{"meta":{"query_hash":"fd65cb8c141f","filters":{"venue":"Forest Service Research Data Archive"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"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/fd65cb8c141f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Forest+Service+Research+Data+Archive"},"results":[{"id":"W4205154661","doi":"10.2737/rds-2020-0038","title":"Effects of nutrient addition on leaf chemistry and metabolism of three bog shrubs growing in the Mer Bleue bog, a Canadian boreal peatland","year":2020,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Northern Research Station; Natural Sciences and Engineering Research Council of Canada; Howard Hughes Medical Institute; National Science Foundation","keywords":"Peat; Bog; Boreal; Nutrient; Environmental science; Ecology; Botany; Forestry; Biology; Geography","score_opus":0.02827385040703668,"score_gpt":0.2781461495959854,"score_spread":0.2498722991889487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205154661","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031113878,0.00011151917,0.000004386117,0.0010621102,0.000034157754,0.0008544259,0.9660343,0.0000040779832,0.0007811814],"genre_scores_gemma":[0.041444942,0.0008975935,0.00004692398,0.00035757272,0.00014739405,0.000116137184,0.9569671,0.00001799876,0.000004302759],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968373,0.0004262436,0.00036808656,0.0007689564,0.0008831041,0.00071628654],"domain_scores_gemma":[0.9970106,0.0012524915,0.00015039273,0.0012211963,0.000024272334,0.00034102926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011151062,0.0002798146,0.0004935867,0.0001636892,0.00020714448,0.000049568225,0.0022948997,0.00019640326,0.00016729734],"category_scores_gemma":[0.0003818686,0.00020478612,0.000047775637,0.0005553731,0.00044359028,0.00025137793,0.0017408842,0.0010931627,0.000049747283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020310668,0.00015930392,0.003045352,0.001012637,0.00006205641,0.00021591148,0.00031963477,0.000017878127,0.00028351674,0.00007046854,0.9943228,0.000287362],"study_design_scores_gemma":[0.0012053067,0.00029066615,0.23987934,0.00038016008,0.00009674866,0.000019726456,0.00016075997,0.0008226644,0.00015281024,0.0018055642,0.754912,0.00027423064],"about_ca_topic_score_codex":0.46595237,"about_ca_topic_score_gemma":0.8052488,"teacher_disagreement_score":0.3392964,"about_ca_system_score_codex":0.00009786793,"about_ca_system_score_gemma":0.000221561,"threshold_uncertainty_score":0.83509356},"labels":[],"label_agreement":null},{"id":"W4205398484","doi":"10.2737/rds-2018-0001-2","title":"Fledging times of grassland birds (2nd Edition)","year":2021,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"U.S. Forest Service","keywords":"Grassland; Geography; Resource (disambiguation); Service (business); Agriculture; Range (aeronautics); Research data; Fledge; Forestry; Library science; Ecology; Environmental resource management; Business; Computer science; Archaeology; Biology; Environmental science; Engineering; Marketing","score_opus":0.06826975304642674,"score_gpt":0.35664160390670585,"score_spread":0.2883718508602791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205398484","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002962479,0.00006768815,0.00002939153,0.00048851105,0.00023801759,0.00045311305,0.9950455,0.000017932738,0.00069739734],"genre_scores_gemma":[0.00034475714,0.0004070204,0.00058626983,0.00011572972,0.0003109209,0.00006530027,0.9978661,0.000029403705,0.0002745272],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958575,0.0006199215,0.0004230934,0.0010523906,0.0011896208,0.000857523],"domain_scores_gemma":[0.995711,0.0008173255,0.00018119728,0.002941699,0.00007273207,0.00027602623],"candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001406348,0.00029449383,0.00044493208,0.00024429295,0.00041467304,0.00007467951,0.003679209,0.0002871923,0.021521673],"category_scores_gemma":[0.0004049705,0.00026986268,0.00006676846,0.0008099742,0.0008455757,0.0005714422,0.008974876,0.0014593833,0.004073721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040917494,0.00028262383,0.01679122,0.00024825326,0.000045563917,0.00020261941,0.00003641088,0.000023118133,0.000070094524,0.0000073586893,0.9819242,0.00032764304],"study_design_scores_gemma":[0.00028731045,0.00013544473,0.07084031,0.00020517614,0.00007854622,0.00003147025,0.00011768339,0.000107901964,0.00004380032,0.0012330697,0.92664146,0.0002778374],"about_ca_topic_score_codex":0.004053031,"about_ca_topic_score_gemma":0.08375587,"teacher_disagreement_score":0.07970285,"about_ca_system_score_codex":0.00010873634,"about_ca_system_score_gemma":0.0002574669,"threshold_uncertainty_score":0.9999754},"labels":[],"label_agreement":null},{"id":"W4205630908","doi":"10.2737/rds-2020-0045","title":"Data