{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":29,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":29,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"9a76e560c623","filters":{"venue":"Journal of Aerospace Information Systems"}},"results":[{"id":"W1930479197","doi":"10.2514/1.i010348","title":"Flight Trajectory Optimization Through Genetic Algorithms for Lateral and Vertical Integrated Navigation","year":2015,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":41,"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":"Federal Aviation Administration; Consejo Nacional de Ciencia y Tecnología","keywords":"Cruise; Trajectory; Trajectory optimization; Genetic algorithm; Fuel efficiency; Simulation; Reduction (mathematics); Aerospace engineering; Computer science; Control theory (sociology); Algorithm; Engineering; Mathematical optimization; Mathematics; Physics","authors":[{"name":"Roberto Salvador Félix Patrón","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01682964436848285,"gpt":0.2254675953036649,"spread":0.2086379509351821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006409098,0.000880806,0.0007613204,0.0008974514,0.0004727278,0.0007092032,0.0007740396,0.001016794,0.001779905],"category_scores_gemma":[0.001720594,0.0004307072,0.0006747941,0.0009855166,0.0005696201,0.0003924722,0.0006763293,0.0007774063,0.0002976691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105184,"about_ca_system_score_gemma":0.001691858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060697,"about_ca_topic_score_gemma":0.01319673,"domain_scores_codex":[0.9997436,0.0000854847,0.00001076008,0.00004013502,0.00007482735,0.00004516565],"domain_scores_gemma":[0.9994825,0.0003055637,0.00005931368,0.00002262477,0.0001086182,0.00002129561],"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":[0.00001145132,0.00001659353,0.0001627595,0.00001114569,0.00001174687,0.00001363002,0.00001613561,0.9868513,0.000298072,0.001844037,0.0001626465,0.01060052],"study_design_scores_gemma":[0.000005686165,0.000009605672,0.00004053595,0.00000258027,0.000002918808,0.000003533679,0.000004029785,0.9990755,0.0001011981,0.0005863206,0.0001662199,0.000001844352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04681073,0.0003518307,0.9458892,0.0001385994,0.00004132196,0.0001015017,0.00009104422,0.000486573,0.006089183],"genre_scores_gemma":[0.5544308,0.000308873,0.4393107,0.00008449407,0.00003361054,0.0005026912,0.0002819288,0.000128049,0.004918847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02060697,"threshold_uncertainty_score":0.04097402,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2161459240","doi":"10.2514/1.i010347","title":"Methodology for Vertical-Navigation Flight-Trajectory Cost Calculation Using a Performance Database","year":2015,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":38,"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; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Consejo Nacional de Ciencia y Tecnología","keywords":"Trajectory; Climb; Descent (aeronautics); Cruise; Benchmark (surveying); Computer science; Flight management system; Takeoff; Acceleration; Trajectory optimization; Flight simulator; Aerodynamics; Simulation; Control theory (sociology); Engineering; Aerospace engineering; Artificial intelligence","authors":[{"name":"Alejandro Murrieta-Mendoza","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09122841472473874,"gpt":0.2962515288316069,"spread":0.2050231141068681,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001296407,0.001060562,0.0008276295,0.001948936,0.0005531866,0.001929241,0.00205315,0.0005771388,0.006837263],"category_scores_gemma":[0.002630065,0.0005583985,0.0009304929,0.001761953,0.000282823,0.001080113,0.001163928,0.0009338221,0.0019318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009796596,"about_ca_system_score_gemma":0.002418962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007465278,"about_ca_topic_score_gemma":0.003968476,"domain_scores_codex":[0.9989119,0.0001649914,0.0001116801,0.0001755102,0.0005491248,0.00008693357],"domain_scores_gemma":[0.9989398,0.0002807373,0.0001044048,0.000147423,0.0004978068,0.00002982412],"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":[0.00008576412,0.0001965962,0.002763859,0.0006240127,0.00009885624,0.0002062925,0.0001569838,0.4820843,0.00939167,0.04826495,0.005249557,0.4508772],"study_design_scores_gemma":[0.00002363961,0.00007880517,0.0008471999,0.00004823635,0.00002878213,0.000117782,0.00007341731,0.9739192,0.005655265,0.007474449,0.0117051,0.00002812993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002689489,0.00007732675,0.994017,0.00002902675,0.00001620381,0.0001879708,0.0002802231,0.0009094571,0.001793256],"genre_scores_gemma":[0.09327658,0.0002730718,0.9011542,0.00002855727,0.00002612821,0.0008681596,0.001820721,0.0002662367,0.002286312],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007465278,"threshold_uncertainty_score":0.02287287,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2765215381","doi":"10.2514/1.i010540","title":"Four- and Three-Dimensional Aircraft Reference Trajectory Optimization Inspired by Ant Colony Optimization","year":2017,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":33,"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":"Trajectory; Trajectory optimization; Cruise; Ant colony optimization algorithms; Computer science; Rocket (weapon); Control theory (sociology); Engineering; Aerospace engineering; Algorithm; Artificial intelligence; Physics","authors":[{"name":"Alejandro Murrieta-Mendoza","is_ca":true},{"name":"Antoine Hamy","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01375807721108659,"gpt":0.2043515669267766,"spread":0.19059348971569,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003684616,0.00064765,0.0006118897,0.0006942198,0.0004099133,0.0006789672,0.0007028181,0.0005380618,0.0009615243],"category_scores_gemma":[0.0008366099,0.0002677849,0.0006087808,0.000701525,0.000470179,0.000410695,0.0005386064,0.000517286,0.000183429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004819749,"about_ca_system_score_gemma":0.0009899914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005870556,"about_ca_topic_score_gemma":0.003703368,"domain_scores_codex":[0.9998062,0.00005344721,0.00001080358,0.00002896617,0.00007682604,0.00002368884],"domain_scores_gemma":[0.9997074,0.0001084439,0.00005524194,0.00002796083,0.00008479462,0.00001597051],"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":[0.0000152566,0.00001260035,0.0002778612,0.00003370665,0.00001979123,0.00004019089,0.00002698562,0.9762296,0.002276449,0.004065546,0.000262069,0.01673995],"study_design_scores_gemma":[0.000003216104,0.00001791361,0.00007918696,0.000002522405,0.000003528261,0.00001383751,0.000006241999,0.998008,0.0004869803,0.0009274309,0.0004476036,0.00000361597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02455216,0.0002119844,0.9711298,0.00007725556,0.00003865865,0.00005190889,0.00003081248,0.0002779947,0.003629454],"genre_scores_gemma":[0.567522,0.0003732476,0.4284403,0.0000527749,0.00002041538,0.0002515881,0.0001615964,0.0001186458,0.003059349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005870556,"threshold_uncertainty_score":0.01167274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2801719811","doi":"10.2514/1.i010523","title":"Four-Dimensional Aircraft En Route Optimization Algorithm Using the Artificial Bee Colony","year":2018,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":31,"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 Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Trajectory; Atmosphere (unit); Trajectory optimization; Constraint (computer-aided design); Fuel efficiency; Computer science; Aerospace engineering; Environmental science; Meteorology; Aeronautics; Engineering; Mechanical engineering","authors":[{"name":"Alejandro Murrieta-Mendoza","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true},{"name":"Audric