{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":32,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":32,"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"},"query_hash":"b61e27bab401","filters":{"venue":"Acta Geophysica"}},"results":[{"id":"W4245424902","doi":"10.1007/s11600-018-0226-y","title":"Analysis of deterministic and geostatistical interpolation techniques for mapping meteorological variables at large watershed scales","year":2018,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Kriging; Inverse distance weighting; Interpolation (computer graphics); Multivariate interpolation; Watershed; Geostatistics; Spline (mechanical); Precipitation; Remote sensing; Weighting; Environmental science; Spline interpolation; Spatial variability; Meteorology; Mathematics; Bilinear interpolation; Geology; Statistics; Computer science; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.02177538478060756,"gpt":0.2495931379751193,"spread":0.2278177531945117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003066771,0.00009591788,0.0002697516,0.0001785194,0.0001548763,0.00002979107,0.00009743595,0.00004657183,0.0005158642],"category_scores_gemma":[0.0001391981,0.00007310435,0.00009200034,0.0003124806,0.0001345653,0.0001088001,0.00001973345,0.00003095733,0.000009085998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003248687,"about_ca_system_score_gemma":0.000006832648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008942967,"about_ca_topic_score_gemma":0.0005859159,"domain_scores_codex":[0.9991623,0.00006374506,0.0002227811,0.0002215085,0.0001458372,0.0001838322],"domain_scores_gemma":[0.9992529,0.0003736902,0.0001078688,0.0001134726,0.0000970925,0.00005493973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004614045,0.0001233719,0.8901663,0.0001067643,0.002074012,0.000002531844,0.001605054,0.00002624351,0.04219536,0.001197532,0.0006165448,0.06142489],"study_design_scores_gemma":[0.0001484567,0.0002632501,0.7018816,0.000009549707,0.0007514165,4.124462e-7,0.00008596772,0.2933124,0.0008385068,0.002002277,0.0005723346,0.0001338456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631522,0.00002069446,0.03563391,0.0000984116,0.00003032114,0.0001356546,0.0002926232,0.00003291385,0.000603311],"genre_scores_gemma":[0.9891847,0.000006819772,0.01016498,0.00007440307,0.00006351936,0.000003454513,0.0004583102,0.000001983677,0.00004183709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2932861,"threshold_uncertainty_score":0.5648351,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2805094882","doi":"10.1007/s11600-018-0168-4","title":"Reservoir water level forecasting using group method of data handling","year":2018,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Mean squared error; Group (periodic table); Water level; Statistics; Hydrology (agriculture); Data mining; Mathematics; Computer science; Petroleum engineering; Geology; Geography; Geotechnical engineering; Chemistry; Cartography","retraction":null,"screen_n_in":null,"score":{"opus":0.2182918739759742,"gpt":0.3421636450404472,"spread":0.1238717710644729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008362324,0.0001748584,0.0002539051,0.00003026385,0.0002865129,0.00003273693,0.0009244091,0.0000796855,0.0005802169],"category_scores_gemma":[0.0002001268,0.000125181,0.00005308391,0.0002496318,0.000373348,0.0005430445,0.00202217,0.0001644035,0.0001913023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005493933,"about_ca_system_score_gemma":0.00000746467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608307,"about_ca_topic_score_gemma":0.00007745573,"domain_scores_codex":[0.9981539,0.0001180574,0.0002951305,0.0005820675,0.0003458081,0.0005050291],"domain_scores_gemma":[0.9986858,0.0001652742,0.0001299494,0.0009114001,0.00002053177,0.0000870321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000526971,0.0001268241,0.001360132,0.00001871415,0.00003040272,0.000007800798,0.0007374538,0.002369256,0.9737714,0.00002041459,0.0005497336,0.02095519],"study_design_scores_gemma":[0.0004036564,0.0003448219,0.00270032,0.00008755283,0.00007565159,0.00003419304,0.00002648103,0.8832936,0.101899,0.003554239,0.007146179,0.000434301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819024,0.000002170447,0.01525747,0.0001390008,0.0001130429,0.0001112766,0.00002555628,0.00004742931,0.002401608],"genre_scores_gemma":[0.8309084,3.584932e-7,0.1686104,0.0000992514,0.0002205823,0.000001530616,0.00002827174,0.00002229439,0.0001088576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8809244,"threshold_uncertainty_score":0.6352969,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883008720","doi":"10.1007/s11600-018-0178-2","title":"Evaluation of burst liability in kimberlite using support vector machine","year":2018,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Support vector machine; Sigma; Artificial intelligence; Process (computing); Computer science; Data mining; Pattern recognition (psychology); Machine learning; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02895230505430682,"gpt":0.2739254393944479,"spread":0.244973134340141,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004605947,0.00009103087,0.0001433066,0.00005145495,0.00002381937,0.000007165408,0.00008401169,0.00004047541,0.00006871126],"category_scores_gemma":[0.00004055321,0.00009515804,0.0000387607,0.0001526529,0.00001156943,0.0001012426,0.00002945372,0.00007551852,0.00001125053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104855,"about_ca_system_score_gemma":0.00004561668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001905645,"about_ca_topic_score_gemma":0.00006950317,"domain_scores_codex":[0.9992162,0.0000286021,0.0001885472,0.0001343196,0.0002738288,0.0001584738],"domain_scores_gemma":[0.9995077,0.00001691245,0.00003176118,0.000245322,0.0001680844,0.00003018857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002440417,0.0001814912,0.0003988498,0.0001243626,0.00007583443,0.000001057748,0.001689025,0.05703265,0.9147667,0.000510247,0.00007720672,0.02511818],"study_design_scores_gemma":[0.0002357364,0.00004213424,0.00245254,0.0000219652,0.00003910722,3.711581e-7,0.00001369724,0.9682373,0.02740926,0.001278069,0.0001725601,0.00009728542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971476,0.00002787547,0.001065948,0.00001305626,0.0002311111,0.0001437104,0.000009301932,0.00003574878,0.001325665],"genre_scores_gemma":[0.9993519,0.000004129962,0.0004650134,0.000007437603,0.0001291489,0.000006409173,0.000008838052,0.00001864473,0.00000844282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9112046,"threshold_uncertainty_score":0.3880433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3168593366","doi":"10.1007/s11600-021-00617-2","title":"Integrated preprocessing techniques with linear stochastic approaches in groundwater level forecasting","year":2021,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph; Université Laval","funders":"","keywords":"Adaptive neuro fuzzy inference system; Multilayer perceptron; Akaike information criterion; Artificial neural network; Moving average; Autoregressive integrated moving average; Nonlinear system; Mean squared error; Computer science; Normalization (sociology); Statistics; Autoregressive–moving-average model; Mean absolute percentage error; Preprocessor; Time series; Autoregressive model; Data mining; Mathematics; Fuzzy logic; Artificial intelligence; Fuzzy control system","retraction":null,"screen_n_in":null,"score":{"opus":0.09122146162597249,"gpt":0.2430501247458113,"spread":0.1518286631198388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001863823,0.0002140705,0.0002327519,0.00003400903,0.0001319996,0.00006649949,0.00021159,0.00008628196,0.000156395],"category_scores_gemma":[0.0001517676,0.0001588772,0.00003954417,0.000623274,0.0002179747,0.0002953962,0.0002540914,0.000327482,0.00006057513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001335187,"about_ca_system_score_gemma":0.00003334023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003797619,"about_ca_topic_score_gemma":0.0001973337,"domain_scores_codex":[0.9984688,0.00006699889,0.0002143322,0.0005749838,0.0002547369,0.0004201537],"domain_scores_gemma":[0.9994515,0.00008674378,0.00008802855,0.0002856917,0.0000180587,0.00007000406],"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":[0.0005848825,0.004065487,0.04072994,0.0002712724,0.0001528057,0.0009372475,0.009524435,0.1631702,0.2765587,0.0001787488,0.0005383626,0.503288],"study_design_scores_gemma":[0.001455029,0.001160278,0.03718311,0.001169149,0.0001183392,0.0004629504,0.0006019493,0.8460819,0.100332,0.006627327,0.002543955,0.00226398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885935,0.000005419978,0.007112636,0.0002413809,0.00001984891,0.0001537653,0.000002608537,0.0001420225,0.003728777],"genre_scores_gemma":[0.9689202,3.232932e-7,0.03036923,0.0001304221,0.00004917408,0.00003860049,0.00002161687,0.00002962869,0.0004407788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6829118,"threshold_uncertainty_score":0.6478826,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885506667","doi":"10.1007/s11600-018-0183-5","title":"Forecasting