{"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3370787,0.14988342,0.0019779298,0.0027397624,0.0033565417,0.001408802,0.000014047762,0.00036464471,0.50317615],"genre_scores_gemma":[0.70990866,0.20277528,0.0024660556,0.022512427,0.0015703193,0.0000025284419,0.00009517625,0.000022398715,0.060647175],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989742,0.00014157037,0.0002214831,0.00018037586,0.00016233546,0.00032002825],"domain_scores_gemma":[0.9992142,0.00021758003,0.00008439646,0.00035801338,0.000017666436,0.00010818741],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005664051,0.00012030738,0.00018475998,0.00013137759,0.00018988221,0.000076900615,0.0002608854,0.00004102751,0.005481022],"category_scores_gemma":[0.00013468518,0.000061610386,0.00011535966,0.0012344475,0.00004615035,0.00007336436,0.000006809336,0.00016296815,0.0022159328],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017460712,0.0000059434196,0.028165098,0.0000024001777,0.000005777122,0.000009094252,0.000033597596,0.000008993812,0.0000020299776,7.486943e-7,0.07053715,0.9012117],"study_design_scores_gemma":[0.000106290485,0.00006926258,0.03870333,0.000008757231,0.000014397515,0.000059340717,0.00001781821,0.002846777,0.000011275836,0.00013750559,0.95792145,0.00010381783],"about_ca_topic_score_codex":0.0126826875,"about_ca_topic_score_gemma":0.0021826578,"teacher_disagreement_score":0.9011079,"about_ca_system_score_codex":0.0000026733287,"about_ca_system_score_gemma":0.000011670288,"threshold_uncertainty_score":0.99856097},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945623,0.00047465126,0.00037852422,0.0007790632,0.0005249099,0.00007025888,0.0000059460103,0.0000029703565,0.0032013368],"genre_scores_gemma":[0.9840287,0.000030782627,0.015616808,0.000113473565,0.00013510349,2.1285191e-9,0.0000011604653,0.000002281007,0.000071715855],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989436,0.000025234853,0.00021380428,0.00014388509,0.00020383917,0.0004696014],"domain_scores_gemma":[0.9990227,0.000032760465,0.00012023947,0.00010224712,0.00012691591,0.00059512455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008454438,0.00008093967,0.00014784645,0.00039145965,0.00037665243,0.00008116111,0.0002326134,0.000036028487,0.000017086268],"category_scores_gemma":[0.00018882279,0.000062733925,0.00004840563,0.0005502798,0.00059976504,0.00023886323,0.000002076445,0.00015169455,0.0000065985555],"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":[0.000039143815,0.0000031760835,0.25974444,0.000012141718,0.0000054443726,0.0012189216,0.0026431507,0.0024398381,0.00013220364,0.000013287295,0.00079602393,0.73295224],"study_design_scores_gemma":[0.00038613196,0.00014309656,0.9442138,0.00011349769,0.000004544366,0.0022521592,0.00014670174,0.048647765,0.0004773689,0.00071574724,0.00274552,0.00015363947],"about_ca_topic_score_codex":0.07428949,"about_ca_topic_score_gemma":0.4758986,"teacher_disagreement_score":0.7327986,"about_ca_system_score_codex":0.000029338174,"about_ca_system_score_gemma":0.0020409247,"threshold_uncertainty_score":0.9318749},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15506011,0.014949348,0.00018186879,0.0017465734,0.004932699,0.00078713085,0.00032295415,0.0006328235,0.8213865],"genre_scores_gemma":[0.35019916,0.021133682,0.026693325,0.025925025,0.017566832,0.0000031813443,0.013089084,0.00024222407,0.5451475],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99787325,0.00010017093,0.000633072,0.0002664768,0.00046269808,0.00066435506],"domain_scores_gemma":[0.99900335,0.00012512371,0.00027397735,0.0003769134,0.000055966397,0.00016464107],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00061718497,0.00037718329,0.00046033555,0.00039654953,0.00013553047,0.00032978525,0.00031846925,0.00046540613,0.003992646],"category_scores_gemma":[0.00008880892,0.00027647617,0.00010459712,0.0002620241,0.00007435493,0.0010194161,0.00002781564,0.00048039985,0.0018493965],"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":[0.000038526134,0.000021683823,0.409431,0.00025693612,0.000046939407,0.0000151380955,0.0020136542,0.002224933,7.64626e-7,0.000021558706,0.1563041,0.42962474],"study_design_scores_gemma":[0.0001837177,0.000022986882,0.07709167,0.00019814578,0.000018080218,0.000012427379,0.00016932406,0.0019350868,0.000022485048,0.000080697355,0.9198511,0.000414239],"about_ca_topic_score_codex":0.0777732,"about_ca_topic_score_gemma":0.025188813,"teacher_disagreement_score":0.76354706,"about_ca_system_score_codex":0.000013106918,"about_ca_system_score_gemma":0.00010885372,"threshold_uncertainty_score":0.99996877},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99731547,0.000013900454,0.00000934909,0.00012824032,0.00002581635,0.00025065252,0.000005033958,0.0000039602623,0.0022475782],"genre_scores_gemma":[0.9997791,0.000001841563,0.00008796652,0.00008745055,0.000007811483,7.4035273e-7,0.000008018288,9.71783e-7,0.000026108866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990943,0.00005534289,0.00018127057,0.00023333008,0.00019907724,0.00023666029],"domain_scores_gemma":[0.9996408,0.000019396839,0.000059334165,0.00008830403,0.000036666406,0.00015549414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004901415,0.00006744981,0.00011981859,0.00038075645,0.00020858938,0.00006472434,0.0001086478,0.000031990472,0.000031065636],"category_scores_gemma":[0.00005804078,0.000054815235,0.000011373006,0.0010246871,0.000066289846,0.00018524585,0.0000045206934,0.00006400931,0.0000058513874],"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":[0.0000023005953,0.000016283617,0.9279992,0.0000020164468,0.0000038389503,0.00004228596,0.006898305,0.000108147105,0.000014750082,0.0000042240877,0.000014919444,0.06489373],"study_design_scores_gemma":[0.00010386469,0.00003494013,0.9873864,0.000006804305,0.0000047885005,0.0000031821542,0.0052333986,0.0070654526,0.000014302951,0.000012977021,0.00005922343,0.00007466196],"about_ca_topic_score_codex":0.5566873,"about_ca_topic_score_gemma":0.91927797,"teacher_disagreement_score":0.36259064,"about_ca_system_score_codex":0.00006699941,"about_ca_system_score_gemma":0.00046105374,"threshold_uncertainty_score":0.44626474},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98684824,0.0026761957,0.0000029743935,0.00015027932,0.00009806083,0.0001653824,0.000018786082,0.000024599725,0.010015502],"genre_scores_gemma":[0.99834055,0.00004704552,0.0007569941,0.00012638338,0.00032825218,4.833832e-7,0.000052463645,0.0000041693565,0.00034369106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998987,0.00013479563,0.00018390805,0.00027615984,0.0002173438,0.0002007522],"domain_scores_gemma":[0.9993974,0.00020306605,0.0001384146,0.00015736908,0.000050967257,0.000052793595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021683768,0.00020348886,0.00029169177,0.00005656766,0.00020779656,0.00009002093,0.00008092229,0.000053650663,0.000019673409],"category_scores_gemma":[0.00007743809,0.00008759536,0.000027496017,0.00034545758,0.00021308534,0.00012289312,0.000011058742,0.00030341168,4.619589e-7],"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":[0.00013694484,0.000017184642,0.909368,0.000028807803,0.0001009454,0.000024153373,0.078488685,0.000023758103,0.000007393344,0.00020319346,0.002755624,0.008845312],"study_design_scores_gemma":[0.00378719,0.0020007663,0.55206794,0.0015777955,0.000115329,0.00041161437,0.43636057,0.00046315414,0.00009679021,0.00012207082,0.0024227428,0.0005740186],"about_ca_topic_score_codex":0.00019461219,"about_ca_topic_score_gemma":0.002223297,"teacher_disagreement_score":0.3578719,"about_ca_system_score_codex":0.0000030914653,"about_ca_system_score_gemma":0.000011765419,"threshold_uncertainty_score":0.3572035},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924713,0.00007274967,0.000022986069,0.000008848887,0.0008783928,0.00046125232,0.00001626441,0.000019790126,0.006048418],"genre_scores_gemma":[0.9856254,0.0000021703484,0.0025474583,0.000087631204,0.00009522895,8.770197e-9,0.00030122034,0.00001131516,0.01132961],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99812907,0.0001025116,0.0005038454,0.0004466648,0.00046662102,0.0003512875],"domain_scores_gemma":[0.99880666,0.000086942004,0.00023783087,0.00039862117,0.00020418156,0.00026575092],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015703801,0.00031323225,0.000527452,0.00022016723,0.00020479421,0.00008744602,0.00012151805,0.00013565086,0.0010060032],"category_scores_gemma":[0.00003475676,0.00024931948,0.00006873612,0.00033186143,0.0000084845,0.00006891014,0.000005956054,0.0002798447,0.000012107185],"study_design_candidate":"design_other","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":[0.00049756916,0.00012687333,0.1997644,0.00032280953,0.0009615931,0.025705097,0.047018435,0.029963994,0.00017911626,4.6238185e-7,0.023670081,0.6717896],"study_design_scores_gemma":[0.0021255487,0.001631666,0.46959352,0.0008979356,0.0015353311,0.0047256625,0.1688226,0.336889,0.0005524149,0.000027207832,0.009867435,0.0033316643],"about_ca_topic_score_codex":0.99997663,"about_ca_topic_score_gemma":0.99999624,"teacher_disagreement_score":0.6684579,"about_ca_system_score_codex":0.000052542815,"about_ca_system_score_gemma":0.0012082469,"threshold_uncertainty_score":0.9999959},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026777575,0.000933295,0.010993252,0.00019407486,0.00020984633,0.00067459984,0.0002713376,0.00008590155,0.9839599],"genre_scores_gemma":[0.22248581,0.0018395741,0.008747349,0.0015827867,0.0012056151,6.5342874e-7,0.008153887,0.000049938564,0.75593436],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999223,0.000004799091,0.00019283134,0.00027420948,0.00013067973,0.00017450238],"domain_scores_gemma":[0.999376,0.0002262239,0.00007523093,0.00010390728,0.00006165433,0.00015700777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015991343,0.00017456984,0.000208411,0.000056812267,0.000105316976,0.000036193956,0.00005491589,0.00026049378,0.00042665328],"category_scores_gemma":[0.000016701933,0.00013243424,0.00005875094,0.000012640001,0.00004087125,0.000047275025,0.000002438757,0.00015681866,0.00065824704],"study_design_candidate":"design_other","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":[0.00025093224,0.000010807086,0.0006908176,0.00009274711,0.000083864106,0.00000835054,0.000081444814,0.00026105205,0.0000039316315,0.006047748,0.0059055686,0.9865627],"study_design_scores_gemma":[0.0011734419,0.0004516828,0.0141332485,0.00016602149,0.00020959626,0.00015734596,0.00004353083,0.09710441,0.000038871938,0.024768172,0.86060154,0.0011521286],"about_ca_topic_score_codex":0.000107296764,"about_ca_topic_score_gemma":0.00046011942,"teacher_disagreement_score":0.98541063,"about_ca_system_score_codex":0.0000025893964,"about_ca_system_score_gemma":0.000020515678,"threshold_uncertainty_score":0.84606534},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840036,0.00006287294,0.008790154,0.0020219882,0.00090515055,0.0012483462,0.00044627342,0.00023170664,0.0022898961],"genre_scores_gemma":[0.99649924,0.0000049307932,0.0011530023,0.00042019633,0.00018149757,0.000005631223,0.00031810973,0.0000077625355,0.0014096573],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988466,0.000088162225,0.00022466191,0.00033357297,0.00019699987,0.0003100241],"domain_scores_gemma":[0.998973,0.00035110995,0.00009551575,0.00027024155,0.00015154365,0.00015854803],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015604979,0.00023415055,0.00029090053,0.00008328088,0.00018641062,0.00016826057,0.00015011638,0.00010341915,0.002072281],"category_scores_gemma":[0.00033749215,0.00013888425,0.0000973571,0.00008395258,0.00007277187,0.00026838062,0.0000037647144,0.00013022262,0.0005832494],"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":[0.003623828,0.00034595028,0.6691875,0.00030599203,0.00015310272,0.000039349612,0.0010432221,0.020187808,0.011220087,0.000033086922,0.009493245,0.28436685],"study_design_scores_gemma":[0.0011234069,0.0004189687,0.3729962,0.0000456189,0.000012343946,0.0000040477285,0.000008967541,0.62476206,0.000046024506,0.00010372673,0.0003552756,0.00012335741],"about_ca_topic_score_codex":0.00032454607,"about_ca_topic_score_gemma":0.00021394853,"teacher_disagreement_score":0.60457426,"about_ca_system_score_codex":0.000004546641,"about_ca_system_score_gemma":0.00007058215,"threshold_uncertainty_score":0.99884},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980044,0.0021721246,0.0002125738,0.00008204246,0.00040538417,0.00057304266,0.00038005202,0.000012440195,0.016118325],"genre_scores_gemma":[0.96648276,0.0023859758,0.01928389,0.000013977919,0.00034108607,0.0000036531505,0.0049169743,0.00002935999,0.006542333],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997269,0.0006869665,0.00048660513,0.0007240513,0.0003140783,0.0005193151],"domain_scores_gemma":[0.9976662,0.0012496426,0.00033639898,0.00033655125,0.00017439773,0.00023680438],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00088531687,0.00050103414,0.0004697392,0.00013051448,0.00084378436,0.0016231071,0.0005417521,0.0008720808,0.0017337095],"category_scores_gemma":[0.00039926395,0.0004271562,0.0001683686,0.00022437074,0.00078131614,0.00078225916,0.000029061603,0.0007135381,0.0002567323],"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":[0.00013863707,0.0001398976,0.34280273,0.00016022402,0.00004795856,0.00003413705,0.0052015316,0.0004030527,0.0038352844,0.000006264919,0.0001740502,0.6470562],"study_design_scores_gemma":[0.0005062136,0.00011826469,0.92876047,0.00046945692,0.00018102382,0.00011507124,0.002249581,0.008791882,0.008790369,0.00055498455,0.04888976,0.000572929],"about_ca_topic_score_codex":0.017146891,"about_ca_topic_score_gemma":0.15683106,"teacher_disagreement_score":0.6464833,"about_ca_system_score_codex":0.00003558737,"about_ca_system_score_gemma":0.00034293448,"threshold_uncertainty_score":0.999818},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96379673,0.022476358,0.0000103134025,0.0005351543,0.0017469466,0.0005634771,0.000008030628,0.000045863613,0.010817097],"genre_scores_gemma":[0.9917145,0.0065241866,0.0012626045,0.00027489747,0.000130609,0.0000020356522,0.000011300957,0.000003755101,0.00007616062],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9953604,0.00013291897,0.00056451414,0.0012602786,0.0014505738,0.0012313664],"domain_scores_gemma":[0.9991776,0.00015684184,0.00021695117,0.0002891422,0.0000093714525,0.00015014067],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012996644,0.0004045739,0.00039060213,0.00075284013,0.0005252789,0.00016682642,0.0010455761,0.000098164535,0.00007242873],"category_scores_gemma":[0.00014084791,0.0002847508,0.000078462945,0.0027007256,0.0016119325,0.005019631,0.00004236415,0.00093420525,0.000057076206],"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":[0.000121820965,0.00009330094,0.05340629,0.0000065189074,6.233526e-7,0.00003818982,0.00025482735,0.09112551,0.00086069433,0.00025924452,0.000001541374,0.8538314],"study_design_scores_gemma":[0.00077606406,0.0007486498,0.9126825,0.00017661115,0.000002234406,0.000029170651,0.00034298692,0.05969917,0.0010073376,0.020202186,0.003665212,0.00066791824],"about_ca_topic_score_codex":0.00060323486,"about_ca_topic_score_gemma":0.0030946594,"teacher_disagreement_score":0.8592762,"about_ca_system_score_codex":0.00021347316,"about_ca_system_score_gemma":0.00009545129,"threshold_uncertainty_score":0.9999605},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99735296,0.00057954947,0.000004811711,0.000828772,0.00039868182,0.00008900557,0.0000020487373,0.0000029212272,0.0007412422],"genre_scores_gemma":[0.9987158,0.00046792158,0.0002858787,0.00012960978,0.000191419,2.2379414e-8,4.0915293e-7,0.0000037652687,0.00020516322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863267,0.00023479234,0.00045168443,0.0000751641,0.0004068145,0.00019885442],"domain_scores_gemma":[0.9988145,0.00033898506,0.00047422093,0.00022391956,0.000094210496,0.000054142263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010136709,0.000098517,0.0002779271,0.000030590574,0.0001050642,0.000018664452,0.0003715622,0.000050236828,0.00007027992],"category_scores_gemma":[0.0002092082,0.000048096597,0.00027085625,0.00035608117,0.00013770335,0.00006946155,0.000017451448,0.0002597533,0.000004663464],"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":[0.000096686046,0.00005937627,0.97436297,0.00020222165,0.00009011812,0.0000059560693,0.0041864575,0.010509035,0.001313649,0.0000016844588,0.0020958243,0.0070760017],"study_design_scores_gemma":[0.0006779045,0.00009582007,0.99123853,0.0003369574,0.00005723634,0.00016192984,0.00079276436,0.005314755,0.00045397505,0.0001508327,0.00065217674,0.00006710252],"about_ca_topic_score_codex":0.00076730584,"about_ca_topic_score_gemma":0.00046849463,"teacher_disagreement_score":0.016875556,"about_ca_system_score_codex":0.000006485391,"about_ca_system_score_gemma":0.000053781067,"threshold_uncertainty_score":0.19613223},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8805672,0.0006874241,0.009215429,0.0014332075,0.005923491,0.00039465117,0.0023073342,0.00018885513,0.09928242],"genre_scores_gemma":[0.9257742,0.000271136,0.019504687,0.00067316886,0.0006145749,1.6383083e-7,0.0004911236,0.000018530809,0.052652407],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978554,0.00008250286,0.00036274985,0.00052235037,0.0004263707,0.00075061055],"domain_scores_gemma":[0.99858534,0.00016357492,0.00013235325,0.0005899899,0.00009148928,0.00043724757],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00041025566,0.00031995273,0.00035505506,0.00009381313,0.00040204643,0.00031741758,0.00033886862,0.0002686669,0.0026004883],"category_scores_gemma":[0.00010447586,0.00025857595,0.000090105685,0.00016751363,0.00016510574,0.00021068506,0.000028833183,0.0007118131,0.004460969],"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":[0.00024282643,0.00021960605,0.047658753,0.00020908771,0.00013321573,0.00039966629,0.0031563605,0.059189692,0.00067568716,0.001067312,0.2627726,0.6242752],"study_design_scores_gemma":[0.00045075064,0.00012396951,0.015369354,0.000034816763,0.000068767244,0.000042799555,0.0001378583,0.86927074,0.00011755562,0.001796126,0.112142704,0.0004445408],"about_ca_topic_score_codex":0.0063390047,"about_ca_topic_score_gemma":0.0129344845,"teacher_disagreement_score":0.81008106,"about_ca_system_score_codex":0.0000049548735,"about_ca_system_score_gemma":0.0002572344,"threshold_uncertainty_score":0.99998665},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985542,0.00046482598,0.00003350459,0.000033708784,0.000050195464,0.000037901267,0.0000016885894,0.0000014815486,0.00082246796],"genre_scores_gemma":[0.999374,0.00048014845,0.000057138488,0.000019010668,0.000028895456,1.4282779e-8,0.000004746841,9.0997617e-7,0.000035150933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942774,0.000089085406,0.00019281669,0.000071340575,0.00014843408,0.00007057698],"domain_scores_gemma":[0.99977505,0.000007127143,0.00009341248,0.000041701176,0.000004310144,0.00007840929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029052375,0.000053894033,0.00011333489,0.00010546461,0.000023216524,0.000025554868,0.00003580307,0.000022236785,0.000020373533],"category_scores_gemma":[0.000001394965,0.000038443024,0.000010579653,0.0000347178,0.000028066765,0.00015139866,0.000004207201,0.000054705037,4.1540287e-7],"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":[0.00015241368,0.00012563009,0.8830337,0.0000062509534,0.000020557176,0.000062078005,0.0005328141,0.0034243255,0.000007538541,0.0000083082095,0.000083341874,0.11254304],"study_design_scores_gemma":[0.0010287281,0.0012648093,0.9854541,0.000009247737,0.000020924455,0.00003233619,0.0034134379,0.008374431,0.0000036982995,0.00020043958,0.00015291732,0.000044942015],"about_ca_topic_score_codex":0.0005042505,"about_ca_topic_score_gemma":0.00084050396,"teacher_disagreement_score":0.1124981,"about_ca_system_score_codex":0.00000297339,"about_ca_system_score_gemma":0.0000051407123,"threshold_uncertainty_score":0.15676612},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97694445,0.005267292,5.9251556e-7,0.005328695,0.000021023394,0.00011990508,0.0000040524424,0.0000067143246,0.012307259],"genre_scores_gemma":[0.9984954,0.0010151787,0.00012687693,0.00004809994,0.000042387197,5.727083e-7,0.00006622408,9.79612e-7,0.00020431021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991281,0.0003342319,0.00012883636,0.00005991836,0.00018404446,0.00016486281],"domain_scores_gemma":[0.9987514,0.00073278183,0.000046298595,0.0003342737,0.000107200016,0.0000280727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014918366,0.000044027263,0.00005020512,0.00002250365,0.000781203,0.00021100714,0.00030011236,0.00003405313,0.000011281894],"category_scores_gemma":[0.00010987753,0.0000199438,0.00001704799,0.00017747929,0.0004882403,0.0003236602,0.000020271404,0.00020867791,0.000011424978],"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":[0.000045011362,0.000024775747,0.8999058,0.000011987101,0.000005775823,3.1172576e-7,0.004336862,0.000080594014,0.000050314044,0.0026010475,0.0017017052,0.09123584],"study_design_scores_gemma":[0.000092817936,0.00002015135,0.9358922,0.000019124522,0.0000019376214,0.000013240042,0.0018893144,0.00087228126,0.000019324532,0.00043123137,0.060713995,0.000034335124],"about_ca_topic_score_codex":0.0019527292,"about_ca_topic_score_gemma":0.0042741084,"teacher_disagreement_score":0.09120151,"about_ca_system_score_codex":0.0000027670746,"about_ca_system_score_gemma":0.000018011735,"threshold_uncertainty_score":0.60084605},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756813,0.00020042594,0.000010370333,0.0015053194,0.00043447778,0.000035293473,0.000095759126,0.000004663815,0.00014557983],"genre_scores_gemma":[0.9983856,0.000097671626,0.00089766097,0.00021857883,0.0003124391,8.665792e-9,0.00007778979,0.00000142944,0.000008820402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992724,0.000074483934,0.0001877679,0.00014170453,0.00015201585,0.00017159608],"domain_scores_gemma":[0.9992412,0.000176179,0.0002018795,0.0001871365,0.000063252235,0.00013039856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019362486,0.000108927474,0.00024207382,0.00017886084,0.0000769398,0.000030886713,0.00020181542,0.00014287583,0.00022145135],"category_scores_gemma":[0.00007834492,0.00005950023,0.000057689238,0.00013088844,0.00015786412,0.000112254944,0.000013752956,0.00042274335,8.000126e-7],"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":[0.00028221242,0.000022490785,0.98648524,0.000007337512,0.000032610318,0.000026507922,0.000040986277,0.00013614565,0.000049791615,0.0000051400375,0.0002810249,0.012630504],"study_design_scores_gemma":[0.00046191702,0.0005403791,0.9931621,0.000018487102,0.000037871898,0.00041389625,0.000017154209,0.0010940689,0.00002566562,0.00017712086,0.003972007,0.000079349964],"about_ca_topic_score_codex":0.00057927263,"about_ca_topic_score_gemma":0.004769237,"teacher_disagreement_score":0.012551154,"about_ca_system_score_codex":2.959734e-7,"about_ca_system_score_gemma":0.000016703836,"threshold_uncertainty_score":0.26613462},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99577963,0.000027311968,0.00031300428,0.0004999168,0.00005398204,0.00008039576,0.000057459158,0.000014180571,0.003174122],"genre_scores_gemma":[0.9964704,0.00013263251,0.0029530888,0.00006914634,0.000084407446,8.075962e-7,0.00008170267,0.0000033104275,0.00020454056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917233,0.0000039805395,0.0002675452,0.00021885819,0.00018960351,0.00014768679],"domain_scores_gemma":[0.99967885,0.000042865377,0.00012791937,0.000040108127,0.000062033396,0.000048233007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017059645,0.000101278776,0.00014403797,0.000117874864,0.000055799734,0.00007419921,0.000097260265,0.000056897818,0.000100089506],"category_scores_gemma":[0.00002369249,0.00008841959,0.00002461369,0.00003982555,0.00007402274,0.00020484312,0.0000123096,0.00008226929,0.000008246881],"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":[0.0010708028,0.00008097112,0.4868644,0.00010952982,0.000056205296,0.0000025879754,0.003903142,0.0022729514,0.004363886,0.014427127,0.00012260868,0.48672578],"study_design_scores_gemma":[0.001110471,0.000089457535,0.95497715,0.00008555028,0.000013089609,0.0000071904806,0.00022800105,0.034873188,0.00073138566,0.0017417272,0.0059245788,0.00021818213],"about_ca_topic_score_codex":0.0006946475,"about_ca_topic_score_gemma":0.00026589408,"teacher_disagreement_score":0.4865076,"about_ca_system_score_codex":0.000012988673,"about_ca_system_score_gemma":0.000014690357,"threshold_uncertainty_score":0.36056465},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985755,0.000015234669,0.00004065761,0.00013547155,0.00026277956,0.00009808848,3.251807e-7,0.000004514599,0.00086744083],"genre_scores_gemma":[0.9976991,0.0000048435177,0.0019996352,0.000058508143,0.00007343367,7.262344e-8,0.000010942146,0.0000018658681,0.00015161421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899083,0.0000808201,0.00026565406,0.00008917022,0.00038577348,0.00018774955],"domain_scores_gemma":[0.9993593,0.00007405552,0.00015274268,0.000071728056,0.00025577587,0.000086360385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017820087,0.00006962149,0.0001074862,0.00026959187,0.000109532506,0.00011615445,0.00008114606,0.000052325864,0.00012763389],"category_scores_gemma":[0.00026415774,0.000050984956,0.000017906214,0.00017516433,0.000011377676,0.0005067192,0.00000280368,0.00024226212,0.000004110701],"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":[0.00010927411,0.00005070483,0.87046295,0.000009485882,0.000008027412,0.00016169582,0.0010882737,0.008720052,0.00018823656,0.000021234546,0.00008069258,0.11909936],"study_design_scores_gemma":[0.00049195654,0.00010597598,0.98468065,0.000022248034,0.0000047579806,0.00003295355,0.00087737484,0.010040658,0.00041260658,0.00020437839,0.0030473145,0.000079098434],"about_ca_topic_score_codex":0.0005260388,"about_ca_topic_score_gemma":0.0018178705,"teacher_disagreement_score":0.11902026,"about_ca_system_score_codex":0.000026753076,"about_ca_system_score_gemma":0.00033590215,"threshold_uncertainty_score":0.20791061},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9497167,0.000011485572,0.000013527636,0.005496938,0.00044976806,0.00017075757,0.0000029658013,0.000021987496,0.044115897],"genre_scores_gemma":[0.9995701,0.0000062760237,0.00006017417,0.000023243198,0.00018052102,9.302869e-8,0.000002541957,7.638505e-7,0.00015633584],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99907064,0.000089721056,0.00015348315,0.00020622232,0.00030764108,0.00017227716],"domain_scores_gemma":[0.99966264,0.000021576408,0.00012562152,0.00008766761,0.00004366331,0.000058808986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045953415,0.00007099195,0.000108307,0.000025810474,0.0007000129,0.00010872678,0.0001287233,0.000026326432,0.000009001066],"category_scores_gemma":[0.00004861947,0.00002861145,0.00002643867,0.00028795638,0.0005218889,0.00027507465,0.0000113005935,0.00008601574,0.0000095335945],"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":[0.000021791542,0.0000046983405,0.08909083,0.00002340888,0.0000035077185,5.157519e-7,0.005008939,0.00000483035,0.0005126037,0.0011541294,0.00014007081,0.9040347],"study_design_scores_gemma":[0.000071881135,0.00002875358,0.99367756,0.000037402246,0.000003362825,0.000026537438,0.0057224524,0.0000637892,0.0001172738,0.000112376416,0.00007829937,0.000060287755],"about_ca_topic_score_codex":0.0021152857,"about_ca_topic_score_gemma":0.00013911286,"teacher_disagreement_score":0.90458673,"about_ca_system_score_codex":0.000010087136,"about_ca_system_score_gemma":0.000025742695,"threshold_uncertainty_score":0.5384004},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676017,0.00007183721,0.030401614,0.00087007857,0.00024809278,0.000034377335,0.0000029057815,0.000007996596,0.0007613879],"genre_scores_gemma":[0.9492104,0.00002005912,0.05046413,0.00013934748,0.0001370496,6.6170663e-10,0.0000059060985,0.000004607133,0.000018486751],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998595,0.0001090248,0.00044978276,0.00016910137,0.0005160913,0.00016101322],"domain_scores_gemma":[0.99878335,0.00027763133,0.00047338285,0.000097185286,0.00026919265,0.00009928699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069438206,0.00012826336,0.00035226427,0.0009179471,0.00005003322,0.000100520105,0.00014160882,0.000058138234,0.000013929575],"category_scores_gemma":[0.0002537399,0.00010404143,0.00010754762,0.00042301338,0.000065516586,0.0001422362,0.000008775244,0.00021085794,0.000001395794],"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":[0.0003650285,0.000023270784,0.14473045,0.000026985535,0.00014412825,0.00010538495,0.0004971434,0.052651368,0.0006887479,0.0000051751667,0.00002203585,0.8007403],"study_design_scores_gemma":[0.00068784755,0.00011149196,0.24759266,0.0005381139,0.00006779224,0.00006942956,0.00008085644,0.74975485,0.0005458144,0.00033550526,0.00011615893,0.0000994831],"about_ca_topic_score_codex":0.0024397878,"about_ca_topic_score_gemma":0.00088541,"teacher_disagreement_score":0.8006408,"about_ca_system_score_codex":0.000018253962,"about_ca_system_score_gemma":0.000045302895,"threshold_uncertainty_score":0.42426863},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9370747,0.00005655199,0.061585777,0.00009308526,0.0010134872,0.000042185202,0.0000013423089,0.000017373908,0.00011546224],"genre_scores_gemma":[0.98448116,0.000019695979,0.015169799,0.000029761279,0.0002685333,2.2311415e-8,0.00001881085,0.0000023742523,0.00000982196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927634,0.0000619704,0.00027104554,0.00006827832,0.0002558883,0.00006649433],"domain_scores_gemma":[0.9992478,0.00002447216,0.00024739784,0.00003664298,0.00038093544,0.00006274369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018976294,0.0000635002,0.00008599163,0.00016044655,0.00006286365,0.00022705538,0.000071436436,0.000044076616,0.00002186108],"category_scores_gemma":[0.000020971496,0.000046362715,0.000029320558,0.00006006027,0.000015231877,0.0007068732,0.0000030327014,0.00007706355,0.000009553983],"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":[0.00001877319,0.000016534279,0.0067764134,0.000010474983,0.000032247044,0.0000096752265,0.00018540295,0.5094169,0.0028072367,0.000043916563,0.000008418716,0.48067403],"study_design_scores_gemma":[0.00018034501,0.000099539946,0.18229389,0.00007038115,0.000011084878,0.0002555819,0.00013024923,0.81649864,0.00023059503,0.000139922,0.000043060965,0.00004671781],"about_ca_topic_score_codex":0.000749529,"about_ca_topic_score_gemma":0.000108047556,"teacher_disagreement_score":0.48062733,"about_ca_system_score_codex":0.000018133505,"about_ca_system_score_gemma":0.000022799977,"threshold_uncertainty_score":0.21895002},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94686943,0.00005085613,0.000053912852,0.00012331754,0.00046353295,0.00010611232,0.000004652191,0.000008926039,0.052319273],"genre_scores_gemma":[0.999658,0.0000039988904,0.00006475637,0.000034000244,0.00021217493,8.128214e-8,0.000012262023,9.687816e-7,0.0000137978595],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987756,0.00012217097,0.00015509465,0.00012951512,0.00056725566,0.00025036908],"domain_scores_gemma":[0.9995265,0.000036410238,0.00008929834,0.000063329775,0.0002128346,0.00007164062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023823828,0.00005544375,0.000102621096,0.00010019376,0.00016240969,0.000027360042,0.00010553287,0.0000688668,0.00015698526],"category_scores_gemma":[0.0006265713,0.000046046218,0.000020279924,0.0007541845,0.00021784334,0.00035517084,0.000008601543,0.00010354361,0.000011952741],"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":[0.000008585605,0.00000906044,0.47329226,0.0000011337141,0.0000010504731,1.678126e-7,0.0030206484,0.000019682459,0.000039489176,0.000023609602,0.000027138196,0.5235572],"study_design_scores_gemma":[0.0003050818,0.000023280463,0.9930839,0.000013619321,0.000009651027,0.0000016802329,0.0016672317,0.0042289793,0.00026912926,0.00017118418,0.00015991445,0.000066355424],"about_ca_topic_score_codex":0.0022405423,"about_ca_topic_score_gemma":0.0011479843,"teacher_disagreement_score":0.52349085,"about_ca_system_score_codex":0.000018049628,"about_ca_system_score_gemma":0.00016483375,"threshold_uncertainty_score":0.33870447},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98999816,0.00028135086,0.0009799524,0.0030973055,0.000095611846,0.00011241654,0.0000017731611,0.0000036740382,0.0054297405],"genre_scores_gemma":[0.99783456,0.00013110362,0.0019362821,0.000064403066,0.000027792987,1.2155965e-7,2.8377835e-7,5.478364e-7,0.0000048758866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988767,0.00010873262,0.00041027312,0.00008914806,0.00040561194,0.0001095342],"domain_scores_gemma":[0.99881876,0.0004764728,0.00052453205,0.00010515914,0.000055857454,0.000019252684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019448166,0.000065334345,0.00020404047,0.000056632613,0.0001307119,0.000056953588,0.00028461768,0.000037082304,0.00003722497],"category_scores_gemma":[0.00016535968,0.000026000456,0.000035652793,0.00027877552,0.00069261645,0.00016851517,0.0000149782,0.00020614796,7.7055637e-7],"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":[0.00006183566,0.000056241508,0.5848619,0.000023704446,0.000022729926,7.451378e-7,0.0031019005,0.0031692677,0.0047037923,0.003570801,0.00021831253,0.4002088],"study_design_scores_gemma":[0.00015669939,0.00013649827,0.97359306,0.000023249564,0.0000057437956,0.000004563397,0.010100856,0.004036813,0.0009982623,0.01083851,0.00006277132,0.00004295021],"about_ca_topic_score_codex":0.009816827,"about_ca_topic_score_gemma":0.0036485854,"teacher_disagreement_score":0.40016586,"about_ca_system_score_codex":0.0000027713183,"about_ca_system_score_gemma":0.00010334533,"threshold_uncertainty_score":0.9967769},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859977,0.00020983483,0.00012603322,0.00024449418,0.000037962574,0.00006559639,0.00004259653,0.000003155277,0.0006705318],"genre_scores_gemma":[0.99962527,0.000046609297,0.00022706823,0.00008428309,0.0000068374616,4.0651774e-8,0.000008427947,7.886569e-7,7.082016e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884236,0.00013066536,0.00016570013,0.00020740532,0.00042083405,0.0002330458],"domain_scores_gemma":[0.9992579,0.00038691974,0.00006413992,0.00018667577,0.00004144489,0.00006290863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062480406,0.000094380724,0.00017997174,0.0002909807,0.00016594095,0.000044472967,0.00026719717,0.000035067693,0.000094117226],"category_scores_gemma":[0.00038990017,0.000037346534,0.0000775757,0.0039379597,0.00050881604,0.000089904526,0.000007492088,0.00015915206,2.2122403e-7],"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":[0.00002037122,0.00001309198,0.975532,0.000002902865,0.000018254766,0.0000011927456,0.00072952075,0.022077534,0.00015648466,0.00077949214,0.0000017908609,0.0006673514],"study_design_scores_gemma":[0.000059671285,0.00006019569,0.65454626,0.00000548564,0.000020669357,0.000002034936,0.00049961574,0.34127557,0.000029906305,0.0034562754,0.0000019575918,0.000042374715],"about_ca_topic_score_codex":0.0040019937,"about_ca_topic_score_gemma":0.0071328403,"teacher_disagreement_score":0.32098576,"about_ca_system_score_codex":0.0000010154484,"about_ca_system_score_gemma":0.000024754228,"threshold_uncertainty_score":0.6049844},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066876872,0.00009811144,3.3848298e-7,0.0002402108,0.0000044911103,0.00007767287,0.000024678664,0.00010491507,0.9927619],"genre_scores_gemma":[0.0017973343,8.938734e-7,0.00015697429,0.0001018232,0.0001878022,7.10508e-8,0.00008493536,0.000004703124,0.99766546],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991598,0.000044739663,0.0001272443,0.00020872027,0.00016985537,0.00028962357],"domain_scores_gemma":[0.9995032,0.000054239517,0.000017300255,0.00021239265,0.000016582322,0.00019630966],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012481374,0.00011693634,0.00013230031,0.00004855445,0.00011811897,0.00007029095,0.0001479626,0.000055250428,0.9986055],"category_scores_gemma":[0.00001732782,0.00009103721,0.000048230977,0.00016625767,0.000026208323,0.0000834114,0.0000039273386,0.000093112445,0.99824995],"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":[0.000042392545,0.0000061734295,0.000004699315,0.0000017774064,0.0000058170863,0.000010584777,0.000017604167,0.00082319224,7.761451e-7,3.719929e-8,0.13702807,0.8620589],"study_design_scores_gemma":[0.00012326882,0.00011882213,0.0019474429,0.0000102606655,0.000008298387,0.00002122902,0.0000013252327,0.0035149616,0.0000107428095,0.0000089278365,0.9940811,0.00015366831],"about_ca_topic_score_codex":0.0008255062,"about_ca_topic_score_gemma":0.000020736401,"teacher_disagreement_score":0.8619052,"about_ca_system_score_codex":0.0000021465717,"about_ca_system_score_gemma":0.000019158499,"threshold_uncertainty_score":0.37123898},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597424,0.000032923523,0.00012095605,0.000049402068,0.000193246,0.0006136554,0.00003418892,0.0000033920435,0.0029780169],"genre_scores_gemma":[0.9987137,0.000047260044,0.0010891425,0.00008106098,0.000021192373,0.0000017764742,0.000020454294,0.0000017125765,0.00002370862],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99907476,0.00018660445,0.00026532178,0.00013203532,0.00023549948,0.00010575826],"domain_scores_gemma":[0.9994863,0.00009415385,0.00015747712,0.00018433612,0.000053700947,0.000023982646],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027535632,0.00007112913,0.00021917396,0.000026629297,0.00003592732,0.00006806258,0.00016973367,0.000048611168,0.0010777559],"category_scores_gemma":[0.000046751065,0.000038102702,0.000011442762,0.00008508297,0.000013289356,0.000085915424,0.000021399914,0.00002861328,0.000008515514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025045988,0.00052797113,0.010289337,0.0010511269,0.00018373539,0.0000053890813,0.012596435,0.0007278962,0.3241415,0.34746754,0.020999009,0.27950546],"study_design_scores_gemma":[0.005492785,0.00062914984,0.5462942,0.00017575105,0.00023570734,0.000007896069,0.0071876603,0.008889791,0.10367496,0.3232096,0.003357464,0.0008449893],"about_ca_topic_score_codex":0.028867891,"about_ca_topic_score_gemma":0.013874469,"teacher_disagreement_score":0.5360049,"about_ca_system_score_codex":0.0000016226692,"about_ca_system_score_gemma":0.0000371186,"threshold_uncertainty_score":0.9998354},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99819326,0.00004034933,0.000074149975,0.00014049943,0.00028667582,0.0002868109,0.0005854386,0.000010124373,0.0003827029],"genre_scores_gemma":[0.99904525,0.000055494234,0.00051622436,0.00017671335,0.00008271588,0.0000018004185,0.00010254477,0.0000037761538,0.000015504269],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999301,0.00003682273,0.00019347653,0.00018281232,0.00013758855,0.00014826357],"domain_scores_gemma":[0.9996982,0.000044689612,0.0000839679,0.00008852479,0.000013470999,0.00007114373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019624292,0.00011602922,0.00018591639,0.000023175482,0.00012735199,0.00010388265,0.000056304627,0.000057965342,0.00043197174],"category_scores_gemma":[0.0000048921156,0.00007257674,0.000013307665,0.000023605813,0.00004751624,0.000058970956,0.000017971624,0.000040629293,0.0000032235182],"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":[0.0001447417,0.00003682661,0.00021588453,0.00026016173,0.00008634062,0.000001557342,0.0010853169,0.0000056726158,0.8536074,0.09524213,0.0001935673,0.049120355],"study_design_scores_gemma":[0.00065103144,0.00010869495,0.055949885,0.000029190285,0.00003277035,0.00006251117,0.00008789964,0.0010354044,0.08673305,0.854981,0.00011597143,0.00021256684],"about_ca_topic_score_codex":0.00058791967,"about_ca_topic_score_gemma":0.00006586711,"teacher_disagreement_score":0.7668744,"about_ca_system_score_codex":0.0000011632711,"about_ca_system_score_gemma":0.000013778322,"threshold_uncertainty_score":0.47297874},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923802,0.0063530905,0.0003124613,0.000053650107,0.00027620277,0.00019752937,0.0000074096947,0.000039738257,0.0003796879],"genre_scores_gemma":[0.97468555,0.00017347361,0.02487371,0.000048819318,0.00015998968,1.353746e-7,0.000013243786,0.0000064474316,0.000038635495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991505,0.00005119964,0.00014174276,0.0002466446,0.00009561868,0.00031429043],"domain_scores_gemma":[0.99954474,0.00022575582,0.00005196818,0.00008194808,0.000016296162,0.00007928388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033472845,0.00012585158,0.00016510565,0.00010630343,0.00015521434,0.00016710658,0.000031033753,0.00007153318,0.0000034769198],"category_scores_gemma":[0.00007670826,0.00010503257,0.00001646804,0.000099770885,0.000040678067,0.00021138033,0.0000073304163,0.00012297103,0.00000215998],"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":[0.000019877773,0.0000011400617,0.7439858,0.000034839304,0.000005267865,0.000032788856,0.00074918754,0.000061007,0.0000016402096,9.242531e-7,0.000004825715,0.25510272],"study_design_scores_gemma":[0.0006347249,0.000049693346,0.90039647,0.0004988066,0.000010245531,0.00011107677,0.00015328261,0.090696365,0.00005749582,0.00017929627,0.006984027,0.00022854225],"about_ca_topic_score_codex":0.00047794165,"about_ca_topic_score_gemma":0.000057160378,"teacher_disagreement_score":0.2548742,"about_ca_system_score_codex":0.0000030039366,"about_ca_system_score_gemma":0.000007646354,"threshold_uncertainty_score":0.4283104},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904656,0.00013012312,0.00047208558,0.000016417102,0.00009112327,0.00017942797,0.00004465153,0.0000023660707,0.000017240385],"genre_scores_gemma":[0.9989542,0.000078897756,0.0007610186,0.00007471457,0.00011077418,2.991397e-8,0.000014672389,0.0000018767353,0.000003858974],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936205,0.000021150776,0.00032608488,0.000051270334,0.00012286972,0.000116567244],"domain_scores_gemma":[0.9995749,0.000026029098,0.00023587156,0.00009782618,0.0000032071225,0.00006216409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002679001,0.000081117476,0.00013807764,0.00009247834,0.000086480904,0.00006419071,0.00006338629,0.00003789159,0.0000059827194],"category_scores_gemma":[0.000009883114,0.000060411534,0.000022306349,0.000043595854,0.000014738703,0.00082154025,0.000009873339,0.0001094479,0.0000014156253],"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":[0.00022241265,0.0001440513,0.63688207,0.000038641756,0.000033281987,0.0009280206,0.020620136,0.008261648,0.000033327346,4.200417e-8,0.0000074227783,0.33282894],"study_design_scores_gemma":[0.0016007808,0.0010257461,0.44891152,0.00007176482,0.00006267918,0.008114404,0.008192192,0.53167003,0.000013769942,0.000018024317,0.00016930244,0.00014980733],"about_ca_topic_score_codex":0.00041672334,"about_ca_topic_score_gemma":0.0005316466,"teacher_disagreement_score":0.52340835,"about_ca_system_score_codex":0.000011306652,"about_ca_system_score_gemma":0.00000508602,"threshold_uncertainty_score":0.24635108},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980979,0.00016468734,0.0007214703,0.000033473985,0.00037038926,0.00008142232,0.000011220634,0.000011405778,0.00050801126],"genre_scores_gemma":[0.9989735,0.00024641556,0.000559353,0.00003481332,0.00014942896,2.3920137e-7,0.000008967433,0.0000022769102,0.000024989557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995386,0.000027194637,0.0001225725,0.000082080864,0.0000726787,0.00015687247],"domain_scores_gemma":[0.9997844,0.00004302561,0.00005914077,0.000059727685,0.00000838718,0.000045283443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036739206,0.000060877344,0.00009867726,0.000015896318,0.00014932796,0.000065856366,0.000028625818,0.000042797055,0.000027404474],"category_scores_gemma":[0.0000050558374,0.000037434234,0.00000809184,0.000025833304,0.00000899366,0.00004594156,0.000007023261,0.000026399879,0.0000043763707],"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":[0.0011884561,0.00007000595,0.006803783,0.00032813166,0.00021245149,0.0000025786362,0.006435794,0.00013117888,0.40523088,0.375809,0.0019518528,0.20183587],"study_design_scores_gemma":[0.0037466206,0.00075386296,0.17762817,0.00018456457,0.0005973566,0.00024526802,0.004331135,0.026147323,0.47873762,0.27513415,0.030675024,0.0018189006],"about_ca_topic_score_codex":0.00074796815,"about_ca_topic_score_gemma":0.00024100537,"teacher_disagreement_score":0.20001698,"about_ca_system_score_codex":6.0875635e-7,"about_ca_system_score_gemma":0.0000043117075,"threshold_uncertainty_score":0.15265238},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49614134,0.000005583167,0.48612183,0.00076316367,0.00072192436,0.00028803584,0.000023166598,0.000046668636,0.015888294],"genre_scores_gemma":[0.93903047,0.000009948974,0.06014904,0.00065441924,0.00007972101,1.6552521e-8,0.000050948493,0.0000011980765,0.000024259905],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895394,0.00003109982,0.00026512437,0.0001358678,0.00043150957,0.00018245836],"domain_scores_gemma":[0.9992045,0.00016419773,0.00018759741,0.00016940064,0.0001497203,0.0001245591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064229633,0.00009866305,0.00011590884,0.00019346917,0.00022942385,0.00023224777,0.000105182764,0.000063590385,0.00030959307],"category_scores_gemma":[0.00035748666,0.000076165685,0.000028531496,0.0003105389,0.0001818606,0.0014841878,0.000008801691,0.0001683901,0.000046134475],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013096677,0.0000012370374,0.00041178695,0.000010871737,9.069033e-7,6.0453556e-7,0.00054816,0.0003678269,0.008456125,0.0000028716051,0.00019231836,0.98987633],"study_design_scores_gemma":[0.0010123416,0.00013997719,0.04204837,0.000032502834,0.0000064863652,0.000010826725,0.0001584419,0.9413589,0.01421504,0.00009322982,0.00079997594,0.00012388006],"about_ca_topic_score_codex":0.0082845995,"about_ca_topic_score_gemma":0.0013601461,"teacher_disagreement_score":0.9897525,"about_ca_system_score_codex":0.0000036604736,"about_ca_system_score_gemma":0.00013581237,"threshold_uncertainty_score":0.9983193},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99182004,0.000094276074,0.000029608835,0.0030589167,0.00043428288,0.0004667619,0.000033245924,0.00006283756,0.004000006],"genre_scores_gemma":[0.98404247,0.00025365665,0.01400836,0.000299495,0.0008003043,0.000008313411,0.0000661257,0.000026883705,0.00049437175],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982334,3.170326e-8,0.00053383905,0.00026037256,0.00064640003,0.00032598534],"domain_scores_gemma":[0.9984391,0.00040309987,0.00034571232,0.000054230903,0.0006360146,0.00012185606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001219743,0.00020147472,0.0002086734,0.000066023465,0.0002646853,0.00015320879,0.00043354998,0.00015545494,0.000008988226],"category_scores_gemma":[0.0008258942,0.00013270241,0.00029293395,0.0003055324,0.00017298509,0.00033455508,0.000016737084,0.00028241915,0.0000041167814],"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":[0.006524095,0.0004135809,0.008100064,0.0005301589,0.001520123,6.877105e-7,0.0013457662,0.0018965972,0.46424675,0.39011005,0.0767797,0.04853241],"study_design_scores_gemma":[0.026634507,0.004933612,0.08020394,0.0011807529,0.00081229466,0.00005339511,0.008999149,0.23712991,0.3311945,0.013944312,0.29260114,0.0023125028],"about_ca_topic_score_codex":0.00007916065,"about_ca_topic_score_gemma":0.000006836429,"teacher_disagreement_score":0.37616575,"about_ca_system_score_codex":0.00004478513,"about_ca_system_score_gemma":0.000027103495,"threshold_uncertainty_score":0.5411447},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9411643,0.000047073867,0.000037428774,0.00020809352,0.00011549292,0.000084408086,0.000019697865,0.000012380436,0.05831113],"genre_scores_gemma":[0.9994689,0.000051384948,0.00013987541,0.0001242431,0.000035240053,4.2656996e-8,0.000007814459,0.0000012655892,0.00017119676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993135,0.0001949654,0.00011829181,0.000092966475,0.00011203031,0.00016825563],"domain_scores_gemma":[0.9993664,0.00035065538,0.000053013897,0.00018871426,0.000011411313,0.00002981629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062011986,0.00006679057,0.000078855155,0.000014428065,0.0001594821,0.000015682981,0.0001325854,0.000034831963,0.00040016285],"category_scores_gemma":[0.00006687211,0.000025319667,0.000031372267,0.00015633686,0.000058523765,0.000020663194,0.0000034779332,0.00014919587,0.00002782486],"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":[0.000095073374,0.000011637611,0.9842763,0.0000012629648,0.0000054965667,0.0000018625168,0.00040105236,0.0032222616,2.3783716e-7,0.00004564619,0.001283762,0.010655394],"study_design_scores_gemma":[0.0001380122,0.000052263993,0.85863465,0.000011232869,0.0000028621093,4.7198586e-7,0.0000365165,0.13912588,0.000052225605,0.0010617503,0.00084237196,0.000041772684],"about_ca_topic_score_codex":0.039309982,"about_ca_topic_score_gemma":0.045465954,"teacher_disagreement_score":0.13590363,"about_ca_system_score_codex":7.9340805e-7,"about_ca_system_score_gemma":0.000015748255,"threshold_uncertainty_score":0.9719518},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985459,0.00022139726,0.000114925635,0.000115993746,0.00005967053,0.000089271365,0.0000037693978,0.0000015832113,0.000847488],"genre_scores_gemma":[0.99893653,0.00010570111,0.0006450101,0.000026909509,0.00005308698,2.1230367e-8,0.0000143061325,0.0000016256419,0.00021681504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938405,0.000036925387,0.00023793124,0.00008078915,0.00018455545,0.00007574734],"domain_scores_gemma":[0.9997278,0.000015169066,0.00017380403,0.00006052555,0.0000021291926,0.000020564314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023492354,0.00005886029,0.00010810339,0.000074024654,0.000022015427,0.000012802049,0.00004034336,0.000018015671,0.000025527333],"category_scores_gemma":[0.000001931352,0.00004688411,0.000020582369,0.00004605417,0.000028040846,0.00020592444,0.000008387585,0.000056656838,0.0000016709585],"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":[0.000046533216,0.000049936658,0.739355,0.000022776592,0.0000070063024,0.000012822533,0.000050072977,0.18936315,0.00014473505,0.0000011705419,0.000011875362,0.0709349],"study_design_scores_gemma":[0.00034152385,0.000096324635,0.9900241,0.000024881281,0.000013282178,0.0000069237603,0.000042597978,0.0083393175,0.00003479311,0.00021465587,0.0008138848,0.000047743513],"about_ca_topic_score_codex":0.00024576866,"about_ca_topic_score_gemma":0.00017097365,"teacher_disagreement_score":0.25066906,"about_ca_system_score_codex":0.00001449338,"about_ca_system_score_gemma":0.000002102958,"threshold_uncertainty_score":0.19118786},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983305,0.00014964893,0.000044205764,0.00028285172,0.000077073244,0.00007188747,0.0000045047495,0.000009607409,0.016055236],"genre_scores_gemma":[0.99873537,0.00003112612,0.00082056934,0.00017309232,0.000030524472,0.0000029235803,0.000015554626,0.000001541725,0.00018931244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995676,0.00001186109,0.000086409855,0.00012682781,0.000032385193,0.00017489048],"domain_scores_gemma":[0.9997632,0.00003178208,0.000020063791,0.00007754096,0.000011258357,0.000096159194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001049083,0.000057662986,0.0000641918,0.000032604916,0.00012709414,0.000016631786,0.00008185971,0.000030510078,0.000020112915],"category_scores_gemma":[0.00002787892,0.000036037334,0.00000971122,0.00007958351,0.000043923734,0.000034304026,0.0000030010115,0.000033836903,8.6779977e-7],"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":[0.00006728706,0.000008270336,0.73240435,0.000011112562,0.000008594705,0.000002657335,0.021981398,0.00015038643,0.000002599084,0.001793581,0.000082280494,0.24348746],"study_design_scores_gemma":[0.00023181026,0.00000957769,0.98884135,0.0000069771777,0.0000016315156,0.000005508858,0.00011289845,0.004202715,0.00014737317,0.001377743,0.004985667,0.000076725024],"about_ca_topic_score_codex":0.3989103,"about_ca_topic_score_gemma":0.8601057,"teacher_disagreement_score":0.46119538,"about_ca_system_score_codex":0.0000059438457,"about_ca_system_score_gemma":0.0001349207,"threshold_uncertainty_score":0.6050924},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975884,0.00008036941,0.000047283804,0.0007009878,0.0004827585,0.0006123833,0.0000510828,0.00001043205,0.00042633383],"genre_scores_gemma":[0.99816966,0.00019685311,0.0010953997,0.000026611513,0.000088341956,0.0000028890447,0.000030357627,0.0000027289466,0.0003871347],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991374,0.00020344256,0.00015487892,0.00010852067,0.00021950743,0.00017623951],"domain_scores_gemma":[0.99886495,0.0006655694,0.0000613812,0.00023028486,0.00015200434,0.00002580343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005936778,0.000050078874,0.0000845344,0.000032724693,0.0002708811,0.00011759795,0.00014463981,0.000037478167,0.00034657502],"category_scores_gemma":[0.0003753385,0.00002292347,0.000022970915,0.00013094571,0.00015116615,0.00025899147,0.000012471947,0.000063892185,0.000038163045],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044142778,0.000018846338,0.096961774,0.00016454789,0.000040290615,7.708527e-7,0.00031815196,0.002604149,0.17227162,0.00019110664,0.0034992588,0.72348803],"study_design_scores_gemma":[0.0005160366,0.00013116922,0.872978,0.00008227935,0.0000074299314,0.000012555825,0.00035322743,0.0029368713,0.10727556,0.005740906,0.009855292,0.00011068807],"about_ca_topic_score_codex":0.0071942047,"about_ca_topic_score_gemma":0.00053903915,"teacher_disagreement_score":0.77601624,"about_ca_system_score_codex":0.0000025282948,"about_ca_system_score_gemma":0.000037804723,"threshold_uncertainty_score":0.99941695},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5048523,0.0007114488,0.00009193316,0.007379049,0.00045543085,0.00029778588,0.00005755717,0.000083808816,0.4860707],"genre_scores_gemma":[0.8471382,0.00017971455,0.000022274444,0.00047820862,0.00013498394,2.5347477e-8,0.000042351858,0.0000073759707,0.15199684],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989031,0.00018870652,0.00010737336,0.00020774035,0.0001507692,0.00044230267],"domain_scores_gemma":[0.9990442,0.00016158799,0.000059824026,0.000469363,0.00006827372,0.00019675886],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003133307,0.00016547211,0.0001263174,0.00012401814,0.0020533842,0.00008642845,0.00066695473,0.000059991937,0.00050708605],"category_scores_gemma":[0.000026638083,0.00008033932,0.00008882933,0.0005916183,0.00026565112,0.00009275951,0.000037826387,0.00027226846,0.0018873768],"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":[0.000948966,0.0001686323,0.029753279,0.00006898261,0.0008675465,0.0008551711,0.11256416,0.14354481,0.00026776013,0.005769745,0.055127762,0.65006316],"study_design_scores_gemma":[0.00038935037,0.00004354475,0.026882362,0.000013386749,0.000045854358,0.000025454652,0.00048414632,0.00109674,0.00010641412,0.00048774036,0.97026545,0.00015953905],"about_ca_topic_score_codex":0.11421801,"about_ca_topic_score_gemma":0.92073756,"teacher_disagreement_score":0.9151377,"about_ca_system_score_codex":0.00008223745,"about_ca_system_score_gemma":0.00032030957,"threshold_uncertainty_score":0.9992458},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971343,0.0004406783,0.00017175615,0.0001280355,0.000038854283,0.000066884655,0.000112229274,0.0000033088456,0.0019038958],"genre_scores_gemma":[0.99947006,0.00006734795,0.00029935213,0.00009494635,0.000011925353,3.263504e-8,0.000044557073,0.0000017125021,0.000010098766],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913883,0.00018848701,0.00016686133,0.00013472767,0.00020115358,0.00016994664],"domain_scores_gemma":[0.9993937,0.00031356074,0.000075816584,0.00016158246,0.000023821452,0.00003152195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002282349,0.00009219552,0.00019711458,0.00012302355,0.00006713251,0.00002378577,0.000109853114,0.000045265268,0.00025730938],"category_scores_gemma":[0.00010449351,0.000043448745,0.00006802902,0.0005421468,0.000056715984,0.000047087764,0.0000029137086,0.00013109589,9.090449e-7],"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":[0.00016907783,0.000044000655,0.7788417,0.000023107348,0.00033790234,0.000010894785,0.01570043,0.19800325,0.0002624187,0.0015659066,0.00023157499,0.004809786],"study_design_scores_gemma":[0.00025442016,0.0001853523,0.28115833,0.000022676488,0.00016319462,0.00000540642,0.012690288,0.7038628,0.00044165505,0.0010127507,0.00008253981,0.0001205929],"about_ca_topic_score_codex":0.01059238,"about_ca_topic_score_gemma":0.02063374,"teacher_disagreement_score":0.50585955,"about_ca_system_score_codex":0.000001603971,"about_ca_system_score_gemma":0.00001688855,"threshold_uncertainty_score":0.99723715},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962341,0.00030483282,0.0030804728,0.000038402366,0.00015684168,0.000069231544,0.000020217083,0.0000051616175,0.00009072783],"genre_scores_gemma":[0.99694324,0.000012938232,0.0028152307,0.000008062866,0.00006927203,9.326275e-8,0.00011904462,0.0000018400277,0.000030258958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992012,0.000025897389,0.00040670662,0.000054968015,0.00022430583,0.000086926884],"domain_scores_gemma":[0.9984287,0.00038883285,0.00060326915,0.000024497333,0.00053390244,0.00002080317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005437796,0.00006054925,0.00011817214,0.0002087624,0.000085616106,0.000090144225,0.00009626484,0.000028753111,0.0000049773116],"category_scores_gemma":[0.00009100611,0.000040652423,0.000028946939,0.000108805136,0.000053416337,0.0002728259,0.0000053670847,0.00004853733,1.03782234e-7],"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":[0.0005747,0.00002335534,0.9342074,0.00015637967,0.0003388819,0.000056217712,0.041627016,0.006508427,0.00052821665,0.0003967984,0.00019491417,0.015387737],"study_design_scores_gemma":[0.00044863654,0.00006278938,0.90867615,0.00017210316,0.000029020572,0.000038630467,0.053217374,0.03455587,0.0012141692,0.0009646149,0.0005277233,0.00009290742],"about_ca_topic_score_codex":0.00028916146,"about_ca_topic_score_gemma":0.000009023036,"teacher_disagreement_score":0.028047442,"about_ca_system_score_codex":0.0000059035915,"about_ca_system_score_gemma":0.00010730753,"threshold_uncertainty_score":0.16577578},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95317626,0.0013753297,0.040288534,0.0013382306,0.0006343494,0.0008730643,0.00008277946,0.00005202186,0.0021794036],"genre_scores_gemma":[0.99807537,0.000041381554,0.0004652193,0.0005593807,0.000460416,0.000002868678,0.00013905797,0.000006251313,0.00025008366],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851245,0.00015839897,0.00046985975,0.0003096756,0.00020287445,0.00034671638],"domain_scores_gemma":[0.9988308,0.0005621423,0.00010423921,0.00020584092,0.000058336504,0.00023863072],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003119973,0.00018008226,0.00037636704,0.00013635348,0.00013416076,0.00026323574,0.00013311577,0.0001048499,0.0008270615],"category_scores_gemma":[0.00010619342,0.00013646991,0.00005486579,0.0001420646,0.00002924735,0.0002043046,0.000009911855,0.000140517,0.00086482003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032600935,0.00022013008,0.36444396,0.00014553781,0.00033499513,0.000091338654,0.0108463485,0.044761024,0.029783402,0.00012829332,0.011229487,0.53768945],"study_design_scores_gemma":[0.00052704633,0.00014276191,0.118792854,0.00015103418,0.000015485954,0.0000073975248,0.0014764224,0.8583941,0.00008285506,0.00051873125,0.019580878,0.00031043138],"about_ca_topic_score_codex":0.102542706,"about_ca_topic_score_gemma":0.0046843775,"teacher_disagreement_score":0.8136331,"about_ca_system_score_codex":0.000008687646,"about_ca_system_score_gemma":0.000017242519,"threshold_uncertainty_score":0.9999131},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926145,0.000034492277,0.004405688,0.0018960304,0.000034575023,0.00011881114,0.00011940473,0.000057139776,0.00071933476],"genre_scores_gemma":[0.9929392,0.00004796186,0.00041252468,0.0053808005,0.00008010251,8.906055e-7,0.0010996272,0.0000037048153,0.000035213365],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992034,0.00006273444,0.00014625976,0.00026229522,0.00014669259,0.00017864474],"domain_scores_gemma":[0.9996921,0.000048017548,0.000048508773,0.000102270926,0.000019291338,0.000089852205],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00010712703,0.00010827645,0.00012392351,0.0001401371,0.00010356781,0.00007180968,0.00005424678,0.000036226636,0.006418855],"category_scores_gemma":[0.000003201842,0.00009444381,0.000063906125,0.0002554286,0.000025133133,0.0001243069,0.0000015197563,0.00007539811,0.0012217074],"study_design_candidate":"design_other","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":[0.000014792654,0.0000083795985,0.07888161,0.000010133101,0.00004509915,0.0000071226355,0.000042936783,0.0002521361,0.0008238707,9.991439e-9,0.00007944683,0.9198345],"study_design_scores_gemma":[0.0004098953,0.000030730618,0.6694673,0.0000144105015,0.00020417625,0.000006728479,0.000012241979,0.32627255,0.0012527306,0.000010881426,0.0020747057,0.00024366862],"about_ca_topic_score_codex":0.00083311787,"about_ca_topic_score_gemma":0.00037548423,"teacher_disagreement_score":0.9195908,"about_ca_system_score_codex":0.0000028676482,"about_ca_system_score_gemma":0.0000038964777,"threshold_uncertainty_score":0.99955595},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99470633,0.00012009472,0.00024072752,0.0010859612,0.00009729981,0.00041615247,0.000012855444,0.000028311113,0.003292251],"genre_scores_gemma":[0.9995216,0.000011802442,0.00013957235,0.00006353216,0.000058626807,0.0000022578217,0.0000419729,0.0000032306598,0.00015741879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999042,0.00012712617,0.00017500277,0.00020298205,0.0001004392,0.00035244963],"domain_scores_gemma":[0.9994275,0.00018005916,0.00004880868,0.00025627168,0.000028957178,0.00005842823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006276017,0.000098145785,0.00011145987,0.000025149315,0.00021091173,0.000041699324,0.0001541579,0.000072908864,0.0001354984],"category_scores_gemma":[0.00023358286,0.000058425114,0.000053557673,0.00015426902,0.00011454191,0.00008359885,0.0000045708057,0.00013976276,0.000022587883],"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":[0.00006737099,0.00004983064,0.96280974,0.000019902824,0.0000040575355,0.0000032260589,0.00015256889,0.019109454,0.0000028475476,0.0030078823,0.0001999841,0.014573129],"study_design_scores_gemma":[0.00038527447,0.00011617608,0.8835683,0.0000036534284,0.000004364413,0.000010091904,0.00028816581,0.08994591,0.000010082983,0.021371432,0.0042153276,0.00008122993],"about_ca_topic_score_codex":0.001455365,"about_ca_topic_score_gemma":0.017046103,"teacher_disagreement_score":0.079241455,"about_ca_system_score_codex":0.000042001368,"about_ca_system_score_gemma":0.0001537495,"threshold_uncertainty_score":0.9512125},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983354,0.0009940215,0.00007910423,0.00001531902,0.0002476426,0.00010689774,0.000157737,0.000012410232,0.000051446386],"genre_scores_gemma":[0.99125654,0.00066160253,0.0076217493,0.0000017352376,0.00017044813,3.803078e-7,0.00017698118,0.000006745938,0.00010380816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895716,0.000075179916,0.00027450142,0.00025420025,0.00021843171,0.00022054324],"domain_scores_gemma":[0.9993883,0.00018039512,0.00014338063,0.00018230194,0.000007763558,0.00009787528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002747757,0.00017070909,0.00037356393,0.00008039334,0.00012426604,0.000040408668,0.000092626746,0.00006935795,0.000011402611],"category_scores_gemma":[0.0000071872464,0.00013287674,0.00011569432,0.00010247981,0.000074200296,0.000097459095,0.000021033162,0.00011770375,7.450252e-7],"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":[0.000032908745,0.000042534106,0.9578842,0.000033087268,0.00019086398,0.0000011488668,0.00027112992,0.010005617,0.021049473,3.2371238e-7,8.3404393e-7,0.010487875],"study_design_scores_gemma":[0.00047655427,0.00017405437,0.94663745,0.000049090668,0.00023322635,9.406814e-7,0.00081486633,0.025597256,0.025748434,0.0000038506337,0.0001152745,0.00014902784],"about_ca_topic_score_codex":0.00070058147,"about_ca_topic_score_gemma":0.000050787698,"teacher_disagreement_score":0.01559164,"about_ca_system_score_codex":0.000007840482,"about_ca_system_score_gemma":0.0000063438365,"threshold_uncertainty_score":0.54185563},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982918,0.00020624806,0.000023476161,0.00029364848,0.00035973013,0.000029979628,9.982198e-7,0.0000020504626,0.0007921079],"genre_scores_gemma":[0.9987517,0.000051524392,0.0008597581,0.00023133289,0.00010215819,1.879863e-8,0.0000013865292,9.4145213e-7,0.0000011569688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948144,0.000071464485,0.00018700662,0.000065194065,0.000084694744,0.00011020874],"domain_scores_gemma":[0.9995329,0.00017020295,0.00016295243,0.00005092758,0.000035600355,0.00004746186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040294346,0.00005466546,0.00014802518,0.0003562855,0.000035771267,0.0000061214123,0.00004649988,0.000073735704,0.00005553565],"category_scores_gemma":[0.000046263765,0.00003900733,0.00005746657,0.00013960875,0.00009073784,0.000069859416,0.0000015915285,0.00024270712,0.0000011556622],"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":[0.00008913441,0.000011018378,0.8236404,0.000007755835,0.000004311932,0.000016694583,0.0002147365,0.00026046686,0.00005499446,0.0000034490386,0.0000014891215,0.17569555],"study_design_scores_gemma":[0.0004737154,0.00043985696,0.99008197,0.00003056971,0.000008284288,0.000046650614,0.000026341446,0.0080990335,0.0000741396,0.0004511126,0.00022608774,0.0000422649],"about_ca_topic_score_codex":0.0015653117,"about_ca_topic_score_gemma":0.0040497547,"teacher_disagreement_score":0.17565328,"about_ca_system_score_codex":2.9329257e-7,"about_ca_system_score_gemma":0.000008412294,"threshold_uncertainty_score":0.23662934},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99225366,0.0000056158037,0.00040729428,0.000095955744,0.00022431427,0.00016725004,0.000005148993,0.000019341622,0.006821428],"genre_scores_gemma":[0.9954782,3.288764e-7,0.004274579,0.0001046409,0.00011906215,1.708644e-7,0.0000035600324,0.0000018354255,0.000017586295],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99858886,0.00026843685,0.00015927073,0.00020143765,0.0004968673,0.0002851112],"domain_scores_gemma":[0.999326,0.00019115653,0.000111020316,0.00015331423,0.000100505575,0.00011800081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018224681,0.00007833545,0.00012154437,0.00009654598,0.00046411125,0.00007198188,0.00012029916,0.00003098945,0.000054650332],"category_scores_gemma":[0.00037023198,0.000058157468,0.000029734438,0.0005554492,0.0001262096,0.00028941152,0.0000070064825,0.00009327446,0.000016251961],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034328186,0.00011727929,0.35004318,0.0000031674924,0.000004167105,0.000028188246,0.00960216,0.00022539498,0.000278672,0.00002936748,0.000019086907,0.639615],"study_design_scores_gemma":[0.0003467367,0.00034983718,0.9406122,0.000007504591,0.000021762155,0.00005262379,0.009112922,0.04916277,0.00012384942,0.000022123231,0.000080367754,0.00010730001],"about_ca_topic_score_codex":0.007466492,"about_ca_topic_score_gemma":0.0007171951,"teacher_disagreement_score":0.6395077,"about_ca_system_score_codex":0.000009474547,"about_ca_system_score_gemma":0.00006505296,"threshold_uncertainty_score":0.9991429},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829346,0.00007274338,0.01346238,0.000027076332,0.0005646623,0.00009309052,0.000002755967,0.00009984595,0.00274287],"genre_scores_gemma":[0.99431837,0.000005616246,0.005396612,0.00008382246,0.00013560426,6.272795e-8,0.000014710635,0.0000038018075,0.0000413995],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895823,0.00019761114,0.00021396253,0.0002218531,0.0001531554,0.0002551869],"domain_scores_gemma":[0.99953884,0.00016137361,0.000065323846,0.00014535099,0.000023870502,0.00006523325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005519524,0.00010641467,0.0001524309,0.00016526839,0.00013339096,0.00008409443,0.00005743595,0.000082122584,0.00003184562],"category_scores_gemma":[0.000034453118,0.00008413544,0.00003780786,0.00022305475,0.000025121704,0.00015214324,0.000003568148,0.00010248243,0.000050564515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005251276,0.00002790032,0.16678084,0.00025204007,0.000017901728,0.00005475209,0.0001152236,0.26121786,0.013075279,0.000099575045,0.000029604862,0.5578039],"study_design_scores_gemma":[0.00028471326,0.000061214596,0.16786377,0.00008826164,0.000007863605,0.00001437717,0.000055458597,0.82769907,0.0032118033,0.000020261064,0.0005730126,0.000120185454],"about_ca_topic_score_codex":0.014237297,"about_ca_topic_score_gemma":0.0053604464,"teacher_disagreement_score":0.56648123,"about_ca_system_score_codex":0.000024718554,"about_ca_system_score_gemma":0.00002351246,"threshold_uncertainty_score":0.992327},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9435213,0.018539472,0.0035888988,0.010865714,0.0021416137,0.00013134071,0.00003982759,0.00002203396,0.021149753],"genre_scores_gemma":[0.96725804,0.0056852885,0.024807248,0.00033209453,0.0007373894,2.8083351e-9,0.00002047338,0.000022958966,0.0011365293],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99746335,0.0006048725,0.0006230374,0.00026128368,0.0003057189,0.00074175897],"domain_scores_gemma":[0.9975687,0.00034168977,0.0004904454,0.00024449851,0.00023718966,0.0011174352],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00081245636,0.00030465276,0.00039494957,0.0009936434,0.0006167063,0.0004067008,0.0001813072,0.00034996527,0.0002484054],"category_scores_gemma":[0.00024174189,0.00029313902,0.00032562693,0.001130969,0.00062118017,0.00031745783,0.000002932872,0.00072000886,0.000048389193],"study_design_candidate":"design_other","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":[0.000021984732,0.000009377393,0.021577274,0.00004485635,0.000093506846,0.0012933109,0.0037104413,0.0010172995,0.00020585819,0.000016628952,0.0096921595,0.9623173],"study_design_scores_gemma":[0.001425009,0.00030996362,0.17197748,0.001610181,0.00037925906,0.009952794,0.007815218,0.30411586,0.0002805246,0.0054654405,0.4958497,0.00081859576],"about_ca_topic_score_codex":0.19658683,"about_ca_topic_score_gemma":0.37013406,"teacher_disagreement_score":0.9614987,"about_ca_system_score_codex":0.000055329092,"about_ca_system_score_gemma":0.00054576976,"threshold_uncertainty_score":0.9999521},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729332,0.000110384,0.022429153,0.00023937917,0.0001320142,0.00006550741,4.6876661e-7,0.0000214926,0.0040684547],"genre_scores_gemma":[0.9356691,0.000046583573,0.06329728,0.000043814016,0.000041352647,6.6185297e-9,0.000007159706,0.0000032410153,0.0008914494],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99871355,0.000056752673,0.00047294135,0.00014260823,0.00026981466,0.00034431327],"domain_scores_gemma":[0.99898505,0.000027205193,0.00034429992,0.00014347148,0.00037883176,0.00012113195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045820253,0.00013084985,0.00029021746,0.0008649861,0.00018247197,0.00005317401,0.0001526862,0.000084098174,0.00020802121],"category_scores_gemma":[0.00006317411,0.00009114913,0.00009886384,0.0008012843,0.00004852991,0.00018042703,0.000013892413,0.00020913196,0.000017374265],"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":[0.00037042823,0.000077675606,0.16668965,0.000081789956,0.0013779264,0.0029697858,0.0072035254,0.00060288806,0.0002498369,0.0001135619,0.0005749828,0.81968796],"study_design_scores_gemma":[0.0003199763,0.000103051454,0.96743095,0.00002518479,0.00019115472,0.00019805992,0.008276111,0.016305026,0.0011163516,0.0014889166,0.004342918,0.00020231314],"about_ca_topic_score_codex":0.0002700108,"about_ca_topic_score_gemma":0.00015359801,"teacher_disagreement_score":0.81948566,"about_ca_system_score_codex":0.00004879708,"about_ca_system_score_gemma":0.00018051454,"threshold_uncertainty_score":0.37169534},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934781,0.003720312,0.0000032956584,0.0015540633,0.00013203826,0.000031557363,0.0000026979217,0.0000023650975,0.0010755531],"genre_scores_gemma":[0.9972926,0.0021728873,0.000069820235,0.00037084232,0.000059291306,8.208681e-9,7.56091e-7,7.3345916e-7,0.00003310415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993291,0.00007554776,0.00023318682,0.00008392718,0.00011615101,0.00016211433],"domain_scores_gemma":[0.9994068,0.00020857673,0.00016311277,0.00007305339,0.000058534526,0.00008991584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032273482,0.000079222504,0.0001695555,0.00010728926,0.00013589834,0.000024650606,0.0000826259,0.000056340687,0.00003270041],"category_scores_gemma":[0.000042218493,0.000041729552,0.000061889645,0.00009372002,0.0001159484,0.000084360814,0.0000037532632,0.00016167072,0.0000023168682],"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":[0.0002596731,0.00001505541,0.68960977,0.000005862059,0.00003497185,0.000028939154,0.0002577269,0.00057948177,0.000039565624,0.00007746235,0.00007768072,0.30901378],"study_design_scores_gemma":[0.0002640854,0.0011026199,0.99131614,0.000023925639,0.000015889615,0.00022969174,0.00006660691,0.00050208165,0.000027742308,0.0014050558,0.0049926788,0.00005345686],"about_ca_topic_score_codex":0.000105277155,"about_ca_topic_score_gemma":0.0003458624,"teacher_disagreement_score":0.30896035,"about_ca_system_score_codex":2.4578625e-7,"about_ca_system_score_gemma":0.000010804014,"threshold_uncertainty_score":0.17016818},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908756,0.00057085144,0.0061899377,0.00069441326,0.0000935086,0.000028064842,0.0000034771529,0.0000049947867,0.0015391285],"genre_scores_gemma":[0.99583465,0.00024371967,0.0036448343,0.00019313493,0.00006383028,4.732599e-10,0.000011416482,8.834989e-7,0.000007556007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992288,0.00010603151,0.00027495934,0.00010236893,0.00014817467,0.00013970245],"domain_scores_gemma":[0.9993187,0.00014206347,0.0002670501,0.0000924554,0.00010338503,0.00007635451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032647004,0.00008191095,0.0002742881,0.00046134376,0.00006924736,0.00001931053,0.00005017335,0.00006220209,0.000061865605],"category_scores_gemma":[0.00004083093,0.000056692992,0.00016226256,0.00040839915,0.00006854468,0.00006281329,0.0000017939008,0.00012322073,5.7759075e-7],"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":[0.00027580786,0.000018802417,0.64355606,0.00000843743,0.00016629293,0.00006466659,0.0000731545,0.018823303,0.000060832455,0.0000020417665,0.000046345063,0.3369043],"study_design_scores_gemma":[0.00033520238,0.00047135,0.8582238,0.00002630848,0.00016183581,0.000046581394,0.000023248544,0.13958904,0.00011998953,0.00062853564,0.00031664706,0.00005744723],"about_ca_topic_score_codex":0.0005727918,"about_ca_topic_score_gemma":0.0002761083,"teacher_disagreement_score":0.33684683,"about_ca_system_score_codex":7.0268317e-7,"about_ca_system_score_gemma":0.000013683124,"threshold_uncertainty_score":0.23118731},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3561712,0.000011650453,0.64291257,0.00010594438,0.00043908216,0.00008217292,0.000033210745,0.00006773843,0.00017647837],"genre_scores_gemma":[0.99869454,0.000026585616,0.0011313882,0.000043677694,0.00003617102,1.901382e-7,0.000028506733,0.0000028967997,0.00003607177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992332,0.000026037555,0.00018473144,0.00014554309,0.0002646869,0.00014580289],"domain_scores_gemma":[0.99951375,0.00021692312,0.000029028033,0.00011265941,0.000017954399,0.00010967546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120311124,0.00011189237,0.0001321478,0.00015909778,0.00007474706,0.000009779949,0.00006944058,0.00007636944,0.00020997593],"category_scores_gemma":[0.00001475305,0.00008950037,0.000061827624,0.00028854422,0.000024018884,0.000085688516,9.251527e-8,0.00015110703,0.000042779408],"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":[0.000046211637,0.000021393495,0.000007986186,0.000007887052,0.000006535998,0.0000011981265,0.000044325574,0.83043486,0.0005958498,0.000003787562,0.000007238847,0.16882274],"study_design_scores_gemma":[0.0002498117,0.0007053229,0.00067275215,0.000041497617,0.000015501917,0.0000020266366,0.0000033377637,0.99279875,0.005308439,0.000014119917,0.00009707561,0.000091371505],"about_ca_topic_score_codex":0.00005645539,"about_ca_topic_score_gemma":0.000011639497,"teacher_disagreement_score":0.64252335,"about_ca_system_score_codex":0.000006296515,"about_ca_system_score_gemma":0.000018841109,"threshold_uncertainty_score":0.3649719},"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":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00063813146,0.9988368,0.000051744024,0.00002400507,0.00010840695,0.00021315872,0.000005179035,0.000018632163,0.00010394948],"genre_scores_gemma":[0.0005983044,0.99868494,0.000581087,0.000014934627,0.000036733574,5.7709974e-7,0.00006546222,0.0000056638382,0.000012265151],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917394,0.000056022378,0.00032721602,0.00020231372,0.00006499424,0.00017552281],"domain_scores_gemma":[0.99960256,0.00013037576,0.00010334246,0.00009908431,0.00001286246,0.000051787953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032375875,0.00017265641,0.0007623261,0.00015731358,0.000016204285,0.000009522106,0.000055887802,0.00013925051,0.000013413723],"category_scores_gemma":[0.00013086182,0.00013112827,0.000048899856,0.000160357,0.000032332566,0.00003807165,0.000008713479,0.00021557313,0.0000027651338],"study_design_candidate":"design_other","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":[5.4984264e-7,0.0000018132523,0.0014548891,0.090802096,0.000019645724,0.000010992031,0.000052918265,0.0009942058,1.6523126e-7,0.0000061562887,0.000006192541,0.90665036],"study_design_scores_gemma":[0.0002692227,0.00006863141,0.0069562164,0.28767753,0.00017171669,0.00047745308,0.0000059325334,0.0013444802,4.2880788e-7,0.000050666844,0.7025639,0.00041383214],"about_ca_topic_score_codex":0.0006283861,"about_ca_topic_score_gemma":0.0003279598,"teacher_disagreement_score":0.9062365,"about_ca_system_score_codex":0.0000043514387,"about_ca_system_score_gemma":0.00004134774,"threshold_uncertainty_score":0.53472555},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801988,0.00008307102,0.016437674,0.00008900966,0.00017628509,0.00018483601,0.000031784493,0.000042688403,0.0027558764],"genre_scores_gemma":[0.99774766,0.0000036286094,0.0005950858,0.00017811629,0.00025189455,5.854905e-8,0.000040003724,0.0000028422617,0.0011806872],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991923,0.00004538114,0.00015306838,0.00023575492,0.00015310728,0.0002204189],"domain_scores_gemma":[0.9995877,0.000077251636,0.000043342425,0.00018415882,0.000027600056,0.000079908285],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013366264,0.000108345994,0.00019160958,0.00012808367,0.00015278449,0.000093248746,0.00008366761,0.000039751165,0.003448682],"category_scores_gemma":[0.000014080944,0.00007339819,0.00012571354,0.0002781161,0.000016262406,0.00007699852,0.0000037831703,0.0000630036,0.00006884271],"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":[0.000008071862,0.000035873778,0.8561599,0.0000025549139,0.00012697213,0.000014612404,0.00035005013,0.0024921247,0.000004710796,6.6274374e-8,0.0007704767,0.14003457],"study_design_scores_gemma":[0.00019668863,0.000081473765,0.4267719,0.0000014425844,0.0001901189,0.0000027715244,0.00019386921,0.57173145,0.000007695209,0.0000038525022,0.0007170136,0.000101686855],"about_ca_topic_score_codex":0.019505523,"about_ca_topic_score_gemma":0.019282633,"teacher_disagreement_score":0.5692393,"about_ca_system_score_codex":0.0000018688964,"about_ca_system_score_gemma":0.000004407871,"threshold_uncertainty_score":0.9986129},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6627645,0.000008155688,0.3147922,0.00032014892,0.00013850711,0.00008811874,0.000006781634,0.00002889711,0.021852707],"genre_scores_gemma":[0.9873569,0.000003762633,0.011252081,0.0013528672,0.000016260981,1.2200661e-8,0.000013397898,2.1604387e-7,0.000004511388],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944925,0.0000097614675,0.00015318925,0.00006894823,0.00022284902,0.00009602405],"domain_scores_gemma":[0.9997095,0.000027627933,0.000060455426,0.00009077801,0.00005343223,0.00005821245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035376882,0.000046622656,0.00006087302,0.00016960959,0.000112297676,0.000079443394,0.00008753851,0.000018859575,0.000010281236],"category_scores_gemma":[0.00001916567,0.00003307308,0.000014635684,0.00024377069,0.000066349094,0.0013821131,0.0000026443017,0.000032773183,0.00000977667],"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":[0.000014970887,0.0000029424846,0.0011661327,0.0000024778642,2.514023e-7,7.405617e-8,0.00040208982,0.3512964,0.0000144999085,0.00020479361,0.00007427566,0.6468211],"study_design_scores_gemma":[0.00014855244,0.00010270837,0.2050073,0.00000897273,7.7093904e-7,0.0000013586173,0.0000065645804,0.79420817,0.00008982085,0.00018539521,0.00020307029,0.000037314803],"about_ca_topic_score_codex":0.0000184304,"about_ca_topic_score_gemma":0.0000022429506,"teacher_disagreement_score":0.64678377,"about_ca_system_score_codex":0.0000019336642,"about_ca_system_score_gemma":0.00004584295,"threshold_uncertainty_score":0.1348681},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95118064,0.00011573965,0.0000040702785,0.00014884867,0.00016262638,0.0000379232,0.000005893833,0.000016321903,0.048327956],"genre_scores_gemma":[0.99805874,0.00012091682,0.00044315105,0.000121075806,0.00008748179,3.0478795e-8,0.00004440285,0.0000012097865,0.0011229917],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995946,0.000029537086,0.00010560778,0.00009335016,0.00008100873,0.00009585174],"domain_scores_gemma":[0.9998387,0.000033718123,0.000031501142,0.00005482526,0.0000130525095,0.000028213357],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006662671,0.00005607702,0.000080106816,0.000056267294,0.00002237761,0.000016086326,0.000028970248,0.00004447339,0.010897329],"category_scores_gemma":[0.000017965405,0.000036700636,0.00002701938,0.00010777046,0.000012862127,0.00015497165,9.209798e-7,0.00008066504,0.00011330846],"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":[0.000030572046,0.00002383691,0.26708278,0.000006954226,0.0000031259963,0.000008559844,0.0003017063,0.0000928407,0.00034652383,5.2126643e-7,0.00037490245,0.73172766],"study_design_scores_gemma":[0.00015622821,0.000037188966,0.9551644,0.000009808561,0.0000015647232,0.000025744128,0.000032012395,0.0438366,0.000059214202,0.000064764434,0.00055403565,0.000058487214],"about_ca_topic_score_codex":0.0016033847,"about_ca_topic_score_gemma":0.0030792847,"teacher_disagreement_score":0.7316692,"about_ca_system_score_codex":0.0000012674755,"about_ca_system_score_gemma":0.0000020100879,"threshold_uncertainty_score":0.99000686},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984472,0.000028837778,0.00019101566,0.00023805903,0.0004492708,0.00025907604,0.000008299835,0.0000072579573,0.00037097972],"genre_scores_gemma":[0.99973637,0.000014190137,0.000121399054,0.000012010727,0.000052895433,3.4058775e-7,0.000014536579,0.0000030450449,0.00004519004],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991791,0.00011063958,0.00015747322,0.00021183582,0.00022404378,0.00011690571],"domain_scores_gemma":[0.999533,0.000027249836,0.00011615766,0.0002582062,0.000035439658,0.000029961446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035408387,0.000089893896,0.00011464878,0.000056597022,0.00012342496,0.000026354386,0.00007256857,0.00004496994,0.000005227637],"category_scores_gemma":[0.000039177543,0.000049679857,0.000018722123,0.00007682118,0.00009365837,0.00014313876,0.000008038611,0.00012294255,1.3315179e-7],"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":[0.000021599479,0.00000688701,0.54112583,0.000022894666,0.0000022561562,6.5111365e-8,0.00013627409,0.45691797,0.000048023332,0.000031073232,0.0000015702407,0.0016855559],"study_design_scores_gemma":[0.00008482704,0.000048731647,0.49330613,0.00003520752,0.0000062968097,0.0000030422539,0.000055816236,0.5060945,0.00007870157,0.00025256458,0.0000017797585,0.0000324111],"about_ca_topic_score_codex":0.003013901,"about_ca_topic_score_gemma":0.0160974,"teacher_disagreement_score":0.04917652,"about_ca_system_score_codex":0.000018805475,"about_ca_system_score_gemma":0.000043801756,"threshold_uncertainty_score":0.89827275},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99142116,0.0001927288,0.0024959755,0.0006797647,0.00012479798,0.00015951817,0.0000034032655,0.00007164915,0.004850988],"genre_scores_gemma":[0.9792673,0.00011185157,0.020205708,0.000062844905,0.00014977917,3.63265e-9,0.00008675932,0.0000026054995,0.000113147245],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992471,0.000050806302,0.00018310636,0.00023709258,0.00012676686,0.00015516582],"domain_scores_gemma":[0.99973583,0.000027782375,0.000040794686,0.00013320844,0.000018725981,0.000043645978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003324024,0.000084444124,0.00008947954,0.00007747703,0.00013147722,0.00007196251,0.000040766216,0.00005647947,0.000045925703],"category_scores_gemma":[0.000030225852,0.000064650114,0.00000875601,0.00018463867,0.000022484013,0.00076798233,0.0000045439606,0.00010050838,0.000014080036],"study_design_candidate":"design_other","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":[0.000034193716,0.0000028192785,0.00056598015,0.00001472914,0.0000013367729,0.0000010908863,0.00069999276,0.0004955615,0.0006932718,6.3549203e-7,0.000046109923,0.9974443],"study_design_scores_gemma":[0.00024798725,0.00002970278,0.039664935,0.000052875468,0.000007405699,0.00011751407,0.00037198054,0.95679164,0.00067636836,0.000057172438,0.0018710417,0.000111396745],"about_ca_topic_score_codex":0.0050452678,"about_ca_topic_score_gemma":0.011240521,"teacher_disagreement_score":0.9973329,"about_ca_system_score_codex":0.0000064389305,"about_ca_system_score_gemma":0.00002603022,"threshold_uncertainty_score":0.7626969},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987387,0.00014445833,0.00046087735,0.00011480198,0.00020218125,0.00020921897,0.000002955709,0.000008436946,0.00011835813],"genre_scores_gemma":[0.9943321,0.00007162254,0.005386014,0.00006208716,0.00008070633,4.8550906e-8,0.000009601211,0.0000030390656,0.0000547996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912125,0.000026691521,0.00034059834,0.000082862636,0.00015982222,0.00026878674],"domain_scores_gemma":[0.9994027,0.000076840166,0.00020315626,0.000056859004,0.00014456705,0.0001158865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008153143,0.000109947934,0.00019513845,0.0003877919,0.00017071654,0.00024270067,0.00004177822,0.00007592825,0.0000033252434],"category_scores_gemma":[0.000086064654,0.000082177066,0.000021613903,0.00013715425,0.000023768807,0.00083059445,0.000013306242,0.00019703312,0.0000010759027],"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":[0.00012842861,0.0000029703892,0.88238615,0.0003403459,0.000018916428,0.00011404466,0.0027657326,0.00027129115,0.0000054670495,0.0000062339263,0.000016041518,0.113944404],"study_design_scores_gemma":[0.0008655628,0.000061280094,0.9640366,0.0001724668,0.000011356026,0.00036717436,0.00079324306,0.021019576,0.0000236455,0.00004155225,0.012479751,0.00012778849],"about_ca_topic_score_codex":0.006063451,"about_ca_topic_score_gemma":0.0028881195,"teacher_disagreement_score":0.11381661,"about_ca_system_score_codex":0.000015015594,"about_ca_system_score_gemma":0.000093999886,"threshold_uncertainty_score":0.9166165},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91406715,0.0000036431566,0.0000037900986,0.00003515737,0.0001567757,0.00010844254,0.000023535922,0.000009411989,0.08559211],"genre_scores_gemma":[0.99962825,0.0000022781696,0.00004255361,0.000044199223,0.00006135976,1.08573005e-7,0.00021646962,0.0000013223621,0.0000034631717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988119,0.00014892743,0.00014972617,0.00033022146,0.00031366278,0.00024556177],"domain_scores_gemma":[0.999652,0.000057238176,0.00006852022,0.00016051969,0.000018892923,0.00004279797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002486295,0.0000788335,0.0000937642,0.00010834296,0.00019984531,0.00006049766,0.00028432044,0.000046040564,0.000047133384],"category_scores_gemma":[0.00008698741,0.000060353734,0.000010380608,0.00030505087,0.000075101045,0.00041015566,0.000009297015,0.00011357119,0.000039004062],"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":[0.00002509446,0.000008388039,0.790551,0.0000011796227,3.9957462e-7,7.2062403e-7,0.0007611711,0.0051802965,0.0000044844696,0.0000018942271,0.0000043357823,0.20346102],"study_design_scores_gemma":[0.00014541327,0.000017559914,0.60083777,0.000012532087,8.899342e-7,3.3340393e-7,0.00006238946,0.39883417,0.000008036129,0.000020617941,0.0000016274796,0.000058633002],"about_ca_topic_score_codex":0.0068010516,"about_ca_topic_score_gemma":0.023892043,"teacher_disagreement_score":0.39365387,"about_ca_system_score_codex":0.000034776287,"about_ca_system_score_gemma":0.00012814619,"threshold_uncertainty_score":0.9998127},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9372531,0.000019475377,0.0024841977,0.0013455196,0.000046629182,0.00015212692,0.000010602535,0.000026992127,0.058661353],"genre_scores_gemma":[0.98842376,0.0000039244856,0.004562995,0.00014099445,0.000070206646,2.2193531e-7,0.00008603244,0.0000042051197,0.0067076283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990949,0.00004451625,0.00012740868,0.00020600705,0.00020086006,0.0003263231],"domain_scores_gemma":[0.99968064,0.000112666676,0.000015470436,0.00012526906,0.000024325529,0.00004161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041377282,0.00007805239,0.00009101719,0.00014912589,0.00011741379,0.00006720012,0.000086251384,0.000060524184,0.00061514694],"category_scores_gemma":[0.000015856178,0.000056217872,0.00002669289,0.00017376039,0.000030401388,0.000086956614,0.0000029013486,0.00014247798,0.0005123621],"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":[0.0001881149,0.00006396986,0.04168854,0.000021727801,0.0000049844216,0.000008662693,0.0004175932,0.91229045,0.00013030574,0.0005649702,0.030047337,0.01457336],"study_design_scores_gemma":[0.00024326803,0.00006133232,0.19525023,0.000008353348,0.0000013961406,0.0000027144235,0.000053854368,0.79881305,0.00013519955,0.0052987104,0.00005994667,0.000071978415],"about_ca_topic_score_codex":0.00648329,"about_ca_topic_score_gemma":0.014001977,"teacher_disagreement_score":0.15356168,"about_ca_system_score_codex":0.000009834685,"about_ca_system_score_gemma":0.000034428667,"threshold_uncertainty_score":0.9800838},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.949112,0.00029459177,0.004643267,0.00064327987,0.00002467077,0.000044259177,0.000020670504,0.00003403917,0.04518324],"genre_scores_gemma":[0.98979884,0.000091481445,0.0066736075,0.00033610547,0.000017145203,1.2698676e-8,0.00007260469,0.0000010443,0.0030091752],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958396,0.000029762768,0.00008318192,0.00012226954,0.000074769305,0.0001060618],"domain_scores_gemma":[0.9997898,0.000051112835,0.000018479972,0.00007308732,0.000007399284,0.000060134927],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000060558486,0.00005568924,0.00010238908,0.000047475285,0.000054186494,0.00004022137,0.000028885783,0.000038543265,0.012826699],"category_scores_gemma":[0.000009294332,0.000035947,0.00002772801,0.00014933138,0.000038642498,0.000062225925,0.0000019704987,0.000043799297,0.00032889307],"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":[0.000024182687,0.00008868777,0.32289815,0.000035425164,0.00047868886,0.00008759018,0.0015637456,0.00045442427,0.0027003775,0.00008167394,0.112975836,0.5586112],"study_design_scores_gemma":[0.00043663164,0.00011706809,0.1422026,0.0000036342615,0.00033518564,0.00009802459,0.00041401506,0.8509174,0.0005173826,0.0008663079,0.003820761,0.00027102442],"about_ca_topic_score_codex":0.00033921484,"about_ca_topic_score_gemma":0.00015014733,"teacher_disagreement_score":0.850463,"about_ca_system_score_codex":6.1878353e-7,"about_ca_system_score_gemma":8.061274e-7,"threshold_uncertainty_score":0.98807573},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6795442,0.000043107502,0.00657922,0.00014079713,0.00076074287,0.000069438865,0.000010744202,0.00027124272,0.3125805],"genre_scores_gemma":[0.98794645,0.0000012510909,0.011180128,0.00008232619,0.00045961695,1.489029e-9,0.00001671833,0.00000291032,0.00031061258],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990168,0.000061731014,0.00015554445,0.00023039481,0.00025392545,0.000281561],"domain_scores_gemma":[0.999606,0.00006362424,0.00003991946,0.0001713378,0.00003635562,0.000082762686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001477871,0.00012967955,0.00013090755,0.000045501503,0.00017209268,0.000110944966,0.00006739727,0.00006148059,0.000034194785],"category_scores_gemma":[0.000014021161,0.00009290179,0.00005674069,0.00021557377,0.000020665953,0.000048354104,0.0000025025304,0.000064465756,0.00018575895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017970067,0.000015885573,0.4248569,0.00009911657,0.00001674472,0.0005380627,0.000023734821,0.106341064,0.000042182706,0.00018038238,0.0021283354,0.4655779],"study_design_scores_gemma":[0.00023864247,0.000052508178,0.272393,0.00010182581,0.000008501095,0.00004221089,0.000040984556,0.7261488,0.00020663443,0.00011927859,0.0004982712,0.00014934926],"about_ca_topic_score_codex":0.049776185,"about_ca_topic_score_gemma":0.0017972687,"teacher_disagreement_score":0.6198077,"about_ca_system_score_codex":0.000015723255,"about_ca_system_score_gemma":0.0000262129,"threshold_uncertainty_score":0.95655143},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982407,0.0000120932355,0.000108822525,0.0010387541,0.00025691523,0.00014067537,0.0000047730487,0.000002378685,0.00019490569],"genre_scores_gemma":[0.99979067,0.000010178182,0.000027414402,0.00003918933,0.000110708774,1.9455672e-7,0.000014569679,0.0000014905594,0.00000557733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999074,0.000093805225,0.0003641255,0.000068930916,0.00033519114,0.00006399121],"domain_scores_gemma":[0.99912566,0.00020369903,0.00029773882,0.000053300122,0.0003011108,0.000018472147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038346084,0.0000612345,0.00011031548,0.00018695703,0.000022794762,0.00007161212,0.00014010453,0.000032285447,0.00006367309],"category_scores_gemma":[0.00021384581,0.00003868132,0.000021947835,0.00022030498,0.000020321118,0.0003236497,0.0000042695087,0.00011884197,0.0000029509752],"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":[0.00011730408,0.00010805617,0.95596427,0.000002532402,0.000009434997,0.000021045871,0.0005850891,0.035210345,0.000009807451,0.000011180037,0.0000014146408,0.007959537],"study_design_scores_gemma":[0.00033738403,0.000111363915,0.84893644,0.000092405746,0.0000024994158,0.000007997409,0.00039859008,0.14996342,0.000018782606,0.00009099573,0.0000049176333,0.000035184832],"about_ca_topic_score_codex":0.0049715457,"about_ca_topic_score_gemma":0.016336216,"teacher_disagreement_score":0.114753075,"about_ca_system_score_codex":0.000014798734,"about_ca_system_score_gemma":0.00003052583,"threshold_uncertainty_score":0.91159916},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979384,0.00017903285,0.000080019214,0.0014432506,0.00010412541,0.00001171974,0.0000029609641,0.000001963458,0.00023856136],"genre_scores_gemma":[0.9993187,0.00030490605,0.0002259948,0.00004082345,0.00005897815,2.9863019e-9,0.000006137139,1.5723494e-7,0.000044305747],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989893,0.000035237736,0.00021587813,0.00008727059,0.00055594975,0.000116369105],"domain_scores_gemma":[0.99921143,0.00015112081,0.00024430003,0.000056284905,0.00025069382,0.00008617602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081522414,0.000052915755,0.00010464819,0.000062107225,0.00033731514,0.000111540285,0.00015361464,0.000020310212,0.000004811586],"category_scores_gemma":[0.00021430879,0.000020071024,0.00007012968,0.00089441927,0.00013985997,0.00026812791,0.000002882331,0.0000821474,0.0000013855827],"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":[0.0001187507,0.000026731776,0.04271247,0.0000014986922,0.000030406625,0.000005248186,0.0003382306,0.013551295,0.0032417641,0.00016461853,0.0012193196,0.9385897],"study_design_scores_gemma":[0.00008462737,0.00022036002,0.9970017,0.000020089907,0.000031129803,0.000048250877,0.00012691766,0.0017246838,0.00015018861,0.0003119297,0.00024312953,0.000036963815],"about_ca_topic_score_codex":0.00011965096,"about_ca_topic_score_gemma":0.0002552891,"teacher_disagreement_score":0.95428926,"about_ca_system_score_codex":0.0000082102115,"about_ca_system_score_gemma":0.000027412056,"threshold_uncertainty_score":0.25943893},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99716604,0.00006115881,0.0006760496,0.0002729482,0.00012657318,0.00022213573,0.000004985806,0.000006138505,0.0014639718],"genre_scores_gemma":[0.9992151,0.0000032920052,0.0004210455,0.00006517071,0.00008753953,9.267497e-8,0.00004788625,0.0000015036153,0.00015832482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992368,0.00005746457,0.000245495,0.00011630334,0.00018811006,0.00015582408],"domain_scores_gemma":[0.99959743,0.00014404187,0.00005773063,0.00008218505,0.000006342932,0.000112262445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028407315,0.00008998498,0.00012074536,0.000099180215,0.00004441345,0.000041628202,0.000074631855,0.000029294017,0.00008663076],"category_scores_gemma":[0.00004185689,0.00005279803,0.00001591378,0.00016642171,0.0000062585195,0.0001254547,0.0000048942547,0.00008291974,0.0000044759227],"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":[0.000036468526,0.000039207676,0.7599289,0.0000010075545,0.00000603558,0.00002620761,0.0037847967,0.00015109958,4.0443007e-7,0.0000040782243,0.00014431772,0.23587748],"study_design_scores_gemma":[0.0010763662,0.00006621542,0.9912377,0.000012944017,0.000006245242,0.00007511542,0.0026079125,0.004306037,0.000001953609,0.0000237673,0.0005141137