{"meta":{"query_hash":"89c443ea35d8","filters":{"venue":"23rd AIAA Computational Fluid Dynamics Conference"},"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/89c443ea35d8","api":"https://metacan.xera.ac/api/v1/cohort?venue=23rd+AIAA+Computational+Fluid+Dynamics+Conference"},"results":[{"id":"W2610473871","doi":"10.2514/6.2017-3946","title":"On the Necessity of Superparametric Geometry Representation for Discontinuous Galerkin Methods on Domains with Curved Boundaries","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Discontinuous Galerkin method; Representation (politics); Convergence (economics); Finite element method; Euler's formula; Galerkin method; Boundary representation","score_opus":0.04978056714297233,"score_gpt":0.35845239703468884,"score_spread":0.3086718298917165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610473871","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11517435,0.00014934434,0.88018614,0.00032585478,0.000029144669,0.000042034535,0.000030194937,0.00011552307,0.0039473954],"genre_scores_gemma":[0.8191796,0.00023122338,0.17937094,0.0000784877,0.000031261963,0.000073197174,0.000059778893,0.00009472463,0.000880719],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844617,0.0008287452,0.00006198664,0.000120844,0.00044421083,0.00009809558],"domain_scores_gemma":[0.9930755,0.004503109,0.0006547612,0.0009645087,0.0005429798,0.00025905657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003354102,0.0005528648,0.00050780305,0.0006882498,0.00043285094,0.001172211,0.0007234001,0.00066212204,0.0013040004],"category_scores_gemma":[0.012358848,0.00023756143,0.00045295985,0.00030862246,0.0021112505,0.0018352048,0.0019969416,0.0015544846,0.0002591187],"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":[0.00029121214,0.00014977311,0.002904379,0.0002722167,0.00003498959,0.00048310045,0.00048203435,0.32142985,0.07345559,0.5621337,0.0005910468,0.037772164],"study_design_scores_gemma":[0.000014211947,0.00014547858,0.0007938502,0.000026741212,0.000010756877,0.00015768704,0.00006526432,0.9212054,0.018081833,0.05819166,0.0012809358,0.00002622657],"about_ca_topic_score_codex":0.00030158146,"about_ca_topic_score_gemma":0.00033132127,"teacher_disagreement_score":0.003354102,"about_ca_system_score_codex":0.00024296701,"about_ca_system_score_gemma":0.00058373756,"threshold_uncertainty_score":0.017738402},"labels":[],"label_agreement":null},{"id":"W2620750944","doi":"10.2514/6.2017-4113","title":"Block-Based Anisotropic AMR with <i>A Posteriori</i> Adjoint-Based Error Estimation for Three-Dimensional Inviscid and Viscous Flows","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Space Agency","keywords":"Inviscid flow; Block (permutation group theory); A priori and a posteriori; Anisotropy; Computer science; Mathematics; Mathematical optimization; Mechanics; Physics; Geometry; Optics","score_opus":0.012610242806255827,"score_gpt":0.23053666539180617,"score_spread":0.21792642258555034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620750944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016370863,0.00009567206,0.98228616,0.00005651482,0.000028277424,0.0000137167,0.00003526241,0.0003895679,0.0007239097],"genre_scores_gemma":[0.24006294,0.0001430213,0.7568596,0.00007124324,0.00004356179,0.00006472885,0.00023772175,0.00029147172,0.002225616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995239,0.00017768513,0.000030819796,0.000052360083,0.00017856456,0.00003664062],"domain_scores_gemma":[0.9987919,0.0005472689,0.00014509524,0.00018820661,0.00027607547,0.000051398292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012926303,0.00057023665,0.0006205642,0.00040469997,0.0002546585,0.0007671341,0.0009182846,0.000789261,0.0017141976],"category_scores_gemma":[0.0029934722,0.0004124962,0.00058042933