surface water-level fluctuations of a small glacial lake in Poland using a wavelet-based artificial intelligence method","year":2018,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Mean squared error; Artificial neural network; Mean absolute error; Range (aeronautics); Statistics; Surface water; Environmental science; Wavelet transform; Glacial lake; Water level; Scope (computer science); Wavelet; Hydrology (agriculture); Meteorology; Econometrics; Computer science; Physical geography; Mathematics; Geology; Artificial intelligence; Geography; Glacier; Engineering; Cartography","retraction":null,"screen_n_in":null,"score":{"opus":0.101880041003181,"gpt":0.2986848639811814,"spread":0.1968048229780004,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005603107,0.0001935214,0.0002724754,0.00005565634,0.0001902754,0.00002991827,0.0002943614,0.00009752873,0.0005322127],"category_scores_gemma":[0.0002164151,0.0001572834,0.00007774312,0.0005025693,0.0003802875,0.0001191419,0.0002176184,0.0001838657,0.0001062238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009040795,"about_ca_system_score_gemma":0.00003181038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00192567,"about_ca_topic_score_gemma":0.003176067,"domain_scores_codex":[0.9982432,0.0001497335,0.0004126315,0.0004240734,0.0002658579,0.0005045781],"domain_scores_gemma":[0.9992463,0.0002277137,0.0001359185,0.0002759545,0.00003241633,0.00008169573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001620823,0.0004127357,0.001748247,0.00002083891,0.00001617151,0.00001389035,0.002910123,0.06563548,0.875111,0.0000788623,0.00001228927,0.05387833],"study_design_scores_gemma":[0.000115153,0.0002081957,0.003673901,0.0000378524,0.00001965728,0.000004902319,0.00002669261,0.8494033,0.1417441,0.00443245,0.0001031461,0.0002306876],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601689,5.870091e-7,0.03878844,0.0001795696,0.0000962547,0.0001865918,0.00002166357,0.00003189543,0.0005261207],"genre_scores_gemma":[0.8805512,9.685961e-8,0.119212,0.0000829007,0.0001014229,0.000003265274,0.00001133733,0.00001796158,0.00001986956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7837678,"threshold_uncertainty_score":0.641383,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2272455628","doi":"10.1515/acgeo-2015-0053","title":"Experimental Investigation of Kinetic Energy and Momentum Coefficients in Regular Channels with Stiff and Flexible Elements Simulating Submerged Vegetation","year":2015,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Flume; Kinetic energy; Momentum (technical analysis); Mechanics; Energy–momentum relation; Channel (broadcasting); Flow (mathematics); Geology; Open-channel flow; Geometry; Geotechnical engineering; Hydrology (agriculture); Mathematics; Physics; Classical mechanics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01204397194562826,"gpt":0.2166594219148728,"spread":0.2046154499692446,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009568847,0.00009953336,0.0001219797,0.00003721089,0.0000413427,0.000007950051,0.0000533058,0.0000327604,0.00001493279],"category_scores_gemma":[0.000005940289,0.00009016511,0.000006694047,0.0001760521,0.0001723405,0.0002295849,0.00003645547,0.00003465453,0.000001399094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002437871,"about_ca_system_score_gemma":0.000008550725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002108232,"about_ca_topic_score_gemma":0.00002391502,"domain_scores_codex":[0.9992425,0.00003010242,0.0001606027,0.000220255,0.000197489,0.0001490228],"domain_scores_gemma":[0.9997417,0.0000138394,0.00008183461,0.00007848068,0.000008467137,0.00007569671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002490908,0.0003580847,0.3294663,0.00006078371,0.00003267977,0.00000698227,0.008544004,0.02359377,0.6357878,0.0002002584,0.00003563783,0.001664617],"study_design_scores_gemma":[0.004288577,0.001355,0.3235538,0.0001204776,0.00005008738,0.000003219593,0.0007449688,0.0519098,0.6152664,0.001992137,0.0002681953,0.0004473338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994527,0.00007206618,0.00009119835,0.00004733515,0.00002405277,0.00011137,7.814781e-7,0.00001152849,0.0001889882],"genre_scores_gemma":[0.999683,0.000004405861,0.0001657536,0.00005030042,0.000008830962,0.00001803629,0.00001893289,0.000007630598,0.00004310294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02831603,"threshold_uncertainty_score":0.3676826,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4225856020","doi":"10.1007/s11600-022-00769-9","title":"Effects of sampling configurations of acoustic Doppler velocimeter (ADV) on turbulence measurements around large roughness elements","year":2022,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Turbulence; Acoustic Doppler velocimetry; Sampling (signal processing); Acoustics; SIGNAL (programming language); Reynolds stress; Wake; Filter (signal processing); Noise (video); Doppler effect; Geology; Physics; Mathematics; Mechanics; Laser Doppler velocimetry; Engineering; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01664346640360364,"gpt":0.2422722016443619,"spread":0.2256287352407582,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001922594,0.0001423234,0.0002135833,0.00003541061,0.0002467924,0.000004864695,0.0003091529,0.00003288564,0.001291541],"category_scores_gemma":[0.00002668887,0.0001390168,0.00006349487,0.0002478584,0.00009736872,0.0001588651,0.0000969755,0.0001583195,0.00003940888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005378758,"about_ca_system_score_gemma":0.00002006312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005666494,"about_ca_topic_score_gemma":0.000008210547,"domain_scores_codex":[0.9985542,0.00006832633,0.0002752427,0.0002846723,0.0005512883,0.0002662448],"domain_scores_gemma":[0.9993941,0.0001456204,0.0001835459,0.000218234,0.00001522807,0.00004326236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002161295,0.002182946,0.01698547,0.0001992922,0.00018018,0.000007349121,0.001655402,0.02020713,0.9570737,0.0001109627,0.0004427294,0.0007387499],"study_design_scores_gemma":[0.00494605,0.002431723,0.4916097,0.0001514942,0.0006534635,0.000006044689,0.0004642756,0.004308904,0.4840359,0.002181475,0.008125499,0.001085461],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978752,0.00001984569,0.0005870569,0.00006551968,0.0001342523,0.0003058042,0.00004351489,0.00001781363,0.0009510114],"genre_scores_gemma":[0.9993564,0.000005679564,0.0001440333,0.000244515,0.00001720258,0.00009088233,0.00003996471,0.00001212177,0.00008917783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4746242,"threshold_uncertainty_score":0.9996214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387136823","doi":"10.1007/s11600-023-01176-4","title":"Determination of reactivated regions and faults in the Iraq Southern Desert with the new edge technique, Inverse Tilt Angle of Second-gradients (ITAS)","year":2023,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Laurentian University","funders":"","keywords":"Basement; Aeromagnetic survey; Geology; Filter (signal processing); Enhanced Data Rates for GSM Evolution; Magnetic anomaly; Seismology; Geodesy; Geophysics; Magnetic field; Computer science; Artificial intelligence; Physics; Computer vision; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.0165252660981363,"gpt":0.2330718961374464,"spread":0.2165466300393101,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002162533,0.000104406,0.0001659506,0.00007470672,0.00006868564,0.000009950168,0.0002483434,0.00004427127,0.00002957294],"category_scores_gemma":[0.00006426387,0.00005285591,0.00004023136,0.001127568,0.0001223667,0.0001097932,0.0000174752,0.0001557423,0.00002107849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001849976,"about_ca_system_score_gemma":0.00003028625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002488279,"about_ca_topic_score_gemma":0.001975831,"domain_scores_codex":[0.9991511,0.0001544309,0.0001344194,0.0001700358,0.0001942713,0.0001957759],"domain_scores_gemma":[0.9990393,0.0005428519,0.0001120119,0.0002248374,0.00003450187,0.00004652981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009214573,0.0005986606,0.04912075,0.0002633159,0.0001374719,0.00005159497,0.02306149,0.00009893317,0.09629761,0.0006472982,0.01128201,0.8175194],"study_design_scores_gemma":[0.0004036078,0.0006487927,0.9739344,0.00004445557,0.00003349057,0.000005689754,0.0009778793,0.001933132,0.006663996,0.01339059,0.001805404,0.0001585934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978386,0.00001210177,0.00004573686,0.0008224136,0.00001502999,0.0002910939,0.00002895158,0.00001936815,0.0009267118],"genre_scores_gemma":[0.9990248,0.000007122751,0.0004198007,0.00008869678,0.00002852687,0.000005984224,0.00002769197,0.000003437289,0.0003939178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9248136,"threshold_uncertainty_score":0.376155,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158495945","doi":"10.2478/s11600-013-0198-x","title":"Experimental