{"meta":{"query_hash":"c5a741c3e404","filters":{"topic":"Remote Sensing and Land Use"},"cohort_total":511,"direct_labels_cover":0,"predictions_cover":511,"exported":511,"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/c5a741c3e404","api":"https://metacan.xera.ac/api/v1/cohort?topic=Remote+Sensing+and+Land+Use"},"results":[{"id":"W11246810","doi":"10.1111/0031-868x.00175","title":"Book Reviews","year":2001,"lang":"en","type":"article","venue":"The Photogrammetric Record","topic":"Remote Sensing and Land Use","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":"Cartography; Remote sensing; Geography; Landform; Field (mathematics); Computer science; Computer graphics (images); Mathematics","score_opus":0.028669188755902214,"score_gpt":0.232481153859995,"score_spread":0.20381196510409277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W11246810","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00050687406,0.08011095,0.0012649641,0.013324038,0.02695799,0.00015376124,0.003509757,0.0010458357,0.8731259],"genre_scores_gemma":[0.0014598477,0.027222421,0.00096043857,0.0034150425,0.0050919177,0.00006048209,0.002403039,0.00034017852,0.9590466],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989078,0.000082399856,0.000060278817,0.00023928248,0.0006163022,0.00009395304],"domain_scores_gemma":[0.99801,0.000240598,0.000090113834,0.00014991705,0.0011514656,0.0003580349],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00058836705,0.0011941525,0.001281657,0.0033287546,0.0014209286,0.007189114,0.0020240971,0.0022877401,0.59518594],"category_scores_gemma":[0.0035196403,0.00048542712,0.0007347678,0.0047708573,0.000583442,0.004007323,0.0019166351,0.0020914136,0.5802663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009013206,0.000015265201,0.00005728151,0.00028539027,0.0000030411404,0.000047766014,0.000036876514,0.00005112556,0.00011343988,0.0027224757,0.9079435,0.088714816],"study_design_scores_gemma":[0.0000016144576,0.0000039163187,0.00006557809,0.00011307647,0.0000014396867,0.00006151421,0.000023772021,0.000009986651,0.000016686066,0.00038249666,0.9993175,0.00000241433],"about_ca_topic_score_codex":0.0033737703,"about_ca_topic_score_gemma":0.0061041606,"teacher_disagreement_score":0.59518594,"about_ca_system_score_codex":0.0018684026,"about_ca_system_score_gemma":0.0036473868,"threshold_uncertainty_score":0.5774181},"labels":[],"label_agreement":null},{"id":"W1246568850","doi":"10.11728/cjss2008.05.370","title":"Progress for Spaceborne Microwave Remote Sensing in China","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geostationary orbit; Remote sensing; Satellite; Environmental science; Microwave; Meteorology; China; Meteorological satellite; Geography; Computer science; Aerospace engineering; Telecommunications; Engineering","score_opus":0.017832113555853,"score_gpt":0.21354229270166653,"score_spread":0.1957101791458135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1246568850","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":[0.3763823,0.3181751,0.12667225,0.0276605,0.004263733,0.00038958195,0.0036782958,0.0018519461,0.14092635],"genre_scores_gemma":[0.69292235,0.16784628,0.08682771,0.0041234014,0.002966449,0.00027230976,0.0058893953,0.00014141598,0.039010756],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994287,0.00012011158,0.00003853945,0.00013593782,0.00021275906,0.00006401724],"domain_scores_gemma":[0.9988121,0.0002183708,0.00013376494,0.00017584547,0.00055745285,0.00010250746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030099684,0.0006700133,0.00032668238,0.0010755449,0.00034788184,0.00082667894,0.00049091165,0.00035249977,0.0035630066],"category_scores_gemma":[0.0011676346,0.00013965205,0.00035150294,0.0019135845,0.00038477816,0.0015392321,0.00075726083,0.0006642935,0.00069005066],"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":[0.00013735163,0.00005534482,0.032397635,0.0010975662,0.000105881736,0.0001823223,0.00040604064,0.0034942676,0.028040411,0.015982712,0.020475158,0.89762527],"study_design_scores_gemma":[0.000072763876,0.00047016575,0.18297079,0.00047390262,0.0002118488,0.0005610244,0.0007499076,0.010432119,0.021076685,0.005300725,0.77759993,0.000080143],"about_ca_topic_score_codex":0.011705039,"about_ca_topic_score_gemma":0.009503063,"teacher_disagreement_score":0.011705039,"about_ca_system_score_codex":0.0010759712,"about_ca_system_score_gemma":0.0028232825,"threshold_uncertainty_score":0.023273826},"labels":[],"label_agreement":null},{"id":"W1479149864","doi":"","title":"LibGuides. GEOG 498: Housing Issues in Prince George. Other information sources.","year":2012,"lang":"en","type":"libguides","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"George (robot); Political science; Computer science; Artificial intelligence","score_opus":0.015257910125469041,"score_gpt":0.22603619114172774,"score_spread":0.2107782810162587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1479149864","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004639611,0.0054315072,0.00024714993,0.00426171,0.00071863126,0.00018350482,0.53106356,0.0021000311,0.45135427],"genre_scores_gemma":[0.025480868,0.009920349,0.001475878,0.0014448124,0.0010395991,0.00046346878,0.359533,0.0011158887,0.5995262],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99989367,0.000013975415,0.000014296222,0.00001232141,0.000040620056,0.000025133615],"domain_scores_gemma":[0.999209,0.00016189212,0.00010737073,0.000033475113,0.00031819055,0.00017016739],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002247382,0.0009238142,0.00033940628,0.0049401904,0.00069457217,0.00129811,0.00082565163,0.0013416673,0.34695882],"category_scores_gemma":[0.0010709551,0.0004401512,0.00018930019,0.007689048,0.00023422916,0.0014386813,0.0013372954,0.00069906533,0.11966133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020932772,0.000013017736,0.0012463446,0.00033455118,0.0000025431414,0.00005879392,0.000106567684,0.000039635856,0.000041121915,0.00028393182,0.9674751,0.030377438],"study_design_scores_gemma":[0.000028898552,0.0000148323825,0.028402643,0.0007994217,0.000007419335,0.00013398234,0.00068692537,0.00013711896,0.00023522347,0.00045590434,0.96908015,0.000017360468],"about_ca_topic_score_codex":0.0868624,"about_ca_topic_score_gemma":0.14628007,"teacher_disagreement_score":0.9131376,"about_ca_system_score_codex":0.0008703272,"about_ca_system_score_gemma":0.0014455891,"threshold_uncertainty_score":0.931484},"labels":[],"label_agreement":null},{"id":"W1514425640","doi":"10.3968/j.css.1923669720130904.2610","title":"Poverty Alleviation and Development Path Analysis: A Case Study on Rocky Desertification Area of in Yunnan Guangxi Guizhou Province in China","year":2013,"lang":"en","type":"article","venue":"Canadian social science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Desertification; China; Poverty; Geography; Sustainable development; Bottleneck; Environmental protection; Socioeconomics; Economic growth; Ecology","score_opus":0.02009872189660773,"score_gpt":0.22382457243364604,"score_spread":0.20372585053703832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514425640","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":[0.99873334,0.000024930068,0.00022553274,0.000092363836,7.9848365e-7,0.000019473542,0.00007192089,0.00000333059,0.0008282537],"genre_scores_gemma":[0.99874157,0.000059761118,0.0006562479,0.000008762365,6.5995584e-7,0.000017785713,0.00007144207,0.0000012756844,0.00044247633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973017,0.00010612698,0.000007990296,0.000024010595,0.000033982844,0.000097681615],"domain_scores_gemma":[0.9995478,0.00019565898,0.000076659904,0.00002401464,0.000072561656,0.00008335029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005533943,0.00028734238,0.00020163339,0.0014023287,0.0019922005,0.00056457706,0.00053408573,0.00043713953,0.0017047769],"category_scores_gemma":[0.0009951001,0.000115732015,0.00041537758,0.0029264677,0.00067378517,0.00050122704,0.00074035354,0.00034747215,0.000046721158],"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":[0.00020548888,0.00054411887,0.85633737,0.00018346342,0.00016551871,0.021182073,0.029013207,0.03046511,0.0017357359,0.011127721,0.0021470343,0.046893258],"study_design_scores_gemma":[0.00008740188,0.00026176678,0.78831166,0.00007939898,0.00013049111,0.0015285191,0.12338084,0.07314962,0.0012456115,0.0040387483,0.0077201617,0.00006585282],"about_ca_topic_score_codex":0.25410852,"about_ca_topic_score_gemma":0.4008312,"teacher_disagreement_score":0.25410852,"about_ca_system_score_codex":0.004689223,"about_ca_system_score_gemma":0.0031407077,"threshold_uncertainty_score":0.5052589},"labels":[],"label_agreement":null},{"id":"W1557740334","doi":"","title":"Constructing City With Regional Culture, Cultivating New Trend With Urban Landscape: Study on the Cultural Construction of Chongqing's Urban Landscape","year":2014,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Urban landscape; Cultural landscape; Ecological civilization; Civilization; Urban culture; Landscape design; Geography; Urban construction; Resource (disambiguation); Landscape archaeology; Environmental planning; Environmental resource management; Civil engineering; Archaeology; China; Environmental science; Engineering","score_opus":0.01868772701543897,"score_gpt":0.24840123265586223,"score_spread":0.22971350564042325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557740334","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":[0.99336183,0.0000873684,0.00021807686,0.00041449576,0.0000053551844,0.000017047625,0.000011305109,0.0000021793605,0.0058824318],"genre_scores_gemma":[0.997097,0.00016310575,0.0002963073,0.00004416176,0.0000024997944,0.000008580176,0.000013870825,0.0000029492444,0.0023713897],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9997818,0.00008335916,0.000008252053,0.000026071015,0.000031824107,0.000068799745],"domain_scores_gemma":[0.9998323,0.00002945481,0.000033786724,0.000013351005,0.000022399061,0.00006875908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005816593,0.00018929297,0.00011004077,0.00050281384,0.0036221568,0.0019541217,0.0004389976,0.00028774072,0.0021504264],"category_scores_gemma":[0.0005017591,0.00018523971,0.00019807463,0.0012352484,0.0013976863,0.0014215424,0.0013710944,0.0005139731,0.000094445866],"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":[0.000033084238,0.00026961154,0.16613126,0.00031143244,0.000020880181,0.002143036,0.74590635,0.00045301922,0.0037793012,0.02150531,0.004448347,0.054998446],"study_design_scores_gemma":[0.0000059950376,0.00006674469,0.21038568,0.00009331088,0.000025748815,0.00042198907,0.7382823,0.0006018938,0.00045545035,0.0011780256,0.048463155,0.000019641455],"about_ca_topic_score_codex":0.020286683,"about_ca_topic_score_gemma":0.078249834,"teacher_disagreement_score":0.020286683,"about_ca_system_score_codex":0.0028206848,"about_ca_system_score_gemma":0.002416997,"threshold_uncertainty_score":0.040337205},"labels":[],"label_agreement":null},{"id":"W156004622","doi":"10.5353/th_b5131912","title":"To analyze urban sprawl using remote sensing : a case study of London, Ontario, Canada","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Remote Sensing and Land Use","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":"Urban sprawl; Geography; Regional science; Environmental planning; Cartography; Remote sensing; Urban planning; Civil engineering; Engineering","score_opus":0.01611766611746748,"score_gpt":0.23155369294556902,"score_spread":0.21543602682810153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W156004622","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":[0.9782201,0.00095844205,0.0012518456,0.00091001944,0.0000141285645,0.00024383108,0.0022387898,0.000039498336,0.016123328],"genre_scores_gemma":[0.9843891,0.0012646792,0.003153178,0.0001647724,0.000006193073,0.00005509554,0.0013075668,0.000029348637,0.009629929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992829,0.00008224682,0.000031739983,0.000074567666,0.00029980042,0.00022874222],"domain_scores_gemma":[0.9989581,0.00018910774,0.00010059367,0.000047356214,0.0005551061,0.00014967986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052759604,0.00051318033,0.000283724,0.0021869298,0.0035295598,0.0015408085,0.0009627234,0.00055485737,0.0015858366],"category_scores_gemma":[0.0012248999,0.0002341729,0.00046941906,0.0063765,0.001344966,0.00047255075,0.00082070247,0.00042148712,0.00021584607],"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":[0.00035453838,0.0004939795,0.7380951,0.0011225602,0.00025319622,0.03249514,0.056600265,0.016806949,0.00855141,0.0065053934,0.01691405,0.12180743],"study_design_scores_gemma":[0.000027665954,0.00011506393,0.8221125,0.0002278355,0.00010922642,0.0012399434,0.122468695,0.0184412,0.0016643933,0.00051992235,0.03295118,0.00012231496],"about_ca_topic_score_codex":0.9922482,"about_ca_topic_score_gemma":0.9974809,"teacher_disagreement_score":0.033582363,"about_ca_system_score_codex":0.033582363,"about_ca_system_score_gemma":0.022690069,"threshold_uncertainty_score":0.24365819},"labels":[],"label_agreement":null},{"id":"W1595860885","doi":"10.5772/4839","title":"Compact Parallel Optical Correlator for Face Recognition, and its Application","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Computer science; Optical correlator; Facial recognition system; Identification (biology); Photonics; Face (sociological concept); Artificial intelligence; Fourier transform; Software; Process (computing); Biometrics; Fingerprint recognition; Fingerprint (computing); Computer hardware; Computer vision; Pattern recognition (psychology); Optics; Physics","score_opus":0.06424917174355639,"score_gpt":0.2475461204512636,"score_spread":0.18329694870770719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595860885","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":[0.041550066,0.00925177,0.9216775,0.0008656,0.0010192152,0.00030899377,0.00022238822,0.0029825503,0.022121895],"genre_scores_gemma":[0.43292227,0.0050752657,0.53405416,0.0011167575,0.0007229842,0.0004093362,0.0003905161,0.00013066288,0.025178006],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932146,0.0000896885,0.000024872274,0.00015904105,0.00036676566,0.00003808636],"domain_scores_gemma":[0.9993142,0.00013150764,0.00005597662,0.00006819638,0.00039737514,0.00003266701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009045015,0.00046448925,0.00043335152,0.0013367803,0.0005065468,0.0005393485,0.0008587083,0.0009797711,0.004441256],"category_scores_gemma":[0.0013169603,0.0002932646,0.0003218717,0.0013719564,0.00042984556,0.00082043855,0.0005347675,0.00076712895,0.0013754363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053903507,0.0002974462,0.0025661015,0.00048441318,0.00007458361,0.0005143043,0.00020198371,0.014967167,0.1750498,0.018469114,0.015953163,0.77088296],"study_design_scores_gemma":[0.000113444345,0.0007335167,0.004930218,0.00017079034,0.0001590663,0.0035138845,0.00012954973,0.6468299,0.25056106,0.0057079783,0.0869312,0.00021937214],"about_ca_topic_score_codex":0.0022672843,"about_ca_topic_score_gemma":0.0021922595,"teacher_disagreement_score":0.004441256,"about_ca_system_score_codex":0.0008488961,"about_ca_system_score_gemma":0.001328615,"threshold_uncertainty_score":0.014857471},"labels":[],"label_agreement":null},{"id":"W1607425258","doi":"","title":"Multi-parameter prediction for chaotic time series based on least squares support vector regression","year":2013,"lang":"en","type":"article","venue":"Chinese Control Conference","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"University of Alberta","funders":"","keywords":"Chaotic; Series (stratigraphy); Time series; Computer science; Support vector machine; Reliability (semiconductor); Least-squares function approximation; Algorithm; Control theory (sociology); Mathematics; Machine learning; Artificial intelligence; Statistics","score_opus":0.014530098301241398,"score_gpt":0.21914254662006882,"score_spread":0.2046124483188274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607425258","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":[0.061076548,0.00025000938,0.93734145,0.00011012836,0.000037414906,0.000023333647,0.000050057417,0.0005418357,0.00056920137],"genre_scores_gemma":[0.9221572,0.00028509434,0.07579488,0.00002837786,0.000035901074,0.000071357106,0.00017675881,0.00006123098,0.0013891117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957496,0.00011197642,0.000028195565,0.000121963676,0.00012510864,0.000037763348],"domain_scores_gemma":[0.9992144,0.00045771143,0.00009170818,0.00006535706,0.00015183978,0.000018879571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079908886,0.0006373418,0.00075389753,0.0005487292,0.0002621796,0.00052168674,0.0006288757,0.0006393041,0.00079843734],"category_scores_gemma":[0.0032861019,0.00028486783,0.00063290104,0.00070426875,0.00026168933,0.0009768123,0.0003589997,0.0010850282,0.00026339648],"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":[0.00009350504,0.000062986495,0.0027813765,0.00010066971,0.00007406677,0.00012018714,0.000091010756,0.87003577,0.005877826,0.0026372385,0.0006239846,0.11750131],"study_design_scores_gemma":[0.0000013437208,0.000008657635,0.00016898038,0.0000011700207,0.0000021902038,0.0000062098425,0.0000023074995,0.9992042,0.00032482698,0.00022634749,0.000051132167,0.0000026235016],"about_ca_topic_score_codex":0.005395483,"about_ca_topic_score_gemma":0.0028419786,"teacher_disagreement_score":0.005395483,"about_ca_system_score_codex":0.00028578565,"about_ca_system_score_gemma":0.00046145587,"threshold_uncertainty_score":0.010728121},"labels":[],"label_agreement":null},{"id":"W165456439","doi":"10.71781/13462","title":"Applicabilité de la texture couleur à la différentiation des classes d’occupation du territoire sur des images satellitales multispectrales","year":2010,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Remote Sensing and Land Use","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":"Art; Humanities","score_opus":0.016573466024391192,"score_gpt":0.2737701681273166,"score_spread":0.2571967021029254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W165456439","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":[0.7110516,0.0006535335,0.2763927,0.00022362206,0.00008271184,0.000094478266,0.000696388,0.0021424266,0.008662525],"genre_scores_gemma":[0.90833753,0.00020637327,0.08739597,0.000033858934,0.000026520176,0.000051972835,0.00045363928,0.00011707948,0.0033770108],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993087,0.00008579913,0.000024133225,0.00019610717,0.00024821353,0.00013697226],"domain_scores_gemma":[0.99863774,0.00067140977,0.00010956357,0.00008556198,0.00042983852,0.00006593645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088624563,0.00064187654,0.00049897825,0.0018724201,0.0002791021,0.0014722912,0.00044267083,0.0006159028,0.003847428],"category_scores_gemma":[0.0029643476,0.00027690717,0.00075254065,0.00096129486,0.00036611405,0.00060110074,0.00039593322,0.00043313368,0.0012237914],"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":[0.0009766818,0.0001456152,0.039614473,0.00040089767,0.00016586238,0.0001918996,0.0007631015,0.06354517,0.19165783,0.001596473,0.0013771268,0.69956493],"study_design_scores_gemma":[0.000051729276,0.00029139334,0.16432975,0.00008907673,0.00011145874,0.00045299623,0.0010522302,0.720794,0.103799716,0.0014654113,0.0074722003,0.00008990319],"about_ca_topic_score_codex":0.016348997,"about_ca_topic_score_gemma":0.012552666,"teacher_disagreement_score":0.016348997,"about_ca_system_score_codex":0.00052733964,"about_ca_system_score_gemma":0.00043952733,"threshold_uncertainty_score":0.032507658},"labels":[],"label_agreement":null},{"id":"W1751977091","doi":"10.3968/j.ans.1715787020080101.002","title":"Environment Geophysics on Environmental protection in China","year":2009,"lang":"en","type":"article","venue":"Advances in natural science/Advances in natural sciences","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Harm; China; Sustainable development; Desertification; Environmental pollution; Environmental planning; Natural resource economics; Pollution; Natural (archaeology); Flood myth; Natural resource; Environmental protection; Business; Environmental resource management; Environmental science; Geography; Political science; Ecology; Economics; Law","score_opus":0.004414022108595407,"score_gpt":0.22188674814184456,"score_spread":0.21747272603324916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1751977091","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":[0.543452,0.038217697,0.0010331427,0.07306281,0.0015036538,0.00007966072,0.0016310666,0.00016404818,0.34085593],"genre_scores_gemma":[0.9009011,0.013804761,0.00058232556,0.0047502695,0.00061485334,0.00003416481,0.0005947999,0.000017948492,0.07869977],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998802,0.000019053403,0.000007826805,0.000015733509,0.000035083456,0.000042058535],"domain_scores_gemma":[0.99984515,0.000023837527,0.00003033003,0.000012481106,0.000039118924,0.000049170158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024247571,0.0002054703,0.00010998936,0.0007216962,0.00093388,0.0008531871,0.00022596249,0.0006067716,0.006662986],"category_scores_gemma":[0.00039140208,0.00006093954,0.00012543281,0.0011107466,0.0005496937,0.00045950097,0.0010897082,0.00033435668,0.00022596335],"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":[0.0002152801,0.00014659799,0.26830226,0.0011646098,0.00011555207,0.0056196516,0.0062609287,0.0039696344,0.0055365358,0.21528511,0.16194838,0.3314354],"study_design_scores_gemma":[0.000045798828,0.00006325164,0.48395315,0.00017311666,0.000037165257,0.00035712429,0.0014826154,0.0011399079,0.0005532384,0.014267988,0.497907,0.000019592222],"about_ca_topic_score_codex":0.055503353,"about_ca_topic_score_gemma":0.10218563,"teacher_disagreement_score":0.055503353,"about_ca_system_score_codex":0.0016020499,"about_ca_system_score_gemma":0.005122769,"threshold_uncertainty_score":0.11036062},"labels":[],"label_agreement":null},{"id":"W1921364029","doi":"10.11366/sokuchi1954.47.380","title":"Climatic Effects Measured During the Eclipse of August 11 1999 in Europe.","year":2001,"lang":"en","type":"article","venue":"journal of the geodetic society of japan","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Eclipse; Environmental science; Climatology; Physical geography; Geography; Geology; Physics; Astronomy","score_opus":0.011092777175061748,"score_gpt":0.19764508376082063,"score_spread":0.1865523065857589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1921364029","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":[0.9945821,0.00021947501,0.00005996898,0.000058420184,0.000034015735,0.0000049243517,0.003760826,0.000008586528,0.0012715918],"genre_scores_gemma":[0.9937,0.00014137647,0.000058436377,0.000035486442,0.000033443743,0.0000076151646,0.0056772167,0.000008604706,0.00033786485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981755,0.00003293399,0.000017443585,0.00005016162,0.000020583226,0.00006135325],"domain_scores_gemma":[0.9992411,0.0001335366,0.0002485032,0.000044812325,0.00018733248,0.00014466507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004686514,0.00040352537,0.00035462275,0.0007294853,0.00039546585,0.0005956346,0.00028723804,0.00059423666,0.0011693009],"category_scores_gemma":[0.0008463681,0.00013093113,0.00023791935,0.0010971377,0.00019542429,0.00032475524,0.00047045766,0.00035538102,0.00038684224],"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":[0.0017281937,0.00018396637,0.98094374,0.000109820765,0.00030411017,0.00044191384,0.00063323695,0.0013001811,0.004704081,0.00018285308,0.0037796353,0.005688232],"study_design_scores_gemma":[0.0000047201456,0.000019732148,0.99893457,0.00000389185,0.000012481459,0.000027125316,0.00008419519,0.00008134067,0.00009683555,0.0000051046927,0.0007280822,0.0000018606055],"about_ca_topic_score_codex":0.023671683,"about_ca_topic_score_gemma":0.050715394,"teacher_disagreement_score":0.023671683,"about_ca_system_score_codex":0.0004858241,"about_ca_system_score_gemma":0.00026334226,"threshold_uncertainty_score":0.04706782},"labels":[],"label_agreement":null},{"id":"W1927868772","doi":"","title":"일 최고 및 최저 기온에 대한 UMOS (Updateable Model Output Statistics) 시스템 개발","year":2010,"lang":"ko","type":"article","venue":"대기","topic":"Remote Sensing and Land Use","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":"Data assimilation; Statistics; Weather Research and Forecasting Model; Meteorology; Mathematics; Global Forecast System; Mean squared error; Climatology; Projection (relational algebra); Environmental science; Geography; Algorithm; Geology","score_opus":0.01660295542351325,"score_gpt":0.2184183518467015,"score_spread":0.20181539642318824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1927868772","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":[0.16186146,0.00028121297,0.7815277,0.0003366754,0.00030391614,0.00029307912,0.018102739,0.025944725,0.011348474],"genre_scores_gemma":[0.72495675,0.0002836956,0.2402023,0.00009587276,0.0000920835,0.00037841525,0.024901219,0.0011157464,0.0079739],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953365,0.0000832549,0.00003785568,0.00008927587,0.00021883284,0.000037022157],"domain_scores_gemma":[0.99925345,0.00006836394,0.00014443485,0.00012148872,0.0003868902,0.000025244319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008124645,0.00066979334,0.00036540447,0.00085721107,0.00025853238,0.0008881404,0.000757175,0.0002171811,0.0017464502],"category_scores_gemma":[0.0020273342,0.0003252702,0.00044343123,0.001069024,0.0002170629,0.0009441966,0.00040561688,0.0005007763,0.0009474471],"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":[0.0005082993,0.00016495217,0.07728443,0.00028273583,0.00029205516,0.00019567064,0.00022230721,0.4182974,0.025601616,0.014892373,0.03384027,0.42841792],"study_design_scores_gemma":[0.000030528354,0.00005798426,0.023070477,0.000022756109,0.00006048899,0.00004732538,0.000041952917,0.93242776,0.01796791,0.00213695,0.0240534,0.00008244433],"about_ca_topic_score_codex":0.042794306,"about_ca_topic_score_gemma":0.047643952,"teacher_disagreement_score":0.042794306,"about_ca_system_score_codex":0.00077306695,"about_ca_system_score_gemma":0.0014581833,"threshold_uncertainty_score":0.08509046},"labels":[],"label_agreement":null},{"id":"W1941612930","doi":"10.5430/jms.v6n3p21","title":"An Empirical Study of Alxa League Energy Consumption and Environmental Pollution in China","year":2015,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Energy consumption; China; Environmental pollution; Consumption (sociology); Pollution; Natural resource economics; League; Environmental science; Business; Environmental economics; Environmental planning; Environmental protection; Economics; Geography; Engineering; Ecology","score_opus":0.030282623085258847,"score_gpt":0.2531327157986539,"score_spread":0.22285009271339504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1941612930","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":[0.9994056,0.000021063423,0.000014279136,0.000060928523,0.000001002113,0.0000036497163,0.00004031483,0.0000011329574,0.00045216744],"genre_scores_gemma":[0.99946266,0.00003090243,0.000017621247,0.00001528396,0.0000018506391,0.000004448734,0.00011520583,6.58472e-7,0.00035120067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993956,0.00014546597,0.000039534523,0.00008827872,0.00014011515,0.00019095444],"domain_scores_gemma":[0.9973356,0.0006451092,0.0007738546,0.00015979317,0.00038765528,0.0006979057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085350877,0.00022923005,0.0002397952,0.0011977707,0.0010932835,0.0012014032,0.0007052876,0.0004198952,0.001895615],"category_scores_gemma":[0.002030992,0.00017147996,0.00038503463,0.0021603548,0.00089719536,0.0008899863,0.0010147605,0.0006186969,0.00017760333],"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":[0.000025649524,0.0001362971,0.99499375,0.000008926309,0.00003055677,0.00018660739,0.0022444113,0.00022819328,0.00010679467,0.00037794502,0.00027540015,0.001385474],"study_design_scores_gemma":[0.000004097142,0.000050642844,0.9906845,0.0000063805255,0.000009145321,0.000021714784,0.0071829404,0.0014243851,0.000054312466,0.000049069236,0.00050732587,0.000005546188],"about_ca_topic_score_codex":0.1590321,"about_ca_topic_score_gemma":0.20598255,"teacher_disagreement_score":0.1590321,"about_ca_system_score_codex":0.0030976832,"about_ca_system_score_gemma":0.0016972311,"threshold_uncertainty_score":0.3162129},"labels":[],"label_agreement":null},{"id":"W1956794847","doi":"10.3968/j.ccc.1923670020120803.3025","title":"The Creations and Research in the Regional Landscape Spirit of Heilongjiang Province","year":2012,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Civilization; Ethnic group; Geography; Cultural landscape; Natural (archaeology); Ecological civilization; Subject (documents); Ethnology; History; Ancient history; Archaeology; Anthropology; Sociology","score_opus":0.08242393808568607,"score_gpt":0.36503033681047764,"score_spread":0.28260639872479154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1956794847","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":[0.9513085,0.0007596852,0.00036092012,0.0019472251,0.00003993751,0.000012588895,0.00003398496,0.0000058874803,0.045531344],"genre_scores_gemma":[0.994728,0.00023228358,0.00016710139,0.00004144527,0.000005721932,0.0000023893087,0.000008440145,0.0000013188626,0.0048132804],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9998079,0.000069472415,0.000006285843,0.00002507668,0.00003220576,0.000059130085],"domain_scores_gemma":[0.99982136,0.000034462984,0.000035420293,0.000014386794,0.000022062852,0.00007235573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006445773,0.000088476634,0.00005734476,0.00037250645,0.0019834144,0.0015929668,0.0001571453,0.000106771025,0.0022086452],"category_scores_gemma":[0.0003555679,0.000059020316,0.000063655534,0.0006751392,0.0014021738,0.0005989738,0.0008023156,0.0002865179,0.000057688827],"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":[0.00015260368,0.000099488745,0.23860481,0.0002606461,0.000035279747,0.0018261813,0.40720683,0.00042034333,0.007753821,0.13808808,0.008783959,0.19676799],"study_design_scores_gemma":[0.000015670008,0.00007639265,0.5642595,0.00014667663,0.000023288114,0.00051204645,0.22379394,0.0007233763,0.00095919485,0.0054110824,0.20405924,0.000019560426],"about_ca_topic_score_codex":0.03257533,"about_ca_topic_score_gemma":0.08196172,"teacher_disagreement_score":0.03257533,"about_ca_system_score_codex":0.0023239562,"about_ca_system_score_gemma":0.0019844652,"threshold_uncertainty_score":0.06477147},"labels":[],"label_agreement":null},{"id":"W1963788158","doi":"10.5539/jgg.v2n1p93","title":"A Typical Agricultural Areas of China -Dezhou City’s Land use Structure Changes Based on Past Decade Data","year":2010,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Land use; China; Index (typography); Geography; Cultivated land; Agriculture; Land use, land-use change and forestry; Agricultural land; Scale (ratio); Physical geography; Environmental science; Agricultural economics; Cartography; Civil engineering","score_opus":0.012494098972591752,"score_gpt":0.21233224500304573,"score_spread":0.19983814603045397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963788158","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":[0.9970656,0.00007744364,0.00018694656,0.000014745308,0.0000017969577,0.000009281213,0.0019159454,0.000009642269,0.0007186262],"genre_scores_gemma":[0.9962509,0.00008022715,0.00022491874,0.0000040611553,0.0000012311818,0.000011456233,0.002652246,0.0000011680777,0.0007738849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999902,0.000009170623,0.000011351522,0.000030246887,0.000023109867,0.000024115956],"domain_scores_gemma":[0.9998442,0.000022115959,0.00004247003,0.000015320564,0.00004340021,0.00003255008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015750383,0.00017514502,0.0001277123,0.0013518571,0.00030148,0.0002942283,0.00014611286,0.00008519331,0.00096206955],"category_scores_gemma":[0.00021881066,0.00011450631,0.00017487902,0.0025629275,0.00014921391,0.00016470856,0.00020815959,0.000074686875,0.000102389444],"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":[0.00006283981,0.000019209652,0.9824249,0.00005536964,0.00005820829,0.00026622048,0.00040651424,0.0018599087,0.002860268,0.0002444424,0.000689225,0.011053017],"study_design_scores_gemma":[0.0000020779037,0.0000098954615,0.99763143,0.000002045886,0.000009606151,0.000069980706,0.00016525955,0.00078640616,0.00024003633,0.000014426002,0.0010654677,0.0000032844011],"about_ca_topic_score_codex":0.047638305,"about_ca_topic_score_gemma":0.11658008,"teacher_disagreement_score":0.047638305,"about_ca_system_score_codex":0.00085592025,"about_ca_system_score_gemma":0.0005776539,"threshold_uncertainty_score":0.09472203},"labels":[],"label_agreement":null},{"id":"W1965181675","doi":"10.7901/2169-3358-2005-1-819","title":"APPLIED USE OF HIGH RESOLUTION IMAGERY FOR HUMAN SAFETY AND ENVIRONMENT IN SOUTH SUMATRA, INDONESIA","year":2005,"lang":"en","type":"article","venue":"International Oil Spill Conference Proceedings","topic":"Remote Sensing and Land Use","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; Vegetation (pathology); Environmental science; Synthetic aperture radar; Pixel; Geology; Computer science","score_opus":0.02518732848925045,"score_gpt":0.21632383634898297,"score_spread":0.19113650785973252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965181675","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":[0.98404974,0.00030318953,0.0030661677,0.00025943614,0.00003277215,0.00007820136,0.0024023883,0.00016357347,0.009644634],"genre_scores_gemma":[0.99378175,0.00014311205,0.0042828987,0.000029863926,0.0000072821485,0.000020170728,0.0007493924,0.0000140444745,0.0009715747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998627,0.00003805894,0.000008987732,0.000038560484,0.000032811924,0.000019026847],"domain_scores_gemma":[0.99980706,0.000048974445,0.000027062022,0.00002581476,0.000062610845,0.000028506125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029416097,0.00026004208,0.00012668279,0.0012196096,0.00020946866,0.0005161896,0.00020809112,0.00016463836,0.0015194858],"category_scores_gemma":[0.00046636458,0.000133638,0.00016910814,0.001031792,0.00020274111,0.0002838571,0.00024263341,0.00017197446,0.0003450829],"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":[0.0008610129,0.00071295677,0.49689057,0.000733731,0.000261203,0.0032830338,0.0025906444,0.038336083,0.050406553,0.0007686323,0.0056711403,0.39948454],"study_design_scores_gemma":[0.0000338423,0.0000899183,0.9398176,0.00004792255,0.00009194809,0.00044692442,0.0028701108,0.046586763,0.00612356,0.00033282946,0.0035291302,0.00002953901],"about_ca_topic_score_codex":0.026198668,"about_ca_topic_score_gemma":0.032256387,"teacher_disagreement_score":0.026198668,"about_ca_system_score_codex":0.00037090902,"about_ca_system_score_gemma":0.00033757061,"threshold_uncertainty_score":0.052092314},"labels":[],"label_agreement":null},{"id":"W1973839586","doi":"10.5539/jsd.v3n3p221","title":"An Evaluation on Land Coordination Use in Nanjing City","year":2010,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Science and Technology of the People's Republic of China","keywords":"Land use; Degree (music); Geography; Sustainable development; Business; Environmental resource management; Economics; Ecology; Civil engineering; Engineering","score_opus":0.0227065397932075,"score_gpt":0.2500428435926229,"score_spread":0.2273363037994154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973839586","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":[0.9972754,0.00002771817,0.00012741922,0.000028406677,0.0000019825638,0.0000137460465,0.00044614542,0.000007896129,0.002071168],"genre_scores_gemma":[0.9984255,0.00003799282,0.00014624388,0.000004334848,0.0000019722345,0.000012330052,0.00077207637,0.0000025583681,0.00059688557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994165,0.000075240154,0.000055036115,0.00010049539,0.0002494837,0.000103244],"domain_scores_gemma":[0.9989832,0.00008007382,0.00022429838,0.000054153945,0.0004412889,0.00021692898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058492663,0.00021882028,0.00020390002,0.002452658,0.00058399275,0.00059721584,0.00024895108,0.00013476268,0.0015724368],"category_scores_gemma":[0.0010592883,0.0001499436,0.00029286227,0.0038943344,0.00033356517,0.00049581,0.0007056802,0.00012880836,0.00015315705],"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":[0.00006705085,0.0000310739,0.98942155,0.00002351624,0.000033922246,0.00009614727,0.00066160946,0.0008115866,0.0008011635,0.00014843344,0.00048273485,0.0074211597],"study_design_scores_gemma":[0.0000013040938,0.000021566308,0.9981353,0.0000016676145,0.0000065658337,0.000014118599,0.0007106862,0.00060405757,0.00011474953,0.000010153285,0.000376988,0.0000027752853],"about_ca_topic_score_codex":0.11405966,"about_ca_topic_score_gemma":0.23072131,"teacher_disagreement_score":0.11405966,"about_ca_system_score_codex":0.002344234,"about_ca_system_score_gemma":0.0016981555,"threshold_uncertainty_score":0.2267915},"labels":[],"label_agreement":null},{"id":"W1986190218","doi":"10.5539/ass.v9n3p50","title":"A Discussion on China’s Western Region Speeding up the Construction of Agricultural Product Quality and Safety System","year":2013,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Product (mathematics); Business; Agricultural productivity; Standardization; Quality (philosophy); China; Good agricultural practice; Environmental economics; Computer science; Economics; Geography","score_opus":0.020660186089429378,"score_gpt":0.2433299479686087,"score_spread":0.22266976187917933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986190218","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70630276,0.0040331325,0.0055801645,0.081069395,0.00075507397,0.00015818655,0.00011985407,0.000100954014,0.20188053],"genre_scores_gemma":[0.96753424,0.0019423137,0.002488892,0.006802702,0.00016672113,0.0000389893,0.000045000863,0.0000136882145,0.020967517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99924016,0.00025579712,0.000038999733,0.00008575021,0.0001286474,0.00025069914],"domain_scores_gemma":[0.9992762,0.00016037078,0.00012257826,0.000057540485,0.00024982152,0.00013347913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022006962,0.00022663458,0.000106933345,0.0005474749,0.002372623,0.0018079852,0.00049671705,0.0012658348,0.0032091604],"category_scores_gemma":[0.0011443169,0.00013020255,0.00042455786,0.000840927,0.0014377075,0.0018408701,0.0013328729,0.0008912545,0.00017662553],"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":[0.00034562495,0.00018807106,0.1789821,0.00094948075,0.00009091396,0.0104297865,0.058334537,0.0053086192,0.017810293,0.5304473,0.055427756,0.14168559],"study_design_scores_gemma":[0.000055963304,0.00035074036,0.2725698,0.00037616785,0.00011338435,0.0007375066,0.036809105,0.0035999964,0.0073364917,0.015567254,0.6623549,0.0001286824],"about_ca_topic_score_codex":0.080149874,"about_ca_topic_score_gemma":0.08286856,"teacher_disagreement_score":0.080149874,"about_ca_system_score_codex":0.004027605,"about_ca_system_score_gemma":0.006908237,"threshold_uncertainty_score":0.15936673},"labels":[],"label_agreement":null},{"id":"W1987943629","doi":"10.1080/01431161.2014.902549","title":"Synoptic mapping of high-rise buildings in urban areas based on combined shadow analysis and scale space processing","year":2014,"lang":"en","type":"article","venue":"International Journal of Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Natural Resources Canada","funders":"","keywords":"Beijing; Shadow (psychology); Remote sensing; Satellite imagery; Pixel; Scale (ratio); Computer science; Satellite; Geography; Artificial intelligence; Cartography; China; Engineering","score_opus":0.006847545527310313,"score_gpt":0.2100057511686915,"score_spread":0.20315820564138118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987943629","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":[0.5891274,0.00058957725,0.39808208,0.00009209066,0.000035742127,0.0002650485,0.0018702965,0.002293199,0.007644591],"genre_scores_gemma":[0.73843926,0.00029107303,0.25784495,0.000018184717,0.00003256588,0.00011493118,0.0013985777,0.00009220898,0.0017681988],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998872,0.00001385454,0.000005530087,0.000024973013,0.000054311404,0.0000140792945],"domain_scores_gemma":[0.99988496,0.000019913614,0.000025072779,0.000016122523,0.000040944105,0.000012897796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017838369,0.00031160086,0.0002046573,0.0019050679,0.0001824602,0.00049206085,0.00022835836,0.00013272553,0.0012933292],"category_scores_gemma":[0.000165869,0.0002202308,0.00017947903,0.0010500922,0.00019314226,0.0004829528,0.00042466715,0.00013784035,0.00023056497],"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":[0.00024692784,0.00017794927,0.04921785,0.000492349,0.0001333423,0.0002775747,0.00050451065,0.050631024,0.26088852,0.0023370087,0.0027571104,0.63233584],"study_design_scores_gemma":[0.000077980774,0.00037256494,0.4218152,0.00005608945,0.00011698946,0.0006713339,0.0007862035,0.52450925,0.036094405,0.0034589109,0.0119443815,0.00009666318],"about_ca_topic_score_codex":0.0029804234,"about_ca_topic_score_gemma":0.009130933,"teacher_disagreement_score":0.0029804234,"about_ca_system_score_codex":0.00016280827,"about_ca_system_score_gemma":0.0003133382,"threshold_uncertainty_score":0.005926132},"labels":[],"label_agreement":null},{"id":"W1989033557","doi":"10.2316/journal.206.2013.2.206-3800","title":"GENERAL VEGETATION DETECTION USING AN INTEGRATED VISION SYSTEM","year":2013,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Computer vision; Computer science; Artificial intelligence; Remote sensing; Geography; Medicine; Pathology","score_opus":0.01319967427085003,"score_gpt":0.24025293900056266,"score_spread":0.22705326472971263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989033557","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":[0.21107809,0.0006560567,0.77403706,0.00012619987,0.0002447566,0.00018334536,0.00047713076,0.0062647867,0.006932592],"genre_scores_gemma":[0.6562668,0.00026974478,0.33761564,0.00018837758,0.00008930633,0.000112748414,0.0005670739,0.00013328067,0.0047569824],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959487,0.000026855685,0.000012043731,0.00015416341,0.00015067411,0.000061496205],"domain_scores_gemma":[0.9996891,0.000042000323,0.000020385593,0.000040842966,0.00016473314,0.000042968128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026677377,0.0005888175,0.0008370784,0.0011744916,0.00038160247,0.00078024965,0.00086737995,0.0008403327,0.0028665562],"category_scores_gemma":[0.00043090325,0.00048221197,0.00048350444,0.0007735714,0.0001886677,0.000814225,0.00075900304,0.00057396386,0.0011102358],"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":[0.0007152659,0.00029113976,0.0048761643,0.00018024653,0.0001353976,0.00013481943,0.000087855784,0.005624344,0.58580476,0.0008265259,0.002346939,0.3989765],"study_design_scores_gemma":[0.00026208482,0.0014726927,0.066294014,0.00007282564,0.00056273176,0.0015048637,0.000116139214,0.6580762,0.25677025,0.0023507993,0.012336273,0.00018123027],"about_ca_topic_score_codex":0.0019594138,"about_ca_topic_score_gemma":0.0035668502,"teacher_disagreement_score":0.0028665562,"about_ca_system_score_codex":0.0002824447,"about_ca_system_score_gemma":0.0005302419,"threshold_uncertainty_score":0.0095896125},"labels":[],"label_agreement":null},{"id":"W1995931657","doi":"10.5539/ass.v8n7p219","title":"Land Intensive Utilization Evaluation of Linhai Industrial Zone in Xingcheng City","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Delphi method; Delphi; Index (typography); Land use; Business; Industrial park; Research Object; Environmental resource management; Sustainable development; Analytic hierarchy process; Environmental economics; Environmental planning; Computer science; Geography; Environmental science; Operations research; Civil engineering; Economics; Political science; Mathematics; Engineering","score_opus":0.13563788174020905,"score_gpt":0.31920208604004524,"score_spread":0.1835642042998362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995931657","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":[0.9996044,0.000011837215,0.00004383019,0.0000042836773,2.5753195e-7,0.0000049007567,0.000025127398,0.0000010954668,0.00030416378],"genre_scores_gemma":[0.99963546,0.000021707609,0.00009260655,0.0000017451963,4.3025233e-7,0.0000061899905,0.00007203413,5.233103e-7,0.00016922574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995788,0.000108878245,0.000030346135,0.000045906978,0.00015232948,0.000083818406],"domain_scores_gemma":[0.9996275,0.00007087364,0.000090785456,0.000020161111,0.000118197284,0.00007249723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056376075,0.0002539689,0.00020374318,0.002125139,0.0006172057,0.00068594253,0.0001667437,0.00017695474,0.00089343754],"category_scores_gemma":[0.00060907274,0.00014726233,0.00027261896,0.0026350366,0.00035799237,0.0003299677,0.00052588526,0.00011210938,0.00006528242],"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":[0.00020250693,0.00015788861,0.9645761,0.00008668357,0.00007321791,0.0004936564,0.0064530154,0.0026072266,0.0055154865,0.00023544997,0.00023538036,0.019363405],"study_design_scores_gemma":[0.0000034760055,0.00008846574,0.991869,0.0000050454137,0.000018892166,0.000047227826,0.0057123364,0.0011749562,0.0007498974,0.000033049288,0.00029024426,0.0000074962168],"about_ca_topic_score_codex":0.038390733,"about_ca_topic_score_gemma":0.0874185,"teacher_disagreement_score":0.038390733,"about_ca_system_score_codex":0.0015512243,"about_ca_system_score_gemma":0.00090414996,"threshold_uncertainty_score":0.076334536},"labels":[],"label_agreement":null},{"id":"W1997045770","doi":"10.6000/1927-5129.2013.09.49","title":"Assessment the Quality of Life in Karachi City through the Integration of Space and Spatial Technologies","year":2013,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Normalized Difference Vegetation Index; Thematic map; Raster graphics; Geographic information system; Census; Geography; Socioeconomic status; Thematic Mapper; Remote sensing; Raster data; Land cover; Spatial analysis; Index (typography); Cartography; Land use; Satellite imagery; Computer science; Civil engineering; Population; Environmental health; Engineering","score_opus":0.04462687280398209,"score_gpt":0.2903278261007091,"score_spread":0.24570095329672703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997045770","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":[0.986978,0.0003315756,0.005194296,0.00024412098,0.000012680957,0.0000627797,0.0010693781,0.00003897203,0.006068116],"genre_scores_gemma":[0.9961815,0.00023666289,0.002874345,0.000017348799,0.0000060470297,0.000027097083,0.00037792773,0.0000015311773,0.00027755828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962616,0.00010388796,0.00002897059,0.000032123073,0.00014612988,0.00006279241],"domain_scores_gemma":[0.9995177,0.00007497471,0.00013093653,0.000029833973,0.00020363105,0.000042898733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033277902,0.00024362069,0.00020022716,0.0024508422,0.00046870523,0.0013117084,0.00020177668,0.00017664388,0.0011793779],"category_scores_gemma":[0.0009529941,0.00009508122,0.00027168458,0.0026621216,0.00036366133,0.00081154413,0.0010683632,0.00021469768,0.00016913057],"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":[0.00006845646,0.00010215519,0.87080336,0.00019461077,0.00011371178,0.00028121134,0.0018569056,0.0032420347,0.0015212002,0.0015662331,0.0010385141,0.11921165],"study_design_scores_gemma":[0.000007024791,0.00031749514,0.9739217,0.000051409887,0.00008363443,0.00038194587,0.011588636,0.0071193543,0.0011615461,0.0013830999,0.0039451947,0.000038852766],"about_ca_topic_score_codex":0.01462063,"about_ca_topic_score_gemma":0.024550376,"teacher_disagreement_score":0.01462063,"about_ca_system_score_codex":0.0005591521,"about_ca_system_score_gemma":0.0009071952,"threshold_uncertainty_score":0.029071033},"labels":[],"label_agreement":null},{"id":"W1997066474","doi":"10.1007/s11769-003-0017-4","title":"Quantitative analysis and fractal modeling on the mosaic structure of landscape in the central area of Shanghai metropolis","year":2003,"lang":"en","type":"article","venue":"Chinese Geographical Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mosaic; Geography; Dominance (genetics); Fragmentation (computing); Geographic information system; Landscape ecology; Fractal dimension; Cartography; Remote sensing; Quarter (Canadian coin); Fractal; Physical geography; Ecology; Archaeology; Mathematics; Habitat; Biology","score_opus":0.012170235622741693,"score_gpt":0.2345006841632726,"score_spread":0.2223304485405309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997066474","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":[0.9957349,0.00005637212,0.0038500947,0.000042048658,0.0000012720163,0.0000023151456,0.000057716592,0.0000111794325,0.00024403633],"genre_scores_gemma":[0.99943143,0.000014014523,0.00045741544,0.0000011839631,0.000001821578,0.0000011663349,0.00003627448,0.0000018239351,0.000054779408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990964,0.000032326592,0.0000029498003,0.000019021138,0.000014202209,0.000021787657],"domain_scores_gemma":[0.9993383,0.00031033295,0.00011700863,0.000048882393,0.00012036376,0.00006511691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037096153,0.00015659948,0.0002430787,0.0012513745,0.00030969977,0.0006427502,0.00036519795,0.00019651027,0.0003885588],"category_scores_gemma":[0.00099569,0.00017536158,0.0003061234,0.0008323316,0.00058889523,0.00048950285,0.00020672816,0.00013937362,0.000019794368],"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":[0.00018457364,0.000060347305,0.22416294,0.000074700634,0.00012522307,0.00038289913,0.0008116519,0.7165704,0.006227565,0.0354761,0.00090308243,0.015020413],"study_design_scores_gemma":[0.0000035856756,0.000008960219,0.084867485,0.0000034716554,0.000016975964,0.000037507973,0.00015843232,0.9110933,0.00013332715,0.0035392065,0.0001274767,0.000010276292],"about_ca_topic_score_codex":0.03245908,"about_ca_topic_score_gemma":0.026912322,"teacher_disagreement_score":0.03245908,"about_ca_system_score_codex":0.001239136,"about_ca_system_score_gemma":0.0004381884,"threshold_uncertainty_score":0.06454027},"labels":[],"label_agreement":null},{"id":"W1998513521","doi":"10.1016/0967-0653(93)94856-t","title":"10.1016/0967-0653(93)94856-t","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Radiance; Multispectral image; Thematic Mapper; Remote sensing; Change detection; Pixel; Satellite; Thematic map; Multispectral pattern recognition; Change analysis; Geography; Satellite imagery; Environmental science; Cartography; Physical geography; Computer science; Artificial intelligence","score_opus":0.006035185696252138,"score_gpt":0.14951988584626516,"score_spread":0.14348470015001302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998513521","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009664509,0.0005587276,0.00090414746,0.0006023791,0.00042403725,0.00017570717,0.0009956673,0.00084928895,0.9945235],"genre_scores_gemma":[0.0010380371,0.00033983839,0.00061170297,0.00046418427,0.00009522662,0.00008828122,0.0005546762,0.0001700753,0.99663794],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990896,0.00008183763,0.00009020995,0.00032385226,0.00021393102,0.00020069533],"domain_scores_gemma":[0.9979644,0.00056037685,0.00012067907,0.00025935183,0.0005158491,0.0005793872],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015260319,0.0028857575,0.0017551667,0.003195943,0.0021263286,0.003909582,0.0031866662,0.006627503,0.98940897],"category_scores_gemma":[0.0015100576,0.0011184062,0.001439967,0.0026375642,0.002452881,0.00604559,0.0032105488,0.0027894329,0.9906499],"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":[0.00037284297,0.0005669253,0.0019016124,0.000665324,0.00005353434,0.0005495399,0.00017407566,0.0005014773,0.0034601935,0.0050146063,0.2807924,0.7059475],"study_design_scores_gemma":[0.00007558892,0.00019621312,0.0016683317,0.0005697274,0.000023077735,0.0005996334,0.00027536863,0.0002766948,0.00042145437,0.00085750566,0.9949993,0.000037089383],"about_ca_topic_score_codex":0.004842116,"about_ca_topic_score_gemma":0.004557457,"teacher_disagreement_score":0.01059103,"about_ca_system_score_codex":0.0009981176,"about_ca_system_score_gemma":0.00092539156,"threshold_uncertainty_score":0.015106738},"labels":[],"label_agreement":null},{"id":"W1999094566","doi":"10.4028/www.scientific.net/amm.357-360.1599","title":"Quantity or Quality Evaluation of Open Space in the Urban Ghetto of Downtown, Vancouver","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"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 British Columbia","funders":"","keywords":"Downtown; Space (punctuation); Quality (philosophy); Ethnic group; Geography; Process (computing); Civil engineering; Environmental planning; Engineering; Political science; Law; Computer science; Archaeology","score_opus":0.06653539492014915,"score_gpt":0.29952983238594766,"score_spread":0.2329944374657985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999094566","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":[0.9933562,0.0000812547,0.00018451424,0.000022073453,0.0000043927425,0.000043587886,0.00026901433,0.0000045459315,0.006034379],"genre_scores_gemma":[0.9969652,0.0000710069,0.00037563004,0.000008670176,0.0000014679052,0.0000141460805,0.00021785106,0.000005125888,0.002340858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992235,0.00008582593,0.000035492616,0.00009930237,0.00040117136,0.00015472599],"domain_scores_gemma":[0.9987748,0.000110997345,0.00009828541,0.000044744964,0.0008005532,0.00017063007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034056001,0.00018865385,0.000263603,0.0018814746,0.0018622048,0.0022481647,0.00047622435,0.00018461586,0.0020937289],"category_scores_gemma":[0.0016050402,0.00018369696,0.00017305024,0.0024802573,0.0014379292,0.00034276024,0.0010488678,0.0002299244,0.00019890528],"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":[0.00042790794,0.00016819894,0.92991287,0.00019566667,0.000060548322,0.0006952086,0.012297426,0.0010414444,0.00508472,0.0011229111,0.0008650992,0.048127986],"study_design_scores_gemma":[0.0000050038866,0.00007226796,0.97178775,0.0000405378,0.0000193288,0.000095164454,0.023491407,0.00066801225,0.0008664547,0.000097905366,0.0028403911,0.000015826881],"about_ca_topic_score_codex":0.7794619,"about_ca_topic_score_gemma":0.95054996,"teacher_disagreement_score":0.22053808,"about_ca_system_score_codex":0.0057098744,"about_ca_system_score_gemma":0.0030659446,"threshold_uncertainty_score":0.44367373},"labels":[],"label_agreement":null},{"id":"W2000508299","doi":"10.4028/www.scientific.net/amm.353-356.2817","title":"Modern and Traditional Smart Improvements of the Traditional Tibetan Architectural Materials and Security","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"University of British Columbia","funders":"","keywords":"Premise; Homeland; Homeland security; Architectural engineering; Space (punctuation); Architecture; Computer security; Civil engineering; Geography; Engineering; Computer science; Political science; Archaeology; Law; Politics; Epistemology","score_opus":0.015165673227681536,"score_gpt":0.16926041104150882,"score_spread":0.1540947378138273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000508299","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":[0.73422575,0.007889101,0.091684625,0.0029988787,0.00035505035,0.00011778364,0.00020463833,0.00017765794,0.16234651],"genre_scores_gemma":[0.96140844,0.0016230233,0.022296831,0.00015600791,0.000050736824,0.00002484577,0.00005317772,0.000018396051,0.014368472],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99983597,0.000046393918,0.000008636182,0.000022986114,0.000054905056,0.00003105238],"domain_scores_gemma":[0.99989474,0.000017100892,0.000016257394,0.000024286686,0.000033723678,0.000013935238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052517396,0.00037946322,0.00012320599,0.00070938846,0.0008422835,0.0010703161,0.0004073061,0.00034387337,0.004165283],"category_scores_gemma":[0.00041219805,0.00013642214,0.00020625426,0.0007902262,0.0013475067,0.00088597916,0.0007990664,0.000397889,0.0003867552],"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":[0.00022431526,0.00022033481,0.04994954,0.0013144946,0.00008966481,0.0010066237,0.0075108875,0.0219779,0.0922827,0.26129586,0.00433365,0.5597939],"study_design_scores_gemma":[0.00006834191,0.0012977412,0.24522875,0.0008075764,0.00015289632,0.0031202468,0.016505543,0.034826327,0.034627948,0.16621087,0.49696156,0.00019221348],"about_ca_topic_score_codex":0.0019701538,"about_ca_topic_score_gemma":0.010807412,"teacher_disagreement_score":0.004165283,"about_ca_system_score_codex":0.0006764792,"about_ca_system_score_gemma":0.00081827544,"threshold_uncertainty_score":0.013934314},"labels":[],"label_agreement":null},{"id":"W2003009239","doi":"10.1016/s0305-9006(03)00062-x","title":"Remote sensing for mapping and monitoring land-cover and land-use change","year":2003,"lang":"en","type":"article","venue":"Progress in Planning","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Land cover; Remote sensing; Cover (algebra); Change detection; Land use; Environmental resource management; Land use, land-use change and forestry; Geography; Environmental science; Engineering; Civil engineering","score_opus":0.07275574569961979,"score_gpt":0.28050686562476407,"score_spread":0.20775111992514428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003009239","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12574378,0.10045205,0.23708403,0.02428541,0.004565765,0.0037474385,0.061980788,0.007647413,0.43449333],"genre_scores_gemma":[0.3119801,0.03943326,0.44724116,0.0030401938,0.0010226843,0.0014494163,0.03784983,0.0008667394,0.15711667],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99952817,0.00014715653,0.000028348059,0.0000497217,0.00020896299,0.000037634778],"domain_scores_gemma":[0.9993555,0.00018411623,0.0000557288,0.00015897973,0.00020196543,0.000043671756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013227112,0.00065264234,0.00033350158,0.0011604014,0.0004115761,0.0006347579,0.000570057,0.00048337033,0.009233977],"category_scores_gemma":[0.0011984383,0.0002359155,0.00021684922,0.0012773478,0.00033225314,0.0011398656,0.0006206559,0.000711748,0.0031479164],"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":[0.0001827795,0.00028059792,0.0072197923,0.00066403055,0.00010325703,0.00012294922,0.00021248621,0.0029812395,0.017345415,0.036665168,0.20053695,0.7336854],"study_design_scores_gemma":[0.00012650907,0.0002055126,0.054968037,0.00036352477,0.00016468044,0.00034014715,0.00030781695,0.011329726,0.013223622,0.015719494,0.9032063,0.0000446562],"about_ca_topic_score_codex":0.037778236,"about_ca_topic_score_gemma":0.042032637,"teacher_disagreement_score":0.037778236,"about_ca_system_score_codex":0.00083027687,"about_ca_system_score_gemma":0.0016042901,"threshold_uncertainty_score":0.075116694},"labels":[],"label_agreement":null},{"id":"W2004381637","doi":"10.3808/jei.200900147","title":"Land Cover Change Detection Using MSS and MODIS Data: A Case Study for Liangshan-Xiangling Region in Southwestern China","year":2009,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"University of Northern British Columbia","funders":"","keywords":"Land cover; China; Normalized Difference Vegetation Index; Change detection; Geography; Physical geography; Cover (algebra); Climate change; Vegetation cover; Land use; Vegetation (pathology); Environmental science; Remote sensing; Ecology","score_opus":0.06748924951870727,"score_gpt":0.25718647233810615,"score_spread":0.18969722281939888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004381637","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":[0.9998203,0.000012838268,0.00006101062,0.000011294078,3.4944284e-7,0.0000050711274,0.000022524577,0.0000028242437,0.000063801475],"genre_scores_gemma":[0.99924797,0.00002697471,0.00047268896,0.0000056398007,0.0000015337841,0.0000062821427,0.000084449865,9.736838e-7,0.00015339864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997243,0.00007175708,0.000022330443,0.000044175547,0.0000763566,0.00006104132],"domain_scores_gemma":[0.9995084,0.00016005717,0.00011212508,0.000041768224,0.00009131907,0.00008641702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006824151,0.000295046,0.00021473454,0.00082417304,0.000524192,0.00035749696,0.00041223085,0.00036556929,0.000370601],"category_scores_gemma":[0.0009281854,0.00021771998,0.0002951543,0.0013773843,0.00041191033,0.00036962892,0.0003363523,0.00013894927,0.000049572274],"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":[0.00028201236,0.00028217354,0.95062494,0.000083637184,0.00009903748,0.009143847,0.0028622227,0.007185108,0.0067668254,0.00019801444,0.00027328703,0.022198858],"study_design_scores_gemma":[0.000041344683,0.0002731272,0.9556349,0.0000126166215,0.00008547509,0.0010596334,0.0065890644,0.03306255,0.0024825332,0.00011542412,0.000615787,0.000027644177],"about_ca_topic_score_codex":0.15800524,"about_ca_topic_score_gemma":0.22820821,"teacher_disagreement_score":0.15800524,"about_ca_system_score_codex":0.0016025611,"about_ca_system_score_gemma":0.00095447066,"threshold_uncertainty_score":0.31417108},"labels":[],"label_agreement":null},{"id":"W2009137979","doi":"10.4028/www.scientific.net/amm.174-177.3060","title":"The Old Residential Quarter Mode Selection and Layout of Parking","year":2012,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Quarter (Canadian coin); Mode (computer interface); Transport engineering; Parking guidance and information; Engineering; Selection (genetic algorithm); Computer science; Geography; Artificial intelligence","score_opus":0.00828378658818221,"score_gpt":0.1991649010524902,"score_spread":0.190881114464308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009137979","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":[0.95497245,0.00009162777,0.034905344,0.000035312583,0.000019920639,0.000028561244,0.00022704448,0.0001676676,0.009552041],"genre_scores_gemma":[0.9916181,0.000030890187,0.0057862634,0.000004889426,0.00000276412,0.000006862526,0.00008720123,0.00001578645,0.002447349],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983084,0.000029366694,0.000008120069,0.00004572205,0.000048644048,0.0000372948],"domain_scores_gemma":[0.99978644,0.000023861101,0.000032100324,0.000023309516,0.00010263183,0.000031764215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020460892,0.0002096475,0.00019952432,0.000683833,0.00039469902,0.0005672519,0.00030370362,0.00017403116,0.0034784325],"category_scores_gemma":[0.00045030826,0.0002206678,0.0002985183,0.00072943175,0.00022857117,0.00045694856,0.00028939173,0.000112188514,0.00039294126],"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":[0.0009316565,0.00018614551,0.5657321,0.00032933726,0.00009645468,0.0011894166,0.0023983119,0.04674284,0.12352133,0.015484185,0.007289845,0.23609836],"study_design_scores_gemma":[0.000028864019,0.00020554497,0.78502476,0.000020574276,0.000094799565,0.001961336,0.0032404698,0.16374259,0.02876219,0.0042863996,0.012500823,0.00013174287],"about_ca_topic_score_codex":0.0031247607,"about_ca_topic_score_gemma":0.007476744,"teacher_disagreement_score":0.0034784325,"about_ca_system_score_codex":0.00034458798,"about_ca_system_score_gemma":0.0003596132,"threshold_uncertainty_score":0.011636555},"labels":[],"label_agreement":null},{"id":"W2015790018","doi":"10.1007/s11806-010-0176-2","title":"A new conception of image texture and remote sensing image segmentation based on Markov random field","year":2010,"lang":"en","type":"article","venue":"Geo-spatial Information Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Markov random field; Artificial intelligence; Image texture; Image segmentation; Computer science; Computer vision; Markov chain; Image (mathematics); Pattern recognition (psychology); Random field; Segmentation; Mathematics; Machine learning; Statistics","score_opus":0.005341359923799509,"score_gpt":0.2255503559877978,"score_spread":0.2202089960639983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015790018","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003175065,0.0006440605,0.9935834,0.00029076202,0.000081941194,0.000015349833,0.000050531777,0.00012268646,0.0020362074],"genre_scores_gemma":[0.38473326,0.003507302,0.5999658,0.00068847276,0.00083320064,0.00018988914,0.00039044552,0.00025937843,0.0094322665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993079,0.00012726168,0.000033620578,0.00022609136,0.00024277029,0.000062390325],"domain_scores_gemma":[0.9994074,0.0002790329,0.00007899194,0.00007319493,0.0001263645,0.00003496632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075201376,0.00048918684,0.0007428267,0.0015346183,0.0003959368,0.0011978602,0.00091879343,0.0009261175,0.0013506982],"category_scores_gemma":[0.0016081762,0.0004196701,0.0010152246,0.0014738258,0.0018297283,0.0029352824,0.00064503757,0.00125993,0.00030037743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062614876,0.000034628058,0.0016445387,0.00023949183,0.00008499533,0.00026852332,0.00023654304,0.12422476,0.016231166,0.77097654,0.0029397593,0.08305646],"study_design_scores_gemma":[0.000017681836,0.00007362958,0.0015515325,0.000036881396,0.000043899272,0.0005301954,0.000049260783,0.7563619,0.0029706953,0.222826,0.015465317,0.000072922376],"about_ca_topic_score_codex":0.0034055617,"about_ca_topic_score_gemma":0.0019924415,"teacher_disagreement_score":0.0034055617,"about_ca_system_score_codex":0.0011381491,"about_ca_system_score_gemma":0.00066498737,"threshold_uncertainty_score":0.0082579255},"labels":[],"label_agreement":null},{"id":"W2018386625","doi":"10.1117/12.753812","title":"The SAPPHIRE trial: investigations on angular deviation caused by refraction","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Scintillation; Environmental science; Meteorology; Planetary boundary layer; Atmospheric refraction; Sea trial; Remote sensing; Geology; Oceanography; Geography; Physics; Optics; Turbulence","score_opus":0.013534371003787907,"score_gpt":0.22622347798290746,"score_spread":0.21268910697911955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018386625","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":[0.99305433,0.000051446943,0.0035634728,0.000018554243,0.000012360308,0.000021445889,0.0002647119,0.00008784055,0.0029258858],"genre_scores_gemma":[0.99641716,0.000048376176,0.0023136875,0.000013565822,0.0000053283693,0.000010260343,0.00042925062,0.000048963364,0.0007134612],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996118,0.000056535773,0.00001654559,0.000075773234,0.00017824302,0.00006112892],"domain_scores_gemma":[0.9984584,0.00057023705,0.0001571949,0.00029418978,0.00041713644,0.00010280975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060860644,0.00029608523,0.0002688671,0.00037057907,0.00033530954,0.00033903355,0.0003452746,0.0002703147,0.001517671],"category_scores_gemma":[0.0014411762,0.00015740235,0.0002055879,0.0008556141,0.000275615,0.0003825856,0.00038743162,0.0005742079,0.00028600724],"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":[0.0039101043,0.0004981526,0.22722664,0.00024655194,0.00019068333,0.0017370661,0.0019442735,0.057154097,0.5823817,0.0015272476,0.003228534,0.11995494],"study_design_scores_gemma":[0.00020625035,0.0024220878,0.6149063,0.00004136683,0.000113044305,0.0012397831,0.00089218287,0.14034845,0.23484369,0.00040017805,0.004434445,0.00015223546],"about_ca_topic_score_codex":0.0053787283,"about_ca_topic_score_gemma":0.0076846257,"teacher_disagreement_score":0.0053787283,"about_ca_system_score_codex":0.000267,"about_ca_system_score_gemma":0.00027736113,"threshold_uncertainty_score":0.010694802},"labels":[],"label_agreement":null},{"id":"W2019670949","doi":"10.1109/icbmei.2011.5916951","title":"The level of cultivated land security risk in China based on the PNN network","year":2011,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Brandon University","funders":"","keywords":"Cultivated land; China; Vulnerability (computing); Food security; Geography; Order (exchange); Business; Environmental resource management; Environmental science; Computer science; Agriculture; Computer security","score_opus":0.041663990781830314,"score_gpt":0.20636072444687953,"score_spread":0.16469673366504922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019670949","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":[0.973096,0.00014256762,0.023061367,0.00034496727,0.0000075411285,0.000028426177,0.0003883438,0.000043592016,0.0028871526],"genre_scores_gemma":[0.9983413,0.000070093774,0.00091680186,0.000007133485,0.0000029084474,0.00001070771,0.0001692825,0.0000027701667,0.0004790776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99959177,0.00011381538,0.000020768914,0.00012272764,0.0000817547,0.00006919955],"domain_scores_gemma":[0.99831355,0.0008060034,0.00039877844,0.00006961525,0.000295817,0.00011615811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001288596,0.00039880932,0.00032833812,0.0012732878,0.00034687275,0.0010358173,0.0007376654,0.00039537894,0.0013775155],"category_scores_gemma":[0.004116013,0.00023123642,0.0003855022,0.0009757404,0.0006301717,0.001207345,0.0008034651,0.00031779922,0.00007318104],"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":[0.00011419424,0.000026325764,0.10769539,0.000030515943,0.000081826205,0.0003676507,0.00017077955,0.8730082,0.00048826658,0.006408124,0.0005760199,0.01103283],"study_design_scores_gemma":[0.0000045918305,0.000016752545,0.02419662,0.0000055089145,0.000018118588,0.000038687762,0.00005579024,0.9709868,0.00012517277,0.004374074,0.00016474153,0.000013156297],"about_ca_topic_score_codex":0.033041462,"about_ca_topic_score_gemma":0.017761264,"teacher_disagreement_score":0.033041462,"about_ca_system_score_codex":0.0020620017,"about_ca_system_score_gemma":0.00076875836,"threshold_uncertainty_score":0.065698326},"labels":[],"label_agreement":null},{"id":"W2021874608","doi":"10.1016/j.jenvman.2006.04.024","title":"Observation and simulation of net primary productivity in Qilian Mountain, western China","year":2006,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; National Natural Science Foundation of China","keywords":"Primary production; China; Productivity; Net (polyhedron); Environmental science; Primary productivity; Physical geography; Geography; Ecosystem; Ecology; Biology; Mathematics; Economics; Archaeology","score_opus":0.006478483750595628,"score_gpt":0.17889924261996945,"score_spread":0.17242075886937383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021874608","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":[0.9995541,0.000010505913,0.00013377755,0.000022723221,0.0000026878304,0.0000027123235,0.000107325795,0.0000114773475,0.00015471858],"genre_scores_gemma":[0.9995772,0.000012666572,0.00013743098,0.0000034158268,0.0000016577354,0.0000044553417,0.00015696965,0.000001773176,0.00010438738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999064,0.000013302071,0.00000748592,0.000029235562,0.000011092631,0.000032480842],"domain_scores_gemma":[0.99972457,0.00009147742,0.0000336404,0.000029700635,0.000047010915,0.00007361993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035370808,0.00044948806,0.00038097473,0.0003922805,0.0005724975,0.00049673667,0.00092371117,0.0009181275,0.0007767851],"category_scores_gemma":[0.00053524255,0.0004290933,0.0006804169,0.00067536574,0.00053166697,0.00053437747,0.00035783558,0.00036201256,0.00008789371],"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":[0.000565674,0.0004433102,0.28491125,0.00006668111,0.00018651842,0.00066766597,0.0003445249,0.7013619,0.0054016723,0.00054669456,0.0006232264,0.0048809648],"study_design_scores_gemma":[0.00007688682,0.00009448532,0.13954566,0.0000041226926,0.00004993349,0.000024645382,0.00021387372,0.8590969,0.00056621816,0.00013248666,0.00017117192,0.000023552566],"about_ca_topic_score_codex":0.22859313,"about_ca_topic_score_gemma":0.15498666,"teacher_disagreement_score":0.22859313,"about_ca_system_score_codex":0.0017676261,"about_ca_system_score_gemma":0.0017005937,"threshold_uncertainty_score":0.4545251},"labels":[],"label_agreement":null},{"id":"W2023934380","doi":"10.1016/j.egypro.2011.03.305","title":"Canadian experience in low carbon eco-city development and the implications for China","year":2011,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":13,"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":"Urbanization; China; Urban planning; Environmental planning; Environmental degradation; Environmental protection; Geography; Climate change; Population; Business; Natural resource economics; Environmental resource management; Environmental science; Economic growth; Ecology; Civil engineering; Engineering; Economics","score_opus":0.021087541441716703,"score_gpt":0.20007763627176803,"score_spread":0.17899009483005132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023934380","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":[0.876553,0.005429017,0.00019327716,0.0259494,0.00024649408,0.00008440852,0.001600431,0.000036948008,0.08990692],"genre_scores_gemma":[0.96280235,0.0074442844,0.00032069389,0.002305724,0.000028166867,0.00003134322,0.0007112849,0.000017019767,0.02633922],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99886537,0.00012382022,0.00004344754,0.000071463735,0.00032665153,0.0005692885],"domain_scores_gemma":[0.9972371,0.00009762693,0.00012751692,0.00003825533,0.0009021266,0.0015972765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009099165,0.00033125968,0.00035597358,0.0010655046,0.0120381275,0.002569912,0.0008721328,0.00052830187,0.007906094],"category_scores_gemma":[0.0015142873,0.0001623796,0.00037572611,0.005486193,0.0017733849,0.00084606337,0.0017378307,0.0012291728,0.00032501045],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003042323,0.00046986187,0.47751543,0.000791641,0.000108246866,0.00620165,0.20315233,0.0012060337,0.0013971049,0.027764753,0.13482344,0.14626536],"study_design_scores_gemma":[0.00003889563,0.00016735673,0.36812165,0.0003444561,0.00006239265,0.0009903045,0.253436,0.00072426564,0.00046188672,0.0007415621,0.37473053,0.00018066383],"about_ca_topic_score_codex":0.9929837,"about_ca_topic_score_gemma":0.9969983,"teacher_disagreement_score":0.949252,"about_ca_system_score_codex":0.050748006,"about_ca_system_score_gemma":0.085655324,"threshold_uncertainty_score":0.3682043},"labels":[],"label_agreement":null},{"id":"W2027279858","doi":"10.4028/www.scientific.net/amr.726-731.4965","title":"Reclamation of the Temporary Land use for the Road Construction","year":2013,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Ministry of Transportation of Ontario","funders":"","keywords":"Land reclamation; Resource (disambiguation); Land use; Key (lock); Road construction; Environmental science; Environmental resource management; Civil engineering; Environmental planning; Engineering; Geography; Computer science","score_opus":0.0647016960784575,"score_gpt":0.3060541328325691,"score_spread":0.2413524367541116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027279858","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":[0.43868127,0.0065355953,0.39650586,0.0013408752,0.0004832277,0.00061211485,0.0022489626,0.00306805,0.15052405],"genre_scores_gemma":[0.86120015,0.003026578,0.07732616,0.00015765954,0.00007184973,0.00026786278,0.0012328728,0.00037866013,0.056338202],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99973005,0.000034648197,0.0000118251855,0.00006984726,0.00010141861,0.00005216407],"domain_scores_gemma":[0.9997708,0.000020187554,0.00003812734,0.000055745364,0.00009488667,0.000020297784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002270016,0.00042683014,0.0002891584,0.0012147924,0.0011602008,0.0008489225,0.0006395342,0.00039152132,0.0070301355],"category_scores_gemma":[0.0002525722,0.00012155707,0.00053466763,0.0010807774,0.0004138144,0.0007265367,0.0007531755,0.00039687927,0.0022066506],"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":[0.00012742614,0.00014809502,0.016369985,0.001040134,0.000048561706,0.00046368028,0.0010153211,0.0054888474,0.19728532,0.01096963,0.0091672,0.75787574],"study_design_scores_gemma":[0.000028946208,0.00086500205,0.11741069,0.00032517067,0.00017368305,0.0019926147,0.004241019,0.017376853,0.24323708,0.008006498,0.60618025,0.00016228411],"about_ca_topic_score_codex":0.0041025914,"about_ca_topic_score_gemma":0.016361557,"teacher_disagreement_score":0.0070301355,"about_ca_system_score_codex":0.0005966631,"about_ca_system_score_gemma":0.0016096092,"threshold_uncertainty_score":0.023518145},"labels":[],"label_agreement":null},{"id":"W2027285353","doi":"","title":"FAR INFRARED BEAMLINE AT THE CANADIAN LIGHT SOURCE","year":2004,"lang":"en","type":"article","venue":"The Knowledge Bank (The Ohio State University)","topic":"Remote Sensing and Land Use","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":"Beamline; Infrared; Optics; Physics; Beam (structure)","score_opus":0.010244795626840287,"score_gpt":0.17559041206541773,"score_spread":0.16534561643857745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027285353","genre_codex":"other","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":[0.045165453,0.0070585767,0.04832525,0.0134451445,0.003537006,0.0022446746,0.1926637,0.010615249,0.6769449],"genre_scores_gemma":[0.08210653,0.0050825,0.10779812,0.0031299777,0.00038365787,0.0015642437,0.11495932,0.0022735097,0.6827021],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99753606,0.00008691656,0.0000413463,0.00048727277,0.0014534873,0.0003948359],"domain_scores_gemma":[0.9974751,0.000120226905,0.00007582717,0.00020810941,0.0016609733,0.00045966884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001733433,0.0012097959,0.0016054773,0.0068181306,0.012475886,0.002247259,0.004060832,0.0016138984,0.25051188],"category_scores_gemma":[0.0010531172,0.0009499228,0.0008202411,0.0047123805,0.0014934238,0.0017016124,0.001670507,0.0038732819,0.069811784],"study_design_candidate":"bench_or_experimental","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":[0.0008550937,0.00023336733,0.0038797846,0.0005491041,0.000106164676,0.00016682736,0.0006186046,0.0006553056,0.11505113,0.03947897,0.7748124,0.06359328],"study_design_scores_gemma":[0.00051916344,0.0001224811,0.023584485,0.0002379143,0.0001124963,0.00019674849,0.000289024,0.00145736,0.064816065,0.0045085275,0.90401965,0.00013599261],"about_ca_topic_score_codex":0.5917845,"about_ca_topic_score_gemma":0.818688,"teacher_disagreement_score":0.40821552,"about_ca_system_score_codex":0.024284523,"about_ca_system_score_gemma":0.025189226,"threshold_uncertainty_score":0.8380457},"labels":[],"label_agreement":null},{"id":"W202849061","doi":"","title":"QUANTITATIVE ANALYSIS AND FRACTAL MODELING ON THE MOSAIC STRUCTURE OF LANDSCAPE IN THE CENTRAL AREA OF SHANGHAI METROPOLIS","year":2003,"lang":"en","type":"article","venue":"中国地理科学：英文版","topic":"Remote Sensing and Land Use","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":"Mosaic; Geography; Dominance (genetics); Geographic information system; Fragmentation (computing); Cartography; Remote sensing; Quarter (Canadian coin); Landscape ecology; Digital elevation model; Physical geography; Ecology; Archaeology; Habitat","score_opus":0.02142001520135723,"score_gpt":0.2273132531287588,"score_spread":0.20589323792740158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W202849061","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":[0.9881948,0.000107114785,0.010796303,0.000036078585,0.0000014983208,0.000004027804,0.0000574097,0.000021168727,0.00078165735],"genre_scores_gemma":[0.9988978,0.000027408478,0.00097131793,9.763361e-7,0.0000016259743,0.0000017076145,0.000027172682,0.0000015125107,0.000070441325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999306,0.000026530486,0.0000023389716,0.000012453162,0.00001429514,0.000013663486],"domain_scores_gemma":[0.9996075,0.00017031904,0.00008749783,0.000033058182,0.000068460206,0.00003320074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031188675,0.00011102096,0.000111887355,0.0010376667,0.00014546532,0.0004486298,0.00014001352,0.00008170829,0.0002899128],"category_scores_gemma":[0.0007822672,0.00009634594,0.00018777057,0.0006543947,0.0004370833,0.00035828818,0.00013498492,0.00006961359,0.000019094945],"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":[0.0001869691,0.000051595893,0.29469317,0.00013279279,0.00011535631,0.000629309,0.0019797413,0.59227085,0.011996644,0.052979562,0.0010951394,0.043868836],"study_design_scores_gemma":[0.0000034476548,0.000018444389,0.169472,0.000010161188,0.00001969886,0.000106659645,0.00028280707,0.8253182,0.00037274204,0.003879931,0.0005040084,0.000011826121],"about_ca_topic_score_codex":0.013341947,"about_ca_topic_score_gemma":0.011645192,"teacher_disagreement_score":0.013341947,"about_ca_system_score_codex":0.0006448716,"about_ca_system_score_gemma":0.00019626383,"threshold_uncertainty_score":0.026528537},"labels":[],"label_agreement":null},{"id":"W2029368635","doi":"10.2495/sdp-v1-n2-233-249","title":"Investigation of indices for the automated quantification of landscape qualitative characteristics using digital ground photographs","year":2006,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Visibility; Dominance (genetics); Ground truth; Geography; Qualitative research; Qualitative analysis; Physical geography; Computer science; Remote sensing; Cartography; Artificial intelligence; Sociology; Social science","score_opus":0.035045733275082196,"score_gpt":0.2815510365614457,"score_spread":0.2465053032863635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029368635","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":[0.72353846,0.00056925055,0.26826727,0.00011000817,0.000041630617,0.0005248882,0.00071162934,0.0006928046,0.005544089],"genre_scores_gemma":[0.76944524,0.0002307038,0.2286356,0.000021362092,0.000023775407,0.0002323811,0.000756699,0.00006162667,0.00059274957],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971193,0.0010990157,0.00014063886,0.00022783832,0.0013273106,0.0000860119],"domain_scores_gemma":[0.991131,0.0045807753,0.0010281254,0.00067582197,0.0023989095,0.00018530345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003935826,0.00041591364,0.00044530054,0.0035697236,0.00019020791,0.0013426847,0.00054701895,0.00028130016,0.00079244585],"category_scores_gemma":[0.009885912,0.00019913792,0.0002861747,0.0016037677,0.00035483867,0.001356878,0.00042620176,0.00031904873,0.0002675203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006909475,0.00041249138,0.17184073,0.00074885576,0.0001970255,0.00017247853,0.0012372563,0.017736558,0.0719176,0.0027216747,0.0015416095,0.7307828],"study_design_scores_gemma":[0.0001354824,0.0016950237,0.56117064,0.00022468323,0.00026864329,0.0008643591,0.0032570988,0.3504379,0.07370156,0.0021120731,0.005969751,0.00016278803],"about_ca_topic_score_codex":0.0015205417,"about_ca_topic_score_gemma":0.0023574054,"teacher_disagreement_score":0.003935826,"about_ca_system_score_codex":0.00036383746,"about_ca_system_score_gemma":0.0003224402,"threshold_uncertainty_score":0.020814896},"labels":[],"label_agreement":null},{"id":"W2030427343","doi":"10.2316/journal.201.2013.4.201-2462","title":"FROM NEWTON FRACTALS TO ZHANG FRACTALS YIELDED VIA SOLVING NONLINEAR EQUATIONS IN COMPLEX DOMAIN","year":2013,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fractal; Domain (mathematical analysis); Nonlinear system; Applied mathematics; Zhàng; Mathematics; Mathematical analysis; Physics; Political science; Law","score_opus":0.02251987401400387,"score_gpt":0.23037512821673486,"score_spread":0.207855254202731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030427343","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.310258,0.00234411,0.63810253,0.0016874252,0.0008542354,0.000078883095,0.00021582896,0.00040676873,0.046052262],"genre_scores_gemma":[0.8821713,0.001181999,0.10130167,0.0002136293,0.00029360477,0.000044324854,0.00013801458,0.00017811138,0.014477356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998627,0.000045069868,0.000009660404,0.000022471379,0.000047765752,0.000012358899],"domain_scores_gemma":[0.99935037,0.00029084593,0.00007802753,0.000070456845,0.00016419448,0.000046147714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004698542,0.00038043686,0.00044909987,0.001016877,0.00053548545,0.00087733247,0.00047161788,0.0006324789,0.0016493473],"category_scores_gemma":[0.0039148983,0.00026807026,0.00047709967,0.0003932645,0.0011217373,0.0013126107,0.0007107584,0.0011829868,0.00019182029],"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":[0.00003610806,0.000016866697,0.00076719205,0.00009915699,0.000022171867,0.00014459777,0.00027566784,0.072527915,0.003791373,0.90327144,0.0018114016,0.017235996],"study_design_scores_gemma":[0.000012756095,0.000020781763,0.0007677182,0.000021186432,0.000015497768,0.00011811897,0.000052909567,0.64562106,0.0015493261,0.34774494,0.0040475912,0.000028071023],"about_ca_topic_score_codex":0.0018931824,"about_ca_topic_score_gemma":0.0013245575,"teacher_disagreement_score":0.0018931824,"about_ca_system_score_codex":0.0006836991,"about_ca_system_score_gemma":0.0005014662,"threshold_uncertainty_score":0.005517602},"labels":[],"label_agreement":null},{"id":"W2032991508","doi":"10.1016/s0167-8655(99)00144-0","title":"Zernike moment-based image shape analysis and its application","year":2000,"lang":"en","type":"article","venue":"Pattern Recognition Letters","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Roundness (object); Zernike polynomials; Shape analysis (program analysis); Rationality; Artificial intelligence; Computer science; Image (mathematics); Moment (physics); Image processing; Computer vision; Pattern recognition (psychology); Mathematics; Algorithm; Geometry; Optics; Static analysis","score_opus":0.011680270408055722,"score_gpt":0.20219825570781946,"score_spread":0.19051798529976374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032991508","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":[0.033851277,0.0031820957,0.9553703,0.00039164047,0.00015551382,0.000037573445,0.00020040173,0.0010204064,0.0057906685],"genre_scores_gemma":[0.5041445,0.0045986646,0.47962967,0.00018888457,0.00030976886,0.00005442592,0.00045264643,0.00032497296,0.010296528],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997632,0.000031777992,0.000011228814,0.000045671757,0.0001296477,0.000018485573],"domain_scores_gemma":[0.9995023,0.00016076604,0.00004910691,0.000077711506,0.00018891126,0.000021289497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003007141,0.00035157215,0.0004867226,0.0021796923,0.0002872134,0.0006857704,0.0005083939,0.00062306336,0.0023995852],"category_scores_gemma":[0.0011013015,0.00025993923,0.00046289206,0.0022793314,0.0004402515,0.0007814651,0.00044320303,0.0003870355,0.0011169709],"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":[0.00017747951,0.00004997196,0.0014999097,0.00019321595,0.00005725867,0.00017251848,0.00013255105,0.022485167,0.15076199,0.019864323,0.0030510637,0.8015545],"study_design_scores_gemma":[0.000021666052,0.0001231203,0.008260529,0.000032693806,0.00010954391,0.0015031263,0.00014807712,0.80968523,0.13082534,0.018917754,0.030240273,0.000132614],"about_ca_topic_score_codex":0.0011966742,"about_ca_topic_score_gemma":0.0011084761,"teacher_disagreement_score":0.0023995852,"about_ca_system_score_codex":0.00032732548,"about_ca_system_score_gemma":0.00031932443,"threshold_uncertainty_score":0.008027434},"labels":[],"label_agreement":null},{"id":"W2035158728","doi":"10.5558/tfc79233-2","title":"Ecological classification for mountain forest sustainability in northeast China","year":2003,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chinese Academy of Sciences; Purdue University","keywords":"China; Geography; Sustainability; Vegetation (pathology); Forestry; Ecology; Forest ecology; Ecosystem; Environmental resource management; Land use; Agroforestry; Environmental science; Archaeology","score_opus":0.017029802417942653,"score_gpt":0.24132171704056726,"score_spread":0.2242919146226246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035158728","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":[0.9282498,0.001291474,0.012447536,0.0005223872,0.000053682757,0.00020689513,0.00638821,0.00027320473,0.050566845],"genre_scores_gemma":[0.9784756,0.00037485297,0.010838956,0.000037436588,0.00001305139,0.00009194985,0.00597844,0.000013467395,0.0041763275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998684,0.000025311554,0.000018770957,0.000016187563,0.000036950732,0.000034427027],"domain_scores_gemma":[0.9998067,0.000014372677,0.00004567331,0.000024906574,0.00007503474,0.000033351193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025079146,0.00018494549,0.000100796526,0.002131584,0.0005297357,0.0005937435,0.00015966235,0.00007994204,0.002686479],"category_scores_gemma":[0.00045725988,0.000041951567,0.00015748822,0.0023269288,0.00032699708,0.00041803962,0.0004374418,0.0001443248,0.00025115686],"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":[0.0001355061,0.00005499369,0.5156301,0.0002373172,0.000049002694,0.00036989723,0.0030083836,0.006595279,0.005187107,0.07301975,0.018246008,0.3774667],"study_design_scores_gemma":[0.000014773141,0.00005576389,0.89633095,0.00007999136,0.000024037927,0.00031562612,0.0020548136,0.009255461,0.00068215496,0.00939693,0.08176794,0.000021555372],"about_ca_topic_score_codex":0.05459235,"about_ca_topic_score_gemma":0.053174723,"teacher_disagreement_score":0.05459235,"about_ca_system_score_codex":0.0009596664,"about_ca_system_score_gemma":0.0014879835,"threshold_uncertainty_score":0.10854918},"labels":[],"label_agreement":null},{"id":"W2042360192","doi":"10.1007/s10661-014-3995-z","title":"Analysis of multi-temporal landsat satellite images for monitoring land surface temperature of municipal solid waste disposal sites","year":2014,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Environmental science; Satellite; Remote sensing; Municipal solid waste; Satellite imagery; Environmental monitoring; Thematic Mapper; Hydrology (agriculture); Environmental engineering; Waste management; Geology; Engineering","score_opus":0.014866863728210082,"score_gpt":0.2657509777102488,"score_spread":0.25088411398203875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042360192","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":[0.9967706,0.000075154836,0.0016823615,0.000019504085,0.0000059599706,0.000010852594,0.000882491,0.000039757757,0.00051333866],"genre_scores_gemma":[0.9949892,0.00007488106,0.0030876116,0.0000063120706,0.0000059800027,0.000010129808,0.0013364243,0.000014147141,0.0004753731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998989,0.00001066292,0.000009051869,0.000025140602,0.000035477948,0.000020725169],"domain_scores_gemma":[0.9997862,0.000042778607,0.000048457277,0.000016034775,0.0000866816,0.000019884834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026522626,0.00025488148,0.00020579461,0.0016576516,0.00019664955,0.00043731584,0.00019962156,0.00029125702,0.00048507488],"category_scores_gemma":[0.0002713408,0.00016491646,0.00050061016,0.0010534363,0.0001023459,0.00029842043,0.0001280066,0.00012949777,0.00011626938],"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":[0.0016723808,0.0009045885,0.4685152,0.00029278285,0.0004891738,0.00074120733,0.00030822953,0.062628545,0.3149481,0.00036411433,0.0019402964,0.14719537],"study_design_scores_gemma":[0.00001747955,0.00007155707,0.8724678,0.0000067528113,0.00012695539,0.00010757592,0.00020269043,0.11337101,0.012977743,0.00006520256,0.0005649928,0.000020294003],"about_ca_topic_score_codex":0.015930982,"about_ca_topic_score_gemma":0.03268511,"teacher_disagreement_score":0.015930982,"about_ca_system_score_codex":0.0004316801,"about_ca_system_score_gemma":0.00042389426,"threshold_uncertainty_score":0.03167653},"labels":[],"label_agreement":null},{"id":"W2055152255","doi":"10.5539/jgg.v2n1p58","title":"Detecting Vegetation Change in Neka River Basin of IRAN Based on","year":2010,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Woodland; Normalized Difference Vegetation Index; Land use; Geography; Physical geography; Land cover; Drainage basin; Vegetation (pathology); Agriculture; Land degradation; Fragmentation (computing); Land use, land-use change and forestry; Environmental science; Hydrology (agriculture); Climate change; Geology; Ecology; Cartography; Archaeology","score_opus":0.012420829454485485,"score_gpt":0.21603906798672012,"score_spread":0.20361823853223465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055152255","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":[0.99914193,0.00008226204,0.00011787203,0.000027237054,0.0000035690427,0.000009460897,0.00017451684,0.000012289191,0.0004308285],"genre_scores_gemma":[0.9986406,0.0000956804,0.00068001833,0.000012188076,0.000004223272,0.0000116980855,0.00038284008,0.0000017839858,0.00017106449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998578,0.00002199989,0.000015574598,0.00004063999,0.000036465284,0.000027509277],"domain_scores_gemma":[0.9998235,0.000026965627,0.00005077737,0.000008929422,0.000065122564,0.000024818171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023292878,0.00020508842,0.00020159187,0.0011704509,0.0003571793,0.00032089793,0.00024320271,0.00022035369,0.00028820886],"category_scores_gemma":[0.00033912394,0.00013756487,0.00021920471,0.0007325205,0.00020853226,0.00026608462,0.00021198175,0.00013661415,0.000081180326],"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":[0.00008863651,0.00010867131,0.9661005,0.000062009814,0.00005452577,0.00045207315,0.000749924,0.0010966578,0.005762564,0.00008739533,0.0006238526,0.024813212],"study_design_scores_gemma":[0.000006486018,0.000024647758,0.9967818,0.0000057938255,0.000011571158,0.00013231266,0.00052800094,0.0017168357,0.00034223663,0.000029147179,0.00041548215,0.000005710058],"about_ca_topic_score_codex":0.034183223,"about_ca_topic_score_gemma":0.07862222,"teacher_disagreement_score":0.034183223,"about_ca_system_score_codex":0.00044119594,"about_ca_system_score_gemma":0.0005789122,"threshold_uncertainty_score":0.06796855},"labels":[],"label_agreement":null},{"id":"W2059471057","doi":"10.5539/ass.v8n7p54","title":"Evaluating Land Use Intensification Based on Entropy Method --- A Case Study of Hefei","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entropy (arrow of time); Land use; Investment (military); Environmental resource management; Environmental science; Civil engineering; Engineering","score_opus":0.10042174180845295,"score_gpt":0.36999773651052353,"score_spread":0.2695759947020706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059471057","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":[0.9941841,0.00005160597,0.003072964,0.000043525306,0.0000020765417,0.00006185675,0.000083704785,0.0000096548765,0.0024904993],"genre_scores_gemma":[0.99425757,0.000060688362,0.0048460257,0.0000069904427,0.0000020910115,0.000023949584,0.000093994,0.0000030859003,0.00070560817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992556,0.0003309794,0.000036350506,0.00008000167,0.0001690184,0.00012803057],"domain_scores_gemma":[0.9989011,0.0005285786,0.00012214326,0.000113403585,0.00024443932,0.000090233705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001817553,0.00041507315,0.00042265232,0.0025618551,0.0011518581,0.0009056514,0.00053947757,0.0005871142,0.0010047887],"category_scores_gemma":[0.0018648942,0.00014663122,0.00057669886,0.002200691,0.0007495857,0.0012106213,0.0008299561,0.00041829716,0.000096561715],"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":[0.0006163076,0.001184561,0.7366111,0.00018898233,0.0002472719,0.005925896,0.0050466782,0.08085789,0.007516023,0.007817067,0.0010149872,0.15297319],"study_design_scores_gemma":[0.000084798965,0.0011448778,0.697568,0.00006766394,0.00015171312,0.001441649,0.015111076,0.25746614,0.016733134,0.0049581034,0.005141581,0.00013124554],"about_ca_topic_score_codex":0.025202334,"about_ca_topic_score_gemma":0.04465614,"teacher_disagreement_score":0.025202334,"about_ca_system_score_codex":0.0020859423,"about_ca_system_score_gemma":0.0006793678,"threshold_uncertainty_score":0.050111294},"labels":[],"label_agreement":null},{"id":"W2066626129","doi":"10.1109/igarss.2014.6946930","title":"Stereo-based building detection in very high resolution satellite imagery using IHS color system","year":2014,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":20,"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 New Brunswick","funders":"","keywords":"Artificial intelligence; Computer vision; Hue; Computer science; Brightness; Satellite; Remote sensing; Segmentation; Image segmentation; Roof; Image resolution; Object detection; Geography; Engineering","score_opus":0.01398074120851722,"score_gpt":0.2025972673709231,"score_spread":0.18861652616240587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066626129","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":[0.75370276,0.00030488794,0.23407356,0.000073348536,0.000039177572,0.00009148592,0.00094066403,0.00243579,0.008338258],"genre_scores_gemma":[0.82478905,0.0001716092,0.1727008,0.00003647358,0.000017016504,0.000025699594,0.0008005209,0.00005762678,0.0014011753],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984634,0.000023551507,0.000004070579,0.000027656111,0.000070116344,0.000028236887],"domain_scores_gemma":[0.99984026,0.000019051517,0.000016624983,0.000028534489,0.000079762875,0.000015822572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023659105,0.0002288909,0.00019381431,0.0017221008,0.00012030373,0.00026896503,0.00021664423,0.00017284443,0.0012768771],"category_scores_gemma":[0.00024352524,0.0001182931,0.00023516185,0.0006684949,0.00016463066,0.00027220158,0.0002423458,0.00015906259,0.00066165335],"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":[0.0004116934,0.00013565933,0.015126843,0.00019605397,0.000059491565,0.00014486931,0.00016461573,0.008829954,0.5920039,0.0005189862,0.0019029141,0.380505],"study_design_scores_gemma":[0.00007011236,0.00036815464,0.21870452,0.00005209384,0.00016694816,0.0010487584,0.00045271634,0.42647552,0.3453582,0.00082457846,0.0063890778,0.00008938938],"about_ca_topic_score_codex":0.003566089,"about_ca_topic_score_gemma":0.0058970787,"teacher_disagreement_score":0.003566089,"about_ca_system_score_codex":0.00014894553,"about_ca_system_score_gemma":0.00020463389,"threshold_uncertainty_score":0.0070906878},"labels":[],"label_agreement":null},{"id":"W2070433251","doi":"10.5589/m02-010","title":"Classification d'ortho-photographies numérisées pour une cartographie à grande échelle de la végétation terrestre","year":2002,"lang":"fr","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cartography; Geography; Vegetation (pathology); Digital elevation model; Forestry; Remote sensing; Humanities; Physical geography; Geology; Art","score_opus":0.030367765438402403,"score_gpt":0.22730236368595252,"score_spread":0.1969345982475501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070433251","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":[0.42216033,0.0005128349,0.56856704,0.000109138666,0.00006489122,0.00026505158,0.0013336722,0.0018973172,0.00508975],"genre_scores_gemma":[0.5147988,0.00035086207,0.47871694,0.00003087763,0.000023404258,0.00020653821,0.0017969072,0.00014618515,0.003929503],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993734,0.0001361367,0.00004151246,0.00012329353,0.00029008058,0.000035669957],"domain_scores_gemma":[0.9985921,0.00043496757,0.00011766243,0.0003080641,0.0005067734,0.00004049513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001004269,0.0004550204,0.00045539922,0.0019117092,0.00021330529,0.0008756855,0.00028715862,0.00031737352,0.0021654745],"category_scores_gemma":[0.0022097877,0.00019586305,0.0004705193,0.0010460418,0.00030578417,0.0005119755,0.00029498804,0.0002651456,0.000786915],"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":[0.0004671285,0.0001490694,0.063792326,0.0004030263,0.00013489767,0.00015305325,0.00041471023,0.10004481,0.13283606,0.0018368044,0.0022481724,0.69751996],"study_design_scores_gemma":[0.00005328643,0.00017426768,0.2306033,0.00009244842,0.000093256174,0.00038185253,0.00044171096,0.68973434,0.06377018,0.0011105285,0.01347748,0.000067378096],"about_ca_topic_score_codex":0.0059501836,"about_ca_topic_score_gemma":0.008307277,"teacher_disagreement_score":0.0059501836,"about_ca_system_score_codex":0.0003330104,"about_ca_system_score_gemma":0.0003504483,"threshold_uncertainty_score":0.011831105},"labels":[],"label_agreement":null},{"id":"W2074333969","doi":"10.5539/jsd.v4n5p167","title":"Several Different Remote Sensing Image Classification Technology Analysis","year":2011,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Image (mathematics); Artificial neural network; Contextual image classification; Artificial intelligence; Pattern recognition (psychology); Key (lock); Remote sensing; Matrix (chemical analysis); Data mining; Geology","score_opus":0.0190378210965355,"score_gpt":0.2118846998469693,"score_spread":0.1928468787504338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074333969","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":[0.08338202,0.005374438,0.8622757,0.001483768,0.00071962975,0.00036455115,0.00079615193,0.002487051,0.04311678],"genre_scores_gemma":[0.5891882,0.007853358,0.36429805,0.0008663837,0.0005775379,0.00043102467,0.0021492043,0.0002880544,0.034348134],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986665,0.00012322525,0.000077256365,0.00023851803,0.0008096723,0.00008475522],"domain_scores_gemma":[0.99908555,0.000132986,0.000060954277,0.000076764074,0.00062228827,0.000021464532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094931433,0.0007583386,0.00054240256,0.0034993342,0.00048565993,0.0015024242,0.0007021058,0.00085911463,0.0031599398],"category_scores_gemma":[0.0018200843,0.00023640771,0.00108174,0.0035745318,0.00041090162,0.0017098188,0.00039841584,0.00056452677,0.0015942052],"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":[0.00013263179,0.00011284807,0.009968244,0.00059104146,0.00018164422,0.00022492357,0.00018731836,0.02075381,0.03171735,0.01198873,0.009658555,0.9144829],"study_design_scores_gemma":[0.000048907863,0.0002019745,0.062369704,0.0002163944,0.00041254697,0.0011075858,0.0005512755,0.6970481,0.11791403,0.018288432,0.10161307,0.00022801853],"about_ca_topic_score_codex":0.0038130772,"about_ca_topic_score_gemma":0.0027028634,"teacher_disagreement_score":0.0038130772,"about_ca_system_score_codex":0.0009662216,"about_ca_system_score_gemma":0.0005425003,"threshold_uncertainty_score":0.010571063},"labels":[],"label_agreement":null},{"id":"W2077993948","doi":"10.5539/jgg.v1n1p26","title":"The Disaster of May 12th Wenchuan Earthquake and Its Influence on Debris Flows","year":2009,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quake (natural phenomenon); Geology; Debris; Debris flow; Seismology; Mining engineering; Oceanography","score_opus":0.005818807608986926,"score_gpt":0.20147059617780128,"score_spread":0.19565178856881435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077993948","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":[0.9970926,0.00034108834,0.000027150878,0.0003130095,0.00002477726,0.000005233526,0.000076005046,0.0000018463634,0.0021182043],"genre_scores_gemma":[0.998585,0.00045166237,0.000017545199,0.000044826058,0.00003156552,0.0000034703748,0.00008279561,7.7638174e-7,0.00078242953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998299,0.000036082984,0.0000060898983,0.000017660064,0.000022003387,0.00008818553],"domain_scores_gemma":[0.9996245,0.000069761336,0.00008588536,0.000013752656,0.000053419964,0.00015262247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020756046,0.00015343184,0.00021636183,0.000968618,0.0009158838,0.0007620862,0.00020221945,0.00032328698,0.0025986703],"category_scores_gemma":[0.0007148992,0.0001467609,0.0002478992,0.00089095434,0.0006286753,0.00030490966,0.00086384034,0.00031591725,0.00012395499],"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":[0.00032286096,0.00016502583,0.9698734,0.000074449476,0.00007927335,0.00328164,0.0025843156,0.0007000631,0.0009388396,0.0012771585,0.0029220025,0.01778096],"study_design_scores_gemma":[0.0000050890703,0.000034473258,0.99637896,0.00001247088,0.000013310882,0.00013532037,0.0018810546,0.00020308491,0.000057751833,0.00022525612,0.0010459946,0.0000072450875],"about_ca_topic_score_codex":0.03158654,"about_ca_topic_score_gemma":0.047802534,"teacher_disagreement_score":0.03158654,"about_ca_system_score_codex":0.0007996571,"about_ca_system_score_gemma":0.000868386,"threshold_uncertainty_score":0.062805355},"labels":[],"label_agreement":null},{"id":"W2095242800","doi":"10.5539/jgg.v1n1p20","title":"Remote Sensing Image Based Analysis on Present Land Utilization of Chongqing Area","year":2009,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remote sensing; China; Resource (disambiguation); Satellite image; Geography; Environmental science; Land use; Satellite; Water resource management; Computer science; Civil engineering; Engineering","score_opus":0.013863658750245722,"score_gpt":0.23198390057101734,"score_spread":0.2181202418207716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095242800","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":[0.99824333,0.000038252758,0.00020386971,0.000008927135,9.0044955e-7,0.0000051699076,0.00066349254,0.000008455428,0.0008275687],"genre_scores_gemma":[0.9983374,0.00006354823,0.0003023525,0.0000029484274,0.0000018966405,0.000005077368,0.0007396547,0.000002965941,0.00054412603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999027,0.000008771749,0.000009899667,0.000024459865,0.00002870561,0.000025375071],"domain_scores_gemma":[0.9998349,0.000016510925,0.00005358425,0.000012759032,0.000055269746,0.000026857448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015702922,0.00023534801,0.00012383566,0.0024090572,0.0002079414,0.00025035976,0.00020259329,0.00011059019,0.0020211306],"category_scores_gemma":[0.00024964087,0.00011324258,0.0001975729,0.0022663386,0.0001199444,0.00032642024,0.00019612073,0.00007125588,0.0001854615],"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":[0.00028055854,0.00010833561,0.9105539,0.00013599284,0.000081738035,0.00040854464,0.0010832333,0.006096407,0.024894008,0.00036975363,0.0010384925,0.05494912],"study_design_scores_gemma":[0.000002652441,0.00001694015,0.99514586,0.0000047942376,0.000013527224,0.0000525582,0.00034603316,0.0031773977,0.0007060803,0.000022570146,0.00050688983,0.000004654997],"about_ca_topic_score_codex":0.04522666,"about_ca_topic_score_gemma":0.0699679,"teacher_disagreement_score":0.04522666,"about_ca_system_score_codex":0.00074609724,"about_ca_system_score_gemma":0.00024931665,"threshold_uncertainty_score":0.08992684},"labels":[],"label_agreement":null},{"id":"W2103651093","doi":"10.1109/tbme.2009.2025962","title":"Effect of Vergence Adaptation on Convergence–Accommodation: Model Simulations","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":12,"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":"Accommodation; Vergence (optics); Convergence (economics); Adaptation (eye); Computer science; Artificial intelligence; Optics; Physics","score_opus":0.011281450544413443,"score_gpt":0.22224812066027227,"score_spread":0.21096667011585885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103651093","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":[0.9574619,0.00050824037,0.020444378,0.00046431393,0.0000506625,0.00015140802,0.0012597503,0.00026990368,0.019389443],"genre_scores_gemma":[0.9948319,0.00013229901,0.003191132,0.000051807852,0.0000063150583,0.00016082672,0.00028486116,0.000027909247,0.0013129812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998548,0.000047474907,0.000009253138,0.000024102033,0.000020510235,0.000043778247],"domain_scores_gemma":[0.9979487,0.0014526021,0.00015499158,0.00008552806,0.00027645417,0.000081662365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006096779,0.00055476825,0.0009821141,0.00059158035,0.0005087131,0.00076688704,0.0012153537,0.0019436743,0.0038162249],"category_scores_gemma":[0.0032661217,0.00035291907,0.001020143,0.0004594688,0.00050044723,0.0006252216,0.0007466492,0.00097467046,0.0003051752],"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":[0.000089212605,0.000059287508,0.0016343391,0.000055765828,0.000020792888,0.000060881124,0.00005603617,0.995252,0.0005244801,0.0012058361,0.00020968674,0.00083171355],"study_design_scores_gemma":[0.000045711135,0.000040522198,0.0006677386,0.000009469828,0.000016724767,0.00000995421,0.00002829302,0.99826896,0.00022390984,0.00048020334,0.00019949093,0.000009143081],"about_ca_topic_score_codex":0.04059561,"about_ca_topic_score_gemma":0.01644968,"teacher_disagreement_score":0.04059561,"about_ca_system_score_codex":0.0010463683,"about_ca_system_score_gemma":0.0009466661,"threshold_uncertainty_score":0.08071864},"labels":[],"label_agreement":null},{"id":"W2110639104","doi":"10.1016/j.enggeo.2004.06.004","title":"A review of landslide problems and mitigation measures in Chongqing and Hong Kong:","year":2004,"lang":"en","type":"review","venue":"Engineering Geology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Landslide; Rockfall; Natural hazard; Flooding (psychology); Environmental planning; Geography; Civil engineering; Forensic engineering; Geology; Engineering; Geotechnical engineering; Meteorology","score_opus":0.017200089428198374,"score_gpt":0.22448505622301973,"score_spread":0.20728496679482136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110639104","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":[0.00075961143,0.9981488,0.000111510715,0.0002307563,0.00015221385,0.000010330039,0.00009734136,0.0000051420557,0.0004842943],"genre_scores_gemma":[0.0015203778,0.99775654,0.00017814702,0.000114554685,0.000052571948,0.00000601221,0.00006850308,8.201959e-7,0.00030244616],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996983,0.000036353504,0.00009298326,0.000049116443,0.00009402819,0.000029289022],"domain_scores_gemma":[0.999295,0.00019767968,0.0001794935,0.000015677864,0.00027111187,0.00004091636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010592167,0.0009832648,0.0018184226,0.0038872599,0.00030795057,0.0010879874,0.0010608344,0.00076144,0.0023788544],"category_scores_gemma":[0.0013023472,0.00038450313,0.0005658344,0.008336413,0.0004053131,0.0014144543,0.0005507394,0.00047631108,0.0003720733],"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":[0.00008109419,0.00006772146,0.0030086765,0.049864378,0.00024045364,0.0003116052,0.00029328736,0.00100022,0.0008651137,0.001347902,0.025824444,0.91709507],"study_design_scores_gemma":[0.00003263403,0.00029435175,0.025564436,0.016206643,0.0008583302,0.0012552213,0.00093598606,0.0002915382,0.0007567878,0.0006043618,0.953133,0.000066746514],"about_ca_topic_score_codex":0.029806267,"about_ca_topic_score_gemma":0.06150729,"teacher_disagreement_score":0.029806267,"about_ca_system_score_codex":0.0015371954,"about_ca_system_score_gemma":0.006095681,"threshold_uncertainty_score":0.059265554},"labels":[],"label_agreement":null},{"id":"W2115799842","doi":"10.1109/igarss.2001.977932","title":"Texture analysis for urban spatial pattern study using SPOT imagery","year":2002,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Science Foundation","keywords":"Panchromatic film; Texture (cosmology); Artificial intelligence; Beijing; Pattern recognition (psychology); Computer science; Image texture; Computer vision; Cartography; Image (mathematics); Geography; Image processing","score_opus":0.03539706861284547,"score_gpt":0.23152882598725757,"score_spread":0.1961317573744121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115799842","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":[0.90867275,0.00016286218,0.086905934,0.000082963445,0.000014366077,0.00007733147,0.0009024632,0.0005239762,0.002657376],"genre_scores_gemma":[0.9687062,0.000098641125,0.029525487,0.0000074342033,0.000013742815,0.00003291678,0.00086031685,0.000029988913,0.00072537264],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979967,0.000029570256,0.000007686252,0.000026157151,0.00010938037,0.000027554335],"domain_scores_gemma":[0.9997385,0.000058103495,0.000036809583,0.000035850095,0.00010941374,0.000021336547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029455722,0.00023059882,0.00026214134,0.0014628669,0.00012610138,0.00037314018,0.00014651244,0.00010446824,0.001230585],"category_scores_gemma":[0.00057478977,0.00009945784,0.00025794492,0.0013110072,0.00013538594,0.00025271144,0.00016250102,0.00012938224,0.00024343145],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008773406,0.00026110836,0.11140679,0.0003511952,0.0001405237,0.0006580353,0.00033864935,0.0397088,0.2537861,0.0018839213,0.0030653696,0.5875222],"study_design_scores_gemma":[0.000046368088,0.00035735202,0.5109488,0.000014276323,0.00008745817,0.0008274488,0.00043942666,0.4416352,0.03934164,0.0010282728,0.0052280044,0.00004580337],"about_ca_topic_score_codex":0.0030537418,"about_ca_topic_score_gemma":0.004050814,"teacher_disagreement_score":0.0030537418,"about_ca_system_score_codex":0.00017775259,"about_ca_system_score_gemma":0.00015885434,"threshold_uncertainty_score":0.006071985},"labels":[],"label_agreement":null},{"id":"W2119049971","doi":"10.5539/cis.v2n2p137","title":"Based on Delaunay Triangulation DEM of Terrain Model","year":2009,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digital elevation model; Terrain; Terrain rendering; Computer science; Elevation (ballistics); Raised-relief map; Geographic information system; Remote sensing; Computer graphics (images); Computer vision; Geology; Cartography; Geography; Geometry; Mathematics","score_opus":0.011150801971140992,"score_gpt":0.21386009814500248,"score_spread":0.2027092961738615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119049971","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":[0.0101015875,0.0006942994,0.9504699,0.0002817527,0.00030405112,0.0003299197,0.0069496883,0.004936444,0.025932387],"genre_scores_gemma":[0.30665755,0.002127176,0.62429464,0.00021649044,0.0001766615,0.0006807287,0.04119488,0.0008609789,0.023790916],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999283,0.000070002905,0.000046241435,0.00017408517,0.00037273671,0.000053955355],"domain_scores_gemma":[0.99964285,0.00003324735,0.000026072237,0.00007212128,0.00021012852,0.000015559257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002263627,0.00088108465,0.0006734671,0.0028592923,0.0006175878,0.0016342658,0.0011748922,0.000701284,0.011546747],"category_scores_gemma":[0.0014211636,0.00046258944,0.00084855524,0.0033650198,0.0003218671,0.0016294158,0.0013499426,0.00077398354,0.00629045],"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":[0.00017393107,0.000061520266,0.0052339276,0.00073933566,0.00009888692,0.0007766785,0.0006691595,0.191636,0.010062432,0.03031352,0.07294708,0.6872875],"study_design_scores_gemma":[0.000049412058,0.0000523858,0.0047029075,0.00021403606,0.0000707976,0.0008755231,0.0007052999,0.7607175,0.009619498,0.023158316,0.19968215,0.00015214877],"about_ca_topic_score_codex":0.007589374,"about_ca_topic_score_gemma":0.007873946,"teacher_disagreement_score":0.011546747,"about_ca_system_score_codex":0.0005115021,"about_ca_system_score_gemma":0.00083896774,"threshold_uncertainty_score":0.038627744},"labels":[],"label_agreement":null},{"id":"W2126014213","doi":"10.1109/icpr.1994.576945","title":"Extraction of peripheral shape features in Chinese character recognition","year":2002,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Character (mathematics); Feature extraction; Artificial intelligence; Computer science; Pixel; Pattern recognition (psychology); Feature (linguistics); Character recognition; Set (abstract data type); Chinese characters; Image (mathematics); Computer vision; Mathematics; Linguistics","score_opus":0.01886310192400434,"score_gpt":0.22112643845659646,"score_spread":0.20226333653259213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126014213","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":[0.60174525,0.001107211,0.38923147,0.00013435863,0.000041539683,0.00010349481,0.0004092038,0.0010703488,0.0061570853],"genre_scores_gemma":[0.88546205,0.00043635865,0.11062149,0.000032097883,0.000030686046,0.00004834333,0.000570308,0.000068680245,0.0027299114],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979633,0.000028054832,0.0000124615035,0.000041981115,0.00008401322,0.00003716392],"domain_scores_gemma":[0.9995365,0.00012535536,0.00005950987,0.00004520068,0.0001940024,0.00003950301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025873486,0.0003551199,0.00035763485,0.0020734495,0.00028654575,0.0005361215,0.00022233324,0.00023909958,0.0008424203],"category_scores_gemma":[0.0009783398,0.0001715125,0.0002366576,0.0018541894,0.00033268356,0.0005660097,0.00031662761,0.00025652954,0.0005000562],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042117882,0.000055308,0.01092957,0.00019368748,0.000027293492,0.0005378458,0.00020805726,0.009301676,0.23984647,0.0016490493,0.0011924815,0.73563737],"study_design_scores_gemma":[0.00004486304,0.00044216544,0.22034204,0.000055444183,0.00015968923,0.0026216018,0.00043403808,0.52706754,0.23141438,0.0045740604,0.01273037,0.000113797716],"about_ca_topic_score_codex":0.0023912918,"about_ca_topic_score_gemma":0.0022714722,"teacher_disagreement_score":0.0023912918,"about_ca_system_score_codex":0.00022933258,"about_ca_system_score_gemma":0.00033364785,"threshold_uncertainty_score":0.004754722},"labels":[],"label_agreement":null},{"id":"W2128339142","doi":"10.1186/2193-1801-3-597","title":"An assessment of the predictors of the dynamics in arable production per capita index, arable production and permanent cropland and forest area based on structural equation models","year":2014,"lang":"en","type":"article","venue":"SpringerPlus","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Arable land; Index (typography); Production (economics); Per capita; Industrial production index; Environmental science; Structural equation modeling; Forestry; Geography; Statistics; Agriculture; Computer science; Environmental health; Mathematics; Medicine; Economics; Population","score_opus":0.010708851059293284,"score_gpt":0.21592532602923292,"score_spread":0.20521647496993964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128339142","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":[0.9896917,0.00031963814,0.0074970694,0.0005747824,0.000024771965,0.000048754267,0.0008172652,0.000052557305,0.00097349094],"genre_scores_gemma":[0.99624,0.00017860634,0.0025519296,0.000018171237,0.000013604437,0.000036775516,0.00068899244,0.0000056761405,0.00026629862],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981488,0.0012621447,0.00006955161,0.00023336729,0.000113928465,0.00017217964],"domain_scores_gemma":[0.9888987,0.009092454,0.0009483838,0.0002461914,0.00054904626,0.00026528683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044354703,0.0011247493,0.00061091426,0.0024656162,0.00049694814,0.0012066966,0.00057519804,0.00048777502,0.0029122478],"category_scores_gemma":[0.010734231,0.00045651407,0.0010677761,0.0022494646,0.00041148666,0.0012324267,0.0008574095,0.0010484044,0.0002950339],"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":[0.00008411767,0.00012245144,0.968875,0.00005067918,0.00035491513,0.00018126807,0.00054134766,0.0153031405,0.00023645375,0.0016860116,0.0004827688,0.012081831],"study_design_scores_gemma":[0.00004064314,0.0004732528,0.5416046,0.00015487666,0.00051968795,0.0001811557,0.002208575,0.44922695,0.0005208666,0.0035251079,0.0014979464,0.000046311132],"about_ca_topic_score_codex":0.022597926,"about_ca_topic_score_gemma":0.022223465,"teacher_disagreement_score":0.022597926,"about_ca_system_score_codex":0.0010357171,"about_ca_system_score_gemma":0.0018895871,"threshold_uncertainty_score":0.044932783},"labels":[],"label_agreement":null},{"id":"W2136085826","doi":"10.1109/igarss.1989.578751","title":"Eigenvector Projection Transformation and Dimension Size Reduction in Remote Sensing Data Processing","year":2005,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dimensionality reduction; Transformation (genetics); Reduction (mathematics); Dimension (graph theory); Projection (relational algebra); Computer science; Eigenvalues and eigenvectors; Data reduction; Artificial intelligence; Computer vision; Mathematics; Algorithm; Data mining; Physics; Geometry; Combinatorics","score_opus":0.02719500265045207,"score_gpt":0.2453373316485989,"score_spread":0.2181423289981468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136085826","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013678524,0.00016909536,0.9837536,0.000120915836,0.00005434611,0.00013048957,0.00011574625,0.0006820675,0.0012951139],"genre_scores_gemma":[0.057180908,0.00022801195,0.94056207,0.0000312378,0.000049455106,0.00024618866,0.00030557785,0.0002064664,0.001190128],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996396,0.0017817008,0.00018888769,0.0003887547,0.0011272661,0.0001174245],"domain_scores_gemma":[0.9961139,0.0021630868,0.0001656259,0.00048506973,0.001021089,0.00005113451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028751816,0.0008703666,0.0006959225,0.0015532278,0.0006795041,0.0011115458,0.00045633028,0.00040255833,0.0031342322],"category_scores_gemma":[0.012235303,0.00040120864,0.0007179128,0.0035070896,0.000967621,0.0015545128,0.0009962554,0.0009484008,0.0012609912],"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":[0.0002773397,0.00016946581,0.002525285,0.00031679924,0.00009193527,0.0002376954,0.00050082395,0.052609343,0.04230398,0.036220104,0.005147792,0.8595994],"study_design_scores_gemma":[0.000098577,0.0004488499,0.010850873,0.00006739526,0.00010308176,0.00096418953,0.00039862018,0.77210206,0.099046275,0.08057371,0.035167307,0.00017911241],"about_ca_topic_score_codex":0.001663335,"about_ca_topic_score_gemma":0.0016210984,"teacher_disagreement_score":0.0031342322,"about_ca_system_score_codex":0.00035008733,"about_ca_system_score_gemma":0.001045566,"threshold_uncertainty_score":0.015205562},"labels":[],"label_agreement":null},{"id":"W2140921326","doi":"10.5539/jsd.v3n2p221","title":"Remote Sensing and Geographic Information System for Inferring Land Cover and Land Use Change in Wuhan (China), 1987-2006","year":2010,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Land cover; China; Land use; Cultivated land; Geography; Physical geography; Remote sensing; Geographic information system; Environmental science; Ecology","score_opus":0.010454699365992061,"score_gpt":0.19853984481529705,"score_spread":0.188085145449305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140921326","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":[0.9953576,0.00012741212,0.0016345427,0.00008906547,0.000004867943,0.000064796935,0.0017573552,0.000038240043,0.0009260849],"genre_scores_gemma":[0.9895955,0.00010143718,0.0057538603,0.000013065442,0.0000037290094,0.0000638645,0.0037730653,0.0000046004893,0.0006908696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963796,0.00009049968,0.000032341268,0.000049606053,0.00014167585,0.00004792967],"domain_scores_gemma":[0.9995086,0.00007774542,0.00011639858,0.0000675596,0.00018931807,0.00004027579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011287637,0.00027440206,0.00021444379,0.001984043,0.00024588822,0.00031778894,0.0002859688,0.00015308798,0.00038870107],"category_scores_gemma":[0.0018411507,0.00015839361,0.00023412377,0.0017309776,0.00014981127,0.00047096217,0.00040465794,0.00016840528,0.000115290335],"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":[0.00008061407,0.00010643187,0.89713067,0.0000718864,0.00021177894,0.00016731075,0.000366219,0.013323082,0.002651373,0.00081631984,0.002213015,0.08286122],"study_design_scores_gemma":[0.000015833277,0.000058025136,0.9190771,0.000019566449,0.00007890838,0.000046324316,0.00039712264,0.07514811,0.0021442259,0.00023826356,0.0027619575,0.000014408967],"about_ca_topic_score_codex":0.17820174,"about_ca_topic_score_gemma":0.26309854,"teacher_disagreement_score":0.17820174,"about_ca_system_score_codex":0.0018267296,"about_ca_system_score_gemma":0.0019885737,"threshold_uncertainty_score":0.354329},"labels":[],"label_agreement":null},{"id":"W2145836296","doi":"10.5539/ass.v7n12p91","title":"Economic Performance Evaluation on Land Circulation in Modern Agricultural Planting Parks---- Based on Survey Data in Chengdu","year":2011,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Circulation (fluid dynamics); Agriculture; Sowing; Agricultural economics; Geography; Field survey; Hierarchy; Agricultural land; Business; Economics; Operations research; Engineering","score_opus":0.07754263158265733,"score_gpt":0.26268906508226586,"score_spread":0.18514643349960852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145836296","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":[0.9995982,0.0000208218,0.000078853234,0.000005942838,3.6470527e-7,0.0000030077285,0.000064701104,0.000001012202,0.00022710003],"genre_scores_gemma":[0.9997532,0.000017575243,0.00006782658,7.294502e-7,6.4405197e-7,0.0000027992462,0.000098087796,2.3503135e-7,0.00005897401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942446,0.00012565128,0.00005677564,0.00007357705,0.00018460683,0.00013501268],"domain_scores_gemma":[0.9988367,0.0002974959,0.00026616646,0.00005859796,0.00038933702,0.0001517873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085527496,0.00020810521,0.0002118995,0.0019476003,0.0003657723,0.000707985,0.0002468499,0.00015934996,0.00058273145],"category_scores_gemma":[0.0017867448,0.00008179349,0.0003018979,0.0028055615,0.00023935434,0.0006891786,0.0005843304,0.00010900663,0.00005155586],"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":[0.00008195928,0.000050293194,0.97740114,0.00004811576,0.00004827304,0.000332638,0.0009000874,0.0031133732,0.0010746177,0.00017970504,0.00011891084,0.016650762],"study_design_scores_gemma":[0.0000023936625,0.00007083093,0.9918984,0.000007155049,0.000016087411,0.000045524062,0.001785519,0.0055508404,0.000320243,0.000048329734,0.00024928685,0.000005440544],"about_ca_topic_score_codex":0.037765443,"about_ca_topic_score_gemma":0.057502396,"teacher_disagreement_score":0.037765443,"about_ca_system_score_codex":0.0015183439,"about_ca_system_score_gemma":0.00057893124,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2146552791","doi":"10.1109/igarss.2006.767","title":"Research on Hyperspectral Model for Blacksoil Organic Matter Estimation in Songnen Plain, China","year":2006,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","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; Satellite; Hyperspectral imaging; Computer science; Meteorology; Environmental science; Geology; Aerospace engineering; Physics; Engineering","score_opus":0.029138741637107377,"score_gpt":0.2774474721098253,"score_spread":0.2483087304727179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146552791","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":[0.88395077,0.00022391384,0.11245825,0.00019033445,0.000020662197,0.000026006817,0.00029623252,0.00018994877,0.0026438823],"genre_scores_gemma":[0.98959655,0.000097420016,0.0075965235,0.000016299784,0.00000923675,0.000011826529,0.0004759973,0.000015061585,0.0021811498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999138,0.00001488551,0.0000037419863,0.00003170495,0.000019693034,0.000016180318],"domain_scores_gemma":[0.99987733,0.000048233916,0.000013057675,0.000009529424,0.00004170462,0.000010032273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035053602,0.00033079862,0.00022656762,0.00034171244,0.00033120092,0.00042427913,0.0004575887,0.00022816466,0.0007415649],"category_scores_gemma":[0.00047511866,0.00014618407,0.00031375044,0.00047036278,0.00013361787,0.0006963531,0.00019745709,0.0002025732,0.00011687743],"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":[0.00020096858,0.00020364748,0.071596734,0.00006671605,0.00012986203,0.00010406147,0.00013512932,0.7800374,0.018518616,0.0030498172,0.0014096545,0.124547414],"study_design_scores_gemma":[0.0000024233318,0.000004355974,0.008424887,6.7019903e-7,0.000006792722,0.0000029932376,0.000018811554,0.9903966,0.0008501667,0.00019263987,0.00009726772,0.0000024063684],"about_ca_topic_score_codex":0.10082637,"about_ca_topic_score_gemma":0.08582702,"teacher_disagreement_score":0.10082637,"about_ca_system_score_codex":0.00059173035,"about_ca_system_score_gemma":0.0008918114,"threshold_uncertainty_score":0.20047903},"labels":[],"label_agreement":null},{"id":"W2148955138","doi":"10.1109/igarss.1996.516452","title":"SAR image segmentation by mathematical morphology and texture analysis","year":2002,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":18,"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":"Université de Sherbrooke","keywords":"Synthetic aperture radar; Artificial intelligence; Image segmentation; Mathematical morphology; Computer science; Context (archaeology); Image texture; Segmentation; Land cover; Computer vision; Remote sensing; Radar imaging; Pixel; Enhanced Data Rates for GSM Evolution; Pattern recognition (psychology); Texture (cosmology); Image (mathematics); Geography; Image processing; Land use; Radar; Engineering","score_opus":0.009884680888444705,"score_gpt":0.20601707322770968,"score_spread":0.19613239233926497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148955138","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":[0.0037081703,0.00038530584,0.9938478,0.00010969409,0.00005496593,0.000029498067,0.000027080516,0.00031399974,0.0015234607],"genre_scores_gemma":[0.08422663,0.0012196513,0.9080928,0.00013322217,0.00020783374,0.00006351569,0.00022003325,0.00032302242,0.005513218],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996878,0.000038288385,0.000020287913,0.00006902875,0.00015670819,0.000027890666],"domain_scores_gemma":[0.99968195,0.00010346237,0.00005355653,0.00006092532,0.000085540916,0.000014591263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034977504,0.00064112304,0.0006203709,0.0017524076,0.0002822108,0.0011507247,0.0005619317,0.0007785095,0.0013172664],"category_scores_gemma":[0.0007848955,0.0004586632,0.0010621051,0.0012554714,0.0007792788,0.0011634489,0.00036792297,0.0005089862,0.001537049],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010545319,0.0000873446,0.0009513815,0.00039531622,0.000109586756,0.0004796583,0.00019239934,0.061287288,0.25095373,0.05249949,0.0029006992,0.6300377],"study_design_scores_gemma":[0.000037254,0.00026735084,0.0035956297,0.00004617706,0.00008353861,0.0020623158,0.00005670912,0.74733794,0.15330072,0.04337893,0.049738325,0.00009523673],"about_ca_topic_score_codex":0.0005151827,"about_ca_topic_score_gemma":0.0007105058,"teacher_disagreement_score":0.0017524076,"about_ca_system_score_codex":0.00035316325,"about_ca_system_score_gemma":0.00027068605,"threshold_uncertainty_score":0.0044066906},"labels":[],"label_agreement":null},{"id":"W2152261845","doi":"10.1109/igarss.2006.589","title":"A Global Crop Growth Monitoring System Based on Remote Sensing","year":2006,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":18,"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":"Crop; Agriculture; Growing season; Crop yield; Agricultural engineering; Environmental science; Geography; Agronomy; Engineering; Biology","score_opus":0.01000658294746567,"score_gpt":0.19915546215119181,"score_spread":0.18914887920372614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152261845","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2525314,0.001626219,0.6409136,0.0005717506,0.00062691007,0.0012381915,0.014360837,0.052718878,0.035412207],"genre_scores_gemma":[0.78362167,0.0006269973,0.18566573,0.00037733113,0.00020057551,0.0008281315,0.01618329,0.0003823609,0.012113933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999503,0.000059790826,0.00002397055,0.00021797945,0.00015246149,0.000042743046],"domain_scores_gemma":[0.9996679,0.000029331179,0.000046741814,0.000056730358,0.00016200896,0.000037344664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056366296,0.00089986774,0.0006830671,0.0014884099,0.00039338053,0.0005764922,0.0006303945,0.00047283617,0.0028019566],"category_scores_gemma":[0.0004126738,0.0002276043,0.0003234735,0.0014197871,0.00015933189,0.0010609778,0.00092047715,0.00042604987,0.0012334666],"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":[0.0006857493,0.00038330385,0.05017001,0.0006263574,0.00026104623,0.00043144907,0.00046150642,0.02596245,0.1479791,0.00315605,0.04422558,0.7256574],"study_design_scores_gemma":[0.00032295813,0.0012948315,0.15088277,0.0001423546,0.0004431828,0.000694432,0.00038451364,0.6325883,0.0928716,0.003921171,0.11616244,0.00029137154],"about_ca_topic_score_codex":0.0034770307,"about_ca_topic_score_gemma":0.003283225,"teacher_disagreement_score":0.0034770307,"about_ca_system_score_codex":0.0003750383,"about_ca_system_score_gemma":0.00053058664,"threshold_uncertainty_score":0.009373486},"labels":[],"label_agreement":null},{"id":"W2152287018","doi":"10.5430/ijba.v4n5p79","title":"Study on the Dynamics Simulation of Quantity Change in Cultivated Land Resources in Chongqing City","year":2013,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cultivated land; Unit (ring theory); System dynamics; Agricultural engineering; Reduction (mathematics); Land use; Yield (engineering); Agricultural economics; Computer science; Mathematics; Civil engineering; Economics","score_opus":0.0621505189210832,"score_gpt":0.30209829858550485,"score_spread":0.23994777966442166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152287018","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":[0.98957914,0.000050264767,0.005638935,0.00019610114,0.000013064079,0.00002246327,0.00043073535,0.000085929954,0.0039833356],"genre_scores_gemma":[0.9982023,0.00004132856,0.0008350936,0.00000707198,0.0000016030111,0.000015390542,0.00021076389,0.000009392594,0.000677057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979216,0.000055118526,0.000011985489,0.00004162208,0.00003874742,0.000060343806],"domain_scores_gemma":[0.9997143,0.0000999086,0.00003973161,0.000020662283,0.0000742423,0.000051166473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042440006,0.0004298337,0.0003700797,0.0007356836,0.000626699,0.00094533665,0.0007293796,0.0005817722,0.001964781],"category_scores_gemma":[0.0010072499,0.00031203605,0.00063443737,0.0010456528,0.00040180495,0.0009614341,0.0006888903,0.00040299047,0.00010157935],"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":[0.00003928701,0.000044460947,0.028313024,0.000023841596,0.00003253152,0.00025354465,0.00015219927,0.9651982,0.0008928726,0.002138205,0.00048692105,0.0024249798],"study_design_scores_gemma":[0.000012306463,0.00001835444,0.007409124,0.0000038713006,0.000012784792,0.000015224813,0.00018688991,0.99096656,0.00032878274,0.00045358174,0.0005823941,0.000010151802],"about_ca_topic_score_codex":0.101828866,"about_ca_topic_score_gemma":0.043375283,"teacher_disagreement_score":0.101828866,"about_ca_system_score_codex":0.0021664526,"about_ca_system_score_gemma":0.0014574358,"threshold_uncertainty_score":0.20247233},"labels":[],"label_agreement":null},{"id":"W2155194985","doi":"10.5539/jas.v1n1p21","title":"The Grey Situation Decision Analysis on Regional Distribution of Grain and Oil Crops","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sorting; Adaptability; Agriculture; Distribution (mathematics); Agricultural science; Geography; Agricultural economics; Agricultural engineering; Business; Environmental science; Mathematics; Economics; Engineering; Archaeology","score_opus":0.009502815000611137,"score_gpt":0.22045210323892225,"score_spread":0.2109492882383111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155194985","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":[0.73853797,0.00042514692,0.23642324,0.0011935036,0.00006118637,0.00035044382,0.0009903131,0.00013533181,0.021882832],"genre_scores_gemma":[0.9880801,0.00011391585,0.010374655,0.000018543846,0.000008842797,0.00003938948,0.00017636802,0.0000061983333,0.0011820107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977139,0.0010040236,0.000105975596,0.0003504396,0.0005459697,0.00027976502],"domain_scores_gemma":[0.99763536,0.0014600884,0.00019726802,0.00008038578,0.00046276423,0.00016405847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027487893,0.0005833491,0.0006218656,0.0034305365,0.0007495107,0.0016431967,0.0005861972,0.0005167651,0.0045470875],"category_scores_gemma":[0.00726577,0.00028409646,0.0011149681,0.002242419,0.001194841,0.002314613,0.00084253674,0.0005052056,0.00018041927],"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":[0.0007209754,0.00023101803,0.058850866,0.00045106382,0.0005335976,0.0017003665,0.0018132875,0.7177453,0.0034570172,0.11091681,0.004175942,0.099403836],"study_design_scores_gemma":[0.000042136515,0.0001240493,0.015971383,0.000034337012,0.00012460895,0.00013894864,0.0011533009,0.9239308,0.0011912265,0.055669863,0.0015601661,0.00005914819],"about_ca_topic_score_codex":0.017490692,"about_ca_topic_score_gemma":0.0147521105,"teacher_disagreement_score":0.017490692,"about_ca_system_score_codex":0.003639393,"about_ca_system_score_gemma":0.0017679991,"threshold_uncertainty_score":0.03477776},"labels":[],"label_agreement":null},{"id":"W2159224190","doi":"10.1061/9780784412435.084","title":"Population