,0.0003445149,0.0005101828,0.0009473713,0.0009958537,0.000804555,0.00059488916],"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":[0.0007005036,0.00018103533,0.0013961835,0.00020432335,0.000103458,0.00010298745,0.00019375558,0.6353351,0.07826542,0.017647479,0.0025574823,0.2633123],"study_design_scores_gemma":[0.00000428782,0.00001143987,0.00007519308,0.0000026777789,0.0000025895304,0.00000921621,0.000002823727,0.9966769,0.0023957386,0.0005080836,0.0003062144,0.0000048476386],"about_ca_topic_score_codex":0.0029865054,"about_ca_topic_score_gemma":0.0034442984,"teacher_disagreement_score":0.0029865054,"about_ca_system_score_codex":0.00023506454,"about_ca_system_score_gemma":0.00070690125,"threshold_uncertainty_score":0.006836176},"labels":[],"label_agreement":null},{"id":"W2620832839","doi":"10.2514/6.2017-4401","title":"Feature Detection and Curve Fitting Using Fast Walsh Transforms for Shock Tracking: Applications","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","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":"National Aeronautics and Space Administration","keywords":"Classification of discontinuities; Heaviside step function; Mathematics; Discontinuity (linguistics); Mathematical analysis; Walsh function; Gibbs phenomenon; Orthonormal basis; Basis function; Algorithm; Applied mathematics; Fourier transform; Physics","score_opus":0.0184193306972361,"score_gpt":0.25679449347164096,"score_spread":0.23837516277440485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620832839","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007292111,0.000116810996,0.9914095,0.00006716699,0.0000148473955,0.000017565422,0.000025078276,0.0007528163,0.00030415368],"genre_scores_gemma":[0.10600205,0.00027078224,0.8918219,0.000034101624,0.000028123472,0.000055788772,0.00012134132,0.0001609625,0.0015049537],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995152,0.00010984834,0.000041329986,0.00010569333,0.00018904654,0.00003881049],"domain_scores_gemma":[0.998351,0.0008905156,0.00014855918,0.00021669784,0.0003365179,0.000056677025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010517641,0.00089820335,0.00064631074,0.0015681799,0.00042505658,0.0010503933,0.0008566889,0.0011014364,0.002952908],"category_scores_gemma":[0.0052142506,0.000490914,0.00068647816,0.0020127813,0.0004893123,0.0013129477,0.00101233,0.0010746174,0.0012226577],"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":[0.00020276525,0.00008877008,0.0016618671,0.00014912225,0.00006329258,0.00022727631,0.00025026588,0.15268393,0.054752853,0.013658327,0.0021573887,0.7741041],"study_design_scores_gemma":[0.000010199432,0.000029698389,0.00038721997,0.000008131618,0.0000068632917,0.000080905476,0.00003204193,0.9834894,0.009150655,0.005006932,0.0017847359,0.000013189331],"about_ca_topic_score_codex":0.0026340017,"about_ca_topic_score_gemma":0.0022111065,"teacher_disagreement_score":0.002952908,"about_ca_system_score_codex":0.0004964716,"about_ca_system_score_gemma":0.0006278965,"threshold_uncertainty_score":0.009878457},"labels":[],"label_agreement":null},{"id":"W2620947305","doi":"10.2514/6.2017-4504","title":"Numerical Study of Momentum and Heat Transfer in Propylene Glycol Jets used for Aircraft Ground Deicing","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Aerospace engineering; Heat transfer; Momentum (technical analysis); Polyvinyl alcohol; Momentum transfer; Mechanics; Materials science; Physics; Engineering; Optics; Composite