{"meta":{"query_hash":"05922c49bf18","filters":{"venue":"83rd EAGE Annual Conference & Exhibition"},"cohort_total":14,"direct_labels_cover":0,"predictions_cover":14,"exported":14,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/05922c49bf18","api":"https://metacan.xera.ac/api/v1/cohort?venue=83rd+EAGE+Annual+Conference+%26amp%3B+Exhibition"},"results":[{"id":"W4285128186","doi":"10.3997/2214-4609.202210149","title":"Fast Assessment of the Impact of Multi-Scale Geological Heterogeneities on Flow Behaviour in Complex Carbonate Reservoirs","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Petrobras; Energi Simulation","keywords":"Workflow; Suite; Scale (ratio); Geology; Reservoir simulation; Flow (mathematics); Carbonate; Range (aeronautics); Reservoir modeling; Computer science; Petroleum engineering; Engineering; Database; Cartography","score_opus":0.06800732445333761,"score_gpt":0.3426645123298329,"score_spread":0.2746571878764953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285128186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822808,0.000029310102,0.016330319,0.0000336891,0.00013044549,0.0002471892,0.0004678936,0.00007153648,0.00040885207],"genre_scores_gemma":[0.9926237,0.000009274073,0.006962761,0.0000081742155,0.000021884489,0.000055252964,0.00017785771,0.000021925145,0.00011917821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836004,0.0003408231,0.00045380447,0.00020703915,0.0003794697,0.000258844],"domain_scores_gemma":[0.9992442,0.00010526274,0.00009403175,0.0003778858,0.00012199011,0.000056616118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004881187,0.00019884015,0.00033060677,0.00017432122,0.00007985944,0.000019038427,0.00027874534,0.00008449168,0.00031578107],"category_scores_gemma":[0.000049661878,0.00016343268,0.00018042284,0.00029061682,0.00007309799,0.000103946164,0.0001295058,0.0004336702,0.0000016130093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025481198,0.00010835219,0.033599183,0.000033739765,0.00001611789,0.0000018154385,0.0011698641,0.9551948,0.009560996,0.000038897015,0.00010834892,0.00014240465],"study_design_scores_gemma":[0.0005702793,0.00015152535,0.38378733,0.000038406633,0.000007210025,0.000003216113,0.00028323068,0.6139047,0.0009140307,0.00009000358,0.00009143334,0.00015858121],"about_ca_topic_score_codex":0.00034843944,"about_ca_topic_score_gemma":0.00020239818,"teacher_disagreement_score":0.35018817,"about_ca_system_score_codex":0.0001677089,"about_ca_system_score_gemma":0.000043383225,"threshold_uncertainty_score":0.66645914},"labels":[],"label_agreement":null},{"id":"W4285134044","doi":"10.3997/2214-4609.202210525","title":"Interferometric, Target-Enclosing Waveform Inversion: a Comparison of Approaches","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology; Memorial University of Newfoundland","funders":"","keywords":"Interferometry; Inversion (geology); Convolution (computer science); Waveform; Algorithm; Kinematics; Computer science; Inverse problem; Geology; Mathematics; Optics; Artificial intelligence; Mathematical analysis; Physics; Seismology; Telecommunications","score_opus":0.09258205410574319,"score_gpt":0.26653205447814066,"score_spread":0.17395000037239747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285134044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628981,0.0004935528,0.017756144,0.00089955766,0.00060735666,0.0003384788,0.00049405335,0.00025297343,0.016259791],"genre_scores_gemma":[0.9929496,0.000015071273,0.0045496523,0.00048602896,0.000069339774,0.000005787529,0.0011930917,0.0000065208055,0.00072490756],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980295,0.00021059434,0.0004575749,0.00038767458,0.0005797972,0.00033489874],"domain_scores_gemma":[0.99906474,0.00010620328,0.00028512557,0.00028777836,0.0001389224