Bunel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01313982311046508,"gpt":0.2180885599694173,"spread":0.2049487368589522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000320196,0.0008028643,0.0009430916,0.0005511582,0.0004271326,0.0006362803,0.00102535,0.0009603868,0.00133912],"category_scores_gemma":[0.0007044895,0.000387674,0.0005915674,0.0006120423,0.000292395,0.0004003851,0.0005775322,0.0006409226,0.0002298457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005977221,"about_ca_system_score_gemma":0.001025726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01553034,"about_ca_topic_score_gemma":0.01007359,"domain_scores_codex":[0.9998509,0.00004201389,0.000009325389,0.00002923109,0.00004519799,0.00002334746],"domain_scores_gemma":[0.9997814,0.00009670723,0.00002992173,0.00001633593,0.00005792766,0.00001769738],"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":[0.00002294088,0.00002267367,0.0003001811,0.00001991967,0.00002922936,0.00003170234,0.00001822291,0.9781826,0.0009040377,0.0009574543,0.0004757205,0.0190354],"study_design_scores_gemma":[0.000006721355,0.00001101189,0.00004814398,0.000001672896,0.000003051226,0.000005104134,0.000003140634,0.9994045,0.0001133717,0.0002352372,0.0001662675,0.00000165424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06605244,0.0005017578,0.9260059,0.0002349651,0.00008313052,0.0001194192,0.0001115865,0.0008963808,0.005994329],"genre_scores_gemma":[0.5383018,0.0002672668,0.4556608,0.0001053793,0.00002446514,0.0004070536,0.0003617359,0.0001098183,0.004761867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01553034,"threshold_uncertainty_score":0.03087991,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2954561314","doi":"10.2514/1.i010663","title":"Identification and Validation of an Engine Performance Database Model for the Flight Management System","year":2019,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":25,"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 Montréal","funders":"Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Climb; Flight simulator; Takeoff; Descent (aeronautics); Engineering; Flight management system; Trajectory; Aircraft flight mechanics; Fly-by-wire; Simulation; Takeoff and landing; Computer science; Aerodynamics; Aerospace engineering","authors":[{"name":"Georges Ghazi","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01082003321707046,"gpt":0.2208430893755751,"spread":0.2100230561585046,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001251804,0.0006659254,0.0005391255,0.0005626297,0.0004310883,0.001400335,0.001087102,0.000662228,0.001560279],"category_scores_gemma":[0.00281641,0.0003196046,0.000538052,0.0002843672,0.0002420267,0.0008392204,0.0004526251,0.0006913316,0.0006835496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218381,"about_ca_system_score_gemma":0.001775796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810786,"about_ca_topic_score_gemma":0.00747719,"domain_scores_codex":[0.9992605,0.0001565845,0.00006250075,0.0001704848,0.0002923442,0.00005755698],"domain_scores_gemma":[0.9990053,0.0003533845,0.00008056005,0.0001698064,0.00037268,0.00001842692],"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":[0.0003032868,0.000296457,0.008677842,0.0001392249,0.00006827497,0.00009855044,0.00009490266,0.9322743,0.0120671,0.001884704,0.00070248,0.04339287],"study_design_scores_gemma":[0.00001631545,0.00007846088,0.002225247,0.000006949575,0.00001325557,0.0000171552,0.00001602539,0.9891438,0.007788457,0.0001873465,0.0005002318,0.000006690758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5642887,0.0002253686,0.4216575,0.000233046,0.00007389516,0.0004621814,0.001979781,0.003898085,0.007181452],"genre_scores_gemma":[0.9701719,0.00007158402,0.02680787,0.00002399087,0.000004558638,0.0001943862,0.001228309,0.00005477499,0.001442611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01810786,"threshold_uncertainty_score":0.0360049,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2995097341","doi":"10.2514/1.i010748","title":"New Adaptive Algorithm Development for Monitoring Aircraft Performance and Improving Flight Management System Predictions","year":2019,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":19,"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 Montréal","funders":"Canada Research Chairs","keywords":"Flight simulator; Fly-by-wire; Flight management system; Crew; Cruise; Aerodynamics; Aircraft flight mechanics; Reliability (semiconductor); Computer science; Simulation; Engineering; Algorithm; Aerospace engineering; Aeronautics","authors":[{"name":"Georges Ghazi","is_ca":true},{"name":"Benoît Gérardin","is_ca":true},{"name":"Magali Gelhaye","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005272257885015783,"gpt":0.1752661564817312,"spread":0.1699938985967154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002626,0.0004338469,0.0004571723,0.0005075493,0.0002261233,0.000577405,0.0008641767,0.0005394901,0.0009371414],"category_scores_gemma":[0.003083245,0.0002920899,0.0003344154,0.0003874647,0.0002750302,0.0007482357,0.0004026973,0.0007538778,0.0002406587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004049271,"about_ca_system_score_gemma":0.0008471346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004155518,"about_ca_topic_score_gemma":0.00292262,"domain_scores_codex":[0.9996241,0.00008820927,0.00003035672,0.00008494708,0.0001475286,0.00002472443],"domain_scores_gemma":[0.9990677,0.0004538787,0.00008309603,0.00009686787,0.0002788726,0.00001944787],"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":[0.0001411889,0.0001148615,0.003062218,0.00005737959,0.00006529985,0.00005122844,0.0001024714,0.6964751,0.01414205,0.004403226,0.0008330676,0.2805519],"study_design_scores_gemma":[0.00000565895,0.00001860951,0.0001596492,0.000001516095,0.000002951219,0.000008454849,0.0000027139,0.9980502,0.001247004,0.0002217591,0.0002793673,0.000002179283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01643599,0.00006921324,0.9823461,0.00003471737,0.00001905218,0.00003575706,0.00001499693,0.0005595096,0.0004846762],"genre_scores_gemma":[0.2864579,0.0001019134,0.7118328,0.00005117886,0.00002959588,0.0001871602,0.0001214145,0.00008586898,0.001132066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004155518,"threshold_uncertainty_score":0.008262634,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2791049891","doi":"10.2514/1.i010561","title":"Aircraft Vertical Route Optimization by Beam Search and Initial Search Space Reduction","year":2018,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","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":"Reduction (mathematics); Aerospace engineering; Space (punctuation); Computer science; Mathematical optimization; Physics; Engineering; Mathematics","authors":[{"name":"Alejandro Murrieta-Mendoza","is_ca":true},{"name":"Laurane Ternisien","is_ca":true},{"name":"Bruce Beuze","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009373355670403103,"gpt":0.2306751334176354,"spread":0.2213017777472323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108852,0.0007969164,0.0008910138,0.001060973,0.0004340574,0.0006360976,0.0007789959,0.000701538,0.00326047],"category_scores_gemma":[0.002462015,0.0005044987,0.0006716317,0.0008454351,0.0004783066,0.0008422306,0.000784195,0.0006734729,0.0007273039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004359037,"about_ca_system_score_gemma":0.0009702842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00498651,"about_ca_topic_score_gemma":0.00332909,"domain_scores_codex":[0.9995592,0.0001730856,0.00001903595,0.00004638214,0.0001534382,0.0000487267],"domain_scores_gemma":[0.9992913,0.000419086,0.00004714316,0.00006101161,0.0001661892,0.00001522577],"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":[0.00009673394,0.00005369522,0.0007278199,0.00007319333,0.0000355006,0.00002495251,0.00007405638,0.8973961,0.003136632,0.01041,0.001607045,0.08636432],"study_design_scores_gemma":[0.00002272402,0.00005446796,0.0001369309,0.00000916625,0.000007156631,0.00001353171,0.00001042891,0.996013,0.0009642577,0.001742529,0.001020086,0.000005716907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01879286,0.0001796702,0.9765942,0.00005134078,0.00001978359,0.00008170743,0.00006103808,0.0003460247,0.003873469],"genre_scores_gemma":[0.2039159,0.000274805,0.7918168,0.00009927591,0.00002588875,0.0005257962,0.0003001569,0.0002003846,0.002840972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00498651,"threshold_uncertainty_score":0.01090735,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280591100","doi":"10.2514/1.i011050","title":"Aircraft Mathematical Model