{"meta":{"query_hash":"47f2356d5019","filters":{"venue":"AIAA Scitech 2019 Forum"},"cohort_total":49,"direct_labels_cover":0,"predictions_cover":49,"exported":49,"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/47f2356d5019","api":"https://metacan.xera.ac/api/v1/cohort?venue=AIAA+Scitech+2019+Forum"},"results":[{"id":"W2908540124","doi":"10.2514/6.2019-0420.c1","title":"Correction: Multiscale Design Optimization of Additively Manufactured Aerospace Structures Employing Functionally Graded Lattice Materials","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada); Carleton University","funders":"","keywords":"Aerospace; Lattice (music); Materials science; Computer science; Mechanical engineering; Engineering drawing; Engineering; Aerospace engineering; Physics; Acoustics","score_opus":0.0074165225614126725,"score_gpt":0.20196100534663888,"score_spread":0.1945444827852262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908540124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047384907,0.00013501017,0.94383335,0.00009592971,0.0066651125,0.00064958376,0.000093260795,0.000735332,0.0004074841],"genre_scores_gemma":[0.90101665,0.00004289529,0.09695192,0.000050631457,0.00010302428,0.000040178467,0.00015622037,0.00010561892,0.0015328364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986568,0.00004734194,0.00039179137,0.00028902027,0.00024250134,0.000372507],"domain_scores_gemma":[0.9991972,0.00018086108,0.00012758705,0.00030966543,0.00011766523,0.00006702389],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001546227,0.00027545163,0.00032810014,0.00023876959,0.000084714105,0.000047746307,0.00020684746,0.00025465185,0.0012772364],"category_scores_gemma":[0.00006542497,0.00029206066,0.000061660336,0.0002894248,0.000058251877,0.0004058013,0.000049904418,0.00019196601,0.00007261164],"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":[0.000029032291,0.000009241687,0.00036807402,0.00003973594,0.00006825688,7.846883e-7,0.00008186747,0.96933347,0.02173002,0.00023604953,0.007945622,0.00015784816],"study_design_scores_gemma":[0.0013958878,0.00016318286,0.007125923,0.00013445773,0.000068547044,0.00005285771,0.00029565245,0.6148233,0.37353536,0.00034525697,0.0012909117,0.0007686538],"about_ca_topic_score_codex":0.000014886025,"about_ca_topic_score_gemma":0.000003310701,"teacher_disagreement_score":0.8536318,"about_ca_system_score_codex":0.00009163579,"about_ca_system_score_gemma":0.000024168055,"threshold_uncertainty_score":0.99995315},"labels":[],"label_agreement":null},{"id":"W2908606779","doi":"10.2514/6.2019-0046","title":"NATO AVT-239 Task Group: Air Vehicle Integration Considerations for Active Flow Control on a Future UAS","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Task group; Task (project management); Aeronautics; Control (management); Aerospace engineering; Computer science; Flow (mathematics); Flow control (data); Automotive engineering; Engineering; Systems engineering; Physics; Telecommunications; Artificial intelligence; Mechanics; Engineering management","score_opus":0.0036525361540636833,"score_gpt":0.1983144411352714,"score_spread":0.19466190498120772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908606779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6286112,0.00060069934,0.2994847,0.050074425,0.005548059,0.0063349786,0.001374717,0.003941699,0.0040295203],"genre_scores_gemma":[0.9958491,0.000022842409,0.0017935496,0.0013417479,0.000151687,0.00018548201,0.00010438914,0.000046611487,0.0005046288],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989782,0.000017093194,0.00021400834,0.00027240624,0.00014824545,0.0003700595],"domain_scores_gemma":[0.9992677,0.00017044833,0.00006336669,0.00034127338,0.00010175598,0.00005542959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010549926,0.00021133706,0.00024443227,0.00016886953,0.00014539684,0.000040875973,0.00012991477,0.0003064283,0.00009207694],"category_scores_gemma":[0.00005595076,0.00019718111,0.000107690204,0.0001841106,0.00003294422,0.00032442738,0.000019708128,0.00030521315,0.0005607802],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003303389,0.00027136455,0.0024229859,0.00011772093,0.00046736622,0.0000069904786,0.0011282952,0.0346501,0.24327219,0.21378061,0.44477093,0.058781087],"study_design_scores_gemma":[0.011865913,0.0023461606,0.005037084,0.00022917546,0.00015439704,0.000030009849,0.003979473,0.46485856,0.1924644,0.070004895,0.2470071,0.0020228443],"about_ca_topic_score_codex":0.0000068936797,"about_ca_topic_score_gemma":0.00020246366,"teacher_disagreement_score":0.43020844,"about_ca_system_score_codex":0.00011463235,"about_ca_system_score_gemma":0.00002416462,"threshold_uncertainty_score":0.80408126},"labels":[],"label_agreement":null},{"id":"W2908704155","doi":"10.2514/6.2019-0008","title":"Multi–Objective Design Optimization of an MoM Aircraft using an Asynchronous Constrained PSO","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","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":"Royal Military College of Canada","funders":"","keywords":"Computer science; Asynchronous communication; Particle swarm optimization; Mathematical optimization; Mathematics; Algorithm; Telecommunications","score_opus":0.01638111948842478,"score_gpt":0.252172728559829,"score_spread":0.2357916090714042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908704155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2536154,0.000029100373,0.745019,0.00004306257,0.00010358231,0.0006701278,0.00001820308,0.00024444913,0.00025705682],"genre_scores_gemma":[0.6113895,0.000009010275,0.38840812,0.0000581465,0.0000063022367,0.000008133579,0.000011796244,0.000024143874,0.00008480821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983192,0.000084369894,0.00028831715,0.0005443741,0.00028816878,0.0004755497],"domain_scores_gemma":[0.99901205,0.00005826497,0.0001969002,0.00060199277,0.000031281368,0.00009950115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002776476,0.00023811105,0.000273831,0.00011666595,0.00013892479,0.000029545155,0.0004543124,0.00021072282,0.00052699534],"category_scores_gemma":[0.000054446053,0.00022483288,0.000058977508,0.00037124706,0.00043498317,0.0011788097,0.00017521004,0.00016918164,0.00014172976],"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":[0.000045828077,0.00022699368,0.007536251,0.0000059975223,0.000014154301,0.000004952808,0.00012841923,0.7883721,0.19300188,0.000086633234,0.00005277433,0.010524011],"study_design_scores_gemma":[0.0011319683,0.0010519618,0.0020481807,0.0000339235,0.000022262782,0.000030079222,0.0010958435,0.8970807,0.095204584,0.0017250112,0.000078430356,0.0004970224],"about_ca_topic_score_codex":0.00021056665,"about_ca_topic_score_gemma":0.000027702667,"teacher_disagreement_score":0.3577741,"about_ca_system_score_codex":0.00019410597,"about_ca_system_score_gemma":0.000042593663,"threshold_uncertainty_score":0.91684186},"labels":[],"label_agreement":null},{"id":"W2908830379","doi":"10.2514/6.2019-0013","title":"A State Estimation Approach for High Angle-of-Attack Parameter Estimation from Certification Flight Data","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Aerospace and Aviation Technology","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":"University of Toronto","funders":"Federal Aviation Administration","keywords":"Estimation; Computer science; Certification; State (computer science); Estimation theory; Data modeling; Engineering; Algorithm; Systems engineering","score_opus":0.023546277170280457,"score_gpt":0.2515949363564402,"score_spread":0.22804865918615974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908830379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1945273,0.00009052064,0.80303705,0.0004646277,0.00024517305,0.0006996361,0.0005257918,0.00034085306,0.000069064845],"genre_scores_gemma":[0.8026072,0.000012251488,0.19224304,0.00004279329,0.00001484122,0.00006257279,0.004724479,0.000036567515,0.00025627634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988719,0.000012130779,0.00034262164,0.00034539876,0.00016604939,0.00026186934],"domain_scores_gemma":[0.99865395,0.00010736005,0.00014476992,0.000977175,0.00008289813,0.000033823973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016102249,0.00016342965,0.00023120569,0.00014326436,0.00004330606,0.00004755686,0.00042172088,0.00017661508,0.000032065615],"category_scores_gemma":[0.00008405585,0.00016147991,0.000038520073,0.0002430105,0.0000329603,0.00064636086,0.00008154167,0.000112426154,0.00016034934],"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":[0.00012276112,0.00024425087,0.0067381426,0.0005486105,0.00032939095,5.175412e-7,0.0005065995,0.56529576,0.06959407,0.008181342,0.09826916,0.2501694],"study_design_scores_gemma":[0.0004394885,0.000057894842,0.0008558092,0.000023371627,0.000027543927,6.0728894e-7,0.0000456905,0.95518506,0.03586582,0.0059358347,0.0013674338,0.00019543958],"about_ca_topic_score_codex":0.00004429811,"about_ca_topic_score_gemma":0.000006924203,"teacher_disagreement_score":0.610794,"about_ca_system_score_codex":0.000048459682,"about_ca_system_score_gemma":0.000016415925,"threshold_uncertainty_score":0.65849596},"labels":[],"label_agreement":null},{"id":"W2908840281","doi":"10.2514/6.2019-2299","title":"Investigation of a Local Correlation-based Transition Model in a Newton-Krylov Algorithm","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":3,"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 Toronto","funders":"National Aeronautics and Space Administration","keywords":"Algorithm; Computer science; Newton's method; Correlation; Statistical physics; Mathematics; Physics; Geometry; Nonlinear system; Quantum mechanics","score_opus":0.0035885146160093044,"score_gpt":0.17752793260153896,"score_spread":0.17393941798552964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908840281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36598688,0.000025557856,0.63337964,0.00016544326,0.00011785347,0.00015843878,0.000041819116,0.000052434665,0.000071934344],"genre_scores_gemma":[0.98607206,0.000004447237,0.0134994695,0.0000889534,0.000008979967,0.000008771412,0.00024645263,0.000024912075,0.000045921104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991676,0.000009264019,0.00028103028,0.0001547926,0.00020087848,0.00018639881],"domain_scores_gemma":[0.99965775,0.00005608691,0.000035426343,0.00014484135,0.00006194119,0.00004396139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011546011,0.00012117157,0.00015363583,0.00022069366,0.000017538829,0.000012906352,0.000091335256,0.00010668113,0.0000111849395],"category_scores_gemma":[0.0000029502623,0.0001375126,0.000056559267,0.00034384156,0.000032127173,0.0001695255,0.000010608465,0.00014012426,0.00003149221],"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":[0.000005706601,0.000009904138,0.001541075,0.000027227337,0.0000057662032,4.44911e-7,0.00007142282,0.9884658,0.0025157991,0.0032546783,0.00011651382,0.003985684],"study_design_scores_gemma":[0.0005600403,0.000037714133,0.0030880843,0.000062494444,0.000005013796,9.937035e-7,0.000029560078,0.98974913,0.00023170038,0.006078085,0.000011709893,0.0001454674],"about_ca_topic_score_codex":0.000056743887,"about_ca_topic_score_gemma":0.00006198072,"teacher_disagreement_score":0.6200852,"about_ca_system_score_codex":0.00010940809,"about_ca_system_score_gemma":0.000068460795,"threshold_uncertainty_score":0.5607601},"labels":[],"label_agreement":null},{"id":"W2908906621","doi":"10.2514/6.2019-0141","title":"Stability and Performance Robustness of an L1 Adaptive Dynamic Inversion Flight Control System","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Robustness (evolution); Control theory (sociology); Computer science; Inversion (geology); Adaptive control; Control system; Engineering; Artificial intelligence; Control (management); Geology","score_opus":0.005167328195531511,"score_gpt":0.18232176326484992,"score_spread":0.1771544350693184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908906621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728547,0.0004549001,0.024184406,0.000036869344,0.00070264057,0.00085794023,0.00009762767,0.00024801528,0.0005629447],"genre_scores_gemma":[0.9990241,0.000011619143,0.0007371883,0.000010855653,0.000043737564,0.000016044552,0.000012904643,0.00004491347,0.00009863049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985164,0.00006807853,0.00038487944,0.00032157343,0.00028216955,0.00042693867],"domain_scores_gemma":[0.99900734,0.00008361843,0.000119407974,0.0005135342,0.00015622398,0.0001198735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004564098,0.00024742004,0.0004970509,0.00013304195,0.0000611443,0.000022084578,0.0002505424,0.00016832621,0.000017622562],"category_scores_gemma":[0.000011059741,0.00022455194,0.00006738063,0.00017300568,0.000076801174,0.0005890807,0.00006658824,0.00019328532,0.000058820304],"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":[0.0038034252,0.00048754973,0.20594317,0.008809355,0.0014401652,0.000033905555,0.0016215142,0.44235858,0.28877258,0.004145924,0.0014201252,0.041163716],"study_design_scores_gemma":[0.001423029,0.00039577685,0.0070736157,0.00019305173,0.000026292853,0.000011039494,0.0008103763,0.98751235,0.0020047477,0.0000033508038,0.0002919791,0.00025440787],"about_ca_topic_score_codex":0.000031605607,"about_ca_topic_score_gemma":0.000050667364,"teacher_disagreement_score":0.54515374,"about_ca_system_score_codex":0.00019864216,"about_ca_system_score_gemma":0.000031244108,"threshold_uncertainty_score":0.91569626},"labels":[],"label_agreement":null},{"id":"W2908938413","doi":"10.2514/6.2019-1175","title":"Using