{"meta":{"query_hash":"29f416a34453","filters":{"venue":"Forest Science"},"cohort_total":195,"direct_labels_cover":2,"predictions_cover":195,"exported":195,"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/29f416a34453","api":"https://metacan.xera.ac/api/v1/cohort?venue=Forest+Science"},"results":[{"id":"W103647067","doi":"10.1093/forestscience/47.1.83","title":"Biophysical Site Indices for Shade Tolerant and Intolerant Boreal Species","year":2001,"lang":"en","type":"article","venue":"Forest Science","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":96,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Boreal; Taiga; Shade tolerance; Ecology; Environmental science; Biology; Geography; Canopy","score_opus":0.02136607445589381,"score_gpt":0.25479980794533647,"score_spread":0.23343373348944266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W103647067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993715,0.00017927735,0.00026128738,0.00091071415,0.0001802623,0.00018497919,0.000030476283,0.000025764592,0.00451228],"genre_scores_gemma":[0.9988242,0.000064972155,0.0005396923,0.00017295928,0.00009229511,0.0000036043164,0.000035082587,0.0000014873348,0.00026571992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986267,0.000027911423,0.00013672434,0.00037617414,0.0002626705,0.00056982634],"domain_scores_gemma":[0.9993084,0.00025433613,0.000040943218,0.00015034968,0.000055545857,0.00019041535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052851526,0.000108102526,0.00015896921,0.00015572866,0.0006104832,0.00009608818,0.00035316293,0.00006452134,0.00023039104],"category_scores_gemma":[0.000095255426,0.00007940272,0.000031807904,0.00044242773,0.0020051873,0.0003447492,0.000033858254,0.00013543142,0.0001359767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006362644,0.000011431916,0.99551105,0.000008933828,0.0000026989976,0.000020711916,0.0002725374,0.00031606402,0.00007746418,0.0029771202,0.000065507964,0.00067285466],"study_design_scores_gemma":[0.0002176,0.00020327316,0.95040554,0.00000900536,0.000004582882,0.000102515674,0.000072214105,0.043189667,0.00006398478,0.004024125,0.0015981842,0.000109304296],"about_ca_topic_score_codex":0.0003654699,"about_ca_topic_score_gemma":0.006893902,"teacher_disagreement_score":0.045105502,"about_ca_system_score_codex":0.0000011658401,"about_ca_system_score_gemma":0.00009106225,"threshold_uncertainty_score":0.73881966},"labels":[],"label_agreement":null},{"id":"W1037892","doi":"10.1093/forestscience/53.3.395","title":"Mountain Pine Beetle Dispersal: The Spatial–Temporal Interaction of Infestations","year":2007,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":51,"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; University of Victoria","funders":"Natural Resources Canada; U.S. Forest Service; Canadian Forest Service; Government of Canada","keywords":"Biological dispersal; Ecology; Mountain pine beetle; Geography; Environmental science; Forestry; Biology; Population","score_opus":0.009128157240511855,"score_gpt":0.2606958337284332,"score_spread":0.25156767648792133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1037892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95580757,0.000003816841,0.03404687,0.0002889364,0.00032320854,0.0001953702,0.0000017122808,0.000020982072,0.00931156],"genre_scores_gemma":[0.9990844,0.0000036333658,0.00049038255,0.0001637322,0.000021821737,0.0000066411917,0.0000029824064,0.000003786741,0.00022257946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991126,0.0000151739805,0.00017181433,0.00017752334,0.000286155,0.00023673875],"domain_scores_gemma":[0.9995457,0.000072492054,0.00009751344,0.00021845874,0.000013979674,0.000051862262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009799631,0.000064189764,0.000055921104,0.00006189838,0.0002853281,0.000017770839,0.00037208758,0.000020699345,0.00048721556],"category_scores_gemma":[0.000118252305,0.000044965465,0.000025092198,0.0005774752,0.0012308311,0.00042736868,0.00020833992,0.00007934736,0.00018808732],"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":[0.00005155681,0.0001817189,0.78744364,0.000007979786,0.000008243989,0.000009857858,0.001999123,0.06566923,0.009050172,0.12655124,0.0014318135,0.0075954515],"study_design_scores_gemma":[0.00010851396,0.00010754968,0.9746085,0.0000051455077,0.0000061108562,0.0000054981533,0.00027394367,0.014429032,0.00077908835,0.0036034817,0.0059990827,0.000074054275],"about_ca_topic_score_codex":0.007173274,"about_ca_topic_score_gemma":0.037331223,"teacher_disagreement_score":0.18716489,"about_ca_system_score_codex":0.00012710085,"about_ca_system_score_gemma":0.000020820158,"threshold_uncertainty_score":0.99943805},"labels":[],"label_agreement":null},{"id":"W1242166096","doi":"10.1093/forestscience/49.5.657","title":"The Influence of Forest and Stand Conditions on Spruce Budworm Defoliation in New Brunswick, Canada","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","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":true,"ca_institutions":"University of New Brunswick; Natural Resources Canada; Canadian Forest Service","funders":"U.S. Forest Service; Canadian Forest Service; Government of Canada","keywords":"Balsam; Spruce budworm; Abies balsamea; Choristoneura fumiferana; Black spruce; Forestry; Softwood; Yellow birch; Picea abies; Hardwood; Biology; Ecology; Taiga; Botany; Tortricidae; Geography; Lepidoptera genitalia","score_opus":0.0037851235490301872,"score_gpt":0.20096817696764016,"score_spread":0.19718305341860998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1242166096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975948,0.000031448748,0.00004420259,0.00016327013,0.000114626695,0.00026863976,0.0000035916673,0.000006127052,0.0017733494],"genre_scores_gemma":[0.9996266,0.000009301225,0.000060675422,0.00006662959,0.0000053582366,0.000004120738,4.3358565e-7,0.0000045428433,0.00022234846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868214,0.00003975211,0.0001968142,0.00025112962,0.00052575173,0.00030441675],"domain_scores_gemma":[0.99924433,0.00024646037,0.00010449134,0.00026001543,0.000014120815,0.00013059287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006591547,0.0000913164,0.00008955886,0.000041556625,0.00029031668,0.00004614197,0.00030501536,0.000023298091,0.000016655065],"category_scores_gemma":[0.00060610264,0.0000675357,0.000010259128,0.0006812782,0.0005724915,0.00034203808,0.0000538686,0.00008263287,0.000015613277],"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":[0.00000526618,0.00001277597,0.85091084,0.000004971595,7.8591415e-7,0.0000028214777,0.00010721406,0.1115298,0.0008244039,0.036124416,0.00034286742,0.00013386236],"study_design_scores_gemma":[0.00017608947,0.000064058026,0.99199194,0.000039453367,0.000001526877,0.0000061371775,0.00003808356,0.003392236,0.0004888364,0.0021621855,0.0015548782,0.00008459545],"about_ca_topic_score_codex":0.596761,"about_ca_topic_score_gemma":0.98394656,"teacher_disagreement_score":0.38718557,"about_ca_system_score_codex":0.0003741834,"about_ca_system_score_gemma":0.0011830508,"threshold_uncertainty_score":0.4059242},"labels":[],"label_agreement":null},{"id":"W12809040","doi":"10.1093/forestscience/55.3.238","title":"Improved Calibration of Nonlinear Mixed-Effects Models Demonstrated on a Height Growth Function","year":2009,"lang":"en","type":"article","venue":"Forest Science","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Weyerhauser (Canada)","funders":"Forest Resource Improvement Association of Alberta","keywords":"Calibration; Nonlinear system; Environmental science; Function (biology); Mathematics; Statistics; Biology; Physics","score_opus":0.005434841164960629,"score_gpt":0.1853174528599717,"score_spread":0.17988261169501107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W12809040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72768915,0.000033513348,0.27059078,0.000025641171,0.00036507318,0.00017011705,0.00000541318,0.000117871314,0.0010024661],"genre_scores_gemma":[0.9980058,0.000009714918,0.0018841412,0.000034368375,0.000032303116,0.0000042120164,0.00000931475,0.000007190643,0.000012921063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999295,0.0000060285374,0.00014139716,0.00016468839,0.00019907384,0.00019382001],"domain_scores_gemma":[0.99968594,0.000017369275,0.000024706094,0.00014876733,0.000056772333,0.00006646792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119423945,0.000097823584,0.00009241361,0.00012682028,0.000065296175,0.00003472678,0.00014478926,0.00004475685,0.000001843296],"category_scores_gemma":[0.000021620308,0.000085250525,0.000029887415,0.00048679276,0.00006618969,0.0003878001,0.000009079867,0.0000759524,0.000002341297],"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":[0.000012289793,0.000035390265,0.000060022954,0.000015892225,0.0000027525136,0.0000010566375,0.000024285224,0.8505173,0.051081616,0.09732546,0.000035954512,0.00088799954],"study_design_scores_gemma":[0.00016387245,0.00024969646,0.0018974621,0.000025650395,0.0000049830933,0.0000010424704,0.0000011952907,0.97681254,0.009619986,0.011131692,0.0000019796798,0.00008988625],"about_ca_topic_score_codex":0.000011779602,"about_ca_topic_score_gemma":0.000012058277,"teacher_disagreement_score":0.2703167,"about_ca_system_score_codex":0.0000343128,"about_ca_system_score_gemma":0.000030861374,"threshold_uncertainty_score":0.34764156},"labels":[],"label_agreement":null},{"id":"W138497222","doi":"10.1093/forestscience/48.2.417","title":"Evaluation of a Winter Habitat Suitability Index Model for Elk in West-Central Alberta","year":2002,"lang":"en","type":"article","venue":"Forest Science","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Alberta Conservation Association","funders":"Rocky Mountain Elk Foundation","keywords":"Habitat; Geography; Forestry; Index (typography); Environmental science; Physical geography; Ecology; Biology","score_opus":0.03336557621104867,"score_gpt":0.2631135144593716,"score_spread":0.2297479382483229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W138497222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857365,0.000010563393,0.006950223,0.00037220132,0.000076331155,0.00051518955,0.0000032620997,0.000005331366,0.0063304026],"genre_scores_gemma":[0.9991049,0.000001963635,0.00040845704,0.00007931146,0.000009071512,0.000051036095,8.940531e-7,0.0000036863867,0.00034067986],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832493,0.000026639116,0.00018713108,0.00031715815,0.00080704,0.00033712684],"domain_scores_gemma":[0.99957675,0.000040087984,0.000052478434,0.00023505143,0.000025435322,0.00007018622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016579082,0.00007704271,0.000088619134,0.000053537166,0.000074025935,0.000022194245,0.00034698,0.00002238058,0.00039444806],"category_scores_gemma":[0.0002761848,0.00006346154,0.000038206388,0.0003425958,0.0004148252,0.0003927343,0.00012658103,0.00003886229,0.000041111336],"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":[0.000005721586,0.00011037356,0.6019888,0.0000045125084,9.395523e-7,9.4578056e-8,0.0006670798,0.3933427,0.00012280447,0.00029426574,0.00046478063,0.0029979572],"study_design_scores_gemma":[0.00029648535,0.000025217243,0.37363678,0.000007095995,0.000005669985,1.8592446e-7,0.000018870196,0.62168837,0.000018895733,0.004202542,0.000049264934,0.000050586666],"about_ca_topic_score_codex":0.00044116168,"about_ca_topic_score_gemma":0.011247079,"teacher_disagreement_score":0.22835198,"about_ca_system_score_codex":0.00024182005,"about_ca_system_score_gemma":0.000020040094,"threshold_uncertainty_score":0.62761337},"labels":[],"label_agreement":null},{"id":"W1425394859","doi":"10.1093/forestscience/55.3.189","title":"A Balanced Repeated Replication Estimator of Sampling Variance for Apparent and Predicted Species Richness","year":2009,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Natural Resources Canada; Canadian Forest Service","funders":"Smithsonian Institution","keywords":"Species richness; Estimator; Statistics; Sampling (signal processing); Variance (accounting); Quadrat; Sampling design; Mathematics; Simple random sample; Replication (statistics); Sample (material); Sample size determination; Computer science; Ecology; Demography; Biology; Physics; Population","score_opus":0.015011356855439672,"score_gpt":0.25976741222298333,"score_spread":0.24475605536754366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1425394859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6860374,0.00001407376,0.31086558,0.00034888787,0.000109671855,0.00062369823,0.000011259084,0.000058393915,0.0019310007],"genre_scores_gemma":[0.984072,0.000008309892,0.015553937,0.00009066991,0.000011283257,0.000042949763,0.0000075625017,0.0000030785807,0.00021019093],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988945,0.000008149246,0.00019604569,0.0004487055,0.00020805204,0.000244549],"domain_scores_gemma":[0.99935156,0.000041149626,0.00013056138,0.00038226266,0.000025652109,0.00006879446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005390845,0.000083725696,0.000113893744,0.000048381942,0.0002565606,0.00002373106,0.0003096766,0.00003157968,0.0000373824],"category_scores_gemma":[0.000334389,0.000074152835,0.000018074124,0.00046297247,0.00063790084,0.000269905,0.00011051139,0.000036753056,0.0000056734766],"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":[0.00015063942,0.00026967278,0.25469658,0.000046881498,0.000009074238,0.0000020792065,0.00054326636,0.05497506,0.044760454,0.64033604,0.0013087109,0.0029015525],"study_design_scores_gemma":[0.0002480283,0.00016078741,0.9136452,0.000018327739,0.000008741117,0.0000028579761,0.000020643905,0.042030446,0.0013109625,0.041804306,0.0006594423,0.000090279005],"about_ca_topic_score_codex":0.000016341191,"about_ca_topic_score_gemma":0.000027894917,"teacher_disagreement_score":0.6589486,"about_ca_system_score_codex":0.00006795385,"about_ca_system_score_gemma":0.000017633038,"threshold_uncertainty_score":0.3023865},"labels":[],"label_agreement":null},{"id":"W145977984","doi":"10.1093/forestscience/48.1.24","title":"Examining Different Concepts for the Development of a Distance-Dependent Competition Model for Red Pine Diameter Growth Using Long-Term Stand Data Differing in Initial Stand Density","year":2002,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service","keywords":"Mathematics; Crown (dentistry); Stand development; Growth rate; Competition (biology); Statistics; Diameter at breast height; Canopy; Term (time); Data set; Ecology; Biology; Geometry; Physics","score_opus":0.10976514476234818,"score_gpt":0.3032841326274806,"score_spread":0.19351898786513244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W145977984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5103075,0.000015134376,0.48899695,0.000021136915,0.000087022294,0.00051303,0.000024618266,0.00000671963,0.000027875523],"genre_scores_gemma":[0.9903265,0.000013929101,0.00946422,0.000025958445,0.00001575703,0.000080457154,0.000013496438,0.00001005989,0.00004958723],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831325,0.000021882404,0.00035782988,0.00051243015,0.0003769416,0.0004176932],"domain_scores_gemma":[0.99918026,0.0001695298,0.00015667135,0.00040339437,0.00002370789,0.000066427136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077112287,0.00015261813,0.00019384082,0.00006418911,0.0004726741,0.000047262325,0.0007393298,0.000033929588,0.00004209495],"category_scores_gemma":[0.0001285951,0.000114214454,0.000024048484,0.00018590967,0.0007459685,0.00044897024,0.00074493425,0.00007304062,0.0000014404621],"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":[0.00058501173,0.0010226965,0.78349537,0.0004829756,0.00007071554,0.000015016104,0.0092351185,0.16874535,0.012514027,0.017038919,0.00015303596,0.006641744],"study_design_scores_gemma":[0.00077077956,0.00006958197,0.33998388,0.00006825388,0.000017457767,0.0000011937727,0.00007276836,0.6565935,0.00079945603,0.0014747456,0.00000813299,0.00014023074],"about_ca_topic_score_codex":0.00001538845,"about_ca_topic_score_gemma":0.00296363,"teacher_disagreement_score":0.4878482,"about_ca_system_score_codex":0.00034088054,"about_ca_system_score_gemma":0.00003130801,"threshold_uncertainty_score":0.46575302},"labels":[],"label_agreement":null},{"id":"W149728423","doi":"10.1093/forestscience/50.3.356","title":"Crown Cover Is Correlated with Relative Density, Tree Slenderness, and Tree Height in Lodgepole Pine","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crown (dentistry); Pinus contorta; Tree (set theory); Forestry; Cover (algebra); Mathematics; Environmental science; Geography; Engineering","score_opus":0.005309256647346868,"score_gpt":0.19716663461638265,"score_spread":0.1918573779690358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W149728423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9690661,0.000027675227,0.007886732,0.0010490072,0.000107187356,0.0003002348,0.0000016727118,0.000032830696,0.021528596],"genre_scores_gemma":[0.9967745,0.000018157296,0.0007896954,0.0004747046,0.000006392061,0.000012659288,0.000001812429,0.0000075050552,0.0019146018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985274,0.000015784086,0.00015554095,0.0005248067,0.0003605825,0.0004158919],"domain_scores_gemma":[0.9995197,0.000024040533,0.00007379939,0.00025113596,0.000011022187,0.000120307726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025635058,0.00014986296,0.00013849202,0.00009545034,0.00028656353,0.00004168217,0.00031708885,0.00006388966,0.00032391847],"category_scores_gemma":[0.00003794426,0.00011609215,0.00001724155,0.0008236032,0.0021721236,0.00082672265,0.00039212068,0.0001598454,0.0004684096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016865061,0.00032979375,0.7339622,0.0000097932925,0.000015697435,0.00025605442,0.0025266737,0.05063907,0.00039517615,0.20948592,0.001463431,0.000747544],"study_design_scores_gemma":[0.0011037956,0.00024090294,0.9394061,0.000026344294,0.000010954564,0.000029083032,0.000051489238,0.0028251195,0.00045511464,0.055137925,0.0005238336,0.00018935931],"about_ca_topic_score_codex":0.0008171782,"about_ca_topic_score_gemma":0.014102262,"teacher_disagreement_score":0.20544387,"about_ca_system_score_codex":0.00026649612,"about_ca_system_score_gemma":0.000051834428,"threshold_uncertainty_score":0.800328},"labels":[],"label_agreement":null},{"id":"W1513938535","doi":"10.1093/forestscience/47.3.338","title":"Effects of Gypsy Moth on Radial Growth of Deciduous Trees","year":2001,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":67,"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":"National Energy Research Scientific Computing Center","keywords":"Lymantria dispar; Gypsy moth; Deciduous; Fraxinus; Biology; Larva; Maple; Ecology; Sugar; Host (biology); Fagaceae; Aceraceae; PEST analysis; Botany","score_opus":0.004328282588321653,"score_gpt":0.20409012409990854,"score_spread":0.19976184151158688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513938535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98580265,0.00001072575,0.0006909927,0.00003796555,0.00022505611,0.00021919822,9.678854e-7,0.000016118332,0.012996344],"genre_scores_gemma":[0.99915254,0.000021239583,0.00040974072,0.00012105527,0.000014534335,0.0000116626925,4.3623507e-7,0.000004682984,0.00026408644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884534,0.000022203141,0.00016270718,0.00026792445,0.00040984605,0.00029200967],"domain_scores_gemma":[0.9994751,0.00011068173,0.000099115634,0.00022339362,0.000010089097,0.00008156891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000330211,0.00009369557,0.00013161542,0.00010362734,0.000118539516,0.0000070952606,0.00056602986,0.000035548102,0.00025159062],"category_scores_gemma":[0.0001989449,0.00007697005,0.000042566047,0.00071972865,0.0014668063,0.00019719853,0.00018569115,0.00005632611,0.00014542679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025259628,0.0011030093,0.74923766,0.00005949566,0.000018246252,0.00009223174,0.0009391229,0.03332967,0.06763495,0.13881697,0.0027892734,0.0057267523],"study_design_scores_gemma":[0.00035791832,0.0005872146,0.97201324,0.000017284769,0.000009067412,0.0000057159177,0.000009568858,0.0011884659,0.016525896,0.009004739,0.00018839614,0.00009252653],"about_ca_topic_score_codex":0.00039336033,"about_ca_topic_score_gemma":0.0005294146,"teacher_disagreement_score":0.22277553,"about_ca_system_score_codex":0.00007014728,"about_ca_system_score_gemma":0.000018626259,"threshold_uncertainty_score":0.5404509},"labels":[],"label_agreement":null},{"id":"W1536979809","doi":"10.1093/forestscience/54.5.481","title":"Simulating Light Availability under Different Hybrid Poplar Clones in a Mixed Intensive Plantation System","year":2008,"lang":"en","type":"article","venue":"Forest Science","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Silviculture; Agroforestry; Crown (dentistry); Hardwood; Thinning; Hybrid; Short rotation forestry; Stand development; Wood production; Allometry; Biology; Environmental science; Woody plant; Ecology; Forestry; Forest management; Agronomy; Geography; Coppicing","score_opus":0.02765048904685073,"score_gpt":0.21793590679166297,"score_spread":0.19028541774481225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536979809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998738,0.00003134014,0.00006376979,0.00024004845,0.00037280496,0.00028690285,0.000012554893,0.0000754131,0.00017918534],"genre_scores_gemma":[0.9996847,0.0000021955516,0.000014896738,0.00005046993,0.00012975742,0.00001640691,0.000017972952,8.104387e-7,0.000082783314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982709,0.00009113936,0.0003416816,0.00045427534,0.00042856074,0.00041339346],"domain_scores_gemma":[0.9993094,0.00017577493,0.00013322754,0.00008817573,0.00015854383,0.00013487016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040034944,0.0001567009,0.00022334115,0.000030836698,0.0005683031,0.0000565612,0.00035571752,0.000051595332,0.000018390307],"category_scores_gemma":[0.00015339491,0.000059326117,0.000056289075,0.00055275986,0.00028110578,0.00034847375,0.00010235469,0.00012181886,0.000049118324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074437776,0.00009468275,0.8799998,0.00003488542,0.0000036552972,0.00008963333,0.00053467904,0.0044481126,0.11027009,0.0038001095,0.00013802925,0.0005118754],"study_design_scores_gemma":[0.00013644798,0.00014246575,0.98253417,0.00009648098,0.0000026637442,0.000112690264,0.0016467912,0.011677918,0.0029781836,0.00041409882,0.00006834646,0.00018975999],"about_ca_topic_score_codex":0.00079783495,"about_ca_topic_score_gemma":0.0014849346,"teacher_disagreement_score":0.10729191,"about_ca_system_score_codex":0.00015283725,"about_ca_system_score_gemma":0.000027455642,"threshold_uncertainty_score":0.43709856},"labels":[],"label_agreement":null},{"id":"W1558014372","doi":"10.1093/forestscience/55.3.256","title":"Legacy of Insect Defoliators: Increased Wind-Related Mortality Two Decades After a Spruce Budworm Outbreak","year":2009,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Spruce budworm; Outbreak; Lepidoptera genitalia; Biology; Insect; Ecology; Geography; Tortricidae; Virology","score_opus":0.00918343226961032,"score_gpt":0.24866804786347185,"score_spread":0.23948461559386153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558014372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870561,0.00002816072,0.0001828411,0.00008012221,0.00019664381,0.00034620098,0.00000433518,0.00006882755,0.012036805],"genre_scores_gemma":[0.99882305,0.000005190146,0.0004946715,0.00050319196,0.00002001928,0.000015422767,0.0000031266447,0.000008017855,0.00012729538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977145,0.000053629352,0.00040464674,0.00057552726,0.000644549,0.000607121],"domain_scores_gemma":[0.9989468,0.000041355503,0.00018269914,0.0005852551,0.000023759583,0.00022012273],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010308386,0.00021230758,0.0002288891,0.00015639367,0.0002615728,0.00007560741,0.00083771884,0.00008209985,0.0009863143],"category_scores_gemma":[0.00016041695,0.00018287895,0.00009199279,0.0013804581,0.0017016951,0.0014275527,0.00033450808,0.00017398881,0.00037884986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010929487,0.00051970215,0.9424599,0.000012452991,0.000022691947,0.000073850286,0.00097067805,0.016490767,0.0082558645,0.029515147,0.00031852914,0.0012511145],"study_design_scores_gemma":[0.0004730979,0.00022566898,0.9739892,0.00002189683,0.000027298576,0.000013437284,0.000043740427,0.0019982704,0.0012683596,0.021535892,0.00018442355,0.00021871137],"about_ca_topic_score_codex":0.0028087345,"about_ca_topic_score_gemma":0.0029656023,"teacher_disagreement_score":0.031529296,"about_ca_system_score_codex":0.00021799162,"about_ca_system_score_gemma":0.00007688523,"threshold_uncertainty_score":0.9999269},"labels":[],"label_agreement":null},{"id":"W1568918023","doi":"10.1093/forestscience/55.3.210","title":"Early Growth Responses of Lodgepole Pine and Douglas-Fir to Soil Compaction, Organic Matter Removal, and Rehabilitation Treatments in Southeastern British Columbia","year":2009,"lang":"en","type":"article","venue":"Forest Science","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Canadian Forest Service","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; University of Alberta","keywords":"Douglas fir; Environmental science; Soil compaction; Organic matter; Forestry; Compaction; Agroforestry; Ecology; Geography; Soil water; Biology; Soil science; Geology; Geotechnical engineering","score_opus":0.006119813452880139,"score_gpt":0.21588671212668184,"score_spread":0.2097668986738017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568918023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986429,0.0000363593,0.000043298933,0.0005176781,0.0000520581,0.00018032522,0.000005708079,0.000011842893,0.0005097799],"genre_scores_gemma":[0.99871397,0.00000949198,0.0006264098,0.00013533271,0.000008436443,0.000004073846,4.7219817e-7,0.000004226865,0.00049758767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989607,0.00003469749,0.00017980077,0.00032119532,0.00027384848,0.00022978397],"domain_scores_gemma":[0.9996291,0.000074365475,0.00004708209,0.00011910656,0.000020931859,0.00010945995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035384597,0.00007290272,0.00013740419,0.00005545523,0.00021281205,0.00012289027,0.00012006146,0.00002234353,0.000063024025],"category_scores_gemma":[0.00020762417,0.00008657324,0.00001345941,0.00046477336,0.00060903706,0.00029219227,0.000088543515,0.00003968197,0.000031679207],"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":[0.000031746193,0.00004908307,0.99381715,0.0000039297356,0.0000011597192,0.000003239336,0.001263167,0.000023452214,0.0041222917,0.000007737697,0.00020065991,0.00047637455],"study_design_scores_gemma":[0.00031428837,0.00036617508,0.9969702,0.0000408018,0.000003687252,0.000019305522,0.00018200064,0.000084609725,0.000059043825,0.0018439217,0.000025905005,0.0000900685],"about_ca_topic_score_codex":0.03537533,"about_ca_topic_score_gemma":0.043400105,"teacher_disagreement_score":0.008024774,"about_ca_system_score_codex":0.00005746306,"about_ca_system_score_gemma":0.000012156431,"threshold_uncertainty_score":0.97405535},"labels":[],"label_agreement":null},{"id":"W1576418930","doi":"10.1093/forestscience/46.2.188","title":"A Model and Tabu Search Method to Optimize Stand Harvest and Road Construction Schedules","year":2000,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":95,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tabu search; Computer science; Operations research; Transport engineering; Agricultural engineering; Engineering; Mathematics; Mathematical optimization","score_opus":0.01713439235663992,"score_gpt":0.26536820436967135,"score_spread":0.24823381201303144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576418930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62162316,0.00008627427,0.3751465,0.000079297235,0.00003806397,0.00015172963,0.0000056613635,0.00008234217,0.0027869474],"genre_scores_gemma":[0.7827922,0.0001093966,0.21673131,0.00003815311,0.000008400122,0.000009070785,9.68638e-7,0.0000073106794,0.00030316133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929625,0.00000821944,0.00009183448,0.00021197123,0.00018722603,0.00020447174],"domain_scores_gemma":[0.9996832,0.000007807856,0.0000061132355,0.00011992092,0.000028793727,0.0001541674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029814724,0.00008042136,0.00007381105,0.00013864727,0.00013773218,0.00016042031,0.00010213637,0.000022264478,0.000039400424],"category_scores_gemma":[0.000011937175,0.000075465105,0.000007679431,0.00037215103,0.00025366142,0.0003257811,0.00005134349,0.000040785606,0.000011478389],"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":[0.000006689198,0.000004529185,0.0008829775,0.00002392674,0.0000029478822,9.1081785e-7,0.00017128457,0.9175097,0.0010773211,0.0499207,0.000058612462,0.030340439],"study_design_scores_gemma":[0.00016594447,0.00002050236,0.009521572,0.000017593133,0.0000035486744,0.0000070025962,0.000078106954,0.98781794,0.00039415027,0.0009925832,0.0008814142,0.000099649886],"about_ca_topic_score_codex":0.000021066387,"about_ca_topic_score_gemma":0.00005371767,"teacher_disagreement_score":0.16116905,"about_ca_system_score_codex":0.000028346938,"about_ca_system_score_gemma":0.00002289153,"threshold_uncertainty_score":0.30773777},"labels":[],"label_agreement":null},{"id":"W158149931","doi":"10.1093/forestscience/48.4.712","title":"Economic Analysis of the Canada–United States Softwood Lumber Dispute: Playing the Quota Game","year":2002,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Softwood; Economic analysis; Agricultural economics; Business; Economics; Forestry; Pulp and paper industry; Geography; Engineering","score_opus":0.007878832669719091,"score_gpt":0.202231732723776,"score_spread":0.19435290005405692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W158149931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906053,0.0000102203285,0.000029570037,0.0014765867,0.00014632438,0.00012513004,0.000022411345,0.000010262562,0.007574187],"genre_scores_gemma":[0.9966322,0.000015152507,0.000026651085,0.00060767663,0.000016628786,0.0000062528948,0.000004198673,0.000004952877,0.002686282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998727,0.000029159482,0.00018639493,0.0002507589,0.00044448362,0.00036216684],"domain_scores_gemma":[0.9991544,0.00007944001,0.00012793033,0.00055643206,0.000006531825,0.000075247954],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032036137,0.00010367082,0.0001118807,0.00009959559,0.00045010907,0.00006925447,0.0012779572,0.000015364361,0.0025737672],"category_scores_gemma":[0.000047151516,0.00005949623,0.00007196322,0.0022996876,0.00115851,0.00022715787,0.00047437267,0.00007831872,0.00016905247],"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":[0.0000010501195,0.000012215225,0.41716963,0.0000014258829,0.000028888562,6.22973e-7,0.0005709054,0.56355304,0.000023653005,0.0023504298,0.016040584,0.000247534],"study_design_scores_gemma":[0.0000493078,0.0000070343817,0.35492054,0.0000027291387,0.000067593166,5.4131726e-7,0.000033288474,0.63013524,0.000014583211,0.000206197,0.0144807,0.0000822652],"about_ca_topic_score_codex":0.57185113,"about_ca_topic_score_gemma":0.7910063,"teacher_disagreement_score":0.21915519,"about_ca_system_score_codex":0.0002351843,"about_ca_system_score_gemma":0.00003456486,"threshold_uncertainty_score":0.99833804},"labels":[],"label_agreement":null},{"id":"W1729723722","doi":"10.1093/forestscience/55.1.23","title":"A Review of Forest Succession Models and Their Suitability for Forest Management Planning","year":2009,"lang":"en","type":"review","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":80,"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":"Ecological succession; Forest management; Forest restoration; Agroforestry; Forestry; Forest ecology; Environmental science; Geography; Environmental resource management; Ecology; Biology; Ecosystem","score_opus":0.056658285543630484,"score_gpt":0.3446879702820562,"score_spread":0.2880296847384257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1729723722","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002480259,0.9863393,0.0016916982,0.000061603736,0.0001426781,0.0035940607,0.00004865082,0.000051528375,0.007822476],"genre_scores_gemma":[0.0015333111,0.99579173,0.0013856074,0.00022640708,0.000054544165,0.0003090906,0.00006672528,0.000035355628,0.0005972073],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964739,0.000071543545,0.0009215415,0.0010953823,0.0006014218,0.00083621754],"domain_scores_gemma":[0.99787575,0.00018954164,0.00065397774,0.0009949241,0.00003389735,0.00025193713],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022410362,0.00059326546,0.0013143341,0.0002825397,0.00040001038,0.00010042175,0.0017066204,0.00013631108,0.00009392661],"category_scores_gemma":[0.0001311913,0.00040528836,0.0003787448,0.0014083731,0.0012277492,0.00083630404,0.0011724617,0.000200135,0.000051502306],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001552846,0.00015225161,0.0016470923,0.119712465,0.00003858078,0.0000053316767,0.00016098072,0.009026029,2.568893e-7,0.020281138,0.010712948,0.8382474],"study_design_scores_gemma":[0.00020813032,0.00018969708,0.00064462394,0.07170355,0.00027928047,0.000010751614,0.000010054631,0.010781551,1.3713431e-7,0.016956147,0.89861,0.0006060581],"about_ca_topic_score_codex":0.000118284355,"about_ca_topic_score_gemma":0.00011989317,"teacher_disagreement_score":0.8878971,"about_ca_system_score_codex":0.00024731376,"about_ca_system_score_gemma":0.00007677204,"threshold_uncertainty_score":0.9998399},"labels":[],"label_agreement":null},{"id":"W1895266861","doi":"10.1093/forestscience/55.3.268","title":"Modeling Stand Density Effects on Taper for Jack Pine and Black Spruce Plantations Using Dimensional Analysis","year":2009,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry","funders":"Ministry of Natural Resources","keywords":"Black spruce; Jack pine; Forestry; Environmental science; Woody plant; Silviculture; Mathematics; Pinus <genus>; Geography; Ecology; Botany; Taiga; Biology","score_opus":0.011468048673443126,"score_gpt":0.2525412592616767,"score_spread":0.24107321058823358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1895266861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8647442,0.000007085754,0.13454445,0.00017479181,0.00005471465,0.00024581494,0.000003421687,0.000014763628,0.00021075486],"genre_scores_gemma":[0.9931526,0.000004116536,0.0062510623,0.00048627463,0.000015075933,0.0000045420675,0.000004099155,0.0000028995337,0.00007932971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892837,0.000013887635,0.00011546159,0.00038962846,0.00026600857,0.00028663877],"domain_scores_gemma":[0.9996148,0.00006639422,0.000037424164,0.0001650442,0.000014507181,0.000101852376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038345007,0.00009991952,0.000121196805,0.00009829017,0.0005300705,0.000040703286,0.00015459252,0.000030834402,0.000031351017],"category_scores_gemma":[0.0000716295,0.0000855177,0.000038881266,0.00057120924,0.00036921498,0.00027111635,0.00009575747,0.00005219457,0.000025192032],"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":[0.000028539844,0.000036912577,0.007655239,0.0000040090836,0.000011239627,0.0000037074353,0.00008488535,0.96837145,0.0016546467,0.021967214,0.00008689479,0.00009525863],"study_design_scores_gemma":[0.00020979553,0.00014192119,0.15462764,0.000008256079,0.000082802624,0.0000017110613,0.000011047566,0.82103026,0.00027679652,0.023490915,0.000017479902,0.000101392325],"about_ca_topic_score_codex":0.00006846834,"about_ca_topic_score_gemma":0.00038697192,"teacher_disagreement_score":0.1473412,"about_ca_system_score_codex":0.00010407745,"about_ca_system_score_gemma":0.000017385104,"threshold_uncertainty_score":0.40769276},"labels":[],"label_agreement":null},{"id":"W1998439622","doi":"10.5849/forsci.11-157","title":"Deadwood Density of Five Boreal Tree Species in Relation to Field-Assigned Decay Class","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Buckland & Taylor (Canada); Lakehead University","funders":"","keywords":"Abies balsamea; Snag; Black spruce; Taiga; Balsam; Coarse woody debris; Environmental science; Forestry; Biomass (ecology); Boreal; Woody plant; Ecology; Botany; Biology; Geography; Habitat","score_opus":0.015343094999765392,"score_gpt":0.20351964626914915,"score_spread":0.18817655126938376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998439622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933997,0.0000061608926,0.000010646509,0.0027807998,0.00009652461,0.00020143845,0.000005523342,0.000015103972,0.003484125],"genre_scores_gemma":[0.99931103,0.0000048091892,0.00015414496,0.00021327862,0.000026686334,0.0000066131715,0.0000039306537,1.7508476e-7,0.00027935786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914277,0.000022933604,0.00014006255,0.0002360536,0.00020041301,0.00025777024],"domain_scores_gemma":[0.9995082,0.00018894677,0.000058321937,0.000050875693,0.00012101369,0.000072626404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002316878,0.000076067845,0.00012575756,0.00003964653,0.0002628189,0.000026419497,0.00033385365,0.00006524439,0.00010482069],"category_scores_gemma":[0.00020237055,0.000031672982,0.000034369914,0.0007025451,0.0003199776,0.00026052466,0.00019066574,0.00006704528,0.00009933518],"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":[0.000021158128,0.000048419293,0.9747888,0.0000016846941,0.0000021590317,0.0000021357555,0.00030120727,0.00005447855,0.017188452,0.0042421957,0.0015170203,0.001832328],"study_design_scores_gemma":[0.00007066151,0.0003160771,0.99310726,0.000009049435,0.000002380431,8.7521477e-7,0.00045530382,0.00013059149,0.00383698,0.001834255,0.00015853334,0.000078035875],"about_ca_topic_score_codex":0.0022239988,"about_ca_topic_score_gemma":0.02502902,"teacher_disagreement_score":0.022805022,"about_ca_system_score_codex":0.000037210033,"about_ca_system_score_gemma":0.000014732152,"threshold_uncertainty_score":0.9927617},"labels":[],"label_agreement":null},{"id":"W2020161123","doi":"10.5849/forsci.11-074","title":"Prediction of Wood Fiber Attributes from LiDAR-Derived Forest Canopy Indicators","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":33,"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; University of British Columbia; Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service; Natural Resources Canada; U.S. Department of Agriculture","keywords":"Canopy; Lidar; Environmental science; Fiber; Coarse woody debris; Principal component analysis; Materials science; Mathematics; Remote sensing; Composite material; Geology; Ecology; Statistics","score_opus":0.011728234351819978,"score_gpt":0.2084871832850648,"score_spread":0.19675894893324483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020161123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99185574,0.000009755503,0.0017072423,0.0002625935,0.00009757136,0.00027379717,0.000038032624,0.000053150598,0.0057021393],"genre_scores_gemma":[0.995762,0.0000041571507,0.0037791708,0.000049171373,0.000037978403,0.000011309784,0.000020796342,0.000008696345,0.00032673578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985321,0.000017933846,0.00022697083,0.0003920795,0.0005161021,0.00031480755],"domain_scores_gemma":[0.9991515,0.000060214563,0.0001347019,0.00044574484,0.000026503672,0.00018128546],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019366192,0.00011200561,0.00011708311,0.00008788342,0.00028723117,0.00006454274,0.0004803437,0.000056204033,0.0010689732],"category_scores_gemma":[0.00009493255,0.00009515568,0.00003989578,0.000973122,0.0012353013,0.00043838043,0.000185446,0.00009570167,0.0012499803],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057219263,0.000138884,0.7400699,0.00000436963,0.000009958011,9.093101e-7,0.000942815,0.008357403,0.23280506,0.0006422386,0.0054630577,0.011559657],"study_design_scores_gemma":[0.00012858285,0.000046355304,0.96803755,0.000014101834,0.000008097341,0.000001950138,0.00006343166,0.0069407024,0.018283734,0.0037373507,0.002633232,0.000104888546],"about_ca_topic_score_codex":0.005364479,"about_ca_topic_score_gemma":0.00032446245,"teacher_disagreement_score":0.22796765,"about_ca_system_score_codex":0.0001127127,"about_ca_system_score_gemma":0.00005161645,"threshold_uncertainty_score":0.9998442},"labels":[],"label_agreement":null},{"id":"W2064146260","doi":"10.5849/forsci.13-088","title":"Contrasting Effects of Wildfire and Ecological Restoration in Old-Growth Western Larch Forests","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Parks and Wilderness Society","funders":"University of Montana","keywords":"Larch; Coarse woody debris; Restoration ecology; Forest restoration; Thinning; Environmental science; Ecology; Disturbance (geology); Agroforestry; Regeneration (biology); Natural regeneration; Fire regime; Forestry; Geography; Habitat; Forest ecology; Ecosystem; Biology","score_opus":0.009515129416192513,"score_gpt":0.20401139380013575,"score_spread":0.19449626438394324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064146260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99895895,0.000032584885,0.0000108528175,0.0006129648,0.000092564835,0.00016634753,0.000002053371,0.00001811111,0.00010557846],"genre_scores_gemma":[0.999721,0.000013141055,0.00005785003,0.0001433609,0.000035127166,0.000006347483,0.0000025956317,2.485501e-7,0.00002036053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908495,0.000058749367,0.00013779858,0.0002687161,0.00017597219,0.00027383916],"domain_scores_gemma":[0.99923307,0.0005340173,0.00007395387,0.00003446365,0.00006292079,0.00006155808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005832083,0.00008491522,0.00015717889,0.00003129891,0.00032428355,0.000027353846,0.0002357654,0.00007051166,0.0000032619769],"category_scores_gemma":[0.0010202992,0.000035085814,0.000021097876,0.00040256814,0.0008177028,0.00021121257,0.0001752593,0.0000853647,0.0000060271964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001367628,0.000047503083,0.99114347,0.000010839146,0.000001258041,0.0000031850946,0.00009689004,0.000009519786,0.004538776,0.0030394066,0.000018290604,0.0010771678],"study_design_scores_gemma":[0.00018371659,0.00056784536,0.99492604,0.000029932959,0.0000036469487,0.0000028470295,0.000049874623,0.0005575248,0.0004643994,0.003098186,0.000037121557,0.00007889574],"about_ca_topic_score_codex":0.00023218185,"about_ca_topic_score_gemma":0.008945112,"teacher_disagreement_score":0.008712931,"about_ca_system_score_codex":0.00002004488,"about_ca_system_score_gemma":0.000008523921,"threshold_uncertainty_score":0.49915826},"labels":[],"label_agreement":null},{"id":"W2080874411","doi":"10.5849/forsci.12-156","title":"A Functional Framework for Improved Management of Western North American Aspen (Populus tremuloides Michx.)","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":67,"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; University of Alberta","funders":"","keywords":"Seral community; Ecology; Disturbance (geology); Geography; Ecological succession; Environmental science; Biology","score_opus":0.020018890877296885,"score_gpt":0.2227995428394918,"score_spread":0.2027806519621949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080874411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972431,0.000010739093,0.001088874,0.0010581898,0.00016024907,0.00023589855,0.000039254646,0.00002785906,0.00013585114],"genre_scores_gemma":[0.9965317,0.000011921607,0.002953964,0.00023671625,0.00007767989,0.00001827336,0.00001721132,4.1974172e-7,0.0001520888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905646,0.000014398234,0.00013713975,0.0003150585,0.00016787453,0.00030906757],"domain_scores_gemma":[0.9994694,0.00016765388,0.00013024402,0.00006700573,0.000096018775,0.00006965322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026684755,0.000100269535,0.00015979013,0.000020124875,0.00050250546,0.000028512131,0.00041747064,0.00002243423,0.000020666846],"category_scores_gemma":[0.000074066884,0.000041490588,0.00006716719,0.0005494566,0.0009313014,0.000119079545,0.00019573649,0.000053320793,0.000023193747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000977526,0.00009007187,0.9625218,0.000012828432,0.000024187126,4.916445e-7,0.000048836762,0.00006735341,0.0008530357,0.013985015,0.00027432287,0.022024302],"study_design_scores_gemma":[0.0001020359,0.0004893974,0.991857,0.000010252231,0.000016992486,8.1585114e-7,0.00016772217,0.00032279664,0.00012598491,0.005036246,0.0017645317,0.000106259584],"about_ca_topic_score_codex":0.0002221463,"about_ca_topic_score_gemma":0.0069949166,"teacher_disagreement_score":0.029335162,"about_ca_system_score_codex":0.000020949756,"about_ca_system_score_gemma":0.000006278794,"threshold_uncertainty_score":0.3903328},"labels":[],"label_agreement":null},{"id":"W2096843893","doi":"10.1093/forestscience/52.4.451","title":"Transaction Evidence Appraisal: Competition in British Columbia's Stumpage Markets","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":27,"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 Victoria","funders":"","keywords":"Stumpage; Competition (biology); Database transaction; Business; Economics; Agricultural economics; Database; Ecology; Computer science; Biology","score_opus":0.021331389008670654,"score_gpt":0.22239820275978872,"score_spread":0.20106681375111807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096843893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715916,0.0005337564,0.0066522723,0.00012458362,0.0013733682,0.0002980609,0.00005062957,0.000054765012,0.019320982],"genre_scores_gemma":[0.9990211,0.00012135525,0.00013872687,0.000058836882,0.00019267313,0.000034960634,0.0000067453348,0.00001464982,0.00041094248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982064,0.000018160676,0.0006743374,0.0005910743,0.00008144458,0.00042863318],"domain_scores_gemma":[0.99928033,0.00008649225,0.00026453103,0.0002517871,0.00003577112,0.00008106359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016898714,0.00007670731,0.00029951072,0.00016695041,0.00026292278,0.0007171569,0.00039370052,0.00007338623,0.00025059978],"category_scores_gemma":[0.00015021738,0.00016919902,0.00006825145,0.0005873255,0.00052053947,0.0012988049,0.00003019143,0.00010941855,0.0002357504],"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":[0.0000070639417,0.00010986909,0.88887393,0.000030399775,0.0000025950387,0.000011533357,0.00009530356,0.0015454802,0.000053896347,0.108061574,0.000768469,0.00043988856],"study_design_scores_gemma":[0.00033506603,0.000038804585,0.89959884,0.00011753499,0.0000013694033,0.000015366179,0.00005032878,0.007862969,0.000009194929,0.08897986,0.0027475199,0.0002431366],"about_ca_topic_score_codex":0.14117227,"about_ca_topic_score_gemma":0.33523542,"teacher_disagreement_score":0.19406316,"about_ca_system_score_codex":0.0002909995,"about_ca_system_score_gemma":0.000056842902,"threshold_uncertainty_score":0.8645467},"labels":[],"label_agreement":null},{"id":"W2098609119","doi":"10.1093/forestscience/50.3.299","title":"Forest Stand Structure and Pattern of Old-Growth Western Hemlock/Douglas-Fir and Mixed-Conifer Forests","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","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":"University of Alberta","funders":"University of California, Davis; U.S. Forest Service; U.S. Department of Agriculture","keywords":"Western Hemlock; Douglas fir; Forestry; Geography; Forest structure; Old-growth forest; Agroforestry; Ecology; Environmental science; Biology; Canopy","score_opus":0.009529582314777577,"score_gpt":0.1933583971128363,"score_spread":0.18382881479805874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098609119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99800617,0.0002586968,0.000012348559,0.0011416035,0.00019733408,0.00019793183,0.00011626504,0.000027847871,0.000041834694],"genre_scores_gemma":[0.9995243,0.00008598808,0.000067713896,0.00019410902,0.00006967689,0.0000031873067,0.000009007531,9.066511e-7,0.000045126784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986308,0.000017893663,0.00018954476,0.00045682656,0.000290157,0.00041473037],"domain_scores_gemma":[0.99939054,0.00009637083,0.000113300965,0.00007672869,0.0001701102,0.00015292843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020639566,0.00018843921,0.00023577282,0.00003829963,0.0006443556,0.00007846178,0.00036184778,0.00010952859,0.000018219147],"category_scores_gemma":[0.00009764905,0.00008011943,0.00003873513,0.00037363512,0.0018295317,0.00037723244,0.00040733023,0.00012253637,0.0000058054043],"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":[0.00002047797,0.00003235489,0.9955749,0.000020817899,0.000008762585,0.000007531602,0.00022476964,0.00004120803,0.0016043383,0.0013165234,0.000059702652,0.0010886184],"study_design_scores_gemma":[0.00030585815,0.00048204555,0.9877116,0.00003989611,0.000014750928,0.000031070387,0.00026367526,0.000023781204,0.0015181869,0.009283368,0.00014556247,0.00018020025],"about_ca_topic_score_codex":0.00085559214,"about_ca_topic_score_gemma":0.030408017,"teacher_disagreement_score":0.029552426,"about_ca_system_score_codex":0.000028983635,"about_ca_system_score_gemma":0.00002752529,"threshold_uncertainty_score":0.9872845},"labels":[],"label_agreement":null},{"id":"W2101029415","doi":"10.5849/forsci.09-127","title":"Estimating Canopy Cover from Standard Forest Inventory Measurements in Western Oregon","year":2012,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Canopy; Environmental science; Tree canopy; Hardwood; Forest inventory; Forestry; Crown (dentistry); Basal area; Cover (algebra); Forest ecology; Forest management; Hydrology (agriculture); Ecology; Agroforestry; Geography; Ecosystem; Biology; Geology","score_opus":0.02439543333326773,"score_gpt":0.25574510340424894,"score_spread":0.2313496700709812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101029415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846945,0.000032191503,0.008687016,0.00008858829,0.0009465422,0.0003145865,0.000005660407,0.000040435214,0.005190522],"genre_scores_gemma":[0.9957688,0.0000015953718,0.0034249863,0.00035486746,0.00006942433,0.000042794214,0.000006512446,0.000012337044,0.00031872193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99758714,0.00004693891,0.00026909544,0.00043326183,0.0008354555,0.0008281102],"domain_scores_gemma":[0.9992129,0.000033440923,0.00011879471,0.0003752266,0.000012385537,0.00024723407],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014355626,0.00017398158,0.00016567795,0.00010522099,0.00028689214,0.000058738857,0.0006636817,0.000060937004,0.00080084725],"category_scores_gemma":[0.00018565844,0.00015852739,0.00003222159,0.0005417691,0.0008680794,0.001341027,0.0005747172,0.00014622795,0.0012697051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017908977,0.000069557485,0.95241195,0.0000035783337,0.0000030851552,0.0000034013776,0.0005048755,0.043378443,0.0002704264,0.0023712427,0.0008284205,0.00013711122],"study_design_scores_gemma":[0.00043895346,0.00006557998,0.97814214,0.000033249602,0.000009290053,0.0000016729009,0.000033915814,0.009728704,0.0002336467,0.008839306,0.0022561029,0.00021745871],"about_ca_topic_score_codex":0.0014518764,"about_ca_topic_score_gemma":0.010082056,"teacher_disagreement_score":0.03364974,"about_ca_system_score_codex":0.00075310096,"about_ca_system_score_gemma":0.000054980275,"threshold_uncertainty_score":0.9995079},"labels":[],"label_agreement":null},{"id":"W2112826220","doi":"10.5849/forsci.13-009","title":"Predicting Risk of Long-Term Nitrogen Depletion Under Whole-Tree Harvesting in the Coastal Pacific Northwest","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":"Kimberly-Clark (Canada)","funders":"","keywords":"Productivity; Nutrient; Environmental science; Limiting; Ecosystem; Forestry; Agronomy; Biology; Ecology; Geography","score_opus":0.009992195693266391,"score_gpt":0.22603436091629503,"score_spread":0.21604216522302863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112826220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98633784,0.00000415171,0.0013712061,0.00012289088,0.000076717755,0.00020429146,0.000007985622,0.000023736979,0.011851166],"genre_scores_gemma":[0.9993954,0.000003744763,0.00021793557,0.000053184856,0.00005174983,0.000011539963,0.000009323505,0.0000075603048,0.00024957233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833304,0.000092505,0.00023716931,0.0003157647,0.0006181471,0.00040339064],"domain_scores_gemma":[0.9992429,0.00012638625,0.00018037639,0.00037062258,0.000010777909,0.00006892063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016614908,0.00012007529,0.000099640456,0.00010049633,0.00034256518,0.00009989591,0.0007713537,0.000029548564,0.00006999083],"category_scores_gemma":[0.0002288766,0.000086902306,0.00004078507,0.0009387092,0.0010555761,0.0005701312,0.00029792977,0.00014069902,0.00021853851],"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":[0.0000038351013,0.00002802616,0.9793973,0.0000070003134,0.0000013208943,0.0000015740426,0.0004414023,0.016759846,0.00037309775,0.0010920174,0.000044276265,0.0018502831],"study_design_scores_gemma":[0.00016956485,0.000071793846,0.9678943,0.000025348529,0.000010045409,0.000004790684,0.00008056303,0.029803101,0.000047731537,0.0016604747,0.00013323946,0.0000990029],"about_ca_topic_score_codex":0.0064042658,"about_ca_topic_score_gemma":0.060754277,"teacher_disagreement_score":0.05435001,"about_ca_system_score_codex":0.000040453615,"about_ca_system_score_gemma":0.000016553398,"threshold_uncertainty_score":0.9681377},"labels":[],"label_agreement":null},{"id":"W2116931029","doi":"10.1093/forestscience/48.4.722","title":"Periodicity of Two-Year Cycle Spruce Budworm Outbreaks in Central British Columbia: A Dendro-Ecological Analysis","year":2002,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service","keywords":"Spruce budworm; Outbreak; Ecology; Forestry; Geography; Lepidoptera