Identification for Flight Trajectories and Performance Analysis in Cruise","year":2022,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","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":"École de Technologie Supérieure","funders":"Canada Research Chairs","keywords":"Cruise; Fuel efficiency; Range (aeronautics); Civil aviation; Crew; Aircraft flight mechanics; Trajectory; Engineering; Flight simulator; Operations research; Aviation; Aerodynamics; Aerospace engineering; Computer science; Aeronautics","authors":[{"name":"Georges Ghazi","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01246497420222587,"gpt":0.2336640258856696,"spread":0.2211990516834437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005064073,0.0008438862,0.000651366,0.0006641321,0.0004402712,0.0007898483,0.0007008504,0.000739568,0.00229654],"category_scores_gemma":[0.001842166,0.0004174815,0.0009313977,0.0004379454,0.0003542854,0.00102113,0.0005677717,0.001368568,0.001215743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006475337,"about_ca_system_score_gemma":0.001078378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094376,"about_ca_topic_score_gemma":0.005936867,"domain_scores_codex":[0.9997378,0.00006264784,0.00001577395,0.00006771417,0.00009486418,0.00002122438],"domain_scores_gemma":[0.9995016,0.0002372156,0.00007983979,0.00005838976,0.0001141106,0.000008780463],"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":[0.00001610636,0.00001791916,0.0004256312,0.00006676521,0.00001651474,0.00004182182,0.00004720646,0.9735278,0.002705693,0.005833704,0.0004007945,0.01689998],"study_design_scores_gemma":[0.000001718115,0.0000157531,0.0002441088,0.000007045405,0.00000430988,0.00001521476,0.000008508492,0.996978,0.0005852639,0.001134012,0.001000658,0.000005453376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006320263,0.0001082762,0.9908035,0.00005156525,0.00001546685,0.00002991437,0.0001116738,0.0002927478,0.002266671],"genre_scores_gemma":[0.7218034,0.001105677,0.2623474,0.00009357752,0.00007288297,0.0005743558,0.001427296,0.0003006073,0.01227475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01094376,"threshold_uncertainty_score":0.02176017,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4296455826","doi":"10.2514/1.i011104","title":"Identification of the Bombardier CRJ-700 Stall Dynamics Model Using Neural Networks","year":2022,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":9,"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":"Canada Research Chairs","keywords":"Stall (fluid mechanics); Artificial neural network; Aerodynamics; Computer science; Perceptron; Engineering; Simulation; Control theory (sociology); Artificial intelligence; Aerospace engineering","authors":[{"name":"Yvan Tondji","is_ca":true},{"name":"Mouhamadou Wade","is_ca":true},{"name":"Georges Ghazi","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007380222424694462,"gpt":0.2019134611736614,"spread":0.1945332387489669,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002457415,0.0005974663,0.0003617564,0.0003367951,0.0002346473,0.0003571431,0.0005769553,0.0005294961,0.0006219815],"category_scores_gemma":[0.0004714754,0.0002743754,0.0003868846,0.0001580772,0.0002174022,0.0004209071,0.0002583424,0.0005460966,0.0001481484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005082139,"about_ca_system_score_gemma":0.0005713881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01499696,"about_ca_topic_score_gemma":0.0102161,"domain_scores_codex":[0.999904,0.0000145145,0.000005904039,0.00003221079,0.00002866374,0.00001465202],"domain_scores_gemma":[0.9998977,0.00004034269,0.00002261731,0.00000818955,0.00002690002,0.000004142006],"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":[0.00002693449,0.00001792391,0.001053196,0.00002934482,0.00001663726,0.00003687271,0.00002324114,0.9795268,0.005984735,0.0003867139,0.0001162386,0.01278139],"study_design_scores_gemma":[8.922601e-7,0.00001033534,0.0003569236,0.000001668762,0.000002393822,0.000003997246,0.00000179585,0.9987726,0.0007109931,0.0000554654,0.00008102279,0.000001923668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2908802,0.0005389568,0.702258,0.0001385949,0.00004286459,0.00008118444,0.0002168843,0.001022798,0.004820503],"genre_scores_gemma":[0.9713477,0.0001618856,0.02589878,0.00002130559,0.000007345466,0.000084986,0.0001676087,0.00002418281,0.002286178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01499696,"threshold_uncertainty_score":0.02981931,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3093594148","doi":"10.2514/1.i010854","title":"Cessna Citation X Takeoff and Departure Trajectories Prediction in Presence of Winds","year":2020,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Aerospace and Aviation Technology","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":"Université du Québec à Montréal","funders":"Canada Research Chairs","keywords":"Takeoff; Climb; Takeoff and landing; Thrust; Trajectory; Avionics; Elevator; Flight simulator; Aerospace engineering; Equations of motion; Acceleration; Simulation; Aerodynamics; Computer science; Control theory (sociology); Engineering; Physics; Classical mechanics","authors":[{"name":"Georges Ghazi","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true},{"name":"Nicolas Maniette","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008693551814784867,"gpt":0.1906727028602014,"spread":0.1819791510454165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002246452,0.0005159257,0.0003124969,0.0007008631,0.0003870389,0.0005614416,0.0003717545,0.0003798802,0.001287582],"category_scores_gemma":[0.001126055,0.0001854399,0.0002831886,0.0003608932,0.0001270869,0.0003374656,0.0003518803,0.0003753463,0.0004002879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002995803,"about_ca_system_score_gemma":0.0005905708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503795,"about_ca_topic_score_gemma":0.009675168,"domain_scores_codex":[0.9998842,0.00001382625,0.000007007893,0.00002775236,0.00005180849,0.00001522298],"domain_scores_gemma":[0.9997192,0.00007839861,0.00005568993,0.00002901213,0.00009090756,0.00002684028],"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":[0.0005665562,0.00009288496,0.07757925,0.0001016066,0.00005985248,0.0005400856,0.0003021348,0.6699972,0.02352918,0.001750867,0.001536997,0.2239433],"study_design_scores_gemma":[0.000008535808,0.00005449515,0.009770821,0.0000078375,0.00000809751,0.00006958327,0.00006029883,0.9846103,0.004334349,0.0001944055,0.0008709509,0.00001037601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7104673,0.0001244084,0.2825807,0.00005218805,0.00004061259,0.00008376796,0.0004560809,0.001676964,0.004517928],"genre_scores_gemma":[0.9511741,0.00007280714,0.04635331,0.00000551215,0.000006516684,0.00003326018,0.0006137195,0.00005690421,0.00168395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01503795,"threshold_uncertainty_score":0.02990085,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790477128","doi":"10.2514/1.i010493","title":"Automation Intent Inference Using the GFHMM for Flight Deck Mode Confusion Detection","year":2018,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Office of the Director; National Science Foundation","keywords":"Automation; Cockpit; Confusion; Inference; Computer science; Mode (computer interface); Aeronautics; Deck; Engineering; Simulation; Systems engineering; Operations research; Artificial intelligence; Human–computer interaction; Psychology","authors":[{"name":"Hao Lyu","is_ca":false},{"name":"Jayaprakash Suraj Nandiganahalli","is_ca":false},{"name":"Inseok