material","score_opus":0.022250043091288682,"score_gpt":0.2616549823526526,"score_spread":0.2394049392613639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620947305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957776,0.000117627365,0.0017725667,0.00004783473,0.000021675885,0.000013543482,0.0000410459,0.000026574544,0.0021814704],"genre_scores_gemma":[0.9983956,0.000059530495,0.0007275704,0.0000071203267,0.000002877824,0.0000048702354,0.000029373017,0.0000070698766,0.0007660382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999366,0.000010622661,0.0000033174995,0.000009545996,0.000020566758,0.000019333382],"domain_scores_gemma":[0.99974376,0.00015569772,0.000032079184,0.000012193444,0.00003446077,0.00002183898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017693214,0.0003045828,0.00035363072,0.00030130555,0.0003555113,0.00050121965,0.00034616038,0.00051155867,0.0012650026],"category_scores_gemma":[0.000548991,0.00015359782,0.00034323538,0.00040015785,0.00048552154,0.00034670567,0.00020839392,0.00034173002,0.00010745055],"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":[0.0017989308,0.0006468923,0.010984433,0.00032261177,0.00005490321,0.0009446318,0.0003472825,0.6649565,0.2990501,0.0027626453,0.0006881491,0.017442893],"study_design_scores_gemma":[0.00009867577,0.0008057101,0.008646559,0.000012187905,0.000027621898,0.000068241934,0.00015846387,0.9353892,0.054076508,0.00014070512,0.0005544521,0.000021765118],"about_ca_topic_score_codex":0.006347653,"about_ca_topic_score_gemma":0.0027890203,"teacher_disagreement_score":0.006347653,"about_ca_system_score_codex":0.00045187518,"about_ca_system_score_gemma":0.00036039297,"threshold_uncertainty_score":0.012621403},"labels":[],"label_agreement":null},{"id":"W2621077563","doi":"10.2514/6.2017-3612","title":"Unstructured Large Eddy Simulations of the transonic compressor Rotor 37","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"National Aeronautics and Space Administration","keywords":"Transonic; Rotor (electric); Gas compressor; Aerospace engineering; Mechanics; Eddy current; Computer science; Physics; Mechanical engineering; Aerodynamics; Engineering","score_opus":0.008537298189889297,"score_gpt":0.22554249748434588,"score_spread":0.21700519929445658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621077563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94797117,0.00019387467,0.02267004,0.00035144694,0.00008890598,0.000064787215,0.000364728,0.00036090187,0.0279342],"genre_scores_gemma":[0.9943962,0.00003411697,0.003308525,0.00002937148,0.000011394974,0.000018446704,0.00015264725,0.000053175343,0.001996062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987984,0.000038590395,0.0000048423813,0.000012969542,0.000027607259,0.00003604998],"domain_scores_gemma":[0.9995715,0.00020710946,0.000033187163,0.00004449709,0.00008333304,0.00006037383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024771917,0.00042957542,0.000602875,0.00034160787,0.00050498534,0.0006268152,0.00074077595,0.00093493314,0.0030361733],"category_scores_gemma":[0.0012651092,0.0003213584,0.0003923388,0.00033256147,0.0006724345,0.00063321745,0.0005401549,0.00057558605,0.00025186114],"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":[0.00009774711,0.00006748968,0.0009163163,0.000021146168,0.000015462814,0.00012997976,0.00004509424,0.9926247,0.0018137855,0.0020208186,0.000517914,0.0017293784],"study_design_scores_gemma":[0.000020594567,0.000019861704,0.00050061895,0.0000018714953,0.0000017287683,0.000005899807,0.000016403741,0.9987662,0.00026032224,0.0002546224,0.00014820513,0.0000036975653],"about_ca_topic_score_codex":0.014534016,"about_ca_topic_score_gemma":0.012021019,"teacher_disagreement_score":0.014534016,"about_ca_system_score_codex":0.00053368165,"about_ca_system_score_gemma":0.0007904578,"threshold_uncertainty_score":0.028898835},"labels":[],"label_agreement":null},{"id":"W2621145962","doi":"10.2514/6.2017-3803","title":"A framework for multi-block structured grid smoothing for 2D/3D aircraft configurations","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smoothing; Computer