,0.000117210984],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00062266225,0.00020019495,0.00033668644,0.0004893805,0.00044582988,0.0000690121,0.00038255492,0.000077170465,0.007843155],"category_scores_gemma":[0.00009335749,0.00019240764,0.00011521269,0.00071856217,0.0001738399,0.00058068574,0.0001045961,0.00044518037,0.0001471083],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007619824,0.000794717,0.21427755,0.00035499773,0.00011827235,0.000023396085,0.04324759,0.0028301568,0.0021136194,0.0011777206,0.29355082,0.44074917],"study_design_scores_gemma":[0.0019882692,0.0031649398,0.019962722,0.00036772466,0.0001372992,0.00013237518,0.053931493,0.1575831,0.043818895,0.01760152,0.6991204,0.002191266],"about_ca_topic_score_codex":0.0021877587,"about_ca_topic_score_gemma":0.00006948592,"teacher_disagreement_score":0.43855792,"about_ca_system_score_codex":0.000033879685,"about_ca_system_score_gemma":0.000083056635,"threshold_uncertainty_score":0.9930638},"labels":[],"label_agreement":null},{"id":"W4285156347","doi":"10.3997/2214-4609.202210838","title":"Neural Estimation of Seismic Local Slopes","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Plane wave; Seismic wave; Discretization; Plane (geometry); Artificial neural network; Finite difference method; Finite difference; Geology; Mathematical analysis; Geometry; Mathematics; Computer science; Seismology; Physics; Optics; Artificial intelligence","score_opus":0.024125705745183128,"score_gpt":0.24032617402806905,"score_spread":0.21620046828288592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285156347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86218005,0.000149945,0.13121931,0.0014197693,0.00045007447,0.00023096363,0.0005556703,0.00024352029,0.0035506813],"genre_scores_gemma":[0.99406785,0.0000148599875,0.0022674557,0.0014933005,0.000047469384,0.000005412552,0.0012999244,0.000004920564,0.0007988237],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985612,0.00019358644,0.00030682178,0.00028067152,0.0004105821,0.00024716317],"domain_scores_gemma":[0.9993501,0.000071773036,0.00016603636,0.00021553079,0.00011996978,0.00007659501],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003867661,0.00014686912,0.00018716005,0.00017119713,0.0002992739,0.00004440023,0.00023446824,0.000041848074,0.0049412493],"category_scores_gemma":[0.000050133156,0.00014575245,0.000072372735,0.00025781622,0.00016713877,0.0005155161,0.00004092743,0.00026585723,0.000180365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019283383,0.0000930058,0.0058929604,0.000071876275,0.000017829718,0.00001485893,0.0045669554,0.09093162,0.00039147615,0.0003032985,0.07626988,0.8212534],"study_design_scores_gemma":[0.00068654853,0.0006523371,0.011987285,0.000082023995,0.000045074485,0.00013303642,0.0036817505,0.73497057,0.004059687,0.009781721,0.23322745,0.0006925158],"about_ca_topic_score_codex":0.0052960864,"about_ca_topic_score_gemma":0.000109249515,"teacher_disagreement_score":0.8205609,"about_ca_system_score_codex":0.000015168974,"about_ca_system_score_gemma":0.00007546877,"threshold_uncertainty_score":0.99596834},"labels":[],"label_agreement":null},{"id":"W4285158648","doi":"10.3997/2214-4609.202210812","title":"Learning to Unflood the Salt in Full-Waveform Inversion, Application on Vintage GOM Data","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Vintage; Inversion (geology); Workflow; Computer science; Waveform; Artificial neural network; Salt (chemistry); Geology; Artificial