{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":99,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":99,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"7bbba535e405","filters":{"venue":"Aerospace"}},"results":[{"id":"W3035579873","doi":"10.3390/aerospace7060077","title":"Selective Laser Melting of Aluminum and Titanium Matrix Composites: Recent Progress and Potential Applications in the Aerospace Industry","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Aerospace; Materials science; Selective laser melting; Ultimate tensile strength; Specific strength; Ductility (Earth science); Microstructure; Composite material; Titanium; Metallurgy; Composite number; Aerospace engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.009019987190651117,"gpt":0.2287896060792298,"spread":0.2197696188885787,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000762054,0.0001137875,0.0001442523,0.00001585235,0.00005467333,0.00005009998,0.00008104814,0.00008452556,0.00001145348],"category_scores_gemma":[0.00001237342,0.00009047303,0.00001064291,0.0001502216,0.00006843858,0.00007167085,0.00004441233,0.0001920211,0.000001821169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001131892,"about_ca_system_score_gemma":0.000007784556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000103184,"about_ca_topic_score_gemma":0.000009573595,"domain_scores_codex":[0.9994925,0.00002596906,0.0001164004,0.0001444362,0.00008688449,0.0001338081],"domain_scores_gemma":[0.9997512,0.00005757418,0.00004333158,0.00007290491,0.00003206819,0.00004297082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005918403,0.0006628931,0.2252976,0.01035014,0.0008770637,0.00008532954,0.07553627,0.03539482,0.5929593,0.004035518,0.04105874,0.01315043],"study_design_scores_gemma":[0.001042841,0.0002130483,0.07647701,0.0001608144,0.00009007569,0.00002632261,0.005500476,0.002405607,0.9037188,0.0001963416,0.009578724,0.0005898903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961579,0.0008372295,0.0008056023,0.001437593,0.00003064938,0.0003632879,0.00003907183,0.00007367715,0.0002549675],"genre_scores_gemma":[0.9988088,0.0001752664,0.0008189249,0.00005471155,0.00006336244,0.0000419473,0.00001003135,0.00001624279,0.00001071948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3107595,"threshold_uncertainty_score":0.3689383,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3012022212","doi":"10.3390/aerospace7030026","title":"The Bird Strike Challenge","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Deutscher Akademischer Austauschdienst; Transport Canada","keywords":"Aviation; Aviation safety; Aeronautics; Presentation (obstetrics); Geography; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01849746707354709,"gpt":0.2230238989249719,"spread":0.2045264318514248,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005757477,0.00005530621,0.00004632974,0.000001207967,0.0002008811,0.00001133406,0.0001878679,0.00004114019,0.001263164],"category_scores_gemma":[0.00002146656,0.00003675935,0.00002399326,0.00007328957,0.0001515022,0.00005474975,0.0001192547,0.0001030823,0.006002962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002300123,"about_ca_system_score_gemma":0.000003117729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001261859,"about_ca_topic_score_gemma":0.0003423752,"domain_scores_codex":[0.9995361,0.00001992813,0.00005323975,0.0001373126,0.00008805426,0.0001653823],"domain_scores_gemma":[0.9997436,0.00003498238,0.00002337568,0.000120162,0.000001381836,0.00007644279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001518314,0.00003793354,0.9489081,0.000001038383,0.000004504704,0.0000152609,0.0007517978,0.00002476051,0.001685024,0.000247084,0.03651239,0.01179692],"study_design_scores_gemma":[0.000167868,0.0001345544,0.798079,8.287552e-7,0.000008329115,0.000001790743,0.0002512583,0.00003480919,0.000724736,0.00009194668,0.2004022,0.0001026344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943316,0.00009632422,0.00007920554,0.04701773,0.0001309527,0.0001333491,0.000001322701,0.0001418252,0.009083263],"genre_scores_gemma":[0.9966353,0.00005151685,0.0001007658,0.001042618,0.00003559772,0.000008425814,2.698507e-7,0.000008627618,0.002116931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1638898,"threshold_uncertainty_score":0.9996498,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3034170716","doi":"10.3390/aerospace7060071","title":"Pareto Optimal PID Tuning for Px4-Based Unmanned Aerial Vehicles by Using a Multi-Objective Particle Swarm Optimization Algorithm","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Consejo Nacional de Ciencia y Tecnología, Paraguay","keywords":"PID controller; Particle swarm optimization; Overshoot (microwave communication); Control theory (sociology); Pareto principle; Computer science; Multi-objective optimization; Pareto optimal; Process (computing); Control engineering; Mathematical optimization; Engineering; Algorithm; Mathematics; Control (management); Temperature control; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.03007917611414871,"gpt":0.2495585609795093,"spread":0.2194793848653606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001418895,0.0002719389,0.0003492459,0.00002756652,0.000136376,0.00008534693,0.0001497233,0.0001221236,0.000007707028],"category_scores_gemma":[0.0001481757,0.0003032901,0.0001072732,0.0002198543,0.00004455913,0.0002456971,0.00003182823,0.0001395084,0.00001232403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718787,"about_ca_system_score_gemma":0.00004864653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004881286,"about_ca_topic_score_gemma":0.000009114768,"domain_scores_codex":[0.998695,0.00004584435,0.0002957569,0.0003402349,0.0001857908,0.0004373519],"domain_scores_gemma":[0.9992707,0.0001308061,0.00009380202,0.0001619225,0.0001418356,0.0002009204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001007614,0.00002912216,0.0001315282,0.00003284984,0.00006923851,0.000004030657,0.0005052542,0.9067052,0.09140471,0.000003949772,0.0004275904,0.0005857953],"study_design_scores_gemma":[0.002848677,0.0001656597,0.0000237072,0.00003631226,0.00004994885,0.00000131048,0.0003930509,0.9447648,0.05078885,4.276052e-7,0.0006095514,0.0003177301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1069988,0.0003247246,0.8908371,0.0002870011,0.0002772438,0.0006672544,0.0001292347,0.0004696648,0.000009057075],"genre_scores_gemma":[0.7695488,0.000003834513,0.229661,0.0001459907,0.0003996091,0.00006947855,0.00004739775,0.0001020862,0.00002179394],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.66255,"threshold_uncertainty_score":0.9999419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092510035","doi":"10.3390/aerospace7100145","title":"New Reliability Studies of Data-Driven Aircraft Trajectory Prediction","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canada Research Chairs","keywords":"Trajectory; Computer science; Robustness (evolution); Adversarial system; Regression; Reliability (semiconductor); Artificial intelligence; Machine learning; Deep learning; Regression analysis; Support vector machine; Data mining; Mathematics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.04596682810160201,"gpt":0.2570495897795583,"spread":0.2110827616779563,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006173485,0.00007843701,0.0001272606,0.00001421786,0.00001904827,0.000005923259,0.0001535913,0.00003125307,0.00003906277],"category_scores_gemma":[0.00004376866,0.00007871481,0.00002049761,0.0001430945,0.0000204743,0.0002433807,0.00006385666,0.00006073821,0.0000128128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002231493,"about_ca_system_score_gemma":0.000009207684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006126003,"about_ca_topic_score_gemma":0.00001328179,"domain_scores_codex":[0.999501,0.00001030688,0.0001398871,0.0001566283,0.0001079968,0.00008412221],"domain_scores_gemma":[0.9996341,0.00002417056,0.00002392231,0.0002480857,0.00002334437,0.00004639147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000805544,0.00000715288,0.001695681,0.0001878394,0.00006910862,4.988582e-7,0.001247214,0.8173814,0.0002150448,0.00006040516,0.1766749,0.002452693],"study_design_scores_gemma":[0.0004513879,0.00008564461,0.004696729,0.00003150436,0.00008396807,1.479551e-7,0.0005811824,0.9748761,0.000523449,0.00001731839,0.01850411,0.0001484459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1063835,0.002316683,0.8776531,0.003782117,0.0009441353,0.0007496456,0.00008770488,0.002381239,0.005701886],"genre_scores_gemma":[0.9638466,0.0006440328,0.03482796,0.00005614853,0.0001833004,0.000003719142,0.00007875709,0.00002228643,0.0003372344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8574631,"threshold_uncertainty_score":0.3209897,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386332795","doi":"10.3390/aerospace10090770","title":"Examining the Potential of Generative Language Models for Aviation Safety Analysis: Case Study and Insights Using the Aviation Safety Reporting System (ASRS)","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Topic Modeling","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"General Fusion (Canada)","funders":"","keywords":"Aviation; Aviation safety; Computer science; Context (archaeology); Process (computing); Generative grammar; Risk analysis (engineering); Engineering; Artificial intelligence; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.06448011856139108,"gpt":0.3037445477884083,"spread":0.2392644292270172,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001942396,0.000117706,0.0002413644,0.0001013582,0.0006074688,0.0001266798,0.0002209982,0.00004288997,2.692305e-7],"category_scores_gemma":[0.0001150379,0.00007542477,0.00006884783,0.000821121,0.00002146805,0.0003555685,0.0002079686,0.00008889664,2.403569e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008055673,"about_ca_system_score_gemma":0.00004306779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008635511,"about_ca_topic_score_gemma":0.0004634029,"domain_scores_codex":[0.9982603,0.0002468084,0.0006585966,0.0003725558,0.0002928051,0.0001689306],"domain_scores_gemma":[0.9981447,0.0002331677,0.0008755333,0.0005659839,0.0001526735,0.0000279463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001215755,0.00002075954,0.001613388,0.00002956755,0.0002958922,0.0001456912,0.106333,0.8779038,0.003641925,0.006915358,0.000003973831,0.003084508],"study_design_scores_gemma":[0.0002291815,0.00002811001,0.001659133,0.00001746542,0.000191021,0.0000613106,0.05529861,0.9420483,0.0002764577,0.0001103116,5.399287e-7,0.00007963669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4968959,0.0000550436,0.502484,0.00007408539,0.00007874013,0.0003482367,0.000002160731,0.00005104483,0.00001078554],"genre_scores_gemma":[0.988906,0.00000340297,0.01091752,0.00001844347,0.00006624829,0.0000257011,0.000005840835,0.00000867914,0.00004820794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4920101,"threshold_uncertainty_score":0.467222,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885830479","doi":"10.3390/aerospace5030080","title":"Robust Optimization of Airplane Passenger Seating Assignments","year":2018,"lang":"en","type":"article","venue":"Aerospace","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Motor Association Foundation for Traffic Safety; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Airplane; Integer programming; Stage (stratigraphy); Plane (geometry); Computer science; Multi stage; Integer (computer science); Mathematical optimization; Operations research; Mathematics; Engineering; Algorithm; Aerospace engineering; Industrial engineering; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.02807898081526437,"gpt":0.2430611108575473,"spread":0.2149821300422829,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001977217,0.00008595292,0.0001211905,0.00005274926,0.0000447554,0.00002208423,0.0001082883,0.00006221477,0.0001481251],"category_scores_gemma":[0.00005222414,0.00008779652,0.00002044193,0.0001911106,0.00003904562,0.00008585844,0.00002872165,0.00007950504,0.00008924634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006628102,"about_ca_system_score_gemma":0.00001057176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004087589,"about_ca_topic_score_gemma":0.00001605652,"domain_scores_codex":[0.9992484,0.00002988712,0.0001465978,0.0001143822,0.0002491478,0.0002115878],"domain_scores_gemma":[0.9995718,0.00005413119,0.00003247459,0.0002175204,0.00007600499,0.00004807423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007354645,0.00001887992,0.02178481,0.0001255362,0.00006650433,0.000003529679,0.0005366064,0.9197516,0.03880924,0.0000512765,0.01831144,0.0005331704],"study_design_scores_gemma":[0.0005009137,0.0001115953,0.006983266,0.0001894675,0.00001195381,0.000009010793,0.0001801492,0.9054337,0.08262075,0.000004219827,0.003691478,0.0002634667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6125532,0.000232456,0.3323808,0.0001313619,0.001296889,0.0005298894,0.00001411072,0.0007077404,0.05215349],"genre_scores_gemma":[0.9883281,0.000008300273,0.01051129,0.000005461037,0.0001889329,0.00001059019,0.000006899479,0.00003186355,0.0009085319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3757749,"threshold_uncertainty_score":0.3580238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3144301405","doi":"10.3390/aerospace8040096","title":"An Experimental Investigation of the Convective Heat Transfer on a Small Helicopter Rotor with Anti-Icing and De-Icing Test