evidence of the double-porosity effects in geomaterials","year":2014,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Porosity; TRACER; Microstructure; Porous medium; Geotechnical engineering; Mineralogy; Materials science; Dispersion (optics); Geology; Composite material; Physics; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.01113497388965161,"gpt":0.2351605190656699,"spread":0.2240255451760183,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001303351,0.00008170117,0.0001345019,0.000008328266,0.00006951729,0.00001325451,0.0002343151,0.00001970801,0.00007306778],"category_scores_gemma":[0.00001652324,0.00005470586,0.00004045406,0.0001036466,0.0001208776,0.0001890274,0.0003069324,0.00003334967,0.00009435578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000044677,"about_ca_system_score_gemma":0.000002447458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008797636,"about_ca_topic_score_gemma":0.00005263151,"domain_scores_codex":[0.999323,0.00007258352,0.0001221857,0.0001581163,0.0001910092,0.0001330708],"domain_scores_gemma":[0.9995974,0.00008088106,0.00006499091,0.0002346049,0.000003962081,0.00001815537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002559758,0.00008202057,0.02601798,0.00001160533,0.000003364719,2.856958e-7,0.0007739289,0.000006270904,0.9713928,0.0001403237,0.0001525229,0.001393366],"study_design_scores_gemma":[0.0002294122,0.00004247738,0.5454507,0.00002801339,0.000003513499,2.463484e-7,0.00002326456,0.0000156954,0.4537438,0.00006333816,0.0003503745,0.00004918513],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987372,0.00001669064,0.00004009096,0.0001617935,0.0001539714,0.0001704606,3.715055e-7,0.000009743993,0.0007096992],"genre_scores_gemma":[0.9993807,0.000001015061,0.00002804505,0.0001011744,0.00002524873,0.00003425182,3.113741e-7,0.000004174709,0.0004250656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5194327,"threshold_uncertainty_score":0.223084,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1973779597","doi":"10.2478/s11600-012-0051-7","title":"Application of one-dimensional model to calculate water velocity distributions over elastic elements simulating Canadian waterweed plants (Elodea Canadensis)","year":2012,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Elodea canadensis; Geology; Channel (broadcasting); Open-channel flow; Structural geology; Open water; Hydrology (agriculture); Mechanics; Aquatic plant; Flow (mathematics); Geotechnical engineering; Physics; Oceanography; Engineering; Seismology","retraction":null,"screen_n_in":null,"score":{"opus":0.01068406087347929,"gpt":0.2246520875235236,"spread":0.2139680266500443,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001107065,0.0001433489,0.0001628863,0.00003617696,0.0002324389,0.000005662082,0.0001564737,0.0000745487,0.0003816477],"category_scores_gemma":[0.000007651664,0.000121582,0.00003781183,0.0001008261,0.00006403567,0.0002287028,0.00006377632,0.0001014425,0.0002723915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001900492,"about_ca_system_score_gemma":0.00003238861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1104041,"about_ca_topic_score_gemma":0.04543299,"domain_scores_codex":[0.9986635,0.00001739143,0.0002356043,0.0002421915,0.0002534923,0.0005877973],"domain_scores_gemma":[0.9993783,0.00002446662,0.00004743929,0.0001961638,0.00001410295,0.0003395068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009748299,0.000544265,0.1904702,0.00003587239,0.000141224,0.000003845653,0.002615628,0.2618795,0.5416487,0.0001932873,0.0006181095,0.00175185],"study_design_scores_gemma":[0.0005055713,0.00005946543,0.6893561,0.00001993306,0.000111389,0.000001718122,0.00001337637,0.240935,0.06498421,0.0007415198,0.002769067,0.0005026761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980043,0.000001965037,0.0009987234,0.0003105087,0.00004040582,0.0002120187,0.0001637143,0.00001740501,0.0002509599],"genre_scores_gemma":[0.9987908,3.968605e-7,0.0003802147,0.0003263361,0.0000310741,0.00002594477,0.0003631349,0.00001158333,0.00007052026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4988859,"threshold_uncertainty_score":0.9719853,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414599655","doi":"10.1007/s11600-025-01692-5","title":"Supervised and unsupervised machine learning for reservoir characterization in heterogeneous geological settings: a case study from the eastern Sirte Basin, Libya","year":2025,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"King Saud University","keywords":"Workflow; Wireline; Reservoir modeling; Artificial neural network; Cluster analysis; Predictive modelling; Facies; Regression; Unsupervised learning","retraction":null,"screen_n_in":null,"score":{"opus":0.01254140251211737,"gpt":0.2283960774016904,"spread":0.215854674889573,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001643224,0.0002105025,0.0003164242,0.0001032242,0.0001973438,0.0001152342,0.0001888578,0.00007960696,0.00001613624],"category_scores_gemma":[0.00008156434,0.0001582983,0.00008306221,0.0004076507,0.00003276841,0.0001581478,0.0001051354,0.0002500078,0.000005216058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002669577,"about_ca_system_score_gemma":0.000013901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006846625,"about_ca_topic_score_gemma":0.0006745859,"domain_scores_codex":[0.9988291,0.0001820467,0.0003041177,0.0003188778,0.0001239433,0.0002419251],"domain_scores_gemma":[0.999281,0.000289475,0.00003725225,0.0002946405,0.00004334275,0.00005427922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008923512,0.002132932,0.6232361,0.0005517288,0.002823098,0.001880014,0.04975455,0.1635194,0.125747,0.00004876967,0.0004064914,0.02900766],"study_design_scores_gemma":[0.001244561,0.0001059712,0.01128012,0.00003409728,0.00009579339,0.000007801198,0.001661659,0.9834266,0.0003276288,0.00006547527,0.001552523,0.000197768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996897,0.00008170072,0.0006259414,0.001537061,0.0000602306,0.0005828344,0.00003523609,0.0001446197,0.00003537365],"genre_scores_gemma":[0.9989474,0.00005360241,0.00003608723,0.0003530817,0.00007902412,0.0001508226,0.0002364903,0.00002711787,0.000116322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8199072,"threshold_uncertainty_score":0.6455216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2052040587","doi":"10.2478/s11600-014-0211-z","title":"Interannual variability of tropospheric NO2 column over central Europe — observations from SCIAMACHY and GEM-AQ model simulations","year":2014,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"SCIAMACHY; Troposphere; Environmental science; Climatology; Atmospheric sciences; Column (typography); Spatial variability; Meteorology; Geology; Geography; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01008231311578216,"gpt":0.1994694670428026,"spread":0.1893871539270204,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007880259,0.000132952,0.0002203668,0.000004794447,0.000145508,0.00004617247,0.0001691979,0.00004491771,0.0007620705],"category_scores_gemma":[0.00008614609,0.0001206246,0.00005137788,0.0002392252,0.0001239133,0.0003517179,0.0000309293,0.0001058136,0.00002627335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003819418,"about_ca_system_score_gemma":0.00004658713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004423959,"about_ca_topic_score_gemma":0.0007731784,"domain_scores_codex":[0.998973,0.00009210085,0.0002362652,0.0002773043,0.0001724929,0.0002488589],"domain_scores_gemma":[0.999104,0.0003344076,0.0001097185,0.0002736553,0.00007075475,0.000107431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007488296,0.0001449928,0.920179,0.00002000422,0.00006293432,7.46162e-7,0.0009869448,0.06810531,0.00169196,0.0006783462,0.0004825262,0.007572349],"study_design_scores_gemma":[0.0001547881,0.00004746898,0.5350714,0.000004354165,0.00002603908,1.038927e-7,0.00002106535,0.4615266,0.00001015847,0.002493087,0.0005639221,0.00008099701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944364,0.00001440343,0.002305347,0.0001576461,0.0001046556,0.0001173828,0.0004170077,0.000032214,0.002414954],"genre_scores_gemma":[0.9956682,0.00001404582,0.003676822,0.0002349791,0.00009992906,7.152476e-7,0.0001970333,0.000005845901,0.0001024294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3934213,"threshold_uncertainty_score":0.8344137,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2894320221","doi":"10.1007/s11600-018-0199-x","title":"3D