.000021890044,0.000090603346,0.00001535621,0.00015030983,0.00013372893,0.000011919705],"category_scores_gemma":[0.0000553685,0.000038407088,0.00009981304,0.0002909836,0.00009399949,0.00014223238,0.000047923968,0.00008866349,3.0431423e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009319095,0.0005025406,0.17426118,0.00023472577,0.000121694866,4.821645e-7,0.0022605069,0.029396882,0.7361219,0.012483613,0.0002869328,0.043397643],"study_design_scores_gemma":[0.00072661805,0.0006797404,0.9481929,0.00007438416,0.00009054701,0.0000022998574,0.002007651,0.039188337,0.0065240758,0.0020787814,0.0002844186,0.00015023506],"about_ca_topic_score_codex":0.00023932378,"about_ca_topic_score_gemma":0.008388992,"teacher_disagreement_score":0.77393174,"about_ca_system_score_codex":0.000013475187,"about_ca_system_score_gemma":0.0000024151846,"threshold_uncertainty_score":0.46812546},"labels":[],"label_agreement":null},{"id":"W4408310426","doi":"10.1016/j.agrformet.2025.110496","title":"Global distribution of leaf maximum carboxylation rate derived from the TROPOMI solar-induced chlorophyll fluorescence data","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; University of Toronto","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; Central University Basic Research Fund of China; National Natural Science Foundation of China","keywords":"Environmental science; Chlorophyll fluorescence; Carboxylation; Atmospheric sciences; Remote sensing; Botany; Meteorology; Chlorophyll; Chemistry; Biology; Physics; Geology","score_opus":0.011041321729780078,"score_gpt":0.21745135449996086,"score_spread":0.20641003277018077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408310426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960561,0.00010650766,0.00032504564,0.0023235623,0.00029104363,0.0002619841,0.00014110938,0.000028388211,0.00046627902],"genre_scores_gemma":[0.9984197,0.00005167751,0.0003847635,0.00013418555,0.00007069401,0.000002039843,0.00088491425,0.0000025468714,0.000049461254],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986807,0.0001854963,0.00026294033,0.000463262,0.00015137966,0.00025623626],"domain_scores_gemma":[0.99922603,0.00013816661,0.00014748353,0.00040630662,0.000030286199,0.00005171309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016482145,0.00018852548,0.00023009753,0.000005519987,0.00020101518,0.000035273748,0.00049495517,0.00016723553,0.000018566572],"category_scores_gemma":[0.00015444087,0.00009061792,0.000047763166,0.00035943912,0.00029564177,0.00021619925,0.00055168715,0.00014606603,0.000017309167],"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":[0.00020418395,0.0000821556,0.30580297,0.000011129687,0.00013375886,0.000007481631,0.00018759974,0.00061367726,0.6563661,0.0008679224,0.008257037,0.027465964],"study_design_scores_gemma":[0.0003203965,0.000065036234,0.9930733,0.000011609635,0.00008104342,0.000010922601,0.00009791629,0.0012734532,0.0025398028,0.0018678033,0.00053758273,0.000121141],"about_ca_topic_score_codex":0.0042630904,"about_ca_topic_score_gemma":0.004017385,"teacher_disagreement_score":0.68727034,"about_ca_system_score_codex":0.000087077526,"about_ca_system_score_gemma":0.000009278718,"threshold_uncertainty_score":0.6444546},"labels":[],"label_agreement":null},{"id":"W4408495855","doi":"10.1016/j.agrformet.2025.110500","title":"Tree-ring width series of synchronously growing trees' classes effectively optimizes their climatic signal","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; Qinghai Provincial Key Laboratory of Qinghai‐Tibet Plateau Biological Resources; National Natural Science Foundation of China","keywords":"Dendrochronology; Series (stratigraphy); Tree (set theory); SIGNAL (programming language); Biometeorology; Environmental science; Meteorology; Mathematics; Computer science; Biology; Geography; Botany; Canopy; Combinatorics","score_opus":0.00868189561169025,"score_gpt":0.20370898365141438,"score_spread":0.19502708803972413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408495855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937838,0.0018649648,0.00007976788,0.00043730772,0.00018209389,0.00022279631,0.000040932133,0.00007443824,0.0033139547],"genre_scores_gemma":[0.99799687,0.00025147342,0.0014194497,0.0000654174,0.00004927979,0.0000067664487,0.000050388055,0.0000034076957,0.00015693172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985764,0.00023355582,0.0003434701,0.0003262269,0.00011145567,0.00040887442],"domain_scores_gemma":[0.9983973,0.0012218867,0.00013432815,0.00011556794,0.00005150211,0.00007945266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000240614,0.00025973105,0.0004994443,0.00013519135,0.00022068356,0.00005042746,0.0002037903,0.00013002846,0.00011357429],"category_scores_gemma":[0.00009679169,0.00014465355,0.00011511568,0.0002953295,0.00030580515,0.00047009575,0.000048788068,0.00015305968,0.000011928966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085680536,0.00005607183,0.89150804,0.00032306046,0.00036948148,0.000024746525,0.00054812955,0.006547792,0.011060945,0.002361961,0.00012521539,0.08621776],"study_design_scores_gemma":[0.0004772484,0.0006415565,0.9927929,0.00008315598,0.00008831568,0.00008893106,0.0006790993,0.0012673624,0.0024399902,0.0011591904,0.00009919495,0.00018304329],"about_ca_topic_score_codex":0.0006869717,"about_ca_topic_score_gemma":0.0075868177,"teacher_disagreement_score":0.101284884,"about_ca_system_score_codex":0.000006472876,"about_ca_system_score_gemma":0.000029203726,"threshold_uncertainty_score":0.58988},"labels":[],"label_agreement":null},{"id":"W4408644083","doi":"10.1016/j.agrformet.2025.110505","title":"The impact of photovoltaic plants on dryland vegetation phenology revealed by time-series remote sensing images","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Phenology; Remote sensing; Vegetation (pathology); Series (stratigraphy); Environmental science; Vegetation Index; Time series; Photovoltaic system; Meteorology; Normalized Difference Vegetation Index; Geography; Climate change; Ecology; Geology; Mathematics; Statistics; Biology","score_opus":0.003383225975204539,"score_gpt":0.2157627777775525,"score_spread":0.21237955180234797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408644083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99619955,0.00034929183,0.000026538342,0.00024322656,0.00007128075,0.00028070903,0.000009733732,0.000017329923,0.0028023403],"genre_scores_gemma":[0.99787724,0.000058057107,0.000061748615,0.00004084979,0.000011495969,0.000002617839,0.000015370184,0.0000029748333,0.0019296164],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999007,0.0001628357,0.0002372599,0.00024341955,0.000084398984,0.0002650813],"domain_scores_gemma":[0.9994234,0.00025136783,0.00011525217,0.00015174338,0.000022062066,0.00003619308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025020086,0.00014705176,0.00024601526,0.00001929635,0.00023010946,0.000017785644,0.000107393214,0.000102407146,0.000017776078],"category_scores_gemma":[0.00011011187,0.00006833549,0.00006756631,0.00012955659,0.00038507057,0.000086631415,0.000083465515,0.00010238894,0.000012789434],"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":[0.0007998957,0.000067208384,0.17409468,0.000053510008,0.00020997024,0.000011966801,0.0006812468,0.0005246149,0.7489831,0.000096644275,0.035188776,0.039288398],"study_design_scores_gemma":[0.0003512679,0.0003746368,0.98519707,0.000013851314,0.000016646967,0.000038715167,0.0001607842,0.000531803,0.0063387435,0.0059072366,0.0009666737,0.00010259023],"about_ca_topic_score_codex":0.005769983,"about_ca_topic_score_gemma":0.0009207993,"teacher_disagreement_score":0.8111024,"about_ca_system_score_codex":0.000083562336,"about_ca_system_score_gemma":0.000009463944,"threshold_uncertainty_score":0.87225264},"labels":[],"label_agreement":null},{"id":"W4408853494","doi":"10.1016/j.agrformet.2025.110501","title":"Interannual climatic sensitivity of surface energy flux densities and evapotranspiration in a disturbed and rewetted ombrotrophic bog","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Foundation for Innovation","keywords":"Ombrotrophic; Evapotranspiration; Environmental science; Climatology; Flux (metallurgy); Bog; Atmospheric sciences; Energy flux; Peat; Geology; Geography; Physics","score_opus":0.0032232656981856533,"score_gpt":0.17846184162175407,"score_spread":0.17523857592356842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408853494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900144,0.00013922811,0.00013016183,0.00037674577,0.000028335418,0.00008233494,0.000011737517,0.00000782998,0.0002222063],"genre_scores_gemma":[0.9994814,0.000090020876,0.00013054268,0.0000789402,0.0000033903864,0.000003910449,0.00003597363,0.0000015874779,0.00017424971],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993924,0.00011281168,0.00016247838,0.00016575286,0.00004925274,0.00011734219],"domain_scores_gemma":[0.9997873,0.00009375859,0.00004012362,0.00004537661,0.000007503189,0.000025939973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012253334,0.00009319286,0.00017328402,0.000026854097,0.000047693793,0.00001210016,0.000023355646,0.00007541076,0.000004447624],"category_scores_gemma":[0.000011900506,0.000060178125,0.000015358411,0.00011028512,0.00019072815,0.00011338683,0.000063161664,0.000066462584,4.5829535e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017132604,0.00006935374,0.7820128,0.0000807367,0.000057159174,0.000021744185,0.0016248547,0.013966543,0.18998668,0.007710719,0.000047290447,0.004250782],"study_design_scores_gemma":[0.0003381655,0.00007654192,0.9542853,0.000019545183,0.000030389167,0.0000403244,0.000057009245,0.043330166,0.00026224638,0.0014363761,0.000040439216,0.00008344728],"about_ca_topic_score_codex":0.0012119681,"about_ca_topic_score_gemma":0.009217058,"teacher_disagreement_score":0.18972443,"about_ca_system_score_codex":0.000016025533,"about_ca_system_score_gemma":0.0000019212926,"threshold_uncertainty_score":0.5143335},"labels":[],"label_agreement":null},{"id":"W4408988428","doi":"10.1016/j.agrformet.2025.110519","title":"Long-term field observations of the impacts of drought and stand development on runoff in a forested watershed","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Forestry and Grassland Administration; National Key Research and Development Program of China; China Scholarship Council; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Watershed; Surface runoff; Environmental science; Term (time); Hydrology (agriculture); Field (mathematics); Geology; Ecology","score_opus":0.007916740718160733,"score_gpt":0.19840605934675007,"score_spread":0.19048931862858934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408988428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99888015,0.000047670903,0.000010720082,0.00055665086,0.000030317276,0.0001381122,0.0000042192273,0.0000027204242,0.00032946243],"genre_scores_gemma":[0.9994779,0.000033077373,0.00010269944,0.00006793426,0.0000016254202,0.000007001377,0.000011354761,9.821583e-7,0.00029742648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995577,0.000024421393,0.00016286389,0.00010028069,0.00005477842,0.00009999087],"domain_scores_gemma":[0.9998091,0.000057478057,0.000049274822,0.000060600727,0.0000056071945,0.00001797075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005880665,0.000065299806,0.00010968469,0.000022474609,0.000042963995,0.000004593038,0.00006987484,0.000057738278,0.0000067749174],"category_scores_gemma":[0.0000146033035,0.000031332147,0.000016652752,0.00014687092,0.00007556921,0.000050415227,0.00009395133,0.000057374826,3.7868142e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024910767,0.000023278035,0.9915684,0.00001347528,0.000012046825,6.316979e-7,0.0002891673,0.00031317302,0.006480997,0.0007543762,0.000027216298,0.0004923654],"study_design_scores_gemma":[0.00025781663,0.000060721897,0.9970872,0.00002841563,0.000010893287,0.0000042743713,0.000015771255,0.00017257368,0.001886516,0.00037715083,0.000057761936,0.000040931838],"about_ca_topic_score_codex":0.00015361569,"about_ca_topic_score_gemma":0.0044863196,"teacher_disagreement_score":0.0055188104,"about_ca_system_score_codex":0.00001845579,"about_ca_system_score_gemma":0.000005458837,"threshold_uncertainty_score":0.25034717},"labels":[],"label_agreement":null},{"id":"W4409411123","doi":"10.1016/j.agrformet.2025.110555","title":"Spring