Setups","year":2021,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Icing; Icing conditions; Freestream; Heat transfer; Hard rime; Rotor (electric); Convective heat transfer; Mechanics; Materials science; Nusselt number; Environmental science; Meteorology; Reynolds number; Engineering; Mechanical engineering; Turbulence; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.009336477083957998,"gpt":0.1989644622437005,"spread":0.1896279851597425,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007334127,0.00013894,0.0001607874,0.00003567208,0.00008522045,0.00003034874,0.00007510267,0.00007824725,0.00000222532],"category_scores_gemma":[0.00002705312,0.0001041422,0.00002307696,0.0001650541,0.0001040446,0.00007366347,0.00001780048,0.0001691641,9.103636e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006078846,"about_ca_system_score_gemma":0.00002399195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001314972,"about_ca_topic_score_gemma":0.0001253236,"domain_scores_codex":[0.9994289,0.00002682717,0.0001016987,0.0001727966,0.00009572611,0.0001740899],"domain_scores_gemma":[0.9995998,0.00008116326,0.000008947468,0.0002395183,0.00003263352,0.00003790636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000916629,0.000021015,0.06568496,0.00004808014,0.0000193948,0.000005828594,0.004504142,0.006306431,0.923077,0.0001390469,0.00002009208,0.0001648286],"study_design_scores_gemma":[0.0003498218,0.0001944811,0.03041386,0.0002752562,0.00001488464,0.00002584904,0.002153201,0.003811681,0.9626116,0.00001717374,0.000004566857,0.0001276965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965509,0.00008032212,0.00250546,0.0001979953,0.0000539028,0.0001550323,0.000003842005,0.0002682364,0.0001843793],"genre_scores_gemma":[0.99907,0.000009510395,0.000707222,0.000132465,0.0000178432,0.00001534831,0.000001934702,0.00002739896,0.00001824467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03953451,"threshold_uncertainty_score":0.4246797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3203947708","doi":"10.3390/aerospace8100280","title":"Opportunistic In-Flight INS Alignment Using LEO Satellites and a Rotatory IMU Platform","year":2021,"lang":"en","type":"article","venue":"Aerospace","topic":"GNSS positioning and interference","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Pseudorange; Observability; Inertial measurement unit; Computer science; Inertial navigation system; GNSS applications; Kalman filter; Extended Kalman filter; Satellite system; Satellite; Control theory (sociology); Real-time computing; Global Positioning System; Inertial frame of reference; Engineering; Aerospace engineering; Computer vision; Mathematics; Artificial intelligence; Telecommunications; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02507086894106029,"gpt":0.226289131953905,"spread":0.2012182630128447,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004899177,0.00009745511,0.0001148109,0.0000328836,0.00003808974,0.00005095289,0.00004125911,0.00004692375,0.00002760248],"category_scores_gemma":[0.0000101907,0.0001095896,0.00001793066,0.00008813557,0.00002437822,0.0001061575,0.00003012276,0.0001019476,0.00001185639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008711002,"about_ca_system_score_gemma":0.00002477594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002787076,"about_ca_topic_score_gemma":0.00004247647,"domain_scores_codex":[0.9994833,0.000007752325,0.0001205545,0.0001346998,0.00007612607,0.0001776021],"domain_scores_gemma":[0.9997479,0.00002897803,0.00001414349,0.000125323,0.00001650921,0.00006715018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002599093,0.0002135044,0.03746479,0.0005863611,0.0001978783,0.0005935313,0.009418169,0.02257546,0.888358,0.02832892,0.002203614,0.01003377],"study_design_scores_gemma":[0.002329254,0.0002623295,0.05298996,0.002325885,0.0001342087,0.0005739029,0.003807253,0.2238401,0.6926463,0.003738589,0.01521471,0.002137503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906771,0.001336328,0.001568399,0.00005052441,0.0001662271,0.00004872913,0.00000564885,0.00008333119,0.00606369],"genre_scores_gemma":[0.9980021,0.0002555806,0.001370972,0.0000576486,0.00002152137,0.000005025798,0.000008323412,0.00001595901,0.0002629326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2012646,"threshold_uncertainty_score":0.4468936,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3028018190","doi":"10.3390/aerospace7050062","title":"Numerical and Experimental Investigation of the Design of a Piezoelectric De-Icing System for Small Rotorcraft Part 1/3: Development of a Flat Plate Numerical Model with Experimental Validation","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"National Research Council Canada; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Actuator; Vibration; Piezoelectricity; Acoustics; Computer simulation; Wind tunnel; Numerical analysis; Piezoelectric sensor; Mechanical engineering; Engineering; Structural engineering; Aerospace engineering; Simulation; Physics; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0347242908087959,"gpt":0.2182999571877007,"spread":0.1835756663789048,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001161261,0.0001357058,0.0002484735,0.00003674669,0.00005011804,0.000007221316,0.0001058554,0.00006932695,3.220082e-7],"category_scores_gemma":[0.00002683317,0.0001052835,0.00002981706,0.0002149497,0.00005436021,0.0000493144,0.00003208048,0.00007392417,1.826443e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000991938,"about_ca_system_score_gemma":0.00006151463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001327633,"about_ca_topic_score_gemma":3.147834e-7,"domain_scores_codex":[0.9992675,0.0000257919,0.0002683479,0.0001437317,0.0001391037,0.0001555853],"domain_scores_gemma":[0.999632,0.00006246507,0.000117413,0.0001139806,0.00003231232,0.00004183954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000137294,0.00001805087,0.001908866,0.0003131051,0.00005647695,3.549198e-7,0.009107257,0.4061328,0.5816837,0.0001417606,0.00005535358,0.0004449954],"study_design_scores_gemma":[0.0002794908,0.0001433293,0.00006464943,0.0001029932,0.00001101211,0.000002629023,0.0006474814,0.3920658,0.6066095,0.000004477203,7.975224e-7,0.00006784392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5307791,0.0000650829,0.4687502,0.00002250233,0.00001339027,0.0002699987,0.000001044842,0.0000928435,0.000005764003],"genre_scores_gemma":[0.9045798,0.000001409243,0.0952957,0.0000088204,0.000007241941,0.00008034585,0.000001737318,0.00002219675,0.000002783699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3738006,"threshold_uncertainty_score":0.4293338,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1591243799","doi":"10.3390/aerospace2030392","title":"Unmanned Aerial ad Hoc Networks: Simulation-Based Evaluation of Entity Mobility Models’ Impact on Routing Performance","year":2015,"lang":"en","type":"article","venue":"Aerospace","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada; Carleton University","funders":"","keywords":"Computer science; Routing (electronic design automation); Computer network; Mobility model; Wireless ad hoc network; Optimized Link State Routing Protocol; Ad hoc wireless distribution service; Routing protocol; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.05244857833157652,"gpt":0.323659727681273,"spread":0.2712111493496965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003210106,0.0002394167,0.0002969973,0.00006114612,0.0001183162,0.0001071481,0.0006303528,0.0001370583,0.00001632101],"category_scores_gemma":[0.0002565365,0.0002171635,0.0001240312,0.0005873789,0.00006307089,0.0008550999,0.0001511349,0.0002080949,0.00001616799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005124711,"about_ca_system_score_gemma":0.0004434292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005599948,"about_ca_topic_score_gemma":0.00004270064,"domain_scores_codex":[0.9971948,0.0003703839,0.0003864297,0.0005201477,0.001110131,0.0004181343],"domain_scores_gemma":[0.9972246,0.0003858809,0.0003418366,0.001106113,0.0007550023,0.0001865233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001215402,0.000116805,0.002323748,0.000006192027,0.00001337637,3.096305e-7,0.0002780291,0.9846988,0.00001365,0.0003198071,0.0001395851,0.01196816],"study_design_scores_gemma":[0.001410666,0.0004065353,0.006736768,0.00005278236,0.00002301433,3.096027e-7,0.00001354105,0.990338,0.000259158,0.0005384317,0.00001818115,0.0002026694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6108822,0.0001658136,0.3875715,0.00004864292,0.0004783297,0.0004824281,0.000002030711,0.0001099875,0.0002591427],"genre_scores_gemma":[0.9963427,0.000008633297,0.003343202,0.00006325491,0.000150878,0.00004116273,0.00001421893,0.00001676533,0.00001917097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3854606,"threshold_uncertainty_score":0.8855669,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312175172","doi":"10.3390/aerospace10010009","title":"Incorporation of Pilot Factors into Risk Analysis of Civil Aviation Accidents from 2008 to 2020: A Data-Driven Bayesian Network Approach","year":2022,"lang":"en","type":"article","venue":"Aerospace","topic":"Traffic and Road Safety","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Civil aviation; Bayesian network; Aviation; Engineering; Aviation safety; Aviation accident; Transport engineering; Risk analysis (engineering); Aeronautics; Computer science; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.01531020404083909,"gpt":0.2225468476489561,"spread":0.207236643608117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002082941,0.0001312646,0.0003453927,0.0001195189,0.0001038237,0.0000101608,0.0003695217,0.00004167746,0.0001172742],"category_scores_gemma":[0.00002418338,0.0001372677,0.00006719064,0.001443272,0.0000144294,0.000142202,0.0002316897,0.0001578486,0.000003150554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009731772,"about_ca_system_score_gemma":0.00001985795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002019339,"about_ca_topic_score_gemma":0.004241748,"domain_scores_codex":[0.9988656,0.0000882257,0.0003250342,0.0002570036,0.000318533,0.0001456164],"domain_scores_gemma":[0.9990794,0.00007175619,0.0001878106,0.0005619764,0.00003013886,0.00006891823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001601602,0.00003376487,0.2968168,0.000006548753,0.000445472,2.451672e-7,0.00115156,0.6975598,0.0001563359,0.00001845797,0.003490448,0.0003045536],"study_design_scores_gemma":[0.0001872631,0.00006382325,0.6621944,0.000004902128,0.0004953233,6.300311e-8,0.0003880851,0.3362946,0.00005660661,0.0000427196,0.0001371089,0.0001350602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7086013,0.0001049165,0.2902648,0.00002175201,0.000151143,0.0001780715,0.000482346,0.00008431583,0.0001113621],"genre_scores_gemma":[0.9910582,0.00003524368,0.006216844,0.000006569923,0.0000620654,0.00001305002,0.002562538,0.00002193392,0.00002353352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3653776,"threshold_uncertainty_score":0.5597616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023720346","doi":"10.3390/aerospace7050054","title":"Numerical and Experimental Investigation of the Design of a Piezoelectric De-Icing System for Small Rotorcraft Part 3/3: Numerical Model and Experimental Validation of Vibration-Based De-Icing of a Flat Plate Structure","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Icing; Structural engineering; Vibration; Computer simulation; Delamination (geology); Actuator; Numerical analysis; Mechanics; Acoustics; Engineering; Geology; Physics; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.02212101847671056,"gpt":0.2187427600092202,"spread":0.1966217415325097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124149,0.0001448637,0.0003065763,0.00005579699,0.0000472912,0.000009288892,0.00009553577,0.0001125294,5.371407e-7],"category_scores_gemma":[0.00008082567,0.0001260388,0.00004363259,0.0002271332,0.00008235613,0.00006506041,0.00002658215,0.00009382364,2.77186e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007419272,"about_ca_system_score_gemma":0.00005683052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005312644,"about_ca_topic_score_gemma":6.305841e-7,"domain_scores_codex":[0.9991953,0.00005032659,0.0003184069,0.0001538701,0.0001308002,0.0001512468],"domain_scores_gemma":[0.9994535,0.0001525127,0.0001790449,0.0001288227,0.00004156843,0.00004448857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005326816,0.000005198199,0.002017592,0.0002490621,0.00001662653,1.093073e-7,0.002068128,0.4360056,0.559424,0.00007612658,0.00001166836,0.00007265109],"study_design_scores_gemma":[0.0002949948,0.0001341707,0.0001108154,0.00009987374,0.00001675953,0.000001842585,0.0004303824,0.4816577,0.5171777,0.00002150017,7.395517e-8,0.0000541645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5954858,0.000105009,0.4040157,0.00003445333,0.00001638224,0.0002720241,0.000006182416,0.00006258438,0.000001922498],"genre_scores_gemma":[0.965753,0.000002133263,0.03415942,0.00001773252,0.00001143719,0.0000283631,0.000003612746,0.00002363839,7.18491e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3702672,"threshold_uncertainty_score":0.5139711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409887924","doi":"10.3390/aerospace12050375","title":"Review of On-Orbit Assembly Technology with Space Robots","year":2025,"lang":"en","type":"article","venue":"Aerospace","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Orbit (dynamics); Robot; Aerospace engineering; Space (punctuation); Computer science; Aeronautics; Astrobiology; Engineering; Artificial intelligence; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.00301219282276495,"gpt":0.2076896542449593,"spread":0.2046774614221944,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001041923,0.0001591355,0.0003587721,0.000108234,0.00002173894,0.000008344983,0.0001532255,0.00009527611,0.00001416309],"category_scores_gemma":[0.00002398481,0.0001278564,0.00005037932,0.0006330168,0.00003340308,0.00003587827,0.00001866046,0.000152248,0.00004601712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005224431,"about_ca_system_score_gemma":0.00002681509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002558811,"about_ca_topic_score_gemma":0.0000495639,"domain_scores_codex":[0.999338,0.00001317517,0.0001660526,0.0001624049,0.0001086347,0.0002117468],"domain_scores_gemma":[0.999367,0.00003873308,0.00004520015,0.0004468759,0.00007086504,0.00003131078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001418683,0.0002642334,0.0107714,0.04255697,0.001676633,0.0000997135,0.0002428906,0.02171803,0.07252902,0.4286569,0.3305334,0.09080897],"study_design_scores_gemma":[0.002647717,0.0006193334,0.001906731,0.07178069,0.0002755783,0.00005979111,0.0003817355,0.002169007,0.09162256,0.0005272821,0.8268745,0.001135078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04051236,0.6337016,0.03448204,0.03464161,0.001363977,0.002508509,0.000017111,0.002311313,0.2504615],"genre_scores_gemma":[0.9677994,0.0199637,0.00263935,0.0009087712,0.00004471199,0.0001205262,0.000003213634,0.00006389253,0.00845646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.927287,"threshold_uncertainty_score":0.5213831,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3142451893","doi":"10.3390/aerospace8040098","title":"Design and Development of an Experimental Setup of Electrically Powered Spinning Rotor Blades in Icing Wind Tunnel and Preliminary Testing with Surface Coatings as Hybrid Protection Solution","year":2021,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Icing; Wind tunnel; Slip ring; Marine engineering; Wind power; Spinning; Enhanced Data Rates for GSM Evolution; Rotor (electric); Engineering; Mechanical engineering; Aerospace engineering; Materials science; Electrical engineering; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.02243262160709448,"gpt":0.2233966670895916,"spread":0.2009640454824971,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002087677,0.0001305841,0.0001935965,0.00006793231,0.00007265947,0.00001951349,0.00004090181,0.00005943369,5.294722e-7],"category_scores_gemma":[0.0001155151,0.0001321527,0.000006201094,0.00022716,0.00004655381,0.0001317459,0.00004354872,0.0001391888,1.678467e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007043965,"about_ca_system_score_gemma":0.00005650738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001100609,"about_ca_topic_score_gemma":0.00001208631,"domain_scores_codex":[0.99927,0.00003013587,0.0002074651,0.0001911202,0.0001189311,0.000182358],"domain_scores_gemma":[0.9996764,0.00006856969,0.00007854142,0.00009881573,0.00005099901,0.00002668598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000686536,0.00003293322,0.001914769,0.0001119128,0.00001070679,0.00001101034,0.002898576,0.02006404,0.9713594,0.000002602224,0.000002401941,0.003523008],"study_design_scores_gemma":[0.0004082594,0.0006221831,0.006982405,0.0004277499,0.000006040103,0.00007978638,0.001900493,0.04840168,0.9410175,0.00001122622,6.676973e-7,0.000141985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472951,0.0002750899,0.05192484,0.00001882191,0.00001291236,0.0002839255,3.162031e-7,0.0001721651,0.00001681835],"genre_scores_gemma":[0.8310719,0.000004957916,0.1688845,0.000002297986,0.000002942918,0.000009274397,0.000001375967,0.00001763534,0.000005116103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169596,"threshold_uncertainty_score":0.5389029,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3018957874","doi":"10.3390/aerospace7050049","title":"Numerical and Experimental Investigation of the Design of a Piezoelectric De-Icing System for Small Rotorcraft Part 2/3: Investigation of Transient Vibration during Frequency Sweeps and Optimal Piezoelectric Actuator Excitation","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Transient (computer programming); Vibration; Acoustics; Amplitude; Sweep frequency response analysis; Actuator; Acceleration; Icing; Transient response; Transient state; Excitation; Steady state (chemistry); Mechanics; Accelerometer; Physics; Optics; Engineering; Electrical engineering; Computer science; Classical mechanics","retraction":null,"screen_n_in":null,"score":{"opus":0.0195130864503091,"gpt":0.1990197357209667,"spread":0.1795066492706575,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001672109,0.0001365033,0.0002310117,0.00008719506,0.00006774381,0.00001355057,0.00007890712,0.0001010262,2.742881e-7],"category_scores_gemma":[0.0001270202,0.0001234696,0.0000355352,0.0004183036,0.00007944355,0.0001186645,0.00001230617,0.0000960375,8.394571e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000987265,"about_ca_system_score_gemma":0.00004803048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004731193,"about_ca_topic_score_gemma":0.000001432645,"domain_scores_codex":[0.9991731,0.00005939438,0.0003212312,0.0001632889,0.0001278404,0.0001551375],"domain_scores_gemma":[0.9994947,0.0001321086,0.0001606655,0.0001058922,0.00005640356,0.00005021199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004563414,0.000004886544,0.003893301,0.000756569,0.0000282945,2.213456e-7,0.006252222,0.03711314,0.951156,0.0002413751,0.00001385908,0.0004945645],"study_design_scores_gemma":[0.0003647832,0.0002587402,0.004629551,0.0001487721,0.00003011753,0.000003572536,0.0005411857,0.2534041,0.7404825,0.00005155246,1.610797e-7,0.00008493582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6814006,0.0001527754,0.3177903,0.00008661454,0.00002625276,0.0004293744,0.000002176303,0.0001095773,0.000002363986],"genre_scores_gemma":[0.9785908,0.00001593175,0.02126942,0.00001169431,0.00001908619,0.00006713811,0.000003051819,0.00002198812,9.254227e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2971902,"threshold_uncertainty_score":0.5034942,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4311628272","doi":"10.3390/aerospace9120791","title":"A Safety-Focused System Architecting Framework for the Conceptual Design of Aircraft Systems","year":2022,"lang":"en","type":"article","venue":"Aerospace","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Bombardier","keywords":"Systems engineering; Conceptual design; Process (computing); Conceptual framework; Engineering; Computer science; Risk analysis (engineering)","retraction":null,"screen_n_in":null,"score":{"opus":0.05900910069712718,"gpt":0.2611335850953807,"spread":0.2021244843982535,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009795275,0.0001341516,0.000256935,0.00003548332,0.0002786966,0.00001931777,0.000328391,0.00005161504,0.000004784319],"category_scores_gemma":[0.0001643763,0.0001124181,0.00007946107,0.0002709279,0.00003986293,0.00001850572,0.00006030043,0.0002317421,0.000002229421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375179,"about_ca_system_score_gemma":0.00001670453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004680666,"about_ca_topic_score_gemma":5.967269e-7,"domain_scores_codex":[0.9990181,0.0001293724,0.0002897552,0.0001503861,0.0001679955,0.0002444382],"domain_scores_gemma":[0.9957745,0.003671381,0.00008227572,0.0004131533,0.00003088807,0.00002778939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001166259,0.000003884306,0.00001307311,0.0001549301,0.000064434,3.557944e-7,0.0008272322,0.9383206,0.002846395,0.05674247,0.0005177589,0.0004971516],"study_design_scores_gemma":[0.0005842904,0.000160356,0.0001180054,0.0001942975,0.00008279405,0.00004965598,0.0262745,0.9442255,0.002566013,0.0002314827,0.02512712,0.0003860185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002851572,0.002072142,0.9921404,0.0000928841,0.001022864,0.001113715,0.0000551765,0.0005650322,0.00008624783],"genre_scores_gemma":[0.9145302,0.00001233242,0.08367631,0.000005980611,0.0001456932,0.001480152,0.000002661821,0.00005181062,0.00009492975],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9116786,"threshold_uncertainty_score":0.4584276,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386099030","doi":"10.3390/aerospace10090745","title":"A Study on Thermal Management Systems for Hybrid–Electric Aircraft","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive engineering; Powertrain; Context (archaeology); Internal combustion engine cooling; Heat exchanger; Heat transfer; Mechanical engineering; Engineering; Environmental science; Computer science; Combustion","retraction":null,"screen_n_in":null,"score":{"opus":0.02147601722656125,"gpt":0.257713842993961,"spread":0.2362378257673997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001915309,0.0001440174,0.0001316761,0.00006144055,0.0001531569,0.00002901124,0.0002827039,0.00003047097,0.00001973826],"category_scores_gemma":[0.00002054241,0.0001212293,0.00004357447,0.0005015041,0.00003844293,0.00007887925,0.0001552232,0.00008123227,0.001268063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001222014,"about_ca_system_score_gemma":0.000001935033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002375064,"about_ca_topic_score_gemma":0.000004397962,"domain_scores_codex":[0.9988607,0.00002254262,0.0001139667,0.000370095,0.0002537874,0.0003789259],"domain_scores_gemma":[0.9994789,0.0000726421,0.00004297903,0.0003632811,0.000003573648,0.00003860703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005620614,0.003343916,0.1734832,0.0002156243,0.000621461,0.001773098,0.002749912,0.168743,0.06934005,0.01732836,0.3866421,0.1751972],"study_design_scores_gemma":[0.01057572,0.0101173,0.7176658,0.0001658248,0.0002836582,0.00004468468,0.02624526,0.02910884,0.04316987,0.009637518,0.1494611,0.003524407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836153,0.00004096742,0.005741449,0.0004551949,0.0002134804,0.001920797,0.000004502803,0.001208487,0.006799776],"genre_scores_gemma":[0.9899434,0.00002898922,0.0003201979,0.00006431079,0.00001807426,0.0005193683,0.000002361523,0.0000238438,0.009079442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5441826,"threshold_uncertainty_score":0.9995096,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2979842551","doi":"10.3390/aerospace6100114","title":"Effect of Various Surface Coatings on De-Icing/Anti-Icing Fluids Aerodynamic and Endurance Time Performances","year":2019,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Icing; Aerodynamics; Coating; Environmental science; Icing conditions; Materials science; Aerospace engineering; Engineering; Composite material; Meteorology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.001646677482321092,"gpt":0.1847489874613797,"spread":0.1831023099790586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000455079,0.0002471371,0.0004187626,0.00007820797,0.00007297583,0.00003038093,0.0001769832,0.0001510986,0.00000941479],"category_scores_gemma":[0.00008226902,0.0002179699,0.00004704529,0.0002088442,0.00007034165,0.0001113574,0.00005340069,0.0002917522,0.0001027885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006905015,"about_ca_system_score_gemma":0.00001056623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001009876,"about_ca_topic_score_gemma":0.000009562433,"domain_scores_codex":[0.9989904,0.00003414098,0.0001938723,0.0002357006,0.0001716142,0.0003742541],"domain_scores_gemma":[0.9991684,0.0003677607,0.00006060063,0.0003413937,0.00002367174,0.00003818745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005646061,0.00001528413,0.07798918,0.0008811937,0.00005727444,0.000007460106,0.001163275,0.1798971,0.7326326,0.0001616428,0.0008068923,0.006331657],"study_design_scores_gemma":[0.0007899678,0.0007382815,0.01776794,0.0006237209,0.00003606718,0.00003026444,0.00009571735,0.1986419,0.7808259,0.00001753394,0.00006339147,0.0003693464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960222,0.0001895488,0.0007969445,0.00005816499,0.0001942215,0.0002158537,0.000003359592,0.0008591333,0.001660585],"genre_scores_gemma":[0.9987032,0.0001227322,0.0005766533,0.0000229815,0.00001597078,0.000003804503,0.000002363387,0.00004475157,0.0005075041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06022124,"threshold_uncertainty_score":0.8888555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045254800","doi":"10.3390/aerospace7070099","title":"3D Cruise Trajectory Optimization Inspired by a Shortest Path Algorithm","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Cruise; Trajectory; Fuel efficiency; Computer science; Shortest path problem; Algorithm; Power consumption; Floyd–Warshall algorithm; Dijkstra's algorithm; Graph; Environmental science; Power (physics); Aerospace engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007131550950650823,"gpt":0.1741928865953725,"spread":0.1670613356447217,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003590572,0.0001512109,0.0001262448,0.00002472769,0.00004885952,0.00004687684,0.0001075992,0.00006803684,0.0001732299],"category_scores_gemma":[0.00001267513,0.0001687962,0.00003359468,0.0002585554,0.0000164392,0.0001898748,0.00001987829,0.0000927332,0.00004250063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003647732,"about_ca_system_score_gemma":0.00000679439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004367552,"about_ca_topic_score_gemma":0.000002224184,"domain_scores_codex":[0.9993401,0.00001158598,0.0001395864,0.0001843589,0.0001406358,0.0001836899],"domain_scores_gemma":[0.9997223,0.00001145001,0.00002444527,0.0001178383,0.00002218014,0.0001018126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002614747,0.00001399727,0.00007894892,0.00001475024,0.00001893056,0.000002974803,0.0003548752,0.9399955,0.0001359309,0.00001350946,0.05187306,0.007494895],"study_design_scores_gemma":[0.0003028821,0.0000389769,0.00006673918,0.000008686035,0.00002083771,2.593769e-7,0.00006058791,0.9884915,0.0001754066,6.196242e-7,0.01064217,0.0001913681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001447545,0.0003647066,0.9910429,0.0004254195,0.0001685245,0.0002458128,0.00001615893,0.001144435,0.005144527],"genre_scores_gemma":[0.7328755,0.001056707,0.2622623,0.001181105,0.0003940552,0.00007792059,0.0006287224,0.0001864338,0.00133725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7314279,"threshold_uncertainty_score":0.6883311,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2509902617","doi":"10.3390/aerospace3030025","title":"Effect of the Backward-Facing Step Location on the Aerodynamics of a Morphing Wing","year":2016,"lang":"en","type":"article","venue":"Aerospace","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Airfoil; Morphing; Lift coefficient; Aerodynamics; Aerospace engineering; NACA airfoil; Angle of attack; Trailing edge; Lift-to-drag ratio; Wing; Pressure coefficient; Chord (peer-to-peer); Drag coefficient; Reynolds number; Structural engineering; Computer science; Drag; Engineering; Mechanics; Physics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.004285905692221155,"gpt":0.1860201441734458,"spread":0.1817342384812247,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003125479,0.00009424677,0.0001296194,0.00001689557,0.00005905312,0.000009220167,0.0001491446,0.00004443992,0.00001108468],"category_scores_gemma":[0.0002875143,0.00004416997,0.00005684288,0.0001417295,0.00004864444,0.00008526498,0.0000243344,0.00008689295,0.00001438945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004116726,"about_ca_system_score_gemma":0.00001015452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001127262,"about_ca_topic_score_gemma":0.00002629624,"domain_scores_codex":[0.9994242,0.00008213196,0.0001483899,0.00007783919,0.0001537067,0.000113762],"domain_scores_gemma":[0.9987777,0.0008417666,0.00006901118,0.0002586939,0.00003631838,0.0000164537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008222882,0.00001951336,0.005442203,0.0002682639,0.0001191378,3.799733e-7,0.0008146406,0.2495046,0.7201514,0.01383556,0.000725629,0.009036397],"study_design_scores_gemma":[0.001563068,0.0003656064,0.01264787,0.001336827,0.0001021877,0.000002703443,0.0001688627,0.2534438,0.72969,0.00008110287,0.0003165317,0.0002813608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8595254,0.00003437698,0.1389723,0.0006253488,0.000206304,0.0002149638,0.000004356059,0.0000490653,0.0003678155],"genre_scores_gemma":[0.9997222,0.00000720254,0.000075451,0.00002541961,0.00003365961,0.000009431423,3.897475e-7,0.00001488612,0.0001113953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1401967,"threshold_uncertainty_score":0.1801199,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386560420","doi":"10.3390/aerospace10090791","title":"Recent Advances in Airfoil Self-Noise Passive Reduction","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Airfoil; Morphing; Noise reduction; Noise (video); Computer science; Reduction (mathematics); Noise control; Computation; Trailing edge; Emphasis (telecommunications); Engineering; Aerospace engineering; Artificial intelligence; Telecommunications; Algorithm; Structural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.005190117465206628,"gpt":0.2195613315023668,"spread":0.2143712140371602,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008626137,0.0001113889,0.0001100734,0.00006962199,0.00003836564,0.00001812714,0.00008899323,0.00006451857,0.00002026412],"category_scores_gemma":[0.00002576529,0.0001181384,0.00002359663,0.0005101321,0.0000154137,0.0001325156,0.00002859318,0.0001622523,0.0001604315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365878,"about_ca_system_score_gemma":0.00001083445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003054197,"about_ca_topic_score_gemma":0.00005585183,"domain_scores_codex":[0.9993306,0.000009509588,0.000127876,0.0001558915,0.0001238148,0.000252246],"domain_scores_gemma":[0.9997153,0.00002398456,0.00001938582,0.000167424,0.00002858864,0.0000453094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005466481,0.00002967081,0.0005089014,0.00007445103,0.00001638683,0.00002958269,0.0006745224,0.9101058,0.006491284,0.0008853709,0.01306798,0.06811058],"study_design_scores_gemma":[0.0006448498,0.00005226602,0.00604191,0.0001072222,0.0000199506,0.00001187714,0.001035755,0.7377405,0.002311746,0.001912803,0.2495212,0.0005998871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97503,0.00420872,0.001950783,0.001031477,0.003859721,0.000294578,0.00001744322,0.002214866,0.01139241],"genre_scores_gemma":[0.9392833,0.05854158,0.001191869,0.00001680164,0.0001754451,0.00004226338,0.00002055274,0.00004549273,0.0006827608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2364533,"threshold_uncertainty_score":0.4817543,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3038437344","doi":"10.3390/aerospace7070090","title":"Predicting Rotor Heat Transfer Using the Viscous Blade Element Momentum Theory and Unsteady Vortex Lattice Method","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blade element momentum theory; Computational fluid dynamics; Mechanics; Heat transfer; Aerodynamics; Aerospace engineering; Blade element theory; Vortex; Rotor (electric); Convective heat transfer; Physics; Mechanical engineering; Turbine blade; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01831725533913533,"gpt":0.2546744465998009,"spread":0.2363571912606656,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004617231,0.0001872085,0.0001973767,0.00002878312,0.0001598151,0.0000632841,0.0001621034,0.00008576403,0.00000895518],"category_scores_gemma":[0.00007852591,0.0001408824,0.00004118894,0.0001763957,0.00005689164,0.00008452249,0.00006077155,0.0003027015,0.000004472432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004671798,"about_ca_system_score_gemma":0.000009589485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005574429,"about_ca_topic_score_gemma":0.00000911267,"domain_scores_codex":[0.9990566,0.00008170272,0.0001761513,0.0002156568,0.0001616019,0.000308222],"domain_scores_gemma":[0.9994442,0.0002375195,0.000009670228,0.0002311802,0.00001684793,0.0000605211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001959524,0.00007391201,0.008545247,0.0008739477,0.0009193224,0.0000632298,0.04791633,0.4321018,0.4673509,0.02115145,0.001915721,0.01889212],"study_design_scores_gemma":[0.0008361012,0.0002152394,0.0006166351,0.0001523684,0.0002498534,0.0000329872,0.01116049,0.5879003,0.3959931,0.0007042334,0.0016216,0.0005170623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5767401,0.0003364676,0.4201155,0.001260615,0.0001251034,0.0002643276,0.000005455059,0.0008916392,0.0002607987],"genre_scores_gemma":[0.9939919,0.00006788186,0.005472787,0.0002848138,0.00008618355,0.00001208631,0.000001045296,0.00004350168,0.00003978295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4172519,"threshold_uncertainty_score":0.5745018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391168708","doi":"10.3390/aerospace11020106","title":"Round-Robin Study for Ice Adhesion Tests","year":2024,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Université du Québec à Chicoutimi","funders":"","keywords":"Adhesion; Geology; Materials science; Composite material","retraction":null,"screen_n_in":null,"score":{"opus":0.01844617800047067,"gpt":0.2683340291686753,"spread":0.2498878511682046,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013387,0.0001183821,0.000116719,0.00006826775,0.00005659755,0.0000881749,0.0001185697,0.00007218073,0.000003300874],"category_scores_gemma":[0.000064442,0.0001054991,0.00003876754,0.0002061076,0.00001343177,0.00008279614,0.000033033,0.0001317024,0.000106012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006298895,"about_ca_system_score_gemma":0.000008282728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003827473,"about_ca_topic_score_gemma":0.00005447189,"domain_scores_codex":[0.9994466,0.000005441312,0.00009357953,0.0001689207,0.00008296067,0.000202542],"domain_scores_gemma":[0.9995719,0.000144612,0.000006664227,0.0002389649,0.00001703158,0.00002086737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006066417,0.0004475232,0.01287636,0.001957962,0.0005574733,0.00020903,0.01183403,0.02812862,0.1166514,0.01830728,0.6159846,0.1929851],"study_design_scores_gemma":[0.00250952,0.003005432,0.01887196,0.001411549,0.0003668668,0.00007138323,0.009568349,0.1170382,0.6895533,0.006652656,0.1485361,0.00241467],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96795,0.0007490146,0.02025752,0.0004369837,0.00117496,0.0004805599,0.000005866755,0.007487529,0.001457563],"genre_scores_gemma":[0.9966511,0.0000221641,0.001645502,0.00001538899,0.00006945463,0.00005611407,0.000002189583,0.00004153403,0.001496588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5729019,"threshold_uncertainty_score":0.4302129,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387133332","doi":"10.3390/aerospace10100843","title":"An Enhanced Incremental Nonlinear Dynamic Inversion Control Strategy for Advanced Unmanned Aircraft Systems","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Control theory (sociology); Nonlinear system; Control engineering; Cascade; Inversion (geology); Engineering; Control system; Computer science; Attitude control; Inner loop; Controller (irrigation); Aerospace engineering; Control (management); Artificial intelligence; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01188641635368984,"gpt":0.2600902924509175,"spread":0.2482038760972276,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002896224,0.0003165038,0.000447158,0.0001294198,0.0001229319,0.00007239527,0.0002767668,0.0001601843,0.000007105689],"category_scores_gemma":[0.00003954953,0.0003314847,0.0001114952,0.0003046837,0.00003793672,0.0003833943,0.00002370846,0.0001603182,0.0002414468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002612295,"about_ca_system_score_gemma":0.00003590127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004012049,"about_ca_topic_score_gemma":0.0001607267,"domain_scores_codex":[0.9983549,0.00006012945,0.0003641687,0.0003799211,0.0002692569,0.000571606],"domain_scores_gemma":[0.9990473,0.0001461614,0.00008905285,0.0004056958,0.0001301642,0.0001816447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001505424,0.00003133934,0.00006728287,0.0001624155,0.0001168344,0.0000127192,0.0001381647,0.4677171,0.5291655,0.00008107425,0.001138717,0.001218263],"study_design_scores_gemma":[0.003708852,0.0004052139,0.0002888561,0.00008579396,0.0000331047,0.000003144926,0.001259705,0.9859669,0.005942739,0.000009200697,0.001912009,0.0003844993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8246298,0.0004878288,0.1681733,0.0001285375,0.001613266,0.002089698,0.0003529251,0.002214339,0.0003102236],"genre_scores_gemma":[0.9971178,0.00003773713,0.001192212,0.00003603544,0.0002494351,0.0002273406,0.0002530971,0.0001237094,0.0007626605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5232227,"threshold_uncertainty_score":0.9999137,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3199619374","doi":"10.3390/aerospace8090267","title":"Neuroevolutionary Control for Autonomous Soaring","year":2021,"lang":"en","type":"article","venue":"Aerospace","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"Canadian Defence Academy","keywords":"Artificial neural network; Computer science; Network topology; Artificial intelligence; Control (management); Neuroevolution; Control engineering; Trajectory; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.00576684859933762,"gpt":0.1941652401722266,"spread":0.1883983915728889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003333051,0.00009607634,0.0001282762,0.00002411746,0.00006730601,0.00001765643,0.00007594233,0.00008507424,0.00003344226],"category_scores_gemma":[0.00004297595,0.0001124646,0.00005990749,0.0001130321,0.00002115918,0.00007791258,0.00001900082,0.000101162,0.00008553813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000528155,"about_ca_system_score_gemma":0.00002505644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001826231,"about_ca_topic_score_gemma":0.00001830506,"domain_scores_codex":[0.9994621,0.000006092279,0.0001034814,0.0001478521,0.00005455155,0.0002258751],"domain_scores_gemma":[0.9996454,0.00005531485,0.0000174468,0.0001930451,0.00005032658,0.00003852083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004081722,0.000172189,0.02195944,0.000318433,0.0003860779,0.000131331,0.0005206597,0.1368139,0.4375851,0.1346276,0.2427427,0.02470171],"study_design_scores_gemma":[0.005416326,0.0001990262,0.02277524,0.0000571713,0.0001306139,0.00015523,0.00045743,0.3201538,0.1881505,0.007302816,0.453911,0.001290947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2453011,0.003193697,0.7315561,0.007564414,0.001640046,0.0005275944,0.00007098151,0.003673946,0.006472086],"genre_scores_gemma":[0.9932606,0.00004837098,0.003491522,0.0002643874,0.00008404108,0.00005894747,0.00001458099,0.00003105804,0.002746529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7479594,"threshold_uncertainty_score":0.4586172,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385873037","doi":"10.3390/aerospace10080718","title":"EVTOL