science; Block (permutation group theory); Grid; Computer vision; Mathematics; Geometry","score_opus":0.03447090842207862,"score_gpt":0.2956924041061865,"score_spread":0.2612214956841079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621145962","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010820995,0.00003448432,0.9975963,0.000018152543,0.000018708166,0.000014817595,0.000031958607,0.00060553325,0.00059790444],"genre_scores_gemma":[0.084139735,0.00012576197,0.9120814,0.000067836445,0.000042852065,0.00012086547,0.00031149,0.00076488144,0.0023451343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994993,0.00012072863,0.00003680095,0.00006382949,0.00022454014,0.00005471828],"domain_scores_gemma":[0.99901307,0.00026968357,0.00006345862,0.0003406666,0.00023601225,0.00007704173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007922326,0.000667428,0.0010335787,0.0007656935,0.0007579423,0.0011846878,0.0026328834,0.0010669084,0.006296593],"category_scores_gemma":[0.0028030055,0.0006468167,0.0011058932,0.0009466534,0.00057148427,0.0012662358,0.0025794106,0.0016036708,0.0019128497],"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":[0.00017537871,0.00011112785,0.00086607435,0.00016451189,0.00007936263,0.00021537003,0.00021278823,0.66820043,0.011171749,0.11224366,0.0067615616,0.19979802],"study_design_scores_gemma":[0.0000064776814,0.0000088804945,0.000037541162,0.0000055787877,0.0000032132423,0.000017830342,0.000008036627,0.98663527,0.00078863767,0.010123353,0.0023584925,0.000006622991],"about_ca_topic_score_codex":0.0048581413,"about_ca_topic_score_gemma":0.007794511,"teacher_disagreement_score":0.006296593,"about_ca_system_score_codex":0.0004487718,"about_ca_system_score_gemma":0.0009978024,"threshold_uncertainty_score":0.021064222},"labels":[],"label_agreement":null},{"id":"W2621152549","doi":"10.2514/6.2017-3453","title":"A Mixed-Element 3D Advancing Layer Mesh Generator For Complex Geometries","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Generator (circuit theory); Layer (electronics); Finite element method; Computer science; Mesh generation; Element (criminal law); Materials science; Mechanical engineering; Structural engineering; Composite material; Engineering; Physics; Power (physics)","score_opus":0.055053843229842206,"score_gpt":0.29706120199342917,"score_spread":0.24200735876358698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621152549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036656118,0.000036157573,0.98648226,0.000052970536,0.00007939247,0.00008161744,0.00036944248,0.005498795,0.0037337537],"genre_scores_gemma":[0.080273904,0.00009505607,0.90499073,0.00016509899,0.000030332183,0.00039171372,0.0016224188,0.0036709472,0.008759828],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997656,0.000030791576,0.000015267813,0.000020607453,0.00014934796,0.000018470304],"domain_scores_gemma":[0.9995647,0.00013533421,0.000022911954,0.00008842106,0.00015383965,0.000034789733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053893303,0.0006179467,0.00056720566,0.0005271213,0.000388634,0.0007220313,0.0025784122,0.001094667,0.01765239],"category_scores_gemma":[0.0014699202,0.00067306607,0.0006823452,0.0004110497,0.00023785177,0.0007074239,0.0015030575,0.0011697765,0.0057069412],"study_design_candidate":"bench_or_experimental","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":[0.00048079388,0.00024973985,0.0019174798,0.00055563153,0.00013138271,0.000639072,0.0004542728,0.38591322,0.08516726,0.058542624,0.044613604,0.42133486],"study_design_scores_gemma":[0.00005042934,0.000030001855,0.000100851896,0.000016167201,0.0000078851135,0.00008900522,0.000015397718,0.9678811,0.011595298,0.003668886,0.01652756,0.000017422693],"about_ca_topic_score_codex":0.0007292208,"about_ca_topic_score_gemma":0.001422147,"teacher_disagreement_score":0.01765239,"about_ca_system_score_codex":0.0003116912,"about_ca_system_score_gemma":0.0006115638,"threshold_uncertainty_score":0.059053123},"labels":[],"label_agreement":null},{"id":"W2621158338","doi":"10.2514/6.2017-4414","title":"A