{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":9,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":9,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"a3c539e8d46b","filters":{"venue":"Geodesy and Cartography"}},"results":[{"id":"W2714159147","doi":"10.3846/20296991.2017.1330767","title":"ASSESSING HORIZONTAL POSITIONAL ACCURACY OF","year":2017,"lang":"en","type":"article","venue":"Geodesy and Cartography","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geodesy; Geodetic datum; Displacement (psychology); Distortion (music); Geography; Global Positioning System; Geographic coordinate system; Satellite; Local coordinates; Coordinate system; Set (abstract data type); Transformation (genetics); Remote sensing; Computer science; Mathematics; Geometry; Physics; Telecommunications","authors":[{"name":"Mohammad Ali Goudarzi","is_ca":true},{"name":"René Landry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0146017306739662,"gpt":0.2698701998033159,"spread":0.2552684691293498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000700637,0.0005988211,0.0003095982,0.00210811,0.0007547336,0.001562011,0.0007346233,0.0003800502,0.006398217],"category_scores_gemma":[0.004277743,0.0001789879,0.0002423363,0.003446467,0.0004995362,0.0006650197,0.0009709677,0.0001946139,0.002532284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455628,"about_ca_system_score_gemma":0.002136266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4946943,"about_ca_topic_score_gemma":0.6357261,"domain_scores_codex":[0.9991047,0.00006446189,0.00003269475,0.0001340293,0.0005124821,0.0001515225],"domain_scores_gemma":[0.9978958,0.0001893409,0.0001509189,0.0002063958,0.001481966,0.00007547612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000360677,0.00005161867,0.627669,0.000307525,0.0002000573,0.0004145623,0.00174401,0.03927584,0.01603207,0.002766052,0.01306565,0.298113],"study_design_scores_gemma":[0.00002624368,0.00009369048,0.9146258,0.0001107178,0.00008952944,0.0002215194,0.003373482,0.04624675,0.0147587,0.0006859751,0.01965643,0.0001110676],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8910562,0.0008268651,0.03489667,0.0002469203,0.0001376158,0.0001045607,0.01490256,0.001963615,0.05586501],"genre_scores_gemma":[0.9797612,0.0002169495,0.01045487,0.0000225229,0.000007565683,0.00002230579,0.005239772,0.00009087123,0.004183875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4946943,"threshold_uncertainty_score":0.9836298,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2023339048","doi":"10.3846/20296991.2012.702983","title":"ON GENERATING DIGITAL ELEVATION MODELS FROM LIDAR DATA – RESOLUTION VERSUS ACCURACY AND TOPOGRAPHIC WETNESS INDEX INDICES IN NORTHERN PEATLANDS","year":2012,"lang":"en","type":"article","venue":"Geodesy and Cartography","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet; Stockholms Universitet; Lunds Universitet; Royal Swedish Academy of Sciences; McGill University","keywords":"Digital elevation model; Topographic Wetness Index; Elevation (ballistics); Lidar; Quantile; Environmental science; Remote sensing; Interpolation (computer graphics); Drainage; Geology; Hydrology (agriculture); Statistics; Mathematics; Geometry","authors":[{"name":"Abdulghani Hasan","is_ca":false},{"name":"Petter Pilesjö","is_ca":false},{"name":"Andreas Persson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02314982623724317,"gpt":0.2385565944331369,"spread":0.2154067681958937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009513746,0.0002463418,0.0001889424,0.0006115719,0.000123764,0.0005066678,0.0002985699,0.0002456956,0.0005407159],"category_scores_gemma":[0.003407018,0.0001479154,0.0003905553,0.00066004,0.0001161376,0.0004568469,0.0002283414,0.0001509973,0.0001944728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000449463,"about_ca_system_score_gemma":0.0003197168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108194,"about_ca_topic_score_gemma":0.01287079,"domain_scores_codex":[0.999817,0.00007485882,0.00001527747,0.00003679878,0.00003795658,0.00001822754],"domain_scores_gemma":[0.9991174,0.0005059522,0.00008340361,0.0001392303,0.0001226476,0.00003137859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002385