{"meta":{"query_hash":"50b4d9c20019","filters":{"venue":"AIAA Guidance, Navigation, and Control Conference"},"cohort_total":104,"direct_labels_cover":0,"predictions_cover":104,"exported":104,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/50b4d9c20019","api":"https://metacan.xera.ac/api/v1/cohort?venue=AIAA+Guidance%2C+Navigation%2C+and+Control+Conference"},"results":[{"id":"W1963956195","doi":"10.2514/6.2011-6573","title":"Synthesis of Optimal Finite Frequency Controllers for Flexible Robotic Manipulator Control","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Robot manipulator; Manipulator (device); Computer science; Control engineering; Optimal control; Control (management); Automatic frequency control; Robot; Engineering; Mathematical optimization; Mathematics; Artificial intelligence","score_opus":0.01891722836210904,"score_gpt":0.20806097618193997,"score_spread":0.18914374781983093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963956195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010046961,0.00014785648,0.98752415,0.000047546775,0.000020535681,0.000018291308,0.000011314305,0.00009882371,0.0020844466],"genre_scores_gemma":[0.8150509,0.00029187393,0.18265523,0.000066778666,0.00004073616,0.00016447857,0.000053304197,0.000029482298,0.0016472293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974185,0.00004923236,0.000016383365,0.000062342464,0.000102639875,0.00002761027],"domain_scores_gemma":[0.9996587,0.00017162193,0.0000819863,0.000027389571,0.000050417984,0.000009948912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052901264,0.00053626875,0.00037560615,0.00023640321,0.00022540968,0.00053055835,0.0005073584,0.00057554926,0.0013616269],"category_scores_gemma":[0.0012991428,0.00027013433,0.00031958148,0.00018728618,0.00052487344,0.00042635153,0.00046508823,0.00057385286,0.00019276528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008431383,0.000041978605,0.00023852299,0.00021061751,0.000037103906,0.00009445818,0.00013599254,0.83654046,0.028724678,0.04279929,0.0006995972,0.09039301],"study_design_scores_gemma":[0.000023003848,0.00011142499,0.00015549656,0.000020619176,0.000010499827,0.000031183266,0.000018784145,0.98283845,0.004538188,0.010400824,0.0018396217,0.000011888618],"about_ca_topic_score_codex":0.00095280656,"about_ca_topic_score_gemma":0.001127589,"teacher_disagreement_score":0.0013616269,"about_ca_system_score_codex":0.00037495323,"about_ca_system_score_gemma":0.00054568244,"threshold_uncertainty_score":0.004555106},"labels":[],"label_agreement":null},{"id":"W1996468513","doi":"10.2514/6.2010-7756","title":"Spacecraft Proximity Navigation and Autonomous Assembly based on Augmented State Estimation: Analysis and Experiments","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spacecraft; Computer science; Aerospace engineering; State (computer science); Estimation; Remote sensing; Engineering; Systems engineering; Geology; Algorithm","score_opus":0.0059331653064415,"score_gpt":0.22584724468844217,"score_spread":0.21991407938200067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996468513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9194468,0.0002119291,0.07697051,0.000057809375,0.000054725457,0.00006903993,0.000031198102,0.00049796293,0.002660063],"genre_scores_gemma":[0.98774534,0.000047531485,0.01127328,0.000010322167,0.0000051266884,0.00002597907,0.000036298945,0.000018798988,0.00083721225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993325,0.00016469794,0.000025643836,0.00010896526,0.00029556593,0.000072681134],"domain_scores_gemma":[0.9967033,0.0019397874,0.0003472647,0.00037968927,0.000506595,0.00012326741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008242885,0.0005948061,0.00071139814,0.00049579295,0.0005985182,0.00060187664,0.00058225536,0.00076008117,0.0015132603],"category_scores_gemma":[0.0038382364,0.0005233196,0.00029378512,0.0004836881,0.0007920741,0.0013997988,0.0011983676,0.00061065314,0.00025009207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010442297,0.0019249351,0.011332726,0.0003702234,0.0002122813,0.00042420378,0.0015810328,0.6296401,0.12635483,0.0048980513,0.0010054817,0.21181394],"study_design_scores_gemma":[0.00014165675,0.0022175945,0.0047118813,0.000010733327,0.000040999294,0.00007665757,0.00010594707,0.9709326,0.02065356,0.0006616841,0.0004176484,0.00002893439],"about_ca_topic_score_codex":0.006303023,"about_ca_topic_score_gemma":0.0044093723,"teacher_disagreement_score":0.006303023,"about_ca_system_score_codex":0.0004794592,"about_ca_system_score_gemma":0.0007440804,"threshold_uncertainty_score":0.012532651},"labels":[],"label_agreement":null},{"id":"W2018246578","doi":"10.2514/6.2010-8296","title":"Formation Flying Control of Small Satellites","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Aeronautics; Computer science; Astrobiology; Engineering; Physics","score_opus":0.00815061391690802,"score_gpt":0.20625468684198786,"score_spread":0.19810407292507984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018246578","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15918797,0.00039341688,0.83590853,0.000097380194,0.00009249786,0.000033861084,0.000017100041,0.00025385548,0.0040152846],"genre_scores_gemma":[0.96787393,0.00011984379,0.02989442,0.0000229488,0.000015446347,0.00003993249,0.000022407572,0.0000059662843,0.002005091],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999263,0.00001376891,0.0000049175014,0.000018807381,0.000026292273,0.000009861577],"domain_scores_gemma":[0.999918,0.000018793042,0.00002050844,0.000011553493,0.000023260081,0.000007969694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016567946,0.00033173786,0.0002486297,0.0001447595,0.00023623806,0.0003185099,0.00033765624,0.00019818779,0.00050796545],"category_scores_gemma":[0.00027511304,0.00012743213,0.00020504209,0.00010380996,0.00028377323,0.00019284045,0.0003947694,0.0002822622,0.0000670774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016916943,0.00003817518,0.002027873,0.00020788542,0.00004959893,0.00019964899,0.0003243721,0.7502835,0.07278382,0.01094922,0.000845867,0.16212092],"study_design_scores_gemma":[0.0000141849505,0.00012512668,0.00048798128,0.0000044193234,0.000006161894,0.000029457426,0.0000131466895,0.9947337,0.0030461191,0.0005307257,0.0010042285,0.0000048010393],"about_ca_topic_score_codex":0.002617656,"about_ca_topic_score_gemma":0.002286082,"teacher_disagreement_score":0.002617656,"about_ca_system_score_codex":0.00022784292,"about_ca_system_score_gemma":0.0003170094,"threshold_uncertainty_score":0.0052048564},"labels":[],"label_agreement":null},{"id":"W2018550573","doi":"10.2514/6.2009-5661","title":"Temperature Variation of Optical Sensors on a wing during wind tunnel tests","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; École de Technologie Supérieure","funders":"National Research Council Canada","keywords":"Variation (astronomy); Wind tunnel; Wing; Environmental science; Aerospace engineering; Atmospheric sciences; Geology; Engineering; Physics; Astronomy","score_opus":0.004494296541960846,"score_gpt":0.1947690862279888,"score_spread":0.19027478968602796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018550573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99627364,0.00003216079,0.0032030933,0.0000094250945,0.000014038529,0.000011997375,0.00008503612,0.000049659015,0.0003210197],"genre_scores_gemma":[0.9979164,0.000024804966,0.0016114562,0.000009956447,0.0000032604037,0.000012959563,0.00007253199,0.000011160979,0.00033749733],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951077,0.000062467116,0.000026306674,0.00007641226,0.00023616856,0.000087891356],"domain_scores_gemma":[0.99913824,0.00023842027,0.00013324666,0.000088623456,0.00032237472,0.000079026264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048710086,0.00041041442,0.00033394288,0.00038145878,0.00031381595,0.00039141998,0.00033629412,0.00036816718,0.00070007605],"category_scores_gemma":[0.0012415125,0.00021318512,0.00020129493,0.00021595723,0.00033244828,0.00037372773,0.00032539768,0.00031183,0.000137063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009563234,0.00016998767,0.022957379,0.00011205805,0.000025895652,0.00035754082,0.00059803517,0.0024058735,0.95551276,0.000107006614,0.00019912998,0.016598064],"study_design_scores_gemma":[0.000032354837,0.0022138192,0.10396469,0.000039417446,0.00005750232,0.0004480396,0.0006296473,0.019761555,0.8716751,0.00008107851,0.0010446826,0.00005222685],"about_ca_topic_score_codex":0.00051407114,"about_ca_topic_score_gemma":0.0009911021,"teacher_disagreement_score":0.00070007605,"about_ca_system_score_codex":0.00011442825,"about_ca_system_score_gemma":0.00015694763,"threshold_uncertainty_score":0.0025761127},"labels":[],"label_agreement":null},{"id":"W2073158407","doi":"10.2514/6.2010-8425","title":"Safe Path Planning in the Presence of Large Communication Delays Using Tube Model Predictive Control","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Model predictive control; Computer science; Control (management); Path (computing); Motion planning; Control theory (sociology); Tube (container); Engineering; Computer network; Artificial intelligence","score_opus":0.010229960166474211,"score_gpt":0.24668993991339053,"score_spread":0.23645997974691632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073158407","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047857363,0.00016084939,0.94995606,0.0001323063,0.000019015992,0.000019939465,0.000021240374,0.00017416065,0.0016589438],"genre_scores_gemma":[0.959555,0.00014103143,0.038656563,0.000027103712,0.0000169355,0.00005905779,0.00004283952,0.00002618323,0.0014753934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996519,0.00010916258,0.000008848972,0.00005687951,0.00012307776,0.000050094226],"domain_scores_gemma":[0.99916255,0.00052428985,0.00013273663,0.000047032274,0.000089755355,0.0000436667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054589857,0.0006338276,0.0007935075,0.00035822246,0.0004978143,0.00072713447,0.0008042418,0.00079018966,0.0007075604],"category_scores_gemma":[0.0016901016,0.0004872576,0.0003161049,0.00046505255,0.0009763346,0.0011157421,0.00093909126,0.0008844223,0.00009370792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020826348,0.000004557075,0.00007719029,0.0000075485746,0.0000038069252,0.000035101406,0.000019715902,0.99459356,0.00045095538,0.0020654937,0.00007581766,0.0026454106],"study_design_scores_gemma":[0.000002738429,0.000011066675,0.000021485825,6.55061e-7,9.743537e-7,0.0000043443697,0.0000036224599,0.9986242,0.000119372584,0.0011445946,0.0000657055,0.0000012624704],"about_ca_topic_score_codex":0.00861471,"about_ca_topic_score_gemma":0.004959738,"teacher_disagreement_score":0.00861471,"about_ca_system_score_codex":0.0008302721,"about_ca_system_score_gemma":0.0013017631,"threshold_uncertainty_score":0.017129123},"labels":[],"label_agreement":null},{"id":"W2077612208","doi":"10.2514/6.2010-7884","title":"Fault Detection and Diagnosis for GTM UAV with Dual Unscented Kalman Filter","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Else Kröner-Fresenius-Stiftung; National Aeronautics and Space Administration","keywords":"Kalman filter; Dual (grammatical number); Computer science; Fault detection and isolation; Extended Kalman filter; Fault (geology); Artificial intelligence; Geology; Seismology","score_opus":0.006310540631994938,"score_gpt":0.20787020995866934,"score_spread":0.2015596693266744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077612208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021548014,0.000066806744,0.97738224,0.00004934851,0.00002302425,0.000018102559,0.000029859284,0.00049015146,0.00039249324],"genre_scores_gemma":[0.79332954,0.00008393656,0.20522311,0.000042534586,0.000024285962,0.000058824713,0.00010634534,0.000023289522,0.00110797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955946,0.00007474326,0.000031496827,0.00011738786,0.00016245381,0.000054553213],"domain_scores_gemma":[0.9994271,0.00019949581,0.00011876708,0.000087476525,0.00014313044,0.000024107536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005255009,0.00053867087,0.00059631147,0.000489375,0.00035468463,0.00045679006,0.0005141792,0.00066720194,0.0007747499],"category_scores_gemma":[0.0024563498,0.00023852692,0.00044561413,0.00021435242,0.0003893139,0.00051112415,0.00065184414,0.0005514333,0.00024431874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052526465,0.000073853655,0.0051865526,0.00017277326,0.00008748936,0.00035465683,0.0002616425,0.6701739,0.033305205,0.008551053,0.0011603181,0.28014734],"study_design_scores_gemma":[0.000009832492,0.00003171377,0.0002797899,0.0000031733114,0.0000054446505,0.00003649529,0.000005487751,0.99648464,0.0021946256,0.000640805,0.0003036413,0.000004352992],"about_ca_topic_score_codex":0.008730652,"about_ca_topic_score_gemma":0.005895921,"teacher_disagreement_score":0.008730652,"about_ca_system_score_codex":0.000509107,"about_ca_system_score_gemma":0.00071779994,"threshold_uncertainty_score":0.017359674},"labels":[],"label_agreement":null},{"id":"W2081566836","doi":"10.2514/6.2009-6260","title":"Methodologies for Adaptive Flight Envelope Estimation and Protection","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Envelope (radar); Computer science; Estimation; Aeronautics; Aerospace engineering; Engineering; Telecommunications; Systems engineering; Radar","score_opus":0.02559593111218855,"score_gpt":0.2545929882090362,"score_spread":0.22899705709684764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081566836","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025048334,0.00018708949,0.9991763,0.000013564122,0.000010187514,0.000008311168,0.0000034241743,0.000055487235,0.00029504413],"genre_scores_gemma":[0.11022045,0.0016379396,0.88386315,0.000096478434,0.00019862958,0.00020489667,0.00009058817,0.00011660606,0.0035712828],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989905,0.00024385135,0.000073317016,0.00022097128,0.00040897494,0.00006242406],"domain_scores_gemma":[0.998705,0.00066207536,0.00016331802,0.00017984677,0.00026740518,0.000022339269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015920906,0.0009109892,0.0008078395,0.001251303,0.00034952103,0.00092476036,0.0015230625,0.001042032,0.0023265413],"category_scores_gemma":[0.0039662165,0.00055264245,0.0010049404,0.0006797214,0.00079997146,0.0013871421,0.0011478318,0.0012643785,0.00090432743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000618244,0.000049837694,0.0004254313,0.00030694055,0.000111760186,0.0001032721,0.00017377289,0.28859586,0.015435384,0.0992006,0.0014150809,0.5941203],"study_design_scores_gemma":[0.000022834902,0.000072661125,0.00027968368,0.00005218867,0.000028181074,0.00017483508,0.000020513942,0.94256043,0.00552307,0.03831787,0.012913765,0.000033986027],"about_ca_topic_score_codex":0.0014553734,"about_ca_topic_score_gemma":0.0009134528,"teacher_disagreement_score":0.0023265413,"about_ca_system_score_codex":0.00056661724,"about_ca_system_score_gemma":0.0005269671,"threshold_uncertainty_score":0.008419871},"labels":[],"label_agreement":null},{"id":"W2085764402","doi":"10.2514/6.2012-4610","title":"Optimization of Single-Satellite Operational Schedules Towards Enhanced Communication Capacity","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Satellite Communication Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Michigan; National Science Foundation","keywords":"Payload (computing); Computer science; Satellite; Upload; Communications satellite; Ground segment; Stochastic optimization; Real-time computing; Distributed computing; Systems engineering; Engineering; Mathematical optimization; Computer network; Aerospace engineering","score_opus":0.029871659529710447,"score_gpt":0.23573273968566832,"score_spread":0.2058610801559579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085764402","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43567944,0.0012195269,0.4996383,0.0010682944,0.000415444,0.0003648443,0.00038456012,0.00071703945,0.060512498],"genre_scores_gemma":[0.93040824,0.0003203279,0.05797904,0.000056306737,0.000085459855,0.00009720047,0.0001380108,0.00016564975,0.010749697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994055,0.00024325452,0.000014229732,0.00006701165,0.00015096688,0.00011909638],"domain_scores_gemma":[0.9978467,0.0009855509,0.0002908884,0.00012178311,0.00057017803,0.00018500592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010214394,0.0005899253,0.00085632806,0.0006706438,0.00045425267,0.0011431098,0.0010044699,0.0006375433,0.009205608],"category_scores_gemma":[0.0053003207,0.0004200173,0.00027793183,0.00093576283,0.0003983135,0.0007708035,0.00063799456,0.00050353014,0.0011486952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014534977,0.000039436134,0.00030962855,0.00008722937,0.000017759787,0.000056573328,0.000036230278,0.9578931,0.0027354166,0.0039495695,0.0025591783,0.032170475],"study_design_scores_gemma":[0.0000295136,0.00009840757,0.00033983603,0.000011629824,0.00001262591,0.000022163451,0.000037470963,0.9928464,0.0017593686,0.0031284657,0.0017076399,0.0000065026898],"about_ca_topic_score_codex":0.0029321637,"about_ca_topic_score_gemma":0.004018089,"teacher_disagreement_score":0.009205608,"about_ca_system_score_codex":0.0006641738,"about_ca_system_score_gemma":0.0025590481,"threshold_uncertainty_score":0.030795813},"labels":[],"label_agreement":null},{"id":"W2109371777","doi":"10.2514/6.2009-5794","title":"Control of a Hovering Mini Fixed Wing Aerial Vehicle","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Université Laval","funders":"","keywords":"Fixed wing; Aeronautics; Wing; Computer science; Aerospace engineering; Automotive engineering; Marine engineering; Engineering","score_opus":0.009325343730955192,"score_gpt":0.21453818437432534,"score_spread":0.20521284064337014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109371777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24125925,0.000390478,0.74392825,0.00015834002,0.00010750308,0.00011595743,0.000070183996,0.000678463,0.013291582],"genre_scores_gemma":[0.97672516,0.00014090977,0.01744686,0.00004358954,0.000029749477,0.00006881668,0.000041042298,0.000011698548,0.005492051],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995565,0.000006003813,0.0000016896495,0.0000124904645,0.00001664972,0.0000074571662],"domain_scores_gemma":[0.99993706,0.000014367397,0.00001786543,0.0000048425936,0.000016992011,0.000008846188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009447199,0.00040124956,0.00017597934,0.00012893198,0.0002625513,0.0003806215,0.00026978122,0.00022475427,0.0013618227],"category_scores_gemma":[0.00014963723,0.00010887293,0.00011303599,0.00006795495,0.00023616667,0.00016445386,0.00024650252,0.00024193716,0.0002202835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047912032,0.000088828565,0.0015856144,0.00027808474,0.00006031526,0.00080650375,0.00036682046,0.34048972,0.41632482,0.009892793,0.0023130632,0.22731435],"study_design_scores_gemma":[0.000053017604,0.00092086167,0.0021740876,0.000016182601,0.000023680837,0.00027029504,0.0000804412,0.96769667,0.020680211,0.001276098,0.0067890272,0.000019503937],"about_ca_topic_score_codex":0.002125742,"about_ca_topic_score_gemma":0.002370097,"teacher_disagreement_score":0.002125742,"about_ca_system_score_codex":0.00012785083,"about_ca_system_score_gemma":0.00019748324,"threshold_uncertainty_score":0.004555762},"labels":[],"label_agreement":null},{"id":"W2118078183","doi":"10.2514/6.2010-7765","title":"Overview of Japan-Canada Joint Collaboration Satellites (JC2Sat) GNC Challenges and Design","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Joint (building); Computer science; Aeronautics; Systems engineering; Engineering; Architectural engineering","score_opus":0.024446687220185077,"score_gpt":0.22298216498002876,"score_spread":0.19853547775984368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118078183","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029122848,0.03704758,0.73009586,0.005096163,0.0009872798,0.0010123744,0.0007095823,0.0019787077,0.19394964],"genre_scores_gemma":[0.4072304,0.04348222,0.47856468,0.0018202491,0.00057935284,0.00081704854,0.0026342387,0.0005440166,0.06432778],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869245,0.0001481799,0.00004825309,0.0001001907,0.0008624373,0.00014850854],"domain_scores_gemma":[0.99905306,0.00005112902,0.000036668513,0.00004912858,0.0007290949,0.00008084475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001446425,0.0008062031,0.00037181054,0.0008961799,0.00083301996,0.0021582926,0.0011096759,0.0009427849,0.0021418955],"category_scores_gemma":[0.0010817585,0.00035517983,0.0003242123,0.0013088331,0.000685107,0.00093237916,0.0010198301,0.00072579796,0.0011037372],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026674275,0.000051291,0.0074576605,0.0012264294,0.00011382965,0.00039509413,0.00072617084,0.10286096,0.026952732,0.0835604,0.03190866,0.74447995],"study_design_scores_gemma":[0.000060225524,0.0002986472,0.0049283206,0.0004474147,0.00013053264,0.00055450114,0.0005505179,0.11242034,0.015529412,0.012545519,0.8524419,0.00009269923],"about_ca_topic_score_codex":0.105727784,"about_ca_topic_score_gemma":0.13159235,"teacher_disagreement_score":0.105727784,"about_ca_system_score_codex":0.0043680007,"about_ca_system_score_gemma":0.008152435,"threshold_uncertainty_score":0.21022475},"labels":[],"label_agreement":null},{"id":"W2120049454","doi":"10.2514/6.2010-8329","title":"Cooperative Communication Failure Detection for Multiple Vehicle Systems","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network","score_opus":0.005479091085620457,"score_gpt":0.19862956603503457,"score_spread":0.19315047494941412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120049454","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02126521,0.0005301889,0.97720796,0.00011780902,0.000043848508,0.000026916843,0.000010623662,0.00019564995,0.0006018689],"genre_scores_gemma":[0.9187462,0.00042900429,0.07924245,0.000068079695,0.00007468733,0.00010898794,0.000050517225,0.000023387447,0.0012567808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843735,0.00039338678,0.00006447575,0.00033878215,0.0006279748,0.00013799696],"domain_scores_gemma":[0.99369323,0.0039587948,0.00077538233,0.00041174667,0.0010644023,0.00009636789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015885548,0.00073311303,0.0009166608,0.0013038521,0.0005179978,0.0008366263,0.001172187,0.0010422142,0.00054597197],"category_scores_gemma":[0.009758086,0.0003401262,0.00048526638,0.0008913858,0.0010301945,0.0015332126,0.0010112976,0.0009791408,0.0001536875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013577918,0.00004909527,0.0017428392,0.00015047514,0.00007816873,0.00022807844,0.00029493961,0.8533763,0.0050308327,0.020696728,0.0009893465,0.117227405],"study_design_scores_gemma":[0.000009804974,0.000057501096,0.00024087663,0.000007894493,0.000010037396,0.000066147455,0.000021062746,0.9916284,0.001329722,0.005997907,0.0006201691,0.0000104257215],"about_ca_topic_score_codex":0.0026765969,"about_ca_topic_score_gemma":0.0012589032,"teacher_disagreement_score":0.0026765969,"about_ca_system_score_codex":0.0009480674,"about_ca_system_score_gemma":0.00062705716,"threshold_uncertainty_score":0.0084011555},"labels":[],"label_agreement":null},{"id":"W2133518753","doi":"10.2514/6.2011-6516","title":"Modeling and Optimization of Terminal Airspace and Aircraft Arrival Subject To Weather Uncertainties","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Terminal (telecommunication); Computer science; Aeronautics; Aerospace engineering; Air traffic control; Atmospheric model; Environmental science; Meteorology; Arrival time; Engineering; Transport engineering; Telecommunications; Physics","score_opus":0.011892347542040565,"score_gpt":0.20090355529189807,"score_spread":0.1890112077498575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133518753","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14576599,0.0007582508,0.8390668,0.00077670463,0.00010005012,0.00007740482,0.0010216213,0.00028498936,0.0121481875],"genre_scores_gemma":[0.9719464,0.0005434285,0.019757017,0.000047214362,0.00005682303,0.00012782111,0.00043603723,0.00006474996,0.0070204763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993594,0.00018407518,0.000026591832,0.00012411799,0.0001611435,0.00014460245],"domain_scores_gemma":[0.99918693,0.00047427634,0.00014932915,0.00003705869,0.000097505435,0.00005484676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009706513,0.00110799,0.0011919083,0.00057830475,0.0004590969,0.0016331457,0.0010670953,0.0015811588,0.001885672],"category_scores_gemma":[0.002145152,0.000975945,0.00095900614,0.0008468098,0.0010136936,0.0013731297,0.0010910633,0.0013692434,0.00026338795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044670646,0.0000034489678,0.00006938982,0.000003408188,0.0000031362983,0.000009269595,0.000004011884,0.99815446,0.00007670519,0.0012898033,0.000043659813,0.0003382246],"study_design_scores_gemma":[0.0000020279665,0.000004604378,0.00008226126,7.8701487e-7,0.0000014466863,0.0000016442956,0.0000028612392,0.99904567,0.000038928792,0.0007505678,0.00006720015,0.000001896562],"about_ca_topic_score_codex":0.0415369,"about_ca_topic_score_gemma":0.01961425,"teacher_disagreement_score":0.0415369,"about_ca_system_score_codex":0.0014947192,"about_ca_system_score_gemma":0.0020668604,"threshold_uncertainty_score":0.08259022},"labels":[],"label_agreement":null},{"id":"W2134769761","doi":"10.2514/6.2011-6263","title":"Assessment of an Automated Touchdown Detection Algorithm for the Orion Crew Module","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Crew; Touchdown; Computer science; Algorithm; Real-time computing; Simulation; Engineering; Aeronautics","score_opus":0.011832268336811495,"score_gpt":0.23411605326205176,"score_spread":0.22228378492524026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134769761","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42070684,0.00037446423,0.56871253,0.00012189626,0.00011342797,0.0004328259,0.00014736653,0.0057917405,0.0035988286],"genre_scores_gemma":[0.74850607,0.00012026046,0.24863501,0.000058408998,0.000012362374,0.00013438753,0.00026529122,0.00013500734,0.002133068],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994574,0.0000594125,0.000034745382,0.00013535364,0.00024499538,0.000068070214],"domain_scores_gemma":[0.9982522,0.00055923325,0.00018187401,0.00012363971,0.00078451907,0.00009842847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006906919,0.0006198401,0.00042056557,0.00057647214,0.00027142878,0.0007017747,0.0009077097,0.00066943053,0.0016243825],"category_scores_gemma":[0.0027663314,0.00023179845,0.0002935435,0.00020701397,0.00017799072,0.00046181798,0.0004226303,0.0004565722,0.00036743502],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017459891,0.00043106708,0.0148526225,0.00024786734,0.00009060408,0.00019650582,0.00024771137,0.23193645,0.1345473,0.0014125959,0.002666326,0.61162496],"study_design_scores_gemma":[0.00005895227,0.00061399606,0.0053404537,0.000017019674,0.000034414083,0.00009357698,0.000049648428,0.94986284,0.04183135,0.00011797424,0.0019480997,0.000031660955],"about_ca_topic_score_codex":0.005506944,"about_ca_topic_score_gemma":0.0035194778,"teacher_disagreement_score":0.005506944,"about_ca_system_score_codex":0.0005627268,"about_ca_system_score_gemma":0.00081521214,"threshold_uncertainty_score":0.010949731},"labels":[],"label_agreement":null},{"id":"W2137606345","doi":"10.2514/6.2011-6545","title":"Modelling