Forecast and Control in the Development of International New District: A Case Study on Fengdong New District in Xixian New Area","year":2012,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Population; Control (management); Urban district; Population control; Value (mathematics); Computer science; Lake district; Geography; Operations research; Environmental planning; Engineering; Artificial intelligence; Sociology; Research methodology; Demography; Family planning","score_opus":0.0440275896978213,"score_gpt":0.2518479990157645,"score_spread":0.20782040931794318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159224190","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":[0.99729687,0.000055766,0.00064941676,0.000116063165,0.0000038599824,0.000014023763,0.000031424726,0.0000035548023,0.0018291003],"genre_scores_gemma":[0.998993,0.000065730645,0.00033856943,0.0000043264968,0.0000019989336,0.0000070500423,0.00002751554,8.20532e-7,0.00056100555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997199,0.00010053511,0.00000969364,0.00003567882,0.000044759847,0.00008936245],"domain_scores_gemma":[0.999617,0.00017791838,0.00005588475,0.000022895303,0.000043918695,0.00008228208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056966435,0.00020038207,0.00020846447,0.00047521404,0.0009811934,0.0006625475,0.00053749484,0.00061621086,0.0013077635],"category_scores_gemma":[0.0010823038,0.00012680654,0.00030422962,0.00061089033,0.00065468944,0.0005685643,0.0005400602,0.00050904974,0.000062070794],"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":[0.00039014753,0.0014155692,0.727442,0.00013107684,0.00010556656,0.018337741,0.016862797,0.15065499,0.0017578527,0.014220058,0.002924575,0.06575773],"study_design_scores_gemma":[0.000100460114,0.0010937984,0.55145293,0.00007778311,0.00015900504,0.0020805323,0.09218371,0.3304798,0.0026745088,0.004470222,0.015089655,0.00013760568],"about_ca_topic_score_codex":0.08294845,"about_ca_topic_score_gemma":0.12531182,"teacher_disagreement_score":0.08294845,"about_ca_system_score_codex":0.002148247,"about_ca_system_score_gemma":0.0011388361,"threshold_uncertainty_score":0.16493124},"labels":[],"label_agreement":null},{"id":"W2160152622","doi":"10.1080/01431160050021312","title":"Comparison of three different methods to select feature for discriminating forest cover types using SAR imagery","year":2000,"lang":"en","type":"article","venue":"International Journal of Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":20,"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":"Pattern recognition (psychology); Principal component analysis; Artificial intelligence; Computer science; Feature selection; Land cover; Partition (number theory); Artificial neural network; Feature (linguistics); Data mining; Mathematics; Land use","score_opus":0.0487945942552737,"score_gpt":0.3579496431276622,"score_spread":0.3091550488723885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160152622","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48010546,0.0011115349,0.51412135,0.00021939783,0.00007468438,0.00032856863,0.00026936075,0.0010813557,0.002688217],"genre_scores_gemma":[0.6323226,0.00057081116,0.36485842,0.0000556109,0.00004013728,0.00030522986,0.0004696009,0.00012108395,0.0012564656],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999006,0.00037236302,0.0000761472,0.0001036061,0.00037221183,0.000069822374],"domain_scores_gemma":[0.9968419,0.0020529581,0.00012986174,0.00011604352,0.00078897935,0.00007025018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002401508,0.0010504258,0.00063119683,0.0027318527,0.00032094202,0.00062880374,0.0005410407,0.00043074592,0.00073133956],"category_scores_gemma":[0.0050024367,0.00028418098,0.000754465,0.001276612,0.00031276696,0.0005805848,0.0003665314,0.0003411685,0.00026667232],"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":[0.0015345177,0.00052141614,0.021005368,0.00066372735,0.00067141384,0.000120076205,0.0004488756,0.051477183,0.05234909,0.001180491,0.0012054519,0.8688224],"study_design_scores_gemma":[0.00047878607,0.0021766948,0.09631403,0.000086985456,0.00087549,0.0005208464,0.0006144745,0.82425886,0.069829956,0.0015820093,0.0030588864,0.00020299757],"about_ca_topic_score_codex":0.0038416383,"about_ca_topic_score_gemma":0.0051637026,"teacher_disagreement_score":0.0038416383,"about_ca_system_score_codex":0.00025947866,"about_ca_system_score_gemma":0.0005157261,"threshold_uncertainty_score":0.012700498},"labels":[],"label_agreement":null},{"id":"W2167549396","doi":"10.1111/j.1523-1739.2011.01759.x","title":"An Adaptive Radiation of Texts","year":2011,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Remote Sensing and Land Use","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":"Environmental science","score_opus":0.052247673565836976,"score_gpt":0.23731320472147707,"score_spread":0.1850655311556401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167549396","genre_codex":"other","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":[0.004868166,0.080553964,0.018904528,0.06981004,0.021928208,0.00016157437,0.0018623087,0.0008545287,0.8010566],"genre_scores_gemma":[0.113398984,0.06448601,0.03443789,0.026051922,0.017701969,0.00073065964,0.0029586467,0.0029007187,0.7373332],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99634856,0.0015098923,0.0002512499,0.00079295714,0.0009308939,0.00016645547],"domain_scores_gemma":[0.99375844,0.003066389,0.00043078017,0.0010508995,0.0011740548,0.00051946647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031211076,0.00094067986,0.0007716844,0.005239868,0.003939338,0.0117328465,0.0016034616,0.0018232742,0.05577641],"category_scores_gemma":[0.012847348,0.00054628693,0.0005073246,0.0038355961,0.009433655,0.012966102,0.006038411,0.0038771105,0.017521258],"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":[0.000049578968,0.000027849394,0.00039715465,0.0004129432,0.000013623182,0.0001237565,0.011772592,0.00012646773,0.000356199,0.45454767,0.35614452,0.17602757],"study_design_scores_gemma":[0.0000024281233,0.0000071625473,0.0002550806,0.00031971672,0.0000022049041,0.00012687832,0.0011692193,0.00004727872,0.000046737357,0.025821034,0.97219616,0.000006108663],"about_ca_topic_score_codex":0.002039942,"about_ca_topic_score_gemma":0.003130577,"teacher_disagreement_score":0.05577641,"about_ca_system_score_codex":0.0037412308,"about_ca_system_score_gemma":0.0029065416,"threshold_uncertainty_score":0.18659073},"labels":[],"label_agreement":null},{"id":"W2171402701","doi":"10.1109/igarss.1989.567172","title":"Application Of Gis And Remote Sensing for Lineament Mapping Of Structural Features In Tie Rouyn-beauchastel Property, Quebec","year":2005,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lineament; Property (philosophy); Remote sensing; Computer science; Geology; Seismology","score_opus":0.013353446369685254,"score_gpt":0.22394595976812046,"score_spread":0.2105925133984352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171402701","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":[0.9551237,0.0006845038,0.006654465,0.0006179369,0.000029272593,0.00026917885,0.0074989814,0.00024193716,0.028879983],"genre_scores_gemma":[0.97119665,0.00030726995,0.009686173,0.000055844248,0.000005979007,0.00009937831,0.0027267402,0.000042436768,0.015879557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996841,0.00006724912,0.00001258441,0.0000628917,0.000104930565,0.00006826477],"domain_scores_gemma":[0.9992849,0.00014752985,0.000052054347,0.00003796432,0.000392521,0.0000850657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003955667,0.00028960974,0.00020506007,0.0016129123,0.0014781134,0.0011275224,0.0007029528,0.00023016983,0.0058232606],"category_scores_gemma":[0.0013712086,0.00022317919,0.0002272773,0.002739115,0.00044437824,0.00037402162,0.00044713044,0.00030731913,0.00046910325],"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":[0.0003805417,0.00026415748,0.6429885,0.00023947694,0.00014094016,0.0009243196,0.0034597502,0.028174851,0.008077574,0.0033353905,0.011023684,0.30099082],"study_design_scores_gemma":[0.000049678714,0.00006004513,0.9415757,0.000082704304,0.000033884466,0.00009376355,0.0031325044,0.03328382,0.0012876258,0.00022279962,0.020146033,0.000031468404],"about_ca_topic_score_codex":0.9918771,"about_ca_topic_score_gemma":0.9965578,"teacher_disagreement_score":0.014908058,"about_ca_system_score_codex":0.014908058,"about_ca_system_score_gemma":0.010664191,"threshold_uncertainty_score":0.10816604},"labels":[],"label_agreement":null},{"id":"W2171947283","doi":"","title":"Detecting Land Cover Change over a 20 Year Time Period in the Niagara Escarpment Plan Using Satellite Remote Sensing","year":2009,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":4,"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":"Escarpment; Period (music); Satellite; Remote sensing; Land cover; Cover (algebra); Plan (archaeology); Geography; Environmental science; Meteorology; Land use; Engineering; Archaeology; Civil engineering; Art","score_opus":0.018127823772612413,"score_gpt":0.19722172151891043,"score_spread":0.17909389774629803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171947283","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":[0.9972077,0.0000711937,0.000101467864,0.000028441505,0.0000021762596,0.000043792123,0.0014322799,0.000011039475,0.0011020111],"genre_scores_gemma":[0.99519074,0.00018071635,0.00083349255,0.000016353686,0.0000029770943,0.00006418843,0.0022534246,0.0000031945715,0.0014550098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998273,0.000015541125,0.000011651816,0.00004501007,0.000068292524,0.000032164306],"domain_scores_gemma":[0.9995109,0.0000426586,0.00012609287,0.000023880064,0.00023332456,0.00006317111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014829352,0.00017935294,0.00015864846,0.0011240622,0.0005666491,0.0005632403,0.00031050955,0.00019038828,0.00042045157],"category_scores_gemma":[0.00049218256,0.00012645203,0.0001404185,0.0018738207,0.00027483725,0.00020806574,0.00030278196,0.00016076979,0.00013229353],"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":[0.000096250034,0.000049531856,0.9838627,0.000040970408,0.000051019873,0.00041238774,0.0012862912,0.0006120876,0.0026773158,0.000044741388,0.0008222651,0.010044408],"study_design_scores_gemma":[0.0000015433122,0.00001591336,0.9978555,0.0000040142104,0.000005865582,0.00002908001,0.00092340406,0.0004261155,0.00018120871,0.0000026353769,0.0005523497,0.00000232049],"about_ca_topic_score_codex":0.84057134,"about_ca_topic_score_gemma":0.9557293,"teacher_disagreement_score":0.15942866,"about_ca_system_score_codex":0.0032031317,"about_ca_system_score_gemma":0.0016011464,"threshold_uncertainty_score":0.3207351},"labels":[],"label_agreement":null},{"id":"W2182679614","doi":"","title":"LAND COVER AND LAND USE CHANGE DETECTION OF BEIJING WITH TEXTURAL INFORMATION FROM SATELLITE REMOTE SENSING DATA","year":2007,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Western University","funders":"","keywords":"Beijing; Remote sensing; Multispectral image; Land cover; Geography; China; Land use; Satellite; Change detection; Environmental resource management; Advanced Spaceborne Thermal Emission and Reflection Radiometer; Satellite imagery; Environmental planning; Environmental science; Digital elevation model; Engineering; Civil engineering","score_opus":0.03784890967893584,"score_gpt":0.21759289752155933,"score_spread":0.1797439878426235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182679614","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":[0.99847883,0.000043513108,0.0003359014,0.00002026535,0.0000014810906,0.000010421744,0.00019177802,0.000016304208,0.0009016233],"genre_scores_gemma":[0.9982766,0.000030265472,0.0007798819,0.0000042949605,0.0000019914098,0.0000073789156,0.0004437497,0.000002778305,0.00045300578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985576,0.000027126622,0.000009308926,0.000030647694,0.000051942014,0.000025169647],"domain_scores_gemma":[0.99977595,0.000039276467,0.000052443957,0.00002223342,0.00006744272,0.000042672476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023973873,0.0002831133,0.00018825135,0.00096502004,0.00021792475,0.00030330778,0.0002357898,0.00021365355,0.00086111686],"category_scores_gemma":[0.00060780445,0.00015908566,0.00012994691,0.0010601948,0.00015755251,0.00041344634,0.00023965923,0.00009136871,0.00017115212],"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":[0.0011530521,0.00033128393,0.74792606,0.00021770835,0.00020228153,0.0020962623,0.0009319227,0.027906418,0.064804465,0.00040036853,0.0018857348,0.15214443],"study_design_scores_gemma":[0.000020119956,0.00007495294,0.9599035,0.0000054577417,0.00003961656,0.00012569409,0.00030149572,0.034121793,0.0045999903,0.0000797228,0.0007132824,0.000014518462],"about_ca_topic_score_codex":0.04462923,"about_ca_topic_score_gemma":0.073624395,"teacher_disagreement_score":0.04462923,"about_ca_system_score_codex":0.0008402706,"about_ca_system_score_gemma":0.00027748756,"threshold_uncertainty_score":0.08873892},"labels":[],"label_agreement":null},{"id":"W2243618291","doi":"","title":"TOOLS FOR IDENTIFYING FUNCTIONS OF TYPE III SECRETION SYSTEM EFFECTORS FROM SHIGELLA FLEXNERI","year":2013,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shigella flexneri; Type three secretion system; Effector; Secretion; Shigella; Type (biology); Computer science; Microbiology; Biology; Escherichia coli; Bacteria; Immunology; Genetics; Salmonella; Gene; Virulence; Biochemistry; Ecology","score_opus":0.00808148366498456,"score_gpt":0.1475833087080723,"score_spread":0.13950182504308772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243618291","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64114386,0.0057393378,0.28819153,0.0009938371,0.0001806096,0.0012436555,0.029676659,0.01958138,0.013249184],"genre_scores_gemma":[0.4050334,0.0051194425,0.5311087,0.00036882382,0.000027793447,0.0012262594,0.040035162,0.0019337412,0.015146746],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996221,0.00003871361,0.000036279875,0.000040950523,0.0002083673,0.000053591393],"domain_scores_gemma":[0.99967515,0.00009690623,0.000058321537,0.00006022556,0.000052769275,0.000056676374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060405384,0.0009218503,0.00064112974,0.0018873187,0.000525882,0.00081404386,0.0007764532,0.00044137536,0.002925334],"category_scores_gemma":[0.00074257434,0.0006081965,0.00080813747,0.0007102029,0.00025722192,0.00042049985,0.000728245,0.00075622095,0.00252545],"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":[0.00021736995,0.00010519095,0.0013416836,0.00019772761,0.00003047067,0.00037962344,0.00011159982,0.000327406,0.97653383,0.00057472993,0.0011255001,0.019054957],"study_design_scores_gemma":[0.00011281872,0.00031985473,0.0075981333,0.00009388354,0.0000770445,0.001367664,0.00012850434,0.0027395624,0.93677676,0.0008049887,0.04993198,0.000048819606],"about_ca_topic_score_codex":0.0023573628,"about_ca_topic_score_gemma":0.0052833008,"teacher_disagreement_score":0.002925334,"about_ca_system_score_codex":0.00064315763,"about_ca_system_score_gemma":0.0007432568,"threshold_uncertainty_score":0.009786248},"labels":[],"label_agreement":null},{"id":"W2275279225","doi":"10.14288/1.0071720","title":"Employing advanced airborne remotely sensed data to improve terrestrial ecosystem mapping","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"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 British Columbia","funders":"","keywords":"Remote sensing; Environmental science; Terrestrial ecosystem; Ecosystem; Geography; Ecology","score_opus":0.03918809493497371,"score_gpt":0.18429265679501527,"score_spread":0.14510456186004156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275279225","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":[0.56768084,0.00916452,0.2886188,0.0024939014,0.00026955563,0.0006458738,0.023284622,0.0046971543,0.103144795],"genre_scores_gemma":[0.5298875,0.0077672917,0.44091183,0.00042984987,0.0000888519,0.0001128069,0.010818856,0.00030336037,0.009679642],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996228,0.0000438468,0.000012439359,0.000045291745,0.00023923669,0.000036350622],"domain_scores_gemma":[0.9993399,0.00012299758,0.000051602117,0.000109396926,0.00034896785,0.000027236087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008352315,0.00042977452,0.00023296897,0.0021473374,0.00035669067,0.0017590106,0.00038555177,0.00023786082,0.0023448016],"category_scores_gemma":[0.0014714873,0.00016677375,0.0002267926,0.0031151357,0.00021957769,0.0009655139,0.0006549906,0.0004763928,0.00091965887],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024706855,0.000095211144,0.061838713,0.0003808322,0.0000973957,0.00014866515,0.00064723875,0.017693922,0.025974298,0.0034069133,0.0101625975,0.8795295],"study_design_scores_gemma":[0.00003590433,0.00015894487,0.55210125,0.0008981349,0.00021993816,0.00034667848,0.0040978855,0.114305906,0.028940776,0.011387158,0.2873614,0.00014597345],"about_ca_topic_score_codex":0.13227606,"about_ca_topic_score_gemma":0.28385007,"teacher_disagreement_score":0.13227606,"about_ca_system_score_codex":0.00074660184,"about_ca_system_score_gemma":0.0015357827,"threshold_uncertainty_score":0.26301223},"labels":[],"label_agreement":null},{"id":"W2292059666","doi":"10.14288/1.0099571","title":"Modelling surface structure and temperature of relevance to remote sensing of cities","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Remote sensing; Relevance (law); Environmental science; Geography; Computer science; Political science","score_opus":0.007032400484657701,"score_gpt":0.15622906527091865,"score_spread":0.14919666478626095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292059666","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":[0.8501043,0.00026199938,0.1336584,0.0003828193,0.000036696456,0.000097183496,0.0008159692,0.00026373364,0.014378956],"genre_scores_gemma":[0.9925403,0.00010159525,0.005783528,0.000014073721,0.0000068146155,0.000031044696,0.00019966591,0.000029809473,0.0012930764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998871,0.000027987684,0.0000038783614,0.000033388435,0.00002524737,0.000022276963],"domain_scores_gemma":[0.9998461,0.000071563176,0.000023003122,0.000017495664,0.000032559266,0.000009330646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001530582,0.00041580855,0.000265677,0.00024014161,0.0003084304,0.0009167683,0.0006710619,0.00083394244,0.0010474304],"category_scores_gemma":[0.0008249269,0.0003205176,0.0006558604,0.00053573406,0.00054101803,0.00078053557,0.0004316089,0.00050043914,0.00020470473],"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":[0.000008006973,0.0000068951595,0.0025865764,0.000007850846,0.000004292946,0.00002442959,0.000021432104,0.9939306,0.000818146,0.0013297404,0.00006306687,0.0011990535],"study_design_scores_gemma":[0.0000032055236,0.0000072155385,0.0019840868,0.0000024643648,0.0000023014743,0.000008327033,0.000017193353,0.99654204,0.000304269,0.00088854146,0.00023604897,0.000004282067],"about_ca_topic_score_codex":0.042985238,"about_ca_topic_score_gemma":0.027142981,"teacher_disagreement_score":0.042985238,"about_ca_system_score_codex":0.001622369,"about_ca_system_score_gemma":0.0006647852,"threshold_uncertainty_score":0.08547008},"labels":[],"label_agreement":null},{"id":"W2301398174","doi":"10.1080/07038992.2015.1065705","title":"Biparabolic NDVI-T<sub>s</sub> Space and Soil Moisture Remote Sensing in an Arid and Semi arid Area","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Normalized Difference Vegetation Index; Moderate-resolution imaging spectroradiometer; Arid; Environmental science; Vegetation (pathology); Remote sensing; Water content; Geography; Satellite; Geology; Physics; Climate change","score_opus":0.020430486233632278,"score_gpt":0.20831952117954014,"score_spread":0.18788903494590786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301398174","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":[0.9926745,0.00027493597,0.0041908273,0.0000300923,0.0000043461105,0.000017896591,0.0012774623,0.00004633734,0.0014836366],"genre_scores_gemma":[0.9927067,0.00008699055,0.0051356615,0.000009947283,0.0000035085015,0.000017233158,0.0016152597,0.0000046686046,0.0004199838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998611,0.000041867883,0.000011855351,0.000033328015,0.0000378418,0.000014079115],"domain_scores_gemma":[0.99986374,0.000042103035,0.000026862579,0.000013373638,0.000039363385,0.000014562996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033636898,0.00015394269,0.00009200889,0.0010316903,0.0001247272,0.00029322185,0.00018657981,0.00013349547,0.00053573074],"category_scores_gemma":[0.00045063184,0.00009222604,0.00012761587,0.0012924942,0.00014723213,0.00029968403,0.00016749423,0.00006349197,0.00011043559],"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":[0.00030543288,0.00012699007,0.76691496,0.0002539754,0.00022333492,0.0004666274,0.00078304915,0.010878131,0.041574243,0.00090198655,0.001734414,0.17583685],"study_design_scores_gemma":[0.0000068883805,0.000028339,0.9737081,0.000008113262,0.000021478401,0.00013055348,0.0002995301,0.021721587,0.0017748974,0.00016939777,0.0021192299,0.000012040802],"about_ca_topic_score_codex":0.020201523,"about_ca_topic_score_gemma":0.04229089,"teacher_disagreement_score":0.020201523,"about_ca_system_score_codex":0.00029200717,"about_ca_system_score_gemma":0.00019941552,"threshold_uncertainty_score":0.04016787},"labels":[],"label_agreement":null},{"id":"W2309790504","doi":"","title":"Characteristics of maximum and minimum temperature change in Dunhuang oasis in recent 55 years","year":2010,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Maximum temperature; Mean radiant temperature; Environmental science; Climatology; Atmospheric sciences; Climate change; Geology; Biology; Ecology","score_opus":0.015533229556395224,"score_gpt":0.22162492431728922,"score_spread":0.206091694760894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309790504","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":[0.9988949,0.00015464073,0.000048375532,0.000020722928,0.0000055194064,0.0000023841856,0.00046926274,0.00000439439,0.00039989484],"genre_scores_gemma":[0.9990557,0.00008667016,0.000057811136,0.0000046135406,0.0000063568755,0.000003926132,0.0005729441,8.3085274e-7,0.0002112827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998839,0.000009501508,0.000014300432,0.000030532443,0.000026665051,0.00003508553],"domain_scores_gemma":[0.9997278,0.000025105777,0.0001229434,0.000011730248,0.00006767953,0.00004473984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016640982,0.00014769347,0.00015763786,0.00075617625,0.00026713876,0.00031833322,0.00015594234,0.00012331519,0.0007846487],"category_scores_gemma":[0.0003911147,0.00007453398,0.00016282129,0.0011881143,0.00014713978,0.00015795307,0.00011443961,0.00015133314,0.00009000858],"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":[0.00011155091,0.000014832688,0.9873652,0.00004723336,0.000059450715,0.00024411546,0.0005591414,0.00027826798,0.0039632297,0.0000649271,0.00031851686,0.0069736415],"study_design_scores_gemma":[8.7416606e-7,0.000008685681,0.99935514,0.0000012831958,0.0000047971,0.00004022305,0.00014042987,0.00007972242,0.000065780245,0.0000041087064,0.0002973785,0.0000015165173],"about_ca_topic_score_codex":0.034303315,"about_ca_topic_score_gemma":0.07249833,"teacher_disagreement_score":0.034303315,"about_ca_system_score_codex":0.00063742267,"about_ca_system_score_gemma":0.00023568665,"threshold_uncertainty_score":0.068207264},"labels":[],"label_agreement":null},{"id":"W2310241858","doi":"","title":"A low-cost rice mapping remote sensing based algorithm","year":2013,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Permission; Brother; Computer science; Corporation; Section (typography); Remote sensing; Engineering; Algorithm; Geography; Law; Political science","score_opus":0.015178349027754804,"score_gpt":0.19711872080993936,"score_spread":0.18194037178218456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310241858","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016958667,0.0003856145,0.9732798,0.000266882,0.00022267227,0.00009150512,0.00039728498,0.0041718176,0.004225815],"genre_scores_gemma":[0.112784564,0.00033151975,0.8691396,0.00021869424,0.00013230997,0.00016387786,0.0022793475,0.0003353739,0.014614692],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997794,0.000028751794,0.000008794973,0.000059083475,0.000089486995,0.00003447541],"domain_scores_gemma":[0.9998192,0.00002555238,0.000009830475,0.00003646642,0.0000962691,0.00001276263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003964595,0.0006754394,0.00076542026,0.0008509423,0.00042985336,0.0007328469,0.0012241366,0.0006822486,0.0074983854],"category_scores_gemma":[0.0006702943,0.00033911568,0.00070147077,0.0011165076,0.00019588396,0.00083732535,0.000809044,0.0007475883,0.0059715523],"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":[0.00027655365,0.000114119066,0.001284719,0.00008865187,0.00008461713,0.00007681463,0.000046025547,0.07003555,0.03710507,0.0033242183,0.019681107,0.86788255],"study_design_scores_gemma":[0.00005625136,0.00005913459,0.0017462733,0.00001316324,0.00003852676,0.000114727816,0.000040094284,0.9727358,0.009191982,0.0024956737,0.013469726,0.000038639097],"about_ca_topic_score_codex":0.0046661925,"about_ca_topic_score_gemma":0.0055545005,"teacher_disagreement_score":0.0074983854,"about_ca_system_score_codex":0.00034778434,"about_ca_system_score_gemma":0.00092508993,"threshold_uncertainty_score":0.025084615},"labels":[],"label_agreement":null},{"id":"W2335297064","doi":"","title":"L'application de la teled6tection a I'estimation des superficies agricoles","year":2016,"lang":"fr","type":"article","venue":"","topic":"Remote Sensing and Land Use","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":"Estimator; Statistics; Estimation; Regression; Regression analysis; Mathematics; Geography; Computer science; Engineering","score_opus":0.01032665944229513,"score_gpt":0.2149028209345555,"score_spread":0.20457616149226038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335297064","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":[0.18299435,0.0011905336,0.803518,0.00027500404,0.00017237483,0.00013356959,0.0014304903,0.0016483366,0.0086373575],"genre_scores_gemma":[0.5203928,0.00143832,0.46127048,0.00014135193,0.00015024436,0.00020834424,0.001289424,0.00018010483,0.014928868],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991021,0.00023146666,0.000022335602,0.00030771305,0.0002825735,0.000053706943],"domain_scores_gemma":[0.99827373,0.0010835748,0.00017859755,0.00016530856,0.00027354952,0.000025157902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009641911,0.00071943016,0.00047173005,0.0011723455,0.0003782369,0.000993114,0.0007407385,0.0006683726,0.00540731],"category_scores_gemma":[0.0025972137,0.00025987282,0.0005223254,0.0016367129,0.00056967326,0.00080284406,0.00041284316,0.000670546,0.001415336],"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":[0.0002444803,0.00013453644,0.05776162,0.00027004423,0.00014472923,0.00012647983,0.00024712874,0.0337442,0.048110854,0.003298134,0.0019669777,0.8539508],"study_design_scores_gemma":[0.0002002506,0.0010090459,0.25010055,0.00015406932,0.00028870316,0.001967556,0.0006443451,0.52492446,0.14720286,0.0029499892,0.07028126,0.00027693444],"about_ca_topic_score_codex":0.013400343,"about_ca_topic_score_gemma":0.014547818,"teacher_disagreement_score":0.013400343,"about_ca_system_score_codex":0.00053771463,"about_ca_system_score_gemma":0.0007295422,"threshold_uncertainty_score":0.026644707},"labels":[],"label_agreement":null},{"id":"W2341815120","doi":"","title":"Study on Final Felling Age of Chinese Fir Plantation With Different Site Index in Guangxi","year":2016,"lang":"en","type":"article","venue":"Advances in natural science/Advances in natural sciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Felling; Site index; Index (typography); Forestry; Volume (thermodynamics); Geography; Mathematics; Agroforestry; Environmental science","score_opus":0.01112734236749861,"score_gpt":0.28108088859333313,"score_spread":0.2699535462258345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341815120","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":[0.99949646,0.000017225426,0.00015711572,0.000008851757,8.805814e-7,0.000001426053,0.00015190581,0.0000034833683,0.00016267177],"genre_scores_gemma":[0.99921453,0.0000130353865,0.000097195625,0.0000028842144,9.724856e-7,0.0000018412906,0.0004706041,0.0000014464314,0.00019747253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977225,0.000021973516,0.00001720171,0.00009017298,0.000035276502,0.00006314408],"domain_scores_gemma":[0.9994925,0.00011660624,0.00010890313,0.00005801247,0.00011228777,0.00011174008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006144532,0.00018799755,0.00017862026,0.00064492907,0.00030611057,0.00033169513,0.00032918566,0.00021846335,0.000835037],"category_scores_gemma":[0.0007549245,0.00013795687,0.00039932784,0.00056036026,0.00021105162,0.00037175152,0.00020281864,0.00023541981,0.00012285264],"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":[0.000031353644,0.000013542191,0.9946084,0.000006757558,0.000017827888,0.00019923766,0.00043104956,0.0009857656,0.0010471268,0.0001429812,0.00011916918,0.002396727],"study_design_scores_gemma":[9.967454e-7,0.000014346776,0.99668664,0.0000018900892,0.0000057902676,0.00006514381,0.00023765863,0.0026417219,0.00012958421,0.000039968814,0.00017300606,0.0000033361691],"about_ca_topic_score_codex":0.022421861,"about_ca_topic_score_gemma":0.047771703,"teacher_disagreement_score":0.022421861,"about_ca_system_score_codex":0.0005066055,"about_ca_system_score_gemma":0.00031191265,"threshold_uncertainty_score":0.044582725},"labels":[],"label_agreement":null},{"id":"W2346460189","doi":"10.15625/0866-7187/37/4/8297","title":"Monitoring influence of urbanization on urban thermal environment using multi-temporal LANDSAT imagery: application to Da Nang city","year":2016,"lang":"en","type":"article","venue":"Vietnam Journal of Earth Sciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"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":"Urbanization; Geography; Urban heat island; Context (archaeology); Remote sensing; Downtown; Environmental science; Land use; Satellite imagery; Cartography; Physical geography; Meteorology; Civil engineering; Archaeology","score_opus":0.028797322522255253,"score_gpt":0.2471432410146499,"score_spread":0.21834591849239465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346460189","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":[0.99788034,0.00006478299,0.000491785,0.000043763484,0.0000045691877,0.000021059455,0.00048871466,0.000034030323,0.00097099046],"genre_scores_gemma":[0.99714535,0.00010466359,0.001637616,0.0000120492605,0.0000042448014,0.000031360472,0.00065703,0.0000047021167,0.00040294742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998822,0.000024613051,0.0000075955845,0.000031776744,0.000029391571,0.000024337205],"domain_scores_gemma":[0.99986446,0.000018238949,0.000029567997,0.00001676438,0.000045046785,0.000025898258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000228513,0.00031401945,0.00017383098,0.0010059231,0.00029033655,0.0005242022,0.00023064061,0.00022245177,0.00029336865],"category_scores_gemma":[0.00022429657,0.00013704524,0.00026725009,0.0016476035,0.00016306477,0.00029823981,0.00032907428,0.00019183602,0.00007426962],"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":[0.0001602307,0.00021008226,0.8911331,0.00013339284,0.00013886055,0.0011592577,0.0013113162,0.021811308,0.017914476,0.0003390021,0.0015132257,0.064175606],"study_design_scores_gemma":[0.000008027563,0.000039291044,0.95757073,0.000012868321,0.0000541729,0.000087218395,0.0017499615,0.036330804,0.0020503802,0.00008379156,0.0019886068,0.000024118532],"about_ca_topic_score_codex":0.057617884,"about_ca_topic_score_gemma":0.11217774,"teacher_disagreement_score":0.057617884,"about_ca_system_score_codex":0.000657711,"about_ca_system_score_gemma":0.00052653253,"threshold_uncertainty_score":0.114565015},"labels":[],"label_agreement":null},{"id":"W2347483310","doi":"","title":"Management strategies of land-use space change——Take Kuancheng District,Changchun City,Jilin Province for instance","year":2015,"lang":"en","type":"article","venue":"Journal of Northeast Normal University","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Homogeneity (statistics); Homogeneous; Land use; Space (punctuation); Land management; Geography; Environmental resource management; Environmental planning; Land use, land-use change and forestry; Grid; Business; Computer science; Civil engineering; Environmental science; Mathematics","score_opus":0.044617783105755184,"score_gpt":0.20903363423097746,"score_spread":0.16441585112522228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347483310","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":[0.81760263,0.0085200155,0.039780945,0.041097496,0.000729511,0.0010023338,0.0008834651,0.00062736706,0.08975615],"genre_scores_gemma":[0.9783211,0.0017207826,0.010450595,0.00045212018,0.000035044024,0.00017200386,0.0002647635,0.00001062442,0.008573047],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997327,0.000045557175,0.000018153201,0.000052052594,0.00005849211,0.0000931074],"domain_scores_gemma":[0.99979,0.000014209791,0.0000314587,0.000012166779,0.000073534786,0.00007862377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031225392,0.00037951695,0.00014938104,0.0014262674,0.0020406167,0.0015874042,0.00074030284,0.00049709145,0.0017164373],"category_scores_gemma":[0.00039580677,0.00014825378,0.0002035692,0.0020062164,0.00074146705,0.001273038,0.0013582174,0.0003545176,0.00016369259],"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":[0.00013501923,0.0003934899,0.29943067,0.0013686633,0.00015196539,0.0027386385,0.011316844,0.016728466,0.0253861,0.046457693,0.05161769,0.54427475],"study_design_scores_gemma":[0.0000810368,0.00028458086,0.607631,0.00034873097,0.0001703022,0.0009255502,0.06950498,0.019570166,0.008588879,0.022221005,0.270508,0.00016571238],"about_ca_topic_score_codex":0.04358537,"about_ca_topic_score_gemma":0.10851213,"teacher_disagreement_score":0.04358537,"about_ca_system_score_codex":0.0035308343,"about_ca_system_score_gemma":0.0039959373,"threshold_uncertainty_score":0.086663306},"labels":[],"label_agreement":null},{"id":"W2347648769","doi":"","title":"A New Robust Approach for Remote Sensing Image Regional Classification","year":2007,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"L'Alliance Boviteq","funders":"","keywords":"Computer science; Artificial intelligence; Contextual image classification; Pattern recognition (psychology); Kernel (algebra); Resampling; Feature (linguistics); Kernel density estimation; Image (mathematics); Remote sensing; Mathematics; Geography","score_opus":0.03863732612142536,"score_gpt":0.22552086711132993,"score_spread":0.18688354098990456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347648769","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":[0.0013458872,0.00018995027,0.997638,0.000041215833,0.00003171289,0.000015321932,0.000033894587,0.00038118922,0.0003228517],"genre_scores_gemma":[0.098324746,0.0005099562,0.89654064,0.00015324658,0.00024480536,0.00013625444,0.0004977074,0.00024458414,0.0033480558],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980475,0.00026039977,0.000108237036,0.00061014027,0.0008535802,0.000120121644],"domain_scores_gemma":[0.99916065,0.00016169914,0.00012957599,0.0001880708,0.00032850407,0.000031445074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014041943,0.0009888422,0.0015222048,0.0023925856,0.00048563472,0.0012424653,0.0016851288,0.0011066572,0.0014932341],"category_scores_gemma":[0.0027366858,0.0005132625,0.0018527729,0.0018361283,0.0007487215,0.0018363659,0.001067375,0.001241069,0.0012457649],"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":[0.00012503815,0.00008169806,0.0010182704,0.000252751,0.00029803082,0.00018364174,0.000120026656,0.1439524,0.04718929,0.037496764,0.0067591183,0.7625229],"study_design_scores_gemma":[0.000010701839,0.00006361135,0.00080488,0.000011856729,0.00007276091,0.00022721104,0.00002186513,0.9637694,0.012369466,0.012142992,0.010452844,0.00005250477],"about_ca_topic_score_codex":0.0023434479,"about_ca_topic_score_gemma":0.0018883043,"teacher_disagreement_score":0.0023925856,"about_ca_system_score_codex":0.00072110805,"about_ca_system_score_gemma":0.0006543411,"threshold_uncertainty_score":0.0074262023},"labels":[],"label_agreement":null},{"id":"W2347758156","doi":"","title":"Research on Renew and Urban Design of Waterfront Commercial District——A Case Study on Planning of Yuxiangzi District in Yueyang Tower Scenic Area","year":2009,"lang":"en","type":"article","venue":"Chinese and Overseas Architecture","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Tower; Geography; Civil engineering; Architectural engineering; Environmental planning; Engineering; Transport engineering; Archaeology","score_opus":0.055232807356768665,"score_gpt":0.3120087448541757,"score_spread":0.256775937497407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347758156","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":[0.98491144,0.00013028468,0.0021985094,0.00022383865,0.0000042322,0.00006481543,0.00003605613,0.000008035787,0.012422704],"genre_scores_gemma":[0.99440694,0.000096487696,0.001508987,0.0000077555305,8.453121e-7,0.0000133213025,0.000023301198,0.0000028106274,0.0039396766],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9996668,0.00016912537,0.0000088696015,0.000037123544,0.000049319544,0.00006874566],"domain_scores_gemma":[0.99982786,0.00006573058,0.000019899227,0.0000274837,0.00002613101,0.00003292114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004598829,0.00013503552,0.0001531293,0.0004282401,0.0022172322,0.0010975694,0.0005124977,0.00051570445,0.0029077842],"category_scores_gemma":[0.00053222675,0.00019949085,0.00019862119,0.0010018746,0.0012739154,0.00077828957,0.0006536193,0.00036598282,0.000112696],"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":[0.00030157907,0.0011666644,0.23535086,0.00092296035,0.00008610935,0.018986711,0.20730042,0.072487615,0.01970591,0.15748261,0.009220665,0.27698785],"study_design_scores_gemma":[0.00006868706,0.00085189985,0.22229205,0.00016511919,0.0000842315,0.0039480696,0.49864513,0.043482136,0.010732462,0.011127937,0.20852295,0.00007932878],"about_ca_topic_score_codex":0.03123445,"about_ca_topic_score_gemma":0.12911117,"teacher_disagreement_score":0.03123445,"about_ca_system_score_codex":0.0038766076,"about_ca_system_score_gemma":0.0022579096,"threshold_uncertainty_score":0.062105298},"labels":[],"label_agreement":null},{"id":"W2348071585","doi":"","title":"Landscape environmental design in residential quarter","year":2006,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Landscape design; Value (mathematics); Order (exchange); Environmental design; Environmental resource management; Landscape assessment; Environmental planning; Geography; Architectural engineering; Engineering; Environmental science; Civil engineering; Business; Computer science; Archaeology","score_opus":0.004750308677938671,"score_gpt":0.16627930614749084,"score_spread":0.16152899746955218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348071585","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":[0.69801015,0.00043764018,0.13345836,0.0004325877,0.000048979095,0.00007138551,0.00015394014,0.00023206304,0.16715479],"genre_scores_gemma":[0.9788093,0.00009930338,0.012637254,0.000017302234,0.00000539995,0.000015570029,0.00003920686,0.000022319038,0.008354444],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99976546,0.00010317186,0.0000071873474,0.00002356737,0.000062362305,0.00003836044],"domain_scores_gemma":[0.9998611,0.00002494211,0.000017245799,0.000023649154,0.000054452295,0.00001855468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000225489,0.00014590111,0.00013390587,0.00042324478,0.0004109723,0.0010972192,0.00025614267,0.00022437079,0.006512431],"category_scores_gemma":[0.0004801251,0.00012570473,0.00015333574,0.0005801357,0.00047536558,0.00050437346,0.0004538556,0.00013775469,0.00026428522],"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":[0.00039141427,0.00017809017,0.03263158,0.00030417863,0.000045657107,0.0010670421,0.0014454768,0.26812407,0.029768458,0.32811782,0.0067691477,0.3311571],"study_design_scores_gemma":[0.000041573272,0.0007684407,0.086733505,0.000088935274,0.00008416778,0.0019770095,0.0064590196,0.5600873,0.014385968,0.21691333,0.11238276,0.00007801512],"about_ca_topic_score_codex":0.0016656066,"about_ca_topic_score_gemma":0.0043239016,"teacher_disagreement_score":0.006512431,"about_ca_system_score_codex":0.0007936134,"about_ca_system_score_gemma":0.00034140048,"threshold_uncertainty_score":0.021786273},"labels":[],"label_agreement":null},{"id":"W2348151258","doi":"","title":"A GIS-based lightning-caused fire probability prediction model in Daxing'an Mountains of Heilongjiang Province","year":2015,"lang":"en","type":"article","venue":"Anhui Nongye Daxue xuebao","topic":"Remote Sensing and Land Use","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":"Lightning (connector); Environmental science; Meteorology; Logistic regression; Geography; Statistics; Mathematics","score_opus":0.0412923862690521,"score_gpt":0.23747204154432333,"score_spread":0.19617965527527123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348151258","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":[0.9818609,0.00004955162,0.016349722,0.00007057827,0.0000076012634,0.000030615305,0.00044768615,0.00026180453,0.0009215454],"genre_scores_gemma":[0.9962708,0.000032491767,0.0029388696,0.0000043954537,0.0000022674437,0.000019605386,0.000271566,0.000004087748,0.00045589783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999398,0.00000898822,0.0000051162465,0.000022311287,0.000010466986,0.00001325308],"domain_scores_gemma":[0.99989796,0.000036826408,0.000014667669,0.0000049859946,0.000032896147,0.000012604207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022133745,0.00049146573,0.00027563734,0.00043842098,0.0003145102,0.00043190728,0.00051367533,0.00023992764,0.0006965888],"category_scores_gemma":[0.00034862952,0.0002232654,0.0003114666,0.00032864252,0.00013238641,0.00028478907,0.00019224895,0.00021043955,0.00010250921],"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":[0.000102087746,0.00010633492,0.05541774,0.000026178326,0.000041237032,0.0001833758,0.00007877048,0.92578816,0.0014127315,0.00021993219,0.00037071094,0.01625279],"study_design_scores_gemma":[0.0000047641743,0.000010470678,0.004037686,0.000001253485,0.00000613301,0.0000067897117,0.00002456578,0.9956423,0.00016698707,0.000040914332,0.00005611409,0.0000021193337],"about_ca_topic_score_codex":0.14905642,"about_ca_topic_score_gemma":0.09148311,"teacher_disagreement_score":0.14905642,"about_ca_system_score_codex":0.0010078513,"about_ca_system_score_gemma":0.0012389966,"threshold_uncertainty_score":0.29637766},"labels":[],"label_agreement":null},{"id":"W2348321272","doi":"","title":"On the establishment of ecological agriculture system in the Northwest region","year":2001,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Agriculture; Ecological agriculture; Desertification; Water saving; Environmental science; Water resources; Environmental protection; Environmental resource management; Business; Agroforestry; Geography; Ecology; Water resource management","score_opus":0.016638767747803106,"score_gpt":0.18616118000908372,"score_spread":0.16952241226128062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348321272","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":[0.96190864,0.0003762294,0.00077626033,0.0004949446,0.0000073058022,0.000021369697,0.00011706675,0.00000797566,0.036290135],"genre_scores_gemma":[0.996869,0.00018079423,0.0005959466,0.000027332315,0.0000033481404,0.000004141042,0.00005630773,0.000001538972,0.0022616012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996389,0.00010283858,0.000013946667,0.00005444051,0.0000637916,0.0001260668],"domain_scores_gemma":[0.9991787,0.00008464308,0.00020032084,0.000026780886,0.00025496478,0.0002545299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006057113,0.000052776388,0.000076803895,0.0006368752,0.0011395735,0.0014443975,0.00020941794,0.00017452004,0.0021786417],"category_scores_gemma":[0.000746482,0.00007095821,0.00008230182,0.000739196,0.0008319368,0.0005885092,0.0007065584,0.00025614438,0.00020283277],"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":[0.00028468342,0.00012682036,0.8325234,0.00008430914,0.000017579787,0.0016509518,0.0065306504,0.00090689125,0.007997568,0.0718678,0.001763283,0.07624602],"study_design_scores_gemma":[0.0000058401,0.00007901267,0.9604859,0.000055365694,0.000010704486,0.00049795065,0.0096742455,0.0008897594,0.00073900766,0.0021190692,0.025433015,0.000010068813],"about_ca_topic_score_codex":0.047734518,"about_ca_topic_score_gemma":0.11679964,"teacher_disagreement_score":0.047734518,"about_ca_system_score_codex":0.002193406,"about_ca_system_score_gemma":0.002619062,"threshold_uncertainty_score":0.09491336},"labels":[],"label_agreement":null},{"id":"W2348385413","doi":"","title":"Prediction of lignin content of plantation poplar using near infrared spectroscopy method","year":2013,"lang":"en","type":"article","venue":"Nanjing Linye Daxue xuebao","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"FPInnovations","funders":"","keywords":"Calibration; Standard error; Near-infrared spectroscopy; Lignin; Principal component analysis; Analytical Chemistry (journal); Second derivative; Mean squared error; Derivative (finance); Chemistry; Materials science; Mathematics; Statistics; Environmental chemistry; Physics; Optics","score_opus":0.0581776919735821,"score_gpt":0.25108159673869873,"score_spread":0.19290390476511662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348385413","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":[0.8930693,0.00040116697,0.10449821,0.00004875406,0.00001250151,0.00003914119,0.0006862441,0.00050260517,0.0007421608],"genre_scores_gemma":[0.977468,0.0002768759,0.02033402,0.000018546594,0.0000039342763,0.00003638457,0.00087883725,0.000027884837,0.0009555386],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996772,0.000064914755,0.000013718234,0.00009824867,0.000115693256,0.000030225208],"domain_scores_gemma":[0.9998301,0.000046096484,0.000040733037,0.000013728147,0.00005728616,0.000011892737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048159578,0.0005897479,0.0003961641,0.0005388529,0.00014692024,0.00030040462,0.00023918759,0.00039206198,0.0005068697],"category_scores_gemma":[0.0004869268,0.00017800345,0.0005792053,0.0005709276,0.000092426424,0.0003490582,0.0001502748,0.0004138022,0.00035240653],"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":[0.00033438302,0.00044472778,0.08398284,0.00024439907,0.00014838016,0.00018011742,0.00010588083,0.118721135,0.7179345,0.0003030681,0.0007185009,0.0768821],"study_design_scores_gemma":[0.000028222421,0.00045013294,0.12788153,0.000013545398,0.00009482586,0.00011613335,0.00007594175,0.61783284,0.2519611,0.00037342968,0.0011011029,0.00007122837],"about_ca_topic_score_codex":0.0033562402,"about_ca_topic_score_gemma":0.0033997209,"teacher_disagreement_score":0.0033562402,"about_ca_system_score_codex":0.0002991203,"about_ca_system_score_gemma":0.00023981396,"threshold_uncertainty_score":0.0066733956},"labels":[],"label_agreement":null},{"id":"W2348810103","doi":"","title":"An effective Color Image Edge Detector method","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Detector; Computer vision; Artificial intelligence; Image gradient; Enhanced Data Rates for GSM Evolution; Color image; Edge detection; Image (mathematics); Process (computing); Representation (politics); Quaternion; Digital image; Image processing; Mathematics; Telecommunications","score_opus":0.0052972184293478275,"score_gpt":0.2513533311083251,"score_spread":0.24605611267897726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348810103","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":[0.002181618,0.00021620287,0.9955236,0.00005275263,0.00008332923,0.000029786825,0.000018924089,0.00049434707,0.001399577],"genre_scores_gemma":[0.05300471,0.00058352744,0.9386041,0.00017398137,0.000097483644,0.000086717315,0.00013829424,0.00012759924,0.0071834945],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993218,0.0000829341,0.000026730571,0.00011852443,0.0004092259,0.000040834773],"domain_scores_gemma":[0.9995413,0.00006612986,0.000021702192,0.000043400094,0.0003014834,0.000026069218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050846126,0.0006837995,0.00082953234,0.0015122297,0.000357085,0.000835583,0.00096113875,0.00079284207,0.0037569446],"category_scores_gemma":[0.00072235777,0.00042930339,0.00056278205,0.0010210152,0.000358252,0.0013714194,0.0006137336,0.00082999567,0.001673671],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011392704,0.0000829142,0.0006185419,0.00021327143,0.000065057015,0.00015896957,0.000067342524,0.008990674,0.15117641,0.028128348,0.0068290937,0.8035555],"study_design_scores_gemma":[0.000085518564,0.00028611085,0.0021136953,0.000053562002,0.00015943288,0.0014724658,0.00007349382,0.6354335,0.28528818,0.011401307,0.063453674,0.00017897217],"about_ca_topic_score_codex":0.0006340134,"about_ca_topic_score_gemma":0.00062427897,"teacher_disagreement_score":0.0037569446,"about_ca_system_score_codex":0.0003260271,"about_ca_system_score_gemma":0.0004340349,"threshold_uncertainty_score":0.012568235},"labels":[],"label_agreement":null},{"id":"W2348833312","doi":"","title":"Analysis on the Combining Ability of Starch Content and Their Components in Glutinous Sorghum Grain","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Amylopectin; Sorghum; Starch; Amylose; Heterosis; Food science; Agronomy; Horticulture; Mathematics; Chemistry; Botany; Biology; Hybrid","score_opus":0.08090433800881183,"score_gpt":0.21368789134970012,"score_spread":0.1327835533408883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348833312","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":[0.9994709,0.00005866509,0.00023983739,0.000003011418,5.2196424e-7,0.0000016381792,0.000071212795,0.0000062186487,0.0001480292],"genre_scores_gemma":[0.99895966,0.000046530506,0.00031891247,0.0000045259603,9.581472e-7,0.0000056402437,0.000300766,0.0000055382516,0.00035738683],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999853,0.000024661815,0.000020938496,0.000041486623,0.00003852751,0.000021280179],"domain_scores_gemma":[0.9994831,0.0001363021,0.00012374767,0.00008056101,0.000058082835,0.00011817649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021434219,0.00029969375,0.00023190588,0.0008551641,0.00013228584,0.00020581835,0.000111273424,0.00013505341,0.0006711816],"category_scores_gemma":[0.00025363837,0.00014210357,0.0002785489,0.00044973948,0.00016294711,0.00014616804,0.0002461331,0.00023342256,0.00010505765],"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":[0.00013680082,0.000012371511,0.005223664,0.000014375545,0.000022840657,0.000036868805,0.00006681046,0.000040414066,0.9933963,0.000021440263,0.0000036526515,0.001024431],"study_design_scores_gemma":[0.000016038342,0.0010533636,0.6603592,0.000007174008,0.00023015629,0.0009184933,0.00024435023,0.0011977268,0.33499685,0.00010532249,0.00084218587,0.000029085311],"about_ca_topic_score_codex":0.0006827224,"about_ca_topic_score_gemma":0.00061325356,"teacher_disagreement_score":0.0008551641,"about_ca_system_score_codex":0.0001030292,"about_ca_system_score_gemma":0.00007112473,"threshold_uncertainty_score":0.002245307},"labels":[],"label_agreement":null},{"id":"W2349962284","doi":"","title":"The Formation Mechanism and Countermeasures to the Urban Spatial Structure Adjustment of Changchun","year":2008,"lang":"en","type":"article","venue":"Xiandai chengshi yanjiu","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Urban spatial structure; Urban planning; Urban structure; Environmental planning; Mode (computer interface); Urban space; Geography; Mechanism (biology); Urban density; Economic geography; Space (punctuation); Civil engineering; Transport engineering; Computer science; Engineering","score_opus":0.011851056748657678,"score_gpt":0.17993481863218508,"score_spread":0.1680837618835274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2349962284","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":[0.97155094,0.00043344425,0.012370897,0.0009984532,0.000029473673,0.00006347659,0.000048925278,0.00008294112,0.014421381],"genre_scores_gemma":[0.9976386,0.00009511183,0.0011739967,0.000025365875,0.0000039257116,0.000008154326,0.000015649312,0.0000036224653,0.0010356815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997749,0.000045049754,0.000010157692,0.000055843495,0.00005094063,0.00006317985],"domain_scores_gemma":[0.9998281,0.000020841055,0.000044835528,0.000018091572,0.00006590107,0.0000221949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003391545,0.00015969723,0.00012458183,0.00067301665,0.0007861448,0.0006461679,0.0004218545,0.0002547576,0.0011563099],"category_scores_gemma":[0.0007298051,0.00015665012,0.00020987948,0.00051619206,0.0007422553,0.00045219925,0.00057977415,0.00023519051,0.000053217445],"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":[0.0002908492,0.00016703561,0.4781103,0.00026750876,0.00013760496,0.0011756307,0.006777095,0.072220966,0.046735823,0.17501327,0.005033023,0.21407095],"study_design_scores_gemma":[0.000045607416,0.00018765494,0.7950724,0.00007625221,0.00014766828,0.0004918921,0.0085980315,0.107011124,0.016515078,0.030796725,0.04097026,0.00008724019],"about_ca_topic_score_codex":0.03905918,"about_ca_topic_score_gemma":0.054340318,"teacher_disagreement_score":0.03905918,"about_ca_system_score_codex":0.0017028674,"about_ca_system_score_gemma":0.0013155858,"threshold_uncertainty_score":0.07766366},"labels":[],"label_agreement":null},{"id":"W2350113161","doi":"","title":"Effect of Maize Roots' Water Extraction on Scutellaria baicalensi Seed Germination","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Germination; Scutellaria; Extraction (chemistry); Bioassay; Allelopathy; Water extraction; Botany; Horticulture; Intercropping; Chemistry; Biology; Agronomy; Chromatography; Medicine","score_opus":0.004956491671967272,"score_gpt":0.22039586810334386,"score_spread":0.2154393764313766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2350113161","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":[0.99833053,0.00033812397,0.00030902022,0.000046834237,0.000008936894,0.000012205015,0.00014258886,0.000035695182,0.0007760592],"genre_scores_gemma":[0.9974323,0.00022711573,0.00061305985,0.00004973792,0.00000416962,0.000014865741,0.00019845464,0.000012110129,0.0014482881],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993193,0.000015815545,0.0000055948517,0.000018018736,0.000014047292,0.0000146004795],"domain_scores_gemma":[0.99986887,0.00004530069,0.000027794704,0.000010934816,0.000016161257,0.000030919648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009698667,0.00047006164,0.00019190903,0.00017811787,0.00014929433,0.00015694644,0.000109819055,0.000153384,0.0012162976],"category_scores_gemma":[0.00020097656,0.000110226225,0.00014272769,0.000120262324,0.00016920944,0.00015101429,0.00016692218,0.0004053867,0.00016010112],"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":[0.00013664785,0.000023910632,0.00035546286,0.000033631142,0.0000049951536,0.00001260682,0.000016693379,0.000035004225,0.99836046,0.00001000804,0.00001998012,0.0009905433],"study_design_scores_gemma":[0.000030148276,0.0008405819,0.017861199,0.0000066353728,0.000022468614,0.000030086348,0.00003088654,0.00039274048,0.97993374,0.000019751347,0.00082526787,0.000006485405],"about_ca_topic_score_codex":0.002288771,"about_ca_topic_score_gemma":0.0069508487,"teacher_disagreement_score":0.002288771,"about_ca_system_score_codex":0.00021643713,"about_ca_system_score_gemma":0.00021058589,"threshold_uncertainty_score":0.0045508742},"labels":[],"label_agreement":null},{"id":"W2350501246","doi":"","title":"Inspirations from the Sino-U.S. cooperative geological mapping in the East Kunlun orogenic belt: ideas and methods","year":2009,"lang":"en","type":"article","venue":"Dizhi tongbao","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Bedrock; Geology; Geologic map; Earth science; Field (mathematics); Weathering; Snow; Remote sensing; Geophysics; Geomorphology","score_opus":0.03509883376287012,"score_gpt":0.2797837548806106,"score_spread":0.24468492111774046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2350501246","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040878043,0.019870954,0.723418,0.021458514,0.002106906,0.0034298848,0.0034472519,0.00038557732,0.18500486],"genre_scores_gemma":[0.14694111,0.011512493,0.80063933,0.0020853323,0.00056167186,0.0043236376,0.0016116066,0.00022079766,0.03210412],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984291,0.0008649318,0.00015903517,0.0002509885,0.00023426558,0.000061632156],"domain_scores_gemma":[0.99874145,0.00044573811,0.00016187472,0.0002075561,0.0003409152,0.000102461796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065910458,0.00068863726,0.0002614796,0.004578082,0.0017740916,0.002724445,0.0013494304,0.0007423709,0.0042478107],"category_scores_gemma":[0.0041246735,0.0003384602,0.00027296462,0.0059430636,0.004420573,0.0028685168,0.0027149972,0.0013693164,0.0006817868],"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":[0.000050129038,0.000077851786,0.007554746,0.00072942296,0.00002368985,0.00064658676,0.013636148,0.0015714696,0.0011454474,0.702386,0.02318829,0.2489902],"study_design_scores_gemma":[0.00003671209,0.000097330856,0.015354649,0.0012398813,0.000028103741,0.0006023321,0.011264281,0.0035711543,0.0012577514,0.23621708,0.7302493,0.00008142339],"about_ca_topic_score_codex":0.008605568,"about_ca_topic_score_gemma":0.021661729,"teacher_disagreement_score":0.008605568,"about_ca_system_score_codex":0.0024565393,"about_ca_system_score_gemma":0.0034221397,"threshold_uncertainty_score":0.034857213},"labels":[],"label_agreement":null},{"id":"W2350882315","doi":"","title":"Research on Face Detection Based on Skin Color and Improved Adaboost Algorithm","year":2013,"lang":"en","type":"article","venue":"Electronic Science and Technology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Université du Québec","funders":"","keywords":"Face detection; AdaBoost; Artificial intelligence; Computer science; Face (sociological concept); Color space; YCbCr; Pattern recognition (psychology); Feature (linguistics); Computer vision; Facial recognition system; Mathematics; Algorithm; Color image; Support vector machine; Image processing; Image (mathematics)","score_opus":0.009731481868770094,"score_gpt":0.24800286415753658,"score_spread":0.2382713822887665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2350882315","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":[0.014663398,0.0018051921,0.9800178,0.00015782863,0.00022775533,0.00004427572,0.000025205973,0.0007674605,0.00229104],"genre_scores_gemma":[0.40696827,0.0038014143,0.57781583,0.00034614778,0.0004391592,0.00016223379,0.00018952046,0.00021323524,0.010064286],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982657,0.00027811778,0.00007457372,0.00049779884,0.00072490325,0.00015894863],"domain_scores_gemma":[0.99911255,0.00022880292,0.00005372072,0.000058354562,0.0005078186,0.00003865316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127356,0.00089729705,0.0013443199,0.0018537738,0.00052995386,0.0010351168,0.0015150936,0.0010972599,0.0015395186],"category_scores_gemma":[0.0017916714,0.00053524,0.0011444542,0.0014132807,0.000595769,0.002192586,0.00054166117,0.001105742,0.0005144655],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022726103,0.00020097455,0.0027831702,0.0004016676,0.0001966589,0.00013808893,0.00014040804,0.09053471,0.035941657,0.011483354,0.0035517884,0.8544002],"study_design_scores_gemma":[0.000020597747,0.0001036494,0.0018341336,0.00002216686,0.000062528474,0.00023989302,0.000046996174,0.97196317,0.017628761,0.003469366,0.0045634997,0.000045174358],"about_ca_topic_score_codex":0.0048398073,"about_ca_topic_score_gemma":0.0022123735,"teacher_disagreement_score":0.0048398073,"about_ca_system_score_codex":0.000821724,"about_ca_system_score_gemma":0.0009119249,"threshold_uncertainty_score":0.009623289},"labels":[],"label_agreement":null},{"id":"W2351004905","doi":"","title":"Roof Detection Using LiDAR Data Based on Points' Normal with Weight","year":2009,"lang":"en","type":"article","venue":"Wuhan Daxue xuebao. Xinxi kexue ban","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"York University","funders":"","keywords":"Roof; Lidar; Point (geometry); Plane (geometry); Computer science; Remote sensing; Mathematics; Geometry; Geology; Structural engineering; Engineering","score_opus":0.021387808448908054,"score_gpt":0.21675178162327952,"score_spread":0.19536397317437146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351004905","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":[0.10590792,0.00019076008,0.8908634,0.000087090055,0.000077391494,0.00011144151,0.00021560608,0.0013290904,0.0012172268],"genre_scores_gemma":[0.4813014,0.00030382245,0.5157026,0.00003204984,0.000059842103,0.00013165647,0.00063877186,0.00008132575,0.0017485451],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990079,0.00008421398,0.000038986203,0.00020142287,0.0005790313,0.00008857827],"domain_scores_gemma":[0.99927205,0.000087328524,0.00009256105,0.000077635086,0.00041364034,0.00005690075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039797038,0.0008037672,0.0009821535,0.002735412,0.00041761264,0.00088982855,0.0010017357,0.00061426027,0.00082248705],"category_scores_gemma":[0.0013182316,0.00053854665,0.0006899287,0.0021574711,0.00044311813,0.0012116433,0.001228171,0.0006351431,0.0006289201],"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":[0.0002754135,0.00011092576,0.013110312,0.00018618978,0.00009506106,0.00022275308,0.00019202918,0.019914871,0.15652129,0.0022139247,0.0020828764,0.8050744],"study_design_scores_gemma":[0.000057650577,0.00020324843,0.018180642,0.000037204973,0.000064296146,0.0007008518,0.00024709338,0.88257104,0.09050047,0.0030369135,0.0042790393,0.000121707104],"about_ca_topic_score_codex":0.0027645864,"about_ca_topic_score_gemma":0.0030509906,"teacher_disagreement_score":0.0027645864,"about_ca_system_score_codex":0.00033557176,"about_ca_system_score_gemma":0.00058867777,"threshold_uncertainty_score":0.0054969788},"labels":[],"label_agreement":null},{"id":"W2351511404","doi":"","title":"DNA Extraction and Optimization of ISSR-PCRReaction System for Fritillaria walujewii","year":2012,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Primer (cosmetics); DNA extraction; DNA; Taq polymerase; Polymerase chain reaction; System optimization; Biology; Chromatography; Germplasm; Molecular biology; Extraction (chemistry); Genetic diversity; DNA polymerase; Chemistry; Botany; Genetics; Thermus aquaticus; Gene; Mathematics; Medicine","score_opus":0.015264003330812103,"score_gpt":0.21947845054437945,"score_spread":0.20421444721356735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351511404","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56228095,0.0019719778,0.41753632,0.0005228022,0.00034801618,0.005501736,0.005265663,0.002842513,0.0037300328],"genre_scores_gemma":[0.22416057,0.0015730689,0.7361294,0.00038301898,0.000108214415,0.0044910726,0.025263716,0.0005124908,0.0073784813],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970667,0.0005382226,0.00041217363,0.0010327264,0.0007405012,0.00020970935],"domain_scores_gemma":[0.99907,0.000256411,0.00017924956,0.00013686408,0.0002906659,0.00006679669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020507153,0.0015187894,0.0012312134,0.0015398059,0.0006995722,0.00046535252,0.0011652773,0.0007662355,0.002175045],"category_scores_gemma":[0.0019402686,0.0009796559,0.0011346973,0.00097433303,0.0005613228,0.0005677855,0.0005921605,0.0011219387,0.0018282597],"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":[0.0000651926,0.000038980994,0.00072879205,0.000106989544,0.000007735336,0.000053905318,0.000059492962,0.00008799612,0.99545467,0.00006072812,0.000073188276,0.0032623638],"study_design_scores_gemma":[0.00007254356,0.0006833749,0.014906273,0.00005565121,0.0001863285,0.00048199078,0.00013193265,0.0021050705,0.9701405,0.00020281144,0.010965618,0.000067882094],"about_ca_topic_score_codex":0.0009778519,"about_ca_topic_score_gemma":0.0029092957,"teacher_disagreement_score":0.002175045,"about_ca_system_score_codex":0.00043715647,"about_ca_system_score_gemma":0.000798645,"threshold_uncertainty_score":0.010845363},"labels":[],"label_agreement":null},{"id":"W2351588167","doi":"","title":"Study on the Relationship between Ceratoides arborescens Population Spatial Pattern and Environment Factors","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Population; Habitat; Ecology; Geography; Biology","score_opus":0.04426855950281552,"score_gpt":0.23139724911567114,"score_spread":0.18712868961285561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351588167","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":[0.9988175,0.000041457173,0.0006690479,0.000015463413,0.0000012579071,0.000003109039,0.00010711761,0.000007622731,0.00033726502],"genre_scores_gemma":[0.9994106,0.00001918617,0.00020068516,0.0000033332683,0.000001682533,0.0000024312913,0.00018571268,0.000001959402,0.00017438472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983513,0.000034853747,0.000009999164,0.00006215628,0.000028119084,0.000029689987],"domain_scores_gemma":[0.99930036,0.00021035863,0.00021672691,0.000055419503,0.00012920453,0.0000879385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027799676,0.00014867196,0.00013540505,0.00050628616,0.00013602116,0.00015897345,0.00013001768,0.00009297741,0.0010982779],"category_scores_gemma":[0.00083714025,0.000077441306,0.00023833211,0.00044965223,0.00015594681,0.00014812221,0.00019567357,0.00015510552,0.00014130311],"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":[0.000045316898,0.000028898094,0.98907065,0.00001172459,0.00007659698,0.00009623351,0.00008907489,0.00060363155,0.0032048114,0.00010520781,0.00010230091,0.0065654973],"study_design_scores_gemma":[0.0000024198225,0.000034431814,0.99654776,0.000001421088,0.000017354103,0.00013092425,0.00008111105,0.002585813,0.00034090487,0.00008567867,0.00016945814,0.0000027240599],"about_ca_topic_score_codex":0.0058407444,"about_ca_topic_score_gemma":0.010509844,"teacher_disagreement_score":0.0058407444,"about_ca_system_score_codex":0.0001877013,"about_ca_system_score_gemma":0.00020493536,"threshold_uncertainty_score":0.011613488},"labels":[],"label_agreement":null},{"id":"W2351610335","doi":"","title":"Comprehensive treatment and utilization of side slope seepage in one residential quarter","year":2006,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Environmental science; Forensic engineering; Engineering; Geography","score_opus":0.02060820703739724,"score_gpt":0.21967448471336568,"score_spread":0.19906627767596843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351610335","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767691,0.00047802518,0.01645167,0.00026454477,0.00001656563,0.000103065184,0.00015379251,0.00014525195,0.0056180013],"genre_scores_gemma":[0.99254096,0.00027797313,0.005202958,0.000024285106,0.000008035237,0.000023103763,0.00013930205,0.000009726209,0.001773596],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99980646,0.000040823656,0.000010815345,0.000024482853,0.00006840458,0.000048951537],"domain_scores_gemma":[0.9997559,0.00002329085,0.000064405926,0.000030054603,0.00007510989,0.000051296025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020994214,0.00021808293,0.0002881105,0.000860867,0.00052916084,0.00033660975,0.0003009533,0.00032765177,0.0015299567],"category_scores_gemma":[0.00041254103,0.00012369204,0.00031723073,0.0007238335,0.00020159455,0.00030761198,0.00041420475,0.00019677314,0.0001725064],"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":[0.0005308247,0.0008038811,0.2637382,0.0004051556,0.00012833255,0.0016345899,0.0011234152,0.046025954,0.06352244,0.0043650465,0.0040872656,0.6136349],"study_design_scores_gemma":[0.000043975742,0.0014542143,0.8479354,0.00010374407,0.00022850103,0.0017658581,0.0042899055,0.09276882,0.03169606,0.005844822,0.013790899,0.000077794735],"about_ca_topic_score_codex":0.0035920867,"about_ca_topic_score_gemma":0.015476095,"teacher_disagreement_score":0.0035920867,"about_ca_system_score_codex":0.00041024992,"about_ca_system_score_gemma":0.0011814135,"threshold_uncertainty_score":0.0071423054},"labels":[],"label_agreement":null},{"id":"W2351618807","doi":"","title":"Decision-making analysis on the ecological economy of typical village of Loess Plateau——A case study of Anding in Gansu","year":2009,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Loess plateau; Sustainable development; Scope (computer science); China; Analytic hierarchy process; Projection (relational algebra); Plateau (mathematics); Ecology; Environmental resource management; Geography; Environmental science; Economics; Computer science; Soil science","score_opus":0.022443706174975923,"score_gpt":0.2661503345898243,"score_spread":0.24370662841484836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351618807","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":[0.9956416,0.000033088134,0.0017886576,0.00016029783,0.0000033185006,0.000070400376,0.00007671433,0.000005692186,0.0022203817],"genre_scores_gemma":[0.9981523,0.000029983114,0.0013291985,0.000007594058,0.000002214062,0.000020961468,0.000052605945,0.0000010403865,0.00040395296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99896264,0.0006414818,0.000033509205,0.00007237125,0.00009653877,0.00019351639],"domain_scores_gemma":[0.9991074,0.0005661921,0.00006159843,0.000033612712,0.000095900206,0.00013532366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014449492,0.000332655,0.00033850796,0.0009509424,0.0016623955,0.0010780595,0.0006545784,0.0007503751,0.0023167138],"category_scores_gemma":[0.0012114813,0.00018037662,0.0005877101,0.0011072061,0.00084267085,0.0005802885,0.00070870225,0.00042650354,0.00007476954],"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":[0.002215267,0.0029218916,0.3273825,0.00090291037,0.00056833815,0.04176736,0.014104216,0.47038525,0.014670324,0.026921628,0.004846619,0.09331371],"study_design_scores_gemma":[0.00024244514,0.0010681228,0.16325304,0.000121381694,0.00017014962,0.0011083251,0.05947768,0.7552866,0.0036865019,0.009524961,0.0059462436,0.0001145101],"about_ca_topic_score_codex":0.027801763,"about_ca_topic_score_gemma":0.051909838,"teacher_disagreement_score":0.027801763,"about_ca_system_score_codex":0.0031292185,"about_ca_system_score_gemma":0.001827581,"threshold_uncertainty_score":0.05527985},"labels":[],"label_agreement":null},{"id":"W2352238970","doi":"","title":"Landscaping constructions of stilted-tier in residential quarter","year":2014,"lang":"en","type":"article","venue":"Journal of Anhui Technical College of Water Resources and Hydroelectric Power","topic":"Remote Sensing and Land Use","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":"Landscaping; Quarter (Canadian coin); Architectural engineering; Engineering; Civil engineering; History; Archaeology","score_opus":0.004415612740341007,"score_gpt":0.1883487894644886,"score_spread":0.1839331767241476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352238970","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":[0.8828703,0.0006393374,0.06083063,0.00029578496,0.00010284263,0.00007355258,0.0002690981,0.00030124566,0.054617234],"genre_scores_gemma":[0.9789067,0.00013071127,0.009312009,0.000017455814,0.000008769126,0.000013200135,0.00010036203,0.000036186568,0.01147456],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995784,0.00006710844,0.000020217014,0.00007911463,0.00013689611,0.00011824808],"domain_scores_gemma":[0.9997968,0.000020495867,0.000030620027,0.000058940146,0.000048913313,0.00004432984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023633108,0.00031815845,0.00026941134,0.00094130787,0.002248057,0.0018038995,0.00085301604,0.0005393686,0.010994848],"category_scores_gemma":[0.00055860716,0.00030911216,0.0004410868,0.0013588722,0.0011009402,0.0010063502,0.0016227661,0.0005716033,0.00077882217],"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":[0.0008418943,0.00030952692,0.13699834,0.0008764318,0.000081220314,0.011463003,0.011910144,0.05578207,0.06075027,0.30219227,0.013655433,0.40513942],"study_design_scores_gemma":[0.000078557576,0.00089037133,0.22779915,0.0005203415,0.00024191114,0.021034937,0.054039508,0.21487436,0.036107354,0.14381349,0.3002884,0.00031165322],"about_ca_topic_score_codex":0.0031815625,"about_ca_topic_score_gemma":0.010883451,"teacher_disagreement_score":0.010994848,"about_ca_system_score_codex":0.0007887524,"about_ca_system_score_gemma":0.0007517228,"threshold_uncertainty_score":0.03678143},"labels":[],"label_agreement":null},{"id":"W2352478748","doi":"","title":"Studies on Autotoxicity of Aqueous Extracts from Different Parts of Fritillaria pallidiflora Schvek","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Germination; Bulb; Biology; Aqueous extract; Horticulture; Botany; Allelopathy; Bioassay; Traditional medicine","score_opus":0.03211776451101928,"score_gpt":0.24877072849430953,"score_spread":0.21665296398329026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352478748","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":[0.99327713,0.0033460958,0.000692995,0.00008178409,0.000017409766,0.000044989294,0.0005522848,0.00004890253,0.0019383242],"genre_scores_gemma":[0.9937837,0.0019481847,0.0008082917,0.00010080606,0.000016166143,0.000030219559,0.00085429836,0.000009663976,0.0024487488],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994123,0.000007538164,0.0000049011646,0.000014362771,0.000019569523,0.000012442064],"domain_scores_gemma":[0.9998889,0.000030485811,0.000022548198,0.000007774611,0.000030468429,0.000019739511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009803469,0.00049894024,0.0002791806,0.0005726421,0.00022422217,0.00014462858,0.0001420254,0.00027213828,0.0017130531],"category_scores_gemma":[0.00012502608,0.00011023358,0.00033189886,0.00023011432,0.00012915839,0.00016787124,0.00015344325,0.0003413378,0.00023849781],"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":[0.00013307204,0.00003529355,0.00062246964,0.00012916286,0.000015058552,0.00007560554,0.000031977546,0.0000717813,0.9963929,0.000019930325,0.000028146791,0.0024445194],"study_design_scores_gemma":[0.00005986571,0.004588133,0.077516675,0.000040143357,0.00013691052,0.0007402548,0.00013653266,0.00040819123,0.91301906,0.00009046343,0.0032442033,0.000019563227],"about_ca_topic_score_codex":0.0019999146,"about_ca_topic_score_gemma":0.0031962453,"teacher_disagreement_score":0.0019999146,"about_ca_system_score_codex":0.00015538945,"about_ca_system_score_gemma":0.00014099531,"threshold_uncertainty_score":0.005730808},"labels":[],"label_agreement":null},{"id":"W2352743074","doi":"","title":"Preliminary Study on output and Quality of Young Ramie of New Variety R057","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ramie; Production (economics); Variety (cybernetics); Quality (philosophy); Fiber; Mathematics; Statistics; Economics; Materials science; Composite material; Microeconomics; Physics","score_opus":0.06504834963709742,"score_gpt":0.2594848105375495,"score_spread":0.19443646090045208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352743074","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":[0.9987099,0.00004142062,0.00025055127,0.0000046115306,0.0000012576445,0.00000466929,0.00014256254,0.000005303275,0.000839672],"genre_scores_gemma":[0.99681735,0.00005272285,0.0005817558,0.000012257524,0.0000029819973,0.000006557614,0.00082977203,0.000011962005,0.0016845475],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998529,0.00001626639,0.000008795108,0.000053397027,0.000049468596,0.000019118152],"domain_scores_gemma":[0.9997049,0.00006788309,0.000037298,0.000021348755,0.00011479502,0.000053792464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000292855,0.0001611787,0.00018553171,0.00072791585,0.0003035676,0.00024706885,0.00015690395,0.00010750332,0.0010858203],"category_scores_gemma":[0.00020161895,0.00007439154,0.00027417298,0.00052368606,0.00016276668,0.00024889913,0.00019310082,0.00021189284,0.00013721353],"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":[0.0009656364,0.00026125283,0.21939604,0.00013593903,0.00008838723,0.00057788414,0.0013044218,0.00040625758,0.7565542,0.00025965867,0.00020090927,0.019849308],"study_design_scores_gemma":[0.0000075863054,0.000716744,0.9753574,0.00000327594,0.000030253854,0.00016159588,0.00036620468,0.00030387027,0.021975536,0.000033591114,0.0010351395,0.000008802895],"about_ca_topic_score_codex":0.0031966025,"about_ca_topic_score_gemma":0.007539388,"teacher_disagreement_score":0.0031966025,"about_ca_system_score_codex":0.00027194063,"about_ca_system_score_gemma":0.00012297805,"threshold_uncertainty_score":0.006356001},"labels":[],"label_agreement":null},{"id":"W2353846660","doi":"","title":"Comment on landscape design of residential quarters based on microclimate optimization:a case of Journalist's Homestead in Yancheng city","year":2012,"lang":"en","type":"article","venue":"Zhongnan Linye Keji Daxue xuebao","topic":"Remote Sensing and Land Use","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":"Microclimate; Quarter (Canadian coin); Wind speed; Environmental science; Relative humidity; Landscape design; Meteorology; Air temperature; Geography; Physical geography; Environmental resource management; Archaeology","score_opus":0.026247516389790695,"score_gpt":0.23958974222722842,"score_spread":0.21334222583743773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2353846660","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8560997,0.00043984273,0.012065775,0.09849334,0.00059492624,0.000098777404,0.00033511227,0.00023680288,0.0316357],"genre_scores_gemma":[0.98599154,0.00022279537,0.0037498071,0.0030971733,0.00017524941,0.000024789888,0.000054179563,0.000027692171,0.006656718],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963284,0.00012301438,0.000014657964,0.00007103798,0.00006585892,0.00009253894],"domain_scores_gemma":[0.99939716,0.00026775975,0.00006443417,0.00004539926,0.00013606752,0.00008911041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006073913,0.00023663096,0.00022034087,0.0002105148,0.0021776636,0.0010116608,0.0010917437,0.0025313424,0.0037944864],"category_scores_gemma":[0.001583366,0.00013561464,0.00052716077,0.00030602622,0.0013604104,0.00083320966,0.00046641816,0.00092219154,0.00041047295],"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":[0.0010774854,0.0005228742,0.31718373,0.0010453037,0.00015673357,0.12694782,0.059942104,0.053070027,0.044965357,0.08975589,0.22462018,0.08071259],"study_design_scores_gemma":[0.00020084958,0.00058566313,0.23180684,0.0002593645,0.00023956798,0.021387296,0.28201175,0.075494274,0.015860897,0.034016177,0.33767676,0.00046056946],"about_ca_topic_score_codex":0.037665054,"about_ca_topic_score_gemma":0.07242552,"teacher_disagreement_score":0.037665054,"about_ca_system_score_codex":0.0015392137,"about_ca_system_score_gemma":0.00069208804,"threshold_uncertainty_score":0.07489169},"labels":[],"label_agreement":null},{"id":"W2353905899","doi":"","title":"Dynamic analysis of land desertification monitoring of Dongying City","year":2015,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Desertification; River delta; Delta; Land use; Hydrology (agriculture); Geography; Environmental science; Water resource management; Physical geography; Geology; Ecology","score_opus":0.057213282061443306,"score_gpt":0.2660927776902031,"score_spread":0.20887949562875982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2353905899","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":[0.9984516,0.000029627588,0.0001390273,0.000018158595,0.0000013723312,0.0000048791467,0.00074052165,0.000011729472,0.0006029348],"genre_scores_gemma":[0.9975612,0.000036769226,0.00022805412,0.000005670858,0.0000021802434,0.00000909468,0.0017021883,0.0000028264724,0.00045197282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986684,0.000012032518,0.000009846181,0.00004262104,0.000030482985,0.00003811653],"domain_scores_gemma":[0.99976283,0.000025133824,0.00005383438,0.00001917142,0.00009717869,0.00004180536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014036216,0.0001764407,0.00018153801,0.00127702,0.00030433087,0.00041494082,0.00021248846,0.00018532362,0.00068912806],"category_scores_gemma":[0.00034445428,0.00012036375,0.00016965323,0.0019035047,0.00012350394,0.00025102208,0.00032161217,0.00015326953,0.00010686463],"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":[0.00008874135,0.000029467303,0.96915084,0.00004946511,0.00007483846,0.00029022535,0.00089568936,0.0053998055,0.0034456505,0.00021469993,0.0014945528,0.018866071],"study_design_scores_gemma":[0.0000031386799,0.000015555806,0.99118036,0.000004811974,0.000022199476,0.00004043305,0.0008558183,0.005693848,0.0004972575,0.000025888605,0.0016537317,0.000006958912],"about_ca_topic_score_codex":0.062259506,"about_ca_topic_score_gemma":0.08254891,"teacher_disagreement_score":0.062259506,"about_ca_system_score_codex":0.00052457134,"about_ca_system_score_gemma":0.00041613574,"threshold_uncertainty_score":0.1237942},"labels":[],"label_agreement":null},{"id":"W2354848942","doi":"","title":"Calcium Content Determination of Different Quality Milk by EDTA-complexometric Titration","year":2011,"lang":"en","type":"article","venue":"Journal of Shanxi Datong University","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Complexometric titration; Chemistry; Calcium; Food science; Titration; Animal science; Biology; Inorganic chemistry; Organic chemistry","score_opus":0.11722864092199375,"score_gpt":0.23991499197761706,"score_spread":0.12268635105562331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354848942","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":[0.9695467,0.004361709,0.020370815,0.00017627537,0.000071522474,0.00013662029,0.0013085952,0.00020348796,0.003824268],"genre_scores_gemma":[0.9434711,0.0020960113,0.0436467,0.00019116103,0.000029060184,0.00023585976,0.0019563327,0.0001054654,0.008268228],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915695,0.00011241323,0.000074465184,0.00018191095,0.0003919626,0.000082299135],"domain_scores_gemma":[0.9995322,0.00007861519,0.00008665008,0.000023993365,0.00024535888,0.00003318621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061692635,0.00046262477,0.00035497182,0.001478292,0.0002775516,0.00046536294,0.00036890974,0.0004403474,0.0015238109],"category_scores_gemma":[0.00102729,0.00028598518,0.0002260976,0.0010405346,0.00033529417,0.00026096878,0.00032876222,0.0003999393,0.00029475108],"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":[0.00022669877,0.00002695147,0.005795756,0.0001191501,0.000026292088,0.00006527399,0.00014890794,0.000058454225,0.98921555,0.00012847592,0.00009756787,0.0040910635],"study_design_scores_gemma":[0.000045578534,0.00020921066,0.03584727,0.000025485468,0.00007651962,0.00026394447,0.00022908548,0.002040311,0.95449346,0.00021372552,0.0065297736,0.000025630128],"about_ca_topic_score_codex":0.0017022532,"about_ca_topic_score_gemma":0.0023774633,"teacher_disagreement_score":0.0017022532,"about_ca_system_score_codex":0.00028091448,"about_ca_system_score_gemma":0.00020480019,"threshold_uncertainty_score":0.0050976872},"labels":[],"label_agreement":null},{"id":"W2354884994","doi":"","title":"Evaluation of Urban Vegetation Mapping Using High Spatial Resolution Image:Pixel Versus Object Classification Comparison","year":2011,"lang":"en","type":"article","venue":"Yingyong jichu yu gongcheng kexue xuebao","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":"Western University","funders":"","keywords":"Cohen's kappa; Pixel; Orthophoto; Artificial intelligence; Pattern recognition (psychology); Contextual image classification; Image resolution; Vegetation classification; Remote sensing; Vegetation (pathology); Lidar; Object based; Kappa; Computer science; Object (grammar); Mathematics; Geography; Image (mathematics); Machine learning","score_opus":0.16472582461284252,"score_gpt":0.29259791326597984,"score_spread":0.12787208865313732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354884994","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":[0.94831234,0.0002831599,0.047410436,0.00006271123,0.000021927324,0.000107028696,0.0003000887,0.00046760164,0.0030346916],"genre_scores_gemma":[0.9586032,0.00012221471,0.040220026,0.000022643979,0.0000128927895,0.000057071276,0.0003722715,0.000035261673,0.00055437774],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977635,0.0008950211,0.00014787586,0.00026030236,0.00082143745,0.00011194066],"domain_scores_gemma":[0.9948014,0.0026916636,0.0002955366,0.0002932529,0.0017911802,0.00012704617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049410556,0.00043633816,0.00059557136,0.002351514,0.00028701028,0.0008340529,0.00034453836,0.0004950204,0.0010819429],"category_scores_gemma":[0.0068125245,0.0001283197,0.0004610175,0.001431982,0.00029744784,0.0009098289,0.00047108612,0.00019358825,0.00025911155],"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":[0.0048413742,0.00052332185,0.24093634,0.00091993425,0.0010973833,0.00056451885,0.0012015408,0.084765434,0.13849576,0.0015844165,0.001514685,0.52355534],"study_design_scores_gemma":[0.00014179817,0.0013840587,0.46327043,0.00004566773,0.00049389916,0.0005511967,0.0010957286,0.4479676,0.08196265,0.0011074994,0.0018849729,0.00009457007],"about_ca_topic_score_codex":0.002554268,"about_ca_topic_score_gemma":0.0038543378,"teacher_disagreement_score":0.0049410556,"about_ca_system_score_codex":0.00033399506,"about_ca_system_score_gemma":0.0002568286,"threshold_uncertainty_score":0.026131153},"labels":[],"label_agreement":null},{"id":"W2354959136","doi":"","title":"Landscape Planning and Design of Zhongyanghuafu Residential Quarter in Jingzhou","year":2013,"lang":"en","type":"article","venue":"Anhui nongye kexue","topic":"Remote Sensing and Land Use","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":"Landscape design; Quarter (Canadian coin); Landscape planning; Environmental resource management; Sustainable development; Environmental planning; Geography; Computer science; Ecology; Environmental science; Archaeology; Biology","score_opus":0.015295366628892394,"score_gpt":0.20928387606923782,"score_spread":0.19398850944034543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354959136","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":[0.8765755,0.0005513249,0.046278547,0.00039648384,0.00006654149,0.00025207584,0.0003985091,0.00037924055,0.0751017],"genre_scores_gemma":[0.9622256,0.00020622267,0.022745932,0.000017248361,0.000006300924,0.00010593993,0.00019359197,0.00003238855,0.014466793],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999006,0.00002806908,0.000005362997,0.000022135944,0.000020297979,0.000023635272],"domain_scores_gemma":[0.9999683,0.0000037190043,0.0000028878824,0.000005448865,0.00001049167,0.0000091994025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011904889,0.00019645314,0.00013651063,0.0005894464,0.0013441823,0.00074175996,0.00030781556,0.00025621447,0.0044551105],"category_scores_gemma":[0.00014624208,0.00017375541,0.00020965008,0.0008052886,0.00044515196,0.0002739791,0.00042717633,0.00014976154,0.0003044205],"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":[0.00049813767,0.0003301922,0.10828811,0.000729465,0.000059118873,0.004744771,0.018447967,0.100041576,0.08931751,0.11027732,0.020903805,0.5463621],"study_design_scores_gemma":[0.0001377465,0.0011018852,0.48854825,0.00021412456,0.00019864911,0.0037175487,0.020454185,0.10638114,0.01747542,0.019723466,0.341771,0.0002766869],"about_ca_topic_score_codex":0.017199803,"about_ca_topic_score_gemma":0.071689196,"teacher_disagreement_score":0.017199803,"about_ca_system_score_codex":0.0013561306,"about_ca_system_score_gemma":0.0010887022,"threshold_uncertainty_score":0.034199417},"labels":[],"label_agreement":null},{"id":"W2356077294","doi":"","title":"Introduction of purple sweetpotato variety Xiayin 1 and its major traits and characteristics","year":2001,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Ralstonia solanacearum; Yield (engineering); Dry matter; Starch; Plant disease resistance; Biology; Resistance (ecology); Agronomy; Horticulture; Food science; Pathogen; Microbiology","score_opus":0.00921609866068346,"score_gpt":0.18826308651227883,"score_spread":0.17904698785159537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2356077294","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":[0.99710625,0.00019707823,0.00084884,0.000029596926,0.000020667936,0.000041487863,0.00043294966,0.0000298586,0.0012931877],"genre_scores_gemma":[0.98373324,0.0002871096,0.0027279924,0.00010125624,0.00001488567,0.00007170398,0.0040903417,0.00005506729,0.008918371],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984694,0.000015505102,0.0000096235,0.000057168963,0.000041160576,0.00002956838],"domain_scores_gemma":[0.9998431,0.00002355336,0.00003437327,0.000022693232,0.00001937687,0.000056866087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016742844,0.00037762368,0.00028496125,0.00031927542,0.00019755689,0.00023176728,0.00020152902,0.0003344804,0.001402575],"category_scores_gemma":[0.00014617112,0.00015507994,0.00030185992,0.00022349221,0.00010992708,0.00025016745,0.00038577538,0.0007091556,0.00025793238],"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":[0.000096879805,0.000040467705,0.0013831974,0.000025156176,0.000008577613,0.0001616137,0.00004180624,0.000024375368,0.9967526,0.000044829314,0.000025958481,0.0013946876],"study_design_scores_gemma":[0.00009315134,0.0049809422,0.36972293,0.00003755913,0.00019811279,0.0034511555,0.0006027256,0.002196452,0.5960942,0.00016836205,0.022374101,0.00008025164],"about_ca_topic_score_codex":0.00069221907,"about_ca_topic_score_gemma":0.0015987174,"teacher_disagreement_score":0.001402575,"about_ca_system_score_codex":0.000247351,"about_ca_system_score_gemma":0.00015948646,"threshold_uncertainty_score":0.0046921372},"labels":[],"label_agreement":null},{"id":"W2357057379","doi":"","title":"Growth Characteristics of Compound Leaf with Different Quantities of Leaflet of the Juglans cathayensis in Xinjiang","year":2011,"lang":"en","type":"article","venue":"农业科学与技术(英文版)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Leaflet (botany); Petiole (insect anatomy); Phyllotaxis; Juglans; Biomass (ecology); Botany; Biology; Horticulture; Agronomy; Shoot","score_opus":0.024745226672144918,"score_gpt":0.18062180476700576,"score_spread":0.15587657809486083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357057379","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":[0.9996915,0.00003469206,0.000041568783,0.000004516823,5.5877985e-7,0.0000014957948,0.000071733775,0.0000021088856,0.00015186737],"genre_scores_gemma":[0.9993299,0.00003277484,0.00013897043,0.000007789578,0.0000012894097,0.0000043348955,0.00027289675,0.0000027708215,0.00020932402],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999217,0.000009807303,0.000005443168,0.000034188994,0.00001631888,0.000012454451],"domain_scores_gemma":[0.99984384,0.000029478022,0.000046513545,0.000012148662,0.000026560434,0.000041484975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014298229,0.00023932559,0.00022915249,0.000742052,0.0004576072,0.00023388324,0.00018026865,0.00016250134,0.0006774989],"category_scores_gemma":[0.00014812802,0.00013799238,0.00022385389,0.0005058718,0.00024205924,0.0002405894,0.0002294531,0.00019359637,0.000089471],"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":[0.0005076483,0.00007446197,0.27283087,0.00011282993,0.00006208414,0.0005291635,0.0013184396,0.00030946138,0.7142129,0.000106748754,0.000084853855,0.009850639],"study_design_scores_gemma":[0.000005249768,0.000092227594,0.9965994,0.0000017792038,0.000007778591,0.00016043874,0.00023313284,0.00017097862,0.002487481,0.000012752211,0.00022440424,0.0000044484364],"about_ca_topic_score_codex":0.0085674105,"about_ca_topic_score_gemma":0.014661015,"teacher_disagreement_score":0.0085674105,"about_ca_system_score_codex":0.0004177502,"about_ca_system_score_gemma":0.00016262116,"threshold_uncertainty_score":0.017035127},"labels":[],"label_agreement":null},{"id":"W2357161905","doi":"","title":"Urban Expansion Analysis of Hefei City in the Last 30 Years by Using Romote Sensing","year":2013,"lang":"en","type":"article","venue":"Economic Geography","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Geography; Urban expansion; Urban heat island; Land use; Population; Physical geography; Urban sprawl; Population growth; Urban planning; Urban climate; Environmental science; Ecology; Meteorology; Demography","score_opus":0.010029519363160901,"score_gpt":0.19036085350287532,"score_spread":0.18033133413971442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357161905","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":[0.99699473,0.00010340679,0.00026997988,0.000029134864,0.0000031462291,0.0000130220915,0.001498297,0.00001804638,0.0010702256],"genre_scores_gemma":[0.9960593,0.00009951457,0.00038835828,0.000012560274,0.000005825349,0.000020167447,0.002552899,0.0000028834543,0.00085853913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990606,0.00000902912,0.00001055758,0.00002272067,0.000026297459,0.000025224645],"domain_scores_gemma":[0.99986506,0.000014116789,0.00004711178,0.000008911468,0.00004482791,0.000019984407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018961017,0.0002293022,0.00014436033,0.0020778864,0.00030238097,0.0003134661,0.00015352623,0.00014680023,0.0007796736],"category_scores_gemma":[0.00020761667,0.00010041557,0.00028395778,0.0014046704,0.00013282632,0.00024527055,0.0002916327,0.00014420926,0.00016507128],"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":[0.000071365226,0.00006086229,0.97155535,0.0000562338,0.00006322427,0.00025568574,0.0005344805,0.0027512093,0.0019347662,0.00013305852,0.0011458897,0.021437893],"study_design_scores_gemma":[0.0000011502028,0.000011479788,0.99646926,0.0000043329946,0.000009996363,0.000057118974,0.0002754529,0.0020610038,0.00020708251,0.0000108705035,0.0008872179,0.0000050272433],"about_ca_topic_score_codex":0.06503556,"about_ca_topic_score_gemma":0.10631566,"teacher_disagreement_score":0.06503556,"about_ca_system_score_codex":0.00072887994,"about_ca_system_score_gemma":0.00039346452,"threshold_uncertainty_score":0.129314},"labels":[],"label_agreement":null},{"id":"W2357461218","doi":"","title":"Segmentation of Moving Object Based on Markov Random Field","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Markov random field; Simulated annealing; Gauss; Segmentation; Random field; Markov chain; Markov model; Algorithm; Image segmentation; Energy (signal processing); Markov process; Object (grammar); Artificial intelligence; Function (biology); Mathematics; Statistics; Machine learning","score_opus":0.006183044907563675,"score_gpt":0.2202179134423072,"score_spread":0.21403486853474354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357461218","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":[0.009601537,0.00028421512,0.9885703,0.00004165472,0.000020694813,0.000023243167,0.000034220546,0.0004762159,0.000948063],"genre_scores_gemma":[0.26308602,0.00088057865,0.73029953,0.00007570036,0.000053630676,0.00010361093,0.00031269283,0.000216317,0.0049720043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996841,0.000044799155,0.000018541703,0.00010944911,0.00010640321,0.000036654917],"domain_scores_gemma":[0.9998317,0.00006778224,0.0000224017,0.000022920476,0.00004440679,0.0000106683465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044940432,0.00040582477,0.0008104788,0.0012029714,0.00033081847,0.00059737725,0.0007384697,0.00072173815,0.0011518307],"category_scores_gemma":[0.0006108982,0.00042491316,0.0009608334,0.000868089,0.00053273735,0.0010781813,0.00041081427,0.00036905007,0.00036991393],"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":[0.00013352693,0.000054718505,0.0019429999,0.00031169548,0.00014426898,0.000365567,0.000318125,0.4379949,0.11465051,0.064341225,0.0027006604,0.37704182],"study_design_scores_gemma":[0.000006848249,0.000024302246,0.00085138483,0.000010266585,0.00002462922,0.00011943382,0.000011332667,0.9799778,0.009971668,0.0069380663,0.0020393347,0.000024964142],"about_ca_topic_score_codex":0.0048383744,"about_ca_topic_score_gemma":0.004871926,"teacher_disagreement_score":0.0048383744,"about_ca_system_score_codex":0.0006598086,"about_ca_system_score_gemma":0.00055439613,"threshold_uncertainty_score":0.009620428},"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":"W2357812364","doi":"","title":"Research on spatial distribution of Canada goldenrod based on \"3S\" technology","year":2008,"lang":"en","type":"article","venue":"Journal of Heilongjiang Institute of Technology","topic":"Remote Sensing and Land Use","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":"Distribution (mathematics); Field (mathematics); Spatial distribution; Spatial analysis; Computer science; Software; Field survey; Diversity (politics); Environmental resource management; Geography; Remote sensing; Cartography; Environmental science; Mathematics; Operating system","score_opus":0.025349629725396852,"score_gpt":0.2535531208047336,"score_spread":0.22820349107933674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357812364","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":[0.900929,0.0015605247,0.04615814,0.0006027276,0.00005364813,0.00006367605,0.002666391,0.00050219643,0.047463696],"genre_scores_gemma":[0.98349714,0.00064869586,0.011389001,0.000026047202,0.000009240081,0.00001343774,0.0007488303,0.0000334974,0.0036341394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994624,0.0000336787,0.000010713377,0.00008079293,0.0003400974,0.00007237681],"domain_scores_gemma":[0.999049,0.00008345431,0.00007857734,0.000040697094,0.0007088831,0.000039396633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032755247,0.00022828109,0.00023702568,0.004336432,0.00085827394,0.001057753,0.0005061315,0.00017513082,0.0023187634],"category_scores_gemma":[0.0009826944,0.0001617141,0.00033685245,0.0064779776,0.00042199687,0.00077984005,0.00048370563,0.0001926879,0.0002954074],"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":[0.0001509692,0.00004204619,0.54442143,0.0002481704,0.00008853692,0.001296262,0.0025271024,0.023359204,0.03474643,0.020626122,0.009086077,0.36340764],"study_design_scores_gemma":[0.000012424436,0.00005367743,0.8574523,0.00010236416,0.00008282851,0.0011212063,0.0033309422,0.077401415,0.019771868,0.0032446168,0.037329875,0.00009649561],"about_ca_topic_score_codex":0.61159664,"about_ca_topic_score_gemma":0.62487984,"teacher_disagreement_score":0.38840336,"about_ca_system_score_codex":0.0029256039,"about_ca_system_score_gemma":0.002911222,"threshold_uncertainty_score":0.7813815},"labels":[],"label_agreement":null},{"id":"W2357885712","doi":"","title":"Analysis on the Relationship Between Social Economic Development and Land Use in Arid Regin of Northwest China—A Case of Jiayuguan City","year":2007,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Industrialisation; Urbanization; China; Land use; Land development; Restructuring; Geography; Sustainable development; Arid; Reforestation; Business; Natural resource economics; Economic growth; Forestry; Economics; Political science; Civil engineering","score_opus":0.057798394886084625,"score_gpt":0.25503081381617815,"score_spread":0.19723241893009352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357885712","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":[0.99911183,0.000028568247,0.00004015512,0.0000485769,4.6697863e-7,0.0000030140993,0.000032418033,8.167563e-7,0.0007341661],"genre_scores_gemma":[0.9997434,0.000040380564,0.000029624194,0.0000031540098,6.30859e-7,0.0000023244347,0.000032996715,2.8160594e-7,0.00014726994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974495,0.00007465517,0.000010802495,0.000026225756,0.00003584,0.000107465006],"domain_scores_gemma":[0.99969864,0.00009105284,0.00006832295,0.000018566427,0.00005412992,0.000069401394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000283126,0.00014093079,0.00017771362,0.0013908189,0.0011017439,0.0007106087,0.00035838268,0.00020648271,0.001454754],"category_scores_gemma":[0.0004975219,0.00010855767,0.0003190095,0.0025445651,0.0008539008,0.00031646102,0.0006580681,0.0002324152,0.000050741062],"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":[0.000051200284,0.00006824676,0.9785806,0.000030742987,0.000059054935,0.004383103,0.005021827,0.002100945,0.00055194413,0.0031742344,0.0002991296,0.0056789876],"study_design_scores_gemma":[0.000004604847,0.000020020483,0.9766223,0.000010615037,0.000037532755,0.00027083437,0.016450906,0.005065267,0.00014171751,0.00029242094,0.001074099,0.000009655907],"about_ca_topic_score_codex":0.23714624,"about_ca_topic_score_gemma":0.32290038,"teacher_disagreement_score":0.23714624,"about_ca_system_score_codex":0.0036131917,"about_ca_system_score_gemma":0.0011252799,"threshold_uncertainty_score":0.4715318},"labels":[],"label_agreement":null},{"id":"W2357926744","doi":"","title":"An Automatic Image Mosaic Algorithm Based on Feature","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Feature (linguistics); Artificial intelligence; Image (mathematics); Algorithm; Corner detection; Mosaic; Pattern recognition (psychology); Feature detection (computer vision); Computer vision; Ideal (ethics); Image processing","score_opus":0.0036159425722814974,"score_gpt":0.2007624261224277,"score_spread":0.1971464835501462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357926744","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":[0.009048383,0.00015171178,0.9876972,0.00003755903,0.000049630336,0.00005437587,0.00005026294,0.0016342814,0.0012766497],"genre_scores_gemma":[0.10339638,0.00015066273,0.8931071,0.000041005747,0.000060500242,0.00011772541,0.00039391092,0.00024310665,0.0024895591],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953425,0.000047207304,0.000015594911,0.00011910684,0.00024104363,0.000042761752],"domain_scores_gemma":[0.9997181,0.000032680084,0.000025302634,0.000048353988,0.00015784269,0.000017740358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004326457,0.00037262257,0.0006663564,0.0012806022,0.0006263825,0.00052658195,0.00071907404,0.00046604706,0.0022563084],"category_scores_gemma":[0.00057375,0.00032193185,0.0006649642,0.00089614105,0.0003267431,0.0009458758,0.000651253,0.0005199376,0.00085669337],"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":[0.00017142507,0.00005663964,0.0017222572,0.0001166238,0.00008126813,0.0000860368,0.00012003837,0.015447308,0.11881009,0.008179563,0.006484441,0.84872425],"study_design_scores_gemma":[0.00010695648,0.00026046368,0.0075109,0.000031058087,0.00008128297,0.00141409,0.00008526241,0.82353747,0.11539891,0.009619927,0.041818276,0.00013540282],"about_ca_topic_score_codex":0.0017717574,"about_ca_topic_score_gemma":0.0016144424,"teacher_disagreement_score":0.0022563084,"about_ca_system_score_codex":0.00030572235,"about_ca_system_score_gemma":0.000475938,"threshold_uncertainty_score":0.007548094},"labels":[],"label_agreement":null},{"id":"W2358118419","doi":"","title":"Study on Dynamics of Antioxidant Substances in Leaves of Different Varieties in Energy Sorghum","year":2012,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sorghum; Vitamin C; Antioxidant; Flavonoid; Sweet sorghum; Vitamin; Horticulture; Chemistry; Botany; Biology; Food science; Agronomy; Biochemistry","score_opus":0.015382637006650301,"score_gpt":0.21486620352898114,"score_spread":0.19948356652233085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358118419","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":[0.9994716,0.0000963859,0.00012695909,0.000005592159,0.0000010392649,0.0000019383258,0.00010375517,0.0000041807757,0.00018861619],"genre_scores_gemma":[0.99895465,0.000057569498,0.00021795608,0.000012266549,6.7515265e-7,0.0000066819334,0.00023861119,0.0000035279245,0.000508036],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999653,0.0000035894302,0.0000023204718,0.000016164666,0.000005387792,0.0000073341926],"domain_scores_gemma":[0.99992704,0.000010513462,0.000015347512,0.000005956182,0.00002118094,0.000019862786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005332443,0.00011496592,0.00019134681,0.00039902172,0.00023848214,0.00021365337,0.00006937945,0.00018819734,0.00042223508],"category_scores_gemma":[0.000061219944,0.0001112937,0.00015093497,0.0003042847,0.00011021614,0.00017854212,0.000110011606,0.00024167642,0.00006527071],"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":[0.00029489642,0.0000361178,0.03316885,0.00004095545,0.000026861955,0.000111285466,0.0004494723,0.00005917331,0.96332896,0.000058022157,0.00002698924,0.0023983917],"study_design_scores_gemma":[0.000010907532,0.00023783934,0.9502717,0.0000048464235,0.00004303686,0.0002233661,0.00064373476,0.000363561,0.0473363,0.00006713956,0.0007869858,0.000010515793],"about_ca_topic_score_codex":0.0021966686,"about_ca_topic_score_gemma":0.0029294854,"teacher_disagreement_score":0.0021966686,"about_ca_system_score_codex":0.00017227793,"about_ca_system_score_gemma":0.000101141406,"threshold_uncertainty_score":0.0043677688},"labels":[],"label_agreement":null},{"id":"W2358119077","doi":"10.11873/j.issn.1004-0323.2006.6.565","title":"Development Strategy on Earth Observing Technology of the Main Countries","year":2006,"lang":"en","type":"article","venue":"Yaogan jishu yu yingyong","topic":"Remote Sensing and Land Use","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":"Earth observation; Earth observation satellite; Earth (classical element); Geography; Front (military); Political science; Remote sensing; Regional science; Meteorology; Engineering; Satellite; Aerospace engineering; Physics","score_opus":0.012219069464841806,"score_gpt":0.18414865305304975,"score_spread":0.17192958358820795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358119077","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09743544,0.035838034,0.04513677,0.043393996,0.003231853,0.0023295465,0.005558754,0.0012115779,0.765864],"genre_scores_gemma":[0.42154017,0.056386515,0.0965988,0.016500887,0.0009380189,0.0037630934,0.014932373,0.00036593978,0.38897422],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978085,0.00048724457,0.00020088156,0.00025362542,0.0007845654,0.000465095],"domain_scores_gemma":[0.99591714,0.0002298183,0.0003069548,0.00026179128,0.0026034217,0.0006808707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030874969,0.0008523311,0.00026491313,0.0024471602,0.0008884413,0.0027479657,0.0007570379,0.0011015974,0.0049426244],"category_scores_gemma":[0.0028022912,0.00023786107,0.0003637969,0.002240283,0.0004673831,0.0013105022,0.00179959,0.001214737,0.002381453],"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":[0.0003250466,0.000358522,0.025448088,0.0013605009,0.0001089424,0.00094960333,0.00094743416,0.0033184676,0.011742207,0.25386876,0.1537723,0.54780006],"study_design_scores_gemma":[0.000053553642,0.00016756971,0.019895982,0.00026346653,0.00003312586,0.0004468636,0.00045918304,0.0009691687,0.0042259283,0.0038921107,0.96957415,0.000018931873],"about_ca_topic_score_codex":0.008990845,"about_ca_topic_score_gemma":0.0035145166,"teacher_disagreement_score":0.008990845,"about_ca_system_score_codex":0.0025890775,"about_ca_system_score_gemma":0.015857307,"threshold_uncertainty_score":0.018785179},"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":"W2358554343","doi":"","title":"Genetic Behavior of Purple-leaf Characteristics of Rice CMS Line Xianhong A and It's Application Prospect","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Japonica; Heterosis; Biology; Seedling; Hybrid; Horticulture; Botany","score_opus":0.007381672767928595,"score_gpt":0.20880891675926044,"score_spread":0.20142724399133186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358554343","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":[0.99875724,0.000038375627,0.0007075652,0.000012373546,0.0000019063565,0.000005880347,0.00012941848,0.000020027788,0.0003272176],"genre_scores_gemma":[0.997127,0.00006120891,0.00096640555,0.000015501844,0.0000011790252,0.000010366673,0.00037370314,0.000016559956,0.0014280662],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992585,0.000009457607,0.000008940084,0.000026527603,0.000016302381,0.00001288507],"domain_scores_gemma":[0.9998702,0.000019768795,0.000034546047,0.00001971356,0.000012301513,0.000043474865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112054026,0.0002955026,0.00010514204,0.0002543821,0.00010662563,0.00010396272,0.00014738805,0.00013196105,0.00077236595],"category_scores_gemma":[0.00009565888,0.00014043297,0.0001583071,0.00013036963,0.00010584641,0.000081872466,0.00016890977,0.000233766,0.00015167495],"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":[0.00002976393,0.0000055577684,0.00094937877,0.000004413524,0.0000017633223,0.000030884574,0.000013920967,0.00002556961,0.9984232,0.000024651104,0.000004690092,0.00048616139],"study_design_scores_gemma":[0.00004219389,0.0004957643,0.20196144,0.0000073085253,0.00006054368,0.0011366258,0.000120792625,0.002836135,0.7909395,0.00010822475,0.0022613332,0.000030037681],"about_ca_topic_score_codex":0.0015477806,"about_ca_topic_score_gemma":0.001980759,"teacher_disagreement_score":0.0015477806,"about_ca_system_score_codex":0.0002084913,"about_ca_system_score_gemma":0.0001708521,"threshold_uncertainty_score":0.003077507},"labels":[],"label_agreement":null},{"id":"W2358655750","doi":"","title":"Study on the Mechanism of Salt Accumulation in Songnen Plain in Spring","year":2007,"lang":"en","type":"article","venue":"Journal of Inner Mongolia University","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Geothermal gradient; Spring (device); Geology; Hydrology (agriculture); Soil salinity; Hot spring; Monsoon; Salt (chemistry); Soil water; Environmental science; Soil science; Geotechnical engineering; Oceanography; Geophysics","score_opus":0.0339112038249105,"score_gpt":0.23548997074470215,"score_spread":0.20157876691979165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358655750","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":[0.99897516,0.00011004854,0.00021768862,0.00007159125,0.0000042579068,0.0000063906377,0.000047137946,0.000008552149,0.0005591357],"genre_scores_gemma":[0.9994112,0.00009186999,0.00009293955,0.000007602781,0.0000030654505,0.000002299611,0.00003715276,0.0000012699754,0.0003525919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993217,0.0000069617195,0.000005550864,0.000020996604,0.000012327762,0.000021929505],"domain_scores_gemma":[0.9999198,0.0000074565287,0.000021319993,0.0000040531204,0.000024929304,0.000022442848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012822161,0.00016240204,0.00027888743,0.0005598814,0.00051201164,0.00050579564,0.0003757616,0.000246331,0.0006775809],"category_scores_gemma":[0.00015894175,0.00018790076,0.00024225572,0.00040585088,0.00033239,0.0005359174,0.00031775105,0.00013865503,0.000083628554],"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":[0.00021410447,0.00009139951,0.9231021,0.00014711115,0.00011514447,0.002411668,0.0018313648,0.002205749,0.05622811,0.0017757394,0.00039269167,0.011484859],"study_design_scores_gemma":[0.000013777984,0.000052031995,0.98798555,0.000009144881,0.000029845742,0.00017444542,0.0015259176,0.0069608022,0.0020528464,0.0004558445,0.00072607584,0.000013754432],"about_ca_topic_score_codex":0.030222885,"about_ca_topic_score_gemma":0.026029678,"teacher_disagreement_score":0.030222885,"about_ca_system_score_codex":0.0006233443,"about_ca_system_score_gemma":0.0005006522,"threshold_uncertainty_score":0.06009394},"labels":[],"label_agreement":null},{"id":"W2358702448","doi":"","title":"The Extension Characteristics and Dynamic Mechanisms of Residential Space in Changchun since 1990","year":2014,"lang":"en","type":"article","venue":"Economic Geography","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Yearbook; Industrialisation; Mode (computer interface); Regional science; Space (punctuation); Extension (predicate logic); Geography; Computer science; Scale (ratio); Land use; Unit (ring theory); Operations research; Transport engineering; Civil engineering; Mathematics; Engineering; Cartography; Economics","score_opus":0.0038917676638751874,"score_gpt":0.17446154286046206,"score_spread":0.17056977519658686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358702448","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":[0.996283,0.00025705216,0.0004919333,0.00003241154,0.0000029871653,0.000008708278,0.00040244617,0.000012433936,0.0025090892],"genre_scores_gemma":[0.998835,0.00010854737,0.00020174748,0.0000025678794,0.0000025798138,0.000004791431,0.00034240563,0.000001607603,0.00050067453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987006,0.000016738306,0.000011710668,0.000035463898,0.000026970789,0.000039093004],"domain_scores_gemma":[0.99971646,0.000054134394,0.00008864989,0.000019020836,0.00008396533,0.00003773327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022779968,0.00015111224,0.00008325617,0.0022554242,0.00032098853,0.0003911117,0.00019850816,0.00010116533,0.00095386704],"category_scores_gemma":[0.00051500986,0.000083682804,0.00020603767,0.0029474795,0.00031063004,0.0005900934,0.00050511124,0.00013219618,0.0000681612],"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":[0.00008815788,0.000027611126,0.9473824,0.00007874271,0.000036815447,0.00025635143,0.0024899226,0.0030883623,0.002224797,0.0030496176,0.00058638566,0.040690877],"study_design_scores_gemma":[7.752054e-7,0.00002225895,0.9954455,0.000009239077,0.00000942763,0.000102471364,0.00085633266,0.0011013948,0.00023825534,0.00019012771,0.0020184594,0.0000057440157],"about_ca_topic_score_codex":0.023891138,"about_ca_topic_score_gemma":0.061237752,"teacher_disagreement_score":0.023891138,"about_ca_system_score_codex":0.0011254519,"about_ca_system_score_gemma":0.00048081047,"threshold_uncertainty_score":0.047504187},"labels":[],"label_agreement":null},{"id":"W2358704408","doi":"","title":"Image classification for giant panda habitat using tasseled cap and matched filtering methods","year":2015,"lang":"en","type":"article","venue":"Zhongguo Kexueyuan Daxue xuebao","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Remote sensing; Decision tree; Computer science; Environmental science; Contextual image classification; Random forest; Artificial intelligence; Brightness; Classifier (UML); Pattern recognition (psychology); Image (mathematics); Geology","score_opus":0.11163436616936359,"score_gpt":0.33679400985410957,"score_spread":0.22515964368474597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358704408","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":[0.44089207,0.00039001825,0.552336,0.00011848895,0.00007425463,0.0001284735,0.0002760189,0.0018825772,0.003902145],"genre_scores_gemma":[0.8085046,0.00017839055,0.18886378,0.000055137156,0.00002974849,0.00006068923,0.00043576316,0.00004369923,0.001828135],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997038,0.000031266136,0.000020121755,0.00009400881,0.00010270677,0.000048028876],"domain_scores_gemma":[0.9997826,0.000037829523,0.000033856653,0.00001930386,0.00010987826,0.000016510268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004740784,0.00047990525,0.00037044077,0.0021765046,0.00038488416,0.00063153467,0.000358127,0.00041754957,0.000998111],"category_scores_gemma":[0.0005212732,0.00016683005,0.000634536,0.0009214947,0.00024699845,0.00075240544,0.00028105915,0.00021385145,0.00032571706],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000300839,0.00023727004,0.05123074,0.0001623592,0.00016139096,0.00034313762,0.00025114234,0.018799085,0.10954728,0.0014287528,0.0020083657,0.8155297],"study_design_scores_gemma":[0.000022396303,0.00017211608,0.10920179,0.000026233598,0.00017832109,0.00037550932,0.00031089043,0.83741224,0.048514016,0.0010926831,0.002641246,0.00005264374],"about_ca_topic_score_codex":0.0058668233,"about_ca_topic_score_gemma":0.006972688,"teacher_disagreement_score":0.0058668233,"about_ca_system_score_codex":0.0002868344,"about_ca_system_score_gemma":0.00032070343,"threshold_uncertainty_score":0.011665344},"labels":[],"label_agreement":null},{"id":"W2358820526","doi":"","title":"The Research on Optimum Conditions by Irrigating Cold Water to Multiplication Indica TGMS Rice Lines","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Panicle; Tiller (botany); Pollen; Gynoecium; Stamen; Biology; Irrigation; Rice plant; Horticulture; Frond; Agronomy; Botany","score_opus":0.03871848367883022,"score_gpt":0.3141787607312194,"score_spread":0.2754602770523892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358820526","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":[0.98300296,0.0031507248,0.011511663,0.00014919121,0.00003794551,0.00005870718,0.00038662658,0.00018271935,0.0015194287],"genre_scores_gemma":[0.9837751,0.001504623,0.0117418775,0.00008475641,0.000014032199,0.0001102871,0.0007277665,0.000048843274,0.0019927695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988115,0.000018756038,0.000014430128,0.00004026833,0.00002787011,0.000017545803],"domain_scores_gemma":[0.99988544,0.000015761238,0.000042695912,0.000009299122,0.000025600199,0.000021149723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016829275,0.00034954323,0.00027032165,0.00025597593,0.00018319077,0.0002947342,0.00022862155,0.00017418522,0.0008678375],"category_scores_gemma":[0.00016059435,0.00015367079,0.00023400037,0.00021432259,0.0001452109,0.000384933,0.00020037041,0.00032921231,0.0001924083],"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":[0.000046546258,0.000008006798,0.0010033417,0.000071431015,0.0000031318043,0.000030182866,0.000030268247,0.000116634124,0.99605525,0.00005279495,0.000053140517,0.0025293082],"study_design_scores_gemma":[0.000036751055,0.0008890121,0.04353401,0.00002667746,0.0000759694,0.00032446813,0.000273706,0.0023840587,0.9394266,0.00021006033,0.01277846,0.000040310548],"about_ca_topic_score_codex":0.0009587065,"about_ca_topic_score_gemma":0.0018468711,"teacher_disagreement_score":0.0009587065,"about_ca_system_score_codex":0.00025808983,"about_ca_system_score_gemma":0.00022837034,"threshold_uncertainty_score":0.002903223},"labels":[],"label_agreement":null},{"id":"W2359590453","doi":"","title":"On the Urban Design of New Times Business Quarter in Baotou","year":2003,"lang":"en","type":"article","venue":"Planners","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Center (category theory); Central business district; Architectural engineering; Civil engineering; Sight; Urban design; Geography; Engineering; Transport engineering; Urban planning; Archaeology","score_opus":0.022214368472136963,"score_gpt":0.19298961321635633,"score_spread":0.17077524474421937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2359590453","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":[0.56877816,0.0022575825,0.02222532,0.0033466246,0.00020892432,0.00014608716,0.00021738576,0.00015227331,0.40266764],"genre_scores_gemma":[0.93961084,0.00095847825,0.010945575,0.0001045817,0.000018705885,0.000043354168,0.00012042378,0.000058081943,0.048139982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998006,0.00010135943,0.0000043073915,0.000016786298,0.000036682937,0.00004025806],"domain_scores_gemma":[0.99993825,0.000008212289,0.000007027245,0.0000052505197,0.000023926572,0.000017237542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015973666,0.00021381558,0.000106090345,0.00041081055,0.0041482784,0.0022019395,0.00028213547,0.0002832294,0.006329654],"category_scores_gemma":[0.00026178267,0.00023094803,0.00013338338,0.0006824229,0.001416744,0.0005172056,0.0008619086,0.0003097352,0.00046172048],"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":[0.00037056816,0.0001475823,0.038411412,0.00027697821,0.000027471568,0.0023382467,0.035972353,0.039439764,0.013430764,0.5986032,0.049279995,0.22170176],"study_design_scores_gemma":[0.000029086594,0.00016907018,0.04364357,0.00012214224,0.00004192238,0.0011539705,0.05218355,0.02598465,0.004364454,0.03800641,0.8342154,0.00008582028],"about_ca_topic_score_codex":0.08145862,"about_ca_topic_score_gemma":0.2824929,"teacher_disagreement_score":0.08145862,"about_ca_system_score_codex":0.0031594245,"about_ca_system_score_gemma":0.0013181556,"threshold_uncertainty_score":0.16196895},"labels":[],"label_agreement":null},{"id":"W2359952211","doi":"","title":"Research on Seed Images Obtained by Scanning","year":2003,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Image (mathematics)","score_opus":0.03931986327597428,"score_gpt":0.29328900946281816,"score_spread":0.25396914618684385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2359952211","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":[0.5112393,0.0053312373,0.45864254,0.00043581458,0.00019064973,0.0002220329,0.00048907974,0.0011771012,0.022272259],"genre_scores_gemma":[0.5277784,0.0039882394,0.4581722,0.00012466169,0.00006255752,0.00009688516,0.00081095274,0.00020665364,0.008759418],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977857,0.000029359138,0.000011127373,0.000053071602,0.000111477406,0.000016491096],"domain_scores_gemma":[0.99932337,0.00022904378,0.00003437933,0.00008902603,0.00028933893,0.00003476097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055204256,0.00040266462,0.0004324585,0.001462814,0.0003288356,0.00042572952,0.0003867904,0.0004966576,0.0019574082],"category_scores_gemma":[0.0013662194,0.00028408345,0.0002856293,0.001284039,0.00037707976,0.0011891768,0.00018568197,0.00041880587,0.0006041494],"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":[0.00009433535,0.000025277599,0.0017532189,0.00033011005,0.00001751606,0.00035060997,0.00018771007,0.0007098055,0.9128686,0.0017041255,0.00043567194,0.08152302],"study_design_scores_gemma":[0.00003538189,0.00033190017,0.018409438,0.000057074158,0.000072862145,0.0031295004,0.00019027133,0.014723158,0.9459517,0.00112154,0.015932834,0.00004439221],"about_ca_topic_score_codex":0.0014681631,"about_ca_topic_score_gemma":0.001728532,"teacher_disagreement_score":0.0019574082,"about_ca_system_score_codex":0.00025323895,"about_ca_system_score_gemma":0.00031804777,"threshold_uncertainty_score":0.006548226},"labels":[],"label_agreement":null},{"id":"W2360450222","doi":"","title":"Learn from foreign management mode of land for industrial purpose","year":2008,"lang":"en","type":"article","venue":"Journal of Ezhou University","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"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":"Mode (computer interface); Business; Process management; Environmental resource management; Environmental planning; Operations management; Engineering; Computer science; Geography; Economics","score_opus":0.03574182309916606,"score_gpt":0.19295003171048314,"score_spread":0.15720820861131707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2360450222","genre_codex":"other","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":[0.14484389,0.018479528,0.018229421,0.2904704,0.004799064,0.000058546328,0.00029379048,0.00028167426,0.52254367],"genre_scores_gemma":[0.71729636,0.02133115,0.014685446,0.032423917,0.0023824484,0.000062994215,0.00020934828,0.00015465402,0.21145369],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997707,0.00007532844,0.000008989511,0.00003172636,0.00005668384,0.000056606426],"domain_scores_gemma":[0.99945444,0.000104438775,0.00007302393,0.00005921593,0.00012958368,0.00017929218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008594773,0.0002738125,0.00019549008,0.00048040622,0.0018371835,0.0029363208,0.0005009467,0.00078685983,0.019079544],"category_scores_gemma":[0.0012750827,0.000074751435,0.00025355566,0.0005745197,0.0019216503,0.0060601635,0.0016175498,0.0019155999,0.002856318],"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":[0.00009013859,0.00020929208,0.032651782,0.0006199683,0.000024948933,0.0015156398,0.058792215,0.0006512367,0.0030229555,0.31205577,0.19268829,0.39767775],"study_design_scores_gemma":[0.000008893845,0.000121436926,0.010892012,0.00057649676,0.00001107726,0.0012217521,0.08790347,0.00054264325,0.0009152159,0.071169026,0.82660764,0.00003029722],"about_ca_topic_score_codex":0.0039061327,"about_ca_topic_score_gemma":0.011829307,"teacher_disagreement_score":0.019079544,"about_ca_system_score_codex":0.0011997507,"about_ca_system_score_gemma":0.0013913513,"threshold_uncertainty_score":0.063827395},"labels":[],"label_agreement":null},{"id":"W2360810707","doi":"","title":"On ecological revitalization of Japan-Yokyo and Canada-Toronto","year":2006,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Remote Sensing and Land Use","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":"Geography; Ecology; Urban planning; Order (exchange); Environmental resource management; Environmental planning; Agriculture; Environmental science; Business; Biology; Archaeology","score_opus":0.003093356234917705,"score_gpt":0.1645512342304241,"score_spread":0.16145787799550637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2360810707","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":[0.87344056,0.0051687784,0.0009726936,0.0025048137,0.00009957723,0.00009584234,0.0017455335,0.00005660034,0.11591567],"genre_scores_gemma":[0.9545912,0.001829208,0.0007855087,0.000080892794,0.000008309064,0.000016251362,0.00043541845,0.00001596149,0.04223721],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99976,0.000021220038,0.0000062857694,0.000022573324,0.00006439685,0.00012558443],"domain_scores_gemma":[0.9997241,0.000010535204,0.00001871427,0.000012235324,0.00014338641,0.00009103145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019279488,0.0002476162,0.0001382761,0.0011238846,0.0032400384,0.0013101028,0.00038580145,0.00022470906,0.0066337087],"category_scores_gemma":[0.0004001393,0.00012201334,0.00023346685,0.0024030462,0.00083619985,0.0003916417,0.0008441025,0.00039406703,0.00017925157],"study_design_candidate":"qualitative","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":[0.0005985311,0.00011256238,0.51389605,0.00079148676,0.00017229922,0.0048244717,0.046327475,0.006865807,0.0056555006,0.12351796,0.047073126,0.25016472],"study_design_scores_gemma":[0.000009051899,0.00003142985,0.7581537,0.00009018851,0.000046772493,0.00019165878,0.03371283,0.0018957426,0.0009785884,0.0010142183,0.20385028,0.000025614647],"about_ca_topic_score_codex":0.9760587,"about_ca_topic_score_gemma":0.99656385,"teacher_disagreement_score":0.02765322,"about_ca_system_score_codex":0.02765322,"about_ca_system_score_gemma":0.022582486,"threshold_uncertainty_score":0.20063907},"labels":[],"label_agreement":null},{"id":"W2361851621","doi":"","title":"Dynamic of Service Value of Farmland Meta-ecosystem of Mountain,Oasis and Desert and Multiple Regression Analysis of the Influence Factors in the Hexi Corridor,Gansu,China","year":2013,"lang":"en","type":"article","venue":"Zhongguo shamo","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Ecosystem services; Ecosystem; Geography; Agriculture; Environmental science; Ecology","score_opus":0.012463095478940976,"score_gpt":0.21080438143875851,"score_spread":0.19834128595981754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2361851621","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":[0.99954385,0.000028255143,0.00008986499,0.00001579006,9.534355e-7,0.0000013792345,0.000101060665,0.0000037838001,0.00021511693],"genre_scores_gemma":[0.9996526,0.000014549969,0.00005431358,0.0000020034302,8.837142e-7,0.0000020680234,0.00013812158,9.447177e-7,0.00013458748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997595,0.00004020929,0.000017928372,0.000060806226,0.000050757222,0.000070890776],"domain_scores_gemma":[0.99947625,0.00010869405,0.00013788443,0.000032364544,0.0001318272,0.0001130582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042272924,0.00025227235,0.00017030656,0.000978599,0.00023916502,0.0006238561,0.00030793942,0.00015572408,0.00075865624],"category_scores_gemma":[0.0010448104,0.00012211042,0.0004877669,0.001128311,0.000232491,0.00042826906,0.00035276348,0.00017974962,0.00006732746],"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":[0.000021273983,0.000008986418,0.9942285,0.0000098809405,0.00006826007,0.00012890821,0.0001388665,0.002011185,0.0004792404,0.00016885076,0.00013261745,0.002603402],"study_design_scores_gemma":[0.000001519879,0.000008772162,0.99230826,0.0000021751255,0.000012606905,0.00003703824,0.00020623609,0.0071922094,0.00005606198,0.000052044146,0.00011999396,0.0000031921245],"about_ca_topic_score_codex":0.0794177,"about_ca_topic_score_gemma":0.10370553,"teacher_disagreement_score":0.0794177,"about_ca_system_score_codex":0.001270936,"about_ca_system_score_gemma":0.000569994,"threshold_uncertainty_score":0.15791088},"labels":[],"label_agreement":null},{"id":"W2361868492","doi":"","title":"Research of the Application Ability of Using CCD Multi-spectral Data of NO.1 Environment Satellite in 1:250 000 Topographic Map Update","year":2011,"lang":"en","type":"article","venue":"Geomatics & Spatial Information Technology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Innovation Initiatives Ontario North","funders":"","keywords":"Satellite; Remote sensing; Feature (linguistics); Computer science; Satellite imagery; Artificial intelligence; Computer vision; Geography; Physics","score_opus":0.06592309663028913,"score_gpt":0.2784333322942353,"score_spread":0.21251023566394617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2361868492","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":[0.8706189,0.0029331686,0.113915615,0.00045536962,0.00013092802,0.000080503705,0.00024806915,0.00038283374,0.011234504],"genre_scores_gemma":[0.9537424,0.0014460476,0.042182807,0.000039974675,0.0000681241,0.000018881314,0.00019890816,0.000033717282,0.0022691211],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994691,0.00012440691,0.000019600466,0.00010729702,0.00023353119,0.00004605576],"domain_scores_gemma":[0.9989942,0.00029708742,0.00006043398,0.00009589016,0.0005155577,0.00003689829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084976415,0.00021699214,0.00017644458,0.00097391853,0.00019206702,0.00042002232,0.00034203997,0.00036532315,0.0008739142],"category_scores_gemma":[0.002273187,0.00013064728,0.00023652134,0.0008165995,0.00015472117,0.001053482,0.00023995325,0.00023410346,0.00023335422],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036258445,0.000113150534,0.07431901,0.0005029104,0.00006514168,0.00039499596,0.00092450925,0.011861558,0.14448754,0.0019743752,0.00233711,0.76265705],"study_design_scores_gemma":[0.000061481755,0.0010778932,0.33387566,0.00012666121,0.00050049636,0.0026211422,0.0023216794,0.21465306,0.38902,0.0025688848,0.053018615,0.00015441602],"about_ca_topic_score_codex":0.0026629027,"about_ca_topic_score_gemma":0.0027799583,"teacher_disagreement_score":0.0026629027,"about_ca_system_score_codex":0.00020551536,"about_ca_system_score_gemma":0.00019562563,"threshold_uncertainty_score":0.0052948},"labels":[],"label_agreement":null},{"id":"W2362001051","doi":"","title":"Choice of cooling/heating sources of large scale villa quarter","year":2004,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Beijing; Work (physics); Scale (ratio); Investment (military); Environmental science; Value (mathematics); Engineering; Geography; Computer science; Mechanical engineering; China; Cartography; Political science","score_opus":0.010675351620688962,"score_gpt":0.22498802320183006,"score_spread":0.2143126715811411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362001051","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":[0.9269818,0.00055460975,0.011639641,0.0001589765,0.00005161964,0.00020176977,0.0013714717,0.00012390102,0.058916163],"genre_scores_gemma":[0.99436015,0.000095318916,0.0024495185,0.000013402075,0.000005304788,0.00003871364,0.0003519259,0.000019385352,0.0026662364],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994673,0.0001153791,0.000022057544,0.00012496127,0.000110717476,0.00015959654],"domain_scores_gemma":[0.9995447,0.00013107751,0.000059656617,0.000070977476,0.00010345951,0.00009009503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004915998,0.00035372024,0.00038365662,0.0008544718,0.00081253616,0.0012042474,0.00070437236,0.00038332577,0.011608731],"category_scores_gemma":[0.0011955029,0.00025604037,0.0007205108,0.0012767896,0.00030263854,0.00060349016,0.0005526727,0.00042618637,0.0005836057],"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":[0.009373749,0.0014275495,0.15359296,0.0021177381,0.00057950505,0.003200955,0.0010233873,0.25720817,0.14741118,0.0472706,0.013320296,0.36347395],"study_design_scores_gemma":[0.0009780094,0.003769444,0.5418228,0.00028640832,0.00086453435,0.0017270697,0.007457616,0.15544534,0.14223227,0.033661667,0.11132163,0.0004332199],"about_ca_topic_score_codex":0.0054671536,"about_ca_topic_score_gemma":0.012015006,"teacher_disagreement_score":0.011608731,"about_ca_system_score_codex":0.0010600924,"about_ca_system_score_gemma":0.0004354778,"threshold_uncertainty_score":0.03883505},"labels":[],"label_agreement":null},{"id":"W2362163233","doi":"","title":"Estimating Status and Potential Degree of Desertification in Gan su Province Based on RS and GIS","year":2003,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Desertification; Arid; China; Physical geography; Field survey; Geography; Environmental science; Scale (ratio); Remote sensing; Cartography; Geology; Ecology","score_opus":0.020985268473741336,"score_gpt":0.21427717450753225,"score_spread":0.19329190603379093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362163233","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":[0.99875283,0.000015386817,0.00025203376,0.000009205079,3.2385964e-7,0.000008398889,0.0001727086,0.000012659772,0.0007765152],"genre_scores_gemma":[0.9990552,0.000015346857,0.00058117387,0.0000013299641,5.661805e-7,0.0000061033015,0.00021921801,8.7124243e-7,0.00012005502],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974006,0.00010645748,0.000016609752,0.00002820423,0.00007183017,0.00003684901],"domain_scores_gemma":[0.99952745,0.0001412,0.00011324809,0.00003485605,0.00012811292,0.00005516714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004281307,0.00016729106,0.00014739072,0.0016162989,0.00014267449,0.0003057142,0.00015722893,0.00008146221,0.00045712612],"category_scores_gemma":[0.00101953,0.0001271675,0.00013805214,0.0011339232,0.00023140406,0.00022305473,0.00020622733,0.00007736277,0.000060916245],"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":[0.000081248945,0.0000144251135,0.9812026,0.000018771543,0.00002814062,0.000095373594,0.00031192543,0.0023760344,0.0010373605,0.00013138156,0.00020778077,0.014494948],"study_design_scores_gemma":[0.000006129891,0.0000421146,0.9900564,0.0000046594723,0.000011130009,0.00006216381,0.00047596492,0.008644908,0.00025740545,0.00007381227,0.00036078208,0.0000045101583],"about_ca_topic_score_codex":0.08981099,"about_ca_topic_score_gemma":0.15541863,"teacher_disagreement_score":0.08981099,"about_ca_system_score_codex":0.00065308384,"about_ca_system_score_gemma":0.00044142583,"threshold_uncertainty_score":0.17857647},"labels":[],"label_agreement":null},{"id":"W2362185658","doi":"","title":"Research on Detection of NOGE and Its Derivatives in Food Can Based on HLPC","year":2009,"lang":"en","type":"article","venue":"Packaging Engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"L'Alliance Boviteq","funders":"","keywords":"Reproducibility; Relative standard deviation; Chromatography; Correlation coefficient; Linear correlation; Standard deviation; Linear relationship; Coefficient of variation; Detection limit; Chemistry; Correlative; Mathematics; Linear