Hwang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01510135439560023,"gpt":0.2644786932490842,"spread":0.249377338853484,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001378017,0.00152234,0.001077188,0.003548941,0.0009700006,0.001657008,0.001951592,0.001387348,0.01293035],"category_scores_gemma":[0.007025221,0.0005013014,0.001883065,0.0008678591,0.0005873882,0.001541681,0.002208415,0.00142768,0.005241074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000928545,"about_ca_system_score_gemma":0.001720008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01161747,"about_ca_topic_score_gemma":0.01373884,"domain_scores_codex":[0.9983297,0.0002451979,0.0001164191,0.0004866205,0.0006091371,0.0002130044],"domain_scores_gemma":[0.9983692,0.0006543697,0.0001606395,0.0003102308,0.0004307238,0.00007484715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005506683,0.0002761487,0.01504022,0.0003864692,0.0001400957,0.0005789063,0.0003409858,0.02607414,0.01446188,0.005158318,0.04215963,0.8948326],"study_design_scores_gemma":[0.00005509661,0.0001806497,0.008573836,0.0001211869,0.00006690945,0.0002714598,0.0002307096,0.9434667,0.01625568,0.01621622,0.01449617,0.00006543908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03295409,0.0006108128,0.9125324,0.0004600433,0.0003290231,0.0004725257,0.003432948,0.04026425,0.008943777],"genre_scores_gemma":[0.4229034,0.0002661149,0.5588016,0.0004687313,0.0001921559,0.000616111,0.008292649,0.0008294045,0.007629859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01293035,"threshold_uncertainty_score":0.04325628,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790625987","doi":"10.2514/1.i010565","title":"Toward Smarter Autoflight Control System Infrastructure","year":2018,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Flight plan; Aviation; Air traffic control; Control (management); Plan (archaeology); Systems engineering; Computer science; The Internet; Human-in-the-loop; Engineering; Real-time computing","authors":[{"name":"Stephan G. Heinemann","is_ca":true},{"name":"Hausi Müller","is_ca":true},{"name":"Afzal Suleman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008696341027396828,"gpt":0.2157712806959193,"spread":0.2070749396685225,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008889219,0.0003882602,0.0003263194,0.0005042091,0.0003831681,0.001318127,0.001361584,0.0008502686,0.002265119],"category_scores_gemma":[0.001839197,0.0002437866,0.0002245414,0.0003707556,0.0005285628,0.00264929,0.001444631,0.001219905,0.0007496475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005249097,"about_ca_system_score_gemma":0.001162956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00250266,"about_ca_topic_score_gemma":0.00263532,"domain_scores_codex":[0.9995759,0.00009073906,0.00002762741,0.00009711698,0.0001515417,0.00005696247],"domain_scores_gemma":[0.9993029,0.0001383882,0.00006993563,0.0002328115,0.0001785954,0.00007738688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002469023,0.0004027038,0.004993379,0.0002312637,0.00006846058,0.0002318997,0.0005596553,0.4313196,0.07474916,0.07675797,0.01163057,0.3988085],"study_design_scores_gemma":[0.00002865398,0.0001296792,0.001015361,0.00003048077,0.00001564891,0.0000612283,0.0001165297,0.9444059,0.0107066,0.0203201,0.02314867,0.00002115298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04620378,0.0004331899,0.9338882,0.001384687,0.00008189649,0.0002161232,0.0001390672,0.007201564,0.01045152],"genre_scores_gemma":[0.5333112,0.0005516724,0.460985,0.0005464383,0.00007177368,0.0002020236,0.0005228092,0.0002371313,0.00357185],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00250266,"threshold_uncertainty_score":0.007577598,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3164830547","doi":"10.2514/1.i010975","title":"Vision-Based Pose Estimation of Fixed-Wing Aircraft Using You Only Look Once and Perspective-n-Points","year":2021,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Korea Evaluation Institute of Industrial Technology","keywords":"Fixed wing; Perspective (graphical); Pose; Computer vision; Computer science; Estimation; Artificial intelligence; Wing; Engineering; Aerospace engineering","authors":[{"name":"Sukkeun Kim","is_ca":false},{"name":"Jeongho Kim","is_ca":false},{"name":"Ji-Hoon Park","is_ca":false},{"name":"Daewoo Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008652145088023387,"gpt":0.2408697147025617,"spread":0.2322175696145383,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003019212,0.0006994212,0.000622906,0.0008863967,0.0003018798,0.0007749108,0.0006352151,0.0006212951,0.01387132],"category_scores_gemma":[0.001229945,0.0003989516,0.0006397896,0.0007469243,0.0002529638,0.001026473,0.001144814,0.0006743881,0.007282993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755932,"about_ca_system_score_gemma":0.0004826532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004344265,"about_ca_topic_score_gemma":0.006310049,"domain_scores_codex":[0.999602,0.00003478602,0.00001205294,0.00009903219,0.000200498,0.00005153986],"domain_scores_gemma":[0.9996361,0.00004241909,0.00003005364,0.0001005575,0.0001530093,0.0000379322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006879239,0.00009800236,0.006244404,0.0002922004,0.0001119508,0.0003127709,0.0001811008,0.02305838,0.06697468,0.001784727,0.02635194,0.8739019],"study_design_scores_gemma":[0.0001233687,0.0005716086,0.0410754,0.0002216885,0.0001227967,0.001345753,0.0005814252,0.8268844,0.07806877,0.003326969,0.04749995,0.0001779035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08615701,0.001598925,0.8797103,0.0004349591,0.0008076825,0.0002005124,0.002137166,0.006939563,0.0220138],"genre_scores_gemma":[0.6703344,0.001686494,0.2931225,0.0003191849,0.0002772957,0.0002088819,0.006044138,0.0006434954,0.02736364],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01387132,"threshold_uncertainty_score":0.04640418,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402490053","doi":"10.2514/1.i011371","title":"Integration of the Functional Hazard Assessment Within a Model-Based Systems Engineering Framework","year":2024,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Bombardier (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Hazard analysis; Systems engineering; Computer science; Hazard; Reliability engineering; Engineering","authors":[{"name":"Nikta Tabesh","is_ca":true},{"name":"Andrew K. Jeyaraj","is_ca":true},{"name":"Susan Liscouët-Hanke","is_ca":true},{"name":"Álvaro Tamayo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0298653387051003,"gpt":0.2665479458282299,"spread":0.2366826071231296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00627524,0.001445238,0.0009145379,0.003160198,0.0005711543,0.003904092,0.00214917,0.001408372,0.002234951],"category_scores_gemma":[0.009984933,0.0008018787,0.001847294,0.001110238,0.001343569,0.003835665,0.00259206,0.002423224,0.0006704608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534038,"about_ca_system_score_gemma":0.003368069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004219245,"about_ca_topic_score_gemma":0.003724094,"domain_scores_codex":[0.9953262,0.002073882,0.0003435031,0.0003159371,0.00176804,0.0001725233],"domain_scores_gemma":[0.9934546,0.003184985,0.0004969646,0.00151495,0.001206171,0.000142304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007071638,0.0003106149,0.002850685,0.0006876652,0.0002525237,0.0003953685,0.0009883004,0.4222053,0.01065381,0.3293067,0.002426621,0.2298517],"study_design_scores_gemma":[0.0000186037,0.0001397616,0.0005758294,0.0002464427,0.00009241769,0.0001828107,0.0001814379,0.8537595,0.004215923,0.1242411,0.01628684,0.00005925476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001451089,0.00008549447,0.9959997,0.0001829488,0.00001702114,0.00005387699,0.00002592863,0.0004563448,0.001727717],"genre_scores_gemma":[0.1004741,0.000349624,0.8973606,0.00009139272,0.00005051365,0.00019747,0.000174615,0.0001695222,0.001132332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00627524,"threshold_uncertainty_score":0.03318703,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3022678419","doi":"10.2514/1.i010791","title":"New Methodology for Aircraft Performance Model Identification for Flight Management System Applications","year":2020,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":4,"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 Montréal","funders":"Canada Research Chairs","keywords":"Aerodynamics; Avionics; Fly-by-wire; Trajectory; Flight simulator; Aircraft flight mechanics; Flight management system; Aerospace engineering; Fuel efficiency; Thrust; Drag; Simulation; Computer science; Experimental data; Flight dynamics; Engineering","authors":[{"name":"Georges Ghazi","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true},{"name":"Simon