{"meta":{"query_hash":"9cbdff8aea61","filters":{"venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit"},"cohort_total":19,"direct_labels_cover":0,"predictions_cover":19,"exported":19,"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/9cbdff8aea61","api":"https://metacan.xera.ac/api/v1/cohort?venue=AIAA+Atmospheric+Flight+Mechanics+Conference+and+Exhibit"},"results":[{"id":"W2057170916","doi":"10.2514/6.2004-5053","title":"Transonic Free-To-Roll Analysis of the F/A-18E and F-35 Configurations","year":2004,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":14,"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":"National Aeronautics and Space Administration","keywords":"Transonic; Computer science; Aerospace engineering; Physics; Engineering; Aerodynamics","score_opus":0.0057019767074868635,"score_gpt":0.1812664511956303,"score_spread":0.17556447448814344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057170916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8086107,0.0006730676,0.18656065,0.0024226322,0.00015796612,0.00031208846,0.00003870701,0.00019310834,0.0010310718],"genre_scores_gemma":[0.9974418,0.00047328768,0.0017529936,0.00017690925,0.00001040487,0.000023578947,0.000005146401,0.000015707454,0.00010016036],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991682,0.000012730153,0.0002483061,0.00022121824,0.0001361248,0.00021338498],"domain_scores_gemma":[0.9993845,0.000024909645,0.00005092538,0.00039753478,0.00006284426,0.00007925167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006897496,0.00017095832,0.00031778926,0.000021479787,0.00010703031,0.00003337607,0.00022676814,0.00014480828,0.000099323224],"category_scores_gemma":[0.00002189864,0.00013713332,0.00008114491,0.00091200095,0.000045777902,0.00009471922,0.00005379833,0.00014453055,0.000006427625],"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":[0.000022025504,0.00008748506,0.0011568589,0.000112087575,0.0014061367,0.000006576802,0.0048925253,0.04283559,0.17003417,0.76709163,0.0005153613,0.011839544],"study_design_scores_gemma":[0.005208993,0.00076754414,0.0205047,0.0004094614,0.0044321623,0.000036190824,0.004150182,0.5422701,0.27281937,0.13263647,0.014380554,0.0023842186],"about_ca_topic_score_codex":0.00008491879,"about_ca_topic_score_gemma":0.00052877987,"teacher_disagreement_score":0.63445514,"about_ca_system_score_codex":0.000026374586,"about_ca_system_score_gemma":0.000040969135,"threshold_uncertainty_score":0.55921346},"labels":[],"label_agreement":null},{"id":"W2117395185","doi":"10.2514/6.2005-6226","title":"Downrange Overflight Risk Analysis Methods for Space Shuttle Launches","year":2005,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":3,"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":"Space Shuttle; Space (punctuation); Computer science; Aeronautics; Environmental science; Aerospace engineering; Engineering; Operating system","score_opus":0.008926796252741637,"score_gpt":0.24175452469873593,"score_spread":0.23282772844599428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117395185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021029545,0.00945757,0.964441,0.00045591258,0.00039858226,0.0005797236,0.00004416825,0.00036800464,0.0032255051],"genre_scores_gemma":[0.8607349,0.0029970515,0.13384636,0.0001194897,0.0003100886,0.0001795544,0.000022373973,0.00007128801,0.0017188954],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99824274,0.000087810484,0.00041599528,0.0005093251,0.00018016093,0.0005639954],"domain_scores_gemma":[0.99880934,0.0002165641,0.00011971248,0.00050214335,0.00013555457,0.00021666882],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005819007,0.00041157153,0.0007143545,0.00002989011,0.00016879523,0.00016279868,0.00022697843,0.00024602842,0.00035822683],"category_scores_gemma":[0.000049703693,0.00036327908,0.00030004562,0.0005936626,0.000022397855,0.00025483023,0.00004747564,0.00021109091,0.00005741373],"study_design_candidate":"design_other","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":[0.00013103793,0.00012426906,0.0013109825,0.00034497157,0.0046406067,0.000008394966,0.004035941,0.016547352,0.036685687,0.10715917,0.0034361598,0.8255754],"study_design_scores_gemma":[0.0006585303,0.00007293791,0.00014885953,0.000024821295,0.00082061894,0.0000035900684,0.00027594052,0.73332983,0.007302855,0.0018744462,0.25498468,0.00050289487],"about_ca_topic_score_codex":0.00014234438,"about_ca_topic_score_gemma":0.00031011197,"teacher_disagreement_score":0.83970535,"about_ca_system_score_codex":0.000072370116,"about_ca_system_score_gemma":0.000033810036,"threshold_uncertainty_score":0.9998819},"labels":[],"label_agreement":null},{"id":"W2139936354","doi":"10.2514/6.2001-4316","title":"Advanced