{"meta":{"query_hash":"5b4ddb7eee9e","filters":{"venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference"},"cohort_total":12,"direct_labels_cover":0,"predictions_cover":12,"exported":12,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/5b4ddb7eee9e","api":"https://metacan.xera.ac/api/v1/cohort?venue=11th+AIAA%2FISSMO+Multidisciplinary+Analysis+and+Optimization+Conference"},"results":[{"id":"W2100893205","doi":"10.2514/6.2006-7082","title":"Object-Centered Engineering: A Methodology for Virtual Engineering","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Engineering drawing; Software engineering; Systems engineering; Engineering","score_opus":0.030766712073227082,"score_gpt":0.2703432009404518,"score_spread":0.23957648886722469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100893205","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045303944,0.000110627196,0.9938611,0.00018904709,0.00016512789,0.00035064598,0.000025266758,0.000749678,0.000018147486],"genre_scores_gemma":[0.3276616,0.00003668981,0.67193264,0.000010927239,0.00005020122,0.00010400709,0.00009619881,0.000021436123,0.00008629397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784195,0.000072932075,0.0005527473,0.00079297344,0.00022464897,0.0005147424],"domain_scores_gemma":[0.9984381,0.0003133547,0.00017872138,0.0006056575,0.00029575432,0.00016840384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058578904,0.00037493047,0.0005948481,0.0007362377,0.0001678574,0.00023688946,0.0005938286,0.00018231546,0.000017542949],"category_scores_gemma":[0.000066616914,0.00038522322,0.00023129591,0.0011333735,0.000039268343,0.00056816515,0.0003446306,0.00017437173,0.0000012618402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000118477465,0.00005507406,0.001099724,0.000030284733,0.00015502526,0.000004484196,0.00021068391,0.9340272,0.0006767247,0.061602615,0.000027916236,0.002098438],"study_design_scores_gemma":[0.0003943298,0.00012203933,0.0033207443,0.000028988134,0.00018042742,0.000007635744,0.0000067004194,0.99347186,0.0013451404,0.00016049053,0.00053370674,0.00042792814],"about_ca_topic_score_codex":0.000048838516,"about_ca_topic_score_gemma":0.00001623003,"teacher_disagreement_score":0.3231312,"about_ca_system_score_codex":0.00006671179,"about_ca_system_score_gemma":0.00006146992,"threshold_uncertainty_score":0.99986},"labels":[],"label_agreement":null},{"id":"W2135491697","doi":"10.2514/6.2006-7048","title":"Comparison of Three Surrogate Modeling Techniques: Datascape, Kriging, and Second Order Regression","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Kriging; Surrogate model; Robustness (evolution); Computer science; Data mining; Mathematical optimization; Algorithm; Machine learning; Mathematics","score_opus":0.02758020689390097,"score_gpt":0.31733893492933113,"score_spread":0.2897587280354302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135491697","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01145481,0.00040082063,0.9869041,0.00012987899,0.0000518776,0.00033646435,0.00004448975,0.0001696807,0.00050786365],"genre_scores_gemma":[0.46778,0.00015446407,0.53171366,0.000009826011,0.000017240738,0.000018382028,0.00019215606,0.000013738773,0.00010051558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973378,0.00012962935,0.0008481875,0.000969132,0.00038095994,0.00033424396],"domain_scores_gemma":[0.99754274,0.00013294212,0.00059375056,0.0007052386,0.000880346,0.00014500857],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038187933,0.00038156367,0.0007448687,0.0006686863,0.0004594571,0.000241121,0.0004908387,0.00015986255,0.00010197098],"category_scores_gemma":[0.0000622342,0.0003419912,0.00009796484,0.0019447011,0.00018770482,0.0014374327,0.0006247094,0.0002212277,0.0000011304414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020076179,0.00015982606,0.019448236,0.000037144382,0.00009620377,0.000003590626,0.0003648755,0.97199684,0.00023986513,0.002174759,0.000014585769,0.0054440224],"study_design_scores_gemma":[0.0004977391,0.0000709353,0.0022189417,0.00006992851,0.00017169329,0.0000052441424,0.00018355086,0.99433154,0.0013745831,0.000659869,0.000025911775,0.00039009153],"about_ca_topic_score_codex":0.00013033314,"about_ca_topic_score_gemma":0.00036843342,"teacher_disagreement_score":0.45632517,"about_ca_system_score_codex":0.000031441145,"about_ca_system_score_gemma":0.000089087785,"threshold_uncertainty_score":0.9999032},"labels":[],"label_agreement":null},{"id":"W2151789078","doi":"10.2514/6.2006-6954","title":"Graph