Domanti","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0315694253409682,"gpt":0.249932706343137,"spread":0.2183632810021688,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001154391,0.001385448,0.0006836731,0.0009168866,0.0004861609,0.0007880894,0.001010828,0.0006315621,0.003220429],"category_scores_gemma":[0.002466844,0.0005325137,0.001092487,0.0005726484,0.00041747,0.001021415,0.00096214,0.001602298,0.001818247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005316525,"about_ca_system_score_gemma":0.0009568047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002835559,"about_ca_topic_score_gemma":0.00201433,"domain_scores_codex":[0.9991813,0.0001893444,0.00005607817,0.0001537492,0.0003765487,0.00004293844],"domain_scores_gemma":[0.9993939,0.0002238915,0.00006494279,0.0001151293,0.0001902149,0.00001184888],"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":[0.00004864845,0.0001298224,0.0007834845,0.0003365959,0.0001570548,0.0001495013,0.0002123643,0.5387868,0.02257429,0.086891,0.004385994,0.3455445],"study_design_scores_gemma":[0.00001197926,0.00007271658,0.0002597902,0.00002753737,0.00002565904,0.0001007329,0.00002341733,0.962914,0.004645254,0.01170045,0.02019905,0.00001938272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003629597,0.00003155303,0.9985128,0.0000140326,0.00002232739,0.00002493369,0.00002429678,0.0003098596,0.0006972201],"genre_scores_gemma":[0.08971989,0.0003397874,0.9020361,0.0000673481,0.00008908911,0.000594007,0.0004892865,0.0003209613,0.006343538],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003220429,"threshold_uncertainty_score":0.01077342,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413029491","doi":"10.2514/1.i011629","title":"On the Role of Communications for Space Domain Awareness","year":2025,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Satellite Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Domain (mathematical analysis); Space (punctuation); Situation awareness; Aeronautics; Engineering; Aerospace engineering; Mathematics; Operating system","authors":[{"name":"Nathaniel G. Gordon","is_ca":false},{"name":"Nesrine Benchoubane","is_ca":true},{"name":"Gregory Falco","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01689881156943417,"gpt":0.2617758182932956,"spread":0.2448770067238614,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001661007,0.0004684236,0.0002864089,0.0006701895,0.001439042,0.0048018,0.0007558009,0.001113865,0.004717031],"category_scores_gemma":[0.006347078,0.0002159471,0.0002272053,0.0008791173,0.002337168,0.006614478,0.001639515,0.002114549,0.0006406243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455179,"about_ca_system_score_gemma":0.001772972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057382,"about_ca_topic_score_gemma":0.002446244,"domain_scores_codex":[0.9989138,0.0003858741,0.0000313517,0.0001233239,0.0004012004,0.0001446073],"domain_scores_gemma":[0.9937065,0.004086282,0.0004143619,0.0007152482,0.0008315275,0.000246062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006483086,0.00004851821,0.001556831,0.0001827822,0.0000249409,0.0001584534,0.0003055737,0.02874455,0.004601972,0.837773,0.008405915,0.1181325],"study_design_scores_gemma":[0.0000313171,0.0002717538,0.003040252,0.0006405871,0.00007780495,0.0008490516,0.0015562,0.171326,0.009407323,0.5862707,0.2264468,0.00008215308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09046444,0.02963888,0.4741197,0.05911608,0.002591048,0.0001701391,0.0001520036,0.0008789346,0.3428688],"genre_scores_gemma":[0.9320958,0.01176711,0.0413128,0.002035495,0.001259644,0.00007375854,0.00004961198,0.0001164881,0.01128932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0048018,"threshold_uncertainty_score":0.01578003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3164043830","doi":"10.2514/1.i010921","title":"Human-Aware Reinforcement Learning for Fault Recovery Using Contextual Gaussian Processes","year":2021,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Defense Advanced Research Projects Agency; National Aeronautics and Space Administration","keywords":"Forgetting; Reinforcement learning; Computer science; Artificial intelligence; Task (project management); Robot; Process (computing); Set (abstract data type); Machine learning; Gaussian process; Human–robot interaction; Baseline (sea); Gaussian; Engineering","authors":[{"name":"Steve McGuire","is_ca":false},{"name":"P. Michael Furlong","is_ca":true},{"name":"Christoffer Heckman","is_ca":false},{"name":"Simon Julier","is_ca":false},{"name":"Nisar Ahmed","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02755522201738358,"gpt":0.2802436116144039,"spread":0.2526883895970203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001891574,0.0006492359,0.001018919,0.0004145737,0.0003149783,0.0005630318,0.00131,0.0007621436,0.001015535],"category_scores_gemma":[0.005827991,0.0003797766,0.0004094474,0.0002912512,0.001162116,0.0008335703,0.0009718997,0.001289786,0.000187353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009845059,"about_ca_system_score_gemma":0.001455258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007875384,"about_ca_topic_score_gemma":0.007105987,"domain_scores_codex":[0.9993625,0.0002073982,0.00002448277,0.0001518742,0.0001455774,0.0001080963],"domain_scores_gemma":[0.9972593,0.00181417,0.0003275667,0.0001689143,0.0002700814,0.0001600182],"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":[0.0001181944,0.00008123361,0.0009716682,0.00003204325,0.0000303699,0.00004718676,0.00007324931,0.9610865,0.001199474,0.005438228,0.0003551429,0.0305668],"study_design_scores_gemma":[0.000005526489,0.00001797133,0.00006027722,0.000001520246,0.000002731498,0.000003608333,0.000002299692,0.9983041,0.0001842078,0.0013537,0.00006216974,0.000001899711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03908402,0.0001828313,0.9593213,0.0001637529,0.00002553304,0.00003000396,0.00001662757,0.0004569576,0.0007189412],"genre_scores_gemma":[0.965445,0.00007846002,0.03339145,0.00008672302,0.00002324881,0.00003663724,0.00002469391,0.00002790267,0.0008858148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007875384,"threshold_uncertainty_score":0.01565909,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387052921","doi":"10.2514/1.i011220","title":"Performance Model Identification of the General Electric CF34-8C5B1 Turbofan Using Neural Networks","year":2023,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec; Université du Québec à Montréal","funders":"","keywords":"Turbofan; Artificial neural network; Takeoff; Flight simulator; Computer science; Simulation; Climb; Engineering; Artificial intelligence; Automotive engineering; Aerospace engineering","authors":[{"name":"Rojo Princy Andrianantara","is_ca":true},{"name":"Georges Ghazi","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01716515926143489,"gpt":0.2374251331965098,"spread":0.2202599739350749,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003532735,0.0007927219,0.0003513664,0.0005466017,0.0003200803,0.0005851776,0.0005354859,0.0006681765,0.0009432759],"category_scores_gemma":[0.0006203821,0.0002632448,0.000471784,0.0002981594,0.0002187406,0.0003988859,0.0002452575,0.0003763599,0.0002460517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007070114,"about_ca_system_score_gemma":0.0007579954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02869175,"about_ca_topic_score_gemma":0.01730979,"domain_scores_codex":[0.9998552,0.00002350892,0.000007619836,0.00004284742,0.00004972602,0.00002107666],"domain_scores_gemma":[0.999838,0.00006541294,0.00002823956,0.000009538622,0.00005378808,0.000005061438],"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":[0.00001993355,0.00001150029,0.0009836928,0.00001698276,0.00001034346,0.00001985782,0.00001103433,0.9913728,0.001501,0.0001738265,0.00006478617,0.0058143],"study_design_scores_gemma":[0.000001050365,0.00001383493,0.0007200285,0.000002449693,0.000002568858,0.000004833459,0.000003316379,0.9985612,0.0005289273,0.00007520359,0.00008377694,0.000002749312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6024745,0.0004147716,0.382097,0.0001939469,0.00003785652,0.0001118068,0.0005565765,0.000701926,0.01341165],"genre_scores_gemma":[0.991513,0.00007862422,0.006534237,0.000009556337,0.000003613876,0.00005446234,0.0002048737,0.00001250594,0.001589007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02869175,"threshold_uncertainty_score":0.05704945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390947360","doi":"10.2514/1.i011332","title":"Neural