{"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979735,0.0001238022,0.00007436641,0.00003353642,0.000003541684,0.000007918858,0.00041253198,0.000003351204,0.0013673557],"genre_scores_gemma":[0.99609226,0.00028890494,0.00019006916,0.000014463374,0.000004831216,0.000012469503,0.00081488956,0.0000023573616,0.0025797428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999064,0.000010980852,0.0000062147164,0.000023039396,0.000019152609,0.000034181823],"domain_scores_gemma":[0.9998455,0.00002314321,0.00004766864,0.000008121025,0.000026076978,0.000049444414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012786083,0.0001836511,0.000087595,0.0010560357,0.00041936676,0.0004170088,0.00018978925,0.00015695048,0.0017046778],"category_scores_gemma":[0.0002166401,0.00014170751,0.00019649942,0.0017382122,0.00017222931,0.00037889375,0.00027762464,0.00015556587,0.00014470181],"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":[0.000060152568,0.00003334185,0.9735694,0.00011529005,0.000037141042,0.0008838706,0.008533345,0.00045451618,0.001693327,0.0004490029,0.0009129449,0.013257649],"study_design_scores_gemma":[4.802073e-7,0.000011157655,0.99456406,0.000006040022,0.0000059931326,0.00008616496,0.0037417954,0.00025991345,0.000047520374,0.000016718248,0.0012573292,0.00000284656],"about_ca_topic_score_codex":0.081976786,"about_ca_topic_score_gemma":0.18340111,"teacher_disagreement_score":0.081976786,"about_ca_system_score_codex":0.0008119359,"about_ca_system_score_gemma":0.0006708084,"threshold_uncertainty_score":0.16299921},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86641675,0.0004566206,0.11968691,0.00049050886,0.000032790103,0.00012232913,0.00021178566,0.000073329575,0.012509074],"genre_scores_gemma":[0.9906307,0.00015242102,0.0073198806,0.000016788368,0.0000051665256,0.000046530804,0.00004869388,0.000008417187,0.0017713266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998671,0.000048442897,0.000005180757,0.000018500668,0.000018126317,0.00004269782],"domain_scores_gemma":[0.99992704,0.000031091386,0.000013238965,0.0000029457585,0.000012929967,0.00001276571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031605098,0.0004892321,0.0003540578,0.00031078228,0.00034102314,0.0009181809,0.0004472008,0.00047916587,0.0009343873],"category_scores_gemma":[0.0004286436,0.0002213613,0.000439213,0.0004924369,0.00027415052,0.0005032701,0.00053143594,0.00025677352,0.00004273903],"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":[0.00002658343,0.000034805467,0.002458168,0.000048557464,0.000031806063,0.0001934789,0.00003891156,0.98600036,0.0017680041,0.0029160457,0.00025157657,0.00623176],"study_design_scores_gemma":[0.000015731968,0.000048391375,0.0015120879,0.0000058502073,0.000013671926,0.000019798266,0.0001281665,0.99599767,0.0004893246,0.0014119367,0.00035242917,0.0000048963925],"about_ca_topic_score_codex":0.019326635,"about_ca_topic_score_gemma":0.021749273,"teacher_disagreement_score":0.019326635,"about_ca_system_score_codex":0.00093604374,"about_ca_system_score_gemma":0.0010556695,"threshold_uncertainty_score":0.038428247},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845624,0.000032372798,0.0008384626,0.000038994785,0.000002181956,0.0000059185877,0.00015339303,0.000019435398,0.00045303584],"genre_scores_gemma":[0.99933213,0.000015537162,0.00031998908,0.0000015162409,0.0000035049668,0.0000023691287,0.00014114278,0.0000020492466,0.00018179715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976045,0.0000438036,0.000010509846,0.00006045773,0.000057170673,0.0000675685],"domain_scores_gemma":[0.99976283,0.000060887905,0.000048147234,0.000024023655,0.00007830242,0.000025791815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003340957,0.00031709042,0.00022769807,0.0016498035,0.00036042766,0.0005753521,0.0005635655,0.0002912298,0.00082242285],"category_scores_gemma":[0.0004078