{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":66,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":66,"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":"72cf8bb94741","filters":{"venue":"AIAA Scitech 2020 Forum"}},"results":[{"id":"W2997531993","doi":"10.2514/6.2020-1600","title":"On Deep Reinforcement Learning for Spacecraft Guidance","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Reinforcement learning; Computer science; Spacecraft; Artificial intelligence; Deep learning; Controller (irrigation); Control engineering; Simulation; Engineering; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007271571217677717,"gpt":0.2049552903840874,"spread":0.1976837191664097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001143898,0.0002070458,0.0002379775,0.00004059022,0.0001066066,0.00006104689,0.0001844857,0.00008955192,0.00008982523],"category_scores_gemma":[0.00009730819,0.0002012062,0.0001270658,0.0002223518,0.00001390996,0.00009933885,0.0000330205,0.0002013176,0.0002686265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005657027,"about_ca_system_score_gemma":0.00001125595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007974526,"about_ca_topic_score_gemma":0.00001322107,"domain_scores_codex":[0.9988127,0.00001210597,0.0002482896,0.0002546994,0.0002046646,0.0004675332],"domain_scores_gemma":[0.9994973,0.00006647401,0.00004637679,0.0001890265,0.00003977868,0.0001610573],"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":[0.0001088725,0.00000739956,0.0004884502,0.0002485107,0.0001325621,0.00001301017,0.0006206544,0.8991299,0.01951391,0.007815404,0.04820641,0.02371493],"study_design_scores_gemma":[0.000753865,0.0003482176,0.00004276481,0.00005210754,0.00001296633,0.000001572971,0.0002882655,0.6289088,0.003984427,0.0002730014,0.3650554,0.000278568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00486561,0.001966588,0.962396,0.011168,0.0008795607,0.001364372,0.000006179373,0.001292108,0.01606159],"genre_scores_gemma":[0.996312,0.0000482097,0.0008747503,0.001205061,0.0002732835,0.0001376623,0.00001268737,0.00006241065,0.00107397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9914464,"threshold_uncertainty_score":0.8204952,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998676654","doi":"10.2514/6.2020-2078","title":"Lyapunov Vector Fields for Thrust-Limited Spacecraft Docking with an Elliptically-Orbiting Uncooperative Tumbling Target","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Thrust; Spacecraft; Control theory (sociology); Lyapunov function; Vector field; Acceleration; Aerospace engineering; Physics; Computer science; Engineering; Classical mechanics; Nonlinear system; Mechanics","retraction":null,"screen_n_in":null,"score":{"opus":0.008933986530701592,"gpt":0.2117291729525463,"spread":0.2027951864218447,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000170301,0.0003856636,0.0004290688,0.00007856751,0.0002441382,0.0002309157,0.0003171878,0.0001900082,0.00009741891],"category_scores_gemma":[0.0001295884,0.0003486899,0.0001209282,0.0005709019,0.00004604073,0.000365714,0.00006723315,0.0004497355,0.00001991863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000709075,"about_ca_system_score_gemma":0.00006086192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001826304,"about_ca_topic_score_gemma":0.0001360394,"domain_scores_codex":[0.9980392,0.0000251116,0.0003635258,0.000509615,0.0002718346,0.0007907045],"domain_scores_gemma":[0.9989962,0.0001582302,0.00006814233,0.0002905025,0.0001585943,0.0003283078],"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":[0.001327773,0.000214026,0.009417422,0.0007339015,0.00134101,0.0003048548,0.007182681,0.7495931,0.1849,0.01741774,0.009674127,0.01789325],"study_design_scores_gemma":[0.001179493,0.0006673975,0.00008308142,0.00007396023,0.00004832093,0.000007922766,0.0009863233,0.9857969,0.003966833,0.0003303581,0.006327401,0.0005319683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08402435,0.0002806763,0.9016021,0.01013953,0.0003444086,0.001024508,0.0000812893,0.0009808338,0.001522227],"genre_scores_gemma":[0.9724154,0.00002131366,0.02519844,0.001543455,0.0004416362,0.0001319812,0.00006727591,0.0001260792,0.00005438007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8883911,"threshold_uncertainty_score":0.9998965,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998525110","doi":"10.2514/6.2020-0681","title":"Comparison of Surrogate Modeling Methods for Finite Element Analysis of Landing Gear Loads","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Finite element method; Computer science; Landing gear; Structural engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.08137828210158961,"gpt":0.4017100227383943,"spread":0.3203317406368048,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004299528,0.000114277,0.0004622151,0.0002198552,0.00003793612,0.00001624492,0.0002051974,0.00007042217,0.00005850647],"category_scores_gemma":[0.0002399399,0.0001134743,0.0001939168,0.001304559,0.00001164985,0.00006173467,0.00006341255,0.0001474866,0.000002516967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002194108,"about_ca_system_score_gemma":0.000013343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001018681,"about_ca_topic_score_gemma":0.000005140415,"domain_scores_codex":[0.9988747,0.00003012662,0.0004710256,0.0001690113,0.0001854716,0.0002697129],"domain_scores_gemma":[0.9993183,0.0002569694,0.00004445794,0.000186624,0.00008209512,0.0001115243],"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":[0.00001420129,0.00001334429,0.0002249155,0.0001613636,0.0003859763,1.533776e-7,0.0001560313,0.9499831,0.0435977,0.0007258796,0.000156743,0.004580549],"study_design_scores_gemma":[0.0001908257,0.0001002661,0.000006384894,0.00001805493,0.0001487817,4.374276e-8,0.0001357767,0.9347576,0.06373587,0.00008897285,0.0007208131,0.00009660168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009418989,0.0002688638,0.9895235,0.000300782,0.00005499547,0.0001826604,0.00005663698,0.0001056808,0.00008784285],"genre_scores_gemma":[0.8931916,0.00003314721,0.1066363,0.00001611151,0.00002031961,0.00002487252,0.00004809569,0.00002067388,0.000008836286],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8837726,"threshold_uncertainty_score":0.4627349,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997410611","doi":"10.2514/6.2020-0471","title":"Navigation Design and Operations of MAVEN Aerobraking","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":10,"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":"Mars Exploration Program; Spacecraft; Exploration of Mars; Environmental science; Mars landing; Computer science; Aerospace engineering; Meteorology; Astrobiology; Engineering; Geography; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02053018485498067,"gpt":0.2305887220305372,"spread":0.2100585371755565,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008062133,0.00005671891,0.00007582379,0.00001556304,0.00009784928,0.00003950813,0.0000751291,0.00001548167,0.0000514239],"category_scores_gemma":[0.000004428739,0.00005338591,0.00001747472,0.0001889131,0.00003035334,0.0004097605,0.00002727863,0.00005285624,0.00004127884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002449551,"about_ca_system_score_gemma":0.00002298346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003871299,"about_ca_topic_score_gemma":0.00000227153,"domain_scores_codex":[0.9995369,0.00002002553,0.0001183042,0.0001313549,0.00008916369,0.0001043082],"domain_scores_gemma":[0.9998159,0.00001910527,0.00003281516,0.00006100931,0.00001848115,0.00005267419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001076619,0.0001510667,0.1321052,0.00008441158,0.0001591055,0.00001013502,0.008589908,0.1537239,0.4704168,0.1311626,0.02141877,0.08207043],"study_design_scores_gemma":[0.001000154,0.000615339,0.003995724,0.0001052078,0.00005991518,0.000004093066,0.003930494,0.8680325,0.0893339,0.0239451,0.008403597,0.0005739916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3057316,0.00004011418,0.6841419,0.009175702,0.00007034543,0.0003028493,0.00003486202,0.00003493131,0.0004677062],"genre_scores_gemma":[0.9919329,0.00000215455,0.007595079,0.0002072846,0.00006323412,0.000006491279,0.000173276,0.000003594799,0.00001604155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7143086,"threshold_uncertainty_score":0.2177014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997010138","doi":"10.2514/6.2020-1946","title":"Neuro-Evolutionary Control for Optimal Dynamic Soaring","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Robustness (evolution); Autopilot; Computer science; Trajectory; Control theory (sociology); Artificial neural network; Optimal control; Simple (philosophy); Wind power; Control engineering; Control (management); Artificial intelligence; Engineering; Mathematical optimization; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.004834924733051015,"gpt":0.1959833363274601,"spread":0.191148411594409,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003758706,0.0001491013,0.0001796908,0.00004642662,0.0001001025,0.00002288138,0.0002203364,0.0001285032,0.00003578313],"category_scores_gemma":[0.00007088811,0.0001647011,0.00009141217,0.0002458246,0.00003675502,0.0001550072,0.00005277257,0.0001969913,0.0001081439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004254263,"about_ca_system_score_gemma":0.00001515366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000140124,"about_ca_topic_score_gemma":0.000003967436,"domain_scores_codex":[0.9991126,0.000005532051,0.0001804369,0.0002273435,0.00009965656,0.000374447],"domain_scores_gemma":[0.9996436,0.00005569333,0.0000305069,0.0001503179,0.00003035744,0.00008958895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002228394,0.00007843135,0.008172425,0.0004077503,0.0003775068,0.00006510576,0.0004271585,0.296369,0.2527946,0.02321892,0.3783924,0.0394739],"study_design_scores_gemma":[0.0009733893,0.0001726984,0.0004942825,0.00000906818,0.00002267621,0.000007788031,0.0001373401,0.9396334,0.002624923,0.0009653649,0.05469954,0.0002595713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03859034,0.0005552716,0.9214649,0.03553628,0.0004859215,0.0006265145,0.0001120488,0.002243803,0.0003849385],"genre_scores_gemma":[0.9925192,0.0000316968,0.005568769,0.001540388,0.00008379709,0.00008501239,0.00002680482,0.00004641109,0.00009789305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9539289,"threshold_uncertainty_score":0.6716315,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997535962","doi":"10.2514/6.2020-1130","title":"Operations Analysis Integration for Effectiveness-Based Design in the AFRL EXPEDITE Program","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Technology Assessment and Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Systems engineering; Software engineering; Computer architecture; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0199521550894739,"gpt":0.2855408507150963,"spread":0.2655886956256224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002973648,0.0001224321,0.0001507678,0.0001611196,0.00008063543,0.00007716697,0.0002432729,0.00007726389,0.00001058743],"category_scores_gemma":[0.00004852139,0.00009589785,0.00009293661,0.001335041,0.00002393382,0.0001388604,0.00002161934,0.0001379124,0.000007203947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004130326,"about_ca_system_score_gemma":0.00001232737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005647342,"about_ca_topic_score_gemma":0.0001251823,"domain_scores_codex":[0.9992926,0.00005320048,0.0001540646,0.0001862236,0.0001058589,0.0002080501],"domain_scores_gemma":[0.9996379,0.0001205197,0.00001491917,0.0001773612,0.0000247811,0.00002449095],"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":[0.00008827054,0.0002387683,0.003819028,0.0001598155,0.0006119262,0.00001454414,0.0008666668,0.8526066,0.009011666,0.01288555,0.01887861,0.1008186],"study_design_scores_gemma":[0.0004786017,0.0002922399,0.001893506,0.00001222477,0.0001618168,1.393685e-7,0.0004740585,0.9825042,0.007147554,0.0004905237,0.006395895,0.0001492581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01076911,0.00006450062,0.9810742,0.005617754,0.0000881381,0.001699655,0.000008760196,0.0005595306,0.0001184225],"genre_scores_gemma":[0.9742324,0.000007074082,0.02294926,0.0003294232,0.00003277939,0.002340646,0.00008814738,0.00001448416,0.000005794706],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9634633,"threshold_uncertainty_score":0.3910601,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997032602","doi":"10.2514/6.2020-1391","title":"Lockheed Martin Conceptual Design Modeling in the Dassault Systemes 3DEXPERIENCE<sup>®</sup>Platform","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":8,"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":"Aerospace; Multidisciplinary design optimization; Systems engineering; Conceptual design; Multidisciplinary approach; Engineering; Aeronautics; Concurrent engineering; Computer science; Manufacturing engineering; Aerospace engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.106563366085147,"gpt":0.2648029457089036,"spread":0.1582395796237565,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006173374,0.0002483487,0.0003056026,0.00005898317,0.0001143673,0.0000966606,0.0006337898,0.0001453231,0.00002295462],"category_scores_gemma":[0.0001974135,0.0001954988,0.00008282698,0.0007680407,0.00005128456,0.0002011226,0.00007477198,0.0003324224,0.00006633247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006490927,"about_ca_system_score_gemma":0.00002302974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003780455,"about_ca_topic_score_gemma":0.000003726561,"domain_scores_codex":[0.998346,0.00007605681,0.0004751592,0.0003064457,0.0002840169,0.0005123678],"domain_scores_gemma":[0.999205,0.0002603465,0.00003786497,0.0003748102,0.00003421618,0.00008779663],"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":[0.000006984355,0.000006309505,0.0000897827,0.00005687122,0.00001725866,0.000007735613,0.005113659,0.9847878,0.002367583,0.001639851,0.004925423,0.0009808063],"study_design_scores_gemma":[0.0002272072,0.000044531,0.000008490058,0.00004950773,0.000008443378,0.00001358028,0.02151454,0.9706849,0.0009588174,0.0001649391,0.006087229,0.0002378479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1332499,0.0006767373,0.8619007,0.001895282,0.0001443462,0.0008103139,0.00001353001,0.0007154942,0.0005936846],"genre_scores_gemma":[0.9879537,0.00003528053,0.01108301,0.0003132429,0.0001687305,0.0003721043,0.000009518312,0.00004423687,0.00002021885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8547038,"threshold_uncertainty_score":0.7972211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997809692","doi":"10.2514/6.2020-2074","title":"Trajectory Tracking Control of Highly Maneuverable Fixed-Wing Unmanned Aerial Vehicles","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Trajectory; Control engineering; Thrust; Attitude control; Computer science; Engineering; Aerospace engineering; Control (management); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01263034928148852,"gpt":0.20438311758635,"spread":0.1917527683048615,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002262568,0.0002966043,0.0005903502,0.00008676534,0.00009679969,0.00005330006,0.000380805,0.0001698577,0.00005475747],"category_scores_gemma":[0.0001158593,0.000308842,0.0002039486,0.0003398711,0.00006062916,0.0003301827,0.00005258767,0.0003147014,0.00008424444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007324407,"about_ca_system_score_gemma":0.00004160139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002661826,"about_ca_topic_score_gemma":0.00002573339,"domain_scores_codex":[0.9980795,0.00006303603,0.0005766647,0.0003283182,0.0003505333,0.0006019719],"domain_scores_gemma":[0.9991821,0.000160932,0.0001167881,0.0002558095,0.00009042252,0.0001939574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003332304,0.00004449522,0.002279507,0.0003525062,0.0003909383,0.0001044855,0.0007158244,0.05201678,0.9266614,0.0006274214,0.009330702,0.007142729],"study_design_scores_gemma":[0.009383699,0.00086034,0.003320707,0.0003685301,0.0002157623,0.00003039808,0.001341095,0.6991525,0.1878855,0.0002081613,0.0957745,0.001458845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8122044,0.004637599,0.1638983,0.006832374,0.003181564,0.002002704,0.0003808298,0.002547177,0.004315035],"genre_scores_gemma":[0.997798,0.00001828064,0.0008350549,0.000411068,0.0007572974,0.0000232431,0.00001147235,0.00008811434,0.00005749139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7387759,"threshold_uncertainty_score":0.9999363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997566080","doi":"10.2514/6.2020-1128","title":"Multidisciplinary Design Optimization for Effectiveness-Based Design in the AFRL EXPEDITE Program","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Multidisciplinary design optimization; Multidisciplinary approach; Sizing; Systems engineering; Aerodynamics; Computer science; Electromagnetics; Design methods; Engineering; Aerospace engineering; Mechanical engineering; Electronic engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.07818720141692494,"gpt":0.3132000588849883,"spread":0.2350128574680633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006609235,0.0001636835,0.0001753061,0.00005383394,0.00007147314,0.00004548975,0.0002712432,0.00009319623,0.000008273992],"category_scores_gemma":[0.0001932682,0.000132421,0.00006234688,0.0005461305,0.00002197841,0.00006782722,0.00002320628,0.0001102323,0.000009716761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003532018,"about_ca_system_score_gemma":0.00001574813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001901563,"about_ca_topic_score_gemma":6.061111e-7,"domain_scores_codex":[0.9990538,0.0001493452,0.0001893872,0.0002213756,0.0001044621,0.0002816382],"domain_scores_gemma":[0.9986551,0.001037789,0.00002948082,0.0002116297,0.0000222634,0.00004368927],"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":[0.00002672459,0.00002230311,0.00006151012,0.0001138565,0.000009904051,0.000001913042,0.0001364466,0.9892487,0.002858429,0.0001056455,0.002298001,0.005116575],"study_design_scores_gemma":[0.0004579632,0.0002044999,0.0002056473,0.00004252918,0.00001033577,0.000001442108,0.0001759105,0.9907845,0.005503739,0.0001618622,0.002287862,0.0001636641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006369679,0.0001887815,0.9943029,0.0008495814,0.0001196201,0.003020958,0.000007960313,0.0007837986,0.00008941273],"genre_scores_gemma":[0.3753669,0.00001043025,0.6200118,0.00005706102,0.0001090126,0.004345384,0.0000181939,0.00007421205,0.000006948014],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.37473,"threshold_uncertainty_score":0.5399972,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998242779","doi":"10.2514/6.2020-2263","title":"Topology Optimization of Heat Sinks for High Efficiency Electronics Employing Simplified Convection Model","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Topology Optimization in Engineering","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":"Carleton University","funders":"","keywords":"Heat sink; Forced convection; Thermal conduction; Heat transfer; Convection; Mechanical engineering; Topology optimization; Electronics; Electronic component; Natural convection; Heat transfer coefficient; Electronics cooling; Thermal resistance; Computer science; Topology (electrical circuits); Mechanics; Materials science; Engineering; Thermodynamics; Physics; Electrical engineering; Finite element method","retraction":null,"screen_n_in":null,"score":{"opus":0.008879376161513694,"gpt":0.2166155311153403,"spread":0.2077361549538266,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009406672,0.0001991476,0.0002869235,0.0001109661,0.00009746657,0.00001690896,0.0001986945,0.0002289752,0.0000313114],"category_scores_gemma":[0.00009083036,0.0002358652,0.00007235329,0.0004643041,0.00005959966,0.0001665394,0.00004314681,0.0002043955,0.000003829885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009008242,"about_ca_system_score_gemma":0.00003929281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003910357,"about_ca_topic_score_gemma":0.000002188157,"domain_scores_codex":[0.9987293,0.00001240423,0.0004256723,0.0002716738,0.0001177622,0.000443128],"domain_scores_gemma":[0.9995114,0.00007208854,0.00005180499,0.0001814742,0.00009574237,0.00008745522],"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":[0.0000204763,0.00000975907,0.00004445172,0.00007287385,0.0000302567,3.887068e-7,0.0001347016,0.9841651,0.01016234,0.004384008,0.0007419843,0.0002336331],"study_design_scores_gemma":[0.0005150338,0.000159636,0.000005639211,0.000007749568,0.00002586297,0.000004098703,0.00005880134,0.974974,0.02325032,0.0005603273,0.0002362791,0.0002022183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01006876,0.0002188712,0.986159,0.001885554,0.0004001652,0.0004122545,0.00003202351,0.0006646307,0.0001587684],"genre_scores_gemma":[0.9498867,0.00007835984,0.04946651,0.0002602651,0.00008980203,0.00006199232,0.00006072257,0.00007331388,0.00002228815],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.939818,"threshold_uncertainty_score":0.9618303,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998094944","doi":"10.2514/6.2020-0893","title":"Assembly Level Topology Optimization Towards a Part Consolidation Algorithm for Additive Manufacturing","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Manufacturing Process and Optimization","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":"Queen's University","funders":"","keywords":"Topology optimization; Aerospace; Consolidation (business); Computer science; Heuristic; Mathematical optimization; Design space exploration; Domain (mathematical analysis); Topology (electrical circuits); Manufacturing engineering; Engineering; Mathematics; Finite element method; Structural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02186279439750394,"gpt":0.2382757831222281,"spread":0.2164129887247242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008810934,0.0002311743,0.0002416148,0.00007398859,0.0001504266,0.00009185307,0.0001800144,0.0001706896,0.0002550923],"category_scores_gemma":[0.00006110527,0.0002473421,0.00007911259,0.0001608781,0.00003132467,0.0003538241,0.0000559854,0.0001543282,0.00002393601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006431655,"about_ca_system_score_gemma":0.00003501268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008728474,"about_ca_topic_score_gemma":0.000005650239,"domain_scores_codex":[0.9987814,0.00001620065,0.0003034767,0.000336964,0.0001629535,0.0003989738],"domain_scores_gemma":[0.9995141,0.00005094875,0.00007696263,0.0001357136,0.00008539922,0.0001368458],"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":[0.00002201065,0.00001511604,0.000005946563,0.0001184238,0.00007291648,0.000004342844,0.0002631791,0.7298182,0.0001165105,0.0002203478,0.01638975,0.2529533],"study_design_scores_gemma":[0.0005226392,0.00009975641,0.00002949713,0.00002176516,0.0000277848,0.000004538259,0.0001358552,0.8495139,0.1134197,0.0002043338,0.03573391,0.0002863496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006231443,0.00007295196,0.994244,0.002062087,0.0004742981,0.0005078309,0.0003078532,0.0005398275,0.001168007],"genre_scores_gemma":[0.5934345,0.0005125322,0.3995216,0.002443811,0.001040192,0.0005346411,0.001894968,0.000196959,0.0004208112],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5947224,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998696895","doi":"10.2514/6.2020-0335","title":"Full-scale aeroelastic simulations of hovering bat flight","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Biomimetic flight and propulsion mechanisms","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 British Columbia","funders":"","keywords":"Aeroelasticity; Wing; Flapping; Aerodynamics; Wing twist; Lift (data mining); Reynolds number; Wing configuration; Aerospace engineering; Vortex; Chord (peer-to-peer); Swept wing; Angle of attack; Computer science; Structural engineering; Engineering; Physics; Mechanics; Turbulence","retraction":null,"screen_n_in":null,"score":{"opus":0.007881534822649503,"gpt":0.1908671094807209,"spread":0.1829855746580714,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005054554,0.0001734432,0.0002324035,0.00006395541,0.00006912355,0.000025726,0.0002261034,0.0001181589,0.0006490521],"category_scores_gemma":[0.00003224352,0.0001667575,0.00009289015,0.0005165497,0.0000302891,0.0001266009,0.00009058241,0.0001678646,0.000194364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002066571,"about_ca_system_score_gemma":0.00001207047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003597504,"about_ca_topic_score_gemma":0.00001279646,"domain_scores_codex":[0.9989493,0.00001298434,0.0003049703,0.0002072251,0.0002224359,0.0003030824],"domain_scores_gemma":[0.9994933,0.00005677921,0.00003965902,0.0002084934,0.00003595577,0.0001658279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004402389,0.00002202539,0.0001975638,0.0001889111,0.0000572528,0.000008156796,0.0004231394,0.02283328,0.9585387,0.0009746847,0.01152209,0.005190175],"study_design_scores_gemma":[0.000706651,0.0003575714,0.0001423832,0.00007494875,0.00005802654,0.000007053349,0.0001690181,0.4285268,0.5322953,0.001665841,0.03553121,0.0004651274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6035883,0.001205637,0.3730158,0.009261091,0.002392922,0.0008881656,0.000248612,0.001620722,0.007778712],"genre_scores_gemma":[0.9925928,0.00002529613,0.006927751,0.0001990909,0.0001051875,0.000006931933,0.00001719417,0.00004057083,0.00008514387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4262433,"threshold_uncertainty_score":0.7106665,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998448104","doi":"10.2514/6.2020-0603","title":"Nonlinear Controller Design for Non-minimum Phase Flight System Enhanced by Adaptive Elevator Algorithm","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Elevator Systems and Control","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":"Lockheed Martin (Canada)","funders":"","keywords":"Elevator; Control theory (sociology); Nonlinear system; Minimum phase; Computer science; Acceleration; Inversion (geology); Algorithm; Flight dynamics; Phase (matter); Aerodynamics; Engineering; Artificial intelligence; Aerospace engineering; Control (management); Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.009108288191675886,"gpt":0.2174849832959891,"spread":0.2083766951043132,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002655184,0.0004770336,0.0008216477,0.00006199914,0.0001885246,0.0001001772,0.0004139123,0.0002553368,0.00002301585],"category_scores_gemma":[0.00005132557,0.0004490468,0.0002624564,0.0003982822,0.00003763753,0.0002349587,0.00004365551,0.0002651016,0.0001961859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401399,"about_ca_system_score_gemma":0.00006447131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008745664,"about_ca_topic_score_gemma":0.000001681603,"domain_scores_codex":[0.9975188,0.00004868063,0.0006773808,0.000562779,0.0003512805,0.0008410194],"domain_scores_gemma":[0.9987867,0.0002005821,0.0001368076,0.0002945259,0.0001729309,0.0004084251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006264394,0.0001239284,0.000003049682,0.0003626097,0.0007280178,0.00002094255,0.0004951924,0.000943173,0.7458922,0.0003314863,0.2224505,0.02802254],"study_design_scores_gemma":[0.006460446,0.0008818749,2.166582e-7,0.00008995125,0.00007002994,0.000003827225,0.0006035368,0.773043,0.175777,0.00001893959,0.04257625,0.0004749203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00278719,0.0008786758,0.9904024,0.0006676256,0.000720164,0.00253691,0.0006664639,0.0008101774,0.0005303692],"genre_scores_gemma":[0.9761143,0.00001826005,0.0207821,0.0005584671,0.0008944853,0.001094147,0.00005286081,0.0001718298,0.0003134925],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9733272,"threshold_uncertainty_score":0.9997962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2996917989","doi":"10.2514/6.2020-0806","title":"Fine-grain Parallel Smoothing by Asynchronous Iterations and Incomplete Sparse Approximate Inverses for Computational Fluid Dynamics","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","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":"McGill University","funders":"","keywords":"Computer science; Asynchronous communication; Benchmark (surveying); Parallel computing; Block (permutation group theory); Multigrid method; Aerodynamics; Sparse matrix; Sparse approximation; Solver; Xeon; Computational science; Iterated function; Algorithm; Applied mathematics; Mathematical optimization; Mathematics; Partial differential equation; Gaussian","retraction":null,"screen_n_in":null,"score":{"opus":0.00863353841581491,"gpt":0.2061822390641593,"spread":0.1975487006483444,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001054521,0.0002684242,0.00026304,0.00007247582,0.0002544956,0.0001934764,0.0001888075,0.00009230983,0.00001289594],"category_scores_gemma":[0.00005614971,0.0003070681,0.00008989489,0.0002856101,0.00006644428,0.0002485677,0.0001099336,0.000178214,0.00001077544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001084164,"about_ca_system_score_gemma":0.00004025396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001262853,"about_ca_topic_score_gemma":0.0001237685,"domain_scores_codex":[0.9986714,0.0000168584,0.0003791885,0.0003564936,0.0002081836,0.0003678779],"domain_scores_gemma":[0.9993812,0.0001753003,0.00005277358,0.0001203021,0.00008567274,0.0001846998],"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":[0.00002038728,0.00002397235,0.0004926668,0.0001382747,0.00007893784,0.000004803734,0.0002345948,0.9384567,0.001231287,0.04050054,0.01496129,0.003856546],"study_design_scores_gemma":[0.0006749393,0.00008156521,0.0001602609,0.0000212635,0.00001921455,0.00001005564,0.00008332533,0.9859948,0.0000150715,0.009632027,0.00297774,0.0003298066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05205157,0.000224519,0.9390479,0.00636835,0.0002015514,0.0004823615,0.001142761,0.000339986,0.0001410167],"genre_scores_gemma":[0.9191961,0.00003367579,0.07701856,0.001056575,0.00009683521,0.00007730912,0.002409453,0.00007562,0.00003584418],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8671446,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997528825","doi":"10.2514/6.2020-1718","title":"Guidance of Unmanned Aerial Gliders for Wildfire Surveillance","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerospace and Aviation Technology","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":"McGill University","funders":"","keywords":"Glider; Exploit; Firefighting; Airspeed; Aerodynamics; Computer science; Trajectory; Environmental science; Aerospace engineering; Engineering; Marine engineering; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.007221259561769324,"gpt":0.2054610097123797,"spread":0.1982397501506104,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006870216,0.0001321706,0.0002362292,0.00003072561,0.00004497294,0.00001155518,0.0002421576,0.0001289241,0.0000218343],"category_scores_gemma":[0.0001253055,0.0001416599,0.00008229216,0.0003510192,0.00005407084,0.00009795606,0.00004372266,0.0000966594,0.00002580224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001993808,"about_ca_system_score_gemma":0.00001619581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006255283,"about_ca_topic_score_gemma":0.00002868953,"domain_scores_codex":[0.9991644,0.000006889417,0.0002426042,0.0001896381,0.0001059389,0.0002905076],"domain_scores_gemma":[0.9996186,0.00004002706,0.00006066946,0.000185697,0.000032862,0.00006210805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003175562,0.00005618022,0.03253631,0.0006934566,0.0002923447,0.00001359072,0.0008819382,0.00954556,0.3655396,0.01425918,0.5495816,0.0262827],"study_design_scores_gemma":[0.004746805,0.001141099,0.005278576,0.0001187712,0.00004253166,0.00000794574,0.001325108,0.09695556,0.4875584,0.006944617,0.3944598,0.00142086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7108753,0.002370239,0.2163227,0.06008945,0.002083247,0.00177521,0.0004120228,0.003650809,0.00242101],"genre_scores_gemma":[0.9965453,0.00005622131,0.002683824,0.0004534745,0.0001210687,0.00003733701,0.00001982299,0.00003364173,0.00004934683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2856699,"threshold_uncertainty_score":0.5776724,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997232336","doi":"10.2514/6.2020-1129","title":"Lockheed Martin Overview of the AFRL EXPEDITE Program: Power and Thermal Management System","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Rocket and propulsion systems research","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":"Lockheed Martin (Canada)","funders":"","keywords":"Aerospace; Systems engineering; Multidisciplinary design optimization; Avionics; Multidisciplinary approach; Engineering; Propulsion; Aeronautics; Computer science; Aerospace engineering; Manufacturing engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02191595270100715,"gpt":0.2592212634639211,"spread":0.2373053107629139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001860844,0.0001491512,0.0002152051,0.00003787502,0.00007740788,0.00005490137,0.0003193645,0.00006824674,0.00006460378],"category_scores_gemma":[0.000009254211,0.0001022157,0.00008618776,0.0004734726,0.00003855352,0.00008730728,0.0003038349,0.000162175,0.00005359048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002510936,"about_ca_system_score_gemma":0.000007618092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006452013,"about_ca_topic_score_gemma":0.000002171309,"domain_scores_codex":[0.9987247,0.00005502819,0.0002970635,0.0001984456,0.0003995961,0.0003251415],"domain_scores_gemma":[0.9994938,0.00001663238,0.0000470451,0.0002874717,0.00003596332,0.0001190986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001753719,0.00009820874,0.01913913,0.01248646,0.000630989,0.0001270335,0.003631582,0.0003764781,0.03110555,0.001484314,0.163022,0.7677228],"study_design_scores_gemma":[0.002445591,0.0006202724,0.01373194,0.001887014,0.0001012193,0.00004603861,0.008266241,0.04771562,0.05344749,0.0001085231,0.8705702,0.001059821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469466,0.009821611,0.0006056952,0.005978259,0.001031072,0.003580544,0.00004057237,0.0009820231,0.03101359],"genre_scores_gemma":[0.9991031,0.00008044374,0.0002305623,0.00008151023,0.00006787326,0.0001046827,0.000002010907,0.00003193917,0.0002978712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.766663,"threshold_uncertainty_score":0.4168234,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998641890","doi":"10.2514/6.2020-2037","title":"Streamwise Variation of the Unsteady Pressure Field in the Three-Dimensional Wall Jet","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerodynamics and Acoustics in Jet Flows","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":"University of New Brunswick","funders":"","keywords":"Jet (fluid); Mechanics; Turbulence; Reynolds number; Nozzle; Physics; Spectral line; Thermodynamics","retraction":null,"screen_n_in":null,"score":{"opus":0.006721502658904176,"gpt":0.1936615518620741,"spread":0.1869400492031699,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001370521,0.0001110432,0.0001186289,0.0000167643,0.00005047177,0.00001998265,0.0003962941,0.00008892691,0.00005057109],"category_scores_gemma":[0.00008022422,0.0000689411,0.00005965952,0.0002966193,0.00002162285,0.00005836684,0.00009247893,0.0002887168,0.000007078952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000109937,"about_ca_system_score_gemma":0.0000177697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006029685,"about_ca_topic_score_gemma":0.000306804,"domain_scores_codex":[0.9992272,0.00002194238,0.0001986595,0.0001315561,0.000241709,0.0001789176],"domain_scores_gemma":[0.9995243,0.0001284888,0.00003932278,0.0002533094,0.00002604963,0.00002850916],"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":[0.00006171802,0.00008180933,0.01486634,0.0001851723,0.0001250675,0.00001419337,0.001422446,0.9198297,0.01217694,0.01017621,0.03791374,0.003146704],"study_design_scores_gemma":[0.000210461,0.00007506495,0.007061251,0.00003234727,0.00002902533,0.000001497337,0.0000612052,0.9860464,0.0004178979,0.002270981,0.003684856,0.0001090117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9025142,0.0009117026,0.03565983,0.05228995,0.001538436,0.001454125,0.0002379871,0.0002776536,0.005116093],"genre_scores_gemma":[0.9983605,0.000009755262,0.0004319158,0.001076452,0.00006510887,0.00001065728,0.000007362552,0.0000148728,0.00002334042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09584631,"threshold_uncertainty_score":0.2811337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997450130","doi":"10.2514/6.2020-1815","title":"Vortex Structure of a Synthetic Jet Issuing into a Turbulent Boundary Layer from a Finite-span Rectangular Orifice","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Fluid Dynamics and Turbulent Flows","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":"University of Toronto","funders":"","keywords":"Body orifice; Vortex; Jet (fluid); Mechanics; Synthetic jet; Turbulence; Boundary layer; Physics; Break-Up; Classical mechanics; Engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006182297688209051,"gpt":0.1950515797291207,"spread":0.1888692820409117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007678381,0.0003713335,0.000473709,0.00009900746,0.0001027954,0.00009793464,0.0004637812,0.0002218701,0.0004224757],"category_scores_gemma":[0.0001198663,0.0003566072,0.0001847109,0.0005960768,0.00006485988,0.0001695545,0.0001442444,0.0004551919,0.00006718196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007710578,"about_ca_system_score_gemma":0.00004664249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844449,"about_ca_topic_score_gemma":0.000128398,"domain_scores_codex":[0.9981225,0.00003429188,0.0004804213,0.0004835903,0.0003964536,0.0004827156],"domain_scores_gemma":[0.9990225,0.0001120657,0.000079709,0.0004916434,0.00006353866,0.0002305771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002750889,0.0001286608,0.004786554,0.001001852,0.001048486,0.0004388217,0.009682704,0.2526494,0.6941248,0.002565417,0.0194129,0.0138853],"study_design_scores_gemma":[0.0005591054,0.0001567957,0.000276097,0.0001821274,0.00009760239,0.000009735505,0.0002288355,0.9283343,0.0200609,0.005199152,0.04431091,0.0005844525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978397,0.003367014,0.0118461,0.003988411,0.0007321642,0.0004457832,0.0003368531,0.0005364113,0.0003502373],"genre_scores_gemma":[0.9941337,0.0001154514,0.004777215,0.0005340444,0.0001920287,0.00001175784,0.0001054593,0.00009830344,0.00003200522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6756849,"threshold_uncertainty_score":0.9998886,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997841567","doi":"10.2514/6.2020-0541","title":"Aerodynamic Shape Optimization for Unsteady Flows: Some Benchmark Problems","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","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":"Shape optimization; Airfoil; Drag; Mathematical optimization; Solver; Laminar flow; Reynolds number; Computer science; Mathematics; Sequential quadratic programming; NACA airfoil; Lift (data mining); Applied mathematics; Mechanics; Quadratic programming; Physics; Finite element method","retraction":null,"screen_n_in":null,"score":{"opus":0.007420126772096044,"gpt":0.194991366985533,"spread":0.187571240213437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001083061,0.0002657962,0.0002549051,0.00007663085,0.0001357836,0.0001097589,0.00029989,0.0001247481,0.0001009173],"category_scores_gemma":[0.00004862518,0.0002913567,0.0001363871,0.0004592985,0.00002373916,0.0003402602,0.00008522157,0.0001825723,0.00003820653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038742,"about_ca_system_score_gemma":0.00003808168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003709298,"about_ca_topic_score_gemma":0.00003202182,"domain_scores_codex":[0.998538,0.00001132697,0.000384577,0.0003767971,0.0002386852,0.0004506725],"domain_scores_gemma":[0.999423,0.00008016902,0.00004772496,0.0001784148,0.00009556037,0.0001751832],"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":[0.000009924476,0.00001460749,0.0000669201,0.0001356896,0.00004258841,0.000002026287,0.00006458395,0.9863403,0.002062712,0.00452434,0.002500961,0.004235337],"study_design_scores_gemma":[0.0004872654,0.0001114481,0.00008852458,0.00003606843,0.00002122466,0.000003353591,0.00003668637,0.9940932,0.00001972737,0.002092476,0.002669465,0.0003405036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1392062,0.0006047368,0.8498679,0.006119308,0.0009712081,0.001325329,0.0003558255,0.00106542,0.0004840544],"genre_scores_gemma":[0.9534646,0.0001762616,0.04365364,0.0009873826,0.000317527,0.0001366089,0.001073429,0.0001284585,0.00006203932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8142585,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998000431","doi":"10.2514/6.2020-1460","title":"Spacecraft