{"meta":{"query_hash":"13e5c87ca650","filters":{"venue":"Gaoyuan qixiang"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/13e5c87ca650","api":"https://metacan.xera.ac/api/v1/cohort?venue=Gaoyuan+qixiang"},"results":[{"id":"W2354041896","doi":"","title":"Analysis on Climatic Disaster in Winter in Middle and High Latitude Regions of Northern Hemisphere","year":2012,"lang":"en","type":"article","venue":"Gaoyuan qixiang","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","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":"Winter storm; Climatology; Rossby wave; Snow; Jet stream; Subtropical ridge; Blocking (statistics); Polar vortex; Environmental science; Northern Hemisphere; Atmospheric sciences; Meteorology; Geology; Precipitation; Geography; Jet (fluid); Troposphere","score_opus":0.027837653007140074,"score_gpt":0.21974420484426604,"score_spread":0.19190655183712596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354041896","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":[0.9975255,0.00011191919,0.00012590784,0.0000308169,0.000007216986,0.0000067055007,0.0016127309,0.0000085387455,0.0005705364],"genre_scores_gemma":[0.997566,0.000105185136,0.00008556851,0.000009304665,0.000009970212,0.0000100827265,0.0020136908,0.0000016712918,0.00019852402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987364,0.000011590192,0.000013436988,0.000028263628,0.000033795022,0.000039156017],"domain_scores_gemma":[0.9997228,0.000026264595,0.00010556447,0.000013791204,0.000059279973,0.000072360664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020196529,0.0002073763,0.00020693781,0.0008539863,0.0003760807,0.00036619714,0.00015535952,0.00017160263,0.0007321764],"category_scores_gemma":[0.0003033208,0.0000752866,0.00025585198,0.0010170717,0.00014252872,0.00021254359,0.00024044908,0.00015224352,0.00008148847],"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":[0.00006656945,0.00001604235,0.99224925,0.000031764856,0.000035523146,0.0003055159,0.00038173085,0.00070868223,0.0008486068,0.00006607264,0.0008233187,0.0044670887],"study_design_scores_gemma":[0.0000010498218,0.0000114046725,0.9986186,0.000002439743,0.0000063941293,0.000040306717,0.00038216685,0.0004826579,0.00007018437,0.000015913962,0.0003670693,0.0000019503261],"about_ca_topic_score_codex":0.02017983,"about_ca_topic_score_gemma":0.039021745,"teacher_disagreement_score":0.02017983,"about_ca_system_score_codex":0.0005044297,"about_ca_system_score_gemma":0.00033630565,"threshold_uncertainty_score":0.040124774},"labels":[],"label_agreement":null},{"id":"W2357651257","doi":"","title":"Change Trends and Causes in Sunshine Duration and Visibility over Yunnan-Guizhou Plateau in Recent 45 Years","year":2010,"lang":"en","type":"article","venue":"Gaoyuan qixiang","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Environment and Climate Change Canada","funders":"","keywords":"Sunshine duration; Cloud cover; Visibility; Plateau (mathematics); Environmental science; Atmospheric sciences; Climatology; Troposphere; Duration (music); Meteorology; Cloud computing; Relative humidity; Geography; Geology; Mathematics; Physics","score_opus":0.026444947270989654,"score_gpt":0.2508951565869976,"score_spread":0.22445020931600798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357651257","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":[0.99941206,0.00012296751,0.000044572083,0.000014377942,0.0000010491129,0.000001362521,0.0002598034,0.000004638356,0.00013920377],"genre_scores_gemma":[0.9992829,0.000060785474,0.000033334858,0.000003787393,0.0000021252908,0.0000020381613,0.00050390046,6.887199e-7,0.00011039068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989235,0.000010581385,0.0000112872685,0.000033228385,0.000022561611,0.000030014076],"domain_scores_gemma":[0.99966395,0.000044421275,0.00014001917,0.000016970434,0.00008155362,0.000053140422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