{"meta":{"query_hash":"f38352349141","filters":{"venue":"Geography and sustainability"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/f38352349141","api":"https://metacan.xera.ac/api/v1/cohort?venue=Geography+and+sustainability"},"results":[{"id":"W3022785822","doi":"10.1016/j.geosus.2020.04.001","title":"A review of spatial targeting methods of payment for ecosystem services","year":2020,"lang":"en","type":"review","venue":"Geography and sustainability","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Ecosystem services; Payment; Equity (law); Computer science; Environmental resource management; Environmental economics; Ecosystem; Environmental science; Ecology; Economics","score_opus":0.013565035666758646,"score_gpt":0.29822109651643774,"score_spread":0.2846560608496791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022785822","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037031787,0.99510163,0.0011314211,0.0007979574,0.00020658011,0.000064378604,0.00014764711,0.0000130774615,0.0021669571],"genre_scores_gemma":[0.004748858,0.99204576,0.0020665596,0.0005168481,0.00013783293,0.00013335269,0.00010270291,0.000009468128,0.00023867986],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9913311,0.0033280293,0.0022883574,0.0007009402,0.0021949667,0.00015652624],"domain_scores_gemma":[0.951614,0.040620606,0.0037532235,0.00067010254,0.0031118563,0.00023023313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009843994,0.0012271368,0.0022328778,0.01337481,0.0007249639,0.0029617234,0.0018488615,0.0020437827,0.007436425],"category_scores_gemma":[0.03853535,0.0006971522,0.0033419793,0.01616567,0.0011699531,0.0037345046,0.0014146051,0.001265011,0.00087734207],"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":[0.00011960717,0.00005605474,0.0006005677,0.38948056,0.0009442096,0.00011441253,0.0004240151,0.0008384421,0.00028878526,0.013008395,0.011184402,0.5829406],"study_design_scores_gemma":[0.00006991334,0.00020516421,0.0049703494,0.5529842,0.004068802,0.00068464555,0.00047812602,0.00055068196,0.0004816628,0.0067531085,0.42868656,0.00006676625],"about_ca_topic_score_codex":0.0059201713,"about_ca_topic_score_gemma":0.009050088,"teacher_disagreement_score":0.01337481,"about_ca_system_score_codex":0.0038817949,"about_ca_system_score_gemma":0.009857658,"threshold_uncertainty_score":0.052060604},"labels":[],"label_agreement":null},{"id":"W4281862163","doi":"10.1016/j.geosus.2022.05.004","title":"Geographically evaluating urban-wildland juxtapositions across 36 urban areas in the United States","year":2022,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reinterpretation; Metric (unit); Geography; Economic geography; Metropolitan area; Regional science; Business","score_opus":0.007827872556524252,"score_gpt":0.2542306380364754,"score_spread":0.24640276547995113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281862163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99820614,0.00003722518,0.00038049862,0.000015596483,8.8290096e-7,0.0000143964235,0.00042683212,0.0000084618405,0.0009099215],"genre_scores_gemma":[0.9982444,0.000038053407,0.0010508891,0.000004047441,0.0000010820751,0.000019872714,0.0004994478,0.0000026574362,0.00013959159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994966,0.0001917967,0.000059076618,0.000092890856,0.000111639565,0.0000479527],"domain_scores_gemma":[0.9983205,0.0005891604,0.000494326,0.0001344289,0.0003307129,0.0001307448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078438746,0.00019454824,0.0001996857,0.0025136408,0.0006311243,0.00082796987,0.00027629038,0.00019092583,0.0008711901],"category_scores_gemma":[0.0034714276,0.00012673909,0.00019866307,0.0040980875,0.0006413296,0.00059603644,0.0017221686,0.0001582816,0.00012396208],"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":[0.00011339988,0.000068439935,0.9624786,0.000043647728,0.00006222945,0.00008124971,0.00287501,0.004875043,0.0005032668,0.0012729426,0.00064564304,0.026980584],"study_design_scores_gemma":[0.0000072800817,0.00008968058,0.9785195,0.000018967055,0.00003239153,0.00008015589,0.011272155,0.006618648,0.0005790948,0.0009494239,0.0018136763,0.000019082903],"about_ca_topic_score_codex":0.051593516,"about_ca_topic_score_gemma":0.13955952,"teacher_disagreement_score":0.051593516,"about_ca_system_score_codex":0.0007212054,"about_ca_system_score_gemma":0.00048019862,"threshold_uncertainty_score":0.10258639},"labels":[],"label_agreement":null},{"id":"W4323349412","doi":"10.1016/j.geosus.2023.02.002","title":"(Re)assessing