{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"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":"3f121e49a020","filters":{"venue":"9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization"}},"results":[{"id":"W2125001838","doi":"10.2514/6.2002-5405","title":"Integrated Wing Design with Three Disciplines","year":2002,"lang":"en","type":"article","venue":"9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"U.S. Department of Defense","keywords":"Wing; Computer science; Aerospace engineering; Engineering","authors":[{"name":"Guoqing Shi","is_ca":true},{"name":"Fengxian Zhang","is_ca":true},{"name":"Suzhen Chen","is_ca":true},{"name":"XinFeng Yang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01550331756676189,"gpt":0.2080301682716588,"spread":0.1925268507048969,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001620614,0.0003632442,0.0004390075,0.0004465473,0.0004364801,0.0001752815,0.0001396328,0.0001380187,0.0002744409],"category_scores_gemma":[0.00001777289,0.0002831516,0.000118133,0.001316768,0.00008076028,0.0004970958,0.00003823933,0.0002095799,0.00001945868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005402853,"about_ca_system_score_gemma":0.000009284713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008582423,"about_ca_topic_score_gemma":0.00007780967,"domain_scores_codex":[0.9985116,0.00007739274,0.0004059176,0.0004380867,0.0002538852,0.0003131866],"domain_scores_gemma":[0.9991673,0.0001661971,0.00009757543,0.0003009384,0.0001067339,0.0001612716],"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":[0.00008410719,0.00008938839,0.004421905,0.00002387711,0.0004673799,0.000007616476,0.000454874,0.9930666,0.0005233778,0.00007390935,0.00006439721,0.0007225469],"study_design_scores_gemma":[0.0007155699,0.000245272,0.00253972,0.00005536943,0.0007478145,0.000002762118,0.000129754,0.9946879,0.000457947,0.00001696166,0.00002427942,0.000376678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02383179,0.0001361428,0.9741818,0.0004162953,0.0001087381,0.0003187072,0.00001776079,0.0003225542,0.0006661785],"genre_scores_gemma":[0.9398882,0.0002645109,0.05914103,0.00003099653,0.0001004117,0.00005826613,0.0001395777,0.00005209682,0.0003249316],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9160564,"threshold_uncertainty_score":0.9999621,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2323402416","doi":"10.2514/6.2002-5464","title":"Effective Multi-Mission Aircraft Conceptual Design Optimization Using a Hybrid Multi-Objective Evolutionary Method","year":2002,"lang":"en","type":"article","venue":"9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Conceptual design; Computer science; Evolutionary algorithm; Evolutionary computation; Multi-objective optimization; Systems engineering; Engineering; Artificial intelligence; Human–computer interaction; Machine learning","authors":[{"name":"Ruben Perez","is_ca":true},{"name":"Kamran Behdinan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03141683009952633,"gpt":0.3019477032560249,"spread":0.2705308731564985,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000899813,0.000996781,0.001123065,0.001785371,0.001755259,0.0003420613,0.0007512726,0.0003655438,0.0001681196],"category_scores_gemma":[0.0003267009,0.0009758555,0.0004796459,0.003980775,0.0003497326,0.002605198,0.000617196,0.0005590616,0.00002424747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007313159,"about_ca_system_score_gemma":0.0001014966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005418061,"about_ca_topic_score_gemma":0.000004134924,"domain_scores_codex":[0.9929239,0.001797274,0.001124556,0.002430148,0.0008480746,0.0008760568],"domain_scores_gemma":[0.9955597,0.0008658519,0.0009190891,0.001098739,0.001015256,0.0005413643],"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":[0.000129369,0.001084226,0.0009217304,0.00002174448,0.0005741825,0.00004430668,0.002365626,0.9920941,0.0005773096,0.0001270766,0.00002615341,0.002034195],"study_design_scores_gemma":[0.003414129,0.0005259104,0.001035067,0.00009637609,0.0007207179,0.00004849231,0.000357584,0.990859,0.001788618,0.0000270869,0.00001307852,0.001113934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003000136,0.0004184188,0.9957771,0.0002928352,0.0004434806,0.002075735,0.00006720243,0.0005320971,0.00009309166],"genre_scores_gemma":[0.03681435,0.0004759145,0.9613757,0.000133465,0.0001114646,0.0001657906,0.00022559,0.0001039495,0.0005937325],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03651434,"threshold_uncertainty_score":0.9995443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2085910326","doi":"10.2514/6.2002-5656","title":"A