a Complimentary Filter for Attitude Estimation During Sun Acquisition","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Inertial Sensor and Navigation","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":"NGC Aerospace (Canada)","funders":"","keywords":"Estimation; Computer science; Filter (signal processing); Computer vision; Artificial intelligence; Engineering","score_opus":0.01184799753304939,"score_gpt":0.2503142184465962,"score_spread":0.2384662209135468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908938413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9514737,0.000063629785,0.046690978,0.000091426795,0.0005569888,0.0005308135,0.000037763006,0.00021861144,0.0003360682],"genre_scores_gemma":[0.9883175,0.000003097832,0.011159055,0.000084060666,0.000092576905,0.000014954844,0.0001844239,0.0000345443,0.00010982318],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925584,0.0000071102018,0.0001777265,0.00015122029,0.00012544967,0.00028267532],"domain_scores_gemma":[0.9997061,0.000022527149,0.00003259468,0.00016660293,0.000035955265,0.000036250873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007164882,0.00012416451,0.00012328326,0.000093064846,0.00009547781,0.000039001086,0.000079032325,0.000077726945,0.00008924363],"category_scores_gemma":[0.0000027551723,0.0001311231,0.0000636253,0.000109516266,0.000010542382,0.0003657132,0.000022857661,0.00007098189,0.00015994352],"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":[0.00005936025,0.00002144355,0.0044892826,0.0001992042,0.000046370944,0.000001058231,0.00009778204,0.15349838,0.8385263,0.00051873917,0.001275398,0.0012666533],"study_design_scores_gemma":[0.001100944,0.00007211156,0.009382458,0.00014210133,0.00003331081,0.0000148212885,0.00004172011,0.79084694,0.19650626,0.0010404205,0.00047723635,0.00034169838],"about_ca_topic_score_codex":0.000037792863,"about_ca_topic_score_gemma":0.0000051717598,"teacher_disagreement_score":0.64202005,"about_ca_system_score_codex":0.00013735617,"about_ca_system_score_gemma":0.00000477417,"threshold_uncertainty_score":0.5347045},"labels":[],"label_agreement":null},{"id":"W2909028003","doi":"10.2514/6.2019-0852","title":"Euler-based Aerodynamic Shape Optimization of Leading Edge Tubercles in Transonic Flow","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transonic; Aerodynamics; Flow (mathematics); Computer science; Euler's formula; Mechanics; Physics; Aerospace engineering; Control theory (sociology); Mathematics; Engineering; Mathematical analysis; Artificial intelligence","score_opus":0.003930660267949615,"score_gpt":0.19580330001987123,"score_spread":0.19187263975192162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909028003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8539231,0.00019900028,0.14435242,0.00015533871,0.00049955654,0.0002849262,0.000060256072,0.0001416188,0.00038381218],"genre_scores_gemma":[0.9899023,0.00004101091,0.009703165,0.0000371283,0.000015882224,0.000008880185,0.00016794173,0.000055536657,0.00006813078],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878913,0.000017951701,0.00037791007,0.00024259578,0.00021677875,0.00035561214],"domain_scores_gemma":[0.9994885,0.00012250361,0.000041086976,0.0002419272,0.00005750938,0.000048517246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018207147,0.00019461972,0.00028830516,0.00031955616,0.000028446157,0.00002868495,0.00022870344,0.00012499608,0.00012553748],"category_scores_gemma":[0.00001390978,0.0002186431,0.00010330746,0.0004997739,0.000027503189,0.0002026765,0.000026018171,0.00018407751,0.000065462365],"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":[0.000009884814,0.00002824806,0.0035240883,0.000078921374,0.000013331753,0.0000010385552,0.000031305488,0.9845018,0.0065165777,0.00083045184,0.00006231025,0.004402061],"study_design_scores_gemma":[0.00062282523,0.000049048107,0.004240895,0.00011929957,0.0000075817256,0.0000016884114,0.000020743408,0.9942531,0.00018103505,0.00020431833,0.00006388116,0.00023560062],"about_ca_topic_score_codex":0.000018642924,"about_ca_topic_score_gemma":0.00016193782,"teacher_disagreement_score":0.13597925,"about_ca_system_score_codex":0.00014375574,"about_ca_system_score_gemma":0.000046322122,"threshold_uncertainty_score":0.89160067},"labels":[],"label_agreement":null},{"id":"W2909156091","doi":"10.2514/6.2019-2116","title":"Viscous-Inviscid Analysis of Transonic Swept Wings using 2.5D RANS and Parametric Shapes","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"University of Patras","keywords":"Transonic; Inviscid flow; Reynolds-averaged Navier–Stokes equations; Parametric statistics; Wing; Swept wing; Mechanics; Aerospace engineering; Computer science; Computational fluid dynamics; Physics; Geology; Aerodynamics; Mathematics; Engineering","score_opus":0.005782399578193416,"score_gpt":0.2108287863170623,"score_spread":0.2050463867388689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909156091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9184759,0.00048417973,0.080327176,0.000081311824,0.00013197116,0.00016732639,0.000075639815,0.000078938916,0.00017754674],"genre_scores_gemma":[0.9972648,0.0001600607,0.0023914913,0.000043962995,0.000011676523,0.0000019843912,0.000035258767,0.000032839715,0.000057905585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988462,0.000011879064,0.00031753062,0.0002569839,0.00025199147,0.00031542304],"domain_scores_gemma":[0.9995062,0.00012353514,0.000051508454,0.0001934289,0.00005708172,0.000068282476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017289605,0.00018435711,0.00039785274,0.00080281735,0.000049563132,0.000048875976,0.00017372641,0.00009467284,0.00004951482],"category_scores_gemma":[0.00000987491,0.00018745512,0.0001840908,0.0017966988,0.00004211379,0.00018785428,0.000041431576,0.00013309535,0.00001264834],"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":[0.000007240209,0.000018813113,0.01581755,0.00005453165,0.0004643281,0.0000011083458,0.00009417171,0.96158165,0.01717422,0.0009562076,0.00004083987,0.0037893516],"study_design_scores_gemma":[0.00028326438,0.00003855976,0.021919945,0.00002515204,0.00026750212,0.0000028888649,0.000050464085,0.97655594,0.00012124623,0.00028156332,0.00023880858,0.00021463518],"about_ca_topic_score_codex":0.00007558948,"about_ca_topic_score_gemma":0.00007129712,"teacher_disagreement_score":0.07878891,"about_ca_system_score_codex":0.000059836217,"about_ca_system_score_gemma":0.000021645683,"threshold_uncertainty_score":0.76441985},"labels":[],"label_agreement":null},{"id":"W2909157358","doi":"10.2514/6.2019-0641","title":"Fluid-Structure Interaction Extended-FEM Approach to Air-Ice Solidification","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Granular flow and fluidized beds","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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Fluid–structure interaction; Materials science; Computer science; Mechanical engineering; Structural engineering; Engineering","score_opus":0.005585054004726133,"score_gpt":0.2085307839081532,"score_spread":0.20294572990342705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909157358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87078595,0.0005072907,0.10126056,0.00069296296,0.0037808274,0.0013855594,0.0000932562,0.0012330329,0.020260544],"genre_scores_gemma":[0.99539196,0.000021410837,0.0030708676,0.0003167276,0.00013340858,0.000031175445,0.00013592104,0.00006669265,0.0008318431],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986037,0.000020548156,0.00026648783,0.00036825435,0.00026378792,0.0004772497],"domain_scores_gemma":[0.99912995,0.000021400198,0.00003364823,0.00061377656,0.000066839835,0.00013436368],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013243058,0.00025138684,0.00023014787,0.00024038213,0.00007643705,0.00006451758,0.00032232533,0.00020594428,0.00009594924],"category_scores_gemma":[0.000014771839,0.00024234992,0.000099060366,0.0004062564,0.000015852936,0.00039703803,0.00006288051,0.00028287267,0.0013778739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040513405,0.000052708565,0.00052157586,0.00010661322,0.000057206827,9.897567e-7,0.00039884893,0.008054055,0.9241711,0.0034416865,0.047148917,0.016005771],"study_design_scores_gemma":[0.0014961701,0.00022718318,0.0044643246,0.00011472136,0.00007092095,0.00010008892,0.0009363967,0.17690563,0.4105187,0.0015654884,0.40213487,0.0014654906],"about_ca_topic_score_codex":0.000019457251,"about_ca_topic_score_gemma":0.0000064601522,"teacher_disagreement_score":0.5136524,"about_ca_system_score_codex":0.00012849199,"about_ca_system_score_gemma":0.000015932117,"threshold_uncertainty_score":0.99939966},"labels":[],"label_agreement":null},{"id":"W2909170919","doi":"10.2514/6.2019-0851","title":"Application of Deployable Tubercles as High-Lift Leading-Edge Devices","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Biomimetic flight and propulsion mechanisms","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":"Royal Military College of Canada","funders":"","keywords":"Lift (data mining); Enhanced Data Rates for GSM Evolution; Computer science; Telecommunications","score_opus":0.0037502120365395615,"score_gpt":0.20327502318562654,"score_spread":0.199524811149087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909170919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96516323,0.0011180402,0.022988115,0.0005980773,0.0011697194,0.0007648948,0.000029584256,0.0006084046,0.007559929],"genre_scores_gemma":[0.9946042,0.0000444383,0.0035622027,0.00012587295,0.000040782274,0.000025036632,0.00002659859,0.000049490718,0.0015214185],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892956,0.000013052698,0.00026981675,0.00023356972,0.0002185201,0.00033547133],"domain_scores_gemma":[0.99933535,0.00004528112,0.00006134838,0.00043344992,0.000051318253,0.00007322577],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017977731,0.00017231189,0.0002513613,0.0001521492,0.000046313162,0.000028153414,0.0003109225,0.0001800043,0.0002805131],"category_scores_gemma":[0.0000072681214,0.00015784708,0.00006912287,0.000290525,0.000026886293,0.00018917865,0.00006452423,0.0001304879,0.0035066267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030037367,0.000051884716,0.008679224,0.00034631274,0.00008091866,0.0000011166486,0.00011390537,0.00089426694,0.888755,0.035750248,0.017069269,0.048227794],"study_design_scores_gemma":[0.00050029816,0.0001713408,0.0009784002,0.00007670167,0.000030182282,0.000006242718,0.000086716165,0.009140171,0.90380263,0.010747373,0.07407779,0.0003821446],"about_ca_topic_score_codex":0.00015563794,"about_ca_topic_score_gemma":0.00003125732,"teacher_disagreement_score":0.05700852,"about_ca_system_score_codex":0.000029049059,"about_ca_system_score_gemma":0.0000144914,"threshold_uncertainty_score":0.9972693},"labels":[],"label_agreement":null},{"id":"W2909180703","doi":"10.2514/6.2019-1172","title":"Path Following Control of Multiple Quadrotors Carrying A Rigid-body Slung Payload","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":15,"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":"Payload (computing); Path (computing); Computer science; Control theory (sociology); Control (management); Aerospace engineering; Engineering; Artificial intelligence; Computer network","score_opus":0.005687214748376454,"score_gpt":0.22721179009399842,"score_spread":0.22152457534562198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909180703","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22880313,0.00039985272,0.7651948,0.0005523196,0.0026783727,0.0011871206,0.000029075247,0.00043864315,0.0007166806],"genre_scores_gemma":[0.942996,0.000002905644,0.056218043,0.00027016128,0.000049260885,0.000035789515,0.0000071001446,0.000031003445,0.00038973536],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969062,0.000114749695,0.00057195773,0.00073508325,0.0007568092,0.0009151501],"domain_scores_gemma":[0.9976231,0.00044203422,0.00033419803,0.001306029,0.00011333596,0.00018133425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085762056,0.00032477445,0.0005891475,0.00028432364,0.0001652234,0.00013315205,0.0015613016,0.00018247862,0.000009948856],"category_scores_gemma":[0.00018803148,0.00029686064,0.00031668023,0.00064434984,0.000048107944,0.0008384748,0.00035900093,0.00030857846,0.00032139785],"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":[0.00004277169,0.00019441477,0.90118283,0.00013614561,0.00029763268,0.0001330803,0.0014714749,0.0068959193,0.072968684,0.004745495,0.0021042442,0.009827303],"study_design_scores_gemma":[0.0038574878,0.00044902158,0.015899459,0.00044584213,0.000042996766,0.00003540901,0.00024140684,0.9676445,0.008115856,0.00077793875,0.0016655696,0.0008245131],"about_ca_topic_score_codex":0.00036809707,"about_ca_topic_score_gemma":0.0000030452215,"teacher_disagreement_score":0.96074855,"about_ca_system_score_codex":0.00009609317,"about_ca_system_score_gemma":0.0001429872,"threshold_uncertainty_score":0.9999483},"labels":[],"label_agreement":null},{"id":"W2909282266","doi":"10.2514/6.2019-0374","title":"Ultrasonic