{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":23,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":23,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"cc86c40e0c6d","filters":{"venue":"2018  AIAA Aerospace Sciences Meeting"}},"results":[{"id":"W2783896490","doi":"10.2514/6.2018-0554","title":"On Using Upper Surface Shaping to Improve Waverider Performance","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science","authors":[{"name":"Patrick E. Rodi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0286079146860158,"gpt":0.268558945069242,"spread":0.2399510303832262,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006419737,0.0002969588,0.0002369965,0.0001187474,0.0006104757,0.0001431267,0.0004153368,0.00008807881,0.00007323472],"category_scores_gemma":[0.000205814,0.0002805365,0.00005154538,0.0008049894,0.0003622892,0.0005099937,0.0001260082,0.0001980661,0.0005526218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002111497,"about_ca_system_score_gemma":0.00003591881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003704548,"about_ca_topic_score_gemma":0.00001541266,"domain_scores_codex":[0.997734,0.00002242184,0.000278615,0.0005674794,0.0004983121,0.00089916],"domain_scores_gemma":[0.9991437,0.0001315611,0.00007237184,0.0003686542,0.00009228377,0.0001914124],"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":[0.00001182825,0.000008397466,0.001750101,0.00003266408,0.0000114874,0.000001665329,0.001418643,0.6408942,0.3536272,0.0001420362,0.0006207899,0.001480949],"study_design_scores_gemma":[0.0002036581,0.0002877302,0.0006650528,0.0003433244,0.000009473495,0.00000984387,0.0006474103,0.7696004,0.2265712,0.0000543502,0.001015431,0.0005921664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797972,0.00005777376,0.004351313,0.0001241955,0.001840716,0.0002363074,0.000003082486,0.0003514855,0.0132379],"genre_scores_gemma":[0.9035376,0.00001009005,0.09541614,0.0002590672,0.000331377,0.000003604329,3.275418e-7,0.00005541579,0.0003863333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1287062,"threshold_uncertainty_score":0.9999647,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2781661029","doi":"10.2514/6.2018-1006","title":"Development of a Preliminary Design Methodology for Transitional UAV","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","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 Calgary","funders":"","keywords":"Computer science; Systems engineering; Engineering","authors":[{"name":"Ashraf Kamal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1183455977950105,"gpt":0.3256251991869089,"spread":0.2072796013918984,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002200946,0.0001449673,0.0001926871,0.00006023522,0.0005930341,0.00001543125,0.0004642186,0.00008859864,0.0001666938],"category_scores_gemma":[0.0003861454,0.0001213838,0.00004898554,0.0004178809,0.002043576,0.000233311,0.0001486684,0.00006309355,0.0000595753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006704858,"about_ca_system_score_gemma":0.00005964759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001327779,"about_ca_topic_score_gemma":0.00003027733,"domain_scores_codex":[0.9984292,0.00008901977,0.0002815791,0.0004500527,0.0003217298,0.0004284672],"domain_scores_gemma":[0.9991162,0.0004727397,0.0001747238,0.0001568568,0.00002685074,0.00005262308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001847397,0.00009800063,0.002220317,0.00002660534,0.00001660193,0.000001283698,0.004448541,0.002896545,0.9305842,0.001638866,0.002431455,0.05545283],"study_design_scores_gemma":[0.0004549307,0.001148591,0.003368236,0.00008387577,0.0000179436,0.00001445237,0.002311566,0.007999215,0.9650645,0.01322146,0.005907853,0.0004073585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1353272,0.00004631126,0.8612387,0.0004316152,0.0001743057,0.0003733979,0.0000027671,0.0001047248,0.002300999],"genre_scores_gemma":[0.3274449,0.000002803285,0.6722725,0.00006341022,0.00002639858,0.00004158817,6.458663e-7,0.00000665492,0.0001410419],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1921177,"threshold_uncertainty_score":0.7529641,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782832970","doi":"10.2514/6.2018-1528","title":"Performance Prediction of Multirotor Vehicles Using A Higher Order Potential Flow Method","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Multirotor; Flow (mathematics); Order (exchange); Computer science; Environmental science; Engineering; Mathematics; Business; Aerospace engineering","authors":[{"name":"Devin F. Barcelos","is_ca":true},{"name":"Amir Kolaei","is_ca":true},{"name":"Goetz Bramesfeld","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02534577824919076,"gpt":0.2839518139206005,"spread":0.2586060356714097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001229136,0.0001751699,0.0002031949,0.0001541051,0.0004208623,0.00009160884,0.0003553514,0.0001088197,0.00006630557],"category_scores_gemma":[0.00005550689,0.0001587161,0.00005431391,0.0008196457,0.0006377891,0.0003899449,0.0001318303,0.0001656834,0.0000191183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000903451,"about_ca_system_score_gemma":0.00006123156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001593168,"about_ca_topic_score_gemma":0.00004701216,"domain_scores_codex":[0.9982274,0.00005735036,0.0002977638,0.0003267596,0.0005716785,0.0005190339],"domain_scores_gemma":[0.9993299,0.00004551289,0.00007736267,0.0002241539,0.0002282603,0.00009486109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001051129,0.00001691696,0.006120896,0.00006769494,0.00001985232,7.053151e-7,0.0003352259,0.3365671,0.6538706,0.00005739575,0.0001179372,0.00281516],"study_design_scores_gemma":[0.0002050033,0.000125907,0.008500632,0.00009002321,0.00001169533,0.000004289059,0.0001133235,0.9824789,0.008203912,0.0000190055,0.00009736005,0.0001499428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532248,0.00008342036,0.04297961,0.00004228104,0.0009909532,0.0002014937,0.00002135343,0.0001259397,0.002330107],"genre_scores_gemma":[0.8169094,0.00004224326,0.1824729,0.000007563298,0.0002833439,0.000006944029,0.000002401547,0.00002663504,0.0002485445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6459118,"threshold_uncertainty_score":0.6472256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2783381751","doi":"10.2514/6.2018-0324","title":"Design