Based Evolutionary Algorithms for Heat Exchanger Fin Shape Optimization","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Fin; Heat exchanger; Mathematical optimization; Algorithm; Mathematics; Mechanical engineering; Engineering","score_opus":0.018375597140046936,"score_gpt":0.24601523686947588,"score_spread":0.22763963972942894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151789078","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035816652,0.00061818695,0.9935508,0.00033418727,0.00016064444,0.0006460012,0.00024044878,0.0003858242,0.0004822686],"genre_scores_gemma":[0.6215567,0.00062759203,0.37312043,0.00004388503,0.00014171562,0.00022883693,0.004096297,0.0000654226,0.00011912981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784213,0.00008049454,0.0006714789,0.00063301175,0.00030139016,0.00047151704],"domain_scores_gemma":[0.9988235,0.00014968713,0.0000567296,0.0003385814,0.00045085882,0.00018062785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024899535,0.00043933146,0.00053917366,0.0007785694,0.00048765898,0.0001850122,0.00018406946,0.0002599913,0.00072342623],"category_scores_gemma":[0.000022708382,0.00045283433,0.00027351914,0.00161041,0.00008847852,0.0005903197,0.00003545443,0.0001499796,0.0000030945373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043578206,0.00010650193,0.0019144765,0.00009472151,0.00016431832,0.000002171909,0.00012304084,0.9960674,0.00009129665,0.00025480255,0.00017542002,0.00096229074],"study_design_scores_gemma":[0.0010473267,0.00007933588,0.0038477967,0.000039468057,0.0006412353,0.0000020002713,0.00006909924,0.9932783,0.00026195592,0.00010313833,0.000085752035,0.00054453954],"about_ca_topic_score_codex":0.000069917936,"about_ca_topic_score_gemma":0.0000906802,"teacher_disagreement_score":0.62043035,"about_ca_system_score_codex":0.00008049632,"about_ca_system_score_gemma":0.00007030809,"threshold_uncertainty_score":0.99979234},"labels":[],"label_agreement":null},{"id":"W2313109259","doi":"10.2514/6.2006-6984","title":"Multidisciplinary Design Optimization of a Zero Emission Vehicle Chassis Considering Crashworthiness and Hydroformability","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"AUTO21 Network of Centres of Excellence; Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Crashworthiness; Chassis; Automotive engineering; Zero emission; Multidisciplinary approach; Multidisciplinary design optimization; Vehicle safety; Automotive industry; Computer science; Engineering; Aerospace engineering; Structural engineering; Electrical engineering; Finite element method","score_opus":0.021394074512478222,"score_gpt":0.2584047478668424,"score_spread":0.2370106733543642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313109259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08621692,0.00022923407,0.9125241,0.000069320835,0.000032231306,0.00028584574,0.000017102806,0.00019465259,0.00043059228],"genre_scores_gemma":[0.851226,0.00030960536,0.1480752,0.0000014354275,0.000017480275,0.000035306908,0.000088232424,0.00003675375,0.0002100068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831784,0.000097594224,0.00060384994,0.00042681806,0.00025858518,0.00029531092],"domain_scores_gemma":[0.998983,0.00019636287,0.00011732381,0.00033279418,0.00019124174,0.00017922836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040110768,0.00028226682,0.0004857425,0.0004668455,0.00025722542,0.000098385965,0.00012926763,0.00017025784,0.000189949],"category_scores_gemma":[0.00008785074,0.00026531518,0.00009172735,0.0010702298,0.00013152426,0.00037973016,0.00015373308,0.00017467847,0.0000012035824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026874284,0.00007595984,0.0053520463,0.00012621439,0.00011051814,0.00000250668,0.0001634961,0.9902346,0.0027123457,0.00018069566,0.000012681355,0.0010020586],"study_design_scores_gemma":[0.00046282753,0.000057006342,0.0057707652,0.00006232761,0.0001822148,0.0000029870841,0.00008383735,0.98968613,0.0032551917,0.00014769105,0.0000037199445,0.00028529362],"about_ca_topic_score_codex":0.00006449382,"about_ca_topic_score_gemma":0.000017414392,"teacher_disagreement_score":0.76500905,"about_ca_system_score_codex":0.00003321342,"about_ca_system_score_gemma":0.00003736045,"threshold_uncertainty_score":0.9999799},"labels":[],"label_agreement":null},{"id":"W2313498152","doi":"10.2514/6.2006-7065","title":"Distributed