{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":23,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":23,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"8ff8057d7f6a","filters":{"venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference"}},"results":[{"id":"W2100085233","doi":"10.2514/6.2008-6025","title":"Aerostructural Shape Optimization of Wind Turbine Blades Considering Site-Specific Winds","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Canada Research Chairs","keywords":"Wind power; Turbine; Turbine blade; Marine engineering; Geology; Environmental science; Meteorology; Aerospace engineering; Computer science; Engineering; Physics; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02400119611177704,"gpt":0.2336107236289977,"spread":0.2096095275172207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001495405,0.0003175023,0.0005357155,0.0005231613,0.0003318365,0.00008562694,0.0001723487,0.0001426966,0.001642588],"category_scores_gemma":[0.00003663479,0.0002988708,0.0001310263,0.001117158,0.0002287903,0.0003959459,0.0001348829,0.0001874362,0.000004068615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004747428,"about_ca_system_score_gemma":0.00006864886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002413904,"about_ca_topic_score_gemma":0.00002296805,"domain_scores_codex":[0.9981833,0.00004947125,0.000597237,0.0004251987,0.0003673767,0.0003774211],"domain_scores_gemma":[0.9989269,0.00008777108,0.0001245077,0.0003026139,0.0003248137,0.0002333573],"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":[0.0000391252,0.00002915355,0.0150724,0.00003813249,0.0002583984,0.00001542463,0.0009559594,0.9814757,0.001359872,0.00004177967,0.00005776857,0.0006563299],"study_design_scores_gemma":[0.0005287529,0.00005199692,0.02498098,0.000032829,0.0001038272,0.00001611021,0.0001974158,0.9708644,0.002828188,0.00001224572,0.0000439883,0.00033931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7272888,0.0005150423,0.2709008,0.00007061984,0.00008306433,0.0001599151,0.00003617049,0.0001358686,0.0008096806],"genre_scores_gemma":[0.9083219,0.002265095,0.08878121,0.000007913792,0.00004588371,0.00001011685,0.0004059073,0.00002771129,0.000134256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1821197,"threshold_uncertainty_score":0.9999464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2312198328","doi":"10.2514/6.2008-5955","title":"pyACDT: An Object-Oriented Framework for Aircraft Design Modelling and Multidisciplinary Optimization","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Multidisciplinary design optimization; Multidisciplinary approach; Computer science; Object-oriented programming; Systems engineering; Object (grammar); Engineering; Artificial intelligence; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.04029868223006588,"gpt":0.2780159108894311,"spread":0.2377172286593652,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003931421,0.000495123,0.0006183664,0.0003530926,0.00146994,0.0001071259,0.0003237371,0.0003482461,0.0003407525],"category_scores_gemma":[0.000155864,0.0004646181,0.0001472766,0.001358733,0.0006798036,0.001280358,0.000409163,0.0002773023,0.000005053455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008422588,"about_ca_system_score_gemma":0.00004290053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006945144,"about_ca_topic_score_gemma":0.00002980997,"domain_scores_codex":[0.9970763,0.0001413144,0.0006201896,0.00124977,0.0003657702,0.0005467039],"domain_scores_gemma":[0.9982758,0.0003517056,0.0003321916,0.0005971565,0.0001435287,0.0002996728],"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":[0.0001733528,0.0001915394,0.01419702,0.00001541978,0.0001071464,0.00001034671,0.001878353,0.9817734,0.0001228108,0.000494501,0.00001022957,0.001025846],"study_design_scores_gemma":[0.000660192,0.0003549436,0.002160527,0.00003233155,0.0003475466,0.00001465499,0.001062328,0.9905263,0.0005597292,0.003659159,0.00001524645,0.0006070257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04834377,0.0001417415,0.9499376,0.000245548,0.00006002275,0.0008334353,0.00003531462,0.0003058763,0.0000966698],"genre_scores_gemma":[0.4658251,0.0008302422,0.5329364,0.0000211303,0.00002057431,0.0001044976,0.0001376589,0.00002804736,0.00009635971],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4174813,"threshold_uncertainty_score":0.99983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2324968360","doi":"10.2514/6.2008-6081","title":"Three-Dimensional Structural Topology Optimization of an Aircraft Wing Using Level Set Methods","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Topology optimization; Level set method; Chord (peer-to-peer); Wing; Cantilever; Topology (electrical circuits); Level set (data structures); Shape optimization; Computer science; Optimization problem; Void (composites); Set (abstract data type); Mathematical optimization; Structural engineering; Mathematics; Finite element method; Engineering; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.05141796769271931,"gpt":0.3193790466193673,"spread":0.2679610789266479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003086608,0.0003908968,0.0006809437,0.0007456994,0.0004277737,0.00003881049,0.0002440169,0.0002780731,0.0004910813],"category_scores_gemma":[0.00007617773,0.0004144002,0.0001427823,0.001194511,0.0003240557,0.0006136072,0.0001462213,0.0002326255,6.280522e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006064605,"about_ca_system_score_gemma":0.00007899271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009720107,"about_ca_topic_score_gemma":0.00007092165,"domain_scores_codex":[0.9979637,0.0001310422,0.0007598313,0.000532417,0.0002412711,0.0003716902],"domain_scores_gemma":[0.9986534,0.0001302943,0.0002116427,0.0004400421,0.0003736112,0.0001910484],"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":[0.00002408202,0.00002137914,0.007320689,0.0000310006,0.0003542834,0.000006420405,0.0005697904,0.990508,0.000738655,0.0001111596,0.000004150833,0.0003104453],"study_design_scores_gemma":[0.0004765035,0.00006025073,0.008872804,0.00002003934,0.0003973554,0.00006172448,0.0001412724,0.9885353,0.0009578883,0.00005372222,0.000002065278,0.0004210958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2166074,0.0001674699,0.7825702,0.00002821548,0.0002052066,0.0001606037,0.00005224209,0.0001611569,0.00004744675],"genre_scores_gemma":[0.4685036,0.00006046445,0.5310867,0.000006848323,0.0000353763,0.000007617053,0.0002543227,0.00003143016,0.00001368922],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2518961,"threshold_uncertainty_score":0.9998308,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2329173197","doi":"10.2514/6.2008-5967","title":"Aero-Structural