and Testing of Conventional and 3-D Riblets","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"Air Force Research Laboratory; Langley Research Center","keywords":"Computer science; Reliability engineering; Engineering","authors":[{"name":"Paul D. McClure","is_ca":true},{"name":"Brian Smith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05298089222760273,"gpt":0.2780915628924299,"spread":0.2251106706648272,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009282351,0.00007213477,0.00009420767,0.00007345703,0.0001832927,0.00005619139,0.00009320564,0.00003461536,0.00001812208],"category_scores_gemma":[0.0003475871,0.00006488975,0.000008753134,0.0003494062,0.0003475942,0.0001256969,0.00005150509,0.00006631242,0.000006067583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007730841,"about_ca_system_score_gemma":0.00001959783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001484892,"about_ca_topic_score_gemma":0.000002201363,"domain_scores_codex":[0.9992974,0.00002528577,0.0001281043,0.0001521676,0.0001914239,0.00020557],"domain_scores_gemma":[0.999504,0.000273947,0.00002307549,0.00006846948,0.00005746797,0.00007298517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007917662,0.00001989211,0.002859792,0.0002472529,0.00002630758,0.000001538325,0.0005233792,0.05204222,0.9263697,0.004897367,0.001191621,0.01181302],"study_design_scores_gemma":[0.0001123916,0.0001487065,0.0004717004,0.0001075087,0.000003091837,0.000007043993,0.00006083837,0.9322505,0.06636038,0.0002674298,0.000120257,0.00009018627],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7192984,0.000491711,0.2749043,0.0001255598,0.0002144901,0.0001584414,0.000001967356,0.0001613745,0.00464379],"genre_scores_gemma":[0.8687457,0.00002123552,0.1311112,0.000005571624,0.00005292042,0.000003991909,1.987167e-7,0.000006996949,0.00005220531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8802083,"threshold_uncertainty_score":0.2646127,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2783079751","doi":"10.2514/6.2018-0321","title":"Maturation of Direct Contactless Microfabrication for Application of Drag Reducing Riblets","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Microsemi (Canada)","funders":"U.S. Department of Defense","keywords":"Microfabrication; Drag; Materials science; Computer science; Aerospace engineering; Engineering; Fabrication","authors":[{"name":"Henry C. Bilinsky","is_ca":true},{"name":"Ralf N. Wilson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01090977478248845,"gpt":0.2474174188758354,"spread":0.236507644093347,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006351722,0.00009890546,0.0001727452,0.0001251081,0.0001497315,0.00001447832,0.0001924952,0.00007321054,0.000004217462],"category_scores_gemma":[0.0001326304,0.0000997739,0.00003948945,0.0004943095,0.000207092,0.0002044383,0.0000165705,0.0000475016,0.000005509004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003583548,"about_ca_system_score_gemma":0.00002155829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004596201,"about_ca_topic_score_gemma":0.00001425438,"domain_scores_codex":[0.9991615,0.00001825272,0.0002997579,0.0001986127,0.0001300749,0.0001917364],"domain_scores_gemma":[0.9992965,0.0001492136,0.0001900614,0.0001754234,0.000159121,0.00002964815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009465221,0.00001118152,0.001140045,0.000104354,0.00001134645,1.382439e-8,0.0006699635,0.01992375,0.9737011,0.001118171,0.0003763128,0.002934335],"study_design_scores_gemma":[0.0001675674,0.0000789131,0.005405192,0.00008945153,0.00001650685,0.000001512747,0.0001826398,0.1846014,0.808069,0.00008828254,0.001163752,0.0001357689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6493921,0.0004070728,0.3437121,0.0001584725,0.0005496184,0.000425168,0.00001387091,0.0001789577,0.005162677],"genre_scores_gemma":[0.9805651,0.00001991318,0.01919754,0.000007971,0.0001208164,0.000036634,0.000008252101,0.0000128069,0.00003101226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.331173,"threshold_uncertainty_score":0.4068662,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2784110549","doi":"10.2514/6.2018-2066","title":"An Efficient Model for Aeroelastic Tailoring of Aircraft Wings Under Gust Loads","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Aeroelasticity and Vibration Control","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":"Toronto Metropolitan University","funders":"","keywords":"Aeroelasticity; Aerospace engineering; Wing; Aerodynamics; Computer science; Structural engineering; Aeronautics; Engineering; Automotive engineering","authors":[{"name":"Michael Melville","is_ca":true},{"name":"Amir Kolaei","is_ca":true},{"name":"Goetz Bramesfeld","is_ca":true},{"name":"Hekmat Alighanbari","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02526936935760538,"gpt":0.2646305022474754,"spread":0.23936113288987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008390944,0.0002274322,0.0002725088,0.0001298903,0.0005224607,0.0001224128,0.000438142,0.0001000085,0.0000267582],"category_scores_gemma":[0.0001935128,0.0002153058,0.00008203567,0.0004260287,0.0005713354,0.0004198466,0.00005232296,0.0001139295,0.000027604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006657914,"about_ca_system_score_gemma":0.0000794853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002326728,"about_ca_topic_score_gemma":0.00009999149,"domain_scores_codex":[0.9981912,0.00002688225,0.0003803753,0.0004007187,0.0004052665,0.0005955306],"domain_scores_gemma":[0.999077,0.0002138617,0.0001265454,0.0002511397,0.0001784525,0.0001530546],"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":[0.00001279568,0.00002414283,0.0002607315,0.00004050292,0.00001060631,1.030368e-7,0.000932969,0.9176291,0.07918774,0.001463359,0.0002608722,0.0001770719],"study_design_scores_gemma":[0.000371256,0.0002813144,0.0001529945,0.0001267449,0.00002631906,0.000001286908,0.0006464731,0.9709917,0.02693151,0.0001859929,0.00004147709,0.0002429723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4009594,0.00005139335,0.5969619,0.00009895131,0.0005149788,0.0001947759,0.000007881567,0.0001751918,0.001035583],"genre_scores_gemma":[0.9670258,0.000004179068,0.03238838,0.00007468285,0.000339905,0.00002508154,0.000001898762,0.00003219568,0.0001078426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5660664,"threshold_uncertainty_score":0.8779916,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782261160","doi":"10.2514/6.2018-1038","title":"Bombardier