for \"Riverine dissolved organic carbon and freshwater export in the eastern Gulf of Alaska\"","year":2020,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Soil and Water Nutrient 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":"Ministry of Forests; Vancouver Island University","funders":"Pacific Northwest Research Station","keywords":"Resource (disambiguation); Dissolved organic carbon; Agriculture; Marine research; Oceanography; Research data; Range (aeronautics); Environmental science; Service (business); Geography; Environmental resource management; Business; Geology; Engineering; Archaeology; Data science; Computer science; Data curation","score_opus":0.08602218165551634,"score_gpt":0.32508100571338644,"score_spread":0.2390588240578701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205630908","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04914542,0.00003063264,0.000038491504,0.0011402492,0.00006360964,0.0012144843,0.9483269,0.000008582856,0.000031615073],"genre_scores_gemma":[0.0034726192,0.000534449,0.00038374585,0.00019444486,0.00014502738,0.000080961036,0.995138,0.000035672383,0.000015080299],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960269,0.00035219622,0.00047833603,0.0012923194,0.0011204774,0.00072976976],"domain_scores_gemma":[0.9942487,0.00067315303,0.00015053312,0.004701586,0.000028429145,0.00019761483],"candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001637248,0.000320415,0.00042284717,0.00014004594,0.00013571445,0.00010978777,0.00858385,0.00013008367,0.00006423821],"category_scores_gemma":[0.00030062816,0.00022230063,0.00002830716,0.0005438403,0.00046103913,0.0004483303,0.019161114,0.000810618,0.0001197595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002511925,0.00017617355,0.05913688,0.0005928982,0.000045861816,0.00006859429,0.0005013173,0.000014839074,0.000028930497,0.000003177667,0.9390628,0.00011734579],"study_design_scores_gemma":[0.0008255239,0.00029145653,0.011056727,0.00016561676,0.00006337982,0.000012457562,0.00037581054,0.05648883,0.000004850182,0.0030117729,0.9273921,0.0003114482],"about_ca_topic_score_codex":0.014768037,"about_ca_topic_score_gemma":0.12652011,"teacher_disagreement_score":0.11175207,"about_ca_system_score_codex":0.000049359944,"about_ca_system_score_gemma":0.000079141726,"threshold_uncertainty_score":0.99678016},"labels":[],"label_agreement":null},{"id":"W4206377022","doi":"10.2737/rds-2021-0045","title":"Global peatland Fourier Transform Infrared Spectroscopy (FTIR) infrared values","year":2021,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Ontario Forest Research Institute; University of Saskatchewan; University of Alberta; Laurentian University","funders":"Northern Research Station; U.S. Department of Energy; National Science Foundation","keywords":"Fourier transform infrared spectroscopy; Infrared; Peat; Fourier transform; Infrared spectroscopy; Range (aeronautics); Resource (disambiguation); Fourier transform spectroscopy; Spectroscopy; Environmental science; Analytical Chemistry (journal); Remote sensing; Physics; Materials science; Computer science; Geography; Chemistry; Optics; Environmental