business jet conceptual design and cost optimization using a genetic algorithm approach","year":2001,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Advanced Aircraft Design and Technologies","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":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Conceptual design; Genetic algorithm; Jet (fluid); Algorithm design; Algorithm; Mathematical optimization; Engineering; Mathematics; Aerospace engineering; Machine learning; Human–computer interaction","score_opus":0.024015393742899748,"score_gpt":0.21862923114831576,"score_spread":0.19461383740541602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139936354","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029120617,0.00044505397,0.96910125,0.00007610432,0.000075400756,0.000624757,0.0000027243127,0.00016753846,0.00038657902],"genre_scores_gemma":[0.24264173,0.0019781387,0.7550122,0.00012799219,0.000016900734,0.00005693487,0.000007357995,0.000028299526,0.00013040588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832433,0.00006127021,0.0002671455,0.00065657013,0.00024252542,0.00044818074],"domain_scores_gemma":[0.99935055,0.0000506136,0.00013025472,0.0002835702,0.0000483992,0.00013660407],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012795739,0.00032955053,0.0003154092,0.000009080308,0.00027314408,0.000085268366,0.00021617583,0.00018761629,0.00028205503],"category_scores_gemma":[0.000041166924,0.00029369717,0.000026378382,0.0005531036,0.00026918534,0.0004534477,0.00024362934,0.00015606951,0.000014407357],"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":[0.000081777456,0.00014000296,0.0010388745,0.000019807256,0.00003290907,0.00007391809,0.00057104696,0.532659,0.008698827,0.0024716936,0.00009692738,0.45411524],"study_design_scores_gemma":[0.0006833,0.00011133756,0.00020373028,0.000027955819,0.000034900593,0.00013893258,0.00068907865,0.99247426,0.00082235504,0.0031298609,0.0012487313,0.0004355298],"about_ca_topic_score_codex":0.00006885181,"about_ca_topic_score_gemma":0.0000029685295,"teacher_disagreement_score":0.45981532,"about_ca_system_score_codex":0.00008156797,"about_ca_system_score_gemma":0.000032187123,"threshold_uncertainty_score":0.99995154},"labels":[],"label_agreement":null},{"id":"W2313303969","doi":"10.2514/6.2002-4713","title":"Non-Linear Indicial Response and Internal State-Space Representation for Free-to-Roll Trajectory Prediction of a 65 Degree Wing at High Incidence","year":2002,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Trajectory; Representation (politics); Degree (music); Wing; Incidence (geometry); State space; State (computer science); Computer science; Control theory (sociology); Mathematics; Algorithm; Artificial intelligence; Physics; Geometry; Aerospace engineering; Law; Engineering; Statistics; Control (management)","score_opus":0.017858845122152394,"score_gpt":0.21428946315601521,"score_spread":0.19643061803386283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313303969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71688116,0.00010613418,0.28222427,0.00009727969,0.00024113084,0.00028304957,0.00007429394,0.000051672676,0.000041009855],"genre_scores_gemma":[0.98549724,0.0002662018,0.0138308,0.000040380248,0.000059256294,0.000036756457,0.000021762595,0.000033746142,0.00021385995],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880093,0.000029325347,0.000366368,0.0003310197,0.00023347401,0.00023888572],"domain_scores_gemma":[0.9992703,0.00016720887,0.00008419707,0.00020539139,0.00014616002,0.00012675165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022846147,0.00020815292,0.0002737988,0.000028372855,0.00010740763,0.000043552853,0.00014706446,0.000099536046,0.00002909717],"category_scores_gemma":[0.0000952881,0.00022205284,0.000049165516,0.00021789603,0.000026714451,0.00019030058,0.00012154291,0.0001252506,0.000003589747],"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":[0.0026441899,0.00020401776,0.0057165395,0.0006412321,0.00045610272,0.00006203011,0.014921392,0.41577116,0.5035225,0.013267754,0.0024543707,0.040338688],"study_design_scores_gemma":[0.000832614,0.00030222503,0.0084583955,0.00010694343,0.000030955853,0.000012881978,0.00009815523,0.98561645,0.0020176321,0.002236957,0.00008977422,0.00019703238],"about_ca_topic_score_codex":0.0001017108,"about_ca_topic_score_gemma":0.00017413642,"teacher_disagreement_score":0.56984526,"about_ca_system_score_codex":0.000098365956,"about_ca_system_score_gemma":0.000027160651,"threshold_uncertainty_score":0.9055052},"labels":[],"label_agreement":null},{"id":"W2314262400","doi":"10.2514/6.2004-4815","title":"Flight