{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":13,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":13,"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":"19e04733ff1b","filters":{"venue":"22nd AIAA Computational Fluid Dynamics Conference"}},"results":[{"id":"W2317854211","doi":"10.2514/6.2015-2613","title":"Anisotropic Non-Uniform Block-Based Adaptive Mesh Refinement for Three-Dimensional Inviscid and Viscous Flows","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Canadian Space Agency; University of Toronto; Compute Canada","keywords":"Inviscid flow; Adaptive mesh refinement; Anisotropy; Block (permutation group theory); Computer science; Mesh generation; Mathematical optimization; Mathematics; Computational science; Geometry; Mechanics; Physics; Finite element method; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.01845689807927597,"gpt":0.2258212311267993,"spread":0.2073643330475233,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000255155,0.0004564809,0.0004175856,0.0002269204,0.0002045473,0.0001588464,0.0002761057,0.0001433554,0.00001364641],"category_scores_gemma":[0.00004280803,0.0004867267,0.0001134992,0.0002540217,0.0001213833,0.0001942574,0.0001260127,0.0002230927,0.00001944801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004480171,"about_ca_system_score_gemma":0.000616942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000480104,"about_ca_topic_score_gemma":0.001028287,"domain_scores_codex":[0.997817,0.00002408809,0.0005732692,0.0005238702,0.0006053532,0.0004563527],"domain_scores_gemma":[0.9982198,0.0003245919,0.00008872921,0.0002321128,0.0008123912,0.0003223577],"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":[0.00006913416,0.00006381718,0.0001613042,0.00004745823,0.0000764361,0.000007327314,0.00006242415,0.9122741,0.0001606517,0.08398999,0.0003568629,0.002730477],"study_design_scores_gemma":[0.001801519,0.0002950753,0.002385982,0.00006902086,0.00004082798,0.00001997552,0.00004194561,0.9678581,0.000007744953,0.02684408,0.0001001833,0.0005355173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3012493,0.00007497764,0.6964111,0.0003764158,0.0003862372,0.000518668,0.0004401895,0.0001600056,0.0003831478],"genre_scores_gemma":[0.8971033,0.000005552288,0.1012627,0.0001776681,0.00009850899,0.00003832114,0.001186133,0.00006424607,0.00006365004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.595854,"threshold_uncertainty_score":0.9997584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4243829393","doi":"10.2514/6.2015-3061","title":"Aerodynamic Shape Optimization for Natural Laminar Flow Using a Discrete-Adjoint Approach","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Aerodynamics; Laminar flow; Computer science; Flow (mathematics); Aerospace engineering; Mechanics; Mathematical optimization; Mathematics; Physics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02468122447581025,"gpt":0.2401293495944817,"spread":0.2154481251186715,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003655436,0.0005570044,0.0005083976,0.0003013433,0.000230877,0.0003072497,0.0004589605,0.0001880011,0.00002455494],"category_scores_gemma":[0.0001055554,0.0006134607,0.000205789,0.0004963744,0.0001346975,0.0004757312,0.000140933,0.0003193191,0.00001275277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008940022,"about_ca_system_score_gemma":0.0003913312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002123823,"about_ca_topic_score_gemma":0.00004926902,"domain_scores_codex":[0.9973042,0.000064418,0.0007390584,0.0006460868,0.0006504621,0.0005957523],"domain_scores_gemma":[0.9980654,0.0002365259,0.0001222977,0.0002995337,0.0009869711,0.0002892726],"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":[0.00004333244,0.00006475061,0.00005698044,0.00009549493,0.00008454901,0.00000378438,0.0002100102,0.950258,0.0001150552,0.04558197,0.00009322017,0.003392881],"study_design_scores_gemma":[0.001138082,0.00007797937,0.0003691604,0.0000586287,0.00005528839,0.00006024495,0.0001935423,0.9884899,0.00000181382,0.008806866,0.00002258445,0.0007259226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1876042,0.0001503734,0.8093742,0.0001061083,0.0008856892,0.0006168968,0.0004628183,0.0003543007,0.0004453636],"genre_scores_gemma":[0.643828,0.00001091025,0.3517976,0.00005223993,0.0001208031,0.00002351332,0.004016526,0.00008541173,0.00006508613],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4575767,"threshold_uncertainty_score":0.9996317,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2322629235","doi":"10.2514/6.2015-2747","title":"Accuracy of Discretization Error Estimation by the Error Transport Equation on Unstructured Meshes - Nonlinear Systems of Equations","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Discretization; Linearization; Residual; Mathematics; Applied mathematics; Discretization of continuous features; Nonlinear system; Scalar (mathematics); Approximation error; Backward Euler method; Discretization error; Mathematical optimization; Mathematical analysis; Algorithm; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.05518685945990296,"gpt":0.3147389584186086,"spread":0.2595520989587056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003661856,0.0002375668,0.0003449044,0.0001254599,0.00007354839,0.00002866699,0.0002900714,0.00009581359,0.000009583831],"category_scores_gemma":[0.0008454805,0.000201698,0.00006900772,0.0004525036,0.0001669582,0.0002479307,0.00002229179,0.0001654455,0.000006054134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665405,"about_ca_system_score_gemma":0.0001705235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001752695,"about_ca_topic_score_gemma":0.000004586167,"domain_scores_codex":[0.9979085,0.0001252824,0.0008468071,0.000214175,0.0007431655,0.0001620987],"domain_scores_gemma":[0.9965877,0.00199045,0.0003638144,0.0002392502,0.0007364348,0.00008233277],"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":[0.00001916646,0.0000441578,0.00004376709,0.0001084315,0.00003590236,2.162046e-7,0.0004587322,0.843483,0.0002275738,0.1510215,0.00002937432,0.004528183],"study_design_scores_gemma":[0.0003323026,0.0000781278,0.000278042,0.0001141555,0.00003566777,0.000003404984,0.0002758672,0.9246903,0.0002969957,0.07370692,0.00001203694,0.0001761551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03830712,0.00008725435,0.9597767,0.0001873668,0.0003632378,0.0004770567,0.0003877881,0.0001022953,0.0003111897],"genre_scores_gemma":[0.7755909,0.00000513558,0.2233034,0.0000172584,0.00002613362,0.00001539236,0.0009968829,0.0000284508,0.00001648281],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7372838,"threshold_uncertainty_score":0.8225005,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2319412760","doi":"10.2514/6.2015-2748","title":"Comparison of Truncation Error Estimators for Defect Correction and Output Error Estimation in the Unstructured Mesh Finite Volume Method","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Numerical methods in engineering","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 British Columbia","funders":"","keywords":"Estimator; Truncation (statistics); Truncation error; Volume (thermodynamics); Estimation; Finite volume method; Error analysis; Computer science; Algorithm; Error detection and correction; Applied mathematics; Mathematics; Mathematical optimization; Statistics; Engineering; Physics; Mechanics","retraction":null,"screen_n_in":null,"score":{"opus":0.04732876890348494,"gpt":0.3456933613836525,"spread":0.2983645924801676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006691423,0.0002064073,0.0003360983,0.0001850253,0.0000506678,0.00005167981,0.0001751952,0.000104755,0.00000236393],"category_scores_gemma":[0.0007908219,0.0001929086,0.00005800879,0.0003420847,0.00006081935,0.0001749371,0.0000246234,0.0001989227,0.000001824161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001650587,"about_ca_system_score_gemma":0.00007017298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002165391,"about_ca_topic_score_gemma":0.00002614955,"domain_scores_codex":[0.998686,0.0001364801,0.0004860321,0.00022399,0.0002801003,0.0001874207],"domain_scores_gemma":[0.9982463,0.00119977,0.000107231,0.000148785,0.0002299361,0.00006804696],"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":[0.00001968177,0.00001910255,0.001308606,0.00007240156,0.00002156899,2.697321e-7,0.001516156,0.9507199,0.00006687354,0.005733432,0.00006932461,0.04045267],"study_design_scores_gemma":[0.000418364,0.00008335119,0.009209345,0.00004586334,0.00003436421,0.000009986158,0.0004732861,0.975958,0.00008601911,0.01346529,0.00002756579,0.0001885729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08350734,0.00006410154,0.9150049,0.00008058096,0.0007083456,0.0003987092,0.00003523768,0.00009876528,0.0001019866],"genre_scores_gemma":[0.5942591,9.84746e-7,0.4055516,0.00001001943,0.00001429892,0.00002153919,0.0001172392,0.00001671873,0.00000848539],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5107518,"threshold_uncertainty_score":0.7866584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2324736649","doi":"10.2514/6.2015-3198","title":"Opportunities for efficient high-order methods based on the summation-by-parts property (Invited)","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Advanced Numerical Methods in Computational