Localization of a Quadrotor using a Portable Beacon","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Ultrasonic sensor; Computer science; Acoustics; Remote sensing; Computer vision; Geology; Physics","score_opus":0.005349291471798489,"score_gpt":0.20570220835067687,"score_spread":0.20035291687887838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909282266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6298257,0.00070355996,0.36383766,0.000052952026,0.0008226328,0.00080485997,0.000038932987,0.0011125519,0.0028011212],"genre_scores_gemma":[0.99837995,0.00004801775,0.0011220238,0.000047888065,0.000016167687,0.0000091129195,0.00002536173,0.0000407169,0.0003107797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990007,0.000008781647,0.0002962595,0.00016884237,0.00018817253,0.00033723886],"domain_scores_gemma":[0.9994483,0.000023234481,0.00007193765,0.00034885944,0.00007470631,0.000032992473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116301,0.00015072568,0.00022736173,0.00021530932,0.000042696254,0.000022047683,0.00020004706,0.00018655403,0.00017689957],"category_scores_gemma":[0.00002954266,0.0001495938,0.00006830948,0.0004904262,0.00004406271,0.00024630653,0.000036148063,0.000112866604,0.00010677805],"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":[0.000041175746,0.00010321825,0.17352343,0.00073449867,0.00017378177,0.0000054630323,0.00039572667,0.57286394,0.21254078,0.018675743,0.011760072,0.009182151],"study_design_scores_gemma":[0.00076619757,0.0001335006,0.00053565286,0.0001884231,0.000032286065,0.000014113704,0.00064608705,0.5342648,0.4461399,0.001504179,0.015286726,0.0004880951],"about_ca_topic_score_codex":0.00007994343,"about_ca_topic_score_gemma":0.00001552936,"teacher_disagreement_score":0.3685542,"about_ca_system_score_codex":0.00007312804,"about_ca_system_score_gemma":0.00003113932,"threshold_uncertainty_score":0.6100259},"labels":[],"label_agreement":null},{"id":"W2909288980","doi":"10.2514/6.2019-0850","title":"Further Parametric Investigation of Leading Edge Tubercles on the Propeller Performance","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Propeller; Parametric statistics; Enhanced Data Rates for GSM Evolution; Computer science; Marine engineering; Engineering; Telecommunications; Mathematics; Statistics","score_opus":0.010568989344404011,"score_gpt":0.1971660327414732,"score_spread":0.1865970433970692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909288980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926509,0.00006476262,0.0010308438,0.0007041473,0.00023759167,0.00036497405,0.0000031252446,0.00009718903,0.004846428],"genre_scores_gemma":[0.9984914,0.000036700523,0.00022710214,0.00021703378,0.000019065936,0.000017047201,0.000011948567,0.000021823387,0.000957863],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992802,0.000023030861,0.00018932552,0.000113402864,0.00018773986,0.00020627436],"domain_scores_gemma":[0.99954355,0.00011170733,0.000050360668,0.00022250802,0.000043846416,0.000028019991],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022971064,0.00010483516,0.000113540445,0.00011535433,0.000046742098,0.000025987694,0.00013512406,0.00005919636,0.000101096564],"category_scores_gemma":[0.000034397697,0.000075157775,0.000032793683,0.00043119912,0.000036760215,0.00022341165,0.000012584573,0.00014474362,0.0008234194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009558732,0.0000637084,0.12796718,0.0004207154,0.00016266576,4.6043684e-7,0.0060044187,0.0734774,0.64077574,0.018869692,0.08722313,0.04493931],"study_design_scores_gemma":[0.00076459313,0.0006369485,0.048995297,0.00027747155,0.000025169396,0.0000048139086,0.0007676634,0.22177069,0.7197476,0.0022071335,0.004223159,0.00057945837],"about_ca_topic_score_codex":0.0000042546785,"about_ca_topic_score_gemma":0.0000033781312,"teacher_disagreement_score":0.14829329,"about_ca_system_score_codex":0.000037616,"about_ca_system_score_gemma":0.000017588232,"threshold_uncertainty_score":0.9999546},"labels":[],"label_agreement":null},{"id":"W2909338288","doi":"10.2514/6.2019-1857","title":"Stretchable Structure for a Benchtop-Scale Morphed Leading Edge Demonstration","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Scale (ratio); Computer science; Materials science; Artificial intelligence; Physics","score_opus":0.004433744533971285,"score_gpt":0.19927106635091696,"score_spread":0.19483732181694569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909338288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5272833,0.00019560104,0.4663053,0.00064064807,0.0014177297,0.0011679403,0.00022906426,0.0004955257,0.0022649092],"genre_scores_gemma":[0.9943776,0.0000054146885,0.0040545305,0.00013825785,0.0001483718,0.000031001506,0.00009569208,0.000037419493,0.0011116775],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897397,0.000009053578,0.00023000453,0.00022357376,0.0001511765,0.0004122135],"domain_scores_gemma":[0.99950165,0.000082116036,0.00004602744,0.0002344517,0.000059778144,0.000075965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008393116,0.00018024017,0.00021695385,0.00009052535,0.00010632948,0.00008705087,0.00016385916,0.0001819809,0.00030884185],"category_scores_gemma":[0.000020759866,0.00018039599,0.00008302481,0.00015957831,0.0000213052,0.00048383934,0.000021089163,0.00016142875,0.00020169855],"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":[0.000084986845,0.000043414188,0.015959088,0.0003051893,0.0001551066,0.0000013191277,0.00048428588,0.15430196,0.74453473,0.014783232,0.055028535,0.014318191],"study_design_scores_gemma":[0.0018338574,0.0002532766,0.000988873,0.00008361365,0.00005276066,0.000009400311,0.00033289875,0.85959655,0.11451531,0.0043479973,0.01736518,0.000620299],"about_ca_topic_score_codex":0.0000061946907,"about_ca_topic_score_gemma":0.000085379084,"teacher_disagreement_score":0.7052946,"about_ca_system_score_codex":0.000053242482,"about_ca_system_score_gemma":0.000029333938,"threshold_uncertainty_score":0.73563355},"labels":[],"label_agreement":null},{"id":"W2909365891","doi":"10.2514/6.2019-0269","title":"High Spatial Resolution 3D Fluid Velocimetry by Tomographic Particle Flow Velocimetry","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":3,"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 Toronto","funders":"","keywords":"Particle image velocimetry; Velocimetry; Particle tracking velocimetry; Flow visualization; Image resolution; Optics; Flow (mathematics); Mechanics; Physics; Turbulence","score_opus":0.0026946149931312727,"score_gpt":0.17448080827222306,"score_spread":0.17178619327909178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909365891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97228014,0.0021056235,0.020128673,0.00047763684,0.0027699426,0.0004916893,0.00020137907,0.0007503569,0.0007945549],"genre_scores_gemma":[0.99564576,0.00016510992,0.0026893823,0.00018514038,0.00012771554,0.000022197772,0.00020193557,0.00009165973,0.0008711012],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788046,0.000029447217,0.00039284932,0.00042699729,0.00042958857,0.0008406727],"domain_scores_gemma":[0.9990261,0.00005161134,0.000048054633,0.0006442314,0.00005999102,0.00016997106],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027200909,0.0003266792,0.0003240724,0.00020908321,0.000121373676,0.00009355757,0.00035501926,0.00027677979,0.0003723196],"category_scores_gemma":[0.000020438032,0.00033608207,0.0001486306,0.00069332705,0.00005579817,0.00031606577,0.0001176731,0.00033278394,0.0012794674],"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":[0.00019528026,0.00038415575,0.05338999,0.0003133206,0.0005910515,0.000028319264,0.00021055645,0.24340239,0.28773624,0.0061015813,0.32956317,0.07808394],"study_design_scores_gemma":[0.00091440935,0.0001482065,0.0037261334,0.00004218814,0.000028001443,0.000005938888,0.000014339822,0.96969396,0.007075386,0.00035136568,0.017478995,0.000521094],"about_ca_topic_score_codex":0.00028596746,"about_ca_topic_score_gemma":0.000039209757,"teacher_disagreement_score":0.72629154,"about_ca_system_score_codex":0.00011726523,"about_ca_system_score_gemma":0.000023270535,"threshold_uncertainty_score":0.9999091},"labels":[],"label_agreement":null},{"id":"W2909368852","doi":"10.2514/6.2019-1334","title":"Is the Problem with the Mesh, the Turbulence Model, or the Solver? Statistical Analysis of High Lift and Drag Prediction Workshop Data","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Air Traffic Management and Optimization","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":"University of British Columbia","funders":"","keywords":"Drag; Solver; Lift (data mining); Turbulence; Computer science; Computational fluid dynamics; Lift-to-drag ratio; Aerospace engineering; Mechanics; Physics; Engineering; Data mining","score_opus":0.011407552598861533,"score_gpt":0.21793636054478074,"score_spread":0.2065288079459192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909368852","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019523809,0.0002363882,0.9567537,0.0207005,0.00011818161,0.0013568414,0.0004076301,0.00015572514,0.00074724323],"genre_scores_gemma":[0.9948616,0.0003204482,0.0026248554,0.0004452363,0.000024793015,0.000029720142,0.00014641785,0.000020910227,0.0015259951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899364,0.00003347832,0.00018584465,0.0002353202,0.0003249495,0.0002267916],"domain_scores_gemma":[0.9985824,0.00028451032,0.000070496164,0.0009980792,0.000042496817,0.000022017462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004737032,0.00014102363,0.0001542241,0.000058676447,0.00020007238,0.00011196805,0.00072691095,0.000052560365,0.000090726426],"category_scores_gemma":[0.000012646307,0.00004727027,0.000029116733,0.0006781436,0.00016130948,0.0002566839,0.00023486422,0.00019187237,0.000006747293],"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":[0.00003629199,0.000009480941,0.0007500095,0.000023159091,0.00047339837,1.9492894e-7,0.00058368396,0.9127113,0.0000040736463,0.0033369018,0.07867471,0.003396751],"study_design_scores_gemma":[0.00014604967,0.000035192934,0.0012908416,0.0000209342,0.0005658068,6.7188256e-7,0.0006530261,0.99313265,0.000007123364,0.00020253888,0.0038645933,0.00008057272],"about_ca_topic_score_codex":0.000033477863,"about_ca_topic_score_gemma":0.00023068472,"teacher_disagreement_score":0.9753378,"about_ca_system_score_codex":0.000012753463,"about_ca_system_score_gemma":0.000018109808,"threshold_uncertainty_score":0.19276257},"labels":[],"label_agreement":null},{"id":"W2909569543","doi":"10.2514/6.2019-0380","title":"Autonomy and Collaboration in a Network of Layered Sensors","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Autonomy; Computer science; Political science","score_opus":0.0036928105260554353,"score_gpt":0.20691460172210202,"score_spread":0.20322179119604658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909569543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911756,0.0005265429,0.0051978873,0.00017789964,0.0003222976,0.00030042854,0.0000067632736,0.00006363202,0.0022289827],"genre_scores_gemma":[0.99795365,0.000060170052,0.0014990089,0.00002761741,0.000018424342,0.0000050784256,0.0000043013156,0.000013552839,0.00041818735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942756,0.000010208851,0.00017453248,0.00011571489,0.00007547282,0.00019654038],"domain_scores_gemma":[0.99972767,0.00002386418,0.000026001788,0.00016473146,0.00002935462,0.00002838732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012459038,0.00008103469,0.00014345208,0.000052772408,0.000013033981,0.000017144652,0.000068987436,0.000068724345,0.000046200257],"category_scores_gemma":[0.000007082271,0.00007966541,0.000015980868,0.00026163782,0.000015451718,0.00011584542,0.000024273226,0.000074931246,0.000043974855],"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":[0.000019065306,0.000018356192,0.09094103,0.0001065674,0.000029913876,0.0000032318808,0.0006271833,0.8698161,0.01260983,0.009397223,0.0048757107,0.011555767],"study_design_scores_gemma":[0.0009991899,0.00024158889,0.026883595,0.00029219175,0.000013282731,0.00001084555,0.00079259486,0.86674756,0.03499265,0.0045221345,0.06376166,0.00074269675],"about_ca_topic_score_codex":0.000035007433,"about_ca_topic_score_gemma":0.00007245516,"teacher_disagreement_score":0.06405743,"about_ca_system_score_codex":0.000033290606,"about_ca_system_score_gemma":0.00002204983,"threshold_uncertainty_score":0.32486612},"labels":[],"label_agreement":null},{"id":"W2909576594","doi":"10.2514/6.2019-0432.c1","title":"Correction: New Algorithm for Fuel Flow Prediction and its Correction during the Cruise - Application on the Cessna Citation X Business Aircraft","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Aerospace and Aviation Technology","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 du Québec","funders":"","keywords":"Cruise; Flow (mathematics); Computer science; Citation; Algorithm; Aeronautics; Operations research; Engineering; Aerospace engineering; Mechanics; Library