Contribution to the 3rd AIAA High-Lift Workshop","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Computational Fluid Dynamics and Aerodynamics","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":"Bombardier (Canada)","funders":"","keywords":"Lift (data mining); Aeronautics; Aerospace engineering; Computer science; Marine engineering; Engineering; Data mining","authors":[{"name":"Marc Langlois","is_ca":true},{"name":"Hong Yang","is_ca":true},{"name":"Kurt Sermeus","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008825144904680286,"gpt":0.2388817469314539,"spread":0.2300566020267736,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001175315,0.000203325,0.0001807991,0.00008624126,0.0007859471,0.0002956524,0.0005236729,0.00007200851,0.00003381617],"category_scores_gemma":[0.0002824947,0.0001546693,0.00006627388,0.0009274152,0.0002958507,0.0002095215,0.0001657543,0.0001625907,0.0003649756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224201,"about_ca_system_score_gemma":0.00004338528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006305544,"about_ca_topic_score_gemma":0.0005999925,"domain_scores_codex":[0.9982669,0.00004344208,0.0002576039,0.0003631157,0.0004874715,0.0005814686],"domain_scores_gemma":[0.9991412,0.0002160316,0.00005370219,0.0002665951,0.0001872828,0.0001352427],"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":[0.00001223032,0.00002075587,0.002050195,0.0000130294,0.00004049061,0.000002401262,0.0009181816,0.9321212,0.01051779,0.0286568,0.02108611,0.004560797],"study_design_scores_gemma":[0.0001847327,0.00008794787,0.005550792,0.00009203887,0.00001427533,0.000005449128,0.0002287568,0.9767377,0.0007108777,0.000975385,0.01507718,0.0003348129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9037232,0.0002000852,0.0847569,0.004185111,0.003037701,0.0003102107,0.0000215507,0.0002889531,0.003476242],"genre_scores_gemma":[0.9919106,0.0000214219,0.00646099,0.0004006634,0.0007729123,0.0000168055,0.000008370608,0.00002363762,0.0003846082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08818734,"threshold_uncertainty_score":0.6307229,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2783756902","doi":"10.2514/6.2018-1048","title":"Waverider Vehicle Optimization with Volumetric Constraints for Wave Drag Minimization","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Engineering Applied Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Drag; Minification; Computer science; Aerospace engineering; Automotive engineering; Marine engineering; Engineering","authors":[{"name":"Patrick E. Rodi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02124186062489,"gpt":0.243123763428449,"spread":0.221881902803559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006783229,0.0001857154,0.0001660197,0.0002409305,0.0004053152,0.0001880296,0.0002271845,0.00008888753,0.00007449403],"category_scores_gemma":[0.0002456349,0.0001659909,0.00003172867,0.001377034,0.0006665045,0.0002903815,0.00004229879,0.0001161516,0.00003275685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019038,"about_ca_system_score_gemma":0.00005949901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001281091,"about_ca_topic_score_gemma":0.00001672221,"domain_scores_codex":[0.9983889,0.00001845776,0.0002028631,0.000357609,0.0004371206,0.0005950584],"domain_scores_gemma":[0.9992641,0.0001722287,0.00005581478,0.0001945135,0.0001935062,0.0001198648],"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":[0.00001056214,0.00001154863,0.0004885064,0.00006537333,0.00001886285,0.000001002227,0.0003868199,0.9854169,0.008285516,0.0001848746,0.002185836,0.002944197],"study_design_scores_gemma":[0.0003810172,0.0001871371,0.0002289196,0.00007420145,0.000009943885,0.000006033129,0.0002941697,0.9776077,0.02040791,0.0000154351,0.0005434798,0.0002440507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1366989,0.0001180399,0.8441631,0.0001815783,0.0006262377,0.0006764376,0.00001153638,0.0006065692,0.01691764],"genre_scores_gemma":[0.7337917,0.00001686059,0.2655922,0.00002075237,0.0002299565,0.00004272829,0.000006006202,0.00004393761,0.0002558959],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5970928,"threshold_uncertainty_score":0.6768911,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782811535","doi":"10.2514/6.2018-0979","title":"Decoupled Finite-Element Approach for High-Mach Flows with Finite-Rate Chemistry","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Finite element method; Mach number; Computer science; Mechanics; Thermodynamics; Physics","authors":[{"name":"Jory T. Seguin","is_ca":true},{"name":"Wagdi G. Habashi","is_ca":true},{"name":"Dario Isola","is_ca":false},{"name":"Guido S. Baruzzi","is_ca":false},{"name":"Marco Fossati","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009967110471877608,"gpt":0.220228644402663,"spread":0.2102615339307853,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009216042,0.0002737443,0.0002356736,0.00006276686,0.0005285064,0.0002195439,0.0004156628,0.00008095859,0.00003812213],"category_scores_gemma":[0.0001554485,0.0002362705,0.00005771816,0.0005481752,0.0002614704,0.0001793671,0.00008285207,0.0001308425,0.00001696988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009978232,"about_ca_system_score_gemma":0.00008150397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004079306,"about_ca_topic_score_gemma":0.0001485353,"domain_scores_codex":[0.9982284,0.00001740436,0.0002944141,0.0004996622,0.0003675443,0.0005925639],"domain_scores_gemma":[0.9989988,0.0003785287,0.00008994104,0.0002311392,0.0001796843,0.0001218955],"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":[0.00001374671,0.00002529968,0.0005759117,0.00008858363,0.00002671998,6.423617e-7,0.0002048418,0.9878126,0.01000451,0.0006259833,0.0002569381,0.0003642138],"study_design_scores_gemma":[0.0004395476,0.0001425917,0.0002338451,0.00006220875,0.00001827886,0.000002035832,0.0002138043,0.9960701,0.001885004,0.0003057625,0.0002766539,0.0003501319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5621718,0.00006401309,0.4332812,0.0001275351,0.0003390504,0.0002973035,0.00003948367,0.0002015326,0.003478101],"genre_scores_gemma":[0.8275474,0.00001465297,0.1715993,0.00005734529,0.0003248829,0.00005995908,0.00006379341,0.00003881845,0.0002937755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2653756,"threshold_uncertainty_score":0.9634833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2781930865","doi":"10.2514/6.2018-0367","title":"Adaptive