{"meta":{"query_hash":"a77f93ea03b0","filters":{"venue":"Ganhanqu dili"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/a77f93ea03b0","api":"https://metacan.xera.ac/api/v1/cohort?venue=Ganhanqu+dili"},"results":[{"id":"W1476244644","doi":"","title":"A study on the structure features and spatial and temporal dynamic mode of overseas tourists in Xi'an.","year":2000,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Cruise Tourism Development and Management","field":"Social Sciences","cited_by":1,"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":"Tourism; Beijing; Geography; Entertainment; China; Service (business); Economy; Business; Advertising; Regional science; Economic geography; Political science; Marketing; Economics","score_opus":0.011178890871450402,"score_gpt":0.2923193880400366,"score_spread":0.2811404971685862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1476244644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454266,0.000056183333,0.0000016557067,0.0005959818,0.000054622527,0.0004899812,0.000006609126,0.000014934733,0.0042373952],"genre_scores_gemma":[0.9983277,0.00006301221,0.000024702238,0.00007114211,0.000041081286,0.000006479452,0.000003364106,0.0000054783604,0.0014570389],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9991478,0.00012525737,0.00011426847,0.00019097285,0.00026262942,0.00015909734],"domain_scores_gemma":[0.99974084,0.000039592866,0.00003519342,0.00012214034,0.000011624307,0.00005062026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021487688,0.00009229827,0.00012138088,0.00005502474,0.00015704411,0.000049038917,0.0001157286,0.000044958728,0.00025542616],"category_scores_gemma":[0.000021862295,0.000066677705,0.000013639313,0.00011395336,0.000120782286,0.00007790737,0.000036412002,0.000091141286,0.0000012152667],"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":[0.00075245195,0.0011783665,0.28020626,0.000062383755,0.00016494998,0.00015769432,0.52265257,0.00011481339,0.00043318584,0.011263477,0.006339218,0.17667466],"study_design_scores_gemma":[0.00084561034,0.00017971313,0.9682155,0.00002590099,0.000021334268,7.020143e-7,0.023525618,0.00016845684,0.000062325074,0.0035274923,0.0032293163,0.00019799215],"about_ca_topic_score_codex":0.009179086,"about_ca_topic_score_gemma":0.0852678,"teacher_disagreement_score":0.68800926,"about_ca_system_score_codex":0.00003036622,"about_ca_system_score_gemma":0.00003772177,"threshold_uncertainty_score":0.9974189},"labels":[],"label_agreement":null},{"id":"W2357708616","doi":"","title":"Optimized exploitation of water resources at agricultural region of arid oasis","year":2007,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Environmental and Agricultural Sciences","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":"Toronto Metropolitan University","funders":"","keywords":"Arid; Water resources; Agriculture; China; Environmental resource management; Ecosystem; Water resource management; Business; Environmental science; Geography; Ecology","score_opus":0.00943264852248659,"score_gpt":0.18773644754314223,"score_spread":0.17830379902065563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357708616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99270827,0.000029838477,0.00006188647,0.0001949849,0.00006506581,0.00013255916,0.0000020448679,0.000015890644,0.006789463],"genre_scores_gemma":[0.9962472,0.000029482027,0.0009514542,0.000028185512,0.000024590416,0.000004083641,0.000012211577,0.0000032797368,0.0026995414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880195,0.000028704053,0.0002924224,0.00023048489,0.0003961845,0.00025025776],"domain_scores_gemma":[0.99963164,0.00004019356,0.00012885782,0.00011202202,0.000006223443,0.00008106863],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023644329,0.00011570498,0.00015293212,0.000019185005,0.00010024965,0.000006577481,0.00019964737,0.00005181072,0.0010670943],"category_scores_gemma":[0.000011537672,0.00005651792,0.00008471237,0.00016853705,0.0003262746,0.00024196487,0.00018930488,0.00004279107,0.00012996442],"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":[0.000054186134,0.00007880516,0.017790928,0.000008325324,0.000006398076,0.000003357663,0.003041707,0.00087241165,0.9743818,0.0000061457645,0.0006421756,0.0031137643],"study_design_scores_gemma":[0.00018391173,0.00007643905,0.37710658,0.000011480277,0.00000974155,0.000009338448,0.0012118705,0.000009070939,0.620252,0.00004572447,0.0009815905,0.00010224349],"about_ca_topic_score_codex":0.00028208125,"about_ca_topic_score_gemma":0.000103018785,"teacher_disagreement_score":0.35931566,"about_ca_system_score_codex":0.00008801754,"about_ca_system_score_gemma":4.832165e-7,"threshold_uncertainty_score":0.99984604},"labels":[],"label_agreement":null},{"id":"W2358221741","doi":"","title":"Spatial