881,0.0001599944,0.05736416,0.00008759213,0.00007763675,0.0001304039,0.0001353712,0.8507156,0.005549203,0.000659963,0.0003099523,0.08457149],"study_design_scores_gemma":[0.00001800591,0.00004437513,0.03713339,0.00001850014,0.00002132308,0.00003556914,0.00007950133,0.9578826,0.004025656,0.0003790802,0.0003492197,0.00001277872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767405,0.00007843279,0.02116004,0.0000427146,0.000005993128,0.00003168086,0.0007285384,0.0002861905,0.0009259973],"genre_scores_gemma":[0.9797006,0.00006207255,0.01903505,0.000005546904,0.000002189198,0.00001989399,0.0009884725,0.00002228603,0.0001638299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01108194,"threshold_uncertainty_score":0.02203488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2598267083","doi":"10.3846/20296991.2017.1299839","title":"LOCAL EVALUATION OF EARTH GRAVITATIONAL MODELS, CASE STUDY: IRAN","year":2017,"lang":"en","type":"article","venue":"Geodesy and Cartography","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Geoid; Geodesy; Gravitational field; Gravity anomaly; Gravity of Earth; Geology; Gravity model of trade; Gravitation; Satellite; Residual; Geophysics; Computer science; Algorithm; Physics; Paleontology; Engineering; Measured depth; Aerospace engineering","authors":[{"name":"Ismael Foroughi","is_ca":true},{"name":"Yosra Afrasteh","is_ca":false},{"name":"Sabah Ramouz","is_ca":false},{"name":"Abdolreza Safari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08445146381708579,"gpt":0.2811796332198894,"spread":0.1967281694028036,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107584,0.001016978,0.0005412981,0.000874656,0.0004322771,0.0007145876,0.0009525901,0.0006185501,0.001153843],"category_scores_gemma":[0.001881566,0.000195511,0.0008210443,0.001258911,0.0004686661,0.0006154959,0.0006290097,0.0005673209,0.0002285455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312126,"about_ca_system_score_gemma":0.0009066288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06715448,"about_ca_topic_score_gemma":0.05353414,"domain_scores_codex":[0.9996897,0.00008749084,0.00002211473,0.00006857431,0.00007884495,0.00005314504],"domain_scores_gemma":[0.9991829,0.0003118477,0.0000726309,0.0001147311,0.0002661067,0.00005173044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001957615,0.0003370068,0.03636514,0.0002038964,0.000129069,0.0005420425,0.0001694092,0.9307345,0.001518618,0.001397535,0.00241465,0.0259924],"study_design_scores_gemma":[0.0001421621,0.0004165832,0.02902259,0.00003442007,0.000145435,0.0001626495,0.000682372,0.9600934,0.004990682,0.001029489,0.003244844,0.00003530457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850655,0.0003213587,0.00698503,0.0001712447,0.00002117501,0.00005771801,0.0009479566,0.0004618774,0.005968038],"genre_scores_gemma":[0.9933087,0.0001311777,0.005024148,0.00001448076,0.00000883014,0.00001631521,0.0009660323,0.00002923239,0.0005010343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06715448,"threshold_uncertainty_score":0.1335272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2282154076","doi":"10.3846/20296991.2015.1123445","title":"ESTIMATING EULER POLE PARAMETERS FOR EASTERN CANADA USING GPS VELOCITIES","year":2015,"lang":"en","type":"article","venue":"Geodesy and Cartography","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Intraplate earthquake; Geology; Post-glacial rebound; Seismology; Global Positioning System; Geodesy; Euler's rotation theorem; Rotation (mathematics); Current (fluid); Geomorphology; Glacial period; Geometry; Oceanography","authors":[{"name":"Mohammad Ali Goudarzi","is_ca":true},{"name":"Marc Cocard","is_ca":true},{"name":"Rock