phenology and productivity alter vegetation vulnerability under summer droughts over Northern Hemisphere","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Phenology; Spring (device); Environmental science; Northern Hemisphere; Vegetation (pathology); Productivity; Climatology; Vulnerability (computing); Biometeorology; Physical geography; Ecology; Geography; Canopy; Biology; Geology","score_opus":0.005775666438368687,"score_gpt":0.20362163872642416,"score_spread":0.19784597228805548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409411123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965198,0.00019620563,0.00019194334,0.0008563951,0.00009713291,0.00014012957,0.0000016540994,0.000021555514,0.0019751994],"genre_scores_gemma":[0.9989892,0.00002363288,0.00014152304,0.00014651232,0.000021807433,0.000014819638,0.000012157927,0.0000025828128,0.0006477406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992593,0.00005935412,0.00012457877,0.00032062538,0.000055875695,0.00018025922],"domain_scores_gemma":[0.9997691,0.00004925985,0.000039900195,0.000095715965,0.000008362562,0.00003768377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009254539,0.00011562574,0.00013514888,0.00001260622,0.00012638743,0.000017305307,0.00005550949,0.00010002523,0.000026676673],"category_scores_gemma":[0.000013789749,0.00007118032,0.000022688806,0.000099067445,0.00018371559,0.00016274377,0.00012153018,0.00012312563,0.000009808819],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017007127,0.000032049655,0.9810284,0.000011571425,0.000026509853,0.000001253578,0.00009628332,0.0028684295,0.008969814,0.0025190054,0.000024204486,0.00440551],"study_design_scores_gemma":[0.00020876311,0.00003125848,0.9884068,0.0000034306172,0.000029014282,0.0000173307,0.0000141779565,0.0016685969,0.00019659048,0.00870037,0.00062331033,0.000100378005],"about_ca_topic_score_codex":0.0010332968,"about_ca_topic_score_gemma":0.020648198,"teacher_disagreement_score":0.019614901,"about_ca_system_score_codex":0.000038554594,"about_ca_system_score_gemma":0.0000028327274,"threshold_uncertainty_score":0.9972224},"labels":[],"label_agreement":null},{"id":"W4409492677","doi":"10.1016/j.agrformet.2025.110564","title":"Hydrothermal drivers of seasonal and interannual dynamics of soil respiration and its temperature sensitivity in a temperate semiarid shrubland","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Shrubland; Temperate climate; Environmental science; Atmospheric sciences; Sensitivity (control systems); Soil respiration; Climatology; Soil water; Ecology; Soil science; Geology; Ecosystem; Biology","score_opus":0.0025444094438052483,"score_gpt":0.17814002632271267,"score_spread":0.17559561687890743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409492677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999096,0.00008234809,0.000007305643,0.00034414296,0.000029677682,0.00010998949,0.00004178151,0.0000042740407,0.0002845123],"genre_scores_gemma":[0.9996687,0.00006887985,0.00003528392,0.00004086689,0.000005241126,0.0000032205337,0.000037676615,0.0000016514786,0.00013845146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994603,0.000063210144,0.0001488513,0.00016682567,0.000056608154,0.00010420275],"domain_scores_gemma":[0.99983,0.000042621923,0.00005046158,0.000035934438,0.0000120762825,0.00002890517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001319661,0.00009165152,0.00016894516,0.00003644396,0.000039426897,0.000010705324,0.000028752906,0.0001128757,0.00000520982],"category_scores_gemma":[0.000011544143,0.000059884485,0.000016179545,0.0001181063,0.0001400669,0.00015976657,0.00008736373,0.000109136396,2.8404543e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000956476,0.000028983763,0.90008605,0.000030213101,0.000025842093,0.000005720363,0.00046088512,0.00566676,0.089934796,0.0028418931,0.000017040566,0.0008061569],"study_design_scores_gemma":[0.00043034012,0.0000866183,0.93580455,0.00002129197,0.000019034247,0.000043693017,0.00007318234,0.062201053,0.00097085966,0.00026578127,0.0000107636915,0.00007281182],"about_ca_topic_score_codex":0.00030521673,"about_ca_topic_score_gemma":0.010304448,"teacher_disagreement_score":0.08896393,"about_ca_system_score_codex":0.000020368892,"about_ca_system_score_gemma":0.000004587826,"threshold_uncertainty_score":0.5750124},"labels":[],"label_agreement":null},{"id":"W4410017436","doi":"10.1016/j.agrformet.2025.110594","title":"Carbon sequestration capacity of a prairie pothole wetland under warm and dry conditions","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Carbon sequestration; Pothole (geology); Environmental science; Wetland; Hydrology (agriculture); Agroforestry; Carbon dioxide; Ecology; Geology; Biology","score_opus":0.008237290649769937,"score_gpt":0.21489867049463648,"score_spread":0.20666137984486654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410017436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922306,0.000052053354,0.000032870732,0.0020171837,0.00006224568,0.00012256448,0.000012753132,0.000014378181,0.005455344],"genre_scores_gemma":[0.99908584,0.000024783065,0.00010592724,0.00016431109,0.00001691028,0.000017052114,0.0000445011,0.0000016741106,0.0005390095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994041,0.000052616895,0.00014679522,0.00019222188,0.000047991834,0.00015632439],"domain_scores_gemma":[0.9997543,0.00006992723,0.000056174384,0.00006245248,0.000010040947,0.000047071895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008294526,0.00009702718,0.00016905699,0.000025466905,0.00009368638,0.000009091229,0.00004863406,0.00011264779,0.000034912275],"category_scores_gemma":[0.000016308562,0.000060008253,0.000021726122,0.00009888087,0.0003430973,0.00007643626,0.00007218124,0.0000812375,0.0000020214688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018560195,0.000033670283,0.9469097,0.000011066895,0.000027074011,0.0000017186203,0.00010630621,0.00009699382,0.044172276,0.0077639883,0.00065703917,0.00020160427],"study_design_scores_gemma":[0.00037576674,0.00016375822,0.98599905,0.00000434342,0.000040037896,0.000022172795,0.000060249644,0.00012916337,0.0007398161,0.011810095,0.00057982875,0.000075690994],"about_ca_topic_score_codex":0.0009616188,"about_ca_topic_score_gemma":0.00897646,"teacher_disagreement_score":0.04343246,"about_ca_system_score_codex":0.000018319835,"about_ca_system_score_gemma":0.000005223264,"threshold_uncertainty_score":0.50090754},"labels":[],"label_agreement":null},{"id":"W4410195227","doi":"10.1016/j.agrformet.2025.110602","title":"Warmer winter under climate change would reshape the winter subsurface drainage pattern in Eastern Canada","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Drainage; Climate change; Environmental science; Climatology; Hydrology (agriculture); Biometeorology; Physical geography; Geology; Geography; Oceanography; Ecology; Archaeology","score_opus":0.0246182013036168,"score_gpt":0.22358866321613025,"score_spread":0.19897046191251344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410195227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9762165,0.0014074034,0.0000021164665,0.017245648,0.0005610314,0.00023832549,0.00031118328,0.00001276337,0.0040050326],"genre_scores_gemma":[0.98914003,0.0002518344,0.0000019934846,0.0094587365,0.00012659296,0.000009030245,0.0004154017,0.0000026266225,0.0005937513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987696,0.00010615531,0.00021743923,0.00029434008,0.00010969041,0.000502789],"domain_scores_gemma":[0.9995586,0.00015907965,0.000053064672,0.00013156644,0.000027363458,0.0000702995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015532237,0.00019743195,0.00022403766,0.000044029788,0.00015572952,0.000054532466,0.00021953112,0.00014718508,0.00090587477],"category_scores_gemma":[0.000007874896,0.000095841686,0.000045102683,0.00018896468,0.00010842378,0.00014721259,0.000065593755,0.0003245574,0.00004649789],"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":[0.000044915487,0.0000071792147,0.9920148,0.00002558184,0.000020243497,0.000025591156,0.00054516026,0.000034172877,0.000051780244,0.000073389914,0.0018768723,0.0052802796],"study_design_scores_gemma":[0.00028706828,0.00006298243,0.9913809,0.000029819184,0.000024257042,0.000028791432,0.0011345575,0.00046558544,0.000009523945,0.00022565396,0.006204656,0.00014626389],"about_ca_topic_score_codex":0.45590314,"about_ca_topic_score_gemma":0.9921108,"teacher_disagreement_score":0.5362077,"about_ca_system_score_codex":0.000010875258,"about_ca_system_score_gemma":0.000015398076,"threshold_uncertainty_score":0.99186933},"labels":[],"label_agreement":null},{"id":"W4410369025","doi":"10.1016/j.agrformet.2025.110607","title":"Pioneering insights into the global and local origins of Betula spp. pollen in Iceland: Tracing long-distance transport pathways","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pollen; Tracing; Biometeorology; Geography; Biology; Physical geography; Environmental science; Ecology; Computer science","score_opus":0.006432276251745764,"score_gpt":0.19465523639616586,"score_spread":0.18822296014442008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410369025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99529403,0.0023782402,0.000052064133,0.0013892613,0.00012430621,0.00019273303,0.000014643592,0.000021031814,0.0005336824],"genre_scores_gemma":[0.99935025,0.0002811239,0.000022421484,0.00020014346,0.00005125325,0.000017989241,0.00003670852,5.0087885e-7,0.000039625942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990105,0.000064139596,0.0002939662,0.00028966885,0.000077274046,0.000264424],"domain_scores_gemma":[0.9996073,0.00018102949,0.000068515,0.000042880813,0.000036440942,0.00006379155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013057407,0.00016600278,0.00031386252,0.0000146114635,0.00015945155,0.00001353043,0.00016601123,0.00017731951,0.000013735658],"category_scores_gemma":[0.000016107948,0.000050388513,0.000057137713,0.00038848937,0.00024987297,0.00010022744,0.00006424491,0.00015808165,0.0000012680156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000176294,0.00010387375,0.86716384,0.000055455013,0.00006595384,0.000032478136,0.0011729803,0.00010875891,0.014521849,0.088577494,0.00003289787,0.027988117],"study_design_scores_gemma":[0.00029842055,0.00021384124,0.9923332,0.000020275578,0.00002676936,0.000019400508,0.000702355,0.00008012773,0.0002511534,0.0042837043,0.0016553474,0.00011542841],"about_ca_topic_score_codex":0.00435875,"about_ca_topic_score_gemma":0.12943311,"teacher_disagreement_score":0.12516934,"about_ca_system_score_codex":0.000050155588,"about_ca_system_score_gemma":0.0000089206305,"threshold_uncertainty_score":0.8864525},"labels":[],"label_agreement":null},{"id":"W4410383814","doi":"10.1016/j.agrformet.2025.110623","title":"Local and downwind precipitation has been boosted by evapotranspiration change-induced moisture recycling in the Chinese Loess Plateau","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Beijing Normal University; National Natural Science Foundation of China; Google","keywords":"Loess plateau; Evapotranspiration; Precipitation; Environmental science; Loess; Moisture; Hydrology (agriculture); Plateau (mathematics); Climate change; Water content; Atmospheric sciences; Climatology; Geology; Meteorology; Soil