,0.00007165344],"about_ca_topic_score_codex":0.08816248,"about_ca_topic_score_gemma":0.16454713,"teacher_disagreement_score":0.23580582,"about_ca_system_score_codex":0.000009148034,"about_ca_system_score_gemma":0.00005201572,"threshold_uncertainty_score":0.9179095},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7876973,0.00021934786,0.21023689,0.00042127408,0.0007466613,0.00007445343,0.0000128220145,0.000006660887,0.00058458955],"genre_scores_gemma":[0.63528514,0.000012466648,0.364166,0.00008803435,0.00036248335,5.326418e-10,0.000009046432,0.000005667838,0.00007114788],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875844,0.00009095116,0.0004433251,0.00013657474,0.00037829735,0.0001924107],"domain_scores_gemma":[0.998697,0.00039704508,0.00033342224,0.00008872518,0.0003867905,0.00009703561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042841784,0.00013904383,0.00034962615,0.00018487676,0.00008271253,0.00008825692,0.00018230703,0.000061935585,0.00006901249],"category_scores_gemma":[0.00023204084,0.00010066192,0.00017639245,0.00010459725,0.000033233777,0.00013890998,0.000009131925,0.00019389462,0.0000036390106],"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":[0.0003236494,0.000011007562,0.00881222,0.000011726343,0.000103898084,0.000017805503,0.00035266206,0.050488926,0.0031169916,0.000001385168,0.00021385653,0.93654585],"study_design_scores_gemma":[0.00044212662,0.00020940861,0.031022204,0.00039054445,0.00008494199,0.00036624054,0.00009353181,0.95398355,0.008444071,0.00081402936,0.0039852806,0.00016406247],"about_ca_topic_score_codex":0.00046332163,"about_ca_topic_score_gemma":0.00050162035,"teacher_disagreement_score":0.9363818,"about_ca_system_score_codex":0.000022471131,"about_ca_system_score_gemma":0.000048076392,"threshold_uncertainty_score":0.41048738},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989055,0.00008877851,0.0007778419,0.00005623278,0.00015234835,0.00004041571,0.000014184734,0.000018300509,0.009796916],"genre_scores_gemma":[0.9979163,0.000022850862,0.0016324541,0.0002605752,0.000028465527,3.86769e-8,0.00011183348,7.2447546e-7,0.000026756468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964935,0.000076859804,0.00009991352,0.00008409838,0.000022506705,0.000067291316],"domain_scores_gemma":[0.9997459,0.00004187509,0.00006280179,0.00008341126,0.0000378168,0.000028218581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010236965,0.00003638693,0.00006477017,0.000038491664,0.000028644376,0.0000022246459,0.00004834557,0.000051020772,0.00048211258],"category_scores_gemma":[0.000022690441,0.000027708318,0.000012716247,0.00006524135,0.000054307413,0.000065452645,9.522251e-7,0.000026537604,0.0000366253],"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":[0.00006147247,0.000008301881,0.8149654,0.0000012399172,0.0000054775837,4.978795e-7,0.00030625306,0.00001499111,0.0003344995,0.0007618074,0.00010784712,0.18343218],"study_design_scores_gemma":[0.000102423335,0.00030216295,0.9825681,0.0000019269785,0.0000033409456,0.0000021476433,0.000044110122,0.012072078,0.0008389447,0.0024681536,0.0015547655,0.00004187361],"about_ca_topic_score_codex":0.00376795,"about_ca_topic_score_gemma":0.0009640107,"teacher_disagreement_score":0.1833903,"about_ca_system_score_codex":6.3956975e-7,"about_ca_system_score_gemma":0.00002092323,"threshold_uncertainty_score":0.56960386},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892093,0.00033738808,0.008234807,0.0005778758,0.000041373216,0.0002952852,0.000010147188,0.00001308599,0.0012807257],"genre_scores_gemma":[0.9499233,0.00001749512,0.0494007,0.000058599555,0.000061709936,1.3826522e-8,0.00002772141,0.000002032873,0.0005084291],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994227,0.000018694129,0.00020548305,0.000140613,0.00009160733,0.00012086362],"domain_scores_gemma":[0.9997045,0.00005399588,0.00007882557,0.00009633519,0.00003382167,0.000032539298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013441622,0.00007434338,0.0001521314,0.000070199916,0.000032052303,0.000014267947,0.000039231123,0.000046288453,0.000009228796],"category_scores_gemma":[0.000016217484,0.000044026645,0.000024667419,0.00008196868,0.000037110327,0.000062583706,0.00000495285,0.000047667112,7.5060143e-7],"study_design_candidate":"design_other","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":[0.000038717124,0.0000020652983,0.0044530197,0.000043781412,0.000005284122,2.3565634e-7,0.00043891498,0.0017435229,0.00088156207,0.000006763585,0.000038145998,0.992348],"study_design_scores_gemma":[0.00039115985,0.000058339807,0.15373062,0.000059828115,0.0000065386434,0.00001352359,0.00028532004,0.8396173,0.002954934,0.00016952913,0.0026134115,0.00009946846],"about_ca_topic_score_codex":0.07594906,"about_ca_topic_score_gemma":0.103284806,"teacher_disagreement_score":0.99224854,"about_ca_system_score_codex":0.000004007671,"about_ca_system_score_gemma":0.000019293722,"threshold_uncertainty_score":0.9302043},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99757355,0.00025217407,0.0000023016642,0.0001571962,0.00016243293,0.00023314376,0.000033716646,0.00002394696,0.0015615328],"genre_scores_gemma":[0.9313766,0.0005618376,0.005413734,0.0001980305,0.00038216676,4.521893e-9,0.0017843749,0.000028523284,0.060254727],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99876666,0.00015007869,0.00012581403,0.00030817918,0.00032688084,0.00032240085],"domain_scores_gemma":[0.99944466,0.00004883488,0.0001835327,0.00022396231,0.000035756944,0.000063232335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028269354,0.0002214221,0.0003286261,0.00022000106,0.00024119415,0.000066027234,0.00019328592,0.00022287632,0.00018111538],"category_scores_gemma":[0.000007217821,0.00018718687,0.00011282336,0.00018571598,0.00003622577,0.00015621609,0.000008178744,0.00030335976,0.000109234476],"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":[0.0011398925,0.000035946323,0.02243488,0.0002998835,0.00014539843,0.0011714208,0.4021839,0.0019135413,0.0011405953,5.647335e-7,0.00029870236,0.56923527],"study_design_scores_gemma":[0.002332931,0.0004883891,0.7012578,0.001847376,0.00042191922,0.00015227521,0.08973569,0.1963064,0.00022820698,0.00013531145,0.005642724,0.0014509727],"about_ca_topic_score_codex":0.15215017,"about_ca_topic_score_gemma":0.27576202,"teacher_disagreement_score":0.67882293,"about_ca_system_score_codex":0.000019867415,"about_ca_system_score_gemma":0.00004018945,"threshold_uncertainty_score":0.8534957},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895097,0.00014088875,0.008978438,0.000028160835,0.00008544605,0.000079787984,0.000056540986,0.000026112866,0.0010949194],"genre_scores_gemma":[0.9925821,0.00014548973,0.0065680807,0.0001414358,0.0000835776,8.2784485e-10,0.00045081417,0.0000016947924,0.000026838065],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994467,0.000019809919,0.00014515645,0.00011724686,0.000135735,0.00013536289],"domain_scores_gemma":[0.999512,0.00014015089,0.0000756485,0.00018410731,0.000030267784,0.000057802157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022619744,0.000077960125,0.00010108784,0.000063469684,0.000069832604,0.00008974921,0.00004258332,0.00004827489,0.000022079861],"category_scores_gemma":[0.000025003888,0.00004946611,0.000007884817,0.00010492203,0.000030286832,0.0010473982,0.000010608011,0.00006783243,0.000016758204],"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":[0.00011104462,5.7121014e-7,0.2693381,0.0000066071498,0.000008695296,0.000003819469,0.00023849278,0.00002400573,0.000046636138,6.988356e-8,0.0000028254865,0.7302191],"study_design_scores_gemma":[0.00029872576,0.000052639094,0.8612955,0.000039920935,0.000017642275,0.000033372355,0.00007046758,0.13231847,0.00029891997,0.0000098034425,0.0054709837,0.00009355795],"about_ca_topic_score_codex":0.063580155,"about_ca_topic_score_gemma":0.054551687,"teacher_disagreement_score":0.7301256,"about_ca_system_score_codex":0.0000015867058,"about_ca_system_score_gemma":0.00000601207,"threshold_uncertainty_score":0.9627003},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9541083,0.00020627826,0.0002442165,0.00020875657,0.00053795957,0.00020945037,0.00030296308,0.00001006828,0.044172008],"genre_scores_gemma":[0.99776995,0.000026941765,0.0005853286,0.00009607189,0.00006966045,5.0488677e-7,0.00009777278,0.000004238587,0.0013495203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989513,0.0000435288,0.00019827043,0.00014605779,0.00050052186,0.00016028708],"domain_scores_gemma":[0.99917805,0.00046893494,0.0001078347,0.00011239458,0.0000011427437,0.00013166577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000011404862,0.000097899414,0.00017634917,0.000015454665,0.00013103978,0.000039793413,0.00008499222,0.000022066211,0.00011574461],"category_scores_gemma":[0.000004748178,0.00007982887,0.000025520003,0.000055429693,0.000030591727,0.00031682846,0.000010970148,0.000050198476,2.1450118e-8],"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":[0.0023302631,0.000041257423,0.5248323,0.0018773549,0.0005998214,0.000046109337,0.00063887716,0.0059864526,0.09749135,0.0064740577,0.0072525935,0.35242957],"study_design_scores_gemma":[0.00071197125,0.00025656653,0.85298574,0.00036071727,0.00006891368,0.000005587695,0.006619528,0.102371715,0.026440708,0.00048529552,0.009344814,0.00034842826],"about_ca_topic_score_codex":0.072703235,"about_ca_topic_score_gemma":0.06014059,"teacher_disagreement_score":0.35208115,"about_ca_system_score_codex":0.0000013901533,"about_ca_system_score_gemma":0.0002669699,"threshold_uncertainty_score":0.9570094},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942518,0.00005035718,0.00033826465,0.00003317151,0.0005906001,0.00025166853,0.0005989893,0.00009304774,0.0037920917],"genre_scores_gemma":[0.9931816,0.000033861514,0.0062615266,0.000043372616,0.00008513883,7.567472e-9,0.00012838905,0.0000060681655,0.00026003006],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99867225,0.00008400734,0.00016344653,0.00053994823,0.00021660856,0.00032372508],"domain_scores_gemma":[0.9989476,0.000052540807,0.00012491738,0.000601487,0.000053041393,0.00022040459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026287136,0.00005812296,0.0002722367,0.000056925892,0.0002530482,0.00008644506,0.00055907044,0.00009036999,0.0002301555],"category_scores_gemma":[0.000062534185,0.00016398705,0.00006551033,0.00025802763,0.000056980098,0.0004092934,0.00008710431,0.00012635776,0.00010453241],"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":[0.000053788997,0.00001684945,0.01422147,0.000029572131,0.000025090905,0.00026957953,0.0003828462,0.000032452343,0.00014266117,3.0718248e-8,0.0008839713,0.9839417],"study_design_scores_gemma":[0.00083917845,0.000127156,0.98936045,0.00018259039,0.000022822049,0.000065831155,0.0013369507,0.0057834936,0.0000018439496,0.000030186293,0.0020302339,0.00021925205],"about_ca_topic_score_codex":0.3482504,"about_ca_topic_score_gemma":0.7267692,"teacher_disagreement_score":0.98372245,"about_ca_system_score_codex":0.000009231273,"about_ca_system_score_gemma":0.000068052366,"threshold_uncertainty_score":0.66871977},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983755,0.00036560354,0.000479182,0.00006718294,0.00005114474,0.000071199494,0.00016652404,0.000013910485,0.0004097539],"genre_scores_gemma":[0.9847681,0.00022513382,0.014784724,0.000029775252,0.000012370682,3.9608372e-11,0.000012396282,0.000001840209,0.00016564547],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993932,0.000032377797,0.00009800805,0.00018866302,0.00015579388,0.00013193673],"domain_scores_gemma":[0.9995532,0.00004360205,0.00008493885,0.00013450928,0.00010871006,0.00007505135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008113916,0.000036037807,0.00022765213,0.00002726639,0.000099217956,0.000028002893,0.00008776016,0.000078963036,0.000019058096],"category_scores_gemma":[0.000014842658,0.000092794,0.00003937079,0.00018152241,0.00010152851,0.00011557981,0.000008330336,0.00009225062,5.456168e-7],"study_design_candidate":"design_other","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":[0.000034452994,0.0000044856583,0.005237875,0.00007126676,0.000014106678,0.000040442766,0.00069648307,0.055689193,0.0019094486,2.1994293e-7,0.00023417883,0.9360678],"study_design_scores_gemma":[0.00027684556,0.00013631869,0.91383153,0.00032135413,0.000018768062,0.000058958383,0.000831286,0.083678916,0.000035930567,0.0006191528,0.000060123013,0.00013082293],"about_ca_topic_score_codex":0.14992228,"about_ca_topic_score_gemma":0.12717986,"teacher_disagreement_score":0.93593705,"about_ca_system_score_codex":0.0000025858653,"about_ca_system_score_gemma":0.000026044487,"threshold_uncertainty_score":0.8887468},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929331,0.0024053433,0.0011918365,0.0012746495,0.0007141836,0.000091126465,0.000011234723,0.000015966618,0.0013625828],"genre_scores_gemma":[0.9826782,0.00033452085,0.015923174,0.00052841863,0.00047772826,1.8495794e-10,0.000013382084,0.000018683419,0.000025925476],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979265,0.00024288247,0.0004860251,0.00035192343,0.0003124107,0.000680269],"domain_scores_gemma":[0.99726033,0.00010902633,0.0002883226,0.00026048828,0.00023618925,0.001845626],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009793116,0.00030906484,0.00052818586,0.0006088346,0.00026156806,0.00035493335,0.00010935271,0.00022203026,0.000002904739],"category_scores_gemma":[0.00028660794,0.00027235222,0.00006472866,0.00038718875,0.00021669683,0.00036351,0.000008966325,0.0007077463,0.0000054986176],"study_design_candidate":"design_other","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":[0.00007349337,0.0000015242774,0.009165211,0.000018163273,0.000023932686,0.0026641737,0.002389544,0.0023915886,0.0011142002,9.865171e-7,0.0004469086,0.98171026],"study_design_scores_gemma":[0.00250673,0.00057693216,0.14124489,0.0014316044,0.0001522541,0.02600105,0.0038874268,0.799726,0.004220484,0.0035148954,0.0154590905,0.0012786153],"about_ca_topic_score_codex":0.11651335,"about_ca_topic_score_gemma":0.63335097,"teacher_disagreement_score":0.9804317,"about_ca_system_score_codex":0.000055904897,"about_ca_system_score_gemma":0.0008593866,"threshold_uncertainty_score":0.9999729},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981144,0.0002371094,8.2895804e-7,0.00023305883,0.000597589,0.00014761923,0.00003911438,0.000018734856,0.00061152875],"genre_scores_gemma":[0.9986164,0.0005451735,0.000380535,0.00018394347,0.00018119349,3.1157296e-7,0.000050574494,0.0000075087864,0.000034336637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988766,0.000057435802,0.0003002536,0.0002677018,0.00016710827,0.00033093858],"domain_scores_gemma":[0.9994993,0.00008722071,0.00009319973,0.00018654432,0.000028036908,0.00010569607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003892133,0.00014779365,0.0002780454,0.00023175667,0.000044288387,0.000050966602,0.00011577578,0.00017008359,0.00022812189],"category_scores_gemma":[0.00009087951,0.00013254136,0.00002995686,0.0003304494,0.00006621695,0.00014149799,0.000013513851,0.00040749132,0.00002386454],"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":[0.000042463093,0.000019186942,0.795284,0.0000366958,0.0000045018355,0.00007428107,0.0018764699,0.0000058076052,0.0028942642,0.000004276662,0.000026518124,0.19973157],"study_design_scores_gemma":[0.0003903686,0.000037559625,0.9958033,0.00009767569,0.000006671571,0.000023452678,0.00017413699,0.0015809732,0.0002918519,0.00006751367,0.0013584197,0.00016809058],"about_ca_topic_score_codex":0.002165538,"about_ca_topic_score_gemma":0.0131054,"teacher_disagreement_score":0.20051932,"about_ca_system_score_codex":0.0000039477145,"about_ca_system_score_gemma":0.000026419917,"threshold_uncertainty_score":0.7313121},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31306908,0.00015581529,0.5055214,0.002006751,0.0010183814,0.0005969336,0.000017459499,0.0004753424,0.17713884],"genre_scores_gemma":[0.5538881,0.000027454602,0.43913516,0.0035279104,0.00033796864,1.5873702e-8,0.00009562076,0.00000902339,0.002978776],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989813,0.00006219418,0.00016937936,0.0002407554,0.00019164717,0.00035472985],"domain_scores_gemma":[0.9993829,0.0001363728,0.000044374607,0.00021230358,0.000055433215,0.00016859816],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000169436,0.00013422093,0.00014094367,0.00008832163,0.0001680362,0.00015931332,0.000086320906,0.000065433065,0.001810871],"category_scores_gemma":[0.000027255586,0.000096325544,0.000057410853,0.00023342414,0.000032805034,0.00015009996,0.0000047817343,0.00012910958,0.0024033047],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017526799,0.0000021711392,0.0004047143,0.0000069623543,0.0000045863308,0.000016783662,0.00004418352,0.0002312036,0.000061126884,1.7706287e-7,0.0014893757,0.997737],"study_design_scores_gemma":[0.00019918747,0.000015266505,0.041669738,0.00003428268,0.00000400228,0.000026546206,0.000106477746,0.94934446,0.00031682354,0.0001429286,0.0079674935,0.00017277403],"about_ca_topic_score_codex":0.024063822,"about_ca_topic_score_gemma":0.0006778956,"teacher_disagreement_score":0.9975642,"about_ca_system_score_codex":0.0000033776166,"about_ca_system_score_gemma":0.000032011994,"threshold_uncertainty_score":0.99910164},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82734716,0.0016539736,0.14383747,0.0026153522,0.00028074678,0.0001083777,0.00001548278,0.0001038523,0.024037585],"genre_scores_gemma":[0.97850966,0.001518146,0.0071620727,0.00007643927,0.00020397027,4.377527e-7,0.000011283752,0.0000042277825,0.012513781],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99904716,0.00022629596,0.00014996962,0.00018566295,0.000121075114,0.00026983558],"domain_scores_gemma":[0.9992423,0.00044539868,0.00004255457,0.00012517514,0.000040315594,0.000104256345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045264853,0.00011437649,0.00009613554,0.00006209974,0.00022743792,0.00011031034,0.000067077075,0.00015016289,0.0007561229],"category_scores_gemma":[0.000120188284,0.00006860418,0.00004371898,0.00018675352,0.0002859171,0.00029358736,0.000004628848,0.00006723961,0.0006119357],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001736476,0.00002520042,0.06248162,0.000024911926,0.0000085697775,0.000002238702,0.00026661094,0.0015448676,0.002718376,0.0005756731,0.0013250328,0.93100953],"study_design_scores_gemma":[0.00036512094,0.00017662566,0.71190417,0.00018290247,0.000042223528,0.00021460293,0.00025113876,0.17102489,0.006015439,0.00905706,0.10050947,0.00025638824],"about_ca_topic_score_codex":0.008414773,"about_ca_topic_score_gemma":0.0031096516,"teacher_disagreement_score":0.9307532,"about_ca_system_score_codex":0.000025808631,"about_ca_system_score_gemma":0.00006182678,"threshold_uncertainty_score":0.99818826},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98954517,0.0065281102,0.000019584473,0.00013872041,0.001224966,0.00045887806,0.000011982664,0.000029803876,0.0020427639],"genre_scores_gemma":[0.9977329,0.0015330913,0.0005454224,0.00006045913,0.0000721767,0.000002111079,0.000008440407,0.0000043445075,0.000041051528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99571776,0.00016554179,0.00064018153,0.001037961,0.0015176263,0.00092091545],"domain_scores_gemma":[0.99831367,0.0009287038,0.00030829792,0.00026563415,0.00006593039,0.00011775202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306634,0.0003838225,0.0005175555,0.0010048463,0.00030301537,0.00011289804,0.0009872627,0.000068418034,0.000024938656],"category_scores_gemma":[0.00034788824,0.00018033164,0.000053780444,0.004074996,0.0016755568,0.00375902,0.000050772673,0.00048236854,0.000006501938],"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":[0.00032401417,0.00007788825,0.85813844,0.000011214694,0.0000013411503,0.000088840156,0.0007251388,0.01729209,0.00040840052,0.000041960724,3.2176044e-7,0.122890376],"study_design_scores_gemma":[0.0014458671,0.0007763499,0.9871442,0.00043784583,0.0000024766844,0.000019571835,0.0010451541,0.0057035633,0.00035804257,0.0025775256,0.00010160514,0.0003878368],"about_ca_topic_score_codex":0.0012518177,"about_ca_topic_score_gemma":0.1048215,"teacher_disagreement_score":0.12900575,"about_ca_system_score_codex":0.0000819819,"about_ca_system_score_gemma":0.00012894093,"threshold_uncertainty_score":0.91151315},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943754,0.00016312009,0.0049742167,0.00013421297,0.0001720745,0.00008332106,0.000006089432,0.0000059616864,0.00008561788],"genre_scores_gemma":[0.99085325,0.00005196608,0.008853881,0.000032251897,0.0001795709,4.580336e-8,5.2826886e-7,0.0000022687861,0.000026239411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987677,0.0000730691,0.0003275191,0.00016910597,0.0004695223,0.00019309776],"domain_scores_gemma":[0.99926645,0.00008107303,0.00034224318,0.00011427825,0.00006892314,0.00012705993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072545686,0.00010048372,0.00016397671,0.00015769414,0.00020300642,0.000053308322,0.00021994415,0.000035124096,0.00003714013],"category_scores_gemma":[0.00007123583,0.00005630293,0.00005024991,0.00026836264,0.00013425224,0.00040519235,0.000010683551,0.00005777688,0.000018863704],"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":[0.00003002183,0.000015203026,0.9037209,0.000003028643,0.0000046713603,0.0000027058384,0.00020140174,0.038271405,0.03007626,0.0000015652245,0.00000274023,0.027670091],"study_design_scores_gemma":[0.00023412835,0.00034575723,0.98306245,0.000178713,0.000008509692,0.00001571,0.00008024247,0.004393485,0.011235185,0.000017320097,0.0003291008,0.00009939879],"about_ca_topic_score_codex":0.00020128646,"about_ca_topic_score_gemma":0.000026516758,"teacher_disagreement_score":0.079341546,"about_ca_system_score_codex":0.0000044143653,"about_ca_system_score_gemma":0.00005691633,"threshold_uncertainty_score":0.22959669},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935308,0.00013923555,0.0020711164,0.00018145549,0.0002713583,0.00015698392,0.000109618646,0.000010219873,0.0035292062],"genre_scores_gemma":[0.9969262,0.00015098896,0.0023364066,0.000015125439,0.00014506286,1.0856036e-8,0.000015943777,0.000002446452,0.00040783768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916637,0.00005492531,0.00018782448,0.000108505265,0.00028086087,0.00020151286],"domain_scores_gemma":[0.999109,0.00005701528,0.0003170173,0.000114551854,0.00022080651,0.000181596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031987517,0.000108496744,0.00021417928,0.0001334364,0.0000937004,0.000037261485,0.00020456615,0.0000483651,0.00001563488],"category_scores_gemma":[0.000018888293,0.00008764689,0.00009828836,0.00018673587,0.000056922694,0.00077652425,0.000017266642,0.00012754007,0.0000022409872],"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":[0.001649377,0.00009213989,0.9315371,0.00011255995,0.00011015649,0.0003865204,0.000826882,0.00513011,0.0000025464474,0.0003204441,0.0003314712,0.05950068],"study_design_scores_gemma":[0.001879875,0.0006790019,0.9489347,0.00012877687,0.00010535836,0.00008185449,0.0044455132,0.0041188104,0.000020501888,0.00010968964,0.039303053,0.00019290824],"about_ca_topic_score_codex":0.0012796482,"about_ca_topic_score_gemma":0.006608096,"teacher_disagreement_score":0.059307773,"about_ca_system_score_codex":0.00001857836,"about_ca_system_score_gemma":0.00012572765,"threshold_uncertainty_score":0.36874726},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043463416,0.0001519279,0.95458966,0.000487712,0.00012355494,0.0001285791,5.4982263e-7,0.00013077473,0.0009238219],"genre_scores_gemma":[0.07534275,0.000012691916,0.9241456,0.00019357984,0.00009169937,1.7991686e-8,0.00006252422,0.0000027682674,0.00014839025],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924934,0.000007928329,0.00016975003,0.00026739188,0.000074233714,0.00023137197],"domain_scores_gemma":[0.99967754,0.00004931375,0.00005078854,0.00011523437,0.0000339619,0.00007318375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025655454,0.00010142128,0.00011408619,0.00022072205,0.00020509225,0.000031411422,0.00007814786,0.00014381207,0.0000053755516],"category_scores_gemma":[0.0000074299433,0.00008345512,0.000015973781,0.00017831894,0.00006271023,0.000042955315,0.000012868962,0.00010393267,0.000010541968],"study_design_candidate":"design_other","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":[0.000025143498,0.0000029494822,0.0015356421,0.00000906675,0.000011017299,0.0000045706374,0.00011313613,0.00006281196,0.000024559458,0.0000828347,0.0013424648,0.9967858],"study_design_scores_gemma":[0.0010386937,0.00012392121,0.23972605,0.000051426407,0.000013065811,0.00046539324,0.00025167738,0.63066757,0.00091322314,0.0030907714,0.12318374,0.00047447803],"about_ca_topic_score_codex":0.000036711153,"about_ca_topic_score_gemma":0.00007166787,"teacher_disagreement_score":0.9963113,"about_ca_system_score_codex":0.0000056138388,"about_ca_system_score_gemma":0.00006217362,"threshold_uncertainty_score":0.34032008},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977817,0.0003557029,0.000049553844,0.00013208645,0.00005160592,0.00029223226,0.00004508499,0.000009840874,0.0012821946],"genre_scores_gemma":[0.9997221,0.000031437597,0.00006434174,0.000048665832,0.00006840591,1.7588246e-7,0.000023870938,0.0000037870855,0.000037220903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986317,0.00026730285,0.00022050976,0.0002981447,0.00030843692,0.00027386373],"domain_scores_gemma":[0.9991385,0.0004235812,0.000059666683,0.00021939017,0.000025456362,0.0001334539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043827292,0.0001808863,0.0003051845,0.00028452618,0.00014382,0.000033400782,0.000095620315,0.000073170384,0.000019525245],"category_scores_gemma":[0.000080643,0.00010140141,0.000038108235,0.00035360813,0.00008462987,0.00004147606,0.00001536227,0.0003662589,5.878366e-7],"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":[0.001650577,0.00027841586,0.83778644,0.000033475673,0.000028446599,0.0019935349,0.009396003,0.017699873,0.000064656764,0.0000040373475,0.00046263906,0.1306019],"study_design_scores_gemma":[0.0010907522,0.002101785,0.9919224,0.00012935256,0.000014058182,0.00013664649,0.0012963307,0.002827068,0.00003360586,0.00020326146,0.00009846571,0.0001462913],"about_ca_topic_score_codex":0.0024804743,"about_ca_topic_score_gemma":0.0009116053,"teacher_disagreement_score":0.15413594,"about_ca_system_score_codex":0.0000058693377,"about_ca_system_score_gemma":0.000027193262,"threshold_uncertainty_score":0.41350296},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98860925,0.00043420092,0.00088538515,0.0004579153,0.00017182263,0.00012644185,0.000028138831,0.000041150033,0.0092457],"genre_scores_gemma":[0.997884,0.000009672778,0.0012996114,0.00010430978,0.00026757395,1.2966517e-7,0.000116329895,0.0000037803748,0.00031461383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991011,0.00011120554,0.00013678364,0.00021303033,0.00016730974,0.00027058783],"domain_scores_gemma":[0.9997216,0.00006634662,0.000027532102,0.00013409874,0.0000015876406,0.000048854698],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013072292,0.000115885894,0.0001097102,0.000105999825,0.00006927732,0.000043872766,0.000099274184,0.000067980734,0.0011361355],"category_scores_gemma":[0.0000048574793,0.000085631815,0.000042421612,0.00009231734,0.000033733428,0.000043491724,0.0000048116517,0.00017406396,0.00021350483],"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":[0.0004121454,0.00007655023,0.65138966,0.000018467721,0.000018371717,0.00060049025,0.0012428762,0.19012788,0.0016850634,0.000008863943,0.018457616,0.13596204],"study_design_scores_gemma":[0.00040147323,0.00007716357,0.98335445,0.00001196629,0.000005156992,0.00005595726,0.000050882834,0.0096235825,0.00017038024,0.002179392,0.0039051215,0.00016447848],"about_ca_topic_score_codex":0.0016176552,"about_ca_topic_score_gemma":0.00676974,"teacher_disagreement_score":0.33196482,"about_ca_system_score_codex":0.0000024298915,"about_ca_system_score_gemma":0.000012725728,"threshold_uncertainty_score":0.99977696},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952709,0.00010426751,0.000667086,0.00019522256,0.00017676972,0.00040281762,0.0001337665,0.000104113315,0.0029450203],"genre_scores_gemma":[0.9965705,0.000006570006,0.002623243,0.00011425825,0.00009110705,0.0000011101893,0.0003310834,0.000009744386,0.00025233743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809486,0.00014999625,0.00044549277,0.00047902943,0.00042112538,0.00040950853],"domain_scores_gemma":[0.9988581,0.00008490695,0.00015611954,0.00051527494,0.00012241112,0.00026320844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008017327,0.00022018117,0.0003169323,0.00013048758,0.00009896844,0.00006772954,0.00025226598,0.0001640802,0.00003151877],"category_scores_gemma":[0.00017106564,0.00018204037,0.000067773275,0.00034544757,0.00011723265,0.00052070565,0.000013348367,0.0002453717,0.000025637846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003073804,0.00020438056,0.47743627,0.00007453276,0.000013704906,0.00003687348,0.0014352048,0.5041557,0.000099059915,0.000024738893,0.00030944057,0.015902683],"study_design_scores_gemma":[0.0008356928,0.00040450084,0.1075678,0.00007747487,0.000015290942,0.000004260695,0.00013345886,0.88934,0.00033521978,0.0006457096,0.00044144012,0.00019918488],"about_ca_topic_score_codex":0.010059122,"about_ca_topic_score_gemma":0.025262665,"teacher_disagreement_score":0.38518426,"about_ca_system_score_codex":0.0000336654,"about_ca_system_score_gemma":0.00050723687,"threshold_uncertainty_score":0.996533},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9151506,0.000037362144,0.000005052549,0.0014076948,0.00007184415,0.00010631709,0.0000013686684,0.000011481587,0.08320832],"genre_scores_gemma":[0.999202,0.000035066867,0.000011991045,0.00046868043,0.000037906804,1.0586854e-7,0.0000106086145,3.986038e-7,0.00023325434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994321,0.0001242264,0.00010212421,0.00008747748,0.00014476533,0.000109317276],"domain_scores_gemma":[0.9995067,0.00029947414,0.00003451597,0.00012919509,0.000011728172,0.000018348863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026220453,0.000053948675,0.00007011585,0.000015998483,0.00007050953,0.000029078994,0.00013905547,0.000038014197,0.000093645154],"category_scores_gemma":[0.000021704376,0.000016026197,0.000028515584,0.00017612787,0.000024080584,0.000024924097,0.0000022132874,0.0000919719,0.00003231626],"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":[0.00009988742,0.00012953239,0.9371138,0.000022408933,0.000012860311,0.000276124,0.0011690836,0.009166428,0.000005430983,0.005851311,0.01890988,0.02724326],"study_design_scores_gemma":[0.000086400774,0.00012355133,0.9898673,0.000022904875,0.0000032659555,0.00007679321,0.0019961856,0.0020621314,0.0000065630793,0.00007767721,0.00563655,0.000040631665],"about_ca_topic_score_codex":0.005796819,"about_ca_topic_score_gemma":0.027523957,"teacher_disagreement_score":0.08405143,"about_ca_system_score_codex":0.0000022603756,"about_ca_system_score_gemma":0.000006127525,"threshold_uncertainty_score":0.9902212},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99342835,0.00017639225,0.002801595,0.000026954018,0.00038773732,0.00020819058,0.00011461856,0.000036128797,0.0028200333],"genre_scores_gemma":[0.9180797,0.00003594546,0.081407584,0.000038918537,0.000107200176,1.543499e-7,0.00016001782,0.000005911336,0.0001645887],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987664,0.00013159573,0.00041567607,0.0001987355,0.0002689541,0.00021863756],"domain_scores_gemma":[0.99919116,0.000170424,0.00025416558,0.00018547037,0.00012099443,0.00007777057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037319577,0.0001249397,0.000270087,0.00011044511,0.00010810916,0.000052897667,0.000103243685,0.000109309534,0.00014751198],"category_scores_gemma":[0.000096482996,0.00010177038,0.000072152005,0.00021378665,0.000055702927,0.0002625486,0.0000071510462,0.00013353046,0.000028481587],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002960231,0.0001177142,0.54826325,0.00032798524,0.0002072566,0.00001587746,0.0047536567,0.031588726,0.35339993,0.00004582157,0.0031639333,0.057819843],"study_design_scores_gemma":[0.00087890925,0.00039436625,0.31691924,0.00025493623,0.000081015314,0.000041078307,0.0006913795,0.53878546,0.14068943,0.00043825817,0.00061322557,0.00021271619],"about_ca_topic_score_codex":0.013151446,"about_ca_topic_score_gemma":0.00011419491,"teacher_disagreement_score":0.5071967,"about_ca_system_score_codex":0.0000070298547,"about_ca_system_score_gemma":0.00006472091,"threshold_uncertainty_score":0.99342006},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19432898,0.0001359385,0.80036896,0.00031977342,0.000029045053,0.00076543784,0.000058291902,0.00020777655,0.003785766],"genre_scores_gemma":[0.2607843,0.000006259035,0.7378711,0.0005277327,0.0005931949,0.000007287645,0.00010527201,0.000005507891,0.00009936218],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991993,0.00008295661,0.00013306999,0.00030388884,0.000072218216,0.0002086166],"domain_scores_gemma":[0.99941576,0.00013115705,0.000041797815,0.0002382245,0.000043275966,0.00012977528],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014809034,0.00011624759,0.000121549805,0.000060566308,0.0002093376,0.00009943804,0.00020439047,0.00005510714,0.00017720296],"category_scores_gemma":[4.9998897e-7,0.00009564331,0.000050507246,0.000171778,0.000035196303,0.00014780529,0.000007771676,0.00010814278,0.0010470854],"study_design_candidate":"design_other","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":[0.000007197962,0.000029784682,0.0007762312,0.000004258779,0.000009264957,7.9004866e-7,0.00015601868,0.00092372915,0.006502275,0.000015099856,0.0007231066,0.99085224],"study_design_scores_gemma":[0.0003399186,0.00009448502,0.106938034,0.0000050603317,0.00002168822,0.00004964351,0.000021699603,0.12676859,0.012764906,0.00020030724,0.7525468,0.00024887547],"about_ca_topic_score_codex":0.00028473546,"about_ca_topic_score_gemma":0.0005570018,"teacher_disagreement_score":0.9906034,"about_ca_system_score_codex":0.0000065892477,"about_ca_system_score_gemma":0.000015015629,"threshold_uncertainty_score":0.9997307},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969009,0.000057135967,0.000006306457,0.00009738222,0.000045395485,0.00007853069,0.00001676221,0.000007512145,0.002790054],"genre_scores_gemma":[0.99984545,0.000010617228,0.00003507769,0.000072909,0.000004666295,4.2570687e-8,0.000016881688,0.0000010014342,0.000013368162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933237,0.00016237145,0.0001518276,0.00012838641,0.00009079838,0.00013426295],"domain_scores_gemma":[0.99953115,0.0002039379,0.000050027887,0.0001605274,0.000016820375,0.000037519945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054668623,0.00006766726,0.00017234024,0.00007221807,0.00005768868,0.000009412227,0.00008297349,0.000025668907,0.000060634768],"category_scores_gemma":[0.000036159596,0.000034880784,0.000045369216,0.0001971558,0.00008098995,0.000020106401,0.0000068476566,0.000092217764,0.0000043053087],"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":[0.00010870803,0.000026063775,0.992762,0.0000036046029,0.00004865509,0.0000017773909,0.0033268873,0.00008518989,0.00022615452,0.000016377538,9.4467407e-7,0.0033936247],"study_design_scores_gemma":[0.00018766726,0.00011519589,0.9779667,0.000009028439,0.000014507183,6.8079447e-7,0.00095924834,0.020212607,0.00014902448,0.00032955204,0.000010773369,0.000044980126],"about_ca_topic_score_codex":0.023066906,"about_ca_topic_score_gemma":0.007345039,"teacher_disagreement_score":0.020127418,"about_ca_system_score_codex":0.0000016024884,"about_ca_system_score_gemma":0.000007462276,"threshold_uncertainty_score":0.98343855},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962214,0.00084617716,0.00025846573,0.0009640706,0.00044613154,0.00024124666,0.00009278596,0.000018778368,0.0009109305],"genre_scores_gemma":[0.998865,0.00023938554,0.00008218699,0.00034224184,0.00025640396,2.5142532e-7,0.000032271655,0.000002905752,0.00017935902],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99918956,0.000063533145,0.00015541576,0.00012179862,0.00027913,0.0001905376],"domain_scores_gemma":[0.999538,0.00008081066,0.00007292042,0.00018644077,0.000047631107,0.00007416948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020924803,0.00010402199,0.00011234402,0.0000284855,0.00044515124,0.000039853774,0.00014033407,0.000048704984,0.00007340743],"category_scores_gemma":[0.000041335818,0.0000494975,0.000032892265,0.00008446734,0.00006399537,0.000079281184,0.000011183205,0.00010134365,0.000014910202],"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":[0.0008715162,0.000049435752,0.050426524,0.00015829859,0.00021456038,0.000030426569,0.061017193,0.001900703,0.001820244,0.0011354348,0.05420078,0.8281749],"study_design_scores_gemma":[0.00087560964,0.0005025337,0.87170625,0.00007544286,0.00005278965,0.00022176925,0.0011598875,0.024393182,0.0064823274,0.0015067194,0.09267014,0.00035332612],"about_ca_topic_score_codex":0.0012749285,"about_ca_topic_score_gemma":0.0042281444,"teacher_disagreement_score":0.82782155,"about_ca_system_score_codex":0.000003749389,"about_ca_system_score_gemma":0.000022381762,"threshold_uncertainty_score":0.34237882},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98811626,0.0000073397896,0.000013749677,0.0001398102,0.0009973701,0.00011431861,0.0000061163123,0.00003860719,0.010566407],"genre_scores_gemma":[0.9989027,0.0000037772068,0.00011763148,0.000045134337,0.00017583833,5.929833e-8,0.00008666262,0.0000035762741,0.000664643],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992278,0.000105683306,0.00013781052,0.00016288967,0.0001888583,0.0001769613],"domain_scores_gemma":[0.99948376,0.00020619144,0.000043911175,0.0001700059,0.000030713738,0.000065401444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004675235,0.000101180834,0.00014115169,0.00007173287,0.00007965473,0.000027801165,0.00006193604,0.000120698685,0.00030339064],"category_scores_gemma":[0.000064016764,0.000058605303,0.00005577833,0.00006678555,0.00003913134,0.000082210754,0.000002888456,0.00021466466,0.00036438575],"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":[0.0009781021,0.000050886407,0.30511218,0.00009035911,0.00003873622,0.000040141265,0.00038728985,0.0008689629,0.4623364,0.000024646972,0.00016633532,0.22990596],"study_design_scores_gemma":[0.00037397284,0.0003661596,0.85351527,0.000012520149,0.000019890456,0.000018250359,0.000006422083,0.008732225,0.13536002,0.00006276342,0.0014374764,0.00009502423],"about_ca_topic_score_codex":0.0005512584,"about_ca_topic_score_gemma":0.00044196923,"teacher_disagreement_score":0.5484031,"about_ca_system_score_codex":0.0000015702404,"about_ca_system_score_gemma":0.000008001185,"threshold_uncertainty_score":0.4683563},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837398,0.0016781248,0.00046939024,0.0058049285,0.0000884408,0.00017030923,0.000023583558,0.000024095027,0.008001353],"genre_scores_gemma":[0.9934151,0.00009954225,0.002473058,0.0037394296,0.00012529285,2.9856577e-7,0.00008174868,0.0000014624068,0.000064023785],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99871725,0.0005372757,0.00017673924,0.00021997977,0.00013411713,0.00021465505],"domain_scores_gemma":[0.9991126,0.0005749455,0.00003969488,0.00019923426,0.000022829425,0.000050717335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006170575,0.000119493,0.00014656647,0.000027578357,0.00033794378,0.00015078265,0.0001952503,0.00007106513,0.00016265131],"category_scores_gemma":[0.00016025465,0.000055746506,0.000038178387,0.000252175,0.00010512695,0.00010585198,0.000009051826,0.0002355762,0.000032280805],"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":[0.00004764618,0.000065206,0.30731475,0.0000026981636,0.000045057663,0.00007166676,0.016950665,0.0030589022,0.00028663527,0.0017928666,0.0010007623,0.66936314],"study_design_scores_gemma":[0.00020402086,0.00007803706,0.9714269,0.000012523968,0.000012952817,0.000021912629,0.0012700218,0.012896371,0.000023057908,0.0031462312,0.010796127,0.00011181844],"about_ca_topic_score_codex":0.0030624205,"about_ca_topic_score_gemma":0.0053571155,"teacher_disagreement_score":0.6692513,"about_ca_system_score_codex":0.0000024677265,"about_ca_system_score_gemma":0.000026711266,"threshold_uncertainty_score":0.4629484},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948139,0.00020527885,0.0001483123,0.0023468826,0.00007679127,0.0002547913,0.0000019579575,0.000082452585,0.0020696174],"genre_scores_gemma":[0.9992834,0.00009138473,0.0002522365,0.00020280853,0.000026273028,0.0000018697518,0.0000016944987,0.0000025475356,0.00013778519],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836993,0.000044626468,0.0000914044,0.0004524863,0.00033341596,0.00070815714],"domain_scores_gemma":[0.99938565,0.00014355958,0.000028477263,0.00021706517,0.00012977098,0.00009549277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008998897,0.00010192133,0.00010653893,0.00064993027,0.00061577,0.00012211142,0.00019904347,0.00012764742,0.00005320272],"category_scores_gemma":[0.00014061967,0.000072877556,0.000009203756,0.0013886311,0.00085799093,0.00013109302,0.000016825099,0.00046502287,0.000086604545],"study_design_candidate":"design_other","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":[0.000014837989,0.000010858379,0.00045537215,0.0000016913049,0.0000016883805,0.0000016620982,0.000017748105,0.00002894352,0.0033105526,0.00013955335,0.000044691955,0.9959724],"study_design_scores_gemma":[0.00053503003,0.0044643893,0.039131407,0.000018250279,0.000003843799,0.00004861719,0.0005546157,0.9096428,0.036239766,0.0035463257,0.0055926912,0.00022224121],"about_ca_topic_score_codex":0.0012833425,"about_ca_topic_score_gemma":0.001141991,"teacher_disagreement_score":0.9957501,"about_ca_system_score_codex":0.000026296333,"about_ca_system_score_gemma":0.00021455715,"threshold_uncertainty_score":0.4736067},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836862,0.00011904201,0.0026341034,0.000745328,0.0005059099,0.00025193117,0.00012715756,0.00018062314,0.011749704],"genre_scores_gemma":[0.9941538,0.000009006852,0.0036556425,0.00093588844,0.0005412134,9.2560526e-8,0.00042278614,0.000013491999,0.00026806988],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997856,0.00015155162,0.00028162653,0.00066355604,0.00049269956,0.0005545223],"domain_scores_gemma":[0.99839264,0.000099345605,0.00013767922,0.0010663125,0.000050704744,0.0002532923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040503615,0.00031510575,0.00028344663,0.0002263467,0.00041546123,0.00022101199,0.00047753318,0.0001419277,0.00035340435],"category_scores_gemma":[0.00005596206,0.00023310946,0.000057665995,0.00046394928,0.000069129914,0.00051596755,0.000015847849,0.00034360558,0.00017884934],"study_design_candidate":"design_other","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":[0.0027280352,0.00037193828,0.15258749,0.00009577835,0.00011122294,0.00072610966,0.00046861742,0.04358756,0.0016588345,0.000038537797,0.0014767661,0.79614913],"study_design_scores_gemma":[0.0015340215,0.0013770729,0.3064964,0.00022207786,0.00009121965,0.00017172073,0.000058245118,0.6581263,0.0032752247,0.00008883882,0.02782393,0.0007349362],"about_ca_topic_score_codex":0.0021700517,"about_ca_topic_score_gemma":0.0050355177,"teacher_disagreement_score":0.79541415,"about_ca_system_score_codex":0.000015611999,"about_ca_system_score_gemma":0.000113924514,"threshold_uncertainty_score":0.9505928},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785237,0.00037854235,0.014784649,0.00007425448,0.00093431416,0.00020466092,0.000027112155,0.000053830736,0.005018947],"genre_scores_gemma":[0.99506557,0.000021769078,0.0045730714,0.000009544866,0.00015915291,1.12869614e-7,0.000082931205,0.0000022707936,0.000085579115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961287,0.000025604164,0.00010490056,0.00007253997,0.000067852256,0.00011622376],"domain_scores_gemma":[0.9997356,0.00005894965,0.0000653003,0.000057566045,0.00003121498,0.000051352643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019183199,0.00005024003,0.00008264933,0.00003769266,0.00007104392,0.000016093214,0.000016681328,0.000054644217,0.000015487703],"category_scores_gemma":[0.000022583366,0.000040274,0.000020504644,0.000051257633,0.000011925158,0.00018481833,0.0000011017676,0.00002906632,0.000004535702],"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":[0.0007777939,0.00010428939,0.6945278,0.0009183526,0.00013244407,0.0000026202447,0.0024065934,0.09723097,0.014599407,0.00088989927,0.00042180505,0.187988],"study_design_scores_gemma":[0.00044678352,0.00008841956,0.68830466,0.000037750622,0.000045839985,0.000050563624,0.00068645267,0.30573696,0.0025911937,0.000030272366,0.0018618789,0.00011923759],"about_ca_topic_score_codex":0.00042523092,"about_ca_topic_score_gemma":0.00004681006,"teacher_disagreement_score":0.20850597,"about_ca_system_score_codex":0.0000030706658,"about_ca_system_score_gemma":0.0000067143706,"threshold_uncertainty_score":0.16423261},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987615,0.0000115826815,0.000028198014,0.0007144902,0.000042184365,0.00014678056,0.000010461139,0.000017541432,0.00026730346],"genre_scores_gemma":[0.9997192,0.0000020356229,0.0000071923077,0.000086925196,0.0000840531,2.8830094e-8,0.00006776686,0.0000014338952,0.000031335898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943495,0.00010059676,0.00009546198,0.00012652969,0.00014270713,0.000099749144],"domain_scores_gemma":[0.99955106,0.00025649558,0.00003363045,0.000114014256,0.0000023381397,0.000042482898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012370762,0.000074920965,0.0000718037,0.000026994418,0.00019493182,0.000046178302,0.00003953339,0.000028929255,0.000021289126],"category_scores_gemma":[0.000034949324,0.00004217623,0.00001558078,0.0000332011,0.0000131953475,0.00003479161,0.0000019689119,0.000097790646,0.000029893863],"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":[0.00000441818,0.000008461795,0.9865152,3.2573874e-7,0.0000033050464,0.0000014345919,0.00049145875,0.00011804022,0.0000012932026,0.0000027469234,0.0000043155046,0.012848994],"study_design_scores_gemma":[0.00011461561,0.00019977006,0.99855936,0.0000049135438,0.000009678824,3.6233558e-7,0.00022402851,0.00043895235,0.0000072489943,0.00035968985,0.000020058978,0.00006129876],"about_ca_topic_score_codex":0.003341877,"about_ca_topic_score_gemma":0.000733619,"teacher_disagreement_score":0.012787695,"about_ca_system_score_codex":0.0000024542583,"about_ca_system_score_gemma":0.0000022285499,"threshold_uncertainty_score":0.50519407},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99498,0.0007749199,0.00015246091,0.00025463285,0.000058391015,0.00012901332,0.000033304663,0.000016375729,0.0036009212],"genre_scores_gemma":[0.99886924,0.00006892426,0.0006960775,0.000040875006,0.00008268993,1.0357736e-7,0.00012707146,0.0000026943515,0.00011232226],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99933964,0.00007786094,0.00015676295,0.00017251048,0.00010033048,0.00015288967],"domain_scores_gemma":[0.9997288,0.00006814721,0.000044699045,0.00010746763,0.000015625503,0.00003528618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003911472,0.000100562866,0.00015924772,0.00010775378,0.00004440525,0.000020402871,0.00003841478,0.000052364005,0.0000899751],"category_scores_gemma":[0.00000511351,0.00007388178,0.000029315703,0.00012363849,0.00004863124,0.000032915857,0.0000039891775,0.00006578083,0.0000073265837],"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":[0.0005757347,0.00015433025,0.3549353,0.00014774925,0.000059508042,0.0001424817,0.004984766,0.048871376,0.0067786695,0.00004880361,0.00045238045,0.5828489],"study_design_scores_gemma":[0.00058792304,0.00020799387,0.99006987,0.000037236357,0.000012852478,0.0000196361,0.000080604266,0.0036231864,0.0010617424,0.0021124913,0.002082242,0.000104222956],"about_ca_topic_score_codex":0.009214391,"about_ca_topic_score_gemma":0.035692737,"teacher_disagreement_score":0.6351346,"about_ca_system_score_codex":0.0000029303726,"about_ca_system_score_gemma":0.000016206133,"threshold_uncertainty_score":0.99738336},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968451,0.00005346471,0.00011036307,0.00003302098,0.00006662738,0.0001838679,0.0000072413854,0.00001036984,0.0026899169],"genre_scores_gemma":[0.9996588,0.0000068750605,0.00023884249,0.00005883414,0.000026416008,8.9824006e-8,0.0000036437418,0.000002630347,0.0000038522307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984963,0.00017890679,0.00059724215,0.0002773017,0.00020686687,0.00024338358],"domain_scores_gemma":[0.99802566,0.0013166206,0.000260187,0.0002983704,0.000043221662,0.000055960496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007991716,0.00014633844,0.00051392004,0.0003817615,0.000111110036,0.000025622345,0.00019743839,0.000088272565,0.00024376964],"category_scores_gemma":[0.00019088866,0.000090999914,0.00012723952,0.00080253277,0.00006110683,0.00007204307,0.000014395574,0.00018676952,0.0000036823562],"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":[0.0005193675,0.0005140591,0.8254686,0.000022879398,0.00022422554,0.0011210497,0.0055695805,0.07508032,0.0001197371,0.000117189644,0.000017159544,0.09122583],"study_design_scores_gemma":[0.00059853075,0.0010063796,0.9322459,0.00013235456,0.00015750725,0.00009332608,0.00863726,0.055717267,0.0002621923,0.0009581148,0.000010967059,0.00018021095],"about_ca_topic_score_codex":0.0006606557,"about_ca_topic_score_gemma":0.004780297,"teacher_disagreement_score":0.10677729,"about_ca_system_score_codex":0.000007738857,"about_ca_system_score_gemma":0.000020739579,"threshold_uncertainty_score":0.3710869},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996643,0.0003918399,0.00012334566,0.00031331,0.00009222722,0.000057152236,0.0000089761925,0.000006325452,0.0023638387],"genre_scores_gemma":[0.99934953,0.00009564006,0.00040112302,0.000027090067,0.00006674449,3.3809624e-8,0.00000156863,0.0000033699055,0.00005492151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863744,0.00010977398,0.00062914775,0.00011893861,0.00028238836,0.0002223167],"domain_scores_gemma":[0.9993521,0.0001270505,0.00023773688,0.000111599715,0.000076383505,0.00009512224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061591057,0.00010572765,0.00040164887,0.00041897522,0.00005444711,0.000016369753,0.0001442787,0.000102904865,0.000115312156],"category_scores_gemma":[0.00006085735,0.00006391295,0.00010731185,0.00026490018,0.00011862501,0.00010315715,0.000011510012,0.00025808788,0.0000014377877],"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":[0.0068368735,0.0008270415,0.8517823,0.00045658572,0.00058828894,0.0005817831,0.0065832855,0.008148889,0.045304853,0.0005249125,0.0155512355,0.06281391],"study_design_scores_gemma":[0.00814906,0.010820793,0.8612747,0.0010030788,0.00035237524,0.0043190834,0.0010679432,0.02711405,0.019960962,0.00890618,0.05597893,0.0010528329],"about_ca_topic_score_codex":0.00029009298,"about_ca_topic_score_gemma":0.0003020427,"teacher_disagreement_score":0.061761074,"about_ca_system_score_codex":0.000003817783,"about_ca_system_score_gemma":0.00001946698,"threshold_uncertainty_score":0.26062945},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99625576,0.0008399493,0.0000066465427,0.0002279598,0.0003021854,0.00008353889,0.00005994911,0.000028155935,0.0021958526],"genre_scores_gemma":[0.9993147,0.00014831309,0.00023611273,0.000130702,0.000070111455,2.6478498e-8,0.000038536866,0.0000019107622,0.00005958645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991012,0.000071182054,0.00026132318,0.00017376585,0.0002262443,0.00016623645],"domain_scores_gemma":[0.99935514,0.00020983595,0.00013114412,0.00019176907,0.000040699604,0.00007139697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010445115,0.00012309376,0.0003146419,0.00004598937,0.00005097831,0.000012409029,0.0000888812,0.00006342556,0.00005072219],"category_scores_gemma":[0.00008939492,0.0000823888,0.00006549279,0.000066890345,0.000055394485,0.000038298538,0.0000038534554,0.000098099714,0.00001524773],"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":[0.0015655924,0.0008317833,0.6495762,0.00016956168,0.0006073873,0.0002738621,0.009107319,0.017971983,0.03216044,0.0006473575,0.000852551,0.286236],"study_design_scores_gemma":[0.0002962525,0.0003988274,0.9774227,0.00009107109,0.000021381733,0.0000014514009,0.00016797484,0.00360853,0.015422021,0.0023580478,0.00010586753,0.00010583802],"about_ca_topic_score_codex":0.00061984826,"about_ca_topic_score_gemma":0.0007095028,"teacher_disagreement_score":0.32784656,"about_ca_system_score_codex":0.0000025346856,"about_ca_system_score_gemma":0.000016024573,"threshold_uncertainty_score":0.33597177},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99430156,0.0001270812,0.000017723276,0.000034292185,0.00010774106,0.00010503978,0.000010646888,0.000012605235,0.0052833213],"genre_scores_gemma":[0.998814,0.000022414202,0.00020988255,0.000026168393,0.000033261145,1.2006462e-8,0.00000886786,0.0000015411839,0.00088384916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993164,0.000083895524,0.0001893229,0.0001321182,0.00018104496,0.000097252196],"domain_scores_gemma":[0.99957085,0.00010637959,0.00007945727,0.00015824173,0.000021438209,0.00006361612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021884275,0.0000691197,0.00018316128,0.000030806692,0.000053840296,0.0000047712456,0.000057053192,0.000035838373,0.000018643246],"category_scores_gemma":[0.00005006808,0.0000499663,0.000030565534,0.000079167905,0.00005606002,0.00003695987,0.000005933967,0.000064610096,0.0000072305575],"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":[0.00024153032,0.000057360066,0.9912862,0.000011521801,0.000017458227,0.000005684399,0.0031213004,0.00016831815,0.000041597363,0.0000033819645,0.00008457384,0.0049610743],"study_design_scores_gemma":[0.0005045753,0.0008112614,0.9972337,0.000009888361,0.000010048179,0.0000066296116,0.00046822827,0.0006672455,0.000127129,0.000046097903,0.00005498931,0.000060234568],"about_ca_topic_score_codex":0.014305131,"about_ca_topic_score_gemma":0.0007175432,"teacher_disagreement_score":0.0135875875,"about_ca_system_score_codex":8.0972745e-7,"about_ca_system_score_gemma":0.000037394202,"threshold_uncertainty_score":0.99225867},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98939365,0.0003044836,0.0062209717,0.00083350873,0.0006900973,0.00033289395,0.00011687417,0.000030268595,0.002077223],"genre_scores_gemma":[0.9935494,0.000045964294,0.0057686297,0.00039987857,0.00012681578,2.792435e-7,0.000073388386,0.000008556566,0.000027060063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828786,0.0003522935,0.0004908371,0.00020802136,0.0002765856,0.00038440642],"domain_scores_gemma":[0.99882054,0.00039502102,0.000269525,0.00030385095,0.00004599697,0.00016508876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088145956,0.00019284205,0.00034650898,0.00028118424,0.00011005379,0.00004326909,0.0001456478,0.000104830106,0.00050681154],"category_scores_gemma":[0.00006657612,0.00015535664,0.000089985835,0.00028811165,0.00006171227,0.00017058536,0.0000069013927,0.00022089468,0.000020918118],"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":[0.00055222714,0.00022596115,0.14050542,0.00006956418,0.000023924691,0.00019575714,0.0008863414,0.8525975,0.000053824886,0.000012434671,0.0027012778,0.0021757921],"study_design_scores_gemma":[0.0043714177,0.0013965104,0.082588196,0.0009386451,0.0001021215,0.00029526307,0.0014377339,0.90353525,0.0037553597,0.0000601776,0.00082776794,0.0006915319],"about_ca_topic_score_codex":0.002007364,"about_ca_topic_score_gemma":0.00043397283,"teacher_disagreement_score":0.057917222,"about_ca_system_score_codex":0.00001132479,"about_ca_system_score_gemma":0.00005012352,"threshold_uncertainty_score":0.63352597},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99553126,0.000090755646,0.000670432,0.000017582845,0.00007490792,0.000018238272,0.0000054779716,0.000010299941,0.003581024],"genre_scores_gemma":[0.9975274,0.000015978198,0.0023101154,0.000001981696,0.0000072815233,7.666874e-9,0.000027562237,5.599702e-7,0.00010910566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995867,0.000023056207,0.00013026802,0.00007238041,0.00012422506,0.00006335137],"domain_scores_gemma":[0.99968374,0.000043556298,0.000060078477,0.00011099835,0.000055618475,0.000046007146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020331268,0.00003422979,0.000118635515,0.00011555712,0.000016114282,0.0000075004,0.000051002793,0.000022833237,0.000055428874],"category_scores_gemma":[0.000034144992,0.000023870569,0.00003820693,0.00038199435,0.00001719506,0.00005061339,0.0000020175844,0.000023966384,0.0000038120354],"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":[0.000010296553,0.0000037651052,0.9683538,0.0000030491572,0.000052527324,2.6445875e-7,0.00014310773,0.013648011,0.00014495173,6.729645e-7,0.0000026980345,0.017636836],"study_design_scores_gemma":[0.000047839232,0.000014809075,0.8123496,0.000004023519,0.0000738779,2.773148e-7,0.00013218477,0.18644598,0.0008579743,0.00003165814,0.000015412386,0.000026378599],"about_ca_topic_score_codex":0.008368312,"about_ca_topic_score_gemma":0.0028354502,"teacher_disagreement_score":0.17279796,"about_ca_system_score_codex":0.0000016091587,"about_ca_system_score_gemma":0.000013255068,"threshold_uncertainty_score":0.99823505},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99383557,0.00005653867,0.003173595,0.00003351767,0.00019260171,0.000037132384,0.00005375192,0.0000047024682,0.002612591],"genre_scores_gemma":[0.9988845,0.000070788716,0.0007906452,0.000015922435,0.000025850586,7.853831e-10,0.000026618407,0.0000010477477,0.0001846519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992365,0.00011943241,0.00023000945,0.000078154364,0.00023744298,0.000098444776],"domain_scores_gemma":[0.99922216,0.000068867594,0.00037450469,0.00008504465,0.00015553931,0.00009389413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002883275,0.000068374946,0.0001849249,0.00020042185,0.00006731071,0.000009922209,0.00015215256,0.000047233385,0.00025602468],"category_scores_gemma":[0.00003885105,0.00005236931,0.00008411095,0.0001857029,0.000045549965,0.00026905557,0.0000067761716,0.00010408157,0.00000474235],"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":[0.00054500403,0.00022937587,0.89149964,0.00005262941,0.00008079279,0.000048494952,0.0011256726,0.000009807372,0.0037375912,0.00012889992,0.0011045876,0.1014375],"study_design_scores_gemma":[0.0005016659,0.0002402877,0.9930789,0.000022198528,0.000043232576,0.000016298907,0.00055984285,0.0008535601,0.0037410646,0.000081139144,0.00078304217,0.000078759724],"about_ca_topic_score_codex":0.0016752016,"about_ca_topic_score_gemma":0.00043520742,"teacher_disagreement_score":0.101579264,"about_ca_system_score_codex":0.000014372307,"about_ca_system_score_gemma":0.000027437529,"threshold_uncertainty_score":0.28032908},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732894,0.00055832067,0.011812904,0.000021861364,0.0015005927,0.0003770409,0.000012296569,0.00010132666,0.012326282],"genre_scores_gemma":[0.9863658,0.00001607712,0.012989955,0.000011350286,0.00030858454,0.0000010091418,0.00026871962,0.000014057624,0.000024464593],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969864,0.00058914867,0.0006279912,0.00045655522,0.0009461872,0.0003937521],"domain_scores_gemma":[0.9982644,0.00016775166,0.00052356144,0.00039613253,0.00053424697,0.0001139136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021765518,0.00024465955,0.0003349409,0.0002877875,0.0003271187,0.00008392232,0.00019636774,0.00019269764,0.00016952296],"category_scores_gemma":[0.00044815644,0.00023538884,0.00010227477,0.00043788084,0.0001245482,0.00051247055,0.00001428924,0.0002670635,0.000090897665],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016614594,0.00039511512,0.3149406,0.0003966493,0.00052437856,0.000012640491,0.020609375,0.053822394,0.0354626,0.00041984426,0.00044833357,0.57130665],"study_design_scores_gemma":[0.00092561217,0.00011281233,0.43260923,0.00008999508,0.00020160334,0.000003405568,0.00055930763,0.563527,0.0014851606,0.00020197747,0.000084137806,0.00019976097],"about_ca_topic_score_codex":0.012568721,"about_ca_topic_score_gemma":0.0036763,"teacher_disagreement_score":0.57110685,"about_ca_system_score_codex":0.000081730475,"about_ca_system_score_gemma":0.00020927319,"threshold_uncertainty_score":0.9940067},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938866,0.0005246392,0.00038208687,0.00014717199,0.00014328687,0.00014679029,0.0000038521816,0.000021033375,0.004744559],"genre_scores_gemma":[0.9983583,0.000031754164,0.0012342421,0.00008896735,0.000083337225,2.5574946e-7,0.000014488896,0.0000036629915,0.00018497801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991375,0.00008867381,0.00020989792,0.0001901991,0.00013545867,0.00023824527],"domain_scores_gemma":[0.9995386,0.00016942073,0.000059367685,0.00013152021,0.000023610284,0.0000774636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021977576,0.000106079904,0.00017797553,0.00013064241,0.000055714754,0.00006789579,0.000086095875,0.00007417511,0.0004614486],"category_scores_gemma":[0.000029434765,0.00008221373,0.00002367019,0.00014107459,0.000045510747,0.00021450115,0.000007100748,0.00011319686,0.00010332638],"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":[0.00005737647,0.00001433582,0.9641247,0.000025408299,0.000014002588,0.000047648155,0.0013025593,0.003274124,0.0003011113,0.000005592556,0.0051915525,0.02564159],"study_design_scores_gemma":[0.0004240472,0.00013491054,0.9625215,0.00006750469,0.0000071631107,0.000022308493,0.00042886476,0.035347704,0.00022328057,0.00045184942,0.00022951233,0.0001413621],"about_ca_topic_score_codex":0.006969047,"about_ca_topic_score_gemma":0.000852333,"teacher_disagreement_score":0.03207358,"about_ca_system_score_codex":0.0000010884204,"about_ca_system_score_gemma":0.000021011014,"threshold_uncertainty_score":0.9996436},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960405,0.00020740415,0.0000767457,0.00096830743,0.0000891158,0.000055847253,0.000015795746,0.000018414421,0.002527817],"genre_scores_gemma":[0.9972957,0.00038712576,0.0005112146,0.00007662507,0.00020767769,2.4211857e-8,0.000030228844,0.0000016768912,0.0014897244],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99950767,0.000023710736,0.00012520868,0.00014893645,0.000077848104,0.00011661919],"domain_scores_gemma":[0.9997922,0.00002462644,0.000038146518,0.0000445503,0.000025977331,0.0000745083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012226605,0.00006857699,0.00011835618,0.000032425844,0.00006157805,0.000028272772,0.000026157808,0.00004062138,0.00061210955],"category_scores_gemma":[0.000033225147,0.000049813236,0.000012118602,0.000079144585,0.000031904434,0.00009483122,0.0000037190039,0.000052919597,0.00001605482],"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":[0.00021964188,0.000040642466,0.22465,0.000096306925,0.000048487145,0.000023198083,0.0009702445,0.00004472611,0.003768391,0.0003816485,0.004720936,0.7650358],"study_design_scores_gemma":[0.00020557382,0.0001102088,0.96613055,0.0000049079927,0.0000158585,0.00013158946,0.000078007986,0.0122317225,0.0002667282,0.000107641805,0.020623064,0.00009415008],"about_ca_topic_score_codex":0.00043703517,"about_ca_topic_score_gemma":0.00035619308,"teacher_disagreement_score":0.76494163,"about_ca_system_score_codex":5.5734733e-7,"about_ca_system_score_gemma":0.000007901864,"threshold_uncertainty_score":0.67021704},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938425,0.00011793772,0.000015545796,0.000054862136,0.00016699378,0.00008904011,0.000099773795,0.00000734454,0.0056059905],"genre_scores_gemma":[0.99955046,0.000081274295,0.00015954605,0.000033205044,0.000021986149,7.336114e-8,0.000019345773,0.0000043199507,0.00012976433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908173,0.000081366394,0.00031681216,0.00013234012,0.00021349364,0.00017424928],"domain_scores_gemma":[0.9993084,0.00009517229,0.00022414324,0.0002549945,0.00007839124,0.00003887056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001232827,0.0001221967,0.00034085964,0.00007912847,0.00003668918,0.000006770144,0.00018963907,0.000053132804,0.0001262094],"category_scores_gemma":[0.000033741773,0.00006783281,0.000062861145,0.00015913359,0.00023911709,0.00004962681,0.00001268694,0.000111240806,0.0000031415432],"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":[0.0001304159,0.000054863656,0.99319816,0.00011321723,0.000024567335,0.0000061098,0.004035921,0.000011157719,0.00016915888,0.00012893406,0.000056520345,0.0020710074],"study_design_scores_gemma":[0.00026886637,0.0001925446,0.9930183,0.00016230524,0.00002740695,0.000009910449,0.00088890607,0.00051286,0.004651424,0.000094372524,0.00008057315,0.00009247412],"about_ca_topic_score_codex":0.023167001,"about_ca_topic_score_gemma":0.012504179,"teacher_disagreement_score":0.010662822,"about_ca_system_score_codex":0.0000023851185,"about_ca_system_score_gemma":0.0000396203,"threshold_uncertainty_score":0.9833378},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984702,0.00016562013,0.000022032618,0.00003340495,0.00010135763,0.00007701289,0.000026717951,0.000009252335,0.0010944217],"genre_scores_gemma":[0.999527,0.000028857152,0.00025163827,0.000099681885,0.00003075878,2.4499617e-8,0.00005530393,0.0000020187676,0.0000047579997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924797,0.00009035575,0.00021750254,0.00018395112,0.000069262016,0.0001909373],"domain_scores_gemma":[0.9995572,0.00008258517,0.00009567219,0.00021100191,0.000009100845,0.00004446898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027572073,0.00008801206,0.00020631877,0.00031451593,0.000060293936,0.000062898165,0.00011288034,0.00004803463,0.00053276913],"category_scores_gemma":[0.0000048670286,0.00006534507,0.00014684197,0.00035789376,0.00005881489,0.00010763908,0.000005636441,0.00008862939,0.000046376863],"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":[0.0000022422616,0.000006162694,0.96443295,0.000001708783,0.00008222063,0.0000016628835,0.0003874971,0.011378113,0.000054846016,4.1827533e-7,0.0005580646,0.023094108],"study_design_scores_gemma":[0.000086389125,0.000015595426,0.85186994,0.0000058337505,0.000057967372,0.0000016763456,0.00020321738,0.1471799,0.000018844648,0.000033010012,0.0004501538,0.00007744042],"about_ca_topic_score_codex":0.044925872,"about_ca_topic_score_gemma":0.004358619,"teacher_disagreement_score":0.13580179,"about_ca_system_score_codex":0.0000029088583,"about_ca_system_score_gemma":0.000010959546,"threshold_uncertainty_score":0.96143407},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15425184,0.000049975824,0.82868326,0.00020221747,0.000038368275,0.0003908132,0.000014936574,0.000050714458,0.016317902],"genre_scores_gemma":[0.8844312,0.0000051167062,0.11455342,0.00074378995,0.0001067286,7.010763e-7,0.000090284724,0.0000024635974,0.000066307344],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99945235,0.000020138577,0.00016650908,0.00014329515,0.00009402396,0.00012365554],"domain_scores_gemma":[0.99939615,0.00034234408,0.000058655733,0.0001337788,0.00002520137,0.00004386448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020958473,0.000067619265,0.00008702786,0.00008536227,0.00008648159,0.000019929485,0.00008945964,0.000037101654,0.0001137803],"category_scores_gemma":[0.0000010878381,0.000056044428,0.00004550027,0.00015366531,0.000015440182,0.00002925518,0.0000031928603,0.00006194941,0.000060315942],"study_design_candidate":"design_other","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":[0.00006925856,0.000026442767,0.015926577,0.0000141269375,0.0000066170765,0.0000010964824,0.0000845992,0.003335125,0.0015078025,0.000008408779,0.00065497274,0.97836494],"study_design_scores_gemma":[0.003887544,0.00043551606,0.5366646,0.0001101748,0.00005746502,0.00002208835,0.00016222948,0.22816537,0.09719125,0.00046668306,0.13223651,0.00060054334],"about_ca_topic_score_codex":0.00032505635,"about_ca_topic_score_gemma":0.0001952918,"teacher_disagreement_score":0.9777644,"about_ca_system_score_codex":0.0000028135005,"about_ca_system_score_gemma":0.000015112638,"threshold_uncertainty_score":0.22854254},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770325,0.00057645916,3.9968802e-7,0.0005401525,0.00019824662,0.00008005269,0.000019835368,0.00001815466,0.00086346443],"genre_scores_gemma":[0.9989281,0.00055894983,0.00015080917,0.00013841565,0.00008501571,3.114133e-7,0.000047407637,0.0000032064866,0.00008776597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992122,0.000050073377,0.00018606838,0.00024680878,0.0001025354,0.00020232702],"domain_scores_gemma":[0.99967504,0.00005567207,0.00004259861,0.00013009932,0.000008454998,0.00008814465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037284518,0.000102922175,0.00016595933,0.00015898119,0.000039439907,0.00005834481,0.000041858315,0.00009418059,0.00044530642],"category_scores_gemma":[0.000051459305,0.00008108922,0.000017361353,0.00022115825,0.00004818456,0.00020070375,0.000008817091,0.00020820211,0.0000070559504],"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":[0.000027928172,0.000009990425,0.77290684,0.000007399212,0.0000053091044,0.00002762347,0.00079755246,0.0000056712674,0.00009886613,0.0000043895484,0.000058045043,0.22605038],"study_design_scores_gemma":[0.00036187362,0.0000377592,0.9917639,0.000010849871,0.000010262817,0.00001476622,0.000041747968,0.002910962,0.000028167862,0.0001237497,0.0045886263,0.000107351574],"about_ca_topic_score_codex":0.013269891,"about_ca_topic_score_gemma":0.31337738,"teacher_disagreement_score":0.3001075,"about_ca_system_score_codex":0.0000034873954,"about_ca_system_score_gemma":0.000009923675,"threshold_uncertainty_score":0.99330086},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906705,0.00019324057,0.00024143924,0.006102207,0.00070917455,0.000081960905,0.000050334893,0.000020121499,0.0019310032],"genre_scores_gemma":[0.99897283,0.0000800114,0.0007461688,0.00004068943,0.0000798981,9.159566e-8,0.000016633583,0.000003634427,0.000060016246],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983524,0.000058042504,0.00046459027,0.00016390748,0.0006282731,0.00033275082],"domain_scores_gemma":[0.99871737,0.00010570237,0.000376276,0.00032444167,0.0003966571,0.00007953926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046712847,0.00012617384,0.00038693595,0.0009626512,0.000172017,0.0000045974903,0.00042718995,0.00027086955,0.00004130754],"category_scores_gemma":[0.0004744351,0.000094433424,0.00007458336,0.0009470865,0.0006206685,0.00007127589,0.00001525907,0.00073124137,0.0000058670075],"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":[0.0029329301,0.00080224994,0.33123878,0.00021281157,0.00030158515,0.005849403,0.00009461865,0.12596796,0.002323366,0.0039652153,0.03908995,0.48722112],"study_design_scores_gemma":[0.0054743914,0.015141373,0.650411,0.0016122402,0.00008649168,0.003451388,0.0008232494,0.020553544,0.08784537,0.0029874744,0.21078093,0.00083255454],"about_ca_topic_score_codex":0.04165924,"about_ca_topic_score_gemma":0.10868775,"teacher_disagreement_score":0.48638856,"about_ca_system_score_codex":0.000049779188,"about_ca_system_score_gemma":0.0010470481,"threshold_uncertainty_score":0.96472245},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99911857,0.000027342734,0.000070872295,0.000076488664,0.000039904226,0.00008352351,0.00003799483,0.000009000809,0.0005362971],"genre_scores_gemma":[0.99951696,0.0000035799744,0.0003013844,0.000016541331,0.000056688423,5.442608e-8,0.000071642855,0.0000031253703,0.000030011639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990171,0.000084652565,0.00038075395,0.00019896345,0.00011139984,0.0002071301],"domain_scores_gemma":[0.9986468,0.00093868613,0.00019201478,0.0001455443,0.000014819458,0.00006212723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010702619,0.00011408564,0.00027634925,0.0002901308,0.00021733758,0.000033532062,0.00007758184,0.000075467426,0.000034041434],"category_scores_gemma":[0.000103977574,0.00008323925,0.000059585316,0.00034079092,0.0000834269,0.00009150276,0.0000101809355,0.0001699199,0.000003952396],"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":[0.000029514595,0.0000065344666,0.98741424,0.000009195279,0.00005372914,0.00003620375,0.0020709143,0.00074274227,0.0000013348482,0.00003861709,0.000004090231,0.009592856],"study_design_scores_gemma":[0.00017791796,0.00002511899,0.99809873,0.0000218264,0.000059627746,0.0000144434825,0.00030267838,0.00094565767,0.00013578465,0.000073635245,0.00004351568,0.00010107165],"about_ca_topic_score_codex":0.022760589,"about_ca_topic_score_gemma":0.24074969,"teacher_disagreement_score":0.2179891,"about_ca_system_score_codex":0.000012490973,"about_ca_system_score_gemma":0.00004063641,"threshold_uncertainty_score":0.98374695},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047387686,0.00011455919,0.9389595,0.0012902006,0.00006106936,0.00077877776,0.00030988152,0.00061004073,0.010488289],"genre_scores_gemma":[0.10875847,0.0000020831492,0.88742137,0.0010693893,0.0005230634,0.000003587019,0.0019037247,0.000009012001,0.0003093007],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992583,0.00003688301,0.000117544085,0.0002740771,0.00011537326,0.00019787239],"domain_scores_gemma":[0.999506,0.00004842081,0.000041862408,0.0002982791,0.000027687036,0.0000777387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067208086,0.00012499715,0.00010386029,0.0000759633,0.000204245,0.00013748226,0.00018647853,0.000060198236,0.00012793423],"category_scores_gemma":[1.2151462e-7,0.000100733974,0.000047066875,0.00020389368,0.00003452722,0.00007454991,0.0000029530925,0.00011217643,0.00047923042],"study_design_candidate":"design_other","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":[0.0000016220862,0.00007087054,0.0012361119,0.000007641552,0.000002991932,0.0000040555574,0.000018647443,0.0043813656,0.00028898686,0.000012860275,0.013802089,0.98017275],"study_design_scores_gemma":[0.0001751176,0.00004164133,0.07040604,0.000007738295,0.000007680977,0.000011524075,0.000004250184,0.7451994,0.00027769883,0.00031456965,0.1834131,0.00014122954],"about_ca_topic_score_codex":0.0005548938,"about_ca_topic_score_gemma":0.00014584529,"teacher_disagreement_score":0.98003155,"about_ca_system_score_codex":0.0000044811413,"about_ca_system_score_gemma":0.000023512108,"threshold_uncertainty_score":0.6159697},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973788,0.00034668072,0.000008182532,0.000022022396,0.00016696964,0.000049103204,0.000007548469,0.0000050655317,0.0020156212],"genre_scores_gemma":[0.99981123,0.00007391051,0.000016865011,0.000008937386,0.000017984748,5.1550085e-8,0.000009267013,0.0000016913345,0.000060073144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993157,0.000089174115,0.00019831512,0.00008562206,0.00014707452,0.0001641584],"domain_scores_gemma":[0.9997084,0.00008712385,0.000063689426,0.00010228299,0.00000977917,0.000028683677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001643745,0.000075237556,0.00019600161,0.00011410477,0.000013718524,0.000005126746,0.0000667117,0.00003209017,0.000013941435],"category_scores_gemma":[0.000013147198,0.000051156876,0.000022656603,0.00013902441,0.000039079016,0.000052357595,0.0000038474936,0.000059470865,0.0000014346431],"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":[0.000063139225,0.00017291559,0.99305946,0.000008239458,0.000006250479,0.0000025777713,0.0020454596,0.00059996493,0.00008599445,0.00019076305,0.0000010328743,0.00376418],"study_design_scores_gemma":[0.00028979618,0.00020057875,0.9922838,0.000026344405,0.0000035835094,5.777911e-7,0.0031626243,0.0031491178,0.0005265101,0.00029032715,0.0000057941816,0.000060914685],"about_ca_topic_score_codex":0.005351111,"about_ca_topic_score_gemma":0.05111996,"teacher_disagreement_score":0.045768853,"about_ca_system_score_codex":0.0000034721522,"about_ca_system_score_gemma":0.000008677498,"threshold_uncertainty_score":0.9661946},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745012,0.00015818162,0.000018690089,0.00025848913,0.00022887629,0.00009228595,0.000011544842,0.000057711986,0.024673002],"genre_scores_gemma":[0.99736625,0.000010711347,0.0013197198,0.000111344416,0.000061931954,1.18481516e-7,0.000014661738,0.0000043300647,0.0011109436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900633,0.00003774282,0.00023614234,0.0001925338,0.00024242711,0.0002847953],"domain_scores_gemma":[0.9995156,0.00006568889,0.00010684279,0.00024708593,0.0000321715,0.00003259912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000200808,0.00012695276,0.00015214065,0.000087060405,0.00027205015,0.000050223844,0.0002378118,0.00009216719,0.00014329678],"category_scores_gemma":[0.000026005742,0.00008171559,0.00003984604,0.00028688266,0.00010885145,0.00005948184,0.00001613309,0.00015744763,0.0000696011],"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":[0.000045066296,0.00003716161,0.86780477,0.00005638953,0.000032781343,0.000042054406,0.0003862583,0.009255485,0.00062225404,0.002294807,0.00086842093,0.11855458],"study_design_scores_gemma":[0.00025123992,0.00006103489,0.9322985,0.000113102746,0.000009326209,0.000022131491,0.0003526902,0.0009873806,0.009665404,0.0007176655,0.055334955,0.00018660349],"about_ca_topic_score_codex":0.00096496555,"about_ca_topic_score_gemma":0.0074590608,"teacher_disagreement_score":0.11836798,"about_ca_system_score_codex":0.000005160218,"about_ca_system_score_gemma":0.00009954232,"threshold_uncertainty_score":0.4162331},"labels":[],"label_agreement":null},{"id":"W2358221741","doi":"","title":"Spatial pattern on urban heat environment using split window algorithm and spectral mixture analysis based on Landsat 8 images:a case of Lanzhou City","year":2015,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Window (computing); Remote sensing; Urban heat island; Algorithm; Environmental science; Geography; Geology; Computer science; Meteorology","score_opus":0.018210491861657335,"score_gpt":0.2146119078338798,"score_spread":0.19640141597222247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358221741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942974,0.00008816166,0.0044338014,0.00012284439,0.0001249181,0.000104065875,0.00028110453,0.00001883251,0.00052891456],"genre_scores_gemma":[0.9980467,0.000009921173,0.001349742,0.00015767207,0.00018858768,6.333932e-8,0.00017580719,0.0000051046713,0.00006640128],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988268,0.000115268514,0.00018466651,0.00033164638,0.00028597418,0.00025562526],"domain_scores_gemma":[0.99933267,0.000081086415,0.00005957648,0.0002791699,0.000015590234,0.00023191389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023974985,0.000185354,0.00029704612,0.00015023544,0.000088719025,0.000044923494,0.00006589999,0.0000832319,0.00027801184],"category_scores_gemma":[0.000014880368,0.00013675836,0.0000965822,0.00015126038,0.0000718963,0.000047873553,0.000007753458,0.00014832066,0.000019409697],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020029175,0.00010815589,0.8295641,0.00002064361,0.00014991999,0.0012670178,0.00069133076,0.044666056,0.00008597945,2.5169786e-7,0.00030482144,0.12294144],"study_design_scores_gemma":[0.00086748594,0.00053175475,0.32752088,0.000025235022,0.00024358703,0.000106994026,0.000109194596,0.6687455,0.0013131608,0.000013632034,0.00027572285,0.00024683078],"about_ca_topic_score_codex":0.02748794,"about_ca_topic_score_gemma":0.0024352968,"teacher_disagreement_score":0.62407947,"about_ca_system_score_codex":0.000012192242,"about_ca_system_score_gemma":0.000025509818,"threshold_uncertainty_score":0.9789881},"labels":[],"label_agreement":null},{"id":"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99898475,0.00003995337,0.00008025114,0.00008105082,0.00011060992,0.00015559136,0.000041482883,0.000011117353,0.0004951895],"genre_scores_gemma":[0.9979049,0.00002702567,0.0018066869,0.000021568518,0.000080983606,2.5032753e-7,0.000042486663,0.0000024673427,0.00011362052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950594,0.000012231719,0.00017051223,0.00012004125,0.000096878946,0.000094379444],"domain_scores_gemma":[0.9996202,0.0000254221,0.000108666616,0.00015239006,0.000042523377,0.000050788112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009251489,0.000062290994,0.0001287111,0.000034289154,0.000031876003,0.0000121197045,0.00006166424,0.00005216637,0.000031709675],"category_scores_gemma":[0.000026055275,0.000048458547,0.000019951687,0.000086544875,0.000063278625,0.00002982835,0.0000045573015,0.0000857226,0.000010282322],"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":[0.0000248194,0.00002616903,0.867137,0.000046785386,0.000005121947,0.0000023690588,0.00019189093,0.0000060711986,0.06652656,0.000004528994,0.000008375393,0.06602031],"study_design_scores_gemma":[0.00013812607,0.00007428095,0.9910237,0.000007619209,0.000024133053,0.000013485561,0.000021999209,0.0062041553,0.002074504,0.000026699761,0.00033245573,0.00005881543],"about_ca_topic_score_codex":0.0013271028,"about_ca_topic_score_gemma":0.00068064255,"teacher_disagreement_score":0.12388673,"about_ca_system_score_codex":4.6044119e-7,"about_ca_system_score_gemma":0.000015509824,"threshold_uncertainty_score":0.20061912},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99826795,0.0000072579046,0.00013340525,0.00012705434,0.000091519134,0.000062129475,0.0000011003539,0.0000018722485,0.0013076917],"genre_scores_gemma":[0.99979717,0.000008778999,0.000116632655,0.000019488887,0.000027029037,4.9778354e-10,3.0105952e-7,9.4215073e-7,0.00002967656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993599,0.000108035456,0.00018264356,0.00005824691,0.00018217065,0.00010897569],"domain_scores_gemma":[0.99952173,0.00017566164,0.00015962399,0.00007245582,0.00003454515,0.000035984922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011320116,0.000050608676,0.00011822557,0.00027558586,0.000040269337,0.000007284878,0.00013313773,0.000034826877,0.000019568788],"category_scores_gemma":[0.000040721097,0.000033860986,0.000033403358,0.00025357914,0.000014789401,0.00011917774,0.000007027931,0.000202168,0.0000022793631],"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":[0.0002972864,0.00007267789,0.9804229,0.0000019578647,0.000011604869,0.00034005728,0.0023652948,0.0121760825,0.00006503826,0.00019678009,0.00001654896,0.0040337355],"study_design_scores_gemma":[0.00053701753,0.00017784309,0.99085295,0.00003218241,0.0000056005397,0.0000052119926,0.0056669684,0.0022970964,0.00017249523,0.00013975416,0.00007412368,0.000038758797],"about_ca_topic_score_codex":0.00472878,"about_ca_topic_score_gemma":0.017954148,"teacher_disagreement_score":0.013225369,"about_ca_system_score_codex":0.000017462791,"about_ca_system_score_gemma":0.000023299,"threshold_uncertainty_score":0.9999656},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981917,0.00018454793,0.000118784636,0.00035995003,0.0004082223,0.0000649152,0.000014924002,0.000009899694,0.00064706145],"genre_scores_gemma":[0.9991654,0.00041967785,0.000283789,0.000044149718,0.000037449623,7.726038e-8,0.000018314091,0.000002447897,0.00002867925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993804,0.000059195558,0.00017456574,0.00016951971,0.000047353613,0.00016897103],"domain_scores_gemma":[0.9995424,0.00013655389,0.00009705536,0.00017046659,0.000007765461,0.00004575702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039426156,0.000079685946,0.00013958242,0.00009718231,0.000103141516,0.000045080473,0.00008759791,0.000042710082,0.000025080082],"category_scores_gemma":[0.00001862435,0.000057132587,0.000039280258,0.000050986204,0.00007916684,0.00005258353,0.000010215291,0.000069779446,0.000022080018],"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":[0.00017818526,0.000016197084,0.7684142,0.000036162506,0.000034458775,0.000007839057,0.00027030538,0.0007649849,0.0003368906,0.0021309014,0.000119157914,0.2276907],"study_design_scores_gemma":[0.00016099354,0.000059879316,0.9411326,0.00001739209,0.000005529925,0.000005847677,0.00004038452,0.05314143,0.000049618262,0.004223468,0.0010856404,0.00007723621],"about_ca_topic_score_codex":0.002933865,"about_ca_topic_score_gemma":0.008465713,"teacher_disagreement_score":0.22761346,"about_ca_system_score_codex":0.0000015587358,"about_ca_system_score_gemma":0.000008644428,"threshold_uncertainty_score":0.47240666},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9329999,0.00058952085,0.062027633,0.00039240337,0.00075403793,0.00044168174,0.00010089836,0.00013528058,0.002558609],"genre_scores_gemma":[0.62181294,0.000032802225,0.37722695,0.00011982571,0.00022917037,0.0000011420833,0.00016988929,0.000017765704,0.00038952543],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983664,0.00018654541,0.0003301167,0.00045382988,0.000207962,0.0004551281],"domain_scores_gemma":[0.9988373,0.0002449327,0.00015005644,0.00031517897,0.00012157302,0.00033099003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010501656,0.00023722394,0.00034556034,0.0001249165,0.00025602168,0.0003261783,0.00016291502,0.00012472237,0.000058508595],"category_scores_gemma":[0.00027851536,0.00019413451,0.00007472908,0.00020746021,0.00010587556,0.00041739523,0.00002010559,0.00012318075,0.00003496653],"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":[0.00078767486,0.000104255145,0.07756128,0.00047938217,0.00022997017,0.00009294571,0.00502325,0.0024276192,0.16083764,0.00015486682,0.0076022865,0.7446988],"study_design_scores_gemma":[0.0015760934,0.0002299408,0.074456654,0.000081266684,0.00009922107,0.00015273754,0.0015088381,0.90054494,0.003136758,0.0014458788,0.016169278,0.0005983828],"about_ca_topic_score_codex":0.0016339116,"about_ca_topic_score_gemma":0.00077416946,"teacher_disagreement_score":0.8981173,"about_ca_system_score_codex":0.000016900618,"about_ca_system_score_gemma":0.00009552811,"threshold_uncertainty_score":0.79165757},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98378575,0.00003611258,0.00007209217,0.0026732564,0.00016035831,0.00020188275,0.000024644603,0.000038620426,0.013007285],"genre_scores_gemma":[0.9970986,0.000009176621,0.0002979332,0.00040787883,0.00015509626,3.8898995e-7,0.00013880253,0.0000031532945,0.0018889396],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989629,0.00008426974,0.00013740237,0.00016977012,0.00028297954,0.00036271542],"domain_scores_gemma":[0.9989292,0.00066953694,0.000021759008,0.0001794282,0.00007287072,0.00012718083],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012410247,0.00006424582,0.00005793412,0.00007176339,0.0008145066,0.000105786115,0.00014183756,0.000051719293,0.000033703443],"category_scores_gemma":[0.00010873319,0.00003384156,0.000019692074,0.00022729811,0.00006648481,0.000043038963,0.000008339011,0.00019533251,0.00086416386],"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":[0.0011444127,0.00030247302,0.21518674,0.00006676801,0.00015581855,0.000075012256,0.013107109,0.019960038,0.5005659,0.0007488367,0.10200224,0.14668468],"study_design_scores_gemma":[0.0004413642,0.0003711284,0.80910665,0.00004600852,0.0000073166034,0.000006380715,0.0013420883,0.010677977,0.060499646,0.00041885924,0.11683517,0.00024740334],"about_ca_topic_score_codex":0.001541916,"about_ca_topic_score_gemma":0.0011643334,"teacher_disagreement_score":0.59391993,"about_ca_system_score_codex":0.0000055458295,"about_ca_system_score_gemma":0.000012446791,"threshold_uncertainty_score":0.99991375},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9247517,0.00026050193,0.000523714,0.0009784205,0.00037617676,0.0002026948,0.000009774289,0.00002398921,0.07287304],"genre_scores_gemma":[0.99864924,0.000012116438,0.00028953954,0.00022284889,0.000023984043,3.970128e-8,0.0000086019045,0.0000016199998,0.0007919958],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99947035,0.0000965946,0.00009590784,0.00009578412,0.0001032614,0.00013811032],"domain_scores_gemma":[0.9995119,0.00029785733,0.000029557132,0.000111949805,0.000009271432,0.00003949589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020457663,0.00006686052,0.00008733561,0.000047248548,0.00003070897,0.000016153901,0.00007443983,0.00003201733,0.00050091796],"category_scores_gemma":[0.00009087991,0.000036896505,0.000015844314,0.00017783164,0.000023552584,0.000032482574,6.7222686e-7,0.000065660635,0.000108869244],"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":[0.00040360217,0.000059461254,0.23811848,0.00002336532,0.000044358192,0.00007278707,0.004109581,0.1479637,0.00007262493,0.0013435467,0.5866638,0.021124689],"study_design_scores_gemma":[0.0016951539,0.0005498907,0.86825144,0.00023395689,0.000030823332,0.00004436872,0.0015161097,0.056924608,0.0009975443,0.007118853,0.061975546,0.00066171715],"about_ca_topic_score_codex":0.0013811137,"about_ca_topic_score_gemma":0.00026327925,"teacher_disagreement_score":0.630133,"about_ca_system_score_codex":0.0000011939036,"about_ca_system_score_gemma":0.00004310214,"threshold_uncertainty_score":0.5484701},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4328907,0.00013205243,0.000037768725,0.00028946865,0.000093502975,0.000043102875,0.000004878188,0.00004029451,0.56646824],"genre_scores_gemma":[0.9793466,0.000026005831,0.00061561534,0.00026474995,0.000035681853,3.1083708e-8,0.000020638752,0.0000022492916,0.019688435],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9989288,0.00020346975,0.00008125302,0.00018324534,0.00028007745,0.000323185],"domain_scores_gemma":[0.9994633,0.00023270759,0.000011539501,0.00014270509,0.000038945764,0.00011076254],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00074068474,0.000067522655,0.000075092714,0.00008103487,0.00023004059,0.000087456734,0.00007764488,0.000040481882,0.0014990299],"category_scores_gemma":[0.00009441765,0.000044659908,0.00002183339,0.00024443795,0.000050814695,0.000056965935,0.0000019055041,0.00017332438,0.0007943602],"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":[0.00016193185,0.000083101724,0.35225123,0.0000230649,0.00004262484,0.000111916816,0.0004555366,0.003981836,0.0016619663,0.0011627068,0.4628371,0.17722698],"study_design_scores_gemma":[0.0012281894,0.0009154553,0.5262745,0.000067372006,0.0000090990015,0.00004778971,0.002898038,0.014497394,0.01951736,0.002201983,0.4316879,0.0006549182],"about_ca_topic_score_codex":0.0022777298,"about_ca_topic_score_gemma":0.00021533773,"teacher_disagreement_score":0.5467798,"about_ca_system_score_codex":0.0000023546902,"about_ca_system_score_gemma":0.000028434255,"threshold_uncertainty_score":0.9999836},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99190843,0.000040326813,0.00083622715,0.00004925037,0.00016971512,0.00005591163,0.000055480657,0.000003465666,0.0068812165],"genre_scores_gemma":[0.9964974,0.00018362064,0.0024905496,0.000014116095,0.00014617493,6.9775846e-10,0.000011168774,0.0000011321603,0.00065585074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995587,0.000032859854,0.00011941612,0.000059457583,0.0001397928,0.000089806315],"domain_scores_gemma":[0.9996095,0.00006860071,0.00013713106,0.000061664796,0.000053546024,0.00006960176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094343195,0.00004912679,0.00014524367,0.000086826585,0.00008843774,0.0000050284348,0.0001196136,0.000047802627,0.00008237863],"category_scores_gemma":[0.000012422238,0.00003895244,0.00009154901,0.00007119374,0.000035088968,0.000116265386,0.0000058722176,0.00009326143,0.0000029210125],"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":[0.0036262162,0.000095911346,0.843217,0.000020980015,0.00034984498,0.0007994306,0.00077779946,0.025012046,0.000041360832,0.00010140229,0.011207341,0.11475065],"study_design_scores_gemma":[0.013209361,0.0017566246,0.73764145,0.00018480279,0.00045725564,0.00020750494,0.0026529464,0.026263313,0.0006033774,0.0023392572,0.21424063,0.0004434976],"about_ca_topic_score_codex":0.0013416026,"about_ca_topic_score_gemma":0.0003167881,"teacher_disagreement_score":0.20303328,"about_ca_system_score_codex":0.0000054070947,"about_ca_system_score_gemma":0.000035479763,"threshold_uncertainty_score":0.20281108},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778347,0.00039718868,0.000087506036,0.00017659603,0.00010252132,0.000068377885,0.00004062144,0.000014767419,0.021277705],"genre_scores_gemma":[0.9990732,0.000024771067,0.00028481067,0.00022468394,0.000097124175,4.1746357e-8,0.00008238102,0.0000018200449,0.0002111455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994398,0.000042565294,0.0001064176,0.00013945672,0.0001381644,0.00013360284],"domain_scores_gemma":[0.9997211,0.00008856354,0.000039568717,0.00008936439,0.000014541413,0.000046860554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005999361,0.000079812235,0.00011129042,0.00001271918,0.00006160276,0.000013281382,0.000048855094,0.00004713478,0.00030550297],"category_scores_gemma":[0.000034697903,0.00005214855,0.00001889354,0.00003741667,0.00003174594,0.000021297888,0.0000035983885,0.000062236046,0.0000021319208],"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":[0.00018375958,0.000055765748,0.50164753,0.000114573864,0.000028199414,0.000045068897,0.00035506225,0.071969844,0.00023499352,0.00083679624,0.012268451,0.41225997],"study_design_scores_gemma":[0.00016146661,0.00016338272,0.9867987,0.000026282305,0.000007844939,0.000019937004,0.00002290685,0.002831971,0.00009353514,0.002761737,0.006998458,0.00011378427],"about_ca_topic_score_codex":0.7470327,"about_ca_topic_score_gemma":0.9793119,"teacher_disagreement_score":0.48515117,"about_ca_system_score_codex":0.000005336488,"about_ca_system_score_gemma":0.00004162458,"threshold_uncertainty_score":0.3345043},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988933,0.0004897938,0.000006289467,0.00010441746,0.000031150495,0.0002162153,0.00017352896,0.000003706351,0.000081591745],"genre_scores_gemma":[0.99972796,0.00008904043,0.00010798907,0.00003406929,0.00000221372,2.2997426e-7,0.000022774087,0.000002808019,0.000012921201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987215,0.00025959674,0.00041217238,0.0001818972,0.0002843978,0.000140475],"domain_scores_gemma":[0.9987324,0.0004497867,0.00035137834,0.00033817024,0.0000870194,0.00004126228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041543617,0.00014142478,0.0005370907,0.00016199399,0.00005929984,0.00001660776,0.0002485461,0.000069925154,0.000040318762],"category_scores_gemma":[0.00009965853,0.00006307731,0.00011864061,0.00078500726,0.00010027294,0.000120650155,0.000026481503,0.000099893856,4.6095462e-7],"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":[0.00002189876,0.000016465508,0.9770267,0.00013413241,0.0002949243,5.33828e-7,0.0026090527,0.017763332,0.0012313001,0.000002917443,0.0000033652793,0.00089539477],"study_design_scores_gemma":[0.00017270079,0.000040849227,0.84419745,0.000069697424,0.00050567463,0.000002703071,0.0010391282,0.15313919,0.0007136082,0.00005236794,0.0000065976174,0.000060042057],"about_ca_topic_score_codex":0.069849834,"about_ca_topic_score_gemma":0.037870143,"teacher_disagreement_score":0.13537586,"about_ca_system_score_codex":0.0000024805834,"about_ca_system_score_gemma":0.000020568688,"threshold_uncertainty_score":0.9796862},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897627,0.00006772351,0.009315196,0.00006627537,0.00007020916,0.0003461736,0.00010292794,0.000014402154,0.0002543461],"genre_scores_gemma":[0.9824644,0.00014317092,0.017269079,0.000007398733,0.0000055995615,3.7793015e-7,0.00010747735,0.0000014891059,0.0000010292704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987419,0.00007944512,0.00064304844,0.00010629817,0.00024969588,0.00017956368],"domain_scores_gemma":[0.9987034,0.0000461064,0.00035568269,0.00078842987,0.00008580686,0.000020546877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008610503,0.000075090946,0.00017993062,0.00028579083,0.000050698432,0.0000054334896,0.00050594046,0.0001396665,0.000076523145],"category_scores_gemma":[0.000065329754,0.000054537533,0.000027201098,0.0004218028,0.00040032048,0.00022325355,0.00009043458,0.00018798452,0.000023546654],"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":[0.00007924216,0.00012540168,0.62464005,0.00029674522,0.000024543544,2.925435e-7,0.0017645017,0.0024013154,0.0013051733,0.00046336898,0.000009671844,0.36888972],"study_design_scores_gemma":[0.00028541673,0.00008002006,0.6396326,0.00004248306,0.000010592701,0.000002393542,0.00048385098,0.349754,0.006294385,0.0028260478,0.0005095109,0.00007870143],"about_ca_topic_score_codex":0.011884205,"about_ca_topic_score_gemma":0.0029004978,"teacher_disagreement_score":0.368811,"about_ca_system_score_codex":0.000006924766,"about_ca_system_score_gemma":0.000035288587,"threshold_uncertainty_score":0.9946957},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745164,0.00012158156,0.00023785065,0.00006885748,0.00007883528,0.000034797315,0.000013216063,0.00001886942,0.024909623],"genre_scores_gemma":[0.99772537,0.0000096996155,0.0019682443,0.00008747275,0.00005725414,8.416518e-9,0.000010193626,0.0000014878802,0.00014028877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994018,0.000019045066,0.00018242594,0.0001017571,0.00013712926,0.00015781107],"domain_scores_gemma":[0.99966514,0.00007664183,0.00006836,0.00010881721,0.000031725518,0.000049328908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014237962,0.000061489176,0.00014071605,0.000040658673,0.000050757088,0.000008892455,0.000068429756,0.00003842377,0.0003810505],"category_scores_gemma":[0.000023117775,0.000041919648,0.000045947912,0.00010687868,0.000047273777,0.000051919673,0.0000030202893,0.000048423874,0.000029728722],"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":[0.000043630065,0.00005346531,0.96229386,0.00006786544,0.000023468097,0.0000037624623,0.0034248729,0.017172523,0.00047057713,0.000054995086,0.00018795008,0.01620301],"study_design_scores_gemma":[0.0011055641,0.0003089238,0.9613882,0.00012791331,0.00002155399,0.00001630573,0.0025698491,0.018791996,0.012644671,0.00038419993,0.0024320115,0.00020886089],"about_ca_topic_score_codex":0.009842575,"about_ca_topic_score_gemma":0.0069246097,"teacher_disagreement_score":0.024769334,"about_ca_system_score_codex":7.767436e-7,"about_ca_system_score_gemma":0.000018611112,"threshold_uncertainty_score":0.99675095},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99171746,0.000039564595,0.00080167584,0.000057397796,0.000034653025,0.00006451129,0.0000030544245,0.000008261356,0.0072734426],"genre_scores_gemma":[0.9879301,0.0000058092282,0.011964736,0.0000335319,0.000004639905,2.3369203e-8,0.000010323873,0.0000011230283,0.000049670143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995469,0.000048001704,0.00009979505,0.00011775079,0.00007804589,0.00