chemistry; Astronomy","score_opus":0.04513707419433285,"score_gpt":0.34245599612975314,"score_spread":0.2973189219354203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206377022","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015723234,0.00021144892,0.00010054777,0.0011066984,0.00030430435,0.0010613976,0.9759658,0.000058510595,0.019618955],"genre_scores_gemma":[0.00003259928,0.0024992265,0.0025663557,0.00063131104,0.0006607158,0.00015751945,0.99224573,0.00005169153,0.0011548602],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99170905,0.0009105291,0.0007464188,0.0021786985,0.0022461752,0.002209121],"domain_scores_gemma":[0.9932364,0.0006935466,0.00019806194,0.004932091,0.00009582878,0.000844043],"candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0018499848,0.0007378613,0.0009170843,0.00025622736,0.00080835586,0.00051353185,0.0063761314,0.00055408763,0.007432562],"category_scores_gemma":[0.00049377413,0.0006520872,0.00016303493,0.0015698456,0.00075741654,0.00089774164,0.008647705,0.0018121107,0.0023368413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002793691,0.00030510797,0.0065498883,0.00026460024,0.00016856143,0.0006524791,0.00011645179,0.000045287536,0.00001875011,0.000016096303,0.9912529,0.00033048762],"study_design_scores_gemma":[0.0011118847,0.0004191536,0.02324423,0.00016662062,0.00010148344,0.00009788167,0.00013724453,0.0011565989,0.0000063089583,0.0177382,0.955153,0.00066739117],"about_ca_topic_score_codex":0.016033916,"about_ca_topic_score_gemma":0.20987481,"teacher_disagreement_score":0.19384089,"about_ca_system_score_codex":0.0005653109,"about_ca_system_score_gemma":0.00062431797,"threshold_uncertainty_score":0.999593},"labels":[],"label_agreement":null},{"id":"W4210701693","doi":"10.2737/rds-2021-0003","title":"Field and spatial data for: Understanding the role of fire refugia in promoting ecosystem resilience of dry forests in the western United States","year":2021,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Fire effects on ecosystems","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":"Canadian Forest Service","funders":"Rocky Mountain Research Station","keywords":"Resilience (materials science); Psychological resilience; Resource (disambiguation); Environmental resource management; Field (mathematics); Agriculture; Geography; Ecosystem; Research data; Range (aeronautics); Environmental science; Ecology; Data science; Computer science; Engineering; Data curation; Archaeology","score_opus":0.06311407981582394,"score_gpt":0.33542517573909647,"score_spread":0.2723110959232725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210701693","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.113541335,0.00018818724,0.0001603507,0.0006026852,0.000050006794,0.0023011244,0.8831338,0.000005065019,0.000017431143],"genre_scores_gemma":[0.28392184,0.00024114011,0.00007062531,0.000052247415,0.000049082795,0.00010290319,0.7155378,0.000022437842,0.0000019251445],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9940991,0.00206071,0.0007723068,0.0010585346,0.0012673115,0.00074206584],"domain_scores_gemma":[0.986171,0.008642903,0.00038976435,0.004662269,0.000041354626,0.000092693874],"candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0078105144,0.0002858163,0.0005049359,0.00027687586,0.00022806096,0.00014566486,0.007273205,0.00016557713,0.000019903113],"category_scores_gemma":[0.001778546,0.00019240778,0.000029137345,0.0012612729,0.00029412724,0.00056661933,0.009306139,0.0010732979,0.000007989636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012452962,0.0008803286,0.36380503,0.016608192,0.00020766848,0.0002658081,0.011318297,0.002557075,0.00021494554,0.00010596235,0.59745187,0.005339547],"study_design_scores_gemma":[0.0009941784,0.0007689235,0.029004144,0.005343532,0.000055612585,0.000023394216,0.009267514,0.7772324,0.00004274144,0.0025449083,0.1742684,0.000454268],"about_ca_topic_score_codex":0.16377869,"about_ca_topic_score_gemma":0.9033262,"teacher_disagreement_score":0.7746753,"about_ca_system_score_codex":0.00017057423,"about_ca_system_score_gemma":0.00015973409,"threshold_uncertainty_score":0.9987064},"labels":[],"label_agreement":null},{"id":"W4232900048","doi":"10.2737/rds-2021-0058","title":"Long-term ecosystem responses from the Coram woody biomass and residue utilization study","year":2021,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Rocky Mountain Research Station; National Institute of Food and Agriculture; University of Montana","keywords":"Biomass (ecology); Term (time); Ecosystem; Agriculture; Research data; Forestry; Resource (disambiguation); Environmental science; Environmental resource management; Business; Agroforestry; Geography; Computer science; World Wide