joint inversion of Gradient and Mise-à-la-Masse borehole IP/Resistivity data and its application to magmatic sulfide mineral deposit exploration","year":2018,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Thornhill Medical (Canada); Brampton Civic Hospital","funders":"","keywords":"Borehole; Geology; Induced polarization; Mineralization (soil science); Geochemistry; Sulfide; Mineralogy; Prospectivity mapping; Mineral exploration; Inversion (geology); Drilling; Petrology; Ultramafic rock; Electrical resistivity and conductivity; Geomorphology; Paleontology; Soil science; Structural basin","retraction":null,"screen_n_in":null,"score":{"opus":0.02764943250334397,"gpt":0.2461578827700921,"spread":0.2185084502667481,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002292847,0.0001378762,0.00022304,0.00005994055,0.0001284672,0.0000389959,0.0001910947,0.00004665144,0.00001677923],"category_scores_gemma":[0.0001588723,0.0001121059,0.00002223032,0.0003311091,0.00008640841,0.0004090834,0.00009289722,0.00008455963,0.00006270577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003179535,"about_ca_system_score_gemma":0.00001516477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261772,"about_ca_topic_score_gemma":0.0003238712,"domain_scores_codex":[0.9988398,0.0001416823,0.0001933406,0.0004108569,0.000205747,0.0002086002],"domain_scores_gemma":[0.9990819,0.0002260983,0.00009773541,0.0003467204,0.00006332279,0.0001842547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000226498,0.0002126534,0.004739002,0.000192549,0.00003918089,0.000003432749,0.0009075571,0.00003198558,0.09447698,0.0003082675,0.001374657,0.8974872],"study_design_scores_gemma":[0.0002860097,0.0006357701,0.8437209,0.00003612918,0.00005928105,0.000002841407,0.0000375564,0.1345645,0.01266588,0.006204534,0.001555648,0.000230995],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966246,0.00007368004,0.001730007,0.0008395808,0.00004333305,0.0002841707,0.00006364422,0.00002036751,0.0003206262],"genre_scores_gemma":[0.9956887,0.00002624769,0.00382652,0.0001347639,0.0001331902,0.000004184506,0.0001257513,0.000003763861,0.00005690951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8972563,"threshold_uncertainty_score":0.4571547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2945942583","doi":"10.1007/s11600-019-00306-1","title":"Temporal stability of soil apparent electrical conductivity (ECa) in managed podzols","year":2019,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador","keywords":"Podzol; Stability (learning theory); Geology; Structural geology; Soil science; Electrical resistivity and conductivity; Earth science; Geophysics; Soil water; Geochemistry; Computer science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01230900260294972,"gpt":0.2220947789419637,"spread":0.2097857763390139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001917475,0.0001110581,0.00022714,0.00002511002,0.00002582012,0.000009795117,0.0001807966,0.00003891312,0.0004827218],"category_scores_gemma":[0.00004772187,0.0001058563,0.00004960752,0.0002831602,0.0000955617,0.0001325595,0.000170541,0.0001498293,0.0002076533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008990107,"about_ca_system_score_gemma":0.00001704973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003830331,"about_ca_topic_score_gemma":0.0003453906,"domain_scores_codex":[0.9989068,0.0000652926,0.0001961473,0.0003130565,0.0002573664,0.0002613647],"domain_scores_gemma":[0.9993947,0.0001174475,0.00009337725,0.0003322031,0.000007372305,0.00005488728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006989744,0.0007443394,0.8300976,0.00004664037,0.00001831186,0.000006081745,0.0005531932,0.0001394088,0.1561657,0.0008225966,0.0008077064,0.01052852],"study_design_scores_gemma":[0.0003852353,0.000118332,0.9854939,0.000008499519,0.000006420341,5.037789e-7,0.00007996234,0.002875008,0.007474993,0.002527585,0.0008649469,0.0001646154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911742,0.000003841222,0.00003159704,0.00009278065,0.00007018293,0.0002439425,0.00001175115,0.00001481331,0.008356842],"genre_scores_gemma":[0.9995803,0.000002752117,0.000209977,0.00003487795,0.00001392732,0.00001059881,0.0000100935,0.000007917188,0.0001295169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1553963,"threshold_uncertainty_score":0.5790341,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377984375","doi":"10.1007/s11600-023-01112-6","title":"The effect of embedding actual evapotranspiration uncertainty in water balance model: coupling of interval-based hydrologic model and METRIC method","year":2023,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Evapotranspiration; Streamflow; Groundwater; Water balance; Uncertainty analysis; Environmental science; Hydrology (agriculture); Metric (unit); Watershed; Interval (graph theory); Calibration; Mathematics; Statistics; Drainage basin; Geology; Computer science; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01159075960751569,"gpt":0.2680721082465112,"spread":0.2564813486389955,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008199866,0.0001170325,0.0002282018,0.0000682865,0.0001111525,0.000005799865,0.0001652433,0.00004350007,0.000005495998],"category_scores_gemma":[0.00004035834,0.0000667237,0.00005065353,0.0002694785,0.0001708295,0.0001057196,0.0001552103,0.00009328427,0.000008607738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002550934,"about_ca_system_score_gemma":0.000002201253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009862102,"about_ca_topic_score_gemma":0.00002332339,"domain_scores_codex":[0.9991396,0.00006215875,0.0001906458,0.0002200659,0.0001496321,0.0002379177],"domain_scores_gemma":[0.999357,0.0003989233,0.00006366495,0.0001591952,0.000004438639,0.00001676959],"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":[0.0001048308,0.00001397642,0.004340487,0.00003025276,0.00002101247,6.746266e-7,0.0004969771,0.9521211,0.04227271,0.0000157498,0.00001871322,0.0005634531],"study_design_scores_gemma":[0.0003627645,0.0001831451,0.001856094,0.000009784281,0.00003335573,5.093363e-8,0.00001412593,0.9756773,0.02056187,0.001227334,0.000006018915,0.00006817539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958612,0.000008476926,0.003339271,0.0003960384,0.00001916197,0.0002089843,0.00000241982,0.00002289218,0.000141534],"genre_scores_gemma":[0.9996247,0.00002522902,0.0002102195,0.00004503807,0.000004080271,0.00003831525,0.000006173804,0.000006881873,0.00003935503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02355612,"threshold_uncertainty_score":0.2720913,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2089403769","doi":"10.2478/s11600-007-0012-8","title":"Numerical analysis of one-dimensional nonlinear acoustic wave","year":2007,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Acoustic wave equation; Nonlinear system; Harmonics; Wavenumber; Physics; Acoustic wave; Waveform; Phase velocity; Acoustics; Mathematical analysis; Wave propagation; Frequency domain; Filter (signal processing); Mathematics; Optics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.00950540182300509,"gpt":0.2120669455724172,"spread":0.2025615437494121,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001054815,0.0001137062,0.0002548493,0.0001477504,0.00003034498,0.000008797364,0.00007680819,0.00005462192,0.00008506588],"category_scores_gemma":[0.00003298924,0.0001130463,0.000130852,0.0006952619,0.00002606374,0.00005855763,0.00001615718,0.0001246551,0.0000223064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003231184,"about_ca_system_score_gemma":0.00001350106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002519131,"about_ca_topic_score_gemma":0.000005103904,"domain_scores_codex":[0.9991577,0.000006228346,0.0002346413,0.0001386001,0.0002400802,0.0002227716],"domain_scores_gemma":[0.9994426,0.0001714177,0.00004729727,0.0001971009,0.00007255226,0.00006907208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002292219,0.0002208704,0.0001327916,0.00004680314,0.001201353,0.000008019892,0.0001427131,0.2161428,0.7755991,0.0001317189,0.0002370104,0.006113977],"study_design_scores_gemma":[0.0001452011,0.00004215072,0.02486438,0.00001022267,0.0006674782,9.230664e-7,0.00001639365,0.9460188,0.0277872,0.0001178949,0.0001596909,0.0001697011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569931,0.0000270111,0.04159441,0.00003196633,0.0001130142,0.000067824,0.00002745128,0.00008779841,0.001057418],"genre_scores_gemma":[0.9953433,0.000005699455,0.004383096,0.00003421044,0.0001123769,0.000001717127,0.00006852009,0.00001952192,0.00003156023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7478119,"threshold_uncertainty_score":0.4609894,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387901068","doi":"10.1007/s11600-023-01194-2","title":"A