Meshing and Time-Integrators for monolithic Finite Element Solution of the URANS equations","year":2018,"lang":"en","type":"preprint","venue":"2018  AIAA Aerospace Sciences Meeting","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":"Polytechnique Montréal","funders":"","keywords":"Finite element method; Integrator; Computer science; Control theory (sociology); Applied mathematics; Mathematical analysis; Mathematics; Engineering; Structural engineering; Telecommunications","authors":[{"name":"Étienne Muller","is_ca":true},{"name":"Dominique Pelletier","is_ca":true},{"name":"André Garon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05317455787896267,"gpt":0.3161564126023824,"spread":0.2629818547234197,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001704141,0.0002477689,0.0003249281,0.00009052609,0.0003965579,0.00007381914,0.0004681645,0.0001334023,0.000005352441],"category_scores_gemma":[0.002188782,0.0001896396,0.0001118154,0.0003323425,0.0005643556,0.0001282179,0.000366153,0.0002952484,0.00000349059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001324113,"about_ca_system_score_gemma":0.00009016052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001787877,"about_ca_topic_score_gemma":0.00000971986,"domain_scores_codex":[0.9983182,0.0001198195,0.0004541279,0.0003690243,0.0004226209,0.0003162186],"domain_scores_gemma":[0.9967164,0.002388207,0.0003764583,0.0002645707,0.0001982586,0.00005605489],"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":[0.000004918013,0.00001531255,0.000102366,0.0002916865,0.0000497623,5.08432e-8,0.001969573,0.9885041,0.002314833,0.003815209,0.0002196304,0.00271259],"study_design_scores_gemma":[0.00007665167,0.00006177028,0.00004177892,0.000688358,0.00004081917,4.504103e-7,0.0003569216,0.9169455,0.004443886,0.07710208,0.00004776023,0.0001940758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01048649,0.0003076426,0.9863058,0.0002732784,0.0008812381,0.0006760518,0.00005082742,0.0001052842,0.0009133948],"genre_scores_gemma":[0.3142101,0.00002157296,0.6854801,0.00002143448,0.0001260297,0.000073519,0.000002454608,0.00002632608,0.0000385316],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3037236,"threshold_uncertainty_score":0.773328,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4230933439","doi":"10.2514/6.2018-1306","title":"A Higher-Order Unstructured Finite Volume Solver for Three-Dimensional Compressible Flows","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","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":"Finite volume method; Solver; Compressibility; Volume (thermodynamics); Computer science; Order (exchange); Computational science; Mechanics; Applied mathematics; Mathematics; Physics; Thermodynamics","authors":[{"name":"Shayan Hoshyari","is_ca":true},{"name":"Carl Ollivier‐Gooch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01456159730942987,"gpt":0.2379612915442461,"spread":0.2233996942348163,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000424664,0.0002453435,0.0002267629,0.0001024146,0.0006331562,0.0001851433,0.0003758404,0.00009731841,0.0001210399],"category_scores_gemma":[0.00007336352,0.0002259144,0.00008729212,0.0005604335,0.0003637703,0.0002492963,0.0001172897,0.0001249049,0.00006961144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006564317,"about_ca_system_score_gemma":0.00007523797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000588939,"about_ca_topic_score_gemma":0.0007151157,"domain_scores_codex":[0.9982892,0.0000159792,0.0002848327,0.0004261087,0.0004225993,0.000561333],"domain_scores_gemma":[0.9991587,0.0002170823,0.00007265601,0.0002005056,0.0002372285,0.0001138634],"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":[0.00001131071,0.00001329586,0.001660805,0.00003064195,0.00002636486,7.713133e-7,0.00009778995,0.9775079,0.01193088,0.002099536,0.005508838,0.001111879],"study_design_scores_gemma":[0.0003514652,0.00009420743,0.002598947,0.0000689184,0.00001232852,0.000002757901,0.00001398998,0.9898275,0.0001908535,0.002536445,0.003994033,0.0003085627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8200936,0.0003391531,0.1682786,0.0007166897,0.005099515,0.0005060171,0.00009101463,0.0004864053,0.004388924],"genre_scores_gemma":[0.8724023,0.000003264558,0.1260123,0.0001361903,0.000630666,0.00002258303,0.00002771898,0.00004354286,0.0007214242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05230868,"threshold_uncertainty_score":0.9212523,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2783054502","doi":"10.2514/6.2018-0409","title":"Multi-Objective Optimization of a Supersonic Rocket Based Combined Cycle Inlet Through Differential Evolution","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Rocket and propulsion systems research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Supersonic speed; Inlet; Rocket (weapon); Differential evolution; Aerospace engineering; Differential (mechanical device); Computer science; Aeronautics; Environmental science; Marine engineering; Engineering; Mechanical engineering; Artificial intelligence","authors":[{"name":"Craig Jee","is_ca":true},{"name":"Jason