Web; Ecology; Biology","score_opus":0.1293981627482625,"score_gpt":0.375964053200118,"score_spread":0.2465658904518555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232900048","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12705837,0.00026274074,0.000059540493,0.0008438237,0.00021925932,0.002356183,0.86911297,0.000029780767,0.00005732073],"genre_scores_gemma":[0.010790987,0.0009761394,0.000074474934,0.00027290228,0.0001896161,0.0002706373,0.9872412,0.000038026395,0.00014597912],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9921631,0.003381581,0.0005042191,0.0017426478,0.0013537352,0.0008547117],"domain_scores_gemma":[0.9918353,0.00272201,0.00021035981,0.004913519,0.000059815542,0.00025901673],"candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003396853,0.00041535276,0.00043876265,0.00019542688,0.0010783534,0.00047016173,0.0047481763,0.000222224,0.001536249],"category_scores_gemma":[0.0008319286,0.00031209484,0.000039704213,0.00088757114,0.0005163855,0.0005198387,0.019744959,0.0011020118,0.0015852134],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031828586,0.0004939537,0.073493876,0.00020334308,0.00022026134,0.0006071567,0.00031280925,0.000021232217,0.0000066357784,0.000026953801,0.92407596,0.00021953929],"study_design_scores_gemma":[0.0005001334,0.0002948541,0.5586845,0.00016688726,0.0001238027,0.000010799267,0.00090569246,0.0002951223,0.0000032182338,0.0005236319,0.43822655,0.00026477626],"about_ca_topic_score_codex":0.03298756,"about_ca_topic_score_gemma":0.8021296,"teacher_disagreement_score":0.7691421,"about_ca_system_score_codex":0.00016430054,"about_ca_system_score_gemma":0.00017248237,"threshold_uncertainty_score":0.9999331},"labels":[],"label_agreement":null},{"id":"W4240386948","doi":"10.2737/rds-2018-0001","title":"Fledging times of grassland birds","year":2017,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Avian ecology and behavior","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 Manitoba","funders":"U.S. Forest Service","keywords":"Grassland; Resource (disambiguation); Geography; Fledge; Research data; Service (business); Agriculture; Range (aeronautics); Forestry; Environmental resource management; Ecology; Agroforestry; Library science; Business; Computer science; Environmental science; Biology; Archaeology; Engineering; Marketing","score_opus":0.10072749608023136,"score_gpt":0.40096494237480745,"score_spread":0.3002374462945761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240386948","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044027055,0.000041153846,0.000008349349,0.00034929463,0.0001540745,0.0005515135,0.99316394,0.00001649566,0.001312492],"genre_scores_gemma":[0.0010501669,0.00028464946,0.00033083235,0.000051848012,0.00015949954,0.000049714312,0.99753815,0.000029385905,0.00050573325],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962538,0.0004286766,0.0003628193,0.0009925863,0.0010544437,0.0009076921],"domain_scores_gemma":[0.99382514,0.0005755688,0.00028822917,0.0049944255,0.000044760956,0.00027189896],"candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0018443456,0.00029962166,0.00045804674,0.00023301123,0.00072357716,0.00009909609,0.00790963,0.00029716553,0.006982656],"category_scores_gemma":[0.00050138787,0.00025873384,0.000060395512,0.0002708451,0.0013047196,0.00062652066,0.012846269,0.0014255228,0.009299824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006073621,0.00017905746,0.050502453,0.0001956788,0.000037319147,0.00011419868,0.00003823343,0.000009787254,0.000039293132,0.000004059406,0.94828796,0.0005312323],"study_design_scores_gemma":[0.00027379752,0.0001538765,0.13944423,0.00016036174,0.000065686785,0.000016066659,0.000035067922,0.00011265051,0.000013847325,0.0013756464,0.85809666,0.00025208652],"about_ca_topic_score_codex":0.007766193,"about_ca_topic_score_gemma":0.114513054,"teacher_disagreement_score":0.10674686,"about_ca_system_score_codex":0.000084141655,"about_ca_system_score_gemma":0.0001949721,"threshold_uncertainty_score":0.99998647},"labels":[],"label_agreement":null},{"id":"W4386222121","doi":"10.2737/rds-2023-0051","title":"Global ground-based data and estimates of forest carbon stock and sink from 1990-2020","year":2023,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"Northern Research Station","keywords":"Sink (geography); Carbon sink; Earth (classical element); Carbon cycle; Environmental science; Natural resource economics; Earth