Climate-Smart Agriculture practices for sustainable food systems outcomes in sub-Saharan Africa: The case of Bono East Region, Ghana","year":2023,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Brantford Energy (Canada)","funders":"Canada First Research Excellence Fund; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Agriculture; Sustainable agriculture; Food security; Geography; Food systems; Political science; Agroforestry; Environmental planning; Economic growth; Business; Environmental science; Economics","score_opus":0.04255721245113021,"score_gpt":0.2772120673716564,"score_spread":0.23465485492052618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323349412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927255,0.0007139736,0.00026292924,0.0011830728,0.000013076652,0.00006897641,0.00014991334,0.0000026466084,0.0048799203],"genre_scores_gemma":[0.99869233,0.00036293417,0.0003928517,0.000113353075,0.000003892187,0.00003147227,0.000029969222,0.0000016132368,0.0003714068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949527,0.00027998138,0.000026027325,0.000037573114,0.00004339694,0.00011785761],"domain_scores_gemma":[0.99845994,0.0006569369,0.00046107633,0.000047204485,0.00019357364,0.00018132989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017324565,0.000254872,0.00014173561,0.00080632255,0.0010429969,0.0014742763,0.000260926,0.0004522986,0.003646283],"category_scores_gemma":[0.0027154011,0.00012502179,0.0002557137,0.0014960977,0.0010119294,0.0016211786,0.00092586776,0.0006041025,0.0001863908],"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":[0.00012735883,0.00024153297,0.6375584,0.0017419902,0.0000955271,0.0070866975,0.26018608,0.0006267482,0.003309597,0.006580422,0.003383963,0.07906177],"study_design_scores_gemma":[0.000015950338,0.00016991171,0.46640408,0.0010505785,0.00007205962,0.00077088777,0.51134294,0.00051981205,0.0004733306,0.0014395467,0.01772269,0.000018207173],"about_ca_topic_score_codex":0.037456244,"about_ca_topic_score_gemma":0.0699504,"teacher_disagreement_score":0.037456244,"about_ca_system_score_codex":0.0023789157,"about_ca_system_score_gemma":0.001929167,"threshold_uncertainty_score":0.07447642},"labels":[],"label_agreement":null},{"id":"W4386572346","doi":"10.1016/j.geosus.2023.08.001","title":"Spatial pattern of urban-rural integration in China and the impact of geography","year":2023,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":43,"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 Victoria","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Geography; China; Economic geography; Urban geography; Human geography; Regional science; Urban planning; Archaeology; Civil engineering; Engineering","score_opus":0.004517990538846066,"score_gpt":0.2187580499991133,"score_spread":0.21424005946026722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386572346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984762,0.00017182909,0.00016785826,0.000088603265,0.0000020366401,0.000007608761,0.00027919488,0.000007754458,0.0007988634],"genre_scores_gemma":[0.99951684,0.000048792102,0.000079308425,0.0000051412226,0.0000013170273,0.000003895029,0.00020320971,9.95522e-7,0.00014047831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934274,0.00015820365,0.000056574157,0.00017349591,0.000119752876,0.00014920537],"domain_scores_gemma":[0.9984682,0.00028162508,0.0005404175,0.00016656081,0.00031303897,0.0002301821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078153884,0.00020266419,0.0003163383,0.0020574108,0.0005325043,0.00073704886,0.00041583693,0.00013513379,0.0014606216],"category_scores_gemma":[0.0018012192,0.00016447534,0.0004623091,0.0043144603,0.0006673542,0.00044693