range; Statistics","score_opus":0.0306358419151871,"score_gpt":0.24890480186039726,"score_spread":0.21826895994521017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362185658","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":[0.96211183,0.003692427,0.027673032,0.000121936115,0.000035864297,0.0001172581,0.00023675697,0.00011937745,0.005891586],"genre_scores_gemma":[0.9395292,0.0025952882,0.050050087,0.00015049885,0.000015596816,0.000077571225,0.0003564753,0.000039038234,0.007186311],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998287,0.000044561457,0.000007378149,0.000041772088,0.000059695594,0.000017878201],"domain_scores_gemma":[0.9998534,0.000047809423,0.000021629796,0.000013780726,0.000050080005,0.000013371688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033914964,0.00048523562,0.00020364938,0.0003428949,0.00021571585,0.00021248036,0.0001897601,0.00028773636,0.00087420153],"category_scores_gemma":[0.0004500193,0.00017193118,0.00018961813,0.0002740277,0.00029106354,0.0004106919,0.00019288498,0.00032347225,0.000309045],"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":[0.000057491765,0.000015018133,0.00037170714,0.000093317896,0.000009286836,0.000085354965,0.00002580031,0.000106839,0.9954466,0.00008867085,0.000028956769,0.003670928],"study_design_scores_gemma":[0.000004592588,0.000243117,0.0016202924,0.000007230256,0.00002016125,0.00016888084,0.000024647226,0.00062775303,0.99542373,0.000044084958,0.0018082702,0.0000071122854],"about_ca_topic_score_codex":0.0012882862,"about_ca_topic_score_gemma":0.0018293775,"teacher_disagreement_score":0.0012882862,"about_ca_system_score_codex":0.00018438381,"about_ca_system_score_gemma":0.00022127984,"threshold_uncertainty_score":0.0029244423},"labels":[],"label_agreement":null},{"id":"W2362412385","doi":"","title":"Screens Fine Varieties of Haiyuan Foenuculum vulgare Mill. and Studies on it's Volatile Oil Chemical Composition","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foeniculum; Raw material; Pulp and paper industry; Chemical composition; Mill; Inner mongolia; Extraction (chemistry); Yield (engineering); Composition (language); Horticulture; Mathematics; Chemistry; Environmental science; Materials science; Biology; Chromatography; Geography; Engineering; Metallurgy","score_opus":0.0183056332529897,"score_gpt":0.2325890841018635,"score_spread":0.2142834508488738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362412385","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":[0.99684733,0.00041598408,0.0015350638,0.000029240053,0.000016413669,0.000030030393,0.00028243798,0.000022150032,0.00082128827],"genre_scores_gemma":[0.98811764,0.00031619094,0.0069443397,0.00006469907,0.0000066222474,0.000051400122,0.0013656961,0.000025532754,0.00310788],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998734,0.000011003026,0.000009598769,0.000045569413,0.000037323607,0.000023081915],"domain_scores_gemma":[0.99991703,0.000016587615,0.00001749542,0.000009755617,0.000023612773,0.00001546242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017269733,0.00031488374,0.00018731815,0.00043429376,0.00025431009,0.00019450391,0.00013028663,0.00015482832,0.0006291764],"category_scores_gemma":[0.00019333571,0.000094748866,0.00029024607,0.00026507,0.0000965711,0.00018755907,0.00022798308,0.00024584343,0.0001487094],"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":[0.00008096131,0.000027090906,0.0035675333,0.00005327091,0.000010417477,0.000095413656,0.000059092636,0.000045577755,0.98959106,0.00003081508,0.000037021462,0.0064017884],"study_design_scores_gemma":[0.000041916806,0.0010799636,0.25818208,0.000020766636,0.00011660248,0.0006805356,0.0005655494,0.00068118103,0.7295372,0.000121959914,0.00894461,0.00002768588],"about_ca_topic_score_codex":0.0012968921,"about_ca_topic_score_gemma":0.0031635945,"teacher_disagreement_score":0.0012968921,"about_ca_system_score_codex":0.00017940818,"about_ca_system_score_gemma":0.00011626695,"threshold_uncertainty_score":0.0025786757},"labels":[],"label_agreement":null},{"id":"W2362616280","doi":"","title":"Dynamic evolution of land use structure in undeveloped areas of western China——A case study of Gansu Province","year":2010,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Gini coefficient; Lorenz curve; Woodland; Geography; Cultivated land; China; Land use; Entropy (arrow of time); Physical geography; Environmental science; Mathematics; Ecology; Inequality; Economic inequality","score_opus":0.009899247145888666,"score_gpt":0.22207427940212038,"score_spread":0.21217503225623172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362616280","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":[0.9995552,0.000014303244,0.00004971921,0.000018201756,5.1326526e-7,0.0000033318497,0.00012506943,0.0000029078542,0.00023076519],"genre_scores_gemma":[0.9996195,0.0000145901,0.00009401773,0.0000029098221,7.61901e-7,0.0000021171409,0.00015640518,7.0873676e-7,0.000109092536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982256,0.000043028078,0.000012084296,0.000030679395,0.000038004026,0.000053720658],"domain_scores_gemma":[0.9997054,0.00006293359,0.00007459451,0.000028421686,0.00007337935,0.000055194225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031918776,0.00018767372,0.00015002053,0.0011407086,0.000322093,0.0005860435,0.00037797628,0.00019110559,0.0004042111],"category_scores_gemma":[0.0005045105,0.00013343808,0.00024467424,0.0015068565,0.00048219867,0.00031292028,0.00037589323,0.00013846108,0.000043366654],"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":[0.00009864384,0.000056146524,0.9720978,0.00003013268,0.000085495245,0.0024899016,0.0009699034,0.012985106,0.0018466006,0.00058704434,0.00046658056,0.008286677],"study_design_scores_gemma":[0.000005766847,0.000019789568,0.97694504,0.00000441487,0.000012186756,0.00014390388,0.00087738165,0.02118425,0.00022151295,0.0001085325,0.00046693787,0.000010297571],"about_ca_topic_score_codex":0.19632575,"about_ca_topic_score_gemma":0.24090646,"teacher_disagreement_score":0.19632575,"about_ca_system_score_codex":0.002382728,"about_ca_system_score_gemma":0.0005639709,"threshold_uncertainty_score":0.39036602},"labels":[],"label_agreement":null},{"id":"W2362631618","doi":"","title":"Integration of the GIS with Criminal Probability Model and Its Application","year":2013,"lang":"en","type":"article","venue":"Beijing Daxue xuebao. Ziran kexue ban","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geospatial analysis; Crime analysis; Geographic information system; Scope (computer science); Data science; Computer science; Probabilistic logic; Population; Geography; Data mining; Criminology; Cartography; Artificial intelligence; Sociology","score_opus":0.022112926798586317,"score_gpt":0.20126991857769924,"score_spread":0.17915699177911293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362631618","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":[0.01443689,0.0002264406,0.9738887,0.00035106126,0.00008419971,0.000059288635,0.00018848755,0.0018669615,0.008897958],"genre_scores_gemma":[0.47653222,0.0008121714,0.51561314,0.00011147943,0.00007880746,0.0001915343,0.00055986963,0.00021448554,0.0058862823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993861,0.00020045147,0.000049741808,0.000116940595,0.00022133408,0.000025348732],"domain_scores_gemma":[0.99927396,0.00033204717,0.000049240207,0.00009522541,0.00022455803,0.000025000934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007694139,0.000670439,0.00060379424,0.0018016205,0.00040734085,0.0013295575,0.00080779835,0.00053352705,0.0029410045],"category_scores_gemma":[0.0024808343,0.00044213166,0.000841825,0.0017084748,0.00042932612,0.0018141537,0.00093804323,0.0004951653,0.000699053],"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":[0.000095464566,0.0001476355,0.012063748,0.0002466416,0.00020318622,0.00060874916,0.00038240512,0.57423776,0.0040791063,0.106362864,0.007376565,0.29419574],"study_design_scores_gemma":[0.0000056594986,0.000024938585,0.00073731615,0.000013788033,0.00002250048,0.00016679298,0.00007148674,0.9754862,0.00092481705,0.015022626,0.007503216,0.000020484538],"about_ca_topic_score_codex":0.008543555,"about_ca_topic_score_gemma":0.003991514,"teacher_disagreement_score":0.008543555,"about_ca_system_score_codex":0.0006629934,"about_ca_system_score_gemma":0.00084497686,"threshold_uncertainty_score":0.016987622},"labels":[],"label_agreement":null},{"id":"W2362644314","doi":"","title":"Study on the Mode for International Application of the Environment and Disaster Monitoring and Forecasting Small Satellite Constellation","year":2010,"lang":"en","type":"article","venue":"Spacecraft Engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"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":"Constellation; Satellite constellation; Satellite; China; Emergency management; Earth observation; Remote sensing; Computer science; Geography; Political science; Engineering; Aerospace engineering","score_opus":0.01874112197282551,"score_gpt":0.20030382460413307,"score_spread":0.18156270263130755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362644314","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":[0.83921486,0.000978392,0.010090982,0.0021296388,0.00007315448,0.00016766049,0.00039037585,0.00006746882,0.14688757],"genre_scores_gemma":[0.98874474,0.0008569296,0.0038416972,0.000068215464,0.00004099043,0.000049825987,0.00020977965,0.000019081273,0.0061687045],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994863,0.0001800163,0.000026582076,0.000058619407,0.00016260715,0.000085763815],"domain_scores_gemma":[0.9977634,0.0004886914,0.0002202814,0.00014714994,0.0011876568,0.00019281772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014013435,0.00019230742,0.00013557597,0.001453912,0.0006312052,0.0013083689,0.00034464645,0.00028360123,0.0030930792],"category_scores_gemma":[0.00301157,0.0001289744,0.00024051325,0.0018184433,0.00034763003,0.0016574292,0.00045382552,0.00044703094,0.0004039607],"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":[0.00030764303,0.0003011069,0.65280795,0.00022664183,0.00004616976,0.0007011023,0.0065252525,0.0053298236,0.016163839,0.056177482,0.009055227,0.2523578],"study_design_scores_gemma":[0.00004021652,0.00068567466,0.8315617,0.00021280545,0.00009266853,0.0011324178,0.018131701,0.026749872,0.011173952,0.009388929,0.10075425,0.000075773474],"about_ca_topic_score_codex":0.00654595,"about_ca_topic_score_gemma":0.0052421927,"teacher_disagreement_score":0.00654595,"about_ca_system_score_codex":0.0008619255,"about_ca_system_score_gemma":0.0009388381,"threshold_uncertainty_score":0.013015747},"labels":[],"label_agreement":null},{"id":"W2363151722","doi":"","title":"Zoning of Urban Green Landscape Types in Shaanxi Province","year":2011,"lang":"en","type":"article","venue":"Anhui nongye kexue","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Zoning; Landscaping; Geography; Landform; Settlement (finance); Urban green space; Environmental planning; Urban planning; Environmental resource management; Civil engineering; Ecology; Cartography; Environmental science; Business; Space (punctuation); Computer science; Engineering","score_opus":0.018939819901017892,"score_gpt":0.1864819406269192,"score_spread":0.1675421207259013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2363151722","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":[0.9991381,0.00004195004,0.00017427151,0.000008645742,5.4460054e-7,0.0000064462297,0.00007541039,0.0000049343853,0.0005497211],"genre_scores_gemma":[0.99934286,0.000027132466,0.00023670947,0.0000015775754,4.706683e-7,0.0000075201433,0.00016547993,6.062747e-7,0.00021762092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984586,0.000024558276,0.000012411298,0.000027394462,0.00005184935,0.000037859198],"domain_scores_gemma":[0.99973387,0.00003826909,0.00006447371,0.000017200655,0.00010616929,0.00003995658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026243116,0.00009199206,0.000105023595,0.0021739667,0.00033083867,0.00042705826,0.000097261,0.00007943594,0.0006169639],"category_scores_gemma":[0.00036466029,0.00009836224,0.000102972226,0.0016719016,0.00032369405,0.0001670674,0.00035237783,0.00007541041,0.000036045003],"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":[0.00012990893,0.00002121233,0.96136075,0.00006401941,0.000030139658,0.00011871036,0.001601232,0.002012305,0.0041543785,0.0015528586,0.00037421891,0.02858031],"study_design_scores_gemma":[0.0000021585074,0.000015652859,0.99708074,0.0000065633767,0.0000062195286,0.000039134102,0.0007191318,0.0014078319,0.00017619158,0.00013487785,0.00040706556,0.0000043264013],"about_ca_topic_score_codex":0.026059125,"about_ca_topic_score_gemma":0.045910668,"teacher_disagreement_score":0.026059125,"about_ca_system_score_codex":0.00068672124,"about_ca_system_score_gemma":0.00049970386,"threshold_uncertainty_score":0.051814854},"labels":[],"label_agreement":null},{"id":"W2363583995","doi":"","title":"Landscape Design of Residential Quarter Combing Local Characteristics Introduction of Electricity and Technology Garden Landscape Design","year":2006,"lang":"en","type":"article","venue":"Chinese and Overseas Architecture","topic":"Remote Sensing and Land Use","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":"Combing; Landscape design; Architectural engineering; Quarter (Canadian coin); Quality (philosophy); Electricity; Process (computing); Engineering; Geography; Civil engineering; Archaeology; Computer science; Cartography","score_opus":0.003778652941034317,"score_gpt":0.17705874872908345,"score_spread":0.17328009578804912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2363583995","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":[0.31865126,0.00055356964,0.37048188,0.0005025782,0.00012528176,0.00012489372,0.00021392414,0.0010298382,0.3083167],"genre_scores_gemma":[0.8987106,0.00018198375,0.065423615,0.000049104015,0.000016071952,0.000045544948,0.00009344049,0.00016469971,0.03531497],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99988735,0.00003702558,0.0000040712503,0.000021660402,0.0000354886,0.000014381583],"domain_scores_gemma":[0.9999249,0.000008069995,0.000004462441,0.000015321782,0.00003638131,0.000010881332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010275869,0.0002053203,0.00013192242,0.00031095897,0.0005242739,0.00082381186,0.00023938881,0.00018239947,0.009740827],"category_scores_gemma":[0.00021279034,0.0001294748,0.00020933349,0.00033286723,0.00025885648,0.00039251053,0.00036333074,0.00015860445,0.00079112436],"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":[0.00025526894,0.00013675971,0.015365483,0.0004591503,0.000047381673,0.00084605283,0.0038696574,0.06700689,0.098972484,0.11287692,0.022475172,0.6776888],"study_design_scores_gemma":[0.0000762447,0.00086727686,0.066487186,0.00016550712,0.00017391311,0.0035274567,0.0069802925,0.22253588,0.047750335,0.052039333,0.59927636,0.00012022794],"about_ca_topic_score_codex":0.0016926241,"about_ca_topic_score_gemma":0.0061159865,"teacher_disagreement_score":0.009740827,"about_ca_system_score_codex":0.00038747076,"about_ca_system_score_gemma":0.0002718841,"threshold_uncertainty_score":0.032586336},"labels":[],"label_agreement":null},{"id":"W2364004289","doi":"","title":"GIS Analysis of Space Differentiations for the Rural Settlements in Qinling Mountains ——Acase study of Shangzhou District","year":2014,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Human settlement; Polygon (computer graphics); Geography; Terrain; Rural settlement; Voronoi diagram; Cartography; Rural area; Physical geography; Archaeology; Computer science; Mathematics; Geometry","score_opus":0.018682157531654232,"score_gpt":0.2530926153889018,"score_spread":0.2344104578572476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2364004289","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":[0.9988298,0.000058451882,0.00032383628,0.000023486426,0.0000015120675,0.000008692198,0.0002450492,0.000009086848,0.0005001505],"genre_scores_gemma":[0.9992448,0.000026331321,0.00033765731,0.0000025015981,0.0000016616422,0.000006350219,0.0002411911,0.0000011455729,0.00013845407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996935,0.00006696037,0.000017220675,0.00005676921,0.00007974356,0.00008573432],"domain_scores_gemma":[0.9996927,0.000074391224,0.00007170213,0.000021025637,0.00007656681,0.00006363631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004999969,0.00028708362,0.00022498434,0.0042007035,0.0007589419,0.00066840893,0.00026446368,0.00015072915,0.0011426662],"category_scores_gemma":[0.0006750758,0.00021111261,0.00051142095,0.0032936744,0.0004995305,0.00044056156,0.0004401355,0.00014425986,0.000069852984],"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":[0.000072118855,0.000053651867,0.9744162,0.00007310375,0.00012512499,0.00053111225,0.0024098335,0.005213694,0.002053679,0.0012637015,0.0005934732,0.01319432],"study_design_scores_gemma":[0.0000036029064,0.000023632912,0.99418145,0.0000047044787,0.000021490468,0.000092159265,0.0016733394,0.0033122092,0.00012274754,0.00009605748,0.00046022458,0.000008413381],"about_ca_topic_score_codex":0.117170304,"about_ca_topic_score_gemma":0.16989765,"teacher_disagreement_score":0.117170304,"about_ca_system_score_codex":0.0014919768,"about_ca_system_score_gemma":0.0012120942,"threshold_uncertainty_score":0.23297662},"labels":[],"label_agreement":null},{"id":"W2364098916","doi":"","title":"Application of GGE Biplot on Analysis Diallel Cross of B. napus L.","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biplot; Diallel cross; Mathematics; Agronomy; Biology; Genotype; Genetics; Hybrid","score_opus":0.008621989606548707,"score_gpt":0.23403578467675876,"score_spread":0.22541379507021006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2364098916","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":[0.72528434,0.0006511874,0.19453527,0.0003040078,0.00031473467,0.00069947704,0.05182615,0.013825791,0.01255906],"genre_scores_gemma":[0.60115254,0.00019795197,0.3526646,0.00015427443,0.00004258725,0.001294769,0.03569899,0.0029446376,0.005849628],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99844486,0.00055118086,0.00005943546,0.0006660594,0.00018862954,0.00008988243],"domain_scores_gemma":[0.99846244,0.00073912996,0.00015687715,0.00021056585,0.0003021903,0.00012882352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001716256,0.0009789761,0.0009809872,0.0029634037,0.00066848827,0.0009305505,0.0004856567,0.00028351927,0.008468763],"category_scores_gemma":[0.002188109,0.00031967077,0.0008527474,0.0024838725,0.00022245474,0.00032629608,0.00050297176,0.00086559326,0.0017922472],"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":[0.0046262215,0.0013534604,0.06953781,0.0015570963,0.0011913304,0.0008601777,0.0020855884,0.0057387683,0.32371053,0.0021927701,0.020858783,0.5662874],"study_design_scores_gemma":[0.00026354825,0.00095553364,0.8810504,0.00011609596,0.00036368304,0.0006268485,0.0007342432,0.024967566,0.040394336,0.0015374987,0.04878975,0.00020052485],"about_ca_topic_score_codex":0.003762106,"about_ca_topic_score_gemma":0.005536677,"teacher_disagreement_score":0.008468763,"about_ca_system_score_codex":0.00049858313,"about_ca_system_score_gemma":0.00045881997,"threshold_uncertainty_score":0.028330863},"labels":[],"label_agreement":null},{"id":"W2364540794","doi":"","title":"The Ethnic Group Response to Urban Evolution in the He and Huang Region","year":2011,"lang":"en","type":"article","venue":"Journal of The Northwest Normal University","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Ethnic group; Ethnic history; Geography; Tribe; Economic geography; Demography; Gender studies; Ethnology; Sociology; Anthropology","score_opus":0.020707163257004578,"score_gpt":0.18297923317530448,"score_spread":0.1622720699182999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2364540794","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":[0.99897456,0.000017177905,0.000029687977,0.000029874009,0.0000010915447,0.0000022066768,0.000028468974,8.0200897e-7,0.00091624237],"genre_scores_gemma":[0.99950325,0.0000133910435,0.000022229306,0.0000036270008,0.0000012029512,0.0000017089396,0.00003408066,9.810134e-7,0.00041947985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997892,0.000060096736,0.000008042525,0.00003594863,0.00003242634,0.000074371455],"domain_scores_gemma":[0.9995171,0.00007548276,0.00014097773,0.000030399295,0.00012151568,0.00011455059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024647126,0.000056772784,0.00009914611,0.0007277636,0.0005843159,0.0004837363,0.00026375934,0.0001849746,0.0014886283],"category_scores_gemma":[0.0009381929,0.000060869148,0.00012053142,0.00091703515,0.00039181928,0.00029757296,0.0005175398,0.00017896054,0.00015069309],"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":[0.00012994026,0.000036663496,0.98063123,0.000013302367,0.000022110193,0.0002559299,0.007084275,0.00052251364,0.001964212,0.0011245612,0.00033716476,0.0078780735],"study_design_scores_gemma":[0.0000011391231,0.000018375767,0.9914825,0.000002454464,0.000004203462,0.00004771665,0.0069110063,0.0005583925,0.00019375586,0.00008439652,0.00069270405,0.0000033118251],"about_ca_topic_score_codex":0.029705834,"about_ca_topic_score_gemma":0.050733525,"teacher_disagreement_score":0.029705834,"about_ca_system_score_codex":0.0007991773,"about_ca_system_score_gemma":0.0004251184,"threshold_uncertainty_score":0.05906582},"labels":[],"label_agreement":null},{"id":"W2365335318","doi":"","title":"Study on Face Classification Methods Based on Facial Attributes","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Pattern recognition (psychology); Artificial intelligence; Linear discriminant analysis; Support vector machine; Facial recognition system; Principal component analysis; AdaBoost; Face (sociological concept); Feature (linguistics); Machine learning","score_opus":0.042343422957663225,"score_gpt":0.31377820274092333,"score_spread":0.2714347797832601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2365335318","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":[0.15789606,0.037980042,0.77973986,0.001205823,0.00058704946,0.00024035179,0.000181214,0.00036236338,0.02180727],"genre_scores_gemma":[0.68705636,0.0327758,0.26552477,0.00050347066,0.0013094747,0.00023604937,0.0005655137,0.00012149472,0.011907035],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988771,0.00026282464,0.00006320455,0.0002489138,0.0004957584,0.000052155912],"domain_scores_gemma":[0.9976044,0.001561787,0.00008626203,0.00013340918,0.00057572307,0.000038470167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013718924,0.00041736453,0.0007226494,0.0014283722,0.0003372253,0.00090879836,0.0004128847,0.00056742225,0.0015282859],"category_scores_gemma":[0.0035867675,0.00015665997,0.0005853578,0.0019547914,0.0004075399,0.0018714453,0.0002447174,0.0006198519,0.0006661602],"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":[0.00016002022,0.0002601961,0.0061396593,0.0005923903,0.00006609073,0.00009191099,0.00023349712,0.013657924,0.017337263,0.016440589,0.0021094696,0.942911],"study_design_scores_gemma":[0.000048666687,0.0010783229,0.029201364,0.00043790517,0.00016917507,0.0020395718,0.00069615414,0.80595124,0.069156155,0.028115252,0.06291601,0.00019019122],"about_ca_topic_score_codex":0.0009318392,"about_ca_topic_score_gemma":0.00047443918,"teacher_disagreement_score":0.0015282859,"about_ca_system_score_codex":0.0002877495,"about_ca_system_score_gemma":0.00023095595,"threshold_uncertainty_score":0.007255316},"labels":[],"label_agreement":null},{"id":"W2365476168","doi":"","title":"Study on extraction methods of land utilization information based on SPOT5","year":2011,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Land cover; Computer science; Pattern recognition (psychology); Support vector machine; Object (grammar); Artificial intelligence; Segmentation; Feature (linguistics); Feature extraction; Contextual image classification; Texture (cosmology); Remote sensing; Land use; Image (mathematics); Geography","score_opus":0.1269836738281436,"score_gpt":0.33027866345940876,"score_spread":0.20329498963126516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2365476168","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":[0.5393973,0.0023017474,0.45000342,0.00027079263,0.0001024514,0.00013351876,0.00025900992,0.00063825265,0.0068935463],"genre_scores_gemma":[0.7965623,0.0011523755,0.19800144,0.00005660686,0.000057146066,0.000075857286,0.00048561633,0.000086769745,0.003521843],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996117,0.00005835399,0.000027494429,0.000061906496,0.0002090257,0.00003153584],"domain_scores_gemma":[0.99944323,0.00018929702,0.0000566172,0.000036617195,0.000257841,0.000016446904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007836008,0.0003216119,0.0003005808,0.0012772001,0.0001853047,0.00050690933,0.00024605662,0.00021123825,0.0013760856],"category_scores_gemma":[0.00116308,0.00017738165,0.00038985317,0.0012924408,0.00016397331,0.0012147994,0.0001678082,0.00016579736,0.00038172488],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048415075,0.000111957685,0.0219591,0.0007446814,0.00011690332,0.00031497562,0.0005943332,0.005196647,0.2169342,0.0019870105,0.0013769829,0.750179],"study_design_scores_gemma":[0.0000947215,0.0008814944,0.18393321,0.00012385487,0.00045854,0.002282932,0.0012095377,0.29447475,0.4909919,0.0026601797,0.022762021,0.00012693694],"about_ca_topic_score_codex":0.0008580756,"about_ca_topic_score_gemma":0.0009797595,"teacher_disagreement_score":0.0013760856,"about_ca_system_score_codex":0.00013431022,"about_ca_system_score_gemma":0.00019886774,"threshold_uncertainty_score":0.004603505},"labels":[],"label_agreement":null},{"id":"W2365622270","doi":"","title":"The Effects of Pb Stress on Melo Chromosome Karyotype","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Karyotype; Melon; Squash; Biology; Chromosome; Genetics; Botany; Horticulture; Gene","score_opus":0.007759001664675135,"score_gpt":0.18628191142642153,"score_spread":0.1785229097617464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2365622270","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":[0.9951155,0.0013773236,0.0012830804,0.00017382998,0.000050298288,0.000021366417,0.00042520187,0.000047984846,0.0015053776],"genre_scores_gemma":[0.9960348,0.00053024944,0.00060552574,0.00012074568,0.000012075115,0.000026015845,0.00046298094,0.000022948176,0.0021846471],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990046,0.000021580438,0.000009748954,0.000027904078,0.000015111778,0.000025109994],"domain_scores_gemma":[0.99980825,0.000058718648,0.000029548859,0.00002309957,0.000030108045,0.00005027801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008257287,0.00032035843,0.00024919878,0.000160572,0.0002637596,0.00027834126,0.00012427323,0.00025573443,0.0019132831],"category_scores_gemma":[0.00024538796,0.00016932437,0.0002036587,0.00013180234,0.00023640817,0.000337135,0.00032587608,0.0005608409,0.0002460282],"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":[0.00047203165,0.00001811391,0.0014766079,0.000051023948,0.000009321281,0.000104045175,0.000085941756,0.00004522308,0.9959727,0.000043096563,0.00004406903,0.0016776738],"study_design_scores_gemma":[0.000026865042,0.0009173568,0.09318871,0.000015210788,0.000049495284,0.00046144426,0.00041404227,0.0005995394,0.90058625,0.00018296175,0.0035315722,0.000026552967],"about_ca_topic_score_codex":0.0019048596,"about_ca_topic_score_gemma":0.0028073457,"teacher_disagreement_score":0.0019132831,"about_ca_system_score_codex":0.00020072742,"about_ca_system_score_gemma":0.00015459287,"threshold_uncertainty_score":0.006400585},"labels":[],"label_agreement":null},{"id":"W2365855204","doi":"","title":"Landscape Value of Green Roofs","year":2010,"lang":"en","type":"article","venue":"Jiangsu Construction","topic":"Remote Sensing and Land Use","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":"Green roof; Urbanization; Legislation; China; Environmental planning; Noise pollution; Geography; Urban landscape; Environmental protection; Value (mathematics); Civil engineering; Urban heat island; Roof; Environmental engineering; Environmental science; Engineering; Economic growth; Political science; Law; Economics; Meteorology; Archaeology","score_opus":0.004541264230474534,"score_gpt":0.1817006810232398,"score_spread":0.17715941679276526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2365855204","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":[0.9073152,0.0012604988,0.002761231,0.00064390287,0.000032666238,0.000014946824,0.00012459815,0.000032488835,0.08781446],"genre_scores_gemma":[0.99734986,0.00019419704,0.0004768753,0.000019320201,0.000011874486,0.0000017692957,0.000027063874,0.000008731948,0.0019102119],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996406,0.0001255893,0.0000070146425,0.000024956975,0.00014171704,0.000060179154],"domain_scores_gemma":[0.9996382,0.00007054236,0.000058828147,0.000045334706,0.0001335796,0.000053443222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028242695,0.00013857071,0.00014365958,0.0015295269,0.00070689217,0.0016053229,0.00022210102,0.00024278476,0.0030797704],"category_scores_gemma":[0.000720043,0.000096971045,0.00020310176,0.0009980828,0.0007617761,0.00082294963,0.00083783007,0.00014794592,0.00020298308],"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":[0.00051137817,0.0001345944,0.2732699,0.0006136017,0.00018881031,0.003695195,0.0073389327,0.010643269,0.03853245,0.1292847,0.006676225,0.52911097],"study_design_scores_gemma":[0.000013752965,0.00029499203,0.81681144,0.0002522144,0.00017793052,0.0032608232,0.020296734,0.009073664,0.009110025,0.043548055,0.097104445,0.00005595256],"about_ca_topic_score_codex":0.0015419598,"about_ca_topic_score_gemma":0.007620947,"teacher_disagreement_score":0.0030797704,"about_ca_system_score_codex":0.00074510253,"about_ca_system_score_gemma":0.00019926975,"threshold_uncertainty_score":0.010302842},"labels":[],"label_agreement":null},{"id":"W2366097431","doi":"","title":"Application of ISOMAP for Cluster Analyses Of Chinese Documents","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Isomap; Computer science; Curse of dimensionality; Dimensionality reduction; Cluster analysis; Euclidean distance; Geodesic; Nonlinear dimensionality reduction; Pattern recognition (psychology); Hierarchical clustering; Visualization; Artificial intelligence; Cluster (spacecraft); Feature vector; Feature (linguistics); Clustering high-dimensional data; High dimensional; Data mining; Mathematics","score_opus":0.012322672661371244,"score_gpt":0.28966604828886844,"score_spread":0.27734337562749717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366097431","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":[0.02454203,0.0005049456,0.9645728,0.00027394647,0.000191298,0.0004311446,0.0006903391,0.0032354416,0.0055580474],"genre_scores_gemma":[0.15158117,0.00040752842,0.8432261,0.000045044242,0.0000683269,0.00093981443,0.0012613763,0.0003865464,0.002084143],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99526054,0.0013738804,0.00038228784,0.001035365,0.0017238912,0.0002240673],"domain_scores_gemma":[0.9977851,0.0005883406,0.000115470655,0.0002925047,0.0011475735,0.000070898896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039426326,0.0013543752,0.00096658757,0.0065997434,0.0019362523,0.0023938653,0.0012150933,0.0007082026,0.0033730122],"category_scores_gemma":[0.00961489,0.0005474248,0.0014488684,0.0085895285,0.0009789519,0.0023152847,0.001803071,0.0010463842,0.0012822829],"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":[0.00026721443,0.00012253047,0.0051460266,0.0006547763,0.00021932885,0.00027000147,0.002215821,0.02741175,0.009835221,0.01796069,0.0096762655,0.9262204],"study_design_scores_gemma":[0.00012912403,0.00028182552,0.030862577,0.0001549447,0.0002105946,0.00066445494,0.0022000452,0.8132941,0.034371726,0.06097809,0.056449402,0.00040308663],"about_ca_topic_score_codex":0.0073942943,"about_ca_topic_score_gemma":0.004317032,"teacher_disagreement_score":0.0073942943,"about_ca_system_score_codex":0.0010135951,"about_ca_system_score_gemma":0.001990222,"threshold_uncertainty_score":0.020850897},"labels":[],"label_agreement":null},{"id":"W2366159961","doi":"","title":"ENLIGHTENMENT OF CHINA'S WIDTH OF SANITARY PROTECTION ZONE BY EXPLORATION OF THE BUFFER ZONE ABROAD","year":2009,"lang":"en","type":"article","venue":"Xiandai yufang yixue","topic":"Remote Sensing and Land Use","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":"Buffer zone; China; Industrial zone; Exclusive economic zone; Enlightenment; Border zone; Free trade zone; Geography; Environmental protection; Dead zone; Political science; Law; Geology; Regional science; Oceanography; Medicine; Archaeology","score_opus":0.010169584827939879,"score_gpt":0.20157761390930581,"score_spread":0.19140802908136595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366159961","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":[0.98138833,0.0003382076,0.003996466,0.00084137655,0.000014602342,0.00001974126,0.00010889592,0.000024410796,0.013267985],"genre_scores_gemma":[0.99737775,0.00013799756,0.001462538,0.000025415873,0.000004584608,0.0000074508557,0.00005274469,0.0000024808455,0.0009289385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998374,0.000037298814,0.000008255804,0.000029569452,0.000046278295,0.000041239196],"domain_scores_gemma":[0.9997435,0.000044929966,0.00005485649,0.000029588877,0.00007897872,0.00004806281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054238294,0.00015383733,0.00010821474,0.000750737,0.0005640069,0.0008802665,0.00035009798,0.00019254284,0.0012279804],"category_scores_gemma":[0.0008990741,0.000099984936,0.00017128517,0.00068779866,0.00054797914,0.0009810681,0.0008236883,0.00028480645,0.000053188578],"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":[0.00021513816,0.00006101123,0.7475125,0.0001648015,0.000048661925,0.0006073411,0.0071265437,0.00795889,0.016311362,0.04419481,0.0026689875,0.17312999],"study_design_scores_gemma":[0.000018721357,0.000111286085,0.9457979,0.00007391416,0.000045634184,0.00019000577,0.010048651,0.008052241,0.0047853417,0.006031376,0.024805957,0.000038885042],"about_ca_topic_score_codex":0.020170132,"about_ca_topic_score_gemma":0.041599408,"teacher_disagreement_score":0.020170132,"about_ca_system_score_codex":0.0010851243,"about_ca_system_score_gemma":0.0024333736,"threshold_uncertainty_score":0.040105462},"labels":[],"label_agreement":null},{"id":"W2366201022","doi":"","title":"Application of digital surveying and mapping to the survey of Yuanyingsi ancient block tower","year":2006,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Tower; Blueprint; Block (permutation group theory); Software; Computer science; Computer graphics (images); Engineering drawing; Engineering; Civil engineering; Mathematics; Operating system","score_opus":0.02210668453564552,"score_gpt":0.2050362350023907,"score_spread":0.1829295504667452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366201022","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":[0.72513145,0.0011013537,0.24216111,0.00040544095,0.00012272547,0.00022997883,0.00090788753,0.00095321215,0.028986732],"genre_scores_gemma":[0.8602732,0.0005701813,0.13495065,0.00003578219,0.00001610297,0.000040574694,0.00045290965,0.00002401107,0.0036365732],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997904,0.00004360202,0.000012497144,0.000042625463,0.000087331246,0.00002348732],"domain_scores_gemma":[0.99985766,0.000018719877,0.000012548612,0.000035854984,0.0000576527,0.00001759375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026642147,0.0002671823,0.00012508845,0.0014638172,0.00036923305,0.00038008284,0.00020637347,0.00021490516,0.0017752403],"category_scores_gemma":[0.00045394452,0.00019675381,0.00022914332,0.0018983524,0.0001958567,0.00032697993,0.00056981173,0.00013737376,0.00026553872],"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":[0.00016573093,0.000054419885,0.072747625,0.00051489496,0.00006160473,0.0011661156,0.0016613002,0.034266047,0.08770526,0.0032445092,0.0031295598,0.79528296],"study_design_scores_gemma":[0.00011160095,0.0005189216,0.40215835,0.00020944126,0.00020068737,0.0033673025,0.00413169,0.40097708,0.06416989,0.005508917,0.118513055,0.00013298684],"about_ca_topic_score_codex":0.010410583,"about_ca_topic_score_gemma":0.015864134,"teacher_disagreement_score":0.010410583,"about_ca_system_score_codex":0.00033505645,"about_ca_system_score_gemma":0.000666392,"threshold_uncertainty_score":0.020699978},"labels":[],"label_agreement":null},{"id":"W2366201553","doi":"","title":"Study on Population Carrying Capacity of Loess Hilly and Gully Area of Arable Land Resources:The Case Study on Dingxi City of Gansu Province","year":2009,"lang":"en","type":"article","venue":"Xibei renkou","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Loess; Arable land; Carrying capacity; Geography; Population; Cultivated land; Land use; Population growth; Environmental protection; Water resource management; Environmental resource management; Agriculture; Environmental science; Ecology","score_opus":0.04408875688581644,"score_gpt":0.24511284829600663,"score_spread":0.20102409141019018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366201553","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":[0.9991848,0.000012396966,0.00006431195,0.000021427883,5.8044014e-7,0.000003050305,0.000134965,0.0000023250198,0.00057619263],"genre_scores_gemma":[0.9995394,0.000018448663,0.00007058397,0.0000022428374,6.578165e-7,0.0000030446608,0.00014034742,5.0066853e-7,0.00022488752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999229,0.000017010467,0.000003247362,0.000014662217,0.000015639736,0.000026573556],"domain_scores_gemma":[0.99981123,0.000065958244,0.00003135992,0.000018238012,0.000042774336,0.000030482453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018375076,0.00012808133,0.00010686086,0.0005190357,0.00038983178,0.00029003888,0.00030977358,0.00014821716,0.0011496738],"category_scores_gemma":[0.00043052592,0.000090925605,0.0001778623,0.0005995755,0.00020801574,0.00022751623,0.00021441068,0.00015534679,0.00006417948],"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":[0.00005317259,0.00004611492,0.9713135,0.000021984897,0.000055531236,0.0014371381,0.002389933,0.011420707,0.0006178116,0.0008621619,0.0010236509,0.010758392],"study_design_scores_gemma":[0.000009690004,0.000054039905,0.966229,0.000008620655,0.000028822382,0.00040046053,0.005068153,0.026050217,0.00034578034,0.00018876248,0.0015991505,0.000017197832],"about_ca_topic_score_codex":0.25051916,"about_ca_topic_score_gemma":0.34934974,"teacher_disagreement_score":0.25051916,"about_ca_system_score_codex":0.0012071386,"about_ca_system_score_gemma":0.0005266347,"threshold_uncertainty_score":0.49812192},"labels":[],"label_agreement":null},{"id":"W2366533081","doi":"","title":"The Comprehensive Evaluation of the Ornamental Flower Plants Introduced from Canada by the Application of Hierarchy-relation Analysis","year":2009,"lang":"en","type":"article","venue":"Xibei nongye xuebao","topic":"Remote Sensing and Land Use","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":"Adaptability; Ornamental plant; Impatiens; Landscaping; Geography; Biology; Botany; Cultivar; Ecology","score_opus":0.010155558871998215,"score_gpt":0.21936779173265875,"score_spread":0.20921223286066054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366533081","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":[0.9975579,0.00011618614,0.0009010649,0.00001679615,9.42801e-7,0.000021731541,0.00020161022,0.000010199609,0.0011734967],"genre_scores_gemma":[0.9957585,0.00014089768,0.003032783,0.000005261275,8.9681294e-7,0.000009095663,0.00034680666,0.0000020449388,0.0007036878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998234,0.000014296157,0.000005443962,0.000023878009,0.00010138581,0.000031598673],"domain_scores_gemma":[0.9996952,0.000023391625,0.000026675658,0.0000105649115,0.00018980268,0.000054403707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024351061,0.00018200754,0.00012678526,0.0012547056,0.00075288344,0.0003307655,0.00013919233,0.00006334894,0.0003746679],"category_scores_gemma":[0.00033499673,0.000060567017,0.00017397242,0.00139147,0.00022589849,0.00017803942,0.0003120789,0.00008709883,0.000027595523],"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":[0.00029006627,0.000066908906,0.70595133,0.0002562988,0.00011004661,0.0006074445,0.003677038,0.0032375345,0.124555044,0.00097126584,0.00060195045,0.15967499],"study_design_scores_gemma":[0.0000043476716,0.00007231112,0.98934746,0.000008055007,0.000049422164,0.000109962435,0.0012317371,0.0025260313,0.004471076,0.00010792652,0.0020579286,0.000013713103],"about_ca_topic_score_codex":0.5024706,"about_ca_topic_score_gemma":0.7648684,"teacher_disagreement_score":0.4975294,"about_ca_system_score_codex":0.0029290551,"about_ca_system_score_gemma":0.0024514229,"threshold_uncertainty_score":0.9990918},"labels":[],"label_agreement":null},{"id":"W2366829806","doi":"","title":"Study on the Ecosystem Service Values and Its Change of Xi'an City","year":2015,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Ecosystem services; Ecosystem; Water conservation; Environmental science; Environmental protection; Environmental resource management; Ecology; Water resources; Biology","score_opus":0.16707263343071754,"score_gpt":0.2715401010856735,"score_spread":0.10446746765495596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366829806","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":[0.99786156,0.000084468484,0.00017676124,0.000060053328,0.0000043277746,0.0000034959064,0.00047421243,0.0000051869447,0.001330048],"genre_scores_gemma":[0.99893993,0.000069760375,0.00010268409,0.000009252997,0.00000350436,0.0000039081506,0.00052254385,0.0000017254813,0.0003467787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999866,0.000016669548,0.000011017457,0.000029060233,0.00003735096,0.00004002716],"domain_scores_gemma":[0.9997359,0.00003213248,0.000071993156,0.000016646347,0.00008189744,0.000061475264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019444179,0.00016184614,0.00013641303,0.0013087901,0.00031612784,0.0006098211,0.00019296867,0.00015484943,0.0007450748],"category_scores_gemma":[0.00049347256,0.00010771748,0.00035186252,0.0023992609,0.00019264071,0.0004033306,0.0003725054,0.00027920216,0.00006671226],"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":[0.000029046598,0.000022434127,0.9872168,0.000029989164,0.00008792234,0.00027050753,0.00048133906,0.002372826,0.0005998559,0.0007368784,0.0007103805,0.0074420655],"study_design_scores_gemma":[0.0000011620925,0.000008429152,0.9955532,0.000004539292,0.000015840818,0.0000682651,0.00039143296,0.0026655889,0.00010813182,0.00008430443,0.0010941005,0.000005088117],"about_ca_topic_score_codex":0.05118948,"about_ca_topic_score_gemma":0.07158038,"teacher_disagreement_score":0.05118948,"about_ca_system_score_codex":0.0013970914,"about_ca_system_score_gemma":0.00061818055,"threshold_uncertainty_score":0.10178304},"labels":[],"label_agreement":null},{"id":"W2366880396","doi":"","title":"Simulation of Desert Plants Based on L-Studio","year":2010,"lang":"en","type":"article","venue":"Computer and Modernization","topic":"Remote Sensing and Land Use","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":"Desert (philosophy); Computer science; Studio; Microsoft Visual Studio; Software; Computer graphics (images); Computer graphics; Subject (documents); World Wide Web; Operating system; Telecommunications","score_opus":0.01426690861449631,"score_gpt":0.21431247358161232,"score_spread":0.200045564967116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366880396","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":[0.17632112,0.00050919334,0.70369047,0.0005225043,0.0002231483,0.00025147424,0.0042655505,0.025047084,0.089169495],"genre_scores_gemma":[0.725311,0.0006637026,0.2392858,0.0001835207,0.000030609313,0.00055189553,0.00416344,0.0020508438,0.027759166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998234,0.000038204722,0.000011914112,0.000022912856,0.000072278905,0.000031366613],"domain_scores_gemma":[0.999624,0.00017207632,0.000023310262,0.00002976462,0.000103623745,0.000047099253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031888392,0.00050469686,0.0005907011,0.00044166026,0.0003775679,0.00064334675,0.0010707021,0.0007234452,0.010857423],"category_scores_gemma":[0.000635102,0.00029482497,0.0007813523,0.00040558673,0.00033576583,0.00047973832,0.00056127354,0.00067370717,0.0011229926],"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":[0.00032436202,0.00012702477,0.0034315258,0.00044109888,0.00007258535,0.0002934388,0.00041913262,0.90888906,0.031146564,0.013101344,0.010597863,0.031155985],"study_design_scores_gemma":[0.00005401303,0.000043075594,0.00036862135,0.00001884098,0.000015811453,0.000067548885,0.000034929417,0.9791941,0.006362974,0.0010603633,0.012760006,0.00001967842],"about_ca_topic_score_codex":0.0086434875,"about_ca_topic_score_gemma":0.0068193832,"teacher_disagreement_score":0.010857423,"about_ca_system_score_codex":0.00048726826,"about_ca_system_score_gemma":0.0007832447,"threshold_uncertainty_score":0.03632176},"labels":[],"label_agreement":null},{"id":"W2367905605","doi":"","title":"Anomaly detection algorithm based on wavelet decomposition and vertex component analysis in hyperspectral images","year":2014,"lang":"en","type":"article","venue":"Journal of Optoelectronics·laser","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Hyperspectral imaging; Endmember; Anomaly detection; Pixel; Wavelet; Pattern recognition (psychology); Artificial intelligence; Principal component analysis; Independent component analysis; Mathematics; Anomaly (physics); Vertex (graph theory); False alarm; Algorithm; Computer science; Graph; Physics","score_opus":0.00392249346114955,"score_gpt":0.2082343968615382,"score_spread":0.20431190340038863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367905605","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018157765,0.00010567534,0.9805386,0.000051168892,0.00003755124,0.000025980864,0.000025718664,0.00070228527,0.00035524165],"genre_scores_gemma":[0.26638085,0.00042168764,0.7298333,0.000059861664,0.00005971718,0.00011045899,0.00034393914,0.00015857989,0.0026316075],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992792,0.00007209105,0.000043029635,0.00018357427,0.00034849055,0.00007370125],"domain_scores_gemma":[0.9995369,0.0000899882,0.000049265847,0.000038913553,0.0002565323,0.00002855076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055871956,0.0007498926,0.0008406542,0.0014404586,0.00044158136,0.0009999026,0.0009205535,0.00062053674,0.000977526],"category_scores_gemma":[0.0011411987,0.00036230948,0.0007972174,0.0014450282,0.00039700264,0.0015488104,0.0007013792,0.0009549364,0.00043357175],"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":[0.0002513447,0.000116581,0.003519346,0.00016072966,0.0001222713,0.00017136494,0.0001544443,0.04462393,0.12029549,0.0074979546,0.0024742982,0.82061225],"study_design_scores_gemma":[0.000017777435,0.00007207123,0.0028012183,0.0000085860775,0.000037566482,0.00024220177,0.000044566656,0.9579994,0.034215216,0.0026533203,0.0018757733,0.00003225814],"about_ca_topic_score_codex":0.0025941976,"about_ca_topic_score_gemma":0.0014820196,"teacher_disagreement_score":0.0025941976,"about_ca_system_score_codex":0.00040831824,"about_ca_system_score_gemma":0.0007488907,"threshold_uncertainty_score":0.0051581264},"labels":[],"label_agreement":null},{"id":"W2368017582","doi":"","title":"RESEARCHES INTO THE CLASSIFICATION OF THE FARMLAND IN TUMOTEZUO BANNER, INNER MONGOLIA","year":2004,"lang":"en","type":"article","venue":"Neimenggu Shi-da xuebao. Zhexue shehui kexue hanwen ban","topic":"Remote Sensing and Land Use","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":"Banner; Arable land; Quarter (Canadian coin); Index (typography); Inner mongolia; Geography; Agricultural economics; Statistics; Mathematics; China; Computer science; Agriculture; Economics; Archaeology","score_opus":0.02972667019796255,"score_gpt":0.24625370591864354,"score_spread":0.216527035720681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368017582","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":[0.99893445,0.0000750786,0.00012124302,0.00005320216,0.0000014617017,0.000005016075,0.00004086214,9.2585555e-7,0.0007678135],"genre_scores_gemma":[0.99865013,0.000076272234,0.00027547404,0.000011774823,0.0000015509074,0.0000043609666,0.00012222641,7.705577e-7,0.0008574365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999775,0.00006158482,0.0000148171075,0.000035891564,0.000039801074,0.00007293946],"domain_scores_gemma":[0.9997979,0.000037173195,0.000058415088,0.000009787852,0.0000611795,0.000035623325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004057751,0.00012854762,0.000102058606,0.0012777001,0.00058385637,0.00045381472,0.0001892769,0.00014706264,0.0009768221],"category_scores_gemma":[0.0004039232,0.000075830896,0.0001076762,0.0011625034,0.0003410703,0.00037399863,0.00022043606,0.00011538074,0.000077147655],"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":[0.00004672568,0.000048883034,0.95797205,0.000078602614,0.000020232384,0.00027216054,0.01010114,0.00039528232,0.003991932,0.0009816318,0.0003112502,0.025779998],"study_design_scores_gemma":[0.000001175848,0.000022894088,0.98665595,0.000012125285,0.00000497746,0.000064621665,0.011275347,0.00057149644,0.00023456628,0.0000829129,0.0010700526,0.0000037317118],"about_ca_topic_score_codex":0.065293945,"about_ca_topic_score_gemma":0.17319816,"teacher_disagreement_score":0.065293945,"about_ca_system_score_codex":0.0012007568,"about_ca_system_score_gemma":0.00072085,"threshold_uncertainty_score":0.1298278},"labels":[],"label_agreement":null},{"id":"W2368111862","doi":"","title":"Studies on Buds’ Growth under Low Temperature and Freezing Point from Leaves of Papaver Nudicaule","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Papaver; Freezing point; Botany; Horticulture; Biology; Physics","score_opus":0.014370147634004666,"score_gpt":0.22200495984830118,"score_spread":0.20763481221429653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368111862","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":[0.9980388,0.0003447296,0.0004638979,0.000018856208,0.000004353242,0.0000050666067,0.00015901607,0.000008160802,0.0009570358],"genre_scores_gemma":[0.99792635,0.0001750468,0.00048325706,0.000027620146,0.0000021498645,0.0000067228357,0.00041493052,0.0000065046584,0.00095738436],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99995935,0.000003210739,0.0000029165553,0.000014958154,0.000011708956,0.0000079194415],"domain_scores_gemma":[0.99987376,0.00003473891,0.000018545981,0.000008621335,0.000027245076,0.000036955826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008724579,0.00012748354,0.00015059109,0.00028295815,0.0002921436,0.0001508823,0.00011746479,0.00011387681,0.00039195883],"category_scores_gemma":[0.000113076516,0.000081786246,0.00017594275,0.00016519219,0.00015199461,0.00014281046,0.0001538724,0.00050484965,0.00013962036],"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":[0.00007833163,0.000012185712,0.009556529,0.00004376792,0.000006295987,0.0003007441,0.0002325875,0.0000696672,0.9878185,0.000048382677,0.000034367593,0.0017986138],"study_design_scores_gemma":[0.000013757677,0.00034503665,0.63472944,0.000013095333,0.000051097646,0.0016492014,0.0004966173,0.0007961422,0.35908857,0.00015028148,0.0026291767,0.000037638434],"about_ca_topic_score_codex":0.0037601853,"about_ca_topic_score_gemma":0.0055689714,"teacher_disagreement_score":0.0037601853,"about_ca_system_score_codex":0.00017995249,"about_ca_system_score_gemma":0.00009538353,"threshold_uncertainty_score":0.007476628},"labels":[],"label_agreement":null},{"id":"W2368183571","doi":"","title":"Landscape pattern evolution in Shiyang river basin based on GIS","year":2013,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Ecotone; Desertification; Grassland; Arid; Woodland; Drainage basin; Structural basin; Physical geography; Desert (philosophy); Hydrology (agriculture); Environmental science; Geography; Geology; Ecology; Geomorphology; Habitat","score_opus":0.009359292352617846,"score_gpt":0.18611228063170962,"score_spread":0.17675298827909178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368183571","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":[0.9983895,0.00003467256,0.00038244642,0.000024314782,9.3424336e-7,0.000005165336,0.00037156197,0.00003692681,0.00075453176],"genre_scores_gemma":[0.998582,0.000026940208,0.00050282886,0.0000030838696,7.602361e-7,0.000010209594,0.00061120454,0.0000032625162,0.00025986205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991965,0.000015095115,0.000007384001,0.000022751008,0.000018235292,0.000016858601],"domain_scores_gemma":[0.99988973,0.000026675254,0.00002043652,0.000009871209,0.000038658294,0.000014703151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114496805,0.00012336823,0.00014963522,0.0014834392,0.0002171424,0.00041070662,0.00016174016,0.00014213187,0.0011190024],"category_scores_gemma":[0.00035058128,0.00011386552,0.00020843843,0.0022683674,0.00015735117,0.0003871348,0.00021361913,0.00006435746,0.00009696771],"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":[0.00008645824,0.000031966036,0.9376582,0.00007812148,0.00009517884,0.0006456831,0.0015298821,0.01093833,0.0052703167,0.0005690387,0.0015583803,0.041538436],"study_design_scores_gemma":[0.0000054260754,0.000019471423,0.97671664,0.0000069361786,0.000021059454,0.00010558587,0.0009735035,0.02042534,0.0002533354,0.00013415542,0.0013290457,0.000009465824],"about_ca_topic_score_codex":0.033264946,"about_ca_topic_score_gemma":0.06659521,"teacher_disagreement_score":0.033264946,"about_ca_system_score_codex":0.0006508047,"about_ca_system_score_gemma":0.00024026597,"threshold_uncertainty_score":0.06614262},"labels":[],"label_agreement":null},{"id":"W2368624115","doi":"","title":"Noninvasive detection using diffuse reflectance spectrum for monitoring jujube interior pest based on support vector machine","year":2014,"lang":"en","type":"article","venue":"Dongbei Nongye Daxue xuebao","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Principal component analysis; Chemometrics; Biological system; Support vector machine; Sample (material); Computer science; Near-infrared spectroscopy; Pattern recognition (psychology); Reflectivity; Artificial intelligence; Remote sensing; Environmental science; Mathematics; Optics; Chemistry; Machine learning; Chromatography; Physics; Biology","score_opus":0.0196367840109168,"score_gpt":0.2452388439764228,"score_spread":0.22560205996550597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368624115","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":[0.38873023,0.0007274448,0.6069067,0.00015114687,0.00007838144,0.00007573277,0.00016493529,0.001207857,0.001957612],"genre_scores_gemma":[0.9402321,0.00031556672,0.05699079,0.00004505963,0.000033524808,0.00006417392,0.0002804349,0.000017793891,0.0020205684],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996543,0.00006885425,0.0000187586,0.000087805536,0.00014052069,0.00002978736],"domain_scores_gemma":[0.9997603,0.000077568046,0.00002946918,0.000018350816,0.00009780557,0.000016513239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004135983,0.0006414858,0.00035846827,0.00074278493,0.00015049004,0.00035062624,0.00029853027,0.0003380534,0.00056142575],"category_scores_gemma":[0.0006737104,0.00018054766,0.00031209172,0.00030467805,0.00015163215,0.00047355267,0.0002259392,0.00039345966,0.0002552105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040525995,0.0004970804,0.027836477,0.00034314007,0.00015817834,0.00016591388,0.00018157874,0.056769013,0.20036268,0.0011820592,0.0029857995,0.7091129],"study_design_scores_gemma":[0.000026426189,0.0003372094,0.017550023,0.000016866145,0.000044710985,0.00016153336,0.00008169134,0.94825745,0.031398673,0.00061011757,0.0014839394,0.000031351035],"about_ca_topic_score_codex":0.0010217611,"about_ca_topic_score_gemma":0.0011419648,"teacher_disagreement_score":0.0010217611,"about_ca_system_score_codex":0.00017109924,"about_ca_system_score_gemma":0.00018345875,"threshold_uncertainty_score":0.0021873116},"labels":[],"label_agreement":null},{"id":"W2368881793","doi":"","title":"Creation of Uniform and Harmonious Landscape Environment in Landscape Planning","year":2002,"lang":"en","type":"article","venue":"Journal of Southwest Forestry College","topic":"Remote Sensing and Land Use","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":"Landscape architecture; Landscape planning; Quarter (Canadian coin); Landscape design; Geography; Environmental resource management; Computer science; Environmental planning; Civil engineering; Environmental science; Engineering; Archaeology","score_opus":0.014157791741478193,"score_gpt":0.1977901261262105,"score_spread":0.1836323343847323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368881793","genre_codex":"other","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":[0.31010458,0.0028776296,0.15829931,0.0071401554,0.00016442753,0.00030613414,0.000033324788,0.00009888791,0.5209756],"genre_scores_gemma":[0.97521734,0.00035614683,0.018636888,0.00009777007,0.000022688006,0.00005590201,0.0000064405526,0.000011119356,0.0055956817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979437,0.0012747075,0.000066404304,0.00013906304,0.00029649495,0.00027973473],"domain_scores_gemma":[0.99918205,0.00028261502,0.00009899738,0.00011476824,0.00015084707,0.00017080014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003075839,0.00014074586,0.00015354877,0.000800344,0.0025219976,0.0040472066,0.00044988692,0.0006822083,0.0019883164],"category_scores_gemma":[0.0021534795,0.000189217,0.00015155177,0.001200615,0.006752523,0.0025621988,0.0021721346,0.00079249794,0.000160674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002037507,0.000043951135,0.0036967814,0.000098636694,0.000008750347,0.0005260543,0.0058464254,0.004745725,0.00094918656,0.9249516,0.001160973,0.057951562],"study_design_scores_gemma":[0.000031661977,0.00026417387,0.02082413,0.00026101538,0.00003667243,0.0010741475,0.0342612,0.012261794,0.0023156602,0.762585,0.16602571,0.000058798425],"about_ca_topic_score_codex":0.0033262768,"about_ca_topic_score_gemma":0.010058298,"teacher_disagreement_score":0.0040472066,"about_ca_system_score_codex":0.0026456486,"about_ca_system_score_gemma":0.0023971584,"threshold_uncertainty_score":0.019195557},"labels":[],"label_agreement":null},{"id":"W2368977695","doi":"10.11873/j.issn.1004-0323.2003.5.306","title":"The Applications of High-resolution Satellite Images for Land Cover monitoring in Nanji Islands","year":2003,"lang":"en","type":"article","venue":"Yaogan jishu yu yingyong","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"L'Alliance Boviteq","funders":"","keywords":"Land cover; Remote sensing; Cohen's kappa; Satellite; Shore; Cover (algebra); Vegetation (pathology); Geography; Cartography; Computer science; Land use; Geology; Engineering; Machine learning","score_opus":0.011560713973860872,"score_gpt":0.22107541753867002,"score_spread":0.20951470356480914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368977695","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":[0.95277613,0.004509764,0.027869128,0.00089802727,0.000057817884,0.000084913874,0.00040737598,0.00021243264,0.013184496],"genre_scores_gemma":[0.9699562,0.0017577165,0.026292881,0.000088176384,0.000038997463,0.00003372864,0.0002871887,0.000010046812,0.001535052],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998611,0.000052993542,0.000008358147,0.000018074736,0.00004813535,0.000011341308],"domain_scores_gemma":[0.9998336,0.000039581584,0.000022043332,0.000022042996,0.00006703786,0.00001576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035334274,0.00018221764,0.000086169515,0.000501067,0.00013590668,0.0002852366,0.00014397362,0.00016464308,0.00050328375],"category_scores_gemma":[0.0005778689,0.000109807326,0.00012931539,0.00040808864,0.00009091304,0.00032809374,0.00017912665,0.00013549093,0.0000877582],"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":[0.00011961101,0.00010041613,0.23852806,0.0004739734,0.00009335742,0.00063192623,0.00091896864,0.012693819,0.06229057,0.0013115513,0.0029500194,0.67988783],"study_design_scores_gemma":[0.000021377435,0.00012692877,0.9002591,0.00009581104,0.00013787714,0.00041870377,0.0011802979,0.06331473,0.015252871,0.00095466507,0.018198412,0.000039208586],"about_ca_topic_score_codex":0.0060003954,"about_ca_topic_score_gemma":0.014923899,"teacher_disagreement_score":0.0060003954,"about_ca_system_score_codex":0.00019104219,"about_ca_system_score_gemma":0.0002079959,"threshold_uncertainty_score":0.011930943},"labels":[],"label_agreement":null},{"id":"W2369021356","doi":"","title":"Design and Develop on Highway Slope Stability Evaluation System Base on ArcGIS","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Terrain; Computer science; Slope stability; Reliability (semiconductor); Visualization; Software; Stability (learning theory); Base (topology); Civil engineering; Data mining; Engineering","score_opus":0.03405586026721427,"score_gpt":0.23294920225817692,"score_spread":0.19889334199096265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2369021356","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":[0.019278254,0.000113504604,0.90883666,0.00027407266,0.00011022246,0.00095077354,0.0031287635,0.056336157,0.010971494],"genre_scores_gemma":[0.14648885,0.00022441085,0.8249218,0.00018135585,0.00006297808,0.0015284027,0.012412615,0.0031084735,0.0110710375],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992631,0.00015091628,0.00009505725,0.00016114164,0.0002867356,0.000043084907],"domain_scores_gemma":[0.99821824,0.00023081593,0.00008261907,0.00019528938,0.0011765051,0.0000964811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020096716,0.00062492245,0.0005091878,0.0026603749,0.00043801195,0.0011111827,0.0008443789,0.00031301458,0.007970198],"category_scores_gemma":[0.003069119,0.00045007849,0.000465351,0.0015658769,0.0002351134,0.0011615842,0.0008516759,0.00046685032,0.0036108578],"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":[0.0003848201,0.00023531444,0.027922519,0.00046988486,0.00023597019,0.00035120585,0.0013367984,0.029358156,0.031644955,0.019616581,0.087754585,0.80068904],"study_design_scores_gemma":[0.0004770737,0.0004164171,0.030568244,0.00024206909,0.00033791398,0.00085711916,0.0009783326,0.46890807,0.093285725,0.016388237,0.38727874,0.0002620532],"about_ca_topic_score_codex":0.00462578,"about_ca_topic_score_gemma":0.0026203578,"teacher_disagreement_score":0.007970198,"about_ca_system_score_codex":0.00050660287,"about_ca_system_score_gemma":0.0015620763,"threshold_uncertainty_score":0.026662946},"labels":[],"label_agreement":null},{"id":"W2369596368","doi":"","title":"MAS Modeling of Urban Spatial Evolution","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Set (abstract data type); Agent-based model; Multi-agent system; Artificial intelligence","score_opus":0.008998225856424241,"score_gpt":0.2028997571732335,"score_spread":0.19390153131680926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2369596368","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":[0.037444636,0.0007862901,0.9301131,0.0006867729,0.00010485232,0.000053384643,0.00018374133,0.00031545415,0.030311743],"genre_scores_gemma":[0.8872602,0.0012360432,0.09179955,0.000071807364,0.00008320288,0.00021551302,0.00018639024,0.00007524242,0.01907194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981195,0.0000732342,0.000009716507,0.000037177975,0.000046426576,0.000021402251],"domain_scores_gemma":[0.99980646,0.00006205464,0.000040051735,0.000017484563,0.00005087029,0.000023119454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002238221,0.00034768772,0.0004061578,0.00052174943,0.0005914129,0.0008332085,0.00069017865,0.00040319547,0.0024083448],"category_scores_gemma":[0.0006992859,0.00020129875,0.00051028974,0.0005346325,0.0006077196,0.0009250913,0.00073806907,0.0004837898,0.00025669445],"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":[0.000013523732,0.00000923386,0.00059544505,0.000048343867,0.00002903786,0.0001625581,0.00019065526,0.63981134,0.001058848,0.3488908,0.0011430271,0.008047182],"study_design_scores_gemma":[0.0000049330733,0.000008767516,0.00014335131,0.0000054258844,0.000008401786,0.000026215663,0.000046752662,0.9620345,0.00018974289,0.031781968,0.005744898,0.000005037955],"about_ca_topic_score_codex":0.010900271,"about_ca_topic_score_gemma":0.007500518,"teacher_disagreement_score":0.010900271,"about_ca_system_score_codex":0.0010353945,"about_ca_system_score_gemma":0.00071612356,"threshold_uncertainty_score":0.02167362},"labels":[],"label_agreement":null},{"id":"W2369669927","doi":"","title":"Spatial-Temporal Characteristics in Urban Morphology of Majior Cities in China during 1990-2010","year":2015,"lang":"en","type":"article","venue":"Economic Geography","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Urbanization; Geography; Urban morphology; Economic geography; Common spatial pattern; China; Index (typography); Urban climate; Urban expansion; Fractal dimension; Physical geography; Urban planning; Fractal; Economic growth; Computer science; Statistics; Mathematics; Civil engineering","score_opus":0.009861964579259174,"score_gpt":0.1819956325591144,"score_spread":0.17213366797985524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2369669927","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":[0.9985349,0.00010139073,0.00006662062,0.000024399933,0.0000017222012,0.000005202477,0.0007528039,0.000006689013,0.00050629437],"genre_scores_gemma":[0.99775094,0.000088693734,0.00008710135,0.0000062714034,0.0000025956554,0.000009698049,0.0016641824,0.0000021990272,0.0003883582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998,0.00001758683,0.000028890285,0.00005040896,0.000050590814,0.000052665502],"domain_scores_gemma":[0.99956244,0.000038560232,0.00016745154,0.00003579066,0.0001214225,0.000074348914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031319723,0.00021120763,0.00014197192,0.002262824,0.0003512179,0.00045362354,0.0002525392,0.00016502547,0.0006600073],"category_scores_gemma":[0.00071054575,0.00015846931,0.00034181357,0.0027571858,0.00027796126,0.0003917608,0.0004987514,0.00012502895,0.00012265902],"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":[0.00005032081,0.00001032414,0.99310315,0.000019675246,0.00003084233,0.00013478572,0.0005662814,0.00036156925,0.0005598121,0.00010076844,0.00028709022,0.0047755027],"study_design_scores_gemma":[4.0026617e-7,0.0000052004325,0.9993807,0.0000011657952,0.0000037265868,0.00003508751,0.00014130575,0.00017419351,0.00003772225,0.000006134261,0.00021284095,0.0000015091446],"about_ca_topic_score_codex":0.062686585,"about_ca_topic_score_gemma":0.12721857,"teacher_disagreement_score":0.062686585,"about_ca_system_score_codex":0.0014309209,"about_ca_system_score_gemma":0.0006257712,"threshold_uncertainty_score":0.124643445},"labels":[],"label_agreement":null},{"id":"W2369689747","doi":"","title":"Research on Dunhuang Oasis Agriculture Development","year":2006,"lang":"en","type":"article","venue":"Anhui nongye kexue","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Countermeasure; Agriculture; Principal component analysis; Agricultural engineering; Agricultural development; Environmental science; Computer science; Geography; Engineering; Archaeology; Artificial intelligence","score_opus":0.0394274927227975,"score_gpt":0.26873228736023336,"score_spread":0.22930479463743586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2369689747","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":[0.947157,0.014750594,0.00056151743,0.0019637125,0.0000932734,0.000027121647,0.0003385823,0.000015251112,0.03509285],"genre_scores_gemma":[0.978304,0.013988928,0.0006454756,0.0001079445,0.000035294186,0.000006936574,0.00026988657,0.0000014926558,0.006639875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998683,0.000023266824,0.0000087087155,0.000023606597,0.000036160982,0.000040011488],"domain_scores_gemma":[0.9998149,0.0000333994,0.000041930285,0.0000071645854,0.00007567783,0.000026839243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025176053,0.00025493326,0.00010446127,0.001612391,0.0007280958,0.0008273516,0.00017572647,0.00011438331,0.0023711731],"category_scores_gemma":[0.00038562258,0.00008129513,0.0001249217,0.0035684637,0.0003354203,0.00052421546,0.00024375173,0.00019419982,0.00009189245],"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":[0.00011217903,0.00011270909,0.5511532,0.001749238,0.00012188176,0.00449796,0.014509669,0.0012066008,0.026630389,0.03533813,0.0045512673,0.3600167],"study_design_scores_gemma":[0.0000065100403,0.00009334479,0.91094863,0.00013507159,0.00004681547,0.0005403549,0.01650181,0.00048530358,0.0022878442,0.0010346564,0.06790549,0.000014226723],"about_ca_topic_score_codex":0.10364158,"about_ca_topic_score_gemma":0.22353256,"teacher_disagreement_score":0.10364158,"about_ca_system_score_codex":0.002348328,"about_ca_system_score_gemma":0.0025934833,"threshold_uncertainty_score":0.20607662},"labels":[],"label_agreement":null},{"id":"W2369787819","doi":"","title":"Dynamic evolution and optimization of green open space in Luoyang","year":2012,"lang":"en","type":"article","venue":"Geographical Research","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"University of Saskatchewan","funders":"","keywords":"Species evenness; Riparian zone; Geography; Riparian forest; Ecology; Habitat; Species diversity","score_opus":0.04060526667545283,"score_gpt":0.3237071450545919,"score_spread":0.2831018783791391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2369787819","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":[0.99239326,0.000023353332,0.0054551153,0.00003432462,0.000002412572,0.000005951264,0.000040694416,0.000020542897,0.0020244392],"genre_scores_gemma":[0.99765366,0.000018238374,0.0014357752,0.000004800643,0.0000010039421,0.000008731443,0.000051384486,0.0000067656033,0.0008197068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99994516,0.000009094497,0.0000022114787,0.000012479046,0.000008673983,0.000022310296],"domain_scores_gemma":[0.99988735,0.000035185607,0.000025082787,0.0000067465003,0.000019503223,0.000026102874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013071432,0.00020696326,0.0002567133,0.00037615726,0.00029715872,0.0005763035,0.0004119883,0.00032775296,0.0015004006],"category_scores_gemma":[0.00044917266,0.00018456075,0.0002959639,0.00031946725,0.00034030847,0.0006060148,0.00052086666,0.00017089739,0.000089809844],"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":[0.00012082037,0.0001004961,0.025869355,0.000030432122,0.00004205332,0.00044033251,0.0001854473,0.94290125,0.010919458,0.0033313252,0.0006040909,0.015454908],"study_design_scores_gemma":[0.000008775228,0.000079798585,0.010977362,0.0000021310268,0.000009699767,0.0000328862,0.00016891911,0.98656034,0.00060819206,0.0009771176,0.000566351,0.000008397197],"about_ca_topic_score_codex":0.012969619,"about_ca_topic_score_gemma":0.012625728,"teacher_disagreement_score":0.012969619,"about_ca_system_score_codex":0.00074954215,"about_ca_system_score_gemma":0.00034562385,"threshold_uncertainty_score":0.025788248},"labels":[],"label_agreement":null},{"id":"W2370165916","doi":"","title":"A study on detection of chlorophyll concentration from Ocean Multi-bands Scanner","year":2001,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Ocean color; Remote sensing; Scanner; Satellite; Environmental science; Chlorophyll a; Atmospheric correction; Chlorophyll; Computer science; Meteorology; Geography; Artificial intelligence; Engineering; Chemistry","score_opus":0.025914202310092067,"score_gpt":0.22945123386952454,"score_spread":0.20353703155943248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2370165916","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":[0.8759378,0.0017024161,0.117959,0.00022644254,0.000064694366,0.00003656051,0.00008542067,0.00013785744,0.003849795],"genre_scores_gemma":[0.93188643,0.0017000716,0.063347235,0.00015242417,0.00008016187,0.000028851644,0.0002907509,0.000043782766,0.0024701408],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99935645,0.00016677864,0.000024137786,0.00013336758,0.0002848946,0.00003441147],"domain_scores_gemma":[0.9988887,0.00051958405,0.00006488247,0.00010293079,0.00037529436,0.00004856471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082863687,0.00025568836,0.0002518424,0.0005373796,0.00024640898,0.0003599514,0.00026077626,0.00047998258,0.00056135195],"category_scores_gemma":[0.0011561898,0.00019554918,0.0002159515,0.0006497233,0.0002883141,0.0008128065,0.00019004583,0.00023578688,0.00014851186],"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":[0.00040490902,0.00015872382,0.10319236,0.0007347768,0.000115655,0.0007916009,0.0008307124,0.0055222684,0.64899176,0.004483123,0.0010128027,0.23376119],"study_design_scores_gemma":[0.00007467988,0.0020636548,0.16263515,0.00009944331,0.00029378137,0.004499313,0.0012440418,0.11866763,0.6854307,0.0025574935,0.022300612,0.00013349643],"about_ca_topic_score_codex":0.0011752056,"about_ca_topic_score_gemma":0.0011661707,"teacher_disagreement_score":0.0011752056,"about_ca_system_score_codex":0.0002762353,"about_ca_system_score_gemma":0.00029454712,"threshold_uncertainty_score":0.0043823123},"labels":[],"label_agreement":null},{"id":"W2370295113","doi":"","title":"The spatio-temporal evolution characteristics of landscape fragmentation for Xining City in recent 15 years","year":2014,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Fragmentation (computing); Arable land; Woodland; Geography; Land use; Physical geography; Cultivated land; Land use, land-use change and forestry; Remote sensing; Grassland; Land cover; Forestry; Ecology; Archaeology; Biology","score_opus":0.016710801686977403,"score_gpt":0.2276066617884357,"score_spread":0.21089586010145828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2370295113","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":[0.9992847,0.00008359485,0.000044398243,0.00001547804,0.0000010604703,0.000003097226,0.0003020114,0.000002998012,0.0002627173],"genre_scores_gemma":[0.99882287,0.00009763449,0.00007067599,0.0000038493595,0.000002249611,0.000006416801,0.0006060639,8.707533e-7,0.00038928815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998729,0.000008585718,0.000016004175,0.000043483033,0.000022568123,0.000036540336],"domain_scores_gemma":[0.99978405,0.000017388375,0.000118791606,0.000012574342,0.00002789761,0.000039291994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001867293,0.00018022842,0.00012140184,0.0011683996,0.00032515547,0.00039484975,0.0001890994,0.00016291013,0.0010080396],"category_scores_gemma":[0.00030381483,0.00014606146,0.00020764854,0.0014927726,0.00020252819,0.00032504636,0.00037562082,0.00013108642,0.00008190425],"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":[0.000040401206,0.000012196076,0.9921457,0.000022146372,0.000028521652,0.0001579034,0.0006425346,0.00037081144,0.00049920403,0.00007189659,0.00016167773,0.0058468743],"study_design_scores_gemma":[4.805247e-7,0.00000864057,0.9992206,0.0000026048813,0.0000056259696,0.000039379956,0.00024119791,0.00025030505,0.000034021377,0.00000786339,0.00018732007,0.0000018463008],"about_ca_topic_score_codex":0.029831462,"about_ca_topic_score_gemma":0.071970925,"teacher_disagreement_score":0.029831462,"about_ca_system_score_codex":0.00071670895,"about_ca_system_score_gemma":0.00026495277,"threshold_uncertainty_score":0.05931568},"labels":[],"label_agreement":null},{"id":"W2371132212","doi":"","title":"Building Extraction Using High Resolution Multi-spectral Image and LiDAR Data","year":2011,"lang":"en","type":"article","venue":"Yingyong jichu yu gongcheng kexue xuebao","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Western University","funders":"","keywords":"Lidar; Computer science; Computer vision; Remote sensing; Artificial intelligence; Segmentation; Object (grammar); Regularization (linguistics); Image resolution; Image segmentation; Image (mathematics); Geography","score_opus":0.10023611729405837,"score_gpt":0.28350310712798626,"score_spread":0.1832669898339279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371132212","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":[0.19239917,0.00023236932,0.8014657,0.00006769102,0.000038291888,0.00015435308,0.00046059664,0.001327639,0.0038541479],"genre_scores_gemma":[0.4642984,0.00021123035,0.5327949,0.00003132581,0.000012454488,0.000080816644,0.0007666748,0.00010403559,0.0017002271],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997545,0.000033110817,0.000012669206,0.0000511101,0.00010982707,0.00003879858],"domain_scores_gemma":[0.9998661,0.000024740348,0.000015651709,0.0000265412,0.000056534842,0.000010409447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491872,0.00058977905,0.0004948515,0.0024643405,0.00031722407,0.0006582826,0.00033454577,0.0003915911,0.0010960115],"category_scores_gemma":[0.00043770747,0.00035449467,0.0008068963,0.0014705706,0.00022990751,0.0008231873,0.00039247834,0.0003406498,0.00075568137],"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":[0.00020389214,0.00015913717,0.008375868,0.000360287,0.00011958502,0.00032450203,0.0002468813,0.033896253,0.42479968,0.003134465,0.0008473829,0.52753204],"study_design_scores_gemma":[0.000060411374,0.00020328778,0.07675423,0.000056665187,0.00025998408,0.0006728815,0.0004837228,0.4619021,0.4420905,0.004487935,0.012863215,0.0001650859],"about_ca_topic_score_codex":0.0027534908,"about_ca_topic_score_gemma":0.0037747372,"teacher_disagreement_score":0.0027534908,"about_ca_system_score_codex":0.00019966096,"about_ca_system_score_gemma":0.00051214,"threshold_uncertainty_score":0.005474925},"labels":[],"label_agreement":null},{"id":"W2371401399","doi":"","title":"Smart Quarter Development and Technology Analysis","year":2005,"lang":"en","type":"article","venue":"Automation and Instrumentation","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Service (business); Engineering; Software; Mode (computer interface); Transfer (computing); Embedded system; Computer science; Operating system","score_opus":0.006801948761732482,"score_gpt":0.20638435697424143,"score_spread":0.19958240821250894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371401399","genre_codex":"other","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":[0.18537214,0.002585764,0.20580651,0.0044215294,0.00031252106,0.00028452981,0.0008144693,0.0010436642,0.59935886],"genre_scores_gemma":[0.77241975,0.003354945,0.059683915,0.00054041884,0.00009183441,0.00017760898,0.0012858249,0.00023730154,0.16220842],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986187,0.00017605822,0.00007130954,0.00020776487,0.00072262256,0.00020352515],"domain_scores_gemma":[0.9991528,0.000079961406,0.00007376182,0.00011971709,0.00050567486,0.000068061076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000872321,0.00033037912,0.00018857275,0.0027987808,0.0010396868,0.003610938,0.0006772523,0.00062158593,0.009892266],"category_scores_gemma":[0.0016767812,0.00025132284,0.00043278388,0.0027618913,0.0009269724,0.0040606814,0.0014101416,0.00075738464,0.0022377379],"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":[0.00010530337,0.00006559194,0.012620021,0.00019779021,0.000017272434,0.00034247042,0.001104112,0.0090863975,0.0058795875,0.68112546,0.0128422715,0.27661365],"study_design_scores_gemma":[0.000027196089,0.00024974524,0.030135054,0.00012925843,0.000038151225,0.00086581905,0.0037336168,0.047197677,0.028290996,0.20491806,0.6843379,0.00007649119],"about_ca_topic_score_codex":0.005461548,"about_ca_topic_score_gemma":0.0038197322,"teacher_disagreement_score":0.009892266,"about_ca_system_score_codex":0.003976436,"about_ca_system_score_gemma":0.003714751,"threshold_uncertainty_score":0.033092916},"labels":[],"label_agreement":null},{"id":"W2371842498","doi":"","title":"Study on the Barrier Zones Division of Three Gorges Reservoir Area Based on Remote Sensing","year":2012,"lang":"en","type":"article","venue":"Ground Water","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Three gorges; Ridge; Remote sensing; Natural (archaeology); Environmental science; Division (mathematics); Hydrology (agriculture); Geography; Geology; Cartography; Geotechnical engineering","score_opus":0.05313006008827941,"score_gpt":0.23678194764295482,"score_spread":0.1836518875546754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371842498","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":[0.9992957,0.000037762376,0.00020925916,0.000016516711,0.0000013282738,0.0000052842865,0.000057204565,0.0000051260063,0.00037181785],"genre_scores_gemma":[0.99946564,0.000028978344,0.00023042763,0.0000034853942,0.000001621448,0.0000051842558,0.00011040224,0.0000013900109,0.00015279553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998778,0.000024632502,0.000006753555,0.00002574018,0.000024229921,0.000040765837],"domain_scores_gemma":[0.9998568,0.000025271465,0.000037914753,0.000010947078,0.000027860451,0.000041144853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014993259,0.00014311037,0.00014614532,0.0009365563,0.00038416736,0.00039182766,0.0001892031,0.00012921961,0.00082631665],"category_scores_gemma":[0.00031883072,0.0001229689,0.0001703397,0.0008534372,0.00022966912,0.00036446116,0.00033845683,0.000116332594,0.00006652898],"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":[0.0001380879,0.000086913715,0.9624006,0.000092004884,0.0000778358,0.0012422999,0.003141203,0.0011544141,0.0074594035,0.000934825,0.0006834856,0.022588897],"study_design_scores_gemma":[0.000003828636,0.00003641639,0.99297124,0.000008621501,0.00002165664,0.00027661977,0.0021349057,0.0030232342,0.00034871406,0.00009292867,0.0010746103,0.000007293731],"about_ca_topic_score_codex":0.01308781,"about_ca_topic_score_gemma":0.030891504,"teacher_disagreement_score":0.01308781,"about_ca_system_score_codex":0.00026411368,"about_ca_system_score_gemma":0.00031018496,"threshold_uncertainty_score":0.026023269},"labels":[],"label_agreement":null},{"id":"W2372157960","doi":"","title":"Review of Overseas Crop Monitoring Systems with Remote Sensing","year":2010,"lang":"en","type":"article","venue":"Diqiu kexue jinzhan","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":9,"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":"Agriculture; Remote sensing; Food security; Crop; Agricultural productivity; Environmental science; Agricultural engineering; Estimation; Business; Geography; Engineering","score_opus":0.014481348122659755,"score_gpt":0.22750081989906196,"score_spread":0.2130194717764022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372157960","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":[0.0012022073,0.98451024,0.0039704125,0.00084986095,0.0012402469,0.000050323863,0.00027736046,0.00006663485,0.007832733],"genre_scores_gemma":[0.0069894292,0.9853152,0.0031934332,0.00057802914,0.0006251911,0.0000310167,0.0005000217,0.000024090934,0.0027435785],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993087,0.00011795839,0.00012927476,0.0001386146,0.00027187864,0.00003356739],"domain_scores_gemma":[0.99776757,0.00083275244,0.00021768792,0.00009818152,0.0010128774,0.00007096963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013363232,0.0006706211,0.0006891083,0.0041101244,0.00029974148,0.0010374695,0.0010567477,0.0006688269,0.0042382875],"category_scores_gemma":[0.0023600322,0.00032829714,0.00084100716,0.005656402,0.00029530068,0.0018721279,0.00050137547,0.0005462437,0.0016581315],"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":[0.00004895442,0.00003376304,0.00094931934,0.01752648,0.000103661914,0.00017384607,0.000106747975,0.00070126646,0.0020487197,0.0020641887,0.027346151,0.9488969],"study_design_scores_gemma":[0.0000051970296,0.00008265486,0.0046981312,0.0042650364,0.00021228749,0.0006813146,0.00011368112,0.00046856806,0.0013479884,0.0006916819,0.98740005,0.000033340908],"about_ca_topic_score_codex":0.003912515,"about_ca_topic_score_gemma":0.0040032105,"teacher_disagreement_score":0.0042382875,"about_ca_system_score_codex":0.0005652132,"about_ca_system_score_gemma":0.0018187991,"threshold_uncertainty_score":0.014178455},"labels":[],"label_agreement":null},{"id":"W2372350192","doi":"","title":"Urban sprawl and its intrinsic characteristics of cantonal Suzhou from 1984 to 2003.","year":2006,"lang":"en","type":"article","venue":"","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":"CAE (Canada)","funders":"","keywords":"Urban sprawl; Urbanization; Geography; China; Per capita; Industrialisation; Urban climate; Land use; Consumption (sociology); Agricultural economics; Socioeconomics; Economic growth; Population; Political science; Archaeology; Demography; Ecology; Economics","score_opus":0.007184518610119778,"score_gpt":0.17897022251834896,"score_spread":0.17178570390822917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372350192","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":[0.99875665,0.00006475226,0.000026824135,0.000031707634,0.0000028853403,0.0000044634853,0.0007263953,0.0000034351494,0.00038293842],"genre_scores_gemma":[0.99817276,0.000050093047,0.000049670336,0.0000051069865,0.000003487947,0.000008002644,0.0012810447,0.0000011005235,0.00042881662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999083,0.000011135664,0.000008068484,0.00001871622,0.000025295842,0.0000283983],"domain_scores_gemma":[0.9996263,0.00002410887,0.00014721224,0.000017698612,0.000111544636,0.00007313714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018822265,0.00019610485,0.000093417504,0.0011644701,0.0004383474,0.00035434752,0.00023005815,0.00016405385,0.0007884278],"category_scores_gemma":[0.00039666388,0.00011256905,0.00015208768,0.0013974706,0.0002023182,0.00021288593,0.00034913924,0.00015721185,0.00013648863],"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":[0.00010853117,0.000016498167,0.9939361,0.0000131291345,0.000020432075,0.00014145025,0.0008131218,0.000109204884,0.0006935559,0.000034949644,0.00048884103,0.0036241408],"study_design_scores_gemma":[3.915924e-7,0.000007051377,0.99940884,7.5915864e-7,0.0000024738404,0.000016982,0.0002260491,0.00006989597,0.000042591888,0.0000021912897,0.00022158983,0.0000011685217],"about_ca_topic_score_codex":0.19328788,"about_ca_topic_score_gemma":0.4787193,"teacher_disagreement_score":0.19328788,"about_ca_system_score_codex":0.0016348065,"about_ca_system_score_gemma":0.00071128015,"threshold_uncertainty_score":0.38432562},"labels":[],"label_agreement":null},{"id":"W2372461605","doi":"","title":"Landscape Plants Evaluation on Residential Quarter of Qingdao in Summer","year":2011,"lang":"en","type":"article","venue":"Northern Horticulture","topic":"Remote Sensing and Land Use","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":"Geography; Plant species; Quarter (Canadian coin); Landscape design; Ecology; Forestry; Environmental resource management; Environmental science; Archaeology; Biology","score_opus":0.03419114696945792,"score_gpt":0.23335408829056228,"score_spread":0.19916294132110435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372461605","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":[0.9987789,0.000015909536,0.00014711692,0.000007344931,0.0000013114919,0.000005490784,0.00011770015,0.0000045567153,0.0009217191],"genre_scores_gemma":[0.9990675,0.00001657229,0.0002317482,0.000003138431,8.321361e-7,0.0000042856536,0.00015680584,0.0000015064604,0.0005177434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999317,0.000016032704,0.000003656868,0.000016476126,0.000014267753,0.000017751781],"domain_scores_gemma":[0.9998765,0.00001875504,0.000019631245,0.0000062408767,0.000049283008,0.000029600234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018761077,0.00015195766,0.00010755696,0.0005438998,0.00045789848,0.00020840883,0.00008015768,0.00008828036,0.0013802495],"category_scores_gemma":[0.0002065349,0.00006214797,0.00011460964,0.00055500783,0.00014993745,0.00016944339,0.00014673152,0.00008615168,0.000058794154],"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":[0.00045032823,0.00018314041,0.8796817,0.00017342957,0.000055783818,0.0007224348,0.011081312,0.0027504498,0.03790219,0.0005664323,0.001533065,0.06489976],"study_design_scores_gemma":[0.0000017765777,0.00004906564,0.99579203,0.0000031629088,0.0000069538587,0.000025942914,0.0020210734,0.0009625789,0.000617214,0.000041535608,0.0004744158,0.0000041394055],"about_ca_topic_score_codex":0.022238545,"about_ca_topic_score_gemma":0.106415704,"teacher_disagreement_score":0.022238545,"about_ca_system_score_codex":0.00050553994,"about_ca_system_score_gemma":0.00015755641,"threshold_uncertainty_score":0.044218242},"labels":[],"label_agreement":null},{"id":"W2372736859","doi":"","title":"Spatiotemporal Change of Drought over the Songliao Plain Based on TVDI","year":2014,"lang":"en","type":"article","venue":"Arid Zone Research","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Environmental science; Arid; Woodland; Vegetation (pathology); Irrigation; Agriculture; Land use; Moderate-resolution imaging spectroradiometer; Physical geography; Water resource management; Geography; Hydrology (agriculture); Ecology; Geology","score_opus":0.08621174606273203,"score_gpt":0.31153305686150057,"score_spread":0.22532131079876855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372736859","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":[0.9977754,0.00008669664,0.0003021373,0.000029744957,0.0000055969335,0.000007855486,0.00091644557,0.000020785417,0.00085532333],"genre_scores_gemma":[0.99872845,0.000039775758,0.00021508991,0.0000072223406,0.000005214355,0.000007792815,0.0008316289,0.0000020735101,0.00016261624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989974,0.00000907189,0.000012971792,0.00003291607,0.0000219569,0.000023284028],"domain_scores_gemma":[0.9997913,0.000025531497,0.000065934095,0.000010803429,0.00005304536,0.000053414107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020967466,0.00015613607,0.0002015123,0.0011601372,0.00021029032,0.000436125,0.00018079006,0.0001454932,0.0006459915],"category_scores_gemma":[0.00043268796,0.000078885634,0.00020198438,0.0014080516,0.00015744468,0.00030027836,0.0003275559,0.00014362985,0.00006788804],"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":[0.00010975148,0.000033011183,0.9726449,0.00009128181,0.000089828565,0.00042696818,0.0007690039,0.0016028412,0.008049037,0.00022862047,0.00080660195,0.0151481535],"study_design_scores_gemma":[0.000003065049,0.000011299179,0.9961993,0.0000053341487,0.000016452348,0.00005204254,0.00026050222,0.0027444442,0.00019069422,0.000027094622,0.00048320787,0.000006462155],"about_ca_topic_score_codex":0.015166996,"about_ca_topic_score_gemma":0.018499093,"teacher_disagreement_score":0.015166996,"about_ca_system_score_codex":0.00034206282,"about_ca_system_score_gemma":0.00019050394,"threshold_uncertainty_score":0.030157447},"labels":[],"label_agreement":null},{"id":"W2372869722","doi":"","title":"LUCC,ET and VC study on Ejina natural oasis over 25 years","year":2014,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Land cover; Grassland; Remote sensing; Vegetation (pathology); Shrub; Land use; Environmental science; Spatial distribution; Physical geography; Inversion (geology); Evapotranspiration; Hydrology (agriculture); Geography; Geology; Geomorphology; Ecology","score_opus":0.011104744262784622,"score_gpt":0.22915622877528144,"score_spread":0.2180514845124968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372869722","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":[0.99913126,0.000063759755,0.000038526177,0.000008262681,0.0000015473205,0.000004332195,0.00043641104,0.0000029160888,0.00031294377],"genre_scores_gemma":[0.9983051,0.000056679444,0.00007495177,0.000007126494,0.0000051882703,0.0000051855795,0.0010917333,0.0000013298327,0.00045265182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998903,0.00000943153,0.000010771433,0.00003290471,0.000028547676,0.000027970402],"domain_scores_gemma":[0.99985564,0.000011263928,0.000047107424,0.000012430421,0.00004604827,0.000027569782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002525202,0.00022461887,0.00018281807,0.0009712771,0.00031269543,0.00039657461,0.00017826688,0.00012628152,0.0006056845],"category_scores_gemma":[0.00018678789,0.00009427399,0.0001762339,0.0013046166,0.00023507708,0.0002275965,0.0002047055,0.0001314726,0.000111671725],"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":[0.00006673397,0.00007008656,0.9905353,0.000024261517,0.000046858466,0.0006104463,0.00034206672,0.00049352495,0.0016551191,0.00009580118,0.0002323855,0.0058272914],"study_design_scores_gemma":[0.0000016812278,0.000016546712,0.99870014,0.000001722634,0.0000074415766,0.000058115813,0.00020402973,0.00049809646,0.00009168371,0.000009414735,0.00040867907,0.0000022832949],"about_ca_topic_score_codex":0.06783665,"about_ca_topic_score_gemma":0.13166367,"teacher_disagreement_score":0.06783665,"about_ca_system_score_codex":0.00097237295,"about_ca_system_score_gemma":0.0003924155,"threshold_uncertainty_score":0.13488358},"labels":[],"label_agreement":null},{"id":"W2372965849","doi":"","title":"The Extraction and Analysis of Landform Characters Based on High-resolution DEM","year":2012,"lang":"en","type":"article","venue":"Geomatics & Spatial Information Technology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Innovation Initiatives Ontario North","funders":"","keywords":"Landform; Terrain; Character (mathematics); Geography; Extraction (chemistry); Base (topology); Digital elevation model; Remote sensing; Geology; Computer science; Cartography; Mathematics; Geometry","score_opus":0.005966474760440136,"score_gpt":0.2015674071888404,"score_spread":0.19560093242840026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372965849","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":[0.21587616,0.0003724982,0.7626338,0.00021708883,0.000077365636,0.0003097015,0.0055130767,0.0028119236,0.012188391],"genre_scores_gemma":[0.59537387,0.0005328095,0.39372256,0.000051308176,0.00003100185,0.00014984033,0.006253084,0.000111773195,0.0037736844],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997987,0.000023928802,0.000017591587,0.000029137558,0.00010403083,0.000026498896],"domain_scores_gemma":[0.99977535,0.00002692306,0.000023318436,0.00004090644,0.00011994476,0.000013598269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021142344,0.00040250272,0.00025507572,0.0030065803,0.00024696995,0.000588138,0.00023317231,0.00024612815,0.0014918034],"category_scores_gemma":[0.00066667754,0.00019168353,0.00033861768,0.0028434168,0.00016471499,0.0008095479,0.00038037138,0.00021718546,0.000793351],"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":[0.00012537048,0.000097556454,0.02742541,0.00042442433,0.00007087656,0.0007982789,0.00032176948,0.040313784,0.12361219,0.004730506,0.0060665114,0.79601324],"study_design_scores_gemma":[0.000027889046,0.00010050907,0.1973401,0.00009320628,0.000110914814,0.0014454786,0.0009935851,0.6779616,0.09022248,0.004341929,0.027232395,0.00012987453],"about_ca_topic_score_codex":0.003977263,"about_ca_topic_score_gemma":0.0050612423,"teacher_disagreement_score":0.003977263,"about_ca_system_score_codex":0.00021392446,"about_ca_system_score_gemma":0.00032579998,"threshold_uncertainty_score":0.007908225},"labels":[],"label_agreement":null},{"id":"W2373067246","doi":"","title":"Facial Texture Mapping Based on Triangulation","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Delaunay triangulation; Computer science; Triangulation; Texture mapping; Artificial intelligence; Projective texture mapping; Texture (cosmology); Computer vision; Face (sociological concept); Bowyer–Watson algorithm; Feature (linguistics); Pattern recognition (psychology); Image texture; Algorithm; Image (mathematics); Mathematics; Image processing; Geometry","score_opus":0.012118182048943962,"score_gpt":0.21780643916813486,"score_spread":0.2056882571191909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373067246","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005457724,0.00007344968,0.9915194,0.000040322557,0.00004396832,0.00003499271,0.00003682699,0.00041335647,0.002379898],"genre_scores_gemma":[0.20432284,0.00035387033,0.79113233,0.0000422954,0.000056101064,0.00012677415,0.00027225984,0.00027387615,0.0034196079],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923193,0.00010492851,0.000026449015,0.0001750271,0.00039171902,0.00006992093],"domain_scores_gemma":[0.9996055,0.00011300221,0.0000310393,0.00010090453,0.00012578601,0.000023822226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037014252,0.0006893438,0.00066517945,0.0014055182,0.00068126264,0.001048756,0.00085264706,0.000467163,0.004105718],"category_scores_gemma":[0.0020517313,0.00038558544,0.00095945573,0.00094630354,0.0007080737,0.0010961086,0.0013621607,0.00071716675,0.0011705679],"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":[0.00016902719,0.0000282535,0.0013507532,0.00020192299,0.00005310481,0.00021794844,0.0005055854,0.0977935,0.05805449,0.031094687,0.0038666527,0.8066641],"study_design_scores_gemma":[0.000043697444,0.00011514259,0.0021622442,0.000050727154,0.00004452459,0.00091092876,0.0003330241,0.90683997,0.03660964,0.026506986,0.02628737,0.00009572128],"about_ca_topic_score_codex":0.0053399624,"about_ca_topic_score_gemma":0.002961515,"teacher_disagreement_score":0.0053399624,"about_ca_system_score_codex":0.0004781703,"about_ca_system_score_gemma":0.00064704084,"threshold_uncertainty_score":0.013734996},"labels":[],"label_agreement":null},{"id":"W2373235700","doi":"","title":"Spatial Outlier Detection Based on Delaunay Triangulation","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Delaunay triangulation; Outlier; Computer science; Data mining; Spatial analysis; A priori and a posteriori; Artificial intelligence; Pattern recognition (psychology); Algorithm; Mathematics; Statistics","score_opus":0.011926251023620053,"score_gpt":0.1930393350760536,"score_spread":0.18111308405243354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373235700","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008347318,0.00008360214,0.9907658,0.000047572783,0.000014747301,0.000029037757,0.000053777472,0.0003447435,0.0003134879],"genre_scores_gemma":[0.19096154,0.00023382824,0.80746496,0.000027454902,0.000028858227,0.00011094661,0.0003880639,0.000079930054,0.00070439215],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972103,0.0005688029,0.00019188905,0.0006542159,0.0012109836,0.00016384646],"domain_scores_gemma":[0.9974311,0.0008495823,0.0003925659,0.00033794728,0.0009099662,0.00007873738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010649449,0.00071565347,0.0012735103,0.0030328454,0.0008025297,0.0011626696,0.0015529505,0.00081666646,0.000879592],"category_scores_gemma":[0.0071160025,0.00047884104,0.0009989591,0.002965512,0.00084785774,0.0016400504,0.001924124,0.0007178423,0.000472546],"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":[0.00030365217,0.00007284476,0.012109574,0.000321653,0.00021783153,0.00055883056,0.0006575418,0.3647752,0.025038576,0.02374114,0.004472881,0.5677303],"study_design_scores_gemma":[0.000012103952,0.000037075486,0.001140151,0.000013069458,0.000015506635,0.00024409012,0.00014790618,0.98118883,0.006548876,0.0076165353,0.0030031286,0.00003276856],"about_ca_topic_score_codex":0.0067911637,"about_ca_topic_score_gemma":0.0049048634,"teacher_disagreement_score":0.0067911637,"about_ca_system_score_codex":0.00061422365,"about_ca_system_score_gemma":0.0009469024,"threshold_uncertainty_score":0.013503313},"labels":[],"label_agreement":null},{"id":"W2373908604","doi":"","title":"Ground photography verification of remote sensing-derived vegetation phenology in the Xilinguole grassland","year":2015,"lang":"en","type":"article","venue":"Caoye kexue","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Remote sensing; Normalized Difference Vegetation Index; Phenology; Grassland; Environmental science; Vegetation (pathology); Photography; Enhanced vegetation index; Vegetation Index; Growing season; Physical geography; Geography; Leaf area index; Ecology","score_opus":0.03307234310551707,"score_gpt":0.23414394068493716,"score_spread":0.20107159757942009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373908604","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":[0.99927455,0.000048917605,0.000263633,0.0000041944186,0.0000025732193,0.0000044052936,0.00016791592,0.000008131681,0.00022567366],"genre_scores_gemma":[0.9986337,0.000025609388,0.0007133476,0.000004338962,0.0000018990262,0.0000066560674,0.00046949968,0.0000017904673,0.0001431362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983454,0.00003986757,0.000011690357,0.000059938502,0.000027812071,0.00002615749],"domain_scores_gemma":[0.9996414,0.00006408817,0.000089428315,0.000044194046,0.00012050031,0.000040483945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046600887,0.00015873184,0.00014560188,0.000640566,0.00018357651,0.00027659794,0.0001488954,0.00013601131,0.00033410176],"category_scores_gemma":[0.0005068898,0.00010881719,0.00012315478,0.00048582058,0.00011651044,0.00019164718,0.00017656577,0.00008268673,0.00006649542],"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":[0.00012089879,0.00004387375,0.95921266,0.000065951805,0.00006612714,0.00011911357,0.00046038578,0.0012933337,0.017373336,0.00006449694,0.0002551699,0.020924665],"study_design_scores_gemma":[0.000003827219,0.000016301965,0.997077,0.0000040102223,0.000010396548,0.000017691702,0.00013150412,0.0019897749,0.0005492014,0.000005181641,0.00019320102,0.0000020783557],"about_ca_topic_score_codex":0.027772792,"about_ca_topic_score_gemma":0.069718696,"teacher_disagreement_score":0.027772792,"about_ca_system_score_codex":0.00036135796,"about_ca_system_score_gemma":0.00029565676,"threshold_uncertainty_score":0.055222273},"labels":[],"label_agreement":null},{"id":"W2373937838","doi":"","title":"Detecting Seed Purity Quickly by InDel Molecular of Cucumber Jinyou-38","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Indel; Pyrosequencing; Biology; INDEL Mutation; Genetics; Computational biology; Gene; Genotype","score_opus":0.014961130355036127,"score_gpt":0.19241623095388524,"score_spread":0.1774551005988491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373937838","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":[0.98442703,0.00023047655,0.014065148,0.000029702675,0.000008586868,0.00004254468,0.0005337765,0.00013352513,0.00052929006],"genre_scores_gemma":[0.95244503,0.00023790184,0.041867606,0.00006198853,0.000005746859,0.00008952086,0.00241685,0.00015595825,0.002719383],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956363,0.000042182095,0.000038123104,0.00015868714,0.00015735047,0.000039923307],"domain_scores_gemma":[0.999373,0.00016656777,0.00012108406,0.00008692179,0.00019023253,0.00006222633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052661006,0.00034142798,0.00033281936,0.0005075483,0.0002920559,0.00035370758,0.00024672376,0.0002472602,0.00066923467],"category_scores_gemma":[0.0009136747,0.0003044205,0.00024120633,0.00031180918,0.00030195375,0.00026020926,0.00029619902,0.00044890767,0.00032247955],"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":[0.00005009922,0.000007266139,0.002987735,0.000013870574,0.000005552408,0.000027579512,0.000054377782,0.000033591812,0.9953526,0.000016430373,0.000014789458,0.001436061],"study_design_scores_gemma":[0.000015118452,0.00027547718,0.1240151,0.00000691131,0.00007156276,0.000381937,0.00011504896,0.0019582605,0.871201,0.00007260117,0.0018591244,0.000027826165],"about_ca_topic_score_codex":0.0029497927,"about_ca_topic_score_gemma":0.0071246056,"teacher_disagreement_score":0.0029497927,"about_ca_system_score_codex":0.00030663368,"about_ca_system_score_gemma":0.00017607148,"threshold_uncertainty_score":0.005865276},"labels":[],"label_agreement":null},{"id":"W2374841388","doi":"","title":"Research on the Landscape Utilization and Renovation of Industrial Wasteland in Panzhihua Steel-casting Factory","year":2012,"lang":"en","type":"article","venue":"Anhui nongye kexue","topic":"Remote Sensing and Land Use","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":"Factory (object-oriented programming); Casting; Landscape design; Architectural engineering; Natural (archaeology); Vegetation (pathology); Quarter (Canadian coin); Civil engineering; Environmental science; Engineering; Computer science; Geography; Archaeology; Materials science; Metallurgy","score_opus":0.29426346547524157,"score_gpt":0.3282190592918577,"score_spread":0.033955593816616114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2374841388","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":[0.99895227,0.00007435073,0.0003268292,0.000012193065,7.214138e-7,0.0000053963195,0.000014445555,0.0000020460623,0.0006117295],"genre_scores_gemma":[0.998857,0.000091479655,0.00061979843,0.000003157067,7.398893e-7,0.0000031549032,0.000027717473,0.0000010221997,0.00039595945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999027,0.00001916414,0.000005277612,0.000030480185,0.000017991115,0.000024368408],"domain_scores_gemma":[0.99995184,0.000007480187,0.000012660968,0.0000054630214,0.000013137893,0.000009496645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001675896,0.00014890349,0.00019418797,0.000967303,0.0006260077,0.00037189192,0.00024468894,0.00016933339,0.00038794553],"category_scores_gemma":[0.00010664303,0.00014283622,0.00019270426,0.0012917104,0.0003246642,0.00037784138,0.00030515308,0.00010777029,0.000027207738],"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":[0.00019811667,0.0001871639,0.7580693,0.00042518086,0.00007556273,0.0031535877,0.013962011,0.006559954,0.088778265,0.002385616,0.00028167994,0.12592363],"study_design_scores_gemma":[0.0000030090862,0.00010487705,0.9857383,0.000015660939,0.000028184637,0.0003245621,0.0064917626,0.002275268,0.0027967733,0.00021044305,0.0019976909,0.000013497664],"about_ca_topic_score_codex":0.011573817,"about_ca_topic_score_gemma":0.051593456,"teacher_disagreement_score":0.011573817,"about_ca_system_score_codex":0.00046434582,"about_ca_system_score_gemma":0.0004608545,"threshold_uncertainty_score":0.023012936},"labels":[],"label_agreement":null},{"id":"W2375499993","doi":"","title":"Principal Component Analysis and Cluster Analysis of Quality Traits in Ningxia Rice","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Principal component analysis; Cluster (spacecraft); Correlation; Statistics; Quality (philosophy); Mathematics; Computer science","score_opus":0.018768197060446103,"score_gpt":0.2555368811597304,"score_spread":0.23676868409928428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2375499993","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":[0.98229074,0.00014768417,0.015586675,0.00006208075,0.000018221948,0.00009162113,0.0005384893,0.00006649502,0.0011979657],"genre_scores_gemma":[0.98280185,0.00008833535,0.015055684,0.000008031202,0.000008118141,0.00008944995,0.0010066533,0.000020118036,0.00092182175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936,0.00018206265,0.000042552907,0.00014846206,0.00017403699,0.0000928756],"domain_scores_gemma":[0.9993043,0.00014997441,0.00009633447,0.00007093266,0.00032106438,0.00005742977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013750592,0.0003884181,0.00030387536,0.0016091418,0.00042798035,0.0005053643,0.00016866931,0.00012952136,0.00069912063],"category_scores_gemma":[0.0020254885,0.0001382566,0.00058653165,0.0016693136,0.00034060012,0.00021130734,0.0002789789,0.00022677683,0.0001605971],"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":[0.0024392267,0.00024202713,0.5745016,0.00046520488,0.000645062,0.00049973157,0.0049291295,0.0186765,0.12862098,0.0029786087,0.0029306922,0.26307124],"study_design_scores_gemma":[0.000024625411,0.00013030283,0.9713874,0.000016940023,0.00009465153,0.00012719749,0.00064471253,0.021009605,0.0041730898,0.00064213685,0.0017030338,0.000046211102],"about_ca_topic_score_codex":0.015484955,"about_ca_topic_score_gemma":0.010561392,"teacher_disagreement_score":0.015484955,"about_ca_system_score_codex":0.0006465076,"about_ca_system_score_gemma":0.0009070319,"threshold_uncertainty_score":0.030789673},"labels":[],"label_agreement":null},{"id":"W2375663510","doi":"","title":"The Application of Allometric Relationships in Biomass Estimation in Terrestrial Ecosystems","year":2007,"lang":"en","type":"article","venue":"World Sci-tech R & D","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Biomass (ecology); Allometry; Estimation; Environmental science; Terrestrial ecosystem; Tree allometry; Ecosystem; Ecology; Climate change; Biology; Economics; Biomass partitioning","score_opus":0.023665690833084476,"score_gpt":0.258134983895801,"score_spread":0.2344692930627165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2375663510","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":[0.015945174,0.0028108114,0.979042,0.00027647807,0.000106329535,0.000038611724,0.00019824057,0.0002248338,0.0013574933],"genre_scores_gemma":[0.31042662,0.005494834,0.680487,0.00024356532,0.0004696228,0.00020558684,0.0007917025,0.0002894791,0.0015915622],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9957788,0.0021021,0.0002363611,0.0010070045,0.0007571241,0.00011858003],"domain_scores_gemma":[0.9927492,0.0046688565,0.0007096113,0.0008120424,0.0009539497,0.00010631827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073295413,0.001273463,0.0010871321,0.0037286654,0.0007840519,0.0014649204,0.0015764334,0.0012623371,0.0012707671],"category_scores_gemma":[0.021633431,0.0005604327,0.0015035865,0.007883018,0.0014456634,0.003628711,0.0015615849,0.00224956,0.00070140127],"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":[0.00008233219,0.000116604795,0.047788195,0.00056329905,0.0004615813,0.00022867961,0.0005866443,0.21942365,0.010285814,0.07055905,0.003058369,0.6468458],"study_design_scores_gemma":[0.000010002864,0.000089665155,0.023513574,0.00007751381,0.000121537545,0.00033679293,0.0001354708,0.87027216,0.0047152643,0.091087095,0.009496154,0.00014482107],"about_ca_topic_score_codex":0.0030942261,"about_ca_topic_score_gemma":0.0021618311,"teacher_disagreement_score":0.0073295413,"about_ca_system_score_codex":0.00081100373,"about_ca_system_score_gemma":0.0005943136,"threshold_uncertainty_score":0.03876275},"labels":[],"label_agreement":null},{"id":"W2375905790","doi":"","title":"Outdoor space design in residential quarter","year":2007,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Remote Sensing and Land Use","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":"Space (punctuation); Architectural engineering; Quarter (Canadian coin); Component (thermodynamics); Environmental psychology; Settlement (finance); Geography; Domain (mathematical analysis); Computer science; Engineering; Psychology; Mathematics; Archaeology; Social psychology","score_opus":0.01091060031925779,"score_gpt":0.21638954875733105,"score_spread":0.20547894843807327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2375905790","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":[0.5484974,0.0023123948,0.13593411,0.0005003585,0.00020737168,0.00007776056,0.0002899329,0.00041101297,0.31176966],"genre_scores_gemma":[0.9522013,0.0003731995,0.019414578,0.00002145895,0.00001741279,0.000026201595,0.00009130927,0.000042087973,0.027812552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998271,0.000067398716,0.0000098565,0.00003318976,0.000032713742,0.000029807656],"domain_scores_gemma":[0.99993575,0.00001131727,0.000008428966,0.000011902708,0.000021410271,0.000011060358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012094072,0.00015958976,0.00011562823,0.00047814456,0.00054487557,0.0010983063,0.00023447024,0.0001980499,0.006646409],"category_scores_gemma":[0.00025520782,0.00011538613,0.00018880719,0.0005683367,0.00068614364,0.0005997562,0.00046919132,0.00011967068,0.0005512441],"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":[0.00033378732,0.000086214604,0.020001331,0.00041681316,0.000019686588,0.0010229439,0.006127683,0.033654228,0.02234306,0.6279435,0.009026988,0.27902377],"study_design_scores_gemma":[0.000046174984,0.00054502726,0.07669677,0.00021215553,0.000072163275,0.0034038373,0.0161885,0.089799866,0.020667486,0.26124954,0.5310413,0.00007718076],"about_ca_topic_score_codex":0.0022607765,"about_ca_topic_score_gemma":0.0034542307,"teacher_disagreement_score":0.006646409,"about_ca_system_score_codex":0.0007005689,"about_ca_system_score_gemma":0.00027178487,"threshold_uncertainty_score":0.02223438},"labels":[],"label_agreement":null},{"id":"W2376056968","doi":"","title":"Regional characteristics of climatic change trend and abrupt change in Ningxia plain oasis","year":2010,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Precipitation; Climate change; Environmental science; Climatology; Trend analysis; Global warming; Coastal plain; Physical geography; Geography; Geology; Meteorology; Oceanography","score_opus":0.04694291937190008,"score_gpt":0.24929597582447868,"score_spread":0.20235305645257862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376056968","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":[0.99787617,0.00016920346,0.00015276889,0.000037769554,0.000003809431,0.000009370035,0.00066540134,0.000008605161,0.001076956],"genre_scores_gemma":[0.99898225,0.000102396625,0.00010368035,0.0000038915796,0.000003620063,0.000008206402,0.0006158002,0.0000012975278,0.00017886992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997725,0.000027949374,0.000042032236,0.000059361053,0.00005489764,0.000043253556],"domain_scores_gemma":[0.9994154,0.00010292792,0.00023505361,0.000037125043,0.00014026139,0.00006922971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043781055,0.00016110294,0.00020363812,0.001401314,0.00027596866,0.0005346279,0.00017455715,0.00011114193,0.0010037917],"category_scores_gemma":[0.00084060215,0.000115920455,0.00024839226,0.0022038156,0.0002948961,0.00033830502,0.00026712602,0.00015762703,0.00009635402],"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":[0.000054915476,0.000010865992,0.9916636,0.000037686095,0.000072034076,0.00020318989,0.000602068,0.0008703213,0.0016137832,0.00022190959,0.00014403072,0.0045057],"study_design_scores_gemma":[9.832738e-7,0.000005570089,0.9990871,0.0000023189025,0.000005653248,0.000029967232,0.00020654235,0.0003891352,0.000039282055,0.000013863085,0.00021688842,0.000002642407],"about_ca_topic_score_codex":0.033502106,"about_ca_topic_score_gemma":0.042269398,"teacher_disagreement_score":0.033502106,"about_ca_system_score_codex":0.0007401437,"about_ca_system_score_gemma":0.0005171928,"threshold_uncertainty_score":0.06661421},"labels":[],"label_agreement":null},{"id":"W2376238443","doi":"","title":"Estimation of Urban Land System Stability of River Valley——A Case Study of the Four Districts in Suburbs of Lanzhou City","year":2014,"lang":"en","type":"article","venue":"Economic Geography","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Urbanization; Land use; Geography; Land information system; Grassland; Land use, land-use change and forestry; Land development; Driving factors; Environmental science; China; Water resource management; Land management; Ecology","score_opus":0.013320944642090033,"score_gpt":0.1844867069706421,"score_spread":0.17116576232855207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376238443","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":[0.99939895,0.000014895137,0.00027351722,0.000015383708,4.8134393e-7,0.000009387635,0.00012286531,0.0000063100906,0.0001582323],"genre_scores_gemma":[0.9994242,0.000012835531,0.00025967846,0.0000014620167,0.0000011640295,0.0000060356097,0.0002002474,0.0000010443282,0.000093424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995989,0.00013479372,0.000027649688,0.00008029451,0.0000626331,0.000095708216],"domain_scores_gemma":[0.9995208,0.00015718429,0.00011259818,0.00004677569,0.00009873408,0.00006385533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004708374,0.00029119788,0.00027465387,0.0020258382,0.00057422026,0.00081074267,0.0004890171,0.0003578632,0.0005631002],"category_scores_gemma":[0.0009323125,0.00023181368,0.0005082355,0.0022919432,0.00048986694,0.00048426545,0.00058527186,0.00015822245,0.000056240016],"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":[0.00010183019,0.00010067081,0.96596265,0.000042118398,0.00012334586,0.001360343,0.0010277593,0.020072104,0.0012504645,0.00044122172,0.0003639925,0.009153481],"study_design_scores_gemma":[0.000016562208,0.000072407085,0.91618925,0.000008441661,0.00006240679,0.00019722797,0.0039689,0.07800145,0.00074195216,0.00020495405,0.00051255693,0.000023875546],"about_ca_topic_score_codex":0.093038425,"about_ca_topic_score_gemma":0.12065951,"teacher_disagreement_score":0.093038425,"about_ca_system_score_codex":0.0018213531,"about_ca_system_score_gemma":0.0006017978,"threshold_uncertainty_score":0.1849938},"labels":[],"label_agreement":null},{"id":"W2376679096","doi":"","title":"The plan & design conception of the Jinmen bay villa quarter of Xiamen international trade group","year":2007,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Bay; Plan (archaeology); Geography; Civil engineering; Engineering; Archaeology","score_opus":0.009910283638715062,"score_gpt":0.20289516875305333,"score_spread":0.19298488511433826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376679096","genre_codex":"other","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":[0.19026715,0.00055145135,0.24941526,0.004795625,0.00086857047,0.0059598587,0.0018908177,0.0006495287,0.5456017],"genre_scores_gemma":[0.6163697,0.0003830569,0.09920477,0.0006275505,0.000085962805,0.0025434573,0.0012039365,0.000103578466,0.27947792],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999629,0.00008711454,0.000012378585,0.000060553233,0.00011376515,0.000097087686],"domain_scores_gemma":[0.9996866,0.000008708994,0.000018672798,0.000018340766,0.00013685781,0.00013090647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006097938,0.00030921237,0.000109899825,0.0005195128,0.0016255202,0.0021327324,0.00058887276,0.00051400304,0.020917667],"category_scores_gemma":[0.00033003217,0.00020857422,0.0001869643,0.0005142635,0.0006568969,0.0004617515,0.00066326954,0.0004054325,0.0021239694],"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":[0.00057444326,0.00043821533,0.041488543,0.0004449566,0.000028262524,0.0021183838,0.010790536,0.03227307,0.0340567,0.4490613,0.11077234,0.3179533],"study_design_scores_gemma":[0.00012578223,0.0006238634,0.03273966,0.00011599532,0.000030732914,0.0004938947,0.014430781,0.019955527,0.008450908,0.014071274,0.9088998,0.00006180301],"about_ca_topic_score_codex":0.029528376,"about_ca_topic_score_gemma":0.03813121,"teacher_disagreement_score":0.029528376,"about_ca_system_score_codex":0.0029761954,"about_ca_system_score_gemma":0.0059663234,"threshold_uncertainty_score":0.06997651},"labels":[],"label_agreement":null},{"id":"W2376734251","doi":"","title":"The reformation suggestions in northern district of Zhongshan road in Qingdao","year":2010,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Geography; Style (visual arts); Cartography; Civil engineering; Archaeology; Engineering","score_opus":0.004510635223841373,"score_gpt":0.19407644831977683,"score_spread":0.18956581309593545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376734251","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8315796,0.0067790677,0.015149113,0.021409051,0.0012291606,0.0003587548,0.0009915835,0.0002822697,0.122221366],"genre_scores_gemma":[0.93516994,0.0023903444,0.008467123,0.00069713546,0.00013149528,0.00011769929,0.00062918564,0.000033754775,0.052363306],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999566,0.00010889991,0.0000325141,0.000075016826,0.00008187689,0.0001356537],"domain_scores_gemma":[0.9997774,0.000011767695,0.000024714853,0.000013608234,0.00011032804,0.000062249615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007301491,0.0002628571,0.00014030836,0.000788645,0.0021195838,0.00090049003,0.00049464306,0.00050048874,0.0051433602],"category_scores_gemma":[0.0005969623,0.00017457198,0.0002315899,0.0012594945,0.0008186595,0.000879758,0.000621961,0.00066910207,0.00033511428],"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":[0.0005661637,0.00022455571,0.15290876,0.0023826119,0.00006955758,0.0068610325,0.041535206,0.014896126,0.04449889,0.18251556,0.106786594,0.44675496],"study_design_scores_gemma":[0.000063115665,0.00019548433,0.30679718,0.00024651844,0.00009939464,0.00087040203,0.029645411,0.0033662072,0.0042855134,0.005077022,0.64920884,0.00014489252],"about_ca_topic_score_codex":0.07926255,"about_ca_topic_score_gemma":0.20497827,"teacher_disagreement_score":0.07926255,"about_ca_system_score_codex":0.0035602786,"about_ca_system_score_gemma":0.0064183827,"threshold_uncertainty_score":0.15760237},"labels":[],"label_agreement":null},{"id":"W2376750657","doi":"","title":"Calculation of Precipitation of Qinghai Lake During Little Ice Age Based on GIS","year":2013,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"CAE (Canada)","funders":"","keywords":"Precipitation; Shore; Climate change; Plateau (mathematics); Qinghai lake; Structural basin; Physical geography; Hydrology (agriculture); Monsoon; Arid; Geology; Environmental science; Climatology; Glacier; Geography; Oceanography; Geomorphology","score_opus":0.01046908366910967,"score_gpt":0.19900411137353705,"score_spread":0.18853502770442737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376750657","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":[0.92063266,0.00034939917,0.022670658,0.00014157248,0.00007086543,0.00024757453,0.041924886,0.0016977498,0.012264557],"genre_scores_gemma":[0.95157903,0.0003031116,0.01773416,0.000023577364,0.00005392524,0.00023969002,0.027018292,0.00008390769,0.0029641946],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998253,0.000013552496,0.000025182328,0.00004067783,0.00006389124,0.000031477517],"domain_scores_gemma":[0.9997904,0.000019923982,0.000039181145,0.000009123822,0.00011165417,0.000029700068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019819327,0.0004823361,0.0002814163,0.0024837458,0.00030641977,0.000592462,0.0003374329,0.00014321944,0.0024000646],"category_scores_gemma":[0.0004938603,0.00018118713,0.00042448263,0.0031431676,0.00009957759,0.000336318,0.00025580905,0.0001331733,0.00036946053],"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":[0.0001619127,0.00009894561,0.80998725,0.00037991852,0.00026215715,0.0008435342,0.0009127563,0.05374522,0.007234371,0.0010855299,0.019142762,0.10614567],"study_design_scores_gemma":[0.000034312456,0.000038691756,0.8832088,0.000022391363,0.00006296851,0.0001252738,0.0004167729,0.10218449,0.0017791097,0.00023209519,0.011856806,0.000038345428],"about_ca_topic_score_codex":0.051010128,"about_ca_topic_score_gemma":0.03555428,"teacher_disagreement_score":0.051010128,"about_ca_system_score_codex":0.00068321516,"about_ca_system_score_gemma":0.00063335174,"threshold_uncertainty_score":0.10142642},"labels":[],"label_agreement":null},{"id":"W2376848131","doi":"","title":"Application of SSR Fingerprinting Technique in Sweet and Waxy Maize Regional Tests","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Identification (biology); Biology; Biotechnology; Mathematics; Botany; Statistics","score_opus":0.007749143596811603,"score_gpt":0.21167933531665792,"score_spread":0.2039301917198463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376848131","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":[0.9971443,0.00006204566,0.001918126,0.000010341298,0.0000036415793,0.000017692624,0.00019783506,0.00001741366,0.00062857283],"genre_scores_gemma":[0.99320894,0.00005961512,0.005523971,0.000015487298,0.0000013558176,0.00001785793,0.00043411495,0.000007994486,0.0007306935],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993481,0.00009668385,0.0000663229,0.00024669716,0.00017645638,0.000065684566],"domain_scores_gemma":[0.9993482,0.000118497046,0.00018759447,0.00007943508,0.00018138807,0.00008476893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005885252,0.00025522316,0.00022783314,0.00065904687,0.0003089068,0.0003170073,0.0002465869,0.00020885163,0.00063384237],"category_scores_gemma":[0.0006371764,0.00011627692,0.0003570181,0.00064977346,0.00028216396,0.00018910985,0.0002879839,0.00028923337,0.00015393535],"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":[0.00043152506,0.000050223975,0.0443611,0.00004605156,0.000030139314,0.0002532575,0.00044909524,0.00023913993,0.9469104,0.000099114084,0.000031498075,0.0070984447],"study_design_scores_gemma":[0.000020789988,0.0018862906,0.62473476,0.000010626451,0.00013787452,0.0007392024,0.0013687686,0.00095906627,0.36817497,0.00011027332,0.0018184013,0.00003891077],"about_ca_topic_score_codex":0.0044127456,"about_ca_topic_score_gemma":0.013163227,"teacher_disagreement_score":0.0044127456,"about_ca_system_score_codex":0.00037152568,"about_ca_system_score_gemma":0.00026467833,"threshold_uncertainty_score":0.008774102},"labels":[],"label_agreement":null},{"id":"W2376909324","doi":"","title":"The landscape function regionalization for the Shiyang River Basin based on GIS and RS","year":2011,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Functional ecology; Landscape ecology; Environmental resource management; Function (biology); Ecology; Landscape assessment; Economic shortage; Sustainable development; Geography; Drainage basin; Ecosystem; Structural basin; Environmental science; Landscape design; Geology; Cartography; Habitat; Biology","score_opus":0.03122539545072792,"score_gpt":0.19643113020325392,"score_spread":0.165205734752526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376909324","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":[0.27852312,0.00095216744,0.69774604,0.00042228325,0.00003633745,0.00024054229,0.0012472526,0.0014026046,0.019429587],"genre_scores_gemma":[0.8039486,0.0005384481,0.19021332,0.000026727797,0.00001946125,0.0002183554,0.0014418525,0.000106730564,0.003486454],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997887,0.00006680428,0.000020227884,0.000055280583,0.000049533253,0.000019379399],"domain_scores_gemma":[0.99989355,0.000022157543,0.000016886852,0.000014021123,0.00004754072,0.0000057264033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027630248,0.00040757,0.00024165613,0.0021133823,0.0003475818,0.0009987392,0.00030881847,0.00020520031,0.002247923],"category_scores_gemma":[0.0006020178,0.00017175174,0.000606338,0.0016388617,0.00038673123,0.0011822708,0.00040668435,0.00021178518,0.00019334145],"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":[0.00015036819,0.00006241543,0.055608604,0.00049854285,0.00012361308,0.00073643395,0.0016223867,0.24785917,0.021828378,0.13423537,0.00876778,0.528507],"study_design_scores_gemma":[0.000028619055,0.00011824724,0.09860674,0.00008015978,0.00012906345,0.0006858919,0.0012509205,0.8218448,0.0063677803,0.027094971,0.0436822,0.000110492496],"about_ca_topic_score_codex":0.0152281,"about_ca_topic_score_gemma":0.014944917,"teacher_disagreement_score":0.0152281,"about_ca_system_score_codex":0.00096688786,"about_ca_system_score_gemma":0.0007571919,"threshold_uncertainty_score":0.030278921},"labels":[],"label_agreement":null},{"id":"W2377074150","doi":"","title":"The comparison of spatial characteristics in urban landuse growth among the central and sub-cities in Shanghai Region","year":2003,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Urbanization; Geography; Land use; Spatial ecology; Spatial variability; Scale (ratio); Spatial distribution; Common spatial pattern; Physical geography; Spatial heterogeneity; Urban planning; Cartography; Economic geography; Remote sensing; Ecology; Statistics","score_opus":0.014604976067738147,"score_gpt":0.19838049768333083,"score_spread":0.18377552161559269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377074150","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":[0.99949586,0.000028068129,0.000057779987,0.000005963263,5.4934867e-7,0.000002050212,0.00021582024,0.000005312969,0.00018855566],"genre_scores_gemma":[0.99939823,0.000023216442,0.000062456864,0.0000019339757,0.0000011533812,0.0000038449452,0.00034205677,0.000001243804,0.00016581485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998658,0.000017040813,0.000013634147,0.00003180147,0.000027848904,0.00004391019],"domain_scores_gemma":[0.99962246,0.00005445654,0.00011611314,0.000035251775,0.00009059111,0.00008112723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019953401,0.00021312333,0.0001616592,0.0015724765,0.00019866723,0.00045433606,0.00014740464,0.000102702266,0.0006165956],"category_scores_gemma":[0.00039926864,0.00011904243,0.00030319765,0.0017537168,0.0003094722,0.00024135725,0.00041190424,0.000083639956,0.0000962789],"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":[0.000077973986,0.000008693023,0.99183357,0.000021268406,0.000038923517,0.0001386454,0.0007918652,0.00085275574,0.0019691843,0.00010581134,0.00016069516,0.0040006675],"study_design_scores_gemma":[4.2342728e-7,0.0000072305147,0.99898475,0.0000010325914,0.000005530462,0.000024032079,0.00033272756,0.00047495204,0.00006919117,0.00000710204,0.00009120335,0.000001791341],"about_ca_topic_score_codex":0.05240253,"about_ca_topic_score_gemma":0.083457276,"teacher_disagreement_score":0.05240253,"about_ca_system_score_codex":0.0005148555,"about_ca_system_score_gemma":0.00036124844,"threshold_uncertainty_score":0.104195},"labels":[],"label_agreement":null},{"id":"W2377346110","doi":"","title":"Study on human driving forces in land-use change in arid inland river basins——A case study of Jiuquan City","year":2010,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Urbanization; Woodland; Arid; Human settlement; Agriculture; Geography; Land use, land-use change and forestry; Driving factors; Land use; Population growth; Population; Water resource management; Agricultural land; Environmental science; Ecology","score_opus":0.08745323174936637,"score_gpt":0.3048899862597412,"score_spread":0.2174367545103748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377346110","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":[0.9996877,0.000017010323,0.000045147022,0.000031146377,9.0917683e-7,0.0000037673697,0.000056997476,0.0000012791111,0.00015615305],"genre_scores_gemma":[0.9995721,0.000028185052,0.00009669833,0.000008155674,0.0000014628719,0.0000049071177,0.00010335979,9.022674e-7,0.00018423238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998858,0.000034769924,0.0000051518828,0.000021184369,0.000015956357,0.00003715421],"domain_scores_gemma":[0.9998098,0.000055532368,0.000034382683,0.000014621241,0.000036462385,0.000049273985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024122864,0.00021218415,0.0002111879,0.00068257086,0.00080878614,0.00036592668,0.00029818524,0.00031945383,0.00089152204],"category_scores_gemma":[0.00030594776,0.00018776878,0.0003571863,0.0010417491,0.0003043236,0.00030405822,0.0003032916,0.00025655032,0.00006245477],"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":[0.000048109036,0.00016394185,0.9859255,0.00003237573,0.000067876455,0.0017223719,0.0017451345,0.0035920497,0.0011471369,0.00027259006,0.0003164821,0.004966485],"study_design_scores_gemma":[0.0000062932572,0.000038627644,0.98327535,0.0000074074946,0.00002177568,0.00017972631,0.0038611514,0.011367766,0.00023634921,0.00008879144,0.00090355135,0.000013252749],"about_ca_topic_score_codex":0.13247976,"about_ca_topic_score_gemma":0.26973903,"teacher_disagreement_score":0.13247976,"about_ca_system_score_codex":0.001509361,"about_ca_system_score_gemma":0.00064801,"threshold_uncertainty_score":0.2634173},"labels":[],"label_agreement":null},{"id":"W2377370840","doi":"","title":"SATELLITIC RADAR REMOTE SENSING STUDIES ON EVOLUTION OF JILANTAI SALINE LAKE","year":2001,"lang":"en","type":"article","venue":"Guotu ziyuan yaogan","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Pleistocene; Remote sensing; Radar; Saline; Geology; Physical geography; Geography; Environmental science; Paleontology; Biology; Computer science; Telecommunications","score_opus":0.03078029418916183,"score_gpt":0.25245496573729825,"score_spread":0.22167467154813641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377370840","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":[0.9990885,0.000080124424,0.000041991265,0.000028459952,6.4896386e-7,0.0000019229228,0.00004175884,0.0000013249029,0.0007153098],"genre_scores_gemma":[0.99937445,0.000121472156,0.000104937775,0.00001039908,0.000002364295,0.000002267205,0.00010246243,9.5115627e-7,0.00028069175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995303,0.0000048908846,0.000002466789,0.000013909097,0.000010181655,0.0000155333],"domain_scores_gemma":[0.9998667,0.0000138665755,0.00004267834,0.000004559456,0.000046711586,0.000025439214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001003901,0.00010596617,0.00010024202,0.00096511486,0.00028541833,0.00020603786,0.00011863911,0.00009351786,0.00043765074],"category_scores_gemma":[0.00023830574,0.00008521752,0.00007233176,0.0010068489,0.00022268477,0.00024254066,0.00021061179,0.000114081144,0.000033309163],"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":[0.00005370459,0.00002122558,0.9570301,0.00004584227,0.000029459472,0.0005204363,0.0026873033,0.000534642,0.022738598,0.0004308886,0.00023331725,0.015674513],"study_design_scores_gemma":[8.346848e-7,0.000008105616,0.99866045,0.0000015686232,0.000005884674,0.00004815248,0.00031006627,0.00026119512,0.0002345913,0.000014288452,0.0004527132,0.000002020387],"about_ca_topic_score_codex":0.054860905,"about_ca_topic_score_gemma":0.10868991,"teacher_disagreement_score":0.054860905,"about_ca_system_score_codex":0.00054273126,"about_ca_system_score_gemma":0.00029619253,"threshold_uncertainty_score":0.109083116},"labels":[],"label_agreement":null},{"id":"W2377644092","doi":"","title":"LANDSLIDE MONITORING BY INSAR","year":2004,"lang":"en","type":"article","venue":"Chinese Journal of Engineering Geophysics","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":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Interferometric synthetic aperture radar; Landslide; Remote sensing; Decorrelation; Synthetic aperture radar; Geology; Geodesy; Computer science; Seismology; Computer vision","score_opus":0.0037577145268982,"score_gpt":0.1798220355797563,"score_spread":0.1760643210528581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377644092","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":[0.3943977,0.003927672,0.56230974,0.00042345552,0.00021866872,0.0001747374,0.0034126434,0.007853508,0.027281854],"genre_scores_gemma":[0.7456953,0.0019589022,0.24305578,0.00014168766,0.00009874306,0.000067863555,0.0036102803,0.00017611367,0.005195322],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996182,0.000056359502,0.000022713932,0.0001162027,0.00014516599,0.00004129713],"domain_scores_gemma":[0.99978083,0.000017961835,0.00004360356,0.000040865183,0.000105013794,0.000011744997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030735898,0.00061723887,0.00056321325,0.0018422743,0.0003498059,0.00069184083,0.00039606457,0.0004961563,0.00085979764],"category_scores_gemma":[0.0003025866,0.0002745104,0.00026338344,0.0017852146,0.00019121238,0.00084459654,0.00044316376,0.0004287742,0.0009820019],"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":[0.0002840848,0.00015594422,0.05365264,0.00048105943,0.00027929197,0.00033239665,0.00032135443,0.034303356,0.20295759,0.0028880308,0.009656036,0.69468826],"study_design_scores_gemma":[0.000099155324,0.00048134764,0.18462756,0.00013846857,0.00056406687,0.0009984027,0.0007242749,0.50675,0.2270218,0.0047344235,0.07365154,0.00020887394],"about_ca_topic_score_codex":0.002149834,"about_ca_topic_score_gemma":0.003548779,"teacher_disagreement_score":0.002149834,"about_ca_system_score_codex":0.00023790733,"about_ca_system_score_gemma":0.00031576667,"threshold_uncertainty_score":0.0042746067},"labels":[],"label_agreement":null},{"id":"W2377878859","doi":"","title":"On the application of ecological garden in landscape design of residential quarter","year":2007,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Landscape design; Meaning (existential); Ecological design; Geography; Order (exchange); Quality (philosophy); Architectural engineering; Ecology; Environmental planning; Environmental resource management; Engineering; Civil engineering; Environmental