and Multivariable Control Techniques for Small Coaxial Helicopters","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multivariable calculus; Computer science; Control (management); Control engineering; Engineering; Control theory (sociology); Artificial intelligence","score_opus":0.033222980537632896,"score_gpt":0.21734016066658637,"score_spread":0.18411718012895348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137606345","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014343801,0.00054663204,0.9818162,0.000097188335,0.000034893266,0.00003715478,0.000034245106,0.00034241728,0.002747446],"genre_scores_gemma":[0.92236805,0.0013724361,0.06988319,0.000047101763,0.00006129213,0.00016970701,0.000120053264,0.000038901762,0.0059394394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998646,0.000030254523,0.000006874343,0.0000309613,0.000052625775,0.000014560509],"domain_scores_gemma":[0.9999045,0.00003895713,0.0000235863,0.00000983122,0.000018640869,0.0000045357315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020724168,0.00052914344,0.0003571432,0.00024156629,0.00025010353,0.0005123138,0.00039468438,0.0003788215,0.0018756007],"category_scores_gemma":[0.0004419928,0.00018974979,0.0003178677,0.00022137754,0.00031222086,0.0003709244,0.0004171565,0.00060865807,0.000327893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067874375,0.000047793907,0.00034712395,0.0002705662,0.000024148858,0.00015813673,0.00018651281,0.85543495,0.050978113,0.01941851,0.0006776869,0.07238862],"study_design_scores_gemma":[0.000007680394,0.00010404223,0.00028086043,0.000009068464,0.000006845406,0.000031174233,0.000017504311,0.9911141,0.0029016805,0.002423861,0.0030959642,0.0000071809604],"about_ca_topic_score_codex":0.0044750455,"about_ca_topic_score_gemma":0.0032788026,"teacher_disagreement_score":0.0044750455,"about_ca_system_score_codex":0.0002738258,"about_ca_system_score_gemma":0.00032127358,"threshold_uncertainty_score":0.00889802},"labels":[],"label_agreement":null},{"id":"W2161892694","doi":"10.2514/6.2010-8052","title":"Fault Tolerant Control for Quad-rotor UAV by Employing Lyapunov-based Adaptive Control Approach","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Lyapunov function; Adaptive control; Actuator; Nonlinear system; Lyapunov stability; Rotor (electric); Control engineering; Computer science; Engineering; Control (management); Artificial intelligence","score_opus":0.011277964127981554,"score_gpt":0.22355835865644993,"score_spread":0.2122803945284684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161892694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04873078,0.000554357,0.9477747,0.00013551343,0.00009643519,0.000027032855,0.000013470533,0.0002310767,0.0024366563],"genre_scores_gemma":[0.970522,0.00027519377,0.027820837,0.000047965936,0.00003085534,0.000037332335,0.00002286393,0.000007973901,0.0012349101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99990976,0.0000170936,0.000007029713,0.000019543877,0.00003394774,0.000012583913],"domain_scores_gemma":[0.9998995,0.000021321755,0.000026135225,0.0000074511954,0.000039823193,0.0000058388364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001693221,0.00036473884,0.00026321824,0.00019834074,0.00020394337,0.00028750434,0.0004111561,0.00027253188,0.0004403529],"category_scores_gemma":[0.00028225276,0.00009714393,0.00020831486,0.00012641682,0.00023865113,0.00023065488,0.00029348923,0.00026453304,0.00007715824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010255912,0.000045558532,0.0013365705,0.00018376556,0.00006127952,0.00035770185,0.00024235481,0.8203221,0.058042757,0.0155892195,0.00085855153,0.10285761],"study_design_scores_gemma":[0.0000063701336,0.00008062536,0.00017651307,0.000003847495,0.0000063563643,0.00003132865,0.00000919324,0.9970271,0.0014129815,0.00066292216,0.0005784633,0.0000042395204],"about_ca_topic_score_codex":0.0027860897,"about_ca_topic_score_gemma":0.0017605342,"teacher_disagreement_score":0.0027860897,"about_ca_system_score_codex":0.00017703508,"about_ca_system_score_gemma":0.00026247694,"threshold_uncertainty_score":0.005539775},"labels":[],"label_agreement":null},{"id":"W2162211279","doi":"10.2514/6.2012-5049","title":"Relative Position-Based Visual Servoing Control for Quadrotors","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Visual servoing; Position (finance); Computer science; Computer vision; Artificial intelligence; Control (management); Control theory (sociology); Robot","score_opus":0.00870398673387723,"score_gpt":0.23236267031102603,"score_spread":0.2236586835771488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162211279","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080098875,0.0005754949,0.9131917,0.000074484626,0.00012566769,0.000037955615,0.00003916546,0.0010556665,0.0048009874],"genre_scores_gemma":[0.94515854,0.00014326378,0.05217778,0.000037763253,0.000023512272,0.000029820962,0.000046618232,0.00003929934,0.002343294],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987507,0.000018590754,0.000006202928,0.000040774354,0.000046536385,0.000012904042],"domain_scores_gemma":[0.9998722,0.000028756958,0.000032023847,0.000015998181,0.000039134455,0.000011849175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014105366,0.00030170713,0.00024643107,0.00014539696,0.00016384311,0.00024156216,0.0004174972,0.00020826243,0.00096146984],"category_scores_gemma":[0.00044640002,0.00013536529,0.00013035572,0.0001042181,0.00023524277,0.00027535812,0.00030704646,0.0002819811,0.0002723316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003538362,0.00009939957,0.0011118273,0.000338438,0.000050659466,0.00037057657,0.00024690785,0.29733953,0.36690378,0.010364856,0.002350245,0.32046995],"study_design_scores_gemma":[0.00006199552,0.00056500616,0.001709711,0.000017875836,0.00001542043,0.00023969231,0.000029486326,0.9591476,0.02870469,0.0024977715,0.0069845105,0.000026240343],"about_ca_topic_score_codex":0.0011578283,"about_ca_topic_score_gemma":0.0011419783,"teacher_disagreement_score":0.0011578283,"about_ca_system_score_codex":0.00017557958,"about_ca_system_score_gemma":0.00014127685,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2168903798","doi":"10.2514/6.2009-6185","title":"Robust Adaptive Reconfigurable Control for a Hypersonic Cruise Vehicle","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Cruise control; Cruise; Computer science; Hypersonic flight; Aeronautics; Adaptive control; Cruise missile; Aerospace engineering; Hypersonic speed; Control (management); Automotive engineering; Engineering; Artificial intelligence","score_opus":0.02283668937719215,"score_gpt":0.21427306762874754,"score_spread":0.19143637825155538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168903798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18859144,0.00025811058,0.80338377,0.00015207438,0.00007728504,0.00003179215,0.000024652618,0.00046502193,0.0070158164],"genre_scores_gemma":[0.98793566,0.000049516264,0.010630702,0.00002211921,0.000013401503,0.00002152328,0.000012965296,0.000007321244,0.0013067764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992263,0.000013766522,0.0000031094912,0.000021641798,0.000025654723,0.000013205908],"domain_scores_gemma":[0.9998715,0.00004087099,0.000039811446,0.000016827384,0.00002363384,0.000007354607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013690456,0.00041554353,0.00017079231,0.00014864546,0.00016688813,0.000343078,0.00042659827,0.00026859422,0.000490907],"category_scores_gemma":[0.00036338024,0.00012531206,0.00025815456,0.00008817915,0.00035008613,0.00017439261,0.000370052,0.0003369117,0.00009324209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014787722,0.000025639778,0.0004586764,0.000043864635,0.000037447127,0.00016997966,0.000049611044,0.8981063,0.042451005,0.0049340823,0.00035346384,0.05322211],"study_design_scores_gemma":[0.000010024015,0.000092436356,0.00023897341,0.000001745488,0.0000045977918,0.00002040537,0.00000565427,0.9966144,0.0020488559,0.000633199,0.00032530614,0.0000043544683],"about_ca_topic_score_codex":0.0024504971,"about_ca_topic_score_gemma":0.0020297233,"teacher_disagreement_score":0.0024504971,"about_ca_system_score_codex":0.00023423696,"about_ca_system_score_gemma":0.00020235716,"threshold_uncertainty_score":0.004872501},"labels":[],"label_agreement":null},{"id":"W2312336630","doi":"10.2514/6.2011-6295","title":"Persistent Tracking using Unmanned Aerial Vehicle: A Game Theory Method","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Guidance and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Tracking (education); Computer vision; Artificial intelligence; Game theory; Aeronautics; Engineering; Mathematics; Mathematical economics","score_opus":0.030668442690286783,"score_gpt":0.2423183256850244,"score_spread":0.2116498829947376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312336630","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005553218,0.0002745034,0.9874192,0.00022825836,0.000039501672,0.000054199263,0.000023714061,0.000033894074,0.0063734665],"genre_scores_gemma":[0.7680224,0.0015355832,0.21291505,0.00024094184,0.00015878893,0.000590568,0.00007796408,0.000039842267,0.016418915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962103,0.00017865142,0.000012405028,0.000054455108,0.0000919581,0.00004148265],"domain_scores_gemma":[0.9995504,0.0002736753,0.00005757214,0.00001715931,0.0000670992,0.000034139914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071262696,0.0009969415,0.0008445664,0.00054863974,0.00049194833,0.0010850477,0.0013118602,0.0012405625,0.002430656],"category_scores_gemma":[0.0010532676,0.00034317715,0.0008116033,0.00047124308,0.0010362782,0.0013154373,0.001051941,0.0013266286,0.00027853958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030238689,0.000065563756,0.00025447493,0.00009000748,0.00003866982,0.00015728663,0.00014920057,0.7907249,0.0014535077,0.18659997,0.001669404,0.018766804],"study_design_scores_gemma":[0.000008172401,0.000021461154,0.000032753793,0.000005790338,0.000004953933,0.000012618852,0.000017173212,0.98241305,0.00009490477,0.01670073,0.0006836572,0.0000048075694],"about_ca_topic_score_codex":0.0062535563,"about_ca_topic_score_gemma":0.0043009273,"teacher_disagreement_score":0.0062535563,"about_ca_system_score_codex":0.001297167,"about_ca_system_score_gemma":0.001148261,"threshold_uncertainty_score":0.012434363},"labels":[],"label_agreement":null},{"id":"W2312347036","doi":"10.2514/6.2009-6121","title":"Closed-loop control schemes for aeroservoelasticity studies","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Loop (graph theory); Control (management); Control theory (sociology); Mathematics; Artificial intelligence; Combinatorics","score_opus":0.01756474074570718,"score_gpt":0.26555314921293405,"score_spread":0.24798840846722686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312347036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02257125,0.000420965,0.97295886,0.00006782028,0.00013178939,0.000052914183,0.00002847388,0.00022787308,0.0035401646],"genre_scores_gemma":[0.91888857,0.00033464283,0.07615398,0.00004648163,0.000057800116,0.00016994281,0.00006037428,0.000044932083,0.00424329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997484,0.00008779872,0.000017868892,0.000037518097,0.00008617546,0.00002221634],"domain_scores_gemma":[0.99940145,0.00028851806,0.00006993659,0.00006191296,0.00016392484,0.0000142046465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007672445,0.0005191975,0.00048725458,0.0002866206,0.00040914735,0.000809526,0.0008046631,0.00072389044,0.0027509583],"category_scores_gemma":[0.0021735656,0.00024922445,0.00028457193,0.00029848787,0.0005182158,0.00077003735,0.000706975,0.00076273497,0.00026129195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004051355,0.000193685,0.00039622487,0.000414337,0.000056938236,0.00011364002,0.0003440238,0.7333823,0.020680679,0.049402118,0.0019688667,0.19264194],"study_design_scores_gemma":[0.000039300234,0.00014158712,0.00018577867,0.000013308931,0.000010018648,0.000014011405,0.0000104382325,0.9918172,0.0019770956,0.004376164,0.0014067004,0.000008393108],"about_ca_topic_score_codex":0.0018234773,"about_ca_topic_score_gemma":0.0016028625,"teacher_disagreement_score":0.0027509583,"about_ca_system_score_codex":0.00036094894,"about_ca_system_score_gemma":0.00034697313,"threshold_uncertainty_score":0.009202898},"labels":[],"label_agreement":null},{"id":"W2312382299","doi":"10.2514/6.2016-0365","title":"Handling Hidden Coupling Terms in Gain-Scheduling Control Design: Application to a Pitch-Axis Missile Autopilot<br />","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autopilot; Gain scheduling; Missile; Computer science; Automatic gain control; Control theory (sociology); Scheduling (production processes); Coupling (piping); Attitude control; Control (management); Engineering; Control engineering; Aerospace engineering; Artificial intelligence; Telecommunications","score_opus":0.012686594629973394,"score_gpt":0.22435541816546367,"score_spread":0.21166882353549027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312382299","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014267989,0.00006858861,0.9846384,0.00004745374,0.000025115372,0.000017695342,0.0000044820563,0.000096791504,0.0008334931],"genre_scores_gemma":[0.8697995,0.00013231853,0.12847185,0.00005583016,0.00003987643,0.000049707778,0.000015866379,0.00007225056,0.001362743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996381,0.000098314275,0.000018537312,0.000049062925,0.00015223814,0.00004367478],"domain_scores_gemma":[0.99847084,0.0009990379,0.00013696357,0.00009714756,0.0002434859,0.00005246108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013200049,0.00084429357,0.00056454365,0.0002601237,0.0005867643,0.0008241247,0.00071201124,0.0008678731,0.0014009225],"category_scores_gemma":[0.0036516972,0.0004785399,0.00042748245,0.00028739718,0.0006594019,0.0007404516,0.000861645,0.0014929824,0.00019060787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018154137,0.00007844068,0.0003002626,0.00008834054,0.000042241023,0.00010500428,0.00016130865,0.9288318,0.015292334,0.008382009,0.00026959757,0.046267048],"study_design_scores_gemma":[0.000008821806,0.00003540443,0.000038796778,0.0000038187145,0.0000071666555,0.0000069438224,0.000003391768,0.9979126,0.0011574302,0.00071643636,0.00010628225,0.000002980185],"about_ca_topic_score_codex":0.0036441581,"about_ca_topic_score_gemma":0.003941421,"teacher_disagreement_score":0.0036441581,"about_ca_system_score_codex":0.0003371077,"about_ca_system_score_gemma":0.00082573376,"threshold_uncertainty_score":0.0072458982},"labels":[],"label_agreement":null},{"id":"W2313181756","doi":"10.2514/6.2011-6399","title":"Active Flatness Fuzzy Logic Control of Space Membrane Structure","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Flatness (cosmology); Control theory (sociology); Fuzzy logic; Computer science; Fuzzy control system; Control engineering; Mathematics; Control (management); Artificial intelligence; Engineering; Physics","score_opus":0.009791814350438651,"score_gpt":0.19494793366189078,"score_spread":0.18515611931145212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313181756","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4848188,0.00020749045,0.50652826,0.00011031027,0.00008053019,0.00005851532,0.000032419346,0.0004308097,0.00773293],"genre_scores_gemma":[0.99261945,0.000022088801,0.0064227027,0.000011930467,0.000003485403,0.0000129870705,0.0000070729575,0.0000027547524,0.00089753023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987674,0.000017374023,0.0000049596297,0.000030832936,0.000045603305,0.000024387815],"domain_scores_gemma":[0.9998338,0.00004256163,0.000038648097,0.000012974587,0.000059048667,0.000012942727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023451766,0.0003161598,0.00017127927,0.0001439474,0.000231718,0.00037388454,0.00039672133,0.00025005202,0.0009769083],"category_scores_gemma":[0.00034205662,0.00010834784,0.00018694576,0.00008647507,0.00031121934,0.00020318932,0.0001926139,0.00024223076,0.00011343474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068006536,0.0001948959,0.0007730831,0.00018832074,0.000045621804,0.00028444143,0.00024067234,0.5738981,0.3113928,0.006683542,0.00057803706,0.10504047],"study_design_scores_gemma":[0.000039727416,0.00040452788,0.0007064444,0.0000066647012,0.000012359802,0.000024980967,0.000024593579,0.9769046,0.020434726,0.0008256706,0.0006066484,0.0000092054925],"about_ca_topic_score_codex":0.003296736,"about_ca_topic_score_gemma":0.0030932084,"teacher_disagreement_score":0.003296736,"about_ca_system_score_codex":0.0003470931,"about_ca_system_score_gemma":0.0002565166,"threshold_uncertainty_score":0.0065550804},"labels":[],"label_agreement":null},{"id":"W2314152244","doi":"10.2514/6.2011-6234","title":"Comparison of Relative Mean Orbital Element Estimation Methods for Spacecraft Formation Flying","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spacecraft; Pseudorange; Estimator; Kalman filter; Satellite; Control theory (sociology); Orbital maneuver; Orbital elements; Range (aeronautics); Noise (video); Computer science; Aerospace engineering; Physics; Mathematics; Engineering; Control (management)","score_opus":0.03295549721940732,"score_gpt":0.3206540320641569,"score_spread":0.28769853484474955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314152244","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06924427,0.0013221873,0.92716366,0.0000811141,0.00008761446,0.000032607455,0.00006310538,0.0008092986,0.0011960943],"genre_scores_gemma":[0.5286155,0.000898135,0.46721277,0.000053670024,0.00007476058,0.00008066435,0.00033933687,0.00014624897,0.0025789058],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990601,0.00026757683,0.00005224179,0.00013037406,0.0004392792,0.000050401635],"domain_scores_gemma":[0.997437,0.0015864224,0.00014964078,0.0002329788,0.00055498275,0.00003893199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018670443,0.00046694666,0.0005555697,0.00065571384,0.0002151953,0.00056657294,0.00081245025,0.00059953984,0.0012767732],"category_scores_gemma":[0.008259961,0.00027282073,0.0004217445,0.00039247348,0.00024095053,0.0009416708,0.0006016332,0.0005633222,0.0003597536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007822024,0.000107525186,0.003968658,0.00024188311,0.00019895198,0.000029842839,0.00020794208,0.28833127,0.015085594,0.0063939784,0.0010395037,0.68361264],"study_design_scores_gemma":[0.000028697217,0.0001528783,0.002375459,0.000015465228,0.000024368885,0.00004679992,0.000029076891,0.98825294,0.0070577418,0.0009578849,0.0010354737,0.00002315556],"about_ca_topic_score_codex":0.0034355824,"about_ca_topic_score_gemma":0.003370035,"teacher_disagreement_score":0.0034355824,"about_ca_system_score_codex":0.00029296338,"about_ca_system_score_gemma":0.00061431265,"threshold_uncertainty_score":0.009873986},"labels":[],"label_agreement":null},{"id":"W2314407746","doi":"10.2514/6.2010-7753","title":"Capture of Spinning Target with Space Manipulator using Magneto Rheological Damper","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Spinning; Damper; Manipulator (device); Space (punctuation); Magneto; Computer science; Physics; Materials science; Mechanical engineering; Structural engineering; Robot; Engineering; Artificial intelligence; Magnet","score_opus":0.007909448670752791,"score_gpt":0.20364724902872983,"score_spread":0.19573780035797703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314407746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5864227,0.0004603678,0.4075784,0.00013705679,0.00006719419,0.00007065037,0.000031355667,0.00062838494,0.0046040313],"genre_scores_gemma":[0.9733393,0.000073133626,0.024567185,0.000020639387,0.0000073946007,0.000019485466,0.000014420272,0.0000063472767,0.0019519886],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993193,0.000009689375,0.000002692811,0.000014660939,0.00003070093,0.000010212511],"domain_scores_gemma":[0.99990165,0.00002307491,0.000030931136,0.000019618976,0.000012511989,0.000012229073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016392532,0.00028215887,0.00019262327,0.00014900902,0.00022036649,0.00019310304,0.00034156424,0.00026799107,0.00089375215],"category_scores_gemma":[0.00021093918,0.000112347814,0.00018108853,0.000068224086,0.00021791436,0.000291043,0.00040528525,0.00018355026,0.00014954693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002633354,0.000067678964,0.0011043084,0.0001461021,0.000023616072,0.00041606923,0.00033198626,0.04716301,0.9104119,0.002759626,0.00034504273,0.03696741],"study_design_scores_gemma":[0.00009716085,0.0017010737,0.0030037062,0.000022740229,0.00003144326,0.0005002519,0.00009702604,0.7519519,0.23444855,0.0008727973,0.0072276364,0.000045727596],"about_ca_topic_score_codex":0.0005103776,"about_ca_topic_score_gemma":0.0005994233,"teacher_disagreement_score":0.00089375215,"about_ca_system_score_codex":0.00009826512,"about_ca_system_score_gemma":0.00013108816,"threshold_uncertainty_score":0.0029898882},"labels":[],"label_agreement":null},{"id":"W2314954157","doi":"10.2514/6.2012-4917","title":"Direct Adaptive Feedback Linearization for Quadrotor Control","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Feedback linearization; Control theory (sociology); Computer science; Adaptive control; Control (management); Linearization; Feedback control; Control engineering; Nonlinear system; Engineering; Artificial intelligence; Physics","score_opus":0.016118555220515328,"score_gpt":0.2301671072102436,"score_spread":0.21404855198972828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314954157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075070825,0.0009034662,0.9806801,0.00012474279,0.00009626148,0.00003247352,0.000021695165,0.000349875,0.010284296],"genre_scores_gemma":[0.9007399,0.0010152097,0.0827835,0.00016308953,0.00010928281,0.00011142951,0.00007093814,0.00003973255,0.014966879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999323,0.00001575876,0.0000023531222,0.000016917456,0.000026957397,0.0000057054854],"domain_scores_gemma":[0.9999653,0.000013080548,0.000004969075,0.0000037727957,0.000010560321,0.0000021884925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010740148,0.00033808188,0.00018313523,0.00011970914,0.00016249344,0.00025841582,0.00025732667,0.0002258789,0.0026453692],"category_scores_gemma":[0.000199189,0.00010059258,0.00014353785,0.00009273975,0.00020743681,0.00019253272,0.00027677178,0.0004064828,0.0004474404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011570363,0.000072345974,0.0006313124,0.0005668589,0.000065835964,0.00035549322,0.00025790822,0.50344163,0.09661336,0.07146755,0.00749047,0.3189215],"study_design_scores_gemma":[0.000018022818,0.00015491908,0.00029369892,0.000021058595,0.000007969209,0.000074159354,0.000019997788,0.9749051,0.0043128766,0.0067634294,0.013418283,0.000010538355],"about_ca_topic_score_codex":0.0019084105,"about_ca_topic_score_gemma":0.0022770185,"teacher_disagreement_score":0.0026453692,"about_ca_system_score_codex":0.00023152167,"about_ca_system_score_gemma":0.00022074417,"threshold_uncertainty_score":0.00884968},"labels":[],"label_agreement":null},{"id":"W2315030797","doi":"10.2514/6.2012-5002","title":"Control Allocation of Solar Sail Tip Vanes with Two Degrees of Freedom using Elliptical Constraints","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Solar sail; Aerospace engineering; Degrees of freedom (physics and chemistry); Physics; Computer science; Astrobiology; Control (management); Meteorology; Control theory (sociology); Engineering; Propulsion; Artificial intelligence","score_opus":0.009732428518790406,"score_gpt":0.21731577745894975,"score_spread":0.20758334894015934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315030797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13532837,0.0002481204,0.85071915,0.00018675887,0.00006267833,0.00008675955,0.0000512599,0.00016406953,0.013152793],"genre_scores_gemma":[0.97632456,0.0000725156,0.020114778,0.000021435468,0.000013745689,0.00006250002,0.00002495357,0.000016136082,0.0033494087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977237,0.0000624198,0.000008166422,0.00004089844,0.000048567683,0.0000674356],"domain_scores_gemma":[0.99974686,0.00009649909,0.00004118869,0.000022971903,0.000053354812,0.00003909117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003950615,0.0006160872,0.0006009899,0.00037545685,0.00034978206,0.00095662335,0.00057354337,0.0005818626,0.002552082],"category_scores_gemma":[0.0007985408,0.00033777973,0.0003263866,0.0002965511,0.00062574854,0.00054276484,0.0010166329,0.00045091243,0.00027700939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012970915,0.000030829848,0.00039881017,0.000053253043,0.000015933036,0.000085465086,0.00006795318,0.9639067,0.005553926,0.0061687105,0.0004601074,0.023128629],"study_design_scores_gemma":[0.000017172057,0.00006419915,0.00010923393,0.0000040770406,0.000003002743,0.0000117504305,0.00003300336,0.99669814,0.00074451795,0.0015249617,0.0007845537,0.000005417436],"about_ca_topic_score_codex":0.002654617,"about_ca_topic_score_gemma":0.0020063464,"teacher_disagreement_score":0.002654617,"about_ca_system_score_codex":0.0003129832,"about_ca_system_score_gemma":0.00041776893,"threshold_uncertainty_score":0.0085375905},"labels":[],"label_agreement":null},{"id":"W2315522507","doi":"10.2514/6.2011-6716","title":"Fault/Damage Tolerant Control of a Quadrotor Helicopter UAV using Model Reference Adaptive Control and Gain-Scheduled PID","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Control theory (sociology); PID controller; Fault tolerance; Computer science; Control engineering; Adaptive control; Control (management); Reference model; Engineering; Temperature control; Artificial intelligence","score_opus":0.04189295048308855,"score_gpt":0.23807407649534157,"score_spread":0.19618112601225302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315522507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38458478,0.00046753333,0.60934865,0.00018562145,0.00014122896,0.00008409418,0.00003556153,0.0008692678,0.0042831567],"genre_scores_gemma":[0.98747265,0.000047084905,0.011834684,0.000018706694,0.0000065770278,0.000015082328,0.000012134396,0.000005047333,0.00058802887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998869,0.00001705073,0.000006242025,0.000030217856,0.000044933666,0.000014670558],"domain_scores_gemma":[0.9998394,0.000032515487,0.000048259604,0.000022517148,0.00004516201,0.000012047735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019575065,0.00040758576,0.00021880004,0.0001343685,0.00017481783,0.00032947387,0.00029733728,0.0002226334,0.00047991122],"category_scores_gemma":[0.0003346536,0.000087470136,0.00015982061,0.00007170543,0.00021308473,0.00018310398,0.00017727578,0.0002764126,0.00008682045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005731027,0.00017790313,0.0021385239,0.00020773799,0.00007563104,0.00051884644,0.000219419,0.53173983,0.3043527,0.0027243346,0.00071884785,0.15655313],"study_design_scores_gemma":[0.00004162673,0.00063614995,0.0015388032,0.000006045069,0.000018731582,0.000117239884,0.000021528216,0.9752584,0.02106405,0.00031170188,0.0009750299,0.000010736841],"about_ca_topic_score_codex":0.0021423032,"about_ca_topic_score_gemma":0.0018032874,"teacher_disagreement_score":0.0021423032,"about_ca_system_score_codex":0.00016313895,"about_ca_system_score_gemma":0.00018290873,"threshold_uncertainty_score":0.0042597055},"labels":[],"label_agreement":null},{"id":"W2316058011","doi":"10.2514/6.2009-6292","title":"Formation