010950412],"domain_scores_gemma":[0.9997893,0.000054416392,0.00003113304,0.00006670252,0.000010170355,0.00004829076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001580982,0.000048606966,0.00006658382,0.00005021223,0.000037652408,0.000028272654,0.000017083028,0.000024738478,0.00004727284],"category_scores_gemma":[0.00007358945,0.000035099543,0.000006415066,0.00006131883,0.000032525284,0.000050460356,7.657342e-7,0.0000404722,0.0000018472675],"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":[0.00004449134,0.000015926193,0.70169586,0.000031202286,0.000001943961,0.0000055278924,0.000117228476,0.020806149,0.00023429544,0.00003515228,0.000013613238,0.2769986],"study_design_scores_gemma":[0.00016483865,0.00006133065,0.5559398,0.000014716146,0.0000021906455,0.0000020978105,0.00004315551,0.4432356,0.00037688584,0.000086731925,0.000032594773,0.00004004768],"about_ca_topic_score_codex":0.0028936323,"about_ca_topic_score_gemma":0.0031884909,"teacher_disagreement_score":0.42242947,"about_ca_system_score_codex":0.0000012340811,"about_ca_system_score_gemma":0.000030591204,"threshold_uncertainty_score":0.43743256},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986558,0.00009073365,0.00016586644,0.00012564799,0.00004965625,0.000051132694,0.000003614774,0.000024727338,0.00083284196],"genre_scores_gemma":[0.99978256,0.000011186575,0.00013681824,0.000029911866,0.000027956628,6.749962e-8,0.0000030917465,0.0000024040366,0.0000059994886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994494,0.0000326842,0.00007734836,0.00012178719,0.00014657715,0.00017222304],"domain_scores_gemma":[0.9996886,0.00016897918,0.000012482515,0.000072247705,0.000014537752,0.000043136188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026117734,0.000063243795,0.000081123304,0.00027176228,0.00003608536,0.00001635438,0.000036654445,0.000027898534,0.000004080664],"category_scores_gemma":[0.00007764359,0.000053721567,0.000011409231,0.0002495236,0.000007057392,0.000031125695,0.0000014512071,0.00016383057,0.0000021406966],"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":[0.0000988661,0.000034658307,0.01903619,0.000087872715,0.000008855901,0.000021083963,0.0010505234,0.81368506,0.02337052,0.00007005524,0.000009048484,0.14252727],"study_design_scores_gemma":[0.00016756897,0.00034843985,0.4795822,0.00012879347,7.160258e-7,0.0000013617689,0.000045705245,0.49621278,0.023371955,0.000022148093,0.00005042454,0.00006792347],"about_ca_topic_score_codex":0.00012742967,"about_ca_topic_score_gemma":0.00021688301,"teacher_disagreement_score":0.46054602,"about_ca_system_score_codex":0.000005404158,"about_ca_system_score_gemma":0.000008257104,"threshold_uncertainty_score":0.2190702},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990925,0.00050256064,0.000004471482,0.0013012626,0.00009666785,0.000029129633,0.000024176514,0.000025442456,0.007091263],"genre_scores_gemma":[0.9987038,0.00008568822,0.00047386673,0.00030217337,0.00006841879,2.3578954e-8,0.00007608979,0.0000014720117,0.00028851087],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994393,0.000029689922,0.00013684465,0.00013728204,0.0001332379,0.00012366817],"domain_scores_gemma":[0.99968946,0.000080336984,0.000048188078,0.00008891568,0.000041112926,0.000052001695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009076537,0.0000913309,0.00017209591,0.000036298723,0.000081183185,0.000017805769,0.00004214362,0.000046285764,0.000038600567],"category_scores_gemma":[0.00003194252,0.00006624221,0.00002911863,0.0000679361,0.000075335585,0.00003596973,0.0000039246593,0.00007869232,0.000009557881],"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":[0.002378953,0.00037593345,0.20509413,0.00042715063,0.0004460246,0.00012396947,0.014501751,0.0038635212,0.057417747,0.00075531116,0.020459175,0.69415635],"study_design_scores_gemma":[0.0008443759,0.0007649845,0.9604385,0.00021057496,0.000053549742,0.000026920945,0.0009013276,0.025560744,0.00872752,0.00089526793,0.0012776548,0.00029859671],"about_ca_topic_score_codex":0.0003018583,"about_ca_topic_score_gemma":0.00032293831,"teacher_disagreement_score":0.7553444,"about_ca_system_score_codex":0.00000148058,"about_ca_system_score_gemma":0.000008413689,"threshold_uncertainty_score":0.2701279},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99920475,0.000051056566,0.00005562199,0.000008586403,0.00022834806,0.00028888308,0.00005505817,0.000016499696,0.00009118329],"genre_scores_gemma":[0.99934924,0.00000527711,0.0005349255,0.0000033579795,0.000018980281,7.1872265e-8,0.000025191037,0.0000066762086,0.00005627107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987196,0.00009746556,0.0004538028,0.00025401128,0.00025143233,0.00022370397],"domain_scores_gemma":[0.999177,0.00010605355,0.00027424758,0.00030369492,0.00007084569,0.00006815573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000258988,0.00015778904,0.00034225642,0.00021748552,0.000060962662,0.00002239255,0.00014830343,0.00010680442,0.00004360527],"category_scores_gemma":[0.00009062507,0.00012510578,0.000036824338,0.00031038502,0.00007848766,0.00019972053,0.000017413924,0.0002675661,0.0000014600982],"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":[0.00006705886,0.00006911525,0.98567826,0.000070307324,0.000018000785,0.00017007788,0.002502001,0.002703781,0.0019827934,0.0000020635207,0.0000012512309,0.006735301],"study_design_scores_gemma":[0.0007103192,0.00021944409,0.9833512,0.000078877485,0.000024673458,0.00029822814,0.001509189,0.013212662,0.00038578117,0.00006110057,0.0000072688867,0.00014131138],"about_ca_topic_score_codex":0.051604055,"about_ca_topic_score_gemma":0.48760062,"teacher_disagreement_score":0.43599656,"about_ca_system_score_codex":0.0000081318485,"about_ca_system_score_gemma":0.00011686507,"threshold_uncertainty_score":0.9547114},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954376,0.00008802455,0.0012515637,0.00035498384,0.00004636519,0.00045129657,0.0000146296725,0.000029641054,0.0023258447],"genre_scores_gemma":[0.99753207,0.000008627398,0.002097684,0.00007271148,0.00003887234,0.0000016409921,0.000026135562,0.0000044207536,0.00021786592],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912924,0.00006426978,0.00019074023,0.0002471008,0.00019931064,0.00016934104],"domain_scores_gemma":[0.9994132,0.000051378276,0.0001073759,0.00026966585,0.000089217065,0.00006918103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018954981,0.00012473267,0.00014088373,0.000037388287,0.0001738119,0.000060023125,0.00014093937,0.000060601647,0.000032899214],"category_scores_gemma":[0.0000442503,0.00007024866,0.000032182143,0.000159615,0.00009374755,0.0002302184,0.0000102191125,0.00013280331,0.0000152692],"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":[0.00034710555,0.00016126876,0.25765264,0.0004914043,0.00007193038,0.0000023621656,0.0067914273,0.06653179,0.030005071,0.0019289647,0.0005562227,0.63545984],"study_design_scores_gemma":[0.00022414999,0.000082839244,0.49657688,0.00006454724,0.000035542085,0.000013971423,0.00013353347,0.50024915,0.0013801911,0.00095561455,0.00014504278,0.00013854676],"about_ca_topic_score_codex":0.0025795777,"about_ca_topic_score_gemma":0.0033040822,"teacher_disagreement_score":0.63532126,"about_ca_system_score_codex":0.000004838135,"about_ca_system_score_gemma":0.000044090946,"threshold_uncertainty_score":0.38995668},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99765825,0.000024614794,0.0015062231,0.00012950007,0.00023705009,0.00022841038,0.0000047629665,0.0000064778783,0.00020470185],"genre_scores_gemma":[0.9989785,0.000010431986,0.00090531225,0.0000032935925,0.00008299112,5.16276e-7,0.0000020922269,0.0000024490616,0.0000144130645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996983,0.000007162904,0.000077443685,0.00008760568,0.00006707763,0.00006240659],"domain_scores_gemma":[0.99968207,0.00017156011,0.000035392462,0.000085689404,0.0000075099615,0.000017758863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012301818,0.000052759682,0.000046316338,0.000016801465,0.000054160362,0.00002372747,0.000043471293,0.000018322222,0.0000017945003],"category_scores_gemma":[0.000030278023,0.000029998379,0.000012411401,0.000018672206,0.000017758215,0.000024115498,0.000008053479,0.00006979941,3.7983187e-7],"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":[0.000011105913,0.0000069995276,0.856755,0.000010847998,0.000017520191,1.4290184e-7,0.0010397551,0.043200042,0.007450128,0.000047135625,6.828139e-7,0.0914606],"study_design_scores_gemma":[0.00014098747,0.0000282227,0.5688546,0.00001549071,0.000008194014,0.0000022700413,0.00041468887,0.4285617,0.0013030516,0.00003112609,0.000586533,0.000053197564],"about_ca_topic_score_codex":0.000065730885,"about_ca_topic_score_gemma":0.000065293636,"teacher_disagreement_score":0.38536164,"about_ca_system_score_codex":0.0000012795559,"about_ca_system_score_gemma":0.0000016196688,"threshold_uncertainty_score":0.12232983},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90199906,0.00032416882,0.000011293518,0.000032227694,0.00012112167,0.000068870184,0.000010407987,0.000023637933,0.097409226],"genre_scores_gemma":[0.99818665,0.000026148598,0.00068764266,0.00007155485,0.00006994282,6.398085e-8,0.000020407491,0.0000034489992,0.0009341554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992862,0.00004124826,0.00017500296,0.00017138531,0.00011490021,0.00021126826],"domain_scores_gemma":[0.9996465,0.0000469415,0.000060696515,0.0001652781,0.000020272584,0.000060298935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001758002,0.000092287,0.00015595251,0.000092552255,0.000037141996,0.00001150293,0.0001396368,0.00006139821,0.0005817954],"category_scores_gemma":[0.000021578073,0.00006993201,0.000033162694,0.00016654076,0.000040071656,0.000117580144,0.000008221814,0.00010573428,0.00011753265],"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":[0.000043548276,0.000016681523,0.96359634,0.00001823337,0.000007676304,0.000040002018,0.0009794127,0.000060004786,0.000021290183,0.00003251515,0.00030396928,0.03488032],"study_design_scores_gemma":[0.00024567897,0.00014889549,0.9902775,0.000050312658,0.000008237651,0.00001117848,0.000143226,0.0062641837,0.00037641413,0.00022232305,0.002114867,0.0001371685],"about_ca_topic_score_codex":0.02178109,"about_ca_topic_score_gemma":0.0246576,"teacher_disagreement_score":0.09647507,"about_ca_system_score_codex":0.0000013204781,"about_ca_system_score_gemma":0.000045921148,"threshold_uncertainty_score":0.99313986},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95869523,0.00073609373,0.039604,0.00037962015,0.00011444682,0.00015838048,0.00002298086,0.000032531447,0.00025669383],"genre_scores_gemma":[0.9978406,0.00010818323,0.0016887531,0.000014819966,0.0002511302,1.3050608e-7,0.00005380263,0.0000043568816,0.000038261132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991431,0.00009968766,0.0002108641,0.00022086364,0.00014175657,0.0001836978],"domain_scores_gemma":[0.99953073,0.00012096918,0.000117248455,0.00013473273,0.00004771873,0.000048589245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018649623,0.00014621408,0.00027884575,0.00020582852,0.00008902539,0.000023668805,0.00006591259,0.0001178397,0.000059563274],"category_scores_gemma":[0.000052040697,0.0000922322,0.000029391182,0.00025992925,0.00013415067,0.000044411172,0.000010921702,0.00017584953,0.000001115144],"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":[0.0017410868,0.00009127209,0.8529755,0.00023229296,0.00010977728,0.00005337145,0.0006978718,0.030535094,0.0060706595,0.000106112115,0.0036958694,0.10369113],"study_design_scores_gemma":[0.0018104669,0.0008983911,0.87116504,0.000068461726,0.00012311779,0.0003154175,0.00022128016,0.111465715,0.0017422895,0.011186051,0.0005860588,0.00041771037],"about_ca_topic_score_codex":0.00024477413,"about_ca_topic_score_gemma":0.00013147917,"teacher_disagreement_score":0.10327342,"about_ca_system_score_codex":0.0000013148782,"about_ca_system_score_gemma":0.000027362812,"threshold_uncertainty_score":0.376112},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969253,0.000020374751,0.0022689183,0.00009447809,0.000049131235,0.00018649123,0.00009529329,0.0000055787527,0.0003544285],"genre_scores_gemma":[0.99960595,0.000008576938,0.00013903808,0.000016956103,0.0000150998,2.5073126e-7,0.00012695494,0.000001208484,0.00008593736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937356,0.00006153101,0.0002110487,0.00009370998,0.0001430496,0.00011708221],"domain_scores_gemma":[0.9992674,0.00041569085,0.000089174086,0.00016918118,0.00003238129,0.000026185564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024191843,0.000062488136,0.00018220975,0.0001546056,0.000073305004,0.000018086706,0.00009812338,0.000018318591,0.00012877316],"category_scores_gemma":[0.000058975016,0.000034713405,0.00007266921,0.0005059603,0.000018363222,0.000039281666,0.0000060038037,0.000035912337,8.682027e-7],"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":[0.000018109602,0.000069788526,0.96381545,0.00000488314,0.00018673489,1.8155946e-7,0.00075965386,0.021804536,0.000008444247,0.00002200716,0.000020116793,0.013290105],"study_design_scores_gemma":[0.0002598485,0.0000893844,0.6468285,0.0000026593725,0.00022165335,7.608712e-8,0.002050072,0.3504479,0.000016480484,0.000015388638,0.00003704218,0.000031012034],"about_ca_topic_score_codex":0.020577753,"about_ca_topic_score_gemma":0.09380326,"teacher_disagreement_score":0.32864335,"about_ca_system_score_codex":0.000002221578,"about_ca_system_score_gemma":0.0000067993933,"threshold_uncertainty_score":0.98594433},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99216413,0.0000578699,0.00033049952,0.00006511858,0.000033609707,0.000044542558,0.000019475481,0.000013789929,0.0072709527],"genre_scores_gemma":[0.99946284,0.000015370253,0.00023867788,0.000061237566,0.000027964888,1.4371279e-8,0.000064523214,7.517817e-7,0.0001286431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952507,0.000020943351,0.0001381931,0.00010358598,0.00012863704,0.00008354126],"domain_scores_gemma":[0.9996538,0.00004078319,0.00007937236,0.00016259988,0.00002971487,0.00003371328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010732856,0.00004857899,0.00013994661,0.00009156278,0.000028439905,0.000008207753,0.0000697755,0.000028053762,0.000027959713],"category_scores_gemma":[0.000015153152,0.000035596848,0.00006910225,0.00036316906,0.0000271107,0.000025372903,0.0000010299344,0.000033994558,0.000023345076],"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":[0.000115657116,0.000040168612,0.878972,0.000007321917,0.00006870681,0.000001091266,0.00025260382,0.03137909,0.0012335579,0.00005535783,0.00001920589,0.08785526],"study_design_scores_gemma":[0.00012549697,0.00010277496,0.96807307,0.000003027289,0.000037212827,2.9485994e-7,0.000012915681,0.030201012,0.0010185993,0.00017704448,0.00020719403,0.000041351283],"about_ca_topic_score_codex":0.0020438419,"about_ca_topic_score_gemma":0.0004829642,"teacher_disagreement_score":0.08910109,"about_ca_system_score_codex":8.6219853e-7,"about_ca_system_score_gemma":0.0000082747,"threshold_uncertainty_score":0.3089691},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975441,0.00016077924,0.000034324385,0.0011434468,0.00020270843,0.000058688198,0.000002393708,0.0000027259177,0.0008508449],"genre_scores_gemma":[0.9993933,0.00010157882,0.00004588394,0.00012281179,0.00005332825,2.2644777e-9,3.8018896e-7,9.107932e-7,0.0002817974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901915,0.0005052658,0.00010767569,0.000060680813,0.00016969038,0.00013753628],"domain_scores_gemma":[0.9994237,0.00021621738,0.00011976976,0.00014356244,0.00003537599,0.00006140563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010774566,0.00005788944,0.00006920166,0.00006335884,0.0003915512,0.000021052536,0.00034553168,0.000035456575,0.0000068536337],"category_scores_gemma":[0.000056221765,0.000026180012,0.000058630056,0.00026162865,0.000078688696,0.00017919054,0.000019683062,0.00024830134,0.0000033247036],"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":[0.0022272053,0.000014871584,0.9846005,0.0000017108107,0.000013842947,0.00012970279,0.004556746,0.00024100482,0.00001309918,0.000033689164,0.0005608848,0.007606758],"study_design_scores_gemma":[0.00021241339,0.00018412987,0.9896476,0.000017368508,0.000019288886,0.00022088505,0.0018133873,0.00013390362,0.0000027783049,0.00006262985,0.0076442636,0.000041334366],"about_ca_topic_score_codex":0.0058208755,"about_ca_topic_score_gemma":0.046068653,"teacher_disagreement_score":0.040247776,"about_ca_system_score_codex":0.000014555671,"about_ca_system_score_gemma":0.00003534719,"threshold_uncertainty_score":0.9713381},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5437559,0.000010362572,0.44470456,0.0014605203,0.00019531051,0.0014202682,0.00010277272,0.00025448695,0.008095849],"genre_scores_gemma":[0.88584477,8.819732e-7,0.11308406,0.00052428973,0.00024959043,0.0000074323784,0.00018789161,0.000005138021,0.00009593544],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990189,0.000106128056,0.00017544288,0.00037504762,0.00014024496,0.00018419961],"domain_scores_gemma":[0.99913764,0.00027193717,0.00006359467,0.00039254606,0.000039731167,0.00009457637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028941245,0.00013949872,0.00012582686,0.00010285469,0.0002885031,0.00010396541,0.00023944626,0.00007397218,0.00008972591],"category_scores_gemma":[0.0000028418708,0.00011048377,0.000052160663,0.00023274937,0.00003683302,0.00003808578,0.000006559107,0.00027687725,0.00064667204],"study_design_candidate":"design_other","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":[0.00001538027,0.00023593543,0.026986275,0.0000024956003,0.000009563937,0.0000010509466,0.00019886321,0.0017844146,0.0025125341,0.000071736715,0.0009858302,0.9671959],"study_design_scores_gemma":[0.00032771286,0.0001686552,0.65631115,0.0000033642668,0.0000124624885,0.0000030284612,0.00008096609,0.04894327,0.0011134645,0.000116622454,0.29274288,0.00017641485],"about_ca_topic_score_codex":0.00009878532,"about_ca_topic_score_gemma":0.00017608717,"teacher_disagreement_score":0.9670195,"about_ca_system_score_codex":0.0000035572332,"about_ca_system_score_gemma":0.000027364245,"threshold_uncertainty_score":0.83118767},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8203549,0.000002396535,0.009094251,0.000012467735,0.00021091713,0.00014094201,0.0000037883492,0.000033937402,0.1701464],"genre_scores_gemma":[0.99455154,0.0000018831772,0.0052287546,0.000109511886,0.000013264799,5.2073904e-8,0.00003778871,8.852897e-7,0.000056309244],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994766,0.00011510296,0.00014105243,0.000066513065,0.00013393819,0.000066792825],"domain_scores_gemma":[0.9996691,0.000090724556,0.00006671208,0.000114753464,0.000028873876,0.000029877421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037008675,0.000055910365,0.00007154673,0.000108517954,0.000041540286,0.000012934897,0.000035623896,0.000032189822,0.0006163902],"category_scores_gemma":[0.0000444686,0.00003663813,0.00001909426,0.00011038684,0.000008325434,0.0001746845,8.190191e-7,0.000047843878,0.00008181106],"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":[0.00028221757,0.000115817995,0.37059432,0.0000068664854,0.000007313753,0.0000015798112,0.0010234173,0.0066252025,0.0000066643383,0.000019301417,0.00009056806,0.6212267],"study_design_scores_gemma":[0.00025949837,0.000660502,0.8977383,0.0000070652077,0.00000748226,6.357916e-7,0.00036376002,0.09914311,0.0011593242,0.00003418331,0.0005759021,0.00005023292],"about_ca_topic_score_codex":0.001672024,"about_ca_topic_score_gemma":0.00032915676,"teacher_disagreement_score":0.6211765,"about_ca_system_score_codex":0.0000013275329,"about_ca_system_score_gemma":0.000010776907,"threshold_uncertainty_score":0.67490405},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98765785,0.0004643705,0.0000016927347,0.0000924348,0.00047318084,0.00006418658,0.000006463661,0.000020145888,0.011219655],"genre_scores_gemma":[0.99863905,0.00025227445,0.000037164697,0.00007413719,0.00008759129,2.8635398e-8,0.000013415145,0.000001739379,0.0008946227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994978,0.000048224112,0.00007838366,0.00008890014,0.00014745932,0.00013924565],"domain_scores_gemma":[0.9994043,0.00034626332,0.000034254375,0.00015603368,0.0000146096645,0.000044505698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000598734,0.000061015748,0.000086174005,0.000018837902,0.00017516963,0.000009527509,0.00009604228,0.00003067455,0.00002349132],"category_scores_gemma":[0.00006175512,0.000032569435,0.000032974847,0.00008385919,0.000068580666,0.000024468483,0.0000027843528,0.00006980205,0.00012626695],"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":[0.0003949839,0.00008505495,0.8776585,0.00013886747,0.00011555466,0.0003021108,0.0019638508,0.001823576,0.0033024105,0.00011191264,0.0029862295,0.11111698],"study_design_scores_gemma":[0.00019159053,0.00023287932,0.99094063,0.000031040352,0.000004875261,0.000009473244,0.000018294442,0.00092087116,0.005836287,0.00006941996,0.0016867786,0.000057858793],"about_ca_topic_score_codex":0.00080214924,"about_ca_topic_score_gemma":0.00044396863,"teacher_disagreement_score":0.11328217,"about_ca_system_score_codex":9.3998653e-7,"about_ca_system_score_gemma":0.00001867126,"threshold_uncertainty_score":0.16229483},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96894944,0.000028075947,0.000057265737,0.00013816504,0.0009868713,0.000037922924,0.000014427854,0.000032538785,0.029755294],"genre_scores_gemma":[0.9954999,0.000008178166,0.0039472817,0.000033809327,0.00021915532,2.2940048e-8,0.000026407131,0.0000016388876,0.00026358658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953586,0.000019617266,0.00011753752,0.00010854948,0.00011189692,0.000106557774],"domain_scores_gemma":[0.9996957,0.000031275424,0.00006234422,0.00012686058,0.000030220697,0.000053609743],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009872755,0.000058655438,0.000091526315,0.00006340254,0.00005569938,0.000015596044,0.000057903657,0.00006926688,0.0009872841],"category_scores_gemma":[0.000020787953,0.000045145734,0.0000388463,0.00011529884,0.00007881716,0.000084361214,0.000002516092,0.00012485986,0.00007595035],"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":[0.000014955517,0.0000032018659,0.5497635,0.0000075484177,0.000007960671,0.0000024313972,0.000078441386,0.0000971777,0.0008205781,0.00035402432,0.00015261008,0.44869757],"study_design_scores_gemma":[0.00027882934,0.000056437722,0.97201526,0.000009916385,0.000015921507,0.00021566122,0.00013155908,0.015421019,0.0013123718,0.001722133,0.008699211,0.000121688194],"about_ca_topic_score_codex":0.0030773503,"about_ca_topic_score_gemma":0.002922165,"teacher_disagreement_score":0.44857585,"about_ca_system_score_codex":4.452152e-7,"about_ca_system_score_gemma":0.000022077089,"threshold_uncertainty_score":0.999926},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26835912,0.00018704122,0.729192,0.00024043837,0.000011042274,0.0006628444,0.000062439845,0.000026805445,0.0012582385],"genre_scores_gemma":[0.890792,0.000011762179,0.10870955,0.00016209818,0.00007528861,0.0000025199818,0.00019869285,0.0000017796647,0.00004629802],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994033,0.0000132444175,0.00024508222,0.00016277721,0.000072853305,0.000102764374],"domain_scores_gemma":[0.99949723,0.000070747774,0.00013038548,0.00019520742,0.00006943604,0.000036970883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007242518,0.00007964041,0.00015311714,0.00007476666,0.00005444768,0.000012043636,0.0001539998,0.000036974874,0.000010775514],"category_scores_gemma":[6.5770706e-7,0.000060215487,0.00007803356,0.00021213331,0.000026044878,0.000054002096,0.000004314932,0.000029363784,0.000013654362],"study_design_candidate":"design_other","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":[0.000028384438,0.00009169609,0.038686886,0.000039150626,0.000032311076,5.216857e-8,0.00018555115,0.0041537923,0.012202643,0.000101235084,0.0006648554,0.94381344],"study_design_scores_gemma":[0.0011097024,0.00023264026,0.8028914,0.000021039543,0.00007167251,0.000012811497,0.000023199007,0.07745635,0.011815748,0.013226267,0.0928446,0.0002945757],"about_ca_topic_score_codex":0.00019124764,"about_ca_topic_score_gemma":0.000042199536,"teacher_disagreement_score":0.9435189,"about_ca_system_score_codex":0.0000015743967,"about_ca_system_score_gemma":0.0000111917225,"threshold_uncertainty_score":0.24555163},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946724,0.00046579653,0.0015462057,0.00069919036,0.00017898376,0.00024988272,0.00005126226,0.000013874459,0.0021223954],"genre_scores_gemma":[0.9987841,0.00009367081,0.00052636594,0.000047984657,0.000050536895,1.9271545e-7,0.000043020285,0.0000025254212,0.0004515532],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99908644,0.00009281933,0.00027248563,0.00013343718,0.0002887803,0.00012603238],"domain_scores_gemma":[0.9994925,0.000019232753,0.00019092606,0.00021817467,0.000042612442,0.000036540117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021689176,0.00009857672,0.00019131336,0.000049679882,0.0000696974,0.000008630388,0.00010861752,0.00006302253,0.00010754364],"category_scores_gemma":[0.000019999845,0.00006090917,0.00007343867,0.00020380259,0.00005749523,0.00018251562,0.000004873943,0.00009265828,0.0000053291583],"study_design_candidate":"design_other","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":[0.00053521746,0.00030668202,0.014734299,0.0001511021,0.00008105446,0.000004299302,0.004686415,0.0048259012,0.10467435,0.000060512426,0.005561068,0.8643791],"study_design_scores_gemma":[0.0011980314,0.0014084119,0.672401,0.00032158085,0.000080380676,0.000021061642,0.00037995787,0.008862842,0.30554894,0.0013317033,0.0081365,0.00030955064],"about_ca_topic_score_codex":0.003498343,"about_ca_topic_score_gemma":0.0003074196,"teacher_disagreement_score":0.8640695,"about_ca_system_score_codex":0.0000039248534,"about_ca_system_score_gemma":0.000023248624,"threshold_uncertainty_score":0.52884716},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907036,0.00010126063,0.0019466488,0.000085330474,0.000039866343,0.000088987574,0.00002699085,0.000008271592,0.0069990354],"genre_scores_gemma":[0.999452,0.0000033940883,0.0002193465,0.00003531934,0.00001591879,3.6936935e-8,0.000042681462,0.0000010420202,0.00023025765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948895,0.000030347568,0.00015415235,0.00010869254,0.00011861986,0.000099241646],"domain_scores_gemma":[0.99959475,0.00015680265,0.00005227649,0.00011039966,0.000056589666,0.000029167957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049028586,0.00004861388,0.000088622444,0.00003293367,0.000046318914,0.00003112574,0.00006198333,0.000018440387,0.000011351367],"category_scores_gemma":[0.000046214434,0.000028232198,0.00001447607,0.00019911212,0.00003014405,0.000046194426,0.0000074178365,0.000025980271,0.000004602631],"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":[0.0000073289893,0.0000058363485,0.9541055,0.000004399232,0.00000260212,1.3454283e-7,0.00007247096,0.0024823726,0.00013201816,0.0000059319696,0.00025901233,0.042922396],"study_design_scores_gemma":[0.000048445443,0.000019681493,0.98513436,0.0000049509745,0.0000014311701,0.0000025317395,0.000042759988,0.012295371,0.000184027,0.000018061162,0.0022061716,0.000042180596],"about_ca_topic_score_codex":0.02567127,"about_ca_topic_score_gemma":0.012029026,"teacher_disagreement_score":0.042880215,"about_ca_system_score_codex":7.486515e-7,"about_ca_system_score_gemma":0.000009436862,"threshold_uncertainty_score":0.98081684},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977904,0.000042495834,0.000004994872,0.000045351335,0.000060550803,0.00043506065,0.000035495825,0.00001305919,0.0015725658],"genre_scores_gemma":[0.99986947,0.0000034387565,0.00002575079,0.000019851697,0.00002794908,1.0823898e-7,0.0000070430433,0.0000026224777,0.000043763426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878776,0.00020536991,0.0003211478,0.00023565828,0.00029837937,0.00015169242],"domain_scores_gemma":[0.9991639,0.00019915753,0.00022877619,0.0003081549,0.00004626579,0.00005371895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005893283,0.00013079066,0.00029278162,0.00008870749,0.00015176693,0.000022855202,0.000102405735,0.00004585813,0.00000785238],"category_scores_gemma":[0.0000811211,0.00008106442,0.000035951107,0.00017140429,0.000055804783,0.00005915553,0.0000066863054,0.00014010475,5.478559e-7],"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":[0.00017754875,0.00026492833,0.9820076,0.00001886776,0.000024069737,0.00012739499,0.0052275197,0.0020898604,0.000035688994,0.0000042217684,0.000012767173,0.0100094965],"study_design_scores_gemma":[0.0005782328,0.002201871,0.99111456,0.000070839924,0.000044401902,0.000055532633,0.0042736023,0.0012892326,0.00016024402,0.00010523915,0.000010142763,0.00009611465],"about_ca_topic_score_codex":0.03374264,"about_ca_topic_score_gemma":0.01700853,"teacher_disagreement_score":0.01673411,"about_ca_system_score_codex":0.00000578135,"about_ca_system_score_gemma":0.000015529742,"threshold_uncertainty_score":0.9726918},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667627,0.00051791203,0.000079324906,0.001191061,0.00021109704,0.00025924938,0.00013090494,0.0000046933833,0.0009294726],"genre_scores_gemma":[0.9993105,0.000028237628,0.000035646,0.00016767858,0.00006096874,3.0333968e-7,0.00033925188,0.0000014808361,0.00005592755],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985188,0.00027376958,0.0002531826,0.00016034167,0.0006643832,0.00012950186],"domain_scores_gemma":[0.99894124,0.0003064216,0.00021667812,0.0003850525,0.000120023644,0.000030604402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003899028,0.00008860164,0.0001422592,0.000026549087,0.00026699225,0.000025587029,0.00023853587,0.00003810566,0.000056140438],"category_scores_gemma":[0.000042855554,0.000041231106,0.00006885849,0.00034711303,0.00006859597,0.000049784983,0.000006474507,0.00010792006,0.0000037093525],"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":[0.00022180074,0.000045862642,0.19980136,0.0000038284184,0.00061319885,4.9464796e-7,0.0011797595,0.08376014,0.0060935956,0.000023223583,0.0093248775,0.6989319],"study_design_scores_gemma":[0.00019514501,0.000017259905,0.84268403,0.0000048418988,0.00020560832,6.541135e-7,0.00019762946,0.15297459,0.001482238,0.00021625361,0.0019690006,0.0000527613],"about_ca_topic_score_codex":0.47869468,"about_ca_topic_score_gemma":0.6993449,"teacher_disagreement_score":0.6988791,"about_ca_system_score_codex":0.00001995227,"about_ca_system_score_gemma":0.00012847318,"threshold_uncertainty_score":0.52477676},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883079,0.00006914803,4.570839e-7,0.00048416806,0.000114214025,0.00018500387,0.000011504728,0.000019767716,0.01080786],"genre_scores_gemma":[0.9994311,0.0000052519877,0.000012058466,0.00035132442,0.00007683315,7.8753885e-8,0.0000041148664,0.0000011104283,0.00011812454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941677,0.00014371799,0.00008132231,0.000109790606,0.00015925847,0.00008914424],"domain_scores_gemma":[0.9996235,0.00007697494,0.000029622019,0.0001373614,0.000046842946,0.000085708154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005042331,0.000059285965,0.000091677655,0.000019991583,0.000055888293,0.000025509109,0.0000844001,0.00002091382,0.00007348535],"category_scores_gemma":[0.00001933264,0.000028087776,0.00000881587,0.000082545805,0.0000045946413,0.00007912681,0.000005908366,0.000042305262,0.00005079073],"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":[0.0001356,0.00018195147,0.9368022,0.000038500755,0.000054601842,0.000020651458,0.035400257,0.00027333567,0.000011116784,0.000088758105,0.0007472936,0.026245736],"study_design_scores_gemma":[0.00033117624,0.0008873259,0.94651425,0.000019839197,0.000015228478,0.00000826816,0.013314973,0.03796951,0.00011772501,0.00016138155,0.00055432046,0.00010601018],"about_ca_topic_score_codex":0.0044805566,"about_ca_topic_score_gemma":0.021520406,"teacher_disagreement_score":0.037696175,"about_ca_system_score_codex":6.9029943e-7,"about_ca_system_score_gemma":0.000009190692,"threshold_uncertainty_score":0.9963343},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7802536,0.0000074665872,0.21864185,0.000023041935,0.00024459139,0.00004024277,0.000004808901,0.000016609916,0.0007678135],"genre_scores_gemma":[0.99708027,0.000003623042,0.002641258,0.000107582324,0.00008105198,1.4112504e-8,0.00006982078,0.0000014192918,0.00001496913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996921,0.000015108179,0.00006861113,0.00009203286,0.0000770929,0.000055081266],"domain_scores_gemma":[0.9997712,0.000076352386,0.00002727404,0.00007033045,0.000024886336,0.000029955621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053941792,0.000045055458,0.000058555317,0.000040455685,0.00004831956,0.000016627826,0.000027432337,0.00003339081,0.000026490468],"category_scores_gemma":[0.000009754684,0.000034327786,0.000009910739,0.00003211138,0.000014179858,0.000041963893,0.000002101527,0.000044394637,0.0000053692133],"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":[0.00001532939,0.00000697848,0.071048155,0.0000048490188,0.0000015927055,5.0803845e-7,0.0000819024,0.7788768,0.000025218253,0.0000045521642,0.00002443824,0.14990966],"study_design_scores_gemma":[0.00012880248,0.000042565385,0.2422208,0.000007006963,0.0000018763284,5.769922e-7,9.175003e-7,0.75720805,0.000060630395,0.00007032286,0.00022542448,0.000033021795],"about_ca_topic_score_codex":0.00006237325,"about_ca_topic_score_gemma":0.0001242875,"teacher_disagreement_score":0.21682668,"about_ca_system_score_codex":3.4482758e-7,"about_ca_system_score_gemma":0.000007790697,"threshold_uncertainty_score":0.13998465},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98821265,0.00015240296,0.010597426,0.00031527897,0.00011214169,0.000046830057,0.000006447414,0.000008676765,0.0005481287],"genre_scores_gemma":[0.9951696,0.000096014206,0.004442883,0.00015822066,0.00009648889,4.3919915e-8,0.000020253889,0.0000039670863,0.000012543649],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988061,0.00018249944,0.00030353654,0.00016850595,0.00026038996,0.00027895454],"domain_scores_gemma":[0.99937093,0.000168819,0.00017741996,0.000108099215,0.000056473164,0.000118276774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005712245,0.00013512379,0.000298012,0.00048423882,0.000090821915,0.00007930364,0.00008364392,0.00006599132,0.00006377093],"category_scores_gemma":[0.000026056978,0.00010351805,0.00013675593,0.0003619731,0.000029401483,0.00014605076,0.0000025564868,0.00031817838,0.000006248361],"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":[0.00089581544,0.0001979748,0.061251123,0.000015708963,0.0003194851,0.000102362406,0.00010739494,0.23608187,0.0023428993,0.0000063411535,0.000123741,0.6985553],"study_design_scores_gemma":[0.0007556886,0.00094435085,0.30782098,0.00001669359,0.00011985168,0.00006529724,0.000020666628,0.6848376,0.0050008614,0.00008563409,0.00021811965,0.00011429122],"about_ca_topic_score_codex":0.00038143076,"about_ca_topic_score_gemma":0.00094260887,"teacher_disagreement_score":0.698441,"about_ca_system_score_codex":0.000035843703,"about_ca_system_score_gemma":0.000040786752,"threshold_uncertainty_score":0.42213434},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98033005,0.00080899865,0.00002585571,0.005853641,0.00055139046,0.00052630383,0.000026153995,0.00005204946,0.011825548],"genre_scores_gemma":[0.99826807,0.00011730113,0.00023109608,0.00029350215,0.00026492588,0.0000028076538,0.00005958432,0.000018853894,0.0007438553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99689966,0.000506944,0.0006025494,0.00056085276,0.00076641905,0.0006635964],"domain_scores_gemma":[0.9981388,0.00032861953,0.0002315591,0.0010060751,0.00012071378,0.00017425948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012747983,0.00032792654,0.00036687232,0.00022402195,0.0004730817,0.00022436805,0.000943281,0.00021963404,0.00017575397],"category_scores_gemma":[0.00030843704,0.00018319975,0.00015400452,0.0011501438,0.0004933151,0.00032949346,0.000072350034,0.00079620024,0.0001317937],"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":[0.0009143586,0.0005302947,0.6559506,0.0002810285,0.000277396,0.000103919956,0.028059283,0.042031545,0.013341286,0.008088101,0.0042524626,0.24616973],"study_design_scores_gemma":[0.0013056749,0.00018646386,0.9604693,0.00016221352,0.000036024783,0.000021147132,0.0012117135,0.00863937,0.003963592,0.004529001,0.019097447,0.00037801935],"about_ca_topic_score_codex":0.037089393,"about_ca_topic_score_gemma":0.059299905,"teacher_disagreement_score":0.30451873,"about_ca_system_score_codex":0.00004450721,"about_ca_system_score_gemma":0.00029573982,"threshold_uncertainty_score":0.9693227},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99580586,0.0010045097,0.000008936616,0.00029145138,0.0002527183,0.000047496123,0.000019718795,0.00002245269,0.002546875],"genre_scores_gemma":[0.99883604,0.00013362065,0.00030015642,0.00041375097,0.00012938249,1.18015135e-8,0.000018297498,0.0000029182038,0.00016582193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993398,0.000030672036,0.00014787883,0.00017234741,0.00014885589,0.00016044281],"domain_scores_gemma":[0.9994978,0.00024660883,0.000050741866,0.000105148465,0.000034430213,0.00006532173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021148648,0.000099346405,0.0001692595,0.00005085957,0.00009140902,0.00002067879,0.0000493116,0.00006566124,0.00003472467],"category_scores_gemma":[0.000057566165,0.00006560957,0.000029976203,0.00008959849,0.00008594652,0.000055125987,0.0000065398426,0.00011989634,0.000020445501],"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":[0.0006550638,0.00009524034,0.9108402,0.00012424515,0.00048434056,0.00015529028,0.010009924,0.0013975926,0.055912025,0.00033847822,0.001705869,0.018281706],"study_design_scores_gemma":[0.00033261214,0.000108970984,0.96719956,0.00009592372,0.000015086391,0.0000037188674,0.0020788605,0.0002493399,0.028204136,0.0015466334,0.000048839665,0.00011634462],"about_ca_topic_score_codex":0.0015528557,"about_ca_topic_score_gemma":0.0025917562,"teacher_disagreement_score":0.05635931,"about_ca_system_score_codex":0.0000022119928,"about_ca_system_score_gemma":0.000009814409,"threshold_uncertainty_score":0.26754805},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98513746,0.00009311152,0.0008108799,0.00041038066,0.0003752803,0.00018357643,0.000012654808,0.000085036605,0.0128916055],"genre_scores_gemma":[0.99834627,0.000009012384,0.00042462026,0.000709511,0.00018205892,4.848953e-7,0.00008635146,0.000008846231,0.0002328165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985291,0.0001277052,0.00023778339,0.00035109158,0.00029267525,0.00046163838],"domain_scores_gemma":[0.99933296,0.0001637534,0.000069744274,0.0002604995,0.00003193158,0.00014110115],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028323557,0.00018900835,0.00020467032,0.00024565158,0.00014143693,0.00011665824,0.00015290259,0.00011050111,0.0022566407],"category_scores_gemma":[0.000056023506,0.00015257562,0.00006948887,0.00028515945,0.00004452685,0.00022991274,0.000007763748,0.00023466194,0.0016683426],"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":[0.000019028133,0.000022745047,0.86085945,0.000015688458,0.000005019572,0.000027708082,0.00032662146,0.00692013,0.000062187224,0.0000028201703,0.00088299235,0.13085562],"study_design_scores_gemma":[0.00037071708,0.00007010135,0.7397327,0.00008694356,0.0000048263337,0.000004403015,0.00011927246,0.2588558,0.000054029282,0.00012195609,0.0004043704,0.00017486991],"about_ca_topic_score_codex":0.015614447,"about_ca_topic_score_gemma":0.0038140463,"teacher_disagreement_score":0.25193566,"about_ca_system_score_codex":0.000015742999,"about_ca_system_score_gemma":0.000034242275,"threshold_uncertainty_score":0.99910897},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98659486,0.00003859365,0.0073399404,0.00024068248,0.002326808,0.0003556156,0.000105781866,0.0001458492,0.0028518853],"genre_scores_gemma":[0.9961414,0.000011353577,0.0020075226,0.00020690291,0.0011074618,0.0000015584674,0.00012458068,0.000026112742,0.00037314856],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980894,0.00011885706,0.00033132534,0.0005613354,0.00030688845,0.00059221516],"domain_scores_gemma":[0.99873817,0.00037101284,0.00017508827,0.00044295043,0.000059415404,0.0002133811],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004017981,0.00032615336,0.00035301765,0.00020304644,0.000425441,0.00020480662,0.00023122018,0.00014101322,0.0001424636],"category_scores_gemma":[0.00019560508,0.00027413337,0.00016181363,0.00026401706,0.00005163764,0.0002103337,0.00001086122,0.00028682654,0.00010727069],"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":[0.0062347455,0.00056096603,0.48220238,0.00078962673,0.00031548398,0.0004714136,0.0021775905,0.06588659,0.055144895,0.000060219594,0.0005899374,0.38556617],"study_design_scores_gemma":[0.0024031247,0.0017117627,0.078320675,0.00023862642,0.000095196745,0.000098094315,0.00005379526,0.8556334,0.049028277,0.00013302044,0.011495215,0.0007888278],"about_ca_topic_score_codex":0.0020284029,"about_ca_topic_score_gemma":0.0058215554,"teacher_disagreement_score":0.7897468,"about_ca_system_score_codex":0.000048502203,"about_ca_system_score_gemma":0.00006438508,"threshold_uncertainty_score":0.9999711},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935285,0.0013215714,0.00001827164,0.00012755094,0.00008515005,0.00004891745,0.000039810006,0.0000034912132,0.004826764],"genre_scores_gemma":[0.9988198,0.00042458557,0.0005169264,0.000017750543,0.00008651666,2.9016265e-8,0.0000073897704,0.0000029209045,0.00012402346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991732,0.00003193407,0.00034966847,0.00008525235,0.0002114046,0.00014850304],"domain_scores_gemma":[0.99948794,0.000082977174,0.00024190388,0.00007376409,0.000018334258,0.00009506816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021912722,0.00009269634,0.00021540372,0.00016935254,0.00005104607,0.000019369263,0.00007537791,0.00006986103,0.00032486906],"category_scores_gemma":[0.000020529244,0.00006699611,0.00004440331,0.000112705886,0.00004065504,0.00012876006,0.000005296138,0.00016164301,0.0000088930265],"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":[0.00008502548,0.00002701567,0.9825847,0.000015848711,0.000015333833,0.00014715844,0.0008572559,0.010519965,0.000010303545,0.000007506018,0.00028956868,0.005440286],"study_design_scores_gemma":[0.0011201,0.0003244991,0.9668248,0.000105688785,0.000021805663,0.00030305545,0.0013035993,0.028543018,0.000024731451,0.00019124213,0.0011405923,0.00009685383],"about_ca_topic_score_codex":0.00012437387,"about_ca_topic_score_gemma":0.000109526794,"teacher_disagreement_score":0.018023053,"about_ca_system_score_codex":0.0000037199995,"about_ca_system_score_gemma":0.000016229418,"threshold_uncertainty_score":0.35570887},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801122,0.0029089528,0.002084684,0.00013260622,0.0005272282,0.0004631818,0.000059832255,0.000039810766,0.013671496],"genre_scores_gemma":[0.9976577,0.0005001322,0.0011992228,0.00001257165,0.000103106555,0.0000015678036,0.000029324372,0.0000042157976,0.0004921619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922514,0.00005358455,0.00019873344,0.00016077427,0.00012385624,0.00023792498],"domain_scores_gemma":[0.99933815,0.00032127782,0.0000794163,0.00017716955,0.00004099767,0.00004299392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003925637,0.00008768992,0.0001224101,0.00005529533,0.00023343056,0.00006125977,0.000103674676,0.000052339878,0.000015854857],"category_scores_gemma":[0.00007441333,0.000060166643,0.000042568787,0.00018977653,0.00005042166,0.00008863403,0.000003590918,0.00008658501,0.000018132261],"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":[0.000050961797,0.000016745415,0.8880523,0.000033509823,0.000016769136,0.0000020575167,0.00031207057,0.0028633426,0.00014940575,0.00020751452,0.00022000208,0.108075336],"study_design_scores_gemma":[0.0009157872,0.00008771752,0.8987753,0.000068248795,0.000024693589,0.00001004445,0.00029463836,0.003080419,0.0045563937,0.0024428393,0.08951368,0.00023027294],"about_ca_topic_score_codex":0.00093402615,"about_ca_topic_score_gemma":0.00057209225,"teacher_disagreement_score":0.10784506,"about_ca_system_score_codex":0.0000051716333,"about_ca_system_score_gemma":0.000026559883,"threshold_uncertainty_score":0.24535246},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43862376,0.00017213993,0.5480412,0.0011755776,0.00006354918,0.0021568323,0.000037994632,0.00027787892,0.009451048],"genre_scores_gemma":[0.9218702,0.000008098289,0.07738686,0.0005172797,0.00009129092,0.0000037091902,0.000102234044,0.0000026440775,0.000017681026],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989692,0.00015598713,0.00017436301,0.00035419763,0.00018112258,0.0001651279],"domain_scores_gemma":[0.99935186,0.00017332095,0.000052034884,0.0002417342,0.00008652598,0.000094501294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051802676,0.00012407656,0.00011633987,0.00006814294,0.00024075063,0.00008192833,0.00010543814,0.000051153344,0.00004459604],"category_scores_gemma":[0.000001942572,0.00009706355,0.000020094998,0.00020230007,0.000023723487,0.000048947604,0.0000039705983,0.00009204848,0.0002169969],"study_design_candidate":"design_other","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":[0.000027707272,0.000036248555,0.00049674313,0.000010204075,0.0000058327373,0.0000010170096,0.0001543739,0.0050503784,0.00028593332,0.00014907,0.00068875286,0.9930937],"study_design_scores_gemma":[0.0011648352,0.0005917675,0.44663805,0.000118612064,0.00006033256,0.00005350946,0.00008127144,0.47714537,0.007388801,0.0015549926,0.064579114,0.00062335713],"about_ca_topic_score_codex":0.000059699298,"about_ca_topic_score_gemma":0.000025476913,"teacher_disagreement_score":0.9924704,"about_ca_system_score_codex":0.000018411434,"about_ca_system_score_gemma":0.00005056117,"threshold_uncertainty_score":0.39581367},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11948367,0.00014150188,0.87613875,0.000032424952,0.000021976452,0.00013559543,0.000010183812,0.00003599354,0.003999914],"genre_scores_gemma":[0.93768793,0.0000043494306,0.061939158,0.00003534663,0.00022400166,1.9799076e-7,0.00006071764,0.0000020486275,0.00004623984],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943763,0.000009725578,0.0001809867,0.00014342116,0.00008166319,0.0001465831],"domain_scores_gemma":[0.9996985,0.00003099487,0.0000444726,0.00012977397,0.00004216119,0.000054079817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014534753,0.000061953484,0.00007832281,0.00006883755,0.000087922155,0.000013659193,0.0001030832,0.00004120981,0.000036583897],"category_scores_gemma":[2.8982964e-7,0.0000544024,0.000038283684,0.0001403638,0.000023121413,0.000038498234,0.0000061572796,0.00005965197,0.000077366734],"study_design_candidate":"design_other","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":[0.000017879467,0.00003671031,0.051667057,0.000017923388,0.0000148911395,0.0000011351567,0.00028458703,0.04184784,0.0010174623,0.0003263631,0.00041487004,0.90435326],"study_design_scores_gemma":[0.00019279678,0.000028757078,0.106325895,0.000011564705,0.000012761089,0.000015066682,0.000037972557,0.8469453,0.00048509342,0.0008692143,0.044935547,0.00014002822],"about_ca_topic_score_codex":0.0023296163,"about_ca_topic_score_gemma":0.00082131586,"teacher_disagreement_score":0.90421325,"about_ca_system_score_codex":0.0000039770466,"about_ca_system_score_gemma":0.000017064105,"threshold_uncertainty_score":0.35216987},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968347,0.00013044487,0.0000018854678,0.00008065594,0.00066612015,0.00007373274,0.000063582724,0.0000133233,0.0021355387],"genre_scores_gemma":[0.9995507,0.000048442907,0.00012487927,0.000020945681,0.00009974872,1.7472955e-7,0.0000945273,0.000003437365,0.000057152054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914557,0.00005455326,0.00033383555,0.00018593912,0.000045534543,0.00023454646],"domain_scores_gemma":[0.99961656,0.000025079458,0.00011598577,0.00015438236,0.0000065062122,0.00008146631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025031282,0.000108039414,0.00027286317,0.00036488313,0.00002062453,0.000018919349,0.00011298282,0.000074408854,0.00022341103],"category_scores_gemma":[0.000011991852,0.00010113184,0.00005449908,0.00008599208,0.00008464424,0.000083708124,0.000009835823,0.00012727226,0.000054145003],"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":[0.000055991593,0.000009760678,0.99605733,0.000009841395,0.000005636951,0.00002251966,0.0004146251,0.00043537663,0.000005841083,0.000002302157,0.000075031814,0.002905725],"study_design_scores_gemma":[0.0005307332,0.00006115931,0.99563754,0.00001584833,0.0000027978197,0.000011554225,0.00009451783,0.0029180911,0.00003420577,0.0002281757,0.0003484255,0.00011693542],"about_ca_topic_score_codex":0.07924678,"about_ca_topic_score_gemma":0.02683242,"teacher_disagreement_score":0.052414365,"about_ca_system_score_codex":0.0000054062475,"about_ca_system_score_gemma":0.000037146438,"threshold_uncertainty_score":0.9909254},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8084697,0.00017960867,0.000011790904,0.00040901385,0.00022060913,0.00009481004,0.0000076209644,0.000058336638,0.19054852],"genre_scores_gemma":[0.9891834,0.000017326132,0.00086128863,0.00020386859,0.00043567948,2.8583676e-7,0.00015938707,0.0000041769713,0.00913454],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99847335,0.000110180685,0.00017260393,0.0002996924,0.00048804443,0.00045612542],"domain_scores_gemma":[0.9994294,0.0001623994,0.00003077459,0.00019498268,0.000077746095,0.00010470287],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046352082,0.00013200549,0.00012860411,0.00013438638,0.00042979652,0.00011888082,0.00016837742,0.000106503096,0.00044713542],"category_scores_gemma":[0.00001952537,0.00008522961,0.000042211672,0.00042687415,0.00005090862,0.00008061415,0.000009861981,0.00028427233,0.0022173699],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013765406,0.00019067976,0.1903989,0.000045887606,0.000054195898,0.0003935251,0.0006958152,0.00801163,0.00031911663,0.00049073115,0.24764112,0.5516207],"study_design_scores_gemma":[0.00018033941,0.00008656148,0.71098816,0.00003744806,0.000003320702,0.000016705642,0.00018140589,0.00039252744,0.0024513863,0.00022541326,0.2852539,0.00018283958],"about_ca_topic_score_codex":0.006696,"about_ca_topic_score_gemma":0.012639981,"teacher_disagreement_score":0.5514379,"about_ca_system_score_codex":0.000009552559,"about_ca_system_score_gemma":0.00005760962,"threshold_uncertainty_score":0.9999185},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419636,0.0009782233,0.00033429437,0.0004949581,0.000038501363,0.0001701868,0.000006506557,0.000006415349,0.0037745542],"genre_scores_gemma":[0.9971477,0.00034838758,0.0023447913,0.000008195281,0.000016790964,1.9172758e-7,0.000021951011,0.0000017608452,0.00011027999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888396,0.00024166664,0.00011112532,0.00013166304,0.00029044691,0.00034111008],"domain_scores_gemma":[0.9994236,0.00025718645,0.0000190524,0.00011679706,0.00005121383,0.00013209805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016638967,0.0000472867,0.00009757096,0.00029981823,0.000086855835,0.00003982167,0.00014135157,0.00007026803,0.00015224397],"category_scores_gemma":[0.00017110367,0.000036470483,0.000016157457,0.0007696085,0.00015249154,0.00020220364,0.000042895022,0.00020424032,0.000008082191],"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":[0.00005664746,0.000021663609,0.9733892,0.000016930211,0.0000036169308,0.0000013330924,0.00012210279,0.0034263446,0.00001687665,0.00017641428,0.000020629808,0.022748226],"study_design_scores_gemma":[0.00017125512,0.00006272139,0.85909134,0.000025097814,0.0000015376154,0.0000032263938,0.00011021305,0.13960874,0.0000033439617,0.00074067665,0.00013868077,0.000043176595],"about_ca_topic_score_codex":0.039668627,"about_ca_topic_score_gemma":0.012249337,"teacher_disagreement_score":0.1361824,"about_ca_system_score_codex":0.0000036064305,"about_ca_system_score_gemma":0.000028228922,"threshold_uncertainty_score":0.9667263},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99459785,0.000023392298,0.0002913901,0.000023818235,0.00023302936,0.00011434335,0.0000081447915,0.000032197426,0.0046758545],"genre_scores_gemma":[0.9994467,0.000012603757,0.00008178625,0.00006054379,0.00008169353,1.846733e-8,0.000026867701,0.0000016637898,0.00028812775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942297,0.000047309517,0.00013123237,0.0001492188,0.0001434488,0.00010582643],"domain_scores_gemma":[0.99972135,0.000044896333,0.00004357965,0.00011588081,0.000024724066,0.000049577844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007917276,0.00007095556,0.00009683341,0.00002824429,0.00006311541,0.000022720084,0.00004505746,0.000033119442,0.00024849048],"category_scores_gemma":[0.000014499739,0.000047718015,0.000026898791,0.00010499599,0.000017854232,0.00006400308,0.0000013526604,0.000054188447,0.000059170496],"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":[0.00018838952,0.00012531424,0.8876064,0.000001059398,0.00002073442,0.000017208898,0.0009116977,0.0019349603,0.0008183565,6.9763996e-7,0.00003873996,0.10833646],"study_design_scores_gemma":[0.0007060743,0.0005303242,0.9628233,0.0000059256954,0.000010988712,0.0000023435841,0.0006399883,0.0314309,0.0034984804,0.000014148018,0.0002609132,0.000076655044],"about_ca_topic_score_codex":0.011514296,"about_ca_topic_score_gemma":0.0076531223,"teacher_disagreement_score":0.108259805,"about_ca_system_score_codex":0.0000019938182,"about_ca_system_score_gemma":0.00000852638,"threshold_uncertainty_score":0.99506813},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99390143,0.0000835452,0.00461343,0.000113387985,0.00046967002,0.00015088009,0.000020407577,0.000019604804,0.0006276716],"genre_scores_gemma":[0.9986939,0.000053294643,0.0008332253,0.00004651264,0.00013454426,3.7078095e-7,0.00019395753,0.0000041565654,0.000040035546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910104,0.00008632682,0.00027995178,0.00015256766,0.00016325887,0.00021686473],"domain_scores_gemma":[0.9993472,0.00026429442,0.00016736897,0.00012582359,0.00005052241,0.000044796652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007816181,0.000083234125,0.00014192621,0.000066898945,0.0001492288,0.00004922444,0.000091488706,0.000054018343,0.000047418245],"category_scores_gemma":[0.00019415493,0.000064011416,0.000036537866,0.00014693869,0.00003272045,0.00008730881,0.000004740772,0.000090085894,0.0000103567745],"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":[0.00009192103,0.000007080269,0.7895642,0.000015676453,0.0000063302837,6.4022737e-7,0.00042945723,0.0008808306,0.000037266942,0.000032845357,0.000112862675,0.20882088],"study_design_scores_gemma":[0.00037251523,0.000082090766,0.9114473,0.000043606335,0.000008728736,0.0000015955289,0.00022026392,0.08376105,0.000049545954,0.00036281624,0.0035637752,0.00008675073],"about_ca_topic_score_codex":0.00070787646,"about_ca_topic_score_gemma":0.0026622957,"teacher_disagreement_score":0.20873414,"about_ca_system_score_codex":0.000008464225,"about_ca_system_score_gemma":0.000028875822,"threshold_uncertainty_score":0.26103097},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97975653,0.0007907384,0.016154986,0.000049992774,0.0008070172,0.00017498917,0.00006703383,0.00015688915,0.0020418158],"genre_scores_gemma":[0.8210976,0.000095233634,0.17820022,0.0000451052,0.00030581822,1.2697329e-7,0.000115266244,0.000014671433,0.00012596397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802125,0.00014785003,0.0003373404,0.00068171264,0.00025303237,0.0005588159],"domain_scores_gemma":[0.9988017,0.00011284025,0.00016835058,0.00065200514,0.000055166012,0.00020992628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070765306,0.00026625805,0.00026526474,0.00017093598,0.00051668414,0.00022049028,0.0003328919,0.00017047039,0.00022504949],"category_scores_gemma":[0.00016680249,0.00023801596,0.000046827125,0.00024943618,0.00013659906,0.0012242078,0.000061853556,0.00039713425,0.000060648683],"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":[0.0009997913,0.00044041342,0.5586298,0.00044594693,0.00044986204,0.0009939604,0.006126405,0.0027248696,0.07379312,0.00083429593,0.0012777556,0.35328376],"study_design_scores_gemma":[0.00081477774,0.000106996384,0.6750526,0.00014207317,0.00012482252,0.00028759433,0.00031964664,0.31695625,0.0030845855,0.00044375175,0.0020760135,0.00059089245],"about_ca_topic_score_codex":0.02281146,"about_ca_topic_score_gemma":0.0029458788,"teacher_disagreement_score":0.35269287,"about_ca_system_score_codex":0.000018635152,"about_ca_system_score_gemma":0.000054109154,"threshold_uncertainty_score":0.98369575},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968269,0.000047402955,0.0002441588,0.00061534677,0.00002794296,0.000040572606,6.951471e-7,0.00005424436,0.002142775],"genre_scores_gemma":[0.9919759,0.000020402933,0.0077243,0.00010690647,0.000009460366,1.6802902e-7,0.00007918704,7.13759e-7,0.000082940416],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99963737,0.000012567338,0.000114542854,0.00010128447,0.000065430235,0.00006881405],"domain_scores_gemma":[0.99987125,0.000008494166,0.000037701946,0.00003820308,0.000012838495,0.000031518026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006806359,0.000047997368,0.00006188902,0.000203339,0.000114794224,0.000045797,0.000015122148,0.000033934662,0.00013161295],"category_scores_gemma":[0.000003508182,0.00003940417,0.000007628092,0.00024527436,0.000018211358,0.00016927818,0.000001567508,0.000025952564,0.000034122808],"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":[0.0000024705348,0.0000021731187,0.25061357,0.0000019202748,0.000022494372,1.6028838e-7,0.0006097811,0.000037756774,0.000030135438,0.00004261416,0.000009724167,0.7486272],"study_design_scores_gemma":[0.00017077423,0.000020011988,0.8815884,0.0000029416885,0.000028627053,0.000005091739,0.0005460432,0.11471833,0.00094244204,0.00006382015,0.0018551723,0.000058365775],"about_ca_topic_score_codex":0.0000908885,"about_ca_topic_score_gemma":0.0014992963,"teacher_disagreement_score":0.74856883,"about_ca_system_score_codex":0.00000247285,"about_ca_system_score_gemma":0.00000840237,"threshold_uncertainty_score":0.16068555},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99391353,0.000023537348,0.00021818519,0.00061962835,0.00042780305,0.00017982165,0.000007960543,0.000025512541,0.004583991],"genre_scores_gemma":[0.9990665,0.0000016504927,0.0001821204,0.0003141272,0.00014457731,1.6910402e-8,0.000023018982,0.0000059295085,0.00026208817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987391,0.00020099459,0.00017051888,0.00018058183,0.00036408065,0.0003447165],"domain_scores_gemma":[0.9991238,0.00030226354,0.000041529456,0.00041791415,0.0000292266,0.00008523949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007777968,0.00014611136,0.00015916023,0.000067092995,0.00024985103,0.000058411923,0.00012107377,0.000051104376,0.00025205733],"category_scores_gemma":[0.00004772795,0.00006176144,0.00006152318,0.00007936032,0.00005232238,0.00009531358,0.000012722044,0.00014863633,0.00018892786],"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":[0.0005557832,0.00020524666,0.8561694,0.00002654079,0.00008549585,0.00005577,0.0063517937,0.0057835146,0.0004103779,0.000014662534,0.001209358,0.12913206],"study_design_scores_gemma":[0.00035607017,0.0005755964,0.9582088,0.000069736554,0.000025332318,0.000005308379,0.0006909226,0.035828914,0.001473959,0.00049411,0.0020768235,0.0001944049],"about_ca_topic_score_codex":0.0023044292,"about_ca_topic_score_gemma":0.0010029881,"teacher_disagreement_score":0.12893766,"about_ca_system_score_codex":0.0000034008472,"about_ca_system_score_gemma":0.000006963243,"threshold_uncertainty_score":0.3483623},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9510841,0.011645373,0.00025454373,0.0001372802,0.0021164834,0.00028901745,0.000024389636,0.0000973219,0.03435154],"genre_scores_gemma":[0.99394387,0.0024713022,0.0026415805,0.000112953945,0.0004473075,1.2713214e-8,0.000026621019,0.000008563447,0.00034776598],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989337,0.00006312024,0.00024151296,0.00022608679,0.0002772803,0.00025830418],"domain_scores_gemma":[0.9991642,0.000076940305,0.00014809537,0.00036910278,0.00010155857,0.00014007512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033458375,0.00014725847,0.00028693097,0.000059743834,0.00010630915,0.000056261266,0.00011441099,0.00006909544,0.00007158036],"category_scores_gemma":[0.00007600772,0.00009985713,0.000057843263,0.0002259959,0.000066232955,0.000105852276,0.000006581383,0.00023893634,0.000041309915],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001497483,0.000025298983,0.13071471,0.0072340877,0.00014120126,0.00026054122,0.00045323357,0.0012076168,0.0028201295,0.00004317381,0.0024597936,0.85449046],"study_design_scores_gemma":[0.0023419138,0.00097551744,0.31954727,0.058403872,0.0005066831,0.0016762959,0.0009622107,0.14673401,0.0055905925,0.00018418289,0.46072564,0.002351835],"about_ca_topic_score_codex":0.0070052785,"about_ca_topic_score_gemma":0.00080154085,"teacher_disagreement_score":0.85213864,"about_ca_system_score_codex":0.0000025292002,"about_ca_system_score_gemma":0.0000518205,"threshold_uncertainty_score":0.99960715},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893353,0.0002454829,0.000026118152,0.00016734152,0.0001983311,0.00005973327,0.00019759701,0.00001917501,0.009750937],"genre_scores_gemma":[0.99650395,0.00002458616,0.0008725973,0.00019480819,0.00022804104,2.0297588e-8,0.00016009125,0.0000020394652,0.002013879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938273,0.000020710175,0.00016419168,0.00015109622,0.00012620384,0.0001550358],"domain_scores_gemma":[0.9996718,0.0000482786,0.00003973987,0.00008521094,0.000057497116,0.000097453216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000669764,0.00008287127,0.00015014432,0.000046640085,0.000043444554,0.000029928122,0.000056164132,0.000040582716,0.00090262736],"category_scores_gemma":[0.00003324213,0.000060716167,0.000013720006,0.0001601147,0.000019676396,0.00004659871,0.000006106029,0.000051358402,0.00013193466],"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":[0.000055023953,0.000015325075,0.90576607,0.0000073991396,0.000012031309,0.000019296227,0.00010507684,0.000025056032,0.00032020308,0.00012318487,0.019438045,0.07411331],"study_design_scores_gemma":[0.000121055935,0.000049964703,0.97505575,0.000011069964,0.000009044482,0.000003902889,0.000014544069,0.0023302103,0.00063401496,0.00004299466,0.021631228,0.00009620491],"about_ca_topic_score_codex":0.039571084,"about_ca_topic_score_gemma":0.012549101,"teacher_disagreement_score":0.0740171,"about_ca_system_score_codex":0.0000013724215,"about_ca_system_score_gemma":0.000034557255,"threshold_uncertainty_score":0.9883137},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97435635,0.00012224923,0.000001253823,0.000029596149,0.00016912275,0.00011247442,0.000014683639,0.000012434217,0.02518183],"genre_scores_gemma":[0.9996774,0.000014751586,0.000045262877,0.000042177984,0.00007069514,1.8104672e-7,0.000076511584,0.0000023151786,0.00007070332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912935,0.000084480795,0.00018145605,0.00015971113,0.00028895127,0.00015606219],"domain_scores_gemma":[0.99968374,0.000020908723,0.00007058975,0.00013363287,0.000045941662,0.000045199882],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021872146,0.000089429705,0.00012274644,0.000056985315,0.000034014123,0.000012101776,0.000075958465,0.000081303435,0.0010048647],"category_scores_gemma":[0.000023791108,0.000056477653,0.000038128255,0.00009123978,0.000018199824,0.000065966204,0.0000020844907,0.00010770395,0.00012755458],"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":[0.0001403668,0.000031067717,0.9744139,0.000005129478,0.000012272045,0.000013388715,0.0031987124,0.0006428033,0.00004919844,0.0000022828847,0.0004894199,0.021001471],"study_design_scores_gemma":[0.00034533703,0.00011864518,0.995532,0.000035108016,0.000015258711,0.000004905683,0.00053968077,0.0026577874,0.0003745519,0.00012126945,0.00016615007,0.000089350535],"about_ca_topic_score_codex":0.0039045135,"about_ca_topic_score_gemma":0.09239285,"teacher_disagreement_score":0.08848833,"about_ca_system_score_codex":0.0000025772622,"about_ca_system_score_gemma":0.00002133041,"threshold_uncertainty_score":0.9999083},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735508,0.000109326575,0.000109028144,0.0026230256,0.00016638596,0.00021237675,0.000020732306,0.00001986864,0.023188435],"genre_scores_gemma":[0.998708,0.000040452273,0.00013710691,0.000283404,0.0003266501,4.126145e-7,0.000046249923,0.0000041798326,0.00045354292],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99808824,0.00049362675,0.00013496549,0.00019564356,0.00071857247,0.00036897897],"domain_scores_gemma":[0.9983417,0.0010813248,0.000039192044,0.0003780841,0.000067312125,0.000092398404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002143767,0.000083025305,0.00012676303,0.0001274289,0.00023453754,0.000062928004,0.000234004,0.00006067077,0.0005891565],"category_scores_gemma":[0.00021406508,0.000047545633,0.000048027716,0.0003259788,0.00016252013,0.00008324375,0.000012525985,0.00030769984,0.0002448621],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057652657,0.00014562323,0.44938523,0.0001231876,0.000033263157,0.00003894215,0.0014270878,0.0022920584,0.00012302495,0.0005141281,0.015114362,0.5302266],"study_design_scores_gemma":[0.00045445067,0.0005692318,0.6445771,0.00006846068,0.0000038030457,0.0000015241233,0.00008617222,0.30859336,0.0006993784,0.0003195925,0.0445136,0.000113326794],"about_ca_topic_score_codex":0.015996087,"about_ca_topic_score_gemma":0.0066610975,"teacher_disagreement_score":0.5301132,"about_ca_system_score_codex":0.000004138087,"about_ca_system_score_gemma":0.00005790438,"threshold_uncertainty_score":0.9905565},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910894,0.00014382663,0.000027044782,0.00011910118,0.0005982224,0.00014633071,0.000007982003,0.00008573116,0.0077823796],"genre_scores_gemma":[0.9984314,0.000019766143,0.00017682815,0.0007061234,0.00021597104,1.2117403e-7,0.000019663654,0.00000936806,0.00042075824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860835,0.00017523914,0.00018160968,0.00038440753,0.00030379026,0.0003466084],"domain_scores_gemma":[0.99929345,0.00021856297,0.000066280365,0.00026204143,0.000019211999,0.00014045014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005152934,0.00018719434,0.00022487855,0.00012123877,0.00019574715,0.00016932648,0.00013446902,0.00006414001,0.00014051741],"category_scores_gemma":[0.00009023113,0.00014852242,0.000051897317,0.00015660975,0.000048659473,0.0001492832,0.000015345042,0.00026401939,0.00018819583],"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":[0.00008321775,0.000057408895,0.79547554,0.000016084434,0.000052897594,0.000057003723,0.0025986277,0.0004038394,0.00011791945,0.00005302623,0.0008382972,0.20024614],"study_design_scores_gemma":[0.0006296453,0.00031642878,0.98638225,0.000036786398,0.000024922776,0.000016453709,0.00039670523,0.008104868,0.000024166024,0.00011255915,0.0037297597,0.00022548025],"about_ca_topic_score_codex":0.0015180993,"about_ca_topic_score_gemma":0.0015810855,"teacher_disagreement_score":0.20002066,"about_ca_system_score_codex":0.000004383145,"about_ca_system_score_gemma":0.000014008472,"threshold_uncertainty_score":0.60565686},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97659886,0.000038056987,0.021560647,0.0006305448,0.00023899764,0.00010602877,0.000031052557,0.00006293772,0.0007328874],"genre_scores_gemma":[0.99862754,0.00005885032,0.00094074226,0.000094731244,0.000020505422,3.8488346e-7,0.0002510335,9.572339e-7,0.0000052800688],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993346,0.000021494356,0.00027659422,0.00004263021,0.00014921257,0.00017551237],"domain_scores_gemma":[0.9993846,0.00013669553,0.00023916125,0.00015897716,0.00004392323,0.000036641024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030426044,0.000072086994,0.00012937238,0.00033560646,0.00017776633,0.000031418807,0.000068296045,0.00011144553,0.000034187335],"category_scores_gemma":[0.00009239497,0.000046166915,0.00003160801,0.0004279133,0.00007141197,0.000296943,0.0000052171786,0.00009889967,0.00003093623],"study_design_candidate":"design_other","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":[0.000056882174,0.000013655283,0.1631005,0.000015728694,0.000086691616,1.3061829e-7,0.0002590058,0.00893106,0.000012839145,0.00066388544,0.000050825154,0.8268088],"study_design_scores_gemma":[0.00010266273,0.000054885615,0.5037042,0.0000047243466,0.000068367684,0.0000015330264,0.000102657126,0.49442083,0.00017914765,0.0001287439,0.0011876919,0.00004457694],"about_ca_topic_score_codex":0.0013579786,"about_ca_topic_score_gemma":0.00094634434,"teacher_disagreement_score":0.8267642,"about_ca_system_score_codex":0.000005624291,"about_ca_system_score_gemma":0.000011294529,"threshold_uncertainty_score":0.20528664},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044603772,0.000032214273,0.9396588,0.0005390126,0.00005130686,0.00037447177,0.000022816663,0.000121188445,0.014596405],"genre_scores_gemma":[0.93062997,0.0000011557712,0.06734728,0.0011152508,0.0004642086,6.2482604e-7,0.00026773737,0.0000035269575,0.00017027049],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993575,0.000016201215,0.00014712452,0.00019768106,0.00010419944,0.00017725055],"domain_scores_gemma":[0.99962157,0.00009368539,0.00004383008,0.00014644754,0.000023576682,0.00007086926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017902185,0.00008636215,0.00007675758,0.000112008674,0.0001877379,0.000049715298,0.000101063124,0.00006132108,0.000113587324],"category_scores_gemma":[5.7732166e-7,0.00007192254,0.00004652262,0.00023323036,0.00001903272,0.000034196142,0.00000282221,0.00009481948,0.0002843977],"study_design_candidate":"design_other","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":[0.00001201849,0.000015199682,0.0072237374,0.000003668104,0.000003035844,0.0000015177109,0.00006912333,0.0038883383,0.00019847284,0.000036925616,0.00071124325,0.9878367],"study_design_scores_gemma":[0.00025971432,0.000020296475,0.33219653,0.0000064415412,0.0000036370898,0.0000044523003,0.000015263875,0.057368193,0.0002070505,0.00015276177,0.6096534,0.0001122534],"about_ca_topic_score_codex":0.0000837792,"about_ca_topic_score_gemma":0.00015564883,"teacher_disagreement_score":0.9877245,"about_ca_system_score_codex":0.0000047575954,"about_ca_system_score_gemma":0.000015995762,"threshold_uncertainty_score":0.3655452},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17014657,0.000022284341,0.82549506,0.00017376956,0.00005910721,0.0003608572,0.000017238051,0.00012956026,0.0035955652],"genre_scores_gemma":[0.97963107,0.0000043194495,0.019306302,0.00044036703,0.0003234126,0.000002412241,0.0001535308,0.000004092795,0.00013448892],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993352,0.000036483423,0.00014319934,0.00022572736,0.000117303716,0.00014203857],"domain_scores_gemma":[0.9996078,0.00006695288,0.000047967937,0.00017767465,0.00003195217,0.000067643035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000660154,0.000095131654,0.00008601588,0.000094136725,0.00031851296,0.000028769633,0.00008634981,0.00005808251,0.00012061785],"category_scores_gemma":[7.1560146e-7,0.000080716694,0.00005476081,0.00017174377,0.00003034295,0.0000449405,0.000002755556,0.00008929911,0.0005430332],"study_design_candidate":"design_other","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":[0.000026230671,0.000031166303,0.01066656,0.0000028697282,0.0000048363395,0.0000022439012,0.0000671128,0.015025108,0.00033906804,0.0000033847716,0.00037202152,0.9734594],"study_design_scores_gemma":[0.0004800649,0.00007640104,0.4381825,0.000005142541,0.000008955781,0.000028540142,0.0000038120766,0.38332424,0.0019212891,0.000090072026,0.17571402,0.00016495702],"about_ca_topic_score_codex":0.0006404842,"about_ca_topic_score_gemma":0.00046644264,"teacher_disagreement_score":0.97329444,"about_ca_system_score_codex":0.000006074335,"about_ca_system_score_gemma":0.000023285334,"threshold_uncertainty_score":0.6979774},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99000996,0.00041013642,0.00082659716,0.00016847192,0.00028664555,0.00011381733,0.0000035392582,0.000016590002,0.008164229],"genre_scores_gemma":[0.9980025,0.00003619667,0.0016686519,0.00013600771,0.000067921195,1.8648027e-8,0.00006753148,0.0000024858964,0.000018669412],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99920416,0.00015154362,0.00018092296,0.00015538457,0.00015652874,0.00015144557],"domain_scores_gemma":[0.9995037,0.000095894015,0.00008894454,0.00020841487,0.000059419308,0.00004365748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041656685,0.00008183237,0.00012762066,0.00009543804,0.000047473863,0.000027737238,0.000102431906,0.00006897433,0.000007458504],"category_scores_gemma":[0.0000898789,0.00005571715,0.00003418318,0.00028625512,0.00008477739,0.000063863015,0.0000026139617,0.00010943014,0.000023081928],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039868793,0.00006148845,0.10274778,0.00009006098,0.000057690126,0.00008721629,0.024755634,0.0057524475,0.004756555,0.00009675299,0.00080253964,0.86039317],"study_design_scores_gemma":[0.0012147827,0.0002835892,0.8564314,0.000056558743,0.000032603726,0.000079055586,0.0032446692,0.12373646,0.00138859,0.0068532284,0.006433036,0.00024601666],"about_ca_topic_score_codex":0.0072152847,"about_ca_topic_score_gemma":0.00580086,"teacher_disagreement_score":0.8601471,"about_ca_system_score_codex":0.0000034647915,"about_ca_system_score_gemma":0.000041441825,"threshold_uncertainty_score":0.9993957},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96377623,0.00024575254,0.00015781833,0.000027692975,0.00018050178,0.00007434279,0.000018250892,0.000045585122,0.035473824],"genre_scores_gemma":[0.9985057,0.000011583543,0.0010593912,0.00010893548,0.000030495205,4.7587108e-8,0.000023903991,0.000004675028,0.00025525864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909335,0.00007324974,0.00019478325,0.00019601898,0.00018718593,0.0002554273],"domain_scores_gemma":[0.99952114,0.000038736707,0.000090516616,0.00020270431,0.000039890685,0.000107030624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022715773,0.000114453745,0.00016940081,0.000046733072,0.000075000724,0.000017503444,0.00013235802,0.000091861475,0.00023043694],"category_scores_gemma":[0.00005033819,0.00009232264,0.000054443237,0.00015726629,0.000056669327,0.000084769024,0.000008997173,0.00014383794,0.00009802638],"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":[0.00010639495,0.000036350113,0.96830034,0.000031085,0.000049020542,0.00003722683,0.0018394085,0.00009288697,0.013299726,0.000009804765,0.00013828721,0.016059453],"study_design_scores_gemma":[0.0005257082,0.0001878968,0.95870745,0.000029545145,0.000028704522,0.000025023699,0.0004095735,0.008258173,0.030135218,0.0006211365,0.0008026925,0.0002688576],"about_ca_topic_score_codex":0.0178279,"about_ca_topic_score_gemma":0.0011912393,"teacher_disagreement_score":0.035218563,"about_ca_system_score_codex":0.0000019818604,"about_ca_system_score_gemma":0.00002777433,"threshold_uncertainty_score":0.9887125},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894611,0.00019711061,0.000011775936,0.00016268238,0.0001798502,0.0001262831,0.000009273909,0.000007941326,0.009843943],"genre_scores_gemma":[0.99950963,0.00005415835,0.000024058709,0.000037684596,0.00022420209,1.5068491e-7,0.00003896757,0.000002777071,0.000108373206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896204,0.00024342597,0.00017087467,0.000120817145,0.0002565985,0.00024623593],"domain_scores_gemma":[0.99906564,0.00065867003,0.000056620403,0.00012661809,0.000041772757,0.000050686664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014464785,0.00007097903,0.00010131419,0.00015749625,0.00012380182,0.000033136457,0.00006667859,0.00009359557,0.00013837751],"category_scores_gemma":[0.00018164676,0.000043505817,0.000012964161,0.00039049538,0.000057672663,0.00013910349,0.000009438513,0.00026654292,0.000015765507],"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":[0.000059548038,0.000015426056,0.8816354,0.000006871689,0.000004634956,0.000001258808,0.0006983188,0.0002921006,0.00003156988,0.000053438373,0.00047959987,0.11672178],"study_design_scores_gemma":[0.00037092326,0.00014682784,0.9872098,0.000082555845,0.0000037427758,0.000004734155,0.0013563412,0.00817554,0.000350512,0.00006679833,0.0021552874,0.00007696738],"about_ca_topic_score_codex":0.0010115998,"about_ca_topic_score_gemma":0.0010846796,"teacher_disagreement_score":0.11664481,"about_ca_system_score_codex":0.000002528768,"about_ca_system_score_gemma":0.00002365641,"threshold_uncertainty_score":0.17741159},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968927,0.00008780857,0.00011720996,0.00022335706,0.000016037879,0.000040143597,0.00002066375,0.0000106275675,0.0025914775],"genre_scores_gemma":[0.99912935,0.000015853648,0.00048435738,0.00021893934,0.00001067764,1.16266445e-8,0.000079915946,6.267855e-7,0.000060261824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990706,0.00017682595,0.00025927546,0.00018271254,0.00016367734,0.0001468949],"domain_scores_gemma":[0.99957985,0.00013308198,0.000083827756,0.000114818155,0.000019889378,0.00006856447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054847583,0.00007705966,0.00035352615,0.00043119112,0.00003971738,0.000020630334,0.00006258217,0.000044084252,0.000044859076],"category_scores_gemma":[0.00003158835,0.00005849274,0.000108811764,0.0014946272,0.000027751794,0.000048181402,0.0000032738274,0.000082559476,0.0000028899024],"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":[0.000059881633,0.000021121632,0.97293943,0.000004950509,0.0003750481,0.000003427733,0.0008496894,0.017341385,0.0002616163,0.0000062762347,0.0000022130343,0.008134938],"study_design_scores_gemma":[0.00019507302,0.00003117695,0.88417697,0.0000028772015,0.0005263443,4.723222e-7,0.000084718566,0.114841476,0.000020691907,0.000030156647,0.000018581473,0.00007143828],"about_ca_topic_score_codex":0.007879715,"about_ca_topic_score_gemma":0.020794487,"teacher_disagreement_score":0.09750009,"about_ca_system_score_codex":0.00000228455,"about_ca_system_score_gemma":0.000008554171,"threshold_uncertainty_score":0.9987269},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920077,0.00028645762,0.0016299494,0.00022565952,0.00026299112,0.00025835607,0.000002901083,0.00002159957,0.0053044413],"genre_scores_gemma":[0.9990933,0.000011306455,0.0007123093,0.0000061269525,0.000049386093,3.5964163e-7,0.000036255202,0.000002012505,0.00008897405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898845,0.000104981664,0.0003751687,0.00014154983,0.00020035263,0.00018951713],"domain_scores_gemma":[0.9989501,0.00069993915,0.00012390294,0.00017612713,0.0000103833045,0.000039518098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00228339,0.00006656613,0.00010603773,0.0006384079,0.00010781354,0.00003312826,0.0001312198,0.00005306828,0.000006787184],"category_scores_gemma":[0.00019629358,0.00004650702,0.000024853363,0.0021793698,0.00003452246,0.00008782614,0.000004056704,0.00015865096,0.000037764614],"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":[0.000053648615,0.000013132833,0.8072428,0.0000058841365,0.0000024810968,0.0000028392592,0.00009633238,0.0021302977,0.0001080446,0.00008530192,0.000063106345,0.1901961],"study_design_scores_gemma":[0.00027774338,0.000018194138,0.85933524,0.000024137675,0.0000024803505,0.000002278348,0.000057967125,0.13414276,0.00021181666,0.00089464517,0.0049694227,0.00006329298],"about_ca_topic_score_codex":0.007937993,"about_ca_topic_score_gemma":0.32313454,"teacher_disagreement_score":0.31519654,"about_ca_system_score_codex":0.000014316305,"about_ca_system_score_gemma":0.000026404865,"threshold_uncertainty_score":0.99866825},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95327765,0.00040144598,0.024323607,0.0020735331,0.0006205404,0.00025380496,0.000012081647,0.00009658579,0.018940743],"genre_scores_gemma":[0.99297005,0.000008484935,0.0059918338,0.00027622268,0.00029738926,4.986022e-8,0.000019581905,0.0000045372444,0.00043187244],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99884427,0.00010643698,0.00017107498,0.00024513458,0.0002096619,0.00042343026],"domain_scores_gemma":[0.99945885,0.00018784584,0.000036705977,0.00018450251,0.00001176655,0.00012034302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005905273,0.0001320375,0.00013741707,0.00018536307,0.00007750677,0.000048784666,0.0001377559,0.00009518202,0.0004564461],"category_scores_gemma":[0.000050895724,0.00009634198,0.000049993134,0.00024048975,0.000040881936,0.000048793507,0.000005625991,0.00028132246,0.00021051314],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00141171,0.00005792567,0.1923487,0.000050789735,0.000041606825,0.0017192932,0.00906534,0.07279152,0.0011695237,0.00003910719,0.013521199,0.7077833],"study_design_scores_gemma":[0.0005952647,0.00018661609,0.97669137,0.000046646262,0.000008965155,0.00010290634,0.00023410648,0.0046750614,0.0008774737,0.0031894974,0.013085095,0.00030700566],"about_ca_topic_score_codex":0.001856068,"about_ca_topic_score_gemma":0.023343828,"teacher_disagreement_score":0.78434265,"about_ca_system_score_codex":0.000003537243,"about_ca_system_score_gemma":0.000029813726,"threshold_uncertainty_score":0.9944776},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977223,0.0002619076,0.0000049015443,0.0002970834,0.00044222866,0.00016417069,0.000054100125,0.00003278427,0.001020483],"genre_scores_gemma":[0.9980452,0.00024145583,0.0008177358,0.00027468946,0.0004343131,8.747482e-7,0.00013287512,0.000008965532,0.000043864224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870205,0.000060438797,0.00034421845,0.0002873056,0.0002236771,0.0003822968],"domain_scores_gemma":[0.9992637,0.0001829823,0.00017362172,0.00021109535,0.000022446766,0.0001461764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044732005,0.00018562925,0.00033163468,0.00024316985,0.00011447153,0.000053043776,0.00013332287,0.00013726445,0.00027406172],"category_scores_gemma":[0.00007263067,0.00015873062,0.00005005092,0.00023907093,0.00011478127,0.00022049935,0.000017374938,0.00030729364,0.000024019198],"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":[0.00004190058,0.000022170974,0.6798869,0.00009374228,0.000010433729,0.0000346052,0.005103333,0.0000013150232,0.0005085972,0.000038554623,0.00003302406,0.31422547],"study_design_scores_gemma":[0.00033863736,0.00007949503,0.9863091,0.0001569661,0.000016588581,0.000055630953,0.00023151754,0.011076747,0.00007511308,0.00009488722,0.0013571393,0.0002081687],"about_ca_topic_score_codex":0.00351115,"about_ca_topic_score_gemma":0.01650896,"teacher_disagreement_score":0.3140173,"about_ca_system_score_codex":0.0000032014748,"about_ca_system_score_gemma":0.000015204928,"threshold_uncertainty_score":0.92123866},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99892646,0.00003284809,0.000013684217,0.0000045149955,0.000116339965,0.00019042044,0.00006728866,0.0000045118263,0.0006439598],"genre_scores_gemma":[0.99991256,0.0000023282878,0.00006536347,0.0000011528504,0.000009798356,1.0312741e-7,0.0000061819924,0.0000013122608,0.0000011873082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991459,0.00017719771,0.00038587252,0.0001288441,0.00007437568,0.00008779226],"domain_scores_gemma":[0.9992084,0.00016918013,0.00029360421,0.00027865494,0.000022168073,0.000027982072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053331035,0.000070563416,0.00026756898,0.000096423944,0.000025767646,0.0000039103465,0.000109776156,0.000035401845,0.000021060925],"category_scores_gemma":[0.000023769224,0.000048238384,0.000080719634,0.00012423372,0.00008707252,0.0000440561,0.000010002276,0.00005044591,8.2793275e-7],"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":[0.000024912095,0.000045893652,0.981012,0.000080771766,0.000020094463,0.0000018376986,0.0007416636,0.015868962,0.0000015152438,0.0000036131303,0.000004897172,0.002193856],"study_design_scores_gemma":[0.00046342245,0.00014879165,0.949887,0.000025487969,0.000021438958,0.000009355239,0.0005831829,0.048686348,0.00009679056,0.000029696703,0.0000041552944,0.00004433873],"about_ca_topic_score_codex":0.0797295,"about_ca_topic_score_gemma":0.020958178,"teacher_disagreement_score":0.058771316,"about_ca_system_score_codex":0.0000031329794,"about_ca_system_score_gemma":0.000016806067,"threshold_uncertainty_score":0.99690676},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730698,0.00027903027,0.0072876336,0.0025797044,0.0009851985,0.0003079474,0.00007509271,0.000024949755,0.015390663],"genre_scores_gemma":[0.9989062,0.000019954396,0.00069600047,0.00013315825,0.00017091658,6.601497e-8,0.000018876635,0.0000024486076,0.000052372285],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999164,0.00010929442,0.00018573669,0.00011101635,0.0002656117,0.00016435921],"domain_scores_gemma":[0.99936956,0.00030802863,0.00010865763,0.00016830933,0.000008174549,0.000037246627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004499806,0.00008212814,0.00009165033,0.000032192253,0.00010941812,0.000016076676,0.0002644989,0.000051684132,0.0001195363],"category_scores_gemma":[0.000025705196,0.00003821434,0.00006891504,0.0000942145,0.00017144401,0.000022621716,0.000007404387,0.0001464963,0.0000033193267],"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":[0.0007933779,0.000038991424,0.11122213,0.000026591213,0.0001425488,0.000009249858,0.011786701,0.017755164,0.005992534,0.00023929207,0.0023394143,0.849654],"study_design_scores_gemma":[0.00048882904,0.00024530623,0.95843947,0.00005934216,0.000019862857,0.00004243019,0.00096816884,0.0066343388,0.002676603,0.0025266013,0.027754486,0.00014454835],"about_ca_topic_score_codex":0.00021369946,"about_ca_topic_score_gemma":0.0017402783,"teacher_disagreement_score":0.8495095,"about_ca_system_score_codex":0.0000026791465,"about_ca_system_score_gemma":0.000015092446,"threshold_uncertainty_score":0.15583356},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419,0.00007409988,0.000019859932,0.0006150305,0.00018133082,0.000096437194,0.000025568876,0.000014012052,0.0047836835],"genre_scores_gemma":[0.9996187,0.000019726906,0.00015710096,0.00002250638,0.000053893073,2.095472e-7,0.00007162197,0.0000021171895,0.000054119253],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99932826,0.000048833284,0.00018849551,0.000107727516,0.00013396986,0.0001927444],"domain_scores_gemma":[0.999593,0.00010597836,0.00005948254,0.00018444589,0.000016346637,0.000040698327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002633601,0.000077435434,0.00009226422,0.000099079,0.000095338095,0.000027617105,0.00015334453,0.00006245235,0.00003580178],"category_scores_gemma":[0.00012417763,0.000043617907,0.000032324337,0.00030124144,0.000057786954,0.000046376976,0.000006826705,0.00039226556,0.00001864587],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025021975,0.000008478165,0.34195247,0.0000068607706,0.0000019945696,0.000005198149,0.0008847502,0.007556853,0.00018240018,0.000009319788,0.000011115058,0.64935553],"study_design_scores_gemma":[0.00015015976,0.000027734724,0.9889433,0.00002297518,0.0000016439914,0.000013583871,0.00009203588,0.0071595265,0.0000735004,0.0009177107,0.0025310647,0.00006677687],"about_ca_topic_score_codex":0.0065151085,"about_ca_topic_score_gemma":0.5877955,"teacher_disagreement_score":0.6492888,"about_ca_system_score_codex":0.0000026519615,"about_ca_system_score_gemma":0.000032106953,"threshold_uncertainty_score":0.98489386},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97681165,0.000011673724,0.0002077016,0.00007472969,0.000064062726,0.00007904192,0.0000061036253,0.000015259235,0.022729792],"genre_scores_gemma":[0.99778724,0.000003642398,0.0014488718,0.00002646426,0.000020998172,4.8028248e-8,0.000051582047,0.0000013350442,0.0006598338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999533,0.00003457948,0.00013547845,0.00008294883,0.00013706391,0.00007693174],"domain_scores_gemma":[0.99967766,0.000095322415,0.000060258655,0.000098553595,0.00003750451,0.000030707768],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008057263,0.00004626479,0.000080013706,0.00005689494,0.00002810327,0.0000114690965,0.00003494805,0.000031621963,0.0010892552],"category_scores_gemma":[0.00003546024,0.000033059154,0.000028874048,0.0000894419,0.000018409306,0.000079813144,0.0000012374877,0.00003084277,0.00005144174],"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":[0.00013978737,0.00009143064,0.5301873,0.00022907015,0.000027343478,0.000005163415,0.0014773101,0.25253293,0.0066477167,0.000050908442,0.0007610959,0.20784996],"study_design_scores_gemma":[0.00015001633,0.000063233696,0.8303477,0.000028532804,0.0000034455284,3.1671502e-7,0.00002559428,0.16633108,0.0028250294,0.000062860796,0.0001222534,0.00003990069],"about_ca_topic_score_codex":0.003718754,"about_ca_topic_score_gemma":0.0025845591,"teacher_disagreement_score":0.30016044,"about_ca_system_score_codex":9.2029563e-7,"about_ca_system_score_gemma":0.000008489399,"threshold_uncertainty_score":0.99982387},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99553466,0.000022466953,0.00019981759,0.00017235852,0.00003886497,0.00008868315,0.0000020535067,0.000016893597,0.003924177],"genre_scores_gemma":[0.99536645,0.000007949163,0.0044988426,0.000039347146,0.000033898188,1.806117e-7,0.000012750761,0.0000013071269,0.000039297418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999638,0.000013260074,0.00009479951,0.0001043013,0.00006216578,0.00008747002],"domain_scores_gemma":[0.9997581,0.000069411835,0.00004033964,0.0000910658,0.000012944402,0.000028129407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002055922,0.000042481533,0.00006834929,0.000048269034,0.000026078182,0.0000085764805,0.000045296707,0.000051732033,0.000014312219],"category_scores_gemma":[0.00003389489,0.00003412805,0.000010571529,0.00009049014,0.000036986603,0.000034361597,0.0000039834545,0.00011455604,0.000006423463],"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":[0.000009699109,0.0000052501623,0.9247402,0.000010282951,0.0000011735655,0.0000012980531,0.00009618442,0.000033890843,0.028444523,0.000054923632,0.000013506737,0.046589047],"study_design_scores_gemma":[0.00008400615,0.000013123295,0.9886162,0.000012160209,0.0000012903929,0.000014276882,0.000017822716,0.008333937,0.0010276376,0.00080279534,0.0010305573,0.000046141544],"about_ca_topic_score_codex":0.0033581555,"about_ca_topic_score_gemma":0.0043557785,"teacher_disagreement_score":0.06387603,"about_ca_system_score_codex":5.117732e-7,"about_ca_system_score_gemma":0.000011476509,"threshold_uncertainty_score":0.5076549},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9452673,0.0013003419,0.026334364,0.0023304662,0.002037991,0.00082850776,0.000037928206,0.00017881165,0.021684276],"genre_scores_gemma":[0.99812764,0.0001206221,0.00039215325,0.000702637,0.00020245516,7.1673475e-7,0.00004693508,0.000006287897,0.00040056527],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99922657,0.00006943718,0.00012601551,0.00019722563,0.00016379096,0.00021695752],"domain_scores_gemma":[0.9989334,0.00071018207,0.00007014421,0.0001920164,0.000038332593,0.00005593246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046429856,0.000109860295,0.00008359173,0.000044031724,0.00081347703,0.00009840636,0.00010330916,0.000053760352,0.0001176293],"category_scores_gemma":[0.000102587415,0.00005684988,0.000050430994,0.000117028525,0.000088702276,0.00008808314,0.000004605332,0.00008782735,0.000026018595],"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":[0.0014068839,0.000036596168,0.31301352,0.00005775714,0.00009956366,0.00000871142,0.0035913426,0.005526578,0.000038994207,0.0011678415,0.013223758,0.66182846],"study_design_scores_gemma":[0.0004582009,0.00025570052,0.6917206,0.000048947782,0.000054163702,0.000007306272,0.00046370763,0.27915123,0.000074177886,0.0011265404,0.026480291,0.0001591263],"about_ca_topic_score_codex":0.00065903337,"about_ca_topic_score_gemma":0.0013490876,"teacher_disagreement_score":0.6616693,"about_ca_system_score_codex":0.000002633583,"about_ca_system_score_gemma":0.000023657758,"threshold_uncertainty_score":0.62566894},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970482,0.00025193478,0.00002191338,0.00016342613,0.00012759428,0.000075521435,0.0000026113185,0.0000054744833,0.0023033076],"genre_scores_gemma":[0.99958926,0.0002289434,0.0000097037855,0.000032799442,0.000030568197,5.5478562e-8,0.000007823863,0.0000013469864,0.000099485325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999327,0.00013357718,0.00018102849,0.00008581749,0.000092281036,0.00018030363],"domain_scores_gemma":[0.99960613,0.00020997469,0.00005605757,0.00008524683,0.000010748544,0.000031851734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021332625,0.00006420479,0.000119677556,0.000030199673,0.00007829765,0.00004709816,0.00006502655,0.000038447666,0.0000101759615],"category_scores_gemma":[0.0000719401,0.000031058662,0.000014486496,0.000079701145,0.00010135411,0.000047388523,0.0000033754284,0.000110118235,0.0000010760621],"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":[0.000026652533,0.00000630022,0.99305815,0.0000047762414,0.0000018758208,0.0000039984548,0.001033661,0.000019479137,0.0000015187914,0.0001229174,0.00012935667,0.005591299],"study_design_scores_gemma":[0.00016892336,0.00003275807,0.9856941,0.000019457317,0.000002635426,0.0000034511374,0.0005946386,0.012916728,0.00010089598,0.00011650765,0.00030031128,0.000049587412],"about_ca_topic_score_codex":0.02051716,"about_ca_topic_score_gemma":0.11378208,"teacher_disagreement_score":0.09326492,"about_ca_system_score_codex":0.000001952842,"about_ca_system_score_gemma":0.000015092685,"threshold_uncertainty_score":0.9860053},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99829835,0.000013472083,0.0000011546553,0.000013273365,0.0003965351,0.00076624396,0.000013827994,0.00003495811,0.00046220256],"genre_scores_gemma":[0.9996559,0.000003575505,0.000062444335,0.000041517233,0.00016805231,0.0000015002317,0.000021317852,0.000010957337,0.000034752302],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787515,0.0002646459,0.0005076495,0.00051419606,0.00036423575,0.00047412433],"domain_scores_gemma":[0.9989023,0.00030519022,0.00017290686,0.00043986985,0.00003755746,0.00014214999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092613394,0.00027201246,0.00045367746,0.0005181513,0.00023533193,0.000116203395,0.00021689683,0.00011953664,0.00011913322],"category_scores_gemma":[0.00011749261,0.00022265337,0.000051654435,0.00046781506,0.00006807513,0.00036985645,0.000036823454,0.0006232525,0.000015022203],"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":[0.000042271153,0.0004829325,0.9630085,0.0000106716225,0.000015698457,0.0022988312,0.02845712,0.00019534994,0.000069195354,0.0000015512184,0.000005385578,0.005412482],"study_design_scores_gemma":[0.001713821,0.0009019008,0.9866981,0.0000774294,0.000019583007,0.00012521232,0.008216136,0.0018699024,0.000049319646,0.000024467538,0.00003282207,0.0002712854],"about_ca_topic_score_codex":0.14891571,"about_ca_topic_score_gemma":0.6888487,"teacher_disagreement_score":0.539933,"about_ca_system_score_codex":0.0000092510545,"about_ca_system_score_gemma":0.000017392631,"threshold_uncertainty_score":0.9079541},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767928,0.0008183895,0.00017755562,0.000315533,0.00070377445,0.000105328334,0.000028810804,0.00008731996,0.020970447],"genre_scores_gemma":[0.9955191,0.00053074275,0.0027764596,0.00015534153,0.00028760545,4.196494e-9,0.00006851432,0.000006998339,0.0006552317],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99865687,0.00010969817,0.00033298854,0.0002769874,0.0002919087,0.0003315495],"domain_scores_gemma":[0.9992304,0.00017222292,0.00013141742,0.00028146632,0.000078767276,0.0001057666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035290123,0.00017013981,0.0002956469,0.00013734431,0.00016746201,0.000023016863,0.000096430645,0.0000762223,0.00007974902],"category_scores_gemma":[0.00012789301,0.00013517233,0.00008006167,0.00027976482,0.000115089635,0.0000744349,0.00000837656,0.00014755217,0.00016061706],"study_design_candidate":"design_other","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":[0.0004358939,0.000034512625,0.027249558,0.00009785901,0.00018763322,0.00033155503,0.0012417794,0.0035921724,0.000854688,0.00014258506,0.0011182964,0.96471345],"study_design_scores_gemma":[0.0037107153,0.0023520105,0.5686968,0.0015323873,0.000437114,0.00097512244,0.007528546,0.20593715,0.008794177,0.013488371,0.18454273,0.0020048895],"about_ca_topic_score_codex":0.0018188222,"about_ca_topic_score_gemma":0.01218844,"teacher_disagreement_score":0.9627086,"about_ca_system_score_codex":0.000012641022,"about_ca_system_score_gemma":0.00003792532,"threshold_uncertainty_score":0.6801436},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966424,0.000788082,0.00131566,0.00005162119,0.0009293831,0.000017122165,0.0000050955414,0.000020562104,0.00023006058],"genre_scores_gemma":[0.99646336,0.00011264428,0.0025317662,0.000012241708,0.0008394114,9.943669e-9,0.000004696562,0.000005485251,0.000030395411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993829,0.000006173983,0.00019592016,0.00006516994,0.00018854614,0.00016127576],"domain_scores_gemma":[0.9996147,0.000047815553,0.00008957356,0.0000859094,0.000047865058,0.000114133116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010162785,0.00012101131,0.00018395946,0.00005951385,0.000040440744,0.000041653242,0.00012427714,0.00003597291,0.000007765287],"category_scores_gemma":[0.000052609437,0.000078982026,0.00008436656,0.00017898677,0.000008515388,0.00019368091,0.0000036575702,0.00022087313,0.000021197793],"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":[0.000069723115,0.000056078796,0.23659901,0.00005774563,0.00012083604,0.00015064771,0.00069463893,0.72049195,0.008675937,0.000016805254,0.00026894244,0.032797668],"study_design_scores_gemma":[0.0018355885,0.00042128802,0.9841604,0.00027568516,0.00004165838,0.0003255324,0.000049660484,0.0041699344,0.002248203,0.0014611904,0.0045583076,0.00045255458],"about_ca_topic_score_codex":0.00014485685,"about_ca_topic_score_gemma":0.0000029776772,"teacher_disagreement_score":0.7475614,"about_ca_system_score_codex":0.000006415523,"about_ca_system_score_gemma":0.00002945316,"threshold_uncertainty_score":0.32207936},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817843,0.000056881097,0.011837465,0.00043530742,0.000054093816,0.00019947911,0.000008062088,0.000009738433,0.0056147175],"genre_scores_gemma":[0.9990647,0.0000046387563,0.0007516433,0.000095823816,0.000049437378,1.1965214e-7,0.000011286219,0.0000013833533,0.000020955826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993327,0.0001029879,0.00016231727,0.000114735616,0.0001491873,0.00013803867],"domain_scores_gemma":[0.9992254,0.0005301899,0.000062966275,0.0001422501,0.000012811808,0.000026399422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005391329,0.00006246535,0.000106739906,0.00007687354,0.00003017282,0.0000057299153,0.00012068648,0.0000626525,0.00023675857],"category_scores_gemma":[0.000056426317,0.000032779833,0.000033811946,0.00013493522,0.00004611437,0.000008686499,0.000003820389,0.00013977982,0.000015673157],"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":[0.0030844144,0.00022998755,0.2523158,0.00008644904,0.00006302879,0.000074257085,0.006197752,0.40165025,0.0050373287,0.0007108091,0.004870119,0.3256798],"study_design_scores_gemma":[0.00028312873,0.00035631206,0.97595966,0.00002374206,0.000006964479,0.000009938508,0.0001788749,0.013598136,0.0010714489,0.0080994805,0.000326211,0.00008607637],"about_ca_topic_score_codex":0.00022682392,"about_ca_topic_score_gemma":0.002744258,"teacher_disagreement_score":0.7236439,"about_ca_system_score_codex":0.0000010368226,"about_ca_system_score_gemma":0.00001305138,"threshold_uncertainty_score":0.259234},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986963,0.00015809629,0.000004548324,0.000036986876,0.000054244312,0.0008422582,0.000018390678,0.000013250894,0.00017589057],"genre_scores_gemma":[0.99961126,0.000020610069,0.0001878294,0.00006622583,0.000028982784,0.0000018997405,0.000008907138,0.0000035637033,0.00007071379],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882656,0.00023340948,0.00025280952,0.0002631925,0.00019451804,0.00022949639],"domain_scores_gemma":[0.9990958,0.0004699681,0.000102199796,0.00021596275,0.000011838038,0.00010425928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022156344,0.0001449392,0.00029343468,0.00010336391,0.000060649443,0.00002998791,0.000083723186,0.00007878495,0.00024245188],"category_scores_gemma":[0.00005810108,0.00010238999,0.00003095426,0.0000884557,0.0001144464,0.00011729523,0.000019322199,0.00013260875,0.000010250576],"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":[0.000044687135,0.00023804232,0.9799574,0.00007769731,0.000010359735,0.0005034605,0.0014362222,0.0003239075,0.00003497459,4.2146038e-7,0.000020686324,0.017352138],"study_design_scores_gemma":[0.0011466518,0.0011557936,0.9898587,0.000041235307,0.00001814036,0.00003641202,0.0005921092,0.006800742,0.00010775137,0.000019865478,0.00009460051,0.00012802365],"about_ca_topic_score_codex":0.05352645,"about_ca_topic_score_gemma":0.030735385,"teacher_disagreement_score":0.022791065,"about_ca_system_score_codex":0.0000049539626,"about_ca_system_score_gemma":0.000015982685,"threshold_uncertainty_score":0.9869512},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99253273,0.00024757578,0.00011922105,0.00039945336,0.00008340692,0.00012772332,0.0000046866785,0.000075418684,0.0064097666],"genre_scores_gemma":[0.9905245,0.00007864269,0.009062864,0.000061107996,0.00007401635,8.948304e-8,0.0000044622066,0.0000018757573,0.00019246277],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99880695,0.000008517639,0.0002404216,0.0003525532,0.00027856324,0.00031299685],"domain_scores_gemma":[0.9993509,0.00006581751,0.00016103729,0.00016938965,0.00015746715,0.00009537961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008101211,0.00013542538,0.00021142089,0.00023470128,0.00026385792,0.000026953454,0.00019505291,0.00019188413,0.0000062238537],"category_scores_gemma":[0.0003340203,0.00008017673,0.000022734926,0.0009677236,0.0008064825,0.00016002172,0.000031762906,0.00024148157,0.0000013556175],"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":[0.000056230238,0.000038407616,0.32187986,0.00008409462,0.000018218409,0.000016920778,0.0008590041,0.000014605505,0.11165567,0.0015494803,0.0011219692,0.5627055],"study_design_scores_gemma":[0.000497319,0.0012910574,0.5608605,0.00063394115,0.000035624595,0.00026057896,0.0026773263,0.0003313207,0.4215563,0.0066725994,0.004697292,0.00048614445],"about_ca_topic_score_codex":0.0006267699,"about_ca_topic_score_gemma":0.0002654387,"teacher_disagreement_score":0.5622194,"about_ca_system_score_codex":0.0000042894817,"about_ca_system_score_gemma":0.000074274634,"threshold_uncertainty_score":0.3269512},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94714797,0.0075745895,8.0719116e-7,0.0003769656,0.00010930422,0.00029458807,0.000023519755,0.00004973493,0.044422552],"genre_scores_gemma":[0.9973788,0.00057450467,0.00021958866,0.00006542562,0.00024558528,8.7727517e-7,0.000028960392,0.000008816569,0.0014774142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980395,0.00019415446,0.0002503749,0.00055049756,0.00040045107,0.0005650386],"domain_scores_gemma":[0.999205,0.00036356217,0.00005770821,0.00020022757,0.000048328235,0.00012520757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008205804,0.00019363448,0.00024260858,0.00026858784,0.00035021795,0.000260261,0.0001484872,0.00010554518,0.000036711037],"category_scores_gemma":[0.00009536565,0.00014779292,0.000024647657,0.00043957267,0.00016156597,0.0003440689,0.000029073522,0.00042217434,0.000049446353],"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":[0.00039763213,0.00009075663,0.84019715,0.00019721215,0.000011828404,0.00045634102,0.0008525508,0.0012336269,0.0003037953,0.0005038541,0.0005732367,0.15518203],"study_design_scores_gemma":[0.00066827296,0.00038235978,0.9286914,0.00022741416,0.0000065393792,0.00006385777,0.0006327974,0.012367304,0.0006041352,0.0006936173,0.055306,0.0003563207],"about_ca_topic_score_codex":0.005210817,"about_ca_topic_score_gemma":0.022071373,"teacher_disagreement_score":0.15482572,"about_ca_system_score_codex":0.000009763487,"about_ca_system_score_gemma":0.000039436745,"threshold_uncertainty_score":0.99577326},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99776626,0.0009130812,0.00003447683,0.00021390573,0.0003829641,0.00036973588,0.000021458616,0.000011285224,0.0002868119],"genre_scores_gemma":[0.9993874,0.00017703536,0.00023453473,0.00005812355,0.000033607943,0.0000025301583,0.0000067485694,0.0000015778493,0.0000984671],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988326,0.00006339463,0.0002824703,0.00042434438,0.0001827887,0.00021443698],"domain_scores_gemma":[0.99923736,0.0002242388,0.00014062815,0.000107399705,0.000218951,0.0000714097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002493788,0.00016327201,0.0004649533,0.00021087131,0.00017141779,0.000032684307,0.000102923026,0.00007539012,0.0000011324327],"category_scores_gemma":[0.00004959584,0.00008661634,0.00004976137,0.0008315792,0.00030044475,0.000056319645,0.000034721434,0.00012385804,4.327162e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018855261,0.00004413549,0.75727105,0.00028320908,0.00027467473,0.000005267341,0.024768226,0.19918998,0.00976236,0.000043281554,0.00047168453,0.007697596],"study_design_scores_gemma":[0.0002739348,0.000119115066,0.42656627,0.00019192071,0.000067400455,0.0000058256696,0.033194765,0.53926927,0.00015213474,0.000012652099,0.000016589112,0.00013013136],"about_ca_topic_score_codex":0.0038720556,"about_ca_topic_score_gemma":0.09242983,"teacher_disagreement_score":0.34007928,"about_ca_system_score_codex":0.000009677119,"about_ca_system_score_gemma":0.000015105131,"threshold_uncertainty_score":0.924131},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60087943,0.00048646246,0.00082592684,0.004099755,0.0023659342,0.000423444,0.00013841558,0.00041482097,0.3903658],"genre_scores_gemma":[0.9950628,0.0000104869105,0.0007499014,0.0012484762,0.00042015107,3.584406e-7,0.00029889,0.000009005537,0.0021999092],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985766,0.00011854306,0.00020456061,0.00036058752,0.00040476615,0.00033496085],"domain_scores_gemma":[0.9989743,0.00012042089,0.000087079425,0.0004477974,0.00007084686,0.00029953578],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037593875,0.0001901038,0.00018083985,0.00012179965,0.00015096468,0.00015520988,0.00021129708,0.0001433544,0.00036063866],"category_scores_gemma":[0.00014418381,0.00014293882,0.00006539506,0.00027554226,0.00005584944,0.00016408894,0.0000054256616,0.00025659835,0.0018365609],"study_design_candidate":"design_other","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":[0.0010012492,0.0003373908,0.19971716,0.00008674763,0.00007393506,0.00023389317,0.0015121768,0.037093066,0.000476365,0.00086882524,0.22664276,0.53195643],"study_design_scores_gemma":[0.001081412,0.00036644825,0.26770017,0.000087187604,0.00002910143,0.00001860342,0.00020752024,0.43138263,0.0003867565,0.00031367992,0.29797775,0.00044874547],"about_ca_topic_score_codex":0.0009184905,"about_ca_topic_score_gemma":0.00060137635,"teacher_disagreement_score":0.5315077,"about_ca_system_score_codex":0.000012976218,"about_ca_system_score_gemma":0.00013827134,"threshold_uncertainty_score":0.99894065},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94765294,0.00007461691,0.0000045938013,0.00015550999,0.00012389102,0.00019531282,0.00017336755,0.000034411714,0.051585343],"genre_scores_gemma":[0.9928118,0.00004092183,0.000049966755,0.00003495009,0.00009550018,2.4710914e-8,0.00006708082,0.0000023196085,0.0068974197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998644,0.00009769264,0.00021940836,0.00033996013,0.00040185734,0.0002970687],"domain_scores_gemma":[0.9994233,0.00015000463,0.000094582196,0.00021267019,0.000023779434,0.00009563162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024358858,0.0001920062,0.0003122511,0.00014691734,0.00056802155,0.00003757419,0.0001969459,0.00006680424,0.00023190182],"category_scores_gemma":[0.000014913843,0.00014405456,0.000058542573,0.00023890585,0.00012661798,0.00013154463,0.0002509265,0.00014918728,0.000017233308],"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":[0.00012020837,0.00017452001,0.994552,0.000009669621,0.000018189934,0.00009623351,0.002123322,0.000109152264,0.000007833248,0.00007021583,0.0020969792,0.0006216883],"study_design_scores_gemma":[0.0007072165,0.00058807695,0.9932742,0.000017660725,0.000026895139,0.0000053025965,0.0036148713,0.00028336816,0.00007004401,0.00009638598,0.0011227689,0.0001931823],"about_ca_topic_score_codex":0.11256006,"about_ca_topic_score_gemma":0.14355022,"teacher_disagreement_score":0.045158863,"about_ca_system_score_codex":0.000010985194,"about_ca_system_score_gemma":0.000011461724,"threshold_uncertainty_score":0.89334947},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977149,0.00006399763,0.00085199927,0.00018388098,0.000008972205,0.000045599365,0.0000135645605,0.0000051394372,0.021677839],"genre_scores_gemma":[0.9994376,0.000037125596,0.0004371209,0.000034422686,0.000010814314,6.7154695e-9,0.000015588923,4.6434278e-7,0.000026898922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997331,0.000016605678,0.00005612105,0.00007799146,0.000052640393,0.00006352274],"domain_scores_gemma":[0.999834,0.000025549998,0.00004037547,0.0000623013,0.000005023825,0.00003274398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050481733,0.00004451302,0.00008660341,0.00001040168,0.000022909759,0.0000051221523,0.000021191134,0.000018335953,0.00039562923],"category_scores_gemma":[0.0000013049194,0.00002873116,0.00000824502,0.000029059574,0.00007942331,0.000036568596,0.0000029118848,0.000016961694,0.0000023097311],"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":[0.000064858024,0.000017736273,0.8386679,0.000014773036,0.000014354134,0.0000010493613,0.00012442774,0.14214958,0.0000015284891,0.00018357641,0.000007833246,0.01875234],"study_design_scores_gemma":[0.00016413142,0.00013594322,0.7971039,0.0000043253444,0.000005885546,0.0000041716594,0.00006056737,0.19966224,0.000019912557,0.0022045295,0.00059407833,0.00004031223],"about_ca_topic_score_codex":0.0025919238,"about_ca_topic_score_gemma":0.0053114253,"teacher_disagreement_score":0.057512656,"about_ca_system_score_codex":0.0000013761211,"about_ca_system_score_gemma":0.000004430381,"threshold_uncertainty_score":0.43318626},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877397,0.000038094066,0.0000998881,0.00005675574,0.000044676064,0.000068426634,0.000007766809,0.0000145819395,0.011930138],"genre_scores_gemma":[0.9981627,0.000015600828,0.00091781985,0.00011186348,0.000019125975,4.7179732e-8,0.00010894006,8.8264215e-7,0.0006630491],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992601,0.000055829918,0.00018688918,0.00016321205,0.00019958238,0.0001343486],"domain_scores_gemma":[0.999537,0.00011852083,0.000079643934,0.00016631043,0.00003907055,0.000059455655],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001475067,0.000073849114,0.00018843055,0.00012014551,0.000040640865,0.000008989929,0.00006989862,0.00005890875,0.004941123],"category_scores_gemma":[0.000025269139,0.000042435226,0.0000997307,0.00026955607,0.00007071612,0.00007122811,0.000006898877,0.000041836436,0.00020073913],"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":[0.000025660676,0.000023670691,0.980812,0.0000034096336,0.00004967087,7.474045e-7,0.0000866687,0.006472202,0.00027743776,0.000037371043,0.00036192482,0.011849221],"study_design_scores_gemma":[0.000096873635,0.00012165146,0.88955057,0.0000031956006,0.000045410074,6.8385714e-7,0.000019618219,0.1091218,0.00027686526,0.00008509201,0.00062347495,0.000054755925],"about_ca_topic_score_codex":0.012369958,"about_ca_topic_score_gemma":0.0012223019,"teacher_disagreement_score":0.1026496,"about_ca_system_score_codex":0.0000030475364,"about_ca_system_score_gemma":0.0000050364324,"threshold_uncertainty_score":0.9959685},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930756,0.000080081096,0.00018327552,0.0006385627,0.00014910908,0.000241803,0.000080490456,0.000003030303,0.0055480464],"genre_scores_gemma":[0.9973812,0.000043896507,0.0015357331,0.000008332817,0.00017415856,7.717448e-9,0.000007635595,0.0000018539831,0.0008471453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913484,0.00013314259,0.00019665912,0.00007202414,0.0002561948,0.00020716464],"domain_scores_gemma":[0.99903667,0.00014842207,0.0002072938,0.00009249803,0.00038739873,0.00012774489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011374769,0.000055087807,0.00021627842,0.00097075215,0.00011872596,0.000008754873,0.00018362114,0.00008580506,0.000056241406],"category_scores_gemma":[0.00007360417,0.000047057623,0.00012222103,0.00051024475,0.00008665443,0.00009952216,0.0000052953305,0.00015487618,0.0000011447091],"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":[0.27899796,0.0013344777,0.30737537,0.0010981758,0.0010916777,0.0030439785,0.0085879415,0.009406184,0.060231004,0.00216672,0.2081661,0.118500434],"study_design_scores_gemma":[0.06240169,0.01226108,0.45442086,0.00070163544,0.0003204263,0.00047202458,0.0065076416,0.004402357,0.036628794,0.0044135246,0.4166903,0.0007796655],"about_ca_topic_score_codex":0.298078,"about_ca_topic_score_gemma":0.39399484,"teacher_disagreement_score":0.21659626,"about_ca_system_score_codex":0.000020753825,"about_ca_system_score_gemma":0.00036324712,"threshold_uncertainty_score":0.70659614},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94647855,0.00013220015,0.000008492921,0.0002966738,0.000025901998,0.00013626434,0.0000041928265,0.000011934252,0.05290579],"genre_scores_gemma":[0.99252707,0.000021183892,0.0005253542,0.00010497891,0.000058112204,1.7138505e-7,0.000071607785,0.000004012388,0.006687512],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983067,0.0003142632,0.00030135442,0.00023738983,0.0004675777,0.0003727028],"domain_scores_gemma":[0.9992202,0.000489955,0.000046896163,0.00014976188,0.000015355938,0.00007786681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013323457,0.0001081086,0.0001955458,0.00039321987,0.000056273435,0.000040352174,0.00014485377,0.000076948854,0.00026999303],"category_scores_gemma":[0.00006563106,0.00008523362,0.0000262775,0.0004273231,0.00004724348,0.000048376056,0.000008514681,0.00025880395,0.000032398286],"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":[0.0004276103,0.000044404296,0.946015,0.000011879032,0.000005232685,0.00014420907,0.00024344515,0.0030437773,0.000006097779,0.00001453727,0.017891811,0.032152012],"study_design_scores_gemma":[0.00085504533,0.000034035656,0.8689257,0.00011777982,7.443285e-7,0.0000042995202,0.000033919965,0.0014112476,0.00001526646,0.00010062656,0.12840743,0.00009390877],"about_ca_topic_score_codex":0.014694513,"about_ca_topic_score_gemma":0.03498416,"teacher_disagreement_score":0.110515624,"about_ca_system_score_codex":0.000017061791,"about_ca_system_score_gemma":0.00016881853,"threshold_uncertainty_score":0.9918667},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7368258,0.0011833987,0.1828875,0.003034233,0.0004583084,0.00027964663,0.0000049363143,0.0004040854,0.07492206],"genre_scores_gemma":[0.9986927,0.000004121116,0.00029129483,0.0007349928,0.00020173931,4.855424e-8,0.000005433958,0.0000026126067,0.000067050285],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904925,0.00008364562,0.00013130762,0.00019021878,0.00027075742,0.0002748024],"domain_scores_gemma":[0.999569,0.00018479001,0.000045989822,0.000092620125,0.000025218982,0.00008238709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003257413,0.00010446897,0.00008342259,0.000048382233,0.0007868213,0.00021363988,0.000104315935,0.00005549638,0.000041980522],"category_scores_gemma":[0.000032486307,0.000060660543,0.000043935917,0.000186845,0.00007401562,0.00009410419,0.0000016765297,0.0002611041,0.000039042156],"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":[0.00010645394,0.000006143155,0.00042932978,0.0000040916857,0.0000011226143,0.000008970664,0.000044172746,0.023240633,0.00016762827,0.0000021015326,0.00001757581,0.97597176],"study_design_scores_gemma":[0.00015795826,0.00028076104,0.03906273,0.000055152505,0.0000056956114,0.000010694522,0.00006327819,0.9568363,0.0011633289,0.0010990357,0.0011510523,0.00011400318],"about_ca_topic_score_codex":0.00012507432,"about_ca_topic_score_gemma":0.00024837456,"teacher_disagreement_score":0.9758578,"about_ca_system_score_codex":0.0000068896234,"about_ca_system_score_gemma":0.00007045931,"threshold_uncertainty_score":0.60516727},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98116684,0.00027973318,0.0022196327,0.00002582871,0.00007385434,0.000038963426,0.00002832002,0.000016908252,0.016149914],"genre_scores_gemma":[0.9887207,0.000011354297,0.010249643,0.00006030671,0.000021566326,7.3396373e-9,0.000037017275,9.496876e-7,0.00089846394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999524,0.00007559867,0.000106504805,0.000111640744,0.00006939575,0.0001128593],"domain_scores_gemma":[0.9996806,0.00015168381,0.000030506404,0.000078474994,0.000022039208,0.000036713274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037931334,0.000052444273,0.00010147885,0.00003034237,0.000033616456,0.00001740545,0.00003466457,0.000027240414,0.0001310409],"category_scores_gemma":[0.000021251464,0.00003305267,0.000017280772,0.00008202324,0.00002782389,0.00003120004,0.0000026887192,0.000028287744,0.000004742741],"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":[0.000030458647,0.0000118976095,0.7742352,0.000006050028,0.0000054198526,0.0000020700327,0.000037912,0.00056393497,0.0016685374,0.000016159653,0.0011433924,0.22227895],"study_design_scores_gemma":[0.00012332144,0.000054928405,0.94918644,0.0000015468444,0.0000031277268,0.0000068928916,0.000017070093,0.04866283,0.00092256634,0.000052717263,0.0009171615,0.000051371993],"about_ca_topic_score_codex":0.11141814,"about_ca_topic_score_gemma":0.10026799,"teacher_disagreement_score":0.22222757,"about_ca_system_score_codex":4.0970443e-7,"about_ca_system_score_gemma":0.000010638767,"threshold_uncertainty_score":0.9161498},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99750894,0.000056515248,0.0000023384418,0.00021600263,0.00029433848,0.0001434562,0.0000035938353,0.0000054483803,0.0017693683],"genre_scores_gemma":[0.99955326,0.000025322826,0.000010657737,0.00017742722,0.00019907457,2.4431276e-7,0.0000054178686,0.0000017391611,0.000026823744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944144,0.00007762519,0.00010887134,0.00009981269,0.00013804926,0.00013421947],"domain_scores_gemma":[0.99968976,0.00012714296,0.000045097946,0.00011377197,0.000007844246,0.000016370903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004687999,0.0000624657,0.000073618205,0.000043801523,0.00008437768,0.000048266298,0.000126201,0.000051206243,0.00012586362],"category_scores_gemma":[0.000031261923,0.00002628519,0.000022306238,0.00016998404,0.000036545007,0.000092286195,0.000011718655,0.00021616448,0.0000022844447],"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":[0.000003527289,0.00000458411,0.98803926,0.000003902584,0.0000017578872,0.0000015776708,0.002919091,0.00009841377,0.000059463873,0.00002019001,0.000016068674,0.008832142],"study_design_scores_gemma":[0.00012958694,0.000021953829,0.94622284,0.000018615125,0.0000026582964,0.000006722686,0.00060760236,0.052297965,0.000036072663,0.000066856854,0.0005465596,0.000042576357],"about_ca_topic_score_codex":0.03273392,"about_ca_topic_score_gemma":0.5470033,"teacher_disagreement_score":0.5142694,"about_ca_system_score_codex":0.000001239004,"about_ca_system_score_gemma":0.000010762434,"threshold_uncertainty_score":0.9737072},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99781364,0.00010333223,0.00009334189,0.0006468077,0.00018283854,0.000054290373,0.0000045644824,0.000018544908,0.001082626],"genre_scores_gemma":[0.99953854,0.000052457817,0.00032981415,0.00005375862,0.000012705283,1.1246254e-7,0.000002387501,0.0000010213569,0.000009181131],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946296,0.0000068673858,0.000104945044,0.00016084837,0.0001631036,0.000101274236],"domain_scores_gemma":[0.99968535,0.000046307814,0.00006876769,0.000061947634,0.00011169254,0.000025966921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019435902,0.000052871965,0.000078934216,0.00036411418,0.00009660302,0.000019038116,0.00013192737,0.000047468206,0.000006715235],"category_scores_gemma":[0.00021629204,0.000041431045,0.000008788946,0.00039832055,0.00044366266,0.00012142251,0.00001701503,0.00006291428,0.0000019285928],"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":[0.000097221935,0.00009782859,0.40133923,0.0000978281,0.00009389477,0.000025748259,0.0012042461,0.0017338062,0.14133546,0.034794368,0.000018670671,0.41916168],"study_design_scores_gemma":[0.0012373927,0.0010420539,0.33736718,0.00020938701,0.00001857934,0.00005657878,0.00025151312,0.00415307,0.6324931,0.022731336,0.00025120395,0.00018860107],"about_ca_topic_score_codex":0.00007915819,"about_ca_topic_score_gemma":0.000045330155,"teacher_disagreement_score":0.49115765,"about_ca_system_score_codex":0.0000038241465,"about_ca_system_score_gemma":0.000045854773,"threshold_uncertainty_score":0.1689509},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8452975,0.00012208536,0.15377723,0.0003122231,0.00013998925,0.00016296517,0.0000083296145,0.000005686321,0.00017397024],"genre_scores_gemma":[0.9866381,0.0000108633185,0.013121406,0.000039115796,0.00015028709,3.2529218e-7,0.000013059129,0.0000021761582,0.00002461322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999119,0.0000368719,0.0003072222,0.00016072633,0.00024740055,0.00012879004],"domain_scores_gemma":[0.99919593,0.00013134691,0.0002946658,0.00012155419,0.00017141207,0.000085078784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001787232,0.00007629005,0.00013368695,0.00013159552,0.0002328709,0.00004226701,0.00017166327,0.000024401663,0.00000397145],"category_scores_gemma":[0.00012516647,0.000051994914,0.00003180207,0.00044387794,0.000156049,0.000332634,0.000006026449,0.0000483437,0.0000014071619],"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":[0.00028408822,0.00005452641,0.478878,0.00005002679,0.0000086002,5.545667e-7,0.0016710616,0.07447882,0.24998033,0.0012793961,0.00023030846,0.1930843],"study_design_scores_gemma":[0.00026188817,0.00016313331,0.87151587,0.000021178052,0.000010602981,0.00004399938,0.00013827482,0.11602965,0.0033801184,0.007224908,0.0011136032,0.00009678486],"about_ca_topic_score_codex":0.00012810733,"about_ca_topic_score_gemma":0.000071095004,"teacher_disagreement_score":0.39263788,"about_ca_system_score_codex":0.000010567767,"about_ca_system_score_gemma":0.00005458955,"threshold_uncertainty_score":0.2120291},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970065,0.00026998812,0.0003937041,0.000012642995,0.00024045784,0.00011098507,0.00005732514,0.000046226156,0.0018622023],"genre_scores_gemma":[0.998638,0.00007247005,0.0006230034,0.00008822677,0.00014087376,2.1707616e-7,0.00030425002,0.000009855449,0.00012315017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791443,0.00021827787,0.0004243698,0.000403955,0.0003790951,0.0006598405],"domain_scores_gemma":[0.9985133,0.00043570416,0.00026402788,0.00044730585,0.000049764167,0.00028990558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059057446,0.00025431812,0.0005346834,0.00056739827,0.00016729208,0.00012864609,0.00024540932,0.00013399616,0.0003464629],"category_scores_gemma":[0.0001783975,0.00020385835,0.00013543996,0.0012163293,0.000102106664,0.0005861739,0.00002684669,0.00023248124,0.00004062796],"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":[0.000045165987,0.000055626286,0.9362363,0.000013613589,0.00009763506,0.000017294884,0.0024010886,0.00068742427,0.00007610791,0.000010792281,0.0000097950215,0.06034911],"study_design_scores_gemma":[0.00031827294,0.00008668849,0.9827145,0.00004953003,0.00023068652,0.000013236846,0.0002482973,0.015476484,0.00016372226,0.000043958422,0.0003718035,0.00028285637],"about_ca_topic_score_codex":0.092087835,"about_ca_topic_score_gemma":0.021281406,"teacher_disagreement_score":0.07080643,"about_ca_system_score_codex":0.00001367519,"about_ca_system_score_gemma":0.000035627738,"threshold_uncertainty_score":0.9965777},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99070364,0.00039642255,0.0015668169,0.00005982667,0.00020402351,0.0006860969,0.00003437073,0.00002127681,0.006327541],"genre_scores_gemma":[0.9987619,0.00044887757,0.00028509749,0.000008236993,0.00014529143,5.956845e-7,0.000054670294,0.0000047750527,0.0002905452],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99866235,0.00010897242,0.00026245994,0.00025584354,0.00040795826,0.00030242075],"domain_scores_gemma":[0.99965465,0.000035391255,0.00007180585,0.00012890509,0.0000016336477,0.00010763703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010356519,0.00011342091,0.00012608228,0.00003662553,0.0002838299,0.00001878118,0.00007249863,0.0001571554,0.00026928578],"category_scores_gemma":[0.000002449496,0.00009676409,0.00003617043,0.00012869478,0.00029800087,0.00016324347,0.00002712097,0.00030899598,0.00002657598],"study_design_candidate":"design_other","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":[0.000972613,0.00005994067,0.016214138,0.000010089163,0.000027765363,0.000013499099,0.00012605957,0.0033976764,0.00012485441,0.000021861035,0.000013796565,0.97901773],"study_design_scores_gemma":[0.00460025,0.0019945798,0.837976,0.00014891513,0.00007361767,0.00012892301,0.006811327,0.10931203,0.0029037143,0.0019774504,0.033337567,0.0007356661],"about_ca_topic_score_codex":0.00067341415,"about_ca_topic_score_gemma":0.000057409605,"teacher_disagreement_score":0.97828203,"about_ca_system_score_codex":0.000030523723,"about_ca_system_score_gemma":0.0000042791216,"threshold_uncertainty_score":0.39459252},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968353,0.00016552515,0.0013990073,0.0011308495,0.000046286325,0.00018790954,8.961739e-7,0.000029504092,0.00020474399],"genre_scores_gemma":[0.99957895,0.000080091035,0.00030830762,0.000006950566,0.000007673284,5.616301e-7,0.000001834279,7.886266e-7,0.000014846001],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994411,0.000008322637,0.00009701631,0.00017645815,0.0001295908,0.00014753937],"domain_scores_gemma":[0.9997501,0.000017414914,0.00005572858,0.00008110418,0.000066395005,0.000029262623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007501276,0.00004545121,0.00006613609,0.00050197775,0.0001221034,0.000017172082,0.000058095047,0.000067485256,0.000003980057],"category_scores_gemma":[0.000121311954,0.00003572483,0.000003237966,0.0008095503,0.00036905866,0.00011529121,0.000010880741,0.000079044155,0.0000012845811],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016267762,0.0000066802386,0.45949516,0.000010757553,8.176883e-7,9.676073e-7,0.00010851496,0.00007232501,0.0046699694,0.000103983046,3.8625114e-7,0.5355142],"study_design_scores_gemma":[0.00012297177,0.00012600886,0.9370012,0.000015534104,0.0000018257134,0.000023820356,0.00012949343,0.051478174,0.005697802,0.005194222,0.00015630217,0.00005259724],"about_ca_topic_score_codex":0.0019343,"about_ca_topic_score_gemma":0.03188981,"teacher_disagreement_score":0.5354616,"about_ca_system_score_codex":0.0000060686916,"about_ca_system_score_gemma":0.000019315157,"threshold_uncertainty_score":0.98577565},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955609,0.00031540496,0.00026404724,0.00016611157,0.00044676123,0.000274325,0.00014811633,0.000009436438,0.0028148904],"genre_scores_gemma":[0.99945384,0.000050593982,0.00024309136,0.000013119472,0.000032809934,2.177942e-7,0.00001609857,0.000005480998,0.00018474733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981044,0.00044033304,0.00055563875,0.00022857648,0.00048756882,0.00018347855],"domain_scores_gemma":[0.9988639,0.0001645972,0.0005101408,0.00029064613,0.00010574927,0.00006500498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005519255,0.00016054584,0.000402265,0.00010469193,0.000083244915,0.000012900893,0.00013662719,0.00012454031,0.00014002377],"category_scores_gemma":[0.00019883784,0.000088830966,0.00015055366,0.00017678183,0.00025443116,0.00009857519,0.000006619747,0.00013792205,0.0000016730348],"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":[0.0020545411,0.000285652,0.8777529,0.00051712204,0.00034447486,0.0000055212176,0.001513663,0.0017812244,0.027816026,0.00080574874,0.0018702635,0.08525286],"study_design_scores_gemma":[0.0041758083,0.0017982585,0.8952328,0.0007678841,0.00027009362,0.000058867186,0.0012347373,0.002160674,0.08960562,0.0032994144,0.0010311262,0.00036470918],"about_ca_topic_score_codex":0.0005392927,"about_ca_topic_score_gemma":0.00076620665,"teacher_disagreement_score":0.08488815,"about_ca_system_score_codex":0.000003355266,"about_ca_system_score_gemma":0.000061446415,"threshold_uncertainty_score":0.36224216},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99160177,0.00019292842,0.0008668784,0.00010397734,0.00015010197,0.00019121378,0.0000044343024,0.000028356422,0.006860362],"genre_scores_gemma":[0.99919796,0.000020229474,0.0006078722,0.000011873558,0.00008200671,4.214073e-7,0.000015146236,0.0000019834886,0.00006251865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994257,0.00005841454,0.00015664994,0.00013230665,0.00010332036,0.00012362537],"domain_scores_gemma":[0.99944794,0.00021427941,0.00007442663,0.0001853787,0.000027816766,0.00005015842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005813871,0.00006593505,0.00009213917,0.00003559643,0.00012546012,0.000038744194,0.000097782,0.000063982894,0.0000084947105],"category_scores_gemma":[0.00006486413,0.000042137755,0.000015998148,0.0001139246,0.00007825925,0.0000561797,0.000004142706,0.00012545049,0.000008101387],"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":[0.00006174274,0.00001160179,0.70832735,0.00005984322,0.000008795358,0.0000017142588,0.0010117621,0.00018574542,0.0015190576,0.0005232259,0.0003171879,0.28797197],"study_design_scores_gemma":[0.00020431574,0.000039258375,0.9205418,0.00002670749,0.000008445477,0.0000092306245,0.000276585,0.07169158,0.0013992352,0.00020686217,0.005509395,0.00008657938],"about_ca_topic_score_codex":0.002264383,"about_ca_topic_score_gemma":0.004127917,"teacher_disagreement_score":0.2878854,"about_ca_system_score_codex":0.000002550832,"about_ca_system_score_gemma":0.000017759296,"threshold_uncertainty_score":0.3423085},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946151,0.00014573275,0.00005279912,0.000019717856,0.000028615406,0.00004483067,0.0000026502298,0.000008884739,0.0050816922],"genre_scores_gemma":[0.99940825,0.00011651491,0.0002210708,0.000027412556,0.000018190036,8.1449185e-9,0.000006413765,8.735636e-7,0.00020125145],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966633,0.000025953592,0.000074877236,0.000082712984,0.000060128386,0.00008999777],"domain_scores_gemma":[0.99986416,0.000045330216,0.0000077393315,0.000042863467,0.0000044581743,0.00003542213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006384721,0.000044111333,0.00008268856,0.000030008428,0.000018663459,0.000016577857,0.000022035174,0.000026652993,0.00032220272],"category_scores_gemma":[0.000014311032,0.000029611865,0.000009940892,0.000045704866,0.0000064951987,0.00008657944,0.0000012143664,0.000040862356,0.000014826905],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053617143,0.000007267374,0.7246943,0.000019785768,0.000003165721,0.000012442625,0.00017752251,0.09774996,0.000013080233,0.000004287249,0.0000062358868,0.1772583],"study_design_scores_gemma":[0.00013964022,0.000024723104,0.42714015,0.000012160594,0.0000013356363,0.000002855015,0.0000011010007,0.57255715,0.000025493711,0.000044141496,0.000023808123,0.000027421158],"about_ca_topic_score_codex":0.026653161,"about_ca_topic_score_gemma":0.010312573,"teacher_disagreement_score":0.4748072,"about_ca_system_score_codex":3.0268373e-7,"about_ca_system_score_gemma":0.0000049952555,"threshold_uncertainty_score":0.9798284},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739038,0.000027048527,0.01856416,0.00016145148,0.00014227635,0.000049631843,6.8449424e-7,0.00015053067,0.0070004403],"genre_scores_gemma":[0.9830186,0.0000041485737,0.016911475,0.00002746043,0.000024332121,3.18165e-7,0.0000015441531,0.0000019647923,0.000010155575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993047,0.000008187029,0.0000783182,0.00024180494,0.00010762363,0.00025933443],"domain_scores_gemma":[0.9997746,0.00002962832,0.000016569722,0.00011903743,0.000014143829,0.000046020323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004236909,0.00008101276,0.000081819264,0.00083187793,0.00012089906,0.00003475668,0.00009122931,0.00008387031,0.000011393803],"category_scores_gemma":[0.00014241932,0.000067403635,0.000011814887,0.0010128556,0.00015468632,0.00016256805,0.000004052816,0.00021990499,0.000009712112],"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":[0.00006202918,0.00006321613,0.061483774,0.00005025271,0.000004499692,0.000021007038,0.0001920185,0.51040936,0.16315994,0.0016323851,0.00000828477,0.26291326],"study_design_scores_gemma":[0.00013030265,0.000069704736,0.082454145,0.000009078526,0.0000012678029,0.00002873797,0.00006794628,0.90851104,0.0081961695,0.00019848207,0.0002418268,0.000091298505],"about_ca_topic_score_codex":0.00007741516,"about_ca_topic_score_gemma":0.000043447206,"teacher_disagreement_score":0.3981017,"about_ca_system_score_codex":0.000008079151,"about_ca_system_score_gemma":0.0000131407305,"threshold_uncertainty_score":0.27486405},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900656,0.0002698887,0.0037407097,0.000063878484,0.000102487356,0.00010692268,0.0000050756357,0.000026990965,0.0056184717],"genre_scores_gemma":[0.9984324,0.0000109531575,0.0012692091,0.000039723076,0.000101738704,1.6265417e-7,0.000034072425,0.0000022478412,0.000109508124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934524,0.000058442343,0.00017824843,0.00014346787,0.00012878189,0.0001458406],"domain_scores_gemma":[0.99963593,0.00010065348,0.00005773898,0.00014460844,0.000017522552,0.000043512788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019970878,0.00006704086,0.00011445379,0.00007660353,0.000052176652,0.000008204775,0.000096169555,0.000054999055,0.00008685423],"category_scores_gemma":[0.00003127593,0.000056413366,0.000026488915,0.00014468766,0.00004088633,0.00007591252,0.00000269202,0.00008607792,0.000068753936],"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":[0.00010892647,0.000022524795,0.9549712,0.000020033729,0.000009591807,0.00004995636,0.0042502577,0.008574631,0.00032161715,0.000008347412,0.018668497,0.01299445],"study_design_scores_gemma":[0.000302032,0.000054663036,0.9631048,0.00002271662,0.0000044895105,0.000021719576,0.000114549286,0.03275402,0.0010725951,0.00018233688,0.00226185,0.000104261206],"about_ca_topic_score_codex":0.0019067739,"about_ca_topic_score_gemma":0.0001593484,"teacher_disagreement_score":0.024179388,"about_ca_system_score_codex":0.000002393601,"about_ca_system_score_gemma":0.000025540197,"threshold_uncertainty_score":0.28824845},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933062,0.00017737714,0.002650482,0.00051622896,0.00011153813,0.0000782082,0.0000140307675,0.000044782835,0.0031011435],"genre_scores_gemma":[0.95839024,0.00004465627,0.04146503,0.000069312766,0.000010882776,9.478328e-8,0.0000014969107,0.000001774865,0.000016509965],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999039,0.000031090207,0.0001600346,0.00026253483,0.00017973992,0.00032758253],"domain_scores_gemma":[0.9995132,0.00009908281,0.00008043041,0.00019837996,0.00005090047,0.00005799677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008255995,0.00008204073,0.00013434357,0.00017553318,0.00033381075,0.000027758972,0.00029106985,0.00007249467,0.00028318682],"category_scores_gemma":[0.00018389012,0.00004822356,0.000014334646,0.00042215883,0.002280422,0.000029746754,0.000052990934,0.00013185832,0.0000131299175],"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":[0.000028998275,0.000019839805,0.12845927,0.000023851986,0.000006517513,0.000036042646,0.0002066545,0.000006366478,0.0020752917,0.0024606641,0.000034426503,0.86664206],"study_design_scores_gemma":[0.0006478064,0.0007204989,0.8495872,0.00009420311,0.00010129441,0.0011315849,0.0012397856,0.13360646,0.0068190526,0.0040121754,0.0015353437,0.0005045753],"about_ca_topic_score_codex":0.0014891683,"about_ca_topic_score_gemma":0.00026072736,"teacher_disagreement_score":0.8661375,"about_ca_system_score_codex":0.0000027678698,"about_ca_system_score_gemma":0.000042168842,"threshold_uncertainty_score":0.840231},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972213,0.000028575769,0.000047811212,0.00040976144,0.0000288675,0.00021425662,0.00033075284,0.000013411793,0.0017052913],"genre_scores_gemma":[0.9966556,0.000031779637,0.00154849,0.00006293613,0.000010177303,5.4158956e-8,0.001494835,0.0000014517585,0.0001946944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999089,0.00013576169,0.00015342692,0.00029154998,0.00019122133,0.00013905126],"domain_scores_gemma":[0.9990862,0.00038365636,0.0000964396,0.0002851496,0.000075767755,0.00007280268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102993974,0.00012428593,0.00023034531,0.00027689725,0.00008067255,0.000082227736,0.00016247205,0.00006479973,0.0003500003],"category_scores_gemma":[0.00009160804,0.00007981138,0.00002370499,0.0008791599,0.000017906827,0.0003430602,0.000018357041,0.00011295195,0.000011618679],"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":[0.00012734576,0.00022389104,0.8949173,0.00003352385,0.00036402798,0.00014354484,0.008520987,0.007661859,0.00009052461,0.0000036059193,0.028089656,0.059823744],"study_design_scores_gemma":[0.00042627627,0.0003048921,0.8929213,0.000032681906,0.00015413339,0.0000025471513,0.0014947326,0.10447339,0.0000054758384,0.00001299862,0.000056784975,0.00011476407],"about_ca_topic_score_codex":0.010778643,"about_ca_topic_score_gemma":0.011618357,"teacher_disagreement_score":0.09681153,"about_ca_system_score_codex":0.0000049764803,"about_ca_system_score_gemma":0.00000891289,"threshold_uncertainty_score":0.99580866},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641734,0.000020419031,0.00038935852,0.00041658132,0.00025419795,0.000114001894,0.000004476071,0.000068218666,0.03455936],"genre_scores_gemma":[0.99065405,0.000014181089,0.0079179555,0.0004204257,0.00032746536,5.358465e-8,0.000042282183,0.000004490261,0.0006190767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985239,0.00024539878,0.00013391349,0.00027764833,0.00038901213,0.00043011352],"domain_scores_gemma":[0.99928236,0.00026725864,0.000028052493,0.00024900353,0.00004983939,0.00012346469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043741378,0.00010326164,0.00010164604,0.0001162166,0.00054965576,0.00006148437,0.00011336538,0.00006422175,0.00049573387],"category_scores_gemma":[0.00003345423,0.000072161485,0.000047489928,0.0003472341,0.00011212269,0.00008146788,0.0000028046695,0.00030991243,0.000382493],"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":[0.00043724128,0.00011664195,0.16582198,0.000008395487,0.000008473794,0.00017240818,0.00013018415,0.7912233,0.00038461687,0.000068909925,0.010120161,0.031507727],"study_design_scores_gemma":[0.00017030851,0.0001239787,0.39350924,0.000008556324,0.0000011215702,0.000007995225,0.000026375408,0.60561174,0.00006290061,0.000011247081,0.0004024269,0.000064096195],"about_ca_topic_score_codex":0.0021407236,"about_ca_topic_score_gemma":0.00085777603,"teacher_disagreement_score":0.22768727,"about_ca_system_score_codex":0.000009006233,"about_ca_system_score_gemma":0.000051115658,"threshold_uncertainty_score":0.5427938},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896657,0.00003814545,0.000001050562,0.000015483653,0.00039526643,0.00019323382,0.000025270952,0.000028912813,0.009636956],"genre_scores_gemma":[0.9997602,0.000003322776,0.000021718915,0.000036012152,0.00006135293,2.9482234e-7,0.000020363112,0.0000034710886,0.00009326991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908763,0.00013804964,0.00018186386,0.00019013074,0.00018266376,0.00021968017],"domain_scores_gemma":[0.9996707,0.000023449362,0.00004376376,0.00019882023,0.000019045234,0.00004425679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000404226,0.0001097693,0.00020109558,0.00009533608,0.000049331582,0.000027057638,0.00013060652,0.000049290444,0.00006716864],"category_scores_gemma":[8.901423e-7,0.000060542734,0.000023561726,0.00006600877,0.00001076141,0.00006905126,0.000007355047,0.00006424741,0.00018857354],"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":[0.00022427605,0.00016702949,0.9668554,0.00040872965,0.000055401084,0.00020770733,0.027866783,0.00036274517,0.000067125504,0.000044761186,0.000021421305,0.0037185918],"study_design_scores_gemma":[0.0005752356,0.0006411523,0.9817646,0.00020780682,0.000021056665,0.000023980878,0.0116683105,0.0030869844,0.0012278891,0.00004411116,0.0005556886,0.0001831684],"about_ca_topic_score_codex":0.023547247,"about_ca_topic_score_gemma":0.028081588,"teacher_disagreement_score":0.016198473,"about_ca_system_score_codex":0.000005775279,"about_ca_system_score_gemma":0.00000488172,"threshold_uncertainty_score":0.9896534},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.613926,0.00003163203,0.3853812,0.0000041272597,0.00006186145,0.00043904022,0.00011498648,0.000019721569,0.000021459016],"genre_scores_gemma":[0.7631691,0.00005332576,0.23661983,0.00006360135,0.000013391031,9.978748e-7,0.00002938512,0.00000849213,0.00004189202],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888545,0.000017279963,0.00034033225,0.00033440453,0.00013657415,0.00028597953],"domain_scores_gemma":[0.9994721,0.000046187004,0.0001342249,0.00017371985,0.00004735108,0.00012641966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007235641,0.00019506138,0.0003741816,0.000020441967,0.00016591298,0.000045101326,0.000072791896,0.00011016324,0.0000040855075],"category_scores_gemma":[0.0000066622347,0.00015288274,0.000026206333,0.000044245717,0.000021698555,0.000057927267,0.000026614447,0.000051380273,0.0000012948951],"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":[0.0008006687,0.00026486287,0.0001401333,0.00016608599,0.000064616586,0.00000217073,0.0028298358,0.33923456,0.6437887,0.0036494145,0.000018746749,0.009040191],"study_design_scores_gemma":[0.0014254967,0.00009511687,0.00024584527,0.000011378582,0.00005407362,0.000002365357,0.00017542613,0.9770834,0.01575391,0.0049584764,0.0000018699612,0.00019267082],"about_ca_topic_score_codex":0.00043747938,"about_ca_topic_score_gemma":0.0005550394,"teacher_disagreement_score":0.6378488,"about_ca_system_score_codex":0.0000029829998,"about_ca_system_score_gemma":0.000017309983,"threshold_uncertainty_score":0.62343776},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966815,0.000078753685,0.00096073287,0.00009239416,0.00007463384,0.00001630346,0.000028381075,0.0000036650238,0.0020636516],"genre_scores_gemma":[0.99954623,0.000009840692,0.00021625202,0.000006121683,0.00009243721,4.6453532e-11,0.00001469769,5.687788e-7,0.00011384416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995712,0.000043538803,0.00012230627,0.000046291167,0.0001297637,0.00008689126],"domain_scores_gemma":[0.99941134,0.00022363126,0.00016794453,0.000043625187,0.00006220163,0.00009124419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050902786,0.000040424555,0.00010319611,0.00006143928,0.000094437986,0.000007856413,0.00006607599,0.000050040926,0.000031541833],"category_scores_gemma":[0.000054158027,0.00003300487,0.000043968776,0.000118039694,0.00005559437,0.00017233677,0.0000050151493,0.0001360042,0.0000011097678],"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":[0.000072473355,0.000004634625,0.99371856,0.0000035283233,0.000008710184,0.000021153463,0.00013154135,0.000031272648,0.0000069142943,0.00002403719,0.0002514919,0.0057256734],"study_design_scores_gemma":[0.00024185886,0.00008865731,0.9969167,0.000012363503,0.000033135097,0.000015723543,0.00020214113,0.00006667759,0.000057212852,0.00006561642,0.0022620352,0.000037877762],"about_ca_topic_score_codex":0.0002823128,"about_ca_topic_score_gemma":0.00019800707,"teacher_disagreement_score":0.0056877956,"about_ca_system_score_codex":0.0000075149483,"about_ca_system_score_gemma":0.00002440285,"threshold_uncertainty_score":0.13458996},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717301,0.00003981174,0.00821995,0.0006575076,0.00024642367,0.00009521366,0.000008422774,0.0002907803,0.018711796],"genre_scores_gemma":[0.98775864,0.0000053391655,0.01186298,0.00024511744,0.00005844916,3.8415016e-7,0.00003068875,0.0000037550765,0.00003465019],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920696,0.000059556074,0.00014713978,0.00023770379,0.000097025004,0.0002516083],"domain_scores_gemma":[0.9995986,0.00008476283,0.000044415563,0.00021565007,0.000018658156,0.000037912734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001491721,0.00010782424,0.00013886043,0.0005321966,0.000077412216,0.000025780831,0.000108362634,0.00019295675,0.000075998214],"category_scores_gemma":[0.000057764777,0.000094661445,0.000035626334,0.00041618923,0.000066969056,0.00006729319,0.000003724755,0.00024124995,0.00012802122],"study_design_candidate":"design_other","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":[0.000041762953,0.000023226967,0.03129437,0.0000029706741,0.0000031538084,0.000032508895,0.000011137382,0.0016406819,0.00108142,0.000027797963,0.00005635351,0.9657846],"study_design_scores_gemma":[0.0007865487,0.00069790275,0.25796032,0.000032563406,0.0000069527755,0.00006671487,0.000059226746,0.7183549,0.011664038,0.0072287614,0.0028934435,0.00024866246],"about_ca_topic_score_codex":0.00040192745,"about_ca_topic_score_gemma":0.000762499,"teacher_disagreement_score":0.96553594,"about_ca_system_score_codex":0.000011607118,"about_ca_system_score_gemma":0.000016000487,"threshold_uncertainty_score":0.38601816},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931705,0.0003372243,0.0023929845,0.00014539657,0.00007333616,0.000090169204,0.00011354721,0.000011150874,0.0036656903],"genre_scores_gemma":[0.9990696,0.00007327191,0.000059337966,0.000034058758,0.000023214356,8.2864894e-8,0.000069099784,7.284719e-7,0.00067064486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999629,0.000019374094,0.00010969202,0.00008535565,0.00007388569,0.00008265459],"domain_scores_gemma":[0.9997676,0.00009135519,0.000027928834,0.00007742911,0.000012451782,0.000023237859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016501712,0.00004195105,0.00009622411,0.000038915892,0.000045151373,0.000023480972,0.00003285444,0.000027095557,0.000026187678],"category_scores_gemma":[0.000008984663,0.000021214546,0.000025293655,0.00018260811,0.000012393237,0.000041157513,0.000001424072,0.00002497337,0.0000012748733],"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":[0.000035905436,0.0000033958404,0.98824567,0.000010253309,0.000044699726,6.9086144e-7,0.000118137876,0.002152229,0.0000050479275,0.0000028801662,0.0008354501,0.008545646],"study_design_scores_gemma":[0.00014353973,0.00002816417,0.63758403,0.0000079424,0.00006969485,0.000005277385,0.0016604689,0.3581538,0.0000055640894,0.000003900884,0.0023092346,0.000028405198],"about_ca_topic_score_codex":0.007019014,"about_ca_topic_score_gemma":0.014787145,"teacher_disagreement_score":0.35600156,"about_ca_system_score_codex":0.0000013390203,"about_ca_system_score_gemma":0.000004297321,"threshold_uncertainty_score":0.9995933},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971747,0.0013547365,0.000111464135,0.000024079054,0.00022698683,0.00014541161,0.000019172016,0.00003826981,0.0009052012],"genre_scores_gemma":[0.9985842,0.0000037254483,0.0010872836,0.000014803393,0.000121549034,3.0136786e-7,0.00005605711,0.000004697255,0.00012736036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987089,0.00013436927,0.00024180609,0.00020600819,0.0002908985,0.00041800135],"domain_scores_gemma":[0.99954295,0.000091983165,0.000101636324,0.00011417284,0.000033929744,0.000115348186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052841293,0.0001259768,0.00016482317,0.00009238263,0.00083173154,0.00014729709,0.00009744949,0.00007786413,0.000008929228],"category_scores_gemma":[0.000037273105,0.000085874264,0.00003119378,0.000171617,0.0001686222,0.00008709683,0.000025516563,0.00021080847,0.0000045132597],"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":[0.00001452938,0.0000042894862,0.9890864,0.0002441198,0.00001398049,0.000019870999,0.0061188424,0.0022967856,0.000016235395,0.00010149325,0.00015846927,0.0019249911],"study_design_scores_gemma":[0.00027077398,0.000018899553,0.9779238,0.0010363903,0.000011952087,0.00004410277,0.0029778923,0.015960682,0.000091869486,0.00012763412,0.0014048355,0.00013113428],"about_ca_topic_score_codex":0.0008478071,"about_ca_topic_score_gemma":0.0003177544,"teacher_disagreement_score":0.013663895,"about_ca_system_score_codex":0.000011756186,"about_ca_system_score_gemma":0.000057762652,"threshold_uncertainty_score":0.63970906},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97786725,0.00009811977,0.0000041257117,0.00057134416,0.00017894455,0.00021525446,0.000015018828,0.000023255387,0.021026665],"genre_scores_gemma":[0.9984317,0.000014337029,0.00005199226,0.00037400998,0.00021110765,2.7696066e-7,0.000014079056,0.000006626553,0.0008958813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987113,0.00014279898,0.00029772092,0.00023245522,0.00032137352,0.00029436583],"domain_scores_gemma":[0.9992686,0.00027264183,0.00006790508,0.00030668263,0.000020993046,0.000063156316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005187415,0.00015333727,0.00024137751,0.00010437238,0.00011512585,0.000055068205,0.00018984424,0.00006092998,0.0002869535],"category_scores_gemma":[0.000111274916,0.00009459148,0.000056576577,0.00026871922,0.000053095562,0.00007891553,0.000011350165,0.00024625147,0.00014371824],"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":[0.000066859364,0.000101105994,0.96865284,0.0000055132105,0.000014843093,0.000029135499,0.0030256014,0.00039594658,0.000031038566,0.000011261914,0.0018990232,0.025766827],"study_design_scores_gemma":[0.00051293435,0.0002527643,0.97622454,0.00007303491,0.000015640375,0.000009020071,0.0008556632,0.005437891,0.000110149675,0.000017304665,0.016318766,0.00017230987],"about_ca_topic_score_codex":0.002163902,"about_ca_topic_score_gemma":0.009087308,"teacher_disagreement_score":0.025594518,"about_ca_system_score_codex":0.000009067139,"about_ca_system_score_gemma":0.000028720495,"threshold_uncertainty_score":0.50709313},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99082434,0.00022310411,0.0012077437,0.00048702824,0.000030328849,0.000044466662,0.0000011930279,0.000016643227,0.007165163],"genre_scores_gemma":[0.9992982,0.00030087086,0.00009550421,0.000041482705,0.000011962523,2.2770726e-7,0.000011938227,4.7713974e-7,0.00023929485],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996542,0.000027063106,0.00008916192,0.00007071215,0.0000775147,0.000081345876],"domain_scores_gemma":[0.9998764,0.000020745862,0.000019095838,0.000053404445,0.000007535878,0.000022825361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011121906,0.00003988202,0.000050189385,0.00006416681,0.00013555273,0.000050971164,0.000017702085,0.00002240495,0.00019014598],"category_scores_gemma":[0.0000041767757,0.000022349503,0.000020612919,0.00021907804,0.000014609931,0.00011534334,6.2775973e-7,0.000039368857,0.000010225121],"study_design_candidate":"design_other","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":[0.000022493385,0.000008411233,0.007749358,0.0000052076944,0.000019424477,0.0000021361195,0.0023638515,0.004285438,0.00012478764,0.000005196427,0.000055009226,0.9853587],"study_design_scores_gemma":[0.00011654488,0.00003099563,0.099861085,0.000004675179,0.000014970348,0.0000056078256,0.00053771416,0.8986739,0.00020879388,0.000036736034,0.00046426995,0.000044738787],"about_ca_topic_score_codex":0.0026905981,"about_ca_topic_score_gemma":0.017209264,"teacher_disagreement_score":0.98531395,"about_ca_system_score_codex":0.0000024697033,"about_ca_system_score_gemma":0.0000010033478,"threshold_uncertainty_score":0.96031725},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2832954,0.00027155888,0.6794055,0.0006165642,0.0002854819,0.0028731122,0.00039203872,0.0005096419,0.032350723],"genre_scores_gemma":[0.86817497,0.000014604708,0.13113298,0.00009292943,0.00012898148,0.0000026221844,0.00015039947,0.0000056228846,0.00029690278],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99913967,0.000068830945,0.00026642357,0.0002813009,0.000075417636,0.00016833805],"domain_scores_gemma":[0.99925333,0.00003766832,0.00017606368,0.00039593404,0.0000700484,0.000066960194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017445997,0.00010452063,0.000103097045,0.00004442295,0.00022739633,0.000036367113,0.0003507996,0.000067527646,0.0000353171],"category_scores_gemma":[0.0000011357461,0.00007142901,0.000059534534,0.00021794831,0.000051375584,0.0000906711,0.000014376457,0.00015651304,0.000047821388],"study_design_candidate":"design_other","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":[0.000015090343,0.0000484322,0.0033494267,0.0000058936344,0.000011287976,1.4145901e-7,0.0006605386,0.000043124677,0.010375026,0.000032204414,0.00014028141,0.98531854],"study_design_scores_gemma":[0.0004743985,0.00012364233,0.5180819,0.000011220638,0.00002607056,0.000015424557,0.00018959347,0.39583007,0.0058337618,0.0002899325,0.078923054,0.00020092861],"about_ca_topic_score_codex":0.0018363855,"about_ca_topic_score_gemma":0.00035126958,"teacher_disagreement_score":0.9851176,"about_ca_system_score_codex":0.0000035375372,"about_ca_system_score_gemma":0.000029833185,"threshold_uncertainty_score":0.29127905},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98320067,0.000067687884,0.00002310173,0.000020016074,0.000112985486,0.000020444664,0.000033286997,0.00001188317,0.016509915],"genre_scores_gemma":[0.9993911,0.000027925964,0.00023941511,0.00007304994,0.00004591758,7.4078748e-9,0.000045508394,0.0000010801189,0.00017601979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996129,0.000024891178,0.00009430179,0.00010235838,0.000077702694,0.00008779589],"domain_scores_gemma":[0.999739,0.00004005184,0.00004419249,0.00010999915,0.000015728816,0.00005102048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000823273,0.000053175852,0.00012959947,0.00007317267,0.000032408723,0.0000064613623,0.000042973646,0.000030241865,0.00016477556],"category_scores_gemma":[0.00001629614,0.000038201062,0.000033491484,0.00016497984,0.000033384313,0.000030822834,0.000002510624,0.00004789364,0.00003460799],"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":[0.000065870256,0.000013820066,0.97992706,0.000010293814,0.00009526893,0.00001816071,0.00057222886,0.00000977891,0.00003637247,0.0000041982266,0.000037313923,0.01920963],"study_design_scores_gemma":[0.000071317336,0.00008731667,0.99524,0.0000049542987,0.000083157065,0.0000027847059,0.000060811493,0.00414487,0.000091921866,0.00004165668,0.00011917951,0.000052035957],"about_ca_topic_score_codex":0.0032136862,"about_ca_topic_score_gemma":0.0003691471,"teacher_disagreement_score":0.019157594,"about_ca_system_score_codex":4.3504363e-7,"about_ca_system_score_gemma":0.0000060980065,"threshold_uncertainty_score":0.48581538},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99801296,0.00006321256,0.0005193404,0.00033008974,0.000017677858,0.000067300825,0.000030394458,0.000008547218,0.0009504801],"genre_scores_gemma":[0.99863356,0.00004083566,0.00046476364,0.0001528503,0.000016198983,7.75807e-8,0.000021858723,6.7251705e-7,0.00066918624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996577,0.00002381943,0.000068186884,0.000092661765,0.000096541604,0.000061104765],"domain_scores_gemma":[0.99982035,0.000060735372,0.000013910824,0.000038715796,0.000004332479,0.00006193707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010182672,0.00003582955,0.00004855978,0.000028916642,0.000048707305,0.0000020661853,0.000019284831,0.000018182718,0.00024194247],"category_scores_gemma":[0.000008517083,0.000025512472,0.00000905703,0.000031149888,0.000013345447,0.000023146047,0.000001952814,0.00001886672,0.00011158986],"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":[0.008733579,0.00015885901,0.4923065,0.00004016816,0.00007265563,0.000056856585,0.003604649,0.043940336,0.07012329,0.00032343346,0.016257267,0.36438242],"study_design_scores_gemma":[0.00009823113,0.00008240653,0.97593796,0.0000015916627,0.0000015592921,0.000034330733,0.00001652164,0.005735599,0.0010792465,0.000010674324,0.016961632,0.000040259616],"about_ca_topic_score_codex":0.00011709182,"about_ca_topic_score_gemma":0.00004995211,"teacher_disagreement_score":0.48363146,"about_ca_system_score_codex":8.0056884e-7,"about_ca_system_score_gemma":0.000008646342,"threshold_uncertainty_score":0.26491004},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021331528,0.000026270896,0.96415514,0.00009194556,0.00004936685,0.00040712982,0.00006246967,0.00015731018,0.013718865],"genre_scores_gemma":[0.51010036,0.000007251634,0.48842892,0.00086182164,0.00020862791,0.0000057522925,0.00014405843,0.000007775277,0.00023540652],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993513,0.00002759341,0.0001196373,0.0002463851,0.00008380121,0.00017126549],"domain_scores_gemma":[0.9995969,0.000043721964,0.00004289192,0.00020040966,0.0000334202,0.000082670034],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006576656,0.00010480827,0.00008432013,0.00007013813,0.00019640033,0.000044856737,0.00014107564,0.000051258343,0.00021657045],"category_scores_gemma":[3.34029e-7,0.00008713888,0.00004544123,0.0001714553,0.000038520328,0.000056608897,0.000005179642,0.00009746854,0.0010403651],"study_design_candidate":"design_other","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":[0.000010646038,0.000036754784,0.0003587678,0.0000035101602,0.000004773649,0.000002072537,0.00011016139,0.0002754815,0.0004883821,0.000003916906,0.0003641822,0.9983413],"study_design_scores_gemma":[0.00048238857,0.00020174407,0.09896145,0.000012860689,0.000020569894,0.000025168587,0.000048508988,0.557908,0.016791064,0.00024709402,0.32496944,0.0003317053],"about_ca_topic_score_codex":0.0005926888,"about_ca_topic_score_gemma":0.00022730631,"teacher_disagreement_score":0.9980096,"about_ca_system_score_codex":0.0000044533194,"about_ca_system_score_gemma":0.000017597085,"threshold_uncertainty_score":0.99973744},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9550137,0.00003489018,0.0000028572836,0.000077832636,0.00005483802,0.000090030495,0.0000031871355,0.000006911809,0.04471578],"genre_scores_gemma":[0.9994482,0.0000010280497,0.0000389877,0.000038295486,0.000025837126,4.78109e-8,0.000009287656,0.0000012381261,0.00043708735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994086,0.00006654147,0.00015828676,0.00009545649,0.00014115276,0.00012995217],"domain_scores_gemma":[0.99972355,0.00010193466,0.000031203115,0.00011864267,0.000010665411,0.000014003289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025151653,0.000060554536,0.00012109128,0.000049466933,0.000030144245,0.0000084918875,0.00006999932,0.000022200933,0.00031311336],"category_scores_gemma":[0.000006799474,0.000025386085,0.000024786812,0.000044305343,0.000027042885,0.000026234558,0.0000044223802,0.000056494875,0.00003194337],"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":[0.000040011084,0.000050917883,0.9896798,0.0000025817922,0.0000064112905,0.000016366477,0.0026606421,0.005562942,0.00002902226,0.000008005914,0.0007048655,0.001238435],"study_design_scores_gemma":[0.00027826423,0.00021445833,0.99498,0.00002115478,0.0000049102946,0.0000014475858,0.001359278,0.0016849418,0.00096224714,0.0001658534,0.0002767732,0.000050690745],"about_ca_topic_score_codex":0.010022199,"about_ca_topic_score_gemma":0.0041537317,"teacher_disagreement_score":0.044434518,"about_ca_system_score_codex":5.8085874e-7,"about_ca_system_score_gemma":0.000005074933,"threshold_uncertainty_score":0.99657017},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996665,0.00025313097,0.00012054381,0.0000480178,0.000092160844,0.00031731065,0.000004118677,0.000026422018,0.0024732915],"genre_scores_gemma":[0.99617326,0.000026626814,0.0017022821,0.000012437411,0.00004215468,0.0000010455783,0.00003055307,0.0000045536945,0.0020070802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905604,0.000044720415,0.00022103822,0.00026178846,0.0001770497,0.00023936063],"domain_scores_gemma":[0.99969137,0.0000049682053,0.00010577939,0.00010948185,0.000008330956,0.00008010065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025288187,0.00014371758,0.0001277118,0.000053311196,0.00028788255,0.000029205055,0.00005214491,0.00021474696,0.00022339178],"category_scores_gemma":[0.000033878612,0.000110074616,0.000013610734,0.00018605389,0.00006847916,0.00015361453,0.000013696561,0.00041016767,0.000015707428],"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":[0.00007435408,0.00016619952,0.7655798,0.0003706298,0.00010113209,0.00006241329,0.0024044164,0.0021560637,0.015311813,0.00006136438,0.00031494978,0.21339686],"study_design_scores_gemma":[0.00020945085,0.000043979777,0.92379445,0.00002752094,0.0000070390834,0.00012025204,0.0010573756,0.00003577808,0.060419,0.00006173145,0.014042977,0.00018046497],"about_ca_topic_score_codex":0.00062677806,"about_ca_topic_score_gemma":0.000034908997,"teacher_disagreement_score":0.2132164,"about_ca_system_score_codex":0.000023956029,"about_ca_system_score_gemma":0.000056767603,"threshold_uncertainty_score":0.44887125},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764393,0.00010804358,0.0000020970506,0.000048040496,0.00001987856,0.00030780473,0.0000053421904,0.000017572536,0.023051897],"genre_scores_gemma":[0.9987679,0.000072731375,0.00006799263,0.00006505246,0.000027261352,1.2971704e-7,0.0000067077535,0.0000011028786,0.0009911136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932855,0.000106089276,0.00009690448,0.00019405482,0.00015012956,0.00012426153],"domain_scores_gemma":[0.99963903,0.00017241601,0.000024442044,0.00008616405,0.000007933415,0.00006999476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012465483,0.00009840499,0.000214614,0.000040016446,0.000076979086,0.000026776717,0.000047182675,0.000030229727,0.00017278269],"category_scores_gemma":[0.0000018061538,0.000060558217,0.0000121787725,0.000057250876,0.00005487776,0.000037412825,0.0000059868553,0.00005729173,0.000020209256],"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":[0.00011316747,0.00008656383,0.89790434,0.00003599145,0.000067147674,0.000027887732,0.0012004947,0.00011685958,0.0000015274612,0.000008005656,0.00052978843,0.09990822],"study_design_scores_gemma":[0.00066840375,0.0017311116,0.9947973,0.000020126223,0.000032976914,0.0000020426824,0.00034413062,0.0015763704,0.000021152526,0.000036265577,0.0006882866,0.00008183903],"about_ca_topic_score_codex":0.0018572182,"about_ca_topic_score_gemma":0.0024768687,"teacher_disagreement_score":0.09982638,"about_ca_system_score_codex":0.0000012574011,"about_ca_system_score_gemma":0.0000018929484,"threshold_uncertainty_score":0.28075707},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02234491,0.000034920038,0.9688557,0.0002588119,0.00003729756,0.00037883356,0.000012690081,0.00018446344,0.007892367],"genre_scores_gemma":[0.2337668,0.0000011759329,0.76473784,0.00088378415,0.00035426253,0.0000014994896,0.00013666437,0.000006992303,0.000111012894],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989738,0.000033521286,0.00020725786,0.00031615235,0.00014479287,0.00032449147],"domain_scores_gemma":[0.9992995,0.0002567726,0.00007101494,0.0002094723,0.00003543299,0.00012778543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040931988,0.00013208907,0.00011803094,0.000107867265,0.00028209886,0.00010307868,0.0001736426,0.00006564852,0.000062679355],"category_scores_gemma":[0.0000012080667,0.00011091433,0.00006641994,0.00028215957,0.000026565649,0.000051643216,0.000007833249,0.00017501031,0.00034329118],"study_design_candidate":"design_other","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":[0.000008722557,0.00003246498,0.006218493,0.000007267151,0.0000056961903,0.000003833573,0.000088697096,0.0039271293,0.00014867554,0.000020220547,0.00026532708,0.9892735],"study_design_scores_gemma":[0.0002745872,0.000066349625,0.079320915,0.000023694107,0.00001353313,0.000024021789,0.000047082653,0.15857162,0.0010955911,0.000087281594,0.760233,0.00024236755],"about_ca_topic_score_codex":0.00028359817,"about_ca_topic_score_gemma":0.00017917712,"teacher_disagreement_score":0.9890311,"about_ca_system_score_codex":0.0000059040144,"about_ca_system_score_gemma":0.000023045808,"threshold_uncertainty_score":0.45229548},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99878925,0.00015080902,0.000010249009,0.000092893664,0.00027348666,0.00010433979,0.000091862574,0.000013722255,0.00047339985],"genre_scores_gemma":[0.99909323,0.00029484753,0.00032811626,0.00006721888,0.00007413344,2.7299026e-7,0.00011481226,0.000005716864,0.000021674567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866545,0.00007739629,0.00047882524,0.00024206059,0.00023999505,0.0002962977],"domain_scores_gemma":[0.9992376,0.00014374148,0.0002149889,0.0002718263,0.00004859129,0.00008325761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006676133,0.00013900851,0.0005901983,0.0007237354,0.000024339863,0.00001938361,0.00017272055,0.00011686254,0.000775676],"category_scores_gemma":[0.00013583302,0.00012098248,0.00013581706,0.0013971885,0.00005730636,0.000112901136,0.000012046468,0.0002713409,0.000009527886],"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":[0.000032252578,0.000029322699,0.8969224,0.000021219203,0.00014661718,0.000025810285,0.0013632319,0.00024885728,0.0005348405,0.0000034870259,0.000004590789,0.10066739],"study_design_scores_gemma":[0.00022922733,0.000037656675,0.98661256,0.000032066775,0.000292999,0.0000022165286,0.000099902354,0.012024055,0.00021664122,0.00001678362,0.00030602136,0.00012987303],"about_ca_topic_score_codex":0.013858088,"about_ca_topic_score_gemma":0.076428495,"teacher_disagreement_score":0.100537516,"about_ca_system_score_codex":0.0000046116843,"about_ca_system_score_gemma":0.000025597752,"threshold_uncertainty_score":0.99270874},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961602,0.00037980644,0.000003473503,0.0011225486,0.0001698723,0.00013263586,0.000035596222,0.0000066478174,0.001989238],"genre_scores_gemma":[0.9976065,0.00032304256,0.00019216041,0.00001071304,0.00019464995,2.2230158e-7,0.000018328821,0.0000040532914,0.0016502939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99772704,0.00065578794,0.0002379872,0.0002732475,0.0007009721,0.0004049432],"domain_scores_gemma":[0.99908453,0.0003228069,0.000048611288,0.0002768698,0.0001972812,0.000069900096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026959507,0.000085726504,0.00019629822,0.0002462337,0.000273886,0.000025368427,0.00021275695,0.00007342575,0.0000672077],"category_scores_gemma":[0.0004359597,0.000053592812,0.00003511319,0.000587028,0.0007471693,0.00007073024,0.000039334,0.00046211685,0.000012459252],"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":[0.0030976904,0.000270314,0.8811428,0.00023064764,0.000118394564,0.00070974027,0.011437842,0.005463316,0.02332253,0.00014072342,0.004143971,0.06992206],"study_design_scores_gemma":[0.00046337108,0.000258523,0.9938629,0.000047427635,0.000004364535,0.00006374239,0.00077303953,0.0019505201,0.0013620902,0.00095387804,0.00018648076,0.00007365839],"about_ca_topic_score_codex":0.058652908,"about_ca_topic_score_gemma":0.009135821,"teacher_disagreement_score":0.11272014,"about_ca_system_score_codex":0.000004382029,"about_ca_system_score_gemma":0.00012299007,"threshold_uncertainty_score":0.9476156},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99908507,0.000036585614,0.0000078590365,0.0000071878244,0.00004667142,0.000031116782,0.000010444475,0.0000052906257,0.00076978095],"genre_scores_gemma":[0.9995627,0.00004123083,0.00031213352,0.00001529615,0.0000097014645,1.9312692e-8,0.000019762656,0.000001273518,0.000037898553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995788,0.00003182412,0.00012885673,0.00011279742,0.000062775005,0.000084976855],"domain_scores_gemma":[0.99973184,0.000021086502,0.00007431372,0.00012226494,0.00000896958,0.000041497064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004732015,0.000056972083,0.00015325428,0.00010387969,0.000021592456,0.0000043663345,0.000048647787,0.000030677576,0.0000845686],"category_scores_gemma":[0.0000036295128,0.000038166523,0.00005077654,0.000078468445,0.000037084395,0.000029056211,0.0000037414388,0.000026967613,0.000008118502],"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":[0.00008769523,0.000010984244,0.9719091,0.000010905165,0.000036192047,0.0000017285325,0.00092377025,0.00025162857,0.018828265,1.9825808e-7,0.0000017806053,0.007937741],"study_design_scores_gemma":[0.00010656949,0.00011268139,0.9655696,0.000015154652,0.00005956299,7.383094e-7,0.00004112538,0.0023293386,0.03170422,0.00000941121,0.0000040362033,0.00004754124],"about_ca_topic_score_codex":0.0019311717,"about_ca_topic_score_gemma":0.00029081496,"teacher_disagreement_score":0.0128759565,"about_ca_system_score_codex":6.2694403e-7,"about_ca_system_score_gemma":0.0000036281067,"threshold_uncertainty_score":0.2919367},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816471,0.000060093273,0.0000739976,0.0004755385,0.00026069407,0.00025052836,0.00009268426,0.00001905301,0.01712035],"genre_scores_gemma":[0.9992623,0.000007873762,0.0000661253,0.00022648656,0.00010874745,0.0000018617349,0.00016217197,0.0000035979951,0.00016087039],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990245,0.00009077259,0.00024182777,0.00017775106,0.00024080167,0.00022436559],"domain_scores_gemma":[0.9994755,0.000082583254,0.000108034255,0.00021261981,0.000032613014,0.00008865603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035553216,0.00011234438,0.00022038174,0.00008803028,0.000030407173,0.000011850588,0.000103328195,0.00010430236,0.00003273271],"category_scores_gemma":[0.00009417063,0.00007704646,0.0000658321,0.00012228849,0.000057571822,0.000037434864,0.0000034431355,0.0001650822,0.00000468974],"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":[0.00017252377,0.000041408464,0.9047543,0.000037809215,0.000008867247,0.000002734306,0.00009371054,0.0066593024,0.0000064933956,0.000013018549,0.00033756302,0.087872304],"study_design_scores_gemma":[0.00057026127,0.000085681226,0.97263587,0.00003662671,0.000011381938,0.000002618971,0.00002435337,0.025314078,0.00008597036,0.0001310905,0.0010338251,0.00006824871],"about_ca_topic_score_codex":0.00808538,"about_ca_topic_score_gemma":0.00405214,"teacher_disagreement_score":0.08780406,"about_ca_system_score_codex":0.0000043967148,"about_ca_system_score_gemma":0.000012035145,"threshold_uncertainty_score":0.99851984},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99337906,0.00038392146,0.000004482006,0.000045124372,0.000061022503,0.00005355602,0.00009269522,0.000010140568,0.0059700147],"genre_scores_gemma":[0.9992097,0.00022428691,0.00045023128,0.000003996421,0.00003184686,8.057368e-9,0.000013561361,0.0000010850013,0.00006525584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989576,0.00007245814,0.00047459544,0.00015532196,0.00018575873,0.00015428984],"domain_scores_gemma":[0.9994476,0.00014355639,0.0001519627,0.00016167475,0.000036496676,0.000058715614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036255663,0.000086608576,0.00026573925,0.000086999615,0.00002993639,0.00000544468,0.00007404086,0.00005326001,0.000017618178],"category_scores_gemma":[0.0000965209,0.000067009045,0.00003776279,0.00020893622,0.000055972745,0.00008779603,0.000005649998,0.00008521076,5.75268e-7],"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":[0.00024992222,0.00003525495,0.949857,0.000049223214,0.0000067467513,0.0000056781173,0.00045197093,0.0003745959,0.0014318136,0.0000025814015,0.000017190468,0.04751804],"study_design_scores_gemma":[0.00057902676,0.000092390415,0.9867209,0.00007311189,0.000004358651,0.000003903786,0.0002254094,0.0003448471,0.0118122045,0.00005947325,0.000008906174,0.00007544426],"about_ca_topic_score_codex":0.04370083,"about_ca_topic_score_gemma":0.003922853,"teacher_disagreement_score":0.047442596,"about_ca_system_score_codex":0.0000022148256,"about_ca_system_score_gemma":0.000017979824,"threshold_uncertainty_score":0.9626672},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99683243,0.00059267075,0.00007640324,0.00012941852,0.000434394,0.00022725525,0.000035864225,0.000021918893,0.0016496439],"genre_scores_gemma":[0.998935,0.0001561825,0.00046378223,0.00010038355,0.00011374483,8.364827e-7,0.000017505457,0.0000059332615,0.00020662078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990109,0.000096044176,0.00025890756,0.00018806879,0.000091270835,0.00035480055],"domain_scores_gemma":[0.99791354,0.0016163891,0.00010725577,0.00026589728,0.000040524625,0.000056398218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057534024,0.00012210646,0.00018102069,0.00006892303,0.0003657381,0.00005914136,0.00018993387,0.00007346016,0.0001499538],"category_scores_gemma":[0.00021408698,0.00006303724,0.00007712087,0.00016229223,0.00010355255,0.00009907757,0.000014514754,0.00012252333,0.000017312332],"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":[0.00017197753,0.000019008616,0.892394,0.000022163316,0.000049419898,0.00020561679,0.002598006,0.00062381977,0.000017214228,0.00006666723,0.00057666167,0.103255436],"study_design_scores_gemma":[0.0007728063,0.00028770603,0.9509245,0.00004616038,0.0000742251,0.00063517725,0.0036012281,0.03793843,0.00035616176,0.00059755397,0.004522671,0.0002433758],"about_ca_topic_score_codex":0.014646588,"about_ca_topic_score_gemma":0.12974839,"teacher_disagreement_score":0.1151018,"about_ca_system_score_codex":0.0000025248542,"about_ca_system_score_gemma":0.00003081356,"threshold_uncertainty_score":0.991915},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80266637,0.0008333764,0.0000014585389,0.0020203225,0.0027236908,0.00032794237,0.00006273615,0.00007833267,0.1912858],"genre_scores_gemma":[0.9833141,0.00015610023,0.0003087039,0.00023992,0.002161694,6.783364e-7,0.00012113472,0.000019846253,0.013677832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963237,0.0003452146,0.00033527773,0.0007011547,0.0010815915,0.0012130633],"domain_scores_gemma":[0.9977898,0.00051958225,0.00009123583,0.00086287135,0.0001848995,0.0005516328],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017076962,0.0003097398,0.00031439515,0.00030212523,0.00080172083,0.00051143154,0.0005727771,0.00039681085,0.0020749008],"category_scores_gemma":[0.00021288457,0.0002313961,0.00013180263,0.0006193832,0.0006489198,0.0001681536,0.0000432743,0.0019494756,0.0063441964],"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":[0.0003722956,0.00025664867,0.5759194,0.000111494235,0.000059513954,0.00039897487,0.0035292325,0.00013328025,0.000062814666,0.003084974,0.08718399,0.32888737],"study_design_scores_gemma":[0.00062808534,0.0010934438,0.5368941,0.00017698969,0.000024351042,0.00005908692,0.0007605008,0.012509256,0.000113955226,0.0011172901,0.446153,0.00046993673],"about_ca_topic_score_codex":0.0046136654,"about_ca_topic_score_gemma":0.019629547,"teacher_disagreement_score":0.35896903,"about_ca_system_score_codex":0.000008054131,"about_ca_system_score_gemma":0.00020698512,"threshold_uncertainty_score":0.99883735},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98669475,0.000044029115,0.000022458806,0.00014193472,0.00007390105,0.0000588322,0.000017521312,0.000008314018,0.012938258],"genre_scores_gemma":[0.9978292,0.000014757587,0.0011329534,0.00007022685,0.000035346002,1.565547e-8,0.000008204039,0.0000012570944,0.0009080453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995513,0.00002704419,0.00011618069,0.00007148916,0.00012740694,0.000106560066],"domain_scores_gemma":[0.99970806,0.000036297653,0.00006436028,0.00013712425,0.000027475722,0.000026682661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065619126,0.00004924548,0.00009539979,0.000012283701,0.00006112714,0.0000025669212,0.00010899677,0.00002851659,0.0000360824],"category_scores_gemma":[0.000008304559,0.000027856597,0.00004657763,0.00012909195,0.00008691132,0.000034253717,0.0000056255853,0.000055354845,0.000008030574],"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":[0.000027175916,0.000009730627,0.99074817,0.000015377675,0.000009414978,9.66366e-7,0.00095232035,0.006570115,0.00015745785,0.000017799017,0.00026865248,0.0012228002],"study_design_scores_gemma":[0.0001596108,0.000039567938,0.9930642,0.000014506689,0.000004215255,0.000016414553,0.000017669223,0.0049886224,0.0003612989,0.00013390413,0.0011607527,0.000039225983],"about_ca_topic_score_codex":0.017582888,"about_ca_topic_score_gemma":0.009515736,"teacher_disagreement_score":0.012030213,"about_ca_system_score_codex":7.03496e-7,"about_ca_system_score_gemma":0.000040761985,"threshold_uncertainty_score":0.98895913},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99820715,0.000026780774,0.0003094869,0.00011350852,0.00013201461,0.00019857395,0.000019908175,0.000016028082,0.0009765679],"genre_scores_gemma":[0.99913365,0.000011734229,0.0005369508,0.000018521378,0.00003133508,1.0971716e-7,0.00023537975,0.0000012244202,0.000031097476],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994488,0.000055475786,0.00014184685,0.00016411176,0.00010141006,0.00008837059],"domain_scores_gemma":[0.99980175,0.000026018142,0.000059782033,0.00006581859,0.000008343908,0.000038298218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001913995,0.00006724628,0.00009477126,0.00004584674,0.00003741204,0.000013156741,0.00002237316,0.000042206662,0.000025533704],"category_scores_gemma":[0.00007271308,0.0000482098,0.000008882252,0.000064907246,0.000033275297,0.00012756,0.0000025689237,0.000053217984,0.0000018641005],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011442341,0.000087697925,0.4088963,0.00009334563,0.0000050862272,0.000008208698,0.0003625894,0.0053519737,0.00012573482,0.000015488158,0.00022559067,0.5836838],"study_design_scores_gemma":[0.0002674868,0.00023195916,0.67723465,0.00003699574,0.000004099596,0.0000027265253,0.000011084708,0.32129043,0.0007801721,0.000053797532,0.000030045325,0.000056549306],"about_ca_topic_score_codex":0.008736106,"about_ca_topic_score_gemma":0.0053772675,"teacher_disagreement_score":0.5836272,"about_ca_system_score_codex":0.0000033230776,"about_ca_system_score_gemma":0.000037762067,"threshold_uncertainty_score":0.9978648},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837863,0.00003484295,0.000055361805,0.00045028573,0.00021115728,0.00006647435,0.000015542944,0.0000050112844,0.015375049],"genre_scores_gemma":[0.9997578,0.0000069866464,0.000025693402,0.000018958106,0.00010251971,1.8135914e-9,0.0000031205102,0.000002168696,0.00008273599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981113,0.00063527527,0.00018705477,0.00009824038,0.0006605586,0.00030758645],"domain_scores_gemma":[0.99891585,0.00043380595,0.0001734711,0.00015841502,0.00012402852,0.00019445145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022874577,0.00009050772,0.00018127752,0.00025410298,0.00014809465,0.00002680351,0.00035218036,0.000058218255,0.0000495916],"category_scores_gemma":[0.000097554745,0.0000542011,0.0000893236,0.000287715,0.00009173469,0.00019788703,0.000014414431,0.0006214176,0.000006451594],"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":[0.0035636625,0.00006518259,0.9032998,0.000020951953,0.000020412483,0.00045308625,0.0007182365,0.089098334,0.0000033992674,0.0003258143,0.00026348743,0.0021676226],"study_design_scores_gemma":[0.00073155557,0.0006264099,0.9515687,0.00026456977,0.000009954386,0.000024406252,0.003170096,0.04299269,0.00004324839,0.00010162248,0.00039775635,0.00006899693],"about_ca_topic_score_codex":0.0018057198,"about_ca_topic_score_gemma":0.0017261164,"teacher_disagreement_score":0.048268884,"about_ca_system_score_codex":0.00004922512,"about_ca_system_score_gemma":0.00016927178,"threshold_uncertainty_score":0.27297202},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780351,0.0010328406,0.0067278887,0.0005930835,0.0011357181,0.00031551055,0.00013397445,0.00018820676,0.011837699],"genre_scores_gemma":[0.9951015,0.000027702132,0.0028153716,0.00031222464,0.0005059619,8.563904e-7,0.00037245188,0.000013174615,0.0008507542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9984793,0.000041761337,0.00027095203,0.00040598674,0.0002618246,0.0005401442],"domain_scores_gemma":[0.9992559,0.00012373005,0.00008952974,0.00029789458,0.000044101507,0.00018884319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026528578,0.00021477588,0.00024743323,0.00012074385,0.00033886486,0.00020485683,0.0002265279,0.0001088009,0.00017666942],"category_scores_gemma":[0.000046180096,0.00017931599,0.000117815034,0.00017279538,0.00005501206,0.00024871915,0.0000087128055,0.00017750938,0.0002491608],"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":[0.002191375,0.00021695117,0.17923969,0.00036802303,0.00037820733,0.00087505206,0.012801546,0.48742172,0.0011310446,0.0008028772,0.06983443,0.24473909],"study_design_scores_gemma":[0.016144764,0.002244271,0.43528628,0.00093381346,0.00038054155,0.0005331972,0.0032951876,0.3174998,0.003361487,0.042975407,0.1737232,0.0036220257],"about_ca_topic_score_codex":0.0024133278,"about_ca_topic_score_gemma":0.0020186638,"teacher_disagreement_score":0.25604662,"about_ca_system_score_codex":0.00000805432,"about_ca_system_score_gemma":0.00009449159,"threshold_uncertainty_score":0.73122936},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99422514,0.00018321487,0.002475401,0.00020848299,0.000070512724,0.00012728131,0.00072120957,0.000021923046,0.0019668597],"genre_scores_gemma":[0.9973827,0.00007032465,0.0014749166,0.00021888365,0.000032549637,2.1096966e-7,0.00044933747,0.0000027041103,0.0003683726],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991201,0.000037506583,0.00022184182,0.00022968563,0.00016324114,0.00022759769],"domain_scores_gemma":[0.9994561,0.00010021374,0.00008605319,0.00023509003,0.00003382496,0.00008871652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022254036,0.00010036845,0.00021907092,0.00006422401,0.000082762665,0.000021831587,0.000115423536,0.000024125102,0.0007570435],"category_scores_gemma":[0.000021266944,0.00008082464,0.00014291302,0.00020148842,0.000037004924,0.00011470287,0.0000041968833,0.00005913326,0.000023405612],"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":[0.00036808147,0.0004212564,0.71834505,0.00024440401,0.001346069,0.000016236112,0.0013804622,0.05082707,0.0026373519,0.000020224208,0.04779305,0.17660074],"study_design_scores_gemma":[0.00029028402,0.00007776495,0.05195713,0.0000037568477,0.00019792076,0.0000015402449,0.000065289845,0.94175327,0.002069211,0.000092396105,0.0033380163,0.0001534286],"about_ca_topic_score_codex":0.002468427,"about_ca_topic_score_gemma":0.000683571,"teacher_disagreement_score":0.8909262,"about_ca_system_score_codex":0.000004183485,"about_ca_system_score_gemma":0.000008405286,"threshold_uncertainty_score":0.8289095},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9079324,0.0006322124,0.000020072675,0.0010582472,0.00037031557,0.000110617686,0.000015894224,0.000053904743,0.089806356],"genre_scores_gemma":[0.99637383,0.000049606257,0.00015936309,0.00045380185,0.00029229245,9.3254e-8,0.000027886037,0.000005160009,0.0026379398],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999085,0.000059921327,0.00014073863,0.00020718324,0.00023465641,0.0002724638],"domain_scores_gemma":[0.9992169,0.00023237374,0.00008744041,0.00034636143,0.00003124384,0.00008565037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002616092,0.00013374099,0.0001472507,0.000052670133,0.00017311831,0.000055659984,0.00025121088,0.00007091381,0.00040903754],"category_scores_gemma":[0.00013990315,0.000076097305,0.00007854537,0.00019650688,0.00008210885,0.00006481894,0.000010010943,0.00020877902,0.00008524108],"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":[0.0003172191,0.00006844656,0.13679844,0.000074896976,0.00007986537,0.00008318847,0.004171006,0.001424276,0.0009282711,0.00095423334,0.060611345,0.7944888],"study_design_scores_gemma":[0.00050332805,0.00033549123,0.9334882,0.000091003414,0.00003849777,0.000061952116,0.0006240405,0.003611547,0.0023866938,0.0009278447,0.0576088,0.0003226253],"about_ca_topic_score_codex":0.002569304,"about_ca_topic_score_gemma":0.0012731233,"teacher_disagreement_score":0.79668975,"about_ca_system_score_codex":0.0000034825232,"about_ca_system_score_gemma":0.000025672436,"threshold_uncertainty_score":0.44786742},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993389,0.00031015484,0.0019100372,0.00005465599,0.000016822785,0.0000961755,0.0000018408373,0.000009113305,0.0042121983],"genre_scores_gemma":[0.99917924,0.00012387472,0.0005837791,0.000020858568,0.00005758434,2.2888143e-7,0.0000071751024,0.000002562432,0.000024679743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992425,0.000031816446,0.00012100545,0.000115343435,0.0002917206,0.00019761296],"domain_scores_gemma":[0.9994689,0.0003002416,0.00002107031,0.00017874235,0.0000020602195,0.000028972168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009989751,0.000056379507,0.00006549066,0.000098781966,0.00003733189,0.000008428871,0.00012851619,0.000030384155,0.000016411117],"category_scores_gemma":[0.000020986274,0.00003775792,0.000016960144,0.00013736765,0.000024923493,0.00002931599,0.0000047370545,0.00016929375,0.00003754112],"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":[0.000046386653,0.000031134154,0.12681977,0.00001779748,0.0000044620965,0.000014363402,0.0014883949,0.72902703,0.001248889,0.000121238285,0.000014261362,0.14116625],"study_design_scores_gemma":[0.00012985885,0.00007880655,0.7890637,0.00002294376,0.0000014542993,0.0000031892491,0.00022727552,0.026095308,0.00061991374,0.000018866189,0.18367207,0.00006662925],"about_ca_topic_score_codex":0.00029789857,"about_ca_topic_score_gemma":0.00010347763,"teacher_disagreement_score":0.70293176,"about_ca_system_score_codex":0.0000064536316,"about_ca_system_score_gemma":0.0000013852826,"threshold_uncertainty_score":0.15397233},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9339992,0.000050232444,0.00120669,0.00020124906,0.00033863023,0.000097544376,0.00022070353,0.00003787268,0.063847885],"genre_scores_gemma":[0.99759483,0.000009864745,0.0013000303,0.0000716475,0.00010018117,3.4298015e-8,0.00045810125,0.0000041002904,0.00046119155],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911296,0.00008142389,0.00022097494,0.00022198491,0.00020656832,0.0001560861],"domain_scores_gemma":[0.99903554,0.00026547475,0.00011944054,0.00049485243,0.00003222962,0.00005248106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003628007,0.00010654306,0.00020365804,0.00007969831,0.00005847284,0.000023675077,0.00020140031,0.000060701506,0.0006367852],"category_scores_gemma":[0.00011466957,0.000079022255,0.00003921285,0.000084746796,0.000054662007,0.00021185106,0.000010767812,0.00009485789,0.00008701784],"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":[0.0019708055,0.0002558622,0.44297838,0.00045558508,0.00012067198,0.00003619666,0.00067330874,0.07133409,0.0108763045,0.000036339738,0.023735125,0.44752735],"study_design_scores_gemma":[0.00042981346,0.00038951775,0.16953088,0.00028451133,0.000036942467,0.00001752519,0.00005414003,0.809148,0.00559792,0.000059136288,0.0142490165,0.00020257592],"about_ca_topic_score_codex":0.0011256409,"about_ca_topic_score_gemma":0.0007701687,"teacher_disagreement_score":0.73781395,"about_ca_system_score_codex":0.0000013205886,"about_ca_system_score_gemma":0.000021320224,"threshold_uncertainty_score":0.6972351},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99455833,0.000013337139,0.00010731174,0.00018450184,0.00009941625,0.00006136903,0.0000030293681,0.000007349142,0.0049653687],"genre_scores_gemma":[0.9993411,0.0000021822182,0.00022597706,0.000048903763,0.000062689236,1.1328222e-7,0.00012428609,0.0000015236016,0.00019328253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992392,0.00012515341,0.000100299425,0.00010382209,0.0002443222,0.0001871824],"domain_scores_gemma":[0.9997393,0.0000530919,0.000016329397,0.00010069413,0.000029452873,0.00006116065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077619776,0.000048801587,0.000059432536,0.000079802,0.00012281428,0.000026670337,0.000029309673,0.000041788815,0.0000885727],"category_scores_gemma":[0.000008102302,0.000027808619,0.000011397193,0.00004842228,0.00003782179,0.00006095008,0.0000028847319,0.00007426086,0.00011346093],"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":[0.00018166532,0.000058946458,0.8936604,0.00002959322,0.0000068896975,0.000001085562,0.00074700505,0.00089038763,0.0004332457,0.00004143443,0.0001624269,0.1037869],"study_design_scores_gemma":[0.00013589082,0.000051822524,0.9855155,0.000012651474,0.0000022530708,8.243065e-7,0.000023872113,0.008440296,0.0012229462,0.000046982554,0.004500239,0.00004675307],"about_ca_topic_score_codex":0.0007921,"about_ca_topic_score_gemma":0.00018567429,"teacher_disagreement_score":0.10374014,"about_ca_system_score_codex":0.0000049086043,"about_ca_system_score_gemma":0.000009458876,"threshold_uncertainty_score":0.14583485},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80063003,0.0003098642,0.1981209,0.0003000988,0.000058396236,0.00026310422,0.00007636122,0.000021825805,0.0002193907],"genre_scores_gemma":[0.99710464,0.000031739182,0.002307452,0.000027654742,0.000050556107,0.0000014503477,0.00044045845,0.0000017303322,0.000034311593],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994542,0.000010632058,0.00013547392,0.00014211443,0.0001154142,0.00014216277],"domain_scores_gemma":[0.9996754,0.00005266276,0.000076900666,0.00010992396,0.000038553513,0.000046560795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021143498,0.00006904496,0.000102431586,0.000032948163,0.0002988918,0.000038134927,0.000066101,0.00004224549,0.0000010661008],"category_scores_gemma":[0.000023025425,0.000045558303,0.00004231698,0.00016134449,0.000037777347,0.000055349305,0.0000049359605,0.000043444976,0.0000015950088],"study_design_candidate":"design_other","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":[0.00006690123,0.000012853265,0.065193765,0.000020213869,0.000088070665,4.285941e-7,0.0019190542,0.024536224,0.000023228793,0.00026864838,0.000027370868,0.90784323],"study_design_scores_gemma":[0.00026899035,0.000024222752,0.58289576,0.000007961478,0.00008470273,0.0000013870088,0.00009205978,0.4138417,0.0004528099,0.00051561336,0.0017230388,0.00009175104],"about_ca_topic_score_codex":0.0013932586,"about_ca_topic_score_gemma":0.015774557,"teacher_disagreement_score":0.9077515,"about_ca_system_score_codex":0.0000060717193,"about_ca_system_score_gemma":0.000025568057,"threshold_uncertainty_score":0.88025737},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878921,0.000287791,0.00000553716,0.0008887715,0.00004569397,0.00015183438,0.0000028747577,0.000003616241,0.0107217925],"genre_scores_gemma":[0.9987816,0.000913044,0.000032542248,0.00008907366,0.00006644056,4.5334235e-7,0.000025397634,0.0000016804183,0.00008973715],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986197,0.0005020416,0.00012240777,0.0001230958,0.00038722984,0.00024556747],"domain_scores_gemma":[0.9993135,0.00042777776,0.000019662184,0.00017050725,0.000035634977,0.000032964123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00233412,0.00004181771,0.00008399372,0.00017732501,0.000039968734,0.000028282548,0.00015156034,0.00003939298,0.000155408],"category_scores_gemma":[0.0001847227,0.000028585555,0.0000142649715,0.0004991061,0.000056087367,0.00007312142,0.00000759168,0.00022368111,0.0001418108],"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":[0.0000830869,0.00004831652,0.238024,0.000037025515,0.0000029602095,0.00002625727,0.004450105,0.00068576937,0.000070354494,0.00008920173,0.00029882294,0.7561841],"study_design_scores_gemma":[0.00023851878,0.00013172303,0.9722327,0.000035744888,6.1206373e-7,0.0000015727588,0.00020934182,0.009384499,0.000048345904,0.00041337183,0.01726449,0.000039052804],"about_ca_topic_score_codex":0.017077453,"about_ca_topic_score_gemma":0.058126435,"teacher_disagreement_score":0.75614506,"about_ca_system_score_codex":0.000006650605,"about_ca_system_score_gemma":0.00003480637,"threshold_uncertainty_score":0.9894679},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98796535,0.00019967157,0.0006039701,0.006104992,0.00040731393,0.00024935429,0.000023254894,0.00001290409,0.004433199],"genre_scores_gemma":[0.9985695,0.000013566167,0.00015938448,0.0004463155,0.00013776898,5.9467535e-8,0.000002235461,0.0000029325074,0.0006682254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99899936,0.00026529815,0.00014447523,0.00012276648,0.00031163925,0.00015646163],"domain_scores_gemma":[0.9990925,0.0003400077,0.000096067226,0.00041997674,0.000015943235,0.000035473127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001702258,0.000097787946,0.00011425191,0.000027078637,0.00021718798,0.00001141281,0.00040058047,0.00005088189,0.00037046615],"category_scores_gemma":[0.00009307802,0.000034015535,0.000118010095,0.00020317681,0.0001340064,0.00001428463,0.000014615091,0.00023262438,0.000015939328],"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":[0.0011242371,0.00007358096,0.13231196,0.000065216744,0.00020883798,0.00003300315,0.022586837,0.43695724,0.003190014,0.00043212343,0.33707723,0.06593971],"study_design_scores_gemma":[0.000537161,0.0003204811,0.967334,0.00014029825,0.000043687207,0.00013502111,0.00016325728,0.0061771288,0.0052831145,0.01606218,0.0036087947,0.00019490055],"about_ca_topic_score_codex":0.00092578103,"about_ca_topic_score_gemma":0.001221506,"teacher_disagreement_score":0.83502203,"about_ca_system_score_codex":7.706356e-7,"about_ca_system_score_gemma":0.00008661008,"threshold_uncertainty_score":0.40563443},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832557,0.00013613734,0.0020819437,0.0002922654,0.000079954756,0.000044104712,0.00006629594,0.000033344782,0.0140102515],"genre_scores_gemma":[0.99312365,0.00018504537,0.0057336404,0.00008367202,0.000047988648,1.9951928e-8,0.0004235562,0.0000018147905,0.0004005851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942964,0.000051913084,0.00014920175,0.0001559739,0.000117426505,0.00009584481],"domain_scores_gemma":[0.99965334,0.0000971483,0.00007886678,0.00009390248,0.000019029598,0.000057725294],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000048099115,0.00007132342,0.00014448042,0.00016495373,0.000063971514,0.000040163508,0.00003647837,0.000048693906,0.0015540669],"category_scores_gemma":[0.0000082594015,0.00005106248,0.000039246766,0.00034971142,0.00005749321,0.00046271886,0.000005090985,0.000054251148,0.000005737541],"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":[0.00004227542,0.000014759832,0.83573383,0.0000069200037,0.00012891846,0.0000011774379,0.00011504673,0.024774084,0.00013274426,0.0001498318,0.00023541757,0.13866502],"study_design_scores_gemma":[0.00014121452,0.000025128129,0.81777334,0.0000095278365,0.0001645429,0.0000050027384,0.00019413178,0.17500196,0.0052847834,0.00007713281,0.0012385543,0.00008468972],"about_ca_topic_score_codex":0.0005370769,"about_ca_topic_score_gemma":0.0011554263,"teacher_disagreement_score":0.15022789,"about_ca_system_score_codex":0.0000010502954,"about_ca_system_score_gemma":0.000016140173,"threshold_uncertainty_score":0.99935865},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99677056,0.00017747932,0.000040220308,0.00008290311,0.000110040266,0.00008745646,0.00003085512,0.00003981649,0.0026606864],"genre_scores_gemma":[0.99910504,0.000030159621,0.0002441644,0.000038793532,0.00021921884,1.1853527e-7,0.00014544037,0.0000057369434,0.0002113041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986329,0.000099032375,0.00028342626,0.00037128836,0.00025944383,0.0003538796],"domain_scores_gemma":[0.99944866,0.000070684946,0.00012801036,0.0002239209,0.000022725522,0.000106006024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033109653,0.00017890712,0.0003570722,0.00045243165,0.00014332766,0.00006096094,0.000109723704,0.000095998956,0.0002564829],"category_scores_gemma":[0.000023123514,0.00015155069,0.00006828412,0.0005169679,0.00007021793,0.00012045992,0.000011829302,0.00015967271,0.000011818983],"