pattern on urban heat environment using split window algorithm and spectral mixture analysis based on Landsat 8 images:a case of Lanzhou City","year":2015,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Science North","funders":"","keywords":"Window (computing); Remote sensing; Urban heat island; Algorithm; Environmental science; Geography; Geology; Computer science; Meteorology","score_opus":0.018210491861657335,"score_gpt":0.2146119078338798,"score_spread":0.19640141597222247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358221741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942974,0.00008816166,0.0044338014,0.00012284439,0.0001249181,0.000104065875,0.00028110453,0.00001883251,0.00052891456],"genre_scores_gemma":[0.9980467,0.000009921173,0.001349742,0.00015767207,0.00018858768,6.333932e-8,0.00017580719,0.0000051046713,0.00006640128],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988268,0.000115268514,0.00018466651,0.00033164638,0.00028597418,0.00025562526],"domain_scores_gemma":[0.99933267,0.000081086415,0.00005957648,0.0002791699,0.000015590234,0.00023191389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023974985,0.000185354,0.00029704612,0.00015023544,0.000088719025,0.000044923494,0.00006589999,0.0000832319,0.00027801184],"category_scores_gemma":[0.000014880368,0.00013675836,0.0000965822,0.00015126038,0.0000718963,0.000047873553,0.000007753458,0.00014832066,0.000019409697],"study_design_candidate":"observational","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":[0.00020029175,0.00010815589,0.8295641,0.00002064361,0.00014991999,0.0012670178,0.00069133076,0.044666056,0.00008597945,2.5169786e-7,0.00030482144,0.12294144],"study_design_scores_gemma":[0.00086748594,0.00053175475,0.32752088,0.000025235022,0.00024358703,0.000106994026,0.000109194596,0.6687455,0.0013131608,0.000013632034,0.00027572285,0.00024683078],"about_ca_topic_score_codex":0.02748794,"about_ca_topic_score_gemma":0.0024352968,"teacher_disagreement_score":0.62407947,"about_ca_system_score_codex":0.000012192242,"about_ca_system_score_gemma":0.000025509818,"threshold_uncertainty_score":0.9789881},"labels":[],"label_agreement":null},{"id":"W2369238941","doi":"","title":"Influence of social capital to regional innovation ability","year":2015,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Social Capital and Networks","field":"Social Sciences","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":"Science North","funders":"","keywords":"Promotion (chess); Social capital; Business; Competition (biology); Economic geography; Mainland China; China; Index (typography); Industrial organization; Economic system; Economics; Geography; Political science","score_opus":0.05324491796255678,"score_gpt":0.33536526952879175,"score_spread":0.282120351566235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2369238941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888961,0.00003063947,0.00003064148,0.0023815085,0.00018436756,0.00017970313,0.0000053488516,0.00004840929,0.008243282],"genre_scores_gemma":[0.9984929,0.000002565486,0.00007070925,0.00039806613,0.0005577483,0.000013997209,0.000006565529,0.0000054450934,0.00045202766],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99878466,0.000103702994,0.00022491856,0.00016323403,0.0004947977,0.00022866704],"domain_scores_gemma":[0.99906045,0.00006284044,0.00008981744,0.0000865471,0.0005887446,0.00011160887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008133194,0.000071643335,0.0001344468,0.000060362236,0.00020378162,0.00001963276,0.00018716106,0.00011793053,0.000048351278],"category_scores_gemma":[0.0006343244,0.00007437866,0.00004026886,0.0009267498,0.00034514346,0.00019313222,0.000048409856,0.00008842321,0.000068481335],"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":[0.00014495074,0.00019037025,0.015043388,0.00001718298,0.00002345666,0.0000020962623,0.58631724,0.00024105735,0.0021222462,0.35955328,0.027519783,0.008824972],"study_design_scores_gemma":[0.00096878054,0.00034973767,0.6585979,0.000036212194,0.000028001465,9.97574e-7,0.093055524,0.000016716473,0.0012358107,0.15098509,0.09401836,0.0007068964],"about_ca_topic_score_codex":0.001603108,"about_ca_topic_score_gemma":0.0008442248,"teacher_disagreement_score":0.6435545,"about_ca_system_score_codex":0.00012694045,"about_ca_system_score_gemma":0.00028891308,"threshold_uncertainty_score":0.30330738},"labels":[],"label_agreement":null},{"id":"W2371150312","doi":"","title":"Response