788,0.0002146058,0.0005295241,0.0016193097,0.00043694588,0.00040554034,0.00034407346,0.0001232423,0.00008880036],"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":[0.000518683,0.0001933494,0.898196,0.00006446797,0.00023573668,0.004567511,0.0009155421,0.05635998,0.011564342,0.0019777426,0.001476524,0.023930062],"study_design_scores_gemma":[0.000015327942,0.00003684157,0.79533875,0.0000051321617,0.000116297815,0.00031986387,0.0011475666,0.20111747,0.0012010353,0.00029121395,0.00037543508,0.00003496489],"about_ca_topic_score_codex":0.07689234,"about_ca_topic_score_gemma":0.08008523,"teacher_disagreement_score":0.07689234,"about_ca_system_score_codex":0.0007851933,"about_ca_system_score_gemma":0.00034132545,"threshold_uncertainty_score":0.15288955},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97647524,0.00022669844,0.0010316165,0.0003397496,0.000010058209,0.000030585583,0.00008960211,0.00001583263,0.021780683],"genre_scores_gemma":[0.9996449,0.000043945773,0.00006600974,0.0000056310428,0.000003608104,0.0000035262503,0.0000127654675,7.95224e-7,0.0002188883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986143,0.0005057823,0.00008603642,0.00012670802,0.00027016582,0.000397059],"domain_scores_gemma":[0.9891165,0.0052813324,0.0024358728,0.00057320803,0.00092440884,0.0016687042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015439895,0.00019227351,0.00021982213,0.0015192558,0.0005091337,0.0014571963,0.00029619734,0.0003192733,0.0043000267],"category_scores_gemma":[0.011046012,0.00007197019,0.0004822798,0.0010201124,0.0010746768,0.0007601101,0.0015339069,0.00036579432,0.00022743377],"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":[0.00014886509,0.00027552785,0.9280326,0.00011528201,0.00031414322,0.00049099536,0.001974698,0.007872914,0.00077648455,0.01043706,0.0006546617,0.04890675],"study_design_scores_gemma":[0.000023268034,0.00015486532,0.97919697,0.00007546626,0.00013833799,0.00019852188,0.0026369318,0.008202238,0.00047502856,0.005561756,0.0033064883,0.000030178142],"about_ca_topic_score_codex":0.0066097644,"about_ca_topic_score_gemma":0.006780632,"teacher_disagreement_score":0.0066097644,"about_ca_system_score_codex":0.0012681234,"about_ca_system_score_gemma":0.0011912318,"threshold_uncertainty_score":0.014385045},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994349,0.00003728604,0.00011876687,0.000030231258,0.0000025196498,0.0000027570363,0.00021624981,0.000006636374,0.00015061222],"genre_scores_gemma":[0.9992446,0.000027516931,0.00007086866,0.000009455364,0.0000024356816,0.0000058594696,0.0004328447,0.0000012571818,0.00020520494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998266,0.000026965348,0.000014080147,0.000049775317,0.000023577672,0.000059010184],"domain_scores_gemma":[0.9997464,0.000045413133,0.000060519582,0.00002405508,0.00006357482,0.000060068207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000527,0.00027603787,0.00025300484,0.00046088503,0.0003162903,0.00040504694,0.00038266947,0.0003114381,0.00076307484],"category_scores_gemma":[0.00068416353,0.00018326397,0.00055157056,0.0004704014,0.00023106541,0.00029609568,0.0004071246,0.00024673625,0.000086981214],"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":[0.00022327241,0.00008248066,0.9638666,0.000057812435,0.00025504903,0.0005802828,0.00047692846,0.024328135,0.0035424037,0.00037747584,0.00062870386,0.005580719],"study_design_scores_gemma":[0.000018687824,0.00006554331,0.9613493,0.0000063122343,0.000051000996,0.000057593083,0.0003287154,0.037160814,0.0003152452,0.000102664504,0.0005292112,0.000014911826],"about_ca_topic_score_codex":0.04779262,"about_ca_topic_score_gemma":0.050855257,"teacher_disagreement_score":0.04779262,"about_ca_system_score_codex":0.00082739454,"about_ca_system_score_gemma":0.0005229979,"threshold_uncertainty_score":0.09502888},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