Flying Hardware-in-the-Loop Simulation Using a Cold-Gas Thruster","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Thrust; Spacecraft; Solenoid valve; Aerospace engineering; Hardware-in-the-loop simulation; Nozzle; Controller (irrigation); Actuator; Simulation; Engineering; Computer science; Control theory (sociology); Mechanical engineering; Electrical engineering; Control (management)","score_opus":0.020249479358563402,"score_gpt":0.260760258169937,"score_spread":0.24051077881137356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316058011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9590525,0.000051185663,0.032816038,0.00012672874,0.000025894968,0.00006845845,0.00018357686,0.00032419793,0.007351444],"genre_scores_gemma":[0.9940744,0.000021484424,0.004682105,0.000013770567,0.0000017008184,0.000037205118,0.00006637566,0.000010326917,0.0010926295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998989,0.000023925197,0.000004103433,0.000015824284,0.00002923024,0.000028047278],"domain_scores_gemma":[0.9995876,0.00024306902,0.0000344928,0.000025943786,0.00007105164,0.0000379334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021512636,0.0002793414,0.00040131382,0.00022344725,0.00044371348,0.0004555108,0.0006490821,0.0007160034,0.0024359412],"category_scores_gemma":[0.0006522245,0.00016111783,0.00036024355,0.00016426454,0.00045203845,0.00030578912,0.0003927514,0.0004449668,0.00012515801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055180066,0.000035597717,0.000888862,0.000018794279,0.000008315022,0.000057674937,0.000037472466,0.99594563,0.0014095394,0.00046887022,0.000057506597,0.0010165509],"study_design_scores_gemma":[0.000023929828,0.000054356333,0.00028815612,0.0000012543786,0.000003900358,0.000006019387,0.000016348476,0.99880564,0.00060993887,0.000093203904,0.00009454606,0.0000027260091],"about_ca_topic_score_codex":0.018264009,"about_ca_topic_score_gemma":0.007894419,"teacher_disagreement_score":0.018264009,"about_ca_system_score_codex":0.0005004119,"about_ca_system_score_gemma":0.0007490698,"threshold_uncertainty_score":0.03631538},"labels":[],"label_agreement":null},{"id":"W2316091897","doi":"10.2514/6.2012-4456","title":"Nonlinear Optimal Control of Holomonic Indoor Airship","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Nonlinear system; Control (management); Computer science; Aerospace engineering; Control theory (sociology); Environmental science; Engineering; Physics; Artificial intelligence","score_opus":0.008009093984874819,"score_gpt":0.2013119861757075,"score_spread":0.1933028921908327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316091897","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32685155,0.0004973194,0.6359469,0.0004013321,0.00023169123,0.0000528854,0.00006694043,0.00019629998,0.03575506],"genre_scores_gemma":[0.99103993,0.0000631371,0.0033747286,0.000024048299,0.000018794823,0.000017191102,0.000014968541,0.000008220879,0.0054390123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989057,0.000023192577,0.0000023119444,0.000024292978,0.000023874602,0.00003585308],"domain_scores_gemma":[0.9998673,0.00003643032,0.000029939598,0.000007823815,0.00003914957,0.000019382254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023133743,0.0004950263,0.00047035387,0.00019829553,0.00041014003,0.00064342096,0.0004198544,0.00047602446,0.0015723326],"category_scores_gemma":[0.00047015416,0.00025223024,0.0002178861,0.00015543583,0.0006122604,0.00027621794,0.0008630711,0.00043105445,0.00018415136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015279767,0.00003680272,0.00038229176,0.000044255343,0.000021392812,0.000053272994,0.00007539368,0.97169995,0.0059406688,0.00703496,0.0006438921,0.013914339],"study_design_scores_gemma":[0.000009185287,0.000041102718,0.00021764354,0.0000017616151,0.0000028546426,0.000003598266,0.000012406638,0.9985501,0.0003023027,0.00061945437,0.000236406,0.0000032588546],"about_ca_topic_score_codex":0.01104619,"about_ca_topic_score_gemma":0.01044349,"teacher_disagreement_score":0.01104619,"about_ca_system_score_codex":0.0004893666,"about_ca_system_score_gemma":0.00058867666,"threshold_uncertainty_score":0.021963835},"labels":[],"label_agreement":null},{"id":"W2316923778","doi":"10.2514/6.2016-0082","title":"The Influence of Control Surface Faults on Flexible Aircraft","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control (management); Surface (topology); Aerospace engineering; Computer science; Materials science; Automotive engineering; Engineering; Artificial intelligence","score_opus":0.006287469769828964,"score_gpt":0.20703821758433055,"score_spread":0.20075074781450158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316923778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99416006,0.000110211084,0.0024378079,0.00009182943,0.00003768766,0.0000039137517,0.000045337118,0.000042278716,0.0030709063],"genre_scores_gemma":[0.99977,0.000015499978,0.00004434125,0.000002314668,0.0000034605018,3.9464146e-7,0.000010360957,0.000003873575,0.0001498528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978906,0.000041630767,0.0000064651977,0.000023210154,0.000053868716,0.000085803535],"domain_scores_gemma":[0.9971929,0.0019827113,0.00018890432,0.00012355256,0.00036009468,0.00015184419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027108533,0.00034251346,0.00032406088,0.000422317,0.000401482,0.00061383774,0.00023942307,0.0006598652,0.002240188],"category_scores_gemma":[0.0047869617,0.00014224564,0.00025926996,0.00022336651,0.0007119132,0.0004247366,0.00027530064,0.00035788963,0.00014894779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036158005,0.00025149135,0.019400429,0.00011263115,0.000089833185,0.0021222671,0.00014610178,0.9057577,0.036350872,0.0026023563,0.0011341319,0.028416393],"study_design_scores_gemma":[0.000064303276,0.00048281788,0.06179829,0.000009969469,0.00006536769,0.00022946426,0.0002398576,0.9255021,0.009968818,0.0013256287,0.00028700574,0.000026336784],"about_ca_topic_score_codex":0.010415262,"about_ca_topic_score_gemma":0.0051852195,"teacher_disagreement_score":0.010415262,"about_ca_system_score_codex":0.0004930092,"about_ca_system_score_gemma":0.00023843597,"threshold_uncertainty_score":0.020709276},"labels":[],"label_agreement":null},{"id":"W2317284385","doi":"10.2514/6.2014-0976","title":"Scan registration using Region-growing clustering NDT","year":2014,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nondestructive testing; Cluster analysis; Computer science; Artificial intelligence; Image registration; Computer vision; Physics; Image (mathematics)","score_opus":0.014078974410308146,"score_gpt":0.21311283957889238,"score_spread":0.19903386516858423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317284385","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062532458,0.0001551927,0.9884765,0.00008270709,0.00006309257,0.00011736834,0.00023355221,0.0031628676,0.0014555568],"genre_scores_gemma":[0.088338755,0.0002049724,0.90413374,0.000076441094,0.000045959037,0.00019833799,0.001387606,0.0012578325,0.004356401],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813277,0.00023829303,0.00011567304,0.0006323637,0.00072617177,0.00015480182],"domain_scores_gemma":[0.99830806,0.00023887806,0.00018104227,0.0005784177,0.00064345205,0.000050186103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054803,0.0011691209,0.0014985772,0.0040357388,0.001161791,0.002011545,0.0024955287,0.0018786319,0.0041860943],"category_scores_gemma":[0.0038363868,0.0011298438,0.0019866186,0.003990339,0.00080110127,0.0020041096,0.0022037295,0.0015534475,0.00476087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003919673,0.00017623918,0.002235214,0.0002697847,0.00021373051,0.00024251567,0.000275301,0.12254509,0.08029083,0.0067573003,0.009017853,0.7775842],"study_design_scores_gemma":[0.000023761795,0.000073503805,0.0011891882,0.000017695336,0.000055503697,0.00029556284,0.00007752141,0.93714553,0.045817625,0.0041831173,0.011061612,0.000059353442],"about_ca_topic_score_codex":0.01062436,"about_ca_topic_score_gemma":0.015479184,"teacher_disagreement_score":0.01062436,"about_ca_system_score_codex":0.0009964738,"about_ca_system_score_gemma":0.0029228912,"threshold_uncertainty_score":0.021125019},"labels":[],"label_agreement":null},{"id":"W2317473367","doi":"10.2514/6.2011-6222","title":"Static Soaring Surveillance in the Wind Field","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Field (mathematics); Wind power; Environmental science; Computer science; Meteorology; Aerospace engineering; Marine engineering; Aeronautics; Engineering; Electrical engineering; Physics","score_opus":0.011941384508286287,"score_gpt":0.20001914464233683,"score_spread":0.18807776013405053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317473367","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47589946,0.0010638118,0.5051358,0.00018299837,0.000092477196,0.00008579391,0.00006846619,0.00026121418,0.017209988],"genre_scores_gemma":[0.9731426,0.00018531659,0.02457304,0.000029204855,0.00001532694,0.000014913948,0.000037633657,0.000009089748,0.0019929013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999337,0.000015329066,0.0000022806666,0.000015993077,0.000018348694,0.000014335432],"domain_scores_gemma":[0.9998803,0.000042063435,0.000024634655,0.000011979506,0.000018754181,0.000022299662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017703474,0.0003673629,0.0003491963,0.00021993576,0.00028793776,0.00037533106,0.00034653296,0.00032599323,0.0007481905],"category_scores_gemma":[0.0002823825,0.0001474156,0.0002342488,0.00017455182,0.00039335186,0.000682524,0.000327387,0.00026971384,0.00009699241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012401812,0.00008041473,0.0016558775,0.00006540533,0.00003607323,0.00027669244,0.00007188099,0.9014161,0.030546589,0.012694752,0.00072982005,0.052302394],"study_design_scores_gemma":[0.000008413538,0.00007838508,0.00041579534,0.000002129994,0.000004235546,0.000025870952,0.000014218721,0.9968546,0.0008599985,0.0013335608,0.00039825015,0.000004640437],"about_ca_topic_score_codex":0.0035789981,"about_ca_topic_score_gemma":0.0034951083,"teacher_disagreement_score":0.0035789981,"about_ca_system_score_codex":0.00030195434,"about_ca_system_score_gemma":0.00030706986,"threshold_uncertainty_score":0.0071163177},"labels":[],"label_agreement":null},{"id":"W2318372231","doi":"10.2514/6.2014-1290","title":"Admissible Subspace TRajectory Optimizer (ASTRO) for Autonomous Robot Operations on the Space Station","year":2014,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Johnson Space Center; Natural Sciences and Engineering Research Council of Canada; Marshall Space Flight Center; U.S. Department of Defense","keywords":"Trajectory; Subspace topology; Robot; Computer science; Space (punctuation); Mobile robot; Artificial intelligence; Mathematical optimization; Mathematics; Physics","score_opus":0.011121702862335959,"score_gpt":0.21335839565239123,"score_spread":0.20223669279005527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318372231","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051587024,0.0001172486,0.99237144,0.00005303651,0.0000143161915,0.00003389791,0.00002863966,0.0002646086,0.0019580654],"genre_scores_gemma":[0.39530793,0.00040774324,0.59786785,0.000060411672,0.00004615164,0.00036527967,0.00025626857,0.00020864172,0.0054797204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998129,0.00007393496,0.0000075711855,0.000025204889,0.00006715966,0.000013203311],"domain_scores_gemma":[0.9998258,0.00007709397,0.000030379002,0.000014202643,0.000039853006,0.0000128130805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004668861,0.00057197275,0.00041236886,0.0002907066,0.00034094497,0.00043177328,0.0003584831,0.0004506838,0.0016328853],"category_scores_gemma":[0.000825002,0.00025677204,0.00031525863,0.00041062656,0.0004176061,0.0004298718,0.0005105632,0.00086980074,0.00040655257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000336543,0.000021578018,0.00020173872,0.000048276663,0.000016902299,0.000023754234,0.00004115134,0.9130069,0.0022524185,0.023326954,0.0011163782,0.059910327],"study_design_scores_gemma":[0.0000031566483,0.000023029992,0.00004040776,0.000002716052,0.0000017857274,0.0000047747776,0.000004677475,0.9961116,0.00034526447,0.0024586665,0.0010016456,0.000002358698],"about_ca_topic_score_codex":0.004861845,"about_ca_topic_score_gemma":0.005386493,"teacher_disagreement_score":0.004861845,"about_ca_system_score_codex":0.00046732047,"about_ca_system_score_gemma":0.00135656,"threshold_uncertainty_score":0.009667039},"labels":[],"label_agreement":null},{"id":"W2318643298","doi":"10.2514/6.2011-6233","title":"Analytical Nonlinear Controller State-Order-Reduction Applied to Satellite Formation Flying","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reduction (mathematics); Nonlinear system; Control theory (sociology); Satellite; Controller (irrigation); Computer science; State (computer science); Aerospace engineering; Engineering; Mathematics; Physics; Algorithm; Control (management); Artificial intelligence","score_opus":0.0240673947094493,"score_gpt":0.2223917148598409,"score_spread":0.19832432015039161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318643298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031576097,0.00064637506,0.94908166,0.00017148137,0.0001155902,0.00008670758,0.00003771177,0.00068009645,0.01760437],"genre_scores_gemma":[0.8841341,0.0006089126,0.108358756,0.000045003315,0.00003562494,0.00009591601,0.00006267308,0.000066723165,0.006592274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998883,0.000022954542,0.0000040461573,0.0000083755685,0.0000668926,0.000009406207],"domain_scores_gemma":[0.99990296,0.000034610726,0.000014318445,0.00001363187,0.00003076742,0.0000037005914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002307211,0.00029309187,0.0003124889,0.00019264658,0.00031454352,0.0003540561,0.0003666088,0.000260528,0.0016013599],"category_scores_gemma":[0.0006335624,0.00015386667,0.00025549484,0.00017759607,0.00029841758,0.00020970307,0.00024970443,0.0004205953,0.00027587713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042424585,0.000031726915,0.00016143326,0.00013626051,0.000013517542,0.00009531605,0.00011802973,0.91659755,0.0168277,0.017496642,0.0008425216,0.047636885],"study_design_scores_gemma":[0.0000043459704,0.000020076006,0.00003912575,0.0000031036477,0.0000019375439,0.000010157775,0.0000050021954,0.99623775,0.0017120942,0.0011181554,0.0008455749,0.000002586521],"about_ca_topic_score_codex":0.0061333375,"about_ca_topic_score_gemma":0.0047076084,"teacher_disagreement_score":0.0061333375,"about_ca_system_score_codex":0.00045501455,"about_ca_system_score_gemma":0.00060878455,"threshold_uncertainty_score":0.012195289},"labels":[],"label_agreement":null},{"id":"W2318823046","doi":"10.2514/6.2011-6297","title":"Control Strategies for Flexible Joint Manipulators","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Joint (building); Computer science; Control theory (sociology); Control (management); Control engineering; Engineering; Artificial intelligence; Structural engineering","score_opus":0.02689241527164569,"score_gpt":0.2149551252689992,"score_spread":0.18806270999735353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318823046","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023552489,0.0006462166,0.9675312,0.00011766729,0.000057957957,0.000051295585,0.00001196596,0.00019241596,0.007838729],"genre_scores_gemma":[0.92376965,0.000644559,0.06870808,0.0000717789,0.000068297726,0.00014087092,0.00003402029,0.00001888843,0.006543891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998702,0.000023010238,0.000006732617,0.000026502306,0.000060462,0.000013232974],"domain_scores_gemma":[0.99982977,0.000060670493,0.000038449936,0.00001131674,0.000048417394,0.0000113403785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028444472,0.0005766092,0.00031284153,0.00032636357,0.00032403122,0.0005567152,0.00051159697,0.0005158411,0.0016971334],"category_scores_gemma":[0.00060939556,0.00014722005,0.0002776352,0.00020626764,0.0005354043,0.00046106958,0.0006050605,0.0005132728,0.00023796811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007110048,0.000052206287,0.0002621548,0.00021453582,0.000029399353,0.000285785,0.0003135043,0.79779136,0.02284276,0.06335986,0.0011692399,0.1136081],"study_design_scores_gemma":[0.000026868374,0.00018895944,0.00018497606,0.000014855258,0.000006689088,0.00006218932,0.0000376845,0.9825065,0.0013223652,0.012281096,0.0033581147,0.000009686951],"about_ca_topic_score_codex":0.0016544533,"about_ca_topic_score_gemma":0.0013212916,"teacher_disagreement_score":0.0016971334,"about_ca_system_score_codex":0.00029075317,"about_ca_system_score_gemma":0.00029554713,"threshold_uncertainty_score":0.0056774616},"labels":[],"label_agreement":null},{"id":"W2319004902","doi":"10.2514/6.2012-4916","title":"Investigation, Flight Testing, and Comparison of Three Nonlinear Control Techniques with Application to a Quadrotor Unmanned Aerial Vehicle","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Backstepping; Sliding mode control; Control theory (sociology); Feedback linearization; Control engineering; Controller (irrigation); Nonlinear system; Attitude control; Nonlinear control; Engineering; Computer science; Control system; Linearization; Control (management); Adaptive control; Artificial intelligence","score_opus":0.020137147543688238,"score_gpt":0.2456052712801912,"score_spread":0.22546812373650296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319004902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95397115,0.00049224304,0.04172015,0.00010559899,0.00005034068,0.0001499638,0.000051494197,0.00017216307,0.0032868336],"genre_scores_gemma":[0.9851422,0.0002383047,0.013675281,0.000022333354,0.000004346376,0.000034423992,0.000040842093,0.000007613404,0.0008347757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971384,0.000055398086,0.00002297855,0.000046305293,0.00013335803,0.000028122404],"domain_scores_gemma":[0.9994319,0.00014044828,0.000092596245,0.00008464725,0.00022328821,0.00002714234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004051431,0.00039193843,0.00021721632,0.0003869763,0.0002896658,0.0002601929,0.0003654137,0.0003005742,0.00065857003],"category_scores_gemma":[0.0007330407,0.00010760045,0.00021878292,0.00017479167,0.0002720996,0.00028858718,0.00022839906,0.00021180414,0.00007941299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011125628,0.00069160556,0.010421925,0.0013123053,0.00012697405,0.00076394505,0.00061353843,0.06583798,0.7168858,0.0009834262,0.00044585287,0.20080398],"study_design_scores_gemma":[0.00019239858,0.018222027,0.033779807,0.00007152999,0.00016731174,0.00076491537,0.0006522853,0.29559398,0.6449502,0.00034092035,0.005181109,0.00008351115],"about_ca_topic_score_codex":0.0023308562,"about_ca_topic_score_gemma":0.0029050023,"teacher_disagreement_score":0.0023308562,"about_ca_system_score_codex":0.00021995067,"about_ca_system_score_gemma":0.0002321282,"threshold_uncertainty_score":0.004634559},"labels":[],"label_agreement":null},{"id":"W2319069892","doi":"10.2514/6.2011-6294","title":"Prognostics-enhanced Receding Horizon Mission Planning for Field Unmanned Vehicles","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Prognostics; Field (mathematics); Computer science; Horizon; Aerospace engineering; Aeronautics; Engineering; Physics","score_opus":0.04299454466691423,"score_gpt":0.27476240984943495,"score_spread":0.23176786518252074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319069892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033301644,0.00030186537,0.96304286,0.00017190554,0.0000323792,0.00007393882,0.00011602518,0.0007271872,0.0022321576],"genre_scores_gemma":[0.86463726,0.00018922513,0.13358563,0.00003498444,0.000014085553,0.0000904557,0.00017873221,0.000032481985,0.0012370647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997992,0.000040557192,0.00001177891,0.000049470516,0.00006116447,0.000037914233],"domain_scores_gemma":[0.99963045,0.0001457386,0.00006633506,0.000029003693,0.00009542151,0.000032981945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042769624,0.0005416431,0.0004984796,0.00036558756,0.00028255404,0.00041418345,0.0006704566,0.00035123882,0.001286012],"category_scores_gemma":[0.0010613872,0.0003055452,0.00033345676,0.00034180318,0.0003523882,0.0006029736,0.0005298702,0.0006007556,0.00014407469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004915956,0.00001688072,0.00035469528,0.000035339013,0.000006761055,0.00004531076,0.00003771805,0.9668455,0.0012176106,0.002188857,0.00032240935,0.028879752],"study_design_scores_gemma":[0.0000058269475,0.000030733645,0.00008256066,0.000002880628,0.0000018501452,0.0000064352507,0.000008241328,0.99796355,0.00029470483,0.0013106345,0.00029028504,0.000002298234],"about_ca_topic_score_codex":0.01724567,"about_ca_topic_score_gemma":0.011303646,"teacher_disagreement_score":0.01724567,"about_ca_system_score_codex":0.0008551075,"about_ca_system_score_gemma":0.0013581979,"threshold_uncertainty_score":0.03429061},"labels":[],"label_agreement":null},{"id":"W2319119102","doi":"10.2514/6.2010-8147","title":"Vibration Suppression of Flexible Manipulator by Combining Modified Input Shaping and Adaptive Positive Position Feedback Control","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Control theory (sociology); Vibration; Position (finance); Vibration control; Input shaping; Manipulator (device); Feedback control; Computer science; Control engineering; Adaptive control; Control (management); Engineering; Robot; Artificial intelligence; Physics; Acoustics","score_opus":0.009383436768152299,"score_gpt":0.21008513878512994,"score_spread":0.20070170201697765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319119102","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0464437,0.00022120764,0.95077294,0.000048591945,0.000026697078,0.00001805333,0.0000047810113,0.0003073124,0.002156746],"genre_scores_gemma":[0.89870447,0.0001385142,0.099062234,0.00004797113,0.000034750723,0.000049119182,0.000019347997,0.00001747806,0.0019263022],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988973,0.000018146913,0.0000056981576,0.000023912866,0.0000512889,0.000011194404],"domain_scores_gemma":[0.9998841,0.00003982725,0.000026503283,0.0000137221605,0.000028399889,0.0000075002667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016611132,0.00040731346,0.00022509675,0.00016878564,0.00014068924,0.00017422574,0.00046573643,0.00028162537,0.0005085415],"category_scores_gemma":[0.00027368436,0.00013122836,0.00021815613,0.00013140404,0.00025062892,0.00022419139,0.00030735251,0.00023666077,0.00011468311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019524629,0.00008500388,0.00086916715,0.0001468528,0.000047508147,0.0004000446,0.00017125881,0.22305134,0.5019407,0.009083504,0.0006433638,0.26336598],"study_design_scores_gemma":[0.000033949356,0.0005671873,0.0008783789,0.0000113622655,0.000020341378,0.00021111553,0.000013840403,0.96381086,0.030569062,0.0018841355,0.0019823743,0.000017339402],"about_ca_topic_score_codex":0.00040731035,"about_ca_topic_score_gemma":0.00054469303,"teacher_disagreement_score":0.0005085415,"about_ca_system_score_codex":0.00011066583,"about_ca_system_score_gemma":0.0001635213,"threshold_uncertainty_score":0.0017012358},"labels":[],"label_agreement":null},{"id":"W2319263640","doi":"10.2514/6.2012-4682","title":"Planning under Uncertainty using Bayesian Nonparametric Models","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Naval Research; Multidisciplinary University Research Initiative","keywords":"Nonparametric statistics; Computer science; Bayesian probability; Measurement uncertainty; Artificial intelligence; Econometrics; Machine learning; Statistics; Mathematics","score_opus":0.03233562728791778,"score_gpt":0.27475064870632887,"score_spread":0.2424150214184111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319263640","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009940066,0.0005960906,0.9849,0.00052137236,0.000026322004,0.000026224461,0.00018200172,0.00020644494,0.0036015096],"genre_scores_gemma":[0.81986415,0.0022727612,0.17043488,0.00018830589,0.0001917913,0.0003481557,0.00068261405,0.000119931254,0.005897501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805605,0.001027287,0.000076361604,0.0002496593,0.00042890554,0.00016178183],"domain_scores_gemma":[0.99251854,0.006023535,0.00057566445,0.0003180511,0.0004148659,0.00014944305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031622446,0.00077718345,0.0014266424,0.0012690477,0.0006455536,0.0021751286,0.0018628413,0.0015467958,0.0024046288],"category_scores_gemma":[0.013961185,0.0009308662,0.0009758296,0.0018079258,0.0017064511,0.0030410702,0.0016171602,0.0020019666,0.00039616332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022412489,0.000011568339,0.00031089477,0.000030522257,0.000021795058,0.000033418153,0.000036576515,0.9307882,0.0000570083,0.057860084,0.00047007206,0.010357433],"study_design_scores_gemma":[0.0000058389874,0.000005702705,0.00006434521,0.000008943646,0.000004064183,0.000007741276,0.0000061321407,0.9347908,0.000027142592,0.06461298,0.0004590014,0.000007285396],"about_ca_topic_score_codex":0.016435174,"about_ca_topic_score_gemma":0.014039612,"teacher_disagreement_score":0.016435174,"about_ca_system_score_codex":0.0018481384,"about_ca_system_score_gemma":0.0019591788,"threshold_uncertainty_score":0.03267902},"labels":[],"label_agreement":null},{"id":"W2319859550","doi":"10.2514/6.2009-6162","title":"Active Vibration Control Using Adaptive Positive Position Feedback","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Control theory (sociology); Feedback control; Vibration; Computer science; Position (finance); Adaptive control; Position paper; Vibration control; Control (management); Active vibration control; Control engineering; Artificial intelligence; Engineering; Acoustics; Physics","score_opus":0.0076794504509388505,"score_gpt":0.20852935135412437,"score_spread":0.20084990090318552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319859550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011587607,0.00029065314,0.9843635,0.000071251474,0.00007374496,0.00003065072,0.000008060189,0.00031790667,0.0032566313],"genre_scores_gemma":[0.90420866,0.00033413706,0.08815049,0.00009995226,0.0000857308,0.00015001207,0.000028275223,0.000022333224,0.0069204546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983346,0.000024789111,0.0000060045227,0.000043944463,0.00007497402,0.00001680293],"domain_scores_gemma":[0.9998319,0.000068432484,0.000037512076,0.000013113711,0.00004001801,0.000008953202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021542974,0.0005923587,0.00030818908,0.00025680778,0.0002569932,0.0003700439,0.0010898971,0.00052742485,0.0017783603],"category_scores_gemma":[0.00034114718,0.00020592414,0.00027599419,0.00018668392,0.00048317158,0.00038119775,0.00051846507,0.00051365775,0.0002875438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020092468,0.00014155192,0.00045866234,0.0003354922,0.0000703625,0.00046435266,0.00019556141,0.45515883,0.14420472,0.020643832,0.0028947105,0.375231],"study_design_scores_gemma":[0.000023256414,0.00033009503,0.00022058129,0.000008887484,0.0000092025775,0.000076399556,0.000006276822,0.99104965,0.0049958983,0.0014507785,0.0018189318,0.000010003929],"about_ca_topic_score_codex":0.0010730006,"about_ca_topic_score_gemma":0.0011864654,"teacher_disagreement_score":0.0017783603,"about_ca_system_score_codex":0.00027554668,"about_ca_system_score_gemma":0.0002084253,"threshold_uncertainty_score":0.005949199},"labels":[],"label_agreement":null},{"id":"W2319912904","doi":"10.2514/6.2009-5887","title":"Multiple