of net primary productivity to climatic factors in Qilian Mountains in resent eleven years","year":2016,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Environmental Changes in China","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":"Science North","funders":"","keywords":"Primary production; Precipitation; Productivity; Environmental science; Climate change; Lag; Climatology; Physical geography; Meteorology; Ecosystem; Geography; Geology; Ecology; Biology","score_opus":0.01696870752914051,"score_gpt":0.25157476390613065,"score_spread":0.23460605637699014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371150312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99776554,0.000012993713,0.00002127941,0.0008852588,0.00008353954,0.0005225533,0.000027384018,0.00001626221,0.00066521147],"genre_scores_gemma":[0.9985416,0.000014476706,0.0004716561,0.00009434754,0.000014562335,0.000036817615,0.0000031981383,0.000023370076,0.0007999603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981003,0.0002863004,0.0003196172,0.0004691818,0.0004256454,0.00039896852],"domain_scores_gemma":[0.9990402,0.00021587464,0.00007876473,0.000553097,0.0000016107224,0.000110466004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009850155,0.00016330057,0.00023859105,0.000128176,0.000020154734,0.000005520493,0.00033673158,0.00007419867,0.0005599589],"category_scores_gemma":[0.00029588243,0.00013098182,0.000040319734,0.00037472372,0.00023588097,0.00022011738,0.00047161145,0.000118295204,0.00029670377],"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":[0.00025423596,0.0002202592,0.79116535,0.000014170895,0.0000022648871,0.000014273569,0.0021882143,0.00011979381,0.20320174,0.000004119913,0.00024371519,0.002571836],"study_design_scores_gemma":[0.0003504633,0.00014695214,0.96128875,0.00006891805,0.0000021208414,0.000001539625,0.00017452051,0.0000051193524,0.036755804,0.00020583646,0.0008360573,0.00016390366],"about_ca_topic_score_codex":0.00054162566,"about_ca_topic_score_gemma":0.0018870858,"teacher_disagreement_score":0.17012338,"about_ca_system_score_codex":0.0013484407,"about_ca_system_score_gemma":0.0000129998325,"threshold_uncertainty_score":0.6131158},"labels":[],"label_agreement":null},{"id":"W2371469698","doi":"","title":"Variations and influential factors of agricultural carbon emissions in Gansu Province","year":2014,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Agriculture Sustainability and Environmental Impact","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":"Science North","funders":"","keywords":"Agriculture; Greenhouse gas; Environmental science; Carbon fibers; Agricultural productivity; Agricultural economics; Carbon sequestration; Irrigation; Environmental protection; Carbon dioxide; Geography; Mathematics; Agronomy; Economics; Chemistry","score_opus":0.003223458528794348,"score_gpt":0.18794297915070804,"score_spread":0.18471952062191369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371469698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99575645,0.000010477784,0.00006465708,0.0001333208,0.00003440457,0.00020491285,0.0000049306004,0.000016164184,0.0037746578],"genre_scores_gemma":[0.99950457,0.0000047122307,0.000103015416,0.000020111855,0.000015258258,0.000006299924,0.000009685352,0.0000046848772,0.0003316759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991186,0.00006448629,0.00019895706,0.00022579888,0.00017774338,0.0002143847],"domain_scores_gemma":[0.99962837,0.000050452145,0.00006569767,0.00013964553,0.000003379681,0.00011248882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012295469,0.0001273201,0.00014239321,0.000020630521,0.00006963555,0.000011803238,0.00010621515,0.00007863869,0.00021166695],"category_scores_gemma":[0.00010873252,0.0000844277,0.000034231278,0.00016405342,0.00018241463,0.00017531992,0.00013542589,0.00010878035,0.000007629792],"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":[0.000009608994,0.00021530323,0.92725134,0.000025080903,0.0000068734853,8.271911e-7,0.002747217,0.0016284506,0.06652153,0.00018249365,0.00010830566,0.0013029643],"study_design_scores_gemma":[0.0001853937,0.000063360734,0.9931972,0.000009033972,0.000010610407,0.0000018752497,0.0006874801,0.00014720866,0.0050562634,0.00020790492,0.00031367588,0.000119975535],"about_ca_topic_score_codex":0.0015238316,"about_ca_topic_score_gemma":0.0006733511,"teacher_disagreement_score":0.06594587,"about_ca_system_score_codex":0.0001386793,"about_ca_system_score_gemma":0.000006416692,"threshold_uncertainty_score":0.34428617},"labels":[],"label_agreement":null},{"id":"W2371926229","doi":"","title":"Estimation