genitalia; Biology; Tortricidae; Virology","score_opus":0.007031136096743583,"score_gpt":0.20652150561270285,"score_spread":0.19949036951595928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116931029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98463017,0.0000116426345,0.00024870434,0.00004849019,0.00011816274,0.00023065673,0.000008956691,0.00002746311,0.01467574],"genre_scores_gemma":[0.9982119,0.00001697209,0.000898096,0.0001426439,0.000011356057,0.000021949158,0.000001934891,0.0000044985145,0.0006906076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979548,0.000045764828,0.00031630465,0.0005329795,0.00047403874,0.0006761559],"domain_scores_gemma":[0.99936825,0.000039310005,0.00011101232,0.00030214727,0.0000128857655,0.0001663983],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005812193,0.000097486896,0.00025435418,0.00010524967,0.000288366,0.00012435728,0.0007050743,0.00006790664,0.011051311],"category_scores_gemma":[0.0001358926,0.00012611883,0.0001019917,0.002437473,0.0019860906,0.00036663408,0.0004636599,0.0001564843,0.00021753526],"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":[0.000003529307,0.0002619593,0.96380216,0.0000028684624,0.000011297117,0.000057222198,0.00019751895,0.03357691,0.0001202412,0.0010549965,0.00051603164,0.00039524861],"study_design_scores_gemma":[0.0003593991,0.00010967201,0.97075635,0.000005729131,0.00003596219,0.000011547927,0.00007412916,0.02549495,0.000011125504,0.0028849512,0.00011611022,0.00014005312],"about_ca_topic_score_codex":0.03704911,"about_ca_topic_score_gemma":0.5613937,"teacher_disagreement_score":0.52434456,"about_ca_system_score_codex":0.0002726828,"about_ca_system_score_gemma":0.000015776724,"threshold_uncertainty_score":0.9898527},"labels":[],"label_agreement":null},{"id":"W2122774458","doi":"10.5849/forsci.13-097","title":"Converting Even-Aged Plantations to Uneven-Aged Stand Conditions: A Simulation Analysis of Silvicultural Regimes with Slash Pine (<i>Pinus elliottii</i> Engelm.)","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":"Kimberly-Clark (Canada)","funders":"","keywords":"Slash Pine; Pinus <genus>; Slash (logging); Forestry; Agroforestry; Pinus tabulaeformis; Geography; Environmental science; Botany; Biology","score_opus":0.008837674355811464,"score_gpt":0.2583988378495517,"score_spread":0.24956116349374025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122774458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889566,0.000006888146,0.006263893,0.00021112786,0.00005525005,0.00035293063,0.00003335428,0.000050201463,0.004069765],"genre_scores_gemma":[0.9966474,0.0000030531876,0.0012233536,0.00028092955,0.000027002357,0.000022501308,0.00004202991,0.000008705308,0.0017449959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9980898,0.00006605611,0.0003404183,0.00042990615,0.0006805184,0.000393303],"domain_scores_gemma":[0.9989579,0.00022139946,0.00023564365,0.00036486317,0.000046262234,0.00017393881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068535557,0.00016776223,0.0002374341,0.0003775705,0.0004660868,0.00008283976,0.000450569,0.000033332253,0.00045893402],"category_scores_gemma":[0.0002790752,0.00013084135,0.000067016226,0.0039522448,0.0006464346,0.0006731654,0.0001428674,0.00008464084,0.00019223834],"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":[0.00003088201,0.000036594458,0.09242476,0.000010804455,0.000040976505,0.0000014091977,0.0014743413,0.8999811,0.003055758,0.0019568312,0.00089525233,0.00009130099],"study_design_scores_gemma":[0.0004973198,0.00022808745,0.675839,0.000056770004,0.00024227411,0.0000014237448,0.00012486371,0.32025316,0.0005259194,0.00044402372,0.0015049953,0.0002821602],"about_ca_topic_score_codex":0.0005251749,"about_ca_topic_score_gemma":0.0018900473,"teacher_disagreement_score":0.58341426,"about_ca_system_score_codex":0.000112555324,"about_ca_system_score_gemma":0.000029289211,"threshold_uncertainty_score":0.5335555},"labels":[],"label_agreement":null},{"id":"W2129015256","doi":"10.1093/forestscience/56.4.366","title":"Implications of Expanding Bioenergy Production from Wood in British Columbia: An Application of a Regional Wood Fiber Allocation Model","year":2010,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Biomass Utilization and Management","field":"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":true,"ca_institutions":"University of Victoria; Squamish Nation; Canadian Forest Service","funders":"","keywords":"Bioenergy; Environmental science; Raw material; Wood production; Pulpwood; Wood processing; Electricity; Biomass (ecology); Agroforestry; Renewable energy; Production (economics); Pulp and paper industry; Forestry; Forest management; Waste management; Biofuel; Geography; Engineering; Ecology","score_opus":0.012257365624067713,"score_gpt":0.23324526694073755,"score_spread":0.22098790131666984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129015256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9499321,0.000010365332,0.049323153,0.00005412702,0.000088241926,0.0002122636,0.000012057048,0.00005452214,0.00031319942],"genre_scores_gemma":[0.99461204,0.000012672336,0.0051385523,0.0000080015425,0.000022930517,0.000082617495,0.000063445696,0.000008764354,0.000050949104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922884,0.0000048698544,0.00022398934,0.00023059026,0.00018732907,0.00012435784],"domain_scores_gemma":[0.9994629,0.0000065695613,0.0000705672,0.0003024765,0.00011161002,0.000045861954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017674797,0.00004856888,0.00007809267,0.00012695325,0.000060007453,0.000045051424,0.00023243367,0.0000424312,0.000015082579],"category_scores_gemma":[0.000029510185,0.00007541936,0.000015987383,0.0007178317,0.0001952428,0.00040076935,0.000030035548,0.000051111696,0.000001819733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028749907,0.0001815654,0.030732164,0.000039201128,0.0000059053737,1.1298334e-7,0.00029629382,0.54447544,0.390585,0.02055568,0.00033921606,0.012786532],"study_design_scores_gemma":[0.00017881014,0.000018848135,0.28777903,0.000031315427,0.0000065835816,0.0000020442533,0.00007844455,0.6935929,0.006399298,0.011582233,0.00020500379,0.00012545673],"about_ca_topic_score_codex":0.0032177214,"about_ca_topic_score_gemma":0.15205683,"teacher_disagreement_score":0.3841857,"about_ca_system_score_codex":0.00004070581,"about_ca_system_score_gemma":0.000040968655,"threshold_uncertainty_score":0.8634159},"labels":[],"label_agreement":null},{"id":"W2132531112","doi":"10.1093/forestscience/50.3.364","title":"Spatial Relationship of Biomass and Species Distribution in an Old-Growth <i>Pseudotsuga-Tsuga</i> Forest","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"U.S. Forest Service; Harvard University; Earthwatch Institute; U.S. Department of Agriculture","keywords":"Tsuga; Basal area; Biomass (ecology); Thuja; Diameter at breast height; Spatial distribution; Point pattern analysis; Spatial ecology; Western Hemlock; Snag; Old-growth forest; Forestry; Ecology; Environmental science; Biology; Geography; Habitat","score_opus":0.009989872420561355,"score_gpt":0.21665217929965028,"score_spread":0.20666230687908893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132531112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98373467,0.000007079359,0.0138253905,0.00032746623,0.00011421088,0.00022706126,0.000012361899,0.000020860567,0.0017309068],"genre_scores_gemma":[0.99922943,0.000005905554,0.00058708066,0.00005858733,0.000014476027,0.000015198,0.000018230508,0.000004587068,0.00006649382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987284,0.000024260167,0.00022318964,0.00037263468,0.00032489837,0.00032664678],"domain_scores_gemma":[0.99951005,0.000038716113,0.00009131961,0.0002315511,0.000019918061,0.00010844226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005859979,0.00010793544,0.00011166755,0.00009042832,0.00024564518,0.000035242123,0.00035001148,0.000054636483,0.00007726618],"category_scores_gemma":[0.00023576818,0.000099131415,0.000020391386,0.0007370228,0.0018977236,0.0007496566,0.00026753987,0.00008789955,0.000052180145],"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":[0.000010333905,0.00007297889,0.7167277,0.0000053894196,5.3990254e-7,0.0000045053794,0.00013578354,0.0054617375,0.0007331059,0.27678582,0.00003101426,0.000031120082],"study_design_scores_gemma":[0.0003320471,0.00015675274,0.87518644,0.00001187666,0.000004121924,0.0000039960437,0.00005204418,0.0010764054,0.0008743567,0.12215931,0.000040823998,0.00010178936],"about_ca_topic_score_codex":0.0017906531,"about_ca_topic_score_gemma":0.018292073,"teacher_disagreement_score":0.1584588,"about_ca_system_score_codex":0.00021507016,"about_ca_system_score_gemma":0.000032348376,"threshold_uncertainty_score":0.9996215},"labels":[],"label_agreement":null},{"id":"W2138605944","doi":"10.1093/forestscience/49.3.381","title":"Hyperspectral Remote Sensing of Forest Condition: Estimating Chlorophyll Content in Tolerant Hardwoods","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Ontario Forest Research Institute","funders":"Ministry of Natural Resources","keywords":"Environmental science; Hyperspectral imaging; Remote sensing; Canopy; Vegetation (pathology); Ecology; Geography; Biology","score_opus":0.017382100687617513,"score_gpt":0.23692847607353965,"score_spread":0.21954637538592214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138605944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97879994,0.00001576444,0.010271463,0.00014356402,0.0004123141,0.0002408299,0.0000018436667,0.00003188553,0.010082369],"genre_scores_gemma":[0.8602517,0.0000012086543,0.13946523,0.000090093396,0.000028023695,1.4096535e-7,0.0000014995089,0.000008714299,0.00015337438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978538,0.000052048374,0.00036293358,0.0005019457,0.00070016243,0.0005290755],"domain_scores_gemma":[0.99924374,0.000059121863,0.00017033191,0.000344435,0.000042181757,0.0001402004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007096302,0.00017819053,0.00022606232,0.00008059185,0.00027028305,0.000084413885,0.0003172292,0.000060819617,0.00007439096],"category_scores_gemma":[0.0004797029,0.00014218444,0.000062214946,0.0009583805,0.0014922087,0.00032158734,0.000098968194,0.00018991997,0.0000754728],"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":[0.000025862511,0.00011292204,0.05134258,0.000029102264,0.000006754554,0.00015544954,0.0026003674,0.6605043,0.2701065,0.0076547083,0.0003278046,0.0071336813],"study_design_scores_gemma":[0.00080626045,0.00019813052,0.3733846,0.0002804053,0.000013426066,0.00040868277,0.00061542384,0.5804899,0.030914221,0.011892101,0.0004616648,0.0005352094],"about_ca_topic_score_codex":0.001472498,"about_ca_topic_score_gemma":0.0011693762,"teacher_disagreement_score":0.32204202,"about_ca_system_score_codex":0.0003372393,"about_ca_system_score_gemma":0.00006096018,"threshold_uncertainty_score":0.5798113},"labels":[],"label_agreement":null},{"id":"W2151338309","doi":"10.1093/forestscience/53.2.131","title":"A Synthesis of the Ecology of Headwater Streams and their Riparian Zones in Temperate Forests","year":2007,"lang":"en","type":"article","venue":"Forest Science","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":139,"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":"Pacific Northwest Research Station; U.S. Forest Service","keywords":"STREAMS; Riparian zone; Ecology; Environmental science; Channelized; Large woody debris; Temperate rainforest; Temperate climate; Detritus; Temperate forest; Channel (broadcasting); Hydrology (agriculture); Geology; Ecosystem; Habitat; Biology","score_opus":0.005505649768630456,"score_gpt":0.20819238008254784,"score_spread":0.20268673031391737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151338309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99879473,0.000013067332,0.00015777428,0.0001704457,0.000050308943,0.000106668114,0.0000027791782,0.0000040133536,0.00070023624],"genre_scores_gemma":[0.99979603,0.000006033342,0.00011699246,0.00004667466,0.0000034024554,0.0000050834715,2.0095082e-7,0.000002495826,0.000023060265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919194,0.000018560771,0.0001991544,0.00019951415,0.00014075484,0.00025007976],"domain_scores_gemma":[0.9996221,0.00010206196,0.000065930995,0.00015905817,0.000007914862,0.000042926193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008764491,0.00007308134,0.00012462423,0.000055268676,0.000100814,0.000004103356,0.00034899992,0.000046443485,0.000073905576],"category_scores_gemma":[0.00006641634,0.000041417457,0.000019295527,0.00042980813,0.0021718142,0.00017878239,0.00009304504,0.000058525686,0.000003964546],"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":[0.000018440209,0.000053579137,0.988911,0.000007490377,0.0000013966259,0.0000012226657,0.0006786143,0.0021015883,0.0068045235,0.00076264935,0.0000022723634,0.00065726065],"study_design_scores_gemma":[0.00008983564,0.000048268128,0.89335984,0.0000149273965,0.0000027246606,0.0000038883068,0.000068773385,0.0005478683,0.10263665,0.0031589312,0.000024334106,0.000043944452],"about_ca_topic_score_codex":0.00040146484,"about_ca_topic_score_gemma":0.021996586,"teacher_disagreement_score":0.095832124,"about_ca_system_score_codex":0.000018579174,"about_ca_system_score_gemma":0.000026245261,"threshold_uncertainty_score":0.99584943},"labels":[],"label_agreement":null},{"id":"W2156974918","doi":"10.1093/forestscience/55.1.72","title":"On the Use of Statistical Tests with Non-Normally Distributed Data in Landscape Change Detection","year":2009,"lang":"en","type":"article","venue":"Forest Science","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":"McGill University; University of British Columbia","funders":"","keywords":"Nonparametric statistics; Multivariate statistics; Population; Skewness; Univariate; Geography; Physical geography; Climate change; Ecology; Statistics; Mathematics; Biology; Demography","score_opus":0.030948586268594685,"score_gpt":0.2450723300366401,"score_spread":0.21412374376804544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156974918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9613192,0.0000012493721,0.037431844,0.00042762895,0.00004283303,0.0003117474,0.000037226884,0.0000107752485,0.00041750795],"genre_scores_gemma":[0.99904215,0.0000023437635,0.0006114752,0.00029397072,0.000005387256,0.000010955691,0.000016148657,0.0000018225444,0.000015765681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991116,0.000018130853,0.00009806116,0.0002586193,0.0002860397,0.00022756895],"domain_scores_gemma":[0.999354,0.0001081141,0.000048066817,0.00044021022,0.0000059257645,0.000043707343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042903633,0.00006540706,0.00006270041,0.00004085889,0.00012369535,0.000025774189,0.0005383846,0.000019591314,0.00011488163],"category_scores_gemma":[0.00020190254,0.000038973143,0.000004877496,0.00062225555,0.00054707506,0.00052073225,0.00021193625,0.00007971135,0.00005188318],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034900964,0.0007727629,0.72208685,0.00001065059,0.000006567931,0.000087197935,0.0004838101,0.07147171,0.00078738603,0.190015,0.003981555,0.009947494],"study_design_scores_gemma":[0.0001270567,0.00035368916,0.9384875,0.000009550666,0.0000030885597,0.0000022003078,0.000009620178,0.05708335,0.000049349834,0.003577156,0.00024355818,0.000053872744],"about_ca_topic_score_codex":0.00028365265,"about_ca_topic_score_gemma":0.0069537195,"teacher_disagreement_score":0.21640067,"about_ca_system_score_codex":0.00004277359,"about_ca_system_score_gemma":0.0000117613545,"threshold_uncertainty_score":0.38803387},"labels":[],"label_agreement":null},{"id":"W2160728183","doi":"10.5849/forsci.13-509","title":"A Site Index Model for Lodgepole Pine in British Columbia","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Site index; Forestry; Pinus contorta; Index (typography); Geography; Environmental science; Archaeology; Computer science","score_opus":0.005450492623443556,"score_gpt":0.20278921246230988,"score_spread":0.19733871983886633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160728183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8309874,0.0000028860657,0.16472286,0.00014139566,0.000118095544,0.00035474962,0.0000044823505,0.00002864074,0.003639495],"genre_scores_gemma":[0.9925162,0.0000019539675,0.0023522626,0.0005649795,0.0000142126655,0.000089108304,0.0000028595828,0.0000065786608,0.0044518313],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874514,0.000010972818,0.00015107675,0.0004075523,0.00023564829,0.00044962132],"domain_scores_gemma":[0.99959654,0.000025826554,0.000046356843,0.00022635295,0.000008571809,0.000096360505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080247165,0.000059685746,0.00009889731,0.000036420017,0.00028623122,0.00014079695,0.0004456732,0.00004140582,0.00025510506],"category_scores_gemma":[0.00014881739,0.00008876498,0.00002681406,0.0004224045,0.0007911485,0.00038089557,0.00031836724,0.00006590349,0.00016438543],"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":[0.0000052388987,0.00009158834,0.6200897,0.000007077973,8.3647495e-7,0.0000031816596,0.00012183246,0.3596859,0.000111519075,0.010878142,0.007773894,0.0012311009],"study_design_scores_gemma":[0.00022296206,0.000041379404,0.41629627,0.0000053469385,0.0000012113072,0.0000018589042,0.000004795393,0.5299976,0.000002257056,0.052353717,0.0009999702,0.0000726528],"about_ca_topic_score_codex":0.0103539135,"about_ca_topic_score_gemma":0.63046163,"teacher_disagreement_score":0.6201077,"about_ca_system_score_codex":0.00012620557,"about_ca_system_score_gemma":0.00002368562,"threshold_uncertainty_score":0.9962362},"labels":[],"label_agreement":null},{"id":"W2184293438","doi":"10.1093/forestscience/54.2.220","title":"Seed Germination: Mathematical Representation and Parameters Extraction","year":2008,"lang":"en","type":"article","venue":"Forest Science","topic":"Seed Germination and Physiology","field":"Agricultural and Biological Sciences","cited_by":103,"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; University of Washington","keywords":"Germination; Pinus contorta; Dormancy; Biology; Agronomy; Botany; Mathematics; Horticulture","score_opus":0.044812719472397636,"score_gpt":0.2907688852490941,"score_spread":0.2459561657766965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184293438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980951,0.000010834242,0.000113444505,0.0005232677,0.00010606449,0.00008613648,0.0000013358155,0.00003387691,0.0010299189],"genre_scores_gemma":[0.9990847,0.000011968035,0.00042781734,0.00009578991,0.000045466422,0.000008520233,0.000005929767,2.6339575e-7,0.00031954248],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993381,0.000021906604,0.00010058319,0.00021157232,0.0001920389,0.00013579834],"domain_scores_gemma":[0.9996168,0.00016249035,0.000048816237,0.00003796493,0.00006361571,0.00007032687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016514416,0.000051866908,0.000062307285,0.000018324066,0.00036236635,0.000030698306,0.00010933985,0.000031191274,0.00007998944],"category_scores_gemma":[0.00014655071,0.000021526892,0.000019012456,0.00042683457,0.00042775954,0.00030518556,0.000029743593,0.000043978274,0.000048476915],"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":[0.000036191825,0.00016683746,0.034611125,0.000008675206,0.0000037920265,0.000022086291,0.0010688737,0.00024458536,0.8852505,0.03799101,0.00035391282,0.040242422],"study_design_scores_gemma":[0.00005387997,0.0000770117,0.9776757,0.000004341444,0.0000017836246,0.00010614576,0.0001386555,0.004863294,0.0031857463,0.013493514,0.00032439386,0.00007554165],"about_ca_topic_score_codex":0.00002617716,"about_ca_topic_score_gemma":0.0000115633875,"teacher_disagreement_score":0.9430646,"about_ca_system_score_codex":0.000012829352,"about_ca_system_score_gemma":0.000010726567,"threshold_uncertainty_score":0.27870655},"labels":[],"label_agreement":null},{"id":"W2184885011","doi":"","title":"Modeling Jack Pine (Pinus banksiana) Foliage Density Distribution","year":2011,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biomass (ecology); Crown (dentistry); Botany; Whorl (mollusc); Biology; Pinus <genus>; Growing season; Horticulture; Agronomy","score_opus":0.016636323232530364,"score_gpt":0.21059445877984287,"score_spread":0.1939581355473125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184885011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72928303,0.000005381696,0.25913668,0.00008707265,0.00025347524,0.00016644187,0.000003204077,0.00005810269,0.011006601],"genre_scores_gemma":[0.99808645,0.0000051851794,0.0013852882,0.00016191074,0.000017685576,0.00001388433,0.0000072982302,0.0000050965236,0.0003171764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985836,0.000016434617,0.00015033525,0.00043328438,0.00033601135,0.00048034178],"domain_scores_gemma":[0.9994482,0.0000066474367,0.000043901266,0.00033659197,0.000014882837,0.00014980829],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059359625,0.0001146573,0.00009386045,0.00003653725,0.00043974104,0.000027166141,0.0005806162,0.000046641635,0.0008386584],"category_scores_gemma":[0.00008273643,0.00010319205,0.00003739256,0.00049538154,0.0008794097,0.0005841485,0.0005215841,0.00010004333,0.0014295517],"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":[0.000055719014,0.00031305445,0.14425711,0.0000134798765,0.000009732868,0.000089039575,0.0011891688,0.13656008,0.0006669418,0.71283805,0.0031553798,0.0008522378],"study_design_scores_gemma":[0.00020232788,0.00011747319,0.4506378,0.000007963043,0.000013645379,0.000012270206,0.000062220206,0.43928006,0.0004893954,0.10848318,0.0004590517,0.00023460123],"about_ca_topic_score_codex":0.00090657827,"about_ca_topic_score_gemma":0.0014302679,"teacher_disagreement_score":0.60435486,"about_ca_system_score_codex":0.00020574093,"about_ca_system_score_gemma":0.000020695754,"threshold_uncertainty_score":0.9993479},"labels":[],"label_agreement":null},{"id":"W2201574122","doi":"10.1093/forestscience/55.4.293","title":"An Accurate Approximation for Distance Distributions Arising in Airtanker Positioning and Related Problems","year":2009,"lang":"en","type":"article","venue":"Forest Science","topic":"Indoor and Outdoor Localization Technologies","field":"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":"Western University","funders":"","keywords":"Mathematics; Statistics; Econometrics; Computer science; Statistical physics; Environmental science; Applied mathematics; Physics","score_opus":0.006956739230741092,"score_gpt":0.23847258294178303,"score_spread":0.23151584371104195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2201574122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30035096,0.00005490138,0.69877625,0.00009925977,0.000053609805,0.00019096363,0.000009021983,0.0002478001,0.00021721794],"genre_scores_gemma":[0.99674994,0.000008919035,0.0031721336,0.00000832309,0.0000052405344,0.000017639984,0.000028902863,0.0000041220073,0.00000480894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942374,0.0000037096047,0.00014427744,0.00014802822,0.00008341129,0.0001968598],"domain_scores_gemma":[0.9997824,0.000012930804,0.000023711642,0.000108534536,0.000043333097,0.000029128181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019093728,0.000064453074,0.000061128725,0.00011009162,0.0002145915,0.00010707831,0.00011698473,0.000043929682,9.900945e-7],"category_scores_gemma":[0.00007319436,0.000062856765,0.000009114759,0.0006192689,0.00012662454,0.0006919852,0.0000072037406,0.00006502559,8.795962e-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":[0.0000026772145,0.000020011898,0.0021646433,0.000020693835,0.0000010694268,7.455154e-7,0.0005001212,0.5945297,0.010366067,0.3889047,0.00001678272,0.0034728209],"study_design_scores_gemma":[0.00015009212,0.000039469625,0.022363659,0.000047114383,0.000001977178,0.0000037923403,0.000071541275,0.8955983,0.003447898,0.07814802,0.000028820346,0.000099311204],"about_ca_topic_score_codex":0.0000030832698,"about_ca_topic_score_gemma":0.00002230943,"teacher_disagreement_score":0.6963989,"about_ca_system_score_codex":0.00007518483,"about_ca_system_score_gemma":0.000013563534,"threshold_uncertainty_score":0.25632244},"labels":[],"label_agreement":null},{"id":"W2215275562","doi":"10.5849/forsci.14-215","title":"Quantifying the Opportunity Cost of Extended Rotation Forestry with Cohort Yield Metrics in Minnesota","year":2015,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Pacific Forest Industries","funders":"","keywords":"Yield (engineering); Basal area; Cohort; Habitat; Statistics; Geography; Environmental science; Ecology; Forestry; Mathematics; Biology","score_opus":0.08978419690509695,"score_gpt":0.30277735755694807,"score_spread":0.21299316065185112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215275562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97774255,0.00001068023,0.0006675699,0.00029890094,0.000091414506,0.0004715229,0.0000024271565,0.000015478796,0.02069945],"genre_scores_gemma":[0.99878275,0.000008837928,0.0006206905,0.00011751475,0.000013797603,0.000028799483,0.0000032619566,0.0000062714203,0.00041805254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983332,0.000029538005,0.0002109759,0.00026620587,0.00082684786,0.00033319375],"domain_scores_gemma":[0.99917656,0.000096159885,0.00014210358,0.0003835528,0.000031428466,0.00017021474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017309684,0.00010684914,0.000114433264,0.00016701895,0.00014123009,0.00005339146,0.0006941946,0.000029942736,0.00014599027],"category_scores_gemma":[0.00071428047,0.00006832086,0.000020502199,0.0024797295,0.0011215823,0.00069496466,0.0002552988,0.00011245787,0.00008943853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020136993,0.0000484046,0.963425,0.000004593381,0.0000018417886,0.00000563677,0.00037216305,0.026403464,0.00007552413,0.0075019593,0.0012398147,0.0009014644],"study_design_scores_gemma":[0.00026585092,0.00014292069,0.944914,0.00002586978,0.000011744782,0.000005909226,0.00028334674,0.05128875,0.00017538392,0.0013751638,0.001364293,0.0001468033],"about_ca_topic_score_codex":0.0032981695,"about_ca_topic_score_gemma":0.0043629836,"teacher_disagreement_score":0.024885288,"about_ca_system_score_codex":0.00013025478,"about_ca_system_score_gemma":0.00010813713,"threshold_uncertainty_score":0.49858677},"labels":[],"label_agreement":null},{"id":"W2241866293","doi":"10.5849/forsci.14-013","title":"Minnesota's Logging Businesses: An Assessment of the Health and Viability of the Sector","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":"Alberta Pacific Forest Industries","funders":"University of Minnesota; AgStar Financial Services, ACA","keywords":"Logging; Procurement; Business; Work (physics); Public sector; Private sector; Agricultural economics; Economic growth; Marketing; Forestry; Engineering; Geography; Economics; Economy","score_opus":0.011764926849207005,"score_gpt":0.28635036595892566,"score_spread":0.27458543910971867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2241866293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99483806,0.000003998624,0.00028557936,0.001076622,0.00014893839,0.00023542896,0.0000022747925,0.0000065311956,0.0034025572],"genre_scores_gemma":[0.99906224,0.0000026176551,0.00049074704,0.0002982331,0.000015811855,0.000003574011,2.7055975e-7,0.000003128654,0.00012339787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988868,0.0000783486,0.0001668597,0.0002209109,0.00043475858,0.00021230816],"domain_scores_gemma":[0.9991587,0.00004032974,0.00016890031,0.00054759195,0.000012021972,0.00007246498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011522985,0.00007162903,0.000098307464,0.00002452123,0.00028756825,0.000023011198,0.0007496454,0.000013625593,0.00009640998],"category_scores_gemma":[0.00012876131,0.00003796336,0.000026410618,0.00065504154,0.0019853706,0.0003013476,0.0005633509,0.00005407866,0.000003826612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017871943,0.000044339293,0.97790086,0.000036985944,7.2441526e-7,1.681088e-8,0.00039963797,0.004893586,0.00096125685,0.014756422,0.00022720925,0.00077718426],"study_design_scores_gemma":[0.00007502655,0.00007193674,0.96247697,0.000017682032,0.000002428589,6.479367e-7,0.000026067655,0.032625556,0.000113884336,0.0025706533,0.0019711035,0.000048033027],"about_ca_topic_score_codex":0.0015703993,"about_ca_topic_score_gemma":0.0008268913,"teacher_disagreement_score":0.02773197,"about_ca_system_score_codex":0.000061827915,"about_ca_system_score_gemma":0.00007103257,"threshold_uncertainty_score":0.73151815},"labels":[],"label_agreement":null},{"id":"W2252837947","doi":"10.5849/forsci.13-183","title":"Forest Carbon Offsets Revisited: Shedding Light on Darkwoods","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Carbon offset; Climate change; Carbon fibers; Natural resource economics; Carbon sequestration; Environmental science; Offset (computer science); Carbon accounting; Carbon credit; Greenhouse gas; Forest inventory; Carbon sink; Global warming; Forest management; Business; Agroforestry; Ecology; Economics; Carbon dioxide; Computer science","score_opus":0.0067113807682193955,"score_gpt":0.2371906859681506,"score_spread":0.2304793051999312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252837947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63966566,0.0000060073844,0.00010158006,0.0006733232,0.00025071003,0.0001843565,0.000001114748,0.0000807403,0.3590365],"genre_scores_gemma":[0.9948122,0.000006045338,0.00035110523,0.00075297756,0.00016881913,0.000013927925,0.00000384932,0.000016913908,0.0038741769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759895,0.00003890298,0.00022215731,0.00061784533,0.0008482272,0.0006739068],"domain_scores_gemma":[0.99890673,0.000054374043,0.00010272007,0.0006852236,0.000011042123,0.00023992064],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010169105,0.00020723573,0.00015888894,0.00018286178,0.00043458407,0.00015596068,0.0010255112,0.00005105176,0.00065174553],"category_scores_gemma":[0.0002474383,0.00017066202,0.000057067213,0.0011679202,0.00063920236,0.00045333747,0.00049002335,0.00014510237,0.0029820588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038092243,0.00015339145,0.624814,0.000030401166,0.0000073520105,0.000014364858,0.0006047665,0.041121513,0.0042306352,0.28054813,0.0404885,0.007948889],"study_design_scores_gemma":[0.0005779057,0.00067731977,0.3521094,0.0001594538,0.000028840564,0.00001121319,0.00001900015,0.28509575,0.0012123018,0.01799897,0.34114552,0.0009643483],"about_ca_topic_score_codex":0.0004671813,"about_ca_topic_score_gemma":0.00028453942,"teacher_disagreement_score":0.35516232,"about_ca_system_score_codex":0.00017174262,"about_ca_system_score_gemma":0.000015670657,"threshold_uncertainty_score":0.9977942},"labels":[],"label_agreement":null},{"id":"W2271384268","doi":"10.5849/forsci.15-062","title":"Comparing Tree Selection as Performed by Different Professional Figures","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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 de Moncton","funders":"Interreg; European Commission","keywords":"Acre; Tree (set theory); Selection (genetic algorithm); Forestry; Forest management; Agroforestry; Geography; Biology; Mathematics; Computer science; Machine learning","score_opus":0.008390239775196082,"score_gpt":0.23256681343392166,"score_spread":0.22417657365872556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271384268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97943693,0.0000045717043,0.002731545,0.00055054197,0.0003651675,0.00018754807,9.655326e-7,0.00004967818,0.016673053],"genre_scores_gemma":[0.9834201,0.0000056410668,0.000074264106,0.00016991571,0.000020125119,0.00004398343,0.0000015935308,0.0000048206093,0.016259579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864894,0.000016460457,0.00012693864,0.00036507272,0.0004303886,0.00041216996],"domain_scores_gemma":[0.9996193,0.000038683018,0.000057458266,0.00015107653,0.000007929795,0.0001255756],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027858603,0.00010823019,0.0000878167,0.000047161913,0.00052939565,0.000027299768,0.0004346707,0.000037065216,0.0021997765],"category_scores_gemma":[0.00007024696,0.00006245813,0.00002531885,0.00025301066,0.00084268604,0.00046171917,0.00033345813,0.000068158275,0.0012997638],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037251397,0.00016157482,0.8584896,0.0000044710127,0.000003983858,0.0000016701164,0.000098299955,0.0006630061,0.031408127,0.07770497,0.029693116,0.0017339415],"study_design_scores_gemma":[0.00034357447,0.00015306775,0.95646983,0.000023757031,0.000004609586,0.0000048961406,0.000020921027,0.0036261505,0.0063051837,0.028015643,0.0048802,0.0001521915],"about_ca_topic_score_codex":0.00008560653,"about_ca_topic_score_gemma":0.0011610058,"teacher_disagreement_score":0.097980216,"about_ca_system_score_codex":0.00026333728,"about_ca_system_score_gemma":0.000020833964,"threshold_uncertainty_score":0.99947786},"labels":[],"label_agreement":null},{"id":"W2288879807","doi":"10.1093/forestscience/49.6.901","title":"Selection for Both Growth and Wood Properties in Hybrid Poplar Clones","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Wood Treatment and Properties","field":"Engineering","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":"Service de Recherche et d'EXpertise en Transformation des Produits Forestiers; Intertek (Canada)","funders":"","keywords":"Biology; Tree breeding; Genetic gain; Selection (genetic algorithm); Hybrid; Woody plant; Heritability; Fiber; Horticulture; Botany; Clonal selection; Water content; Agronomy; Genetic variation; Gene; Chemistry; Genetics","score_opus":0.01264706125023556,"score_gpt":0.18830613382487443,"score_spread":0.17565907257463886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288879807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978301,0.0004908568,0.00054885464,0.000025347394,0.00011305862,0.00017891849,0.0000012146498,0.000066939654,0.00074472884],"genre_scores_gemma":[0.9990181,0.00003875244,0.0007941722,0.000008195611,0.0000131286515,0.000047172005,5.3944666e-7,0.000007986698,0.00007198461],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99952304,0.0000052908163,0.00007067653,0.0001236554,0.00007980146,0.00019753781],"domain_scores_gemma":[0.9998888,0.000009456415,0.0000073377737,0.000046699493,0.000015849397,0.00003189719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011678986,0.000072621915,0.00006502025,0.00009046373,0.00011209038,0.00005730444,0.000058726004,0.000013384188,0.0000017942798],"category_scores_gemma":[0.000047275815,0.00005440739,0.000010078211,0.00019407753,0.00009432588,0.00032546135,0.000007071606,0.00003163158,0.000002493144],"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":[0.000118713186,0.00025862327,0.66627735,0.00076450786,0.00005509779,0.000010989514,0.004670433,0.04290293,0.17077728,0.10937277,0.00074962224,0.004041715],"study_design_scores_gemma":[0.0015834098,0.0006272021,0.027507287,0.00015711106,0.00002583702,0.00008615496,0.00026438205,0.15673062,0.79294306,0.017401455,0.001957739,0.00071574707],"about_ca_topic_score_codex":0.00003225011,"about_ca_topic_score_gemma":0.00010420365,"teacher_disagreement_score":0.63877004,"about_ca_system_score_codex":0.00002523767,"about_ca_system_score_gemma":0.00002391204,"threshold_uncertainty_score":0.22186689},"labels":[],"label_agreement":null},{"id":"W2304503089","doi":"10.1093/forestscience/51.1.41","title":"A Critical Evaluation of Fire Suppression Effects in the Boreal Forest of Ontario","year":2005,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","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":"University of Calgary; University of Guelph; Ministry of Natural Resources and Forestry","funders":"","keywords":"Boreal; Taiga; Environmental science; Fire ecology; Fire regime; Fire protection; Wildfire suppression; Fire history; Geography; Physical geography; Ecology; Climate change; Forestry; Ecosystem; Firefighting; Biology; Cartography; Engineering","score_opus":0.011261379369683551,"score_gpt":0.2729013953173043,"score_spread":0.2616400159476207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304503089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99325174,0.000023852097,0.00012620869,0.00015408201,0.00014298897,0.00054967694,0.0000016826043,0.000006309096,0.0057434402],"genre_scores_gemma":[0.99932903,3.9064926e-7,0.0005437543,0.000035929348,0.000020182475,0.000045937206,0.0000016173448,0.0000043600753,0.000018795046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739,0.00017107281,0.0002633168,0.00027868885,0.0016012628,0.00029569532],"domain_scores_gemma":[0.9990494,0.00036805402,0.00009152334,0.00038972194,0.000040842344,0.000060445505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003734515,0.000095982636,0.00014091165,0.000054269676,0.000095327654,0.00002235138,0.0006615957,0.00004512422,0.00011600026],"category_scores_gemma":[0.0010907671,0.00006379247,0.000038131304,0.0005680952,0.0008388235,0.00058164675,0.00014364415,0.00011457358,0.00004303379],"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":[0.000025513697,0.00030799818,0.9429596,0.000046116726,0.0000012919576,0.0000032094586,0.004831072,0.027179455,0.0066126785,0.0027663708,0.00042686777,0.014839804],"study_design_scores_gemma":[0.00025425223,0.00014407818,0.7831977,0.0000814656,0.000009425614,0.0000056829294,0.000022500828,0.21289955,0.0018584694,0.0013635508,0.00010400219,0.000059326016],"about_ca_topic_score_codex":0.037555527,"about_ca_topic_score_gemma":0.2382763,"teacher_disagreement_score":0.20072077,"about_ca_system_score_codex":0.0005613702,"about_ca_system_score_gemma":0.00018511014,"threshold_uncertainty_score":0.9688535},"labels":[],"label_agreement":null},{"id":"W2312620111","doi":"10.5849/forsci.11-146","title":"Volume and Error Variance Estimation Using Integrated Stem Taper Models","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Ministère des Ressources naturelles et des Forêts (Québec); Université du Québec à Rimouski","funders":"","keywords":"Estimator; Statistics; Mathematics; Variance (accounting); Monte Carlo method; Confidence interval; Mean squared error; Taylor series; Volume (thermodynamics); Gaussian; Econometrics","score_opus":0.01639007731871205,"score_gpt":0.22506192710765532,"score_spread":0.20867184978894326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312620111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7295237,0.000007157817,0.26749486,0.00019065948,0.00012636633,0.00026737252,8.574933e-7,0.000034219862,0.0023548265],"genre_scores_gemma":[0.97983533,0.0000017904817,0.018488726,0.00019177335,0.0000055769056,0.000026526432,0.0000010090293,0.0000052049722,0.0014440843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989675,0.000017119226,0.00013054292,0.000344421,0.00023237182,0.0003080179],"domain_scores_gemma":[0.9996103,0.000012392315,0.000057511126,0.00019932445,0.000016043878,0.0001044143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033372352,0.00009657914,0.00007883974,0.000049593506,0.00034881206,0.00009677907,0.0002904936,0.00003775526,0.0006729116],"category_scores_gemma":[0.000025853702,0.000080365884,0.000012185131,0.00042402695,0.000972714,0.0017502344,0.00028644674,0.00006976291,0.00065112865],"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":[0.000003481985,0.000035386503,0.018029775,0.000005335577,0.0000024630103,0.000002636188,0.00031394794,0.90083194,0.0012784064,0.076239645,0.0010960567,0.0021609063],"study_design_scores_gemma":[0.00007474257,0.000029410829,0.06971344,0.0000074920636,0.000004158941,0.0000056478143,0.00005743424,0.8732524,0.000028938111,0.05656832,0.00016363685,0.00009437492],"about_ca_topic_score_codex":0.0011797383,"about_ca_topic_score_gemma":0.00019483335,"teacher_disagreement_score":0.2503116,"about_ca_system_score_codex":0.00014052921,"about_ca_system_score_gemma":0.000022391097,"threshold_uncertainty_score":0.83691585},"labels":[],"label_agreement":null},{"id":"W2313239756","doi":"10.5849/forsci.11-156","title":"Forest Sector Partial Equilibrium Models: Processing Components","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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 British Columbia","funders":"","keywords":"Marginal cost; Partial equilibrium; Variable cost; Component (thermodynamics); Economics; Econometrics; Variable (mathematics); Fixed cost; Production (economics); General equilibrium theory; Economic model; Microeconomics; Mathematics; Thermodynamics","score_opus":0.030852496597516973,"score_gpt":0.24183206769306495,"score_spread":0.210979571095548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313239756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95102155,0.000013392174,0.0011168595,0.00035053954,0.0002159494,0.00040813006,0.0000018390818,0.000114971124,0.04675675],"genre_scores_gemma":[0.9954091,0.0000017661368,0.0010041398,0.00032797913,0.00010821297,0.00006128557,0.0000053649983,0.000017277322,0.0030649141],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763227,0.000018676423,0.00023183542,0.0005213654,0.00078733277,0.00080854376],"domain_scores_gemma":[0.9991903,0.00001690214,0.00009797021,0.00038883145,0.000021111846,0.00028492292],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00032089924,0.00018941036,0.00013155014,0.00010003809,0.00037896176,0.00035345365,0.0010181189,0.000042275584,0.0026918033],"category_scores_gemma":[0.000035628465,0.00015849216,0.000048078953,0.0008617697,0.001293311,0.0029653723,0.00073305785,0.000107737775,0.0075435885],"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":[0.000024289404,0.00024813047,0.2866045,0.000044696724,0.000006831388,0.000010699086,0.0013474897,0.63408685,0.018710531,0.020607917,0.032560814,0.0057472913],"study_design_scores_gemma":[0.00017218823,0.000054594744,0.06518813,0.000018255587,0.000005516159,0.0000037072948,0.000013416688,0.9153881,0.00015135795,0.015275429,0.0034691084,0.0002601802],"about_ca_topic_score_codex":0.0022625057,"about_ca_topic_score_gemma":0.00020073223,"teacher_disagreement_score":0.2813013,"about_ca_system_score_codex":0.00013575189,"about_ca_system_score_gemma":0.00003444598,"threshold_uncertainty_score":0.99821985},"labels":[],"label_agreement":null},{"id":"W2314676431","doi":"10.5849/forsci.12-013","title":"US Imports for Canadian Softwood Lumber in the Context of Trade Dispute: A Cointegration Approach","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":26,"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":"U.S. Department of Agriculture","keywords":"Cointegration; Softwood; Context (archaeology); Economics; Agricultural economics; International trade; International economics; Geography; Engineering; Pulp and paper industry; Econometrics","score_opus":0.009694348724763817,"score_gpt":0.21767100927201785,"score_spread":0.20797666054725403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314676431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97430146,0.000005933627,0.0006072459,0.0015590595,0.00008554996,0.0011218885,0.0000096175745,0.000008780857,0.022300482],"genre_scores_gemma":[0.997994,0.0000013323295,0.0006662135,0.0008093571,0.000018142558,0.00013046502,0.00000927023,0.000004577399,0.00036662314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998945,0.000016196977,0.00016594121,0.00021845043,0.00028411805,0.00037027345],"domain_scores_gemma":[0.99956036,0.00003180922,0.00006041327,0.00023998061,0.0000055778946,0.00010184284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005372563,0.000083933366,0.00008074002,0.000083160914,0.00017166759,0.000071198585,0.0005538087,0.000026776213,0.00022981629],"category_scores_gemma":[0.00005748548,0.000055813176,0.00003553188,0.00060361123,0.0006423235,0.00049707654,0.000045151497,0.000056916775,0.00008558363],"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":[0.000008252217,0.00017634434,0.76923615,0.000025559219,0.0000041645935,0.0000025902161,0.007691178,0.0059367586,0.0004869417,0.11627667,0.09261743,0.0075379824],"study_design_scores_gemma":[0.00030454155,0.000097827426,0.8709074,0.000009738265,0.0000067869423,0.0000066744733,0.00045918734,0.10687228,0.000049534014,0.00512812,0.015981406,0.00017647358],"about_ca_topic_score_codex":0.2814097,"about_ca_topic_score_gemma":0.33549774,"teacher_disagreement_score":0.11114855,"about_ca_system_score_codex":0.00010797261,"about_ca_system_score_gemma":0.000059099744,"threshold_uncertainty_score":0.72337544},"labels":[],"label_agreement":null},{"id":"W2317302876","doi":"10.5849/forsci.11-075","title":"Understanding Landowner Preferences for Woody Biomass Harvesting: A Choice Experiment-Based Approach","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","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":"Canadian Parks and Wilderness Society","funders":"","keywords":"Bioenergy; Biomass (ecology); Agroforestry; Business; Sustainability; Revenue; Woody plant; Forest management; Agricultural economics; Environmental science; Economics; Biofuel; Ecology; Waste management; Engineering","score_opus":0.3645597944377529,"score_gpt":0.26161142213280425,"score_spread":0.10294837230494863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317302876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73074645,0.00008568031,0.25528088,0.00015437193,0.00020448884,0.00052962796,0.00002137096,0.000032778928,0.01294437],"genre_scores_gemma":[0.99245477,0.0000021520316,0.0066333446,0.000094195406,0.000046884863,0.00025805747,0.000019630079,0.000010611639,0.00048032863],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888206,0.0000052015785,0.00028613588,0.00044949626,0.000051836094,0.00032528726],"domain_scores_gemma":[0.9994278,0.00006853907,0.00018789899,0.00020634844,0.000010999549,0.00009841409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054270664,0.00011029191,0.00015706294,0.00016212933,0.00029242857,0.00023231137,0.00031449468,0.00004268508,0.00018367874],"category_scores_gemma":[0.000110044304,0.00010616435,0.000048807186,0.00019533306,0.00029365515,0.0007446392,0.000046361063,0.000042162974,0.00025797705],"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":[0.0000049603445,0.000118850745,0.74505657,0.000028779023,0.000010390684,5.8864828e-8,0.00029881782,0.0074184425,0.0008554791,0.24549624,0.00060084445,0.00011058361],"study_design_scores_gemma":[0.0016823842,0.00023109974,0.36566576,0.000023798817,0.0000067044393,0.0000012616898,0.00067148067,0.49943125,0.0013585335,0.12853472,0.0017984388,0.00059457344],"about_ca_topic_score_codex":0.0005060376,"about_ca_topic_score_gemma":0.000023495502,"teacher_disagreement_score":0.4920128,"about_ca_system_score_codex":0.0002846734,"about_ca_system_score_gemma":0.00003105791,"threshold_uncertainty_score":0.43292564},"labels":[],"label_agreement":null},{"id":"W2317401215","doi":"10.5849/forsci.11-129","title":"Considering Spatial Correlations Between Binary Response Variables in Forestry: An Example Applied to Tree Harvest Modeling","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Centre de Géomatique du Québec","funders":"","keywords":"Copula (linguistics); Statistics; Mathematics; Correlation; Econometrics; Spatial dependence; Exponential function; Spatial correlation; Generalized linear model","score_opus":0.03031506621653107,"score_gpt":0.23676171902673065,"score_spread":0.20644665281019958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317401215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8866787,0.0000011509352,0.109684326,0.0002448498,0.00011580497,0.000636394,0.0000024915205,0.00005768008,0.0025785833],"genre_scores_gemma":[0.9907165,5.1697543e-7,0.008673706,0.00019850602,0.000028862114,0.00017766005,0.000008381237,0.0000129123455,0.00018292051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99805295,0.00005914039,0.00029500536,0.00063232513,0.000354164,0.0006063931],"domain_scores_gemma":[0.9990202,0.00015432533,0.00005849822,0.0004710763,0.000013311369,0.00028258582],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001254574,0.00015981098,0.000160032,0.00023498439,0.00047166992,0.00012225495,0.0006301226,0.000071428694,0.00051942497],"category_scores_gemma":[0.00017189136,0.00015733606,0.000020486641,0.0008608425,0.00053942896,0.0010454665,0.00061301066,0.00014965494,0.00092172215],"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":[0.000034313227,0.00005077848,0.20096011,0.0000018500099,0.0000016105098,0.000004587598,0.00052848674,0.77959293,0.0016572644,0.016604329,0.00015470387,0.00040901706],"study_design_scores_gemma":[0.00020069015,0.00011471666,0.67746043,0.000008877167,0.000004280541,0.0000012784586,0.00015653919,0.29253137,0.000044096585,0.029167317,0.00014460608,0.00016580413],"about_ca_topic_score_codex":0.013922008,"about_ca_topic_score_gemma":0.013414944,"teacher_disagreement_score":0.4870616,"about_ca_system_score_codex":0.00023349655,"about_ca_system_score_gemma":0.00006916997,"threshold_uncertainty_score":0.9998562},"labels":[],"label_agreement":null},{"id":"W2319014419","doi":"10.5849/forsci.12-090","title":"A Robust Model for Protecting Road-Building and Harvest-Scheduling Decisions from Timber Estimate Errors","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Insight Electronics (Canada); Western Forest Products; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Mathematical optimization; Scheduling (production processes); Computer science; Budget constraint; Constraint (computer-aided design); Operations research; Mathematics; Economics","score_opus":0.13463662354985573,"score_gpt":0.3824254790778019,"score_spread":0.24778885552794616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319014419","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.457084,0.00001614069,0.54213744,0.00014650292,0.00015527151,0.0002365224,0.000008857628,0.000034903645,0.00018035091],"genre_scores_gemma":[0.58986646,0.0000069636226,0.40981686,0.000051566723,0.000050770457,0.000030121735,0.0000020002362,0.000010197435,0.00016509167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968179,0.00006263308,0.0005622193,0.00092672306,0.001140275,0.0004902435],"domain_scores_gemma":[0.9969821,0.0013825403,0.00032513833,0.00058359286,0.00044910854,0.00027753232],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.006204969,0.00017966727,0.00025643423,0.00038124423,0.0014747399,0.0010007918,0.00091001164,0.00007862538,0.000013513286],"category_scores_gemma":[0.019003028,0.00013519493,0.00007085359,0.0011675225,0.0004045957,0.0015322063,0.0002793052,0.00015694548,0.000028494183],"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":[0.000012709112,0.000010201715,0.0044157663,6.626352e-7,0.0000012989155,4.1549308e-7,0.00043255542,0.9681703,0.00056206953,0.0054035904,0.00005296268,0.02093751],"study_design_scores_gemma":[0.00021599005,0.0000322063,0.0060462556,0.000038209837,0.000008239045,0.0000050067033,0.00007734464,0.8539212,0.00015921211,0.13918678,0.0001472903,0.00016226835],"about_ca_topic_score_codex":0.000146394,"about_ca_topic_score_gemma":0.00022793883,"teacher_disagreement_score":0.1337832,"about_ca_system_score_codex":0.00003334973,"about_ca_system_score_gemma":0.0001769664,"threshold_uncertainty_score":0.9998252},"labels":[],"label_agreement":null},{"id":"W2319548446","doi":"10.5849/forsci.10-118","title":"Modeling the Long-Term Impacts of Logging on Genetic Diversity and Demography of <i>Hymenaea courbaril</i>","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Conservation, Biodiversity, and Resource Management","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 Manitoba","funders":"","keywords":"Logging; Sustainable forest management; Sustainability; Amazon rainforest; Salvage logging; Forest management; Geography; Agroforestry; Ecology; Forestry; Environmental science; Biology; Forest ecology; Ecosystem","score_opus":0.012823637646573533,"score_gpt":0.19111113848310127,"score_spread":0.17828750083652772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319548446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979848,0.000033315388,0.0011473431,0.00016211334,0.00003566535,0.00019535657,0.0000017251051,0.0000069834205,0.00043269378],"genre_scores_gemma":[0.9996506,0.000031964028,0.00015102935,0.00013695196,0.0000045643646,0.0000010927301,2.9552604e-7,0.0000015454735,0.000021978642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908876,0.00001492805,0.00010463021,0.00019286368,0.0004164896,0.00018231233],"domain_scores_gemma":[0.9996104,0.00002559128,0.00006819152,0.00020669817,0.00001863029,0.00007045609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027431862,0.000068750895,0.0000712944,0.00006523593,0.0007291105,0.00002426139,0.0004423515,0.00001652732,0.00006334619],"category_scores_gemma":[0.000017091557,0.000046426136,0.0000306177,0.00032973808,0.0010724132,0.00016393958,0.0012723831,0.000041716616,0.000011965977],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031331356,0.00002207096,0.9692432,0.000008826247,0.000002902302,4.4246752e-7,0.0007110623,0.02891863,0.0005938482,0.000026020716,0.00002271457,0.00044714124],"study_design_scores_gemma":[0.00010001872,0.000049440998,0.9485488,0.000014752719,0.000011178559,6.706472e-7,0.00013232847,0.050606072,0.00012230393,0.0003555284,0.0000043809923,0.00005451037],"about_ca_topic_score_codex":0.0026893374,"about_ca_topic_score_gemma":0.00019772825,"teacher_disagreement_score":0.021687442,"about_ca_system_score_codex":0.000028982706,"about_ca_system_score_gemma":0.0000068893532,"threshold_uncertainty_score":0.5607802},"labels":[],"label_agreement":null},{"id":"W2320063908","doi":"10.5849/forsci.12-124","title":"A Spatial Stochastic Programming Model for Timber and Core Area Management Under Risk of Fires","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":"Bell (Canada)","funders":"","keywords":"Stochastic programming; Monte Carlo method; Stochastic modelling; Replicate; Sample (material); Computer science; Scheduling (production processes); Mathematical optimization; Mathematics; Statistics","score_opus":0.018756599938381958,"score_gpt":0.24849208218148153,"score_spread":0.22973548224309956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320063908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58559614,0.00000442178,0.41060475,0.000048575675,0.000048017504,0.00045637647,0.0000054432867,0.000021289006,0.0032149963],"genre_scores_gemma":[0.9864904,0.0000027951342,0.011846156,0.000044792523,0.000017422786,0.00005241403,0.0000024477345,0.000008057463,0.0015354881],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988547,0.0000073117812,0.00014357203,0.0003214144,0.00033772242,0.00033528943],"domain_scores_gemma":[0.9995132,0.000045047236,0.000100238554,0.00023664102,0.000009895648,0.000094982985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048647122,0.000110005996,0.00010189936,0.00007016508,0.00023820988,0.000045403256,0.0003236753,0.000022228563,0.0000778249],"category_scores_gemma":[0.00006150861,0.00009054197,0.00003298435,0.000251019,0.00089439104,0.00020126322,0.0003387207,0.00004010906,0.00003697911],"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":[0.000022215001,0.0000431589,0.023543693,0.000027231745,0.0000068623767,2.7060392e-7,0.00035854426,0.9250901,0.000036052603,0.03636382,0.00063623226,0.013871846],"study_design_scores_gemma":[0.0002581805,0.00008937908,0.033785895,0.000015564718,0.000027937474,6.8068533e-7,0.000015041198,0.94526887,0.000004965949,0.020047717,0.00037456694,0.00011119891],"about_ca_topic_score_codex":0.0004635268,"about_ca_topic_score_gemma":0.00052002864,"teacher_disagreement_score":0.40089428,"about_ca_system_score_codex":0.000037974,"about_ca_system_score_gemma":0.000007321562,"threshold_uncertainty_score":0.36921945},"labels":[],"label_agreement":null},{"id":"W2320827122","doi":"10.5849/forsci.12-163","title":"An