UAVs Formation Flight Experiments Using Virtual Structure and Motion Synchronization","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Controller (irrigation); Synchronization (alternating current); Position (finance); Computer science; Tracking (education); Flight simulator; Flight dynamics; Control theory (sociology); Simulation; Control engineering; Real-time computing; Aerospace engineering; Engineering; Control (management); Aerodynamics; Artificial intelligence; Channel (broadcasting)","score_opus":0.013629526141314128,"score_gpt":0.23960937687062,"score_spread":0.22597985072930588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319912904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97252864,0.00005472356,0.025692744,0.000070728725,0.00004044741,0.00006041181,0.00004209733,0.000189253,0.001320887],"genre_scores_gemma":[0.99450433,0.000018678267,0.005075968,0.000009191815,0.0000017221041,0.00002099181,0.000037543163,0.0000062797253,0.00032530914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996637,0.00008119289,0.000019599946,0.000057631405,0.00012056887,0.00005733975],"domain_scores_gemma":[0.99949527,0.00014916497,0.00008146368,0.00012796836,0.00007357048,0.00007262022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005176626,0.00036298987,0.00028813328,0.00029352476,0.00040786967,0.00026041525,0.0004241479,0.00043310705,0.0010032973],"category_scores_gemma":[0.00083811395,0.000180113,0.0003173605,0.00013923294,0.00041250428,0.000493974,0.0007771119,0.00045316367,0.00010635146],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015464929,0.0010272687,0.0072619417,0.00022844765,0.00017221167,0.0012138342,0.0010455655,0.65568846,0.28553715,0.0048717745,0.0007646884,0.040642228],"study_design_scores_gemma":[0.0005543617,0.0075014224,0.0070089716,0.00002586289,0.000057946843,0.0003260967,0.00050248584,0.74060893,0.23904705,0.0017445586,0.0025557121,0.000066579596],"about_ca_topic_score_codex":0.0021127237,"about_ca_topic_score_gemma":0.0013931108,"teacher_disagreement_score":0.0021127237,"about_ca_system_score_codex":0.0002670998,"about_ca_system_score_gemma":0.00031740227,"threshold_uncertainty_score":0.0042008758},"labels":[],"label_agreement":null},{"id":"W2319918486","doi":"10.2514/6.2012-4542","title":"An Experimental Evaluation of Bayesian Soft Human Sensor Fusion in Robotic Systems","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Air Force Office of Scientific Research; Multidisciplinary University Research Initiative; Ryerson University","keywords":"Robot; Sensor fusion; Fuse (electrical); Artificial intelligence; Human–robot interaction; Bayesian probability; Computer science; Operator (biology); Probabilistic logic; Variety (cybernetics); Robotics; Human–computer interaction; Machine learning; Engineering","score_opus":0.029671734207846346,"score_gpt":0.30046138797451927,"score_spread":0.2707896537666729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319918486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89459705,0.0008624033,0.097376615,0.0003851907,0.00015560514,0.0005921595,0.00029997368,0.00034873796,0.005382303],"genre_scores_gemma":[0.9783885,0.00018380699,0.019949587,0.0000670718,0.000027240547,0.00022871222,0.00026665165,0.000022609689,0.00086574774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99590886,0.0019043939,0.0003229453,0.00049228256,0.001119419,0.00025206333],"domain_scores_gemma":[0.99004585,0.006806409,0.00076144934,0.00093231344,0.0012082644,0.0002456041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061299237,0.0008293893,0.00061407883,0.00061947136,0.0005206604,0.0006686931,0.00075218466,0.0012362477,0.0026071141],"category_scores_gemma":[0.01982867,0.0003523249,0.0005119062,0.0004516967,0.0010757389,0.0013617008,0.0014562545,0.0006325569,0.00037461237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018405242,0.007263723,0.010603929,0.0029149533,0.00073344907,0.00026029837,0.0012554688,0.49486417,0.13656746,0.0053644963,0.0023993752,0.31936732],"study_design_scores_gemma":[0.00093361904,0.02946477,0.024653526,0.00018485286,0.0002511758,0.00036904155,0.0006086396,0.84097195,0.09373158,0.005695143,0.0029850232,0.00015061331],"about_ca_topic_score_codex":0.001665223,"about_ca_topic_score_gemma":0.0011476366,"teacher_disagreement_score":0.0061299237,"about_ca_system_score_codex":0.000580959,"about_ca_system_score_gemma":0.00048214372,"threshold_uncertainty_score":0.03241849},"labels":[],"label_agreement":null},{"id":"W2320305847","doi":"10.2514/6.2010-8453","title":"Hybrid Optimal Control Approach to Commercial Aircrafts 3D Multiphase Trajectory Optimization","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trajectory; Trajectory optimization; Computer science; Optimal control; Control (management); Control theory (sociology); Vehicle dynamics; Control engineering; Automotive engineering; Engineering; Mathematical optimization; Mathematics; Artificial intelligence","score_opus":0.005194626542843591,"score_gpt":0.20034824867463563,"score_spread":0.19515362213179205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320305847","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009471341,0.00027510693,0.9834804,0.00016947568,0.0000664783,0.000030408217,0.00005355607,0.00019797756,0.006255227],"genre_scores_gemma":[0.78704745,0.0003738763,0.20194943,0.00015590627,0.00011476966,0.00028170494,0.00019795766,0.00018366604,0.00969527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998405,0.000048498743,0.000006626277,0.000023699125,0.000056907822,0.00002370419],"domain_scores_gemma":[0.99977654,0.00009555138,0.000021814882,0.000015882775,0.00007370328,0.000016607475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044075205,0.00065216265,0.00070012436,0.0005703494,0.00040429065,0.0009109097,0.00079081376,0.0008163627,0.003704225],"category_scores_gemma":[0.0006716653,0.000551427,0.0005493543,0.00043442586,0.0005475116,0.00047275572,0.0010495805,0.00078735035,0.00038764038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023810073,0.00001089215,0.00006133251,0.000016596701,0.00001327322,0.000012617907,0.000013201314,0.9842553,0.00045491598,0.005152721,0.00041780507,0.009567581],"study_design_scores_gemma":[0.0000025607858,0.000004516989,0.000015046555,8.8877977e-7,9.78838e-7,0.0000011887665,0.0000017589635,0.9990183,0.000046358364,0.0007015975,0.00020591413,9.288714e-7],"about_ca_topic_score_codex":0.016708588,"about_ca_topic_score_gemma":0.0116571365,"teacher_disagreement_score":0.016708588,"about_ca_system_score_codex":0.00076425704,"about_ca_system_score_gemma":0.0008551633,"threshold_uncertainty_score":0.033222675},"labels":[],"label_agreement":null},{"id":"W2320716546","doi":"10.2514/6.2010-7896","title":"Analytical Solutions to Approximations of the Hamilton-Jacobi Equation Applied to Satellite Attitude Control","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Satellite; Hamilton–Jacobi equation; Applied mathematics; Attitude control; Computer science; Mathematics; Control engineering; Aerospace engineering; Engineering","score_opus":0.00984165210261746,"score_gpt":0.21347074282507264,"score_spread":0.2036290907224552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320716546","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06505408,0.002617897,0.8905227,0.00079438277,0.00075897604,0.00009796944,0.00009168598,0.00032507454,0.039737232],"genre_scores_gemma":[0.8694971,0.002235757,0.099020325,0.00015856969,0.00019039489,0.00014818893,0.00015813384,0.00016482633,0.028426798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980944,0.000066429435,0.000009826705,0.0000109835155,0.00007774057,0.000025689176],"domain_scores_gemma":[0.9995534,0.00020901252,0.00003766787,0.000037548034,0.00014258895,0.000019699344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005493218,0.0004151137,0.00045458082,0.00053023605,0.0005482553,0.0009032242,0.00077728485,0.0008528332,0.0022802146],"category_scores_gemma":[0.0033278689,0.0003518704,0.0003827747,0.00061914313,0.0008031712,0.0006109002,0.0004963422,0.0008219644,0.00050409255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000670726,0.000059935603,0.00048045587,0.00015093667,0.000027714454,0.00013834819,0.0003109464,0.7359562,0.0033483624,0.22478867,0.003471184,0.03120025],"study_design_scores_gemma":[0.000005145799,0.00000816252,0.000059663314,0.000011863243,0.0000023681953,0.000010298239,0.000027595208,0.98561263,0.0002677688,0.01255907,0.0014312022,0.000004198525],"about_ca_topic_score_codex":0.009055504,"about_ca_topic_score_gemma":0.0073998575,"teacher_disagreement_score":0.009055504,"about_ca_system_score_codex":0.0008925105,"about_ca_system_score_gemma":0.00094057585,"threshold_uncertainty_score":0.01800555},"labels":[],"label_agreement":null},{"id":"W2320779302","doi":"10.2514/6.2016-0629","title":"Development of an Air-Bearing Inclinable Turntable for Testing Tether Deployment","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Software deployment; Bearing (navigation); Computer science; Aerospace engineering; Marine engineering; Systems engineering; Environmental science; Aeronautics; Engineering; Software engineering; Artificial intelligence","score_opus":0.01910149654393591,"score_gpt":0.23238088140048815,"score_spread":0.21327938485655223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320779302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8823476,0.000103521306,0.10947377,0.00012096383,0.00019907192,0.0010391726,0.0006650188,0.0013215914,0.00472932],"genre_scores_gemma":[0.9413333,0.0001696762,0.05351137,0.00006017675,0.000016092827,0.0006640875,0.00071920146,0.000094913776,0.0034312166],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995203,0.00008996509,0.000037813683,0.00006511101,0.00022837256,0.000058435755],"domain_scores_gemma":[0.99889874,0.0002607646,0.0001027156,0.0002611887,0.00034038344,0.00013615798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006738372,0.00051251624,0.00027135297,0.0005009677,0.00035988758,0.00035974418,0.0009879406,0.0005325322,0.0033864342],"category_scores_gemma":[0.0018607554,0.00025703706,0.00023055199,0.00023566527,0.0003973985,0.0006629805,0.000542717,0.00041386217,0.0006166262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008046752,0.000842152,0.005979257,0.00038394766,0.000050295057,0.00044843767,0.00042524087,0.03264612,0.9232382,0.0018246986,0.0006416682,0.032715295],"study_design_scores_gemma":[0.00042018504,0.013737262,0.020000413,0.00005525965,0.000067642744,0.0003129162,0.00046845872,0.08676843,0.86589956,0.0005250696,0.011656158,0.00008863897],"about_ca_topic_score_codex":0.0018982983,"about_ca_topic_score_gemma":0.0026785517,"teacher_disagreement_score":0.0033864342,"about_ca_system_score_codex":0.00028650506,"about_ca_system_score_gemma":0.00052739267,"threshold_uncertainty_score":0.011328757},"labels":[],"label_agreement":null},{"id":"W2320927771","doi":"10.2514/6.2015-0345","title":"Calibration of Atmospheric Density Model Using Orbital Data of Multiple Satellites","year":2015,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Calibration; Atmospheric model; Remote sensing; Computer science; Atmospheric wave; Environmental science; Physics; Meteorology; Astronomy; Geology","score_opus":0.033499368925543026,"score_gpt":0.2583417291570317,"score_spread":0.22484236023148865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320927771","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19363102,0.00019548173,0.8016185,0.00015743045,0.000084082785,0.00005982513,0.00023155172,0.0012448983,0.0027772656],"genre_scores_gemma":[0.8774846,0.00023774082,0.12027264,0.000032630916,0.000029534729,0.00008488341,0.0005668127,0.00009904096,0.0011921828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996138,0.000062005536,0.000017172268,0.00013842637,0.0001403113,0.000028381326],"domain_scores_gemma":[0.999762,0.00004380985,0.000035153727,0.000053907595,0.00009348142,0.000011672298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004439134,0.0005148646,0.0003776165,0.00045789976,0.0005093958,0.00044020158,0.00077124656,0.00045296783,0.00049369887],"category_scores_gemma":[0.0013991519,0.00034304938,0.0005439713,0.00071286643,0.00032495652,0.001037138,0.00059167313,0.0006891011,0.00025016553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046667017,0.000036291596,0.011519061,0.000050854396,0.00004349699,0.000074944845,0.00009374764,0.9083753,0.010818675,0.003208774,0.00086302054,0.06486922],"study_design_scores_gemma":[0.0000066293187,0.0000068405516,0.0015682263,0.0000026826408,0.000005985584,0.000021971624,0.000008715288,0.99524385,0.002206614,0.0005570175,0.00036302154,0.000008324565],"about_ca_topic_score_codex":0.016467448,"about_ca_topic_score_gemma":0.0067436737,"teacher_disagreement_score":0.016467448,"about_ca_system_score_codex":0.0005790672,"about_ca_system_score_gemma":0.0010469696,"threshold_uncertainty_score":0.032743216},"labels":[],"label_agreement":null},{"id":"W2321230340","doi":"10.2514/6.2010-8152","title":"A Focusing Procedure for Nanosatellite Star Trackers","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"University of Toronto","keywords":"Star (game theory); BitTorrent tracker; Star tracker; Computer science; Aerospace engineering; Artificial intelligence; Engineering; Physics; Eye tracking; Astrophysics; Spacecraft","score_opus":0.009530082714640595,"score_gpt":0.23982852568262253,"score_spread":0.23029844296798194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321230340","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0865977,0.00022577809,0.9068967,0.00017458081,0.00006770249,0.0001835514,0.00014703351,0.0009833052,0.004723609],"genre_scores_gemma":[0.30461174,0.00021683272,0.68788725,0.00013834005,0.000020090032,0.00019515587,0.00019847012,0.00011240769,0.006619757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964476,0.000029904259,0.0000198235,0.000075466196,0.00020822822,0.000021847733],"domain_scores_gemma":[0.99953127,0.00007141446,0.00008414312,0.00013065094,0.00016085304,0.00002167496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003645414,0.00029641882,0.00018629912,0.00037570857,0.0004615198,0.00029487978,0.00036602002,0.00039268457,0.0016758554],"category_scores_gemma":[0.00072860846,0.00026942726,0.0001970093,0.0003140952,0.00039696685,0.00035444394,0.00046099443,0.00039763594,0.0006639178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013875672,0.00006940658,0.0023321288,0.00013865645,0.00002025404,0.00012569132,0.00028077624,0.009037303,0.84092027,0.015259063,0.0017039451,0.12997368],"study_design_scores_gemma":[0.000046795627,0.00050251995,0.005599985,0.000024305142,0.000014784221,0.0008895901,0.00007231899,0.06848673,0.89636695,0.003578792,0.02433274,0.00008450754],"about_ca_topic_score_codex":0.00095372304,"about_ca_topic_score_gemma":0.0017594711,"teacher_disagreement_score":0.0016758554,"about_ca_system_score_codex":0.0005523531,"about_ca_system_score_gemma":0.0005601267,"threshold_uncertainty_score":0.005606234},"labels":[],"label_agreement":null},{"id":"W2321758870","doi":"10.2514/6.2011-6410","title":"Nonlinear Flight Guidance and Control Design for a Loss-of-thrust Aircraft","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Thrust; Nonlinear system; Aerospace engineering; Aeronautics; Control theory (sociology); Control (management); Computer science; Aerodynamics; Attitude control; Control engineering; Engineering; Physics; Artificial intelligence","score_opus":0.0284396162773689,"score_gpt":0.2318932746778882,"score_spread":0.2034536584005193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321758870","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08080658,0.00031917726,0.9074345,0.00045121848,0.00010358068,0.00009962378,0.00003936867,0.00011784672,0.010628061],"genre_scores_gemma":[0.9562527,0.00022799765,0.03674402,0.000084767446,0.000061045794,0.00014396329,0.000044386066,0.000026326126,0.0064146817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983776,0.00003284912,0.000006223981,0.00003142545,0.00007049955,0.000021245565],"domain_scores_gemma":[0.99982435,0.000044638124,0.00003021346,0.000008940899,0.00008012128,0.000011812279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043928274,0.0005095398,0.00041251234,0.00025084647,0.0005563704,0.0006136277,0.0005567351,0.00080652116,0.0014352868],"category_scores_gemma":[0.0007479752,0.00032399324,0.0002729737,0.00014257779,0.0005340437,0.000415986,0.00067670876,0.00045048905,0.00025463203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015346817,0.00004332948,0.00043706378,0.00008048495,0.000021469621,0.000089345835,0.00012851697,0.9581673,0.01232158,0.005143933,0.0005087215,0.022904841],"study_design_scores_gemma":[0.000014083048,0.00007197257,0.00011180335,0.0000027059702,0.0000047064455,0.0000099538765,0.000009524397,0.9986117,0.00053088285,0.0003525276,0.00027676846,0.000003237665],"about_ca_topic_score_codex":0.009407509,"about_ca_topic_score_gemma":0.0071376543,"teacher_disagreement_score":0.009407509,"about_ca_system_score_codex":0.00051340077,"about_ca_system_score_gemma":0.00086457405,"threshold_uncertainty_score":0.018705547},"labels":[],"label_agreement":null},{"id":"W2322063024","doi":"10.2514/6.2011-6400","title":"Experimental Study on Combining a Simple Input Shaper and Adaptive Positive Position Feedback Control","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Control theory (sociology); Simple (philosophy); Computer science; Position (finance); Feedback control; Adaptive control; Control (management); Control engineering; Artificial intelligence; Engineering","score_opus":0.015438311815113334,"score_gpt":0.22224738980734352,"score_spread":0.2068090779922302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322063024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9533407,0.00017292012,0.04172086,0.0001244933,0.000104521205,0.00023409817,0.00012500439,0.00030453294,0.003872784],"genre_scores_gemma":[0.98085344,0.00009624782,0.016301908,0.000040705338,0.000025306284,0.00015675813,0.000110858244,0.000020715679,0.002394102],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992933,0.00013441907,0.000048826292,0.0001547703,0.00026679703,0.00010177204],"domain_scores_gemma":[0.9992687,0.00019632088,0.000078401325,0.00016894873,0.00021034996,0.00007725151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087703904,0.0006056952,0.000494107,0.00044193087,0.0005275777,0.00032380517,0.00073568604,0.00081357243,0.0038225858],"category_scores_gemma":[0.0012369262,0.00021392589,0.0003139168,0.00027783937,0.00074750994,0.0008817368,0.0005726164,0.000470283,0.00045982943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011355788,0.001667115,0.0013108794,0.0003917857,0.000035005418,0.00031014223,0.00029160184,0.0024543128,0.95927995,0.00089635194,0.00027039787,0.03195687],"study_design_scores_gemma":[0.0008892291,0.04663326,0.027296862,0.00009216256,0.00015597654,0.0011301058,0.00058778684,0.043802533,0.8698459,0.0010416273,0.008403951,0.00012051794],"about_ca_topic_score_codex":0.0004932421,"about_ca_topic_score_gemma":0.00052984676,"teacher_disagreement_score":0.0038225858,"about_ca_system_score_codex":0.00015955963,"about_ca_system_score_gemma":0.00027520696,"threshold_uncertainty_score":0.0127878785},"labels":[],"label_agreement":null},{"id":"W2322153909","doi":"10.2514/6.2016-0384","title":"Bio-inspired Time-to-contact Control for Autonomous Quadrotor Vehicles","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Else Kröner-Fresenius-Stiftung","keywords":"Computer science; Control (management); Control engineering; Artificial intelligence; Engineering","score_opus":0.00968461774715961,"score_gpt":0.21765740206410186,"score_spread":0.20797278431694224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322153909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07197189,0.0003697628,0.92260176,0.000106689804,0.00008045539,0.00003686806,0.000014062863,0.0002054814,0.004612977],"genre_scores_gemma":[0.9692973,0.00013246598,0.028698731,0.000033900084,0.000012930025,0.000031295487,0.000013716833,0.000009773313,0.0017698795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999466,0.000007812104,0.0000023276048,0.0000129545715,0.000024901889,0.0000053859653],"domain_scores_gemma":[0.99993515,0.000016292757,0.00002064376,0.0000055555884,0.000012903218,0.000009476764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083530205,0.00023476307,0.00015131077,0.00011450445,0.00018042461,0.00024776996,0.00028587913,0.00018136812,0.0005361039],"category_scores_gemma":[0.00018984625,0.00006145924,0.00012961192,0.000063212254,0.00025125817,0.00020626842,0.000320142,0.00018633429,0.00009099665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017344665,0.00009791786,0.0009792212,0.00015120555,0.000040696807,0.0003486699,0.0002553837,0.54975796,0.30541605,0.021444006,0.000868874,0.12046654],"study_design_scores_gemma":[0.00000913816,0.00020933553,0.0004528857,0.000004262002,0.0000054759016,0.00006993097,0.000020518552,0.9887332,0.0067440877,0.0016240313,0.0021211298,0.0000060131724],"about_ca_topic_score_codex":0.00081428554,"about_ca_topic_score_gemma":0.0007855911,"teacher_disagreement_score":0.00081428554,"about_ca_system_score_codex":0.00018320649,"about_ca_system_score_gemma":0.00015567256,"threshold_uncertainty_score":0.0017935038},"labels":[],"label_agreement":null},{"id":"W2322392494","doi":"10.2514/6.2015-0346","title":"Position Based Visual Servoing in an Indoor Simulation Platform","year":2015,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Visual servoing; Computer science; Computer vision; Position (finance); Artificial intelligence; Computer graphics (images); Robot","score_opus":0.03137629161730074,"score_gpt":0.3183352749037194,"score_spread":0.28695898328641867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322392494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6642828,0.00008808333,0.30729362,0.00016780446,0.00009852869,0.00046345821,0.00080122316,0.0060925954,0.020711944],"genre_scores_gemma":[0.93042886,0.0001058305,0.063882194,0.000035223162,0.000007722883,0.00030430083,0.00035273586,0.00020268235,0.0046803188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997061,0.00007294445,0.000013051006,0.0000376212,0.00011318465,0.000057031317],"domain_scores_gemma":[0.9995846,0.00013997321,0.00004924335,0.00006701312,0.00009217908,0.00006697555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044362238,0.0006983578,0.00047946034,0.00033632776,0.0004024764,0.000590852,0.001139896,0.00063547556,0.0032633536],"category_scores_gemma":[0.00067142467,0.00030866807,0.00045460206,0.00020691611,0.0004414031,0.0003519561,0.0006113461,0.0006057956,0.00044376552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023150168,0.00021843144,0.0010073367,0.00007128166,0.000024518642,0.00018551829,0.000110475456,0.971038,0.01750579,0.0016388264,0.00045328875,0.0075150323],"study_design_scores_gemma":[0.00011931391,0.0002295832,0.0005898845,0.000008406779,0.000015486976,0.00003147485,0.00003409965,0.982462,0.014299576,0.0002943429,0.0018978859,0.000018021301],"about_ca_topic_score_codex":0.012416919,"about_ca_topic_score_gemma":0.009223291,"teacher_disagreement_score":0.012416919,"about_ca_system_score_codex":0.00051833363,"about_ca_system_score_gemma":0.0012220901,"threshold_uncertainty_score":0.024689317},"labels":[],"label_agreement":null},{"id":"W2322462208","doi":"10.2514/6.2011-6225","title":"Progress against the Wind with Dynamic Soaring - Results from In-Flight Measurements of Albatrosses -","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Polar Knowledge Canada","keywords":"Environmental science; Aerospace engineering; Aeronautics; Marine engineering; Meteorology; Remote sensing; Engineering; Geology; Geography","score_opus":0.01626460568678659,"score_gpt":0.20648773708180831,"score_spread":0.19022313139502173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322462208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99928576,0.000014704334,0.00043019783,0.0000029059368,0.0000014944806,0.0000032271482,0.00007804361,0.0000144873175,0.00016920123],"genre_scores_gemma":[0.9988166,0.000031496904,0.00070755096,0.000006313424,0.0000020595303,0.0000058025585,0.00018441188,0.000008049872,0.00023781043],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999089,0.000012342109,0.0000061615247,0.000020892332,0.000027595031,0.000023984721],"domain_scores_gemma":[0.9996568,0.0000808081,0.000049779963,0.0000369008,0.00008368916,0.000092034286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014630456,0.00030524735,0.00028109396,0.00025172046,0.00031168375,0.00022267163,0.00018223608,0.00022230633,0.00066793576],"category_scores_gemma":[0.00039314997,0.000089742556,0.00015061378,0.00016492132,0.00028600972,0.00017185266,0.00018883742,0.00031623544,0.00016288809],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006444853,0.00026101715,0.06768807,0.00010909992,0.00006451928,0.00030695385,0.00047242834,0.003945042,0.90887487,0.000050214756,0.0001414649,0.01744194],"study_design_scores_gemma":[0.000045109133,0.002828468,0.7484985,0.000018356617,0.00009130964,0.0007134852,0.00054713595,0.020552216,0.22527452,0.00010715273,0.0012794781,0.000044321016],"about_ca_topic_score_codex":0.0026146115,"about_ca_topic_score_gemma":0.0043842033,"teacher_disagreement_score":0.0026146115,"about_ca_system_score_codex":0.00013185326,"about_ca_system_score_gemma":0.00009965881,"threshold_uncertainty_score":0.0051987767},"labels":[],"label_agreement":null},{"id":"W2322654826","doi":"10.2514/6.2010-8426","title":"Decentralized Sliding Control of Cooperative Multi-Agent Systems Subject to Communication Delays","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subject (documents); Computer science; Multi-agent system; Control (management); Control system; Decentralised system; Control theory (sociology); Distributed computing; Control engineering; Engineering; Artificial intelligence; World Wide Web","score_opus":0.01803225674292747,"score_gpt":0.26218027566380725,"score_spread":0.24414801892087978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322654826","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16688813,0.00041809015,0.8283933,0.00023819355,0.00008846112,0.000043521897,0.0000267257,0.00020285329,0.0037006594],"genre_scores_gemma":[0.9939188,0.00010469359,0.0047013573,0.000011602506,0.000020868005,0.000039513445,0.000014638365,0.000006835719,0.0011815903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999653,0.00009623822,0.0000151842605,0.000081971906,0.00010227842,0.00005145168],"domain_scores_gemma":[0.99925894,0.00034139075,0.0001623099,0.00005227008,0.00014335851,0.00004166738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005653972,0.0006059882,0.00061621406,0.00020422925,0.00041211492,0.00062152965,0.0006312272,0.0005242537,0.00063627184],"category_scores_gemma":[0.0015975337,0.00027334483,0.0002340075,0.00023851464,0.00073830114,0.0006016842,0.00081680226,0.00050695986,0.00008835548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012697655,0.000025491132,0.00044264304,0.00007902062,0.000026772115,0.0001588829,0.00011449495,0.96456283,0.008466889,0.009304753,0.00031518665,0.016376091],"study_design_scores_gemma":[0.000017013715,0.00006150648,0.00012982548,0.0000020540383,0.000004156071,0.000010821271,0.00001399546,0.996707,0.00075733534,0.0020249886,0.00026873665,0.0000026070657],"about_ca_topic_score_codex":0.0026352785,"about_ca_topic_score_gemma":0.0017279545,"teacher_disagreement_score":0.0026352785,"about_ca_system_score_codex":0.00051491364,"about_ca_system_score_gemma":0.0006928846,"threshold_uncertainty_score":0.005239904},"labels":[],"label_agreement":null},{"id":"W2322847264","doi":"10.2514/6.2009-5954","title":"Analytical