new intelligence model for evaluating clay compressibility in soft ground improvement: a combined approach of bees optimization and extreme learning machine","year":2023,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Extreme learning machine; Particle swarm optimization; Cuckoo search; Metaheuristic; Ant colony optimization algorithms; Artificial intelligence; Computer science; Firefly algorithm; Machine learning; Compressibility; Engineering; Artificial neural network; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03276907253314416,"gpt":0.2559728096812233,"spread":0.2232037371480792,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002281236,0.000128165,0.0002478637,0.00008629685,0.00004105391,0.00002034535,0.0001118632,0.00005305609,0.000004198509],"category_scores_gemma":[0.00008098431,0.0001344451,0.00006017041,0.0003497725,0.00001758423,0.00009201567,0.00005841987,0.0001547739,8.087142e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001882378,"about_ca_system_score_gemma":0.00001150172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001511931,"about_ca_topic_score_gemma":0.000004834822,"domain_scores_codex":[0.9992122,0.00001163357,0.0002447366,0.0002111977,0.0001256357,0.0001945797],"domain_scores_gemma":[0.999606,0.0001104213,0.00004506451,0.0001605879,0.00003078602,0.00004718982],"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":[0.000009581291,0.00002416618,0.00002755829,0.000176243,0.00002577565,8.198623e-8,0.0003834584,0.9580751,0.02205561,0.0000299989,0.000007035123,0.01918538],"study_design_scores_gemma":[0.0002685056,0.00006965329,0.0002878299,0.00003576445,0.00003015094,9.746306e-8,0.00005643395,0.9977213,0.0003768969,0.001026455,0.000001666643,0.000125278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1799055,0.00005439237,0.8195969,0.00001998185,0.00001217617,0.0001889954,0.000004353791,0.0001946892,0.0000230131],"genre_scores_gemma":[0.9702248,0.000031126,0.02953918,0.000002686188,0.00001264876,0.00003032259,0.00005788533,0.00002337144,0.00007797257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7903193,"threshold_uncertainty_score":0.5482512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308906286","doi":"10.1007/s11600-022-00942-0","title":"The hydrological impact of tropical cyclones on soil moisture using a sensor based hybrid deep learning model","year":2022,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Tropical cyclone; Flooding (psychology); Environmental science; Storm; Cyclone (programming language); Climatology; Tropical cyclone rainfall forecasting; Water content; Meteorology; Geology; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.0192015585532794,"gpt":0.2511010936389684,"spread":0.231899535085689,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000946673,0.0001928636,0.0002766022,0.00004909464,0.0009453575,0.00005550144,0.0004401385,0.00004532063,0.0005570566],"category_scores_gemma":[0.00008496222,0.00011105,0.000313448,0.0002561297,0.0002126142,0.00006556494,0.00006996086,0.0008340803,0.00003247766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002411027,"about_ca_system_score_gemma":0.00008997383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003334332,"about_ca_topic_score_gemma":0.0002192537,"domain_scores_codex":[0.9978287,0.0003742948,0.0002107658,0.0003405049,0.0006812877,0.0005644549],"domain_scores_gemma":[0.9987993,0.0006298053,0.00009137101,0.0002648422,0.00003686589,0.0001778275],"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":[0.0009060572,0.0001257046,0.1291331,0.000007810411,0.00004104562,0.00003495369,0.00003390146,0.8576019,0.0026311,0.00007709282,0.0001239669,0.009283366],"study_design_scores_gemma":[0.000229765,0.0009552509,0.3870614,0.000001699591,0.00001058451,0.000006015897,0.00002567144,0.6105577,0.00005605126,0.0006057556,0.0003814268,0.0001086629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979156,0.00007564198,0.0002704427,0.001003618,0.00004827548,0.0001369937,0.00005901734,0.00003874169,0.0004516719],"genre_scores_gemma":[0.9993947,0.00001095716,0.0001814136,0.0001517063,0.0001345567,0.000004726021,0.00004077409,0.000007270004,0.00007394488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2579283,"threshold_uncertainty_score":0.7271021,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029636419","doi":"10.2478/s11600-013-0197-y","title":"On Choosing Effective Elasticity Tensors Using a Monte-Carlo Method","year":2014,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Anisotropy; Monte Carlo method; Maxima and minima; Tensor (intrinsic definition); Elasticity (physics); Symmetry (geometry); Mathematics; Statistical physics; A priori and a posteriori; Mathematical analysis; Physics; Geometry; Statistics; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.01017377470642599,"gpt":0.2840428264382998,"spread":0.2738690517318738,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000135335,0.0002452577,0.0002975315,0.00009517447,0.0001207045,0.00003080209,0.000172578,0.00009993398,0.00000475787],"category_scores_gemma":[0.0001386768,0.0002307711,0.00008117098,0.0001992011,0.00002461086,0.0001267074,0.0000421744,0.0003548179,0.00002078939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002266279,"about_ca_system_score_gemma":0.000007714673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002291773,"about_ca_topic_score_gemma":0.000001525129,"domain_scores_codex":[0.9988836,0.0001034264,0.0001701746,0.0002613267,0.000188047,0.0003934458],"domain_scores_gemma":[0.9987926,0.0006633469,0.00004838697,0.0003456688,0.0000446712,0.0001052894],"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":[0.0002031069,0.0001138924,0.0008247946,0.0006758473,0.0002933175,0.00001487649,0.00170748,0.1901461,0.2359415,0.002744308,0.00180018,0.5655345],"study_design_scores_gemma":[0.0003787214,0.0003123969,0.09340321,0.000307074,0.00006409853,0.000009058102,0.00001729095,0.8183889,0.08069579,0.005119327,0.0007017107,0.0006023748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865781,0.00001067981,0.01098796,0.00001894225,0.0004643264,0.0003081024,0.000003795856,0.0009610993,0.0006669672],"genre_scores_gemma":[0.9725906,0.000002486215,0.02674016,0.0000532438,0.0005072202,0.00003417523,7.135776e-7,0.00006316417,0.000008273219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6282429,"threshold_uncertainty_score":0.9410574,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408387033","doi":"10.1007/s11600-025-01560-2","title":"Spatial variability of sediment grain size across stream orders in the headwater catchment of Omi River Basin, southwestern Nigeria","year":2025,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Drainage basin; Geology; Structural basin; Sediment; Structural geology; Hydrology (agriculture); Grain size; Physical geography; STREAMS; Geomorphology; Geography; Cartography; Paleontology","retraction":null,"screen_n_in":null,"score":{"opus":0.004393857998072525,"gpt":0.2291790400507862,"spread":0.2247851820527136,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004581762,0.0001509345,0.0002612417,0.00001404172,0.0000677063,0.000006216863,0.0003669866,0.00007426742,0.0003502558],"category_scores_gemma":[0.00002459245,0.00010735,0.00007783234,0.0002238819,0.000499851,0.0001042381,0.00009899374,0.00012829,0.00001748269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004071744,"about_ca_system_score_gemma":0.0000279683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006912688,"about_ca_topic_score_gemma":0.001183214,"domain_scores_codex":[0.9987199,0.0001323765,0.0003256963,0.0003040139,0.0002433798,0.0002746799],"domain_scores_gemma":[0.9992692,0.0002169833,0.00009748827,0.000378257,0.00001117119,0.00002691281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000216578,0.001224554,0.9622688,0.00008063143,0.00005993471,0.000003985061,0.01687795,0.0003147084,0.01711866,0.0000431272,0.0002055109,0.001585559],"study_design_scores_gemma":[0.0007229654,0.0001337524,0.9797798,0.00002140324,0.00003037451,2.292948e-7,0.0003701326,0.0000475286,0.01578483,0.001902541,0.001090441,0.0001160025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997653,0.00000337239,0.00009336701,0.001027736,0.00008872566,0.0003012821,0.00003823492,0.000009320797,0.000784974],"genre_scores_gemma":[0.9993289,0.000003992783,0.00006964707,0.0004506797,0.00001193977,0.00003113655,0.00001409109,0.000004903949,0.00008471396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01751099,"threshold_uncertainty_score":0.9997004,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407852444","doi":"10.1007/s11600-025-01549-x","title":"Assessing