984425,0.0001317298,0.00007496559,0.00005715839,0.0000030530487,0.0000037165182,0.00028725,0.000006980624,0.0009926535],"genre_scores_gemma":[0.9993272,0.00009738065,0.000054688404,0.0000073141714,0.0000026071575,0.0000022817148,0.0002713392,0.0000011652703,0.0002360394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999835,0.000025869504,0.00001245108,0.00003987181,0.000040534243,0.00004631448],"domain_scores_gemma":[0.99978334,0.000050512783,0.000055402204,0.0000146477905,0.000063323576,0.000032826534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021658557,0.00024192079,0.00014127146,0.00091349764,0.00025494857,0.00042275325,0.00017232096,0.0001342499,0.00057581975],"category_scores_gemma":[0.00029371286,0.000109615474,0.0003378478,0.001085404,0.00022681445,0.00015506189,0.00024685435,0.00013973411,0.00005301084],"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":[0.000057189238,0.000025336027,0.98490334,0.000043528402,0.000092981725,0.0006403587,0.00030809897,0.004002427,0.0018391677,0.00031027797,0.00047350567,0.007303783],"study_design_scores_gemma":[0.0000021414173,0.0000074786512,0.9969236,0.0000045716774,0.000011885133,0.00004660839,0.0002372839,0.001987742,0.00011830542,0.00003286464,0.00062264444,0.000004732898],"about_ca_topic_score_codex":0.12988375,"about_ca_topic_score_gemma":0.14362578,"teacher_disagreement_score":0.12988375,"about_ca_system_score_codex":0.0011052212,"about_ca_system_score_gemma":0.0007459725,"threshold_uncertainty_score":0.25825554},"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":"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":[0.9367332,0.00036754482,0.058400527,0.00005444306,0.000014860982,0.000034463897,0.0005271946,0.00040783608,0.0034599334],"genre_scores_gemma":[0.99536175,0.00015796642,0.0037681719,0.0000057283737,0.0000043047066,0.0000095356745,0.00030555672,0.000012480672,0.00037463143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986136,0.000020594689,0.000008764412,0.00004759971,0.00004271745,0.000018889417],"domain_scores_gemma":[0.9998951,0.000023802644,0.000022413205,0.000018256073,0.000031132196,0.0000093568215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012394234,0.00040824703,0.00026861342,0.0006622826,0.00018880863,0.00054357277,0.00026760527,0.00026116867,0.00046133046],"category_scores_gemma":[0.0004421799,0.0001948986,0.0004087922,0.0006499311,0.00015704073,0.0006593796,0.00028243472,0.00014506848,0.0001925129],"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":[0.00012041996,0.000071674156,0.21026552,0.00017433698,0.00017177837,0.00056950294,0.00037970016,0.68159,0.025902046,0.00088864757,0.0009712679,0.07889508],"study_design_scores_gemma":[0.000017126702,0.000052228686,0.14660576,0.000017690649,0.000047923808,0.0001512037,0.00022341643,0.84758574,0.0039137485,0.00049392553,0.0008593906,0.000031864707],"about_ca_topic_score_codex":0.009167469,"about_ca_topic_score_gemma":0.009772168,"teacher_disagreement_score":0.009167469,"about_ca_system_score_codex":0.00021076566,"about_ca_system_score_gemma":0.00024890056,"threshold_uncertainty_score":0.018228233},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907224,0.00038899362,0.00071383885,0.00032521665,0.0000087098,0.000081242775,0.00011738432,0.0000071718,0.007635023],"genre_scores_gemma":[0.99543107,0.0006365376,0.0014702812,0.000028019263,0.000004382695,0.000045712393,0.000079086596,0.0000042454076,0.0023006217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917907,0.00043120564,0.00003260284,0.000058196165,0.00014402438,0.00015483379],"domain_scores_gemma":[0.99920124,0.00036879675,0.000113213726,0.000051654977,0.00013677923,0.00012845543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015675306,0.0003914517,0.00027829086,0.0012427346,0.0019808542,0.0013215527,0.0008790235,0.00077119767,0.0009556618],"category_