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":[0.0000713766,0.000032195898,0.9709892,0.00002545846,0.00003318161,0.00003574128,0.0004136392,0.0049231867,0.00044394258,0.000003248663,0.000011269703,0.02301751],"study_design_scores_gemma":[0.0003605198,0.00012302145,0.9676105,0.000041918367,0.000054913773,0.000006753084,0.00015474728,0.030037422,0.0012226335,0.00005933824,0.00013253321,0.00019569501],"about_ca_topic_score_codex":0.092526734,"about_ca_topic_score_gemma":0.27388573,"teacher_disagreement_score":0.18135901,"about_ca_system_score_codex":0.0000068568365,"about_ca_system_score_gemma":0.000012216494,"threshold_uncertainty_score":0.9135162},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939378,0.00044955948,0.00021335542,0.00018416581,0.00020591529,0.000077027675,0.000014149943,0.000017384153,0.0049006613],"genre_scores_gemma":[0.99955297,0.000073659125,0.00013887655,0.000077465476,0.000054794033,3.2331627e-8,0.000017844699,0.0000016073183,0.00008273914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943507,0.00006038083,0.00017372928,0.000110175504,0.00012731111,0.00009333948],"domain_scores_gemma":[0.9993981,0.000318905,0.00009630106,0.00013337286,0.000028978287,0.000024329482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012661611,0.00006965384,0.0001299366,0.000015702413,0.00009284987,0.000024341409,0.000117430536,0.000047718633,0.0001481947],"category_scores_gemma":[0.00006274536,0.00003118683,0.00002578138,0.00017154602,0.00008012271,0.000064250184,0.000010596397,0.00010135607,0.0000021892208],"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":[0.000060375085,0.0000123442505,0.97026473,0.000016555736,0.000020643187,3.0231007e-7,0.0018502583,0.00045373823,0.0003291096,0.0000046744112,0.00035543856,0.026631806],"study_design_scores_gemma":[0.00022598018,0.00011421626,0.9371028,0.00010243258,0.00003114024,0.000008281719,0.0018680297,0.054242704,0.003155195,0.000324671,0.002734951,0.00008962356],"about_ca_topic_score_codex":0.018409941,"about_ca_topic_score_gemma":0.02485687,"teacher_disagreement_score":0.053788964,"about_ca_system_score_codex":0.0000010019302,"about_ca_system_score_gemma":0.000014483352,"threshold_uncertainty_score":0.99293697},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99748755,0.00026197484,0.00013465912,0.0005973272,0.00023691138,0.00013233123,0.000019127758,0.000038895443,0.0010912234],"genre_scores_gemma":[0.9990121,0.00032585268,0.000117904114,0.000038343525,0.000067381865,2.1709097e-7,0.00002117377,0.000004847352,0.0004121801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989044,0.00011423744,0.00023651643,0.00020905028,0.00021203839,0.00032373317],"domain_scores_gemma":[0.99898714,0.0005600219,0.0001241992,0.00021494886,0.00004921718,0.000064450775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048825925,0.00012507969,0.00016640831,0.000107936714,0.00017820187,0.000073822295,0.000147431,0.000072418174,0.000067646506],"category_scores_gemma":[0.00028598882,0.00006167793,0.000035329576,0.00027638325,0.00008201686,0.00017206975,0.000010645398,0.0000874206,0.000035587847],"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":[0.000060721286,0.000009542499,0.8831514,0.000010841614,0.000008508008,0.000008252324,0.00051758875,0.000265595,0.0011473844,0.0000072495086,0.00007624444,0.114736676],"study_design_scores_gemma":[0.00059399323,0.00009345801,0.98693985,0.00027966494,0.000008288911,0.000013200631,0.0001560753,0.006353596,0.0030813953,0.00012061772,0.0021870546,0.00017282148],"about_ca_topic_score_codex":0.0027561018,"about_ca_topic_score_gemma":0.022799132,"teacher_disagreement_score":0.11456385,"about_ca_system_score_codex":0.000007113316,"about_ca_system_score_gemma":0.000022592567,"threshold_uncertainty_score":0.99503225},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9407664,0.000026424013,0.0005403014,0.00007803896,0.0002614219,0.00012990634,0.00011816836,0.000048618862,0.05803075],"genre_scores_gemma":[0.9983925,0.0000044087906,0.00090270455,0.00010235703,0.00007325175,1.6712395e-8,0.00010958872,0.0000043895006,0.00041074504],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988988,0.000079796984,0.00026523235,0.00020480351,0.0003429113,0.00020844302],"domain_scores_gemma":[0.99927473,0.00020163904,0.00011503148,0.00028079696,0.00003558498,0.000092218856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019609883,0.00013859656,0.00025566175,0.000115101626,0.00005812185,0.000017885493,0.00012705608,0.00007282423,0.0008525002],"category_scores_gemma":[0.000030737632,0.000094201016,0.00007963939,0.00015399545,0.000056797173,0.000048624122,0.0000031038562,0.00009878984,0.00005658384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005179817,0.00041068383,0.53204536,0.0009912234,0.00016696332,0.0006055558,0.0010768767,0.09558602,0.002533448,0.0015627271,0.027310217,0.3325311],"study_design_scores_gemma":[0.002179676,0.0019393219,0.17733255,0.00042459174,0.00004469191,0.00003408224,0.00051419693,0.8016705,0.012087247,0.00010432665,0.00322944,0.00043938874],"about_ca_topic_score_codex":0.0140258465,"about_ca_topic_score_gemma":0.0021791635,"teacher_disagreement_score":0.7060845,"about_ca_system_score_codex":0.000005493331,"about_ca_system_score_gemma":0.000039473744,"threshold_uncertainty_score":0.9925398},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989644,0.00028446587,0.0034070176,0.000057739588,0.0002462071,0.000045633366,0.00017444362,0.000028326014,0.006112195],"genre_scores_gemma":[0.9970462,0.000016653225,0.0004070541,0.000080432415,0.00007278213,4.174691e-8,0.00045940807,0.0000017474556,0.0019156844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993989,0.000031712945,0.00015316026,0.00009775694,0.00010758459,0.00021087233],"domain_scores_gemma":[0.9995977,0.00010336323,0.000075950855,0.00010574789,0.000029826775,0.00008739364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022834928,0.00006655452,0.00017945428,0.000352084,0.0000651239,0.000018239667,0.000046957462,0.00004833337,0.00047889748],"category_scores_gemma":[0.000052187155,0.00004770472,0.00010229997,0.0008377926,0.000013889644,0.000110707464,0.0000015666687,0.00003868353,0.000019706922],"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":[0.00007106374,0.00003843522,0.93464756,0.000010714,0.0003590366,1.2434303e-7,0.000054509874,0.00026639435,0.0014436921,0.000008612941,0.0011781248,0.061921723],"study_design_scores_gemma":[0.00011948212,0.000073676965,0.9455441,0.0000013396854,0.00036505167,0.000001293561,0.000022451424,0.04621319,0.00056215003,0.0000054602756,0.007013076,0.000078674566],"about_ca_topic_score_codex":0.007455199,"about_ca_topic_score_gemma":0.0013151203,"teacher_disagreement_score":0.06184305,"about_ca_system_score_codex":0.0000026472615,"about_ca_system_score_gemma":0.000010172723,"threshold_uncertainty_score":0.99915427},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930219,0.00009192045,0.0051669716,0.000093260904,0.00015259755,0.00022107457,0.000022421169,0.000013376107,0.0012164454],"genre_scores_gemma":[0.99751014,0.000006505968,0.0022174506,0.00012854785,0.00005753272,5.4839654e-7,0.000013645328,0.0000029207106,0.00006272056],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99933195,0.00011147432,0.00016610643,0.00016480655,0.00009715517,0.00012848502],"domain_scores_gemma":[0.9995773,0.00020387462,0.00006063737,0.0000985584,0.000016155474,0.000043506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004910727,0.00008824717,0.00017623366,0.00011349346,0.000043835968,0.00001789861,0.00005464583,0.000034874203,0.000008315785],"category_scores_gemma":[0.0000757297,0.000061462364,0.000031846725,0.00007385746,0.00001172685,0.000039085007,0.000004834407,0.00006541655,0.0000019663025],"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":[0.00020248005,0.00010780501,0.09836763,0.00003256823,0.000017718214,0.0000024693013,0.0011489254,0.00015634205,0.0016968658,0.00008558848,0.000023812361,0.8981578],"study_design_scores_gemma":[0.0021154569,0.0043776818,0.9051417,0.000042503463,0.000040650975,0.000011666509,0.0006376532,0.08225996,0.0032547645,0.0014786624,0.0004177694,0.00022149569],"about_ca_topic_score_codex":0.0011290964,"about_ca_topic_score_gemma":0.0029424175,"teacher_disagreement_score":0.8979363,"about_ca_system_score_codex":0.0000014383326,"about_ca_system_score_gemma":0.0000070844926,"threshold_uncertainty_score":0.25063625},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9429042,0.00006988952,0.0000018579673,0.00007448909,0.00001097764,0.00004294401,0.0000023279174,0.0000050715516,0.05688827],"genre_scores_gemma":[0.9981588,0.00032660994,0.0001489853,0.00003124966,0.000017918437,3.5511206e-8,0.000004756278,0.0000011920781,0.0013104143],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994358,0.00006245912,0.00007092897,0.00012757878,0.00015246305,0.00015079952],"domain_scores_gemma":[0.9997738,0.00005523095,0.0000064783644,0.00010517588,0.0000026994712,0.0000566167],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003062017,0.000042402196,0.00006756096,0.00006720972,0.000036503636,0.000013601281,0.000046118257,0.000029220573,0.0036099453],"category_scores_gemma":[0.0000024174017,0.000028837085,0.0000072629177,0.00006335147,0.000043257074,0.000042067928,0.0000024467986,0.000081642866,0.000069327136],"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":[0.00007618273,0.000025621217,0.07965825,0.0000067657793,0.0000024199921,0.000017259335,0.0007492777,0.0085865725,0.00005558835,0.000011374541,0.000034531357,0.91077614],"study_design_scores_gemma":[0.00022260142,0.00032075154,0.96254057,0.000033787986,9.245589e-7,0.0000047972203,0.0004984347,0.03243457,0.00038777385,0.00017269446,0.0033064487,0.00007662961],"about_ca_topic_score_codex":0.005276883,"about_ca_topic_score_gemma":0.0024100074,"teacher_disagreement_score":0.91069955,"about_ca_system_score_codex":0.0000016303787,"about_ca_system_score_gemma":0.0000043425002,"threshold_uncertainty_score":0.99730086},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958333,0.0015003285,0.00020330725,0.0010711787,0.00010605415,0.00010870629,0.0000063209977,0.0000021339122,0.0011687153],"genre_scores_gemma":[0.99678636,0.0021042984,0.00070595247,0.000050406947,0.00018222717,9.120325e-8,0.0000018881557,0.0000024849091,0.00016631147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985296,0.00028052725,0.000278415,0.00010467899,0.0004899208,0.0003168426],"domain_scores_gemma":[0.99893814,0.00054744683,0.0000669992,0.00014972978,0.000128661,0.00016904497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00210421,0.000075482734,0.00018786492,0.00025736832,0.00018630299,0.000033141918,0.00026474605,0.00005436254,0.00023489616],"category_scores_gemma":[0.00037689783,0.00004095478,0.000044699962,0.00032101505,0.00011372262,0.00011598725,0.000026697018,0.00046549283,0.000009224193],"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":[0.0008131362,0.00004384758,0.9508985,0.00003536812,0.000028458131,0.0004780515,0.0034316545,0.011023381,0.00018386844,0.000009450767,0.008548734,0.024505543],"study_design_scores_gemma":[0.0012541472,0.0011861862,0.97360706,0.00044235747,0.000007028597,0.0015049583,0.0016170185,0.012025038,0.0006411164,0.0005814311,0.006977395,0.0001562711],"about_ca_topic_score_codex":0.00024824994,"about_ca_topic_score_gemma":0.00026754534,"teacher_disagreement_score":0.02434927,"about_ca_system_score_codex":0.0000037381838,"about_ca_system_score_gemma":0.0001105907,"threshold_uncertainty_score":0.25719482},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92541057,0.00031946218,0.07302771,0.00006353486,0.00044625066,0.00009133458,0.0001381381,0.00006155648,0.00044146733],"genre_scores_gemma":[0.9832919,0.000074437055,0.01621658,0.000038329086,0.00022219375,1.2932877e-10,0.000112250586,0.000007490601,0.000036799265],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988203,0.00011365377,0.000282092,0.00033353953,0.00022202313,0.0002283711],"domain_scores_gemma":[0.9989414,0.00023944363,0.00018006928,0.00051008514,0.000044295182,0.000084675565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018723411,0.00014488246,0.00025951804,0.000075997494,0.000112973124,0.000048820337,0.00013012176,0.000094530966,0.00007123992],"category_scores_gemma":[0.00017512565,0.000094368144,0.000045131714,0.00013503346,0.0000507226,0.0002718924,0.000020362837,0.00007991526,0.000047711303],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027387567,0.0000018793792,0.001558234,0.000009931357,0.000017486393,0.000009060361,0.00009112346,0.00039109745,0.010875158,1.2111596e-7,0.00001872631,0.9869998],"study_design_scores_gemma":[0.00032863324,0.000035737834,0.015786285,0.0003359119,0.00004118862,0.00004199774,0.000028195884,0.9754525,0.006602874,0.00017880961,0.000994238,0.00017366417],"about_ca_topic_score_codex":0.012935746,"about_ca_topic_score_gemma":0.0024689864,"teacher_disagreement_score":0.9868261,"about_ca_system_score_codex":0.000009613983,"about_ca_system_score_gemma":0.000033377168,"threshold_uncertainty_score":0.9936372},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09965061,0.000030371677,0.8860614,0.0009762352,0.0006078644,0.00010008671,0.00014553113,0.000075061886,0.0123528475],"genre_scores_gemma":[0.94016993,0.000010028538,0.05928118,0.00008438712,0.000097222015,1.23953985e-8,0.00011181612,0.0000016963882,0.00024371933],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993471,0.00009880816,0.00011184366,0.00018528807,0.00014752646,0.00010945081],"domain_scores_gemma":[0.99925065,0.00029560376,0.000047682348,0.00034302846,0.000022863662,0.000040167088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040014586,0.00005525445,0.000081973696,0.00006120758,0.00004575886,0.000011380093,0.00013237412,0.00003857239,0.00049086876],"category_scores_gemma":[0.00014704977,0.000029322842,0.000014528679,0.00011768528,0.000015727785,0.00011142971,0.0000063821003,0.000027281254,0.00002732795],"study_design_candidate":"design_other","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":[0.00015562143,0.000025661682,0.028378168,0.000016273452,0.000011800384,0.0000033055394,0.000024871653,0.008087803,0.005270655,0.0006319338,0.0032989995,0.9540949],"study_design_scores_gemma":[0.0005961101,0.0001913533,0.16790321,0.000095043826,0.000015856036,0.0000026953028,0.000006602119,0.81467354,0.0060696197,0.0005016063,0.0098080775,0.00013629164],"about_ca_topic_score_codex":0.0025293701,"about_ca_topic_score_gemma":0.00041483802,"teacher_disagreement_score":0.95395863,"about_ca_system_score_codex":0.0000022961294,"about_ca_system_score_gemma":0.000025107698,"threshold_uncertainty_score":0.5374669},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929651,0.000099108634,0.0003374552,0.00014761869,0.00014383165,0.00009064889,0.000011603065,0.000021151842,0.006183499],"genre_scores_gemma":[0.9994322,0.0000068935487,0.00021170577,0.0000799279,0.000063602216,1.7116948e-7,0.000016491707,0.000004668153,0.0001843182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925935,0.00008051872,0.00012240068,0.00020094527,0.0001316444,0.00020516022],"domain_scores_gemma":[0.999375,0.000028707402,0.00015605075,0.00033937683,0.000032870576,0.00006800904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012744498,0.00010373816,0.00017963765,0.00005749652,0.00030105215,0.000050824994,0.00019817316,0.00009822257,0.00015910527],"category_scores_gemma":[0.000049155246,0.00007418305,0.00004777557,0.000032576416,0.00022281852,0.00004542771,0.00001153526,0.00010408769,0.000047542948],"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":[0.00021269631,0.000017743265,0.92188036,0.000014918331,0.00007284295,0.00015722752,0.00031738813,0.0011151176,0.0028852068,0.000002267921,0.000031279502,0.07329294],"study_design_scores_gemma":[0.00040351046,0.000412316,0.9826913,0.000007100489,0.000033121167,0.000034771536,0.000050708128,0.0023616964,0.0093549965,0.00008509773,0.0044455007,0.0001198674],"about_ca_topic_score_codex":0.005357671,"about_ca_topic_score_gemma":0.026563115,"teacher_disagreement_score":0.07317307,"about_ca_system_score_codex":0.0000021069789,"about_ca_system_score_gemma":0.000016337763,"threshold_uncertainty_score":0.99119955},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5941362,0.0005012307,0.00007090111,0.00012634776,0.0009710089,0.00022291784,0.00028449178,0.00014473166,0.40354216],"genre_scores_gemma":[0.9935633,0.0018920391,0.0008138937,0.0016174233,0.0003260551,2.8707433e-7,0.0016751767,0.000005593966,0.00010623021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892896,0.000078904515,0.0003281245,0.00014659921,0.00016203224,0.00035536813],"domain_scores_gemma":[0.99942833,0.000043871976,0.00015001293,0.00015568848,0.0000053721,0.00021673678],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008617337,0.0002022318,0.00016337448,0.00009478097,0.00036857606,0.00020888569,0.0001375311,0.00014255363,0.002184721],"category_scores_gemma":[0.0000039404126,0.00015089751,0.00006832728,0.00015580913,0.000050424234,0.0071735187,0.000027703843,0.0002856506,0.000065731074],"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":[0.00031314592,0.00006550622,0.9032648,0.00006299911,0.00012390484,0.000013459433,0.008769901,0.0019863776,0.00001050137,0.015912611,0.005788305,0.06368848],"study_design_scores_gemma":[0.000462853,0.00006537048,0.8329755,0.000050712464,0.0000148569725,0.000026086964,0.00008443178,0.0035975734,0.000024136194,0.00012735146,0.16233823,0.00023289368],"about_ca_topic_score_codex":0.000002062206,"about_ca_topic_score_gemma":0.0000045365314,"teacher_disagreement_score":0.40343595,"about_ca_system_score_codex":0.0000026637508,"about_ca_system_score_gemma":0.000022042532,"threshold_uncertainty_score":0.99872744},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99251,0.0008884745,0.00002536115,0.00016151424,0.0002502323,0.00025800706,0.000030247053,0.000091476686,0.0057846783],"genre_scores_gemma":[0.9920467,0.00032065384,0.0047352267,0.0023902622,0.000080401514,6.9300836e-7,0.000053834137,0.000011141356,0.00036107597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984346,0.00016361086,0.00026149425,0.00038779515,0.00019274862,0.0005597647],"domain_scores_gemma":[0.9992435,0.00012079529,0.0000674276,0.00031500513,0.000045113768,0.00020818325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036315448,0.00023630644,0.0002412984,0.00084007723,0.00012790228,0.00011832552,0.00018810821,0.00006466942,0.00087887153],"category_scores_gemma":[0.000030611547,0.00018773555,0.00009022614,0.0020103832,0.00007172095,0.0002939241,0.000021248143,0.00021107151,0.00014985021],"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":[0.00007496861,0.000014049237,0.9257468,0.000005446423,0.00001646717,0.0000702782,0.00051456684,0.00011717227,0.00003440363,0.0000021259527,0.00013395539,0.07326975],"study_design_scores_gemma":[0.00027770965,0.000063521045,0.9844868,0.00008724322,0.000016854545,0.000010973831,0.00003543016,0.0015176256,0.00028463968,0.00032711745,0.012583791,0.0003082725],"about_ca_topic_score_codex":0.09044787,"about_ca_topic_score_gemma":0.11590277,"teacher_disagreement_score":0.07296147,"about_ca_system_score_codex":0.000003695983,"about_ca_system_score_gemma":0.000011471988,"threshold_uncertainty_score":0.9623027},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43356133,0.0005030068,0.000012249041,0.000107779575,0.000548503,0.00011866352,0.000928491,0.000078093064,0.56414187],"genre_scores_gemma":[0.99332297,0.000032428754,0.0005109721,0.0009887476,0.000107683736,1.19060786e-7,0.001017696,0.0000049442515,0.004014451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990893,0.000051082934,0.00014664556,0.00025680306,0.00014088016,0.00031529216],"domain_scores_gemma":[0.9994266,0.000033262564,0.000046999085,0.000330129,0.00001376443,0.00014922743],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015107122,0.0001354259,0.00013582634,0.000121652556,0.00012418487,0.000052734667,0.0001676291,0.000041284806,0.074284025],"category_scores_gemma":[0.000006003628,0.00009922156,0.000061523184,0.0002942785,0.000077970326,0.00014837389,0.0000087148865,0.00013557127,0.003471872],"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":[0.000029259834,0.00001617179,0.90942776,0.0000051533652,0.00003151805,0.000046301408,0.00012915338,0.000013705634,7.9885046e-7,0.000013250657,0.05756465,0.032722294],"study_design_scores_gemma":[0.00018375165,0.000030424071,0.66371477,0.000006912101,0.000012570263,0.000008051576,0.0000135056025,0.00016033962,0.000014229013,0.00038788258,0.33533704,0.00013050975],"about_ca_topic_score_codex":0.0039817146,"about_ca_topic_score_gemma":0.026967859,"teacher_disagreement_score":0.56012744,"about_ca_system_score_codex":6.389662e-7,"about_ca_system_score_gemma":0.000011478781,"threshold_uncertainty_score":0.997304},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8074161,0.00032714175,0.19026922,0.0012075006,0.0004768151,0.00007088434,0.000015685457,0.0000030596336,0.00021360209],"genre_scores_gemma":[0.96388155,0.00007211978,0.035699893,0.00004788748,0.0002714832,1.3279994e-9,0.000008164201,0.000002713096,0.000016186837],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991677,0.000037453465,0.00029514873,0.000099971294,0.000288398,0.0001113366],"domain_scores_gemma":[0.9983675,0.00025419082,0.00080624066,0.00016074187,0.0003642445,0.00004710586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004923173,0.00008101486,0.00018839513,0.00015384838,0.00037198002,0.0002301065,0.00022249708,0.000042269978,0.0000011086873],"category_scores_gemma":[0.00023022137,0.00004874151,0.00015574564,0.000055151908,0.00009421969,0.00010912646,0.000010217815,0.000099065706,1.4622124e-7],"study_design_candidate":"design_other","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":[0.00017556349,0.0000031502436,0.026423972,0.000009209146,0.00035170378,0.000012036135,0.00020108564,0.0076292027,0.001627621,0.000008932965,0.000020011117,0.9635375],"study_design_scores_gemma":[0.00033572502,0.00003223142,0.44435441,0.000093519935,0.00017528907,0.0001162355,0.00019574216,0.5513678,0.00086427387,0.0005921412,0.0018026078,0.00007001226],"about_ca_topic_score_codex":0.0024985943,"about_ca_topic_score_gemma":0.002629648,"teacher_disagreement_score":0.9634675,"about_ca_system_score_codex":0.00000806238,"about_ca_system_score_gemma":0.00004538931,"threshold_uncertainty_score":0.3777144},"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":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000003762536,0.98398423,7.8507514e-7,0.000024345587,0.00024744673,0.0018327045,0.00018242409,0.000012635797,0.013711639],"genre_scores_gemma":[0.0000037814377,0.9944995,0.00011516554,0.00010644756,0.0003646915,0.000005247477,0.0012004065,0.00002270455,0.0036820523],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945967,0.001986992,0.0013186204,0.0006563765,0.0008827455,0.0005585168],"domain_scores_gemma":[0.9980079,0.0002684344,0.00037641928,0.0010021117,0.0000037367224,0.00034141773],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0040136995,0.00053069385,0.0031476673,0.00016746645,0.0001205833,0.00003225287,0.00059524155,0.00025064647,0.0014861972],"category_scores_gemma":[0.00017146503,0.00032835154,0.00073980994,0.00043320886,0.0002659785,0.00009902886,0.000057332305,0.0007997097,0.0057282206],"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":[0.00000202861,0.000020521136,0.00012720336,0.010726444,0.000023092687,0.000013404027,0.000030339437,5.5325778e-8,4.801489e-8,2.3439257e-7,0.1891173,0.79993933],"study_design_scores_gemma":[0.00008118839,0.00014494144,0.000036202815,0.0497509,0.00033951897,0.000076590535,0.0000056828085,0.000006797196,1.1765364e-7,0.000006258072,0.9492339,0.00031791645],"about_ca_topic_score_codex":0.00023379648,"about_ca_topic_score_gemma":0.00007887796,"teacher_disagreement_score":0.7996214,"about_ca_system_score_codex":0.000048121063,"about_ca_system_score_gemma":0.00012664587,"threshold_uncertainty_score":0.99991685},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978719,0.000048655947,0.0008074121,0.00034901645,0.00013214783,0.00012636495,0.00010866559,0.000007886584,0.0005479836],"genre_scores_gemma":[0.99937755,0.000032711214,0.00034696783,0.000085798136,0.000067150686,6.426343e-8,0.000032868935,0.0000034689,0.00005340616],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991597,0.000109381326,0.0002082365,0.00011111913,0.0002156849,0.00019587633],"domain_scores_gemma":[0.9986858,0.00039667296,0.0002948719,0.00051300257,0.000058806218,0.00005083995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008805115,0.00010646605,0.00016542,0.000008491628,0.0008344089,0.00012849196,0.00030106786,0.00003193708,0.00004313737],"category_scores_gemma":[0.00012223342,0.00005178946,0.000028996365,0.00004697826,0.00042435576,0.000039707946,0.000034765362,0.00012920857,0.0000010871693],"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":[0.00026171512,0.00014239972,0.21895377,0.0004761171,0.0004505191,0.00004889841,0.38948357,0.3491812,0.000042149095,0.00045657664,0.001824134,0.038678948],"study_design_scores_gemma":[0.00016212648,0.000015380268,0.09697096,0.0000478187,0.000030019186,0.000028722403,0.0031977976,0.898542,0.000015919313,0.0004952653,0.0003901538,0.000103835955],"about_ca_topic_score_codex":0.73832715,"about_ca_topic_score_gemma":0.73514104,"teacher_disagreement_score":0.5493608,"about_ca_system_score_codex":0.00000625672,"about_ca_system_score_gemma":0.000079020036,"threshold_uncertainty_score":0.64176834},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988824,0.0002123937,0.00006461914,0.00007592221,0.0001289591,0.00025631674,0.0002658768,0.000012240837,0.00010123893],"genre_scores_gemma":[0.98767656,0.000750014,0.0018053941,0.0000036216163,0.000016809745,3.5761637e-8,0.0036465728,0.0000053070717,0.0060956795],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998959,0.0001651672,0.00011780717,0.000278093,0.00035118696,0.00012876518],"domain_scores_gemma":[0.9989353,0.00010847494,0.00043643452,0.00026523246,0.00017064923,0.00008392571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036972712,0.00015064195,0.00028709002,0.00011636935,0.00022885021,0.00008259104,0.000121616315,0.00020099292,0.000102649276],"category_scores_gemma":[0.000058180533,0.0001386962,0.00003458418,0.000038311995,0.00011328196,0.00052244193,0.0000050443873,0.00010400498,0.0000064613514],"study_design_candidate":"design_other","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":[0.00043521568,0.00007229622,0.09851628,0.00030937744,0.00017054226,0.000005433955,0.023408627,0.00087530713,0.0007880258,0.0000033349236,0.0006656556,0.8747499],"study_design_scores_gemma":[0.0009752448,0.00020015227,0.709011,0.0001668099,0.0003960985,0.000003309998,0.0055097546,0.2830485,0.00023751707,0.00013482777,0.00009475381,0.0002219717],"about_ca_topic_score_codex":0.36274308,"about_ca_topic_score_gemma":0.13319235,"teacher_disagreement_score":0.87452793,"about_ca_system_score_codex":0.000007267765,"about_ca_system_score_gemma":0.000049120677,"threshold_uncertainty_score":0.8826246},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990828,0.0003386713,0.000006345607,0.00013869147,0.0005196686,0.0001591994,0.000028231263,0.00003962688,0.007941581],"genre_scores_gemma":[0.99641937,0.000075726784,0.0029144362,0.00003575305,0.00034157626,1.1001274e-7,0.00009851413,0.0000068213885,0.00010771758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980196,0.00029121025,0.00035319105,0.00038766707,0.0005175625,0.0004307879],"domain_scores_gemma":[0.99859893,0.0003817398,0.00012472211,0.0005585657,0.00014064278,0.00019540121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030524852,0.00011914949,0.00019661606,0.00023549958,0.00008977508,0.000048590893,0.0003122853,0.0001335345,0.0000018050973],"category_scores_gemma":[0.0011243561,0.00010112013,0.00002447238,0.00048086818,0.00008299752,0.00018973903,0.000043321834,0.00036713795,0.00011051666],"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":[0.00014457949,0.00007091156,0.58984566,0.000048499838,0.000009851184,0.00011945163,0.0023922243,0.0026641353,0.001769117,5.7044645e-8,0.00018635562,0.40274915],"study_design_scores_gemma":[0.0005224867,0.00010019037,0.95021755,0.0001482795,0.0000054752622,0.000022382288,0.00062988617,0.04486663,0.0009421304,0.000022986258,0.002386275,0.00013575115],"about_ca_topic_score_codex":0.46297482,"about_ca_topic_score_gemma":0.6418206,"teacher_disagreement_score":0.4026134,"about_ca_system_score_codex":0.000010204674,"about_ca_system_score_gemma":0.00007074861,"threshold_uncertainty_score":0.54060125},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98348254,0.000296742,1.7363496e-7,0.002058174,0.00022360348,0.00004958598,0.000018530332,0.000027112475,0.013843536],"genre_scores_gemma":[0.9973202,0.00006110492,0.00008239827,0.0009975487,0.00051039417,1.6954635e-7,0.00007496075,0.0000030356348,0.00095022476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992367,0.00010322248,0.000086125125,0.00017367794,0.00011689219,0.00028335163],"domain_scores_gemma":[0.9994738,0.00013804247,0.000038802064,0.00014062003,0.000022219449,0.00018652284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024106549,0.00011115993,0.000100907004,0.0000546366,0.00055785966,0.00027911286,0.000088858054,0.00008463115,0.000025328221],"category_scores_gemma":[0.00006226818,0.000055741693,0.000031762003,0.000108733635,0.000044829176,0.00013829458,0.0000059376753,0.00016691178,0.00003416999],"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":[0.0000031687555,0.0000013081802,0.96556354,0.0000038627213,0.000008283962,0.0000048355555,0.0006336733,0.00006620319,0.000009931053,0.000032176635,0.013427976,0.020245072],"study_design_scores_gemma":[0.00009971093,0.000020808428,0.92339057,0.00002531563,0.000010597305,0.000026813308,0.000053446664,0.0021352998,0.0000013209957,0.000015491345,0.07411413,0.00010649953],"about_ca_topic_score_codex":0.801976,"about_ca_topic_score_gemma":0.98572034,"teacher_disagreement_score":0.18374431,"about_ca_system_score_codex":0.0000036685035,"about_ca_system_score_gemma":0.000012544099,"threshold_uncertainty_score":0.42906618},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91977596,0.00003982708,0.0010912066,0.0014484471,0.00045686174,0.000521574,0.00011840863,0.00023524804,0.07631245],"genre_scores_gemma":[0.9957246,0.000012249742,0.002478105,0.00037905452,0.00023354695,0.0000032135943,0.0005528011,0.000009893076,0.00060650165],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823856,0.00020463725,0.00029226966,0.0004547807,0.0003845396,0.00042520388],"domain_scores_gemma":[0.9988421,0.00026527626,0.0000845352,0.00049616094,0.00011328939,0.00019859592],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003893913,0.00021342408,0.00019690662,0.00013546844,0.00036438773,0.0002481619,0.0002303887,0.00013747704,0.0028234029],"category_scores_gemma":[0.00013814522,0.00016396424,0.00009947682,0.00029649562,0.000084934414,0.00036276475,0.000010079764,0.00033350772,0.0012067386],"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":[0.00035286913,0.0003708464,0.7546026,0.00020628706,0.000078449855,0.000045308043,0.00069132296,0.013207437,0.0025851072,0.00013891306,0.026439453,0.20128143],"study_design_scores_gemma":[0.00029176386,0.00007792625,0.48562467,0.000032014053,0.000011356445,0.0000068456707,0.00014008794,0.51042205,0.00018765147,0.00009673337,0.0029361586,0.00017274982],"about_ca_topic_score_codex":0.0059626075,"about_ca_topic_score_gemma":0.0024050423,"teacher_disagreement_score":0.49721462,"about_ca_system_score_codex":0.000015288955,"about_ca_system_score_gemma":0.00011651951,"threshold_uncertainty_score":0.99957097},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978396,0.00022382858,0.00008197282,0.00014287718,0.00015054701,0.00016872837,0.0000016830568,0.0000022104248,0.0013885093],"genre_scores_gemma":[0.998242,0.00003524283,0.0012507717,0.0000069862044,0.000038627,7.683939e-8,0.0000027409792,0.0000022771644,0.00042127227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980876,0.00014762845,0.0005535691,0.000093049,0.00089340686,0.00022475187],"domain_scores_gemma":[0.9950122,0.00009749843,0.00092034246,0.00024877948,0.0036312295,0.00008993907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004860597,0.00009116216,0.00027357347,0.00015868277,0.00021854287,0.00007747707,0.0002398728,0.000053628723,0.00011497737],"category_scores_gemma":[0.0021062496,0.00006486853,0.000068177345,0.00007444993,0.00008806833,0.0005141075,0.000021059821,0.00011031866,0.0000011326152],"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":[0.00016698007,0.000059898506,0.84658265,0.00017481956,0.00010168461,0.0000790609,0.001755184,0.007683739,0.000008685771,0.0000325971,0.0001758558,0.14317885],"study_design_scores_gemma":[0.0007297056,0.00011882412,0.9881031,0.000049328843,0.000070542104,0.000021766104,0.0031501972,0.0016226112,0.00062787917,0.0015605165,0.0038635517,0.000082012106],"about_ca_topic_score_codex":0.0015311935,"about_ca_topic_score_gemma":0.0002897765,"teacher_disagreement_score":0.14309683,"about_ca_system_score_codex":0.00006850576,"about_ca_system_score_gemma":0.0017948428,"threshold_uncertainty_score":0.3183974},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973514,0.00006311946,0.0000480678,0.0005191543,0.00003429449,0.00031281932,0.0000027773049,0.000012612343,0.0016557366],"genre_scores_gemma":[0.99906373,0.000024558238,0.0007485536,0.000044519405,0.000018995512,9.194224e-7,0.000013768827,0.0000021310839,0.00008282103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988506,0.00012770454,0.0002919826,0.00019130562,0.0002929203,0.00024551584],"domain_scores_gemma":[0.99843854,0.00059382396,0.0005338279,0.00033241563,0.000058333804,0.00004306642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058997073,0.00012343284,0.0002698037,0.000007910018,0.00032399502,0.00004961563,0.00032152556,0.00011682597,0.00008225145],"category_scores_gemma":[0.00016833981,0.000050685278,0.00012002738,0.00010203898,0.0013237629,0.00006348837,0.000020974467,0.00028539143,0.0000068930194],"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":[0.00019469082,0.00004710728,0.9390009,0.0000103868,0.000027651533,0.0000034173697,0.0002048657,0.0022609266,0.00001222046,0.0000042690444,0.00006213207,0.058171425],"study_design_scores_gemma":[0.00032248997,0.0028114484,0.99453086,0.000052699896,0.000017440434,0.000005262554,0.0002257151,0.00121128,0.00007120187,0.00013729294,0.00054314494,0.000071144044],"about_ca_topic_score_codex":0.13679597,"about_ca_topic_score_gemma":0.02364688,"teacher_disagreement_score":0.11314909,"about_ca_system_score_codex":0.000008864291,"about_ca_system_score_gemma":0.000037478072,"threshold_uncertainty_score":0.994169},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98566663,0.000061303,0.00022931956,0.00046538547,0.00030487965,0.000056220222,0.000061097475,0.00002041817,0.01313472],"genre_scores_gemma":[0.98969525,0.00004108247,0.008624956,0.000054050553,0.000041995732,1.1139955e-8,0.00005160135,0.0000020571367,0.0014889918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942964,0.00002559062,0.0001315154,0.0001325464,0.000139915,0.00014076175],"domain_scores_gemma":[0.99937725,0.000040862342,0.0001222425,0.00033306517,0.000076521894,0.000050081668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013197138,0.00008020609,0.00013604741,0.000014267223,0.00040479537,0.000072396084,0.00017140577,0.00003576595,0.00017330806],"category_scores_gemma":[0.00002597485,0.000055894365,0.000036538706,0.000036066584,0.000074670876,0.0003575026,0.0000118648795,0.00005826326,0.000005950989],"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":[0.000014459292,0.000007019688,0.9939636,0.0000130645185,0.000009603312,0.000004043593,0.000065493456,0.0030522195,0.00043295196,0.00006373144,0.00006596058,0.0023078274],"study_design_scores_gemma":[0.00011230884,0.000039402406,0.95261824,0.00002023048,0.000009385127,0.000007391113,0.000112531285,0.0459245,0.00025170445,0.00009829702,0.00071925996,0.0000867384],"about_ca_topic_score_codex":0.029821016,"about_ca_topic_score_gemma":0.014715545,"teacher_disagreement_score":0.04287228,"about_ca_system_score_codex":0.0000022438826,"about_ca_system_score_gemma":0.000047188216,"threshold_uncertainty_score":0.9766395},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99801916,0.00022489725,0.000013587838,0.00012749022,0.00016459431,0.00025238993,0.00021024272,0.000017204926,0.00097042456],"genre_scores_gemma":[0.989184,0.0015908147,0.00087716035,0.0000023337632,0.000017174407,4.2635935e-9,0.00046421785,0.000003897892,0.007860376],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9990804,0.00015107587,0.00016209137,0.00033294546,0.00014146251,0.00013202107],"domain_scores_gemma":[0.99917567,0.000044808927,0.00044792058,0.00021695926,0.000049879895,0.00006474729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018390619,0.00015897569,0.00027507,0.0002596197,0.00022324728,0.000013906152,0.00020147245,0.00016678727,0.00007421716],"category_scores_gemma":[0.000004677377,0.00014681807,0.0000739751,0.00047606227,0.00029921284,0.0005020556,0.000032985776,0.00017756029,0.0000017016314],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002966764,0.00023285122,0.13133635,0.0032475241,0.00084994454,0.0012551919,0.55278844,0.0003443521,0.00067353225,0.00005760886,0.0017056975,0.30454174],"study_design_scores_gemma":[0.00039648276,0.00005542467,0.35790417,0.000177522,0.0002281131,0.00002181858,0.64013815,0.00019111719,0.00034444724,0.00014699572,0.0002521834,0.00014358312],"about_ca_topic_score_codex":0.041184958,"about_ca_topic_score_gemma":0.14203253,"teacher_disagreement_score":0.30439815,"about_ca_system_score_codex":0.000006049957,"about_ca_system_score_gemma":0.00006353823,"threshold_uncertainty_score":0.9651999},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025544377,0.00027734027,0.0005521844,0.0002845001,0.005713573,0.0005758386,0.00029556028,0.0005754941,0.96618116],"genre_scores_gemma":[0.2655011,0.00011800105,0.0069784783,0.0023176346,0.012692505,0.0000014342932,0.0036608318,0.00020021545,0.7085298],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950209,0.00034003123,0.0010342345,0.0012702186,0.001153481,0.0011810806],"domain_scores_gemma":[0.9964782,0.0010071975,0.00073981844,0.0010082598,0.00019918897,0.00056731864],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0032455684,0.00080685347,0.00096564734,0.00037048428,0.00054872304,0.0017994095,0.0013372838,0.0038853625,0.0007293924],"category_scores_gemma":[0.0010401234,0.00069404655,0.0003847891,0.00013474614,0.00033347667,0.0010381832,0.00014607309,0.009083502,0.00012269414],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020941676,0.000024506731,0.057854664,0.00053764426,0.00034438018,0.00023269898,0.001838513,0.0005005235,0.00044972994,0.0015522875,0.06915531,0.86730033],"study_design_scores_gemma":[0.00059341476,0.000059605165,0.0045822747,0.00088397507,0.00030069717,0.00031661295,0.000023754383,0.032579683,0.00007410901,0.022100542,0.93677706,0.0017082623],"about_ca_topic_score_codex":0.022526933,"about_ca_topic_score_gemma":0.014330003,"teacher_disagreement_score":0.8676218,"about_ca_system_score_codex":0.00006938667,"about_ca_system_score_gemma":0.0010920756,"threshold_uncertainty_score":0.99955106},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945991,0.0014390447,0.0001284593,0.0007222886,0.0002527052,0.0001327364,0.00022229776,0.00010284619,0.0024005084],"genre_scores_gemma":[0.9745768,0.00050100166,0.023932641,0.00065164093,0.00019496276,1.9955388e-7,0.00008843485,0.000010593078,0.000043766766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99715924,0.00041916716,0.00051081326,0.0006859712,0.0004463328,0.0007784597],"domain_scores_gemma":[0.99716294,0.0013683756,0.0004628488,0.0005649384,0.00011998438,0.00032089505],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007311211,0.00035016463,0.0009685614,0.000022755661,0.000849272,0.0001460101,0.00069929415,0.00023745657,0.00031216905],"category_scores_gemma":[0.00097321917,0.00024692903,0.0003987558,0.00047336347,0.0013604711,0.00018082104,0.00009166142,0.00054750196,0.000029046134],"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":[0.00023248898,0.000055771096,0.98181313,0.00001622038,0.0001466303,0.000035525347,0.001241097,0.0026677856,0.0049274005,0.0000032770463,0.0012489567,0.007611691],"study_design_scores_gemma":[0.0008475095,0.0008393332,0.96590567,0.00003819537,0.0000885762,0.000029895691,0.0038372066,0.024071382,0.0019578014,0.000077251105,0.0017588257,0.00054837245],"about_ca_topic_score_codex":0.014521139,"about_ca_topic_score_gemma":0.0001769252,"teacher_disagreement_score":0.023804182,"about_ca_system_score_codex":0.000011332379,"about_ca_system_score_gemma":0.00005321073,"threshold_uncertainty_score":0.9999983},"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":"empirical","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74740446,0.000022445149,0.017061833,0.00020859223,0.21884888,0.00017610285,0.00001809838,0.000032922784,0.01622668],"genre_scores_gemma":[0.42013586,0.00003779802,0.03722464,0.00007918116,0.5423896,3.0509664e-10,0.0000831935,0.000008229401,0.00004153657],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871135,0.000056121793,0.0005466734,0.00017003775,0.00035845762,0.00015733637],"domain_scores_gemma":[0.99865955,0.00008962787,0.0006155749,0.00027283505,0.00028328822,0.000079129015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007782607,0.00011317947,0.00024222655,0.0001295953,0.000113555885,0.000079350786,0.00016496512,0.00012752545,0.000031449392],"category_scores_gemma":[0.00011761472,0.000087766544,0.000050957933,0.00022079065,0.000079652295,0.0003620564,0.00001779865,0.0002563541,0.000010878823],"study_design_candidate":"design_other","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":[0.0012483912,0.000016533,0.0002919563,0.00002943196,0.000074115604,0.000009015978,0.0009202071,0.0005608414,0.041233726,0.0000028421648,0.04706673,0.9085462],"study_design_scores_gemma":[0.001560449,0.0008722877,0.020373007,0.00024322959,0.00013873402,0.00020962206,0.0005971971,0.5854611,0.021539295,0.00060695683,0.36802828,0.00036988186],"about_ca_topic_score_codex":0.00057776395,"about_ca_topic_score_gemma":0.0027386302,"teacher_disagreement_score":0.9081763,"about_ca_system_score_codex":0.000005397857,"about_ca_system_score_gemma":0.00009440215,"threshold_uncertainty_score":0.35790157},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95665556,0.0000066445573,0.005484601,0.00003876846,0.00012712277,0.00011383576,0.00007173488,0.000025167468,0.037476584],"genre_scores_gemma":[0.99902713,0.000004538943,0.0005904791,0.0001825325,0.000040333016,2.7958885e-7,0.00006348324,0.0000029174032,0.00008828635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981635,0.000035288507,0.00030773546,0.0004706979,0.0005861321,0.00043662186],"domain_scores_gemma":[0.9990071,0.00011217173,0.00014452559,0.0005040558,0.000066949324,0.00016520415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086533587,0.00015508995,0.00029975703,0.0003695721,0.00027341742,0.000060949464,0.00045031976,0.000058848727,0.0001634377],"category_scores_gemma":[0.00006248996,0.000118019285,0.00006982139,0.0019528399,0.0005948844,0.00009041293,0.000030698255,0.00011841264,0.000044529337],"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":[0.00017670443,0.000059937054,0.9699447,0.0000131373345,0.0000136948465,0.0000042488346,0.000796704,0.00078661495,0.0012782944,0.00012154972,0.00003794752,0.026766436],"study_design_scores_gemma":[0.00012331226,0.00005459369,0.5050928,0.0000047991507,0.000018816461,2.6593645e-7,0.000011053101,0.49386203,0.0005230781,0.00014591668,0.00007470067,0.00008865994],"about_ca_topic_score_codex":0.00257497,"about_ca_topic_score_gemma":0.0038213513,"teacher_disagreement_score":0.4930754,"about_ca_system_score_codex":0.000028453469,"about_ca_system_score_gemma":0.00009366282,"threshold_uncertainty_score":0.48126867},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92869663,0.000097485456,0.070095316,0.000242279,0.0004281452,0.00016981512,0.000006838713,0.0000070048386,0.00025647302],"genre_scores_gemma":[0.9910054,0.000031100437,0.00865066,0.000024359419,0.0002058555,3.107682e-7,0.00007287122,0.0000016799303,0.000007732181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990042,0.000025643702,0.00035048166,0.00007112569,0.00047346612,0.00007511523],"domain_scores_gemma":[0.99863285,0.000050944123,0.0002986299,0.000027932747,0.00095326913,0.0000363679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009765596,0.000065852226,0.00009449993,0.00018368656,0.00006948245,0.00013816688,0.000058239002,0.000049028575,0.000006710469],"category_scores_gemma":[0.00009519302,0.00004931935,0.000021768976,0.000064471344,0.000020120044,0.0005605509,0.0000052946134,0.00004990677,8.9261107e-7],"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":[0.000036311325,0.0000045861543,0.012401208,0.000010241224,0.0000159796,2.5398356e-7,0.0005919512,0.8716101,0.000023837372,0.00030973594,0.000010763003,0.11498502],"study_design_scores_gemma":[0.00067223795,0.00005990722,0.22078721,0.00010021815,0.000025785233,0.000050314735,0.00026115277,0.77750874,0.000012739738,0.0004681094,0.0000054360203,0.00004814054],"about_ca_topic_score_codex":0.000027885482,"about_ca_topic_score_gemma":0.00017747188,"teacher_disagreement_score":0.208386,"about_ca_system_score_codex":0.000035702567,"about_ca_system_score_gemma":0.000045454424,"threshold_uncertainty_score":0.20111847},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97140443,0.00085829454,0.00002451254,0.00042737438,0.00016244756,0.00015780081,0.000034540702,0.000039291815,0.026891302],"genre_scores_gemma":[0.99713767,0.0005943247,0.0004134536,0.0001596982,0.00019855461,4.8511737e-7,0.00015019006,0.0000034857783,0.0013421306],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993732,0.000044581484,0.00015339363,0.00014925018,0.0001032247,0.0001763591],"domain_scores_gemma":[0.99948436,0.00027357682,0.000051336123,0.00012715899,0.000022911992,0.00004068497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046650317,0.000072159484,0.000086195556,0.000012311456,0.00050630927,0.00016662081,0.00007439239,0.000035155423,0.00007039718],"category_scores_gemma":[0.00006284534,0.000045397268,0.000022058855,0.00005946903,0.00005746948,0.000077719174,0.000001965297,0.000051671617,0.000013962169],"study_design_candidate":"design_other","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":[0.00007922157,0.0000029621028,0.054463174,0.000031106323,0.000010733996,0.0000017484823,0.00041396852,0.00022917682,0.000044324584,0.0000513076,0.0015941017,0.94307816],"study_design_scores_gemma":[0.00038846434,0.000055068023,0.4270231,0.000099717625,0.00002655731,0.00002005135,0.00079736265,0.14935121,0.00005423052,0.00046068712,0.4215228,0.00020073504],"about_ca_topic_score_codex":0.0004421563,"about_ca_topic_score_gemma":0.00035054385,"teacher_disagreement_score":0.9428774,"about_ca_system_score_codex":0.0000017839478,"about_ca_system_score_gemma":0.0000147269175,"threshold_uncertainty_score":0.38941726},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17791638,0.0005743698,0.6744686,0.018445699,0.0026896878,0.0012579764,0.00033257448,0.00039711274,0.1239176],"genre_scores_gemma":[0.92442364,0.00009013924,0.07353365,0.0010951533,0.00044358772,3.5395635e-7,0.000055978337,0.000009947959,0.00034758466],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872327,0.00007852987,0.00016210174,0.00047555086,0.00030556158,0.00025496128],"domain_scores_gemma":[0.9990708,0.00012568574,0.00015165536,0.00013364927,0.00039542106,0.0001227542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004680071,0.00021951913,0.00019157483,0.00026113118,0.0004575324,0.0004560848,0.00011465246,0.00012042793,0.0000635355],"category_scores_gemma":[0.0001534799,0.00017060379,0.000051275354,0.00014288913,0.00023743864,0.0003896784,0.00001004607,0.00025322553,0.000010331353],"study_design_candidate":"design_other","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":[0.00047646766,0.000010259581,0.0004915505,0.000052541156,0.000016050188,0.000008603704,0.00026459913,0.0000016721192,0.0022860589,0.000054434327,0.00019309396,0.99614465],"study_design_scores_gemma":[0.0006393016,0.0005081489,0.016104963,0.00034837687,0.000025154242,0.000054774882,0.00013828202,0.9750596,0.0017957103,0.0021598216,0.0029074983,0.00025833942],"about_ca_topic_score_codex":0.00039482157,"about_ca_topic_score_gemma":0.0005278695,"teacher_disagreement_score":0.9958863,"about_ca_system_score_codex":0.0000059773893,"about_ca_system_score_gemma":0.000049631035,"threshold_uncertainty_score":0.6957021},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987705,0.00047664865,0.00009684643,0.00043667736,0.00006977283,0.00007034934,0.0000036001486,0.0000017608733,0.00007384804],"genre_scores_gemma":[0.9985602,0.00002762332,0.0013449874,0.000013505312,0.00005005429,3.5911583e-8,9.8158935e-8,0.0000019882646,0.0000015069048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949014,0.000026426931,0.00019312669,0.00006171638,0.00014526049,0.00008333789],"domain_scores_gemma":[0.9996525,0.00009213347,0.00012942404,0.00008456663,0.000022410493,0.000018960684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002746651,0.00006884982,0.00015010197,0.00013654439,0.00005342498,0.000008562547,0.00013867495,0.00003671885,0.0000014071987],"category_scores_gemma":[0.000049772214,0.000029044726,0.00003223009,0.0002204907,0.00017414961,0.000039623716,0.000014874028,0.00021246081,9.852632e-9],"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":[0.00034830187,0.0002709964,0.5539844,0.00038039804,0.00031133683,0.00006269693,0.059546396,0.011491783,0.019899204,0.00053973205,0.00009027717,0.35307446],"study_design_scores_gemma":[0.000613143,0.00093003584,0.9895573,0.00044571972,0.000054158845,0.00096691767,0.0015848301,0.0016193012,0.0015494303,0.0023103245,0.00028562354,0.00008317249],"about_ca_topic_score_codex":0.000055574597,"about_ca_topic_score_gemma":0.00014138424,"teacher_disagreement_score":0.43557292,"about_ca_system_score_codex":0.0000012129082,"about_ca_system_score_gemma":0.000010919654,"threshold_uncertainty_score":0.118440956},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8195764,0.0002836422,0.14420816,0.0067617036,0.0011595197,0.0018333818,0.00020889842,0.00027243487,0.025695847],"genre_scores_gemma":[0.99543434,0.000014734454,0.0011342512,0.0008953593,0.00031680558,3.267356e-7,0.00014324574,0.000013690955,0.0020472326],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819696,0.00011966846,0.00025879708,0.0005017344,0.00024843393,0.00067442824],"domain_scores_gemma":[0.99871486,0.0005344423,0.00013639586,0.00034955877,0.00006332189,0.00020142761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002951374,0.0002912536,0.00028118805,0.00027044344,0.00085900817,0.00008329912,0.00072059006,0.00026538232,0.000064448235],"category_scores_gemma":[0.000034983288,0.00022077217,0.00019431036,0.00054103095,0.0001486708,0.00019121407,0.000038319977,0.0007315377,0.000023873163],"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":[0.0016288264,0.00010207683,0.55392295,0.00013694461,0.00064971263,0.00006995024,0.0053414986,0.16974734,0.0008630319,0.0007849514,0.05607966,0.21067306],"study_design_scores_gemma":[0.0046436996,0.00030886923,0.1742506,0.00008009832,0.00039698672,0.000102866725,0.009542678,0.60168034,0.00037458932,0.0010198053,0.205994,0.0016054831],"about_ca_topic_score_codex":0.004273626,"about_ca_topic_score_gemma":0.0052729025,"teacher_disagreement_score":0.431933,"about_ca_system_score_codex":0.000038684633,"about_ca_system_score_gemma":0.00009025532,"threshold_uncertainty_score":0.9002828},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9438554,0.0031295756,0.0031946881,0.025493758,0.0010653443,0.0019291396,0.00651276,0.00040279617,0.014416512],"genre_scores_gemma":[0.977855,0.00017969993,0.0030926454,0.00029294036,0.00022391492,0.000007927681,0.01785065,0.000006606844,0.0004905744],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984648,0.000054961118,0.00043244023,0.00041227115,0.00026921582,0.00036630634],"domain_scores_gemma":[0.9978056,0.000083574225,0.00022513935,0.0017323872,0.000118118696,0.000035188164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084488303,0.00018795491,0.00020804079,0.00017348965,0.00027769685,0.00013199811,0.0013307194,0.00017008476,0.00011197554],"category_scores_gemma":[0.00026919818,0.000106740845,0.00004342834,0.0004406856,0.0002543353,0.0007455826,0.000110328714,0.00021435246,0.000027154452],"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":[0.00037722054,0.00027853335,0.6003358,0.00014082003,0.0001168456,0.00002105575,0.0002841342,0.005047487,0.00013136675,0.012968653,0.2734159,0.106882215],"study_design_scores_gemma":[0.0007441713,0.00006027751,0.20561881,0.00006685453,0.000041187468,0.000015005481,0.00012312602,0.02647565,0.00010662769,0.0003654,0.7661705,0.00021236532],"about_ca_topic_score_codex":0.030794887,"about_ca_topic_score_gemma":0.024887128,"teacher_disagreement_score":0.4927546,"about_ca_system_score_codex":0.000018066768,"about_ca_system_score_gemma":0.000056528446,"threshold_uncertainty_score":0.99290615},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7075897,0.0006289187,0.28740633,0.0001253794,0.002791923,0.00015328669,0.000008846956,0.00025490695,0.001040713],"genre_scores_gemma":[0.71926886,0.000040236468,0.27442715,0.00025416887,0.005873684,1.6747352e-10,0.00005638094,0.000029616494,0.00004991185],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963632,0.00055042753,0.0005768331,0.00086970645,0.00053290586,0.001106896],"domain_scores_gemma":[0.998137,0.0004947307,0.00031306507,0.0005495971,0.00026057093,0.00024503062],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009068601,0.00046708557,0.00052271597,0.00021215263,0.0015135757,0.00036685923,0.00014490969,0.00037668686,0.000054360895],"category_scores_gemma":[0.00043101443,0.0004393014,0.0001722734,0.00062049116,0.00027707327,0.00031517146,0.0000523659,0.0006189649,0.000085104635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018494707,0.0000019643073,0.0004346526,0.000013833144,0.000058306483,0.00010820275,0.00031433572,0.016715022,0.021392869,7.1740186e-7,0.00021242727,0.9605627],"study_design_scores_gemma":[0.00042205682,0.000075851014,0.022310417,0.0005909535,0.00011857566,0.00033096285,0.00013171489,0.964565,0.008322701,0.001845037,0.0007055796,0.000581148],"about_ca_topic_score_codex":0.13879023,"about_ca_topic_score_gemma":0.013580435,"teacher_disagreement_score":0.95998156,"about_ca_system_score_codex":0.00008317391,"about_ca_system_score_gemma":0.00010806442,"threshold_uncertainty_score":0.99980587},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99250394,0.00013901424,0.0066342163,0.00013025537,0.0004339958,0.000022198808,0.000005399627,0.000002764221,0.00012823365],"genre_scores_gemma":[0.9917934,0.000093443174,0.0079462705,0.000010173745,0.00013956893,3.2563296e-8,0.0000074203017,0.0000015537927,0.00000812072],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943197,0.000019232239,0.0002899093,0.00004570301,0.00016868598,0.00004452681],"domain_scores_gemma":[0.9995089,0.00008122657,0.0001667623,0.000023347946,0.00016886547,0.00005085609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026952845,0.00004860928,0.00014171,0.000075617856,0.000010546034,0.000041841962,0.000040550716,0.000030322519,0.00005410838],"category_scores_gemma":[0.00017771182,0.000035299905,0.000017431263,0.000030921015,0.00001496088,0.00018063483,0.000007039929,0.0000314839,2.2246262e-7],"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":[0.0022685432,0.00018392986,0.008994378,0.00032728483,0.0010459956,0.00024726512,0.007484495,0.15656632,0.6094624,0.008336978,0.00013578885,0.20494664],"study_design_scores_gemma":[0.0051887925,0.0028008563,0.24415521,0.0008759845,0.00024248495,0.0021789083,0.0011979456,0.4908516,0.24727255,0.0011601954,0.0035033957,0.0005720665],"about_ca_topic_score_codex":0.000070883885,"about_ca_topic_score_gemma":0.0000055976307,"teacher_disagreement_score":0.36218983,"about_ca_system_score_codex":0.000002063155,"about_ca_system_score_gemma":0.000022122242,"threshold_uncertainty_score":0.14394882},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34776667,0.0003916664,0.008442676,0.00068070926,0.0015388009,0.0009791659,0.00007738864,0.00013260063,0.6399903],"genre_scores_gemma":[0.9217525,0.0004016133,0.015201494,0.00050030794,0.00054931635,1.1170301e-8,0.0006338437,0.0000309669,0.060929913],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988905,0.000072623734,0.00033420362,0.00031029462,0.00020953023,0.00018285471],"domain_scores_gemma":[0.9994735,0.00012838044,0.0001630729,0.00016869545,0.000035853947,0.000030506037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033346785,0.00020593645,0.00028044012,0.00019266769,0.00007582961,0.0000656092,0.00008390596,0.00025625646,0.00015503407],"category_scores_gemma":[0.000021907073,0.00012504336,0.00009678754,0.00008407387,0.000065137785,0.00006495464,0.0000074611708,0.0003902918,0.00008619423],"study_design_candidate":"design_other","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":[0.0005594512,0.00008283572,0.0021234679,0.0009941855,0.0005159966,0.0022118583,0.009783858,0.0078591695,0.017642474,0.0042772344,0.000046372166,0.9539031],"study_design_scores_gemma":[0.00027960908,0.00020012514,0.04471411,0.000595911,0.00013413628,0.00019503967,0.000099479184,0.9372178,0.00039011808,0.012220621,0.0034929838,0.00046010767],"about_ca_topic_score_codex":0.0009830794,"about_ca_topic_score_gemma":0.0038207627,"teacher_disagreement_score":0.953443,"about_ca_system_score_codex":0.000014287843,"about_ca_system_score_gemma":0.00004417062,"threshold_uncertainty_score":0.509912},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984979,0.000042354128,0.000022329361,0.0006380755,0.00004203314,0.00027861464,0.0000044937606,0.000004803978,0.00046937636],"genre_scores_gemma":[0.9936034,0.000011494378,0.005236007,0.0011097137,0.000017835104,3.833055e-7,0.000010650136,0.0000014403802,0.0000090532885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892837,0.00009886074,0.00025140392,0.00021047414,0.0002432131,0.00026770792],"domain_scores_gemma":[0.999459,0.00012932677,0.00015606667,0.00016204662,0.000042871045,0.000050631123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023723005,0.00011086825,0.00021267658,0.00001567905,0.0000871164,0.000017065413,0.0001785159,0.00008343088,0.000060307233],"category_scores_gemma":[0.000026241965,0.00005127367,0.000038064267,0.00043656546,0.00038989857,0.000029026625,0.000014221327,0.0002491208,3.2998562e-7],"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":[0.000054210257,0.000040581937,0.92107743,0.000011042933,0.000020931042,0.0000045047927,0.007027518,0.0011688577,0.00004517538,8.915669e-7,0.00010066446,0.070448205],"study_design_scores_gemma":[0.00017459995,0.00047067224,0.9939163,0.00002498305,0.000010534,0.000011527101,0.0016741744,0.00078151596,0.000046971985,0.00006183145,0.0027527518,0.00007419079],"about_ca_topic_score_codex":0.96694165,"about_ca_topic_score_gemma":0.9794755,"teacher_disagreement_score":0.07283883,"about_ca_system_score_codex":0.0000143373,"about_ca_system_score_gemma":0.000121661906,"threshold_uncertainty_score":0.20908795},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961083,0.0006427253,0.0010530559,0.00091239193,0.0010182634,0.000040082872,0.0000056630956,0.0000073212827,0.00021218008],"genre_scores_gemma":[0.994219,0.00020797209,0.0049972376,0.00023128421,0.00030937034,8.163509e-9,0.00000250947,0.0000030418116,0.000029585122],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992791,0.00004409484,0.00020384644,0.00009882776,0.00026118208,0.000112994436],"domain_scores_gemma":[0.9992557,0.000273452,0.00010429431,0.00005570089,0.00025282233,0.00005803613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020561002,0.00008935911,0.00015759563,0.00019026618,0.000043396183,0.000031525426,0.00021522133,0.00022110894,0.000015767164],"category_scores_gemma":[0.00014736802,0.00006155799,0.000046524216,0.00012358202,0.000089440815,0.00009495775,0.000009031291,0.00044061078,0.0000037977852],"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":[0.008394313,0.00054690323,0.21762766,0.00021718406,0.002393109,0.002651299,0.0015135831,0.024501417,0.17902201,0.0079259295,0.004203745,0.55100286],"study_design_scores_gemma":[0.006472549,0.00974081,0.4311028,0.0021253882,0.00035679172,0.004532295,0.00027530082,0.32471734,0.17192133,0.040542867,0.0070671095,0.001145411],"about_ca_topic_score_codex":0.000029646139,"about_ca_topic_score_gemma":0.000045143912,"teacher_disagreement_score":0.54985744,"about_ca_system_score_codex":0.000007045364,"about_ca_system_score_gemma":0.000038051414,"threshold_uncertainty_score":0.25102618},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606652,0.000112001726,0.000026521415,0.0020517071,0.00019774413,0.00003941382,0.000001963656,0.000024362434,0.036881085],"genre_scores_gemma":[0.9966273,0.00005519842,0.000955384,0.00008444417,0.000038959603,9.185614e-8,0.000008466971,0.000002066332,0.0022281292],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994601,0.00002113604,0.00012812324,0.000119086835,0.00014307456,0.00012848039],"domain_scores_gemma":[0.9996436,0.00008855076,0.00007582694,0.0001301315,0.000026412577,0.00003545422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020488114,0.00007208644,0.00006415104,0.00006731899,0.00018929326,0.000044483313,0.00017579878,0.000044074488,0.00016906382],"category_scores_gemma":[0.000044357,0.000037611473,0.00001599098,0.00016226586,0.0000721364,0.000056627778,0.000011094259,0.00010285607,0.000018328481],"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":[0.00004194961,0.000008124112,0.13832311,0.00000206833,0.000031886393,0.0000037776476,0.0010925448,0.000057981815,0.000073367686,0.0033630547,0.0009832922,0.85601884],"study_design_scores_gemma":[0.00017098844,0.000098520184,0.94313335,0.000025253838,0.0000058897745,0.000009413434,0.0006503824,0.0018955541,0.003541034,0.00131733,0.04906478,0.000087477514],"about_ca_topic_score_codex":0.0005596837,"about_ca_topic_score_gemma":0.0022426827,"teacher_disagreement_score":0.85593134,"about_ca_system_score_codex":0.0000018269635,"about_ca_system_score_gemma":0.000048503996,"threshold_uncertainty_score":0.18511301},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6507534,0.0018850642,0.31729135,0.0046141054,0.0006998919,0.00032607393,0.00018141275,0.0002470704,0.024001671],"genre_scores_gemma":[0.834786,0.0048917094,0.14151259,0.00008825596,0.00020890015,0.000004158747,0.0010843526,0.00004200348,0.017382044],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98671514,0.010009042,0.0006980901,0.0010577042,0.0005359421,0.0009840856],"domain_scores_gemma":[0.99445015,0.0012815703,0.0006364251,0.0016769622,0.0014597594,0.00049514073],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.009330605,0.00054606504,0.00054696354,0.00023084604,0.0013581518,0.00087841,0.0009290377,0.00058980996,0.0007732506],"category_scores_gemma":[0.0016185581,0.00056935084,0.00033338187,0.00065488176,0.0009275395,0.0003808792,0.00030188772,0.0008634983,0.00023298356],"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":[0.00014318748,0.0007728564,0.3692281,0.0008141047,0.00032840695,0.00006405168,0.018337036,0.008524008,0.012149213,0.0016404375,0.010213884,0.5777847],"study_design_scores_gemma":[0.0006166773,0.000003813241,0.6810492,0.0027278513,0.00017483652,0.00014290445,0.00013261421,0.22992516,0.04382764,0.0051126876,0.03554949,0.0007371023],"about_ca_topic_score_codex":0.0841607,"about_ca_topic_score_gemma":0.050512627,"teacher_disagreement_score":0.57704765,"about_ca_system_score_codex":0.00015759633,"about_ca_system_score_gemma":0.0005162679,"threshold_uncertainty_score":0.99994195},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90115565,0.02192726,0.000008161469,0.00076854246,0.00038765025,0.00023480286,0.0000042292772,0.000033447115,0.07548027],"genre_scores_gemma":[0.9941617,0.00059016485,0.0003029267,0.00018958881,0.0001182807,2.2052856e-7,0.000022946604,0.0000042929237,0.0046098717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932,0.00004382737,0.00011920972,0.00020934148,0.000105103034,0.00020253695],"domain_scores_gemma":[0.99974656,0.000025838173,0.00005375455,0.00010224268,0.000009879162,0.000061713734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016253398,0.00010656758,0.00011974945,0.000031355805,0.00018531483,0.000056239816,0.00007604319,0.000062409665,0.00002393638],"category_scores_gemma":[0.000017767594,0.00006434073,0.000020361753,0.00006177134,0.000049047467,0.00011819697,0.000009998694,0.00017456304,0.000017045906],"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":[0.000040117124,0.000010540605,0.50582063,0.00012969643,0.000027553466,0.00014285784,0.008941393,0.0000125679035,0.0000765728,0.00036633882,0.0066156285,0.4778161],"study_design_scores_gemma":[0.000267745,0.000037515532,0.5605565,0.000077881596,0.0000062231684,0.00004074196,0.0005544519,0.00094755297,0.0000058618534,0.00005851691,0.43730044,0.00014658773],"about_ca_topic_score_codex":0.00064988097,"about_ca_topic_score_gemma":0.005521724,"teacher_disagreement_score":0.4776695,"about_ca_system_score_codex":0.00001337761,"about_ca_system_score_gemma":0.0000623438,"threshold_uncertainty_score":0.30812517},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991083,0.0002251236,0.00040336413,0.00031345565,0.00013052944,0.00005364527,0.0001699778,0.000019586016,0.007601321],"genre_scores_gemma":[0.98805827,0.00025025263,0.00976392,0.00010802804,0.00011367019,1.5602854e-8,0.0015667918,0.0000010789754,0.0001380013],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99932665,0.00002200831,0.00021637917,0.00014257676,0.00015326876,0.00013910273],"domain_scores_gemma":[0.99959826,0.00005804224,0.000061279905,0.00022860689,0.0000118860235,0.00004191924],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022120787,0.00006238691,0.00008883716,0.00006265211,0.000027755015,0.000021952861,0.00012509344,0.000042313877,0.0009826854],"category_scores_gemma":[0.000015949005,0.00004708433,0.0000127094545,0.00008903135,0.000016848871,0.00047489852,0.00001200621,0.000071024035,0.00009396296],"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":[0.000064308544,0.00001702842,0.19700406,0.000003893173,0.0000078193525,0.0000020768518,0.00015988537,0.0072457027,0.00016880909,0.000022073962,0.00056104927,0.7947433],"study_design_scores_gemma":[0.00023429135,0.000024253604,0.85216624,0.000014724477,0.0000055102537,0.0000025886538,0.00007390926,0.08984961,0.00045246547,0.000043839915,0.057064507,0.00006805622],"about_ca_topic_score_codex":0.03371888,"about_ca_topic_score_gemma":0.032844212,"teacher_disagreement_score":0.79467523,"about_ca_system_score_codex":0.000003208957,"about_ca_system_score_gemma":0.000016524136,"threshold_uncertainty_score":0.99993056},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8982539,0.00082817656,0.000010214136,0.0001151801,0.000104199295,0.00004399109,0.000006580807,0.000020775804,0.10061699],"genre_scores_gemma":[0.99748856,0.00006761553,0.0019456826,0.0001177313,0.000117836535,5.435146e-8,0.000009856558,0.0000024686838,0.0002502153],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938214,0.000061753206,0.00016004825,0.000114370254,0.00012894704,0.00015272088],"domain_scores_gemma":[0.9995634,0.00022472517,0.000051398758,0.00011490302,0.000015190143,0.000030384355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033462275,0.00007374137,0.00011706506,0.0000155679,0.00021207806,0.000049828683,0.00008170994,0.000027637347,0.00043005665],"category_scores_gemma":[0.000056022054,0.0000438268,0.00002027823,0.000089591005,0.00008693194,0.00007225134,0.0000049308173,0.00007093858,0.000014942521],"study_design_candidate":"design_other","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":[0.000022741924,0.0000037108684,0.15310232,0.00005204226,0.00001674315,0.0000057625757,0.0015593232,0.02562056,0.000026983333,0.000018663979,0.00019850253,0.81937265],"study_design_scores_gemma":[0.00039614883,0.00007930049,0.33003834,0.00034222408,0.00003648442,0.00008535875,0.0014954587,0.6527007,0.00023773873,0.00032556406,0.013996882,0.00026575496],"about_ca_topic_score_codex":0.0032860239,"about_ca_topic_score_gemma":0.00049480004,"teacher_disagreement_score":0.8191069,"about_ca_system_score_codex":5.592458e-7,"about_ca_system_score_gemma":0.00001049418,"threshold_uncertainty_score":0.4967507},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991434,0.000043002405,0.000055345266,0.00021184982,0.000043548323,0.000108033426,0.000018738654,0.0000032292571,0.00037285846],"genre_scores_gemma":[0.999657,0.000012967422,0.000217753,0.00001644858,0.000009407718,5.2726676e-8,0.000048096343,9.0480887e-7,0.00003737856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951345,0.000033428605,0.00017564722,0.0001048807,0.00011938852,0.000053183554],"domain_scores_gemma":[0.99958634,0.0000688683,0.00015174251,0.00012182515,0.00004825852,0.000022953627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024028732,0.000044895307,0.00010423146,0.00010761185,0.00003554442,0.000018728737,0.00005157789,0.000027459157,0.000011049753],"category_scores_gemma":[0.000041762687,0.000028739172,0.000019146604,0.00046904615,0.00004150497,0.00007408307,0.0000059754907,0.00003475282,0.0000016749924],"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":[0.00001650109,0.0000061324495,0.9847793,0.000013873813,0.000051802534,4.0357122e-8,0.00046451975,0.0021572025,0.00056416536,0.000028438684,0.0000056736885,0.011912347],"study_design_scores_gemma":[0.00007261928,0.000027670812,0.9941699,0.000008065679,0.0000460942,6.7570187e-7,0.000075088916,0.002734779,0.0026594903,0.00013132488,0.000038022426,0.00003630134],"about_ca_topic_score_codex":0.004363092,"about_ca_topic_score_gemma":0.003429689,"teacher_disagreement_score":0.011876046,"about_ca_system_score_codex":5.661011e-7,"about_ca_system_score_gemma":0.000010173292,"threshold_uncertainty_score":0.6595719},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755419,0.000041447198,0.005717698,0.0007055618,0.0016724769,0.0007326511,0.00011152167,0.000014014515,0.015462757],"genre_scores_gemma":[0.99808645,0.00000446193,0.00079868553,0.00027573638,0.0002258325,4.2133405e-7,0.000040204468,0.0000024572616,0.0005657629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889517,0.00010496143,0.00042434633,0.000056004486,0.00039587732,0.00012362446],"domain_scores_gemma":[0.99863696,0.00024141713,0.00073605526,0.00008050498,0.00024679728,0.00005829329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011134178,0.00008338077,0.00020296441,0.00011585158,0.0001242429,0.00028660975,0.000092289774,0.00006886778,0.0000073144283],"category_scores_gemma":[0.00022274881,0.000047808066,0.00009360249,0.00013676228,0.000004037599,0.00044980223,0.000001971393,0.00011301178,0.0000376546],"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":[0.0005893279,0.000019405681,0.21962236,0.00008379579,0.00012527373,1.3484471e-7,0.0014559635,0.76325476,0.00015278772,0.00007147459,0.011954417,0.0026703267],"study_design_scores_gemma":[0.004131657,0.00027753616,0.18917185,0.00014211636,0.000077393735,0.000020659907,0.0011493748,0.7895029,0.00032415148,0.00013771618,0.014882728,0.00018191482],"about_ca_topic_score_codex":0.00016699334,"about_ca_topic_score_gemma":0.00003106239,"teacher_disagreement_score":0.030450504,"about_ca_system_score_codex":0.00005335752,"about_ca_system_score_gemma":0.000044777047,"threshold_uncertainty_score":0.27637845},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81035787,0.0077081146,0.018056523,0.00019308775,0.11489926,0.006531655,0.024996437,0.0014507901,0.01580625],"genre_scores_gemma":[0.47225922,0.002716172,0.23039788,0.0037251767,0.017250022,0.000060954295,0.03461736,0.0014316662,0.23754156],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99118346,0.00024197344,0.0017617245,0.0024632155,0.0011220025,0.003227596],"domain_scores_gemma":[0.99594307,0.0001852484,0.0008989379,0.0017043018,0.00036198986,0.00090646045],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0010243795,0.0017244904,0.002088688,0.00021371382,0.0012112695,0.0017302424,0.0011610751,0.0012173479,0.00026823283],"category_scores_gemma":[0.00032132515,0.0015266059,0.00095066975,0.00062082394,0.00018813382,0.0006917904,0.00020880024,0.0013676684,0.0005242243],"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":[0.0012612174,0.00040790217,0.10891997,0.0020941389,0.0007136551,0.00025227576,0.005248478,0.16460392,0.00027831778,0.000020047284,0.6731583,0.043041803],"study_design_scores_gemma":[0.0008908389,0.00050448545,0.00068899995,0.00078609405,0.00024475614,0.000060573846,0.00026853892,0.8957912,0.000046446825,0.000010352569,0.09862818,0.0020795506],"about_ca_topic_score_codex":0.0041157543,"about_ca_topic_score_gemma":0.0015743949,"teacher_disagreement_score":0.7311873,"about_ca_system_score_codex":0.00020624313,"about_ca_system_score_gemma":0.00083006185,"threshold_uncertainty_score":0.9995501},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99824417,0.00037815352,0.00005898707,0.00038479743,0.0000445939,0.00033627843,0.0000022345819,0.00004818675,0.0005026048],"genre_scores_gemma":[0.9967262,0.00034268273,0.00249923,0.00029252132,0.000021402915,2.9661396e-7,0.00006187937,0.0000034253949,0.000052323154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895936,0.00006529021,0.00022192941,0.00024610144,0.00023947078,0.00026782617],"domain_scores_gemma":[0.99927974,0.00023248096,0.00021528064,0.00014014693,0.00005412586,0.000078255915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020290568,0.00015166908,0.0002591953,0.000009533302,0.00019105597,0.000059444086,0.00010882439,0.000094222705,0.00017587171],"category_scores_gemma":[0.00002173797,0.0000684753,0.00008641561,0.00020799112,0.0008318003,0.00011858417,0.000015771748,0.00018344911,0.00002237996],"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":[0.00009634347,0.000030344476,0.93631715,0.000023789626,0.000047533576,8.8878454e-7,0.0014294853,0.0029307974,0.000044298005,0.0000032053852,0.000046095607,0.05903007],"study_design_scores_gemma":[0.00069707085,0.00064064877,0.98845494,0.00003929204,0.000029295094,0.000007534565,0.0021110103,0.005963754,0.00014190156,0.00007667607,0.0016905982,0.00014727173],"about_ca_topic_score_codex":0.004243902,"about_ca_topic_score_gemma":0.00004674636,"teacher_disagreement_score":0.0588828,"about_ca_system_score_codex":0.0000029104608,"about_ca_system_score_gemma":0.00001982812,"threshold_uncertainty_score":0.6415539},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98271394,0.0004253377,0.009385478,0.00009904806,0.0004245918,0.00019458894,0.000011678944,0.00007942786,0.0066659097],"genre_scores_gemma":[0.99817216,0.000042687232,0.0003269489,0.00003365378,0.0000714249,2.4776423e-7,0.00009033217,0.000003971612,0.0012585989],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991194,0.000046972873,0.00023896158,0.00028208748,0.000120343415,0.0001922071],"domain_scores_gemma":[0.9995496,0.00007289272,0.0000716694,0.00019284009,0.00003761207,0.000075337826],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029048842,0.0000940492,0.00012467065,0.000070725735,0.00016302483,0.0001306571,0.00008628169,0.000053977205,0.00032682312],"category_scores_gemma":[0.000014540295,0.00008288647,0.00003822255,0.00018827753,0.000035031713,0.000135814,0.000007993701,0.00008751358,0.0023790388],"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":[0.00010446497,0.000073775576,0.23643628,0.0006536681,0.00006379466,0.00005937144,0.0033874407,0.1621282,0.012261927,0.0036735688,0.00045310194,0.5807044],"study_design_scores_gemma":[0.000031344673,0.000072258685,0.00928221,0.00009632808,0.000011274657,0.000078958205,0.0021093502,0.9771299,0.008436728,0.000119697645,0.0024750258,0.00015693586],"about_ca_topic_score_codex":0.0004622181,"about_ca_topic_score_gemma":0.000048819635,"teacher_disagreement_score":0.81500167,"about_ca_system_score_codex":0.0000054795278,"about_ca_system_score_gemma":0.000010715193,"threshold_uncertainty_score":0.9983977},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9002593,0.0067929835,0.00039302345,0.00047677048,0.0023102337,0.0009921622,0.030502953,0.00005831619,0.05821423],"genre_scores_gemma":[0.78796846,0.03916756,0.04851031,0.0025954295,0.00095486984,3.187791e-7,0.09163918,0.000057477017,0.029106414],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986648,0.000033595083,0.000179911,0.00053304597,0.00036116148,0.00022748874],"domain_scores_gemma":[0.99877936,0.00033969074,0.000107504115,0.00044768845,0.00014937246,0.0001763769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026355634,0.00022070864,0.0003857156,0.000026660142,0.000113334725,0.00021321276,0.00009171551,0.00011930279,0.00007915699],"category_scores_gemma":[0.00007816056,0.00013291695,0.000012630402,0.000036959107,0.00005127724,0.00011990851,0.000021088572,0.0001758091,6.6222935e-7],"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":[0.00006767579,0.0000036250788,0.90775925,0.000052686264,0.00012621711,0.000092132774,0.000007476637,0.000020688238,1.7810872e-7,4.1955707e-7,0.059836775,0.03203285],"study_design_scores_gemma":[0.00019866327,0.00003846588,0.479182,0.000043342312,0.00008375469,0.00008443245,0.000017236292,0.0021010875,7.6589725e-7,0.000008503577,0.51806796,0.00017379048],"about_ca_topic_score_codex":0.97479105,"about_ca_topic_score_gemma":0.98661387,"teacher_disagreement_score":0.45823118,"about_ca_system_score_codex":0.0000127098765,"about_ca_system_score_gemma":0.0010958223,"threshold_uncertainty_score":0.5420196},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038724422,0.00043861885,0.0035915822,0.00027528068,0.0009429352,0.00025376404,0.0002691863,0.0002855186,0.9552187],"genre_scores_gemma":[0.80303895,0.002199819,0.012422888,0.0014900715,0.0012772728,5.8088256e-7,0.015766922,0.000047770605,0.16375573],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973708,0.00013826553,0.0004383532,0.0006326245,0.000942533,0.00047746635],"domain_scores_gemma":[0.9985177,0.00021850929,0.00017185428,0.00065361935,0.0001807371,0.00025757242],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00065606297,0.00039955627,0.00073377136,0.000947978,0.00019573008,0.00014848597,0.0002598833,0.0003970526,0.014406399],"category_scores_gemma":[0.00006786693,0.0002762855,0.00047753562,0.001448347,0.000036521513,0.0000479831,0.0000070669644,0.00043806212,0.00042549457],"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":[0.000028126795,0.00004583224,0.8707619,0.000054335153,0.00039281993,0.00014798938,0.000043260992,0.047831457,6.682173e-7,9.1130076e-8,0.0067674196,0.073926136],"study_design_scores_gemma":[0.00027139255,0.000043966676,0.37746105,0.00004646907,0.000337178,0.0000094715015,0.0000675029,0.46542832,0.0000016169172,0.0000011385496,0.1560126,0.00031929405],"about_ca_topic_score_codex":0.019432642,"about_ca_topic_score_gemma":0.03987049,"teacher_disagreement_score":0.79146296,"about_ca_system_score_codex":0.00000945407,"about_ca_system_score_gemma":0.00036246225,"threshold_uncertainty_score":0.99996895},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67152876,0.0016075537,0.002100541,0.00007182393,0.00084173976,0.000119764365,0.000120381905,0.00005685728,0.3235526],"genre_scores_gemma":[0.9388553,0.005305666,0.039099965,0.0000922993,0.00077138806,1.9616646e-9,0.0010242407,0.000016236309,0.014834888],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860096,0.00004117711,0.00032160222,0.00033945832,0.0004857256,0.00021104838],"domain_scores_gemma":[0.99922,0.00012789028,0.00020920357,0.0002460246,0.00009650734,0.00010033712],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002165699,0.00021364214,0.00041796672,0.00010095634,0.000072529925,0.000067213565,0.000061106584,0.00024329512,0.0010845695],"category_scores_gemma":[0.00010731317,0.00015862826,0.00008159952,0.00010700472,0.000082046485,0.00007288476,0.0000073811316,0.0002161526,0.00008883972],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031779833,0.0000027389056,0.0012524211,0.000040186114,0.00004797462,0.00007788914,0.00008616211,0.00261042,0.000021107324,2.8676322e-7,0.0020126202,0.99381644],"study_design_scores_gemma":[0.0004340155,0.00016488589,0.09061637,0.00040505728,0.00021834375,0.00049346767,0.000076573044,0.8644056,0.00038172933,0.00088915904,0.041284334,0.00063051144],"about_ca_topic_score_codex":0.14664215,"about_ca_topic_score_gemma":0.002514903,"teacher_disagreement_score":0.9931859,"about_ca_system_score_codex":0.00000966524,"about_ca_system_score_gemma":0.00019768704,"threshold_uncertainty_score":0.9998286},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93720484,0.0014535578,0.00032257024,0.009353616,0.0017574995,0.0006177853,0.0061335023,0.000022900203,0.043133758],"genre_scores_gemma":[0.96459794,0.001111534,0.00411663,0.0019594864,0.0013770688,5.842467e-7,0.0027786728,0.000022697504,0.024035377],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976254,0.00006161206,0.00031361997,0.00025377717,0.0014874412,0.00025815712],"domain_scores_gemma":[0.9989699,0.00015036041,0.00023729197,0.00015993277,0.00033989747,0.00014262141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046718764,0.00019075502,0.00033654532,0.00007740729,0.00020772236,0.000023370429,0.00012404184,0.00007830419,0.0000723737],"category_scores_gemma":[0.00007437546,0.00011093435,0.000028617407,0.00011900486,0.00005553491,0.000041461026,0.000008359322,0.00014667123,1.4972336e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001791928,0.000002770385,0.006205007,0.000042312226,0.0000817906,0.000024494713,0.00008192021,0.08259724,0.00001297332,0.0000037823488,0.9096018,0.0013280014],"study_design_scores_gemma":[0.0002809601,0.00011035356,0.039854757,0.00011168197,0.00006736794,0.00037027398,0.00018190322,0.04051239,0.0005820009,0.00001683773,0.9174925,0.00041896585],"about_ca_topic_score_codex":0.99573517,"about_ca_topic_score_gemma":0.99990284,"teacher_disagreement_score":0.042084847,"about_ca_system_score_codex":0.0000697008,"about_ca_system_score_gemma":0.0134798335,"threshold_uncertainty_score":0.9921128},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13686992,0.00039430632,0.006747142,0.000110010595,0.0044388315,0.00035296823,0.000084807354,0.00017719532,0.85082483],"genre_scores_gemma":[0.936324,0.0028211994,0.005660475,0.00031310556,0.001593167,3.9142037e-8,0.027322367,0.000018622495,0.025947012],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987984,0.000032264357,0.00030367041,0.00013363361,0.0005455644,0.00018647146],"domain_scores_gemma":[0.99920106,0.000026054184,0.00021711022,0.00016073034,0.00032932678,0.00006570586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028175057,0.00015819722,0.00017039699,0.00021230087,0.00014178437,0.00016288008,0.00007740727,0.00024562894,0.0007989084],"category_scores_gemma":[0.00016061726,0.00011769941,0.00004952339,0.00026042372,0.000018825858,0.00060834724,0.0000051710167,0.00015833597,0.00023035244],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033232347,0.000010869972,0.2833571,0.00018925912,0.000042656953,0.000011894479,0.0002016096,0.016883254,0.000004926171,0.000022980981,0.012373499,0.6868687],"study_design_scores_gemma":[0.00011721903,0.00008093843,0.28609583,0.00013691111,0.00009667459,0.00017614587,0.00010570636,0.21674682,0.000007936448,0.00017605264,0.4958665,0.0003932491],"about_ca_topic_score_codex":0.032009915,"about_ca_topic_score_gemma":0.008327521,"teacher_disagreement_score":0.8248778,"about_ca_system_score_codex":0.000023328172,"about_ca_system_score_gemma":0.000364226,"threshold_uncertainty_score":0.97443604},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.545535,0.0011588834,0.000030071702,0.00035715508,0.00019432732,0.000625616,0.0009173463,0.000018099285,0.45116347],"genre_scores_gemma":[0.87371534,0.0023312524,0.094032794,0.00030607422,0.00018442662,6.075087e-7,0.023355583,0.000013793522,0.00606014],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9975425,0.00008937813,0.00065357913,0.00034582758,0.001212114,0.00015657445],"domain_scores_gemma":[0.9987269,0.00017972435,0.00021707684,0.0006428458,0.00019621039,0.000037213358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002263982,0.00014813182,0.00045936037,0.0004759052,0.00003497936,0.000028637854,0.0005406286,0.00006988143,0.0007836693],"category_scores_gemma":[0.00025270798,0.000080060796,0.000055759963,0.0012097941,0.000033883647,0.00007183724,0.00002121494,0.000113923525,0.000036856505],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006473659,0.00015003,0.022678658,0.0007136802,0.0014285631,0.00002974627,0.0065250103,0.0025656526,0.00003136157,0.0000026597097,0.0143018775,0.95150805],"study_design_scores_gemma":[0.00013492769,0.000029391835,0.81826216,0.00027414045,0.00046520066,0.000029270443,0.0004462504,0.005689465,0.0001412297,0.000046582623,0.17412439,0.00035697815],"about_ca_topic_score_codex":0.0029210246,"about_ca_topic_score_gemma":0.02050433,"teacher_disagreement_score":0.9511511,"about_ca_system_score_codex":0.000007332894,"about_ca_system_score_gemma":0.00092383113,"threshold_uncertainty_score":0.99736893},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3135635,0.00028114865,0.00019722196,0.0002395697,0.0008337048,0.00019725661,0.00013883194,0.000065539396,0.68448323],"genre_scores_gemma":[0.9891915,0.0014720975,0.000498213,0.000097530654,0.0004717718,6.6225304e-8,0.00073251396,0.0000057511297,0.007530563],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99836916,0.00013057205,0.00033176693,0.000317387,0.0006306704,0.0002204681],"domain_scores_gemma":[0.9986265,0.00042388483,0.00027984582,0.00032368905,0.00020604192,0.00014005805],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011308027,0.00018106042,0.0003683706,0.00020933237,0.00006231086,0.00004732392,0.00010191616,0.00023276152,0.0014959705],"category_scores_gemma":[0.00049661985,0.00012716,0.00009315263,0.00027913638,0.000026879,0.000076354045,0.000008599069,0.00019493152,0.00027944156],"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":[0.0000271039,0.000015599824,0.3708906,0.000076757475,0.00003884992,0.000041333857,0.000104091734,0.00028634162,0.000030458968,0.0000015026648,0.039484456,0.5890029],"study_design_scores_gemma":[0.000055173605,0.000051164418,0.79095125,0.00007634348,0.00003099026,0.00008841805,0.0000849208,0.0026501177,0.000042200532,0.000012154483,0.20577388,0.00018339716],"about_ca_topic_score_codex":0.03557188,"about_ca_topic_score_gemma":0.030275537,"teacher_disagreement_score":0.67695266,"about_ca_system_score_codex":0.0000052950327,"about_ca_system_score_gemma":0.00038627154,"threshold_uncertainty_score":0.99941677},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15694691,0.0011579223,0.57609516,0.00020089658,0.0010355022,0.0017463902,0.00007138545,0.00014252125,0.26260328],"genre_scores_gemma":[0.7134475,0.0014305498,0.2787801,0.000040934316,0.000480715,8.4779266e-8,0.0017274029,0.00002200165,0.004070673],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986069,0.000034674616,0.00044573614,0.00031870147,0.00037845853,0.00021548498],"domain_scores_gemma":[0.99908364,0.00022779116,0.0002625932,0.00022451718,0.00015514383,0.000046325622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000733508,0.00015987823,0.00033659948,0.0002267801,0.00005404644,0.000027301374,0.000077498546,0.00023360089,0.000035884357],"category_scores_gemma":[0.00022390635,0.00012838027,0.00009444417,0.00021246541,0.000022185866,0.00006628145,0.0000039442957,0.00015302846,0.000010370834],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003100157,0.000003740418,0.0014568128,0.00007624504,0.0000070855785,0.0000032580153,0.000056792338,0.0068862806,0.000026397101,0.000001200565,0.00029144986,0.99115974],"study_design_scores_gemma":[0.00020514328,0.000062182626,0.014399048,0.00021200719,0.000029377505,0.00008046654,0.000054543765,0.96729934,0.00015785563,0.0009308415,0.01638401,0.00018521099],"about_ca_topic_score_codex":0.039234165,"about_ca_topic_score_gemma":0.012110909,"teacher_disagreement_score":0.99097455,"about_ca_system_score_codex":0.000025108357,"about_ca_system_score_gemma":0.00017793725,"threshold_uncertainty_score":0.9671637},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21605287,0.005402001,0.00051592477,0.00040289454,0.0019887513,0.00089537,0.011733422,0.00015139693,0.7628574],"genre_scores_gemma":[0.8310618,0.04438643,0.050706755,0.0001500288,0.00090191734,2.1002306e-7,0.055213246,0.00004967523,0.017529983],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99849606,0.000041374882,0.00036822073,0.00044515505,0.00036189338,0.00028728668],"domain_scores_gemma":[0.99883467,0.00034479707,0.000114297545,0.00050786586,0.00007876406,0.00011961885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008463644,0.0001993121,0.00049347174,0.00005994331,0.000070243455,0.00007541448,0.00023920856,0.00015801852,0.00020638866],"category_scores_gemma":[0.0000981323,0.00013627103,0.000055454588,0.000053312822,0.00016263334,0.000101790385,0.000029152752,0.00015147676,0.000010794807],"study_design_candidate":"design_other","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":[0.00022713296,0.000018732264,0.048789807,0.0003966329,0.00012763658,0.0000526618,0.000066731634,0.000020075548,0.000024615325,0.0000035110972,0.014744394,0.9355281],"study_design_scores_gemma":[0.0008958721,0.00034252933,0.20563497,0.00022490183,0.00009598475,0.00032518202,0.000108064945,0.008176297,0.00009438418,0.000077528675,0.7833267,0.0006976236],"about_ca_topic_score_codex":0.006135798,"about_ca_topic_score_gemma":0.0038983298,"teacher_disagreement_score":0.9348304,"about_ca_system_score_codex":0.0000016130625,"about_ca_system_score_gemma":0.00019877647,"threshold_uncertainty_score":0.9275532},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15024719,0.012138909,0.0001518506,0.00021582712,0.003698667,0.000472057,0.0078408895,0.00007602851,0.8251586],"genre_scores_gemma":[0.8640477,0.044864528,0.025250172,0.0003414897,0.001471869,1.3349147e-7,0.053877257,0.000022479226,0.010124341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747115,0.00013655936,0.00047816345,0.00072892546,0.00088959665,0.00029560647],"domain_scores_gemma":[0.99769914,0.0001969496,0.0003949818,0.0013640292,0.00022211399,0.00012278603],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005826485,0.00028818625,0.0005596211,0.000029660809,0.000059685128,0.00010247092,0.0004922992,0.0002339337,0.0022460439],"category_scores_gemma":[0.00036960616,0.00019438953,0.000061382416,0.00019332847,0.00006110984,0.00018055474,0.000045706398,0.00022791713,0.00011820023],"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":[0.000017595448,0.000028926364,0.8043385,0.00010481979,0.00019156998,0.00005387365,0.0000094412835,0.00015035569,0.0000070137557,0.0000011624774,0.030412752,0.16468395],"study_design_scores_gemma":[0.00015485095,0.000030827166,0.5940333,0.00007353304,0.00009481604,0.000030392313,0.000006457232,0.0010836822,0.000018056253,0.000036002642,0.4042195,0.00021860303],"about_ca_topic_score_codex":0.06393988,"about_ca_topic_score_gemma":0.012045309,"teacher_disagreement_score":0.8150343,"about_ca_system_score_codex":0.00001821821,"about_ca_system_score_gemma":0.0019434545,"threshold_uncertainty_score":0.99866605},"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":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86561966,0.000740758,0.017485341,0.00006769531,0.0021179486,0.0016196708,0.000055443703,0.00011287118,0.11218062],"genre_scores_gemma":[0.013040023,0.00063223374,0.9738931,0.00002219061,0.00029748352,2.1672335e-8,0.0006015171,0.000017156899,0.01149627],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978497,0.000042294712,0.000712399,0.0004936498,0.00054581725,0.00035614226],"domain_scores_gemma":[0.99875826,0.00021646066,0.0002926651,0.00030795467,0.00036183008,0.0000628316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012582485,0.00024544934,0.0004860114,0.00028552252,0.00008402143,0.00006780933,0.000102933765,0.00021240402,0.00005144225],"category_scores_gemma":[0.00069776765,0.00018197946,0.000074900025,0.00026499815,0.000028385657,0.0001277702,0.0000135114,0.00019559305,0.00001336877],"study_design_candidate":"design_other","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":[0.000046759786,0.0000056335007,0.001026186,0.00019533679,0.000015128543,0.000033587956,0.00019312515,0.00003935447,0.000095854564,3.6734313e-8,0.0015988266,0.9967502],"study_design_scores_gemma":[0.0005428265,0.000078145145,0.043551832,0.0016971666,0.000048256596,0.00025160902,0.00017402811,0.046676453,0.003941083,0.00006620727,0.9022237,0.0007486639],"about_ca_topic_score_codex":0.013767418,"about_ca_topic_score_gemma":0.033595815,"teacher_disagreement_score":0.9960015,"about_ca_system_score_codex":0.000024619987,"about_ca_system_score_gemma":0.00087945844,"threshold_uncertainty_score":0.9928},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8526741,0.00007272405,0.14425169,0.00024119603,0.00010330667,0.00039063167,0.0000743589,0.000021410258,0.0021705334],"genre_scores_gemma":[0.99716365,0.000060711594,0.0024097287,0.00009870875,0.000026353326,6.836425e-7,0.00019652763,0.0000038788935,0.000039729548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989653,0.00013178843,0.00021945337,0.00039390332,0.0001119069,0.00017762958],"domain_scores_gemma":[0.9994607,0.00018693454,0.00008479654,0.0001630042,0.00004320103,0.00006134787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024739798,0.00012121731,0.00018819155,0.00027103646,0.000083208484,0.000062989675,0.0000684277,0.00007677178,0.0002461255],"category_scores_gemma":[0.000059899354,0.000100079065,0.000038408165,0.0005562489,0.000017440409,0.00013985645,0.000009908926,0.00012552067,0.000028943543],"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":[0.00007226283,0.000019007315,0.088180915,0.000026239532,0.000013796888,0.0000014332808,0.0004688904,0.7675577,0.0002487781,0.000011819333,0.0000012590637,0.14339794],"study_design_scores_gemma":[0.000078282756,0.00008810943,0.03553386,0.000036205947,0.000038964004,0.000003598334,0.00029926887,0.9614454,0.0020230694,0.00027899392,0.000042552427,0.00013168392],"about_ca_topic_score_codex":0.0007546679,"about_ca_topic_score_gemma":0.0017812179,"teacher_disagreement_score":0.19388776,"about_ca_system_score_codex":0.000007677378,"about_ca_system_score_gemma":0.000010878099,"threshold_uncertainty_score":0.4081106},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977567,0.00083241164,0.000066409426,0.000103212755,0.00019918995,0.00043530762,0.00004585171,0.0000049253317,0.0005559953],"genre_scores_gemma":[0.9994631,0.00021912131,0.000118494514,0.000090975656,0.00005455901,0.0000014658954,0.000011173142,0.0000062866247,0.00003485793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985271,0.00021690766,0.00039793467,0.00013369924,0.00044925814,0.00027512026],"domain_scores_gemma":[0.99809194,0.0010078754,0.0005001277,0.00021578367,0.000098562006,0.00008570897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014230753,0.0001552478,0.00030152482,0.00014937033,0.00050333736,0.00018764353,0.0006361372,0.000038670732,0.0006662492],"category_scores_gemma":[0.00017173715,0.0000675773,0.00012282767,0.00045324478,0.000118746,0.00039284147,0.000050225335,0.00016758556,0.0000011247647],"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":[0.000071319424,0.00007083774,0.9883785,0.00004203659,0.00008359435,5.1180947e-8,0.0005200477,0.00044207953,0.0012348791,0.0000059462723,0.000465682,0.008685016],"study_design_scores_gemma":[0.00019594411,0.000013791205,0.9819192,0.00012415486,0.00007270258,6.760956e-7,0.0001520072,0.0078519415,0.008276129,0.00018790978,0.0011098059,0.00009569021],"about_ca_topic_score_codex":0.001967781,"about_ca_topic_score_gemma":0.0006954551,"teacher_disagreement_score":0.008589326,"about_ca_system_score_codex":0.0000067346223,"about_ca_system_score_gemma":0.00006379095,"threshold_uncertainty_score":0.7294961},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92995477,0.00035544301,0.003807443,0.000022019363,0.00044478162,0.00013962238,0.0000030731962,0.000022041271,0.06525084],"genre_scores_gemma":[0.89532393,0.00039599568,0.07045796,0.000023994213,0.000055321536,5.51197e-10,0.0020908008,0.000018510296,0.031633478],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990957,0.000047171718,0.000157495,0.0002401229,0.00026430888,0.00019523012],"domain_scores_gemma":[0.9991487,0.00011081191,0.00035468442,0.00022792915,0.00008725543,0.00007058377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012972447,0.00015726178,0.00037203712,0.00013251921,0.00011540684,0.00000937483,0.0001752154,0.0002518907,0.00018584172],"category_scores_gemma":[0.000034117864,0.00016640205,0.00016254645,0.00012706735,0.00005114844,0.00009711745,0.00000983348,0.00023110695,0.000035001245],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012089043,0.0000033916708,0.0027725087,0.00022173804,0.000040752162,0.0000413136,0.0016928887,0.000027963591,0.00002126948,0.0000014506227,0.00023618266,0.99481964],"study_design_scores_gemma":[0.000342205,0.00009906753,0.11123258,0.0005036261,0.00012559205,0.000010580784,0.000589504,0.8828954,0.00005504557,0.00016827958,0.003728372,0.00024975828],"about_ca_topic_score_codex":0.03608929,"about_ca_topic_score_gemma":0.004170818,"teacher_disagreement_score":0.9945699,"about_ca_system_score_codex":0.0000051433617,"about_ca_system_score_gemma":0.000081520244,"threshold_uncertainty_score":0.97032946},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98983926,0.00027320138,0.005970281,0.0004399627,0.003065771,0.00007033048,0.00006466788,0.000044107637,0.00023244352],"genre_scores_gemma":[0.98774725,0.00027964378,0.00917865,0.00015601054,0.0020948192,3.641753e-8,0.00053795933,0.000002660249,0.000002940756],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99835634,0.00029152533,0.0004951144,0.00014469842,0.0005822127,0.00013011406],"domain_scores_gemma":[0.99833107,0.00038118084,0.00061497645,0.00016253466,0.00042894672,0.00008130792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011462541,0.000101445854,0.00015830145,0.00034381726,0.0000734189,0.00011666424,0.00032087706,0.00012062471,0.0001297368],"category_scores_gemma":[0.00077365054,0.00008498095,0.000031105832,0.000098850716,0.00002585953,0.0014095474,0.000028259823,0.00021167904,0.000032714786],"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":[0.0006537103,0.000051972464,0.41334307,0.00001544518,0.00023992617,0.000047157217,0.00043957523,0.02014458,0.0008408098,0.00