Networks and Support Vector Regression for the CRJ-700 Longitudinal Dynamics Modeling","year":2024,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":2,"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":"Artificial neural network; Aerodynamics; Support vector machine; Flight dynamics; Computer science; Hyperparameter; Engineering; Simulation; Artificial intelligence; Machine learning; Aerospace engineering","authors":[{"name":"Yvan Tondji","is_ca":true},{"name":"Georges Ghazi","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0117367997856423,"gpt":0.2341677514329155,"spread":0.2224309516472733,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009226394,0.0008716505,0.0005140327,0.0004719475,0.0002095745,0.0006129987,0.0006981622,0.0007534099,0.001032342],"category_scores_gemma":[0.002288351,0.0003428972,0.000547484,0.0004781628,0.000257731,0.0006112537,0.0003736495,0.001400049,0.0003749657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004423106,"about_ca_system_score_gemma":0.0006264896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008809494,"about_ca_topic_score_gemma":0.006009939,"domain_scores_codex":[0.9996277,0.0001333535,0.0000232469,0.00007496867,0.0001171988,0.00002347956],"domain_scores_gemma":[0.9992989,0.0003967677,0.00008735595,0.00004359522,0.0001574753,0.00001586158],"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":[0.00003474367,0.000039963,0.0009329638,0.00004907733,0.00004359412,0.00003928265,0.000020767,0.9487987,0.002155189,0.003133113,0.0003339197,0.04441871],"study_design_scores_gemma":[7.727218e-7,0.000009231841,0.0001016801,0.00000252937,0.000001595873,0.00000314307,0.000001508388,0.9991454,0.0002607782,0.0003003374,0.0001709353,0.000002058315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0262632,0.0005424062,0.9708261,0.0001558203,0.00004305689,0.00003441471,0.0001022325,0.0004493285,0.001583565],"genre_scores_gemma":[0.7154883,0.000808738,0.2782655,0.00008513844,0.00008303941,0.0002253023,0.0003928574,0.000108186,0.004542843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008809494,"threshold_uncertainty_score":0.01751643,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402487332","doi":"10.2514/1.i011398","title":"New Type-2-Fuzzy-Logic-Based Control System for the Cessna Citation X","year":2024,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":2,"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":"Control theory (sociology); Avionics; Robustness (evolution); Control engineering; Control system; Lyapunov function; Engineering; Fuzzy logic; Sliding mode control; Flight simulator; Adaptive control; Adaptability; Nonlinear system; Computer science; Control (management); Simulation; Aerospace engineering","authors":[{"name":"Georges Ghazi","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009590204964962724,"gpt":0.2225007899890426,"spread":0.2129105850240799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004038794,0.0005889702,0.0004688355,0.0003386652,0.0005885614,0.0008847163,0.0009977752,0.000863563,0.002634233],"category_scores_gemma":[0.0005555006,0.0001655803,0.0004571625,0.0001891968,0.0004408191,0.0004587605,0.0005003485,0.0007257471,0.0005582019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004838991,"about_ca_system_score_gemma":0.0006220165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004763457,"about_ca_topic_score_gemma":0.003912716,"domain_scores_codex":[0.9996222,0.00003413332,0.0000272402,0.00009710907,0.0001916826,0.00002752489],"domain_scores_gemma":[0.9998114,0.00003386938,0.00003184378,0.00001837541,0.00008989848,0.00001469998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00103322,0.0002968266,0.002651971,0.0008287685,0.0001441247,0.00120368,0.0008409355,0.2614028,0.2040332,0.02308315,0.008102881,0.4963785],"study_design_scores_gemma":[0.0001731153,0.0008036138,0.001337478,0.00006252578,0.00007127952,0.0003594259,0.00005549048,0.9504904,0.02548947,0.001856165,0.01924252,0.00005863198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03848506,0.000500768,0.9459178,0.000253592,0.0004410286,0.0001753618,0.00007839008,0.001699186,0.01244878],"genre_scores_gemma":[0.895685,0.0003256995,0.0907305,0.0002539229,0.0001133464,0.0003357779,0.0001492188,0.00003539967,0.01237115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004763457,"threshold_uncertainty_score":0.009471476,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411430893","doi":"10.2514/1.i011560","title":"Computer-Vision-Driven Artificial Potential Function Guidance and Adaptive Control for Spacecraft Proximity Operations","year":2025,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":2,"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":"Spacecraft; Testbed; Computer science; Obstacle avoidance; Kalman filter; Obstacle; Artificial intelligence; Trajectory; Computer vision; Simulation; Control engineering; Engineering; Aerospace engineering; Robot; Mobile robot; Law","authors":[{"name":"Natasha Reid","is_ca":true},{"name":"Ryan Goodridge","is_ca":true},{"name":"S. C. Simonson","is_ca":true},{"name":"Austin Dahlseide","is_ca":true},{"name":"Alexis Valdez Cascajares","is_ca":true},{"name":"Courtney Savytska","is_ca":true},{"name":"Alexander Crain","is_ca":true},{"name":"Steve Ulrich","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005691673851927987,"gpt":0.2113050029341829,"spread":0.2056133290822549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876535,0.0001752496,0.0001369913,0.0001456344,0.0001815683,0.0002775561,0.0003287516,0.0002544857,0.0004906728],"category_scores_gemma":[0.000617426,0.00008709201,0.0001169504,0.000131853,0.00030631,0.0003142944,0.0003416774,0.0003819187,0.00008572333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003212212,"about_ca_system_score_gemma":0.0004236975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987535,"about_ca_topic_score_gemma":0.002314563,"domain_scores_codex":[0.9999148,0.00001567156,0.000002809925,0.00001408758,0.0000450503,0.000007597896],"domain_scores_gemma":[0.9998683,0.00004655738,0.00002460926,0.0000100839,0.00004059869,0.000009864711],"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":[0.0001018611,0.00006069667,0.0006241685,0.00004137015,0.00001488307,0.0000788355,0.000110107,0.8350643,0.03650431,0.01208879,0.0009204133,0.1143903],"study_design_scores_gemma":[0.000003579273,0.00002806513,0.0001387726,0.000001509121,0.000001012849,0.000009316585,0.000004292506,0.9974446,0.001164675,0.0007211894,0.0004803191,0.000002644118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05421824,0.0002055641,0.941725,0.0001350814,0.00004995742,0.00002027043,0.000006952308,0.0002738539,0.003365132],"genre_scores_gemma":[0.9590155,0.0000826816,0.03945654,0.00002972257,0.00001361125,0.00002972574,0.00001032781,0.00001261864,0.001349135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002987535,"threshold_uncertainty_score":0.005940318,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392293366","doi":"10.2514/1.i011344","title":"Automated One-Sided Learning Fault Detection System for Reaction Wheel Bearing Friction Anomalies","year":2024,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Anomaly detection; Fault detection and isolation; Reaction wheel; Attitude control; Computer science; Control system; Bearing (navigation); Artificial intelligence; Test data; Engineering; Control theory (sociology); Control engineering; Control (management)","authors":[{"name":"Yujia Huang","is_ca":true},{"name":"Philip