844,0.001096601,0.00019081772,0.0001302095],"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":[0.000018053912,0.000012538886,0.99350727,0.000018794059,0.000052521675,0.000079397374,0.00048581118,0.0007043055,0.00016989729,0.0007167485,0.00016401359,0.004070666],"study_design_scores_gemma":[0.0000017347676,0.000011052169,0.9973865,0.000008119608,0.000016438562,0.0000236816,0.00056235696,0.0014128434,0.00003225206,0.00015551869,0.0003840854,0.000005453883],"about_ca_topic_score_codex":0.086528905,"about_ca_topic_score_gemma":0.11810903,"teacher_disagreement_score":0.086528905,"about_ca_system_score_codex":0.0013196423,"about_ca_system_score_gemma":0.0014476465,"threshold_uncertainty_score":0.17205048},"labels":[],"label_agreement":null},{"id":"W4391318980","doi":"10.1016/j.geosus.2024.01.004","title":"Climate change drives flooding risk increases in the Yellow River Basin","year":2024,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Flooding (psychology); Flood myth; Climate change; Period (music); Drainage basin; Environmental science; Structural basin; Climatology; Return period; Geography; Physical geography; Hydrology (agriculture); Geology; Oceanography; Cartography; Archaeology","score_opus":0.005601180414506685,"score_gpt":0.23130286482459603,"score_spread":0.22570168441008934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391318980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825746,0.00009695142,0.00011427113,0.0002322231,0.000003487508,0.0000032218759,0.00026885018,0.000007629878,0.001016054],"genre_scores_gemma":[0.9994899,0.000084511485,0.00006272848,0.000017999198,0.000004984782,0.0000034876002,0.00014855218,0.0000023712255,0.00018533709],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988854,0.00002663272,0.000012116309,0.000030498943,0.000019117739,0.000023038085],"domain_scores_gemma":[0.999637,0.000050572624,0.0001730634,0.000024140509,0.000055116394,0.00006004422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030562154,0.00010086605,0.00012479561,0.0006651214,0.00040124936,0.000669614,0.00013569288,0.0002499605,0.0011156071],"category_scores_gemma":[0.0010198229,0.000119790544,0.00020650378,0.00081245025,0.00034101142,0.00040916394,0.00071827206,0.00028506888,0.00009297077],"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":[0.000021995736,0.000016580198,0.9920258,0.000012979637,0.000031619205,0.00011007406,0.00053845556,0.0010892039,0.00096379104,0.0004097227,0.00046623117,0.004313686],"study_design_scores_gemma":[0.0000020014647,0.0000066043394,0.997288,0.0000053954373,0.0000061686505,0.000028885575,0.00032410483,0.0012492101,0.00007178811,0.00032571514,0.0006868137,0.000005301015],"about_ca_topic_score_codex":0.022568582,"about_ca_topic_score_gemma":0.031648338,"teacher_disagreement_score":0.022568582,"about_ca_system_score_codex":0.0006476411,"about_ca_system_score_gemma":0.00063245744,"threshold_uncertainty_score":0.04487443},"labels":[],"label_agreement":null},{"id":"W4402679669","doi":"10.1016/j.geosus.2024.08.011","title":"Impacts of government attention on achieving Sustainable Development Goals: Evidence from China","year":2024,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Science and Technology Program of Guizhou Province; Guizhou Science and Technology Department; Natural Science Research Project of Guizhou Provincial Education Office; Young Scientists Fund; Natural Science Foundation of Guizhou Province; National Natural Science Foundation of China","keywords":"China; Government (linguistics); Sustainable development; Business; Political