008937943,0.0060726115,0.5580618],"study_design_scores_gemma":[0.0006164406,0.000066405366,0.54645324,0.0000060735924,0.000071021175,0.00015750693,0.000012479496,0.450275,0.000017160814,0.0004979044,0.0017644343,0.00006232778],"about_ca_topic_score_codex":0.0025462834,"about_ca_topic_score_gemma":0.00018738657,"teacher_disagreement_score":0.55799943,"about_ca_system_score_codex":0.00002115332,"about_ca_system_score_gemma":0.00008700099,"threshold_uncertainty_score":0.38492358},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98590696,0.00002962621,0.002201459,0.000010311498,0.00022776923,0.00028096803,0.00007032794,0.00008027112,0.011192288],"genre_scores_gemma":[0.9991517,0.000013917773,0.00024185526,0.00011174973,0.000015338743,6.142644e-7,0.0004519659,0.000002086601,0.0000107735805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897873,0.000122498,0.0004166117,0.000078561075,0.0002477082,0.00015586683],"domain_scores_gemma":[0.99907696,0.00020549295,0.00031562446,0.00021160394,0.00012817181,0.000062164356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006526053,0.00012330286,0.00016179393,0.00041890595,0.0001222391,0.0002014044,0.0000755784,0.00009943212,0.00003323802],"category_scores_gemma":[0.000104752224,0.00009527919,0.0000468593,0.0002812683,0.000076874894,0.0025360547,0.000004148754,0.00008701815,0.000105532716],"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":[0.00027312324,0.000004570833,0.9287553,0.00050597184,0.000016189862,2.616815e-7,0.0014298059,0.005866736,0.000007793646,0.0021455868,0.00004606428,0.060948588],"study_design_scores_gemma":[0.00038584767,0.00014429023,0.8428922,0.00019815656,0.000012759015,0.000007390027,0.0007778713,0.15452205,0.000028235389,0.00017547957,0.00073988625,0.000115836956],"about_ca_topic_score_codex":0.0005808302,"about_ca_topic_score_gemma":0.000031946853,"teacher_disagreement_score":0.14865531,"about_ca_system_score_codex":0.0000115789,"about_ca_system_score_gemma":0.000030715502,"threshold_uncertainty_score":0.38853726},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92954624,0.003157425,0.0041008797,0.00024870443,0.00077384256,0.00022324674,0.000040945597,0.000037167778,0.06187156],"genre_scores_gemma":[0.99142843,0.0012536529,0.0066111097,0.0001655195,0.00018687145,3.4686917e-7,0.00006262377,0.000011770469,0.000279654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973851,0.00075061584,0.0007585868,0.00033069393,0.00049580634,0.00027919654],"domain_scores_gemma":[0.99733883,0.0009955246,0.00082888675,0.0004491111,0.00018667217,0.00020096828],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023401084,0.00022071571,0.0007367362,0.00046778814,0.00018188474,0.0005172775,0.0010983243,0.000096028554,0.0067044315],"category_scores_gemma":[0.00049352116,0.00016375876,0.00014609212,0.00053468737,0.00013462578,0.0008403933,0.00006518312,0.00032772057,0.000049675626],"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":[0.00016940561,0.00008088598,0.67654026,0.000039313043,0.000042843327,0.0000028390468,0.00009656661,0.00051191525,0.0287356,0.000012859616,0.015343018,0.27842453],"study_design_scores_gemma":[0.00029227417,0.000033677712,0.94685465,0.00015237993,0.00004333541,0.0000052983623,0.00005860495,0.016257301,0.024016496,0.00094930315,0.011122699,0.00021398548],"about_ca_topic_score_codex":0.0019744588,"about_ca_topic_score_gemma":0.00015147972,"teacher_disagreement_score":0.27821052,"about_ca_system_score_codex":0.000007925361,"about_ca_system_score_gemma":0.000046282414,"threshold_uncertainty_score":0.99420357},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96632206,0.0005840871,0.00089647406,0.021010507,0.00039044867,0.00016053364,0.000012762754,0.00004770932,0.010575437],"genre_scores_gemma":[0.9938819,0.000075925986,0.0042722747,0.0014733968,0.00013652357,1.0438347e-8,0.000057147357,0.0000020400973,0.00010079045],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989087,0.0001011627,0.0001767121,0.00021760547,0.00025791113,0.00033792664],"domain_scores_gemma":[0.9995879,0.000059081012,0.00005640968,0.00023616503,0.000024598343,0.000035878307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023398234,0.00012341717,0.00015830244,0.00005012011,0.00016248538,0.00004476047,0.00014189999,0.00008718612,0.000025447996],"category_scores_gemma":[0.00002699293,0.00007634778,0.000027541026,0.00026671073,0.00003407854,0.00006219383,0.0000035301205,0.00035691418,0.000006527659],"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":[0.00021485277,0.000066096916,0.13926773,0.000022713426,0.000052276922,0.0013077059,0.0019610561,0.012367285,0.0004965209,0.0018655751,0.018141529,0.82423663],"study_design_scores_gemma":[0.0004369851,0.00016337285,0.92465097,0.000046376477,0.00001333719,0.00011735024,0.00074024976,0.056207903,0.00009255612,0.0042307205,0.013115246,0.00018490864],"about_ca_topic_score_codex":0.72379196,"about_ca_topic_score_gemma":0.88928163,"teacher_disagreement_score":0.82405174,"about_ca_system_score_codex":0.000029529207,"about_ca_system_score_gemma":0.00013090592,"threshold_uncertainty_score":0.3113372},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99911994,0.000059125607,0.0001423506,0.00020760945,0.0001369043,0.00003776133,0.000027172531,0.000019993908,0.00024916648],"genre_scores_gemma":[0.9992969,0.00014358887,0.00045544814,0.000043423337,0.000042367465,5.308612e-8,0.0000047630333,0.0000010675564,0.000012385373],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993799,0.0000070973683,0.00009493451,0.0001805879,0.00019372978,0.00014376045],"domain_scores_gemma":[0.9997503,0.000014083398,0.000029901932,0.00005661271,0.00002668615,0.0001224066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017462128,0.00007902702,0.00012352422,0.00003136448,0.00017006633,0.00007899307,0.00007410318,0.00002296273,0.0003282355],"category_scores_gemma":[0.000042880158,0.00006457136,0.0000070783904,0.00008020976,0.00024760579,0.00030929773,0.00006564801,0.00003373556,0.000004762173],"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":[0.00017816402,0.000008798275,0.07973888,0.00018447962,0.000019822617,0.000013954162,0.0033128874,0.0030077514,0.9021857,0.0006590687,0.00012623509,0.010564303],"study_design_scores_gemma":[0.00015422532,0.00016507601,0.8778976,0.000023494753,0.000011517724,0.000017741306,0.0002532334,0.008818908,0.111425474,0.000053726784,0.0009888664,0.0001901426],"about_ca_topic_score_codex":0.00031531206,"about_ca_topic_score_gemma":0.0000096439935,"teacher_disagreement_score":0.7981587,"about_ca_system_score_codex":0.000001934294,"about_ca_system_score_gemma":0.000025959169,"threshold_uncertainty_score":0.35939485},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98147154,0.00016162325,7.224074e-7,0.0006393676,0.00009282184,0.000061101644,0.000105081366,0.000011258557,0.017456464],"genre_scores_gemma":[0.99924386,0.000013371178,0.00014650432,0.00022172449,0.000040093753,8.068539e-9,0.00014295969,0.000001933488,0.0001895392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992373,0.000049297432,0.00013849583,0.00016306431,0.00011267388,0.00029916127],"domain_scores_gemma":[0.99948215,0.00007318397,0.0000384856,0.00019144473,0.000012057421,0.00020269162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009963097,0.00010053938,0.00015625339,0.000057212834,0.000038032194,0.000022308352,0.00010909449,0.000071076975,0.000394723],"category_scores_gemma":[0.0000345719,0.00007278012,0.000060229206,0.00015430838,0.00001839508,0.000077492885,0.0000011511266,0.00010543831,0.0000856029],"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":[0.00004149744,0.000015975453,0.9508618,0.0000010307288,0.000010668353,0.000042797205,0.0003451314,0.017332224,0.000046025638,0.000003112526,0.0017157817,0.029583931],"study_design_scores_gemma":[0.0002178054,0.00021538389,0.9837876,0.00002480334,0.000003405041,0.0000015216318,0.000015161777,0.014562392,0.00005683469,0.0003073778,0.0007113262,0.000096405354],"about_ca_topic_score_codex":0.9700635,"about_ca_topic_score_gemma":0.9475252,"teacher_disagreement_score":0.03292576,"about_ca_system_score_codex":0.000015228462,"about_ca_system_score_gemma":0.00014293112,"threshold_uncertainty_score":0.432194},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9074185,0.000040997966,0.0894105,0.0011613726,0.000090862195,0.00042172268,0.00015669024,0.00008622318,0.001213149],"genre_scores_gemma":[0.91984034,0.0000018444888,0.079697385,0.00026378385,0.000104623316,2.957848e-7,0.000080227626,0.0000043078962,0.0000071768545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991983,0.00009479575,0.00018268985,0.00017915184,0.00019175139,0.0001533074],"domain_scores_gemma":[0.99959546,0.00012994217,0.00007748767,0.00006721811,0.000041069983,0.00008881064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024004486,0.00010879778,0.00020246017,0.00006054578,0.000057702506,0.000020686039,0.00008944935,0.000045738154,0.0003758739],"category_scores_gemma":[0.000015628819,0.00008365396,0.00008332623,0.00014655333,0.000018487704,0.000073258314,0.0000013720258,0.00006930784,0.0000014297539],"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":[0.001654598,0.00020135427,0.025489185,0.0007206176,0.0001158249,0.000006185262,0.0024478456,0.54938805,0.11739783,0.000021351663,0.0011052549,0.3014519],"study_design_scores_gemma":[0.0008673262,0.0015900721,0.050571356,0.000032745884,0.000038679147,0.0000016832623,0.0001303085,0.93069947,0.01588182,0.000020924705,0.00007257028,0.00009303028],"about_ca_topic_score_codex":0.00014250453,"about_ca_topic_score_gemma":0.00006842769,"teacher_disagreement_score":0.38131145,"about_ca_system_score_codex":0.000003140763,"about_ca_system_score_gemma":0.000032293658,"threshold_uncertainty_score":0.41155556},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8702277,0.000583929,0.10039649,0.0020634637,0.008188266,0.0028577687,0.00044847635,0.00038990623,0.014844022],"genre_scores_gemma":[0.9974706,0.00016433603,0.00074499374,0.0010567736,0.0001205494,0.0000016559247,0.00007515873,0.00003336564,0.00033256283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966721,0.00027590818,0.00062042807,0.00080359227,0.00089557143,0.0007324132],"domain_scores_gemma":[0.99779093,0.0003202401,0.00039224734,0.0010673853,0.00014767762,0.00028153072],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008848631,0.0004971954,0.00062256854,0.00023294905,0.0003576637,0.00014594475,0.00062759547,0.0003146128,0.0005224357],"category_scores_gemma":[0.00005988923,0.000347064,0.00027845037,0.0006381053,0.000008347174,0.0001607342,0.000118924574,0.0005813904,0.00012513243],"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":[0.0011810758,0.0012066903,0.0705319,0.0016060151,0.0007447164,0.00012449874,0.0012364915,0.75763434,0.09068174,0.025894275,0.0016720286,0.047486246],"study_design_scores_gemma":[0.0011478339,0.0010679307,0.0026201745,0.00023116068,0.000093230025,0.000037913807,0.00021739076,0.979116,0.008172541,0.002132162,0.0046193814,0.00054428173],"about_ca_topic_score_codex":0.0014500231,"about_ca_topic_score_gemma":0.0007410894,"teacher_disagreement_score":0.22148167,"about_ca_system_score_codex":0.000033354878,"about_ca_system_score_gemma":0.00024168433,"threshold_uncertainty_score":0.99989814},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64614743,0.000003343282,0.35262528,0.00014092839,0.000028362812,0.00018272866,0.00011306018,0.000038090602,0.00072080793],"genre_scores_gemma":[0.9914879,0.0000026204177,0.0055114264,0.00086369866,0.00015632072,2.108643e-7,0.0019700446,0.0000044668977,0.000003318803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985352,0.00027567826,0.00025267122,0.0003890045,0.0003249727,0.0002224321],"domain_scores_gemma":[0.9994108,0.000035823174,0.0000937616,0.00008314311,0.00012891805,0.00024751757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030412065,0.00015573678,0.00021476438,0.0001380231,0.00019333356,0.000093474955,0.000062322666,0.000054813365,0.0001053309],"category_scores_gemma":[0.000023748977,0.00013235943,0.000079113226,0.0007624842,0.000038464925,0.00030402528,0.0000056890417,0.000080849066,0.000034082143],"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":[0.00038870994,0.00013652911,0.015455433,0.00003718858,0.000247976,0.000026590284,0.018105876,0.7999242,0.0034626885,0.000009236586,0.000058508573,0.16214707],"study_design_scores_gemma":[0.00018427306,0.00018211988,0.17702767,0.000008326857,0.0002611931,0.000004861583,0.0026434057,0.81797796,0.0014775568,0.000008895882,0.000037304744,0.00018641487],"about_ca_topic_score_codex":0.0020426393,"about_ca_topic_score_gemma":0.00049670006,"teacher_disagreement_score":0.34711385,"about_ca_system_score_codex":0.000014085688,"about_ca_system_score_gemma":0.000024842106,"threshold_uncertainty_score":0.53974605},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63938636,0.0004890563,0.2626599,0.03410864,0.0012326164,0.00087029976,0.00007987194,0.00026854497,0.060904704],"genre_scores_gemma":[0.9966104,0.00011210159,0.0011076204,0.0020776975,0.00005998766,4.562749e-9,0.000008199166,0.0000017928505,0.000022214],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985349,0.000101356214,0.0004120027,0.00016853752,0.0005138104,0.00026935825],"domain_scores_gemma":[0.9991386,0.00011609367,0.00026850434,0.0001728151,0.00011268188,0.00019131944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006518185,0.00014233297,0.0002179121,0.000092597256,0.00048975326,0.00020157977,0.00026619507,0.00008493854,0.000033271146],"category_scores_gemma":[0.0003454602,0.00008421443,0.00009997578,0.0006553312,0.00041947063,0.0002446089,0.00004783048,0.00018420334,0.000012451805],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042714473,0.000002234923,0.0009389511,0.000016414957,0.000004963274,3.7371547e-7,0.00047456202,0.001131302,0.00018459535,0.0000010261662,0.0010504177,0.99615246],"study_design_scores_gemma":[0.00019625448,0.00019720549,0.020164976,0.00006766494,0.000009083036,0.000021139855,0.00040528376,0.9541331,0.0051655485,0.00022652591,0.019266754,0.00014646474],"about_ca_topic_score_codex":0.18290216,"about_ca_topic_score_gemma":0.011197441,"teacher_disagreement_score":0.99600595,"about_ca_system_score_codex":0.0000013531738,"about_ca_system_score_gemma":0.00005560516,"threshold_uncertainty_score":0.822539},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957171,0.0005010905,0.00015604308,0.0014863393,0.000015954796,0.00016273928,0.000009169334,0.000055369164,0.0018962027],"genre_scores_gemma":[0.93970495,0.0002920849,0.05946295,0.00045620688,0.00003162067,2.2902411e-7,0.000030142797,0.0000025906502,0.000019217803],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989428,0.00004729163,0.00025153338,0.0002708862,0.00023390868,0.00025359733],"domain_scores_gemma":[0.9992575,0.00012360074,0.00021676799,0.00012283167,0.000055864988,0.00022344037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001093278,0.00013983126,0.00031955822,0.000006034863,0.00009690852,0.000017828817,0.0001215262,0.00011034613,0.00015217745],"category_scores_gemma":[0.000035618552,0.0000817391,0.00012479824,0.00028690204,0.0008389441,0.00006758548,0.000018764415,0.00022542635,0.0000038163266],"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":[0.00015438283,0.00010810106,0.43065575,0.000094511066,0.00007478094,0.000021917203,0.0011654026,0.00072817033,0.00013784884,0.0000041586436,0.00031904737,0.56653595],"study_design_scores_gemma":[0.00043373313,0.0022073977,0.9739987,0.00007041968,0.00004398114,0.00003171886,0.0017390735,0.003040144,0.00014892826,0.00023262328,0.017834593,0.00021868247],"about_ca_topic_score_codex":0.00264202,"about_ca_topic_score_gemma":0.000037318707,"teacher_disagreement_score":0.56631726,"about_ca_system_score_codex":6.0666486e-7,"about_ca_system_score_gemma":0.000022235985,"threshold_uncertainty_score":0.39939612},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921698,0.000120831304,0.00010875661,0.0008640395,0.00041124586,0.00031088205,0.00007157136,0.00014355569,0.0057993466],"genre_scores_gemma":[0.78842705,0.000027329104,0.2105125,0.00006715347,0.0005848542,5.275402e-7,0.000054513603,0.00002692196,0.00029912873],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977911,2.8173456e-8,0.0006771025,0.00039813484,0.0006974154,0.00043620868],"domain_scores_gemma":[0.99808806,0.00018031077,0.0003402535,0.00005874918,0.001210412,0.00012219556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061796414,0.00031773545,0.00041308068,0.00010950852,0.00014217253,0.00011166159,0.00043295542,0.00019755469,0.00001720438],"category_scores_gemma":[0.00022708465,0.00023252756,0.0004962335,0.00035584232,0.00018680593,0.00030607037,0.000038452177,0.0003171321,0.000006943598],"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":[0.000829439,0.00015700501,0.0064755804,0.0019413219,0.0012625599,0.0000046219607,0.000426234,0.0094749695,0.6264525,0.29568756,0.01960943,0.037678763],"study_design_scores_gemma":[0.0013309604,0.00026600953,0.015401265,0.00082839275,0.0001779399,0.0001312547,0.00149902,0.92639476,0.0453421,0.00077579025,0.0072856713,0.00056682393],"about_ca_topic_score_codex":0.00086136354,"about_ca_topic_score_gemma":0.0000075634816,"teacher_disagreement_score":0.9169198,"about_ca_system_score_codex":0.000057374527,"about_ca_system_score_gemma":0.0000396807,"threshold_uncertainty_score":0.9482199},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22748013,0.000253937,0.004676872,0.0100171305,0.0001882068,0.000094316325,0.000022375285,0.00016200569,0.75710505],"genre_scores_gemma":[0.9946956,0.000033920274,0.0014700505,0.0023262661,0.00005717965,9.1559045e-9,0.00004851246,0.0000012552911,0.0013671863],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995191,0.000023387665,0.00007828689,0.00014601975,0.00009660533,0.00013657038],"domain_scores_gemma":[0.9997314,0.000029935964,0.000017907014,0.0000624631,0.000011858328,0.00014640627],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000057314963,0.000059787126,0.000081723345,0.000007485647,0.000063613144,0.000066709414,0.00009487375,0.000028706161,0.0045850747],"category_scores_gemma":[0.000026350428,0.0000413295,0.000018996692,0.000071844115,0.000019536801,0.00007776479,0.0000045951465,0.00007606322,0.00051102764],"study_design_candidate":"design_other","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":[0.00007726784,0.0000064246606,0.067493685,0.00001837201,0.000021490097,0.000043349744,0.0012162417,0.0006635152,0.0009942548,0.00014383267,0.18959972,0.73972183],"study_design_scores_gemma":[0.00054160657,0.00027376265,0.053001773,0.000023627466,0.000011487774,0.000019752855,0.000772775,0.6559266,0.001582717,0.00018221013,0.28722245,0.00044129122],"about_ca_topic_score_codex":0.001380892,"about_ca_topic_score_gemma":0.00034460364,"teacher_disagreement_score":0.7672155,"about_ca_system_score_codex":3.5451734e-7,"about_ca_system_score_gemma":0.000014596672,"threshold_uncertainty_score":0.9963249},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18193203,0.00029191998,0.81743103,0.000026822385,0.00023365836,0.000049586582,0.000008631785,0.0000123302425,0.000013978457],"genre_scores_gemma":[0.35098583,0.000006790992,0.6488717,0.000007249259,0.000069178845,8.961337e-8,0.00005186352,0.0000036512702,0.0000036331198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945426,0.000016191072,0.00016884695,0.000094940006,0.00013170278,0.00013404553],"domain_scores_gemma":[0.9996358,0.000053239706,0.00008582806,0.000040738014,0.00011996639,0.00006442577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001513877,0.000081793754,0.00011100375,0.00009250348,0.00010899699,0.00005620306,0.000026305033,0.00004567985,0.0000120854875],"category_scores_gemma":[0.0000518624,0.00007359777,0.000029680654,0.00010963069,0.000006469593,0.00011327818,0.0000021668072,0.00008355258,4.2811968e-7],"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":[0.000017840024,0.0000073190654,0.00064415863,0.000025774281,0.000020863956,0.000007708672,0.0003595152,0.5967299,0.000726132,0.0000010342668,0.000010880023,0.4014489],"study_design_scores_gemma":[0.00039232717,0.000040294537,0.021469047,0.000085578904,0.000018103168,0.00010055137,0.00007812162,0.97290623,0.004653161,0.00008793914,0.000077232726,0.00009143632],"about_ca_topic_score_codex":0.000011175978,"about_ca_topic_score_gemma":0.000013979939,"teacher_disagreement_score":0.40135747,"about_ca_system_score_codex":0.000010948109,"about_ca_system_score_gemma":0.0001308134,"threshold_uncertainty_score":0.30012298},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98368084,0.00031678085,0.00285963,0.0049559744,0.000073968025,0.0002073002,0.000104543964,0.00008052151,0.007720437],"genre_scores_gemma":[0.9948011,0.000017988845,0.00445937,0.00044153733,0.0001648586,5.022956e-8,0.00007653519,0.0000042716656,0.0000342546],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999191,0.000051448627,0.00012904049,0.00021518538,0.00025792644,0.0001554088],"domain_scores_gemma":[0.9996329,0.000070103364,0.00008585583,0.000057872512,0.000040482322,0.000112786016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016344007,0.00012025005,0.00014727868,0.00004733267,0.000093658084,0.00008558679,0.000059639828,0.000046938236,0.00060428295],"category_scores_gemma":[0.000027764272,0.00008939587,0.000040036066,0.00013923178,0.00005371111,0.00018180926,0.0000029938026,0.00014122555,0.0000148051395],"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":[0.0068100593,0.0002765485,0.14164063,0.001214303,0.00009056711,0.00037349065,0.0025877273,0.006536373,0.29376802,0.00000805853,0.025429877,0.5212644],"study_design_scores_gemma":[0.0018214731,0.0010783843,0.45532495,0.0001252708,0.00006574195,0.000018383305,0.00034150932,0.506211,0.03152249,0.000025453819,0.003135772,0.00032958048],"about_ca_topic_score_codex":0.00003016531,"about_ca_topic_score_gemma":0.000009272088,"teacher_disagreement_score":0.52093476,"about_ca_system_score_codex":0.0000015404704,"about_ca_system_score_gemma":0.0000293088,"threshold_uncertainty_score":0.66164744},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97573024,0.00047655846,0.0026153,0.0010013742,0.0029412962,0.0002217843,0.00008347759,0.000049344493,0.01688061],"genre_scores_gemma":[0.9940597,0.000039265004,0.0030872445,0.0009967798,0.00023917311,7.4208714e-7,0.00022429386,0.0000115531475,0.0013412916],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9970213,0.0006151991,0.00066305784,0.00062399823,0.0004367904,0.0006396132],"domain_scores_gemma":[0.9985574,0.00040693098,0.0002045245,0.0004389829,0.0001666868,0.00022549296],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007190995,0.00028748918,0.0005797087,0.0002651615,0.0002690346,0.0001798018,0.00027807456,0.00020526018,0.0031394828],"category_scores_gemma":[0.00038222867,0.0002568357,0.0001233511,0.0004950307,0.00024818798,0.00020893602,0.000037217684,0.0004962567,0.000109949535],"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":[0.0026540188,0.00028331153,0.40586016,0.00010067502,0.00024366214,0.0012093434,0.005092197,0.011252278,0.05008072,0.00016298548,0.022764074,0.5002966],"study_design_scores_gemma":[0.0012781791,0.00081590546,0.90833277,0.000055631823,0.000045933022,0.0006292819,0.0005031167,0.020737845,0.0068906597,0.0014364005,0.058806214,0.00046807795],"about_ca_topic_score_codex":0.023981024,"about_ca_topic_score_gemma":0.20411861,"teacher_disagreement_score":0.5024726,"about_ca_system_score_codex":0.000023064695,"about_ca_system_score_gemma":0.00067159487,"threshold_uncertainty_score":0.9999884},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938862,0.0005092482,0.00090000255,0.0027733704,0.00029810876,0.0009174051,0.0001361154,0.00034802328,0.0002315392],"genre_scores_gemma":[0.9909547,0.00006059683,0.0040197023,0.0033803012,0.00026200307,0.000019184563,0.0011381523,0.000014499327,0.00015085955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965905,0.00031270194,0.00057784945,0.0012999608,0.0001411498,0.0010778714],"domain_scores_gemma":[0.9984133,0.000074750664,0.000208955,0.00040238324,0.00003605496,0.0008645467],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004958286,0.00057719,0.00064692815,0.00035700863,0.0007722322,0.000056474724,0.00035268127,0.00064914767,0.000098799355],"category_scores_gemma":[0.000045706296,0.00039569667,0.00008027349,0.00042192216,0.00055100664,0.0003836986,0.00007106479,0.00041385303,0.00016337304],"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":[0.0011199327,0.00037936945,0.79897386,0.00006262294,0.00037892777,0.00004204588,0.0037330342,0.13675068,0.037408967,0.0010345563,0.0012219189,0.01889409],"study_design_scores_gemma":[0.0011057021,0.003927938,0.9849413,0.000017469763,0.00011598503,0.00050262606,0.0001791828,0.0016529437,0.00018075244,0.0003666836,0.0064182184,0.00059121917],"about_ca_topic_score_codex":0.008609384,"about_ca_topic_score_gemma":0.06905189,"teacher_disagreement_score":0.18596742,"about_ca_system_score_codex":0.00007620949,"about_ca_system_score_gemma":0.00007914984,"threshold_uncertainty_score":0.9998495},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9660883,0.0001750334,0.00009459431,0.00006812978,0.0005503969,0.00010470532,0.0000058480623,0.000074126314,0.032838892],"genre_scores_gemma":[0.9569677,0.000022789001,0.04231733,0.00010220379,0.00009782244,2.0693027e-9,0.000021795488,0.000008966163,0.00046139248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854606,0.000075298136,0.00039354296,0.00031295515,0.0002753713,0.00039677243],"domain_scores_gemma":[0.998987,0.00026963948,0.00024775,0.00029380622,0.000068393834,0.00013341288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055447523,0.00016801336,0.00026840038,0.00008514509,0.000111300964,0.000061723425,0.00013319566,0.00011185242,0.000018652529],"category_scores_gemma":[0.00015020148,0.00014165333,0.00008855677,0.00015688717,0.00004792811,0.00012030275,0.000011157056,0.00022357897,0.00035327493],"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":[0.000056324177,0.000020496358,0.55298465,0.00012143809,0.00003650215,0.00005787593,0.0007394525,0.050598525,0.012531263,2.589084e-7,0.00012103221,0.38273218],"study_design_scores_gemma":[0.00042666035,0.000066382294,0.73584545,0.0003855922,0.000021855762,0.000054755437,0.00025719247,0.25935674,0.0022372312,0.000035490844,0.0010640379,0.00024861153],"about_ca_topic_score_codex":0.08305929,"about_ca_topic_score_gemma":0.06754073,"teacher_disagreement_score":0.38248357,"about_ca_system_score_codex":0.000005735004,"about_ca_system_score_gemma":0.00005320048,"threshold_uncertainty_score":0.9494742},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941242,0.00008749842,0.00023761674,0.0011648847,0.0002482931,0.00030296625,0.000055425666,0.00005453168,0.00372458],"genre_scores_gemma":[0.99905854,0.000006399474,0.00021871143,0.00017298214,0.00022433655,3.865259e-7,0.000208579,0.0000050050894,0.00010506789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862206,0.00025850808,0.00037051644,0.000159625,0.00038775732,0.0002015584],"domain_scores_gemma":[0.9986754,0.0006216953,0.00018799338,0.00028082027,0.000110833615,0.00012326529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009943367,0.00014992386,0.00021302843,0.00014130918,0.00018583387,0.00010244792,0.00014267645,0.00009748933,0.000028899227],"category_scores_gemma":[0.0010499276,0.000096935946,0.000043313623,0.00035057106,0.0000729487,0.00034957452,0.000014118294,0.00021400447,0.00011136482],"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":[0.00009357554,0.000029846184,0.98846596,0.000008075065,0.000028430759,0.0000022536858,0.005584189,0.0010671942,0.000009308433,0.00031126157,0.0004707473,0.0039291624],"study_design_scores_gemma":[0.0011240704,0.0005203255,0.9893726,0.000023419068,0.000052838088,0.0000071485574,0.0044001867,0.0025574756,0.00009872124,0.001404691,0.0002876616,0.00015084892],"about_ca_topic_score_codex":0.0026945672,"about_ca_topic_score_gemma":0.0008629867,"teacher_disagreement_score":0.004934328,"about_ca_system_score_codex":0.000008392375,"about_ca_system_score_gemma":0.00007927509,"threshold_uncertainty_score":0.40733975},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99732083,0.0012172745,0.000001338193,0.00030114845,0.00003882493,0.00006244141,0.00001464957,0.000005990611,0.0010374754],"genre_scores_gemma":[0.9994096,0.000516595,0.0000034187287,0.0000032020723,0.000017131888,7.801958e-8,0.000021196669,8.1847674e-7,0.000027936483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988733,0.00021099328,0.00011442115,0.00010451413,0.00042134442,0.00027541438],"domain_scores_gemma":[0.99908715,0.0006026979,0.000014847939,0.000084900545,0.000083260704,0.00012713672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016250473,0.00004432628,0.0000747173,0.00009499197,0.0001570776,0.000052982185,0.00010063143,0.000048729926,0.000008579814],"category_scores_gemma":[0.0010253116,0.00002411549,0.00001849373,0.00051072304,0.00022614376,0.00006019783,0.000017508293,0.0002641495,0.0000036437523],"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":[0.000037907022,0.0000035833725,0.98522234,0.0000071369404,0.0000028188927,0.0000023204223,0.00035801227,0.00009759615,0.0000055094392,0.00024227626,0.0000553456,0.013965153],"study_design_scores_gemma":[0.00010555051,0.00009312188,0.9910997,0.000017529297,7.43406e-7,0.000001423836,0.00064741116,0.004203111,0.00004205218,0.0028860276,0.00087099674,0.00003232285],"about_ca_topic_score_codex":0.009503654,"about_ca_topic_score_gemma":0.005763719,"teacher_disagreement_score":0.01393283,"about_ca_system_score_codex":0.0000023408786,"about_ca_system_score_gemma":0.00005130079,"threshold_uncertainty_score":0.9970921},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8783211,0.000015592272,0.115101665,0.00010371497,0.00021944164,0.00008452667,0.00015669825,0.000044271263,0.0059529557],"genre_scores_gemma":[0.87810606,0.000018924355,0.121295705,0.00019377109,0.000045424345,1.2067358e-8,0.00027046763,0.0000013057265,0.00006831059],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992818,0.00003606548,0.0002646178,0.00008712518,0.00018305227,0.00014730755],"domain_scores_gemma":[0.99930644,0.0003224446,0.00009648173,0.00011737661,0.00007359721,0.000083656756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001122977,0.00007309201,0.000113227856,0.00006949778,0.00011024491,0.000020995747,0.00004427877,0.000040512354,0.00032630606],"category_scores_gemma":[0.00030568015,0.000057938756,0.000024638255,0.000096724274,0.0000251821,0.00032659946,0.0000044378226,0.000071208975,0.00031754424],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002937709,0.000023725835,0.15504894,0.00002689204,0.00002896826,0.00004505235,0.0042696083,0.0094725,0.0037469286,0.000007920988,0.015599312,0.81143636],"study_design_scores_gemma":[0.00024534212,0.000057292666,0.7041476,0.000016846509,0.000006938007,0.000026876894,0.00022953104,0.29123122,0.0018740391,0.00009380654,0.0019507832,0.00011976501],"about_ca_topic_score_codex":0.02327383,"about_ca_topic_score_gemma":0.0019581027,"teacher_disagreement_score":0.8113166,"about_ca_system_score_codex":0.000003078166,"about_ca_system_score_gemma":0.000032237516,"threshold_uncertainty_score":0.9832303},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981706,0.00047420282,0.00004909869,0.00010765437,0.00033440016,0.00007975587,0.000008240459,0.00006630283,0.017174305],"genre_scores_gemma":[0.9963453,0.00004281098,0.0022581404,0.000022766017,0.0004958462,1.985624e-7,0.00003352604,0.0000067170718,0.0007947322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989909,0.000032581127,0.00016337995,0.0002483457,0.00020502687,0.00035979028],"domain_scores_gemma":[0.99962354,0.00006662211,0.00004559018,0.00017651543,0.000019704215,0.000068054076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012499318,0.00014533242,0.00015685995,0.000069615955,0.00012962897,0.00009341616,0.00011578058,0.000060404644,0.000058098645],"category_scores_gemma":[0.000010556669,0.000104331266,0.00003129766,0.00020532322,0.00004579016,0.0001859428,0.0000062687704,0.00015480195,0.000077411816],"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":[0.000026847638,0.000010342461,0.9156371,0.000011226885,0.000003262988,0.00006997039,0.00008451403,0.026465664,0.000016911326,0.0000019976628,0.00023351061,0.057438683],"study_design_scores_gemma":[0.00031619333,0.00007254247,0.9673715,0.000104906685,0.000007235721,0.000022955563,0.000136352,0.030351032,0.00018682581,0.00007211246,0.0011826318,0.00017566551],"about_ca_topic_score_codex":0.024972862,"about_ca_topic_score_gemma":0.013650581,"teacher_disagreement_score":0.057263017,"about_ca_system_score_codex":0.000006000734,"about_ca_system_score_gemma":0.000025417725,"threshold_uncertainty_score":0.98151994},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99008316,0.000091263115,0.001608019,0.0022856095,0.0018887646,0.0010567184,0.0016021773,0.000010711094,0.0013735632],"genre_scores_gemma":[0.9959286,0.0000067145247,0.0019137865,0.000023766808,0.00008425583,0.000002397405,0.0016312244,0.0000052334517,0.0004040301],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971588,0.00012559629,0.0003622698,0.00055916654,0.0012649127,0.0005292218],"domain_scores_gemma":[0.99864084,0.0002072017,0.000087328386,0.00038792213,0.00054766366,0.00012906338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035254685,0.00011868577,0.00018182142,0.00045846598,0.0003788164,0.000091937414,0.00063092494,0.00006848963,0.000046265377],"category_scores_gemma":[0.0006868643,0.00010060535,0.000036909867,0.0008531235,0.00025604694,0.00046000918,0.000044131557,0.00020409389,0.00000300466],"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":[0.011795605,0.0013492759,0.31240562,0.0019704774,0.00046092313,0.00045714786,0.004727602,0.21966703,0.013087312,0.0026488777,0.060311586,0.37111855],"study_design_scores_gemma":[0.0024246154,0.00025154225,0.35609454,0.00009596709,0.000011838103,0.000013384776,0.0006799174,0.37258026,0.004437904,0.001978657,0.26099557,0.00043578495],"about_ca_topic_score_codex":0.89771396,"about_ca_topic_score_gemma":0.9998705,"teacher_disagreement_score":0.37068278,"about_ca_system_score_codex":0.00009340301,"about_ca_system_score_gemma":0.0029525775,"threshold_uncertainty_score":0.52377456},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99524504,0.00006551947,0.002558273,0.0007352754,0.000057522215,0.00007290178,0.000076769276,0.000028215345,0.0011605114],"genre_scores_gemma":[0.9936257,0.00002546369,0.0040665204,0.0018951318,0.00007080553,3.4765744e-8,0.00021104673,0.0000037937896,0.00010151213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904114,0.000079620775,0.00024397402,0.00028584307,0.00013894054,0.00021050789],"domain_scores_gemma":[0.9993513,0.00012862419,0.000087030094,0.00015862286,0.000037840302,0.0002365503],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013038989,0.00013824522,0.00038147956,0.00020240301,0.000101408026,0.00007145483,0.00008324863,0.0000889643,0.0015451226],"category_scores_gemma":[0.0000611332,0.00010367858,0.00007089455,0.0006312867,0.00004074855,0.00012073417,0.00001204168,0.00012848465,0.000027131658],"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":[0.00017471258,0.000008981252,0.940539,0.000023126418,0.00033620113,0.000051311417,0.0015768972,0.014584558,0.03411774,6.7872134e-7,0.00033353997,0.0082532745],"study_design_scores_gemma":[0.00019455807,0.000060767663,0.9203796,0.000008996705,0.00034324496,0.000020088928,0.00015532767,0.07434963,0.0021610225,0.0000049118257,0.0021267042,0.00019519203],"about_ca_topic_score_codex":0.005501006,"about_ca_topic_score_gemma":0.0014994432,"teacher_disagreement_score":0.05976507,"about_ca_system_score_codex":0.0000016934641,"about_ca_system_score_gemma":0.000025799683,"threshold_uncertainty_score":0.9993676},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985346,0.00041946696,0.00008370996,0.0003498003,0.00014400939,0.00023707029,0.0003241464,0.000025429115,0.013070368],"genre_scores_gemma":[0.9973971,0.00031157257,0.00018650338,0.000008522408,0.00015992981,7.330378e-7,0.0017166834,0.000004599714,0.00021435079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99654675,0.001111542,0.00031727148,0.00053835707,0.0011333236,0.00035278944],"domain_scores_gemma":[0.9979647,0.0006767137,0.000103436185,0.0007369839,0.00033565596,0.00018254106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015095032,0.00014496033,0.00044655503,0.00075864187,0.00013282987,0.0001750344,0.0002920377,0.00027341206,0.000700261],"category_scores_gemma":[0.00027463556,0.00010830756,0.00028020365,0.001038111,0.00007209176,0.000029810355,0.000060728864,0.0010627866,0.00007299236],"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":[0.00017012801,0.000100766876,0.8993436,0.000872869,0.00062276586,0.00009730637,0.0006314653,0.038450975,0.000027681463,0.000047218247,0.0003522807,0.059282947],"study_design_scores_gemma":[0.00009940715,0.00012264139,0.85283107,0.00033197072,0.00006431333,0.0000019361278,0.0002515389,0.14526768,0.000040897878,0.00014575053,0.00072757166,0.000115219445],"about_ca_topic_score_codex":0.004306175,"about_ca_topic_score_gemma":0.018988939,"teacher_disagreement_score":0.10681671,"about_ca_system_score_codex":0.000016053104,"about_ca_system_score_gemma":0.00027822476,"threshold_uncertainty_score":0.998912},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97715086,0.02114068,0.00047079948,0.0006065231,0.00042730084,0.000014662267,5.661239e-7,0.000024910672,0.00016371283],"genre_scores_gemma":[0.99292064,0.0020618048,0.004908667,0.000016082493,0.00006426094,1.4873901e-8,1.6403257e-7,0.00000168147,0.000026673073],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992986,0.000008387705,0.00019574071,0.00014002649,0.0001486407,0.00020862902],"domain_scores_gemma":[0.99957573,0.00006783853,0.0000862912,0.00007669245,0.00009278538,0.0001006489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060744095,0.000068191,0.00014503342,0.0003118415,0.000112135676,0.000048665326,0.00013733,0.00010520141,0.0000028202337],"category_scores_gemma":[0.00038220003,0.000052785657,0.000011236028,0.0005682069,0.00019774042,0.0002281511,0.000020181875,0.00048995303,8.21439e-7],"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":[0.00001680748,0.00001059825,0.14636922,0.00013061856,0.00007860409,0.00067238,0.0012165208,0.15642992,0.17294517,0.0022600074,0.00015789125,0.51971227],"study_design_scores_gemma":[0.0010809831,0.00041087874,0.11402737,0.0017116517,0.00010366001,0.0383311,0.0029903601,0.8015669,0.026098289,0.0009936354,0.011882449,0.000802721],"about_ca_topic_score_codex":0.00001739678,"about_ca_topic_score_gemma":9.0993655e-7,"teacher_disagreement_score":0.64513695,"about_ca_system_score_codex":0.0000037813165,"about_ca_system_score_gemma":0.00007690851,"threshold_uncertainty_score":0.21525367},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80946267,0.0008652913,0.1861421,0.00080334506,0.0001199638,0.00011873442,4.4611767e-7,0.00000967892,0.0024777607],"genre_scores_gemma":[0.9925908,0.0018391089,0.00503253,0.0002440819,0.00007928628,1.9413459e-7,0.0000035463017,0.000007005856,0.00020345635],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984658,0.00008988425,0.0004796109,0.00022655762,0.00045480274,0.0002833672],"domain_scores_gemma":[0.999605,0.000010236215,0.00007681925,0.00014972994,0.00007947823,0.00007874986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014155217,0.00015641317,0.00020711042,0.0002109881,0.0001526625,0.00021794278,0.0001344434,0.000037323145,0.000010600926],"category_scores_gemma":[0.000006044249,0.00009306318,0.00006290847,0.000085878346,0.000018946728,0.00027197244,0.00006821444,0.00020377804,0.0000025375853],"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":[0.000056298813,0.00001283439,0.0010350168,0.00007722468,0.00007749832,0.00007432843,0.0020779315,0.9161556,0.00008036275,0.00001651936,0.000045519777,0.08029088],"study_design_scores_gemma":[0.0006784747,0.000027256914,0.00047244623,0.00027725095,0.000099410456,0.000052146963,0.0020085417,0.9946792,0.000024524385,0.0013431449,0.00020757204,0.00013004502],"about_ca_topic_score_codex":0.00008338867,"about_ca_topic_score_gemma":0.0003930102,"teacher_disagreement_score":0.18312812,"about_ca_system_score_codex":0.000021299544,"about_ca_system_score_gemma":0.000008276486,"threshold_uncertainty_score":0.37950063},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99113375,0.00027085876,0.0007228845,0.00034353745,0.00011940523,0.00008453633,0.00009741812,0.000055157474,0.007172455],"genre_scores_gemma":[0.99379426,0.000008554725,0.0054925545,0.00021440673,0.00011686734,2.0262556e-7,0.00028793115,0.0000036093743,0.00008160098],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991064,0.00008265029,0.00018539326,0.00019371693,0.00028011503,0.00015170213],"domain_scores_gemma":[0.99952036,0.00017421738,0.00009502163,0.00009816951,0.000053441378,0.00005878858],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013602577,0.00010874983,0.00015519334,0.000052618427,0.00009573361,0.00008703853,0.00006211204,0.000044010598,0.004602344],"category_scores_gemma":[0.000023981966,0.0000821107,0.000056543147,0.00012197017,0.000030544623,0.00011775484,0.000002333669,0.00009509313,0.000031010662],"study_design_candidate":"design_other","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":[0.00039083176,0.0003546039,0.05782249,0.00023174848,0.00007239372,0.0003089697,0.00071578874,0.02006213,0.047177143,0.000004516034,0.0071888827,0.8656705],"study_design_scores_gemma":[0.0005834658,0.00013726563,0.5851393,0.00011784431,0.0000364948,0.000008369444,0.00019503185,0.39558268,0.017657738,0.00004948964,0.00037169678,0.000120668556],"about_ca_topic_score_codex":0.00030233228,"about_ca_topic_score_gemma":0.00023503632,"teacher_disagreement_score":0.86554986,"about_ca_system_score_codex":0.0000029841628,"about_ca_system_score_gemma":0.000072566756,"threshold_uncertainty_score":0.9963076},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94031805,0.016127147,0.009740574,0.010217572,0.000852778,0.003669015,0.00008764076,0.000118386124,0.018868826],"genre_scores_gemma":[0.99288255,0.0019475728,0.0033327786,0.0004804397,0.00031899984,4.5554495e-7,0.00020316565,0.00000859724,0.00082544645],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99788797,0.00063002616,0.00037599503,0.00043856466,0.0004575474,0.00020987011],"domain_scores_gemma":[0.9965546,0.00190534,0.00036036153,0.0010183541,0.00010651131,0.000054847107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058508513,0.00030324265,0.00043029655,0.000054819633,0.00038672358,0.00022479687,0.0003645335,0.00022054385,0.000015500991],"category_scores_gemma":[0.00013420853,0.00010618845,0.00020144832,0.0005289313,0.00021861201,0.000058561902,0.00011795051,0.0006465886,0.000003229686],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003061939,0.00005132542,0.059155907,0.0007179431,0.0011078242,0.00003883913,0.024554513,0.031677883,0.000057005283,0.00014695659,0.101599395,0.78058624],"study_design_scores_gemma":[0.0012503688,0.0011656429,0.13291276,0.0012075022,0.0019302125,0.00032333465,0.005949409,0.12960936,0.0042935116,0.0006734657,0.71929735,0.0013871042],"about_ca_topic_score_codex":0.012190052,"about_ca_topic_score_gemma":0.002024548,"teacher_disagreement_score":0.7791991,"about_ca_system_score_codex":0.0000061185883,"about_ca_system_score_gemma":0.0000445005,"threshold_uncertainty_score":0.99438787},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91115904,0.0009933244,0.0000012581024,0.00006184938,0.000337177,0.00013590907,0.0003216934,0.0000048911334,0.08698487],"genre_scores_gemma":[0.99724823,0.0006738804,0.00007188473,0.000121353565,0.00005040245,1.1213066e-7,0.00027976182,0.000013497104,0.0015408719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777406,0.00009336584,0.0004099115,0.0002986714,0.0010896368,0.0003343592],"domain_scores_gemma":[0.99908435,0.0002188566,0.00032768663,0.00017277972,5.4974345e-7,0.00019574793],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000018227525,0.0002670541,0.0004382936,0.00014101535,0.00012738504,0.000023218228,0.00015496761,0.000082435094,0.0001453465],"category_scores_gemma":[0.0000024969472,0.00025051445,0.000048213962,0.00015204759,0.00008009166,0.00023089643,0.0000051259412,0.00027055127,8.7070715e-9],"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":[0.01304237,0.00019326147,0.7510201,0.0025843505,0.0009617395,0.0014445891,0.0021099,0.004673739,0.034894966,0.00035866577,0.0010839287,0.1876324],"study_design_scores_gemma":[0.0003714282,0.000080306556,0.9734483,0.00036469573,0.000052596657,0.00002229946,0.003305255,0.0059815464,0.014003985,0.00013996978,0.0018495932,0.0003800539],"about_ca_topic_score_codex":0.32348058,"about_ca_topic_score_gemma":0.89065635,"teacher_disagreement_score":0.56717575,"about_ca_system_score_codex":0.0000066370308,"about_ca_system_score_gemma":0.0015411791,"threshold_uncertainty_score":0.9999947},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979965,0.00025902054,0.00027436737,0.00003885608,0.00009421298,0.00006483079,0.00009581018,0.000022111482,0.0011542641],"genre_scores_gemma":[0.9974121,0.00007659432,0.0019925751,0.00003867825,0.000037632188,4.884367e-9,0.00006072476,0.0000032686394,0.00037843574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992007,0.000079620295,0.000091083566,0.00024925865,0.00016240396,0.00021695539],"domain_scores_gemma":[0.9995758,0.00009209095,0.0000497508,0.000119135264,0.00007001329,0.00009322167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007352485,0.000038271566,0.00020593166,0.000033418524,0.00012863548,0.000085467625,0.00009228301,0.00008475267,0.00038281997],"category_scores_gemma":[0.00004905273,0.00010139976,0.00007235232,0.00023825126,0.00006483614,0.00014367703,0.000020162764,0.00011651719,0.00003107876],"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":[0.000013725642,0.000021472608,0.92818916,0.000025856722,0.000016753707,0.0007596199,0.000075306336,0.0019517788,0.000024029196,3.7836987e-8,0.00007697841,0.06884526],"study_design_scores_gemma":[0.0009135923,0.000016757827,0.8825655,0.00010874575,0.000013908608,0.00007996061,0.00039016383,0.11550918,2.3727625e-7,0.000022543854,0.0002635987,0.000115799456],"about_ca_topic_score_codex":0.084217615,"about_ca_topic_score_gemma":0.9026317,"teacher_disagreement_score":0.81841403,"about_ca_system_score_codex":0.000007687914,"about_ca_system_score_gemma":0.0000989185,"threshold_uncertainty_score":0.92188066},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99125534,0.000027539698,0.00010118663,0.00012711663,0.00015426487,0.00015099224,0.00000990367,0.000037226106,0.008136438],"genre_scores_gemma":[0.99840593,0.0000031726045,0.0005949663,0.0003114237,0.00009717748,2.0887035e-7,0.000058956633,0.0000044559997,0.00052368164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990129,0.00009346144,0.0002087719,0.00031470836,0.00014856878,0.0002216119],"domain_scores_gemma":[0.9992736,0.00012981595,0.00005255268,0.00033663475,0.000062403284,0.00014501272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018286114,0.00010790683,0.00016527048,0.00008926426,0.00016176184,0.0000534717,0.00008207544,0.000053498283,0.00036536006],"category_scores_gemma":[0.00003085469,0.00008457838,0.000030511617,0.00024627286,0.000013116926,0.00012695756,0.000010451307,0.00009234395,0.000044156714],"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":[0.00014415843,0.0005766389,0.8619613,0.000022690054,0.00009106655,0.0031205402,0.01348976,0.004226683,0.00243902,0.00036031878,0.0032029036,0.11036492],"study_design_scores_gemma":[0.0019186827,0.0052455217,0.89044756,0.000052156196,0.00011368162,0.004803119,0.06953846,0.018387243,0.0033764513,0.00024287126,0.0050765118,0.00079775526],"about_ca_topic_score_codex":0.012216171,"about_ca_topic_score_gemma":0.046153333,"teacher_disagreement_score":0.109567165,"about_ca_system_score_codex":0.000006499014,"about_ca_system_score_gemma":0.00003167174,"threshold_uncertainty_score":0.9943616},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7384025,0.012891523,0.2058462,0.0028868483,0.006585508,0.000828748,0.026904048,0.0005487802,0.0051058386],"genre_scores_gemma":[0.31087735,0.0003822847,0.65835637,0.0001968695,0.003505829,2.1232232e-7,0.026472649,0.000010729656,0.00019770049],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977511,0.000111847214,0.00034267778,0.0009716333,0.000489582,0.00033315708],"domain_scores_gemma":[0.9974861,0.00014824345,0.00012223316,0.0019825788,0.00008170412,0.0001791056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006437717,0.00022373757,0.00022474283,0.0000978142,0.00088129734,0.00028923346,0.00080560497,0.00007220238,0.000053948144],"category_scores_gemma":[0.0009297933,0.00018374348,0.000017514843,0.00031789797,0.0002207244,0.0027141331,0.0004471266,0.00024131987,0.000028258131],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029387852,0.00016997253,0.149436,0.0005616962,0.00033597887,0.0007317512,0.0009904761,0.028105026,0.0019139616,0.00074653764,0.01959398,0.79712075],"study_design_scores_gemma":[0.00038630192,0.00002346216,0.07100661,0.00024606142,0.000072282455,0.0015679313,0.00009167194,0.404633,0.00032300007,0.00007900458,0.5210759,0.0004947877],"about_ca_topic_score_codex":0.009105097,"about_ca_topic_score_gemma":0.0014604348,"teacher_disagreement_score":0.796626,"about_ca_system_score_codex":0.000016632199,"about_ca_system_score_gemma":0.0004035842,"threshold_uncertainty_score":0.9974934},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7991422,0.004196197,0.105690494,0.0063032573,0.0002702433,0.00076773966,0.00040516545,0.00019772585,0.083027],"genre_scores_gemma":[0.8737634,0.0044979188,0.102960326,0.00016980007,0.000068476205,0.000012109682,0.0137404,0.000051378163,0.0047362135],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97533983,0.021477273,0.0008200545,0.00086267176,0.000830769,0.0006693741],"domain_scores_gemma":[0.99255997,0.003316786,0.000842058,0.0010652109,0.001822427,0.00039353684],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012691743,0.0005561932,0.0005553219,0.00027125378,0.0008387115,0.0009305345,0.0006711294,0.0006184479,0.0005096324],"category_scores_gemma":[0.0026832046,0.0005590048,0.00031326019,0.0011232172,0.0003056885,0.0005589337,0.000051815503,0.0009781147,0.00008406021],"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":[0.00041148107,0.0014846732,0.038706068,0.0010391041,0.0007187727,0.00007995991,0.22466695,0.2232108,0.015610225,0.046926945,0.0026303572,0.44451466],"study_design_scores_gemma":[0.0012997299,0.000006008667,0.118060425,0.0024552583,0.0004826953,0.000054578377,0.0034859248,0.8360956,0.011682402,0.020714225,0.0048256223,0.0008375458],"about_ca_topic_score_codex":0.042100508,"about_ca_topic_score_gemma":0.13678645,"teacher_disagreement_score":0.6128848,"about_ca_system_score_codex":0.00020142284,"about_ca_system_score_gemma":0.0023344245,"threshold_uncertainty_score":0.9996861},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9664507,0.00021295561,0.0024939221,0.0012285577,0.0013182481,0.00023073192,0.027862854,0.000027522672,0.00017451182],"genre_scores_gemma":[0.9704017,0.000043737084,0.013094521,0.00016785125,0.00023498897,3.412789e-7,0.015939457,0.000007111539,0.000110299756],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870276,0.00007427967,0.00031537068,0.00030895232,0.00025285478,0.00034577478],"domain_scores_gemma":[0.9988975,0.00024265845,0.0001976926,0.0005204878,0.000057131863,0.000084542684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004721806,0.00013961023,0.00018687971,0.0000411366,0.0003158649,0.00010299943,0.0002552887,0.0000894007,0.0001950326],"category_scores_gemma":[0.00019603685,0.00009821165,0.000079611425,0.000114565235,0.000048730268,0.0003932736,0.000036687085,0.00017311648,0.000030174378],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011187302,0.00069090776,0.008960146,0.0006277829,0.0003771315,0.00021451541,0.00086832716,0.09335409,0.3224123,0.00009946678,0.29641464,0.27486193],"study_design_scores_gemma":[0.0014386396,0.0001494537,0.29670653,0.00022187924,0.00021302102,0.00014953576,0.00022526551,0.05536915,0.18986486,0.0012345584,0.45390275,0.0005243704],"about_ca_topic_score_codex":0.008268568,"about_ca_topic_score_gemma":0.007495624,"teacher_disagreement_score":0.28774637,"about_ca_system_score_codex":0.000007509121,"about_ca_system_score_gemma":0.000059424317,"threshold_uncertainty_score":0.9983355},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93748266,0.0011193478,0.012813749,0.000009782489,0.00059997744,0.0002347321,0.000034444925,0.00005584879,0.047649458],"genre_scores_gemma":[0.9987778,0.00015268828,0.00039191768,0.000031767308,0.00008486522,9.587433e-7,0.00052551745,0.0000017717045,0.00003269943],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992244,0.00008997366,0.00031460833,0.00008282899,0.00016484091,0.00012330379],"domain_scores_gemma":[0.99967736,0.00004284945,0.00006792119,0.00007404728,0.00009994232,0.00003787959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021028265,0.00007567693,0.00014624785,0.000043264827,0.000099019875,0.00012851457,0.000030875643,0.000045885725,0.00006109347],"category_scores_gemma":[0.0000218588,0.000062921645,0.000030571413,0.00012623136,0.000027244147,0.000767855,0.0000030408858,0.00008439588,0.000041858257],"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":[0.00008462336,0.000018334838,0.022020096,0.0005954443,0.00003946895,0.0000064274022,0.015485243,0.19156495,0.00014387848,0.000039821956,0.000110518595,0.7698912],"study_design_scores_gemma":[0.0019577665,0.00017518779,0.022599196,0.00022763679,0.000054764576,0.00068572396,0.0292575,0.84047747,0.0012362362,0.000063500986,0.102760345,0.00050466246],"about_ca_topic_score_codex":0.0010199535,"about_ca_topic_score_gemma":0.000029925648,"teacher_disagreement_score":0.76938653,"about_ca_system_score_codex":0.0000027907179,"about_ca_system_score_gemma":0.000023713998,"threshold_uncertainty_score":0.25658703},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91507953,0.03641503,0.017334135,0.008789288,0.0130683165,0.00015242331,0.0000738994,0.000026786482,0.009060586],"genre_scores_gemma":[0.9242488,0.0012611628,0.035119373,0.0007624646,0.002388585,6.0499095e-10,0.000015950187,0.000039385224,0.036164273],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964246,0.00041650023,0.0008904663,0.000346816,0.00054734555,0.0013742587],"domain_scores_gemma":[0.9955282,0.00014383497,0.0005483504,0.00035836545,0.00055540865,0.0028658344],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009240502,0.00042656757,0.00067473063,0.00080749614,0.0012747598,0.00026769214,0.000334734,0.00046039638,0.00077345374],"category_scores_gemma":[0.00051521405,0.00040781844,0.00034182187,0.0007904181,0.0011289159,0.00056843914,0.000009618278,0.0012435394,0.0002488551],"study_design_candidate":"design_other","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":[0.000047745874,0.000004808378,0.050822854,0.000037754173,0.00009949583,0.013189995,0.002371993,0.0028058977,0.000006663137,0.0000018617254,0.063547544,0.8670634],"study_design_scores_gemma":[0.0005331564,0.00024589134,0.14974132,0.0007635251,0.00008257014,0.03800507,0.00053683226,0.17921863,0.000026193475,0.00052933523,0.6298347,0.0004827276],"about_ca_topic_score_codex":0.3783421,"about_ca_topic_score_gemma":0.47817892,"teacher_disagreement_score":0.86658067,"about_ca_system_score_codex":0.00019840559,"about_ca_system_score_gemma":0.0042990237,"threshold_uncertainty_score":0.99983734},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85117036,0.000043049367,0.14760147,0.00022094988,0.00019863927,0.00041224455,0.00014231571,0.0000776137,0.0001333419],"genre_scores_gemma":[0.9462733,7.5648495e-7,0.052826304,0.00023508091,0.00018904633,4.1583414e-7,0.0004243583,0.000011960333,0.000038745355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984351,0.00011955957,0.0002763938,0.00037404487,0.0004172597,0.00037764414],"domain_scores_gemma":[0.9994092,0.00017658267,0.00012694577,0.00014303002,0.000051332438,0.000092909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004618735,0.00019772962,0.00020576146,0.000112961905,0.0005736812,0.000105594794,0.00010766813,0.000033527263,0.0004739104],"category_scores_gemma":[0.000007813851,0.00016266799,0.000091218324,0.00014259496,0.000036487985,0.000053906893,0.000011452897,0.00012134379,0.00000571412],"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":[0.0013195543,0.000048045127,0.0011364024,0.00004160995,0.000034989505,0.000066390465,0.00039660625,0.77411234,0.0035700114,5.075339e-7,0.00016423587,0.21910931],"study_design_scores_gemma":[0.0025241554,0.0005226218,0.00474374,0.000041546486,0.000040405575,0.00004281936,0.0002648423,0.9896188,0.0012896397,0.000005560842,0.0006601302,0.00024578688],"about_ca_topic_score_codex":0.00076013076,"about_ca_topic_score_gemma":0.00015299424,"teacher_disagreement_score":0.21886353,"about_ca_system_score_codex":0.000017931505,"about_ca_system_score_gemma":0.000060633454,"threshold_uncertainty_score":0.6633408},"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":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033710802,0.0026144101,0.058385734,0.00010798981,0.0029333008,0.0006248077,0.0011841042,0.00033059617,0.930448],"genre_scores_gemma":[0.012845715,0.0008771921,0.8978225,0.00029364487,0.006298044,0.0000017942558,0.01640944,0.00004889864,0.06540275],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99773335,0.000052166808,0.0004556216,0.0006700656,0.00059704477,0.0004917488],"domain_scores_gemma":[0.9985935,0.00042018457,0.00025256077,0.0004114717,0.00014154614,0.00018072299],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00054460275,0.00037938374,0.00062773237,0.00012176717,0.00023324748,0.00025586248,0.0002315111,0.00039535266,0.002157082],"category_scores_gemma":[0.00027290027,0.0002619924,0.00026057905,0.00012234597,0.00004637561,0.00010994097,0.000013139763,0.00037531368,0.00014247799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038931048,0.00004855948,0.020973405,0.00039208934,0.00021432068,0.0000942475,0.00017773385,0.030312542,0.0000012013769,5.76919e-7,0.3783797,0.5693667],"study_design_scores_gemma":[0.00032335965,0.000058807775,0.005319168,0.00012878209,0.00013859491,0.00012113357,0.000071464165,0.8962024,0.0000034952113,0.00007106217,0.09700024,0.00056147785],"about_ca_topic_score_codex":0.026087828,"about_ca_topic_score_gemma":0.0015737755,"teacher_disagreement_score":0.86588985,"about_ca_system_score_codex":0.000012012296,"about_ca_system_score_gemma":0.00019687551,"threshold_uncertainty_score":0.99998325},"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 international 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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015724678,0.000060883503,0.9394638,0.01133195,0.0017642803,0.00070756295,0.00014944574,0.00008686217,0.030710561],"genre_scores_gemma":[0.99409175,0.00022045572,0.0030487117,0.002239262,0.00022098412,7.290405e-8,0.000066169865,0.0000085291385,0.00010408797],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99508315,0.00036325952,0.0014684777,0.0004741354,0.0020320176,0.0005789492],"domain_scores_gemma":[0.9964743,0.0010829603,0.0014346365,0.0004715799,0.0002393216,0.00029718474],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0012527279,0.0004597949,0.0004992193,0.0005740331,0.001607617,0.000837031,0.0018712116,0.00012668256,0.000032774533],"category_scores_gemma":[0.0008423506,0.0002692059,0.00041023214,0.0010555638,0.0029683593,0.0005056312,0.00061822415,0.00062341447,0.000009879526],"study_design_candidate":"design_other","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":[0.00025751806,0.000012443633,0.00081974774,0.000037495196,0.00006194552,5.9189944e-7,0.0026837834,0.005396431,0.0011738689,0.0000031818693,0.00016007775,0.98939294],"study_design_scores_gemma":[0.0008460173,0.00021569619,0.01249316,0.00028430845,0.000046740344,0.00015887523,0.0015507658,0.9655707,0.0031538182,0.0023598475,0.012987436,0.00033267032],"about_ca_topic_score_codex":0.8382769,"about_ca_topic_score_gemma":0.27721602,"teacher_disagreement_score":0.9890602,"about_ca_system_score_codex":0.000019328454,"about_ca_system_score_gemma":0.00024921578,"threshold_uncertainty_score":0.99997604},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007718632,0.00044077425,0.000002342684,0.000019254905,0.0013573585,0.000120457335,0.98328024,0.00003953249,0.013968155],"genre_scores_gemma":[0.0010370744,0.00034878717,0.00021567299,0.00021451028,0.00026100499,1.0017107e-7,0.9968099,0.000004248823,0.0011086917],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867994,0.00009379266,0.00018118271,0.00040452782,0.0002674714,0.0003730828],"domain_scores_gemma":[0.999116,0.00006474502,0.00012588024,0.0004814372,0.00003648727,0.0001754744],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001793501,0.0002595249,0.00029443068,0.00013153019,0.0001731628,0.000059274334,0.0003634538,0.00026915065,0.0072043044],"category_scores_gemma":[0.000035724584,0.0001908908,0.0000967571,0.00013644698,0.00010856778,0.00008247274,0.000016000946,0.0004126858,0.006443322],"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":[0.000030036703,0.0000067369197,0.00020905412,0.000014855461,0.000021737003,0.00011110447,0.000038586062,0.000012784501,1.1110423e-7,7.745256e-7,0.98945934,0.010094854],"study_design_scores_gemma":[0.00011424647,0.00014536623,0.009419694,0.000048994676,0.00004646264,0.000024231393,0.00003641082,0.00013384395,0.0000031820246,0.00015438817,0.9895748,0.00029839767],"about_ca_topic_score_codex":0.05141396,"about_ca_topic_score_gemma":0.05341935,"teacher_disagreement_score":0.013529647,"about_ca_system_score_codex":0.0000040444015,"about_ca_system_score_gemma":0.000095701085,"threshold_uncertainty_score":0.9943303},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90993965,0.00005611942,0.07344039,0.013859057,0.001440233,0.0003152049,0.000007875671,0.00014468709,0.0007967879],"genre_scores_gemma":[0.84754235,0.00031340064,0.11886864,0.032420926,0.00045900568,1.3203774e-8,0.000053850137,0.000015454323,0.0003263359],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715984,0.00014381518,0.000499201,0.0006729723,0.00064770674,0.00087645807],"domain_scores_gemma":[0.9985497,0.00018098338,0.00028338903,0.00043736034,0.00015858123,0.00038996703],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000801999,0.00035186854,0.0003048449,0.00042077265,0.001017528,0.0013073073,0.00022214328,0.00013239322,0.000016394104],"category_scores_gemma":[0.00017176148,0.00028416008,0.00006691645,0.0007428407,0.00081517943,0.002382433,0.00002593203,0.00034487474,0.00018975083],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009055939,0.0000015318227,0.0003276684,0.000024112709,0.0000060855364,0.0000135714745,0.00075609423,0.00015958316,0.01632505,6.7142213e-7,0.0022842817,0.9800923],"study_design_scores_gemma":[0.00038891716,0.000065264896,0.07058692,0.0001606439,0.000025688465,0.00067821384,0.00027221648,0.91907775,0.000900549,0.00016872138,0.0070434255,0.0006317097],"about_ca_topic_score_codex":0.029793397,"about_ca_topic_score_gemma":0.00063468685,"teacher_disagreement_score":0.9794606,"about_ca_system_score_codex":0.000021077696,"about_ca_system_score_gemma":0.00005853548,"threshold_uncertainty_score":0.9999611},"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":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010175373,0.00013903562,0.00043517328,0.000099639095,0.00048316832,0.000047586836,0.000027498145,0.000072756404,0.9985934],"genre_scores_gemma":[0.032002285,0.00011997641,0.00009193541,0.00085837085,0.0006414019,5.3005715e-9,0.00022168725,0.0000074682926,0.9660569],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992832,0.0000076201136,0.00013945794,0.00022783875,0.00017884096,0.00016307387],"domain_scores_gemma":[0.9995282,0.000051218813,0.000058004436,0.00023830103,0.00001931331,0.00010495805],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007618046,0.00018041462,0.00021303938,0.00005449822,0.000054311415,0.000045974964,0.00011628879,0.00018319467,0.020096675],"category_scores_gemma":[0.0000037672194,0.0001227226,0.00008644565,0.0000062375852,0.000034308312,0.000015960779,0.000004494108,0.0001761135,0.008053381],"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":[0.0000025881802,2.6749942e-7,0.0017138942,0.000009937288,0.000016490587,0.000031919055,0.0000067440455,0.000032790005,9.517842e-8,0.0005255453,0.030089049,0.96757066],"study_design_scores_gemma":[0.00006134487,0.00004517863,0.0032837973,0.000036237285,0.00001583977,0.000021446012,9.750264e-7,0.0013967801,8.035981e-7,0.0019623241,0.99295163,0.00022366412],"about_ca_topic_score_codex":0.0011932439,"about_ca_topic_score_gemma":0.003981407,"teacher_disagreement_score":0.967347,"about_ca_system_score_codex":0.0000012187564,"about_ca_system_score_gemma":0.000019416932,"threshold_uncertainty_score":0.99271894},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000406048,0.00015012272,0.00006442422,0.00006329393,0.0006127676,0.00005135864,0.00005030035,0.00007225379,0.99852943],"genre_scores_gemma":[0.009571504,0.00013412205,0.00012511817,0.0006192623,0.0010425554,4.8293916e-9,0.0002142239,0.000007410487,0.9882858],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927145,0.000005511759,0.00013448266,0.00023930987,0.00017990396,0.00016935861],"domain_scores_gemma":[0.999543,0.000032065207,0.000054523745,0.00023886735,0.000030161642,0.00010136312],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006342479,0.00017790338,0.0001826132,0.000055711538,0.00006269279,0.000049462138,0.00012094177,0.00018716646,0.095267355],"category_scores_gemma":[0.0000032125708,0.00012055952,0.00007856202,0.000007886877,0.00006375733,0.000030038029,0.000005551484,0.00014343983,0.017776765],"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":[0.0000067000014,7.7364405e-7,0.0022974494,0.000011955108,0.00003641307,0.00008761044,0.00003600637,0.0000064873134,1.9240494e-7,0.00012465687,0.15380043,0.84359133],"study_design_scores_gemma":[0.00005682312,0.00007183996,0.0027711676,0.000039915118,0.0000165491,0.00002623039,0.0000030542597,0.00055529416,0.0000017572706,0.0035493525,0.9926809,0.00022707986],"about_ca_topic_score_codex":0.0009714834,"about_ca_topic_score_gemma":0.005394627,"teacher_disagreement_score":0.84336424,"about_ca_system_score_codex":0.0000014403852,"about_ca_system_score_gemma":0.000027708918,"threshold_uncertainty_score":0.982988},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49301162,0.008704698,0.000042209056,0.00041870718,0.004432725,0.0033263688,0.00019761166,0.00042951864,0.48943654],"genre_scores_gemma":[0.8973197,0.005013194,0.0017779577,0.00035832336,0.00178456,0.0000027681103,0.0006483342,0.000043492815,0.09305172],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759436,0.00013845164,0.00044907758,0.00078879215,0.00058262894,0.00044669877],"domain_scores_gemma":[0.99871427,0.000062667175,0.00012691818,0.0004762337,0.00032518007,0.00029474095],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005419596,0.0004166734,0.0006215063,0.00017701586,0.00013010677,0.0003128524,0.00017126041,0.00028967505,0.00062573113],"category_scores_gemma":[0.00016501005,0.0002764251,0.000059953956,0.00027875215,0.00004379885,0.00009269962,0.000027152142,0.00029454043,0.0011804866],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077576074,0.0000803626,0.33814472,0.0057426724,0.0006374051,0.001186149,0.0020395855,0.0015330382,0.00030308735,0.000006705649,0.21744257,0.43210796],"study_design_scores_gemma":[0.00036025536,0.00057981187,0.046962574,0.0010136282,0.00012237213,0.0009869679,0.00006678015,0.008687843,0.000290626,0.00000374382,0.93985444,0.0010709824],"about_ca_topic_score_codex":0.009102964,"about_ca_topic_score_gemma":0.002474956,"teacher_disagreement_score":0.7224118,"about_ca_system_score_codex":0.000022860277,"about_ca_system_score_gemma":0.00028010184,"threshold_uncertainty_score":0.99996877},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7554786,0.005159735,0.20113209,0.0052915565,0.016673619,0.000793944,0.00018889394,0.000023081982,0.015258468],"genre_scores_gemma":[0.79780585,0.000034609453,0.19342056,0.0003199676,0.008156272,6.372959e-10,0.000024749748,0.000022751146,0.00021524119],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99772584,0.00011005372,0.00091402023,0.0001948353,0.0002754551,0.0007797752],"domain_scores_gemma":[0.9970731,0.00021182152,0.00060630654,0.00022471826,0.00062685664,0.0012572074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010076942,0.0002292117,0.0004794579,0.0010560805,0.00044554315,0.00022860688,0.00022662102,0.00019798362,0.000024293207],"category_scores_gemma":[0.00025028075,0.00020723714,0.00023788634,0.00045524514,0.00015170846,0.0001978564,0.0000019381566,0.0005536754,0.000008929964],"study_design_candidate":"design_other","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":[0.000028364075,0.0000014305051,0.0018249444,0.000023239227,0.000030119985,0.0008446238,0.00033050778,0.0037285066,0.000058654845,0.000004353699,0.010392974,0.9827323],"study_design_scores_gemma":[0.001366681,0.00025037967,0.023939032,0.000755114,0.00013561845,0.007267096,0.00053720106,0.13220364,0.00023778749,0.004697787,0.82801706,0.00059261697],"about_ca_topic_score_codex":0.72707945,"about_ca_topic_score_gemma":0.9754113,"teacher_disagreement_score":0.98213965,"about_ca_system_score_codex":0.00014213333,"about_ca_system_score_gemma":0.0040310756,"threshold_uncertainty_score":0.84508854},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90993965,0.00005611942,0.07344039,0.013859057,0.001440233,0.0003152049,0.000007875671,0.00014468709,0.0007967879],"genre_scores_gemma":[0.84754235,0.00031340064,0.11886864,0.032420926,0.00045900568,1.3203774e-8,0.000053850137,0.000015454323,0.0003263359],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715984,0.00014381518,0.000499201,0.0006729723,0.00064770674,0.00087645807],"domain_scores_gemma":[0.9985497,0.00018098338,0.00028338903,0.00043736034,0.00015858123,0.00038996703],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000801999,0.00035186854,0.0003048449,0.00042077265,0.001017528,0.0013073073,0.00022214328,0.00013239322,0.000016394104],"category_scores_gemma":[0.00017176148,0.00028416008,0.00006691645,0.0007428407,0.00081517943,0.002382433,0.00002593203,0.00034487474,0.00018975083],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009055939,0.0000015318227,0.0003276684,0.000024112709,0.0000060855364,0.0000135714745,0.00075609423,0.00015958316,0.01632505,6.7142213e-7,0.0022842817,0.9800923],"study_design_scores_gemma":[0.00038891716,0.000065264896,0.07058692,0.0001606439,0.000025688465,0.00067821384,0.00027221648,0.91907775,0.000900549,0.00016872138,0.0070434255,0.0006317097],"about_ca_topic_score_codex":0.029793397,"about_ca_topic_score_gemma":0.00063468685,"teacher_disagreement_score":0.9794606,"about_ca_system_score_codex":0.000021077696,"about_ca_system_score_gemma":0.00005853548,"threshold_uncertainty_score":0.9999611},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5797578,0.0012947258,0.000054507324,0.00008530502,0.0019812009,0.00011178927,0.00068095716,0.00002690808,0.41600683],"genre_scores_gemma":[0.9586188,0.0013609154,0.00021571676,0.00033165203,0.00060426537,4.6475634e-8,0.001720784,0.000007864209,0.037139934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984464,0.000037140988,0.00036564964,0.00026430155,0.0006723903,0.00021410346],"domain_scores_gemma":[0.99902385,0.00024756696,0.0002422841,0.00027179025,0.00012520603,0.00008932216],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013658515,0.00019561479,0.0004332749,0.000054765642,0.000048056703,0.00004221742,0.000113892456,0.0002506994,0.014305506],"category_scores_gemma":[0.00011248874,0.0001427303,0.00008238131,0.00008141696,0.00002810775,0.000060860013,0.0000069324656,0.00022628439,0.000038010086],"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":[0.00001970663,0.000008060107,0.4703915,0.000048493268,0.00008472996,0.00014097562,0.000030887866,0.0005117252,0.0000030835358,1.8066282e-7,0.46933776,0.0594229],"study_design_scores_gemma":[0.00021085981,0.000034278633,0.6107143,0.00009782464,0.00005997577,0.000024515908,0.000012157971,0.0033162,0.00006246437,0.000029118833,0.38514182,0.00029648445],"about_ca_topic_score_codex":0.99134415,"about_ca_topic_score_gemma":0.9586342,"teacher_disagreement_score":0.37886688,"about_ca_system_score_codex":0.000015101293,"about_ca_system_score_gemma":0.0007482752,"threshold_uncertainty_score":0.9865956},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09430737,0.006859945,0.00000702266,0.00005531966,0.0019599567,0.00025374815,0.0003346886,0.00007298171,0.896149],"genre_scores_gemma":[0.7714666,0.017059121,0.0012778881,0.0004554987,0.0013377042,4.356264e-7,0.0017734122,0.00003896922,0.20659037],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977436,0.00008068372,0.00046232212,0.00041787513,0.00089572795,0.0003997649],"domain_scores_gemma":[0.99879456,0.00011198622,0.00028185398,0.000450997,0.00019241599,0.0001681977],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042404214,0.00033769364,0.00059669797,0.00015352608,0.00007614807,0.000048422673,0.00017285602,0.00031182406,0.004241981],"category_scores_gemma":[0.000079443584,0.00022672246,0.00021051287,0.00014996779,0.0000702465,0.000056276,0.000010822832,0.00028788697,0.00014055298],"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":[0.000088665445,0.00025687297,0.33573768,0.000603847,0.00051169645,0.00020268044,0.0001569538,0.0020166002,0.000015285988,0.0000127267485,0.5234299,0.1369671],"study_design_scores_gemma":[0.0004347506,0.00035472753,0.38515374,0.0001693271,0.0001925406,0.0004188712,0.0000853811,0.0003818234,0.00016089092,0.000095764,0.6119561,0.0005960971],"about_ca_topic_score_codex":0.043526027,"about_ca_topic_score_gemma":0.006374099,"teacher_disagreement_score":0.6895586,"about_ca_system_score_codex":0.000019427267,"about_ca_system_score_gemma":0.00053840637,"threshold_uncertainty_score":0.9966683},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74229926,0.00028780085,0.24737993,0.0036636572,0.0009811819,0.00028608393,0.00006181922,0.000035270437,0.005004972],"genre_scores_gemma":[0.9993173,0.00012406992,0.00016786136,0.00026303693,0.000092202135,8.80997e-9,0.0000033401552,0.000002003928,0.000030217097],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983245,0.00016075166,0.0004918886,0.00015106455,0.00057182147,0.00029993817],"domain_scores_gemma":[0.9988366,0.00029760416,0.00032866537,0.00025739465,0.00020738508,0.00007237722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012953458,0.000144545,0.00021536037,0.00016870144,0.0004989778,0.00012562079,0.00027540734,0.00007374817,0.000022542463],"category_scores_gemma":[0.00038849452,0.00006196772,0.0001277754,0.0005289105,0.0007265029,0.00031487396,0.00002981713,0.000099759214,0.0000051717325],"study_design_candidate":"design_other","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":[0.00003866097,0.0000029035957,0.01034229,0.000011863257,0.0000103031825,1.4109712e-7,0.00064161606,0.0003528877,0.0003381756,0.0000027213553,0.00020359359,0.9880549],"study_design_scores_gemma":[0.0003228177,0.00025518745,0.17462566,0.00024280732,0.000021513055,0.00003472159,0.00081741525,0.8041284,0.014290053,0.0009837761,0.0040893024,0.00018832185],"about_ca_topic_score_codex":0.41358367,"about_ca_topic_score_gemma":0.05418978,"teacher_disagreement_score":0.9878665,"about_ca_system_score_codex":0.0000041147846,"about_ca_system_score_gemma":0.00008046533,"threshold_uncertainty_score":0.9630688},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000590184,0.00029339653,0.00000790867,0.000009144246,0.00057500193,0.0001566771,0.00054323283,0.00012472765,0.99769974],"genre_scores_gemma":[0.0013043898,0.00019480973,0.00005427442,0.00004520105,0.00038735336,5.8461667e-9,0.00047652054,0.000010187769,0.99752724],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884856,0.000054450495,0.000117123935,0.00041489265,0.00022337797,0.00034160964],"domain_scores_gemma":[0.99876505,0.00008088284,0.00021774424,0.0006674543,0.000061247985,0.00020761788],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000099908684,0.0002857752,0.00034898438,0.00010477619,0.00051035953,0.00015698369,0.0006279048,0.00032746207,0.000019870955],"category_scores_gemma":[0.000014031107,0.0002750355,0.00017699863,0.0000044925428,0.00023907702,0.0000979324,0.00005368591,0.0003938811,0.00014663885],"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":[0.000077242956,0.0000033549916,0.0005116198,0.000082244485,0.00008847952,0.00068450667,0.00003961598,0.000006902473,9.857591e-7,0.006731972,0.9736828,0.018090276],"study_design_scores_gemma":[0.00026575205,0.00004358579,0.0018543479,0.00012639702,0.00011202704,0.000021864118,0.000011064495,0.00048087386,0.000014739992,0.0000027696628,0.9967091,0.00035749757],"about_ca_topic_score_codex":0.0020215828,"about_ca_topic_score_gemma":0.00008400685,"teacher_disagreement_score":0.023026282,"about_ca_system_score_codex":0.000020854237,"about_ca_system_score_gemma":0.00020167809,"threshold_uncertainty_score":0.9999702},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98849154,0.0047563324,0.00025161466,0.00007733793,0.00030588004,0.0003770342,0.0035552308,0.000025196088,0.0021598318],"genre_scores_gemma":[0.923898,0.014296771,0.006963407,0.000026293785,0.00019328046,1.2860829e-7,0.053618666,0.000007951724,0.0009955073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853176,0.000049666,0.00041475566,0.00046968603,0.00040296387,0.0001311912],"domain_scores_gemma":[0.99801546,0.0004311244,0.0003674836,0.0009103592,0.00020487014,0.00007067973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005119541,0.00017453721,0.0003288816,0.000038143193,0.00013548452,0.00012356456,0.00031844038,0.00017464031,0.000008810507],"category_scores_gemma":[0.00023664063,0.000089906076,0.000013379764,0.00008595069,0.00009980132,0.00026862425,0.00012655336,0.00016284165,0.0000027317703],"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":[0.000040488532,0.00001325563,0.7657068,0.000098544486,0.0001148364,0.0000038877165,0.00014264524,0.000033860822,0.000009278492,5.163756e-7,0.008916787,0.22491913],"study_design_scores_gemma":[0.00011888939,0.000011896975,0.8333706,0.000079015095,0.000080840044,0.000026982996,0.000041334235,0.012824128,0.000019137715,0.000008727214,0.15329373,0.00012471511],"about_ca_topic_score_codex":0.050350945,"about_ca_topic_score_gemma":0.10629953,"teacher_disagreement_score":0.2247944,"about_ca_system_score_codex":0.0000031997251,"about_ca_system_score_gemma":0.00007687727,"threshold_uncertainty_score":0.95597285},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99011993,0.0001727574,0.0065830387,0.0013463605,0.00008585185,0.000073392745,0.000011605963,0.000009122187,0.0015979316],"genre_scores_gemma":[0.9992377,0.00003151841,0.00023718968,0.00046309998,0.000012311374,4.7866877e-8,0.000011019889,0.0000011745799,0.000005932955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993974,0.000060479564,0.00015573518,0.00011263702,0.00015685052,0.000116882766],"domain_scores_gemma":[0.9996955,0.000057900605,0.00006321792,0.00013305063,0.000017519782,0.00003284241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036613634,0.000052269344,0.00010187309,0.00013961217,0.00004179548,0.0000072598427,0.00006857079,0.000021694237,0.000016834854],"category_scores_gemma":[0.000053752876,0.00003440094,0.000045839854,0.0004977113,0.00004757085,0.000052171137,0.0000036440044,0.00007457705,0.000004243272],"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":[0.00009444583,0.000036972117,0.7651722,0.000012931507,0.00003129928,0.0000058592013,0.0018286491,0.22729771,0.0009636191,0.002758885,0.00044591795,0.0013515165],"study_design_scores_gemma":[0.0002772864,0.00010284217,0.9873736,0.00006670272,0.000010400928,0.0000074735644,0.00066225237,0.005020972,0.00015958247,0.0054450855,0.0008126463,0.00006116653],"about_ca_topic_score_codex":0.038297556,"about_ca_topic_score_gemma":0.01276061,"teacher_disagreement_score":0.22227675,"about_ca_system_score_codex":0.000027725047,"about_ca_system_score_gemma":0.000054503733,"threshold_uncertainty_score":0.9681065},"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 international 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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08528847,0.000067168185,0.89917654,0.0035710002,0.0014362301,0.0005021526,0.00044471753,0.000037412417,0.009476291],"genre_scores_gemma":[0.99619246,0.00024327346,0.0027311814,0.0006378687,0.00011198106,6.254636e-8,0.00004397666,0.0000054249945,0.000033789172],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959074,0.00029049476,0.0013409874,0.0003833017,0.001561598,0.0005162199],"domain_scores_gemma":[0.99708253,0.0006966204,0.0014259891,0.00037965618,0.00024154867,0.00017364029],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012261074,0.0003837781,0.00044731252,0.00054899923,0.0011456895,0.00046198713,0.0010241132,0.000088107554,0.00001840687],"category_scores_gemma":[0.00034864392,0.00020342214,0.0002909259,0.0005942983,0.0038603647,0.00038544566,0.0004949409,0.00024177268,0.0000021295425],"study_design_candidate":"design_other","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":[0.0001363227,0.000009931852,0.0043170587,0.000049731025,0.00009023579,4.1394873e-7,0.0017451453,0.0011841216,0.00094584737,0.000021836717,0.000033606313,0.99146575],"study_design_scores_gemma":[0.00078556396,0.00017060753,0.059892487,0.0004101288,0.000042822598,0.00014768261,0.0019389265,0.923564,0.0031586287,0.0073680114,0.002257707,0.00026343175],"about_ca_topic_score_codex":0.7745481,"about_ca_topic_score_gemma":0.2794244,"teacher_disagreement_score":0.9912023,"about_ca_system_score_codex":0.00002403277,"about_ca_system_score_gemma":0.00017173753,"threshold_uncertainty_score":0.9988506},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94031805,0.016127147,0.009740574,0.010217572,0.000852778,0.003669015,0.00008764076,0.000118386124,0.018868826],"genre_scores_gemma":[0.99288255,0.0019475728,0.0033327786,0.0004804397,0.00031899984,4.5554495e-7,0.00020316565,0.00000859724,0.00082544645],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99788797,0.00063002616,0.00037599503,0.00043856466,0.0004575474,0.00020987011],"domain_scores_gemma":[0.9965546,0.00190534,0.00036036153,0.0010183541,0.00010651131,0.000054847107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058508513,0.00030324265,0.00043029655,0.000054819633,0.00038672358,0.00022479687,0.0003645335,0.00022054385,0.000015500991],"category_scores_gemma":[0.00013420853,0.00010618845,0.00020144832,0.0005289313,0.00021861201,0.000058561902,0.00011795051,0.0006465886,0.000003229686],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003061939,0.00005132542,0.059155907,0.0007179431,0.0011078242,0.00003883913,0.024554513,0.031677883,0.000057005283,0.00014695659,0.101599395,0.78058624],"study_design_scores_gemma":[0.0012503688,0.0011656429,0.13291276,0.0012075022,0.0019302125,0.00032333465,0.005949409,0.12960936,0.0042935116,0.0006734657,0.71929735,0.0013871042],"about_ca_topic_score_codex":0.012190052,"about_ca_topic_score_gemma":0.002024548,"teacher_disagreement_score":0.7791991,"about_ca_system_score_codex":0.0000061185883,"about_ca_system_score_gemma":0.0000445005,"threshold_uncertainty_score":0.99438787},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054209378,0.0006514534,0.9410414,0.00013380461,0.00003670715,0.0007674405,0.000121501165,0.000045344135,0.0029929539],"genre_scores_gemma":[0.4392353,0.00010409739,0.56027746,0.000044873854,0.000019255362,0.0000011698266,0.00017101169,0.000006115922,0.00014067648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989887,0.00010318969,0.0001748138,0.00038765045,0.00020196957,0.00014368581],"domain_scores_gemma":[0.9994028,0.000086131506,0.00010425851,0.00023670979,0.00007364334,0.00009644712],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019468769,0.00017799968,0.00026795937,0.00010713894,0.0001211948,0.000055421187,0.00013642594,0.00007749284,0.0010789195],"category_scores_gemma":[0.000008828194,0.000129209,0.000031562315,0.00014738341,0.000031005766,0.00003957874,0.000052557338,0.00019693686,0.00000490194],"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":[0.000089189234,0.0000037652162,0.00013896321,0.00001562819,0.00005129767,9.4520146e-7,0.00022232525,0.98950404,0.00003523802,0.00001964661,0.000043190557,0.009875766],"study_design_scores_gemma":[0.00008403117,0.00010669076,0.0002916848,0.00002035265,0.00006560973,0.0000063797643,0.00018656379,0.99827725,0.00011119752,0.0006080409,0.000059405083,0.0001828267],"about_ca_topic_score_codex":0.0018753544,"about_ca_topic_score_gemma":0.00018486149,"teacher_disagreement_score":0.38502592,"about_ca_system_score_codex":0.0000048070438,"about_ca_system_score_gemma":0.00009088104,"threshold_uncertainty_score":0.99983424},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92874414,0.000018382352,0.070011035,0.00051933574,0.0004873075,0.000050458188,0.000035764966,0.000006586304,0.00012697146],"genre_scores_gemma":[0.9659517,0.000020801313,0.033810828,0.000058009256,0.00004417709,5.169685e-9,0.000099478326,0.0000023527364,0.000012643818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989775,0.00008928732,0.00033764882,0.00006577303,0.0004749162,0.000054873046],"domain_scores_gemma":[0.9991122,0.00007836192,0.00053021876,0.000042357944,0.00020475111,0.00003211563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037711085,0.000058022433,0.00011552751,0.00020952307,0.000058839043,0.00002605444,0.00006986781,0.000020283522,0.00005828681],"category_scores_gemma":[0.00004062402,0.000048567756,0.000050197716,0.00008724986,0.000018372193,0.000104235536,0.000007087712,0.000077278695,5.838019e-7],"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":[0.0003175982,0.000060216833,0.020219356,0.00003768281,0.00008493459,0.00004072832,0.00036045982,0.78265357,0.012761439,0.000103470506,0.00012377945,0.1832368],"study_design_scores_gemma":[0.00073367934,0.00022858632,0.053991843,0.000071923074,0.000022704837,0.00009273047,0.00014408905,0.9417738,0.0020784049,0.0007724904,0.000037895225,0.000051875406],"about_ca_topic_score_codex":0.00033115078,"about_ca_topic_score_gemma":0.00003722555,"teacher_disagreement_score":0.18318492,"about_ca_system_score_codex":0.000013220456,"about_ca_system_score_gemma":0.00003534758,"threshold_uncertainty_score":0.19805355},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7343509,0.020676613,0.011913417,0.026543414,0.0016583303,0.00057077175,0.0003753778,0.00022221022,0.20368895],"genre_scores_gemma":[0.8472453,0.007844227,0.057386715,0.00028072877,0.00026680523,0.0000025634592,0.0018723059,0.000037354603,0.08506404],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99092835,0.0063322075,0.0006387578,0.0010275044,0.00044529635,0.000627863],"domain_scores_gemma":[0.9944018,0.002690106,0.00050809956,0.0013107151,0.0006842242,0.00040504194],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005277595,0.0004961441,0.0005498094,0.00016071409,0.0007431611,0.0008030272,0.0007455548,0.00046848206,0.0005552313],"category_scores_gemma":[0.00092056283,0.00047977464,0.00020743348,0.00033366907,0.00067200453,0.00021245128,0.0002523221,0.00082036754,0.00021804844],"study_design_candidate":"design_other","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":[0.000030265359,0.00027528923,0.06223702,0.00023919577,0.000100348116,0.000040673163,0.0066511314,0.00092009833,0.000180442,0.0073498157,0.009594095,0.91238165],"study_design_scores_gemma":[0.0009683167,0.0000012668603,0.2424261,0.0025500162,0.00010813761,0.00009652154,0.00019198516,0.20045327,0.0020713822,0.0036619115,0.546433,0.0010381311],"about_ca_topic_score_codex":0.06538022,"about_ca_topic_score_gemma":0.049076006,"teacher_disagreement_score":0.9113435,"about_ca_system_score_codex":0.000029865922,"about_ca_system_score_gemma":0.00023430945,"threshold_uncertainty_score":0.9997654},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99474907,0.0010172734,3.2190036e-7,0.003116957,0.00020254416,0.00031380518,0.00006356669,0.00011979924,0.00041664363],"genre_scores_gemma":[0.9978818,0.00015757182,0.0016986774,0.000050538307,0.000027308173,6.727992e-7,0.0000065378185,0.000005795631,0.000171055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988267,0.000014347277,0.00022304023,0.00035584442,0.00031645974,0.0002636514],"domain_scores_gemma":[0.9994146,0.00005506101,0.00024993895,0.00018645331,0.000059106274,0.000034831126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003174314,0.00016589416,0.00037714135,0.00044082975,0.00026658198,0.00006216034,0.00042375136,0.00005443769,0.000009808919],"category_scores_gemma":[0.00010592576,0.00011147486,0.00007133266,0.0021639494,0.00012677276,0.00009824767,0.00017197369,0.00026390367,4.1347073e-7],"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":[0.0002932108,0.000035688307,0.6945895,0.00017401851,0.00028867062,0.0000045798915,0.0007644225,0.010228071,0.005002178,0.00016860105,0.00019684753,0.28825423],"study_design_scores_gemma":[0.0009880331,0.00086391193,0.4395524,0.0008317449,0.0016347179,0.000086356886,0.009782368,0.17897336,0.3576426,0.0014723663,0.006722961,0.0014491584],"about_ca_topic_score_codex":0.0012877114,"about_ca_topic_score_gemma":0.0011071218,"teacher_disagreement_score":0.35264042,"about_ca_system_score_codex":0.000007911557,"about_ca_system_score_gemma":0.000016487898,"threshold_uncertainty_score":0.45458126},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948787,0.00056792103,0.0000028253598,0.0006618435,0.00071238645,0.00029124747,0.000010265799,0.00009505905,0.002779725],"genre_scores_gemma":[0.99736804,0.00011032685,0.00075142196,0.000019254638,0.000012559766,0.0000018727198,0.0000033368387,0.0000034973718,0.0017296845],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922967,0.0000040827476,0.00024966904,0.0001551925,0.00023258607,0.00012878612],"domain_scores_gemma":[0.99917835,0.00009561487,0.00054544606,0.00009596548,0.00007344474,0.000011186276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017951672,0.00009338998,0.00018265845,0.00007463324,0.000114739996,0.000015306776,0.00033362085,0.000030273413,0.000012597708],"category_scores_gemma":[0.00010848056,0.00006356761,0.00007780575,0.000493978,0.0001208543,0.00007881138,0.000048128622,0.00012011389,3.4824347e-7],"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":[0.0002682587,0.000041796095,0.16571409,0.00019813704,0.00005505867,1.387533e-7,0.00014693565,0.001530591,0.019754756,0.00015201923,0.0026308133,0.8095074],"study_design_scores_gemma":[0.00065743044,0.0007044633,0.09412494,0.00022120783,0.000070010734,0.0000032137573,0.0028844792,0.009436776,0.87935907,0.0035701464,0.008780027,0.00018823535],"about_ca_topic_score_codex":0.00022028215,"about_ca_topic_score_gemma":0.00006861572,"teacher_disagreement_score":0.8596043,"about_ca_system_score_codex":0.000006010538,"about_ca_system_score_gemma":0.000020588093,"threshold_uncertainty_score":0.2592212},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02064126,0.0015305119,0.007933909,0.00084275444,0.003201042,0.0004022493,0.001902713,0.00010995398,0.9634356],"genre_scores_gemma":[0.9485164,0.0010046528,0.010072335,0.00045640094,0.00023679314,1.8131199e-7,0.03117665,0.000013920715,0.0085226465],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99745387,0.00006523475,0.0009837958,0.0003844424,0.0007030379,0.0004096448],"domain_scores_gemma":[0.99821365,0.00018621009,0.0006841113,0.00041500013,0.00021203511,0.00028898616],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00042451295,0.00034950976,0.00063730095,0.00034393402,0.00023881203,0.00021325788,0.0002736295,0.0003260912,0.0011772151],"category_scores_gemma":[0.000086462715,0.0002813914,0.00017560023,0.00044525965,0.0005320731,0.0005039156,0.000053637756,0.00027383337,0.0011544517],"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":[0.00033292576,0.000045744848,0.00013724578,0.00046796782,0.00013940629,0.00001140806,0.000017658796,0.0016483214,0.00014156051,0.00016021215,0.9107269,0.08617063],"study_design_scores_gemma":[0.000515439,0.00030034917,0.0099760555,0.0003112511,0.00010493254,0.000059239428,0.000008021657,0.0021451816,0.00047812567,0.00010195957,0.98553544,0.00046401363],"about_ca_topic_score_codex":0.00038930256,"about_ca_topic_score_gemma":0.00035432502,"teacher_disagreement_score":0.95491296,"about_ca_system_score_codex":0.000011009706,"about_ca_system_score_gemma":0.00020054576,"threshold_uncertainty_score":0.9999638},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9744194,0.00032511618,0.003660428,0.01214933,0.00015980488,0.00045351643,0.0002989665,0.000053665804,0.0084797675],"genre_scores_gemma":[0.99331516,0.00015015452,0.003825452,0.000053014457,0.00008083337,0.0000013198809,0.0018353881,0.000009981184,0.0007287139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98993146,0.0078455275,0.0006457659,0.0007209655,0.00053161825,0.00032463303],"domain_scores_gemma":[0.9938016,0.0030535918,0.0006911179,0.0013818502,0.00084730826,0.00022455945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005006641,0.00034931477,0.00040438044,0.00009029758,0.00056412217,0.00036117528,0.00063811877,0.00035670615,0.00027948388],"category_scores_gemma":[0.00059982453,0.00024063446,0.00013489499,0.0002653123,0.0005472486,0.00024060927,0.00008464447,0.0007095764,0.000018600425],"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":[0.000026338414,0.00012439815,0.89477694,0.00010597011,0.000040866016,5.643988e-7,0.00592318,0.0019984737,0.00084508554,0.0014308897,0.000057057117,0.09467024],"study_design_scores_gemma":[0.00024144616,0.000002696514,0.7834807,0.0005021894,0.000054169464,0.0000027085266,0.00013254983,0.21294676,0.0016212006,0.00047422617,0.0003227843,0.00021854069],"about_ca_topic_score_codex":0.009992206,"about_ca_topic_score_gemma":0.025528263,"teacher_disagreement_score":0.21094829,"about_ca_system_score_codex":0.000043233053,"about_ca_system_score_gemma":0.00015510008,"threshold_uncertainty_score":0.99660033},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15580584,0.08023788,0.6962311,0.013778849,0.001952447,0.0021517728,0.000418789,0.0005963954,0.04882689],"genre_scores_gemma":[0.85890114,0.07712987,0.05005826,0.0008524606,0.00010104921,0.0000115088715,0.0054044495,0.0000300845,0.007511149],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99610734,0.002150853,0.00038492755,0.00074101007,0.00033105892,0.000284797],"domain_scores_gemma":[0.9960654,0.00093557953,0.00034767942,0.001316316,0.001192408,0.00014264324],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029936172,0.0003024763,0.0003705468,0.0001328792,0.00035589776,0.00068343204,0.00047032427,0.00032942454,0.00006870187],"category_scores_gemma":[0.0006885001,0.00027498291,0.00029817238,0.00031473127,0.000045193516,0.00019665515,0.00007471405,0.0006962563,0.000021093927],"study_design_candidate":"design_other","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":[0.00006656595,0.00029256375,0.00039014703,0.0039280877,0.00014259906,0.000018554547,0.0038525423,0.00910552,0.00048677757,0.00095311867,0.0021134135,0.9786501],"study_design_scores_gemma":[0.00037418253,0.0000016210957,0.003780451,0.021090833,0.000099662095,0.000045480723,0.000052413983,0.95929325,0.005169693,0.0014892262,0.008025213,0.0005779834],"about_ca_topic_score_codex":0.0007519143,"about_ca_topic_score_gemma":0.008906147,"teacher_disagreement_score":0.9780721,"about_ca_system_score_codex":0.000030114137,"about_ca_system_score_gemma":0.0001911872,"threshold_uncertainty_score":0.99997026},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20910294,0.00005656198,0.78297836,0.0009377047,0.00037035136,0.00070496474,0.00016572737,0.00016781507,0.0055155614],"genre_scores_gemma":[0.9754832,0.000012111167,0.022742137,0.00094251137,0.00013720429,3.2500213e-7,0.00064027926,0.00000402079,0.000038210754],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914455,0.0000836334,0.00018005705,0.00015798812,0.00026825687,0.00016552988],"domain_scores_gemma":[0.99963915,0.000062776766,0.000104949104,0.00010024743,0.000026249028,0.000066605244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039832265,0.00010433063,0.00008593379,0.00011717447,0.00039159867,0.000083685496,0.000046413556,0.000026697344,0.00047867998],"category_scores_gemma":[0.0000060513744,0.000095062875,0.000029306457,0.00012605537,0.000021520955,0.00025634601,0.0000063989405,0.00014137044,0.000025045365],"study_design_candidate":"design_other","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":[0.000076956974,0.000008963077,0.00007809508,0.00001183746,0.000004175508,0.0000022297672,0.00019944677,0.003015184,0.0011227846,8.9099115e-7,0.00016462535,0.99531484],"study_design_scores_gemma":[0.0005186037,0.00023600282,0.012674328,0.000005369756,0.000011435129,0.000019029869,0.00016650993,0.963349,0.00016424476,0.00005460617,0.022680812,0.000120073615],"about_ca_topic_score_codex":0.0011553022,"about_ca_topic_score_gemma":0.00008637686,"teacher_disagreement_score":0.99519473,"about_ca_system_score_codex":0.000015363374,"about_ca_system_score_gemma":0.000020303078,"threshold_uncertainty_score":0.52412105},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9369336,0.00077290036,0.05761777,0.0016086408,0.00018611386,0.00018427703,0.0006642081,0.000053996326,0.0019784882],"genre_scores_gemma":[0.97471607,0.0011546675,0.008854948,0.000048533344,0.00003446288,3.4491217e-7,0.01493638,0.000009071301,0.00024553377],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99673665,0.0018498268,0.0004104588,0.0006108478,0.0002268748,0.00016533463],"domain_scores_gemma":[0.9970971,0.0006523571,0.00044694604,0.0013249659,0.00035621822,0.0001224594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020002567,0.00020091131,0.000330854,0.00011723211,0.0001657904,0.0003233137,0.0005813041,0.000192266,0.00007563114],"category_scores_gemma":[0.0004236448,0.00019216583,0.000035136916,0.00010457717,0.00015654949,0.00018457528,0.0004403313,0.00029954294,0.0000055965493],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004598986,0.00012931244,0.4323716,0.0003574937,0.00013644538,0.0000016804051,0.010858588,0.00030962934,0.0024233349,0.00043171286,0.00043336628,0.55250084],"study_design_scores_gemma":[0.00041304083,6.468269e-7,0.47202417,0.0014704909,0.00006090301,0.0000057985367,0.00013016698,0.5145347,0.005162446,0.0016281445,0.004231531,0.0003379718],"about_ca_topic_score_codex":0.016920155,"about_ca_topic_score_gemma":0.0061578588,"teacher_disagreement_score":0.5521629,"about_ca_system_score_codex":0.0000048536567,"about_