Manoeuvre and Spin Characteristics of the Harvard 4: Application to Human Factors Flight Research","year":2004,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Aerospace Engineering and Control 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":"National Research Council Canada","funders":"Crohn's and Colitis Foundation of Canada","keywords":"Aileron; Cockpit; Vestibular system; Aeronautics; Wing; Stall (fluid mechanics); Aerospace engineering; Engineering; Physics","score_opus":0.014097167544155072,"score_gpt":0.23195081588890312,"score_spread":0.21785364834474805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314262400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92617595,0.00025884027,0.07142824,0.00036187694,0.0003744518,0.000677501,0.000018385077,0.00017301258,0.0005317109],"genre_scores_gemma":[0.9987614,0.00015572447,0.000494982,0.000028915805,0.00010145949,0.000088564884,0.000008832669,0.0000523792,0.00030774184],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99836105,0.000040526807,0.00039564862,0.00037499086,0.0003739765,0.00045382977],"domain_scores_gemma":[0.9990033,0.000041336687,0.0000712984,0.00052909227,0.0001576854,0.00019728602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029897483,0.00030106812,0.0004148764,0.00002012312,0.0002406654,0.00010375439,0.00032813373,0.00019583992,0.00002257729],"category_scores_gemma":[0.000033673958,0.00023553676,0.000062679916,0.00040931776,0.00004858657,0.00011822834,0.00013668419,0.00033570948,0.000033145483],"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":[0.000039389568,0.00011703311,0.0031107287,0.00083635165,0.00023413864,0.000011255971,0.0072191125,0.0044668233,0.6693803,0.30304313,0.00071342784,0.010828325],"study_design_scores_gemma":[0.0072467504,0.0021035976,0.0984882,0.0041006757,0.000522998,0.00011386429,0.006392636,0.24070072,0.4109457,0.02493478,0.19854073,0.005909334],"about_ca_topic_score_codex":0.00015933737,"about_ca_topic_score_gemma":0.00007557256,"teacher_disagreement_score":0.27810836,"about_ca_system_score_codex":0.000094514806,"about_ca_system_score_gemma":0.000041115054,"threshold_uncertainty_score":0.96049106},"labels":[],"label_agreement":null},{"id":"W2316462873","doi":"10.2514/6.2001-4143","title":"A novel concept for controlling leading-edge vortex breakdown and related preliminary water tunnel experiment","year":2001,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Fluid Dynamics and Turbulent Flows","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":"National Research Council Canada","funders":"","keywords":"Vortex; Enhanced Data Rates for GSM Evolution; Water tunnel; Aerospace engineering; Materials science; Mechanics; Engineering physics; Physics; Computer science; Engineering; Telecommunications","score_opus":0.009742212215018427,"score_gpt":0.19926806218891743,"score_spread":0.189525849973899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316462873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70933616,0.0055094953,0.2805283,0.00046770985,0.0010961044,0.001215686,0.000035018733,0.00044618765,0.0013653649],"genre_scores_gemma":[0.9932927,0.0011698067,0.0038117783,0.00011318375,0.00007504222,0.0001446548,0.000052694788,0.00007740723,0.0012627279],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982429,0.000014458046,0.00045628427,0.00050530676,0.00016131594,0.0006197136],"domain_scores_gemma":[0.9992957,0.00006973583,0.00004991104,0.000275703,0.000100551,0.00020837733],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016778633,0.00041532776,0.0004986326,0.000014390589,0.00019141608,0.00014087187,0.00015907074,0.0002450015,0.00016883228],"category_scores_gemma":[0.000012672436,0.0003462167,0.00009821645,0.00010500382,0.00004547739,0.00022489305,0.00008592968,0.00019977379,0.000019655155],