science; Physics","score_opus":0.004718569236529779,"score_gpt":0.19184685224733125,"score_spread":0.18712828301080148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909576594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18250124,0.0007583593,0.79335284,0.0076942616,0.010192176,0.0032780431,0.000068143214,0.0014972031,0.0006577307],"genre_scores_gemma":[0.99152404,0.0003091378,0.00043675743,0.00017268264,0.0003628702,0.00033416692,0.00007712807,0.000052143627,0.006731096],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999131,0.000014927797,0.00019231849,0.0002519596,0.00016725056,0.00024253449],"domain_scores_gemma":[0.9993325,0.00013533424,0.000084314044,0.00028677259,0.00012602886,0.000035067882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016091735,0.00016619841,0.00012467893,0.00012072876,0.00026732497,0.0000663474,0.00014901932,0.00017701932,0.00002250384],"category_scores_gemma":[0.000051352465,0.0001213875,0.000042135525,0.0005094134,0.000025486921,0.0003117647,0.000029589366,0.00021971962,0.00011492433],"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":[0.000116930074,0.00008374228,0.0053546173,0.0002625416,0.00015059063,4.9207716e-7,0.00085867476,0.086638324,0.029973334,0.0017564817,0.20955612,0.66524816],"study_design_scores_gemma":[0.0006471426,0.00010631528,0.017984163,0.00006236383,0.000027121469,0.000015647222,0.0004278244,0.9419808,0.011391528,0.00090492336,0.026241383,0.00021078817],"about_ca_topic_score_codex":0.00002694498,"about_ca_topic_score_gemma":0.000052046507,"teacher_disagreement_score":0.85534245,"about_ca_system_score_codex":0.00009275193,"about_ca_system_score_gemma":0.000019601397,"threshold_uncertainty_score":0.49500385},"labels":[],"label_agreement":null},{"id":"W2909582686","doi":"10.2514/6.2019-0006","title":"An Industry-Based Approach to Aircraft Design Education at the Pre-Collegiate Level","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Engineering Education and Curriculum Development","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":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Aeronautics; Engineering management; Engineering","score_opus":0.012926091979551366,"score_gpt":0.2356729517081994,"score_spread":0.22274685972864805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909582686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.602194,0.00029777506,0.37651855,0.0028473656,0.004419484,0.0030709505,0.00004069969,0.0010920612,0.0095190825],"genre_scores_gemma":[0.9613409,0.000003690489,0.023322782,0.00094900094,0.00008570873,0.00036308554,0.00007582871,0.00006722928,0.0137917735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988616,0.000029315519,0.00020193755,0.00027355086,0.00024215438,0.00039140717],"domain_scores_gemma":[0.99912655,0.00003112609,0.000029254834,0.00057798094,0.000060778715,0.00017431552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002838523,0.00021049552,0.00013712149,0.00015630657,0.00010106201,0.00007419043,0.0003873968,0.00019005299,0.00016294599],"category_scores_gemma":[0.000014409163,0.00017087783,0.000041334733,0.0004852105,0.0000143463485,0.00014873694,0.000036353962,0.0002848003,0.0007234909],"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":[0.00000900551,0.0001503381,0.0025411304,0.000048606114,0.000024966,1.0444693e-7,0.0005323692,0.7518464,0.003733219,0.00043693438,0.23657385,0.004103119],"study_design_scores_gemma":[0.0012855645,0.0003138688,0.100572705,0.0002463663,0.000052025225,0.000028646247,0.0018315905,0.37428793,0.03488634,0.00022322449,0.48414886,0.0021228786],"about_ca_topic_score_codex":0.000025194086,"about_ca_topic_score_gemma":0.0000074699105,"teacher_disagreement_score":0.37755844,"about_ca_system_score_codex":0.00028042943,"about_ca_system_score_gemma":0.00022488147,"threshold_uncertainty_score":0.9299253},"labels":[],"label_agreement":null},{"id":"W2909639229","doi":"10.2514/6.2019-1797","title":"Parametric Study on the Velocity Sampling Techniques for the Actuator Line Method in 2D","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":5,"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":"Actuator; Parametric statistics; Sampling (signal processing); Line (geometry); Control theory (sociology); Computer science; Acoustics; Physics; Mathematics; Optics; Geometry; Statistics; Artificial intelligence","score_opus":0.047019368666926076,"score_gpt":0.3637416747027799,"score_spread":0.31672230603585383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909639229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9429546,0.0002213341,0.04620766,0.0017387636,0.0011324162,0.0061623747,0.00003124427,0.0013947196,0.00015691486],"genre_scores_gemma":[0.95471084,0.000046680587,0.044037245,0.00025075366,0.00015460695,0.00066578976,0.0000028593224,0.00006805342,0.000063188054],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982966,0.00007592686,0.00039440714,0.00032888932,0.00030800214,0.00059617765],"domain_scores_gemma":[0.9963796,0.0025613096,0.00008121322,0.00085859746,0.00006750591,0.000051773917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016848674,0.00027477776,0.0003115063,0.00030488684,0.00017081178,0.000069289075,0.00074172555,0.0001700246,0.000014164868],"category_scores_gemma":[0.00031493287,0.00016200353,0.00009630112,0.0008709948,0.000028111734,0.00012140135,0.00012521388,0.0006106851,0.000028429811],"study_design_candidate":"design_other","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":[0.00026480976,0.00023691455,0.035470426,0.0003105619,0.000232908,0.000003520944,0.001465968,0.003491276,0.005753863,0.005803614,0.0137840975,0.93318206],"study_design_scores_gemma":[0.0029957963,0.005464501,0.37009412,0.000924761,0.00018144144,0.00002752764,0.0062872693,0.15711428,0.31005794,0.04562128,0.098233946,0.0029971367],"about_ca_topic_score_codex":0.00017592598,"about_ca_topic_score_gemma":0.000026078307,"teacher_disagreement_score":0.9301849,"about_ca_system_score_codex":0.0002503775,"about_ca_system_score_gemma":0.000027921298,"threshold_uncertainty_score":0.66063124},"labels":[],"label_agreement":null},{"id":"W2909691872","doi":"10.2514/6.2019-1116","title":"Measurement of Aeroelastic Wing Deflections Using Modal Shapes and Strain Pattern Analysis","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":5,"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 Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Embraer","keywords":"Aeroelasticity; Wing; Modal; Structural engineering; Modal analysis; Computer science; Finite element method; Engineering; Materials science; Aerodynamics; Aerospace engineering; Composite material","score_opus":0.02283465253370448,"score_gpt":0.27504549883266666,"score_spread":0.2522108462989622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909691872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.944038,0.00023975201,0.054836404,0.000034818622,0.0002694961,0.0002247015,0.000025720741,0.0002680523,0.00006309438],"genre_scores_gemma":[0.99620044,0.00001803788,0.0036900532,0.000011863811,0.000037191672,0.0000067785086,0.0000025168413,0.00002579367,0.0000073235456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988919,0.000017535784,0.00027177262,0.00019368013,0.00029476068,0.0003303331],"domain_scores_gemma":[0.999565,0.000029721714,0.000056978482,0.00020154081,0.00007707645,0.000069694324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020003864,0.00015305796,0.00026076194,0.00035593202,0.00006538886,0.000024935185,0.000121006575,0.000089272464,0.00002256925],"category_scores_gemma":[0.000014867134,0.00015292976,0.000077538374,0.000489208,0.00002581637,0.00014987729,0.000050894407,0.00015115405,0.0000043045343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001735866,0.00002677507,0.46265754,0.00069812377,0.0009973241,0.000002743752,0.00034143822,0.103542365,0.3360849,0.00017038677,0.00020044603,0.09526059],"study_design_scores_gemma":[0.00039586297,0.0001787429,0.4996934,0.00035973956,0.00040897995,0.000014763105,0.0001905565,0.47408006,0.023118904,0.0009105356,0.00011222836,0.0005362459],"about_ca_topic_score_codex":0.0003873315,"about_ca_topic_score_gemma":0.0001262382,"teacher_disagreement_score":0.37053767,"about_ca_system_score_codex":0.0001671829,"about_ca_system_score_gemma":0.000019681635,"threshold_uncertainty_score":0.62362945},"labels":[],"label_agreement":null},{"id":"W2909696360","doi":"10.2514/6.2019-0391","title":"Improvement of Decentralized Flocking Flight Efficiency of Fixed-Wing UAVs Using Inactive Agents","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"Agency for Defense Development","keywords":"Flocking (texture); Fixed wing; Computer science; Wing; Aerospace engineering; Control theory (sociology); Aeronautics; Engineering; Artificial intelligence; Physics","score_opus":0.011424346293660025,"score_gpt":0.2527939399224396,"score_spread":0.24136959362877958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909696360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69913846,0.0002046124,0.2976542,0.00014367492,0.0013315035,0.000980988,0.000039780836,0.00008644267,0.00042029677],"genre_scores_gemma":[0.9956628,0.000008197207,0.004058357,0.000077925724,0.000021299697,0.000010918701,0.00000926257,0.000021261945,0.00012995214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968535,0.000082889084,0.000824414,0.00062120665,0.00082599086,0.0007920104],"domain_scores_gemma":[0.99763185,0.00011715949,0.0007491066,0.0010833966,0.00029388868,0.00012462234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00064092723,0.00028812213,0.00059272326,0.00031093616,0.00010754235,0.000086421736,0.0014672375,0.0001344535,0.000021810658],"category_scores_gemma":[0.00007502064,0.00026759203,0.00023044208,0.0008406928,0.000060764753,0.00074339384,0.00059099135,0.00015730066,0.00004367327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005580532,0.00035398162,0.022150284,0.00018505717,0.00020289309,0.000008233698,0.00086125557,0.0026957945,0.9560437,0.0069018635,0.0004722197,0.010068907],"study_design_scores_gemma":[0.0047671474,0.000585736,0.004299873,0.00073340617,0.00006637663,0.000012749983,0.0006223751,0.40447634,0.58085203,0.00052931247,0.002306128,0.0007484987],"about_ca_topic_score_codex":0.00038696622,"about_ca_topic_score_gemma":0.000008573073,"teacher_disagreement_score":0.40178055,"about_ca_system_score_codex":0.00025768706,"about_ca_system_score_gemma":0.00016279,"threshold_uncertainty_score":0.99997765},"labels":[],"label_agreement":null},{"id":"W2909838564","doi":"10.2514/6.2019-0173","title":"Lockheed Martin Overview of the AFRL EXPEDITE Program","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"Air Force Research Laboratory","keywords":"Computer science; Systems engineering; Engineering","score_opus":0.012192911073662048,"score_gpt":0.2542497295439433,"score_spread":0.24205681847028127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909838564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97297996,0.0007716738,0.0007143157,0.0036564006,0.000745386,0.0021213414,0.000018132707,0.00059678964,0.018395972],"genre_scores_gemma":[0.9906495,0.000054728822,0.0026336242,0.00028568684,0.000012405087,0.0000495058,0.000002158523,0.000018775467,0.0062935846],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987267,0.000024423238,0.00021699406,0.00029193505,0.00034336356,0.00039655392],"domain_scores_gemma":[0.9990426,0.00003124416,0.00014456398,0.000734442,0.000009101622,0.00003807571],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014838939,0.00014824398,0.00017485867,0.000030679817,0.00007231743,0.000015655782,0.00067769235,0.00010779526,0.0008041876],"category_scores_gemma":[0.00004175746,0.00009682962,0.00011054087,0.00047895324,0.00028773677,0.00022931439,0.0006156029,0.00016370889,0.0011469824],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003503678,0.00030502662,0.5439799,0.00005979453,0.000025703092,0.000003220466,0.00013623336,0.000298336,0.09132822,0.003361689,0.06270017,0.2977667],"study_design_scores_gemma":[0.0011384519,0.00070081954,0.09875256,0.0002072404,0.000029183526,0.000017565473,0.0006240688,0.001446885,0.1236396,0.032555137,0.74013144,0.00075705023],"about_ca_topic_score_codex":0.00004281592,"about_ca_topic_score_gemma":0.000025779804,"teacher_disagreement_score":0.6774313,"about_ca_system_score_codex":0.000055687204,"about_ca_system_score_gemma":0.000009154861,"threshold_uncertainty_score":0.99963075},"labels":[],"label_agreement":null},{"id":"W2909897635","doi":"10.2514/6.2019-1627","title":"Computational Simulation of 3-D Riblets for Skin Friction Drag Reduction","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"Air Force Research Laboratory","keywords":"Drag; Reduction (mathematics); Parasitic drag; Computer science; Materials