ca_system_score_gemma":0.00006381083,"threshold_uncertainty_score":0.9896262},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872196,0.0028646956,0.005115926,0.0009446615,0.00014606107,0.00021869248,0.0009917174,0.000051570565,0.0024470957],"genre_scores_gemma":[0.968378,0.0036753006,0.0061516045,0.00003245969,0.000030000958,4.4946904e-7,0.021424133,0.00000816582,0.00029985755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968118,0.0016923915,0.0004247262,0.00062302634,0.00027806775,0.00017000652],"domain_scores_gemma":[0.9971803,0.00057225383,0.0004628496,0.0011434276,0.00049702224,0.0001441896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020856701,0.00021494814,0.00033853002,0.00012726101,0.0001388111,0.0004060223,0.0005660913,0.00019796923,0.00008338677],"category_scores_gemma":[0.000411361,0.00019575428,0.000031091804,0.00013639404,0.00017213757,0.0002794057,0.0004457382,0.00029226375,0.000005062362],"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":[0.00004230011,0.00008263896,0.6687259,0.00017454653,0.00009149482,0.0000013832291,0.011267934,0.00007296648,0.0016344694,0.00019302947,0.00026725465,0.31744608],"study_design_scores_gemma":[0.00043407004,0.0000010471776,0.77221626,0.0014688515,0.00007069153,0.000004693222,0.00032327193,0.21182823,0.004176861,0.0030350701,0.0060423594,0.0003985732],"about_ca_topic_score_codex":0.017934052,"about_ca_topic_score_gemma":0.013259047,"teacher_disagreement_score":0.3170475,"about_ca_system_score_codex":0.000006846028,"about_ca_system_score_gemma":0.000099029574,"threshold_uncertainty_score":0.9886056},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90860766,0.0003905559,0.0023499206,0.00047779278,0.0005908765,0.0001673659,0.000045496537,0.000015703716,0.08735465],"genre_scores_gemma":[0.9871824,0.0008616195,0.010849983,0.000031281932,0.000110353554,1.5603973e-8,0.00003507007,0.000007484115,0.00092180684],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972011,0.001256563,0.00042837093,0.00034302016,0.0005175487,0.0002533985],"domain_scores_gemma":[0.9976433,0.00036838776,0.0006462819,0.00093795644,0.00026169355,0.00014237316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004294653,0.00019096302,0.00028918125,0.0001394208,0.00045767217,0.000120238066,0.0007685113,0.00013571286,0.00022911414],"category_scores_gemma":[0.00029131773,0.00014381127,0.000099266086,0.0002081088,0.0012174661,0.00007693626,0.00036659118,0.0005053861,0.000007973065],"study_design_candidate":"design_other","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":[0.00005968426,0.000085499174,0.008543432,0.00012414441,0.00005517199,0.0000035402554,0.020232009,0.0008532877,0.009048952,0.0002788901,0.00045457412,0.9602608],"study_design_scores_gemma":[0.001499703,0.0000047568215,0.31384835,0.003326973,0.00029081485,0.00035583987,0.0022186183,0.21333924,0.43925437,0.015619034,0.009022538,0.0012197769],"about_ca_topic_score_codex":0.005954247,"about_ca_topic_score_gemma":0.0044566463,"teacher_disagreement_score":0.95904106,"about_ca_system_score_codex":0.0000141735745,"about_ca_system_score_gemma":0.00025144598,"threshold_uncertainty_score":0.90010804},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43764365,0.00079542043,0.55724144,0.0013779241,0.0019380972,0.00017282381,0.000056705634,0.000031339674,0.0007425913],"genre_scores_gemma":[0.3856721,0.000009787298,0.6135955,0.0002677027,0.00036280995,6.3600275e-10,0.00001683071,0.000014948804,0.000060357404],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977353,0.0003972681,0.0006106114,0.00029995144,0.00036748193,0.0005893765],"domain_scores_gemma":[0.99788404,0.00059288816,0.0005488348,0.00024728407,0.00020213907,0.00052481773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015169398,0.00022940186,0.00043336579,0.000523873,0.0010262345,0.00024510105,0.00018665835,0.00008337673,0.00015583244],"category_scores_gemma":[0.00035210862,0.00022067354,0.0002593815,0.00032651616,0.000050159204,0.00014356156,0.000010242973,0.0006140367,0.0000046921186],"study_design_candidate":"design_other","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":[0.000042261334,8.8259895e-7,0.000043903437,0.00001287148,0.000058625552,0.000623638,0.00050969113,0.0071677533,0.0016820304,7.3742297e-7,0.00026951285,0.9895881],"study_design_scores_gemma":[0.0005383112,0.00017944715,0.0038249108,0.00018510966,0.00012568531,0.004499169,0.0011196643,0.9253561,0.00135526,0.0036265752,0.05886561,0.00032414973],"about_ca_topic_score_codex":0.21452464,"about_ca_topic_score_gemma":0.07513384,"teacher_disagreement_score":0.98926395,"about_ca_system_score_codex":0.00013436607,"about_ca_system_score_gemma":0.00084340613,"threshold_uncertainty_score":0.94174254},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22223574,0.0007996999,0.25026134,0.005765121,0.0011554286,0.0054543335,0.005702506,0.0046329065,0.5039929],"genre_scores_gemma":[0.98759407,0.00001834504,0.0018612448,0.00031911366,0.00018100224,3.4881584e-8,0.009134795,0.00018808307,0.0007033379],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987866,0.0002781647,0.00015142212,0.00029199308,0.00024946156,0.00024233181],"domain_scores_gemma":[0.9994023,0.00007697725,0.0000684633,0.00022322989,0.00012709382,0.00010195053],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006462604,0.000079340134,0.00008630403,0.00011331259,0.0038936876,0.00027008433,0.00039424803,0.00003049567,0.016890055],"category_scores_gemma":[0.00015793544,0.00007710665,0.00004667493,0.0003350552,0.00005723188,0.00006959576,0.00009771644,0.00017686335,0.0009916037],"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":[0.00030889182,0.000105143394,0.00013621573,0.000051088948,0.000025982717,0.000012502504,0.00035570492,0.018289052,0.0004947574,0.00057268544,0.11631304,0.86333495],"study_design_scores_gemma":[0.00034466563,0.00029728143,0.0013385771,0.0000030164838,0.000008962449,0.00006815912,0.00027894747,0.017145747,0.000042062147,0.00040609037,0.9799599,0.00010658389],"about_ca_topic_score_codex":0.00003036347,"about_ca_topic_score_gemma":0.0000016020091,"teacher_disagreement_score":0.86364686,"about_ca_system_score_codex":0.000025447935,"about_ca_system_score_gemma":0.0000047600633,"threshold_uncertainty_score":0.99978626},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587321,0.0019117612,0.0023652366,0.0049680155,0.0018593218,0.0056868996,0.00085687556,0.0005060067,0.023113778],"genre_scores_gemma":[0.9886734,0.00038608772,0.0011388252,0.00004789431,0.00082061917,0.000035657842,0.0062363464,0.00003181497,0.002629341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9940856,0.001677648,0.00031846977,0.001363303,0.0018120334,0.00074292143],"domain_scores_gemma":[0.99516374,0.003108363,0.00012654225,0.0008529923,0.00051693193,0.00023142074],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002088343,0.00032752287,0.0004147917,0.0007036995,0.001233232,0.00044690477,0.0004527465,0.00033243647,0.0014099174],"category_scores_gemma":[0.0030923786,0.0002929363,0.00036027096,0.00067255535,0.00013698809,0.00014770003,0.00011860912,0.0026356147,0.00005050286],"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":[0.0014410926,0.00010288122,0.23394242,0.0004193484,0.00006578042,0.00006624746,0.0031350206,0.7095493,0.00005268805,0.000009394407,0.009285506,0.04193033],"study_design_scores_gemma":[0.0006845191,0.0006144644,0.28465852,0.00032485498,0.000023420744,0.0000034541215,0.010256499,0.69238365,0.00019942307,0.00033514222,0.010131806,0.00038427697],"about_ca_topic_score_codex":0.004317381,"about_ca_topic_score_gemma":0.0010592091,"teacher_disagreement_score":0.05071609,"about_ca_system_score_codex":0.00012572022,"about_ca_system_score_gemma":0.00038886262,"threshold_uncertainty_score":0.99995226},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963237,0.0007441232,0.0023678017,0.00012268382,0.000089233195,0.000046429985,0.000032567128,0.0000029750647,0.00027048957],"genre_scores_gemma":[0.9995811,0.00025733074,0.000024474755,0.000008028244,0.000027900278,9.167197e-8,0.00004470608,0.0000016376514,0.00005470786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987479,0.00026004962,0.0003354428,0.00009784625,0.00020517789,0.00035361317],"domain_scores_gemma":[0.99959874,0.000050700794,0.00025659296,0.000050062157,0.00001962923,0.000024290486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010301648,0.00006871471,0.00023660969,0.0003920037,0.00008042432,0.0000098029,0.00007122784,0.000027192444,0.000042722615],"category_scores_gemma":[0.000022789674,0.0000597277,0.000054699623,0.000397283,0.000044673696,0.00006492608,0.00000774118,0.0005871038,2.960304e-7],"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":[0.00043255274,0.000021914128,0.927118,0.000017877246,0.00016035604,0.000010401642,0.0032007862,0.031175965,0.000012651705,0.0013954025,0.000003479912,0.03645063],"study_design_scores_gemma":[0.00032525684,0.00025561434,0.8006247,0.00003071539,0.00004455749,0.00013555885,0.0049968897,0.19212241,0.000002293295,0.0013913154,0.000012038683,0.000058612695],"about_ca_topic_score_codex":0.008875547,"about_ca_topic_score_gemma":0.02845086,"teacher_disagreement_score":0.16094646,"about_ca_system_score_codex":0.0000888779,"about_ca_system_score_gemma":0.00031250142,"threshold_uncertainty_score":0.9977244},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967434,0.0005401586,0.0000051130623,0.002143196,0.00003879508,0.00047013815,0.000026112022,0.000008592449,0.000024495015],"genre_scores_gemma":[0.99713904,0.00006952687,0.0024136326,0.00032700223,0.000016210408,0.0000022968957,0.00001286077,0.0000032079413,0.000016200707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835676,0.0004774872,0.00026874273,0.00017963338,0.0004305915,0.00028678143],"domain_scores_gemma":[0.9990351,0.0003152045,0.0002654399,0.0002680355,0.000054369186,0.00006182454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033410898,0.00015724458,0.00035111298,0.00002323006,0.00035819467,0.000063053274,0.0002557604,0.00004162541,0.000018001676],"category_scores_gemma":[0.000023411922,0.0000776417,0.00009794312,0.00039841674,0.0007975003,0.000058747686,0.00007987726,0.0004877461,1.0767883e-7],"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":[0.00012301562,0.000381955,0.64500546,0.000041503954,0.00006132857,0.00015319545,0.024687547,0.0024075108,0.000018090304,4.2382575e-7,0.00002195564,0.32709804],"study_design_scores_gemma":[0.00031909984,0.0016999749,0.7932943,0.000036949343,0.00003563839,0.0004015653,0.2009989,0.0017961236,0.0000087907365,0.000012467793,0.0012815159,0.000114654365],"about_ca_topic_score_codex":0.04950232,"about_ca_topic_score_gemma":0.0227082,"teacher_disagreement_score":0.32698336,"about_ca_system_score_codex":0.000006602218,"about_ca_system_score_gemma":0.00004633561,"threshold_uncertainty_score":0.9951248},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963925,0.00045560207,0.000071509894,0.0016365714,0.00013126577,0.00037407214,0.000005654455,0.000066564855,0.0008662927],"genre_scores_gemma":[0.9669584,0.000051566956,0.031570032,0.001162233,0.00011127034,0.000005751592,0.000034016175,0.000008858334,0.00009785837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997801,0.00019459827,0.00037181913,0.00044757922,0.000547968,0.0006370503],"domain_scores_gemma":[0.99888474,0.00035567553,0.00024181724,0.00030671575,0.000052070307,0.00015897282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071135524,0.00022518408,0.0003397089,0.000039715338,0.00042235947,0.000083821535,0.0002970965,0.00007469397,0.00019040065],"category_scores_gemma":[0.00007402524,0.00013574284,0.00012064679,0.000951309,0.00037797092,0.00010555675,0.00008711438,0.0005844268,0.000009807468],"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":[0.00028191783,0.00010850249,0.6693711,0.000026605281,0.00003085445,0.0001612618,0.0016508144,0.03894967,0.00007152579,7.025055e-7,0.00010112234,0.2892459],"study_design_scores_gemma":[0.00024222268,0.00091606774,0.96405363,0.000054712877,0.000024550882,0.00008906875,0.0039489344,0.0051086606,0.000008498359,0.00007970327,0.025188742,0.00028520523],"about_ca_topic_score_codex":0.024470367,"about_ca_topic_score_gemma":0.00077275216,"teacher_disagreement_score":0.2946825,"about_ca_system_score_codex":0.000025338113,"about_ca_system_score_gemma":0.00006442157,"threshold_uncertainty_score":0.98202574},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901444,0.000055960038,0.0016718098,0.0036808273,0.0005427651,0.00008465861,0.00002776687,0.000010182359,0.0037816842],"genre_scores_gemma":[0.99838537,0.00003188705,0.001178459,0.0002266891,0.000028754817,4.2357462e-7,0.00006325844,6.6404516e-7,0.00008448918],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99928284,0.000015902611,0.000356434,0.000027996592,0.00025599002,0.000060814305],"domain_scores_gemma":[0.999163,0.00011825091,0.00047554588,0.000049760245,0.00018137062,0.000012104702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038525992,0.000043242704,0.000074502874,0.00022250366,0.00011425515,0.000019748524,0.0002649087,0.00002241689,0.00013672478],"category_scores_gemma":[0.00009331995,0.000024363184,0.00003882735,0.00011154458,0.000029230565,0.00019553454,0.000011041827,0.00013699282,0.000018900717],"study_design_candidate":"design_other","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":[0.0009993489,0.0000594861,0.01885868,0.000019269033,0.00019736277,0.0000025156482,0.001639033,0.06171349,0.0007186148,0.010547577,0.004899992,0.9003446],"study_design_scores_gemma":[0.0021930728,0.0010633874,0.4951335,0.00007047281,0.000032950116,0.00092061615,0.0034321118,0.02731133,0.010312737,0.016987137,0.44227165,0.0002710414],"about_ca_topic_score_codex":0.000008556475,"about_ca_topic_score_gemma":0.00000539985,"teacher_disagreement_score":0.9000736,"about_ca_system_score_codex":0.000017658756,"about_ca_system_score_gemma":0.00004682416,"threshold_uncertainty_score":0.14970404},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039281085,0.00037491688,0.0000018546395,0.00027646185,0.000595137,0.000072715746,0.000048939426,0.0000793694,0.9981578],"genre_scores_gemma":[0.0025429516,0.0005014845,0.00017314717,0.0007111152,0.00021138896,1.6997266e-8,0.00036603477,0.0000070358706,0.9954868],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991814,0.0000124273965,0.00013163759,0.0002446403,0.0002733584,0.00015653651],"domain_scores_gemma":[0.99956524,0.000056832494,0.000048206475,0.00022017895,0.000011486474,0.00009804262],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00010179361,0.0001579202,0.00018939748,0.000068075744,0.00014863352,0.000038180766,0.00013316839,0.00010965757,0.27464014],"category_scores_gemma":[0.0000040174637,0.000099831916,0.00010775904,0.000015058426,0.00003627417,0.00003804351,0.000010121091,0.0002744946,0.0054624053],"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":[0.00004620795,0.0000030997212,0.0007567708,0.0000140857155,0.000045843462,0.00017147152,0.00007933089,0.00013824253,3.756635e-7,0.003178912,0.04262066,0.952945],"study_design_scores_gemma":[0.000083896906,0.000072166586,0.0006152072,0.000009734614,0.000017802819,0.000057801935,0.000008076096,0.00022291302,0.0000017805128,0.0060569206,0.99265903,0.00019466286],"about_ca_topic_score_codex":0.003341125,"about_ca_topic_score_gemma":0.0025180662,"teacher_disagreement_score":0.9527503,"about_ca_system_score_codex":0.0000024701435,"about_ca_system_score_gemma":0.000047049743,"threshold_uncertainty_score":0.995312},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58598715,0.00006952524,0.41124645,0.0015524832,0.00031840595,0.00042016662,0.00005597003,0.000043928525,0.00030591345],"genre_scores_gemma":[0.94506717,0.000010683032,0.05442714,0.00022522369,0.00006474398,1.228154e-7,0.00011975105,0.000004227108,0.000080945974],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983966,0.0006322686,0.00018567404,0.000230797,0.00039492114,0.00015977652],"domain_scores_gemma":[0.9994816,0.00016642651,0.00015516246,0.000121588455,0.000031764816,0.00004345264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012428673,0.000118263444,0.0001576169,0.00010011842,0.00045853353,0.000038118695,0.00005988176,0.000040212184,0.00030616796],"category_scores_gemma":[0.000019149116,0.00007932466,0.00007564942,0.00014714958,0.000042795757,0.00007018801,0.000010823083,0.00021717766,0.0000033806184],"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":[0.002190205,0.00006369131,0.00013588207,0.000035039753,0.00003670154,0.000030875868,0.00056547695,0.05193004,0.031275753,0.00010397035,0.00022476158,0.9134076],"study_design_scores_gemma":[0.002165107,0.00023745216,0.035146743,0.000026529568,0.00004978274,0.00004133064,0.00021032104,0.96081483,0.00058150286,0.00038447065,0.00024553912,0.000096359865],"about_ca_topic_score_codex":0.004602175,"about_ca_topic_score_gemma":0.0003790579,"teacher_disagreement_score":0.91331124,"about_ca_system_score_codex":0.000011413856,"about_ca_system_score_gemma":0.000019055069,"threshold_uncertainty_score":0.6957143},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9442436,0.03138712,7.1432663e-7,0.007873026,0.00040598484,0.0004464015,0.00004648118,0.000008780179,0.015587866],"genre_scores_gemma":[0.997183,0.002015991,0.0000033484223,0.00016063439,0.000051998126,7.953381e-7,0.0000056205163,0.0000017883785,0.0005768169],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992815,0.00025031687,0.000120551274,0.000092183494,0.0001526479,0.00010279781],"domain_scores_gemma":[0.999528,0.00014577825,0.000103600185,0.0001866408,0.00001719554,0.00001881493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041578608,0.00007734651,0.00012027358,0.000019681594,0.0002486666,0.000016855109,0.00015498916,0.00004959551,0.0000046522077],"category_scores_gemma":[0.00003434427,0.000023771856,0.00004793413,0.00014328735,0.00077765755,0.000044733402,0.000016563896,0.00013497807,5.9193934e-7],"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":[0.00029476517,0.000049973456,0.22561526,0.00021908211,0.00009755942,0.000008632295,0.2612304,0.000022132857,0.0001600236,0.004375717,0.026935307,0.48099113],"study_design_scores_gemma":[0.00031570287,0.00005785262,0.9217721,0.000066460794,0.00004162949,0.000011304496,0.00514894,0.0005046358,0.000023407232,0.00067467126,0.07132741,0.00005588326],"about_ca_topic_score_codex":0.0022708885,"about_ca_topic_score_gemma":0.015366423,"teacher_disagreement_score":0.69615686,"about_ca_system_score_codex":0.0000030371752,"about_ca_system_score_gemma":0.000014438528,"threshold_uncertainty_score":0.8574825},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99585766,0.0033961104,0.0000061913333,0.00033018354,0.00007318049,0.0000943349,0.0000034849318,0.0000061781875,0.00023267532],"genre_scores_gemma":[0.9974159,0.0023744626,0.000001229832,0.000030357685,0.00007810677,1.8001512e-7,0.0000012435282,0.0000027208612,0.000095777876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988385,0.00014780057,0.00013002021,0.00011489492,0.00012711219,0.0006416981],"domain_scores_gemma":[0.9997238,0.00012241623,0.0000336825,0.00007233348,0.000007735561,0.000040053324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081668,0.00008752517,0.00013223951,0.00007190894,0.00018043283,0.000032533157,0.000047182984,0.000041173986,0.0000019753286],"category_scores_gemma":[0.000024689149,0.000041504176,0.00003064698,0.00013828962,0.00011648874,0.000055215864,0.000011777329,0.0004916133,0.0000014831365],"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":[0.00058159145,0.0000039947695,0.9617148,0.000027858288,0.000023682109,0.000010461762,0.0009319289,0.00019171175,0.000011232297,0.00020829434,0.000012565336,0.0362819],"study_design_scores_gemma":[0.0016327921,0.00024856164,0.976963,0.00007806869,0.000016110462,0.0003001565,0.0004192634,0.012140113,0.000013512047,0.008129636,0.0000090487065,0.000049752118],"about_ca_topic_score_codex":0.0021923373,"about_ca_topic_score_gemma":0.06604229,"teacher_disagreement_score":0.06384995,"about_ca_system_score_codex":0.000022047712,"about_ca_system_score_gemma":0.000059955855,"threshold_uncertainty_score":0.951},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98879784,0.000059161863,0.0064804954,0.0011266182,0.00025797763,0.000350691,0.00046083413,0.0002307674,0.0022356166],"genre_scores_gemma":[0.9960739,0.000026353793,0.0015852014,0.00014828316,0.00014684384,6.747168e-8,0.0019198772,0.0000053093418,0.00009413942],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906784,0.0000964749,0.00019320459,0.00017913325,0.0002835236,0.00017979096],"domain_scores_gemma":[0.99966615,0.000078620295,0.00008288331,0.00008616043,0.00003126598,0.000054891472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026431255,0.000111116635,0.00012389876,0.00011655887,0.00012095647,0.000035235393,0.000041656345,0.00004315497,0.00017512916],"category_scores_gemma":[0.000007822289,0.00009206928,0.000047761376,0.0001940197,0.00003747967,0.00017655849,0.000002526864,0.000060645554,0.00009661759],"study_design_candidate":"design_other","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":[0.00061080744,0.00003302431,0.0050774566,0.00016181916,0.00005511128,0.000040231116,0.0010021002,0.023261864,0.038500488,0.0000029350772,0.0063727237,0.92488146],"study_design_scores_gemma":[0.00036822958,0.00041352425,0.14851229,0.00011386096,0.000020926082,0.000004097368,0.000029527622,0.8439478,0.005920628,0.000072432296,0.0004994052,0.00009722846],"about_ca_topic_score_codex":0.00045005695,"about_ca_topic_score_gemma":0.00006367603,"teacher_disagreement_score":0.9247842,"about_ca_system_score_codex":0.0000052799264,"about_ca_system_score_gemma":0.000010319258,"threshold_uncertainty_score":0.37544763},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98548234,0.000013576403,0.009494744,0.0027008564,0.00008139374,0.00027008494,0.00009281659,0.00016849782,0.001695723],"genre_scores_gemma":[0.98861754,0.000006098065,0.010675939,0.00017216221,0.00003130098,6.453228e-7,0.00045257452,0.0000038716744,0.0000398535],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991601,0.000102784994,0.00018293469,0.00019886922,0.00017655606,0.00017877086],"domain_scores_gemma":[0.99965763,0.00011526603,0.000074804,0.00008740772,0.000029277218,0.00003562447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043220152,0.00009427427,0.00013877415,0.00039403976,0.000041329502,0.00001991144,0.00007515966,0.00009103195,0.00045975577],"category_scores_gemma":[0.000036339483,0.00007477432,0.000036192076,0.0007150773,0.000028473181,0.00008599001,0.0000035267349,0.0001307476,0.000041673964],"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":[0.0007646883,0.00017858423,0.09669365,0.00012594071,0.00004078814,0.000110158835,0.0007886873,0.061954137,0.04249298,0.000043501674,0.0054626362,0.7913442],"study_design_scores_gemma":[0.0009215235,0.0004210697,0.15349437,0.00010470835,0.000016078086,0.0000057408506,0.00014009023,0.8245685,0.018699415,0.0009005103,0.0005639598,0.00016399763],"about_ca_topic_score_codex":0.00050984335,"about_ca_topic_score_gemma":0.00022246329,"teacher_disagreement_score":0.79118025,"about_ca_system_score_codex":0.0000051945985,"about_ca_system_score_gemma":0.000022797278,"threshold_uncertainty_score":0.5034003},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10652209,0.00013293039,0.8915688,0.0001264523,0.00027325898,0.00013294004,0.00067205646,0.00027716116,0.00029431944],"genre_scores_gemma":[0.9590913,0.00016755317,0.035336778,0.000027013784,0.00016014134,8.9654515e-7,0.004915253,0.000011744703,0.00028929109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867296,0.000032112726,0.0002555253,0.00050893036,0.00025869807,0.0002717504],"domain_scores_gemma":[0.99874485,0.00040767112,0.00002753512,0.0006131753,0.000031828313,0.0001749276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012754215,0.00014176953,0.00022525515,0.00022469908,0.0001149605,0.00013414204,0.00029337595,0.00005929357,0.00009461289],"category_scores_gemma":[0.00012247439,0.000114600494,0.00002973147,0.0007799812,0.000015707563,0.00015889363,0.000098171455,0.00012361998,0.00015839832],"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":[0.000007384807,0.0000106174375,0.0016721751,0.0000504057,0.00013869476,0.0000016337325,0.00009538103,0.99203384,0.000014966585,0.00002113205,0.00018359358,0.0057701604],"study_design_scores_gemma":[0.00004513968,0.000019683524,0.010658368,0.000035131503,0.00007934634,0.0000050593435,0.000008916641,0.98770744,0.000009324442,0.0006289698,0.00064499874,0.00015760522],"about_ca_topic_score_codex":0.0009821818,"about_ca_topic_score_gemma":0.00025368182,"teacher_disagreement_score":0.856232,"about_ca_system_score_codex":0.000003953179,"about_ca_system_score_gemma":0.000011819261,"threshold_uncertainty_score":0.46732727},"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":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002549868,0.9847754,0.00003802552,0.00048101734,0.0007469396,0.00088658667,0.0010520538,0.00006186866,0.009408223],"genre_scores_gemma":[0.003326364,0.994125,0.0002851233,0.00014189602,0.00016456163,0.0000042590686,0.0018184595,0.000006142095,0.00012817679],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99795634,0.0004060144,0.0007701929,0.00036205145,0.00035357985,0.00015183749],"domain_scores_gemma":[0.9970656,0.0018264988,0.00083922676,0.00006965425,0.00014931797,0.000049690632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009256993,0.0002245946,0.00085561565,0.00021530784,0.000039121474,0.000041904972,0.0001595933,0.00024120383,0.000032761836],"category_scores_gemma":[0.00037765122,0.00015688286,0.00016761995,0.0002813766,0.00001701566,0.000050686285,0.000014770797,0.00023221753,0.000037887705],"study_design_candidate":"design_other","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":[0.000021790493,0.000058846676,0.012410655,0.0045811734,0.00028121672,0.000017721593,0.0000560104,0.0028309172,1.7554626e-7,0.00094772957,0.0004900717,0.9783037],"study_design_scores_gemma":[0.0009663844,0.0008481675,0.23518823,0.10332201,0.00044957257,0.000066675,0.000047374713,0.032237235,7.8702163e-7,0.012926606,0.61259246,0.001354488],"about_ca_topic_score_codex":0.0002666413,"about_ca_topic_score_gemma":0.0001701475,"teacher_disagreement_score":0.9769492,"about_ca_system_score_codex":0.000075001466,"about_ca_system_score_gemma":0.00010563869,"threshold_uncertainty_score":0.6397497},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99449885,0.000049829912,0.004658828,0.000046748584,0.000049004648,0.00016939406,0.00008426088,0.00006340457,0.00037966],"genre_scores_gemma":[0.9967608,0.00002374663,0.0014316575,0.00003723278,0.00017349102,4.462171e-7,0.0014509255,0.000005907516,0.00011578011],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990477,0.00005404012,0.00020590445,0.00021635141,0.00023281461,0.00024319274],"domain_scores_gemma":[0.9994976,0.00015041161,0.00014658221,0.000078619705,0.000065834276,0.000060986582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003291275,0.00011679825,0.0001485131,0.00007818134,0.000195522,0.000056421835,0.000059319344,0.00003549217,0.00013685893],"category_scores_gemma":[0.000022728815,0.00007884411,0.000046337012,0.0002598605,0.00003154096,0.00020125725,0.000005876264,0.00009064086,0.000024576264],"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":[0.00027892628,0.000041236017,0.72534806,0.00019817323,0.00007006355,0.000030221208,0.0009283029,0.15053877,0.09850848,0.000007960137,0.0006535964,0.023396207],"study_design_scores_gemma":[0.00072412204,0.00008944902,0.31097096,0.0000979653,0.000053629698,0.000012488759,0.0005046411,0.6849704,0.0012928025,0.000006130599,0.001112491,0.00016497936],"about_ca_topic_score_codex":0.00022156426,"about_ca_topic_score_gemma":0.00013421431,"teacher_disagreement_score":0.5344316,"about_ca_system_score_codex":0.000003376224,"about_ca_system_score_gemma":0.000018658277,"threshold_uncertainty_score":0.32151696},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968809,0.00066580035,0.0019179928,0.00012690213,0.00012793484,0.00022272048,0.0000398406,0.00000505197,0.000012865463],"genre_scores_gemma":[0.99801743,0.0015784295,0.000021032822,0.000024712086,0.00009707229,0.0000013028788,0.00017366745,0.0000047678177,0.00008157806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842525,0.00009759968,0.00033707896,0.00023475091,0.00033608338,0.00056924624],"domain_scores_gemma":[0.9992638,0.000044068674,0.00033143596,0.00025234802,0.000048203747,0.00006010616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007743692,0.00012932121,0.00027054123,0.00028862606,0.00008387279,0.000021237334,0.00027721483,0.000088037006,0.000018624376],"category_scores_gemma":[0.000017072123,0.00009011764,0.00006703796,0.0005764544,0.000017172499,0.000055013646,0.000016101716,0.00094506197,0.0000019136164],"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":[0.00007465408,0.000020178972,0.81237084,0.000030500452,0.00022791435,0.0000010859429,0.0017624062,0.11728359,0.00007513682,0.000002742012,0.000008209086,0.06814273],"study_design_scores_gemma":[0.00008832966,0.00016763849,0.9795348,0.00003554525,0.00025939947,0.0000057667244,0.00084276934,0.017555129,0.000113409806,0.0006921358,0.0005713142,0.00013377884],"about_ca_topic_score_codex":0.9895288,"about_ca_topic_score_gemma":0.9999481,"teacher_disagreement_score":0.16716392,"about_ca_system_score_codex":0.00027053757,"about_ca_system_score_gemma":0.0017761977,"threshold_uncertainty_score":0.41058767},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954323,0.000041780935,0.0016458872,0.00020007732,0.00007778471,0.00010186042,0.000016618962,0.000064563304,0.002419112],"genre_scores_gemma":[0.9982376,0.00002576965,0.0012331209,0.00023912458,0.00004346756,1.6145951e-7,0.00016128007,0.000003259509,0.000056205816],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928695,0.000039950683,0.00016822066,0.0001617965,0.00019399919,0.00014909166],"domain_scores_gemma":[0.9997295,0.00007309772,0.00006026779,0.000048458754,0.000029386025,0.00005927265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003141209,0.00008708453,0.00010674732,0.00012409351,0.000049592127,0.00005235706,0.00005323936,0.000028826971,0.00062647386],"category_scores_gemma":[0.000011853342,0.00006592654,0.000028835553,0.00015609142,0.000046050107,0.000112029324,0.0000040447803,0.000069316295,0.00008194122],"study_design_candidate":"design_other","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":[0.00014026287,0.000025833051,0.009325859,0.00008930904,0.000008381514,0.000016191321,0.0007985948,0.00053219334,0.00055209204,0.0000012776635,0.00036166215,0.98814833],"study_design_scores_gemma":[0.00042980656,0.00042291585,0.11378769,0.00025962645,0.000017614295,0.000004358534,0.00018447767,0.8793906,0.0045880955,0.0003122706,0.00045231293,0.00015025468],"about_ca_topic_score_codex":0.0002745721,"about_ca_topic_score_gemma":0.000029542041,"teacher_disagreement_score":0.98799807,"about_ca_system_score_codex":0.0000024519538,"about_ca_system_score_gemma":0.000016043063,"threshold_uncertainty_score":0.685945},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765643,0.00011191394,0.022071261,0.0005290427,0.00014400082,0.0001950036,0.00010592244,0.000070840804,0.00020774985],"genre_scores_gemma":[0.98587,0.000088415705,0.012657915,0.00008357974,0.0001793225,8.1252225e-8,0.0009995302,0.000003868626,0.00011729638],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990698,0.00006630957,0.00017257933,0.00026248785,0.00019285092,0.00023593288],"domain_scores_gemma":[0.9995864,0.00019259339,0.000058921483,0.000065442975,0.000025978412,0.000070660906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047135525,0.000114029164,0.00016155247,0.00036883674,0.00018238208,0.000067872286,0.00003324721,0.00007556981,0.0001313988],"category_scores_gemma":[0.000020212188,0.000095304924,0.00008632834,0.000550654,0.000023565157,0.00013410309,0.0000033036538,0.000099283985,0.000012642444],"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":[0.00072203594,0.00006440607,0.063755795,0.00010632338,0.00026889044,0.0001764177,0.0014639784,0.19357078,0.009763096,0.000009015469,0.0045808167,0.72551847],"study_design_scores_gemma":[0.00040281826,0.000034592733,0.41876104,0.000013477464,0.000046737707,0.000008809793,0.00008023207,0.58008844,0.000025180903,0.00006389401,0.00039951928,0.000075272386],"about_ca_topic_score_codex":0.00053042895,"about_ca_topic_score_gemma":0.0030981656,"teacher_disagreement_score":0.7254432,"about_ca_system_score_codex":0.0000065164045,"about_ca_system_score_gemma":0.00001463511,"threshold_uncertainty_score":0.3886422},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981799,0.0006730212,0.00009081945,0.00023352038,0.0005550081,0.00005663271,0.000004987738,0.0000137397365,0.00019235395],"genre_scores_gemma":[0.99881464,0.00020431587,0.00030396366,0.000011864154,0.0004145878,2.171266e-7,0.00002183971,0.000002279883,0.00022630864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913204,0.00002659845,0.00026974152,0.0000944656,0.00031706446,0.00016008347],"domain_scores_gemma":[0.9991422,0.00012755107,0.00015194726,0.00002694981,0.00048022065,0.00007109696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053814927,0.00007793467,0.00012429651,0.0003251808,0.00009696668,0.00006616807,0.00006918656,0.000040801642,0.00001812995],"category_scores_gemma":[0.00014998743,0.00006229717,0.000022092207,0.00013599826,0.000034183333,0.00035420634,0.000021317912,0.0001024452,8.513604e-7],"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":[0.00014145457,0.000005712962,0.9592419,0.000053501746,0.000058166792,0.00030819877,0.0057510063,0.00068183057,0.000004145537,0.000016106153,0.00015306118,0.03358491],"study_design_scores_gemma":[0.0003134657,0.000052032035,0.9785718,0.00010440755,0.000008486902,0.000060657105,0.015417748,0.0007063878,0.000114931085,0.00032545035,0.004261271,0.00006338547],"about_ca_topic_score_codex":0.00019750142,"about_ca_topic_score_gemma":0.0000037598425,"teacher_disagreement_score":0.03352153,"about_ca_system_score_codex":0.000020455864,"about_ca_system_score_gemma":0.00011351013,"threshold_uncertainty_score":0.25404048},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99508864,0.0016308237,0.00067148596,0.00031349348,0.00067164545,0.0002717857,0.000160415,0.000026013922,0.0011656851],"genre_scores_gemma":[0.9894572,0.0065523325,0.00067435624,0.00009125025,0.00058968837,1.6289127e-7,0.0015447753,0.000018951167,0.0010712862],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99693507,0.00026467224,0.0003476702,0.0006311441,0.00032472788,0.0014966979],"domain_scores_gemma":[0.99905205,0.00009218676,0.0002415839,0.00047939914,0.000020334943,0.00011442538],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0028653017,0.00025427315,0.00038389047,0.00027367726,0.0003593091,0.00040052773,0.0008297618,0.00022671308,0.000027707736],"category_scores_gemma":[0.000049198552,0.0002108011,0.00004544234,0.0001721176,0.00005517392,0.000258212,0.00054447673,0.0026160306,0.000035355144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010473296,0.00006995095,0.55189687,0.00015010251,0.0004980791,0.000167037,0.0007077817,0.3919138,0.000011937831,0.00019117857,0.0022629146,0.051083],"study_design_scores_gemma":[0.0022372305,0.00029231558,0.38523456,0.000834186,0.0000983528,0.0013670484,0.0011698672,0.57068074,0.0000015476335,0.033516776,0.0035865589,0.0009808076],"about_ca_topic_score_codex":0.029434752,"about_ca_topic_score_gemma":0.017697928,"teacher_disagreement_score":0.17876695,"about_ca_system_score_codex":0.00026033085,"about_ca_system_score_gemma":0.001025821,"threshold_uncertainty_score":0.999685},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997081,0.00067182747,0.00026728012,0.00065831654,0.0005528538,0.00004994934,0.000004179977,0.0000135624605,0.00070102874],"genre_scores_gemma":[0.9985716,0.00019491086,0.00021080163,0.0001226395,0.00023589119,1.4082892e-7,0.00004812267,0.00000411066,0.0006118328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890745,0.000029901921,0.0002965004,0.00013652642,0.0003381222,0.0002914769],"domain_scores_gemma":[0.9993779,0.00014935267,0.00015856278,0.00003745622,0.00016649548,0.00011020719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062096264,0.00011967446,0.00017774348,0.00065498234,0.000107892694,0.0001624838,0.00014019577,0.000051332485,0.000050320752],"category_scores_gemma":[0.00013042084,0.000096816344,0.000020997402,0.00017775205,0.000026911179,0.00020154448,0.000032249052,0.00018170386,0.0000032343569],"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":[0.00009103614,0.000005462169,0.91556776,0.000022000508,0.000061548766,0.0026277753,0.0049068076,0.00045735738,0.0000091630345,0.0000115228195,0.00059815653,0.07564143],"study_design_scores_gemma":[0.00068144454,0.00006561609,0.95068824,0.0002417758,0.000009245023,0.00020410148,0.025576321,0.0072519947,0.00012433801,0.00022974382,0.01474672,0.0001804441],"about_ca_topic_score_codex":0.0020537805,"about_ca_topic_score_gemma":0.000797553,"teacher_disagreement_score":0.075460985,"about_ca_system_score_codex":0.00003730652,"about_ca_system_score_gemma":0.00009788437,"threshold_uncertainty_score":0.39480558},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99812734,0.000042751464,0.0004574705,0.0003103203,0.000111467394,0.000041657855,0.000026514494,0.00004473443,0.00083772297],"genre_scores_gemma":[0.9989134,0.000023570976,0.00014896547,0.0000043713294,0.00001816588,9.388423e-9,0.000040267078,0.000001012966,0.0008502269],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995939,0.00003640927,0.00006321553,0.000116232564,0.000100525336,0.00008967747],"domain_scores_gemma":[0.99978113,0.000051055416,0.000029248631,0.00008822481,0.000012043032,0.000038308423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009474728,0.000042517193,0.00006257327,0.000065776854,0.000056389905,0.000017356815,0.00003281914,0.000039780625,0.00007583937],"category_scores_gemma":[0.000024615078,0.000030724754,0.000013997842,0.00019166844,0.00004397897,0.0000706048,0.0000037788532,0.000059617956,0.000021156784],"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":[0.00008945252,0.00001075685,0.62303275,0.00006672112,0.000023277398,0.0000053972494,0.0005666205,0.00207329,0.027642334,0.0005684857,0.0014299434,0.344491],"study_design_scores_gemma":[0.000051164927,0.00001679624,0.8150141,0.0000031080938,0.0000033646988,0.0000032771152,0.000038148006,0.18319836,0.00029355654,0.0012207177,0.00012332549,0.000034077337],"about_ca_topic_score_codex":0.0012825943,"about_ca_topic_score_gemma":0.002290897,"teacher_disagreement_score":0.3444569,"about_ca_system_score_codex":0.0000021318817,"about_ca_system_score_gemma":0.0000133994645,"threshold_uncertainty_score":0.19389074},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99733454,0.000032314016,0.0016282207,0.00021406847,0.00007978246,0.0005737275,0.0000052466967,0.00006319329,0.000068896225],"genre_scores_gemma":[0.9977299,0.00001343315,0.002003051,0.00001940108,0.00014863124,2.2590575e-7,0.00000806908,0.000006989943,0.00007029295],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999006,0.00007843108,0.00022917922,0.00023810628,0.00020660365,0.00024173612],"domain_scores_gemma":[0.99965554,0.000060563456,0.00007349723,0.00013689915,0.000021829655,0.00005164008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003914979,0.00012848707,0.00014434359,0.00006679987,0.00033874583,0.00006557288,0.00006788015,0.000037619327,0.000010404742],"category_scores_gemma":[0.000007026919,0.00007313499,0.000042832646,0.0000865886,0.00005807871,0.0000816117,0.0000196966,0.00007761319,0.0000024151113],"study_design_candidate":"design_other","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":[0.00009951344,0.0000438956,0.021939559,0.000108284585,0.00003939016,0.0005017843,0.007824529,0.00061515684,0.0062820157,1.4428242e-7,0.000111247355,0.9624345],"study_design_scores_gemma":[0.0047563007,0.0035515826,0.15911508,0.000818426,0.00058541406,0.003242988,0.039363235,0.6853679,0.09562666,0.00070236984,0.0055101374,0.0013599568],"about_ca_topic_score_codex":0.0012145268,"about_ca_topic_score_gemma":0.00019237734,"teacher_disagreement_score":0.96107453,"about_ca_system_score_codex":0.000005395781,"about_ca_system_score_gemma":0.000009488493,"threshold_uncertainty_score":0.29823583},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99275637,0.000008860181,0.000003528384,0.0008830637,0.0000833482,0.00022093781,0.0000026641399,0.00002941313,0.0060118143],"genre_scores_gemma":[0.9991339,0.0000040006125,0.000012974887,0.00004199929,0.000025681164,2.1883628e-7,0.000012254952,0.0000013398688,0.0007676472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994087,0.000098957455,0.00012764872,0.00009977451,0.00014858409,0.00011632694],"domain_scores_gemma":[0.99947405,0.0003068155,0.000029278337,0.00015559736,0.000009659427,0.000024596397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027714568,0.000052441213,0.00007394377,0.000062375264,0.000042156178,0.000014019807,0.00009774882,0.00002359565,0.00008182593],"category_scores_gemma":[0.00006806722,0.000026633357,0.000017143933,0.00026471075,0.000032079457,0.000032502205,0.0000053800486,0.000082026505,0.00023602216],"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":[0.00043627794,0.00013301369,0.9136137,0.000014249553,0.00001076105,0.000044903205,0.0014498563,0.0036588658,0.000110022476,0.00022505502,0.0016904037,0.0786129],"study_design_scores_gemma":[0.00012794267,0.0004064088,0.93831855,0.000014495945,0.00000309009,0.0000019056374,0.0036827882,0.05723476,0.000017059136,0.000107222535,0.000048200494,0.00003756888],"about_ca_topic_score_codex":0.00056575425,"about_ca_topic_score_gemma":0.0012835027,"teacher_disagreement_score":0.07857533,"about_ca_system_score_codex":0.0000015972596,"about_ca_system_score_gemma":0.000022926957,"threshold_uncertainty_score":0.3033666},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99927735,0.00006454748,0.000117744356,0.0000880271,0.00016630038,0.000052619216,0.00007653255,0.0000061940814,0.00015070038],"genre_scores_gemma":[0.9991488,0.00029399715,0.00037886854,0.000083499515,0.000054319335,2.171825e-8,0.000024699668,0.0000011258122,0.0000146978655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991338,0.000022923068,0.00041572904,0.00003675832,0.00021794398,0.00017282406],"domain_scores_gemma":[0.9995978,0.00004034076,0.0001987497,0.000037429334,0.000005073842,0.000120594654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029727374,0.000081229315,0.0001742592,0.000091078015,0.00006626205,0.0000484327,0.000073951815,0.000039884802,0.000046426634],"category_scores_gemma":[0.000047641854,0.00006034468,0.000026806454,0.00013275565,0.000019000488,0.00028504117,0.000016733575,0.00012232129,0.000048863796],"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":[0.00003883764,0.000005888487,0.94196165,0.000009811833,0.000009492001,0.00002836502,0.0008420788,0.0005472456,0.0000301978,0.00000410622,0.000026288788,0.05649607],"study_design_scores_gemma":[0.00024806664,0.00014188659,0.94571704,0.000058221012,0.0000071623276,0.00010952569,0.000361294,0.05297727,0.000013625121,0.00003430967,0.00025974258,0.00007186305],"about_ca_topic_score_codex":0.000024613973,"about_ca_topic_score_gemma":0.000032709133,"teacher_disagreement_score":0.056424208,"about_ca_system_score_codex":0.000013594158,"about_ca_system_score_gemma":0.000007960813,"threshold_uncertainty_score":0.24607845},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99604654,0.00002655075,0.0019768393,0.00015071507,0.00020695757,0.0001005026,0.000027907603,0.00013725701,0.0013267269],"genre_scores_gemma":[0.99482065,0.00003419425,0.0030788074,0.00010562918,0.00008936241,1.628346e-8,0.00062639825,0.0000058759324,0.0012390596],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988768,0.00008853384,0.00020167163,0.0003572147,0.00017768705,0.0002981053],"domain_scores_gemma":[0.9992334,0.0001622237,0.000058702943,0.0004476048,0.000018742001,0.000079295714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046546396,0.000107749365,0.00013371254,0.00015421421,0.000114055554,0.0000989053,0.00019052814,0.00007830129,0.0001309084],"category_scores_gemma":[0.0001464776,0.00008232695,0.000020550337,0.0004723996,0.000028304314,0.00022485349,0.000026756381,0.00013857444,0.00035000133],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033020766,0.000008864396,0.90018404,0.000021786173,0.000005754182,0.00003540309,0.0001486174,0.009847423,0.0010504128,5.849234e-7,0.00019475534,0.08846931],"study_design_scores_gemma":[0.00025285623,0.000008110686,0.429411,0.000010352329,0.000004756599,0.00001182291,0.00007485342,0.56924105,0.000014591445,0.0000041449507,0.00088885095,0.000077611],"about_ca_topic_score_codex":0.02376483,"about_ca_topic_score_gemma":0.017207354,"teacher_disagreement_score":0.55939364,"about_ca_system_score_codex":0.0000059563695,"about_ca_system_score_gemma":0.000048562117,"threshold_uncertainty_score":0.982736},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9439531,0.00009800313,0.05429515,0.00015367972,0.00028232738,0.00046871562,0.000029899184,0.0003346963,0.00038442324],"genre_scores_gemma":[0.99230254,0.00017574526,0.0063350466,0.00018744823,0.00028351496,0.0000069443868,0.00043573047,0.000011674189,0.0002613847],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870884,0.000058887337,0.00023691106,0.00028165826,0.00025619264,0.0004575072],"domain_scores_gemma":[0.9995272,0.00012686389,0.00008466268,0.00009973277,0.0000513556,0.0001101707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047259108,0.00017694234,0.00019393659,0.00018746349,0.0003396323,0.000090665155,0.00009864099,0.00007275829,0.00024539002],"category_scores_gemma":[0.000014692518,0.00014549767,0.000090700436,0.00031714133,0.00003437712,0.00021121402,0.000005029899,0.00013894,0.00018143945],"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":[0.0003366099,0.000012308163,0.0026585897,0.000049691254,0.000018501967,0.0000049042665,0.0003228115,0.4652493,0.00061322894,0.0000014967868,0.000026420203,0.5307061],"study_design_scores_gemma":[0.0014507404,0.00032291713,0.038608134,0.000024570612,0.000032505992,0.000001883085,0.00003914789,0.9570208,0.0010771296,0.00004317987,0.0011796689,0.0001992804],"about_ca_topic_score_codex":0.00027415095,"about_ca_topic_score_gemma":0.00030529295,"teacher_disagreement_score":0.53050685,"about_ca_system_score_codex":0.00000858603,"about_ca_system_score_gemma":0.000022180933,"threshold_uncertainty_score":0.5933223},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985169,0.00059239287,0.000041197014,0.0005177035,0.00012928103,0.00007725634,0.000015865986,0.000004060329,0.00010529818],"genre_scores_gemma":[0.9968581,0.002514857,0.00052149675,0.00002167087,0.000049653318,1.2339503e-7,0.0000013397861,0.0000012294008,0.000031514388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876773,0.000025355765,0.00023101205,0.00023016772,0.00046800094,0.0002777158],"domain_scores_gemma":[0.99956226,0.00005463645,0.00012209614,0.00006425039,0.000009877846,0.00018686418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096758956,0.00008906035,0.00014675701,0.00039182336,0.0002912377,0.000111603455,0.00019338865,0.000025494557,0.00004345897],"category_scores_gemma":[0.000034097462,0.00006272594,0.000018081584,0.0007686239,0.0012492391,0.0003942393,0.00003427314,0.000077614866,0.000022417238],"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":[0.0000452702,0.000014111379,0.5946943,0.000010919231,0.000002118491,0.000015789861,0.0010008222,0.00754368,0.041126285,0.0000030196697,0.0000030506828,0.3555406],"study_design_scores_gemma":[0.000051625757,0.00027235658,0.9685243,0.000040849296,0.000003358838,0.00006361667,0.0021445984,0.011058285,0.017429397,0.00018709715,0.00012604248,0.00009849078],"about_ca_topic_score_codex":0.00040781437,"about_ca_topic_score_gemma":0.0005899268,"teacher_disagreement_score":0.37382996,"about_ca_system_score_codex":0.0000044639482,"about_ca_system_score_gemma":0.000021951773,"threshold_uncertainty_score":0.46028733},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968665,0.000014731118,0.00029928112,0.00014088438,0.0002637453,0.000108666056,0.000013131945,0.00009487384,0.0021981827],"genre_scores_gemma":[0.99932605,0.000009726514,0.00017160414,0.00008959455,0.00021707485,2.1314037e-7,0.00008859609,0.0000062723007,0.00009085752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887323,0.00008319189,0.00020055592,0.00023207927,0.00023023665,0.00038067324],"domain_scores_gemma":[0.99973977,0.000055045868,0.000029142439,0.000090890324,0.00001243106,0.00007270486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041450124,0.00013112502,0.00013595422,0.00022314138,0.00016079379,0.00008562156,0.000068840316,0.000052929125,0.00055350125],"category_scores_gemma":[0.0000057851958,0.00008893099,0.000054633452,0.00019441514,0.000022349292,0.00011594814,0.000006761595,0.00014000223,0.00039614577],"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":[0.000867727,0.00011302254,0.077592365,0.00008458003,0.000080096834,0.00055635266,0.0057948134,0.6021387,0.065870315,0.000007237893,0.0003332911,0.24656151],"study_design_scores_gemma":[0.0010702413,0.00025913308,0.14344671,0.0001001161,0.000022283544,0.000025091487,0.0008678763,0.83952343,0.012831249,0.00009908257,0.0014047979,0.00034997347],"about_ca_topic_score_codex":0.0010956285,"about_ca_topic_score_gemma":0.00066084706,"teacher_disagreement_score":0.24621154,"about_ca_system_score_codex":0.000008284914,"about_ca_system_score_gemma":0.000011550079,"threshold_uncertainty_score":0.60604507},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826382,0.014924913,0.0000032120417,0.00010887667,0.00031308774,0.00044649714,0.00005917456,0.000009463468,0.0014965842],"genre_scores_gemma":[0.9956178,0.0041552037,0.000019317886,0.00006502029,0.00009518308,5.6930924e-7,0.000008405631,0.000009183222,0.00002932587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974228,0.0007491744,0.0007407233,0.000283091,0.00057283766,0.00023137266],"domain_scores_gemma":[0.99782187,0.00077947095,0.0007693236,0.0003023564,0.00012525317,0.0002017381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014182394,0.00022362375,0.00083221606,0.00024910804,0.0001873704,0.00019243399,0.00085762155,0.000077794975,0.00086626713],"category_scores_gemma":[0.00036894475,0.00013429477,0.00011773952,0.00053399545,0.00019192914,0.0005129444,0.00010767994,0.00034048385,0.0000024709927],"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":[0.0013070955,0.00012916485,0.7138825,0.0001973009,0.00037471025,0.000017439437,0.0014701987,0.00073250977,0.04513986,0.000004353725,0.0011347528,0.23561011],"study_design_scores_gemma":[0.00092676503,0.0003588167,0.93994045,0.00011289727,0.00013875727,0.000008963584,0.00034729167,0.00044446992,0.056336932,0.00012786943,0.0010996275,0.00015716067],"about_ca_topic_score_codex":0.0075069126,"about_ca_topic_score_gemma":0.0008826793,"teacher_disagreement_score":0.23545295,"about_ca_system_score_codex":0.000004240514,"about_ca_system_score_gemma":0.00007371003,"threshold_uncertainty_score":0.9991022},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99813,0.00009680953,0.000037323516,0.00007062385,0.00006605172,0.00015121953,0.0000594001,0.000007483791,0.0013810559],"genre_scores_gemma":[0.9983462,0.000030546245,0.0015705519,0.000010612167,0.000011724459,9.920765e-8,0.000017919547,8.878271e-7,0.000011448692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990937,0.000113364855,0.0001492206,0.0001986857,0.0002963518,0.00014869223],"domain_scores_gemma":[0.999565,0.000060148242,0.00010020593,0.00015881303,0.0000765309,0.000039291117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018553464,0.000066919114,0.00011638421,0.000041839186,0.00012955713,0.000019021014,0.00016063798,0.00002815276,0.000016452184],"category_scores_gemma":[0.000108092405,0.000038127004,0.000016687274,0.00026474445,0.00058361737,0.0002296233,0.000019678355,0.00004771146,5.1419676e-7],"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":[0.00003916948,0.000058071786,0.9575787,0.000011066077,0.0000022169602,4.909013e-7,0.0026943723,0.0017037845,0.00035853445,0.000018559527,0.000007663337,0.03752737],"study_design_scores_gemma":[0.00009111511,0.00013227669,0.6936784,0.0000073369997,0.000008639226,0.000005521325,0.0005849567,0.30265433,0.0005277117,0.002265831,0.0000032332814,0.00004068503],"about_ca_topic_score_codex":0.021213723,"about_ca_topic_score_gemma":0.026668003,"teacher_disagreement_score":0.30095056,"about_ca_system_score_codex":0.0000017894224,"about_ca_system_score_gemma":0.00010071394,"threshold_uncertainty_score":0.99109274},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7401664,0.1061716,0.004589237,0.0075538657,0.0139067015,0.0049665016,0.08162608,0.0015403447,0.039479222],"genre_scores_gemma":[0.796226,0.011096252,0.048759084,0.00039001528,0.0025200567,0.000004374372,0.12373988,0.000054199583,0.017210113],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819326,0.00006753238,0.00044404197,0.0007052367,0.0003031593,0.00028677055],"domain_scores_gemma":[0.99836886,0.00021880775,0.00017778439,0.0010293226,0.00010173318,0.00010349768],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006027957,0.00024393867,0.000616186,0.0005125814,0.00008516131,0.00015919277,0.00052644993,0.00022418896,0.0010094949],"category_scores_gemma":[0.000097788965,0.00017740208,0.00025244558,0.0004740154,0.00008100096,0.00013162899,0.00025581557,0.0002292503,0.00015494204],"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":[0.0010999681,0.00016325823,0.20384121,0.008023708,0.024546402,0.00016988975,0.010074608,0.05860536,0.00019141872,0.0001128277,0.07331087,0.6198605],"study_design_scores_gemma":[0.00012436225,0.000033135457,0.10387419,0.0001664874,0.0026749768,0.0000036812598,0.00020903775,0.8716112,0.000045490317,0.00037346556,0.02056347,0.0003205511],"about_ca_topic_score_codex":0.0074039632,"about_ca_topic_score_gemma":0.02289113,"teacher_disagreement_score":0.8130058,"about_ca_system_score_codex":0.000002922515,"about_ca_system_score_gemma":0.000062605475,"threshold_uncertainty_score":0.99990374},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7401664,0.1061716,0.004589237,0.0075538657,0.0139067015,0.0049665016,0.08162608,0.0015403447,0.039479222],"genre_scores_gemma":[0.796226,0.011096252,0.048759084,0.00039001528,0.0025200567,0.000004374372,0.12373988,0.000054199583,0.017210113],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819326,0.00006753238,0.00044404197,0.0007052367,0.0003031593,0.00028677055],"domain_scores_gemma":[0.99836886,0.00021880775,0.00017778439,0.0010293226,0.00010173318,0.00010349768],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006027957,0.00024393867,0.000616186,0.0005125814,0.00008516131,0.00015919277,0.00052644993,0.00022418896,0.0010094949],"category_scores_gemma":[0.000097788965,0.00017740208,0.00025244558,0.0004740154,0.00008100096,0.00013162899,0.00025581557,0.0002292503,0.00015494204],"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":[0.0010999681,0.00016325823,0.20384121,0.008023708,0.024546402,0.00016988975,0.010074608,0.05860536,0.00019141872,0.0001128277,0.07331087,0.6198605],"study_design_scores_gemma":[0.00012436225,0.000033135457,0.10387419,0.0001664874,0.0026749768,0.0000036812598,0.00020903775,0.8716112,0.000045490317,0.00037346556,0.02056347,0.0003205511],"about_ca_topic_score_codex":0.0074039632,"about_ca_topic_score_gemma":0.02289113,"teacher_disagreement_score":0.8130058,"about_ca_system_score_codex":0.000002922515,"about_ca_system_score_gemma":0.000062605475,"threshold_uncertainty_score":0.99990374},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99469537,0.00074861787,0.0000097799475,0.0016250013,0.000647974,0.000080102844,0.00011254417,0.000009266497,0.0020713455],"genre_scores_gemma":[0.99550366,0.00049073587,0.00006487992,0.00011036241,0.00013906337,9.698919e-9,0.0000028927252,0.000003966912,0.0036844073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984625,0.00042045143,0.00027617931,0.00012828309,0.0005143888,0.00019822842],"domain_scores_gemma":[0.99802905,0.0005389497,0.0010438946,0.00019192944,0.00014280096,0.000053354346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008299697,0.00011362942,0.00030253557,0.000048102134,0.0002492591,0.0000711868,0.00025348557,0.000054767846,0.000010793603],"category_scores_gemma":[0.00030367842,0.00006014797,0.00017230827,0.0005013821,0.00014071165,0.00016327083,0.00004381352,0.00039588654,8.830032e-7],"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":[0.00011000631,0.000017454959,0.93110424,0.000035664427,0.00018510167,0.000014529941,0.0007486385,0.015409888,0.0011495557,0.0000030285535,0.049354654,0.0018672185],"study_design_scores_gemma":[0.00031629708,0.00013487914,0.9437411,0.00035226555,0.00023408796,0.000066450986,0.0005665003,0.01187271,0.002005404,0.00003852402,0.0405491,0.00012271953],"about_ca_topic_score_codex":0.0046841535,"about_ca_topic_score_gemma":0.0002993978,"teacher_disagreement_score":0.012636804,"about_ca_system_score_codex":0.00004676513,"about_ca_system_score_gemma":0.00016942775,"threshold_uncertainty_score":0.70810705},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98672575,0.00052290113,0.0020298152,0.000015335476,0.0006197385,0.000111754496,0.000012430132,0.00016865195,0.009793642],"genre_scores_gemma":[0.9992869,0.00005973769,0.00046639805,0.00002664617,0.00008517522,2.2585925e-7,0.000049073446,0.0000023992636,0.000023472354],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992566,0.00004040771,0.00023399992,0.00010559719,0.0001652536,0.00019810222],"domain_scores_gemma":[0.9997051,0.000052654006,0.00005859076,0.00006779321,0.000047957135,0.0000679433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026802253,0.000121094214,0.00010992908,0.00015951421,0.0002750976,0.00054653647,0.000043312804,0.00007388347,0.000040589242],"category_scores_gemma":[0.00006195821,0.00008616998,0.000041088093,0.0002632613,0.00005287239,0.001828969,0.000006433878,0.00011373848,0.000053199],"study_design_candidate":"design_other","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":[0.000037863814,0.0000017502498,0.009847256,0.00036314473,0.000052939715,0.000008793732,0.00411202,0.009448174,0.00083932467,0.000012880383,0.0000728707,0.975203],"study_design_scores_gemma":[0.00016559726,0.00007947303,0.43312666,0.00040743122,0.00004225243,0.0005933306,0.00228944,0.5593616,0.0011170837,0.00037139645,0.0021454266,0.00030033628],"about_ca_topic_score_codex":0.0013041886,"about_ca_topic_score_gemma":0.0003539235,"teacher_disagreement_score":0.97490263,"about_ca_system_score_codex":0.000030756666,"about_ca_system_score_gemma":0.000027464914,"threshold_uncertainty_score":0.5270264},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98262185,0.000035237525,0.011101649,0.0006181014,0.00061078864,0.00021363192,0.000033614848,0.000052806954,0.0047122966],"genre_scores_gemma":[0.99587226,0.00005050526,0.0036033841,0.0003564481,0.00004111701,9.260757e-8,0.00006617759,0.0000013452561,0.000008671604],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801165,0.00010158575,0.00062135304,0.00022195122,0.0006107698,0.0004326811],"domain_scores_gemma":[0.99927634,0.00012183015,0.00019641274,0.0001607812,0.00006247639,0.00018215411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021951247,0.00012764991,0.00024313004,0.0006982604,0.0002304202,0.00019940316,0.00023048204,0.00008838211,0.00025449524],"category_scores_gemma":[0.00014371668,0.00008803479,0.000049072103,0.0016123888,0.00028413156,0.0010037766,0.000029518025,0.00024427078,0.000032906693],"study_design_candidate":"design_other","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":[0.000028185843,0.000045597364,0.14062773,0.00010897525,0.000009504163,0.000024710233,0.0017317502,0.060507838,0.00015260503,0.00019263318,0.00016054738,0.7964099],"study_design_scores_gemma":[0.000098353274,0.00015154705,0.47893798,0.000030390247,0.0000016946943,0.000013904247,0.0000785159,0.51962835,0.000047743037,0.000067220564,0.0008766831,0.000067625726],"about_ca_topic_score_codex":0.006357778,"about_ca_topic_score_gemma":0.0025185787,"teacher_disagreement_score":0.7963423,"about_ca_system_score_codex":0.000055131255,"about_ca_system_score_gemma":0.00076013873,"threshold_uncertainty_score":0.96111006},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99580675,0.0033993877,0.000031448813,0.0002802766,0.00035760674,0.000031567568,0.000014331202,0.0000035646399,0.00007504014],"genre_scores_gemma":[0.9992737,0.00033657777,0.00008907099,0.000092958966,0.00014307993,3.0014565e-8,0.000013347454,0.0000021501976,0.000049056045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908143,0.00006292487,0.0002726984,0.000107845866,0.00039707706,0.00007799912],"domain_scores_gemma":[0.99953073,0.00029917233,0.000093026974,0.000030243935,0.000014407168,0.000032406075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026155953,0.000082266924,0.00013984063,0.00011869956,0.00003141421,0.000045935416,0.00008132454,0.000027040931,0.000033975506],"category_scores_gemma":[0.00003991829,0.00005098497,0.000052235027,0.000030615418,0.00007983872,0.0001934848,0.000011171594,0.0001388572,0.0000022191389],"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":[0.00087771314,0.00010772032,0.15326247,0.000037292448,0.00015008663,0.00013105305,0.0016803645,0.49880108,0.00037695403,0.000005258741,0.00002017809,0.34454983],"study_design_scores_gemma":[0.00031208433,0.000375638,0.4243309,0.00014665035,0.0000095477735,0.000011511602,0.00068036246,0.5724765,0.0000905673,0.00010858102,0.0013830033,0.00007464464],"about_ca_topic_score_codex":0.00025201504,"about_ca_topic_score_gemma":0.0002951746,"teacher_disagreement_score":0.3444752,"about_ca_system_score_codex":0.000022143602,"about_ca_system_score_gemma":0.0000069923713,"threshold_uncertainty_score":0.20791067},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9407779,0.00048792464,0.009819059,0.015430786,0.0052659838,0.000364389,0.00004614058,0.00006041738,0.02774739],"genre_scores_gemma":[0.9974558,0.00012495795,0.0011245771,0.00012070312,0.0010085849,5.6053292e-8,0.0000147749115,0.000004783811,0.00014579053],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978311,0.0005038558,0.00044911445,0.0002532228,0.0006918266,0.00027087022],"domain_scores_gemma":[0.996995,0.00226686,0.0001381135,0.0002537508,0.00024136752,0.00010490788],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004246951,0.000114536844,0.00015550532,0.00037498784,0.00016171188,0.00053680816,0.00033980006,0.00007887569,0.0003019726],"category_scores_gemma":[0.0016557616,0.00007412106,0.000051473813,0.00078359724,0.00008217656,0.0015472078,0.000015264168,0.0010886901,0.0012420213],"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":[0.0031712565,0.00020700086,0.00017334978,0.000045329954,0.000041257805,0.0019363515,0.0007892698,0.056146745,0.002253593,0.000051955056,0.0023494244,0.93283445],"study_design_scores_gemma":[0.00006993821,0.0030800418,0.012190668,0.0007345658,0.000057207526,0.00073513284,0.005178773,0.9337024,0.030177705,0.0009811558,0.012769744,0.00032263203],"about_ca_topic_score_codex":0.00065415644,"about_ca_topic_score_gemma":0.0013205791,"teacher_disagreement_score":0.9325118,"about_ca_system_score_codex":0.000026042655,"about_ca_system_score_gemma":0.00012138059,"threshold_uncertainty_score":0.9995356},"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":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043317154,0.0007986192,0.0005939273,0.005671787,0.00020574688,0.0015858782,0.98496425,0.00021563369,0.0016324458],"genre_scores_gemma":[0.16867553,0.0013145026,0.00003254911,0.0015743127,0.00026600136,1.5775802e-7,0.82747954,0.0002651138,0.00039230497],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774444,0.0004532459,0.0002638732,0.0005818718,0.00046840747,0.0004881556],"domain_scores_gemma":[0.99784845,0.0006314995,0.00022249625,0.00087435957,0.00024951957,0.00017366873],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00096772925,0.00027468667,0.00023489649,0.00027686867,0.006354755,0.0010777619,0.001251237,0.00010783023,0.01369325],"category_scores_gemma":[0.00059421954,0.00016118567,0.000073026415,0.0009186281,0.0003211414,0.00012086708,0.00014984694,0.0007825472,0.0006301763],"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":[0.00011821055,0.000022778897,0.000024549337,0.000039805618,0.000076367665,0.00000858896,0.00011724183,0.0047386573,0.0000020638338,0.000021760938,0.8964722,0.09835777],"study_design_scores_gemma":[0.00050390227,0.000543934,0.015882779,0.00002761003,0.00008569678,0.00030438235,0.00016219229,0.0016957526,6.80156e-7,0.00002538279,0.98053676,0.00023092532],"about_ca_topic_score_codex":0.0011749642,"about_ca_topic_score_gemma":0.00020985943,"teacher_disagreement_score":0.16434382,"about_ca_system_score_codex":0.000022696271,"about_ca_system_score_gemma":0.000021830156,"threshold_uncertainty_score":0.99995923},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016316155,0.00019504507,0.000025300338,0.00018055116,0.0004171228,0.00023445637,0.98121107,0.00028682355,0.017286463],"genre_scores_gemma":[0.00030463614,0.00033468654,0.00004881545,0.0003446564,0.00032028084,1.6119994e-9,0.99826616,0.00018707215,0.00019367186],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973683,0.00058095664,0.00029466447,0.0006185443,0.0006256751,0.0005118633],"domain_scores_gemma":[0.9985787,0.00004140169,0.00016990495,0.0008356747,0.000108295855,0.00026596905],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006772099,0.0002495912,0.00024376083,0.00019515668,0.0030844572,0.0010449543,0.0015574344,0.00012193181,0.4129722],"category_scores_gemma":[0.00037772447,0.00024404716,0.00006895756,0.0006378846,0.00012494474,0.00016993463,0.00061919534,0.0005781029,0.016653456],"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":[0.000031285974,0.000028200377,0.0000076084452,0.00006972271,0.000041208492,0.00009859979,0.00004732891,0.00008829737,8.862397e-7,0.0000053839,0.95955557,0.040025927],"study_design_scores_gemma":[0.00022417496,0.00014697005,0.0007613217,0.000024336441,0.000026961463,0.00031649432,0.000118076045,0.00017744179,3.460514e-7,0.000023265839,0.99788684,0.00029379287],"about_ca_topic_score_codex":0.0015429369,"about_ca_topic_score_gemma":0.000043778753,"teacher_disagreement_score":0.39631876,"about_ca_system_score_codex":0.00005501147,"about_ca_system_score_gemma":0.000011539304,"threshold_uncertainty_score":0.9999921},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016316155,0.00019504507,0.000025300338,0.00018055116,0.0004171228,0.00023445637,0.98121107,0.00028682355,0.017286463],"genre_scores_gemma":[0.00030463614,0.00033468654,0.00004881545,0.0003446564,0.00032028084,1.6119994e-9,0.99826616,0.00018707215,0.00019367186],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973683,0.00058095664,0.00029466447,0.0006185443,0.0006256751,0.0005118633],"domain_scores_gemma":[0.9985787,0.00004140169,0.00016990495,0.0008356747,0.000108295855,0.00026596905],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006772099,0.0002495912,0.00024376083,0.00019515668,0.0030844572,0.0010449543,0.0015574344,0.00012193181,0.4129722],"category_scores_gemma":[0.00037772447,0.00024404716,0.00006895756,0.0006378846,0.00012494474,0.00016993463,0.00061919534,0.0005781029,0.016653456],"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":[0.000031285974,0.000028200377,0.0000076084452,0.00006972271,0.000041208492,0.00009859979,0.00004732891,0.00008829737,8.862397e-7,0.0000053839,0.95955557,0.040025927],"study_design_scores_gemma":[0.00022417496,0.00014697005,0.0007613217,0.000024336441,0.000026961463,0.00031649432,0.000118076045,0.00017744179,3.460514e-7,0.000023265839,0.99788684,0.00029379287],"about_ca_topic_score_codex":0.0015429369,"about_ca_topic_score_gemma":0.000043778753,"teacher_disagreement_score":0.39631876,"about_ca_system_score_codex":0.00005501147,"about_ca_system_score_gemma":0.000011539304,"threshold_uncertainty_score":0.9999921},"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":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043317154,0.0007986192,0.0005939273,0.005671787,0.00020574688,0.0015858782,0.98496425,0.00021563369,0.0016324458],"genre_scores_gemma":[0.16867553,0.0013145026,0.00003254911,0.0015743127,0.00026600136,1.5775802e-7,0.82747954,0.0002651138,0.00039230497],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774444,0.0004532459,0.0002638732,0.0005818718,0.00046840747,0.0004881556],"domain_scores_gemma":[0.99784845,0.0006314995,0.00022249625,0.00087435957,0.00024951957,0.00017366873],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00096772925,0.00027468667,0.00023489649,0.00027686867,0.006354755,0.0010777619,0.001251237,0.00010783023,0.01369325],"category_scores_gemma":[0.00059421954,0.00016118567,0.000073026415,0.0009186281,0.0003211414,0.00012086708,0.00014984694,0.0007825472,0.0006301763],"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":[0.00011821055,0.000022778897,0.000024549337,0.000039805618,0.000076367665,0.00000858896,0.00011724183,0.0047386573,0.0000020638338,0.000021760938,0.8964722,0.09835777],"study_design_scores_gemma":[0.00050390227,0.000543934,0.015882779,0.00002761003,0.00008569678,0.00030438235,0.00016219229,0.0016957526,6.80156e-7,0.00002538279,0.98053676,0.00023092532],"about_ca_topic_score_codex":0.0011749642,"about_ca_topic_score_gemma":0.00020985943,"teacher_disagreement_score":0.16434382,"about_ca_system_score_codex":0.000022696271,"about_ca_system_score_gemma":0.000021830156,"threshold_uncertainty_score":0.99995923},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061384317,0.00006485875,0.000003319356,0.0001091508,0.00027073926,0.0008797609,0.9341537,0.00017759115,0.0029565906],"genre_scores_gemma":[0.02488732,0.0006315838,0.0000049965106,0.000062456726,0.0001822968,6.256405e-9,0.97365284,0.00021286367,0.00036566396],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99763095,0.00058871857,0.00026891442,0.0005075337,0.00056116347,0.00044272412],"domain_scores_gemma":[0.99886954,0.0000851749,0.00016146929,0.00062369416,0.00010422209,0.00015587348],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007979853,0.00021381356,0.00028615328,0.0004604138,0.00050739484,0.0003407915,0.00086290075,0.00010155594,0.0045194267],"category_scores_gemma":[0.00044437483,0.00017959703,0.000039268318,0.00057052483,0.00009562123,0.00011243542,0.00028399102,0.00044686976,0.010635145],"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":[0.00025811262,0.00023443619,0.0014665168,0.00023704063,0.00004422818,0.00026938083,0.00026597414,0.00017613803,0.0000050757717,7.5996803e-7,0.9832958,0.013746545],"study_design_scores_gemma":[0.0007324505,0.0009940474,0.15786351,0.00026866444,0.00003214516,0.000026995427,0.00011383148,0.00018118163,0.0000061497053,0.0000019786946,0.8395324,0.00024668756],"about_ca_topic_score_codex":0.0016163365,"about_ca_topic_score_gemma":0.0019666953,"teacher_disagreement_score":0.15639699,"about_ca_system_score_codex":0.000023001854,"about_ca_system_score_gemma":0.000014371362,"threshold_uncertainty_score":0.9963906},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027892651,0.00037947446,0.00017178932,0.00010286655,0.00022927785,0.00026132062,0.9682693,0.00008124609,0.0026120988],"genre_scores_gemma":[0.03697382,0.0014052258,0.00015311985,0.000023880993,0.000067574416,3.6307397e-9,0.9611365,0.00009108056,0.0001488051],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871266,0.0002722834,0.00025114726,0.0002579145,0.0003279866,0.00017798533],"domain_scores_gemma":[0.99925935,0.000058883725,0.0001526397,0.0003100886,0.00014468697,0.00007434723],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041889993,0.00011267985,0.00019213962,0.00022887586,0.0008288816,0.00011074927,0.00032500527,0.00006186435,0.07763531],"category_scores_gemma":[0.00026966498,0.00010432567,0.00003703555,0.00026315384,0.00014271443,0.00008928438,0.00018117821,0.00023048338,0.0002273008],"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":[0.000070257774,0.00004261449,0.0000098495975,0.0001634803,0.000041533185,0.000005848238,0.00013649058,0.0004631849,0.00017828854,0.0000070189767,0.97829026,0.020591175],"study_design_scores_gemma":[0.00020216036,0.00031879844,0.0013581682,0.000036592082,0.000031887277,0.000038331622,0.000088782086,0.0002526071,0.000109277986,0.000024383578,0.99742925,0.000109744054],"about_ca_topic_score_codex":0.0015219854,"about_ca_topic_score_gemma":0.00008694083,"teacher_disagreement_score":0.07740801,"about_ca_system_score_codex":0.000012196508,"about_ca_system_score_gemma":0.0000062449467,"threshold_uncertainty_score":0.9232079},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8794624,0.009721019,0.10320948,0.00014308332,0.0036126229,0.00049333496,0.00003681022,0.00009965671,0.0032215698],"genre_scores_gemma":[0.99903136,0.00015953451,0.00030171743,0.00007741423,0.00036196434,9.2770017e-7,0.00003498289,0.000004368392,0.00002769675],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998897,0.00017310998,0.00023280404,0.00033434122,0.00021684974,0.00014588292],"domain_scores_gemma":[0.99935013,0.0004438064,0.000034753943,0.00010810193,0.000012033503,0.000051195162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029108516,0.00013529226,0.00018752611,0.0001296011,0.000072003146,0.00023166192,0.0000541849,0.000042970863,0.000016759273],"category_scores_gemma":[0.0000027031888,0.00009490489,0.00003085658,0.00013179253,0.00001637838,0.0002931058,9.97974e-7,0.00013577148,0.000039924613],"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":[0.00007646089,0.000071361304,0.01729928,0.00006467186,0.000017544542,0.00014156358,0.000881023,0.41058686,0.000051518666,0.000009022081,0.00005693664,0.57074374],"study_design_scores_gemma":[0.00044706863,0.0007462049,0.11284841,0.0005332433,0.000011893494,0.0000061374094,0.00020684567,0.88178587,0.000067804605,0.000095634925,0.0030888547,0.00016205374],"about_ca_topic_score_codex":0.0011085004,"about_ca_topic_score_gemma":0.00077949284,"teacher_disagreement_score":0.57058173,"about_ca_system_score_codex":0.0000048491156,"about_ca_system_score_gemma":0.000012027888,"threshold_uncertainty_score":0.3870109},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000011419257,0.0037871168,1.0275394e-8,0.000043100932,0.00075046765,0.00012667931,0.9919998,0.00010873959,0.0031829306],"genre_scores_gemma":[0.0000054999236,0.000092750364,0.000019424378,0.00035126042,0.0012154577,3.5840796e-7,0.9974634,0.0000096201875,0.00084224984],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983692,0.000054996355,0.0002080177,0.0006725986,0.00034272953,0.0003524508],"domain_scores_gemma":[0.99808043,0.00015598073,0.00007874146,0.0014741514,0.000025943866,0.00018474589],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007116511,0.0002911512,0.00026921052,0.00011044098,0.000101626734,0.00030281846,0.0011777367,0.00031809256,0.43993762],"category_scores_gemma":[0.0003757328,0.00021625133,0.00007037666,0.00018994212,0.000008509405,0.00014111967,0.000164038,0.0006283378,0.26549348],"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":[0.0000040618474,0.000004208364,0.000009119618,0.00036999054,0.000028997774,0.00044779066,0.000005257171,0.0000038195144,6.980807e-9,1.0176722e-8,0.9879174,0.011209315],"study_design_scores_gemma":[0.000048678856,0.000028950852,0.00069529517,0.0017224442,0.000044925346,0.000051123036,0.000003007512,0.002192132,2.5641438e-7,0.000005997759,0.9948903,0.00031691513],"about_ca_topic_score_codex":0.0018101593,"about_ca_topic_score_gemma":0.0058174795,"teacher_disagreement_score":0.17444415,"about_ca_system_score_codex":0.0000033604267,"about_ca_system_score_gemma":0.00016627561,"threshold_uncertainty_score":0.8818473},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971166,0.00036177572,0.0015036687,0.00006516966,0.0004625027,0.00015190094,0.000036829235,0.000013521095,0.00028802778],"genre_scores_gemma":[0.9943643,0.00018326052,0.005108257,0.00013015397,0.00016146328,1.3139241e-9,0.000029434059,0.0000036854549,0.000019450605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999072,0.000052540872,0.0002537006,0.00019666557,0.00011401374,0.00031104835],"domain_scores_gemma":[0.99922276,0.00029994006,0.00008184953,0.00023348769,0.000034403765,0.00012758352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017706882,0.00010627724,0.00015683688,0.00028438223,0.0002399125,0.0002169736,0.00013369958,0.00003977663,0.000009689624],"category_scores_gemma":[0.00006504629,0.00006893811,0.000048089532,0.00021822212,0.00003044737,0.00028854416,0.000015981479,0.00019788997,0.0000016354944],"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":[0.00009217833,0.000010373675,0.5859659,0.0000033780004,0.000019832825,0.000054942062,0.00034194053,0.0000341687,0.000006660473,1.6219349e-7,0.000095038056,0.41337547],"study_design_scores_gemma":[0.0006890313,0.00022964455,0.95223683,0.00003434558,0.000016583745,0.0002993892,0.0017785577,0.03610795,0.0000074023037,0.00065852056,0.007807721,0.0001340264],"about_ca_topic_score_codex":0.0024906218,"about_ca_topic_score_gemma":0.019264989,"teacher_disagreement_score":0.41324145,"about_ca_system_score_codex":0.0000012573871,"about_ca_system_score_gemma":0.000009783116,"threshold_uncertainty_score":0.9986309},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09940805,0.000024886549,0.8445245,0.009817074,0.0030531604,0.0012516343,0.0015621879,0.0004726462,0.039885882],"genre_scores_gemma":[0.29635674,0.000044676948,0.6781378,0.0012769769,0.0012789343,9.056444e-8,0.01827313,0.000016683793,0.0046149953],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862444,0.00019964302,0.00020237615,0.00044105705,0.00023788458,0.00029460798],"domain_scores_gemma":[0.99886966,0.00058000226,0.00008180389,0.00034561564,0.000046298217,0.00007664528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005896614,0.00014700362,0.00018217649,0.00014131586,0.00028833761,0.000097252676,0.00012441746,0.00006652104,0.0002276577],"category_scores_gemma":[0.00018750798,0.00011171548,0.000053597145,0.00027324894,0.000033356926,0.00016710287,0.0000088824545,0.00009181099,0.00008190452],"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":[0.004465542,0.00003464268,0.00030212736,0.000068357134,0.0001691713,0.00022457435,0.0014637872,0.15909809,0.05765514,0.00034361813,0.18527892,0.59089607],"study_design_scores_gemma":[0.001079513,0.00023243288,0.0033405074,0.000022361271,0.00003727171,0.00001010743,0.0003774767,0.9774541,0.009563555,0.0008322065,0.0068777055,0.00017272047],"about_ca_topic_score_codex":0.0027768065,"about_ca_topic_score_gemma":0.004463945,"teacher_disagreement_score":0.81835604,"about_ca_system_score_codex":0.000014068255,"about_ca_system_score_gemma":0.00006515754,"threshold_uncertainty_score":0.4555625},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8154176,0.035439387,0.14624244,0.0005989142,0.00045309626,0.00043902133,0.000014512889,0.00006328275,0.0013317532],"genre_scores_gemma":[0.99745697,0.0007307362,0.0016109047,0.000024539473,0.0001614635,0.0000011132238,0.000006177815,0.0000021603341,0.0000059618624],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992548,0.0001181567,0.00016134359,0.00021155647,0.00013055792,0.00012356018],"domain_scores_gemma":[0.9994146,0.00040458684,0.000031518644,0.000081781945,0.000047004647,0.000020496696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006911457,0.00006219842,0.0001143746,0.0001725378,0.00008355732,0.00012603219,0.000064955624,0.000044797016,0.0000030871865],"category_scores_gemma":[0.0000037494344,0.00003625839,0.000009287036,0.0003164409,0.00012349205,0.00014147989,0.000010826138,0.00014931832,0.000008361621],"study_design_candidate":"design_other","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":[0.0000069642474,0.0000043264754,0.0015988011,0.00017341152,0.0000028347185,0.000005529702,0.00015466267,0.0024072067,0.00003490268,0.00015701943,0.000039681192,0.9954147],"study_design_scores_gemma":[0.000062159,0.000159473,0.002105845,0.000593031,0.0000018930277,0.00003364625,0.00013136567,0.9898437,0.000061369385,0.0036407318,0.0033066543,0.00006012025],"about_ca_topic_score_codex":0.00016479757,"about_ca_topic_score_gemma":0.00006519944,"teacher_disagreement_score":0.99535453,"about_ca_system_score_codex":0.000001857152,"about_ca_system_score_gemma":0.000009926634,"threshold_uncertainty_score":0.14785741},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012309316,0.000030447802,0.0000010076488,0.00008981549,0.0010043673,0.00013623934,0.996636,0.00005097381,0.0008202653],"genre_scores_gemma":[0.000109924134,0.000118629716,0.0000013308689,0.00026020294,0.0000032987273,2.8125925e-8,0.9995063,2.8471654e-9,2.885263e-7],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885565,0.000050841114,0.00023732524,0.00019018551,0.00038935823,0.00027662696],"domain_scores_gemma":[0.9987882,0.000018915198,0.00030421943,0.0005949518,0.00011291645,0.00018084534],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022820408,0.00022285947,0.00023544059,0.000053876425,0.00062466174,0.00036929417,0.0005587549,0.00028957217,0.003894247],"category_scores_gemma":[0.00014277024,0.00018972567,0.00011853334,0.000079545156,0.00017162242,0.0008601773,0.000048995193,0.0002485545,0.37667072],"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":[0.00003475689,0.0000048953475,0.0143880835,0.000052729647,0.000014781739,0.0000048233037,0.000014502091,0.000020152984,1.3963167e-9,1.7952672e-9,0.9679468,0.017518433],"study_design_scores_gemma":[0.00018931284,0.00003085003,0.0056048175,0.0000031461134,0.00003206743,0.00000929778,0.000029189718,0.0000022311326,1.5593093e-7,7.169215e-7,0.99386513,0.0002330848],"about_ca_topic_score_codex":0.009854845,"about_ca_topic_score_gemma":0.00078481284,"teacher_disagreement_score":0.37277645,"about_ca_system_score_codex":0.0000204388,"about_ca_system_score_gemma":0.0001194925,"threshold_uncertainty_score":0.9970163},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634449,0.0010961994,0.024712557,0.00075149105,0.00011297893,0.00059501955,0.00010659306,0.00006927141,0.0091110235],"genre_scores_gemma":[0.99831885,0.00009102884,0.0013006926,0.00006503339,0.00007945914,9.803032e-7,0.00011464081,0.0000020521893,0.000027253664],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99916905,0.00009558319,0.00024560848,0.0001334102,0.00024780165,0.00010854689],"domain_scores_gemma":[0.9996758,0.00012269299,0.000058074875,0.000106974345,0.000018592324,0.000017857863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005858804,0.00007204491,0.00011051073,0.000083360865,0.000025222378,0.000024103709,0.00010034691,0.000033144705,0.00012996227],"category_scores_gemma":[0.000002070915,0.00004493178,0.000042647996,0.00019409292,0.00004752937,0.0000844332,0.000003348408,0.00008111267,0.0000075905436],"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":[0.000062576466,0.00010564142,0.19461098,0.0002419237,0.000046218018,0.000015639855,0.0010963513,0.0025090345,0.0050311913,0.0015560623,0.0014213794,0.793303],"study_design_scores_gemma":[0.00012222126,0.00017769368,0.8795958,0.00008118094,0.000026182812,0.000004434088,0.0000661645,0.10580558,0.0014748554,0.00081437355,0.011742945,0.00008852725],"about_ca_topic_score_codex":0.003398039,"about_ca_topic_score_gemma":0.0002707311,"teacher_disagreement_score":0.7932145,"about_ca_system_score_codex":0.0000054131096,"about_ca_system_score_gemma":0.000028629529,"threshold_uncertainty_score":0.5136841},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002961232,0.000010431696,0.00001358115,0.00001445138,0.0019465766,0.00021151545,0.99187976,0.00008889246,0.0055386764],"genre_scores_gemma":[0.00009015059,0.0016088736,0.00013178556,0.0006212344,0.0009436672,3.857256e-7,0.99426544,0.000010399674,0.002328044],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99760413,0.0001349451,0.00039365175,0.0007087486,0.0005106789,0.000647855],"domain_scores_gemma":[0.9977026,0.00016648619,0.0002127818,0.0015413963,0.000049362403,0.00032739964],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028772603,0.00045251223,0.0004804405,0.00020304894,0.00023378129,0.0001924315,0.0008051659,0.00043110043,0.1481095],"category_scores_gemma":[0.00013180444,0.00030951254,0.00017800702,0.00013627719,0.00013756349,0.0003378196,0.00007702823,0.00045773224,0.35494763],"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":[0.000041771797,0.000012632014,0.00025380723,0.000053435335,0.000049740895,0.0001823933,0.000007700528,0.000013920268,0.0000015846505,0.0000010881712,0.94771266,0.051669266],"study_design_scores_gemma":[0.0004535501,0.00006310833,0.000875319,0.00014899003,0.00008864847,0.00005875273,0.000014515478,0.0002094269,0.000011385987,0.000059113783,0.9975078,0.00050936255],"about_ca_topic_score_codex":0.0056556454,"about_ca_topic_score_gemma":0.0034739147,"teacher_disagreement_score":0.20683815,"about_ca_system_score_codex":0.000012653599,"about_ca_system_score_gemma":0.0001424372,"threshold_uncertainty_score":0.9999357},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92004687,0.06105,0.0006496895,0.005202808,0.0010934018,0.00011294843,0.0001226554,0.0000634962,0.011658124],"genre_scores_gemma":[0.9957785,0.0028499567,0.00005341445,0.00005746299,0.0004546058,7.866114e-8,0.00006196166,0.0000033079561,0.0007407105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918383,0.00007368437,0.00020504858,0.0001283772,0.0002422525,0.00016679519],"domain_scores_gemma":[0.9992551,0.00053218304,0.00006264002,0.000042434316,0.0000284744,0.00007913504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000528778,0.000115120354,0.00015500326,0.00009648932,0.0008813363,0.00024823163,0.000032160486,0.000033775606,0.000041457202],"category_scores_gemma":[0.000065036314,0.000056356956,0.000047876572,0.00007368436,0.00011597034,0.00012394463,0.0000044033154,0.0003532545,0.0000050947183],"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":[0.00006953582,0.000004215554,0.763397,0.00003407033,0.00028396398,0.000183459,0.0016168328,0.0019558729,7.095563e-7,0.000049082693,0.0045883856,0.22781691],"study_design_scores_gemma":[0.00030166676,0.00037966654,0.87512946,0.00015306904,0.00010064739,0.00024471912,0.001454675,0.102849625,0.0000014526669,0.0024837411,0.016758272,0.00014301164],"about_ca_topic_score_codex":0.000052199823,"about_ca_topic_score_gemma":0.000480907,"teacher_disagreement_score":0.22767389,"about_ca_system_score_codex":0.0000047890035,"about_ca_system_score_gemma":0.000025993368,"threshold_uncertainty_score":0.6778615},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911128,0.00079181546,0.00513146,0.000837586,0.0005047822,0.00032366844,0.00017107975,0.00008843204,0.0010383633],"genre_scores_gemma":[0.998631,0.0000116745505,0.00047758542,0.000035829275,0.00029845786,9.105359e-7,0.00013454583,0.000004138706,0.00040587215],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924606,0.000024990008,0.00022846366,0.00018097566,0.00016042766,0.00015908248],"domain_scores_gemma":[0.999758,0.00003939682,0.000050064584,0.00006130002,0.000046542646,0.00004466576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029292668,0.00007961376,0.000101167374,0.0000661886,0.00009373604,0.00012808491,0.00007662961,0.00003128922,0.00031365594],"category_scores_gemma":[0.000011478229,0.00006202729,0.00005677359,0.00012443871,0.00003907553,0.0001666854,0.000002259933,0.000040641284,0.000020031786],"study_design_candidate":"design_other","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":[0.00024922067,0.000040911902,0.003711385,0.00051499135,0.000053117867,0.000009372995,0.0013759305,0.0032001778,0.028474104,0.0000799459,0.012288371,0.9500025],"study_design_scores_gemma":[0.0012418001,0.0005670669,0.21206912,0.00031697834,0.0001631793,0.000015618145,0.00049697765,0.6854015,0.052016508,0.0017847233,0.045460347,0.0004661905],"about_ca_topic_score_codex":0.00043268045,"about_ca_topic_score_gemma":0.00016194813,"teacher_disagreement_score":0.94953626,"about_ca_system_score_codex":0.0000036659858,"about_ca_system_score_gemma":0.000056091147,"threshold_uncertainty_score":0.34343126},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55518895,0.007616937,0.366819,0.00042297677,0.012282782,0.0010142161,0.0003110455,0.00017919252,0.056164917],"genre_scores_gemma":[0.9908018,0.00027965513,0.007049578,0.000024591978,0.00045835608,2.4769014e-9,0.0005380101,0.000016441769,0.00083156914],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978926,0.00022918153,0.0005758905,0.000549608,0.0004759069,0.00027682373],"domain_scores_gemma":[0.9981243,0.00041079934,0.00009321937,0.00057590276,0.00071679195,0.00007899284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018737778,0.00020119634,0.00031564056,0.00024710916,0.00012341107,0.00007218836,0.00018923584,0.00015678343,0.00012530743],"category_scores_gemma":[0.00026331705,0.00017251413,0.00009804049,0.0006472751,0.00010918478,0.00036863566,0.000015436479,0.00021717211,0.000029031109],"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":[0.0001249999,0.000013021889,0.000010392423,0.00015060214,0.00004699971,0.0000019467113,0.001078048,0.0113956705,0.0010657543,0.000012003118,0.005904888,0.9801957],"study_design_scores_gemma":[0.00030431937,0.00014295772,0.00040164424,0.0005053083,0.00020769732,0.000057112997,0.000363684,0.98880535,0.0006832925,0.00067856483,0.0076600695,0.00019000228],"about_ca_topic_score_codex":0.0017389177,"about_ca_topic_score_gemma":0.0016583018,"teacher_disagreement_score":0.9800057,"about_ca_system_score_codex":0.0000321591,"about_ca_system_score_gemma":0.00036545025,"threshold_uncertainty_score":0.7034922},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95089483,0.0004013874,0.015926853,0.00019130319,0.031067947,0.000375551,0.000025767606,0.0001132512,0.0010030821],"genre_scores_gemma":[0.995526,0.0000073067754,0.002619354,0.000009729805,0.0017959102,1.4303376e-7,0.00002554252,0.000011457803,0.0000045336446],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827117,0.00010589491,0.0007207291,0.00021111035,0.0004754741,0.000215639],"domain_scores_gemma":[0.99825287,0.0007612596,0.00039042727,0.0001591753,0.00026916983,0.00016709432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016253266,0.0002003389,0.00038987052,0.00017475072,0.00028267273,0.0008073062,0.00020903826,0.0001076574,0.000005732037],"category_scores_gemma":[0.0001280538,0.00013345365,0.00015657762,0.00020906093,0.000034777713,0.00028319267,0.000008399551,0.00026071828,0.000005997505],"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":[0.0020658786,0.0019965428,0.0013484699,0.007518285,0.00054848974,0.00034733885,0.004979239,0.017392298,0.015432415,0.741595,0.0029562912,0.20381977],"study_design_scores_gemma":[0.0018549652,0.0018759044,0.0014480241,0.00094093336,0.00010485413,0.00010470069,0.00032847907,0.9619111,0.0007387466,0.029873187,0.0005650759,0.00025406614],"about_ca_topic_score_codex":0.00003019932,"about_ca_topic_score_gemma":0.000001654479,"teacher_disagreement_score":0.94451874,"about_ca_system_score_codex":0.000023833984,"about_ca_system_score_gemma":0.000061706574,"threshold_uncertainty_score":0.7784872},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58952034,0.0074252775,0.40090033,0.0014910265,0.000051318326,0.00028917706,0.00007936395,0.00003896805,0.00020419146],"genre_scores_gemma":[0.66098803,0.0062645967,0.33242154,0.000052276333,0.00011076642,2.6083757e-7,0.00012238121,0.0000063333828,0.00003384142],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992381,0.00006844369,0.00013845744,0.00034288477,0.0000874718,0.00012467783],"domain_scores_gemma":[0.99927443,0.00037995586,0.000050507075,0.00022211162,0.000021930047,0.00005107484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031196713,0.000110219946,0.00015434803,0.000025841411,0.0002971895,0.00009645678,0.000049421735,0.000055607034,0.0000102500735],"category_scores_gemma":[0.000011706847,0.000076692464,0.00012509373,0.00020835976,0.00016518391,0.00007053146,0.00001389953,0.000109407214,0.000003020353],"study_design_candidate":"design_other","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":[0.00002759392,0.0000090004005,0.00070875225,0.00003204982,0.0006124258,3.8629716e-7,0.0033987656,0.0047081513,0.0055662575,0.000066572284,0.00013786888,0.98473215],"study_design_scores_gemma":[0.0001038778,0.000034203273,0.12516105,0.00001776206,0.0006166894,0.000008437005,0.0028154298,0.86182225,0.0009600339,0.0007760564,0.0075388323,0.00014538612],"about_ca_topic_score_codex":0.0014127167,"about_ca_topic_score_gemma":0.00009282704,"teacher_disagreement_score":0.9845868,"about_ca_system_score_codex":0.00001173291,"about_ca_system_score_gemma":0.000011730424,"threshold_uncertainty_score":0.3127428},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634266,0.00036701662,0.0013901538,0.0004977676,0.00038746162,0.0001563213,0.00015636493,0.000063696956,0.00063853123],"genre_scores_gemma":[0.99243957,0.00014481165,0.0065741446,0.000051883046,0.000106392676,1.95473e-9,0.00032797232,0.000008578589,0.00034663358],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988297,0.00011776057,0.00030007522,0.00030877197,0.00016021072,0.0002834851],"domain_scores_gemma":[0.9992822,0.0003439618,0.00004744394,0.00016966935,0.000041647858,0.000115091294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033998763,0.00016033111,0.00029633913,0.00015446942,0.00007486976,0.00021069296,0.000039897317,0.00010133886,0.000022254202],"category_scores_gemma":[0.00021212595,0.00012804405,0.000063767315,0.00033893983,0.00009600687,0.0002703207,0.000013185321,0.0001690947,0.000039791044],"study_design_candidate":"design_other","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":[0.00046467653,0.0000028729244,0.020960826,0.00009229974,0.000029832849,0.00022263142,0.00033059606,0.00064979144,0.0017255198,0.0000045911597,0.001862913,0.97365344],"study_design_scores_gemma":[0.0010624642,0.00019349967,0.18780692,0.0013907618,0.00007713302,0.00085288886,0.0001860773,0.7788142,0.0032070894,0.0019388795,0.023835553,0.0006345264],"about_ca_topic_score_codex":0.0025632835,"about_ca_topic_score_gemma":0.004451893,"teacher_disagreement_score":0.97301894,"about_ca_system_score_codex":0.000011431185,"about_ca_system_score_gemma":0.00004668353,"threshold_uncertainty_score":0.5221485},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35258064,0.00013450396,0.63685703,0.0007451856,0.0064111534,0.0008462137,0.0012264336,0.0003019738,0.00089685246],"genre_scores_gemma":[0.9972499,0.00001751365,0.0018007943,0.0003200743,0.00025726782,0.0000016454634,0.00030913818,0.0000045389033,0.000039133254],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990954,0.00004065499,0.00032412822,0.00011262435,0.00016996978,0.00025721447],"domain_scores_gemma":[0.9994172,0.0002746438,0.000053079148,0.00009181319,0.000040575767,0.0001226829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020487583,0.00015282624,0.00015729574,0.00007705748,0.00028466005,0.00025516885,0.000060888975,0.0002132078,0.000077924014],"category_scores_gemma":[0.000009029195,0.00012263317,0.000096930926,0.0003023366,0.00007522974,0.00024463172,2.7471842e-7,0.00030374745,0.000036080393],"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":[0.00035658374,0.000013324222,0.00027840532,0.000042334857,0.000039692444,0.0000022742922,0.000059788257,0.18595456,3.9701254e-7,0.000003960552,0.0008860924,0.8123626],"study_design_scores_gemma":[0.0013920527,0.00050425157,0.00096715987,0.0001284657,0.00010244985,0.00002587814,0.00017195128,0.99497974,0.0000748795,0.00023769111,0.0012226151,0.0001928632],"about_ca_topic_score_codex":0.00038066483,"about_ca_topic_score_gemma":0.0009177328,"teacher_disagreement_score":0.81216973,"about_ca_system_score_codex":0.000015007748,"about_ca_system_score_gemma":0.000064480206,"threshold_uncertainty_score":0.5000835},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8898245,0.0011322551,0.10078785,0.0011207587,0.0005543849,0.0006320213,0.0006948319,0.00022574967,0.0050276606],"genre_scores_gemma":[0.9840207,0.00024333759,0.0056066285,0.00038273248,0.0001515147,0.0000044973826,0.00022032052,0.000020271096,0.009349978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980878,0.00010818981,0.00044167807,0.0005366254,0.00023448688,0.0005911893],"domain_scores_gemma":[0.9980992,0.0013387712,0.0000457383,0.00026140042,0.000038161852,0.00021670999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058865943,0.0002525278,0.00039515246,0.0010371191,0.00012804299,0.00026756545,0.00019395276,0.00015131973,0.00020285675],"category_scores_gemma":[0.0001808941,0.0002233318,0.00024643043,0.00214576,0.000047010493,0.00039297048,0.0000035799694,0.0003763978,0.00016605432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012992947,0.00024788178,0.22992593,0.0007219972,0.0014211022,0.0007161988,0.037837837,0.40166727,0.0037778097,0.000096593074,0.0327386,0.29071885],"study_design_scores_gemma":[0.0026120816,0.00042075387,0.32985032,0.0004861272,0.0009650691,0.00007920087,0.0070664734,0.4257785,0.007163896,0.002391791,0.22270894,0.0004768251],"about_ca_topic_score_codex":0.023788923,"about_ca_topic_score_gemma":0.06304746,"teacher_disagreement_score":0.29024205,"about_ca_system_score_codex":0.000039106122,"about_ca_system_score_gemma":0.00015370872,"threshold_uncertainty_score":0.98271173},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99357367,0.00020809476,0.0047004763,0.00041258679,0.0006976254,0.0001717513,0.0000060426114,0.000023131872,0.00020660541],"genre_scores_gemma":[0.94370884,0.0001921891,0.05536523,0.0001012162,0.0006078322,3.8975485e-9,0.000006524477,0.000008326394,0.000009808935],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847275,0.000104546925,0.0006121074,0.00024254585,0.0002776118,0.00029044924],"domain_scores_gemma":[0.9990632,0.00033840447,0.00023602553,0.00010436204,0.00014644998,0.00011155147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054026954,0.00018709378,0.00038023925,0.0003820989,0.00014950795,0.00009956262,0.00004970307,0.00017727393,0.0000066398266],"category_scores_gemma":[0.000098676246,0.00015135547,0.000044894383,0.000419881,0.00008709809,0.000085366664,0.000009136034,0.00052180834,5.577837e-7],"study_design_candidate":"design_other","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":[0.0002022828,0.000014921627,0.15407409,0.0001232171,0.000057287903,0.00027819673,0.0005208981,0.0024895566,0.0029380252,0.0000061304377,0.000017557197,0.83927786],"study_design_scores_gemma":[0.0005069179,0.00022268826,0.4009931,0.00037432532,0.000026579315,0.00014394784,0.000072478826,0.59631103,0.0004734189,0.00032583854,0.00041809728,0.0001315424],"about_ca_topic_score_codex":0.0009783722,"about_ca_topic_score_gemma":0.0035512918,"teacher_disagreement_score