Hybrid GMRES Solver with Deflation for Ill-conditioned Adjoint Systems for Aerodynamic Shape Optimization","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Generalized minimal residual method; Solver; Deflation; Aerodynamics; Computer science; Mathematical optimization; Applied mathematics; Control theory (sociology); Mathematics; Aerospace engineering; Algorithm; Iterative method; Engineering; Artificial intelligence","score_opus":0.017689659776137907,"score_gpt":0.25084096379720516,"score_spread":0.23315130402106726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621158338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006706332,0.00006261399,0.9892252,0.00008575288,0.00006936537,0.000045253837,0.00006259895,0.0010905188,0.0026523792],"genre_scores_gemma":[0.08670292,0.000046373632,0.9079224,0.00014947922,0.000054288495,0.00016291591,0.00022610373,0.00045882407,0.00427677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996381,0.00010200599,0.000019254849,0.000035361427,0.00017557347,0.000029732357],"domain_scores_gemma":[0.9994499,0.00021059989,0.00003965275,0.000088755245,0.0001668905,0.00004411577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058262754,0.00071766815,0.0006840814,0.00036264988,0.0004569512,0.0006627628,0.0012793624,0.001301633,0.0076417937],"category_scores_gemma":[0.0015698008,0.0004730668,0.0005941647,0.000357596,0.00045371588,0.0007677477,0.0017031132,0.0014791813,0.0020825288],"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":[0.00038495433,0.00032396227,0.000974519,0.00030900465,0.00011441539,0.00025303292,0.0002124797,0.59484076,0.046650965,0.03254018,0.011181643,0.31221405],"study_design_scores_gemma":[0.000017288081,0.000028642933,0.000052204192,0.0000053027825,0.0000032307519,0.000024274794,0.0000059231893,0.99443465,0.0021732713,0.0013011387,0.0019466907,0.00000742554],"about_ca_topic_score_codex":0.0020454912,"about_ca_topic_score_gemma":0.0035488582,"teacher_disagreement_score":0.0076417937,"about_ca_system_score_codex":0.00022830022,"about_ca_system_score_gemma":0.0009797342,"threshold_uncertainty_score":0.025564313},"labels":[],"label_agreement":null},{"id":"W2621186390","doi":"10.2514/6.2017-3297","title":"High-Order Finite-Volume Scheme with Anisotropic Adaptive Mesh Refinement: Efficient Inexact Newton Method for Steady Three-Dimensional Flows","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","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 Toronto","funders":"","keywords":"Finite volume method; Newton's method; Scheme (mathematics); Volume (thermodynamics); Adaptive mesh refinement; Computer science; Applied mathematics; Order (exchange); Finite element method; Mesh generation; Mathematical optimization; Mathematics; Mathematical analysis; Mechanics; Computational science; Physics; Nonlinear system","score_opus":0.015394023958901364,"score_gpt":0.23789330101264544,"score_spread":0.2224992770537441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621186390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036906227,0.00016420685,0.9941385,0.00003535189,0.000028317972,0.00002194829,0.000016547936,0.00027066268,0.0016338709],"genre_scores_gemma":[0.15265694,0.00039223072,0.842487,0.00005025722,0.000042176296,0.00021322652,0.00016017364,0.00021698397,0.0037810775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995828,0.00011259722,0.000016270405,0.00002944145,0.00023295802,0.000025809559],"domain_scores_gemma":[0.999734,0.00009440057,0.000032957094,0.000043612617,0.000078583085,0.