Mathematics","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":"University of Toronto","funders":"","keywords":"Property (philosophy); Computer science; Order (exchange); Epistemology; Business; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.1088230970660706,"gpt":0.325307276952871,"spread":0.2164841798868005,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008237712,0.0003071693,0.0002995384,0.0001118452,0.0001693958,0.0001190863,0.0003451722,0.00008536318,0.00002528867],"category_scores_gemma":[0.0009792341,0.0002125122,0.00007103822,0.0002934257,0.0001567362,0.0000929592,0.00004885436,0.000195652,0.00001419944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002531194,"about_ca_system_score_gemma":0.0001779364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003298099,"about_ca_topic_score_gemma":0.000001110643,"domain_scores_codex":[0.9981608,0.0002368123,0.0004866933,0.0002952011,0.0005292565,0.0002912287],"domain_scores_gemma":[0.9941707,0.004404021,0.0001051223,0.0002685398,0.0008907131,0.0001609296],"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":[0.00001662541,0.00005966143,0.000001940255,0.00004985859,0.00002483951,8.304149e-7,0.000115157,0.8651338,0.00005071117,0.1167622,0.00256652,0.01521783],"study_design_scores_gemma":[0.0003471256,0.00007796791,0.00001289338,0.00005070346,0.00001535771,0.000002122461,0.0001914441,0.8856406,0.0001337132,0.1113372,0.001918029,0.000272919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002401405,0.00003346966,0.9907146,0.004172435,0.0005076636,0.0006415142,0.0002180728,0.0002612956,0.001049508],"genre_scores_gemma":[0.245457,0.000002909216,0.7528688,0.0009283947,0.00005276938,0.0001097286,0.0003719296,0.00005400738,0.0001544022],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2430556,"threshold_uncertainty_score":0.8665997,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2325479674","doi":"10.2514/6.2015-2284","title":"Higher-order Unstructured Finite Volume Methods for Turbulent Aerodynamic Flows","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","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":"University of British Columbia","funders":"","keywords":"Aerodynamics; Finite volume method; Turbulence; Mechanics; Computer science; Volume (thermodynamics); Aerospace engineering; Physics; Engineering; Thermodynamics","retraction":null,"screen_n_in":null,"score":{"opus":0.02271207457053617,"gpt":0.2794970620837437,"spread":0.2567849875132076,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000546528,0.0006445072,0.0006129843,0.0003056056,0.0001988983,0.0002901407,0.0006156075,0.0002679474,0.0000826586],"category_scores_gemma":[0.0001459907,0.0007093442,0.0002264894,0.0006308547,0.0001362982,0.0003143192,0.0001347396,0.0003749517,0.00007598452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000724953,"about_ca_system_score_gemma":0.0004558339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002660179,"about_ca_topic_score_gemma":0.0000853249,"domain_scores_codex":[0.9970511,0.0001253799,0.0008698672,0.000708607,0.0005558472,0.0006892311],"domain_scores_gemma":[0.9968902,0.0006824082,0.00012528,0.000417412,0.001461621,0.0004230566],"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":[0.00003493402,0.00004636107,0.0000616422,0.00006456098,0.0001154942,0.000005863089,0.0001300207,0.8773108,0.0003405451,0.1041855,0.0004300609,0.01727423],"study_design_scores_gemma":[0.0009943858,0.00008035605,0.001327747,0.0000380726,0.00005122127,0.00003690875,0.00004742451,0.8986802,0.000004253531,0.09573334,0.002268707,0.0007373783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04302064,0.000261794,0.9509105,0.0008411665,0.002183622,0.0006545482,0.0004364319,0.0005610725,0.0011302],"genre_scores_gemma":[0.6142553,0.00002122717,0.3816887,0.0001774302,0.0001850802,0.00004528716,0.002791414,0.000111046,0.0007244557],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5712347,"threshold_uncertainty_score":0.9995357,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2326745902","doi":"10.2514/6.2015-2294","title":"Target-Edge Based Orthogonal Anisotropic Mesh","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Computer science; Computer