the influence of biological practices on flood prioritization in LULC","year":2025,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Prioritization; Flood myth; Structural geology; Environmental planning; Geology; Environmental resource management; Geography; Management science; Environmental science; Archaeology; Engineering; Paleontology","retraction":null,"screen_n_in":null,"score":{"opus":0.03144490138217565,"gpt":0.3015149315621484,"spread":0.2700700301799727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001415604,0.00006681513,0.0001009858,0.000009591326,0.00008263897,0.00003551991,0.0001854599,0.00004958818,0.00001929129],"category_scores_gemma":[0.0001326796,0.00002034928,0.00003673368,0.0004236934,0.00005167153,0.0001664865,0.00002207517,0.0001008724,0.00000532615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007420367,"about_ca_system_score_gemma":0.00001036875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002112448,"about_ca_topic_score_gemma":0.00004652943,"domain_scores_codex":[0.9994044,0.00006923197,0.0001472052,0.0001555249,0.0001164379,0.0001072091],"domain_scores_gemma":[0.9993315,0.0004480735,0.000120628,0.00005141709,0.00003424714,0.00001412926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003283526,0.0003577336,0.1181645,0.000007341465,0.000007893511,0.000001887142,0.00009017819,0.00005060282,0.8620493,0.001848156,0.00009189734,0.01729763],"study_design_scores_gemma":[0.00007727876,0.00008188905,0.9924834,0.00004687282,0.000004631499,1.415022e-7,0.0001980381,0.00003579882,0.005279446,0.0004474817,0.001299319,0.00004564443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953719,0.00001429658,3.189518e-7,0.002954416,0.00004405725,0.0001144072,0.000002124103,0.00001953373,0.0014789],"genre_scores_gemma":[0.9993579,0.0000307456,0.000009565219,0.0005054619,0.00003440981,0.000008859081,0.00001239225,2.402358e-7,0.00004038203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8743189,"threshold_uncertainty_score":0.08298197,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392885302","doi":"10.1007/s11600-024-01328-0","title":"Correction: 3-D probability density imaging of Euler solutions using gravity data: a case study of Mount Milligan, Canada","year":2024,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Mount; Euler's formula; Structural geology; Geodesy; Geology; Computer science; Seismology; Mathematics; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.05559524539711504,"gpt":0.253744647409637,"spread":0.198149402012522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003335516,0.0001483534,0.0002576561,0.00004447023,0.0002327809,0.00004050442,0.0002446364,0.0000204085,0.00003175871],"category_scores_gemma":[0.00004990882,0.0001332753,0.00004917852,0.0004336327,0.00007762758,0.0003085913,0.00008041169,0.0001677357,0.000003482025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003474921,"about_ca_system_score_gemma":0.0005264949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.973426,"about_ca_topic_score_gemma":0.9023961,"domain_scores_codex":[0.998489,0.00010193,0.0002875133,0.000417206,0.0004500413,0.0002543065],"domain_scores_gemma":[0.9988481,0.0001507489,0.0001064723,0.0006434601,0.0001680211,0.00008322637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006952827,0.00141334,0.9577239,0.000456822,0.000520635,0.001059955,0.00258526,0.004599313,0.005366013,0.00004582689,0.004628134,0.02153132],"study_design_scores_gemma":[0.0003175468,0.0001756307,0.849278,0.00009325801,0.0003353904,0.0002374469,0.002861558,0.1444123,0.000496511,0.0009772603,0.0004520625,0.0003630484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977422,0.00008642981,0.00002923892,0.0000509383,0.001340989,0.0002966875,0.0003738921,0.00001715035,0.000062434],"genre_scores_gemma":[0.9997265,0.000001429967,0.00007544737,0.00001167946,0.00008909198,8.273686e-7,0.0000770158,0.000004087557,0.00001390874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.139813,"threshold_uncertainty_score":0.5434811,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412962077","doi":"10.1007/s11600-025-01642-1","title":"Selecting the best CMIP6 GCMs for application and downscaling studies over Pakistan, Nepal and Bangladesh","year":2025,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hospital for Sick Children; SickKids Foundation","funders":"Asia-Pacific Network for Global Change Research","keywords":"Downscaling; Climatology; Structural geology; Coupled model intercomparison project; General Circulation Model; Geology; Geography; Climate change; Precipitation; Meteorology; Seismology; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.01476792790604789,"gpt":0.3006822988021318,"spread":0.2859143708960839,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001758025,0.0000824692,0.0001028445,0.000008540416,0.0003305393,0.00003996801,0.00007451267,0.00002873379,0.000005804357],"category_scores_gemma":[0.00003959862,0.00005970625,0.00002311543,0.0001159852,0.0001518402,0.0001037536,0.000160867,0.00006230363,0.000003700678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000395847,"about_ca_system_score_gemma":0.000004274653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003221984,"about_ca_topic_score_gemma":0.0001382746,"domain_scores_codex":[0.9994204,0.00001736863,0.0001045808,0.0002446797,0.00006726243,0.0001457247],"domain_scores_gemma":[0.9994021,0.0003805592,0.00003751926,0.0001502685,0.000008699644,0.00002082214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003035681,0.0007260897,0.08702395,0.0007566834,0.0004551444,0.00000108393,0.0185433,0.001113864,0.6093172,0.04614387,0.005403562,0.2302117],"study_design_scores_gemma":[0.004043464,0.0005970146,0.2357534,0.0002978804,0.000929663,0.000009204026,0.01329003,0.2732232,0.01273046,0.263546,0.1939238,0.00165587],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964921,0.0000897916,0.0006466164,0.001482379,0.00003187438,0.0003685408,0.000007809601,0.00001893759,0.0008618952],"genre_scores_gemma":[0.9989626,0.00006978481,0.0003610453,0.0003165308,0.00003615878,0.00008853184,0.000003331349,0.000004747578,0.0001573041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5965868,"threshold_uncertainty_score":0.2542274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4368347543","doi":"10.1007/s11600-023-01091-8","title":"Site condition investigation using horizontal to vertical spectral ratios of Iran strong motion data","year":2023,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Microtremor; Ground motion; Amplitude; Geology; Geodesy; Motion (physics); Wave velocity; Seismology; Horizontal and vertical; Shear (geology); Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.03726665791631482,"gpt":0.2626202746776914,"spread":0.2253536167613766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005724529,0.0000840721,0.0001264437,0.0001083045,0.00004251249,0.00001822865,0.000121784,0.00003035757,0.00002028989],"category_scores_gemma":[0.00001378522,0.00009086291,0.00003313734,0.0004699386,0.0000198953,0.0004764521,0.00004421896,0.00006875007,0.0001304152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003752289,"about_ca_system_score_gemma":0.00001128484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009012911,"about_ca_topic_score_gemma":0.00001573402,"domain_scores_codex":[0.9993847,0.000009959778,0.0001519644,0.0001446773,0.000147393,0.0001613286],"domain_scores_gemma":[0.9996165,0.00001606423,0.00001606966,0.0002824171,0.00001612739,0.00005283267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005306103,0.00001090787,0.001152371,0.00002836855,0.00004986508,0.000001577665,0.0003944134,0.02739464,0.9684017,0.00007270811,0.0007913488,0.00169676],"study_design_scores_gemma":[0.0001311733,0.00003248729,0.0361228,0.00002539183,0.00005883154,6.580843e-7,0.0001152528,0.9035287,0.05971954,0.00009593656,0.00005679463,0.0001123814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972827,0.000002859252,0.002246257,0.00007999252,0.00009080045,0.00007065177,0.00005804457,0.00009524837,0.00007338419],"genre_scores_gemma":[0.9986585,0.000004965126,0.0001927169,0.00002041078,0.0002133921,0.000002905948,0.0008863882,0.00001351766,0.000007150471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9086822,"threshold_uncertainty_score":0.3705282,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391395205","doi":"10.1007/s11600-023-01279-y","title":"3-D