Etele","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02599169975318753,"gpt":0.2785843990910707,"spread":0.2525926993378832,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006588609,0.000186102,0.0002583464,0.0002054146,0.0004657444,0.00008826338,0.0003480143,0.0001152891,0.0001417058],"category_scores_gemma":[0.0001868102,0.0001631493,0.00007318546,0.001121482,0.0004109909,0.0004307234,0.00008319425,0.0001422994,0.00004316719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001322311,"about_ca_system_score_gemma":0.00008391335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002929076,"about_ca_topic_score_gemma":0.0001568271,"domain_scores_codex":[0.9981072,0.000155966,0.0003166282,0.0003409531,0.000601186,0.0004780708],"domain_scores_gemma":[0.9992635,0.0001047339,0.000105062,0.0002237699,0.0002227905,0.00008019601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002602013,0.0002700292,0.05152699,0.0005778649,0.0001273092,0.000003222193,0.01610561,0.4393913,0.4817654,0.0000849644,0.00375491,0.006132148],"study_design_scores_gemma":[0.0007393862,0.0002989095,0.001387374,0.0001880234,0.00000901834,0.000001254739,0.001215354,0.8829698,0.1129072,0.00002625162,0.00005126086,0.0002061796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8428406,0.0001366774,0.1531122,0.00007194389,0.0007066007,0.0003346178,0.000009974915,0.0001738123,0.002613688],"genre_scores_gemma":[0.9780934,0.00001264887,0.02154806,0.000008886204,0.0001569215,0.00002100837,0.000005365297,0.00002414088,0.000129505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4435785,"threshold_uncertainty_score":0.6653034,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2783492097","doi":"10.2514/6.2018-1711","title":"AMTech CAPE Turbine Materials Standards Road Map: An Industry-Led Road Map Supporting the Next Generation of Power and Propulsion Manufacturing, Maintenance and Repair","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Rocket and propulsion systems research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institute of Standards and Technology; Ontario Advanced Manufacturing Consortium; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Propulsion; Turbine; Road map; Automotive engineering; Computer science; Engineering; Aerospace engineering; Cartography; Geography","authors":[{"name":"Michael L. Aller","is_ca":false},{"name":"Timothy Franta","is_ca":false},{"name":"Helge Von Helldorff-Garn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03795789453056213,"gpt":0.305034419012398,"spread":0.2670765244818359,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004710717,0.000250686,0.0003246807,0.0001520626,0.0007138307,0.0004026638,0.0003151435,0.0002140729,0.0001977185],"category_scores_gemma":[0.0002254187,0.0001648152,0.0000362877,0.0002765808,0.0005674179,0.000649523,0.0002127898,0.0002708391,0.000008611877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006807043,"about_ca_system_score_gemma":0.00006758296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005543285,"about_ca_topic_score_gemma":0.0002566065,"domain_scores_codex":[0.9973139,0.0002061214,0.0005545835,0.0005028538,0.0008200055,0.0006024915],"domain_scores_gemma":[0.9989771,0.00003602653,0.0002477512,0.0003560491,0.0002311594,0.0001519507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004463131,0.00001497637,0.003756616,0.0003222634,0.00002413301,0.000005458319,0.003409218,0.0001288042,0.9624562,0.0000178978,0.005628217,0.02419164],"study_design_scores_gemma":[0.0004544418,0.0005787519,0.006541778,0.0005880165,0.00001473405,0.00003643386,0.00361708,0.01854947,0.9652014,0.00005185555,0.003947033,0.0004189941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968467,0.0004683437,0.00006194892,0.0004342379,0.0007822819,0.0004980789,0.00002073521,0.0001461577,0.0007415207],"genre_scores_gemma":[0.997013,0.00006431005,0.001721365,0.00002465107,0.0003937916,0.00002263245,0.000004357837,0.00002923796,0.0007266288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02377264,"threshold_uncertainty_score":0.6720967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2781769144","doi":"10.2514/6.2018-0132","title":"Analysis of Unstructured Meshes from GMGW-1 / HiLiftPW-3","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Polygon mesh; Computer science; Computer graphics (images)","authors":[{"name":"Carl Ollivier‐Gooch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01449860256580975,"gpt":0.2803708158811365,"spread":0.2658722133153267,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001225112,0.0002260757,0.0004338145,0.0004742446,0.0004598701,0.0003436538,0.002645376,0.0001165236,0.0000613152],"category_scores_gemma":[0.0004606412,0.0001771823,0.0001588004,0.004636848,0.001077036,0.0009030604,0.0006463242,0.000147965,0.00001572933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004803797,"about_ca_system_score_gemma":0.0001220562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079179,"about_ca_topic_score_gemma":0.0004692814,"domain_scores_codex":[0.9973272,0.0001186847,0.0003967157,0.000839795,0.0008288714,0.0004887311],"domain_scores_gemma":[0.9981269,0.0002433279,0.0004761188,0.0007700826,0.0002727832,0.0001108453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004774838,0.00018023,0.1543629,0.00007770336,0.001179575,0.0000250822,0.02514827,0.000685464,0.6382439,0.07707388,0.007434635,0.09554057],"study_design_scores_gemma":[0.0003149371,0.0004077567,0.009571576,0.000268741,0.0003758052,0.00000587431,0.0006291472,0.2024466,0.747696,0.03648376,0.0008450104,0.0009547705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7554253,0.002735547,0.2322664,0.001734913,0.001087219,0.0002355364,0.00002669431,0.001003234,0.005485176],"genre_scores_gemma":[0.5943538,0.000007285456,0.4053141,0.000156769,0.0000925724,0.000002513022,0.000001968437,0.000005436104,0.00006560144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2017612,"threshold_uncertainty_score":0.7225286,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782836618","doi":"10.2514/6.2018-2060","title":"Time Spectral Method for Unsteady Three-Dimensional Confined Viscous Flows with Variable Inflow Velocity at Low Reynolds Numbers","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Reynolds number; Inflow; Variable (mathematics); Mechanics; Physics; Mathematics; Classical mechanics; Mathematical analysis; Turbulence","authors":[{"name":"Dan Mateescu","is_ca":true},{"name":"Abdurrazag