science; Geography; Geomorphology","score_opus":0.009832425003063888,"score_gpt":0.21502453983328207,"score_spread":0.20519211483021818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410383814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956628,0.00018269192,0.00016085686,0.0030311225,0.00005776895,0.00031712712,0.000011078051,0.000011795206,0.00056473055],"genre_scores_gemma":[0.99921596,0.000056122517,0.000034679433,0.00037475902,0.000013645129,0.00004817887,0.00016801452,0.000002124904,0.00008653504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931866,0.000088341505,0.0001529359,0.0002088837,0.00008126776,0.00014989938],"domain_scores_gemma":[0.99979275,0.00007416169,0.000041439613,0.000060025355,0.0000056037165,0.000026001704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015526473,0.000116452335,0.00011902335,0.00002671553,0.0001498031,0.000040338822,0.00008431741,0.00013862907,0.0000067611086],"category_scores_gemma":[0.000010205379,0.000058297792,0.000018293105,0.00022568628,0.00009885181,0.00020289148,0.000036926645,0.00015469044,0.0000031202776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016962764,0.00014153203,0.8936263,0.00003649305,0.000060619008,0.000012843107,0.00977723,0.005706364,0.04878483,0.0013040811,0.00044288064,0.039937202],"study_design_scores_gemma":[0.00036964923,0.00008335087,0.9909836,0.000008490693,0.000023841108,0.000019906274,0.000084143205,0.006618034,0.000054296157,0.0013137072,0.0003500742,0.00009092207],"about_ca_topic_score_codex":0.0015593467,"about_ca_topic_score_gemma":0.009806507,"teacher_disagreement_score":0.09735729,"about_ca_system_score_codex":0.000026248546,"about_ca_system_score_gemma":0.0000019050999,"threshold_uncertainty_score":0.54722613},"labels":[],"label_agreement":null},{"id":"W4411010841","doi":"10.1016/j.agrformet.2025.110657","title":"Coping with warming and drying climate: Xylem adjustment in four temperate diffuse-porous tree species in northeastern China","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China","keywords":"Xylem; Temperate climate; Environmental science; Porosity; Climate change; Coping (psychology); China; Ecology; Botany; Biology; Geography; Geology; Geotechnical engineering; Psychology","score_opus":0.010070069543174421,"score_gpt":0.20083901066039847,"score_spread":0.19076894111722406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411010841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964331,0.0015263763,0.0000021656624,0.0008227802,0.00010975229,0.00021875014,0.0000151067925,0.000031664305,0.0008403177],"genre_scores_gemma":[0.99874806,0.00073794014,0.00016835677,0.000113354916,0.000033618944,0.000006438831,0.000030120638,0.0000027352617,0.00015935126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876624,0.00011349381,0.0002551292,0.00033341156,0.00009104518,0.0004406856],"domain_scores_gemma":[0.9995705,0.00020954169,0.000063148414,0.0000803544,0.000013618564,0.00006283838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001723,0.00020078135,0.00031879763,0.00015339747,0.00012942706,0.000057695648,0.000097608056,0.00008029768,0.000018487282],"category_scores_gemma":[0.000024983548,0.00011196922,0.000019313287,0.00025842487,0.00011242036,0.00018267923,0.000043369193,0.0001679483,0.0000050083604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021683454,0.000014938962,0.98838794,0.000053867458,0.000014957708,0.000052525433,0.0003930428,0.00044448572,0.00024476493,0.00014760612,0.0000056158797,0.010023412],"study_design_scores_gemma":[0.0010171316,0.00022319131,0.99735004,0.00009132817,0.000018381092,0.00012362191,0.00042147978,0.00036834355,0.00003614884,0.000089544796,0.000101152036,0.00015964425],"about_ca_topic_score_codex":0.0030698245,"about_ca_topic_score_gemma":0.19705899,"teacher_disagreement_score":0.19398917,"about_ca_system_score_codex":0.000010455315,"about_ca_system_score_gemma":0.000013620035,"threshold_uncertainty_score":0.81759256},"labels":[],"label_agreement":null},{"id":"W4411195450","doi":"10.1016/j.agrformet.2025.110685","title":"Stability and transferability of broadly trained phenology models in a changing climate","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Transferability; Phenology; Biometeorology; Climate change; Climatology; Environmental science; Stability (learning theory); Geography; Meteorology; Computer science; Ecology; Machine learning; Biology; Geology","score_opus":0.008674960451764944,"score_gpt":0.20125539766852074,"score_spread":0.1925804372167558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411195450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419856,0.00016335612,0.00014124243,0.0013664672,0.000058201815,0.00029940455,0.000007215302,0.00002241601,0.003743142],"genre_scores_gemma":[0.99907756,0.00010164511,0.0006499749,0.00010393128,0.000008097342,0.000005399288,0.000008015152,0.0000024747844,0.000042874213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986939,0.0001449997,0.00029244585,0.0003929096,0.000075287695,0.0004004968],"domain_scores_gemma":[0.99965256,0.00012051851,0.000047112986,0.00011737219,0.000013404442,0.00004899892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034975022,0.00015964702,0.0003470579,0.000056203455,0.00008268562,0.000008162265,0.00009677759,0.00017096958,0.000030769574],"category_scores_gemma":[0.000035676017,0.00009334594,0.00004355035,0.00046006628,0.0004447796,0.00014499815,0.00015269348,0.0001616714,0.0000012845308],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057132763,0.0004680037,0.5769607,0.00034248794,0.00010321909,0.000015081302,0.013208711,0.004810661,0.32068938,0.039282452,0.00015472923,0.043393265],"study_design_scores_gemma":[0.0005543665,0.00012230573,0.9843259,0.000013415228,0.000024902954,0.000027515543,0.00056451827,0.0024350681,0.0012470147,0.010506546,0.000051929957,0.00012652928],"about_ca_topic_score_codex":0.0003576088,"about_ca_topic_score_gemma":0.0031369762,"teacher_disagreement_score":0.4073652,"about_ca_system_score_codex":0.000044120694,"about_ca_system_score_gemma":0.000003530576,"threshold_uncertainty_score":0.38065368},"labels":[],"label_agreement":null},{"id":"W4411209735","doi":"10.1016/j.agrformet.2025.110678","title":"A process model-guided transfer learning framework for mapping global gross primary production","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Primary (astronomy); Production (economics); Process (computing); Environmental science; Primary production; Computer science; Physics; Economics; Programming language","score_opus":0.04972967560771329,"score_gpt":0.3479947167391262,"score_spread":0.2982650411314129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411209735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79758805,0.0003038722,0.19607969,0.004621784,0.0002913704,0.0003276507,0.000005101715,0.00006517652,0.0007172943],"genre_scores_gemma":[0.99318993,0.000017179786,0.0049227225,0.00047186966,0.00010900808,0.00007695616,0.00001868594,0.000004094182,0.0011895741],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976481,0.00015549333,0.0006018013,0.0007872874,0.00040751763,0.00039975258],"domain_scores_gemma":[0.99858713,0.00050585496,0.00011915293,0.00020611552,0.00051465345,0.000067120556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013367847,0.00020689718,0.00045476903,0.00014200229,0.00053140405,0.00014505413,0.00038859638,0.00022614923,0.0000068978375],"category_scores_gemma":[0.0022855364,0.000117490454,0.00017310258,0.0015605732,0.00019881796,0.00030305822,0.000070692535,0.00023405897,0.000007442042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041785368,0.00027379242,0.14695843,0.00020667788,0.0003366487,0.0000049153377,0.00340006,0.5491779,0.008423075,0.2444656,0.004259058,0.04207602],"study_design_scores_gemma":[0.0006043399,0.00020204521,0.31970972,0.00007164667,0.00020262777,0.000066386434,0.0012526626,0.04575789,0.00042804316,0.62956953,0.0017128726,0.00042223724],"about_ca_topic_score_codex":0.000015855217,"about_ca_topic_score_gemma":0.000086279346,"teacher_disagreement_score":0.50342,"about_ca_system_score_codex":0.00005205768,"about_ca_system_score_gemma":0.000058369824,"threshold_uncertainty_score":0.47911218},"labels":[],"label_agreement":null},{"id":"W4411583516","doi":"10.1016/j.agrformet.2025.110686","title":"Network of networks: Time series clustering of AmeriFlux sites","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of British Columbia; University of British Columbia; McMaster University; Positive Living North; University of Manitoba","funders":"Workforce Development for Teachers and Scientists; Battelle; U.S. Department of Energy; Biological and Environmental Research; Office of Science; National Science Foundation","keywords":"Series (stratigraphy); Cluster analysis; Environmental science; Meteorology; Geography; Statistics; Mathematics; Geology","score_opus":0.005996684415830124,"score_gpt":0.19171550655192518,"score_spread":0.18571882213609506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411583516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9100713,0.003095174,0.081570886,0.001214884,0.00025967992,0.00016322067,0.0000033042793,0.00007402973,0.0035475031],"genre_scores_gemma":[0.98681694,0.00008041849,0.012162158,0.000084865525,0.0000632477,0.0000045058414,0.000009729514,0.0000023084883,0.00077581644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99911135,0.00005129888,0.00032538982,0.00021276555,0.00006338108,0.00023579362],"domain_scores_gemma":[0.99940795,0.00010758411,0.00018326356,0.0001650639,0.000102811566,0.000033313856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014547251,0.00012326888,0.0003807735,0.000036355184,0.00009030025,0.000024151945,0.00028564385,0.00007316769,0.000013432234],"category_scores_gemma":[0.000025728808,0.00007650458,0.00008414169,0.00053144817,0.00014573272,0.00023285163,0.00036279528,0.000071625174,0.0000014867014],"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":[0.00027817825,0.0001520006,0.13052897,0.00031519905,0.0011874565,0.000014498365,0.0012211631,0.31190503,0.028921919,0.4168667,0.009626145,0.098982744],"study_design_scores_gemma":[0.00059709436,0.0010157427,0.664085,0.00013358037,0.00020720395,0.00008492322,0.00019931661,0.31751752,0.0011974978,0.011899958,0.002596825,0.00046534848],"about_ca_topic_score_codex":0.000054768803,"about_ca_topic_score_gemma":0.00012332019,"teacher_disagreement_score":0.533556,"about_ca_system_score_codex":0.0000050756094,"about_ca_system_score_gemma":0.000008218701,"threshold_uncertainty_score":0.3119766},"labels":[],"label_agreement":null},{"id":"W4411733203","doi":"10.1016/j.agrformet.2025.110700","title":"Performance of an integrated modeling framework for spring wheat yield simulation in Saskatchewan, Canada","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Western University","funders":"","keywords":"Spring (device); Yield (engineering); Environmental science; Agronomy; Hydrology (agriculture); Geology; Engineering; Biology; Physics","score_opus":0.025118167016627314,"score_gpt":0.2437710697214974,"score_spread":0.2186529027048701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411733203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983273,0.00017004072,0.00006829791,0.00083575904,0.00013642348,0.0003539218,0.000044556313,0.00002544031,0.000038259932],"genre_scores_gemma":[0.9990134,0.000026992373,0.00046271132,0.00021540695,0.00007579786,0.00003100169,0.00011745203,8.564148e-7,0.000056383284],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99896103,0.000037058035,0.00030977334,0.00027998627,0.00009346514,0.00031867638],"domain_scores_gemma":[0.99920267,0.00045558,0.0000851496,0.000046773162,0.00013657579,0.00007326491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013802008,0.00017930391,0.00029996212,0.000021358128,0.00011097489,0.000022643366,0.00015845934,0.00021347689,0.000018089497],"category_scores_gemma":[0.00012406964,0.0000612012,0.000043726286,0.00039627161,0.00003073938,0.0001775597,0.00004901214,0.00017076239,2.1015354e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012460195,0.00035874755,0.2845668,0.00034060466,0.00014062722,0.000007213687,0.0011760049,0.23239961,0.2859491,0.0025036829,0.000234333,0.19107728],"study_design_scores_gemma":[0.00029820597,0.00050571933,0.88726497,0.00017779117,0.000037697155,0.0000051845104,0.005166895,0.103551835,0.0015843242,0.000773667,0.0003581204,0.00027561808],"about_ca_topic_score_codex":0.16259725,"about_ca_topic_score_gemma":0.94828117,"teacher_disagreement_score":0.78568393,"about_ca_system_score_codex":0.000059901646,"about_ca_system_score_gemma":0.000023129081,"threshold_uncertainty_score":0.8429791},"labels":[],"label_agreement":null},{"id":"W4411737383","doi":"10.1016/j.agrformet.2025.110701","title":"Global