of solar radiation over rugged terrains based on clear sky condition","year":2015,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Solar Radiation and Photovoltaics","field":"Computer 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":false,"ca_institutions":"Science North","funders":"","keywords":"Environmental science; Terrain; MODTRAN; Elevation (ballistics); Albedo (alchemy); Radiation; Diffuse sky radiation; Remote sensing; Meteorology; Atmospheric sciences; Geology; Radiance; Geography; Physics","score_opus":0.019593587222323804,"score_gpt":0.27100601832228827,"score_spread":0.2514124310999645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371926229","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":[0.32029969,0.000027213018,0.67369515,0.0007217229,0.00087639986,0.0003954129,0.000026420403,0.00025421588,0.0037037511],"genre_scores_gemma":[0.9942761,0.0000021060462,0.004689193,0.00080001407,0.000044808763,0.000011060629,0.000083669045,0.000010187512,0.000082833256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886477,0.00011403588,0.00023280866,0.00022496398,0.0004136988,0.00014974746],"domain_scores_gemma":[0.9991279,0.00008988759,0.00016473378,0.00040704155,0.00008575511,0.00012465437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041395557,0.000109665576,0.00012861872,0.00017040363,0.000064839456,0.00006610045,0.00024840495,0.00008363655,0.00005140001],"category_scores_gemma":[0.00023755842,0.00011204702,0.000055903663,0.00032289122,0.00003255725,0.00043072645,0.000024942276,0.000098669065,0.00012067586],"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":[0.00065685954,0.0023262117,0.01756909,0.00027637472,0.00014811946,0.00003688764,0.025343347,0.37683615,0.028228348,0.085745625,0.11023071,0.35260227],"study_design_scores_gemma":[0.00095839135,0.00024693,0.015037824,0.00001690845,0.000006394988,0.0000013040711,0.000022344502,0.95665455,0.021864273,0.0018293388,0.0032270527,0.0001346873],"about_ca_topic_score_codex":0.00005670307,"about_ca_topic_score_gemma":0.0000090344665,"teacher_disagreement_score":0.6739764,"about_ca_system_score_codex":0.000096121745,"about_ca_system_score_gemma":0.00013445535,"threshold_uncertainty_score":0.45691448},"labels":[],"label_agreement":null},{"id":"W2373199535","doi":"","title":"Sustainable development evaluation based on ecological footprint:a case study of Ningxia Hui Autonomous Region","year":2013,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ecological footprint; Sustainable development; Environmental resource management; Ecological deficit; Carrying capacity; Scale (ratio); Consumption (sociology); Footprint; Environmental science; Environmental economics; Geography; Ecology; Economics; Cartography","score_opus":0.023139354761948734,"score_gpt":0.2501491369950535,"score_spread":0.22700978223310475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373199535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954025,0.0000029970286,0.00013023344,0.000111609326,0.000029050188,0.0018947157,1.3479027e-7,0.00003929425,0.0023894773],"genre_scores_gemma":[0.9982814,1.1376096e-7,0.00022217058,0.000049054852,0.000009940029,0.00031883633,0.0000025076583,0.000010270376,0.00110566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99811745,0.00025486838,0.00033911952,0.00043412967,0.00046818928,0.0003862669],"domain_scores_gemma":[0.9992268,0.00006760972,0.00011077734,0.00040767548,0.000071177805,0.00011593378],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008565423,0.00016047833,0.00018326238,0.000055890378,0.00023692711,0.000039664817,0.00018382678,0.00007365312,0.001544732],"category_scores_gemma":[0.00014264334,0.0001265638,0.000043091444,0.00019651579,0.00009931466,0.000087338754,0.00021888553,0.00011055055,0.000089360445],"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":[0.00013370842,0.0073563606,0.77447104,0.00012497259,0.000037235888,0.001941711,0.0308247,0.09147953,0.00029832672,0.000040013776,0.0007067399,0.09258566],"study_design_scores_gemma":[0.0016293162,0.0016653693,0.9112108,0.000008325967,0.00003400698,0.00005923423,0.05111623,0.03010332,0.0013110748,0.0005048724,0.0019982615,0.0003592133],"about_ca_topic_score_codex":0.0059189806,"about_ca_topic_score_gemma":0.00041912575,"teacher_disagreement_score":0.13673973,"about_ca_system_score_codex":0.000821093,"about_ca_system_score_gemma":0.000053350508,"threshold_uncertainty_score":0.999368},"labels":[],"label_agreement":null},{"id":"W2375902835","doi":"","title":"Characteristic