Formation Guidance Law using a State Transition Matrix With Gravitational, Drag and Third-Body Perturbations","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Spacecraft Dynamics and Control","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":"Carleton University","funders":"","keywords":"Spacecraft; State-transition matrix; Gravitational field; Orbital elements; Orbital mechanics; Reference frame; Jacobian matrix and determinant; Physics; Control theory (sociology); Drag; Aerospace engineering; Classical mechanics; Computer science; Mechanics; Mathematics; Satellite; Frame (networking); Applied mathematics; Engineering; Artificial intelligence; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.005485507299133938,"gpt":0.2053121397035866,"spread":0.1998266324044526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006652302,0.0001733478,0.0001629494,0.00005377995,0.0001702508,0.000127196,0.00007810008,0.00005667474,0.00001002524],"category_scores_gemma":[0.000008983416,0.0001662889,0.00004173447,0.0003130419,0.00004476911,0.0005873377,0.00001488191,0.0001434503,0.00001111077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005255226,"about_ca_system_score_gemma":0.00002102355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003793124,"about_ca_topic_score_gemma":0.0001470413,"domain_scores_codex":[0.9991263,0.00001551605,0.0002010698,0.0001890275,0.0002093462,0.0002587819],"domain_scores_gemma":[0.9996195,0.00003118395,0.00004548234,0.0001117569,0.00007381907,0.0001181984],"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":[0.000280873,0.00006516605,0.001505238,0.000615846,0.0003314874,0.00006542145,0.009730456,0.4700816,0.4608326,0.04870439,0.005800852,0.001986089],"study_design_scores_gemma":[0.0006446902,0.00009546788,0.0003057251,0.00004663948,0.00003548084,0.0000212858,0.0003721182,0.9930813,0.0005682522,0.001841875,0.002760526,0.0002266606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1846829,0.0005750097,0.7989352,0.01427574,0.00008183039,0.0004926602,0.0001229372,0.0003752988,0.00045839],"genre_scores_gemma":[0.9908425,0.00004817345,0.008052827,0.0008393702,0.00004788668,0.00003335704,0.00005887723,0.00003768253,0.00003931249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8061596,"threshold_uncertainty_score":0.6781065,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998005100","doi":"10.2514/6.2020-1681","title":"The Use of an Inerter in an Aircraft Landing Gear Suspension for Improved Passenger and Crew Comfort at Touchdown","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Vibration Control and Rheological Fluids","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":"Carleton University","funders":"","keywords":"Landing gear; Airframe; Touchdown; Shock absorber; Cushioning; Damper; Engineering; Crew; Acceleration; Automotive engineering; Suspension (topology); Structural engineering; Aerospace engineering; Aeronautics","retraction":null,"screen_n_in":null,"score":{"opus":0.0262956839717043,"gpt":0.2280136552021005,"spread":0.2017179712303962,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001142778,0.0001188389,0.0001901978,0.00002799508,0.0001072607,0.00006058984,0.0001099304,0.00009765153,0.00001749651],"category_scores_gemma":[0.0000635322,0.00007824465,0.00004078042,0.0001322957,0.00004092183,0.0003255797,0.0000719552,0.0001094762,0.000001860601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001693812,"about_ca_system_score_gemma":0.000006163659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001890623,"about_ca_topic_score_gemma":0.0004442127,"domain_scores_codex":[0.9992301,0.00002520182,0.0002392584,0.0001832612,0.0000752165,0.000246961],"domain_scores_gemma":[0.9995484,0.0001395375,0.00002337358,0.0001464257,0.00002925548,0.0001130465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005742801,0.00005256258,0.01618085,0.00009741418,0.00005847255,0.00001193419,0.0005251512,0.006705381,0.9322179,0.001553206,0.01421319,0.02780965],"study_design_scores_gemma":[0.0008370021,0.0004103897,0.003938718,0.00001235162,0.000009759986,0.000002586163,0.00006886058,0.9665679,0.005852182,0.0001992981,0.02194969,0.0001512054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765046,0.000199353,0.01360057,0.008771116,0.0001434564,0.0005552702,0.00003321754,0.000159438,0.00003301058],"genre_scores_gemma":[0.9974439,0.00007900544,0.001549168,0.0007284792,0.00006617182,0.00002515381,0.0000332055,0.0000191681,0.00005573608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9598626,"threshold_uncertainty_score":0.3190724,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2983784323","doi":"10.2514/6.2020-1598","title":"Pose Tracking Control for Spacecraft Proximity Operations Using the Udwadia-Kalaba Framework","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Space Satellite Systems and Control","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":"Carleton University","funders":"","keywords":"Spacecraft; Tracking (education); Computer science; Control (management); Control engineering; Control theory (sociology); Artificial intelligence; Engineering; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01749918666686999,"gpt":0.2412240593148066,"spread":0.2237248726479366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002409812,0.0002660269,0.0003361015,0.00004071325,0.0003745674,0.0002719651,0.0003178146,0.0001840314,0.00004791995],"category_scores_gemma":[0.0002215826,0.0002088098,0.0002007578,0.000411824,0.00004602928,0.0003297241,0.00003395421,0.0003753068,0.00003284413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006605028,"about_ca_system_score_gemma":0.00005404318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004584557,"about_ca_topic_score_gemma":0.00009836061,"domain_scores_codex":[0.9985247,0.00004309594,0.0003347555,0.000309141,0.0002191908,0.0005691797],"domain_scores_gemma":[0.9991535,0.0001729855,0.00004410548,0.0003401588,0.0001079248,0.0001813481],"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":[0.0002924521,0.0001005204,0.007341131,0.0006903806,0.001355731,0.00005025496,0.008741849,0.5812081,0.2954384,0.03743887,0.02538984,0.04195246],"study_design_scores_gemma":[0.001088415,0.0001098992,0.000179628,0.00009035975,0.0001030551,0.00001227611,0.001330737,0.9384475,0.003234564,0.0009259161,0.05405038,0.000427299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02290255,0.001874215,0.9476961,0.02331029,0.000939076,0.002318566,0.0001408123,0.0005578654,0.000260461],"genre_scores_gemma":[0.989921,0.00002568273,0.006778178,0.002041397,0.0009022019,0.0001817341,0.000008394059,0.00007990203,0.00006153693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9670184,"threshold_uncertainty_score":0.8515015,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998053728","doi":"10.2514/6.2020-0311","title":"Design and Testing of 3-D Riblets","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Mechanical Engineering and Vibrations Research","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":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.03886440951718335,"gpt":0.2382534548163168,"spread":0.1993890452991334,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001089083,0.00007668194,0.0001145186,0.0000374925,0.00003135692,0.00002021028,0.0001053645,0.00004686567,0.00002913234],"category_scores_gemma":[0.0002341859,0.00007519175,0.00001614603,0.0004508907,0.00001740745,0.0000697426,0.0000496977,0.0001375007,0.00001866184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006755039,"about_ca_system_score_gemma":0.00001153302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002520153,"about_ca_topic_score_gemma":1.853286e-7,"domain_scores_codex":[0.9994233,0.00001157942,0.000138709,0.000112745,0.0001236143,0.0001900262],"domain_scores_gemma":[0.9996138,0.0001310095,0.000009812654,0.00009361333,0.00002765132,0.0001241689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001390901,0.00001381799,0.0001681365,0.0003665643,0.00004773606,0.0000145069,0.0001701611,0.2784577,0.6608953,0.002119919,0.008569148,0.04916303],"study_design_scores_gemma":[0.0001144527,0.00009634187,0.0000289685,0.0000209726,0.00000315443,0.000002972417,0.00001773275,0.9152793,0.08291052,0.0002222147,0.001224583,0.00007878539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01552542,0.0003084213,0.9816319,0.001209315,0.00004734183,0.0001672943,0.000004775346,0.0003537483,0.0007517671],"genre_scores_gemma":[0.9408365,0.00002812111,0.05899521,0.00006314424,0.00002972161,0.00001039344,0.000001527524,0.00001987515,0.00001546321],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9253111,"threshold_uncertainty_score":0.3066231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997499168","doi":"10.2514/6.2020-1542","title":"Effect of Target Lift Coefficient on Aerodynamic Optimization of Transonic Leading Edge Tubercles","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerodynamics and Fluid Dynamics Research","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":"Royal Military College of Canada","funders":"","keywords":"Transonic; Aerodynamics; Lift coefficient; Aerospace engineering; Wing; Leading edge; Lift (data mining); Airfoil; Computer science; Automotive engineering; Physics; Mechanics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.005426067706200265,"gpt":0.2306899830529255,"spread":0.2252639153467252,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003472168,0.0002295347,0.0004270323,0.000148147,0.00005733189,0.00002204617,0.0003460217,0.0001356916,0.00005687433],"category_scores_gemma":[0.00009063933,0.0002209811,0.000160709,0.00076378,0.00009792041,0.00008900302,0.00006465024,0.000297941,0.00002362505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008061166,"about_ca_system_score_gemma":0.00002937005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009113494,"about_ca_topic_score_gemma":0.00001482145,"domain_scores_codex":[0.9984242,0.00006467982,0.0004026717,0.0002884376,0.0004025112,0.0004174398],"domain_scores_gemma":[0.9993272,0.000155348,0.00005412583,0.0002558063,0.00006598509,0.0001415663],"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":[0.0000782054,0.00002518588,0.0003610443,0.0003700446,0.00004620113,0.000003296442,0.0001330367,0.9345714,0.06134839,0.0006631589,0.0002510337,0.002149027],"study_design_scores_gemma":[0.0005045623,0.0008465318,0.0001624841,0.0000791925,0.00001849507,0.000001163098,0.00003027593,0.9826979,0.01534066,0.00001823605,0.0001230917,0.0001774079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7217019,0.0004030591,0.2748855,0.0006549418,0.0002219382,0.000612903,0.0001465914,0.0002098895,0.001163241],"genre_scores_gemma":[0.998116,0.0001552283,0.00147979,0.00003965393,0.00002852448,0.00001646402,0.00007278269,0.00006693615,0.00002463975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.276414,"threshold_uncertainty_score":0.9011347,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998188376","doi":"10.2514/6.2020-2044","title":"From Sparse Pressure Measurements to Prediction of Instantaneous Loads: A Test Case on Delta Wings in Axial and Transverse Gusts","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerodynamics and Acoustics in Jet Flows","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":"Queen's University","funders":"","keywords":"Aerodynamics; Delta wing; Transverse plane; Vortex; Mechanics; Surface pressure; Angle of attack; Swept wing; Towing; Flow (mathematics); Aerodynamic force; Pressure measurement; Amplitude; Linear regression; Geometry; Mathematics; Structural engineering; Physics; Engineering; Optics; Meteorology; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.01636654558885845,"gpt":0.2056929524910975,"spread":0.1893264069022391,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008773268,0.0001811171,0.0002196884,0.00006821635,0.00004505764,0.00002548576,0.0001306555,0.0001159355,0.00002597766],"category_scores_gemma":[0.0001177045,0.0001951967,0.0000347627,0.0002927908,0.00002642711,0.00008963776,0.00004833628,0.0002250567,0.000006667144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004554246,"about_ca_system_score_gemma":0.00001320822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002290103,"about_ca_topic_score_gemma":0.0005336816,"domain_scores_codex":[0.998908,0.00001179462,0.0002900436,0.0002841811,0.0002536463,0.0002522817],"domain_scores_gemma":[0.9995542,0.00005232194,0.00003060873,0.0001684096,0.00003541129,0.0001590666],"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":[0.0005678082,0.0003199543,0.01858743,0.0005607891,0.0003116137,0.003970357,0.007718917,0.594255,0.3415401,0.00008856232,0.01482498,0.01725442],"study_design_scores_gemma":[0.00190747,0.0008030786,0.001008642,0.0003298402,0.0001325469,0.0001207185,0.0008656147,0.9813681,0.007618202,0.0001654493,0.005224572,0.0004557364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908251,0.0001370504,0.005947037,0.0005462288,0.0002807824,0.0004404488,0.001297066,0.0001364306,0.0003898219],"genre_scores_gemma":[0.9985966,0.00003164393,0.001025845,0.0001718927,0.00009371955,0.00001274548,0.00002477948,0.00003502507,0.000007767388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3871131,"threshold_uncertainty_score":0.795989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997898780","doi":"10.2514/6.2020-1585","title":"Assessment