probability density imaging of Euler solutions using gravity data: a case study of Mount Milligan, Canada","year":2024,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Geophysical and Geoelectrical Methods","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":"Hunan University of Science and Technology; Hunan University; National Natural Science Foundation of China","keywords":"Spurious relationship; Euler's formula; Probability density function; Voronoi diagram; Euler angles; Algorithm; Deconvolution; Probability distribution; Synthetic data; Euler method; Computer science; Mathematics; Applied mathematics; Mathematical analysis; Geometry; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.06357914591243789,"gpt":0.2778648257808493,"spread":0.2142856798684113,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003548305,0.0001623933,0.0003478552,0.00004706723,0.000171151,0.00002977604,0.0003153971,0.00002609949,0.00004496087],"category_scores_gemma":[0.0001425313,0.0001282129,0.00006251914,0.0007296826,0.000105768,0.0002603621,0.0001106659,0.0002187492,0.000004036016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002275505,"about_ca_system_score_gemma":0.0004111523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9605451,"about_ca_topic_score_gemma":0.6885813,"domain_scores_codex":[0.9982714,0.0002160553,0.0003251513,0.0004811444,0.0003621227,0.0003441413],"domain_scores_gemma":[0.9984443,0.0006033144,0.00008979494,0.0006324692,0.0001099553,0.0001201387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002972045,0.004922308,0.4093726,0.001898421,0.001214453,0.005354832,0.004535669,0.007878906,0.0220545,0.0006675938,0.002719331,0.5390842],"study_design_scores_gemma":[0.0003264612,0.0003733271,0.7390894,0.00005838986,0.0003953423,0.000240556,0.001229151,0.2491896,0.001037551,0.007032698,0.0005509078,0.0004766244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986684,0.0001525322,0.0001194189,0.0001227306,0.0002764096,0.0002808259,0.0003117746,0.00002312433,0.00004475255],"genre_scores_gemma":[0.9989676,0.000001815694,0.0008685294,0.00002073489,0.00009170192,9.080032e-7,0.00003563428,0.000003873909,0.000009129816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5386075,"threshold_uncertainty_score":0.522837,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2264253421","doi":"10.1515/acgeo-2015-0039","title":"Short-term Tests of Potassium dIdD Vector Magnetometer","year":2015,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","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":"Magnetometer; Term (time); Stability (learning theory); Field (mathematics); Noise (video); Statistics; Mathematics; Geodesy; Magnetic field; Physics; Geology; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.03085680682843069,"gpt":0.2973276196218919,"spread":0.2664708127934612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001078208,0.000207199,0.000346641,0.00006683625,0.00005142597,0.00003734865,0.0004097119,0.00003959812,0.0001722084],"category_scores_gemma":[0.000008408498,0.0001843459,0.0001655704,0.0002736771,0.0001287157,0.0002360547,0.0002053881,0.0002169896,0.0002441756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004779324,"about_ca_system_score_gemma":0.0002330138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001520681,"about_ca_topic_score_gemma":0.00000117959,"domain_scores_codex":[0.9985911,0.00005123129,0.0002469218,0.000299411,0.0003880662,0.0004233066],"domain_scores_gemma":[0.9989032,0.00009426611,0.00008061924,0.000512714,0.0001654273,0.0002438132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002864377,0.002370073,0.2773453,0.0001007663,0.0007290022,0.00001935341,0.003390664,0.00001839394,0.3208609,0.03598632,0.03412168,0.3247711],"study_design_scores_gemma":[0.006346804,0.0008604311,0.7002791,0.000183181,0.0003948718,0.000006710363,0.002444254,0.01118719,0.1543258,0.09404914,0.02665693,0.003265578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696166,0.00001512868,0.0003109242,0.0001278899,0.0001316083,0.0001757725,0.00006894656,0.00003059589,0.02952256],"genre_scores_gemma":[0.9977797,7.690564e-7,0.0000780929,0.00001638521,0.0005157432,0.00002985536,0.00006098167,0.00003381295,0.001484717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4229338,"threshold_uncertainty_score":0.7517406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412365704","doi":"10.1007/s11600-025-01632-3","title":"Seismotectonic implications and strong ground motion modulation of recent significant earthquakes at the North Central Red Sea, Western Saudi Arabia","year":2025,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Structural geology; Seismology; Geology; Ground motion; Motion (physics); Geodesy; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01878269073943391,"gpt":0.2252161584169308,"spread":0.2064334676774969,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008490551,0.0001401737,0.0001876547,0.00004685226,0.0003936306,0.00003576589,0.0001370821,0.0000399029,0.0002299579],"category_scores_gemma":[0.00002739383,0.0001020408,0.00005838115,0.0003183737,0.0001316657,0.0001184856,0.00003506737,0.0001150464,0.0000155156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009397971,"about_ca_system_score_gemma":0.00005142453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002270173,"about_ca_topic_score_gemma":0.01059218,"domain_scores_codex":[0.9989815,0.00007373156,0.0002258444,0.0002787348,0.0001585657,0.00028166],"domain_scores_gemma":[0.9992694,0.000198253,0.0001238046,0.0002911749,0.00006867138,0.00004875075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004379141,0.00003689777,0.8192863,0.00002937252,0.0001007171,5.523697e-7,0.0003028869,0.001046197,0.0006044445,0.0001297602,0.0002631175,0.178156],"study_design_scores_gemma":[0.0001960429,0.00006582249,0.9947091,0.0000134249,0.00004502794,0.000001104666,0.00007019725,0.00229418,0.0001991354,0.0004582863,0.001850719,0.00009698275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936327,0.0003202024,0.00006264367,0.003786785,0.0001092529,0.0003114307,0.00009596859,0.00003009162,0.001650897],"genre_scores_gemma":[0.9987922,0.0005365692,0.00001761357,0.0000914482,0.00004771538,0.000004693858,0.0001564159,0.000003100423,0.0003502654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.178059,"threshold_uncertainty_score":0.5910685,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3029703547","doi":"10.1007/s11600-020-00444-x","title":"A note on the potential impact of aviation emissions on jet stream propagation over the northern hemisphere","year":2020,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Nordion (Canada)","funders":"Narodowe Centrum Nauki; Transport Canada","keywords":"Jet stream; Environmental science; Climatology; Troposphere; Atmospheric sciences; Northern Hemisphere; Aviation; Jet (fluid); Atmosphere (unit); Meteorology; Geology; Geography; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.009077672346909557,"gpt":0.2161149461766911,"spread":0.2070372738297815,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004619523,0.0001279529,0.0001071489,0.00000111406,0.0001841466,0.00003223286,0.000225399,0.00004126379,0.001233113],"category_scores_gemma":[0.00007300911,0.00005910816,0.0001285894,0.0001683596,0.00005234151,0.00007529684,0.00001085491,0.0001758728,0.0001046297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005864477,"about_ca_system_score_gemma":0.00006702229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006486977,"about_ca_topic_score_gemma":0.00004641548,"domain_scores_codex":[0.9992607,0.00004290686,0.0001243128,0.0001722676,0.00025537,0.0001444254],"domain_scores_gemma":[0.9993654,0.0001805967,0.0001363227,0.0002211187,0.00002660357,0.0000699205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00230042,0.000705942,0.1846678,0.0001311108,0.0004779082,0.00002697864,0.006210049,0.09119781,0.5686045,0.0002382621,0.01740735,0.1280319],"study_design_scores_gemma":[0.0005158872,0.0009969245,0.9137787,0.00006666696,0.00006615023,0.000002243807,0.0003928512,0.04292429,0.03956008,0.0008891827,0.0004894821,0.0003175681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937273,0.000005786812,0.00002341637,0.003067015,0.00002969415,0.0001674326,0.00007949262,0.00001946533,0.002880404],"genre_scores_gemma":[0.9992175,0.000004694465,0.00001147704,0.0003404219,0.0002620652,0.000001677353,0.0000823092,0.000003843868,0.00007603247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7291108,"threshold_uncertainty_score":0.9996799,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396954877","doi":"10.1007/s11600-024-01346-y","title":"Illuminating