"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":[0.00066613086,0.00038853937,0.00012394585,0.00044719456,0.0009736955,0.000150486,0.012960633,0.04098654,0.76568717,0.13741401,0.0015441627,0.038657483],"study_design_scores_gemma":[0.00227568,0.00031972784,0.000027364644,0.00010105082,0.00008910717,0.00010774235,0.00020953831,0.984473,0.005592164,0.002305429,0.003965886,0.00053331646],"about_ca_topic_score_codex":0.000028034296,"about_ca_topic_score_gemma":0.000008455636,"teacher_disagreement_score":0.94348645,"about_ca_system_score_codex":0.000050130213,"about_ca_system_score_gemma":0.000022262202,"threshold_uncertainty_score":0.99989897},"labels":[],"label_agreement":null},{"id":"W2316517299","doi":"10.2514/6.2004-4949","title":"AIRS II Flight Determination of Turboprop Transport Aeroplane Lift, Drag, and Propulsive Effiency Effects in Freezing Drizzle Icing","year":2004,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Icing and De-icing Technologies","field":"Engineering","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":"National Research Council Canada","funders":"National Research Council Canada; Federal Aviation Administration","keywords":"Drizzle; Icing; Environmental science; Wind tunnel; Drag; Airframe; Icing conditions; Lift (data mining); Wake; Freezing rain; Atmospheric sciences; Runway; Meteorology; Pitot tube; Aerospace engineering; Mechanics; Physics; Engineering; Flow (mathematics)","score_opus":0.004559264158176228,"score_gpt":0.17818704206162594,"score_spread":0.17362777790344971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316517299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87029696,0.00048634454,0.12789679,0.000075066135,0.0002164731,0.0003784234,0.000002876205,0.00032595903,0.00032112305],"genre_scores_gemma":[0.98446673,0.000497484,0.014876992,0.000025269846,0.000021833095,0.000035307563,0.000007952522,0.00003669737,0.000031744396],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985911,0.000018949995,0.00041027585,0.0003792401,0.0002003819,0.00040003902],"domain_scores_gemma":[0.99944496,0.000056587975,0.00008915138,0.0002661757,0.000068237874,0.00007488076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016698164,0.0003225869,0.00048245897,0.000043088392,0.00013132938,0.00002770421,0.00016700248,0.0002660471,0.000005868231],"category_scores_gemma":[0.000055714536,0.00029665307,0.000040886764,0.0003821904,0.00005895654,0.00022454918,0.00006711631,0.0003109002,0.0000025386953],"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":[0.00015704146,0.00035489097,0.0052406914,0.004768961,0.00015920994,0.00057895266,0.025489775,0.010156275,0.42570674,0.10132525,0.00004213343,0.42602006],"study_design_scores_gemma":[0.0027310844,0.0011110796,0.0017230661,0.0026753608,0.00013330103,0.0001209975,0.0010483611,0.103416085,0.8553609,0.0304492,0.000116746065,0.0011138149],"about_ca_topic_score_codex":0.0002087025,"about_ca_topic_score_gemma":0.00016255329,"teacher_disagreement_score":0.42965415,"about_ca_system_score_codex":0.00006491552,"about_ca_system_score_gemma":0.000049067763,"threshold_uncertainty_score":0.99994856},"labels":[],"label_agreement":null},{"id":"W2317221425","doi":"10.2514/6.2001-4260","title":"In-flight technique for calibrating air data systems using Kalman filtering and smoothing","year":2001,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Aerospace and Aviation Technology","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":"Institute for Biological Sciences","funders":"","keywords":"Kalman filter; Smoothing; Computer science; Extended Kalman filter; Fast Kalman filter; Artificial intelligence; Computer vision","score_opus":0.030909252518845153,"score_gpt":0.24469002769949438,"score_spread":0.21378077518064922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317221425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14031126,0.0013199123,0.8565272,0.00025119944,0.00027966345,0.00067188364,0.000019426237,0.00032775762,0.00029169294],"genre_scores_gemma":[0.9708942,0.00078816613,0.027887171,0.00008250925,0.00008557047,0.000094091534,0.00002010188,0.00005669904,0.00009148878],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859595,0.00002141266,0.00038259404,0.0004621789,0.00011111337,0.00042674356],"domain_scores_gemma":[0.99932617,0.00006282104,0.00008602915,0.000396643,0.000043645272,0.00008469857],