Ferguson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008991847415045107,"gpt":0.2194538683471053,"spread":0.2104620209320602,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003436469,0.0005273449,0.0005581522,0.0005238049,0.0003221173,0.0002981758,0.0007856165,0.000401776,0.001386704],"category_scores_gemma":[0.0009262405,0.0001729836,0.0002353413,0.000184662,0.0002385576,0.0004291042,0.0003469024,0.0003439411,0.0004632446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003964729,"about_ca_system_score_gemma":0.0005609872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002994837,"about_ca_topic_score_gemma":0.002608363,"domain_scores_codex":[0.9996705,0.00003280543,0.00002265303,0.000113887,0.0001277974,0.00003247727],"domain_scores_gemma":[0.9993198,0.00012648,0.0001417783,0.0001126264,0.0002628825,0.00003649596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008058745,0.0007018469,0.0147791,0.0002187686,0.0001074354,0.0003895943,0.0003023606,0.1446469,0.184439,0.001514399,0.004246366,0.6478482],"study_design_scores_gemma":[0.00004851642,0.0003486762,0.004711724,0.000008032193,0.00003238573,0.0001386683,0.00001629955,0.9575622,0.03519033,0.0003679104,0.001550505,0.00002473023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2871985,0.0001954017,0.6997448,0.0001297364,0.0001155097,0.0001851325,0.0001360312,0.01023284,0.002062007],"genre_scores_gemma":[0.9620683,0.00003106149,0.03619002,0.00004548902,0.00001655261,0.00007871815,0.000105031,0.00002777772,0.001437144],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002994837,"threshold_uncertainty_score":0.005954802,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409592954","doi":"10.2514/1.i011583","title":"High-Altitude Platform Station Systems Cybersecurity Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Payload (computing); Computer security; Computer science; Architecture; Transponder (aeronautics); Network architecture; Systems architecture; Computer network; Engineering; Aerospace engineering","authors":[{"name":"Nicolò Boschetti","is_ca":false},{"name":"Güneş Karabulut Kurt","is_ca":true},{"name":"Gregory Falco","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004329852858422858,"gpt":0.2097714326364783,"spread":0.2054415797780554,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003786836,0.0004748088,0.0002640669,0.0006224064,0.0002842896,0.0006359888,0.0004193148,0.0003691827,0.003301359],"category_scores_gemma":[0.0008199028,0.0001167144,0.000517364,0.000383412,0.0003291157,0.0008458921,0.0004711593,0.0004719835,0.000283399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006113007,"about_ca_system_score_gemma":0.0006641507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005921995,"about_ca_topic_score_gemma":0.004002933,"domain_scores_codex":[0.9997749,0.00004447173,0.000006491178,0.00002632296,0.0001058948,0.00004189611],"domain_scores_gemma":[0.9996814,0.00009955226,0.00005107956,0.00003649635,0.0001147968,0.00001671846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002964281,0.00002229917,0.002951156,0.00003835925,0.00003018477,0.0001134612,0.00005251675,0.9505115,0.004416193,0.02263343,0.0004457694,0.01875556],"study_design_scores_gemma":[0.000001603165,0.00005043948,0.001654782,0.000004866776,0.000006685616,0.00002846078,0.00003704314,0.992875,0.0008466396,0.003874102,0.0006160741,0.000004361039],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3825996,0.0004790896,0.5871472,0.0002503557,0.00003904914,0.0001027746,0.0002457514,0.0002047877,0.0289314],"genre_scores_gemma":[0.9822289,0.0002276222,0.01387226,0.00001685036,0.000009419521,0.00002602414,0.0001308329,0.00002282519,0.003465305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005921995,"threshold_uncertainty_score":0.01177502,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404932772","doi":"10.2514/1.i011331","title":"Clarifying Ambiguity in Aircraft Regulatory Documentation: A Review of Modeling Approaches","year":2024,"lang":"en","type":"review","venue":"Journal of Aerospace Information Systems","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Documentation; Ambiguity; Aeronautics; Computer science; Systems engineering; Engineering; Programming language","authors":[{"name":"Andréa Cartile","is_ca":true},{"name":"Catharine Marsden","is_ca":true},{"name":"Susan Liscouët-Hanke","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05753693328845801,"gpt":0.288096152138016,"spread":0.230559218849558,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007669391,0.001156166,0.001950433,0.01059615,0.0007499708,0.002949885,0.002365881,0.002188236,0.002139159],"category_scores_gemma":[0.01449393,0.001058733,0.001083803,0.01052563,0.002580924,0.00543909,0.001658131,0.002423803,0.0009431092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002774945,"about_ca_system_score_gemma":0.007456474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007738456,"about_ca_topic_score_gemma":0.009717393,"domain_scores_codex":[0.9964011,0.001106,0.0007551289,0.0004747152,0.001162563,0.000100447],"domain_scores_gemma":[0.980099,0.0147007,0.001600042,0.000449022,0.002967192,0.0001840614],"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":[0.00004025297,0.00007105508,0.0003299195,0.0490849,0.0001208983,0.00008443232,0.0007821709,0.0006289536,0.0004128635,0.01859338,0.01027373,0.9195774],"study_design_scores_gemma":[0.00001931707,0.0001090197,0.00181617,0.08330485,0.0004338394,0.0009319334,0.0009337972,0.0004252946,0.0008026405,0.00801742,0.9031279,0.00007786309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001116166,0.9980878,0.000576652,0.000385834,0.00006761003,0.00001003659,0.00001026308,0.000006327527,0.0007439054],"genre_scores_gemma":[0.001295724,0.9971143,0.001176049,0.0001818041,0.00006144219,0.00001553689,0.00002080801,0.000004811813,0.000129436],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01059615,"threshold_uncertainty_score":0.04056007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411925388","doi":"10.2514/1.i011556","title":"Air Target Intention Recognition via Bidirectional Long Short-Term Memory Networks and Hierarchical Maneuver Feature Extraction","year":2025,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"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":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Term (time); Computer science; Feature extraction; Long short term memory; Artificial intelligence; Feature (linguistics); Pattern recognition (psychology); Extraction (chemistry); Speech recognition; Artificial neural network; Recurrent neural network; Physics","authors":[{"name":"Xinran Wang","is_ca":false},{"name":"Zhongliang Jing","is_ca":false},{"name":"Hongya Tuo","is_ca":false},{"name":"Henry Leung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005883748297925735,"gpt":0.2186619464252041,"spread":0.2127781981272784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002337669,0.0007541121,0.0003356381,0.0004726019,0.0001979234,0.0004202322,0.0005708644,0.0003782315,0.000906083],"category_scores_gemma":[0.0006765846,0.0002188296,0.0005287215,0.0004241762,0.0002067857,0.0008731068,0.0005712653,0.0007115107,0.0004253853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626797,"about_ca_system_score_gemma":0.0004054899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005122004,"about_ca_topic_score_gemma":0.006823137,"domain_scores_codex":[0.9998388,0.0000172618,0.00001185667,0.00005295149,0.00004709734,0.00003199567],"domain_scores_gemma":[0.9998468,0.00003804556,0.0000282849,0.00002037374,0.00005637858,0.00001012827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003041379,0.0002413961,0.003875473,0.0001536331,0.0001191886,0.0002648595,0.0001867745,0.1127455,0.06839439,0.003095681,0.00328974,0.8073292],"study_design_scores_gemma":[0.000007486621,0.00009345813,0.0018851,0.000009439855,0.000036136,0.00006086728,0.0000311431,0.9822542,0.01246558,0.0024876,0.0006541759,0.00001485838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1155944,0.0006609615,0.8780046,0.0001733434,0.0001221877,0.00006389171,0.0002631336,0.001800266,0.00331711],"genre_scores_gemma":[0.9063339,0.0004008122,0.08849267,0.0001464227,0.00004695643,0.0001152888,0.0006959873,0.00006398297,0.003703912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005122004,"threshold_uncertainty_score":0.01018441,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392727657","doi":"10.2514/1.i011250","title":"Electric Motor Chain Modeling Using Artificial Neural Networks and Semi-Empirical Methods","year":2024,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"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; Université du Québec à Montréal","funders":"Canada Research Chairs","keywords":"Propeller; Thrust; Torque; Rotational speed; Battery (electricity); Electric motor; Artificial neural network; MATLAB; Computer science; Engineering; Automotive engineering; Power (physics); Control theory (sociology); Simulation; Mechanical engineering; Artificial intelligence; Marine engineering","authors":[{"name":"Marine