distribution pattern in characteristics of gross primary productivity response to soil water availability","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Primary productivity; Productivity; Environmental science; Primary production; Distribution (mathematics); Hydrology (agriculture); Soil science; Mathematics; Ecology; Geology; Ecosystem; Biology; Economics; Geotechnical engineering","score_opus":0.0031418800189451155,"score_gpt":0.1846988147652587,"score_spread":0.1815569347463136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411737383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980546,0.0000061640258,0.00020656816,0.0011076328,0.00008392015,0.0001754017,0.00014100334,0.000009556118,0.00021514912],"genre_scores_gemma":[0.999458,0.0000040145405,0.000023165827,0.00006850885,0.000007298772,0.000015343494,0.00018803404,9.903353e-7,0.00023465724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921143,0.00010910888,0.00019529051,0.00023215085,0.00006905286,0.00018298259],"domain_scores_gemma":[0.9997902,0.000029756127,0.00003127061,0.00010185005,0.000010663746,0.000036264468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030040034,0.00008966168,0.00016341654,0.000012551014,0.00004174979,0.000008505713,0.000079694066,0.00007383745,0.000017897542],"category_scores_gemma":[0.000037437643,0.000050525294,0.00002403657,0.0001608842,0.00011418269,0.00008271513,0.00019152527,0.00006114433,0.000011787969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022772586,0.00006288659,0.9769882,0.0000109499215,0.000005407659,0.0000023688908,0.000078736346,0.00038462016,0.018193308,0.000055370936,0.0000696302,0.0039208224],"study_design_scores_gemma":[0.00015613918,0.000064324966,0.99825096,0.000004850922,0.000009717974,0.000011016003,0.0000053408967,0.00013091804,0.00039082588,0.0004173943,0.00048801696,0.00007046408],"about_ca_topic_score_codex":0.0005687458,"about_ca_topic_score_gemma":0.0019086379,"teacher_disagreement_score":0.021262819,"about_ca_system_score_codex":0.00012446048,"about_ca_system_score_gemma":0.0000040464647,"threshold_uncertainty_score":0.20603617},"labels":[],"label_agreement":null},{"id":"W4412047547","doi":"10.1016/j.agrformet.2025.110697","title":"Why is there so much variability in crop multi-model studies?","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"BonaRes; National Science Fund for Distinguished Young Scholars; National Institute of Food and Agriculture; Priority Academic Program Development of Jiangsu Higher Education Institutions; National Key Research and Development Program of China; Higher Education Discipline Innovation Project; Institut National de la Recherche Agronomique; Commonwealth Scientific and Industrial Research Organisation; Academy of Finland; Ministero delle Politiche Agricole Alimentari e Forestali; China Scholarship Council; Bundesministerium für Bildung und Forschung; University of Southern Queensland; Grains Research and Development Corporation; Deutsche Forschungsgemeinschaft; Ministerstvo Školství, Mládeže a Tělovýchovy; U.S. Department of Agriculture; Agriculture and Agri-Food Canada; National Science Foundation","keywords":"Environmental science; Biometeorology; Biology; Ecology; Canopy","score_opus":0.046491005295356526,"score_gpt":0.2909288535094684,"score_spread":0.24443784821411188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412047547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97032315,0.0025950742,0.000007007184,0.025661658,0.00018603368,0.00047121343,0.00008179508,0.00008860832,0.0005854564],"genre_scores_gemma":[0.9918501,0.0008187642,0.00020756295,0.006033597,0.00009741433,0.0000794804,0.00008242411,0.0000012443464,0.00082941435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979347,0.00022977931,0.00041464597,0.0006650974,0.00014396822,0.0006117865],"domain_scores_gemma":[0.9989536,0.0004996105,0.000119312,0.00010006543,0.00019538205,0.00013205851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047815582,0.00036427245,0.0005494808,0.0000291249,0.00031139766,0.000088636916,0.0003184337,0.00035947937,0.00012352181],"category_scores_gemma":[0.0002876331,0.00010680517,0.00013004255,0.0007112664,0.00026166165,0.00021686405,0.00029070614,0.00032920056,0.000014645889],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040760846,0.0016284955,0.45552942,0.00031316176,0.0005708529,0.000056397414,0.0050980593,0.0002486669,0.36617014,0.012197591,0.11256644,0.04521319],"study_design_scores_gemma":[0.00056805223,0.00018311288,0.9810199,0.000047998445,0.000052837884,0.000022627924,0.0016347927,0.0006281364,0.00067575497,0.005594093,0.009219702,0.00035295315],"about_ca_topic_score_codex":0.0007469895,"about_ca_topic_score_gemma":0.026091577,"teacher_disagreement_score":0.5254905,"about_ca_system_score_codex":0.00008173184,"about_ca_system_score_gemma":0.0000093371755,"threshold_uncertainty_score":0.9916797},"labels":[],"label_agreement":null},{"id":"W4412102572","doi":"10.1016/j.agrformet.2025.110724","title":"Cell enlargement drives xylem hydraulic efficiency and safety in Pinus tabulaeformis on the Loess Plateau","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Pinus tabulaeformis; Xylem; Loess plateau; Environmental science; Loess; Geology; Woody plant; Soil science; Botany; Geomorphology; Biology","score_opus":0.0030580386400917018,"score_gpt":0.1715037097321881,"score_spread":0.16844567109209638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412102572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747248,0.00012937341,0.0000241026,0.0016898453,0.000064792956,0.00021068427,0.0000064461697,0.000011226137,0.023138702],"genre_scores_gemma":[0.9978561,0.00018821299,0.000023701887,0.00037325345,0.000006858002,0.000019032881,0.000016349468,0.0000018954931,0.0015146139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928874,0.00003092369,0.00015678651,0.000227122,0.00007728987,0.00021911746],"domain_scores_gemma":[0.99975216,0.000086676315,0.000037150363,0.00008499962,0.0000028867385,0.00003612703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014112677,0.00012069552,0.00012346564,0.000028898288,0.00015394055,0.00001948785,0.000114889735,0.00007395513,0.000054027336],"category_scores_gemma":[0.000007409489,0.000056226985,0.000022902908,0.00017004226,0.00014356259,0.000064625325,0.00014965095,0.00013512862,0.000019179564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031890295,0.0006058468,0.82300997,0.000057504047,0.000100298676,0.000066732355,0.004208172,0.053659175,0.01095459,0.07715245,0.003452934,0.026413415],"study_design_scores_gemma":[0.000413368,0.00012068933,0.9862079,0.000009600827,0.000016690694,0.000017101362,0.00012106436,0.005948532,0.00015692058,0.0018865092,0.0049780016,0.00012362927],"about_ca_topic_score_codex":0.00024741617,"about_ca_topic_score_gemma":0.0007061551,"teacher_disagreement_score":0.1631979,"about_ca_system_score_codex":0.00003818225,"about_ca_system_score_gemma":0.0000022959719,"threshold_uncertainty_score":0.22928698},"labels":[],"label_agreement":null},{"id":"W4412656038","doi":"10.1016/j.agrformet.2025.110755","title":"Spatiotemporal variation of forest water conservation based on dual-variable calibration of runoff and evapotranspiration with SWAT model","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nipissing University","funders":"National Natural Science Foundation of China","keywords":"Evapotranspiration; Surface runoff; Environmental science; Hydrology (agriculture); SWAT model; Ecology; Geology","score_opus":0.006464077760759559,"score_gpt":0.1821970039655127,"score_spread":0.17573292620475314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412656038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98124444,0.000008409399,0.015331347,0.0022491163,0.000026029098,0.0002435178,0.00000442377,0.000010332587,0.0008823588],"genre_scores_gemma":[0.99818933,0.000009641892,0.0011471916,0.00038311354,0.000004965933,0.000023653785,0.00008300983,0.0000020896903,0.00015702035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993962,0.000048308753,0.00018484062,0.00017588552,0.000085358544,0.000109421824],"domain_scores_gemma":[0.9997875,0.000039837818,0.00007213679,0.000066040986,0.000018843772,0.000015614127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015160772,0.000096514486,0.00015320153,0.000038956965,0.000095384705,0.0000064530436,0.000034830402,0.00007975981,0.000017455412],"category_scores_gemma":[0.000007817597,0.00005098272,0.000013585293,0.00009239148,0.0001742414,0.00018909162,0.000034915156,0.000043546497,6.6305137e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035710272,0.00007352108,0.4899235,0.00007679653,0.000049549864,5.211335e-7,0.00043087924,0.4735858,0.023312671,0.0119120795,0.00014396921,0.00013360496],"study_design_scores_gemma":[0.000655639,0.0004027362,0.74616987,0.000014077025,0.000080181635,6.8722096e-7,0.000014590341,0.24489486,0.0028890325,0.004764763,0.00003991736,0.000073634146],"about_ca_topic_score_codex":0.0005109052,"about_ca_topic_score_gemma":0.0009896762,"teacher_disagreement_score":0.2562464,"about_ca_system_score_codex":0.000011084291,"about_ca_system_score_gemma":0.0000037297182,"threshold_uncertainty_score":0.2079015},"labels":[],"label_agreement":null},{"id":"W4412718669","doi":"10.1016/j.agrformet.2025.110740","title":"Carbon dynamics, emission mitigation, and yield optimization in farmlands: A machine learning framework for multi-variable prediction","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Major Science and Technology Project of Hainan Province; Hainan Provincial Department of Science and Technology; Hainan University; National Natural Science Foundation of China","keywords":"Variable (mathematics); Yield (engineering); Environmental science; Computer science; Machine learning; Atmospheric sciences; Mathematics; Geology; Physics","score_opus":0.005272426979559588,"score_gpt":0.21081466185915612,"score_spread":0.20554223487959652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412718669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655277,0.0002157537,0.03250639,0.0007987893,0.00007198969,0.00044605017,0.000011746617,0.0000308115,0.0003907639],"genre_scores_gemma":[0.98566455,0.00012337873,0.013187967,0.00010607858,0.000018716897,0.000060216284,0.00016364684,0.0000040025234,0.0006714221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991974,0.0000522016,0.00018500112,0.00029393306,0.000058247195,0.00021322309],"domain_scores_gemma":[0.99970937,0.00011138372,0.000056989178,0.000054233504,0.000007822803,0.000060231745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015392018,0.00013701199,0.00015584897,0.00002851017,0.000171167,0.000021839805,0.0000522439,0.00020717058,0.00002560625],"category_scores_gemma":[0.00020564358,0.00008629897,0.000022649228,0.0001904726,0.0001141158,0.00015012715,0.00009685144,0.00018930635,4.1752003e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006401739,0.000062882085,0.9240951,0.00003271077,0.000013132874,6.230694e-7,0.00027248854,0.07168473,0.0011565263,0.0011312404,0.00005015491,0.0014364105],"study_design_scores_gemma":[0.0004445985,0.00016413564,0.7552677,0.00002785461,0.000029413553,0.000009434799,0.0005786989,0.2399987,0.0000759275,0.003120178,0.00017187058,0.0001115234],"about_ca_topic_score_codex":0.0009879541,"about_ca_topic_score_gemma":0.0012082218,"teacher_disagreement_score":0.16882741,"about_ca_system_score_codex":0.00014739526,"about_ca_system_score_gemma":0.0000030167082,"threshold_uncertainty_score":0.351917},"labels":[],"label_agreement":null},{"id":"W4412769844","doi":"10.1016/j.agrformet.2025.110759","title":"Land