science; Mechanics; Physics; Mathematics; Geometry","score_opus":0.006321541179762225,"score_gpt":0.24217837970338754,"score_spread":0.23585683852362532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909897635","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25847742,0.00008522812,0.7395267,0.00031041267,0.00057393307,0.000323665,0.000027960648,0.00007741251,0.00059730763],"genre_scores_gemma":[0.99144024,0.000006233742,0.0058132126,0.000025409816,0.000058471727,0.00001636042,0.000105064966,0.000014972775,0.002520041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926805,0.00000849606,0.00022973517,0.00018447971,0.000122316,0.00018690561],"domain_scores_gemma":[0.9994625,0.00015539589,0.00009024959,0.00012823686,0.00014243978,0.00002122003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113237424,0.00009782449,0.00016119264,0.00010953599,0.00007324035,0.000005583335,0.000076072116,0.00012579109,0.00003544777],"category_scores_gemma":[0.00004707498,0.00009905894,0.000082690414,0.00014969264,0.000035805853,0.0001532966,0.000035468503,0.000086490945,0.00005613224],"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":[0.000056165936,0.00003099111,0.0014311179,0.000041322783,0.000047150766,5.211759e-8,0.0000924788,0.9177955,0.04683836,0.031960573,0.00082860095,0.0008777079],"study_design_scores_gemma":[0.00051966833,0.0000789843,0.0010614876,0.000020915082,0.0000137972165,0.0000020500836,0.00006222224,0.9878431,0.0044086054,0.0053986902,0.0004824543,0.00010805062],"about_ca_topic_score_codex":0.000012024108,"about_ca_topic_score_gemma":0.0000013535108,"teacher_disagreement_score":0.73371345,"about_ca_system_score_codex":0.000044143206,"about_ca_system_score_gemma":0.000010498378,"threshold_uncertainty_score":0.40395063},"labels":[],"label_agreement":null},{"id":"W2909955090","doi":"10.2514/6.2019-0382","title":"Stigmergic Collaboration in a Network of Angle-Only Sensors","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Target Tracking and Data Fusion in Sensor Networks","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":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Human–computer interaction","score_opus":0.005489130034323945,"score_gpt":0.23368852900516335,"score_spread":0.2281993989708394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909955090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94558674,0.0009897541,0.04231125,0.0028452165,0.003274727,0.00077290676,0.00004439316,0.00032381347,0.0038511734],"genre_scores_gemma":[0.9771347,0.000056542518,0.021456316,0.00032780573,0.000087099725,0.000005576393,0.000028137963,0.000016334536,0.00088748516],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811846,0.00009301959,0.00042511747,0.00046584138,0.0003776406,0.000519945],"domain_scores_gemma":[0.9985039,0.00016227823,0.00020031846,0.00090451573,0.00015051838,0.000078439036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048358005,0.00016924735,0.00028489664,0.00015205336,0.00006717992,0.0000987717,0.00077524397,0.00015523427,0.00005514479],"category_scores_gemma":[0.00004099726,0.00016018708,0.00006209861,0.001760585,0.00004556996,0.0006155492,0.0002764697,0.00021114953,0.00024478053],"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":[0.00012026009,0.0002772178,0.3917159,0.00007924601,0.000053820644,0.000042649543,0.0009790859,0.14127856,0.0037218998,0.21812187,0.20235889,0.041250587],"study_design_scores_gemma":[0.0049200472,0.0012642217,0.067069724,0.00097464165,0.000033400556,0.00011839552,0.00084613333,0.5832373,0.0046249013,0.03194914,0.30286106,0.0021010425],"about_ca_topic_score_codex":0.00007556318,"about_ca_topic_score_gemma":0.00011305383,"teacher_disagreement_score":0.44195873,"about_ca_system_score_codex":0.000042772263,"about_ca_system_score_gemma":0.00013066272,"threshold_uncertainty_score":0.65322393},"labels":[],"label_agreement":null},{"id":"W2909994237","doi":"10.2514/6.2019-1369","title":"Preparation for a Wind Tunnel Demonstration of a Pure-Electric, Swashplateless Individual Blade Control System for a High Speed Rotor","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","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":"Lockheed Martin (Canada)","funders":"","keywords":"Blade (archaeology); Rotor (electric); Wind tunnel; Wind speed; Aerospace engineering; Engineering; Automotive engineering; Marine engineering; Mechanical engineering; Control theory (sociology); Computer science; Electrical engineering; Physics; Control (management); Meteorology; Artificial intelligence","score_opus":0.006397006266184071,"score_gpt":0.22443417673517985,"score_spread":0.2180371704689958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909994237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79343945,0.00021187784,0.19439062,0.00012999933,0.00094353344,0.009434282,0.00040117325,0.00040775852,0.00064128265],"genre_scores_gemma":[0.9986708,0.000001984778,0.0003552817,0.000024044759,0.00016358495,0.00027353963,0.00015752917,0.00005654331,0.0002966472],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982176,0.000037868474,0.000675836,0.00030230824,0.0003100503,0.00045635545],"domain_scores_gemma":[0.99890053,0.00022875445,0.0002544744,0.0003182178,0.00021575922,0.00008226572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047539864,0.00024924485,0.0005303025,0.00023429297,0.00007794324,0.000107539476,0.00021696999,0.00026535548,0.000011542744],"category_scores_gemma":[0.000029251676,0.00024114606,0.00018086546,0.00023116368,0.000013267474,0.0004034073,0.000010949539,0.0000925271,0.000042846616],"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":[0.0015594711,0.00011348022,0.003230151,0.0015768199,0.0008695816,0.0000010067881,0.00045917658,0.2943378,0.6688291,0.018517524,0.0046449443,0.0058609573],"study_design_scores_gemma":[0.009789164,0.00081042637,0.0022218304,0.00018644633,0.00016725402,0.000011894148,0.0003548459,0.944669,0.03961638,0.00041252683,0.0012805939,0.0004796577],"about_ca_topic_score_codex":0.000028269118,"about_ca_topic_score_gemma":0.000026635596,"teacher_disagreement_score":0.6503312,"about_ca_system_score_codex":0.00011473923,"about_ca_system_score_gemma":0.00006636841,"threshold_uncertainty_score":0.9833651},"labels":[],"label_agreement":null},{"id":"W2910044891","doi":"10.2514/6.2019-0467","title":"Simultaneous Neutron Radiography of Metal Nozzle Geometry and Near-Field Spray","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University","keywords":"Neutron imaging; Nozzle; Materials science; Neutron; Field (mathematics); Radiography; Nuclear engineering; Nuclear physics; Physics; Mechanical engineering; Engineering; Mathematics","score_opus":0.0028477823773447137,"score_gpt":0.21377053833030016,"score_spread":0.21092275595295545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910044891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992848,0.00009158877,0.000802152,0.00043242174,0.000106256884,0.00028934784,0.00007219368,0.000026355414,0.0053317044],"genre_scores_gemma":[0.99835604,0.0000049865976,0.0006882811,0.00010236369,0.00006430312,0.000008224105,0.000022853948,0.000022689563,0.00073025556],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916,0.000010373206,0.00018005914,0.0002515563,0.00013412657,0.00026392055],"domain_scores_gemma":[0.99928063,0.00012157206,0.0001109928,0.00036905133,0.00004604084,0.000071727554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070556795,0.00013679342,0.0002239997,0.00008267086,0.000093287475,0.000047702397,0.00017798407,0.000044555916,0.00028195188],"category_scores_gemma":[0.0000022985082,0.00012751702,0.00014195226,0.0003391063,0.00006337424,0.0001267698,0.000100407764,0.00014748494,0.00015243625],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073692565,0.00064785883,0.26942545,0.00007183891,0.0004684635,0.0000015821255,0.00023391102,0.0006003128,0.30282557,0.3016079,0.01026995,0.11377346],"study_design_scores_gemma":[0.00562319,0.002266218,0.033764932,0.0001977469,0.00047459468,0.00001193301,0.0024029047,0.01642574,0.20724025,0.07337074,0.6554293,0.002792468],"about_ca_topic_score_codex":0.00020249831,"about_ca_topic_score_gemma":0.0000017253881,"teacher_disagreement_score":0.6451593,"about_ca_system_score_codex":0.0000039254533,"about_ca_system_score_gemma":0.000019056048,"threshold_uncertainty_score":0.5199993},"labels":[],"label_agreement":null},{"id":"W2910045267","doi":"10.2514/6.2019-0185","title":"Analysis of The Chemical States of A Bluff-body Stabilized Premixed Flame Near Blowoff","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Air Force Office of Scientific Research; American Chemical Society Petroleum Research Fund; Egg Farmers of Canada; Computational Diagnostics","keywords":"Bluff; Mechanics; Premixed flame; Materials science; Physics; Combustion; Chemistry; Combustor; Physical chemistry","score_opus":0.0021550107851500545,"score_gpt":0.18495569310198745,"score_spread":0.1828006823168374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910045267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975712,0.00007849548,0.0010403879,0.00012752032,0.00021476366,0.00026473706,0.000102266706,0.00009635569,0.0005043056],"genre_scores_gemma":[0.9991499,0.000026555832,0.0003525749,0.000025183379,0.0000060612956,0.0000053734034,0.000044773067,0.000023417751,0.0003661423],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888396,0.00002277261,0.0003768646,0.00017383318,0.0002748263,0.00026772675],"domain_scores_gemma":[0.99900806,0.00010194987,0.00009681182,0.000652708,0.00009116141,0.000049338305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018080501,0.00014856044,0.0003989502,0.0001520652,0.000022679733,0.000017559054,0.0003623158,0.00011109363,0.00028708094],"category_scores_gemma":[0.00004084895,0.00011544716,0.00029100437,0.0010603768,0.00010360581,0.00007681299,0.00012157425,0.00017580045,0.000027210092],"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":[0.00012553814,0.00020132655,0.19129595,0.00033719427,0.0020643456,7.888568e-7,0.0010939437,0.2279973,0.5690984,0.0024078272,0.0024352106,0.0029421586],"study_design_scores_gemma":[0.0005685025,0.000034607554,0.010354348,0.00003906679,0.00030441332,5.779587e-7,0.00016748456,0.95166546,0.03500254,0.00022071462,0.0014528475,0.00018941845],"about_ca_topic_score_codex":0.00003582335,"about_ca_topic_score_gemma":0.00002887449,"teacher_disagreement_score":0.72366816,"about_ca_system_score_codex":0.000048739923,"about_ca_system_score_gemma":0.00002959666,"threshold_uncertainty_score":0.47077987},"labels":[],"label_agreement":null},{"id":"W2910192429","doi":"10.2514/6.2019-2048","title":"Structural Development and Multiscale Design Optimization of Additively Manufactured UAV with Blended Wing Body Configuration Employing Lattice Materials","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Wing; Lattice (music); Computer science; Materials science; Mechanical engineering; Engineering drawing; Structural engineering; Engineering; Physics; Acoustics","score_opus":0.011192713741589203,"score_gpt":0.20474777190411794,"score_spread":0.19355505816252874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910192429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87248635,0.00003394462,0.12620202,0.000048857997,0.00014603364,0.00044526215,0.000032989996,0.0004762855,0.00012826824],"genre_scores_gemma":[0.9128787,0.000009494221,0.0868629,0.000010919197,0.000012079162,0.000019119294,0.00006937311,0.000036186306,0.00010125418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989752,0.000028246912,0.0002726628,0.00025173408,0.00017039763,0.00030175725],"domain_scores_gemma":[0.9994918,0.00009909714,0.00012143861,0.00019513104,0.00005880651,0.000033707736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014951701,0.000226503,0.00026204097,0.00015216299,0.00010101973,0.00006337327,0.00014111241,0.00013280359,0.00010073016],"category_scores_gemma":[0.000030488663,0.00019200232,0.000017548487,0.00008932544,0.00006267182,0.0002920547,0.00006896083,0.00012760407,0.000014295097],"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":[0.0003331698,0.00003747886,0.0036639622,0.0007521792,0.0005769539,0.000014821983,0.0018814212,0.5623624,0.36959177,0.0011039306,0.0010209818,0.05866093],"study_design_scores_gemma":[0.0005031216,0.000078441735,0.0109923165,0.00016632253,0.000017339118,0.000009083321,0.00029512277,0.011905301,0.9754502,0.00012693398,0.00017111783,0.00028465485],"about_ca_topic_score_codex":0.000011795019,"about_ca_topic_score_gemma":0.0000028134662,"teacher_disagreement_score":0.60585845,"about_ca_system_score_codex":0.000046759036,"about_ca_system_score_gemma":0.000022521624,"threshold_uncertainty_score":0.78296274},"labels":[],"label_agreement":null},{"id":"W2910240344","doi":"10.2514/6.2019-2222","title":"The Mosaic CGNS Dataflow Platform","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","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":"Safran Electronics (Canada)","funders":"","keywords":"Dataflow; Mosaic; Computer science; Embedded system; Programming language; History","score_opus":0.009831651047282952,"score_gpt":0.23982602145164225,"score_spread":0.2299943704043593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910240344","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003435441,0.00037317973,0.9799397,0.00438553,0.0011268598,0.00041617133,0.000009879853,0.0011378037,0.009175458],"genre_scores_gemma":[0.72784704,0.00043262544,0.23667285,0.003973438,0.0001860135,0.00005090568,0.00007806819,0.000063716725,0.030695312],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984728,0.000028773371,0.00024179814,0.00040131845,0.00033661904,0.00051868387],"domain_scores_gemma":[0.9981802,0.0001603431,0.000117306845,0.0013814465,0.00008154327,0.00007916288],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053109997,0.00016001958,0.00014399625,0.000092523806,0.00038190503,0.00040933772,0.002197114,0.000088252615,0.000017707564],"category_scores_gemma":[0.000036068857,0.00011125672,0.0000748915,0.00046082248,0.000053263662,0.00067106896,0.00074560964,0.0002064773,0.00092946726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015227704,0.00006542961,0.0034588922,0.000014566032,0.000041873314,0.000005213023,0.00028106244,0.0031547337,0.00047516503,0.30983365,0.57277566,0.10987851],"study_design_scores_gemma":[0.00039453196,0.00018821123,0.00034490624,0.000040464147,0.0000037916802,0.00002514979,0.000059335496,0.44840539,0.0034235928,0.023559622,0.5231356,0.00041940348],"about_ca_topic_score_codex":0.000027447855,"about_ca_topic_score_gemma":0.000008715424,"teacher_disagreement_score":0.7432668,"about_ca_system_score_codex":0.000039594303,"about_ca_system_score_gemma":0.00007192572,"threshold_uncertainty_score":0.9998484},"labels":[],"label_agreement":null},{"id":"W2910310223","doi":"10.2514/6.2019-0163","title":"Evaluation