science; Economics; Geography; Geology; Climate change; Ecology; Biology; Mathematics; Cartography; Oceanography","score_opus":0.051376730417687505,"score_gpt":0.32159480045994543,"score_spread":0.27021807004225795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386222121","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06656971,0.00022275223,0.000364941,0.00033153844,0.00008249256,0.0007285822,0.93160856,0.000035859444,0.000055565608],"genre_scores_gemma":[0.0016044349,0.0013611892,0.010842148,0.00012292863,0.0001073971,0.00003566999,0.9858545,0.00005958383,0.000012158425],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949345,0.00020285095,0.000504814,0.0019653065,0.001485355,0.0009071746],"domain_scores_gemma":[0.9935982,0.0010206044,0.00022981955,0.0046508936,0.0000131976485,0.00048726788],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.00091937126,0.0005224419,0.00060185086,0.0000367391,0.00028870153,0.00016086586,0.005008359,0.00027007336,0.0000974844],"category_scores_gemma":[0.0002764453,0.00048904656,0.0000309167,0.00067759515,0.0015988215,0.0005445225,0.026223373,0.0007630482,0.00021696437],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025587925,0.00023213982,0.18338299,0.00057475304,0.0001609997,0.00018112565,0.00005873274,0.0052821906,0.000018062046,0.00000919914,0.80820024,0.0016436608],"study_design_scores_gemma":[0.0007367079,0.0002908857,0.38399094,0.00029578258,0.00017955262,0.000014066423,0.00023591451,0.4681066,4.4322223e-7,0.004353302,0.14122741,0.00056838896],"about_ca_topic_score_codex":0.33551556,"about_ca_topic_score_gemma":0.29711354,"teacher_disagreement_score":0.6669729,"about_ca_system_score_codex":0.0002167181,"about_ca_system_score_gemma":0.000112568,"threshold_uncertainty_score":0.9997561},"labels":[],"label_agreement":null},{"id":"W4390490754","doi":"10.2737/rds-2024-0009","title":"Ensemble model and input model rasters for soil organic carbon stock mean and uncertainties for Alaska, British Columbia, Washington, Oregon, California, and Hawai'i","year":2024,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Pacific Northwest Research Station","keywords":"Stock (firearms); Carbon stock; Environmental science; Soil carbon; Geography; Oceanography; Archaeology; Geology; Soil water; Soil science; Climate change","score_opus":0.043583558005779864,"score_gpt":0.28861310099034965,"score_spread":0.24502954298456978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390490754","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07937284,0.00041840776,0.0010912735,0.0008599883,0.00006303927,0.002556815,0.9155447,0.00003489689,0.000058041605],"genre_scores_gemma":[0.0049576424,0.0035964714,0.0021448338,0.0006069571,0.00018634033,0.00071720325,0.9863562,0.00013160844,0.0013027234],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958176,0.00012766026,0.00043101024,0.0017454983,0.0008053074,0.0010729153],"domain_scores_gemma":[0.9976328,0.0005093058,0.00011227004,0.0012365503,0.00005988693,0.00044919408],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0015362427,0.00039128854,0.00054322864,0.00015998185,0.00069157523,0.0015125585,0.0013762387,0.00021278617,0.000027324135],"category_scores_gemma":[0.00016039476,0.00046337015,0.00004854657,0.0002553645,0.0005657981,0.0004351857,0.006427775,0.000652751,0.000030454978],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009801441,0.000060054637,0.0006079555,0.0027302057,0.00012065891,0.000016688224,0.00038168643,0.0038307412,0.00002746425,0.000005335445,0.9899355,0.002185706],"study_design_scores_gemma":[0.0008479879,0.00022271919,0.00020025251,0.0004293201,0.00018222879,0.000017570455,0.0003985864,0.7454514,9.0289933e-7,0.011238053,0.24052599,0.00048498684],"about_ca_topic_score_codex":0.06859964,"about_ca_topic_score_gemma":0.79478204,"teacher_disagreement_score":0.7494095,"about_ca_system_score_codex":0.00012663993,"about_ca_system_score_gemma":0.00015071193,"threshold_uncertainty_score":0.9997818},"labels":[],"label_agreement":null},{"id":"W4390938235","doi":"10.2737/rds-2024-0012","title":"Data and replication code for analyzing the variation in urban tree canopy and air temperature reduction in New Haven, Connecticut, 2019 - 2021","year":2024,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Northern Research