Solutions to Approximations of the Hamilton-Jacobi Equation Applied to Satellite Formation Flying","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hamilton–Jacobi equation; Satellite; Applied mathematics; Computer science; Mathematics; Aerospace engineering; Engineering","score_opus":0.014560271143151162,"score_gpt":0.21627858713459355,"score_spread":0.20171831599144238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322847264","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024919486,0.0013103535,0.94286823,0.00033356322,0.00019923621,0.00007480213,0.00007065838,0.00023305026,0.029990567],"genre_scores_gemma":[0.7279901,0.0035124286,0.23079011,0.0001787251,0.00013793993,0.00022893472,0.00016813028,0.00014459029,0.03684909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999058,0.000020113408,0.000004296365,0.000006188666,0.000051863437,0.000011704186],"domain_scores_gemma":[0.99983597,0.00007261214,0.000017701766,0.000017270893,0.000049104758,0.0000072021753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033110214,0.00037902268,0.0002599132,0.00029220854,0.00037837427,0.000448833,0.00055458775,0.0006108711,0.0025508057],"category_scores_gemma":[0.0014856042,0.00021476751,0.00032005104,0.00035561417,0.00051496294,0.00044104582,0.0004618532,0.00059223024,0.0005579888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021862044,0.00003066861,0.0003374553,0.00016134711,0.0000118332555,0.00017311059,0.00029075585,0.7833836,0.006929976,0.17356606,0.0025065222,0.032586858],"study_design_scores_gemma":[0.000004164298,0.000010327516,0.000059025027,0.000011356368,0.000001516956,0.000023175455,0.00002795147,0.988277,0.00064103794,0.008670406,0.0022698892,0.000004071426],"about_ca_topic_score_codex":0.005031127,"about_ca_topic_score_gemma":0.004337256,"teacher_disagreement_score":0.005031127,"about_ca_system_score_codex":0.0005956335,"about_ca_system_score_gemma":0.00065898057,"threshold_uncertainty_score":0.010003686},"labels":[],"label_agreement":null},{"id":"W2323305715","doi":"10.2514/6.2016-2092","title":"Position-Based Visual Servoing for Target Tracking by a Quadrotor UAV","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Visual servoing; Computer vision; Tracking (education); Computer science; Position (finance); Artificial intelligence; Position tracking; Robot","score_opus":0.008769858648574713,"score_gpt":0.26759936973444814,"score_spread":0.25882951108587343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323305715","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47392008,0.00053249806,0.51697624,0.0002586496,0.0002096069,0.000048431328,0.00005399495,0.0006372414,0.0073632575],"genre_scores_gemma":[0.9887656,0.000041459025,0.010044569,0.00001690127,0.0000080310765,0.0000060304837,0.000010868161,0.0000073707565,0.0010991071],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999491,0.0000062069025,0.0000027354436,0.000017964036,0.0000176994,0.00000631478],"domain_scores_gemma":[0.99992204,0.000018634939,0.000015479876,0.000009486143,0.000024626852,0.000009714834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093350805,0.00019753145,0.00017724182,0.000117485964,0.00020818361,0.00019243546,0.00023128625,0.00024738567,0.0006995065],"category_scores_gemma":[0.00029748984,0.00011982563,0.0000896808,0.00009585374,0.00012375528,0.00018401412,0.00028820912,0.00020105555,0.000114111055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085973775,0.000111699694,0.003135789,0.0001875625,0.000045400775,0.0005363109,0.00024894055,0.20026325,0.5710485,0.0024078425,0.0017896153,0.21936542],"study_design_scores_gemma":[0.000031946205,0.00030687184,0.0027373694,0.000007774418,0.00001193409,0.00013042637,0.000022339447,0.96885574,0.0261632,0.00039563002,0.0013271188,0.000009576845],"about_ca_topic_score_codex":0.0020281235,"about_ca_topic_score_gemma":0.0019829131,"teacher_disagreement_score":0.0020281235,"about_ca_system_score_codex":0.00014081123,"about_ca_system_score_gemma":0.00017044142,"threshold_uncertainty_score":0.004032612},"labels":[],"label_agreement":null},{"id":"W2323384454","doi":"10.2514/6.2012-5048","title":"Vision-based Quadrotor Micro-UAV Position and Yaw Estimation and Control","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heading (navigation); Position (finance); Kalman filter; Computer vision; Computer science; Euler angles; Artificial intelligence; Tracking (education); Yaw; Pose; Extended Kalman filter; Control theory (sociology); Control (management); Engineering; Mathematics","score_opus":0.007684993071630016,"score_gpt":0.24113686738689188,"score_spread":0.23345187431526188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323384454","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039618574,0.0005040259,0.95555294,0.000067989014,0.00008427682,0.00004986931,0.0000584131,0.00080628577,0.0032576083],"genre_scores_gemma":[0.8655847,0.00031611772,0.12785612,0.000063841304,0.000043346365,0.000085320404,0.00010962066,0.000044612,0.005896391],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986744,0.000011950027,0.0000067271044,0.000043087995,0.000054119442,0.00001674136],"domain_scores_gemma":[0.99990344,0.000017065851,0.00002700556,0.000010632241,0.0000308926,0.000010926635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105372885,0.00042535653,0.00034310482,0.00018690868,0.00015638102,0.00031317305,0.00041432894,0.00021921536,0.0010906169],"category_scores_gemma":[0.00021008351,0.00018909418,0.00016666342,0.00012285076,0.00017682959,0.00029869625,0.0002846867,0.00029864925,0.0003847151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044351394,0.00012273024,0.002466509,0.00024530216,0.00007996284,0.00029015235,0.00012456717,0.23756212,0.33498648,0.0065638283,0.0029078852,0.41420695],"study_design_scores_gemma":[0.000030911506,0.00033606053,0.0019688571,0.000009574423,0.000020986825,0.00017058499,0.000023521572,0.94988155,0.04153582,0.00087935623,0.005121807,0.000020998194],"about_ca_topic_score_codex":0.0019959898,"about_ca_topic_score_gemma":0.0028535204,"teacher_disagreement_score":0.0019959898,"about_ca_system_score_codex":0.0002539735,"about_ca_system_score_gemma":0.00028764116,"threshold_uncertainty_score":0.0039687157},"labels":[],"label_agreement":null},{"id":"W2325122603","doi":"10.2514/6.2014-1467","title":"Quarter Cycle Modulation of a Minimally Actuated Biomimetic Vehicle","year":2014,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Control theory (sociology); Wing; Aerodynamics; Micro air vehicle; Degrees of freedom (physics and chemistry); Aerodynamic force; Engineering; Control system; Motion control; Flapping; Physics; Computer science; Structural engineering; Control (management); Aerospace engineering; Artificial intelligence","score_opus":0.005309045903850841,"score_gpt":0.1914686692464428,"score_spread":0.18615962334259195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325122603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37129214,0.00043893282,0.61486876,0.00013914306,0.000096635136,0.000033835408,0.000040640567,0.00031498857,0.012774928],"genre_scores_gemma":[0.9583433,0.00014434631,0.038025256,0.000028442102,0.000011346745,0.000017223916,0.000018994357,0.0000106129855,0.0034006136],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99997747,0.0000033528263,7.658898e-7,0.0000041742833,0.000011446152,0.0000028875727],"domain_scores_gemma":[0.9999784,0.0000066101356,0.000004302935,0.0000033781978,0.00000429322,0.0000029862547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003926399,0.00009612789,0.0000894026,0.00008895581,0.00010602693,0.00012802283,0.00016683196,0.00013456006,0.0006339206],"category_scores_gemma":[0.00007607824,0.000055846514,0.00007811222,0.000045420562,0.00015118055,0.00011782591,0.0001199045,0.00010918545,0.00008085445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011750801,0.000032812663,0.0010594345,0.000068822876,0.000013037854,0.00014102535,0.00013159067,0.12434795,0.73279893,0.030197866,0.0006089492,0.11048209],"study_design_scores_gemma":[0.000012094826,0.00039725294,0.0013507637,0.00001013653,0.000008920172,0.00015580255,0.000026266747,0.9117409,0.069593735,0.0041945213,0.012491902,0.000017732065],"about_ca_topic_score_codex":0.00040807406,"about_ca_topic_score_gemma":0.000397084,"teacher_disagreement_score":0.0006339206,"about_ca_system_score_codex":0.00011565325,"about_ca_system_score_gemma":0.00009849016,"threshold_uncertainty_score":0.0021206737},"labels":[],"label_agreement":null},{"id":"W2325228453","doi":"10.2514/6.2010-7856","title":"Robust Thrust-Only Control of Damaged Aircraft with Horizontal Tail Loss","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Aeronautics and Space Administration","keywords":"Aerospace engineering; Thrust; Control (management); Control theory (sociology); Environmental science; Computer science; Engineering; Artificial intelligence","score_opus":0.0075232947830913945,"score_gpt":0.19023204452113632,"score_spread":0.18270874973804493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325228453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47868106,0.00022880497,0.51537794,0.00016562814,0.00004596534,0.000023442253,0.00004156711,0.0005844846,0.00485105],"genre_scores_gemma":[0.9979382,0.000023841785,0.0015379657,0.000007747008,0.0000030289032,0.000004324584,0.000008576218,0.0000035947442,0.00047281664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999298,0.000010020168,0.0000040817026,0.00001368922,0.000023380966,0.0000190674],"domain_scores_gemma":[0.99985015,0.00003350164,0.000061727165,0.000013948868,0.000030043107,0.000010591136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012040357,0.00032067503,0.00025304971,0.00013187237,0.00014874824,0.00034321196,0.00033181408,0.00025622814,0.0005314957],"category_scores_gemma":[0.00047750532,0.000116745556,0.00013287368,0.000064731066,0.00033908398,0.00026839197,0.0003868677,0.0002804994,0.00009851131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027363357,0.00003780166,0.0007873806,0.00007061963,0.000024995523,0.00043204994,0.00013084683,0.8647806,0.086272426,0.0045439173,0.0005427874,0.042102914],"study_design_scores_gemma":[0.000011484014,0.00012718952,0.0005528809,0.0000034515053,0.0000044924336,0.000040704777,0.000012602766,0.99357694,0.0048402315,0.0005945345,0.00023141681,0.0000040797795],"about_ca_topic_score_codex":0.002830591,"about_ca_topic_score_gemma":0.0016297596,"teacher_disagreement_score":0.002830591,"about_ca_system_score_codex":0.00020630343,"about_ca_system_score_gemma":0.00023490928,"threshold_uncertainty_score":0.0056281686},"labels":[],"label_agreement":null},{"id":"W2325318295","doi":"10.2514/6.2009-5981","title":"Methods of Modeling of an Underwater Unmanned Vehicle (UUV)","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Unmanned underwater vehicle; Underwater; Remotely operated underwater vehicle; Marine engineering; Computer science; Geology; Engineering; Mobile robot; Artificial intelligence; Robot; Oceanography","score_opus":0.021422290870975618,"score_gpt":0.2786460056885105,"score_spread":0.25722371481753487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325318295","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001454694,0.00045920975,0.99322367,0.00013116603,0.00005879746,0.00002612256,0.00008892641,0.00014045728,0.004416984],"genre_scores_gemma":[0.3238035,0.0045481217,0.63412094,0.00022655872,0.00035010476,0.00081797,0.0009685731,0.00042402375,0.034740105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959534,0.00011230703,0.00002165957,0.00007575421,0.00016885849,0.000026076197],"domain_scores_gemma":[0.9997253,0.00008378371,0.000054816785,0.000029138975,0.00008936046,0.000017617745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006017708,0.001118011,0.00076334144,0.000768962,0.0004979759,0.0013875233,0.002000757,0.0013931631,0.0029064822],"category_scores_gemma":[0.0011105927,0.0005752279,0.0011825839,0.000616207,0.0006602722,0.0012631364,0.0011937239,0.0012362854,0.0012627147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022750912,0.000021017107,0.00046090066,0.00016297075,0.000047213554,0.00008566279,0.0001506496,0.86883193,0.0037769713,0.088309444,0.0022953572,0.035835136],"study_design_scores_gemma":[0.000003827057,0.000013216228,0.00007483747,0.00001885282,0.0000085939455,0.00002694473,0.000018564464,0.97676146,0.00045013792,0.014625858,0.007988677,0.000009142172],"about_ca_topic_score_codex":0.010427708,"about_ca_topic_score_gemma":0.0050549237,"teacher_disagreement_score":0.010427708,"about_ca_system_score_codex":0.0007094442,"about_ca_system_score_gemma":0.0011322282,"threshold_uncertainty_score":0.020734012},"labels":[],"label_agreement":null},{"id":"W2325364245","doi":"10.2514/6.2012-5024","title":"Wingbeat Synchronization And Implementation","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Synchronization (alternating current); Computer science; Telecommunications","score_opus":0.00681070676421817,"score_gpt":0.22507711235727557,"score_spread":0.2182664055930574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325364245","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022379953,0.0002619586,0.95753753,0.0001166006,0.00018121235,0.00016469638,0.000060077822,0.0014439512,0.017854093],"genre_scores_gemma":[0.83933026,0.00022052728,0.14949591,0.00010190657,0.00007625261,0.00023472455,0.00016797052,0.000093460076,0.0102789905],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997359,0.000025959613,0.00001958815,0.00007091446,0.00010506426,0.00004250461],"domain_scores_gemma":[0.9998344,0.00002688155,0.000015028331,0.000051184626,0.00005870518,0.00001371185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025667902,0.00029504712,0.00022083048,0.0003063561,0.00035311005,0.00067079975,0.0007195577,0.0004424658,0.005821146],"category_scores_gemma":[0.00088426797,0.00015181862,0.00015813527,0.0001950994,0.00026102352,0.0003730244,0.0006210684,0.0004889712,0.0017875155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044483726,0.00014053295,0.0014898228,0.00027420413,0.000033016117,0.00019639282,0.00040694993,0.07642603,0.21672666,0.07395547,0.0037227338,0.62618345],"study_design_scores_gemma":[0.00019158988,0.0006847821,0.0022297858,0.00008841247,0.000033741853,0.00038896332,0.00012780944,0.7322764,0.1731812,0.01666216,0.07407921,0.000056057554],"about_ca_topic_score_codex":0.0008247685,"about_ca_topic_score_gemma":0.0007866743,"teacher_disagreement_score":0.005821146,"about_ca_system_score_codex":0.00023919466,"about_ca_system_score_gemma":0.00049209205,"threshold_uncertainty_score":0.019473672},"labels":[],"label_agreement":null},{"id":"W2325591534","doi":"10.2514/6.2010-7883","title":"Kinodynamic Motion Planning for Holonomic UAVs in Complex 3D Environments","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Holonomic; Computer science; Motion planning; Motion (physics); Artificial intelligence; Computer vision; Robot","score_opus":0.01882893798987427,"score_gpt":0.25954074239346114,"score_spread":0.24071180440358686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325591534","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041118376,0.00009751906,0.95692474,0.00005243574,0.00000937757,0.000026136073,0.000027434498,0.00030773933,0.0014363276],"genre_scores_gemma":[0.7822166,0.00018196774,0.21515134,0.00002570834,0.000009811954,0.000119940945,0.000091465896,0.000062712155,0.0021404736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998754,0.000033709075,0.000006683559,0.00002991812,0.000038107148,0.000016114946],"domain_scores_gemma":[0.99976486,0.00012313089,0.000045489178,0.00002024844,0.00002748417,0.000018713068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020465457,0.00046264456,0.00025675687,0.0002972885,0.00044988783,0.00040660292,0.00043809132,0.00042680636,0.0011973515],"category_scores_gemma":[0.0011320233,0.0003553868,0.00027294978,0.0002526594,0.0006092605,0.00058010913,0.00072515634,0.00036367954,0.00021154885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042694523,0.000011859539,0.00050046947,0.000029583647,0.000008985433,0.00008292746,0.000106826585,0.96957594,0.003148223,0.004848385,0.0002527569,0.021391405],"study_design_scores_gemma":[0.0000048454262,0.000015846457,0.00013057269,0.0000022167396,0.0000015634255,0.000016762993,0.000016724876,0.99628204,0.0005552335,0.0025266916,0.00044452073,0.00000298573],"about_ca_topic_score_codex":0.0056640855,"about_ca_topic_score_gemma":0.0070674783,"teacher_disagreement_score":0.0056640855,"about_ca_system_score_codex":0.00047648046,"about_ca_system_score_gemma":0.000627258,"threshold_uncertainty_score":0.011262238},"labels":[],"label_agreement":null},{"id":"W2326049206","doi":"10.2514/6.2009-5779","title":"Cooperative UAV Search for Moving Targets Using a Modified Diffusion Uncertainty Model","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Computer science; Diffusion; Artificial intelligence; Physics","score_opus":0.03539236239605666,"score_gpt":0.291246541999305,"score_spread":0.25585417960324836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326049206","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10410487,0.00043246153,0.89274055,0.00030572698,0.000068608635,0.000025003008,0.00003986852,0.00010126488,0.0021815996],"genre_scores_gemma":[0.9698259,0.00027134272,0.026908364,0.00005151236,0.00003360164,0.000063789215,0.000050563205,0.000024686125,0.0027701599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966717,0.000075696524,0.000019142784,0.00008310609,0.00011122278,0.00004366372],"domain_scores_gemma":[0.99909616,0.0005406052,0.00013656009,0.00004641338,0.00013465194,0.000045579956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005769773,0.0007297005,0.0013495628,0.00069235126,0.0004874485,0.0010007155,0.0013652717,0.0014653801,0.0006939113],"category_scores_gemma":[0.0020182666,0.0007259491,0.0007923447,0.0008180665,0.00084946136,0.0020146624,0.0011358005,0.00080380857,0.00012672385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040045525,0.000011505756,0.00020270167,0.000018799989,0.000022526146,0.00004393969,0.000025765541,0.9897933,0.0015584676,0.005218759,0.000090823145,0.0029733267],"study_design_scores_gemma":[0.000004088488,0.000008070038,0.00003417694,6.825521e-7,0.0000027455746,0.0000050345066,0.0000016027142,0.99915445,0.00010222809,0.0006549258,0.000028344242,0.0000036411861],"about_ca_topic_score_codex":0.006912975,"about_ca_topic_score_gemma":0.003983318,"teacher_disagreement_score":0.006912975,"about_ca_system_score_codex":0.0009261236,"about_ca_system_score_gemma":0.0005979517,"threshold_uncertainty_score":0.013745487},"labels":[],"label_agreement":null},{"id":"W2326186051","doi":"10.2514/6.2016-0641","title":"Attitude Stabilization of an Uncooperative Spacecraft in an Orbital Environment using Visco-Elastic Tethers","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spacecraft; Aerospace engineering; Viscoelasticity; Orbital maneuver; Physics; Control theory (sociology); Materials science; Computer science; Engineering; Composite material; Artificial intelligence","score_opus":0.01150169256347656,"score_gpt":0.22833756111157374,"score_spread":0.2168358685480972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326186051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665883,0.00005933605,0.028682698,0.0000579769,0.000017433906,0.000013558777,0.000017355673,0.000075023745,0.0044882945],"genre_scores_gemma":[0.9974872,0.000029941195,0.0015960986,0.0000067874403,0.000001681197,0.00000614004,0.0000091245065,0.000003375771,0.0008595551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999709,0.0000063872844,0.00000108086,0.000003868399,0.0000101466885,0.0000075979683],"domain_scores_gemma":[0.9999182,0.000027956781,0.000022113252,0.000010173128,0.000008914372,0.00001252528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008404924,0.00017349218,0.00016386733,0.00015565904,0.0003435449,0.00033436177,0.00022902098,0.00029327662,0.00098281],"category_scores_gemma":[0.00024637984,0.000108956534,0.00018710073,0.00012350276,0.00043464746,0.0002795183,0.00041899655,0.000206768,0.00010549082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012147551,0.000031502743,0.0020710723,0.00002204811,0.00001920728,0.00021660184,0.00008104015,0.97169954,0.018521506,0.001676155,0.0001307168,0.005409111],"study_design_scores_gemma":[0.000018695197,0.0001274816,0.0009808446,0.000003357242,0.000006745712,0.000021415208,0.000054231525,0.99627846,0.0019683419,0.00025939118,0.0002755954,0.000005450791],"about_ca_topic_score_codex":0.0033107102,"about_ca_topic_score_gemma":0.0027414816,"teacher_disagreement_score":0.0033107102,"about_ca_system_score_codex":0.00020695575,"about_ca_system_score_gemma":0.00028375862,"threshold_uncertainty_score":0.006582856},"labels":[],"label_agreement":null},{"id":"W2326406952","doi":"10.2514/6.2011-6712","title":"Near-Optimal Trajectory Shaping of Guided Projectiles with Constrained Energy Consumption","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Guidance and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Trajectory; Projectile; Energy consumption; Computer science; Consumption (sociology); Energy (signal processing); Control theory (sociology); Artificial intelligence; Physics; Engineering; Electrical engineering; Control (management)","score_opus":0.0290892189419658,"score_gpt":0.21307329789844268,"score_spread":0.18398407895647687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326406952","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10974863,0.00010493436,0.88754135,0.00007149571,0.000008808329,0.000029034392,0.0000159576,0.00018765806,0.0022920591],"genre_scores_gemma":[0.91654885,0.000057932375,0.0817531,0.000023853438,0.000005594556,0.000073299416,0.000029347782,0.00004258617,0.0014655062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984515,0.00005122414,0.0000066030557,0.000022497528,0.000050118055,0.000024514618],"domain_scores_gemma":[0.99966586,0.00016852387,0.00005280563,0.000028213917,0.000058513084,0.00002615567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046940113,0.00043299064,0.00048292268,0.00030380933,0.00023378382,0.00040006055,0.00042507012,0.0004990087,0.0006811042],"category_scores_gemma":[0.0011653,0.00041042184,0.0002916986,0.00022489083,0.0004794544,0.00046186466,0.00059684314,0.00034456662,0.0001415653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007323404,0.00001339828,0.00022906023,0.000019013978,0.000011841522,0.000047252124,0.000045459474,0.97584665,0.006119628,0.0039000686,0.00015393151,0.013540478],"study_design_scores_gemma":[0.0000054297784,0.000027138021,0.00005992786,0.0000019029457,0.0000015698292,0.000008971327,0.0000046863715,0.9980538,0.001001753,0.0007409563,0.0000911009,0.0000028829195],"about_ca_topic_score_codex":0.0015957883,"about_ca_topic_score_gemma":0.0012391325,"teacher_disagreement_score":0.0015957883,"about_ca_system_score_codex":0.00038889548,"about_ca_system_score_gemma":0.00064854225,"threshold_uncertainty_score":0.0031729937},"labels":[],"label_agreement":null},{"id":"W2327134175","doi":"10.2514/6.2010-8449","title":"Star Tracking Using Colour CMOS Detectors","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"CMOS; Detector; Tracking (education); Computer science; Star (game theory); Physics; Optoelectronics; Astrophysics; Telecommunications","score_opus":0.009835228058523455,"score_gpt":0.220380909461391,"score_spread":0.21054568140286753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327134175","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046365865,0.0018192838,0.9382827,0.0002326996,0.00030439344,0.00006172026,0.00020529029,0.0016369862,0.01109099],"genre_scores_gemma":[0.35618454,0.0015022842,0.6313554,0.0005919481,0.00016596363,0.00007186907,0.00033121882,0.00013629225,0.009660386],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993593,0.000067691515,0.00002416084,0.00015374232,0.000349867,0.00004514093],"domain_scores_gemma":[0.99926895,0.00014979213,0.0001237274,0.000095222764,0.00031200313,0.000050325038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005231341,0.00038968035,0.00041151742,0.00089048967,0.00042484188,0.001143112,0.0009967497,0.0008194056,0.0013175624],"category_scores_gemma":[0.0011989344,0.00040380284,0.00031156014,0.0008896624,0.00042530158,0.0012480387,0.0010204532,0.00048502543,0.0014715609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003726481,0.00009611284,0.0071357125,0.00032571197,0.00009639806,0.00020688749,0.00026771263,0.008905464,0.70786035,0.017223366,0.004174034,0.2533357],"study_design_scores_gemma":[0.00008438625,0.00061706424,0.008223249,0.000095240626,0.00015875489,0.001929366,0.00012004723,0.16691525,0.74474025,0.0077268616,0.06915113,0.00023844755],"about_ca_topic_score_codex":0.0009889718,"about_ca_topic_score_gemma":0.002014072,"teacher_disagreement_score":0.0013175624,"about_ca_system_score_codex":0.0007611706,"about_ca_system_score_gemma":0.0004331192,"threshold_uncertainty_score":0.0055226684},"labels":[],"label_agreement":null},{"id":"W2327825018","doi":"10.2514/6.2010-8021","title":"A Reconfigurable Robot with Telescopic Links for In-Space Servicing","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Actuator; Kinematics; Robot; Robot end effector; Parallel manipulator; Mechanism (biology); Brake; Computer science; Control engineering; Trajectory; Control theory (sociology); Simulation; Engineering; Control (management); Artificial intelligence; Mechanical engineering; Physics","score_opus":0.007962405327011087,"score_gpt":0.21168100215542754,"score_spread":0.20371859682841645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327825018","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34876674,0.0012186047,0.63204026,0.0003923403,0.0001740953,0.00011465481,0.000094531104,0.0021646312,0.0150341485],"genre_scores_gemma":[0.8060276,0.00037181115,0.18580382,0.00008700179,0.000038111237,0.000071335744,0.00007306476,0.00004625078,0.007480989],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993634,0.000010265479,0.0000031379684,0.000015743186,0.000022872628,0.000011709289],"domain_scores_gemma":[0.9999201,0.000011238322,0.000027218006,0.00001634396,0.000010184457,0.000014986924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010424017,0.00030279785,0.00014373453,0.00019779117,0.00021362239,0.00023925691,0.00043480934,0.00032107852,0.0016750466],"category_scores_gemma":[0.000149158,0.000102874874,0.00018623678,0.00015008464,0.00029880478,0.00022264359,0.00022968798,0.00029920528,0.0004452377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021422571,0.0000819492,0.0011538864,0.00021054031,0.000027489463,0.00075802254,0.00022922539,0.03565342,0.7917326,0.021566918,0.0019866347,0.14638509],"study_design_scores_gemma":[0.0003171851,0.0048057227,0.008762753,0.000117204814,0.00016794275,0.0039779693,0.00024193237,0.3040859,0.5250595,0.0059329565,0.14634088,0.00018994887],"about_ca_topic_score_codex":0.0003697819,"about_ca_topic_score_gemma":0.00066944683,"teacher_disagreement_score":0.0016750466,"about_ca_system_score_codex":0.00017228615,"about_ca_system_score_gemma":0.00026017008,"threshold_uncertainty_score":0.005603552},"labels":[],"label_agreement":null},{"id":"W2328161671","doi":"10.2514/6.2011-6711","title":"Passivity-based