{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"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":"acf4bbdb0664","filters":{"venue":"Earth Sciences"}},"results":[{"id":"W2898882699","doi":"10.11648/j.earth.20180706.12","title":"Nature of Old Maps: As Primary Source Materials for Historical Geography","year":2018,"lang":"en","type":"article","venue":"Earth Sciences","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cadastre; Geography; Scale (ratio); Cartography; Historical geography; Object (grammar); Grid; Meaning (existential); Empire; Space (punctuation); Human geography; Regional science; Archaeology; Economic geography; Computer science; Epistemology; Artificial intelligence","authors":[{"name":"Akihiro Kinda","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01140467946730373,"gpt":0.2651977051947886,"spread":0.2537930257274849,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009007799,0.0007130489,0.0004912948,0.008621007,0.003241224,0.01861018,0.002095244,0.001749416,0.01539101],"category_scores_gemma":[0.02655116,0.0005515145,0.0003842327,0.01102299,0.00830954,0.02432029,0.005198038,0.002722001,0.004255668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002917062,"about_ca_system_score_gemma":0.002261556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099555,"about_ca_topic_score_gemma":0.001912744,"domain_scores_codex":[0.9930007,0.003784222,0.0003843886,0.000537862,0.002004839,0.0002880226],"domain_scores_gemma":[0.9765663,0.01030865,0.001434586,0.005148741,0.00535663,0.00118504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005706053,0.00002335341,0.001655856,0.0007405582,0.00001798885,0.0003785357,0.01896362,0.0002916595,0.0003095074,0.7674646,0.05887256,0.1512247],"study_design_scores_gemma":[0.000005624863,0.00001122659,0.001392104,0.0007103065,0.00001440085,0.0003821022,0.005853734,0.0002032868,0.0003566822,0.08504717,0.9059994,0.00002404242],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02472293,0.03584723,0.1580554,0.04639066,0.008746,0.0003647793,0.004399815,0.001521301,0.7199519],"genre_scores_gemma":[0.6131069,0.04216722,0.1596854,0.006448779,0.008498157,0.0008500926,0.004524502,0.003337711,0.1613812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01861018,"threshold_uncertainty_score":0.0514881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404139691","doi":"10.5772/intechopen.1005551","title":"Ore Geology","year":2024,"lang":"en","type":"book","venue":"Earth Sciences","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geology; Mining engineering","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02889546991647418,"gpt":0.2247807504179969,"spread":0.1958852805015227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001936992,0.0006988358,0.000385903,0.002136249,0.001071175,0.002102565,0.0005806994,0.0006796796,0.0948488],"category_scores_gemma":[0.0003890937,0.0003172132,0.0003253992,0.002096185,0.0006291718,0.002059967,0.0009321852,0.001360055,0.06849154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656751,"about_ca_system_score_gemma":0.001148873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007196577,"about_ca_topic_score_gemma":0.01115483,"domain_scores_codex":[0.9997942,0.00001523589,0.00001198526,0.00004321969,0.0001209567,0.00001440304],"domain_scores_gemma":[0.9998714,0.00002177575,0.000009412788,0.00001684845,0.00006846861,0.00001220005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001818701,0.00002001761,0.0002281624,0.0002742838,0.000004104965,0.0000951233,0.0002745254,0.0003629724,0.001476827,0.06599441,0.7357335,0.195518],"study_design_scores_gemma":[4.084409e-7,0.000002397871,0.000119755,0.00003300094,4.425896e-7,0.00005376715,0.00001408021,0.00002054162,0.00007446081,0.002168064,0.9975121,0.000001075086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008922901,0.01914594,0.003290016,0.002711904,0.002597177,0.00006515226,0.002233702,0.000463687,0.9686002],"genre_scores_gemma":[0.002751285,0.008752475,0.002209971,0.0006211707,0.0003521097,0.00003063671,0.001235519,0.000249711,0.9837971],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0948488,"threshold_uncertainty_score":0.3173009,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1608599740","doi":"10.5772/25475","title":"Remote Predictive Mapping: An Approach for the Geological Mapping of Canada’s Arctic","year":2012,"lang":"en","type":"book-chapter","venue":"Earth Sciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Geological Survey of Canada","funders":"Canadian Space Agency; Natural Resources Canada; U.S. Geological Survey","keywords":"Geologic map; Geological survey; Field (mathematics); Cartography; Inference; Remote sensing; Process (computing); Geology; Computer science; Data mining; Geography; Artificial intelligence; Geophysics","authors":[{"name":"Juan Javier Vesga Rodríguez","is_ca":true},{"name":"Ernst