Tilt-Wing Aircraft Design under Uncertainty Using a Multidisciplinary Possibilistic Approach","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Multidisciplinary design optimization; Conceptual design; Wing configuration; Aerodynamics; Computer science; Stability (learning theory); Airworthiness; Tilt (camera); Automotive engineering; Simulation; Engineering; Aerospace engineering; Multidisciplinary approach; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05649623010959334,"gpt":0.2916827803596675,"spread":0.2351865502500742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003544822,0.0002652769,0.000231368,0.00007274593,0.0004062925,0.00004470277,0.0004232003,0.0001555277,0.0001040966],"category_scores_gemma":[0.000130436,0.0002337253,0.00008114514,0.001007835,0.000401021,0.0002960252,0.000586578,0.0002478573,0.0006372449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003803254,"about_ca_system_score_gemma":0.00002507175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568676,"about_ca_topic_score_gemma":0.00002106954,"domain_scores_codex":[0.9980781,0.00007925901,0.0002106636,0.0006469178,0.0003535433,0.0006314858],"domain_scores_gemma":[0.9990347,0.0001983655,0.00008440379,0.000564995,0.000009612048,0.0001079355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002607543,0.00007414728,0.005567639,0.00001400056,0.00001438831,0.00004191585,0.0005667353,0.9114938,0.07945672,0.0002167635,0.0009900066,0.0015378],"study_design_scores_gemma":[0.0007535104,0.0001392601,0.02272485,0.00005469965,0.0000439226,0.00004854017,0.004128797,0.9461976,0.005243254,0.01960041,0.0002382455,0.0008269518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5254079,0.00005268481,0.4709956,0.0003368125,0.000125393,0.0005491753,0.000005030636,0.001408385,0.001119046],"genre_scores_gemma":[0.8983579,0.00001613759,0.09967747,0.00006574375,0.00002379204,0.00004371411,0.000007911854,0.00004210547,0.001765179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3729501,"threshold_uncertainty_score":0.953104,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790912638","doi":"10.3390/aerospace5010028","title":"Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters","year":2018,"lang":"en","type":"article","venue":"Aerospace","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Quadrature (astronomy); Tracking (education); Radar tracker; Filter (signal processing); Doppler effect; Sensor fusion; Doppler radar; Radar; Real-time computing; Computer vision; Electronic engineering; Engineering; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01798877142057902,"gpt":0.2432935751475481,"spread":0.225304803726969,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003823776,0.0002267149,0.0001803175,0.000154933,0.0004710506,0.0005299474,0.0006142592,0.000155197,0.00005641325],"category_scores_gemma":[0.0002472182,0.0002019588,0.00008264639,0.0004287218,0.00006482931,0.003300028,0.0001226486,0.0001638781,0.0002294482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008273786,"about_ca_system_score_gemma":0.0000492906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007177623,"about_ca_topic_score_gemma":0.00001864165,"domain_scores_codex":[0.9984881,0.00004669965,0.0004020757,0.0002445585,0.0003994927,0.0004191024],"domain_scores_gemma":[0.9983374,0.0002222512,0.0002813775,0.000651943,0.0003831967,0.0001237935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007190241,0.0004408254,0.004426342,0.0002414993,0.00006376078,0.000004692764,0.006134582,0.2095976,0.001681199,0.01929574,0.5720065,0.1853882],"study_design_scores_gemma":[0.001432877,0.0002696792,0.00826655,0.00007933749,0.000006599347,0.00000308006,0.00006327889,0.8855967,0.003154521,0.00008461827,0.1007359,0.0003068811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006447939,0.000006400519,0.9894505,0.001396272,0.001327039,0.0004386711,0.0002899304,0.0004619421,0.0001813084],"genre_scores_gemma":[0.64915,0.000005053895,0.3475383,0.001590084,0.0001557359,0.0000436305,0.001469293,0.000009960198,0.00003787603],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.675999,"threshold_uncertainty_score":0.8235639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285006149","doi":"10.3390/aerospace9070370","title":"Aerial Footage Analysis Using Computer Vision for Efficient Detection of Points of Interest Near Railway Tracks","year":2022,"lang":"en","type":"article","venue":"Aerospace","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science; Pooling; Artificial intelligence; Computer vision; Point of interest; Object detection; Train; Aerial survey; Range (aeronautics); Remote sensing; Geography; Pattern recognition (psychology); Cartography; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01965039306656443,"gpt":0.2623818582854836,"spread":0.2427314652189192,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002345564,0.00006483184,0.0001473932,0.00004159683,0.0001882586,0.00001178766,0.0001014108,0.00002377244,0.00008831362],"category_scores_gemma":[0.000009162911,0.00006534714,0.0001374005,0.0004789895,0.00009658888,0.00002331063,0.0001243,0.00005783848,0.000003612166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009838524,"about_ca_system_score_gemma":0.000005404009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005265593,"about_ca_topic_score_gemma":0.000154517,"domain_scores_codex":[0.9993265,0.00004951054,0.0001771204,0.000193398,0.0001463814,0.0001070541],"domain_scores_gemma":[0.9995382,0.00005050419,0.0001546291,0.0002148437,0.00001114557,0.00003071504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009362004,0.0001682366,0.0007349763,0.000007375428,0.00005789745,3.110172e-7,0.0009744699,0.3323714,0.6550656,0.00002759229,0.0001126755,0.01038587],"study_design_scores_gemma":[0.0004903507,0.0003459839,0.01948285,0.000006044874,0.0001792694,0.000004488321,0.0002231089,0.9046006,0.0726442,0.00003927522,0.001851345,0.0001324825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8580669,0.000003165555,0.1415233,0.00004745774,0.0000968575,0.0001744227,0.00001362097,0.00001122671,0.0000631232],"genre_scores_gemma":[0.9853029,3.212912e-7,0.01460662,0.00001479425,0.00001727108,0.000002118016,0.000006821274,0.000007877981,0.00004130713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5824214,"threshold_uncertainty_score":0.2664779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3099257955","doi":"10.3390/aerospace7110166","title":"On the Design of Aeroelastically Scaled Models of High Aspect-Ratio Wings","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Aeroelasticity; Flight envelope; Aerodynamics; Flutter; Wind tunnel; Aerospace engineering; Envelope (radar); Structural engineering; Wing; Engineering; Scaling; Drag; Aerodynamic force; Aspect ratio (aeronautics); Computer science; Physics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.0222202277832744,"gpt":0.1904168723755557,"spread":0.1681966445922813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009335264,0.0001239222,0.0002256153,0.00001661956,0.00003644198,0.00001500405,0.0001703337,0.0000619278,0.0001128401],"category_scores_gemma":[0.0002194311,0.0000938671,0.00005174603,0.000165971,0.00006503038,0.0001102493,0.00001963136,0.0001446261,0.0000337764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001407449,"about_ca_system_score_gemma":0.00002172622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007165954,"about_ca_topic_score_gemma":0.000002878366,"domain_scores_codex":[0.9992548,0.00004274152,0.0002317453,0.0001204144,0.0002098543,0.00014051],"domain_scores_gemma":[0.9990264,0.0006298837,0.00005496355,0.000161703,0.00006114954,0.00006593165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005855803,0.00001558192,0.000005946196,0.00002308279,0.00003904074,6.973452e-7,0.0004392233,0.8311192,0.03929652,0.1264589,0.002494818,0.00004841795],"study_design_scores_gemma":[0.0004362621,0.0002415224,0.0001125935,0.00003262379,0.00002944771,4.028732e-7,0.00005407322,0.930835,0.06547437,0.002659838,0.00001820193,0.0001056801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05166321,0.00003195036,0.9448968,0.002062869,0.00006401292,0.0002235689,0.000008842126,0.000105282,0.0009435189],"genre_scores_gemma":[0.9963734,0.000009832813,0.003166548,0.0003327206,0.00004874989,0.00001164311,0.000001380722,0.0000209905,0.00003479575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9447101,"threshold_uncertainty_score":0.3827789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3137104176","doi":"10.3390/aerospace8030084","title":"Sensitivity Study of Ice Accretion Simulation to Roughness Thermal Correction Model","year":2021,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Reynolds-averaged Navier–Stokes equations; Mechanics; Freestream; Surface roughness; Surface finish; Sensitivity (control systems); Accretion (finance); Icing; Icing conditions; Environmental science; Meteorology; Computational fluid dynamics; Materials science; Reynolds number; Physics; Thermodynamics; Turbulence; Engineering; Astrophysics","retraction":null,"screen_n_in":null,"score":{"opus":0.01819642919536995,"gpt":0.2562323467481963,"spread":0.2380359175528263,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001130915,0.00008152087,0.0001231971,0.00004089352,0.00004265782,0.00001440702,0.00003230276,0.00006531851,0.000001415343],"category_scores_gemma":[0.0001352449,0.0000875881,0.0000197125,0.0002558279,0.000006869967,0.00008424812,0.00003612528,0.00009711444,0.000007117606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004772807,"about_ca_system_score_gemma":0.000007984316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001027773,"about_ca_topic_score_gemma":0.0002245327,"domain_scores_codex":[0.9995263,0.00002768405,0.0000980277,0.0001251065,0.0001155712,0.0001073481],"domain_scores_gemma":[0.9995586,0.00009291978,0.00002124567,0.0002208431,0.00009010263,0.00001630976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008951673,0.00004201956,0.001529924,0.00000981052,0.0000103335,0.000003030718,0.001398465,0.9598274,0.03162552,0.00001561919,0.0000969166,0.00543204],"study_design_scores_gemma":[0.0001353375,0.00004412061,0.008966187,0.00001998984,0.00001195421,0.000001176032,0.0011995,0.8292189,0.1603008,0.00001302309,0.000006883438,0.00008209854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7323506,0.000004980884,0.2665581,0.00003458132,0.0002536327,0.00008500057,8.794759e-7,0.0004465597,0.0002656569],"genre_scores_gemma":[0.9990286,0.000001989998,0.0007503919,0.00001228281,0.00002092786,0.000005035149,0.000002562796,0.00001548202,0.000162676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.266678,"threshold_uncertainty_score":0.3571739,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2742094793","doi":"10.3390/aerospace4030041","title":"Assessing the Ability of the DDES Turbulence Modeling Approach to Simulate the Wake of a Bluff Body","year":2017,"lang":"en","type":"article","venue":"Aerospace","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wake; Turbulence; Mechanics; Detached eddy simulation; Computational fluid dynamics; Reynolds-averaged Navier–Stokes equations; Drag coefficient; Reynolds number; Drag; Large eddy simulation; Physics; Turbulence modeling; Reynolds stress","retraction":null,"screen_n_in":null,"score":{"opus":0.02229076253311168,"gpt":0.2750836788120838,"spread":0.2527929162789721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004468995,0.00009279443,0.0001443351,0.00001292537,0.0002997351,0.0001455508,0.0006066169,0.00003668276,0.000003423197],"category_scores_gemma":[0.0001532499,0.00004569881,0.000108677,0.000116225,0.00009471783,0.0001386634,0.0001230317,0.0001267349,0.000001221627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001864773,"about_ca_system_score_gemma":0.00001561081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001881197,"about_ca_topic_score_gemma":0.00004177178,"domain_scores_codex":[0.9993456,0.000038501,0.0001869982,0.0001200255,0.0001858536,0.0001230132],"domain_scores_gemma":[0.9987172,0.00007299842,0.00007967132,0.001034429,0.00007212436,0.0000236111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001222834,0.00001167168,0.001052766,0.0000221328,0.00002880467,2.440485e-8,0.0006257672,0.9819873,0.01509523,0.0009777778,0.00002488561,0.0001724117],"study_design_scores_gemma":[0.00005034926,0.000003251702,0.009196724,0.00002096532,0.00002992565,2.584682e-7,0.0002694458,0.9885496,0.0016284,0.0001768746,0.0000179915,0.00005622019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8640403,0.00007326168,0.1327261,0.0007761859,0.00007809792,0.0001560489,0.000003686493,0.00002170376,0.002124666],"genre_scores_gemma":[0.9987098,0.00001438914,0.001145355,0.00003690522,0.00001904131,0.000006372208,5.655754e-7,0.00001139511,0.00005615507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1346696,"threshold_uncertainty_score":0.230535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390509768","doi":"10.3390/aerospace11010049","title":"Robust Trajectory Prediction Using Random Forest Methodology Application to UAS-S4 Ehécatl","year":2024,"lang":"en","type":"article","venue":"Aerospace","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Random forest; Overfitting; Trajectory; Computer science; Robustness (evolution); Machine