Optimization of Non-Planar Lifting Surface Configurations","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Planar; Surface (topology); Computer science; Geometry; Mathematics; Computer graphics (images)","retraction":null,"screen_n_in":null,"score":{"opus":0.01730480032384949,"gpt":0.2533015251227551,"spread":0.2359967247989056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001440513,0.0002660631,0.0004410865,0.0001715266,0.000646497,0.00004138815,0.000266467,0.0001475735,0.001411982],"category_scores_gemma":[0.00009134698,0.0002417285,0.0001161041,0.001348934,0.0005443427,0.0006453565,0.0001645605,0.0001570403,0.000009152035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004517938,"about_ca_system_score_gemma":0.00003167071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001462477,"about_ca_topic_score_gemma":0.00005495479,"domain_scores_codex":[0.998275,0.00005914511,0.0005356988,0.0005420577,0.0003065121,0.0002815514],"domain_scores_gemma":[0.9989204,0.0001063846,0.0003705305,0.0003723468,0.0001130223,0.0001172892],"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":[0.00002122336,0.00003474213,0.08291019,0.000007383532,0.00007714238,0.000005714566,0.0005469399,0.9123178,0.003517804,0.00008244144,0.00002050732,0.0004580886],"study_design_scores_gemma":[0.000332742,0.00007457671,0.04410032,0.00001398726,0.0001812667,0.000009999606,0.0004022037,0.9519498,0.00255229,0.00009081783,0.000009362335,0.0002826033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2528869,0.00003957341,0.7454556,0.0001781985,0.00003096452,0.0002066005,0.00002595531,0.00008926378,0.001086999],"genre_scores_gemma":[0.7487332,0.0003161866,0.2505318,0.00001564399,0.000008369801,0.000008872916,0.0001524319,0.00001173601,0.0002217275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4958464,"threshold_uncertainty_score":0.9995009,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2317445759","doi":"10.2514/6.2008-5847","title":"Aerostructural Optimization of Aircraft Structures Using Asymmetric Subspace Optimization","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Subspace topology; Computer science; Mathematical optimization; Artificial intelligence; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.08238258530710522,"gpt":0.3247730691608307,"spread":0.2423904838537255,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009266802,0.0004390102,0.0009584895,0.001756187,0.0007132645,0.0002254335,0.0006091757,0.0002636454,0.0007917059],"category_scores_gemma":[0.001563021,0.0003538182,0.0002826664,0.006018267,0.0004256055,0.0009506447,0.0002747529,0.0002172944,0.00000217362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007192574,"about_ca_system_score_gemma":0.0002210861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009435636,"about_ca_topic_score_gemma":0.00001254485,"domain_scores_codex":[0.9957749,0.0002904212,0.001351677,0.0009802425,0.001195472,0.0004072808],"domain_scores_gemma":[0.9958671,0.0006163939,0.0008887806,0.0007670423,0.00159401,0.000266676],"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":[0.00005973319,0.00005238629,0.01615389,0.00001638969,0.0001776552,0.000006444518,0.0005982463,0.9819543,0.00009154719,0.0004722516,0.00002472157,0.0003924783],"study_design_scores_gemma":[0.0005362417,0.00008618444,0.01096893,0.00002066755,0.0004584996,0.00002761626,0.0003569606,0.9865486,0.0002999613,0.0002858635,0.00000360623,0.0004068737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04618035,0.0002831833,0.9525685,0.0001093754,0.0001967021,0.000325315,0.00005081781,0.00007916051,0.0002065883],"genre_scores_gemma":[0.582624,0.0002248898,0.4168282,0.00001047043,0.00003647821,0.000005608876,0.0001066349,0.00001829192,0.0001454561],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5364437,"threshold_uncertainty_score":0.9998914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987213170","doi":"10.2514/6.2008-5807","title":"An Investigation of Induced Drag Minimization Using a Newton-Krylov Algorithm","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Mitacs","keywords":"Minification; Drag; Computer science; Algorithm; Newton's method; Mathematical optimization; Mathematics; Mechanics; Physics; Nonlinear system","retraction":null,"screen_n_in":null,"score":{"opus":0.0225928862867552,"gpt":0.2528585853794711,"spread":0.2302656990927159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001293588,0.0002423565,0.0003880345,0.0005181209,0.0002610073,0.00006162154,0.0001460104,0.0001350241,0.00005705379],"category_scores_gemma":[0.00001513819,0.0002608034,0.00009798308,0.001336841,0.0001021323,0.0005604884,0.00005314297,0.0001212084,7.155196e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005077163,"about_ca_system_score_gemma":0.00009270746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008699294,"about_ca_topic_score_gemma":0.00004024635,"domain_scores_codex":[0.9985776,0.00005297117,0.0005519185,0.0003628199,0.0002620282,0.0001926501],"domain_scores_gemma":[0.9989301,0.00006109638,0.0001652358,0.0002605095,0.0004205772,0.00016248],"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":[0.000007439226,0.00004100286,0.01892792,0.00002053159,0.0001583252,0.000002937847,0.0009993226,0.9754483,0.002686743,0.0002470965,0.00000239317,0.001457969],"study_design_scores_gemma":[0.000307884,0.00005541348,0.05221304,0.00002075119,0.0002390371,0.000007048443,0.0001210175,0.9463421,0.000284624,0.0001382134,6.725975e-7,0.0002702014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4808654,0.00002748317,0.5188519,0.00001622635,0.00004514625,0.00008967626,0.00003409487,0.00005356133,0.00001654763],"genre_scores_gemma":[0.8079895,0.0001836257,0.1908885,0.000007078838,0.00003203759,0.000006399418,0.0008583619,0.00002304182,0.00001149658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3279634,"threshold_uncertainty_score":0.9999844,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2325938468","doi":"10.2514/6.2008-5956","title":"Reconfigurable