Schetselaar","is_ca":true},{"name":"P. Behni","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05532944816168336,"gpt":0.2229618550782521,"spread":0.1676324069165688,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001302,0.0007135114,0.0003190147,0.005301188,0.002691737,0.003819286,0.00182509,0.0006404049,0.003882757],"category_scores_gemma":[0.002351926,0.000357897,0.0007063191,0.007337198,0.00145774,0.0010174,0.00247509,0.001039929,0.0007969149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009338886,"about_ca_system_score_gemma":0.02963641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8897682,"about_ca_topic_score_gemma":0.9196969,"domain_scores_codex":[0.9994049,0.00008417237,0.00002138228,0.000124739,0.0002927201,0.00007207715],"domain_scores_gemma":[0.9993584,0.00009558823,0.00004328828,0.00008638684,0.0003652364,0.00005111705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005178451,0.00004401316,0.00936681,0.0002922947,0.00007621142,0.0007173842,0.003074528,0.1003047,0.002918334,0.226072,0.04099732,0.6160846],"study_design_scores_gemma":[0.00002424091,0.00002150201,0.0137286,0.0004723753,0.00007593182,0.0005365757,0.004058394,0.2046909,0.002049031,0.101927,0.6722634,0.0001520451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007984126,0.001543084,0.9159212,0.002398652,0.000234102,0.0003187396,0.005123061,0.002175084,0.06430206],"genre_scores_gemma":[0.1211229,0.002970895,0.8489805,0.0002886601,0.0001075165,0.0002428396,0.004729257,0.000480019,0.02107739],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1102318,"threshold_uncertainty_score":0.2217619,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3105806937","doi":"10.11648/j.earth.20200905.18","title":"Comparison of Greenhouse Gas Emissions Per Capita Per Year Among Countries Considering Methane Emissions","year":2020,"lang":"en","type":"article","venue":"Earth Sciences","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","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":"","keywords":"Greenhouse gas; Per capita; Agricultural economics; Environmental science; Natural resource economics; Agriculture; Economics; Business; Geography; Population; Demography; Ecology","authors":[{"name":"Zhang Yu","is_ca":false},{"name":"Mingshan Su","is_ca":false},{"name":"Yang Shanshan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05707878013871065,"gpt":0.2550907967298756,"spread":0.198012016591165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003019336,0.000268128,0.0002184338,0.002652719,0.0001243204,0.0005822359,0.0001510383,0.0001547932,0.000921262],"category_scores_gemma":[0.0008441524,0.00009692907,0.0007899631,0.003854547,0.0001784534,0.0006192331,0.0002593859,0.0002038771,0.0001760595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003921163,"about_ca_system_score_gemma":0.0002421878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007955324,"about_ca_topic_score_gemma":0.008473837,"domain_scores_codex":[0.9997163,0.00005395657,0.00004150548,0.00006795285,0.00005457089,0.00006561997],"domain_scores_gemma":[0.9995806,0.0001247467,0.0001357829,0.00002786774,0.0001086236,0.00002228116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000338577,0.00003015255,0.941887,0.0002961534,0.000808025,0.0004052195,0.0003742669,0.01480107,0.00254849,0.001711873,0.001499944,0.03529915],"study_design_scores_gemma":[0.000009056123,0.00008257565,0.9888632,0.00003518228,0.0002676559,0.000407475,0.001344859,0.002940104,0.001381599,0.0003461317,0.004297554,0.00002437173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890169,0.001357018,0.0006366715,0.00004998846,0.00001874619,0.00000762311,0.004151802,0.00003917787,0.004721981],"genre_scores_gemma":[0.9948093,0.0008537055,0.0004692547,0.00001309456,0.00000921644,0.00001011435,0.003409451,0.00000684734,0.0004189755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007955324,"threshold_uncertainty_score":0.015818,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412202349","doi":"10.5772/intechopen.1011319","title":"The Evolution of Precise Positioning Techniques","year":2025,"lang":"en","type":"book-chapter","venue":"Earth Sciences","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"CNH Industrial (Canada)","funders":"","keywords":"Computer science","authors":[{"name":"John Aggrey","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008465976514739567,"gpt":0.2141342580315911,"spread":0.2056682815168515,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00592288,0.001438836,0.001164137,0.002713277,0.001399556,0.006029777,0.0030191,0.003292709,0.009175316],"category_scores_gemma":[0.01228589,0.0009855214,0.001102216,0.003698589,0.004203601,0.01007206,0.004633994,0.006037862,0.007895999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002803636,"about_ca_system_score_gemma":0.003266328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003696918,"about_ca_topic_score_gemma":0.001803262,"domain_scores_codex":[0.9911991,0.002103556,0.0005300764,0.00165931,0.004162909,0.0003450596],"domain_scores_gemma":[0.9937976,0.002308205,0.0003357047,0.001213247,0.002169166,0.0001760366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007334613,0.00003562904,0.001109764,0.00121498,0.00005738739,0.0001746628,0.0008779723,0.008225454,0.002726251,0.4538696,0.02661856,0.5050164],"study_design_scores_gemma":[0.00001358203,0.0001101011,0.0006380455,0.0009010506,0.00003059492,0.0003694077,0.0003875969,0.00665099,0.001850248,0.1106836,0.8782901,0.00007452272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.006452525,0.1556093,0.6357901,0.02413949,0.009793289,0.0002234383,0.0009429074,0.001898145,0.1651508],"genre_scores_gemma":[0.1319264,0.2647433,0.5020692,0.01018981,0.01033948,0.0005464235,0.002071457,0.001608336,0.07650559],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009175316,"threshold_uncertainty_score":0.03132355,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}