of Numerical Dissipation Techniques for Mesh Adaptation in Large Eddy Simulation","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Fluid Dynamics and Turbulent Flows","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":"Dissipation; Adaptation (eye); Computer science; Large eddy simulation; Eddy current; Computational science; Mechanics; Physics; Engineering; Electrical engineering; Turbulence; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.0116674373397044,"gpt":0.2710913849504117,"spread":0.2594239476107074,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001171295,0.0001028174,0.0001595986,0.00006637023,0.00002596343,0.00001614052,0.000083576,0.00007568218,0.00001795709],"category_scores_gemma":[0.00004002505,0.0001081916,0.0000573087,0.0003000687,0.00000651194,0.0001623091,0.00002411409,0.00009332842,0.000002124357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005679022,"about_ca_system_score_gemma":0.00001666962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006323252,"about_ca_topic_score_gemma":0.00001160569,"domain_scores_codex":[0.9992232,0.00001139471,0.0002834278,0.0001502947,0.0001490707,0.0001825795],"domain_scores_gemma":[0.9997197,0.00005296693,0.00004349304,0.00009403921,0.00004361757,0.00004613538],"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":[0.00001501183,0.0000509167,0.005109383,0.0001285438,0.00001685818,7.110971e-7,0.0002225707,0.9700907,0.005887815,0.007297611,0.0005495474,0.01063028],"study_design_scores_gemma":[0.0002880204,0.0001118498,0.003469909,0.00002350946,0.000006701464,8.625376e-8,0.00004349827,0.9926116,0.0006915284,0.000398159,0.002244383,0.0001107308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02918583,0.00003474587,0.9690225,0.0006134221,0.00009415852,0.0005300982,0.00007314697,0.0001922065,0.0002539352],"genre_scores_gemma":[0.9731373,0.00001647069,0.02644117,0.00009025439,0.00004244,0.00007877457,0.0001625003,0.00002438856,0.000006667613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9439515,"threshold_uncertainty_score":0.4411926,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998625821","doi":"10.2514/6.2020-0719","title":"Validating the Deployment of a Novel Tether Design for Net-Based Orbital Debris Removal Missions","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Space Satellite Systems and Control","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":"Carleton University","funders":"","keywords":"Software deployment; Space debris; Debris; Astrobiology; Computer science; Aerospace engineering; Systems engineering; Geology; Engineering; Software engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.03060045723402153,"gpt":0.2373241696333064,"spread":0.2067237123992849,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002657252,0.000183868,0.0002483169,0.00003239566,0.0001082477,0.00004233255,0.0002621525,0.00008197896,0.00003168657],"category_scores_gemma":[0.0001328714,0.0001329926,0.0001619158,0.0002958438,0.00002848342,0.00006220562,0.00003379404,0.0001296497,0.00001069341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003363455,"about_ca_system_score_gemma":0.00004708014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004424935,"about_ca_topic_score_gemma":0.00001020039,"domain_scores_codex":[0.9988562,0.00002801141,0.0003349682,0.0002087925,0.0002125401,0.0003594937],"domain_scores_gemma":[0.9992579,0.0002482657,0.0000750957,0.0002455667,0.000055121,0.0001180603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001978247,0.0000761342,0.0004221991,0.0003133991,0.0003328346,0.00001977097,0.001144208,0.1703836,0.7608782,0.001162609,0.03544745,0.02962178],"study_design_scores_gemma":[0.0015751,0.0002233845,0.00003479775,0.0001090341,0.00006258729,0.00001200511,0.0007962777,0.8714674,0.07751944,0.000109957,0.04780722,0.0002827608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.016564,0.0008841176,0.9727706,0.007490401,0.000248638,0.0012329,0.00005511323,0.0003006599,0.000453551],"genre_scores_gemma":[0.9584446,0.000004871916,0.04047678,0.0006098723,0.0001567498,0.00012899,0.000007194287,0.00007747512,0.00009347829],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9418806,"threshold_uncertainty_score":0.5423279,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2996802385","doi":"10.2514/6.2020-1293","title":"Truncated-Newton Method with Adjoint-based Hessian-vector Product for Aerodynamic Shape Optimization Problems","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Advanced Numerical Analysis Techniques","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":"Hessian matrix; Aerodynamics; Product (mathematics); Newton's method; Computer science; Mathematical optimization; Mathematics; Applied mathematics; Physics; Engineering; Aerospace engineering; Geometry; Nonlinear system","retraction":null,"screen_n_in":null,"score":{"opus":0.009198774735277054,"gpt":0.2343641080886898,"spread":0.2251653333534128,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001599064,0.0003682235,0.000470577,0.0001149058,0.0001129613,0.00006367835,0.0003231785,0.0001068196,0.00009344544],"category_scores_gemma":[0.0001139977,0.0003120667,0.0001456,0.001333308,0.00004964953,0.0003220243,0.00004356301,0.000259005,0.00001388894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203096,"about_ca_system_score_gemma":0.00004326201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009862756,"about_ca_topic_score_gemma":0.00002590523,"domain_scores_codex":[0.9981096,0.00003705711,0.0004055406,0.0006337445,0.0002803734,0.000533679],"domain_scores_gemma":[0.9991262,0.00007498142,0.0001182236,0.0003558728,0.0001331072,0.000191642],"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":[0.00007617931,0.00003385079,0.00009513414,0.0002722066,0.00008706553,0.000003493365,0.00004271491,0.9536882,0.02904693,0.0001289597,0.002950493,0.01357476],"study_design_scores_gemma":[0.0004607963,0.000358034,0.00002679503,0.00006822203,0.00007799613,0.000002898292,0.00002433419,0.9483408,0.04314309,0.0002258426,0.006847704,0.0004235341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008474349,0.0001915552,0.9863623,0.008995691,0.0000516674,0.001198017,0.00003990352,0.002182632,0.0001307635],"genre_scores_gemma":[0.3011948,0.00002529297,0.6970458,0.0006688351,0.0001009166,0.0005360628,0.0002132593,0.0001545598,0.00006041498],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3003474,"threshold_uncertainty_score":0.9999331,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997993393","doi":"10.2514/6.2020-1235","title":"Aircraft Speed/Altitude Control Using a Sigma-Pi Neural Network","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","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":"Control theory (sociology); Artificial neural network; Aerodynamics; Computer science; Nonlinear system; Feedback linearization; Robust control; Controller (irrigation); Control engineering; Linearization; Flight simulator; Noise (video); Estimator; Control system; Engineering; Simulation; Control (management); Artificial intelligence; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01040849089444474,"gpt":0.2125930597587465,"spread":0.2021845688643018,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007204799,0.000227639,0.0003026014,0.00004207611,0.0001275543,0.00005249049,0.0002957442,0.0001871748,0.0001098007],"category_scores_gemma":[0.00003985706,0.0002396566,0.0001068333,0.0005448459,0.00005492485,0.0002005761,0.00008872448,0.000374647,0.0001437996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004961644,"about_ca_system_score_gemma":0.00001875068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009725295,"about_ca_topic_score_gemma":0.00002035808,"domain_scores_codex":[0.9986321,0.00001674609,0.0002704953,0.0002797152,0.0001795427,0.0006213906],"domain_scores_gemma":[0.999489,0.00003453262,0.0000518475,0.0002345115,0.00003007012,0.0001600235],"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":[0.0000385184,0.00002138587,0.02135306,0.00007334792,0.000153868,0.0001013671,0.0001680812,0.8564909,0.04103846,0.002099765,0.07282782,0.005633464],"study_design_scores_gemma":[0.000933786,0.000124232,0.0004756937,0.00002532602,0.00004339944,0.00001778875,0.0001295283,0.9569031,0.003021792,0.0006216827,0.03728775,0.0004158998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4683937,0.00319798,0.4638399,0.05220517,0.002136413,0.00133823,0.00006535272,0.006855071,0.001968124],"genre_scores_gemma":[0.9938005,0.00003310906,0.002263117,0.003311299,0.0004605768,0.00000828977,0.000009079841,0.00005916786,0.00005485697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5254068,"threshold_uncertainty_score":0.9772915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2996936519","doi":"10.2514/6.2020-1389","title":"Application of ModelCenter to Real World Distributed and Parallel Execution Challenges","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Distributed systems and fault tolerance","field":"Computer Science","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; Workflow; Distributed computing; Context (archaeology); Node (physics); Automation; Load balancing (electrical power); Execution time; Parallel computing; Database; Grid","retraction":null,"screen_n_in":null,"score":{"opus":0.01785750184209741,"gpt":0.2457905730913911,"spread":0.2279330712492937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001235626,0.0001341795,0.0002203133,0.00004730702,0.00006513447,0.00005589344,0.0004775321,0.00005378792,0.000001768552],"category_scores_gemma":[0.00001492675,0.0001278841,0.00004533309,0.0006064649,0.00002887462,0.000285009,0.0002668807,0.00008667981,0.00002727389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002500221,"about_ca_system_score_gemma":0.0000185817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007135084,"about_ca_topic_score_gemma":0.00006610419,"domain_scores_codex":[0.9987194,0.0000278316,0.0002896,0.0004643149,0.0002400176,0.000258817],"domain_scores_gemma":[0.9992306,0.00001966425,0.0001088016,0.0003566866,0.0000872626,0.0001969459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000192877,0.0002460328,0.007818163,0.0003601552,0.00009319944,0.00001946237,0.002773475,0.005425624,0.0101874,0.6909437,0.0420009,0.239939],"study_design_scores_gemma":[0.001021772,0.0004325238,0.01442237,0.0001093439,0.000013891,0.000008020262,0.0002990007,0.8417267,0.00126941,0.006124659,0.1340368,0.0005354519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003398118,0.0003069241,0.9547446,0.04011698,0.00006952785,0.0003572457,0.00008939306,0.00013917,0.0007780438],"genre_scores_gemma":[0.9919434,0.0001070921,0.007243973,0.000521071,0.00004608194,0.00005728295,0.00003734017,0.000007520338,0.00003627575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9885452,"threshold_uncertainty_score":0.5214963,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997120571","doi":"10.2514/6.2020-1595","title":"Composite Magnitude: A tool for creating better star tracker catalogs","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Inertial Sensor and Navigation","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":"Toronto Metropolitan University","funders":"","keywords":"Star tracker; Brightness; Magnitude (astronomy); Stars; Physics; Guide star; Star (game theory); Apparent magnitude; Computer science; Detector; Metric (unit); Calibration; Eclipse; Computer vision; Artificial intelligence; Astrophysics; Optics; Astronomy","retraction":null,"screen_n_in":null,"score":{"opus":0.008449654775833048,"gpt":0.2141480979009093,"spread":0.2056984431250762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006220901,0.0001680548,0.0001798321,0.0000297303,0.0001195511,0.000065958,0.0001393337,0.00009225417,0.00005648285],"category_scores_gemma":[0.00003560148,0.0001702512,0.00008879961,0.0002235296,0.00002043888,0.000209444,0.00003172296,0.0001686317,0.0001188284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003667757,"about_ca_system_score_gemma":0.000007124222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002025191,"about_ca_topic_score_gemma":0.00001081076,"domain_scores_codex":[0.9990253,0.000009852475,0.0002462299,0.0002104109,0.0001495925,0.0003585538],"domain_scores_gemma":[0.9996537,0.00005189954,0.00002799139,0.0001267886,0.00004978672,0.00008983018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002107285,0.00005389987,0.006596674,0.0005951287,0.0001956013,0.00004720999,0.002382192,0.007892332,0.8526785,0.0006611124,0.08875206,0.03993451],"study_design_scores_gemma":[0.003299453,0.0005985418,0.006831363,0.0001635069,0.0001868472,0.00002580316,0.0003546318,0.4605158,0.3891581,0.001281729,0.1359995,0.001584713],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590223,0.0001915475,0.03166957,0.005749991,0.000321259,0.0007502386,0.0002131517,0.0007706163,0.001311287],"genre_scores_gemma":[0.9887615,0.0000077634,0.008444661,0.00201637,0.0003581475,0.00005021531,0.0002496893,0.00005451829,0.00005711444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4635204,"threshold_uncertainty_score":0.6942641,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997223967","doi":"10.2514/6.2020-1726","title":"An