Semi-Analytic Sensitivity Methods and MDO Architectures within the piMDO Framework","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Sensitivity (control systems); Computer science; Computer architecture; Electronic engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.08066532835160008,"gpt":0.3662120968079168,"spread":0.2855467684563167,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004940671,0.0003601962,0.0008110349,0.0005125231,0.001166456,0.0003879746,0.0004079623,0.000202107,0.0003640846],"category_scores_gemma":[0.005349112,0.0002192234,0.0002171457,0.002256374,0.0006469354,0.0002424159,0.0002206244,0.0004594385,0.000007970276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002561501,"about_ca_system_score_gemma":0.0001392036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007705685,"about_ca_topic_score_gemma":0.00006585838,"domain_scores_codex":[0.996034,0.001073178,0.0008847936,0.0009866578,0.0006739463,0.0003474428],"domain_scores_gemma":[0.9923457,0.005498739,0.0004479745,0.0009106437,0.0005296836,0.0002672964],"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":[0.00004023862,0.00003512489,0.008238787,0.000008991643,0.0002728925,0.00001693315,0.002478665,0.9848427,0.0001225757,0.001495304,0.00005845483,0.002389347],"study_design_scores_gemma":[0.0001683509,0.00005239327,0.02132151,0.00002734631,0.0004827424,0.00006173155,0.0006300973,0.9682332,0.0002661361,0.008397401,0.0000464224,0.0003127179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05582061,0.0003779672,0.9415624,0.001214351,0.0001218428,0.000242725,0.00002116037,0.00006869309,0.0005702281],"genre_scores_gemma":[0.7638755,0.0001766779,0.2350747,0.00009235413,0.00004571162,0.00001490212,0.00001149663,0.00001348914,0.0006951277],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7080549,"threshold_uncertainty_score":0.897155,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2334303329","doi":"10.2514/6.2008-5968","title":"Toward High-Fidelity Aerostructural Optimization Using a Coupled ADjoint Approach","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","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 Toronto","funders":"","keywords":"Adjoint equation; Solver; Sensitivity (control systems); Linear system; Computer science; Block (permutation group theory); Applied mathematics; High fidelity; Mathematical optimization; Computational fluid dynamics; Fidelity; Mathematics; Algorithm; Partial differential equation; Mathematical analysis; Engineering; Electronic engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02658328982029757,"gpt":0.2353990167381506,"spread":0.208815726917853,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001716782,0.000376114,0.000562843,0.0003820888,0.0004730613,0.0001461493,0.0001918984,0.0001563838,0.0001604882],"category_scores_gemma":[0.00003261338,0.0003758316,0.0001727629,0.001195751,0.0001405091,0.0004648366,0.0001423853,0.0002100089,0.000001443129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181601,"about_ca_system_score_gemma":0.00008006283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001426584,"about_ca_topic_score_gemma":0.00002666304,"domain_scores_codex":[0.9980724,0.00005618047,0.0006452125,0.0005515825,0.0003410079,0.0003335558],"domain_scores_gemma":[0.9988635,0.00006372986,0.0001480181,0.0003069813,0.0004234988,0.000194301],"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":[0.00002146228,0.00004441249,0.003731373,0.00004078639,0.0002767984,0.000006687195,0.0004402407,0.994724,0.000204011,0.0003930796,0.000003294674,0.0001138239],"study_design_scores_gemma":[0.0004950693,0.00002721363,0.01742669,0.00001551731,0.0003468617,0.00002739479,0.0001347508,0.980985,0.00001717806,0.00008459739,6.662551e-7,0.0004390767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3531055,0.00008995819,0.6462511,0.00003110314,0.00009194676,0.0001704563,0.00004730354,0.0001374019,0.00007530648],"genre_scores_gemma":[0.695769,0.000379037,0.3027569,0.00001166843,0.00004169706,0.00001190848,0.0009794572,0.00002714797,0.00002318317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3434942,"threshold_uncertainty_score":0.9998693,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2316430657","doi":"10.2514/6.2008-5808","title":"A Strategy for Multi-Objective Shape Optimization for Turbine Stages in Three-Dimensional Flow","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Turbine; Flow (mathematics); Mechanical engineering; Engineering; Mechanics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.05073634765538736,"gpt":0.3092538414732378,"spread":0.2585174938178504,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004778813,0.0005640867,0.000848222,0.001040767,0.0008800485,0.000220544,0.0005707767,0.0002488645,0.0001568541],"category_scores_gemma":[0.0003272028,0.0005556821,0.0002884124,0.002318011,0.0002290572,0.001812389,0.0003177774,0.0002266477,0.000001843846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535004,"about_ca_system_score_gemma":0.0003350696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005710082,"about_ca_topic_score_gemma":0.0003153838,"domain_scores_codex":[0.9963924,0.0001303821,0.0009158009,0.00152788,0.0004021702,0.0006313489],"domain_scores_gemma":[0.9965421,0.0004778481,0.0005192285,0.0005943349,0.001608462,0.0002580027],"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":[0.0001541049,0.0003776798,0.003704392,0.00003156652,0.0002163944,0.00001004748,0.0007968837,0.9894648,0.00003412944,0.0006097665,0.000009366768,0.004590922],"study_design_scores_gemma":[0.003550051,0.0003116032,0.007851086,0.00003804857,0.0001704784,0.00001205909,0.0001420661,0.9868154,0.0002024407,0.0002398222,0.000005737561,0.0006611943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004356379,0.0002027644,0.9928152,0.0002877628,0.0001460715,0.001786077,0.0001923784,0.0001862971,0.00002709225],"genre_scores_gemma":[0.1957613,0.0001885087,0.8026456,0.00005735103,0.00004771586,0.00047901,0.0005993306,0.00003945607,0.0001817082],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1914049,"threshold_uncertainty_score":0.9996895,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2322589336","doi":"10.2514/6.2008-5961","title":"Application