science","score_opus":0.01000267006383708,"score_gpt":0.20683320224340565,"score_spread":0.19683053217956858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402679669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932423,0.0010179922,0.00014142043,0.0006901795,0.00002088031,0.000029302053,0.00058340933,0.000013915349,0.0042605265],"genre_scores_gemma":[0.9979601,0.0008561537,0.000094946336,0.000109097826,0.000014240816,0.000020533389,0.00042489424,0.000004255755,0.00051574875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985966,0.00034505848,0.00014963855,0.00019521646,0.00046387236,0.00024955402],"domain_scores_gemma":[0.9934214,0.0018517482,0.0019573194,0.00033521952,0.001770654,0.0006636189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028658488,0.00048248188,0.00038455887,0.0026366347,0.0008236565,0.0012915038,0.0005685141,0.0003778846,0.0027702556],"category_scores_gemma":[0.0064269914,0.00023812607,0.0009376026,0.0040503214,0.0009240399,0.0013295036,0.001483473,0.0006455173,0.0002490026],"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":[0.00015254218,0.000281223,0.94413954,0.00087616534,0.00034903473,0.00045267417,0.0067904657,0.00069368776,0.0004977408,0.0015293935,0.002308956,0.04192857],"study_design_scores_gemma":[0.000009910065,0.000065684035,0.99456716,0.000091932074,0.00011544486,0.000017219889,0.002488251,0.0005290227,0.00016927191,0.00014844605,0.0017844847,0.000013215052],"about_ca_topic_score_codex":0.116046466,"about_ca_topic_score_gemma":0.1621161,"teacher_disagreement_score":0.116046466,"about_ca_system_score_codex":0.0029498055,"about_ca_system_score_gemma":0.0056977514,"threshold_uncertainty_score":0.23074198},"labels":[],"label_agreement":null},{"id":"W4405594766","doi":"10.1016/j.geosus.2024.100259","title":"Unveiling human impacts on global Key Biodiversity Areas: Assessing disturbance and fragmentation to inform conservation strategies","year":2024,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Natural Science Foundation of Hunan Province; Ministry of Education of the People's Republic of China; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Disturbance (geology); Fragmentation (computing); Biodiversity; Environmental resource management; Biodiversity conservation; Environmental planning; Key (lock); Geography; Ecology; Environmental science; Biology","score_opus":0.00873043804412226,"score_gpt":0.253582752700143,"score_spread":0.24485231465602075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405594766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92396253,0.0077146147,0.018259892,0.0028952162,0.00015820094,0.00025509082,0.016076958,0.00027048023,0.030406933],"genre_scores_gemma":[0.9888608,0.0017630977,0.0050537884,0.00021526172,0.000035656638,0.000057576075,0.0032063767,0.000018361572,0.0007891282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957603,0.00009967259,0.000033320575,0.0000687235,0.00012540192,0.00009679438],"domain_scores_gemma":[0.99815434,0.0002440626,0.00072949985,0.00015862854,0.00048462595,0.00022872917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009773527,0.000452582,0.0002905844,0.003005646,0.000425722,0.0014011086,0.00040593353,0.00028153975,0.004062973],"category_scores_gemma":[0.0027374614,0.00011798094,0.00043099135,0.004070116,0.0006252734,0.0022108299,0.0013956612,0.00045032648,0.00045712327],"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":[0.00004750988,0.000042553886,0.873639,0.00066268287,0.0002223326,0.00030097336,0.0014102244,0.004100591,0.0014809478,0.0014563007,0.0065357,0.110101245],"study_design_scores_gemma":[0.0000021777546,0.0000353834,0.9801365,0.00020019889,0.000051093604,0.00015871797,0.0041655474,0.0030718467,0.0002778625,0.0016222578,0.010253547,0.000024917757],"about_ca_topic_score_codex":0.04506582,"about_ca_topic_score_gemma":0.11901841,"teacher_disagreement_score":0.04506582,"about_ca_system_score_codex":0.00106849,"about_ca_system_score_gemma":0.0010900919,"threshold_uncertainty_score":0.089607},"labels":[],"label_agreement":null},{"id":"W4406226955","doi":"10.1016/j.geosus.2025.100263","title":"Governance on provision of ecosystem and its services in Nepal: Lessons from appraisal of policy, legislation, and institution","year":2025,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Home Affairs; National Natural Science Foundation of China; Chinese Academy of Sciences; Ministry of Arts, Culture and Status of Women","keywords":"Legislation; Institution; Corporate governance; Ecosystem services; Business; Environmental planning; Environmental resource management; Public administration; Ecosystem; Political