learning; Estimator; Hyperparameter; Artificial intelligence; Data mining; Artificial neural network; Statistics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.0421752157963303,"gpt":0.2524388388753988,"spread":0.2102636230790685,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002585959,0.0001205689,0.0001232519,0.0001154377,0.00005166561,0.00005222452,0.00007896205,0.00008229268,0.0000307084],"category_scores_gemma":[0.00001926642,0.0001264086,0.00004363745,0.0003395026,0.00001345976,0.000152175,0.00001814366,0.0000969791,0.00005902044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049555,"about_ca_system_score_gemma":0.000008977084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002291794,"about_ca_topic_score_gemma":0.00006769219,"domain_scores_codex":[0.9993374,0.00003209232,0.0001456079,0.0002113982,0.0000991649,0.0001742761],"domain_scores_gemma":[0.9996817,0.00007649211,0.00001298347,0.0001590937,0.0000189576,0.00005074595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001191491,0.000004910037,0.0001662661,0.00008122047,0.00003206046,0.000001077261,0.0003155954,0.9863791,0.002203871,0.0007716286,0.006092051,0.003940256],"study_design_scores_gemma":[0.0002351194,0.00001861269,0.0005931003,0.00003246647,0.00005227375,0.000002330072,0.0000762647,0.9873103,0.0003347635,0.00004254153,0.01118268,0.0001195027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02181538,0.0004085198,0.973617,0.0001606919,0.000735543,0.0004161755,0.000004530733,0.00108291,0.001759205],"genre_scores_gemma":[0.9021111,0.0001128911,0.09631748,0.00005524442,0.0003623451,0.00009918052,0.0000677974,0.00006566588,0.0008082698],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8802958,"threshold_uncertainty_score":0.5154792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2947627688","doi":"10.3390/aerospace6060062","title":"The Effect of Chemical Reactivity on the Formation of Gaseous Oblique Detonation Waves","year":2019,"lang":"en","type":"article","venue":"Aerospace","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Detonation; Wedge (geometry); Mechanics; Oblique shock; Mach number; Physics; Shock wave; Euler equations; Thermodynamics; Chemistry; Explosive material; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.003950021889711572,"gpt":0.1986406325620979,"spread":0.1946906106723863,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002319766,0.00005647757,0.00007392742,0.00001902293,0.00002210689,0.00001002816,0.00007407397,0.00003346949,0.0000141284],"category_scores_gemma":[0.0001772985,0.00003217041,0.00003115538,0.0001119057,0.00002132037,0.00008893172,0.00001054558,0.00007630049,0.00001770739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002782577,"about_ca_system_score_gemma":0.000005821904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003306308,"about_ca_topic_score_gemma":0.000004144147,"domain_scores_codex":[0.999623,0.00002880458,0.0001020687,0.00004467222,0.0001418592,0.00005959661],"domain_scores_gemma":[0.9990197,0.0007256235,0.00005462155,0.0001411743,0.00004824189,0.00001065497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002313996,0.00004354504,0.001445214,0.0005458131,0.000042392,2.680695e-7,0.0008572045,0.017167,0.9301162,0.01991541,0.003955277,0.02568032],"study_design_scores_gemma":[0.0001512471,0.00006179224,0.0007129206,0.00002470394,0.000004147915,0.000001289019,0.00003046087,0.01845001,0.9795803,0.0001425925,0.0008033372,0.00003713195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952174,0.00005272582,0.0007633094,0.0003772757,0.00008404207,0.0001754343,0.00000181683,0.00004919022,0.003278778],"genre_scores_gemma":[0.9998171,0.00002646952,0.00001479496,0.00001407206,0.000007881809,0.00001042155,0.00000289374,0.000006172374,0.00010024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04946421,"threshold_uncertainty_score":0.1311871,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386368562","doi":"10.3390/aerospace10090778","title":"Space Manipulator Collision Avoidance Using a Deep Reinforcement Learning Control","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Spacecraft; Collision avoidance; Reinforcement learning; Space debris; Trajectory; Computer science; Collision; Robotic spacecraft; Space exploration; Deep space exploration; NASA Deep Space Network; Controller (irrigation); Aerospace engineering; Simulation; Control (management); Control theory (sociology); Engineering; Artificial intelligence; Physics; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.01125964722992671,"gpt":0.2166176617894674,"spread":0.2053580145595407,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028516,0.0002467591,0.0003136207,0.0001096445,0.0001778692,0.00008973417,0.0001378759,0.0001181307,0.00003860041],"category_scores_gemma":[0.00004540752,0.0002499725,0.0001015493,0.000515297,0.00002109701,0.0001601355,0.00003377499,0.0002387509,0.0005342841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001822914,"about_ca_system_score_gemma":0.00001664395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001242145,"about_ca_topic_score_gemma":0.00004963229,"domain_scores_codex":[0.9985952,0.00004137372,0.0002523929,0.00024845,0.0003077085,0.0005548933],"domain_scores_gemma":[0.9993685,0.00008016706,0.00006761758,0.000296802,0.00005423095,0.0001326119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001446105,0.00000290055,0.001864613,0.00005512289,0.0000523533,0.00002083627,0.0004074797,0.9571195,0.03904381,0.0004922504,0.0006234841,0.0003031599],"study_design_scores_gemma":[0.0010393,0.00004329073,0.001261441,0.00009314952,0.00002641327,0.000008215433,0.0005745215,0.9764271,0.002551387,0.0000144868,0.01764803,0.0003127002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7883288,0.002222776,0.1999893,0.0003545128,0.001479582,0.0009821117,0.000002895288,0.002687333,0.00395273],"genre_scores_gemma":[0.9956051,0.0001502156,0.0002487886,0.00004264437,0.0001950234,0.0000385726,0.000006082897,0.00007892533,0.003634709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2072763,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401170725","doi":"10.3390/aerospace11080625","title":"Bidirectional Long Short-Term Memory Development for Aircraft Trajectory Prediction Applications to the UAS-S4 Ehécatl","year":2024,"lang":"en","type":"article","venue":"Aerospace","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trajectory; Computer science; Long short term memory; Perspective (graphical); Artificial intelligence; Artificial neural network; Key (lock); Machine learning; Term (time); Recurrent neural network","retraction":null,"screen_n_in":null,"score":{"opus":0.01310894203966507,"gpt":0.2377574042903788,"spread":0.2246484622507137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001664605,0.0001246968,0.00009008568,0.00007236866,0.0002129905,0.00002755292,0.0001522333,0.0001206017,0.00002392928],"category_scores_gemma":[0.0000055241,0.0001079526,0.00005214751,0.0002215302,0.00003383436,0.00007008073,0.00002688308,0.0001914533,0.0001395488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978479,"about_ca_system_score_gemma":0.00005892697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002166683,"about_ca_topic_score_gemma":0.0001182439,"domain_scores_codex":[0.9993216,0.000006629076,0.0001562074,0.0002188646,0.00009111158,0.0002055928],"domain_scores_gemma":[0.9996438,0.00006825705,0.000007135147,0.0002098523,0.00002341898,0.00004755965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004980228,0.0001677079,0.008978659,0.000686294,0.0009573873,0.00001264717,0.006158812,0.09348685,0.03545604,0.00725483,0.1113939,0.7353971],"study_design_scores_gemma":[0.0002430058,0.00007653102,0.1008331,0.0001069683,0.00009668764,0.00005990167,0.0003011793,0.02905728,0.06564576,0.0002191852,0.802765,0.0005953572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1749543,0.002176847,0.8123586,0.002102333,0.001147946,0.001435465,0.00006052538,0.003959949,0.00180399],"genre_scores_gemma":[0.9925835,0.00004362618,0.00334679,0.00005761157,0.0002404468,0.001617042,0.00003925505,0.0000407709,0.002031016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8176291,"threshold_uncertainty_score":0.4402178,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401612140","doi":"10.3390/aerospace11080671","title":"Adaptive Incremental Nonlinear Dynamic Inversion Control for Aerial Manipulators","year":2024,"lang":"en","type":"article","venue":"Aerospace","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Nonlinear system; Adaptive control; Inversion (geology); Computer science; Weighting; Sylvester's law of inertia; Controller (irrigation); Inertia; Underactuation; Kalman filter; Actuator; Control engineering; Robot; Engineering; Artificial intelligence; Control (management); Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.006794173440123844,"gpt":0.2166153143542407,"spread":0.2098211409141169,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004420722,0.00008582721,0.00007385648,0.00003707606,0.00004707192,0.00003991239,0.00005069856,0.00005390639,0.00002739152],"category_scores_gemma":[0.000003185816,0.00008747973,0.00004126711,0.0001106187,0.00001246145,0.000100734,0.000009318789,0.00005315278,0.00005838181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183691,"about_ca_system_score_gemma":0.00001000834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001622139,"about_ca_topic_score_gemma":0.00003337113,"domain_scores_codex":[0.9996091,0.000003792502,0.00008566547,0.0001216724,0.00006062991,0.0001191404],"domain_scores_gemma":[0.9998243,0.00002657486,0.000008527895,0.00008900287,0.00001784213,0.00003378301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002629708,0.0001205473,0.0005016213,0.0004796504,0.0005728989,0.000009746843,0.001337718,0.7728611,0.1179874,0.031247,0.05571855,0.01890085],"study_design_scores_gemma":[0.0003733442,0.00003391048,0.00006174679,0.00001676951,0.00002579757,9.322512e-7,0.00005974969,0.9912925,0.001119975,0.00007523339,0.006838288,0.0001017125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1759289,0.00047001,0.8200788,0.0002425331,0.0008701955,0.000764312,0.0001348036,0.0007547878,0.0007556354],"genre_scores_gemma":[0.9862467,0.00003637512,0.01320004,0.00002738115,0.0001141516,0.00007100291,0.00007917067,0.00003317336,0.0001919785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8103178,"threshold_uncertainty_score":0.356732,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387344389","doi":"10.3390/aerospace10100867","title":"Experimental and Numerical Modal Analysis of a Composite Rocket Structure","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Finite element method; Rocket (weapon); Modal analysis; Numerical analysis; Stiffness; Structural engineering; Modal; Hammer; Computer simulation; Experimental data; Computer science; Engineering; Aerospace engineering; Mathematics; Materials science; Simulation","retraction":null,"screen_n_in":null,"score":{"opus":0.004116673227902326,"gpt":0.2175404379792174,"spread":0.2134237647513151,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000193116,0.00009918874,0.000242126,0.0001919314,0.00003564061,0.00002122115,0.00005670171,0.00004343483,0.00006940863],"category_scores_gemma":[0.000001963543,0.00009352862,0.00007848982,0.001250552,0.00001706405,0.00005173108,0.00003427857,0.00005370681,0.000001782851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002065078,"about_ca_system_score_gemma":0.000002018343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000301883,"about_ca_topic_score_gemma":0.00001121124,"domain_scores_codex":[0.9995108,0.00001021012,0.000122834,0.0001256052,0.0001163837,0.0001141867],"domain_scores_gemma":[0.9997599,0.00001926922,0.00002430395,0.0001327992,0.00001812358,0.00004564089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006536392,0.000005208701,0.01165312,0.000009636105,0.0006619466,0.000001991857,0.0007199132,0.6752158,0.3108099,0.00007102253,0.0003790575,0.0004659143],"study_design_scores_gemma":[0.0001283675,0.00001544713,0.05974916,0.000003078298,0.000330094,0.000001216394,0.00009652236,0.8791775,0.06028905,0.00001455455,0.00008199034,0.0001130282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897662,0.0002589937,0.009531765,0.00003069178,0.0000451317,0.00003911216,0.00002577156,0.0001362865,0.0001660231],"genre_scores_gemma":[0.9986818,0.00001321803,0.001132411,0.00001159924,0.00001709327,0.000001529907,0.00009387475,0.00001226726,0.0000361458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2505208,"threshold_uncertainty_score":0.3813986,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3026267750","doi":"10.3390/aerospace7050060","title":"Unsteady Lift Prediction with a Higher-Order Potential Flow Method","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Airfoil; Lift coefficient; Lift (data mining); Unsteady flow; Vortex; Mechanics; Mathematics; Control theory (sociology); Computer science; Simulation; Physics; Reynolds number; Artificial