Segui","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04909438106285224,"gpt":0.3543827953054061,"spread":0.3052884142425539,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007160522,0.000806851,0.0006176496,0.0008354588,0.0003225967,0.0009458623,0.001168175,0.001049215,0.001892393],"category_scores_gemma":[0.001830821,0.0005923296,0.0007073352,0.0007343429,0.0003735151,0.000890231,0.0005194858,0.0008031509,0.0005054561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007918242,"about_ca_system_score_gemma":0.0006959149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252004,"about_ca_topic_score_gemma":0.008660362,"domain_scores_codex":[0.9997208,0.0001023232,0.00002316501,0.00005296166,0.00007593189,0.00002485347],"domain_scores_gemma":[0.9990774,0.0005687315,0.0001198659,0.00004125008,0.0001768337,0.00001588315],"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":[0.000008920321,0.00001223506,0.0002087874,0.00002345655,0.00001200656,0.00001277603,0.000008297709,0.9910828,0.0001819856,0.0008326538,0.00008436193,0.0075318],"study_design_scores_gemma":[4.255192e-7,0.000001881824,0.00002234735,0.000002113626,7.5912e-7,0.000001223182,9.437999e-7,0.9996592,0.00003825947,0.000213356,0.00005867038,8.429669e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03041528,0.0005986051,0.9638677,0.0001152745,0.00003320348,0.00007539409,0.0001576289,0.00052623,0.004210685],"genre_scores_gemma":[0.8332034,0.001040889,0.1566549,0.00007272202,0.0000482752,0.0005330704,0.0005184963,0.0001137238,0.007814392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01252004,"threshold_uncertainty_score":0.02489436,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403217263","doi":"10.2514/1.i011374","title":"Novel Controller Methodology for the Cessna Citation X Under Turbulence During Cruise","year":2024,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"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":"Turbulence; Cruise; Aerospace engineering; Aeronautics; Computer science; Physics; Environmental science; Control theory (sociology); Engineering; Meteorology; Control (management)","authors":[{"name":"S. Mohammad Hosseini","is_ca":true},{"name":"Georges Ghazi","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03451638703955193,"gpt":0.2681663111084565,"spread":0.2336499240689045,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002533312,0.0004526163,0.0003549538,0.0002563543,0.0003856718,0.0005399529,0.0006423692,0.0004033869,0.001041772],"category_scores_gemma":[0.0002593483,0.0001492321,0.0003330364,0.0001254801,0.0003122518,0.0002818314,0.0004776847,0.0004795772,0.0001466592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002482147,"about_ca_system_score_gemma":0.0005859139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003348736,"about_ca_topic_score_gemma":0.002118213,"domain_scores_codex":[0.9998418,0.00001503557,0.00001297424,0.00004497657,0.00006833416,0.00001683637],"domain_scores_gemma":[0.9998835,0.00001528523,0.00002495471,0.00001124884,0.00005584957,0.000009145118],"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":[0.0004335233,0.0001239893,0.002188334,0.0006557806,0.00009768656,0.0005172217,0.0006183769,0.3432533,0.359554,0.01555157,0.001437226,0.275569],"study_design_scores_gemma":[0.00007355585,0.0009297237,0.002086604,0.00003667711,0.00005769403,0.0002131523,0.00010055,0.9503906,0.0359343,0.001401102,0.008739678,0.00003638016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04201945,0.0002886074,0.9525099,0.00007418478,0.00009744452,0.0001141496,0.00001592421,0.0005819228,0.004298462],"genre_scores_gemma":[0.9379306,0.0002421257,0.05779544,0.00004345729,0.00004743912,0.0001648257,0.00003778113,0.00001629521,0.003722112],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003348736,"threshold_uncertainty_score":0.006658494,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409443963","doi":"10.2514/1.i011452","title":"Characterization and Classification of Low-Resolution Satellites with Electro-Optical Fiducial Markers","year":2025,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ansys (Canada)","funders":"","keywords":"Fiducial marker; Characterization (materials science); Remote sensing; Computer science; Resolution (logic); Artificial intelligence; Physics; Optics; Geology","authors":[{"name":"Novarah F. Kazmi Policht","is_ca":true},{"name":"Teresa Nicole Brooks","is_ca":true},{"name":"Patrick North","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003320636780003371,"gpt":0.1833190750318666,"spread":0.1799984382518633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003366811,0.0003375805,0.0002328717,0.0008702393,0.0001881674,0.0007301408,0.0003348811,0.0004434796,0.0003929345],"category_scores_gemma":[0.001565158,0.0001187205,0.0002302194,0.0006697505,0.0003816998,0.0006852294,0.0003880264,0.0003067126,0.0001975763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002631666,"about_ca_system_score_gemma":0.0002195285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00211397,"about_ca_topic_score_gemma":0.002957038,"domain_scores_codex":[0.9997584,0.00003385105,0.00001874777,0.00006214831,0.00008787282,0.00003900411],"domain_scores_gemma":[0.9992483,0.0001804787,0.0001775098,0.0001548525,0.0001924014,0.00004649613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005993657,0.0002666367,0.1391604,0.0002555439,0.0001126795,0.0007652923,0.0005772434,0.2932951,0.2603767,0.002794868,0.001487317,0.3003089],"study_design_scores_gemma":[0.000009825241,0.0001159087,0.05812949,0.00002305028,0.00002807267,0.000242998,0.0002763445,0.8660842,0.07195359,0.001147623,0.001960462,0.00002847073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8908568,0.0002305373,0.1071479,0.0001040572,0.00002951975,0.00003238618,0.0001312013,0.0003546911,0.001112865],"genre_scores_gemma":[0.9697871,0.00006858428,0.02950688,0.0000202881,0.000006959284,0.000007904213,0.0002170744,0.00002322345,0.0003619213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00211397,"threshold_uncertainty_score":0.004203379,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410411432","doi":"10.2514/1.i011399","title":"Predicting Lateral Dynamics of CRJ700 Using Multilayer Perceptron and Support Vector Regression","year":2025,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"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":"Canada Research Chairs","keywords":"Support vector machine; Regression; Regression analysis; Dynamics (music); Computer science; Artificial intelligence; Statistics; Mathematics; Psychology","authors":[{"name":"Yvan Tondji","is_ca":true},{"name":"Georges Ghazi","is_ca":true},{"name":"Ruxandra Mihaela Botez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01220437619365173,"gpt":0.2704177865399051,"spread":0.2582134103462534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003535784,0.0006397729,0.0003506162,0.0005064908,0.0002436116,0.0004356899,0.0004323633,0.000425532,0.0008452752],"category_scores_gemma":[0.0009959043,0.0002437661,0.0004734839,0.0003202882,0.0001780537,0.0004054814,0.0002680572,0.0005488013,0.0002474869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003995226,"about_ca_system_score_gemma":0.0004604891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01477836,"about_ca_topic_score_gemma":0.01541861,"domain_scores_codex":[0.9998541,0.00002014385,0.000006747202,0.00003313509,0.00006160096,0.00002422565],"domain_scores_gemma":[0.9997268,0.0001066007,0.00003777579,0.00002754148,0.0000785575,0.00002270431],"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":[0.0002095015,0.0001195034,0.02027882,0.0000649424,0.00005318202,0.0001547151,0.00004326868,0.9171616,0.02153438,0.0003618478,0.0009408591,0.03907735],"study_design_scores_gemma":[0.000002905119,0.00004004401,0.004961124,0.000002197622,0.000003022863,0.000008192066,0.000009086818,0.9933473,0.00143049,0.00006232929,0.0001280708,0.000005219693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620423,0.0001184204,0.03457435,0.0001092198,0.00003222376,0.00002492927,0.0006324712,0.0005067878,0.001959275],"genre_scores_gemma":[0.9913058,0.00004300891,0.007186694,0.00001292183,0.000003691322,0.00001309089,0.0007656692,0.00002042384,0.000648759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01477836,"threshold_uncertainty_score":0.02938467,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}