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026904125,0.00027425602,0.0003722806,0.000024314686,0.0001509398,0.000105755134,0.00028909848,0.00026494343,0.000017354467],"category_scores_gemma":[0.00003543291,0.0002815774,0.000023406505,0.00027180978,0.000025291603,0.0006907865,0.0002312052,0.00023317897,0.0000019984564],"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":[0.000050809234,0.000071804134,0.0017837231,0.0013817361,0.00016400972,0.00016268369,0.0020070942,0.012134071,0.8527801,0.115753934,0.0011080012,0.012602056],"study_design_scores_gemma":[0.00039952545,0.00005455931,0.000018228819,0.00029056796,0.000027066239,0.000102257414,0.0007402271,0.97446704,0.014914186,0.0023220535,0.006235413,0.00042885763],"about_ca_topic_score_codex":0.0001315973,"about_ca_topic_score_gemma":0.000065833505,"teacher_disagreement_score":0.96233296,"about_ca_system_score_codex":0.00005073305,"about_ca_system_score_gemma":0.000031391875,"threshold_uncertainty_score":0.99996364},"labels":[],"label_agreement":null},{"id":"W2319726149","doi":"10.2514/6.2005-6126","title":"Design Improvements for a Multi-Tethered Aerostat System","year":2005,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Telescope; Radio telescope; Computer science; Reflector (photography); Point (geometry); Focal point; Aerospace engineering; Baseline (sea); Position (finance); Simulation; Cardinal point; Marine engineering; Engineering; Physics; Optics; Geology","score_opus":0.024485636456696557,"score_gpt":0.21133297101752316,"score_spread":0.1868473345608266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319726149","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02706328,0.000924936,0.969681,0.00004358839,0.00070821284,0.00057010254,0.000011787171,0.0007995713,0.00019749168],"genre_scores_gemma":[0.8996291,0.0001525414,0.09854713,0.00003771657,0.00015910057,0.00029024138,0.000011435777,0.000096571384,0.0010761351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985348,0.0000243061,0.000358943,0.0003664942,0.00016749353,0.0005479827],"domain_scores_gemma":[0.99929804,0.000048499664,0.000059757236,0.00031688795,0.00008842174,0.0001883929],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023809224,0.0003762968,0.00039445344,0.000009638369,0.00013060923,0.00010809557,0.00019223908,0.00020154544,0.000020471238],"category_scores_gemma":[0.000012437676,0.00035742167,0.000075719414,0.00014296976,0.000012790483,0.00020306776,0.00003728666,0.00013948166,0.000044786873],"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":[0.0001511431,0.00017597919,0.00006343496,0.0021269114,0.0008141585,0.00003397937,0.0042749797,0.5946773,0.24962336,0.046155863,0.005998236,0.09590461],"study_design_scores_gemma":[0.001031238,0.00010598203,0.0000044327694,0.00013106954,0.00003724072,0.000014364102,0.00035118836,0.9742971,0.015407865,0.000032603148,0.008151838,0.00043504388],"about_ca_topic_score_codex":0.000031862204,"about_ca_topic_score_gemma":0.000022391498,"teacher_disagreement_score":0.87256587,"about_ca_system_score_codex":0.00013668451,"about_ca_system_score_gemma":0.000032081047,"threshold_uncertainty_score":0.99988776},"labels":[],"label_agreement":null},{"id":"W2320291488","doi":"10.2514/6.2002-4612","title":"Control of a Radio Telescope Receiver Supported by a Tethered Aerostat","year":2002,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Aerospace Engineering and Energy 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":"McGill University; University of Victoria","funders":"","keywords":"Radio telescope; Telescope; Computer science; Radio frequency; Physics; Aerospace engineering; Electrical engineering; Engineering; Telecommunications; Astronomy","score_opus":0.007189771055300891,"score_gpt":0.16244756107783115,"score_spread":0.15525779002253026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320291488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5600335,0.011030317,0.42093754,0.00027986374,0.0012312287,0.000663123,0.000106847096,0.0010760434,0.0046415445],"genre_scores_gemma":[0.9956185,0.0014994523,0.0011813298,0.00003986392,0.00004599959,0.000037365022,0.000012769504,0.00007104264,0.0014936412],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985623,0.00003427543,0.0004051245,0.0003123763,0.0002292574,0.00045670915],"domain_scores_gemma":[0.9992383,0.00005362747,0.00007997392,0.00035345936,0.0000817042,0.00019294584],