":0.8391463,"about_ca_system_score_codex":0.00001778614,"about_ca_system_score_gemma":0.0001346564,"threshold_uncertainty_score":0.61720973},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977205,0.000097066375,0.00046775863,0.0005500107,0.000253421,0.000026387825,0.0000017121722,0.000010114494,0.00087302225],"genre_scores_gemma":[0.98523086,0.0002134031,0.014495966,0.00000891857,0.000026609228,4.961042e-8,0.000004068287,6.322306e-7,0.000019486948],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99936396,0.000005869671,0.00020742284,0.0000879581,0.0002813109,0.000053507734],"domain_scores_gemma":[0.99972796,0.00004048771,0.00007403707,0.00003069284,0.00010725976,0.000019544517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005357779,0.00003622392,0.000055379453,0.00030130954,0.000023165507,0.00005936807,0.0001234738,0.000017555687,0.000008725348],"category_scores_gemma":[0.00008536349,0.000026228552,0.00000743987,0.00020992236,0.00011276591,0.00031825673,0.000045007706,0.00007218149,8.0620396e-7],"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":[0.000011342591,0.0000032532623,0.36077833,0.0000053727867,0.000003354194,0.000005027104,0.000116408504,0.00015605612,0.00054775766,0.00015943976,0.0000025136242,0.63821113],"study_design_scores_gemma":[0.00009568381,0.000033569293,0.95200264,0.000046440855,0.0000021151668,0.00011358231,0.00012098427,0.042045884,0.0013640674,0.0019642385,0.0021824788,0.00002831053],"about_ca_topic_score_codex":0.00019736539,"about_ca_topic_score_gemma":0.00027108254,"teacher_disagreement_score":0.6381828,"about_ca_system_score_codex":0.000010245765,"about_ca_system_score_gemma":0.00006964481,"threshold_uncertainty_score":0.10695694},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60348177,0.00026711635,0.3824537,0.006362049,0.0023826894,0.00027240592,0.000027274931,0.0006437829,0.004109202],"genre_scores_gemma":[0.7602639,0.000028965856,0.2349349,0.0037634987,0.0005255793,5.9284216e-10,0.00010563152,0.000042653257,0.00033486774],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725485,0.0003167467,0.00041382134,0.0008455171,0.000506849,0.00066222355],"domain_scores_gemma":[0.99870175,0.0003502738,0.00011448416,0.00059588,0.00006335339,0.00017423044],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005773496,0.00039523473,0.00033462484,0.0004093471,0.00044379412,0.00052334345,0.00013024385,0.0001738584,0.0000588756],"category_scores_gemma":[0.00009578782,0.00034186838,0.000214014,0.0005691802,0.00017883565,0.00018976365,0.000010568375,0.00053316134,0.0005548481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050315088,0.0000040755526,0.00009372639,0.000068453395,0.000026225636,0.00046798808,0.00017933313,0.029874993,0.069885544,1.9367637e-7,0.0010242654,0.8983249],"study_design_scores_gemma":[0.0002827498,0.000029183484,0.0055870567,0.0006721229,0.000066290806,0.00019951713,0.00005752489,0.9825311,0.0027322327,0.00002783439,0.0073684263,0.00044599798],"about_ca_topic_score_codex":0.0068938364,"about_ca_topic_score_gemma":0.0004098409,"teacher_disagreement_score":0.9526561,"about_ca_system_score_codex":0.000061659295,"about_ca_system_score_gemma":0.00009288717,"threshold_uncertainty_score":0.9999033},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99485135,0.00005268307,0.0011865882,0.00016921683,0.0020195188,0.00051369925,0.00009829502,0.00016152905,0.00094711315],"genre_scores_gemma":[0.9979531,0.000038800128,0.00089819694,0.000046158715,0.00057854434,0.000004044428,0.00033720236,0.000013323836,0.00013063116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801254,0.00022505724,0.0003164517,0.0008222668,0.00030962488,0.00031404017],"domain_scores_gemma":[0.99931574,0.00006472682,0.00013092234,0.00032040075,0.000044991633,0.00012320795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005671717,0.00028236696,0.00026167816,0.00017694583,0.00014524785,0.00008533311,0.000111411,0.0002859648,0.00019661356],"category_scores_gemma":[0.000034902456,0.00023657434,0.000082768056,0.00015845192,0.00007973881,0.00007950557,0.000077780154,0.0008694019,0.00017538252],"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":[0.00081386534,0.000055985598,0.8435407,0.00017547839,0.00003745195,0.000050340936,0.00013703883,0.14772715,0.0009785404,0.0000070746323,0.000010112484,0.006466206],"study_design_scores_gemma":[0.0004884204,0.00006781574,0.5348465,0.00016969678,0.000032362153,0.000014633657,0.000016025608,0.46337146,0.00020155532,0.0006220035,0.000027907949,0.00014166746],"about_ca_topic_score_codex":0.0034500805,"about_ca_topic_score_gemma":0.0072273063,"teacher_disagreement_score":0.3156443,"about_ca_system_score_codex":0.000030720974,"about_ca_system_score_gemma":0.00009212255,"threshold_uncertainty_score":0.96472216},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933511,0.00079122785,0.0041233245,0.00021640008,0.000093098046,0.00016128186,0.00016249444,0.00004709979,0.0010539736],"genre_scores_gemma":[0.99950325,0.000026630283,0.0003189857,0.000050201204,0.000040667273,2.5625698e-7,0.000048055925,0.0000033083238,0.000008610634],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854416,0.00014101203,0.00027988545,0.0003371801,0.0005068498,0.00019094265],"domain_scores_gemma":[0.99951816,0.00009876576,0.000045425935,0.00017302638,0.00006058705,0.00010405196],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000810844,0.00015875584,0.00025740734,0.00016707425,0.000059687405,0.00007362038,0.000097654905,0.00003644864,0.0012746841],"category_scores_gemma":[0.000015393678,0.00011202555,0.0001292442,0.000347718,0.00008085903,0.000087370645,0.000006013901,0.000099690886,0.000011100333],"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":[0.00028905782,0.00022365345,0.5350373,0.00078311627,0.0008788087,0.000050107166,0.0005553332,0.046142053,0.0012396869,0.000034111905,0.0004694163,0.4142974],"study_design_scores_gemma":[0.0002865139,0.0003747462,0.49111718,0.00018272534,0.00035861912,7.5338545e-7,0.00014110228,0.5058249,0.0009440616,0.000032851683,0.0005685348,0.00016799243],"about_ca_topic_score_codex":0.0016507914,"about_ca_topic_score_gemma":0.0074141454,"teacher_disagreement_score":0.45968285,"about_ca_system_score_codex":0.00001035881,"about_ca_system_score_gemma":0.00004329916,"threshold_uncertainty_score":0.99963826},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9579003,0.03675434,0.0000029068997,0.0016154752,0.0012676108,0.0011067467,0.00021981396,0.000016900123,0.0011159029],"genre_scores_gemma":[0.9894628,0.005611453,0.00022555355,0.000020168281,0.003269608,0.0000020751127,0.0000100183315,0.00006999885,0.0013283055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9793887,0.006750049,0.0033519256,0.00086525956,0.0073857917,0.002258244],"domain_scores_gemma":[0.9860251,0.0064748535,0.001711349,0.0009407695,0.00390643,0.0009414955],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.026178308,0.000886524,0.0019445433,0.0033731663,0.0014518817,0.0017198281,0.0025940645,0.0005653708,0.00018505742],"category_scores_gemma":[0.0023876026,0.0004882316,0.00090125046,0.0045684767,0.0016724737,0.0014841672,0.0004774728,0.009090909,0.0000105728905],"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":[0.0031161678,0.0014869695,0.87522614,0.0021739532,0.0018359065,0.024429437,0.05081709,0.00053267827,0.0074916002,0.00012666457,0.027423268,0.005340103],"study_design_scores_gemma":[0.008426151,0.025790863,0.5615865,0.022710815,0.0010716484,0.036983762,0.30609512,0.00409814,0.015181564,0.0008544961,0.015018764,0.0021821766],"about_ca_topic_score_codex":0.010069385,"about_ca_topic_score_gemma":0.0025106445,"teacher_disagreement_score":0.31363964,"about_ca_system_score_codex":0.000511988,"about_ca_system_score_gemma":0.0023631975,"threshold_uncertainty_score":0.99984807},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881639,0.003748273,6.9317315e-7,0.003091401,0.00013953661,0.0001597263,0.000025963613,0.000013433056,0.004657112],"genre_scores_gemma":[0.99930966,0.00010260701,0.00009922411,0.00020054847,0.000036278572,4.2813554e-7,0.000002939447,0.000004687486,0.00024360449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999099,0.000012584531,0.0002476469,0.00024614367,0.0001893554,0.00020523102],"domain_scores_gemma":[0.9995295,0.00017621533,0.000057856727,0.00007054209,0.00006765307,0.00009825551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039580767,0.00011788222,0.00020110852,0.00008203657,0.00006028607,0.0000652452,0.00012215837,0.000045462908,0.000028080185],"category_scores_gemma":[0.0001638003,0.00007644218,0.000018157614,0.00027582655,0.0000545384,0.00012828737,0.000021407519,0.00013979273,0.0000012021534],"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":[0.00026431857,0.000010266299,0.88839906,0.0012337423,0.000046070294,0.000030104768,0.012492897,0.00009446214,0.007693645,0.00017974254,0.022201275,0.06735443],"study_design_scores_gemma":[0.0007973374,0.00031797506,0.9167442,0.0022194514,0.000071136696,0.000104208055,0.0069785253,0.016954476,0.011649267,0.00049171486,0.04317902,0.0004927438],"about_ca_topic_score_codex":0.77642107,"about_ca_topic_score_gemma":0.8490402,"teacher_disagreement_score":0.0726191,"about_ca_system_score_codex":0.000009357093,"about_ca_system_score_gemma":0.00020576741,"threshold_uncertainty_score":0.31172216},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8622124,0.0002621334,0.13614894,0.00057685626,0.0003134545,0.00014164927,0.0000047755857,0.00004900952,0.0002907422],"genre_scores_gemma":[0.9662065,0.00021203209,0.03315682,0.00007184163,0.00027449717,2.2528925e-9,0.00001938218,0.0000086659165,0.000050246257],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883956,0.000111129506,0.0003279075,0.00022539384,0.0002751098,0.00022090558],"domain_scores_gemma":[0.9992074,0.00025671755,0.00016049508,0.00006369666,0.00023692763,0.00007475735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031435853,0.00017387711,0.00023201059,0.00028582188,0.00028661848,0.00021392436,0.00002758425,0.00011291191,0.00000282655],"category_scores_gemma":[0.00009088664,0.00012207405,0.0000276707,0.0007089267,0.00006459828,0.00014135591,0.0000026723233,0.00052362704,8.4720386e-7],"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":[0.00017156349,0.00000452115,0.00025470904,0.000045799974,0.000036925194,0.000070264236,0.00030590958,0.1003629,0.015442856,0.000010865911,0.000009455925,0.8832842],"study_design_scores_gemma":[0.0004722137,0.00022401854,0.12246929,0.00049089507,0.00004999171,0.00023533874,0.000117314594,0.87192047,0.0032113567,0.00015717278,0.00048511362,0.0001668022],"about_ca_topic_score_codex":0.0010549224,"about_ca_topic_score_gemma":0.0021870534,"teacher_disagreement_score":0.88311744,"about_ca_system_score_codex":0.00002301741,"about_ca_system_score_gemma":0.00009186644,"threshold_uncertainty_score":0.49780354},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63671756,0.00023676836,0.360382,0.00169486,0.0004835936,0.00022984257,0.000010982537,0.000027814478,0.00021658017],"genre_scores_gemma":[0.87538564,0.00040863117,0.12370426,0.00014346489,0.00022118031,3.9587738e-9,0.000019172132,0.000008978694,0.000108684355],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882567,0.00006628272,0.00041582022,0.00020865299,0.00025530622,0.00022829455],"domain_scores_gemma":[0.9991002,0.00031470734,0.00016073439,0.00010645742,0.00025314558,0.0000647405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006315245,0.00015023573,0.00019410659,0.00018566579,0.00044723254,0.00022845263,0.00004251383,0.00011830975,7.327425e-7],"category_scores_gemma":[0.00009658058,0.00010524206,0.000051165956,0.00029318803,0.000063880216,0.0000995191,0.0000035334529,0.0003326363,4.7830935e-7],"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":[0.00010863409,0.000003909154,0.00007739064,0.000051004954,0.000017000013,0.0000136758135,0.00013974447,0.022287719,0.0096476255,0.00009419448,0.00005056691,0.96750855],"study_design_scores_gemma":[0.00046876803,0.00009154957,0.010966608,0.00030965442,0.000032703276,0.00005917062,0.00006325038,0.97948945,0.0014052629,0.0065678596,0.000417442,0.00012828733],"about_ca_topic_score_codex":0.00037514453,"about_ca_topic_score_gemma":0.0014196485,"teacher_disagreement_score":0.9673802,"about_ca_system_score_codex":0.000015462638,"about_ca_system_score_gemma":0.00011456839,"threshold_uncertainty_score":0.42916468},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942091,0.003756543,0.0005392718,0.00033103224,0.00027619005,0.00003801294,0.000011195876,0.000010170512,0.0008284939],"genre_scores_gemma":[0.99788386,0.00012121475,0.00062054594,0.00006930457,0.00054683693,7.735088e-8,0.00012582848,0.0000025049471,0.0006298553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991908,0.000022951304,0.00024206187,0.00011568355,0.0002712946,0.00015722153],"domain_scores_gemma":[0.9995799,0.000117651594,0.000057782807,0.000026773714,0.000126667,0.0000912061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000402516,0.00009428166,0.00016754997,0.0005347663,0.00008772636,0.0003280426,0.00008137028,0.000042028994,0.00009921778],"category_scores_gemma":[0.000023066355,0.0000682335,0.00003963975,0.00019780562,0.000020216365,0.0003917444,0.000014489458,0.00013020281,0.0000024571618],"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":[0.000046475612,0.0000022909376,0.9668521,0.000021759484,0.00051456376,0.0014212353,0.0056964736,0.00021993343,2.3094117e-7,0.000017423916,0.000622055,0.024585431],"study_design_scores_gemma":[0.00022620022,0.000041950145,0.89226735,0.00011715263,0.00010747273,0.000091917966,0.0023962304,0.0045717377,0.00001301826,0.00015131745,0.09989054,0.00012509718],"about_ca_topic_score_codex":0.00048002444,"about_ca_topic_score_gemma":0.00012127181,"teacher_disagreement_score":0.09926849,"about_ca_system_score_codex":0.000012539856,"about_ca_system_score_gemma":0.00007133749,"threshold_uncertainty_score":0.31633225},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65126264,0.001016214,0.34656447,0.00021929298,0.00014778327,0.000047209756,0.000040405426,0.000030542833,0.0006714226],"genre_scores_gemma":[0.9926083,0.0011069503,0.0060980325,0.000010286562,0.00002279423,2.1683345e-8,0.000050146904,0.0000014490414,0.000101987855],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999142,0.00004088565,0.00015465368,0.00033901507,0.00019641727,0.00012704014],"domain_scores_gemma":[0.9996483,0.00007877967,0.00002791047,0.0001994158,0.000001945712,0.000043666267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002853947,0.000078341014,0.00011169243,0.00019653073,0.00014457491,0.00004602324,0.00009843907,0.00003673549,0.00009942099],"category_scores_gemma":[0.0000015069214,0.000061691426,0.000030277479,0.00051980873,0.00014131212,0.0001942608,0.0000020444606,0.00006175331,0.0000058806772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006626435,0.0000047001477,0.010407945,0.000004843317,0.00001965891,0.000002462469,0.00006556741,0.25464168,0.000012602203,0.0000040296018,6.0366096e-7,0.7348293],"study_design_scores_gemma":[0.000039602357,0.000044143897,0.06316288,0.000023888482,0.00004530316,0.000002803836,0.000075614,0.9339538,0.00023830541,0.00011380153,0.0022274929,0.00007236041],"about_ca_topic_score_codex":0.010560869,"about_ca_topic_score_gemma":0.0070597124,"teacher_disagreement_score":0.73475695,"about_ca_system_score_codex":0.0000017099827,"about_ca_system_score_gemma":0.000013334616,"threshold_uncertainty_score":0.9960279},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673612,0.00018174792,0.031486806,0.0004266154,0.000205027,0.00020889143,0.000021305865,0.000022980157,0.00008541592],"genre_scores_gemma":[0.9680656,0.00025248915,0.031203954,0.00007619197,0.000276597,2.3118472e-8,0.00004263397,0.000007844411,0.000074625605],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904317,0.00004719493,0.00035065715,0.00020373482,0.00016987725,0.00018537452],"domain_scores_gemma":[0.99908763,0.00037549765,0.00013610051,0.000080112244,0.00024392577,0.000076704906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036147737,0.00013430709,0.00019832203,0.00019366646,0.00014974737,0.00029547283,0.000029992556,0.000106910426,0.0000035040644],"category_scores_gemma":[0.000068471934,0.0000976339,0.000020033167,0.00037876927,0.00006302778,0.00018943095,0.0000021144263,0.00028507222,4.0502331e-7],"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":[0.0012446613,0.000033132597,0.019293696,0.00028539667,0.00014925461,0.00007844193,0.000699473,0.08275316,0.00865139,0.00015994628,0.00012223452,0.8865292],"study_design_scores_gemma":[0.0005441464,0.00029084252,0.17969273,0.00018096674,0.00004912853,0.000127394,0.000095452626,0.81597775,0.0010968655,0.0004993751,0.0012889609,0.00015637749],"about_ca_topic_score_codex":0.0005927839,"about_ca_topic_score_gemma":0.004738913,"teacher_disagreement_score":0.88637286,"about_ca_system_score_codex":0.00001023259,"about_ca_system_score_gemma":0.00020388904,"threshold_uncertainty_score":0.3981395},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.624315,0.00011358012,0.0011472465,0.0011958255,0.00037924328,0.00006759006,0.000007933826,0.000047083395,0.37272647],"genre_scores_gemma":[0.9954853,0.000014263293,0.001109988,0.0013059154,0.000017090357,1.3144168e-8,0.000016460363,0.0000010351924,0.0020499278],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994799,0.000034785753,0.00012075738,0.00012665686,0.00010711003,0.00013077715],"domain_scores_gemma":[0.9996178,0.00015738039,0.00002033772,0.00014969624,0.000012920416,0.000041822794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013463682,0.00006828585,0.0001136759,0.00010890616,0.00005786916,0.000018037237,0.00006742256,0.000035188845,0.00059124024],"category_scores_gemma":[0.000018798417,0.000045730623,0.000051145857,0.00012835713,0.000024994613,0.00003234714,0.0000021252206,0.000060487917,0.00004511661],"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":[0.00033770732,0.00011770871,0.39126042,0.00016737437,0.00006122682,0.000027432334,0.0001918658,0.01889474,0.00097252603,0.000914818,0.030297674,0.5567565],"study_design_scores_gemma":[0.0010447587,0.00036169298,0.50756186,0.00033151163,0.000034590157,0.000004912929,0.00022986888,0.4559218,0.008337504,0.0021778434,0.023682648,0.00031097184],"about_ca_topic_score_codex":0.001712761,"about_ca_topic_score_gemma":0.00056789606,"teacher_disagreement_score":0.55644554,"about_ca_system_score_codex":0.0000015955665,"about_ca_system_score_gemma":0.000032688768,"threshold_uncertainty_score":0.6473666},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00404978,0.000107659456,2.8321213e-7,0.00020646554,0.000004204151,0.00007901335,0.000019999541,0.00010389575,0.9954287],"genre_scores_gemma":[0.0006632006,0.0000010696463,0.00014545856,0.000087206536,0.00019081753,7.49618e-8,0.000054904853,0.000004752584,0.9988525],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991488,0.000045748307,0.00012987522,0.00021066249,0.00017274445,0.00029217303],"domain_scores_gemma":[0.99949175,0.00005513206,0.000017896256,0.00021727443,0.000017183906,0.00020077989],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00013179789,0.000119013304,0.00013493844,0.000049955186,0.00018736109,0.000054880467,0.00015252962,0.000055463708,0.9992725],"category_scores_gemma":[0.000018188335,0.00009264313,0.000049710172,0.00016915504,0.000026496464,0.000084219566,0.0000060838797,0.00009583993,0.9997104],"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":[0.00005670077,0.0000066963657,0.0000027516994,0.0000019155812,0.0000062862096,0.00001168051,0.00002638313,0.00073714124,2.9545055e-7,3.75735e-8,0.032984924,0.9661652],"study_design_scores_gemma":[0.0001367739,0.00012674155,0.0004435692,0.00001058741,0.000008500433,0.000018873287,0.0000012220481,0.0035788876,0.000010921887,0.000008219151,0.9954998,0.00015590175],"about_ca_topic_score_codex":0.00082771364,"about_ca_topic_score_gemma":0.000021169108,"teacher_disagreement_score":0.96600926,"about_ca_system_score_codex":0.0000022522543,"about_ca_system_score_gemma":0.000018941457,"threshold_uncertainty_score":0.37778774},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075153247,0.00015201725,2.4091244e-7,0.00019610746,0.0000046204914,0.000077820834,0.000026130005,0.00010525598,0.9919225],"genre_scores_gemma":[0.0013878444,0.000001467341,0.00016023891,0.00009159272,0.00019843483,7.1200695e-8,0.00007904279,0.0000047314306,0.99807656],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991546,0.000045160843,0.00012847481,0.0002098893,0.00017124166,0.00029059686],"domain_scores_gemma":[0.99949545,0.00005444634,0.00001757345,0.00021629379,0.000016802269,0.00019943768],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012985434,0.00011759004,0.00013340575,0.000038631373,0.00011542967,0.000069009184,0.00015163825,0.000055371158,0.99866873],"category_scores_gemma":[0.00001763267,0.00009141131,0.00004897825,0.00017029693,0.00002620501,0.00008354135,0.0000040140335,0.00009404809,0.99830854],"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":[0.00004516551,0.000005957589,0.0000046139285,0.0000017172147,0.0000056302106,0.000010804135,0.000015145081,0.00073877675,8.904288e-7,3.758611e-8,0.149673,0.8494983],"study_design_scores_gemma":[0.0001225635,0.00012406443,0.0014646052,0.000010365865,0.000008353314,0.000020903075,0.0000011597859,0.004600004,0.000009608885,0.00000848137,0.9934757,0.00015421091],"about_ca_topic_score_codex":0.0008347,"about_ca_topic_score_gemma":0.00001803501,"teacher_disagreement_score":0.8493441,"about_ca_system_score_codex":0.0000021981136,"about_ca_system_score_gemma":0.000018950326,"threshold_uncertainty_score":0.37276453},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929471,0.00001963321,0.0006788589,0.00036524216,0.00011587043,0.00026086895,0.000019165498,0.00002596593,0.005567292],"genre_scores_gemma":[0.9977485,0.000002668902,0.0008587032,0.0011202738,0.00006037883,6.1812233e-7,0.00004906661,0.000003356996,0.00015642654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899644,0.00011245825,0.00017506558,0.0002448337,0.00030516466,0.00016606091],"domain_scores_gemma":[0.99907124,0.0005381427,0.00009450783,0.00020507153,0.000038583716,0.00005245638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040096487,0.00011270418,0.00016411395,0.00010227046,0.00026354002,0.00004813091,0.00018778846,0.00004617094,0.00015192208],"category_scores_gemma":[0.000054555356,0.00007204289,0.000062849285,0.00018841277,0.000087786946,0.00008436219,0.0000048903266,0.000104038896,0.0000062468607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023979703,0.0005863661,0.14253555,0.000030057248,0.000083352395,0.00003637103,0.004762609,0.8103448,0.000112623864,0.002463859,0.005647912,0.030998476],"study_design_scores_gemma":[0.001906152,0.00042294245,0.2988578,0.000048545047,0.00003247767,0.000004169723,0.00041451034,0.6941426,0.000037077225,0.0021938242,0.0018358366,0.00010408061],"about_ca_topic_score_codex":0.013990328,"about_ca_topic_score_gemma":0.0035278054,"teacher_disagreement_score":0.15632226,"about_ca_system_score_codex":0.0000051276875,"about_ca_system_score_gemma":0.00007175069,"threshold_uncertainty_score":0.9925756},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94567263,0.00003415351,0.05152376,0.000557906,0.0011121042,0.000054280874,0.00021583137,0.00001599973,0.0008133334],"genre_scores_gemma":[0.9959417,0.000020019124,0.0030507392,0.00022476168,0.0003218447,5.7535814e-8,0.00037326248,0.0000039119814,0.0000637196],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880373,0.000049435872,0.0003777217,0.00017328087,0.000465841,0.00012999513],"domain_scores_gemma":[0.9993589,0.000115341136,0.0001638571,0.00013325797,0.00015451686,0.000074141426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002374141,0.00011132669,0.00013296511,0.00023174584,0.00008142928,0.00036921483,0.00031339104,0.000033356053,0.00006710934],"category_scores_gemma":[0.00007223093,0.00009227251,0.00007699437,0.00008264193,0.000031338972,0.001759406,0.000009533422,0.00017133445,0.0000078601315],"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":[0.0003360179,0.00015778081,0.38646728,0.000017844792,0.00009895579,0.00009914641,0.0002046145,0.29641604,0.0003191891,0.0000075362823,0.00007706078,0.31579852],"study_design_scores_gemma":[0.000906392,0.000107327294,0.31617486,0.00036823284,0.00001763354,0.00004363279,0.00011183955,0.6801353,0.00045661995,0.000022417107,0.0015332416,0.000122481],"about_ca_topic_score_codex":0.00036185895,"about_ca_topic_score_gemma":0.0008163113,"teacher_disagreement_score":0.38371927,"about_ca_system_score_codex":0.000012152737,"about_ca_system_score_gemma":0.00014686523,"threshold_uncertainty_score":0.37627637},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95917606,0.0018464836,0.03774969,0.0005567037,0.000081948514,0.00027453413,0.000009496478,0.00002403355,0.00028104032],"genre_scores_gemma":[0.9967767,0.0013329101,0.0013929581,0.00017480653,0.000029843826,8.4862137e-7,0.000058659927,0.0000019263728,0.00023136035],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993627,0.000012387648,0.000095348914,0.00023206737,0.000068145295,0.0002293427],"domain_scores_gemma":[0.9997902,0.00003779461,0.00002114092,0.000053904925,0.000020383288,0.000076593264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005915542,0.0001234777,0.00012460185,0.000053462318,0.00019427123,0.00005538969,0.000041516087,0.00006842852,9.1963665e-7],"category_scores_gemma":[0.0000030488438,0.000069454654,0.000025695643,0.00012657979,0.00002231763,0.000081314305,0.000003912575,0.00013401863,1.9172231e-7],"study_design_candidate":"design_other","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":[0.00078707095,0.000053019747,0.018215837,0.00013910992,0.000027370696,0.000004659902,0.00044080426,0.034945417,0.0012620625,0.00019665036,0.00056167913,0.9433663],"study_design_scores_gemma":[0.00096549094,0.0001674322,0.102601685,0.000073012285,0.000026937914,0.0000082638535,0.00003591089,0.8920108,0.000095499294,0.0011492055,0.0027199404,0.00014582298],"about_ca_topic_score_codex":0.00016413824,"about_ca_topic_score_gemma":0.0054825237,"teacher_disagreement_score":0.9432205,"about_ca_system_score_codex":0.000009764785,"about_ca_system_score_gemma":0.000026858888,"threshold_uncertainty_score":0.30593768},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5056305,0.0035981436,0.483661,0.0031397273,0.00059602846,0.00047549867,0.0009859834,0.00012208048,0.001791076],"genre_scores_gemma":[0.91240036,0.00077887287,0.083482236,0.00030253074,0.0008722817,5.0994345e-7,0.00088839873,0.000018497705,0.0012563241],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99528474,0.00080367655,0.00044587115,0.0007790543,0.0006073859,0.0020792992],"domain_scores_gemma":[0.9981292,0.00057069864,0.0003229901,0.0005820871,0.00021534064,0.00017970812],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005665592,0.00035761902,0.00054838747,0.00013464293,0.00041992622,0.00036871457,0.0011971615,0.00022799149,0.00004887626],"category_scores_gemma":[0.00045771874,0.00025413992,0.00009917189,0.0004121794,0.00003631592,0.00016362344,0.00032828152,0.0041688317,0.00001375826],"study_design_candidate":"design_other","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":[0.0005090585,0.000055678418,0.042202484,0.00006516977,0.001805865,0.00002544292,0.00048413393,0.0028558176,0.00019800833,0.00031784564,0.0033835042,0.948097],"study_design_scores_gemma":[0.004644335,0.002353589,0.30052266,0.0031058523,0.0033338775,0.001508548,0.0035593312,0.23793696,0.0026714555,0.38922253,0.044675373,0.0064654797],"about_ca_topic_score_codex":0.0063034473,"about_ca_topic_score_gemma":0.014379528,"teacher_disagreement_score":0.9416315,"about_ca_system_score_codex":0.00013419767,"about_ca_system_score_gemma":0.0046909642,"threshold_uncertainty_score":0.99999106},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9561698,0.00009125153,0.03541232,0.0013305399,0.00038520852,0.00023537979,0.00015913164,0.00007723578,0.0061391373],"genre_scores_gemma":[0.9850313,0.000009027545,0.013116244,0.0011571537,0.00030983042,2.909208e-8,0.00007321486,0.0000067914634,0.000296375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829936,0.00024939066,0.00031446593,0.0003621153,0.0004375051,0.00033713898],"domain_scores_gemma":[0.9987673,0.0006910574,0.00011442845,0.00031344927,0.000045617333,0.000068142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004915305,0.0002355632,0.0002937961,0.00007826316,0.00023437788,0.000081586426,0.00024335507,0.00007372562,0.00013174883],"category_scores_gemma":[0.000057878806,0.0001489009,0.00018315231,0.00018909501,0.00013435786,0.000064451546,0.000012608366,0.00031743926,0.000029218243],"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":[0.00059131515,0.0001894462,0.001007908,0.000041207873,0.00015491917,0.000076455464,0.002395571,0.8557947,0.011780124,0.00029896406,0.0053232885,0.122346066],"study_design_scores_gemma":[0.000741617,0.00009236025,0.0066875163,0.00011697121,0.000053930697,0.0000018101819,0.00017280383,0.98203975,0.0071651447,0.0024897496,0.00030581802,0.00013251347],"about_ca_topic_score_codex":0.0026973784,"about_ca_topic_score_gemma":0.0003457165,"teacher_disagreement_score":0.12624502,"about_ca_system_score_codex":0.000010380763,"about_ca_system_score_gemma":0.00009301397,"threshold_uncertainty_score":0.60720026},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2950681,0.0034299933,0.015838122,0.0050995466,0.012208945,0.004661862,0.3103129,0.0004880768,0.35289246],"genre_scores_gemma":[0.59207535,0.0004351763,0.051030327,0.0074172546,0.0020704598,0.000006625381,0.3415123,0.000020341395,0.0054321787],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982538,0.000052669588,0.0003699231,0.0006062492,0.0003487552,0.0003685729],"domain_scores_gemma":[0.9979656,0.0011795787,0.00016001589,0.00032983389,0.00024498647,0.0001199952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002809396,0.0002959338,0.0003608954,0.00016789441,0.00025787362,0.0002025596,0.0003380251,0.00026801578,0.0008904385],"category_scores_gemma":[0.0002806412,0.00023628805,0.00015458124,0.00011879738,0.000058087448,0.00007965619,0.00010510788,0.00039313725,0.000041813968],"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":[0.00018559188,0.000038665734,0.007120978,0.00067802804,0.00025169234,0.000029095658,0.0001975778,0.09333503,0.000015033801,0.00016953459,0.7659471,0.13203168],"study_design_scores_gemma":[0.0004612472,0.000107690634,0.01690882,0.0003941141,0.00009805077,0.00003108482,0.000108748354,0.7546961,0.00012544628,0.006897351,0.21944727,0.00072410837],"about_ca_topic_score_codex":0.0044425204,"about_ca_topic_score_gemma":0.005329047,"teacher_disagreement_score":0.66136104,"about_ca_system_score_codex":0.000008580377,"about_ca_system_score_gemma":0.00034045265,"threshold_uncertainty_score":0.9749677},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7530625,0.0016399061,0.030097583,0.0018484367,0.016660921,0.000064462816,0.0000037018558,0.000018191879,0.19660433],"genre_scores_gemma":[0.9845038,0.000028028722,0.013065614,0.00051767466,0.0002196534,3.000608e-11,0.0000025488725,0.0000020487316,0.00166064],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993963,0.000048594127,0.00019875697,0.00007186787,0.00008090948,0.00020353701],"domain_scores_gemma":[0.9993703,0.00007024757,0.000089559464,0.00008715361,0.00012020037,0.00026255977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000243361,0.000068939524,0.00013172637,0.0003396138,0.00018058134,0.00008003535,0.000067384666,0.000054653432,0.000074547694],"category_scores_gemma":[0.00019380101,0.000057002148,0.00006613839,0.00026394727,0.000042991956,0.00007579516,7.7413057e-7,0.00020672953,0.000020670259],"study_design_candidate":"design_other","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":[0.000007547686,2.00381e-7,0.0030957684,0.0000025521722,0.000012346216,0.00015375881,0.00008863238,0.0004626854,0.000007314987,0.0000015227972,0.008651925,0.98751575],"study_design_scores_gemma":[0.0004216356,0.000103877435,0.16145824,0.00059763127,0.0000632498,0.0019360281,0.0005357329,0.273335,0.00044986382,0.0017214308,0.5591562,0.00022112392],"about_ca_topic_score_codex":0.07770114,"about_ca_topic_score_gemma":0.32644925,"teacher_disagreement_score":0.9872946,"about_ca_system_score_codex":0.0000181768,"about_ca_system_score_gemma":0.0007400698,"threshold_uncertainty_score":0.9284405},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778406,0.0004897025,0.017484121,0.0004700527,0.0003593296,0.001011391,0.00020303902,0.00006382622,0.0020779113],"genre_scores_gemma":[0.9909781,0.00022610645,0.0073583964,0.00008221434,0.00015023671,0.0000016856092,0.0006011205,0.0000055098412,0.00059657864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984754,0.0000731647,0.00043996895,0.00058167067,0.00019373144,0.00023607166],"domain_scores_gemma":[0.9990341,0.0001379418,0.00023507835,0.00036162985,0.00017949476,0.0000517555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003857493,0.00023291154,0.00041957106,0.00017524048,0.000105782914,0.000058879312,0.00011262003,0.00034595374,0.000011084451],"category_scores_gemma":[0.00014358138,0.00019116254,0.00006788592,0.0001620755,0.00005810171,0.0000559982,0.000029596917,0.00032379344,0.0000013053128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000888262,0.00007846803,0.14706746,0.0039950944,0.00014305227,0.0000019829522,0.003919277,0.6971993,0.00047889436,0.00017011254,0.0011371551,0.14492099],"study_design_scores_gemma":[0.0005728453,0.000106737214,0.06710091,0.00041663463,0.00006893412,0.000007969548,0.00014495164,0.9245777,0.00074242905,0.0037356995,0.0021302619,0.00039492972],"about_ca_topic_score_codex":0.0129491845,"about_ca_topic_score_gemma":0.08053679,"teacher_disagreement_score":0.22737843,"about_ca_system_score_codex":0.000009560883,"about_ca_system_score_gemma":0.00014662856,"threshold_uncertainty_score":0.9936237},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64054036,0.014630488,0.0045288866,0.0024815782,0.0015501828,0.00053774356,0.0003477381,0.00032708896,0.33505592],"genre_scores_gemma":[0.9924653,0.00026174428,0.003183093,0.0001850931,0.0002363245,2.588431e-7,0.0000768019,0.0000029294672,0.0035884539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987498,0.00008810217,0.00017375953,0.000536849,0.000183623,0.0002678951],"domain_scores_gemma":[0.99936545,0.00009270229,0.000068375506,0.000271981,0.000088517394,0.00011294614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022857962,0.00023064177,0.00028436014,0.00017164566,0.0001809073,0.00016158666,0.00016437612,0.00022815802,0.00048716384],"category_scores_gemma":[0.00005642488,0.00017922363,0.00008865684,0.00014144904,0.00006336874,0.000053954875,0.00008294679,0.0004362821,0.00002586817],"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":[0.00037242714,0.00006335591,0.80535376,0.00050813716,0.0007416044,0.00016667042,0.0030755696,0.04688339,0.000020562684,0.015504063,0.017079664,0.11023082],"study_design_scores_gemma":[0.0010190284,0.00017097531,0.45425707,0.00047326626,0.00026944632,0.00013458928,0.005596678,0.443093,0.000034742385,0.083891355,0.009801994,0.0012578572],"about_ca_topic_score_codex":0.0147283925,"about_ca_topic_score_gemma":0.0047608907,"teacher_disagreement_score":0.39620963,"about_ca_system_score_codex":0.000021915921,"about_ca_system_score_gemma":0.00021472812,"threshold_uncertainty_score":0.9918326},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772686,0.0003514326,0.00033275044,0.0006860881,0.00061673165,0.000019106594,0.000010697277,0.0000131040715,0.00024324894],"genre_scores_gemma":[0.99898565,0.00012528802,0.0005468772,0.000035858822,0.00027569392,2.5590943e-8,0.000017047289,6.738051e-7,0.000012870034],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995699,0.000010354521,0.00017175305,0.000067934554,0.00012096324,0.000059124217],"domain_scores_gemma":[0.99971306,0.00011508753,0.000049369595,0.000017831528,0.00006325437,0.000041374133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009946588,0.000061139915,0.000085014304,0.00005659556,0.000010718133,0.000040270093,0.000082038154,0.000042303163,0.000035232813],"category_scores_gemma":[0.00004451817,0.000026468177,0.000059569054,0.00005822089,0.00001560077,0.00006378702,0.0000030463214,0.00010933171,0.0000020637185],"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":[0.00036933215,0.00009501852,0.049592163,0.0000781484,0.00033241586,0.000101593796,0.00020833407,0.2163165,0.18045974,0.0007704555,0.0005478491,0.55112845],"study_design_scores_gemma":[0.00010191291,0.00023370047,0.86201096,0.00010390254,0.0000052028513,0.000068212204,0.000022367909,0.13575318,0.00048524828,0.000019249323,0.0011441727,0.00005190871],"about_ca_topic_score_codex":0.000023024239,"about_ca_topic_score_gemma":0.0000039426272,"teacher_disagreement_score":0.81241876,"about_ca_system_score_codex":0.0000041677827,"about_ca_system_score_gemma":0.000006864208,"threshold_uncertainty_score":0.10793409},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9318532,0.00005015283,0.048330165,0.008842056,0.0025608994,0.000502508,0.000029303617,0.00008690437,0.0077448096],"genre_scores_gemma":[0.9957484,0.000014180075,0.0040649595,0.00007796826,0.00007509479,1.3689271e-7,0.00000982949,0.0000019167194,0.0000074861146],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852633,0.000017598566,0.00016504993,0.00031183468,0.00066393614,0.00031522653],"domain_scores_gemma":[0.99927366,0.0002196962,0.000027525315,0.0002404336,0.00018207252,0.000056623514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002626167,0.0000780225,0.00009293935,0.0014173426,0.00022852026,0.00021486402,0.0007518731,0.00005826,6.1095784e-7],"category_scores_gemma":[0.00063649553,0.00006442515,0.000009844015,0.001170761,0.00015858393,0.00006485738,0.000064246815,0.00041471285,0.0000034989878],"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":[0.00010177214,0.000022905779,0.0026029004,0.000005384289,0.000009968552,0.0000508639,0.0000176663,0.031059366,0.00010811584,0.0015024532,0.000047305162,0.9644713],"study_design_scores_gemma":[0.00049786764,0.00016619875,0.01737445,0.00010197378,0.0000018018335,0.00002195372,0.0002359509,0.97393733,0.00005494344,0.0066710874,0.000873235,0.00006318065],"about_ca_topic_score_codex":0.00011196723,"about_ca_topic_score_gemma":0.00044020897,"teacher_disagreement_score":0.9644081,"about_ca_system_score_codex":0.00011524999,"about_ca_system_score_gemma":0.00020175832,"threshold_uncertainty_score":0.2627181},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955774,0.00032226948,0.0029233964,0.0006849384,0.00009612036,0.0001237991,0.000009321616,0.000008664784,0.0002541198],"genre_scores_gemma":[0.9986363,0.00006038235,0.00041078104,0.00051979796,0.00007994695,9.9288286e-8,0.00012570868,0.000002660016,0.00016429418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987537,0.00024065573,0.00016249997,0.00019045282,0.0003938605,0.00025882816],"domain_scores_gemma":[0.99920267,0.0005372593,0.00004361361,0.00015830317,0.000008549359,0.00004960399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005815624,0.00007377865,0.000099678145,0.000110003,0.00016910082,0.00002729471,0.000109747845,0.00004639017,0.00013071527],"category_scores_gemma":[0.000054553806,0.00006606896,0.000038818365,0.00021131862,0.00019497941,0.00010584261,0.000014433101,0.00018546802,0.0000119135575],"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":[0.000035189074,0.000006827467,0.44516063,0.0000042232414,0.000008154686,0.0000023919038,0.00004392572,0.5445409,0.0010005031,0.0000015682679,0.00046425383,0.008731446],"study_design_scores_gemma":[0.00010859379,0.000014443416,0.5001881,0.000014229356,0.0000012661471,3.337943e-7,0.000029474046,0.4978282,0.000031722804,0.000015517799,0.0017287931,0.000039310686],"about_ca_topic_score_codex":0.0011213567,"about_ca_topic_score_gemma":0.000119282515,"teacher_disagreement_score":0.05502748,"about_ca_system_score_codex":0.000027367889,"about_ca_system_score_gemma":0.000017382023,"threshold_uncertainty_score":0.26942143},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96335924,0.028572468,0.00004371028,0.0002847121,0.00028132222,0.00015321774,0.000046742247,0.000011764868,0.0072468063],"genre_scores_gemma":[0.97201926,0.026892284,0.000007797398,0.000014696727,0.00018417081,8.5126885e-8,0.000012816808,0.0000027907033,0.00086612505],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99819016,0.0001644211,0.0002561761,0.00019335686,0.0002140515,0.0009818337],"domain_scores_gemma":[0.99941427,0.00012653417,0.00012402855,0.00021200911,0.0000540352,0.000069152826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008801667,0.00021117904,0.00025704538,0.000115097726,0.00032216476,0.00018025842,0.00024135939,0.0001238724,0.000014591896],"category_scores_gemma":[0.00004507617,0.00009924105,0.00020975759,0.000086182954,0.0001061392,0.00004145641,0.00001617442,0.0021720228,0.0000018282152],"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":[0.0016774914,0.00008411829,0.3026524,0.00011119016,0.00244823,0.000012398739,0.0014122371,0.03329095,0.000044289245,0.0024445017,0.0029705958,0.6528516],"study_design_scores_gemma":[0.0023088877,0.007753954,0.5221326,0.0023685263,0.00040772857,0.00092250895,0.0030896238,0.0548607,0.00027955676,0.40230498,0.002119355,0.0014516178],"about_ca_topic_score_codex":0.006832737,"about_ca_topic_score_gemma":0.032508593,"teacher_disagreement_score":0.65139997,"about_ca_system_score_codex":0.000029412065,"about_ca_system_score_gemma":0.0019992532,"threshold_uncertainty_score":0.99978083},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98874944,0.00008507827,0.0061422084,0.00024415212,0.0036044305,0.00021582822,0.0000035951894,0.0000060576467,0.00094921753],"genre_scores_gemma":[0.9973801,0.000025171345,0.0022987272,0.000025924932,0.00026169236,1.3727151e-7,0.0000013799917,0.0000048365937,0.0000020817713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800175,0.00043251985,0.0006109273,0.0001690545,0.0005551581,0.00023058153],"domain_scores_gemma":[0.9969793,0.0021905582,0.00035631572,0.00016960377,0.00023607467,0.00006813353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023464302,0.00014687792,0.00037604797,0.00040643927,0.00021982397,0.00007918477,0.0001950564,0.00013810722,0.000009147117],"category_scores_gemma":[0.000411418,0.00010172182,0.000058121896,0.00034260674,0.000106839376,0.00004104191,0.000031706946,0.00048633778,7.7982537e-7],"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":[0.0010486572,0.001077628,0.009948255,0.000388765,0.00014838662,0.00016589949,0.0012413914,0.02580404,0.00045868868,0.871476,0.00020935788,0.08803295],"study_design_scores_gemma":[0.0025279527,0.0017553755,0.015479052,0.00067141687,0.000032066015,0.000018763429,0.00068362034,0.61557436,0.00048580073,0.3626247,0.000014511055,0.00013240484],"about_ca_topic_score_codex":0.0006611087,"about_ca_topic_score_gemma":0.000023247032,"teacher_disagreement_score":0.5897703,"about_ca_system_score_codex":0.00003497631,"about_ca_system_score_gemma":0.00014661408,"threshold_uncertainty_score":0.41480955},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97294086,0.00008567094,0.017329568,0.00045235068,0.004753273,0.0002705897,0.000005103851,0.000018389548,0.0041442127],"genre_scores_gemma":[0.9945955,0.000054760065,0.0049766465,0.000027553619,0.00030712012,6.301615e-8,0.0000041365697,0.000006736557,0.000027435693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815,0.0001991927,0.00058651,0.00018217484,0.0006701339,0.00021201318],"domain_scores_gemma":[0.9980484,0.00085585733,0.00040158053,0.00017039977,0.00040123478,0.00012251046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019894345,0.00016706737,0.0004219413,0.00040375374,0.00025523792,0.00010476093,0.00016411176,0.0001395863,0.000014396121],"category_scores_gemma":[0.00026896715,0.00012243314,0.00007732347,0.00030006334,0.00009130961,0.00007926669,0.000030742827,0.000445927,0.0000011107228],"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":[0.0027382902,0.0012752512,0.0051025376,0.0010560772,0.00014564818,0.000032979147,0.0038656383,0.74216473,0.00041351814,0.19712448,0.0018585151,0.044222318],"study_design_scores_gemma":[0.0014707507,0.0015667366,0.00061768247,0.00086363166,0.000033659755,0.0000052419673,0.00033339183,0.95507216,0.00023947188,0.039624184,0.000057403595,0.000115671704],"about_ca_topic_score_codex":0.00006672303,"about_ca_topic_score_gemma":0.000001687672,"teacher_disagreement_score":0.21290742,"about_ca_system_score_codex":0.00002436909,"about_ca_system_score_gemma":0.00014568647,"threshold_uncertainty_score":0.49926785},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685586,0.001371525,0.027298264,0.000047830552,0.0023646224,0.00019890525,0.0000061442374,0.000014760902,0.00013934396],"genre_scores_gemma":[0.99845093,0.00008083078,0.0011104101,0.0000042378397,0.00033764663,1.2631935e-7,0.000005428657,0.000007848628,0.0000025610027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980967,0.00026526692,0.0006605767,0.0002158317,0.0004444983,0.00031713],"domain_scores_gemma":[0.99708605,0.0017457334,0.000514842,0.00014133977,0.00036953235,0.00014247636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002280454,0.00023058023,0.00063582644,0.00030234703,0.00041794666,0.00028643754,0.00018586422,0.00013442953,0.000002834638],"category_scores_gemma":[0.00025379568,0.00016277416,0.00005104222,0.00037939698,0.00016469092,0.00020656911,0.000064596155,0.00051397167,1.04299545e-7],"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":[0.004452373,0.00094781874,0.24441652,0.0031507546,0.0010522982,0.00018623575,0.014837409,0.0016763515,0.0014377453,0.6571715,0.00046740827,0.0702036],"study_design_scores_gemma":[0.01099175,0.0090772705,0.10612435,0.004427988,0.00028254336,0.00030367033,0.008233447,0.08470879,0.0017375856,0.77285975,0.00040786227,0.00084500364],"about_ca_topic_score_codex":0.0002750965,"about_ca_topic_score_gemma":0.0000064379306,"teacher_disagreement_score":0.13829216,"about_ca_system_score_codex":0.000025083835,"about_ca_system_score_gemma":0.00017848816,"threshold_uncertainty_score":0.6637738},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8896709,0.00029076418,0.10606045,0.00007522291,0.0035290725,0.00022418716,0.000022436778,0.000015431937,0.00011153168],"genre_scores_gemma":[0.92202765,0.0001167255,0.07764174,0.0000085957545,0.00016178901,1.820041e-8,0.00002944311,0.000008974261,0.0000050712447],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789375,0.00011563641,0.0011379062,0.0002688918,0.00031890834,0.0002649307],"domain_scores_gemma":[0.99750245,0.0010465047,0.0008401471,0.00020155676,0.00031649173,0.00009286542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016023847,0.0002272892,0.00071021775,0.00028251426,0.00021958757,0.00020474385,0.0002635127,0.0001451087,0.000002544957],"category_scores_gemma":[0.0004700958,0.00020832794,0.00007220352,0.0002772245,0.00018265413,0.00030507505,0.000103238744,0.00031668018,3.2784172e-7],"study_design_candidate":"design_other","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":[0.0029209733,0.0003463483,0.016922984,0.002143664,0.0005888788,0.000069188965,0.007979935,0.0370458,0.0004993387,0.05174107,0.000021085409,0.87972075],"study_design_scores_gemma":[0.0015282857,0.00027642254,0.0018274643,0.0008088301,0.000070687434,0.00007834983,0.00019307973,0.75196177,0.000051857787,0.24302948,0.000021446956,0.00015231567],"about_ca_topic_score_codex":0.00004440625,"about_ca_topic_score_gemma":0.000052765583,"teacher_disagreement_score":0.8795684,"about_ca_system_score_codex":0.000013830037,"about_ca_system_score_gemma":0.00017861916,"threshold_uncertainty_score":0.84953666},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717586,0.00047571128,0.01838561,0.00018572781,0.008507458,0.00018982695,0.0000028955803,0.00005237152,0.00044180852],"genre_scores_gemma":[0.9969515,0.000032913093,0.002557914,0.000042232325,0.00040538906,1.3110518e-8,0.0000034113891,0.0000052220116,0.0000013608585],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862456,0.000133943,0.00060817745,0.00014704948,0.00030821853,0.00017805213],"domain_scores_gemma":[0.99820805,0.00069019187,0.00062544685,0.00011655383,0.0002868146,0.00007297081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088286196,0.000162649,0.00040723427,0.0002209582,0.00022227685,0.000100998994,0.00009244605,0.00012726127,0.0000018434743],"category_scores_gemma":[0.0002427575,0.00013423206,0.000076671124,0.000290409,0.00008951046,0.00010146319,0.000017341776,0.00028551507,2.399093e-7],"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":[0.0014122801,0.00033729794,0.0065659718,0.00078801654,0.00025154313,0.000050301493,0.0009984063,0.01046476,0.0015468836,0.016335754,0.00014500419,0.9611038],"study_design_scores_gemma":[0.0016572361,0.00040405072,0.02466643,0.00036776377,0.000059514725,0.000031213967,0.00007537084,0.95490044,0.00018955853,0.01748429,0.00005057824,0.00011354454],"about_ca_topic_score_codex":0.00012369048,"about_ca_topic_score_gemma":0.0000034398354,"teacher_disagreement_score":0.96099025,"about_ca_system_score_codex":0.000013861524,"about_ca_system_score_gemma":0.00004648237,"threshold_uncertainty_score":0.5473825},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729582,0.00025229796,0.011646821,0.0003382373,0.013995485,0.00019592338,0.000023114151,0.000024843159,0.0005650991],"genre_scores_gemma":[0.996259,0.000057730085,0.002311462,0.000084304294,0.0012294269,3.6693493e-8,0.000048884845,0.000006192017,0.0000030108497],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984498,0.00010881572,0.00063652254,0.0002278369,0.00034063088,0.00023641947],"domain_scores_gemma":[0.99858344,0.0005856052,0.00042244632,0.00024099434,0.000049169204,0.00011832291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010519036,0.00019106333,0.00039714455,0.00012366651,0.00030245676,0.00027339873,0.00029315305,0.00010373605,0.000018751703],"category_scores_gemma":[0.00013940454,0.00015335859,0.000048983995,0.00018733501,0.000067446184,0.00016849156,0.00007168051,0.00031923832,0.0000017100384],"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":[0.000921215,0.00079609366,0.030586515,0.00028308056,0.00020861332,0.000104626415,0.00064324064,0.018636707,0.00014629382,0.053017274,0.00038288053,0.89427346],"study_design_scores_gemma":[0.000625831,0.000448175,0.007694792,0.00020510891,0.000061136976,0.00002512694,0.00009728658,0.9120417,0.00003347319,0.07830707,0.00029572714,0.0001645743],"about_ca_topic_score_codex":0.000011881252,"about_ca_topic_score_gemma":0.0000016600538,"teacher_disagreement_score":0.8941089,"about_ca_system_score_codex":0.000007417244,"about_ca_system_score_gemma":0.00005545878,"threshold_uncertainty_score":0.6253782},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875108,0.0002546912,0.0075335037,0.0000435903,0.004115165,0.00012574055,0.0000026497405,0.000005062262,0.00040877025],"genre_scores_gemma":[0.9992843,0.000013900634,0.00030320082,0.0000059979047,0.00038405572,3.2703007e-8,0.0000038788075,0.0000033775284,0.0000012494436],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982277,0.000102080216,0.0010220015,0.000085747204,0.0004057769,0.00015665364],"domain_scores_gemma":[0.99754053,0.0010996494,0.00092792476,0.00012820058,0.0002628281,0.000040873387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014496994,0.00013162183,0.0005409152,0.00018252115,0.00009368715,0.000053014035,0.00021371146,0.000098575285,0.000005446363],"category_scores_gemma":[0.0004119359,0.000091122325,0.000099374876,0.00033313516,0.000055451415,0.000083511484,0.00001761779,0.00026955808,3.2066913e-7],"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":[0.0007118688,0.0007404041,0.86192703,0.00077409914,0.00014944677,0.000019782714,0.003872802,0.057911992,0.00012968462,0.061165094,0.000082291306,0.012515492],"study_design_scores_gemma":[0.002089744,0.000493944,0.10117408,0.00059256697,0.000070700495,0.000012887506,0.00094622164,0.8410118,0.0000536768,0.053378314,0.00005351578,0.00012255328],"about_ca_topic_score_codex":0.0005095028,"about_ca_topic_score_gemma":0.00000752696,"teacher_disagreement_score":0.78309983,"about_ca_system_score_codex":0.000013882404,"about_ca_system_score_gemma":0.00012929554,"threshold_uncertainty_score":0.37158605},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11294933,0.00017075193,0.88531786,0.00016705605,0.00032476833,0.000089887806,0.0004495543,0.000011655105,0.00051912],"genre_scores_gemma":[0.8255303,0.000039638024,0.17404382,0.000066736364,0.0000030464798,5.494492e-8,0.00026964035,7.3180416e-7,0.000046049714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989729,0.000027676553,0.00016252791,0.0003533585,0.00028926745,0.00019425437],"domain_scores_gemma":[0.99953437,0.00008375941,0.000043755917,0.00024398342,0.000035269084,0.000058861828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046643827,0.000078226454,0.000119458884,0.00016111672,0.0001442569,0.000043857723,0.00034865024,0.000031118554,0.0000053107506],"category_scores_gemma":[0.000068692745,0.0000644794,0.000012625224,0.00061701733,0.0005286022,0.00022279403,0.000027010326,0.00009491735,0.0000017816498],"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":[0.000015712794,0.00001324134,0.046572722,0.00000863852,0.0000011786627,0.0000014967841,0.000027589409,0.60858124,0.0000022174618,0.00004406175,0.00016680475,0.3445651],"study_design_scores_gemma":[0.00008198068,0.000025362164,0.21383905,0.000048625636,0.0000026357293,7.989115e-7,0.00003884047,0.7836459,0.000016479735,0.002149261,0.00009614679,0.00005489212],"about_ca_topic_score_codex":0.00019461648,"about_ca_topic_score_gemma":0.0003188771,"teacher_disagreement_score":0.712581,"about_ca_system_score_codex":0.00000679055,"about_ca_system_score_gemma":0.00023914276,"threshold_uncertainty_score":0.26293933},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7671825,0.000016816797,0.23182736,0.00012962616,0.00005785761,0.00011077774,0.000029265539,0.000009459266,0.0006363158],"genre_scores_gemma":[0.99908537,0.000010291903,0.00045528606,0.00004555875,0.000010345855,2.3577973e-8,0.00038010525,0.0000014545118,0.000011542613],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991681,0.000093866125,0.0002724729,0.000160835,0.00017299439,0.00013170567],"domain_scores_gemma":[0.99973375,0.00007081451,0.00007370688,0.000074190946,0.000018284501,0.000029278892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002888593,0.00010069979,0.00019585689,0.0006068919,0.00007362768,0.000033472636,0.00003156676,0.000047592475,0.00006492461],"category_scores_gemma":[0.000008797926,0.0000834645,0.00006224939,0.00046725495,0.00002866167,0.000078313875,0.000001474789,0.000076841374,9.4354743e-7],"study_design_candidate":"design_other","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":[0.0006161486,0.000044838394,0.13020425,0.00009936414,0.000146015,0.0000061522846,0.0008198446,0.17282349,0.0019046135,0.000007119915,0.0000135246,0.6933147],"study_design_scores_gemma":[0.00036659578,0.00004462689,0.490633,0.00004226256,0.000082877705,2.2240728e-7,0.00002021637,0.5086446,0.00006512152,0.00005588226,0.0000028545967,0.000041730254],"about_ca_topic_score_codex":0.0056076576,"about_ca_topic_score_gemma":0.011525196,"teacher_disagreement_score":0.69327295,"about_ca_system_score_codex":0.000014622908,"about_ca_system_score_gemma":0.000025553614,"threshold_uncertainty_score":0.8477138},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7852078,0.004800295,0.20888177,0.00003994508,0.0006800403,0.0001914838,0.00001539675,0.00002658134,0.00015669897],"genre_scores_gemma":[0.9922264,0.00044594266,0.0069837784,0.000040136125,0.00022068656,0.0000013692165,0.0000055968103,0.0000034848827,0.000072562674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999051,0.00007641636,0.00022621968,0.00030320842,0.000111314,0.00023184353],"domain_scores_gemma":[0.99927187,0.00046378217,0.00007160391,0.00011075074,0.000022961773,0.000059061553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032913082,0.00014221556,0.0002600156,0.000117978336,0.00016783191,0.00015232773,0.00007438793,0.000058781563,8.398049e-7],"category_scores_gemma":[0.000011110612,0.000108607936,0.000029312978,0.00008965356,0.000025701504,0.00016273936,0.00000678183,0.0001234317,4.489709e-7],"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":[0.000041079224,0.0000050800186,0.20927617,0.000046233923,0.000005211849,0.000004044167,0.000100117104,0.69496,0.0000049722294,0.000030055442,0.00001618535,0.09551085],"study_design_scores_gemma":[0.00052495825,0.00017517182,0.040283598,0.00032443952,0.000007735435,0.0000020485866,0.000033917775,0.9574792,0.00002244731,0.0006012277,0.00041652474,0.00012872259],"about_ca_topic_score_codex":0.0011241371,"about_ca_topic_score_gemma":0.00011572797,"teacher_disagreement_score":0.2625192,"about_ca_system_score_codex":0.000005254571,"about_ca_system_score_gemma":0.000018536373,"threshold_uncertainty_score":0.44289032},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99159145,0.00055174215,0.0006207387,0.00028114498,0.00043358613,0.00006775089,0.0000017652139,0.00000938579,0.0064424262],"genre_scores_gemma":[0.9916195,0.00011132099,0.007857838,0.00034299036,0.000062398205,9.794927e-8,0.0000012109704,0.0000026005525,0.0000020425448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986772,0.00022821466,0.0005049666,0.00019295076,0.00006968796,0.00032699853],"domain_scores_gemma":[0.9987136,0.0008310986,0.00024337966,0.00012070975,0.000027587563,0.00006361853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013344798,0.00013430468,0.00049924414,0.00022062856,0.0001485017,0.000021346423,0.0001284298,0.00029536558,0.00011915981],"category_scores_gemma":[0.00021153963,0.000099661156,0.00006067846,0.00021299439,0.00018717196,0.00006158805,0.000019078298,0.0006192585,0.0000023074076],"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":[0.0008858402,0.000032218224,0.96155185,0.000044540604,0.00006289469,0.00006141651,0.00070915406,0.0013834578,0.0007675349,0.0021129616,0.000006539386,0.0323816],"study_design_scores_gemma":[0.0010896862,0.00024085384,0.9319641,0.00006738597,0.00012200043,0.0006316193,0.00069577695,0.015575338,0.000448485,0.048651624,0.00031980546,0.0001933485],"about_ca_topic_score_codex":0.00009883067,"about_ca_topic_score_gemma":0.00013483751,"teacher_disagreement_score":0.046538666,"about_ca_system_score_codex":0.0000061693618,"about_ca_system_score_gemma":0.000067386754,"threshold_uncertainty_score":0.4064064},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985403,0.003251212,0.008785929,0.00047043318,0.00053282815,0.00026675058,0.000007916168,0.000009953652,0.0012719897],"genre_scores_gemma":[0.9994952,0.00025152572,0.00007329681,0.000069812275,0.00007212658,6.7792695e-7,0.000007996333,9.66099e-7,0.00002836099],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993703,0.00011447483,0.00019381149,0.00014305642,0.000084168416,0.000094189185],"domain_scores_gemma":[0.9995785,0.00023410522,0.00005432217,0.000105718835,0.000011843531,0.000015510286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026340457,0.00006589481,0.00014729552,0.000063197374,0.00004141843,0.00003065977,0.000076548866,0.000032385367,0.0000033376593],"category_scores_gemma":[0.000006656692,0.000030698815,0.000014075668,0.00015232347,0.000030029205,0.000065059285,0.000006770063,0.000057573983,0.0000016556185],"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":[0.00008332975,0.000019778912,0.43901443,0.00006483698,0.000004895264,0.0000023525713,0.00020427775,0.13028476,0.00002112134,0.00035191723,0.000052120682,0.42989618],"study_design_scores_gemma":[0.00043110581,0.00009244665,0.26921162,0.00044569917,0.0000026272357,0.0000019001786,0.000102361664,0.71934676,0.000046410994,0.0014294875,0.008801711,0.00008789138],"about_ca_topic_score_codex":0.0010886156,"about_ca_topic_score_gemma":0.0015573042,"teacher_disagreement_score":0.589062,"about_ca_system_score_codex":0.0000017340271,"about_ca_system_score_gemma":0.000008713057,"threshold_uncertainty_score":0.16456684},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989983,0.0003033726,0.000013074308,0.00019140854,0.0002868069,0.00008468644,0.0000065914282,0.0000017199369,0.00011402764],"genre_scores_gemma":[0.9998182,0.000031891646,0.000054502183,0.00005533667,0.000015336202,2.1528583e-8,0.000002103993,8.129516e-7,0.000021791275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914485,0.00023946902,0.00027540585,0.00010115975,0.00013478949,0.00010429647],"domain_scores_gemma":[0.9994032,0.00014518424,0.00020696156,0.00012305668,0.00008006274,0.000041540326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004962253,0.000077685334,0.0002294683,0.0001601774,0.000078325786,0.000010340817,0.000090355745,0.000085981716,0.000027136792],"category_scores_gemma":[0.000029991552,0.000045026376,0.000064546395,0.00027978164,0.000074842166,0.000054062428,0.000008171575,0.00021697239,5.376261e-8],"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":[0.00030361113,0.000096586875,0.99287736,0.000008669161,0.000044739292,0.000068643916,0.00045587952,0.004057027,0.00006725246,0.00002239209,0.000032052703,0.0019657821],"study_design_scores_gemma":[0.00087583903,0.00090364565,0.9932188,0.000041650463,0.00003595499,0.00035678342,0.0008540889,0.0017436164,0.000102535894,0.0018029296,0.000020465952,0.00004368524],"about_ca_topic_score_codex":0.004278815,"about_ca_topic_score_gemma":0.014258203,"teacher_disagreement_score":0.009979389,"about_ca_system_score_codex":9.776797e-7,"about_ca_system_score_gemma":0.000032998025,"threshold_uncertainty_score":0.79564124},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96500504,0.030343376,0.0000018617981,0.0011273639,0.000066944944,0.00029778905,0.000009799581,0.000018343413,0.0031295016],"genre_scores_gemma":[0.9906489,0.008232545,0.000117138494,0.00090892176,0.00006218633,6.117644e-7,0.000012840536,0.0000024675956,0.000014337908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878895,0.00030024734,0.00020892375,0.00024778902,0.00020490799,0.00024918068],"domain_scores_gemma":[0.99886703,0.00080630905,0.000047779376,0.00022217167,0.00001930602,0.000037391557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007310299,0.00014808634,0.0003107919,0.000023950386,0.0001541036,0.00009576662,0.00015401677,0.00003966454,0.000030716823],"category_scores_gemma":[0.00015736159,0.00007986939,0.00006293649,0.00033361148,0.00007487863,0.0001168159,0.000014710163,0.00025679747,0.000011100183],"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":[0.000050654413,0.000065878216,0.504436,0.002949674,0.000035850135,0.000028776869,0.0009936427,0.0005644984,0.00022388353,0.0027276713,0.00039241018,0.48753104],"study_design_scores_gemma":[0.0003078501,0.00007153159,0.97040796,0.0037326647,0.00007964962,0.000011489951,0.00013746049,0.017134618,0.000024477797,0.0063469973,0.0015295112,0.00021576612],"about_ca_topic_score_codex":0.00039936637,"about_ca_topic_score_gemma":0.0008833785,"teacher_disagreement_score":0.48731527,"about_ca_system_score_codex":0.000003290197,"about_ca_system_score_gemma":0.00003500854,"threshold_uncertainty_score":0.3256979},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946725,0.0008911179,0.0020118773,0.00005404321,0.0012666228,0.00015350243,0.0005745024,0.000019447667,0.00035640004],"genre_scores_gemma":[0.9910511,0.0003082274,0.007865871,0.000024254023,0.00054693414,1.3621566e-7,0.00008034038,0.000011187144,0.000111982736],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811196,0.000076632554,0.00074796757,0.0002215679,0.00051524787,0.00032662225],"domain_scores_gemma":[0.9988645,0.00008805422,0.00036537813,0.00031737675,0.00015805333,0.00020666484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004973945,0.00023997932,0.00045294114,0.00024135088,0.000111431735,0.000084797895,0.0003065831,0.00022470327,0.00008758223],"category_scores_gemma":[0.00012763681,0.00017608852,0.0002553292,0.00022881615,0.00024212858,0.0011371017,0.000030893436,0.00047158028,0.000004680105],"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":[0.00042091176,0.0000728256,0.65163803,0.00027164433,0.00015778716,0.00024107187,0.00075949647,0.33916312,0.00032733893,0.000025194671,0.00019350788,0.006729052],"study_design_scores_gemma":[0.00066163286,0.00019505732,0.2950828,0.00051673246,0.00011716871,0.0003955366,0.000047659847,0.70183545,0.0000558681,0.00013041217,0.00082954165,0.00013211925],"about_ca_topic_score_codex":0.005300259,"about_ca_topic_score_gemma":0.0017203647,"teacher_disagreement_score":0.36267233,"about_ca_system_score_codex":0.000021683221,"about_ca_system_score_gemma":0.00030303822,"threshold_uncertainty_score":0.8012442},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77356905,0.00014102069,0.000007548092,0.0021862737,0.00026438409,0.00022336547,0.000015755586,0.0000159228,0.22357671],"genre_scores_gemma":[0.99760467,0.00011458093,0.00011332621,0.0017996607,0.000032712986,0.0000014021379,0.0000068376407,0.000001451051,0.0003253673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989025,0.000105509316,0.00016005749,0.00036410065,0.00011233527,0.00035549747],"domain_scores_gemma":[0.9993426,0.00040242475,0.00003695812,0.00014213707,0.000006813167,0.0000690259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043320216,0.00014532777,0.0001443331,0.0001436132,0.0003504319,0.00022738418,0.00024532957,0.000031146064,0.000043618926],"category_scores_gemma":[0.000047894126,0.00008158934,0.000028891242,0.00020772689,0.00025441014,0.00020696771,0.000020238029,0.00017024667,0.000008149715],"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":[0.0001319218,0.00014716985,0.5573258,0.000019861582,0.000028008517,0.000049258957,0.00023595891,0.13698876,1.6210409e-7,0.21073015,0.00012405957,0.09421891],"study_design_scores_gemma":[0.0004122989,0.00034101485,0.7297569,0.00011660445,0.000010888692,5.017201e-7,0.001891943,0.2476631,0.0000073466194,0.013995744,0.005632213,0.00017146904],"about_ca_topic_score_codex":0.00027289448,"about_ca_topic_score_gemma":0.0010631353,"teacher_disagreement_score":0.22403564,"about_ca_system_score_codex":0.000015244022,"about_ca_system_score_gemma":0.000030984982,"threshold_uncertainty_score":0.3327117},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480486,0.0004482398,0.045769256,0.000940688,0.00043051367,0.00038213082,0.00015887448,0.00012406964,0.003697653],"genre_scores_gemma":[0.9961505,0.00002911211,0.0031687068,0.00024976282,0.0000773071,4.41012e-7,0.00019071481,0.0000026258053,0.0001308136],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921703,0.00009128589,0.00012110489,0.00025327742,0.0001594619,0.00015786254],"domain_scores_gemma":[0.9996637,0.00013140308,0.00003885299,0.00006443217,0.000022382874,0.00007919557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019607965,0.00013019703,0.00012531254,0.00010614691,0.00018656219,0.00007538307,0.00003207865,0.00008911965,0.00010088833],"category_scores_gemma":[0.0000046910163,0.000101358135,0.000027288897,0.000099753335,0.000047715435,0.00009920553,0.0000031950806,0.00014018851,0.000016221196],"study_design_candidate":"design_other","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":[0.00018007723,0.000027242195,0.0039754203,0.0000747012,0.000016980595,0.000032352218,0.00007208998,0.0037961546,0.0001327305,0.0000017144564,0.00082719774,0.9908633],"study_design_scores_gemma":[0.0007901078,0.00025120386,0.16071464,0.00016890268,0.00003266955,0.000018383358,0.00043105305,0.83555055,0.00022784028,0.000013088399,0.0016808675,0.00012068114],"about_ca_topic_score_codex":0.00048818323,"about_ca_topic_score_gemma":0.00008791777,"teacher_disagreement_score":0.9907427,"about_ca_system_score_codex":0.000010877264,"about_ca_system_score_gemma":0.00002057328,"threshold_uncertainty_score":0.41332647},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047417145,0.0005099102,0.9399706,0.0011004941,0.00045039644,0.00016785118,0.000018320236,0.00009601756,0.010269268],"genre_scores_gemma":[0.95930135,0.00013022324,0.038825292,0.0015281967,0.000049971397,2.2504715e-8,0.000013597968,0.0000039015995,0.00014746033],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913675,0.00011988446,0.00012888531,0.00028332762,0.00012603872,0.00020514752],"domain_scores_gemma":[0.9994403,0.00030888862,0.000036961745,0.00012818343,0.000025477702,0.000060200626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002088908,0.00014486934,0.0001677627,0.00012224056,0.00022965479,0.000054839566,0.00004982247,0.0000664514,0.00003462113],"category_scores_gemma":[0.000039227827,0.00010576943,0.000049067523,0.00017233935,0.000045886252,0.00010382096,0.0000016266646,0.0001825025,0.000008943843],"study_design_candidate":"design_other","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":[0.000104547944,0.0000020032348,0.00009521287,0.000028030545,0.000007403283,0.000010069829,0.00006892273,0.0013504213,0.0006890989,0.000014086411,0.000007265698,0.99762297],"study_design_scores_gemma":[0.0008191445,0.00030266063,0.005582579,0.00023464025,0.000049320086,0.000039164966,0.00032506694,0.916365,0.025537955,0.02609332,0.024336386,0.00031473834],"about_ca_topic_score_codex":0.0008435067,"about_ca_topic_score_gemma":0.006048932,"teacher_disagreement_score":0.9973082,"about_ca_system_score_codex":0.000003843868,"about_ca_system_score_gemma":0.00002292881,"threshold_uncertainty_score":0.4313152},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93043435,0.0002475502,0.06825455,0.00024152215,0.0003838002,0.00018932082,0.0000055325777,0.00001563636,0.00022771099],"genre_scores_gemma":[0.89041936,0.00042129753,0.10866658,0.00012021505,0.00026947202,2.338286e-8,0.000015737487,0.000004514897,0.00008279505],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909496,0.000048958504,0.0003806019,0.00016848669,0.0001301314,0.00017685126],"domain_scores_gemma":[0.9994051,0.00013672769,0.000160881,0.00006511613,0.00016613364,0.00006604897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030373497,0.00012410138,0.00022936042,0.0002607712,0.00028301743,0.00016057627,0.00003101783,0.0001182447,0.0000013082389],"category_scores_gemma":[0.00008402062,0.00011012117,0.000024465331,0.0004209438,0.00005739378,0.00017074608,0.000004392156,0.0002489517,9.849503e-8],"study_design_candidate":"design_other","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":[0.000085610176,0.000007052778,0.0026051803,0.00003115389,0.00003054352,0.0000056275335,0.00027792426,0.00071157474,0.003720358,0.000012582667,0.000016140602,0.99249625],"study_design_scores_gemma":[0.0019524534,0.00020691221,0.34310055,0.00022894739,0.00007497838,0.00016597407,0.00024341309,0.64118254,0.0060408367,0.0047740624,0.0018144774,0.0002148517],"about_ca_topic_score_codex":0.00051914353,"about_ca_topic_score_gemma":0.0018890968,"teacher_disagreement_score":0.9922814,"about_ca_system_score_codex":0.000011512483,"about_ca_system_score_gemma":0.00009237204,"threshold_uncertainty_score":0.4490611},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988419,0.00013895829,0.0000016233503,0.0003778795,0.00017079253,0.000064605025,0.000009948917,0.000011743291,0.00038255702],"genre_scores_gemma":[0.9996819,0.00009824062,0.00011701043,0.0000126777395,0.000020386302,1.9077292e-7,0.000010870726,0.0000019019205,0.00005684701],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999546,0.0000015180395,0.00012654932,0.00013330937,0.000111659414,0.000080968784],"domain_scores_gemma":[0.99985325,0.000019002127,0.000028264802,0.000020274416,0.000055401735,0.000023819159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056359208,0.00008999982,0.000093211835,0.0000552935,0.00005048656,0.000076616736,0.000065013504,0.000038880116,0.000015586875],"category_scores_gemma":[0.000008918565,0.000055896424,0.000013752988,0.000054415832,0.000027331724,0.00016294587,0.0000035041696,0.00010321966,1.8566624e-7],"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":[0.00003357791,0.0000015250979,0.9744279,0.000080663645,0.000019367408,5.356892e-7,0.0006757489,0.0029378943,0.018440835,0.00076388515,0.0000012005003,0.0026168707],"study_design_scores_gemma":[0.00023362269,0.000012825242,0.9435595,0.0002412902,0.0000075548533,0.0000024571464,0.000045667985,0.051762167,0.003416499,0.0006399843,0.000012007488,0.000066408866],"about_ca_topic_score_codex":0.000256707,"about_ca_topic_score_gemma":0.00038054743,"teacher_disagreement_score":0.048824273,"about_ca_system_score_codex":0.000002924457,"about_ca_system_score_gemma":0.0000061291166,"threshold_uncertainty_score":0.22793901},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97097045,0.0006734782,0.00017758788,0.0013560721,0.0006533584,0.000035123063,0.0000039125766,0.0000077717605,0.026122252],"genre_scores_gemma":[0.99767566,0.0009378635,0.00047862896,0.00040675866,0.00013398824,9.093754e-9,0.0000034964523,0.000001621636,0.00036200313],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993398,0.000054330023,0.0002531298,0.00005938829,0.00014818809,0.00014514217],"domain_scores_gemma":[0.999518,0.00012298947,0.00016949391,0.0001051253,0.000045594064,0.000038817474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003992611,0.000061040344,0.000116667215,0.00003969581,0.00015858297,0.00008174556,0.00011726793,0.00003461326,0.0003505019],"category_scores_gemma":[0.000034448538,0.000031190863,0.00007845238,0.00011731229,0.000027273174,0.00011687048,0.0000041225185,0.00016484765,0.000042119373],"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":[0.00019146084,0.000019027939,0.42662352,0.000029918518,0.00007639465,0.00002922017,0.00043109033,0.0025272968,0.00018380498,0.0003163905,0.0048707323,0.56470114],"study_design_scores_gemma":[0.00029028457,0.000054631426,0.9205348,0.000083180756,0.000044246048,0.0000582565,0.0002537598,0.008721853,0.0000965722,0.00096156186,0.06883884,0.00006199886],"about_ca_topic_score_codex":0.000111078945,"about_ca_topic_score_gemma":0.00010421439,"teacher_disagreement_score":0.56463915,"about_ca_system_score_codex":0.0000040438263,"about_ca_system_score_gemma":0.00003516118,"threshold_uncertainty_score":0.38377503},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6335699,0.00000797141,0.36495593,0.00014687519,0.00019216053,0.00020534743,0.00012624516,0.000021095335,0.0007745026],"genre_scores_gemma":[0.63704854,9.044758e-8,0.36281013,0.00006886046,0.000018504217,3.0723992e-9,0.000035817535,0.0000028754405,0.00001517263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820656,0.000018998338,0.00038830642,0.000426086,0.00061536516,0.00034467812],"domain_scores_gemma":[0.9987458,0.0003615447,0.00025520672,0.0002888712,0.00025858742,0.00009000556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005053449,0.00018009753,0.0003038247,0.0005755678,0.00030935858,0.000083854946,0.00020300101,0.0000789967,0.000005652645],"category_scores_gemma":[0.0009810273,0.0001430985,0.00009086136,0.0011462207,0.0005117456,0.00024652228,0.00002124855,0.00014142596,4.6259294e-7],"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":[0.00010234738,0.000013601145,0.001037889,0.000039158273,0.0000059432505,9.106386e-7,0.00008626311,0.5760339,0.008307569,0.000009765817,0.000011863179,0.41435078],"study_design_scores_gemma":[0.0005888482,0.00009710937,0.024211166,0.00028957918,0.000012724305,0.00000863161,0.000048683567,0.96711916,0.0030331824,0.0044469144,0.000002574059,0.00014141796],"about_ca_topic_score_codex":0.0020603756,"about_ca_topic_score_gemma":0.0017182594,"teacher_disagreement_score":0.41420937,"about_ca_system_score_codex":0.000023157134,"about_ca_system_score_gemma":0.0003023694,"threshold_uncertainty_score":0.5835388},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98512906,0.00034998203,0.0003896519,0.0017577462,0.00017976495,0.00011922065,0.000008460477,0.0000033586307,0.012062734],"genre_scores_gemma":[0.996278,0.0004018644,0.002827148,0.000171474,0.00008980121,9.2927664e-8,0.0000065758536,0.0000013782771,0.00022369825],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984828,0.00044488168,0.00020855098,0.000105137115,0.0005689046,0.00018971974],"domain_scores_gemma":[0.99880725,0.00086922897,0.000043146807,0.00007145712,0.00013662913,0.00007231069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035986558,0.000052407882,0.00014125543,0.00054894475,0.00008856724,0.0000789665,0.00012110191,0.000043451237,0.00014736262],"category_scores_gemma":[0.00019906525,0.000035065088,0.00003115471,0.00037449232,0.000037111833,0.00005688128,0.000010189465,0.0004491122,0.000014486166],"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":[0.0003619826,0.00008588538,0.37458026,0.00003328689,0.000019044384,0.0001124566,0.0002928031,0.0016596026,0.000050684925,0.000007167778,0.0025489437,0.62024784],"study_design_scores_gemma":[0.0010018238,0.00063063164,0.9764018,0.00026880807,0.0000069258385,0.000015770442,0.0006846218,0.014261235,0.00017401356,0.0011954288,0.005300066,0.000058853846],"about_ca_topic_score_codex":0.0005334399,"about_ca_topic_score_gemma":0.0007793967,"teacher_disagreement_score":0.620189,"about_ca_system_score_codex":0.000012491228,"about_ca_system_score_gemma":0.00012044752,"threshold_uncertainty_score":0.19511941},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917718,0.00011615503,0.004585346,0.00028071366,0.000848978,0.0009577395,0.0003857362,0.00007771347,0.000975812],"genre_scores_gemma":[0.99701005,0.00008470745,0.001456471,0.00001973162,0.00046375985,0.000004384064,0.0007798794,0.000005496984,0.00017553044],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974644,0.0006977758,0.0002136266,0.0005502351,0.00062815566,0.00044578177],"domain_scores_gemma":[0.99918324,0.00024016525,0.00006139826,0.00023629743,0.00014892503,0.00012996665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010947138,0.00018552417,0.00020964662,0.00036495278,0.00033189976,0.00019268143,0.00010797075,0.00027120174,0.000070120645],"category_scores_gemma":[0.00007832889,0.00014895722,0.000054437038,0.00033558466,0.00011265591,0.000085984044,0.0000387527,0.0010594841,0.000011001585],"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":[0.004588799,0.00019992907,0.4804442,0.0010718711,0.000050517607,0.000131048,0.00022595741,0.43094718,0.00023958503,0.000024010575,0.00032983982,0.08174708],"study_design_scores_gemma":[0.000729119,0.00030571697,0.41594982,0.00037335962,0.0000067873243,0.0000036325096,0.000046827518,0.582164,0.000020848562,0.00026098237,0.000050256807,0.0000886835],"about_ca_topic_score_codex":0.007223056,"about_ca_topic_score_gemma":0.025227938,"teacher_disagreement_score":0.15121679,"about_ca_system_score_codex":0.000040768282,"about_ca_system_score_gemma":0.00022011844,"threshold_uncertainty_score":0.9993879},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98909706,0.00075220905,0.00043764527,0.00719453,0.00004610394,0.00040591173,0.000014785423,0.000021147762,0.0020305824],"genre_scores_gemma":[0.99906296,0.0005230592,0.00011716885,0.00023029042,0.000017459497,0.0000016795901,0.000014069771,0.0000072619728,0.000026041906],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981565,0.00036745222,0.0003077405,0.00044282275,0.00037164404,0.00035387892],"domain_scores_gemma":[0.9992513,0.0002105652,0.00007244874,0.00032969753,0.00007804832,0.000057913603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007606108,0.00019828751,0.00024946203,0.00045786408,0.0003604966,0.00007704884,0.00021516814,0.0001165094,0.000034819728],"category_scores_gemma":[0.00012422484,0.00011831101,0.00006612065,0.0007976436,0.0003743031,0.000032636035,0.00002526329,0.00045530667,0.000002439002],"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":[0.00026403536,0.000040554096,0.000921997,0.00003715248,0.000045610144,0.000009633141,0.00011080851,0.000035486282,0.9887056,0.009248404,0.000021649434,0.00055911177],"study_design_scores_gemma":[0.00044368175,0.00081933377,0.010685923,0.00016559017,0.000045600635,0.000010836843,0.00030911295,0.012918733,0.9724452,0.0018459891,0.00017741336,0.00013260965],"about_ca_topic_score_codex":0.000077780154,"about_ca_topic_score_gemma":0.00005097321,"teacher_disagreement_score":0.016260382,"about_ca_system_score_codex":0.000007107842,"about_ca_system_score_gemma":0.000051892202,"threshold_uncertainty_score":0.4824583},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921333,0.00047558369,0.0001794598,0.00006626598,0.00014312367,0.00009756106,0.000025220394,0.000014278619,0.006865159],"genre_scores_gemma":[0.999592,0.00006865526,0.00015259987,0.000116497395,0.000012879934,1.4096376e-7,0.00004676632,0.0000021243543,0.000008357179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992277,0.0000835533,0.0001842639,0.00021168537,0.00012957546,0.0001631984],"domain_scores_gemma":[0.9994553,0.00036237095,0.00005492752,0.000069686044,0.000008580213,0.00004917428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024046811,0.00010453125,0.00018433169,0.00017348408,0.000054737222,0.000032893062,0.000049302296,0.00006460502,0.0000031080262],"category_scores_gemma":[0.00014538055,0.000087236614,0.000017258733,0.00012284944,0.00003948594,0.000053339674,0.00000786405,0.00010996034,0.000001065776],"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":[0.00009464548,0.000021051816,0.83007145,0.0006413716,0.000040816474,0.00020063174,0.00039650284,0.00017339362,0.14600761,0.0053830445,0.000030591993,0.016938917],"study_design_scores_gemma":[0.0007095205,0.00013434826,0.93824124,0.001072455,0.000024590843,0.000011657226,0.00008368875,0.0070887874,0.049995184,0.0024232639,0.000011227586,0.00020404121],"about_ca_topic_score_codex":0.00534864,"about_ca_topic_score_gemma":0.0006373195,"teacher_disagreement_score":0.10816981,"about_ca_system_score_codex":0.0000034357295,"about_ca_system_score_gemma":0.000012728053,"threshold_uncertainty_score":0.8085579},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97829187,0.0011336271,0.000028026778,0.0003084846,0.00057002716,0.0005998907,0.001619041,0.000033464177,0.017415551],"genre_scores_gemma":[0.9969681,0.00031850534,0.0015010857,0.000009414724,0.00044821456,8.4669404e-7,0.00023981598,0.0000033570764,0.00051068736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976539,0.00035457985,0.00033913204,0.0004047445,0.0007547921,0.00049287925],"domain_scores_gemma":[0.99868757,0.00009955355,0.00010485134,0.000422129,0.00053725514,0.00014861675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067578896,0.00019467191,0.0003837399,0.00019717481,0.00018658121,0.00006958904,0.00033561708,0.00029220138,0.00023406793],"category_scores_gemma":[0.000087263754,0.00012876817,0.00017848288,0.0008847528,0.00007618644,0.00004923831,0.00015934998,0.000564775,0.000017541755],"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":[0.00024323323,0.000083441715,0.941672,0.0017799455,0.00012023138,0.000019276144,0.0012601796,0.024002852,0.00016253852,0.00007226036,0.0016098518,0.02897419],"study_design_scores_gemma":[0.00024087522,0.00029524555,0.9879779,0.0014368908,0.000034606262,0.000010977632,0.0027342762,0.004310057,0.00012799633,0.00014687785,0.002456978,0.00022729492],"about_ca_topic_score_codex":0.010887684,"about_ca_topic_score_gemma":0.007543339,"teacher_disagreement_score":0.046305925,"about_ca_system_score_codex":0.000031127965,"about_ca_system_score_gemma":0.00035414935,"threshold_uncertainty_score":0.9956989},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948506,0.0010438451,0.0012249413,0.001335813,0.0001543487,0.00011177284,0.000019385803,0.0000021219757,0.0012572006],"genre_scores_gemma":[0.9980392,0.00006610608,0.0009780136,0.000031862943,0.00009197667,1.7763998e-7,0.000015945372,0.0000023746973,0.0007743723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990907,0.0001501908,0.00018203327,0.00011769041,0.00015238089,0.0003070221],"domain_scores_gemma":[0.9988397,0.0003954676,0.000039854494,0.000065165674,0.00014328076,0.0005165749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088359596,0.00005479225,0.00010232111,0.0006867565,0.00021852841,0.00018730377,0.00012570532,0.0000220817,0.000038098475],"category_scores_gemma":[0.0009860805,0.000045219313,0.000036795955,0.00024096234,0.00012767578,0.000169457,0.0000050034378,0.00031856386,0.0000019261329],"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":[0.000029438655,0.000002021755,0.71888345,0.00000790192,0.0000035908631,0.00020055572,0.00016349199,0.0009664571,0.0000020740927,0.000009406736,0.00055262,0.27917898],"study_design_scores_gemma":[0.00042605892,0.000048087695,0.85782087,0.00016117263,0.000004045606,0.000020157799,0.00051074865,0.13729729,0.000004147724,0.0011637508,0.0025039117,0.000039732164],"about_ca_topic_score_codex":0.07642306,"about_ca_topic_score_gemma":0.62652504,"teacher_disagreement_score":0.550102,"about_ca_system_score_codex":0.000020932972,"about_ca_system_score_gemma":0.00079810945,"threshold_uncertainty_score":0.92972714},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6849354,0.00060035655,0.31224975,0.0006296598,0.00073382736,0.000070130816,0.0000012419378,0.000009000634,0.00077064935],"genre_scores_gemma":[0.5954885,0.000018100187,0.40438953,0.000055676323,0.00003877819,4.6180087e-8,2.199311e-7,9.3308506e-7,0.000008240906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988515,0.00032027517,0.0002216156,0.0001526744,0.00028825898,0.0001656912],"domain_scores_gemma":[0.9970259,0.0027376062,0.00005760726,0.0000377615,0.00008061467,0.000060491584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005332578,0.000076793156,0.00015107177,0.0007800054,0.00015838594,0.00011330025,0.00008937073,0.000038940907,0.000004331435],"category_scores_gemma":[0.00041932857,0.000053588476,0.000028738268,0.0006843932,0.00007009771,0.0001079792,0.0000075549733,0.00036381208,2.8283577e-7],"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":[0.000051115396,0.0000052020814,0.00078628573,0.000012976003,0.000003918128,0.0000035413123,0.000040170748,0.69856656,0.00033090028,0.00006118578,0.0000031194772,0.30013502],"study_design_scores_gemma":[0.00023364244,0.0002917762,0.13581882,0.00011252275,0.0000029650037,0.000022875683,0.000083417784,0.8612402,0.00031858857,0.0016579262,0.00016679049,0.000050458828],"about_ca_topic_score_codex":0.00009717319,"about_ca_topic_score_gemma":0.00002268157,"teacher_disagreement_score":0.30008456,"about_ca_system_score_codex":0.000010283996,"about_ca_system_score_gemma":0.000068818066,"threshold_uncertainty_score":0.21852747},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764977,0.0018527734,0.003374717,0.0012722579,0.00053770444,0.0002978059,0.00002577557,0.000026050247,0.016115192],"genre_scores_gemma":[0.99314207,0.000077347046,0.0061847656,0.0005654421,0.000014075865,5.643604e-7,8.716667e-7,0.0000014528372,0.000013437329],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99888676,0.000035641333,0.00019437805,0.0003348584,0.00027486085,0.00027352473],"domain_scores_gemma":[0.99938554,0.0001681628,0.000065222266,0.00027433262,0.000030692965,0.00007606225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000449362,0.00012368381,0.00018289803,0.00021583962,0.0002335304,0.000039829276,0.00039028435,0.000050357867,0.000008980807],"category_scores_gemma":[0.0000813952,0.00008080127,0.00007493736,0.0014152059,0.00034067113,0.0001173623,0.00003309557,0.00014785446,6.0746345e-7],"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":[0.00015358883,0.00005113868,0.4098032,0.00006558832,0.000009238606,0.0000013848985,0.00026247994,0.02764183,0.007420601,0.0009120785,0.00002862394,0.55365026],"study_design_scores_gemma":[0.0007003438,0.00010546349,0.9564193,0.00038193836,0.000023641898,0.0000036142058,0.00024208956,0.01785166,0.008459365,0.0056362096,0.009874097,0.00030228312],"about_ca_topic_score_codex":0.0005431836,"about_ca_topic_score_gemma":0.0027457941,"teacher_disagreement_score":0.55334795,"about_ca_system_score_codex":0.000002843227,"about_ca_system_score_gemma":0.000052677162,"threshold_uncertainty_score":0.32949802},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98402065,0.00747323,0.0008623153,0.00017367194,0.0003587623,0.000077256205,0.000006775418,0.000009589522,0.007017745],"genre_scores_gemma":[0.99802816,0.00027464455,0.0015229026,0.00007232178,0.000012514716,7.885072e-8,0.0000015311842,6.201464e-7,0.000087198554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992997,0.000061219376,0.00013194614,0.00020041442,0.00014355055,0.00016315683],"domain_scores_gemma":[0.9996278,0.00009651316,0.000078072066,0.00015081628,0.000020075577,0.000026686432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023238706,0.00007664782,0.0001559202,0.00042524844,0.00028511137,0.000036904148,0.00015978434,0.000038065595,0.000004554133],"category_scores_gemma":[0.000027023083,0.000048743394,0.00009039197,0.003813897,0.00023893673,0.00020961993,0.000014871111,0.0001080846,7.883164e-8],"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":[0.0000116367855,0.0000034663383,0.96845984,0.000012761443,0.000018180413,8.559001e-7,0.00044499533,0.020070413,0.000070997055,0.000019391597,0.00003133615,0.010856096],"study_design_scores_gemma":[0.00011725222,0.000019853802,0.94289774,0.00013374184,0.000059547303,0.0000029358425,0.00062167185,0.051777557,0.00015973033,0.0007309533,0.0033953802,0.00008366316],"about_ca_topic_score_codex":0.00052703574,"about_ca_topic_score_gemma":0.0014176752,"teacher_disagreement_score":0.031707145,"about_ca_system_score_codex":0.0000024648018,"about_ca_system_score_gemma":0.000023732162,"threshold_uncertainty_score":0.21928748},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99462336,0.00008102307,0.0016978058,0.00006585566,0.0011364771,0.0000807779,0.000017053186,0.000023695098,0.0022739472],"genre_scores_gemma":[0.99649036,0.000014857968,0.003373295,0.00007809605,0.000017386745,8.165923e-8,0.0000039992224,9.092997e-7,0.000020985432],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991812,0.000036136902,0.0001529531,0.00021271956,0.00021198326,0.00020497982],"domain_scores_gemma":[0.9996935,0.000096696014,0.000050126255,0.00010213791,0.000018688273,0.000038841372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000629103,0.0000717642,0.00013291274,0.00032511284,0.00018373178,0.00006666972,0.000121046585,0.00003313696,0.000007068017],"category_scores_gemma":[0.00012713965,0.000057586592,0.000014122925,0.0005181433,0.00021352596,0.00015157631,0.0000065210875,0.00008233021,0.0000012963766],"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":[0.00016479153,0.000018889968,0.69458884,0.000086753666,0.0000046800833,0.000012121282,0.00026563203,0.020299003,0.005709528,0.000005800305,0.00033577133,0.27850822],"study_design_scores_gemma":[0.00020667346,0.00003861784,0.28622442,0.00011162645,0.000003469397,0.0000015108639,0.000120904886,0.70817417,0.00492539,0.0000923089,0.00005025023,0.000050663246],"about_ca_topic_score_codex":0.0007082826,"about_ca_topic_score_gemma":0.00024121668,"teacher_disagreement_score":0.68787515,"about_ca_system_score_codex":0.000009441663,"about_ca_system_score_gemma":0.00007694854,"threshold_uncertainty_score":0.2348313},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980062,0.0011567655,0.000015691761,0.000029633457,0.0003768339,0.000015957778,0.000017241726,0.0000024852136,0.00037917128],"genre_scores_gemma":[0.9989697,0.000005811272,0.0003946426,0.000059962393,0.00049745804,1.6952756e-8,0.0000067561496,0.0000035376986,0.00006212376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993294,0.000027690225,0.0002000578,0.00006928561,0.00008845054,0.0002851471],"domain_scores_gemma":[0.9993983,0.000023596662,0.000118975135,0.0000699407,0.000035240446,0.00035394134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022031304,0.00008367915,0.000118309785,0.00010530756,0.00006187973,0.000053998858,0.000067453046,0.00006836376,0.0002330695],"category_scores_gemma":[0.00006951829,0.00007321861,0.00004771871,0.00010637512,0.00002714971,0.00022258668,0.0000014363341,0.00015625721,0.000013647772],"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":[0.000022473929,0.0000013942115,0.9873694,0.00002950603,0.000010814101,0.00010342823,0.00095644244,0.0007669051,0.0010276794,2.0384174e-8,0.000016153028,0.00969574],"study_design_scores_gemma":[0.00032146872,0.000067102184,0.9695475,0.00050698814,0.000041832605,0.0011176217,0.0015928705,0.0016785626,0.024241712,0.00002847096,0.00047724033,0.0003786257],"about_ca_topic_score_codex":0.0058514583,"about_ca_topic_score_gemma":0.011491807,"teacher_disagreement_score":0.023214033,"about_ca_system_score_codex":0.000026341122,"about_ca_system_score_gemma":0.00026040184,"threshold_uncertainty_score":0.88456935},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08877176,0.00047520074,0.00085397623,0.00008791353,0.0003992146,0.00042357983,0.00009090412,0.00016963974,0.9087278],"genre_scores_gemma":[0.07516196,0.00018161925,0.0030603074,0.0006015685,0.00088483596,3.1789966e-7,0.0028475104,0.00002772431,0.9172341],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99860823,0.00006332608,0.00017999421,0.0005128197,0.00031008452,0.00032552468],"domain_scores_gemma":[0.99900436,0.00010319034,0.00009996961,0.00041613856,0.000053462336,0.00032287466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000271511,0.00026659924,0.00028685373,0.00018252584,0.00013115768,0.00016287834,0.00013281734,0.00031004407,0.00014896134],"category_scores_gemma":[0.00002975381,0.00020839681,0.000046882746,0.00012731137,0.000057755013,0.00012845437,0.000008491022,0.00030625635,0.00037901526],"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":[0.0011245462,0.00020830373,0.46571976,0.00033673772,0.0002398581,0.00012002937,0.015770754,0.0029682352,0.000056597437,0.0006505774,0.38040596,0.13239866],"study_design_scores_gemma":[0.0003201888,0.00019641833,0.19735771,0.000061162835,0.00005161747,0.000033421038,0.00010361919,0.013007596,0.00000536053,0.000041962594,0.78835595,0.0004649862],"about_ca_topic_score_codex":0.0031024092,"about_ca_topic_score_gemma":0.0009842078,"teacher_disagreement_score":0.40794998,"about_ca_system_score_codex":0.000013548408,"about_ca_system_score_gemma":0.00009507762,"threshold_uncertainty_score":0.8498176},"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":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013045215,0.0061660158,0.00046630757,0.00041139973,0.0004371517,0.00029763737,0.0001920563,0.0005935163,0.9901314],"genre_scores_gemma":[0.0037223252,0.00011994745,0.027470646,0.00030856696,0.0014639782,0.0000010509208,0.0015864766,0.000075592536,0.9652514],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972298,0.000058896345,0.00057369797,0.00079454214,0.00059831596,0.00074476143],"domain_scores_gemma":[0.9985908,0.000062547166,0.0004981085,0.00034616407,0.00032531514,0.00017702862],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00026831665,0.00067420857,0.0006992585,0.00022121599,0.0007826466,0.0015894051,0.0004184021,0.00043345772,0.0004891028],"category_scores_gemma":[0.00006806305,0.0005528073,0.00016140191,0.00022493149,0.00068341405,0.0014492219,0.000029210327,0.0006658169,0.00053444423],"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":[0.00025397647,0.00004249851,0.00056466955,0.0029548553,0.00004622492,0.00074316195,0.00080484437,0.00010653147,0.00026162405,0.000016204422,0.19807483,0.7961306],"study_design_scores_gemma":[0.0005799492,0.00023684223,0.0029962503,0.0019235285,0.00023581042,0.00051062333,0.0001590337,0.0074289986,0.00047096986,0.006852927,0.97674936,0.0018557168],"about_ca_topic_score_codex":0.00039294182,"about_ca_topic_score_gemma":0.0011675276,"teacher_disagreement_score":0.79427487,"about_ca_system_score_codex":0.00002947499,"about_ca_system_score_gemma":0.0011139095,"threshold_uncertainty_score":0.9996923},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954447,0.00004237131,0.000009871869,0.00022983892,0.00033427775,0.00017267762,0.0000014943403,0.000022148699,0.003742607],"genre_scores_gemma":[0.99886346,0.0000025483473,0.00089000224,0.000109146546,0.000080020814,6.863694e-7,0.000009930613,0.0000029762152,0.000041226056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805033,0.0003751647,0.0003246154,0.0004936189,0.00029079392,0.0004654915],"domain_scores_gemma":[0.9992085,0.0003069004,0.0001332353,0.00013080744,0.000059990103,0.00016053038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014708939,0.00014487593,0.00022767356,0.00034849189,0.00019777966,0.000060531704,0.00021022206,0.000091904476,0.00008033911],"category_scores_gemma":[0.0009655174,0.00012356824,0.000023760456,0.0011740216,0.0011714345,0.00047618482,0.000014381854,0.00025854015,0.00006405536],"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":[0.000042699034,0.000030489984,0.8402483,0.0000076040296,0.000002429558,0.000049590293,0.002830468,0.07213505,0.05743267,0.000044229266,0.0000025125225,0.027173959],"study_design_scores_gemma":[0.00029503444,0.0002029823,0.63690394,0.000036133897,0.0000016696782,0.000052485542,0.00025013494,0.35668868,0.0021873142,0.003264102,0.000009904325,0.000107630185],"about_ca_topic_score_codex":0.0055565736,"about_ca_topic_score_gemma":0.0006471302,"teacher_disagreement_score":0.28455362,"about_ca_system_score_codex":0.000028491679,"about_ca_system_score_gemma":0.00015597368,"threshold_uncertainty_score":0.83999145},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98547584,0.00067573664,0.0038097124,0.0016646665,0.0010274111,0.0006874783,0.000081215134,0.00017763374,0.0064003295],"genre_scores_gemma":[0.9923069,0.00004748512,0.0058451532,0.00058321987,0.00057295413,5.719177e-7,0.00013354627,0.0000081349435,0.0005020481],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99821365,0.00011651541,0.00039032142,0.0004212764,0.00023906188,0.0006191833],"domain_scores_gemma":[0.9991938,0.00024748454,0.000096798765,0.0002591985,0.00003103612,0.00017170476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006369081,0.00022546157,0.0003137037,0.00022033296,0.00019788476,0.00018512127,0.00022423128,0.00014701254,0.00014604877],"category_scores_gemma":[0.00008343954,0.0001832184,0.00010865006,0.0002226787,0.00003161859,0.00023340275,0.00000454252,0.0002070045,0.000121678546],"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":[0.004579653,0.000436062,0.23159079,0.00020423917,0.00015747228,0.0009542161,0.0097993035,0.049642317,0.0017691618,0.000712642,0.17020415,0.52995],"study_design_scores_gemma":[0.004767532,0.0021545596,0.64675474,0.00043759475,0.000077788936,0.00018626348,0.0008053178,0.27567267,0.0019590326,0.005687355,0.060022045,0.0014750788],"about_ca_topic_score_codex":0.0009836946,"about_ca_topic_score_gemma":0.0029682552,"teacher_disagreement_score":0.5284749,"about_ca_system_score_codex":0.000008663111,"about_ca_system_score_gemma":0.000069508314,"threshold_uncertainty_score":0.747143},"labels":[],"label_agreement":null}]}