Estimator of Variance for Two-Stage Ratio Regression Estimators","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Estimator; Statistics; Bias of an estimator; Minimum-variance unbiased estimator; Stein's unbiased risk estimate; Efficiency; Efficient estimator; Mathematics; Variance (accounting); Mean squared error; Invariant estimator; Ratio estimator; Econometrics","score_opus":0.010342256399971462,"score_gpt":0.28986838736839116,"score_spread":0.2795261309684197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320827122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4550597,0.0000015891727,0.5416525,0.00009371578,0.00008739787,0.00019546846,0.000004499236,0.00003691525,0.0028682307],"genre_scores_gemma":[0.8884347,2.731173e-7,0.11124423,0.00004364515,0.000024149887,0.0000062340396,0.0000035582357,0.000007772699,0.00023541323],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886066,0.00002029234,0.00017310657,0.00036989534,0.00033194415,0.0002440848],"domain_scores_gemma":[0.9991363,0.00007290745,0.00012623351,0.00049168715,0.000026725611,0.00014613789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070529233,0.00009254229,0.00010730148,0.000040382918,0.00040646782,0.00004809391,0.00047134803,0.000026456457,0.00004687914],"category_scores_gemma":[0.00022584376,0.00007390268,0.000029062414,0.0004326308,0.00085086195,0.00037477427,0.00006447317,0.00004534947,0.000060316153],"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":[0.000023450479,0.00014829976,0.018869445,0.000017948863,0.0000017020568,4.799751e-7,0.00048803477,0.37728873,0.4278214,0.15624905,0.00078435335,0.018307101],"study_design_scores_gemma":[0.00019322042,0.00009769938,0.021509318,0.000020012458,0.0000043632263,0.0000029520206,0.000019158664,0.9454441,0.023490846,0.006807818,0.0022897373,0.000120795274],"about_ca_topic_score_codex":0.000206585,"about_ca_topic_score_gemma":0.000066013396,"teacher_disagreement_score":0.56815535,"about_ca_system_score_codex":0.000047093978,"about_ca_system_score_gemma":0.000038320508,"threshold_uncertainty_score":0.31350362},"labels":[],"label_agreement":null},{"id":"W2320866356","doi":"10.5849/forsci.15-014","title":"How Effective Is the United States-Canada Softwood Lumber Agreement 2006? An Econometric Study","year":2015,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":17,"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":"Softwood; International trade; Economics; Agricultural economics; Econometric model; Free trade agreement; International economics; Engineering; Pulp and paper industry; Free trade; Econometrics","score_opus":0.0167891585016824,"score_gpt":0.23959143421494924,"score_spread":0.22280227571326686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320866356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99091583,0.000008310984,0.00008319481,0.0012350444,0.00026357957,0.0009055451,0.000012830556,0.000023832215,0.006551827],"genre_scores_gemma":[0.99267477,0.0000023406571,0.000054299784,0.0012449286,0.000047967213,0.00006193677,0.000009033496,0.0000092092705,0.00589552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977581,0.00008274521,0.0001433773,0.00048619983,0.0009755049,0.0005540641],"domain_scores_gemma":[0.998853,0.000063622436,0.00009899448,0.00062117283,0.00003297325,0.0003302033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011929178,0.00017634609,0.00011789944,0.00018373114,0.000436334,0.0003275355,0.0011738801,0.000017568704,0.00047276836],"category_scores_gemma":[0.00013596298,0.00011881483,0.000025089246,0.0032512138,0.00065396394,0.0008095307,0.0005516899,0.00010856626,0.00055588206],"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":[0.00001732825,0.00032937352,0.768748,0.0000034519796,0.000020812766,0.000015972539,0.003970228,0.10551921,0.00000401353,0.00084583426,0.117555745,0.002970012],"study_design_scores_gemma":[0.0010803419,0.0012360611,0.68225265,0.000005718105,0.00004246976,0.000004259438,0.0030254452,0.114822045,0.000036873706,0.002040501,0.19490199,0.00055166526],"about_ca_topic_score_codex":0.5037963,"about_ca_topic_score_gemma":0.489566,"teacher_disagreement_score":0.086495385,"about_ca_system_score_codex":0.0006007943,"about_ca_system_score_gemma":0.000108976674,"threshold_uncertainty_score":0.7144925},"labels":[],"label_agreement":null},{"id":"W2325545095","doi":"10.5849/forsci.12-110","title":"The Adequacy of Falling Object Protection Design Criteria for Feller Bunchers","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Winter Sports Injuries and Performance","field":"Medicine","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":"Western Forest Products","funders":"","keywords":"Falling (accident); Impact; Deflection (physics); Impact energy; Range (aeronautics); Energy requirement; Stiffness; Mathematics; Simulation; Computer science; Environmental science; Statistics; Engineering; Physics; Structural engineering; Aerospace engineering; Classical mechanics","score_opus":0.04762169132239568,"score_gpt":0.32034209887343235,"score_spread":0.27272040755103666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325545095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51776314,0.00004690331,0.47911757,0.0007523276,0.0006655499,0.00081056287,0.0000011563535,0.00002781108,0.0008149862],"genre_scores_gemma":[0.9937524,0.000007942026,0.0054795947,0.00007293437,0.00015914247,0.000044787903,5.397848e-7,0.0000059951713,0.00047664592],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925876,0.00001003976,0.00016234869,0.00015032788,0.0002113981,0.00020711265],"domain_scores_gemma":[0.9994332,0.00006186631,0.00008261133,0.00022445178,0.00014765211,0.000050201586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001410626,0.000060748524,0.00009549839,0.000046742058,0.0003146093,0.00003546747,0.00017305103,0.000023142613,0.0000115107505],"category_scores_gemma":[0.00031564885,0.000036262867,0.000040608367,0.00020803293,0.0003717094,0.00013661066,0.000023952574,0.000060685234,0.000003938536],"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":[0.0080362065,0.0005612014,0.04677026,0.0015917714,0.00014067243,0.0000060595735,0.019221848,0.026671559,0.42817962,0.08281477,0.018602952,0.3674031],"study_design_scores_gemma":[0.0017377852,0.004475858,0.06654452,0.0005793848,0.00006282576,0.00004455647,0.00053725555,0.70678645,0.12815885,0.010961212,0.07974347,0.0003678026],"about_ca_topic_score_codex":0.000037882797,"about_ca_topic_score_gemma":0.000010584746,"teacher_disagreement_score":0.6801149,"about_ca_system_score_codex":0.000025016132,"about_ca_system_score_gemma":0.00010701211,"threshold_uncertainty_score":0.24197522},"labels":[],"label_agreement":null},{"id":"W2325604464","doi":"10.5849/forsci.10-092","title":"A Generalized Mixed Logistic Model for Predicting Individual Tree Survival Probability with Unequal Measurement Intervals","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":12,"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 Alberta","funders":"Forest Resource Improvement Association of Alberta; Government of Alberta","keywords":"Basal area; Statistics; Pinus contorta; Mathematics; Logistic regression; Deciduous; Tree (set theory); Random effects model; Range (aeronautics); Population; Generalized linear model; Forestry; Ecology; Demography; Geography; Biology","score_opus":0.08104302760424077,"score_gpt":0.2579523025625177,"score_spread":0.17690927495827696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325604464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.691641,0.0000037765099,0.30547285,0.00025111248,0.00018768237,0.0013485419,0.000008853155,0.000063452564,0.0010227469],"genre_scores_gemma":[0.9785505,6.043417e-7,0.020345084,0.00014483053,0.000022301427,0.00068201387,0.0000059877952,0.000011622252,0.00023704555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972519,0.000058308757,0.00030753762,0.0006831132,0.0010109749,0.0006881486],"domain_scores_gemma":[0.9991212,0.00006119594,0.00014335162,0.0004058215,0.000079726226,0.00018873386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027040413,0.00019740006,0.00019876602,0.000060316415,0.00047405445,0.00011775708,0.000843559,0.000053928645,0.0001884541],"category_scores_gemma":[0.00047396426,0.0001450319,0.000053019485,0.00037235187,0.001511634,0.0006210963,0.00051770214,0.0001020237,0.00010715222],"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":[0.00013040777,0.00036904425,0.13846934,0.00004407796,0.00003504791,0.0000022681088,0.0009388044,0.7494806,0.00077125884,0.10611413,0.00212086,0.0015241712],"study_design_scores_gemma":[0.00076630205,0.0004590656,0.2036303,0.00001711616,0.000034160417,0.0000013485815,0.00007239062,0.6958162,0.000118621574,0.0988063,0.0000506651,0.00022749385],"about_ca_topic_score_codex":0.0005052694,"about_ca_topic_score_gemma":0.009790947,"teacher_disagreement_score":0.28690952,"about_ca_system_score_codex":0.00035641965,"about_ca_system_score_gemma":0.000099064535,"threshold_uncertainty_score":0.5914229},"labels":[],"label_agreement":null},{"id":"W2327114424","doi":"10.5849/forsci.13-007","title":"Assessing Sampling and Model Error in Standing Green Weight Estimation for a Loblolly Pine Plantation","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Brock University","funders":"","keywords":"Loblolly pine; Statistics; Acre; Mathematics; Sampling (signal processing); Sampling error; Forestry; Tree (set theory); Mean squared error; Confidence interval; Standard error; Environmental science; Pinus <genus>; Agroforestry; Observational error; Geography; Biology; Botany; Computer science","score_opus":0.029611982062268186,"score_gpt":0.30337141078815755,"score_spread":0.2737594287258894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327114424","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4627852,0.0000017463992,0.53607434,0.00013288783,0.00004356257,0.0001554267,8.99962e-7,0.00001227811,0.00079365395],"genre_scores_gemma":[0.9446246,0.0000014752405,0.055155843,0.000092166476,0.000009503814,0.000028458751,0.0000044553376,0.0000042195065,0.00007928471],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991381,0.000011747191,0.00013714848,0.00028553754,0.00017914319,0.00024828003],"domain_scores_gemma":[0.99971443,0.00006650822,0.00006513143,0.00009641102,0.000006314861,0.000051198836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010064065,0.0000717132,0.00007548669,0.000094084324,0.00030700874,0.00007886871,0.0001531607,0.00002816686,0.000012649314],"category_scores_gemma":[0.00012611641,0.000065699955,0.000009952489,0.00025002184,0.00029635706,0.0010438298,0.000115980176,0.00004422094,0.000009629453],"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":[0.000014211746,0.00002034685,0.043905783,0.00001771272,7.9291385e-7,4.776122e-7,0.00034058912,0.8295399,0.0010341745,0.12267026,0.0000244095,0.002431362],"study_design_scores_gemma":[0.00020920609,0.000031472777,0.13968807,0.000015797219,0.0000031650914,0.000001265918,0.000022295111,0.70881695,0.000041627685,0.15107715,0.000030578565,0.00006241977],"about_ca_topic_score_codex":0.00011854054,"about_ca_topic_score_gemma":0.0012435359,"teacher_disagreement_score":0.4818394,"about_ca_system_score_codex":0.0001306875,"about_ca_system_score_gemma":0.0000156419,"threshold_uncertainty_score":0.26791662},"labels":[],"label_agreement":null},{"id":"W2327771323","doi":"10.5849/forsci.13-061","title":"Integrating Micro-Scale Timbering Events and Decisionmaking into Landscape Models Using Logistic and Multilevel Regression","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":"Canadian Water Network","funders":"","keywords":"Scale (ratio); Variance (accounting); Logistic regression; Multilevel model; Environmental resource management; Population; Tree (set theory); Regression analysis; Selection (genetic algorithm); Explained variation; Geography; Computer science; Statistics; Environmental science; Mathematics; Business; Cartography; Machine learning; Demography","score_opus":0.029952494472871252,"score_gpt":0.29356708953329114,"score_spread":0.2636145950604199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327771323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9444917,0.000027184906,0.05290453,0.000030903037,0.00008343372,0.00011008378,6.26784e-7,0.000023770604,0.0023277649],"genre_scores_gemma":[0.96037847,0.000009444386,0.039310254,0.00006997828,0.000028336952,0.0000030292824,8.0727455e-7,0.000008985402,0.00019071654],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987346,0.000024218458,0.00016805189,0.00042510827,0.00032120096,0.00032681547],"domain_scores_gemma":[0.9994889,0.000072298986,0.000086138134,0.00020730804,0.0000083737505,0.00013697101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065210945,0.00014018941,0.000117918426,0.00009871259,0.0005652211,0.00011601162,0.0002938503,0.000037065834,0.00005762136],"category_scores_gemma":[0.00016592501,0.0001063461,0.000016753187,0.00024826388,0.0005344918,0.0006981373,0.00080742413,0.000089292706,0.000034461806],"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":[0.0000294408,0.000050638824,0.66842395,0.000049831324,0.000004079747,0.0000051991415,0.004032391,0.21797942,0.04046537,0.00857989,0.00028788988,0.06009191],"study_design_scores_gemma":[0.00016169778,0.000026791973,0.035623793,0.00011855615,0.0000055330393,0.0000094417355,0.000035855504,0.9474989,0.00010432887,0.016134499,0.00013443823,0.00014615753],"about_ca_topic_score_codex":0.0005817167,"about_ca_topic_score_gemma":0.00021190647,"teacher_disagreement_score":0.7295195,"about_ca_system_score_codex":0.000057661447,"about_ca_system_score_gemma":0.0000075361077,"threshold_uncertainty_score":0.43472812},"labels":[],"label_agreement":null},{"id":"W2328958265","doi":"10.5849/forsci.11-117","title":"Effects of Branch Pruning and Seedling Size on Total Transpiration and Tissue Na and Cl Accumulation in <i>Pinus leiophylla</i> Seedlings Exposed to Salinity","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological 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 Alberta","funders":"","keywords":"Transpiration; Seedling; Shoot; Pruning; Horticulture; Stomatal conductance; Salinity; Chemistry; Botany; Agronomy; Biology; Photosynthesis; Ecology","score_opus":0.01449992245996628,"score_gpt":0.2351279995833215,"score_spread":0.22062807712335522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328958265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99922353,0.00007712443,0.00004241702,0.00021676577,0.00003415445,0.00036033668,0.0000066831653,0.00001204851,0.000026928283],"genre_scores_gemma":[0.9996692,0.000019646082,0.0001549678,0.00010191132,0.000023705417,0.000010886507,0.0000016033276,6.196738e-7,0.000017445787],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991979,0.000032649426,0.00014382103,0.00027119313,0.00017458403,0.00017988126],"domain_scores_gemma":[0.9992958,0.0004954287,0.000051617353,0.00002785887,0.00003500211,0.00009430871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002095596,0.00008999571,0.00012766708,0.00002740143,0.00016580787,0.000091885435,0.000077775134,0.000042435353,0.0000030926265],"category_scores_gemma":[0.0001833328,0.000043678858,0.000009146057,0.000322569,0.00013208491,0.00033018278,0.00003455391,0.000060795737,0.0000012256503],"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":[0.00004674763,0.00001672901,0.030283522,0.000021414453,5.2383996e-7,0.0000011577423,0.00035689672,0.00045940347,0.9453676,0.0000898546,7.644299e-7,0.023355437],"study_design_scores_gemma":[0.0001935385,0.00034587758,0.9309551,0.00011066523,0.0000017694657,0.0000045025918,0.00002796336,0.0049183574,0.06306004,0.00027656872,0.000011700012,0.00009392783],"about_ca_topic_score_codex":0.00046138157,"about_ca_topic_score_gemma":0.00027431356,"teacher_disagreement_score":0.9006716,"about_ca_system_score_codex":0.000007816218,"about_ca_system_score_gemma":0.000006891156,"threshold_uncertainty_score":0.17811722},"labels":[],"label_agreement":null},{"id":"W2329415024","doi":"10.5849/forsci.14-206","title":"Models of the Vertical Distribution of Sapwood Area for Lodgepole Pine and Western Hemlock in Western Canada","year":2015,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Forests; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Pinus contorta; Crown (dentistry); Western Hemlock; Mathematics; Tree (set theory); Environmental science; Forestry; Botany; Biology; Geography","score_opus":0.01565835774110774,"score_gpt":0.21663782687467698,"score_spread":0.20097946913356923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329415024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99063194,0.000009167911,0.008350684,0.00045333628,0.000098634024,0.00022704009,0.00001232015,0.000002358295,0.00021450514],"genre_scores_gemma":[0.99975806,0.0000011101997,0.000049718714,0.00006695085,0.000003322105,0.000012457616,0.0000021897579,0.000001984735,0.00010418304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920607,0.000012375,0.0001515119,0.00016869715,0.00026532146,0.00019600785],"domain_scores_gemma":[0.99967444,0.000025739664,0.000043136737,0.00017195177,0.000015042443,0.00006968564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035065398,0.000056333367,0.00009110184,0.000013801223,0.000055379376,0.00000597393,0.0002958576,0.000021581684,0.0000037129116],"category_scores_gemma":[0.000087766224,0.000040041246,0.000011949803,0.00022907955,0.0007411275,0.00017891535,0.0002983785,0.000035739115,9.829008e-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":[0.000032016276,0.00008155252,0.8613887,0.000014985728,0.000001937964,8.667619e-7,0.00022134466,0.11489295,0.00016364786,0.02240982,0.00072115357,0.000071066584],"study_design_scores_gemma":[0.00041739235,0.00011982781,0.93182254,0.00001794178,0.0000062561894,0.000002497643,0.000054852233,0.04717977,0.0009743026,0.019081095,0.00025494065,0.00006858786],"about_ca_topic_score_codex":0.044651937,"about_ca_topic_score_gemma":0.63098687,"teacher_disagreement_score":0.58633494,"about_ca_system_score_codex":0.00015918139,"about_ca_system_score_gemma":0.000109857465,"threshold_uncertainty_score":0.9617098},"labels":[],"label_agreement":null},{"id":"W2330267254","doi":"10.5849/forsci.12-004","title":"Competitive Advantage of Black Spruce Over Balsam Fir in Coniferous Boreal Forests of Eastern North America Revealed by Site Index","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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 Natural Resources and Wildlife; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Balsam; Abies balsamea; Black spruce; Taiga; Dominance (genetics); Boreal; Forestry; Environmental science; Geography; Ecology; Botany; Biology","score_opus":0.0032640227562727446,"score_gpt":0.21298389790260017,"score_spread":0.20971987514632742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330267254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98080885,0.0000070586666,0.003918014,0.000051059968,0.00007865095,0.00033654747,0.000034079123,0.000013566347,0.014752188],"genre_scores_gemma":[0.9991287,0.00001174514,0.00026618812,0.00020000203,0.00000844999,0.000012685676,0.00001647797,0.000008582635,0.0003471441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812627,0.00006109868,0.0003765557,0.00045758902,0.00051625003,0.00046221906],"domain_scores_gemma":[0.99908185,0.00010283118,0.00028519257,0.00038420936,0.000022054763,0.00012384343],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00045764082,0.00016426253,0.00028884684,0.00010957111,0.0000780785,0.000012410565,0.0006572045,0.000049966664,0.00026479212],"category_scores_gemma":[0.0001018162,0.00014972246,0.000046259516,0.0007587498,0.0031953715,0.00038257721,0.0005104159,0.00012228003,0.00016331978],"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":[0.000049062754,0.00014089697,0.9777708,0.00001886318,0.000003333024,0.000005286585,0.00025884324,0.010370645,0.00045766673,0.01007087,0.00049593195,0.00035778465],"study_design_scores_gemma":[0.0005381548,0.00032072436,0.9734044,0.000029084105,0.000006230378,0.000001052692,0.00009541663,0.02197883,0.000113263566,0.0020106025,0.0013504724,0.00015173477],"about_ca_topic_score_codex":0.001699298,"about_ca_topic_score_gemma":0.022214785,"teacher_disagreement_score":0.020515487,"about_ca_system_score_codex":0.00010796775,"about_ca_system_score_gemma":0.000027702657,"threshold_uncertainty_score":0.9995174},"labels":[],"label_agreement":null},{"id":"W2332912760","doi":"10.5849/forsci.12-016","title":"Mass and Nutrient Loss of Leaf Litter Collecting in Littertraps: An In Situ and Ex Situ Study","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Nutrient; Maple; Plant litter; Beech; In situ; Chemistry; Aceraceae; Agronomy; Botany; Horticulture; Biology","score_opus":0.021313680011076926,"score_gpt":0.22665030664332586,"score_spread":0.20533662663224894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332912760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987943,0.000045200755,3.855911e-7,0.00055649027,0.0000383863,0.00033762088,0.0000025583963,0.000007686349,0.00021732709],"genre_scores_gemma":[0.99978375,0.000019384155,0.000040779647,0.00008317777,0.000013740679,0.00000897336,8.738702e-7,2.3355659e-7,0.000049097252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990714,0.000044239918,0.00015234006,0.00032387118,0.00014346333,0.00026467946],"domain_scores_gemma":[0.9996969,0.0001005473,0.0000489651,0.00004186956,0.000047941317,0.00006378208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004454884,0.000083932835,0.00014921278,0.000052609717,0.00023320022,0.000054349908,0.00019998617,0.000042165128,0.000024139146],"category_scores_gemma":[0.00006244004,0.00003674614,0.000011449034,0.00065293326,0.0006372732,0.00037479578,0.00018184443,0.000082075894,0.0000051113284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013298902,0.00015523098,0.9808702,0.0000047573963,0.000001437602,0.0000070690935,0.0015963011,0.0000029168868,0.01686243,0.00011412368,0.000021801236,0.00035042246],"study_design_scores_gemma":[0.00023093219,0.00063858123,0.99160385,0.000013410725,0.0000022631825,0.0000025591883,0.0051038493,0.00006859901,0.00037631314,0.0018581486,0.000016253296,0.00008521156],"about_ca_topic_score_codex":0.0011915852,"about_ca_topic_score_gemma":0.017142097,"teacher_disagreement_score":0.016486118,"about_ca_system_score_codex":0.000020470341,"about_ca_system_score_gemma":0.000007886126,"threshold_uncertainty_score":0.9565692},"labels":[],"label_agreement":null},{"id":"W2333848515","doi":"10.5849/forsci.12-088","title":"Estimating Forest Stand Age from LiDAR-Derived Predictors and Nearest Neighbor Imputation","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Ministère des Ressources naturelles et des Forêts; Université du Québec à Montréal; University of British Columbia","funders":"","keywords":"Lidar; Environmental science; Forest inventory; Forest management; Topographic Wetness Index; Taiga; Physical geography; Geography; Digital elevation model; Remote sensing; Forestry; Agroforestry","score_opus":0.007026259296463669,"score_gpt":0.22567925924866902,"score_spread":0.21865299995220536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333848515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88074076,0.0000076428805,0.11571453,0.00013301324,0.00013166883,0.00015821704,0.000006710879,0.000071667266,0.0030357817],"genre_scores_gemma":[0.9613386,0.0000022120537,0.038420487,0.00006957011,0.0000832814,0.0000033934666,0.000011146102,0.000011432187,0.00005990712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857134,0.000027979067,0.00018130899,0.00048499985,0.00042193918,0.0003124372],"domain_scores_gemma":[0.9992417,0.00012168547,0.00009798312,0.00031767672,0.000015768299,0.00020517583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003878497,0.0001276011,0.000110694564,0.000043720444,0.0006009873,0.00024533184,0.0002854752,0.00004251444,0.00004070421],"category_scores_gemma":[0.00022147794,0.00011178536,0.000021306094,0.00040854616,0.0011189781,0.00040602346,0.00014626177,0.00009768681,0.00010580692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022150978,0.00008725245,0.6149634,0.0000151775785,0.000008575622,0.000009413136,0.00504139,0.24771842,0.07597,0.0034699077,0.0006257294,0.052068543],"study_design_scores_gemma":[0.00012897224,0.000041822357,0.5640589,0.000017179993,0.0000061196642,0.0000031901222,0.000035686186,0.42638463,0.0003243926,0.008308318,0.0005813601,0.000109450455],"about_ca_topic_score_codex":0.0012466445,"about_ca_topic_score_gemma":0.00069839484,"teacher_disagreement_score":0.17866619,"about_ca_system_score_codex":0.00008005248,"about_ca_system_score_gemma":0.00002642881,"threshold_uncertainty_score":0.4622369},"labels":[],"label_agreement":null},{"id":"W2334038437","doi":"10.5849/forsci.13-105","title":"Structural and Spatial Characteristics of Old-Growth Temperate Deciduous Forests at Their Northern Distribution Limit","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological 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":"Université du Québec en Outaouais; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Temperate deciduous forest; Deciduous; Temperate forest; Ecology; Temperate rainforest; Forest dynamics; Forest management; Temperate climate; Forest ecology; Context (archaeology); Range (aeronautics); Old-growth forest; Geography; Diameter at breast height; Ecosystem; Biology","score_opus":0.010441629025402393,"score_gpt":0.18151653402642196,"score_spread":0.17107490500101957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334038437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999095,0.000013531651,0.000017550361,0.00038283775,0.00015533407,0.000102076396,0.00018068613,0.000021736903,0.000031247],"genre_scores_gemma":[0.99971807,0.000014419682,0.000010834885,0.000065202104,0.00008056151,0.0000022700992,0.000075961056,3.90953e-7,0.00003230845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909574,0.00002689962,0.00014626312,0.00027332708,0.00017917436,0.0002785776],"domain_scores_gemma":[0.999417,0.000111256086,0.000114477116,0.00005277695,0.00021801241,0.0000864501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024500093,0.00011739457,0.00016403066,0.000011213725,0.0008154769,0.000036186044,0.0002829889,0.000060816226,0.000021763362],"category_scores_gemma":[0.0002912732,0.000044631106,0.00003762237,0.0002212612,0.0010655124,0.00013422276,0.0003043521,0.000059641286,0.000013419369],"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":[0.000030508596,0.000011888681,0.99064714,0.0000040993386,0.0000035813343,6.6552394e-7,0.000076808916,0.0000043625505,0.0037317772,0.0010531367,0.000029079218,0.0044069295],"study_design_scores_gemma":[0.000093069706,0.0003236533,0.99584776,0.000007953601,0.0000068342893,0.0000071628774,0.00004246961,0.0010064344,0.0011079101,0.0013222657,0.00012641684,0.00010808161],"about_ca_topic_score_codex":0.00063869514,"about_ca_topic_score_gemma":0.02268094,"teacher_disagreement_score":0.022042245,"about_ca_system_score_codex":0.000034802037,"about_ca_system_score_gemma":0.000009008365,"threshold_uncertainty_score":0.9951526},"labels":[],"label_agreement":null},{"id":"W2334135602","doi":"10.5849/forsci.13-719","title":"Using Modeled Surface and Crown Fire Behavior Characteristics to Evaluate Fuel Treatment Effectiveness: A Caution","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","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 Alberta","funders":"","keywords":"Pinus contorta; Crown (dentistry); Environmental science; Thinning; Wind speed; Pinus <genus>; Atmospheric sciences; Meteorology; Forestry; Geology; Geography; Biology; Materials science; Botany","score_opus":0.022268269730732884,"score_gpt":0.2832330216203933,"score_spread":0.26096475188966045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334135602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931748,0.000011609941,0.005508436,0.000020828458,0.00025997226,0.0008625569,0.00001025619,0.000045487526,0.000106081614],"genre_scores_gemma":[0.9984128,0.0000027813217,0.0014166432,0.000024707284,0.000024568593,0.0000596116,0.0000021740389,0.000014213515,0.000042515552],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982017,0.00013801988,0.0001714319,0.0005809286,0.0004846872,0.00042322066],"domain_scores_gemma":[0.99919826,0.00009648108,0.00008167047,0.00035151764,0.000023787587,0.00024831272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012491076,0.00018937259,0.00020921628,0.00003982717,0.0003647701,0.00012351254,0.0002442449,0.00004591977,0.0000336538],"category_scores_gemma":[0.00015103654,0.00015624217,0.000030027133,0.00044080388,0.00035618467,0.00042083365,0.00019083351,0.000049595405,0.00019103392],"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":[0.00008434652,0.00020333503,0.5545847,0.0000533849,0.000005894114,0.000013350563,0.0011250982,0.0999228,0.327159,0.00023600791,0.000011796336,0.016600309],"study_design_scores_gemma":[0.00022612695,0.0002861275,0.44400007,0.0000348902,0.000019145036,0.000014508317,0.0000053408608,0.5538993,0.001244168,0.0000728992,0.00005539607,0.00014207518],"about_ca_topic_score_codex":0.0025073984,"about_ca_topic_score_gemma":0.0003380314,"teacher_disagreement_score":0.45397648,"about_ca_system_score_codex":0.00076029316,"about_ca_system_score_gemma":0.000040592895,"threshold_uncertainty_score":0.63713706},"labels":[],"label_agreement":null},{"id":"W2335462407","doi":"10.5849/forsci.11-037","title":"Comparing Measured Duff Moisture with a Water Budget Model and the Duff and Drought Codes of the Canadian Fire Weather Index","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","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":"Dalhousie University; University of Calgary","funders":"","keywords":"Moisture; Environmental science; Water content; Precipitation; Picea engelmannii; Atmospheric sciences; Hydrology (agriculture); Pinus contorta; Meteorology; Forestry; Geography; Geology","score_opus":0.005611664623816477,"score_gpt":0.16963342944542736,"score_spread":0.16402176482161088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335462407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958613,0.000034772318,0.0000909293,0.0009993117,0.000043033127,0.00055019284,0.0000027082406,0.000008940974,0.002408838],"genre_scores_gemma":[0.9994274,0.0000014530331,0.00009775128,0.00015786401,0.0000074427203,0.00003750746,2.822789e-7,0.000008162445,0.00026216815],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869657,0.00005157545,0.0001191607,0.00028513029,0.0004917345,0.00035582212],"domain_scores_gemma":[0.9993816,0.000036062702,0.000054760494,0.00035433492,0.000022012542,0.0001512303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071314414,0.00012391058,0.00015161294,0.000024151084,0.0006075872,0.00014959899,0.00052093726,0.000040185707,0.000025923586],"category_scores_gemma":[0.000040895848,0.000050691528,0.000017411912,0.00023998998,0.0026187894,0.0003660936,0.00023230167,0.00012398444,0.000018665849],"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":[0.00001589331,0.00001246654,0.95662487,0.000015990552,0.000006684591,0.0000010474758,0.0035637938,0.036011536,0.0024281167,0.0008686721,0.00025905744,0.0001918937],"study_design_scores_gemma":[0.0002864106,0.000015998068,0.43821794,0.00002817006,0.000005488338,0.0000133717285,0.000055961715,0.55996567,0.00026846543,0.0010093123,0.000052543597,0.00008067173],"about_ca_topic_score_codex":0.31694126,"about_ca_topic_score_gemma":0.6783762,"teacher_disagreement_score":0.5239541,"about_ca_system_score_codex":0.00011001349,"about_ca_system_score_gemma":0.00005262036,"threshold_uncertainty_score":0.9649039},"labels":[],"label_agreement":null},{"id":"W2355098026","doi":"10.1093/forestscience/49.3.429","title":"Combining High-Resolution Aerial Photography with Gradient-Directed Transects to Guide Field Sampling and Forest Mapping in Mountainous Terrain","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Aerial photography; Transect; Remote sensing; Sampling (signal processing); Photography; Field (mathematics); Aerial survey; Vegetation (pathology); Terrain; Geography; Cartography; Computer science; Geology; Computer vision","score_opus":0.019554659970516714,"score_gpt":0.2378703982836583,"score_spread":0.21831573831314158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355098026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98998344,0.00001239027,0.005531323,0.00015184327,0.00015904167,0.00032971968,0.000008178972,0.00006208251,0.0037619772],"genre_scores_gemma":[0.99783957,0.000007344514,0.0017558059,0.00030996895,0.000009587931,0.000041075866,0.000008390503,0.000007807365,0.000020466052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836284,0.000031687778,0.00019874882,0.00046503328,0.0003797398,0.0005619677],"domain_scores_gemma":[0.99949735,0.000052687734,0.000052245872,0.0001841487,0.000015969834,0.00019760118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049908913,0.00014828192,0.0001382086,0.00016754026,0.0003617329,0.00010845429,0.00023252121,0.00004502139,0.0005420797],"category_scores_gemma":[0.00015406629,0.00013291945,0.000022985909,0.0015131492,0.00041162912,0.00028347285,0.0000686746,0.000099027755,0.000022121914],"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":[0.00011511703,0.00015844239,0.90568423,0.000016552638,0.0000051862153,0.000022914512,0.0044106925,0.00896919,0.05749995,0.02223365,0.00034103336,0.0005430248],"study_design_scores_gemma":[0.0010954468,0.00040426705,0.9867942,0.000079602345,0.000005828945,0.000036509053,0.002328121,0.0018926503,0.0026023772,0.0010571658,0.0033198074,0.0003840479],"about_ca_topic_score_codex":0.0043396973,"about_ca_topic_score_gemma":0.021750055,"teacher_disagreement_score":0.081109926,"about_ca_system_score_codex":0.00034867044,"about_ca_system_score_gemma":0.000026241198,"threshold_uncertainty_score":0.9961005},"labels":[],"label_agreement":null},{"id":"W2396727245","doi":"10.1093/forestscience/52.4.422","title":"Incidence of the 1996 U.S.–Canada Softwood Lumber Agreement among Landowners, Loggers, and Lumber Manufacturers in the U.S. South","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Forest Service; Auburn University","keywords":"Softwood; Beneficiary; Agricultural economics; Logging; Business; Agricultural science; Forestry; Economics; Geography; Pulp and paper industry; Engineering; Environmental science; Finance","score_opus":0.0031617006650381595,"score_gpt":0.17842440593887232,"score_spread":0.17526270527383417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396727245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98505074,0.000015906438,0.00001643071,0.000594979,0.00011935467,0.00031472195,0.0000058656306,0.0000062361514,0.013875763],"genre_scores_gemma":[0.99817634,0.0000032590458,0.000074838725,0.00050816673,0.000027002041,0.000012942466,0.0000017098544,0.0000046888467,0.001191031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99810284,0.000047708814,0.0002148779,0.00032149506,0.00089280005,0.00042025308],"domain_scores_gemma":[0.99932575,0.000048936097,0.00013174461,0.0004330733,0.0000064953038,0.000053975236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006830295,0.00013829654,0.000108065025,0.000041920077,0.00027245577,0.00006359298,0.0010007446,0.000028731341,0.0002246925],"category_scores_gemma":[0.00004572773,0.00007701409,0.00003307153,0.000717807,0.001732473,0.00028591062,0.0004479173,0.00013191692,0.000030588897],"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":[0.0000026655935,0.000015248064,0.9806339,0.000004582286,0.000001166499,0.000003912241,0.00046635253,0.010388085,0.000039240847,0.0011481686,0.0071685915,0.00012808538],"study_design_scores_gemma":[0.00017935481,0.000013764214,0.9944844,0.000014787928,0.0000076256206,0.000002906673,0.00012397199,0.001428002,0.00008401443,0.0012068255,0.0023385226,0.000115774026],"about_ca_topic_score_codex":0.5803535,"about_ca_topic_score_gemma":0.83149624,"teacher_disagreement_score":0.25114274,"about_ca_system_score_codex":0.00013277573,"about_ca_system_score_gemma":0.00006629748,"threshold_uncertainty_score":0.6383369},"labels":[],"label_agreement":null},{"id":"W2405350538","doi":"10.1093/forestscience/49.4.566","title":"Modeling Tree Mortality Following Wildfire in the Southeastern Canadian Mixed-Wood Boreal Forest","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Canadian Forest Service","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Éducation, du Loisir et du Sport Québec","keywords":"Taiga; Boreal; Forestry; Environmental science; Geography; Agroforestry; Forest health; Woody plant; Ecology; Archaeology; Biology","score_opus":0.013114315534744894,"score_gpt":0.22706922643009422,"score_spread":0.21395491089534932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405350538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97117764,0.000022906808,0.00079486874,0.00011967888,0.00046392198,0.00046190573,0.000004677894,0.000028031898,0.026926387],"genre_scores_gemma":[0.9995021,6.5923354e-7,0.00017032702,0.00019313073,0.000028223703,0.000047817055,0.00000314043,0.000016496815,0.000038105016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99695957,0.00016087803,0.00030233484,0.0006112215,0.0009723329,0.0009936813],"domain_scores_gemma":[0.9988368,0.00006299791,0.000054856817,0.0007050294,0.00000482957,0.00033546783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003075177,0.00021252628,0.00017972352,0.0001270646,0.00055920705,0.0001917582,0.0012354135,0.00007043088,0.000018479728],"category_scores_gemma":[0.0003150927,0.00015805248,0.00009035028,0.0012290844,0.0003629513,0.00071702007,0.00008491053,0.00021480765,0.00025944735],"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":[0.0000013783862,0.000029516665,0.96056724,0.0000027791846,0.0000023453586,0.00004773686,0.0010921613,0.036334977,0.000066807224,0.0012740178,0.00003461848,0.00054644136],"study_design_scores_gemma":[0.00019396415,0.00003888075,0.52590674,0.00003036546,0.000007699948,0.000019625784,0.0005228576,0.47081083,0.0000183901,0.0020439478,0.00019240534,0.00021426806],"about_ca_topic_score_codex":0.47176328,"about_ca_topic_score_gemma":0.9626927,"teacher_disagreement_score":0.49092942,"about_ca_system_score_codex":0.0003704855,"about_ca_system_score_gemma":0.0002029016,"threshold_uncertainty_score":0.6445193},"labels":[],"label_agreement":null},{"id":"W2408304094","doi":"10.5849/forsci.13-071","title":"Analyzing the Uncertainties in Use of Forest-Derived Biomass Equations for Open-Grown Trees in Agricultural Land","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Brandon University; Campbell Scientific (Canada)","funders":"","keywords":"Biomass (ecology); Environmental science; Tree (set theory); Agroforestry; Forest inventory; Mathematics; Forestry; Ecology; Biology; Forest management; Geography","score_opus":0.024505268803357547,"score_gpt":0.25152632247157614,"score_spread":0.2270210536682186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408304094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98398596,0.0000066165553,0.014072544,0.00065879483,0.00008493172,0.000575036,0.0000032983753,0.0000073806946,0.0006054155],"genre_scores_gemma":[0.99860317,0.0000028804016,0.0010483988,0.000056013116,0.000007272631,0.000103379905,0.0000047864073,0.0000030678707,0.00017101117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989981,0.000045107885,0.00021781259,0.00026862527,0.00015823859,0.00031209044],"domain_scores_gemma":[0.99932593,0.00030350665,0.0000979364,0.00022093192,0.000013917704,0.000037794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009897897,0.00008760163,0.00012476403,0.00009990347,0.00023851787,0.00009253951,0.000822881,0.00003016166,0.000035020883],"category_scores_gemma":[0.00051480444,0.00005335168,0.000028965149,0.000852379,0.0009177756,0.0007652949,0.00048314896,0.00005268602,0.000011772829],"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":[0.000014671232,0.000050858573,0.71664405,0.000003633592,0.0000021400508,3.8540333e-7,0.00035428823,0.18101561,0.0014142445,0.100141525,0.0001666198,0.00019198205],"study_design_scores_gemma":[0.00031223346,0.000081809136,0.9154266,0.000013632504,0.0000045322527,3.4790622e-7,0.00013452885,0.05214444,0.00018756883,0.031366702,0.00024681026,0.000080755286],"about_ca_topic_score_codex":0.0044401693,"about_ca_topic_score_gemma":0.18611741,"teacher_disagreement_score":0.1987826,"about_ca_system_score_codex":0.00009757696,"about_ca_system_score_gemma":0.000018764016,"threshold_uncertainty_score":0.8287338},"labels":[],"label_agreement":null},{"id":"W2416189213","doi":"10.1093/forestscience/52.4.340","title":"Competitiveness in the Sawmills and Wood Preservation Industry in the United States and Canada","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":9,"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":"Agricultural economics; Business; Forestry; Environmental protection; Agroforestry; Natural resource economics; Environmental science; Geography; Economics","score_opus":0.007741402451843699,"score_gpt":0.2111632017577571,"score_spread":0.2034217993059134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416189213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936604,0.000008669705,0.0000056902013,0.0023093196,0.000016397153,0.00016857222,0.0000032837156,0.000002586515,0.0038251074],"genre_scores_gemma":[0.9987791,0.0000097547545,0.000017531594,0.000976627,0.000009998812,0.000010781459,0.000007849303,0.0000015837558,0.00018676283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922466,0.000051958094,0.00008435024,0.00014265392,0.00030294817,0.00019343094],"domain_scores_gemma":[0.999731,0.00009855405,0.000026520085,0.00012159846,0.0000034657512,0.00001887505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006398208,0.000057075576,0.00003888991,0.000055803885,0.00015408314,0.000088199406,0.00036004357,0.000026064496,0.000036919082],"category_scores_gemma":[0.000030730313,0.00003357845,0.000002901101,0.0008755551,0.0005511503,0.00028630352,0.000117148564,0.00014764299,0.000002894866],"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":[0.000001770071,0.000012871044,0.9674944,0.000002477543,1.6121936e-7,0.0000045750307,0.0005944312,0.020623665,0.000013881166,0.0101500135,0.0010316656,0.00007008952],"study_design_scores_gemma":[0.00010583604,0.000012913177,0.9761802,0.000008264811,9.3307034e-7,0.0000018524509,0.00036392684,0.01012265,0.0000050067397,0.0023426663,0.010805726,0.000050047365],"about_ca_topic_score_codex":0.88853836,"about_ca_topic_score_gemma":0.9303548,"teacher_disagreement_score":0.04181644,"about_ca_system_score_codex":0.000053884105,"about_ca_system_score_gemma":0.00002556147,"threshold_uncertainty_score":0.20307362},"labels":[],"label_agreement":null},{"id":"W2416809194","doi":"10.1093/forestscience/52.4.411","title":"Canada–U.S. Softwood Lumber Trade Revisited: Substitution Bias in the Context of a Spatial Price Equilibrium Framework","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":"University of Victoria; Canadian Forest Service","funders":"","keywords":"Softwood; Context (archaeology); Substitution (logic); Economics; Econometrics; Geology; Engineering; Pulp and paper industry; Computer science; Paleontology","score_opus":0.01317519930422904,"score_gpt":0.23169026182457972,"score_spread":0.2185150625203507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416809194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814921,0.000031066,0.0005015383,0.0012731896,0.00013458639,0.00031495947,0.000010623215,0.000013445988,0.01622848],"genre_scores_gemma":[0.99877995,0.0000028077745,0.00021439245,0.0007022929,0.000070498034,0.000010106611,0.000005364757,0.000004840281,0.00020973667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818474,0.000045600937,0.00026044983,0.0002858276,0.0008076064,0.00041576455],"domain_scores_gemma":[0.9993632,0.00010226446,0.00012213265,0.00035324987,0.0000065345894,0.000052638676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073246314,0.00011617812,0.00011836061,0.00006281265,0.00013322741,0.00005623035,0.00079788466,0.000038487684,0.0003201858],"category_scores_gemma":[0.00018373881,0.00008482372,0.00003323899,0.0012680141,0.0009187013,0.00034924684,0.00014474847,0.00013319643,0.00007072993],"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":[0.000020521768,0.00013756678,0.7636237,0.00002436556,0.0000023290047,0.000022757278,0.00065671036,0.021853443,0.00071904826,0.18662721,0.025319366,0.000992947],"study_design_scores_gemma":[0.0002028596,0.000048283102,0.95283186,0.000044967852,0.0000080557365,0.000005905056,0.000045171284,0.010291604,0.00022236677,0.004322551,0.031787813,0.00018854492],"about_ca_topic_score_codex":0.7480193,"about_ca_topic_score_gemma":0.6619613,"teacher_disagreement_score":0.18920814,"about_ca_system_score_codex":0.00020231717,"about_ca_system_score_gemma":0.00015362601,"threshold_uncertainty_score":0.350581},"labels":[],"label_agreement":null},{"id":"W2462458980","doi":"10.1093/forestscience/49.5.719","title":"Estimating the Cost of Land Base Changes Due to Wildfire Using Shadow Prices","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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 Alberta","funders":"","keywords":"Shadow price; Range (aeronautics); Linear programming; Measure (data warehouse); Shadow (psychology); Econometrics; Base (topology); Environmental science; Economics; Mathematical optimization; Mathematics; Computer science; Engineering","score_opus":0.023909951440800783,"score_gpt":0.269791294769432,"score_spread":0.2458813433286312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462458980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857246,0.000010495481,0.0023869365,0.0003836261,0.00015542207,0.00031528162,0.000002384947,0.000015622203,0.011005628],"genre_scores_gemma":[0.98861575,7.43898e-7,0.010695797,0.00035555637,0.000030230929,0.000011036015,4.224359e-7,0.0000057158254,0.00028474475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998883,0.000020139043,0.00011046644,0.00023991276,0.00041106922,0.00033541597],"domain_scores_gemma":[0.99948126,0.000042325682,0.000081234684,0.00028852775,0.0000064602823,0.00010017179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076640875,0.000091579,0.000084666564,0.00006474857,0.00038319963,0.00006948645,0.0005463772,0.000015571164,0.00033137065],"category_scores_gemma":[0.00023624256,0.00006119052,0.00001858196,0.0010482343,0.0006261965,0.0002763395,0.00022989821,0.000047946774,0.00019694201],"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":[0.0000068775616,0.000052422904,0.38693815,0.000018277191,0.0000035828132,0.00000895775,0.0018446028,0.5926573,0.003180862,0.009524126,0.0015901607,0.0041746665],"study_design_scores_gemma":[0.0003083483,0.00018219968,0.22206335,0.00010986733,0.000025861686,0.000031893334,0.00012443558,0.7598884,0.0019860805,0.0035781884,0.011255544,0.00044584548],"about_ca_topic_score_codex":0.0015397045,"about_ca_topic_score_gemma":0.0012769003,"teacher_disagreement_score":0.16723107,"about_ca_system_score_codex":0.00005840804,"about_ca_system_score_gemma":0.00002212837,"threshold_uncertainty_score":0.36282763},"labels":[],"label_agreement":null},{"id":"W2463332732","doi":"10.5849/forsci.15-071","title":"Forest Management and Southern Pine Beetle Outbreaks: A Historical Perspective","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Stephen's University","funders":"","keywords":"Outbreak; Mountain pine beetle; Ecology; Dendroctonus; Population; Geography; Forest management; Bark beetle; Biology; PEST analysis; Demography; Curculionidae; Botany","score_opus":0.007041241375330746,"score_gpt":0.20787604364766932,"score_spread":0.20083480227233858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463332732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94676805,0.000071758535,0.006480316,0.0018827618,0.00043107217,0.0004724725,0.000005883475,0.00010583086,0.043781884],"genre_scores_gemma":[0.9830826,0.000026807431,0.0011383763,0.00023538481,0.00003189112,0.000047965303,3.2455185e-7,0.000009855199,0.015426774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983616,0.00001836064,0.00015094428,0.0005941623,0.00039948893,0.00047545746],"domain_scores_gemma":[0.99938047,0.000033957283,0.00006329098,0.00033301898,0.000015727723,0.00017352214],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004220724,0.00014641964,0.00011839212,0.000100074605,0.0003651526,0.000032894255,0.0004815748,0.000040433202,0.0006056082],"category_scores_gemma":[0.000070571754,0.00009676502,0.00003495268,0.00042457687,0.0012465201,0.00035445357,0.0007270408,0.00005906939,0.0012974006],"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":[0.0001187302,0.00044087938,0.4811555,0.000021228649,0.00004050159,0.00014208387,0.0029101733,0.002238776,0.0033781303,0.48171315,0.015963463,0.011877367],"study_design_scores_gemma":[0.0009608127,0.00041436916,0.83149326,0.000037362293,0.000037065744,0.00003855388,0.0006532284,0.0011788367,0.000059833696,0.12754923,0.03708145,0.0004959788],"about_ca_topic_score_codex":0.0007690404,"about_ca_topic_score_gemma":0.002229962,"teacher_disagreement_score":0.35416391,"about_ca_system_score_codex":0.0011199089,"about_ca_system_score_gemma":0.000013341854,"threshold_uncertainty_score":0.9994802},"labels":[],"label_agreement":null},{"id":"W2466573172","doi":"10.1093/forestscience/50.5.640","title":"Modeling the Likelihood of Crown Fire Occurrence in Conifer Forest Stands","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":134,"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":"Crown (dentistry); Forestry; Forest health; Environmental science; Geography","score_opus":0.009433204516625843,"score_gpt":0.22798037058070697,"score_spread":0.21854716606408112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466573172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937324,0.00005675257,0.004479282,0.0001762149,0.00024169525,0.00035710548,0.000013177715,0.000024623156,0.0009187505],"genre_scores_gemma":[0.99958915,0.000006371348,0.0002753874,0.00006663249,0.00001617672,0.000025854324,0.0000013131995,0.0000068072136,0.000012283344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978362,0.000030900992,0.00032754207,0.00044137365,0.000804573,0.00055944343],"domain_scores_gemma":[0.9991897,0.0000673967,0.00009232052,0.0005087387,0.000024277277,0.00011759651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013930456,0.00014922107,0.00016645368,0.00006033903,0.00023919826,0.00006362766,0.001119978,0.000047071237,0.000068425616],"category_scores_gemma":[0.00024722327,0.000102868245,0.0000451845,0.0012180738,0.0010622926,0.0006416524,0.00032550417,0.00017295069,0.00014742052],"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":[0.000013364507,0.000074519245,0.13954374,0.0000135154505,0.0000011358424,0.000007330853,0.0008693976,0.85499394,0.0019332044,0.0014806283,0.000039677554,0.0010295564],"study_design_scores_gemma":[0.0005659012,0.00017776877,0.11542242,0.00015340379,0.0000046010355,0.000016538579,0.00015724126,0.8753308,0.0010881602,0.0067622336,0.00007885681,0.00024206498],"about_ca_topic_score_codex":0.00538144,"about_ca_topic_score_gemma":0.009406816,"teacher_disagreement_score":0.02412132,"about_ca_system_score_codex":0.0003147169,"about_ca_system_score_gemma":0.00013691132,"threshold_uncertainty_score":0.81351626},"labels":[],"label_agreement":null},{"id":"W2467814137","doi":"10.1093/forestscience/50.5.626","title":"Sustainability of Timber Supply Considering the Risk of Wildfire","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Biomass Utilization and Management","field":"Engineering","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":"University of Alberta","funders":"","keywords":"Sustainability; Environmental science; Business; Agroforestry; Ecology; Biology","score_opus":0.004989319862794078,"score_gpt":0.2114340461259414,"score_spread":0.20644472626314733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467814137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770696,0.000051023566,0.020280687,0.00013834152,0.00011741194,0.00018408717,0.0000037073514,0.000048970818,0.0021061827],"genre_scores_gemma":[0.99936163,0.000017768918,0.00057306705,0.0000098918035,0.000005057769,0.000005034779,5.401724e-7,0.000004554553,0.000022447975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99937785,0.0000066790485,0.000151649,0.000097537995,0.00021219622,0.00015410203],"domain_scores_gemma":[0.99957013,0.000022864411,0.000040391013,0.00026747157,0.000066360255,0.00003277446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003418567,0.00005744072,0.0000720687,0.00006437313,0.00007178588,0.000012942481,0.0002382675,0.000014935552,0.00001246971],"category_scores_gemma":[0.00016946097,0.000040436054,0.000029912962,0.0004940964,0.000694196,0.00012453306,0.000066781795,0.000039681152,0.0000032177677],"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":[0.0000018833649,0.000015065795,0.060144052,0.00005155593,0.0000057712627,7.646423e-7,0.00040657085,0.85146,0.00024866706,0.08734215,0.00009628256,0.00022723897],"study_design_scores_gemma":[0.0007092346,0.000102056394,0.74321103,0.00008617807,0.0000370146,0.0000054099214,0.0013678385,0.13171218,0.022423238,0.09613491,0.0039446508,0.0002662763],"about_ca_topic_score_codex":0.0001458894,"about_ca_topic_score_gemma":0.0002493297,"teacher_disagreement_score":0.71974784,"about_ca_system_score_codex":0.000068030655,"about_ca_system_score_gemma":0.000066491,"threshold_uncertainty_score":0.2557794},"labels":[],"label_agreement":null},{"id":"W2479774985","doi":"10.5849/forsci.15-058","title":"Effects of Harvest Gap Size, Soil Scarification, and Vegetation Control on Regeneration Dynamics in Sugar Maple-Yellow Birch Stands","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Ecology and Vegetation Dynamics Studies","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":"Ministry