Optimizations Using Optimal Solution Sensitivity","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Computer science; Sensitivity (control systems); Distributed computing; Parallel computing; Engineering; Electronic engineering","score_opus":0.009493893685402164,"score_gpt":0.22544196927491716,"score_spread":0.215948075589515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313498152","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089785814,0.00014495366,0.90899146,0.00013619848,0.000083426465,0.00019199707,0.00019806222,0.00023770347,0.00023039537],"genre_scores_gemma":[0.9149975,0.00012663093,0.08355633,0.0000068002714,0.000066107576,0.000016835365,0.0011324018,0.000029227887,0.000068148496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845356,0.00008389357,0.00044403216,0.00042655726,0.0002121829,0.0003797603],"domain_scores_gemma":[0.99908555,0.000073158,0.00012192658,0.00030253897,0.0002819204,0.00013491545],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021165784,0.0003187465,0.00044986836,0.0003722238,0.00045334725,0.00022951479,0.00009651681,0.00016071282,0.000097833996],"category_scores_gemma":[0.000021796866,0.0003349592,0.00016988671,0.0012222062,0.000101211415,0.00043145614,0.000085759115,0.00016188514,0.0000026020193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000141690625,0.000056239656,0.006062215,0.000013686399,0.00023031664,0.000008694559,0.0000627363,0.9912044,0.0017079691,0.0004330638,0.000018559198,0.00018799014],"study_design_scores_gemma":[0.0005335755,0.000017693532,0.011009231,0.000016479946,0.00073533127,0.0000078679595,0.00009876435,0.987015,0.000115052826,0.000043284417,0.000015785732,0.0003919004],"about_ca_topic_score_codex":0.00026226914,"about_ca_topic_score_gemma":0.00038002623,"teacher_disagreement_score":0.8254351,"about_ca_system_score_codex":0.00009620505,"about_ca_system_score_gemma":0.000043360968,"threshold_uncertainty_score":0.99991024},"labels":[],"label_agreement":null},{"id":"W2313575506","doi":"10.2514/6.2006-6957","title":"Robust Structural Optimization Employing Load Sensitivity Genes and Virtual Immunization","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sensitivity (control systems); Computer science; Immunization; Biology; Engineering; Genetics; Immune system; Electronic engineering","score_opus":0.011638409662604309,"score_gpt":0.21958039760036763,"score_spread":0.2079419879377633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313575506","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13470021,0.000523761,0.8636929,0.00006891758,0.00016359212,0.0002026116,0.00003423942,0.0004098291,0.00020395286],"genre_scores_gemma":[0.8316049,0.00070677657,0.16691819,0.000007850949,0.00007760676,0.000017709743,0.0005137455,0.000049301092,0.00010390733],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812186,0.0001177509,0.0005862081,0.0005399637,0.00026748696,0.0003667532],"domain_scores_gemma":[0.9988841,0.0001276515,0.00015232638,0.00032417744,0.00038146938,0.00013031925],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027626642,0.00041930802,0.0005036665,0.0005102619,0.0004986522,0.00025633097,0.00011414479,0.00023728471,0.00014814017],"category_scores_gemma":[0.00005383656,0.0004520711,0.00008843159,0.0011623923,0.00018400601,0.00083325704,0.0001407329,0.00020942552,0.0000016737623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013006328,0.000015754977,0.015837165,0.00003200525,0.00018655423,0.00000547773,0.0002901125,0.981797,0.00054086186,0.00052000507,0.0000066112766,0.00075547403],"study_design_scores_gemma":[0.0004589024,0.00002693007,0.018693833,0.000024116729,0.0003818291,0.000018347893,0.00021446725,0.9792959,0.00036706025,0.000024956546,0.000006129738,0.00048751128],"about_ca_topic_score_codex":0.00012602784,"about_ca_topic_score_gemma":0.00018084778,"teacher_disagreement_score":0.6969047,"about_ca_system_score_codex":0.000102549515,"about_ca_system_score_gemma":0.000041554285,"threshold_uncertainty_score":0.9997931},"labels":[],"label_agreement":null},{"id":"W2315532451","doi":"10.2514/6.2006-6930","title":"Optimal