science; Geography; Ecology; Finance; Economics","score_opus":0.004417788897724056,"score_gpt":0.23485465226224006,"score_spread":0.230436863364516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406226955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7420967,0.016071158,0.0032367837,0.04606769,0.000118044634,0.00032477605,0.00015167121,0.000021701888,0.19191144],"genre_scores_gemma":[0.9877416,0.007182817,0.0011453041,0.0011292094,0.000015413507,0.00007430862,0.00003673628,0.0000055165656,0.0026689842],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9977399,0.0010880162,0.00015628626,0.00016229918,0.0003893756,0.0004640374],"domain_scores_gemma":[0.9942761,0.0037660873,0.00067029736,0.00017576283,0.0008331745,0.00027863306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042864713,0.00020018347,0.00025957072,0.0019118257,0.0035427238,0.0067725987,0.0006187414,0.0009939844,0.0014428144],"category_scores_gemma":[0.00681651,0.00029824322,0.00018523034,0.0026686976,0.0068410328,0.0054786666,0.0040646307,0.0016183147,0.00010676481],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004882937,0.0001851991,0.06565308,0.0022403568,0.00004383491,0.0050026965,0.35959533,0.0015051075,0.0013804794,0.39143386,0.004952462,0.16795869],"study_design_scores_gemma":[0.000011031081,0.00012375491,0.17344409,0.006946701,0.000074101736,0.0010505934,0.54898906,0.0016582197,0.001307933,0.059203908,0.20711122,0.00007934944],"about_ca_topic_score_codex":0.034296907,"about_ca_topic_score_gemma":0.057522032,"teacher_disagreement_score":0.034296907,"about_ca_system_score_codex":0.01264374,"about_ca_system_score_gemma":0.019089218,"threshold_uncertainty_score":0.09173715},"labels":[],"label_agreement":null},{"id":"W4407739443","doi":"10.1016/j.geosus.2025.100280","title":"Evaluating the climate change robustness of Canadian protected area management plans","year":2025,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia; Wilfrid Laurier University","funders":"","keywords":"Robustness (evolution); Climate change; Environmental resource management; Environmental science; Environmental planning; Ecology; Biology","score_opus":0.018321505655264147,"score_gpt":0.25385007362288464,"score_spread":0.2355285679676205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407739443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793209,0.00021608258,0.0011043436,0.00034358527,0.000014895329,0.00040791061,0.0014464735,0.000044775377,0.017100876],"genre_scores_gemma":[0.99409133,0.0001736971,0.0033134683,0.000042041836,0.000005398894,0.0001142942,0.0015933772,0.000009007571,0.0006573102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98730195,0.0009848163,0.00068398606,0.00054806645,0.009531323,0.0009499584],"domain_scores_gemma":[0.9519955,0.009831292,0.008110011,0.002291285,0.02487006,0.0029019797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011040466,0.00040692632,0.00033848538,0.0059987237,0.0033377034,0.0023008161,0.0011556569,0.00032501633,0.0012065943],"category_scores_gemma":[0.042030927,0.00024896156,0.00084017694,0.006708742,0.0022408275,0.0010204867,0.0019778938,0.0006591188,0.000082049184],"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":[0.0002685663,0.0001166496,0.89802635,0.0003132438,0.00037340226,0.0001264899,0.00938901,0.006332918,0.00188207,0.0023570405,0.0020598413,0.07875446],"study_design_scores_gemma":[0.0000054623197,0.000056426583,0.9916198,0.000043429278,0.00004852405,0.000010290656,0.002988917,0.0016776285,0.0003180903,0.00012753843,0.0030835527,0.000020221198],"about_ca_topic_score_codex":0.9080342,"about_ca_topic_score_gemma":0.9511453,"teacher_disagreement_score":0.091965795,"about_ca_system_score_codex":0.042186324,"about_ca_system_score_gemma":0.04102834,"threshold_uncertainty_score":0.30608463},"labels":[],"label_agreement":null},{"id":"W4411545486","doi":"10.1016/j.geosus.2025.100331","title":"Urban flourish or peril: Navigating the safe and just space through the lens of ecosystem services in China’s urbanization","year":2025,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Urbanization; China; Space (punctuation); Lens (geology); Ecosystem