of Forests","funders":"","keywords":"Yellow birch; Understory; Scarification; Maple; Aceraceae; Canopy; Vegetation (pathology); Plant litter; Biology; Environmental science; Litter; Ecology; Agronomy; Ecosystem","score_opus":0.0047976919903284405,"score_gpt":0.2130664610779189,"score_spread":0.20826876908759046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2479774985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98280644,0.000027809894,0.01500223,0.00066108524,0.00011833433,0.00025533655,0.0000042210872,0.000012963434,0.0011115499],"genre_scores_gemma":[0.99915326,0.00005998607,0.0003166711,0.000074424956,0.0000086566115,0.000034057495,0.0000015469137,0.0000048830766,0.00034649167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896073,0.00005631394,0.00020221985,0.0003144565,0.00026585176,0.00020040675],"domain_scores_gemma":[0.99918747,0.00045835553,0.00012018921,0.00014636262,0.00003713828,0.000050468658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006321049,0.00009170389,0.000117466836,0.00008777565,0.00019906399,0.00001938575,0.00016060962,0.00005037895,0.000009844356],"category_scores_gemma":[0.00057626324,0.000067759785,0.000015685564,0.0003826731,0.0010360908,0.0003868273,0.00004537944,0.00005065566,0.000026561262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031966567,0.000073446376,0.89460355,0.000022119897,0.0000033466802,0.0000013965182,0.00029866025,0.014035337,0.026574947,0.06331813,0.000020155967,0.0010169512],"study_design_scores_gemma":[0.00072819495,0.0001417159,0.9147261,0.0000396873,0.000006036132,9.1896516e-7,0.000022805707,0.072711185,0.002540576,0.008987774,0.000006207973,0.00008884242],"about_ca_topic_score_codex":0.000065955224,"about_ca_topic_score_gemma":0.008032802,"teacher_disagreement_score":0.058675848,"about_ca_system_score_codex":0.0002686178,"about_ca_system_score_gemma":0.000030486062,"threshold_uncertainty_score":0.4482492},"labels":[],"label_agreement":null},{"id":"W2496536496","doi":"10.1093/forestscience/48.3.569","title":"Polya Posterior Frequency Distributions for Stratified Double Sampling of Categorical Data","year":2002,"lang":"en","type":"article","venue":"Forest Science","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","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":"Natural Resources Canada","funders":"","keywords":"Mathematics; Categorical distribution; Statistics; Categorical variable; Dirichlet distribution; Multinomial distribution; Resampling; Sampling (signal processing); Sampling distribution; Posterior probability; Bayesian probability; Bayesian inference; Bayesian linear regression; Mathematical analysis; Computer science","score_opus":0.41288726790521013,"score_gpt":0.4316226193668395,"score_spread":0.018735351461629357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496536496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18879905,0.000028162134,0.8096767,0.00019213991,0.00013067745,0.0003165386,0.00033469306,0.00013837268,0.00038364652],"genre_scores_gemma":[0.83354145,0.000002116201,0.1662843,0.000006820644,0.000026348893,0.000022788632,0.000065577166,0.0000066169573,0.000043992834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99886113,0.000011082373,0.00031533794,0.00029357607,0.0002629932,0.00025586842],"domain_scores_gemma":[0.99846566,0.00037755258,0.00013551764,0.00074566435,0.00019905088,0.000076542456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009848335,0.00008841495,0.00014713,0.00008651862,0.00027865966,0.00007244382,0.0007939629,0.000043330332,0.00003937339],"category_scores_gemma":[0.0013997088,0.0000768461,0.000031960608,0.0004447005,0.0003014705,0.00039549405,0.00012621177,0.000063599946,0.0000065428526],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016921158,0.00022862526,0.0030247816,0.000093005685,0.000008140089,6.7895974e-7,0.00031944434,0.000053627085,0.008859458,0.9832759,0.0021123658,0.002007091],"study_design_scores_gemma":[0.0005328918,0.00019795196,0.0037794348,0.000078973724,0.00003663314,0.000024477245,0.00008110083,0.054833904,0.012108537,0.9278102,0.00019174514,0.00032416085],"about_ca_topic_score_codex":0.00014296974,"about_ca_topic_score_gemma":0.00006278519,"teacher_disagreement_score":0.64474237,"about_ca_system_score_codex":0.000039562612,"about_ca_system_score_gemma":0.000074001015,"threshold_uncertainty_score":0.31336933},"labels":[],"label_agreement":null},{"id":"W2501249356","doi":"10.5849/forsci.15-054","title":"Linking the Depth-to-Water Topographic Index to Soil Moisture on Boreal Forest Sites in Alberta","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","funders":"Alberta Agriculture and Forestry","keywords":"Boreal; Water content; Taiga; Environmental science; Soil science; Vegetation (pathology); Soil texture; Drainage; Hydrology (agriculture); Soil water; Geology; Ecology; Biology","score_opus":0.008356965367865595,"score_gpt":0.2191597828013946,"score_spread":0.210802817433529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501249356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687976,0.000002190475,0.00060267624,0.016065119,0.00013870483,0.00030947383,8.437958e-7,0.000021449521,0.014061906],"genre_scores_gemma":[0.99545014,0.0000046737064,0.000054930963,0.003189195,0.000038636706,0.00006501755,9.785063e-7,0.000007711775,0.0011887348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981922,0.00003199332,0.00015753339,0.0005322335,0.00041412754,0.0006719305],"domain_scores_gemma":[0.99933726,0.0001030566,0.000026283375,0.00040155087,0.0000076005826,0.00012426221],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006768629,0.00015862849,0.00011509854,0.00017123269,0.000490775,0.000052270807,0.0008890997,0.00004761878,0.000060275554],"category_scores_gemma":[0.00010769682,0.00007161182,0.00003606996,0.0007315424,0.0008598249,0.00026538468,0.0008571647,0.000108186396,0.001048283],"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":[0.000026012729,0.000027548229,0.9778428,0.0000013763872,0.0000026195262,0.00000625608,0.001131303,0.016292632,0.00093602145,0.0020887228,0.00077191973,0.0008727932],"study_design_scores_gemma":[0.0001608661,0.00012934642,0.9838643,0.000028906272,0.00000338627,0.0000012267615,0.00003168469,0.00030720184,0.00062625116,0.009558176,0.00513601,0.00015264242],"about_ca_topic_score_codex":0.0034994504,"about_ca_topic_score_gemma":0.20753816,"teacher_disagreement_score":0.20403871,"about_ca_system_score_codex":0.00009078227,"about_ca_system_score_gemma":0.0000063894504,"threshold_uncertainty_score":0.9997295},"labels":[],"label_agreement":null},{"id":"W2501846789","doi":"10.5849/forsci.13-058","title":"Protecting Timber Supply on Public Land in Response to Catastrophic Natural Disturbance: A Principal-Agent Problem","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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 Victoria","funders":"","keywords":"Forester; Business; Logging; Government (linguistics); Incentive; Disturbance (geology); Natural resource economics; Dilemma; Stumpage; Principal (computer security); Revenue; Natural resource; Salvage logging; Stock (firearms); Agroforestry; Economics; Agricultural economics; Finance; Forestry; Environmental science; Ecology; Engineering; Geography; Market economy","score_opus":0.00977317021206736,"score_gpt":0.23833508200126027,"score_spread":0.2285619117891929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501846789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914025,0.00000278675,0.00016322212,0.002231411,0.00012271985,0.0007264397,0.0000027620845,0.000047472975,0.005300669],"genre_scores_gemma":[0.9943003,4.3103645e-7,0.0015221721,0.00042763274,0.000048256097,0.0001297092,0.0000028452882,0.000011860038,0.0035567756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768513,0.00011598926,0.00020577488,0.00057628355,0.00068085757,0.00073597155],"domain_scores_gemma":[0.9991815,0.00007337057,0.00006987691,0.00044184458,0.000011050652,0.00022235516],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022713125,0.000168525,0.00012130936,0.00023130036,0.00035293843,0.00018055813,0.00078645966,0.000030014098,0.00022820597],"category_scores_gemma":[0.00067355885,0.00013461451,0.000029695313,0.0014790741,0.0004022647,0.0004544124,0.0005478158,0.00024088065,0.0021926113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004040979,0.00017177733,0.83672,0.000021897024,0.0000022047873,0.0000184314,0.0017309118,0.14468822,0.0035523048,0.005571388,0.0029887455,0.0041300165],"study_design_scores_gemma":[0.0004425975,0.0003716904,0.9152353,0.0000603235,0.0000020716207,0.0000052684045,0.000011302136,0.038431678,0.00010225429,0.0006992858,0.04433341,0.00030482953],"about_ca_topic_score_codex":0.0006747953,"about_ca_topic_score_gemma":0.0016331895,"teacher_disagreement_score":0.106256545,"about_ca_system_score_codex":0.00035362178,"about_ca_system_score_gemma":0.000036869784,"threshold_uncertainty_score":0.9985843},"labels":[],"label_agreement":null},{"id":"W2502460737","doi":"10.5849/forsci.13-190","title":"Modeling Climatic Effects on Stand Height/Site Index of Plantation-Grown Jack Pine and Black Spruce Trees","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":57,"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","funders":"","keywords":"Black spruce; Site index; Precipitation; Taiga; Growing season; Environmental science; Jack pine; Climate change; Boreal; Forestry; Pinus <genus>; Leaf area index; Atmospheric sciences; Geography; Ecology; Physical geography; Climatology; Biology; Meteorology; Botany; Geology","score_opus":0.005584380612182606,"score_gpt":0.21102493292994265,"score_spread":0.20544055231776004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2502460737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9631689,0.00000859126,0.032530304,0.00010809598,0.00008799377,0.00021982964,0.0000018487744,0.000017192442,0.0038572547],"genre_scores_gemma":[0.9989852,0.000017778284,0.0006937608,0.00016157041,0.000014960125,0.000008421444,0.0000017751026,0.0000052374044,0.000111299174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885136,0.00003102945,0.00017159543,0.00032550012,0.00034903263,0.00027146557],"domain_scores_gemma":[0.99949795,0.00010499984,0.00007128233,0.00022480733,0.000008762664,0.00009218471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059600186,0.00010937013,0.00013416773,0.0000841481,0.00019985434,0.000029239061,0.00025531813,0.000034759396,0.00006039228],"category_scores_gemma":[0.00010883118,0.0000880335,0.000018671373,0.00028377256,0.0007979497,0.0003113688,0.00019771802,0.0000685676,0.00014508101],"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":[0.000055774075,0.00008026343,0.14349546,0.000095885705,0.0000058484134,0.0000041060584,0.0007747853,0.7770887,0.0012366629,0.076021686,0.00021038708,0.000930453],"study_design_scores_gemma":[0.00034911104,0.0002835092,0.28838804,0.000049709604,0.000008765812,0.0000014745701,0.000024755125,0.68542504,0.00037118615,0.024933275,0.000059906546,0.00010520459],"about_ca_topic_score_codex":0.000118959,"about_ca_topic_score_gemma":0.000672029,"teacher_disagreement_score":0.1448926,"about_ca_system_score_codex":0.00005084535,"about_ca_system_score_gemma":0.000010750343,"threshold_uncertainty_score":0.3589902},"labels":[],"label_agreement":null},{"id":"W2503949628","doi":"10.5849/forsci.15-023","title":"Patch Cutting in Temperate Mixedwood Stands: What Happens in the Between-Patch Matrix?","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Biomass Utilization and Management","field":"Engineering","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":"Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Balsam; Abies balsamea; Yellow birch; Basal area; Crown (dentistry); Temperate climate; Forestry; Silviculture; Botany; Biology; Horticulture; Maple; Agroforestry; Geography; Materials science","score_opus":0.013210554854289883,"score_gpt":0.24955386654111006,"score_spread":0.23634331168682018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2503949628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99031204,0.00011461152,0.0070055537,0.00070281123,0.00028570762,0.00026697718,0.0000050693557,0.00008601385,0.0012212149],"genre_scores_gemma":[0.9994187,0.000165111,0.00019951034,0.00005974848,0.000031161362,0.000024400957,0.0000022515444,0.000011431939,0.000087692984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986906,0.000026468255,0.0002481092,0.00023673962,0.00037027718,0.0004277755],"domain_scores_gemma":[0.99954474,0.00006008396,0.00002757985,0.00028576946,0.000027010843,0.000054845783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009704937,0.00012019127,0.000109040215,0.00024011968,0.00009223911,0.00023595417,0.0005381899,0.00003578554,0.000022249767],"category_scores_gemma":[0.00006175567,0.00007245049,0.00002171864,0.0011565589,0.0001605652,0.0008779638,0.000086337786,0.00007404618,0.00006888648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049385917,0.00003828863,0.9338611,0.000058064496,0.0000051932184,0.00002695693,0.002068358,0.008340301,0.0016983341,0.041545685,0.0006260297,0.011726764],"study_design_scores_gemma":[0.0022918829,0.00014673833,0.88097507,0.0012256453,0.000014316396,0.000009035556,0.005776253,0.06955764,0.0062279003,0.011228941,0.021615189,0.0009313667],"about_ca_topic_score_codex":0.000097196724,"about_ca_topic_score_gemma":0.0020129723,"teacher_disagreement_score":0.061217338,"about_ca_system_score_codex":0.00011909438,"about_ca_system_score_gemma":0.000029513923,"threshold_uncertainty_score":0.29544455},"labels":[],"label_agreement":null},{"id":"W2506073254","doi":"10.5849/forsci.13-206","title":"Models to Predict the Moisture Content of Lodgepole Pine Foliage during the Red Stage of Mountain Pine Beetle Attack","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pinus contorta; Mountain pine beetle; Environmental science; Water content; Dendroctonus; Stage (stratigraphy); Pinus <genus>; Moisture; Forestry; Growing season; Atmospheric sciences; Hydrology (agriculture); Meteorology; Ecology; Geography; Bark beetle; Geology; Botany; Biology; Bark (sound)","score_opus":0.01702152538144343,"score_gpt":0.225824076265997,"score_spread":0.20880255088455354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2506073254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99193275,0.000020603084,0.0041450295,0.0005771876,0.00016855681,0.0007473901,0.000031203956,0.000022739829,0.0023545357],"genre_scores_gemma":[0.99771273,0.000002299618,0.00020993476,0.00011133313,0.000036456833,0.000039326875,9.469701e-7,0.000012460827,0.0018745072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9978554,0.00009452663,0.00034376245,0.00037695904,0.00092348026,0.00040587594],"domain_scores_gemma":[0.99862087,0.000120106575,0.0002186722,0.0008798726,0.000037091744,0.0001234017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017484318,0.0001499438,0.00021192852,0.00004779586,0.0002883994,0.000036598052,0.0013983689,0.00003643082,0.00007735119],"category_scores_gemma":[0.0002660258,0.000083300394,0.00006127736,0.0007204413,0.0009939134,0.00033010505,0.0005743632,0.000118593154,0.000045539222],"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":[0.00007039772,0.00012385975,0.06267123,0.00010081542,0.000011434711,0.000002592267,0.0018706956,0.5442947,0.3849025,0.0045716357,0.0010590518,0.000321058],"study_design_scores_gemma":[0.00046990666,0.00036316554,0.58969766,0.00009436037,0.000009732214,0.00000743136,0.00022923319,0.38269815,0.024659133,0.00042911732,0.0011589394,0.00018319779],"about_ca_topic_score_codex":0.002873516,"about_ca_topic_score_gemma":0.0016227632,"teacher_disagreement_score":0.5270264,"about_ca_system_score_codex":0.00015698798,"about_ca_system_score_gemma":0.000024762916,"threshold_uncertainty_score":0.43439156},"labels":[],"label_agreement":null},{"id":"W2513701888","doi":"10.1093/forestscience/49.2.324","title":"Selecting a Level of Conditioning for the Segmented Polynomial Taper Equation","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Intertek (Canada)","funders":"Virginia Polytechnic Institute and State University","keywords":"Conditioning; Polynomial; Mathematics; Structural equation modeling; Statistics; Applied mathematics; Mathematical analysis","score_opus":0.04886770859341308,"score_gpt":0.2694620914208278,"score_spread":0.2205943828274147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513701888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4319325,0.0000102854365,0.56013167,0.0002563245,0.00040186927,0.0006428543,0.0000064712904,0.000019795312,0.0065982495],"genre_scores_gemma":[0.9956569,9.320159e-7,0.003487783,0.00016045319,0.0000107229025,0.000052082716,0.0000016038728,0.0000033371884,0.0006262059],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99923545,0.000017412185,0.0001268095,0.00018378618,0.0002026904,0.00023384538],"domain_scores_gemma":[0.9995959,0.0001404494,0.00008690004,0.00013088202,0.000015672515,0.000030228779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009797718,0.00005548379,0.000053292515,0.000032089596,0.0005900415,0.000021466307,0.00023607427,0.000019762,0.00033377894],"category_scores_gemma":[0.00040118664,0.000040605515,0.00002579083,0.0003760803,0.00063771236,0.00024351143,0.000068685964,0.00004175991,0.000041320553],"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":[0.000034830613,0.00012281167,0.08981813,0.000012472117,0.000018665463,8.10544e-7,0.0010828915,0.19809288,0.019097665,0.68339044,0.0072810864,0.001047351],"study_design_scores_gemma":[0.0018515013,0.0005676927,0.63906944,0.000031376763,0.00007722943,0.000016175356,0.001132075,0.22942825,0.03337447,0.08122224,0.012755326,0.00047421138],"about_ca_topic_score_codex":0.000112182744,"about_ca_topic_score_gemma":0.00036805606,"teacher_disagreement_score":0.60216814,"about_ca_system_score_codex":0.00008943682,"about_ca_system_score_gemma":0.000033699132,"threshold_uncertainty_score":0.45381817},"labels":[],"label_agreement":null},{"id":"W2514417715","doi":"","title":"Growth responses of Abies amabilis advance regeneration to overstory removal, nitrogen fertilization and release from Vaccinium competition","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vaccinium; Canopy; Shoot; Competition (biology); Seedling; Dry weight; Horticulture; Understory; Biology; Randomized block design; Microclimate; Herbaceous plant; Botany; Environmental science; Agronomy; Ecology","score_opus":0.009547998211562684,"score_gpt":0.22047328100881575,"score_spread":0.21092528279725306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514417715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937425,0.00018803513,0.0043455027,0.0001432654,0.00014601104,0.000158064,0.000010189215,0.000024394232,0.0012419991],"genre_scores_gemma":[0.99405813,0.00007174691,0.0056286105,0.00014696909,0.000012579231,0.000009267805,0.0000035657579,0.0000060227417,0.000063100575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876976,0.00007225384,0.00018153283,0.00037147192,0.00040393058,0.00020104909],"domain_scores_gemma":[0.99944395,0.0001190155,0.00007475238,0.00019558537,0.000049631068,0.00011706162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045122052,0.00010193315,0.000117962874,0.00006983173,0.00033820563,0.000030317076,0.00015514932,0.000027634396,0.00006475358],"category_scores_gemma":[0.0013568852,0.000094391806,0.000020993011,0.0005697073,0.00045879526,0.00042833286,0.000090965485,0.0000405219,0.000026588928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001765146,0.000055837645,0.8443161,0.00000935772,0.0000034524753,0.0000029268522,0.0010403292,0.007179811,0.13129672,0.015354532,0.00022944603,0.00033496026],"study_design_scores_gemma":[0.00036157336,0.00021205077,0.8728123,0.000038803348,0.000013365515,0.0000058835262,0.00041872045,0.002391277,0.09077426,0.03136987,0.0013255951,0.00027631343],"about_ca_topic_score_codex":0.0005538221,"about_ca_topic_score_gemma":0.0006444561,"teacher_disagreement_score":0.04052247,"about_ca_system_score_codex":0.00011300929,"about_ca_system_score_gemma":0.00002962127,"threshold_uncertainty_score":0.3849186},"labels":[],"label_agreement":null},{"id":"W2521083761","doi":"10.5849/forsci.15-164","title":"Unexpected Events When Manually Falling Trees in Coastal British Columbia","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western Forest Products","funders":"","keywords":"Falling (accident); Tree (set theory); Situational ethics; Computer science; Work (physics); Data collection; Psychology; Operations management; Statistics; Engineering; Social psychology; Mathematics","score_opus":0.05221647899512612,"score_gpt":0.4151483076899763,"score_spread":0.3629318286948502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521083761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939766,0.000022183769,0.0005742863,0.001137582,0.0004031203,0.0006969442,0.00007962023,0.00004832097,0.003061326],"genre_scores_gemma":[0.99035215,0.00003551592,0.00045700482,0.00018978045,0.000111178044,0.00013610355,0.000008502924,0.000009879341,0.008699855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972244,0.00018469116,0.00042617545,0.00038225704,0.00081379,0.00096871407],"domain_scores_gemma":[0.9984293,0.000624516,0.00009217236,0.00022355122,0.00030071268,0.00032974748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016389133,0.00006557872,0.00014659246,0.00011672332,0.0011236693,0.000041514733,0.0005067205,0.0000834453,0.0008490521],"category_scores_gemma":[0.0011904353,0.0000678159,0.000024833133,0.000616877,0.00031746543,0.00046134685,0.00022801051,0.0002617036,0.00039698128],"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":[0.000039081195,0.000041701926,0.9888009,0.000021888887,7.7787877e-7,0.000010974975,0.00027798058,0.000012796089,0.00033792053,0.0006309447,0.0013054794,0.00851958],"study_design_scores_gemma":[0.0008634152,0.0000765562,0.98681986,0.00047596428,6.030102e-7,0.0000021198744,0.00015792376,0.00039518106,0.0000021670596,0.009786331,0.001328575,0.00009129811],"about_ca_topic_score_codex":0.058149952,"about_ca_topic_score_gemma":0.7590121,"teacher_disagreement_score":0.70086217,"about_ca_system_score_codex":0.0002600707,"about_ca_system_score_gemma":0.0017656749,"threshold_uncertainty_score":0.9481219},"labels":[],"label_agreement":null},{"id":"W2521786147","doi":"10.1093/forestscience/48.1.77","title":"Growth and Nutritional Interactions of Nutrient-Loaded Black Spruce Seedlings with Neighboring Natural Vegetation Under Greenhouse Conditions","year":2002,"lang":"en","type":"article","venue":"Forest Science","topic":"Seedling growth and survival 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":"University of Toronto","funders":"","keywords":"Interspecific competition; Seedling; Nutrient; Competition (biology); Black spruce; Biology; Vegetation (pathology); Hardwood; Agronomy; Greenhouse; Weed; Aceraceae; Environmental science; Ecology; Botany; Taiga; Maple","score_opus":0.013682121416140764,"score_gpt":0.22498455864978842,"score_spread":0.21130243723364767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521786147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942539,0.00006805096,0.001572875,0.00036748842,0.000118219126,0.00013819459,0.0000057516454,0.000033925815,0.0034416227],"genre_scores_gemma":[0.9988526,0.00002879516,0.0008739353,0.00010025372,0.000028207029,0.000011307354,0.0000030833667,0.000006643203,0.00009516851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987998,0.000013713363,0.00016384467,0.00030509286,0.00045959497,0.00025797894],"domain_scores_gemma":[0.9995375,0.00011498044,0.00008889786,0.0001101819,0.000042996235,0.00010544546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010778203,0.00011362685,0.00011165251,0.000095064446,0.0004430693,0.00004746346,0.0001764999,0.000019454123,0.000081292616],"category_scores_gemma":[0.000076734104,0.000093802264,0.00002704734,0.0007193509,0.0017712861,0.00074002665,0.00010150608,0.00011664057,0.000045339908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072234994,0.00047345308,0.7959628,0.00007082302,0.00003669929,0.000010178245,0.0034998485,0.013259309,0.120013855,0.065993205,0.00041100237,0.00019660621],"study_design_scores_gemma":[0.0006905284,0.00013359601,0.9620785,0.00009082052,0.000022684504,0.000029753095,0.0004405848,0.018242676,0.008625766,0.009352604,0.000052518648,0.00023997754],"about_ca_topic_score_codex":0.00024083183,"about_ca_topic_score_gemma":0.00021248803,"teacher_disagreement_score":0.1661157,"about_ca_system_score_codex":0.00006816271,"about_ca_system_score_gemma":0.000009149113,"threshold_uncertainty_score":0.6526377},"labels":[],"label_agreement":null},{"id":"W2522352956","doi":"10.5849/forsci.15-092","title":"Models for Predicting Clearwood Mechanical Properties of Scots Pine","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Université Laval","funders":"","keywords":"Scots pine; Pinus <genus>; Silviculture; Softwood; Environmental science; Young's modulus; Forestry; Mathematics; Botany; Biology; Materials science; Composite material; Agroforestry; Geography","score_opus":0.020169046926743775,"score_gpt":0.21651130760598175,"score_spread":0.196342260679238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522352956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89032006,0.000011044155,0.106984064,0.00043034312,0.0001945555,0.00042034095,0.000005174712,0.000039262293,0.001595133],"genre_scores_gemma":[0.9973778,0.000005608642,0.001942902,0.00007042759,0.000016515196,0.00004500701,2.1528562e-7,0.000005804025,0.00053572905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99890095,0.000010545691,0.00017019894,0.00030354448,0.0002868955,0.00032784755],"domain_scores_gemma":[0.99958676,0.000028327271,0.000071865165,0.00022443675,0.000013610941,0.000075013835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006565609,0.00007457787,0.00009366261,0.00004111124,0.00019610747,0.000010630935,0.00047630825,0.000032686326,0.0001117605],"category_scores_gemma":[0.00017509372,0.00004453506,0.000033877495,0.00018207407,0.0009815466,0.00056540564,0.00037192492,0.000028486129,0.00006633874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013211937,0.00021099453,0.013802964,0.00003462195,0.000010797965,0.0000016533728,0.00033972188,0.026065692,0.18116295,0.7736147,0.0009680499,0.0036557312],"study_design_scores_gemma":[0.001534678,0.0011459755,0.04114781,0.00020354816,0.000031761578,0.000008380135,0.00012816966,0.28265867,0.08281888,0.5888539,0.0010461943,0.00042203956],"about_ca_topic_score_codex":0.00003384791,"about_ca_topic_score_gemma":0.00015066122,"teacher_disagreement_score":0.256593,"about_ca_system_score_codex":0.00007053151,"about_ca_system_score_gemma":0.00002527825,"threshold_uncertainty_score":0.36165494},"labels":[],"label_agreement":null},{"id":"W2523095507","doi":"10.1093/forestscience/47.2.150","title":"Species-Independent Height-Age Models for British Columbia","year":2001,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":true,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Site index; Logistic regression; Geography; Index (typography); Ecology; Diameter at breast height; Range (aeronautics); Logistic function; Statistics; Physical geography; Demography; Environmental science; Biology; Forestry; Mathematics; Computer science","score_opus":0.013549043574084776,"score_gpt":0.20942420503826445,"score_spread":0.19587516146417966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523095507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79419625,0.000017714163,0.09615057,0.00022043385,0.000666961,0.0009165585,0.0000136623785,0.00010302918,0.107714795],"genre_scores_gemma":[0.9546007,0.00002589731,0.0021408666,0.00042066938,0.000044884117,0.000098446144,0.000005460708,0.0000102767035,0.04265281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998079,0.000012206089,0.00018649014,0.0005801408,0.0004891475,0.0006530406],"domain_scores_gemma":[0.99937755,0.000030637337,0.00006203099,0.00033643423,0.000016056529,0.00017728038],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006571246,0.00009465246,0.0001265266,0.0000308199,0.00080144976,0.000372102,0.00082385517,0.00005339384,0.003085081],"category_scores_gemma":[0.000055412627,0.00012944109,0.000062009545,0.00047914393,0.0011463393,0.000766187,0.00045102806,0.00008243041,0.0003694284],"study_design_candidate":"theoretical_or_conceptual","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":[0.00005390758,0.00066915754,0.25649858,0.000022622964,0.000021781798,0.00056403637,0.0004775939,0.21941684,0.0009489922,0.3009988,0.21619329,0.0041343933],"study_design_scores_gemma":[0.0005705673,0.00019629055,0.46456438,0.000012818508,0.000012484968,0.00006389765,0.00006678285,0.045183036,0.00002353441,0.42022336,0.068754695,0.00032813926],"about_ca_topic_score_codex":0.0074819955,"about_ca_topic_score_gemma":0.27276587,"teacher_disagreement_score":0.26528388,"about_ca_system_score_codex":0.00023894002,"about_ca_system_score_gemma":0.000028637083,"threshold_uncertainty_score":0.99912727},"labels":[],"label_agreement":null},{"id":"W2563486537","doi":"10.1093/forestscience/56.4.379","title":"Two-Component Mixture Models for Diameter Distributions in Mixed-Species, Two-Age Cohort Stands","year":2010,"lang":"en","type":"article","venue":"Forest Science","topic":"Bayesian Methods and Mixture Models","field":"Computer 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":"McMaster University","funders":"","keywords":"Component (thermodynamics); Cohort; Statistics; Geography; Age structure; Environmental science; Demography; Ecology; Mathematics; Biology; Population; Physics; Thermodynamics","score_opus":0.018576600560699475,"score_gpt":0.280084769329255,"score_spread":0.26150816876855554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563486537","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05977995,0.00003692266,0.9357108,0.0005401662,0.0014038015,0.00059542403,0.00007728801,0.00009759727,0.0017580785],"genre_scores_gemma":[0.58577794,0.0000038332882,0.41377375,0.000101320526,0.000086197724,0.00009149742,0.00001089002,0.0000081795915,0.00014637811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970955,0.00006053316,0.0003783711,0.000960987,0.0006310316,0.0008735439],"domain_scores_gemma":[0.9980076,0.00021161929,0.000112439564,0.001142067,0.00020922578,0.0003170775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023039829,0.00025467275,0.0003065054,0.00027810593,0.0004681402,0.0004885065,0.0022571317,0.00009139292,0.000008921772],"category_scores_gemma":[0.00018640466,0.00021264753,0.00012592136,0.0013092934,0.0006665711,0.0013314467,0.00045595027,0.0004204433,0.0000066039825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005922316,0.000078103156,0.0010645085,0.000005372985,0.000003178201,0.00001158508,0.00019774163,0.0013326664,0.019003052,0.97527933,0.00029801312,0.0027205325],"study_design_scores_gemma":[0.00067856314,0.00006081887,0.009831214,0.000022568085,0.000007376471,0.0000213711,0.000006354722,0.434124,0.004297773,0.54862255,0.0019730416,0.00035435724],"about_ca_topic_score_codex":0.00009783107,"about_ca_topic_score_gemma":0.0010513891,"teacher_disagreement_score":0.525998,"about_ca_system_score_codex":0.00012568169,"about_ca_system_score_gemma":0.0003191597,"threshold_uncertainty_score":0.86715144},"labels":[],"label_agreement":null},{"id":"W2572050498","doi":"10.5849/forsci.15-118","title":"Estimating Canopy Bulk Density and Canopy Base Height for Interior Western US Conifer Stands","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Smiths Detection (Canada)","funders":"","keywords":"Canopy; Forestry; Environmental science; Geography; Agroforestry; Archaeology","score_opus":0.008463731802977503,"score_gpt":0.23227500476192572,"score_spread":0.22381127295894823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572050498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91338366,0.0000065450167,0.08456301,0.00070152065,0.00039900647,0.000337998,0.000011447097,0.00003553376,0.0005612861],"genre_scores_gemma":[0.99082696,0.0000030675078,0.0072498145,0.00048262707,0.000031174808,0.000049855575,0.0000010563673,0.000008556931,0.0013468676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856853,0.000015272775,0.00017424714,0.0005053936,0.0002471797,0.00048934744],"domain_scores_gemma":[0.9993495,0.00008634032,0.000081359525,0.0002729656,0.000020050724,0.00018979999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065828976,0.00013822642,0.00013508397,0.000051976633,0.000469338,0.00006409536,0.00037277763,0.000041446954,0.0002758656],"category_scores_gemma":[0.00018894566,0.00009350606,0.000025640711,0.0001696892,0.0015204201,0.0005128109,0.00048648904,0.000046212324,0.00011254385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007372617,0.00004229348,0.9611224,0.000022688895,0.0000084569465,0.000025340654,0.00029391577,0.00089293375,0.01361571,0.020557452,0.0012285548,0.002116509],"study_design_scores_gemma":[0.001581717,0.00061900174,0.92370826,0.00010663843,0.000034647426,0.000047684076,0.000042355976,0.029627237,0.01066271,0.027405329,0.005596403,0.0005680157],"about_ca_topic_score_codex":0.00020894244,"about_ca_topic_score_gemma":0.0046186387,"teacher_disagreement_score":0.077443324,"about_ca_system_score_codex":0.00022423493,"about_ca_system_score_gemma":0.000047126505,"threshold_uncertainty_score":0.5602051},"labels":[],"label_agreement":null},{"id":"W2573504752","doi":"10.5849/forsci.15-053","title":"Fire History Sampling Strategy of Fire Intervals Associated with Mixed- to Full-Severity Fires in Southern Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","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":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Foothills; Sampling (signal processing); Fire history; Geography; Physical geography; Environmental science; Context (archaeology); Forestry; Ecology; Cartography; Archaeology; Climate change; Biology; Engineering","score_opus":0.010741775647510676,"score_gpt":0.20136344786705196,"score_spread":0.1906216722195413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573504752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99856025,0.00002499933,0.00010140203,0.00018214698,0.00023802882,0.0002827441,0.000034084536,0.000017031485,0.00055931305],"genre_scores_gemma":[0.998682,6.448858e-7,0.00009369102,0.000072958486,0.000010493383,0.000023021646,0.0000013544905,0.00001410779,0.0011017026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782884,0.00007151349,0.00030639456,0.00050857046,0.000744832,0.0005398275],"domain_scores_gemma":[0.99887186,0.00032232297,0.00018416544,0.00038112185,0.000027953518,0.00021257527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075318996,0.00017711862,0.0002435989,0.00004518,0.000103977356,0.000017666885,0.0007655432,0.000051075334,0.00034703518],"category_scores_gemma":[0.00070524815,0.0001212895,0.000028609638,0.0005888332,0.00051844364,0.00035247992,0.00016579824,0.00008462723,0.00008594248],"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":[0.00013269961,0.00021394038,0.92542917,0.000042911866,0.000016773094,0.00003986478,0.0034473047,0.01122167,0.028292987,0.00009762,0.005459744,0.025605336],"study_design_scores_gemma":[0.00040826242,0.00031071666,0.9861077,0.0005778903,0.0000059415815,0.0000069590837,0.00027927838,0.0103631895,0.00056302303,0.000105791856,0.0008695617,0.00040165632],"about_ca_topic_score_codex":0.89442855,"about_ca_topic_score_gemma":0.991372,"teacher_disagreement_score":0.096943446,"about_ca_system_score_codex":0.0027076206,"about_ca_system_score_gemma":0.00042455297,"threshold_uncertainty_score":0.7080334},"labels":[],"label_agreement":null},{"id":"W2580441612","doi":"10.5849/forsci.15-178","title":"Precommercial Thinning of <i>Picea mariana</i> and <i>Pinus banksiana</i>: Impact of Treatment Timing and Competitors on Growth Response","year":2017,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Ministère des Ressources naturelles et des Forêts; Natural Resources Canada; Canadian Forest Service; Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Thinning; Black spruce; Biology; Shoot; Botany; Taiga; Understory; Forestry; Shrub; Jack pine; Willow; Silviculture; Boreal; Horticulture; Agronomy; Pinus <genus>; Ecology; Geography; Canopy","score_opus":0.014046862996410406,"score_gpt":0.274116921213868,"score_spread":0.2600700582174576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580441612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952594,0.000012645151,0.00008673039,0.00022613278,0.00012180637,0.0002074767,0.0000072088997,0.000008643813,0.004069972],"genre_scores_gemma":[0.9993121,0.00002292918,0.00048361428,0.000039353872,0.000012735491,0.000006578299,5.2672766e-7,0.0000055520622,0.00011658254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897623,0.000044473338,0.00017695987,0.00032919948,0.00020544391,0.00026767352],"domain_scores_gemma":[0.99916613,0.00009872807,0.00022156777,0.00038574275,0.00001169696,0.00011615341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007700734,0.00013436205,0.00018951594,0.000084761145,0.0005869331,0.000053267355,0.0004100757,0.000042358828,0.000063646854],"category_scores_gemma":[0.00021340766,0.00010287675,0.000043451262,0.000112389,0.0022081765,0.0004112162,0.0004346261,0.0000594931,0.00000950424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065914297,0.00015625154,0.96476823,0.000018340423,0.000027217371,0.000013587516,0.0012938456,0.0023755988,0.0073193396,0.020875577,0.00028077065,0.0022120988],"study_design_scores_gemma":[0.0004848817,0.0012343882,0.9923336,0.00003656003,0.000017705752,0.000005584702,0.00003366979,0.001728874,0.0014948166,0.0024241742,0.000099476434,0.00010625427],"about_ca_topic_score_codex":0.0025935867,"about_ca_topic_score_gemma":0.0007571356,"teacher_disagreement_score":0.027565384,"about_ca_system_score_codex":0.00015980937,"about_ca_system_score_gemma":0.00004758186,"threshold_uncertainty_score":0.8136118},"labels":[],"label_agreement":null},{"id":"W2582182730","doi":"10.5849/forsci.16-056","title":"A New Mean Squared Error Estimator for a Synthetic Domain Mean","year":2017,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Canadian Forest Service","funders":"","keywords":"Estimator; Mean squared error; Statistics; Confidence interval; Variance (accounting); Mathematics; Bias of an estimator; Sampling (signal processing); Domain (mathematical analysis); Minimum-variance unbiased estimator; Computer science","score_opus":0.01443633909734557,"score_gpt":0.2667425394560874,"score_spread":0.2523062003587418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582182730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62488115,0.00001541307,0.3312178,0.0041668685,0.0015031629,0.0018203054,0.0000141830715,0.00016694606,0.03621416],"genre_scores_gemma":[0.96171355,9.181808e-7,0.03522742,0.00017319524,0.000041773135,0.00007923575,0.0000013242823,0.000012509804,0.0027500421],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99816066,0.000013777381,0.00017869937,0.00060884317,0.0004088192,0.0006291922],"domain_scores_gemma":[0.99850255,0.000045344754,0.00016463593,0.0009847556,0.000012010743,0.00029070608],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093485974,0.00015960002,0.00015269994,0.000060028062,0.002007634,0.00021765167,0.001787859,0.000051945208,0.0006789681],"category_scores_gemma":[0.00031271036,0.00013682495,0.00007151944,0.00014874217,0.0017393491,0.0007157786,0.0007023457,0.000072653915,0.0008971383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009114437,0.00014060087,0.026603764,0.000022849146,0.000013732104,0.000029536588,0.0015578663,0.0076009613,0.0015073754,0.9373025,0.021198783,0.003930906],"study_design_scores_gemma":[0.0012849877,0.00042521016,0.24267438,0.000046340156,0.00003903321,0.000020071351,0.00021995242,0.030420482,0.0006123817,0.6984378,0.025267502,0.00055184297],"about_ca_topic_score_codex":0.0005768326,"about_ca_topic_score_gemma":0.0056054187,"teacher_disagreement_score":0.33683243,"about_ca_system_score_codex":0.00016958822,"about_ca_system_score_gemma":0.00007434413,"threshold_uncertainty_score":0.9998808},"labels":[],"label_agreement":null},{"id":"W2584934305","doi":"10.5849/forsci.15-042","title":"Methane Fluxes along a Permafrost Hillslope Gradient in Northcentral China","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Climate change and permafrost","field":"Earth and Planetary 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 British Columbia","funders":"","keywords":"Larix gmelinii; Permafrost; Environmental science; Methane; Vegetation (pathology); Soil science; Atmospheric sciences; Hydrology (agriculture); Geology; Ecology; Larch","score_opus":0.01995761776193645,"score_gpt":0.23380598254302812,"score_spread":0.21384836478109168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584934305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954238,0.0002530937,0.000034804903,0.0006626826,0.0006477719,0.0001684051,0.0012680902,0.000031491694,0.0015098861],"genre_scores_gemma":[0.99906063,0.00021827774,0.000063119754,0.00016345952,0.00011738515,0.0000023600767,0.0001851417,0.0000037391862,0.00018590188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979197,0.000035738205,0.00024260621,0.000475985,0.00048938097,0.00083660334],"domain_scores_gemma":[0.9992329,0.000097966775,0.00006277042,0.0002809393,0.000032618045,0.00029281978],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006289036,0.00016625178,0.00017187666,0.000239752,0.00021131919,0.000091164686,0.00059121253,0.000043394815,0.003874929],"category_scores_gemma":[0.000099171564,0.00010081807,0.00005237845,0.00071739237,0.0006331369,0.00079269696,0.00004584492,0.00009182427,0.0007270338],"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":[0.000018232871,0.000016873311,0.9932945,0.0000057162033,0.0000011653198,0.000041849806,0.0006270861,0.00021690888,0.0012400843,0.00029475088,0.000114288276,0.004128552],"study_design_scores_gemma":[0.00032855957,0.00009823873,0.9955266,0.00005848929,0.0000028840518,0.000035910052,0.00004572227,0.0015895892,0.0002663179,0.0007782482,0.0010711309,0.00019826973],"about_ca_topic_score_codex":0.00790189,"about_ca_topic_score_gemma":0.19528365,"teacher_disagreement_score":0.18738176,"about_ca_system_score_codex":0.000024650957,"about_ca_system_score_gemma":0.000109016466,"threshold_uncertainty_score":0.99870455},"labels":[],"label_agreement":null},{"id":"W2585600140","doi":"10.5849/forsci.15-108","title":"Confidence Regions for Foliar Nutrient Analysis","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Ministry of Natural Resources and Forestry; Université Laval; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Nutrient; Confidence interval; Statistics; Statistical analysis; Mixed model; Mathematics; Environmental science; Agronomy; Ecology; Biology","score_opus":0.010123783929368538,"score_gpt":0.24144605093694343,"score_spread":0.2313222670075749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585600140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011606832,0.000005823359,0.98267627,0.0015933738,0.00019424793,0.00033262928,0.000007148691,0.00004327742,0.0035403722],"genre_scores_gemma":[0.9929619,0.000012521654,0.001791191,0.0003183613,0.000018029035,0.00011176016,9.421258e-7,0.000004398729,0.004780938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984652,0.0000133397025,0.00016013285,0.0004984771,0.00032930085,0.0005335847],"domain_scores_gemma":[0.999188,0.00011255545,0.00007972093,0.00044440432,0.000021567552,0.00015376825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007512497,0.00009888436,0.000121479316,0.00013798435,0.0004853631,0.00003050796,0.0006947293,0.000034113153,0.0006507893],"category_scores_gemma":[0.00022930869,0.00006420634,0.000097345845,0.0012466634,0.0016249256,0.00042732176,0.000332512,0.000028818346,0.0006216737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008999039,0.00003216647,0.0053780777,0.0000010754552,0.000013426375,0.0000017737242,0.00004398438,0.0015322467,0.00029108272,0.9896264,0.003036302,0.000034450444],"study_design_scores_gemma":[0.00021344425,0.00008463526,0.043770038,0.000005281094,0.00006624531,0.0000013010975,0.000019157811,0.001829278,0.00049717934,0.9458968,0.007495773,0.000120834484],"about_ca_topic_score_codex":0.00010101755,"about_ca_topic_score_gemma":0.0010449386,"teacher_disagreement_score":0.981355,"about_ca_system_score_codex":0.00018049282,"about_ca_system_score_gemma":0.0000269967,"threshold_uncertainty_score":0.79905653},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2585808269","doi":"10.5849/forsci.16-039","title":"Genetic Parameters for Bole Straightness and Branch Angle in Jack Pine Estimated Using Linear and Generalized Linear Mixed Models","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; Ministry of Natural Resources and Forestry","funders":"","keywords":"Heritability; Mathematics; Generalized linear mixed model; Statistics; Mixed model; Linear model; Tree (set theory); Linear correlation; Genetic correlation; Biology; Combinatorics; Genetic variation; Evolutionary biology; Genetics","score_opus":0.0329011215666565,"score_gpt":0.26753903608353297,"score_spread":0.23463791451687646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585808269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81944734,0.000034873206,0.1798657,0.00013719083,0.00008817537,0.00036642625,0.0000064530764,0.000018949046,0.00003489957],"genre_scores_gemma":[0.9421115,0.000029905035,0.057582855,0.00010503831,0.0000106067755,0.000031400083,0.000001198364,0.0000096781,0.00011784541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998713,0.000022327236,0.00018944757,0.00047939963,0.0001723541,0.00042348052],"domain_scores_gemma":[0.99956316,0.000053494063,0.000059895898,0.00018884247,0.00001179188,0.0001228153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039897818,0.00013105212,0.00014896924,0.000086425265,0.00021285942,0.000029357048,0.00022517814,0.00005316937,0.00003757778],"category_scores_gemma":[0.000069371,0.00009540746,0.000018007728,0.00030712847,0.0011925393,0.0004698053,0.00024938423,0.000037858434,0.000009961479],"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":[0.00011175981,0.00013181663,0.1064736,0.000036607387,0.000009190582,0.000011416528,0.00036504187,0.8448759,0.029409742,0.012227487,0.0001530639,0.0061944136],"study_design_scores_gemma":[0.0010655647,0.00011517586,0.14692596,0.000029013361,0.000009737583,0.000008396732,0.000010458783,0.81459963,0.001084631,0.035900537,0.00007636274,0.00017454225],"about_ca_topic_score_codex":0.00029360483,"about_ca_topic_score_gemma":0.00085699564,"teacher_disagreement_score":0.12266414,"about_ca_system_score_codex":0.00007446006,"about_ca_system_score_gemma":0.000022285074,"threshold_uncertainty_score":0.43939608},"labels":[],"label_agreement":null},{"id":"W2585973112","doi":"10.5849/forsci.15-087","title":"Revisiting Fraser's Triangles as the Basis for Estimating Tree Density, Spatial Distribution, and Stocking","year":2016,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Ministry of Forests","funders":"","keywords":"Basal area; Estimator; Mathematics; Sampling (signal processing); Boundary (topology); Tree (set theory); Statistics; Stocking; Hectare; Population; Forestry; Combinatorics; Geography; Computer science; Mathematical analysis; Demography","score_opus":0.010141678440763012,"score_gpt":0.24044149080456897,"score_spread":0.23029981236380595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585973112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5638008,0.000006993948,0.43270683,0.0023315542,0.00017781537,0.00034806068,0.00000808645,0.000028163171,0.0005917022],"genre_scores_gemma":[0.9956874,0.000002880596,0.0038215027,0.00020852496,0.00008683485,0.00004480698,0.0000018553692,0.0000046604455,0.00014153088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889743,0.000026463847,0.0001509364,0.00033985343,0.0002456847,0.00033963707],"domain_scores_gemma":[0.9992738,0.00032614573,0.00009947937,0.00020802926,0.000016906091,0.00007567479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012641686,0.00009239453,0.000087394175,0.000020941607,0.0011157263,0.00007710478,0.00036376744,0.00002805256,0.00011400335],"category_scores_gemma":[0.0014595996,0.000052256946,0.000030050518,0.00020963592,0.0010974242,0.00035636616,0.00045085224,0.000041582167,0.000068235175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008818418,0.000057427,0.4003829,0.000030055562,0.0000172647,0.000013227826,0.00053243514,0.004738883,0.0017627459,0.34129238,0.0030245697,0.24805991],"study_design_scores_gemma":[0.00069580215,0.0001712923,0.8181827,0.000108263564,0.000035943936,0.000012894567,0.00012226176,0.049067598,0.0010089558,0.12761392,0.0027172454,0.00026309994],"about_ca_topic_score_codex":0.00024520865,"about_ca_topic_score_gemma":0.0011152723,"teacher_disagreement_score":0.4318866,"about_ca_system_score_codex":0.00012313917,"about_ca_system_score_gemma":0.000021354268,"threshold_uncertainty_score":0.8581377},"labels":[],"label_agreement":null},{"id":"W2588743658","doi":"10.1093/forestscience/56.4.356","title":"Using Linear Mixed Effects in Helicopter Logging Data","year":2010,"lang":"en","type":"article","venue":"Forest Science","topic":"Control Systems and Identification","field":"Engineering","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":"Logging; Environmental science; Forestry; Geography","score_opus":0.02902284254746036,"score_gpt":0.27738495768459026,"score_spread":0.2483621151371299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588743658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96277153,0.000036368623,0.035395075,0.000012124901,0.0014429366,0.00011243832,0.0000020609586,0.000053481202,0.00017396455],"genre_scores_gemma":[0.99748397,8.1901874e-7,0.0023748672,0.0000064779797,0.00010947836,0.000003433103,0.0000031999502,0.000006297633,0.000011474334],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999391,0.0000050538347,0.00010907863,0.00017953514,0.0001344955,0.0001808073],"domain_scores_gemma":[0.99943674,0.000022946866,0.000015693751,0.00046578533,0.000017290606,0.00004157674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050579774,0.00005182937,0.00006429318,0.000117057105,0.00006042679,0.000075825155,0.00041713932,0.000024919786,0.0000035825803],"category_scores_gemma":[0.00011610293,0.00004875682,0.000007745014,0.00026896346,0.000060239552,0.00049035344,0.0000807988,0.000099974735,0.000037187277],"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":[0.000001082231,0.000009566673,0.016368253,0.00005330203,0.0000015560549,0.000004070223,0.00011850776,0.056796696,0.92144734,0.002170591,0.00010563092,0.0029234302],"study_design_scores_gemma":[0.000096162104,0.0000021972546,0.045635685,0.000027013875,0.0000014703745,0.0000032453604,0.0000049870973,0.95165336,0.0017932781,0.00014912033,0.0005715537,0.000061916275],"about_ca_topic_score_codex":0.00018467136,"about_ca_topic_score_gemma":0.00076309516,"teacher_disagreement_score":0.919654,"about_ca_system_score_codex":0.000022718887,"about_ca_system_score_gemma":0.00001934179,"threshold_uncertainty_score":0.19882454},"labels":[],"label_agreement":null},{"id":"W2617045051","doi":"10.1093/forestscience/56.3.290","title":"Trivariate Distribution Modeling of Tree Diameter, Height, and Volume","year":2010,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Canadian Forest Service","funders":"Japan International Cooperation Agency; European Social Fund; State University of New York; Edna Bailey Sussman Foundation","keywords":"Tree (set theory); Volume (thermodynamics); Mathematics; Forestry; Environmental science; Statistics; Physical geography; Geography; Physics","score_opus":0.00641839397195213,"score_gpt":0.2046137775641996,"score_spread":0.19819538359224748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617045051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89467555,0.0000041859485,0.10238524,0.00013429185,0.00022555073,0.000112147405,0.0000050101576,0.000016042672,0.0024419958],"genre_scores_gemma":[0.99774677,0.0000052111327,0.0019927612,0.000028960632,0.000011187852,0.000007717231,0.0000034449527,0.0000027422047,0.00020121867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915576,0.000008936308,0.00013099523,0.00025942686,0.0002141901,0.00023068751],"domain_scores_gemma":[0.99962837,0.000014702157,0.000051601106,0.00021268768,0.000009296168,0.00008332398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005656161,0.000067798755,0.00008163095,0.000030707226,0.00019625654,0.000021661903,0.0002975164,0.000036641573,0.00020906911],"category_scores_gemma":[0.00011549782,0.000056932357,0.000018997789,0.00027966296,0.0010345272,0.00036197936,0.00031015152,0.000089787565,0.00006967199],"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":[0.000036711437,0.00027190373,0.26057792,0.000014864008,0.0000072135085,0.0000066823827,0.00037238968,0.07320354,0.018471785,0.6416256,0.00095261476,0.0044588153],"study_design_scores_gemma":[0.00017628093,0.00008895254,0.28902093,0.000003054871,0.0000073908,0.0000033991325,0.000011335708,0.6426265,0.0002919299,0.0670511,0.00062734535,0.000091784525],"about_ca_topic_score_codex":0.0002636047,"about_ca_topic_score_gemma":0.0008694178,"teacher_disagreement_score":0.5745745,"about_ca_system_score_codex":0.000026913538,"about_ca_system_score_gemma":0.0000121048415,"threshold_uncertainty_score":0.38117585},"labels":[],"label_agreement":null},{"id":"W2623901264","doi":"10.1093/forestscience/51.5.472","title":"Variation in Wood Density and Shrinkage and Their Relationship to Growth of Selected Young Poplar Hybrid Crosses","year":2005,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":59,"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; Ministère des Ressources naturelles et des Forêts (Québec); Intertek (Canada)","funders":"","keywords":"Pith; Shrinkage; Hybrid; Populus trichocarpa; Horticulture; Biology; Botany; Growth rate; Composite material; Materials science; Mathematics; Geometry","score_opus":0.005577946163629004,"score_gpt":0.20192128299747553,"score_spread":0.19634333683384653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623901264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935813,0.000008235532,0.005313609,0.00024247555,0.000031918593,0.00017841865,0.0000015123761,0.000012443078,0.0006300971],"genre_scores_gemma":[0.9982213,0.0000042176375,0.0016109085,0.00008258289,0.0000058391593,0.000007073102,8.6077074e-7,0.0000023895623,0.000064834036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993007,0.000020575368,0.000120876975,0.00025081955,0.00012390869,0.0001830961],"domain_scores_gemma":[0.9997228,0.000049590468,0.000041999006,0.0001088637,0.0000135691325,0.00006320926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054392323,0.000063803716,0.000070758186,0.0000866352,0.00019090678,0.000026516685,0.00013893192,0.00002133587,0.000027471575],"category_scores_gemma":[0.00029339117,0.000055675173,0.000005766015,0.0005698693,0.00041694788,0.00043616907,0.00021498956,0.000057262256,0.0000196515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000084640815,0.000032148215,0.9647009,0.0000036711888,8.8392363e-7,0.0000012721094,0.00090934086,0.0023904915,0.0030061393,0.028824208,0.0000444841,0.000078018595],"study_design_scores_gemma":[0.00012505472,0.000047512807,0.9804089,0.000005494843,0.0000020278017,0.0000071489326,0.000019118394,0.0040991567,0.0013825835,0.013823359,0.000017202854,0.00006242902],"about_ca_topic_score_codex":0.00031349348,"about_ca_topic_score_gemma":0.00536493,"teacher_disagreement_score":0.015708033,"about_ca_system_score_codex":0.000070330025,"about_ca_system_score_gemma":0.000013881908,"threshold_uncertainty_score":0.29937568},"labels":[],"label_agreement":null},{"id":"W2625381089","doi":"10.5849/fs-2016-083r1","title":"”The Devil Is in the Details:” Inland Northwest Stakeholders' Views on Three Forest-Based Bioenergy Scenarios","year":2017,"lang":"en","type":"article","venue":"Forest Science","topic":"Biofuel production and bioconversion","field":"Engineering","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":"U.S. Forest Service; U.S. Department of Agriculture","keywords":"Bioenergy; Renewable energy; Stakeholder; Business; Environmental resource management; Natural resource economics; Agroforestry; Environmental planning; Environmental science; Environmental protection; Ecology; Economics","score_opus":0.06221187594848576,"score_gpt":0.256668488291399,"score_spread":0.19445661234291323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625381089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99248767,0.00016894776,0.00071951625,0.0040456746,0.00089764514,0.00031572476,0.0000066657803,0.00005770343,0.0013004827],"genre_scores_gemma":[0.99926573,0.00004917062,0.00008647853,0.00042822282,0.00008273221,0.000019035717,0.0000022718186,0.000008730729,0.00005763924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878484,0.000017394388,0.00016284887,0.0002746661,0.00039309534,0.00036717413],"domain_scores_gemma":[0.9988626,0.000047161626,0.00006331367,0.00091433147,0.000043036453,0.000069530506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008287695,0.00013991892,0.00009131457,0.000091522634,0.0011843944,0.00041957523,0.00124425,0.000052254145,0.000009716854],"category_scores_gemma":[0.00010423041,0.000076131015,0.00004625679,0.00027660857,0.00073091383,0.00028146285,0.00005828744,0.00018751239,0.000079023805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009935332,0.00016683528,0.82630664,0.00014611533,0.000014577402,0.000035065616,0.0011346794,0.10663508,0.0017790846,0.0074650296,0.013422818,0.0427947],"study_design_scores_gemma":[0.0007202641,0.00016217786,0.6035431,0.000085219785,0.000008457502,0.000007906499,0.00020037073,0.17132093,0.0027097135,0.0012500279,0.21963619,0.0003556515],"about_ca_topic_score_codex":0.00040793477,"about_ca_topic_score_gemma":0.014171532,"teacher_disagreement_score":0.22276358,"about_ca_system_score_codex":0.000057715304,"about_ca_system_score_gemma":0.00007202566,"threshold_uncertainty_score":0.9109523},"labels":[],"label_agreement":null},{"id":"W2735202326","doi":"10.1093/forestscience/52.4.390","title":"U.S.