Design for Uncertain Load Cases Using Convex Hulls","year":2006,"lang":"en","type":"article","venue":"11th 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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Hull; Convex hull; Computer science; Regular polygon; Mathematical optimization; Mathematics; Engineering; Marine engineering; Geometry","score_opus":0.04647131534114375,"score_gpt":0.31098976970359415,"score_spread":0.2645184543624504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315532451","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022515478,0.00024947865,0.9958451,0.00029129596,0.0001359797,0.0008412089,0.000058579637,0.00021570931,0.00011110731],"genre_scores_gemma":[0.20203494,0.00009096597,0.7970811,0.000053911324,0.00007038765,0.00008734507,0.00013505878,0.000028663004,0.00041761014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99666864,0.00023764967,0.0007705898,0.0012627852,0.00047146215,0.0005888912],"domain_scores_gemma":[0.99632645,0.0007888281,0.00052997505,0.00068009866,0.0014547233,0.00021991618],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059659476,0.00049419183,0.00072188285,0.00057302136,0.0008856063,0.0005317908,0.0005975484,0.00018427406,0.00008184466],"category_scores_gemma":[0.00027833326,0.0004852774,0.00024869174,0.002064664,0.00022455586,0.0014657596,0.00034370154,0.00015978303,0.0000036756862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060202256,0.00015488052,0.00085326674,0.000018756402,0.00017270794,0.000024533927,0.00033374768,0.99479026,0.00019769982,0.002247599,0.000030084724,0.0011162849],"study_design_scores_gemma":[0.0011379789,0.000162679,0.00061887706,0.000028181728,0.00038566467,0.000031278483,0.000200322,0.99536383,0.0010052688,0.00039711478,0.00004918978,0.00061958976],"about_ca_topic_score_codex":0.00021664516,"about_ca_topic_score_gemma":0.000051783212,"teacher_disagreement_score":0.19978338,"about_ca_system_score_codex":0.00020589738,"about_ca_system_score_gemma":0.00039517562,"threshold_uncertainty_score":0.9997599},"labels":[],"label_agreement":null},{"id":"W2317840886","doi":"10.2514/6.2006-7080","title":"On the Common Structure of MDO Problems: A Comparison of Architectures","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.03915755282704465,"score_gpt":0.34940074383311526,"score_spread":0.3102431910060706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317840886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25765678,0.00011164035,0.7406907,0.00032955047,0.000018581259,0.0005205631,0.00011590439,0.000036514695,0.0005197558],"genre_scores_gemma":[0.8758191,0.000034178007,0.12382093,0.000007892423,0.000016385526,0.000014863862,0.000117562515,0.000020207903,0.00014890142],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976419,0.00027771355,0.0008738293,0.00039168895,0.0005661505,0.00024868123],"domain_scores_gemma":[0.9970054,0.0010888156,0.0007234424,0.00056329084,0.00054787664,0.00007119564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027689146,0.00026823764,0.00074086565,0.00046908567,0.0002756259,0.000052977164,0.0003473537,0.00012300022,0.0004445288],"category_scores_gemma":[0.0002816663,0.00018310307,0.00016386001,0.0014040275,0.0003642744,0.000092669114,0.00018082696,0.0002825662,5.2585136e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006618179,0.00027636669,0.009754914,0.000104801205,0.00020937175,6.264979e-7,0.0009044072,0.9660866,0.00046828887,0.021497218,0.000038453712,0.000592727],"study_design_scores_gemma":[0.00039826788,0.0001462747,0.003831794,0.00007572749,0.0003019949,0.0000011234696,0.00045042316,0.960257,0.004537226,0.029805424,0.0000041948692,0.00019055631],"about_ca_topic_score_codex":0.00009224295,"about_ca_topic_score_gemma":0.00037164227,"teacher_disagreement_score":0.6181623,"about_ca_system_score_codex":0.000024602146,"about_ca_system_score_gemma":0.00005766321,"threshold_uncertainty_score":0.74667263},"labels":[],"label_agreement":null},{"id":"W2318353342","doi":"10.2514/6.2006-6933","title":"Global- and