services; Urban space; Through-the-lens metering; Geography; Ecosystem; Environmental planning; Environmental resource management; Ecology; Economic growth; Environmental science; Economics; Computer science; Engineering; Archaeology; Biology","score_opus":0.00388093484085505,"score_gpt":0.22085505952321993,"score_spread":0.21697412468236488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411545486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9048522,0.0027580406,0.007382648,0.013981917,0.00011079862,0.000056310666,0.0002018502,0.000043634354,0.07061256],"genre_scores_gemma":[0.9973132,0.00049636886,0.0009469789,0.0001651692,0.0000106197585,0.000010956886,0.000022960085,0.000004369956,0.0010294339],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996407,0.00015288615,0.000010590998,0.000046942012,0.000043930922,0.00010489178],"domain_scores_gemma":[0.9997315,0.000056222605,0.000032134612,0.000020311509,0.00004782571,0.000111991074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007388639,0.00042306166,0.00020643724,0.0019743529,0.0026756069,0.0034373263,0.0005792199,0.00046068276,0.0017313154],"category_scores_gemma":[0.000643439,0.00013772502,0.00039397742,0.0022131358,0.006346263,0.003254392,0.002794495,0.00087522547,0.0000721801],"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":[0.000056127086,0.000072919305,0.22005837,0.0003451118,0.00007871498,0.0022250623,0.12469255,0.0041475133,0.0020486205,0.5677517,0.006152494,0.07237083],"study_design_scores_gemma":[0.000017348071,0.00013706145,0.44171026,0.00056997285,0.00013189357,0.0006326841,0.23362081,0.015855081,0.00072118756,0.17604649,0.13044535,0.000111868205],"about_ca_topic_score_codex":0.10761679,"about_ca_topic_score_gemma":0.19995946,"teacher_disagreement_score":0.10761679,"about_ca_system_score_codex":0.008225658,"about_ca_system_score_gemma":0.0061308066,"threshold_uncertainty_score":0.2139808},"labels":[],"label_agreement":null},{"id":"W4416413017","doi":"10.1016/j.geosus.2025.100379","title":"The second phase of Global Dryland Ecosystem Program—Focusing on dryland social-ecological system and sustainability","year":2025,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"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":"Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; Canadian Anesthesiologists' Society","keywords":"Sustainability; Ecosystem; Phase (matter); Dryland farming; Climate change","score_opus":0.0058708462810050065,"score_gpt":0.24948394226575601,"score_spread":0.243613095984751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416413017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6511868,0.0038709496,0.028558204,0.052615937,0.0046422565,0.0063239355,0.014254577,0.0006653941,0.23788202],"genre_scores_gemma":[0.76388735,0.0017248028,0.0395329,0.025839841,0.0008093214,0.0065805893,0.0095912395,0.0002415412,0.15179245],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995097,0.00008104254,0.000010831454,0.0000679917,0.00008560108,0.00024490705],"domain_scores_gemma":[0.9987992,0.00014161626,0.00008644066,0.00010783177,0.00027474112,0.00059024844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021268295,0.00038469268,0.0003568172,0.00090055825,0.0016155151,0.0016776761,0.00083458354,0.0009422936,0.0069329534],"category_scores_gemma":[0.0016878109,0.00016341187,0.00038491926,0.0006553505,0.000625897,0.0009135024,0.003533669,0.0015289657,0.0004819884],"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":[0.0014324407,0.0045901663,0.06278016,0.0018527951,0.00016014058,0.0007195857,0.0076754712,0.0058316747,0.037893135,0.21744503,0.27948168,0.38013777],"study_design_scores_gemma":[0.00033333548,0.0011744257,0.18770118,0.00027338095,0.000051379204,0.0001832598,0.0033705672,0.0017353065,0.011429313,0.013657694,0.78005105,0.00003913173],"about_ca_topic_score_codex":0.015213461,"about_ca_topic_score_gemma":0.028035475,"teacher_disagreement_score":0.015213461,"about_ca_system_score_codex":0.0035305559,"about_ca_system_score_gemma":0.016219663,"threshold_uncertainty_score":0.030249834},"labels":[],"label_agreement":null}]}