000016442342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058000686,0.00046097682,0.00077395,0.00047782037,0.00040308363,0.00070940197,0.001241056,0.00086101395,0.0015108795],"category_scores_gemma":[0.0011381779,0.0002648275,0.0006569771,0.0005882089,0.00053672714,0.00064438436,0.0009554274,0.0009616641,0.00074925966],"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":[0.00006550409,0.0000646743,0.00092464726,0.00024248248,0.000042755906,0.00023120326,0.00021960979,0.7256177,0.035853975,0.062440217,0.0026815534,0.1716157],"study_design_scores_gemma":[0.0000049745836,0.000012170653,0.00007078443,0.0000070307865,0.0000026447142,0.000038227634,0.000006259564,0.99268603,0.0018151107,0.0021197593,0.0032306446,0.000006289681],"about_ca_topic_score_codex":0.002024519,"about_ca_topic_score_gemma":0.0017427381,"teacher_disagreement_score":0.002024519,"about_ca_system_score_codex":0.00037413876,"about_ca_system_score_gemma":0.00088842696,"threshold_uncertainty_score":0.0050544143},"labels":[],"label_agreement":null},{"id":"W2621213288","doi":"10.2514/6.2017-3105","title":"The Impact of Unstructured Mesh Generation Approach on Errors","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Mesh generation; Engineering; Finite element method; Structural engineering","score_opus":0.0330714362325339,"score_gpt":0.2960220197880657,"score_spread":0.2629505835555318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621213288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49608108,0.0031491476,0.46685174,0.0018516325,0.0014041614,0.00010110327,0.0004749544,0.0018718411,0.02821431],"genre_scores_gemma":[0.96078414,0.00037168327,0.03585688,0.00012533399,0.00006781707,0.000022521606,0.00016693016,0.00047104148,0.0021336903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853754,0.00048614194,0.000068549125,0.0001417671,0.00064876035,0.000117279254],"domain_scores_gemma":[0.9846506,0.011085794,0.00037609722,0.0010970556,0.0026263692,0.00016407623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001698019,0.0005129608,0.00053961744,0.0006448403,0.0004890877,0.00089402683,0.0006208,0.0011927406,0.002732057],"category_scores_gemma":[0.023356806,0.00020196628,0.0003516613,0.0006199323,0.00057099585,0.0011804102,0.0009127451,0.00080774137,0.0004753973],"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":[0.0017628967,0.00026302852,0.0063935844,0.00044517507,0.00007072342,0.00042489983,0.000263027,0.77771014,0.028940598,0.011052155,0.003903399,0.1687704],"study_design_scores_gemma":[0.00002783186,0.000124704,0.001272738,0.000037489488,0.000024231387,0.00008609998,0.000061464205,0.98041725,0.015420008,0.001557168,0.0009561247,0.000014879246],"about_ca_topic_score_codex":0.0029437784,"about_ca_topic_score_gemma":0.002174513,"teacher_disagreement_score":0.0029437784,"about_ca_system_score_codex":0.00035461684,"about_ca_system_score_gemma":0.00063265284,"threshold_uncertainty_score":0.009139657},"labels":[],"label_agreement":null},{"id":"W2621239036","doi":"10.2514/6.2017-3290","title":"Motivations and methods of verification for high-order RANS solvers and solutions","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Reynolds-averaged Navier–Stokes equations; Computer science; Order (exchange); Computational science; Computational fluid dynamics; Engineering; Aerospace