intelligence; Database; Seismology; Telecommunications; Geography","score_opus":0.037174979041383505,"score_gpt":0.2587337393131801,"score_spread":0.2215587602717966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285158648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97460306,0.000045855908,0.008044706,0.008797264,0.00034375986,0.00070486404,0.0005274539,0.00029163493,0.0066413926],"genre_scores_gemma":[0.9882314,0.00003070879,0.00049546926,0.006409486,0.00010253109,0.00001946085,0.0038383335,0.0000071447016,0.0008654651],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99806243,0.0002850826,0.0002903815,0.0005459222,0.00048674925,0.00032944916],"domain_scores_gemma":[0.9988954,0.00013548296,0.00013131586,0.00065718684,0.000077829725,0.00010278773],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011157406,0.00017324425,0.00015836893,0.00022403536,0.0006226428,0.0001052322,0.00075961894,0.000058830603,0.002172981],"category_scores_gemma":[0.00015485832,0.00014377211,0.00003646358,0.000512087,0.00006950834,0.00050170685,0.00019842424,0.00063593755,0.0011221303],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080900604,0.0002723409,0.030959796,0.00006264119,0.000029176466,0.000029864224,0.02388249,0.013257469,0.0030552617,0.0011569246,0.28588554,0.6405995],"study_design_scores_gemma":[0.00043242777,0.00069302024,0.011478589,0.00006770316,0.000015710664,0.000025331867,0.0076202084,0.04324622,0.00061830925,0.0026624387,0.93266577,0.00047429197],"about_ca_topic_score_codex":0.006712927,"about_ca_topic_score_gemma":0.0015118119,"teacher_disagreement_score":0.6467802,"about_ca_system_score_codex":0.000041043593,"about_ca_system_score_gemma":0.000079541416,"threshold_uncertainty_score":0.9999015},"labels":[],"label_agreement":null},{"id":"W4285163143","doi":"10.3997/2214-4609.202210843","title":"Deep Null Space Regularization for Seismic Inverse Problems","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Regularization (linguistics); Inverse problem; Deconvolution; Singular value decomposition; Algorithm; Iterative reconstruction; Computer science; Inversion (geology); Synthetic data; Mathematical optimization; Applied mathematics; Mathematics; Artificial intelligence; Mathematical analysis","score_opus":0.027860917502840272,"score_gpt":0.23123836507565287,"score_spread":0.2033774475728126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285163143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26180288,0.00029944343,0.709379,0.011547874,0.0016254615,0.0021475418,0.0014614026,0.00112489,0.010611486],"genre_scores_gemma":[0.97362596,0.00004475164,0.0077581927,0.0049257157,0.00016945657,0.00005214278,0.0050619813,0.000014005863,0.008347792],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982894,0.00018641047,0.00029251783,0.00046060036,0.0003838392,0.00038721578],"domain_scores_gemma":[0.9991012,0.000079826095,0.00019074226,0.00028996426,0.00021966455,0.00011856743],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005819643,0.00020249939,0.00019794135,0.00020529928,0.0006612586,0.00012132039,0.00026978442,0.000086887994,0.003934643],"category_scores_gemma":[0.00009675853,0.00021107869,0.00009705,0.0003233062,0.000105352105,0.0006283783,0.000042064636,0.0002691074,0.00024007731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005015368,0.00024785192,0.00836469,0.00030025782,0.00006329028,0.00001724783,0.019123726,0.04950901,0.002626633,0.0029251443,0.80282617,0.113494426],"study_design_scores_gemma":[0.0005683786,0.00034959952,0.00059187564,0.000043567266,0.000029885176,0.00003603905,0.0016866981,0.17759448,0.0009678093,0.02327152,0.79440945,0.00045069458],"about_ca_topic_score_codex":0.0018872998,"about_ca_topic_score_gemma":0.00037215097,"teacher_disagreement_score":0.7118231,"about_ca_system_score_codex":0.00003154745,"about_ca_system_score_gemma":0.00010544885,"threshold_uncertainty_score":0.9969759},"labels":[],"label_agreement":null},{"id":"W4285167868","doi":"10.3997/2214-4609.202210708","title":"Full Waveform Inversion of Electric Conductivity with Radio-Frequency Electromagnetic