analysis of farmer household'social capital in Zhangye City","year":2013,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Social capital; Index (typography); Household income; Social mobility; Socioeconomics; Financial capital; Demographic economics; Economic growth; Business; Geography; Economics; Human capital; Sociology; Social science","score_opus":0.033117347370189495,"score_gpt":0.28479619530749706,"score_spread":0.25167884793730755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2375902835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919489,0.00011199584,0.000018546589,0.00039582446,0.00026854355,0.00022025737,0.000030496702,0.00004954023,0.0069559156],"genre_scores_gemma":[0.99855983,0.00006162954,0.000011254916,0.0001241348,0.00037079034,0.000037353395,0.00002327089,0.000010333186,0.0008013899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985194,0.0001658395,0.0002997071,0.00022771605,0.0003707214,0.00041657017],"domain_scores_gemma":[0.99942255,0.00012292538,0.00013779123,0.00011803552,0.00009324913,0.00010545799],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036530616,0.00012006445,0.000388575,0.00021450284,0.00023168721,0.000052869054,0.00023831849,0.00018004957,0.0018988292],"category_scores_gemma":[0.000117251235,0.000120632976,0.0002167167,0.0014868218,0.00034371906,0.00021451652,0.000050184,0.00014958759,0.000060567],"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":[0.000052071642,0.0009463534,0.53440475,0.00003648363,0.00089243177,0.000018015524,0.4172218,0.000024055273,0.0022525073,0.012625466,0.003923078,0.027602952],"study_design_scores_gemma":[0.00017090395,0.000026927855,0.9844623,0.000006291999,0.00016526008,6.383574e-8,0.012831769,0.000048307596,0.00004971287,0.0013129073,0.0007285289,0.00019701273],"about_ca_topic_score_codex":0.017992588,"about_ca_topic_score_gemma":0.009964829,"teacher_disagreement_score":0.45005757,"about_ca_system_score_codex":0.00009547684,"about_ca_system_score_gemma":0.00006004665,"threshold_uncertainty_score":0.99901354},"labels":[],"label_agreement":null},{"id":"W2379459575","doi":"","title":"Developing model of Wuwei City under the control of water resources with the STIRPAT model","year":2013,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Water Resources and Sustainability","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":"Science North","funders":"","keywords":"Urbanization; Water resources; Per capita; Population; Consumption (sociology); Environmental science; Driving factors; China; Population growth; Water resource management; Natural resource economics; Agricultural economics; Geography; Economics; Economic growth; Demography","score_opus":0.01598179976625494,"score_gpt":0.2010889816571741,"score_spread":0.18510718189091915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379459575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93892175,0.000015197275,0.056796283,0.002838407,0.0000064001565,0.0004186723,0.00000468259,0.000011888363,0.0009867087],"genre_scores_gemma":[0.99806005,0.000001956526,0.0004119309,0.00034573313,0.000007667844,0.000039367536,8.645548e-7,0.0000106479365,0.0011217739],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883324,0.00007777665,0.00021837004,0.00021425173,0.00035201976,0.00030435596],"domain_scores_gemma":[0.99933356,0.000060398997,0.000079318066,0.00044532417,0.00003653027,0.000044848686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037328483,0.00013477923,0.00017977678,0.000012903242,0.00017000448,0.000026054366,0.00045056906,0.000046168905,0.00021306684],"category_scores_gemma":[0.000009854075,0.000051393487,0.00005801997,0.000083096886,0.00061710237,0.00011605982,0.0002271641,0.000110536115,0.000016598233],"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":[0.00007027093,0.000064894055,0.024701474,0.00003539401,0.00003715141,3.5648245e-7,0.014169022,0.948387,0.011303254,0.0003082046,0.0002079612,0.00071500754],"study_design_scores_gemma":[0.00072349736,0.00009590637,0.04990199,0.000018343842,0.00004579315,0.0000022447127,0.004890613,0.9024119,0.022627389,0.01831741,0.0006698069,0.00029514643],"about_ca_topic_score_codex":0.0014790795,"about_ca_topic_score_gemma":0.00017301811,"teacher_disagreement_score":0.059138298,"about_ca_system_score_codex":0.000069841975,"about_ca_system_score_gemma":0.000013052912,"threshold_uncertainty_score":0.23329327},"labels":[],"label_agreement":null}]}