–Canada Softwood Lumber Trade: Measuring the Market and Welfare Impacts of Restrictions","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":35,"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":"Softwood; Welfare; Economics; Agricultural economics; Pulp and paper industry; Engineering","score_opus":0.005744238863847839,"score_gpt":0.1909984843640158,"score_spread":0.18525424550016797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735202326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9260445,0.000030841253,0.000027523254,0.0027180822,0.00010260522,0.00015274456,0.00000828114,0.000016157548,0.07089923],"genre_scores_gemma":[0.99855375,0.0000072869443,0.00011837617,0.00010212438,0.000029786524,0.0000052045407,6.9712064e-7,0.000004860168,0.0011779153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987935,0.000018157183,0.00014300582,0.00020377166,0.00052741583,0.00031415446],"domain_scores_gemma":[0.9995627,0.00003500148,0.00006948856,0.00024936628,0.000005241398,0.000078217025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036580427,0.00008710514,0.00006873851,0.00004081502,0.0004991158,0.000052449977,0.0003984391,0.000016367416,0.00048809368],"category_scores_gemma":[0.00005920764,0.00006092023,0.000019941148,0.0007719875,0.0008191641,0.00030010863,0.00020139798,0.000066592314,0.000011713754],"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":[0.000007297737,0.000039655162,0.83816725,0.000013219374,0.0000039735023,0.0000052811115,0.00009883607,0.009791353,0.000559906,0.024822345,0.12555276,0.0009381353],"study_design_scores_gemma":[0.00009154471,0.000016871298,0.9638539,0.000006626405,0.0000072106773,0.0000064159126,0.000022306507,0.0025593678,0.00007840558,0.0010219383,0.032250352,0.00008503958],"about_ca_topic_score_codex":0.55339354,"about_ca_topic_score_gemma":0.53181934,"teacher_disagreement_score":0.12568669,"about_ca_system_score_codex":0.00010440249,"about_ca_system_score_gemma":0.00006927681,"threshold_uncertainty_score":0.53442836},"labels":[],"label_agreement":null},{"id":"W2738635115","doi":"10.1093/forestscience/54.3.255","title":"Variation in Mechanical Properties of Selected Young Poplar Hybrid Crosses","year":2008,"lang":"en","type":"article","venue":"Forest Science","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","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 Laval; Ministère des Ressources naturelles et des Forêts (Québec); Intertek (Canada)","funders":"","keywords":"Variation (astronomy); Biology; Environmental science; Physics","score_opus":0.022803751706270043,"score_gpt":0.1935780923465115,"score_spread":0.17077434064024144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738635115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991053,0.00003062836,0.00005165835,0.00040716736,0.00014451801,0.00009775491,0.0000014896182,0.000030504714,0.00013099347],"genre_scores_gemma":[0.9995541,0.000028416289,0.00012478986,0.000041618285,0.000040271858,0.0000074616255,0.0000022092572,2.9769467e-7,0.00020083557],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991582,0.000019838506,0.0001484994,0.00023252498,0.00026072064,0.00018021069],"domain_scores_gemma":[0.999733,0.0000066253356,0.000052984044,0.00004798465,0.00012265878,0.000036752743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002736226,0.000056220135,0.00007486172,0.000026082882,0.00021099753,0.000024667304,0.00023530888,0.00001818656,0.000035426052],"category_scores_gemma":[0.00013604139,0.000021455277,0.000017005637,0.0009470075,0.00027718119,0.00023812578,0.0000732964,0.000043218268,0.0000072448584],"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":[0.000014847313,0.00008053658,0.004797428,0.0000030245471,0.0000011400267,0.0000024389003,0.0000999455,0.00023067238,0.9891813,0.0049326126,0.00006222172,0.0005938628],"study_design_scores_gemma":[0.00010147752,0.000145716,0.82598233,0.000017533643,0.0000020109921,0.000027244663,0.000062777995,0.0015412257,0.17062679,0.0006064794,0.0007682821,0.0001181218],"about_ca_topic_score_codex":0.0009314397,"about_ca_topic_score_gemma":0.00097135943,"teacher_disagreement_score":0.82118493,"about_ca_system_score_codex":0.000024816025,"about_ca_system_score_gemma":0.000026311109,"threshold_uncertainty_score":0.16228437},"labels":[],"label_agreement":null},{"id":"W2739498127","doi":"10.1093/forestscience/57.6.506","title":"Positive Relationship between Aboveground Carbon Stocks and Structural Diversity in Spruce-Dominated Forest Stands in New Brunswick, Canada","year":2011,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":105,"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 du Québec à Montréal","funders":"","keywords":"Carbon stock; Forestry; Geography; Ecology; Agroforestry; Environmental science; Biology; Climate change","score_opus":0.01878117545340967,"score_gpt":0.21635831371745354,"score_spread":0.19757713826404386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739498127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937815,0.000010371978,0.0001898341,0.000091699636,0.000112964735,0.000301587,0.0000039283514,0.000010193116,0.005497888],"genre_scores_gemma":[0.9993888,0.0000011122364,0.00020249836,0.000058015936,0.000008868795,0.0000017694039,0.0000036791105,0.000004598525,0.00033064553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985729,0.000038797312,0.00018632128,0.00041383383,0.00034453603,0.00044360472],"domain_scores_gemma":[0.99946815,0.00009637731,0.00007398916,0.00017875839,0.000008320548,0.00017440555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044736968,0.00013321388,0.00014027668,0.00013175001,0.00033249275,0.00002094486,0.0004184552,0.000060751277,0.00006872811],"category_scores_gemma":[0.0001203286,0.00012823663,0.000012067337,0.00075046526,0.0007412176,0.00048238062,0.00078299985,0.00019571432,0.0000051807465],"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":[0.000024834811,0.000008041103,0.96740985,0.00000206826,0.0000015359998,0.000031749772,0.0011142017,0.0010404241,0.0000023085186,0.030275047,0.000029726618,0.000060219867],"study_design_scores_gemma":[0.00045164843,0.00007236888,0.95993584,0.000011477875,0.0000069075786,0.000002375606,0.00016755247,0.0016237741,0.000022358034,0.03754885,0.000006963537,0.00014985769],"about_ca_topic_score_codex":0.92328006,"about_ca_topic_score_gemma":0.99617386,"teacher_disagreement_score":0.07289385,"about_ca_system_score_codex":0.0008115844,"about_ca_system_score_gemma":0.00044702372,"threshold_uncertainty_score":0.52293384},"labels":[],"label_agreement":null},{"id":"W2739731340","doi":"10.1093/forestscience/50.5.659","title":"Climate and Productivity of Major Conifer Species in the Interior of British Columbia, Canada","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Pinus contorta; Picea engelmannii; Site index; Douglas fir; Productivity; Frost (temperature); Forestry; Abies lasiocarpa; Environmental science; Latitude; Physical geography; Precipitation; Climate change; Elevation (ballistics); Geography; Ecology; Atmospheric sciences; Biology; Meteorology; Mathematics; Geology","score_opus":0.0041717407348464235,"score_gpt":0.17765555627747745,"score_spread":0.17348381554263104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739731340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975224,0.000009763587,0.000042477768,0.0002483671,0.00008129119,0.0001938234,0.000012160918,0.0000021089936,0.001887564],"genre_scores_gemma":[0.9995621,0.000007470707,0.00013138204,0.000096089,0.000003490792,0.000008237298,3.472728e-7,0.0000014492138,0.0001894733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925655,0.000013908826,0.00012555036,0.00018346087,0.00023335883,0.00018719783],"domain_scores_gemma":[0.9997424,0.000016914057,0.00005870812,0.00015094111,0.0000071591135,0.000023891216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005701531,0.000033700544,0.0000805305,0.000012727184,0.00008697518,0.000023377852,0.00031122865,0.000011344982,0.000099871075],"category_scores_gemma":[0.000058038724,0.00003620425,0.000008483579,0.0002888581,0.0017998415,0.00017298866,0.00023819768,0.0000445133,0.0000020877437],"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":[0.0000056191184,0.0000692696,0.9864758,0.000024105528,0.0000015171505,0.000020289324,0.0003585325,0.0009602705,0.001455486,0.009593864,0.0007429075,0.00029232577],"study_design_scores_gemma":[0.00013926462,0.0000550429,0.9934982,0.000017538167,0.0000023165849,0.00001089065,0.00023329706,0.00002756205,0.00018804825,0.0055360636,0.0002504148,0.000041328516],"about_ca_topic_score_codex":0.808615,"about_ca_topic_score_gemma":0.9972056,"teacher_disagreement_score":0.18859059,"about_ca_system_score_codex":0.000084428706,"about_ca_system_score_gemma":0.00006151642,"threshold_uncertainty_score":0.66315913},"labels":[],"label_agreement":null},{"id":"W2748071951","doi":"10.5849/fs-2016-049","title":"Predictive Relationships between Acoustic Velocity and Wood Quality Attributes for Red Pine Logs","year":2017,"lang":"en","type":"article","venue":"Forest Science","topic":"Wood Treatment and Properties","field":"Engineering","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":"Natural Resources Canada","funders":"","keywords":"Calibration; Linear regression; Goodness of fit; Mathematics; Pinus <genus>; Statistics; Stiffness; Environmental science; Acoustics; Materials science; Botany; Physics; Composite material; Biology","score_opus":0.09514220603767864,"score_gpt":0.29551218735798684,"score_spread":0.2003699813203082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748071951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810068,0.00012003179,0.017459542,0.00028647674,0.00013591941,0.00024719985,0.00008838973,0.00010603714,0.00054961385],"genre_scores_gemma":[0.99878335,0.000010259892,0.0009868123,0.000002073156,0.00006989701,0.000030641873,0.000010819748,0.000006635645,0.0000994971],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993785,0.000010750743,0.000113625436,0.00016601787,0.00012880933,0.00020228764],"domain_scores_gemma":[0.9994265,0.00014108903,0.00004207806,0.00025258696,0.00006146379,0.00007626858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005084482,0.00008431627,0.0001118799,0.00003882145,0.0009857154,0.00013935959,0.0002316572,0.00004220075,0.0000018960914],"category_scores_gemma":[0.0007254879,0.00006862997,0.000018859517,0.00006665363,0.00040162064,0.0004983387,0.000046407127,0.000078971934,0.0000047843464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002943878,0.000020405369,0.98459554,0.00012160306,0.000048273945,9.895518e-7,0.0010869851,0.006865432,0.0016183116,0.003346414,0.0005251043,0.0017415284],"study_design_scores_gemma":[0.00028979764,0.0000770576,0.963615,0.000026260946,0.000024012375,5.4601077e-7,0.000038182185,0.027174182,0.0012414607,0.0073366454,0.00007501607,0.00010182886],"about_ca_topic_score_codex":0.000027291224,"about_ca_topic_score_gemma":0.00008477841,"teacher_disagreement_score":0.020980503,"about_ca_system_score_codex":0.000044913322,"about_ca_system_score_gemma":0.00002862125,"threshold_uncertainty_score":0.7581426},"labels":[],"label_agreement":null},{"id":"W2748480838","doi":"10.5849/forsci.14-065","title":"Generating Stochastic Ellipsoidal Forest and Wildland Fire Scar Scenarios for Strategic Forest Management Planning under Uncertainty","year":2015,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Army Research Laboratory; Army Research Office; Comisión Nacional de Investigación Científica y Tecnológica; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Process (computing); Fire regime; Forest management; Environmental resource management; Environmental science; Ecology; Agroforestry","score_opus":0.03747543172041765,"score_gpt":0.2721014725807724,"score_spread":0.23462604086035474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748480838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931348,0.00006998727,0.0045654713,0.00026613285,0.00028805106,0.0008603389,0.000009689468,0.000079433594,0.000726121],"genre_scores_gemma":[0.99452126,0.000005632791,0.0031119024,0.00032345086,0.00016859634,0.00010073504,0.000024153756,0.00002748702,0.0017167772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997244,0.000025604393,0.00031384092,0.0007577031,0.0007443341,0.00091451104],"domain_scores_gemma":[0.99890625,0.00006982228,0.00014466708,0.00040384705,0.000032398148,0.0004429981],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00091663084,0.00031292095,0.00021589488,0.000137529,0.00077874144,0.00038870244,0.0006847539,0.00006982309,0.00005165478],"category_scores_gemma":[0.00006054868,0.0002707901,0.00005655595,0.0006260856,0.0010781328,0.00070212106,0.0005828877,0.0001345981,0.00015370898],"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":[0.0000348943,0.000032712254,0.025960838,0.000023854209,0.000009507188,0.000008325053,0.0003465662,0.9688846,0.00002757464,0.0020891307,0.0021908307,0.00039119742],"study_design_scores_gemma":[0.00086076854,0.00023706921,0.002400192,0.000054477034,0.00003238754,0.000012474442,0.0004113844,0.9884205,2.1097057e-7,0.0063014673,0.00090799294,0.0003610784],"about_ca_topic_score_codex":0.0006623304,"about_ca_topic_score_gemma":0.0014651298,"teacher_disagreement_score":0.023560645,"about_ca_system_score_codex":0.00026183217,"about_ca_system_score_gemma":0.00006758875,"threshold_uncertainty_score":0.9999744},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2750831434","doi":"10.5849/forsci.14-175","title":"Augmenting Site Index Estimation with Airborne Laser Scanning Data","year":2015,"lang":"en","type":"article","venue":"Forest Science","topic":"Remote Sensing and LiDAR Applications","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":"Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"","keywords":"Site index; Laser scanning; Tsuga; Western Hemlock; Canopy; Environmental science; Statistics; Elevation (ballistics); Thuja; Basal area; Geography; Physical geography; Estimation; Forestry; Point cloud; Mathematics; Ecology; Biology; Computer science; Geometry; Laser; Engineering","score_opus":0.02771023361840252,"score_gpt":0.26780380490810807,"score_spread":0.24009357128970554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750831434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87822586,0.0000037404122,0.10899344,0.00028505444,0.000053568547,0.00012307616,0.0000035814164,0.00006554524,0.012246134],"genre_scores_gemma":[0.9652511,2.596425e-7,0.034292307,0.00007964832,0.000022612236,0.0000012926412,0.000019740333,0.0000066462126,0.00032641608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862814,0.000011362448,0.000104738225,0.00042130452,0.0005740295,0.00026042512],"domain_scores_gemma":[0.9990321,0.00001641652,0.00007050191,0.0006882156,0.000020449275,0.00017232228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007719437,0.00007756285,0.000058148245,0.000041908832,0.00031655098,0.00012936415,0.00056546525,0.000018135861,0.000025578525],"category_scores_gemma":[0.00011612113,0.00006141427,0.0000062924737,0.00082389376,0.00061000703,0.0008879395,0.00042892262,0.000072903174,0.00048237646],"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":[0.000011887155,0.000046297857,0.1636256,0.000002456222,0.0000022355484,0.000005260547,0.0008957237,0.80006987,0.0012665751,0.00031952627,0.0041041994,0.02965035],"study_design_scores_gemma":[0.0001421293,0.000024942243,0.113628894,0.000016092563,0.0000049559108,0.000014769823,0.00007938709,0.88253343,0.00028851806,0.0005827127,0.0025764115,0.00010774121],"about_ca_topic_score_codex":0.0008575504,"about_ca_topic_score_gemma":0.00046037408,"teacher_disagreement_score":0.08702522,"about_ca_system_score_codex":0.000108537744,"about_ca_system_score_gemma":0.0000695378,"threshold_uncertainty_score":0.6200134},"labels":[],"label_agreement":null},{"id":"W2751841878","doi":"10.5849/forsci.14-098","title":"A Panel Data Analysis of Coastal Log Supply in British Columbia","year":2015,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Stumpage; Panel data; Environmental science; Agricultural economics; Geography; Economics; Econometrics","score_opus":0.0410791793222248,"score_gpt":0.26560089675177556,"score_spread":0.22452171742955077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751841878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99129665,0.000008342537,0.00008063461,0.000055423407,0.00006537004,0.00011568008,0.00010377939,0.000013562695,0.008260553],"genre_scores_gemma":[0.9967977,0.0000057571374,0.00059735245,0.00007448684,0.000010840947,0.0000039041906,0.00006302373,0.0000039751862,0.0024429504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983799,0.000020772355,0.00020632433,0.0004317714,0.0006201421,0.0003410882],"domain_scores_gemma":[0.99905866,0.000020815474,0.00007566609,0.0006777085,0.00001230126,0.00015484628],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00105364,0.000056579327,0.00015893733,0.00013455127,0.00007245429,0.00018097654,0.0014989626,0.000023701064,0.001259578],"category_scores_gemma":[0.0002033123,0.000080285194,0.00002843787,0.0036915536,0.0011792744,0.00079007534,0.0014243945,0.00005592288,0.00021594712],"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":[0.0000020862462,0.000050045503,0.96566284,0.0000013298938,0.0000069629414,0.000011814861,0.00015315322,0.01744345,0.000032650765,0.0001153751,0.015383116,0.0011371739],"study_design_scores_gemma":[0.00017463238,0.000035894078,0.8792309,0.0000062913214,0.000035665602,0.000001952715,0.00005634006,0.11685077,0.0000014456147,0.0005506558,0.0029604083,0.00009502456],"about_ca_topic_score_codex":0.30356312,"about_ca_topic_score_gemma":0.85010195,"teacher_disagreement_score":0.54653883,"about_ca_system_score_codex":0.00006645772,"about_ca_system_score_gemma":0.000055166896,"threshold_uncertainty_score":0.9996534},"labels":[],"label_agreement":null},{"id":"W2752050728","doi":"10.5849/forsci.13-197","title":"Comparing Stem Volume Predictions of Coastal Douglas-Fir Stands in British Columbia Using a Simple Physiological Model and LiDAR Remote Sensing","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Douglas College; University of British Columbia","funders":"","keywords":"Douglas fir; Lidar; Forest inventory; Productivity; Environmental science; Volume (thermodynamics); Physical geography; Extrapolation; Forestry; Ecology; Geography; Forest management; Meteorology; Remote sensing; Statistics; Biology; Mathematics","score_opus":0.02383735444617471,"score_gpt":0.23724289997871414,"score_spread":0.21340554553253943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752050728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8929915,0.000002726652,0.10621953,0.00001546198,0.0000343013,0.00012524093,0.000007602705,0.000030040774,0.000573589],"genre_scores_gemma":[0.98287696,0.000002860133,0.01699502,0.00003427085,0.000015078655,1.7065392e-7,0.000002511036,0.0000071644404,0.00006599515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986898,0.000034785753,0.0002358357,0.00040444112,0.00032555245,0.00030959575],"domain_scores_gemma":[0.9995016,0.00002886358,0.00008861018,0.00024358953,0.00002090002,0.000116441675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048444964,0.00007470435,0.0001793624,0.000034615867,0.00043452132,0.00017518947,0.00018210325,0.000039911378,0.000006583851],"category_scores_gemma":[0.000050373987,0.00010137731,0.000026118221,0.000552799,0.0013104618,0.0002132241,0.00027267422,0.00012310492,0.0000033914598],"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":[0.000004602616,0.000040693878,0.14521249,0.000006760398,0.0000017586183,0.0000034659095,0.00030614244,0.8091933,0.034924142,0.000050509185,0.0002131954,0.010042916],"study_design_scores_gemma":[0.00012667128,0.000029012745,0.25796065,0.000032771146,0.0000031718919,0.00002202831,0.000074428164,0.7397184,0.000031775297,0.0018390156,0.000080525024,0.000081556536],"about_ca_topic_score_codex":0.029165585,"about_ca_topic_score_gemma":0.08322758,"teacher_disagreement_score":0.11274815,"about_ca_system_score_codex":0.00009734883,"about_ca_system_score_gemma":0.000032122967,"threshold_uncertainty_score":0.9772993},"labels":[],"label_agreement":null},{"id":"W2752326225","doi":"10.5849/forsci.14-183","title":"A Second Look at Endogenous Poststratification","year":2015,"lang":"en","type":"article","venue":"Forest Science","topic":"Remote Sensing and LiDAR Applications","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":"Canadian Forest Service","funders":"","keywords":"Statistics; Estimator; Variance (accounting); Regression; Linear regression; Mathematics; Population; Stratification (seeds); Econometrics; Sample (material); Biology; Demography; Economics; Physics","score_opus":0.03365621675992818,"score_gpt":0.2387140083442418,"score_spread":0.20505779158431364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752326225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8407345,0.000008659144,0.0011152391,0.00018797723,0.0000801309,0.00012939953,0.0000024185158,0.000042799864,0.15769888],"genre_scores_gemma":[0.9949002,6.736953e-7,0.002080961,0.00011509588,0.000022805225,0.0000029574144,0.0000041698886,0.0000048731254,0.0028682093],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989351,0.00001183057,0.000106032305,0.00030987855,0.00040065747,0.00023647801],"domain_scores_gemma":[0.99932164,0.000014122109,0.000048578557,0.00037608395,0.000020639603,0.00021895343],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003934131,0.000066691566,0.000049572758,0.000029377923,0.00031035335,0.000058003625,0.00026089264,0.000022761018,0.00034047943],"category_scores_gemma":[0.000057105422,0.00005855318,0.000016960099,0.00047305485,0.00074492756,0.0002262142,0.00013708595,0.000046395675,0.0037034855],"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":[0.000023412424,0.00018255747,0.034268036,0.000004211912,0.000003571531,0.000026441745,0.005251733,0.020397048,0.8951739,0.015390233,0.019511035,0.00976784],"study_design_scores_gemma":[0.0012757103,0.0005464196,0.38542956,0.000023812787,0.000031080628,0.002206602,0.0010264853,0.10324003,0.17876613,0.058865786,0.2671535,0.0014348926],"about_ca_topic_score_codex":0.00017528582,"about_ca_topic_score_gemma":0.00060087215,"teacher_disagreement_score":0.7164077,"about_ca_system_score_codex":0.00029968697,"about_ca_system_score_gemma":0.00006234743,"threshold_uncertainty_score":0.9970722},"labels":[],"label_agreement":null},{"id":"W2753731375","doi":"10.5849/forsci.14-179","title":"Comparing Model I and Model II Formulations of Spatially Explicit Harvest Scheduling Models with Maximum Area Restrictions","year":2015,"lang":"en","type":"article","venue":"Forest Science","topic":"Advanced Manufacturing and Logistics Optimization","field":"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":"Alberta Environment and Protected Areas","funders":"","keywords":"Scheduling (production processes); Environmental science; Mathematics; Computer science; Mathematical optimization","score_opus":0.06130034028975849,"score_gpt":0.24432385484923674,"score_spread":0.18302351455947824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753731375","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32600415,0.000014546598,0.6722904,0.000008351102,0.000023172997,0.00007622839,0.0000045864786,0.000088061344,0.001490512],"genre_scores_gemma":[0.70113075,0.000009787681,0.2988058,0.0000028714728,0.000006226332,0.000008829606,0.000004499742,0.0000101745245,0.00002103191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992149,0.0000020548478,0.00016424623,0.00018123226,0.00023009477,0.00020746772],"domain_scores_gemma":[0.99946314,0.000014944566,0.000047087167,0.00020177143,0.00014120234,0.0001318592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118480304,0.00010715856,0.000119666256,0.00015955268,0.0002417483,0.00004273641,0.00014696893,0.000030718766,2.1947153e-7],"category_scores_gemma":[0.000043265685,0.000098376455,0.000011058188,0.00027234384,0.0001424821,0.0008500139,0.00007231263,0.00008895705,3.314254e-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":[0.0000050031904,0.000010359328,0.0002768052,0.000007929443,0.0000020940843,1.9132209e-7,0.00035054787,0.922346,0.00014070382,0.07682947,0.0000028120382,0.000028103625],"study_design_scores_gemma":[0.00018941256,0.000029190227,0.00014325298,0.000027181191,0.000008522402,0.000002388568,0.000028503659,0.9020097,0.0002532289,0.09719851,7.503068e-7,0.000109324814],"about_ca_topic_score_codex":0.000040623483,"about_ca_topic_score_gemma":0.0001496873,"teacher_disagreement_score":0.37512663,"about_ca_system_score_codex":0.000061034672,"about_ca_system_score_gemma":0.00009708043,"threshold_uncertainty_score":0.40116754},"labels":[],"label_agreement":null},{"id":"W2759640531","doi":"10.1093/forestscience/54.5.507","title":"Estimating Land Rent from the Market Value of Timberland","year":2008,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Land value; Value (mathematics); Land Values; Agricultural economics; Market value; Economics; Forestry; Geography; Land use; Mathematics; Statistics; Finance; Ecology; Biology","score_opus":0.010809476158126016,"score_gpt":0.22793785977000572,"score_spread":0.2171283836118797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759640531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9465387,0.000012303689,0.00040573574,0.00023521626,0.00014509477,0.0001083871,0.000005570268,0.000015709104,0.052533325],"genre_scores_gemma":[0.9931073,0.0000058022156,0.004146575,0.00014595402,0.00006245031,0.000004189911,0.0000019481051,0.0000042254765,0.0025215645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893177,0.000021187936,0.00013637876,0.00020978814,0.00046615518,0.00023470251],"domain_scores_gemma":[0.9994439,0.00009324605,0.000077382596,0.00031890537,0.0000055755063,0.000061029958],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040716212,0.00007652123,0.000075150136,0.000022250968,0.00034715835,0.000023936593,0.00063912745,0.000015495047,0.0017784107],"category_scores_gemma":[0.00012491924,0.000047999278,0.00002805822,0.0004303888,0.0012821826,0.0002292636,0.000336982,0.000056119377,0.00044973567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068650415,0.000020590172,0.9161592,0.00000178204,0.0000021879257,0.0000037576983,0.0006072115,0.04630765,0.00021766567,0.00090801885,0.035320345,0.0004446968],"study_design_scores_gemma":[0.00012860596,0.000029611736,0.7493547,0.000014058635,0.0000052291484,0.000004067127,0.000005417815,0.24384911,0.0000673847,0.0023367452,0.0041226735,0.00008237964],"about_ca_topic_score_codex":0.0041059433,"about_ca_topic_score_gemma":0.0002504428,"teacher_disagreement_score":0.19754146,"about_ca_system_score_codex":0.000033948218,"about_ca_system_score_gemma":0.00001864745,"threshold_uncertainty_score":0.9991341},"labels":[],"label_agreement":null},{"id":"W2762432338","doi":"10.5849/fs-2017-062r2","title":"Ground-Layer Composition May Limit the Positive Impact of Precommercial Thinning on Boreal Stand Productivity","year":2017,"lang":"en","type":"article","venue":"Forest Science","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological 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":"Natural Resources Canada; Canadian Forest Service; Ministère des Ressources naturelles et des Forêts; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Thinning; Forestry; Taiga; Productivity; Boreal; Environmental science; Ecology; Biology; Geography; Economics","score_opus":0.0472178817042869,"score_gpt":0.3116767128583518,"score_spread":0.2644588311540649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762432338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99461377,0.000010107548,0.000005812008,0.0020104442,0.00016595991,0.00019267341,0.000044909633,0.000014635135,0.0029417062],"genre_scores_gemma":[0.9997429,0.0000024249277,0.000010433103,0.000032359454,0.00016410826,0.000003730811,0.0000057936645,4.2619786e-7,0.0000377944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898237,0.000049843413,0.00011833782,0.00028741034,0.00032799735,0.0002340655],"domain_scores_gemma":[0.9993441,0.00013807279,0.00015330303,0.00018873214,0.00011948678,0.000056279256],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007577334,0.000095223106,0.000116890296,0.000008802496,0.0016941002,0.00026108715,0.0006716788,0.000035444387,0.000020708141],"category_scores_gemma":[0.00017266552,0.000028750304,0.00009125296,0.00013693464,0.0009413058,0.00044789896,0.00015241027,0.00012827369,0.0000037934938],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006370035,0.00047386295,0.7282011,0.000007186143,0.000018387509,0.000003988274,0.0012312673,0.00028234898,0.18675342,0.0074134986,0.00036133264,0.074616626],"study_design_scores_gemma":[0.000053324093,0.00043317393,0.99290806,0.000027238766,0.0000042466017,0.0000024761157,0.00004665331,0.0003427145,0.004743918,0.0013393433,0.000025111895,0.00007371284],"about_ca_topic_score_codex":0.003707665,"about_ca_topic_score_gemma":0.0012506158,"teacher_disagreement_score":0.264707,"about_ca_system_score_codex":0.00005581848,"about_ca_system_score_gemma":0.00003238706,"threshold_uncertainty_score":0.99960554},"labels":[],"label_agreement":null},{"id":"W27804104","doi":"10.1093/forestscience/49.4.509","title":"The Influence of Fire Weather and Land Use on the Fire Activity of the Lake Abitibi Area, Eastern Canada","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","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":true,"ca_institutions":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Forest Service; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"","keywords":"Geography; Forestry; Boreal; Physical geography; Deciduous; Taiga; Population; Environmental science; Archaeology; Ecology","score_opus":0.006159194991440718,"score_gpt":0.1782826660297014,"score_spread":0.17212347103826067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W27804104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984566,0.000012824752,0.0000031303907,0.00031078057,0.000111995345,0.00029348195,0.00001808916,0.000003789845,0.0007893112],"genre_scores_gemma":[0.9994479,0.0000043171085,0.000004954403,0.00010304067,0.0000037426282,0.00000897729,6.036997e-8,0.000004817833,0.000422237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864393,0.00010893823,0.00012631342,0.00022422096,0.0006457398,0.000250838],"domain_scores_gemma":[0.9986856,0.0005239309,0.00014730383,0.0005677064,0.000016871334,0.000058610014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007374013,0.000102481325,0.00009576911,0.0000064680794,0.00044920124,0.000048365993,0.00064057874,0.0000229867,0.00002937942],"category_scores_gemma":[0.0006547977,0.000045424196,0.000023346855,0.00038149016,0.0013610135,0.00023776173,0.00016271805,0.00010494431,0.000005502024],"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":[0.000006823045,0.000018448429,0.9900753,0.0000057677985,0.000002334672,0.0000010533737,0.0001724245,0.00636556,0.0020777583,0.00034794028,0.00028424483,0.00064233056],"study_design_scores_gemma":[0.00006916488,0.00004160524,0.9875668,0.000054686934,0.000002974486,0.00000544934,0.000024988183,0.008817808,0.0015765338,0.00012351475,0.0016492079,0.00006725708],"about_ca_topic_score_codex":0.24137689,"about_ca_topic_score_gemma":0.81260484,"teacher_disagreement_score":0.57122797,"about_ca_system_score_codex":0.000075298514,"about_ca_system_score_gemma":0.00011252041,"threshold_uncertainty_score":0.76367486},"labels":[],"label_agreement":null},{"id":"W2799746436","doi":"10.1093/forsci/fxy006","title":"A New Optimization Model for Spatially Constrained Harvest Scheduling under Area Restrictions through Maximum Flow Problem","year":2018,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":"Government of British Columbia","funders":"","keywords":"A priori and a posteriori; Mathematical optimization; Time horizon; Scheduling (production processes); Flow network; Component (thermodynamics); Path (computing); Maximum flow problem; Computer science; Flow (mathematics); Connection (principal bundle); Adjacency list; Mathematics; Algorithm","score_opus":0.030934682951124476,"score_gpt":0.2641677153873041,"score_spread":0.23323303243617963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799746436","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010525507,0.0000030980907,0.96477324,0.0010297712,0.00019590699,0.00062254193,0.000011788073,0.00010268662,0.022735491],"genre_scores_gemma":[0.3910812,0.0000055220316,0.60360837,0.00037072622,0.00013110838,0.00003695377,0.000013405528,0.000015218756,0.004737477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982442,0.000010455999,0.00024152616,0.0005160218,0.00043308764,0.0005546849],"domain_scores_gemma":[0.99928564,0.00003191454,0.000113445276,0.00034078973,0.000046840203,0.00018138143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032161683,0.00017194562,0.00011458296,0.00009807689,0.0008171809,0.00023026876,0.00057996187,0.000058030604,0.00081175164],"category_scores_gemma":[0.00010453602,0.00015781082,0.000053184514,0.001040631,0.0011958702,0.0013782284,0.0002407297,0.00007455659,0.00033093122],"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":[0.000013654066,0.000025541374,0.0009475048,0.0000035966316,0.000003023388,3.045764e-7,0.00036322512,0.96251106,0.00017545909,0.0317183,0.0037342536,0.0005040565],"study_design_scores_gemma":[0.00037063158,0.00012384134,0.0004425981,0.00001783272,0.000014949449,0.0000024790486,0.0000149107755,0.9501453,0.000035484052,0.04754425,0.0010933426,0.00019438185],"about_ca_topic_score_codex":0.0009156588,"about_ca_topic_score_gemma":0.0016934325,"teacher_disagreement_score":0.38055572,"about_ca_system_score_codex":0.0001620302,"about_ca_system_score_gemma":0.00021162201,"threshold_uncertainty_score":0.8888111},"labels":[],"label_agreement":null},{"id":"W2800758442","doi":"10.1093/forsci/fxy001","title":"Identifying Key Factors for the Success of a Regional Logistic Center","year":2018,"lang":"en","type":"article","venue":"Forest Science","topic":"Vehicle Routing Optimization Methods","field":"Engineering","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":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Center (category theory); Key (lock); Logistic regression; Geography; Medicine; Biology; Ecology","score_opus":0.09065658436735671,"score_gpt":0.34740818640079074,"score_spread":0.25675160203343406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800758442","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22981657,0.000017710749,0.76933616,0.000032650267,0.00043611895,0.00009773486,0.000005065924,0.000046932408,0.00021107128],"genre_scores_gemma":[0.96976954,0.0000031082636,0.030098435,0.000016898919,0.0000636406,0.000006045199,0.0000012021334,0.000008390744,0.000032755146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993474,0.000009114849,0.0001282434,0.00011850684,0.000202924,0.00019384988],"domain_scores_gemma":[0.9993576,0.00024898862,0.000038290957,0.00018537763,0.00013454101,0.00003521066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052614615,0.000058609094,0.00006342641,0.00006751551,0.00019923421,0.00005085244,0.0004269307,0.00001918844,0.000014687808],"category_scores_gemma":[0.0004019255,0.00004065949,0.000028702778,0.00039823775,0.0006003611,0.00017156462,0.00004478306,0.000039723873,0.0000037163416],"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":[0.000011091687,0.000022088685,0.10139798,0.00008534167,0.000017465316,3.5520955e-7,0.0028367732,0.84441876,0.0053434055,0.044124775,0.00077576225,0.0009661889],"study_design_scores_gemma":[0.00012429722,0.000023324286,0.051705446,0.000030872205,0.0000063895377,0.0000020027796,0.00009433104,0.94247043,0.0035186785,0.0015395614,0.0004036699,0.00008101253],"about_ca_topic_score_codex":0.000015270296,"about_ca_topic_score_gemma":0.000025165382,"teacher_disagreement_score":0.7399529,"about_ca_system_score_codex":0.000029204553,"about_ca_system_score_gemma":0.000028130056,"threshold_uncertainty_score":0.22120555},"labels":[],"label_agreement":null},{"id":"W2803672705","doi":"10.1093/forsci/fxy013","title":"Climatic Effects on Site Productivity of Red Pine Plantations","year":2018,"lang":"en","type":"article","venue":"Forest Science","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":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry","funders":"","keywords":"Site index; Environmental science; Precipitation; Climate change; Productivity; Representative Concentration Pathways; Growing season; Physical geography; Climatology; Geography; Ecology; Climate model; Atmospheric sciences; Forestry; Meteorology; Biology; Geology","score_opus":0.006544411477777156,"score_gpt":0.2335187393367107,"score_spread":0.22697432785893354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803672705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826057,0.000001050646,0.0019240696,0.0003149312,0.0002730721,0.00028046378,0.0000018676429,0.00002352194,0.0145753],"genre_scores_gemma":[0.99840504,0.0000010491246,0.0010413768,0.00013175566,0.00003207808,0.000017896897,0.0000015741718,0.0000030345423,0.00036621807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990802,0.00002303477,0.000105607985,0.0002823697,0.0002787326,0.00023005986],"domain_scores_gemma":[0.9995123,0.000053261305,0.00007112635,0.0002976606,0.000011475898,0.000054149023],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005022503,0.00006672035,0.0000781172,0.00006319644,0.00026489116,0.000010236969,0.0002771305,0.000018154129,0.00024067018],"category_scores_gemma":[0.00022454912,0.00005450162,0.000016695518,0.0005488773,0.0014625854,0.00024912474,0.00018816743,0.000044892575,0.0009618025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016655987,0.00081714574,0.54740614,0.000132305,0.000016586095,0.000020036578,0.0021203016,0.016154343,0.09656388,0.3202861,0.013052373,0.0032642747],"study_design_scores_gemma":[0.00016249153,0.0005434641,0.96247935,0.000019963087,0.0000073831216,0.000002230199,0.000008367232,0.002896226,0.010849871,0.02250162,0.00044897987,0.0000800438],"about_ca_topic_score_codex":0.00005491663,"about_ca_topic_score_gemma":0.0005887572,"teacher_disagreement_score":0.41507325,"about_ca_system_score_codex":0.000059549442,"about_ca_system_score_gemma":0.00001315007,"threshold_uncertainty_score":0.99981606},"labels":[],"label_agreement":null},{"id":"W2884359305","doi":"10.1093/forestscience/52.2.148","title":"A New Type of Sample Plot that Is Particularly Useful for Sampling Small Clusters of Objects","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Bayesian Methods and Mixture Models","field":"Computer 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":"Resolute Forest Products (Canada)","funders":"","keywords":"Sampling (signal processing); Plot (graphics); Sample (material); Statistics; Mathematics; Computer science; Chromatography; Chemistry","score_opus":0.0827122754079726,"score_gpt":0.30836244282344955,"score_spread":0.22565016741547694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884359305","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08479728,0.00013390626,0.914171,0.00012477106,0.0002996753,0.00023463703,0.0000058266587,0.000028523324,0.00020438407],"genre_scores_gemma":[0.45526123,0.0000015327985,0.54451215,0.00011193185,0.000025726955,0.000003910745,5.7536386e-7,0.000004514661,0.00007838507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985992,0.000022187156,0.00025340996,0.00041319017,0.00034439523,0.00036763024],"domain_scores_gemma":[0.99871016,0.00021073771,0.00017982822,0.0005547372,0.00022592777,0.00011861447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006710395,0.000118612115,0.000210016,0.00014934609,0.00010769258,0.000093390554,0.0010956594,0.00004633921,0.0000027178576],"category_scores_gemma":[0.00016710412,0.00010032743,0.00008574243,0.00086382194,0.00019342967,0.00043332617,0.00020618811,0.00005277905,0.0000014677237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048954294,0.0001679415,0.011475539,0.0001401961,0.000016553839,0.0000015147596,0.0028639485,0.0043948935,0.017251952,0.92957896,0.0012523807,0.03280715],"study_design_scores_gemma":[0.0006069014,0.0004537686,0.00945627,0.00016073477,0.000029734143,0.000009686163,0.00003264997,0.13284424,0.07264689,0.78179663,0.0016059112,0.00035656584],"about_ca_topic_score_codex":0.0008825874,"about_ca_topic_score_gemma":0.00014245648,"teacher_disagreement_score":0.37046397,"about_ca_system_score_codex":0.000024592482,"about_ca_system_score_gemma":0.00064165937,"threshold_uncertainty_score":0.4091234},"labels":[],"label_agreement":null},{"id":"W2894660057","doi":"10.1093/forestscience/54.2.158","title":"Differences in Spruce Budworm Defoliation among Balsam Fir and White, Red, and Black Spruce","year":2008,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":138,"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":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; BIOCAP Canada","keywords":"Spruce budworm; Balsam; Abies balsamea; Choristoneura fumiferana; Black spruce; Biology; Forestry; Ecology; Botany; PEST analysis; Taiga; Geography; Tortricidae","score_opus":0.008823649325332016,"score_gpt":0.19713068687673008,"score_spread":0.18830703755139805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894660057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963179,0.000026413563,0.00014142599,0.00016948201,0.00012447045,0.00031331822,0.000002447292,0.000034004912,0.0028705434],"genre_scores_gemma":[0.9991767,0.000047032576,0.00041383153,0.00004760131,0.000028463633,0.000015221199,7.7649895e-7,0.00000781459,0.00026258145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982194,0.000045862726,0.00022108477,0.0005617266,0.00051745836,0.00043451588],"domain_scores_gemma":[0.9993612,0.00009030386,0.0001011983,0.0002534957,0.00001011647,0.00018365425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006689705,0.00015592932,0.0001908554,0.00010724601,0.00030275257,0.00008566892,0.00035057424,0.000059908758,0.000072855226],"category_scores_gemma":[0.00022300184,0.00013268815,0.000015653912,0.00078709197,0.0020092563,0.0010243913,0.00028294817,0.00012216622,0.00007413618],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053007757,0.000020207834,0.99705416,0.00000899318,6.141369e-7,0.000010958306,0.00052998896,0.0002687712,0.0014462342,0.000081211125,0.00019858194,0.00037496025],"study_design_scores_gemma":[0.00021989351,0.0000763102,0.9330436,0.000039951152,0.0000019139056,0.000027353442,0.000054153992,0.0657654,0.00014200929,0.00039784028,0.00006863054,0.00016296303],"about_ca_topic_score_codex":0.0020009459,"about_ca_topic_score_gemma":0.007555448,"teacher_disagreement_score":0.06549663,"about_ca_system_score_codex":0.00013568149,"about_ca_system_score_gemma":0.000021874162,"threshold_uncertainty_score":0.7403189},"labels":[],"label_agreement":null},{"id":"W29047121","doi":"10.1093/forestscience/49.2.209","title":"Coarse Filter Ecosystem Management in a Nonequilibrating Forest","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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 Alberta","funders":"","keywords":"Disturbance (geology); Environmental science; Forest ecology; Taiga; Forest management; Habitat; Population; Ecology; Ecosystem; Geography; Agroforestry; Forestry","score_opus":0.011380976292156026,"score_gpt":0.2307359877484,"score_spread":0.21935501145624398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W29047121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7530342,0.000006596795,0.00031126317,0.000078623525,0.00022221664,0.00038070825,0.0000016109323,0.00003888938,0.2459259],"genre_scores_gemma":[0.9919187,0.0000051767547,0.003190439,0.0002280391,0.000026392077,0.000055371846,0.0000020981981,0.000013302077,0.0045605274],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785155,0.000043162723,0.00028271225,0.0005381858,0.0005714859,0.00071293046],"domain_scores_gemma":[0.99926376,0.000023798159,0.00008068225,0.0004744104,0.000005352486,0.00015199598],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009736358,0.00017362267,0.00013105621,0.00020283955,0.00022888674,0.00014260439,0.000714022,0.000033561337,0.0019320645],"category_scores_gemma":[0.00006606327,0.0001552152,0.00004245045,0.0014660864,0.00038086815,0.0008724077,0.00041211754,0.000099549994,0.003538938],"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":[0.000010851549,0.00017690111,0.5338224,0.000041854717,0.0000074244704,0.0001254455,0.00078701024,0.17838259,0.0005785925,0.2730004,0.0109892385,0.0020772715],"study_design_scores_gemma":[0.0017050264,0.0002220097,0.1418691,0.00013368991,0.000023733877,0.000034975896,0.00027794697,0.71043557,0.0003014579,0.0117803775,0.13203828,0.001177818],"about_ca_topic_score_codex":0.00021870203,"about_ca_topic_score_gemma":0.0032754908,"teacher_disagreement_score":0.532053,"about_ca_system_score_codex":0.00021337581,"about_ca_system_score_gemma":0.00001861206,"threshold_uncertainty_score":0.9989803},"labels":[],"label_agreement":null},{"id":"W2905023181","doi":"10.1093/forestscience/57.4.301","title":"Testing for Nonlinear Spatial Integration in Roundwood Markets","year":2011,"lang":"en","type":"article","venue":"Forest Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","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":"Canadian Forest Service","funders":"","keywords":"Nonlinear system; Econometrics; Environmental science; Economics; Mathematics; Physics","score_opus":0.05292902996373437,"score_gpt":0.2613069775609095,"score_spread":0.2083779475971751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905023181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738535,0.0000065841436,0.0102334265,0.000041040872,0.00047084718,0.00029123653,0.0000013099983,0.000058516966,0.01504349],"genre_scores_gemma":[0.99379313,2.0311963e-7,0.0057972367,0.000110842804,0.00021850674,0.00002784138,0.000005265519,0.000008825732,0.000038156086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990995,0.0000037594953,0.00018002896,0.0002544122,0.0001801087,0.00028221254],"domain_scores_gemma":[0.9995188,0.00006914803,0.00009039692,0.00014373862,0.00016681376,0.000011076975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010390118,0.00009279863,0.00008606779,0.0003015759,0.00020769332,0.00020051155,0.00030323947,0.000025341842,0.00007036121],"category_scores_gemma":[0.00084543973,0.00008360728,0.000025818541,0.0008862225,0.00012539963,0.0013319685,0.000115681076,0.0000704843,0.00002282824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004860675,0.00006362171,0.856844,0.000025334439,7.121299e-7,0.000003894571,0.000106492866,0.000011249574,0.0016708418,0.0057798107,0.0000377447,0.13540772],"study_design_scores_gemma":[0.0002694385,0.000013486941,0.9052365,0.00006447566,0.000011283721,0.0000012599369,0.00007694856,0.08976587,0.00013263924,0.0037178216,0.00056467624,0.00014561047],"about_ca_topic_score_codex":0.0029544588,"about_ca_topic_score_gemma":0.0034015127,"teacher_disagreement_score":0.1352621,"about_ca_system_score_codex":0.000023676026,"about_ca_system_score_gemma":0.000045431683,"threshold_uncertainty_score":0.44662777},"labels":[],"label_agreement":null},{"id":"W2922443277","doi":"10.1093/forsci/fxy070","title":"A Jackknife Estimator of Variance for a Random Tessellated Stratified Sampling Design","year":2019,"lang":"en","type":"article","venue":"Forest Science","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","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":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Jackknife resampling; Estimator; Statistics; Stratified sampling; Simple random sample; Sampling design; Variance (accounting); Mathematics; Sampling (signal processing); Population variance; Poisson sampling; Population; Bias of an estimator; Econometrics; Minimum-variance unbiased estimator; Computer science; Importance sampling; Monte Carlo method; Slice sampling; Accounting","score_opus":0.15622286776024136,"score_gpt":0.3853165975245371,"score_spread":0.22909372976429576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922443277","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16240013,0.0000108233435,0.8362434,0.000029032637,0.00011831771,0.0008015506,0.0000105908075,0.00014981737,0.00023632475],"genre_scores_gemma":[0.5713018,8.185533e-7,0.4285636,0.000010148294,0.00000905748,0.00003613909,0.0000018038364,0.000009464709,0.00006713743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987007,0.00003515233,0.00036877304,0.00029599754,0.00031996524,0.00027941298],"domain_scores_gemma":[0.99673223,0.0022333115,0.00023753002,0.00038534877,0.00034373451,0.00006783411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029568018,0.00012182514,0.00026708102,0.00013570682,0.00015290044,0.00006764697,0.00040290915,0.000057786765,0.00003094211],"category_scores_gemma":[0.0034255327,0.00010398622,0.000055294367,0.00052434823,0.00019618683,0.0002360539,0.000033908593,0.00006507311,0.000015360836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007281222,0.00032523414,0.0038320734,0.000772102,0.000041764873,0.000001125716,0.0012778887,0.07177999,0.14351,0.7742259,0.0014989759,0.0020068192],"study_design_scores_gemma":[0.0009495452,0.00017904676,0.0005199523,0.00022634909,0.000015265794,0.0000034964203,0.000038125472,0.34313554,0.040788483,0.613929,0.000025314257,0.00018992774],"about_ca_topic_score_codex":0.000020464502,"about_ca_topic_score_gemma":0.0000028537195,"teacher_disagreement_score":0.4089017,"about_ca_system_score_codex":0.000029446155,"about_ca_system_score_gemma":0.00026159594,"threshold_uncertainty_score":0.4240435},"labels":[],"label_agreement":null},{"id":"W292433582","doi":"10.1093/forestscience/51.2.109","title":"Comparison of Nearest Neighbor Methods for Estimating Basal Area and Stems per Hectare Using Aerial Auxiliary Variables","year":2005,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"k-nearest neighbors algorithm; Basal area; Mathematics; Statistics; Euclidean distance; Hectare; Aerial photography; Geography; Remote sensing; Forestry; Geometry; Ecology; Artificial intelligence; Computer science; Biology","score_opus":0.039865816591870905,"score_gpt":0.3631566324205403,"score_spread":0.3232908158286694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W292433582","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48300183,0.00003148586,0.5153569,0.00009971796,0.00043926874,0.00035358532,0.0000054869406,0.000020498186,0.0006912591],"genre_scores_gemma":[0.5766363,6.257615e-7,0.42319867,0.000050480583,0.000051497806,0.000014672109,0.0000016474248,0.0000055131572,0.000040568535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986358,0.000047072375,0.00028967072,0.00040175996,0.00022698664,0.0003986614],"domain_scores_gemma":[0.99930316,0.0001930924,0.00015520879,0.0002173356,0.000020978896,0.00011020514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012934,0.00013259445,0.0002183599,0.00006524608,0.00050897204,0.00005617188,0.00036585866,0.00006373974,0.00025164953],"category_scores_gemma":[0.00027919584,0.00011744483,0.000033633318,0.00027263322,0.0011577089,0.00054197555,0.00040471755,0.000084171916,0.000010237086],"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":[0.000073914896,0.00018825453,0.1532152,0.000052715513,0.000012087127,9.20285e-7,0.0012439745,0.7850692,0.02058647,0.029816035,0.0009511414,0.008790045],"study_design_scores_gemma":[0.00028599545,0.0001325192,0.029288413,0.000020375548,0.000021055917,0.0000031945706,0.00013000374,0.9606753,0.0013218775,0.006753827,0.0012217588,0.00014570079],"about_ca_topic_score_codex":0.00028377282,"about_ca_topic_score_gemma":0.00039620878,"teacher_disagreement_score":0.17560603,"about_ca_system_score_codex":0.00012010519,"about_ca_system_score_gemma":0.00004675802,"threshold_uncertainty_score":0.47892612},"labels":[],"label_agreement":null},{"id":"W2924809955","doi":"10.1093/forestscience/54.2.195","title":"The