Waves","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Electromagnetic Effects on Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Waveform; Acoustics; Inversion (geology); Extremely low frequency; Radio frequency; Conductivity; Electromagnetic radiation; Physics; Electrical resistivity and conductivity; High frequency; Electrical engineering; Computer science; Geology; Geophysics; Electromagnetic field; Telecommunications; Optics; Engineering; Seismology; Voltage; Ionosphere","score_opus":0.011543984831136521,"score_gpt":0.20902225441129682,"score_spread":0.1974782695801603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285167868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99453944,0.00031635712,0.0018965614,0.00012051292,0.00022864068,0.000625428,0.00008892298,0.00036548576,0.0018186782],"genre_scores_gemma":[0.99715936,0.0000828612,0.0017760546,0.000043922704,0.00009314035,0.00014048083,0.00028954863,0.0000656717,0.00034894288],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99754524,0.000297441,0.00047352043,0.00044418636,0.00057785027,0.0006617817],"domain_scores_gemma":[0.9988669,0.00010941841,0.00018226622,0.00048605894,0.0002234883,0.00013186077],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047978817,0.00038447304,0.00050867215,0.00035629532,0.000210847,0.000058310867,0.00031484754,0.00012186042,0.0016667768],"category_scores_gemma":[0.000068967405,0.00038622052,0.000088013134,0.00072915026,0.00010355425,0.0004938004,0.00007317401,0.0005041264,0.00007225514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002027501,0.00009976714,0.000058259484,0.00019948084,0.000040613602,0.000015573032,0.001017943,0.00031882385,0.9946282,0.000836444,0.0009554531,0.0016266768],"study_design_scores_gemma":[0.0041279364,0.019163666,0.0037625271,0.0002518033,0.00032703922,0.0007454565,0.00058573403,0.004574063,0.94406396,0.01619881,0.0037601858,0.0024387906],"about_ca_topic_score_codex":0.00014351042,"about_ca_topic_score_gemma":0.00011374156,"teacher_disagreement_score":0.05056423,"about_ca_system_score_codex":0.00028680556,"about_ca_system_score_gemma":0.00014338848,"threshold_uncertainty_score":0.999859},"labels":[],"label_agreement":null},{"id":"W4285175717","doi":"10.3997/2214-4609.202210478","title":"Soil Dynamic Response for Seismic Microzonation Purposes: Rancagua-MachalÍ and Rengo Cities, Chile.","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geology; Foothills; Microtremor; Volcano; Alluvium; Seismology; Structural basin; Fluvial; Geomorphology","score_opus":0.018412871687588518,"score_gpt":0.23528229435649486,"score_spread":0.21686942266890635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285175717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829801,0.00074474997,0.007929894,0.0025752638,0.0003149248,0.00044255212,0.004627353,0.00008901977,0.00029616893],"genre_scores_gemma":[0.98723793,0.000202594,0.00056364917,0.001214473,0.000122022706,0.000032159103,0.005924096,0.000012160168,0.004690908],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99786454,0.00037310875,0.00039781173,0.00056971394,0.000372783,0.00042202178],"domain_scores_gemma":[0.99890727,0.0003117639,0.0002092393,0.00027199654,0.00015925763,0.00014047472],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00097409374,0.00025238728,0.00030752455,0.00029290054,0.00082785805,0.00018114169,0.0002257775,0.00009362121,0.0018676427],"category_scores_gemma":[0.00013916506,0.00025727635,0.000137863,0.00032975676,0.00012685447,0.00045227417,0.000045614914,0.00026819736,0.00006864857],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020440442,0.0009392763,0.025622563,0.0010464381,0.0010201043,0.00019111959,0.072132476,0.09104827,0.03405473,0.002767905,0.088875264,0.6618614],"study_design_scores_gemma":[0.004299488,0.0016266714,0.10038542,0.00016411598,0.00032926298,0.00027345424,0.016675888,0.19758232,0.00032087485,0.024483042,0.65182626,0.002033196],"about_ca_topic_score_codex":0.0017742185,"about_ca_topic_score_gemma":0.0023616636,"teacher_disagreement_score":0.65982825,"about_ca_system_score_codex":0.000032922304,"about_ca_system_score_gemma":0.0001501083,"threshold_uncertainty_score":0.99998796},"labels":[],"label_agreement":null},{"id":"W4285181420","doi":"10.3997/2214-4609.202210543","title":"Combined