Santerre","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04107358040731864,"gpt":0.2253274169913032,"spread":0.1842538365839846,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002639272,0.0006154329,0.0003459684,0.003481204,0.000883311,0.001102369,0.0004792481,0.0002761845,0.001278175],"category_scores_gemma":[0.002419486,0.0003478575,0.0003301735,0.003930379,0.0003487726,0.0003707248,0.0005242667,0.0004016185,0.0004031129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006737352,"about_ca_system_score_gemma":0.0110141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9783924,"about_ca_topic_score_gemma":0.9834709,"domain_scores_codex":[0.9997305,0.00001577811,0.00001156758,0.00006655957,0.00009276244,0.0000828495],"domain_scores_gemma":[0.9990544,0.0001127895,0.0001196259,0.00005982877,0.0005502512,0.0001032399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001478787,0.00004638367,0.8521718,0.00004147374,0.0001203585,0.0001911026,0.0003719787,0.0803118,0.002247034,0.001338463,0.003400124,0.05961161],"study_design_scores_gemma":[0.00002185334,0.00001226553,0.8722486,0.00004337866,0.00004853174,0.00006100726,0.0005371077,0.1188147,0.00108796,0.000679016,0.006388783,0.00005687577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747614,0.00030435,0.008236656,0.00009311451,0.000008236317,0.00005356927,0.01183075,0.0002682392,0.004443749],"genre_scores_gemma":[0.9751848,0.0002958582,0.009183751,0.00001255394,0.000004560225,0.00001870143,0.01391331,0.00003395648,0.001352451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02160764,"threshold_uncertainty_score":0.04888314,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2062902806","doi":"10.3846/20296991.2013.823704","title":"SNOW-COVERED SURFACE VARIABILITY AND DEM GENERATION USING AERIAL PHOTOGRAMMETRY IN MOUNT ODIN, CANADA","year":2013,"lang":"en","type":"article","venue":"Geodesy and Cartography","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Snow; Snowpack; Digital elevation model; Elevation (ballistics); Mount; Environmental science; Remote sensing; Glacier; Water equivalent; Geology; Meteorology; Geography; Physical geography; Engineering","authors":[{"name":"Nasser Najibi","is_ca":false},{"name":"Reza Arabsheibani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01542010003380548,"gpt":0.1864018690483356,"spread":0.1709817690145301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001153915,0.0003338464,0.0001473904,0.001007876,0.0008316455,0.0006573654,0.0005413518,0.0002172304,0.0006113794],"category_scores_gemma":[0.000447482,0.0001265041,0.0002643281,0.002473483,0.0002731601,0.0001878775,0.0003238243,0.0001961501,0.0001085196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007429059,"about_ca_system_score_gemma":0.006030517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9845309,"about_ca_topic_score_gemma":0.9898522,"domain_scores_codex":[0.9998757,0.000006200885,0.000004035654,0.00002624312,0.00004683958,0.00004103868],"domain_scores_gemma":[0.9998612,0.00001405119,0.00001451756,0.000009221554,0.00007913838,0.0000218405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003230507,0.0001950301,0.5977402,0.0002677572,0.0001701814,0.001849101,0.001777985,0.1991613,0.0128505,0.001895342,0.006731054,0.1770385],"study_design_scores_gemma":[0.00002307031,0.00002138475,0.7486425,0.00005429225,0.00003418029,0.0001293129,0.002314599,0.2401975,0.002596337,0.0001933993,0.005747386,0.00004604218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905749,0.0002069801,0.002177604,0.0001000359,0.000008012816,0.00005667361,0.003071048,0.0001073919,0.003697387],"genre_scores_gemma":[0.9900659,0.000169807,0.004776677,0.00001144878,0.000002534432,0.0000168016,0.003409296,0.00001242725,0.001535205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01546907,"threshold_uncertainty_score":0.05390185,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2523265165","doi":"10.3846/20296991.2016.1226388","title":"USING PIXEL-BASED AND OBJECT-BASED METHODS TO CLASSIFY URBAN HYPERSPECTRAL FEATURES","year":2016,"lang":"en","type":"article","venue":"Geodesy and Cartography","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Università degli Studi di Pavia","keywords":"Hyperspectral imaging; Pattern recognition (psychology); Pixel; Artificial intelligence; Support vector machine; Computer science; Segmentation; Feature (linguistics); Feature extraction","authors":[{"name":"A. Hadavand","is_ca":false},{"name":"Mehdi Mokhtarzadeh","is_ca":false},{"name":"Mohammad Javad Valadan Zoej","is_ca":false},{"name":"Saeid