Severity of Budworm-Caused Growth Reductions in Balsam Fir/Spruce Stands Varies with the Hardwood Content of Surrounding Forest Landscapes","year":2008,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; Government of British Columbia; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service","keywords":"Balsam; Hardwood; Spruce budworm; Forestry; Abies balsamea; Environmental science; Agroforestry; Ecology; PEST analysis; Geography; Biology; Botany; Tortricidae","score_opus":0.018757196772944403,"score_gpt":0.2145051100420534,"score_spread":0.19574791326910898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924809955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964929,0.000032545948,0.0007855116,0.0005605374,0.00015791478,0.0003235137,0.0000063295843,0.000013794697,0.0016269594],"genre_scores_gemma":[0.9993597,0.000066750734,0.00018840638,0.00003631561,0.000011222077,0.000038713933,0.000001255055,0.0000054462353,0.00029214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985295,0.0000554802,0.00025541693,0.00026612543,0.00051796,0.0003755062],"domain_scores_gemma":[0.99916357,0.00020901275,0.0001802525,0.00034985304,0.000042617907,0.000054687916],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011092905,0.0001195575,0.00015987743,0.00006440153,0.0009306669,0.000026142572,0.00072667765,0.000033179527,0.000055076245],"category_scores_gemma":[0.00018059347,0.0000646497,0.00003828097,0.0009507714,0.003867252,0.00042756286,0.00026774048,0.00013409427,0.000008705776],"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":[0.000098379045,0.00013599219,0.93351084,0.000011545051,0.0000159525,0.0000075990524,0.0012877021,0.01483795,0.0018808254,0.04755932,0.00059101504,0.00006286253],"study_design_scores_gemma":[0.00030461184,0.0001699243,0.99325836,0.000017977898,0.000010898119,0.000024710673,0.0008279632,0.0012277224,0.000946388,0.002844463,0.00027492887,0.000092054004],"about_ca_topic_score_codex":0.0014552597,"about_ca_topic_score_gemma":0.023769572,"teacher_disagreement_score":0.059747502,"about_ca_system_score_codex":0.000119788645,"about_ca_system_score_gemma":0.000085694,"threshold_uncertainty_score":0.99884367},"labels":[],"label_agreement":null},{"id":"W2938254499","doi":"10.1093/forsci/fxz008","title":"Potential for Sugar Maple to Provide High-Quality Sawlog Trees at the Northern Edge of Its Range","year":2019,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Insect Ecology and Management","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":"Ministère des Ressources naturelles et des Forêts","funders":"Ministère des Forêts, de la Faune et des Parcs","keywords":"Maple; Silviculture; Yellow birch; Sugar; Range (aeronautics); Forestry; Selection (genetic algorithm); Environmental science; Agroforestry; Biology; Botany; Geography","score_opus":0.00980757866920111,"score_gpt":0.23974921734669236,"score_spread":0.22994163867749123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938254499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994822,0.00001322443,0.00086654286,0.00066625763,0.00046817944,0.0012881772,0.000026884176,0.000020362888,0.0018283443],"genre_scores_gemma":[0.9926942,0.000002304525,0.00035252562,0.0003870718,0.000026290805,0.00009436187,0.0000042388538,0.0000075509543,0.00643143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984955,0.00003469552,0.00021492568,0.00042111988,0.00041776628,0.00041598314],"domain_scores_gemma":[0.99922854,0.000081048674,0.000112594564,0.00046030464,0.000027385948,0.00009014055],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010765743,0.00011225954,0.00014105721,0.000042434418,0.00034253398,0.000022992695,0.00085367647,0.000039473132,0.00094648503],"category_scores_gemma":[0.0001393267,0.00007579188,0.00006408528,0.0003934879,0.0006492603,0.0002308956,0.0006913262,0.000051835083,0.0014323205],"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":[0.00045933385,0.00029429342,0.7005088,0.000088203036,0.000021782373,0.000004254339,0.0014779175,0.1389152,0.10533467,0.041622244,0.007868898,0.0034044439],"study_design_scores_gemma":[0.0004267228,0.00031443505,0.98314697,0.0000073668143,0.000011318379,0.0000020160762,0.00006375364,0.0013272116,0.0033161242,0.00271332,0.008519237,0.00015155188],"about_ca_topic_score_codex":0.00065556174,"about_ca_topic_score_gemma":0.02556945,"teacher_disagreement_score":0.2826382,"about_ca_system_score_codex":0.00017259004,"about_ca_system_score_gemma":0.00003212946,"threshold_uncertainty_score":0.9999668},"labels":[],"label_agreement":null},{"id":"W2941170782","doi":"10.1093/forestscience/52.3.281","title":"Evaluation of Selfing Effects on Western Redcedar Growth and Yield in Operational Plantations Using the Tree and Stand Simulator (TASS)","year":2006,"lang":"en","type":"article","venue":"Forest Science","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":"Government of British Columbia; University of British Columbia","funders":"","keywords":"Selfing; Yield (engineering); Tree (set theory); Forestry; Loblolly pine; Environmental science; Mathematics; Biology; Pinus <genus>; Botany; Geography; Medicine; Physics","score_opus":0.01750443876585546,"score_gpt":0.26509255801258286,"score_spread":0.2475881192467274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941170782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755,0.00001970308,0.0011013666,0.00020927878,0.00003895662,0.00027552247,0.000001813634,0.0000036250588,0.0007997229],"genre_scores_gemma":[0.99965245,0.0000028989573,0.00023112998,0.000082605424,0.000008642942,0.000010134047,8.93749e-7,0.0000019482889,0.000009288253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991607,0.000042696323,0.00010016358,0.00017456057,0.00040727097,0.00011459494],"domain_scores_gemma":[0.9996982,0.00015141483,0.00003955216,0.000076139724,0.000014450664,0.000020233258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010403596,0.00005191562,0.00005102446,0.000044323737,0.00022258793,0.000029063622,0.00009185196,0.000018670324,0.000011568707],"category_scores_gemma":[0.00014054347,0.00003782664,0.0000050541994,0.00024188915,0.00033436535,0.00024620414,0.00008103853,0.00003963115,0.0000022375584],"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":[0.000013028729,0.00004428397,0.4587372,0.000010751882,0.0000023338964,0.0000016998592,0.00035622332,0.49857402,0.009090314,0.032848682,0.00004090575,0.00028056282],"study_design_scores_gemma":[0.0002571833,0.000051384577,0.8116491,0.000021801547,0.000013549617,0.0000022467593,0.00002747681,0.1761391,0.0013294719,0.010461657,0.0000036687118,0.00004336642],"about_ca_topic_score_codex":0.00039987097,"about_ca_topic_score_gemma":0.004223074,"teacher_disagreement_score":0.3529119,"about_ca_system_score_codex":0.00006987076,"about_ca_system_score_gemma":0.00003145956,"threshold_uncertainty_score":0.23565744},"labels":[],"label_agreement":null},{"id":"W2941529111","doi":"10.1093/forestscience/52.5.595","title":"An Econometric Analysis of the Effect of Forest Dependence on the Economic Well-Being of Canadian Communities","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Econometric analysis; Econometric model; Economic analysis; Economics; Econometrics; Natural resource economics; Environmental science; Agricultural economics","score_opus":0.006494091377321644,"score_gpt":0.20818106417112728,"score_spread":0.20168697279380562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941529111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94128805,0.000004725974,0.0000061735127,0.00008424255,0.00005938776,0.00019038186,0.00001270046,0.0000037649418,0.05835059],"genre_scores_gemma":[0.9997166,0.0000047400304,0.000018354864,0.000042149826,0.000009753531,0.0000069752814,0.000003636536,0.0000047774383,0.00019301212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989165,0.00008741391,0.00026128587,0.00016360504,0.00028270262,0.00028846855],"domain_scores_gemma":[0.9986427,0.00027210067,0.00022461664,0.0007862219,0.00000796616,0.00006643267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011323192,0.00010941911,0.0001950569,0.0010057349,0.00030627468,0.00003412829,0.0017615432,0.000026297384,0.0007294455],"category_scores_gemma":[0.00003919683,0.00006529445,0.000115217044,0.0037500914,0.0017790247,0.00027980722,0.00019873305,0.00007627867,0.00005897201],"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":[0.0000028276916,0.000005652702,0.5711729,0.000002951874,0.000008758586,9.181168e-8,0.00013192996,0.406779,0.000034004526,0.021716524,0.00009837172,0.000047004145],"study_design_scores_gemma":[0.00006964568,0.00016637378,0.88815147,0.000010273886,0.000075076976,2.6296854e-7,0.000052546482,0.108838126,0.0014099133,0.0009219908,0.00022750234,0.00007684785],"about_ca_topic_score_codex":0.6383252,"about_ca_topic_score_gemma":0.7738779,"teacher_disagreement_score":0.31697854,"about_ca_system_score_codex":0.0001936078,"about_ca_system_score_gemma":0.000052255764,"threshold_uncertainty_score":0.79869163},"labels":[],"label_agreement":null},{"id":"W2944263248","doi":"10.1093/forsci/fxz013","title":"Optimal Design of a Forest-Based Biomass Supply Chain Based on the Decision maker’s Viewpoint Towards Risk","year":2019,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Biomass Utilization and Management","field":"Engineering","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":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioenergy; Biomass (ecology); Supply chain; Biofuel; Investment (military); Supply chain optimization; Regret; Pessimism; Environmental economics; Production (economics); Economics; Business; Natural resource economics; Supply chain management; Microeconomics; Computer science; Engineering; Marketing; Waste management; Ecology","score_opus":0.013810244168189694,"score_gpt":0.22458369300642592,"score_spread":0.21077344883823623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944263248","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3362974,0.000028700486,0.6612267,0.00024628156,0.00036660657,0.00073266315,0.000017282206,0.00011770144,0.0009667156],"genre_scores_gemma":[0.98573613,0.000009987442,0.013904234,0.00021798808,0.00001250659,0.000047729067,0.0000059950353,0.000022798815,0.000042635813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981967,0.000047129368,0.00028732378,0.00032133659,0.0007624855,0.00038502977],"domain_scores_gemma":[0.9988556,0.00020074043,0.00008811663,0.00066412747,0.000088639346,0.00010275971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013663647,0.00019403863,0.00017059405,0.0003471255,0.00013024521,0.00007890062,0.00070514856,0.000053048087,0.00017976352],"category_scores_gemma":[0.00021616604,0.000131273,0.000083715066,0.0011250372,0.00028762562,0.00013504914,0.00007691872,0.00009580013,0.00014356557],"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":[0.000045004355,0.000037633006,0.0046556084,0.000035326204,0.0000045783163,0.0000021894732,0.00003723357,0.98200697,0.001049307,0.010352643,0.0007404636,0.0010330383],"study_design_scores_gemma":[0.00048047808,0.00024167812,0.028643562,0.000105029416,0.000009106345,4.833741e-7,0.000026146365,0.9624893,0.0059996783,0.0006714847,0.0011722987,0.00016077024],"about_ca_topic_score_codex":0.00003710764,"about_ca_topic_score_gemma":0.000051714385,"teacher_disagreement_score":0.64943874,"about_ca_system_score_codex":0.00010816451,"about_ca_system_score_gemma":0.00012059323,"threshold_uncertainty_score":0.5353158},"labels":[],"label_agreement":null},{"id":"W2944731518","doi":"10.1093/forsci/fxz019","title":"Developing Methods for Truck Route Selection and Cost Modeling in Steeper Topographies","year":2019,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":"Université Laval","funders":"","keywords":"Truck; Profit (economics); Transport engineering; Payment; Computer science; Tariff; Business; Environmental economics; Microeconomics; Economics; Automotive engineering; Engineering","score_opus":0.033800927229346814,"score_gpt":0.3306321225103477,"score_spread":0.2968311952810009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944731518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9202232,0.000014215378,0.07619123,0.00016070713,0.0001281419,0.00048775008,6.026686e-7,0.000021711074,0.0027724425],"genre_scores_gemma":[0.9159849,0.000016319469,0.08307589,0.000130993,0.000013566945,0.000036613794,0.000001087205,0.0000059748077,0.0007346429],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999059,0.000018473876,0.00012984684,0.0003174218,0.00014899755,0.00032622044],"domain_scores_gemma":[0.9997591,0.00004174597,0.00003266587,0.00010900598,0.000008612564,0.000048904414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087599433,0.00008618043,0.0000893546,0.00017880055,0.00016974914,0.00008177466,0.00022535151,0.000027111175,0.00008041471],"category_scores_gemma":[0.00005278685,0.00007664448,0.00001976334,0.00096963224,0.00018127382,0.00063754903,0.00017267412,0.000051620373,0.000057480782],"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":[0.000021831476,0.000013932015,0.6029546,0.000023968249,0.000002679791,2.2395325e-7,0.00076752924,0.2856031,0.0016273661,0.083561756,0.000088723005,0.025334256],"study_design_scores_gemma":[0.00023222441,0.000039329872,0.03550368,0.000014850532,0.0000027240046,0.0000014751101,0.000043035543,0.9454863,0.000106974185,0.0138503555,0.0045752274,0.00014379776],"about_ca_topic_score_codex":0.00065592834,"about_ca_topic_score_gemma":0.0011709476,"teacher_disagreement_score":0.6598832,"about_ca_system_score_codex":0.000114577015,"about_ca_system_score_gemma":0.000019654799,"threshold_uncertainty_score":0.31254712},"labels":[],"label_agreement":null},{"id":"W2948466418","doi":"10.1093/forestscience/50.5.729","title":"Aesthetic Impacts of Disturbances on Selected Boreal Forested Shorelines","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Wildlife-Road Interactions and Conservation","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":"Simon Fraser University; Ministry of Natural Resources and Forestry","funders":"","keywords":"Boreal; Taiga; Environmental science; Shore; Disturbance (geology); Geography; Physical geography; Forestry; Geology; Oceanography; Archaeology; Geomorphology","score_opus":0.007178887540374824,"score_gpt":0.23794415563859178,"score_spread":0.23076526809821696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948466418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99616545,0.000009877226,0.0005350151,0.0006357016,0.0001310185,0.00013998493,0.00000429961,0.000035099172,0.0023435461],"genre_scores_gemma":[0.9989453,0.0000070637134,0.0007753337,0.00016615048,0.000018650017,0.000011381318,0.0000061536816,0.00000622774,0.00006372336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987419,0.000011269075,0.00020426004,0.00028320792,0.0004821493,0.00027719274],"domain_scores_gemma":[0.9994642,0.000016705204,0.000111100926,0.00025631685,0.00004901486,0.00010264139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018807867,0.00010838356,0.00009881639,0.00007910313,0.0002035594,0.000041495994,0.00036496896,0.000029479595,0.00007667963],"category_scores_gemma":[0.00014924936,0.00008308259,0.000033923836,0.0012930604,0.0007348,0.00049070525,0.00006539736,0.00007890694,0.00010879557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011903986,0.00047963907,0.8604592,0.000008798229,0.0000036552392,0.000007585179,0.0007809054,0.08885177,0.021706875,0.020128982,0.0022800541,0.0051734983],"study_design_scores_gemma":[0.00024509206,0.00035113274,0.9865566,0.000051478524,0.0000048833645,0.000017974578,0.00004140339,0.0030986294,0.004409186,0.0046242466,0.00047248174,0.00012688468],"about_ca_topic_score_codex":0.0022931164,"about_ca_topic_score_gemma":0.0020542652,"teacher_disagreement_score":0.12609741,"about_ca_system_score_codex":0.00017185586,"about_ca_system_score_gemma":0.00008516568,"threshold_uncertainty_score":0.34665215},"labels":[],"label_agreement":null},{"id":"W2952378490","doi":"10.1093/forestscience/54.4.465","title":"Thinning Effects on Microbial Biomass, N Mineralization, and Tree Growth in a Mid-Rotation Fire-Origin Lodgepole Pine Stand in the Lower Foothills of Alberta, Canada","year":2008,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Foothills; Thinning; Pinus contorta; Biomass (ecology); Forestry; Mineralization (soil science); Environmental science; Ecology; Agroforestry; Agronomy; Biology; Geography","score_opus":0.00469309123733252,"score_gpt":0.19298208619044516,"score_spread":0.18828899495311263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952378490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984117,0.000030269599,0.00004545808,0.0003383309,0.00018563894,0.00044351252,0.000003340142,0.0000048091297,0.00053694425],"genre_scores_gemma":[0.99963415,0.000005634359,0.00009148567,0.00015612105,0.000016175618,0.00001805765,0.000002755756,0.0000070324795,0.00006857993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985316,0.00009336094,0.00023884236,0.0003263455,0.0005165632,0.00029329903],"domain_scores_gemma":[0.99933136,0.000307313,0.00010769527,0.00018344726,0.000013523706,0.000056687546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048110302,0.00012708332,0.000146004,0.00009271839,0.00014689204,0.000024693154,0.00033105444,0.00003403413,0.000009454826],"category_scores_gemma":[0.00035772406,0.000094107534,0.00001426994,0.001172807,0.00039503118,0.00030592672,0.000055807566,0.00007683736,0.000004509286],"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":[0.00003885594,0.0001300366,0.9541528,0.00006656685,0.0000018831835,0.00006125678,0.0032378205,0.0030049558,0.036368344,0.00037354964,0.0021984614,0.00036544751],"study_design_scores_gemma":[0.0006538018,0.00023881173,0.9761534,0.0001492295,0.0000022152856,0.000023702714,0.00002995782,0.012594561,0.009647541,0.000100045196,0.00025067528,0.00015607796],"about_ca_topic_score_codex":0.7915397,"about_ca_topic_score_gemma":0.9208545,"teacher_disagreement_score":0.1293148,"about_ca_system_score_codex":0.0003026313,"about_ca_system_score_gemma":0.00014478136,"threshold_uncertainty_score":0.38375938},"labels":[],"label_agreement":null},{"id":"W2969298818","doi":"10.1093/forestscience/52.6.704","title":"Historical Fire Cycles in the Canadian Rocky Mountain Parks","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Parks Canada; Canadian Forest Service","funders":"","keywords":"Geography; Forestry; Ecology; Environmental science; Biology","score_opus":0.0051299072748672596,"score_gpt":0.19506589887599443,"score_spread":0.18993599160112717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969298818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981423,0.000046258014,0.00004184698,0.0011642197,0.00023101734,0.00024386942,0.0000018153751,0.000019421394,0.016828546],"genre_scores_gemma":[0.9992231,5.7535146e-7,0.0000990334,0.00021137176,0.000054559714,0.000031728454,0.0000011227025,0.0000059121926,0.00037260866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982218,0.00005717153,0.00016892428,0.0003389274,0.00064804713,0.0005651427],"domain_scores_gemma":[0.9994042,0.000072140276,0.000044256387,0.00033957904,0.0000056211748,0.00013421987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012130594,0.00010389671,0.000091514594,0.000074446565,0.0005227482,0.0001165222,0.0009729794,0.00004843322,0.00009258598],"category_scores_gemma":[0.00010709026,0.00007368482,0.000025864896,0.0010009038,0.00037808192,0.0003402296,0.0000784257,0.00014236858,0.0004111252],"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":[0.0000016609013,0.000039506056,0.9684558,0.0000025759668,2.532544e-7,0.000049688937,0.0002887901,0.012770476,0.0003059546,0.0027230505,0.014164586,0.0011976584],"study_design_scores_gemma":[0.00007767861,0.00003149482,0.93235135,0.000008296957,0.000001223546,0.000020670128,0.000027492968,0.03550895,0.000030097952,0.002104381,0.029703083,0.00013527162],"about_ca_topic_score_codex":0.88740975,"about_ca_topic_score_gemma":0.9596264,"teacher_disagreement_score":0.07221664,"about_ca_system_score_codex":0.0032397837,"about_ca_system_score_gemma":0.00010591477,"threshold_uncertainty_score":0.84719217},"labels":[],"label_agreement":null},{"id":"W2978111919","doi":"10.1093/forsci/fxz053","title":"Forest Road Status Assessment Using Airborne Laser Scanning","year":2019,"lang":"en","type":"article","venue":"Forest Science","topic":"Remote Sensing and LiDAR Applications","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":"Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"","keywords":"Vegetation (pathology); Environmental science; Understory; Wildlife; Forest management; Remote sensing; Geography; Forestry; Environmental resource management; Agroforestry; Ecology; Canopy","score_opus":0.012523787483497976,"score_gpt":0.2770724635121496,"score_spread":0.2645486760286516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978111919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9601392,0.0000052603955,0.0037732078,0.00009771798,0.0002141103,0.00024098324,0.0000028454792,0.000054439024,0.035472196],"genre_scores_gemma":[0.9857725,0.0000020465313,0.013260324,0.0001234022,0.000031499694,0.000002015671,0.0000037190232,0.00001269003,0.0007918407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980486,0.00001918892,0.00017345723,0.00051109464,0.00065373845,0.000593933],"domain_scores_gemma":[0.9991181,0.000023978833,0.00009005648,0.00052960525,0.000020782856,0.00021749594],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047999792,0.00012772605,0.00011231964,0.00006964435,0.0004328348,0.0001250659,0.00040735316,0.000035352314,0.00043035735],"category_scores_gemma":[0.00003066045,0.00011296737,0.000039562725,0.00089530466,0.00061037944,0.0004934439,0.00027404213,0.00013216752,0.0010167196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039827974,0.00005670591,0.52699995,0.0000037364302,0.0000026304367,0.0000029963767,0.00025720985,0.42065024,0.04242451,0.0023014504,0.0002952468,0.007001333],"study_design_scores_gemma":[0.00011930666,0.00003565983,0.7021323,0.000017146082,0.000004845718,0.000008618027,0.00009456687,0.29205334,0.0005979131,0.00093884097,0.003831728,0.0001657672],"about_ca_topic_score_codex":0.0023979887,"about_ca_topic_score_gemma":0.00035344958,"teacher_disagreement_score":0.1751323,"about_ca_system_score_codex":0.00040746052,"about_ca_system_score_gemma":0.00012399108,"threshold_uncertainty_score":0.9997611},"labels":[],"label_agreement":null},{"id":"W2992897731","doi":"10.1093/forestscience/49.1.1","title":"An Indirect Search Algorithm for Harvest-Scheduling Under Adjacency Constraints","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tabu search; Adjacency list; Simulated annealing; Mathematical optimization; Best-first search; Hill climbing; Search algorithm; Algorithm; Guided Local Search; Computer science; Greedy algorithm; Scheduling (production processes); Integer programming; Beam search; Mathematics","score_opus":0.03399996158010347,"score_gpt":0.3140991011701756,"score_spread":0.2800991395900721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992897731","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.116883725,0.000031402167,0.8811337,0.000010416195,0.00034506642,0.0002129199,0.000009296257,0.00022957257,0.0011439099],"genre_scores_gemma":[0.49704042,0.0000032669495,0.5028539,0.000020411511,0.00002418267,0.000011297718,0.0000023185796,0.000016365926,0.000027865146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866605,0.000053172094,0.00017773239,0.0003005206,0.0002986097,0.00050394435],"domain_scores_gemma":[0.99925786,0.000116509924,0.00002301964,0.00026439392,0.00013865349,0.00019953403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018805508,0.00012240377,0.00012209393,0.00016975451,0.00028185095,0.00015765942,0.00033643589,0.000057990717,0.000047942798],"category_scores_gemma":[0.0002711946,0.00012714646,0.000031294963,0.000781585,0.00041480275,0.0005148523,0.000016796019,0.00013224124,0.000015674901],"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":[4.3939806e-7,0.000013795323,0.001030146,0.000009073407,0.0000033200154,7.9800833e-7,0.00016981387,0.9613118,0.0032024826,0.011678359,0.0000060623556,0.022573866],"study_design_scores_gemma":[0.00021311195,0.000037107904,0.0023268359,0.000015907188,0.0000040163663,0.000011463411,0.00013815021,0.9834641,0.012090328,0.001454203,0.000069302965,0.00017545506],"about_ca_topic_score_codex":0.0000033712224,"about_ca_topic_score_gemma":0.0000047291005,"teacher_disagreement_score":0.3801567,"about_ca_system_score_codex":0.00009396208,"about_ca_system_score_gemma":0.00019907129,"threshold_uncertainty_score":0.5184882},"labels":[],"label_agreement":null},{"id":"W3011706391","doi":"10.1093/forsci/fxz087","title":"Changes in Deadwood and Understory Vegetation 12 Years after Partial and Clearcut Harvesting in Mixedwood Stands of Western Quebec, Canada","year":2020,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological 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":true,"ca_institutions":"Université Laval; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada; Tembec","keywords":"Understory; Clearcutting; Basal area; Environmental science; Canopy; Biodiversity; Ecosystem; Vegetation (pathology); Forest ecology; Temperate rainforest; Silviculture; Forest management; Abundance (ecology); Ecology; Agroforestry; Forestry; Geography; Biology","score_opus":0.02148855529647997,"score_gpt":0.19058864050924587,"score_spread":0.1691000852127659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011706391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978179,0.00010407475,7.0560645e-7,0.001948787,0.000030740404,0.00006797551,0.0000048304214,0.0000041045105,0.000020880654],"genre_scores_gemma":[0.9997,0.000019027386,0.000013917861,0.00023219541,0.000015234694,0.0000022764293,9.2441144e-7,2.1256054e-7,0.000016227721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994372,0.000020878744,0.00007780374,0.00018013228,0.0001222882,0.00016165986],"domain_scores_gemma":[0.9998208,0.000060000108,0.000034483703,0.000014400594,0.000014203042,0.000056111694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013973811,0.000051063602,0.00008984191,0.000016271972,0.0000729204,0.000017628445,0.0000866477,0.000027796383,0.0000042063407],"category_scores_gemma":[0.0000595634,0.000026588279,0.000005369163,0.00021823747,0.00037300444,0.00014042742,0.0001027705,0.000056352394,4.6445294e-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":[0.000021776355,0.000006282157,0.9971624,0.000009053899,9.660165e-7,0.000012298027,0.0008314064,0.000018063178,0.0008306569,0.0000630899,0.000009956299,0.001034047],"study_design_scores_gemma":[0.000107222695,0.00011036792,0.998384,0.000019183426,0.0000019686315,7.160036e-7,0.00089845323,0.000113946655,0.000119460994,0.000046190402,0.00014235856,0.00005611382],"about_ca_topic_score_codex":0.20911275,"about_ca_topic_score_gemma":0.9965448,"teacher_disagreement_score":0.787432,"about_ca_system_score_codex":0.0000325946,"about_ca_system_score_gemma":0.000034623572,"threshold_uncertainty_score":0.79615384},"labels":[],"label_agreement":null},{"id":"W3019198624","doi":"10.1093/forestscience/52.4.443","title":"If America Had Canada's Stumpage System","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stumpage; Economics; Subsidy; Negotiation; Market system; Profit (economics); Valuation (finance); Allowance (engineering); Microeconomics; Business; Financial economics; Industrial organization; Market economy; Agricultural economics; Finance; Operations management","score_opus":0.003196371407284967,"score_gpt":0.18510919795456596,"score_spread":0.181912826547281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019198624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6972178,0.00000959499,0.000352658,0.00036584033,0.00033213853,0.000185485,0.0000059486156,0.000084330546,0.30144617],"genre_scores_gemma":[0.98920745,7.959422e-7,0.00034842445,0.00024625385,0.00009198637,0.000011362537,0.0000029280725,0.000007648853,0.0100831585],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818045,0.000013851189,0.00016024594,0.00034913406,0.0007563852,0.0005399241],"domain_scores_gemma":[0.9994173,0.000017069988,0.00007292826,0.00035417246,0.000007719892,0.00013081696],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021139924,0.00012265805,0.000098651435,0.00005467741,0.0004043406,0.00008883244,0.00075469067,0.000016303702,0.00059862447],"category_scores_gemma":[0.000018748025,0.00010459735,0.000025388434,0.0009745974,0.000597426,0.000308584,0.00030756704,0.000061130115,0.0016249666],"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":[0.000007765302,0.00006414402,0.30567908,0.000023056818,0.0000033843346,0.00008848286,0.00013035543,0.17406672,0.0010241901,0.07510898,0.4419708,0.0018330433],"study_design_scores_gemma":[0.00021652422,0.00006159081,0.41162336,0.00002145848,0.000010714602,0.000009744344,0.00008912605,0.08002879,0.0001507302,0.00068855355,0.50666255,0.00043688517],"about_ca_topic_score_codex":0.84305394,"about_ca_topic_score_gemma":0.55320984,"teacher_disagreement_score":0.29198962,"about_ca_system_score_codex":0.0005638172,"about_ca_system_score_gemma":0.00010632981,"threshold_uncertainty_score":0.99915236},"labels":[],"label_agreement":null},{"id":"W3027073339","doi":"10.1093/forestscience/52.4.367","title":"Market Performance of the Government-Controlled but Market-Based Stumpage System of Ontario","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Canadian Policy and Governance","field":"Social 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":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stumpage; Government (linguistics); Business; Agricultural economics; Economics; Forestry; Natural resource economics; Geography","score_opus":0.005456306593413414,"score_gpt":0.20274744111032758,"score_spread":0.19729113451691416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027073339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85546404,0.000028544497,0.000020767393,0.00031811147,0.00024315016,0.0003345615,0.00006059356,0.00000893405,0.1435213],"genre_scores_gemma":[0.97022116,0.0000019721376,0.00006464075,0.00009651129,0.00006364537,0.000014216862,1.1532558e-7,0.0000041117546,0.02953362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976007,0.00007977543,0.00031006723,0.00020466663,0.0013970053,0.0004078097],"domain_scores_gemma":[0.9989353,0.00013669234,0.00038995832,0.0003555433,0.0000922185,0.00009030872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017390184,0.00009646302,0.00022118709,0.000039853203,0.00052286475,0.000031416654,0.0009345635,0.000042686363,0.00014729697],"category_scores_gemma":[0.00024128826,0.000070863294,0.000109989705,0.00062176964,0.0012482898,0.00023351848,0.000056668443,0.00008483091,0.0000030331082],"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":[0.0007186383,0.00017635565,0.7819688,0.00018039726,0.0000173028,0.0000058380883,0.0034078066,0.0032598088,0.0014807235,0.17645958,0.03202462,0.00030017179],"study_design_scores_gemma":[0.0014765228,0.00006774586,0.9682104,0.00021975023,0.000022244605,0.0000011732096,0.00038909208,0.007415741,0.0015665563,0.0002153445,0.020244176,0.00017128153],"about_ca_topic_score_codex":0.5648018,"about_ca_topic_score_gemma":0.7706384,"teacher_disagreement_score":0.20583664,"about_ca_system_score_codex":0.0012777059,"about_ca_system_score_gemma":0.002969745,"threshold_uncertainty_score":0.52682},"labels":[],"label_agreement":null},{"id":"W3033327273","doi":"10.1093/forestscience/52.5.549","title":"Research and Development Operations and Foreign Expansion of Multinational Companies: Evidence from Forest Industry Microdata","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Microdata (statistics); Multinational corporation; Forest industry; Business; Industrial organization; Geography; Finance; Forestry","score_opus":0.08507181280747528,"score_gpt":0.31918656503202764,"score_spread":0.23411475222455236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033327273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958739,0.000094450676,0.002826705,0.00028527318,0.0000678744,0.0001461684,0.000007904731,0.000011790184,0.00068591395],"genre_scores_gemma":[0.99592346,0.0000043768814,0.0036495214,0.00006497153,0.0002004875,0.000014585129,0.000050482227,0.0000053682866,0.000086765336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987047,0.0000046233863,0.00021672134,0.00029853222,0.0005825844,0.00019284079],"domain_scores_gemma":[0.99887764,0.00011018873,0.0000644272,0.00013076488,0.00080351747,0.000013440179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006865315,0.00008214272,0.00008751522,0.0003210673,0.0005608588,0.00037223657,0.00031555537,0.000048360052,0.00004125931],"category_scores_gemma":[0.00023313625,0.00007039723,0.000007116472,0.00051399047,0.0006554515,0.00190595,0.00045864258,0.0001257675,0.000015355914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023329454,0.00007586909,0.65474653,0.000047530517,0.0000037787988,0.0000030712815,0.00009721375,0.006268052,0.0070876046,0.3305231,0.00051351805,0.0006104093],"study_design_scores_gemma":[0.0001995717,0.0000071348645,0.9318285,0.00020309078,0.0000026076264,0.0000016260996,0.0002458356,0.055540953,0.00054785,0.010606462,0.00071495346,0.00010142659],"about_ca_topic_score_codex":0.0052073146,"about_ca_topic_score_gemma":0.001987164,"teacher_disagreement_score":0.31991664,"about_ca_system_score_codex":0.000031437718,"about_ca_system_score_gemma":0.00013356416,"threshold_uncertainty_score":0.78719366},"labels":[],"label_agreement":null},{"id":"W3037108812","doi":"10.1093/forsci/fxaa008","title":"Population and Stand-Level Inference in Forest Inventory with Penalized Splines","year":2020,"lang":"en","type":"article","venue":"Forest Science","topic":"Remote Sensing and LiDAR Applications","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":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Overfitting; Estimator; Statistics; Econometrics; Population; Variance (accounting); Mathematics; Parametric statistics; Inference; Population variance; Parametric model; Range (aeronautics); Additive model; Nonparametric statistics; Computer science; Artificial intelligence; Economics","score_opus":0.03176679952313382,"score_gpt":0.26223438696775264,"score_spread":0.23046758744461882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037108812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990056,0.000011585182,0.0076972013,0.0007631025,0.0000151822915,0.00016473357,0.0000020986843,0.000026163427,0.0012639695],"genre_scores_gemma":[0.9959365,0.0000065794075,0.003794128,0.00016962891,0.000014871024,0.0000028524782,0.0000031160182,0.000005263856,0.00006704399],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990096,0.000013555508,0.0001280255,0.00033392533,0.00031694834,0.00019791818],"domain_scores_gemma":[0.9996092,0.000030700343,0.000054068416,0.00014703497,0.000010844995,0.00014819477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019777358,0.000084037,0.00008937475,0.000039479106,0.00016095479,0.00006245489,0.00019487174,0.000021780132,0.000027694143],"category_scores_gemma":[0.00013730356,0.00006582723,0.000009032007,0.0007214201,0.00053684134,0.00033325353,0.00011920431,0.000075908574,0.000039641924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018406925,0.00001493097,0.96515805,0.000005454366,5.241208e-7,0.0000024100693,0.00062042515,0.028317843,0.0016367406,0.0027408614,0.000053239994,0.0014311163],"study_design_scores_gemma":[0.00022781032,0.000051749186,0.8803831,0.000019713094,0.0000023568718,0.000003017465,0.000059927766,0.11594331,0.0000714056,0.0026462837,0.0004835952,0.000107761574],"about_ca_topic_score_codex":0.001170791,"about_ca_topic_score_gemma":0.0032940798,"teacher_disagreement_score":0.087625474,"about_ca_system_score_codex":0.000060824605,"about_ca_system_score_gemma":0.000034799294,"threshold_uncertainty_score":0.2684357},"labels":[],"label_agreement":null},{"id":"W3042447464","doi":"10.1093/forestscience/50.4.512","title":"Area-Independent Sampling for Total Basal Area","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Orthopedic Surgery and Rehabilitation","field":"Medicine","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":"Vancouver Island University","funders":"","keywords":"Basal area; Sampling (signal processing); Basal (medicine); Geography; Forestry; Statistics; Mathematics; Medicine; Internal medicine; Computer science","score_opus":0.03865185246889398,"score_gpt":0.30906460599945434,"score_spread":0.2704127535305604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042447464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9499592,0.000027272972,0.047298428,0.00091343164,0.00058702205,0.00034506788,0.0000050066024,0.00004228838,0.0008222725],"genre_scores_gemma":[0.9934504,0.0000021456085,0.00583983,0.00018615674,0.00012913918,0.000029587036,0.000008195589,0.0000066484768,0.00034788388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887717,0.000003877424,0.00015899821,0.000279082,0.00039856628,0.00028232211],"domain_scores_gemma":[0.9993505,0.00012842829,0.000041586452,0.0001833045,0.00013412183,0.00016208945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006614593,0.00007780114,0.00011744339,0.00012607116,0.0002206982,0.00002726041,0.00007611548,0.00003968504,0.00003108804],"category_scores_gemma":[0.00076784636,0.000058828882,0.00007643184,0.00032970862,0.00031402885,0.00020805951,0.000028663462,0.00007369918,0.000016405791],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011430401,0.0018783262,0.53615993,0.00046062696,0.00006333053,0.00010959339,0.0057552205,0.12586674,0.17596939,0.1054495,0.00058653066,0.046557743],"study_design_scores_gemma":[0.004434713,0.0021640502,0.9161389,0.0006471232,0.00008631428,0.00029660208,0.0012744238,0.010068292,0.013589042,0.047814984,0.0029239007,0.00056169135],"about_ca_topic_score_codex":0.00002039764,"about_ca_topic_score_gemma":0.00001804309,"teacher_disagreement_score":0.3799789,"about_ca_system_score_codex":0.00010838153,"about_ca_system_score_gemma":0.0004112371,"threshold_uncertainty_score":0.23989722},"labels":[],"label_agreement":null},{"id":"W3086382047","doi":"10.1093/forsci/fxaa016","title":"Correspondence between Breeding Values of the Same Pinus taeda L. Genotypes from Clonal Trials and Half-Sib Seedling Progeny Trials","year":2020,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"J. D. Irving (Canada)","funders":"","keywords":"Biology; Heritability; Propagule; Loblolly pine; Tree breeding; Seedling; Pinus <genus>; Seed orchard; Progeny testing; Genotype; Restricted maximum likelihood; Genetic correlation; Clonal selection; Covariance; Genetic gain; Best linear unbiased prediction; Genetic variation; Botany; Woody plant; Selection (genetic algorithm); Statistics; Genetics; Maximum likelihood; Mathematics","score_opus":0.06705301052872632,"score_gpt":0.29317631289002716,"score_spread":0.22612330236130085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086382047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99274987,0.00012911571,0.0038237413,0.0014833604,0.0004219785,0.00076250493,0.000037670474,0.000033490676,0.00055824005],"genre_scores_gemma":[0.9972691,0.000016038746,0.0019409164,0.00043716084,0.00017159613,0.000020011421,0.0000026619732,0.000008058496,0.00013446865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99732,0.00033306584,0.0006723162,0.00057254144,0.000725643,0.00037644236],"domain_scores_gemma":[0.9979851,0.0010389149,0.00049661915,0.00027717187,0.00002101892,0.00018114108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006190826,0.00016969019,0.00054398377,0.00004726164,0.00047224088,0.0000838604,0.0010492872,0.00007351372,0.0004991278],"category_scores_gemma":[0.005166604,0.000111940906,0.00011634635,0.0006738816,0.0019213726,0.00042477075,0.0010579175,0.000156591,0.00010360989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002590019,0.0000614091,0.90242267,0.000030262132,0.000076084674,0.000009688199,0.0038070178,0.012716533,0.052073848,0.022623153,0.0022051746,0.0037151733],"study_design_scores_gemma":[0.00074717274,0.00031490118,0.9217953,0.000057072433,0.00015509348,0.0000026821037,0.00022965738,0.007670764,0.009982976,0.057057068,0.001706489,0.00028081427],"about_ca_topic_score_codex":0.0006010206,"about_ca_topic_score_gemma":0.0001845163,"teacher_disagreement_score":0.04209087,"about_ca_system_score_codex":0.000070810675,"about_ca_system_score_gemma":0.0000810422,"threshold_uncertainty_score":0.7079378},"labels":[],"label_agreement":null},{"id":"W3092112187","doi":"10.1093/forestscience/54.6.625","title":"Base–Age Invariant Site Index Models from a Generalized Algebraic Parameter Prediction Approach","year":2008,"lang":"en","type":"article","venue":"Forest Science","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"Canadian Forest Service; Chinese Academy of Forestry; University of Greenwich; University of Northern British Columbia; U.S. Forest Service; Chinese Academy of Sciences","keywords":"Mathematics; Site index; Invariant (physics); Statistics; Applied mathematics; Index (typography); Algebraic number; Forestry; Mathematical analysis; Computer science; Geography; Mathematical physics","score_opus":0.022749728290134597,"score_gpt":0.19116815363363476,"score_spread":0.16841842534350016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092112187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48113772,0.000030895942,0.5177676,0.0000042824195,0.000104871215,0.00008602915,0.000012494571,0.00015049313,0.00070557266],"genre_scores_gemma":[0.97169465,0.000038494985,0.027983652,0.00004785749,0.00006231588,0.000033181703,0.00005392719,0.000015719024,0.000070210466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989757,0.000009175064,0.00015880742,0.00028762664,0.00031680465,0.00025187188],"domain_scores_gemma":[0.9995814,0.00001706183,0.000027858414,0.00024149305,0.0000321797,0.00010001453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013006206,0.00012148343,0.000112682304,0.00012702103,0.00019609119,0.000080287755,0.00023193427,0.000058464695,0.00002835975],"category_scores_gemma":[0.000024585643,0.000108292326,0.00002806529,0.00034211218,0.00014378461,0.0006920797,0.000046081495,0.00010159888,0.000012168508],"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":[0.0000040760983,0.000013235152,0.0011173246,0.000009365717,0.0000034639252,0.0000043915006,0.0005304256,0.996908,0.00030921123,0.0009277609,0.00009348936,0.00007923728],"study_design_scores_gemma":[0.00021917286,0.000010310575,0.009944221,0.000009065671,0.000004746066,0.0000064564556,0.00000451039,0.9842121,0.0009047956,0.0045112446,0.000048296864,0.00012505472],"about_ca_topic_score_codex":0.00017575019,"about_ca_topic_score_gemma":0.000019067465,"teacher_disagreement_score":0.49055693,"about_ca_system_score_codex":0.000048844835,"about_ca_system_score_gemma":0.00003871956,"threshold_uncertainty_score":0.44160327},"labels":[],"label_agreement":null},{"id":"W3093753887","doi":"10.1093/forsci/fxaa034","title":"Improved Equations for the Density Management Diagram Isolines of Ponderosa Pine Stands","year":2020,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Canopy; Variance (accounting); Biomass (ecology); Estimation; Pinus <genus>; Volume (thermodynamics); Diagram; Statistics; Covariance; Tree canopy; Forestry; Mathematics; Ecology; Hydrology (agriculture); Geography; Geology; Biology; Engineering; Botany","score_opus":0.01671822986967973,"score_gpt":0.24246655622446306,"score_spread":0.22574832635478334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093753887","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04440211,0.000014287163,0.9487777,0.0048528234,0.00019494323,0.0008451493,0.0000091997745,0.00003177619,0.0008720476],"genre_scores_gemma":[0.99616456,0.00001376017,0.0026273835,0.00079197093,0.000023252449,0.000072586336,0.0000027007716,0.0000042915995,0.00029950024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904203,0.000009061483,0.00016162258,0.00027993752,0.00024449226,0.0002628592],"domain_scores_gemma":[0.9994841,0.00008763077,0.000082764775,0.00024671227,0.000019139015,0.000079620695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045998223,0.000082219005,0.00008678884,0.000024339093,0.000410119,0.000025108884,0.0005867916,0.0000199177,0.00013348418],"category_scores_gemma":[0.00018137769,0.000056516354,0.000044720313,0.00041838974,0.0009105199,0.00018833028,0.00047031426,0.00004570939,0.000034335506],"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":[0.00012114292,0.00019826833,0.029472578,0.00006560288,0.000042770356,0.0000038177013,0.001250728,0.050990045,0.0040596058,0.90047544,0.006684335,0.0066356915],"study_design_scores_gemma":[0.00067147205,0.0004139598,0.18228388,0.0000065920754,0.0000645903,7.037873e-7,0.00029040885,0.7721896,0.0011483255,0.039043818,0.0036947478,0.00019190082],"about_ca_topic_score_codex":0.000051042873,"about_ca_topic_score_gemma":0.0003876431,"teacher_disagreement_score":0.95176244,"about_ca_system_score_codex":0.000046213576,"about_ca_system_score_gemma":0.000014291801,"threshold_uncertainty_score":0.33548486},"labels":[],"label_agreement":null},{"id":"W3112421360","doi":"10.1093/forsci/fxaa043","title":"A Strategic Forest Management Model for Optimizing Timber Yield and Carbon Sequestration","year":2020,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":12,"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; Université TÉLUQ","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Carbon sequestration; Greenhouse gas; Environmental science; Time horizon; Carbon accounting; Carbon offset; Forest management; Stock (firearms); Carbon fibers; Carbon sink; Forest inventory; Agroforestry; Ecosystem; Natural resource economics; Business; Ecology; Carbon dioxide; Computer science; Economics; Geography","score_opus":0.049760681742580096,"score_gpt":0.2559478349414393,"score_spread":0.20618715319885922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112421360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92322844,0.00001007184,0.0146252625,0.0011171802,0.000062367064,0.0006664522,0.0000042962834,0.00007764526,0.060208295],"genre_scores_gemma":[0.9873407,0.000013775349,0.010629781,0.0005760822,0.000045653207,0.000052435393,0.0000042565985,0.0000116986685,0.001325628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863356,0.0000050734143,0.00016061723,0.00046868547,0.0003344542,0.0003975835],"domain_scores_gemma":[0.9995382,0.00001804662,0.000060644867,0.00018029305,0.000008696127,0.00019414138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002573427,0.00014372902,0.0000984545,0.000051014238,0.00023842507,0.00015769737,0.00035767563,0.000033254688,0.0000669628],"category_scores_gemma":[0.000022616838,0.00013187132,0.000030020508,0.00041375097,0.00042015547,0.00046428922,0.00029006225,0.00006375435,0.00006558434],"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":[0.000018207942,0.000014346357,0.006176369,0.000029398427,0.0000034004067,0.0000033563629,0.00043304203,0.9465567,0.0005631265,0.045294125,0.0007419679,0.0001659716],"study_design_scores_gemma":[0.00018753973,0.00009980251,0.001625726,0.000011331126,0.000017530127,0.0000010412958,0.000044912056,0.9879075,0.000027029753,0.009695834,0.0002171538,0.00016454536],"about_ca_topic_score_codex":0.00013681308,"about_ca_topic_score_gemma":0.00020273933,"teacher_disagreement_score":0.06411226,"about_ca_system_score_codex":0.000061595536,"about_ca_system_score_gemma":0.000018377543,"threshold_uncertainty_score":0.5377556},"labels":[],"label_agreement":null},{"id":"W3131599214","doi":"10.1093/forestscience/57.4.265","title":"A Parsimonious Dynamic Stand Model for Interior Spruce in British Columbia","year":2011,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":true,"ca_institutions":"University of Northern British Columbia","funders":"University of Northern British Columbia","keywords":"Forestry; Geography; Environmental science; Ecology; Biology","score_opus":0.011300806602331044,"score_gpt":0.21462703231656952,"score_spread":0.20332622571423847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131599214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9451129,0.000011814075,0.05162998,0.000026881427,0.00016690874,0.0005033514,0.000010744541,0.000030401376,0.0025070116],"genre_scores_gemma":[0.9904048,0.000011126067,0.0069032116,0.00012784416,0.0000029327089,0.000114776914,0.0000011979704,0.000008114768,0.0024260073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987139,0.0000091045995,0.0001753172,0.00043606976,0.00018761435,0.00047795483],"domain_scores_gemma":[0.99960417,0.00001419123,0.000053785046,0.00022340573,0.000009141624,0.00009530761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053302594,0.00006982613,0.000106983374,0.00003734401,0.0002440471,0.000099192504,0.00059589057,0.000041390813,0.00040295444],"category_scores_gemma":[0.00006809994,0.000102374004,0.00003109069,0.00033652855,0.0010207884,0.00044240258,0.00035356497,0.00006869536,0.00008135937],"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":[0.000095857446,0.0005721912,0.90879136,0.000055621305,0.0000110159735,0.00013855036,0.003941173,0.053535014,0.0008468544,0.014883984,0.009345739,0.007782637],"study_design_scores_gemma":[0.00032129648,0.000121599885,0.45737013,0.000019176501,0.0000041728204,0.000006573471,0.000074931486,0.45703682,0.000009756469,0.08470922,0.0001812745,0.0001450489],"about_ca_topic_score_codex":0.008039704,"about_ca_topic_score_gemma":0.60325515,"teacher_disagreement_score":0.5952155,"about_ca_system_score_codex":0.00024590353,"about_ca_system_score_gemma":0.000043118147,"threshold_uncertainty_score":0.99856585},"labels":[],"label_agreement":null},{"id":"W3161498493","doi":"10.1093/forsci/fxab012","title":"Predicting the Location of Maple Habitat Under Warming Scenarios in Two Regions at the Northern Range in Canada","year":2021,"lang":"en","type":"article","venue":"Forest Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; McGill University; Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Ministère des Forêts, de la Faune et des Parcs","keywords":"Maple; Aceraceae; Global warming; Habitat; Ecology; Range (aeronautics); Context (archaeology); Environmental science; Climate change; Physical geography; Geography; Biology","score_opus":0.02113084814262015,"score_gpt":0.2409286067069955,"score_spread":0.21979775856437536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161498493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953533,0.00007367878,0.000063950545,0.0027757862,0.00009866563,0.00011975944,0.000007004689,0.0000036638312,0.0015042261],"genre_scores_gemma":[0.9995545,0.000010033076,0.000006092406,0.0002668876,0.000006007041,0.000013778188,0.0000052075543,0.000002799988,0.00013466891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989518,0.000037600264,0.00015199436,0.00019305143,0.00041922354,0.00024634696],"domain_scores_gemma":[0.9995302,0.00009125657,0.00006225503,0.00025029652,0.00002795864,0.000038043254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042571704,0.000056271227,0.000058652266,0.000015962629,0.00026551992,0.000020257441,0.0003342202,0.000009395134,0.00063677476],"category_scores_gemma":[0.00017663572,0.00003610824,0.000013226264,0.0013629438,0.00049985613,0.00012836826,0.0002578844,0.00008107385,0.000035009652],"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":[0.0000021201324,0.000012727533,0.9632489,0.0000021921605,3.6939244e-7,0.0000034318862,0.00072525494,0.03420419,0.000943234,0.00062014256,0.00016573822,0.000071703646],"study_design_scores_gemma":[0.00015400829,0.000003896584,0.97972107,0.000023144143,0.0000016516152,0.000007709605,0.011166188,0.0077885096,0.0005877763,0.00019909917,0.0002957363,0.00005123801],"about_ca_topic_score_codex":0.6896198,"about_ca_topic_score_gemma":0.9994652,"teacher_disagreement_score":0.30984542,"about_ca_system_score_codex":0.0021210304,"about_ca_system_score_gemma":0.00033638463,"threshold_uncertainty_score":0.69722366},"labels":[],"label_agreement":null},{"id":"W3165102437","doi":"10.1093/forestscience/53.5.611","title":"Scaling Taper Relationships from Miniature-Scale to Operational-Scale Stands of Loblolly Pine","year":2007,"lang":"en","type":"article","venue":"Forest Science","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Forest Research Institute","funders":"Virginia Polytechnic Institute and State University","keywords":"Loblolly pine; Scale (ratio); Environmental science; Scaling; Forestry; Pinus <genus>; Biology; Mathematics; Geography; Botany; Cartography","score_opus":0.01544965703567002,"score_gpt":0.24052104210179612,"score_spread":0.2250713850661261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165102437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94006467,0.0001835429,0.056819938,0.00017437438,0.00027656404,0.00010925184,0.00003178642,0.00006631006,0.002273567],"genre_scores_gemma":[0.9867666,0.0000023871128,0.013037067,0.000018478717,0.00007869464,0.000004639253,0.0000049542405,0.000007896697,0.00007933089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891543,0.000006673687,0.0002490591,0.00020477337,0.00037191654,0.00025214328],"domain_scores_gemma":[0.9993655,0.00015972252,0.000018990233,0.00021697671,0.00012427116,0.00011450347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063521386,0.000095274474,0.00013244769,0.000117968535,0.00022244906,0.000031728363,0.00021822874,0.00004285879,0.000019984716],"category_scores_gemma":[0.00020791922,0.00008543202,0.00003239291,0.0007019692,0.00018685468,0.00022149833,0.000057827237,0.00011161427,0.000017424543],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022737006,0.000044132747,0.81950796,0.000018573628,0.000011251216,0.0000014252491,0.00521305,0.14474186,0.026252877,0.0028062055,0.00062877184,0.00075115083],"study_design_scores_gemma":[0.00013210265,0.00002387105,0.9830317,0.00002996581,0.0000059375425,5.4758283e-7,0.0003251239,0.006977623,0.007155554,0.0009734021,0.0012180442,0.00012611295],"about_ca_topic_score_codex":0.000046625995,"about_ca_topic_score_gemma":0.011389989,"teacher_disagreement_score":0.16352375,"about_ca_system_score_codex":0.000071983326,"about_ca_system_score_gemma":0.000034646746,"threshold_uncertainty_score":0.6355881},"labels":[],"label_agreement":null},{"id":"W3184487972","doi":"10.1093/forsci/fxab023","title":"Detection