of the fire resistance of protected carbon/epoxy laminates in small-scale experiments","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Material Selection and Properties","field":"Materials Science","cited_by":5,"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":"National Science Council; Natural Sciences and Engineering Research Council of Canada; National Science and Technology Council; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Epoxy; Fire resistance; Scale (ratio); Carbon fibers; Materials science; Resistance (ecology); Environmental science; Composite material; Computer science; Forensic engineering; Engineering; Physics; Composite number; Ecology","score_opus":0.01979087301626317,"score_gpt":0.25162756430957683,"score_spread":0.23183669129331366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910310223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99558926,0.0003263252,0.00000263214,0.000194206,0.00050768105,0.00091221544,0.0000101929645,0.000021785461,0.0024357091],"genre_scores_gemma":[0.99751866,0.000004676285,0.00014495391,0.000023130493,0.000010217273,0.000067805115,0.0000016189985,0.000009840938,0.002219118],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859804,0.0002514875,0.00030849705,0.00019700905,0.00044643352,0.00019853842],"domain_scores_gemma":[0.99916,0.00001777835,0.00020636854,0.00034516677,0.00025341782,0.000017254446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010975342,0.00009572302,0.00017713025,0.000051758256,0.000040039813,0.000019175395,0.00027757208,0.000075551456,0.00043879045],"category_scores_gemma":[0.00009499556,0.00006538259,0.000034564724,0.0002741383,0.00007815052,0.000089850495,0.00009156311,0.000055721062,0.00002148699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057115725,0.000037779835,0.0045044096,0.000048859798,0.0000030112424,3.88394e-8,0.00036703405,0.000034793156,0.99450445,0.00007481144,0.00009585377,0.00027181787],"study_design_scores_gemma":[0.0004480554,0.00006613523,0.010775322,0.00014406089,0.000008610531,4.4588424e-7,0.00022159553,0.0005852509,0.98674387,0.00058424775,0.0003382023,0.00008421501],"about_ca_topic_score_codex":0.0008284758,"about_ca_topic_score_gemma":0.00072070165,"teacher_disagreement_score":0.007760616,"about_ca_system_score_codex":0.000065440974,"about_ca_system_score_gemma":0.00009625265,"threshold_uncertainty_score":0.48044476},"labels":[],"label_agreement":null},{"id":"W2910317638","doi":"10.2514/6.2019-0012","title":"An Observability Based Approach to Flight Path Reconstruction of Uninformative Coupled Aircraft Trajectories: A Case Study Considering Stall Maneuvers for Aircraft Certification","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":4,"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 Toronto","funders":"Federal Aviation Administration","keywords":"Observability; Stall (fluid mechanics); Aerospace engineering; Aeronautics; Computer science; Control theory (sociology); Certification; Flight simulator; Engineering; Artificial intelligence; Mathematics","score_opus":0.01589211188903095,"score_gpt":0.23607449442626693,"score_spread":0.220182382537236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910317638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85163456,0.000010422415,0.14505725,0.0001044851,0.00028957851,0.0022991686,0.00008324624,0.00044728082,0.00007398944],"genre_scores_gemma":[0.98610413,0.0000017978117,0.013470593,0.000040704002,0.000013633058,0.000231213,0.000066131375,0.00003772661,0.00003404207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854064,0.000033033924,0.0005150274,0.0003563858,0.00018951805,0.000365421],"domain_scores_gemma":[0.9987571,0.00010047684,0.0001433908,0.0006840272,0.00021685338,0.0000981038],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003801019,0.0002403119,0.00036968593,0.00023342064,0.00010798488,0.000034241577,0.00021013593,0.00019212117,0.000020392288],"category_scores_gemma":[0.000052606167,0.00024637423,0.00008243208,0.00045702944,0.000063015206,0.0005915191,0.000029426272,0.00017330889,0.000015172329],"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":[0.0006653205,0.0019268285,0.25294226,0.0022685663,0.00062708365,0.00002926078,0.025222281,0.4735368,0.21660174,0.002420118,0.002582158,0.021177592],"study_design_scores_gemma":[0.0033443563,0.001912821,0.004943582,0.00008018089,0.0000950687,0.000117377924,0.084011026,0.85880643,0.044585206,0.00032777785,0.00087262766,0.0009035233],"about_ca_topic_score_codex":0.00019022253,"about_ca_topic_score_gemma":0.0001738871,"teacher_disagreement_score":0.38526967,"about_ca_system_score_codex":0.00018031089,"about_ca_system_score_gemma":0.00006419242,"threshold_uncertainty_score":0.99999887},"labels":[],"label_agreement":null},{"id":"W2910323069","doi":"10.2514/6.2019-0951","title":"Probabilistic Flight Envelope Estimation with Application to Unstable Over-Actuated Aircraft","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Flight envelope; Envelope (radar); Probabilistic logic; Aerospace engineering; Computer science; Aeronautics; Estimation; Flight safety; Control theory (sociology); Engineering; Aerodynamics; Artificial intelligence; Radar; Systems engineering","score_opus":0.002197291388925459,"score_gpt":0.1889834989999988,"score_spread":0.18678620761107334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910323069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51027876,0.00005172204,0.48249522,0.0018633242,0.000208772,0.0015246978,0.0000212666,0.0015763585,0.0019798852],"genre_scores_gemma":[0.9899839,0.0000072617527,0.008228148,0.00017970122,0.0000148679,0.0001347493,0.00007642043,0.000045592486,0.0013293384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990014,0.0000059242807,0.00018576665,0.00027038564,0.00018069336,0.00035582483],"domain_scores_gemma":[0.999353,0.00002323296,0.000046508798,0.00044652633,0.00006162425,0.00006908735],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000084837,0.00017539694,0.00017917663,0.00015555669,0.000057767043,0.000038544356,0.00019905923,0.00014402722,0.00009817639],"category_scores_gemma":[0.000017852924,0.00015720417,0.000023061442,0.0005997989,0.00002314178,0.00027303945,0.000042935237,0.00013815347,0.0018139296],"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":[0.000112964866,0.00016218105,0.034425046,0.00038415662,0.00016143102,0.0000045176535,0.00054155814,0.59370357,0.182788,0.03038019,0.06649816,0.09083825],"study_design_scores_gemma":[0.0021743816,0.00088332285,0.018582854,0.00024782302,0.00006817922,0.000024849718,0.00024152437,0.64226747,0.137146,0.0076781334,0.1888991,0.0017863458],"about_ca_topic_score_codex":0.000029339299,"about_ca_topic_score_gemma":0.000059407244,"teacher_disagreement_score":0.47970515,"about_ca_system_score_codex":0.0001258066,"about_ca_system_score_gemma":0.000027944716,"threshold_uncertainty_score":0.9989633},"labels":[],"label_agreement":null},{"id":"W2910367618","doi":"10.2514/6.2019-0583","title":"Wake Modelling with Embedded Lateral and Directional Stability Sensitivity Analysis for Aerial Refuelling or Formation Flight","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Wake; Sensitivity (control systems); Aerospace engineering; Stability (learning theory); Computer science; Engineering; Electronic engineering","score_opus":0.008000437714739284,"score_gpt":0.18463021736699595,"score_spread":0.17662977965225665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910367618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49206397,0.000046771554,0.5069919,0.00004312966,0.00023317046,0.0003059227,0.000040404175,0.00020396757,0.00007073832],"genre_scores_gemma":[0.9948103,0.000010702007,0.004643397,0.000009549088,0.000106105195,0.000041534135,0.000055575747,0.000032957727,0.00028991318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893874,0.000022428076,0.00023984868,0.00025608,0.0001813424,0.00036155863],"domain_scores_gemma":[0.9994487,0.00010803545,0.000051301864,0.00023824172,0.00007888427,0.00007481211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003756367,0.00020284379,0.0003567928,0.00013398123,0.00009584373,0.00008556509,0.000050631126,0.00011483481,0.000012251003],"category_scores_gemma":[0.0000066926304,0.00015980279,0.00009520915,0.00029826167,0.000017278855,0.00040561176,0.000015632695,0.00012015786,0.000009032549],"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":[0.00018900151,0.000009396187,0.004125333,0.00013038197,0.00025553643,8.6225054e-7,0.0002545174,0.98537254,0.009259946,0.000119578486,0.00006767501,0.00021525768],"study_design_scores_gemma":[0.00072971696,0.00007602947,0.00034576908,0.000036240603,0.00010296999,0.000008709048,0.00011565599,0.9930321,0.00389081,0.000031980362,0.0013759839,0.00025402982],"about_ca_topic_score_codex":0.000042045755,"about_ca_topic_score_gemma":0.00018769008,"teacher_disagreement_score":0.5027463,"about_ca_system_score_codex":0.00008250928,"about_ca_system_score_gemma":0.000013326999,"threshold_uncertainty_score":0.65165687},"labels":[],"label_agreement":null},{"id":"W2910539417","doi":"10.2514/6.2019-2244","title":"Effect of inter-nozzle spacing on lean blowoff performance of a linear multi-nozzle combustor","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":3,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nozzle; Combustor; Materials science; Tuyere; Mechanics; Mechanical engineering; Combustion; Engineering; Physics; Metallurgy; Chemistry; Blast furnace","score_opus":0.004292148038976133,"score_gpt":0.2164008873598797,"score_spread":0.21210873932090357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910539417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942685,0.00006790044,0.0034102278,0.000030435558,0.0007673954,0.00037230403,0.00002794995,0.0001670894,0.0008882161],"genre_scores_gemma":[0.99785745,0.000035746456,0.0005837447,0.000025615069,0.00002340599,0.0000061557444,0.000015560943,0.000047938156,0.0014043809],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989505,0.000021400137,0.0003230643,0.0001917298,0.00019082708,0.00032248412],"domain_scores_gemma":[0.99920374,0.00011631663,0.00009046872,0.0004719627,0.000053424363,0.00006410281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030520602,0.00021667713,0.000383215,0.00023349415,0.00003540533,0.000008735744,0.0002513756,0.0001269115,0.00008299558],"category_scores_gemma":[0.000034375917,0.00019808255,0.00013761224,0.00024963357,0.000051356743,0.00012934956,0.00008140025,0.00028500395,0.00026609594],"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":[0.0011041462,0.0005342744,0.28051272,0.005005708,0.0004009674,0.000008586831,0.0011778869,0.4150619,0.1932872,0.0013586977,0.0069645084,0.09458342],"study_design_scores_gemma":[0.0015215812,0.0012477793,0.0015024967,0.0004204742,0.000022428017,0.0000034506547,0.000059700767,0.89556676,0.09781699,0.000004228785,0.0015694309,0.00026465458],"about_ca_topic_score_codex":0.000018719444,"about_ca_topic_score_gemma":0.000015984277,"teacher_disagreement_score":0.48050487,"about_ca_system_score_codex":0.00006290535,"about_ca_system_score_gemma":0.000012509372,"threshold_uncertainty_score":0.8077572},"labels":[],"label_agreement":null},{"id":"W2910547946","doi":"10.2514/6.2019-0504","title":"A Viable Approach to Formal Verification of Complex Aerospace Systems","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Real-time simulation and control systems","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":"Lockheed Martin (Canada)","funders":"","keywords":"Aerospace; Computer science; Formal verification; Formal methods; Systems engineering; Software engineering; Programming language; Engineering; Aerospace engineering","score_opus":0.008309656459877522,"score_gpt":0.2006290447138205,"score_spread":0.19231938825394299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910547946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39452958,0.0005988586,0.35427928,0.00024022309,0.0020651843,0.0045180423,0.000094135234,0.0009949565,0.24267973],"genre_scores_gemma":[0.9962041,0.0000034555703,0.0006882717,0.000033072767,0.000042721706,0.000053868513,0.00004368877,0.00003291911,0.002897907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882257,0.000020743586,0.00033973166,0.00018940176,0.00025975934,0.00036778406],"domain_scores_gemma":[0.999258,0.000024583043,0.00007311552,0.00047008222,0.00008229052,0.00009197609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025508774,0.00014829208,0.00029945717,0.00013440692,0.000040305764,0.00006450878,0.0002214876,0.00009975497,0.00003258022],"category_scores_gemma":[0.0000071152917,0.00014156183,0.0000672885,0.0003074228,0.00001164241,0.0003359662,0.00003257224,0.00007696687,0.00065940956],"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":[0.000043038577,0.000053830077,0.0036390652,0.00040228403,0.000078242105,1.6889604e-7,0.00029299554,0.8017072,0.15491137,0.016156511,0.021178363,0.0015369265],"study_design_scores_gemma":[0.00076368096,0.000080471524,0.0027134644,0.00005475137,0.000009351414,0.000004699689,0.00050853775,0.93131787,0.0012246261,0.000020642501,0.06305197,0.00024994498],"about_ca_topic_score_codex":0.00012529973,"about_ca_topic_score_gemma":0.0000025872419,"teacher_disagreement_score":0.6016745,"about_ca_system_score_codex":0.000060818194,"about_ca_system_score_gemma":0.000013571572,"threshold_uncertainty_score":0.8475596},"labels":[],"label_agreement":null},{"id":"W2910656066","doi":"10.2514/6.2019-1114","title":"Characterization