Preliminary Study of Wing Aerodynamic, Structural and Aeroelastic Design and Optimization","year":2002,"lang":"en","type":"article","venue":"9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization","topic":"Computational Fluid Dynamics and Aerodynamics","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":"Aeroelasticity; Aerodynamics; Wing; Computer science; Finite element method; Computational fluid dynamics; Aerospace engineering; Design methods; Wing configuration; Engineering; Structural engineering; Mechanical engineering","authors":[{"name":"Suzhen Chen","is_ca":true},{"name":"Fengxian Zhang","is_ca":true},{"name":"Guoqing Shi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008587318536714154,"gpt":0.2171344893996784,"spread":0.2085471708629643,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001863087,0.0003364042,0.0004665744,0.0005433357,0.000313668,0.0001071059,0.00009495073,0.0001096282,0.0000252719],"category_scores_gemma":[0.00001886197,0.0003293217,0.00006793521,0.0007449655,0.00007356128,0.0003163282,0.0001089669,0.0001495648,4.524705e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005051424,"about_ca_system_score_gemma":0.000005819094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001479991,"about_ca_topic_score_gemma":0.0000183172,"domain_scores_codex":[0.9983657,0.0001170052,0.0005366912,0.0004971172,0.0002551353,0.0002283756],"domain_scores_gemma":[0.9991624,0.000237256,0.0001377863,0.0002260784,0.0001055712,0.0001308795],"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":[0.00007053706,0.0001343026,0.007193611,0.00006631254,0.0003529064,0.000005595179,0.001394487,0.9900198,0.0001666304,0.00005364149,0.000002323366,0.0005398713],"study_design_scores_gemma":[0.0008738747,0.000673471,0.02688606,0.00004101104,0.0007497888,0.000007614822,0.0003201733,0.9701052,0.000006390039,0.00002115841,1.775047e-7,0.0003150524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5176229,0.000181942,0.4816792,0.00003609871,0.00006301923,0.0003256652,0.00001162003,0.00005782222,0.00002176993],"genre_scores_gemma":[0.9323739,0.000558845,0.0668185,0.000005431647,0.00002404325,0.0000216339,0.0001152322,0.00004070098,0.00004168517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4148607,"threshold_uncertainty_score":0.9999159,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2319273161","doi":"10.2514/6.2002-5595","title":"Optimization Using Variable Fidelity Solvers: Exploration of an Approximation Management Framework for Aerodynamic Shape Optimization","year":2002,"lang":"en","type":"article","venue":"9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Aerodynamics; Computer science; Variable (mathematics); Fidelity; High fidelity; Mathematical optimization; Aerospace engineering; Engineering; Mathematics","authors":[{"name":"Xavier Marduel","is_ca":true},{"name":"Christophe Tribes","is_ca":true},{"name":"Jean‐Yves Trépanier","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02165470811791628,"gpt":0.2732146488737737,"spread":0.2515599407558574,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003715827,0.0004189135,0.0006286926,0.0008807728,0.000379388,0.000118371,0.0002029421,0.000269885,0.0002039969],"category_scores_gemma":[0.00004370355,0.0004408492,0.0002132861,0.002279192,0.00006945893,0.001934043,0.00006808761,0.0001591217,9.555879e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002073715,"about_ca_system_score_gemma":0.000006690827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000107086,"about_ca_topic_score_gemma":0.000003477695,"domain_scores_codex":[0.9975246,0.0001223656,0.0009407214,0.0006972405,0.0003758626,0.0003391808],"domain_scores_gemma":[0.9984633,0.000115902,0.0004307034,0.0005541674,0.0002966582,0.0001393221],"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":[0.00007046466,0.0002766285,0.0001094431,0.0001929964,0.0004222007,7.212736e-7,0.0002996635,0.9960124,0.0003118241,0.0007386697,0.000004882503,0.001560053],"study_design_scores_gemma":[0.0004529055,0.0001937934,0.00004603585,0.0000982616,0.001395615,6.250756e-7,0.0002236977,0.9959587,0.0004990072,0.0006804005,0.000004178562,0.0004467707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004406328,0.00007200284,0.9938673,0.00006261439,0.00009550573,0.0008846232,0.00004822724,0.0003707785,0.0001926456],"genre_scores_gemma":[0.1720959,0.0008378895,0.8255935,0.000016395,0.00005112307,0.0001438074,0.001166554,0.00006515623,0.00002973695],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1682738,"threshold_uncertainty_score":0.9998043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2317622940","doi":"10.2514/6.2002-5624","title":"Designing