018004894,0.00012261144,0.00010928848,0.000713353,0.00016704017,0.0002692981,0.00014262865,0.0001500397,0.00050446455],"category_scores_gemma":[0.00042786653,0.00007397226,0.00019502817,0.0009901541,0.00012804603,0.00016131645,0.00018806693,0.000107168744,0.00005334981],"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":[0.000026859423,0.0000039678944,0.9953465,0.000011930647,0.000037928177,0.000096077,0.00017769774,0.00021703674,0.0012676887,0.000024558503,0.0000736806,0.002716058],"study_design_scores_gemma":[4.060703e-7,0.0000042429306,0.9996722,6.737715e-7,0.000004039288,0.000016811326,0.000037920698,0.0001233351,0.000036691625,0.0000021490318,0.00010091934,7.1608883e-7],"about_ca_topic_score_codex":0.06769415,"about_ca_topic_score_gemma":0.10904132,"teacher_disagreement_score":0.06769415,"about_ca_system_score_codex":0.00053861825,"about_ca_system_score_gemma":0.00025831704,"threshold_uncertainty_score":0.13460028},"labels":[],"label_agreement":null},{"id":"W2364627804","doi":"","title":"A Simple Study on Relation of Winter-Spring Greenland Sea Ice Chang with Air Temperature/Precipitation in Early Summer of China","year":2003,"lang":"en","type":"article","venue":"Gaoyuan qixiang","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","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":"Climatology; Arctic ice pack; Empirical orthogonal functions; Sea ice; Polar vortex; Northern Hemisphere; North Atlantic oscillation; Arctic oscillation; Geology; Cryosphere; Spring (device); Oceanography; Antarctic sea ice; Arctic; Precipitation; Sea surface temperature; Arctic sea ice decline; Geography; Troposphere; Meteorology","score_opus":0.011675073550079077,"score_gpt":0.2176591760237991,"score_spread":0.20598410247372004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2364627804","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":[0.99857414,0.00017357703,0.00019833897,0.000041241765,0.0000044658536,0.0000040568484,0.00040231037,0.000008346449,0.00059335347],"genre_scores_gemma":[0.99884206,0.000100890946,0.00010307843,0.000013546375,0.0000064682713,0.0000037973944,0.0006330081,0.000002755979,0.00029446004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999897,0.000012940483,0.000009082669,0.000031670326,0.000014986005,0.000034311717],"domain_scores_gemma":[0.99943286,0.0001485604,0.00015822606,0.000041608866,0.000112785376,0.000105934974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035165861,0.00026115697,0.00017852239,0.00080742856,0.0002280098,0.00037778355,0.00016677486,0.00017662064,0.0008326422],"category_scores_gemma":[0.00091049407,0.000084142666,0.00027021806,0.0011721507,0.00017379486,0.00028890377,0.0002541266,0.00016866642,0.00014041034],"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":[0.000039865947,0.000009447498,0.9943083,0.000014099007,0.00004758973,0.00008170894,0.00010470954,0.00060029223,0.0012335529,0.00009975202,0.00012338058,0.0033373858],"study_design_scores_gemma":[7.41408e-7,0.0000075320163,0.9989981,0.0000014078445,0.000007910471,0.000019995321,0.00004676934,0.0006333464,0.000097267664,0.000021125794,0.00016471067,0.0000011741292],"about_ca_topic_score_codex":0.03315521,"about_ca_topic_score_gemma":0.049512636,"teacher_disagreement_score":0.03315521,"about_ca_system_score_codex":0.00041768388,"about_ca_system_score_gemma":0.00052433764,"threshold_uncertainty_score":0.065924466},"labels":[],"label_agreement":null},{"id":"W2368133312","doi":"","title":"Application of Wind Energy Simulation Toolkit(WEST) to Wind Energy Numerical Simulation of China","year":2008,"lang":"en","type":"article","venue":"Gaoyuan qixiang","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":3,"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":"China; Meteorology; Plateau (mathematics); Wind power; Computer simulation; Wind speed; Environmental science; Climatology; Geography; Geology; Simulation; Computer