intelligence; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.006158091352295094,"gpt":0.1932858328210422,"spread":0.1871277414687471,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004430125,0.0001124022,0.0001306608,0.00002680356,0.00004306406,0.00005744619,0.00006559199,0.00005562258,0.0002028536],"category_scores_gemma":[0.000006053902,0.00009991181,0.00004169123,0.0003574276,0.00001102858,0.0001251351,0.00001381948,0.0001113385,0.00006251343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002158354,"about_ca_system_score_gemma":0.00001096472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001849605,"about_ca_topic_score_gemma":0.00002750869,"domain_scores_codex":[0.9994348,0.0000181653,0.0001065455,0.0001579154,0.0001496318,0.0001328917],"domain_scores_gemma":[0.9997032,0.000009691193,0.00001642719,0.000125128,0.00004256813,0.0001029596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001686126,0.000009056418,0.0002751212,0.00001963792,0.0001209413,0.000005764613,0.0002263148,0.9831586,0.007046664,0.0005108967,0.007778527,0.0008316256],"study_design_scores_gemma":[0.0003060591,0.00005535502,0.0006996395,0.000005047707,0.00005868965,0.000001748439,0.00003804724,0.9918427,0.0005502607,0.000008077465,0.006320161,0.0001141736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006496049,0.00007271524,0.9880521,0.002779527,0.0001593091,0.00007917752,0.00001863115,0.0004570911,0.001885419],"genre_scores_gemma":[0.8866657,0.00004598229,0.1112348,0.000571241,0.0002526793,0.00001356299,0.00006821285,0.00005301502,0.001094811],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8801697,"threshold_uncertainty_score":0.4074286,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3129641858","doi":"10.3390/aerospace8020053","title":"A Numerical and Experimental Investigation of the Convective Heat Transfer on a Small Helicopter Rotor Test Setup","year":2021,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Icing; Heat transfer; Mechanics; Rotor (electric); Icing conditions; Aerospace engineering; Wind tunnel; Convective heat transfer; Reynolds number; Computational fluid dynamics; Physics; Mechanical engineering; Meteorology; Engineering; Turbulence","retraction":null,"screen_n_in":null,"score":{"opus":0.01133153973263787,"gpt":0.1986196926158126,"spread":0.1872881528831747,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002696684,0.00008655769,0.0001065585,0.00001583468,0.00003547625,0.00001293873,0.00004850933,0.00006073686,0.000004697446],"category_scores_gemma":[0.00003956924,0.00006616797,0.00002815044,0.0001140536,0.00006980127,0.00002397745,0.00001780924,0.000113996,0.00000357995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003177116,"about_ca_system_score_gemma":0.000009720467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004355366,"about_ca_topic_score_gemma":0.00001220016,"domain_scores_codex":[0.9996389,0.00001418667,0.00007339542,0.0001088354,0.00006742735,0.00009728827],"domain_scores_gemma":[0.9997288,0.0000740558,0.000003833186,0.0001545871,0.00001717869,0.00002152759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001722015,0.00004985573,0.02306211,0.00007275865,0.00004011847,0.000007908395,0.004432593,0.002237727,0.9684349,0.0005387861,0.0006401908,0.0004658923],"study_design_scores_gemma":[0.0002263406,0.0000841493,0.008493583,0.00007051768,0.000005772157,0.00001021042,0.0004037656,0.001515222,0.9890333,0.00003609981,0.00004644344,0.00007454846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977896,0.0001209035,0.0008347486,0.0005223939,0.00008875598,0.0001069338,0.000003578817,0.0001853072,0.0003478083],"genre_scores_gemma":[0.9994925,0.000006582699,0.0002688845,0.0001305564,0.00001233049,0.00001964208,0.000001054019,0.000012911,0.00005550601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02059851,"threshold_uncertainty_score":0.2698251,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388702903","doi":"10.3390/aerospace10110960","title":"Data Downloaded via Parachute from a NASA Super-Pressure Balloon","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"BGC Engineering (Canada); Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Durham University; Royal Society; Canadian Institute for Advanced Research; California Institute of Technology; National Aeronautics and Space Administration","keywords":"Telescope; Balloon; Descent (aeronautics); Stratosphere; Geology; Meteorology; Physics; Remote sensing; Astronomy; Geodesy; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.02361713346964357,"gpt":0.2184545137813567,"spread":0.1948373803117132,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002052729,0.0003200154,0.0003383453,0.00007269801,0.00008471995,0.0000849073,0.0007499838,0.0002123788,0.00008334066],"category_scores_gemma":[0.00003957024,0.0003261135,0.00006327039,0.0005118363,0.00002972117,0.0003123178,0.0002333286,0.0002959039,0.001585858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003665641,"about_ca_system_score_gemma":0.00001232348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007302336,"about_ca_topic_score_gemma":0.0002941499,"domain_scores_codex":[0.9983876,0.00002805412,0.0002344876,0.0004710246,0.0003075371,0.0005712674],"domain_scores_gemma":[0.9981678,0.0001012488,0.00002638687,0.001497157,0.00002246618,0.0001849562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001121705,0.00001934829,0.002820129,0.0001343651,0.0004604319,0.00007686586,0.0008246536,0.5705097,0.06747594,0.0001350845,0.3561598,0.001372415],"study_design_scores_gemma":[0.0005940492,0.00002263892,0.006774805,0.00009616603,0.0000814775,0.000009432449,0.0002162984,0.6300662,0.003563209,0.00003565209,0.35781,0.0007301334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9129934,0.008036353,0.04545238,0.001443154,0.007651047,0.0005561759,0.002040273,0.01679258,0.005034681],"genre_scores_gemma":[0.9927022,0.0001926132,0.0008027,0.00003058104,0.000477949,0.00003545854,0.0009897742,0.0001143317,0.004654426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07970881,"threshold_uncertainty_score":0.9999191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362557288","doi":"10.3390/aerospace10040357","title":"A Novel Fault-Tolerant Air Traffic Management Methodology Using Autoencoder and P2P Blockchain Consensus Protocol","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Autoencoder; Computer science; Protocol (science); Blockchain; Distributed computing; Fault tolerance; Data mining; Artificial neural network; Air traffic management; Air traffic control; Artificial intelligence; Real-time computing; Computer security; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05068919920931277,"gpt":0.2908792923209996,"spread":0.2401900931116868,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003554165,0.0002030742,0.0002093606,0.0001663666,0.0001021267,0.00002960663,0.00009866867,0.00008858467,0.00002265346],"category_scores_gemma":[0.00001357832,0.0002071528,0.00003921523,0.0004478284,0.00005253531,0.00003046572,0.00007745568,0.0001078328,0.00002368985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005023358,"about_ca_system_score_gemma":0.000006991623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009790447,"about_ca_topic_score_gemma":0.00002936795,"domain_scores_codex":[0.9989694,0.0000434294,0.0002132094,0.000273594,0.000147606,0.0003527512],"domain_scores_gemma":[0.9996003,0.00007417696,0.00004044192,0.0001990015,0.00002180995,0.00006428628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001254523,0.0000173164,0.00002083944,0.0002320124,0.00007258877,0.00002298949,0.0004715219,0.991409,0.0004653838,0.0006080571,0.003957189,0.002710568],"study_design_scores_gemma":[0.001049451,0.00002421731,0.0004339073,0.00003789634,0.0000405632,0.00001007702,0.0004303241,0.9916577,0.00009761743,0.00002118725,0.005962464,0.0002345584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1723126,0.00006158854,0.7602767,0.00172514,0.0006946825,0.05467829,0.00001575988,0.005062318,0.005172857],"genre_scores_gemma":[0.2410483,0.00003805928,0.7257501,0.000416068,0.0002171028,0.02465567,0.00003386589,0.0002554283,0.007585318],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0687357,"threshold_uncertainty_score":0.8447444,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2605823509","doi":"10.3390/aerospace4020020","title":"Perpetual Solar-Powered Flight across Regions around the World for a Year-Long Operation","year":2017,"lang":"en","type":"article","venue":"Aerospace","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Satellite; Solar powered; Meteorology; Low altitude; Aerospace engineering; Aeronautics; Environmental science; Computer science; Remote sensing; Altitude (triangle); Geography; Solar energy; Engineering; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01743108762068431,"gpt":0.2799781990707231,"spread":0.2625471114500388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001162422,0.00009259127,0.00007904225,0.00001298035,0.0008979996,0.0004182611,0.0002376836,0.0000469513,0.00002095355],"category_scores_gemma":[0.00002828378,0.00007480566,0.00004445337,0.00005457828,0.00005288511,0.000242776,0.00003448805,0.00008157055,0.00005289055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000417046,"about_ca_system_score_gemma":0.00001066164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002981234,"about_ca_topic_score_gemma":0.001895205,"domain_scores_codex":[0.999507,0.000005780641,0.00009739544,0.0001318131,0.00007197496,0.0001860668],"domain_scores_gemma":[0.999284,0.00003765771,0.00003966736,0.0005547359,0.00004889231,0.00003502462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000153657,0.0002996052,0.02089859,0.0002286543,0.0005246301,0.000006624378,0.01782232,0.3310121,0.0252559,0.1938692,0.3896554,0.0202733],"study_design_scores_gemma":[0.002576817,0.00008577543,0.06163167,0.00008998794,0.0001082905,0.00001303082,0.00182927,0.4891157,0.01577725,0.001022214,0.4267185,0.001031443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2000235,0.0003400431,0.7718602,0.009518655,0.000967772,0.001729822,0.00008869573,0.0005532037,0.01491811],"genre_scores_gemma":[0.9859977,0.00005750144,0.00407391,0.00005097966,0.000228547,0.0001979777,0.00003532915,0.00003141161,0.009326689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7859741,"threshold_uncertainty_score":0.6906778,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206652864","doi":"10.3390/aerospace9010038","title":"Travel Bubbles in Air Transportation: Myth or Reality?","year":2022,"lang":"en","type":"article","venue":"Aerospace","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Bankruptcy; Aviation; Destinations; Air travel; Coronavirus disease 2019 (COVID-19); Identification (biology); Normality; Meaning (existential); Business; Computer science; Marketing; Tourism; Engineering; Political science; Finance; Psychology; Law; Mathematics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.2741267284074804,"gpt":0.4251663508993286,"spread":0.1510396224918482,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008004939,0.000142357,0.000371246,0.00003481076,0.000188573,0.000003572576,0.0001908857,0.00004484724,0.0004381671],"category_scores_gemma":[0.0008895412,0.0001111144,0.00007922944,0.0003594803,0.00005771325,0.00004657379,0.00005221753,0.0002392424,0.00001006652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850388,"about_ca_system_score_gemma":0.00004540052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009845417,"about_ca_topic_score_gemma":0.003315729,"domain_scores_codex":[0.9986566,0.0001775081,0.000344842,0.000300506,0.0002461519,0.0002744334],"domain_scores_gemma":[0.9979007,0.001672038,0.000110267,0.0002454462,0.00002199893,0.00004951802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009050296,0.001532312,0.1812496,0.0006921625,0.0001783055,0.0005429888,0.02538228,0.004163813,0.000918019,0.4377322,0.3446747,0.002028523],"study_design_scores_gemma":[0.001963916,0.0005288668,0.7118866,0.00005490222,0.00007055395,0.000008272989,0.01031255,0.0002485492,0.0003480662,0.2095837,0.06429587,0.0006980676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9080995,0.0004023539,0.005446982,0.08029456,0.000279937,0.0009799481,0.0001896983,0.000398127,0.00390885],"genre_scores_gemma":[0.9897214,0.00005789846,0.003384328,0.00286223,0.000039978,0.0002107911,0.00001351927,0.00001879576,0.003691043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.530637,"threshold_uncertainty_score":0.4797623,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3046437079","doi":"10.3390/aerospace7080110","title":"Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine Components","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remanufacturing; Component (thermodynamics); Reliability engineering; Manufacturing cost; Original equipment manufacturer; Margin (machine learning); System lifecycle; Computer science; Turbine; Service (business); Systems engineering; Engineering; Manufacturing engineering; Software; Application lifecycle management; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04454153193538143,"gpt":0.228233902872618,"spread":0.1836923709372366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000845156,0.000197386,0.000272,0.00005122959,0.00006816429,0.00002055154,0.0002052352,0.0001076918,0.00002228108],"category_scores_gemma":[0.0001695888,0.0002080442,0.00006710068,0.0001176866,0.00003288546,0.0001134874,0.00005695734,0.0001557232,0.000006972294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005386079,"about_ca_system_score_gemma":0.000009808341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007692882,"about_ca_topic_score_gemma":0.00000156412,"domain_scores_codex":[0.9991538,0.00001641984,0.0002153571,0.0002240667,0.0001189665,0.0002714025],"domain_scores_gemma":[0.9995083,0.0001216367,0.00006396721,0.0001762268,0.00006378358,0.00006609282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003394853,0.00000997369,0.000004262416,0.00007664696,0.00004456003,7.688081e-7,0.000109877,0.9932407,0.00397263,0.00003176691,0.001281328,0.001193564],"study_design_scores_gemma":[0.000407041,0.000061886,0.00004413266,0.00005176971,0.00002089418,7.463961e-7,0.00009258107,0.8992739,0.09942102,0.00007697248,0.0003664303,0.0001826077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03237783,0.0001244477,0.9653014,0.000333032,0.00009378291,0.0005057137,0.0001002158,0.001078377,0.00008520015],"genre_scores_gemma":[0.8077216,0.00006700549,0.1919628,0.0000282971,0.00001941457,0.00005041658,0.00007612755,0.00004835116,0.00002603718],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7753437,"threshold_uncertainty_score":0.8483798,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4221066289","doi":"10.3390/aerospace9030160","title":"A