science; Archaeology; Business; Psychology","score_opus":0.010109850552109815,"score_gpt":0.2133773160473216,"score_spread":0.2032674654952118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377878859","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3498649,0.002309726,0.45421156,0.0038705724,0.00019763624,0.00010626979,0.000070987466,0.00029258928,0.18907572],"genre_scores_gemma":[0.9358215,0.0006420502,0.058650218,0.00010643992,0.000015822994,0.00003226595,0.000014708268,0.000033868193,0.0046832585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964094,0.00021955058,0.00001199717,0.000037290916,0.00005462717,0.000035612098],"domain_scores_gemma":[0.9997708,0.00009140918,0.00001957634,0.000029839568,0.00006181428,0.00002648906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062189973,0.0002120242,0.00014546893,0.00050845667,0.0011773002,0.0012248077,0.00031694354,0.00033231676,0.0023553967],"category_scores_gemma":[0.0007243873,0.00015579893,0.000247907,0.00053455605,0.0030563662,0.0012295647,0.0012874036,0.0003319185,0.00015037128],"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":[0.00014678012,0.00006097264,0.020713499,0.0004183742,0.000018222408,0.0008803528,0.018853135,0.019038005,0.010294321,0.67320865,0.0039678034,0.25239977],"study_design_scores_gemma":[0.000044445373,0.00042331545,0.05564228,0.0004951528,0.00010055783,0.0029935613,0.03609279,0.055154353,0.00866561,0.4112269,0.4290382,0.0001228182],"about_ca_topic_score_codex":0.0034548058,"about_ca_topic_score_gemma":0.011299276,"teacher_disagreement_score":0.0034548058,"about_ca_system_score_codex":0.00088290457,"about_ca_system_score_gemma":0.00076601934,"threshold_uncertainty_score":0.007879615},"labels":[],"label_agreement":null},{"id":"W2377976354","doi":"","title":"Land Use Change and Ecological Environment Effects of Resources-based Cities——A Case Study of Baiyin City in Gansu Province","year":2013,"lang":"en","type":"article","venue":"Shuitu baochi yanjiu","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Land use; Land development; Geography; Woodland; Environmental resource management; Resource (disambiguation); Grassland; Land use, land-use change and forestry; Environmental science; Water resources; Environmental protection; Water resource management; Ecology","score_opus":0.02832190363405303,"score_gpt":0.2012830493469901,"score_spread":0.17296114571293705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377976354","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":[0.99935824,0.00003649023,0.00004118945,0.000033294895,0.000001303324,0.0000075675766,0.00011840617,0.0000028419415,0.00040067008],"genre_scores_gemma":[0.9995116,0.000044224184,0.00007565365,0.0000074776854,0.0000018215122,0.000004959143,0.00014728747,9.589975e-7,0.00020595863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980456,0.000037161037,0.000012579134,0.00003347833,0.000042035463,0.00007012164],"domain_scores_gemma":[0.9998417,0.00002597276,0.000041281197,0.000015976377,0.000030318906,0.000044770295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021853359,0.00025778808,0.00016794281,0.00077501754,0.00071529514,0.00063358934,0.00042147568,0.00029097393,0.0008445385],"category_scores_gemma":[0.0002675032,0.00019057805,0.00045199905,0.0017931449,0.0005387392,0.00033597348,0.00063483964,0.00027850692,0.000055466764],"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":[0.00008427565,0.00015537872,0.9769643,0.000068638445,0.00009186415,0.0060750674,0.0018197267,0.004239289,0.0013578397,0.000364071,0.00069110707,0.00808846],"study_design_scores_gemma":[0.000007993455,0.00003405443,0.9888093,0.000008305633,0.00002662138,0.00034662304,0.0045637777,0.0049518906,0.0002158207,0.00006654961,0.0009568806,0.000012159063],"about_ca_topic_score_codex":0.23580714,"about_ca_topic_score_gemma":0.3425749,"teacher_disagreement_score":0.23580714,"about_ca_system_score_codex":0.0027740004,"about_ca_system_score_gemma":0.0010016274,"threshold_uncertainty_score":0.46886915},"labels":[],"label_agreement":null},{"id":"W2378125397","doi":"","title":"Main Cultivating Techniques of Producing New Variety Qingyou No.2 on Naked Oat","year":2007,"lang":"en","type":"article","venue":"Science and Technology of Qinghai Agriculture and Forestry","topic":"Remote Sensing and Land Use","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":"Economic shortage; Variety (cybernetics); Quality (philosophy); Product (mathematics); Engineering; Order (exchange); Business; Biotechnology; Mathematics; Biology; Computer science; Artificial intelligence; Physics","score_opus":0.005810981271528899,"score_gpt":0.20375243094782575,"score_spread":0.19794144967629684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378125397","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9645933,0.0019063815,0.02747861,0.00016737651,0.000059793412,0.0003615362,0.0003726865,0.00016795086,0.0048923893],"genre_scores_gemma":[0.89906865,0.002968136,0.08792538,0.00011154791,0.000040439834,0.00031415847,0.001305053,0.00008770957,0.008179022],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978226,0.000020963385,0.00002119313,0.00007103905,0.000058599533,0.000045889665],"domain_scores_gemma":[0.99986947,0.000013392667,0.000024283663,0.000019955778,0.00003140757,0.0000414073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030940582,0.00065606483,0.0003628081,0.00085241965,0.0007407488,0.00042319574,0.00041323478,0.00018363219,0.00087174895],"category_scores_gemma":[0.00013388084,0.00018669441,0.0005090524,0.00056044146,0.0002209619,0.00036696685,0.00036165674,0.0004264279,0.00024634087],"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":[0.00007464555,0.000072924726,0.007600548,0.00024335591,0.000015007835,0.0003545557,0.0006641279,0.0002579247,0.9586655,0.0001440507,0.00016272461,0.031744756],"study_design_scores_gemma":[0.00018010389,0.003708327,0.32917264,0.00019311828,0.00046501728,0.0026101728,0.003283643,0.0027849001,0.58942765,0.0004290191,0.067567214,0.00017813213],"about_ca_topic_score_codex":0.006519821,"about_ca_topic_score_gemma":0.019321494,"teacher_disagreement_score":0.006519821,"about_ca_system_score_codex":0.00036662398,"about_ca_system_score_gemma":0.0006062369,"threshold_uncertainty_score":0.012963772},"labels":[],"label_agreement":null},{"id":"W2378167613","doi":"","title":"Research advances on Hypericum Linn and resources in Heilongjiang Province and its utilizing prospect","year":2006,"lang":"en","type":"article","venue":"Dongbei Nongye Daxue xuebao","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Hypericum; Resource (disambiguation); Traditional medicine; Medicine; Computer science","score_opus":0.021316046345051482,"score_gpt":0.261894451650063,"score_spread":0.24057840530501148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378167613","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94265854,0.021748591,0.0024978782,0.0016055885,0.000028070943,0.00002848712,0.00069866347,0.000029423454,0.030704746],"genre_scores_gemma":[0.9787804,0.012652774,0.0025375003,0.00011399183,0.000027070217,0.000010473729,0.0004986966,0.000005346892,0.0053736763],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998752,0.00002514739,0.000009167213,0.000029575307,0.00003529999,0.000025602962],"domain_scores_gemma":[0.9998306,0.00003860745,0.000034654822,0.000009910638,0.000054724875,0.000031490716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038861381,0.00019710683,0.00017870087,0.001118444,0.00056941947,0.0006688193,0.00021933559,0.00013186017,0.0016707352],"category_scores_gemma":[0.0001535375,0.00008076675,0.00012341811,0.0022327674,0.00018838656,0.000687041,0.00020980046,0.00013965365,0.0001606089],"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":[0.0005844306,0.00015083619,0.30286995,0.0012993565,0.00009028495,0.002661983,0.002819561,0.0029439933,0.19457915,0.005147442,0.0016643591,0.4851886],"study_design_scores_gemma":[0.00002746951,0.00020065343,0.8741291,0.00015978489,0.00008553598,0.00097409845,0.002660737,0.0017979417,0.029746883,0.002814441,0.08736885,0.000034482688],"about_ca_topic_score_codex":0.052388456,"about_ca_topic_score_gemma":0.07860053,"teacher_disagreement_score":0.052388456,"about_ca_system_score_codex":0.0012869776,"about_ca_system_score_gemma":0.0015272618,"threshold_uncertainty_score":0.104167044},"labels":[],"label_agreement":null},{"id":"W2378253710","doi":"","title":"Multiplicative Scatter Correction and Stepwise Regression to Build NIRS Model for Analysis of Soil Organic Carbon Content in Black Soil","year":2010,"lang":"en","type":"article","venue":"System Sciences and Comprehensive Studies in Agriculture","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Agriculture and Agri-Food Canada","funders":"","keywords":"Stepwise regression; Wavelength; Regression analysis; Linear regression; Multiplicative function; Regression; Coefficient of determination; Partial least squares regression; Near-infrared spectroscopy; Mathematics; Statistics; Remote sensing; Optics; Physics","score_opus":0.04900731083120297,"score_gpt":0.27854792044073123,"score_spread":0.22954060960952827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378253710","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":[0.12159741,0.0002524886,0.87434334,0.00018179916,0.000101653044,0.00022010184,0.000431232,0.0017258174,0.0011461944],"genre_scores_gemma":[0.6247125,0.00039654056,0.36264008,0.000102066006,0.000056689925,0.00073936576,0.0014321407,0.000539993,0.00938066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864286,0.0006407397,0.00008395071,0.00026195985,0.00027949724,0.00009095503],"domain_scores_gemma":[0.99897456,0.000563843,0.00010727369,0.00007573952,0.0002490466,0.000029625135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028638383,0.0015775168,0.0008793679,0.0010807347,0.000538532,0.000628669,0.0015796294,0.0005689006,0.0022488174],"category_scores_gemma":[0.003947581,0.00081753574,0.0025637532,0.001210412,0.00030300286,0.0008082168,0.0006169307,0.001171718,0.0012197532],"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":[0.00034994504,0.00034179798,0.030980464,0.00033162397,0.0008053734,0.0005045416,0.0003693135,0.7959994,0.01598565,0.0055202576,0.003231383,0.14558017],"study_design_scores_gemma":[0.00001200041,0.00007236083,0.002140778,0.000008525355,0.000048181282,0.000050861872,0.000019111076,0.99363315,0.0020812638,0.0008939797,0.0010196292,0.000020126843],"about_ca_topic_score_codex":0.014027303,"about_ca_topic_score_gemma":0.01825964,"teacher_disagreement_score":0.014027303,"about_ca_system_score_codex":0.00071864726,"about_ca_system_score_gemma":0.0016180028,"threshold_uncertainty_score":0.027891278},"labels":[],"label_agreement":null},{"id":"W2378494908","doi":"","title":"Wood Texture Classification Based on LBP-ADABOOST","year":2015,"lang":"en","type":"article","venue":"Harbin Ligong Daxue xuebao","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Local binary patterns; AdaBoost; Artificial intelligence; Pattern recognition (psychology); Support vector machine; Invariant (physics); Texture (cosmology); Computer science; Texture filtering; Classifier (UML); Mathematics; Image texture; Histogram; Image processing; Image (mathematics)","score_opus":0.046385424790262704,"score_gpt":0.23080560883536752,"score_spread":0.18442018404510482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378494908","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":[0.06354919,0.00027446914,0.93257064,0.00012961173,0.00014972492,0.0001259498,0.00008357012,0.0013572846,0.0017595248],"genre_scores_gemma":[0.7540535,0.00031288518,0.23980017,0.00016734494,0.00011979192,0.00022294695,0.00034181695,0.00009424642,0.004887361],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999383,0.00006641534,0.000028336211,0.00014371349,0.0002642965,0.000114305745],"domain_scores_gemma":[0.999658,0.000056783276,0.000028784074,0.000027998782,0.00020072584,0.000027659657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006675941,0.0006008464,0.0010987688,0.001708462,0.00060661114,0.0007443098,0.0010496016,0.0007664114,0.0015115531],"category_scores_gemma":[0.0008493064,0.0003634128,0.0007700385,0.0011403164,0.00044647942,0.0009955547,0.0005267489,0.0007028891,0.00054300466],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053031,0.0004465628,0.0038025405,0.00016345753,0.000099167526,0.000099980774,0.00007467191,0.0987747,0.047803506,0.0022746774,0.0041296724,0.8418007],"study_design_scores_gemma":[0.000016402733,0.0000592059,0.0016184534,0.000006133113,0.000017648254,0.000045215344,0.000022826907,0.9897363,0.0068576536,0.00088554114,0.0007196303,0.000014970352],"about_ca_topic_score_codex":0.0066946107,"about_ca_topic_score_gemma":0.0045343637,"teacher_disagreement_score":0.0066946107,"about_ca_system_score_codex":0.0005668238,"about_ca_system_score_gemma":0.0007388804,"threshold_uncertainty_score":0.013311267},"labels":[],"label_agreement":null},{"id":"W2378620149","doi":"","title":"Study on plant species diversity of green space in Foshan urban district(II)——Bamboo,woody climber,shrub and herb species diversity","year":2006,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Bamboo; Shrub; Woody plant; Herb; Deciduous; Biology; Botany; Species diversity; Ecology; Medicinal herbs","score_opus":0.02730207120840829,"score_gpt":0.1865144283094723,"score_spread":0.159212357101064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378620149","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":[0.99978596,0.000018501163,0.000015884714,0.000002623495,2.8894257e-7,0.000001948915,0.000041382133,4.1536762e-7,0.00013310373],"genre_scores_gemma":[0.99951446,0.000027333877,0.00008114764,0.0000032800417,7.3168223e-7,0.0000049628948,0.00011715186,3.680691e-7,0.00025062234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989545,0.000018430244,0.0000057287907,0.000027601818,0.000019599143,0.0000332904],"domain_scores_gemma":[0.9999014,0.000017318369,0.000027282751,0.0000053000654,0.000021608137,0.000027137692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013108242,0.00012387629,0.00013257311,0.0009242363,0.00045155786,0.00018497583,0.00013305919,0.000092451985,0.00092433405],"category_scores_gemma":[0.00015411909,0.00010504061,0.00009445874,0.00063852256,0.0002415078,0.00018776108,0.0002724103,0.00008318427,0.00008124228],"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":[0.000087433975,0.000041363757,0.970791,0.000054680095,0.000039785773,0.00044779538,0.0043692105,0.00011096171,0.012847968,0.000114401395,0.000118498356,0.010976907],"study_design_scores_gemma":[9.3035635e-7,0.00003167601,0.9979261,0.0000019539202,0.0000038844264,0.0001160693,0.0013037426,0.00007377947,0.00020369554,0.000010003952,0.00032572966,0.0000024035921],"about_ca_topic_score_codex":0.020619756,"about_ca_topic_score_gemma":0.08116024,"teacher_disagreement_score":0.020619756,"about_ca_system_score_codex":0.00035932552,"about_ca_system_score_gemma":0.00020644393,"threshold_uncertainty_score":0.040999472},"labels":[],"label_agreement":null},{"id":"W2378916680","doi":"","title":"SIMULATION OF ENVIRONMENT AND ECONOMY SECURITY OF CHINA UNDER GLOBAL CHANGES WITH COMPLEXITY","year":2001,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Food security; China; Population; Consumption (sociology); Statistic; Economics; Economic shortage; Food shortage; Economy; Natural resource economics; Geography; Business; Mathematics; Government (linguistics); Agriculture; Ecology; Statistics","score_opus":0.022123919108795184,"score_gpt":0.21182736701506594,"score_spread":0.18970344790627075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378916680","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":[0.9696218,0.00014586136,0.010521129,0.00065674016,0.0000512707,0.00005925098,0.0009066135,0.00017943732,0.017857883],"genre_scores_gemma":[0.9949669,0.000144385,0.001487933,0.000029935693,0.000006647502,0.000057888195,0.00041346592,0.000016241642,0.0028765535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997992,0.000051590454,0.000013050554,0.00003470675,0.000033213026,0.000068325586],"domain_scores_gemma":[0.99961674,0.00013691012,0.00005623567,0.00002708062,0.00010058323,0.0000624177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037384962,0.0005777739,0.0005253226,0.0008635136,0.000761844,0.00078103406,0.0008099982,0.0010127284,0.004852018],"category_scores_gemma":[0.0010125219,0.000264559,0.0011840177,0.0008158906,0.0006341306,0.0010096274,0.000867492,0.00049348455,0.00015144805],"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":[0.000024203731,0.00001942865,0.0045708697,0.00001663073,0.000015212422,0.00011382841,0.000051494622,0.9916625,0.00022178472,0.0022091733,0.0002535048,0.00084133603],"study_design_scores_gemma":[0.000024790732,0.000028345243,0.0023034646,0.000004629768,0.000014749646,0.0000128049405,0.00007422464,0.9957604,0.00015524412,0.001174395,0.00043787342,0.000009086881],"about_ca_topic_score_codex":0.103300266,"about_ca_topic_score_gemma":0.031388234,"teacher_disagreement_score":0.103300266,"about_ca_system_score_codex":0.00198549,"about_ca_system_score_gemma":0.0018728685,"threshold_uncertainty_score":0.20539802},"labels":[],"label_agreement":null},{"id":"W2379018360","doi":"","title":"ANALYSIS ON GEOLOGICAL ORIGIN OF ANCIENT ACCUMULATION BODY GROUP AT UPPER REACHES OF JINSHA RIVER","year":2013,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Hydropower; Geology; Debris flow; Feature (linguistics); Group (periodic table); Domain (mathematical analysis); Debris; Period (music); Shore; Hydrology (agriculture); Geography; Geotechnical engineering; Engineering","score_opus":0.037301826097294266,"score_gpt":0.25047914100281515,"score_spread":0.2131773149055209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379018360","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":[0.99671626,0.000023056129,0.0006959341,0.000018776238,0.0000012968275,0.0000064273486,0.00011774959,0.000009338111,0.0024111813],"genre_scores_gemma":[0.9985643,0.00002965335,0.00041671726,0.000002585895,0.0000011817339,0.000003921949,0.0002537645,0.0000026197072,0.00072535314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998416,0.000014685038,0.000011257917,0.000042333482,0.000051090963,0.000039085855],"domain_scores_gemma":[0.99974495,0.000047000576,0.00005656013,0.000020632215,0.00009368143,0.000037067082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014966034,0.00009891626,0.000119302196,0.0018995636,0.00040261724,0.0005112908,0.00023832914,0.00018120286,0.0012647718],"category_scores_gemma":[0.0005435637,0.00011267579,0.00021167254,0.0015724029,0.00028916087,0.0003909745,0.00036994106,0.00012877557,0.00012737224],"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":[0.000025333622,0.00002079575,0.9710835,0.000027777436,0.000015533613,0.0008801999,0.0018968553,0.0021513668,0.0023334625,0.0021723395,0.00034208415,0.01905075],"study_design_scores_gemma":[0.0000020036846,0.000014959231,0.9888841,0.000008507288,0.000015838312,0.00016176167,0.0022104895,0.006360554,0.000452284,0.00038197383,0.0015011006,0.0000064179576],"about_ca_topic_score_codex":0.021630086,"about_ca_topic_score_gemma":0.034751073,"teacher_disagreement_score":0.021630086,"about_ca_system_score_codex":0.00043022068,"about_ca_system_score_gemma":0.0005135914,"threshold_uncertainty_score":0.043008327},"labels":[],"label_agreement":null},{"id":"W2379349721","doi":"","title":"A trial research for breed technique of Dense Lee's seed of Canadian purple leaf","year":2006,"lang":"en","type":"article","venue":"Journal of Changchun University","topic":"Remote Sensing and Land Use","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":"Germination; Biology; Economic shortage; Seedling; Breed; Afforestation; Horticulture; Botany; Agronomy; Agroforestry; Animal science","score_opus":0.058964780973164974,"score_gpt":0.24961677876877322,"score_spread":0.19065199779560826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379349721","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":[0.99475455,0.00008584802,0.002129465,0.000068228364,0.00001843337,0.0003058623,0.00018897744,0.00006189005,0.002386855],"genre_scores_gemma":[0.9629391,0.00021850929,0.01842677,0.00019618079,0.000010690498,0.00037501528,0.0009220929,0.00005495489,0.016856741],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974555,0.000025441734,0.0000060229886,0.00006802902,0.00009812606,0.000056756842],"domain_scores_gemma":[0.9994492,0.000040679017,0.000028002198,0.00004578797,0.00015409422,0.00028225037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045338983,0.0003137989,0.00021844276,0.00037612495,0.0013327992,0.00019000036,0.00052415626,0.00023160713,0.0022388294],"category_scores_gemma":[0.00031625686,0.00014114987,0.000294911,0.0002732854,0.00035406032,0.00015472529,0.00029792095,0.0004054611,0.00022029127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014427333,0.0018716617,0.020482969,0.00017735112,0.000077844394,0.00048077537,0.000986694,0.00045572672,0.9309997,0.0010931649,0.0014079945,0.040523514],"study_design_scores_gemma":[0.0011075775,0.036499765,0.5503136,0.000042490796,0.0002929045,0.0014247559,0.002213188,0.004365191,0.35217178,0.00027516644,0.051133085,0.00016058247],"about_ca_topic_score_codex":0.19832179,"about_ca_topic_score_gemma":0.51107454,"teacher_disagreement_score":0.8016782,"about_ca_system_score_codex":0.0024785048,"about_ca_system_score_gemma":0.0041950843,"threshold_uncertainty_score":0.39433485},"labels":[],"label_agreement":null},{"id":"W2379468891","doi":"","title":"Research on Regional Control of Land-use in New Age in China","year":2006,"lang":"en","type":"article","venue":"Resource Development & Market","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"China; Regional planning; Control (management); Land use; Environmental planning; Land-use planning; Business; Regional science; Geography; Environmental resource management; Urban planning; Civil engineering; Environmental science; Economics; Engineering; Management","score_opus":0.03110250376867621,"score_gpt":0.24740078911694405,"score_spread":0.21629828534826784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379468891","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":[0.9656343,0.0026754932,0.0009768918,0.00056691933,0.000019134868,0.000020129024,0.00011053389,0.000012209942,0.029984383],"genre_scores_gemma":[0.997047,0.0007379639,0.00015693408,0.000021016902,0.000010845597,0.0000034152679,0.00003963407,0.0000018189885,0.0019813646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996076,0.000058793485,0.000027305707,0.00010526931,0.000095657306,0.00010536262],"domain_scores_gemma":[0.99966633,0.000045538432,0.00008330901,0.00002721569,0.00011256712,0.00006504281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065034436,0.00011587126,0.00018184449,0.0011518833,0.0005657592,0.0012165565,0.00044877589,0.000117342766,0.0016683794],"category_scores_gemma":[0.0007520861,0.00007120148,0.00024915033,0.0013179472,0.00074933184,0.00089731964,0.00047013912,0.0001736269,0.00007494679],"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":[0.00010070616,0.000102535734,0.73950076,0.00020761913,0.000120569945,0.00089264585,0.019647967,0.0037940054,0.0060974425,0.09673456,0.002096521,0.13070467],"study_design_scores_gemma":[0.000004120889,0.00005353263,0.97198355,0.00003462261,0.0000359153,0.0001330674,0.0047387583,0.0028190285,0.0007813447,0.0026812928,0.016719019,0.000015684216],"about_ca_topic_score_codex":0.0799011,"about_ca_topic_score_gemma":0.1278336,"teacher_disagreement_score":0.0799011,"about_ca_system_score_codex":0.003051661,"about_ca_system_score_gemma":0.001865559,"threshold_uncertainty_score":0.15887207},"labels":[],"label_agreement":null},{"id":"W2380159924","doi":"","title":"The Moving Object Detection based on Local Hierarchical GMM","year":2009,"lang":"en","type":"article","venue":"Signal Processing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"L'Alliance Boviteq","funders":"","keywords":"Mixture model; Artificial intelligence; Dispose pattern; Computer science; Pattern recognition (psychology); Block (permutation group theory); Object detection; Computer vision; Process (computing); Pixel; Mathematics","score_opus":0.008985493593931698,"score_gpt":0.21043760370581435,"score_spread":0.20145211011188266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2380159924","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":[0.015482308,0.00029700922,0.981487,0.00007217676,0.000041868898,0.000030879226,0.00007761023,0.001421261,0.0010899097],"genre_scores_gemma":[0.3859001,0.0005404539,0.6085787,0.00011802768,0.000077111945,0.00008975982,0.00036139248,0.00025581877,0.0040786555],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999401,0.00013469868,0.000021041562,0.0001754719,0.00018655209,0.000081165985],"domain_scores_gemma":[0.9996296,0.00011064087,0.000027916321,0.000055147528,0.00015069531,0.00002595789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008390041,0.00052940834,0.0007956128,0.0010963284,0.00032871525,0.00050982035,0.00075008307,0.00045785395,0.001337105],"category_scores_gemma":[0.0017869107,0.00031811508,0.00066851854,0.00076446135,0.00035839036,0.0010743006,0.00060415233,0.0005910788,0.0007544851],"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":[0.00021258993,0.00007207442,0.0027225323,0.00013681574,0.00010417042,0.00010673863,0.00017996976,0.06803998,0.059594184,0.008741382,0.0048054354,0.85528415],"study_design_scores_gemma":[0.000016201626,0.00006995916,0.0040675653,0.000011930711,0.000059293736,0.00014903315,0.00003903079,0.9629209,0.024071608,0.0044757575,0.0040707397,0.000048032914],"about_ca_topic_score_codex":0.008519515,"about_ca_topic_score_gemma":0.0072203972,"teacher_disagreement_score":0.008519515,"about_ca_system_score_codex":0.0006381746,"about_ca_system_score_gemma":0.00080546056,"threshold_uncertainty_score":0.016939878},"labels":[],"label_agreement":null},{"id":"W2380490413","doi":"","title":"Improved survey method of ancient and famous trees","year":2006,"lang":"en","type":"article","venue":"","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":"CAE (Canada)","funders":"","keywords":"Complement (music); Crown (dentistry); Tree (set theory); Survey methodology; Key (lock); Global Positioning System; Computer science; Geography; Statistics; Mathematics; Biology; Orthodontics; Medicine; Telecommunications; Combinatorics; Computer security","score_opus":0.015399432080792636,"score_gpt":0.2270923077800583,"score_spread":0.21169287569926565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2380490413","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1985612,0.001902553,0.779682,0.00026397093,0.00029564626,0.00018473671,0.0008239516,0.0016997049,0.01658625],"genre_scores_gemma":[0.40548763,0.0012309344,0.58096045,0.00011236215,0.00013765364,0.00015954964,0.00093666394,0.00022114324,0.010753637],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889886,0.00030148166,0.000062716084,0.00023323328,0.00044297232,0.000060643553],"domain_scores_gemma":[0.9982704,0.00024795614,0.00010241914,0.00019922314,0.0011044823,0.00007546276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011999358,0.00032177565,0.00032106994,0.0032788103,0.0005026902,0.0005737282,0.00048191193,0.00027561001,0.002880021],"category_scores_gemma":[0.002185697,0.00023430084,0.0002453482,0.0024930313,0.0001825002,0.0013107699,0.0007416741,0.00026807486,0.0008952317],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011030386,0.00003832423,0.03337952,0.00048560734,0.000050599803,0.00018993186,0.001756436,0.0020507183,0.049219366,0.0050122268,0.0055266316,0.9021803],"study_design_scores_gemma":[0.00012307377,0.00053170405,0.37895933,0.000369676,0.00045438544,0.008180793,0.006057932,0.12829065,0.10897153,0.0135071715,0.35395905,0.0005947425],"about_ca_topic_score_codex":0.002734637,"about_ca_topic_score_gemma":0.007735048,"teacher_disagreement_score":0.0032788103,"about_ca_system_score_codex":0.00021990473,"about_ca_system_score_gemma":0.00056837,"threshold_uncertainty_score":0.009634554},"labels":[],"label_agreement":null},{"id":"W2380696818","doi":"","title":"Spatial-temporal change and its driving forces in woodlands in the Shangluo Section of the Qinling Mountains over the last 30 years","year":2010,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Woodland; Arable land; Geography; Elevation (ballistics); Forestry; Section (typography); Physical geography; Ecology; Archaeology; Agriculture","score_opus":0.018338468464677685,"score_gpt":0.21604227541206164,"score_spread":0.19770380694738396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2380696818","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":[0.99933916,0.000108136875,0.00007724451,0.000024549341,0.0000026279529,0.0000031224445,0.00022255321,0.0000036588547,0.00021885516],"genre_scores_gemma":[0.9994923,0.00005776369,0.000085875305,0.000006130852,0.0000032102525,0.0000032074372,0.00024255172,6.653399e-7,0.000108321496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998171,0.00002075336,0.000013593184,0.000046960504,0.00004269104,0.0000589319],"domain_scores_gemma":[0.9996908,0.000047995876,0.00011237658,0.000012191437,0.00007520929,0.000061536426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005445635,0.00016904689,0.00013432353,0.0011223085,0.00034499954,0.0003675044,0.00019039298,0.00014562646,0.0006428978],"category_scores_gemma":[0.0005038626,0.00013768981,0.0002847945,0.0012945376,0.00034170915,0.00032839042,0.00021587017,0.00013280263,0.00006011325],"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":[0.000044141958,0.000019395613,0.9884828,0.000045296445,0.0000936581,0.0003167488,0.00082288,0.0013205529,0.0016462498,0.00027035427,0.0002390731,0.0066989153],"study_design_scores_gemma":[0.0000010189538,0.000010749061,0.99889237,0.0000023569291,0.000011946939,0.000030253945,0.0002782844,0.00050293,0.000048313494,0.000018007215,0.0002009583,0.000002754515],"about_ca_topic_score_codex":0.084157325,"about_ca_topic_score_gemma":0.15942682,"teacher_disagreement_score":0.084157325,"about_ca_system_score_codex":0.0009380164,"about_ca_system_score_gemma":0.0006873908,"threshold_uncertainty_score":0.16733491},"labels":[],"label_agreement":null},{"id":"W2380799176","doi":"","title":"Effects of homogenization and drying on drying rate of pumpkin-powder","year":2004,"lang":"en","type":"article","venue":"Food Science and Technology International","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Homogenization (climate); Vacuum drying; Freeze-drying; Materials science; Food science; Chemistry; Composite material; Chromatography; Biology","score_opus":0.00554391610297992,"score_gpt":0.20024878113071523,"score_spread":0.19470486502773532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2380799176","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":[0.9787925,0.007123104,0.011020723,0.00016263907,0.00012135883,0.000101597914,0.00028023846,0.00020796042,0.0021899336],"genre_scores_gemma":[0.96884245,0.0049982863,0.022939643,0.00013581553,0.00008278337,0.000083761755,0.0004712711,0.00028795973,0.0021579587],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99944824,0.00012030102,0.000088233784,0.00016044595,0.00012187973,0.00006087414],"domain_scores_gemma":[0.9985964,0.0007837933,0.00023534462,0.00011449441,0.00020002718,0.00007002595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000898824,0.00043433954,0.0004054356,0.00040982483,0.00022102155,0.0003607934,0.00031070027,0.00026564382,0.0016278017],"category_scores_gemma":[0.0020848894,0.00031813054,0.0002965771,0.00038460505,0.00021032101,0.0008449563,0.0002011539,0.0007863708,0.00039345946],"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":[0.00034454567,0.00004435056,0.0005490843,0.00018974452,0.000015955773,0.00009291255,0.000117760566,0.0002527642,0.9914072,0.00006638609,0.00005844623,0.0068607824],"study_design_scores_gemma":[0.000007755947,0.000388578,0.0025789444,0.000010143107,0.0000323024,0.000121311175,0.00003325965,0.00052162126,0.9948466,0.000022629774,0.0014243072,0.000012689348],"about_ca_topic_score_codex":0.00023493459,"about_ca_topic_score_gemma":0.00047724388,"teacher_disagreement_score":0.0016278017,"about_ca_system_score_codex":0.00016599367,"about_ca_system_score_gemma":0.00014656734,"threshold_uncertainty_score":0.00544554},"labels":[],"label_agreement":null},{"id":"W2381119677","doi":"","title":"Theory and application of deorientation for target scattering Part II: application to terrain surface classification","year":2006,"lang":"en","type":"article","venue":"Chinese Journal of Radio Science","topic":"Remote Sensing and Land Use","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":"Terrain; Polarimetry; Remote sensing; Scattering; Orientation (vector space); Surface (topology); Radiative transfer; Transformation (genetics); Class (philosophy); Canopy; Surface roughness; Contextual image classification; Computer science; Pattern recognition (psychology); Artificial intelligence; Geography; Mathematics; Image (mathematics); Geometry; Physics; Cartography; Optics","score_opus":0.006560266838476797,"score_gpt":0.24268319642245373,"score_spread":0.23612292958397693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381119677","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":[0.0028360402,0.00096061896,0.9921948,0.00020269124,0.000102491416,0.000021664342,0.000037028043,0.00013559208,0.0035090712],"genre_scores_gemma":[0.3040918,0.009243678,0.67156625,0.0004712199,0.000683638,0.0002754105,0.00051418133,0.00018238352,0.012971364],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99963975,0.00006482645,0.000028983835,0.000109369656,0.00012048012,0.000036639416],"domain_scores_gemma":[0.99961215,0.00013942458,0.000043809512,0.000061586834,0.0001239875,0.000019039031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055221067,0.00056767865,0.0005343187,0.0013319834,0.00041311228,0.0011885421,0.000700982,0.0006159199,0.0015112868],"category_scores_gemma":[0.0011024078,0.00035645423,0.00062841823,0.0014919476,0.0012074998,0.0011666395,0.0007612268,0.0009812766,0.00081374217],"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":[0.000054246597,0.000048187685,0.003413387,0.00033272055,0.000064821856,0.00026589682,0.00025966327,0.23684692,0.02295376,0.28734908,0.0059795277,0.44243178],"study_design_scores_gemma":[0.000008810219,0.000050577804,0.0021445625,0.000044162058,0.000017375081,0.00039216378,0.000096393516,0.84433174,0.0067802332,0.1121225,0.033960298,0.00005114599],"about_ca_topic_score_codex":0.003347172,"about_ca_topic_score_gemma":0.0014472276,"teacher_disagreement_score":0.003347172,"about_ca_system_score_codex":0.00086129864,"about_ca_system_score_gemma":0.00050510163,"threshold_uncertainty_score":0.0066553354},"labels":[],"label_agreement":null},{"id":"W2381144924","doi":"","title":"Analysis of land use difference degree in arid inland river basin——Taking Zhangye,Ganzhou District as an example","year":2012,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Land use; Arid; Geography; Land development; Land use, land-use change and forestry; Degree (music); Drainage basin; Hydrology (agriculture); Land management; Environmental science; Physical geography; Water resource management; Ecology; Geology; Cartography","score_opus":0.08789901975788084,"score_gpt":0.2538082355279788,"score_spread":0.16590921577009798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381144924","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":[0.99889404,0.000030779174,0.00031176684,0.000012308998,0.0000013583789,0.000004193017,0.00023259288,0.0000074519917,0.00050565583],"genre_scores_gemma":[0.99919075,0.000012999337,0.00019787974,0.0000025193033,0.0000010151451,0.0000044149333,0.0003721633,0.0000013276657,0.00021696018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998536,0.00002273597,0.000013253001,0.00004507612,0.00003625967,0.000029147941],"domain_scores_gemma":[0.9997826,0.00005546391,0.000046079705,0.000023026792,0.0000499849,0.000042859676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016129384,0.0001151621,0.00015073677,0.0014091341,0.00020609799,0.00032788332,0.00017902047,0.00012199706,0.00072243175],"category_scores_gemma":[0.00047878898,0.00009083791,0.00023816468,0.0017602821,0.00022333117,0.00030421163,0.00032395063,0.00010176453,0.000048306098],"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":[0.00004526564,0.000021196325,0.98565936,0.000028139306,0.00006306047,0.00017216007,0.0006699217,0.002591133,0.0018573492,0.0004480649,0.00030942867,0.008135028],"study_design_scores_gemma":[0.0000018920908,0.000010159211,0.99511564,0.0000012506242,0.000008668064,0.00004768141,0.00039878805,0.003764913,0.00021444801,0.00006440383,0.00036834762,0.000003716732],"about_ca_topic_score_codex":0.029623348,"about_ca_topic_score_gemma":0.05381896,"teacher_disagreement_score":0.029623348,"about_ca_system_score_codex":0.0005743229,"about_ca_system_score_gemma":0.0003261869,"threshold_uncertainty_score":0.058901846},"labels":[],"label_agreement":null},{"id":"W2381200746","doi":"","title":"Research Progress of Atmospheric Environmental Management Models","year":2007,"lang":"en","type":"article","venue":"Industrial Safety and Environmental Protection","topic":"Remote Sensing and Land Use","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":"AERMOD; Environmental science; Atmospheric dispersion modeling; Atmospheric research; Atmospheric emissions; Meteorology; Air pollution; Atmospheric sciences; Geography; Chemistry; Geology","score_opus":0.04884947377751128,"score_gpt":0.23163498141268213,"score_spread":0.18278550763517085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381200746","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036308248,0.22643343,0.5604138,0.019712482,0.0041605122,0.0001430267,0.0018647128,0.0018035846,0.14916027],"genre_scores_gemma":[0.49258485,0.26854974,0.19304138,0.0023426868,0.0059787156,0.00021308183,0.0044813394,0.0007784849,0.032029733],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982993,0.00039892472,0.00008628607,0.00037546718,0.00075683446,0.00008315257],"domain_scores_gemma":[0.9979747,0.000655268,0.00011772277,0.00024555426,0.0009265981,0.00008006265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026416604,0.0009341313,0.00088049506,0.0013351744,0.000721317,0.0027521139,0.0022965393,0.0012572699,0.0030162956],"category_scores_gemma":[0.0047426037,0.00047423775,0.0014769743,0.0026492972,0.0008691789,0.0049593644,0.001602356,0.0029050163,0.0011054403],"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":[0.000051114588,0.000088153836,0.0052286014,0.0010463716,0.00020389876,0.00016245314,0.00025887674,0.28802407,0.0017719086,0.30138242,0.030046651,0.37173545],"study_design_scores_gemma":[0.000027698692,0.000044438588,0.0017680302,0.00030808334,0.00011973031,0.0001509268,0.00017808065,0.5942505,0.0018539581,0.117122,0.28409746,0.0000791068],"about_ca_topic_score_codex":0.01661988,"about_ca_topic_score_gemma":0.0045457473,"teacher_disagreement_score":0.01661988,"about_ca_system_score_codex":0.0019438788,"about_ca_system_score_gemma":0.0027563612,"threshold_uncertainty_score":0.033046305},"labels":[],"label_agreement":null},{"id":"W2381603821","doi":"","title":"Present Situation and dynamic changes of Land Desertification in Chaoyang City","year":2007,"lang":"en","type":"article","venue":"Protection Forest Science and Technology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Forest Protection Limited (Canada)","funders":"","keywords":"Desertification; Geography; Environmental science; Physical geography; Environmental protection; Ecology; Biology","score_opus":0.017921294441084583,"score_gpt":0.23404879171565993,"score_spread":0.21612749727457534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381603821","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":[0.9991252,0.00011683416,0.0000441548,0.000046247536,9.4315186e-7,0.0000017570526,0.00013611067,0.0000028858933,0.0005258794],"genre_scores_gemma":[0.9996201,0.00008958535,0.000035058416,0.0000053135777,0.0000020203643,0.0000013143928,0.00014417358,3.484874e-7,0.00010216255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998809,0.000016796868,0.000011221133,0.000024291863,0.000024046847,0.000042718242],"domain_scores_gemma":[0.99967325,0.00003282439,0.000101671794,0.000013508733,0.000096582575,0.00008225596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020814093,0.000091300346,0.00014984555,0.0013806577,0.00048341,0.00054597505,0.00014347052,0.00023063883,0.0007523592],"category_scores_gemma":[0.00035021303,0.000096994445,0.0001163923,0.0016519545,0.0005004923,0.0003873417,0.0003324261,0.00016616771,0.00004804268],"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":[0.00006916964,0.000020322479,0.98896116,0.00002980197,0.000045922934,0.00037955388,0.0012400836,0.0006836154,0.0017603615,0.00041829923,0.00024074934,0.0061509577],"study_design_scores_gemma":[0.000001012924,0.000010687969,0.99835557,0.0000025352037,0.0000086605905,0.00008999044,0.0007736504,0.00021577661,0.00006853676,0.000030858988,0.00043790613,0.0000048552056],"about_ca_topic_score_codex":0.0834391,"about_ca_topic_score_gemma":0.14571132,"teacher_disagreement_score":0.0834391,"about_ca_system_score_codex":0.001489911,"about_ca_system_score_gemma":0.0006923533,"threshold_uncertainty_score":0.1659069},"labels":[],"label_agreement":null},{"id":"W2381678631","doi":"","title":"Discussion on Measures of Prevention and Control of the Four Pests by Planned Construction of Residential Quarter of Shalco","year":2003,"lang":"en","type":"article","venue":"Zhongguo meijie shengwuxue ji kongzhi zazhi","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Cockroach; Clearing; Toxicology; Environmental science; Environmental protection; Ecology; Geography; Business; Biology","score_opus":0.012560204726151304,"score_gpt":0.20368094822117758,"score_spread":0.19112074349502628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381678631","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":[0.46289638,0.07347326,0.024727024,0.25423014,0.010650113,0.0011029871,0.0014814807,0.0007605426,0.17067812],"genre_scores_gemma":[0.85081166,0.03644072,0.0183896,0.027878836,0.0025468348,0.0007471838,0.0011795479,0.00005864989,0.061946906],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994831,0.00018786902,0.000034615005,0.00005979123,0.00012597891,0.00010860516],"domain_scores_gemma":[0.99966335,0.000061013787,0.000047735466,0.000018901948,0.00012548789,0.000083459694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076575263,0.00045691247,0.00013545374,0.0005715292,0.00096747524,0.0005807005,0.00077347964,0.0014082058,0.00835423],"category_scores_gemma":[0.00074882497,0.00009288117,0.00040368814,0.00029551782,0.0006209458,0.0007586772,0.0006377496,0.0007368662,0.00041935817],"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":[0.0004571264,0.001037722,0.14845377,0.0066790353,0.000124191,0.004608488,0.012154649,0.0038064418,0.025091827,0.056960948,0.16497381,0.575652],"study_design_scores_gemma":[0.00005742356,0.0008590539,0.19234641,0.0016527295,0.00009014905,0.0012685956,0.026132654,0.0008462511,0.005124179,0.008690874,0.7628645,0.00006722425],"about_ca_topic_score_codex":0.007119002,"about_ca_topic_score_gemma":0.008367256,"teacher_disagreement_score":0.00835423,"about_ca_system_score_codex":0.0009677795,"about_ca_system_score_gemma":0.0023332082,"threshold_uncertainty_score":0.027947664},"labels":[],"label_agreement":null},{"id":"W2381880595","doi":"","title":"The Creation and Application of Urban Design System in Wuhan City","year":2010,"lang":"en","type":"article","venue":"Chengshi guihua huikan","topic":"Remote Sensing and Land Use","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":"Urban planning; Quarter (Canadian coin); Urban design; Environmental planning; Land-use planning; City block; China; Environmental design and planning; Site plan; Statutory law; Business system planning; Spatial planning; Urban morphology; Regional planning; Geography; Architectural engineering; Civil engineering; Business; Engineering; Political science; Land use; Process management","score_opus":0.012457143176741847,"score_gpt":0.20783207689873726,"score_spread":0.1953749337219954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381880595","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":[0.7379992,0.0023072977,0.058379017,0.0028137027,0.00014305381,0.00045905306,0.00023262769,0.00041041122,0.19725567],"genre_scores_gemma":[0.9378902,0.0010035536,0.035370328,0.00009325547,0.000019882445,0.00012882969,0.00012850061,0.0000632093,0.025302162],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986014,0.0005004433,0.000073387004,0.00021485364,0.00042159355,0.00018832582],"domain_scores_gemma":[0.99968255,0.000054044405,0.000027312284,0.000050670325,0.00013921622,0.000046281853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015566783,0.00024835224,0.0002135224,0.0019544053,0.0024171164,0.0021441325,0.00075678935,0.00043176528,0.002098816],"category_scores_gemma":[0.0013517091,0.00034647633,0.00033789952,0.0018796014,0.0018691729,0.001068719,0.0022293886,0.00050433114,0.00022035831],"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":[0.00008525775,0.00010260174,0.039371546,0.00040218042,0.000042676977,0.0013336912,0.026039673,0.016697586,0.011445176,0.40366307,0.007197909,0.4936186],"study_design_scores_gemma":[0.000038699814,0.00038093873,0.11634236,0.00029347008,0.00013852013,0.001588719,0.02300911,0.050259154,0.024243226,0.045837745,0.73758864,0.00027941502],"about_ca_topic_score_codex":0.05696409,"about_ca_topic_score_gemma":0.081384525,"teacher_disagreement_score":0.05696409,"about_ca_system_score_codex":0.008745876,"about_ca_system_score_gemma":0.0077899992,"threshold_uncertainty_score":0.11326504},"labels":[],"label_agreement":null},{"id":"W2382025082","doi":"","title":"Spatial Modeling of Land Use and Its Effects in China","year":2000,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Peter's Hospital","funders":"","keywords":"Geography; Distribution (mathematics); Land use; China; Agriculture; Population; Cultivated land; Arable land; Agroforestry; Physical geography; Environmental science; Ecology; Mathematics","score_opus":0.01143073942041165,"score_gpt":0.1891742931684921,"score_spread":0.17774355374808046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2382025082","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":[0.929529,0.0006365069,0.056174804,0.0005527958,0.00003769986,0.00006508575,0.0014209386,0.00040812694,0.011175077],"genre_scores_gemma":[0.99510044,0.0002473836,0.0023363237,0.0000114785025,0.0000055123014,0.000027246848,0.00023327667,0.000020217112,0.0020181504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997762,0.00007956752,0.000009706953,0.000048925504,0.00004727474,0.000038306276],"domain_scores_gemma":[0.9997998,0.0000804115,0.0000347328,0.000021868298,0.000043909135,0.000019363744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004604154,0.00044472786,0.00032260467,0.0007872596,0.00035994334,0.00062918477,0.00068085274,0.00027623636,0.0015332636],"category_scores_gemma":[0.0008038235,0.00027544267,0.0006617927,0.0013634403,0.00050896266,0.0007146901,0.0006546445,0.0002445292,0.00016818127],"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":[0.000021355225,0.000022989167,0.02603434,0.000023674942,0.000047591115,0.00012267701,0.0000853175,0.95848894,0.0005927842,0.0073165824,0.00036302098,0.006880757],"study_design_scores_gemma":[0.000006363543,0.000012570014,0.011038498,0.0000043133095,0.000015362713,0.000013642019,0.000040926585,0.98554534,0.00016523138,0.0020698074,0.0010815429,0.0000064162423],"about_ca_topic_score_codex":0.15393315,"about_ca_topic_score_gemma":0.08283815,"teacher_disagreement_score":0.15393315,"about_ca_system_score_codex":0.0023222365,"about_ca_system_score_gemma":0.0015433215,"threshold_uncertainty_score":0.30607438},"labels":[],"label_agreement":null},{"id":"W2382485842","doi":"","title":"A Subpixel Target Detection Approach Based on Endmember Extraction in Hyperspectral Image","year":2014,"lang":"en","type":"article","venue":"Science Technology and Engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Subpixel rendering; Endmember; Hyperspectral imaging; Principal component analysis; Pattern recognition (psychology); Artificial intelligence; Anomaly detection; Projection (relational algebra); Computer science; Subspace topology; Orthographic projection; Computer vision; Mathematics; Pixel; Algorithm","score_opus":0.0044693663055886705,"score_gpt":0.18239992423165308,"score_spread":0.1779305579260644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2382485842","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":[0.021117838,0.00026751184,0.9765139,0.00006233835,0.000055239416,0.00004600353,0.000051650106,0.0011236035,0.0007618988],"genre_scores_gemma":[0.12037304,0.00033232878,0.87605804,0.00009675774,0.00005587447,0.000087929715,0.00020546338,0.00009210104,0.0026984238],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999585,0.000040288625,0.000019678635,0.00013258318,0.00017957091,0.000042894015],"domain_scores_gemma":[0.9997569,0.000043260843,0.000025715695,0.000036557776,0.00011609487,0.000021425232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003499832,0.0009296094,0.0009970878,0.0015719233,0.00038730624,0.00069069286,0.00095396704,0.00082938885,0.0013205293],"category_scores_gemma":[0.00041702983,0.00039699808,0.00070481224,0.00089509774,0.00036400958,0.0014131226,0.00082454336,0.0006664377,0.0007777457],"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":[0.00014603732,0.00017815988,0.0018214817,0.00019292026,0.00010109981,0.00013371304,0.000104352635,0.01127201,0.27540982,0.0029359094,0.0016938332,0.7060107],"study_design_scores_gemma":[0.000025009547,0.00023457946,0.0053645596,0.000016236863,0.00009488196,0.0007237867,0.00007277385,0.8060335,0.17785552,0.0033323795,0.006170276,0.0000764877],"about_ca_topic_score_codex":0.0012667497,"about_ca_topic_score_gemma":0.0022054676,"teacher_disagreement_score":0.0015719233,"about_ca_system_score_codex":0.00024470783,"about_ca_system_score_gemma":0.000566833,"threshold_uncertainty_score":0.004417658},"labels":[],"label_agreement":null},{"id":"W2382701971","doi":"","title":"APPLICATION OF URBAN DESIGN IN RESIDENTIAL QUARTER PLANNING","year":2008,"lang":"en","type":"article","venue":"Chengshi guihua","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Urban design; Urban planning; China; Urbanism; Architectural engineering; Environmental planning; Engineering; Geography; Civil engineering; Architecture; Archaeology","score_opus":0.030274605125446163,"score_gpt":0.2267974489779417,"score_spread":0.19652284385249555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2382701971","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":[0.08883103,0.011343205,0.4975404,0.0066036456,0.0005955979,0.0002636925,0.00013307086,0.00043985,0.39424944],"genre_scores_gemma":[0.8407252,0.006936498,0.13024035,0.00040198085,0.00016189087,0.000118916345,0.000056774872,0.00008093884,0.021277482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987192,0.00082200154,0.00006227471,0.00009054378,0.00021754444,0.00008850759],"domain_scores_gemma":[0.99954575,0.00017815037,0.00004513721,0.00006883298,0.00013419463,0.000027937522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012624201,0.0004725897,0.00032914735,0.0014224647,0.0019051207,0.0018729853,0.0006753381,0.0006316728,0.004429318],"category_scores_gemma":[0.0012064679,0.00028742186,0.00058741117,0.0017835397,0.0038512254,0.0012735473,0.0017593689,0.0005307384,0.000303252],"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":[0.000037954636,0.00002854246,0.006870361,0.00061337696,0.00002140759,0.00054921856,0.00531724,0.040748015,0.0015210449,0.6898288,0.0045827376,0.2498813],"study_design_scores_gemma":[0.000021275873,0.00025850782,0.014727997,0.0007375595,0.00006061349,0.0014476916,0.009756903,0.05807202,0.0039802394,0.3258589,0.584967,0.00011132494],"about_ca_topic_score_codex":0.010663552,"about_ca_topic_score_gemma":0.021241583,"teacher_disagreement_score":0.010663552,"about_ca_system_score_codex":0.0038241565,"about_ca_system_score_gemma":0.002163846,"threshold_uncertainty_score":0.02774632},"labels":[],"label_agreement":null},{"id":"W2383329639","doi":"","title":"Improving the Long-term Climate Trend Using a Dynamical-statistical Method","year":2011,"lang":"en","type":"article","venue":"Bulletin of Science and Technology","topic":"Remote Sensing and Land Use","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":"Geopotential height; Climatology; Term (time); Environmental science; Meteorology; Statistical analysis; General Circulation Model; China; Climate change; Precipitation; Geography; Statistics; Mathematics; Geology","score_opus":0.021035488210636777,"score_gpt":0.2491462861220668,"score_spread":0.22811079791143002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2383329639","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16163066,0.00017483134,0.83539885,0.00013345356,0.00009505333,0.00004499483,0.0002981268,0.0010062226,0.0012178383],"genre_scores_gemma":[0.64275527,0.00023215763,0.35347095,0.000036090245,0.00010303603,0.000079998725,0.0013282143,0.00017474261,0.0018195077],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997608,0.000041652143,0.000025462878,0.0000793875,0.000067864945,0.000024821135],"domain_scores_gemma":[0.99929464,0.00019267635,0.00007596289,0.00006501404,0.0003490271,0.000022609298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076657283,0.0005248877,0.00040457345,0.0010609844,0.00038350435,0.00067325594,0.00039936134,0.00031034852,0.0010006083],"category_scores_gemma":[0.002457196,0.00023681874,0.0007219934,0.0010749712,0.00018593461,0.00080592924,0.00041460592,0.00050832535,0.0004187957],"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":[0.00022979733,0.00020702863,0.01335273,0.00015045833,0.00015898827,0.0001791728,0.0001370102,0.2693479,0.052656367,0.0055824514,0.0017909207,0.6562072],"study_design_scores_gemma":[0.000009635649,0.000033386546,0.004348791,0.0000037640295,0.000023489294,0.000017918434,0.000015728709,0.99010664,0.0042448365,0.00061490096,0.0005684209,0.000012569053],"about_ca_topic_score_codex":0.005697775,"about_ca_topic_score_gemma":0.0051537715,"teacher_disagreement_score":0.005697775,"about_ca_system_score_codex":0.00025534557,"about_ca_system_score_gemma":0.001042449,"threshold_uncertainty_score":0.011329234},"labels":[],"label_agreement":null},{"id":"W2383439563","doi":"","title":"A Study of Land Reclamation in China Based on Literature Data Statistics——Time,Area and Field Analysis","year":2013,"lang":"en","type":"article","venue":"ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS","topic":"Remote Sensing and Land Use","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":"Land reclamation; China; Status quo; Distribution (mathematics); Geography; Regional science; Statistical analysis; Environmental planning; Environmental resource management; Political science; Environmental science; Statistics; Mathematics; Archaeology","score_opus":0.008829757468449294,"score_gpt":0.18709381259816532,"score_spread":0.17826405512971602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2383439563","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":[0.91609555,0.05507673,0.0014172554,0.000968643,0.0000690954,0.00089399,0.013556571,0.000075200594,0.011847053],"genre_scores_gemma":[0.95675886,0.027955042,0.0036435185,0.00015673276,0.00007450945,0.0006288235,0.008922204,0.000012571,0.001847777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955395,0.00059999723,0.0012669205,0.00047009287,0.0018589476,0.0002645294],"domain_scores_gemma":[0.9847073,0.006316358,0.0033961413,0.00035366992,0.004872641,0.00035401227],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004795779,0.00050690304,0.000721992,0.06814578,0.0013305614,0.0020816815,0.0006281431,0.00035912773,0.0026607749],"category_scores_gemma":[0.009917232,0.0002883864,0.000870761,0.07317143,0.00065999065,0.0017653712,0.0007855806,0.00019613514,0.00026530237],"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":[0.0003042904,0.00020414186,0.6091904,0.028691357,0.0007869682,0.0025794238,0.01727714,0.0014954671,0.0043358286,0.0036319913,0.0066701705,0.32483283],"study_design_scores_gemma":[0.000022373319,0.00025518125,0.95073706,0.0039747697,0.00080366025,0.0007733156,0.01677996,0.001407643,0.0017835976,0.00045119232,0.022951124,0.000060191738],"about_ca_topic_score_codex":0.026199872,"about_ca_topic_score_gemma":0.04016818,"teacher_disagreement_score":0.93185425,"about_ca_system_score_codex":0.004078923,"about_ca_system_score_gemma":0.009746196,"threshold_uncertainty_score":0.052094758},"labels":[],"label_agreement":null},{"id":"W2383567664","doi":"","title":"Research on Multi-spectral Image Classification Using Neural Network Based on PSO","year":2008,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Artificial neural network; Particle swarm optimization; Computer science; Artificial intelligence; Backpropagation; Pattern recognition (psychology); Convergence (economics); Contextual image classification; Image (mathematics); Machine learning","score_opus":0.21197246838846565,"score_gpt":0.34514235101887913,"score_spread":0.1331698826304135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2383567664","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037880514,0.0018841609,0.95496714,0.00041444862,0.0001269215,0.000035915167,0.00001740913,0.00027853463,0.0043949536],"genre_scores_gemma":[0.639877,0.0024823633,0.3530033,0.00016716807,0.00017260965,0.00009906865,0.00007940539,0.000051821873,0.004067173],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995696,0.00011634441,0.000027245,0.000083841944,0.00017411067,0.000028778291],"domain_scores_gemma":[0.9993666,0.00032567544,0.000048766484,0.00004101571,0.00019936127,0.000018696734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082286727,0.0004137462,0.0006482225,0.00065815024,0.00024980493,0.00082946947,0.00052886794,0.0007762186,0.0008221552],"category_scores_gemma":[0.0019493307,0.00022762903,0.0005021268,0.0007379548,0.00036927796,0.0017935777,0.00025145395,0.0005684407,0.00021024523],"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":[0.00017234022,0.00020870638,0.0043742317,0.0005406294,0.00020637561,0.00023626132,0.00020443182,0.46072528,0.030933231,0.022791633,0.0016162662,0.47799054],"study_design_scores_gemma":[0.0000071673517,0.000029463617,0.0005452434,0.000009215006,0.000010945971,0.000038780123,0.000013156188,0.9936911,0.002992532,0.0018658182,0.0007896119,0.000007030606],"about_ca_topic_score_codex":0.0020179534,"about_ca_topic_score_gemma":0.0012371441,"teacher_disagreement_score":0.0020179534,"about_ca_system_score_codex":0.0003680377,"about_ca_system_score_gemma":0.00030916583,"threshold_uncertainty_score":0.0043517947},"labels":[],"label_agreement":null},{"id":"W2384205974","doi":"","title":"Study on Changes of Ecosystem System Services Value in Hanyin County","year":2011,"lang":"en","type":"article","venue":"Ground Water","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Ecosystem services; Value (mathematics); Ecosystem; Environmental resource management; Geography; Business; Environmental science; Ecology; Statistics; Mathematics","score_opus":0.03322317806470751,"score_gpt":0.1970138547773243,"score_spread":0.1637906767126168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2384205974","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":[0.9997359,0.000015614547,0.000016682008,0.000009574173,6.029122e-7,0.000001142698,0.000068838395,5.570738e-7,0.00015101332],"genre_scores_gemma":[0.99960643,0.000021024221,0.00003329494,0.0000032090243,9.592512e-7,0.0000022951344,0.0001468942,3.588561e-7,0.00018552157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999106,0.0000109018465,0.0000045070674,0.000021859669,0.000019432753,0.000032716725],"domain_scores_gemma":[0.9998487,0.000019288738,0.000041885974,0.000008942771,0.000044104596,0.000037039124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016941043,0.00009277945,0.00012795742,0.0005285023,0.00030028063,0.00027817363,0.00017105308,0.00010833141,0.00049190706],"category_scores_gemma":[0.00031486363,0.00008976858,0.0001245304,0.0008677226,0.00016217859,0.00022632212,0.00027760453,0.00017176813,0.000034443972],"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":[0.000027555634,0.00003558317,0.993651,0.000013531335,0.000027800506,0.00028127606,0.00082471577,0.00033554764,0.000556112,0.00015445573,0.00024432075,0.0038481152],"study_design_scores_gemma":[0.0000015498542,0.00001291536,0.9978263,0.0000018528851,0.0000075042353,0.00004562242,0.00097333995,0.0005811197,0.000080863305,0.000017579418,0.00044942467,0.000001924725],"about_ca_topic_score_codex":0.06175713,"about_ca_topic_score_gemma":0.13567168,"teacher_disagreement_score":0.06175713,"about_ca_system_score_codex":0.0009404868,"about_ca_system_score_gemma":0.00065571105,"threshold_uncertainty_score":0.122795284},"labels":[],"label_agreement":null},{"id":"W2384329922","doi":"","title":"Composite model of multi-dimension multi-box model and Gauss model for atmospheric capacity study","year":2007,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Remote Sensing and Land Use","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":"Beijing; Pollutant; Air quality index; Environmental science; Box model; Meteorology; Atmospheric model; Geography","score_opus":0.0430628417705466,"score_gpt":0.23941915521578008,"score_spread":0.19635631344523347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2384329922","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":[0.06232159,0.00085754483,0.91856444,0.0005634825,0.00033796876,0.00012550042,0.00080224377,0.0007075295,0.015719729],"genre_scores_gemma":[0.90391636,0.0009364245,0.07486714,0.00020004381,0.00021589563,0.0005067791,0.0011293701,0.00029129782,0.017936612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938416,0.00019189627,0.000029217952,0.00014993004,0.00014705874,0.00009782407],"domain_scores_gemma":[0.99919075,0.00032759417,0.00010407709,0.00005699028,0.00024404957,0.000076460376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007782184,0.0011200844,0.0011428675,0.00085254153,0.0008039943,0.0015696641,0.0024128177,0.0015487788,0.004496014],"category_scores_gemma":[0.0017771841,0.0005696657,0.0020673326,0.0009403519,0.00077329425,0.0019300339,0.0013153207,0.0017214089,0.0006574945],"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":[0.000030077012,0.000025048694,0.0014334839,0.000038638398,0.000037447302,0.00006661902,0.000044858447,0.9804166,0.00046563827,0.013714647,0.0006463754,0.00308061],"study_design_scores_gemma":[0.0000046675673,0.000005796734,0.00011018754,0.0000025011054,0.0000055555906,0.00000640933,0.000005644214,0.9978388,0.000072024835,0.001388231,0.00055454933,0.0000056813583],"about_ca_topic_score_codex":0.034984533,"about_ca_topic_score_gemma":0.01301937,"teacher_disagreement_score":0.034984533,"about_ca_system_score_codex":0.0011265122,"about_ca_system_score_gemma":0.001626415,"threshold_uncertainty_score":0.06956178},"labels":[],"label_agreement":null},{"id":"W2384351626","doi":"","title":"Relationship Between Urban Thermal Distribution and NDVI of Shanghai City","year":2007,"lang":"en","type":"article","venue":"Journal of Jishou University","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"L'Alliance Boviteq","funders":"","keywords":"Normalized Difference Vegetation Index; Urban heat island; Distribution (mathematics); Spatial distribution; Remote sensing; Ring road; Environmental science; Geography; Physical geography; Meteorology; Mathematics; Geology; Climate change; Archaeology","score_opus":0.02475225851195982,"score_gpt":0.2087896450682269,"score_spread":0.18403738655626706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2384351626","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":[0.99811184,0.00006177778,0.00025801247,0.00001423497,0.0000022789616,0.0000022231147,0.00041728865,0.000024297498,0.0011080166],"genre_scores_gemma":[0.99897635,0.000024004641,0.000086050706,0.0000025455188,0.0000016230066,0.0000018152801,0.0004429517,0.0000022999918,0.0004622857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992824,0.000010672573,0.0000062488707,0.000016289521,0.000021624921,0.000017060987],"domain_scores_gemma":[0.9997569,0.000050289334,0.000057464218,0.000021008505,0.000072071256,0.000042300395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011522088,0.00013682131,0.000086705775,0.000541109,0.00011668556,0.00032602833,0.00007194453,0.000065602,0.0016367721],"category_scores_gemma":[0.00035742967,0.000099100835,0.000103358056,0.00055472966,0.00011513587,0.000120262324,0.0001164166,0.00007607847,0.0002037593],"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":[0.00009357804,0.000013167246,0.990053,0.00001636641,0.000050906714,0.00007283098,0.00014066845,0.0019709778,0.0022612512,0.00014567928,0.00042594617,0.0047555566],"study_design_scores_gemma":[0.0000015536139,0.000009011718,0.9979753,0.0000011448859,0.000007246149,0.000031084932,0.000051182982,0.0013666829,0.0002552444,0.000024597712,0.000274392,0.000002703057],"about_ca_topic_score_codex":0.022567844,"about_ca_topic_score_gemma":0.025495928,"teacher_disagreement_score":0.022567844,"about_ca_system_score_codex":0.00039759118,"about_ca_system_score_gemma":0.00013895177,"threshold_uncertainty_score":0.04487294},"labels":[],"label_agreement":null},{"id":"W2384405226","doi":"","title":"Anomaly Detection Algorithm Based on NSCT Decomposition in Hyperspectral Imagery","year":2014,"lang":"en","type":"article","venue":"Infrared Technology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Hyperspectral imaging; Residual; Anomaly detection; Artificial intelligence; Transformation (genetics); Computer science; Anomaly (physics); Pattern recognition (psychology); Remote sensing; Decomposition; Computer vision; Algorithm; Geology; Physics","score_opus":0.004632572085888286,"score_gpt":0.20272718302000955,"score_spread":0.19809461093412126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2384405226","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":[0.033061296,0.00013394888,0.96451914,0.00007191133,0.000056411936,0.000044462304,0.00006355389,0.0013714919,0.00067784963],"genre_scores_gemma":[0.27758932,0.00026584885,0.71846694,0.00005455813,0.00006519692,0.000107392356,0.00047102344,0.00011990256,0.0028597638],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994746,0.000039120496,0.00003286513,0.000121691424,0.00028974388,0.000041923166],"domain_scores_gemma":[0.999448,0.00006385659,0.000059844126,0.000045019522,0.00035742924,0.000025881005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004446954,0.0005879533,0.00072319916,0.0010538338,0.0003332165,0.0006317168,0.0007118969,0.00049042195,0.0008221799],"category_scores_gemma":[0.00079450326,0.00026435073,0.00047823024,0.00084628543,0.00031967685,0.0010760418,0.0004787153,0.0007412498,0.0004315291],"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":[0.00017536557,0.00012530744,0.004132225,0.00014694798,0.00008645178,0.00019354043,0.00012544135,0.05730183,0.18184924,0.0051182536,0.0030253346,0.74772006],"study_design_scores_gemma":[0.000015303372,0.00008634191,0.0036181605,0.000008178232,0.000025121488,0.0003347207,0.000027836615,0.93624914,0.054524027,0.0015989325,0.0034826582,0.000029512235],"about_ca_topic_score_codex":0.0020447741,"about_ca_topic_score_gemma":0.0018955185,"teacher_disagreement_score":0.0020447741,"about_ca_system_score_codex":0.00034526802,"about_ca_system_score_gemma":0.0008102209,"threshold_uncertainty_score":0.0040658116},"labels":[],"label_agreement":null},{"id":"W2384432305","doi":"","title":"Prediction and Analysis for the Disaster Area of Crops in Our Country by SAS System","year":2001,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Discovery Air (Canada)","funders":"","keywords":"Regression analysis; Time series; Statistics; Mathematics","score_opus":0.015072330481776995,"score_gpt":0.19977826841839288,"score_spread":0.18470593793661588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2384432305","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":[0.80781215,0.00013135036,0.1847414,0.00029159588,0.000055019056,0.00005935168,0.0028100905,0.0016297714,0.0024693613],"genre_scores_gemma":[0.95649624,0.00012515052,0.03971881,0.000021554446,0.000019117428,0.000055687513,0.0020823996,0.000050051345,0.0014308778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997596,0.00008538935,0.000018721325,0.00005013633,0.000053612617,0.00003246911],"domain_scores_gemma":[0.9993006,0.00031263346,0.000096156145,0.00006210356,0.00019465428,0.00003384633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005102229,0.0003647161,0.00023435023,0.0008514119,0.00017356945,0.00021943724,0.00021688188,0.00022957782,0.0017493323],"category_scores_gemma":[0.0016439869,0.000114050476,0.00051645783,0.0007229986,0.00010627513,0.00037053172,0.00018994004,0.00040005008,0.0004031628],"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":[0.00038019475,0.00020528989,0.26550663,0.0001589233,0.00025203452,0.00037224617,0.00023094949,0.5667796,0.011414935,0.0027461082,0.0087177595,0.14323531],"study_design_scores_gemma":[0.0000156612,0.00011182627,0.054106236,0.0000059459203,0.00004794183,0.00007344231,0.00010101053,0.93860376,0.00493997,0.00089368416,0.0010821001,0.00001847233],"about_ca_topic_score_codex":0.011089477,"about_ca_topic_score_gemma":0.009088961,"teacher_disagreement_score":0.011089477,"about_ca_system_score_codex":0.00019212854,"about_ca_system_score_gemma":0.00024113897,"threshold_uncertainty_score":0.022049844},"labels":[],"label_agreement":null},{"id":"W2384655664","doi":"","title":"Development and Research of the Hand-hold GPS Woodland Mapping Automatic Space Positioning Maps System Software","year":2006,"lang":"en","type":"article","venue":"Central South Forest Inventory and Planning","topic":"Remote Sensing and Land Use","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":"Global Positioning System; Woodland; Computer science; Software; Space (punctuation); Geographic information system; Work (physics); Geography; Cartography; Engineering; Telecommunications; Ecology; Operating system","score_opus":0.03689160125658446,"score_gpt":0.22845744888927796,"score_spread":0.19156584763269352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2384655664","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07222223,0.00047452137,0.8896722,0.0002885819,0.00015044094,0.001179591,0.0016964135,0.012616982,0.021699134],"genre_scores_gemma":[0.18105918,0.0005451495,0.7741265,0.00015278769,0.000059172788,0.00056294596,0.006631214,0.002046198,0.03481685],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990964,0.000119275246,0.00004330827,0.0001619934,0.0005156046,0.000063358086],"domain_scores_gemma":[0.99807477,0.00021819191,0.000052381092,0.00015697845,0.0014086461,0.00008903817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017547114,0.00054180244,0.00041007044,0.001811291,0.00051717536,0.00085416366,0.0012641847,0.00025567616,0.006377086],"category_scores_gemma":[0.0029579648,0.00038029742,0.0004312663,0.0011551556,0.00030970477,0.0012628861,0.00039189306,0.00056524633,0.0018255684],"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":[0.00020736245,0.00017253528,0.012542009,0.00036631976,0.00006990582,0.00037183837,0.0009246663,0.016126426,0.080705516,0.012327525,0.016333627,0.8598523],"study_design_scores_gemma":[0.0003829023,0.0008373706,0.06063596,0.0003000068,0.00024477087,0.0012695335,0.0008207602,0.4002709,0.2273787,0.004980273,0.3026747,0.00020417248],"about_ca_topic_score_codex":0.05372153,"about_ca_topic_score_gemma":0.029526327,"teacher_disagreement_score":0.05372153,"about_ca_system_score_codex":0.0009867108,"about_ca_system_score_gemma":0.0034586901,"threshold_uncertainty_score":0.10681766},"labels":[],"label_agreement":null},{"id":"W2385031058","doi":"","title":"A Study on the Summer Characteristics of Urban Heat Island in Hefei","year":2005,"lang":"en","type":"article","venue":"Nanjing Qixiang Xueyuan xuebao","topic":"Remote Sensing and Land Use","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":"Microclimate; Urban heat island; Diurnal temperature variation; Intensity (physics); Environmental science; Latitude; Climatology; Period (music); Variation (astronomy); Sunrise; Air temperature; Atmospheric sciences; Physical geography; Meteorology; Geography; Geology","score_opus":0.02890961494947192,"score_gpt":0.23529141242605825,"score_spread":0.20638179747658633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385031058","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":[0.99945444,0.000026058326,0.000065756554,0.000007587536,9.77775e-7,0.0000031464565,0.00007773498,0.0000015888028,0.00036285073],"genre_scores_gemma":[0.9994436,0.000039683517,0.00009216159,0.0000045595,0.0000049688033,0.0000051031507,0.00021145932,0.000001130697,0.00019732953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999217,0.000015952959,0.000004394534,0.000014030265,0.000013745754,0.000030257435],"domain_scores_gemma":[0.9997745,0.00003180106,0.000053336957,0.000011080395,0.000054336157,0.00007490263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017041329,0.00016707377,0.00017711223,0.0008427427,0.00047447035,0.00024588915,0.00009887391,0.00014886346,0.00060259417],"category_scores_gemma":[0.00025947546,0.000099119454,0.00013838004,0.0009812452,0.00018728957,0.00022402727,0.00014699661,0.00011705087,0.0001065169],"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":[0.00013124125,0.000055376462,0.9809347,0.000034903456,0.000029038873,0.00026687537,0.00249334,0.00026267747,0.005185836,0.000077535056,0.0002371107,0.0102914255],"study_design_scores_gemma":[3.462113e-7,0.000022043141,0.9992034,8.471195e-7,0.0000019728716,0.000047771737,0.00039308026,0.00009811018,0.00007952626,0.000004820414,0.00014674621,0.0000013937632],"about_ca_topic_score_codex":0.019801242,"about_ca_topic_score_gemma":0.041890293,"teacher_disagreement_score":0.019801242,"about_ca_system_score_codex":0.00044865016,"about_ca_system_score_gemma":0.00026456683,"threshold_uncertainty_score":0.039371967},"labels":[],"label_agreement":null},{"id":"W2385169382","doi":"","title":"The oil formation core analysis and protection in Sadong transition experiment area","year":2002,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Permeability (electromagnetism); Petroleum engineering; Chemistry; Mineralogy; Geology","score_opus":0.03288832476578858,"score_gpt":0.19978327524120454,"score_spread":0.16689495047541597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385169382","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":[0.9994881,0.0000114922195,0.00023259988,0.0000027240085,4.018875e-7,0.000003818767,0.000050766386,0.0000032428343,0.00020679951],"genre_scores_gemma":[0.99928397,0.00001259821,0.00038633126,0.0000022056197,2.5003064e-7,0.0000030983288,0.000102265825,0.0000014618868,0.00020772315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999579,0.0000045905804,0.0000024429917,0.000013403921,0.000009448796,0.000012262345],"domain_scores_gemma":[0.99992085,0.000010103513,0.000012098296,0.0000055263195,0.00003617251,0.000015331823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093820396,0.00011001642,0.0001115371,0.00038003374,0.00022727944,0.00013989049,0.000103514794,0.000079487465,0.0002878933],"category_scores_gemma":[0.00012979905,0.0000944301,0.00014335812,0.00027686733,0.00014319309,0.0001393125,0.00017460808,0.00006966632,0.00004248704],"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":[0.0010025577,0.00010484512,0.5298862,0.00010470365,0.000050623068,0.0005433832,0.00090819836,0.0033778981,0.44137982,0.00030582302,0.0001856144,0.02215033],"study_design_scores_gemma":[0.000016911225,0.00013760543,0.94529665,0.000003819618,0.000031114057,0.000118389005,0.0003684732,0.006589658,0.0465225,0.000048985712,0.00085677777,0.00000906027],"about_ca_topic_score_codex":0.057328608,"about_ca_topic_score_gemma":0.111855865,"teacher_disagreement_score":0.057328608,"about_ca_system_score_codex":0.0003871881,"about_ca_system_score_gemma":0.00029990327,"threshold_uncertainty_score":0.11398983},"labels":[],"label_agreement":null},{"id":"W2385320944","doi":"","title":"An Improved Text Classification Results of the Improved Manifold Learning Algorithm","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Nonlinear dimensionality reduction; Embedding; Manifold (fluid mechanics); Construct (python library); Artificial intelligence; Euclidean geometry; Categorization; Text categorization; Algorithm; Field (mathematics); Pattern recognition (psychology); Euclidean distance; Manifold alignment; Machine learning; Mathematics; Dimensionality reduction","score_opus":0.018103053930540854,"score_gpt":0.2088445108169113,"score_spread":0.19074145688637045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385320944","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10743985,0.0013487259,0.8808069,0.0006363273,0.00048378092,0.0001378491,0.00036097458,0.003800088,0.004985446],"genre_scores_gemma":[0.5095796,0.00082592433,0.4756397,0.00022376457,0.00044572214,0.000206147,0.0019700676,0.00030746675,0.0108015835],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820685,0.0003369735,0.00014780843,0.00049363734,0.0007037418,0.00011094734],"domain_scores_gemma":[0.99791545,0.0004237,0.0001036305,0.00038656365,0.0011155149,0.0000551273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009848817,0.00080382585,0.0012666845,0.0018661604,0.00075548986,0.00078057573,0.00094944553,0.0011111441,0.0037439263],"category_scores_gemma":[0.0056859283,0.0001555896,0.0010721806,0.0016116864,0.00044975424,0.003120321,0.00065977586,0.0008637243,0.0016612413],"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":[0.00046356142,0.0002074058,0.002879598,0.00021977544,0.0001554509,0.00020790147,0.00018849444,0.095026486,0.028650464,0.010228055,0.012872674,0.8489001],"study_design_scores_gemma":[0.000052360978,0.000115209376,0.0018326235,0.0000072889247,0.000047157857,0.00016488272,0.000038908183,0.9736343,0.01361189,0.006244042,0.0042106863,0.000040751325],"about_ca_topic_score_codex":0.0040526516,"about_ca_topic_score_gemma":0.002405577,"teacher_disagreement_score":0.0040526516,"about_ca_system_score_codex":0.0005440924,"about_ca_system_score_gemma":0.00063744484,"threshold_uncertainty_score":0.012524664},"labels":[],"label_agreement":null},{"id":"W2385395265","doi":"","title":"Analysis on Curl Characteristics and Hereditary of Rice Leaf","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Backcrossing; Biology; Trait; Degree (music); Rice plant; Horticulture; Botany; Agronomy; Gene; Physics; Genetics","score_opus":0.019152990745812285,"score_gpt":0.1976139207905573,"score_spread":0.17846093004474503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385395265","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":[0.9986319,0.000048923877,0.0005079149,0.0000050002773,0.0000012305105,0.000005811359,0.00035705825,0.000023900988,0.00041819963],"genre_scores_gemma":[0.9939374,0.00006395956,0.00090215297,0.00002001212,0.0000022070583,0.000019040019,0.0014567517,0.000040914605,0.003557478],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99990714,0.000007446947,0.000006903346,0.000035299297,0.000025029041,0.000018130519],"domain_scores_gemma":[0.999777,0.00003131399,0.000065968,0.000027335765,0.00003709589,0.00006123052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010766696,0.00023419452,0.00016982268,0.00071188743,0.00017261617,0.00014595607,0.00009249105,0.00010579262,0.0011437999],"category_scores_gemma":[0.00014361918,0.00010164757,0.00022948984,0.00024803396,0.000102109414,0.00009884742,0.00014678833,0.00020883032,0.00025125578],"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":[0.00006126664,0.000016229196,0.011941323,0.000013332038,0.000007882873,0.000084389416,0.00010089203,0.00002361323,0.9858074,0.000017693588,0.000017204404,0.0019088424],"study_design_scores_gemma":[0.000006442353,0.0002325502,0.8429692,0.0000029894024,0.000035773024,0.0007913703,0.000094142284,0.00040785462,0.15414721,0.000029781299,0.0012659383,0.000016690827],"about_ca_topic_score_codex":0.001958735,"about_ca_topic_score_gemma":0.004496132,"teacher_disagreement_score":0.001958735,"about_ca_system_score_codex":0.00027896985,"about_ca_system_score_gemma":0.00013771752,"threshold_uncertainty_score":0.003894627},"labels":[],"label_agreement":null},{"id":"W2385552135","doi":"","title":"Response of Plant Functional Traits to Environment and Its Application","year":2008,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Functional ecology; Ecosystem; Ecology; Biology; Trait; Environmental science; Computer science","score_opus":0.01931590103385784,"score_gpt":0.17570368217007185,"score_spread":0.15638778113621402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385552135","genre_codex":"review","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":[0.38408798,0.5066519,0.06494921,0.0030859527,0.0005015011,0.000118442724,0.0028154461,0.0002978161,0.037491802],"genre_scores_gemma":[0.8286447,0.1468695,0.018841844,0.0006448424,0.00030102598,0.000094903415,0.0008246181,0.00003674641,0.003741914],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996282,0.00014942302,0.00002877803,0.00008996553,0.00008786003,0.0000158755],"domain_scores_gemma":[0.99928683,0.00043750065,0.00009866975,0.000037116162,0.00012310674,0.00001691797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009835243,0.00036101913,0.0004471854,0.0014191666,0.000119014396,0.0005615052,0.00036322666,0.0003941106,0.00093410106],"category_scores_gemma":[0.0013048098,0.00010526062,0.0004188432,0.0013433613,0.00033328927,0.00033894455,0.00027844135,0.0003311198,0.00029244513],"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":[0.00036440682,0.000106680185,0.11127311,0.004161252,0.0005346125,0.00075433654,0.00038595556,0.011259231,0.087901846,0.009090392,0.002401219,0.77176696],"study_design_scores_gemma":[0.000019867732,0.0013985217,0.77538776,0.0010061504,0.0006421581,0.0054546,0.0006564198,0.019725464,0.038235217,0.021383062,0.13588591,0.00020475475],"about_ca_topic_score_codex":0.0013139654,"about_ca_topic_score_gemma":0.0008054962,"teacher_disagreement_score":0.0014191666,"about_ca_system_score_codex":0.00037141767,"about_ca_system_score_gemma":0.00017663109,"threshold_uncertainty_score":0.0052013993},"labels":[],"label_agreement":null},{"id":"W2385897820","doi":"","title":"Color Image Face Detection Based on AdaBoost Algorithm","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; AdaBoost; Pattern recognition (psychology); Computer vision; Color image; Color balance; Face detection; Image (mathematics); Face (sociological concept); Color histogram; Gray (unit); Facial recognition system; Image processing; Classifier (UML)","score_opus":0.01245960122673719,"score_gpt":0.1918817049902764,"score_spread":0.1794221037635392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385897820","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":[0.031166578,0.00039716382,0.96411663,0.000101992526,0.00018695019,0.00011948664,0.000045679524,0.001756974,0.00210855],"genre_scores_gemma":[0.422941,0.00038185963,0.57045877,0.00016641247,0.00014726535,0.0002323322,0.00017662272,0.000118131575,0.0053776475],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990601,0.00013336835,0.00003667556,0.00021217778,0.0004488121,0.00010888041],"domain_scores_gemma":[0.9993318,0.00013720186,0.000044004966,0.000030919375,0.00042709138,0.00002898502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009632894,0.0007687265,0.0012192561,0.001695189,0.00058041885,0.0008271458,0.0012522854,0.000958332,0.001567735],"category_scores_gemma":[0.0013622579,0.00035870858,0.00073903083,0.00079889817,0.00040312883,0.0009021496,0.000389984,0.0008652552,0.0006837372],"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":[0.00039868968,0.00030002944,0.0027155923,0.00014857961,0.00014942125,0.00007720634,0.0000711951,0.058345687,0.030621897,0.0033655793,0.004128674,0.89967746],"study_design_scores_gemma":[0.00002522568,0.00009966555,0.0017403098,0.000011111494,0.00003395179,0.00014268987,0.000022587994,0.97910744,0.015159332,0.0015609902,0.002066331,0.00003029854],"about_ca_topic_score_codex":0.0045938813,"about_ca_topic_score_gemma":0.0027132882,"teacher_disagreement_score":0.0045938813,"about_ca_system_score_codex":0.0006476732,"about_ca_system_score_gemma":0.00073749956,"threshold_uncertainty_score":0.009134293},"labels":[],"label_agreement":null},{"id":"W2385921000","doi":"","title":"A STUDY ON THE LANDSCAPE PLANNING OF PARTS OF YANGTZE RIVER IN NANJING'S WATER FRONT","year":2006,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","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":"Geography; China; Tourism; Natural landscape; Yangtze river; Plan (archaeology); Natural (archaeology); Urban planning; Cliff; Sustainable development; Quarter (Canadian coin); Archaeology; Landscape architecture; Civil engineering; Ecology; Engineering","score_opus":0.02003709859348264,"score_gpt":0.2105640272622212,"score_spread":0.19052692866873855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385921000","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":[0.99381715,0.000074029645,0.0000812983,0.00025772536,0.0000041965295,0.00001483114,0.000031594023,0.0000019126767,0.0057172384],"genre_scores_gemma":[0.99731904,0.00018026486,0.00016138617,0.00003921927,0.0000025565616,0.000014629281,0.000040193692,0.0000016769362,0.0022409232],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998785,0.000040850042,0.000004425031,0.00001877324,0.000018023084,0.000039485712],"domain_scores_gemma":[0.9999049,0.000019683883,0.000014911733,0.000004685974,0.000016119646,0.00003971713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019729296,0.00012722731,0.00010119071,0.0007222298,0.0029895653,0.0010297823,0.0003245859,0.00025357478,0.002397163],"category_scores_gemma":[0.00027054775,0.00016333975,0.00016716843,0.0013923383,0.0009149941,0.00081106485,0.00068838854,0.00034989978,0.000066741595],"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":[0.000035744593,0.00016240278,0.40674025,0.00019205545,0.000018910665,0.0034798,0.5298523,0.00057913485,0.002569502,0.007765976,0.005204815,0.043399096],"study_design_scores_gemma":[0.0000030149977,0.000054092598,0.48741975,0.000045252295,0.000008696946,0.00029837847,0.48804885,0.00025832086,0.00013814135,0.00028552095,0.023427926,0.000011988024],"about_ca_topic_score_codex":0.0686181,"about_ca_topic_score_gemma":0.2674288,"teacher_disagreement_score":0.0686181,"about_ca_system_score_codex":0.00252845,"about_ca_system_score_gemma":0.0016393695,"threshold_uncertainty_score":0.13643736},"labels":[],"label_agreement":null},{"id":"W2385966476","doi":"","title":"Develop and Import High tech Products, Bring about Sustainable Development of Agriculture","year":2003,"lang":"en","type":"article","venue":"China Environmental Protection Industry","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Discovery Air (Canada)","funders":"","keywords":"Agriculture; Business; Sustainable development; Green food; High tech; Environmental pollution; Sustainable agriculture; Environmental protection; Food safety; Pollution; Natural resource economics; Environmental planning; Environmental science; Economics; Geography; Political science; Chemistry; Food science; Ecology; Raw material","score_opus":0.006671801524867545,"score_gpt":0.16128933766066517,"score_spread":0.15461753613579762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385966476","genre_codex":"other","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":[0.11488398,0.028771898,0.056470934,0.020082694,0.0030187592,0.00036276554,0.0006647128,0.00084627594,0.774898],"genre_scores_gemma":[0.45332918,0.03134412,0.10222881,0.004619529,0.0011688445,0.0001881256,0.00075956463,0.0002576667,0.40610418],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997197,0.000041909017,0.000015705664,0.00004352391,0.00013110097,0.000048033256],"domain_scores_gemma":[0.9997315,0.000042579155,0.00004099349,0.00004277443,0.0000945581,0.00004769985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005763439,0.00045323776,0.00014456143,0.0008578271,0.00096841,0.0025201808,0.00027442272,0.0008277735,0.011287872],"category_scores_gemma":[0.00095268997,0.00016176577,0.00033423209,0.00078972714,0.0008819716,0.0020388744,0.0012261034,0.0009144521,0.0039293896],"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":[0.00008758977,0.00017068298,0.009963806,0.00094658043,0.00003624401,0.00066835614,0.0020611205,0.00080432056,0.029934175,0.23223388,0.053546816,0.6695463],"study_design_scores_gemma":[0.000017031856,0.000107371205,0.005535542,0.0001221867,0.000019832169,0.0003899722,0.00062423584,0.0002539101,0.011959542,0.018480197,0.9624759,0.000014106526],"about_ca_topic_score_codex":0.0020404388,"about_ca_topic_score_gemma":0.004475252,"teacher_disagreement_score":0.011287872,"about_ca_system_score_codex":0.0012045027,"about_ca_system_score_gemma":0.0019380519,"threshold_uncertainty_score":0.03776169},"labels":[],"label_agreement":null},{"id":"W2386380880","doi":"","title":"Comparative Study of Ecological Effects and Management Countermeasures on Urban Green Space between Shanghai and London","year":2000,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"CAE (Canada)","funders":"","keywords":"Urban green space; Space (punctuation); Geography; Environmental planning; Civil engineering; Environmental resource management; Ecology; Engineering; Computer science; Environmental science","score_opus":0.02065394115523865,"score_gpt":0.23620494246648197,"score_spread":0.21555100131124333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2386380880","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":[0.9978064,0.0002455831,0.000066748864,0.00003765492,0.0000017439661,0.0000027513238,0.00007233962,0.000004621295,0.0017622616],"genre_scores_gemma":[0.99940395,0.00010468159,0.00003794575,0.0000048170245,0.0000016440761,0.0000015311881,0.000055230863,0.0000012088565,0.00038893282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995647,0.00015041647,0.00002793408,0.000034004963,0.00010858327,0.00011438553],"domain_scores_gemma":[0.99902403,0.00018368167,0.00037727185,0.0000504971,0.00023860524,0.00012580327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003304906,0.00012974312,0.0001306874,0.0012154486,0.0003302667,0.0006053621,0.0001506158,0.00008802926,0.00073090824],"category_scores_gemma":[0.00089710427,0.00007416254,0.00011233829,0.0015960603,0.0005005899,0.0002421714,0.0004604898,0.00008731887,0.00009025078],"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":[0.0008264595,0.000033894077,0.93068177,0.00026717735,0.00015464575,0.0015142607,0.013439713,0.0021810844,0.006745176,0.0022350135,0.0007805525,0.04114021],"study_design_scores_gemma":[0.0000048735196,0.000092108145,0.9918548,0.00001128405,0.000035437813,0.00008383463,0.0038448786,0.00019017265,0.0007408615,0.000019264045,0.0031163231,0.0000061978612],"about_ca_topic_score_codex":0.11165559,"about_ca_topic_score_gemma":0.3346042,"teacher_disagreement_score":0.11165559,"about_ca_system_score_codex":0.0022716627,"about_ca_system_score_gemma":0.00089100114,"threshold_uncertainty_score":0.22201139},"labels":[],"label_agreement":null},{"id":"W2386418784","doi":"","title":"Fast Julia Fractal Plotting Method Based on GPU Programming","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Graphics; Fractal; Computer graphics (images); Process (computing); General-purpose computing on graphics processing units; Computational science; CUDA; Code (set theory); Computer graphics; Parallel computing; Algorithm; Programming language","score_opus":0.010316250875897208,"score_gpt":0.2537004009698069,"score_spread":0.24338415009390968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2386418784","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005753622,0.00012459312,0.98582536,0.00007616806,0.00006366228,0.000021249953,0.000042621083,0.003053187,0.0050395005],"genre_scores_gemma":[0.10212699,0.00030660976,0.8892053,0.000046659738,0.000064460284,0.000082625906,0.00021579729,0.0011045639,0.0068469928],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996753,0.00004875857,0.000015161217,0.00004539328,0.00019132237,0.000024242254],"domain_scores_gemma":[0.9995103,0.00014805226,0.000026733038,0.00008823994,0.00019827894,0.000028501361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002839651,0.00050939317,0.00044449008,0.0011244869,0.0004344708,0.00090778404,0.00088238437,0.00039629688,0.00458493],"category_scores_gemma":[0.0013916489,0.0002519327,0.00049695314,0.0007881194,0.00039747066,0.00081042055,0.00053537445,0.0007871047,0.0015597014],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021721939,0.0000495606,0.001998143,0.00020874689,0.00006844864,0.0005123328,0.0006206006,0.11404216,0.07793361,0.17193113,0.021452082,0.6109661],"study_design_scores_gemma":[0.000034333203,0.000029772678,0.00042237793,0.000020926029,0.000014997607,0.00036434075,0.000029518258,0.91584396,0.031226229,0.016964475,0.03500461,0.000044406912],"about_ca_topic_score_codex":0.0015129923,"about_ca_topic_score_gemma":0.0010616285,"teacher_disagreement_score":0.00458493,"about_ca_system_score_codex":0.00042018332,"about_ca_system_score_gemma":0.00053363154,"threshold_uncertainty_score":0.015338123},"labels":[],"label_agreement":null},{"id":"W2386495126","doi":"","title":"Analysis of change characteristics of sunshine hour in Dunhuang oasis in recent 54 years","year":2010,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Sunshine duration; Environmental science; Spring (device); Climatology; Trend analysis; Meteorology; Geography; Precipitation; Mathematics; Geology; Statistics","score_opus":0.04235442213120309,"score_gpt":0.2476577163296244,"score_spread":0.2053032941984213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2386495126","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":[0.9993262,0.00007537922,0.000052140367,0.000011315906,0.0000033566748,0.0000024604092,0.00026014473,0.000002577862,0.00026651693],"genre_scores_gemma":[0.9992793,0.000061496605,0.00005716856,0.0000027693527,0.000003841204,0.0000031829425,0.00042329173,4.9179783e-7,0.0001686106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998816,0.000011803272,0.0000144626765,0.00002856246,0.00003459098,0.000029055338],"domain_scores_gemma":[0.99970704,0.000033333556,0.000118749485,0.000015051659,0.00008401949,0.000041793817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022040053,0.0001399021,0.00014006947,0.00088656606,0.00019508229,0.00032698055,0.00013596566,0.00011426623,0.0007065951],"category_scores_gemma":[0.0004468094,0.000073898445,0.0001963623,0.0012494207,0.00013002798,0.00016105072,0.00012668363,0.00012811492,0.00006455329],"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":[0.000047450703,0.000013077496,0.99073714,0.000029477846,0.00008197198,0.00013736195,0.00041497604,0.00028626726,0.0022338114,0.000046139146,0.000119694116,0.005852622],"study_design_scores_gemma":[4.8713207e-7,0.000005283527,0.9995733,8.868513e-7,0.0000045602656,0.000009558758,0.00010968158,0.000096789496,0.00004485378,0.0000022130694,0.0001514397,9.665002e-7],"about_ca_topic_score_codex":0.050523162,"about_ca_topic_score_gemma":0.11821626,"teacher_disagreement_score":0.050523162,"about_ca_system_score_codex":0.00069382,"about_ca_system_score_gemma":0.0002430277,"threshold_uncertainty_score":0.100458145},"labels":[],"label_agreement":null},{"id":"W2386771400","doi":"","title":"High Yield Potential Research of Main Grain and Oil Crops in Guizhou IV the Productive Potential Research of Land","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Representativeness heuristic; Yield (engineering); Agronomy; Environmental science; Connotation; Mathematics; Grain yield; Division (mathematics); Agricultural engineering; Statistics; Engineering; Biology; Physics","score_opus":0.06168121144353687,"score_gpt":0.2920217300762644,"score_spread":0.23034051863272756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2386771400","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":[0.9986274,0.000085870415,0.0004176852,0.000028454522,5.3622216e-7,0.000002432822,0.000038024613,0.000003237901,0.00079625857],"genre_scores_gemma":[0.99964833,0.000028189837,0.00010805321,0.0000020052623,6.315834e-7,0.0000012092615,0.000047398655,6.9668783e-7,0.00016358861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998159,0.000046860416,0.000008974636,0.000035848014,0.000042127525,0.000050380968],"domain_scores_gemma":[0.9997485,0.00007557674,0.000044917295,0.000022283757,0.000061705476,0.000046897407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036159763,0.00019084648,0.00012779415,0.0013804317,0.00033671918,0.00043631924,0.0001843861,0.00010809274,0.0007858251],"category_scores_gemma":[0.0005135559,0.000093839546,0.0003163829,0.0010809875,0.00025519662,0.00034425338,0.00032054938,0.000095520605,0.00007451849],"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":[0.00023693309,0.0000641973,0.8900004,0.000117920485,0.00009691756,0.0010066349,0.0012207321,0.0060796672,0.054091968,0.0032432748,0.00024969818,0.043591555],"study_design_scores_gemma":[0.0000046305154,0.0000719157,0.993218,0.000002826027,0.000015817863,0.000103794126,0.00055410684,0.0030390508,0.0020823982,0.00040689047,0.0004959926,0.000004601654],"about_ca_topic_score_codex":0.03147208,"about_ca_topic_score_gemma":0.04658253,"teacher_disagreement_score":0.03147208,"about_ca_system_score_codex":0.0012879511,"about_ca_system_score_gemma":0.0004458298,"threshold_uncertainty_score":0.062577784},"labels":[],"label_agreement":null},{"id":"W2386830594","doi":"","title":"Analysis on Heterrosis and Genetic Expression of Six Agronomic Characters of Watermelon","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biology; Expression (computer science); Horticulture; Biotechnology; Computer science","score_opus":0.015287499808357589,"score_gpt":0.1836132428732393,"score_spread":0.1683257430648817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2386830594","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":[0.9994295,0.000018322975,0.00019707248,0.0000043833784,9.289055e-7,0.000003677675,0.00010604904,0.0000024333044,0.00023761053],"genre_scores_gemma":[0.9977126,0.000024379515,0.00038182831,0.000015984086,0.0000015351739,0.00001084784,0.00050640386,0.0000064731125,0.0013399101],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994504,0.0000072026173,0.000004282559,0.00002160028,0.000010080619,0.000011681975],"domain_scores_gemma":[0.99983525,0.000056243673,0.000034234163,0.00000939935,0.000017984514,0.00004691794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008468004,0.00015129766,0.00010526433,0.0004177086,0.00015046794,0.00015665608,0.00011036865,0.00013880465,0.0010174918],"category_scores_gemma":[0.0001342284,0.000089247915,0.00012034756,0.00023574437,0.00016335548,0.00012960203,0.00016285376,0.00022066673,0.000115428054],"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":[0.00012795014,0.000021773969,0.005858661,0.000007331135,0.000005122952,0.0000607618,0.00006915372,0.000021967066,0.9929178,0.00007324304,0.000006577945,0.00082977634],"study_design_scores_gemma":[0.00003083276,0.00040013448,0.78888535,0.000004235163,0.000034408506,0.0004106652,0.00036265573,0.0008596144,0.20779489,0.00010862554,0.0010957919,0.000012723161],"about_ca_topic_score_codex":0.0019493762,"about_ca_topic_score_gemma":0.0042715957,"teacher_disagreement_score":0.0019493762,"about_ca_system_score_codex":0.00023388526,"about_ca_system_score_gemma":0.00017373587,"threshold_uncertainty_score":0.0038760304},"labels":[],"label_agreement":null},{"id":"W2386894261","doi":"","title":"[Prediction of litter moisture content in Tahe Forestry Bureau of Northeast China based on FWI moisture codes].","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Water content; Moisture; Environmental science; Litter; Forestry; Meteorology; Hydrology (agriculture); Geology; Geography; Waste management; Engineering; Geotechnical engineering","score_opus":0.028710751717258405,"score_gpt":0.19179399204177502,"score_spread":0.16308324032451663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2386894261","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":[0.98859733,0.0003448112,0.0041187285,0.00009532121,0.00002668422,0.000046477253,0.005287377,0.00019951632,0.0012838937],"genre_scores_gemma":[0.9910416,0.00022203196,0.0035918106,0.000017379612,0.000008307001,0.000023972912,0.0045324746,0.0000078101375,0.00055469206],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999281,0.0000075523553,0.000007960295,0.000018787372,0.000025579178,0.000011964483],"domain_scores_gemma":[0.99982244,0.000028332779,0.000044023593,0.000009928701,0.000070770344,0.00002460963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027070104,0.0003332429,0.00015534322,0.0011066293,0.00022661773,0.00024022978,0.0002694974,0.0001983776,0.0007251982],"category_scores_gemma":[0.00056178495,0.00012634018,0.0003262121,0.000791228,0.00009606705,0.00033708452,0.00017448975,0.0001344113,0.0001701462],"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":[0.00010668716,0.00005252175,0.88529485,0.0002626759,0.00009802478,0.00027324,0.0001475254,0.022897469,0.010363996,0.00020265137,0.003012917,0.07728736],"study_design_scores_gemma":[0.000017224305,0.000028117678,0.88742113,0.000021080406,0.000046663117,0.000050752325,0.000120871926,0.10706789,0.0032245643,0.00011258114,0.0018727378,0.00001633602],"about_ca_topic_score_codex":0.16818187,"about_ca_topic_score_gemma":0.17122784,"teacher_disagreement_score":0.16818187,"about_ca_system_score_codex":0.0006375296,"about_ca_system_score_gemma":0.0009048846,"threshold_uncertainty_score":0.3344059},"labels":[],"label_agreement":null},{"id":"W2386949827","doi":"","title":"Monitoring Results of Sanitary Quality of Cake and Bread in Zhongyuan District of Zhengzhou City during 2006—2008","year":2009,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Business; Toxicology; Geography","score_opus":0.028348170590042594,"score_gpt":0.25389037513788076,"score_spread":0.22554220454783816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2386949827","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":[0.99966824,0.000018941775,0.00006495999,0.0000063549583,4.542223e-7,0.000004269867,0.00014289189,0.000002351236,0.00009157054],"genre_scores_gemma":[0.9992538,0.000015561955,0.00018763292,0.000004468297,8.2622006e-7,0.00000671881,0.00032814607,7.8220086e-7,0.00020202117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967706,0.000051485953,0.000029374445,0.00009340629,0.00008093684,0.000067783905],"domain_scores_gemma":[0.999469,0.000054006534,0.00020227078,0.000040238374,0.00014978914,0.00008467122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002893586,0.00017025786,0.0002077032,0.0007310943,0.000548104,0.0002627416,0.00027402616,0.00019329958,0.0006803822],"category_scores_gemma":[0.0006009612,0.00015659037,0.00016454922,0.0010361425,0.00028240375,0.00016364452,0.0003145165,0.00011613288,0.00008519737],"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":[0.000104650455,0.000014531944,0.9911992,0.000018596107,0.00002570826,0.00011869255,0.0005459178,0.00009879695,0.004587755,0.000011682781,0.000114642105,0.0031598082],"study_design_scores_gemma":[0.0000015123087,0.000018548402,0.9993647,6.2299273e-7,0.0000047563976,0.000023527613,0.00014042544,0.00006592709,0.00028665506,0.0000021943736,0.00009009479,0.0000010889709],"about_ca_topic_score_codex":0.04808259,"about_ca_topic_score_gemma":0.106162004,"teacher_disagreement_score":0.04808259,"about_ca_system_score_codex":0.0007436207,"about_ca_system_score_gemma":0.0006086279,"threshold_uncertainty_score":0.09560543},"labels":[],"label_agreement":null},{"id":"W2387744406","doi":"","title":"The landscape ecology for the oasis land use——A case of Gulang oases in Wuwei","year":2011,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Woodland; Grassland; Land use; Geography; Range (aeronautics); Environmental science; Ecology","score_opus":0.04991474138478757,"score_gpt":0.23088387294442797,"score_spread":0.1809691315596404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2387744406","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":[0.997687,0.00007373225,0.000107794825,0.00006468951,0.0000018240868,0.0000075118223,0.000071726274,0.0000027065034,0.0019830493],"genre_scores_gemma":[0.99944764,0.000052623553,0.00009810048,0.0000045213187,0.0000013368945,0.000003862232,0.00004558286,9.161924e-7,0.0003453407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998191,0.00004504543,0.000010419991,0.000027011243,0.000028211893,0.000070243004],"domain_scores_gemma":[0.9998919,0.000019663026,0.000032814667,0.00001174386,0.00001837798,0.000025574787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015618968,0.00017288531,0.00015063547,0.0015601298,0.0010374483,0.001242989,0.00032425742,0.00032649678,0.0019725263],"category_scores_gemma":[0.00047858138,0.00015619339,0.00031053973,0.0028533374,0.00073027506,0.00044912787,0.00045033725,0.00019094803,0.00011401904],"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":[0.00015236928,0.00016621707,0.882275,0.00015613846,0.00016737271,0.052955173,0.014003598,0.00501178,0.0062106964,0.010579051,0.0012543056,0.027068352],"study_design_scores_gemma":[0.000010946148,0.000031194515,0.9646233,0.000034977802,0.000040844086,0.0031261567,0.023111733,0.004268154,0.00028576478,0.0008105533,0.0036411753,0.000015280219],"about_ca_topic_score_codex":0.118941225,"about_ca_topic_score_gemma":0.26592612,"teacher_disagreement_score":0.118941225,"about_ca_system_score_codex":0.002701293,"about_ca_system_score_gemma":0.00046916254,"threshold_uncertainty_score":0.23649782},"labels":[],"label_agreement":null},{"id":"W2387826270","doi":"","title":"Research Progress on Urban Forest","year":2010,"lang":"zh","type":"article","venue":"景观研究(英文版)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"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":"Connotation; China; Function (biology); Environmental planning; Forest management; Field (mathematics); Component (thermodynamics); Environmental resource management; Geography; Regional science; Forestry; Environmental science; Archaeology","score_opus":0.04476884528240298,"score_gpt":0.3055962783618428,"score_spread":0.2608274330794398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2387826270","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":[0.03206359,0.7325673,0.008572914,0.016994316,0.0015757268,0.00003252288,0.00024759467,0.000050705952,0.20789534],"genre_scores_gemma":[0.27173653,0.70454687,0.0053952932,0.0020684104,0.002489071,0.000019809775,0.00033152028,0.0000381669,0.013374251],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99917114,0.0002604124,0.000034995883,0.00020285639,0.00022069637,0.000109857145],"domain_scores_gemma":[0.99649954,0.0020302073,0.00018471669,0.00019334286,0.0008864769,0.00020577334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019751526,0.00043823879,0.0005486732,0.0035636213,0.0011887567,0.004110031,0.00061740424,0.0008759809,0.0076454435],"category_scores_gemma":[0.0025385355,0.0001810243,0.00042640377,0.009704631,0.003033872,0.0053515444,0.0013777687,0.0015495752,0.0009653414],"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":[0.00006861848,0.00008366727,0.0062732236,0.0026896354,0.00004161786,0.00026475702,0.0021405395,0.0028339252,0.00060658937,0.3918713,0.019616753,0.5735094],"study_design_scores_gemma":[0.000006220979,0.000058203717,0.008147307,0.001991983,0.000028610419,0.00039596137,0.0037108727,0.0012204772,0.0007388255,0.067502744,0.91617286,0.000025878313],"about_ca_topic_score_codex":0.009025916,"about_ca_topic_score_gemma":0.01039964,"teacher_disagreement_score":0.009025916,"about_ca_system_score_codex":0.0026355092,"about_ca_system_score_gemma":0.003815402,"threshold_uncertainty_score":0.025576591},"labels":[],"label_agreement":null},{"id":"W2388305554","doi":"","title":"Several Problem of the Allowance Police of Forest Fine Variety","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Allowance (engineering); Variety (cybernetics); Mathematics; Economics; Statistics; Operations management","score_opus":0.0116896437618679,"score_gpt":0.18240230816556202,"score_spread":0.17071266440369412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388305554","genre_codex":"other","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":[0.3330485,0.0031628239,0.1927928,0.09937057,0.001252135,0.00034872416,0.0035099098,0.00054492726,0.36596957],"genre_scores_gemma":[0.9629478,0.00032857154,0.013386345,0.0036325878,0.00040708552,0.00012374141,0.00019109232,0.000077222045,0.018905647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99432254,0.0015437112,0.0002660267,0.0019365819,0.0014310726,0.0005001348],"domain_scores_gemma":[0.97969866,0.0111514,0.002038211,0.0040965634,0.0024891715,0.00052605505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062623187,0.00030068058,0.0007876171,0.0013218089,0.0035684386,0.0034692,0.0018859161,0.002518144,0.009057502],"category_scores_gemma":[0.033178087,0.00046262628,0.00040273988,0.0018810405,0.004237851,0.004422141,0.0018109572,0.005389399,0.0006087202],"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":[0.00012515132,0.000102966595,0.014723883,0.00011684557,0.00006685095,0.0002884948,0.0011992673,0.006635773,0.0015514566,0.89351773,0.021875754,0.059795935],"study_design_scores_gemma":[0.00006516976,0.000105788036,0.026145928,0.00014974865,0.000053677275,0.00047790463,0.0023872613,0.028226329,0.0036981998,0.8042177,0.13436544,0.000106899555],"about_ca_topic_score_codex":0.01257598,"about_ca_topic_score_gemma":0.016961737,"teacher_disagreement_score":0.01257598,"about_ca_system_score_codex":0.002025582,"about_ca_system_score_gemma":0.00315143,"threshold_uncertainty_score":0.033118725},"labels":[],"label_agreement":null},{"id":"W2388313135","doi":"","title":"Estimation of terrestrial net primary production and its temporal-spatial distribution in Henan Province based on GIS and RS","year":2011,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","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":"Primary production; Environmental science; Shrub; Spatial distribution; Vegetation (pathology); Grassland; Physical geography; Forestry; Geography; Remote sensing; Ecosystem; Ecology","score_opus":0.017731349120518197,"score_gpt":0.19587864692244075,"score_spread":0.17814729780192257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388313135","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":[0.997809,0.00003108156,0.0008075679,0.000014866421,7.8867777e-7,0.00001094157,0.0005729991,0.00002485003,0.0007279867],"genre_scores_gemma":[0.9979977,0.000023466902,0.0009992742,0.0000014477939,9.134841e-7,0.000012115607,0.0006252683,0.0000022627905,0.00033751695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999138,0.000013595795,0.0000049450596,0.000022279959,0.000026082265,0.0000192874],"domain_scores_gemma":[0.999866,0.000026899887,0.000022190176,0.000009295075,0.00005793422,0.000017646493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019028083,0.00025446652,0.00012677524,0.0011466078,0.0002726725,0.00029273133,0.0002056869,0.000083842155,0.00057039724],"category_scores_gemma":[0.00031779136,0.00015169606,0.00022307283,0.0013622099,0.000119178956,0.00020758026,0.00016758498,0.00008119116,0.000060627575],"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":[0.00012865591,0.00006988632,0.8938872,0.000067953035,0.00011504981,0.0003299264,0.0003928226,0.060656518,0.005122628,0.00067847385,0.0008585822,0.037692346],"study_design_scores_gemma":[0.00001387229,0.000020730711,0.8510908,0.0000056153926,0.00002838182,0.00006127522,0.0003027884,0.14631969,0.0010396433,0.0001294384,0.0009731883,0.000014606102],"about_ca_topic_score_codex":0.34122846,"about_ca_topic_score_gemma":0.36512202,"teacher_disagreement_score":0.34122846,"about_ca_system_score_codex":0.001662663,"about_ca_system_score_gemma":0.0011687535,"threshold_uncertainty_score":0.67848456},"labels":[],"label_agreement":null},{"id":"W2388496635","doi":"","title":"Research on the urban system of Three Georges Reservoir Area in northeastern Chongqing based on fractal theory","year":2015,"lang":"en","type":"article","venue":"Journal of Central China Normal University","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Fractal; Fractal dimension; Geography; Population; Scale (ratio); Economic geography; Cartography; Mathematics; Sociology; Demography","score_opus":0.041355513453192,"score_gpt":0.22316974235506895,"score_spread":0.18181422890187696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388496635","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":[0.9948088,0.00007126227,0.0026838963,0.00006969591,0.000002159848,0.000013441896,0.00016671733,0.000014532437,0.0021695094],"genre_scores_gemma":[0.99866843,0.000042527347,0.00079432916,0.0000029759585,0.0000010647884,0.0000062824647,0.000091180125,0.0000019948948,0.0003912182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998771,0.000023884348,0.000007882534,0.000027287917,0.00002616711,0.00003761881],"domain_scores_gemma":[0.9998605,0.00003277645,0.00003140109,0.000013574886,0.000035996036,0.000025711472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018065823,0.00013096422,0.0001268496,0.0017348207,0.00063207606,0.0005982832,0.00025938664,0.00012553763,0.001061546],"category_scores_gemma":[0.0003823814,0.00012441706,0.00032174774,0.0022474623,0.0003961554,0.00042523406,0.00043482447,0.000099835546,0.000042711203],"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":[0.000099274184,0.00006693318,0.8364041,0.0002116325,0.00014192137,0.001216555,0.004511342,0.052672964,0.009103443,0.029249256,0.0014702477,0.06485222],"study_design_scores_gemma":[0.000007981039,0.000042566902,0.92704546,0.00001938066,0.000051970597,0.00028624423,0.0032359143,0.060641423,0.00085966964,0.0028363867,0.004945017,0.000028119257],"about_ca_topic_score_codex":0.036606796,"about_ca_topic_score_gemma":0.056664247,"teacher_disagreement_score":0.036606796,"about_ca_system_score_codex":0.0018559917,"about_ca_system_score_gemma":0.00093319913,"threshold_uncertainty_score":0.072787404},"labels":[],"label_agreement":null},{"id":"W2388852548","doi":"","title":"Landscape planning for modern residential quarters","year":2004,"lang":"en","type":"article","venue":"Ha'erbin gongye daxue xuebao","topic":"Remote Sensing and Land Use","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":"Beijing; Tian; Quarter (Canadian coin); Landscape design; Architectural engineering; Geography; Landscape planning; Environmental planning; Civil engineering; Transport engineering; China; Engineering; History; Archaeology","score_opus":0.017547832227108984,"score_gpt":0.23246939174485895,"score_spread":0.21492155951774997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388852548","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26709774,0.0013939164,0.42700753,0.0023613637,0.00014568446,0.00027828402,0.0002781589,0.0006158165,0.30082154],"genre_scores_gemma":[0.8463179,0.0004532884,0.1113178,0.00007699075,0.000021975302,0.00011209429,0.0001550323,0.00008130819,0.041463625],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997882,0.00009784719,0.000008676021,0.000026162139,0.00004969818,0.000029416287],"domain_scores_gemma":[0.999943,0.0000051264856,0.0000063228167,0.00001371763,0.00002029226,0.00001150966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025977645,0.00023109165,0.00012351442,0.00031646134,0.0008670498,0.0010156116,0.0003713171,0.00029395547,0.007917233],"category_scores_gemma":[0.0002519344,0.00016073698,0.00027677522,0.0005370511,0.00066776265,0.00042972452,0.0006348478,0.00025337635,0.00042760494],"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":[0.000108267195,0.00010052,0.01227116,0.00033938672,0.00003194088,0.00079699204,0.002834202,0.17255822,0.015982363,0.3351074,0.021902913,0.43796673],"study_design_scores_gemma":[0.00006861716,0.00049056316,0.04678954,0.00014673942,0.000055288452,0.0015337047,0.007927103,0.21819451,0.0049493373,0.1565319,0.5632288,0.00008390658],"about_ca_topic_score_codex":0.0072126486,"about_ca_topic_score_gemma":0.026516484,"teacher_disagreement_score":0.007917233,"about_ca_system_score_codex":0.0015097046,"about_ca_system_score_gemma":0.00092528266,"threshold_uncertainty_score":0.026485741},"labels":[],"label_agreement":null},{"id":"W2389483589","doi":"","title":"Stability Analysis for Elementary Characters of Hybrid Rice by AMMI Model","year":2002,"lang":"en","type":"article","venue":"Zuo wu xue bao","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Ammi; Adaptability; Stability (learning theory); Mathematics; Yield (engineering); Main effect; Grain yield; Interaction; Linear regression; Gene–environment interaction; Statistics; Horticulture; Biology; Genotype; Computer science; Ecology; Genetics; Machine learning","score_opus":0.029313640384057153,"score_gpt":0.20444163352232433,"score_spread":0.17512799313826719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2389483589","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":[0.4500003,0.00019930478,0.5459103,0.00008751785,0.000034251836,0.00007798592,0.00055974175,0.0009971736,0.0021333834],"genre_scores_gemma":[0.9329218,0.000088304165,0.06354331,0.0000128602605,0.000015054309,0.00021950073,0.0012208722,0.0002103033,0.0017680778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998779,0.0005048536,0.000069226946,0.0003015579,0.00025572465,0.0000896311],"domain_scores_gemma":[0.9981396,0.0010709795,0.00023613064,0.00022137533,0.0002811125,0.000050826813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002671682,0.0010664414,0.00060695957,0.0013133154,0.0003917756,0.0006675292,0.000514991,0.0003087337,0.0016916991],"category_scores_gemma":[0.005477739,0.00023397204,0.0011024987,0.0009236914,0.00039404843,0.0008098608,0.0005246641,0.000763012,0.0005841795],"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":[0.0023555574,0.00045933723,0.13911378,0.0003884924,0.0011425432,0.00053148245,0.0015934252,0.34248087,0.21392474,0.023984144,0.0036372938,0.2703883],"study_design_scores_gemma":[0.000035707075,0.0003945858,0.072069,0.000012658382,0.00012948122,0.0002592334,0.00011439358,0.898925,0.018983861,0.0068260487,0.0021416117,0.0001083968],"about_ca_topic_score_codex":0.0012877304,"about_ca_topic_score_gemma":0.0006732739,"teacher_disagreement_score":0.002671682,"about_ca_system_score_codex":0.0004610735,"about_ca_system_score_gemma":0.00031250287,"threshold_uncertainty_score":0.0141294},"labels":[],"label_agreement":null},{"id":"W2390244442","doi":"","title":"On Improving the Urban Space Features of Shanghai","year":2001,"lang":"en","type":"article","venue":"Chengshi guihua huikan","topic":"Remote Sensing and Land Use","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":"Connotation; Space (punctuation); Quarter (Canadian coin); Architectural engineering; Architecture; Correlative; Public space; Feature (linguistics); Center (category theory); Mechanism (biology); Urban space; Urban planning; Regional science; Environmental planning; Political science; Civil engineering; Engineering; Computer science; Geography; Epistemology","score_opus":0.01278585812928047,"score_gpt":0.20331168350255296,"score_spread":0.1905258253732725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2390244442","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":[0.95524955,0.0012618566,0.005543551,0.0011865583,0.000029598566,0.000025506508,0.00027457328,0.000121976605,0.036306903],"genre_scores_gemma":[0.99649733,0.00034786193,0.0014789617,0.000026036563,0.000008425856,0.0000040366062,0.00010348598,0.000007868478,0.0015260051],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99992967,0.000018200813,0.0000032610264,0.000007589131,0.000019208534,0.000022090402],"domain_scores_gemma":[0.9999076,0.0000111683285,0.000019596877,0.000008437294,0.00003278137,0.000020478248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021921996,0.0001659451,0.00007223746,0.0006180715,0.00047878787,0.00062791596,0.00008864097,0.0000940297,0.000989181],"category_scores_gemma":[0.00025772172,0.00006739851,0.00008873722,0.00092444854,0.00044203893,0.00048680868,0.0003406597,0.00008675672,0.000068397814],"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":[0.00027317766,0.00005198611,0.3057184,0.0005910908,0.000058213187,0.0012432174,0.011293937,0.035681903,0.02007536,0.2533528,0.019166745,0.35249314],"study_design_scores_gemma":[0.000021708967,0.00025517103,0.84935725,0.000054901044,0.00010957085,0.00034396866,0.006894574,0.008894525,0.005624213,0.015540683,0.11285805,0.000045403536],"about_ca_topic_score_codex":0.023855973,"about_ca_topic_score_gemma":0.08547299,"teacher_disagreement_score":0.023855973,"about_ca_system_score_codex":0.0011775879,"about_ca_system_score_gemma":0.0007515788,"threshold_uncertainty_score":0.04743427},"labels":[],"label_agreement":null},{"id":"W2390326334","doi":"","title":"Advance in the Application of InSAR on Landslide Research","year":2007,"lang":"en","type":"article","venue":"Resources Environment & Engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Landslide; Interferometric synthetic aperture radar; Remote sensing; Natural disaster; China; Geology; Geography; Seismology; Synthetic aperture radar; Meteorology","score_opus":0.01413771076404667,"score_gpt":0.23140246199204534,"score_spread":0.21726475122799868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2390326334","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":[0.067820966,0.57457244,0.21484676,0.01296711,0.003517251,0.000117835465,0.00039102003,0.0004215596,0.12534514],"genre_scores_gemma":[0.26832384,0.58028436,0.13064256,0.00232153,0.0044981805,0.000068856985,0.00045292833,0.00009532743,0.013312505],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99910307,0.0002405342,0.00008557418,0.00016399003,0.00035596092,0.00005091213],"domain_scores_gemma":[0.99692255,0.0013717766,0.0001036649,0.00026618107,0.0012603848,0.00007535362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026767675,0.0004989892,0.0006230578,0.001648556,0.00040768832,0.0014781991,0.00067804666,0.00095018477,0.0017645916],"category_scores_gemma":[0.002436363,0.0002691851,0.00043420045,0.0028525179,0.0010656492,0.0016734576,0.0008075501,0.0010081754,0.00094444177],"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":[0.000119880526,0.00009994999,0.009556334,0.0020477537,0.00008632521,0.00042719007,0.00048709483,0.0071488456,0.01263578,0.045136027,0.0056871665,0.9165677],"study_design_scores_gemma":[0.000029154056,0.0005151096,0.022925036,0.0015354585,0.00025954735,0.0019224365,0.0011006106,0.024643324,0.021418614,0.04256748,0.8829402,0.00014304438],"about_ca_topic_score_codex":0.0024130659,"about_ca_topic_score_gemma":0.0023592284,"teacher_disagreement_score":0.0026767675,"about_ca_system_score_codex":0.00057525915,"about_ca_system_score_gemma":0.0013477857,"threshold_uncertainty_score":0.014156282},"labels":[],"label_agreement":null},{"id":"W2390390884","doi":"","title":"Extraction of Winter Wheat Planting Area Based on Data of MODIS EVI Time-series","year":2014,"lang":"en","type":"article","venue":"Hubei nongye kexue","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Winter wheat; Sowing; Environmental science; Agronomy; Biology","score_opus":0.033317596155529976,"score_gpt":0.23611763364436855,"score_spread":0.20280003748883857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2390390884","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":[0.9502186,0.0003078229,0.032225613,0.00006792097,0.00004551491,0.000103859275,0.011905176,0.0007280295,0.0043974584],"genre_scores_gemma":[0.95085895,0.00027397546,0.028796246,0.000018770359,0.000026222635,0.00009923358,0.017691864,0.000047058802,0.002187752],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998914,0.000004668969,0.000011561231,0.00003205652,0.000040327966,0.000020065201],"domain_scores_gemma":[0.99989855,0.000009531697,0.0000150364785,0.0000086525615,0.000059793612,0.0000083634595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013810598,0.0006263711,0.00030738884,0.0029049874,0.00020539528,0.00035682652,0.00020436208,0.00019305517,0.0008394119],"category_scores_gemma":[0.00028584423,0.00017595282,0.00042666623,0.0027962003,0.000089568835,0.00036829547,0.00023523672,0.00015636717,0.00035800994],"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":[0.00022068103,0.00020165088,0.32819083,0.00048894197,0.00015742854,0.0013614051,0.00070357905,0.029693231,0.1312322,0.001118971,0.007739511,0.49889168],"study_design_scores_gemma":[0.000024017376,0.00006675203,0.8113747,0.00003952265,0.00011394988,0.00033034335,0.0008815295,0.15785365,0.018175555,0.00079490716,0.010288163,0.000056820856],"about_ca_topic_score_codex":0.013675056,"about_ca_topic_score_gemma":0.015752487,"teacher_disagreement_score":0.013675056,"about_ca_system_score_codex":0.00026453706,"about_ca_system_score_gemma":0.00040119217,"threshold_uncertainty_score":0.027190924},"labels":[],"label_agreement":null},{"id":"W2390659702","doi":"","title":"Research on Calculation and Classification of Land Development Potentiality Based on ARCGIS","year":2012,"lang":"en","type":"article","venue":"Ground Water","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Science North","funders":"","keywords":"Arable land; Unit (ring theory); Foundation (evidence); Exploit; Index (typography); Land use; Geography; Environmental resource management; Environmental science; Environmental planning; Computer science; Civil engineering; Mathematics; Engineering; Agriculture; Archaeology","score_opus":0.09816290654224463,"score_gpt":0.3006992508024364,"score_spread":0.2025363442601918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2390659702","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":[0.12135828,0.001816306,0.8530155,0.0008769657,0.00013761055,0.00030456486,0.00094307656,0.0018179126,0.019729882],"genre_scores_gemma":[0.5564377,0.003204703,0.43243715,0.00008584617,0.00006791949,0.00032547984,0.0019254172,0.0002114993,0.005304324],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991097,0.00024624297,0.000074416654,0.00014452303,0.0003784188,0.000046743968],"domain_scores_gemma":[0.99916756,0.00023087488,0.000080779566,0.000084369894,0.00039489957,0.000041600757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010996746,0.00053917867,0.00034230176,0.0050809407,0.00042407674,0.0015988316,0.0005431375,0.00024638174,0.002412291],"category_scores_gemma":[0.002473023,0.00028497755,0.000436465,0.0068288688,0.00053839956,0.0031892709,0.0005900855,0.0004248435,0.00050485326],"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":[0.00005105709,0.000072169016,0.046986498,0.00048729233,0.000119963974,0.00017443272,0.00075353537,0.054925475,0.0072697606,0.06876994,0.007913867,0.812476],"study_design_scores_gemma":[0.000051601113,0.00016475296,0.14293177,0.0003474345,0.00015687468,0.001058929,0.0032099346,0.67054987,0.02018762,0.0691803,0.09191326,0.00024766335],"about_ca_topic_score_codex":0.006760591,"about_ca_topic_score_gemma":0.0053312494,"teacher_disagreement_score":0.006760591,"about_ca_system_score_codex":0.00083902973,"about_ca_system_score_gemma":0.0010523294,"threshold_uncertainty_score":0.013442516},"labels":[],"label_agreement":null},{"id":"W2391864313","doi":"","title":"The Development and Application of Analysis Model for Spatial Features' Distribution Change","year":2004,"lang":"en","type":"article","venue":"Yaogan jishu yu yingyong","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"L'Alliance Boviteq","funders":"","keywords":"Polygon (computer graphics); Cartography; Change analysis; Distribution (mathematics); Geographic information system; Geography; Land use; Land use, land-use change and forestry; Change detection; Feature (linguistics); Transformation (genetics); Product (mathematics); Population; Computer science; Data mining; Remote sensing; Physical geography; Engineering; Civil engineering; Mathematics","score_opus":0.01947503452788261,"score_gpt":0.22443661106789436,"score_spread":0.20496157654001176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2391864313","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002992556,0.000043617696,0.99526393,0.0000929356,0.000018548908,0.000024703766,0.00007318374,0.00046889327,0.0010215823],"genre_scores_gemma":[0.43056837,0.0006209893,0.55833906,0.00013849894,0.000110607536,0.0006001164,0.00088184315,0.00049454556,0.008246012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988433,0.00028445222,0.00007622393,0.00034074797,0.00036519824,0.00009008259],"domain_scores_gemma":[0.998816,0.0005099499,0.00010078984,0.00013191235,0.00040447837,0.00003697448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015310424,0.0008474766,0.0007828007,0.0016517203,0.0005936567,0.001654076,0.001745551,0.0010909489,0.0017225738],"category_scores_gemma":[0.0044881376,0.0005957212,0.0018590683,0.0016042251,0.000712859,0.0029668927,0.0009779516,0.001392573,0.00078723603],"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":[0.000055700006,0.000060665036,0.0064069587,0.000094788214,0.000104516635,0.00025989825,0.00032482494,0.8110413,0.003857758,0.06512191,0.0035060777,0.10916566],"study_design_scores_gemma":[0.0000028014795,0.00000799177,0.00032331052,0.0000043498258,0.000010197035,0.00004377264,0.000018272489,0.9910343,0.00062894676,0.005994651,0.0019226975,0.000008682052],"about_ca_topic_score_codex":0.02237205,"about_ca_topic_score_gemma":0.009064087,"teacher_disagreement_score":0.02237205,"about_ca_system_score_codex":0.001768484,"about_ca_system_score_gemma":0.0012800766,"threshold_uncertainty_score":0.04448366},"labels":[],"label_agreement":null},{"id":"W2391995667","doi":"","title":"Change of Vegetation Coverage in the Qilian Mountains in Recent 10 Years","year":2014,"lang":"en","type":"article","venue":"Arid Zone Research","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":6,"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":"Vegetation (pathology); Normalized Difference Vegetation Index; Precipitation; Environmental science; Physical geography; Climate change; Growing season; Climatology; Period (music); Spatial change; Enhanced vegetation index; Geography; Vegetation Index; Geology; Ecology; Meteorology","score_opus":0.08886069139883504,"score_gpt":0.32262609889783406,"score_spread":0.23376540749899902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2391995667","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":[0.99902785,0.00021981448,0.00008382616,0.000021232323,0.0000027333665,0.0000024336814,0.00037139872,0.0000037986404,0.00026701603],"genre_scores_gemma":[0.9990595,0.00009153119,0.00011045414,0.000007998593,0.0000037246252,0.0000053735153,0.0005583623,7.357431e-7,0.00016227408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998628,0.000015137258,0.000019883322,0.000039715953,0.00003247267,0.00003004217],"domain_scores_gemma":[0.9997402,0.000027807724,0.000109547575,0.000012444723,0.000060355516,0.000049747854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030688348,0.000116631614,0.00013282112,0.0006703981,0.00024381425,0.00029812098,0.00016889624,0.00013513044,0.00051542826],"category_scores_gemma":[0.00046604106,0.00009499167,0.0002063062,0.0009508935,0.00016983725,0.0002681416,0.00028053336,0.00013638832,0.00005717254],"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":[0.000036621095,0.000009459189,0.99202454,0.00004609779,0.000073340074,0.00020891726,0.0005712984,0.0004356224,0.0014379127,0.00008623774,0.00019235388,0.004877491],"study_design_scores_gemma":[8.71971e-7,0.0000103841885,0.9992605,0.0000029763203,0.00000810314,0.000043396678,0.00011219225,0.0002668285,0.000041803407,0.000008854048,0.00024224675,0.0000018035329],"about_ca_topic_score_codex":0.016008148,"about_ca_topic_score_gemma":0.03425927,"teacher_disagreement_score":0.016008148,"about_ca_system_score_codex":0.00036860773,"about_ca_system_score_gemma":0.00025293996,"threshold_uncertainty_score":0.031829894},"labels":[],"label_agreement":null},{"id":"W2392121132","doi":"","title":"On the new idea of the landscape design of the residential quarter","year":2008,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Landscape design; Landscape architecture; Humanism; Relation (database); Architectural engineering; Architecture; Geography; Engineering; Civil engineering; Computer science; Political science; Archaeology","score_opus":0.013144697764809804,"score_gpt":0.18327562585397592,"score_spread":0.1701309280891661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2392121132","genre_codex":"other","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":[0.03417468,0.0037711007,0.46223426,0.010779576,0.0015094742,0.000062081024,0.00011134289,0.00044347832,0.48691407],"genre_scores_gemma":[0.667533,0.0047451006,0.19523759,0.0027372811,0.0007100442,0.00014237115,0.00014569903,0.00032765686,0.12842128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960655,0.00018353219,0.00001585612,0.00006153582,0.00009331851,0.000039206716],"domain_scores_gemma":[0.9998184,0.0000618467,0.000010833022,0.00002885821,0.000061747225,0.000018312387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046107968,0.00033754116,0.00024871883,0.0007527855,0.0010421209,0.0026761796,0.0005753664,0.00071974733,0.007455991],"category_scores_gemma":[0.0007216546,0.0001954582,0.0004885545,0.0007779959,0.003754445,0.0025603008,0.0007889279,0.0010595779,0.00087189017],"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":[0.00002041316,0.000009878674,0.00044346103,0.000058002912,0.000006288814,0.00013928222,0.0010800358,0.0036005883,0.00060414086,0.95020473,0.0062990454,0.037534103],"study_design_scores_gemma":[0.000013450098,0.00007763787,0.0012311017,0.00010554108,0.000018797684,0.00051927747,0.0021197463,0.016239487,0.00080363627,0.64530385,0.3335401,0.000027446993],"about_ca_topic_score_codex":0.0020336448,"about_ca_topic_score_gemma":0.0038633323,"teacher_disagreement_score":0.007455991,"about_ca_system_score_codex":0.0014130527,"about_ca_system_score_gemma":0.00058288197,"threshold_uncertainty_score":0.024942815},"labels":[],"label_agreement":null},{"id":"W2392474477","doi":"","title":"Construction and analysis of Tamarix hispida suppression subtractive hybridization library under drought stress","year":2005,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"CAE (Canada)","funders":"","keywords":"Suppression subtractive hybridization; Biology; cDNA library; Complementary DNA; Gene; Cloning (programming); GenBank; Drought stress; Botany; Genetics","score_opus":0.006680465418836453,"score_gpt":0.19580189630984507,"score_spread":0.1891214308910086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2392474477","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":[0.86627173,0.0016918536,0.11735311,0.00038557488,0.00020009906,0.00065430993,0.0062443656,0.0011001576,0.0060987584],"genre_scores_gemma":[0.8587815,0.0028898614,0.074280255,0.00043460593,0.00011101845,0.00070755946,0.03182417,0.0005239769,0.030447112],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996972,0.00003668474,0.0000240822,0.00009656186,0.000095437346,0.00005004693],"domain_scores_gemma":[0.9997948,0.000058967802,0.000027081698,0.000031417658,0.000041931355,0.000045809214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045961817,0.0006819304,0.0006774192,0.00072536827,0.00041399768,0.0003826846,0.00061765255,0.0002734929,0.0034299365],"category_scores_gemma":[0.00022369667,0.00034744118,0.00054113485,0.00063868024,0.00035386274,0.00024862232,0.0003718102,0.00085724576,0.0013340139],"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":[0.000032773074,0.00001200451,0.000046193385,0.000022757018,0.0000026585979,0.000031227642,0.000022886888,0.000015130989,0.9988141,0.000066455446,0.00002203453,0.00091186515],"study_design_scores_gemma":[0.00003770009,0.00030060275,0.0075275963,0.000008673286,0.00008742925,0.00040164252,0.00009124941,0.0013787089,0.98055935,0.00013181596,0.009459886,0.000015285677],"about_ca_topic_score_codex":0.00075710926,"about_ca_topic_score_gemma":0.0013252547,"teacher_disagreement_score":0.0034299365,"about_ca_system_score_codex":0.00035369073,"about_ca_system_score_gemma":0.00024434648,"threshold_uncertainty_score":0.011474311},"labels":[],"label_agreement":null},{"id":"W2392481007","doi":"","title":"Analysis on Temporal and Spatial Changes of SO_2/NO_x in Xi'an City During 1991-2002","year":2006,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Environmental science; Geography; Physical