vision","retraction":null,"screen_n_in":null,"score":{"opus":0.03089164590968869,"gpt":0.2788191916557526,"spread":0.2479275457460639,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003997866,0.0003130596,0.0003011303,0.0003479337,0.0001914741,0.0005135279,0.001252241,0.0001187425,0.00003886776],"category_scores_gemma":[0.00006099584,0.0003277737,0.0001220224,0.0008032043,0.000122502,0.0005581462,0.0003986338,0.0002021147,0.0000589428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000163426,"about_ca_system_score_gemma":0.001075426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002040688,"about_ca_topic_score_gemma":0.00001872603,"domain_scores_codex":[0.9974872,0.0001540174,0.0004992663,0.0006733689,0.0008069804,0.0003791216],"domain_scores_gemma":[0.9976271,0.0001727055,0.0001687901,0.0005092318,0.001188196,0.0003339931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006710608,0.0001102768,0.001490424,0.00001133357,0.00001613961,0.00001398416,0.0001609781,0.01005701,0.00001833828,0.983491,0.001156622,0.00346719],"study_design_scores_gemma":[0.0004530323,0.0001410441,0.001893622,0.00002317524,0.00000429082,0.00001333303,0.0000130732,0.8093088,0.00007925598,0.186643,0.001109352,0.0003180175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009302293,0.00005270475,0.9867377,0.0009848219,0.0005048259,0.0002325025,0.00003774575,0.0006255868,0.001521828],"genre_scores_gemma":[0.7727042,0.000004890914,0.2260073,0.0008428437,0.00006271604,0.00001031725,0.000252319,0.0000175208,0.00009788587],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7992517,"threshold_uncertainty_score":0.9999174,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2325825763","doi":"10.2514/6.2015-3421","title":"An ALE/FE formulation for high precision interface tracking in separated multiphase flows","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Interface (matter); Computer science; Tracking (education); Multiphase flow; Parallel computing; Mechanics; Physics; Bubble","retraction":null,"screen_n_in":null,"score":{"opus":0.04207651997082187,"gpt":0.3215805977776175,"spread":0.2795040778067956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003053464,0.0002455098,0.0002787987,0.0002095687,0.00007985408,0.0001317689,0.0001869,0.0001114833,0.00001058795],"category_scores_gemma":[0.0001358437,0.0002655076,0.00004064062,0.0002570172,0.00002165278,0.0007488689,0.00003724493,0.0001351021,0.00002514645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003581541,"about_ca_system_score_gemma":0.00009224118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002937334,"about_ca_topic_score_gemma":0.0002682444,"domain_scores_codex":[0.9985211,0.00004881702,0.0005314802,0.0003197947,0.0003121691,0.0002666285],"domain_scores_gemma":[0.9985536,0.0003716149,0.00006928565,0.0001755395,0.0007089866,0.0001209606],"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":[0.00008011328,0.00005860135,0.0006016677,0.00002610681,0.00002439029,0.000001631878,0.001136777,0.9804947,0.0008601589,0.01014383,0.00005297568,0.006518998],"study_design_scores_gemma":[0.001843205,0.0000923592,0.006692388,0.00005603249,0.00001296989,0.00000257032,0.0002068831,0.9792036,0.0001868812,0.01135471,0.0000519182,0.000296456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4888513,0.00003640251,0.510213,0.00003930847,0.0002204721,0.0003248583,0.00006824751,0.0001470506,0.00009936032],"genre_scores_gemma":[0.9612461,0.000004035184,0.0378529,0.00002533324,0.00005645899,0.0000236543,0.0007147315,0.00003946034,0.00003734936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4723947,"threshold_uncertainty_score":0.9999797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2327930056","doi":"10.2514/6.2015-2914","title":"New Diagonal-Norm Summation-by-Parts Operators for the First Derivative with Increased Order of Accuracy","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Diagonal; Norm (philosophy); Derivative (finance); Mathematics; Summation by parts; Order (exchange); Algebra over a field; Applied mathematics; Calculus (dental); Computer science; Mathematical analysis; Pure mathematics; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.02653084392055183,"gpt":0.2776772406247837,"spread":0.2511463967042318,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002216799,0.000261263,0.0003079091,0.00006823771,0.000121356,0.00007031423,0.0003504178,0.0000623775,0.00002323229],"category_scores_gemma":[0.0008631758,0.0002015821,0.0000480633,0.000436872,0.0001301196,0.0002662329,0.00005625203,0.0001400448,0.000007651327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642747,"about_ca_system_score_gemma":0.0003975502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003034956,"about_ca_topic_score_gemma":0.00003253197,"domain_scores_codex":[0.9985942,0.00003730697,0.0004642214,0.0002279267,0.0004565235,0.0002198733],"domain_scores_gemma":[0.9936894,0.004739064,0.0001444116,0.0001994276,0.001075976,0.0001517351],"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":[0.00003750766,0.00003236548,0.0002087949,0.00006742399,0.00009510436,5.282749e-7,0.0004939892,0.9228107,0.00003646675,0.06910563,0.001012894,0.006