of Reduced Order Modelling to Fluid-Structure Interaction Analysis","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Order (exchange); Fluid–structure interaction; Finite element method; Physics; Thermodynamics","retraction":null,"screen_n_in":null,"score":{"opus":0.01862129191038138,"gpt":0.2495236885761516,"spread":0.2309023966657702,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001385235,0.0002407505,0.0006164382,0.000827182,0.0001898223,0.00004033121,0.0001599816,0.0001301995,0.0002102752],"category_scores_gemma":[0.00003228573,0.0002288613,0.0001631583,0.00335601,0.00004635128,0.0002567976,0.00004931757,0.0001117753,0.000004554492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004005428,"about_ca_system_score_gemma":0.00003324479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001867258,"about_ca_topic_score_gemma":0.00008391561,"domain_scores_codex":[0.9984618,0.00005295715,0.0006525456,0.0003909679,0.0002462558,0.0001954421],"domain_scores_gemma":[0.9988018,0.00006776593,0.0001704296,0.0004105506,0.0003600825,0.000189353],"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":[0.00001688534,0.00002325336,0.007269483,0.00003764458,0.001065116,8.667893e-7,0.002345743,0.9862641,0.002325588,0.00003935463,0.00001814519,0.0005938801],"study_design_scores_gemma":[0.0001477813,0.00002296919,0.002826987,0.00001824754,0.00115177,0.000003757823,0.0003406472,0.9936358,0.001563144,0.00001487525,0.0000328529,0.0002412063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2679027,0.00005372579,0.7313758,0.00006196409,0.00005027076,0.0001887173,0.00002773283,0.00007202753,0.0002670579],"genre_scores_gemma":[0.9551175,0.0001945685,0.04418543,0.00001303603,0.00003192631,0.00003222764,0.0003419785,0.00001873242,0.0000646392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6872148,"threshold_uncertainty_score":0.9332691,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2320361506","doi":"10.2514/6.2008-5806","title":"A Newton-Krylov Approach for Aerodynamic Shape Optimization of Wings","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Aerodynamics; Computer science; Control theory (sociology); Aerospace engineering; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01495911881147722,"gpt":0.2291551865642041,"spread":0.2141960677527269,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001737282,0.0003066297,0.0005440729,0.0004652727,0.0002953376,0.00005966367,0.0002059213,0.0001438405,0.0001008253],"category_scores_gemma":[0.00003945303,0.0003169808,0.000221957,0.001096502,0.0001303302,0.0003358053,0.00008686599,0.0001222025,5.669245e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004984295,"about_ca_system_score_gemma":0.00006156145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002054781,"about_ca_topic_score_gemma":0.00001761181,"domain_scores_codex":[0.9983622,0.0000302244,0.000620783,0.0004636251,0.0002481176,0.0002750001],"domain_scores_gemma":[0.9988387,0.0001246513,0.0001685207,0.0002714185,0.0004654227,0.0001313144],"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":[0.00003237425,0.00009916843,0.004602885,0.00008433368,0.0003318496,0.00000113505,0.0003832662,0.9930035,0.0001977003,0.0007043269,0.00001534028,0.0005441445],"study_design_scores_gemma":[0.0005734016,0.00006566803,0.01038256,0.00001706335,0.0003621115,0.000006348705,0.00009411255,0.9880868,0.00001728285,0.00004975639,0.000003997209,0.0003409374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1826607,0.0001149065,0.8163572,0.00004722543,0.00005668062,0.0003151294,0.0001032588,0.0001045669,0.0002402971],"genre_scores_gemma":[0.7122388,0.0005095624,0.2857163,0.000007430245,0.00002681432,0.00003979027,0.001339537,0.00003145251,0.00009030357],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5306409,"threshold_uncertainty_score":0.9999282,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2326587361","doi":"10.2514/6.2008-5874","title":"A New Airfoil for the Supporting Struts of Smaller-Capacity Straight-Bladed VAWT","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Airfoil; Drag; Lift (data mining); Marine engineering; Turbine; Lift-to-drag ratio; Wind power; Aerospace engineering; Vertical axis wind turbine; Structural engineering; Engineering; Computer science; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04041461995151956,"gpt":0.25845990283861,"spread":0.2180452828870904,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002630979,0.0002222875,0.0003920636,0.0002319433,0.0003896648,0.00005603933,0.000236932,0.00009728997,0.0005544721],"category_scores_gemma":[0.00007296322,0.0001679814,0.0001684906,0.0007105216,0.0001078102,0.0002215984,0.00008918203,0.0001421419,0.000001409377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002643342,"about_ca_system_score_gemma":0.0001488603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008444547,"about_ca_topic_score_gemma":0.0001513734,"domain_scores_codex":[0.9985082,0.00003124544,0.0005119542,0.0003026471,0.0002820008,0.0003639965],"domain_scores_gemma":[0.9989291,0.0002007782,0.000129182,0.0002811351,0.0002456881,0.0002141139],"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":[0.00004204828,0.00003068968,0.005101238,0.00005152573,0.000617201,0.000002801825,0.001236771,0.9882371,0.0004045422,0.0003470282,0.0002158224,0.003713243],"study_design_scores_gemma":[0.000539351,0.00005942177,0.02900734,0.00001905674,0.0001963577,0.000004133784,0.0002681303,0.9665773,0.002910591,0.00009121504,0.0001058536,0.0002212573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09962039,0.0001602626,0.8986839,0.000230635,0.00006321858,0.0002387589,0.00003390552,0.000075122,0.0008937773],"genre_scores_gemma":[0.9168882,0.0005827136,0.08183204,0.000007969566,0.00005220383,0.00003672489,0.0001026543,0.00001773762,0.0004797497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8172678,"threshold_uncertainty_score":0.6850082,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025269258","doi":"10.2514/6.2008-6079","title":"Integrated