Robust Design of Proportional-Derivative Navigation Guidance Law","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Guidance and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Passivity; Computer science; Control theory (sociology); Law; Engineering; Artificial intelligence; Political science; Electrical engineering; Control (management)","score_opus":0.031468944390060545,"score_gpt":0.21152052402742152,"score_spread":0.180051579637361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328161671","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009612681,0.000094499854,0.98769134,0.000050243616,0.000024065437,0.000042701107,0.000015305503,0.00020808724,0.0022610524],"genre_scores_gemma":[0.9063917,0.00019566726,0.08965882,0.00006314719,0.000035986915,0.00024639355,0.000057434965,0.000042233765,0.0033085865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950147,0.00009945189,0.000027689448,0.00013146443,0.00018867795,0.00005121835],"domain_scores_gemma":[0.9995234,0.00016114458,0.00010573008,0.000043434266,0.00014914258,0.000017180771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091282284,0.00095476856,0.0006705432,0.00038514167,0.00029526016,0.0011304612,0.00090468203,0.0007357478,0.001220042],"category_scores_gemma":[0.0017400541,0.00045412107,0.00047883464,0.00017200889,0.0008197926,0.00052914576,0.0008819372,0.0008353554,0.0003064414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012742302,0.000035015706,0.00036131963,0.00018574555,0.000046748984,0.00017613311,0.00017495721,0.88987523,0.026152551,0.024732169,0.0006371503,0.05749556],"study_design_scores_gemma":[0.000012457551,0.000094241426,0.0000897167,0.0000060878842,0.000007359094,0.000019742436,0.000004843142,0.9957165,0.0021605254,0.0011159335,0.00076597574,0.0000066020807],"about_ca_topic_score_codex":0.0027011388,"about_ca_topic_score_gemma":0.001159787,"teacher_disagreement_score":0.0027011388,"about_ca_system_score_codex":0.0005849431,"about_ca_system_score_gemma":0.001112813,"threshold_uncertainty_score":0.0053708553},"labels":[],"label_agreement":null},{"id":"W2328199054","doi":"10.2514/6.2010-7700","title":"Sliding Mode Recon¯gurable Control with Application to Longitudinal Control of Boeing 747","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sliding mode control; Control (management); Mode (computer interface); Computer science; Aeronautics; Engineering; Physics; Operating system; Artificial intelligence; Nonlinear system","score_opus":0.006742037509437409,"score_gpt":0.22146145712246113,"score_spread":0.2147194196130237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328199054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.120531164,0.0009027849,0.8686029,0.00023426031,0.0001247011,0.000048910137,0.00002460536,0.0007868968,0.008743706],"genre_scores_gemma":[0.9697472,0.00021648826,0.026744656,0.000026562428,0.000016618395,0.000029959765,0.000019977117,0.000010908603,0.0031876191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999928,0.000014297721,0.000004245551,0.000013325213,0.00003061187,0.000009441623],"domain_scores_gemma":[0.9999021,0.000025804906,0.000013604353,0.0000059480535,0.00004706081,0.0000053852223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022900265,0.00030556356,0.00019062823,0.00014779645,0.00023504684,0.0002594386,0.00025659267,0.0002110953,0.0008891413],"category_scores_gemma":[0.00028041942,0.00007364855,0.00012209412,0.00008834739,0.00023174142,0.0001514697,0.00020905683,0.00023862497,0.00011413109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022823429,0.00005649949,0.0015706171,0.0002534097,0.000033985103,0.0003333634,0.00041140628,0.6267879,0.06627498,0.011792312,0.001794892,0.29046237],"study_design_scores_gemma":[0.000009162578,0.00016068385,0.00040760802,0.0000072494886,0.0000058378914,0.000027169708,0.000017670767,0.9897446,0.006797777,0.0005712324,0.0022450888,0.0000058334053],"about_ca_topic_score_codex":0.0064215674,"about_ca_topic_score_gemma":0.0035017275,"teacher_disagreement_score":0.0064215674,"about_ca_system_score_codex":0.00022108329,"about_ca_system_score_gemma":0.00028288233,"threshold_uncertainty_score":0.012768388},"labels":[],"label_agreement":null},{"id":"W2328727338","doi":"10.2514/6.2016-1385","title":"Autonomous Position Control Analysis of Quadrotor Flight in Urban Wind Gust Conditions","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Aeronautics; Aerospace engineering; Position (finance); Aerodynamics; Wind power; Control (management); Computer science; Control theory (sociology); Marine engineering; Engineering; Artificial intelligence; Electrical engineering; Economics","score_opus":0.004189927986307442,"score_gpt":0.19756539938628814,"score_spread":0.1933754713999807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328727338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8369081,0.00043800726,0.14910711,0.00020463447,0.000052763797,0.000038526097,0.00008907292,0.00011064825,0.013051017],"genre_scores_gemma":[0.9986981,0.000029394976,0.0005498271,0.00000557671,0.0000034872244,0.0000032920232,0.000012359064,0.0000054892093,0.00069241744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993575,0.0000123136115,0.0000019977463,0.000011865704,0.000020591764,0.000017363487],"domain_scores_gemma":[0.9998472,0.000060544044,0.000029824576,0.000009212054,0.000043629458,0.000009616778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020083215,0.00029639705,0.0002728543,0.00022030306,0.00026789782,0.0005114877,0.00024833094,0.0002990077,0.0013977614],"category_scores_gemma":[0.00042434686,0.00015873577,0.00023062588,0.00013585175,0.0003666502,0.00024045297,0.0002722068,0.0002477194,0.00010656668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018746417,0.000033045522,0.0016324779,0.000045579563,0.000025468476,0.00019687394,0.00007786482,0.9758078,0.009223716,0.0044082827,0.0003636672,0.007997784],"study_design_scores_gemma":[0.0000026104346,0.000022295666,0.0006505891,6.5190886e-7,0.0000016500272,0.0000063320085,0.000009994603,0.9988901,0.00022137346,0.00015929094,0.000033737768,0.0000013227159],"about_ca_topic_score_codex":0.015368263,"about_ca_topic_score_gemma":0.008513247,"teacher_disagreement_score":0.015368263,"about_ca_system_score_codex":0.00040449863,"about_ca_system_score_gemma":0.0003541918,"threshold_uncertainty_score":0.030557573},"labels":[],"label_agreement":null},{"id":"W2329752695","doi":"10.2514/6.2016-2102","title":"Robust Design of Close Formation Flight Control via Uncertainty and Disturbance Estimator","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Disturbance (geology); Estimator; Robust control; Control theory (sociology); Robustness (evolution); Computer science; Control (management); Control system; Engineering; Mathematics; Statistics; Artificial intelligence; Geology; Geomorphology","score_opus":0.01573220899629899,"score_gpt":0.20494004018566042,"score_spread":0.18920783118936144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329752695","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015750904,0.00020120174,0.98225546,0.00009072203,0.00006649923,0.000026011341,0.000015487502,0.00014223975,0.0014515116],"genre_scores_gemma":[0.95456594,0.0001877506,0.042317476,0.000071963754,0.00006487305,0.000114347495,0.00006443621,0.000041677675,0.002571618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993426,0.00015610571,0.00002683913,0.00018016956,0.00021560182,0.00007868405],"domain_scores_gemma":[0.999132,0.00038062932,0.00014493371,0.000061537816,0.0002423614,0.000038511436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012090921,0.000901053,0.0012890999,0.00045393713,0.0005529299,0.001311922,0.00096949935,0.0011985182,0.0018197362],"category_scores_gemma":[0.003605677,0.0006308231,0.0005624635,0.00026674604,0.0010066,0.0010246641,0.0014114691,0.0009615738,0.00025462377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022999205,0.000064625114,0.00038769262,0.00017106559,0.000075299766,0.00012816548,0.00017531212,0.92833084,0.009537611,0.01537004,0.000894956,0.04463445],"study_design_scores_gemma":[0.000019412993,0.000114935894,0.00015917506,0.000005628782,0.000008032964,0.000017516999,0.0000079683605,0.9967918,0.00093249575,0.0015607723,0.00037322514,0.000009039906],"about_ca_topic_score_codex":0.0036995008,"about_ca_topic_score_gemma":0.002221364,"teacher_disagreement_score":0.0036995008,"about_ca_system_score_codex":0.00054364296,"about_ca_system_score_gemma":0.0008004367,"threshold_uncertainty_score":0.0073559284},"labels":[],"label_agreement":null},{"id":"W2329766535","doi":"10.2514/6.2010-8419","title":"Two Reconfigurable Control Allocation Schemes for Unmanned Aerial Vehicle under Stuck Actuator Failures","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quanser (Canada); Defence Research and Development Canada; Concordia University","funders":"","keywords":"Actuator; Computer science; Control (management); Embedded system; Artificial intelligence","score_opus":0.008212433905174947,"score_gpt":0.234553915149353,"score_spread":0.22634148124417805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329766535","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28641155,0.00047772937,0.7093363,0.00010626627,0.00011948908,0.000079427184,0.000022476182,0.0009691389,0.0024775895],"genre_scores_gemma":[0.96036834,0.000048698665,0.03870265,0.00002494242,0.000015557564,0.000023638238,0.00001303416,0.000010781641,0.0007923891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998406,0.000024503686,0.000010748322,0.00004514187,0.00004230491,0.00003667237],"domain_scores_gemma":[0.9996679,0.00006927812,0.00009911563,0.000079030084,0.00005641162,0.000028340452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019777515,0.00049367937,0.0003344013,0.00031108112,0.0002814434,0.0003268278,0.0008843645,0.00037803323,0.0006787003],"category_scores_gemma":[0.000733497,0.00011506628,0.0002432558,0.00017451405,0.00035312603,0.00043918245,0.00032176616,0.00035457307,0.00010134618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000591485,0.00013523713,0.0015180866,0.00012415314,0.000065636836,0.00032427584,0.00023299236,0.49125427,0.07760513,0.0058846786,0.00081831124,0.42144576],"study_design_scores_gemma":[0.00008711312,0.00043797444,0.0016363037,0.000013196691,0.00003428322,0.00023487727,0.000052248957,0.95191336,0.042077437,0.0018691086,0.0016114814,0.000032549713],"about_ca_topic_score_codex":0.0013891053,"about_ca_topic_score_gemma":0.0015425157,"teacher_disagreement_score":0.0013891053,"about_ca_system_score_codex":0.00026181812,"about_ca_system_score_gemma":0.00027810043,"threshold_uncertainty_score":0.0027620196},"labels":[],"label_agreement":null},{"id":"W2329891471","doi":"10.2514/6.2014-0091","title":"Control Algorithms for Satellite Rendezvous Maneuver in Elliptical Orbit","year":2014,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Rendezvous; Elliptic orbit; Satellite; Computer science; Orbit (dynamics); Algorithm; Geodesy; Aerospace engineering; Physics; Engineering; Astronomy; Spacecraft; Geology","score_opus":0.007348087339431056,"score_gpt":0.2135427731180171,"score_spread":0.20619468577858602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329891471","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022254532,0.00045681887,0.9710074,0.0001768473,0.000087328954,0.000042890246,0.000031038096,0.0001532665,0.0057898303],"genre_scores_gemma":[0.9012663,0.00053478696,0.089987524,0.000100763704,0.00009964496,0.00016907864,0.00009013108,0.000074843105,0.0076769944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998466,0.000031670177,0.000010839362,0.000029396859,0.000057174722,0.000024305351],"domain_scores_gemma":[0.9996644,0.00016194645,0.00004159744,0.000017348346,0.00010435557,0.000010353394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005287706,0.0005952797,0.000528936,0.00039859553,0.00047976073,0.0008457631,0.0006035845,0.00062770717,0.0026121868],"category_scores_gemma":[0.0018408552,0.00025988297,0.00028307392,0.00042835035,0.00046438118,0.00065686094,0.0007872056,0.0007572251,0.00035690088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010569721,0.000032437943,0.00028570544,0.00007752193,0.000021233636,0.000036034136,0.00014977799,0.87602353,0.0020418467,0.025763799,0.0012029955,0.0942594],"study_design_scores_gemma":[0.000012269203,0.000018926281,0.0000607111,0.000003998401,0.000002879946,0.0000057588613,0.000011259197,0.9971041,0.00023278248,0.0022162567,0.000328596,0.000002398733],"about_ca_topic_score_codex":0.008501434,"about_ca_topic_score_gemma":0.0049652387,"teacher_disagreement_score":0.008501434,"about_ca_system_score_codex":0.00047045766,"about_ca_system_score_gemma":0.00050333823,"threshold_uncertainty_score":0.016903937},"labels":[],"label_agreement":null},{"id":"W2330455006","doi":"10.2514/6.2009-5893","title":"Adaptive Neuro-Fuzzy Controllers for an Open Loop Morphing Wing System","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Morphing; Computer science; Open-loop controller; Neuro-fuzzy; Wing; Control theory (sociology); Fuzzy control system; Artificial intelligence; Control engineering; Fuzzy logic; Closed loop; Engineering; Aerospace engineering; Control (management)","score_opus":0.029452438238753605,"score_gpt":0.2593251782537504,"score_spread":0.2298727400149968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330455006","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30063802,0.00048334544,0.6811803,0.00038475505,0.00031394378,0.00009596968,0.00007461976,0.00046060438,0.016368356],"genre_scores_gemma":[0.9861281,0.000058024678,0.0112505015,0.000032974334,0.000015426589,0.000029697783,0.000014306368,0.0000049542964,0.00246603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993956,0.000009354168,0.0000042855754,0.000013999562,0.000022273267,0.000010526084],"domain_scores_gemma":[0.9998765,0.00003796956,0.000019151068,0.000008595261,0.00004949454,0.0000082454235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021429357,0.00033487345,0.00026257834,0.00016207116,0.00047676414,0.00045189698,0.00050148106,0.00059157383,0.0015182449],"category_scores_gemma":[0.00044306045,0.00013112229,0.00020616403,0.00013332996,0.00036290076,0.00022316963,0.0003886292,0.00040930146,0.00013673575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003055992,0.00006487181,0.00084400503,0.0001035765,0.000047951213,0.00039143232,0.00018396908,0.8835744,0.037894085,0.0061536687,0.00091494684,0.06952144],"study_design_scores_gemma":[0.000017111783,0.00006177099,0.0002899501,0.000003158242,0.000008566533,0.000018681234,0.000007722114,0.9974712,0.0013271291,0.00041171213,0.00037813524,0.00000488287],"about_ca_topic_score_codex":0.008010591,"about_ca_topic_score_gemma":0.007562693,"teacher_disagreement_score":0.008010591,"about_ca_system_score_codex":0.0003174428,"about_ca_system_score_gemma":0.00033081058,"threshold_uncertainty_score":0.01592791},"labels":[],"label_agreement":null},{"id":"W2330551476","doi":"10.2514/6.2014-0601","title":"A Robust and Self-Scheduled Longitudinal Flight Control System: a Multi-Model and Structured H-infinity Approach","year":2014,"lang":"en","type":"preprint","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flight envelope; Control theory (sociology); Gain scheduling; Computer science; Robust control; Context (archaeology); A priori and a posteriori; Control engineering; Control system; Aerodynamics; Engineering; Control (management); Aerospace engineering","score_opus":0.02251623493163055,"score_gpt":0.21828496490388538,"score_spread":0.19576872997225483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330551476","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025412971,0.00022202208,0.96814996,0.00022705949,0.00007628,0.00003591746,0.00006517864,0.00019323287,0.005617247],"genre_scores_gemma":[0.9531414,0.00019811456,0.04099694,0.000112770256,0.00007902579,0.00009159934,0.00009527813,0.00003472421,0.005250094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981755,0.000046336245,0.000007857724,0.000052518517,0.00005834998,0.000017396404],"domain_scores_gemma":[0.9997731,0.00006726467,0.000049275797,0.000017553146,0.00007628696,0.000016581875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039234705,0.000633554,0.0006724195,0.00023940638,0.0003901199,0.00079539785,0.0006205095,0.0010484048,0.0020937328],"category_scores_gemma":[0.0008097914,0.00026103397,0.00055424054,0.00019870399,0.0004482639,0.00061490986,0.0008468573,0.0006661441,0.0003423925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008997624,0.00003501031,0.00024925682,0.00011246794,0.000037212667,0.00014718303,0.000101885584,0.94632137,0.009618123,0.017634925,0.00091303344,0.024739495],"study_design_scores_gemma":[0.000006474809,0.000053645734,0.00006781593,0.00000389151,0.000004809871,0.000012694857,0.0000058430683,0.99760383,0.00035438142,0.0016650697,0.00021701033,0.0000046001455],"about_ca_topic_score_codex":0.002696952,"about_ca_topic_score_gemma":0.001959741,"teacher_disagreement_score":0.002696952,"about_ca_system_score_codex":0.00037749376,"about_ca_system_score_gemma":0.0006144998,"threshold_uncertainty_score":0.007004261},"labels":[],"label_agreement":null},{"id":"W2330659698","doi":"10.2514/6.2009-5787","title":"Robust Control of a Vibrating Beam Using the Hybrid Passivity and Finite Gain Stability Theorem","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Passivity; Control theory (sociology); Stability (learning theory); Beam (structure); Small-gain theorem; Robust control; Automatic gain control; Mathematics; Control (management); Physics; Computer science; Control system; Engineering; Electrical engineering; Optics; Telecommunications","score_opus":0.015497333387372393,"score_gpt":0.20649160743214162,"score_spread":0.19099427404476924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330659698","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014105067,0.000080341575,0.9834659,0.000061507206,0.000013387773,0.000011576565,0.000012323822,0.0001207452,0.0021291801],"genre_scores_gemma":[0.9339686,0.00019272049,0.063261844,0.000067667446,0.000030426983,0.00018365226,0.000038767757,0.00003127221,0.0022251052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997857,0.00005481017,0.000010179611,0.00003646746,0.00009124253,0.000021553342],"domain_scores_gemma":[0.9997009,0.00017400224,0.000052400832,0.00002167992,0.00004329763,0.000007753574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053002784,0.0004655267,0.00042701632,0.00017158153,0.00018038247,0.0006874701,0.0005041382,0.00040870727,0.0012597775],"category_scores_gemma":[0.0008927011,0.00018270077,0.00043313496,0.0001143071,0.000737934,0.0004278331,0.0006660612,0.00054450333,0.0001436641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013628419,0.000032862787,0.00040229745,0.00014935905,0.00008507561,0.0001646559,0.00013988004,0.78921527,0.0776795,0.092469886,0.0007108683,0.038814094],"study_design_scores_gemma":[0.000019920506,0.00014198058,0.00020377482,0.000010665444,0.0000111535555,0.000031703363,0.000008805083,0.9841859,0.0041073454,0.010539888,0.00072814885,0.000010722107],"about_ca_topic_score_codex":0.0013536866,"about_ca_topic_score_gemma":0.00067905,"teacher_disagreement_score":0.0013536866,"about_ca_system_score_codex":0.0003256183,"about_ca_system_score_gemma":0.00037864942,"threshold_uncertainty_score":0.0042143464},"labels":[],"label_agreement":null},{"id":"W2330895721","doi":"10.2514/6.2014-0264","title":"Indoor Simulation Platform for Forest Fire Detection and Surveillance","year":2014,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Remote sensing; Computer science; Fire detection; Environmental science; Architectural engineering; Geography; Engineering","score_opus":0.006963163968236843,"score_gpt":0.21522178090226804,"score_spread":0.2082586169340312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330895721","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11940401,0.00015349827,0.8173548,0.0003135919,0.00026134477,0.00053137075,0.0039332695,0.026969709,0.031078314],"genre_scores_gemma":[0.7034547,0.00029029857,0.27905422,0.000101675876,0.000030906176,0.0010163483,0.004358973,0.0011757531,0.010517199],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997482,0.00007745777,0.00001544148,0.00003634651,0.00008257132,0.00003993487],"domain_scores_gemma":[0.99952877,0.0001737718,0.00003133235,0.00008209393,0.0001089052,0.00007511009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000412952,0.00064818386,0.0005702279,0.00045050407,0.00041942517,0.0006626103,0.0014478348,0.00052921684,0.014036657],"category_scores_gemma":[0.0008374227,0.00029378568,0.00067012024,0.0003367476,0.00029449488,0.00046517872,0.00070626824,0.00073749706,0.001651717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038715187,0.00041100336,0.00279961,0.00018391616,0.00007626577,0.00016510587,0.00016947917,0.9253127,0.013111932,0.0075634355,0.008620367,0.041199],"study_design_scores_gemma":[0.000060316186,0.00008923834,0.0005942245,0.000013285972,0.000019357374,0.00002752946,0.000032977652,0.98192626,0.0057771797,0.001071375,0.01036469,0.0000236378],"about_ca_topic_score_codex":0.009164836,"about_ca_topic_score_gemma":0.009781709,"teacher_disagreement_score":0.014036657,"about_ca_system_score_codex":0.0005867774,"about_ca_system_score_gemma":0.0010604816,"threshold_uncertainty_score":0.046957314},"labels":[],"label_agreement":null},{"id":"W2331438631","doi":"10.2514/6.2010-7844","title":"Direct Model Reference Adaptive Control of a Flexible Joint Robot","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Deutsches Zentrum für Luft- und Raumfahrt","keywords":"Computer science; Joint (building); Adaptive control; Robot; Reference model; Robot control; Control (management); Robot kinematics; Control theory (sociology); Control engineering; Mobile robot; Artificial intelligence; Engineering","score_opus":0.015443091378605908,"score_gpt":0.2137331252632871,"score_spread":0.1982900338846812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331438631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0680465,0.0002283052,0.9233925,0.000121809695,0.00011431487,0.000031929303,0.00001568943,0.00075494027,0.00729395],"genre_scores_gemma":[0.96032345,0.000109095796,0.035399027,0.00003484295,0.00002592387,0.000054811262,0.00002033965,0.000015271893,0.0040172185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989605,0.000018475339,0.0000036086456,0.000029016684,0.000041901465,0.000010876267],"domain_scores_gemma":[0.9998343,0.00004564296,0.000032708427,0.00002901968,0.000045927736,0.000012494046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025314215,0.000337476,0.00023216009,0.00012964071,0.0002090991,0.0003998255,0.0005136453,0.00033158893,0.00097461237],"category_scores_gemma":[0.00049628614,0.00015550284,0.00024461874,0.00012938718,0.00038097092,0.00025976877,0.0005090022,0.0005047324,0.0002207143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002040335,0.000067382956,0.00046340545,0.00011616102,0.00004393851,0.00022522913,0.0001477655,0.8010416,0.07138927,0.012568011,0.0013419756,0.11239115],"study_design_scores_gemma":[0.00001946959,0.00013288931,0.00022005485,0.0000031948002,0.000005741352,0.00003234515,0.0000055196147,0.9950153,0.0026539266,0.00086681626,0.0010386362,0.0000060904704],"about_ca_topic_score_codex":0.002128734,"about_ca_topic_score_gemma":0.0019818556,"teacher_disagreement_score":0.002128734,"about_ca_system_score_codex":0.00018664084,"about_ca_system_score_gemma":0.00031096485,"threshold_uncertainty_score":0.004232645},"labels":[],"label_agreement":null},{"id":"W2331649965","doi":"10.2514/6.2016-0088","title":"Formulation of Torque-Optimal Guidance Trajectories for a CubeSat with Degraded Reaction Wheels","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Aeronautics and Space Administration","keywords":"CubeSat; Torque; Computer science; Control theory (sociology); Automotive engineering; Aeronautics; Aerospace engineering; Engineering; Physics; Artificial intelligence; Control (management)","score_opus":0.007099228203784472,"score_gpt":0.2043370638228224,"score_spread":0.19723783561903793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331649965","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006709446,0.00018785388,0.9853994,0.00026237572,0.000059557984,0.000072952826,0.000094638846,0.00012021742,0.0070935013],"genre_scores_gemma":[0.62839913,0.00082843646,0.34309027,0.0003041978,0.00015525462,0.00066525326,0.0005254275,0.00027166557,0.025760291],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978524,0.000041250492,0.000008682932,0.00003917048,0.000097353965,0.000028297161],"domain_scores_gemma":[0.99968576,0.00011205774,0.00005253859,0.000013992819,0.00011078382,0.000024780651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050621014,0.0009948038,0.0006726335,0.00050756446,0.00045352583,0.0011239283,0.00085346686,0.0015539972,0.0040073497],"category_scores_gemma":[0.0012566797,0.0005542078,0.0005410585,0.00034982857,0.0007326357,0.00060048373,0.00093397294,0.0009520906,0.00069040235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017418157,0.000007250098,0.000112494774,0.000032005286,0.000006031311,0.00005181458,0.000030105666,0.9842008,0.00070109847,0.010237834,0.0005581959,0.0040449044],"study_design_scores_gemma":[0.000004786021,0.0000080042755,0.000025175705,0.0000036380934,0.0000010374481,0.0000054848247,0.000007255527,0.9977519,0.000099239274,0.0015106569,0.0005801821,0.0000026098783],"about_ca_topic_score_codex":0.014084893,"about_ca_topic_score_gemma":0.0072291247,"teacher_disagreement_score":0.014084893,"about_ca_system_score_codex":0.0012086729,"about_ca_system_score_gemma":0.0018164624,"threshold_uncertainty_score":0.028005838},"labels":[],"label_agreement":null},{"id":"W2331699337","doi":"10.2514/6.2012-5001","title":"Color Star Tracking Using 3CCD Prism Hardware","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Tracking (education); Prism; Star (game theory); Computer graphics (images); Computer vision; Artificial intelligence; Computer hardware; Physics; Optics; Astrophysics","score_opus":0.01796839848868129,"score_gpt":0.23586982986423027,"score_spread":0.217901431375549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331699337","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054641135,0.00036310148,0.92810535,0.00012601685,0.00017890515,0.00008427267,0.00022099169,0.0049853805,0.011294771],"genre_scores_gemma":[0.42113858,0.00030001605,0.5709636,0.00014840714,0.000034863046,0.000058261743,0.00043990227,0.00015978348,0.006756583],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992888,0.00008402552,0.00002835722,0.0001232884,0.00042250787,0.000052956242],"domain_scores_gemma":[0.99905556,0.0001546485,0.0001237345,0.0002300317,0.0003727418,0.00006324702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062921987,0.00041213617,0.00029619873,0.00047604012,0.00025750828,0.00084147527,0.0011673388,0.000508141,0.0039409194],"category_scores_gemma":[0.0016223135,0.00030623053,0.00031694322,0.00058375037,0.0002938916,0.0007757387,0.0009751386,0.0004416557,0.0012710503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058228674,0.00013001292,0.0063737854,0.00044612767,0.00008194614,0.00039244597,0.0002511829,0.056154788,0.4666721,0.02234155,0.006531364,0.44004244],"study_design_scores_gemma":[0.000121563055,0.0009924308,0.007999127,0.00006362263,0.00008690546,0.0013798065,0.0000966891,0.4214005,0.50529146,0.0021135474,0.060316104,0.00013828759],"about_ca_topic_score_codex":0.0027266573,"about_ca_topic_score_gemma":0.0046885842,"teacher_disagreement_score":0.0039409194,"about_ca_system_score_codex":0.0007580196,"about_ca_system_score_gemma":0.001330676,"threshold_uncertainty_score":0.013183653},"labels":[],"label_agreement":null},{"id":"W2332732686","doi":"10.2514/6.2009-6289","title":"Coordinated