Aeroacoustic Study of the Nose Landing Gear with Emphasis on Steering Actuators, Torque Link and Tow Hook","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerodynamics and Acoustics in Jet Flows","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":"University of Toronto","funders":"","keywords":"Freestream; Torque; Landing gear; Noise (video); Engineering; Actuator; Acoustics; Aerospace engineering; Computer science; Reynolds number; Physics; Electrical engineering; Turbulence","retraction":null,"screen_n_in":null,"score":{"opus":0.006246365165254486,"gpt":0.1973052254246527,"spread":0.1910588602593982,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001000588,0.0002078314,0.0002305604,0.00003991405,0.0001293807,0.0000649293,0.0002903304,0.00007416254,0.00001181656],"category_scores_gemma":[0.00003596868,0.0001503626,0.00003290538,0.0003055685,0.00003926443,0.0001065808,0.0001044693,0.0002914864,0.00000281687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004145554,"about_ca_system_score_gemma":0.00001613897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001674963,"about_ca_topic_score_gemma":0.00008348619,"domain_scores_codex":[0.998968,0.0000207025,0.000203753,0.0002681733,0.0002639235,0.0002754137],"domain_scores_gemma":[0.9993999,0.00005552385,0.00004717312,0.0003366296,0.00002996274,0.0001307845],"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":[0.0002212917,0.0004221023,0.05986201,0.0005183779,0.0005666933,0.0001388685,0.01049574,0.8142316,0.05619514,0.0008070037,0.001740201,0.05480091],"study_design_scores_gemma":[0.001297658,0.001846222,0.006907573,0.0001591048,0.0001338524,0.00001028471,0.004317101,0.9822577,0.001734936,0.00007803259,0.0007397487,0.0005177635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821799,0.00004698757,0.01641808,0.0003669756,0.0001910792,0.0004014622,0.00002831928,0.000162535,0.0002045953],"genre_scores_gemma":[0.9987357,0.00002789231,0.000869734,0.0001474874,0.0001281531,0.0000153141,0.00000334919,0.00005723532,0.00001508658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1680261,"threshold_uncertainty_score":0.6131609,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997127373","doi":"10.2514/6.2020-1397","title":"Real-Time Optical Tracking for Store Separation Testing in Wind Tunnel","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Separation (statistics); Wind tunnel; Tracking (education); Computer science; Marine engineering; Aerospace engineering; Real-time computing; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01937015960107762,"gpt":0.2393959067103344,"spread":0.2200257471092568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121471,0.0001335962,0.0001493469,0.00006258641,0.00006180291,0.00006182367,0.0001099819,0.00008223148,0.00003268585],"category_scores_gemma":[0.0001204236,0.0001498064,0.00003932574,0.0004658612,0.00001333219,0.0002832836,0.00003005818,0.0001085292,0.00003982379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005106963,"about_ca_system_score_gemma":0.00001136105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002902795,"about_ca_topic_score_gemma":0.00001077089,"domain_scores_codex":[0.9991291,0.000007614695,0.0002353093,0.0002118569,0.0001245884,0.0002915598],"domain_scores_gemma":[0.999711,0.00007798557,0.00002827026,0.00007879524,0.00003291224,0.00007108134],"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":[0.0000319387,0.00002198525,0.001740458,0.0001533545,0.00002305446,0.000009831277,0.0004662111,0.9494378,0.01393399,0.0006120551,0.01280313,0.02076622],"study_design_scores_gemma":[0.0003980069,0.00008288818,0.0012624,0.00003300857,0.00001325848,6.247583e-7,0.0001313405,0.9958295,0.0005604735,0.00008705,0.00142532,0.0001761003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4872794,0.000130715,0.4682541,0.008094958,0.0005351797,0.002582642,0.00002573796,0.002889178,0.03020808],"genre_scores_gemma":[0.9710522,0.00001314547,0.02839448,0.0001302325,0.0001635049,0.00002480018,0.00007247255,0.00004225081,0.0001068798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4837728,"threshold_uncertainty_score":0.6108926,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2996925387","doi":"10.2514/6.2020-1261","title":"Flying Qualities Prediction Tool for Aerial Refuelling Operational Compatibility Assessment","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Aviation; Aeronautics; Marine engineering; Aerospace engineering; Engineering; Frequency spectrum; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01587935868595924,"gpt":0.2406992784715314,"spread":0.2248199197855721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002773811,0.0001815775,0.0002532947,0.00002488738,0.0002115874,0.0001170925,0.0001342518,0.00009513277,0.00002561698],"category_scores_gemma":[0.00006379518,0.0001895836,0.00009782113,0.0001374964,0.00001657941,0.0002304188,0.00002700855,0.0001706926,0.00001259317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154488,"about_ca_system_score_gemma":0.00003477684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001484995,"about_ca_topic_score_gemma":0.000007996894,"domain_scores_codex":[0.9987986,0.00002506208,0.0003739778,0.0002517901,0.0002373764,0.0003131999],"domain_scores_gemma":[0.99956,0.00008678096,0.00003411682,0.0001614613,0.00006141657,0.0000962113],"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":[0.0001026561,0.00003620104,0.007970467,0.0008178563,0.0002396526,0.000002826094,0.001916802,0.8776734,0.07242058,0.009071379,0.02584905,0.003899154],"study_design_scores_gemma":[0.0007342999,0.0001133385,0.0007201473,0.00004124819,0.00001707305,0.000001706319,0.0005943752,0.9777454,0.001070015,0.0001253854,0.01860449,0.0002325065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1116403,0.000191163,0.8823725,0.00205082,0.001452511,0.0007089763,0.0002249221,0.001013886,0.0003449419],"genre_scores_gemma":[0.9924297,0.000009489727,0.006110359,0.0001495243,0.0008808183,0.0002073191,0.0001126207,0.00004020991,0.00006000145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8807893,"threshold_uncertainty_score":0.7730995,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997742804","doi":"10.2514/6.2020-1604","title":"Attitude tracking of multiple spacecraft on SO(3) with attitude constraints","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Spacecraft; Control theory (sociology); Tracking (education); Attitude control; Trajectory; Computer science; Observer (physics); Control engineering; Controller (irrigation); Rotation matrix; Control (management); Engineering; Artificial intelligence; Aerospace engineering; Physics; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.01666432447691954,"gpt":0.2192082522968671,"spread":0.2025439278199476,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001341719,0.0002921492,0.0004536603,0.00007161337,0.00007558338,0.00004782489,0.0003014509,0.0001158388,0.0000745568],"category_scores_gemma":[0.0001171838,0.0002606973,0.0001108956,0.0003215863,0.0001849733,0.0001718482,0.00006028669,0.0003188456,0.0001535324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005797937,"about_ca_system_score_gemma":0.00004943613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000145659,"about_ca_topic_score_gemma":0.0001329881,"domain_scores_codex":[0.9983976,0.00002829396,0.0003583899,0.0003330002,0.0003890931,0.0004936065],"domain_scores_gemma":[0.999182,0.0001391799,0.00009738248,0.0002831936,0.0000917259,0.000206535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001292341,0.0005019127,0.1890457,0.001734889,0.002773709,0.001210193,0.004339178,0.2243299,0.4737239,0.004853265,0.03532109,0.0608739],"study_design_scores_gemma":[0.0156763,0.00419256,0.03911532,0.002195776,0.0003188568,0.0001942161,0.003400833,0.6026145,0.1113386,0.0001099379,0.217242,0.003601123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5492814,0.00185497,0.4126791,0.015623,0.001307136,0.003122641,0.000523764,0.002781617,0.01282634],"genre_scores_gemma":[0.9950001,0.0000117004,0.004135585,0.0004908262,0.000204953,0.00001922001,0.00001175633,0.00007858183,0.00004730548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4457187,"threshold_uncertainty_score":0.9999845,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998520424","doi":"10.2514/6.2020-1205","title":"A CubeSat-based Robotic Asteroid Sampling Mission","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":1,"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":"CubeSat; Touchdown; Spacecraft; Sampling (signal processing); Aerospace engineering; Computer science; Asteroid; Simulation; Engineering; Astrobiology; Physics; Computer vision; Satellite","retraction":null,"screen_n_in":null,"score":{"opus":0.02350532435062984,"gpt":0.2433919491505155,"spread":0.2198866247998857,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008252762,0.0001693379,0.0001776978,0.00002944423,0.000186065,0.00008152807,0.0003251515,0.00003414065,0.0008442438],"category_scores_gemma":[0.000009535538,0.0001507936,0.00009076935,0.0003401859,0.00004249341,0.0001836955,0.00007294652,0.0002045361,0.0004792762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007899654,"about_ca_system_score_gemma":0.00007422307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004974487,"about_ca_topic_score_gemma":0.000002005732,"domain_scores_codex":[0.9987714,0.00002576298,0.0001934483,0.0003637469,0.0002310372,0.0004146319],"domain_scores_gemma":[0.9993864,0.00004330943,0.00007205924,0.0001924,0.00002375401,0.0002821174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001762139,0.0001984748,0.6526414,0.00008751761,0.00009287153,0.00003360192,0.0007866418,0.1111212,0.08616586,0.002297884,0.03858319,0.1078151],"study_design_scores_gemma":[0.00257391,0.00113241,0.02588572,0.0002903716,0.0001007573,0.000006063683,0.002265955,0.7388085,0.01993037,0.00211831,0.2052263,0.001661284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1995252,0.000213768,0.7688799,0.02431764,0.0004935597,0.0004841053,0.0001001788,0.00023227,0.005753401],"genre_scores_gemma":[0.9908375,4.445922e-7,0.007177495,0.001504382,0.0002347107,0.000002988131,0.00009227514,0.00001303051,0.0001371989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7913123,"threshold_uncertainty_score":0.9243878,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997321178","doi":"10.2514/6.2020-1105","title":"Nonlinear Optimal Approach to Magnetic Spacecraft Attitude Control","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Hamilton–Jacobi–Bellman equation; Control theory (sociology); Nonlinear system; Spacecraft; Attitude control; Optimal control; Discretization; Controller (irrigation); Reaction wheel; Kinematics; Nonlinear control; Galerkin method; Computer science; Mathematics; Control engineering; Engineering; Mathematical optimization; Control (management); Physics; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.006783254598879047,"gpt":0.1978208154298008,"spread":0.1910375608309217,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006217549,0.0001890105,0.0002113099,0.00004322069,0.00006399409,0.00005479188,0.00020754,0.0001001551,0.00007517123],"category_scores_gemma":[0.00003664033,0.000189981,0.00007885648,0.0004353977,0.0000211252,0.0001086798,0.00004355968,0.0002145679,0.0005318084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003542595,"about_ca_system_score_gemma":0.00001026293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001504808,"about_ca_topic_score_gemma":0.000004216251,"domain_scores_codex":[0.9988825,0.00001463677,0.00020772,0.0002589379,0.0002214317,0.0004147252],"domain_scores_gemma":[0.9994913,0.00001797112,0.00001625232,0.0001734949,0.00003851373,0.0002624138],"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":[0.0002819798,0.000158122,0.00205423,0.0002864732,0.0001512996,0.000059298,0.001571662,0.5347301,0.3350845,0.0009964925,0.1074143,0.01721158],"study_design_scores_gemma":[0.001082849,0.0003654663,0.0005212925,0.0000178054,0.00003924945,0.00001021708,0.000142762,0.8897724,0.01622927,0.0000196994,0.09134057,0.0004584487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3670577,0.001167338,0.5669768,0.02816913,0.001131801,0.002462222,0.0002289785,0.002926462,0.02987947],"genre_scores_gemma":[0.9787723,0.00001114401,0.01858565,0.00194477,0.0004251494,0.00003326344,0.0000343094,0.00005321454,0.0001402391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6117145,"threshold_uncertainty_score":0.7747199,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997691128","doi":"10.2514/6.2020-2032","title":"Adaptive Construction of Model-Consistent Wall Functions for Two-Equation Turbulence Models with Applications","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Couette flow; Turbulence; Flow (mathematics); Boundary (topology); Plane (geometry); K-epsilon turbulence model; Applied mathematics; Mathematics; Algebraic number; Boundary value problem; Mathematical optimization; Computer science; Mathematical