098629],"study_design_scores_gemma":[0.0007029746,0.00008661312,0.0005709627,0.0000665952,0.00002801537,0.000005540731,0.0001923168,0.9238291,0.0002133413,0.07335554,0.0007077915,0.0002411644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01411181,0.0001384997,0.9840118,0.0004921413,0.0001720149,0.0005574699,0.0001649113,0.0001060358,0.000245309],"genre_scores_gemma":[0.5352232,0.000009722134,0.4643349,0.0001047713,0.00004492182,0.00003778621,0.0001842571,0.00003574726,0.00002467651],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5211114,"threshold_uncertainty_score":0.8220279,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2314095842","doi":"10.2514/6.2015-2757","title":"Investigation of Efficient High-Order Implicit Runge-Kutta Methods Based on Generalized Summation-by-Parts Operators","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Runge–Kutta methods; Diagonal; Mathematics; Numerical methods for ordinary differential equations; Stability (learning theory); Quadrature (astronomy); Applied mathematics; Gauss; Gauss–Seidel method; Numerical analysis; Computer science; Differential equation; Algorithm; Mathematical analysis; Ordinary differential equation; Geometry; Iterative method; Differential algebraic equation","retraction":null,"screen_n_in":null,"score":{"opus":0.07603155767486978,"gpt":0.3625009938154037,"spread":0.2864694361405339,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001180824,0.0003678024,0.0005792984,0.0002748028,0.0001523384,0.0001043714,0.0003805529,0.000164279,0.0001054785],"category_scores_gemma":[0.001490183,0.0003516747,0.000117235,0.000726752,0.000216098,0.0001228528,0.00007498455,0.0002232911,0.00002418295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003048968,"about_ca_system_score_gemma":0.0006358441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001294395,"about_ca_topic_score_gemma":0.00001848396,"domain_scores_codex":[0.9963632,0.0009570728,0.0009531713,0.0005137835,0.000887399,0.0003254272],"domain_scores_gemma":[0.9952127,0.002080094,0.000415104,0.0004492354,0.001531339,0.0003115277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005481037,0.0002175541,0.0002594163,0.00006456178,0.00007559388,8.158178e-7,0.0004186151,0.3528898,0.007889797,0.6328025,0.0003713636,0.004955097],"study_design_scores_gemma":[0.0007797742,0.0001147494,0.000430775,0.00004743357,0.00005321492,8.819095e-7,0.00004205301,0.6604874,0.002820731,0.3349647,0.00001891193,0.0002394362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2704481,0.0000138967,0.7276469,0.0006772816,0.0003130161,0.0004317763,0.0001892412,0.00009296182,0.0001867716],"genre_scores_gemma":[0.4927503,8.113597e-7,0.5063441,0.0001646464,0.00002652011,0.00002571443,0.0005965402,0.0000321298,0.00005926142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3075975,"threshold_uncertainty_score":0.9998935,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2333744133","doi":"10.2514/6.2015-3062","title":"A Continuous Sensitivity Equation of Arbitrary High Order","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Sensitivity (control systems); Order (exchange); Computer science; Applied mathematics; Mathematics; Engineering; Electronic engineering; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.03592210093840128,"gpt":0.2693761547304198,"spread":0.2334540537920185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006944847,0.0001899898,0.0003380921,0.0001152173,0.00006617852,0.0001164994,0.000319917,0.00007637963,0.000009252049],"category_scores_gemma":[0.0002877986,0.0001835804,0.00006237896,0.0005704074,0.0001272003,0.0004214268,0.0002251464,0.000162158,0.00003023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008400597,"about_ca_system_score_gemma":0.0005150199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001916678,"about_ca_topic_score_gemma":0.00001009389,"domain_scores_codex":[0.9980373,0.0002948531,0.0004092359,0.0004162439,0.0005946013,0.0002478102],"domain_scores_gemma":[0.9975617,0.0005649994,0.0001931771,0.000298125,0.001197748,0.0001842365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001146487,0.0001356927,0.0002329495,0.00001235436,0.00002525167,0.00002811179,0.0002678926,0.03332657,0.0004120742,0.8867287,0.00005278824,0.07876613],"study_design_scores_gemma":[0.0003498821,0.0001082084,0.002609777,0.0000190478,0.000005440697,0.00002368732,0.00003555298,0.7829052,0.0001321258,0.2136049,0.00003355306,0.0001725842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04286295,0.00002675003,0.9543709,0.001116016,0.0004340568,0.0001500963,0.00003499773,0.0001038355,0.0009004251],"genre_scores_gemma":[0.5326391,0.000001754585,0.4670492,0.000175064,0.00003195889,0.000001886491,0.00004193532,0.000006126681,0.00005298568],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7495787,"threshold_uncertainty_score":0.7486192,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2320143803","doi":"10.2514/6.2015-2464","title":"A