Attitude Control of Spacecraft Formation Without Angular Velocity Feedback: A Decentralized Approach","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Spacecraft; Angular velocity; Attitude control; Control theory (sociology); Feedback control; Control (management); Computer science; Aerospace engineering; Physics; Control engineering; Engineering; Classical mechanics; Artificial intelligence","score_opus":0.011765703160408586,"score_gpt":0.23654384507103976,"score_spread":0.22477814191063117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332732686","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0124053825,0.000085835665,0.98606783,0.000060062954,0.000025002124,0.0000130262315,0.000006056172,0.00010781688,0.0012290181],"genre_scores_gemma":[0.9057893,0.00017972224,0.09212562,0.00004857077,0.00006956381,0.00008871504,0.000037939895,0.000026730326,0.0016339375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997608,0.000050868068,0.0000104014525,0.00006643912,0.000085832704,0.000025724212],"domain_scores_gemma":[0.9996823,0.0000843378,0.000066570385,0.000048800644,0.0000908749,0.000027008346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002996432,0.00039570508,0.00049264607,0.00025001628,0.00032833376,0.00043104973,0.0006778958,0.00039498718,0.0005966372],"category_scores_gemma":[0.00068488665,0.00020534945,0.00030783698,0.00022627984,0.00045731288,0.0005095172,0.0007419756,0.00051045395,0.00015531627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107265834,0.000061658466,0.00061729044,0.000113058064,0.000047835558,0.00012910429,0.00017397152,0.8450524,0.023418587,0.022859242,0.000896853,0.10652278],"study_design_scores_gemma":[0.000024932808,0.00008551153,0.00012283867,0.0000041484636,0.000009546548,0.000025138474,0.000012908402,0.9929148,0.0017902999,0.004146484,0.00085807085,0.000005308481],"about_ca_topic_score_codex":0.0011528367,"about_ca_topic_score_gemma":0.0010938513,"teacher_disagreement_score":0.0011528367,"about_ca_system_score_codex":0.0002822326,"about_ca_system_score_gemma":0.0005494907,"threshold_uncertainty_score":0.0022922158},"labels":[],"label_agreement":null},{"id":"W2332915257","doi":"10.2514/6.2010-8197","title":"A Novel Single Thruster Control Strategy for Spacecraft Attitude Stabilization","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Attitude control; Spacecraft; Aerospace engineering; Control theory (sociology); Control (management); Computer science; Engineering; Artificial intelligence","score_opus":0.022569753623792013,"score_gpt":0.24424209655156714,"score_spread":0.22167234292777513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332915257","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05950579,0.00090691063,0.9259836,0.00017445527,0.00047816357,0.00008931674,0.000053585114,0.00057254673,0.012235648],"genre_scores_gemma":[0.8683397,0.00046596277,0.11559122,0.00020332639,0.00023391479,0.00014233212,0.000098366676,0.000050801453,0.014874387],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989414,0.00001023287,0.000006707348,0.00003305032,0.00003946397,0.000016436961],"domain_scores_gemma":[0.9999256,0.000012116759,0.000014154272,0.000008566492,0.000029011815,0.000010541428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013432546,0.0005908104,0.000769733,0.00034698026,0.00039098776,0.0005065423,0.0010078369,0.0005505875,0.003356888],"category_scores_gemma":[0.00017395781,0.0001842859,0.00031064783,0.00030130296,0.00019529091,0.00051928405,0.00053739344,0.00036876716,0.00060646946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006361563,0.0002745946,0.00051497365,0.00047263067,0.00013682811,0.0005202632,0.00021270063,0.11607514,0.2929461,0.01883651,0.0058475835,0.5635265],"study_design_scores_gemma":[0.00010480795,0.00072121475,0.00054596615,0.000014482676,0.00004508641,0.0002626249,0.000022579945,0.9794206,0.012359092,0.0022251215,0.0042508068,0.000027616996],"about_ca_topic_score_codex":0.0009150622,"about_ca_topic_score_gemma":0.0014757633,"teacher_disagreement_score":0.003356888,"about_ca_system_score_codex":0.0001570668,"about_ca_system_score_gemma":0.0002687556,"threshold_uncertainty_score":0.011229873},"labels":[],"label_agreement":null},{"id":"W2333291351","doi":"10.2514/6.2009-6268","title":"Receding Horizon Model-Based Predictive Control for Dynamic Target Tracking: a Comparative Study","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Model predictive control; Computer science; Horizon; Control theory (sociology); Tracking (education); Control (management); Artificial intelligence; Mathematics; Psychology","score_opus":0.022253175790572923,"score_gpt":0.2748606699265364,"score_spread":0.2526074941359635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333291351","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29139757,0.01259233,0.6504486,0.0005568627,0.00028311295,0.00015843287,0.0000992211,0.00080919254,0.04365458],"genre_scores_gemma":[0.98417443,0.0016442819,0.012775612,0.000030657953,0.00003541078,0.000028385659,0.000042189447,0.000015910737,0.0012531114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996669,0.00008401067,0.000014568963,0.000046420064,0.00015268296,0.000035484973],"domain_scores_gemma":[0.99875677,0.00079021486,0.00008873777,0.000083530445,0.00025318124,0.000027643102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010677344,0.00037923703,0.00069331564,0.00045606936,0.00026691065,0.0009096373,0.00065333187,0.0005629422,0.00093163154],"category_scores_gemma":[0.003248436,0.00017681762,0.00035608778,0.000445793,0.00028941655,0.0009073958,0.00036440627,0.00072960835,0.00014151994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038852784,0.00013981028,0.0012622431,0.00040444915,0.00008273498,0.00014030607,0.00011757206,0.87240267,0.0023009188,0.0062549487,0.00071557466,0.11579027],"study_design_scores_gemma":[0.000011136493,0.000159384,0.00052400783,0.0000093667495,0.000020190966,0.000026277314,0.000020882999,0.9973465,0.0008958945,0.000527809,0.00045061615,0.000007919718],"about_ca_topic_score_codex":0.009957259,"about_ca_topic_score_gemma":0.0043120626,"teacher_disagreement_score":0.009957259,"about_ca_system_score_codex":0.0005593691,"about_ca_system_score_gemma":0.00055216067,"threshold_uncertainty_score":0.019798577},"labels":[],"label_agreement":null},{"id":"W2333419597","doi":"10.2514/6.2016-0368","title":"A Bang-Bang Attitude Stabilizer for Rotating Rigid Bodies","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stabilizer (aeronautics); Control theory (sociology); Attitude control; Computer science; Physics; Aerospace engineering; Engineering; Control (management); Artificial intelligence","score_opus":0.0147695046929532,"score_gpt":0.2353266410439117,"score_spread":0.2205571363509585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333419597","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051003456,0.00068623305,0.9356391,0.00011969012,0.00017336546,0.00008074669,0.00005449508,0.002422222,0.009820713],"genre_scores_gemma":[0.83081436,0.00045494112,0.15432705,0.00012240313,0.000057477726,0.00012396675,0.00010256544,0.00008705745,0.013910136],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999417,0.0000061212722,0.0000036680153,0.000012589861,0.00003039348,0.0000054611273],"domain_scores_gemma":[0.9999596,0.000007291289,0.00000839729,0.0000069379103,0.000013338705,0.0000045440256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000088731635,0.00026614705,0.00019897358,0.00015047955,0.0001882718,0.000271559,0.00027822083,0.00028628032,0.0017224271],"category_scores_gemma":[0.00015980615,0.0001140695,0.00017449757,0.00008069624,0.00018996758,0.00018481418,0.00019639413,0.00030460808,0.00058201206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028328574,0.00008268131,0.0006095872,0.000434423,0.00006591872,0.0003552889,0.00020422704,0.093841456,0.6158616,0.029213622,0.002277724,0.25677016],"study_design_scores_gemma":[0.00012785339,0.0011554003,0.0016567985,0.000049545102,0.000064751504,0.00035350645,0.000041613235,0.87434936,0.08821471,0.004604505,0.029330516,0.00005143633],"about_ca_topic_score_codex":0.0008406382,"about_ca_topic_score_gemma":0.0007648916,"teacher_disagreement_score":0.0017224271,"about_ca_system_score_codex":0.00009617538,"about_ca_system_score_gemma":0.0001980074,"threshold_uncertainty_score":0.0057621},"labels":[],"label_agreement":null},{"id":"W2333469039","doi":"10.2514/6.2010-8317","title":"Dynamic Mapping of Forest Fire Fronts Using Multiple Unmanned Aerial Vehicles","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Remote sensing; Aeronautics; Environmental science; Aerospace engineering; Engineering; Geology","score_opus":0.007362407037770482,"score_gpt":0.2140429955147622,"score_spread":0.20668058847699172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333469039","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.107429326,0.00016634932,0.89040565,0.00006161844,0.000032521304,0.000031563715,0.000045676883,0.0005942604,0.0012329642],"genre_scores_gemma":[0.79072785,0.00011521589,0.20711729,0.000020530415,0.00002096887,0.000036948226,0.00011661883,0.000049207276,0.0017954543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998443,0.000016356631,0.0000060022294,0.000044011795,0.00006134383,0.000027897802],"domain_scores_gemma":[0.9998252,0.000040341758,0.00004217905,0.00002825633,0.000042768486,0.000021224985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023525287,0.00062939257,0.0004838034,0.0006744042,0.00045140812,0.00054902345,0.00063841674,0.0003346526,0.00074561854],"category_scores_gemma":[0.000738664,0.0003810036,0.00045785483,0.000327838,0.0002739982,0.0007783189,0.00066611194,0.0006062149,0.00021278627],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002114128,0.000070805065,0.004115048,0.00005252571,0.00007078603,0.00022127174,0.00025062618,0.61552435,0.024238389,0.0037933066,0.00070257136,0.3507489],"study_design_scores_gemma":[0.000007637919,0.000028023762,0.0011682367,0.000004695857,0.0000067654273,0.00004563592,0.000038660404,0.99245596,0.0039626574,0.0014812495,0.0007921189,0.000008326603],"about_ca_topic_score_codex":0.0072787474,"about_ca_topic_score_gemma":0.008104272,"teacher_disagreement_score":0.0072787474,"about_ca_system_score_codex":0.0005180743,"about_ca_system_score_gemma":0.0005077101,"threshold_uncertainty_score":0.014472723},"labels":[],"label_agreement":null},{"id":"W2333750331","doi":"10.2514/6.2010-7706","title":"Model-Based Predictive Control of Insect-Like Flapping Wing Aerial Micro-Robot","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flapping; Computer science; Robot; Wing; Biomimetics; Control (management); Control theory (sociology); Artificial intelligence; Engineering; Aerospace engineering","score_opus":0.010630084909644615,"score_gpt":0.20557836214489808,"score_spread":0.19494827723525346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333750331","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0762075,0.00041428066,0.9172301,0.00012534896,0.00006851866,0.000033867964,0.000036154208,0.0004620815,0.005422017],"genre_scores_gemma":[0.9810801,0.00014042537,0.017564893,0.000025404708,0.0000120985505,0.000043936732,0.000022325292,0.000009141038,0.0011016922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993336,0.000011410641,0.000002494176,0.000015161458,0.000028388342,0.000009194889],"domain_scores_gemma":[0.99991,0.00002706561,0.00002205734,0.000010910639,0.000022782531,0.0000072279136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015414349,0.0003259522,0.0003375246,0.0001042691,0.00022529559,0.00030252256,0.0005083992,0.00027221197,0.00060442416],"category_scores_gemma":[0.0002895507,0.00015953438,0.00017612772,0.00011060041,0.00033818136,0.00025524967,0.00029684982,0.000354961,0.00009018488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043851924,0.000017580518,0.00022615236,0.00005289158,0.000013701504,0.000079931335,0.000049498383,0.9572225,0.011319665,0.0047608665,0.0005154644,0.025697976],"study_design_scores_gemma":[0.00000394073,0.000024599776,0.00007098352,0.0000015719903,0.0000022070292,0.000006089435,0.0000023648722,0.9985979,0.0006660535,0.00037256343,0.00024996832,0.0000017848982],"about_ca_topic_score_codex":0.0047871843,"about_ca_topic_score_gemma":0.004240685,"teacher_disagreement_score":0.0047871843,"about_ca_system_score_codex":0.00024355286,"about_ca_system_score_gemma":0.00030449656,"threshold_uncertainty_score":0.009518623},"labels":[],"label_agreement":null},{"id":"W2333856233","doi":"10.2514/6.2010-8210","title":"UAV Motion Estimation Using Low Quality Image Features","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer vision; Computer science; Motion estimation; Artificial intelligence; Estimation; Motion (physics); Quality (philosophy); Image quality; Image (mathematics); Engineering","score_opus":0.00885383972714633,"score_gpt":0.2485754139540664,"score_spread":0.2397215742269201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333856233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15469512,0.00071835186,0.8412466,0.0001247856,0.000090293885,0.000054035907,0.000199851,0.00064096175,0.0022300251],"genre_scores_gemma":[0.7853883,0.00045159864,0.21090905,0.00006726345,0.00006907126,0.000038883387,0.00039413577,0.00008305864,0.0025986787],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997738,0.00002535327,0.000008852448,0.000047034937,0.00011241207,0.00003255508],"domain_scores_gemma":[0.99960834,0.00009620035,0.00006783014,0.000053038486,0.00015433703,0.00002027081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024327716,0.00051553565,0.0005139075,0.00090600655,0.00023054957,0.0006775057,0.00033271557,0.00054411107,0.0008713105],"category_scores_gemma":[0.0015442123,0.00038867292,0.0003268509,0.00070573745,0.00022997131,0.0008652465,0.00042539646,0.0005249945,0.00041461343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008500457,0.00014214363,0.006771816,0.00021192088,0.00014370687,0.0002536883,0.00010727957,0.10524189,0.27742192,0.0020163176,0.0019817834,0.6048576],"study_design_scores_gemma":[0.000055616005,0.00019864504,0.012270303,0.000028249377,0.00006889722,0.00019133443,0.000038103524,0.9242524,0.0601786,0.00089927105,0.0017939332,0.000024724211],"about_ca_topic_score_codex":0.003709624,"about_ca_topic_score_gemma":0.0053083287,"teacher_disagreement_score":0.003709624,"about_ca_system_score_codex":0.00022477227,"about_ca_system_score_gemma":0.0003668684,"threshold_uncertainty_score":0.007376015},"labels":[],"label_agreement":null},{"id":"W2334585346","doi":"10.2514/6.2010-7710","title":"Reduced Input Control of an Underactuated Satellite Formation","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Underactuation; Satellite; Computer science; Control (management); Control theory (sociology); Aerospace engineering; Artificial intelligence; Engineering","score_opus":0.005227213541614933,"score_gpt":0.20875032159274098,"score_spread":0.20352310805112606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334585346","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2740301,0.00038338837,0.7090543,0.00019851183,0.00018396918,0.0000803784,0.000058634112,0.0011285279,0.014882217],"genre_scores_gemma":[0.9815108,0.00010967685,0.015164258,0.00002556973,0.000012051407,0.00003374194,0.000025169105,0.000010411031,0.003108308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998847,0.000021422411,0.0000054657035,0.000020650457,0.000053297532,0.000014374923],"domain_scores_gemma":[0.9998914,0.000024095376,0.000024109606,0.000013699665,0.000037879596,0.000008801471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019908896,0.00032941575,0.00026211108,0.0001594103,0.00021570556,0.00048285612,0.0004096959,0.00017893275,0.0012368414],"category_scores_gemma":[0.00034042384,0.00013728315,0.0002076343,0.00009465992,0.0004332305,0.000235759,0.00059095677,0.00036447923,0.00019016312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028835703,0.00007869691,0.00088677,0.00030058107,0.000066571585,0.00056224875,0.0005853104,0.75944257,0.1277496,0.021735324,0.001209312,0.08709462],"study_design_scores_gemma":[0.00003911959,0.00044603262,0.00043494639,0.000009155858,0.000019018478,0.00006348253,0.00003189652,0.9811508,0.012667243,0.0014570504,0.0036711239,0.000009974758],"about_ca_topic_score_codex":0.0028963373,"about_ca_topic_score_gemma":0.0023562685,"teacher_disagreement_score":0.0028963373,"about_ca_system_score_codex":0.00023279844,"about_ca_system_score_gemma":0.00045206066,"threshold_uncertainty_score":0.0057588816},"labels":[],"label_agreement":null},{"id":"W2335024713","doi":"10.2514/6.2015-1335","title":"Satellite Angular Velocity Estimation Based on Optical Flow Technique","year":2015,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Satellite; Angular velocity; Remote sensing; Optical flow; Computer science; Environmental science; Geology; Physics; Astronomy; Computer vision","score_opus":0.011180256923070304,"score_gpt":0.2209194676409112,"score_spread":0.20973921071784088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335024713","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041379225,0.00021373083,0.95514745,0.000058911566,0.00006480877,0.00004831319,0.00004928286,0.00068333565,0.002354961],"genre_scores_gemma":[0.63313675,0.00044202653,0.36354032,0.000036668793,0.00007839966,0.0000691732,0.00019113474,0.000079287354,0.0024262578],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974185,0.000031165982,0.000013314349,0.00005633472,0.00013297999,0.000024261863],"domain_scores_gemma":[0.9997465,0.000044101766,0.000055091732,0.000016600357,0.00012356574,0.000014195545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003469116,0.0005403524,0.00045817945,0.0018457,0.0003070696,0.0005701893,0.00038112584,0.00034557446,0.00080547284],"category_scores_gemma":[0.0010924751,0.00027048847,0.00030976944,0.00079750165,0.00023757228,0.00091185624,0.0003000417,0.00033475185,0.0002923041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019314188,0.00009277041,0.0059658904,0.00012799594,0.000039969676,0.00007187402,0.00016155209,0.182618,0.051015586,0.0065871207,0.0016719479,0.7514541],"study_design_scores_gemma":[0.000015263115,0.000093839684,0.0031996402,0.000019504758,0.000015521802,0.000088190805,0.000022711436,0.97553015,0.017494686,0.0011219064,0.002374621,0.000024043002],"about_ca_topic_score_codex":0.003881168,"about_ca_topic_score_gemma":0.0025156443,"teacher_disagreement_score":0.003881168,"about_ca_system_score_codex":0.00043920233,"about_ca_system_score_gemma":0.0006843761,"threshold_uncertainty_score":0.0077171326},"labels":[],"label_agreement":null},{"id":"W2335386774","doi":"10.2514/6.2011-6326","title":"Target Assignment via Switching Scheme for Multiple Flight Vehicles in Cooperative Guidance","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Guidance and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; National Natural Science Foundation of China","keywords":"Scheme (mathematics); Computer science; Mathematics","score_opus":0.016458330393524796,"score_gpt":0.21108612010448113,"score_spread":0.19462778971095634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335386774","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14797455,0.00009944067,0.84810865,0.00009821749,0.00002218982,0.000049721402,0.00002295382,0.00024124674,0.0033829664],"genre_scores_gemma":[0.97698486,0.000031529617,0.022126947,0.000017431481,0.000006352339,0.000032208223,0.000017639917,0.0000061131345,0.0007769263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998017,0.00005000426,0.0000063559582,0.00003297989,0.00005646223,0.00005247748],"domain_scores_gemma":[0.99982446,0.000059541944,0.00003659876,0.000022455395,0.000030185181,0.000026775102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035067234,0.00040565364,0.0002868248,0.0002576544,0.00027540408,0.00028800667,0.0006653021,0.00034718408,0.000861029],"category_scores_gemma":[0.0004757332,0.00013391135,0.00020748704,0.0002715538,0.00046974135,0.0005069482,0.000512005,0.00041099056,0.00011608328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030011084,0.00012201579,0.0008119919,0.00006798997,0.000024534978,0.00012771167,0.0002943522,0.822398,0.027612695,0.022157095,0.0009769594,0.12510642],"study_design_scores_gemma":[0.000020280468,0.0001557144,0.00016332007,0.0000021623027,0.0000039500005,0.000019408571,0.000021377666,0.9934778,0.0020782095,0.0036746722,0.00037828894,0.000004861207],"about_ca_topic_score_codex":0.0024301175,"about_ca_topic_score_gemma":0.0020818699,"teacher_disagreement_score":0.0024301175,"about_ca_system_score_codex":0.00041502112,"about_ca_system_score_gemma":0.0005167784,"threshold_uncertainty_score":0.0048319697},"labels":[],"label_agreement":null},{"id":"W2335613889","doi":"10.2514/6.2016-0885","title":"Trajectory Optimization of Space Manipulator with Non-zero Angular Momentum During Orbital Capture Maneuver","year":2016,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Narodowe Centrum Badań i Rozwoju","keywords":"Angular momentum; Zero (linguistics); Trajectory; Physics; Orbital mechanics; Control theory (sociology); Orbital motion; Classical mechanics; Trajectory optimization; Space (punctuation); Total angular momentum quantum number; Mathematics; Computer science; Artificial intelligence; Control (management); Quantum mechanics; Astronomy","score_opus":0.0035421112965595995,"score_gpt":0.1679827792195797,"score_spread":0.1644406679230201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335613889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67578363,0.0004044328,0.30130488,0.00059275783,0.00005768608,0.00009970502,0.00016568664,0.00024828332,0.021342928],"genre_scores_gemma":[0.9901737,0.00005392714,0.0065028016,0.000016411297,0.0000068277805,0.000029265175,0.00006188351,0.000022364939,0.0031328427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999206,0.00001939932,0.0000025138402,0.00001196704,0.000022145869,0.000023287223],"domain_scores_gemma":[0.9998067,0.0000745783,0.000038092832,0.000013147542,0.000044203418,0.000023189854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028373726,0.0005591769,0.0005152797,0.0003702542,0.00049839,0.00051903614,0.00035001372,0.0008155828,0.0012838201],"category_scores_gemma":[0.0007216553,0.00035782074,0.00030611287,0.00032714143,0.00047145406,0.00037448562,0.00055381097,0.00035466198,0.0001415981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099737124,0.000017666287,0.00071793376,0.000027388554,0.000019220113,0.00010875236,0.00006686239,0.99012625,0.0020227998,0.0021953313,0.00032857194,0.004269593],"study_design_scores_gemma":[0.0000073558786,0.000036091827,0.0003693178,0.0000024079704,0.0000036182582,0.000008968018,0.000024780013,0.9987386,0.0002793772,0.00041070176,0.00011605894,0.0000026985176],"about_ca_topic_score_codex":0.015256385,"about_ca_topic_score_gemma":0.0097379945,"teacher_disagreement_score":0.015256385,"about_ca_system_score_codex":0.0005649269,"about_ca_system_score_gemma":0.00084735744,"threshold_uncertainty_score":0.030335128},"labels":[],"label_agreement":null},{"id":"W2568362075","doi":"10.2514/6.2017-1718","title":"Gust-Load Alleviation of a Flexible Aircraft using a Disturbance Observer","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Disturbance (geology); Control theory (sociology); Computer science; Observer (physics); Control engineering; Environmental science; Engineering; Control (management); Geology; Artificial intelligence; Physics","score_opus":0.019192216307250327,"score_gpt":0.24070032298026997,"score_spread":0.22150810667301965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568362075","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3879271,0.00025872447,0.60488015,0.00028925377,0.00030372018,0.00006660092,0.000025291181,0.00051558716,0.0057335696],"genre_scores_gemma":[0.9895398,0.0000504798,0.008396432,0.00002048264,0.000015631189,0.000008989515,0.000013412719,0.000010079971,0.0019446326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998956,0.000013154317,0.0000069757193,0.00001902704,0.000044384138,0.000020856776],"domain_scores_gemma":[0.99977785,0.00004955738,0.000030162999,0.00002317307,0.0000965506,0.000022717517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018617285,0.0003567789,0.00047102777,0.0001684117,0.0003568235,0.0003640139,0.00031492548,0.0004934563,0.0010136149],"category_scores_gemma":[0.00053804455,0.00015353897,0.00024194339,0.00009366825,0.00035007647,0.0002828683,0.0004865046,0.00039427934,0.00013998336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013758127,0.00018689489,0.00358458,0.00030769873,0.00009947419,0.0012519804,0.00052623753,0.44125548,0.34030992,0.0032488368,0.002209977,0.20564307],"study_design_scores_gemma":[0.00002203741,0.00017606566,0.0011593252,0.000004265499,0.000015899996,0.00003931543,0.000027167787,0.988571,0.00928904,0.0001825474,0.00050429854,0.000009040091],"about_ca_topic_score_codex":0.002789852,"about_ca_topic_score_gemma":0.0029272663,"teacher_disagreement_score":0.002789852,"about_ca_system_score_codex":0.00012899567,"about_ca_system_score_gemma":0.00035182983,"threshold_uncertainty_score":0.0055472255},"labels":[],"label_agreement":null},{"id":"W2568984447","doi":"10.2514/6.2017-1735","title":"Flutter Suppression for a Two Degree of Freedom Aeroelastic Wing Section: a Structured H-infinity-Based Gain-Scheduling Approach with Explicit Hidden Coupling Terms Handling","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Aeroelasticity; Flutter; Wing; Section (typography); Control theory (sociology); Infinity; Computer science; Degree (music); Structural engineering; Aerodynamics; Mathematics; Engineering; Mathematical analysis; Physics; Aerospace engineering; Artificial intelligence; Acoustics","score_opus":0.022993462838732253,"score_gpt":0.24159646083338795,"score_spread":0.2186029979946557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568984447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014032849,0.000058114576,0.982698,0.00003549283,0.00003394015,0.000015806892,0.000010312063,0.00011391061,0.0030016159],"genre_scores_gemma":[0.7997124,0.00018807054,0.1940675,0.000083440675,0.000077205645,0.00007353691,0.00006061697,0.00013297249,0.005604224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998833,0.000029870058,0.000003989148,0.000016983693,0.00004847326,0.00001736776],"domain_scores_gemma":[0.99977463,0.000102116974,0.000025813086,0.000021572454,0.00005526157,0.000020494239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034919314,0.00067857193,0.00048855564,0.00023939864,0.00031950593,0.00036922251,0.0007659329,0.00061465875,0.002747447],"category_scores_gemma":[0.0006017972,0.00023822214,0.00048666113,0.00019224637,0.0004362001,0.00043019277,0.00055909035,0.0006189311,0.0005652035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025871617,0.00010489127,0.0002800939,0.00012781828,0.000037419544,0.00013170084,0.00014573644,0.8496333,0.05714399,0.012640345,0.0012369206,0.078259096],"study_design_scores_gemma":[0.00000648747,0.000031790758,0.00003007745,0.0000024846076,0.0000029006953,0.000008268823,0.000005048045,0.99777645,0.0012031491,0.00076106586,0.00016979076,0.0000025103402],"about_ca_topic_score_codex":0.0013309035,"about_ca_topic_score_gemma":0.001594218,"teacher_disagreement_score":0.002747447,"about_ca_system_score_codex":0.00022714512,"about_ca_system_score_gemma":0.00041039896,"threshold_uncertainty_score":0.009191096},"labels":[],"label_agreement":null},{"id":"W2569608961","doi":"10.2514/6.2017-1261","title":"Norm-Constrained