geography; Demography","score_opus":0.014435344729740502,"score_gpt":0.2094726018868158,"score_spread":0.1950372571570753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2392481007","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":[0.99818534,0.000050414976,0.000061765946,0.000024038602,0.0000026047994,0.0000056530703,0.0012045022,0.0000050694534,0.00046050904],"genre_scores_gemma":[0.9953027,0.000113273214,0.00014785635,0.000011711964,0.000005303905,0.000014033704,0.0035562732,0.0000022392383,0.000846543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998934,0.000008793243,0.000009470568,0.000032117816,0.000031419317,0.000024745057],"domain_scores_gemma":[0.99973196,0.000021194688,0.00009891555,0.00001454925,0.00008997865,0.000043401626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014579568,0.00019063585,0.00017264727,0.00101806,0.00027534002,0.00032656433,0.000234072,0.00020630284,0.0005350049],"category_scores_gemma":[0.00023927243,0.0001887116,0.0002259709,0.0016487349,0.00012245149,0.00017946909,0.00027561423,0.00018666932,0.00011049974],"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":[0.0000563972,0.00002258834,0.9925753,0.000038344733,0.000065037144,0.00020017075,0.00042366917,0.00052140007,0.0014015613,0.000060108865,0.0004674023,0.004168093],"study_design_scores_gemma":[6.495368e-7,0.000006001304,0.999006,0.0000014283249,0.0000068478766,0.00002518954,0.00018793053,0.00029905065,0.00009123539,0.0000036900997,0.00037027197,0.0000018015163],"about_ca_topic_score_codex":0.08110853,"about_ca_topic_score_gemma":0.171663,"teacher_disagreement_score":0.08110853,"about_ca_system_score_codex":0.0006901408,"about_ca_system_score_gemma":0.0005166523,"threshold_uncertainty_score":0.16127288},"labels":[],"label_agreement":null},{"id":"W2392491688","doi":"","title":"Uplift Processes of the Qinghai-Tibet Plateau Interpreted from the Comparison of Yecheng Section and Siwalik Group","year":2001,"lang":"en","type":"article","venue":"","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":"CAE (Canada)","funders":"","keywords":"Plateau (mathematics); Geology; Tectonic uplift; Facies; Geomorphology; Elevation (ballistics); Paleontology; Structural basin; Geometry","score_opus":0.016645934504678668,"score_gpt":0.2228636299155446,"score_spread":0.20621769541086593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2392491688","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":[0.99886703,0.000107253356,0.00010068604,0.000011383134,0.0000013041638,0.0000029136108,0.00014390363,0.000008076239,0.00075738475],"genre_scores_gemma":[0.99919695,0.000057082783,0.00007578499,0.0000042870674,0.0000018701771,0.000003250781,0.00037723265,0.0000023391085,0.0002811906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995625,0.000004301182,0.000004182132,0.000008897283,0.0000057114144,0.000020607351],"domain_scores_gemma":[0.9999099,0.000013412254,0.000022192926,0.000006032234,0.000025574273,0.00002289042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021193446,0.00018061724,0.00010135121,0.0017921892,0.0005271236,0.00059241906,0.00016275409,0.00012148986,0.0010836647],"category_scores_gemma":[0.00018373954,0.00012361586,0.0001941365,0.0017985567,0.0002978735,0.0002254877,0.00028092947,0.00012590963,0.00007879271],"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":[0.00024295342,0.000018009907,0.94770294,0.00007942524,0.00008757131,0.0009011783,0.0026511604,0.0030070562,0.020729009,0.0013900325,0.00038981374,0.022800883],"study_design_scores_gemma":[0.000003295484,0.000011133849,0.9981609,0.000004716486,0.000010367609,0.000058191832,0.00026027096,0.00089130097,0.00021558545,0.00006127694,0.00032000718,0.0000029849718],"about_ca_topic_score_codex":0.06571046,"about_ca_topic_score_gemma":0.08953939,"teacher_disagreement_score":0.06571046,"about_ca_system_score_codex":0.0007821837,"about_ca_system_score_gemma":0.00046655265,"threshold_uncertainty_score":0.13065594},"labels":[],"label_agreement":null},{"id":"W2392902981","doi":"","title":"The changes of cultivated land use efficiency in Heilongjiang Land Reclamation Area","year":2016,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","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":"Science North","funders":"","keywords":"Land reclamation; Index (typography); Malmquist index; Environmental science; Scale (ratio); Technical change; Land use; Agricultural economics; Agricultural engineering; Economics; Geography; Total factor productivity; Productivity; Civil engineering; Computer science; Economic growth; Engineering; Cartography","score_opus":0.028579596235933955,"score_gpt":0.2154239376479054,"score_spread":0.18684434141197145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2392902981","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":[0.999038,0.000071728464,0.00008030075,0.00001895648,0.0000010917744,0.000002693836,0.0003197479,0.000003704509,0.00046381855],"genre_scores_gemma":[0.9991049,0.000058030848,0.00007936546,0.00000401441,0.00000129829,0.0000035683763,0.00034515015,0.0000013513747,0.0004023262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997938,0.000025106623,0.000021482534,0.00004585577,0.00005167088,0.000061998486],"domain_scores_gemma":[0.9996574,0.000038296057,0.00012954697,0.000022797985,0.00011554014,0.000036379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031605762,0.00020079153,0.00012761343,0.0008683533,0.0001621574,0.0004478195,0.00015810647,0.00009473965,0.00056821696],"category_scores_gemma":[0.00042388396,0.00008685821,0.0002340818,0.0014333253,0.00021520123,0.00031957022,0.00021314956,0.00010350522,0.000082958024],"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":[0.00006383031,0.000017135188,0.9827633,0.000027129045,0.000064701824,0.00024235908,0.00055468665,0.0017873431,0.0031340544,0.00015702203,0.00020595481,0.01098244],"study_design_scores_gemma":[8.1441215e-7,0.00000684188,0.9988939,0.0000016213041,0.0000048665547,0.000018148146,0.0001511941,0.00048047738,0.00015876013,0.0000066832413,0.00027470954,0.0000019185113],"about_ca_topic_score_codex":0.078756034,"about_ca_topic_score_gemma":0.09906209,"teacher_disagreement_score":0.078756034,"about_ca_system_score_codex":0.0015759133,"about_ca_system_score_gemma":0.0006084687,"threshold_uncertainty_score":0.15659523},"labels":[],"label_agreement":null},{"id":"W2392911845","doi":"","title":"On Spatial Structwre of Urban System of Huang-Huai-Hai Plain Based on Radarsat Mosaic Image","year":2001,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","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; Geology; Synthetic aperture radar; Mosaic; Geography","score_opus":0.007270226938076482,"score_gpt":0.18817737665852263,"score_spread":0.18090714972044614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2392911845","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":[0.9883879,0.000071652496,0.0059151915,0.000035085875,0.000004249727,0.000024898576,0.00061168714,0.000121432735,0.0048278365],"genre_scores_gemma":[0.9968008,0.00003319047,0.0018685379,0.0000051772718,0.0000026907735,0.000006836326,0.0005609819,0.000005855617,0.0007158446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994147,0.0000042148226,0.0000023118505,0.000020056239,0.000018029428,0.000013965251],"domain_scores_gemma":[0.9999343,0.0000066646667,0.000014574958,0.0000060235056,0.000027124563,0.000011314881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057264973,0.00013429433,0.000094771545,0.0011368359,0.00020526157,0.00035720467,0.00015188451,0.00009044377,0.0008591781],"category_scores_gemma":[0.00010874634,0.00011010984,0.0001286088,0.00094892585,0.00020531069,0.00020609268,0.00017102911,0.00006894547,0.000121442834],"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":[0.00031211865,0.000110308436,0.6747106,0.00017625927,0.00012362185,0.0014019251,0.0023825702,0.06917154,0.10932678,0.00660944,0.003842471,0.13183239],"study_design_scores_gemma":[0.000010829008,0.000021824562,0.8996717,0.000007676684,0.000030716103,0.00022981848,0.0005244428,0.09366716,0.0033781857,0.0003041537,0.0021325932,0.000020982312],"about_ca_topic_score_codex":0.02547061,"about_ca_topic_score_gemma":0.034488115,"teacher_disagreement_score":0.02547061,"about_ca_system_score_codex":0.00028903104,"about_ca_system_score_gemma":0.00032713864,"threshold_uncertainty_score":0.050644696},"labels":[],"label_agreement":null},{"id":"W2392984152","doi":"","title":"Analysis of Polarimetric Reflection Characteristic for Polluted Soil by Petroleum","year":2012,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Petroleum; Polarimetry; Environmental science; Diesel fuel; Oil pollution; Remote sensing; Zenith; Kerosene; Azimuth; Soil science; Geology; Environmental engineering; Engineering; Optics; Chemistry; Waste management","score_opus":0.017480220304214596,"score_gpt":0.24042658293524422,"score_spread":0.22294636263102963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2392984152","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":[0.95692617,0.00029359586,0.04038523,0.000041912543,0.000007034895,0.000008744112,0.00018048732,0.00014697634,0.0020099285],"genre_scores_gemma":[0.9945733,0.00020740865,0.0046000765,0.000015231689,0.0000036542879,0.0000040903647,0.00012371078,0.000013707795,0.00045883714],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998642,0.000016818662,0.000003961741,0.000032294374,0.00006135541,0.000021373771],"domain_scores_gemma":[0.9998665,0.00003744496,0.000029207808,0.000009510281,0.000049021328,0.000008375043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015075243,0.00021517211,0.00014624151,0.0006455046,0.000092433205,0.00018236469,0.0001313637,0.0001995542,0.00086930115],"category_scores_gemma":[0.00026667968,0.00013137585,0.00020334357,0.00054439565,0.00020129204,0.0003358763,0.0001364561,0.00015884494,0.00022331839],"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":[0.00013836617,0.0000110378105,0.011664798,0.00007623639,0.000015890764,0.00010757845,0.00007449155,0.0017929767,0.9693542,0.00016440464,0.000092108035,0.016507844],"study_design_scores_gemma":[0.000021310609,0.00015479386,0.10574597,0.000011810988,0.000086418426,0.0008216928,0.0003413864,0.03892638,0.85186625,0.0003502043,0.0016163936,0.000057466972],"about_ca_topic_score_codex":0.0008708826,"about_ca_topic_score_gemma":0.00094406115,"teacher_disagreement_score":0.0008708826,"about_ca_system_score_codex":0.00009926739,"about_ca_system_score_gemma":0.00007861304,"threshold_uncertainty_score":0.0029081106},"labels":[],"label_agreement":null},{"id":"W2393118930","doi":"","title":"Study on phenol-sulfuric acid method for determination of polysaccharide content in pumpkin seeds","year":2014,"lang":"en","type":"article","venue":"Food and Machinery","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Sulfuric acid; Phenol; Polysaccharide; Chemistry; Chromatography; Phenols; Organic chemistry","score_opus":0.03645062956410151,"score_gpt":0.2663767052952158,"score_spread":0.2299260757311143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393118930","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":[0.8020832,0.014655856,0.17853151,0.00046979915,0.00017765163,0.00025701756,0.000576024,0.0003473023,0.0029016768],"genre_scores_gemma":[0.824574,0.008506099,0.16139424,0.00026016176,0.000056411092,0.00023771096,0.0004270614,0.00007985354,0.004464426],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991493,0.00020863774,0.000051861087,0.00019535767,0.00035311925,0.00004174207],"domain_scores_gemma":[0.9995035,0.0001513438,0.00011620698,0.000025663347,0.00016513068,0.000038232836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009131369,0.00062742096,0.00030891685,0.00089143706,0.00024121624,0.0003687239,0.00028374995,0.0003667596,0.0004706263],"category_scores_gemma":[0.00082390604,0.00026063857,0.00028288667,0.00069838704,0.0002502211,0.00042369062,0.00023733027,0.0006238867,0.00026155065],"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":[0.00006115431,0.000034971614,0.0016598696,0.0003071765,0.000027320439,0.00016644181,0.000097934404,0.00013592321,0.98693126,0.00013747535,0.00010175093,0.010338659],"study_design_scores_gemma":[0.000010831691,0.00046039277,0.00829052,0.000023404464,0.000058421923,0.0007256176,0.00012746861,0.002480675,0.9846097,0.000114597264,0.003061719,0.000036586043],"about_ca_topic_score_codex":0.0018083525,"about_ca_topic_score_gemma":0.0027470028,"teacher_disagreement_score":0.0018083525,"about_ca_system_score_codex":0.00021991103,"about_ca_system_score_gemma":0.00048112433,"threshold_uncertainty_score":0.004829228},"labels":[],"label_agreement":null},{"id":"W2393943578","doi":"","title":"Research on environment and weathering crusts in loess of Chang′an area","year":2000,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"CAE (Canada)","funders":"","keywords":"Weathering; Loess; Geology; Paleosol; Precipitation; Geochemistry; Eluvium; Loess plateau; Geomorphology; Earth science; Physical geography; Soil science; Geography","score_opus":0.0701602790311003,"score_gpt":0.2779880427213828,"score_spread":0.2078277636902825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393943578","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":[0.9997447,0.000030084148,0.000015029634,0.0000073060705,4.0477738e-7,0.0000010394954,0.000024170364,6.3486624e-7,0.00017665102],"genre_scores_gemma":[0.999546,0.00005711111,0.0000455943,0.0000068406353,0.000001367814,0.0000017984909,0.000097073054,3.78425e-7,0.00024387412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999434,0.000007033959,0.000003807423,0.000017966333,0.000008469699,0.000019317607],"domain_scores_gemma":[0.9998851,0.000013425077,0.000031285257,0.0000056610334,0.000023340977,0.000041218907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121303834,0.00012223939,0.00010921534,0.0008931163,0.00044254423,0.00028114303,0.00011162296,0.00011963588,0.00053326215],"category_scores_gemma":[0.00015052334,0.000104372855,0.00011606722,0.0010291032,0.00020353311,0.00021850463,0.00020888548,0.000101244375,0.000043562253],"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":[0.00002037537,0.000024692883,0.987223,0.00002098782,0.000019446505,0.00035185998,0.0024249158,0.00006865005,0.0050429073,0.00007324148,0.000049463422,0.0046804505],"study_design_scores_gemma":[6.275859e-7,0.000009612418,0.998706,0.0000025411098,0.0000034954928,0.00004099489,0.00087542477,0.000053804557,0.0000790036,0.000009649681,0.0002175756,0.0000012163367],"about_ca_topic_score_codex":0.050245926,"about_ca_topic_score_gemma":0.1612355,"teacher_disagreement_score":0.050245926,"about_ca_system_score_codex":0.00048674512,"about_ca_system_score_gemma":0.0004268741,"threshold_uncertainty_score":0.09990698},"labels":[],"label_agreement":null},{"id":"W2394071811","doi":"","title":"Landscape design of center area to the Kangcheng Champagne Town in Baoding","year":2008,"lang":"en","type":"article","venue":"Hebei Journal of Forestry and Orchard Research","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Landscape design; Center (category theory); Geography; Archaeology; Civil engineering; Engineering","score_opus":0.12792755462853836,"score_gpt":0.30228039299732673,"score_spread":0.17435283836878837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394071811","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":[0.90523344,0.00027835538,0.005581554,0.00035131487,0.0000701883,0.00057714945,0.0007968454,0.00018863857,0.08692266],"genre_scores_gemma":[0.9574137,0.00017360409,0.010976522,0.000052710875,0.000010762256,0.0002955435,0.00072364573,0.00004952758,0.030304],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983156,0.000032734515,0.000004024792,0.00004724815,0.00003049389,0.000053884927],"domain_scores_gemma":[0.9998944,0.0000053460712,0.0000055979617,0.0000060527354,0.000049014983,0.00003961307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090955786,0.0001651481,0.00022328284,0.0009098588,0.0022712087,0.00093729,0.0004123356,0.00027321768,0.012719725],"category_scores_gemma":[0.00021221148,0.00014787822,0.00017798647,0.0013340667,0.0006202999,0.00015724347,0.0006045607,0.00026515598,0.0008214086],"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":[0.0020474903,0.0009877929,0.17966191,0.0011383422,0.00012923579,0.008441058,0.027077477,0.018577479,0.22913216,0.034102507,0.04105335,0.45765123],"study_design_scores_gemma":[0.0001518528,0.00078673015,0.76293,0.00020263335,0.00010363937,0.002331865,0.034949835,0.0075122314,0.007170044,0.0018168881,0.1819106,0.00013375185],"about_ca_topic_score_codex":0.09211744,"about_ca_topic_score_gemma":0.45452702,"teacher_disagreement_score":0.09211744,"about_ca_system_score_codex":0.0023730518,"about_ca_system_score_gemma":0.001878664,"threshold_uncertainty_score":0.18316251},"labels":[],"label_agreement":null},{"id":"W2474445233","doi":"10.3390/rs8070568","title":"Estimation of Continuous Urban Sky View Factor from Landsat Data Using Shadow Detection","year":2016,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Ottawa","funders":"Simon Fraser University","keywords":"Environmental science; Lidar; Remote sensing; Pixel; Meteorology; Geography; Computer science","score_opus":0.042699521145484524,"score_gpt":0.2485186891208417,"score_spread":0.20581916797535718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474445233","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":[0.93455034,0.0000839055,0.06227321,0.000013312455,0.000004605609,0.0000482646,0.001388457,0.00047986588,0.0011580643],"genre_scores_gemma":[0.9696712,0.000034162626,0.028713984,0.000004207999,0.0000034115853,0.000021363667,0.0013944398,0.000033296157,0.00012394879],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997907,0.000032629832,0.000013515862,0.000061322295,0.000074542484,0.000027356378],"domain_scores_gemma":[0.99955493,0.00011526428,0.000084190615,0.0000582576,0.0001648987,0.000022349497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037594952,0.0003729177,0.00023588222,0.0018351838,0.00015509709,0.00043696,0.00025513384,0.00019047053,0.00040810206],"category_scores_gemma":[0.0011597566,0.00018389255,0.00037945618,0.001368046,0.000200777,0.0005348707,0.0003070772,0.00013990876,0.00022159547],"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":[0.000270526,0.00014996478,0.555697,0.00019555495,0.00022570552,0.0002258358,0.0005103383,0.14832184,0.04575566,0.001040288,0.0014087418,0.2461985],"study_design_scores_gemma":[0.000022197251,0.000054623437,0.44922853,0.00001867067,0.000040025225,0.00011508268,0.00024123181,0.5367258,0.01146847,0.0005395594,0.0014959017,0.00004989616],"about_ca_topic_score_codex":0.016761206,"about_ca_topic_score_gemma":0.027643984,"teacher_disagreement_score":0.016761206,"about_ca_system_score_codex":0.0004671964,"about_ca_system_score_gemma":0.00038906178,"threshold_uncertainty_score":0.03332728},"labels":[],"label_agreement":null},{"id":"W2546446308","doi":"10.1109/igarss.2016.7729401","title":"A vectorization method of building edge based on high resolution DSM data","year":2016,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"University of Waterloo","funders":"","keywords":"Vectorization (mathematics); Computer science; Regularization (linguistics); Combing; Enhanced Data Rates for GSM Evolution; Point (geometry); Artificial intelligence; Data mining; Computer vision; Mathematics; Parallel computing; Geometry","score_opus":0.03931103159940604,"score_gpt":0.2698714438400465,"score_spread":0.23056041224064047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546446308","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003174574,0.000039597588,0.99578637,0.000019945259,0.00001826395,0.000033309963,0.00006769463,0.00047904567,0.00038123617],"genre_scores_gemma":[0.06598067,0.00020703101,0.9306292,0.000022470762,0.000030143048,0.00010014822,0.00068687525,0.00019876815,0.0021447807],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959666,0.000051369156,0.000025760146,0.0001352575,0.00015734606,0.000033752003],"domain_scores_gemma":[0.99966145,0.000040158826,0.000032382366,0.000047812096,0.00020115272,0.000016981141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044380085,0.00073975767,0.0005461851,0.00178974,0.0003860669,0.0009381155,0.00088700594,0.00034221922,0.0022448364],"category_scores_gemma":[0.000723838,0.00045566977,0.0007238218,0.0017378127,0.00033794547,0.0010948995,0.0005343296,0.0007826348,0.0012181777],"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":[0.000072509705,0.000076465316,0.0019327949,0.0002388827,0.000054225904,0.00006560416,0.00015696294,0.043841798,0.0886134,0.009673205,0.0035934574,0.85168064],"study_design_scores_gemma":[0.000020576214,0.00006985569,0.004321322,0.00002129639,0.000039359198,0.00022209133,0.00010884671,0.9400318,0.04054837,0.004061082,0.010478939,0.00007657958],"about_ca_topic_score_codex":0.00400142,"about_ca_topic_score_gemma":0.0040418915,"teacher_disagreement_score":0.00400142,"about_ca_system_score_codex":0.0003345416,"about_ca_system_score_gemma":0.0010046073,"threshold_uncertainty_score":0.007956207},"labels":[],"label_agreement":null},{"id":"W2570238107","doi":"10.1111/1755-0998.12653","title":"Spatial detection of outlier loci with Moran eigenvector maps","year":2017,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":25,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Duke University","keywords":"Biology; Anomaly detection; Outlier; Cartography; Spatial analysis; Eigenvalues and eigenvectors; Computational biology; Evolutionary biology; Pattern recognition (psychology); Statistics; Artificial intelligence; Computer science; Mathematics","score_opus":0.006643532203069538,"score_gpt":0.18953736341869498,"score_spread":0.18289383121562544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570238107","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18453342,0.00022334495,0.8120935,0.00010884642,0.000031342206,0.00010933206,0.0005666647,0.0012557722,0.0010778541],"genre_scores_gemma":[0.6671586,0.00009430019,0.3306716,0.0000521103,0.000032239404,0.00018550445,0.00089403125,0.00020269763,0.0007089698],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980642,0.00096197263,0.00011055181,0.00038803025,0.00037776082,0.00009754089],"domain_scores_gemma":[0.9886867,0.00742008,0.0012479761,0.0013187277,0.0011451908,0.00018137392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035045743,0.00050587393,0.00061307324,0.0026956634,0.0003637461,0.0009029218,0.00080155185,0.00057171576,0.0016135774],"category_scores_gemma":[0.018789493,0.00027644084,0.0008377894,0.0015469135,0.0006136225,0.0009853687,0.0012864096,0.00069649576,0.000417345],"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":[0.0010683325,0.0002875312,0.14337596,0.00069891376,0.00077877095,0.0011545558,0.0014221276,0.1853169,0.06559524,0.045275114,0.004570025,0.5504565],"study_design_scores_gemma":[0.000051952742,0.00011790962,0.028913394,0.00003630326,0.00006414672,0.00033137866,0.00014007563,0.9249734,0.011757838,0.029806305,0.0037073335,0.00009986686],"about_ca_topic_score_codex":0.0013696828,"about_ca_topic_score_gemma":0.0015442896,"teacher_disagreement_score":0.0035045743,"about_ca_system_score_codex":0.00034534556,"about_ca_system_score_gemma":0.00046832897,"threshold_uncertainty_score":0.018534184},"labels":[],"label_agreement":null},{"id":"W2600022309","doi":"","title":"Environmental Factors Influencing 20th Century Diurnal Temperature Range Variations","year":2011,"lang":"en","type":"article","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Remote Sensing and Land Use","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":"Diurnal temperature variation; Environmental science; Range (aeronautics); Climatology; Geography; Meteorology; Geology; Engineering","score_opus":0.00822301703773254,"score_gpt":0.1612542685898596,"score_spread":0.15303125155212707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600022309","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":[0.9704917,0.001293487,0.00092262786,0.00077858055,0.000067927525,0.000010493471,0.0021827535,0.00004627495,0.024206158],"genre_scores_gemma":[0.9981523,0.0004282108,0.0001967302,0.000032382763,0.00005390165,0.0000043402883,0.00055622356,0.000017140588,0.0005588025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998229,0.000038378603,0.0000133466665,0.00005013678,0.00003273698,0.000042454954],"domain_scores_gemma":[0.99959904,0.00006445284,0.00012308027,0.000032794607,0.00013185322,0.000048714788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043547092,0.00010202513,0.0001167961,0.0005086794,0.00036425932,0.00084284996,0.00012436688,0.0001681213,0.0022335504],"category_scores_gemma":[0.001449437,0.00006283944,0.00014170386,0.0008401181,0.0002206981,0.0002916922,0.00026818403,0.0002496811,0.0002633568],"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":[0.000087326975,0.000034485514,0.960335,0.000064006694,0.00007243777,0.00020627925,0.0014848206,0.0022852377,0.0025980663,0.0035051692,0.003511625,0.025815569],"study_design_scores_gemma":[0.000001666616,0.000007532476,0.9912068,0.000010724251,0.000008377719,0.000051703217,0.00033197165,0.00054150337,0.00018361684,0.00019371178,0.007457337,0.0000050495855],"about_ca_topic_score_codex":0.021029763,"about_ca_topic_score_gemma":0.059639055,"teacher_disagreement_score":0.021029763,"about_ca_system_score_codex":0.0007373334,"about_ca_system_score_gemma":0.0003026039,"threshold_uncertainty_score":0.041814744},"labels":[],"label_agreement":null},{"id":"W2607573532","doi":"10.5555/arwg.2.2.fj5556t72562vv27","title":"Using Satellite Images to Detect Land-Use Change in Al-'Ain City, United Arab Emirates","year":2011,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remote sensing; Change detection; Ground truth; Satellite; Land cover; Land use; Geography; Satellite imagery; Cartography; Environmental science; Physical geography; Computer science; Artificial intelligence","score_opus":0.06851846466552454,"score_gpt":0.2592769362688389,"score_spread":0.19075847160331438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607573532","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":[0.99771214,0.0001105727,0.00028401357,0.00003004269,0.0000035322234,0.000037922,0.00032948353,0.000010748102,0.0014815395],"genre_scores_gemma":[0.9902767,0.00033749558,0.006273554,0.000041518506,0.0000071058107,0.00006615696,0.0016015209,0.0000046326495,0.001391397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987185,0.00003203954,0.000009129421,0.000018391216,0.000046213427,0.000022331778],"domain_scores_gemma":[0.99981993,0.000021400525,0.000036882648,0.000012081349,0.00009682695,0.0000129702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002938675,0.00023180529,0.00010740875,0.0015624401,0.00023607122,0.0003915848,0.00013223766,0.0001923241,0.000362916],"category_scores_gemma":[0.00043064,0.00015121285,0.00012906126,0.0012610165,0.00017945848,0.00019887247,0.00016397361,0.00013958203,0.00011311782],"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":[0.00020629437,0.00039980016,0.8484783,0.00013509877,0.00017402205,0.00048787563,0.0016960258,0.0028976249,0.020695824,0.00023932525,0.0019090386,0.12268085],"study_design_scores_gemma":[0.000011181406,0.000058709713,0.9917093,0.000010551308,0.000022100856,0.00008118523,0.0011224248,0.0027112556,0.002060388,0.000027267708,0.002178233,0.0000074263075],"about_ca_topic_score_codex":0.08769611,"about_ca_topic_score_gemma":0.20923822,"teacher_disagreement_score":0.08769611,"about_ca_system_score_codex":0.00044287616,"about_ca_system_score_gemma":0.00043488495,"threshold_uncertainty_score":0.1743713},"labels":[],"label_agreement":null},{"id":"W2662539824","doi":"10.5555/arwg.3.2.r1r7840m633848r3","title":"Asian 30-Second Land Cover Dataset","year":2011,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Normalized Difference Vegetation Index; Land cover; Thematic map; Ground truth; Cover (algebra); Remote sensing; Geography; Vegetation (pathology); Vegetation Index; Physical geography; Land use; Environmental science; Cartography; Geology; Computer science; Ecology; Artificial intelligence","score_opus":0.018310990304143113,"score_gpt":0.2055674579307321,"score_spread":0.18725646762658898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2662539824","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051316204,0.00006636461,0.00039510516,0.00005085067,0.000023437138,0.000102330465,0.9909966,0.00049829576,0.002735493],"genre_scores_gemma":[0.002525321,0.00002754995,0.0006858271,0.000018532075,0.000004305873,0.00013784016,0.9957111,0.00003174935,0.0008578119],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994715,0.00006314122,0.00008557495,0.00013170645,0.00015805858,0.00009005787],"domain_scores_gemma":[0.99862516,0.00008951974,0.000114072864,0.00034169795,0.0006858192,0.0001437688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078421633,0.0013444448,0.0010528148,0.0024910423,0.00048694,0.00074099656,0.001613032,0.0006119183,0.017909544],"category_scores_gemma":[0.001028789,0.00029357738,0.0008000938,0.005018442,0.00022166755,0.00068161596,0.000887407,0.0008586842,0.031664178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043190256,0.00030486778,0.01125681,0.00074568944,0.0001539093,0.0003124364,0.00014435075,0.0029477377,0.002410784,0.0010629839,0.9509564,0.029272176],"study_design_scores_gemma":[0.00044747436,0.00012062425,0.10374092,0.00016410233,0.000117762145,0.00041383272,0.00046678304,0.010053517,0.005623422,0.0010811075,0.8776666,0.00010397141],"about_ca_topic_score_codex":0.02766655,"about_ca_topic_score_gemma":0.03953389,"teacher_disagreement_score":0.02766655,"about_ca_system_score_codex":0.00077808637,"about_ca_system_score_gemma":0.0016640123,"threshold_uncertainty_score":0.059913456},"labels":[],"label_agreement":null},{"id":"W2715069849","doi":"10.1080/01431161.2017.1325530","title":"The application of discriminant analysis for mapping cereals and pasture using object-based features","year":2017,"lang":"en","type":"article","venue":"International Journal of Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Canadian Space Agency","keywords":"Pasture; Linear discriminant analysis; Object (grammar); Discriminant; Computer science; Pattern recognition (psychology); Artificial intelligence; Remote sensing; Environmental science; Agronomy; Geography; Biology","score_opus":0.026754621926231136,"score_gpt":0.2893967097947528,"score_spread":0.26264208786852167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2715069849","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":[0.36082655,0.0008423823,0.63443387,0.00013424098,0.0000420998,0.00011483499,0.0006824026,0.0004918401,0.002431757],"genre_scores_gemma":[0.6753394,0.00045348503,0.32227334,0.000041794472,0.000015502523,0.00006844217,0.0006036105,0.000039624138,0.0011647876],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99960536,0.00012527483,0.000028088718,0.000114096234,0.00010552015,0.000021565611],"domain_scores_gemma":[0.99920374,0.00041037102,0.00010317262,0.0000901597,0.00017135202,0.000021198486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001739366,0.00063549826,0.00041836093,0.0019527689,0.00026846313,0.00077295315,0.0004138821,0.00027633988,0.00050734705],"category_scores_gemma":[0.0018654286,0.00018570003,0.0005398425,0.001350081,0.0002740771,0.00053309347,0.00034863665,0.0003889105,0.000315353],"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":[0.00016261745,0.0001936094,0.12117429,0.00036107,0.00041799736,0.00014940344,0.00046666295,0.03520978,0.0858333,0.0023513911,0.0012131174,0.7524668],"study_design_scores_gemma":[0.000043262604,0.00043262672,0.2945118,0.00008858728,0.00021973877,0.00046251333,0.0008264675,0.63243324,0.056239713,0.0053498927,0.009251965,0.00014030526],"about_ca_topic_score_codex":0.0051810597,"about_ca_topic_score_gemma":0.008807757,"teacher_disagreement_score":0.0051810597,"about_ca_system_score_codex":0.0003242457,"about_ca_system_score_gemma":0.00035664105,"threshold_uncertainty_score":0.010301828},"labels":[],"label_agreement":null},{"id":"W2736058600","doi":"","title":"Urban Heat Island Research of Enugu Urban: A Review","year":2015,"lang":"en","type":"review","venue":"Environmental Reviews","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Urban heat island; Urbanization; Process (computing); Geography; Urban climate; Environmental planning; Meteorology; Computer science; Economic growth","score_opus":0.1670232892850641,"score_gpt":0.3675623884888118,"score_spread":0.20053909920374768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736058600","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":[0.00016048277,0.9994593,0.000020424863,0.00010573016,0.000046271474,0.000008122667,0.000013793647,0.0000011346252,0.00018471807],"genre_scores_gemma":[0.0010502668,0.9986941,0.00007690653,0.0000613889,0.00003406967,0.000010421457,0.00001401764,5.0632434e-7,0.000058247966],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992368,0.00021331303,0.00024696556,0.00008761549,0.00017091297,0.000044415086],"domain_scores_gemma":[0.997329,0.0017127398,0.00044214414,0.00003371184,0.00041404887,0.00006828397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014454962,0.0008995347,0.001969234,0.007281911,0.00052834663,0.0018693579,0.0009378175,0.0011866767,0.003580209],"category_scores_gemma":[0.003986874,0.00051233993,0.0016598753,0.007518031,0.00046424355,0.0016162874,0.0008034869,0.0008164024,0.00045417043],"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":[0.00010617364,0.0000920226,0.001329163,0.52128774,0.0007057075,0.00055919494,0.0007980867,0.0002010921,0.00065938325,0.0017089193,0.013086377,0.45946613],"study_design_scores_gemma":[0.00003600155,0.00027212442,0.010585123,0.39233783,0.004823181,0.0038656383,0.0018065603,0.00012880767,0.00058619224,0.0009982036,0.5845079,0.000052451633],"about_ca_topic_score_codex":0.005500897,"about_ca_topic_score_gemma":0.014046559,"teacher_disagreement_score":0.007281911,"about_ca_system_score_codex":0.0010767115,"about_ca_system_score_gemma":0.0052171824,"threshold_uncertainty_score":0.011977017},"labels":[],"label_agreement":null},{"id":"W2751207572","doi":"","title":"SPATIOTEMPORAL VARIABILITY OF HUMIDITY ACROSS THE CONTIGUOUS UNITED STATES AND SOUTHERN CANADA USING REGIONAL NETWORKS","year":2017,"lang":"en","type":"article","venue":"The Mathematics Enthusiast","topic":"Remote Sensing and Land Use","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":"Geography; Climatology; Humidity; Environmental science; Meteorology; Physical geography; Geology","score_opus":0.034737107430751424,"score_gpt":0.24576819358122634,"score_spread":0.21103108615047492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751207572","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":[0.9567611,0.00103808,0.0016301466,0.00040935632,0.000020389078,0.00005508087,0.033827618,0.00015048418,0.0061075846],"genre_scores_gemma":[0.97678864,0.0011298659,0.0031796778,0.00003713642,0.000011597365,0.000027693544,0.016884282,0.000028502767,0.0019126177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996593,0.00004461939,0.000020624213,0.000096772725,0.000108009575,0.00007078558],"domain_scores_gemma":[0.99881965,0.00017763955,0.00012056453,0.000068490655,0.0007114905,0.00010214493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056033436,0.00025720155,0.00025003558,0.002261621,0.0006914147,0.0014569598,0.0005978568,0.0001776345,0.0007725713],"category_scores_gemma":[0.002161566,0.00015414951,0.0003612128,0.0074031046,0.00028066337,0.00031931928,0.00056767813,0.00030290984,0.00011817292],"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":[0.00013107789,0.000040005067,0.92289066,0.00013569118,0.0003308293,0.00029727526,0.0016066243,0.026622482,0.0008653147,0.0026381423,0.010760695,0.033681236],"study_design_scores_gemma":[0.000011008154,0.00000972395,0.9480041,0.000069531496,0.00007829589,0.00005102143,0.001969564,0.03672239,0.00032201453,0.0002570028,0.01246992,0.000035370645],"about_ca_topic_score_codex":0.99083406,"about_ca_topic_score_gemma":0.9930044,"teacher_disagreement_score":0.013092288,"about_ca_system_score_codex":0.013092288,"about_ca_system_score_gemma":0.009034915,"threshold_uncertainty_score":0.094991624},"labels":[],"label_agreement":null},{"id":"W2762363893","doi":"","title":"An evaluation of high-resolution land cover and land use classification accuracy by thematic, spatial, and algorithm parameters","year":2017,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":4,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thematic map; Land cover; High resolution; Land use; Algorithm; Resolution (logic); Computer science; Geography; Data mining; Cartography; Remote sensing; Artificial intelligence; Engineering; Civil engineering","score_opus":0.029271556131403392,"score_gpt":0.2329535874720999,"score_spread":0.2036820313406965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762363893","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":[0.9140427,0.00060532265,0.07983217,0.00019017718,0.000050705275,0.00018250097,0.00092821487,0.0010719008,0.0030963237],"genre_scores_gemma":[0.935428,0.00015535882,0.062673844,0.000036896483,0.000013781385,0.000072434836,0.0008988894,0.00012202874,0.00059869775],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99377877,0.0022771033,0.00079075777,0.0007390934,0.0021236397,0.0002906362],"domain_scores_gemma":[0.96703666,0.021748913,0.0016223356,0.0024113788,0.0069767307,0.00020391378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012395973,0.00078264636,0.00074554817,0.0020708917,0.00053460087,0.0017682683,0.00054459466,0.00095535687,0.00092651154],"category_scores_gemma":[0.03304047,0.00028158375,0.0006790918,0.0019099623,0.0005359143,0.0018152645,0.0005724339,0.00042246882,0.0006870869],"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":[0.003366998,0.0007123929,0.3609949,0.0006814489,0.0011539708,0.00033533742,0.0015280677,0.1433212,0.054040547,0.0013001235,0.0026356003,0.42992944],"study_design_scores_gemma":[0.00010487108,0.0012840347,0.3380404,0.00011509204,0.00045747764,0.00050535233,0.0012368876,0.58568513,0.06802427,0.0012072234,0.003182364,0.00015680143],"about_ca_topic_score_codex":0.0033637388,"about_ca_topic_score_gemma":0.0035236164,"teacher_disagreement_score":0.012395973,"about_ca_system_score_codex":0.0004922166,"about_ca_system_score_gemma":0.00033011087,"threshold_uncertainty_score":0.065557},"labels":[],"label_agreement":null},{"id":"W2763365034","doi":"","title":"Multi-Scale Change Detection Research of Remotely Sensed Big Data in CyberGIS","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Scale (ratio); Change detection; Remote sensing; Big data; Computer science; Geography; Data science; Environmental science; Cartography; Data mining","score_opus":0.2952084339393663,"score_gpt":0.33672417295981727,"score_spread":0.04151573902045097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763365034","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":[0.8024858,0.0022530803,0.18036051,0.0029014077,0.0003044112,0.000099361554,0.0017561539,0.0009288091,0.008910498],"genre_scores_gemma":[0.96010333,0.0005397046,0.037456904,0.000114833485,0.00007957774,0.000024465273,0.00086323835,0.00007838368,0.0007396908],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992367,0.00019961767,0.000050575138,0.00024128346,0.00021594336,0.000055780813],"domain_scores_gemma":[0.99647456,0.0016886055,0.00042451755,0.000550523,0.0006888787,0.00017292901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020301938,0.00038897147,0.00044193654,0.0024582106,0.0003954696,0.0024308215,0.00071442075,0.00036931314,0.0019913171],"category_scores_gemma":[0.0065969964,0.00034606503,0.00059855037,0.003590911,0.000794997,0.004817366,0.00092397747,0.0008095271,0.00022994257],"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":[0.0003375967,0.0004072469,0.29728106,0.00052654115,0.0006296928,0.0005748875,0.0014772431,0.1631873,0.012193358,0.053378284,0.011867571,0.45813933],"study_design_scores_gemma":[0.000023662269,0.00008557277,0.13994563,0.00007689883,0.00010848104,0.00019916463,0.0016963667,0.8071221,0.005529492,0.037454274,0.007717258,0.00004120045],"about_ca_topic_score_codex":0.008753266,"about_ca_topic_score_gemma":0.008004456,"teacher_disagreement_score":0.008753266,"about_ca_system_score_codex":0.0009363073,"about_ca_system_score_gemma":0.00068093644,"threshold_uncertainty_score":0.017404616},"labels":[],"label_agreement":null},{"id":"W2763640585","doi":"","title":"Land Use Change and Temperature Trends Over the Canadian Agricultural Regions","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Climate change; Land use; Land use, land-use change and forestry; Agricultural land; Geography; Environmental science; Physical geography; Geology; Archaeology","score_opus":0.022301274398704156,"score_gpt":0.19679138750784148,"score_spread":0.1744901131091373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763640585","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":[0.9326197,0.00305679,0.0002909397,0.0028826364,0.00007622569,0.00003899165,0.045473885,0.00007890951,0.015481813],"genre_scores_gemma":[0.9836285,0.0015609391,0.00033380953,0.00021321332,0.000017781667,0.000014100397,0.0079091545,0.000019207853,0.0063033137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950504,0.000018599476,0.00002336631,0.00007494889,0.00019108229,0.00018691168],"domain_scores_gemma":[0.9983991,0.000062337866,0.00011283473,0.000030999792,0.0012308029,0.00016395905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044576245,0.00035356058,0.00030855744,0.0022353427,0.0024364602,0.0014652063,0.0009855519,0.00042271698,0.0042033233],"category_scores_gemma":[0.0015496637,0.00023874761,0.0006102508,0.007923426,0.000589939,0.00065091887,0.0006423707,0.00061412295,0.00039322194],"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":[0.00038036885,0.0000701754,0.9231971,0.000230883,0.00025791075,0.00019939608,0.0018916478,0.0034562305,0.0017229102,0.0016092528,0.024658877,0.042325404],"study_design_scores_gemma":[0.000006111328,0.000004634114,0.9902856,0.00002382592,0.000027890996,0.000018396064,0.00084786926,0.0008234505,0.00015300672,0.00004741193,0.0077476106,0.000014293187],"about_ca_topic_score_codex":0.99941945,"about_ca_topic_score_gemma":0.99977416,"teacher_disagreement_score":0.050580055,"about_ca_system_score_codex":0.050580055,"about_ca_system_score_gemma":0.049313553,"threshold_uncertainty_score":0.36698568},"labels":[],"label_agreement":null},{"id":"W2763730597","doi":"10.3969/j.issn.1002-6819.2013.5.017","title":"Plant leaf image classification based on supervised orthogonal locality preserving projections","year":2013,"lang":"en","type":"article","venue":"Nongye gongcheng xuebao","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Locality; Artificial intelligence; Pattern recognition (psychology); Image processing; Computer science; Mathematics; Image (mathematics); Computer vision","score_opus":0.03193428799853117,"score_gpt":0.2273435975526111,"score_spread":0.19540930955407992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763730597","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":[0.21617843,0.000275608,0.77926624,0.00016658955,0.000036505913,0.00009940366,0.0003418144,0.0013728457,0.002262444],"genre_scores_gemma":[0.7977775,0.0003333485,0.19610234,0.00010509701,0.00007647094,0.00017942904,0.0012894324,0.00009850089,0.004037822],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961144,0.000059140006,0.0000149169855,0.00013626422,0.0001284289,0.000049829334],"domain_scores_gemma":[0.9997124,0.000058274334,0.000036104422,0.000051350762,0.00011009322,0.00003168478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029647816,0.00051115605,0.00087223254,0.0009796979,0.00041334782,0.0005570382,0.0006499754,0.0004803872,0.0009806718],"category_scores_gemma":[0.00047644094,0.00026860804,0.00072464725,0.000966038,0.00038433273,0.0011368553,0.00066573464,0.000615549,0.0004849776],"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":[0.0006617434,0.0005607992,0.00844366,0.00022232081,0.00015709136,0.00013965482,0.0001892841,0.037133772,0.13660051,0.0034797974,0.004714443,0.80769694],"study_design_scores_gemma":[0.00002848139,0.0001098057,0.005636751,0.000007217167,0.000054381562,0.00012867457,0.00008131106,0.9729064,0.018016705,0.0020558373,0.0009526815,0.000021724336],"about_ca_topic_score_codex":0.002134436,"about_ca_topic_score_gemma":0.0035826815,"teacher_disagreement_score":0.002134436,"about_ca_system_score_codex":0.00019556744,"about_ca_system_score_gemma":0.00077513943,"threshold_uncertainty_score":0.0042440295},"labels":[],"label_agreement":null},{"id":"W2768698293","doi":"10.5539/jsd.v10n6p214","title":"Evaluation of Sustainability of Zhengzhou’s Land Use","year":2017,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Land use; Asset (computer security); Reproduction; Environmental resource management; Index (typography); Resource (disambiguation); Population; Business; Geography; Natural resource economics; Economics; Ecology; Computer science","score_opus":0.03680762114548309,"score_gpt":0.27117596797595794,"score_spread":0.23436834683047486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768698293","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":[0.9934223,0.00023960031,0.0018959251,0.00007236535,0.0000046205973,0.000029326546,0.00050955307,0.000025488627,0.0038008925],"genre_scores_gemma":[0.99871373,0.00009752974,0.00051690993,0.0000037277384,0.0000021712974,0.000014980424,0.0003366275,0.0000028012096,0.0003115884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993717,0.00011691014,0.000068537985,0.00006833513,0.00029459313,0.000079912286],"domain_scores_gemma":[0.9994204,0.000099239565,0.000114774935,0.000044450117,0.00027163376,0.00004957426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080359034,0.00029365462,0.0002499812,0.0026759694,0.00037354464,0.0010171836,0.00015542738,0.00018632042,0.0007568384],"category_scores_gemma":[0.0013116192,0.000091539296,0.00040835736,0.0033715987,0.00035402167,0.0007216058,0.000719961,0.00011946772,0.00007434332],"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":[0.000072212664,0.00005111779,0.9060938,0.00014527205,0.00025014777,0.00024386168,0.001035316,0.009797816,0.0045491736,0.0018488285,0.000868461,0.07504405],"study_design_scores_gemma":[0.0000034954426,0.00008291152,0.98253816,0.00001966557,0.00008863194,0.000056721405,0.0017059677,0.009361072,0.0023147485,0.00072110083,0.0030887225,0.000018837562],"about_ca_topic_score_codex":0.015917001,"about_ca_topic_score_gemma":0.025717808,"teacher_disagreement_score":0.015917001,"about_ca_system_score_codex":0.0017724818,"about_ca_system_score_gemma":0.0010117857,"threshold_uncertainty_score":0.031648695},"labels":[],"label_agreement":null},{"id":"W2768862158","doi":"10.1130/abs/2017ne-291579","title":"THE EFFECT OF URBANIZATION ON THE MORPHOLOGICAL EVOLUTION OF SCHNEIDER CREEK IN SOUTHWESTERN ONTARIO","year":2017,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Geology; Geography; Ecology; Biology","score_opus":0.016721336362452807,"score_gpt":0.22051119528034327,"score_spread":0.20378985891789048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768862158","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":[0.9970402,0.00007672836,0.000047232716,0.00011294259,0.0000026937928,0.0000062766376,0.0006357676,0.000004192402,0.002073962],"genre_scores_gemma":[0.99812526,0.0000684014,0.00009136279,0.000013170835,0.0000013349652,0.0000053259155,0.0003068387,0.0000038131377,0.0013845072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996973,0.000034402794,0.000016027814,0.000072002054,0.00007167894,0.000108745044],"domain_scores_gemma":[0.9988707,0.00012431262,0.00028843962,0.0000468556,0.00044350213,0.00022619643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022409714,0.00009963963,0.00017356267,0.0009847432,0.0020096218,0.0009689886,0.0006307085,0.00026660136,0.0035518915],"category_scores_gemma":[0.0009876329,0.00020102525,0.00028635023,0.001896207,0.001078304,0.00033078063,0.0007007104,0.00025921434,0.00026496666],"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":[0.000105035,0.000014251114,0.9875307,0.000023872202,0.000031179643,0.00019282888,0.00436916,0.0002030833,0.001985661,0.00031619667,0.00082766055,0.004400435],"study_design_scores_gemma":[8.2446905e-7,0.0000027836795,0.99743384,0.0000036112165,0.0000025466372,0.000016373877,0.0019513387,0.000043612315,0.000032588257,0.00000916936,0.0005017693,0.000001559095],"about_ca_topic_score_codex":0.96374696,"about_ca_topic_score_gemma":0.9959603,"teacher_disagreement_score":0.036253035,"about_ca_system_score_codex":0.013147057,"about_ca_system_score_gemma":0.008018693,"threshold_uncertainty_score":0.09538901},"labels":[],"label_agreement":null},{"id":"W2773506193","doi":"10.1109/igarss.2017.8127752","title":"Post-typhoon assessment of surface greenness disturbance using Landsat series observations","year":2017,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Typhoon; Environmental science; Urbanization; Context (archaeology); Disturbance (geology); Extreme weather; Climatology; Global warming; Bay; Satellite; Remote sensing; Climate change; Meteorology; Physical geography; Geography; Geology; Oceanography","score_opus":0.05106727004921732,"score_gpt":0.27597884460266137,"score_spread":0.22491157455344404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773506193","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":[0.99835736,0.00002127067,0.00039022657,0.000009168463,0.0000024506412,0.00001307952,0.0007236888,0.000019075742,0.00046361174],"genre_scores_gemma":[0.99811906,0.000026380912,0.00054164254,0.00000540254,0.0000021711141,0.000010290108,0.0011077302,0.0000022906574,0.00018500682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999899,0.000015252184,0.00001215537,0.000021743192,0.000027141485,0.000024653305],"domain_scores_gemma":[0.99972445,0.000027079974,0.000096335556,0.000025580799,0.000076205375,0.0000504825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033389893,0.00027570015,0.00015179213,0.0011282386,0.00016507773,0.00033550026,0.00014333762,0.00019383372,0.00043484147],"category_scores_gemma":[0.0003119489,0.000090563386,0.00020633274,0.00095606345,0.00017703896,0.00028938096,0.00027922398,0.00013049315,0.00010088307],"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":[0.00018424966,0.00008175943,0.9689943,0.000034695007,0.00007653001,0.00021624491,0.00032579628,0.0056625404,0.011244753,0.00006738149,0.00041275413,0.012699001],"study_design_scores_gemma":[0.0000022491565,0.000026357984,0.9936971,0.0000020347184,0.0000072496896,0.000017624652,0.00017055956,0.005409411,0.00048095552,0.0000141761975,0.00016959125,0.0000026939629],"about_ca_topic_score_codex":0.020095455,"about_ca_topic_score_gemma":0.04297223,"teacher_disagreement_score":0.020095455,"about_ca_system_score_codex":0.00032637478,"about_ca_system_score_gemma":0.0002637777,"threshold_uncertainty_score":0.039956987},"labels":[],"label_agreement":null},{"id":"W2783687006","doi":"","title":"IDENTIFICATION AND MANAGEMENT OF RISK IN PRODUCTION AGRICULTURE: THE CASE OF SASKATCHEWAN GRAIN AND OILSEED FARMERS","year":2018,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Remote Sensing and Land Use","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":"Identification (biology); Production (economics); Agriculture; Business; Agricultural science; Crop production; Agricultural economics; Agroforestry; Agronomy; Environmental science; Geography; Biology; Economics; Botany","score_opus":0.0045225410040838614,"score_gpt":0.1585019175018235,"score_spread":0.15397937649773963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783687006","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":[0.9976119,0.00003791345,0.00012224137,0.00053279323,0.0000017565677,0.000025064974,0.000018110495,0.0000014282251,0.0016487766],"genre_scores_gemma":[0.9975841,0.00018100764,0.00029363798,0.00014240455,0.0000014793924,0.000015677764,0.000022932769,0.0000014351446,0.0017574432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888223,0.00050178944,0.000033642336,0.00007435885,0.00012983338,0.00037811298],"domain_scores_gemma":[0.9981628,0.0008477742,0.00022494413,0.00008407857,0.0003165853,0.00036378534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001513821,0.0003149576,0.00024499593,0.00069035526,0.0048913527,0.0024602942,0.00083864364,0.0010628692,0.0016650028],"category_scores_gemma":[0.0018941947,0.0002807672,0.00037145964,0.0014762881,0.0017333044,0.00092302053,0.0020303358,0.0009840834,0.00017052788],"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":[0.0003961364,0.0009816587,0.69326913,0.00018903612,0.00017079717,0.03588066,0.203365,0.006804191,0.007631918,0.0051782713,0.0020962022,0.044036962],"study_design_scores_gemma":[0.000035272333,0.00031318757,0.35183334,0.00013356426,0.00008535942,0.0016988355,0.62894017,0.0075909924,0.0008594644,0.002321413,0.006101448,0.000086954286],"about_ca_topic_score_codex":0.6402528,"about_ca_topic_score_gemma":0.79275465,"teacher_disagreement_score":0.35974717,"about_ca_system_score_codex":0.015157462,"about_ca_system_score_gemma":0.011216492,"threshold_uncertainty_score":0.7237316},"labels":[],"label_agreement":null},{"id":"W2786714294","doi":"","title":"Quantifying spatial variability using semivariograms","year":2010,"lang":"en","type":"book","venue":"LAP LAMBERT Academic Publishing eBooks","topic":"Remote Sensing and Land Use","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; Scale (ratio); Image resolution; Spatial ecology; Sampling (signal processing); Spatial variability; Range (aeronautics); Temporal scales; Environmental science; Field (mathematics); Geography; Computer science; Cartography; Mathematics; Artificial intelligence; Statistics; Engineering; Computer vision; Ecology","score_opus":0.049851382945423225,"score_gpt":0.2606761020343338,"score_spread":0.21082471908891054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786714294","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025985032,0.0027033018,0.94811976,0.00024884372,0.00012267426,0.00004471997,0.0025112894,0.0060097985,0.014254525],"genre_scores_gemma":[0.30950466,0.0048707137,0.6658944,0.00011744572,0.00015309718,0.00011739868,0.006913545,0.0017593135,0.010669504],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991773,0.00021447605,0.000049556576,0.0001322603,0.0003944111,0.000032069904],"domain_scores_gemma":[0.9982951,0.0011133987,0.00013571464,0.00020486827,0.00022305571,0.000027889131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012008728,0.0008036469,0.00049062277,0.0050284923,0.00018739818,0.0029015378,0.00048912945,0.00033398013,0.004233895],"category_scores_gemma":[0.0036787936,0.00033294878,0.0006009358,0.0056601283,0.00048695187,0.0014438838,0.0007950482,0.00060188957,0.002091802],"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":[0.0000482006,0.000020552667,0.008174578,0.00022417594,0.00017746873,0.000079073296,0.00023245567,0.040195893,0.0060844226,0.017142426,0.014906753,0.91271406],"study_design_scores_gemma":[0.000029452434,0.00015934868,0.08420748,0.000342867,0.00025367053,0.0017979463,0.0009153445,0.5827464,0.01765993,0.13985638,0.17181426,0.00021688531],"about_ca_topic_score_codex":0.0016145018,"about_ca_topic_score_gemma":0.0019454446,"teacher_disagreement_score":0.0050284923,"about_ca_system_score_codex":0.00030830572,"about_ca_system_score_gemma":0.0002881102,"threshold_uncertainty_score":0.014163792},"labels":[],"label_agreement":null},{"id":"W2786815839","doi":"","title":"A Climatology of Urban Surface Heat Islands Derived from Hemispherical Radiometric Surface Temperatures","year":2017,"lang":"en","type":"article","venue":"97th American Meteorological Society Annual Meeting","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Climatology; Radiometric dating; Environmental science; Urban heat island; Surface (topology); Meteorology; Atmospheric sciences; Geology; Remote sensing; Geography; Mathematics; Geometry","score_opus":0.01351743563067149,"score_gpt":0.24008049791636377,"score_spread":0.22656306228569228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786815839","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":[0.9696303,0.00008874216,0.0017269023,0.00007893358,0.000024756817,0.000043051292,0.023281612,0.0003994628,0.0047263075],"genre_scores_gemma":[0.98436654,0.00006186069,0.003368408,0.00001213726,0.000010307706,0.000020272868,0.011217004,0.00002533879,0.00091819384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999651,0.000004835198,0.0000030353997,0.000011034637,0.000008724264,0.0000073391934],"domain_scores_gemma":[0.9998503,0.000010386603,0.000021918844,0.000018257728,0.00006728801,0.000031799766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010580846,0.00014488048,0.0001310138,0.0006532519,0.0001779208,0.00027431495,0.00013996162,0.00013664672,0.0019624617],"category_scores_gemma":[0.00019520061,0.000094855175,0.00015863667,0.0010588317,0.00007651843,0.0001798861,0.00014166441,0.00015475614,0.0004288275],"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":[0.00069373916,0.0002517272,0.8569507,0.0002212537,0.00029713643,0.00039036563,0.00053162506,0.025983788,0.029312806,0.0009354228,0.021835802,0.06259558],"study_design_scores_gemma":[0.000017125007,0.000025393763,0.9908432,0.000005855294,0.000019103214,0.000033477438,0.000060480357,0.005860641,0.00061635155,0.000041248582,0.0024701343,0.000007077289],"about_ca_topic_score_codex":0.0579656,"about_ca_topic_score_gemma":0.13266663,"teacher_disagreement_score":0.0579656,"about_ca_system_score_codex":0.00033084024,"about_ca_system_score_gemma":0.00044754657,"threshold_uncertainty_score":0.11525643},"labels":[],"label_agreement":null},{"id":"W2790331128","doi":"10.1117/1.jrs.12.012001","title":"Special Section Guest Editorial: Improved Intercalibration of Earth Observation Data","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Special section; Remote sensing; Natural disaster; Earth observation; Computer science; Section (typography); Environmental monitoring; Environmental science; Environmental resource management; Environmental planning; Meteorology; Geography; Engineering; Satellite; Environmental engineering","score_opus":0.029849727160914313,"score_gpt":0.2380019047857963,"score_spread":0.208152177624882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790331128","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013802909,0.0010825626,0.00031661958,0.0130555285,0.98432964,0.000016810365,0.000080499995,0.00008431123,0.00089595414],"genre_scores_gemma":[0.0015580794,0.0011233571,0.00024875108,0.00928536,0.9834204,0.000016159636,0.000063375446,0.000077404184,0.0042072176],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99697316,0.00045015177,0.0004677656,0.00066931394,0.001159176,0.00028042728],"domain_scores_gemma":[0.98111135,0.0050994023,0.0012165094,0.0007220252,0.009941683,0.0019090908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050029107,0.002596223,0.002638371,0.0021755365,0.0017247037,0.004337855,0.0025535892,0.0085730385,0.013742101],"category_scores_gemma":[0.017845772,0.0011425469,0.0020289933,0.000947221,0.0016121714,0.0021084233,0.00087164383,0.010930186,0.008792792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013435738,0.0000416692,0.00017073749,0.00026407975,0.000039240535,0.0004091257,0.000014877829,0.00008401233,0.0003120053,0.000321429,0.9904145,0.0077939457],"study_design_scores_gemma":[0.00012735187,0.00015277402,0.0021138268,0.00029060896,0.00011987403,0.0017090146,0.00006533843,0.0010104523,0.0011745857,0.0013447717,0.99183464,0.00005673037],"about_ca_topic_score_codex":0.0008497256,"about_ca_topic_score_gemma":0.0018364857,"teacher_disagreement_score":0.013742101,"about_ca_system_score_codex":0.0013796352,"about_ca_system_score_gemma":0.0015023543,"threshold_uncertainty_score":0.04597187},"labels":[],"label_agreement":null},{"id":"W2790592992","doi":"10.5539/mas.v12n3p141","title":"Urban form Analysis Based on Smart Growth Characteristics at Neighborhoods of 9th District in Mashhad Municipality","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transect; Zoning; Geography; Urban planning; Urban sprawl; Unit (ring theory); Land use; Ecology; Civil engineering; Mathematics","score_opus":0.01350077559626573,"score_gpt":0.2190253666458649,"score_spread":0.20552459104959916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790592992","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":[0.99861574,0.00004528877,0.00015094428,0.00002313221,0.0000019554536,0.000013636945,0.00024188828,0.0000052360892,0.000902257],"genre_scores_gemma":[0.9985868,0.00004522099,0.00035273941,0.0000041046937,0.0000023720104,0.000016239472,0.0003626984,0.0000025809709,0.0006272861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997354,0.000064987726,0.00001658628,0.000046797388,0.00007328379,0.00006287237],"domain_scores_gemma":[0.999741,0.00003065832,0.00006399537,0.000021054464,0.000101553866,0.000041763244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001814169,0.0001632141,0.00020637938,0.0017537745,0.00064511935,0.00080744544,0.00021920909,0.00012571107,0.0019785254],"category_scores_gemma":[0.0005215431,0.00010961745,0.00024406983,0.0018282771,0.00028257183,0.00026839122,0.00070438476,0.0001307051,0.0002039389],"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":[0.000102052414,0.000059926162,0.9783318,0.000044831966,0.000030882547,0.00047665028,0.0031120551,0.0010814634,0.0007372587,0.0006069495,0.0009830102,0.014433098],"study_design_scores_gemma":[0.0000022743561,0.000060263577,0.9846786,0.000011962194,0.00001432952,0.00013584869,0.011740015,0.0016735055,0.00024281802,0.00011760773,0.0013151998,0.0000075384487],"about_ca_topic_score_codex":0.047328178,"about_ca_topic_score_gemma":0.11094154,"teacher_disagreement_score":0.047328178,"about_ca_system_score_codex":0.0008379427,"about_ca_system_score_gemma":0.00053760136,"threshold_uncertainty_score":0.09410536},"labels":[],"label_agreement":null},{"id":"W2794229040","doi":"10.2316/journal.206.2018.1.206-5433","title":"OPTIMAL EVALUATION INDEX SYSTEM AND BENEFIT EVALUATION MODEL FOR AGRICULTURAL INFORMATIZATION IN BEIJING","year":2018,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Beijing Municipal Science and Technology Commission; Beijing Academy of Agricultural and Forestry Sciences","keywords":"Beijing; Informatization; Index (typography); Agriculture; Computer science; Business; China; Geography; Telecommunications; World Wide Web","score_opus":0.02177148361867459,"score_gpt":0.26752059617329194,"score_spread":0.24574911255461734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794229040","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":[0.7714392,0.00045858938,0.19676125,0.0013615683,0.000041179683,0.0004023303,0.00051790755,0.00021798328,0.028799994],"genre_scores_gemma":[0.9868329,0.00012440576,0.009872234,0.00001874231,0.000005985463,0.00014333842,0.00014649374,0.000011396215,0.0028443763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980111,0.0008894326,0.00010890029,0.00031106436,0.0003426946,0.00033684185],"domain_scores_gemma":[0.99751747,0.001287205,0.00028869678,0.00011813139,0.00060939335,0.00017901129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034167287,0.0007388766,0.0007913754,0.0024032143,0.00084801327,0.002726297,0.000995439,0.0010200032,0.0040072566],"category_scores_gemma":[0.0066412385,0.00030297428,0.00077463506,0.0016086324,0.0011599831,0.0025002859,0.0016580115,0.000705578,0.00026736758],"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":[0.00044920653,0.00034532833,0.045911007,0.00022883175,0.00014383666,0.0005663981,0.0012341058,0.7630102,0.0020576187,0.118820325,0.0025362351,0.064696945],"study_design_scores_gemma":[0.00003755367,0.00007980489,0.0099594295,0.000018962159,0.000045470897,0.000046232,0.00043337292,0.96731055,0.00030280833,0.020681845,0.0010522589,0.00003169159],"about_ca_topic_score_codex":0.027060948,"about_ca_topic_score_gemma":0.015070737,"teacher_disagreement_score":0.027060948,"about_ca_system_score_codex":0.007477841,"about_ca_system_score_gemma":0.003061406,"threshold_uncertainty_score":0.054255724},"labels":[],"label_agreement":null},{"id":"W2797741687","doi":"","title":"The revised Davenport roughness classification for cities and sheltered country","year":2000,"lang":"en","type":"article","venue":"Davis Meeting","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Geography","score_opus":0.020133262277212485,"score_gpt":0.2291236476592225,"score_spread":0.20899038538201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797741687","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40566105,0.003700196,0.18150204,0.0025044372,0.0023675517,0.0024293892,0.2745756,0.007282168,0.11997766],"genre_scores_gemma":[0.5519785,0.0015064096,0.22116758,0.00042301702,0.00019034948,0.0015210265,0.1886756,0.0010222656,0.033515334],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870145,0.00014409937,0.00018989721,0.00017638611,0.00053162465,0.00025659695],"domain_scores_gemma":[0.9973629,0.00011306495,0.00023047217,0.00033824466,0.0018234457,0.00013185893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010571989,0.0011521439,0.00078603136,0.005125523,0.0011844002,0.0023875933,0.0013498258,0.00063442107,0.00504658],"category_scores_gemma":[0.0033846484,0.0004504897,0.0012564133,0.0033987274,0.0003813146,0.0011935391,0.0015778835,0.0010612812,0.0037735077],"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":[0.0003817466,0.00015708222,0.26545227,0.00044783286,0.00033798316,0.0003237714,0.00046188955,0.012706017,0.008799691,0.007900444,0.28281173,0.42021957],"study_design_scores_gemma":[0.00011755497,0.00015017884,0.6700976,0.00041376034,0.00030544115,0.00061540795,0.0019453359,0.034762774,0.0055295406,0.0037446676,0.28210473,0.000213039],"about_ca_topic_score_codex":0.15090963,"about_ca_topic_score_gemma":0.1994971,"teacher_disagreement_score":0.15090963,"about_ca_system_score_codex":0.0014115343,"about_ca_system_score_gemma":0.0029165444,"threshold_uncertainty_score":0.30006248},"labels":[],"label_agreement":null},{"id":"W2800212302","doi":"10.1117/12.2302606","title":"A change detection method for remote sensing image based on LBP and SURF feature","year":2018,"lang":"en","type":"article","venue":"Ninth International Conference on Graphic and Image Processing (ICGIP 2017)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"University of New Brunswick","funders":"","keywords":"Local binary patterns; Artificial intelligence; Computer vision; Change detection; Computer science; Remote sensing; Image texture; Block (permutation group theory); Feature (linguistics); Feature detection (computer vision); Image (mathematics); Pattern recognition (psychology); Image resolution; Feature extraction; Similarity (geometry); Histogram; Image processing; Geology; Mathematics","score_opus":0.051604946536721125,"score_gpt":0.3068537018168699,"score_spread":0.2552487552801488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800212302","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025788708,0.00068441115,0.96753705,0.00018758605,0.0003139421,0.00017826521,0.00022200725,0.0026357265,0.0024522599],"genre_scores_gemma":[0.33401707,0.0010615282,0.6546448,0.00029213945,0.00033699218,0.00032703186,0.0010088825,0.0002669477,0.008044603],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992036,0.000057474062,0.000045407007,0.00018538175,0.00044485318,0.00006329024],"domain_scores_gemma":[0.9995915,0.00004255363,0.000046276757,0.00004763899,0.00024444735,0.00002765629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046794518,0.0006694213,0.0009448666,0.0022967204,0.00046543084,0.0005164598,0.0007331022,0.0006661167,0.002538078],"category_scores_gemma":[0.00089676754,0.00035950076,0.00082939357,0.0016517878,0.00038617698,0.0012337891,0.0005750643,0.00070468494,0.0011728276],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002667635,0.00012521748,0.0019282755,0.00031514544,0.00008527908,0.00020894685,0.000112772555,0.0035540394,0.20716497,0.0024256802,0.007238612,0.7765743],"study_design_scores_gemma":[0.0002487008,0.0011680586,0.032384414,0.000110389155,0.00038649485,0.0049634986,0.0003432801,0.60044634,0.30820477,0.00527245,0.04610961,0.00036196524],"about_ca_topic_score_codex":0.0021515542,"about_ca_topic_score_gemma":0.0015294242,"teacher_disagreement_score":0.002538078,"about_ca_system_score_codex":0.00030424556,"about_ca_system_score_gemma":0.0005054667,"threshold_uncertainty_score":0.008490741},"labels":[],"label_agreement":null},{"id":"W2803647953","doi":"10.3130/jaabe.17.175","title":"A Study of the Forms and Technology of Traditional Granary Buildings in the Middle and Lower Reaches of the Fu River","year":2018,"lang":"en","type":"article","venue":"Journal of Asian Architecture and Building Engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":9,"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":"","keywords":"Granary; Architectural engineering; Vernacular; Civil engineering; Architecture; Flexibility (engineering); Vernacular architecture; Engineering; Geography; Archaeology; Mathematics","score_opus":0.01259229848526835,"score_gpt":0.18075938421169616,"score_spread":0.1681670857264278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803647953","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":[0.99601525,0.00010968282,0.00035431888,0.000011670003,9.655383e-7,0.000004424313,0.00004323491,0.0000054540255,0.0034550992],"genre_scores_gemma":[0.9988036,0.000048675745,0.000428453,0.0000027118022,5.9386264e-7,0.0000033867639,0.000044347216,0.000001940338,0.00066631264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998192,0.000046077257,0.000007217924,0.00004725622,0.000031541513,0.000048588445],"domain_scores_gemma":[0.9998338,0.000047959275,0.0000399685,0.000021537839,0.00003277423,0.000023993694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018225762,0.00017358238,0.00017404425,0.0015632154,0.00088633003,0.0010417303,0.0002546767,0.00023107819,0.001323693],"category_scores_gemma":[0.00046714273,0.00014539516,0.00020891277,0.0022331795,0.0007464137,0.00065941253,0.00057300704,0.00019384942,0.00013356742],"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":[0.00025286654,0.0000668364,0.83328843,0.00018920595,0.000051228773,0.0015085916,0.057227414,0.0011596407,0.011103859,0.005770808,0.00034443615,0.089036755],"study_design_scores_gemma":[0.0000023729735,0.00006745608,0.9679952,0.00003008723,0.000014756663,0.00041305588,0.022844074,0.0004035789,0.0005087678,0.0002956852,0.007409252,0.000015714919],"about_ca_topic_score_codex":0.017337035,"about_ca_topic_score_gemma":0.069900766,"teacher_disagreement_score":0.017337035,"about_ca_system_score_codex":0.0007066369,"about_ca_system_score_gemma":0.0004209037,"threshold_uncertainty_score":0.034472227},"labels":[],"label_agreement":null},{"id":"W2804551050","doi":"","title":"A structural approach to improved colour filter array demosaicking for the Bayer pattern","year":2006,"lang":"en","type":"article","venue":"Flinders Academic Commons (Flinders University)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"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":"Demosaicing; Bayer filter; Artificial intelligence; Computer science; Computer vision; Filter (signal processing); Image processing; Image (mathematics); Color image","score_opus":0.025769776926833535,"score_gpt":0.20421495927318156,"score_spread":0.17844518234634804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804551050","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036734603,0.000045509434,0.99495465,0.00007887644,0.00003023062,0.00001645764,0.00005153104,0.0002517985,0.00089759054],"genre_scores_gemma":[0.030588515,0.00011555313,0.9666408,0.000057557376,0.000037793085,0.000034546367,0.00019118485,0.000094109375,0.002239952],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953425,0.00009346432,0.000020750613,0.00007875763,0.00021771307,0.000055107783],"domain_scores_gemma":[0.999373,0.00015427245,0.000034210243,0.00013836453,0.00027170224,0.000028463875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005386172,0.00064334617,0.00060664787,0.0009795649,0.00044780414,0.0008569256,0.0012158649,0.0007991571,0.003941672],"category_scores_gemma":[0.0021550602,0.0006249106,0.00091580086,0.00088908954,0.0005424938,0.0008998531,0.0012475122,0.0012274226,0.0017095505],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019687458,0.00012464014,0.0011283362,0.0001274073,0.00008860513,0.00009132766,0.00019575648,0.15427978,0.12595165,0.0308382,0.00567049,0.681307],"study_design_scores_gemma":[0.000018981189,0.000046427056,0.0010684131,0.000009498549,0.000023176732,0.000092562834,0.00002946075,0.96665376,0.016524827,0.010501991,0.005007239,0.00002369101],"about_ca_topic_score_codex":0.007671361,"about_ca_topic_score_gemma":0.018909156,"teacher_disagreement_score":0.007671361,"about_ca_system_score_codex":0.00052047684,"about_ca_system_score_gemma":0.0013341245,"threshold_uncertainty_score":0.015253425},"labels":[],"label_agreement":null},{"id":"W2884482476","doi":"","title":"High Resolution Satellite Data for MappingLanduse/Land-cover in the Rural-Urban Fringeof the Greater Toronto Area","year":2006,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Remote sensing; Land cover; Pixel; Geography; Satellite imagery; Satellite; Land use; Cover (algebra); Cartography; Environmental science; Computer science; Artificial intelligence; Engineering","score_opus":0.030151054265591035,"score_gpt":0.23255537744216576,"score_spread":0.20240432317657472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884482476","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":[0.9712894,0.0005457698,0.0014187534,0.00013522348,0.000015939488,0.00015966319,0.017657176,0.000163488,0.008614507],"genre_scores_gemma":[0.9728124,0.00045910367,0.005876538,0.00002680249,0.000011226815,0.000061043305,0.013223983,0.00002677924,0.0075021526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997631,0.000016131831,0.000010004948,0.000029703819,0.00013989385,0.000041219457],"domain_scores_gemma":[0.99963295,0.000028453906,0.000041319687,0.000031440628,0.00021080485,0.00005498764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018975775,0.0003286914,0.00013449938,0.0016038371,0.00078523066,0.00055082154,0.00028565736,0.00019493335,0.003320196],"category_scores_gemma":[0.00059878407,0.00016395251,0.00017008538,0.0027373717,0.0002218464,0.00022514547,0.000272076,0.00017976985,0.00046741782],"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":[0.0005774923,0.00026074215,0.6346328,0.0010646434,0.00025828654,0.002186795,0.0057560555,0.02030497,0.07514762,0.001626552,0.036638852,0.22154517],"study_design_scores_gemma":[0.00001589097,0.000028631637,0.9775343,0.000028770572,0.000038481518,0.00010667303,0.0010546083,0.008503768,0.002841587,0.000043731205,0.009785219,0.000018337112],"about_ca_topic_score_codex":0.9065101,"about_ca_topic_score_gemma":0.9767909,"teacher_disagreement_score":0.093489885,"about_ca_system_score_codex":0.005379853,"about_ca_system_score_gemma":0.003380747,"threshold_uncertainty_score":0.1880809},"labels":[],"label_agreement":null},{"id":"W2890072312","doi":"10.3390/rs10091496","title":"Detecting Building Edges from High Spatial Resolution Remote Sensing Imagery Using Richer Convolution Features Network","year":2018,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":69,"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":"University of Toronto; National Natural Science Foundation of China","keywords":"Computer science; Constraint (computer-aided design); Enhanced Data Rates for GSM Evolution; Measure (data warehouse); Convolution (computer science); Edge detection; Artificial intelligence; Feature (linguistics); Building model; Aerial image; Remote sensing; Pattern recognition (psychology); Image (mathematics); Computer vision; Data mining; Image processing; Mathematics; Geology; Geometry; Simulation; Artificial neural network","score_opus":0.020578389365525265,"score_gpt":0.2341030529680952,"score_spread":0.21352466360256994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890072312","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":[0.49688923,0.0002149185,0.49748123,0.00014717615,0.000036418023,0.00006340359,0.0008982493,0.002008618,0.00226091],"genre_scores_gemma":[0.87163407,0.00012833014,0.12362824,0.00007381731,0.000024166988,0.000042300308,0.002838786,0.000074369884,0.0015559307],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976295,0.000023761851,0.000010454641,0.00008817904,0.00006916125,0.000045481545],"domain_scores_gemma":[0.99971765,0.00007566347,0.000049440307,0.0000655032,0.00007107491,0.00002073001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000328243,0.00060660567,0.00038667888,0.0011225032,0.00020866493,0.00041354191,0.00060840405,0.00044731906,0.00074743375],"category_scores_gemma":[0.00090714416,0.00023582106,0.0006441173,0.00069069286,0.00023858288,0.0009147967,0.0005124557,0.000493001,0.00023835868],"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":[0.0005808396,0.00036832664,0.017775657,0.00015924766,0.00019647946,0.00045323969,0.00016218827,0.33227375,0.10988484,0.003002835,0.0034862892,0.53165627],"study_design_scores_gemma":[0.0000073771917,0.00003998659,0.00963512,0.0000061329083,0.00002979306,0.00009571304,0.000024017012,0.9709792,0.017447729,0.00095673255,0.00076676934,0.000011297801],"about_ca_topic_score_codex":0.0062818388,"about_ca_topic_score_gemma":0.011911278,"teacher_disagreement_score":0.0062818388,"about_ca_system_score_codex":0.00031719383,"about_ca_system_score_gemma":0.00030143026,"threshold_uncertainty_score":0.012490571},"labels":[],"label_agreement":null},{"id":"W2890564015","doi":"","title":"Acceleration Field of Ground Vibrations and Anisotropy of Wave Propagation","year":2015,"lang":"en","type":"article","venue":"International Journal of Mining Materials and Metallurgical Engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Acceleration; Ground vibrations; Vibration; Field (mathematics); Physics; Anisotropy; Acoustics; Classical mechanics; Optics; Mathematics","score_opus":0.02628133445608746,"score_gpt":0.23420939291068246,"score_spread":0.207928058454595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890564015","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":[0.9796698,0.0002848896,0.013154225,0.00014273153,0.000020553876,0.000009881082,0.00012251698,0.00007045765,0.006524862],"genre_scores_gemma":[0.99878067,0.00006531618,0.00035168877,0.0000041462145,0.000011436542,0.0000017436623,0.000036202004,0.000007645922,0.0007411558],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999325,0.000012837126,0.0000019666552,0.000016069118,0.000015658989,0.000021055524],"domain_scores_gemma":[0.9994906,0.0002728571,0.000072560346,0.000025025343,0.00008273243,0.00005625786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012020787,0.00025546295,0.00016427315,0.0006536461,0.00020910108,0.00034157385,0.0001676286,0.00028406476,0.002893989],"category_scores_gemma":[0.0008075282,0.00022926876,0.00013705596,0.00047471919,0.00040865564,0.00045850122,0.00019507356,0.00044796424,0.00031097792],"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":[0.0034960348,0.00068159,0.15322924,0.00033171414,0.00009901639,0.0022227142,0.0010978171,0.12774535,0.5428705,0.055219878,0.0027229262,0.110283166],"study_design_scores_gemma":[0.00014452971,0.00033725196,0.598053,0.000032413678,0.00006594499,0.0013168135,0.00057610223,0.36329958,0.019797685,0.014807454,0.0014518652,0.00011737111],"about_ca_topic_score_codex":0.0017357325,"about_ca_topic_score_gemma":0.0013358009,"teacher_disagreement_score":0.002893989,"about_ca_system_score_codex":0.0001469718,"about_ca_system_score_gemma":0.00021592861,"threshold_uncertainty_score":0.009681344},"labels":[],"label_agreement":null},{"id":"W2901370348","doi":"10.1201/9781003541172-10","title":"Ecological Characterization of Vegetation Using Multi-Sensor Remote Sensing in the Solar Reflective Spectrum","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":14,"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 Toronto","funders":"","keywords":"Remote sensing; Characterization (materials science); Vegetation (pathology); Spectrum (functional analysis); Environmental science; Geography; Ecology; Materials science; Nanotechnology; Biology; Physics; Medicine","score_opus":0.04397722427737351,"score_gpt":0.25555182376938884,"score_spread":0.21157459949201535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901370348","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":[0.063466735,0.15695623,0.62705064,0.0010295379,0.00095823564,0.00013438286,0.002572841,0.0013532136,0.1464783],"genre_scores_gemma":[0.2886449,0.09319224,0.53336847,0.0008767661,0.000801235,0.0001588314,0.0027042842,0.00037487643,0.0798784],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99987423,0.000015090975,0.0000041289413,0.000042923737,0.000057031226,0.00000655198],"domain_scores_gemma":[0.9999175,0.000038878323,0.000008855613,0.0000077562145,0.000023887887,0.0000032147561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024594754,0.00046841515,0.0003120456,0.0011561255,0.0001269395,0.00092337985,0.00039060964,0.0005386257,0.0018333461],"category_scores_gemma":[0.00020339944,0.00019371825,0.0003833126,0.0014640103,0.0002582444,0.0010271467,0.00029604937,0.00037307577,0.0011317099],"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":[0.00006066003,0.000051411535,0.0051137214,0.0014219575,0.000071370494,0.00022334902,0.00039504358,0.014986894,0.097399406,0.024505528,0.011876838,0.84389377],"study_design_scores_gemma":[0.000017718003,0.0002622996,0.0840075,0.0014756345,0.0002149657,0.0039179726,0.0009223302,0.18720217,0.09531499,0.06195562,0.56439155,0.00031718405],"about_ca_topic_score_codex":0.0009343624,"about_ca_topic_score_gemma":0.0020539558,"teacher_disagreement_score":0.0018333461,"about_ca_system_score_codex":0.00027445494,"about_ca_system_score_gemma":0.00013002563,"threshold_uncertainty_score":0.006133139},"labels":[],"label_agreement":null},{"id":"W2903132748","doi":"10.1130/abs/2018am-322235","title":"UTILIZING PHOTOGRAMMETRY TO ANALYZE VARIATION IN THE LITHOLOGY AND STRUCTURE OF THE NIAGARA ESCARPMENT IN HAMILTON, ONTARIO, CANADA","year":2018,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Escarpment; Photogrammetry; Geology; Variation (astronomy); Lithology; Geomorphology; Remote sensing; Paleontology","score_opus":0.01151494429994945,"score_gpt":0.21141334096123443,"score_spread":0.19989839666128498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903132748","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":[0.98755115,0.0003237428,0.0005354614,0.00020167221,0.000011092025,0.00014255848,0.0028931194,0.000030374284,0.008310871],"genre_scores_gemma":[0.99033934,0.00031142606,0.0019823185,0.00005763132,0.0000039697975,0.00006291702,0.0012743254,0.000015006769,0.0059531154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995739,0.00003223303,0.000020798869,0.00006981684,0.00018956496,0.00011362464],"domain_scores_gemma":[0.9991743,0.00005693877,0.00009562086,0.000027884133,0.00054215646,0.00010303075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024972274,0.00026596338,0.00025238565,0.0016333176,0.0025392047,0.0010774892,0.00088227127,0.00023881388,0.0017081186],"category_scores_gemma":[0.0010079603,0.00032966773,0.00023184683,0.004216531,0.0008199872,0.0002532684,0.00059251144,0.0003082246,0.00035599442],"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":[0.00012680492,0.000059135844,0.9369898,0.00015417027,0.000110634544,0.00052468025,0.006790279,0.0012047258,0.004526434,0.00037730875,0.0044053174,0.04473072],"study_design_scores_gemma":[0.000004887551,0.000007959758,0.99472094,0.00001640448,0.000009759086,0.000030509085,0.0027284943,0.00036907886,0.0001580497,0.000013761021,0.0019342684,0.0000059359177],"about_ca_topic_score_codex":0.9963575,"about_ca_topic_score_gemma":0.9993767,"teacher_disagreement_score":0.01610042,"about_ca_system_score_codex":0.01610042,"about_ca_system_score_gemma":0.023581237,"threshold_uncertainty_score":0.116817296},"labels":[],"label_agreement":null},{"id":"W2907471899","doi":"10.2495/dne-v13-n4-384-394","title":"Effects of vertical green technology on building surface temperature","year":2018,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministero dello Sviluppo Economico","keywords":"Architectural engineering; Engineering; Environmental science; Engineering physics","score_opus":0.005478455810055019,"score_gpt":0.2282371526092566,"score_spread":0.22275869679920157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907471899","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":[0.9980768,0.00025859612,0.0006714478,0.000014779981,0.000017032076,0.0000058754385,0.000041716914,0.000017951104,0.0008957616],"genre_scores_gemma":[0.9989843,0.000111838766,0.00028116905,0.0000104818555,0.0000028355596,0.000004986529,0.000052201816,0.0000066796915,0.0005455093],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99986315,0.000019001796,0.000006250073,0.00002300505,0.00004425455,0.000044448865],"domain_scores_gemma":[0.9997423,0.00008989492,0.000047952875,0.000023284982,0.000054767137,0.000041748168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011582641,0.00034360302,0.00019104381,0.00014557259,0.0001584329,0.00038979034,0.00013601416,0.00024462573,0.0017516011],"category_scores_gemma":[0.00029011606,0.00013174303,0.00033273714,0.00018120528,0.00022433871,0.00024148292,0.00035217495,0.00029228485,0.00028696458],"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":[0.0017317428,0.0003780009,0.008093006,0.00013491097,0.00003059061,0.00011401094,0.00018147158,0.0038698674,0.9697417,0.00019114082,0.0000850305,0.015448427],"study_design_scores_gemma":[0.000060034858,0.005939383,0.09057119,0.000036161877,0.00011190122,0.00014351761,0.0003942311,0.008410383,0.89171386,0.00027103387,0.0023159112,0.000032396787],"about_ca_topic_score_codex":0.0013365955,"about_ca_topic_score_gemma":0.00097428466,"teacher_disagreement_score":0.0017516011,"about_ca_system_score_codex":0.0002146549,"about_ca_system_score_gemma":0.00012224195,"threshold_uncertainty_score":0.005859673},"labels":[],"label_agreement":null},{"id":"W2909975438","doi":"10.11873/j.issn.1004-0323.2008.6.686","title":"The New Trends of Development Strategy on the International Space and Earth Observation Technology","year":2011,"lang":"en","type":"article","venue":"Yaogan jishu yu yingyong","topic":"Remote Sensing and Land Use","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":"Earth observation; Earth observation satellite; Plan (archaeology); Earth (classical element); Geography; Satellite; Work (physics); Planet; Political science; Space (punctuation); Engineering; Computer science; Aerospace engineering; Physics","score_opus":0.04668871286145165,"score_gpt":0.2072007413722211,"score_spread":0.16051202851076946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909975438","genre_codex":"other","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":[0.015815,0.07880221,0.04425499,0.1496546,0.02105907,0.000593628,0.0029340414,0.0009429837,0.6859435],"genre_scores_gemma":[0.19678642,0.17602265,0.12176364,0.05042868,0.00514936,0.0014904679,0.007925152,0.0007218424,0.4397118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974197,0.00048766614,0.00021290359,0.00028592482,0.0012564745,0.00033726086],"domain_scores_gemma":[0.9969489,0.0002850212,0.0002434714,0.00023635781,0.0018505314,0.0004356549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047935722,0.00087155536,0.0003212604,0.002297995,0.0013506962,0.005778345,0.0009780881,0.0015824378,0.0068779974],"category_scores_gemma":[0.0031764763,0.0002458458,0.0004912091,0.0031333743,0.0017794744,0.005153684,0.0023506784,0.003191967,0.0032359357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006304469,0.00008808374,0.0027524473,0.00037765247,0.000020069188,0.00014744175,0.0007523815,0.00042876235,0.0022617923,0.5592156,0.20495571,0.22893694],"study_design_scores_gemma":[0.000005967544,0.0000358637,0.002239692,0.0001393526,0.000006424528,0.00011152589,0.00046281642,0.00025192645,0.000470861,0.011556253,0.9847056,0.000013565686],"about_ca_topic_score_codex":0.011985185,"about_ca_topic_score_gemma":0.008711759,"teacher_disagreement_score":0.011985185,"about_ca_system_score_codex":0.0040810346,"about_ca_system_score_gemma":0.01752235,"threshold_uncertainty_score":0.029610157},"labels":[],"label_agreement":null},{"id":"W2914963455","doi":"","title":"Détection de regards de visite sur des images à haute résolution spatiale par une méthode d'apprentissage","year":2018,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Berger (Canada)","funders":"","keywords":"Humanities; Physics; Art","score_opus":0.02193408825077632,"score_gpt":0.22282185344066086,"score_spread":0.20088776518988455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914963455","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":[0.53874576,0.00083419046,0.45468932,0.00020881639,0.00011542636,0.00008375181,0.001031578,0.001570742,0.0027203097],"genre_scores_gemma":[0.84848946,0.00047438394,0.14309086,0.000058362217,0.0001283552,0.00009589946,0.0015737248,0.00021350577,0.005875521],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992131,0.00011146314,0.000028225893,0.000252515,0.00025153795,0.00014313159],"domain_scores_gemma":[0.99861026,0.00066847476,0.000112033085,0.00013645516,0.0003262251,0.00014657395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069540506,0.0009638852,0.0007666174,0.0025211843,0.00043034763,0.0014420829,0.000531835,0.0012360282,0.0016372451],"category_scores_gemma":[0.0025313424,0.00039902097,0.0008915901,0.0011535359,0.0004679987,0.0008254514,0.0008602664,0.00089432247,0.0010054805],"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":[0.0030743775,0.00026799642,0.079006225,0.00033561428,0.00047234513,0.0009503591,0.0012090777,0.04026878,0.4175376,0.0037535776,0.0040312046,0.44909284],"study_design_scores_gemma":[0.000114651666,0.0005210709,0.28834158,0.00007886081,0.0002104576,0.001684974,0.00078274694,0.5885632,0.105760545,0.0015932989,0.012223285,0.00012541626],"about_ca_topic_score_codex":0.016705941,"about_ca_topic_score_gemma":0.018368253,"teacher_disagreement_score":0.016705941,"about_ca_system_score_codex":0.00046637192,"about_ca_system_score_gemma":0.000537921,"threshold_uncertainty_score":0.03321737},"labels":[],"label_agreement":null},{"id":"W2916269999","doi":"10.5539/ach.v11n1p52","title":"The Vernacular Landscape, Developing and Promoting Tourism in ChiangKhong District, Chiang Rai Province","year":2019,"lang":"en","type":"article","venue":"Asian Culture and History","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chiang Rai Rajabhat University","keywords":"Vernacular; Tourism; Cultural landscape; Geography; Promotion (chess); Sociology; Social science; Political science; Archaeology; Art; Politics; Literature; Law","score_opus":0.004724665924191098,"score_gpt":0.1641488362812701,"score_spread":0.159424170357079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916269999","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":[0.9962496,0.00017130192,0.0000366275,0.000089891604,0.0000039335787,0.000010981566,0.00003046426,0.0000017253566,0.0034055584],"genre_scores_gemma":[0.999097,0.00012300133,0.00009960486,0.00001535681,9.852755e-7,0.000005481429,0.000030561703,0.0000010190985,0.0006270615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986315,0.0000314505,0.000005307809,0.000020803696,0.0000181323,0.000061102335],"domain_scores_gemma":[0.99984837,0.000026151441,0.000026611593,0.000008009651,0.000022544553,0.000068336965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015912174,0.00013808491,0.000089659756,0.00049774745,0.001544352,0.0012567795,0.00026609807,0.00015039321,0.0014344265],"category_scores_gemma":[0.00024268526,0.00011345833,0.000104981234,0.0016524233,0.00102247,0.00038981246,0.00066440774,0.00025002437,0.00005270613],"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":[0.00013826725,0.000120156496,0.7615307,0.0005442966,0.000036857393,0.008115447,0.15267688,0.00044627616,0.0096533,0.00484367,0.0018803724,0.060013823],"study_design_scores_gemma":[0.0000055539585,0.00005471976,0.8334432,0.00007639705,0.00001863423,0.0007307566,0.15517208,0.00023740115,0.00023312822,0.0002522422,0.00975769,0.000018146393],"about_ca_topic_score_codex":0.13555802,"about_ca_topic_score_gemma":0.38603804,"teacher_disagreement_score":0.13555802,"about_ca_system_score_codex":0.0017120049,"about_ca_system_score_gemma":0.0022636747,"threshold_uncertainty_score":0.26953793},"labels":[],"label_agreement":null},{"id":"W2922726028","doi":"","title":"Extraction of Buildings in Informal Settlement Areas from High-Resolution Satellite Data","year":2005,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Settlement (finance); Satellite; Remote sensing; Earth observation satellite; Extraction (chemistry); Geography; Environmental science; Computer science; Engineering","score_opus":0.023590350352157174,"score_gpt":0.24125970173163175,"score_spread":0.21766935137947457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922726028","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":[0.8945591,0.0011629784,0.07647387,0.00019753075,0.000067436806,0.00021192279,0.0179261,0.0020909647,0.0073101684],"genre_scores_gemma":[0.9289869,0.00043656444,0.04664608,0.000020965976,0.00005370039,0.00007765277,0.021189079,0.00010779353,0.0024812606],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997789,0.000019881523,0.000019860943,0.000049982715,0.00006491833,0.00006637896],"domain_scores_gemma":[0.9996427,0.00008024881,0.00005436564,0.00006472262,0.00011657217,0.000041405412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021833884,0.0007352207,0.00065112516,0.0042390884,0.00051359605,0.00086397945,0.00052694,0.00060750154,0.0024109718],"category_scores_gemma":[0.000771201,0.00037462972,0.00067156454,0.004404778,0.00027665388,0.0004241131,0.0006633448,0.0003283012,0.002228376],"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":[0.0007178045,0.00031813793,0.2042509,0.00094929145,0.00026403027,0.0017872424,0.0009897826,0.024126953,0.10171945,0.0019117955,0.01177297,0.6511916],"study_design_scores_gemma":[0.00012122116,0.00018364958,0.7892234,0.00016368875,0.000414668,0.0012424806,0.0025589045,0.15032497,0.027201515,0.0025345853,0.025933301,0.00009766568],"about_ca_topic_score_codex":0.013575464,"about_ca_topic_score_gemma":0.02821717,"teacher_disagreement_score":0.013575464,"about_ca_system_score_codex":0.00031213605,"about_ca_system_score_gemma":0.0006268848,"threshold_uncertainty_score":0.026992917},"labels":[],"label_agreement":null},{"id":"W2950982965","doi":"","title":"Estimating the roughness of cities and sheltered country","year":2000,"lang":"en","type":"article","venue":"Asheville Meeting","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":133,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Geography","score_opus":0.00927462727583444,"score_gpt":0.20024066777149122,"score_spread":0.19096604049565677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950982965","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":[0.9951776,0.00006706739,0.0023412213,0.000037193626,0.000007746145,0.000009458914,0.0007969844,0.000105946994,0.0014567296],"genre_scores_gemma":[0.9963134,0.000028408413,0.0022043043,0.0000049824257,0.0000030312015,0.00000493586,0.0011113433,0.000012661953,0.00031687657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998184,0.000025938765,0.000009661516,0.00004803003,0.000039575396,0.00005850544],"domain_scores_gemma":[0.99960715,0.000088254215,0.000040301198,0.00005816804,0.0001520109,0.00005418374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022027828,0.0003264221,0.0004404843,0.0011330876,0.00042189268,0.00094458484,0.00035420785,0.00044471497,0.0009962355],"category_scores_gemma":[0.0010545047,0.0003102305,0.0005328173,0.0010696683,0.0001717339,0.00048809993,0.00039990002,0.00041407192,0.0003917625],"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":[0.00026273294,0.000075107164,0.83290666,0.000034227232,0.00023983279,0.00019623048,0.00017526306,0.10508361,0.00550911,0.0007224333,0.002449181,0.052345563],"study_design_scores_gemma":[0.00002435805,0.000038990518,0.7577608,0.000011064794,0.00006020792,0.00006463496,0.0008013702,0.23847093,0.0010218878,0.00039127952,0.0013228386,0.000031572232],"about_ca_topic_score_codex":0.10489088,"about_ca_topic_score_gemma":0.21081956,"teacher_disagreement_score":0.10489088,"about_ca_system_score_codex":0.00055863353,"about_ca_system_score_gemma":0.0007726483,"threshold_uncertainty_score":0.2085607},"labels":[],"label_agreement":null},{"id":"W2961663658","doi":"10.5194/ica-abs-1-312-2019","title":"Innovative Geospatial and Cartographic Approaches to Identification, Analysis, and Visualisation of Land Degradation","year":2019,"lang":"en","type":"article","venue":"Abstracts of the ICA","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Geospatial analysis; Identification (biology); Visualization; Cartography; Geography; Land degradation; Computer science; Data science; Remote sensing; Data mining; Archaeology","score_opus":0.028402177968051986,"score_gpt":0.2080912655392062,"score_spread":0.1796890875711542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961663658","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027471071,0.00506301,0.9178067,0.0056561655,0.00032896482,0.00033218568,0.011906673,0.009336844,0.022098416],"genre_scores_gemma":[0.21553668,0.004594319,0.76666445,0.0005207677,0.00015355478,0.00042381257,0.008291191,0.0007027491,0.0031124097],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845135,0.0007314323,0.00012879507,0.00015450118,0.00045887334,0.00007509957],"domain_scores_gemma":[0.9974075,0.0008363439,0.0002789596,0.0006520818,0.0006779621,0.00014715779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002402437,0.0007586003,0.00044737343,0.010130435,0.00046644107,0.0058459574,0.0009290201,0.000929613,0.00490663],"category_scores_gemma":[0.0042827306,0.00048304928,0.0012123528,0.009707188,0.0012226845,0.0029044128,0.0032015701,0.0010938029,0.001190483],"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":[0.00022132407,0.00024353775,0.017645156,0.0027462798,0.00086222065,0.0010118121,0.0066210465,0.08868264,0.018533437,0.276586,0.05764316,0.52920336],"study_design_scores_gemma":[0.00006990058,0.000059975086,0.021281611,0.0016244206,0.0002670527,0.0008614387,0.0055189626,0.30966446,0.0105083855,0.20933865,0.44057384,0.00023131949],"about_ca_topic_score_codex":0.008756667,"about_ca_topic_score_gemma":0.011696527,"teacher_disagreement_score":0.010130435,"about_ca_system_score_codex":0.0011671737,"about_ca_system_score_gemma":0.0012067902,"threshold_uncertainty_score":0.01741141},"labels":[],"label_agreement":null},{"id":"W2963488355","doi":"","title":"Approach based on SPEA2-band selection and Random Forest classifier to generate thematic maps from hyperspectral images.","year":2019,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"École de Technologie Supérieure","funders":"","keywords":"Hyperspectral imaging; Thematic map; Random forest; Computer science; Classifier (UML); Artificial intelligence; Selection (genetic algorithm); Pattern recognition (psychology); Remote sensing; Geography; Cartography","score_opus":0.009161521285557351,"score_gpt":0.18452028971001386,"score_spread":0.1753587684244565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963488355","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":[0.045839306,0.00031749735,0.94991314,0.00009833451,0.000055866254,0.0001553942,0.000104070954,0.00083993055,0.0026764413],"genre_scores_gemma":[0.30793822,0.00013669721,0.6869048,0.00013326273,0.000039789356,0.00023118807,0.00043452068,0.00011646971,0.0040650414],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945086,0.00011649546,0.000022997077,0.00011883018,0.00023316997,0.000057646394],"domain_scores_gemma":[0.9995641,0.00016530612,0.000043636905,0.00004038287,0.00016469182,0.00002195893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010386681,0.00076094177,0.0005595893,0.0020684672,0.0004450332,0.0005528166,0.0007797178,0.0008251242,0.0015920125],"category_scores_gemma":[0.0011294428,0.0002444765,0.00093685085,0.000982102,0.00022575683,0.0006003272,0.00046359815,0.0004971341,0.0006507399],"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":[0.00019132732,0.00033617226,0.0045870887,0.00013410418,0.00019349159,0.00016284182,0.00008954605,0.20523901,0.03478476,0.0034606974,0.0030863942,0.7477346],"study_design_scores_gemma":[0.000015227256,0.00009341507,0.0015665131,0.000007992367,0.000027168437,0.00013951112,0.000024548102,0.98700446,0.007945077,0.0015355711,0.0016282247,0.000012190637],"about_ca_topic_score_codex":0.0021508993,"about_ca_topic_score_gemma":0.0032386205,"teacher_disagreement_score":0.0021508993,"about_ca_system_score_codex":0.00036673254,"about_ca_system_score_gemma":0.0006270754,"threshold_uncertainty_score":0.0054931045},"labels":[],"label_agreement":null},{"id":"W2970519304","doi":"10.1016/j.uclim.2019.100527","title":"Corrigendum to ‘Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling’ [Urban Climate 28 (2019) 100459]","year":2019,"lang":"en","type":"erratum","venue":"Urban Climate","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Toronto","funders":"","keywords":"Scale (ratio); Environmental science; Urban climate; Meteorology; Geography; Urban planning; Civil engineering; Cartography; Engineering","score_opus":0.05654049188467948,"score_gpt":0.25063115799891017,"score_spread":0.1940906661142307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970519304","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030343898,0.0013787908,0.004167574,0.07182499,0.87448305,0.00010451966,0.011104208,0.002565151,0.03406833],"genre_scores_gemma":[0.006016734,0.0029123009,0.009575723,0.06413264,0.06107238,0.00025894624,0.017312303,0.0058161393,0.8329028],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766326,0.00027764236,0.00026503383,0.000342249,0.0012853881,0.00016649686],"domain_scores_gemma":[0.98553604,0.0016835979,0.00042968834,0.0006438205,0.011185955,0.00052091136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020064733,0.001586558,0.0013500256,0.0028957727,0.0025595946,0.0038314862,0.0020919652,0.003913833,0.19110355],"category_scores_gemma":[0.027982257,0.00072929513,0.001105456,0.0020975173,0.0012068633,0.0022657283,0.002794536,0.004415596,0.12154793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008654887,0.0000032834962,0.000031823296,0.000025318084,0.0000018456708,0.000031074756,0.0000071751742,0.0000386562,0.000025771096,0.00027936787,0.9962263,0.003320871],"study_design_scores_gemma":[0.000013405821,0.000007752599,0.00047387957,0.00007563084,0.0000069705325,0.00005033575,0.00003994388,0.00026462937,0.00014823298,0.0009635228,0.99793696,0.000018873967],"about_ca_topic_score_codex":0.073890366,"about_ca_topic_score_gemma":0.11619546,"teacher_disagreement_score":0.19110355,"about_ca_system_score_codex":0.0029757142,"about_ca_system_score_gemma":0.0039513647,"threshold_uncertainty_score":0.63930506},"labels":[],"label_agreement":null},{"id":"W2971697045","doi":"10.1130/abs/2019am-338841","title":"URBANIZATION AND THE NIAGARA ESCARPMENT: ANTHROPOGENIC FACTORS INFLUENCING EROSION RATES","year":2019,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Escarpment; Urbanization; Erosion; Geology; Geomorphology; Economics","score_opus":0.01254507001624823,"score_gpt":0.21530859583601883,"score_spread":0.20276352581977058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971697045","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":[0.99628276,0.00012329909,0.00004212636,0.0001025421,0.0000038770168,0.000007434673,0.00042741201,0.0000053337612,0.0030052122],"genre_scores_gemma":[0.9975666,0.0002546027,0.00015540769,0.000012459553,0.000008069279,0.000011955982,0.0003380473,0.000006480485,0.0016464015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981457,0.00005005858,0.000017912627,0.0000418082,0.000031189957,0.00004453203],"domain_scores_gemma":[0.99915695,0.00017176448,0.00032137238,0.00006122395,0.00015179398,0.00013697156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017213293,0.00022294905,0.00016796075,0.0007177308,0.00056016963,0.0009801745,0.0002467868,0.00022577534,0.003217455],"category_scores_gemma":[0.0010833076,0.00014961255,0.0002827195,0.0022506916,0.0004104534,0.00042050207,0.0006165604,0.00031278693,0.00042732724],"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":[0.000030794283,0.000016505737,0.9966528,0.000011036795,0.000026974405,0.00011941539,0.000416008,0.00015458392,0.00016349395,0.00010041553,0.00018327715,0.0021247813],"study_design_scores_gemma":[0.0000013424642,0.000005647691,0.9984059,0.0000063240345,0.000007980198,0.000041281557,0.0008296013,0.00012697426,0.00003222154,0.0000121905,0.0005286129,0.0000020866646],"about_ca_topic_score_codex":0.28610906,"about_ca_topic_score_gemma":0.5658364,"teacher_disagreement_score":0.28610906,"about_ca_system_score_codex":0.0011121194,"about_ca_system_score_gemma":0.0012290494,"threshold_uncertainty_score":0.5688875},"labels":[],"label_agreement":null},{"id":"W2975103748","doi":"10.18280/ria.330208","title":"Apple Binocular Visual Identification and Positioning System","year":2019,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Computer vision; Artificial intelligence; Computer science; Preprocessor; Binocular vision; Binocular disparity; Identification (biology); Stereopsis; Subtraction; Machine vision; Positioning system; Mathematics","score_opus":0.013628720901696489,"score_gpt":0.2250691910193072,"score_spread":0.21144047011761072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975103748","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":[0.057619497,0.0013294525,0.8499605,0.00023636053,0.0005501008,0.000992343,0.0035305906,0.024876826,0.060904324],"genre_scores_gemma":[0.46051744,0.00090795034,0.46028295,0.0005183672,0.00016915203,0.0010825478,0.0065345033,0.0006498511,0.06933715],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886096,0.000084812404,0.000054691936,0.00028398534,0.0006253552,0.00009026735],"domain_scores_gemma":[0.99932814,0.000045571152,0.000045636083,0.00007021354,0.00045582736,0.0000546319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046745792,0.00066840637,0.0007676292,0.001665174,0.0005132386,0.0007171633,0.00074337795,0.00059481687,0.01616592],"category_scores_gemma":[0.00067498477,0.00028935558,0.00030197477,0.000986918,0.00021875204,0.00063343416,0.00096261647,0.0004072993,0.004456701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067724683,0.0001326322,0.006997646,0.0009798659,0.000051892282,0.0004732203,0.00043405697,0.0032164282,0.3847535,0.009329741,0.048493102,0.54446065],"study_design_scores_gemma":[0.00033508765,0.001802626,0.06573962,0.00021932118,0.00033684153,0.0069454988,0.00049902924,0.11884292,0.37388712,0.0041022883,0.42669934,0.00059026264],"about_ca_topic_score_codex":0.003299457,"about_ca_topic_score_gemma":0.0034568056,"teacher_disagreement_score":0.01616592,"about_ca_system_score_codex":0.00055824337,"about_ca_system_score_gemma":0.0010025353,"threshold_uncertainty_score":0.054080367},"labels":[],"label_agreement":null},{"id":"W2981572194","doi":"10.4095/219867","title":"Land Use and Cover with Intensity Assessment for Canada from Satellite and Census Data","year":2003,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":4,"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":"Census; Satellite; Cover (algebra); Geography; Land cover; Intensity (physics); Remote sensing; Environmental science; Meteorology; Cartography; Physical geography; Climatology; Land use; Geology; Engineering; Demography; Civil engineering; Population; Physics","score_opus":0.06854379044254381,"score_gpt":0.2577975838180843,"score_spread":0.1892537933755405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981572194","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34034976,0.0017939718,0.020205496,0.0007342384,0.00006785497,0.0017104457,0.571635,0.0013092785,0.06219398],"genre_scores_gemma":[0.45606887,0.0019864833,0.05445372,0.00016652801,0.000030883093,0.0010011349,0.4555166,0.00020605062,0.030569633],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986638,0.000051419498,0.00005837098,0.00008928652,0.0009715401,0.0001656208],"domain_scores_gemma":[0.9964496,0.00007639445,0.0002781551,0.00014057053,0.0028549654,0.00020019233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082644145,0.0005472523,0.0003092265,0.0047925715,0.0008506329,0.000864446,0.00074621104,0.00012485417,0.0034224356],"category_scores_gemma":[0.0026823618,0.00024336671,0.00050252373,0.009536911,0.00017990342,0.00039243008,0.0007802106,0.00031207266,0.0008830471],"study_design_candidate":"not_applicable","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":[0.00019643863,0.00010288462,0.7544155,0.0003171555,0.00022561938,0.00014881007,0.000520921,0.008095011,0.0021075655,0.0034255246,0.059695996,0.17074864],"study_design_scores_gemma":[0.000029516923,0.00002631734,0.93447,0.00005744728,0.00006336666,0.00006280893,0.00034081895,0.009669743,0.0014563425,0.00032490082,0.053461242,0.000037566995],"about_ca_topic_score_codex":0.9925384,"about_ca_topic_score_gemma":0.99531794,"teacher_disagreement_score":0.015324865,"about_ca_system_score_codex":0.015324865,"about_ca_system_score_gemma":0.030433344,"threshold_uncertainty_score":0.11119014},"labels":[],"label_agreement":null},{"id":"W2981610292","doi":"10.4095/219807","title":"Unsupervised Landscape Unit Mapping Based on Multi-scale Analysis","year":2001,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Natural Resources Canada","funders":"","keywords":"Scale (ratio); Unit (ring theory); Computer science; Scale analysis (mathematics); Cartography; Geography; Mathematics; Meteorology","score_opus":0.06842863179382705,"score_gpt":0.2651560771933277,"score_spread":0.19672744539950063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981610292","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":[0.07457114,0.00009164974,0.9215098,0.000026569942,0.000009059464,0.00007591099,0.0001303423,0.0011718932,0.0024135727],"genre_scores_gemma":[0.41517296,0.00009758879,0.58231276,0.000020330746,0.00001725369,0.000119075,0.00044991993,0.0002066757,0.0016035025],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997008,0.000055547873,0.000010433275,0.000077820456,0.00012207177,0.000033396092],"domain_scores_gemma":[0.9996613,0.000107854365,0.0000412856,0.0000720696,0.000099613804,0.000017850167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002481861,0.0002540612,0.0003390953,0.0012835768,0.00022215523,0.00061048643,0.00038701412,0.0001991311,0.0012825436],"category_scores_gemma":[0.0007943249,0.00018556799,0.0003706319,0.00085686764,0.00030157916,0.00072975503,0.0004462603,0.00021887179,0.00046595],"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":[0.00012493141,0.00010506724,0.010965259,0.00013807326,0.000088665875,0.00014418695,0.00027662792,0.065973915,0.18492585,0.0055274325,0.0020460612,0.7296839],"study_design_scores_gemma":[0.000019185665,0.00009507103,0.03651097,0.000015010751,0.00003975961,0.00028273443,0.000110226916,0.9130991,0.038877383,0.0056153974,0.0052958266,0.00003930667],"about_ca_topic_score_codex":0.0016181299,"about_ca_topic_score_gemma":0.0034107263,"teacher_disagreement_score":0.0016181299,"about_ca_system_score_codex":0.00021826391,"about_ca_system_score_gemma":0.00020910309,"threshold_uncertainty_score":0.004290521},"labels":[],"label_agreement":null},{"id":"W2981642257","doi":"10.4095/219795","title":"Estimation of Crop Cover and Chlorophyll from Hyperspectral Remote Sensing","year":2001,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Hyperspectral imaging; Remote sensing; Cover (algebra); Estimation; Crop; Environmental science; Chlorophyll; Cover crop; Geography; Biology; Agroforestry; Forestry; Botany; Engineering","score_opus":0.02468746234124715,"score_gpt":0.2430002067319242,"score_spread":0.21831274439067705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981642257","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":[0.9747898,0.00025644008,0.021836564,0.000025165076,0.0000026107055,0.000035860983,0.0007742457,0.00015489013,0.0021244085],"genre_scores_gemma":[0.9695458,0.00027582143,0.02722169,0.000011910537,0.000003819451,0.000023790957,0.0019038896,0.0000269077,0.0009864728],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998902,0.000010814064,0.0000024847525,0.000024079704,0.000058719208,0.000013579898],"domain_scores_gemma":[0.99991715,0.000017019827,0.000018864619,0.000008768947,0.000031961277,0.000006308078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014191102,0.000336629,0.00017814302,0.0008311903,0.00016412958,0.00027876755,0.00016937166,0.000155515,0.0005814723],"category_scores_gemma":[0.0004692466,0.00017100236,0.00016158016,0.0006830739,0.0001491691,0.00029447442,0.00018740211,0.00012785509,0.00029024138],"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":[0.0003839425,0.00012321613,0.24201015,0.0002655765,0.00016462045,0.00022420275,0.00028170287,0.05432262,0.43276706,0.0004837785,0.0013496808,0.26762342],"study_design_scores_gemma":[0.00002865787,0.00007927465,0.78124493,0.0000138596115,0.0000535828,0.00016126303,0.00016592762,0.15905155,0.05654492,0.0005583382,0.0020584657,0.000039275514],"about_ca_topic_score_codex":0.040700298,"about_ca_topic_score_gemma":0.09657082,"teacher_disagreement_score":0.040700298,"about_ca_system_score_codex":0.00054492673,"about_ca_system_score_gemma":0.0003459014,"threshold_uncertainty_score":0.080926776},"labels":[],"label_agreement":null},{"id":"W2981672736","doi":"10.4095/225402","title":"Fourth generation seismic hazard maps of Canada: Maps and grid values to be used with the 2005 National Building Code of Canada","year":2008,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Seismic hazard; Grid; Code (set theory); Hazard; Geography; Building code; Hazard map; Computer science; Seismology; Cartography; Environmental resource management; Environmental science; Geology; Civil engineering; Engineering; Geodesy; Programming language; Ecology","score_opus":0.03264355663722579,"score_gpt":0.2184480590983446,"score_spread":0.18580450246111882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981672736","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014740942,0.00025240803,0.004810567,0.00041805208,0.00006724802,0.00038814082,0.91564924,0.0016020617,0.062071405],"genre_scores_gemma":[0.10023196,0.0010273407,0.031876713,0.00011550684,0.000025443953,0.0005290052,0.7983945,0.00062461593,0.06717486],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999432,0.000016487975,0.000019506337,0.000034490196,0.00036078002,0.00013662566],"domain_scores_gemma":[0.9971105,0.00006807046,0.000097382086,0.000096298965,0.0024712856,0.00015650524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003083419,0.0008740625,0.00033881384,0.0056372746,0.0011017864,0.0012333697,0.0012351114,0.0002827969,0.029073242],"category_scores_gemma":[0.0025599112,0.00038287693,0.000462808,0.011242292,0.00024472838,0.00046021416,0.00060419407,0.0006642083,0.0060083126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011745981,0.00007266974,0.024718931,0.00028889862,0.000045187815,0.00015462626,0.00036756392,0.016475657,0.000684237,0.0063264314,0.8744355,0.0763129],"study_design_scores_gemma":[0.000073412724,0.000018724555,0.17250003,0.00020394447,0.000033840988,0.00015010327,0.0008184406,0.018028952,0.0011502929,0.0018243549,0.805091,0.00010688397],"about_ca_topic_score_codex":0.992691,"about_ca_topic_score_gemma":0.9919561,"teacher_disagreement_score":0.029073242,"about_ca_system_score_codex":0.024117103,"about_ca_system_score_gemma":0.04839222,"threshold_uncertainty_score":0.17498267},"labels":[],"label_agreement":null},{"id":"W2981720704","doi":"10.4095/219792","title":"Forest Type Discrimination Using SAR Polarization Information","year":2001,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Polarization (electrochemistry); Remote sensing; Environmental science; Geography; Chemistry","score_opus":0.0492140440518652,"score_gpt":0.2638481889410671,"score_spread":0.2146341448892019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981720704","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":[0.9569444,0.00021203278,0.034598403,0.000040700586,0.000015656793,0.00004106399,0.000645962,0.00028653882,0.007215301],"genre_scores_gemma":[0.98726183,0.00011937393,0.01102168,0.000022944965,0.000007908528,0.000008595365,0.000784607,0.000015154881,0.00075797],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998405,0.00003578898,0.0000056019753,0.000026665852,0.000049680682,0.0000416968],"domain_scores_gemma":[0.99972767,0.0000800239,0.000028265109,0.000025309537,0.0001182813,0.000020547033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000322399,0.00034178136,0.00026877865,0.00072957535,0.00019186128,0.00044817865,0.00013227713,0.00013138348,0.0011650127],"category_scores_gemma":[0.00063454895,0.00010883691,0.00013642643,0.00051333394,0.00017387142,0.00028238975,0.00017695474,0.00015239167,0.00038862217],"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":[0.0022650545,0.00009635845,0.26122287,0.00020766893,0.0000698582,0.00040087872,0.00019283373,0.0308264,0.4010155,0.0012101403,0.0012520485,0.3012405],"study_design_scores_gemma":[0.000100831465,0.00027060282,0.56343836,0.00004688513,0.00017630827,0.0012811876,0.00049321813,0.27463174,0.1513734,0.0020052884,0.0060944753,0.000087706045],"about_ca_topic_score_codex":0.009033865,"about_ca_topic_score_gemma":0.023862459,"teacher_disagreement_score":0.009033865,"about_ca_system_score_codex":0.00021214734,"about_ca_system_score_gemma":0.00032662132,"threshold_uncertainty_score":0.017962575},"labels":[],"label_agreement":null},{"id":"W2981737901","doi":"10.4095/219665","title":"Development of Thematic Browse Products to Aid in the Analysis of National Satellite Image Data Sets","year":2000,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Natural Resources Canada","funders":"","keywords":"Thematic map; Satellite; Satellite image; Remote sensing; Computer science; Geography; Information retrieval; Cartography; Engineering","score_opus":0.11802289620015656,"score_gpt":0.3210615244514157,"score_spread":0.20303862825125918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981737901","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025708865,0.00015667289,0.9266961,0.0002409096,0.000046503214,0.0009515094,0.00485413,0.035747662,0.0055977195],"genre_scores_gemma":[0.01606919,0.00011713987,0.974736,0.00004244431,0.000013939581,0.00032342892,0.006250991,0.0007985427,0.0016483504],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994147,0.00013683103,0.00004944819,0.00008512284,0.00028569237,0.00002819693],"domain_scores_gemma":[0.99605453,0.0014715767,0.00015535858,0.0007190842,0.0014240937,0.0001754858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034991396,0.00052271486,0.00049757614,0.0027198019,0.0004452371,0.0012807925,0.0007218276,0.00040264428,0.0050800657],"category_scores_gemma":[0.008307736,0.0005516533,0.000581265,0.0016065753,0.00032281238,0.00233757,0.0013355821,0.00067476067,0.00264257],"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":[0.0005014638,0.00038982448,0.008246483,0.000584988,0.00017511212,0.00065869984,0.0014978584,0.007037579,0.080667816,0.013141116,0.06353903,0.82355994],"study_design_scores_gemma":[0.00039300256,0.00078831805,0.026552599,0.00038791512,0.00025940966,0.002322205,0.0013149069,0.47575775,0.14548533,0.021851145,0.3246056,0.00028187723],"about_ca_topic_score_codex":0.0026934787,"about_ca_topic_score_gemma":0.004069239,"teacher_disagreement_score":0.0050800657,"about_ca_system_score_codex":0.00020911923,"about_ca_system_score_gemma":0.0007067541,"threshold_uncertainty_score":0.018505394},"labels":[],"label_agreement":null},{"id":"W2981846308","doi":"10.4095/219782","title":"Sensitivity of Landscape Indices to Classification Accuracy","year":2001,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Natural Resources Canada","funders":"","keywords":"Sensitivity (control systems); Computer science; Geography; Statistics; Cartography; Artificial intelligence; Mathematics; Engineering","score_opus":0.05816205347329144,"score_gpt":0.2889128933335078,"score_spread":0.23075083986021633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981846308","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":[0.9347062,0.0009917745,0.055645783,0.0003824388,0.000066447035,0.00015548237,0.0011405232,0.000614297,0.0062971176],"genre_scores_gemma":[0.98897934,0.00013608129,0.009188419,0.0000972314,0.000022803295,0.000050777267,0.00089959987,0.00015731422,0.00046847525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97699076,0.012182935,0.0011468309,0.0027638085,0.0060749305,0.0008407615],"domain_scores_gemma":[0.71486175,0.25067735,0.008726045,0.016784748,0.008303501,0.0006465499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024835138,0.000610231,0.000863368,0.0018758755,0.00049032195,0.0023588245,0.00059684797,0.0011690179,0.0010738069],"category_scores_gemma":[0.15169586,0.0005468071,0.0008626609,0.002251497,0.0012487003,0.0019459373,0.0013181048,0.0013078868,0.00034222475],"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":[0.0012375198,0.00015888317,0.24391228,0.00016096959,0.0006313033,0.00032585883,0.0003604975,0.6817085,0.011067663,0.00300959,0.001572837,0.055854082],"study_design_scores_gemma":[0.00004995353,0.0005002297,0.21948855,0.000070437774,0.0003020645,0.0008220256,0.0002102601,0.7410363,0.026356386,0.009073059,0.0019177337,0.00017301297],"about_ca_topic_score_codex":0.0047469116,"about_ca_topic_score_gemma":0.0029662747,"teacher_disagreement_score":0.024835138,"about_ca_system_score_codex":0.0016081479,"about_ca_system_score_gemma":0.00044259927,"threshold_uncertainty_score":0.13134235},"labels":[],"label_agreement":null},{"id":"W2982053709","doi":"10.4095/219855","title":"Application of Hyperspectral Remote Sensing for LAI Estimation in Precision Farming","year":2001,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Hyperspectral imaging; Remote sensing; Precision agriculture; Estimation; Environmental science; Agriculture; Computer science; Geography; Engineering","score_opus":0.03153163607116227,"score_gpt":0.28742424343132716,"score_spread":0.2558926073601649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982053709","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86773485,0.0025924603,0.105009004,0.00039389258,0.000031599655,0.00022530089,0.0007828381,0.00039022023,0.02283995],"genre_scores_gemma":[0.9269767,0.0013476649,0.06699432,0.000048466838,0.000023850356,0.000045752502,0.00058746984,0.00001774451,0.0039580106],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973947,0.000058639787,0.000007533179,0.000032425844,0.00014572807,0.000016188997],"domain_scores_gemma":[0.99978167,0.000058686182,0.000025965308,0.000030014677,0.00009525944,0.00000847198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050861586,0.0002792232,0.00012463827,0.0005035431,0.00023036897,0.00035101,0.00019254907,0.00020774796,0.000980685],"category_scores_gemma":[0.00072544045,0.00014987227,0.00011181483,0.00093128945,0.0001975552,0.00038638743,0.00021547987,0.00013531986,0.00024712988],"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":[0.00039659647,0.00032969465,0.095190786,0.00035454473,0.00008440818,0.0003140887,0.0004729245,0.05606855,0.12550068,0.0018683346,0.0031040383,0.71631527],"study_design_scores_gemma":[0.00008522897,0.0004464437,0.5482279,0.00007018089,0.00010536111,0.00059298053,0.0008358483,0.3436816,0.08805196,0.0032404398,0.014574764,0.000087293396],"about_ca_topic_score_codex":0.023956098,"about_ca_topic_score_gemma":0.040314537,"teacher_disagreement_score":0.023956098,"about_ca_system_score_codex":0.00047748757,"about_ca_system_score_gemma":0.00045247498,"threshold_uncertainty_score":0.04763329},"labels":[],"label_agreement":null},{"id":"W2982089734","doi":"10.4095/219631","title":"Combining Optical and Radar Satellite Image Data for Surveillance of Coastal Waters","year":2000,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Remote sensing; Satellite; Radar; Satellite image; Computer science; Environmental science; Geology; Telecommunications; Engineering","score_opus":0.04851673877495234,"score_gpt":0.27253212579491864,"score_spread":0.22401538701996632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982089734","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95743227,0.0017292883,0.027593894,0.00027588522,0.000051020208,0.00033896105,0.0012150736,0.00019069832,0.011172857],"genre_scores_gemma":[0.897144,0.0014007589,0.097106986,0.00013357999,0.00009932883,0.000107533,0.0017135113,0.000026069783,0.002268202],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940777,0.00017453481,0.000032346034,0.00006338841,0.00025937695,0.00006267322],"domain_scores_gemma":[0.9990491,0.00027113152,0.00012324424,0.000116807554,0.0003919717,0.000047769598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001228687,0.00025724497,0.0002096123,0.0013904169,0.0002340682,0.0006167778,0.00022441574,0.00020223123,0.0006493862],"category_scores_gemma":[0.002098953,0.00014579401,0.00020128187,0.0013056335,0.0001354726,0.000526721,0.00035252483,0.0001376948,0.00021896594],"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":[0.0005037522,0.00032549156,0.38570744,0.000389565,0.00017272602,0.0002453482,0.00043084205,0.008105051,0.11154734,0.00044597618,0.0012073681,0.49091905],"study_design_scores_gemma":[0.00013892993,0.001768122,0.8325894,0.00014772492,0.00076068856,0.0011322527,0.0017874984,0.049580984,0.089437336,0.00069909974,0.021856131,0.00010180493],"about_ca_topic_score_codex":0.011108595,"about_ca_topic_score_gemma":0.048574667,"teacher_disagreement_score":0.011108595,"about_ca_system_score_codex":0.0002112739,"about_ca_system_score_gemma":0.00052839075,"threshold_uncertainty_score":0.022087872},"labels":[],"label_agreement":null},{"id":"W2982170513","doi":"10.4095/220024","title":"Accuracy assessment of global land cover products derived from satellite data","year":2003,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Land cover; Satellite; Cover (algebra); Remote sensing; Environmental science; Geography; Land use; Biology; Ecology; Engineering","score_opus":0.07533219262385672,"score_gpt":0.3201229228635264,"score_spread":0.24479073023966968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982170513","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":[0.8293751,0.006413716,0.09910925,0.0010158211,0.00018867693,0.00054795627,0.022435796,0.0016576604,0.039256055],"genre_scores_gemma":[0.91654724,0.0019276729,0.054770697,0.00009446472,0.00009573962,0.00015710485,0.02234864,0.00019664288,0.0038618208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937317,0.0011755961,0.0005000736,0.0003985676,0.003976342,0.0002177874],"domain_scores_gemma":[0.98118615,0.006957797,0.0013264632,0.001775952,0.008641439,0.00011205153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007563567,0.0005431797,0.00037217332,0.0037684701,0.00030929374,0.001349908,0.0006038346,0.0005459566,0.0011433347],"category_scores_gemma":[0.02226118,0.00017257551,0.00060721015,0.0029627176,0.00042204114,0.0010024527,0.00069113134,0.00030398084,0.00065973593],"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":[0.00041074835,0.00015399596,0.4893733,0.00058218907,0.00035087462,0.00029917253,0.0006150165,0.075822234,0.010460928,0.0029840872,0.010161552,0.40878588],"study_design_scores_gemma":[0.000059038724,0.0004485259,0.81112105,0.00033049352,0.00037654527,0.0005357471,0.00080850936,0.11979483,0.03758731,0.003307898,0.02552892,0.00010103972],"about_ca_topic_score_codex":0.019203994,"about_ca_topic_score_gemma":0.018182805,"teacher_disagreement_score":0.019203994,"about_ca_system_score_codex":0.0013263697,"about_ca_system_score_gemma":0.000796003,"threshold_uncertainty_score":0.04000044},"labels":[],"label_agreement":null},{"id":"W2982262304","doi":"10.4095/219750","title":"Development of Remote Sensing Image Products for Use in Precision Farming","year":2001,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Precision agriculture; Remote sensing; Agriculture; Computer vision; Computer science; Environmental science; Artificial intelligence; Geography","score_opus":0.078979389963045,"score_gpt":0.2841587042612135,"score_spread":0.2051793142981685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982262304","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":[0.19034097,0.0025840588,0.5729217,0.0015291509,0.0004053862,0.006290735,0.05478274,0.014211843,0.15693344],"genre_scores_gemma":[0.12532113,0.0017554516,0.7509414,0.00022602039,0.00012806643,0.0014840638,0.08621196,0.000908467,0.0330234],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951017,0.00006150712,0.000017842498,0.000052951607,0.0003249565,0.000032601605],"domain_scores_gemma":[0.9984925,0.00018536185,0.00007199253,0.0002354986,0.0009600099,0.0000546358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011386436,0.0006875772,0.00032653447,0.0015011737,0.00031907915,0.00052255247,0.0005844616,0.0004992842,0.007673655],"category_scores_gemma":[0.0022281033,0.00033638725,0.000253494,0.0014824288,0.00017807442,0.0010071712,0.0003339333,0.00042928886,0.005850579],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031076663,0.0005032663,0.00879581,0.00042444773,0.0000449764,0.00025786046,0.00013853707,0.00572151,0.12352372,0.002917747,0.05428134,0.80307996],"study_design_scores_gemma":[0.00035856824,0.0010250497,0.10965419,0.00027063672,0.00012952999,0.0012139975,0.00028566815,0.050779283,0.40218204,0.0042177504,0.4297679,0.00011542883],"about_ca_topic_score_codex":0.0026125843,"about_ca_topic_score_gemma":0.004722283,"teacher_disagreement_score":0.007673655,"about_ca_system_score_codex":0.00025210474,"about_ca_system_score_gemma":0.0005891504,"threshold_uncertainty_score":0.025670946},"labels":[],"label_agreement":null},{"id":"W2990867087","doi":"10.18280/ria.330308","title":"A Neighborhood Structure-Preserving Bi-objective Optimization Method Based on Class Center and Discriminant Analysis and Its Application in Facial Recognition","year":2019,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Linear discriminant analysis; Center (category theory); Pattern recognition (psychology); Class (philosophy); Discriminant; Artificial intelligence; Computer science; Facial recognition system; Mathematics","score_opus":0.0209425964367507,"score_gpt":0.2507955539728431,"score_spread":0.2298529575360924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990867087","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00561633,0.00016268819,0.993421,0.00004587343,0.000020278494,0.00001753097,0.000015990776,0.00011733713,0.00058291474],"genre_scores_gemma":[0.27270195,0.0005939402,0.721082,0.0001160642,0.00008014042,0.00027329638,0.0002122371,0.00021932636,0.0047211023],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995307,0.00011121703,0.000023211504,0.00012667294,0.0001755268,0.000032766107],"domain_scores_gemma":[0.9997098,0.00008696733,0.000030120875,0.000028414277,0.00012802685,0.000016692808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008454859,0.00082172285,0.00092423015,0.00090819545,0.00046383176,0.000618213,0.00076882314,0.00057130784,0.0011267209],"category_scores_gemma":[0.0010094105,0.000335338,0.00095381663,0.0007529176,0.00046302844,0.00091323955,0.00070733525,0.0008333696,0.0003215628],"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":[0.00011041112,0.00011428243,0.001364308,0.00020644319,0.00015363006,0.00008209199,0.00013199984,0.44019362,0.024540469,0.013710074,0.0038645728,0.51552814],"study_design_scores_gemma":[0.0000047252806,0.000028149245,0.00025117616,0.0000042304014,0.000012616764,0.000027315571,0.000009791793,0.9957568,0.0018693714,0.0013119366,0.0007127732,0.000011209924],"about_ca_topic_score_codex":0.0043556667,"about_ca_topic_score_gemma":0.0030016236,"teacher_disagreement_score":0.0043556667,"about_ca_system_score_codex":0.00054105103,"about_ca_system_score_gemma":0.0010223604,"threshold_uncertainty_score":0.0086606145},"labels":[],"label_agreement":null},{"id":"W2992105943","doi":"","title":"Site selection of the suitable areas for the physical development of Tehran megalopolis based on the climatic elements and geographic factors","year":2012,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Remote Sensing and Land Use","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":"Megalopolis; Selection (genetic algorithm); Persian; Geography; Environmental planning; Computer science; Economic geography; Artificial intelligence","score_opus":0.16145189734657925,"score_gpt":0.4449946540117547,"score_spread":0.2835427566651755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992105943","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":[0.9755618,0.00022343885,0.006580314,0.00013337196,0.000025628471,0.00037642004,0.00487275,0.00018725576,0.01203905],"genre_scores_gemma":[0.97131336,0.00017379968,0.02179498,0.0000089099685,0.000010403494,0.00024119412,0.0034022925,0.00002362667,0.0030313563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976176,0.000042094725,0.000017877124,0.00005045753,0.00007267596,0.00005506484],"domain_scores_gemma":[0.9996488,0.000056106765,0.00007853152,0.00002276798,0.00013738223,0.000056364835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003409544,0.00034836537,0.00023663277,0.0024902793,0.00040713293,0.00091075443,0.00050353905,0.00018322762,0.0053722113],"category_scores_gemma":[0.0007437079,0.00017913674,0.00034251573,0.0022844316,0.0001878601,0.0002857982,0.00047729415,0.00015175842,0.00070715556],"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":[0.00030080878,0.00018692913,0.8204018,0.00055384106,0.00012534123,0.001295305,0.0017187176,0.016622484,0.010742712,0.002199309,0.009290174,0.13656263],"study_design_scores_gemma":[0.000032181906,0.00012289475,0.9669018,0.00007135158,0.00007544124,0.00025722297,0.004033553,0.015038796,0.0038710234,0.00044921468,0.009112191,0.00003438948],"about_ca_topic_score_codex":0.013923241,"about_ca_topic_score_gemma":0.042101853,"teacher_disagreement_score":0.013923241,"about_ca_system_score_codex":0.00061144086,"about_ca_system_score_gemma":0.0014422052,"threshold_uncertainty_score":0.02768439},"labels":[],"label_agreement":null},{"id":"W2995691767","doi":"10.11575/prism/36411","title":"Remote Sensing of Forest Fire Danger Forecasting","year":2019,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science Research and Technology; International Center for Agricultural Research in the Dry Areas; National Aeronautics and Space Administration","keywords":"Remote sensing; Environmental science; Geography; Environmental resource management; Forestry; Meteorology","score_opus":0.014646919253077177,"score_gpt":0.18580412204702443,"score_spread":0.17115720279394725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995691767","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":[0.92279917,0.0008929147,0.048966367,0.00032977597,0.0000619255,0.00016412043,0.0071936985,0.0014947221,0.018097395],"genre_scores_gemma":[0.9675771,0.0002134311,0.028235042,0.00002624355,0.000008787564,0.000018010887,0.002483009,0.000013385078,0.0014250971],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998468,0.000013921951,0.000006188348,0.000027891008,0.000078150384,0.000026923084],"domain_scores_gemma":[0.9997992,0.000030535797,0.00002002955,0.000013881621,0.000117083364,0.000019332623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035371855,0.00034866593,0.00015763995,0.001160224,0.00024916336,0.0004599,0.00042947245,0.00017423937,0.0010985532],"category_scores_gemma":[0.0006383364,0.00009294621,0.00025467938,0.0012244694,0.00012181711,0.00026317785,0.00023404899,0.00020280993,0.00021847818],"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":[0.00035175335,0.00018026575,0.27174586,0.0003058048,0.00009565829,0.0003555493,0.00061932474,0.22576986,0.041331314,0.0023497,0.008360102,0.4485348],"study_design_scores_gemma":[0.000024098668,0.000051044328,0.32416284,0.00006525855,0.000053467676,0.00012278985,0.00061264145,0.65919846,0.006926339,0.00082264515,0.00790203,0.00005824699],"about_ca_topic_score_codex":0.56865776,"about_ca_topic_score_gemma":0.6294919,"teacher_disagreement_score":0.43134224,"about_ca_system_score_codex":0.0012833794,"about_ca_system_score_gemma":0.001430194,"threshold_uncertainty_score":0.867765},"labels":[],"label_agreement":null},{"id":"W29958615","doi":"10.1016/j.ijporl.2018.05.012","title":"Automated Building Information Extraction and Evaluation from High-resolution Remotely Sensed Data","year":2014,"lang":"en","type":"article","venue":"International Journal of Pediatric Otorhinolaryngology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"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":"Natural Sciences and Engineering Research Council of Canada; Beijing Normal University","keywords":"Remote sensing; Computer science; Information extraction; High resolution; Artificial