Homayouni","is_ca":true},{"name":"M. Saadatseresht","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02237846050484841,"gpt":0.2823605784573717,"spread":0.2599821179525232,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009936246,0.0007848346,0.0005531826,0.003633588,0.0002669519,0.0009765914,0.0004746373,0.0006069046,0.0005866796],"category_scores_gemma":[0.0010266,0.0002035539,0.000698683,0.001527894,0.0003919045,0.000990173,0.0004673383,0.0003421091,0.0003361468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003618725,"about_ca_system_score_gemma":0.000325259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001593473,"about_ca_topic_score_gemma":0.002720511,"domain_scores_codex":[0.9993849,0.00009241563,0.00003714133,0.0001785998,0.0002482517,0.00005858792],"domain_scores_gemma":[0.9994148,0.0001560296,0.00009458613,0.00005977814,0.0002485948,0.00002621542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002531426,0.0003360234,0.01790214,0.0003221314,0.0002792679,0.0001132263,0.0002345298,0.04792175,0.07886984,0.001774692,0.00151093,0.8504823],"study_design_scores_gemma":[0.00003157928,0.0002290023,0.05230407,0.00005652954,0.0001674283,0.0003145567,0.000345832,0.8769206,0.06274156,0.002132792,0.004677047,0.00007896564],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2598726,0.0009761917,0.7327964,0.0001221495,0.00008202015,0.0002310963,0.0003914763,0.001267735,0.004260318],"genre_scores_gemma":[0.5716883,0.0004386647,0.4244851,0.00007656471,0.00005309449,0.0001535161,0.001028439,0.00008100237,0.001995223],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003633588,"threshold_uncertainty_score":0.005254865,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2948647692","doi":"10.24425/gac.2019.126094","title":"Research on Earth rotation and geodynamics in Poland in 2015–2018","year":2019,"lang":"en","type":"article","venue":"Geodesy and Cartography","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Faculty of Civil Engineering and Geodesy, Military University of Technology; Politechnika Wrocławska; Uniwersytet Przyrodniczy we Wroclawiu; Wojskowa Akademia Techniczna; Politechnika Warszawska","keywords":"Geodynamics; Earth's rotation; Geodesy; Earth (classical element); Rotation (mathematics); Polar motion; Geology; Geography; Earth science; Geophysics; Mathematics; Geometry; Seismology; Mathematical physics","authors":[{"name":"Janusz Bogusz","is_ca":false},{"name":"Aleksander Brzeziński","is_ca":false},{"name":"Jolanta Nastula","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02412669741852518,"gpt":0.2664763384636393,"spread":0.2423496410451141,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000412406,0.0003038594,0.0002368883,0.002742301,0.0003021208,0.0008552786,0.0001437199,0.0001749299,0.0007700672],"category_scores_gemma":[0.0007087468,0.0001543172,0.0001869978,0.003281178,0.000266717,0.0007499048,0.0008941206,0.0002807544,0.0003357682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005334,"about_ca_system_score_gemma":0.001553268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01516162,"about_ca_topic_score_gemma":0.02126883,"domain_scores_codex":[0.9998009,0.00001515279,0.00003148522,0.00004976891,0.00004784851,0.00005497454],"domain_scores_gemma":[0.9997683,0.00002134113,0.00008693337,0.00001282401,0.00007664713,0.00003404285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000602995,0.00008656809,0.5150495,0.001996477,0.0001950969,0.001297042,0.008124878,0.002100938,0.00639608,0.01592838,0.01263383,0.4355883],"study_design_scores_gemma":[0.000007031714,0.00006275583,0.8901278,0.0001902111,0.00004524053,0.0002682247,0.002240476,0.0002711955,0.001352332,0.0005218102,0.1049001,0.00001279737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951071,0.01495147,0.002049041,0.001469788,0.0001488765,0.00006035569,0.00630809,0.00006376923,0.02387767],"genre_scores_gemma":[0.9601018,0.01904869,0.001923257,0.0001795366,0.00009479807,0.00004289694,0.006584111,0.00001877982,0.01200618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01516162,"threshold_uncertainty_score":0.03014678,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402839764","doi":"10.3846/gac.2024.19634","title":"Investigation of the effects of Kahramanmaraş earthquake series on Cyprus Arc, Dead Sea fault, Hatay regions and stations close to two earthquakes epicenters","year":2024,"lang":"en","type":"article","venue":"Geodesy