Burial and Rock Physics Modelling to Determine Complex Velocity and Avo Depth Trends Offshore Canada","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Submarine pipeline; Geology; Seismology; Petroleum engineering; Geotechnical engineering","score_opus":0.06055379684929665,"score_gpt":0.2363712559165393,"score_spread":0.17581745906724264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285181420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98700714,0.00006002228,0.010037522,0.0006652785,0.00012409253,0.00012457183,0.0009028592,0.0000340009,0.0010445078],"genre_scores_gemma":[0.99646807,0.000017710188,0.00091782084,0.0005298788,0.00008290508,0.0000061789674,0.0017077598,0.0000029105338,0.0002667763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988836,0.00007904342,0.00022215648,0.0002740036,0.00027946304,0.0002617551],"domain_scores_gemma":[0.99944556,0.000081339276,0.00007639535,0.000109133274,0.00011268022,0.00017488292],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014668854,0.00015667778,0.00019948356,0.000056866917,0.00060962245,0.00010166358,0.00012054706,0.00003873622,0.0017814827],"category_scores_gemma":[0.000024612262,0.00014419235,0.000021132964,0.00024333993,0.000033389915,0.00028101492,0.00005612065,0.00017712779,0.000012217295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012272717,0.00020617638,0.13454424,0.00028216242,0.000073897616,0.00005056258,0.0148505755,0.46882734,0.00017355857,0.0018197696,0.0248141,0.35313037],"study_design_scores_gemma":[0.0016267805,0.0012760555,0.2920964,0.000046969304,0.000064681415,0.00007583113,0.0024407774,0.5782588,0.000099863064,0.0103671765,0.11245111,0.0011955105],"about_ca_topic_score_codex":0.0931063,"about_ca_topic_score_gemma":0.38692123,"teacher_disagreement_score":0.35193485,"about_ca_system_score_codex":0.00001032501,"about_ca_system_score_gemma":0.00010399219,"threshold_uncertainty_score":0.999131},"labels":[],"label_agreement":null},{"id":"W4285188473","doi":"10.3997/2214-4609.202210918","title":"Centralized Gis Digital Platform for High Efficiency Maintenance, Risk Control and Mitigation of Operated Assets.","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Asset (computer security); Situation awareness; Real-time computing; Computer security; Engineering","score_opus":0.009264628677048373,"score_gpt":0.20463199279986533,"score_spread":0.19536736412281697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285188473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8806575,0.000118682954,0.11556702,0.000071947296,0.00023716198,0.00039161276,0.002339163,0.0004914516,0.00012545446],"genre_scores_gemma":[0.99793875,0.00006472124,0.0010391445,0.000009617228,0.000026978321,0.00012550551,0.00065951096,0.000026530917,0.00010922969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998959,0.000016176964,0.00031640287,0.00022404095,0.00017952388,0.00030487255],"domain_scores_gemma":[0.9994389,0.00009903507,0.000083132196,0.00017429276,0.00015327481,0.00005137297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017933323,0.00019053806,0.0002682917,0.00014659522,0.00014355469,0.00007612471,0.00013367445,0.000072090865,0.000045609555],"category_scores_gemma":[0.00019046472,0.0001945227,0.00005716278,0.00020867446,0.00007676745,0.0003609013,0.000040547122,0.00023952345,0.00