Local-Shape Aerodynamic Optimization of Turbine Blades","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada); Concordia University","funders":"","keywords":"Aerodynamics; Turbine blade; Turbine; Computer science; Aerospace engineering; Mechanical engineering; Engineering","score_opus":0.0061772465205667555,"score_gpt":0.23588976748765317,"score_spread":0.22971252096708641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318353342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050310973,0.00064327754,0.9479568,0.000076830445,0.00001881675,0.00016218203,0.00004907818,0.00025399562,0.0005280623],"genre_scores_gemma":[0.80978864,0.0011181511,0.18868624,0.000006861795,0.000016913338,0.000017063583,0.00030023162,0.000019262521,0.00004664452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836385,0.000055502576,0.00063513394,0.00045783466,0.00022924431,0.0002584529],"domain_scores_gemma":[0.99906284,0.00006553843,0.00019688054,0.00030035796,0.0002592783,0.00011508196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001297512,0.00032206756,0.0006302415,0.00034904818,0.00014429766,0.00007103354,0.00015269408,0.00014549773,0.0001588934],"category_scores_gemma":[0.000024262521,0.00030437627,0.00013304623,0.001848337,0.00025077222,0.00040986223,0.0001173455,0.00010414658,7.909559e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015469288,0.000054705903,0.010506351,0.000053512686,0.00020865463,0.0000022432173,0.000037426325,0.9849873,0.00021306226,0.00042802407,0.0000108373215,0.0034823793],"study_design_scores_gemma":[0.00025375086,0.000049105296,0.017146882,0.000031156604,0.0006402544,0.0000028386157,0.00008969948,0.9807104,0.00031573186,0.00043289256,0.000008195608,0.00031908788],"about_ca_topic_score_codex":0.00013362021,"about_ca_topic_score_gemma":0.00019586566,"teacher_disagreement_score":0.7594777,"about_ca_system_score_codex":0.00006169913,"about_ca_system_score_gemma":0.000016583737,"threshold_uncertainty_score":0.9999408},"labels":[],"label_agreement":null},{"id":"W2323697812","doi":"10.2514/6.2006-6917","title":"Optimization of a Planar Self-Breathing PEM Fuel Cell Cathode","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Research Chairs","keywords":"Proton exchange membrane fuel cell; Cathode; Planar; Fuel cells; Materials science; Nuclear engineering; Computer science; Electrical engineering; Engineering; Chemical engineering","score_opus":0.0070149722931219976,"score_gpt":0.20546179746682305,"score_spread":0.19844682517370105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323697812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033377178,0.0029773172,0.94795495,0.00006585242,0.0002141321,0.0003416653,0.00010095026,0.00039720198,0.014570735],"genre_scores_gemma":[0.7873138,0.004545472,0.20737623,0.0000046634536,0.000049838545,0.000014434475,0.00045048355,0.000034962268,0.00021009179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839693,0.00007462379,0.0006547804,0.0003794352,0.00021355625,0.0002806883],"domain_scores_gemma":[0.9991241,0.00006691649,0.00021511553,0.00029255456,0.00020114529,0.00010017078],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022741775,0.00030505328,0.00054191303,0.0004038261,0.00016868798,0.000120583245,0.00016045119,0.0002242526,0.0002430015],"category_scores_gemma":[0.000008318201,0.00028303557,0.00012746085,0.00079517526,0.000058736015,0.00031247298,0.000057465157,0.00013613833,0.0000036701858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015461079,0.0000996525,0.0012665835,0.00055669126,0.00017887943,0.0000081460375,0.0006762876,0.99634767,0.00069787074,0.00009271532,0.000029717015,0.000030325205],"study_design_scores_gemma":[0.00046695975,0.00004001519,0.0007175736,0.000042254975,0.00076217315,0.0000043041987,0.0001716972,0.9960223,0.0013205743,0.000083850166,0.00003806304,0.00033023374],"about_ca_topic_score_codex":0.00014861567,"about_ca_topic_score_gemma":0.00002748554,"teacher_disagreement_score":0.75393665,"about_ca_system_score_codex":0.00003725412,"about_ca_system_score_gemma":0.00003486001,"threshold_uncertainty_score":0.99996215},"labels":[],"label_agreement":null},{"id":"W2326423117","doi":"10.2514/6.2006-6983","title":"Design