and Quantification of Coarse Woody Debris in Natural Forest Stands Using Airborne LiDAR","year":2021,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","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":"Ministry of Forests; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coarse woody debris; Large woody debris; Environmental science; Lidar; Volume (thermodynamics); Snag; Biomass (ecology); Elevation (ballistics); Biodiversity; Forestry; Remote sensing; Habitat; Ecology; Geography; Mathematics; Biology","score_opus":0.02709750834273933,"score_gpt":0.23321209018864164,"score_spread":0.2061145818459023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184487972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99924624,0.00020796037,0.00003417352,0.00021764217,0.00015886393,0.00007645879,0.00001092523,0.000011557911,0.000036192556],"genre_scores_gemma":[0.99973583,0.000039129,0.00014688853,0.00002838422,0.00001921591,0.0000014403643,0.000005594429,2.4907519e-7,0.000023283093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992138,0.000027151518,0.00013370007,0.00026303765,0.00016412202,0.0001981905],"domain_scores_gemma":[0.9996334,0.000072268915,0.000071667855,0.000044014556,0.00013993484,0.000038713024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003000651,0.00006962059,0.00011274813,0.00003243164,0.0003568003,0.000029873736,0.00013620604,0.000049348128,0.000011890151],"category_scores_gemma":[0.00018177289,0.00003261415,0.000025161431,0.000858322,0.0005774098,0.00025197986,0.00013037179,0.000076403376,0.0000026957155],"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":[0.00003284049,0.000059725888,0.7453442,0.000007718672,0.000003652308,0.000008422991,0.00013588225,0.00019984908,0.2490405,0.0011523629,0.0000059697245,0.004008869],"study_design_scores_gemma":[0.000101751335,0.00009860793,0.9776099,0.000016657663,0.0000059618396,0.000010594107,0.00058046245,0.004932201,0.015742777,0.0007449324,0.00007685834,0.00007931396],"about_ca_topic_score_codex":0.00044842667,"about_ca_topic_score_gemma":0.025219701,"teacher_disagreement_score":0.23329772,"about_ca_system_score_codex":0.000035941,"about_ca_system_score_gemma":0.000024513329,"threshold_uncertainty_score":0.9925675},"labels":[],"label_agreement":null},{"id":"W3190866327","doi":"10.1093/forestscience/53.4.529","title":"Modeling Tree Recruitment with Zero-Inflated Models: The Example of Hardwood Stands in Southern Québec, Canada","year":2007,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":73,"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":"Hardwood; Tree (set theory); Forestry; Environmental science; Ecology; Geography; Mathematics; Biology","score_opus":0.03165092208916022,"score_gpt":0.222713668913587,"score_spread":0.19106274682442675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190866327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9265851,0.000024023302,0.06742192,0.00025034585,0.00005959323,0.00043080735,0.000003019459,0.000012985484,0.0052122134],"genre_scores_gemma":[0.9988964,0.0000033981207,0.00052472594,0.00016030046,0.0000042500187,0.000024759507,0.0000011173496,0.000006799675,0.00037824624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984069,0.000017319644,0.00023971107,0.0003220159,0.0005613687,0.00045268246],"domain_scores_gemma":[0.9994338,0.00004219873,0.0000718646,0.00035038375,0.000016107497,0.000085636355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012775442,0.00011212101,0.00011250566,0.000055134016,0.00022450028,0.00001472839,0.0005879168,0.00002661835,0.00008780443],"category_scores_gemma":[0.00002234886,0.00007073418,0.000015979882,0.00062083453,0.00059288286,0.00022333326,0.00021182236,0.00010368373,0.000011490484],"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":[0.000041600462,0.000033649518,0.019830018,0.0000022999882,0.000003839085,0.000010999823,0.0012978292,0.9665996,0.00008236411,0.011456264,0.000119578544,0.00052196987],"study_design_scores_gemma":[0.00064983417,0.00019189979,0.033990316,0.000030501109,0.000014683854,0.000004867331,0.0015302155,0.94492245,0.00037366748,0.01700093,0.0010394081,0.0002512171],"about_ca_topic_score_codex":0.93578875,"about_ca_topic_score_gemma":0.9978759,"teacher_disagreement_score":0.07231131,"about_ca_system_score_codex":0.00056421204,"about_ca_system_score_gemma":0.0002997348,"threshold_uncertainty_score":0.28844562},"labels":[],"label_agreement":null},{"id":"W3201053833","doi":"10.1093/forsci/fxab025","title":"Inter-Temporal Aggregation for Spatially Explicit Optimal Harvest Scheduling under Area Restrictions","year":2021,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":"Government of British Columbia","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Time horizon; Scheduling (production processes); Computer science; Set (abstract data type); Mathematical optimization; Duration (music); Temporal database; Mathematics; Data mining","score_opus":0.028378827641733665,"score_gpt":0.26943553477454524,"score_spread":0.24105670713281158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201053833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82704026,0.000011806407,0.16481498,0.0010580042,0.0003811811,0.00028220017,0.000006901091,0.000068936955,0.006335759],"genre_scores_gemma":[0.9737202,0.0000074476015,0.02056735,0.00030233973,0.000103824,0.000052863037,0.000028528908,0.000012753308,0.0052046976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984322,0.000017814033,0.00022149934,0.00049006374,0.00039546913,0.00044295934],"domain_scores_gemma":[0.9992955,0.00005353633,0.000098724966,0.00035896662,0.000041448468,0.00015186149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003646022,0.00013786882,0.00010519758,0.00010774479,0.00056844583,0.00026256815,0.00045431405,0.000043179632,0.00078534026],"category_scores_gemma":[0.00022407215,0.00013440577,0.00006982072,0.0010628395,0.00042416138,0.0010414397,0.00036121788,0.00009137658,0.00048314722],"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":[0.000029270004,0.00017127367,0.12748052,0.0000167478,0.000011398955,0.000014023296,0.0005016123,0.7630322,0.005534481,0.09365279,0.006370226,0.003185441],"study_design_scores_gemma":[0.0010952229,0.00033752486,0.11608472,0.000112694455,0.000048733018,0.000028615543,0.000318502,0.81743747,0.003945644,0.017057113,0.042715006,0.00081872754],"about_ca_topic_score_codex":0.000738121,"about_ca_topic_score_gemma":0.0020416302,"teacher_disagreement_score":0.14667997,"about_ca_system_score_codex":0.00018815737,"about_ca_system_score_gemma":0.00010091937,"threshold_uncertainty_score":0.85989255},"labels":[],"label_agreement":null},{"id":"W3203922403","doi":"10.1093/forestscience/53.6.675","title":"Density Frontiers for Even-Aged Douglas-fir and Western Hemlock Stands in Coastal British Columbia","year":2007,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":true,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Western Hemlock; Douglas fir; Forestry; Geography","score_opus":0.006437501589741553,"score_gpt":0.2232912190010595,"score_spread":0.21685371741131795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203922403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935359,0.000017496064,0.0034362606,0.0000640721,0.00031510272,0.00041324657,0.000013409887,0.000030043377,0.0021744957],"genre_scores_gemma":[0.9919334,0.000010818644,0.0018047318,0.00018881119,0.000049061862,0.000011710004,0.0000047823346,0.000009836657,0.0059868647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832183,0.000011945518,0.00020326658,0.00043806,0.00039989967,0.00062498276],"domain_scores_gemma":[0.9995015,0.000039639446,0.00006344301,0.00019846989,0.00001097988,0.00018592709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012330808,0.000097966906,0.00014001761,0.000064839434,0.00039453802,0.000346128,0.00038992046,0.00004670757,0.00012047753],"category_scores_gemma":[0.000087333225,0.00013618667,0.000030582767,0.00060381484,0.0010807792,0.00058988185,0.0003534845,0.00009164348,0.00003839242],"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":[0.000020043088,0.000033527445,0.9827282,0.0000070478204,0.0000013207765,0.000015032103,0.00019220891,0.00025236624,0.000102571226,0.000059300124,0.014464887,0.0021235242],"study_design_scores_gemma":[0.00062365783,0.00010475058,0.98711777,0.000017803406,0.0000044682306,0.000011149603,0.00004942309,0.0023506198,0.000026503625,0.0017289597,0.007780333,0.00018454125],"about_ca_topic_score_codex":0.03166147,"about_ca_topic_score_gemma":0.65766394,"teacher_disagreement_score":0.6260025,"about_ca_system_score_codex":0.0001378061,"about_ca_system_score_gemma":0.00002352351,"threshold_uncertainty_score":0.97478676},"labels":[],"label_agreement":null},{"id":"W3211712385","doi":"","title":"Comparative Views of Different Stumpage Pricing Systems: Canada and the United States.","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":9,"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":"Stumpage; Economics; Agricultural economics","score_opus":0.024847275557775158,"score_gpt":0.2806173597931133,"score_spread":0.25577008423533815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211712385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995065,0.00020095732,0.00009668337,0.0011643008,0.00012302924,0.00024095489,0.000046379017,0.000004861468,0.0030578612],"genre_scores_gemma":[0.9986304,0.000029709776,0.0000045538773,0.00025699366,0.00004333523,0.0000067267742,0.0000014823247,0.0000015049975,0.0010252724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988992,0.000093133414,0.0001543598,0.00012504093,0.000468111,0.00026012992],"domain_scores_gemma":[0.9993561,0.00022221426,0.00013895406,0.00011661529,0.00007885629,0.000087258035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005846072,0.000059545135,0.00014784394,0.000048454185,0.00056844205,0.00007496561,0.0003009815,0.000011838409,0.0000035414541],"category_scores_gemma":[0.0000935905,0.0000374478,0.0000125415345,0.00067073636,0.002105619,0.000101593316,0.000033462475,0.00005276967,5.112995e-7],"study_design_candidate":"theoretical_or_conceptual","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":[0.000009110639,0.000010634294,0.008054666,0.000012598645,0.0000030237234,0.0000020884809,0.012277765,0.006532406,0.000025242489,0.9604933,0.012558425,0.000020713223],"study_design_scores_gemma":[0.001647584,0.00007433339,0.5802995,0.00028498864,0.000034784145,0.0000050700964,0.017518042,0.051257372,0.000327015,0.02306443,0.32493398,0.00055290107],"about_ca_topic_score_codex":0.99827045,"about_ca_topic_score_gemma":0.99869955,"teacher_disagreement_score":0.9374289,"about_ca_system_score_codex":0.00020950638,"about_ca_system_score_gemma":0.0007295547,"threshold_uncertainty_score":0.7758241},"labels":[],"label_agreement":null},{"id":"W3214618753","doi":"10.1093/forestscience/53.5.571","title":"Rooting of Leafy Stem Cuttings of <i>Baillonella toxisperma</i>","year":2007,"lang":"en","type":"article","venue":"Forest Science","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"International Fund for Agricultural Development; Natural Sciences and Engineering Research Council of Canada; World Agroforestry Centre","keywords":"Leafy; Cutting; Leafy vegetables; Biology; Botany; Horticulture","score_opus":0.016864248213506416,"score_gpt":0.2883208613488439,"score_spread":0.2714566131353375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214618753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993204,0.00006611749,0.0011097979,0.000039698123,0.00016425601,0.0001090773,0.000005023567,0.000023083581,0.0052789324],"genre_scores_gemma":[0.9980844,0.0000040970444,0.0016175424,0.000028663933,0.000039120903,0.0000012985612,2.8773073e-7,0.000007531529,0.00021704337],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977268,0.000017585458,0.0003925217,0.00030797275,0.000978005,0.00057709526],"domain_scores_gemma":[0.9989144,0.00014286913,0.00020563028,0.00032583877,0.00025887368,0.00015235043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040527703,0.000090105204,0.00018724117,0.00018430833,0.00015329842,0.000051688476,0.00082232314,0.000034855766,0.00007715122],"category_scores_gemma":[0.00018446232,0.00007319306,0.00004984921,0.0009563424,0.0010946812,0.00035711617,0.00025996502,0.00007696179,0.00006028822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011475046,0.00004090765,0.04735191,0.000035207006,7.0011686e-7,0.000003922388,0.00025085028,0.00030882083,0.9306462,0.020281142,0.00003179218,0.0010370737],"study_design_scores_gemma":[0.00013880615,0.0000990433,0.020196913,0.00007756102,0.0000022021582,0.0000063028583,0.00025686962,0.0006671363,0.9775268,0.00063087424,0.00030231557,0.00009516779],"about_ca_topic_score_codex":0.00027115506,"about_ca_topic_score_gemma":0.000064732085,"teacher_disagreement_score":0.04688061,"about_ca_system_score_codex":0.000033753793,"about_ca_system_score_gemma":0.00018740968,"threshold_uncertainty_score":0.40333986},"labels":[],"label_agreement":null},{"id":"W3215146792","doi":"10.1093/forestscience/54.2.129","title":"Parameter Estimation of Base-Age Invariant Site Index Models: Which Data Structure to Use?—Reply","year":2008,"lang":"en","type":"article","venue":"Forest Science","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","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":"Canadian Forest Service","funders":"","keywords":"Statistics; Site index; Mathematics; Invariant (physics); Econometrics; Index (typography); Estimation; Age structure; Base (topology); Geography; Computer science; Forestry; Demography; Economics; Mathematical analysis; Sociology; Population","score_opus":0.08009438476597887,"score_gpt":0.3155314466694495,"score_spread":0.23543706190347063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215146792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9355363,0.000012000466,0.0614633,0.0003847817,0.00036144073,0.0006244676,0.0001505745,0.00006899802,0.0013981271],"genre_scores_gemma":[0.9777806,0.000023377925,0.021492498,0.0005030579,0.000049756512,0.000011142163,0.000035720506,0.000010607253,0.000093248724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.996612,0.00011996217,0.00036493898,0.00073675974,0.0016174031,0.0005489209],"domain_scores_gemma":[0.99780416,0.00013377814,0.00018740467,0.0013246185,0.0003244779,0.00022556786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017639204,0.00015948268,0.0002139098,0.00037721577,0.0008892988,0.00023007946,0.001867753,0.00006644728,0.000036522153],"category_scores_gemma":[0.0014000416,0.00014733084,0.000039636383,0.0029956829,0.0013149814,0.0028990167,0.0005726344,0.00014419081,0.000019916668],"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":[0.000036162914,0.0001326237,0.38585964,0.000032997104,0.000021762151,0.000039770486,0.014487258,0.45466793,0.00022039426,0.14054954,0.0025793675,0.0013725712],"study_design_scores_gemma":[0.00018360741,0.00005294123,0.56785065,0.00004076873,0.000019431729,0.0000029578719,0.00027216005,0.40410286,0.00005033184,0.02596582,0.0011602718,0.0002982109],"about_ca_topic_score_codex":0.013586217,"about_ca_topic_score_gemma":0.025628686,"teacher_disagreement_score":0.18199101,"about_ca_system_score_codex":0.00008477711,"about_ca_system_score_gemma":0.0004012059,"threshold_uncertainty_score":0.9929824},"labels":[],"label_agreement":null},{"id":"W328001336","doi":"10.1093/forestscience/46.1.86","title":"Influence of Vertical Foliage Structure on the Distribution of Stem Cross-Sectional Area Increment in Western Hemlock and Balsam Fir","year":2000,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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 New Brunswick","funders":"University of Washington","keywords":"Balsam; Abies balsamea; Western Hemlock; Environmental science; Forestry; Biology; Geography; Botany","score_opus":0.008127139710742548,"score_gpt":0.22976957365373757,"score_spread":0.22164243394299502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W328001336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99931777,0.0000039249153,0.00007630821,0.00009281647,0.0000276691,0.00019261138,0.00001750521,0.00000480341,0.00026660788],"genre_scores_gemma":[0.9998004,0.000005272689,0.000013017291,0.00009390155,0.0000035407961,0.000009022676,0.0000024250512,0.00000186643,0.000070598784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892765,0.000025329671,0.00020737857,0.00024608301,0.0003789012,0.00021465549],"domain_scores_gemma":[0.9996401,0.000065787746,0.000042597003,0.00019388742,0.0000106333,0.00004697806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045435055,0.00007714707,0.00008509811,0.000025110623,0.0001394721,0.000018073457,0.0003214452,0.000039717892,0.00033923908],"category_scores_gemma":[0.00004449177,0.000053156666,0.000015957436,0.00032174864,0.0015421843,0.00021722224,0.00016788693,0.000088374276,0.00002017245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032807555,0.000038732484,0.82694113,0.000004413443,0.0000012830708,0.0000011237128,0.000041218453,0.15751979,0.00086034025,0.014467652,0.000021427253,0.000070100716],"study_design_scores_gemma":[0.00015631958,0.00012454076,0.988994,0.000014137762,0.0000018775969,0.0000024703404,0.000009091568,0.0031070595,0.0013160225,0.0061366386,0.00008468565,0.000053167056],"about_ca_topic_score_codex":0.00019428201,"about_ca_topic_score_gemma":0.0005708839,"teacher_disagreement_score":0.16205287,"about_ca_system_score_codex":0.00010827317,"about_ca_system_score_gemma":0.000015943457,"threshold_uncertainty_score":0.5682242},"labels":[],"label_agreement":null},{"id":"W328800379","doi":"10.1093/forestscience/53.3.453","title":"Interactive Effects of Soil Temperature and [CO2] on Morphological and Biomass Traits in Seedlings of Four Boreal Tree Species","year":2007,"lang":"en","type":"article","venue":"Forest Science","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Lakehead University; Ontario Innovation Trust","keywords":"Black spruce; Taiga; Biomass (ecology); Botany; Betula platyphylla; Biology; Horticulture; White (mutation); Agronomy; Ecology","score_opus":0.010331823803157532,"score_gpt":0.21529696029902276,"score_spread":0.20496513649586523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W328800379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990445,0.00005019306,0.0000014053445,0.00018379332,0.000036354257,0.00013658156,0.000018938963,0.000010546738,0.0005177049],"genre_scores_gemma":[0.99982446,0.000022076392,0.000048671925,0.000037049136,0.00002156653,0.0000019547147,0.000003180256,4.2606018e-7,0.00004061548],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99898416,0.000035476005,0.00017215074,0.0002861688,0.00026009968,0.00026194003],"domain_scores_gemma":[0.99888486,0.0008521347,0.000090682166,0.00003353583,0.000051525312,0.00008729299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044089212,0.00010822546,0.00018071829,0.00007193727,0.00006910589,0.000027345364,0.00021568341,0.00008109502,0.000003404073],"category_scores_gemma":[0.00040972486,0.00004114367,0.00002389065,0.0006929301,0.0006937501,0.00014890455,0.00008179724,0.00012420448,5.952892e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022638746,0.000053276774,0.02679177,0.000009318274,0.0000018009713,0.00006824833,0.0001408632,0.0000041468293,0.9670758,0.0006989658,0.00001192308,0.004917486],"study_design_scores_gemma":[0.0001455899,0.00063372054,0.80840933,0.00006722297,0.000002195032,0.000053363194,0.00010613737,0.000059489386,0.19007994,0.00035027965,0.000023278744,0.000069474656],"about_ca_topic_score_codex":0.00018883798,"about_ca_topic_score_gemma":0.0019920385,"teacher_disagreement_score":0.7816175,"about_ca_system_score_codex":0.000018929224,"about_ca_system_score_gemma":0.000013478134,"threshold_uncertainty_score":0.25561512},"labels":[],"label_agreement":null},{"id":"W4254581577","doi":"10.5849/fs-2016-083","title":"“The Devil Is in the Details”: Inland Northwest Stakeholders' Views on Three Forest-Based Bioenergy Scenarios","year":2017,"lang":"en","type":"article","venue":"Forest Science","topic":"Social Acceptance of Renewable Energy","field":"Social 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":"","keywords":"Bioenergy; Geography; Agroforestry; Forestry; Environmental resource management; Environmental science; Biofuel; Ecology; Biology","score_opus":0.09120817461215763,"score_gpt":0.33192000378018627,"score_spread":0.24071182916802863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254581577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96855825,0.00018772547,0.0003550595,0.011619247,0.0010809365,0.0005183845,0.000007800238,0.000049320097,0.01762328],"genre_scores_gemma":[0.9974858,0.00010802076,0.00016848778,0.0013374132,0.0003348965,0.00010162448,0.0000018759467,0.000014470456,0.0004473749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962668,0.00017136685,0.00030932383,0.00056140154,0.0016449916,0.0010461126],"domain_scores_gemma":[0.99747884,0.0005135372,0.00035332702,0.0012694338,0.00018973305,0.00019515233],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0036556234,0.00022431866,0.00021412456,0.00013670746,0.009606186,0.0018069723,0.0048949057,0.00011586721,0.000028843744],"category_scores_gemma":[0.0020577929,0.00013640914,0.00011920582,0.0009874468,0.0052948133,0.0008184361,0.00015807887,0.00024094996,0.000053465905],"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":[0.000044517452,0.00011837787,0.7430693,0.0000053987965,0.0000061027736,0.00002599308,0.0051069492,0.010233351,0.00002435693,0.1911543,0.0025977877,0.04761358],"study_design_scores_gemma":[0.00089235144,0.00020997967,0.69757426,0.00012416132,0.000015883703,0.0000012969938,0.009436396,0.004595621,0.00013009131,0.038323853,0.24811885,0.0005772637],"about_ca_topic_score_codex":0.06470025,"about_ca_topic_score_gemma":0.9184592,"teacher_disagreement_score":0.85375893,"about_ca_system_score_codex":0.00026209146,"about_ca_system_score_gemma":0.0012645574,"threshold_uncertainty_score":0.99922925},"labels":[],"label_agreement":null},{"id":"W4281887257","doi":"10.1093/forsci/fxac019","title":"Predicting Lumber Grade Occurrence and Volume in Sugar Maple and Yellow Birch Logs","year":2022,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Ministère des Ressources naturelles et des Forêts","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Yellow birch; Maple; Hardwood; Deciduous; Sugar; Temperate climate; Mathematics; Forestry; Volume (thermodynamics); Botany; Horticulture; Environmental science; Geography; Biology; Food science; Physics","score_opus":0.007852255352465011,"score_gpt":0.21564031887011934,"score_spread":0.20778806351765433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281887257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965389,0.000027922888,0.00013646806,0.00033705952,0.0001966688,0.00020440847,0.0000067548826,0.000023438093,0.0025284095],"genre_scores_gemma":[0.99875814,0.000013876421,0.0003088143,0.00019004042,0.000005305045,0.00004673257,0.000002258808,0.0000033738236,0.0006714726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998675,0.000035656085,0.00012856224,0.00045628872,0.00032382246,0.00038067423],"domain_scores_gemma":[0.999655,0.000031896627,0.00004607128,0.00016957942,0.0000028512925,0.00009461936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008795128,0.00008538519,0.00008564594,0.00008571777,0.000590535,0.000037577167,0.00034815003,0.000019475041,0.0005809316],"category_scores_gemma":[0.00006393743,0.00008651041,0.000010247079,0.0006157727,0.0013186234,0.0003334172,0.0010634133,0.00016930714,0.000048406182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040697228,0.00003931546,0.9836973,0.0000042401703,7.077708e-7,0.000015974732,0.0005116703,0.008097507,0.00014214386,0.0063352063,0.0008665206,0.00028532138],"study_design_scores_gemma":[0.0002136238,0.00011592393,0.9367089,0.000003850687,0.0000031794978,0.000023616467,0.00026882437,0.04429092,0.000012887106,0.013199379,0.0050334428,0.0001254275],"about_ca_topic_score_codex":0.00095958414,"about_ca_topic_score_gemma":0.0027395736,"teacher_disagreement_score":0.046988394,"about_ca_system_score_codex":0.00011630555,"about_ca_system_score_gemma":0.000018817125,"threshold_uncertainty_score":0.6360794},"labels":[],"label_agreement":null},{"id":"W4284969034","doi":"10.1093/forsci/fxac024","title":"Modeling Individual Extended Attack Wildfire Suppression Expenditures in British Columbia","year":2022,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","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":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Parametric statistics; Environmental science; Nonparametric statistics; Inflation (cosmology); Parametric model; Index (typography); Statistics; Mean squared error; Meteorology; Physical geography; Econometrics; Computer science; Geography; Mathematics","score_opus":0.011648102031235227,"score_gpt":0.23440431834451478,"score_spread":0.22275621631327955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284969034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979215,0.000053510066,0.00011863723,0.000039582683,0.0006372456,0.0004260421,0.000027376129,0.00006688251,0.000709183],"genre_scores_gemma":[0.99907726,0.0000023080365,0.00029091866,0.00012639063,0.000030813484,0.0001535792,0.000013317791,0.000017225804,0.00028816296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99670416,0.00012451629,0.00027940335,0.0007353817,0.0015102956,0.0006462359],"domain_scores_gemma":[0.9993267,0.00004297379,0.00007431847,0.000388407,0.0000037354564,0.00016388828],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014692685,0.000109170476,0.00016382876,0.00007013344,0.0010985626,0.00044824058,0.0013485671,0.00003917796,0.0017834239],"category_scores_gemma":[0.00010237774,0.00016618457,0.00004209358,0.0007794274,0.00038650283,0.00085040845,0.0014988391,0.00030325458,0.00009197328],"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":[0.000007979472,0.00020004559,0.44475687,0.000007121532,0.0000017827591,0.00014239775,0.00079405407,0.5379321,0.0022672166,0.000013436935,0.008554204,0.0053228005],"study_design_scores_gemma":[0.0003479235,0.000108847256,0.35700035,0.000034675246,0.0000025196748,0.00010163063,0.00035511205,0.640305,0.00003300223,0.0005350545,0.00092673826,0.0002491656],"about_ca_topic_score_codex":0.07407655,"about_ca_topic_score_gemma":0.16925089,"teacher_disagreement_score":0.10237289,"about_ca_system_score_codex":0.00048146697,"about_ca_system_score_gemma":0.000061277344,"threshold_uncertainty_score":0.99912906},"labels":[],"label_agreement":null},{"id":"W4313477867","doi":"10.1093/forsci/fxac060","title":"Life-Cycle Greenhouse Gas Emissions from Forest Bioenergy Production at Combined Heat and Power Projects in Nova Scotia, Canada","year":2023,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Additionality; Greenhouse gas; Bioenergy; Environmental science; Renewable energy; Biomass (ecology); Life-cycle assessment; Raw material; Biofuel; Carbon offset; Agroforestry; Waste management; Production (economics); Agronomy; Engineering; Economics; Ecology","score_opus":0.012017572884916953,"score_gpt":0.21012399272787385,"score_spread":0.1981064198429569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313477867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704874,0.000063310246,0.00011941188,0.00072932465,0.0009920642,0.00027804507,0.000011477606,0.00023843393,0.0005191868],"genre_scores_gemma":[0.99935985,0.000028556025,0.0000870338,0.00008638375,0.00002672128,0.00001381103,0.000033457665,0.000020300777,0.0003438701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99870557,0.0000097614475,0.00018503974,0.00035967966,0.0003525282,0.00038745167],"domain_scores_gemma":[0.9994106,0.000019002982,0.000019497265,0.00028423168,0.000032581633,0.0002340611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015418134,0.00013764224,0.000115565854,0.00028790123,0.00014709214,0.000054760367,0.00021367727,0.00003484215,0.000040426134],"category_scores_gemma":[0.00018767895,0.00012910411,0.000013673515,0.0016062356,0.00017561516,0.00023617515,0.00018408855,0.00005970779,0.000028696146],"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":[0.000027030128,0.00005756375,0.3539274,0.00006972719,0.000014831311,0.000048343383,0.00058938784,0.5925434,0.0057346583,0.003755276,0.0429256,0.00030672035],"study_design_scores_gemma":[0.0006078053,0.00006885478,0.61832094,0.00011687023,0.000007553536,0.00000385978,0.00029252807,0.3735099,0.0024909345,0.0006382925,0.003558639,0.0003837721],"about_ca_topic_score_codex":0.2055173,"about_ca_topic_score_gemma":0.9496936,"teacher_disagreement_score":0.7441763,"about_ca_system_score_codex":0.00022812048,"about_ca_system_score_gemma":0.00020398166,"threshold_uncertainty_score":0.7997732},"labels":[],"label_agreement":null},{"id":"W4378375622","doi":"10.1093/forsci/fxad027","title":"Quantile Regression Analysis of the Modifying Industrial Operations Protocol’s Impact on Forestry Fire Incremental Growth","year":2023,"lang":"en","type":"article","venue":"Forest Science","topic":"Fire effects on ecosystems","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":"Natural Resources Canada; Canadian Forest Service; Western University; University of Windsor","funders":"","keywords":"Quantile regression; Legislation; Forestry; Quantile; Environmental resource management; Flexibility (engineering); Environmental science; Business; Geography; Economics; Econometrics; Statistics; Political science; Mathematics","score_opus":0.031199889466366384,"score_gpt":0.31328371309547204,"score_spread":0.28208382362910567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378375622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896918,3.4465083e-7,0.0000306908,0.000088795154,0.00017337466,0.009317118,0.000033127042,0.000049218237,0.0006155675],"genre_scores_gemma":[0.99654216,2.3427022e-7,0.000032291187,0.00002191807,0.000030955212,0.0032670991,0.00000767079,0.0000092300625,0.00008846637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976768,0.00010173656,0.00029211273,0.0004233266,0.0011128542,0.0003931862],"domain_scores_gemma":[0.9990741,0.000099471705,0.00014350159,0.0005477357,0.000020109592,0.00011509619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011744606,0.00015740795,0.00020270725,0.0002165504,0.0006528957,0.00008868997,0.0009352798,0.00006963316,0.0002377058],"category_scores_gemma":[0.0004115515,0.00008823191,0.00016372954,0.00647296,0.00056651374,0.0004934245,0.0005136732,0.0001728479,0.00014193892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026767659,0.00006222524,0.715853,0.000006400784,0.00002134566,0.0000021338556,0.0001911226,0.2723947,0.009634241,0.00033274383,0.0011068074,0.0003685236],"study_design_scores_gemma":[0.00019916469,0.00011557321,0.5083078,0.000052997133,0.000023275792,7.6642516e-7,0.00003681883,0.4880264,0.003079182,0.000055590797,0.00001847465,0.00008397311],"about_ca_topic_score_codex":0.0039606015,"about_ca_topic_score_gemma":0.0009143172,"teacher_disagreement_score":0.21563171,"about_ca_system_score_codex":0.00034685404,"about_ca_system_score_gemma":0.000094937306,"threshold_uncertainty_score":0.5987271},"labels":[],"label_agreement":null},{"id":"W4385294026","doi":"10.1093/forsci/fxad036","title":"Can Moisture-Indicating Understory Plants Be Used to Predict Survivorship of Large Lodgepole Pine Trees During Severe Outbreaks of Mountain Pine Beetle?","year":2023,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Understory; Mountain pine beetle; Pinus contorta; Outbreak; Environmental science; Water content; Woody plant; Ecology; Biology; Agronomy; Geology; Canopy","score_opus":0.015900444123220104,"score_gpt":0.24476614299439592,"score_spread":0.2288656988711758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385294026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969081,0.000007081331,0.00019600254,0.00036015426,0.00019448031,0.00036821933,0.00008424802,0.00007273928,0.0018089509],"genre_scores_gemma":[0.99883926,0.000005020655,0.00014744379,0.000114009024,0.000020402056,0.000027143036,0.000018478944,0.000013624973,0.0008146175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997781,0.000048900623,0.00034005713,0.0004741723,0.0007220521,0.00063385343],"domain_scores_gemma":[0.99907774,0.0000831885,0.00020125022,0.0004399054,0.0000146407965,0.00018325172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012264346,0.0001637242,0.00023134143,0.00027096685,0.00034793973,0.000014345844,0.00083772175,0.00006777442,0.00020066254],"category_scores_gemma":[0.0002061327,0.00015368621,0.00004870162,0.0013470962,0.00079856213,0.00021558191,0.00074621773,0.00012112403,0.00007867163],"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":[0.000057402434,0.0001754884,0.89011484,0.000078702586,0.000020039997,0.000024879117,0.0045144474,0.06356327,0.034966126,0.0054429458,0.0009684429,0.00007338439],"study_design_scores_gemma":[0.00041395423,0.00016954388,0.99226534,0.000044693606,0.000008852292,0.0000053983404,0.00075224135,0.0019542065,0.0031171658,0.0009548896,0.00014674757,0.00016693793],"about_ca_topic_score_codex":0.004031303,"about_ca_topic_score_gemma":0.08289271,"teacher_disagreement_score":0.1021505,"about_ca_system_score_codex":0.0002706473,"about_ca_system_score_gemma":0.00006893049,"threshold_uncertainty_score":0.9338421},"labels":[],"label_agreement":null},{"id":"W4386268141","doi":"10.1093/forsci/fxad038","title":"The Relative Importance of Crown Position and Vigor in Determining the Growth and Mortality of Sugar Maple Trees","year":2023,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Yellow birch; Crown (dentistry); Competition (biology); Hardwood; Maple; Biology; Interspecific competition; Silviculture; Tree (set theory); Aceraceae; Forestry; Botany; Ecology; Geography; Mathematics","score_opus":0.010003166322175294,"score_gpt":0.24418681638550163,"score_spread":0.23418365006332634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386268141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837106,0.000013899339,0.00009505688,0.00023512144,0.000032843003,0.00014545069,0.0000022094905,0.0000050862204,0.0010992782],"genre_scores_gemma":[0.9997952,0.00003428989,0.000083003135,0.000028392513,0.0000020644645,0.000010170919,5.883705e-7,0.0000015929031,0.000044720462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999371,0.0000241211,0.00013300104,0.00015830867,0.00016611285,0.00014745796],"domain_scores_gemma":[0.99962014,0.00013996882,0.00008445747,0.0001283134,0.0000059709005,0.00002116349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008609169,0.000044465312,0.00005926726,0.000028243474,0.0002359287,0.000012057354,0.00019902254,0.000015973312,0.000008092218],"category_scores_gemma":[0.00015742074,0.000026014888,0.00000996324,0.0004331796,0.0021287643,0.00023651827,0.0002655482,0.000043813656,0.000002824464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054288284,0.000007637649,0.94605213,0.0000033457338,0.000001383549,0.0000013021653,0.00045364292,0.0002329709,0.00042552172,0.052691437,0.000029166269,0.00009602709],"study_design_scores_gemma":[0.00008381682,0.000052098876,0.9402068,0.000006449456,0.0000035752298,6.028598e-7,0.00011709633,0.0029388121,0.00031105435,0.05624326,0.0000073483398,0.000029088838],"about_ca_topic_score_codex":0.00019464814,"about_ca_topic_score_gemma":0.0042795674,"teacher_disagreement_score":0.005845338,"about_ca_system_score_codex":0.000016974758,"about_ca_system_score_gemma":0.000008144672,"threshold_uncertainty_score":0.78435206},"labels":[],"label_agreement":null},{"id":"W4389502072","doi":"10.1093/forsci/fxad050","title":"Georgia and Florida Logging Businesses Persevere Through Pandemic, Rising Costs, and Uncertainty","year":2023,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Logging; Business; Economic shortage; Quarter (Canadian coin); Agricultural economics; Geography; Forestry; Economics; Archaeology","score_opus":0.017045952319401644,"score_gpt":0.24543677445056505,"score_spread":0.2283908221311634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389502072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901044,0.00026259836,0.0062755113,0.00012218022,0.0004326344,0.00012797056,0.00000471686,0.00050583616,0.002164151],"genre_scores_gemma":[0.99887,0.0005537643,0.00032565024,0.000059348728,0.00003194144,0.0000061177566,0.0000070003193,0.0000112106645,0.00013497815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991984,0.000004777053,0.00010067491,0.00022488296,0.00018760515,0.00028367652],"domain_scores_gemma":[0.9997249,0.000029159159,0.000016274847,0.00013012762,0.000033941324,0.00006560152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022313608,0.00010315418,0.00008518666,0.00012986873,0.00024517847,0.0001457482,0.00012676547,0.00002770554,0.000011139363],"category_scores_gemma":[0.000057905454,0.000093727256,0.00000978621,0.0007899935,0.00032628834,0.00043242844,0.0001397791,0.00004983896,0.000022006656],"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":[0.000015304922,0.000015004619,0.25038117,0.0005886711,0.000033871187,0.000051121104,0.0038859681,0.59974813,0.005756438,0.116226576,0.006594608,0.016703157],"study_design_scores_gemma":[0.00042510658,0.00002175977,0.19424908,0.00012982322,0.000015865478,0.000023741823,0.0015141667,0.7712044,0.00017946101,0.004139852,0.027708566,0.0003881825],"about_ca_topic_score_codex":0.000087715096,"about_ca_topic_score_gemma":0.0001839703,"teacher_disagreement_score":0.17145629,"about_ca_system_score_codex":0.000079086385,"about_ca_system_score_gemma":0.000025727291,"threshold_uncertainty_score":0.38220868},"labels":[],"label_agreement":null},{"id":"W4394679219","doi":"10.1093/forestscience/52.6.694","title":"Tree-Level Models for Predicting Lumber Volume Recovery of Black Spruce Using Selected Tree Characteristics","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Intertek (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations; Université Laval","keywords":"Black spruce; Tree (set theory); Forestry; Mathematics; Volume (thermodynamics); Environmental science; Geography; Taiga","score_opus":0.01870625001251884,"score_gpt":0.22296479340242165,"score_spread":0.2042585433899028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394679219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79725623,0.0000029183227,0.19685562,0.000038786147,0.00021222202,0.00037853554,0.000033548273,0.00003476457,0.0051873615],"genre_scores_gemma":[0.98223436,0.0000022520012,0.015430557,0.000049016315,0.000058065598,0.000019221425,0.000014151577,0.000014094232,0.0021782576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99824256,0.000019260042,0.00035951423,0.0004586133,0.00037806787,0.0005419923],"domain_scores_gemma":[0.9992914,0.000053916563,0.00024059552,0.00028222392,0.00005486261,0.00007695388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005982336,0.00015058895,0.00019051359,0.00009031521,0.00031859937,0.000039834373,0.0004898199,0.000072270974,0.00012993292],"category_scores_gemma":[0.00015043217,0.00014848239,0.000057555346,0.0007575059,0.0011112066,0.0007369008,0.00027246904,0.00008104371,0.00004365992],"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":[0.00010008796,0.0003099717,0.4057005,0.000054895394,0.000016070193,0.0000069632333,0.00025081204,0.5415807,0.016198948,0.029437695,0.0046666223,0.0016767355],"study_design_scores_gemma":[0.0001951579,0.00009242401,0.40575987,0.000014148114,0.000019206256,0.0000028192765,0.00001570452,0.57374525,0.00038434946,0.019535175,0.00011002546,0.00012589061],"about_ca_topic_score_codex":0.0008448476,"about_ca_topic_score_gemma":0.002655201,"teacher_disagreement_score":0.18497814,"about_ca_system_score_codex":0.00019374331,"about_ca_system_score_gemma":0.00006845597,"threshold_uncertainty_score":0.6054936},"labels":[],"label_agreement":null},{"id":"W4394679240","doi":"10.1093/forestscience/52.4.353","title":"The Law of One Price in the North American Softwood Lumber Markets","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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 Toronto","funders":"","keywords":"Softwood; Economics; Agricultural economics; Law; Pulp and paper industry; Engineering; Political science","score_opus":0.005395232938792701,"score_gpt":0.2106870548055214,"score_spread":0.2052918218667287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394679240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86390966,0.0000070792744,0.000028681625,0.0006393345,0.000036635043,0.0001712318,0.0000014489937,0.000009542536,0.13519642],"genre_scores_gemma":[0.9981953,0.000007742321,0.00020670272,0.00033215227,0.000029059618,0.000014906523,9.997332e-7,0.000004021865,0.0012091035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858546,0.000042206048,0.000167145,0.000204869,0.00061021995,0.00039009633],"domain_scores_gemma":[0.9993505,0.000112982554,0.00010463586,0.00039228544,0.000006737551,0.000032885895],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00086591294,0.00007945123,0.0000727962,0.000030365365,0.0003462417,0.00007241977,0.0011197949,0.000008236081,0.00008955785],"category_scores_gemma":[0.00004432441,0.000045805267,0.000027237946,0.0016446686,0.0034004059,0.00025152927,0.0002519112,0.000078623765,0.0002492393],"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":[0.0000105517665,0.00010646739,0.8920734,0.000002984703,0.0000013120629,0.0000024327846,0.0003223818,0.0049783243,0.00006621984,0.0959234,0.0052844947,0.0012280394],"study_design_scores_gemma":[0.000070353926,0.00003378879,0.9766834,0.0000028226682,0.0000026559928,0.0000010522658,0.000024913797,0.0016291932,0.000014698455,0.0024013214,0.019066485,0.00006936554],"about_ca_topic_score_codex":0.012830553,"about_ca_topic_score_gemma":0.05780661,"teacher_disagreement_score":0.13428567,"about_ca_system_score_codex":0.00005056682,"about_ca_system_score_gemma":0.000013584275,"threshold_uncertainty_score":0.99931175},"labels":[],"label_agreement":null},{"id":"W4394679323","doi":"10.1093/forestscience/52.4.446","title":"Comparative Views of Different Stumpage Pricing Systems: Canada and the United States","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":9,"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":"Stumpage; Economics; Forestry; Agricultural economics; Geography; Environmental science","score_opus":0.024475201432850393,"score_gpt":0.2818199726476293,"score_spread":0.25734477121477894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394679323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572176,0.00020149688,0.00007716514,0.0011537055,0.000108896806,0.0002186598,0.00004329587,0.0000045933452,0.0024704405],"genre_scores_gemma":[0.9987778,0.000029333707,0.0000048529864,0.00022076067,0.00004202198,0.000006483364,0.0000014031125,0.000001395589,0.00091597036],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989618,0.00009192029,0.00014634346,0.000118446136,0.00043541685,0.00024606189],"domain_scores_gemma":[0.9993548,0.0002507925,0.00013218935,0.00010721773,0.00007551896,0.00007948768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054648105,0.000057219484,0.00014194104,0.000046661713,0.00056780607,0.00007555764,0.00028579103,0.000010976966,0.000003165117],"category_scores_gemma":[0.0000968225,0.000035542533,0.000011902377,0.000622309,0.0020609403,0.000100474375,0.000031575448,0.00004784924,4.570535e-7],"study_design_candidate":"theoretical_or_conceptual","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":[0.000008627635,0.000009831109,0.0100384345,0.000012286965,0.0000029447156,0.0000016745113,0.0125916675,0.0059166118,0.000030643972,0.9611464,0.0102237575,0.000017100676],"study_design_scores_gemma":[0.0014951936,0.000077708646,0.640488,0.0002971367,0.000034480647,0.000004670306,0.02184333,0.049395975,0.00043677384,0.02796821,0.25741804,0.0005404242],"about_ca_topic_score_codex":0.9981622,"about_ca_topic_score_gemma":0.9986904,"teacher_disagreement_score":0.9331782,"about_ca_system_score_codex":0.00017599475,"about_ca_system_score_gemma":0.0006354072,"threshold_uncertainty_score":0.759362},"labels":[],"label_agreement":null},{"id":"W4394679341","doi":"10.1093/forestscience/51.6.633","title":"BOOK REVIEWS: Valuing Agroforestry Systems: Methods and Applications","year":2005,"lang":"en","type":"article","venue":"Forest Science","topic":"Agriculture and Rural Development Research","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":"University of Alberta","funders":"","keywords":"Agroforestry; Geography; Forestry; Environmental science","score_opus":0.026843113047327928,"score_gpt":0.3266073142878906,"score_spread":0.29976420124056263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394679341","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4119256,0.434905,0.023668056,0.050931696,0.0011244413,0.012274544,0.00006061583,0.0011443341,0.0639657],"genre_scores_gemma":[0.91812044,0.017228223,0.022851354,0.003599155,0.0030101542,0.0011292562,0.00006855815,0.0000036979566,0.033989146],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871033,0.00006156343,0.00020720765,0.00034986722,0.00030318965,0.00036782643],"domain_scores_gemma":[0.9994853,0.000110094355,0.0000659986,0.00006781366,0.00008379973,0.00018699637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012435614,0.00010791074,0.00013889237,0.000019884448,0.0006495672,0.00018377863,0.0004338058,0.00004834605,0.00012991934],"category_scores_gemma":[0.0000699306,0.00003267801,0.000032667765,0.0007688101,0.00029903225,0.00047675875,0.0001730835,0.00011011326,0.00018981603],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005286883,0.0000725164,0.0047548064,0.000046151814,0.0000065834975,0.0000016970598,0.00014753685,0.0001227072,0.1051483,0.0510148,0.052726075,0.7859535],"study_design_scores_gemma":[0.000029110784,0.00003349962,0.055879194,0.0000392923,0.0000036452218,0.000019004272,0.00009319654,0.0004891556,0.00049296906,0.00053642044,0.9422463,0.00013818093],"about_ca_topic_score_codex":0.00005285823,"about_ca_topic_score_gemma":0.00004060301,"teacher_disagreement_score":0.8895202,"about_ca_system_score_codex":0.000041535408,"about_ca_system_score_gemma":0.000020050547,"threshold_uncertainty_score":0.49960116},"labels":[],"label_agreement":null},{"id":"W4394679388","doi":"10.1093/forestscience/51.4.277","title":"Comparing and Combining Stem Analysis and Permanent Sample Plot Data in Site Index Models","year":2005,"lang":"en","type":"article","venue":"Forest Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Universidade de Santiago de Compostela; Xunta de Galicia","keywords":"Site index; Plot (graphics); Index (typography); Statistics; Sample (material); Geography; Forestry; Mathematics; Computer science; Chemistry","score_opus":0.04768651550920183,"score_gpt":0.2700057997363286,"score_spread":0.22231928422712677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394679388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5644933,0.00009365903,0.43517625,0.0000780689,0.000031103118,0.000026364623,0.0000017991835,0.000026839256,0.00007264165],"genre_scores_gemma":[0.96249884,0.000012793882,0.03741997,0.00003811167,0.000012505852,0.0000014848291,0.0000033061142,0.00000216361,0.000010819313],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987978,0.000018223727,0.00016341971,0.000523306,0.00025834178,0.00023894283],"domain_scores_gemma":[0.9993178,0.00005121096,0.000064867534,0.00044264342,0.00003764066,0.000085802545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006941042,0.00007970422,0.00014110933,0.00039593442,0.00027926464,0.0005124122,0.0007119005,0.00001956582,4.7292474e-7],"category_scores_gemma":[0.00002103665,0.00007306779,0.00000931646,0.001246635,0.00031719348,0.0028229747,0.0008078392,0.000096520154,0.0000017943479],"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":[0.0000029029102,0.000025309137,0.8514132,0.000013300466,0.000008300871,0.0000021307276,0.002336068,0.08834026,0.00012326034,0.007677406,0.000003896519,0.050053995],"study_design_scores_gemma":[0.0001388729,0.000007717339,0.08536036,0.000019371242,0.000008038173,0.000018498946,0.00005221357,0.91246974,0.000035679655,0.0017896753,0.00001245929,0.00008738321],"about_ca_topic_score_codex":0.0004328976,"about_ca_topic_score_gemma":0.001224024,"teacher_disagreement_score":0.82412946,"about_ca_system_score_codex":0.000031857813,"about_ca_system_score_gemma":0.00008348674,"threshold_uncertainty_score":0.4941203},"labels":[],"label_agreement":null},{"id":"W4394679416","doi":"10.1093/forestscience/51.6.513","title":"Soil Compaction and Forest Floor Removal Affect Early Growth and Physiology of Lodgepole Pine and Douglas-Fir in British Columbia","year":2005,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Forests; University of British Columbia; University of Alberta","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; University of Alberta; U.S. Department of Agriculture","keywords":"Douglas fir; Environmental science; Soil compaction; Forestry; Forest floor; Compaction; Pinus contorta; Pine forest; Affect (linguistics); Ecology; Biology; Soil water; Geology; Soil science; Geography; Geotechnical engineering; Psychology","score_opus":0.004225408769200536,"score_gpt":0.1986412688191038,"score_spread":0.19441586004990327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394679416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987058,0.00006298924,0.00012513297,0.00014444235,0.00008914445,0.00022351039,0.0000030180943,0.00001405903,0.0006318726],"genre_scores_gemma":[0.999065,0.00006872942,0.0005731957,0.000089242836,0.000020556661,0.000010300028,0.0000014670237,0.0000048772304,0.00016667278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989641,0.000028026618,0.00015876787,0.00038530867,0.00015931377,0.0003044885],"domain_scores_gemma":[0.99966896,0.00003351156,0.00007110626,0.00012240426,0.00000712217,0.00009690146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036812556,0.00007949239,0.00015987793,0.000051851388,0.00022032399,0.00007828689,0.00015238074,0.00005099839,0.00007156764],"category_scores_gemma":[0.00006389365,0.000101783735,0.000012996633,0.0002533482,0.0021704622,0.0005260332,0.00031342733,0.00008854967,0.000010008653],"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":[0.000023151311,0.000097112745,0.98788774,0.000028726561,0.000003665548,0.0000138613,0.00025555937,0.0016765147,0.006348901,0.0014054123,0.0003582732,0.001901083],"study_design_scores_gemma":[0.0005359083,0.00022252073,0.98354733,0.000019507259,0.0000056311874,0.000060220395,0.00002995162,0.009262674,0.00008888859,0.006016647,0.00010450655,0.000106208325],"about_ca_topic_score_codex":0.028328858,"about_ca_topic_score_gemma":0.41296083,"teacher_disagreement_score":0.384632,"about_ca_system_score_codex":0.00004707657,"about_ca_system_score_gemma":0.000011371349,"threshold_uncertainty_score":0.9781416},"labels":[],"label_agreement":null},{"id":"W4394679458","doi":"10.1093/forestscience/50.6.810","title":"A Pòlya-Urn Resampling Scheme for Estimating Precision and Confidence Intervals Under One-Stage Cluster Sampling: Application to Map Classification Accuracy and Cover-Type Frequencies","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","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":"Canadian Forest Service","funders":"","keywords":"Resampling; Statistics; Confidence interval; Mathematics; Sampling (signal processing); Cluster sampling; Cover (algebra); Cluster (spacecraft); Computer science; Demography; Population","score_opus":0.23403914503973008,"score_gpt":0.4314568123309775,"score_spread":0.1974176672912474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394679458","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3046572,0.000026766358,0.6936843,0.0005730009,0.00008173302,0.00079437584,0.000010803574,0.00014594123,0.000025938842],"genre_scores_gemma":[0.50814205,0.0000052916143,0.49156344,0.00012255242,0.00002867398,0.00009296802,0.000007546246,0.000012860135,0.000024627168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981915,0.000027563286,0.00046715024,0.0005938268,0.0003955695,0.00032441362],"domain_scores_gemma":[0.99699205,0.0016384136,0.0002939943,0.00044270226,0.00047673236,0.00015609471],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0026391575,0.00017980614,0.00021808887,0.00021919986,0.0005396023,0.00037638514,0.00034357974,0.00009016739,0.0000034987725],"category_scores_gemma":[0.008377486,0.00017121481,0.000027650116,0.0004368804,0.0003236093,0.0007120449,0.00017822935,0.00012453059,0.000011339265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022093323,0.00018441684,0.0036174506,0.00080689683,0.000021028593,3.869844e-7,0.004274664,0.042812515,0.14639479,0.7869666,0.00021973024,0.014480533],"study_design_scores_gemma":[0.00041105406,0.00020214514,0.0047496473,0.0007296148,0.000017247898,0.00000839821,0.00032660912,0.2587358,0.007106258,0.727183,0.00019680065,0.0003334081],"about_ca_topic_score_codex":0.00010625762,"about_ca_topic_score_gemma":0.00005125432,"teacher_disagreement_score":0.2159233,"about_ca_system_score_codex":0.00016270753,"about_ca_system_score_gemma":0.0001582109,"threshold_uncertainty_score":0.9999754},"labels":[],"label_agreement":null},{"id":"W4394679839","doi":"10.1093/forestscience/54.5.523","title":"Using the Space-Time Permutation Scan Statistic to Map Anomalous Diameter Distributions Drawn from Landscape-Scale Forest Inventories","year":2008,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Western University","funders":"U.S. Forest Service","keywords":"Statistic; Scale (ratio); Permutation (music); Scan statistic; Geography; Physical geography; Forestry; Environmental science; Statistics; Mathematics; Cartography; Physics","score_opus":0.0126542722476299,"score_gpt":0.23323849316299397,"score_spread":0.22058422091536406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394679839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8800836,0.000011399653,0.117572956,0.0007254959,0.00036727413,0.00035049315,0.00008287903,0.000039547213,0.0007663078],"genre_scores_gemma":[0.9916002,0.0000019039234,0.0072800964,0.00026254545,0.000054602777,0.000041049057,0.00004264998,0.000009191669,0.0007077322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984066,0.000042201606,0.00018329149,0.00043829464,0.0004492306,0.0004804092],"domain_scores_gemma":[0.9992281,0.0001118947,0.00008022142,0.0003776463,0.000021311776,0.00018082395],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030443489,0.00014635162,0.000122069,0.00006158494,0.0017758231,0.00012612813,0.0005552311,0.000037875907,0.0007943097],"category_scores_gemma":[0.00017047391,0.00011028462,0.000038555685,0.0006666919,0.0022420476,0.0004551805,0.0004199147,0.000091523136,0.001011029],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020785601,0.00008681068,0.90249765,0.0000031734248,0.000008109652,0.00002699164,0.0025077094,0.06722906,0.00081944914,0.015402419,0.011319897,0.000077922974],"study_design_scores_gemma":[0.00016097167,0.00009891359,0.9277602,0.00000983177,0.000021761623,0.000009603562,0.00014999515,0.041877497,0.00011743328,0.02680377,0.002790078,0.00019998016],"about_ca_topic_score_codex":0.0020360632,"about_ca_topic_score_gemma":0.0062957006,"teacher_disagreement_score":0.11151659,"about_ca_system_score_codex":0.0002709873,"about_ca_system_score_gemma":0.00007667079,"threshold_uncertainty_score":0.9997668},"labels":[],"label_agreement":null},{"id":"W4394683965","doi":"10.1093/forestscience/56.6.603","title":"Minimum-Inbreeding Seed Orchard Design","year":2010,"lang":"en","type":"article","venue":"Forest Science","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Národní Agentura pro Zemědělský Výzkum; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Grantová Agentura České Republiky","keywords":"Inbreeding; Seed orchard; Orchard; Biology; Tree breeding; Agronomy; Agroforestry; Geography; Ecology; Botany; Woody plant; Population; Demography; Sociology","score_opus":0.033602839100401585,"score_gpt":0.23126299326155844,"score_spread":0.19766015416115684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394683965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769986,0.000006385932,0.000074100775,0.0004987158,0.00035641438,0.00010777904,0.00000622054,0.000059156242,0.0011913842],"genre_scores_gemma":[0.99900043,0.000003607122,0.00037491674,0.00021327712,0.000157581,0.000018615321,0.0000043432306,2.2279369e-7,0.00022699374],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992069,0.000013061259,0.00009068627,0.00024044373,0.0001874675,0.00026142533],"domain_scores_gemma":[0.9995831,0.0001773286,0.000044115022,0.00003936624,0.000082032064,0.00007403779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004088849,0.000074649084,0.00008015855,0.000012098997,0.00065811066,0.000046183,0.0003778829,0.000042103096,0.0001336099],"category_scores_gemma":[0.00019874274,0.000025317431,0.000025467378,0.00048508047,0.00045935155,0.00024015404,0.00008837122,0.000116907446,0.000117439944],"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":[0.000007941402,0.000012647088,0.008615472,3.2974793e-7,0.0000011966458,8.280566e-7,0.00003923373,0.000020470454,0.9840962,0.005614267,0.00040724466,0.0011841637],"study_design_scores_gemma":[0.00007340425,0.000115707866,0.96730626,0.0000067984047,0.0000029172763,0.0000107036,0.00016854929,0.0009968891,0.017879575,0.008403849,0.004868763,0.00016656177],"about_ca_topic_score_codex":0.000018422958,"about_ca_topic_score_gemma":0.00010946919,"teacher_disagreement_score":0.9662166,"about_ca_system_score_codex":0.000005023238,"about_ca_system_score_gemma":0.000013480418,"threshold_uncertainty_score":0.5061722},"labels":[],"label_agreement":null},{"id":"W4394684032","doi":"10.1093/forestscience/57.2.102","title":"Estimating a Multilevel Dominant Height–Age Model from Nested Data with Generalized Errors","year":2011,"lang":"en","type":"article","venue":"Forest Science","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","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":"Government of Alberta","funders":"Forest Resource Improvement Association of Alberta; Government of Alberta","keywords":"Nested set model; Statistics; Mathematics; Multilevel model; Econometrics; Computer science; Data mining","score_opus":0.11677078518897419,"score_gpt":0.33650037201991223,"score_spread":0.21972958683093805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394684032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87035704,0.000037247,0.11988357,0.000092567054,0.0005492958,0.0006628121,0.00008621659,0.00015423045,0.008177054],"genre_scores_gemma":[0.78337604,0.0000105953495,0.21613434,0.000118481425,0.00009016408,0.000035458663,0.00002412605,0.000016549811,0.0001942465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963168,0.00011264211,0.00035687617,0.0010023387,0.001356698,0.0008546314],"domain_scores_gemma":[0.9978467,0.000057959474,0.000254695,0.0013778167,0.0001798789,0.00028293795],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0021145318,0.00023849253,0.00027343037,0.0002202378,0.0015217479,0.00024843717,0.0030318026,0.000069037946,0.00005877694],"category_scores_gemma":[0.0002820475,0.00018795306,0.00005107,0.0011337023,0.0027619249,0.0016602913,0.0006156551,0.0001573325,0.000041179872],"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":[0.00032398305,0.001028962,0.3504619,0.00006518296,0.00014997198,0.00048590978,0.12050868,0.082204975,0.0011591484,0.43067366,0.0018075213,0.011130098],"study_design_scores_gemma":[0.0006386074,0.00004024976,0.11515461,0.00007645218,0.000052940373,0.0000011576224,0.0010742994,0.8605598,0.000065785796,0.021537917,0.00035664244,0.00044149652],"about_ca_topic_score_codex":0.031585205,"about_ca_topic_score_gemma":0.032161437,"teacher_disagreement_score":0.7783549,"about_ca_system_score_codex":0.00008899043,"about_ca_system_score_gemma":0.00044485374,"threshold_uncertainty_score":0.99995196},"labels":[],"label_agreement":null},{"id":"W4394702270","doi":"10.1093/forestscience/52.4.401","title":"Consequences of Neglecting National Product Differentiation in Assessing the Impact of U.S.