engineering","score_opus":0.022914153443970936,"score_gpt":0.2877000538532348,"score_spread":0.26478590040926386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621239036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025474324,0.002207873,0.9821468,0.00197238,0.00025064233,0.00010189535,0.00012186092,0.00023991367,0.010411277],"genre_scores_gemma":[0.16192104,0.004166246,0.8149673,0.0015452392,0.0014953595,0.000619419,0.00067011063,0.0007654338,0.013849804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9888192,0.0042043305,0.00071683386,0.0014045115,0.004325002,0.0005302004],"domain_scores_gemma":[0.97648686,0.012433066,0.0011710004,0.0057749744,0.003558035,0.0005759253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014762143,0.0021243435,0.0015315185,0.0023900112,0.0021547526,0.0072467085,0.006290283,0.0053126663,0.0063464562],"category_scores_gemma":[0.038259793,0.002149564,0.0026700904,0.001477229,0.011418135,0.011546911,0.008171368,0.009418834,0.0026616873],"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":[0.000043924072,0.000040293773,0.00027189232,0.0002292784,0.000018035878,0.00006126519,0.00019386107,0.0064517865,0.0010333639,0.9761317,0.0012392154,0.014285534],"study_design_scores_gemma":[0.00003404955,0.000057633053,0.00024294129,0.00018336369,0.000014150497,0.00015208664,0.00008798155,0.07860753,0.0027995887,0.8989533,0.018809846,0.000057463574],"about_ca_topic_score_codex":0.0014335363,"about_ca_topic_score_gemma":0.0009423228,"teacher_disagreement_score":0.014762143,"about_ca_system_score_codex":0.0018375507,"about_ca_system_score_gemma":0.002696902,"threshold_uncertainty_score":0.07807064},"labels":[],"label_agreement":null},{"id":"W2621311892","doi":"10.2514/6.2017-4298","title":"A NURBS-Enhanced Treatment of Curved Boundary Integrating for the Time-Accurate Upwind Scheme with Unstructured Grids","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Upwind scheme; Scheme (mathematics); Boundary (topology); Unstructured grid; Computer science; Mesh generation; Applied mathematics; Grid; Computational science; Mathematical optimization; Algorithm; Geometry; Mathematics; Mathematical analysis; Physics; Finite element method; Discretization","score_opus":0.012647353791508935,"score_gpt":0.2430969869968501,"score_spread":0.23044963320534115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621311892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072900825,0.00016215097,0.98441803,0.00008828229,0.00013521282,0.000061759296,0.00006473504,0.00049147767,0.0072882543],"genre_scores_gemma":[0.22079223,0.00035618088,0.7603634,0.00014242013,0.000080102,0.00019269278,0.00030991755,0.0010757692,0.016687294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953735,0.00013173561,0.000021314236,0.000028663502,0.00024306725,0.000037930193],"domain_scores_gemma":[0.9995338,0.000104125735,0.00003331961,0.00010997029,0.00018614839,0.000032705862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055519596,0.0006784529,0.0008597674,0.00043174613,0.0005509859,0.00090085604,0.0019432367,0.0010274838,0.006008646],"category_scores_gemma":[0.0018497444,0.00049205474,0.0008620503,0.0005691859,0.00059077714,0.00078607746,0.0011882688,0.0013645568,0.0017546529],"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":[0.0001851331,0.00012784476,0.00091148907,0.00022573679,0.000056287296,0.00038964336,0.0003900285,0.6521203,0.03373281,0.1937763,0.006608018,0.11147635],"study_design_scores_gemma":[0.000009661079,0.000015325788,0.00007952419,0.000014397931,0.0000044529393,0.00003065656,0.00001765751,0.9874001,0.0029938594,0.0035592974,0.005864275,0.00001081048],"about_ca_topic_score_codex":0.004857579,"about_ca_topic_score_gemma":0.005795827,"teacher_disagreement_score":0.006008646,"about_ca_system_score_codex":0.00048791151,"about_ca_system_score_gemma":0.00094328803,"threshold_uncertainty_score":0.020100951},"labels":[],"label_agreement":null},{"id":"W2621391595","doi":"10.2514/6.2017-3101","title":"Optimization-based Anisotropic hp-Adaptation for High-Order Methods","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Faculty of Engineering, McGill University","keywords":"Adaptation (eye); Computer science; Order (exchange); Anisotropy; Physics; Optics","score_opus":0.041623742752306084,"score_gpt":0.3409728029685002,"score_spread":0.2993490602161941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621391595","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041439235,0.00014925175,0.9932957,0.00007341746,0.00007298248,0.000023863793,0.000024875075,0.00034753836,0.0018684308],"genre_scores_gemma":[0.21193592,0.00043923146,0.77645546,0.00020584215,0.00017425866,0.00025122054,0.00025650152,0.00093943084,0.009342159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937624,0.00021966541,0.00003743545,0.00007822945,0.00023466858,0.000053777294],"domain_scores_gemma":[0.99841475,0.00066861423,0.000080733946,0.00034840015,0.00041136617,0.00007620264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011205289,0.0007886566,0.0008662752,0.00053516653,0.00040304638,0.0010244821,0.0016750109,0.0013052685,0.005338169],"category_scores_gemma":[0.004706976,0.00054103765,0.0007142186,0.00063178665,0.0010758436,0.0012245434,0.001923971,0.0023273495,0.0015384818],"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":[0.0002690979,0.00015752793,0.00073064055,0.00028266202,0.00009148154,0.00013897206,0.0001740615,0.7090388,0.018235905,0.046215806,0.0060343137,0.21863087],"study_design_scores_gemma":[0.0000039967467,0.0000067910482,0.00003153248,0.0000036112417,0.0000020938926,0.000008327584,0.0000028599875,0.99625623,0.0008887357,0.001966102,0.00082614465,0.0000036462736],"about_ca_topic_score_codex":0.0038756155,"about_ca_topic_score_gemma":0.0045657866,"teacher_disagreement_score":0.005338169,"about_ca_system_score_codex":0.0005166383,"about_ca_system_score_gemma":0.0010641944,"threshold_uncertainty_score":0.01785791},"labels":[],"label_agreement":null},{"id":"W4251015120","doi":"10.2514/6.2017-4112","title":"Applications of the Unsteady Error Transport Equation on Unstructured Meshes","year":2017,"lang":"en","type":"article","venue":"23rd AIAA Computational Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Polygon mesh; Computer science; Applied mathematics; Computational science; Algorithm; Computer graphics (images); Mathematics","score_opus":0.015564955150312807,"score_gpt":0.23655000660087086,"score_spread":0.22098505145055805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251015120","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04700546,0.00085004146,0.92363936,0.00098164,0.00083714095,0.00009165361,0.00019434701,0.0005666721,0.02583365],"genre_scores_gemma":[0.7104906,0.0011076272,0.23821896,0.00025234636,0.0003134003,0.0001218222,0.0006491281,0.0006665697,0.048179664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995571,0.00012641466,0.000031967687,0.000044994562,0.00020358548,0.000035970632],"domain_scores_gemma":[0.99889153,0.00051711634,0.0000736223,0.00015235385,0.00032324748,0.000042187756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005915877,0.000578135,0.0007328367,0.0008869003,0.0005871766,0.0011061007,0.0010052032,0.0016121238,0.0039240313],"category_scores_gemma":[0.004693614,0.00033174004,0.00068301364,0.0005956077,0.0008999753,0.0013761471,0.0018353583,0.0011145002,0.00059285207],"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":[0.00017927775,0.000115440525,0.0012536522,0.0002547866,0.000046290694,0.00047126898,0.00023886436,0.64290226,0.018797396,0.2600842,0.0054303696,0.07022618],"study_design_scores_gemma":[0.000007967052,0.000008582604,0.00007241086,0.000008284605,0.000002253017,0.000049244147,0.000013226053,0.98665667,0.0015681214,0.009837875,0.0017677778,0.000007651368],"about_ca_topic_score_codex":0.00475585,"about_ca_topic_score_gemma":0.00264534,"teacher_disagreement_score":0.00475585,"about_ca_system_score_codex":0.0005327714,"about_ca_system_score_gemma":0.0006637856,"threshold_uncertainty_score":0.013127208},"labels":[],"label_agreement":null}]}