logarithmic formulation for low-Reynolds number turbulence models with adaptive wall-functions","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Turbulence; Reynolds number; Logarithm; Reynolds stress equation model; Mechanics; K-epsilon turbulence model; Statistical physics; Reynolds decomposition; Physics; Computer science; Mathematics; Applied mathematics; K-omega turbulence model; Reynolds equation; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.02278587021508177,"gpt":0.2198426697552524,"spread":0.1970567995401706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001607608,0.0003619215,0.0003009526,0.0001360679,0.0001481421,0.0001414036,0.0002515024,0.0001522161,0.00002381483],"category_scores_gemma":[0.00001935066,0.0003536679,0.00009193431,0.0002758332,0.00006201871,0.0005797244,0.00004717475,0.0002138676,0.00007055373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005068314,"about_ca_system_score_gemma":0.0002862994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005362249,"about_ca_topic_score_gemma":0.000161852,"domain_scores_codex":[0.9982998,0.00002346661,0.0003983331,0.0004170492,0.000446864,0.0004144987],"domain_scores_gemma":[0.9984517,0.0001557845,0.00006866511,0.0002427576,0.0008605043,0.0002206655],"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":[0.00006933998,0.00004310284,0.00007937361,0.0000300634,0.00006378106,0.000002786122,0.0002316597,0.7665125,0.00001151517,0.2316828,0.000321123,0.0009519591],"study_design_scores_gemma":[0.001188677,0.0001354085,0.0002341343,0.00007617819,0.00003755264,0.00002816027,0.00006388527,0.9263042,0.000004423004,0.07140459,0.00009011768,0.0004326463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1205236,0.00003739417,0.8746338,0.0001705716,0.0003365529,0.0005826697,0.00030458,0.0003084361,0.003102412],"genre_scores_gemma":[0.9512712,0.00001025622,0.04690127,0.00008981756,0.00007332451,0.00007843593,0.001067329,0.00006590383,0.0004424414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8307477,"threshold_uncertainty_score":0.9998915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2328773821","doi":"10.2514/6.2015-2915","title":"Development of Generalized Summation-by-Parts Operators for the Second Derivative with Variable Coefficients","year":2015,"lang":"en","type":"article","venue":"22nd AIAA Computational Fluid Dynamics Conference","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Constant coefficients; Partial derivative; Operator (biology); Differential operator; Variable (mathematics); Mathematics; Applied mathematics; Derivative (finance); Operator theory; Mathematical analysis; Partial differential equation; Variable coefficient; Dissipative system; Material derivative; Summation by parts; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.07264775250010978,"gpt":0.3268645969518437,"spread":0.2542168444517339,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005407659,0.0002148663,0.0003189441,0.000066885,0.0002432876,0.00008043603,0.0003094902,0.00006234538,0.0000981118],"category_scores_gemma":[0.0004664105,0.0001538329,0.00004384373,0.0003117852,0.000147934,0.0001247068,0.00005964334,0.0000951137,0.000005309002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602104,"about_ca_system_score_gemma":0.000805017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001176836,"about_ca_topic_score_gemma":0.00007260074,"domain_scores_codex":[0.9983023,0.0001211734,0.0005683282,0.0002735374,0.0005040561,0.0002305653],"domain_scores_gemma":[0.9966013,0.001524176,0.0002599087,0.0002048687,0.001289874,0.000119909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001428544,0.0003588629,0.0001597436,0.0001203927,0.0003104271,3.111089e-7,0.003613282,0.0394979,0.001640075,0.9471915,0.0007438265,0.006220758],"study_design_scores_gemma":[0.001180317,0.00008449521,0.0001219836,0.00004748561,0.00004601611,0.00000190944,0.0004621767,0.7747101,0.001512712,0.2203971,0.001205545,0.0002301541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1353777,0.00001634381,0.8631835,0.0001411972,0.0001406281,0.0006605293,0.0002460515,0.00003458025,0.0001994665],"genre_scores_gemma":[0.3598537,3.804831e-7,0.6392736,0.00005782083,0.00001387317,0.00006469544,0.0003154246,0.00002139402,0.0003991334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7352121,"threshold_uncertainty_score":0.6273124,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}