–Canada Softwood Lumber Disputes","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":"U.S. Department of Agriculture","keywords":"Softwood; Product (mathematics); Product differentiation; Forestry; Agricultural economics; Environmental science; Economics; Geography; Engineering; Pulp and paper industry; Mathematics; Microeconomics","score_opus":0.009812848083406583,"score_gpt":0.2701299022361051,"score_spread":0.2603170541526985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394702270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893878,0.000009623064,0.00006421256,0.00018206004,0.000053176795,0.000114582006,0.0000027825567,0.0000044687317,0.010181274],"genre_scores_gemma":[0.99962556,7.3750465e-7,0.0001655379,0.0000108667355,0.000024262075,0.00000400324,0.0000023589937,0.0000025473446,0.00016411017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877477,0.000026597869,0.00020329333,0.00016729733,0.0006084171,0.0002196361],"domain_scores_gemma":[0.9995882,0.000080837846,0.00017240376,0.0001127652,0.00002469649,0.000021122794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047687316,0.00006873313,0.00007776218,0.00006118098,0.00015431225,0.000041655145,0.00032551796,0.000009527927,0.00017777621],"category_scores_gemma":[0.0002292489,0.000044436652,0.000026710257,0.0009204709,0.0008658677,0.00045813926,0.0001028732,0.000048643262,0.000003142208],"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":[0.0000011288307,0.000026560216,0.8502766,0.0000036749966,0.0000013128308,2.5782342e-7,0.00006590299,0.133475,0.01241607,0.0026645854,0.0008936275,0.00017529442],"study_design_scores_gemma":[0.00006207909,0.000013482638,0.9717072,0.000014911618,0.0000017680297,0.0000011653199,0.000013036679,0.018162526,0.0021741088,0.007784133,0.000012391006,0.000053165782],"about_ca_topic_score_codex":0.40712908,"about_ca_topic_score_gemma":0.1828873,"teacher_disagreement_score":0.22424178,"about_ca_system_score_codex":0.00022619995,"about_ca_system_score_gemma":0.00027875023,"threshold_uncertainty_score":0.8320229},"labels":[],"label_agreement":null},{"id":"W4394702272","doi":"10.1093/forestscience/51.5.511","title":"BOOK REVIEW: Modern Biogeochemistry","year":2005,"lang":"en","type":"article","venue":"Forest Science","topic":"Geological Studies and Exploration","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 Alberta","funders":"","keywords":"Biogeochemistry; Environmental science; Geography; Oceanography; Geology","score_opus":0.014038813451993851,"score_gpt":0.21420262319070357,"score_spread":0.20016380973870973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394702272","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1181756,0.7823984,0.0017759397,0.033992037,0.0004620757,0.0004636622,0.000038982023,0.00019940773,0.0624939],"genre_scores_gemma":[0.9678793,0.013206594,0.00048108093,0.01725805,0.00013933262,0.0000017877578,0.00002342678,7.611093e-7,0.0010096692],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918133,0.000005426684,0.00010203087,0.00020520357,0.00025832723,0.00024768992],"domain_scores_gemma":[0.99969125,0.000016134352,0.000032664706,0.00012623855,0.000039316954,0.000094397576],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023883925,0.000060741237,0.00007220345,0.000015172405,0.0002823256,0.000031334235,0.00025791393,0.000017032586,0.0031473169],"category_scores_gemma":[0.000085214364,0.00004091518,0.000023697474,0.00025922956,0.00027814167,0.0003649893,0.000020328747,0.000047585167,0.00093643763],"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":[0.000013715789,0.000039762952,0.16823356,0.00009595016,0.000005110653,0.00000818156,0.00016698866,0.040045287,0.00027272655,0.00044961952,0.67250425,0.11816482],"study_design_scores_gemma":[0.000074601354,0.000061060455,0.08117825,0.0000745969,0.000005268504,0.000009559028,0.000011378759,0.06813379,0.00021007947,0.0022236132,0.8478424,0.0001754092],"about_ca_topic_score_codex":0.00009110236,"about_ca_topic_score_gemma":0.00023297881,"teacher_disagreement_score":0.84970367,"about_ca_system_score_codex":0.0000039340266,"about_ca_system_score_gemma":0.000025817924,"threshold_uncertainty_score":0.99984145},"labels":[],"label_agreement":null},{"id":"W4394702308","doi":"10.1093/forestscience/51.6.546","title":"Foliar δ13C and δ15N Response of Lodgepole Pine and Douglas-Fir Seedlings to Soil Compaction and Forest Floor Removal","year":2005,"lang":"en","type":"article","venue":"Forest Science","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Forest Service; Killam Trusts; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; University of Alberta; Korea Science and Engineering Foundation; U.S. Department of Agriculture","keywords":"Douglas fir; Soil compaction; Forestry; Environmental science; Pinus contorta; Forest floor; Compaction; Agronomy; Agroforestry; Soil water; Geology; Biology; Soil science; Geography; Geotechnical engineering","score_opus":0.008284958253169104,"score_gpt":0.23169427041442509,"score_spread":0.22340931216125598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394702308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709874,0.00018671015,0.00052030495,0.0010399715,0.00011428622,0.00016599064,0.000004983023,0.00002538702,0.00084359647],"genre_scores_gemma":[0.996879,0.00005687491,0.0024364742,0.00023091907,0.00004632204,0.00000493054,4.2163515e-7,0.000007454779,0.0003376097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858123,0.000029234005,0.00020177524,0.0004242749,0.00039903945,0.00036442652],"domain_scores_gemma":[0.9993601,0.00010443969,0.00006855509,0.00017748146,0.00002241896,0.00026704188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010113788,0.00014648146,0.00018690199,0.00009894465,0.00044128284,0.00006657423,0.00017825725,0.000038094706,0.000020977439],"category_scores_gemma":[0.00036468083,0.00012341069,0.000019533703,0.00040192268,0.0013746037,0.00040543664,0.0003687241,0.000077044824,0.000024706107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071960443,0.00008159694,0.9183121,0.000024287674,0.000008637169,0.000009204018,0.0032168513,0.008587178,0.06155555,0.0009986963,0.00047054497,0.006015772],"study_design_scores_gemma":[0.00038190925,0.0002296179,0.98192674,0.000026966518,0.000008369043,0.000049883478,0.00019367994,0.011518553,0.0020831276,0.0008464951,0.0025686752,0.00016595444],"about_ca_topic_score_codex":0.0014282876,"about_ca_topic_score_gemma":0.0022442306,"teacher_disagreement_score":0.06361469,"about_ca_system_score_codex":0.000068657275,"about_ca_system_score_gemma":0.000021103902,"threshold_uncertainty_score":0.5064785},"labels":[],"label_agreement":null},{"id":"W4394702352","doi":"10.1093/forestscience/52.5.511","title":"Total Factor Productivity Growth in the Sawmill and Wood Preservation Industry in the United States and Canada: A Comparative Study","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":8,"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":"Productivity; Agricultural economics; Forestry; Agroforestry; Geography; Environmental science; Economics; Economic growth","score_opus":0.02187143541991297,"score_gpt":0.24714978391086806,"score_spread":0.2252783484909551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394702352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972722,0.0000049938335,0.0000017124297,0.001296552,0.000017521366,0.0005837265,0.0000053409317,0.0000037889383,0.00081418833],"genre_scores_gemma":[0.9997007,0.0000012733157,0.000008111232,0.000137285,0.000013927296,0.000026655662,0.0000039211773,0.0000016061073,0.000106508385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989412,0.00010393526,0.00010363087,0.00023211565,0.00040609838,0.0002130193],"domain_scores_gemma":[0.99970734,0.000082332655,0.00004022924,0.00014054909,0.0000068610066,0.000022669736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006258752,0.00008215855,0.00006474808,0.000068223104,0.00019390359,0.00009801715,0.00031634426,0.000022122369,0.000012100623],"category_scores_gemma":[0.000051597497,0.00004689769,0.0000035546202,0.0010861207,0.00051407935,0.0004912853,0.00015359865,0.00021164998,0.000001798953],"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":[0.0000047096996,0.00008553376,0.98627156,0.0000019335148,5.363611e-7,0.0000031201776,0.0061012795,0.0056027034,0.000013965676,0.0010107869,0.0008882725,0.0000155987],"study_design_scores_gemma":[0.0001588574,0.00006613296,0.9903048,0.0000031143227,0.0000017254722,0.0000016791736,0.0017894406,0.006441835,0.0000077755385,0.0009746376,0.00018611756,0.0000638305],"about_ca_topic_score_codex":0.8667885,"about_ca_topic_score_gemma":0.9238938,"teacher_disagreement_score":0.057105277,"about_ca_system_score_codex":0.000078162244,"about_ca_system_score_gemma":0.000032154607,"threshold_uncertainty_score":0.19124323},"labels":[],"label_agreement":null},{"id":"W4394704290","doi":"10.1093/forestscience/50.4.436","title":"Tree Size Distribution Functions of Four Boreal Forest Types for Biomass Mapping","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Resources Canada; Canadian Space Agency; U.S. Forest Service; Canadian Forest Service; Government of Canada","keywords":"Taiga; Biomass (ecology); Tree (set theory); Boreal; Forestry; Distribution (mathematics); Environmental science; Geography; Agroforestry; Ecology; Biology; Mathematics","score_opus":0.014762412420300037,"score_gpt":0.231902249064526,"score_spread":0.21713983664422595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394704290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7232495,0.0000051663333,0.26875535,0.0006710871,0.00012766362,0.00027657053,0.000045864937,0.000043932014,0.00682489],"genre_scores_gemma":[0.991554,0.0000014049101,0.008132931,0.000021084683,0.000036795107,0.0000096739905,0.000025739275,0.0000060603725,0.00021227954],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989664,0.0000059683352,0.00017062956,0.00029280435,0.00028477027,0.00027943263],"domain_scores_gemma":[0.9994379,0.000067192384,0.00008910637,0.0002755578,0.000034802553,0.000095415424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029478702,0.000085377826,0.00008857762,0.00002693384,0.00041172345,0.000034395332,0.00027164366,0.000036191144,0.000015157068],"category_scores_gemma":[0.0002163982,0.00007486163,0.000057237557,0.0008303475,0.00080717454,0.00020797555,0.00007710299,0.00004367257,0.00007323557],"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":[0.00011412384,0.00083047844,0.22240756,0.00008614338,0.000039969065,0.0000061095243,0.0017008635,0.14385946,0.37521434,0.17259085,0.00981347,0.07333661],"study_design_scores_gemma":[0.0003823983,0.00011183602,0.94881105,0.000022460606,0.000014253169,0.000012951276,0.00011531072,0.010651561,0.0045402474,0.028934307,0.006240122,0.00016351974],"about_ca_topic_score_codex":0.0010825326,"about_ca_topic_score_gemma":0.0016763444,"teacher_disagreement_score":0.7264035,"about_ca_system_score_codex":0.00015325715,"about_ca_system_score_gemma":0.00006178156,"threshold_uncertainty_score":0.31666854},"labels":[],"label_agreement":null},{"id":"W4394704312","doi":"10.1093/forestscience/52.6.650","title":"Calibrating a Generalized Diameter Distribution Model with Mixed Effects","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Université Laval","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université Laval","keywords":"Statistics; Mathematics; Distribution (mathematics); Mixed model; Environmental science; Econometrics; Mathematical analysis","score_opus":0.004952954796420052,"score_gpt":0.19502085687774895,"score_spread":0.1900679020813289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394704312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5967929,0.000002996144,0.40183297,0.00003078322,0.00004303939,0.00009425814,0.000008587888,0.000026107518,0.001168364],"genre_scores_gemma":[0.96355885,4.4794783e-7,0.036082856,0.000070992086,0.000019343053,0.000021966289,0.000020119263,0.0000060303096,0.00021936257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988497,0.00001330172,0.00010488955,0.0003030464,0.0003920689,0.00033702527],"domain_scores_gemma":[0.9996484,0.000038490576,0.000053669963,0.00016992011,0.00001027867,0.000079226375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021341897,0.000094090145,0.00007742164,0.000019181352,0.0003036678,0.00009502706,0.00020262826,0.000019228271,0.000019574103],"category_scores_gemma":[0.00006041727,0.00007054318,0.000016495296,0.00043722586,0.00050263805,0.00029959,0.00012264776,0.000047362173,0.00004042368],"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":[0.000010356105,0.000046634683,0.080742836,0.000008468386,0.0000014410799,0.000012517857,0.00006826695,0.83521646,0.022545932,0.05785699,0.0021641464,0.0013259469],"study_design_scores_gemma":[0.00023273374,0.000041623476,0.12953594,0.000013511826,0.0000053012523,0.0000043690284,0.000004340252,0.85259736,0.0026260116,0.014668047,0.00012951287,0.00014124585],"about_ca_topic_score_codex":0.0010448919,"about_ca_topic_score_gemma":0.0004349929,"teacher_disagreement_score":0.36676598,"about_ca_system_score_codex":0.00009638737,"about_ca_system_score_gemma":0.000023213885,"threshold_uncertainty_score":0.28766674},"labels":[],"label_agreement":null},{"id":"W4394704318","doi":"10.1093/forestscience/49.5.815","title":"Book Reviews: Decision Methods for Forest Resource Management","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Forest management; Forestry; Environmental resource management; Geography; Environmental science","score_opus":0.022374213989593338,"score_gpt":0.34240163377170796,"score_spread":0.32002741978211463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394704318","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008025161,0.0032541521,0.4765578,0.0005438502,0.0008299818,0.0038523069,0.000004359427,0.00016936351,0.50676304],"genre_scores_gemma":[0.030685073,0.0011185568,0.82770693,0.008836619,0.00013440847,0.00074042083,0.000011531293,0.000072046365,0.13069439],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759257,0.00009021904,0.0003710688,0.00070489856,0.0004793378,0.0007619102],"domain_scores_gemma":[0.9986757,0.00016030391,0.00013853409,0.0007778518,0.000012087985,0.00023550556],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003676359,0.00022646275,0.00021523554,0.00017092896,0.0006108349,0.00013875563,0.0010688908,0.00004556152,0.0021992137],"category_scores_gemma":[0.00047298273,0.00018416787,0.00012681061,0.0012074731,0.00077390764,0.0006591271,0.0004308474,0.00008447758,0.0022443405],"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":[0.00003150827,0.000090586196,0.0056139654,0.000048294096,0.0000070123738,0.0000042227657,0.00018852168,0.013839365,0.00014917081,0.21152236,0.68317527,0.08532973],"study_design_scores_gemma":[0.0003055404,0.00008350073,0.00303518,0.00003936535,0.000019773464,0.0000037442737,0.000012920938,0.006092808,0.00005791401,0.020481504,0.96962607,0.00024167156],"about_ca_topic_score_codex":0.000028457831,"about_ca_topic_score_gemma":0.00004476087,"teacher_disagreement_score":0.37606865,"about_ca_system_score_codex":0.00019668172,"about_ca_system_score_gemma":0.000014765738,"threshold_uncertainty_score":0.9987129},"labels":[],"label_agreement":null},{"id":"W4394704322","doi":"10.1093/forestscience/50.2.139","title":"An Assessment of the Impacts of Forest Management on Aboriginal Hunters: Evidence from Stated and Revealed Preference Data","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"U.S. Forest Service; Canadian Forest Service; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Resources for the Future","keywords":"Preference; Geography; Forest management; Environmental resource management; Agroforestry; Forestry; Environmental science; Statistics; Mathematics","score_opus":0.03632822694248518,"score_gpt":0.3353491945612641,"score_spread":0.29902096761877894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394704322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99732995,0.000006971325,0.0015190438,0.00037023585,0.00008786238,0.00028214324,0.00003290713,0.000008583533,0.0003622991],"genre_scores_gemma":[0.99566543,0.000034267166,0.004120114,0.00014154494,0.00000798941,0.0000074350255,0.000008085782,0.0000030582123,0.0000120484765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861586,0.000047993002,0.00020836978,0.00042639245,0.00050161046,0.00019978493],"domain_scores_gemma":[0.9987468,0.00007235045,0.00019277888,0.00089140685,0.000019244826,0.00007743164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007107595,0.00009186127,0.000102987186,0.000037119386,0.00016508006,0.000027507664,0.0012970035,0.000027762202,0.000046237357],"category_scores_gemma":[0.00007464712,0.000063965854,0.0000118311345,0.00046360857,0.0010950959,0.001068861,0.00037689353,0.00008285162,0.0000062798044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023609995,0.000084192376,0.97797835,0.0000080438485,0.000003796126,0.0000017240374,0.00019780014,0.01714724,0.002110039,0.0021857047,0.000043633772,0.00021588485],"study_design_scores_gemma":[0.00023878827,0.00022248589,0.98829615,0.00018995994,0.000014514404,9.007005e-7,0.000081085505,0.007130964,0.00032505614,0.0034123173,0.000018923572,0.00006886594],"about_ca_topic_score_codex":0.0018006444,"about_ca_topic_score_gemma":0.0036472708,"teacher_disagreement_score":0.010317807,"about_ca_system_score_codex":0.000115750125,"about_ca_system_score_gemma":0.00013891226,"threshold_uncertainty_score":0.40349263},"labels":[],"label_agreement":null},{"id":"W4394704330","doi":"10.1093/forestscience/57.3.180","title":"Modeling Jack Pine (<i>Pinus banksiana</i>) Foliage Density Distribution","year":2011,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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 Rimouski","funders":"","keywords":"Jack pine; Pinus <genus>; Forestry; Environmental science; Woody plant; Distribution (mathematics); Botany; Biology; Geography; Mathematics","score_opus":0.01523296722614948,"score_gpt":0.20786705788520765,"score_spread":0.19263409065905818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394704330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71531504,0.0000068982745,0.2722691,0.00008388541,0.00028048348,0.00018333567,0.0000039254505,0.0000654796,0.011791889],"genre_scores_gemma":[0.9979607,0.000006407463,0.0014667992,0.00021226484,0.000019555431,0.00001542212,0.000007791115,0.000005790486,0.0003052958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99847174,0.000018172634,0.00017141766,0.00046573626,0.00035596022,0.00051698193],"domain_scores_gemma":[0.99940217,0.0000074281647,0.000048012447,0.00036297343,0.000016420207,0.00016298509],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00062562065,0.0001261863,0.00010214486,0.00003839582,0.00046299642,0.000029836281,0.00062274555,0.000049798415,0.000829801],"category_scores_gemma":[0.000084841864,0.00011352945,0.00004134496,0.00053807837,0.0009238365,0.0006300462,0.0005655689,0.000109422144,0.0015044269],"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":[0.00006716744,0.00037545507,0.15368213,0.000015625745,0.000011541789,0.00010219946,0.0013411696,0.15055664,0.00083798217,0.68809426,0.004079949,0.0008358809],"study_design_scores_gemma":[0.00026023426,0.00013975205,0.4322341,0.000009879865,0.000017621589,0.000016123427,0.000072220195,0.4288878,0.0006591341,0.1368369,0.00057048094,0.00029575432],"about_ca_topic_score_codex":0.0010575461,"about_ca_topic_score_gemma":0.0015106036,"teacher_disagreement_score":0.5512574,"about_ca_system_score_codex":0.00021175308,"about_ca_system_score_gemma":0.000022992483,"threshold_uncertainty_score":0.999273},"labels":[],"label_agreement":null},{"id":"W4394704344","doi":"10.1093/forestscience/57.2.117","title":"Estimating Wood Volume of the Stem and Branches of Sugar Maple (<i>Acer saccharum</i> Marsh.) Using a Stem Profile Model with Implicit Height","year":2011,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","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":"Ontario Forest Research Institute","funders":"","keywords":"Maple; Marsh; Aceraceae; Volume (thermodynamics); Saccharum; Botany; Sugar; Biology; Environmental science; Forestry; Mathematics; Geography; Ecology; Physics; Wetland","score_opus":0.01800434187524201,"score_gpt":0.20282314091076895,"score_spread":0.18481879903552695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394704344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.968816,0.0000146991515,0.028294416,0.000023814348,0.000059515427,0.0003749562,0.000007769746,0.0000121594785,0.002396667],"genre_scores_gemma":[0.97517985,8.083579e-7,0.024135428,0.000040533163,0.000003803947,0.000014472561,1.7658998e-7,0.000008190786,0.0006167492],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988122,0.000021220394,0.00020637219,0.0003216922,0.00032993747,0.000308559],"domain_scores_gemma":[0.9993422,0.0000149452435,0.00020744724,0.0003536781,0.000018743538,0.0000630058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046004175,0.00011662039,0.00015197306,0.000040077677,0.00025630233,0.0000137333955,0.00051146327,0.000035694855,0.00009738336],"category_scores_gemma":[0.000009403096,0.00007524892,0.000026819633,0.0004131291,0.0015070402,0.00038325545,0.0005747433,0.000072328134,0.000009941634],"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":[0.00007354786,0.00018303019,0.77205515,0.00013644491,0.000021579479,0.0000034765246,0.0035201593,0.16653049,0.01677103,0.03955552,0.00016669492,0.0009828928],"study_design_scores_gemma":[0.00030279852,0.00017854419,0.18338585,0.000085624546,0.000033702676,0.0000151739605,0.00023929511,0.799825,0.009534002,0.00619859,0.000017941293,0.00018347143],"about_ca_topic_score_codex":0.0002712102,"about_ca_topic_score_gemma":0.0003019223,"teacher_disagreement_score":0.6332945,"about_ca_system_score_codex":0.000056672157,"about_ca_system_score_gemma":0.000042232285,"threshold_uncertainty_score":0.55527526},"labels":[],"label_agreement":null},{"id":"W4394704355","doi":"10.1093/forestscience/51.5.425","title":"A New Simulator for the Spread of Forest Root Diseases by Individual Root Contacts","year":2005,"lang":"en","type":"article","venue":"Forest Science","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological 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":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Root (linguistics); Environmental science; Forestry; Biology; Geography","score_opus":0.014783246063282976,"score_gpt":0.23765071642423732,"score_spread":0.22286747036095433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394704355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99563545,0.0017062309,0.00024945935,0.0010120806,0.00007919193,0.00036731834,0.0008684076,0.000022803233,0.00005907417],"genre_scores_gemma":[0.9992079,0.000021726166,0.000092677576,0.00015105016,0.00023936604,0.00001698638,0.000057978436,9.0192395e-7,0.00021137523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986692,0.000011460393,0.0001825593,0.00027619195,0.00047107966,0.0003895038],"domain_scores_gemma":[0.9990232,0.0004432024,0.00010210306,0.00009993786,0.00007713987,0.00025440645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018327718,0.00012180134,0.00013635364,0.000012503802,0.00034472026,0.00010572603,0.0007842586,0.0000376742,0.000041487187],"category_scores_gemma":[0.0001645013,0.00004145612,0.00009179759,0.00037879407,0.0002630588,0.00021178095,0.00008646677,0.00004197604,0.000009512156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041173762,0.0004924527,0.72981334,0.000035644716,0.00006202545,0.0000037375628,0.00021451066,0.023280045,0.052655514,0.010688659,0.06705849,0.11528386],"study_design_scores_gemma":[0.00027174433,0.00022730096,0.9488296,0.000028817893,0.00004947576,0.000001349898,0.00007585746,0.002750829,0.0022219373,0.0021676163,0.04319334,0.0001821533],"about_ca_topic_score_codex":0.00014309581,"about_ca_topic_score_gemma":0.008984757,"teacher_disagreement_score":0.21901625,"about_ca_system_score_codex":0.000017697632,"about_ca_system_score_gemma":0.00009450659,"threshold_uncertainty_score":0.5013705},"labels":[],"label_agreement":null},{"id":"W4394704367","doi":"10.1093/forestscience/52.4.468","title":"Regional Stem Profile Model for Cross-Border Comparisons of Harvested Red Pine (<i>Pinus resinosa</i> Ait.) in Ontario and Michigan","year":2006,"lang":"en","type":"article","venue":"Forest Science","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":true,"ca_institutions":"Ontario Forest Research Institute","funders":"","keywords":"Red pine; Pinus <genus>; Forestry; Environmental science; Geography; Botany; Biology","score_opus":0.017097349634848408,"score_gpt":0.27644464989860473,"score_spread":0.2593473002637563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394704367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98515785,0.00001523689,0.009833254,0.00027898248,0.00007123899,0.00060775474,0.000010450088,0.000018906892,0.0040063164],"genre_scores_gemma":[0.9831272,0.0000019061351,0.0075197536,0.00011262809,0.000006686223,0.00006580479,0.000013522776,0.000007021063,0.009145504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985257,0.00001362075,0.0003088955,0.00046051462,0.00028683041,0.00040446542],"domain_scores_gemma":[0.9994859,0.00003442543,0.00012973681,0.00025251543,0.000026305886,0.0000711057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004883079,0.00012751552,0.00017729244,0.000093436436,0.00024639838,0.000040306557,0.00032528685,0.000058006317,0.00010681886],"category_scores_gemma":[0.000019946172,0.00011856713,0.000027416196,0.00039410847,0.001594433,0.0004441922,0.0002470158,0.00010358941,0.000010904995],"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":[0.00011632318,0.00022674135,0.7181352,0.000015976771,0.000002890103,0.0000031652478,0.00034564338,0.22559041,0.001635045,0.04890709,0.0049519036,0.00006962473],"study_design_scores_gemma":[0.0006770163,0.00009757071,0.84683,0.00001359362,0.000005234872,0.0000037476289,0.00002281588,0.1391361,0.00025084135,0.0090565635,0.0037748315,0.00013168977],"about_ca_topic_score_codex":0.015102006,"about_ca_topic_score_gemma":0.6915913,"teacher_disagreement_score":0.67648935,"about_ca_system_score_codex":0.00015123375,"about_ca_system_score_gemma":0.00010711997,"threshold_uncertainty_score":0.9914565},"labels":[],"label_agreement":null},{"id":"W4394704369","doi":"10.1093/forestscience/47.1.117","title":"Reply: Influence of Vertical Foliage Structure on the Distribution of Stem Cross-Sectional Area Increment in Western Hemlock and Balsam Fir [For. Sci. 46(1):86–94]","year":2001,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Balsam; Abies balsamea; Western Hemlock; Forestry; Environmental science; Geography; Biology; Botany","score_opus":0.012836214505828154,"score_gpt":0.24986990848595425,"score_spread":0.2370336939801261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394704369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99826306,0.00000621687,0.0008275736,0.00024644623,0.00007775498,0.0003996731,0.000029037476,0.000007668712,0.00014257556],"genre_scores_gemma":[0.9996082,0.000007374187,0.000047962894,0.00022266222,0.000007441929,0.0000270105,0.000005404501,0.0000033106055,0.00007061501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985406,0.000027810323,0.00029339036,0.00036765944,0.00046139906,0.00030915337],"domain_scores_gemma":[0.9993884,0.00013313032,0.00009233732,0.00029246,0.000028298764,0.000065378044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088326103,0.00010656386,0.00012261524,0.00004578609,0.00023124371,0.0000304798,0.00042469328,0.000050549876,0.00007140882],"category_scores_gemma":[0.00017861935,0.00007598459,0.000027627482,0.00044920854,0.0017772603,0.00028703467,0.0003206299,0.00009991012,0.000007297301],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007326018,0.0000542068,0.9129244,0.000009424681,0.0000025200368,0.0000017476435,0.00004664886,0.055936724,0.0015995422,0.029235885,0.000075260774,0.000040359493],"study_design_scores_gemma":[0.00027094583,0.000213989,0.98216677,0.000022504846,0.0000036314832,0.0000053215485,0.000022194681,0.0042672576,0.0013851674,0.011248202,0.0003163712,0.00007766551],"about_ca_topic_score_codex":0.00021876853,"about_ca_topic_score_gemma":0.00068987376,"teacher_disagreement_score":0.06924233,"about_ca_system_score_codex":0.00017627575,"about_ca_system_score_gemma":0.000028412573,"threshold_uncertainty_score":0.654839},"labels":[],"label_agreement":null},{"id":"W4394707686","doi":"10.1093/forestscience/49.5.799","title":"Growth Responses of <i>Abies amabilis</i> Advance Regeneration to Overstory Removal, Nitrogen Fertilization and Release From <i>Vaccinium</i> Competition","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Flowering Plant Growth and Cultivation","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 Victoria","funders":"","keywords":"Human fertilization; Vaccinium; Competition (biology); Nitrogen; Biology; Natural regeneration; Botany; Environmental science; Agronomy; Ecology; Chemistry","score_opus":0.00949361834503947,"score_gpt":0.1971873919340493,"score_spread":0.18769377358900982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394707686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985791,0.00013060446,0.00047826112,0.00024238459,0.00012088981,0.00016871418,0.000046841884,0.000035100085,0.00019813397],"genre_scores_gemma":[0.9982551,0.000045885736,0.0013626909,0.00021005879,0.000034026678,0.000008887086,0.000048738282,9.000959e-7,0.000033739016],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989713,0.000065835135,0.00018415017,0.0003210247,0.0002866239,0.00017111194],"domain_scores_gemma":[0.9994073,0.00015169791,0.00009043759,0.000068607274,0.0001748809,0.00010707146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028503145,0.00009531986,0.000103209284,0.000031655105,0.00026858182,0.000050607407,0.00013899036,0.000040527768,0.000024078983],"category_scores_gemma":[0.0008854587,0.000048781512,0.000022406863,0.0006048279,0.00014255515,0.00043724573,0.00003049965,0.000041407216,0.0000058899827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011693214,0.000031015712,0.045631163,0.0000051963466,0.000001102067,0.0000011499511,0.000094738425,0.00036209452,0.9398876,0.013183675,0.00012377917,0.0005615818],"study_design_scores_gemma":[0.00034930694,0.0005119075,0.377465,0.00012362382,0.000014317404,0.000018786715,0.0004946863,0.001226332,0.59494686,0.020039951,0.0044142962,0.00039490164],"about_ca_topic_score_codex":0.00020044473,"about_ca_topic_score_gemma":0.0006434184,"teacher_disagreement_score":0.3449407,"about_ca_system_score_codex":0.000033075292,"about_ca_system_score_gemma":0.000028816346,"threshold_uncertainty_score":0.20657413},"labels":[],"label_agreement":null},{"id":"W4403966559","doi":"10.1093/forsci/fxae025","title":"Precommercial Thinning but Not Commercial Thinning Increases the Merchantable and Large Sawlog Volume Production of Lodgepole Pine on Fair Sites","year":2024,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Forest Resource Improvement Association of Alberta","keywords":"Thinning; Forestry; Environmental science; Production (economics); Pinus contorta; Volume (thermodynamics); Mathematics; Agroforestry; Geography; Economics; Physics","score_opus":0.012593959883958086,"score_gpt":0.24668091989103186,"score_spread":0.23408696000707377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403966559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99234146,0.00009002533,0.0014126679,0.0026980524,0.0006563161,0.00034948456,0.000010318112,0.000078649304,0.0023630494],"genre_scores_gemma":[0.99776745,0.000024503872,0.00033341016,0.00048402467,0.00010407319,0.000026335121,0.0000053281833,0.000009850739,0.0012450097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99843556,0.000057356334,0.00020509242,0.0004792226,0.00041453485,0.0004082248],"domain_scores_gemma":[0.99947363,0.00009449682,0.00007271013,0.0002761046,0.00001404685,0.000069007394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017010518,0.00014115316,0.00014021057,0.00010153109,0.00084524596,0.00009702568,0.00044215348,0.000046428726,0.00027381425],"category_scores_gemma":[0.00029170548,0.00009889091,0.000036287645,0.0006112954,0.0013942044,0.00065233273,0.00067698536,0.00021210145,0.00015109911],"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":[0.00029418923,0.0008049923,0.40707564,0.00022423021,0.000067360415,0.00004318098,0.009019074,0.034332804,0.021175286,0.4452989,0.069424964,0.012239358],"study_design_scores_gemma":[0.00025131254,0.00047316798,0.91874415,0.0001358267,0.000052604883,0.000025123618,0.0004907615,0.045699824,0.0049972543,0.013736791,0.015074726,0.00031843697],"about_ca_topic_score_codex":0.0010906942,"about_ca_topic_score_gemma":0.0019198083,"teacher_disagreement_score":0.5116685,"about_ca_system_score_codex":0.00009206214,"about_ca_system_score_gemma":0.00003523446,"threshold_uncertainty_score":0.6501034},"labels":[],"label_agreement":null},{"id":"W4413188728","doi":"10.1007/s44391-025-00042-8","title":"Foliar Nutrition of Western Hemlock with Stem Sinuosity","year":2025,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Sinuosity; Western Hemlock; Biology; Geography; Environmental science; Forestry; Agroforestry; Geology","score_opus":0.004393044042560525,"score_gpt":0.20861386009710373,"score_spread":0.2042208160545432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413188728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600125,0.000011461208,0.025202734,0.00030837132,0.000119388555,0.0002915821,0.0000015981892,0.000026433034,0.014025944],"genre_scores_gemma":[0.9968002,0.000004467874,0.0006832237,0.00017769782,0.0000042656247,0.000021425843,5.42112e-7,0.0000021159585,0.0023060865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991458,0.000012404668,0.00011305428,0.00026122885,0.00024703023,0.0002204974],"domain_scores_gemma":[0.9996241,0.000018775856,0.00005440618,0.0002444863,0.0000130955905,0.00004519031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000276517,0.000070417154,0.000089589426,0.00006745007,0.00018733279,0.000016929587,0.0004011447,0.000026632324,0.000073205236],"category_scores_gemma":[0.000009988834,0.000056261986,0.000017543174,0.00069920596,0.0010950955,0.00029110967,0.00026883982,0.000049889804,0.000100370075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048111597,0.00026734517,0.73333234,0.00004073325,0.000006311117,0.0000069566995,0.00011389945,0.0074214735,0.0008395916,0.25610524,0.0013303085,0.00048766553],"study_design_scores_gemma":[0.00046388642,0.00023170604,0.9483456,0.00007137812,0.000016281045,0.0000033741208,0.00007783535,0.0014100958,0.0051422776,0.041326698,0.0027880718,0.0001227773],"about_ca_topic_score_codex":0.00012651419,"about_ca_topic_score_gemma":0.0012728292,"teacher_disagreement_score":0.21501327,"about_ca_system_score_codex":0.0001007648,"about_ca_system_score_gemma":0.00002698865,"threshold_uncertainty_score":0.4034925},"labels":[],"label_agreement":null},{"id":"W7128489514","doi":"10.1007/s44391-025-00044-6","title":"Evaluating Local Calibration Methods for Improving Diameter Growth Predictions in the Southern Variant, Forest Vegetation Simulator (FVS-Sn)","year":2025,"lang":"en","type":"article","venue":"Forest Science","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 Alberta","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Calibration; Diameter at breast height; Forest inventory; Regression analysis; Linear regression; Equivalence (formal languages); Vegetation (pathology); Tree (set theory)","score_opus":0.0192958903346656,"score_gpt":0.3332704533006164,"score_spread":0.3139745629659508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128489514","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.083944365,0.000010975294,0.91318935,0.00037595397,0.00033696133,0.0010680406,0.0000027943627,0.000032544813,0.0010390342],"genre_scores_gemma":[0.96249104,6.477013e-7,0.03628276,0.0005388696,0.000024695799,0.0004785877,0.000005887452,0.000006528679,0.0001709756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998476,0.00016259232,0.00027230853,0.00044119798,0.00027826236,0.0003695934],"domain_scores_gemma":[0.99907255,0.00048125559,0.000098241166,0.00027996898,0.000025339661,0.00004265018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037554798,0.00011783149,0.00010123658,0.00013410141,0.0006459325,0.000104950945,0.00055076595,0.000055070766,0.00002863134],"category_scores_gemma":[0.0009215707,0.000087632616,0.000047307323,0.000946656,0.00068471767,0.00060782064,0.00021482515,0.000121317586,0.000024123925],"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":[0.000023438592,0.00008001513,0.026174435,0.000030353962,0.000005063311,0.0000011562909,0.0011794037,0.8022397,0.0006372587,0.16008866,0.00008165826,0.0094588455],"study_design_scores_gemma":[0.00025917386,0.00010135057,0.09641532,0.000011177525,0.0000225105,9.4448666e-7,0.00021696974,0.7758091,0.00007041028,0.12695594,0.00006154297,0.00007557165],"about_ca_topic_score_codex":0.0005590746,"about_ca_topic_score_gemma":0.0040645595,"teacher_disagreement_score":0.87854666,"about_ca_system_score_codex":0.00020702666,"about_ca_system_score_gemma":0.000076869575,"threshold_uncertainty_score":0.49680558},"labels":[],"label_agreement":null},{"id":"W72551645","doi":"10.1093/forestscience/57.4.281","title":"The Effects of Road Quality and Other Factors on Water-Based Recreation Demand in Northern Ontario, Canada","year":2011,"lang":"en","type":"article","venue":"Forest Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"Ministry of Natural Resources","keywords":"Recreation; Water quality; Quality (philosophy); Geography; Environmental science; Agricultural economics; Environmental protection; Economics; Ecology","score_opus":0.03247721747573818,"score_gpt":0.27855192871596374,"score_spread":0.24607471124022556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W72551645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778926,0.000011250463,0.000018230698,0.000041330502,0.00013554051,0.00017453647,0.0000012161821,0.0000054192988,0.0018232198],"genre_scores_gemma":[0.999866,5.428902e-7,0.0000092934515,0.00002794023,0.000005805728,0.000004266019,5.47685e-7,0.0000017581783,0.00008381845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906224,0.000067866735,0.00014093293,0.000166035,0.00035124304,0.0002116703],"domain_scores_gemma":[0.9995758,0.00012634076,0.00005548439,0.0001356404,0.00004109542,0.00006563617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010319575,0.00005467227,0.00007740928,0.000026687563,0.00040098638,0.000024490515,0.00024904657,0.000024091065,0.000016943124],"category_scores_gemma":[0.00015110159,0.000030093843,0.00001391482,0.00016433795,0.00072712864,0.00012929399,0.000009141954,0.000054031127,3.821122e-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":[0.000015288517,0.000021406404,0.9909172,0.0000054916345,6.9798386e-7,4.7486324e-7,0.007949873,0.0000096104495,0.00010481114,0.000792902,0.00000132769,0.00018091098],"study_design_scores_gemma":[0.00009185327,0.000031692703,0.9942586,0.000016674378,0.0000018543292,4.6241837e-9,0.00026011033,0.000008493877,0.0037805752,0.0013907448,0.00011165737,0.000047738442],"about_ca_topic_score_codex":0.99444604,"about_ca_topic_score_gemma":0.99994737,"teacher_disagreement_score":0.007689762,"about_ca_system_score_codex":0.00018171045,"about_ca_system_score_gemma":0.0007487841,"threshold_uncertainty_score":0.30841035},"labels":[],"label_agreement":null},{"id":"W88297605","doi":"10.1093/forestscience/46.3.344","title":"Perceived Ecological Risks to Water Environments from Selected Forest Industry Activities","year":2000,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","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":"Vancouver Community College","funders":"","keywords":"Logging; Risk perception; Perception; Water quality; Business; Environmental resource management; Environmental planning; Geography; Ecology; Environmental science; Psychology; Forestry; Biology","score_opus":0.017003213209150797,"score_gpt":0.24737342041050167,"score_spread":0.23037020720135087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W88297605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970987,0.0000014881601,0.000030230569,0.0004064294,0.00010483396,0.00032298375,0.000013017575,0.00006888243,0.028065084],"genre_scores_gemma":[0.98094046,0.000007400256,0.00041572645,0.00080517645,0.00009265349,0.000048445712,0.00001899644,0.000014973073,0.017656162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974837,0.00004447526,0.00020560331,0.00068286376,0.00068132946,0.00090206676],"domain_scores_gemma":[0.9991317,0.000037531783,0.000033038963,0.00043729998,0.000003479497,0.00035694792],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002545987,0.00023361006,0.00016571893,0.00009059896,0.0005368293,0.00015276953,0.0009898134,0.00015540018,0.051433686],"category_scores_gemma":[0.000042320287,0.00016906593,0.00004521309,0.0006092679,0.0010751314,0.0007369252,0.0005022505,0.00030294489,0.019920968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008135418,0.00031993262,0.79783934,0.0000021253945,0.000013454339,0.000030973955,0.0021435127,0.15694539,0.025353702,0.00027743724,0.011960154,0.005032622],"study_design_scores_gemma":[0.00022011998,0.00014886775,0.9584284,0.0000064206197,0.000010009664,0.000002052568,0.000028937067,0.0043052,0.0008035611,0.000939427,0.03481653,0.0002904605],"about_ca_topic_score_codex":0.0025227703,"about_ca_topic_score_gemma":0.0010396687,"teacher_disagreement_score":0.16058907,"about_ca_system_score_codex":0.00027359597,"about_ca_system_score_gemma":0.000017464237,"threshold_uncertainty_score":0.9808421},"labels":[],"label_agreement":null},{"id":"W958137264","doi":"10.1093/forestscience/55.3.230","title":"Approaches for Modeling Vertical Distribution of Maximum Knot Size in Black Spruce: A Comparison of Fixed- and Mixed-Effects Nonlinear Models","year":2009,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"FPInnovations; Ministry of Natural Resources","keywords":"Knot (papermaking); Mathematics; Nonlinear system; Black spruce; Physics; Biology; Ecology; Engineering; Pulp and paper industry","score_opus":0.026715048330125436,"score_gpt":0.25975156313223097,"score_spread":0.23303651480210552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W958137264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82607406,0.000017351927,0.17320071,0.00009181516,0.00003469175,0.0003700777,0.0000045264055,0.000007032618,0.00019971239],"genre_scores_gemma":[0.9954388,0.0000040938644,0.004501134,0.000022023101,0.0000055318687,0.00001354691,0.0000053098643,0.000002860903,0.000006703308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988836,0.00001817305,0.00026186326,0.00030347257,0.00024062129,0.0002922531],"domain_scores_gemma":[0.99960554,0.000095650685,0.000053713025,0.00016548928,0.00001203949,0.000067546796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051649945,0.00009454378,0.00019581878,0.000037452908,0.00008241304,0.000010499805,0.00025383622,0.000055133984,0.0000041840553],"category_scores_gemma":[0.00019835263,0.00008474825,0.000031343297,0.0003195521,0.0008549472,0.00029106505,0.00014888667,0.00006821747,0.0000029747146],"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":[0.00006316703,0.00028540508,0.017179964,0.000037703594,0.0000017830313,5.814053e-7,0.00028773714,0.9073032,0.0005404232,0.07318039,0.0000338167,0.0010857928],"study_design_scores_gemma":[0.00031638486,0.00025949924,0.10434874,0.000019611643,0.000008369302,3.8406577e-7,0.000059110185,0.79806036,0.0016596119,0.095193446,0.0000035535966,0.00007095332],"about_ca_topic_score_codex":0.000069911344,"about_ca_topic_score_gemma":0.00017758521,"teacher_disagreement_score":0.1693647,"about_ca_system_score_codex":0.00007254374,"about_ca_system_score_gemma":0.000016485148,"threshold_uncertainty_score":0.34559336},"labels":[],"label_agreement":null},{"id":"W962295867","doi":"10.1093/forestscience/55.5.423","title":"Motivations and Land-Use Intentions of Nonindustrial Private Forest Landowners: Comparing Inheritors to Noninheritors","year":2009,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry","funders":"U.S. Forest Service; Auburn University","keywords":"Woodland; Recreation; Business; Context (archaeology); Value (mathematics); Natural resource economics; Environmental resource management; Geography; Economics; Ecology","score_opus":0.029402201822860404,"score_gpt":0.26103789319202014,"score_spread":0.23163569136915974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W962295867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941247,0.0000022671024,0.00065470964,0.00039822896,0.0001913308,0.00030309113,0.000004635327,0.0000401558,0.004280852],"genre_scores_gemma":[0.99760365,0.0000036766126,0.0016911548,0.00011275498,0.00007769678,0.000008530594,0.0000039986876,0.00000618889,0.00049237115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986161,0.000016224849,0.00023740523,0.00031326697,0.0004565732,0.000360423],"domain_scores_gemma":[0.999387,0.00003569589,0.00008839008,0.00026736574,0.000019427525,0.00020212463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003120905,0.00013003005,0.00015162872,0.00017487374,0.00028103162,0.00014993653,0.00043115809,0.00003918843,0.00007464781],"category_scores_gemma":[0.00024097637,0.000111259855,0.000035713074,0.0011206344,0.0005715856,0.0008467762,0.0003045524,0.00009840879,0.00008852933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017001357,0.0000510189,0.96278393,0.000002057725,0.000002543677,0.0000012287264,0.0002850952,0.025885433,0.0014296325,0.007723654,0.0014344496,0.0003839419],"study_design_scores_gemma":[0.00036682206,0.00016562988,0.9860556,0.000037149603,0.000009429902,0.0000022239242,0.000018225399,0.007690896,0.00014239873,0.00077671715,0.004576648,0.00015823983],"about_ca_topic_score_codex":0.0012287741,"about_ca_topic_score_gemma":0.0011620285,"teacher_disagreement_score":0.023271678,"about_ca_system_score_codex":0.00007350507,"about_ca_system_score_gemma":0.000022103879,"threshold_uncertainty_score":0.4537045},"labels":[],"label_agreement":null},{"id":"W990589","doi":"10.1093/forestscience/54.3.284","title":"Bivariate Distribution Modeling of Tree Diameters and Heights: Dependency Modeling Using Copulas","year":2008,"lang":"en","type":"article","venue":"Forest Science","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":"Canadian Forest Service","funders":"Division of Mathematical Sciences; University of Greenwich","keywords":"Bivariate analysis; Copula (linguistics); Dependency (UML); Econometrics; Tree (set theory); Statistics; Mathematics; Environmental science; Computer science; Artificial intelligence","score_opus":0.026951877701281372,"score_gpt":0.22977127711930137,"score_spread":0.20281939941802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W990589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62014943,0.000015791182,0.37931287,0.000016875592,0.000075423064,0.00009061502,0.000002573523,0.000012725919,0.00032369338],"genre_scores_gemma":[0.9951475,0.000035124798,0.0047496413,0.00002466556,0.000008578334,0.0000044996123,0.0000035217984,0.0000049989226,0.000021457936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987569,0.000018300265,0.00021444171,0.0003544312,0.00033553934,0.00032038765],"domain_scores_gemma":[0.9996019,0.000014429329,0.00006937389,0.00020323125,0.000014964004,0.00009612652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040319018,0.000103241495,0.00011998836,0.000058267662,0.0005016346,0.000015404481,0.00028367847,0.000040673607,0.000036781596],"category_scores_gemma":[0.000067284396,0.00009112712,0.00002821983,0.0004018015,0.0008070178,0.0006032335,0.00032592288,0.00006895747,0.000015790734],"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":[0.00000865557,0.00002842162,0.023591975,0.0000041714707,0.0000023735477,0.000005900719,0.00017720518,0.9607207,0.00076718704,0.0146086095,0.000006835867,0.00007796092],"study_design_scores_gemma":[0.00015061606,0.000043821557,0.0075886277,0.000011636514,0.000010129532,0.00001631413,0.00003625412,0.96215785,0.00011726129,0.029757764,0.0000042837128,0.00010544593],"about_ca_topic_score_codex":0.001108773,"about_ca_topic_score_gemma":0.00035929965,"teacher_disagreement_score":0.37499806,"about_ca_system_score_codex":0.00013303944,"about_ca_system_score_gemma":0.000028961313,"threshold_uncertainty_score":0.38582188},"labels":[],"label_agreement":null}]}