K. Khaled","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008365016011097855,"gpt":0.2279662982924619,"spread":0.219601282281364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001531864,0.0003874422,0.0004090708,0.000110719,0.0008041787,0.0001727306,0.0004640932,0.0001607384,0.0002845873],"category_scores_gemma":[0.000102887,0.0003231325,0.00009424608,0.0006493448,0.0005161688,0.0003134331,0.0001297927,0.0001835219,0.0001824685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002286791,"about_ca_system_score_gemma":0.0001421111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003065614,"about_ca_topic_score_gemma":0.001470457,"domain_scores_codex":[0.997376,0.00004308364,0.00035512,0.0006694834,0.0005855417,0.0009707261],"domain_scores_gemma":[0.9988675,0.0002688951,0.0001175713,0.0003670997,0.0001743497,0.0002046044],"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":[0.0001371696,0.0000527224,0.0009511246,0.0001063917,0.0001216877,0.000006802679,0.0006120682,0.8750119,0.1093144,0.001167915,0.01197864,0.0005391841],"study_design_scores_gemma":[0.0007291065,0.0003541817,0.0001723808,0.0001640378,0.00003656503,0.00002408747,0.00002618285,0.9904304,0.005632364,0.0002082293,0.001732948,0.0004895511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9351344,0.0001086723,0.04700118,0.0002811303,0.001262253,0.0007323406,0.00006220619,0.0004985033,0.01491932],"genre_scores_gemma":[0.2492508,0.000007132076,0.7455389,0.0002611583,0.0008770698,0.00007499275,0.00003863413,0.0001347589,0.003816543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6985377,"threshold_uncertainty_score":0.9999221,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782509100","doi":"10.2514/6.2018-0137","title":"Correlation of Alternative Jet Fuel Physical Properties to Engine Ignition at Altitude Conditions","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"Air Force Research Laboratory; Ministère de la Défense Nationale; Environment and Climate Change Canada","keywords":"Ignition system; Jet engine; Automotive engineering; Environmental science; Jet fuel; Altitude (triangle); Jet (fluid); Combustion; Aerospace engineering; Engineering; Mathematics; Chemistry","authors":[{"name":"Pervez Canteenwalla","is_ca":true},{"name":"Andrew Corber","is_ca":true},{"name":"Wajid A. Chishty","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02730261177335823,"gpt":0.2819755528435842,"spread":0.2546729410702259,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002177798,0.0001781858,0.0002086286,0.0001552868,0.000245505,0.00002191436,0.0003259868,0.00006128041,0.00003969742],"category_scores_gemma":[0.0008441918,0.0001516235,0.00005183654,0.000662116,0.0006237038,0.0003464115,0.0002159191,0.0001376229,0.0001570174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447403,"about_ca_system_score_gemma":0.00001978174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003527687,"about_ca_topic_score_gemma":0.00002229107,"domain_scores_codex":[0.9986741,0.00002062629,0.0002286399,0.0003510808,0.00038682,0.0003387258],"domain_scores_gemma":[0.9992351,0.0001232196,0.0001522791,0.0002134282,0.0002040382,0.00007195706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001419451,0.00004460709,0.0005078063,0.00003307535,0.00001428736,5.880493e-7,0.001811132,0.3147219,0.6782522,0.003939824,0.0003319428,0.0003285252],"study_design_scores_gemma":[0.000204406,0.0002409112,0.0003010319,0.0002249234,0.00001405525,0.000003505281,0.0008143691,0.3621378,0.6345212,0.001095555,0.0002146193,0.0002276326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111078,0.00004555019,0.08328879,0.0005627484,0.000344739,0.000250934,0.00001667984,0.0004754215,0.003907336],"genre_scores_gemma":[0.984741,0.000006444697,0.01464182,0.00003611689,0.0001942116,0.00003694239,0.000005741729,0.00001728193,0.0003204221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07363322,"threshold_uncertainty_score":0.6183025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4237570663","doi":"10.2514/6.2018-1362","title":"Global Droplet Size in Liquid Jet in a High Temperature and High Pressure Cross Flow","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Jet (fluid); Materials science; Mechanics; Flow (mathematics); High pressure; Thermodynamics; Physics","authors":[{"name":"Nasser Ashgriz","is_ca":true},{"name":"Amirreza Amighi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005230072004107453,"gpt":0.2283062788838866,"spread":0.2230762068797791,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007384621,0.0002440673,0.0002846702,0.00007633107,0.0002125723,0.0002680095,0.0003076786,0.000192461,0.00004552669],"category_scores_gemma":[0.00009366625,0.0002160526,0.00003052283,0.0008491686,0.0004806923,0.0003485793,0.0000789019,0.0002106581,0.00001268277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007304657,"about_ca_system_score_gemma":0.00004785547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001258955,"about_ca_topic_score_gemma":0.009752612,"domain_scores_codex":[0.9982564,0.00004241594,0.000276841,0.0004742634,0.0003069736,0.0006431155],"domain_scores_gemma":[0.9995506,0.00007816996,0.00001850191,0.0001961982,0.00004750745,0.0001090376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002242041,0.0001355458,0.6330246,0.0005063891,0.00005383325,0.00006735579,0.004972911,0.2078017,0.1405122,0.008561144,0.003432277,0.0007078003],"study_design_scores_gemma":[0.002888243,0.0009426676,0.3893719,0.001011185,0.00002956801,0.00003236286,0.0004377174,0.5924194,0.008943572,0.0010832,0.001412571,0.001427624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963377,0.0006014555,0.00006911902,0.000448364,0.0007286688,0.0001920974,0.00004900664,0.0001124674,0.001461115],"genre_scores_gemma":[0.9947698,0.0001074115,0.004728529,0.00009765493,0.0001971496,0.0000129621,0.000002304836,0.00001973645,0.00006445395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3846177,"threshold_uncertainty_score":0.8810368,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2783013525","doi":"10.2514/6.2018-1567","title":"Application of Diablo to Three-Dimensional Benchmark Problems for Reynolds-Averaged Navier-Stokes Solvers","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Office National d'études et de Recherches Aérospatiales; Compute Canada","keywords":"Benchmark (surveying); Reynolds number; Reynolds-averaged Navier–Stokes equations; Computer science; Navier–Stokes equations; Computational fluid dynamics; Mechanics; Physics; Turbulence; Geology","authors":[{"name":"Thomas A. Reist","is_ca":true},{"name":"David