and Cartography","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"U.S. Geological Survey","keywords":"Seismology; Geology; Series (stratigraphy); Fault (geology); Dead sea; Island arc; Subduction; Tectonics; Paleontology; Oceanography","authors":[{"name":"Atınç Pırtı","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009594148921548454,"gpt":0.2126855190479277,"spread":0.2030913701263792,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001692325,0.000253322,0.0002180744,0.0008728555,0.0003840498,0.0004662664,0.0002253876,0.000223106,0.0007241509],"category_scores_gemma":[0.0005896386,0.00009188737,0.0001890484,0.0009517623,0.0002318384,0.0001921093,0.0002683667,0.0002306078,0.0001196998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005313334,"about_ca_system_score_gemma":0.0003859181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0806057,"about_ca_topic_score_gemma":0.1444476,"domain_scores_codex":[0.9998579,0.00002004466,0.0000104732,0.00003518994,0.00003884213,0.00003748494],"domain_scores_gemma":[0.9996667,0.00005799126,0.000115118,0.00001962069,0.00009114297,0.00004948189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003778611,0.0001548837,0.951786,0.00009804622,0.0002017753,0.002429966,0.001261141,0.005181595,0.01139627,0.0003466893,0.001640661,0.02512507],"study_design_scores_gemma":[0.000001821412,0.00002779705,0.9981334,0.000003571256,0.00001930216,0.00005572379,0.0004651583,0.000690313,0.000249817,0.000007837691,0.0003421447,0.000003340444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988455,0.00008061541,0.00002532526,0.00002875931,0.00000430287,0.000003527448,0.0001808087,0.000005392836,0.0008258746],"genre_scores_gemma":[0.999317,0.0001024337,0.00003572385,0.000006960841,0.000006750064,0.000003078591,0.0002219023,0.000001830885,0.0003041634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0806057,"threshold_uncertainty_score":0.160273,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2794277432","doi":"10.22389/0016-7126-2018-931-1-2-7","title":"Hydrogeology correction in the gravitational field from satellite data","year":2018,"lang":"en","type":"article","venue":"Geodesy and Cartography","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Gravimeter; Gravitational field; Gravitational acceleration; Geodesy; Acceleration; Geology; Satellite; Hydrogeology; Field (mathematics); Gravitation; Geophysics; Physics; Classical mechanics; Geotechnical engineering; Astronomy","authors":[{"name":"V.D. Jushkin","is_ca":false},{"name":"Leonid Zotov","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02740123861967135,"gpt":0.2350595646345629,"spread":0.2076583260148916,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007647622,0.0003333754,0.0002066791,0.001246838,0.000237515,0.000440245,0.0002390018,0.0001381138,0.001033121],"category_scores_gemma":[0.002992011,0.0001141955,0.0002391205,0.001398975,0.0002096839,0.0002962598,0.0003691042,0.0001981018,0.0004846287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005387132,"about_ca_system_score_gemma":0.0007037568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01633922,"about_ca_topic_score_gemma":0.02443022,"domain_scores_codex":[0.9991024,0.0001982455,0.00005130465,0.0002141963,0.000354397,0.00007950782],"domain_scores_gemma":[0.9986046,0.0002588375,0.0001879376,0.0002963525,0.0006250549,0.00002720235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003571776,0.00006602706,0.3528804,0.0004259472,0.0002425268,0.0003198274,0.0005611712,0.04707605,0.08742759,0.002537567,0.003759127,0.5043466],"study_design_scores_gemma":[0.00002358889,0.0001431629,0.8494135,0.0000775833,0.000101301,0.0003448635,0.0002160448,0.06388072,0.0533967,0.0009249566,0.03142754,0.00004996587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047026,0.001334817,0.08247979,0.0002400147,0.0003344159,0.00009969091,0.002355955,0.001262263,0.007190359],"genre_scores_gemma":[0.9502915,0.0003917095,0.04454595,0.00005153633,0.00005725928,0.00003316657,0.001597999,0.000212826,0.002818123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01633922,"threshold_uncertainty_score":0.03248823,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}