surface temperatures outperform gridded air temperatures in modeling forest growth across the Northern Hemisphere","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Key Research and Development Program of Zhejiang Province; Zhejiang University; National Natural Science Foundation of China","keywords":"Environmental science; Northern Hemisphere; Climatology; Atmospheric sciences; Biometeorology; Southern Hemisphere; Meteorology; Geology; Geography; Canopy","score_opus":0.007734942021371636,"score_gpt":0.21344831201412204,"score_spread":0.2057133699927504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412769844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928896,0.0033009632,0.000002434367,0.0025780639,0.00026813665,0.00026888103,0.00007105659,0.00006401816,0.00055689085],"genre_scores_gemma":[0.99853575,0.0003340756,0.000063247855,0.00044532228,0.00009697942,0.000006071864,0.00013739722,0.0000045775046,0.00037657245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983788,0.00013707869,0.00031252502,0.00041741336,0.00015649038,0.0005976515],"domain_scores_gemma":[0.999116,0.00047348975,0.00006205239,0.0001780403,0.00008416026,0.00008624114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030753048,0.00029486895,0.0003423429,0.00003741699,0.00047264923,0.00013074222,0.00034386324,0.00017915154,0.000029201788],"category_scores_gemma":[0.00013508528,0.00013747235,0.00008115234,0.00038008942,0.00017320713,0.00021866115,0.000064619555,0.00042788914,0.000020124127],"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":[0.00021289529,0.000013392566,0.9595108,0.00003471378,0.000038214133,0.000018634762,0.00036874588,0.038869865,0.00023160956,0.00015506834,0.00015859795,0.00038747146],"study_design_scores_gemma":[0.0005193141,0.00009022776,0.9919991,0.000034947392,0.00002173738,0.00009037807,0.0009232851,0.005073065,0.00009200659,0.0007153509,0.00022811098,0.00021246822],"about_ca_topic_score_codex":0.008299189,"about_ca_topic_score_gemma":0.32158637,"teacher_disagreement_score":0.3132872,"about_ca_system_score_codex":0.000009927869,"about_ca_system_score_gemma":0.00003505646,"threshold_uncertainty_score":0.9983046},"labels":[],"label_agreement":null},{"id":"W4412862469","doi":"10.1016/j.agrformet.2025.110748","title":"Rainfall-induced changes in vertical O3 and SO2 within and above a boreal-temperate forest","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Natural Resources Canada; Environment and Climate Change Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; University of Toronto; Chinese Academy of Meteorological Sciences","keywords":"Temperate climate; Boreal; Environmental science; Taiga; Temperate rainforest; Atmospheric sciences; Biometeorology; Hydrology (agriculture); Climatology; Physical geography; Forestry; Geology; Geography; Ecology; Ecosystem; Canopy","score_opus":0.008409993262107516,"score_gpt":0.20349944366766698,"score_spread":0.19508945040555947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412862469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99471134,0.00072809024,0.000002173144,0.0027735995,0.0000883674,0.0001470353,0.000009971505,0.000019435985,0.00152001],"genre_scores_gemma":[0.9988052,0.00021659496,0.000121648576,0.00041690902,0.00005620097,0.0000056561107,0.000051306277,0.0000014369903,0.0003250236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912536,0.00004640658,0.00016911422,0.0003125659,0.000060523704,0.00028602136],"domain_scores_gemma":[0.99962115,0.00014887257,0.000029406337,0.000064620275,0.000019212643,0.00011674608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012891252,0.00016858781,0.0002519651,0.000010943143,0.00012521756,0.000051720395,0.00006994343,0.00015649611,0.00003722893],"category_scores_gemma":[0.000054753065,0.000098770084,0.000017474802,0.00015868222,0.00018338955,0.000106121144,0.000034389443,0.00016455761,0.000002599027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103721606,0.000011267673,0.9908121,0.00003914459,0.000027881573,0.00001890861,0.00034249792,0.000039657116,0.0048417463,0.0009526776,0.00015537092,0.0026550274],"study_design_scores_gemma":[0.0005644127,0.00019037418,0.99549234,0.000020757549,0.000022731892,0.000073340394,0.00032914587,0.00083633076,0.0007569858,0.0013312607,0.00023610091,0.00014621924],"about_ca_topic_score_codex":0.0015366117,"about_ca_topic_score_gemma":0.039223142,"teacher_disagreement_score":0.03768653,"about_ca_system_score_codex":0.0000026092653,"about_ca_system_score_gemma":0.000014652037,"threshold_uncertainty_score":0.97830856},"labels":[],"label_agreement":null},{"id":"W4412946569","doi":"10.1016/j.agrformet.2025.110762","title":"Hybrid deep learning model with joint water-carbon constraints for simultaneous estimation of evapotranspiration and gross primary production","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Key Technologies Research and Development Program; Science and Technology Major Project of Inner Mongolia; China Scholarship Council; National Natural Science Foundation of China","keywords":"Evapotranspiration; Environmental science; Primary production; Production (economics); Estimation; Joint (building); Hydrology (agriculture); Engineering; Economics","score_opus":0.004615511527895304,"score_gpt":0.17688191105509155,"score_spread":0.17226639952719625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412946569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983506,0.000025772542,0.015488456,0.00021507616,0.000028179167,0.0003097546,0.000004590748,0.00001742888,0.000404741],"genre_scores_gemma":[0.9972342,0.000023637143,0.0023565502,0.000020587639,0.0000058120963,0.00002655086,0.00012694176,0.0000027286949,0.00020295416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944335,0.000021889298,0.00015054809,0.00019683182,0.000060186798,0.00012716299],"domain_scores_gemma":[0.99983877,0.000030310859,0.00005084782,0.00004022114,0.00001682515,0.00002302632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009883442,0.000092077455,0.00013183351,0.000023624563,0.000098655095,0.000010932915,0.000026677446,0.00004970106,0.000001963035],"category_scores_gemma":[0.000016009093,0.00005053276,0.000016042526,0.000040402952,0.00019257009,0.000104006,0.000024079764,0.00006575629,3.3112505e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063344974,0.000017182341,0.004663082,0.000036190297,0.000016395526,7.4282286e-7,0.00019257372,0.9321535,0.04954627,0.00034298858,0.0000010042479,0.012966701],"study_design_scores_gemma":[0.00037141895,0.00023138327,0.030443326,0.000013809912,0.00007318935,0.00006986767,0.000013753927,0.96143883,0.0040409523,0.0031946287,0.000009773055,0.000099083954],"about_ca_topic_score_codex":0.00003457084,"about_ca_topic_score_gemma":0.000105889274,"teacher_disagreement_score":0.04550532,"about_ca_system_score_codex":0.00002421105,"about_ca_system_score_gemma":0.0000027917101,"threshold_uncertainty_score":0.20606661},"labels":[],"label_agreement":null},{"id":"W4413122102","doi":"10.1016/j.agrformet.2025.110768","title":"Weekly carbon and oxygen isotope dynamics in black spruce: A case study in the northeastern boreal forest of Quebec, Canada","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Chicoutimi; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Black spruce; Taiga; Boreal; Environmental science; Isotopes of oxygen; Atmospheric sciences; Forestry; Climatology; Ecology; Geography; Geology; Biology","score_opus":0.004283928141583549,"score_gpt":0.186244445879934,"score_spread":0.18196051773835045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413122102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971679,0.00004243701,0.0000012992839,0.0006676126,0.00004009192,0.00038477697,0.000011971875,0.000003092135,0.0016808297],"genre_scores_gemma":[0.9996127,0.000016295988,0.000007717818,0.00007382153,0.0000050877047,0.000021104273,0.000021805157,0.0000022219886,0.00023924584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917763,0.000100023724,0.00023195992,0.00020417666,0.00009637534,0.0001898157],"domain_scores_gemma":[0.9997345,0.00007294699,0.000052210362,0.00010303311,0.0000060759344,0.000031234318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014149047,0.00012134365,0.00018570172,0.000036797803,0.000040759354,0.000013247365,0.000119304175,0.00006376137,0.0000018472367],"category_scores_gemma":[0.000007673753,0.00006594653,0.000014875816,0.00024395782,0.00012530196,0.00005466024,0.00012204736,0.00013991435,2.3320186e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017143122,0.000053849544,0.995979,0.0000061567125,0.000010671111,0.0002685317,0.00079975434,0.0019144779,0.000015812106,0.00033092577,0.00001391963,0.00058976247],"study_design_scores_gemma":[0.00040689332,0.00008077797,0.96926725,0.0000053179688,0.00002351329,0.00019509705,0.0041913674,0.025500698,5.4529795e-7,0.0002224218,0.000025425514,0.00008072222],"about_ca_topic_score_codex":0.9676914,"about_ca_topic_score_gemma":0.9998697,"teacher_disagreement_score":0.032178286,"about_ca_system_score_codex":0.00011326764,"about_ca_system_score_gemma":0.000018826742,"threshold_uncertainty_score":0.26892215},"labels":[],"label_agreement":null},{"id":"W4413208351","doi":"10.1016/j.agrformet.2025.110773","title":"ENSO impacts on maize production: a case study in Argentina","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Fondo para la Investigación Científica y Tecnológica; Kansas State University","keywords":"El Niño Southern Oscillation; Environmental science; Production (economics); Biometeorology; Climatology; Geography; Agroforestry; Geology; Economics","score_opus":0.018573993872850178,"score_gpt":0.24739302188428722,"score_spread":0.22881902801143705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413208351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950485,0.00015015656,5.3600647e-8,0.0030490218,0.00028158122,0.00045017307,0.000004206176,0.000042021773,0.0009742494],"genre_scores_gemma":[0.9987411,0.000021797181,0.000004338669,0.00022521906,0.00012878385,0.000039718445,0.000010972309,3.6154455e-7,0.0008277103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883986,0.00013373976,0.00023484402,0.0004164514,0.00008015288,0.00029496598],"domain_scores_gemma":[0.99963075,0.00014708748,0.000043843735,0.000062216845,0.00004628418,0.00006981863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022885947,0.00016432069,0.00023800616,0.00002239252,0.00020980848,0.000038015478,0.000096753225,0.00010212059,0.000053360214],"category_scores_gemma":[0.00010230216,0.00004984569,0.000057738387,0.00039817023,0.00006268841,0.00007933089,0.00007681595,0.00017871014,0.000008689285],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024730444,0.00082094484,0.95538294,0.0000145990325,0.000042785116,0.0005801669,0.0005283349,0.000011313986,0.01476877,0.0008467867,0.0009044217,0.025851632],"study_design_scores_gemma":[0.00024670892,0.00059725274,0.9945082,0.000008896466,0.00001767932,0.00038088055,0.0025532532,0.0000042117695,0.00018898718,0.00045650871,0.00091926707,0.00011815905],"about_ca_topic_score_codex":0.0020138717,"about_ca_topic_score_gemma":0.04664746,"teacher_disagreement_score":0.044633586,"about_ca_system_score_codex":0.000020006448,"about_ca_system_score_gemma":0.000004170085,"threshold_uncertainty_score":0.9707487},"labels":[],"label_agreement":null},{"id":"W4413406989","doi":"10.1016/j.agrformet.2025.110798","title":"Effects