W. Zingg","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01028833583569353,"gpt":0.2354307114882906,"spread":0.225142375652597,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008360572,0.0001712756,0.0001981585,0.0001152005,0.0003548202,0.00005875841,0.0003263101,0.00006261156,0.000008771379],"category_scores_gemma":[0.00009546795,0.0001668627,0.00007107259,0.0005920261,0.000225323,0.0001697588,0.00008344475,0.00007413805,0.00001899441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007664145,"about_ca_system_score_gemma":0.00005048347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001072135,"about_ca_topic_score_gemma":0.0005985823,"domain_scores_codex":[0.9985358,0.00001270298,0.00031552,0.0003648857,0.0003915116,0.0003796198],"domain_scores_gemma":[0.9992103,0.0001950278,0.00009492207,0.0001905051,0.0002086638,0.0001005832],"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":[0.000009793725,0.00002402524,0.004043423,0.00007468952,0.00001931183,1.226357e-7,0.0003894714,0.8689825,0.1199058,0.002166803,0.00110811,0.00327598],"study_design_scores_gemma":[0.0001757989,0.0001606131,0.002877444,0.0001025847,0.000009573722,0.000001130156,0.00004408308,0.9919378,0.002421317,0.001288269,0.0007642014,0.0002172306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8434504,0.00008885766,0.153922,0.0002292705,0.0006186745,0.0005677685,0.00003405604,0.0001124668,0.0009764768],"genre_scores_gemma":[0.936998,0.000004219633,0.06263644,0.000049403,0.0001610743,0.00005511436,0.00001853855,0.00002253936,0.0000547218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1229553,"threshold_uncertainty_score":0.6804461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2783055595","doi":"10.2514/6.2018-0830","title":"A Priori Stability Analysis of Finite Volume Methods On Unstructured Meshes","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"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":"Polygon mesh; A priori and a posteriori; Finite volume method; Stability (learning theory); Computer science; Volume (thermodynamics); Finite element method; Volume mesh; Mesh generation; Mechanics; Computer graphics (images); Structural engineering; Engineering; Physics; Thermodynamics; Machine learning","authors":[{"name":"Reza Zangeneh","is_ca":true},{"name":"Carl Ollivier‐Gooch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05342579768095772,"gpt":0.3713487050745559,"spread":0.3179229073935981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002397391,0.0002104107,0.0004970893,0.0002557765,0.0002086252,0.00004569984,0.0004336838,0.00007505216,0.0001103395],"category_scores_gemma":[0.003032141,0.0001796469,0.0001452139,0.003040184,0.0008747918,0.000166745,0.0000902442,0.0001501334,0.00001345553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008336687,"about_ca_system_score_gemma":0.00003201259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001341603,"about_ca_topic_score_gemma":0.00001331563,"domain_scores_codex":[0.9980087,0.0002476849,0.0004709646,0.0003973511,0.000513133,0.0003622203],"domain_scores_gemma":[0.9967436,0.002395827,0.0002187595,0.0003752407,0.0001725566,0.00009401759],"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":[0.00002010441,0.00005136913,0.007740181,0.0001454339,0.0003905304,6.594107e-7,0.003480843,0.9110647,0.04001428,0.002775401,0.0001673698,0.03414915],"study_design_scores_gemma":[0.00008228735,0.0001717804,0.003191344,0.00005639397,0.0001430204,5.453882e-7,0.0003598382,0.9369379,0.04716285,0.01127646,0.0003728349,0.0002447608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1707987,0.00007254769,0.8231229,0.0000684446,0.0005858354,0.0001339645,0.00001101274,0.000180199,0.005026319],"genre_scores_gemma":[0.3812758,0.000004232637,0.6185975,0.00002441277,0.00006053396,0.000004350894,7.488266e-7,0.00001240699,0.00002001195],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.210477,"threshold_uncertainty_score":0.7325786,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2781941338","doi":"10.2514/6.2018-0363","title":"A Continuous Shape Sensitivity Equation Method of Arbitrary High Order","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"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; Mathematics; Mathematical analysis; Engineering; Electronic engineering","authors":[{"name":"Yohann Vautrin","is_ca":true},{"name":"Dominique Pelletier","is_ca":true},{"name":"André Garon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03590824131798551,"gpt":0.3219708778452757,"spread":0.2860626365272901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002182937,0.0001720339,0.0003089385,0.00009402091,0.0001839738,0.00003801657,0.00018821,0.00006894839,0.00003928384],"category_scores_gemma":[0.001573574,0.0001590668,0.00004633691,0.0009333637,0.0004749603,0.0002706402,0.00008156567,0.0001350899,0.00003264042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004303318,"about_ca_system_score_gemma":0.0000371446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002826389,"about_ca_topic_score_gemma":0.000005402743,"domain_scores_codex":[0.9983884,0.0001893081,0.0003487515,0.000289696,0.0004553887,0.0003285144],"domain_scores_gemma":[0.9975291,0.001801094,0.0001849854,0.0001829474,0.0002330697,0.00006883109],"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":[0.00002230901,0.0001188396,0.001212112,0.0003549086,0.00008631236,0.000007741434,0.003004626,0.4868518,0.3441336,0.02802058,0.0005610853,0.1356261],"study_design_scores_gemma":[0.000122402,0.0001205821,0.0004041322,0.0001204784,0.00001344308,0.00001072586,0.0002468955,0.9086828,0.06506596,0.0248925,0.0001051489,0.000214984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1052777,0.00005220963,0.8887787,0.0001140275,0.0005698925,0.0001412537,0.000004472985,0.0002021105,0.004859547],"genre_scores_gemma":[0.3292628,0.000003998863,0.6704916,0.00005088685,0.000146564,0.000004306519,7.119899e-7,0.00001708443,0.00002206359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4218309,"threshold_uncertainty_score":0.6486557,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2784109595","doi":"10.2514/6.2018-0323","title":"Characteristics of the Turbulent Boundary Layer over Structured Roughness Surfaces","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"Air Force Research Laboratory","keywords":"Boundary layer; Surface roughness; Turbulence; Surface finish; Layer (electronics); Boundary (topology); Materials science; Boundary layer thickness; Mechanics; Composite