000464319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017496102,0.0012097686,0.010465345,0.002097974,0.0011534768,0.0000665572,0.013478699,0.472358,0.16294354,0.12398784,0.040846046,0.16964315],"study_design_scores_gemma":[0.04246158,0.0056942673,0.0472447,0.0012900622,0.0008549982,0.00033222482,0.012055167,0.559543,0.10197324,0.051893897,0.16919571,0.00746115],"about_ca_topic_score_codex":0.000026854126,"about_ca_topic_score_gemma":0.000013342525,"teacher_disagreement_score":0.162182,"about_ca_system_score_codex":0.00006570513,"about_ca_system_score_gemma":0.00002243045,"threshold_uncertainty_score":0.79324055},"labels":[],"label_agreement":null},{"id":"W4285208947","doi":"10.3997/2214-4609.202210382","title":"Coherent Noise Suppression Via a Self-Supervised Deep Learning Scheme","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Noise (video); Computer science; Noise reduction; Artificial intelligence; Noise measurement; Artificial neural network; Synthetic data; TRACE (psycholinguistics); Deep learning; Pattern recognition (psychology)","score_opus":0.020008479414257915,"score_gpt":0.23107831207170337,"score_spread":0.21106983265744544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285208947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97487205,0.00033979054,0.015656276,0.00096674927,0.00064797536,0.000459031,0.00018198596,0.0010057009,0.0058704494],"genre_scores_gemma":[0.98925585,0.00006729717,0.005755712,0.0013874565,0.0001307393,0.000021219224,0.0019473303,0.000011923417,0.0014224856],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99760586,0.00043400296,0.00034535053,0.00052238983,0.0006214548,0.00047095015],"domain_scores_gemma":[0.9990724,0.00009247735,0.0001684696,0.00030540314,0.00017444197,0.00018684557],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055780937,0.0002565772,0.00024952687,0.00019861928,0.00090465223,0.00013649497,0.0003533072,0.00009548279,0.019235378],"category_scores_gemma":[0.000069349066,0.0002499681,0.00011260924,0.00031368478,0.000077721685,0.000614789,0.00009774604,0.00069276866,0.00074871746],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009403836,0.0007552062,0.14285947,0.00028847103,0.00012940844,0.00014374369,0.04348325,0.0037744797,0.026413288,0.00023697296,0.16759989,0.6133754],"study_design_scores_gemma":[0.0013779192,0.00085401605,0.012183797,0.0001291237,0.000058481608,0.00013653851,0.0053416747,0.21171623,0.0036446396,0.0023570855,0.7609975,0.0012030075],"about_ca_topic_score_codex":0.0021273294,"about_ca_topic_score_gemma":0.00012539735,"teacher_disagreement_score":0.6121724,"about_ca_system_score_codex":0.000032805114,"about_ca_system_score_gemma":0.000075910146,"threshold_uncertainty_score":0.99999523},"labels":[],"label_agreement":null},{"id":"W4285239303","doi":"10.3997/2214-4609.202210207","title":"Separation and Shot Interpolation of Simultaneous-Source Data with Interpolated Mssa (I-Mssa)","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Interpolation (computer graphics); Computer science; Algorithm; Projection (relational algebra); Grid; Source separation; Nearest-neighbor interpolation; Artificial intelligence; Mathematics; Linear interpolation; Pattern recognition (psychology); Image (mathematics); Geometry","score_opus":0.0422617226048572,"score_gpt":0.2756290604727935,"score_spread":0.23336733786793631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285239303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95171374,0.00013647896,0.04383928,0.00048433692,0.00014851797,0.00029516313,0.0010450592,0.00018461166,0.0021527924],"genre_scores_gemma":[0.9916272,0.000025819265,0.0020252208,0.0005546989,0.00004075857,0.000002735302,0.0050073992,0.0000065730187,0.00070959533],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985376,0.0001978687,0.00030119185,0.00041521844,0.0003474327,0.00020066585],"domain_scores_gemma":[0.9989975,0.00015692729,0.00021890753,0.00039206736,0.00015811277,0.00007647573],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043917453,0.00016367709,0.00019481171,0.00017676178,0.000258459,0.000083824605,0.00030440828,0.000056986788,0.0018857615],"category_scores_gemma":[0.00008656815,0.00014930569,0.00002352263,0.0002474919,0.00015049777,0.0007811446,0.000102600585,0.00026863726,0.000030897525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053435625,0.0005901489,0.15515795,0.0004417452,0.0002892184,0.000086628075,0.062249787,0.012640502,0.026470669,0.0005672482,0.17487454,0.561288],"study_design_scores_gemma":[0.00097117946,0.0015085404,0.004121501,0.000225031,0.00008809387,0.00021476459,0.0064120353,0.76178885,0.0019583835,0.0010331155,0.22092253,0.00075599476],"about_ca_topic_score_codex":0.0031423564,"about_ca_topic_score_gemma":0.0006505225,"teacher_disagreement_score":0.7491483,"about_ca_system_score_codex":0.000011076402,"about_ca_system_score_gemma":0.00006520588,"threshold_uncertainty_score":0.99902666},"labels":[],"label_agreement":null},{"id":"W4285252638","doi":"10.3997/2214-4609.202211028","title":"Seismic Attenuation Compensation with Spectral-Shaping Regularization","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Attenuation; Seismic wave; Computer science; Bandwidth (computing); Acoustics; Seismic inversion; Compensation (psychology); Inversion (geology); Amplitude; Anelastic attenuation factor; Frequency compensation; Energy (signal processing); Geology; Seismology; Physics; Optics; Telecommunications; Azimuth","score_opus":0.03620973980623075,"score_gpt":0.23487645101405114,"score_spread":0.1986667112078204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285252638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85229594,0.00006337954,0.13829224,0.0035537886,0.00032810817,0.00044552947,0.00024723884,0.0004449215,0.0043288493],"genre_scores_gemma":[0.9885657,0.000017225499,0.0031501497,0.0018981169,0.00012416746,0.000010866243,0.004600009,0.000009092178,0.0016246882],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821997,0.00024738724,0.0002773084,0.00041000033,0.00055163924,0.000293676],"domain_scores_gemma":[0.99919677,0.000051963223,0.00021756765,0.00024955612,0.00020379547,0.00008034163],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049561326,0.0001843369,0.00017126856,0.00022561473,0.0006863746,0.00014015567,0.00018900257,0.000057468536,0.0038189087],"category_scores_gemma":[0.000036559515,0.00018045261,0.000047393136,0.00040918074,0.00009459963,0.00080968835,0.000024496483,0.0003027675,0.00024757074],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018782858,0.00055593497,0.23027837,0.0003129913,0.00018671351,0.00008967473,0.04209978,0.14455839,0.012834015,0.007199438,0.23587613,0.3241303],"study_design_scores_gemma":[0.0026870407,0.0018325807,0.16302244,0.00036044614,0.00016145404,0.00046487342,0.008052102,0.37925044,0.007625173,0.03634342,0.3978192,0.0023808412],"about_ca_topic_score_codex":0.0019955547,"about_ca_topic_score_gemma":0.0002369198,"teacher_disagreement_score":0.32174945,"about_ca_system_score_codex":0.00004298133,"about_ca_system_score_gemma":0.000100941405,"threshold_uncertainty_score":0.9970917},"labels":[],"label_agreement":null},{"id":"W4285289215","doi":"10.3997/2214-4609.202210294","title":"Inversion of Airborne Data for Three-Dimensional Conductivity, Chargeability, and Magnetic Properties Models in Wawa, Ontario, Canada.","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inversion (geology); Geology; Magnetic survey; Magnetization; Conductivity; Geophysics; Magnetic anomaly; Remanence; Drilling; Remote sensing; Mineralogy; Magnetic field; Seismology; Materials