Geometry Parameterization and Grid Movement Using B-Spline Meshes","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Numerical Analysis Techniques","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":"University of Toronto","funders":"Mitacs","keywords":"Polygon mesh; Morphing; Grid; Spline (mechanical); Mesh generation; Computer science; Mathematics; Geometry; B-spline; Algorithm; Mathematical analysis; Computer graphics (images); Engineering; Finite element method; Structural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02398186266902391,"gpt":0.2552906812869728,"spread":0.2313088186179489,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000133493,0.0003310577,0.0005715944,0.0006116845,0.0003279728,0.00008286053,0.0001272219,0.0001242606,0.0001766498],"category_scores_gemma":[0.00005143937,0.0003010971,0.0001123905,0.001974491,0.0001754234,0.0005026807,0.0001250181,0.0001711376,0.000001177557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006093029,"about_ca_system_score_gemma":0.00002096015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006608211,"about_ca_topic_score_gemma":0.00002160654,"domain_scores_codex":[0.9984303,0.00005177307,0.0005428424,0.0004797936,0.000226313,0.0002689841],"domain_scores_gemma":[0.9991091,0.00006875892,0.0001440714,0.0002828889,0.0002248434,0.0001702931],"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":[0.00001827853,0.00004986382,0.01513353,0.00002918518,0.0003728757,0.000007292173,0.0002188683,0.9790004,0.003146337,0.00005337915,0.00001011242,0.001959857],"study_design_scores_gemma":[0.0002078068,0.00004969832,0.007048842,0.00002724754,0.0004882037,0.000005616137,0.0001413845,0.9881964,0.003325202,0.0001200688,0.00003095319,0.0003585262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3179232,0.0002729916,0.6813198,0.00003867204,0.0000279219,0.0001279321,0.00002619644,0.0002137624,0.0000494282],"genre_scores_gemma":[0.7720919,0.002815263,0.2246207,0.00002809045,0.00003067244,0.00002034201,0.0003223195,0.00002543514,0.00004527335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4566992,"threshold_uncertainty_score":0.9999441,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2314630874","doi":"10.2514/6.2008-6043","title":"Multiscale Model of the Effective Properties of the Octet-Truss Lattice Material","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Truss; Buckling; Materials science; Lattice (music); Material properties; Structuring; Elastic modulus; Metamaterial; Structural engineering; Mechanics; Composite material; Physics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01202189890540178,"gpt":0.194379905418342,"spread":0.1823580065129402,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006966691,0.000172167,0.0003172042,0.0000813123,0.0002525979,0.00002171371,0.0002597439,0.00007505708,0.00004392223],"category_scores_gemma":[0.00001711975,0.0001003111,0.0001761893,0.0004613802,0.0002498984,0.000120498,0.0001818264,0.0001078846,2.390311e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001411203,"about_ca_system_score_gemma":0.00002741353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006087201,"about_ca_topic_score_gemma":0.00004590596,"domain_scores_codex":[0.9990903,0.00007524656,0.0003133488,0.0001899908,0.0001971602,0.0001339511],"domain_scores_gemma":[0.9993126,0.00002795237,0.0001216093,0.0003516921,0.0001482791,0.0000378094],"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":[0.00003381218,0.00002477876,0.007916106,0.00006598166,0.0001980313,2.558763e-7,0.001652098,0.9435646,0.0463148,0.00007075653,0.000002934029,0.000155853],"study_design_scores_gemma":[0.0001897252,0.00001286202,0.02741183,0.00003467689,0.0003020803,0.000002255557,0.00008325116,0.8353257,0.136496,0.00003065097,0.000001199223,0.0001098667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9208643,0.0001418327,0.07826092,0.00003597183,0.0001062655,0.0002737195,0.00005001601,0.00002802262,0.0002389925],"genre_scores_gemma":[0.9968485,0.0001109702,0.0028736,0.000004547733,0.00001739856,0.00001594433,0.00001288111,0.00001277937,0.000103406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.108239,"threshold_uncertainty_score":0.4090568,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2319669160","doi":"10.2514/6.2008-5991","title":"Computational Simulation for Trabecular Adaptation in Human Proximal Femur Using Design Space Optimization","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Adaptation (eye); Space (punctuation); Physics; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.08171191234289427,"gpt":0.3278680588212431,"spread":0.2461561464783489,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003385933,0.0002608629,0.000498415,0.0006135297,0.000610042,0.00006204372,0.00005660886,0.0001458147,0.0001709639],"category_scores_gemma":[0.0001018339,0.0002506332,0.0001476603,0.0008501814,0.0001310425,0.0004463892,0.00003679372,0.0001288741,6.17172e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007002537,"about_ca_system_score_gemma":0.0001985898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004730211,"about_ca_topic_score_gemma":0.00001966696,"domain_scores_codex":[0.9981267,0.0001129566,0.0006188661,0.0005380302,0.000326509,0.0002769721],"domain_scores_gemma":[0.9987269,0.000175834,0.0002984588,0.0001705201,0.0004797186,0.0001485934],"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":[0.0003743258,0.0002283691,0.02059951,0.00004250272,0.0001603798,0.00001752887,0.001116672,0.9766266,0.0001241427,0.0001352429,0.00000314496,0.0005715588],"study_design_scores_gemma":[0.003319686,0.0002756897,0.01834924,0.00006637094,0.0005594191,0.00002718467,0.0003187163,0.9766924,0.00006997285,0.00005018067,0.000004924779,0.0002661776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1688644,0.0000548242,0.8298708,0.0001318769,0.00003229272,0.0009360955,0.00002353281,0.00004332339,0.00004294601],"genre_scores_gemma":[0.6499535,0.00004692706,0.3491287,0.00002217031,0.00004046044,0.00003107337,0.0006953971,0.00001757623,0.00006416532],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4810892,"threshold_uncertainty_score":0.9999946,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2316654201","doi":"10.2514/6.2008-6090","title":"A Modular MDO Tool for Conceptual Aircraft Design","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Modular design; Conceptual design; Computer science; Systems engineering; Engineering; Aerospace engineering; Human–computer interaction; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.02976131772568327,"gpt":0.2425038084636136,"spread":0.2127424907379303,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002649436,0.0003073658,0.0005721341,0.0002983939,0.0004050261,0.000116453,0.0001682175,0.0001568736,0.0003076432],"category_scores_gemma":[0.00005720003,0.0002940659,0.0002203529,0.0006278393,0.0001303336,0.0004679611,0.00004015964,0.0001098762,0.00001043327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003901663,"about_ca_system_score_gemma":0.00005504465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001806583,"about_ca_topic_score_gemma":0.000008473305,"domain_scores_codex":[0.9983379,0.0000888615,0.0005711283,0.000442258,0.000232915,0.0003269112],"domain_scores_gemma":[0.9988731,0.0002025769,0.0001181498,0.0003341479,0.0003107849,0.0001612927],"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":[0.00005176451,0.00003386245,0.002192553,0.00002303042,0.0004042572,0.000004621409,0.0008999652,0.9946267,0.0006334572,0.0002872263,0.0000845687,0.0007580012],"study_design_scores_gemma":[0.001113731,0.00007709212,0.0049276,0.00001666409,0.0003503902,0.000005799341,0.000254854,0.9923993,0.0002313416,0.00005026431,0.0001940289,0.000378938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04158786,0.0003122202,0.9566395,0.00007701381,0.00009644914,0.0006336161,0.0000369289,0.0002440902,0.0003723151],"genre_scores_gemma":[0.946735,0.0003340063,0.05197025,0.00002253967,0.00008138488,0.0001482185,0.0001999432,0.00003367376,0.0004750387],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9051471,"threshold_uncertainty_score":0.9999511,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2332387013","doi":"10.2514/6.2008-5833","title":"Optimization of Control Strategy and Key Components of a Two-mode Hybrid Vehicle","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Electric and Hybrid Vehicle Technologies","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 Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Key (lock); Computer science; Control (management); Mode (computer interface); Computer security; Artificial intelligence; Human–computer interaction","retraction":null,"screen_n_in":null,"score":{"opus":0.0178129432893808,"gpt":0.2433306084780512,"spread":0.2255176651886704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001168726,0.0002162413,0.0005688383,0.0003935,0.0001499532,0.00002383873,0.0001465963,0.00007810932,0.00005658397],"category_scores_gemma":[0.00002550981,0.0002105893,0.00008499382,0.0006609277,0.0002481306,0.0002760825,0.00006328366,0.0001313269,4.168463e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001717905,"about_ca_system_score_gemma":0.00002839429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001149347,"about_ca_topic_score_gemma":0.00001671913,"domain_scores_codex":[0.9987512,0.00004303255,0.0005189612,0.0002857845,0.0001892168,0.0002118655],"domain_scores_gemma":[0.9991496,0.00008751122,0.0001948565,0.0002412472,0.0002448392,0.00008191221],"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":[0.00003867682,0.00006373482,0.03204197,0.00005046352,0.0003046588,0.000006121435,0.0001623289,0.9646378,0.001644283,0.000306875,0.000006200269,0.0007368496],"study_design_scores_gemma":[0.001026641,0.000106174,0.01599874,0.00002533862,0.0003377598,0.00001071196,0.00007241682,0.9787912,0.003348171,0.00007738682,0.000001287321,0.0002041334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4996794,0.0003862353,0.499458,0.00002519088,0.00001112545,0.0001217483,0.00004013801,0.00008989673,0.0001883115],"genre_scores_gemma":[0.9765325,0.002371396,0.02091801,0.000004259884,0.000009057573,0.00001191037,0.000108166,0.00001692798,0.00002782572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.47854,"threshold_uncertainty_score":0.8587583,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2324869646","doi":"10.2514/6.2008-6063","title":"Development of an Automotive Magnetorheological Brake via Design Optimization of the Magnetic Circuit","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Vibration Control and Rheological Fluids","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 Victoria","funders":"","keywords":"Automotive industry; Brake; Automotive engineering; Magnetorheological fluid; Magnetic circuit; Computer science; Engineering; Manufacturing engineering; Electrical engineering; Control