material; Physics; Mathematics; Mathematical analysis","authors":[{"name":"Brian Smith","is_ca":true},{"name":"Patrick Yagle","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01058475524511762,"gpt":0.226091246099596,"spread":0.2155064908544784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005162847,0.0002090662,0.0002290983,0.00005104279,0.0004309492,0.0001592795,0.0006154782,0.00008767252,0.00008789576],"category_scores_gemma":[0.00006948517,0.0001439372,0.0000846106,0.0004912521,0.0007677989,0.0002115509,0.0001482308,0.0001534241,0.00001882466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005108982,"about_ca_system_score_gemma":0.0000560177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008680416,"about_ca_topic_score_gemma":0.0001341355,"domain_scores_codex":[0.9984385,0.00003918698,0.0003077709,0.0002784546,0.0005027059,0.0004333251],"domain_scores_gemma":[0.9993025,0.00005533834,0.0001321966,0.0003539337,0.00009046269,0.00006555607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005797328,0.0001352784,0.3497849,0.0006047317,0.0002314803,0.00001029098,0.009263638,0.1712518,0.4354929,0.006006562,0.02192125,0.005239235],"study_design_scores_gemma":[0.0003500153,0.0001173895,0.198452,0.0002955921,0.00003853905,0.00001169145,0.0001552922,0.7615184,0.02971678,0.0004339845,0.008351662,0.0005587072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933039,0.0002776823,0.0001168041,0.0002082801,0.002626,0.0001543399,0.00002183682,0.00009613674,0.00319504],"genre_scores_gemma":[0.9979624,0.00005091331,0.00134416,0.00007415124,0.0002650536,0.000003343079,0.000001921059,0.00002480992,0.0002732321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5902665,"threshold_uncertainty_score":0.5869588,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782737459","doi":"10.2514/6.2018-0794","title":"Modulated High-Frequency Distributed Forcing of the Wake of a Blunt Trailing Edge Profiled Body","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":0,"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":"Wake; Trailing edge; Forcing (mathematics); Enhanced Data Rates for GSM Evolution; Physics; Acoustics; Computer science; Mechanics; Atmospheric sciences; Telecommunications","authors":[{"name":"Ross Cruikshank","is_ca":true},{"name":"Philippe Lavoie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00852744601497189,"gpt":0.2160301354179262,"spread":0.2075026894029544,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008151699,0.0001594549,0.0002915655,0.0001080694,0.0002927233,0.0000507971,0.0004617953,0.00007392038,0.00004534528],"category_scores_gemma":[0.0002313219,0.0001162021,0.0001266746,0.001397586,0.0004692422,0.0001980871,0.00007752761,0.0001024964,0.000004913233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003993181,"about_ca_system_score_gemma":0.00006046519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003005264,"about_ca_topic_score_gemma":0.0002686764,"domain_scores_codex":[0.9984995,0.00005039713,0.000473764,0.0002502759,0.0003940822,0.0003319801],"domain_scores_gemma":[0.9991637,0.00006647874,0.0002176459,0.0003146266,0.0001807675,0.00005675207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003650204,0.00001903237,0.01050374,0.00006402827,0.00004684345,2.175391e-7,0.0006542313,0.07904978,0.9071528,0.002220135,0.0001303244,0.0001551907],"study_design_scores_gemma":[0.0001722909,0.00005079794,0.006608874,0.0001606978,0.00003452822,9.140466e-7,0.0002618437,0.8195671,0.1728429,0.000146768,0.00001362452,0.0001396319],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978292,0.00007671466,0.01885093,0.0001587964,0.0004502739,0.0001822666,0.0000339229,0.00008578238,0.001869303],"genre_scores_gemma":[0.9941835,0.00001142511,0.005637463,0.00001174516,0.00007114503,0.00000569734,0.000007004516,0.00001571504,0.00005631353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7405173,"threshold_uncertainty_score":0.4738584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2783073601","doi":"10.2514/6.2018-0829","title":"Comparison of <i>h</i>- and <i>p</i>-Derived Output-Based Error Estimates for Directing Anisotropic Adaptive Mesh Refinement in Three-Dimensional Inviscid Flows","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Canadian Space Agency","keywords":"Inviscid flow; Adaptive mesh refinement; Anisotropy; Computer science; Applied mathematics; Control theory (sociology); Mathematics; Physics; Algorithm; Mechanics; Computational science; Optics; Artificial intelligence","authors":[{"name":"Christopher Ngigi","is_ca":true},{"name":"Lucie Fréret","is_ca":true},{"name":"C. P. T. Groth","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03429743435087682,"gpt":0.2934846253201138,"spread":0.259187190969237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006627869,0.0002089704,0.0003490005,0.0001393973,0.0002845994,0.00005614762,0.0001859807,0.00006210793,0.00000397457],"category_scores_gemma":[0.0001414826,0.0001817451,0.00005098986,0.0003856312,0.0003068101,0.0001362731,0.00009080767,0.0001032823,0.00000183416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000927958,"about_ca_system_score_gemma":0.00009152049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000144185,"about_ca_topic_score_gemma":0.003480489,"domain_scores_codex":[0.9984813,0.00002408119,0.0004265635,0.0003644016,0.0003275994,0.0003760654],"domain_scores_gemma":[0.9991052,0.0004317214,0.000139203,0.0001159749,0.000136261,0.0000716163],"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":[0.00004143333,0.00006673525,0.03640501,0.00008713857,0.00002301628,7.405376e-7,0.0006287359,0.8872731,0.07044991,0.0006981787,0.0001460803,0.004179905],"study_design_scores_gemma":[0.0005106311,0.0003508865,0.006554053,0.0002337645,0.0000137027,8.313121e-7,0.0002519513,0.9860026,0.00548183,0.0003418421,0.00004219235,0.0002156677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638417,0.0002993646,0.0345454,0.0002358132,0.0003628986,0.0002955187,0.0000191341,0.00008313752,0.0003170405],"genre_scores_gemma":[0.8338883,0.000002295886,0.1659776,0.0000304258,0.00005446283,0.00001520196,0.000007092632,0.00001847978,0.000006207208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1314322,"threshold_uncertainty_score":0.7411348,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}