science; Physics","score_opus":0.08712226422147981,"score_gpt":0.24451149568738464,"score_spread":0.15738923146590483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285289215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961342,0.0002752681,0.00048511504,0.0009221107,0.00014176086,0.00045653564,0.0014697623,0.000011881384,0.000103371305],"genre_scores_gemma":[0.997094,0.0000032272528,0.0010224916,0.00018322561,0.00003093985,0.000012259577,0.0012359424,0.000003258739,0.00041469734],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983346,0.00020401766,0.00028454262,0.0004807942,0.00039903805,0.00029699455],"domain_scores_gemma":[0.99915695,0.00020796756,0.00009106469,0.00030516324,0.00013236888,0.000106494066],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005635606,0.0001504552,0.00028410225,0.000072093106,0.0001915329,0.000023464425,0.00026671332,0.00004884181,0.0014302153],"category_scores_gemma":[0.00012486712,0.00013039682,0.000028583618,0.00021308822,0.00011456441,0.00046127048,0.00016331456,0.00026728996,0.000003977875],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050875335,0.0018196712,0.15581456,0.0012140542,0.00011596758,0.00004798272,0.010034441,0.048816476,0.008840412,0.0032423548,0.026471142,0.7384954],"study_design_scores_gemma":[0.0020996355,0.0021439162,0.5264335,0.00011837644,0.000075085896,0.00002810216,0.00052747654,0.3271917,0.0006142898,0.12312055,0.016645866,0.0010014384],"about_ca_topic_score_codex":0.89860827,"about_ca_topic_score_gemma":0.98420197,"teacher_disagreement_score":0.737494,"about_ca_system_score_codex":0.000030718973,"about_ca_system_score_gemma":0.0006144353,"threshold_uncertainty_score":0.99948263},"labels":[],"label_agreement":null},{"id":"W4285301481","doi":"10.3997/2214-4609.202210122","title":"Real-Time Imaging of the Pore Structure Changes in Permafrost Induced by Thawing","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Permafrost; Materials science; Porosity; Macropore; Grain size; Mineralogy; Porous medium; Morphology (biology); Composite material; Geology; Chemistry","score_opus":0.029861486903535437,"score_gpt":0.2446589230712622,"score_spread":0.21479743616772676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285301481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581882,0.00012174024,0.0000035484682,0.001305603,0.00030374562,0.00024985708,0.038392078,0.000030296347,0.0014049554],"genre_scores_gemma":[0.9805119,0.000047411995,0.000023408293,0.00045740555,0.000116135685,0.0000053886765,0.018550035,0.000008564557,0.00027975623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834377,0.000213134,0.00027762522,0.00034493484,0.00043743665,0.00038310798],"domain_scores_gemma":[0.9992681,0.00008760534,0.00018786376,0.00029503234,0.00008683274,0.00007458012],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031902498,0.00020140782,0.00024115242,0.00012858455,0.0003489016,0.00007122626,0.00034892038,0.0000691195,0.019758739],"category_scores_gemma":[0.000032682834,0.00016554829,0.000063855856,0.00041266216,0.00009108521,0.00032268034,0.000093451046,0.00038599872,0.000037465157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015602288,0.00008142516,0.5426806,0.00008416497,0.000014584393,0.00002814294,0.029884536,0.00016956928,0.40810597,0.00005539967,0.011123816,0.0076157367],"study_design_scores_gemma":[0.0015070898,0.0003503643,0.94605505,0.00029336222,0.000057053287,0.00018851642,0.017823929,0.002132603,0.007097518,0.0029039867,0.020377913,0.0012126339],"about_ca_topic_score_codex":0.006345146,"about_ca_topic_score_gemma":0.030671382,"teacher_disagreement_score":0.40337437,"about_ca_system_score_codex":0.000020894264,"about_ca_system_score_gemma":0.0000692378,"threshold_uncertainty_score":0.9870163},"labels":[],"label_agreement":null}]}