of tree geometry on the aerodynamics of sympodial trees with analysis of extreme gust wind","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Harbin Institute of Technology; Research Grants Council, University Grants Committee","keywords":"Aerodynamics; Geometry; Environmental science; Tree (set theory); Meteorology; Atmospheric sciences; Geology; Physics; Mathematics; Mechanics; Mathematical analysis","score_opus":0.005105634597780065,"score_gpt":0.17438726382504244,"score_spread":0.16928162922726236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413406989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828666,0.0007463279,0.000057106918,0.00014028927,0.000055422,0.00013250772,0.000016762118,0.000014858655,0.00055003574],"genre_scores_gemma":[0.9998219,0.00006194825,0.000030020576,0.0000051855304,0.000010096224,0.0000071565128,0.000009444437,0.0000026979092,0.000051524406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994149,0.00003696657,0.0002184995,0.0001179607,0.00008303265,0.0001286472],"domain_scores_gemma":[0.99912053,0.0006274739,0.00006056013,0.00011791623,0.000056840505,0.000016687003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007157341,0.00013035002,0.00047667662,0.00014959148,0.000031952684,0.0000026946548,0.00009894421,0.000069289395,0.0000031881066],"category_scores_gemma":[0.00004897415,0.00005807359,0.00011166588,0.00074077933,0.00018643602,0.000026161983,0.000033027718,0.000075063435,1.5441246e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022891814,0.00014376058,0.92402756,0.00045657574,0.0060707866,0.0000020558755,0.00069333956,0.026897294,0.02374235,0.014415561,0.00016016023,0.003161633],"study_design_scores_gemma":[0.00028223995,0.00026375626,0.99544656,0.000021205838,0.0009878263,4.9981446e-7,0.00014574718,0.00070067216,0.001968863,0.00010220297,0.000017081307,0.00006331402],"about_ca_topic_score_codex":0.00007542664,"about_ca_topic_score_gemma":0.017916454,"teacher_disagreement_score":0.07141903,"about_ca_system_score_codex":0.000009674612,"about_ca_system_score_gemma":0.0000033520564,"threshold_uncertainty_score":0.9997802},"labels":[],"label_agreement":null},{"id":"W4413505445","doi":"10.1016/j.agrformet.2025.110801","title":"Soil CO2 and CH4 effluxes in powerline rights-of-way and their adjacent forests","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Collège de Maisonneuve; GDG Environnement; Hydro-Québec; Natural Resources Canada; Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Soil science; Hydrology (agriculture); Geology","score_opus":0.0032061472366312757,"score_gpt":0.1861101196606908,"score_spread":0.18290397242405954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413505445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99654824,0.0011066579,0.0000058739265,0.00058071484,0.0001282947,0.00028672285,0.0000073935084,0.000015403515,0.0013207294],"genre_scores_gemma":[0.9994558,0.00011934761,0.000050948427,0.000069100184,0.00001614755,0.000022420283,0.00001600777,0.0000031309698,0.0002470958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990504,0.000087025,0.00022133798,0.00030181487,0.00006326495,0.00027617652],"domain_scores_gemma":[0.9995599,0.00019200683,0.00006637761,0.00009560681,0.000007543722,0.000078561825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018249595,0.00017089858,0.0003071379,0.000042432763,0.00007352186,0.000013848882,0.00008274705,0.000118037635,0.000023272261],"category_scores_gemma":[0.000033598433,0.000087851644,0.000026458956,0.00016773131,0.00027908135,0.00011621664,0.00019378847,0.00010408596,0.000003963302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007035552,0.00006927084,0.9708777,0.00006759091,0.000035456425,0.0000061517585,0.00055881543,0.00007288445,0.017087579,0.0021016728,0.00064951304,0.008403007],"study_design_scores_gemma":[0.00063378,0.0002283919,0.99267447,0.00002920167,0.000013108126,0.0000346887,0.000058783626,0.0008120969,0.0015235835,0.0015467053,0.0023315363,0.00011363467],"about_ca_topic_score_codex":0.0018532844,"about_ca_topic_score_gemma":0.028934829,"teacher_disagreement_score":0.027081544,"about_ca_system_score_codex":0.000028282022,"about_ca_system_score_gemma":0.0000025501565,"threshold_uncertainty_score":0.98878455},"labels":[],"label_agreement":null},{"id":"W4414015430","doi":"10.1016/j.agrformet.2025.110796","title":"Bark beetles as microclimate engineers – thermal characteristics of infested spruce trees at the canopy surface and below the canopy","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"KU Leuven; Svenska Forskningsrådet Formas; Skogs- och Jordbrukets Forskningsråd; Bolincentret för klimatforskning, Stockholms Universitet; McMaster University; Vetenskapsrådet; Stiftelsen Oscar och Lili Lamms Minne","keywords":"Canopy; Microclimate; Environmental science; Bark (sound); Biometeorology; Tree canopy; Agroforestry; Forestry; Hydrology (agriculture); Ecology; Geography; Biology; Engineering","score_opus":0.0033238880594831394,"score_gpt":0.185735720093652,"score_spread":0.18241183203416886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414015430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99581426,0.0003468942,0.0000022936993,0.0015927039,0.00016801411,0.0002833107,0.000016260092,0.000015495723,0.0017607628],"genre_scores_gemma":[0.9963815,0.000295668,0.00003945929,0.0006317479,0.000014307753,0.000020268844,0.000020954485,0.0000039684087,0.0025920896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916685,0.00008765725,0.0001938024,0.00021183137,0.000074627394,0.0002652463],"domain_scores_gemma":[0.99949133,0.00022103885,0.000091935704,0.00014418499,0.000011247848,0.000040286588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018120224,0.0001610158,0.00019633447,0.00001464101,0.00031332424,0.000015555073,0.00020184796,0.000096243995,0.00016084246],"category_scores_gemma":[0.000033198892,0.00007178723,0.000038254708,0.00015372742,0.00067168154,0.00006369097,0.000387294,0.00011991579,0.000022779837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020271263,0.000065143846,0.7155215,0.000043339758,0.00024867535,0.0000129899145,0.001516284,0.001743704,0.26556844,0.008535316,0.004164456,0.0023774148],"study_design_scores_gemma":[0.00023385067,0.000121041965,0.9928458,0.00000520555,0.000082343126,0.000028049913,0.00018178181,0.000057548492,0.0013839038,0.00024718916,0.0047179097,0.000095399184],"about_ca_topic_score_codex":0.0011574866,"about_ca_topic_score_gemma":0.010964383,"teacher_disagreement_score":0.27732423,"about_ca_system_score_codex":0.000034324745,"about_ca_system_score_gemma":0.0000068462,"threshold_uncertainty_score":0.61183834},"labels":[],"label_agreement":null},{"id":"W4414477095","doi":"10.1016/j.agrformet.2025.110846","title":"Clumping index estimation with 30°-tilted cameras in row crops: Evaluation of methods and segment size effects","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Biological and Environmental Research; Office of Science; National Aeronautics and Space Administration; U.S. Department of Energy; Center for Advanced Bioenergy and Bioproducts Innovation","keywords":"TRAC; Context (archaeology); Mean squared error; Leaf area index; Calibration; Image resolution; Field (mathematics); Radiative transfer; Digital camera","score_opus":0.020250386133711627,"score_gpt":0.28182756093508504,"score_spread":0.26157717480137344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414477095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99672085,0.0012439772,0.00006704116,0.0011538886,0.000058336107,0.00051918515,0.0000015117614,0.000014371442,0.00022083313],"genre_scores_gemma":[0.99860907,0.000058756043,0.0010123173,0.00016568872,0.000021623919,0.00007760772,0.000012170034,5.5892684e-7,0.000042238804],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987394,0.00039884492,0.00023508986,0.0002690978,0.00016303026,0.000194523],"domain_scores_gemma":[0.99934655,0.00032254303,0.00009816118,0.000037503567,0.00015283926,0.000042420408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084462104,0.00014272347,0.00025848142,0.000019082487,0.00010242261,0.000025555677,0.00007012257,0.00010290481,0.00002372907],"category_scores_gemma":[0.00020369874,0.000043762793,0.000026297334,0.00027919788,0.00009288659,0.0001037518,0.000060108236,0.00009886674,5.3763927e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001646439,0.00009693224,0.20110412,0.000103754894,0.00008759571,0.000001159634,0.00035884485,0.00066927617,0.18134533,0.00046102496,0.000042106538,0.61556524],"study_design_scores_gemma":[0.00069583504,0.0004571857,0.9883455,0.000074129646,0.000084746855,0.000005459252,0.00027127477,0.0039729048,0.0049974327,0.0009060807,0.000077924655,0.00011154334],"about_ca_topic_score_codex":0.0008915826,"about_ca_topic_score_gemma":0.0021039587,"teacher_disagreement_score":0.78724134,"about_ca_system_score_codex":0.000036695346,"about_ca_system_score_gemma":0.000010092206,"threshold_uncertainty_score":0.1784595},"labels":[],"label_agreement":null},{"id":"W4414943492","doi":"10.1016/j.agrformet.2025.110862","title":"Surface cooling potential of wetlands across the Prairie Pothole Region of Canada","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of British Columbia; Ducks Unlimited Canada; McGill University","funders":"Beef Cattle Research Council; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Wetland; Eddy covariance; Evapotranspiration; Hydrology (agriculture); Ecosystem; Growing season; Daytime; Climate change; Vegetation (pathology)","score_opus":0.0038409429910968395,"score_gpt":0.18495710007952432,"score_spread":0.1811161570884275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414943492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976853,0.000056899764,0.000096340875,0.0010107902,0.00008334173,0.000067867455,0.000016632388,0.000003438027,0.0009793689],"genre_scores_gemma":[0.9986665,0.000018024628,0.00004638928,0.000051146995,0.000005530746,0.0000015151245,0.000015041478,0.0000010553608,0.0011947852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953306,0.000030419536,0.00013542533,0.000095649186,0.00007261125,0.00013282202],"domain_scores_gemma":[0.999793,0.000040159674,0.000069536196,0.00006779021,0.000010225737,0.000019289813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007986705,0.000059689788,0.00010800622,0.000004115172,0.000095275296,0.0000045572046,0.00009796432,0.00004735794,0.0000056580784],"category_scores_gemma":[0.000009252905,0.000029153845,0.000023271532,0.00011103158,0.0001555877,0.000037990718,0.000096124815,0.000061176484,3.5128252e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012130249,0.000038684117,0.7965174,0.000026383208,0.00007556241,0.00001402372,0.00042229617,0.16692111,0.027094321,0.0038822615,0.0038371116,0.0010495794],"study_design_scores_gemma":[0.0001694331,0.000034622393,0.99404454,0.0000052241576,0.000022379063,0.000048443326,0.00012709858,0.0034192817,0.00051286846,0.00044173343,0.001123781,0.000050603794],"about_ca_topic_score_codex":0.058794603,"about_ca_topic_score_gemma":0.37168732,"teacher_disagreement_score":0.31289274,"about_ca_system_score_codex":0.00001667149,"about_ca_system_score_gemma":0.000010517259,"threshold_uncertainty_score":0.947473},"labels":[],"label_agreement":null},{"id":"W4415023389","doi":"10.1016/j.agrformet.2025.110883","title":"Mapping wood area in forests from ground lidar and estimating their light interception using radiative transfer modeling","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photosynthetically active radiation; Canopy; Interception; Lidar; Atmospheric radiative transfer codes; Radiative transfer; Absorptance; Absorption (acoustics); Biomass (ecology)","score_opus":0.015284828873166291,"score_gpt":0.220441062652376,"score_spread":0.20515623377920972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415023389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95993966,0.00012034373,0.038547277,0.00051266165,0.00006113057,0.00017667343,0.000003567033,0.000022203052,0.0006165077],"genre_scores_gemma":[0.9945828,0.000020416172,0.0052236505,0.00008794404,0.000032714564,0.0000052595938,0.00001952377,0.0000042115357,0.000023503218],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99918133,0.00005764778,0.00020326454,0.00031181372,0.00005049619,0.00019542582],"domain_scores_gemma":[0.9997783,0.00006492326,0.000027940454,0.00007685001,0.0000074304808,0.000044566317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009741656,0.00014257779,0.00018773109,0.000049238413,0.00016836959,0.00003910032,0.00006749221,0.00010115318,0.00001250567],"category_scores_gemma":[0.000015415675,0.00009203698,0.000030731382,0.00020394012,0.00008829254,0.00016555695,0.00007365406,0.00014469816,0.000003183062],"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":[0.00013450533,0.00018098493,0.21987955,0.000055949116,0.00019405276,0.000011830197,0.040182434,0.20607755,0.33148956,0.0014630941,0.000095590745,0.20023489],"study_design_scores_gemma":[0.00026598398,0.000023611077,0.5280043,0.000044220316,0.000016777276,0.000013689506,0.001060525,0.46410275,0.0001750353,0.0061346996,0.00004170623,0.00011672918],"about_ca_topic_score_codex":0.0025330337,"about_ca_topic_score_gemma":0.004315613,"teacher_disagreement_score":0.33131453,"about_ca_system_score_codex":0.000059843795,"about_ca_system_score_gemma":0.000003670876,"threshold_uncertainty_score":0.38292062},"labels":[],"label_agreement":null},{"id":"W4415321928","doi":"10.1016/j.agrformet.2025.110887","title":"Quantitative effects of soil organic matter on thermal conductivity modeling","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"High-end Foreign Experts Recruitment Plan of China; National Key Research and Development Program of China; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Soil water; Soil organic matter; Organic matter; Thermal conductivity; Mean squared error; Bulk density; Sensitivity (control systems)","score_opus":0.009970890462867518,"score_gpt":0.22234946341008102,"score_spread":0.21237857294721352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415321928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924691,0.00021132649,0.00026042477,0.0005762136,0.000120546356,0.00011774501,0.0000019795964,0.000023904362,0.0062188073],"genre_scores_gemma":[0.9986619,0.000010319296,0.00006549282,0.00022164373,0.000030791583,0.00005041959,0.0000094625175,0.000005515824,0.00094445824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99934566,0.000080102094,0.0001687448,0.00019801581,0.000049535487,0.00015795117],"domain_scores_gemma":[0.9995817,0.00015824595,0.000062595085,0.00011312177,0.00005521046,0.000029129016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005194409,0.00012604205,0.00023562946,0.000039319777,0.00008126929,0.000007901685,0.000081578284,0.00009871536,0.000039027334],"category_scores_gemma":[0.000020121635,0.00007238118,0.000051237534,0.00013377338,0.000067296976,0.00005387979,0.000039322476,0.0000889805,0.000035180725],"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":[0.00006537556,0.00013081783,0.0026670115,0.00010108153,0.00018826844,0.0000016089983,0.00024610356,0.11470508,0.30179188,0.57921356,0.00015593361,0.0007333066],"study_design_scores_gemma":[0.0019983486,0.0009001818,0.8982881,0.00015015049,0.00023537426,0.000025112688,0.0006082935,0.029926365,0.051041376,0.01543289,0.0008181169,0.0005757068],"about_ca_topic_score_codex":0.002607842,"about_ca_topic_score_gemma":0.0009386584,"teacher_disagreement_score":0.89562106,"about_ca_system_score_codex":0.000008957746,"about_ca_system_score_gemma":0.000007061893,"threshold_uncertainty_score":0.3942294},"labels":[],"label_agreement":null},{"id":"W4416427884","doi":"10.1016/j.agrformet.2026.111285","title":"The net greenhouse gas balance of an intensively managed forage crop in the Lower Fraser Valley in British Columbia, Canada","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital; University of Guelph","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Manure; Nitrous oxide; Carbon dioxide; Manure management; Forage; Crop; Soil carbon; Ecosystem","score_opus":0.005021430868293636,"score_gpt":0.1795517921466199,"score_spread":0.17453036127832627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416427884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964956,0.00039838988,1.4631378e-7,0.002322318,0.00015061635,0.00026366196,0.000026197402,0.000010504589,0.0003325677],"genre_scores_gemma":[0.99805295,0.00019054112,0.000010293765,0.001324297,0.000035556488,0.00003219527,0.00004130889,7.2676727e-7,0.00031212435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881995,0.00020575513,0.00027106807,0.00024754455,0.00012991106,0.00032574852],"domain_scores_gemma":[0.9993437,0.00038083424,0.00007681348,0.00007195438,0.000083672356,0.000043017884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027764792,0.00010814755,0.00022884083,0.0000073500128,0.00018366685,0.00010034303,0.0003825407,0.00010447274,0.000011670945],"category_scores_gemma":[0.000092991286,0.000041819327,0.00005049982,0.00043070264,0.0001617396,0.000073703304,0.000086186454,0.00021884315,3.2752732e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012847697,0.00020377136,0.95479125,0.000013388657,0.000045649285,0.00018517784,0.0001165038,0.000053824446,0.0012395188,0.0007674187,0.0063968645,0.03605814],"study_design_scores_gemma":[0.00028267186,0.00024630228,0.99406976,0.0000139407775,0.000011173559,0.000027903869,0.0013048513,0.00034054293,0.000007466093,0.001565977,0.0020267665,0.000102668724],"about_ca_topic_score_codex":0.8767322,"about_ca_topic_score_gemma":0.99968165,"teacher_disagreement_score":0.12294953,"about_ca_system_score_codex":0.000026973848,"about_ca_system_score_gemma":0.000018160128,"threshold_uncertainty_score":0.17053427},"labels":[],"label_agreement":null},{"id":"W4416829532","doi":"10.1016/j.agrformet.2025.110923","title":"Decoding carbon allocation in boreal forests: Integrating multi-proxy observations and process-based modelling","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Saskatchewan","funders":"Ministero dell'Istruzione e del Merito; Ministero dell'Università e della Ricerca; Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission","keywords":"Black spruce; Taiga; Boreal; Biomass (ecology); Primary production; Jack pine; Pinus <genus>; Carbon fibers; Productivity","score_opus":0.013785584293972244,"score_gpt":0.2243984411958493,"score_spread":0.21061285690187706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416829532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99331194,0.00007223143,0.005131819,0.00044756965,0.00003257119,0.00018955968,0.0000045260504,0.000022593757,0.0007872097],"genre_scores_gemma":[0.9961739,0.000025862448,0.0035199246,0.00007971961,0.0000063705556,0.000049654416,0.0000685114,0.0000028999477,0.00007316672],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931055,0.000029661109,0.00019016958,0.00022894346,0.00006863713,0.00017204962],"domain_scores_gemma":[0.9997901,0.00005645738,0.00004976698,0.00005357157,0.000015870759,0.000034257955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013657662,0.00011009261,0.00012083414,0.000049070917,0.00010317037,0.000024808342,0.000065061635,0.0000930372,0.0000018942998],"category_scores_gemma":[0.000029478193,0.00007322808,0.000015676776,0.00023792067,0.00007663064,0.00013992787,0.000045324326,0.00012433367,3.9535757e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008570228,0.00002083846,0.8282753,0.000011400526,0.000004910928,0.0000010618883,0.00020732242,0.16810107,0.0005707037,0.0019776886,0.0000025208583,0.00081856933],"study_design_scores_gemma":[0.00018813698,0.000016675289,0.43750992,0.000015044771,0.000009923614,0.0000029875855,0.000059534552,0.560726,0.000030640782,0.0013737065,0.000009986571,0.000057469217],"about_ca_topic_score_codex":0.0014999775,"about_ca_topic_score_gemma":0.013389295,"teacher_disagreement_score":0.39262488,"about_ca_system_score_codex":0.0000604741,"about_ca_system_score_gemma":0.00000901631,"threshold_uncertainty_score":0.74715406},"labels":[],"label_agreement":null},{"id":"W4416894114","doi":"10.1016/j.agrformet.2025.110960","title":"Beyond surface fluxes: Observational and computational needs of multilayer canopy models – A walnut orchard test case","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Laval; Commonwealth Scientific and Industrial Research Organisation; National Center for Atmospheric Research; National Science Foundation","keywords":"Canopy; Wind speed; Sensible heat; Atmospheric instability; Troposphere; Turbulence; Range (aeronautics); Latent heat; Orchard","score_opus":0.011527661820570802,"score_gpt":0.20676828718865614,"score_spread":0.19524062536808534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416894114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972962,0.00009744571,0.00039529006,0.00055696396,0.000042853444,0.00012969738,0.00008570377,0.00001221773,0.0013836166],"genre_scores_gemma":[0.9965904,0.000025861998,0.0021855785,0.00015589346,0.00000703827,0.000007084168,0.00010539805,0.0000023987002,0.0009203905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994118,0.000026301312,0.00018624148,0.00014977383,0.00008419589,0.00014165409],"domain_scores_gemma":[0.9996263,0.000191902,0.000055133012,0.000052300402,0.00002284048,0.000051551717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007570576,0.000109955705,0.00015167794,0.000030137597,0.00011054792,0.000012782855,0.00005772088,0.00008402823,0.000029371566],"category_scores_gemma":[0.000013017828,0.000071402406,0.000025898335,0.0001927738,0.00017867422,0.0001607732,0.00011429223,0.00007679989,0.0000029856162],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024038889,0.00006687263,0.5593323,0.00001655594,0.00004549627,0.000023750574,0.00064135855,0.4127361,0.005800294,0.020338306,0.0004377316,0.00053720997],"study_design_scores_gemma":[0.0005314474,0.00009679218,0.6153403,0.000007558849,0.00005132818,0.00059383875,0.0001534128,0.36332443,0.000056685763,0.019511519,0.00018068255,0.0001520292],"about_ca_topic_score_codex":0.00063040014,"about_ca_topic_score_gemma":0.00079014164,"teacher_disagreement_score":0.056007978,"about_ca_system_score_codex":0.000022864477,"about_ca_system_score_gemma":0.000007689317,"threshold_uncertainty_score":0.29117057},"labels":[],"label_agreement":null},{"id":"W6884307946","doi":"10.1016/j.agrformet.2025.110735","title":"Dynamic methane emissions in a restored wetland: Decadal insights into uncertain climate outcomes and critical science needs","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"U.S. Department of Energy; Department of Water Resources; National Science Foundation","keywords":"Methane; Wetland; Climate change; Methane emissions; Eddy covariance; Greenhouse gas; Atmospheric methane; Ecosystem; Carbon