intelligence; Geography","score_opus":0.02276294672087082,"score_gpt":0.28150338131498526,"score_spread":0.25874043459411444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W29958615","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":[0.30328685,0.0013798843,0.66682005,0.0004829092,0.00018554793,0.0006082096,0.009195746,0.0130717885,0.004969002],"genre_scores_gemma":[0.600907,0.00073038856,0.38112947,0.00008279729,0.00007793389,0.0002356463,0.0148548,0.00027112637,0.0017109179],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994585,0.000064789354,0.000049873477,0.00013414212,0.00018622936,0.00010645572],"domain_scores_gemma":[0.99939096,0.00016658427,0.0000626797,0.00010914033,0.0002292446,0.000041423573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005651068,0.0012093921,0.00085043156,0.004505453,0.00043856894,0.0011775324,0.0011082281,0.0011316221,0.0021094368],"category_scores_gemma":[0.0015159162,0.00042099797,0.0012180187,0.0022393037,0.00028590555,0.00080180925,0.0010361237,0.00066971575,0.0023628755],"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":[0.00050604873,0.00045925108,0.023501936,0.00065754174,0.0002642786,0.001956576,0.00044577353,0.079519354,0.087186255,0.0012813178,0.0076697934,0.7965519],"study_design_scores_gemma":[0.00004559737,0.0002013743,0.04746435,0.00010243542,0.00019802987,0.0011256194,0.000735417,0.899383,0.038216647,0.0024516801,0.009991013,0.0000848783],"about_ca_topic_score_codex":0.006846432,"about_ca_topic_score_gemma":0.011804569,"teacher_disagreement_score":0.006846432,"about_ca_system_score_codex":0.00032555065,"about_ca_system_score_gemma":0.0007451916,"threshold_uncertainty_score":0.013613164},"labels":[],"label_agreement":null},{"id":"W2997247601","doi":"10.18280/isi.240611","title":"Classification of Urban Land Use Based on Graph Theory and Geographic Information System","year":2019,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geographic information system; Computer science; Land use; Geography; Graph theory; Graph; Theoretical computer science; Cartography; Mathematics; Engineering; Civil engineering; Combinatorics","score_opus":0.009665912447099925,"score_gpt":0.18240216204432388,"score_spread":0.17273624959722395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997247601","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":[0.112175785,0.004878201,0.85208404,0.0013252525,0.00018098357,0.0004845894,0.0023158365,0.0007668097,0.025788436],"genre_scores_gemma":[0.71661025,0.0030215979,0.2735214,0.00016463408,0.00014278007,0.00022905906,0.003529141,0.00007384847,0.0027072905],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942976,0.00017877792,0.000047360958,0.00009835596,0.0002016117,0.00004404917],"domain_scores_gemma":[0.9994153,0.0002760305,0.000072036535,0.000042268486,0.00016224412,0.000032068398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004569538,0.00031114934,0.00039765524,0.0067807604,0.00048641558,0.0015713067,0.0005066577,0.00038696374,0.0015434816],"category_scores_gemma":[0.0015171126,0.00010718989,0.0006767565,0.0050006853,0.00083814387,0.001463317,0.00047964047,0.00031201853,0.0003723749],"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":[0.00013444955,0.00013914365,0.033272482,0.00062677084,0.00026274007,0.0003822565,0.000545809,0.13265921,0.005088055,0.36018467,0.011394882,0.45530942],"study_design_scores_gemma":[0.000022298631,0.000101986974,0.026583921,0.00016821499,0.00011879231,0.00054353464,0.00085454324,0.64613324,0.0018128832,0.28781316,0.03577822,0.000069221795],"about_ca_topic_score_codex":0.011286631,"about_ca_topic_score_gemma":0.007648895,"teacher_disagreement_score":0.011286631,"about_ca_system_score_codex":0.0010704007,"about_ca_system_score_gemma":0.0007086587,"threshold_uncertainty_score":0.022441864},"labels":[],"label_agreement":null},{"id":"W3005681426","doi":"","title":"COMPARISON OF NINE IMAGE CLASSIFICATION METHODS ON LANDSAT 7 IMAGERY","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Remote sensing; Satellite imagery; Image (mathematics); Geography; Cartography; Geology; Computer science; Artificial intelligence","score_opus":0.35378609225016205,"score_gpt":0.5912083264764781,"score_spread":0.2374222342263161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005681426","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":[0.7711557,0.0015783245,0.20154944,0.00035886953,0.00035963833,0.00093924697,0.0031441473,0.0033160648,0.017598614],"genre_scores_gemma":[0.6490324,0.001137314,0.34094524,0.000094553485,0.000045953766,0.00045507378,0.0043021,0.0006083802,0.0033789556],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99621993,0.0010241856,0.0004143881,0.0005554676,0.0015441322,0.00024193058],"domain_scores_gemma":[0.99265915,0.0027700043,0.00044798877,0.00045524066,0.003547636,0.00011999599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00620769,0.0011943846,0.000709526,0.006518591,0.00065515726,0.0017783296,0.0009338915,0.0006902059,0.0023615337],"category_scores_gemma":[0.008723499,0.00034228837,0.0010872331,0.003711953,0.00043954974,0.0016565149,0.00079945975,0.0005052165,0.0009912536],"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":[0.0025804723,0.0007319182,0.06886668,0.0015230268,0.0009414476,0.00015978096,0.0011591329,0.017921891,0.022779131,0.0015419368,0.0064012213,0.8753932],"study_design_scores_gemma":[0.00047487218,0.0018589267,0.50418526,0.00063925784,0.0013725755,0.00068370544,0.004567213,0.3835948,0.07354204,0.0035495886,0.025140513,0.00039119253],"about_ca_topic_score_codex":0.0053360537,"about_ca_topic_score_gemma":0.009663008,"teacher_disagreement_score":0.006518591,"about_ca_system_score_codex":0.0008445716,"about_ca_system_score_gemma":0.000761657,"threshold_uncertainty_score":0.03282982},"labels":[],"label_agreement":null},{"id":"W3014298153","doi":"","title":"Moisture content assessment in the Hudson Bay lowlands, Canada, through high-spectral resolution remote sensing technology","year":2009,"lang":"en","type":"article","venue":"PhDT","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Bay; Water content; High resolution; Environmental science; Meteorology; Geography; Oceanography; Geology","score_opus":0.01941583101876068,"score_gpt":0.22755891819205207,"score_spread":0.20814308717329139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014298153","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":[0.9906837,0.0006446221,0.00053781655,0.00023696641,0.000013928404,0.000054873195,0.004204412,0.00003778918,0.0035858934],"genre_scores_gemma":[0.99468505,0.0002911691,0.0010237088,0.0000615125,0.000003080789,0.000012384549,0.0011254607,0.000009923327,0.0027877213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969983,0.000020298763,0.00001751601,0.000047870282,0.00013908446,0.00007539432],"domain_scores_gemma":[0.99946433,0.000027807688,0.000042575575,0.00001146048,0.0003779738,0.00007599318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003692693,0.0002594173,0.00028549778,0.0012621123,0.0012390746,0.0013459316,0.00085399277,0.00023323856,0.0009935863],"category_scores_gemma":[0.00077146414,0.00019361041,0.00018762327,0.001985631,0.00045924852,0.00039318387,0.00047535516,0.0002798628,0.00017248832],"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":[0.0002639663,0.000097427524,0.9419176,0.00015501522,0.0001318398,0.00038465115,0.0010696377,0.0029017942,0.0050754757,0.00047715553,0.0033390783,0.044186357],"study_design_scores_gemma":[0.000023016164,0.000015555288,0.9908997,0.00003713464,0.000034317407,0.000042937736,0.001842391,0.0031449604,0.0009147077,0.00005352899,0.0029753959,0.00001626658],"about_ca_topic_score_codex":0.995701,"about_ca_topic_score_gemma":0.9985618,"teacher_disagreement_score":0.017193373,"about_ca_system_score_codex":0.017193373,"about_ca_system_score_gemma":0.016009178,"threshold_uncertainty_score":0.12474728},"labels":[],"label_agreement":null},{"id":"W3016688912","doi":"10.1088/1757-899x/775/1/012034","title":"Urban morphotypes and functional diversity of city environment","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"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":"Geography; Quarter (Canadian coin); Service (business); Recreation; Environmental planning; Diversity (politics); Business; Spatial organization; Renting; Space (punctuation); Population; Public service; Public space; Transport engineering; Civil engineering; Architectural engineering; Ecology; Marketing; Engineering; Sociology; Political science; Public administration; Archaeology; Computer science","score_opus":0.021573392526386972,"score_gpt":0.15560505548552703,"score_spread":0.13403166295914004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016688912","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":[0.99809855,0.000038960454,0.00019050832,0.000010690701,0.0000016015977,0.0000050174394,0.00025665978,0.0000050669682,0.0013931002],"genre_scores_gemma":[0.99966383,0.000012803823,0.00007625084,8.8009494e-7,0.0000012547383,0.00000314408,0.00014140712,0.0000013267144,0.00009912147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977654,0.0000636909,0.000020777468,0.00004973714,0.00004392637,0.000045347726],"domain_scores_gemma":[0.9995759,0.00008921599,0.00015616033,0.00004585268,0.00007167898,0.00006110213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014890051,0.00016911427,0.00014390745,0.0022176735,0.00045717903,0.0008097898,0.00017966755,0.00014344181,0.0030757529],"category_scores_gemma":[0.0006042902,0.00009149906,0.00021783584,0.0016959058,0.000633085,0.00036319395,0.0009545967,0.00012064182,0.0001858219],"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":[0.00020470834,0.00003546975,0.9819515,0.000045296732,0.00009653916,0.00020605217,0.0012351422,0.00088642136,0.0027176319,0.0019565641,0.00024075102,0.010423799],"study_design_scores_gemma":[0.0000017556648,0.000033371885,0.99602985,0.0000052736514,0.000010146305,0.00014676321,0.0023188195,0.0003917687,0.00018076284,0.00039069547,0.00048485355,0.000006044645],"about_ca_topic_score_codex":0.0019821508,"about_ca_topic_score_gemma":0.003571417,"teacher_disagreement_score":0.0030757529,"about_ca_system_score_codex":0.00025020537,"about_ca_system_score_gemma":0.0001189943,"threshold_uncertainty_score":0.010289431},"labels":[],"label_agreement":null},{"id":"W3016892026","doi":"","title":"Impact of drought on surface albedo in Canadian Prairie observed from Terra- MODIS","year":2009,"lang":"en","type":"article","venue":"AGUSM","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Albedo (alchemy); Environmental science; Remote sensing; Geography; Physical geography; Climatology; Geology; History","score_opus":0.02568525357087616,"score_gpt":0.2380979438623564,"score_spread":0.21241269029148022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016892026","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":[0.99779296,0.000090762514,0.00004580915,0.0001118859,0.000010332701,0.0000033342965,0.001196683,0.000017072436,0.00073111063],"genre_scores_gemma":[0.99856514,0.00006298939,0.000069585265,0.000032512373,0.000004029428,0.0000019825927,0.00094845163,0.0000061993405,0.00030908282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996989,0.000022898337,0.000014808635,0.00006571532,0.000081489285,0.00011625098],"domain_scores_gemma":[0.99890685,0.00022021272,0.000108493805,0.000055208126,0.00049804494,0.00021130042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006036286,0.00025448884,0.00027771463,0.00046123794,0.0009404939,0.00074039167,0.00052527734,0.00047485292,0.0010565721],"category_scores_gemma":[0.0015985012,0.00024386263,0.00028547138,0.0008571114,0.00049409433,0.0005057484,0.00037613287,0.00045130306,0.00012193308],"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":[0.0006102156,0.00015773639,0.96096265,0.000078371275,0.00023874812,0.00028611824,0.0004805573,0.012531468,0.011290158,0.00033850694,0.0034334403,0.009592045],"study_design_scores_gemma":[0.000009706229,0.000007899911,0.9958469,0.000003542377,0.000024709518,0.000012769505,0.00016016891,0.0032570048,0.0002689866,0.000015346335,0.00038566964,0.000007221929],"about_ca_topic_score_codex":0.9444953,"about_ca_topic_score_gemma":0.96535134,"teacher_disagreement_score":0.05550468,"about_ca_system_score_codex":0.0068804794,"about_ca_system_score_gemma":0.004145423,"threshold_uncertainty_score":0.11166304},"labels":[],"label_agreement":null},{"id":"W3027732676","doi":"10.18280/ts.370218","title":"An Automatic Method for Unsupervised Feature Selection of Hyperspectral Images Based on Fuzzy Clustering of Bands","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hyperspectral imaging; Pattern recognition (psychology); Artificial intelligence; Feature selection; Computer science; Cluster analysis; Feature (linguistics); Selection (genetic algorithm); Fuzzy logic; Fuzzy clustering; Data mining","score_opus":0.019532254365120613,"score_gpt":0.2489957344924756,"score_spread":0.229463480127355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027732676","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007933574,0.000085925014,0.991055,0.000026425318,0.000021994336,0.000051076808,0.000035227185,0.00039686257,0.00039389852],"genre_scores_gemma":[0.1278743,0.00012124556,0.87028867,0.00004509188,0.00004313017,0.00017022595,0.00022133872,0.00009282868,0.001143218],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994048,0.00006738028,0.000036218476,0.0001706005,0.00027477482,0.000046256726],"domain_scores_gemma":[0.9995161,0.00013431923,0.000061121325,0.000045863144,0.00022550489,0.00001697694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005587137,0.0006353426,0.00078248896,0.0019216823,0.0006061187,0.0004493362,0.0009068862,0.0005216517,0.0008973744],"category_scores_gemma":[0.00094557484,0.00027927058,0.0007822627,0.0010520417,0.00040554383,0.00055510073,0.00039473834,0.000665311,0.00039299295],"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":[0.0001598102,0.00017650281,0.0016549112,0.00024666984,0.00013720854,0.00012340276,0.0002081239,0.033109836,0.14131814,0.003658809,0.003392922,0.81581366],"study_design_scores_gemma":[0.00003570203,0.00016322067,0.0069000353,0.000029691884,0.00008279568,0.000599266,0.00011910566,0.90332484,0.07921932,0.0032109069,0.006215871,0.00009926551],"about_ca_topic_score_codex":0.0021048307,"about_ca_topic_score_gemma":0.0032728082,"teacher_disagreement_score":0.0021048307,"about_ca_system_score_codex":0.00037308788,"about_ca_system_score_gemma":0.0005843666,"threshold_uncertainty_score":0.00418514},"labels":[],"label_agreement":null},{"id":"W3033856430","doi":"","title":"Assessment of the GSI Along Rock Slopes Based on LiDAR and Photogrammetry Point Clouds","year":2019,"lang":"en","type":"article","venue":"53rd U.S. Rock Mechanics/Geomechanics Symposium","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":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Photogrammetry; Point cloud; Lidar; Geology; Remote sensing; Point (geometry); Geomorphology; Geometry; Artificial intelligence; Computer science; Mathematics","score_opus":0.007646525185048415,"score_gpt":0.2061353247802939,"score_spread":0.19848879959524549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033856430","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":[0.9818288,0.00025717003,0.0064590145,0.00019556034,0.000025566942,0.00005202223,0.0029872118,0.00039983587,0.007794779],"genre_scores_gemma":[0.9929389,0.000100123034,0.0043123984,0.000012938948,0.0000099555045,0.00000812977,0.0020495483,0.00001938798,0.0005486282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994443,0.000086838096,0.00002917449,0.000069300404,0.00031059887,0.000059765305],"domain_scores_gemma":[0.9990941,0.00014519952,0.000112013004,0.00009102286,0.00047200674,0.00008568994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009734245,0.00044635663,0.0003083313,0.0028857093,0.00025803444,0.0011516046,0.0003842776,0.00049544906,0.0010172592],"category_scores_gemma":[0.00226618,0.00020551674,0.00029361376,0.0018770554,0.00020816633,0.00082597625,0.00061348267,0.00030641042,0.00065420853],"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":[0.00068131136,0.00022366807,0.67624193,0.00018028918,0.00028376986,0.0003667748,0.00041450144,0.12743847,0.02202098,0.0015183855,0.0035920343,0.16703795],"study_design_scores_gemma":[0.000041808635,0.00016433904,0.7269727,0.000058979927,0.000085437205,0.00010137931,0.000531088,0.26382944,0.004168617,0.00045655482,0.0035446207,0.000045084977],"about_ca_topic_score_codex":0.020662015,"about_ca_topic_score_gemma":0.038559254,"teacher_disagreement_score":0.020662015,"about_ca_system_score_codex":0.000496977,"about_ca_system_score_gemma":0.0005656807,"threshold_uncertainty_score":0.041083515},"labels":[],"label_agreement":null},{"id":"W3045668766","doi":"10.18280/ts.370312","title":"An Illumination Insensitive Normalization Approach to Face Recognition Using Locality Sensitive Discriminant Analysis","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Normalization (sociology); Locality; Pattern recognition (psychology); Artificial intelligence; Linear discriminant analysis; Discriminant; Facial recognition system; Computer science; Face (sociological concept); Computer vision; Mathematics","score_opus":0.054494298745657824,"score_gpt":0.2435168385885759,"score_spread":0.18902253984291806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045668766","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":[0.011386448,0.00026780402,0.98676455,0.00005267141,0.000041049145,0.00003806137,0.000031632928,0.00062942534,0.00078827364],"genre_scores_gemma":[0.1815178,0.00053930614,0.8131505,0.00010874411,0.000089842535,0.00014617665,0.00025239674,0.0001255283,0.0040697106],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955505,0.00009257039,0.00002341944,0.00011894552,0.0001765404,0.000033302433],"domain_scores_gemma":[0.9996729,0.00009340323,0.00003865721,0.000066131506,0.0001127491,0.000016235104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006013142,0.0005244711,0.00082993,0.0010952585,0.00044095123,0.00044663434,0.00079683436,0.00038420633,0.0015186432],"category_scores_gemma":[0.00081921165,0.00024206315,0.0007234573,0.0007464745,0.0005171433,0.0007434988,0.0005183245,0.00069622835,0.0011497769],"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":[0.00018641217,0.00017642199,0.0012634691,0.00014264625,0.00009128227,0.000117029274,0.00008338474,0.02705421,0.1776787,0.008594818,0.0021450827,0.7824665],"study_design_scores_gemma":[0.00002063897,0.00024730054,0.003886419,0.000018154744,0.00007916753,0.0006493078,0.000062133025,0.8347975,0.1455073,0.0057918383,0.008859636,0.00008061034],"about_ca_topic_score_codex":0.0011603046,"about_ca_topic_score_gemma":0.0014313101,"teacher_disagreement_score":0.0015186432,"about_ca_system_score_codex":0.0003859703,"about_ca_system_score_gemma":0.00053818175,"threshold_uncertainty_score":0.0050803423},"labels":[],"label_agreement":null},{"id":"W3047548045","doi":"10.5194/isprs-annals-v-3-2020-7-2020","title":"PREFACE: TECHNICAL COMMISSION III","year":2020,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Remote sensing; Library science; Commission; Geography; Cartography; Computer science; Engineering; Political science","score_opus":0.05759358299682165,"score_gpt":0.28010346429604355,"score_spread":0.2225098812992219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047548045","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018866477,0.008355856,0.012573844,0.053604618,0.10660387,0.0022587788,0.033289272,0.0051102736,0.7763169],"genre_scores_gemma":[0.005381192,0.0038343917,0.004058632,0.006465,0.009491518,0.0009725776,0.020671789,0.0021433868,0.94698155],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917121,0.0009844379,0.0007675508,0.0010193014,0.004689394,0.00082726165],"domain_scores_gemma":[0.9730164,0.0015453389,0.0009537082,0.0030629756,0.019360784,0.00206078],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008556065,0.0015090198,0.0009410519,0.0072353184,0.0038842643,0.012054603,0.0025247196,0.003822019,0.31620303],"category_scores_gemma":[0.018702235,0.00090630667,0.0011839275,0.0049791243,0.0011479099,0.0048375432,0.0033460413,0.0052257394,0.34657657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022613782,0.000015447195,0.00009388164,0.00012308056,0.0000028828501,0.00003350992,0.00006174949,0.00006187706,0.0002364972,0.003632188,0.9748137,0.020902522],"study_design_scores_gemma":[0.000002434982,0.0000074802224,0.00030256284,0.00008866899,0.0000016402042,0.00002011888,0.000052203068,0.000019903382,0.00012864354,0.000436514,0.9989348,0.000005032526],"about_ca_topic_score_codex":0.013664712,"about_ca_topic_score_gemma":0.006611198,"teacher_disagreement_score":0.31620303,"about_ca_system_score_codex":0.006063166,"about_ca_system_score_gemma":0.013261396,"threshold_uncertainty_score":0.9753534},"labels":[],"label_agreement":null},{"id":"W3097525070","doi":"10.1130/abs/2020am-356710","title":"TOPOGRAPHIC AND GRAVITY EXPRESSIONS OF LITHOSPHERE REMOVAL","year":2020,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Lithosphere; Geology; Geophysics; Gravity anomaly; Geodesy; Seismology; Tectonics; Paleontology","score_opus":0.022301316276942523,"score_gpt":0.22335134665141557,"score_spread":0.20105003037447305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097525070","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":[0.31016046,0.0008423941,0.5917476,0.0015131336,0.00022673748,0.00010190409,0.0013601978,0.0010246896,0.09302296],"genre_scores_gemma":[0.92873496,0.0004887698,0.044581715,0.00008095263,0.0001268757,0.000033614353,0.0005057079,0.00028634994,0.025161019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998872,0.000028195069,0.000006325172,0.000016630538,0.00003664849,0.000025014417],"domain_scores_gemma":[0.9996691,0.00015424429,0.00004598667,0.000025940752,0.00008963752,0.000015168859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039872245,0.0002527495,0.00016530312,0.00045680703,0.00018978001,0.00079895713,0.00029579125,0.00020412858,0.006448066],"category_scores_gemma":[0.0017906323,0.00009141368,0.00032134552,0.00046228306,0.00044133034,0.0004667186,0.00037556747,0.00029958892,0.0005313785],"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":[0.0002767477,0.00008920279,0.0067154914,0.00026426924,0.00007734331,0.000780282,0.00047918878,0.5127217,0.033888333,0.28025416,0.009256561,0.15519677],"study_design_scores_gemma":[0.000016423588,0.000040468636,0.008638918,0.000023200344,0.0000342649,0.00029106232,0.00015466372,0.943495,0.0097835725,0.03270926,0.00479145,0.000021736398],"about_ca_topic_score_codex":0.0038608464,"about_ca_topic_score_gemma":0.0075032692,"teacher_disagreement_score":0.006448066,"about_ca_system_score_codex":0.00035402336,"about_ca_system_score_gemma":0.0005187305,"threshold_uncertainty_score":0.021570921},"labels":[],"label_agreement":null},{"id":"W3109445726","doi":"10.1117/12.693734","title":"Airborne multidimensional integrated remote sensing system","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Remote Sensing and Land Use","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; Computer science; Geology","score_opus":0.008448461288061659,"score_gpt":0.19592205764729842,"score_spread":0.18747359635923677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109445726","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":[0.091292456,0.001642704,0.853736,0.0003900947,0.0005884718,0.0003965894,0.0038838848,0.022731474,0.025338357],"genre_scores_gemma":[0.50880486,0.0006941725,0.46493593,0.00097048114,0.00040313177,0.00046410802,0.009398484,0.00037124392,0.01395768],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991579,0.00008858093,0.000037084057,0.00029050163,0.00034499224,0.000080997095],"domain_scores_gemma":[0.9995003,0.000033356428,0.000030160663,0.00015092935,0.0002446195,0.00004069809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004910963,0.0005400345,0.00059107254,0.0010017615,0.0005560878,0.0009589156,0.0011495848,0.0007438939,0.0063212826],"category_scores_gemma":[0.00044515604,0.0002494743,0.00039477897,0.00084897736,0.00018623269,0.00086664426,0.0014420596,0.0005728187,0.00332236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077746244,0.00025529854,0.010364004,0.00044043406,0.00021411864,0.00030261526,0.00037996334,0.011214431,0.3201916,0.005392283,0.028028026,0.6224397],"study_design_scores_gemma":[0.000479269,0.0018698975,0.044116348,0.0001744268,0.0006410026,0.0022708338,0.0004906474,0.45804918,0.22844546,0.006417599,0.25667578,0.00036966847],"about_ca_topic_score_codex":0.002035768,"about_ca_topic_score_gemma":0.0018265211,"teacher_disagreement_score":0.0063212826,"about_ca_system_score_codex":0.00036410708,"about_ca_system_score_gemma":0.0004708823,"threshold_uncertainty_score":0.021146774},"labels":[],"label_agreement":null},{"id":"W3111657083","doi":"10.1117/12.2584139","title":"Opening Remarks by Conference Chairs","year":2020,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Natural Resources Canada","funders":"","keywords":"Computer science","score_opus":0.022296206150571554,"score_gpt":0.1932532267498413,"score_spread":0.17095702059926976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111657083","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041315754,0.006631642,0.00067531876,0.14841805,0.81318945,0.00036494542,0.00091126485,0.00032739853,0.029068753],"genre_scores_gemma":[0.0036928314,0.0051842593,0.00096630375,0.107456245,0.29011577,0.0012670833,0.0012711226,0.0008446888,0.5892016],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9925277,0.0010729489,0.00039171195,0.0014284963,0.002899396,0.0016797082],"domain_scores_gemma":[0.982743,0.0011360679,0.00064128765,0.0005202057,0.0059329774,0.009026442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010965714,0.0042561083,0.0025038621,0.0020555358,0.007994087,0.016137468,0.0036286816,0.016966349,0.2233014],"category_scores_gemma":[0.014682585,0.0015026368,0.0029069784,0.0016632393,0.0015959403,0.006510765,0.010004674,0.026188895,0.19139579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005303328,0.00002873087,0.000048853562,0.00006106766,0.0000045483694,0.000045971083,0.00002932071,0.000030946903,0.0001803074,0.0004077497,0.9951864,0.0039230846],"study_design_scores_gemma":[0.000034776866,0.000036261226,0.00040773657,0.00009181718,0.0000056795175,0.000022696868,0.00025525506,0.000045041143,0.000089820955,0.00048128128,0.9985091,0.00002067636],"about_ca_topic_score_codex":0.0039027338,"about_ca_topic_score_gemma":0.009020932,"teacher_disagreement_score":0.2233014,"about_ca_system_score_codex":0.004215796,"about_ca_system_score_gemma":0.007623298,"threshold_uncertainty_score":0.7470176},"labels":[],"label_agreement":null},{"id":"W3118843742","doi":"10.31436/iiumej.v22i1.1403","title":"ADAPTIVE DEVELOPMENT OF SVSF FOR A FEATURE-BASED SLAM ALGORITHM USING MAXIMUM LIKELIHOOD ESTIMATION AND EXPECTATION MAXIMIZATION","year":2021,"lang":"en","type":"article","venue":"IIUM Engineering Journal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Toronto Metropolitan University","funders":"Universitas Mercu Buana; National Natural Science Foundation of China","keywords":"Mathematics; Estimator; Applied mathematics; Statistic; Algorithm; Statistics","score_opus":0.013574207141738435,"score_gpt":0.2076868372221223,"score_spread":0.19411263008038387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118843742","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050423844,0.00007358263,0.99416524,0.000035911828,0.000027845363,0.000012280391,0.000011555101,0.0002728566,0.00035824432],"genre_scores_gemma":[0.2564418,0.00016993591,0.7406118,0.00006631839,0.000055356897,0.00010711338,0.00019680828,0.0000931053,0.002257797],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953234,0.000088090535,0.000033039247,0.000104271254,0.00020108282,0.00004112789],"domain_scores_gemma":[0.99943167,0.00017582723,0.000047222722,0.00005818579,0.00026354275,0.000023528026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090944796,0.00055134395,0.000640184,0.0006554264,0.000334125,0.0005571433,0.0007366998,0.0008527381,0.0016265924],"category_scores_gemma":[0.0019917218,0.00034183118,0.0007639916,0.00060548156,0.00038563414,0.00073546456,0.00062080263,0.0009418614,0.00051340985],"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":[0.00016050489,0.00007389329,0.0021780515,0.00013205013,0.00009588208,0.00012805185,0.0001755219,0.3871295,0.025405763,0.008696086,0.0030019856,0.5728227],"study_design_scores_gemma":[0.000008937166,0.000027140108,0.0003467382,0.000007044332,0.0000064263304,0.000039648017,0.000007675644,0.9947855,0.002588943,0.00092313637,0.0012498084,0.0000089979885],"about_ca_topic_score_codex":0.004191745,"about_ca_topic_score_gemma":0.002865413,"teacher_disagreement_score":0.004191745,"about_ca_system_score_codex":0.0003841765,"about_ca_system_score_gemma":0.0010956462,"threshold_uncertainty_score":0.008334696},"labels":[],"label_agreement":null},{"id":"W3120282119","doi":"10.18280/ts.370613","title":"Feature Extraction and Image Retrieval of Landscape Images Based on Image Processing","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Southeast University; National Natural Science Foundation of China","keywords":"Color quantization; Computer science; Artificial intelligence; Image retrieval; Computer vision; Color image; Feature extraction; Feature (linguistics); Matching (statistics); Pattern recognition (psychology); Image processing; Image (mathematics); Mathematics","score_opus":0.012448273355313892,"score_gpt":0.22000244891165943,"score_spread":0.20755417555634553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120282119","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027308067,0.00049363245,0.96912855,0.00009019393,0.000048980848,0.00009446034,0.000119631666,0.0011462745,0.0015701475],"genre_scores_gemma":[0.17344087,0.00087500096,0.8225698,0.00009117458,0.00009025204,0.0001267306,0.0005091162,0.00015297627,0.0021440585],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996501,0.00003662764,0.000024151603,0.00009798457,0.00014961224,0.00004148121],"domain_scores_gemma":[0.9997676,0.00004459028,0.000028038246,0.00004504951,0.000101678386,0.000013051859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027146607,0.00061191426,0.0007169696,0.0025927643,0.00032258563,0.00081405713,0.0006016458,0.00046930718,0.001543007],"category_scores_gemma":[0.00082485465,0.00025352737,0.0008153334,0.0022125442,0.0003343608,0.001436088,0.00043815246,0.0004532073,0.0010185583],"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":[0.00012587322,0.000080392325,0.0010245789,0.00022950945,0.000047396832,0.00019779195,0.000092548195,0.0073701083,0.34317717,0.0028464447,0.0021581494,0.64265],"study_design_scores_gemma":[0.000062575666,0.00042975915,0.019041073,0.000043432374,0.00022425734,0.0018933321,0.0002646185,0.6473042,0.302691,0.0073369835,0.020589674,0.00011916637],"about_ca_topic_score_codex":0.001567811,"about_ca_topic_score_gemma":0.0016818221,"teacher_disagreement_score":0.0025927643,"about_ca_system_score_codex":0.00029566663,"about_ca_system_score_gemma":0.000333308,"threshold_uncertainty_score":0.0051618814},"labels":[],"label_agreement":null},{"id":"W3127125769","doi":"10.1007/s10546-020-00600-2","title":"Correction to: Spatial Dependence of Stably Stratified Nocturnal Boundary-Layer Regimes in Complex Terrain","year":2021,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Terrain; Boundary layer; Boundary (topology); Layer (electronics); Computer science; Geology; Cartography; Mathematics; Geography; Physics; Mathematical analysis; Materials science; Mechanics","score_opus":0.029317138067132542,"score_gpt":0.2621406790834697,"score_spread":0.23282354101633718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127125769","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000684291,0.00047648678,0.0011177468,0.008569543,0.9789723,0.000059971793,0.0071480176,0.0010370235,0.00193458],"genre_scores_gemma":[0.09007664,0.004414478,0.018091159,0.025696643,0.40418363,0.0010856907,0.04763119,0.0088859815,0.39993453],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966511,0.000356324,0.0006610875,0.00063943584,0.0011386492,0.0005534067],"domain_scores_gemma":[0.954959,0.005644885,0.0019435609,0.0051903874,0.02963677,0.0026253432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002843698,0.002887948,0.0037683323,0.0076059843,0.0027831488,0.0047142617,0.005242294,0.0054686493,0.21995614],"category_scores_gemma":[0.040626004,0.0017524593,0.0028901622,0.005906095,0.0014395015,0.0029466404,0.0032351066,0.004857178,0.06073478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094746116,0.000010051607,0.00039365405,0.0002552226,0.000031995525,0.00013830725,0.000026903448,0.00014585229,0.000112158545,0.00042971052,0.99185866,0.0065028165],"study_design_scores_gemma":[0.00040935478,0.000057700283,0.017671583,0.00042095335,0.000099995574,0.00073469564,0.00025987733,0.0021658738,0.00083954737,0.002446679,0.97475034,0.00014350805],"about_ca_topic_score_codex":0.01995376,"about_ca_topic_score_gemma":0.032427,"teacher_disagreement_score":0.21995614,"about_ca_system_score_codex":0.0029140234,"about_ca_system_score_gemma":0.0043834103,"threshold_uncertainty_score":0.7358266},"labels":[],"label_agreement":null},{"id":"W3135519552","doi":"","title":"An Automated Synoptic typing Procedure to Predict Freezing Rain: An Application to Ottawa, Ontario","year":2004,"lang":"en","type":"article","venue":"26th Agricultural and Forest Meteorology/13th Air Pollution/5th Urban Environment/16th Biometeorology and Aerobiology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Meteorology; Environmental science; Climatology; Geography; Geology","score_opus":0.006018127351901982,"score_gpt":0.19418332704953434,"score_spread":0.18816519969763235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135519552","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":[0.86154664,0.0003682735,0.07922185,0.00030258243,0.00011037437,0.0010264835,0.028363617,0.0061222566,0.02293792],"genre_scores_gemma":[0.83901566,0.00030116813,0.12717961,0.000049574624,0.000024111943,0.00037386912,0.013250305,0.00034018196,0.019465456],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972874,0.000024988209,0.000027283764,0.00006650228,0.00009944662,0.00005303688],"domain_scores_gemma":[0.9987281,0.0001357151,0.000087265085,0.00009331086,0.0008618165,0.00009379577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004600315,0.00039069695,0.00031055513,0.0014748472,0.001809651,0.0008584437,0.0006464072,0.00023498341,0.005167378],"category_scores_gemma":[0.0013867359,0.00032536357,0.0002616539,0.0024070481,0.00026695163,0.00034940912,0.00049212604,0.00018320755,0.0009683832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079575845,0.000170115,0.45880696,0.00024639955,0.00014435327,0.0003808719,0.002355215,0.059475426,0.027046707,0.0014997178,0.033191245,0.41588715],"study_design_scores_gemma":[0.00019934414,0.000111296155,0.5964605,0.00005998597,0.00015262251,0.0001505577,0.0027875511,0.35625452,0.009835598,0.00083029177,0.033015657,0.00014204305],"about_ca_topic_score_codex":0.9558922,"about_ca_topic_score_gemma":0.9836519,"teacher_disagreement_score":0.044107795,"about_ca_system_score_codex":0.005147896,"about_ca_system_score_gemma":0.010049531,"threshold_uncertainty_score":0.088735044},"labels":[],"label_agreement":null},{"id":"W3135742179","doi":"","title":"Multi-scale remote sensing of volcanic degassing","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Scale (ratio); Volcano; Remote sensing; Volcanic Gases; Geology; Computer science; Seismology; Cartography; Geography","score_opus":0.0186617448701654,"score_gpt":0.2248582939905203,"score_spread":0.2061965491203549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135742179","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":[0.9911067,0.00037499797,0.0017180745,0.00013504227,0.000044792203,0.000015650849,0.0029030095,0.00018675812,0.0035150428],"genre_scores_gemma":[0.99476504,0.00009515678,0.002850858,0.000036426616,0.000031607877,0.000009944323,0.0017025677,0.000014205028,0.00049415603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998981,0.000010941018,0.0000052562905,0.00003675298,0.000027818056,0.000021220683],"domain_scores_gemma":[0.9998479,0.00002398957,0.00002637298,0.0000237745,0.000051667215,0.000026340958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025567054,0.0002356972,0.0002546165,0.00092857773,0.00022233493,0.00039320713,0.00028730952,0.00034507466,0.00085568335],"category_scores_gemma":[0.00026646414,0.0001798067,0.00023143471,0.00087873207,0.00009975599,0.00035715004,0.00030308924,0.000215729,0.0003033295],"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":[0.0005966728,0.0007874526,0.52038544,0.00024418283,0.00042077454,0.00025840334,0.0003954059,0.044807326,0.23931746,0.0007002901,0.008807549,0.18327898],"study_design_scores_gemma":[0.000026722195,0.000028139684,0.9502011,0.000011646208,0.00004224992,0.00004956688,0.000090008354,0.0441798,0.002825633,0.00013187931,0.0023966215,0.000016587459],"about_ca_topic_score_codex":0.017046276,"about_ca_topic_score_gemma":0.050950907,"teacher_disagreement_score":0.017046276,"about_ca_system_score_codex":0.0002948517,"about_ca_system_score_gemma":0.00028402658,"threshold_uncertainty_score":0.03389412},"labels":[],"label_agreement":null},{"id":"W3143050367","doi":"","title":"Study on the Relationship between Hyperspectral Polarized Information of Soil Salinization and Soil Line","year":2015,"lang":"en","type":"article","venue":"Guangpuxue yu guangpu fenxi","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Soil salinity; Soil science; Zenith; Environmental science; Remote sensing; Soil water; Geology","score_opus":0.08400463664784058,"score_gpt":0.26487557528484446,"score_spread":0.18087093863700388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143050367","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":[0.9329971,0.0007444408,0.060558293,0.0002065722,0.00003183694,0.000023504299,0.00046623294,0.00022655042,0.004745496],"genre_scores_gemma":[0.99480313,0.0004104936,0.0038400448,0.000040172785,0.000017009856,0.0000070593806,0.00026179236,0.000014973726,0.00060534937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997199,0.00003530272,0.000012216781,0.00008540257,0.00011218304,0.00003494695],"domain_scores_gemma":[0.9995235,0.00015614707,0.000104646,0.000029698176,0.00016779461,0.000018219762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038116504,0.00033693193,0.00020296547,0.00080044236,0.00014519316,0.0004505264,0.00013781118,0.0003031797,0.0007010651],"category_scores_gemma":[0.0008687025,0.00013998308,0.00022528463,0.0010856657,0.00023793818,0.00087476434,0.00020976407,0.000330839,0.00017680212],"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":[0.00043207384,0.00023651976,0.43042412,0.0004628461,0.00044013758,0.0008501396,0.00092478195,0.028697914,0.27722463,0.003208089,0.002308856,0.25478986],"study_design_scores_gemma":[0.000016330921,0.00018663514,0.73619956,0.00004408134,0.00027561875,0.001007774,0.00086110045,0.18757784,0.06699274,0.0026276072,0.004074283,0.00013649416],"about_ca_topic_score_codex":0.0014849211,"about_ca_topic_score_gemma":0.001609115,"teacher_disagreement_score":0.0014849211,"about_ca_system_score_codex":0.00018123032,"about_ca_system_score_gemma":0.00020102832,"threshold_uncertainty_score":0.0029525757},"labels":[],"label_agreement":null},{"id":"W3145271333","doi":"","title":"The distribution of cities in China and its influencing factors","year":2015,"lang":"en","type":"article","venue":"Geographical Research","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"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":"China; Geography; Distribution (mathematics); Decentralization; Center of gravity; Population; Center (category theory); Physical geography; Economic geography; Economy; Demography; Archaeology; Political science","score_opus":0.06473394614070854,"score_gpt":0.3081237356435246,"score_spread":0.24338978950281603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145271333","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":[0.99362224,0.00034906386,0.00025126475,0.00019617435,0.000009883329,0.000014954312,0.00060667633,0.000015466389,0.0049343845],"genre_scores_gemma":[0.9991109,0.00017833679,0.00007829137,0.000008603754,0.000010143465,0.00000536523,0.00025504257,0.0000029829384,0.0003503027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994405,0.00009330629,0.00005798102,0.0001073311,0.00016935838,0.00013150682],"domain_scores_gemma":[0.9989231,0.00017411842,0.00032818396,0.0000592759,0.0002655024,0.0002496913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004258854,0.00020966827,0.00021694807,0.0023029286,0.0009033323,0.0012558834,0.0002872958,0.00015757489,0.0019574044],"category_scores_gemma":[0.0014563986,0.00016427941,0.00030152453,0.005244578,0.0007836068,0.0006303681,0.0007722515,0.00028732952,0.00017673368],"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":[0.000012844209,0.000008467778,0.9932515,0.000018787947,0.000026969657,0.000090510075,0.0004671715,0.00041844248,0.00019755158,0.00048109595,0.00019933771,0.004827135],"study_design_scores_gemma":[6.72886e-7,0.000005891428,0.9983621,0.0000036346885,0.000005480574,0.000032532935,0.0006434632,0.00022683824,0.000028354063,0.00006479054,0.000622855,0.0000033176154],"about_ca_topic_score_codex":0.06946984,"about_ca_topic_score_gemma":0.101239815,"teacher_disagreement_score":0.06946984,"about_ca_system_score_codex":0.002026112,"about_ca_system_score_gemma":0.0014120748,"threshold_uncertainty_score":0.13813096},"labels":[],"label_agreement":null},{"id":"W3146244583","doi":"","title":"Solution of Multiple-Point Statistics to Extracting Information from Remotely Sensed Imagery","year":2008,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"York University","funders":"","keywords":"Pattern recognition (psychology); Artificial intelligence; Classifier (UML); Computer science; Point (geometry); Remote sensing; Contextual image classification; Identification (biology); Spatial analysis; Feature extraction; Basis (linear algebra); Computer vision; Image (mathematics); Data mining; Mathematics; Geography","score_opus":0.023122026813503383,"score_gpt":0.2087157313637755,"score_spread":0.1855937045502721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146244583","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030241173,0.00008553941,0.996567,0.000046344616,0.000014589059,0.000019039393,0.000012093048,0.00010248297,0.00012871467],"genre_scores_gemma":[0.105044454,0.0004682869,0.89295626,0.000045941248,0.00014014811,0.00019747452,0.00019432529,0.00007011333,0.0008828273],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893314,0.00027487444,0.00006941786,0.00016566578,0.0005104175,0.000046462937],"domain_scores_gemma":[0.99820375,0.001088355,0.00018070235,0.00010579934,0.00038818075,0.000033106688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019101787,0.0009902876,0.0010999381,0.0015114177,0.0004688652,0.00096995104,0.0009937458,0.0008859834,0.00065412343],"category_scores_gemma":[0.005082568,0.000588941,0.001006171,0.0021589077,0.00080886635,0.0011183715,0.000872134,0.001184175,0.0004634685],"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":[0.00010738562,0.00012807127,0.0026888195,0.0004953395,0.00018887426,0.00027615688,0.0003124979,0.30617023,0.018547866,0.036188114,0.002966351,0.6319303],"study_design_scores_gemma":[0.000009223923,0.000027134365,0.000529416,0.000010453471,0.000013647034,0.000065028304,0.00002818381,0.9849284,0.0029108177,0.010317,0.0011438297,0.000016763232],"about_ca_topic_score_codex":0.0025424506,"about_ca_topic_score_gemma":0.0031710619,"teacher_disagreement_score":0.0025424506,"about_ca_system_score_codex":0.0005540958,"about_ca_system_score_gemma":0.001710217,"threshold_uncertainty_score":0.010102093},"labels":[],"label_agreement":null},{"id":"W3150188978","doi":"","title":"Monitoring Forest Fire with MODIS-NDVI Images in Beijing","year":2006,"lang":"en","type":"article","venue":"中国林业科技(英文版)","topic":"Remote Sensing and Land Use","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":"Normalized Difference Vegetation Index; Environmental science; Beijing; Remote sensing; Meteorology; Moisture; Geography; Geology; China; Climate change","score_opus":0.00673728150171315,"score_gpt":0.1793674073610103,"score_spread":0.17263012585929716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150188978","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":[0.99770147,0.000075741234,0.00059195876,0.000028656375,0.0000025225393,0.000014534524,0.00042106985,0.000045463185,0.0011186663],"genre_scores_gemma":[0.99695337,0.00006610903,0.0016202392,0.0000068017134,0.000003167697,0.000014747262,0.0008123725,0.0000052092832,0.00051788625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985695,0.000023076342,0.000012856419,0.000036418933,0.000049202303,0.000021424064],"domain_scores_gemma":[0.9997943,0.000023473258,0.0000545056,0.000023326733,0.000062401654,0.000041934138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026851433,0.00025865666,0.00028292064,0.00066655106,0.00028930674,0.00030211787,0.0003378227,0.00018548607,0.00049030606],"category_scores_gemma":[0.0005743549,0.00017867684,0.00009911832,0.0009195966,0.00011929491,0.00042241684,0.0002464078,0.00011426481,0.00014009031],"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":[0.0005863219,0.00027489293,0.79351044,0.00017877904,0.00019593023,0.0006919895,0.00050217006,0.017293438,0.0419697,0.00026844337,0.002354606,0.14217329],"study_design_scores_gemma":[0.000023469811,0.00004311517,0.96371067,0.0000049025944,0.00004078047,0.0000741023,0.0001465827,0.030439757,0.0046847947,0.00007435729,0.0007451769,0.000012312081],"about_ca_topic_score_codex":0.048963103,"about_ca_topic_score_gemma":0.10305301,"teacher_disagreement_score":0.048963103,"about_ca_system_score_codex":0.0013311177,"about_ca_system_score_gemma":0.00035147998,"threshold_uncertainty_score":0.0973562},"labels":[],"label_agreement":null},{"id":"W3165216581","doi":"","title":"Potential of RADARSAT-2 Data for Paddy Rice Detection in a Watershed in Northern Vietnam.","year":2011,"lang":"en","type":"article","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Canadian Space Agency","keywords":"Watershed; Environmental science; Remote sensing; Hydrology (agriculture); Geography; Geology; Computer science","score_opus":0.07034189175946545,"score_gpt":0.2865868462730012,"score_spread":0.21624495451353573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165216581","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":[0.9954165,0.00018301523,0.0007376042,0.00032955283,0.000010812816,0.000025813559,0.001254198,0.000044170825,0.001998412],"genre_scores_gemma":[0.9968496,0.00010159619,0.0014375981,0.000033978966,0.0000055709074,0.0000131903935,0.00092576223,0.000005010798,0.0006276758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984217,0.0000453159,0.000007500302,0.000036556852,0.000030187673,0.000038220893],"domain_scores_gemma":[0.99951625,0.00016607215,0.00004016555,0.000030523952,0.00017285775,0.000074078154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042541188,0.00024823978,0.00017827401,0.00054265105,0.0003248193,0.0005343836,0.00035962573,0.00030835014,0.0007317833],"category_scores_gemma":[0.0008336476,0.00016212695,0.00011311179,0.0005538347,0.00019469782,0.00043521798,0.00025793337,0.00021316909,0.00020671674],"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":[0.00046528142,0.0004249473,0.82190573,0.0002845661,0.00017217672,0.0017806258,0.001821085,0.021318603,0.040414535,0.00076020905,0.0031143343,0.10753783],"study_design_scores_gemma":[0.00009259316,0.00015696837,0.8641018,0.00009107794,0.00014419237,0.0004371752,0.0049527385,0.11315311,0.009733255,0.0005823685,0.0065051788,0.000049464794],"about_ca_topic_score_codex":0.13189223,"about_ca_topic_score_gemma":0.17566307,"teacher_disagreement_score":0.13189223,"about_ca_system_score_codex":0.00084246974,"about_ca_system_score_gemma":0.0011456738,"threshold_uncertainty_score":0.26224905},"labels":[],"label_agreement":null},{"id":"W3177821591","doi":"10.5194/epsc2020-877","title":"Using band ratioed CaSSIS imagery and analysis of fracture morphology to characterise Oxia Planum&amp;#8217;s clay-bearing unit","year":2020,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","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":"Geology; Impact crater; Chemistry; Biology; Astrobiology","score_opus":0.06566774706997422,"score_gpt":0.26708036733947765,"score_spread":0.20141262026950343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177821591","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":[0.9757959,0.0003696016,0.010030257,0.00010317628,0.000018750881,0.00008523575,0.0031717934,0.00047688585,0.009948428],"genre_scores_gemma":[0.95989525,0.00025850025,0.03437333,0.000040004536,0.000017685967,0.000042093616,0.002798252,0.000058578746,0.0025163298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988353,0.0000062122162,0.0000043334276,0.000035623794,0.00005397357,0.000016388112],"domain_scores_gemma":[0.9998149,0.000027241627,0.00003702198,0.000016942915,0.000081495025,0.000022308543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015837836,0.00032067898,0.00011722366,0.0019991715,0.00021162834,0.0007694931,0.00026971847,0.00026973055,0.0017092461],"category_scores_gemma":[0.00026436636,0.00015401097,0.00014497223,0.0007592671,0.00024164231,0.0001816743,0.00024026459,0.00017647991,0.0005288122],"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":[0.0004433206,0.00016298637,0.41791004,0.00047508656,0.00012428984,0.0012286835,0.0008680765,0.013321171,0.24436365,0.00073705334,0.0074457647,0.31291986],"study_design_scores_gemma":[0.000021784983,0.00014215514,0.910807,0.00009325101,0.00005799984,0.0008516994,0.00084111677,0.051390853,0.029501336,0.00025135907,0.006001756,0.000039612936],"about_ca_topic_score_codex":0.018633574,"about_ca_topic_score_gemma":0.046266504,"teacher_disagreement_score":0.018633574,"about_ca_system_score_codex":0.0003932744,"about_ca_system_score_gemma":0.00034192475,"threshold_uncertainty_score":0.037050247},"labels":[],"label_agreement":null},{"id":"W3182145558","doi":"10.21203/rs.3.rs-665538/v1","title":"A Hierarchical Analysis On Ecosystem Classification of Land","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University; Utah State University","keywords":"Ecosystem; Geography; Environmental resource management; Ecology; Environmental science; Biology","score_opus":0.07625433952702713,"score_gpt":0.34684145381951487,"score_spread":0.2705871142924877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182145558","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":[0.77907264,0.0007561143,0.19321007,0.0010919471,0.00008072267,0.00041764288,0.0054247333,0.00059742475,0.019348677],"genre_scores_gemma":[0.9635385,0.00006364385,0.033479262,0.000037992104,0.000027222151,0.000091166046,0.00182702,0.000031613745,0.00090352143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768925,0.00091697316,0.00016311735,0.00036467004,0.0005564448,0.00030953644],"domain_scores_gemma":[0.9935893,0.0030398068,0.00062781555,0.00053341547,0.0018447826,0.00036499902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024445795,0.00031907216,0.00023895738,0.005356252,0.0010217689,0.0017822719,0.00046052164,0.00027538938,0.004489578],"category_scores_gemma":[0.0068058777,0.00012853842,0.0007447053,0.0044014165,0.00067841413,0.0011735494,0.0008815873,0.00055909,0.0004441208],"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":[0.0003333726,0.00018446699,0.65351385,0.0003246741,0.0003290459,0.00033684607,0.0020594143,0.018126883,0.003596186,0.03616629,0.01142531,0.27360377],"study_design_scores_gemma":[0.00003244702,0.00015681132,0.64467543,0.00014447226,0.00023423586,0.00021339461,0.0025611992,0.3009706,0.002256035,0.035610605,0.013084606,0.000060068003],"about_ca_topic_score_codex":0.023357939,"about_ca_topic_score_gemma":0.021637334,"teacher_disagreement_score":0.023357939,"about_ca_system_score_codex":0.0030011327,"about_ca_system_score_gemma":0.0017189059,"threshold_uncertainty_score":0.04644394},"labels":[],"label_agreement":null},{"id":"W3183018177","doi":"10.25236/ajets.2021.040310","title":"Optimizing systems and Reducing hunger","year":2021,"lang":"en","type":"article","venue":"Academic Journal of Engineering and Technology Science","topic":"Remote Sensing and Land Use","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":"China; Agriculture; Analytic hierarchy process; Hierarchy; Artificial neural network; Computer science; Food systems; Process (computing); Stability (learning theory); Operations research; Environmental economics; Business; Economics; Engineering; Food security; Artificial intelligence; Geography; Machine learning","score_opus":0.008493036288844404,"score_gpt":0.20548000678880898,"score_spread":0.19698697049996458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183018177","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":[0.22469509,0.0019648056,0.7517694,0.0018260435,0.00009540812,0.000110983245,0.00012454014,0.0003925792,0.019021118],"genre_scores_gemma":[0.95123345,0.00074285833,0.04449268,0.0001221579,0.000037011807,0.00009809589,0.00007352271,0.000054400818,0.0031459057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918646,0.0004389863,0.000029698213,0.00011499685,0.00010645111,0.00012342233],"domain_scores_gemma":[0.99928194,0.00040595306,0.000111373156,0.00006348963,0.00010600113,0.000031200165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013782898,0.0008027649,0.0006196021,0.00044068944,0.0003389006,0.001127719,0.0003956732,0.00064731954,0.0021811374],"category_scores_gemma":[0.0033674382,0.00024373567,0.00034422384,0.0005307748,0.0009179771,0.0012415715,0.0010165675,0.0005325135,0.00018842195],"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":[0.00005238721,0.000044283905,0.002191,0.000116927964,0.00008509303,0.00006610224,0.00014064915,0.8919631,0.0015748985,0.06203232,0.0010756399,0.040657524],"study_design_scores_gemma":[0.000028615059,0.000119407945,0.0011795835,0.000029707939,0.000032615033,0.000022984885,0.000135516,0.90709466,0.0008442014,0.08731015,0.0031904737,0.000012141153],"about_ca_topic_score_codex":0.0038813907,"about_ca_topic_score_gemma":0.002556896,"teacher_disagreement_score":0.0038813907,"about_ca_system_score_codex":0.001038213,"about_ca_system_score_gemma":0.0010617241,"threshold_uncertainty_score":0.0077176094},"labels":[],"label_agreement":null},{"id":"W3183470465","doi":"10.14796/jwmm.c475","title":"Urban Tree Rainfall Interception Measurement and Modeling in WinSLAMM, the Source Loading and Management Model","year":2021,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interception; Environmental science; Tree (set theory); Hydrology (agriculture); Geology; Mathematics; Geotechnical engineering; Ecology","score_opus":0.048369204398428726,"score_gpt":0.20972435257566968,"score_spread":0.16135514817724095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183470465","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":[0.742865,0.00022392799,0.23470697,0.00026413237,0.000028539953,0.0001600013,0.0023611225,0.0012892816,0.018100986],"genre_scores_gemma":[0.94438845,0.00019239502,0.04614164,0.000029841312,0.00000899871,0.00014707091,0.0014263258,0.0001111195,0.007554274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999032,0.000022732242,0.0000068214354,0.000023951621,0.000024916722,0.000018441744],"domain_scores_gemma":[0.99986243,0.000047990936,0.000022310665,0.000014290758,0.000042258092,0.000010638642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031557799,0.00028273676,0.00021467618,0.00030892363,0.0002619722,0.0005413293,0.00059739425,0.00030943652,0.0015521743],"category_scores_gemma":[0.000459147,0.0002347483,0.0003080225,0.00049092126,0.00017488735,0.0005155892,0.00036480668,0.00026544608,0.00026268626],"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":[0.000021885246,0.000031140884,0.004981973,0.000014424983,0.000010276912,0.00003499441,0.000030123654,0.9825065,0.0009172182,0.0024251596,0.00048223624,0.008544103],"study_design_scores_gemma":[0.0000023579425,0.0000056738177,0.0008724177,0.0000014283108,0.0000023686935,0.000004864584,0.000009009038,0.9980666,0.000274375,0.00027078638,0.0004871901,0.0000029626772],"about_ca_topic_score_codex":0.04478297,"about_ca_topic_score_gemma":0.048844207,"teacher_disagreement_score":0.04478297,"about_ca_system_score_codex":0.0008741915,"about_ca_system_score_gemma":0.0008351702,"threshold_uncertainty_score":0.08904463},"labels":[],"label_agreement":null},{"id":"W3186788152","doi":"10.18280/ts.380322","title":"Automatic Extraction of Color Features from Landscape Images Based on Image Processing","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Color image; Color quantization; Color space; Color balance; False color; Color histogram; Image processing; Support vector machine; Pattern recognition (psychology); Color correction; Image (mathematics)","score_opus":0.009783556445075085,"score_gpt":0.22399668201791786,"score_spread":0.21421312557284278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186788152","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":[0.059572745,0.0002937761,0.93680584,0.000058396807,0.000032717675,0.000099188255,0.00013914146,0.0013946116,0.0016036143],"genre_scores_gemma":[0.3279314,0.0005601941,0.6693967,0.000053049007,0.000049627433,0.00011075622,0.00044444678,0.00015590542,0.0012978379],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997836,0.000024213732,0.000010020987,0.000062674306,0.00009026047,0.000029334182],"domain_scores_gemma":[0.9997372,0.000058224898,0.00003571951,0.000030230338,0.00012576085,0.000012837434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002437545,0.0006241814,0.0005031672,0.0022696112,0.00023339986,0.000643827,0.00044750844,0.00033356453,0.00080653495],"category_scores_gemma":[0.00061765435,0.00024449258,0.0006081104,0.0012044274,0.00027718293,0.000808379,0.0003013949,0.00046494618,0.0005074329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107127606,0.000066065586,0.0019821634,0.00023143404,0.00003808277,0.00016063688,0.00009108934,0.005545292,0.40407127,0.001045623,0.0012797632,0.5853814],"study_design_scores_gemma":[0.000034904486,0.00025911466,0.04053647,0.000048431615,0.0001536858,0.0011747977,0.0002466518,0.623067,0.32208517,0.003388771,0.008906821,0.00009808063],"about_ca_topic_score_codex":0.0011340647,"about_ca_topic_score_gemma":0.0016305387,"teacher_disagreement_score":0.0022696112,"about_ca_system_score_codex":0.00018312459,"about_ca_system_score_gemma":0.0003001796,"threshold_uncertainty_score":0.0026981235},"labels":[],"label_agreement":null},{"id":"W3201311467","doi":"10.32920/ryerson.14664636.v1","title":"Urban sprawl into the Niagara Region: the effect of urban encroachment on agriculture seen through the use of remote sensing applications and landscape metrics","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Urban sprawl; Geography; Agriculture; Fragmentation (computing); Land use; Agricultural land; Environmental resource management; Urban landscape; Satellite imagery; Remote sensing; Environmental planning; Cartography; Computer science; Environmental science; Civil engineering; Engineering; Archaeology","score_opus":0.024722764763542404,"score_gpt":0.22805685971814837,"score_spread":0.20333409495460597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201311467","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":[0.99477875,0.00020530344,0.00019825499,0.00014987926,0.0000046726195,0.000008343989,0.00016038254,0.000020699112,0.004473828],"genre_scores_gemma":[0.99809366,0.0002817641,0.0005176315,0.000013365018,0.0000048348834,0.0000071856352,0.00011549612,0.000006890458,0.00095916307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969256,0.000092515525,0.000017808317,0.00006457411,0.00008684591,0.000045735393],"domain_scores_gemma":[0.9985952,0.0005159822,0.00031333143,0.000115109804,0.00035124642,0.00010909795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002457879,0.0002090094,0.00015650559,0.0006029383,0.00068000815,0.0016441451,0.00018688606,0.00018554267,0.0013659565],"category_scores_gemma":[0.0016325278,0.00010197358,0.00015522446,0.0015414628,0.0006509012,0.0008342973,0.0008299391,0.00032760148,0.00024419322],"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":[0.0002292249,0.00007221526,0.93897873,0.00011873877,0.000054988584,0.0008636366,0.005511867,0.0019988576,0.0050173057,0.0006579941,0.0011348642,0.045361515],"study_design_scores_gemma":[0.0000021773494,0.00004753857,0.98763067,0.00002315131,0.000017107895,0.00025788377,0.006778014,0.001312686,0.00095433247,0.00009879536,0.0028689585,0.000008644489],"about_ca_topic_score_codex":0.08333657,"about_ca_topic_score_gemma":0.21390878,"teacher_disagreement_score":0.9166634,"about_ca_system_score_codex":0.0011696351,"about_ca_system_score_gemma":0.0005672757,"threshold_uncertainty_score":0.165703},"labels":[],"label_agreement":null},{"id":"W3202688923","doi":"","title":"Detection of understory indicator plants using Compact Airborne Spectrographic Imager ( casi ) imagery in Kananaskis Country, Alberta.","year":2000,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Understory; Geography; Forestry; Environmental science; Remote sensing; Cartography; Physical geography; Archaeology","score_opus":0.0036324049313060246,"score_gpt":0.14882623918169507,"score_spread":0.14519383425038904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202688923","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":[0.9853867,0.0006342382,0.00057905156,0.00013576681,0.000014982015,0.0000529325,0.0040273364,0.000080280384,0.009088634],"genre_scores_gemma":[0.9872077,0.00046139452,0.0021693024,0.00004811742,0.0000041028843,0.000014558034,0.002845344,0.000018647446,0.0072307424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987066,0.0000058645555,0.000004370746,0.000029686624,0.000050703547,0.00003871297],"domain_scores_gemma":[0.99971515,0.000016810927,0.000023209855,0.000008402958,0.00019399138,0.000042323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017579788,0.00026235788,0.00026885504,0.001432555,0.0011229599,0.0009116812,0.0007768517,0.00025263435,0.0015551953],"category_scores_gemma":[0.00028129586,0.00018876955,0.00012433568,0.0019010152,0.00044261658,0.00018461725,0.00028814096,0.00025341523,0.00047160574],"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":[0.00088209216,0.00020353633,0.82337356,0.00037174177,0.00010781852,0.0010782947,0.003010586,0.002397774,0.046477918,0.00063291093,0.010515441,0.11094839],"study_design_scores_gemma":[0.000007455898,0.000010217192,0.9962773,0.000014389874,0.000015167459,0.000041439536,0.0012691537,0.00066867616,0.0004942031,0.00002506957,0.001171007,0.00000589832],"about_ca_topic_score_codex":0.97651255,"about_ca_topic_score_gemma":0.9937769,"teacher_disagreement_score":0.023487449,"about_ca_system_score_codex":0.004712135,"about_ca_system_score_gemma":0.004234725,"threshold_uncertainty_score":0.047251463},"labels":[],"label_agreement":null},{"id":"W3203611529","doi":"10.14288/1.0402360","title":"Detailed land cover mapping in a seasonally dry tropical forest landscape using multiple sensor types","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"University of British Columbia","funders":"","keywords":"Land cover; Cover (algebra); Tropical and subtropical dry broadleaf forests; Tropical forest; Forest cover; Geography; Remote sensing; Environmental science; Dry land; Tropics; Forestry; Land use; Ecology; Biology; Agronomy","score_opus":0.011876525502599987,"score_gpt":0.16331730860141874,"score_spread":0.15144078309881875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203611529","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":[0.98114866,0.00038421756,0.011593612,0.0001309182,0.000027920943,0.000052040563,0.0020861188,0.0001978326,0.004378618],"genre_scores_gemma":[0.97218996,0.00032334364,0.024655163,0.000059221187,0.000019283762,0.000035819307,0.0017747459,0.000017046383,0.0009255443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998398,0.000022612381,0.000008007772,0.000047461428,0.00004174021,0.000040453997],"domain_scores_gemma":[0.99986744,0.000022584407,0.00003643077,0.00002078582,0.00003938689,0.000013390724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029060297,0.00029850865,0.00017720836,0.0009334236,0.00018661753,0.00055218145,0.0002288012,0.00020267269,0.0008949434],"category_scores_gemma":[0.00034023062,0.00017962197,0.00027801137,0.0011530371,0.00012374653,0.0007464507,0.00042789138,0.00021758674,0.0002847022],"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":[0.00025794,0.00023091801,0.51599574,0.0003561263,0.00028190186,0.0007212218,0.0012339063,0.026243085,0.10039427,0.0012332604,0.0042055384,0.348846],"study_design_scores_gemma":[0.000018322557,0.00016691128,0.88198,0.00010771856,0.00010970702,0.0004691883,0.0020927452,0.09482883,0.011100445,0.001278403,0.007788234,0.00005950248],"about_ca_topic_score_codex":0.005509651,"about_ca_topic_score_gemma":0.01845361,"teacher_disagreement_score":0.005509651,"about_ca_system_score_codex":0.00021992905,"about_ca_system_score_gemma":0.00018533738,"threshold_uncertainty_score":0.010955155},"labels":[],"label_agreement":null},{"id":"W3212048212","doi":"10.26051/0d-gykk-30as","title":"Adding an underground layer to urban morphology -- case study of Beijing subway's implication on urban form","year":2021,"lang":"en","type":"article","venue":"","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":"University of Waterloo","funders":"","keywords":"Beijing; Urban morphology; Layer (electronics); Morphology (biology); Geography; Urban planning; China; Geology; Civil engineering; Engineering; Archaeology; Chemistry","score_opus":0.041198677108433224,"score_gpt":0.27733105688291365,"score_spread":0.23613237977448043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212048212","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":[0.9951284,0.000044014752,0.0007218911,0.00010011537,0.000006119647,0.000016583064,0.00017617237,0.0000207753,0.0037859704],"genre_scores_gemma":[0.9989188,0.000023339158,0.00052030536,0.000004539894,0.0000017734958,0.0000028099034,0.000060593833,0.000004252164,0.000463757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961984,0.0001260739,0.000020192167,0.000054618773,0.000083396306,0.00009583124],"domain_scores_gemma":[0.99917585,0.00026661612,0.00012057831,0.0001170396,0.00022356826,0.000096343865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004966408,0.0003473703,0.00026414945,0.000881245,0.00067395956,0.0017151567,0.0006077141,0.0005459722,0.0027089138],"category_scores_gemma":[0.0015599605,0.0001959241,0.00050991395,0.0020632304,0.0010789278,0.0010030622,0.0011323921,0.0003945403,0.0002275071],"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":[0.00043084248,0.0002597375,0.85380286,0.00017411595,0.00014825573,0.0035381764,0.0025470194,0.057470035,0.008837006,0.006885008,0.0011047631,0.06480223],"study_design_scores_gemma":[0.000013406725,0.00019023994,0.9111594,0.000046069297,0.00021100561,0.0003505461,0.009160581,0.06909999,0.0022504337,0.0020491828,0.0054219365,0.000047274556],"about_ca_topic_score_codex":0.07321217,"about_ca_topic_score_gemma":0.15470053,"teacher_disagreement_score":0.07321217,"about_ca_system_score_codex":0.0022960673,"about_ca_system_score_gemma":0.0006935638,"threshold_uncertainty_score":0.14557207},"labels":[],"label_agreement":null},{"id":"W336425302","doi":"","title":"Mapping China using MODIS data : Method, software and data products","year":2005,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","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":"University of Toronto","funders":"","keywords":"Remote sensing; Software; Suite; Cloud computing; Computer science; Key (lock); Data center; Data processing; Environmental science; Product (mathematics); Software suite; Process (computing); Database; Algorithm; Meteorology; Data mining; Geology; Geography; Mathematics","score_opus":0.08086531175553653,"score_gpt":0.30333313207472845,"score_spread":0.22246782031919193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W336425302","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5670783,0.00200049,0.19074598,0.0012595796,0.00024842174,0.0018555878,0.1919782,0.015558725,0.029274737],"genre_scores_gemma":[0.52357113,0.0016115615,0.35065204,0.00016838046,0.000059653117,0.0019116972,0.10960259,0.0016646774,0.010758255],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949956,0.00009149984,0.000092344206,0.000100780075,0.00017588395,0.00003991732],"domain_scores_gemma":[0.9987685,0.0001955361,0.00013322175,0.0003340757,0.00049436465,0.00007427342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002029671,0.0007531059,0.0004558705,0.003163016,0.0007029186,0.0013684958,0.0006743187,0.00028762882,0.00320479],"category_scores_gemma":[0.0022121114,0.0005855801,0.0005679692,0.0057525807,0.00029147952,0.0013548023,0.000601583,0.00039782358,0.0014573011],"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":[0.00045349635,0.00019430615,0.23811042,0.000693644,0.00038176827,0.00023202057,0.00097108143,0.025737297,0.016253745,0.005913402,0.057594404,0.65346444],"study_design_scores_gemma":[0.0002615282,0.00019360306,0.5491679,0.000317567,0.0007195055,0.0004453813,0.0018942485,0.18892805,0.078070536,0.00934263,0.1702889,0.00037021414],"about_ca_topic_score_codex":0.10440563,"about_ca_topic_score_gemma":0.07379009,"teacher_disagreement_score":0.10440563,"about_ca_system_score_codex":0.002165151,"about_ca_system_score_gemma":0.0034879425,"threshold_uncertainty_score":0.20759588},"labels":[],"label_agreement":null},{"id":"W383422621","doi":"","title":"Humidite de la troposphere libre africaine: Elaboration d'une archive METEOSAT, Analyse climatique et Evaluation de modeles","year":2004,"lang":"fr","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":4,"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":"Troposphere; Forestry; Humanities; Geography; Meteorology; Art","score_opus":0.012461512878353852,"score_gpt":0.2476535631871425,"score_spread":0.23519205030878865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W383422621","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":[0.6809472,0.009302913,0.24169764,0.0023665032,0.0005409107,0.00065838435,0.032982413,0.00556145,0.025942657],"genre_scores_gemma":[0.81205535,0.005305779,0.15394925,0.00012354077,0.00026157423,0.00065096293,0.017165473,0.0012952662,0.009192866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996369,0.000114522816,0.000025893698,0.000077504206,0.00012441071,0.000020859416],"domain_scores_gemma":[0.9988181,0.00058174063,0.00007960628,0.00015404451,0.00031159093,0.000054805605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019070893,0.0007355167,0.00072259083,0.0010108453,0.00045415506,0.0025044302,0.00064383715,0.0006184676,0.002668308],"category_scores_gemma":[0.0037905748,0.00050354435,0.00096507894,0.0012716037,0.00021821418,0.0016415439,0.00054756016,0.00092071004,0.00085491035],"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":[0.00046845988,0.0002809477,0.040113762,0.0008000722,0.0005139439,0.00020663672,0.0009197681,0.6799902,0.01777395,0.0060892007,0.011451503,0.24139152],"study_design_scores_gemma":[0.00026280538,0.00011859955,0.08095895,0.0002138886,0.00019125224,0.00008520129,0.00037268878,0.85768723,0.020152565,0.002755116,0.037098244,0.00010349973],"about_ca_topic_score_codex":0.055808198,"about_ca_topic_score_gemma":0.031221647,"teacher_disagreement_score":0.055808198,"about_ca_system_score_codex":0.0011728527,"about_ca_system_score_gemma":0.0013991338,"threshold_uncertainty_score":0.11096668},"labels":[],"label_agreement":null},{"id":"W4200200473","doi":"10.5194/ica-abs-3-105-2021","title":"Waterloo Building Dataset: A large-scale very-high-spatial-resolution image dataset for building rooftop extraction","year":2021,"lang":"en","type":"article","venue":"Abstracts of the ICA","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"University of Waterloo","funders":"","keywords":"Scale (ratio); Extraction (chemistry); Computer science; Remote sensing; Geography; Cartography","score_opus":0.013366902959621976,"score_gpt":0.2523278698896337,"score_spread":0.2389609669300117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200200473","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010284867,0.00050791644,0.004892725,0.00012407634,0.00006796047,0.00022785028,0.973411,0.006610157,0.0038733862],"genre_scores_gemma":[0.0079195965,0.00015880127,0.0061187944,0.000050230723,0.000015312304,0.00018083637,0.983712,0.00024588633,0.0015985945],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914336,0.000047497713,0.000044653174,0.00023307932,0.000330253,0.00020109738],"domain_scores_gemma":[0.9993938,0.000058602913,0.00004518681,0.00015057229,0.00026819206,0.000083655665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033246417,0.0026420197,0.0015736282,0.004143398,0.0011824955,0.0011603726,0.0033474092,0.0018224621,0.018373137],"category_scores_gemma":[0.001350839,0.0008918717,0.0018458869,0.0058659585,0.00066641835,0.0009608371,0.0018445494,0.0013600839,0.018636953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019913478,0.00028704846,0.0045996513,0.001076068,0.00021719567,0.0002903914,0.00013413235,0.0037356776,0.007128772,0.0008242022,0.9236533,0.057854414],"study_design_scores_gemma":[0.00076943677,0.00014221921,0.078537285,0.0004950788,0.00032609425,0.00068119745,0.00082952454,0.047518287,0.015884642,0.0026158455,0.85188806,0.00031241847],"about_ca_topic_score_codex":0.2997738,"about_ca_topic_score_gemma":0.5980974,"teacher_disagreement_score":0.7002262,"about_ca_system_score_codex":0.0020573176,"about_ca_system_score_gemma":0.003723599,"threshold_uncertainty_score":0.5960579},"labels":[],"label_agreement":null},{"id":"W4200542190","doi":"10.1155/2021/4310321","title":"Recognition of Ziziphus lotus through Aerial Imaging and Deep Transfer Learning Approach","year":2021,"lang":"en","type":"article","venue":"Mobile Information Systems","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Taif University","keywords":"Computer science; Transfer of learning; Artificial intelligence; Lotus; Convolutional neural network; Rhamnaceae; Ziziphus; Deep learning; Robinia; Machine learning; Pattern recognition (psychology); Ecology; Botany","score_opus":0.013179219937483052,"score_gpt":0.19535610597632622,"score_spread":0.18217688603884316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200542190","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":[0.9057849,0.0005131243,0.08799194,0.00021380781,0.00004118379,0.000045752502,0.00039248393,0.0012674395,0.0037494781],"genre_scores_gemma":[0.9723776,0.00010572395,0.025504677,0.000047372447,0.000009650325,0.000009104057,0.0003834712,0.000013816718,0.0015486436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999466,0.000005497261,0.0000020544194,0.000016258486,0.000018049614,0.000011679754],"domain_scores_gemma":[0.99994755,0.000011121413,0.0000088008155,0.0000065748573,0.0000204044,0.000005569891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008042191,0.0003854353,0.00013007523,0.0005913737,0.00008691711,0.0001660239,0.00020810701,0.00020752009,0.00079622486],"category_scores_gemma":[0.00014630999,0.0000919852,0.0001943771,0.00021361954,0.000120887795,0.0002862858,0.00017937654,0.00013922433,0.00022549287],"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":[0.0004275315,0.00018669108,0.012579345,0.00018342635,0.000097005286,0.00056842074,0.000116376585,0.1055648,0.47409078,0.0012503802,0.00385948,0.40107584],"study_design_scores_gemma":[0.000009075103,0.00009474474,0.01869418,0.0000067662304,0.000027534557,0.00019198301,0.00006328417,0.92085844,0.05860087,0.0005333411,0.00090339215,0.000016350848],"about_ca_topic_score_codex":0.004353587,"about_ca_topic_score_gemma":0.0068859295,"teacher_disagreement_score":0.004353587,"about_ca_system_score_codex":0.00021864446,"about_ca_system_score_gemma":0.00013614378,"threshold_uncertainty_score":0.008656502},"labels":[],"label_agreement":null},{"id":"W4205928147","doi":"10.5589/cjrsauthin34","title":"Author Index / Index des auteurs, Volume 34, 2008","year":2008,"lang":"fr","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Geography; Volume (thermodynamics); Cartography; Regional science; Computer science; Physics; World Wide Web","score_opus":0.033787688420881645,"score_gpt":0.21722800025366704,"score_spread":0.1834403118327854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205928147","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013318162,0.05921361,0.0034644783,0.008082004,0.08913659,0.00047873103,0.033423357,0.0025594353,0.80231],"genre_scores_gemma":[0.0031217164,0.03618673,0.0012541249,0.0010677389,0.008400897,0.00017518399,0.013022723,0.0006857297,0.9360851],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988803,0.000051310664,0.00013914947,0.0001871354,0.0006495726,0.0000924714],"domain_scores_gemma":[0.9942167,0.00032310514,0.00038376162,0.00025771736,0.0039371164,0.0008816494],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00070269854,0.0015904558,0.002182326,0.0073539494,0.00097555306,0.0060178745,0.0014466833,0.0010103423,0.4540536],"category_scores_gemma":[0.0039732414,0.00066403556,0.00068485306,0.007170636,0.00041082682,0.0031671529,0.0019394442,0.0012997964,0.5876851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027855573,0.000020661215,0.00029942262,0.0008734395,0.00000982648,0.000035463814,0.000017804048,0.000104966944,0.000440967,0.00061152416,0.87781334,0.119744845],"study_design_scores_gemma":[0.0000054652896,0.000014530778,0.00087915704,0.0003269483,0.0000122423635,0.00009088859,0.00001927431,0.000076957665,0.0002892025,0.00036345122,0.99791247,0.000009445678],"about_ca_topic_score_codex":0.0049635777,"about_ca_topic_score_gemma":0.0053073447,"teacher_disagreement_score":0.54594636,"about_ca_system_score_codex":0.0015876354,"about_ca_system_score_gemma":0.0022218863,"threshold_uncertainty_score":0.7787262},"labels":[],"label_agreement":null},{"id":"W4220678255","doi":"10.18280/ts.390115","title":"A Modified Extrema Pattern with Multilinear Matrix Decomposition Based RLC Scheme for Efficient Serial Remote Sensing Images Mining","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Maxima and minima; Pixel; Raster graphics; Pattern recognition (psychology); Artificial intelligence; Multilinear map; Computer vision; Algorithm; Mathematics","score_opus":0.01911745518078922,"score_gpt":0.2443288412922799,"score_spread":0.2252113861114907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220678255","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024288278,0.00025184307,0.97263587,0.00011861084,0.00005604174,0.00006778348,0.00010876,0.0007224979,0.0017503293],"genre_scores_gemma":[0.22276461,0.0002552399,0.7718101,0.00010117906,0.000058380516,0.00014323028,0.0005009921,0.000071257375,0.0042950585],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951744,0.000070621754,0.00003854357,0.00008687451,0.00024244265,0.00004415091],"domain_scores_gemma":[0.9995859,0.000087872904,0.000060607126,0.00009598072,0.00014269658,0.000026846816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034453627,0.0005112772,0.0004672895,0.00084051804,0.0003689113,0.0005737531,0.00075799436,0.0003880487,0.0020693038],"category_scores_gemma":[0.0011777186,0.00019144025,0.0003810036,0.0014178745,0.00030611377,0.00091935304,0.00065221207,0.000631075,0.0009291955],"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":[0.0003467902,0.000098871315,0.0008320854,0.00013268147,0.00003702812,0.00022190381,0.00017901299,0.036964852,0.14793119,0.009223178,0.0041509927,0.7998815],"study_design_scores_gemma":[0.00004452603,0.00023240788,0.0009999352,0.00002078636,0.000027148324,0.0004712577,0.000063199805,0.9216626,0.06404704,0.0035797074,0.008802402,0.000048935493],"about_ca_topic_score_codex":0.0021447388,"about_ca_topic_score_gemma":0.0031275337,"teacher_disagreement_score":0.0021447388,"about_ca_system_score_codex":0.0002968699,"about_ca_system_score_gemma":0.00064659544,"threshold_uncertainty_score":0.0069224834},"labels":[],"label_agreement":null},{"id":"W4232279057","doi":"10.4095/219894","title":"A Robust Approach for Estimating LAI from Landsat TM/ETM+ Imagery","year":2002,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Remote sensing; Thematic Mapper; Satellite imagery; Environmental science; Geology","score_opus":0.09356341714578673,"score_gpt":0.24414974477671225,"score_spread":0.15058632763092553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232279057","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":[0.02185507,0.0012623394,0.9471033,0.00022571992,0.000102946586,0.00064140424,0.01285436,0.007402928,0.0085518155],"genre_scores_gemma":[0.08155042,0.0008519048,0.8912727,0.00013438743,0.00008452397,0.00048926676,0.015879292,0.00067453424,0.009062885],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983663,0.00015990387,0.00009575827,0.00021151945,0.0010933914,0.00007304997],"domain_scores_gemma":[0.9984775,0.00019592575,0.00027386457,0.00046237375,0.00055849197,0.000031866723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017728413,0.0011561778,0.00055089925,0.002034488,0.00042244687,0.00095870084,0.0010989592,0.00060090824,0.0048555895],"category_scores_gemma":[0.0038581626,0.00038526815,0.0007052527,0.0020247416,0.00025361488,0.00070389325,0.00074030104,0.00051609636,0.0037649702],"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":[0.00013601643,0.00023874745,0.017054297,0.00052376685,0.00046643263,0.00023401178,0.00009395732,0.038104266,0.046304602,0.0069848527,0.02728054,0.8625785],"study_design_scores_gemma":[0.000113462585,0.0006612697,0.21317406,0.00020148767,0.00068551913,0.0019582128,0.00025384343,0.44145596,0.12284377,0.0172638,0.20091185,0.0004768419],"about_ca_topic_score_codex":0.019695697,"about_ca_topic_score_gemma":0.037002467,"teacher_disagreement_score":0.019695697,"about_ca_system_score_codex":0.0007332196,"about_ca_system_score_gemma":0.0013893963,"threshold_uncertainty_score":0.0391621},"labels":[],"label_agreement":null},{"id":"W4233114743","doi":"10.5194/isprs-archives-xliii-b3-2020-7-2020","title":"PREFACE: TECHNICAL COMMISSION III","year":2020,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Remote sensing; Library science; Commission; Geography; Cartography; Computer science; Engineering; Political science","score_opus":0.020727526135239475,"score_gpt":0.2444078646378083,"score_spread":0.22368033850256883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233114743","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018866477,0.008355856,0.012573844,0.053604618,0.10660387,0.0022587788,0.033289272,0.0051102736,0.7763169],"genre_scores_gemma":[0.005381192,0.0038343917,0.004058632,0.006465,0.009491518,0.0009725776,0.020671789,0.0021433868,0.94698155],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917121,0.0009844379,0.0007675508,0.0010193014,0.004689394,0.00082726165],"domain_scores_gemma":[0.9730164,0.0015453389,0.0009537082,0.0030629756,0.019360784,0.00206078],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008556065,0.0015090198,0.0009410519,0.0072353184,0.0038842643,0.012054603,0.0025247196,0.003822019,0.31620303],"category_scores_gemma":[0.018702235,0.00090630667,0.0011839275,0.0049791243,0.0011479099,0.0048375432,0.0033460413,0.0052257394,0.34657657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022613782,0.000015447195,0.00009388164,0.00012308056,0.0000028828501,0.00003350992,0.00006174949,0.00006187706,0.0002364972,0.003632188,0.9748137,0.020902522],"study_design_scores_gemma":[0.000002434982,0.0000074802224,0.00030256284,0.00008866899,0.0000016402042,0.00002011888,0.000052203068,0.000019903382,0.00012864354,0.000436514,0.9989348,0.000005032526],"about_ca_topic_score_codex":0.013664712,"about_ca_topic_score_gemma":0.006611198,"teacher_disagreement_score":0.683797,"about_ca_system_score_codex":0.006063166,"about_ca_system_score_gemma":0.013261396,"threshold_uncertainty_score":0.9753534},"labels":[],"label_agreement":null},{"id":"W4233262437","doi":"10.4016/29096.01","title":"CAMELEON - adaptive camouflage","year":2011,"lang":"en","type":"dataset","venue":"SciVee","topic":"Remote Sensing and Land Use","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":"Camouflage; Computer science; Artificial intelligence","score_opus":0.02609427767480054,"score_gpt":0.19965260234231919,"score_spread":0.17355832466751864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233262437","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015899171,0.00044035353,0.00057652267,0.00014670998,0.000060226772,0.000060207018,0.9930883,0.0028716903,0.0011660154],"genre_scores_gemma":[0.001997206,0.00010408187,0.0012513633,0.000057825684,0.0000066413118,0.00008904394,0.99587077,0.000083614344,0.0005394745],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992524,0.00010468059,0.00006116187,0.00023045382,0.00022177139,0.00012955848],"domain_scores_gemma":[0.9994486,0.00009849222,0.00005754432,0.00019040576,0.000142859,0.00006207492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065564475,0.0036623564,0.0015234735,0.0024213616,0.0007280719,0.0012931523,0.0040484774,0.0025838825,0.012680229],"category_scores_gemma":[0.0017586389,0.0005704932,0.0023200249,0.0027830799,0.00048465107,0.0010462706,0.0017349453,0.0014750662,0.022814816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040100116,0.00015027644,0.0032789027,0.001807697,0.00018576336,0.00010712758,0.000041593983,0.0027927316,0.00096917065,0.0006572149,0.9760118,0.013596832],"study_design_scores_gemma":[0.00071578304,0.00015665487,0.015722852,0.00048815444,0.00014968884,0.0003966456,0.00016338944,0.007576224,0.0037167252,0.002709831,0.968082,0.00012202716],"about_ca_topic_score_codex":0.03453067,"about_ca_topic_score_gemma":0.086277366,"teacher_disagreement_score":0.03453067,"about_ca_system_score_codex":0.0011119308,"about_ca_system_score_gemma":0.0010006631,"threshold_uncertainty_score":0.068659365},"labels":[],"label_agreement":null},{"id":"W4233443931","doi":"10.1109/lgrs.2013.2287063","title":"IEEE Geoscience and Remote Sensing Letters publication information","year":2013,"lang":"en","type":"article","venue":"IEEE Geoscience and Remote Sensing Letters","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Computer science; Remote sensing; Data science; Earth science; Information retrieval; World Wide Web; Geology","score_opus":0.01036476933107493,"score_gpt":0.19593716758068203,"score_spread":0.18557239824960708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233443931","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004357326,0.004517813,0.031958427,0.031372923,0.08278919,0.00040195903,0.011175209,0.009596431,0.8238307],"genre_scores_gemma":[0.011615265,0.0032610907,0.004869275,0.002119006,0.008564743,0.000092709495,0.01004742,0.0014033851,0.958027],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995135,0.00004208299,0.000022378941,0.000054103843,0.00030720833,0.000060751918],"domain_scores_gemma":[0.99777657,0.00021337254,0.00007053815,0.00028113223,0.0014103011,0.0002480638],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006042413,0.00084412907,0.0010434352,0.0019196485,0.0011050807,0.0030814062,0.0009927914,0.0017195359,0.5103498],"category_scores_gemma":[0.0023056604,0.00039705486,0.00039580624,0.0016857778,0.00035246616,0.0026489382,0.0009623757,0.0018235102,0.2976397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051893054,0.000040533818,0.00008949827,0.00006266444,0.0000039846886,0.000027637758,0.0000075226685,0.00013852342,0.0009513079,0.0015061462,0.93850225,0.05861801],"study_design_scores_gemma":[0.00002271861,0.000037643946,0.00065976795,0.000055034987,0.000011521908,0.00007153656,0.000026009931,0.0021371858,0.0017908452,0.0028862108,0.99228185,0.000019576637],"about_ca_topic_score_codex":0.0024727548,"about_ca_topic_score_gemma":0.006028097,"teacher_disagreement_score":0.5103498,"about_ca_system_score_codex":0.00077938614,"about_ca_system_score_gemma":0.0013339536,"threshold_uncertainty_score":0.69842654},"labels":[],"label_agreement":null},{"id":"W4234189895","doi":"10.1007/978-1-4614-6170-8_100083","title":"Volcano Pattern","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Volcano; Geology; Geography; Seismology","score_opus":0.013892754294244877,"score_gpt":0.17608098672897773,"score_spread":0.16218823243473285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234189895","genre_codex":"other","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":[0.013495377,0.0023022809,0.012000037,0.0010180469,0.0004765623,0.000047250993,0.004330171,0.00052524894,0.96580493],"genre_scores_gemma":[0.27262858,0.0063524893,0.0106570255,0.00035652026,0.0005323235,0.00005567183,0.007944906,0.00056379475,0.70090866],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99993205,0.00000542696,0.0000026151072,0.00002155701,0.000029974648,0.0000084389485],"domain_scores_gemma":[0.99996126,0.000005047835,0.000005028132,0.000007933276,0.0000140407665,0.0000066707603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086498905,0.00023293721,0.00012542527,0.0009568134,0.00025808442,0.0009496951,0.00032465553,0.00021794593,0.042120636],"category_scores_gemma":[0.00027464158,0.00008636695,0.00015039249,0.00094110833,0.00023486158,0.00058928883,0.0003858666,0.0002942162,0.010094769],"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":[0.00005234325,0.000018130137,0.008892665,0.00021687131,0.000028846187,0.00020881505,0.00084052776,0.002323348,0.0043453593,0.14437422,0.17177692,0.666922],"study_design_scores_gemma":[0.00000443186,0.00001519306,0.017291965,0.00006611319,0.000009979639,0.0003759668,0.00040531292,0.0010775045,0.000726973,0.018621871,0.9613949,0.000009798419],"about_ca_topic_score_codex":0.005342014,"about_ca_topic_score_gemma":0.010353758,"teacher_disagreement_score":0.042120636,"about_ca_system_score_codex":0.00043753625,"about_ca_system_score_gemma":0.0002517615,"threshold_uncertainty_score":0.14090759},"labels":[],"label_agreement":null},{"id":"W4237350970","doi":"10.1007/978-1-4939-7131-2_101443","title":"Volcano Pattern","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Volcano; Geology; Seismology; Geography","score_opus":0.01812054595422312,"score_gpt":0.18836795613851445,"score_spread":0.17024741018429135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237350970","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014196746,0.0028210387,0.011814701,0.001180541,0.0005692074,0.000046745317,0.0047235824,0.0005837294,0.96406364],"genre_scores_gemma":[0.29202485,0.00789799,0.010371475,0.00039394235,0.00067087467,0.00005883443,0.008974149,0.00067574315,0.6789321],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99993384,0.000005072143,0.0000025228342,0.000021878843,0.000028646009,0.000008097459],"domain_scores_gemma":[0.9999583,0.00000580299,0.0000051844468,0.000008809711,0.000014878876,0.0000071244217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009136644,0.00023950479,0.00012409288,0.00095830316,0.0002573284,0.0009800073,0.00033327146,0.00022999762,0.041547295],"category_scores_gemma":[0.00029419461,0.000086741835,0.00015437884,0.0009620232,0.00023075388,0.00061799854,0.0003868286,0.00030857392,0.0106942365],"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":[0.000058639867,0.000018586996,0.008876245,0.00026402087,0.000029897115,0.00022892581,0.00092508906,0.0022844025,0.004436381,0.14327419,0.18021482,0.65938884],"study_design_scores_gemma":[0.000004688873,0.000015798061,0.016326237,0.000070955444,0.000010901062,0.0003962898,0.00039511488,0.0009892065,0.0007563364,0.018296553,0.9627283,0.000009521624],"about_ca_topic_score_codex":0.004660597,"about_ca_topic_score_gemma":0.008776545,"teacher_disagreement_score":0.041547295,"about_ca_system_score_codex":0.00043044914,"about_ca_system_score_gemma":0.00023362295,"threshold_uncertainty_score":0.13898957},"labels":[],"label_agreement":null},{"id":"W4238223586","doi":"10.4095/219882","title":"QUAD-LACC: A Proto-type System to Generate and Interpret Satellite-Derived Land Cover Products","year":2002,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Natural Resources Canada","funders":"","keywords":"Cover (algebra); Satellite; Land cover; Type (biology); Remote sensing; Computer science; Geography; Geodesy; Geology; Astronomy; Physics; Land use; Engineering; Biology; Ecology; Paleontology","score_opus":0.03530406159989173,"score_gpt":0.23799480018128438,"score_spread":0.20269073858139264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238223586","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":[0.05645866,0.00022645369,0.7005041,0.00028800257,0.000117863725,0.0015855732,0.051767386,0.16257066,0.026481338],"genre_scores_gemma":[0.17491247,0.00016330859,0.7254784,0.0002998636,0.00006866155,0.0010503755,0.07445061,0.005212625,0.018363744],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996221,0.000052665822,0.000019153847,0.00006978771,0.00018939268,0.000046925117],"domain_scores_gemma":[0.99899,0.000077522185,0.00005407979,0.00024079983,0.0005534724,0.00008403598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011402473,0.000567386,0.00038065668,0.0015236449,0.00054997695,0.0008252009,0.0012228952,0.00038848177,0.0122822905],"category_scores_gemma":[0.0014224674,0.00036330128,0.00033138477,0.001417936,0.0002697753,0.00081764173,0.0008346357,0.0003628166,0.007509533],"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":[0.0014046554,0.00035434007,0.019598091,0.00044701758,0.00016093969,0.00038587727,0.00071313133,0.016309809,0.083063096,0.0069234944,0.294697,0.5759426],"study_design_scores_gemma":[0.0005388119,0.0004967933,0.04614156,0.000057899982,0.000096386706,0.00093964866,0.0002384625,0.47808218,0.11779015,0.0058815368,0.34953538,0.00020124667],"about_ca_topic_score_codex":0.0105585465,"about_ca_topic_score_gemma":0.013089843,"teacher_disagreement_score":0.0122822905,"about_ca_system_score_codex":0.00055946637,"about_ca_system_score_gemma":0.0009495875,"threshold_uncertainty_score":0.041088343},"labels":[],"label_agreement":null},{"id":"W4238829890","doi":"10.5589/m06-904","title":"Call for applications Editor-in-Chief Canadian Journal of Remote Sensing","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Editor in chief; Geography; Library science; Data science; Remote sensing; Computer science; Management","score_opus":0.010796430302509727,"score_gpt":0.20641082931983945,"score_spread":0.19561439901732972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238829890","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010555176,0.004901162,0.0017812618,0.12716919,0.50232047,0.0012062636,0.003367955,0.0032253976,0.35497287],"genre_scores_gemma":[0.0017466693,0.0025789049,0.0015206835,0.019080007,0.054309882,0.00018953922,0.00092690083,0.0007147881,0.91893256],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975521,0.00011561259,0.00016598083,0.00022026018,0.0017078671,0.00023815258],"domain_scores_gemma":[0.95470226,0.0027024671,0.0008401727,0.0013055685,0.031817865,0.0086316755],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027340036,0.001600155,0.0021365872,0.0048257196,0.0033819184,0.00595013,0.0019277757,0.0044185966,0.50125325],"category_scores_gemma":[0.019897204,0.00077178585,0.0010603222,0.0030074597,0.0009310392,0.0029330796,0.002129217,0.0028412072,0.35697663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010479438,0.000010875483,0.00007622525,0.00003441342,0.0000014009476,0.000024882078,0.0000045326337,0.000011207554,0.000054653072,0.00008963893,0.98922616,0.010455615],"study_design_scores_gemma":[0.000019509916,0.000009596778,0.00069490424,0.000037448128,0.0000059312374,0.00004101075,0.00004312128,0.00008425555,0.00005518631,0.00026659278,0.9987293,0.000013151635],"about_ca_topic_score_codex":0.04227658,"about_ca_topic_score_gemma":0.14548367,"teacher_disagreement_score":0.50125325,"about_ca_system_score_codex":0.00232364,"about_ca_system_score_gemma":0.008538512,"threshold_uncertainty_score":0.7114017},"labels":[],"label_agreement":null},{"id":"W4242172089","doi":"10.1109/lgrs.2013.2279724","title":"IEEE Geoscience and Remote Sensing Letters publication information","year":2013,"lang":"en","type":"article","venue":"IEEE Geoscience and Remote Sensing Letters","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Computer science; Data science; Earth science; Remote sensing; Information retrieval; Geology","score_opus":0.01036476933107493,"score_gpt":0.19593716758068203,"score_spread":0.18557239824960708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242172089","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004357326,0.004517813,0.031958427,0.031372923,0.08278919,0.00040195903,0.011175209,0.009596431,0.8238307],"genre_scores_gemma":[0.011615265,0.0032610907,0.004869275,0.002119006,0.008564743,0.000092709495,0.01004742,0.0014033851,0.958027],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995135,0.00004208299,0.000022378941,0.000054103843,0.00030720833,0.000060751918],"domain_scores_gemma":[0.99777657,0.00021337254,0.00007053815,0.00028113223,0.0014103011,0.0002480638],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006042413,0.00084412907,0.0010434352,0.0019196485,0.0011050807,0.0030814062,0.0009927914,0.0017195359,0.5103498],"category_scores_gemma":[0.0023056604,0.00039705486,0.00039580624,0.0016857778,0.00035246616,0.0026489382,0.0009623757,0.0018235102,0.2976397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051893054,0.000040533818,0.00008949827,0.00006266444,0.0000039846886,0.000027637758,0.0000075226685,0.00013852342,0.0009513079,0.0015061462,0.93850225,0.05861801],"study_design_scores_gemma":[0.00002271861,0.000037643946,0.00065976795,0.000055034987,0.000011521908,0.00007153656,0.000026009931,0.0021371858,0.0017908452,0.0028862108,0.99228185,0.000019576637],"about_ca_topic_score_codex":0.0024727548,"about_ca_topic_score_gemma":0.006028097,"teacher_disagreement_score":0.5103498,"about_ca_system_score_codex":0.00077938614,"about_ca_system_score_gemma":0.0013339536,"threshold_uncertainty_score":0.69842654},"labels":[],"label_agreement":null},{"id":"W4244140087","doi":"10.4095/219898","title":"Derivation of Land Cover Continuous Fields over Canada from SPOT-VGT Imagery","year":2002,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Estimator; Land cover; Remote sensing; Inversion (geology); Calibration; Pixel; Cover (algebra); Image resolution; Environmental science; Geography; Computer science; Statistics; Mathematics; Geology; Land use; Artificial intelligence; Ecology; Geomorphology","score_opus":0.01648055589424388,"score_gpt":0.2007749155986547,"score_spread":0.18429435970441083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244140087","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":[0.54420227,0.0011072367,0.38329348,0.0003971036,0.000058766072,0.0007119499,0.038025483,0.0047669006,0.027436875],"genre_scores_gemma":[0.75942224,0.00068687514,0.19878924,0.00007141223,0.000017081888,0.0001712478,0.033791967,0.00032740633,0.006722495],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99982435,0.0000069272537,0.000005169683,0.000032186857,0.000103852195,0.000027614022],"domain_scores_gemma":[0.9996147,0.0000384207,0.000020904834,0.000024331484,0.0002801895,0.000021488726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027031597,0.00031855758,0.00014311132,0.0012850545,0.0005441852,0.00089354103,0.00059025735,0.00019740437,0.0017887554],"category_scores_gemma":[0.0012594975,0.0003238348,0.0003821631,0.0015408142,0.000364995,0.0002864409,0.00034535967,0.0004611922,0.0007598244],"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":[0.00013665468,0.000103504746,0.107789546,0.000255781,0.00012722211,0.00061856216,0.00038982645,0.40851617,0.014666014,0.014060573,0.016477255,0.43685883],"study_design_scores_gemma":[0.00005145574,0.000018425295,0.2545736,0.00007721778,0.00003732822,0.00020066298,0.00019275055,0.71061575,0.010690846,0.0024669978,0.021016149,0.000058802536],"about_ca_topic_score_codex":0.9394486,"about_ca_topic_score_gemma":0.94127023,"teacher_disagreement_score":0.060551405,"about_ca_system_score_codex":0.0066935485,"about_ca_system_score_gemma":0.0071811946,"threshold_uncertainty_score":0.12181598},"labels":[],"label_agreement":null},{"id":"W4244316469","doi":"10.4095/220054","title":"Block bundle adjustment of Landsat-7 ETM+ images over mountainous areas","year":2003,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Block (permutation group theory); Remote sensing; Geography; Geology; Cartography; Environmental science; Mathematics; Geometry","score_opus":0.021403981179545263,"score_gpt":0.24492795112502108,"score_spread":0.22352396994547583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244316469","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30169216,0.00040982914,0.6888479,0.000112718706,0.00010638064,0.00022755541,0.0013955223,0.003082753,0.0041251834],"genre_scores_gemma":[0.5169882,0.00027404775,0.47529867,0.000040544204,0.000033078497,0.00012309966,0.0026850975,0.0005085977,0.004048673],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995018,0.00010295273,0.000025120651,0.00011622785,0.0001989256,0.000054900316],"domain_scores_gemma":[0.9994955,0.000066172564,0.0000724332,0.000106824766,0.00023922652,0.000019845163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005833068,0.00066181604,0.00044109416,0.0010059668,0.00031148977,0.0006238983,0.00037481528,0.00021845545,0.0015262949],"category_scores_gemma":[0.0014137136,0.00038341567,0.0005787406,0.001513963,0.00012950147,0.0008426078,0.00044778598,0.00038977998,0.00086872524],"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":[0.00043057484,0.00016640985,0.01975257,0.00024344814,0.0003354718,0.0001125747,0.00045672784,0.14152792,0.13620102,0.0015135116,0.0047122757,0.6945476],"study_design_scores_gemma":[0.000063669,0.00021863721,0.08053212,0.000029621066,0.00015897962,0.00018231536,0.00022135754,0.84160525,0.05365281,0.0016531036,0.021601621,0.00008047994],"about_ca_topic_score_codex":0.01237124,"about_ca_topic_score_gemma":0.017425299,"teacher_disagreement_score":0.01237124,"about_ca_system_score_codex":0.00033726037,"about_ca_system_score_gemma":0.0005505489,"threshold_uncertainty_score":0.02459848},"labels":[],"label_agreement":null},{"id":"W4245671604","doi":"10.5194/isprsannals-iii-2-3-2016","title":"TRACKING THE SPATIAL EVOLUTION OF URBAN HEAT ISLANDS","year":2016,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Université Laval; 3v Geomatics (Canada)","funders":"Hong Kong Polytechnic University","keywords":"Urban heat island; Merge (version control); Grid; Urbanization; Computer science; Data mining; Meteorology; Geography; Ecology; Geodesy","score_opus":0.03180925136384594,"score_gpt":0.2563894592996204,"score_spread":0.2245802079357745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245671604","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":[0.97759104,0.00008770224,0.019828303,0.000049071015,0.0000068820523,0.000022256718,0.0009082438,0.0002351436,0.0012713956],"genre_scores_gemma":[0.99063826,0.000052098512,0.008534106,0.000003115414,0.0000017449543,0.000008160226,0.0005444633,0.0000107995365,0.00020729851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999049,0.000015799047,0.00000606815,0.00004042666,0.00002055838,0.000012276695],"domain_scores_gemma":[0.9997651,0.00005450359,0.000056722783,0.000037757996,0.00006413346,0.000021832948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002848488,0.00015914225,0.0001727217,0.0008307303,0.00017225607,0.0006412917,0.00032388358,0.0002232262,0.00034889637],"category_scores_gemma":[0.00078269216,0.0001260979,0.00020398929,0.0010417273,0.00015727377,0.0005092383,0.00030936807,0.00015275042,0.000115819676],"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":[0.00022489876,0.00012784866,0.40527615,0.0001395246,0.00013791883,0.00030086917,0.0009350023,0.47721335,0.017657002,0.004461006,0.0018067616,0.09171974],"study_design_scores_gemma":[0.0000030607816,0.000019711759,0.06877524,0.000007078787,0.000020186564,0.000038774815,0.00031070705,0.9272016,0.0023204929,0.00049755437,0.0007948379,0.000010666625],"about_ca_topic_score_codex":0.030983102,"about_ca_topic_score_gemma":0.027896792,"teacher_disagreement_score":0.030983102,"about_ca_system_score_codex":0.00057843374,"about_ca_system_score_gemma":0.0003117842,"threshold_uncertainty_score":0.061605513},"labels":[],"label_agreement":null},{"id":"W4245972137","doi":"10.1017/9781139016476","title":"Urban Climates","year":2017,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1426,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of British Columbia","funders":"","keywords":"Urban climate; Environmental planning; Terminology; Urban design; Urban heat island; Urban planning; Resource (disambiguation); Urban climatology; Environmental resource management; Geography; Environmental science; Architectural engineering; Civil engineering; Engineering; Meteorology; Computer science","score_opus":0.02088721430705725,"score_gpt":0.18509162127738382,"score_spread":0.16420440697032657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245972137","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012440716,0.02364194,0.0023690145,0.0069527114,0.0046093185,0.000040687257,0.0009379137,0.00037477334,0.95982945],"genre_scores_gemma":[0.03260651,0.027111383,0.0027458968,0.0032884632,0.0021032519,0.00009473325,0.0014927381,0.00041261263,0.9301444],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996555,0.00006726805,0.000011244878,0.00006535679,0.00014550544,0.000055143115],"domain_scores_gemma":[0.9998561,0.000031407664,0.000012040355,0.00002295236,0.00004638105,0.00003113615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025505797,0.0006368734,0.00042036458,0.0008475229,0.0016250607,0.004106718,0.00052592636,0.00092819065,0.05787096],"category_scores_gemma":[0.00087506196,0.00021410934,0.00043378797,0.0016320624,0.0013765136,0.0026281732,0.0026670736,0.0018509052,0.021743886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000125253,0.000012275181,0.00028422265,0.00018415344,0.000006920176,0.000074420546,0.0009023408,0.0005938608,0.00023283885,0.39655057,0.49609163,0.10505422],"study_design_scores_gemma":[5.42487e-7,0.0000017878518,0.00012890747,0.00004146825,6.382082e-7,0.000028253822,0.000086980675,0.00003037443,0.000019678502,0.008898065,0.99076134,0.0000020526422],"about_ca_topic_score_codex":0.0043174094,"about_ca_topic_score_gemma":0.008071305,"teacher_disagreement_score":0.05787096,"about_ca_system_score_codex":0.0022375262,"about_ca_system_score_gemma":0.001497841,"threshold_uncertainty_score":0.19359761},"labels":[],"label_agreement":null},{"id":"W4248966853","doi":"10.4095/219872","title":"The development and application of land use/land use intensity data from SPOT/VEGETATION and Census of Agriculture data","year":2002,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","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":"Census; Vegetation (pathology); Geography; Land use; Agriculture; Intensity (physics); Environmental science; Physical geography; Forestry; Ecology; Demography; Archaeology; Biology; Medicine","score_opus":0.09760716432838157,"score_gpt":0.2546378997488551,"score_spread":0.15703073542047352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248966853","genre_codex":"dataset","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":[0.3530822,0.0006490573,0.19061656,0.0007880198,0.00019951678,0.004838572,0.39683974,0.0059436834,0.04704267],"genre_scores_gemma":[0.2325554,0.00047763533,0.41244563,0.0001455307,0.000035293313,0.0014707181,0.33979753,0.0005009481,0.012571294],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99851745,0.00011881592,0.00008389111,0.00016542117,0.00094970874,0.00016462107],"domain_scores_gemma":[0.9953383,0.0002526313,0.00024445128,0.00044465967,0.0034382995,0.0002816019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012103763,0.00041889507,0.00032574128,0.0044510583,0.00079913804,0.001058983,0.00101154,0.00022064339,0.0023074348],"category_scores_gemma":[0.0047590695,0.00032383853,0.0003575551,0.005818456,0.00024134229,0.0006502405,0.00083240063,0.00063019537,0.0011104293],"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":[0.0003182546,0.0004353283,0.21507598,0.0005792977,0.00017566558,0.00048305618,0.0017821481,0.021998668,0.041146602,0.007298415,0.060516983,0.6501897],"study_design_scores_gemma":[0.000119290664,0.00011505246,0.6460067,0.00019690263,0.00014323332,0.00041205468,0.0016292175,0.064897455,0.04652155,0.0017277541,0.23806193,0.00016883369],"about_ca_topic_score_codex":0.7930074,"about_ca_topic_score_gemma":0.8666512,"teacher_disagreement_score":0.20699263,"about_ca_system_score_codex":0.0042759646,"about_ca_system_score_gemma":0.013739226,"threshold_uncertainty_score":0.41642326},"labels":[],"label_agreement":null},{"id":"W4250000052","doi":"10.1554/cr04-001","title":"UNDERSTANDING THE ORIGINS OF AREAS OF ENDEMISM IN PHYLOGEOGRAPHIC ANALYSES: A REPLY TO BRIDLE ET AL","year":2004,"lang":"en","type":"article","venue":"Evolution","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Biology; Phylogeography; Endemism; Evolutionary biology; Ecology; Phylogenetics; Genetics","score_opus":0.07972753665121253,"score_gpt":0.2897540486572548,"score_spread":0.21002651200604228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250000052","genre_codex":"commentary","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":[0.00025238527,0.0035324246,0.00073761895,0.9884908,0.006710172,0.0000031396255,0.000040873543,0.000019642901,0.00021283537],"genre_scores_gemma":[0.009331366,0.0041966783,0.002193647,0.94571185,0.036861595,0.000041139097,0.000054353553,0.000072615134,0.0015367173],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98814917,0.005773455,0.0012209112,0.002296673,0.0020856229,0.00047409625],"domain_scores_gemma":[0.80792177,0.14799963,0.004820292,0.008489411,0.024762694,0.006006192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04164791,0.001387547,0.0027667563,0.0023053829,0.0049562966,0.0069498383,0.0055561443,0.034882333,0.006618951],"category_scores_gemma":[0.16191304,0.0013513512,0.0015226556,0.0033409789,0.024005488,0.019583695,0.0070691486,0.06582184,0.003590851],"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":[0.00007585623,0.000030045338,0.0017209974,0.00025145072,0.00015134229,0.00025219301,0.0025839617,0.00028738708,0.0002086332,0.01465895,0.9552909,0.024488403],"study_design_scores_gemma":[0.00029784933,0.00007754282,0.005184882,0.0017013636,0.00021757274,0.0016177865,0.008173402,0.0012819782,0.0008549081,0.19935144,0.78080165,0.00043964005],"about_ca_topic_score_codex":0.010203033,"about_ca_topic_score_gemma":0.013046861,"teacher_disagreement_score":0.04164791,"about_ca_system_score_codex":0.00326095,"about_ca_system_score_gemma":0.0054690335,"threshold_uncertainty_score":0.22025782},"labels":[],"label_agreement":null},{"id":"W4250908727","doi":"10.5194/isprsarchives-xli-b8-1371-2016","title":"TOWARDS CONSISTENT MAPPING OF URBAN STRUCTURES – GLOBAL HUMAN SETTLEMENT LAYER AND LOCAL CLIMATE ZONES","year":2016,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":18,"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 Toronto; University of Victoria","funders":"","keywords":"Comparability; Geography; Grid; Scale (ratio); Population; Thematic map; Urban planning; Cartography; Computer science; Mathematics; Civil engineering; Engineering","score_opus":0.02053221677100472,"score_gpt":0.2512015612130637,"score_spread":0.23066934444205897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250908727","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":[0.71789676,0.0012206873,0.21596047,0.0010393807,0.0000971985,0.00027150038,0.038934223,0.0027250543,0.021854615],"genre_scores_gemma":[0.8278281,0.00033524027,0.15031214,0.00010906299,0.000018799545,0.00016515312,0.01996557,0.00035028698,0.0009156507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932647,0.00020433006,0.00004826549,0.00018337458,0.00015272618,0.00008493208],"domain_scores_gemma":[0.99894077,0.00014296314,0.00016224042,0.00036009066,0.00032486152,0.000069175985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002097076,0.00055612356,0.0003693447,0.003937864,0.00029533784,0.0021894514,0.0006399165,0.00063736225,0.0010528183],"category_scores_gemma":[0.0033161212,0.00036747128,0.0005892431,0.004473499,0.0004180201,0.0014339234,0.002728089,0.0005975884,0.0006390212],"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":[0.00029929721,0.00020545164,0.54812276,0.00061583053,0.0004661136,0.00041797454,0.0030812796,0.09737814,0.023367368,0.024392897,0.01569782,0.285955],"study_design_scores_gemma":[0.00005642781,0.00006702962,0.80399746,0.00020433145,0.00013372042,0.00017240827,0.0031599493,0.12853174,0.0065230727,0.01441211,0.04264328,0.00009850978],"about_ca_topic_score_codex":0.015902556,"about_ca_topic_score_gemma":0.01692997,"teacher_disagreement_score":0.015902556,"about_ca_system_score_codex":0.000643512,"about_ca_system_score_gemma":0.00083576574,"threshold_uncertainty_score":0.031619966},"labels":[],"label_agreement":null},{"id":"W4253728838","doi":"10.32920/ryerson.14664636","title":"Urban sprawl into the Niagara Region: the effect of urban encroachment on agriculture seen through the use of remote sensing applications and landscape metrics","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Urban sprawl; Geography; Agriculture; Fragmentation (computing); Land use; Agricultural land; Environmental resource management; Urban landscape; Environmental planning; Satellite imagery; Remote sensing; Environmental science; Computer science; Civil engineering; Engineering; Archaeology","score_opus":0.024722764763542404,"score_gpt":0.22805685971814837,"score_spread":0.20333409495460597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253728838","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":[0.99477875,0.00020530344,0.00019825499,0.00014987926,0.0000046726195,0.000008343989,0.00016038254,0.000020699112,0.004473828],"genre_scores_gemma":[0.99809366,0.0002817641,0.0005176315,0.000013365018,0.0000048348834,0.0000071856352,0.00011549612,0.000006890458,0.00095916307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969256,0.000092515525,0.000017808317,0.00006457411,0.00008684591,0.000045735393],"domain_scores_gemma":[0.9985952,0.0005159822,0.00031333143,0.000115109804,0.00035124642,0.00010909795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002457879,0.0002090094,0.00015650559,0.0006029383,0.00068000815,0.0016441451,0.00018688606,0.00018554267,0.0013659565],"category_scores_gemma":[0.0016325278,0.00010197358,0.00015522446,0.0015414628,0.0006509012,0.0008342973,0.0008299391,0.00032760148,0.00024419322],"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":[0.0002292249,0.00007221526,0.93897873,0.00011873877,0.000054988584,0.0008636366,0.005511867,0.0019988576,0.0050173057,0.0006579941,0.0011348642,0.045361515],"study_design_scores_gemma":[0.0000021773494,0.00004753857,0.98763067,0.00002315131,0.000017107895,0.00025788377,0.006778014,0.001312686,0.00095433247,0.00009879536,0.0028689585,0.000008644489],"about_ca_topic_score_codex":0.08333657,"about_ca_topic_score_gemma":0.21390878,"teacher_disagreement_score":0.9166634,"about_ca_system_score_codex":0.0011696351,"about_ca_system_score_gemma":0.0005672757,"threshold_uncertainty_score":0.165703},"labels":[],"label_agreement":null},{"id":"W4281493766","doi":"10.36227/techrxiv.19817503.v1","title":"Space-Time Adaptive Modeling and Shape Optimization of Microwave Structures With Applications to Metasurface Design","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"University of Toronto","funders":"","keywords":"Discontinuous Galerkin method; Adaptive mesh refinement; Computer science; Mathematical optimization; Microwave; Kriging; Computational science; Scalability; Computation; Algorithm; Finite element method; Mathematics; Physics","score_opus":0.035057866090096736,"score_gpt":0.2255495745392169,"score_spread":0.19049170844912017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281493766","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009622728,0.00012101555,0.9878614,0.00009209231,0.000013597044,0.000010971955,0.000019378816,0.000110863126,0.0021478522],"genre_scores_gemma":[0.51580775,0.0005568208,0.47788566,0.000087633285,0.000042800384,0.0001545968,0.00012025356,0.00020304762,0.005141418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998691,0.000031828706,0.000004462154,0.000017578135,0.000067281966,0.000009785031],"domain_scores_gemma":[0.9998529,0.00006200274,0.00002349533,0.000027089525,0.000027317614,0.0000072589714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029104744,0.00042689175,0.00034423813,0.00028874818,0.00016793385,0.00050123566,0.00054824876,0.00073824986,0.0008644011],"category_scores_gemma":[0.0005250523,0.00025565812,0.00062709063,0.0003434036,0.0004457605,0.00049983466,0.00047131427,0.0004963405,0.00026349092],"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":[0.000009840255,0.000011038098,0.00018787498,0.000023142771,0.000009210275,0.000024658762,0.00002245574,0.9667353,0.009538064,0.01002115,0.00019021126,0.013227017],"study_design_scores_gemma":[0.000001293979,0.000005012237,0.000031324693,0.0000013968373,8.5835177e-7,0.000008310997,0.0000024413534,0.99717015,0.0007924388,0.0013739492,0.000611329,0.0000015534562],"about_ca_topic_score_codex":0.00088850816,"about_ca_topic_score_gemma":0.00088054745,"teacher_disagreement_score":0.00088850816,"about_ca_system_score_codex":0.00047096153,"about_ca_system_score_gemma":0.00041355417,"threshold_uncertainty_score":0.0034171343},"labels":[],"label_agreement":null},{"id":"W4285305064","doi":"10.2316/j.2022.206-0730","title":"CULTIVATED LAND SEGMENTATION OF REMOTE SENSING IMAGE BASED ON PSPNET OF ATTENTION MECHANISM, 11-19.","year":2022,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Segmentation; Mechanism (biology); Remote sensing; Food security; Cultivated land; Image segmentation; Geography; Computer vision; Agriculture","score_opus":0.012057245204086109,"score_gpt":0.24257861392565405,"score_spread":0.23052136872156795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285305064","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":[0.2290248,0.0019235194,0.726978,0.00049171987,0.00042601133,0.00048371387,0.0039972863,0.010662022,0.026012924],"genre_scores_gemma":[0.79754686,0.0009877254,0.18338342,0.00020460095,0.00011934484,0.00019061452,0.005333275,0.00024190426,0.011992284],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998528,0.000010930541,0.000008759039,0.00005567242,0.000038848713,0.00003298727],"domain_scores_gemma":[0.9999287,0.0000077465,0.000008536426,0.000010284353,0.0000343255,0.000010393144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001780413,0.0008705449,0.00049782905,0.0017068507,0.0004111263,0.0007853201,0.0007263623,0.0005525034,0.0038170319],"category_scores_gemma":[0.0003089339,0.0002840932,0.0005131009,0.0010820085,0.00024991925,0.0009851392,0.00045857925,0.00028535983,0.001097995],"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":[0.00062029937,0.00034860274,0.013992968,0.0004783142,0.00022867139,0.0008903989,0.00022275114,0.05414571,0.11219198,0.0038017717,0.018922683,0.79415596],"study_design_scores_gemma":[0.000032206688,0.00013994405,0.02848834,0.00004885587,0.00013400948,0.00044398487,0.00015198086,0.90772194,0.0508706,0.00413183,0.0077977786,0.00003858314],"about_ca_topic_score_codex":0.015138099,"about_ca_topic_score_gemma":0.024282688,"teacher_disagreement_score":0.015138099,"about_ca_system_score_codex":0.0005999866,"about_ca_system_score_gemma":0.0009016336,"threshold_uncertainty_score":0.030099928},"labels":[],"label_agreement":null},{"id":"W4292023938","doi":"10.1016/j.jhydro1.2005.02.042","title":"Multifractals, cloud radiances and rain","year":2006,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Cloud computing; Environmental science; Remote sensing; Meteorology; Geography; Computer science","score_opus":0.013914058470557426,"score_gpt":0.2022776154941129,"score_spread":0.18836355702355548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292023938","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":[0.83361435,0.009611459,0.1500872,0.001487647,0.00014948395,0.000015633448,0.00053473323,0.00028145884,0.0042180317],"genre_scores_gemma":[0.9877747,0.0019607015,0.0074557224,0.00003449137,0.00022682929,0.0000053757635,0.00019552211,0.00004224653,0.0023043882],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985397,0.00003960501,0.000004841277,0.000025474652,0.00004889148,0.000027159758],"domain_scores_gemma":[0.99830174,0.00090666313,0.0003791117,0.00015760146,0.00014872747,0.000106071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004061578,0.00031242362,0.0003190332,0.001328381,0.00032237903,0.0009010887,0.0003200077,0.0006669505,0.0017487778],"category_scores_gemma":[0.0037977428,0.00026470257,0.00026997417,0.0016900154,0.00055971835,0.0012787605,0.00038980634,0.0006639352,0.00023282063],"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":[0.0006732812,0.00019592582,0.055950955,0.00045478484,0.0002798102,0.0008451539,0.00094396854,0.28984734,0.05005834,0.31118205,0.007914116,0.28165433],"study_design_scores_gemma":[0.000037647376,0.00006267108,0.08328964,0.000035489553,0.00005849486,0.0004898918,0.00019776123,0.745677,0.00306916,0.16298312,0.004038419,0.000060688173],"about_ca_topic_score_codex":0.005565566,"about_ca_topic_score_gemma":0.0045012697,"teacher_disagreement_score":0.005565566,"about_ca_system_score_codex":0.00040191432,"about_ca_system_score_gemma":0.00021235964,"threshold_uncertainty_score":0.011066318},"labels":[],"label_agreement":null},{"id":"W4293007834","doi":"10.11159/icepr22.152","title":"Analysis of Sea Surface Temperature due to Climate Change using Satellite Products and Spatial Gap-filling Approaches","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sea surface temperature; Climate change; Satellite; Environmental science; Spatial change; Climatology; Remote sensing; Materials science; Geology; Physical geography; Oceanography; Geography; Engineering; Aerospace engineering","score_opus":0.05075235367512374,"score_gpt":0.23091421419970892,"score_spread":0.1801618605245852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293007834","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":[0.9571914,0.00023213355,0.040515047,0.00011121278,0.000025681942,0.00001908702,0.0006688485,0.00015237417,0.0010842324],"genre_scores_gemma":[0.9861573,0.000109300454,0.0126484055,0.0000091880465,0.000015242243,0.000017760454,0.00069030654,0.00003585993,0.00031659938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997471,0.00009227701,0.000018818253,0.00005570068,0.000052165808,0.0000339227],"domain_scores_gemma":[0.99908864,0.00057034375,0.00006944092,0.00012149117,0.00012754198,0.000022546896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010412481,0.00032248476,0.00040740412,0.0010036372,0.00026172004,0.0007110246,0.00046987366,0.00041856777,0.00075291254],"category_scores_gemma":[0.0024390507,0.0003035259,0.0008591064,0.0016366278,0.00031378152,0.0011029678,0.0004956647,0.00038415857,0.00012840403],"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":[0.00068660936,0.00022655063,0.13385455,0.00018729316,0.00047109165,0.0002503079,0.00035386387,0.72130466,0.011454871,0.0070039965,0.00077260536,0.123433515],"study_design_scores_gemma":[0.000015368778,0.000060390397,0.058164004,0.000010556743,0.00005776308,0.000044484223,0.00018062921,0.93647766,0.0018520852,0.002516585,0.0006034207,0.000017130007],"about_ca_topic_score_codex":0.013546433,"about_ca_topic_score_gemma":0.010213773,"teacher_disagreement_score":0.013546433,"about_ca_system_score_codex":0.00041367026,"about_ca_system_score_gemma":0.0005664018,"threshold_uncertainty_score":0.02693516},"labels":[],"label_agreement":null},{"id":"W4293008096","doi":"10.11159/icepr22.166","title":"Atmospheric Correction of Sentinel-2 Satellite Images for Improvement of Vegetation Indices","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"Rural Development Administration","keywords":"Environmental science; Normalized Difference Vegetation Index; Vegetation (pathology); Evapotranspiration; Leaf area index; Atmospheric correction; Climate change; Atmosphere (unit); Satellite; Climate model; Remote sensing; Radiative transfer; Photosynthetically active radiation; Atmospheric sciences; Meteorology; Geography; Ecology","score_opus":0.009641457084863905,"score_gpt":0.21413979038979333,"score_spread":0.20449833330492942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293008096","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":[0.24632747,0.0037161189,0.69495803,0.0010498941,0.003507991,0.00030753092,0.012209879,0.016882407,0.021040656],"genre_scores_gemma":[0.45286596,0.0017786049,0.51775545,0.0003362853,0.00038954517,0.00016591034,0.016820425,0.0019796279,0.007908161],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995215,0.000078632496,0.000029074248,0.00010334923,0.00021479765,0.000052635267],"domain_scores_gemma":[0.99933666,0.000049138212,0.00006725697,0.0001029747,0.000423336,0.000020540467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008246326,0.0008305197,0.00031514923,0.0013799046,0.00034459145,0.0006095071,0.00052274374,0.0003565494,0.0028172866],"category_scores_gemma":[0.0016620591,0.00023084875,0.0005342708,0.0021410272,0.00013408781,0.0008424276,0.0004223855,0.0008388938,0.0021564674],"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":[0.0003759699,0.00017304422,0.033813838,0.0005776927,0.0002768648,0.00034437556,0.00030223082,0.021653432,0.25448897,0.0031594792,0.046934444,0.63789964],"study_design_scores_gemma":[0.00016290581,0.00025530564,0.23124601,0.0001579422,0.00041103121,0.00066171435,0.0004177414,0.44917178,0.16944158,0.0044528195,0.14338376,0.00023749606],"about_ca_topic_score_codex":0.0054698917,"about_ca_topic_score_gemma":0.008008652,"teacher_disagreement_score":0.0054698917,"about_ca_system_score_codex":0.00023085182,"about_ca_system_score_gemma":0.0005801354,"threshold_uncertainty_score":0.010876119},"labels":[],"label_agreement":null},{"id":"W4294241786","doi":"","title":"Sandia Remote Sensing E-Magazine Quarter 4 2005.","year":2020,"lang":"en","type":"paratext","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Remote Sensing and Land Use","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":"Quarter (Canadian coin); Computer science; Remote sensing; Geology; Geography","score_opus":0.012191051157306926,"score_gpt":0.21606806329259134,"score_spread":0.20387701213528442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294241786","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020967906,0.0036101474,0.0068720803,0.0039622094,0.00295729,0.00009676599,0.032594237,0.009307554,0.93850297],"genre_scores_gemma":[0.0057784286,0.0017382408,0.002897209,0.00037544194,0.00020459539,0.000022488553,0.010737882,0.00089147215,0.9773542],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99979573,0.000019564231,0.0000117870495,0.000040127958,0.00011432559,0.000018524188],"domain_scores_gemma":[0.9993655,0.00009213137,0.000030348108,0.00012944432,0.000312598,0.00006998065],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004147615,0.000793018,0.00049239374,0.0010863406,0.00051819946,0.0033310526,0.00082576525,0.0010302651,0.4083869],"category_scores_gemma":[0.0013253934,0.0004279679,0.00019655694,0.0013007418,0.00019956789,0.0015654975,0.00061068486,0.0007997547,0.35121557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004227943,0.000007762147,0.000096511474,0.000049269696,0.0000036935076,0.000018733366,0.000011822617,0.00008437709,0.00030099685,0.0007206601,0.955355,0.04330895],"study_design_scores_gemma":[0.000005751488,0.0000065364607,0.0005977551,0.000037313544,0.000003048312,0.000025299283,0.000028178583,0.0002660345,0.00028902237,0.00034590327,0.99839103,0.000004231488],"about_ca_topic_score_codex":0.010092049,"about_ca_topic_score_gemma":0.04051441,"teacher_disagreement_score":0.4083869,"about_ca_system_score_codex":0.0006834525,"about_ca_system_score_gemma":0.0005956707,"threshold_uncertainty_score":0.8438643},"labels":[],"label_agreement":null},{"id":"W4296588914","doi":"","title":"An agricultural classification of french western marshland soils based on the relation between sodicity and structural stability","year":2005,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Cégep de Saint-Laurent","funders":"","keywords":"Marsh; Soil water; Agriculture; Relation (database); Soil science; Environmental science; Geology; Earth science; Geography; Ecology; Archaeology; Computer science; Biology; Wetland; Data mining","score_opus":0.02852440146137961,"score_gpt":0.22115966156824335,"score_spread":0.19263526010686374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296588914","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":[0.9966162,0.00023262309,0.000564637,0.000039895614,0.0000035352246,0.000011538427,0.0005327843,0.000013347641,0.0019854347],"genre_scores_gemma":[0.99824643,0.000068858324,0.0006390378,0.000007690839,0.0000024075648,0.000004839698,0.00042164975,0.000003044814,0.0006060487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979943,0.00005075257,0.000018695664,0.0000373639,0.00003549811,0.000058302034],"domain_scores_gemma":[0.99914074,0.00015160764,0.00017873988,0.000048949183,0.0003850897,0.000094771174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004090881,0.00026113255,0.00016425466,0.0037215499,0.00043114278,0.00070720585,0.00017738146,0.00017293164,0.0014030935],"category_scores_gemma":[0.0007190778,0.00006402446,0.00021795841,0.002039669,0.000401985,0.00019510443,0.0002546478,0.00010136145,0.00022121191],"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":[0.0003109235,0.00004358261,0.92794573,0.00006195018,0.00007925913,0.0002244165,0.0012495575,0.0021414452,0.01082857,0.0021735113,0.0010398346,0.053901266],"study_design_scores_gemma":[0.000006023438,0.000043625278,0.9945345,0.000012982328,0.000016694617,0.00006762842,0.0007220457,0.0018030995,0.00048546132,0.0002385411,0.0020618394,0.0000075989237],"about_ca_topic_score_codex":0.16868389,"about_ca_topic_score_gemma":0.25685278,"teacher_disagreement_score":0.16868389,"about_ca_system_score_codex":0.0013569393,"about_ca_system_score_gemma":0.0007781475,"threshold_uncertainty_score":0.3354041},"labels":[],"label_agreement":null},{"id":"W4296750403","doi":"","title":"Literature Review on Background Subtraction Model for Object Detection","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Background subtraction; Computer science; Artificial intelligence; Object (grammar); Subtraction; Object detection; Computer vision; Pattern recognition (psychology); Mathematics; Pixel; Arithmetic","score_opus":0.02673003099844734,"score_gpt":0.23880993680298412,"score_spread":0.21207990580453678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296750403","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":[0.003258814,0.69087076,0.2799162,0.0018979157,0.0025340875,0.00010589838,0.0008147952,0.0024759276,0.018125536],"genre_scores_gemma":[0.042678174,0.7744356,0.1537784,0.0017180594,0.0036051332,0.00019149155,0.0042103278,0.00067475415,0.018708063],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923754,0.0001005165,0.000075081756,0.00024369865,0.00029368827,0.000049431786],"domain_scores_gemma":[0.9986382,0.0005793343,0.00009085889,0.000095690666,0.0005598658,0.00003602479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090894295,0.0016121761,0.0015934372,0.0029700159,0.00051448314,0.0021089963,0.0026598056,0.0017086156,0.007757302],"category_scores_gemma":[0.002177302,0.00067605963,0.0014041142,0.0061128973,0.0004767394,0.0025176,0.0007635993,0.0011789983,0.0058024167],"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":[0.00012364094,0.00006737389,0.00052155013,0.0052405274,0.00014204682,0.00021634388,0.00010162894,0.00932055,0.0034839879,0.008513553,0.046108194,0.92616063],"study_design_scores_gemma":[0.000039655566,0.00016272787,0.0027107582,0.003343315,0.0005122016,0.0017819107,0.0002628779,0.06981254,0.009669426,0.024597395,0.8869057,0.0002014502],"about_ca_topic_score_codex":0.00651061,"about_ca_topic_score_gemma":0.0033656543,"teacher_disagreement_score":0.007757302,"about_ca_system_score_codex":0.00080263335,"about_ca_system_score_gemma":0.0013035783,"threshold_uncertainty_score":0.02595079},"labels":[],"label_agreement":null},{"id":"W4297504207","doi":"10.18280/ts.390410","title":"Remote Sensing Image Information Extraction and Application Based on Improved Pixel Exchange Algorithm","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pixel; Computer science; Image resolution; Remote sensing; Segmentation; Otsu's method; Satellite; Field (mathematics); Artificial intelligence; Computer vision; Algorithm; Image segmentation; Geology; Mathematics; Engineering","score_opus":0.00739821948236413,"score_gpt":0.20384854076201098,"score_spread":0.19645032127964684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297504207","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":[0.015712924,0.0002060482,0.9807748,0.000077311786,0.000043416727,0.00007857166,0.00013733337,0.0013698668,0.0015996672],"genre_scores_gemma":[0.116802685,0.0004751927,0.87698364,0.00009187982,0.00010390408,0.00018308172,0.000878584,0.00019279409,0.0042882212],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945194,0.000049816586,0.000044658023,0.00019341444,0.00021661968,0.000043569475],"domain_scores_gemma":[0.9997125,0.00004569362,0.000026335683,0.00005055793,0.00015201692,0.000012832515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000536027,0.0007741562,0.0008136007,0.0023024576,0.00043955163,0.0008463636,0.00074400625,0.000540077,0.0032245466],"category_scores_gemma":[0.00093758793,0.0004136212,0.0007635946,0.0026366524,0.00029315503,0.0015670708,0.0007559702,0.0005212404,0.0015214151],"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":[0.00017063475,0.00010154253,0.0018256096,0.00020028412,0.0000554341,0.00017746256,0.00012760152,0.029910645,0.099356145,0.0057968395,0.0043524294,0.8579255],"study_design_scores_gemma":[0.00005625055,0.00014858766,0.0065179234,0.000020261268,0.000097450626,0.0005167722,0.00006333087,0.9119577,0.061877172,0.0048878766,0.013805506,0.00005127076],"about_ca_topic_score_codex":0.0016440597,"about_ca_topic_score_gemma":0.0012974592,"teacher_disagreement_score":0.0032245466,"about_ca_system_score_codex":0.00022535292,"about_ca_system_score_gemma":0.000626088,"threshold_uncertainty_score":0.010787189},"labels":[],"label_agreement":null},{"id":"W4297977080","doi":"","title":"Characterization, validation and intercomparison of clumping index maps from POLDER, MODIS, and MISR data","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Index (typography); Environmental science; Remote sensing; Computer science; Geology","score_opus":0.0241843875961516,"score_gpt":0.2218066483172283,"score_spread":0.1976222607210767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297977080","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":[0.9829056,0.00021947245,0.010396719,0.00013278383,0.00006723525,0.00013610937,0.003900193,0.00060811744,0.001633734],"genre_scores_gemma":[0.96987903,0.000085035164,0.021188194,0.000053100794,0.000021601498,0.00008424589,0.008111668,0.00018126289,0.00039591378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901783,0.00017878419,0.00010774363,0.00030143073,0.0002629991,0.00013120122],"domain_scores_gemma":[0.99537224,0.00092423335,0.00048824013,0.0012861437,0.0017351792,0.00019395768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035310173,0.0006314679,0.0004039934,0.0025034917,0.00064088387,0.0017169154,0.00083371083,0.0010055974,0.0005901179],"category_scores_gemma":[0.006168106,0.00026687808,0.0005582479,0.0016048996,0.00045992676,0.0014216872,0.00071089424,0.0005570023,0.0004588862],"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":[0.001821322,0.0012785889,0.5066611,0.0003689373,0.00037533094,0.0004841969,0.0016309869,0.07424456,0.14656338,0.0015557645,0.008112964,0.2569029],"study_design_scores_gemma":[0.00025874205,0.00021118394,0.61080724,0.00010070295,0.00025931996,0.00021006109,0.0007803162,0.3117817,0.066336125,0.00092061854,0.008219634,0.000114210474],"about_ca_topic_score_codex":0.020718742,"about_ca_topic_score_gemma":0.016659431,"teacher_disagreement_score":0.020718742,"about_ca_system_score_codex":0.0008890163,"about_ca_system_score_gemma":0.0010965378,"threshold_uncertainty_score":0.041196287},"labels":[],"label_agreement":null},{"id":"W4299612158","doi":"","title":"Characterization, validation and intercomparison of clumping index maps from POLDER, MODIS, and MISR satellite data over references sites","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Index (typography); Satellite; Environmental science; Remote sensing; Meteorology; Climatology; Computer