Station","keywords":"Replication (statistics); Canopy; Variation (astronomy); Haven; Code (set theory); Reduction (mathematics); Tree (set theory); Geography; Forestry; Computer science; Archaeology; Statistics; Mathematics; Programming language","score_opus":0.059662723130597665,"score_gpt":0.347863563251377,"score_spread":0.28820084012077934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390938235","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076255184,0.0006351917,0.000063123625,0.00642335,0.00010664921,0.0019440469,0.9831644,0.000010402887,0.000027287739],"genre_scores_gemma":[0.0021401634,0.0019467302,0.0005444252,0.00007595343,0.0003544122,0.00012322144,0.99462223,0.000028302145,0.00016456156],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964973,0.00045982262,0.00040699894,0.0016714759,0.00049606716,0.00046833363],"domain_scores_gemma":[0.9953879,0.0008328862,0.00011376586,0.0034893441,0.00003012483,0.00014595955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031933798,0.00023746281,0.0002523055,0.00033595233,0.00023283588,0.00027345936,0.0017094488,0.00020052688,0.00006100372],"category_scores_gemma":[0.0008852088,0.00019263217,0.000014215125,0.0009476953,0.0001704379,0.0010694455,0.0032122314,0.0010562288,0.0001013909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103489816,0.00003838202,0.0017551667,0.00020991573,0.000024145851,0.000007854043,0.0006206111,0.00006858379,0.0007731682,0.00005994144,0.99543244,0.0009062754],"study_design_scores_gemma":[0.00070827856,0.00013292082,0.06190867,0.00050853717,0.00009621015,0.000039915,0.00038395723,0.025160467,0.000020409154,0.0068293153,0.9038848,0.0003264792],"about_ca_topic_score_codex":0.039270625,"about_ca_topic_score_gemma":0.60193735,"teacher_disagreement_score":0.5626667,"about_ca_system_score_codex":0.0002493943,"about_ca_system_score_gemma":0.00031636667,"threshold_uncertainty_score":0.96712697},"labels":[],"label_agreement":null},{"id":"W4392189272","doi":"10.2737/rds-2024-0020","title":"North American models of habitat quality and migration potential under climate change","year":2024,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Climate Change, Adaptation, Migration","field":"Social 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":false,"ca_institutions":"Natural Resources Canada","funders":"Northern Research Station; Canadian Forest Service; Comisión Nacional para el Conocimiento y Uso de la Biodiversidad, Gobierno de México","keywords":"Climate change; Habitat; Geography; Quality (philosophy); Ecology; Physical geography; Environmental science; Biology","score_opus":0.4465681074490894,"score_gpt":0.46988480011057465,"score_spread":0.023316692661485228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392189272","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021202942,0.00030391268,0.00010887979,0.00533368,0.00018886871,0.0013482369,0.9713697,0.000050690087,0.0000931311],"genre_scores_gemma":[0.006157956,0.021556387,0.00034708012,0.00022683725,0.0007436611,0.00017140147,0.9707473,0.000039634808,0.00000974088],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935363,0.0017617362,0.0006359708,0.0010586876,0.002091038,0.00091628876],"domain_scores_gemma":[0.9960725,0.0010075772,0.00040232195,0.0015223052,0.0006702888,0.00032501842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003797792,0.00031202103,0.0005079437,0.00073878665,0.00074086373,0.00042741667,0.0017336657,0.00015719536,0.000042711803],"category_scores_gemma":[0.00041770845,0.00030931254,0.00006724994,0.0015445801,0.0011618817,0.0014916123,0.0021232066,0.00083622034,0.0002697194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021574271,0.00019402188,0.0013374991,0.0024591489,0.00012193489,0.00001883532,0.014885502,0.00014557234,0.000012394163,0.0043423353,0.9747774,0.0014896316],"study_design_scores_gemma":[0.00089668203,0.00075475406,0.11253207,0.001495168,0.0005412087,0.000007700149,0.06567137,0.04964703,0.0000026570374,0.061123457,0.70561767,0.001710261],"about_ca_topic_score_codex":0.31090513,"about_ca_topic_score_gemma":0.9890367,"teacher_disagreement_score":0.6781315,"about_ca_system_score_codex":0.00019012914,"about_ca_system_score_gemma":0.00057875185,"threshold_uncertainty_score":0.9999359},"labels":[],"label_agreement":null}]}