of Magneto-Mechanical Properties and Quasi-Static Physical Modelling of MR Elastomers","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Elastomer; Characterization (materials science); Magneto; Materials science; Composite material; Mechanical engineering; Nanotechnology; Magnet; Engineering","score_opus":0.012782716819386404,"score_gpt":0.1842967591186469,"score_spread":0.1715140422992605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910656066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89495856,0.00007748006,0.10432862,0.00013137415,0.000114733746,0.00020453139,0.000014051186,0.00006012595,0.000110551286],"genre_scores_gemma":[0.9991854,0.00005830164,0.00046568445,0.00003132622,0.000020321057,0.000007323687,0.000011768455,0.000014609339,0.00020525805],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993144,0.000016338563,0.00022839737,0.00012721757,0.00014286936,0.00017073484],"domain_scores_gemma":[0.999717,0.000029089968,0.000040682247,0.0001277234,0.000045746077,0.00003973275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007670437,0.00010654568,0.00025000004,0.00006614746,0.000018331699,0.000010293343,0.000082735656,0.00007345049,0.000030113977],"category_scores_gemma":[0.000008943423,0.00008090431,0.000047231963,0.00011565984,0.000046781955,0.00019130258,0.00003302838,0.00008576367,0.000024125533],"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":[0.000028294642,0.00003593096,0.00021811738,0.0001200559,0.000018966459,1.4664943e-7,0.00011807891,0.016465053,0.97683173,0.0039874623,0.000014550376,0.0021615974],"study_design_scores_gemma":[0.00030542782,0.00026383935,0.00019371178,0.00004823688,0.00001156756,9.989433e-7,0.00005096669,0.896082,0.102404304,0.0004300874,0.00010343126,0.00010544257],"about_ca_topic_score_codex":0.0000054370694,"about_ca_topic_score_gemma":6.661086e-7,"teacher_disagreement_score":0.8796169,"about_ca_system_score_codex":0.000008386455,"about_ca_system_score_gemma":0.000009193064,"threshold_uncertainty_score":0.3299182},"labels":[],"label_agreement":null},{"id":"W2910673135","doi":"10.2514/6.2019-1522","title":"Reducing Stress Concentration in the Transition Region of Coilable Ultra-Thin-Shell Booms","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Air Force Research Laboratory; Keck Institute for Space Studies; Natural Sciences and Engineering Research Council of Canada; California Institute of Technology","keywords":"Boom; Stress (linguistics); Shell (structure); Materials science; Composite material; Geology; Oceanography","score_opus":0.004972906756741413,"score_gpt":0.18582190005101895,"score_spread":0.18084899329427753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910673135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881938,0.00030642038,0.0076406295,0.00048299896,0.0002649629,0.00034789866,0.0000125449415,0.000060634295,0.0026901194],"genre_scores_gemma":[0.9993498,0.00014681938,0.00020204559,0.00007341016,0.000027475762,0.0000045310135,0.0000824092,0.000010885375,0.00010264379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925154,0.000027811451,0.00023814625,0.00013185947,0.00016798316,0.00018265288],"domain_scores_gemma":[0.9996625,0.000032261723,0.000054800246,0.00019984391,0.000033623783,0.000016937864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012904697,0.00009727537,0.00014292149,0.00006410206,0.000033169046,0.000030556905,0.00012777704,0.00007687514,0.000048245784],"category_scores_gemma":[0.000005936734,0.00007272435,0.000055291926,0.00033119775,0.000019737196,0.0002802214,0.000003643168,0.000110573565,0.000014488126],"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":[0.000015685915,0.000014946198,0.0038192852,0.000074176816,0.000020558957,0.0000014888515,0.0012580918,0.9407243,0.049487278,0.0010048437,0.0016796206,0.0018997099],"study_design_scores_gemma":[0.00089074014,0.00011246894,0.005483944,0.00026646836,0.000050104736,0.000015260968,0.0019436869,0.85236907,0.13707463,0.00078571076,0.000668825,0.00033908547],"about_ca_topic_score_codex":0.00012951315,"about_ca_topic_score_gemma":0.00003620237,"teacher_disagreement_score":0.08835524,"about_ca_system_score_codex":0.000035965633,"about_ca_system_score_gemma":0.000006641399,"threshold_uncertainty_score":0.2965613},"labels":[],"label_agreement":null},{"id":"W2910696206","doi":"10.2514/6.2019-0433","title":"Robust Aerodynamic Model Identification: A New Method for Aircraft System Identification In the Presence of General Dynamic Model Deficiencies","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":7,"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 Toronto","funders":"","keywords":"Aerodynamics; Identification (biology); Computer science; System identification; Flight dynamics; Control engineering; Vehicle dynamics; Control theory (sociology); Aerospace engineering; Data modeling; Engineering; Artificial intelligence; Control (management)","score_opus":0.012783834241398943,"score_gpt":0.2518276383791952,"score_spread":0.23904380413779625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910696206","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1950975,0.00021855396,0.8027411,0.000628486,0.00017697,0.0008043357,0.000048841262,0.00019967135,0.0000845004],"genre_scores_gemma":[0.9587018,0.000027372034,0.038735032,0.00003163539,0.000010121392,0.00014092501,0.00004611719,0.00003152384,0.0022755056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851716,0.00002811281,0.00050920394,0.00032728826,0.00026534963,0.00035291314],"domain_scores_gemma":[0.99889416,0.00008158143,0.0001631603,0.0007359811,0.000096468655,0.000028646902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067657337,0.00017283337,0.00024341767,0.00023838582,0.00007634496,0.000053076623,0.0006942877,0.0001836624,0.0000021545784],"category_scores_gemma":[0.000038090948,0.00015097826,0.00009569663,0.0005042167,0.00004337853,0.00035858148,0.000054890243,0.00016122399,0.000035283352],"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":[0.000004504106,0.000012993396,0.00016035835,0.000106905216,0.000008333901,8.4851514e-8,0.0002713966,0.872176,0.105187915,0.019995602,0.0013324703,0.0007434184],"study_design_scores_gemma":[0.00026217842,0.000019309118,0.0004710241,0.0000372349,0.00001808366,0.0000042700426,0.00084510125,0.9904192,0.004010006,0.0037325262,0.000023189565,0.00015789495],"about_ca_topic_score_codex":0.000054636224,"about_ca_topic_score_gemma":0.00018967217,"teacher_disagreement_score":0.7640061,"about_ca_system_score_codex":0.00013921168,"about_ca_system_score_gemma":0.0000666904,"threshold_uncertainty_score":0.61567146},"labels":[],"label_agreement":null},{"id":"W2910724385","doi":"10.2514/6.2019-2382","title":"Acoustic Atmospheric Propagation Model Validation with the NRC Convair 580","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Atmospheric model; Environmental science; Model validation; Computer science; Atmospheric sciences; Meteorology; Remote sensing; Geology; Physics; Data science","score_opus":0.0031109838442521555,"score_gpt":0.17582858797570883,"score_spread":0.17271760413145668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910724385","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43367165,0.0000620231,0.56081295,0.00040319486,0.0003677906,0.0005713334,0.000017926015,0.0002911922,0.003801915],"genre_scores_gemma":[0.99338907,0.000027030874,0.0039501926,0.0001336303,0.000046282723,0.000036957757,0.00003039247,0.0000620858,0.0023243309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889624,0.000010965853,0.0001666938,0.00021145125,0.0003687083,0.00034592117],"domain_scores_gemma":[0.9992979,0.000045152792,0.000054786633,0.00042760625,0.00012896201,0.000045593322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022975859,0.00018918238,0.00014658044,0.000016082371,0.0001159716,0.00008015497,0.0002573384,0.00009871611,0.000039384657],"category_scores_gemma":[0.0000147601495,0.00012833884,0.000040697367,0.00024411328,0.00004847821,0.00022266952,0.000048396712,0.0002238744,0.00024109331],"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":[0.0000071304707,0.000009396882,0.0003386823,0.00003485587,0.00002179729,6.8338767e-7,0.000052886106,0.9764878,0.013901399,0.0011616602,0.0068159136,0.0011677907],"study_design_scores_gemma":[0.0002554617,0.00006194995,0.00014846724,0.00002940087,0.000028112148,0.0000047956596,0.000102395075,0.99687713,0.00060093874,0.00085449015,0.00082018384,0.00021669581],"about_ca_topic_score_codex":0.0000072596126,"about_ca_topic_score_gemma":0.000024444762,"teacher_disagreement_score":0.5597174,"about_ca_system_score_codex":0.00011985006,"about_ca_system_score_gemma":0.000046997313,"threshold_uncertainty_score":0.5233506},"labels":[],"label_agreement":null},{"id":"W2910777019","doi":"10.2514/6.2019-2097","title":"Systematic Approach to Conceptual Design Selection for Hybrid UAVs using Structured Design Methods","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":7,"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 Calgary","funders":"","keywords":"Computer science; Selection (genetic algorithm); Conceptual design; Design methods; Systems engineering; Artificial intelligence; Human–computer interaction; Engineering","score_opus":0.039031361425234605,"score_gpt":0.27250511575266345,"score_spread":0.23347375432742884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910777019","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009233932,0.00008127651,0.98396724,0.00017013979,0.00095541833,0.004937811,0.0000021169612,0.00023068028,0.00042138834],"genre_scores_gemma":[0.3562689,0.0000011930204,0.6401464,0.0012712668,0.000486225,0.00026367087,0.000069571004,0.00009028158,0.0014025179],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980168,0.000093654475,0.00046969255,0.0005615307,0.00030521207,0.00055313745],"domain_scores_gemma":[0.99886173,0.00012902566,0.00034344548,0.00030296,0.00033722614,0.000025596935],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020724249,0.00029546904,0.00044847326,0.0004522842,0.00029084322,0.00035782962,0.00030509123,0.00010714023,0.00004338089],"category_scores_gemma":[0.0003566181,0.0002619147,0.00009235402,0.00081278523,0.00002817369,0.0011966389,0.0001190966,0.00010482336,0.00018958656],"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":[0.0020818359,0.00053053274,0.006947864,0.025774304,0.0012807494,0.0000030191097,0.0016405924,0.29319546,0.34340632,0.10578335,0.2034276,0.015928378],"study_design_scores_gemma":[0.002250734,0.00010990408,0.00018471474,0.00090065075,0.00040336055,0.000027321748,0.0013617979,0.93480384,0.03960281,0.01284266,0.0060669733,0.0014452117],"about_ca_topic_score_codex":0.00002532519,"about_ca_topic_score_gemma":0.0000011587043,"teacher_disagreement_score":0.6416084,"about_ca_system_score_codex":0.00012506272,"about_ca_system_score_gemma":0.00008274066,"threshold_uncertainty_score":0.9999833},"labels":[],"label_agreement":null},{"id":"W2911047909","doi":"10.2514/6.2019-1077","title":"Adaptive Smith Predictor for Teleoperation of UAVs using Parameter Estimation Techniques","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":6,"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 Toronto","funders":"","keywords":"Teleoperation; Smith predictor; Computer science; Estimation; Estimation theory; Artificial intelligence; Control engineering; Robot; Engineering; Algorithm","score_opus":0.012458683170004375,"score_gpt":0.23625974813012404,"score_spread":0.22380106496011967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911047909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3106669,0.0001421108,0.68593705,0.0000532818,0.0005382444,0.0014775437,0.000066082786,0.0003789315,0.00073989],"genre_scores_gemma":[0.93119,0.000006884895,0.06829324,0.000033758784,0.00005726338,0.00006617548,0.000025258652,0.00003467072,0.00029272452],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991167,0.000014787585,0.00032815716,0.00016643426,0.00016249542,0.0002114279],"domain_scores_gemma":[0.9994671,0.00006730168,0.00006909649,0.00023571498,0.00012209255,0.00003874561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018075679,0.00014290908,0.00022160125,0.00014812974,0.00004325672,0.000041583666,0.00010520831,0.00013006684,0.00003737846],"category_scores_gemma":[0.000033282064,0.00013174496,0.000067047884,0.00013505861,0.000021719854,0.00036381435,0.000016052836,0.00007012759,0.000032144562],"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":[0.0002633823,0.00020995767,0.018666452,0.0014167634,0.0005030005,0.000001529894,0.0023525597,0.23565906,0.56850576,0.029847875,0.026693841,0.115879804],"study_design_scores_gemma":[0.00034217117,0.00021717684,0.00036160773,0.0001347159,0.000018548375,0.000005035645,0.00014913024,0.9194992,0.07659809,0.00032464555,0.0021595494,0.0001900847],"about_ca_topic_score_codex":0.000024385236,"about_ca_topic_score_gemma":0.0000074629015,"teacher_disagreement_score":0.68384016,"about_ca_system_score_codex":0.000072346724,"about_ca_system_score_gemma":0.000034836215,"threshold_uncertainty_score":0.5372404},"labels":[],"label_agreement":null},{"id":"W2911154219","doi":"10.2514/6.2019-1493","title":"Modeling