analysis; Mechanics; Physics; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.01892468454528586,"gpt":0.2079993484341667,"spread":0.1890746638888809,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004668958,0.0001365658,0.0001557832,0.00005336285,0.00009429304,0.00002094841,0.0001072036,0.00004706938,0.000003273783],"category_scores_gemma":[0.000006377846,0.0001375778,0.00007060631,0.0003360589,0.00005409476,0.000194531,0.0000245253,0.00009764192,0.000004363047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006386631,"about_ca_system_score_gemma":0.00005856319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007805477,"about_ca_topic_score_gemma":0.00002936765,"domain_scores_codex":[0.9991781,0.000005498727,0.0002508914,0.0002257667,0.0001686756,0.0001711228],"domain_scores_gemma":[0.9994613,0.00005581356,0.00006053171,0.0001340206,0.0002077162,0.00008064658],"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":[0.00002658868,0.0000110432,0.00001910504,0.00003093559,0.00003857577,1.222228e-7,0.00006212251,0.8822781,0.0007372469,0.1135407,0.0001231691,0.00313219],"study_design_scores_gemma":[0.0003611578,0.00009582761,0.000009654694,0.00001740251,0.00003967418,0.000003739187,0.0001409618,0.9750217,0.0001235648,0.023918,0.0001188927,0.0001494539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007304371,0.00006744338,0.9900648,0.001071786,0.0000510888,0.0006316869,0.0002411648,0.0001698598,0.0003978113],"genre_scores_gemma":[0.866595,0.00001522419,0.1328429,0.0001078225,0.00003164629,0.000215033,0.0001441289,0.00002627935,0.0000219816],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8592906,"threshold_uncertainty_score":0.5610259,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997332368","doi":"10.2514/6.2020-2080","title":"Adaptive Control of a Tendon-Driven Manipulator for the Capture of Non-Cooperative Space Targets","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Trajectory; Transmission (telecommunications); Mechanism (biology); Computer science; Robot; Control engineering; Adaptive control; Simulation; Engineering; Control (management); Artificial intelligence; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.008050145324835329,"gpt":0.1988604962973682,"spread":0.1908103509725329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001069183,0.0002300644,0.0005033854,0.00003626161,0.0000624838,0.00001661437,0.0002868813,0.000116454,0.00002912779],"category_scores_gemma":[0.00005808139,0.000161558,0.0002121611,0.0002755696,0.00006592386,0.0001016322,0.00003527076,0.0001772282,0.00001094708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002782795,"about_ca_system_score_gemma":0.00003799469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009034265,"about_ca_topic_score_gemma":0.00006882262,"domain_scores_codex":[0.9988729,0.00002241636,0.0003386193,0.0002214095,0.0002062723,0.0003383835],"domain_scores_gemma":[0.9991763,0.0001833313,0.0001169569,0.0002442345,0.0001785114,0.0001006563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001271729,0.00008836303,0.003140165,0.0009502745,0.003231757,0.00002967594,0.01130301,0.2740465,0.6311457,0.01559228,0.04947213,0.00972836],"study_design_scores_gemma":[0.00307565,0.0006078055,0.0005870063,0.000105547,0.0001605705,0.00000444047,0.005097337,0.9276323,0.0406283,0.000110898,0.0216279,0.0003622164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006467813,0.008369813,0.9680805,0.01009021,0.0006475102,0.00393862,0.0007089152,0.0002010182,0.001495629],"genre_scores_gemma":[0.998092,0.00004594193,0.00113482,0.0002844002,0.0001492412,0.0001452951,0.000005921429,0.00004720526,0.00009514979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9916242,"threshold_uncertainty_score":0.6588144,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2996890275","doi":"10.2514/6.2020-1126","title":"2020 Update on AFRL EXPEDITE Program Progress by Lockheed Martin","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"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":"Systems engineering; Airframe; Key (lock); Multidisciplinary approach; Computer science; Engineering management; IBM; Work (physics); Engineering; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007440686855302806,"gpt":0.2420549931207259,"spread":0.2346143062654231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002106205,0.000381011,0.0004063473,0.00004316277,0.0002311874,0.0006377368,0.001747517,0.0001637187,0.00005004951],"category_scores_gemma":[0.00005348727,0.0003439498,0.0001622199,0.001404763,0.0001099881,0.0006259268,0.000512726,0.0003810441,0.0009155949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004644368,"about_ca_system_score_gemma":0.00006913992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008716336,"about_ca_topic_score_gemma":0.00000369248,"domain_scores_codex":[0.9966456,0.00008501499,0.0005348228,0.00106132,0.000749261,0.0009239607],"domain_scores_gemma":[0.9983235,0.00002950227,0.0002379038,0.0007830756,0.0001217145,0.000504281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004354321,0.0002133159,0.00104424,0.00004715637,0.0000342545,0.0001186499,0.0002355436,0.000021797,0.0004871027,0.003039593,0.869997,0.1247178],"study_design_scores_gemma":[0.0007617016,0.0007383871,0.0001559906,0.00007855226,0.000007467536,0.00001576716,0.00008258659,0.05436031,0.002685677,0.0002789096,0.9403185,0.0005161074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05346146,0.00682018,0.3141367,0.5887631,0.006172196,0.008419158,0.001033597,0.009850449,0.01134321],"genre_scores_gemma":[0.9819803,0.00003646108,0.008873872,0.007247636,0.0005474713,0.0004766938,0.0001613432,0.00005584388,0.0006204118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9285188,"threshold_uncertainty_score":0.9999012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997416226","doi":"10.2514/6.2020-1998","title":"Flutter Prediction using Reduced-Order Modeling","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":1,"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":"Flutter; Aeroelasticity; Aerodynamics; Airfoil; Euler equations; Control theory (sociology); Degrees of freedom (physics and chemistry); Eigenvalues and eigenvectors; Applied mathematics; Computer science; Mathematics; Engineering; Mathematical analysis; Structural engineering; Physics; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03176648273663107,"gpt":0.2550148126325023,"spread":0.2232483298958712,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005107141,0.000162217,0.0001544934,0.00003139564,0.0001963048,0.00006727243,0.0001352607,0.00005719532,0.0006334332],"category_scores_gemma":[0.000004131906,0.0001571277,0.0001019778,0.0003691102,0.0000235001,0.0002716299,0.00008572576,0.0002705372,0.00007093935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001728282,"about_ca_system_score_gemma":0.00003837917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004172646,"about_ca_topic_score_gemma":3.728611e-7,"domain_scores_codex":[0.9988654,0.00002385383,0.0002410457,0.0003545055,0.0001793912,0.0003358628],"domain_scores_gemma":[0.9995376,0.000007070013,0.00005862896,0.000161655,0.00006324994,0.0001717369],"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":[0.0001167846,0.0001141719,0.006033449,0.00002878957,0.0001709218,0.000005861238,0.0006683476,0.8001101,0.09334899,0.004975053,0.0543015,0.04012602],"study_design_scores_gemma":[0.0002528439,0.00003186609,0.000007098349,0.00001656235,0.00002099154,0.000002205641,0.0002588055,0.990051,0.002827791,0.001309001,0.005063334,0.0001585187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3923042,0.00005720029,0.5940559,0.009214057,0.0006167875,0.0002600104,0.00003221648,0.0001802861,0.003279308],"genre_scores_gemma":[0.9948541,0.000004355522,0.002402321,0.001189652,0.001281945,0.00001185472,0.00003787209,0.00002996623,0.0001879419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6025499,"threshold_uncertainty_score":0.693565,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997008443","doi":"10.2514/6.2020-1633","title":"Fluid-Structure Interaction for the Multidisciplinary Design Optimization of Hopper Cars Employing Honeycomb Sandwich Composites","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Topology optimization; Stiffness; Sizing; Finite element method; Structural engineering; Truss; Honeycomb; Sandwich-structured composite; Minimum mass; Honeycomb structure; Materials science; Optimal design; Computer science; Composite number; Engineering; Composite material","retraction":null,"screen_n_in":null,"score":{"opus":0.0135852009297356,"gpt":0.2266681208837214,"spread":0.2130829199539858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005865969,0.000209425,0.0002230813,0.00005526083,0.0002030493,0.00006052553,0.0002809991,0.0001011727,0.00005153617],"category_scores_gemma":[0.00002378175,0.0001648377,0.000132217,0.0003086623,0.00004183589,0.0001707022,0.00009122935,0.0001916505,0.000002346706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003363905,"about_ca_system_score_gemma":0.00001405054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001055284,"about_ca_topic_score_gemma":0.00000625992,"domain_scores_codex":[0.9990575,0.00002821224,0.000278414,0.0002204774,0.0001654205,0.0002499686],"domain_scores_gemma":[0.9994062,0.0001829006,0.00006069759,0.0002112677,0.00006723332,0.00007168185],"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":[0.00007177526,0.000004471658,0.0004012132,0.00005128852,0.00007401307,0.000001140859,0.0005260714,0.7330502,0.2616524,0.00003296557,0.002384116,0.001750276],"study_design_scores_gemma":[0.0003830803,0.0001073991,0.0002488688,0.00002750395,0.00006247439,0.0000112142,0.0003581974,0.8294855,0.1682521,0.0001281472,0.0007666411,0.0001689078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06627583,0.001371393,0.9291334,0.001464548,0.0005933355,0.0007633037,0.00007406976,0.0002561999,0.00006789094],"genre_scores_gemma":[0.9758245,0.0000737654,0.02366479,0.0001279799,0.0001396613,0.00002613517,0.00008352508,0.00005153237,0.00000805872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9095487,"threshold_uncertainty_score":0.6721887,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998427191","doi":"10.2514/6.2020-0902","title":"Advancing Layer Surface Mesh Generation","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Layer (electronics); Computer science; Mesh generation; Materials science; Composite material; Finite element method; Engineering; Structural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02086833946598773,"gpt":0.2520371260432375,"spread":0.2311687865772498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000207812,0.0001378221,0.000131618,0.00004419234,0.0002143387,0.0002018572,0.0004468244,0.00005728326,0.00005203207],"category_scores_gemma":[0.00008994244,0.0001407926,0.00006530993,0.0009672485,0.00001400406,0.0008362636,0.0002328354,0.0001283573,0.0002361342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003664998,"about_ca_system_score_gemma":0.00009634573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006128587,"about_ca_topic_score_gemma":0.00001159849,"domain_scores_codex":[0.9985943,0.00005077818,0.0002322705,0.000461549,0.0003569676,0.0003041212],"domain_scores_gemma":[0.9993345,0.00004666374,0.00007705509,0.0002430937,0.0001200937,0.0001786066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001514879,0.0000663731,0.0008903504,0.00002774547,0.00004043531,0.00003734891,0.0009656229,0.191668,0.4298698,0.07522111,0.226526,0.07467204],"study_design_scores_gemma":[0.0002346373,0.0001156165,0.0001384981,0.000005220039,0.000004267169,0.00001003115,0.00002890846,0.8645923,0.06482234,0.00112958,0.06870793,0.0002107429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03734872,0.0002079724,0.9229263,0.03790099,0.0005227857,0.0001687315,0.000003670569,0.0002619369,0.0006588608],"genre_scores_gemma":[0.8823364,0.0000222835,0.1099291,0.007007028,0.0003874324,0.000006942581,0.00003017977,0.00001064476,0.0002699685],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8449877,"threshold_uncertainty_score":0.5741356,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2996807102","doi":"10.2514/6.2020-1455","title":"Air Sanitization Using AESA Radar","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":1,"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":"Synthetic aperture radar; Computer science; Boundary (topology); Radar tracker; Radar; Aperture (computer memory); Tracking (education); Remote sensing; Computer vision; Telecommunications; Acoustics; Geology; Physics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02088827568471755,"gpt":0.2348855788809671,"spread":0.2139973031962495,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000133798,0.0001699632,0.0001744915,0.00005561599,0.0002914769,0.0001847859,0.000912239,0.0001005142,0.00005455893],"category_scores_gemma":[0.0000759505,0.0001677488,0.00007508013,0.001016281,0.00004349451,0.0005274812,0.0004806244,0.0002267154,0.0001622707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002908531,"about_ca_system_score_gemma":0.00005642286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002439483,"about_ca_topic_score_gemma":0.000003898832,"domain_scores_codex":[0.9983599,0.00005575582,0.0002713801,0.0005262558,0.0003682493,0.0004184664],"domain_scores_gemma":[0.9990821,0.00005740705,0.0001018846,0.0004734463,0.00007777812,0.0002073502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008924367,0.0002255454,0.006599521,0.0001344804,0.000114741,0.0004908449,0.002969867,0.02675192,0.05758662,0.1676844,0.4413024,0.2960504],"study_design_scores_gemma":[0.0005962859,0.0001636543,0.0003860885,0.00006510945,0.00001603832,0.0000649923,0.0001668928,0.7099646,0.008911655,0.003911262,0.2751497,0.0006037639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006489264,0.0002010278,0.9768298,0.01370147,0.0007660986,0.0001619526,0.00001783162,0.0007094624,0.001123133],"genre_scores_gemma":[0.8166884,0.00003908028,0.1737552,0.008968288,0.0004173512,0.000003928629,0.00003856706,0.00002748509,0.00006165195],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8101991,"threshold_uncertainty_score":0.6840598,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997715339","doi":"10.2514/6.2020-1599","title":"Immersion