Optimization of an Automotive Universal Joint as an Assembly","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive industry; Joint (building); Computer science; Automotive engineering; Manufacturing engineering; Engineering; Structural engineering; Aerospace engineering","score_opus":0.01654025632004001,"score_gpt":0.23869445761504485,"score_spread":0.22215420129500485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326423117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06616477,0.00006462064,0.93224317,0.000036548838,0.00005880211,0.0002678767,0.000022320783,0.00026850816,0.0008733679],"genre_scores_gemma":[0.7477623,0.00020305284,0.2511994,0.000006750489,0.000034821456,0.000013874751,0.0006436067,0.000033921853,0.0001022184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815404,0.00015228518,0.0005848634,0.00052431726,0.00029407963,0.00029042817],"domain_scores_gemma":[0.99863064,0.000050758797,0.00024890926,0.00036953264,0.00052527717,0.00017490824],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003002441,0.000345601,0.00050805946,0.0006205532,0.00025797816,0.00018086727,0.00020803537,0.00019477548,0.0003395854],"category_scores_gemma":[0.000025599784,0.00034979117,0.000097908545,0.00095132156,0.00009536656,0.0012944357,0.00006287564,0.00014210622,0.000001884843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040285802,0.00014306164,0.00032233447,0.000045343168,0.00014809525,0.0000049979976,0.0006514687,0.99740905,0.00016680159,0.0003568713,0.000005907584,0.0007057892],"study_design_scores_gemma":[0.00050608086,0.00020475677,0.0037847552,0.000029352332,0.00048073038,0.0000032022444,0.0003614377,0.9884577,0.005607573,0.00016090121,0.0000030495646,0.00040047997],"about_ca_topic_score_codex":0.00023210878,"about_ca_topic_score_gemma":0.00007674584,"teacher_disagreement_score":0.6815976,"about_ca_system_score_codex":0.000057650457,"about_ca_system_score_gemma":0.00007372474,"threshold_uncertainty_score":0.9998954},"labels":[],"label_agreement":null},{"id":"W2327067430","doi":"10.2514/6.2006-6904","title":"Shape optimization of an Un-cemented Total Hip Replacement Prosthesis Considering Volumetric Wear","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Femoral head; Prosthesis; Femoral canal; Reamer; Materials science; Femur; Acetabulum; Medicine; Surgery; Biomedical engineering","score_opus":0.016262263981998235,"score_gpt":0.2604181105251164,"score_spread":0.24415584654311814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327067430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6812157,0.00014422799,0.31733543,0.00019932991,0.00005342265,0.0005062852,0.000051998795,0.000073931005,0.00041965363],"genre_scores_gemma":[0.8939095,0.00021376794,0.10456621,0.000027799106,0.000058364916,0.000024839692,0.0007898902,0.000024368088,0.00038523434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764955,0.000118913864,0.00082411803,0.00063203374,0.00045096947,0.00032441516],"domain_scores_gemma":[0.99843967,0.00007804279,0.00044791782,0.0004067386,0.00042413909,0.00020347134],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037250292,0.00030432374,0.0006669459,0.00076042814,0.00032687307,0.0000887379,0.00007948274,0.00013253164,0.00220815],"category_scores_gemma":[0.000086049164,0.00027039964,0.0001677276,0.001469115,0.00016555337,0.00038348683,0.00011609681,0.00013745492,0.0000026189668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041040903,0.0006614465,0.14163007,0.000092856026,0.00047394974,0.000025377407,0.00028448348,0.84697145,0.0004109512,0.000117349686,0.000014522503,0.008907102],"study_design_scores_gemma":[0.0018216162,0.0005295107,0.07429452,0.000070906346,0.0012520837,0.000040319846,0.00046617433,0.9203431,0.00089016487,0.000008274093,0.000017295815,0.00026605278],"about_ca_topic_score_codex":0.0001480422,"about_ca_topic_score_gemma":0.000032280466,"teacher_disagreement_score":0.21276923,"about_ca_system_score_codex":0.000040391555,"about_ca_system_score_gemma":0.00011156932,"threshold_uncertainty_score":0.99997485},"labels":[],"label_agreement":null}]}