scores_gemma":[0.0013987502,0.00021920471,0.0004066857,0.003036205,0.0013183766,0.0012344739,0.001031424,0.0005232642,0.00006123418],"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":[0.0004840056,0.001802902,0.5241251,0.001371786,0.00028412207,0.09628026,0.09253008,0.09327269,0.0053122602,0.043677527,0.010481146,0.13037813],"study_design_scores_gemma":[0.00010370938,0.0006827653,0.55344605,0.00045215528,0.0002556699,0.0050588115,0.29095492,0.086522855,0.0047434773,0.005580778,0.051962283,0.00023658988],"about_ca_topic_score_codex":0.15215205,"about_ca_topic_score_gemma":0.19239582,"teacher_disagreement_score":0.15215205,"about_ca_system_score_codex":0.007958335,"about_ca_system_score_gemma":0.0028329433,"threshold_uncertainty_score":0.30253285},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987213,0.000019792027,0.00009573706,0.00004208562,0.0000012850091,0.000005597449,0.0001804672,0.0000026136677,0.00093099166],"genre_scores_gemma":[0.99950325,0.000019939527,0.000050170245,0.000004704264,0.000001154244,0.0000068281943,0.0001422276,5.493548e-7,0.00027109575],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99975675,0.000040023395,0.00001568526,0.000036884925,0.00006335626,0.00008714586],"domain_scores_gemma":[0.9994573,0.0000872885,0.00015928672,0.000028125834,0.00013880216,0.00012922111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001892381,0.0001476894,0.00016387843,0.0013168186,0.00070704444,0.00054252875,0.0002128015,0.00015663398,0.0019208348],"category_scores_gemma":[0.0008368444,0.00007494736,0.00016547044,0.00207432,0.00031692206,0.0003440818,0.00069509394,0.00015707384,0.0001259794],"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":[0.000030797088,0.000027958074,0.9864868,0.000029212511,0.000031000294,0.00031601125,0.003668946,0.00039399488,0.0005637779,0.00035790124,0.0007999062,0.007293645],"study_design_scores_gemma":[0.0000013924124,0.000017883049,0.9922241,0.000006130776,0.000008153326,0.00006709946,0.0059482534,0.0006311574,0.00009340818,0.00006190081,0.0009340048,0.000006532516],"about_ca_topic_score_codex":0.026878286,"about_ca_topic_score_gemma":0.034829114,"teacher_disagreement_score":0.026878286,"about_ca_system_score_codex":0.00088849885,"about_ca_system_score_gemma":0.0005688556,"threshold_uncertainty_score":0.05344367},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45904312,0.0013080124,0.40177825,0.004569077,0.00039158785,0.0002903569,0.0036466927,0.0011165745,0.12785633],"genre_scores_gemma":[0.9590138,0.0005397789,0.009529982,0.00012697428,0.000052252366,0.0002538756,0.0007129908,0.0000670896,0.029703215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967074,0.000091162896,0.000013086364,0.00009745604,0.000049069025,0.000078460245],"domain_scores_gemma":[0.99959534,0.00012560458,0.00006424224,0.000015641981,0.00015561761,0.000043528333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048107776,0.0008213182,0.000979319,0.00076596206,0.0009805448,0.0020452538,0.002001498,0.0023566196,0.008524286],"category_scores_gemma":[0.0010824656,0.0007166502,0.0015778414,0.0010043374,0.0008204358,0.0016862313,0.0015208068,0.001469149,0.00092374417],"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":[0.000028140363,0.000019979412,0.0012224258,0.000029903998,0.000023393613,0.00022164169,0.000058845304,0.9875284,0.0003489613,0.00853047,0.0005123915,0.0014755181],"study_design_scores_gemma":[0.000014075419,0.000013253664,0.0003080551,0.0000053709573,0.000014433798,0.00001774907,0.000041273648,0.9973476,0.000058527232,0.0015183046,0.00065321336,0.000008225416],"about_ca_topic_score_codex":0.097003214,"about_ca_topic_score_gemma":0.032961763,"teacher_disagreement_score":0.097003214,"about_ca_system_score_codex":0.0018527103,"about_ca_system_score_gemma":0.002027697,"threshold_uncertainty_score":0.19287717},"labels":[],"label_agreement":null}]}