science; Geography; Geology; Engineering","score_opus":0.04693575499597099,"score_gpt":0.2440288666890132,"score_spread":0.1970931116930422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299612158","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":[0.98465455,0.00017757632,0.008516652,0.00010911756,0.00006357601,0.000118203934,0.0038266936,0.0005572252,0.0019762842],"genre_scores_gemma":[0.9789064,0.00006548279,0.013599635,0.000038562514,0.000017271539,0.00006839396,0.0067456113,0.0001377378,0.00042092678],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927264,0.00010967066,0.0000835881,0.00023397635,0.0001949589,0.00010505926],"domain_scores_gemma":[0.99613357,0.000704606,0.0004644582,0.0009576574,0.0015664146,0.00017330876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002504248,0.0005521449,0.0004037909,0.0023906608,0.00072443014,0.0015604976,0.00081720983,0.000965118,0.0007360339],"category_scores_gemma":[0.0046935068,0.000251816,0.00056883064,0.001664501,0.0004116371,0.0012913942,0.0006736638,0.0005042581,0.0004874009],"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":[0.0015692607,0.0010160648,0.5923657,0.00032611383,0.00033337425,0.00046007137,0.0017533404,0.07227359,0.10950624,0.0011920821,0.0069672097,0.21223707],"study_design_scores_gemma":[0.00020633126,0.00016578296,0.7305678,0.0000924318,0.00022739857,0.00019913621,0.00075925444,0.21474649,0.045355678,0.00064054737,0.0069484524,0.00009081593],"about_ca_topic_score_codex":0.024921577,"about_ca_topic_score_gemma":0.022998253,"teacher_disagreement_score":0.024921577,"about_ca_system_score_codex":0.00077900226,"about_ca_system_score_gemma":0.00090386136,"threshold_uncertainty_score":0.049553037},"labels":[],"label_agreement":null},{"id":"W4299935859","doi":"","title":"Remote Sensing of Soil, special issue of the journal Applied and Environmental Soil Science","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Remote sensing; Soil science; Earth science; Geography; Geology","score_opus":0.010786395890117186,"score_gpt":0.18525805859395308,"score_spread":0.1744716627038359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299935859","genre_codex":"editorial","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":[0.032588556,0.14662904,0.08351526,0.043651205,0.52350414,0.0006492746,0.0270192,0.007963559,0.13447979],"genre_scores_gemma":[0.0641655,0.07153937,0.03914482,0.004594668,0.19500943,0.00027618662,0.050450105,0.00793297,0.5668869],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991387,0.00008972352,0.00008664091,0.00020485395,0.00041261682,0.00006753782],"domain_scores_gemma":[0.9965019,0.00075785676,0.00018750668,0.0005832447,0.0014527313,0.0005168514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018642703,0.0013548027,0.0020468885,0.0031162836,0.00056521967,0.0034421827,0.0014829526,0.001374284,0.05952286],"category_scores_gemma":[0.0034265916,0.0005386611,0.00087111164,0.0026291232,0.00078557833,0.0020493134,0.0011582721,0.0014404998,0.01836503],"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":[0.00016451454,0.00016942805,0.0014274576,0.00064844434,0.00012409282,0.000134852,0.00004074223,0.0009629822,0.0057142233,0.0027156034,0.81696784,0.17092983],"study_design_scores_gemma":[0.000039266113,0.00008089605,0.0074027716,0.00009150217,0.000059458747,0.00032693893,0.00007617614,0.0033059632,0.0033888188,0.0045892606,0.9806159,0.000023062299],"about_ca_topic_score_codex":0.0025122054,"about_ca_topic_score_gemma":0.0053830664,"teacher_disagreement_score":0.05952286,"about_ca_system_score_codex":0.00073557394,"about_ca_system_score_gemma":0.0019713233,"threshold_uncertainty_score":0.1991238},"labels":[],"label_agreement":null},{"id":"W4301480362","doi":"10.1080/07038992.2022.2103397","title":"A Method for Fully Automatic Building Footprint Extraction From Remote Sensing Images","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Footprint; Orientation (vector space); Computer science; Artificial intelligence; Deep learning; Computer vision; Ecological footprint; Segmentation; Geography; Sustainable development","score_opus":0.020812949652322953,"score_gpt":0.2590915747179829,"score_spread":0.23827862506565994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301480362","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042783474,0.0002736187,0.9908227,0.00007991789,0.000093326795,0.000068643,0.000279088,0.0031408735,0.0009635085],"genre_scores_gemma":[0.053426974,0.0004789811,0.938229,0.00013245516,0.00011756932,0.00014843725,0.0014765669,0.00043467394,0.005555396],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945205,0.00003506359,0.000031203755,0.00016099942,0.0002586163,0.00006200827],"domain_scores_gemma":[0.9997154,0.00004988877,0.000031150597,0.00006363576,0.000118703596,0.000021316673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039500938,0.001144487,0.0008927746,0.002011208,0.00045950455,0.00083663705,0.0011710414,0.0010227598,0.0030118006],"category_scores_gemma":[0.0007724811,0.0007189791,0.0013748012,0.0014124169,0.00047799278,0.0011032703,0.0010371548,0.0011557076,0.003070091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095050484,0.00006155648,0.00087200984,0.00020354606,0.00009168977,0.00019155076,0.00007243318,0.01798248,0.06422845,0.0029389525,0.011620519,0.90164167],"study_design_scores_gemma":[0.000035936733,0.00009598275,0.004419409,0.000057225607,0.00008506009,0.0012390225,0.000075484575,0.8871268,0.065343305,0.007201622,0.0342172,0.00010292085],"about_ca_topic_score_codex":0.0042271856,"about_ca_topic_score_gemma":0.008378104,"teacher_disagreement_score":0.0042271856,"about_ca_system_score_codex":0.00032595344,"about_ca_system_score_gemma":0.00096771825,"threshold_uncertainty_score":0.01007545},"labels":[],"label_agreement":null},{"id":"W4310930961","doi":"10.5281/zenodo.7411344","title":"Stellar Reddening Based Extinction Maps for Cosmological Applications","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Douglas College","funders":"","keywords":"Extinction (optical mineralogy); Astronomy; Physics; Astrophysics; Optics","score_opus":0.03867572668871222,"score_gpt":0.2232104807986099,"score_spread":0.18453475410989767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310930961","genre_codex":"dataset","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":[0.015960626,0.0007375023,0.25718227,0.00040224343,0.00035048433,0.00025798916,0.43738744,0.23888075,0.048840657],"genre_scores_gemma":[0.10222818,0.0008446576,0.43034595,0.0002381695,0.00023660403,0.00075726217,0.37158597,0.07100863,0.022754632],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995453,0.000053915344,0.000023946062,0.00014555533,0.00018746314,0.00004388942],"domain_scores_gemma":[0.9989667,0.00026660634,0.00010878315,0.00028387486,0.00029029485,0.00008374848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011334621,0.0014509803,0.00095293776,0.0041911304,0.0008220279,0.002436232,0.0023069966,0.00066445046,0.1680777],"category_scores_gemma":[0.0060830754,0.0010637757,0.0012824936,0.004934514,0.00016458907,0.002134501,0.0026728206,0.0015968067,0.052707426],"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":[0.0003407842,0.0001765149,0.016393483,0.0011525893,0.00040154153,0.00042175263,0.0007617198,0.0120207295,0.006199815,0.02551192,0.7311525,0.20546669],"study_design_scores_gemma":[0.00017140992,0.000071039816,0.043774482,0.00030866617,0.00016267596,0.0006243201,0.00041060318,0.06345957,0.009351104,0.05242716,0.82903934,0.00019961971],"about_ca_topic_score_codex":0.006959046,"about_ca_topic_score_gemma":0.009936395,"teacher_disagreement_score":0.1680777,"about_ca_system_score_codex":0.0005779438,"about_ca_system_score_gemma":0.00057621265,"threshold_uncertainty_score":0.56227595},"labels":[],"label_agreement":null},{"id":"W4311566355","doi":"10.21203/rs.3.rs-2380302/v1","title":"MVRLR: Multiple Perspectives Feature Representation Based on Low-rank Representation Learning for Short Video","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Overfitting; Feature learning; Representation (politics); Feature (linguistics); The Internet; Artificial intelligence; Multilinear map; Machine learning; Theoretical computer science; Multimedia; Artificial neural network; World Wide Web; Mathematics","score_opus":0.07201664619459207,"score_gpt":0.3779301794771304,"score_spread":0.30591353328253834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311566355","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":[0.014082486,0.00060207496,0.9833266,0.00030507924,0.0000743329,0.000045189616,0.0002033018,0.00074843393,0.00061249547],"genre_scores_gemma":[0.6240054,0.0012867758,0.36324912,0.0005963077,0.00043297536,0.00026975299,0.0025007566,0.00031429075,0.007344544],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988771,0.00031473784,0.00004851915,0.00038147767,0.00025903387,0.00011925168],"domain_scores_gemma":[0.9988193,0.00043268298,0.00019712503,0.00018692244,0.00028390065,0.00008007144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011486674,0.0012824624,0.0014764724,0.0011499242,0.00036584714,0.0011721026,0.0016657369,0.0013157442,0.0030611574],"category_scores_gemma":[0.0037916917,0.00037095996,0.0013594752,0.0015400111,0.0006485583,0.0022379286,0.0013037359,0.0025315399,0.0013542572],"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":[0.00041044434,0.00037505376,0.0018230694,0.0002612005,0.00019145593,0.00023227512,0.00016366692,0.34115806,0.016869208,0.012251312,0.012769346,0.6134948],"study_design_scores_gemma":[0.0000052760565,0.00003885576,0.00017581429,0.000007222388,0.0000081800035,0.000024621273,0.000009123844,0.99617237,0.0009546928,0.0021480303,0.00044619225,0.000009679567],"about_ca_topic_score_codex":0.0044841594,"about_ca_topic_score_gemma":0.0032581417,"teacher_disagreement_score":0.0044841594,"about_ca_system_score_codex":0.00063658063,"about_ca_system_score_gemma":0.0006205116,"threshold_uncertainty_score":0.010240555},"labels":[],"label_agreement":null},{"id":"W4312530828","doi":"10.2139/ssrn.4268986","title":"Regional Characteristics and Spatial Correlation of Haze Pollution: Interpretative System Analysis in Cities of Fenwei Plain in China","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Haze; China; Geography; Pollution; Spatial correlation; Environmental science; Physical geography; Climatology; Geology; Meteorology; Archaeology; Statistics; Mathematics; Ecology","score_opus":0.0049098491250342295,"score_gpt":0.19050375386071017,"score_spread":0.18559390473567594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312530828","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":[0.99958295,0.00002702063,0.00007265208,0.000017160015,0.0000010357433,0.0000028291154,0.0001451314,0.0000036222912,0.00014757345],"genre_scores_gemma":[0.99965775,0.000011733991,0.000049257003,0.0000024974202,0.000001552376,0.000002804649,0.00018715144,8.243656e-7,0.00008634451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955624,0.000064549844,0.00004992528,0.0001516746,0.000078048666,0.000099522054],"domain_scores_gemma":[0.9994456,0.00011953995,0.00014305435,0.000053802727,0.0001432691,0.000094716685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061843626,0.00033293484,0.0004223422,0.002391476,0.0007175988,0.0009373445,0.0005203181,0.00031303006,0.0006600391],"category_scores_gemma":[0.0007424997,0.00030973164,0.00067364494,0.0028056896,0.0005406227,0.0004601037,0.00068992545,0.00020455157,0.0000735959],"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":[0.00004843449,0.000027828391,0.9949693,0.000014733698,0.00009253688,0.00011568997,0.00069933187,0.0006382887,0.0008540322,0.00014365098,0.000103391474,0.002292798],"study_design_scores_gemma":[0.0000017830724,0.0000072074768,0.9979342,0.0000017036896,0.000023793376,0.000018832094,0.0006853231,0.001163289,0.000058446385,0.000038193204,0.000062742096,0.000004511339],"about_ca_topic_score_codex":0.13734151,"about_ca_topic_score_gemma":0.13528875,"teacher_disagreement_score":0.13734151,"about_ca_system_score_codex":0.001535298,"about_ca_system_score_gemma":0.0015699511,"threshold_uncertainty_score":0.27308416},"labels":[],"label_agreement":null},{"id":"W4312791959","doi":"10.1130/abs/2022am-383548","title":"HOW CAN WE HELP? USING SATELLITE IMAGERY TO ASSIST COMMUNITIES IN THE AFTERMATH OF NATURAL HAZARDS: A CASE STUDY OF THE 2021 HAITI NIPPES EARTHQUAKE AND TROPICAL STORM GRACE","year":2022,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Natural hazard; Storm; Tropical cyclone; Natural disaster; Satellite imagery; Satellite; Natural (archaeology); Meteorology; Remote sensing; Geology; Computer science; Environmental science; Geography; Engineering","score_opus":0.025972879851221094,"score_gpt":0.23383604698046337,"score_spread":0.20786316712924227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312791959","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":[0.6944436,0.0018045959,0.004390096,0.18531184,0.000464242,0.00058710796,0.00042939055,0.00031586297,0.11225318],"genre_scores_gemma":[0.9810286,0.0016866759,0.0066257385,0.0043122135,0.0000710823,0.00013719492,0.00013000952,0.000047388698,0.00596109],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972324,0.001578667,0.00004168953,0.00010686125,0.00024969838,0.0007907183],"domain_scores_gemma":[0.99586654,0.0016852029,0.00035395226,0.0002637358,0.0007431639,0.001087529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003743521,0.00043614645,0.00023231572,0.0009892649,0.007909461,0.004129291,0.0019007898,0.0042270347,0.005857536],"category_scores_gemma":[0.0098161,0.00031392937,0.00036546928,0.0014096958,0.0030915798,0.0056663044,0.0046082903,0.0022446765,0.00100624],"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":[0.00023449611,0.0032903454,0.10393804,0.0008970978,0.00015351597,0.012188748,0.30865473,0.0026817473,0.002994077,0.01203046,0.09756645,0.45537043],"study_design_scores_gemma":[0.00006877176,0.00036487487,0.02189764,0.00069862657,0.00006867018,0.0011516142,0.84626395,0.0023577872,0.00064692926,0.005992982,0.12042396,0.00006425559],"about_ca_topic_score_codex":0.062249195,"about_ca_topic_score_gemma":0.17304572,"teacher_disagreement_score":0.062249195,"about_ca_system_score_codex":0.0017974926,"about_ca_system_score_gemma":0.007989692,"threshold_uncertainty_score":0.123773694},"labels":[],"label_agreement":null},{"id":"W4312892643","doi":"10.1130/abs/2022am-383749","title":"RESTORING THE DUNES: USING SATELLITE IMAGERY TO HELP RESTORE TURTLE NESTING GROUNDS IN PUERTO RICO AFTER HURRICANE MARIA","year":2022,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Nesting (process); Satellite imagery; Turtle (robot); Satellite; Geography; Remote sensing; Environmental science; Ecology; Engineering; Biology","score_opus":0.026704180598161015,"score_gpt":0.23668765851320941,"score_spread":0.2099834779150484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312892643","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":[0.99630034,0.00021492231,0.0002505974,0.000556165,0.000022404667,0.000046608755,0.00080949324,0.000058337006,0.001741007],"genre_scores_gemma":[0.9956857,0.00026739246,0.0021938344,0.00009301632,0.000013512354,0.00003994711,0.00069684844,0.000015282269,0.0009944537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993944,0.000012367606,0.0000041213107,0.0000100110665,0.000013200362,0.000020789912],"domain_scores_gemma":[0.99972135,0.000043573655,0.000073042735,0.000029060517,0.000089127076,0.000043822318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002275173,0.00022179374,0.00013837728,0.0006317938,0.000397941,0.00042126136,0.00046871864,0.00033560727,0.00079568935],"category_scores_gemma":[0.0011009502,0.00011506365,0.00015219272,0.0005867645,0.00016227295,0.00028518765,0.00038761192,0.0002496004,0.00015523765],"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":[0.000446939,0.00038601222,0.81700456,0.0003070863,0.00023520428,0.002083996,0.005112115,0.008332277,0.01484583,0.00020005339,0.01268325,0.1383627],"study_design_scores_gemma":[0.00003600679,0.00004630198,0.96851987,0.00006959055,0.00010189142,0.000093575036,0.009709103,0.014913231,0.0009779935,0.000090685826,0.005425357,0.000016463726],"about_ca_topic_score_codex":0.27063295,"about_ca_topic_score_gemma":0.57379127,"teacher_disagreement_score":0.27063295,"about_ca_system_score_codex":0.000719568,"about_ca_system_score_gemma":0.00078242115,"threshold_uncertainty_score":0.5381154},"labels":[],"label_agreement":null},{"id":"W4313004348","doi":"10.34028/iajit/20/1/2","title":"On Satellite Imagery of Land Cover Classification for Agricultural Development","year":2022,"lang":"en","type":"article","venue":"The International Arab Journal of Information Technology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"University of Victoria","funders":"","keywords":"Land cover; Computer science; Cluster analysis; Remote sensing; Satellite imagery; Fuzzy logic; Vegetation (pathology); Land use; Satellite; Fuzzy clustering; Segmentation; Cover (algebra); Geography; Artificial intelligence; Ecology","score_opus":0.011161605115426406,"score_gpt":0.20542338106648553,"score_spread":0.19426177595105912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313004348","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":[0.77384055,0.0020077873,0.18367709,0.00063500064,0.00023316691,0.00078361545,0.0097875595,0.0024655592,0.026569655],"genre_scores_gemma":[0.83080167,0.0008164555,0.15278219,0.00010197498,0.00004312707,0.00013414654,0.0096194595,0.000053080254,0.005647877],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997726,0.000035178753,0.00001408273,0.000049917424,0.000106045394,0.000022159003],"domain_scores_gemma":[0.9998271,0.000018824874,0.000027341304,0.000025582765,0.00008868871,0.00001260841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002243907,0.00041698036,0.0002166275,0.0020847507,0.00031410268,0.0005486973,0.00023119344,0.00029702618,0.0013289757],"category_scores_gemma":[0.00057398796,0.000089623005,0.00033324957,0.0024635354,0.00015616049,0.0003336326,0.00021272563,0.00021604149,0.0007864839],"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":[0.00032623424,0.00022341388,0.03845321,0.00040626185,0.00014627729,0.00034665575,0.0003647707,0.03333861,0.068600416,0.0022150355,0.011690588,0.8438886],"study_design_scores_gemma":[0.000030402884,0.00032055136,0.37955076,0.00016418833,0.000209931,0.00091726286,0.0018072013,0.52110803,0.059845615,0.0036058193,0.032364506,0.00007573251],"about_ca_topic_score_codex":0.016792038,"about_ca_topic_score_gemma":0.027689368,"teacher_disagreement_score":0.016792038,"about_ca_system_score_codex":0.0004128131,"about_ca_system_score_gemma":0.00044799922,"threshold_uncertainty_score":0.033388555},"labels":[],"label_agreement":null},{"id":"W4313342363","doi":"10.1007/978-3-031-15733-2_6","title":"Scale as Rank","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Granularity; Rank (graph theory); Scale (ratio); Objectivity (philosophy); Computer science; Mathematics; Statistics; Epistemology; Cartography; Geography; Philosophy; Combinatorics","score_opus":0.013215419560411947,"score_gpt":0.18906564434661421,"score_spread":0.17585022478620227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313342363","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009696313,0.002884185,0.03497086,0.0026773268,0.0009305717,0.000039185572,0.00051420735,0.0006813076,0.9563327],"genre_scores_gemma":[0.06932935,0.004338381,0.023877932,0.0014048737,0.0011256763,0.00017467176,0.00070979056,0.0010858523,0.8979534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993123,0.00013974599,0.000035614583,0.00017175268,0.00027608633,0.00006446047],"domain_scores_gemma":[0.99928325,0.00022157424,0.00004154606,0.00021390639,0.00017602358,0.000063688494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006651807,0.0010113679,0.00054368284,0.0014945428,0.0013122738,0.00569231,0.0009239462,0.000871467,0.09591249],"category_scores_gemma":[0.0035322842,0.00035252798,0.0002786979,0.0021600297,0.003746561,0.00992466,0.0020897484,0.0019512939,0.041992813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009093655,0.0000053068825,0.0000546845,0.000044325043,0.0000022753309,0.000011943037,0.0001420207,0.0002334141,0.00016300124,0.87960935,0.061156195,0.058568306],"study_design_scores_gemma":[0.0000038411195,0.000007967057,0.00013219788,0.000029382727,0.000003143233,0.000071595,0.00012637021,0.0004452814,0.00016971728,0.46973535,0.52926713,0.000007953385],"about_ca_topic_score_codex":0.0025078715,"about_ca_topic_score_gemma":0.0041109133,"teacher_disagreement_score":0.09591249,"about_ca_system_score_codex":0.0015057118,"about_ca_system_score_gemma":0.0007555219,"threshold_uncertainty_score":0.32085925},"labels":[],"label_agreement":null},{"id":"W4316464075","doi":"10.18280/ts.390603","title":"A Road Extraction Method of a High-Resolution Remote Sensing Image Based on Multi-Feature Fusion and the Attention Mechanism","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Feature extraction; Fusion; Artificial intelligence; Computer science; Computer vision; Extraction (chemistry); Pattern recognition (psychology); Image fusion; Image (mathematics); Feature (linguistics); Mechanism (biology); Sensor fusion; Remote sensing; Data mining; Geology; Chemistry; Chromatography; Physics","score_opus":0.014845319187863689,"score_gpt":0.23833049377645077,"score_spread":0.22348517458858708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316464075","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":[0.019255761,0.000295223,0.97786,0.00009208825,0.00006512348,0.00005603885,0.0000838521,0.000887542,0.0014044078],"genre_scores_gemma":[0.5077538,0.0006506162,0.48259863,0.0001944951,0.0001538514,0.00012084852,0.0007056636,0.00016224271,0.0076598614],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995435,0.00003679345,0.000024983816,0.00017486358,0.00014130949,0.00007849217],"domain_scores_gemma":[0.99972755,0.0000457974,0.000033766377,0.000046633915,0.00012567271,0.000020558871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005771979,0.000948436,0.00092784857,0.0017416136,0.00038358037,0.0007376457,0.0012137648,0.00096310914,0.0015890365],"category_scores_gemma":[0.0008996809,0.000498528,0.001194342,0.0012356073,0.0003750181,0.001936326,0.001084353,0.0009460466,0.0007664319],"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":[0.00021457115,0.00016718739,0.0028335345,0.00023553154,0.00014946489,0.00027990824,0.00013549917,0.06606782,0.096066765,0.0036237207,0.0032944314,0.82693166],"study_design_scores_gemma":[0.000016314514,0.00008771219,0.0033109768,0.000014569511,0.0000879588,0.0003192888,0.00004213955,0.9531118,0.038630664,0.0020657678,0.0022757899,0.00003685368],"about_ca_topic_score_codex":0.004478837,"about_ca_topic_score_gemma":0.0048937397,"teacher_disagreement_score":0.004478837,"about_ca_system_score_codex":0.0004408512,"about_ca_system_score_gemma":0.0007307119,"threshold_uncertainty_score":0.00890553},"labels":[],"label_agreement":null},{"id":"W4318426905","doi":"10.5539/ach.v15n1p11","title":"The Rise of Zhou and Qin Dynasties and the Change of the Position of the Qian Diagram in the Eight Diagrams","year":2023,"lang":"en","type":"article","venue":"Asian Culture and History","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Heaven; China; Ancient history; History; Position (finance); History of China; Period (music); Diagram; Ethnic group; Empire; Geography; Demography; Archaeology; Art; Sociology; Anthropology; Aesthetics; Mathematics","score_opus":0.01133972199407103,"score_gpt":0.17609707736143246,"score_spread":0.16475735536736144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318426905","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":[0.6790912,0.0039090756,0.021702386,0.006224076,0.0009025356,0.00011171649,0.00079426315,0.00027778308,0.28698698],"genre_scores_gemma":[0.95771384,0.0007032714,0.0034639016,0.0001300595,0.00004161799,0.00003117055,0.00019799655,0.000035729237,0.037682306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99971133,0.000084472915,0.000020313113,0.000056888533,0.000058845806,0.00006818296],"domain_scores_gemma":[0.99971825,0.000055854925,0.000044058987,0.00002224779,0.000095702846,0.0000637865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005177142,0.00020860425,0.000114440154,0.0010292213,0.00203421,0.0014672512,0.00021631457,0.00019278789,0.005320312],"category_scores_gemma":[0.0009095013,0.000107814296,0.00012899912,0.0014128771,0.0014608421,0.0010279955,0.0006611156,0.000679565,0.00028012015],"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":[0.0002009075,0.000024861165,0.036132604,0.00030503562,0.00003353239,0.0007688549,0.059811655,0.0010750815,0.0029841186,0.7468719,0.016004845,0.13578653],"study_design_scores_gemma":[0.00003883459,0.00012531261,0.07004767,0.00016016727,0.000054473065,0.0006970738,0.01949453,0.002081467,0.0031361876,0.06470553,0.8393907,0.00006809049],"about_ca_topic_score_codex":0.016909745,"about_ca_topic_score_gemma":0.027741008,"teacher_disagreement_score":0.016909745,"about_ca_system_score_codex":0.0021568288,"about_ca_system_score_gemma":0.0022268116,"threshold_uncertainty_score":0.033622622},"labels":[],"label_agreement":null},{"id":"W4319997895","doi":"10.2139/ssrn.4348379","title":"Evolution of the Local Climate in Montreal and Ottawa Before, During and after a Heatwave and the Effects on Urban Heat Islands","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; National Research Council Canada","funders":"","keywords":"Urban heat island; Geography; Climate change; Climatology; Extreme heat; Urban climate; Environmental science; Urbanization; Meteorology; Economics; Economic growth; Oceanography","score_opus":0.0016906431852706494,"score_gpt":0.16671324771237186,"score_spread":0.1650226045271012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319997895","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":[0.99710625,0.0001273863,0.000030088078,0.00011209567,0.0000056516087,0.0000062972717,0.0010763217,0.000007728253,0.0015281605],"genre_scores_gemma":[0.9985519,0.00005679303,0.000032199157,0.000013904384,0.0000027521535,0.0000042452148,0.00038262233,0.0000029633547,0.00095260306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987984,0.000015439315,0.0000038444728,0.000024406969,0.0000148198915,0.00006171794],"domain_scores_gemma":[0.99945515,0.000059566344,0.00007981552,0.000017942959,0.00017612353,0.00021137546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020468874,0.00019926709,0.00018508575,0.0009128567,0.0010582161,0.0012156825,0.0005427695,0.00037519497,0.0040440597],"category_scores_gemma":[0.0007551105,0.00016277505,0.0003864272,0.001291898,0.0006928979,0.00029760838,0.0006219871,0.0003205607,0.00024317928],"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":[0.0004698702,0.00004862716,0.98439085,0.00003817725,0.00016487925,0.00019785076,0.001881642,0.0023989778,0.003414788,0.00043290333,0.0015267879,0.0050345478],"study_design_scores_gemma":[0.0000020301068,0.000006824958,0.99893993,0.000002727632,0.000008253837,0.0000062794043,0.0004849648,0.00018452122,0.0000450779,0.0000057707193,0.00030885756,0.0000047637977],"about_ca_topic_score_codex":0.962304,"about_ca_topic_score_gemma":0.9823513,"teacher_disagreement_score":0.037696004,"about_ca_system_score_codex":0.009917401,"about_ca_system_score_gemma":0.0043395665,"threshold_uncertainty_score":0.07583594},"labels":[],"label_agreement":null},{"id":"W4353100309","doi":"10.18280/ts.400111","title":"Prediction of Vegetation Change by Discrete Wavelet Decomposition Based on Remote Sensing Time Series Images","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Hunan Province","keywords":"Remote sensing; Series (stratigraphy); Vegetation (pathology); Wavelet; Decomposition; Change detection; Time series; Discrete wavelet transform; Computer science; Wavelet transform; Environmental science; Artificial intelligence; Pattern recognition (psychology); Geology; Machine learning","score_opus":0.020261925055116644,"score_gpt":0.22137205670270324,"score_spread":0.2011101316475866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353100309","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":[0.7526309,0.00019833265,0.24497892,0.00013736608,0.00007098735,0.00003417115,0.00032861758,0.00034117466,0.0012794753],"genre_scores_gemma":[0.9785711,0.00014309262,0.020343373,0.000008898368,0.000011894962,0.000014103997,0.00032080658,0.000014789604,0.0005718508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99988604,0.000016704384,0.0000069237713,0.000034744142,0.00003726713,0.000018273187],"domain_scores_gemma":[0.99986255,0.000049587816,0.00002532698,0.0000131073875,0.00003784691,0.000011508065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030596435,0.0003902389,0.0002126127,0.0009816446,0.00011503216,0.00034119954,0.00021127913,0.00023614077,0.0004035133],"category_scores_gemma":[0.00083440106,0.00012367635,0.00041538625,0.00080089335,0.00013027743,0.0005374749,0.00015926338,0.0003763278,0.00011696283],"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":[0.00034109654,0.00029345,0.051488854,0.00010318525,0.00012466594,0.00031159841,0.00017218424,0.6072125,0.03977923,0.0024960143,0.0017060683,0.2959712],"study_design_scores_gemma":[0.0000027115223,0.000014601732,0.007232364,0.000002215899,0.000006239669,0.00000905321,0.000018539808,0.9909106,0.0014462817,0.0002495331,0.00010392062,0.000003869288],"about_ca_topic_score_codex":0.006998939,"about_ca_topic_score_gemma":0.0038335212,"teacher_disagreement_score":0.006998939,"about_ca_system_score_codex":0.00022347622,"about_ca_system_score_gemma":0.00024685365,"threshold_uncertainty_score":0.013916373},"labels":[],"label_agreement":null},{"id":"W4353100317","doi":"10.18280/ts.400115","title":"Calibration Method of Feature Point Layout in Prefabricated Buildings Based on Image Recognition Technology","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Point (geometry); Feature extraction; Calibration; Artificial intelligence; Computer science; Image (mathematics); Computer vision; Pattern recognition (psychology); Feature recognition; Feature detection (computer vision); Image processing; Mathematics","score_opus":0.018087102188712036,"score_gpt":0.24131696364347313,"score_spread":0.2232298614547611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353100317","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":[0.013458003,0.00009555976,0.98476833,0.000039697377,0.0000202254,0.000023963343,0.000034175653,0.0006349551,0.0009251301],"genre_scores_gemma":[0.434514,0.00052697654,0.5605471,0.00008049146,0.000039076283,0.000077783436,0.00036054372,0.00015915453,0.003694937],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995814,0.000036520454,0.000018280132,0.00015070515,0.0001780487,0.00003508927],"domain_scores_gemma":[0.9997619,0.000032694425,0.000033170545,0.000051602157,0.00011121146,0.0000094494935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029892815,0.0005117506,0.0003917644,0.00081869937,0.00023976686,0.0005066828,0.0007659197,0.0004945415,0.0018704294],"category_scores_gemma":[0.0008820019,0.00034493097,0.00050182536,0.00094388495,0.0003753046,0.00133087,0.0005096486,0.0006727441,0.0007737815],"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":[0.00010192787,0.000042514384,0.003500822,0.00016028993,0.000041179683,0.00016339043,0.00022526793,0.07139251,0.14966252,0.0061129504,0.0018866742,0.76670986],"study_design_scores_gemma":[0.000021873218,0.0001163701,0.00867054,0.000026038011,0.00004791042,0.0006582116,0.00009205378,0.85540164,0.12163218,0.0039891405,0.009279346,0.00006475705],"about_ca_topic_score_codex":0.0025024014,"about_ca_topic_score_gemma":0.002218394,"teacher_disagreement_score":0.0025024014,"about_ca_system_score_codex":0.00044834017,"about_ca_system_score_gemma":0.00048650807,"threshold_uncertainty_score":0.0062571764},"labels":[],"label_agreement":null},{"id":"W4367171767","doi":"10.18280/mmep.100214","title":"Intelligent Directional Survey Data Analysis to Improve Directional Data Acquisition","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data acquisition; Computer science; Survey data collection; Data analysis; Data science; Data mining; Statistics; Mathematics","score_opus":0.09333513236918682,"score_gpt":0.25923002290033,"score_spread":0.16589489053114315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367171767","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":[0.11155341,0.00076896744,0.8574924,0.00052412425,0.0002565537,0.00027487837,0.009791977,0.0122318035,0.0071059223],"genre_scores_gemma":[0.47955123,0.0006136263,0.4960144,0.00024065914,0.00008381668,0.00027893303,0.01719831,0.0002420503,0.00577707],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994954,0.000059950467,0.00004702901,0.00015141968,0.00018001004,0.00006613711],"domain_scores_gemma":[0.99928373,0.000069086054,0.00006503627,0.00013428056,0.00042176704,0.000026028718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042756586,0.00059556623,0.0005658754,0.0013017445,0.0002041278,0.0007148321,0.0006657988,0.0004675544,0.002461843],"category_scores_gemma":[0.0013791367,0.00022565633,0.00051606784,0.0018069786,0.00011757326,0.0008737015,0.0006483736,0.0005014099,0.0024158335],"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":[0.0003578581,0.00021994287,0.026163984,0.00043079935,0.00008261453,0.00031512455,0.00022528305,0.038640887,0.06776049,0.0018086254,0.023387589,0.8406068],"study_design_scores_gemma":[0.000029521687,0.00021883418,0.03903558,0.000065431916,0.0000648021,0.00038311334,0.00055156165,0.8608842,0.054053243,0.003302338,0.041347634,0.00006379744],"about_ca_topic_score_codex":0.003824747,"about_ca_topic_score_gemma":0.005865836,"teacher_disagreement_score":0.003824747,"about_ca_system_score_codex":0.00024398517,"about_ca_system_score_gemma":0.0005990641,"threshold_uncertainty_score":0.008235693},"labels":[],"label_agreement":null},{"id":"W4376632041","doi":"10.56588/iabcd.v2i1.166","title":"A REVIEW ON CARBON SEQUESTRATION (NON-DESTRUCTIVE METHOD) IN URBAN ECOSYSTEM","year":2023,"lang":"en","type":"review","venue":"International Association of Biologicals and Computational Digest","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":"Impact","funders":"","keywords":"Environmental science; Carbon sequestration; Carbon sink; Biogeochemical cycle; Greenhouse gas; Carbon cycle; Vegetation (pathology); Biosphere; Urbanization; Ecosystem; Climate change; Urban ecosystem; Biomass (ecology); Global warming; Ecology; Environmental protection; Carbon dioxide","score_opus":0.04758621422976007,"score_gpt":0.33197964934507446,"score_spread":0.2843934351153144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376632041","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":[0.00045082954,0.9934615,0.0020628064,0.0002302534,0.00032662688,0.000020794709,0.000104713596,0.000027187449,0.0033151684],"genre_scores_gemma":[0.0043382715,0.99011785,0.002724642,0.00024990435,0.00032467677,0.000051402985,0.000119741875,0.000013293124,0.0020601766],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995521,0.000075605276,0.000048738984,0.00010990353,0.00018792122,0.000025737707],"domain_scores_gemma":[0.999438,0.00029999967,0.00007531888,0.000023175864,0.0001463803,0.00001714912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000757803,0.0010448975,0.0014721026,0.0030179538,0.00032818195,0.0011068607,0.0011446619,0.0010066484,0.005182952],"category_scores_gemma":[0.00065531087,0.0003991043,0.0008944683,0.004175333,0.00048796643,0.0017443257,0.0004680672,0.00079968455,0.0022808935],"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":[0.000061025763,0.00008806334,0.0006887157,0.027716892,0.0001435309,0.00022811221,0.00007268147,0.0012448395,0.0062906784,0.0048470795,0.023908747,0.93470955],"study_design_scores_gemma":[0.000010564794,0.00016435084,0.0031460049,0.005030062,0.00026604265,0.001321422,0.000125321,0.00080338004,0.004881439,0.0031900802,0.9809872,0.0000741265],"about_ca_topic_score_codex":0.002138375,"about_ca_topic_score_gemma":0.0026361395,"teacher_disagreement_score":0.005182952,"about_ca_system_score_codex":0.0006185047,"about_ca_system_score_gemma":0.00090319285,"threshold_uncertainty_score":0.017338693},"labels":[],"label_agreement":null},{"id":"W4377832619","doi":"10.18280/ts.400226","title":"Exploiting JECAM Database for Agriculture Land Cover Classification of Antsirabe Site Using Sentinel 2 Imagery with Deep Learning","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Land cover; Cover (algebra); Agriculture; Remote sensing; Environmental science; Computer science; Geography; Artificial intelligence; Land use; Archaeology; Engineering; Ecology; Biology","score_opus":0.03655212609972683,"score_gpt":0.23472945048482083,"score_spread":0.198177324385094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377832619","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":[0.6308129,0.0030997426,0.041357033,0.0012246154,0.0008746232,0.0004890414,0.27214122,0.025853608,0.024147242],"genre_scores_gemma":[0.48294884,0.0010401696,0.06083407,0.00041989915,0.000100371326,0.00030077287,0.44387263,0.0007382832,0.009744967],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996892,0.000017791011,0.000020952823,0.00011505154,0.00008401127,0.00007295491],"domain_scores_gemma":[0.9998411,0.000016015725,0.000015430489,0.00003233402,0.000073699746,0.000021436805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021222627,0.0010332603,0.00047056662,0.0019758155,0.0002925394,0.000702164,0.000856888,0.00068755326,0.0029519997],"category_scores_gemma":[0.00047273454,0.0002761953,0.0008100754,0.0012764831,0.00020005523,0.0006775809,0.0005544025,0.0007542719,0.003040466],"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":[0.00085372786,0.0016799814,0.09407399,0.0013694594,0.0007498289,0.0022973884,0.00055360934,0.07519992,0.056020964,0.0012820709,0.3443738,0.4215454],"study_design_scores_gemma":[0.00021735832,0.00038801628,0.22182555,0.00035709876,0.0002667415,0.0008159554,0.0017277714,0.5771324,0.037784517,0.002748775,0.15650415,0.00023163525],"about_ca_topic_score_codex":0.030183597,"about_ca_topic_score_gemma":0.06014259,"teacher_disagreement_score":0.030183597,"about_ca_system_score_codex":0.00044756517,"about_ca_system_score_gemma":0.00053538545,"threshold_uncertainty_score":0.060015798},"labels":[],"label_agreement":null},{"id":"W4381199249","doi":"10.2139/ssrn.4484998","title":"Application of Change Detection to the Analysis of Erosion Processes in an Urban Environment, Hamilton, Ontario, Canada","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Natural Resources Canada","funders":"","keywords":"Erosion; Environmental planning; Geography; Environmental science; Environmental resource management; Geology; Geomorphology","score_opus":0.02237049007612103,"score_gpt":0.21479312264556905,"score_spread":0.19242263256944803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381199249","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":[0.886753,0.004134968,0.047544707,0.0017129685,0.00011101962,0.0005359212,0.009803808,0.0010195562,0.048384037],"genre_scores_gemma":[0.9373684,0.0019969982,0.03896168,0.00007021414,0.000014467248,0.000053653963,0.0021715946,0.00009447534,0.019268623],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996989,0.000026400756,0.000015798836,0.000059808586,0.00013325788,0.00006586918],"domain_scores_gemma":[0.99947757,0.00010757283,0.000023814931,0.000021640377,0.000330355,0.00003896855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043480168,0.00032897983,0.00031316292,0.0013699803,0.0015267876,0.001589393,0.0005610208,0.00026011624,0.0028773795],"category_scores_gemma":[0.0013907282,0.0002278905,0.00027810733,0.0038144577,0.00061817735,0.00026181038,0.0004774855,0.0002672725,0.00028925488],"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":[0.00042460175,0.00019311954,0.31879786,0.0005020649,0.00023458847,0.0008706602,0.00189083,0.08448247,0.015191771,0.0058414885,0.016527059,0.5550436],"study_design_scores_gemma":[0.00009104218,0.00007201542,0.7284842,0.000071763054,0.00012747112,0.00018239155,0.0025129057,0.21958204,0.008063258,0.0023241676,0.038416956,0.000071807764],"about_ca_topic_score_codex":0.99304503,"about_ca_topic_score_gemma":0.99546367,"teacher_disagreement_score":0.0121728415,"about_ca_system_score_codex":0.0121728415,"about_ca_system_score_gemma":0.01974956,"threshold_uncertainty_score":0.08832061},"labels":[],"label_agreement":null},{"id":"W4382395151","doi":"10.18280/ts.400333","title":"Intelligent Home Scene Recognition Based on Image Processing and Internet of Things","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internet of Things; Computer science; Computer vision; Artificial intelligence; Image processing; The Internet; Image (mathematics); Computer graphics (images); Multimedia; Internet privacy; World Wide Web","score_opus":0.027445300533772178,"score_gpt":0.22440590580552494,"score_spread":0.19696060527175277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382395151","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":[0.05472226,0.000317378,0.9404153,0.0001385545,0.0000805963,0.000037613325,0.00006456362,0.00092127605,0.0033024494],"genre_scores_gemma":[0.80090594,0.00054323714,0.19516778,0.00014312235,0.00005993681,0.00005641835,0.0003156077,0.00005433871,0.0027536037],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99985313,0.000017375534,0.0000059201566,0.000050226306,0.00005453449,0.000018664887],"domain_scores_gemma":[0.99992764,0.000016442735,0.000011367348,0.000014457537,0.000024954928,0.000005229546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013532978,0.00040922343,0.0003542271,0.0004409315,0.00020376145,0.0003882191,0.0005241425,0.00035491175,0.0005562837],"category_scores_gemma":[0.000279179,0.00017977053,0.00048260883,0.0005495632,0.0003151357,0.0008888431,0.0003332861,0.00044674013,0.0002061835],"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":[0.00018814298,0.00023026865,0.0035316008,0.00014741409,0.00014964885,0.00039705355,0.00012747775,0.33553785,0.095300704,0.009362586,0.0040447973,0.5509824],"study_design_scores_gemma":[0.0000031497125,0.00003541197,0.0013646648,0.0000037502057,0.000017485816,0.00009246698,0.000017314833,0.98502445,0.01030415,0.0022228211,0.0009047845,0.0000095137675],"about_ca_topic_score_codex":0.002766709,"about_ca_topic_score_gemma":0.0033252316,"teacher_disagreement_score":0.002766709,"about_ca_system_score_codex":0.00027839543,"about_ca_system_score_gemma":0.00026472958,"threshold_uncertainty_score":0.0055012703},"labels":[],"label_agreement":null},{"id":"W4382395254","doi":"10.18280/ts.400344","title":"Multi-Resolution Feature Extraction and Fusion for Traditional Village Landscape Analysis in Remote Sensing Imagery","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Jilin Office of Philosophy and Social Science; Science and Technology Department of Henan Province; Education Department of Henan Province","keywords":"Remote sensing; Feature extraction; Artificial intelligence; Pattern recognition (psychology); Geography; Computer science; Cartography","score_opus":0.037153002199500774,"score_gpt":0.2440116832727716,"score_spread":0.20685868107327082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382395254","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11956814,0.00037181532,0.8768507,0.00021788364,0.000033597717,0.00005285693,0.00017032478,0.001006552,0.0017281318],"genre_scores_gemma":[0.8022368,0.00033562796,0.19522451,0.00011638128,0.00003292322,0.000053065425,0.0005039963,0.000067405796,0.0014293527],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998142,0.000027212292,0.0000074025193,0.00004925161,0.0000705272,0.000031354928],"domain_scores_gemma":[0.99984336,0.00004829589,0.00002029047,0.000031615156,0.00004516809,0.000011270936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003677031,0.00046660006,0.00040102468,0.0011368077,0.00019731066,0.0004708695,0.00055092026,0.0004074756,0.000812691],"category_scores_gemma":[0.00067568186,0.00018209919,0.00069488306,0.0008887131,0.00022650282,0.0009432237,0.0006198871,0.00053544715,0.00037966602],"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":[0.00021464977,0.00021470236,0.005000361,0.00012661958,0.00012799817,0.00026972994,0.00019157366,0.16234106,0.09859143,0.00229524,0.0025275997,0.7280991],"study_design_scores_gemma":[0.0000045672837,0.000044420194,0.0044417656,0.0000055408,0.000027561116,0.00008108005,0.000040862757,0.9853183,0.007950463,0.00142123,0.0006538469,0.000010278075],"about_ca_topic_score_codex":0.0034354895,"about_ca_topic_score_gemma":0.0060452414,"teacher_disagreement_score":0.0034354895,"about_ca_system_score_codex":0.00029281984,"about_ca_system_score_gemma":0.00031778438,"threshold_uncertainty_score":0.0068309903},"labels":[],"label_agreement":null},{"id":"W4385427702","doi":"10.18280/ijsdp.180703","title":"Monitoring and Prediction Functional Change of Land Uses Toward Urban Sustainability","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Land use, land-use change and forestry; Environmental planning; Environmental resource management; Land use; Urban sustainability; Environmental science; Business; Civil engineering; Engineering; Ecology","score_opus":0.04264134191072383,"score_gpt":0.254210081407901,"score_spread":0.2115687394971772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385427702","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":[0.97737384,0.0001118058,0.018729214,0.00014832232,0.000010613647,0.000058964393,0.0012742415,0.00013430919,0.0021587717],"genre_scores_gemma":[0.9926352,0.00008664103,0.00609574,0.000008040669,0.00000288497,0.00003140939,0.00067678303,0.000005657457,0.00045775835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99974173,0.00006433675,0.000016707292,0.00006678235,0.000054428197,0.000055968005],"domain_scores_gemma":[0.9992975,0.00028529897,0.00018221003,0.000052331154,0.0001264848,0.000056083678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006308306,0.00035408378,0.0002642235,0.0010336215,0.00025806692,0.0007996469,0.00041708272,0.00044144987,0.0008630123],"category_scores_gemma":[0.0013179064,0.00021668615,0.0005026634,0.00096597394,0.00024865931,0.00078739383,0.0005404426,0.00039473362,0.00023338382],"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":[0.00012075815,0.00026895685,0.4762858,0.00013906152,0.00009873482,0.0002775294,0.00036018924,0.4831868,0.0031622406,0.001730289,0.0010657912,0.033303797],"study_design_scores_gemma":[0.0000043082364,0.00007950087,0.07888658,0.000019656858,0.000026718899,0.000054200515,0.00041636472,0.9177501,0.0010938921,0.0010039281,0.0006477892,0.00001701998],"about_ca_topic_score_codex":0.02094794,"about_ca_topic_score_gemma":0.030651242,"teacher_disagreement_score":0.02094794,"about_ca_system_score_codex":0.000825151,"about_ca_system_score_gemma":0.00074343465,"threshold_uncertainty_score":0.041652024},"labels":[],"label_agreement":null},{"id":"W4386154597","doi":"10.2139/ssrn.4545800","title":"Mapping Past Land Cover on Poitiers in 1993 at Very High Resolution Using GEOBIA Approach and Open Data","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","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":"Université Laval","funders":"","keywords":"Cover (algebra); Land cover; Cartography; Geography; High resolution; Remote sensing; Geology; Physical geography; Land use; Engineering; Civil engineering","score_opus":0.06544771423745778,"score_gpt":0.2586577350878912,"score_spread":0.19321002085043343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386154597","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":[0.9959331,0.000051906318,0.00044409282,0.000032301028,0.0000039394904,0.000010149664,0.0019271215,0.000025866639,0.0015715866],"genre_scores_gemma":[0.9932869,0.00007069528,0.0017240549,0.000008149111,0.000005246189,0.000019323144,0.003297634,0.0000085007605,0.0015794482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991894,0.000010893374,0.000005516504,0.000023306868,0.000017542032,0.000023848725],"domain_scores_gemma":[0.9998568,0.000026593782,0.000029955134,0.000023888237,0.000038327853,0.000024344248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018126576,0.00013421675,0.00017721257,0.001179157,0.00043812388,0.00036601097,0.00020353697,0.00028065694,0.0014587826],"category_scores_gemma":[0.00042897757,0.0001271498,0.00016012386,0.0012178863,0.0002353664,0.0004724969,0.0005011389,0.00021603922,0.00030347583],"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":[0.00085983495,0.0001857411,0.898367,0.00012046058,0.00013451248,0.00085394137,0.0021742843,0.0071201464,0.011282044,0.0010914996,0.0021735243,0.07563698],"study_design_scores_gemma":[0.000006387993,0.000027497495,0.9928992,0.000008787646,0.000024950517,0.00006783321,0.00061431265,0.002915922,0.00085769047,0.00006530191,0.002506742,0.0000054734105],"about_ca_topic_score_codex":0.09003092,"about_ca_topic_score_gemma":0.22855493,"teacher_disagreement_score":0.09003092,"about_ca_system_score_codex":0.00048267006,"about_ca_system_score_gemma":0.00038704346,"threshold_uncertainty_score":0.17901373},"labels":[],"label_agreement":null},{"id":"W4386210050","doi":"10.18280/ijsdp.180825","title":"Built-Up Area Changes, Spatial Pattern and Urban Sprawling in Kedungsepur Metropolitan Area","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Gadjah Mada; Universitas Negeri Semarang","keywords":"Metropolitan area; Urban sprawl; Geography; Environmental planning; Environmental science; Transport engineering; Urban planning; Economic geography; Regional science; Civil engineering; Engineering; Archaeology","score_opus":0.025956901337861667,"score_gpt":0.24808408214408897,"score_spread":0.22212718080622731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386210050","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":[0.9992105,0.000054102453,0.00004316226,0.000019794978,0.0000010819432,0.000003381913,0.00008678127,0.0000026315115,0.00057856337],"genre_scores_gemma":[0.9996761,0.000035703804,0.000069666676,0.0000025329612,9.433813e-7,0.0000032501605,0.000083083534,9.659528e-7,0.00012780465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998653,0.000029951618,0.000012342794,0.000036745394,0.000031237112,0.000024382793],"domain_scores_gemma":[0.9996964,0.000047635538,0.00013322539,0.00001993756,0.00005587624,0.000046907036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016552125,0.00010988035,0.00011361531,0.0007078322,0.00025503972,0.0006094109,0.00020099765,0.0001313419,0.0006442644],"category_scores_gemma":[0.00056039926,0.0000952303,0.00015218793,0.0011433684,0.00035338383,0.00035741655,0.00047287607,0.00017739719,0.00008355506],"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":[0.000044898272,0.000045453,0.9887467,0.000027050115,0.000034776655,0.00040531045,0.0020401448,0.00055473467,0.00067249994,0.0002128805,0.00022198434,0.0069935527],"study_design_scores_gemma":[4.7469518e-7,0.000012898736,0.9961125,0.0000058189416,0.000006351521,0.00010149445,0.0026024415,0.0007026123,0.00006952089,0.000041084735,0.00034198057,0.0000028349357],"about_ca_topic_score_codex":0.032349024,"about_ca_topic_score_gemma":0.07571882,"teacher_disagreement_score":0.032349024,"about_ca_system_score_codex":0.0005263529,"about_ca_system_score_gemma":0.0002794016,"threshold_uncertainty_score":0.06432146},"labels":[],"label_agreement":null},{"id":"W4386290174","doi":"10.1061/9780784484869.105","title":"Hierarchical Structure Identification and Dynamic Evolution of Urban Activity Space","year":2023,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Ministry of Education and Child Care","funders":"","keywords":"Mobile phone; Space (punctuation); Identification (biology); Computer science; Phone; Hierarchical database model; Data mining; Geography; Telecommunications; Ecology","score_opus":0.006945426177535277,"score_gpt":0.21196829768259737,"score_spread":0.2050228715050621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386290174","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":[0.6132555,0.0004750529,0.37518716,0.00021129726,0.000022648963,0.000120847064,0.0018476204,0.00060401985,0.008275767],"genre_scores_gemma":[0.96223027,0.00010212249,0.035787012,0.000011586023,0.00001009783,0.000042766675,0.0008402406,0.000021341746,0.00095461315],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995721,0.00008015395,0.000024226118,0.0001399417,0.000107595726,0.000075987016],"domain_scores_gemma":[0.99875426,0.00036612077,0.0003039854,0.00014491167,0.00033231784,0.0000983902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045110847,0.00023333043,0.00021627995,0.0039032414,0.00043293348,0.00082514074,0.0003980897,0.0002259065,0.0008875808],"category_scores_gemma":[0.0022900563,0.00022261494,0.0004691527,0.0031580613,0.00042984087,0.0010018909,0.0007003045,0.00025618906,0.00020727131],"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":[0.00021651416,0.00012922575,0.5022767,0.00031571498,0.00025266162,0.0007194434,0.004057402,0.16585435,0.016908566,0.061916053,0.0049970904,0.24235626],"study_design_scores_gemma":[0.000012419769,0.00007269423,0.3087171,0.00004340481,0.0001076896,0.0003744597,0.0018378596,0.65567327,0.0036810231,0.021233644,0.008182607,0.000063830514],"about_ca_topic_score_codex":0.025827164,"about_ca_topic_score_gemma":0.027848141,"teacher_disagreement_score":0.025827164,"about_ca_system_score_codex":0.0010126015,"about_ca_system_score_gemma":0.00065411814,"threshold_uncertainty_score":0.051353693},"labels":[],"label_agreement":null},{"id":"W4386307320","doi":"10.18280/ts.400447","title":"Remote Sensing and Image Processing Techniques for Water Environment Monitoring: A Case Study of the Beijing-Tianjin-Hebei Region","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Department of Education of Hebei Province","keywords":"Beijing; Remote sensing; Environmental science; Computer science; Geography; China","score_opus":0.029889249785125853,"score_gpt":0.24064592453038255,"score_spread":0.2107566747452567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386307320","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":[0.9929374,0.00035220108,0.0035195379,0.00020550311,0.0000045340366,0.000069512615,0.00008621565,0.000026142765,0.0027990884],"genre_scores_gemma":[0.9929755,0.00027377027,0.0053594364,0.000020704374,0.000005755376,0.00002313677,0.000056550296,0.000006329459,0.0012787671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994822,0.0002076441,0.000020744152,0.00006285166,0.00014807578,0.0000784792],"domain_scores_gemma":[0.99969137,0.00012808385,0.0000549311,0.00003103705,0.000060931354,0.00003375771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006916819,0.00038286706,0.00027633883,0.0008893548,0.0006765479,0.00062655,0.0005843686,0.0006484159,0.00055928295],"category_scores_gemma":[0.00083384226,0.00017632078,0.00023690074,0.0022663472,0.00056135486,0.0005784927,0.0005689152,0.00020017812,0.00008695335],"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":[0.00067469606,0.001246296,0.5029042,0.00079554366,0.00029251375,0.023603534,0.008092574,0.079944104,0.05524056,0.0043309405,0.002585489,0.32028952],"study_design_scores_gemma":[0.000063537125,0.0007719132,0.816437,0.000059576254,0.00020905725,0.00243191,0.0123294275,0.13952814,0.016417237,0.0011729203,0.010475611,0.00010365837],"about_ca_topic_score_codex":0.08426736,"about_ca_topic_score_gemma":0.18649073,"teacher_disagreement_score":0.08426736,"about_ca_system_score_codex":0.0016868367,"about_ca_system_score_gemma":0.0009686651,"threshold_uncertainty_score":0.16755378},"labels":[],"label_agreement":null},{"id":"W4386361173","doi":"10.1109/agro-geoinformatics59224.2023.10233656","title":"Preliminary study on the classification of typical rural domestic waste in Jiangsu province","year":2023,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"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":"Ministry of Natural Resources","keywords":"Computer science","score_opus":0.03400756715788224,"score_gpt":0.25546038990935993,"score_spread":0.2214528227514777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386361173","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":[0.99974316,0.000007777052,0.000037325826,0.0000057138586,4.6295781e-7,0.000018636796,0.000030009312,7.8399734e-7,0.00015613508],"genre_scores_gemma":[0.998818,0.000034188477,0.00040097395,0.0000097148295,0.0000020468528,0.00003587386,0.00017038768,6.638697e-7,0.0005280827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958533,0.00013826991,0.000033770844,0.00006701636,0.000084271975,0.00009137662],"domain_scores_gemma":[0.9991604,0.00019249952,0.00016728509,0.000053236676,0.00025749506,0.00016906727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084466086,0.0002770807,0.00023480244,0.0015896207,0.0014072915,0.00037599233,0.00038943917,0.00023797198,0.0010130169],"category_scores_gemma":[0.0010674349,0.00024194294,0.00022753965,0.0019808873,0.00053470785,0.0003271371,0.0003780628,0.00013250046,0.00011788469],"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":[0.0001020106,0.0002861359,0.96610725,0.00009031976,0.000017298464,0.00061925006,0.017325584,0.00013867646,0.003429172,0.00008946643,0.00014257127,0.011652276],"study_design_scores_gemma":[0.0000054630236,0.00021576583,0.9830064,0.000006149299,0.000005881809,0.00009390311,0.015885651,0.00018483258,0.0002583327,0.000015119419,0.00031803537,0.0000044976614],"about_ca_topic_score_codex":0.071673155,"about_ca_topic_score_gemma":0.16330849,"teacher_disagreement_score":0.071673155,"about_ca_system_score_codex":0.0012215262,"about_ca_system_score_gemma":0.0014379607,"threshold_uncertainty_score":0.14251196},"labels":[],"label_agreement":null},{"id":"W4386810023","doi":"10.3808/jei.202300502","title":"Differences in China Greening Characteristics and its Contribution to Global Greening","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":9,"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":"Greening; Geography; Stock (firearms); China; Environmental resource management; Environmental science; Ecology; Biology","score_opus":0.01155819234628409,"score_gpt":0.2044969545663638,"score_spread":0.19293876222007972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386810023","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":[0.993379,0.00021432685,0.0005653801,0.00015194065,0.000012410729,0.00000879346,0.0003236208,0.000019149602,0.005325382],"genre_scores_gemma":[0.9984648,0.00012224872,0.00020990851,0.000017113218,0.00000530929,0.000004272918,0.00022019382,0.0000052838523,0.00095081906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996979,0.00003559226,0.00002749502,0.00007648468,0.00008740949,0.00007510927],"domain_scores_gemma":[0.9995179,0.00008543924,0.0000807371,0.00006221875,0.00018616514,0.00006752783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006673749,0.00022462936,0.0001902852,0.0014551794,0.00041807926,0.00066088006,0.0001861221,0.00014168305,0.0012768771],"category_scores_gemma":[0.00094929937,0.0000932469,0.00046615483,0.0023872717,0.00029277435,0.00059986766,0.0004930901,0.00018754172,0.000105393396],"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":[0.000087653614,0.000034646015,0.89568645,0.0001730638,0.00016019375,0.00036775178,0.0034271209,0.004852484,0.0031491541,0.0042654644,0.0015875911,0.08620837],"study_design_scores_gemma":[0.0000020305315,0.000017391998,0.99422705,0.000011224535,0.00003216575,0.000032644413,0.0005993497,0.0020204957,0.0002831214,0.00038926926,0.0023759,0.000009384786],"about_ca_topic_score_codex":0.037175123,"about_ca_topic_score_gemma":0.05090656,"teacher_disagreement_score":0.037175123,"about_ca_system_score_codex":0.0010372165,"about_ca_system_score_gemma":0.0009664803,"threshold_uncertainty_score":0.07391745},"labels":[],"label_agreement":null},{"id":"W4387802566","doi":"10.1109/igarss52108.2023.10282389","title":"Improving Land Cover Classification In Subarctic Wetlands Using Multi-Source Remotely Sensed Data","year":2023,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Ministry of Natural Resources and Forestry; York University","funders":"","keywords":"Tundra; Environmental science; Shrub; Land cover; Remote sensing; Swamp; Wetland; Random forest; Marsh; Vegetation classification; Arctic; Artificial intelligence; Geography; Ecology; Computer science; Land use; Vegetation (pathology)","score_opus":0.13356019048400386,"score_gpt":0.28902167131657847,"score_spread":0.1554614808325746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387802566","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":[0.7596542,0.00020394119,0.23871982,0.00006905116,0.00002206435,0.000049133658,0.00017347792,0.00043405208,0.00067420054],"genre_scores_gemma":[0.91339207,0.00006604488,0.086016804,0.00002452198,0.000012692302,0.000018757453,0.00020170222,0.000010963289,0.00025647559],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99969304,0.00005992951,0.000021548856,0.00007543372,0.0000976711,0.000052285606],"domain_scores_gemma":[0.9995826,0.00013324403,0.00006663495,0.000039138606,0.00015597144,0.000022441016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010933595,0.00041993742,0.00038431518,0.0011424217,0.00023383531,0.00044149547,0.00028068986,0.00029961806,0.00018246975],"category_scores_gemma":[0.0012747948,0.00012511709,0.00040267844,0.00053574913,0.0001680681,0.0005982763,0.00045543964,0.0002822264,0.000118843935],"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":[0.00029670203,0.0003205652,0.052383147,0.00008024201,0.00013705403,0.00016471173,0.0002752104,0.12797509,0.08369362,0.0007420201,0.00075457466,0.7331771],"study_design_scores_gemma":[0.000010445107,0.00007102754,0.029157035,0.0000074266077,0.00004732352,0.00004003026,0.00009150094,0.95332867,0.016344002,0.00046040944,0.00042578013,0.000016186988],"about_ca_topic_score_codex":0.004292292,"about_ca_topic_score_gemma":0.005666914,"teacher_disagreement_score":0.004292292,"about_ca_system_score_codex":0.00028462295,"about_ca_system_score_gemma":0.00034259493,"threshold_uncertainty_score":0.00853461},"labels":[],"label_agreement":null},{"id":"W4390395432","doi":"10.18280/ts.400605","title":"A High-Performance, Equus Jubatus-Optimized Deep Learning Model for Satellite Image-Based Change Detection","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equus; Satellite; Deep learning; Artificial intelligence; Satellite image; Computer science; Image (mathematics); Remote sensing; Pattern recognition (psychology); Computer vision; Geography; Biology; Zoology; Engineering; Aerospace engineering","score_opus":0.03293902087286083,"score_gpt":0.2208537577362093,"score_spread":0.18791473686334847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390395432","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":[0.15055358,0.0011796486,0.8364715,0.0006358737,0.00019541573,0.00011316108,0.0004753147,0.004617425,0.005758122],"genre_scores_gemma":[0.8186004,0.00031846124,0.17146224,0.0003374272,0.000054593864,0.0001596892,0.0012104954,0.00016611446,0.0076905256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998728,0.000020862868,0.000005988295,0.000040211926,0.000033935543,0.000026161584],"domain_scores_gemma":[0.9998293,0.000054448694,0.000019717414,0.000017234612,0.00006450169,0.000014849063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005063786,0.00074385275,0.00051941426,0.0004940552,0.00030226537,0.0005607773,0.0013694728,0.0008140109,0.0014544824],"category_scores_gemma":[0.001062778,0.0003431382,0.00041832728,0.00048532835,0.0004153633,0.0009415644,0.00079585426,0.0011117476,0.00047345902],"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":[0.00017735337,0.00012510885,0.0018388504,0.000051334096,0.00007976131,0.000085416155,0.000051374944,0.8325787,0.0055980706,0.0035730812,0.0051400997,0.15070075],"study_design_scores_gemma":[0.000001972797,0.0000110650635,0.000098886776,0.0000024098895,0.0000032092796,0.0000073875794,0.0000026559444,0.9985007,0.00068759866,0.00044965165,0.00023259688,0.0000019064266],"about_ca_topic_score_codex":0.014015905,"about_ca_topic_score_gemma":0.021655444,"teacher_disagreement_score":0.014015905,"about_ca_system_score_codex":0.0008992155,"about_ca_system_score_gemma":0.0011357333,"threshold_uncertainty_score":0.027868688},"labels":[],"label_agreement":null},{"id":"W4390412717","doi":"10.25073/2588-1094/vnuees.4962","title":"Application of Satellite Images and Artificial Intelligence to Monitor Land Cover Changes in Hanoi Area During 2013-2023 Period","year":2023,"lang":"en","type":"article","venue":"VNU Journal of Science Earth and Environmental Sciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Land cover; Remote sensing; Environmental science; Cover (algebra); Land use; Period (music); Physical geography; Satellite; Boundary (topology); Hydrology (agriculture); Geography; Environmental resource management; Geology; Mathematics; Civil engineering; Engineering","score_opus":0.015260509353833968,"score_gpt":0.21706399837222845,"score_spread":0.20180348901839448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390412717","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":[0.99732757,0.000098035314,0.00033358225,0.000053125394,0.000004748848,0.000026564914,0.0008872046,0.00001511197,0.0012540409],"genre_scores_gemma":[0.997601,0.000094187926,0.0009942267,0.000013984653,0.000005685928,0.00002081221,0.00088388013,0.0000016113831,0.00038459778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986625,0.000021264434,0.000011569753,0.000030330551,0.00004018027,0.000030457453],"domain_scores_gemma":[0.99978894,0.00002818485,0.000061404346,0.000008303853,0.00008855711,0.000024645375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027591342,0.00013265708,0.00010667364,0.0012512625,0.00018027192,0.00032766175,0.0001527717,0.00012279209,0.00031906518],"category_scores_gemma":[0.0004268859,0.000068055466,0.00017239263,0.0011981021,0.00012092675,0.00020182478,0.00015744151,0.00012757572,0.000060587987],"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":[0.00007255557,0.00012710677,0.95519984,0.00005092746,0.00006875506,0.00030560966,0.0004616659,0.0033200851,0.0025730338,0.00014026005,0.0008409036,0.03683934],"study_design_scores_gemma":[0.0000025951601,0.000045152683,0.98363864,0.000007660522,0.000022917975,0.00006397698,0.0009365272,0.013334857,0.0009909075,0.000035798614,0.0009139757,0.0000068826475],"about_ca_topic_score_codex":0.12036068,"about_ca_topic_score_gemma":0.15379691,"teacher_disagreement_score":0.12036068,"about_ca_system_score_codex":0.000813172,"about_ca_system_score_gemma":0.00054760557,"threshold_uncertainty_score":0.23932022},"labels":[],"label_agreement":null},{"id":"W4390430116","doi":"10.18280/ts.400612","title":"Optimizing Water Body Detection in Southeast Hubei Using PCA on Landsat ETM+ Imagery","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Water body; Remote sensing; Geology; Change detection; Thematic Mapper; Environmental science; Satellite imagery; Geotechnical engineering","score_opus":0.025975837396496906,"score_gpt":0.22289932072507776,"score_spread":0.19692348332858084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390430116","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":[0.9740431,0.00006585552,0.022075731,0.00010987885,0.00001734682,0.000033392895,0.00096072536,0.0012873624,0.0014067759],"genre_scores_gemma":[0.9694401,0.00004078399,0.027446365,0.000018473029,0.000009271882,0.000013018016,0.0013715264,0.0000922324,0.0015683523],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991465,0.0000072206235,0.0000027405663,0.000030033445,0.000019660923,0.000025647178],"domain_scores_gemma":[0.9998666,0.000023240396,0.000011441828,0.000008193435,0.00007490674,0.000015610007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018298287,0.0004992052,0.00030649573,0.0008787182,0.00030270865,0.000551744,0.00033423875,0.00030118064,0.0011374793],"category_scores_gemma":[0.0004558038,0.0001888927,0.0003715609,0.0007950887,0.00015823134,0.00027572355,0.00019871231,0.00019943378,0.000515208],"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":[0.0008938528,0.0005523272,0.13336323,0.00016141044,0.00018200839,0.00037430934,0.0002949665,0.22268349,0.21714953,0.00076119276,0.0075006727,0.416083],"study_design_scores_gemma":[0.00005730643,0.000043649517,0.17720543,0.0000050814447,0.00006307105,0.00002306217,0.00013216672,0.8043888,0.017094506,0.00014270855,0.0008255554,0.000018745443],"about_ca_topic_score_codex":0.14467984,"about_ca_topic_score_gemma":0.20941935,"teacher_disagreement_score":0.14467984,"about_ca_system_score_codex":0.0004926031,"about_ca_system_score_gemma":0.0011676997,"threshold_uncertainty_score":0.28767544},"labels":[],"label_agreement":null},{"id":"W4391123668","doi":"","title":"The study of callus induction and effect of salicylic acid on callus secondary metabolites of Juniperus excels","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Thompson Rivers University","funders":"","keywords":"Callus; Salicylic acid; Botany; Chemistry; Biology; Horticulture; Biochemistry","score_opus":0.16001815742946,"score_gpt":0.46195232986874596,"score_spread":0.301934172439286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391123668","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":[0.9948285,0.001882354,0.0009870927,0.00004802644,0.000025653117,0.000037854756,0.00036144332,0.00003768222,0.0017914802],"genre_scores_gemma":[0.9880778,0.0017471039,0.0026293348,0.0000981613,0.00001771002,0.000060604463,0.0010092959,0.000019937788,0.006340058],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998797,0.000016494654,0.000012668062,0.000033862554,0.00003939342,0.000017904264],"domain_scores_gemma":[0.9998653,0.000024074054,0.000033632215,0.000011157891,0.00002319869,0.000042580225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015319457,0.00046828995,0.0003930514,0.00028794902,0.00022608662,0.00026051112,0.00019463601,0.00019818194,0.00080448826],"category_scores_gemma":[0.000087624576,0.00017927309,0.00033789533,0.00017233592,0.00011944654,0.0001845275,0.00019193282,0.00045164613,0.00023397003],"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":[0.0000620378,0.00002148712,0.00011927109,0.000039856815,0.0000034885734,0.0000357772,0.0000120009245,0.00001893373,0.99912447,0.000016537584,0.000006802083,0.0005394065],"study_design_scores_gemma":[0.000017874783,0.0008947975,0.011851547,0.000011261953,0.000038807837,0.00019222699,0.000058846963,0.0003330102,0.984132,0.000026609685,0.002434882,0.000008270399],"about_ca_topic_score_codex":0.0007989069,"about_ca_topic_score_gemma":0.0016398317,"teacher_disagreement_score":0.00080448826,"about_ca_system_score_codex":0.00019378623,"about_ca_system_score_gemma":0.0002470771,"threshold_uncertainty_score":0.002691269},"labels":[],"label_agreement":null},{"id":"W4391191157","doi":"10.5194/bg-8-489-2011","title":"An evaluation of ocean color model estimates of marine primary productivity in coastal and pelagic regions across the globe","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":224,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Pelagic zone; Primary productivity; Productivity; Oceanography; Globe; Environmental science; Ocean color; Climatology; Geography; Geology; Ecosystem; Ecology; Biology; Engineering","score_opus":0.05410749945958798,"score_gpt":0.2684622775060228,"score_spread":0.21435477804643482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391191157","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":[0.9983163,0.00003521156,0.00097503344,0.00003466294,0.0000037258746,0.0000043462205,0.00020305546,0.00003857174,0.00038913137],"genre_scores_gemma":[0.99867874,0.00002404044,0.000792321,0.000009708631,0.0000014203034,0.0000033534252,0.00037876147,0.000006955108,0.00010462508],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977547,0.00007748597,0.000018774403,0.0000745653,0.000030493691,0.000023157396],"domain_scores_gemma":[0.99909973,0.00034985956,0.00013110528,0.00011612659,0.00024131114,0.00006188458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001370792,0.00051161303,0.00024926008,0.0004479121,0.00018667948,0.0007257516,0.00037035657,0.00038311552,0.0005203293],"category_scores_gemma":[0.0030289635,0.0002352975,0.0006011732,0.00033998128,0.00016448695,0.0006616436,0.0005427827,0.00021806589,0.00014892309],"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":[0.00027914465,0.00006992813,0.77297616,0.000026628584,0.0004971012,0.00008893472,0.00010370546,0.20821013,0.0034922995,0.00019709929,0.00032177736,0.013737086],"study_design_scores_gemma":[0.000073184696,0.0001760821,0.4207015,0.000019241874,0.00012016806,0.00006237513,0.00020869925,0.5736013,0.0040487587,0.0003143952,0.00065080303,0.000023472396],"about_ca_topic_score_codex":0.03805437,"about_ca_topic_score_gemma":0.026120456,"teacher_disagreement_score":0.03805437,"about_ca_system_score_codex":0.0008460552,"about_ca_system_score_gemma":0.00048446975,"threshold_uncertainty_score":0.07566577},"labels":[],"label_agreement":null},{"id":"W4391404959","doi":"10.32920/25119539.v1","title":"Time-Series Analysis of Medium-Resolution, Multisensor Satellite Data for Identifying Landscape Change","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Regina; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Thematic Mapper; Remote sensing; Normalized Difference Vegetation Index; Principal component analysis; Spectral bands; Satellite; Thematic map; Pixel; Image resolution; Vegetation (pathology); Satellite imagery; Cartography; Environmental science; Geography; Computer science; Geology; Artificial intelligence; Climate change","score_opus":0.10673521433368721,"score_gpt":0.3057368977409025,"score_spread":0.1990016834072153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391404959","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":[0.94939184,0.0008146955,0.043130953,0.00022197257,0.00010323521,0.00010726382,0.0024508424,0.00030146065,0.003477838],"genre_scores_gemma":[0.9679235,0.00028732716,0.029216299,0.000025311798,0.000036283003,0.00006206784,0.0017712808,0.000013788323,0.000664147],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997855,0.00004578896,0.000021330266,0.000036729147,0.00009305764,0.000017593553],"domain_scores_gemma":[0.99967825,0.00009517295,0.00005714809,0.000044091437,0.00009970872,0.000025572346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060420984,0.00025747367,0.00018046696,0.0022314857,0.0001535113,0.0004777122,0.00020256353,0.00019463417,0.00082758855],"category_scores_gemma":[0.0011657737,0.00007372585,0.0002795215,0.0020682674,0.00011601909,0.0005145506,0.00022220735,0.00019939424,0.00014237183],"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":[0.00031775798,0.00054797466,0.37430522,0.00035188405,0.00033398726,0.0005121721,0.0004721878,0.034768876,0.051986016,0.0019205742,0.0038573516,0.53062606],"study_design_scores_gemma":[0.000019996834,0.00019610894,0.71407115,0.00004692255,0.0001269066,0.00017609361,0.00079188606,0.2673012,0.010066583,0.0010677689,0.00607642,0.000058977104],"about_ca_topic_score_codex":0.006803303,"about_ca_topic_score_gemma":0.013918182,"teacher_disagreement_score":0.006803303,"about_ca_system_score_codex":0.0003201923,"about_ca_system_score_gemma":0.000265438,"threshold_uncertainty_score":0.013527393},"labels":[],"label_agreement":null},{"id":"W4391405054","doi":"10.32920/25119539","title":"Time-Series Analysis of Medium-Resolution, Multisensor Satellite Data for Identifying Landscape Change","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Regina; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Thematic Mapper; Remote sensing; Normalized Difference Vegetation Index; Principal component analysis; Spectral bands; Satellite; Thematic map; Pixel; Image resolution; Vegetation (pathology); Satellite imagery; Cartography; Spectral signature; Environmental science; Geography; Computer science; Geology; Artificial intelligence; Climate change","score_opus":0.10673521433368721,"score_gpt":0.3057368977409025,"score_spread":0.1990016834072153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391405054","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":[0.94939184,0.0008146955,0.043130953,0.00022197257,0.00010323521,0.00010726382,0.0024508424,0.00030146065,0.003477838],"genre_scores_gemma":[0.9679235,0.00028732716,0.029216299,0.000025311798,0.000036283003,0.00006206784,0.0017712808,0.000013788323,0.000664147],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997855,0.00004578896,0.000021330266,0.000036729147,0.00009305764,0.000017593553],"domain_scores_gemma":[0.99967825,0.00009517295,0.00005714809,0.000044091437,0.00009970872,0.000025572346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060420984,0.00025747367,0.00018046696,0.0022314857,0.0001535113,0.0004777122,0.00020256353,0.00019463417,0.00082758855],"category_scores_gemma":[0.0011657737,0.00007372585,0.0002795215,0.0020682674,0.00011601909,0.0005145506,0.00022220735,0.00019939424,0.00014237183],"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":[0.00031775798,0.00054797466,0.37430522,0.00035188405,0.00033398726,0.0005121721,0.0004721878,0.034768876,0.051986016,0.0019205742,0.0038573516,0.53062606],"study_design_scores_gemma":[0.000019996834,0.00019610894,0.71407115,0.00004692255,0.0001269066,0.00017609361,0.00079188606,0.2673012,0.010066583,0.0010677689,0.00607642,0.000058977104],"about_ca_topic_score_codex":0.006803303,"about_ca_topic_score_gemma":0.013918182,"teacher_disagreement_score":0.006803303,"about_ca_system_score_codex":0.0003201923,"about_ca_system_score_gemma":0.000265438,"threshold_uncertainty_score":0.013527393},"labels":[],"label_agreement":null},{"id":"W4391467064","doi":"10.1080/01944363.2024.2302270","title":"Atlas of the Senseable City <i>Atlas of the Senseable City</i> Antoine Picon and Carlo Ratti (2023). Yale University Press, 240 pages. $35 (hardcover)","year":2024,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Atlas (anatomy); Cartography; Art history; Art; Geography; Biology","score_opus":0.012048636607473616,"score_gpt":0.20293530610464394,"score_spread":0.1908866694971703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391467064","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013187348,0.050715346,0.004576127,0.019990144,0.014275934,0.000073097675,0.024555104,0.0018713658,0.8826242],"genre_scores_gemma":[0.013590458,0.034845054,0.0033881143,0.0022667833,0.0015377831,0.00009942432,0.016094627,0.0011757658,0.9270019],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975866,0.000028117256,0.000009767514,0.00005164182,0.00010817278,0.000043552343],"domain_scores_gemma":[0.99962354,0.000031776428,0.000022707989,0.000036131387,0.00018678592,0.0000990313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030949787,0.00066947617,0.00035511923,0.0014871889,0.0013645601,0.0039591305,0.00066185766,0.0006048247,0.2103063],"category_scores_gemma":[0.0007339627,0.00045096877,0.0003332918,0.0037422567,0.00079154776,0.0034913318,0.0025441393,0.0013935362,0.08912474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040743757,0.0000014929273,0.000085843276,0.000030400653,7.8359795e-7,0.000008894885,0.00006428469,0.00004944047,0.000028700939,0.0057287617,0.97470254,0.019294765],"study_design_scores_gemma":[3.4399233e-7,4.94572e-7,0.00026372762,0.000018094499,3.3633347e-7,0.000010284216,0.00006592845,0.0000091077745,0.0000089974,0.0006388706,0.99898225,0.0000014451604],"about_ca_topic_score_codex":0.036613904,"about_ca_topic_score_gemma":0.08788731,"teacher_disagreement_score":0.2103063,"about_ca_system_score_codex":0.0020456323,"about_ca_system_score_gemma":0.0021966635,"threshold_uncertainty_score":0.7035447},"labels":[],"label_agreement":null},{"id":"W4392190263","doi":"10.18280/isi.290111","title":"Measuring Agricultural Area Using YOLO Object Detection and ArUco Markers","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Object (grammar); Computer science; Artificial intelligence; Geography; Biology; Ecology","score_opus":0.021812157427796828,"score_gpt":0.19540450395149256,"score_spread":0.17359234652369573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392190263","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.276743,0.0009806878,0.70613474,0.000082528575,0.00013141312,0.00018255123,0.00042135036,0.005740738,0.009583106],"genre_scores_gemma":[0.5298035,0.00046623434,0.46505406,0.00005234508,0.0000216221,0.00012278795,0.00062124484,0.00020083168,0.0036574623],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951255,0.00007362579,0.000024045601,0.00014747723,0.0001784415,0.00006376553],"domain_scores_gemma":[0.9995227,0.00010338041,0.00008925003,0.000070153845,0.0001941737,0.000020339246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040992428,0.0005869175,0.0004240828,0.0019816726,0.00022221668,0.00086345355,0.00045970076,0.00043721354,0.0014436913],"category_scores_gemma":[0.0012365062,0.00025337757,0.00031652412,0.0009373155,0.0001933326,0.00067563803,0.0006825754,0.00025091894,0.0010217008],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043175757,0.000122055244,0.035208188,0.00038853643,0.000121338344,0.00025547607,0.00066373573,0.017640611,0.21731855,0.0030403503,0.003184598,0.7216248],"study_design_scores_gemma":[0.00007379874,0.00088469853,0.112395965,0.00024674484,0.00020523298,0.0020039228,0.000819592,0.4314326,0.39700067,0.0016740975,0.053020634,0.00024209538],"about_ca_topic_score_codex":0.0021882753,"about_ca_topic_score_gemma":0.0029564518,"teacher_disagreement_score":0.0021882753,"about_ca_system_score_codex":0.00024918644,"about_ca_system_score_gemma":0.00023336068,"threshold_uncertainty_score":0.0048295856},"labels":[],"label_agreement":null},{"id":"W4393041651","doi":"10.1080/10095020.2024.2311862","title":"Ecological health assessment of Tibetan alpine grasslands in Gannan using remote sensed ecological indicators","year":2024,"lang":"en","type":"article","venue":"Geo-spatial Information Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":32,"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 Toronto","funders":"","keywords":"Ecology; Ecological assessment; Geography; Ecological health; Ecological indicator; Environmental science; Biology; Ecosystem","score_opus":0.02370184339988522,"score_gpt":0.3103474485591825,"score_spread":0.28664560515929727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393041651","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":[0.9979267,0.00014394418,0.0008710518,0.000049879745,0.00000441305,0.0000122314505,0.00027298045,0.000018446533,0.00070029567],"genre_scores_gemma":[0.9991167,0.00005470046,0.00045720953,0.000011647922,0.000003387722,0.000006689464,0.00025933998,0.0000011646349,0.00008917015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975854,0.000084956075,0.00002084513,0.000047783422,0.000049997907,0.0000378263],"domain_scores_gemma":[0.99974114,0.000055628523,0.000060090235,0.00002305691,0.00008519849,0.00003487028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008884798,0.0005915806,0.00019938359,0.0010829308,0.00019967069,0.00078049314,0.0002972089,0.00029343466,0.00040755369],"category_scores_gemma":[0.00059804856,0.00010690123,0.0005208721,0.0006849167,0.0002771885,0.00048119956,0.00039813283,0.00019808105,0.000053248208],"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":[0.00010756233,0.000079369376,0.9523392,0.00007520915,0.00019918704,0.00030001518,0.00032724373,0.018767053,0.00318654,0.0002728519,0.00030861198,0.024037223],"study_design_scores_gemma":[0.0000075328753,0.0000594033,0.9534157,0.000016197022,0.000055183085,0.000067241155,0.00051952014,0.04503277,0.00038462973,0.00015892387,0.00026855836,0.0000142957715],"about_ca_topic_score_codex":0.036078643,"about_ca_topic_score_gemma":0.049462583,"teacher_disagreement_score":0.036078643,"about_ca_system_score_codex":0.0008671139,"about_ca_system_score_gemma":0.00041956388,"threshold_uncertainty_score":0.07173729},"labels":[],"label_agreement":null},{"id":"W4393197030","doi":"10.62051/ijnres.v2n1.01","title":"Simulation of Groundwater Quality in Xi 'an,Shaanxi Province Based on Visual Modflow","year":2024,"lang":"en","type":"article","venue":"International Journal of Natural Resources and Environmental Studies","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Shaanxi Provincial Land Engineering Construction Group","keywords":"MODFLOW; Groundwater; Water resource management; Environmental science; Quality (philosophy); Hydrology (agriculture); Geology; Groundwater flow; Aquifer; Geotechnical engineering; Physics","score_opus":0.0206165449844326,"score_gpt":0.2943121166092524,"score_spread":0.2736955716248198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393197030","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":[0.9887322,0.00010369315,0.005873413,0.0002261834,0.000027189588,0.000032589593,0.0010251408,0.0003710658,0.0036084545],"genre_scores_gemma":[0.99589753,0.00006771472,0.002509559,0.000011790396,0.0000033444817,0.000024580842,0.00082175405,0.000010663363,0.0006530479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989164,0.00002317891,0.000006665158,0.0000223077,0.00002521358,0.00003086891],"domain_scores_gemma":[0.99986386,0.00004476779,0.000013956779,0.000008692298,0.000038966882,0.000029704237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028775746,0.0005602722,0.00037478222,0.0005921967,0.00053555693,0.0005320439,0.00050005026,0.00055546407,0.0011949894],"category_scores_gemma":[0.00048840034,0.00027500707,0.00055008754,0.0007232888,0.00042766304,0.00034015812,0.00047739674,0.00035439647,0.000074886775],"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":[0.00012616978,0.000089455396,0.027619973,0.00005299016,0.000036050715,0.00021803031,0.00008486803,0.96208084,0.0015652267,0.0007821321,0.0008459696,0.0064982264],"study_design_scores_gemma":[0.000035922512,0.00001938327,0.005389693,0.000002547444,0.000008361052,0.0000067032543,0.000033539356,0.99373573,0.00033903916,0.00017001435,0.00025386308,0.000005272505],"about_ca_topic_score_codex":0.14554663,"about_ca_topic_score_gemma":0.09417741,"teacher_disagreement_score":0.14554663,"about_ca_system_score_codex":0.0012133457,"about_ca_system_score_gemma":0.0018368765,"threshold_uncertainty_score":0.2893989},"labels":[],"label_agreement":null},{"id":"W4393284909","doi":"10.23977/jaip.2024.070118","title":"Research on Cloud Detection in Non-agricultural Image Based on Long Time Series Data","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Series (stratigraphy); Time series; Agriculture; Computer science; Image (mathematics); Data science; Remote sensing; Data mining; Computer vision; Geography; Machine learning; Geology; Operating system; Archaeology","score_opus":0.09050421242554399,"score_gpt":0.37417365167042094,"score_spread":0.283669439244877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393284909","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":[0.49804875,0.0054502203,0.49039444,0.00078984257,0.00032192597,0.00011307845,0.0007756977,0.00065997685,0.0034461205],"genre_scores_gemma":[0.9096978,0.0038536917,0.08257229,0.00012054812,0.00027102177,0.000048517388,0.0016310586,0.00006312718,0.0017420629],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99939203,0.00006791228,0.000045070825,0.0001806754,0.00024047462,0.00007389363],"domain_scores_gemma":[0.9984993,0.00061517477,0.00028879746,0.00015704101,0.00035399257,0.000085799154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008081529,0.0006587527,0.0005925433,0.0022230633,0.00037006597,0.00093480543,0.0007779703,0.0005224922,0.0005443876],"category_scores_gemma":[0.002423996,0.0002352125,0.00069010234,0.0029023353,0.00035023468,0.0017257909,0.00028029035,0.00060849567,0.00027878056],"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":[0.00031150138,0.00041460997,0.07725569,0.0005872031,0.00032328928,0.00070970546,0.00024743332,0.14994118,0.056270793,0.0067956615,0.0028276574,0.7043153],"study_design_scores_gemma":[0.000005958747,0.000073538016,0.03645939,0.000026109374,0.000041730458,0.0001521269,0.00013676706,0.95086455,0.008490117,0.001910375,0.0018147088,0.000024705954],"about_ca_topic_score_codex":0.008123487,"about_ca_topic_score_gemma":0.007038726,"teacher_disagreement_score":0.008123487,"about_ca_system_score_codex":0.0005484625,"about_ca_system_score_gemma":0.00061958114,"threshold_uncertainty_score":0.016152382},"labels":[],"label_agreement":null},{"id":"W4393610702","doi":"10.5281/zenodo.6845098","title":"Geometric Control on Seismic Rupture and Earthquake Sequence along the Yingxiu-Beichuan Fault with Implications for the 2008 Wenchuan Earthquak","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Geological Survey of Canada; McGill University","funders":"","keywords":"Geology; Seismology; Sequence (biology); Fault (geology); Normal fault","score_opus":0.032718150898758645,"score_gpt":0.23342190788183556,"score_spread":0.2007037569830769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393610702","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99164855,0.000042806983,0.002360127,0.000073187235,0.000039093877,0.000021113414,0.001403225,0.00020382047,0.004208037],"genre_scores_gemma":[0.99657404,0.000021063082,0.0010208566,0.000009480528,0.0000044595286,0.000020343146,0.0014003658,0.000037345017,0.0009119501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99986565,0.000019880916,0.000006160066,0.000046803525,0.00002126357,0.000040177292],"domain_scores_gemma":[0.99983156,0.000028883509,0.000025536981,0.000035259352,0.00003572704,0.00004306439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018231393,0.0003844478,0.0004445594,0.00058804103,0.00046114737,0.0006632841,0.00078638305,0.00062940666,0.0048789536],"category_scores_gemma":[0.0006501176,0.000310932,0.00046762725,0.00092287763,0.0006257005,0.00027691116,0.00049015536,0.00040265062,0.0003639887],"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":[0.00018094368,0.00013804698,0.032524664,0.000047021407,0.000062294734,0.00036692098,0.00008298597,0.9527556,0.0039029713,0.0022073798,0.001676373,0.0060547707],"study_design_scores_gemma":[0.000104051884,0.000106864536,0.029212516,0.000010421191,0.000028178007,0.00006356186,0.00009761691,0.966362,0.0016245927,0.0008339235,0.0015255596,0.000030667405],"about_ca_topic_score_codex":0.03432397,"about_ca_topic_score_gemma":0.033805754,"teacher_disagreement_score":0.03432397,"about_ca_system_score_codex":0.00089866226,"about_ca_system_score_gemma":0.0009157023,"threshold_uncertainty_score":0.06824833},"labels":[],"label_agreement":null},{"id":"W4393676553","doi":"10.5281/zenodo.6914898","title":"SEN12 Global Urban Mapping Dataset","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Remote Sensing and Land Use","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":"Geography; Cartography","score_opus":0.037105435604976866,"score_gpt":0.2318406014111086,"score_spread":0.19473516580613173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393676553","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018147285,0.00021295901,0.00059722725,0.00016313144,0.00006422503,0.000057476755,0.99288976,0.0015148338,0.0026856167],"genre_scores_gemma":[0.0013747959,0.000054909928,0.00085630664,0.000039116923,0.000006848901,0.000086935535,0.99682367,0.000059986745,0.0006973682],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922895,0.00016732051,0.00006251332,0.00021050153,0.00021933748,0.00011144959],"domain_scores_gemma":[0.9993901,0.0001054023,0.00004249599,0.00016578505,0.00023295866,0.000063280924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066667056,0.0029700454,0.0013836898,0.0028573382,0.00091378967,0.0013119195,0.0034319877,0.0016519513,0.021191323],"category_scores_gemma":[0.0016556698,0.0004112247,0.0011847949,0.004835682,0.00046693708,0.0010613893,0.0015277497,0.0015884095,0.031170826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060554125,0.000066558736,0.0010596279,0.0003893607,0.000041167554,0.00007022359,0.000026937107,0.0019591965,0.00016229546,0.00055706524,0.9880701,0.0075369678],"study_design_scores_gemma":[0.00026735337,0.000052473875,0.0075174463,0.0002493317,0.000053811167,0.0002754941,0.00028845447,0.010312573,0.0012323026,0.0022888281,0.9773876,0.000074262025],"about_ca_topic_score_codex":0.039316982,"about_ca_topic_score_gemma":0.10240348,"teacher_disagreement_score":0.039316982,"about_ca_system_score_codex":0.0013084412,"about_ca_system_score_gemma":0.0014778122,"threshold_uncertainty_score":0.07817626},"labels":[],"label_agreement":null},{"id":"W4393700621","doi":"10.5281/zenodo.6914897","title":"SEN12 Global Urban Mapping Dataset","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Remote Sensing and Land Use","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":"Geography; Cartography; Computer science","score_opus":0.037105435604976866,"score_gpt":0.2318406014111086,"score_spread":0.19473516580613173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393700621","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018147285,0.00021295901,0.00059722725,0.00016313144,0.00006422503,0.000057476755,0.99288976,0.0015148338,0.0026856167],"genre_scores_gemma":[0.0013747959,0.000054909928,0.00085630664,0.000039116923,0.000006848901,0.000086935535,0.99682367,0.000059986745,0.0006973682],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922895,0.00016732051,0.00006251332,0.00021050153,0.00021933748,0.00011144959],"domain_scores_gemma":[0.9993901,0.0001054023,0.00004249599,0.00016578505,0.00023295866,0.000063280924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066667056,0.0029700454,0.0013836898,0.0028573382,0.00091378967,0.0013119195,0.0034319877,0.0016519513,0.021191323],"category_scores_gemma":[0.0016556698,0.0004112247,0.0011847949,0.004835682,0.00046693708,0.0010613893,0.0015277497,0.0015884095,0.031170826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060554125,0.000066558736,0.0010596279,0.0003893607,0.000041167554,0.00007022359,0.000026937107,0.0019591965,0.00016229546,0.00055706524,0.9880701,0.0075369678],"study_design_scores_gemma":[0.00026735337,0.000052473875,0.0075174463,0.0002493317,0.000053811167,0.0002754941,0.00028845447,0.010312573,0.0012323026,0.0022888281,0.9773876,0.000074262025],"about_ca_topic_score_codex":0.039316982,"about_ca_topic_score_gemma":0.10240348,"teacher_disagreement_score":0.039316982,"about_ca_system_score_codex":0.0013084412,"about_ca_system_score_gemma":0.0014778122,"threshold_uncertainty_score":0.07817626},"labels":[],"label_agreement":null},{"id":"W4393780946","doi":"10.5281/zenodo.6845099","title":"Geometric Control on Seismic Rupture and Earthquake Sequence along the Yingxiu-Beichuan Fault with Implications for the 2008 Wenchuan Earthquak","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Geological Survey of Canada; McGill University","funders":"","keywords":"Geology; Seismology; Sequence (biology); Fault (geology); Normal fault","score_opus":0.032718150898758645,"score_gpt":0.23342190788183556,"score_spread":0.2007037569830769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393780946","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99164855,0.000042806983,0.002360127,0.000073187235,0.000039093877,0.000021113414,0.001403225,0.00020382047,0.004208037],"genre_scores_gemma":[0.99657404,0.000021063082,0.0010208566,0.000009480528,0.0000044595286,0.000020343146,0.0014003658,0.000037345017,0.0009119501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99986565,0.000019880916,0.000006160066,0.000046803525,0.00002126357,0.000040177292],"domain_scores_gemma":[0.99983156,0.000028883509,0.000025536981,0.000035259352,0.00003572704,0.00004306439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018231393,0.0003844478,0.0004445594,0.00058804103,0.00046114737,0.0006632841,0.00078638305,0.00062940666,0.0048789536],"category_scores_gemma":[0.0006501176,0.000310932,0.00046762725,0.00092287763,0.0006257005,0.00027691116,0.00049015536,0.00040265062,0.0003639887],"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":[0.00018094368,0.00013804698,0.032524664,0.000047021407,0.000062294734,0.00036692098,0.00008298597,0.9527556,0.0039029713,0.0022073798,0.001676373,0.0060547707],"study_design_scores_gemma":[0.000104051884,0.000106864536,0.029212516,0.000010421191,0.000028178007,0.00006356186,0.00009761691,0.966362,0.0016245927,0.0008339235,0.0015255596,0.000030667405],"about_ca_topic_score_codex":0.03432397,"about_ca_topic_score_gemma":0.033805754,"teacher_disagreement_score":0.03432397,"about_ca_system_score_codex":0.00089866226,"about_ca_system_score_gemma":0.0009157023,"threshold_uncertainty_score":0.06824833},"labels":[],"label_agreement":null},{"id":"W4393804442","doi":"10.5281/zenodo.8325706","title":"Database of a study on long-term land cover changes in Thừa Thien Huế Province, Central Vietnam","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Term (time); Database; Cover (algebra); Geography; Archaeology; History; Computer science; Engineering; Physics","score_opus":0.04037450001989289,"score_gpt":0.25260038738529683,"score_spread":0.21222588736540393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393804442","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066378934,0.00003559725,0.00003538392,0.000023040417,0.0000072389416,0.000009900057,0.9988451,0.000054306045,0.0003255636],"genre_scores_gemma":[0.0015616955,0.000037840797,0.00012231946,0.000010572846,0.000002484439,0.00005421783,0.99783045,0.000022223277,0.00035815607],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996551,0.00004503014,0.0000551845,0.00009881697,0.00008215601,0.00006376253],"domain_scores_gemma":[0.99887425,0.00019011802,0.00015496617,0.00021379966,0.00035853073,0.00020833258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005489863,0.0008049387,0.0008619205,0.0025847664,0.000487693,0.0009415819,0.0015377004,0.00070944155,0.024282467],"category_scores_gemma":[0.001980958,0.0004575789,0.0005304291,0.0060102493,0.00025492572,0.0005379369,0.0010875765,0.00067909074,0.014766658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021942912,0.00007039449,0.011081698,0.0019078428,0.000116973744,0.00022325266,0.00021136714,0.0009536149,0.00056589924,0.0008668375,0.9777598,0.006023021],"study_design_scores_gemma":[0.00033125843,0.000037960013,0.082147405,0.0006697056,0.00008395621,0.00026237906,0.00059371465,0.00094060943,0.0009265558,0.0009061125,0.9130379,0.00006232388],"about_ca_topic_score_codex":0.101904646,"about_ca_topic_score_gemma":0.13864115,"teacher_disagreement_score":0.101904646,"about_ca_system_score_codex":0.0014947391,"about_ca_system_score_gemma":0.0031514468,"threshold_uncertainty_score":0.20262295},"labels":[],"label_agreement":null},{"id":"W4393839668","doi":"10.5281/zenodo.7306219","title":"Super resolution enhancement of Landsat imagery and detections of high-latitude lakes","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Remote Sensing and Land Use","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; Geology; High resolution; Latitude; Satellite imagery; Geography; Physical geography; Geodesy","score_opus":0.020689831116956645,"score_gpt":0.21144280142509722,"score_spread":0.1907529703081406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393839668","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26333073,0.0010738032,0.09149476,0.0008135457,0.0006457345,0.0010959499,0.5249602,0.013934404,0.102650784],"genre_scores_gemma":[0.24169928,0.0006825935,0.15351819,0.0003384869,0.00023284716,0.0010768634,0.5734753,0.0025105658,0.026465863],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994375,0.0000389817,0.000041928208,0.00011533166,0.00030341223,0.00006274129],"domain_scores_gemma":[0.99897313,0.000065453416,0.00007963518,0.00023318078,0.0006133339,0.00003530085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006485664,0.0003363082,0.00024406149,0.0024789139,0.00047941392,0.00063633826,0.00060694944,0.0003120816,0.010035012],"category_scores_gemma":[0.0012675668,0.00025493398,0.00046255157,0.0039501674,0.0001935471,0.0009550506,0.0006426022,0.0004692752,0.006208714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040112567,0.00035260906,0.06743937,0.0011705278,0.00016750318,0.00066689576,0.0013591528,0.010837414,0.0414991,0.0043468513,0.49393192,0.37782753],"study_design_scores_gemma":[0.00008947502,0.00008683297,0.3992398,0.00034415108,0.0001287933,0.0005182409,0.0007837904,0.022781506,0.028522586,0.0026413265,0.5447433,0.000120133984],"about_ca_topic_score_codex":0.019755011,"about_ca_topic_score_gemma":0.049446523,"teacher_disagreement_score":0.019755011,"about_ca_system_score_codex":0.00047614082,"about_ca_system_score_gemma":0.0009977254,"threshold_uncertainty_score":0.039280057},"labels":[],"label_agreement":null},{"id":"W4393931299","doi":"10.23977/acss.2024.080209","title":"Study on Vegetation Extraction from Riparian Zone Images Based on Cswin Transformer","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Riparian zone; Environmental science; Vegetation (pathology); Geography; Geology; Ecology; Biology; Habitat; Medicine","score_opus":0.01858749060954789,"score_gpt":0.26626106603755323,"score_spread":0.24767357542800533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393931299","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":[0.45123377,0.00105669,0.5400734,0.0001820363,0.000069199385,0.0001384349,0.0003037042,0.0016001333,0.0053426507],"genre_scores_gemma":[0.89568216,0.0005241882,0.10052759,0.00007452181,0.000015907031,0.000029684992,0.00053742225,0.0000632608,0.002545221],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998822,0.000013431645,0.0000064467745,0.000033778135,0.000038854563,0.000025255531],"domain_scores_gemma":[0.99987483,0.000034137123,0.000013105923,0.000019002235,0.000043472122,0.000015349273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026974134,0.00041542883,0.00029176145,0.0010161148,0.00018429154,0.00041372053,0.00050560595,0.0002859808,0.0011951306],"category_scores_gemma":[0.0005339332,0.00013524582,0.00035212224,0.0007475138,0.00024401261,0.0010124375,0.0002994427,0.00025430063,0.00024771705],"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":[0.00088585867,0.000166871,0.012384338,0.00033778074,0.00014603774,0.00049324014,0.00012307441,0.09831477,0.15769765,0.0057574506,0.0023952904,0.72129756],"study_design_scores_gemma":[0.000015825064,0.00013142238,0.0051607466,0.000008692674,0.000047570255,0.00027617422,0.0000711214,0.9371023,0.05457944,0.0012629037,0.0013305203,0.000013324438],"about_ca_topic_score_codex":0.004335061,"about_ca_topic_score_gemma":0.0059864726,"teacher_disagreement_score":0.004335061,"about_ca_system_score_codex":0.0003460543,"about_ca_system_score_gemma":0.00048680307,"threshold_uncertainty_score":0.008619666},"labels":[],"label_agreement":null},{"id":"W4394503080","doi":"10.6084/m9.figshare.24995255.v1","title":"Urban Calgary GNSS Skyplots data","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Remote Sensing and Land Use","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":"GNSS applications; Geography; Environmental science; Computer science; Global Positioning System; Telecommunications","score_opus":0.0702040497542245,"score_gpt":0.2616439321645235,"score_spread":0.19143988241029897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394503080","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00082633394,0.00007603529,0.0001363609,0.000048881055,0.000033578963,0.000017759703,0.99735534,0.0005993695,0.000906431],"genre_scores_gemma":[0.0011801951,0.000034140823,0.00044748973,0.000025078854,0.000006045503,0.000036917252,0.99756867,0.00008408977,0.0006173386],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993411,0.00007506749,0.00003933516,0.00015248275,0.00023369821,0.0001583442],"domain_scores_gemma":[0.9987853,0.0001228159,0.00007395258,0.00032415678,0.0005707502,0.00012293589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006781666,0.0019993512,0.0011396848,0.0028780908,0.00074534677,0.0013185787,0.002623671,0.0016960583,0.024128137],"category_scores_gemma":[0.0023101466,0.00062356895,0.0008152266,0.0069129327,0.00051420176,0.0006121659,0.0014213794,0.0014302003,0.03684231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010370845,0.000035180965,0.0015952794,0.00024679748,0.000044938814,0.000046786852,0.000039103365,0.002276295,0.00033690405,0.0003356855,0.9891205,0.005818802],"study_design_scores_gemma":[0.00045077445,0.000026504704,0.02189758,0.00024208565,0.00003950003,0.000057192206,0.0002076916,0.0047530723,0.0013487017,0.0012663453,0.9696398,0.00007076764],"about_ca_topic_score_codex":0.24730304,"about_ca_topic_score_gemma":0.36740774,"teacher_disagreement_score":0.752697,"about_ca_system_score_codex":0.0019307415,"about_ca_system_score_gemma":0.002529536,"threshold_uncertainty_score":0.49172717},"labels":[],"label_agreement":null},{"id":"W4394595019","doi":"10.18690/rg.2.1.2899","title":"Remote sensing data and their use in topoclimate study","year":2007,"lang":"en","type":"article","venue":"Journal for Geography","topic":"Remote Sensing and Land Use","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; Computer science; Geography; Environmental science; Data science","score_opus":0.04931506734194462,"score_gpt":0.2815083493080946,"score_spread":0.23219328196614997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394595019","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":[0.71052706,0.016107136,0.087219834,0.003343296,0.00042900097,0.00057516823,0.03950061,0.0010038672,0.14129402],"genre_scores_gemma":[0.9265556,0.0048860554,0.061652526,0.00014895482,0.00007322662,0.00013795304,0.0036160934,0.00008982829,0.0028397487],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99921477,0.0003833981,0.00008228381,0.000060905502,0.0002250013,0.00003363973],"domain_scores_gemma":[0.9977679,0.0011820338,0.00022148776,0.00028896873,0.00044273798,0.000096898526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013976402,0.00018706381,0.00018013343,0.0034887814,0.00024403563,0.0016622997,0.00029421313,0.00025168445,0.0023238899],"category_scores_gemma":[0.005359912,0.00014728,0.00014948065,0.0056563327,0.00033584586,0.0009164909,0.00052161666,0.0003268758,0.00044868584],"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":[0.00023876548,0.00013096513,0.26850042,0.00088791404,0.00020858829,0.0015768055,0.0019319423,0.013301106,0.009297786,0.025449337,0.010832301,0.667644],"study_design_scores_gemma":[0.00012127438,0.00021553454,0.5774414,0.0010650972,0.00037499948,0.0020329237,0.01383525,0.059770446,0.009072869,0.027520599,0.30832204,0.00022765007],"about_ca_topic_score_codex":0.031851046,"about_ca_topic_score_gemma":0.033953715,"teacher_disagreement_score":0.031851046,"about_ca_system_score_codex":0.0005601408,"about_ca_system_score_gemma":0.00064275967,"threshold_uncertainty_score":0.063331306},"labels":[],"label_agreement":null},{"id":"W4394597126","doi":"10.1109/ingarss59135.2023.10490416","title":"Hyperspectral Remote Sensing Reflectamce Data Augmentation Method For Red Tide Dominant Species Based On Condition Generative Adversarial Net","year":2023,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"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":"Ministry of Natural Resources","keywords":"Hyperspectral imaging; Adversarial system; Generative grammar; Net (polyhedron); Computer science; Remote sensing; Generative adversarial network; Artificial intelligence; Red tide; Computer vision; Environmental science; Image (mathematics); Geology; Mathematics; Oceanography","score_opus":0.07651544210088686,"score_gpt":0.3312550875717624,"score_spread":0.2547396454708756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394597126","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":[0.06360934,0.00027853387,0.9327281,0.00026716845,0.00007956284,0.000054384163,0.000070148104,0.00062980724,0.0022829706],"genre_scores_gemma":[0.92365265,0.00019936248,0.07031186,0.00022013752,0.000056248966,0.00009385335,0.0002073376,0.000065320484,0.005193188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996755,0.00007129017,0.00001331377,0.00010582204,0.00008103489,0.00005298532],"domain_scores_gemma":[0.99964213,0.00014929377,0.00005604286,0.00003825985,0.00008774746,0.000026629357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008067218,0.0008488238,0.0006026269,0.00042718713,0.00029883982,0.00051468646,0.0011375053,0.0006457856,0.0013105714],"category_scores_gemma":[0.0010103543,0.00034581075,0.00083558616,0.00032596278,0.00054638245,0.0007810575,0.000978501,0.0011009827,0.00026505764],"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":[0.00015579688,0.00007820412,0.001502577,0.000052764626,0.00005219921,0.00015324098,0.00007931226,0.90181845,0.009005709,0.0027936322,0.0012583946,0.08304968],"study_design_scores_gemma":[9.857016e-7,0.000009442314,0.00008190785,0.0000010681197,0.0000032140963,0.000007480185,0.0000026894197,0.9990089,0.0005300469,0.00027904374,0.00007317217,0.000002084008],"about_ca_topic_score_codex":0.0039510326,"about_ca_topic_score_gemma":0.003743654,"teacher_disagreement_score":0.0039510326,"about_ca_system_score_codex":0.00054996804,"about_ca_system_score_gemma":0.0004921549,"threshold_uncertainty_score":0.007856071},"labels":[],"label_agreement":null},{"id":"W4394772726","doi":"10.23977/acss.2024.080216","title":"Research on the Application of Computer Image Processing and Recognition Technology","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Image processing; Computer science; Artificial intelligence; Computer vision; Computer graphics (images); Image (mathematics)","score_opus":0.03922925357991981,"score_gpt":0.308741330215389,"score_spread":0.2695120766354692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394772726","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031119892,0.38127604,0.24651161,0.011724901,0.003276889,0.00026910738,0.00018102681,0.00034679222,0.3252938],"genre_scores_gemma":[0.35256517,0.46721116,0.12307677,0.0027739478,0.0044628237,0.00024026935,0.00035124578,0.000106068495,0.049212504],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985392,0.0002917595,0.00009349683,0.0002944783,0.00067005085,0.00011112006],"domain_scores_gemma":[0.9979752,0.0008004979,0.00011711432,0.00014168078,0.0008890808,0.00007654352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012564127,0.00056680496,0.0004811346,0.002254495,0.00065915805,0.0023170093,0.0009787434,0.0014150754,0.0038193497],"category_scores_gemma":[0.002803256,0.00024926604,0.00054399105,0.0037943423,0.0016734663,0.0032654887,0.0008623929,0.0014584742,0.0015428682],"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":[0.000046494708,0.0001342036,0.004712124,0.002348155,0.00006540866,0.00041388778,0.0010320744,0.003354044,0.009458671,0.3776223,0.011287533,0.58952504],"study_design_scores_gemma":[0.00001894268,0.00036059457,0.012069994,0.0017979308,0.00010457295,0.002119627,0.0012111013,0.016855909,0.017762939,0.1899961,0.75757074,0.00013161372],"about_ca_topic_score_codex":0.0023258107,"about_ca_topic_score_gemma":0.001000583,"teacher_disagreement_score":0.0038193497,"about_ca_system_score_codex":0.0012081647,"about_ca_system_score_gemma":0.0020520457,"threshold_uncertainty_score":0.012776971},"labels":[],"label_agreement":null},{"id":"W4396459304","doi":"10.15468/dl.j1qkvf","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Remote Sensing and Land Use","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":"Download; Computer science; Geography; World Wide Web","score_opus":0.017750535221433782,"score_gpt":0.21431440187135053,"score_spread":0.19656386664991676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396459304","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000074709584,0.000040667423,0.00005854004,0.00004983761,0.000016750806,0.000007790807,0.9984158,0.00064990175,0.0006859406],"genre_scores_gemma":[0.00017399991,0.000031663996,0.0001755778,0.000042133004,0.0000034680693,0.00003826728,0.99901664,0.00013621937,0.00038206074],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990544,0.00012688672,0.00011255207,0.00031400035,0.00022276875,0.0001694556],"domain_scores_gemma":[0.9980934,0.0004852369,0.00016251748,0.00052904274,0.00049748376,0.00023224275],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00087393704,0.0021111136,0.001626727,0.0047376077,0.0010277682,0.0024944427,0.0031640173,0.0022191396,0.12768205],"category_scores_gemma":[0.0051259515,0.0008240992,0.0012882217,0.008265694,0.00044738688,0.0023144225,0.0026987842,0.0020396623,0.19455849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003112953,0.000014114522,0.0003953579,0.0004285308,0.000015471214,0.00001700936,0.000020896288,0.00012917988,0.00010476522,0.0003259963,0.9970757,0.0014419678],"study_design_scores_gemma":[0.000099758516,0.000011666672,0.0023336986,0.00019770733,0.000017366208,0.00005528768,0.00008806951,0.00031344627,0.000244592,0.0008995541,0.99571866,0.000020146555],"about_ca_topic_score_codex":0.022217067,"about_ca_topic_score_gemma":0.03630781,"teacher_disagreement_score":0.87231797,"about_ca_system_score_codex":0.0015550191,"about_ca_system_score_gemma":0.0022620307,"threshold_uncertainty_score":0.42713898},"labels":[],"label_agreement":null},{"id":"W4396508809","doi":"10.18280/ts.410241","title":"Application of High-Resolution Satellite Imagery Techniques in the Assessment of Urban Park Green Cover","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remote sensing; Satellite imagery; Cover (algebra); Satellite; Geography; Environmental science; High resolution; Urban park; Physical geography; Environmental planning; Engineering","score_opus":0.011461599665970008,"score_gpt":0.23814012156579495,"score_spread":0.22667852189982493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396508809","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":[0.43880188,0.003781061,0.55073833,0.00024995147,0.00010044549,0.00015630708,0.000298572,0.00044629094,0.005427159],"genre_scores_gemma":[0.7765041,0.0014177444,0.22114173,0.000042809967,0.000041463416,0.00003515801,0.00015392559,0.000019334666,0.0006437017],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996501,0.00010204371,0.000018250086,0.00005691902,0.0001493639,0.00002335337],"domain_scores_gemma":[0.9996408,0.00011925833,0.00007632912,0.000040438463,0.00010166016,0.000021385431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007163754,0.000426856,0.00018723049,0.002372043,0.00015815833,0.0005512118,0.00029938333,0.00039042273,0.00041549417],"category_scores_gemma":[0.0007792873,0.00015421904,0.00033611336,0.0013093157,0.00028584778,0.0006841514,0.0004311627,0.00022591314,0.00018412959],"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":[0.00014385581,0.00020164457,0.05557286,0.00055776135,0.00019767652,0.00041914504,0.0002490971,0.061601285,0.13358383,0.0019454476,0.00095640233,0.7445711],"study_design_scores_gemma":[0.000028661336,0.0005007909,0.2084335,0.00013323467,0.00031706592,0.0012877925,0.0006771598,0.68743384,0.09094778,0.0036630172,0.006442464,0.00013461878],"about_ca_topic_score_codex":0.001317919,"about_ca_topic_score_gemma":0.003069672,"teacher_disagreement_score":0.002372043,"about_ca_system_score_codex":0.00016002296,"about_ca_system_score_gemma":0.00024030423,"threshold_uncertainty_score":0.0037885904},"labels":[],"label_agreement":null},{"id":"W4398389159","doi":"10.7910/dvn/ohwwnr/s64d96","title":"07 HyenaPhotopicLumAdjust-DSC159ZebraModelGrey.png","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geography","score_opus":0.015648507485558703,"score_gpt":0.20990523008023843,"score_spread":0.19425672259467971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398389159","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000121193734,0.000031879164,0.00007426484,0.000033741086,0.000017070326,0.000006147709,0.9971228,0.0016703192,0.00092250353],"genre_scores_gemma":[0.00041602727,0.000032034473,0.00020145562,0.000028739381,0.000006027555,0.00002367516,0.99794775,0.00040218516,0.0009421451],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960023,0.000057875037,0.000030031044,0.00014031863,0.00008650462,0.00008506123],"domain_scores_gemma":[0.9993536,0.00011407533,0.000052785665,0.00025302998,0.00013463656,0.00009191876],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004967019,0.0025446136,0.0012402955,0.0019814728,0.0005617614,0.0020809695,0.0025450275,0.0014757505,0.19751918],"category_scores_gemma":[0.0022478888,0.00081255275,0.001355829,0.0029528798,0.00037834962,0.0017694521,0.0021275138,0.0012423232,0.24207756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046063684,0.000011706745,0.00058863836,0.00026612965,0.000024390692,0.000011807724,0.000014374529,0.00027983848,0.000103484475,0.000311035,0.9967926,0.0015498486],"study_design_scores_gemma":[0.00023963337,0.000011864482,0.0024964858,0.00012240034,0.000021607724,0.000032162054,0.00004774383,0.0007732996,0.0005402096,0.0012692773,0.9944201,0.000025030045],"about_ca_topic_score_codex":0.02059689,"about_ca_topic_score_gemma":0.03999619,"teacher_disagreement_score":0.8024808,"about_ca_system_score_codex":0.00088970445,"about_ca_system_score_gemma":0.0011551776,"threshold_uncertainty_score":0.6607675},"labels":[],"label_agreement":null},{"id":"W4399609847","doi":"10.24043/001c.118786","title":"The Correlation Between Asian Port Cities and Traditional Portuguese Urban Forms Based on Map and Machine Learning Analyses","year":2024,"lang":"en","type":"article","venue":"Island Studies Journal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portuguese; Port (circuit theory); Geography; Economic geography; China; Urban morphology; Regional science; Economy; Cartography; Urban planning; Civil engineering; Engineering; Archaeology; Economics","score_opus":0.06584187430986368,"score_gpt":0.27693823485394686,"score_spread":0.21109636054408318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399609847","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":[0.98781943,0.00008317098,0.0016297471,0.000039412604,0.0000058867054,0.000013474585,0.0003048809,0.000024278135,0.010079725],"genre_scores_gemma":[0.99833775,0.000060824426,0.0010650629,0.0000035514133,0.0000034802363,0.0000064207843,0.00015966996,0.0000087129,0.00035459056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959236,0.00010950359,0.000035750898,0.000073035684,0.00013105276,0.000058265614],"domain_scores_gemma":[0.998123,0.00080403604,0.0004912389,0.00018786527,0.0002940926,0.000099651246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052376895,0.00026143572,0.00015033787,0.00302975,0.00046774943,0.0018496404,0.00020903292,0.0001822081,0.0020723213],"category_scores_gemma":[0.0037223767,0.00013394903,0.00030689925,0.004262993,0.0007333911,0.0006308859,0.00073809223,0.00021506095,0.00035454857],"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":[0.00017553904,0.00003978532,0.9412486,0.00008848031,0.000057754176,0.0004515184,0.0027437424,0.002286599,0.0016378446,0.0027133042,0.0004576051,0.048099283],"study_design_scores_gemma":[0.0000028322997,0.000028437093,0.98082775,0.000027293021,0.000027256916,0.00039509527,0.0064051626,0.008712005,0.0007958782,0.00067228515,0.0020910506,0.0000148501285],"about_ca_topic_score_codex":0.011129956,"about_ca_topic_score_gemma":0.023098657,"teacher_disagreement_score":0.011129956,"about_ca_system_score_codex":0.0004045162,"about_ca_system_score_gemma":0.00033679898,"threshold_uncertainty_score":0.02213031},"labels":[],"label_agreement":null},{"id":"W4400041222","doi":"10.18280/ts.410335","title":"Images Processing of Unmanned Aerial Vehicle (UAV) for Cannabis Identification","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Computer vision; Artificial intelligence; Computer science; Aeronautics; Remote sensing; Engineering; Geography; Biology","score_opus":0.014708559780687297,"score_gpt":0.23643080874371628,"score_spread":0.22172224896302897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400041222","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":[0.59304965,0.0024053338,0.34892508,0.00092081784,0.00065193005,0.0005048953,0.0073701763,0.0064931256,0.039679043],"genre_scores_gemma":[0.77890015,0.0012335769,0.19833246,0.00024008173,0.00008421627,0.00019145568,0.0054491023,0.00027249614,0.01529642],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980205,0.000015817532,0.000008797438,0.000037458507,0.00010549714,0.00003040167],"domain_scores_gemma":[0.99983907,0.000014928637,0.000020442112,0.000018101833,0.000097156626,0.00001019502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000138918,0.00048812857,0.00023265732,0.0012900468,0.0002756247,0.0004405464,0.00025843407,0.00029448114,0.0030234507],"category_scores_gemma":[0.00032681818,0.00013673483,0.00034158558,0.0007365654,0.00012204814,0.00042764697,0.00029289495,0.00030184898,0.0011683394],"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":[0.0005355227,0.00011789581,0.018650323,0.0007648713,0.00008573063,0.0013334263,0.0007737959,0.01490283,0.3208095,0.0015889773,0.021745145,0.61869186],"study_design_scores_gemma":[0.00008984865,0.0007947645,0.29500437,0.00026137763,0.00019940469,0.0021188464,0.003834994,0.2990111,0.29064667,0.003465851,0.104375355,0.00019750358],"about_ca_topic_score_codex":0.0039667855,"about_ca_topic_score_gemma":0.005718544,"teacher_disagreement_score":0.0039667855,"about_ca_system_score_codex":0.00020314787,"about_ca_system_score_gemma":0.0003174413,"threshold_uncertainty_score":0.010114431},"labels":[],"label_agreement":null},{"id":"W4400249024","doi":"10.3390/rs16132426","title":"Correction: Osouli, M.; F. Samavati, F. Evaluation of Data Sufficiency for Interannual Knowledge Transfer of Crop Type Classification Models. Remote Sens. 2024, 16, 2007","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"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 Calgary","funders":"Mitacs","keywords":"Remote sensing; Computer science; Geography","score_opus":0.13420597142163873,"score_gpt":0.3367304087773935,"score_spread":0.2025244373557548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400249024","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00048260292,0.0020229414,0.0026718276,0.027708353,0.95256245,0.00007255549,0.009609411,0.0013632443,0.003506564],"genre_scores_gemma":[0.06905748,0.016098617,0.028332362,0.052171923,0.38634497,0.00091319357,0.040838595,0.010114751,0.39612812],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943376,0.0008889024,0.0010105547,0.0010024119,0.0023504563,0.00041014366],"domain_scores_gemma":[0.94429076,0.007942061,0.0027564336,0.005074293,0.0383526,0.0015838335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052610547,0.0039260928,0.002847798,0.008844345,0.0033609935,0.0041269166,0.0048479326,0.0038161506,0.11587748],"category_scores_gemma":[0.10087322,0.0014692631,0.0021404447,0.0066923783,0.00205134,0.003246906,0.003266359,0.005894371,0.048749138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035128982,0.000005428488,0.00016806554,0.00031633396,0.000026110622,0.00014574353,0.000057541652,0.00007129127,0.00007984335,0.0006290968,0.99092907,0.0075363256],"study_design_scores_gemma":[0.00005241486,0.000020774565,0.002020926,0.00054172013,0.00008680596,0.0005186256,0.00013385573,0.0006138716,0.00061303267,0.001538836,0.9937976,0.00006138499],"about_ca_topic_score_codex":0.030119436,"about_ca_topic_score_gemma":0.028261993,"teacher_disagreement_score":0.11587748,"about_ca_system_score_codex":0.0030604645,"about_ca_system_score_gemma":0.005296478,"threshold_uncertainty_score":0.38764876},"labels":[],"label_agreement":null},{"id":"W4400485376","doi":"10.61091/jcmcc120-14","title":"An Image Identification System for Agricultural Items Based on Machine Vision","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Machine vision; Computer vision; Artificial intelligence; Agriculture; Computer science; Image (mathematics); Geography; Biology; Botany","score_opus":0.009006641324054895,"score_gpt":0.24400051958281424,"score_spread":0.23499387825875934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485376","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09305167,0.00045414336,0.87187344,0.00020330206,0.00018591291,0.00031917903,0.0008721872,0.023455402,0.009584783],"genre_scores_gemma":[0.5301194,0.00024387139,0.4577189,0.00021636592,0.000062279694,0.00027114592,0.0014245372,0.00020791839,0.009735531],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997149,0.000026379332,0.000012001834,0.00010571948,0.00010947243,0.000031398617],"domain_scores_gemma":[0.9997495,0.00003735327,0.000029161782,0.000051126317,0.00011520044,0.000017544062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035250027,0.00048164214,0.0006020869,0.0012226967,0.0004768737,0.0006991489,0.0007199181,0.00059657893,0.0037975425],"category_scores_gemma":[0.00047427954,0.00023692448,0.00042598526,0.00077034935,0.00016464842,0.0008922959,0.0004084463,0.00043916964,0.0032682973],"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":[0.00032993016,0.00038947933,0.005922708,0.00018642814,0.00008831153,0.00021421067,0.000119228695,0.01866146,0.15670389,0.002110519,0.00891661,0.80635726],"study_design_scores_gemma":[0.000034290348,0.00030601065,0.015875192,0.00003723261,0.00006990856,0.0004943241,0.00007944267,0.867716,0.09273875,0.0025106887,0.020066058,0.00007213154],"about_ca_topic_score_codex":0.0029799119,"about_ca_topic_score_gemma":0.004516496,"teacher_disagreement_score":0.0037975425,"about_ca_system_score_codex":0.0005394742,"about_ca_system_score_gemma":0.00044719648,"threshold_uncertainty_score":0.012704015},"labels":[],"label_agreement":null},{"id":"W4400941364","doi":"10.1016/j.rsase.2024.101308","title":"Exploring optimal features and image analysis methods for crop type classification from the perspective of crop landscape heterogeneity","year":2024,"lang":"en","type":"article","venue":"Remote Sensing Applications Society and Environment","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science; Fuzhou University; Ministry of Education; Ministry of Education of the People's Republic of China; State Key Laboratory of Resources and Environmental Information System; National Natural Science Foundation of China","keywords":"Perspective (graphical); Crop; Type (biology); Geography; Artificial intelligence; Computer science; Cartography; Ecology; Biology; Forestry","score_opus":0.05459855174682363,"score_gpt":0.29694930924799773,"score_spread":0.2423507575011741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400941364","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2235999,0.00076274393,0.77391034,0.0003555486,0.000021575399,0.000043854092,0.0001665067,0.0002076118,0.00093190605],"genre_scores_gemma":[0.8006979,0.00028828048,0.19766669,0.000045744106,0.000047703543,0.0000480571,0.0002854393,0.0000697646,0.0008503431],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964607,0.00011261272,0.000024834695,0.00009159751,0.00007499687,0.000049979313],"domain_scores_gemma":[0.9990177,0.0006329473,0.00009712479,0.00006200261,0.00016056446,0.000029649706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012445042,0.00047048813,0.0007280348,0.0018043906,0.00031072868,0.0012137116,0.00049805903,0.0005825676,0.0007273757],"category_scores_gemma":[0.002745215,0.00038214904,0.0009776154,0.0010495011,0.0004284046,0.0012203,0.000514201,0.0005459407,0.0001377757],"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":[0.00037246358,0.00035501496,0.014378068,0.0001770987,0.00021378719,0.00012071175,0.00014959344,0.39120534,0.02788376,0.010205412,0.0014592862,0.5534795],"study_design_scores_gemma":[0.000009283981,0.000035922178,0.0024252553,0.0000062445597,0.000024156303,0.00002210627,0.000040666866,0.9923004,0.0015062795,0.0034271614,0.00019587844,0.0000066136595],"about_ca_topic_score_codex":0.004297816,"about_ca_topic_score_gemma":0.004363882,"teacher_disagreement_score":0.004297816,"about_ca_system_score_codex":0.00051867386,"about_ca_system_score_gemma":0.000959815,"threshold_uncertainty_score":0.008545637},"labels":[],"label_agreement":null},{"id":"W4400941388","doi":"10.3390/rs16152717","title":"Use of Landsat Imagery Time-Series and Random Forests Classifier to Reconstruct Eelgrass Bed Distribution Maps in Eeyou Istchee","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Victoria; University of New Brunswick","funders":"Mitacs; Niskamoon Corporation","keywords":"Remote sensing; Random forest; Physical geography; Geology; Cartography; Geography; Computer science; Artificial intelligence","score_opus":0.017352630680916026,"score_gpt":0.2173786725916502,"score_spread":0.20002604191073417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400941388","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":[0.9944166,0.00007882334,0.004203847,0.000024360113,0.000007801234,0.000028527918,0.00063708716,0.00014580831,0.00045709466],"genre_scores_gemma":[0.9885747,0.00004948124,0.008980422,0.000009882544,0.0000048514817,0.000015465454,0.0019583674,0.000014129857,0.00039266716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983895,0.00002046429,0.000014886695,0.00005625976,0.000032235985,0.000037244772],"domain_scores_gemma":[0.9996106,0.00008904957,0.000063164756,0.00003521823,0.0001600444,0.00004191772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005593888,0.00039514684,0.00028604406,0.0024116337,0.00023255574,0.0006025973,0.0003614529,0.00029098,0.0003013791],"category_scores_gemma":[0.00080241234,0.00018989405,0.00038079842,0.00088842557,0.00012277487,0.00040588705,0.00017607282,0.00019203422,0.00024125764],"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":[0.00083455496,0.0007688973,0.5888584,0.00011601751,0.00024834077,0.0011735761,0.000528721,0.11493126,0.02930777,0.00027144243,0.0022839191,0.260677],"study_design_scores_gemma":[0.000035929763,0.00009620035,0.43739343,0.00003165892,0.00007605554,0.00016267975,0.0006926987,0.55565375,0.0046414644,0.00015611805,0.0010232761,0.000036776302],"about_ca_topic_score_codex":0.046457935,"about_ca_topic_score_gemma":0.07932139,"teacher_disagreement_score":0.95354205,"about_ca_system_score_codex":0.00047574413,"about_ca_system_score_gemma":0.00040903117,"threshold_uncertainty_score":0.09237504},"labels":[],"label_agreement":null},{"id":"W4401041662","doi":"10.1109/tii.2024.3424197","title":"Attention-Based Deep Neural Network Combined Local and Global Features for Indoor Scene Recognition","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","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":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; China University of Geosciences; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Artificial neural network; Computer vision; Deep neural networks; Pattern recognition (psychology)","score_opus":0.03380562032507523,"score_gpt":0.23827993571949752,"score_spread":0.2044743153944223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401041662","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05007634,0.0009713297,0.9417114,0.00019915884,0.00015045374,0.00006695256,0.00032072642,0.0033569618,0.0031467136],"genre_scores_gemma":[0.8280793,0.0005436669,0.16146761,0.00031950147,0.00011482561,0.00011519041,0.001372862,0.00017225204,0.007814824],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996903,0.00002795966,0.000012792177,0.00011003872,0.00007878344,0.000080193175],"domain_scores_gemma":[0.99981636,0.000034512217,0.000021400203,0.000031095504,0.00007769678,0.000018861889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000370504,0.0010442128,0.0008911407,0.0008136542,0.0002485773,0.00049217814,0.0014574981,0.0006141637,0.0017759198],"category_scores_gemma":[0.0005330187,0.00040434022,0.0008641726,0.0010327243,0.00028527522,0.001197539,0.00097618985,0.0011253286,0.0005734496],"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":[0.0002187342,0.00027152436,0.0024114654,0.00012465208,0.00017909288,0.00014649988,0.000062228726,0.3133223,0.044425383,0.0022510644,0.0057039093,0.63088316],"study_design_scores_gemma":[0.0000042785414,0.000039795344,0.000717143,0.0000047226035,0.000025667603,0.000028465225,0.000008181177,0.9926023,0.005180429,0.0007237954,0.0006570831,0.000008144916],"about_ca_topic_score_codex":0.01631824,"about_ca_topic_score_gemma":0.020288153,"teacher_disagreement_score":0.01631824,"about_ca_system_score_codex":0.0008803373,"about_ca_system_score_gemma":0.0008104719,"threshold_uncertainty_score":0.032446504},"labels":[],"label_agreement":null},{"id":"W4401055590","doi":"10.1111/tgis.13229","title":"Mountain Image Analysis Suite (<scp>MIAS</scp>): A new plugin for converting oblique images to landcover maps in <scp>QGIS</scp>","year":2024,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Plug-in; Suite; Geography; Cartography; Computer science; Operating system; Archaeology","score_opus":0.012300095288527654,"score_gpt":0.24876720876209718,"score_spread":0.23646711347356952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401055590","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067135114,0.00013161557,0.24261709,0.00019251213,0.00011840404,0.00029528167,0.0138737485,0.73038584,0.005672004],"genre_scores_gemma":[0.13264981,0.00055341644,0.4304853,0.0014609541,0.00018956982,0.00260155,0.118034884,0.27845478,0.03556975],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999503,0.00004503905,0.000033307817,0.00014055542,0.00021603677,0.000061961306],"domain_scores_gemma":[0.9993247,0.00023904926,0.000054377117,0.00013890331,0.00016822456,0.000074822754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000818256,0.0017280442,0.0005194551,0.00154859,0.00032922896,0.0014677172,0.002089135,0.00069295336,0.036692355],"category_scores_gemma":[0.0028436938,0.001218455,0.001325783,0.00090480916,0.00044744273,0.0016845135,0.0021086421,0.001646436,0.018397573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010828247,0.0003530435,0.010537067,0.0007870088,0.0004320772,0.00090073154,0.0008058174,0.011003678,0.026701707,0.0075803315,0.66286546,0.27695024],"study_design_scores_gemma":[0.0006113614,0.00025398386,0.027653182,0.00027462412,0.00013012905,0.0013109322,0.00022073089,0.26001072,0.08318658,0.014606065,0.61132884,0.0004128045],"about_ca_topic_score_codex":0.007297135,"about_ca_topic_score_gemma":0.007400653,"teacher_disagreement_score":0.036692355,"about_ca_system_score_codex":0.0005316386,"about_ca_system_score_gemma":0.00084181374,"threshold_uncertainty_score":0.12274814},"labels":[],"label_agreement":null},{"id":"W4401109758","doi":"10.1109/jstars.2024.3435559","title":"Spatial and Temporal Change Monitoring of Wetland Urban Ecology Based on a Remote Sensing Ecological Index Considering Full Elements","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":8,"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":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection; National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Index (typography); Wetland; Remote sensing; Ecology; Environmental science; Change detection; Environmental resource management; Computer science; Geography","score_opus":0.04007944440475792,"score_gpt":0.2442608146225479,"score_spread":0.20418137021778998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401109758","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":[0.99788934,0.00002270466,0.0013455435,0.0000094242605,0.0000019525332,0.000006471402,0.00021600931,0.000020556206,0.00048809728],"genre_scores_gemma":[0.99790514,0.000018447823,0.0016351404,0.0000027741135,0.0000017146291,0.000006882655,0.00031518124,0.0000015652112,0.00011327194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998946,0.000017799555,0.0000073379065,0.00002818084,0.0000339073,0.000018143248],"domain_scores_gemma":[0.99986386,0.0000182601,0.00004126818,0.000013172642,0.000044805114,0.000018575447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025565983,0.00015348583,0.000118375465,0.0010577026,0.00010804698,0.00028405554,0.00013104842,0.0001098243,0.00020101893],"category_scores_gemma":[0.00031154472,0.00006813573,0.0001494728,0.00082530355,0.00011040042,0.0003429724,0.00028595436,0.00008040435,0.00004564862],"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":[0.00010787857,0.00008872723,0.9185745,0.000052422558,0.000094184754,0.0001228102,0.00021736443,0.012335433,0.0156858,0.000364395,0.000424113,0.051932428],"study_design_scores_gemma":[0.000004132331,0.00005973451,0.9514258,0.0000050024723,0.000042841108,0.00006019888,0.0002562446,0.045183565,0.002216333,0.00009572321,0.0006385416,0.0000119257165],"about_ca_topic_score_codex":0.010293099,"about_ca_topic_score_gemma":0.024257632,"teacher_disagreement_score":0.010293099,"about_ca_system_score_codex":0.00024153313,"about_ca_system_score_gemma":0.00022100868,"threshold_uncertainty_score":0.020466387},"labels":[],"label_agreement":null},{"id":"W4401649643","doi":"10.5376/ijms.2024.14.0024","title":"Development and Application of Key Technologies in Marine Observation and Prediction","year":2024,"lang":"en","type":"article","venue":"International Journal of Marine Science","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Key (lock); Computer science; Systems engineering; Engineering; Computer