Multidisciplinary Possibilistic Approach to Size the Empennage of Multi-Engine Propeller-Driven Light Aircraft","year":2022,"lang":"en","type":"article","venue":"Aerospace","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Airworthiness; Airframe; Propeller; Sizing; Propulsion; Multidisciplinary design optimization; Aerodynamics; Stability (learning theory); Controllability; Longitudinal static stability; Computer science; Flight envelope; Flight control surfaces; Aerospace engineering; Engineering; Control engineering; Multidisciplinary approach; Marine engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01604517027747595,"gpt":0.2382707390307834,"spread":0.2222255687533074,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001900506,0.0001711485,0.0001828662,0.00002843068,0.0003129121,0.0000108245,0.0007081355,0.00003904813,0.0006449283],"category_scores_gemma":[0.0001410577,0.0001195489,0.00006468264,0.0005704014,0.0002116877,0.00007271148,0.001462532,0.0002438719,0.0002333706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001295496,"about_ca_system_score_gemma":0.000009631653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006122146,"about_ca_topic_score_gemma":0.000029795,"domain_scores_codex":[0.998716,0.00006817485,0.0001757266,0.0004185294,0.0003187641,0.0003027798],"domain_scores_gemma":[0.9991222,0.0000893183,0.00008757403,0.0006274015,0.000005912523,0.0000675745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002544764,0.003562947,0.05280338,0.00009049197,0.000104236,0.00009372711,0.01641073,0.3533498,0.5275306,0.001766265,0.0289238,0.0151095],"study_design_scores_gemma":[0.009343209,0.005052549,0.4161165,0.0001475313,0.0002782523,0.0003060912,0.05008186,0.2022233,0.109557,0.004667284,0.1970442,0.005182297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8093597,0.0004752616,0.1038946,0.008493851,0.0003454432,0.005249487,0.00006522198,0.001372705,0.07074376],"genre_scores_gemma":[0.9177963,0.00000480587,0.05318633,0.00007974725,0.000007736137,0.0002115064,0.00000159792,0.00003736163,0.02867466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4179736,"threshold_uncertainty_score":0.7061512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4327956076","doi":"10.3390/aerospace10030302","title":"Numerical Stabilization for Flutter Analysis Procedure","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Flutter; Solver; Control theory (sociology); Aerodynamics; Convergence (economics); Computer science; Eigenvalues and eigenvectors; Process (computing); Stability (learning theory); Mode (computer interface); Algorithm; Mathematical optimization; Applied mathematics; Mathematics; Engineering; Aerospace engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.007033254509731074,"gpt":0.2284299573312433,"spread":0.2213967028215122,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000589329,0.00007876699,0.0001070553,0.00009550332,0.00004256067,0.00002933271,0.00005854887,0.00003698064,0.00001255943],"category_scores_gemma":[0.00002335293,0.00008154037,0.0000826925,0.001066094,0.000006485424,0.00004855742,0.0000102983,0.00003797635,0.00003656024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004338447,"about_ca_system_score_gemma":0.000008797208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002963443,"about_ca_topic_score_gemma":0.00003089277,"domain_scores_codex":[0.9995183,0.000003694739,0.00009875753,0.000127011,0.00009681166,0.0001553682],"domain_scores_gemma":[0.9997435,0.00006616524,0.00001042091,0.00009607073,0.00004740175,0.00003647122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001792813,0.000004846906,0.00353938,0.00002886091,0.00008907549,4.106827e-7,0.00008164928,0.9904352,0.0006650314,0.001612244,0.003290273,0.0002512765],"study_design_scores_gemma":[0.00008839712,0.000008860427,0.01968164,0.000002390302,0.00004923842,2.71136e-7,0.00001734609,0.9788269,0.0000419042,0.0004318836,0.0007534011,0.00009771933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4549057,0.00002456114,0.5434987,0.0004759722,0.0001558701,0.0001675405,0.00003504832,0.0005828785,0.0001537504],"genre_scores_gemma":[0.9971391,0.0000121466,0.001909371,0.00004248884,0.000051388,0.00003936935,0.0003150654,0.00002486932,0.0004662338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5422334,"threshold_uncertainty_score":0.332512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3016006926","doi":"10.3390/aerospace7040039","title":"Computer-Assisted Aircraft Anti-Icing Fluids Endurance Time Determination","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Icing; Takeoff; Snow; Computer science; Lift (data mining); Simulation; Environmental science; Marine engineering; Engineering; Automotive engineering; Meteorology; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.01171248760197916,"gpt":0.2024200178440572,"spread":0.190707530242078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005821342,0.0001616663,0.0002098537,0.00004776506,0.0000739047,0.00004758167,0.0001825153,0.0001106322,0.00001044587],"category_scores_gemma":[0.0000438289,0.0001693529,0.00004602171,0.0002813807,0.00003442218,0.0001201142,0.00005371608,0.0001843761,0.0002612925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004524461,"about_ca_system_score_gemma":0.000006804506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008062817,"about_ca_topic_score_gemma":0.000002105249,"domain_scores_codex":[0.9992599,0.00001282898,0.000154656,0.0001979953,0.0001299333,0.0002446516],"domain_scores_gemma":[0.9996302,0.00005142368,0.00002621579,0.0002084541,0.00002975217,0.00005402974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001347124,0.00004032409,0.004324836,0.0003490018,0.00008223296,0.0001231176,0.002530375,0.0456537,0.6586109,0.0002367368,0.0418268,0.2462085],"study_design_scores_gemma":[0.0004041429,0.00009356218,0.01394654,0.0001175802,0.00001914991,0.00002623378,0.00006387169,0.6747,0.3082895,0.00002160137,0.001935957,0.0003819056],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7056907,0.00009095573,0.286081,0.001507322,0.0003082319,0.0001298084,0.000004290133,0.005076956,0.001110819],"genre_scores_gemma":[0.9830564,0.00002230919,0.01645384,0.0002208156,0.0001120593,0.000004767434,0.00000600928,0.00003555559,0.0000882648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6290463,"threshold_uncertainty_score":0.6906011,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205283226","doi":"10.3390/aerospace9010028","title":"Transient Thrust Analysis of Rigid Rotors in Forward Flight","year":2022,"lang":"en","type":"article","venue":"Aerospace","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thrust; Transient (computer programming); Rotor (electric); Wake; Amplitude; Advance ratio; Aerospace engineering; Mechanics; Blade element theory; Blade (archaeology); Engineering; Control theory (sociology); Physics; Blade pitch; Structural engineering; Mechanical engineering; Computer science; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.003227488755788649,"gpt":0.1900180467697474,"spread":0.1867905580139588,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001168373,0.00008418126,0.000196564,0.000236157,0.00003618119,0.000007292596,0.0001169438,0.00001874569,0.0001639198],"category_scores_gemma":[0.000002831394,0.0000958842,0.0001186452,0.001011333,0.00001102104,0.00003662919,0.00003291828,0.0001131832,0.000002076441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398558,"about_ca_system_score_gemma":0.00001185685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006818268,"about_ca_topic_score_gemma":0.0003513983,"domain_scores_codex":[0.9993425,0.00001611288,0.0001848251,0.0001186043,0.0002006045,0.0001373322],"domain_scores_gemma":[0.999758,0.00004079972,0.00002068288,0.0001338037,0.00001629389,0.00003039449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004145225,0.0000270434,0.005234064,0.000008393066,0.0001381713,0.000003094578,0.0003742857,0.9901794,0.001115325,0.002506833,0.0001705174,0.0002387034],"study_design_scores_gemma":[0.0001581626,0.00001762663,0.06380838,0.000002166044,0.00007015439,5.794633e-7,0.000102758,0.934859,0.00004208455,0.00007555229,0.0007622372,0.0001013124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858541,0.0001213041,0.01230076,0.0001286867,0.0001591192,0.0001112438,0.0000826629,0.00005246777,0.001189622],"genre_scores_gemma":[0.9992037,0.00002027893,0.0005035364,0.00001918946,0.000006180429,0.00002588633,0.00006556862,0.00001427387,0.0001413903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05857432,"threshold_uncertainty_score":0.3910044,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403188028","doi":"10.3390/aerospace11100818","title":"Shock Wave and Aeroelastic Coupling in Overexpanded Nozzle","year":2024,"lang":"en","type":"article","venue":"Aerospace","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Aeroelasticity; Shock (circulatory); Nozzle; Shock wave; Mechanics; Physics; Aerodynamics; Thermodynamics; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.006303241107584485,"gpt":0.2042258720506459,"spread":0.1979226309430614,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005649812,0.0001032079,0.00009785629,0.00006220632,0.00002071665,0.00008206723,0.00003315511,0.00004305013,0.00001025562],"category_scores_gemma":[0.00001198266,0.0001082269,0.00001909091,0.0002100507,0.00001431626,0.00007973041,0.00002838177,0.0001334207,0.00001826793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008042458,"about_ca_system_score_gemma":0.00001459757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001736556,"about_ca_topic_score_gemma":0.0001786457,"domain_scores_codex":[0.9994978,0.000002225413,0.0001085441,0.0001494646,0.0000854387,0.0001564829],"domain_scores_gemma":[0.9997583,0.0001129118,0.000004112671,0.00006926846,0.00001266289,0.00004274393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002824068,0.000007805854,0.001042696,0.0001243066,0.00002045985,0.00004629119,0.0002065514,0.9763749,0.004405867,0.01663603,0.0003283909,0.0008039179],"study_design_scores_gemma":[0.0001175284,0.000008415865,0.01079942,0.0000950009,0.00000478157,0.00001022488,0.00002447349,0.9876342,0.00002627287,0.0009157063,0.0002419697,0.0001219719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752011,0.001399007,0.02194542,0.0001266518,0.0003786239,0.00007132024,0.000009306707,0.0002375135,0.0006310598],"genre_scores_gemma":[0.998651,0.0002161668,0.000772972,0.00001364635,0.00004174218,0.000005410587,0.00001186441,0.00002785067,0.0002593377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02344992,"threshold_uncertainty_score":0.4413365,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4322629442","doi":"10.3390/aerospace10030235","title":"Multi-Objective Design Optimization of Multiple Tuned Mass Dampers for Attenuation of Dynamic Aeroelastic Response of Aerospace Structures","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Aeroelasticity; Tuned mass damper; Truss; Reduction (mathematics); Optimal design; Control theory (sociology); Degrees of freedom (physics and chemistry); Minification; Computer science; Antenna (radio); Aerodynamics; Damper; Structural engineering; Engineering; Mathematical optimization; Mathematics; Aerospace engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01871805872021445,"gpt":0.2447191472299675,"spread":0.2260010885097531,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003709439,0.0001595093,0.0003291531,0.0001385061,0.00004370502,0.000007018749,0.0001209406,0.000143432,0.00001562524],"category_scores_gemma":[0.001153524,0.000144272,0.00009844421,0.000441031,0.00008936846,0.0001109947,0.00001928505,0.0000692153,0.000002234667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005241806,"about_ca_system_score_gemma":0.00003306269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000119333,"about_ca_topic_score_gemma":0.00001450103,"domain_scores_codex":[0.998977,0.0001176124,0.0003519184,0.0001840596,0.0001732379,0.000196168],"domain_scores_gemma":[0.9982706,0.001140167,0.0001321052,0.0001917276,0.0002209782,0.00004439376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004079144,0.00001016616,0.0002651621,0.00005206768,0.0000375338,1.967315e-7,0.0002899264,0.549274,0.4494997,0.00004590341,0.00005764953,0.0000597914],"study_design_scores_gemma":[0.001498802,0.0002397876,0.01837533,0.00003403733,0.0000330996,3.37755e-7,0.0002950432,0.8620532,0.1172839,0.00006476144,0.000001983926,0.0001197459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2541548,0.00006947762,0.7448501,0.00006960521,0.0001566294,0.000500689,0.00006732458,0.0001267965,0.00000462033],"genre_scores_gemma":[0.8973491,0.00004165143,0.1023278,0.000005367567,0.000009414811,0.00004984005,0.00004389087,0.00002892732,0.0001440456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6431943,"threshold_uncertainty_score":0.5883241,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}