science; Engineering; Mathematics; Archaeology","score_opus":0.012103883534523548,"score_gpt":0.23833518541020868,"score_spread":0.22623130187568513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368133312","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30972818,0.00065934577,0.599715,0.00057962287,0.00039449343,0.0006092197,0.010158282,0.03161136,0.046544444],"genre_scores_gemma":[0.7304801,0.0008980246,0.24385795,0.00014342587,0.00004068813,0.00076612906,0.010447863,0.002614343,0.010751624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997733,0.000054793967,0.00003368574,0.000024280846,0.00007784043,0.000036052188],"domain_scores_gemma":[0.9996025,0.0000978559,0.000027308066,0.000054615848,0.00017728456,0.000040449104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006092187,0.00080073037,0.00056268333,0.00053571264,0.000529239,0.00056478236,0.00093292305,0.00023674042,0.003232208],"category_scores_gemma":[0.0015155757,0.00045673695,0.0005246461,0.0008811317,0.00017446431,0.0007028376,0.00080717856,0.0005475046,0.00048841105],"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":[0.00018265795,0.00008715349,0.015496961,0.00024375596,0.00012863068,0.00035584453,0.00027990396,0.89400434,0.005695153,0.010402897,0.01303892,0.06008386],"study_design_scores_gemma":[0.00004224791,0.000013673742,0.0015005386,0.000007831745,0.000012110152,0.00001669248,0.00002604298,0.9907212,0.0012765364,0.0009626393,0.0054099113,0.000010536252],"about_ca_topic_score_codex":0.13086192,"about_ca_topic_score_gemma":0.09823221,"teacher_disagreement_score":0.13086192,"about_ca_system_score_codex":0.0007458594,"about_ca_system_score_gemma":0.002724112,"threshold_uncertainty_score":0.2602005},"labels":[],"label_agreement":null},{"id":"W2374473482","doi":"","title":"Interpretation of Snow-Covered Ground ObjectsUsing RADARSAT Image","year":2005,"lang":"en","type":"article","venue":"Gaoyuan qixiang","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","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":"Remote sensing; Snow; Radar; Geology; Radar imaging; Brightness; Environmental science; Geography; Computer science; Meteorology; Telecommunications","score_opus":0.014409069749980548,"score_gpt":0.2228852004729224,"score_spread":0.20847613072294185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2374473482","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":[0.95052046,0.00045887116,0.042969514,0.000052767966,0.00003554644,0.00004639991,0.0005607436,0.00027546374,0.0050801514],"genre_scores_gemma":[0.97654086,0.0004152889,0.020485908,0.000024652863,0.000021982885,0.000010734199,0.0010947167,0.000014597857,0.0013912838],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99994504,0.000007762838,0.000004161421,0.000011256538,0.000021042259,0.000010603763],"domain_scores_gemma":[0.99995387,0.0000053226568,0.000012650481,0.0000070546707,0.00001709817,0.0000040150558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011594753,0.00028048843,0.00012763754,0.0009936752,0.00012398111,0.00031887816,0.00013113767,0.0001287024,0.0008047367],"category_scores_gemma":[0.0001538881,0.000068671856,0.00011950407,0.0005208947,0.000077661905,0.0002845497,0.0001355602,0.000054622244,0.00020721581],"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":[0.0004373482,0.00008173339,0.17202443,0.00038382728,0.00011007843,0.0017654842,0.0012365024,0.009631328,0.29147995,0.0018636492,0.0023999207,0.5185857],"study_design_scores_gemma":[0.00003852514,0.00025662998,0.824403,0.00006794234,0.00020827308,0.0019148582,0.0025450697,0.06694538,0.08389997,0.0016981247,0.017985445,0.000036750742],"about_ca_topic_score_codex":0.0013056726,"about_ca_topic_score_gemma":0.0026211168,"teacher_disagreement_score":0.0013056726,"about_ca_system_score_codex":0.0000775597,"about_ca_system_score_gemma":0.00008151785,"threshold_uncertainty_score":0.0026920438},"labels":[],"label_agreement":null}]}