and Invariance Adaptive Control for Proximity Operations under Uncertainties and Modeling Errors","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Integrator; Double integrator; Estimator; Controller (irrigation); Nonlinear system; Adaptive control; Spacecraft; Scaling; Computer science; Mathematics; Physics; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.0160097010379808,"gpt":0.2146849666033376,"spread":0.1986752655653568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007252138,0.0001414786,0.0001807475,0.00002802166,0.0001580715,0.00007057338,0.00007102215,0.000072988,0.000004277745],"category_scores_gemma":[0.00002077832,0.0001368042,0.00003539414,0.0001033615,0.00003425736,0.0002306651,0.00003494303,0.0001188208,0.000001753161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000261749,"about_ca_system_score_gemma":0.00002013842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003987834,"about_ca_topic_score_gemma":0.00009920963,"domain_scores_codex":[0.9993176,0.000009699721,0.0001395443,0.0002211682,0.00007876141,0.0002332532],"domain_scores_gemma":[0.9997081,0.00003790277,0.00001356672,0.00008336599,0.00004890685,0.0001082227],"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":[0.0001393219,0.0000107285,0.0005569448,0.00007171425,0.0001466859,0.000002053118,0.0006215685,0.9522064,0.02201885,0.02084539,0.000660879,0.002719498],"study_design_scores_gemma":[0.0009724222,0.00009820254,0.00003940594,0.00001697798,0.00003088492,0.000001641309,0.001636438,0.9951819,0.0000895472,0.001616531,0.0001509755,0.0001651203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.074947,0.000769766,0.9125615,0.01082329,0.00008249519,0.0005864971,0.00005747197,0.0001109244,0.00006100026],"genre_scores_gemma":[0.9954175,0.00009641195,0.003258486,0.001032896,0.00004608294,0.00009301501,0.000008111622,0.00002517661,0.00002237125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9204705,"threshold_uncertainty_score":0.5578715,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997468069","doi":"10.2514/6.2020-0338","title":"Automatic adaptive remeshing for unsteady interfacial flows with surface tension","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Fluid Dynamics and Heat Transfer","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":"Polytechnique Montréal","funders":"","keywords":"Computer science; Eulerian path; Context (archaeology); Computational fluid dynamics; Grid; Finite element method; Interface (matter); Surface (topology); Algorithm; Computational science; Mechanics; Applied mathematics; Mathematics; Geometry; Physics; Engineering; Bubble; Parallel computing; Structural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01287877223881431,"gpt":0.1996632492281546,"spread":0.1867844769893403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009103078,0.0002248665,0.0002739602,0.00003427151,0.0001054311,0.00006086695,0.000184615,0.0001024448,0.00003793984],"category_scores_gemma":[0.00001666818,0.0001952108,0.00008017357,0.0002741487,0.0000251615,0.0001972906,0.00003464922,0.0002243894,0.00004083215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005982779,"about_ca_system_score_gemma":0.00002901268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001340311,"about_ca_topic_score_gemma":0.0001360472,"domain_scores_codex":[0.99887,0.00001031074,0.0002408485,0.000277322,0.000189432,0.000412104],"domain_scores_gemma":[0.9995644,0.00004974722,0.00001377937,0.0001622815,0.00006178689,0.0001480148],"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":[0.0007851747,0.0001065927,0.001835309,0.001302427,0.0006798321,0.0001211326,0.005663223,0.5549744,0.3264107,0.008037589,0.05485651,0.04522713],"study_design_scores_gemma":[0.0006514653,0.0003973035,0.00009146753,0.0001070131,0.00003270566,0.000005373184,0.000382213,0.9928613,0.002396033,0.0001528945,0.002645176,0.0002770205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5272902,0.0001783286,0.4665066,0.003278664,0.000322657,0.0007754756,0.00008123109,0.0008475832,0.0007193167],"genre_scores_gemma":[0.9799188,0.00001698993,0.0193952,0.0004375284,0.00008017021,0.00002193536,0.00002275883,0.00007565787,0.00003092725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4526287,"threshold_uncertainty_score":0.7960466,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997682143","doi":"10.2514/6.2020-1603","title":"Modular Derivation of the Equations of Motion of a Flexible Launch Vehicle with Propellant Slosh","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Fluid Dynamics Simulations and Interactions","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":"Polytechnique Montréal; McGill University","funders":"","keywords":"Slosh dynamics; Propellant; Modular design; Trajectory; Propulsion; Vehicle dynamics; Aerospace engineering; Equations of motion; Computer science; Missile; Launch vehicle; Variety (cybernetics); Engineering; Control theory (sociology); Control engineering; Simulation; Control (management); Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.009641836240598814,"gpt":0.193358659916643,"spread":0.1837168236760442,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004367499,0.00007045628,0.0001161876,0.00004687166,0.00003965413,0.000006482948,0.0001153485,0.00003598985,0.00004840388],"category_scores_gemma":[0.00004059991,0.00005306828,0.0000513802,0.0005884658,0.00003878314,0.0001333968,0.00003118976,0.00007943756,0.000003795115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002095679,"about_ca_system_score_gemma":0.00002158271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004165147,"about_ca_topic_score_gemma":0.00001825189,"domain_scores_codex":[0.999391,0.00001189347,0.0002514508,0.00008795376,0.0001622742,0.00009541435],"domain_scores_gemma":[0.9995404,0.00002916651,0.00007842175,0.0001922714,0.0001342692,0.00002548347],"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":[0.00001234299,0.0000355016,0.002781213,0.00008436314,0.00004306446,1.301588e-7,0.0003317129,0.7646977,0.223568,0.007459148,0.0002171767,0.0007695862],"study_design_scores_gemma":[0.0001815837,0.000092776,0.004017687,0.00004979394,0.00001819926,6.020911e-7,0.0001513888,0.929198,0.06572549,0.0002483035,0.0002591836,0.00005701359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6536245,0.0000557706,0.3435751,0.001003066,0.00009041021,0.000324282,0.00005819374,0.00006197421,0.001206696],"genre_scores_gemma":[0.9982693,0.000005694014,0.001575152,0.00002578952,0.00001301266,0.00001067464,0.00001373666,0.00001483556,0.00007179668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3446448,"threshold_uncertainty_score":0.2164062,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2996774099","doi":"10.2514/6.2020-2079","title":"Compliant Spacecraft Capture via a Nonlinear Disturbance Observer-based Impedance Controller","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Spacecraft; Control theory (sociology); Impedance control; Controller (irrigation); Nonlinear system; Robot; Observer (physics); Computer science; Control engineering; Electrical impedance; State observer; Disturbance (geology); Robotics; Engineering; Artificial intelligence; Aerospace engineering; Control (management); Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.008751454888770537,"gpt":0.1948680032369716,"spread":0.186116548348201,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001123172,0.0004155847,0.000595007,0.00004134608,0.0001129641,0.00009989103,0.0004051983,0.0001859487,0.00008189249],"category_scores_gemma":[0.00004177651,0.0003767343,0.0002533091,0.0005030271,0.00005733791,0.0001622148,0.0000504873,0.0004175502,0.0003763892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007759257,"about_ca_system_score_gemma":0.00003754776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001045945,"about_ca_topic_score_gemma":0.00009404872,"domain_scores_codex":[0.998013,0.00003516244,0.0004047467,0.0004723821,0.0003632357,0.0007115381],"domain_scores_gemma":[0.9990348,0.00006622831,0.00008660164,0.0003887729,0.00008352328,0.0003401402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001356851,0.0002845208,0.03268992,0.002451539,0.00150958,0.000913642,0.00275998,0.1802466,0.4336336,0.00210489,0.2783357,0.06371315],"study_design_scores_gemma":[0.002070725,0.0001098552,0.0008178625,0.00008041785,0.00003423197,0.000007379479,0.000187955,0.7597362,0.002240067,0.00006293856,0.2341322,0.000520156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08885948,0.0351774,0.7512191,0.1015577,0.003938747,0.005398194,0.001033567,0.006071159,0.006744633],"genre_scores_gemma":[0.9934458,0.00003577451,0.002227738,0.003335946,0.0004055114,0.00008647217,0.00003133604,0.00009778384,0.0003336707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9045863,"threshold_uncertainty_score":0.9998685,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2996804334","doi":"10.2514/6.2020-1194","title":"Partial Label Learning of RF Emitters with LSTMs","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Wireless Signal Modulation Classification","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":"Lockheed Martin (Canada)","funders":"","keywords":"Discriminator; Computer science; Radio frequency; Agile software development; Exploit; Radar; Artificial intelligence; Frequency modulation; Identification (biology); Modulation (music); Recurrent neural network; Class (philosophy); Artificial neural network; Telecommunications; Detector","retraction":null,"screen_n_in":null,"score":{"opus":0.02100889655016636,"gpt":0.2324766571328138,"spread":0.2114677605826475,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001320148,0.000121937,0.0001639893,0.00005130503,0.0001025723,0.00007525819,0.0005767571,0.00005522528,0.00001676941],"category_scores_gemma":[0.00006867221,0.000108957,0.00003818225,0.000830731,0.00006527526,0.0004714709,0.000167155,0.0001872088,0.00006665449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002326745,"about_ca_system_score_gemma":0.00006480305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001227425,"about_ca_topic_score_gemma":0.000002415792,"domain_scores_codex":[0.998657,0.00004932689,0.0002484407,0.0003899336,0.0004010079,0.0002543045],"domain_scores_gemma":[0.999227,0.00006525688,0.0001952182,0.0002818395,0.0001012186,0.0001294673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002197328,0.0002414059,0.100721,0.0001643451,0.0001604083,0.00005835504,0.005285737,0.02981581,0.4861173,0.2401219,0.01157563,0.1255184],"study_design_scores_gemma":[0.001042037,0.0007206921,0.005948862,0.00005945032,0.00001508127,0.000009531517,0.0002501845,0.8930078,0.08439661,0.0006324599,0.01353493,0.0003824071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06729654,0.00002954184,0.9027891,0.02882054,0.00009107464,0.0001717122,0.000001878324,0.0002560516,0.0005435997],"genre_scores_gemma":[0.9789595,0.000003090422,0.01991168,0.0009657298,0.00005773245,0.00001376795,0.000005531278,0.00001322362,0.00006974606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9116629,"threshold_uncertainty_score":0.4443138,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997555080","doi":"10.2514/6.2020-2043","title":"Surface pressure and coherent structure evolution on an axially accelerated delta wing","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Fluid Dynamics and Turbulent Flows","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":"Queen's University","funders":"","keywords":"Vorticity; Airfoil; Wing; Angle of attack; Mechanics; Lyapunov exponent; Flow (mathematics); Pitching moment; Lift (data mining); NACA airfoil; Physics; Drag; Geology; Aerodynamics; Geometry; Aerospace engineering; Vortex; Engineering; Mathematics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.009659925834787924,"gpt":0.2077258661714546,"spread":0.1980659403366667,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004791914,0.0002188669,0.0001838051,0.00003034656,0.0001060067,0.0001176555,0.0001839664,0.0001452961,0.00008083836],"category_scores_gemma":[0.00001609615,0.0002114707,0.00003436455,0.0002590407,0.00002149505,0.0002351384,0.00006657384,0.0002881514,0.00001196936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003219413,"about_ca_system_score_gemma":0.00001830084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003061701,"about_ca_topic_score_gemma":0.00007190285,"domain_scores_codex":[0.9989588,0.00002081524,0.0001810666,0.0003156773,0.0002025855,0.0003211056],"domain_scores_gemma":[0.9995349,0.00001453045,0.00002534617,0.0001945123,0.00003836023,0.0001923687],"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":[0.00006668948,0.00002184891,0.003587841,0.0001270457,0.0001249458,0.00001643716,0.0003190391,0.8732637,0.1093206,0.002425093,0.007700173,0.003026639],"study_design_scores_gemma":[0.0003983825,0.0001794038,0.00272391,0.00002717759,0.00002960861,0.000003663623,0.0000342443,0.9876081,0.001451167,0.0003080805,0.006975946,0.0002603146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99378,0.0008314602,0.002495878,0.001207636,0.0003486558,0.0003387744,0.0001856097,0.0004992521,0.0003126978],"genre_scores_gemma":[0.998621,0.00003751169,0.0007692926,0.0002803103,0.0001058344,0.000003430601,0.00009574192,0.00004777387,0.00003902835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1143445,"threshold_uncertainty_score":0.8623526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}