security","score_opus":0.012701007119552405,"score_gpt":0.23167208867077532,"score_spread":0.2189710815512229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401649643","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043213524,0.094141535,0.7927099,0.0092135025,0.0014686553,0.0002943936,0.00066255615,0.00097261637,0.05732337],"genre_scores_gemma":[0.4690607,0.10190857,0.41981786,0.001140411,0.0015296025,0.00023965418,0.00070912245,0.00013222445,0.005461932],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985129,0.00037538423,0.000114058304,0.0002629587,0.00065167615,0.0000830365],"domain_scores_gemma":[0.997182,0.0012346564,0.0003103528,0.00036054157,0.0008166903,0.000095758216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025439519,0.00084073714,0.000496736,0.002120192,0.0005576217,0.0024030611,0.0009689055,0.0010552055,0.0012360029],"category_scores_gemma":[0.00464638,0.00039788426,0.0006533671,0.0024391725,0.0010896267,0.004287182,0.0023366862,0.0016599906,0.00059369544],"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":[0.000110067514,0.000103122526,0.024170665,0.0016992119,0.00013271016,0.0003021649,0.0005709032,0.028788593,0.016817298,0.105013944,0.004705494,0.8175859],"study_design_scores_gemma":[0.00003375291,0.00064508873,0.034725074,0.0025553547,0.00033163474,0.0011069366,0.0018283973,0.32191145,0.057181004,0.12047649,0.45891187,0.000292847],"about_ca_topic_score_codex":0.002541522,"about_ca_topic_score_gemma":0.0014168237,"teacher_disagreement_score":0.0025439519,"about_ca_system_score_codex":0.0009003175,"about_ca_system_score_gemma":0.0015701528,"threshold_uncertainty_score":0.013453901},"labels":[],"label_agreement":null},{"id":"W4401749842","doi":"10.1080/2150704x.2024.2388848","title":"Crop classification based on G-CNN using multi-scale remote sensing images","year":2024,"lang":"en","type":"article","venue":"Remote Sensing Letters","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Computer science; Remote sensing; Scale (ratio); Crop; Artificial intelligence; Environmental science; Geology; Cartography; Geography; Forestry","score_opus":0.03773929255656809,"score_gpt":0.2585599672577289,"score_spread":0.2208206747011608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401749842","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":[0.3694114,0.0011689683,0.6134679,0.00054801686,0.0003210267,0.00013714298,0.0007487507,0.004498532,0.009698365],"genre_scores_gemma":[0.88166946,0.00043711273,0.11134339,0.0002598455,0.000060738334,0.00005334977,0.0010075219,0.00007480996,0.0050936844],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998518,0.000010477551,0.000006160879,0.00005406742,0.000037242553,0.0000402721],"domain_scores_gemma":[0.99987626,0.000019634013,0.000022043894,0.000023023678,0.000046472396,0.00001250375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026378126,0.000848975,0.00034672432,0.0007745359,0.00021984665,0.00050050614,0.00068229804,0.00055963174,0.001384811],"category_scores_gemma":[0.00047471284,0.00025752865,0.0005679352,0.00062346464,0.00023305739,0.0008753072,0.00047251896,0.00045986427,0.0005188895],"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":[0.00034463033,0.00022262373,0.0137198465,0.000120289056,0.00025313234,0.00032636055,0.0000795088,0.23243453,0.07263038,0.0016870045,0.0050863503,0.6730954],"study_design_scores_gemma":[0.0000049222713,0.000031697982,0.0033194977,0.000007634808,0.000024267787,0.000047385416,0.000017392766,0.98644686,0.008742676,0.0006067338,0.00074184325,0.000009081156],"about_ca_topic_score_codex":0.010939108,"about_ca_topic_score_gemma":0.014190464,"teacher_disagreement_score":0.010939108,"about_ca_system_score_codex":0.0006577987,"about_ca_system_score_gemma":0.0003969716,"threshold_uncertainty_score":0.021750867},"labels":[],"label_agreement":null},{"id":"W4402116421","doi":"10.20944/preprints202401.1672.v2","title":"Pedestrian Detection in Aerial Image Based on Convolutional Neural Network with Attention Mechanism and Multi-scale Prediction","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"McGill University; Concordia University","funders":"Henan Provincial Science and Technology Research Project; Henan University","keywords":"Convolutional neural network; Pedestrian detection; Artificial intelligence; Computer science; Aerial image; Pattern recognition (psychology); Scale (ratio); Pedestrian; Mechanism (biology); Computer vision; Artificial neural network; Aerial imagery; Image (mathematics); Cartography; Geography; Engineering; Transport engineering","score_opus":0.04799815239874679,"score_gpt":0.26094610237557886,"score_spread":0.21294794997683208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402116421","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":[0.42792922,0.0027407694,0.54810643,0.0005728216,0.00038692055,0.0002063464,0.001043826,0.009738436,0.009275265],"genre_scores_gemma":[0.90762854,0.00071436743,0.08336015,0.0002696767,0.00008440137,0.00005699598,0.0014990165,0.00008563898,0.0063011902],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997899,0.0000128998545,0.000006739836,0.00008929229,0.00004538502,0.00005574813],"domain_scores_gemma":[0.99985456,0.000021174317,0.000022326838,0.000023305056,0.000060658578,0.00001800645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027908664,0.0010950826,0.00061305484,0.0011779862,0.0002804994,0.00036687677,0.00089237455,0.0004918489,0.0009774659],"category_scores_gemma":[0.0004944083,0.00035813963,0.0005679119,0.000624567,0.00023965191,0.0006134693,0.00048317914,0.00053803436,0.00043454865],"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":[0.00061157194,0.0003236178,0.017897496,0.00015433546,0.00019965581,0.00056220393,0.000102657825,0.20183238,0.048146408,0.0015815229,0.013055282,0.7155329],"study_design_scores_gemma":[0.000007881817,0.0000445789,0.0037972159,0.000007929398,0.00002872198,0.00009060904,0.000011814937,0.9882457,0.0066037783,0.0004207835,0.00073108834,0.000009932224],"about_ca_topic_score_codex":0.02776974,"about_ca_topic_score_gemma":0.036934175,"teacher_disagreement_score":0.02776974,"about_ca_system_score_codex":0.0008465887,"about_ca_system_score_gemma":0.0006219892,"threshold_uncertainty_score":0.055216193},"labels":[],"label_agreement":null},{"id":"W4402306603","doi":"10.18280/ts.410404","title":"Measurement of Street Greenness and Interface Permeability Based on Street View Image Analysis","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Anhui Jianzhu University; Tongji University","keywords":"Permeability (electromagnetism); Interface (matter); Computer science; Image (mathematics); Environmental science; Computer vision; Geography; Remote sensing; Meteorology; Chemistry","score_opus":0.020434545829542534,"score_gpt":0.2330490317512572,"score_spread":0.21261448592171467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402306603","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":[0.81480974,0.0005030586,0.17033146,0.00009462526,0.000046247522,0.00012241029,0.0021979392,0.0010427772,0.010851786],"genre_scores_gemma":[0.95894927,0.0002617645,0.03878026,0.00004531267,0.000018858334,0.000053863725,0.001098456,0.00008177582,0.0007104248],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997292,0.00003332031,0.000012574624,0.000056597655,0.00011755356,0.00005070895],"domain_scores_gemma":[0.9995522,0.00008772743,0.00009798142,0.000034250854,0.00019077629,0.000037143152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031416677,0.00041717596,0.00033167933,0.0031272036,0.0001802348,0.0010488913,0.00025660635,0.00043226275,0.0016275018],"category_scores_gemma":[0.0010259594,0.00018715051,0.00028671054,0.0014898443,0.0003430046,0.001143473,0.00058728765,0.0003467448,0.00047660194],"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":[0.0009814913,0.00043334265,0.1778897,0.0010425864,0.00043259177,0.00059423316,0.0012785748,0.044135112,0.42376238,0.008088491,0.0057669086,0.3355945],"study_design_scores_gemma":[0.00004082371,0.0002867461,0.51238513,0.00015052597,0.00033442798,0.001263053,0.001653388,0.3433111,0.12854324,0.0052176495,0.0066317166,0.00018227527],"about_ca_topic_score_codex":0.0018769957,"about_ca_topic_score_gemma":0.003268928,"teacher_disagreement_score":0.0031272036,"about_ca_system_score_codex":0.00022205085,"about_ca_system_score_gemma":0.0002092034,"threshold_uncertainty_score":0.0054445267},"labels":[],"label_agreement":null},{"id":"W4402777045","doi":"10.21608/jur.2024.307344.1164","title":"رصد وتحليل ظاهرة الزحف العمراني على الأراضي الزراعية باستخدام تقنيات (GeoAI) دراسة حالة مدن عواصم المحافظات الحبيسة في النصف الثاني من القرن العشرين Monitoring and Analyzing Urban Growth on Agricultural Lands Using (GeoAI) Techniques, Case Study: Capital Cities of Landlocked Governorates in the Second Half of the 20th Century","year":2024,"lang":"ar","type":"article","venue":"Journal of Urban Research /Journal of Urban Research","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Landlocked country; Agriculture; Capital (architecture); Geography; Capital city; Agricultural economics; Socioeconomics; Economics; Economic geography; Political science; Archaeology","score_opus":0.06629572903630163,"score_gpt":0.33698878144243977,"score_spread":0.27069305240613817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402777045","genre_codex":"other","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":[0.28398356,0.0018021719,0.043657195,0.0038540424,0.0003471595,0.0006598789,0.003979932,0.0010144141,0.6607017],"genre_scores_gemma":[0.48924485,0.0058518536,0.08728576,0.0008674825,0.00023501649,0.0012934811,0.0047001233,0.00079811516,0.40972337],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99884546,0.00021848475,0.0001139608,0.00015947275,0.0005501183,0.00011254785],"domain_scores_gemma":[0.9979808,0.0006442209,0.00037908144,0.00024035177,0.0006556696,0.00010001967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001265437,0.0003577583,0.00016346642,0.0015049981,0.0010481217,0.0036996012,0.00035648316,0.00064866344,0.054181892],"category_scores_gemma":[0.0030479247,0.00039119786,0.00023168155,0.0041604536,0.0017381163,0.0012710231,0.0012425611,0.0012010536,0.022703169],"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":[0.0004321117,0.0002528543,0.048747044,0.0010213929,0.00004580205,0.0015224627,0.025275147,0.003527121,0.05249756,0.069998726,0.032517005,0.7641627],"study_design_scores_gemma":[0.00004182127,0.00029363396,0.20188247,0.00050457416,0.000032624404,0.0013330015,0.030204467,0.0013921486,0.038758207,0.012667374,0.71278524,0.0001043522],"about_ca_topic_score_codex":0.010674222,"about_ca_topic_score_gemma":0.020887408,"teacher_disagreement_score":0.054181892,"about_ca_system_score_codex":0.0015528788,"about_ca_system_score_gemma":0.0026986236,"threshold_uncertainty_score":0.18125647},"labels":[],"label_agreement":null},{"id":"W4403266520","doi":"10.3397/in_2024_3575","title":"Setting up light and noise maps to define the contours of a reserve of darkness and silence in Sherbrooke, Québec, Canada","year":2024,"lang":"en","type":"article","venue":"NOISE-CON proceedings","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Cégep de Sherbrooke","funders":"","keywords":"Silence; Darkness; Noise (video); Computer science; Physics; Acoustics; Optics; Artificial intelligence","score_opus":0.007392429668209801,"score_gpt":0.19442991668048692,"score_spread":0.18703748701227713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403266520","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":[0.8746268,0.00059066666,0.029548388,0.0005938534,0.0000555237,0.00072453835,0.017808868,0.0010362649,0.075014934],"genre_scores_gemma":[0.9545441,0.00020071559,0.025881203,0.000082886516,0.000007309022,0.00022305125,0.0047220355,0.0001620445,0.014176635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999569,0.0000405344,0.0000103722205,0.000079880054,0.00017818918,0.00012211646],"domain_scores_gemma":[0.9988595,0.0000857923,0.000051596453,0.0000424026,0.0008324578,0.00012824994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003918518,0.00036874745,0.00023438553,0.0016465349,0.001997298,0.0015612689,0.00076817727,0.0002454268,0.0046122596],"category_scores_gemma":[0.00096467853,0.000181542,0.00022760993,0.0022371376,0.00061542995,0.00033382446,0.0006761266,0.00032291946,0.0006761025],"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":[0.00061298534,0.00042583165,0.5384391,0.00038543303,0.00013908626,0.0008053637,0.010550247,0.035506073,0.037894312,0.0062153856,0.039652117,0.3293741],"study_design_scores_gemma":[0.00003831617,0.0000604555,0.915408,0.00015520195,0.00002577856,0.00006553165,0.007925349,0.03150672,0.0046783537,0.00037220682,0.039660778,0.00010332322],"about_ca_topic_score_codex":0.9884809,"about_ca_topic_score_gemma":0.99718994,"teacher_disagreement_score":0.014782561,"about_ca_system_score_codex":0.014782561,"about_ca_system_score_gemma":0.01383517,"threshold_uncertainty_score":0.10725552},"labels":[],"label_agreement":null},{"id":"W4403390511","doi":"10.1109/jstars.2024.3476131","title":"Nonagriculturalization Detection Based on Vector Polygons and Contrastive Learning With High-Resolution Remote Sensing Images","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"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":"National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Computer science; Artificial intelligence; Support vector machine; Computer vision; Remote sensing; Resolution (logic); Pattern recognition (psychology); Geology","score_opus":0.010975374231424568,"score_gpt":0.19703379433328727,"score_spread":0.18605842010186271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403390511","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":[0.26287556,0.0004916,0.73078334,0.00014559425,0.000058444646,0.00018528664,0.0002864941,0.00257789,0.0025957087],"genre_scores_gemma":[0.72514766,0.00020532144,0.2715467,0.00008683416,0.00003461411,0.00009401951,0.001224721,0.00012854386,0.0015316766],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985923,0.00021576708,0.00008035898,0.0006307909,0.00034659784,0.00013405296],"domain_scores_gemma":[0.99844104,0.00045009027,0.00027758945,0.00039053947,0.00037905126,0.000061708226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015217714,0.0008416397,0.00069189025,0.0021530145,0.00042035335,0.001462938,0.0014271038,0.0006069506,0.00048571918],"category_scores_gemma":[0.0030113182,0.00029849497,0.0008930904,0.0012345656,0.000868568,0.0012445819,0.001119471,0.0010606928,0.00042539934],"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":[0.00047896334,0.00033183972,0.022664769,0.00018582611,0.00019249765,0.00029706035,0.00038976042,0.13405758,0.06536138,0.0031086297,0.002658484,0.7702732],"study_design_scores_gemma":[0.000010564403,0.000074661955,0.008626219,0.0000138720325,0.000031968277,0.00010076774,0.00010578522,0.9635752,0.024800641,0.0012972659,0.0013429306,0.000020083002],"about_ca_topic_score_codex":0.0062826215,"about_ca_topic_score_gemma":0.007444573,"teacher_disagreement_score":0.0062826215,"about_ca_system_score_codex":0.0005263353,"about_ca_system_score_gemma":0.0005555027,"threshold_uncertainty_score":0.01249212},"labels":[],"label_agreement":null},{"id":"W4404809328","doi":"10.1109/jstars.2024.3507815","title":"The GAN Spatiotemporal Fusion Model Based on Multiscale Convolution and Attention Mechanism for Remote Sensing Images","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"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":"Ministry of Natural Resources","keywords":"Convolution (computer science); Mechanism (biology); Computer science; Scale (ratio); Fusion; Remote sensing; Sensor fusion; Artificial intelligence; Artificial neural network; Physics; Geology","score_opus":0.023755808240319608,"score_gpt":0.23387278312261403,"score_spread":0.21011697488229442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404809328","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018059403,0.00041525057,0.97837514,0.00018873172,0.000046418078,0.000026035601,0.000093353265,0.00051152613,0.0022840884],"genre_scores_gemma":[0.847277,0.00066971476,0.1445884,0.0002784732,0.000074012096,0.000099239944,0.00042458402,0.00013270353,0.006455902],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980956,0.00003530582,0.0000075107796,0.000063177205,0.000057212532,0.000027305128],"domain_scores_gemma":[0.99984753,0.000056217606,0.000022153778,0.000023140077,0.00003958924,0.000011320654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046226877,0.0006303486,0.00045138353,0.00029770177,0.00015508052,0.00036457754,0.00096257566,0.0004548602,0.0011681792],"category_scores_gemma":[0.0007417239,0.00025373365,0.0007141853,0.0003450765,0.00032602897,0.0007065079,0.0005728176,0.00095166755,0.0002826826],"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":[0.00012283401,0.000044236185,0.0011829003,0.000084768195,0.00009709615,0.0001994523,0.000075418626,0.8277377,0.027657172,0.016767124,0.0032073373,0.12282397],"study_design_scores_gemma":[0.0000016618702,0.000012970021,0.00015377851,0.0000020531575,0.0000072480425,0.000035000194,0.0000021324636,0.9960603,0.0017780914,0.0015165706,0.00042688116,0.0000033289002],"about_ca_topic_score_codex":0.0041004783,"about_ca_topic_score_gemma":0.00419327,"teacher_disagreement_score":0.0041004783,"about_ca_system_score_codex":0.0006086404,"about_ca_system_score_gemma":0.00041834082,"threshold_uncertainty_score":0.0081532},"labels":[],"label_agreement":null},{"id":"W4404831787","doi":"10.18280/ijsdp.191106","title":"Spatio-Temporal Analysis Between Landcover Change and Urban Heat Island","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Urban heat island; Change analysis; Environmental science; Climate change; Change detection; Geography; Climatology; Physical geography; Remote sensing; Meteorology; Geology; Oceanography","score_opus":0.025017864903833502,"score_gpt":0.24840648350704794,"score_spread":0.22338861860321443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404831787","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":[0.99798834,0.00005225183,0.00021277218,0.00004785441,0.000006058437,0.0000035884716,0.0011830702,0.000011366516,0.00049461727],"genre_scores_gemma":[0.99888974,0.000017569728,0.000102768274,0.0000045059064,0.0000047658486,0.0000048179636,0.00073453895,0.0000020251573,0.00023917595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986887,0.000030291898,0.000011172199,0.00003093847,0.00002280729,0.000035918903],"domain_scores_gemma":[0.99905556,0.0004423583,0.0001783048,0.000053897358,0.00014396184,0.00012589907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039315652,0.00011126727,0.00012542312,0.0014510405,0.00029854223,0.0005058788,0.00023563899,0.00024467122,0.0032934835],"category_scores_gemma":[0.0010798455,0.00010777626,0.0003822766,0.0015045818,0.00023967291,0.00035368148,0.00027316922,0.0002316842,0.0003473498],"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":[0.00029996526,0.00008628871,0.98909014,0.00002573408,0.00015079002,0.000175655,0.00017920288,0.0024671305,0.0019082334,0.00028147007,0.0004432586,0.0048921728],"study_design_scores_gemma":[0.0000025676409,0.000024446068,0.9920697,0.0000029181688,0.000029826215,0.000055158456,0.00029635837,0.0069943345,0.00015740239,0.000063029715,0.00029999219,0.000004161798],"about_ca_topic_score_codex":0.029069722,"about_ca_topic_score_gemma":0.04817632,"teacher_disagreement_score":0.029069722,"about_ca_system_score_codex":0.0005201716,"about_ca_system_score_gemma":0.00029647618,"threshold_uncertainty_score":0.05780101},"labels":[],"label_agreement":null},{"id":"W4405388946","doi":"10.62051/14b9fc20","title":"Application Of Spatio-Temporal Remote Sensing Data Analysis in Fire Monitoring","year":2024,"lang":"en","type":"article","venue":"Transactions on Environment Energy and Earth Sciences","topic":"Remote Sensing and Land Use","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; Computer science; Environmental science; Geography","score_opus":0.021938341529537782,"score_gpt":0.22511789415844113,"score_spread":0.20317955262890336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405388946","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":[0.2597358,0.004847946,0.71591014,0.0015195463,0.00031729965,0.0002843258,0.0029507417,0.0011487039,0.013285526],"genre_scores_gemma":[0.7800745,0.0017180895,0.21610604,0.00012909496,0.00009083519,0.00007069719,0.0009620932,0.000044155437,0.0008044398],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99934727,0.00025001826,0.000070536495,0.00012576648,0.00017136683,0.000035070112],"domain_scores_gemma":[0.9987086,0.0005933403,0.00022977096,0.0001406245,0.00028342693,0.000044228327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001486362,0.00048215291,0.00026341708,0.003454868,0.00036385257,0.0010263753,0.0004466414,0.00042937568,0.0007446006],"category_scores_gemma":[0.002578926,0.00020837029,0.0006864916,0.0030469785,0.00035902538,0.0009896604,0.00047200304,0.00036967118,0.00021931468],"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":[0.00032272743,0.0003426029,0.14885783,0.00074142736,0.000587586,0.0010440177,0.00071493094,0.1523888,0.033338897,0.016446797,0.0033098857,0.6419045],"study_design_scores_gemma":[0.000026650754,0.0001674036,0.072274715,0.00017584432,0.00022897313,0.00067811325,0.001152004,0.87514246,0.017024806,0.014387963,0.018655855,0.0000852481],"about_ca_topic_score_codex":0.010121607,"about_ca_topic_score_gemma":0.011355438,"teacher_disagreement_score":0.010121607,"about_ca_system_score_codex":0.00054097135,"about_ca_system_score_gemma":0.000744668,"threshold_uncertainty_score":0.02012539},"labels":[],"label_agreement":null},{"id":"W4405778574","doi":"10.1109/jstars.2024.3522197","title":"Dual Strategy Based Improved Swarm Intelligence and Stacked LSTM With Residual Connection for Land Use Land Cover Classification","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Residual; Land cover; Computer science; Dual (grammatical number); Cover (algebra); Connection (principal bundle); Artificial intelligence; Land use; Remote sensing; Machine learning; Pattern recognition (psychology); Algorithm; Geology; Engineering","score_opus":0.053177536615188974,"score_gpt":0.24624493128469407,"score_spread":0.1930673946695051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405778574","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":[0.13965525,0.0018785427,0.84775877,0.0005333317,0.00034673756,0.000086059656,0.00028187965,0.0034016278,0.006057843],"genre_scores_gemma":[0.8688799,0.00034178756,0.12459652,0.0003036937,0.00010408019,0.000115954805,0.000618794,0.000117927826,0.004921307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978393,0.000034147957,0.000018152072,0.00007217921,0.000049594655,0.00004210465],"domain_scores_gemma":[0.9997905,0.00006551459,0.000031653126,0.0000242924,0.00007177976,0.000016252336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037669067,0.0011294897,0.0007323198,0.0005211125,0.0003280165,0.00074652536,0.0009831182,0.0007500956,0.0013688249],"category_scores_gemma":[0.0010120199,0.0003461315,0.00068144023,0.0006525774,0.0003426655,0.0010951369,0.00064928626,0.0008615794,0.00048814088],"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":[0.00019944418,0.00013276646,0.0023871905,0.00010535535,0.00019707295,0.00021220816,0.0001659462,0.56529653,0.015566857,0.0041653574,0.004680944,0.40689036],"study_design_scores_gemma":[0.000004756513,0.000028075436,0.00019882234,0.0000032487837,0.000012565683,0.000014386526,0.000009026585,0.99723357,0.0011387714,0.0010527672,0.000299573,0.000004454316],"about_ca_topic_score_codex":0.007056408,"about_ca_topic_score_gemma":0.008217139,"teacher_disagreement_score":0.007056408,"about_ca_system_score_codex":0.0004951606,"about_ca_system_score_gemma":0.00066030433,"threshold_uncertainty_score":0.014030695},"labels":[],"label_agreement":null},{"id":"W4406209629","doi":"10.1117/12.3055733","title":"Grading of wheat powdery mildew based on pixel point","year":2025,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Ministry of Agriculture","funders":"","keywords":"Powdery mildew; Grading (engineering); Computer science; Pixel; Artificial intelligence; Agronomy; Biology","score_opus":0.009405530219263524,"score_gpt":0.20977677870095696,"score_spread":0.20037124848169344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406209629","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":[0.6388353,0.0004401078,0.35225824,0.00008714654,0.000048701724,0.00022779412,0.00038728674,0.0017732828,0.0059420904],"genre_scores_gemma":[0.7582331,0.0004337217,0.23699307,0.00006006376,0.000021176393,0.000080703394,0.0005675857,0.0001322065,0.0034783878],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997316,0.000026672127,0.000021046959,0.00005512097,0.00014778144,0.000017735758],"domain_scores_gemma":[0.9995503,0.000045717283,0.00006666381,0.000038082624,0.0002618001,0.000037487276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033025694,0.0002722828,0.0002585965,0.001145689,0.00017334023,0.00054661004,0.0002346138,0.00027582687,0.0010330869],"category_scores_gemma":[0.0005762008,0.00017389498,0.00024192633,0.00038631266,0.00020492246,0.0005557964,0.00024154119,0.0002649788,0.00036483395],"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":[0.00012275252,0.000034321023,0.00881086,0.000096560936,0.000020133906,0.000051428884,0.00009477586,0.001387474,0.90014327,0.00043799472,0.0003336182,0.0884668],"study_design_scores_gemma":[0.000027202308,0.0005534686,0.15126674,0.000021883969,0.00011484372,0.0005300294,0.00020157278,0.08235846,0.7591077,0.0007207094,0.005022079,0.00007531757],"about_ca_topic_score_codex":0.0014082246,"about_ca_topic_score_gemma":0.0029834784,"teacher_disagreement_score":0.0014082246,"about_ca_system_score_codex":0.00023106165,"about_ca_system_score_gemma":0.00022680666,"threshold_uncertainty_score":0.0034560561},"labels":[],"label_agreement":null},{"id":"W4406517473","doi":"10.1016/s0967-0653(97)80679-5","title":"10.1016/s0967-0653(97)80679-5","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mangrove; Remote sensing; Satellite; Geography; Geographic information system; Cartography; Ecology; Biology; Engineering","score_opus":0.007828103287059551,"score_gpt":0.1574853843271905,"score_spread":0.14965728104013096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406517473","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042379016,0.00033278405,0.0005662632,0.00035487217,0.000314033,0.000114049224,0.00089215755,0.0007980114,0.99620396],"genre_scores_gemma":[0.00048941694,0.00015819281,0.0002889921,0.00020593191,0.00006563056,0.000060124064,0.00036906629,0.0001608198,0.9982017],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929047,0.000047815054,0.000061312014,0.00027420887,0.00017203679,0.00015407946],"domain_scores_gemma":[0.9976235,0.00057064224,0.00015948938,0.0002967862,0.0006078019,0.00074181514],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012353684,0.0032020968,0.002181515,0.0032031152,0.002634727,0.0043413183,0.00397414,0.0063643693,0.9908093],"category_scores_gemma":[0.001764196,0.0011645056,0.001705487,0.003101588,0.0023245576,0.006568081,0.0036106843,0.0031169916,0.99452597],"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":[0.00036131236,0.0002552389,0.0010013491,0.00061560964,0.000043071697,0.0002559574,0.00012757863,0.0004629491,0.0021089097,0.0057336767,0.42448503,0.5645493],"study_design_scores_gemma":[0.000059808648,0.000121139026,0.0007101636,0.00038026206,0.000015965446,0.00030198193,0.00012885177,0.000186578,0.00028882915,0.000549508,0.9972289,0.000027940763],"about_ca_topic_score_codex":0.004887553,"about_ca_topic_score_gemma":0.0042982143,"teacher_disagreement_score":0.009190679,"about_ca_system_score_codex":0.0012650833,"about_ca_system_score_gemma":0.0011184845,"threshold_uncertainty_score":0.013109326},"labels":[],"label_agreement":null},{"id":"W4406529129","doi":"10.1016/0967-0653(95)99687-m","title":"10.1016/0967-0653(95)99687-m","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Atmospheric sciences; Geology","score_opus":0.006623305731650511,"score_gpt":0.15407051450586234,"score_spread":0.14744720877421183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406529129","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042151296,0.00024510498,0.00050372304,0.00033314098,0.00024178714,0.00011304734,0.00084883044,0.00074417033,0.99654883],"genre_scores_gemma":[0.00058959104,0.00015408994,0.00030945026,0.0002380073,0.00006601362,0.00005472278,0.00039567606,0.00014908369,0.9980432],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947137,0.000038760005,0.000041447693,0.00020363269,0.00012350334,0.00012125013],"domain_scores_gemma":[0.9984157,0.00038139746,0.00009238115,0.00018866001,0.0003616851,0.0005601469],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00088578335,0.0025313713,0.0016948993,0.0028276932,0.0026715978,0.0032694875,0.0033506863,0.0053525013,0.9897742],"category_scores_gemma":[0.0014513638,0.0009975951,0.0014209267,0.002337153,0.0019626522,0.0051354994,0.0031557637,0.0022849068,0.99311054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031959533,0.00028683673,0.0011314086,0.00058096077,0.000037073267,0.00025833002,0.00012989965,0.00044021689,0.0024792682,0.004208675,0.5027383,0.48738942],"study_design_scores_gemma":[0.000052630658,0.000112318136,0.00095317396,0.00031497216,0.000015044935,0.00024975493,0.00013782072,0.00015360226,0.0002962275,0.00053800194,0.99715185,0.00002465298],"about_ca_topic_score_codex":0.005953761,"about_ca_topic_score_gemma":0.0056144563,"teacher_disagreement_score":0.010225773,"about_ca_system_score_codex":0.0009873388,"about_ca_system_score_gemma":0.0007917858,"threshold_uncertainty_score":0.014585733},"labels":[],"label_agreement":null},{"id":"W4407353854","doi":"10.3390/buildings15040524","title":"Regional Color Study of Traditional Village Based on Random Forest Model: Taking the Minjiang River Basin as an Example","year":2025,"lang":"en","type":"article","venue":"Buildings","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":"University of British Columbia","funders":"","keywords":"Random forest; Structural basin; Drainage basin; Sichuan basin; Hydrology (agriculture); Environmental science; Geography; Water resource management; Geology; Computer science; Geomorphology; Cartography; Artificial intelligence; Geochemistry; Geotechnical engineering","score_opus":0.05168523334527797,"score_gpt":0.24735825985978302,"score_spread":0.19567302651450505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407353854","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":[0.9731952,0.000093198454,0.0244207,0.00008194975,0.0000087341305,0.000044755634,0.00021308268,0.000069565765,0.0018727883],"genre_scores_gemma":[0.9967859,0.000029070816,0.0027530193,0.000004295284,0.0000024155559,0.000013919334,0.000097537355,0.000007845734,0.00030609107],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957377,0.00016858132,0.000013690377,0.00010139696,0.00006036044,0.00008211548],"domain_scores_gemma":[0.9994301,0.00024370682,0.000067808476,0.000040486313,0.00016724362,0.00005061706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083103275,0.00028794297,0.00031078054,0.001720485,0.00044008408,0.00090385706,0.0005647888,0.00025601985,0.0012670851],"category_scores_gemma":[0.0017876705,0.00016740018,0.00075151183,0.001582806,0.00054102554,0.0007234167,0.00049970124,0.00018959536,0.00011223164],"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":[0.0002932145,0.00021876616,0.60805,0.00012666323,0.0002038454,0.00097606645,0.0015185614,0.3307468,0.0028728861,0.011526864,0.0015863352,0.041880008],"study_design_scores_gemma":[0.000020378435,0.000051807358,0.1012513,0.000012557064,0.0000564276,0.00019068235,0.0011877752,0.8934777,0.00039328853,0.0025539405,0.00077364856,0.00003060441],"about_ca_topic_score_codex":0.042647913,"about_ca_topic_score_gemma":0.034677077,"teacher_disagreement_score":0.042647913,"about_ca_system_score_codex":0.00087011827,"about_ca_system_score_gemma":0.0006708551,"threshold_uncertainty_score":0.08479935},"labels":[],"label_agreement":null},{"id":"W4407634559","doi":"10.1080/17538947.2025.2466027","title":"Exploring trans-regional harvesting operation patterns based on multi-scale spatiotemporal partition using GNSS trajectory data","year":2025,"lang":"en","type":"article","venue":"International Journal of Digital Earth","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"University of Toronto","funders":"National Key Research and Development Program of China; Fuzhou University; Peking University; National Natural Science Foundation of China","keywords":"GNSS applications; Trajectory; Scale (ratio); Partition (number theory); Geography; Computer science; Network partition; Remote sensing; Data mining; Global Positioning System; Cartography; Mathematics; Database; Telecommunications","score_opus":0.21918893303040765,"score_gpt":0.3043536057007638,"score_spread":0.08516467267035616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407634559","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":[0.9196924,0.00018011541,0.07413557,0.0001451545,0.000022601824,0.000068699905,0.0030288112,0.00038891428,0.002337808],"genre_scores_gemma":[0.9728492,0.00014739945,0.023258049,0.000015833142,0.000010262156,0.000037580212,0.0030565595,0.000033283683,0.00059177785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998567,0.00002021148,0.000011214528,0.000053682445,0.000028592816,0.00002954381],"domain_scores_gemma":[0.99976224,0.000044533306,0.00005860339,0.000043278244,0.000067014545,0.000024362103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002216538,0.00036589825,0.0002135053,0.0021260534,0.0002554471,0.0006204427,0.00027360555,0.00018888676,0.00055491185],"category_scores_gemma":[0.0007031096,0.00012554709,0.00042697563,0.0025562432,0.00026397823,0.0006146904,0.0005312557,0.00022574906,0.00020956354],"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":[0.00018619485,0.00014769807,0.6132115,0.00022245251,0.0003001597,0.0006274101,0.001667635,0.18275122,0.029121963,0.004806046,0.0038646776,0.16309309],"study_design_scores_gemma":[0.000012605197,0.000048997368,0.4745667,0.000044729983,0.00009453691,0.00014628598,0.0025391714,0.50874007,0.0037785277,0.003868072,0.00611215,0.00004816644],"about_ca_topic_score_codex":0.031687,"about_ca_topic_score_gemma":0.06380664,"teacher_disagreement_score":0.031687,"about_ca_system_score_codex":0.00041576102,"about_ca_system_score_gemma":0.0006211518,"threshold_uncertainty_score":0.06300509},"labels":[],"label_agreement":null},{"id":"W4407687667","doi":"10.1016/j.compag.2025.110008","title":"JuDifformer: Multimodal fusion model with transformer and diffusion for jujube disease detection","year":2025,"lang":"en","type":"article","venue":"Computers and Electronics in Agriculture","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":11,"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":"Tsinghua University; Energy Council of Canada; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Fusion; Transformer; Artificial intelligence; Computer science; Biological system; Nuclear engineering; Engineering; Biology; Electrical engineering","score_opus":0.0032610087986015696,"score_gpt":0.18037853780505383,"score_spread":0.17711752900645228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407687667","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":[0.0115666455,0.00034069156,0.9852642,0.00012840635,0.000059939986,0.000031526928,0.0001376064,0.0015464448,0.0009245117],"genre_scores_gemma":[0.6757903,0.0006039124,0.31031162,0.00019638399,0.00007061805,0.00015678733,0.00072233274,0.00025676007,0.011891317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986243,0.000027306183,0.000007617646,0.000045353525,0.000036717054,0.000020605125],"domain_scores_gemma":[0.9998641,0.000051347342,0.000011397214,0.0000156136,0.000048871792,0.000008652948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006960833,0.00064518454,0.0007341016,0.0004317132,0.00029368265,0.00048628575,0.0009414707,0.0008491336,0.002424642],"category_scores_gemma":[0.00090436236,0.00028693888,0.00075010094,0.00041613413,0.00022161852,0.0010408707,0.0008256284,0.0008593001,0.0006463157],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029571052,0.00010609901,0.0013533494,0.000108648754,0.00015577425,0.000110742956,0.000085828564,0.58991426,0.009678307,0.007979792,0.0057867575,0.38442475],"study_design_scores_gemma":[0.000003978819,0.00001324549,0.00012753178,0.0000023872992,0.000008321027,0.000012911797,0.0000034680584,0.9969463,0.0011140034,0.0012085144,0.0005539223,0.0000054185725],"about_ca_topic_score_codex":0.010576894,"about_ca_topic_score_gemma":0.009361442,"teacher_disagreement_score":0.010576894,"about_ca_system_score_codex":0.00048785246,"about_ca_system_score_gemma":0.0005093883,"threshold_uncertainty_score":0.021030664},"labels":[],"label_agreement":null},{"id":"W4407947745","doi":"10.2139/ssrn.5158083","title":"A Method to Develop Residential Archetypes by Associating Thermophysical Building Attributes with Utility Meter Data","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Metre; Archetype; Architectural engineering; Econometrics; Computer science; Data science; Engineering; Mathematics; Physics; Art","score_opus":0.031199191264872677,"score_gpt":0.29819392935377675,"score_spread":0.26699473808890406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407947745","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":[0.003828065,0.000021764507,0.99353373,0.0000213444,0.000014683775,0.000046893038,0.00048104732,0.001452502,0.0005998795],"genre_scores_gemma":[0.0457265,0.000052939828,0.95120925,0.000016194264,0.000009247678,0.00011074267,0.0013201087,0.00023526851,0.001319755],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961483,0.0000620476,0.000024100776,0.0001313247,0.00013593279,0.00003168912],"domain_scores_gemma":[0.9989164,0.00043693616,0.00006578398,0.00028188503,0.00025922566,0.000039893002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065402215,0.0007027756,0.00042399752,0.002190192,0.00051445886,0.0010318108,0.00088965526,0.0005870893,0.004560177],"category_scores_gemma":[0.0028312854,0.0005243589,0.0012079179,0.0019874724,0.0003935368,0.001015838,0.0011794278,0.00095847575,0.0023810226],"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":[0.00016366265,0.00028054402,0.0123107955,0.00029813245,0.00020407714,0.00038693554,0.00065525965,0.05714969,0.039147068,0.034705177,0.009480632,0.845218],"study_design_scores_gemma":[0.00003805069,0.00006726356,0.0050674807,0.000061634506,0.000105661995,0.0006288447,0.00034657912,0.8853586,0.030238621,0.036305614,0.041705042,0.0000766037],"about_ca_topic_score_codex":0.003980154,"about_ca_topic_score_gemma":0.0064437077,"teacher_disagreement_score":0.004560177,"about_ca_system_score_codex":0.00026040632,"about_ca_system_score_gemma":0.0008578819,"threshold_uncertainty_score":0.015255272},"labels":[],"label_agreement":null},{"id":"W4408041848","doi":"10.18280/ts.420116","title":"Thin Cloud Removal from Multi-Spectral Remote Sensing Images Based on the Physical Model of Thin Cloud","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Cloud computing; Remote sensing; Computer science; Materials science; Environmental science; Geology","score_opus":0.0248733425360371,"score_gpt":0.23493157749305985,"score_spread":0.21005823495702275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408041848","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":[0.41728824,0.00071969326,0.57806134,0.00024030522,0.00011233465,0.000095883624,0.0005733596,0.0008469306,0.00206189],"genre_scores_gemma":[0.88341224,0.00061210815,0.11350981,0.000105413834,0.00004895714,0.00003970179,0.00086538726,0.0001154765,0.0012908659],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990165,0.00000776541,0.0000042898128,0.000024666377,0.000036659712,0.000024873521],"domain_scores_gemma":[0.9998349,0.000040016144,0.000031319592,0.000028962466,0.000044518067,0.000020155374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002091675,0.00051618466,0.00048492718,0.00066589395,0.00031280812,0.0006487067,0.0006380484,0.00041454507,0.0005939761],"category_scores_gemma":[0.00044618838,0.0002837962,0.0006814831,0.00052248524,0.00026881095,0.0007910554,0.0003874041,0.00054507033,0.00022185213],"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":[0.00047658675,0.00023553705,0.016728548,0.0003709078,0.00023097805,0.0010636944,0.00016310568,0.37942675,0.40780982,0.004963009,0.0027692728,0.18576187],"study_design_scores_gemma":[0.000014523404,0.000016826747,0.007452195,0.000012807208,0.000036360994,0.00012587415,0.0000209443,0.97792894,0.012988742,0.0009204264,0.00046107447,0.000021357188],"about_ca_topic_score_codex":0.0092970515,"about_ca_topic_score_gemma":0.01100504,"teacher_disagreement_score":0.0092970515,"about_ca_system_score_codex":0.00030324445,"about_ca_system_score_gemma":0.00065329357,"threshold_uncertainty_score":0.018485844},"labels":[],"label_agreement":null},{"id":"W4408364771","doi":"10.5194/essd-2025-83","title":"CY-Bench: A comprehensive benchmark dataset for sub-national crop yield forecasting","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"University of Manitoba","funders":"HORIZON EUROPE Digital, Industry and Space","keywords":"Benchmark (surveying); Yield (engineering); Crop; Agricultural engineering; Environmental science; Engineering; Geography; Forestry; Cartography; Materials science","score_opus":0.11087290151044028,"score_gpt":0.28624189283051915,"score_spread":0.17536899132007888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408364771","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0560305,0.0006850537,0.008601271,0.0007828459,0.00028104457,0.0001512002,0.9230248,0.006131013,0.0043122503],"genre_scores_gemma":[0.038639545,0.00016350704,0.008109178,0.00012239456,0.000027300386,0.00014901675,0.9518165,0.00019050283,0.00078211323],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991836,0.00015514268,0.0000965141,0.00026946014,0.00019941565,0.00009595096],"domain_scores_gemma":[0.99777883,0.00053037406,0.00022306603,0.0004980945,0.00080398226,0.00016573699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015172536,0.0013624085,0.00064620207,0.0019149063,0.0004275917,0.0011508069,0.0023783452,0.0014984317,0.0039957725],"category_scores_gemma":[0.005710871,0.00026098717,0.00094519084,0.003775254,0.00033698828,0.0013469504,0.0011868678,0.0011664418,0.0040932214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072414987,0.0005034668,0.04537154,0.0009944388,0.0004552896,0.00029917294,0.00011328317,0.12148622,0.003874103,0.003236283,0.75251156,0.07043057],"study_design_scores_gemma":[0.0005835464,0.00046670446,0.13144457,0.00033187747,0.00014152544,0.00030183225,0.0004968861,0.45938092,0.007917566,0.007816105,0.39085826,0.0002603344],"about_ca_topic_score_codex":0.039451167,"about_ca_topic_score_gemma":0.040431272,"teacher_disagreement_score":0.039451167,"about_ca_system_score_codex":0.0014767346,"about_ca_system_score_gemma":0.0013419202,"threshold_uncertainty_score":0.07844311},"labels":[],"label_agreement":null},{"id":"W4408408956","doi":"10.1080/07038992.2025.2479299","title":"Correction","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geography; Computer science; Information retrieval; Library science; Cartography","score_opus":0.010237197618166142,"score_gpt":0.20363592179179427,"score_spread":0.19339872417362813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408408956","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003965764,0.0014167235,0.0017436029,0.033735085,0.91095227,0.000091845934,0.0110695725,0.0021658503,0.038428415],"genre_scores_gemma":[0.015696099,0.0057328125,0.0051381346,0.021872545,0.18139327,0.00026876133,0.020763723,0.0045636888,0.74457103],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99587715,0.00046137723,0.0004633385,0.00073223247,0.0020819346,0.00038386733],"domain_scores_gemma":[0.96487015,0.0043668267,0.0012762547,0.0035104137,0.02463144,0.0013449035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024667531,0.0019334428,0.001225306,0.0068709003,0.0029470578,0.0058343904,0.0024520212,0.0034209006,0.3332677],"category_scores_gemma":[0.044644065,0.00088771357,0.0013956963,0.0051390408,0.0015200952,0.00430559,0.0029923564,0.005200398,0.17877874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023059878,0.0000036143547,0.000086973225,0.00010183844,0.0000054020493,0.00006038955,0.000021687702,0.000032324537,0.000042664033,0.00097519904,0.98895174,0.009695101],"study_design_scores_gemma":[0.000012229419,0.000006159932,0.00033556658,0.0001223184,0.000007263243,0.00011739508,0.000040730105,0.00006142325,0.00017483879,0.0006041094,0.99850523,0.000012733051],"about_ca_topic_score_codex":0.015571487,"about_ca_topic_score_gemma":0.014484727,"teacher_disagreement_score":0.3332677,"about_ca_system_score_codex":0.0037176586,"about_ca_system_score_gemma":0.0054298546,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4408431523","doi":"10.5194/egusphere-egu25-13301","title":"Application of remotely sensed and modeled soil moisture for anticipating crop production shocks in food-insecure countries&amp;#160;","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Environmental science; Production (economics); Crop; Food security; Food processing; Agricultural engineering; Water content; Moisture; Crop production; Soil science; Agricultural economics; Agroforestry; Hydrology (agriculture); Agronomy; Geography; Economics; Ecology; Forestry; Agriculture; Meteorology; Geology; Biology; Food science; Geotechnical engineering; Engineering","score_opus":0.02539255610569045,"score_gpt":0.25776078431725763,"score_spread":0.2323682282115672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408431523","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":[0.99104977,0.00033029725,0.0046331985,0.00029291442,0.000034244138,0.000043654218,0.0018794974,0.00026617947,0.0014701474],"genre_scores_gemma":[0.9937236,0.00015347658,0.0048214407,0.000029820147,0.000013453098,0.000014196004,0.0010997187,0.000008787548,0.00013550966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997212,0.0000999577,0.000023069513,0.000091094764,0.00003332284,0.000031168907],"domain_scores_gemma":[0.9990953,0.00044825257,0.00015456913,0.00013761385,0.00010166313,0.00006247826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009317013,0.000576825,0.0004040535,0.0007389153,0.00019179926,0.0008541128,0.00059343886,0.0008337223,0.0006910366],"category_scores_gemma":[0.002553787,0.00025392993,0.00051742856,0.00079861656,0.00014873435,0.0010415779,0.00047233567,0.00045735188,0.00015897176],"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":[0.0006567507,0.0005262565,0.19836158,0.00013486994,0.00039957746,0.00034349746,0.00013048678,0.7152378,0.00568876,0.00060450885,0.0013618018,0.076554105],"study_design_scores_gemma":[0.000043698496,0.0001489583,0.07517022,0.000025780515,0.000037761387,0.00003528184,0.00015718765,0.92156106,0.0019579553,0.00031884716,0.0005133572,0.000029927776],"about_ca_topic_score_codex":0.023293735,"about_ca_topic_score_gemma":0.01821628,"teacher_disagreement_score":0.023293735,"about_ca_system_score_codex":0.0004633552,"about_ca_system_score_gemma":0.00039137522,"threshold_uncertainty_score":0.046316326},"labels":[],"label_agreement":null},{"id":"W4408440629","doi":"10.5194/egusphere-egu25-4981","title":"Taiwan's mountain building and landscape evolution: A cosmogenic perspective","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"ASTER","funders":"","keywords":"Perspective (graphical); Geography; Earth science; Physical geography; Geology; Archaeology; Visual arts; Art","score_opus":0.010464537815017562,"score_gpt":0.23724637972106372,"score_spread":0.22678184190604617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408440629","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":[0.9552033,0.006573733,0.0015802867,0.0023945996,0.000029077368,0.0000104768105,0.0003751416,0.00004115673,0.033792242],"genre_scores_gemma":[0.99611497,0.001983575,0.00034853205,0.00007579596,0.00003126953,0.0000044122658,0.00019333995,0.000010876944,0.0012373569],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999304,0.000019127148,0.0000023973378,0.000015507978,0.0000077157165,0.000024862022],"domain_scores_gemma":[0.9998728,0.000020008325,0.000034068205,0.000013817473,0.000023241937,0.000036057772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016751788,0.00015497454,0.000120388315,0.0011909906,0.0005773624,0.0018731591,0.00036071587,0.0002864313,0.0026896747],"category_scores_gemma":[0.0003534627,0.000097853495,0.00017428739,0.0022147463,0.0011211514,0.00082463934,0.0007754808,0.0003634426,0.00011735451],"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":[0.00016751078,0.00009068782,0.67691326,0.0004723536,0.00026524774,0.0037221476,0.025347037,0.0075006494,0.009992914,0.07942448,0.0051913825,0.1909123],"study_design_scores_gemma":[0.000005123886,0.000096213655,0.93239266,0.000110738496,0.000051206935,0.0007337949,0.012612118,0.003028791,0.00036004657,0.008580068,0.04200033,0.000029030562],"about_ca_topic_score_codex":0.019481257,"about_ca_topic_score_gemma":0.03678814,"teacher_disagreement_score":0.019481257,"about_ca_system_score_codex":0.0011930197,"about_ca_system_score_gemma":0.00039195077,"threshold_uncertainty_score":0.038735688},"labels":[],"label_agreement":null},{"id":"W4408685658","doi":"10.25165/j.ijabe.20241706.9179","title":"Classification of wild mushrooms based on improved ShuffleNetV2","year":2024,"lang":"en","type":"article","venue":"International journal of agricultural and biological engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus","funders":"","keywords":"Mushroom; Biology; Horticulture; Mathematics; Botany","score_opus":0.013956190946409005,"score_gpt":0.2018344122548617,"score_spread":0.1878782213084527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408685658","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":[0.3533461,0.0019069542,0.6125022,0.0009203505,0.000532029,0.00027622972,0.003619074,0.013487557,0.013409419],"genre_scores_gemma":[0.87864476,0.0006382127,0.09852025,0.0005500051,0.00009694538,0.000288641,0.0074245315,0.0002964512,0.013540225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997403,0.000028822102,0.000016800372,0.000097691176,0.00005771761,0.000058734367],"domain_scores_gemma":[0.9997825,0.00004614975,0.000018862906,0.000033087374,0.00009627401,0.000023136698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043651537,0.0014817541,0.0009758101,0.0011936511,0.00041482417,0.0008266124,0.002287073,0.00096836156,0.0022678701],"category_scores_gemma":[0.00062094023,0.00038159426,0.001192555,0.000777116,0.0003292823,0.001642048,0.0010029548,0.00077055086,0.0013213024],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007131275,0.00035387414,0.013849746,0.00026900176,0.00027879825,0.00047957542,0.00012025886,0.56571645,0.02482905,0.0036483477,0.015093293,0.37464854],"study_design_scores_gemma":[0.000008621694,0.00004640022,0.00061539165,0.0000060483508,0.000016018597,0.000046005112,0.000016026848,0.9942557,0.0030128239,0.000845538,0.0011224763,0.000008978372],"about_ca_topic_score_codex":0.013263812,"about_ca_topic_score_gemma":0.013758967,"teacher_disagreement_score":0.013263812,"about_ca_system_score_codex":0.0009791394,"about_ca_system_score_gemma":0.0010088802,"threshold_uncertainty_score":0.026373208},"labels":[],"label_agreement":null},{"id":"W4409035914","doi":"10.22214/ijraset.2025.67974","title":"Study on Global Vegetation Dynamics Based on Remote Sensing Big Data","year":2025,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Remote Sensing and Land Use","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; Vegetation (pathology); Big data; Environmental science; Dynamics (music); Computer science; Geography; Data mining; Physics","score_opus":0.08925231857367169,"score_gpt":0.3815679803575113,"score_spread":0.2923156617838396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409035914","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":[0.97729105,0.0015261326,0.0073694126,0.0010151024,0.00010135446,0.000047935755,0.008379253,0.0001864681,0.004083247],"genre_scores_gemma":[0.9892708,0.00061311404,0.0029733405,0.000095289404,0.00006104585,0.00003038655,0.006566522,0.000025099562,0.00036437373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959856,0.00007675188,0.000031712334,0.00011932132,0.000105200415,0.00006843896],"domain_scores_gemma":[0.99894947,0.00038789547,0.00026089922,0.00014202183,0.000170267,0.00008949537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077567215,0.0004582083,0.00034230796,0.002563157,0.00027037397,0.00088728184,0.00035254582,0.00037085087,0.0006427189],"category_scores_gemma":[0.0016167022,0.00017155585,0.0005883928,0.003969343,0.00025427202,0.0019501927,0.0005676516,0.00038042272,0.00014250196],"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":[0.0000732155,0.00011742237,0.9197921,0.0002737251,0.00034496657,0.0006828873,0.00045246916,0.015647413,0.0026612983,0.0023812524,0.004423439,0.053149827],"study_design_scores_gemma":[0.0000067718224,0.000047378137,0.9143706,0.000055576325,0.00009191633,0.0002242128,0.0012729437,0.075360976,0.0008440969,0.0015669463,0.006130175,0.00002844466],"about_ca_topic_score_codex":0.008105614,"about_ca_topic_score_gemma":0.010368949,"teacher_disagreement_score":0.008105614,"about_ca_system_score_codex":0.00049143133,"about_ca_system_score_gemma":0.00032645912,"threshold_uncertainty_score":0.016116858},"labels":[],"label_agreement":null},{"id":"W4409096694","doi":"10.1088/1748-9326/adc825","title":"Simulation of regional rainfall observation using urban surveillance camera networks","year":2025,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Environmental science; Computer science; Remote sensing; Meteorology; Geography","score_opus":0.053218657830078564,"score_gpt":0.29002574291777644,"score_spread":0.23680708508769788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409096694","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":[0.9734374,0.00008026818,0.024585968,0.00012341067,0.000025387137,0.000041358653,0.0003380474,0.00021052588,0.0011575745],"genre_scores_gemma":[0.99748343,0.000025159885,0.002126023,0.0000073026404,0.0000019770673,0.000015434352,0.00015861067,0.0000030213791,0.00017912539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965596,0.00011098111,0.000019843603,0.00007872276,0.000054649405,0.000079787496],"domain_scores_gemma":[0.9986798,0.0006763981,0.00021217954,0.000075765995,0.00025398296,0.00010191502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007891629,0.00063266273,0.00044150226,0.0004775012,0.0003686327,0.00047788437,0.0009343561,0.0007992099,0.0008532282],"category_scores_gemma":[0.0018587409,0.00029541415,0.00051196525,0.00059251336,0.00054505863,0.000639069,0.0005465116,0.0006014879,0.00007513126],"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":[0.000038655333,0.000020115762,0.003397484,0.0000062384997,0.000009014472,0.00003753624,0.000007646209,0.9953484,0.00023539217,0.00015566828,0.00004964532,0.00069423777],"study_design_scores_gemma":[0.000004034038,0.000010625628,0.00045933636,5.4340705e-7,0.000001946303,0.0000022872946,0.0000060774055,0.9993549,0.0001124945,0.000034037894,0.000012294048,0.0000015034186],"about_ca_topic_score_codex":0.040348254,"about_ca_topic_score_gemma":0.018454442,"teacher_disagreement_score":0.040348254,"about_ca_system_score_codex":0.0010995886,"about_ca_system_score_gemma":0.00057489105,"threshold_uncertainty_score":0.08022684},"labels":[],"label_agreement":null},{"id":"W4409225412","doi":"10.2139/ssrn.5208926","title":"The Impact of Urban Heat Island on Snow Properties and Stratigraphy","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Stratigraphy; Snow; Urban heat island; Geology; Physical geography; Geography; Environmental science; Geomorphology; Meteorology; Paleontology; Tectonics","score_opus":0.012874232138855315,"score_gpt":0.22272808549490075,"score_spread":0.20985385335604545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409225412","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":[0.9973564,0.00010177269,0.00007370797,0.0001245855,0.000008461631,0.0000016383905,0.0004476222,0.0000057034304,0.0018801214],"genre_scores_gemma":[0.9994105,0.000049456095,0.0000134020265,0.000008124191,0.0000074734285,6.0368706e-7,0.00017005567,0.0000049796254,0.00033540747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998683,0.000045660792,0.000005012818,0.000020989017,0.000015463953,0.00004454597],"domain_scores_gemma":[0.9987374,0.0006536765,0.00013946687,0.00008416661,0.00013804238,0.00024737662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002710383,0.00018937059,0.00019655823,0.00034378408,0.00030934537,0.0007668951,0.0002599608,0.0003896371,0.007475884],"category_scores_gemma":[0.0015644147,0.00013683227,0.000379834,0.0006934481,0.00045951808,0.0004832515,0.00048180882,0.00033768086,0.00057494314],"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":[0.00049676147,0.00011941886,0.98014575,0.0000291539,0.0001988843,0.0003831762,0.00019734786,0.00660387,0.003277958,0.000463401,0.0007492284,0.0073350766],"study_design_scores_gemma":[0.0000026236696,0.000022998007,0.99751914,0.0000024334847,0.000034964884,0.000021032389,0.00022602419,0.001702649,0.00016870248,0.00011458467,0.0001821635,0.0000026894227],"about_ca_topic_score_codex":0.038106866,"about_ca_topic_score_gemma":0.040637847,"teacher_disagreement_score":0.038106866,"about_ca_system_score_codex":0.0004642635,"about_ca_system_score_gemma":0.00042285482,"threshold_uncertainty_score":0.07577008},"labels":[],"label_agreement":null},{"id":"W4409570863","doi":"10.61091/jcmcc127a-001","title":"Research on the Evolution Mechanism of Street Morphology in Ongi Village Based on Spatial Syntax and Genetic Algorithm Optimisation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Morphology (biology); Syntax; Space syntax; Computer science; Algorithm; Geography; Evolutionary biology; Artificial intelligence; Biology; Zoology; Epistemology; Space (punctuation); Philosophy","score_opus":0.01876268752321733,"score_gpt":0.26089719377636167,"score_spread":0.24213450625314434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409570863","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":[0.72774667,0.0007292698,0.26237544,0.00047082052,0.000049978138,0.00014104223,0.00014140722,0.00017476655,0.008170563],"genre_scores_gemma":[0.94204897,0.00044799663,0.05496906,0.00003897628,0.000010990326,0.00010664046,0.00014086801,0.000035072444,0.002201469],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955744,0.00014566361,0.000025107534,0.00012261391,0.00008144016,0.0000677212],"domain_scores_gemma":[0.9994711,0.0002611562,0.00007899547,0.000028040842,0.00013197056,0.000028643459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008329072,0.0005491064,0.00056302245,0.0019681088,0.0007144,0.0014532856,0.00077552185,0.00070240896,0.0011302943],"category_scores_gemma":[0.0022536542,0.0003154691,0.0010624035,0.0020428998,0.0008394083,0.0015609433,0.00065357226,0.0004657429,0.00008745512],"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":[0.000057581594,0.00009416603,0.08148199,0.00033320396,0.00026411985,0.00061661494,0.0011410826,0.7512221,0.011434635,0.04403857,0.000966478,0.10834943],"study_design_scores_gemma":[0.00001768857,0.00006496054,0.027445184,0.00003546211,0.000082033046,0.00017824593,0.0005707777,0.957175,0.001389466,0.011529833,0.0014728216,0.000038453654],"about_ca_topic_score_codex":0.009823221,"about_ca_topic_score_gemma":0.008464339,"teacher_disagreement_score":0.009823221,"about_ca_system_score_codex":0.0012494868,"about_ca_system_score_gemma":0.0014006444,"threshold_uncertainty_score":0.019532084},"labels":[],"label_agreement":null},{"id":"W4409576377","doi":"10.61091/jcmcc127a-107","title":"Research on intelligent perception and optimization model of urban green space based on support vector regression","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perception; Space (punctuation); Support vector machine; Computer science; Regression; Artificial intelligence; Regression analysis; Machine learning; Psychology; Statistics; Mathematics","score_opus":0.03456864305272691,"score_gpt":0.2946548418554145,"score_spread":0.26008619880268763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576377","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":[0.18140818,0.0012699616,0.810958,0.0009082934,0.00009843389,0.0000777434,0.00015346597,0.0004472137,0.0046787923],"genre_scores_gemma":[0.9671339,0.0008318926,0.029104834,0.000075762066,0.000041239306,0.00011213363,0.00021401701,0.000028597524,0.0024576245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935097,0.00020789323,0.000038251328,0.0001725686,0.0001440875,0.00008630945],"domain_scores_gemma":[0.99930453,0.00037612958,0.00008761525,0.000024617535,0.0001804254,0.000026681846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011367411,0.0007729826,0.00078674627,0.00082752306,0.000320091,0.0012255698,0.0010341756,0.00091690064,0.0012880678],"category_scores_gemma":[0.0026170264,0.00037980216,0.0010766755,0.00097428146,0.00040666285,0.0015705252,0.00053382793,0.0010915492,0.00019161118],"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":[0.000029479861,0.0000651054,0.0062449025,0.00009861167,0.0000768261,0.00009187202,0.0000949092,0.96026146,0.0009134391,0.0064965114,0.0006843483,0.024942523],"study_design_scores_gemma":[0.000001628459,0.00000758436,0.00047787727,0.000004081292,0.000004748526,0.0000042139472,0.000011189968,0.99860746,0.000078126795,0.0007095006,0.00008974322,0.000003854483],"about_ca_topic_score_codex":0.0235204,"about_ca_topic_score_gemma":0.007852705,"teacher_disagreement_score":0.0235204,"about_ca_system_score_codex":0.00072964904,"about_ca_system_score_gemma":0.0013465482,"threshold_uncertainty_score":0.046766996},"labels":[],"label_agreement":null},{"id":"W4409602136","doi":"10.61091/jcmcc127b-058","title":"Spatial Distribution Patterns of Urban Historic Building Groups Combined with Algebraic Geometry and Their Planning and Design Strategies Research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Jilin Province; People's Government of Jilin Province","keywords":"Geometry; Distribution (mathematics); Spatial distribution; Geography; Mathematics education; Regional science; Architectural engineering; Mathematics; Engineering; Remote sensing; Mathematical analysis","score_opus":0.022331838491171815,"score_gpt":0.2572272856467368,"score_spread":0.23489544715556498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602136","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":[0.99372065,0.00007128216,0.003161406,0.000019474897,0.0000017314403,0.000028429788,0.00023944244,0.000029433768,0.0027280482],"genre_scores_gemma":[0.99714273,0.000043071956,0.002107081,0.0000011548505,0.0000013100255,0.000012522145,0.00030551082,0.000004382342,0.00038229596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951863,0.00008438361,0.00003063499,0.0001313876,0.00015524976,0.00007976839],"domain_scores_gemma":[0.99942183,0.00017108227,0.00010915379,0.00005743543,0.0002049329,0.00003559482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039510013,0.0002647263,0.00021456406,0.0038850966,0.0004395644,0.0010143815,0.00035622375,0.00014932736,0.001365385],"category_scores_gemma":[0.0010761843,0.00022217557,0.00031259554,0.006240818,0.0005649716,0.0005223859,0.00055631023,0.000112078495,0.0001512264],"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":[0.000113725866,0.00006884128,0.84822685,0.00019657792,0.00011981162,0.0005205005,0.00437798,0.030601429,0.0069203577,0.011057972,0.000836631,0.09695935],"study_design_scores_gemma":[0.000004748923,0.000047276328,0.9473541,0.000018657991,0.00005542571,0.0003037407,0.004809065,0.041881327,0.0014312436,0.001347955,0.0027188556,0.000027688668],"about_ca_topic_score_codex":0.019152766,"about_ca_topic_score_gemma":0.029976001,"teacher_disagreement_score":0.019152766,"about_ca_system_score_codex":0.0010219914,"about_ca_system_score_gemma":0.0005796443,"threshold_uncertainty_score":0.03808254},"labels":[],"label_agreement":null},{"id":"W4409603858","doi":"10.61091/jcmcc127b-151","title":"Construction of a Dynamic Early Warning Model for Cyanobacterial Blooms in Lake Taihu Combining Long-Time-Series Satellite Remote Sensing Data and Computational Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Warning system; Remote sensing; Series (stratigraphy); Environmental science; Satellite; Time series; Computer science; Meteorology; Geography; Machine learning; Telecommunications; Geology; Engineering","score_opus":0.014641808097654143,"score_gpt":0.24983130536403944,"score_spread":0.2351894972663853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603858","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":[0.2847344,0.00026372026,0.7094035,0.0006408244,0.000059336042,0.00006234503,0.00021394747,0.0009130889,0.00370874],"genre_scores_gemma":[0.981766,0.00015289833,0.015841521,0.000038325405,0.00001677538,0.00008296813,0.0002107459,0.000018456934,0.0018722959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989116,0.000013685768,0.000007498996,0.00003879611,0.000025022104,0.000023751123],"domain_scores_gemma":[0.9998934,0.000029565892,0.00002323211,0.0000041118874,0.000037884405,0.000011726375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002676267,0.0005829958,0.00039126366,0.0004661377,0.00038401943,0.00073101866,0.00076070573,0.00054514385,0.0007657533],"category_scores_gemma":[0.00055361015,0.0003371249,0.00048297815,0.00030945244,0.00025589467,0.00080377026,0.00063593657,0.00056886504,0.00009308227],"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":[0.00003293015,0.000026344598,0.0035707064,0.000026996438,0.000024721143,0.00007450708,0.000056535264,0.97769564,0.0019943628,0.0015973657,0.00032971712,0.01457008],"study_design_scores_gemma":[0.000001851523,0.0000050576114,0.00025918242,8.331202e-7,0.0000039099486,0.0000024430178,0.000005253093,0.9993013,0.00011742573,0.0002501556,0.000050510775,0.0000020114467],"about_ca_topic_score_codex":0.03652507,"about_ca_topic_score_gemma":0.017438358,"teacher_disagreement_score":0.03652507,"about_ca_system_score_codex":0.00078009575,"about_ca_system_score_gemma":0.0014154089,"threshold_uncertainty_score":0.07262492},"labels":[],"label_agreement":null},{"id":"W4409787584","doi":"10.61091/jcmcc127a-267","title":"Automated Classification and Change Detection of Remote Sensing Images Based on Convolutional Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Convolutional neural network; Change detection; Computer science; Artificial intelligence; Pattern recognition (psychology); Remote sensing; Geography","score_opus":0.018683186807937794,"score_gpt":0.24173013918585856,"score_spread":0.22304695237792077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787584","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":[0.13559875,0.00086639,0.85509557,0.00022768123,0.00009692401,0.00007119552,0.00021742452,0.0038962946,0.003929766],"genre_scores_gemma":[0.86100304,0.0006126849,0.13271214,0.00012545213,0.000060241742,0.00006923725,0.000582958,0.00010289054,0.0047312547],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996594,0.000031031264,0.00001731935,0.00010665213,0.00012531721,0.00006022461],"domain_scores_gemma":[0.9997781,0.0000564045,0.000044000273,0.000038433063,0.00007114249,0.000011918209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002698728,0.00080460595,0.0004777853,0.0010933696,0.00022508344,0.000569601,0.00088983413,0.0005326508,0.0009898433],"category_scores_gemma":[0.00073902373,0.00034290666,0.0006734565,0.00075189694,0.0003768309,0.0012013315,0.00044770297,0.0005331135,0.00034166308],"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":[0.00024115978,0.00017052129,0.0071040685,0.00013400028,0.00013901027,0.00024572248,0.00008851532,0.32600024,0.07632027,0.004009697,0.0029209557,0.58262587],"study_design_scores_gemma":[0.00000260872,0.00001425028,0.0013663854,0.000003390033,0.000011984341,0.00002260103,0.000006196132,0.99058086,0.0069414144,0.0005549761,0.00048864644,0.0000066289113],"about_ca_topic_score_codex":0.015721275,"about_ca_topic_score_gemma":0.014748404,"teacher_disagreement_score":0.015721275,"about_ca_system_score_codex":0.00088038057,"about_ca_system_score_gemma":0.0005070838,"threshold_uncertainty_score":0.031259537},"labels":[],"label_agreement":null},{"id":"W4409795120","doi":"10.61091/jcmcc127b-444","title":"Eco-environmental landscape characterization data based on artificial intelligence and neural network algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Characterization (materials science); Computer science; Artificial intelligence; Nanotechnology; Materials science","score_opus":0.021446224528085003,"score_gpt":0.2356769289799303,"score_spread":0.2142307044518453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795120","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":[0.273303,0.0007146794,0.711595,0.0003961725,0.00009002765,0.00020922917,0.004103728,0.0013970383,0.00819104],"genre_scores_gemma":[0.8725748,0.00042720334,0.11971341,0.00006851412,0.000037458918,0.00023170603,0.0051456382,0.000059163325,0.0017420956],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956924,0.0000617309,0.000047534366,0.00013135052,0.00015734819,0.00003278225],"domain_scores_gemma":[0.9995795,0.00011062498,0.000061609666,0.000056993103,0.0001693204,0.000021997623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037318072,0.0005043261,0.00042382962,0.0029007695,0.00028073348,0.0009946001,0.00064877537,0.00049006287,0.0012290417],"category_scores_gemma":[0.0018126466,0.00015977217,0.0005521996,0.0035963883,0.00027311247,0.0019627362,0.00052561815,0.00039498584,0.0003026899],"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":[0.00022724217,0.00026168584,0.08041753,0.0004492449,0.00024127157,0.00044586873,0.0002879209,0.33629498,0.010343157,0.012558652,0.0053690923,0.5531035],"study_design_scores_gemma":[0.0000068973613,0.000034100467,0.022325918,0.000027420285,0.000030928994,0.00010489479,0.00019752567,0.9648721,0.0029747852,0.006587292,0.0028112158,0.000027028766],"about_ca_topic_score_codex":0.0061383597,"about_ca_topic_score_gemma":0.007969682,"teacher_disagreement_score":0.0061383597,"about_ca_system_score_codex":0.00063679175,"about_ca_system_score_gemma":0.00040675432,"threshold_uncertainty_score":0.012205243},"labels":[],"label_agreement":null},{"id":"W4409795201","doi":"10.61091/jcmcc127b-509","title":"Numerical simulation of spatial-temporal coupling characteristics in the evolution of urban-rural landscape","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coupling (piping); Geography; Urban landscape; Computer simulation; Statistical physics; Environmental science; Computer science; Environmental planning; Physics; Simulation; Engineering","score_opus":0.009319262847489771,"score_gpt":0.233577316648992,"score_spread":0.22425805380150224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795201","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":[0.9327341,0.00026033339,0.05717937,0.00042408964,0.000053174168,0.000041734813,0.00034569576,0.00022793075,0.008733555],"genre_scores_gemma":[0.99502426,0.000071039176,0.0039452403,0.000016021808,0.0000040893283,0.000027576645,0.00009425371,0.000011183318,0.0008063193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984944,0.00003880574,0.000010309589,0.000030440042,0.000027228622,0.000043898755],"domain_scores_gemma":[0.99940586,0.00030363566,0.00009392532,0.0000369416,0.0000928531,0.00006685764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039749872,0.00038052065,0.00041465927,0.00057952915,0.0006279342,0.00065037474,0.00073291844,0.0009169901,0.0015582629],"category_scores_gemma":[0.0016035348,0.00030549685,0.0006615792,0.0008760193,0.0006061962,0.00064336177,0.0006855652,0.0004733099,0.000085364896],"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":[0.000018654791,0.000017875276,0.0040150736,0.0000152542725,0.000011154891,0.00008179961,0.000048224454,0.992247,0.0005056341,0.001875271,0.00014101352,0.0010230024],"study_design_scores_gemma":[0.0000034572045,0.0000034601928,0.00043222232,0.0000012847811,0.0000023849536,0.0000048714473,0.0000132473615,0.9991918,0.00005429377,0.00022784836,0.00006265478,0.0000024590836],"about_ca_topic_score_codex":0.048403528,"about_ca_topic_score_gemma":0.019426472,"teacher_disagreement_score":0.048403528,"about_ca_system_score_codex":0.0010292507,"about_ca_system_score_gemma":0.0008180357,"threshold_uncertainty_score":0.09624356},"labels":[],"label_agreement":null},{"id":"W4409870166","doi":"10.3389/feart.2025.1526129","title":"Dynamic display algorithm of sonar data based on grayscale distribution model and computational intelligence","year":2025,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"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":"Computer Modelling Group","keywords":"Grayscale; Computer science; Sonar; Artificial intelligence; Algorithm; Scale (ratio); Computer vision; Computer graphics (images); Image (mathematics)","score_opus":0.010888817815981831,"score_gpt":0.24061222244420613,"score_spread":0.2297234046282243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409870166","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":[0.013367012,0.00023358627,0.98343277,0.00010558492,0.000034130182,0.000035173147,0.000032145155,0.00085048267,0.0019091156],"genre_scores_gemma":[0.5735638,0.001120557,0.41731244,0.00018294394,0.00007602174,0.00015700104,0.00033199324,0.00031548683,0.0069396053],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995504,0.000036890186,0.000025151836,0.00013669947,0.00021285418,0.000038063496],"domain_scores_gemma":[0.9996569,0.00008907222,0.00003859331,0.000054837088,0.00014406785,0.000016469603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040999815,0.0005949824,0.0005439019,0.0011425497,0.00032747595,0.0010317051,0.000833656,0.00043859018,0.0017980686],"category_scores_gemma":[0.001204918,0.0002785531,0.00075051066,0.0009988971,0.00061679696,0.0018045659,0.0005412189,0.00073019677,0.0005960041],"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":[0.00017977298,0.00008866623,0.00396553,0.00017127168,0.00008941212,0.00014522407,0.0002510987,0.123254426,0.0642901,0.020008828,0.003412893,0.7841428],"study_design_scores_gemma":[0.0000105079835,0.000058542297,0.0021368403,0.000010280055,0.000026741214,0.00022248914,0.00003769469,0.9643797,0.026103595,0.003989163,0.0029951297,0.000029319328],"about_ca_topic_score_codex":0.0047395728,"about_ca_topic_score_gemma":0.0031533616,"teacher_disagreement_score":0.0047395728,"about_ca_system_score_codex":0.00084307167,"about_ca_system_score_gemma":0.0006501108,"threshold_uncertainty_score":0.009423971},"labels":[],"label_agreement":null},{"id":"W4409909352","doi":"10.18280/ts.420248","title":"Spatial Differentiation and Dynamic Evolution Analysis of Cropland Non-Grain Transformation in China Based on Remote Sensing Imagery","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Transformation (genetics); Remote sensing; Geography; Environmental science; Computer science; Biology; Archaeology","score_opus":0.003955318116972278,"score_gpt":0.1994041774660951,"score_spread":0.19544885934912282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409909352","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":[0.9993622,0.00003242529,0.00014556918,0.000015998956,0.0000016135107,0.0000023234686,0.00017896167,0.000008400143,0.0002526095],"genre_scores_gemma":[0.9993179,0.000017508397,0.000101682184,0.0000029100931,0.0000018779067,0.0000016903764,0.00034009267,0.000002092179,0.00021434591],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982315,0.000015372752,0.000011155847,0.00006409152,0.000034708875,0.000051503594],"domain_scores_gemma":[0.99963355,0.00007378155,0.00007706702,0.000034777997,0.000110990055,0.00006983598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039645762,0.00022255763,0.00019776609,0.0017477525,0.00032507058,0.0005278481,0.00035046297,0.0001831679,0.00074679503],"category_scores_gemma":[0.0005427131,0.00018931065,0.00037723783,0.0016222526,0.00032746192,0.000496947,0.000319537,0.00013639015,0.00010763872],"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":[0.00018094326,0.000075871125,0.9631268,0.000033313092,0.000112553884,0.00033044312,0.00053766044,0.009174981,0.008818484,0.0007203053,0.00067728816,0.016211338],"study_design_scores_gemma":[0.0000027210117,0.000010358765,0.98565,0.0000018511732,0.000018645049,0.000025446656,0.00013416744,0.013684635,0.00021970567,0.000051963285,0.00019466478,0.000005792853],"about_ca_topic_score_codex":0.08287752,"about_ca_topic_score_gemma":0.08257637,"teacher_disagreement_score":0.08287752,"about_ca_system_score_codex":0.00095497514,"about_ca_system_score_gemma":0.0007533866,"threshold_uncertainty_score":0.16479021},"labels":[],"label_agreement":null},{"id":"W4410236347","doi":"10.23977/acss.2025.090205","title":"High-risk area monitoring and early warning model for mountain tourism based on hyper-spectral","year":2025,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Warning system; Geography; Business; Remote sensing; Computer science; Archaeology; Telecommunications","score_opus":0.014418539463365323,"score_gpt":0.23153256588204268,"score_spread":0.21711402641867736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410236347","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":[0.17194289,0.00030530602,0.82202506,0.00046180314,0.000068485875,0.00010573658,0.00024279217,0.0013443923,0.0035035587],"genre_scores_gemma":[0.9732582,0.0001443797,0.02403129,0.000056998237,0.00001578852,0.00009252725,0.00016523215,0.000024463396,0.002211153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997738,0.000029664023,0.000012896842,0.00007812322,0.00006010343,0.000045462522],"domain_scores_gemma":[0.99970406,0.000084015875,0.000044196775,0.000018095385,0.0001151941,0.00003429541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045503583,0.0006680638,0.0004291211,0.00072255055,0.00034932033,0.0008624036,0.0011127256,0.0006098209,0.0015455965],"category_scores_gemma":[0.0009578094,0.00027658397,0.0006377821,0.0003542551,0.00031093226,0.001429593,0.0006887521,0.00069588935,0.00020969508],"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":[0.00019453326,0.00012080596,0.014036542,0.000102407466,0.0000751881,0.0002856905,0.00020425033,0.9068536,0.007229618,0.004137214,0.0017792407,0.06498097],"study_design_scores_gemma":[0.0000031369452,0.000016234799,0.00092790433,0.000002227238,0.000009069698,0.000021131807,0.000019495998,0.9978254,0.00040250167,0.00063976867,0.00012799702,0.0000051014567],"about_ca_topic_score_codex":0.013748812,"about_ca_topic_score_gemma":0.009450393,"teacher_disagreement_score":0.013748812,"about_ca_system_score_codex":0.00071072386,"about_ca_system_score_gemma":0.000775826,"threshold_uncertainty_score":0.02733761},"labels":[],"label_agreement":null},{"id":"W4410435307","doi":"10.1175/jamc-d-24-0208.1","title":"Detecting Peri-Urban Climates in China Using a Thermal Variability Framework","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; China; Climatology; Meteorology; Geography; Geology","score_opus":0.007986805409549715,"score_gpt":0.23816638185531458,"score_spread":0.23017957644576487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410435307","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":[0.99524397,0.000065135304,0.0024854983,0.00004715446,0.0000036248916,0.000016505277,0.00057332957,0.000031999363,0.0015327272],"genre_scores_gemma":[0.9990326,0.000017600301,0.00054575026,0.00000469586,0.0000029783614,0.000007964719,0.0002692109,0.0000024487792,0.000116770876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978524,0.000051054238,0.0000145382355,0.00005943358,0.00004282065,0.000047008296],"domain_scores_gemma":[0.9996704,0.0000601409,0.000083235645,0.00004151846,0.00008862603,0.000056111505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046722897,0.00025948015,0.00018846363,0.0019534475,0.00044027372,0.00083073427,0.00030096908,0.00015013975,0.000583129],"category_scores_gemma":[0.00047653768,0.00011945724,0.0002855917,0.0021358817,0.00033513407,0.00037844392,0.00060476357,0.00016850534,0.0000723873],"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":[0.000063709325,0.000051415478,0.95399654,0.00004114933,0.00008363515,0.00021736049,0.0005682809,0.014596472,0.0032551072,0.0017362675,0.0006547195,0.024735322],"study_design_scores_gemma":[0.0000026327532,0.000021445252,0.9692059,0.0000055094038,0.000014313424,0.000028725175,0.0004446949,0.028685244,0.0003146942,0.00045223336,0.0008135432,0.000011092955],"about_ca_topic_score_codex":0.0320931,"about_ca_topic_score_gemma":0.044173628,"teacher_disagreement_score":0.0320931,"about_ca_system_score_codex":0.0008221893,"about_ca_system_score_gemma":0.00051863387,"threshold_uncertainty_score":0.06381261},"labels":[],"label_agreement":null},{"id":"W4410573669","doi":"10.23977/acss.2025.090208","title":"Discussion on the Application of Unmanned Aerial Vehicles in Land Border Areas","year":2025,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Aeronautics; Aerial photos; Geography; Remote sensing; Environmental science; Engineering","score_opus":0.008710303872522583,"score_gpt":0.24885846989348404,"score_spread":0.24014816602096145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410573669","genre_codex":"other","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":[0.050342266,0.102836065,0.033220947,0.15843523,0.008718441,0.0003564693,0.0003176143,0.00013020502,0.6456427],"genre_scores_gemma":[0.6380981,0.12063586,0.019733142,0.053180274,0.006531728,0.0004289455,0.00029450786,0.00010480162,0.16099267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980305,0.0007649504,0.000101365506,0.0002160782,0.00056981714,0.00031729255],"domain_scores_gemma":[0.9976115,0.0012507713,0.00014577279,0.00010168363,0.0007732936,0.00011700925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024783798,0.00033333563,0.0002416649,0.0010283994,0.0026197794,0.0035319133,0.0012209604,0.0037460432,0.009126568],"category_scores_gemma":[0.0042429348,0.00012427809,0.0008359434,0.0010630296,0.0017728296,0.0046675787,0.0016170001,0.0017279158,0.0016659502],"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":[0.00015008042,0.00012852394,0.0088371085,0.0031127962,0.00005069527,0.0061479034,0.014403633,0.00596526,0.009998412,0.56582403,0.10490346,0.2804781],"study_design_scores_gemma":[0.0000069664434,0.00010668004,0.00429348,0.0013362395,0.000021659933,0.0011922688,0.011711836,0.0012032924,0.0028119022,0.022156063,0.955131,0.000028778612],"about_ca_topic_score_codex":0.006355477,"about_ca_topic_score_gemma":0.0055940854,"teacher_disagreement_score":0.009126568,"about_ca_system_score_codex":0.0014267986,"about_ca_system_score_gemma":0.0015303261,"threshold_uncertainty_score":0.030531406},"labels":[],"label_agreement":null},{"id":"W4410729501","doi":"10.5539/jgg.v17n1p65","title":"Seasonal Regulation Mechanisms of Urban Parks on Land Surface Temperature: A Case Study of the Built-up Area in Xi’an City","year":2025,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Geography; Environmental planning; Physical geography","score_opus":0.010147886209910622,"score_gpt":0.2225472469204739,"score_spread":0.21239936071056328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410729501","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":[0.99916685,0.0000338603,0.0001622595,0.000019995055,0.0000014020924,0.000010010173,0.00008794502,0.000003750534,0.00051380775],"genre_scores_gemma":[0.9992926,0.000050604453,0.00028431296,0.0000059953936,0.0000017517616,0.000008751895,0.000098118006,0.0000020683538,0.00025575786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982363,0.0000560633,0.0000071424342,0.00003805484,0.000026040298,0.000049104292],"domain_scores_gemma":[0.99975365,0.00009783168,0.00003855661,0.000027089729,0.000041322743,0.000041425963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026661129,0.0002314237,0.00024897198,0.0004948579,0.00065255683,0.000654872,0.0005251812,0.00040541354,0.00067003793],"category_scores_gemma":[0.00036832006,0.00016629387,0.0004094572,0.0011118128,0.00061593927,0.00032953607,0.00062366936,0.00027175117,0.00006426418],"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":[0.00034846558,0.0004658089,0.89670306,0.00023202828,0.00027655662,0.016158696,0.008349335,0.04452348,0.006873067,0.002071001,0.0014324654,0.02256598],"study_design_scores_gemma":[0.000021246087,0.00013449945,0.92700315,0.000036965066,0.000113494956,0.00063399685,0.021183573,0.046808276,0.0013938468,0.00038407304,0.0022391165,0.000047866793],"about_ca_topic_score_codex":0.079718724,"about_ca_topic_score_gemma":0.17431328,"teacher_disagreement_score":0.079718724,"about_ca_system_score_codex":0.0013801745,"about_ca_system_score_gemma":0.0007568947,"threshold_uncertainty_score":0.15850937},"labels":[],"label_agreement":null},{"id":"W4410838900","doi":"10.29303/ipr.v8i2.493","title":"EVALUATING SURFACE TEMPERATURE VARIABILITIES AND CLIMATE EXTREMES IN THE DIENG PLATEAU OVER THREE DECADES","year":2025,"lang":"en","type":"article","venue":"Indonesian Physical Review","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Plateau (mathematics); Climatology; Climate change; Environmental science; Geography; Physical geography; Geology; Mathematics; Oceanography","score_opus":0.02683232112223711,"score_gpt":0.32387910152609756,"score_spread":0.29704678040386046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410838900","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":[0.998953,0.00017749898,0.000102068574,0.000019298714,0.0000025761524,0.0000021952985,0.00028998044,0.000004210805,0.00044917714],"genre_scores_gemma":[0.9989686,0.00009998261,0.000087156164,0.000009042256,0.0000041192698,0.0000052428477,0.00068568287,0.0000013344478,0.00013871485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998938,0.000012696421,0.000012582056,0.000030386167,0.000020510877,0.000029939647],"domain_scores_gemma":[0.9997551,0.00004550774,0.00007709778,0.000016957581,0.000057949896,0.00004747769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038901228,0.0001363146,0.00016006007,0.00052771304,0.00021959987,0.00056445383,0.00015299313,0.00020450029,0.0003209264],"category_scores_gemma":[0.00041833523,0.00005448947,0.00021215767,0.00094370235,0.00012618848,0.00038496472,0.00031449852,0.00018952612,0.000063547275],"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":[0.000040041057,0.000020908357,0.9924986,0.000014835156,0.000039588685,0.00013303863,0.00021182325,0.0004831963,0.0010146047,0.00004123373,0.00007240659,0.0054297727],"study_design_scores_gemma":[0.0000011119205,0.000015171224,0.99839276,0.0000043366163,0.0000136106455,0.00004476254,0.0003692172,0.0006338415,0.000110200985,0.000015770975,0.00039715035,0.000001964247],"about_ca_topic_score_codex":0.01603682,"about_ca_topic_score_gemma":0.029343609,"teacher_disagreement_score":0.01603682,"about_ca_system_score_codex":0.00034902457,"about_ca_system_score_gemma":0.00032038012,"threshold_uncertainty_score":0.031886935},"labels":[],"label_agreement":null},{"id":"W4411216885","doi":"10.3126/forestry.v21i1.79686","title":"Land Use Land Cover Change Prediction of Tansen Municipality Using Multi-Layer Perceptron-Markov Chain (MLP-MC) Model","year":2024,"lang":"en","type":"article","venue":"Forestry Journal of Institute of Forestry Nepal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Université Laval","funders":"","keywords":"Land cover; Markov chain; Perceptron; Cover (algebra); Layer (electronics); Land use; Multilayer perceptron; Environmental science; Computer science; Remote sensing; Geography; Artificial intelligence; Artificial neural network; Machine learning; Engineering; Civil engineering; Chemistry","score_opus":0.09785608098591057,"score_gpt":0.2819588890523609,"score_spread":0.1841028080664503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411216885","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":[0.98379123,0.00022467031,0.01129729,0.00022094551,0.000029611136,0.000023384986,0.001976242,0.000348727,0.002087864],"genre_scores_gemma":[0.9957088,0.000073374285,0.0019269191,0.000012652328,0.000006759179,0.000016593654,0.0014224215,0.000014117195,0.00081843033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999057,0.0000134217935,0.0000075369753,0.00003340348,0.00001542201,0.000024551267],"domain_scores_gemma":[0.99983716,0.00004912758,0.000023610435,0.000012587033,0.000056280907,0.000021273003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027598024,0.00035266715,0.00025852796,0.00066825,0.00022664864,0.0005069789,0.00039722238,0.00036801735,0.0016135513],"category_scores_gemma":[0.00067067926,0.0001812803,0.0007981779,0.0006415234,0.00015432041,0.00039052995,0.0003302947,0.00038594435,0.00033665658],"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":[0.0001444984,0.00013651795,0.2330628,0.00010523777,0.00012620418,0.00041666708,0.00013002295,0.73325026,0.0021875226,0.0006713244,0.0022550633,0.027513878],"study_design_scores_gemma":[0.0000042985894,0.000012534359,0.019966612,0.000009616944,0.000015068724,0.000017686412,0.000040952797,0.97916484,0.00024885565,0.00017288582,0.00033958137,0.000007065068],"about_ca_topic_score_codex":0.09649767,"about_ca_topic_score_gemma":0.09415919,"teacher_disagreement_score":0.09649767,"about_ca_system_score_codex":0.0007617354,"about_ca_system_score_gemma":0.00072599924,"threshold_uncertainty_score":0.19187194},"labels":[],"label_agreement":null},{"id":"W4411354708","doi":"10.54254/2754-1169/2025.lh23997","title":"A Study on China's Monthly Temperature Based on the Seasonal Autoregressive Integrated Moving Average","year":2025,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Autoregressive model; Autoregressive integrated moving average; China; Moving average; Environmental science; Seasonality; Climatology; Statistics; Econometrics; Meteorology; Geography; Mathematics; Time series; Geology","score_opus":0.007075768627528183,"score_gpt":0.2329998013720716,"score_spread":0.22592403274454342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411354708","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":[0.978096,0.0005671497,0.016249584,0.00036408415,0.00006876437,0.0000269089,0.0011216758,0.00013486978,0.0033709344],"genre_scores_gemma":[0.9963362,0.00020764001,0.0017917576,0.00001892921,0.000024599854,0.0000123909895,0.0011344871,0.00001552519,0.0004585045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996302,0.000085266576,0.0000229973,0.0001272071,0.00008610063,0.00004819988],"domain_scores_gemma":[0.9993087,0.00026676295,0.00007571183,0.000068889545,0.0002332302,0.000046600242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011418244,0.00040431722,0.0003770061,0.0007904552,0.0003011789,0.0005840765,0.0005189288,0.00028574342,0.0007915772],"category_scores_gemma":[0.0023460826,0.00021028733,0.00067074544,0.0014030688,0.000167926,0.00074612285,0.00024203821,0.00038025447,0.00013711725],"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":[0.0002039119,0.00015445249,0.5717813,0.00027111714,0.0005088717,0.00051085214,0.00059671095,0.31577307,0.005485441,0.004326587,0.0052643917,0.09512338],"study_design_scores_gemma":[0.000009965157,0.00008125947,0.24492054,0.000024450836,0.0001038118,0.000056937635,0.00016145648,0.7509357,0.0010010202,0.0005677797,0.0021058307,0.000031334952],"about_ca_topic_score_codex":0.06040268,"about_ca_topic_score_gemma":0.051221255,"teacher_disagreement_score":0.06040268,"about_ca_system_score_codex":0.0007123116,"about_ca_system_score_gemma":0.0010000474,"threshold_uncertainty_score":0.12010223},"labels":[],"label_agreement":null},{"id":"W4411792984","doi":"10.18280/ts.420344","title":"Multimodal Face and Iris Recognition System Based on Local Feature Extraction and Binary Bat Algorithm","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"IRIS (biosensor); Artificial intelligence; Computer science; Local binary patterns; Pattern recognition (psychology); Iris recognition; Face (sociological concept); Facial recognition system; Feature extraction; Binary number; Feature (linguistics); Computer vision; Mathematics; Biometrics; Image (mathematics); Histogram","score_opus":0.009747386816113477,"score_gpt":0.212125838575347,"score_spread":0.20237845175923352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411792984","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":[0.082144685,0.0009356087,0.90735054,0.00020195998,0.00014057888,0.0001319126,0.00013843995,0.0025845307,0.0063718],"genre_scores_gemma":[0.60667,0.00045119817,0.38137853,0.00020563108,0.000087680964,0.00026073432,0.00034369042,0.000054904787,0.010547527],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996055,0.00006048255,0.000019959833,0.000119658536,0.00016160583,0.000032831398],"domain_scores_gemma":[0.99984336,0.000026067348,0.000025414734,0.000021608117,0.00006912277,0.00001437293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032872966,0.00035151033,0.0007277726,0.00046242305,0.0003101338,0.00037857998,0.0006253651,0.00044086695,0.0026836707],"category_scores_gemma":[0.0004310123,0.00021020192,0.00035378954,0.000404913,0.00019500492,0.0007271708,0.00053867034,0.00038225783,0.0012569717],"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":[0.0006109889,0.00012616655,0.0024238406,0.00019137218,0.00008374213,0.00017928358,0.00017820796,0.021021264,0.3218686,0.0037300435,0.004090325,0.64549613],"study_design_scores_gemma":[0.0000606463,0.00053132937,0.0058247,0.000032684387,0.00007524119,0.0011189381,0.00005978795,0.8819436,0.10147548,0.0016953535,0.007093755,0.000088569],"about_ca_topic_score_codex":0.0008817279,"about_ca_topic_score_gemma":0.0008928631,"teacher_disagreement_score":0.0026836707,"about_ca_system_score_codex":0.00020441315,"about_ca_system_score_gemma":0.00023788781,"threshold_uncertainty_score":0.008977771},"labels":[],"label_agreement":null},{"id":"W4412160648","doi":"10.1063/5.0283520","title":"Remote sensing image detection method based on context-aware mechanism and transformer architecture","year":2025,"lang":"en","type":"article","venue":"AIP Advances","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thales (Canada)","funders":"","keywords":"Computer science; Architecture; Mechanism (biology); Context (archaeology); Transformer; Remote sensing; Artificial intelligence; Computer vision; Pattern recognition (psychology); Geology; Engineering; Electrical engineering; Geography; Physics","score_opus":0.005890909029044801,"score_gpt":0.2403123319292803,"score_spread":0.23442142290023552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412160648","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022703048,0.0005038558,0.97311056,0.000097943404,0.000057939516,0.00005550996,0.00004822748,0.0010597465,0.0023631386],"genre_scores_gemma":[0.7761754,0.00072005525,0.21643421,0.00021296255,0.00009496548,0.00014712609,0.00021910583,0.00012077208,0.0058754375],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998248,0.000017245222,0.000008212823,0.00006287512,0.00005855728,0.00002833655],"domain_scores_gemma":[0.9998528,0.000027950819,0.000014137363,0.00002510973,0.00006619155,0.000013780126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025950416,0.00062892097,0.00055689405,0.00069158734,0.00029866205,0.00057620683,0.00147003,0.0005145373,0.0019027613],"category_scores_gemma":[0.00065137376,0.00034160638,0.00079350674,0.0004271381,0.00033297198,0.0013941003,0.000759346,0.00064836675,0.0006277167],"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":[0.00041480275,0.00017038707,0.0038046206,0.00021688401,0.0001367856,0.0003105873,0.00019521658,0.3173476,0.086259946,0.01648456,0.003566388,0.57109225],"study_design_scores_gemma":[0.0000073550445,0.000040640713,0.00035624264,0.000003946442,0.000021985472,0.00009233448,0.000007677515,0.99189395,0.0048229443,0.0015896747,0.0011549726,0.00000823938],"about_ca_topic_score_codex":0.006211327,"about_ca_topic_score_gemma":0.0058424473,"teacher_disagreement_score":0.006211327,"about_ca_system_score_codex":0.0005003473,"about_ca_system_score_gemma":0.00066579715,"threshold_uncertainty_score":0.01235038},"labels":[],"label_agreement":null},{"id":"W4412719134","doi":"10.1109/jstars.2025.3592843","title":"XingHuan Visible and Uncooled Multispectral Infrared Camera for Wildfire Detection: Algorithm Description and Initial Validation","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"Optech (Canada)","funders":"","keywords":"Multispectral image; Remote sensing; Infrared; Computer science; Multispectral pattern recognition; Radiometry; Environmental science; Artificial intelligence; Computer vision; Algorithm; Optics; Physics; Geology","score_opus":0.021179804991100958,"score_gpt":0.24025569911366854,"score_spread":0.2190758941225676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412719134","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":[0.100331165,0.0013365566,0.8874485,0.00019761626,0.00009407568,0.0011550982,0.0006659272,0.003885219,0.0048858444],"genre_scores_gemma":[0.20637734,0.0010131047,0.783319,0.00014027247,0.000024250514,0.0015367904,0.0023918783,0.00018874969,0.0050086314],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994773,0.00007311634,0.000025686179,0.00009802427,0.00028449192,0.00004131278],"domain_scores_gemma":[0.9995617,0.000085472,0.000028267586,0.00005438182,0.00025328164,0.000016845448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001103518,0.00060090225,0.00046564208,0.00090702577,0.00034546113,0.0007734892,0.00086208683,0.00072545704,0.0023561353],"category_scores_gemma":[0.0014890069,0.00024936112,0.00037788352,0.00058287504,0.00024920946,0.000620093,0.0005933764,0.0006922002,0.0011364883],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005302316,0.00039713556,0.009653686,0.0003940082,0.00013032774,0.00019215506,0.000112903435,0.055535804,0.06450687,0.004017866,0.0063980357,0.8581309],"study_design_scores_gemma":[0.0000806495,0.00031827457,0.009763347,0.000061233615,0.00004596173,0.00040382956,0.00008442264,0.9099687,0.06854088,0.0009522075,0.009719026,0.00006140817],"about_ca_topic_score_codex":0.0051124142,"about_ca_topic_score_gemma":0.0046567917,"teacher_disagreement_score":0.0051124142,"about_ca_system_score_codex":0.00060837856,"about_ca_system_score_gemma":0.0010619487,"threshold_uncertainty_score":0.010165334},"labels":[],"label_agreement":null},{"id":"W4412754790","doi":"10.11159/iccste25.242","title":"Monitoring Vegetation, Water, and Land Surface Temperature in Dubai and Muscat Over Three Time Periods","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Environmental science; Remote sensing; Hydrology (agriculture); Physical geography; Geology; Geography; Geotechnical engineering","score_opus":0.006825987617263026,"score_gpt":0.19733150435682284,"score_spread":0.19050551673955982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412754790","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":[0.997523,0.0001624339,0.00027283622,0.00003602549,0.0000052057076,0.000018489201,0.0006336672,0.000017711773,0.0013306513],"genre_scores_gemma":[0.99593,0.00016433955,0.0014454215,0.000028593604,0.000010810319,0.00005043191,0.0013422486,0.0000045919714,0.0010235668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998878,0.000020823643,0.0000066805324,0.000034130793,0.000025172567,0.000025351592],"domain_scores_gemma":[0.99985707,0.000016984692,0.000039107785,0.000012360939,0.000047371945,0.000027136126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018886065,0.0003517676,0.00018984191,0.0009424157,0.00047132708,0.0005039419,0.0002831314,0.0003023337,0.00054139306],"category_scores_gemma":[0.00020858296,0.000101063604,0.0002423333,0.0008690108,0.0002606557,0.00030474574,0.00037778573,0.0001828585,0.00017008164],"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":[0.00017799047,0.00016862794,0.9450787,0.00015563027,0.00020885598,0.00075596693,0.0023042476,0.002450342,0.015025669,0.00026536034,0.0011893205,0.032219183],"study_design_scores_gemma":[0.0000038857434,0.00003203538,0.9929946,0.000009037821,0.000029286059,0.00011656963,0.0014224171,0.0017462707,0.0012852834,0.000026859614,0.002322193,0.000011649422],"about_ca_topic_score_codex":0.029470263,"about_ca_topic_score_gemma":0.08312776,"teacher_disagreement_score":0.029470263,"about_ca_system_score_codex":0.0006968623,"about_ca_system_score_gemma":0.0004755831,"threshold_uncertainty_score":0.058597445},"labels":[],"label_agreement":null},{"id":"W4412907963","doi":"10.1175/jcli-d-24-0567.1","title":"Upper Troposphere Warming Amplification over the Tibetan Plateau","year":2025,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Remote Sensing and Land Use","field":"Earth and Planetary 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":"McGill University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Troposphere; Climatology; Plateau (mathematics); Environmental science; Global warming; Atmospheric sciences; Geology; Climate change; Oceanography","score_opus":0.009399403378966113,"score_gpt":0.24462985402700577,"score_spread":0.23523045064803966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412907963","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":[0.993903,0.00048010988,0.00033829178,0.00012408156,0.000022415454,0.000007966079,0.0022140907,0.00008434395,0.0028257133],"genre_scores_gemma":[0.9976376,0.000121989135,0.00014602052,0.000038414695,0.0000253026,0.000008001191,0.0017013052,0.0000064004953,0.00031489576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999892,0.000022594073,0.0000069241487,0.00002996333,0.000022842907,0.000025580426],"domain_scores_gemma":[0.9997769,0.000039284965,0.00004146618,0.000019670986,0.0000906465,0.00003192548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004525878,0.0003105442,0.00021424636,0.0008942001,0.00037578933,0.00088378746,0.00021245159,0.000221743,0.0016007128],"category_scores_gemma":[0.00042762226,0.000083970735,0.00026726027,0.0016235939,0.00014622255,0.00036074684,0.00039128456,0.0002640024,0.00014123172],"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":[0.00032182518,0.00006756046,0.90086347,0.00030687547,0.00043008267,0.0009119227,0.00096607476,0.01128398,0.029172318,0.00047913508,0.0032077925,0.05198898],"study_design_scores_gemma":[0.000011860182,0.00002328049,0.99246925,0.000023418552,0.000048913203,0.00003712418,0.00020922271,0.004415054,0.00059795403,0.000111886584,0.0020411361,0.000010935743],"about_ca_topic_score_codex":0.04527443,"about_ca_topic_score_gemma":0.039248392,"teacher_disagreement_score":0.04527443,"about_ca_system_score_codex":0.00058484054,"about_ca_system_score_gemma":0.00042645415,"threshold_uncertainty_score":0.09002185},"labels":[],"label_agreement":null},{"id":"W4412935307","doi":"10.1016/j.srs.2025.100265","title":"Terrain complexity index: a novel metric for estimating multiscale three-dimensional terrain structure of montane areas based on digital elevation model","year":2025,"lang":"en","type":"article","venue":"Science of Remote Sensing","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":"Campbell Scientific (Canada)","funders":"Key Research and Development Program of Liaoning Province; National Natural Science Foundation of China","keywords":"Digital elevation model; Terrain; Montane ecology; Elevation (ballistics); Index (typography); Metric (unit); Remote sensing; Geography; Geology; Computer science; Physical geography; Cartography; Mathematics; Ecology; Geometry; Engineering; World Wide Web; Biology","score_opus":0.023694655407091064,"score_gpt":0.2586780160469602,"score_spread":0.23498336063986916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412935307","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38635057,0.0011831626,0.5972632,0.00019621415,0.00010626449,0.00027298045,0.0063141095,0.0020147916,0.006298689],"genre_scores_gemma":[0.8572579,0.00047228878,0.13490671,0.00004709451,0.00006305686,0.0001955889,0.006132402,0.00012847038,0.0007964456],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942374,0.000058368565,0.000069778594,0.00010228598,0.00029454753,0.00005135082],"domain_scores_gemma":[0.99898714,0.00030156405,0.0002697468,0.000098020304,0.00027110873,0.00007234267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004851875,0.00063656183,0.0006110039,0.006610005,0.0002916277,0.0014139957,0.00057832926,0.0004189195,0.0009220699],"category_scores_gemma":[0.002503175,0.00017496024,0.0006355743,0.0039543365,0.00033352163,0.0018096545,0.0008823036,0.0004495483,0.00023495834],"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":[0.00031721327,0.00028612593,0.24028416,0.00079771626,0.0007419327,0.00094240607,0.00060096267,0.2518264,0.051906925,0.015273361,0.014483482,0.42253926],"study_design_scores_gemma":[0.000025172276,0.0001207136,0.13420522,0.000053143347,0.00013596899,0.0006117785,0.00029933144,0.8413927,0.008757041,0.00567584,0.008596982,0.00012611394],"about_ca_topic_score_codex":0.004103607,"about_ca_topic_score_gemma":0.005850732,"teacher_disagreement_score":0.006610005,"about_ca_system_score_codex":0.00058480015,"about_ca_system_score_gemma":0.00050920673,"threshold_uncertainty_score":0.008159459},"labels":[],"label_agreement":null},{"id":"W4413565203","doi":"10.47611/jsrhs.v14i1.8463","title":"Apple Recognition Method in Orchards Based on SAM and YOLOv8","year":2025,"lang":"en","type":"article","venue":"Journal of Student Research","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Earl Haig Secondary School","funders":"","keywords":"Horticulture; Computer science; Biology","score_opus":0.15082328860997718,"score_gpt":0.44524768189789127,"score_spread":0.2944243932879141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413565203","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":[0.22015876,0.0018124124,0.70680976,0.0002901932,0.0003734967,0.00023023372,0.0020812154,0.05948477,0.0087592],"genre_scores_gemma":[0.46710128,0.0007711586,0.50971764,0.00039114623,0.00008528009,0.00022486092,0.00853657,0.0016152981,0.011556744],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945015,0.00004436483,0.000030314633,0.00025491344,0.00014529559,0.00007505965],"domain_scores_gemma":[0.99954444,0.00007863459,0.00004534472,0.00012497116,0.00017445565,0.000032058295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006756503,0.0011552684,0.0008593628,0.0014771529,0.00035942777,0.0011953065,0.001707474,0.00080408365,0.002663588],"category_scores_gemma":[0.0013258145,0.0005149372,0.0014067407,0.0009285693,0.0002741325,0.0016544423,0.0009084036,0.0006378827,0.0028014516],"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":[0.0010631807,0.0002293075,0.027598524,0.00063386513,0.00028386616,0.00041199883,0.00029252196,0.055253506,0.17813288,0.003742639,0.018005561,0.7143522],"study_design_scores_gemma":[0.000037607257,0.00021533151,0.013925587,0.000042989814,0.000120501354,0.0004306731,0.00013105996,0.8829953,0.08203751,0.0020963426,0.0178856,0.000081541046],"about_ca_topic_score_codex":0.005701086,"about_ca_topic_score_gemma":0.009982312,"teacher_disagreement_score":0.005701086,"about_ca_system_score_codex":0.000640051,"about_ca_system_score_gemma":0.0008285863,"threshold_uncertainty_score":0.01133585},"labels":[],"label_agreement":null},{"id":"W4413765695","doi":"10.21203/rs.3.rs-7333218/v1","title":"Pedestrian Detection in Aerial Image Based on Convolutional Neural Network with Attention Mechanism and Multi-scale Prediction","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Convolutional neural network; Pedestrian detection; Computer science; Artificial intelligence; Pedestrian; Aerial image; Scale (ratio); Image (mathematics); Mechanism (biology); Computer vision; Pattern recognition (psychology); Cartography; Geography","score_opus":0.03498153891595115,"score_gpt":0.29708433479448404,"score_spread":0.2621027958785329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413765695","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":[0.47885662,0.0012171367,0.5115176,0.00038330862,0.00027370724,0.00007707319,0.0004957422,0.0021714927,0.0050072814],"genre_scores_gemma":[0.9448494,0.00028982313,0.050735097,0.00007532104,0.000072003284,0.000017510254,0.00041236682,0.00003460176,0.003513922],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998659,0.000009828834,0.0000037336017,0.00005319091,0.000027446975,0.000039981453],"domain_scores_gemma":[0.9998567,0.000036021585,0.00001678367,0.000020904992,0.000052204126,0.000017279885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024397981,0.0005675331,0.00057363225,0.00072485686,0.00023000682,0.00037248514,0.00053406175,0.0005195952,0.0013811331],"category_scores_gemma":[0.0004134702,0.0002756505,0.00042805396,0.00058140606,0.00020091604,0.0005276617,0.00038521548,0.00040007982,0.00030482016],"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":[0.0009340408,0.00031870388,0.015174252,0.0001765596,0.0002344578,0.00053162087,0.00008490964,0.18285875,0.097980976,0.0025278712,0.0069343215,0.6922436],"study_design_scores_gemma":[0.0000045396923,0.000024900632,0.0035320804,0.0000034177447,0.00002071138,0.000045329194,0.0000063795515,0.98999596,0.0057304185,0.00043644142,0.00019487583,0.0000049623195],"about_ca_topic_score_codex":0.014073191,"about_ca_topic_score_gemma":0.017735053,"teacher_disagreement_score":0.014073191,"about_ca_system_score_codex":0.000446562,"about_ca_system_score_gemma":0.00041653696,"threshold_uncertainty_score":0.027982533},"labels":[],"label_agreement":null},{"id":"W4414011230","doi":"10.1016/j.saa.2025.126907","title":"Research on the identification of Ziziphi Spinosae semen and its adulterants based on the fusion of hyperspectral technology and transfer learning","year":2025,"lang":"en","type":"article","venue":"Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Key Research and Development Program of China; Nanjing Agricultural University; Nanjing University of Chinese Medicine; China Postdoctoral Science Foundation","keywords":"Chemistry; Semen; Identification (biology); Hyperspectral imaging; Fusion; Artificial intelligence; Botany; Anatomy","score_opus":0.014278742785288808,"score_gpt":0.2706990496435306,"score_spread":0.2564203068582418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414011230","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":[0.9459421,0.011819229,0.038110517,0.00046784422,0.00008680799,0.00006155103,0.00039217738,0.00009397108,0.0030256936],"genre_scores_gemma":[0.9584769,0.0056475135,0.031590365,0.00018288374,0.00005774511,0.000020866437,0.00047959705,0.000014537796,0.0035296236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987996,0.0000106628195,0.0000056736194,0.000044046785,0.00004214815,0.000017379016],"domain_scores_gemma":[0.9999088,0.000017008879,0.000019699133,0.000006304477,0.000035384495,0.000012794168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020448974,0.00031045036,0.0003450436,0.00061557686,0.00026014328,0.00041904926,0.00024363042,0.00025872423,0.0005799281],"category_scores_gemma":[0.00016395877,0.00011335407,0.00023996126,0.0005959257,0.0002644682,0.00081897003,0.00026610366,0.00040163682,0.00016675149],"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":[0.00012796828,0.000063295265,0.012041726,0.00029391595,0.000052644344,0.00018212816,0.0002015329,0.00046235128,0.895526,0.0006662289,0.0002062232,0.09017595],"study_design_scores_gemma":[0.00003794274,0.0009194019,0.21886225,0.00006415934,0.0004467451,0.002048959,0.0016289088,0.031199163,0.71734977,0.0018454108,0.0254743,0.00012302691],"about_ca_topic_score_codex":0.0016587465,"about_ca_topic_score_gemma":0.002294771,"teacher_disagreement_score":0.0016587465,"about_ca_system_score_codex":0.00018088988,"about_ca_system_score_gemma":0.0002627679,"threshold_uncertainty_score":0.0032981634},"labels":[],"label_agreement":null},{"id":"W4414029640","doi":"10.5376/mpb.2025.16.0022","title":"Synergistic Effects of Shading and Irrigation Frequency on Summer Bud Growth and Quality in Tea Plants","year":2025,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Remote Sensing and Land Use","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shading; Biology; Irrigation; Quality (philosophy); Agronomy; Botany; Horticulture; Computer science","score_opus":0.015129017589423107,"score_gpt":0.22748595536684335,"score_spread":0.21235693777742023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414029640","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":[0.99739045,0.00066341995,0.001030519,0.000053242566,0.000014815624,0.000014442847,0.00008512463,0.000030322062,0.00071764993],"genre_scores_gemma":[0.99808085,0.00017016179,0.0009843294,0.000059393402,0.000009238834,0.000018900788,0.00008141499,0.00001806907,0.00057765335],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997814,0.00006420991,0.000018038907,0.000058182843,0.000041136882,0.000037080597],"domain_scores_gemma":[0.99968123,0.00010203258,0.000063113825,0.00003292046,0.000035830297,0.00008484862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001816904,0.00030777094,0.00043290973,0.00016536587,0.00028616763,0.0002971726,0.00018836232,0.00023935849,0.0008674816],"category_scores_gemma":[0.0002005124,0.00021185708,0.00043416215,0.00014323651,0.0002348058,0.00027515736,0.0004409094,0.0005980893,0.00009105116],"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":[0.0004739763,0.00004883597,0.003722368,0.00007338765,0.000029494622,0.000058851103,0.000090782196,0.0001768127,0.9921475,0.000030506635,0.000029376637,0.0031181602],"study_design_scores_gemma":[0.000084041945,0.0033357097,0.5363493,0.000018166316,0.0002766359,0.0003897094,0.0007716114,0.0046030246,0.449448,0.0002525854,0.0043827305,0.00008848707],"about_ca_topic_score_codex":0.0013355229,"about_ca_topic_score_gemma":0.0028231253,"teacher_disagreement_score":0.0013355229,"about_ca_system_score_codex":0.00034608482,"about_ca_system_score_gemma":0.00025658507,"threshold_uncertainty_score":0.002902031},"labels":[],"label_agreement":null},{"id":"W4414079017","doi":"10.21203/rs.3.rs-7556217/v1","title":"Exposure of global agricultural lands to extreme weather using CMIP6 projections of future climate","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Extreme weather; Climate extremes; Agriculture; Precipitation; Climate change; Extreme heat; Global warming; Agricultural productivity; Agricultural land","score_opus":0.07740096530519917,"score_gpt":0.3571073744103324,"score_spread":0.2797064091051332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414079017","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":[0.980135,0.00013488001,0.0016403208,0.0003946999,0.0000341616,0.00000826282,0.014813836,0.00012022418,0.002718622],"genre_scores_gemma":[0.98669016,0.0001427667,0.0011666049,0.000027613074,0.00002805455,0.00001345632,0.011372865,0.000027525206,0.0005308687],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986744,0.00003430946,0.000007401791,0.000044813223,0.000022117107,0.000023902072],"domain_scores_gemma":[0.9997317,0.00010031085,0.00004365105,0.0000326829,0.00006210718,0.000029552853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004985936,0.00034830015,0.00012687403,0.00040557125,0.00015620711,0.0004826008,0.00028950485,0.00065844983,0.0023660045],"category_scores_gemma":[0.0014883328,0.0001904411,0.00047372267,0.00089817896,0.00012399872,0.00080418354,0.00041709642,0.00032861435,0.0005025963],"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":[0.0008496006,0.00012543326,0.5039854,0.00019310134,0.00045039444,0.00025340004,0.00021786589,0.4428778,0.004593344,0.0030944473,0.009155595,0.03420364],"study_design_scores_gemma":[0.00008308389,0.00008932338,0.7010419,0.000050890412,0.00016646477,0.00013452499,0.00038901478,0.28322718,0.0032741555,0.0034419636,0.008040152,0.00006144594],"about_ca_topic_score_codex":0.02064258,"about_ca_topic_score_gemma":0.011289133,"teacher_disagreement_score":0.02064258,"about_ca_system_score_codex":0.00043212864,"about_ca_system_score_gemma":0.00028386846,"threshold_uncertainty_score":0.04104483},"labels":[],"label_agreement":null},{"id":"W4414944628","doi":"10.1139/cjfr-2025-0107","title":"A multiscale representation learning algorithm for internal pest and disease damage imaging in trees","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Robustness (evolution); Structural health monitoring; Tree (set theory); Subspace topology; STRIPS; Inverse problem; Pattern recognition (psychology); Nondestructive testing; Representation (politics)","score_opus":0.025947511064457484,"score_gpt":0.312536342954455,"score_spread":0.2865888318899975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414944628","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":[0.017517544,0.000076011325,0.9815346,0.000052896812,0.0000101049345,0.000014841893,0.000015684718,0.00019925788,0.0005790667],"genre_scores_gemma":[0.37902233,0.00017200927,0.6183211,0.000079627534,0.000026012593,0.00011268245,0.00014965002,0.000058408397,0.0020581915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998653,0.00002696454,0.0000074975937,0.00003427165,0.00004606796,0.000019974012],"domain_scores_gemma":[0.99980444,0.00008162538,0.000023816516,0.000017174838,0.00006217986,0.000010783169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004897822,0.00039099244,0.00039274705,0.00033720973,0.00019756686,0.00037470917,0.0005558674,0.00050913467,0.00090894516],"category_scores_gemma":[0.0010710484,0.00016853669,0.00051496347,0.0003794285,0.00023844551,0.00059475,0.00057737314,0.00060394994,0.00022650928],"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":[0.00009165191,0.0000700845,0.0012120521,0.000059354144,0.000049830618,0.00005246989,0.00009197922,0.49132425,0.023967844,0.007221416,0.0012302564,0.4746288],"study_design_scores_gemma":[0.0000019164127,0.000017732486,0.000120847624,0.0000015010426,0.000002427661,0.000008279065,0.0000046635605,0.9979297,0.001045856,0.0006811203,0.00018397388,0.0000019187794],"about_ca_topic_score_codex":0.002279467,"about_ca_topic_score_gemma":0.002901753,"teacher_disagreement_score":0.002279467,"about_ca_system_score_codex":0.00032155792,"about_ca_system_score_gemma":0.00049200084,"threshold_uncertainty_score":0.004532397},"labels":[],"label_agreement":null},{"id":"W4415169711","doi":"10.1177/14727978251385182","title":"Research on a natural scene Korla pear detection method based on ECA and BiFPN improved YoloV11","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Methods in Sciences and Engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Pyramid (geometry); Object detection; PEAR; Feature (linguistics); Pattern recognition (psychology); Object (grammar); Field (mathematics); Feature extraction","score_opus":0.042305895057798054,"score_gpt":0.404013496923834,"score_spread":0.3617076018660359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415169711","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":[0.08755683,0.00069113023,0.90495044,0.0001799029,0.00010830795,0.000108038694,0.0001106801,0.0027688614,0.003525838],"genre_scores_gemma":[0.66067386,0.00072129193,0.32643217,0.0003431545,0.000051015333,0.0001462069,0.00084279006,0.00018907737,0.010600425],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996563,0.000028124514,0.00001420411,0.00011226024,0.00013783996,0.000051224626],"domain_scores_gemma":[0.9997303,0.000045202196,0.000016029062,0.000033907643,0.00015260355,0.00002208646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044391552,0.0007701636,0.00079996086,0.00064273545,0.00035211485,0.00072315265,0.0012813312,0.00060574134,0.0016086517],"category_scores_gemma":[0.0007106067,0.0003680421,0.00071479194,0.00051850977,0.00027377988,0.0012367876,0.0007358869,0.000750359,0.00060822227],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003026083,0.00017140862,0.0037309027,0.000177965,0.00013516107,0.00021258954,0.000092783375,0.11408661,0.11918306,0.002952247,0.0033177088,0.75563693],"study_design_scores_gemma":[0.000017424052,0.00012429291,0.002111985,0.000007141419,0.000040168932,0.00016431717,0.00002239111,0.9753734,0.019752126,0.00049192563,0.0018737973,0.00002104016],"about_ca_topic_score_codex":0.012535018,"about_ca_topic_score_gemma":0.010994568,"teacher_disagreement_score":0.012535018,"about_ca_system_score_codex":0.0006540767,"about_ca_system_score_gemma":0.0012344669,"threshold_uncertainty_score":0.0249241},"labels":[],"label_agreement":null},{"id":"W4415371101","doi":"10.5194/ica-adv-5-22-2025","title":"A Novel GIS-based Polygon Shape Similarity Measure Applied to OSM Building Footprints","year":2025,"lang":"en","type":"article","venue":"Advances in Cartography and GIScience of the ICA","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Université Laval","funders":"","keywords":"Measure (data warehouse); Polygon (computer graphics); Similarity (geometry); Similarity measure; Similitude; Translation (biology); Rotation (mathematics); Pattern recognition (psychology); Boundary (topology); Range (aeronautics)","score_opus":0.008374937717043283,"score_gpt":0.2370371745630037,"score_spread":0.2286622368459604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415371101","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":[0.15479584,0.0005093058,0.8343854,0.00016412909,0.00017171293,0.0003249372,0.0018895946,0.0021741677,0.0055848775],"genre_scores_gemma":[0.6635813,0.00025309066,0.33245546,0.00007060431,0.00007926946,0.00024053646,0.0023481592,0.00019008594,0.0007815069],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979736,0.00025816186,0.00017494112,0.0002660882,0.0012218305,0.000105390616],"domain_scores_gemma":[0.9972488,0.0005716628,0.00042398772,0.0003498885,0.0012654616,0.00014014966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009693921,0.00061383186,0.0009379051,0.0067413333,0.00040136106,0.0019398282,0.001082275,0.0006267211,0.0018150753],"category_scores_gemma":[0.0061378395,0.00023166962,0.00069960946,0.0061096125,0.00059446093,0.0020147602,0.001846343,0.00046671325,0.00078515324],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005725124,0.000429188,0.039305784,0.0008462185,0.00039438854,0.0005008517,0.00055448484,0.12789781,0.050918605,0.019876648,0.008677499,0.75002605],"study_design_scores_gemma":[0.00003215056,0.00025455622,0.02850147,0.00008178869,0.000075630196,0.0010219726,0.00049349456,0.9275249,0.023991242,0.008554715,0.009362336,0.000105585554],"about_ca_topic_score_codex":0.0021578225,"about_ca_topic_score_gemma":0.0023448062,"teacher_disagreement_score":0.0067413333,"about_ca_system_score_codex":0.0006391137,"about_ca_system_score_gemma":0.00078196044,"threshold_uncertainty_score":0.0060720444},"labels":[],"label_agreement":null},{"id":"W4415371177","doi":"10.5194/ica-adv-5-15-2025","title":"Urban Planning Analysis Using Stereo Mapping Feature Collection","year":2025,"lang":"en","type":"article","venue":"Advances in Cartography and GIScience of the ICA","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Langara College","funders":"","keywords":"Metropolitan area; Geospatial analysis; Urban planning; Feature (linguistics); Perspective (graphical); Population; Focus (optics)","score_opus":0.009175253608411859,"score_gpt":0.24574826247468962,"score_spread":0.23657300886627775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415371177","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":[0.39685628,0.00021506056,0.53620905,0.000319064,0.00008576018,0.0004886218,0.019807948,0.0052964003,0.04072185],"genre_scores_gemma":[0.81872445,0.00011795141,0.16700597,0.00003417054,0.0000150804235,0.00015950091,0.010750035,0.00020031478,0.0029925308],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996263,0.00005435479,0.000014394361,0.000049975846,0.00019004788,0.00006489344],"domain_scores_gemma":[0.99948186,0.00010264118,0.000044867345,0.00006597582,0.00028489094,0.00001979186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034703998,0.0003415867,0.00026797928,0.004074073,0.0003820145,0.000961048,0.00037152035,0.00021976302,0.005148181],"category_scores_gemma":[0.0011052759,0.00020272449,0.0006033818,0.0043401397,0.00020287589,0.00041102403,0.0004858222,0.00021961099,0.000878019],"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":[0.00018123478,0.00023559715,0.04811422,0.00019223947,0.00010012553,0.00038213067,0.00062403403,0.33314398,0.008268299,0.009859519,0.01626988,0.58262867],"study_design_scores_gemma":[0.000011542293,0.000044330645,0.046621542,0.000020949363,0.00002462323,0.00014137794,0.0007748952,0.9290434,0.0043018074,0.00381461,0.0151510155,0.00004990964],"about_ca_topic_score_codex":0.071311474,"about_ca_topic_score_gemma":0.06708535,"teacher_disagreement_score":0.071311474,"about_ca_system_score_codex":0.0010217417,"about_ca_system_score_gemma":0.0011288809,"threshold_uncertainty_score":0.14179277},"labels":[],"label_agreement":null},{"id":"W4415373235","doi":"10.3389/fpls.2025.1665672","title":"Automatic detection and counting of wheat seedling based on unmanned aerial vehicle images","year":2025,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"Ministry of Agriculture","funders":"Henan Academy of Agricultural Sciences","keywords":"Seedling; Feature (linguistics); Mean squared error; Field (mathematics); Word error rate; Position (finance); Encoder","score_opus":0.005164688392074907,"score_gpt":0.193977841277673,"score_spread":0.1888131528855981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415373235","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":[0.4517265,0.0008756969,0.5369392,0.00017318066,0.00023157519,0.00016315086,0.0009166688,0.0045732777,0.004400698],"genre_scores_gemma":[0.8874556,0.00039084718,0.107051395,0.00008830939,0.000036285608,0.000077223856,0.0012612076,0.000042523192,0.0035966837],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999813,0.000012345586,0.0000059716776,0.00006541711,0.000072165196,0.00003112127],"domain_scores_gemma":[0.9998671,0.000019899855,0.000017951243,0.000017658127,0.0000643628,0.000012995551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017662333,0.00068246387,0.0003803859,0.00080667913,0.00016443942,0.0002805593,0.00056934624,0.00026130688,0.00045711847],"category_scores_gemma":[0.00032835282,0.00019375187,0.00034169143,0.00043192084,0.00014691506,0.00044243774,0.00030111117,0.00032970545,0.00026212484],"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":[0.0002591414,0.00010988027,0.020956043,0.00016482527,0.00008659165,0.0003362737,0.00011840079,0.08119032,0.122749716,0.0011000005,0.0066275164,0.7663013],"study_design_scores_gemma":[0.000010245602,0.00007854965,0.015280549,0.000009093832,0.000017641449,0.00011447135,0.00005254618,0.9696991,0.012978202,0.00037984186,0.0013635786,0.000016126698],"about_ca_topic_score_codex":0.012839646,"about_ca_topic_score_gemma":0.017861322,"teacher_disagreement_score":0.012839646,"about_ca_system_score_codex":0.00034225656,"about_ca_system_score_gemma":0.00040566231,"threshold_uncertainty_score":0.025529802},"labels":[],"label_agreement":null},{"id":"W4819806","doi":"10.1139/o74-024","title":"Detecting Vegetation Recovery Patterns After Hurricanes in South Florida Using NDVI Time Series","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Biochemistry","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Normalized Difference Vegetation Index; Vegetation (pathology); Environmental science; Mangrove; Time series; Physical geography; Satellite imagery; Climatology; Climate change; Remote sensing; Geography; Geology; Oceanography; Ecology","score_opus":0.008400170324074373,"score_gpt":0.17985906790788195,"score_spread":0.17145889758380758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4819806","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":[0.9980381,0.000043322016,0.00012871034,0.00010570515,0.0000043003315,0.0000075415173,0.00097606267,0.000027377448,0.0006688896],"genre_scores_gemma":[0.99627185,0.000081192826,0.0006623749,0.000023011851,0.0000059784616,0.000009521312,0.0021859882,0.000005348658,0.00075479626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995136,0.0000043508576,0.000003182724,0.000013497886,0.000013106801,0.000014503894],"domain_scores_gemma":[0.99982303,0.000029335115,0.00004924603,0.0000063745056,0.000057712976,0.00003440899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014520827,0.00013652808,0.00012505625,0.0010846881,0.00023341521,0.00034892478,0.00020961331,0.00028391802,0.0009971291],"category_scores_gemma":[0.0005169629,0.000097209915,0.00011204665,0.00063047954,0.000096688585,0.00028353822,0.0002242057,0.0002121611,0.00019363865],"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":[0.00046714683,0.00030471533,0.8981281,0.00007469753,0.00013063746,0.00042215516,0.0009991789,0.0038521758,0.020468188,0.00020869836,0.0059363144,0.06900801],"study_design_scores_gemma":[0.0000058560076,0.000028919492,0.99173343,0.00001313875,0.000019940286,0.00002192434,0.00052566355,0.006090882,0.00064312504,0.000025772577,0.0008836499,0.000007843576],"about_ca_topic_score_codex":0.17363484,"about_ca_topic_score_gemma":0.31737873,"teacher_disagreement_score":0.17363484,"about_ca_system_score_codex":0.00066373276,"about_ca_system_score_gemma":0.00040380802,"threshold_uncertainty_score":0.34524834},"labels":[],"label_agreement":null},{"id":"W593913926","doi":"","title":"An object-oriented approach to urban land-cover and land-use classification","year":2007,"lang":"en","type":"book","venue":"TSpace","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Land cover; Cover (algebra); Land use; Object based; Geography; Object (grammar); Computer science; Artificial intelligence; Engineering; Civil engineering","score_opus":0.031357341543035065,"score_gpt":0.26146534271133787,"score_spread":0.2301080011683028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W593913926","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045832642,0.015913278,0.9067213,0.001261685,0.00047338443,0.0002350212,0.00069199613,0.00077776395,0.06934237],"genre_scores_gemma":[0.06094198,0.019689878,0.84083784,0.00068064575,0.0005220534,0.00037090757,0.0021233344,0.00035474024,0.07447864],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996209,0.00008562481,0.000026566848,0.00006279842,0.00018458115,0.000019531562],"domain_scores_gemma":[0.99974257,0.0001011858,0.000015868505,0.00003432854,0.000092507,0.0000136185745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079086545,0.00083909364,0.00052000105,0.002811495,0.00048097846,0.0025919678,0.0010569823,0.00047793996,0.004219585],"category_scores_gemma":[0.00078174286,0.00031194772,0.00059562444,0.0042681126,0.0012697539,0.0014773929,0.00059668213,0.00071862945,0.001806619],"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":[0.000019193789,0.00005465049,0.0015228362,0.0006227854,0.000079590645,0.00024723553,0.00076151,0.013436497,0.002706393,0.2519557,0.030064167,0.6985294],"study_design_scores_gemma":[0.00001595769,0.00004953852,0.0045319074,0.00034124794,0.00006715973,0.0007854318,0.0005657755,0.053019356,0.0023377,0.32000405,0.61823446,0.0000474727],"about_ca_topic_score_codex":0.011166984,"about_ca_topic_score_gemma":0.018374832,"teacher_disagreement_score":0.011166984,"about_ca_system_score_codex":0.0015193832,"about_ca_system_score_gemma":0.0009759375,"threshold_uncertainty_score":0.022203982},"labels":[],"label_agreement":null},{"id":"W627818147","doi":"10.1201/9781420009781","title":"Color Image Processing","year":2006,"lang":"en","type":"book","venue":"Image processing series","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":161,"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 Toronto","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Image processing; Computer graphics (images); Image (mathematics)","score_opus":0.009140786485489204,"score_gpt":0.21580692135774796,"score_spread":0.20666613487225874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W627818147","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015048666,0.005767168,0.2941604,0.0012818984,0.003805175,0.00020015493,0.001563214,0.010422744,0.68129444],"genre_scores_gemma":[0.0040993863,0.0038652893,0.042975202,0.0005212269,0.00058028824,0.0000574616,0.001243669,0.001303628,0.94535387],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997881,0.000008157786,0.0000056428385,0.00005849747,0.00012207498,0.000017556004],"domain_scores_gemma":[0.9996705,0.000023324956,0.000007462886,0.00004314389,0.00022624158,0.000029389159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030576144,0.0014858977,0.0007433461,0.0022604032,0.00053914165,0.0020951799,0.0010681247,0.0009009972,0.19510521],"category_scores_gemma":[0.0004291921,0.00040334216,0.00065466046,0.0018541013,0.00032552367,0.0015506247,0.0009948873,0.0012258651,0.15166822],"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":[0.00002853994,0.000036734113,0.0000796709,0.00017474296,0.000012793793,0.000060548835,0.000029150033,0.00076164195,0.014996375,0.010203914,0.44113198,0.53248394],"study_design_scores_gemma":[0.000005015881,0.000027556005,0.0004827596,0.000053167736,0.000014181504,0.00028890057,0.000022714643,0.0038779855,0.007067077,0.0060930904,0.9820494,0.000018054374],"about_ca_topic_score_codex":0.0018654907,"about_ca_topic_score_gemma":0.0039176345,"teacher_disagreement_score":0.19510521,"about_ca_system_score_codex":0.00047390038,"about_ca_system_score_gemma":0.0004284959,"threshold_uncertainty_score":0.65269196},"labels":[],"label_agreement":null},{"id":"W772669228","doi":"","title":"Simulating Amblyopic Noise: Reduction in Saccadic Adaptation in Controls","year":2014,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Saccadic masking; Reduction (mathematics); Adaptation (eye); Noise (video); Noise reduction; Audiology; Psychology; Computer science; Medicine; Acoustics; Neuroscience; Physics; Eye movement; Mathematics; Artificial intelligence","score_opus":0.03763785066086871,"score_gpt":0.2983807092680877,"score_spread":0.26074285860721896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W772669228","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":[0.99486864,0.00002191852,0.003991705,0.000037224832,0.00004694185,0.000030035048,0.00018667932,0.00008362067,0.0007332287],"genre_scores_gemma":[0.99868053,0.000016934446,0.0007776451,0.000020549958,0.000004085142,0.000027157677,0.0001128065,0.000018789591,0.00034142376],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997898,0.000050210765,0.000018206825,0.000040918236,0.000042248168,0.000058727306],"domain_scores_gemma":[0.99916947,0.00046578154,0.000055072276,0.000103640654,0.000104186,0.00010193076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023362225,0.00044442317,0.00025831826,0.00022329007,0.000164693,0.0005625217,0.00034992048,0.0005194628,0.002590585],"category_scores_gemma":[0.0032863207,0.0001339171,0.00025448957,0.00010393525,0.0002513454,0.0001895733,0.000378258,0.00025976804,0.00025113364],"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":[0.020337768,0.0017908607,0.017272325,0.00055898976,0.000263087,0.0013547074,0.0011111809,0.24218638,0.6741991,0.0018835713,0.001763577,0.03727841],"study_design_scores_gemma":[0.00081467174,0.006323579,0.0772689,0.00009821274,0.00042794595,0.0005025771,0.0006812909,0.80783767,0.10216996,0.0020555535,0.0016992775,0.00012039935],"about_ca_topic_score_codex":0.008492074,"about_ca_topic_score_gemma":0.0029722166,"teacher_disagreement_score":0.008492074,"about_ca_system_score_codex":0.0002405034,"about_ca_system_score_gemma":0.0003915469,"threshold_uncertainty_score":0.01688528},"labels":[],"label_agreement":null},{"id":"W941583408","doi":"","title":"Plant landscaping design for Lvjiayuan residential quarter in Kunming.","year":2009,"lang":"en","type":"article","venue":"Xi'nan Linxueyuan xuebao","topic":"Remote Sensing and Land Use","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":"Landscaping; Beautification; Fencing; Quarter (Canadian coin); Residential area; Geography; Agroforestry; Architectural engineering; Civil engineering; Engineering; Environmental science; Ecology; Computer science; Biology; Archaeology","score_opus":0.026461108162821805,"score_gpt":0.22863758751412125,"score_spread":0.20217647935129945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W941583408","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":[0.9923488,0.000045225876,0.0040034233,0.000016262538,0.0000040499385,0.000045052133,0.00018500161,0.00005185439,0.0033003185],"genre_scores_gemma":[0.9895616,0.000028484477,0.00793193,0.0000044356757,0.0000010566848,0.000042312506,0.00021153792,0.000008979644,0.0022096469],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9999285,0.000016311711,0.0000030485257,0.000021539056,0.000013790319,0.000016775064],"domain_scores_gemma":[0.99995005,0.000006883302,0.0000072192884,0.000008734049,0.000014704949,0.000012401315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012128301,0.00018547139,0.00017989638,0.00053430867,0.0005910539,0.00028792952,0.00023736512,0.00015336717,0.001952965],"category_scores_gemma":[0.00016392187,0.00013607176,0.00024223563,0.0005977508,0.00015175596,0.00012661105,0.00024145783,0.00009996768,0.0001721863],"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":[0.0014655768,0.00044756453,0.3102313,0.00066087325,0.00011871948,0.0021251075,0.0055055604,0.088404246,0.19891238,0.0045381067,0.0038300136,0.38376063],"study_design_scores_gemma":[0.00004658879,0.0008562026,0.891835,0.000031764735,0.000108523396,0.0008406305,0.0045596277,0.069798306,0.014077522,0.0010130886,0.016767731,0.00006512618],"about_ca_topic_score_codex":0.008353992,"about_ca_topic_score_gemma":0.04889129,"teacher_disagreement_score":0.008353992,"about_ca_system_score_codex":0.0005731619,"about_ca_system_score_gemma":0.00047524553,"threshold_uncertainty_score":0.016610682},"labels":[],"label_agreement":null}]}