engineering; Magnet; Damper; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02744658178548337,"gpt":0.221357440396356,"spread":0.1939108586108727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002554974,0.0002395358,0.0004810938,0.0002057903,0.0003017134,0.00002269341,0.0002680666,0.0001710832,0.0008454382],"category_scores_gemma":[0.00006905303,0.0001695952,0.0001242055,0.0009286701,0.0002778326,0.0002635354,0.0001014436,0.0001288687,0.000001259531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002407734,"about_ca_system_score_gemma":0.00008329873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000640494,"about_ca_topic_score_gemma":0.0000138617,"domain_scores_codex":[0.9983147,0.000167169,0.000704591,0.0003275365,0.0002765606,0.0002094103],"domain_scores_gemma":[0.9989413,0.0001058128,0.00016947,0.0002945344,0.0003721374,0.0001167443],"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":[0.00002882396,0.0001057325,0.002155399,0.00002091739,0.0001639589,0.000001839921,0.001111207,0.9917626,0.001723853,0.0001508533,0.000002803451,0.002771953],"study_design_scores_gemma":[0.0004046834,0.0001257912,0.04255182,0.00001493114,0.0002211338,0.000005189283,0.0001014407,0.9536922,0.002622008,0.0000555313,0.000002656915,0.0002026432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09044155,0.0001791351,0.908657,0.00003702536,0.00005859955,0.0002710335,0.00001106537,0.00007828721,0.0002663223],"genre_scores_gemma":[0.8162621,0.000156656,0.1833876,0.00001228045,0.0000138039,0.00002203511,0.0000620463,0.00001115308,0.00007236874],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7258205,"threshold_uncertainty_score":0.9256955,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2107896128","doi":"10.2514/6.2008-5987","title":"Multiobjective Design Optimization of Total Knee Replacements Considering UHMWPE Damage and Kinematics","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Kinematics; Computer science; Total knee replacement; Materials science; Structural engineering; Engineering; Physics; Surgery; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.03586168951920281,"gpt":0.2801987743179165,"spread":0.2443370847987137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000313061,0.0002716699,0.0006686202,0.0004193588,0.0004442502,0.00004054347,0.00003877798,0.0001211862,0.0004350828],"category_scores_gemma":[0.000228736,0.0002381012,0.0001059735,0.0006031189,0.0003180043,0.000325606,0.0001349686,0.0001693375,0.000001088181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002261133,"about_ca_system_score_gemma":0.0001212679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003647623,"about_ca_topic_score_gemma":0.000007435262,"domain_scores_codex":[0.9982039,0.0001265979,0.0006317753,0.000486299,0.0003099711,0.0002414974],"domain_scores_gemma":[0.9985104,0.000211477,0.0003714076,0.0002961401,0.0004067896,0.0002037818],"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":[0.0003224077,0.0002079168,0.05977935,0.0001000119,0.0005464255,0.00004371406,0.00209444,0.9358197,0.0002914494,0.00003714448,0.00001917304,0.0007383018],"study_design_scores_gemma":[0.001881826,0.0003828803,0.05394515,0.0001073677,0.0009335364,0.0001240042,0.000879121,0.9409604,0.0005459895,0.000006170716,0.000003141543,0.0002303802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2947945,0.0001002757,0.7041801,0.0001033639,0.00004550007,0.0004331429,0.0000296857,0.00003855751,0.0002748613],"genre_scores_gemma":[0.7762482,0.0006431966,0.2225742,0.00002944695,0.00002445127,0.00001512201,0.0001473192,0.00001688934,0.0003011519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4816059,"threshold_uncertainty_score":0.9709484,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2335583346","doi":"10.2514/6.2008-6022","title":"Method of Regular Simplexes: A Difference-Assisted Simplex-Based Search Algorithm","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","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 Toronto","funders":"","keywords":"Simplex algorithm; Simplex; Algorithm; Computation; Computer science; Function (biology); Path (computing); Set (abstract data type); Gradient descent; Pattern search; Mathematical optimization; Mathematics; Linear programming; Combinatorics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.09351532284594812,"gpt":0.3881075904777488,"spread":0.2945922676318007,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009301862,0.0005227396,0.001267925,0.001257551,0.0007578759,0.00009674028,0.0005419925,0.0002777845,0.001208311],"category_scores_gemma":[0.0004824117,0.0004773392,0.0003807105,0.00349721,0.0005873274,0.0003800066,0.0003644528,0.000399115,0.000003572321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000969996,"about_ca_system_score_gemma":0.0003802599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001162971,"about_ca_topic_score_gemma":0.00005122527,"domain_scores_codex":[0.9953259,0.0006358803,0.001229257,0.001027369,0.001122515,0.0006590602],"domain_scores_gemma":[0.9949093,0.001348806,0.0005757821,0.0009659262,0.001784375,0.0004157966],"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":[0.0001772547,0.0009090995,0.00428183,0.0002089442,0.0009276824,0.00005095447,0.00169494,0.9300783,0.0006302498,0.001817238,0.00005071452,0.05917279],"study_design_scores_gemma":[0.001382644,0.0001825857,0.005812252,0.00005419416,0.0005289858,0.00002074179,0.0005990032,0.9863999,0.0026843,0.001799841,0.00003037445,0.0005051629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008847829,0.00008153079,0.9894851,0.0003516411,0.00002718789,0.0006368964,0.0001804002,0.0001483449,0.0002410526],"genre_scores_gemma":[0.1378712,0.0003806564,0.8602139,0.00002762609,0.00003322534,0.00007043872,0.0004068406,0.00005617238,0.0009399257],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1292712,"threshold_uncertainty_score":0.9997678,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2330813385","doi":"10.2514/6.2008-5932","title":"Progressive Validity Trust Region Optimization","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","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 Toronto","funders":"","keywords":"Trust region; Computer science; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.04354315104184983,"gpt":0.2834841362981003,"spread":0.2399409852562504,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003101646,0.0005429123,0.0007244169,0.0008596505,0.001345006,0.0003433173,0.000794076,0.0002402397,0.0002382944],"category_scores_gemma":[0.0002399414,0.00052327,0.0002527219,0.003524181,0.0003900156,0.002575055,0.0005924196,0.0003012294,0.00001051398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235863,"about_ca_system_score_gemma":0.0002217459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002709631,"about_ca_topic_score_gemma":0.000007825399,"domain_scores_codex":[0.996281,0.0002993341,0.0008000957,0.001450859,0.0006121224,0.0005565482],"domain_scores_gemma":[0.996378,0.000184376,0.0007153315,0.001021749,0.001317695,0.0003828148],"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":[0.00003571495,0.0002188489,0.009673138,0.00001365961,0.0001805301,0.0001070292,0.00125924,0.9859167,0.00001134934,0.001022905,0.00003062242,0.001530248],"study_design_scores_gemma":[0.0009063419,0.0001499543,0.006175751,0.00002786994,0.0002307062,0.0001276062,0.0001576709,0.9911382,0.0002723441,0.0001499389,0.00002942475,0.0006341541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003244919,0.0001804801,0.994021,0.0006042277,0.0001916232,0.0006047866,0.00001621665,0.0004282534,0.0007085032],"genre_scores_gemma":[0.3665034,0.0007689442,0.6317618,0.00006512674,0.00006333325,0.0000862474,0.0002050827,0.00002830816,0.0005177639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3632585,"threshold_uncertainty_score":0.9999551,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2328952716","doi":"10.2514/6.2008-6076","title":"Simulating Active Vibration Attenuation in Underactuated Spatial Structures","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Structural Analysis and Optimization","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 Saskatchewan","funders":"","keywords":"Nonholonomic system; Finite element method; Underactuation; Degrees of freedom (physics and chemistry); Lagrange multiplier; Control theory (sociology); Modal; Actuator; Vibration; Mathematics; Optimal control; Computer science; Mathematical optimization; Physics; Engineering; Structural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01952194201979315,"gpt":0.2463047120377243,"spread":0.2267827700179312,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001073423,0.0003020101,0.0004631148,0.0006639027,0.0003591055,0.0001055369,0.00011622,0.0001616903,0.0006617311],"category_scores_gemma":[0.00006638563,0.0002831799,0.0001178603,0.001572261,0.00007668206,0.0007553757,0.00005377619,0.0001982178,0.000004004666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008646752,"about_ca_system_score_gemma":0.00003585791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002518023,"about_ca_topic_score_gemma":0.0006157616,"domain_scores_codex":[0.9983412,0.00008174642,0.0005949025,0.0004423638,0.0002776132,0.0002621629],"domain_scores_gemma":[0.9991518,0.0001058297,0.0001806175,0.0002166112,0.0002404303,0.0001046871],"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":[0.00003375699,0.00001778494,0.02885129,0.00001308912,0.0001973088,0.000004936846,0.001277593,0.9655842,0.0004694748,0.0000615671,0.000003781836,0.003485183],"study_design_scores_gemma":[0.0004192994,0.0000250656,0.177777,0.00001288507,0.0002133484,0.000002989371,0.0002634508,0.8201734,0.0007080798,0.000124766,0.000002280408,0.0002774684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4461633,0.00004205927,0.5532309,0.00005644556,0.00005235523,0.0001536132,0.00001424638,0.00009299241,0.0001941034],"genre_scores_gemma":[0.9811352,0.0003022503,0.01738224,0.00002411867,0.00005613911,0.00001663454,0.001029002,0.00002338639,0.00003096421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5358487,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2330028671","doi":"10.2514/6.2008-5980","title":"Design of a Polymer Electrolyte Fuel Cell Membrane Electrode Assembly for Maximum Performance under Different Operating Conditions","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Fuel Cells and Related Materials","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":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Proton exchange membrane fuel cell; Computer science; Finite element method; Membrane electrode assembly; Electrolyte; Optimal design; Optimization problem; Mathematical optimization; Materials science; Electrode; Algorithm; Fuel cells; Engineering; Chemical engineering; Mathematics; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01648333414454617,"gpt":0.2255962945118766,"spread":0.2091129603673304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001753448,0.0003165599,0.0005816148,0.0003028349,0.0003620166,0.00006307986,0.0001512061,0.0001665243,0.0002356098],"category_scores_gemma":[0.000009146998,0.0002723246,0.0001367041,0.0004902574,0.00008610187,0.0002664968,0.00004258433,0.0001418209,0.000002000532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003211268,"about_ca_system_score_gemma":0.00005692685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001106361,"about_ca_topic_score_gemma":0.000005114446,"domain_scores_codex":[0.9984589,0.00007052382,0.0005649991,0.0003581048,0.0001738165,0.0003736902],"domain_scores_gemma":[0.9991448,0.0001396382,0.0001595462,0.0002396699,0.0002003193,0.0001160551],"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":[0.00004452323,0.00008082759,0.0002634527,0.0003369866,0.0003269776,0.00000136432,0.0003245482,0.8737833,0.1247744,0.00002716103,0.00001200057,0.00002438672],"study_design_scores_gemma":[0.0006188046,0.0001522846,0.0004293015,0.00002693337,0.0004862475,0.000005632763,0.00006087875,0.8124971,0.1854177,0.00002790304,0.000002585126,0.0002746298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2895671,0.001366492,0.7078838,0.00004682403,0.00007551167,0.0003929597,0.00004146663,0.00009559828,0.0005302426],"genre_scores_gemma":[0.9772489,0.009635284,0.0123568,0.00001327174,0.00003230105,0.00008575618,0.0003000726,0.00003865997,0.0002889719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6955271,"threshold_uncertainty_score":0.9999729,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}