cycle","score_opus":0.00621714458346224,"score_gpt":0.26011626855195263,"score_spread":0.2538991239684904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6884307946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936018,0.00029601515,0.000020514095,0.003917991,0.00015526533,0.00014894143,0.0000023753762,0.00002445875,0.0018326307],"genre_scores_gemma":[0.9984936,0.0002388835,0.0006210946,0.00039016438,0.0000080718055,0.000033339486,0.000013071672,0.000003253607,0.00019848166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985738,0.000096613454,0.00026316792,0.00042827154,0.00013186196,0.00050632464],"domain_scores_gemma":[0.9993081,0.00033311016,0.000038936927,0.00012964208,0.000014567616,0.00017562204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031593253,0.00018962257,0.00033594307,0.00018535493,0.0003092638,0.0000356736,0.00021432918,0.00015482922,0.000041590996],"category_scores_gemma":[0.00026911218,0.000105630555,0.000033910757,0.000652903,0.0010797054,0.00021978836,0.0004916246,0.00019565965,0.000007898314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057834048,0.000052361916,0.9643522,0.000013381961,0.000009710769,0.000022238002,0.00067074585,0.000049069884,0.026524648,0.0060894275,0.00011889926,0.002039499],"study_design_scores_gemma":[0.0006445723,0.00016696106,0.98804617,0.000011717939,0.000024955541,0.000042205105,0.00027053617,0.00084052223,0.00008103773,0.009028417,0.00068864675,0.00015425273],"about_ca_topic_score_codex":0.0009210035,"about_ca_topic_score_gemma":0.014263835,"teacher_disagreement_score":0.02644361,"about_ca_system_score_codex":0.000086955384,"about_ca_system_score_gemma":0.000021785125,"threshold_uncertainty_score":0.7959555},"labels":[],"label_agreement":null},{"id":"W7092362816","doi":"10.1016/j.agrformet.2025.110882","title":"Inter-comparison of soybean models for simulation of evapotranspiration under rainfed and irrigated conditions","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Evapotranspiration; Eddy covariance; Biometeorology; Rainfed agriculture; Crop coefficient; Crop simulation model; Crop yield; Leaf area index; Mean squared error; Water balance","score_opus":0.014845248093116815,"score_gpt":0.25553154042981535,"score_spread":0.24068629233669853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7092362816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753588,0.000042094136,0.023604343,0.00016544508,0.00002718621,0.00019719187,0.000033236556,0.000007408058,0.00056433876],"genre_scores_gemma":[0.9994436,0.000005221577,0.000275122,0.000027257473,0.000002729722,0.000011966323,0.0001375221,0.0000013904518,0.00009517492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995698,0.00002117069,0.00019277199,0.00010757652,0.00003608851,0.000072605064],"domain_scores_gemma":[0.9997661,0.00008809478,0.00007163462,0.00003885971,0.000017273884,0.000018037266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005410838,0.0000610091,0.00013533937,0.00002743413,0.00005319905,0.00000458068,0.000033069075,0.00006853441,0.000009697396],"category_scores_gemma":[0.000006727374,0.000040227158,0.00002604729,0.000080967504,0.00011609547,0.000112430316,0.00002094613,0.000033705408,3.0097408e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004278685,0.00004518047,0.044918127,0.000022198643,0.000041840143,4.613875e-8,0.00035436652,0.901553,0.028606951,0.023633178,0.00002445839,0.00075787585],"study_design_scores_gemma":[0.0004168677,0.00013060245,0.23325586,0.000009417485,0.00007456744,0.0000012356953,0.00004918364,0.7262101,0.0007253454,0.039034806,0.000033739558,0.000058248115],"about_ca_topic_score_codex":0.00006365516,"about_ca_topic_score_gemma":0.0004698956,"teacher_disagreement_score":0.18833773,"about_ca_system_score_codex":0.000010041309,"about_ca_system_score_gemma":0.000002115057,"threshold_uncertainty_score":0.16404158},"labels":[],"label_agreement":null},{"id":"W7106150090","doi":"10.1016/j.agrformet.2025.110935","title":"Climate warming and forest expansion significantly enhance China’s forest methane sink","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Methane; Sink (geography); Greenhouse gas; Flux (metallurgy); Climate change; Atmospheric methane; Global warming","score_opus":0.0037493722647758995,"score_gpt":0.20041759026246606,"score_spread":0.19666821799769016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106150090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947691,0.000531932,0.001167354,0.0007252646,0.0001641361,0.0002996242,0.0000037189961,0.00005238456,0.002286509],"genre_scores_gemma":[0.99318063,0.0012599882,0.0037002037,0.00034726065,0.000035904788,0.000041531785,0.000027365868,0.00001144835,0.001395677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983563,0.00007051847,0.0002969787,0.0005765805,0.00015135868,0.0005482733],"domain_scores_gemma":[0.9994759,0.00008348893,0.000109596374,0.00017564524,0.0000047948306,0.00015059554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018103271,0.00030597698,0.0003388336,0.00001310052,0.00026600825,0.000028586728,0.00018227773,0.0001868794,0.000072696756],"category_scores_gemma":[0.000026859125,0.00019712972,0.000064932676,0.00017930138,0.000517299,0.0002702143,0.00048571857,0.0002066807,0.000033006847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019653256,0.00015354539,0.8629901,0.000066293534,0.0000726907,0.000035463483,0.0007952734,0.014575177,0.03791997,0.0036689728,0.00039916433,0.07912686],"study_design_scores_gemma":[0.00038147715,0.00022731126,0.99238086,0.000019190002,0.00006974291,0.000054586835,0.0003139409,0.00240853,0.00035811344,0.0026063605,0.00091221515,0.00026768594],"about_ca_topic_score_codex":0.0006158595,"about_ca_topic_score_gemma":0.0018858865,"teacher_disagreement_score":0.12939079,"about_ca_system_score_codex":0.000069090216,"about_ca_system_score_gemma":0.0000037406526,"threshold_uncertainty_score":0.80387163},"labels":[],"label_agreement":null},{"id":"W7115697352","doi":"10.1016/j.agrformet.2025.110990","title":"Intra-annual density fluctuations in Pinus massoniana across subtropical forests in China: Occurrence patterns and triggering factors","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province; Fundamental Research Funds for the Central Universities; China Scholarship Council; Science and Technology Program of Hunan Province; China National Funds for Distinguished Young Scientists; National University's Basic Research Foundation of China; National Natural Science Foundation of China","keywords":"Pinus massoniana; Subtropics; Precipitation; Mediterranean climate; Productivity; Temperate climate; Climate change; Disturbance (geology)","score_opus":0.009777633237333772,"score_gpt":0.23759473182911972,"score_spread":0.22781709859178595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115697352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853134,0.00028433796,0.000016449581,0.0005242534,0.00016810847,0.00016128001,0.00025280495,0.000024650843,0.00003679556],"genre_scores_gemma":[0.9996627,0.000114991955,0.000038512222,0.00003398926,0.000018256267,0.0000031660356,0.00010424694,0.0000011009993,0.000023044586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879843,0.00011976326,0.00025039323,0.00032429706,0.00008302783,0.0004240643],"domain_scores_gemma":[0.9994087,0.00036298748,0.00004761772,0.00007838355,0.000019016012,0.00008328056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014777928,0.00016959615,0.00028340286,0.00010875726,0.00012953684,0.00004947005,0.00011867054,0.00012908688,0.000026005338],"category_scores_gemma":[0.00016854476,0.000105721134,0.000031200947,0.00028954036,0.00013719406,0.0002109269,0.000050777515,0.00023221377,0.0000035515934],"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":[0.000062289895,0.000011879675,0.9930282,0.000019607021,0.00000949428,0.000023410794,0.000575819,0.00019731949,0.00003078609,0.00011165702,0.00001274957,0.005916745],"study_design_scores_gemma":[0.0004021329,0.000100397134,0.99804443,0.000022148259,0.000009707259,0.00003254588,0.00039064445,0.00039365084,0.000028043172,0.0004093675,0.00003663183,0.0001303146],"about_ca_topic_score_codex":0.007831344,"about_ca_topic_score_gemma":0.46429807,"teacher_disagreement_score":0.45646673,"about_ca_system_score_codex":0.000011268761,"about_ca_system_score_gemma":0.000016651431,"threshold_uncertainty_score":0.9987756},"labels":[],"label_agreement":null},{"id":"W7117481123","doi":"10.1016/j.agrformet.2025.110980","title":"Heat waves associated with higher methane emissions from dairy manure: A 6-year study","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Guelph; University of Alberta; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Methane; Methane emissions; Manure; Methanogenesis; Climate change; Greenhouse gas; Heat wave","score_opus":0.0071692982743391245,"score_gpt":0.2000451793200641,"score_spread":0.19287588104572498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117481123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99584085,0.00039415262,0.000025390716,0.0011110128,0.000419458,0.00019732013,0.000008788259,0.00020450065,0.0017985298],"genre_scores_gemma":[0.99718016,0.00004503272,0.00007831307,0.00009350339,0.000074547606,0.000023921413,0.00009741405,0.0000057991215,0.0024013193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993641,0.000051375366,0.00013433967,0.00021054858,0.00006742688,0.0001722549],"domain_scores_gemma":[0.99973834,0.00004964167,0.000012268752,0.000091688096,0.000037823134,0.0000702253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006085965,0.00014743609,0.00020500361,0.000044387813,0.00007578433,0.000018844941,0.00006516359,0.00010824558,0.000081346174],"category_scores_gemma":[0.0000273489,0.000079369056,0.000027979448,0.00021368686,0.00004618804,0.00008035167,0.00002967351,0.00014341975,0.000008428919],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009793133,0.0021675562,0.67298293,0.00007832175,0.00834076,0.00011781747,0.0040718154,0.008605853,0.08730062,0.061112553,0.14564125,0.008601207],"study_design_scores_gemma":[0.00077993365,0.00021203278,0.9942815,0.000016931996,0.00014778231,0.0000026718792,0.0005578011,0.00003766624,0.0003683534,0.00032307155,0.0031334788,0.00013879176],"about_ca_topic_score_codex":0.00011950047,"about_ca_topic_score_gemma":0.00039426622,"teacher_disagreement_score":0.32129857,"about_ca_system_score_codex":0.000022517965,"about_ca_system_score_gemma":0.0000060715506,"threshold_uncertainty_score":0.3236576},"labels":[],"label_agreement":null},{"id":"W746482231","doi":"10.1016/j.agrformet.2015.06.017","title":"Long-term responses of plant growth, soil microbial communities and soil enzyme activities to elevated CO2 and neighbouring plants","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Institute of Mountain Hazards and Environment; National Natural Science Foundation of China","keywords":"Soil enzyme; Environmental science; Term (time); Plant community; Ecology; Soil carbon; Soil water; Soil science; Biology; Enzyme assay; Enzyme; Ecological succession","score_opus":0.023394398893894892,"score_gpt":0.21271192587808577,"score_spread":0.18931752698419088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W746482231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754715,0.00079850183,4.611628e-7,0.0006541932,0.00008751918,0.00022270673,0.0005587453,0.00005829007,0.00007246001],"genre_scores_gemma":[0.99856246,0.00065916055,0.000022978233,0.0002294419,0.00009995001,0.000018226754,0.0002520159,0.000001993962,0.0001537757],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99846196,0.0003256762,0.00028896495,0.00028289252,0.00015355514,0.0004869281],"domain_scores_gemma":[0.99857914,0.000867202,0.00013512095,0.00005961729,0.00008163306,0.00027725933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022888706,0.00028315722,0.00044613573,0.000053881628,0.00022276994,0.000080901045,0.00019105824,0.00020141993,0.0000127813255],"category_scores_gemma":[0.00009650364,0.000110768,0.000039810402,0.00015172982,0.00032158452,0.00021441194,0.00029886633,0.0001956064,0.0000025591498],"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":[0.002223588,0.000056512225,0.15717635,0.000025628511,0.00007831311,0.00003219199,0.0012074556,0.00000602535,0.83670926,0.00030080398,0.00044909545,0.0017347843],"study_design_scores_gemma":[0.00060202734,0.0011649557,0.9522613,0.00005429986,0.000033630346,0.00099219,0.0015666266,0.000011827065,0.04224502,0.00017564694,0.0005708188,0.0003216062],"about_ca_topic_score_codex":0.0019401972,"about_ca_topic_score_gemma":0.014037928,"teacher_disagreement_score":0.795085,"about_ca_system_score_codex":0.000018599543,"about_ca_system_score_gemma":0.0000141957335,"threshold_uncertainty_score":0.78334934},"labels":[],"label_agreement":null}]}