groundwater flow modeling uncertainty through spatial discretization and complexity exploration","year":2024,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Discretization; Groundwater flow; Structural geology; Flow (mathematics); Geology; Groundwater; Hydrology (agriculture); Mathematics; Seismology; Geotechnical engineering; Aquifer; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.03241868899070523,"gpt":0.2456995473572557,"spread":0.2132808583665505,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009003579,0.0001426469,0.0001216456,0.00001838764,0.0002818801,0.0001727982,0.00007761273,0.00003287997,0.0001597772],"category_scores_gemma":[0.00001069973,0.0001178394,0.00003748409,0.0001417242,0.0001420393,0.001175485,0.0001757967,0.00008685842,0.0001356846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008298955,"about_ca_system_score_gemma":0.000004512165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002133597,"about_ca_topic_score_gemma":0.0004181175,"domain_scores_codex":[0.9990339,0.00004163329,0.00016118,0.0003418612,0.0002346276,0.0001867743],"domain_scores_gemma":[0.9997731,0.00003358443,0.00002599094,0.0001223971,0.00001435913,0.00003060015],"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":[0.0000748557,0.0003430178,0.002277809,0.0002358491,0.000183609,0.00002753175,0.07808084,0.03678283,0.03738869,0.01066136,0.001888247,0.8320553],"study_design_scores_gemma":[0.0001393513,0.00005606873,0.002469003,0.00003232597,0.00002790759,0.000002135644,0.0007950819,0.9829835,0.0004142417,0.008955589,0.003909436,0.0002153279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6379001,0.00002608078,0.3592664,0.001197712,0.000172998,0.0001412328,0.0000059278,0.0001005965,0.001188956],"genre_scores_gemma":[0.9978826,0.00002169544,0.001140567,0.0000988885,0.000133501,0.00003626808,0.00007750621,0.00001483999,0.0005941383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9462007,"threshold_uncertainty_score":0.480535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407233251","doi":"10.1007/s11600-025-01540-6","title":"Addressing high-pressure fault rupture limitations in PFC3D: a dynamic weakening approach","year":2025,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structural geology; Geology; Seismology","retraction":null,"screen_n_in":null,"score":{"opus":0.02471376918641009,"gpt":0.2516620748046353,"spread":0.2269483056182252,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004287107,0.0001470256,0.000168834,0.0002207693,0.00008583062,0.00007957859,0.0001679472,0.00008690599,0.0000203455],"category_scores_gemma":[0.00007058511,0.0001571233,0.00004290861,0.000724959,0.00002291056,0.000246237,0.00004094826,0.0002734108,0.00001876604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004031372,"about_ca_system_score_gemma":0.00003817088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001701066,"about_ca_topic_score_gemma":0.00003962408,"domain_scores_codex":[0.9992752,0.00001942086,0.0001829258,0.0001963224,0.0001307261,0.0001953946],"domain_scores_gemma":[0.9995588,0.0001170685,0.00002694014,0.0002037132,0.000059439,0.00003405418],"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":[0.00005476803,0.0006325573,0.0005548001,0.00190866,0.0003906079,0.00001377329,0.004892865,0.7760387,0.04088131,0.02997241,0.01768184,0.1269777],"study_design_scores_gemma":[0.001279421,0.00002034922,0.05442528,0.0003354804,0.00009415265,0.000003140461,0.001177177,0.8780825,0.001560093,0.007658043,0.05473595,0.0006284489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7294545,0.003377357,0.04219813,0.003273592,0.001502036,0.0009345679,0.00007904106,0.002524578,0.2166563],"genre_scores_gemma":[0.996186,0.00004452459,0.001444775,0.0001226169,0.00003107081,0.00005718614,0.00005726019,0.00002039654,0.002036164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2667316,"threshold_uncertainty_score":0.6407304,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226030992","doi":"10.1007/s11600-022-00770-2","title":"The aftershock sequence at a deep nickel mine: temporal and spatial distribution, magnitude distribution, and aftershock decay following major events","year":2022,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vale (Canada)","funders":"National Institute for Occupational Safety and Health; National Key Scientific Instrument and Equipment Development Projects of China","keywords":"Aftershock; Magnitude (astronomy); Structural geology; Geology; Seismology; Sequence (biology); Distribution (mathematics); Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.00853673376484704,"gpt":0.2078199255423212,"spread":0.1992831917774741,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002211897,0.0002098071,0.0002092633,0.00001678977,0.001881952,0.00007823094,0.0002219532,0.00003225572,0.0001800763],"category_scores_gemma":[0.00004468446,0.0001601475,0.00009297197,0.0002073467,0.000160334,0.000162976,0.0002106238,0.0001838147,0.00003200151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002840264,"about_ca_system_score_gemma":0.00004355006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003162315,"about_ca_topic_score_gemma":0.0056337,"domain_scores_codex":[0.9984239,0.0001271254,0.0002224885,0.0003972862,0.0003843319,0.0004448398],"domain_scores_gemma":[0.9992026,0.0002910677,0.0001020512,0.0002395547,0.00003328648,0.0001314567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002148676,0.00004571829,0.9783838,0.00001770232,0.0001502241,0.00004955333,0.0005374138,0.0000162349,0.00009027078,0.00003928169,0.001912042,0.01854288],"study_design_scores_gemma":[0.0005406814,0.0002457994,0.9763229,0.000009148629,0.00006535488,0.00003356813,0.000369217,0.0006914454,0.0000403889,0.0003481498,0.02108716,0.0002462159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954889,0.001587855,0.00003668353,0.001342456,0.0002701995,0.0002422274,0.0008880253,0.00003698613,0.0001066671],"genre_scores_gemma":[0.9982681,0.0001207969,0.00001934857,0.0001302114,0.00008479373,0.00002457157,0.0009946156,0.000005393506,0.0003522197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01917511,"threshold_uncertainty_score":0.9994175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412366883","doi":"10.1007/s11600-025-01628-z","title":"Absolute geomagnetic paleointensities obtained from the Americas’ presumably oldest pottery","year":2025,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Natural Sciences and Engineering Research Council of Canada","keywords":"Structural geology; Earth's magnetic field; Geology; Pottery; Archaeomagnetic dating; Geophysics; Archaeology; Seismology; Geography; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.005763867349041024,"gpt":0.2163308022860021,"spread":0.2105669349369611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007681843,0.0003292032,0.0002940202,0.00003486644,0.000327873,0.00008467252,0.0005289274,0.0001102472,0.00005802754],"category_scores_gemma":[0.0001048846,0.0002545283,0.0001838632,0.0001952691,0.0003795438,0.000008445675,0.0004231837,0.0001656384,0.00007965864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007241617,"about_ca_system_score_gemma":0.00007621828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007857289,"about_ca_topic_score_gemma":0.0002620263,"domain_scores_codex":[0.9984064,0.0001064403,0.0002721267,0.0005648172,0.000171365,0.000478847],"domain_scores_gemma":[0.9986407,0.0001456064,0.0001033625,0.0009284485,0.0001197282,0.00006210901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003796967,0.0002536749,0.01025028,0.0000647872,0.0007159503,0.00003635094,0.0007593671,0.000028664,0.6364546,0.0004572495,0.3237956,0.02680378],"study_design_scores_gemma":[0.0009964474,0.0005807402,0.7639716,0.00006633525,0.0002079585,0.000008995961,0.0007730144,0.00006544,0.007551217,0.00117182,0.2240749,0.0005315588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749823,0.004068357,0.00009093334,0.005575638,0.0004770814,0.0004412069,0.0001233138,0.00005449796,0.01418666],"genre_scores_gemma":[0.9848748,0.000606313,0.0002227365,0.002928403,0.0004961258,0.0001045906,0.0002069662,0.00002444436,0.01053562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7537214,"threshold_uncertainty_score":0.9999907,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}