of the Turbulent Reaction Rate in High-Pressure Flows","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"","keywords":"Turbulence; Computer science; Mechanics; Physics","score_opus":0.00409899170328573,"score_gpt":0.1831384246616365,"score_spread":0.17903943295835076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911154219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941173,0.00012515229,0.003589631,0.00043228955,0.0008559433,0.00022412761,0.00000848894,0.00008957041,0.00055747305],"genre_scores_gemma":[0.99916387,0.000044439217,0.00011467569,0.0000414988,0.000016287904,0.0000046945916,0.0000070376127,0.00001873661,0.000588771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993864,0.000016437645,0.00018449285,0.00011284894,0.00011693543,0.0001828291],"domain_scores_gemma":[0.99957824,0.000014583077,0.00002409136,0.0003334753,0.00002880498,0.000020785956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001507098,0.00009310832,0.00012425653,0.00008509868,0.000019408732,0.000011266377,0.00017350822,0.00008768016,0.00002827161],"category_scores_gemma":[0.0000093721155,0.00007479307,0.000052792013,0.00020566239,0.00000807938,0.000118531185,0.0000487114,0.0002037929,0.000057036123],"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":[0.0000061150686,0.000008792905,0.0008904482,0.000028833183,0.000010022696,2.4495486e-7,0.000042188298,0.97917086,0.017826157,0.00093351485,0.00029989323,0.0007829101],"study_design_scores_gemma":[0.0002690432,0.000011417441,0.0017166613,0.000054856515,0.0000071013715,0.0000012128155,0.000049084014,0.9949758,0.00072801195,0.00051439146,0.0015801473,0.00009224689],"about_ca_topic_score_codex":0.000086065054,"about_ca_topic_score_gemma":0.000121311125,"teacher_disagreement_score":0.017098146,"about_ca_system_score_codex":0.00004072865,"about_ca_system_score_gemma":0.000010382522,"threshold_uncertainty_score":0.30499727},"labels":[],"label_agreement":null},{"id":"W2913153966","doi":"10.2514/6.2019-0641.c1","title":"Correction: Fluid-Structure Interaction Extended-FEM Approach to Air-Ice Solidification","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Mechanical and Thermal Properties Analysis","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":"McGill University","funders":"","keywords":"Finite element method; Fluid–structure interaction; Materials science; Computer science; Mechanical engineering; Mechanics; Thermodynamics; Engineering; Physics","score_opus":0.007164891455152946,"score_gpt":0.20080037280279525,"score_spread":0.1936354813476423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913153966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6250589,0.00073033693,0.2599817,0.0021633604,0.013852642,0.0018976687,0.0000671965,0.002100562,0.094147645],"genre_scores_gemma":[0.9928366,0.00002773123,0.0006598562,0.00035809525,0.00014706382,0.000022768147,0.000048517893,0.000039097,0.005860285],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885035,0.00002226082,0.0002548028,0.00032238694,0.00021729729,0.00033289345],"domain_scores_gemma":[0.99930626,0.000021373316,0.000040909206,0.00044801497,0.00006603445,0.000117430536],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010344332,0.00019141361,0.00021570186,0.00013588706,0.0000838766,0.000053287793,0.00024494628,0.00014311534,0.00039141742],"category_scores_gemma":[0.000018937815,0.00016018745,0.00010621575,0.0004074847,0.00001014953,0.00029105466,0.00006651983,0.00025654736,0.0013100831],"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":[0.00014822329,0.00014269163,0.00027103352,0.00017037902,0.00029794575,0.0000012245353,0.00045219422,0.28303778,0.4851486,0.004214574,0.094991036,0.13112432],"study_design_scores_gemma":[0.00026305654,0.00013548111,0.00055323716,0.000052551888,0.000049632454,0.000028747483,0.00058674323,0.8047943,0.060811486,0.00054144906,0.13167661,0.0005066622],"about_ca_topic_score_codex":0.000054960627,"about_ca_topic_score_gemma":0.000011839468,"teacher_disagreement_score":0.5217566,"about_ca_system_score_codex":0.00011302347,"about_ca_system_score_gemma":0.000008339798,"threshold_uncertainty_score":0.9994675},"labels":[],"label_agreement":null},{"id":"W2913547084","doi":"10.2514/6.2019-0006.c1","title":"Correction: An Industry-Based Approach to Aircraft Design Education at the Pre-Collegiate Level","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Engineering Education and Curriculum Development","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":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Aeronautics; Engineering","score_opus":0.014396704761456214,"score_gpt":0.23275397837515616,"score_spread":0.21835727361369994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913547084","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41575485,0.0003597795,0.5283901,0.0033777952,0.022922423,0.0040142555,0.0000343075,0.0016981075,0.02344836],"genre_scores_gemma":[0.92718035,0.0000049072974,0.014909988,0.0010168775,0.00016155191,0.00047244126,0.00009193303,0.00007867488,0.056083266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988996,0.0000309353,0.00020285037,0.00027558708,0.00023618322,0.0003548472],"domain_scores_gemma":[0.9991947,0.000039521332,0.00003199168,0.0004985895,0.00007228446,0.00016294005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026509297,0.00020693339,0.00013457918,0.00015636238,0.00012540507,0.00007427914,0.00030308502,0.00019248338,0.00020125734],"category_scores_gemma":[0.00002080922,0.00017221623,0.000041956377,0.00055091927,0.00001450668,0.00016040143,0.00003773684,0.00032423725,0.00067334826],"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":[0.000007978544,0.00009959518,0.0015239652,0.00002425154,0.000017173894,6.8486656e-8,0.00038165296,0.55269897,0.00082923414,0.00012721673,0.4398692,0.004420686],"study_design_scores_gemma":[0.00078448444,0.00023681375,0.0645769,0.00019258716,0.000036337027,0.000041366187,0.0016432619,0.42611784,0.016900409,0.00007945393,0.48804235,0.0013481914],"about_ca_topic_score_codex":0.00003332243,"about_ca_topic_score_gemma":0.000014069588,"teacher_disagreement_score":0.5134801,"about_ca_system_score_codex":0.00033872362,"about_ca_system_score_gemma":0.00023817844,"threshold_uncertainty_score":0.8654754},"labels":[],"label_agreement":null},{"id":"W2914740836","doi":"10.2514/6.2019-0495.c1","title":"Correction: Application of Modal Truncation Vectors to the Mixed and Fixed Boundary Dynamic Math Models","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Matrix Theory and Algorithms","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":"Lockheed Martin (Canada)","funders":"","keywords":"Modal; Truncation (statistics); Boundary (topology); Computer science; Applied mathematics; Mathematics; Calculus (dental); Mathematical analysis; Machine learning","score_opus":0.0039031603374736104,"score_gpt":0.2118410493057119,"score_spread":0.20793788896823828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914740836","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19243923,0.000093175375,0.80353385,0.0018511926,0.0010941193,0.0004983759,0.0000082543065,0.000082896935,0.00039893124],"genre_scores_gemma":[0.99326164,0.000007445314,0.005186835,0.0001594664,0.000025149942,0.000034446042,0.000009133119,0.000008679218,0.001307236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990352,0.0000466925,0.0001891872,0.00031458357,0.00021635019,0.0001980284],"domain_scores_gemma":[0.9990578,0.00008549966,0.000109291985,0.00062292826,0.000072303555,0.000052142295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004130495,0.00011083031,0.00013316672,0.00009989264,0.00014700512,0.000090678746,0.0005343293,0.000060471375,0.000004466005],"category_scores_gemma":[0.000012331147,0.00008370026,0.000042543852,0.00041646528,0.000041064228,0.0004668936,0.00020407682,0.00010077118,0.000094417126],"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":[0.00008923309,0.00014112079,0.0011441597,0.00007299042,0.0000493179,8.3366524e-7,0.0019220845,0.017393112,0.015337763,0.55981773,0.0064740973,0.39755756],"study_design_scores_gemma":[0.00016768689,0.00011082911,0.0017069649,0.000016196203,0.0000048972493,0.000013866188,0.00009142725,0.96422637,0.001495122,0.028356928,0.0036865086,0.00012322172],"about_ca_topic_score_codex":0.000051223054,"about_ca_topic_score_gemma":0.000020885984,"teacher_disagreement_score":0.94683325,"about_ca_system_score_codex":0.00003572025,"about_ca_system_score_gemma":0.000046400786,"threshold_uncertainty_score":0.34131974},"labels":[],"label_agreement":null},{"id":"W4246660945","doi":"10.2514/6.2019-0432","title":"New Algorithm for Fuel Flow Prediction and its Correction during the Cruise - Application on the Cessna Citation X Business Aircraft","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Aerospace and Aviation Technology","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":"Cruise; Flow (mathematics); Computer science; Algorithm; Aerospace engineering; Environmental science; Aeronautics; Automotive engineering; Engineering; Mechanics; Physics","score_opus":0.00402919166587326,"score_gpt":0.1876652219711691,"score_spread":0.18363603030529585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246660945","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21132311,0.0005449579,0.77640086,0.005994933,0.0022222807,0.0022883161,0.00006328068,0.00087693334,0.00028535427],"genre_scores_gemma":[0.99577343,0.0002302001,0.00093053456,0.0001310086,0.00019854803,0.00025062147,0.000058889043,0.000041267842,0.0023855113],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927413,0.000010673821,0.00015544961,0.00020464062,0.0001406787,0.00021444842],"domain_scores_gemma":[0.9994722,0.00009024662,0.00006374324,0.00025488748,0.00009084012,0.000028089951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013932653,0.00013588242,0.000102408914,0.00009746932,0.00018608797,0.000051488772,0.00014182637,0.00014440676,0.000016267582],"category_scores_gemma":[0.000030779418,0.00009594902,0.000032784425,0.00037724446,0.000017123117,0.00025630544,0.000027429098,0.00015931195,0.00009560689],"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":[0.000092518276,0.00006492434,0.005535348,0.00036376604,0.00014755686,4.4092275e-7,0.0008520758,0.0582196,0.06764113,0.0049247122,0.072200015,0.78995794],"study_design_scores_gemma":[0.00083098054,0.000105477084,0.024389714,0.000060869992,0.000028992785,0.000008908219,0.00038644407,0.9317781,0.018004695,0.00227468,0.021889929,0.0002412497],"about_ca_topic_score_codex":0.000018425788,"about_ca_topic_score_gemma":0.000030338164,"teacher_disagreement_score":0.87355846,"about_ca_system_score_codex":0.00006174359,"about_ca_system_score_gemma":0.000013650976,"threshold_uncertainty_score":0.39126876},"labels":[],"label_agreement":null},{"id":"W4255077726","doi":"10.2514/6.2019-1996","title":"Mesh Adaptation for Wakes via Surface Insertion","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","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":"Computer science; Adaptation (eye); Insertion loss; Materials science; Optoelectronics; Physics; Optics","score_opus":0.004513866471121479,"score_gpt":0.19246156323911362,"score_spread":0.18794769676799214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255077726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5924859,0.00010472529,0.40547583,0.00024549293,0.00073257793,0.00036550837,0.000051918396,0.0002054782,0.00033255748],"genre_scores_gemma":[0.99069226,0.000024668563,0.008028711,0.000076406075,0.00003565782,0.000012432793,0.00026236716,0.00003980312,0.00082768657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923056,0.000006130392,0.00018709085,0.00017202369,0.00015140968,0.00025275486],"domain_scores_gemma":[0.999601,0.00007717138,0.000028535462,0.00016548208,0.00008532448,0.000042505755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011748788,0.00013046635,0.0001274235,0.00006575799,0.000053532596,0.000042092244,0.00011917768,0.00008103607,0.000020714846],"category_scores_gemma":[0.000008579937,0.00013752062,0.000072403236,0.00015558233,0.000009636731,0.00021930915,0.000021806896,0.00007787121,0.0001762858],"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":[0.00001602974,0.000015801628,0.0011572326,0.000050654595,0.000029532703,2.5944152e-7,0.00006261001,0.94072205,0.03318757,0.012805295,0.0025137614,0.00943918],"study_design_scores_gemma":[0.00031915613,0.0000573243,0.0018868165,0.00001721668,0.000006824713,0.0000019101421,0.000042256594,0.9885725,0.00038573451,0.005152719,0.0033746937,0.00018284982],"about_ca_topic_score_codex":0.00002337268,"about_ca_topic_score_gemma":0.00006992575,"teacher_disagreement_score":0.39820635,"about_ca_system_score_codex":0.000077140365,"about_ca_system_score_gemma":0.000017319942,"threshold_uncertainty_score":0.5607928},"labels":[],"label_agreement":null}]}