Forward-Backward Smoothing","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Smoothing; Norm (philosophy); Computer science; Mathematical optimization; Mathematics; Computer vision; Political science","score_opus":0.014312617466486743,"score_gpt":0.250638883237761,"score_spread":0.23632626577127427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569608961","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018453898,0.00007989608,0.996648,0.00006336602,0.00007429421,0.000011959858,0.00004718317,0.0003898166,0.00084020296],"genre_scores_gemma":[0.16222139,0.00033004576,0.8126575,0.0001716721,0.00011322306,0.00011161823,0.0009199612,0.00051124196,0.022963485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99925774,0.00015427526,0.000056592442,0.00017134853,0.00028091902,0.00007919159],"domain_scores_gemma":[0.9986821,0.00044153907,0.00006105367,0.0002712838,0.00049384503,0.000050189923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001787547,0.00095748226,0.0011623418,0.00063094334,0.00069684966,0.0010167374,0.0014565637,0.0014725695,0.005828762],"category_scores_gemma":[0.004623881,0.0007228243,0.0008845882,0.00096090575,0.00076527876,0.0013892296,0.0015619247,0.001722946,0.0024191237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077059405,0.00016901526,0.00078818644,0.00018973053,0.00012581414,0.00010855243,0.00010340054,0.5499707,0.018351892,0.058919102,0.01027152,0.36023146],"study_design_scores_gemma":[0.000010354039,0.000014810924,0.00007495071,0.0000042955503,0.000008064856,0.000017887274,0.0000048256206,0.9896572,0.002891515,0.005533924,0.0017730836,0.00000909205],"about_ca_topic_score_codex":0.011363154,"about_ca_topic_score_gemma":0.012636076,"teacher_disagreement_score":0.011363154,"about_ca_system_score_codex":0.0006721654,"about_ca_system_score_gemma":0.0025078217,"threshold_uncertainty_score":0.022594035},"labels":[],"label_agreement":null},{"id":"W2569930162","doi":"10.2514/6.2017-1255","title":"Integrator-Augmented Robust Adaptive Control Design for Close Formation Flight","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Integrator; Computer science; Adaptive control; Robust control; Control theory (sociology); Control (management); Control engineering; Control system; Engineering; Artificial intelligence; Telecommunications; Electrical engineering; Bandwidth (computing)","score_opus":0.020584778695216372,"score_gpt":0.21858043441478903,"score_spread":0.19799565571957264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569930162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020626815,0.00022033484,0.9749257,0.00008141008,0.00009994739,0.00002749505,0.000018804252,0.00017073702,0.003828756],"genre_scores_gemma":[0.9535104,0.00016749426,0.041243583,0.00007173912,0.000043354168,0.00010678807,0.00006628523,0.000030433146,0.0047599464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996985,0.000074881296,0.000016653981,0.000064208565,0.0001081011,0.000037637354],"domain_scores_gemma":[0.99960643,0.00011594485,0.00006547468,0.000028831462,0.00016490609,0.00001848592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077414216,0.000813653,0.00091369345,0.00031475528,0.0004717103,0.0010524959,0.0008120261,0.0009956269,0.002298008],"category_scores_gemma":[0.0014187848,0.00048977917,0.00045646707,0.00021254782,0.0005456286,0.0006521359,0.0011670615,0.00080000085,0.00037536345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016982153,0.00006273518,0.00043441405,0.0001353082,0.00006788254,0.00013462987,0.00020015593,0.9388801,0.0077517265,0.01159864,0.0008558698,0.03970865],"study_design_scores_gemma":[0.000010479895,0.00008088213,0.00007544402,0.0000039401043,0.0000075517687,0.000009784381,0.0000065655595,0.99835074,0.00043860177,0.00065700914,0.00035496536,0.0000040867385],"about_ca_topic_score_codex":0.00465625,"about_ca_topic_score_gemma":0.004513564,"teacher_disagreement_score":0.00465625,"about_ca_system_score_codex":0.0003969835,"about_ca_system_score_gemma":0.00068663945,"threshold_uncertainty_score":0.00925833},"labels":[],"label_agreement":null},{"id":"W2569968384","doi":"10.2514/6.2017-1731","title":"Using Solar Sails to Transfer to the L5 Lagrange Point","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Lagrangian point; Point (geometry); Solar sail; Transfer (computing); Computer science; Physics; Aerospace engineering; Classical mechanics; Geometry; Mathematics; Engineering; Propulsion","score_opus":0.01804590704667313,"score_gpt":0.24627661077832308,"score_spread":0.22823070373164994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569968384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33367917,0.00009524719,0.57631683,0.00027582407,0.00031752972,0.00014835314,0.000109322624,0.0037740108,0.08528379],"genre_scores_gemma":[0.9159769,0.000042106625,0.07118415,0.00005752264,0.000017344684,0.000057996695,0.00011949483,0.00016356325,0.012380908],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992085,0.00001307347,0.0000026556008,0.000016051928,0.000026744861,0.000020750167],"domain_scores_gemma":[0.9998572,0.000026892929,0.000009611134,0.000050257127,0.00003538061,0.00002064597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016552488,0.0003971039,0.00024694993,0.0002269583,0.0006141002,0.0005339862,0.0004824483,0.00036062597,0.01011931],"category_scores_gemma":[0.00063953537,0.00022039466,0.0003057425,0.00015634151,0.00036147507,0.00063509954,0.001554268,0.00059587625,0.0022823655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079266593,0.00027517386,0.0074043544,0.00015143768,0.00010786133,0.0005048274,0.0011080158,0.30491424,0.13487881,0.025948375,0.009970536,0.5139438],"study_design_scores_gemma":[0.000066139946,0.00046188605,0.0018818058,0.000048308146,0.000024753755,0.00017378837,0.000343903,0.9257999,0.04491377,0.007092297,0.019155713,0.0000376474],"about_ca_topic_score_codex":0.0027367496,"about_ca_topic_score_gemma":0.0029003792,"teacher_disagreement_score":0.01011931,"about_ca_system_score_codex":0.00018146931,"about_ca_system_score_gemma":0.00036619033,"threshold_uncertainty_score":0.033852518},"labels":[],"label_agreement":null},{"id":"W2570204968","doi":"10.2514/6.2017-1241","title":"Vertical and Horizontal Flight Reference Trajectory Optimization for a Commercial Aircraft","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"Oklahoma Agricultural Experiment Station","keywords":"Trajectory; Aerospace engineering; Trajectory optimization; Computer science; Aeronautics; Automotive engineering; Engineering; Physics","score_opus":0.01214802760848662,"score_gpt":0.2247659308979501,"score_spread":0.21261790328946348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570204968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56240743,0.00081029953,0.40858662,0.0009360213,0.0000967654,0.0001104376,0.00049630925,0.00039009197,0.026166053],"genre_scores_gemma":[0.95732015,0.000096652926,0.03655118,0.000041716292,0.000016708595,0.000041737425,0.00020641406,0.00005345858,0.0056719063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999267,0.000021385142,0.0000027266103,0.000012183421,0.000020838597,0.000016098966],"domain_scores_gemma":[0.9998653,0.00005822558,0.000012765189,0.00000746555,0.000045504814,0.00001074205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033837516,0.0004771731,0.0003652909,0.00032330948,0.000353415,0.00046290242,0.00030996476,0.0008911174,0.0020469704],"category_scores_gemma":[0.0006639551,0.00028488468,0.000341324,0.000356388,0.00027975586,0.00027628246,0.00036385658,0.00033709966,0.00018254023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007422406,0.000022105713,0.00033678528,0.000025791975,0.000015026245,0.00003924436,0.00002035928,0.987025,0.0012157981,0.0021637091,0.0005281549,0.008533731],"study_design_scores_gemma":[0.000006552937,0.000021740127,0.00018829762,0.0000014523547,0.000002587288,0.0000034012012,0.000009278901,0.99921954,0.00017453256,0.00025769332,0.0001133034,0.0000016611058],"about_ca_topic_score_codex":0.04073384,"about_ca_topic_score_gemma":0.025617914,"teacher_disagreement_score":0.04073384,"about_ca_system_score_codex":0.00068354275,"about_ca_system_score_gemma":0.001090281,"threshold_uncertainty_score":0.08099347},"labels":[],"label_agreement":null},{"id":"W2570417820","doi":"10.2514/6.2017-1046","title":"Iterative Learning Control of Spacecraft Proximity Operations Based on Confidence Level","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Spacecraft; Iterative learning control; Computer science; Control (management); Aerospace engineering; Artificial intelligence; Engineering","score_opus":0.01880659210438648,"score_gpt":0.25085263083817366,"score_spread":0.23204603873378718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570417820","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08066857,0.00011636729,0.9158495,0.00014590078,0.0000484649,0.000034704943,0.000012853805,0.000115922805,0.0030077293],"genre_scores_gemma":[0.9844381,0.0000301106,0.014703187,0.000022341434,0.000014717636,0.00004100845,0.000011916966,0.000010709442,0.00072785496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910283,0.0002146655,0.000049305545,0.00018766453,0.0003015314,0.0001440369],"domain_scores_gemma":[0.99686664,0.0016592076,0.0004987732,0.00013684515,0.0006850183,0.00015353724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016668919,0.00064662006,0.00079411874,0.00044458988,0.00050288404,0.001356938,0.0012865835,0.0006408045,0.0011842799],"category_scores_gemma":[0.006819054,0.00042484127,0.00045741792,0.0004446895,0.0011130663,0.0009883275,0.0018539566,0.0013029036,0.00014779561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026886488,0.00009165997,0.0007017052,0.000047930964,0.00004150315,0.000036790592,0.00016086198,0.9432586,0.0035424533,0.011366069,0.00036884617,0.04011483],"study_design_scores_gemma":[0.000009694185,0.000056179655,0.00009670274,0.0000023492278,0.0000031561315,0.0000039728434,0.0000032908963,0.99847823,0.0003721067,0.00092505733,0.00004507916,0.0000042132933],"about_ca_topic_score_codex":0.005618017,"about_ca_topic_score_gemma":0.0030676795,"teacher_disagreement_score":0.005618017,"about_ca_system_score_codex":0.0008162355,"about_ca_system_score_gemma":0.0010808607,"threshold_uncertainty_score":0.011170626},"labels":[],"label_agreement":null},{"id":"W2570476262","doi":"10.2514/6.2017-1721","title":"Gust Load Alleviation Control for a Flexible Aircraft with Loss of Control Effectiveness","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; University of Toronto","keywords":"Control (management); Computer science; Control theory (sociology); Automotive engineering; Environmental science; Engineering; Artificial intelligence","score_opus":0.010358696703092371,"score_gpt":0.2353993585895532,"score_spread":0.22504066188646082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570476262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5966361,0.00021142117,0.39565334,0.0003496838,0.00011711527,0.00004937534,0.000034482004,0.00032243103,0.006625971],"genre_scores_gemma":[0.9983139,0.000011540736,0.0012187158,0.0000098449145,0.0000065632707,0.000005172793,0.0000043337727,0.0000028108436,0.0004270934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999149,0.0000106343105,0.000005097641,0.000013638899,0.000024079976,0.000031669384],"domain_scores_gemma":[0.99984396,0.000046587687,0.000034492106,0.000013353886,0.0000450759,0.000016555936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018225466,0.0004438178,0.0003108048,0.00015870505,0.0005065307,0.000432414,0.00041316345,0.00037050227,0.00085710693],"category_scores_gemma":[0.0003636587,0.00013078563,0.00021017487,0.000118532706,0.00047653745,0.0002831808,0.00045855762,0.00032540545,0.00009121923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013835506,0.00015994864,0.0020676274,0.00014369337,0.00006489232,0.0007799933,0.00031364482,0.7941848,0.1261696,0.004382631,0.0013842196,0.06896532],"study_design_scores_gemma":[0.000021563561,0.00020514072,0.0007431395,0.0000029287016,0.00000911936,0.000028526323,0.000020883303,0.99580246,0.0027506654,0.0002727984,0.00013758555,0.0000052234204],"about_ca_topic_score_codex":0.0042121126,"about_ca_topic_score_gemma":0.003686523,"teacher_disagreement_score":0.0042121126,"about_ca_system_score_codex":0.00023666323,"about_ca_system_score_gemma":0.0002614437,"threshold_uncertainty_score":0.008375168},"labels":[],"label_agreement":null},{"id":"W2570767403","doi":"10.2514/6.2017-1034","title":"Spacecraft Pose Estimation using Principal Component Analysis and a Monocular Camera","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Neptec Design Group (Canada); Carleton University","funders":"","keywords":"Principal component analysis; Artificial intelligence; Computer science; Computer vision; Spacecraft; Pose; Component (thermodynamics); Monocular; Remote sensing; Computer graphics (images); Engineering; Geology; Aerospace engineering; Physics","score_opus":0.013467844499652241,"score_gpt":0.24502177373663178,"score_spread":0.23155392923697954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570767403","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022325931,0.00024851933,0.97479224,0.000051985186,0.0000767914,0.00003534576,0.00012726884,0.0010099957,0.0013319069],"genre_scores_gemma":[0.34213924,0.000602243,0.65242887,0.000064159314,0.00007786486,0.00008758022,0.000599638,0.00019521272,0.0038051824],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946755,0.00007048527,0.000020763799,0.00013451918,0.00024511566,0.00006163767],"domain_scores_gemma":[0.9996001,0.000050133352,0.000038755832,0.00006925499,0.00022013597,0.000021688362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029777075,0.0010384712,0.00085393863,0.0014084453,0.00061666087,0.00081526185,0.0005156757,0.0005357256,0.001747518],"category_scores_gemma":[0.0011558777,0.00057900214,0.0008239779,0.0017032948,0.00030114502,0.0011028626,0.00074609293,0.0008177758,0.0012460883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021737385,0.00012049761,0.003554329,0.0001344166,0.0001336127,0.00010954579,0.0001289345,0.032627758,0.081979625,0.0022858928,0.004170826,0.87453717],"study_design_scores_gemma":[0.000038841587,0.00022846718,0.022284394,0.000033936925,0.000103392325,0.0003930017,0.00017492846,0.91382056,0.0528513,0.0036383285,0.0063585546,0.00007421241],"about_ca_topic_score_codex":0.0066446117,"about_ca_topic_score_gemma":0.009420475,"teacher_disagreement_score":0.0066446117,"about_ca_system_score_codex":0.00027090756,"about_ca_system_score_gemma":0.0011608674,"threshold_uncertainty_score":0.013211846},"labels":[],"label_agreement":null},{"id":"W2570812067","doi":"10.2514/6.2017-1738","title":"Passivity-Based Magnetic Attitude Control with Impulsive Thrusting","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Passivity; Control theory (sociology); Attitude control; Computer science; Control (management); Control engineering; Engineering; Artificial intelligence; Electrical engineering","score_opus":0.006499806184007486,"score_gpt":0.20954155111252537,"score_spread":0.2030417449285179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570812067","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05325418,0.00018297607,0.93759644,0.00009433102,0.00014509371,0.000031708743,0.000019168623,0.00036414547,0.008311889],"genre_scores_gemma":[0.98713094,0.00006175333,0.009993928,0.00003302487,0.00003577043,0.00003146069,0.00001708861,0.000022412143,0.0026736518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982965,0.00002324131,0.000011790327,0.000031013707,0.00006853742,0.000035690737],"domain_scores_gemma":[0.9996766,0.00011141523,0.000063572144,0.000025985888,0.00009838119,0.000024118544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003584242,0.0006619157,0.0006433367,0.0003484109,0.0003759787,0.0007945025,0.000720426,0.00045811548,0.0014903218],"category_scores_gemma":[0.00075524114,0.00029365072,0.00030767207,0.00020961271,0.00065208,0.000507422,0.0008899728,0.00056632597,0.00025596737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009507862,0.00019227366,0.0007840894,0.00032154974,0.00012574489,0.0002108978,0.0003258024,0.7879414,0.060154684,0.028383084,0.0016756372,0.11893405],"study_design_scores_gemma":[0.000032440475,0.00018876788,0.0002822594,0.0000065353534,0.000014642804,0.000020129653,0.000012493899,0.9935377,0.0031187737,0.0022466895,0.0005296936,0.000009845387],"about_ca_topic_score_codex":0.0023974197,"about_ca_topic_score_gemma":0.0021874022,"teacher_disagreement_score":0.0023974197,"about_ca_system_score_codex":0.0003376284,"about_ca_system_score_gemma":0.00039473042,"threshold_uncertainty_score":0.0049856305},"labels":[],"label_agreement":null},{"id":"W2571248240","doi":"10.2514/6.2017-1049","title":"Experimental Validation for Tethered Capture of Spinning Space Debris","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Space debris; Spinning; Computer science; Debris; Space (punctuation); Physics; Engineering; Mechanical engineering; Operating system","score_opus":0.013453737686392258,"score_gpt":0.25018533070648163,"score_spread":0.23673159302008936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571248240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9636165,0.0001535707,0.030448938,0.00010410972,0.00014065614,0.00033255605,0.00057508313,0.00054933404,0.004079354],"genre_scores_gemma":[0.9861529,0.00009223249,0.0098618325,0.0000982724,0.0000112164425,0.0002288618,0.0005825355,0.00002953488,0.0029425519],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995982,0.000037620226,0.000019710076,0.00007377859,0.00017677073,0.00009398866],"domain_scores_gemma":[0.99917114,0.00024349523,0.00007076161,0.00018886112,0.00025053817,0.000075277225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048955303,0.00052849523,0.00031749305,0.0004210267,0.0011073854,0.0004920072,0.0009555043,0.0012774956,0.0043264297],"category_scores_gemma":[0.0013079541,0.00028664712,0.0002691356,0.00024818868,0.0005832254,0.0007883256,0.001143875,0.0005219021,0.0009393892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017369636,0.0016218501,0.012121903,0.0005650866,0.00012651921,0.00053264975,0.0007277027,0.034123167,0.90295136,0.0010680762,0.0016941852,0.042730547],"study_design_scores_gemma":[0.0005014547,0.010001911,0.042926006,0.000119160395,0.00015763367,0.00085081154,0.0006986688,0.19567269,0.74074954,0.0007600983,0.0074369647,0.00012496303],"about_ca_topic_score_codex":0.0029900544,"about_ca_topic_score_gemma":0.0048994715,"teacher_disagreement_score":0.0043264297,"about_ca_system_score_codex":0.00043247192,"about_ca_system_score_gemma":0.00087054947,"threshold_uncertainty_score":0.014473379},"labels":[],"label_agreement":null},{"id":"W2978813206","doi":"10.2514/6.2012-4839","title":"Rolling Shutter Compensation for Star Trackers","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Shutter; BitTorrent tracker; Computer science; Compensation (psychology); Star (game theory); Artificial intelligence; Eye tracking; Physics; Optics; Astrophysics; Psychology","score_opus":0.013042772218385939,"score_gpt":0.22389890023709458,"score_spread":0.21085612801870865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978813206","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06922822,0.00084587175,0.92150253,0.00014938114,0.00022319474,0.00002262101,0.00010114181,0.0016741387,0.006252817],"genre_scores_gemma":[0.8686898,0.00036852772,0.12202494,0.000080716425,0.00008638764,0.000023139057,0.00031709397,0.00019538993,0.008214054],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996636,0.00005412451,0.000011143275,0.00007493204,0.00015469054,0.0000414495],"domain_scores_gemma":[0.9997228,0.000044806486,0.000038694478,0.00005957434,0.00011931839,0.000014819725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003070371,0.0004309096,0.0005432144,0.00036960305,0.00042288363,0.0005621971,0.00050006696,0.00057882856,0.002648171],"category_scores_gemma":[0.0010866221,0.000234961,0.00022999148,0.0005646682,0.00020503173,0.000548428,0.0004269384,0.00055557897,0.0008696168],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001151942,0.00007216685,0.003663298,0.00022114962,0.00009195716,0.00020276321,0.0003414004,0.06770736,0.30018938,0.014138073,0.009223022,0.6029974],"study_design_scores_gemma":[0.000058222508,0.0003519383,0.00883862,0.000038481845,0.000073435665,0.0004924803,0.00008148434,0.85747653,0.11107828,0.0042778193,0.017170643,0.00006213034],"about_ca_topic_score_codex":0.0013051492,"about_ca_topic_score_gemma":0.002099707,"teacher_disagreement_score":0.002648171,"about_ca_system_score_codex":0.0002593189,"about_ca_system_score_gemma":0.0003330142,"threshold_uncertainty_score":0.008859038},"labels":[],"label_agreement":null},{"id":"W3173447544","doi":"10.2514/6.2012-4620","title":"Direct Fuzzy Adaptive Control of a Manipulator with Elastic Joints","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Manipulator (device); Computer science; Control theory (sociology); Fuzzy control system; Adaptive control; Control (management); Fuzzy logic; Control engineering; Robot; Artificial intelligence; Engineering","score_opus":0.011750998678979776,"score_gpt":0.20166957328268134,"score_spread":0.18991857460370157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173447544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26349226,0.0003034936,0.7279022,0.00017212532,0.00010198292,0.000059434336,0.000021686163,0.00030159508,0.007645201],"genre_scores_gemma":[0.98452574,0.0000705488,0.01318694,0.00002213378,0.000009297671,0.000034241733,0.000008724837,0.0000029994892,0.002139413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991417,0.000013160572,0.0000057686952,0.000023235429,0.000030969448,0.000012665769],"domain_scores_gemma":[0.99985206,0.00004873623,0.00003597761,0.000012213258,0.00004059192,0.000010303876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025452717,0.0003569174,0.00018964507,0.00015098217,0.00029845003,0.000350541,0.0004125204,0.00037922635,0.00061296136],"category_scores_gemma":[0.00047945054,0.00014563285,0.00021330427,0.00014954522,0.00042922545,0.00017246758,0.00033797443,0.00032588944,0.00008560407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018058087,0.000065960536,0.0005752229,0.0001276646,0.00003826802,0.0003548262,0.00022726053,0.8347703,0.071013495,0.0071491036,0.0005366757,0.084960565],"study_design_scores_gemma":[0.000018964807,0.00012044807,0.00030626685,0.0000046382534,0.000006987616,0.000024506007,0.000011495751,0.9954283,0.0030121068,0.0005387315,0.0005210554,0.000006452438],"about_ca_topic_score_codex":0.0063574105,"about_ca_topic_score_gemma":0.005577325,"teacher_disagreement_score":0.0063574105,"about_ca_system_score_codex":0.00027214733,"about_ca_system_score_gemma":0.00035574488,"threshold_uncertainty_score":0.012640774},"labels":[],"label_agreement":null},{"id":"W3174837859","doi":"10.2514/6.2010-7900","title":"Linear Time-Varying Passivity-Based Attitude Control Employing Magnetic and Mechanical Actuation","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Passivity; Control theory (sociology); Control (management); Control engineering; Attitude control; Computer science; Engineering; Electrical engineering; Artificial intelligence","score_opus":0.008272478745348788,"score_gpt":0.21991573543850412,"score_spread":0.21164325669315534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174837859","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027591785,0.00025518425,0.95942205,0.00011426844,0.00013018244,0.00006757062,0.000033136,0.00053461146,0.011851194],"genre_scores_gemma":[0.9592752,0.00032065,0.031096322,0.000082361126,0.00008555043,0.00013907754,0.000061512095,0.00004056089,0.008898808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979347,0.000038815266,0.000010971824,0.000040602084,0.00008089302,0.000035236564],"domain_scores_gemma":[0.9996823,0.000095155,0.00009918202,0.000029079398,0.00007459207,0.00001967556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042387846,0.00076818606,0.00049706234,0.00023872213,0.00032998814,0.00095080206,0.00092457805,0.0005163697,0.0018682488],"category_scores_gemma":[0.00068907416,0.00027840232,0.0003909119,0.0002603522,0.0006676507,0.0004878657,0.00072428613,0.0005600594,0.00053688424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036568823,0.0001462762,0.00067678344,0.0005783124,0.00011706271,0.0004037616,0.00034238957,0.7458473,0.12077425,0.037385788,0.0022234735,0.09113894],"study_design_scores_gemma":[0.000035430698,0.00049483054,0.00027770826,0.000012749007,0.000024768085,0.000043080418,0.000019432779,0.98800534,0.00707026,0.0021252371,0.0018775131,0.000013659491],"about_ca_topic_score_codex":0.0019939078,"about_ca_topic_score_gemma":0.0020399196,"teacher_disagreement_score":0.0019939078,"about_ca_system_score_codex":0.00035708278,"about_ca_system_score_gemma":0.00047614038,"threshold_uncertainty_score":0.0062499046},"labels":[],"label_agreement":null},{"id":"W3177360143","doi":"10.2514/6.2015-1086","title":"Impulsive Spacecraft Formation Maneuvers with Optimal Firing Times","year":2015,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spacecraft; Aerospace engineering; Computer science; Control theory (sociology); Environmental science; Astrobiology; Physics; Engineering; Artificial intelligence; Control (management)","score_opus":0.0065468234875473,"score_gpt":0.1891506545970935,"score_spread":0.1826038311095462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177360143","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10441984,0.000171466,0.89124733,0.00011212589,0.000042048014,0.000024203504,0.00001860315,0.00013437308,0.0038299926],"genre_scores_gemma":[0.973089,0.00006256604,0.025589416,0.00001560517,0.000009346504,0.000018488809,0.000014595977,0.000013354214,0.001187638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998902,0.00002475836,0.000005611354,0.000015277627,0.000040349998,0.000023686904],"domain_scores_gemma":[0.99972326,0.00013185828,0.00006846238,0.000015227791,0.000028575836,0.000032637898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033020278,0.00033959208,0.0002876176,0.00025332102,0.00017527182,0.00043080485,0.00037894663,0.00040370025,0.0008269425],"category_scores_gemma":[0.0011671336,0.00018682869,0.00026793894,0.000270259,0.00049235806,0.00033314538,0.0005144802,0.00045186357,0.00006814209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008187349,0.00001640094,0.0003619314,0.000040500872,0.000010866286,0.0001132374,0.000060129496,0.9576959,0.0051205596,0.016343521,0.00020761664,0.019947406],"study_design_scores_gemma":[0.000011307002,0.00003636707,0.00009585184,0.0000033566796,0.0000034318073,0.000017706205,0.000016067883,0.9938485,0.0010554292,0.0047066347,0.00020164669,0.0000038056226],"about_ca_topic_score_codex":0.0013898291,"about_ca_topic_score_gemma":0.0012234581,"teacher_disagreement_score":0.0013898291,"about_ca_system_score_codex":0.00039480173,"about_ca_system_score_gemma":0.0005265418,"threshold_uncertainty_score":0.0028645396},"labels":[],"label_agreement":null}]}