and Optimizing Missiles in an Interactive Environment","year":2002,"lang":"en","type":"article","venue":"9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization","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":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Human–computer interaction","authors":[{"name":"Alexandra Ahlqvist","is_ca":false},{"name":"Jamal Nayfeh","is_ca":false},{"name":"Richard Zarda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009532920055399938,"gpt":0.2188528044326598,"spread":0.2093198843772599,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001123021,0.0002251356,0.0003025154,0.0005353197,0.000165483,0.00007118309,0.00008028137,0.0001426801,0.0001148102],"category_scores_gemma":[0.000006351752,0.0002258673,0.00005248925,0.0004291962,0.00005645567,0.0004460035,0.00005328101,0.0001847052,0.000005444442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007033256,"about_ca_system_score_gemma":0.000001874206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000727311,"about_ca_topic_score_gemma":0.00001465243,"domain_scores_codex":[0.9989241,0.0000592526,0.0002929851,0.0003894121,0.000112506,0.0002217858],"domain_scores_gemma":[0.9995429,0.00005763127,0.00007675459,0.0002077437,0.00001596788,0.00009902951],"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":[0.00001460717,0.00008273949,0.01359265,0.00001417007,0.00008941902,0.000006958344,0.001670015,0.9795989,0.003346476,0.00002081555,0.000007396411,0.001555836],"study_design_scores_gemma":[0.0003981501,0.0001384626,0.004234208,0.00003172282,0.0001572007,0.000001777095,0.0008700409,0.9902662,0.003623593,0.00001432655,0.00001105536,0.0002532636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.428367,0.0004380649,0.569778,0.0004281517,0.00006193498,0.0002617505,0.000009179382,0.0002282602,0.00042767],"genre_scores_gemma":[0.9416351,0.00199455,0.05611607,0.0000177407,0.00002123685,0.0000301724,0.00005584097,0.00002718449,0.000102048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5136619,"threshold_uncertainty_score":0.9210602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2320453204","doi":"10.2514/6.2002-5400","title":"Constraints Specifications on NURBS Surfaces for Wing Geometric Representation","year":2002,"lang":"en","type":"article","venue":"9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization","topic":"Manufacturing Process and Optimization","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":"Polytechnique Montréal","funders":"","keywords":"Representation (politics); Wing; Computer science; Computational geometry; Computer graphics (images); Geometric modeling; Engineering drawing; Artificial intelligence; Geometry; Mathematics; Engineering; Structural engineering","authors":[{"name":"François Guibault","is_ca":true},{"name":"Anas Bentamy","is_ca":true},{"name":"Jean‐Yves Trépanier","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03235669986547847,"gpt":0.2550808575944513,"spread":0.2227241577289729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001997479,0.0003061942,0.0003717483,0.00105922,0.0004841972,0.0001856764,0.0001398057,0.0001474508,0.0004180861],"category_scores_gemma":[0.00005186018,0.0003011106,0.0001719739,0.001641721,0.00007274221,0.0003517873,0.00002524353,0.0001391781,0.00001563498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008081557,"about_ca_system_score_gemma":0.000005679998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006584801,"about_ca_topic_score_gemma":0.000006366242,"domain_scores_codex":[0.9983279,0.00004854611,0.0004948474,0.0005604365,0.0002672162,0.0003010831],"domain_scores_gemma":[0.9989671,0.0002468424,0.0001602562,0.0003598949,0.0001319674,0.0001339014],"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":[0.00002906285,0.0001215265,0.001863375,0.00007159427,0.000231649,0.000001125976,0.000396249,0.9940708,0.0001499348,0.000148171,0.00019734,0.002719219],"study_design_scores_gemma":[0.0005757025,0.0001246513,0.006379529,0.0000419203,0.0003946396,0.000001005198,0.000150537,0.9893327,0.002529989,0.00002284801,0.0001060706,0.0003403995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04543514,0.0002288284,0.9479689,0.0004960275,0.0003156724,0.0007080273,0.00009136124,0.0003433922,0.004412629],"genre_scores_gemma":[0.9668288,0.001739743,0.02980278,0.00002702762,0.0001031681,0.0001022186,0.0005878545,0.00005146265,0.000756926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9213937,"threshold_uncertainty_score":0.9999441,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}