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012792184,0.0003496955,0.0005401771,0.00001045721,0.000060569597,0.000047964542,0.00019393944,0.0002140267,0.0005167893],"category_scores_gemma":[0.00002101187,0.00033168076,0.000081012724,0.00026302156,0.000035328078,0.00016431896,0.000023747543,0.00020768239,0.000047795893],"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":[0.00011217815,0.0003008069,0.0007262121,0.0009963431,0.0012447257,0.00010916957,0.00653244,0.043923724,0.79158974,0.016084775,0.09523268,0.0431472],"study_design_scores_gemma":[0.0017568282,0.00020760408,0.00002995876,0.00020035173,0.000078404955,0.00003557602,0.0003306511,0.94122154,0.02297584,0.0001242551,0.032343306,0.0006957041],"about_ca_topic_score_codex":0.000084078965,"about_ca_topic_score_gemma":0.0000128638785,"teacher_disagreement_score":0.8972978,"about_ca_system_score_codex":0.00004414951,"about_ca_system_score_gemma":0.000014318122,"threshold_uncertainty_score":0.9999135},"labels":[],"label_agreement":null},{"id":"W2322570694","doi":"10.2514/6.2004-5366","title":"A Feasibility Study on the Inflight Measurement of Enroute Wake Vortex Characteristics","year":2004,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Wake; Vortex; Wake turbulence; Environmental science; Marine engineering; Physics; Mechanics; Engineering","score_opus":0.021795650598670682,"score_gpt":0.20952953310053954,"score_spread":0.18773388250186884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322570694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94244987,0.00008511493,0.05582836,0.0002478893,0.00031811232,0.00057852693,0.00001737121,0.00008836458,0.00038640024],"genre_scores_gemma":[0.99911773,0.000108386164,0.000568146,0.00007881898,0.000035062374,0.000032700784,0.000008007292,0.000029431705,0.000021737489],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984056,0.000038938873,0.00046249875,0.00031225604,0.0005181174,0.0002625859],"domain_scores_gemma":[0.99907243,0.00006273225,0.00008787352,0.0004190496,0.00026505298,0.0000928476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004315482,0.00028377707,0.00034260284,0.000008787309,0.00011629897,0.000070232905,0.0002418892,0.000079883306,0.000028068289],"category_scores_gemma":[0.000055539054,0.00021409028,0.00007555885,0.00022526269,0.000029311552,0.00007810885,0.0000783992,0.00022387767,0.000013088538],"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":[0.0001518869,0.0017512394,0.006105514,0.0002796381,0.0007172975,0.00006137865,0.006055467,0.039794598,0.036344387,0.89644396,0.00008047818,0.012214149],"study_design_scores_gemma":[0.0022401104,0.0009576048,0.065010846,0.00030509583,0.00017889752,0.000013815428,0.0011564115,0.88718474,0.0016910358,0.03982431,0.0004602077,0.000976939],"about_ca_topic_score_codex":0.000027320451,"about_ca_topic_score_gemma":0.00008318161,"teacher_disagreement_score":0.85661966,"about_ca_system_score_codex":0.00014864083,"about_ca_system_score_gemma":0.00009412694,"threshold_uncertainty_score":0.8730348},"labels":[],"label_agreement":null},{"id":"W2324078391","doi":"10.2514/6.2001-4012","title":"Beechjet flight test data gathering and Level-D simulator aerodynamic mathematical model development","year":2001,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Aerodynamics; Computer science; Simulation; Flight simulator; Data modeling; Flight test; Atmospheric model; Aerospace engineering; Engineering; Meteorology; Database; Physics","score_opus":0.0374939583363239,"score_gpt":0.22557355203584128,"score_spread":0.18807959369951738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324078391","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40881455,0.00041029014,0.5888497,0.00029323465,0.0000767076,0.00025191685,0.000023890781,0.00051427144,0.0007654481],"genre_scores_gemma":[0.95877135,0.0010560811,0.03925054,0.000093269504,0.000024374349,0.000027070195,0.000040510924,0.000058424655,0.0006783639],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839175,0.000010342754,0.00039800938,0.00052192085,0.00021042068,0.00046756797],"domain_scores_gemma":[0.99901086,0.00007724865,0.00006315332,0.000622652,0.00006031507,0.00016575892],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018168068,0.00035834045,0.00039330852,0.000014334599,0.0001662246,0.00010260496,0.00039929175,0.00025986353,0.00012494465],"category_scores_gemma":[0.00005747813,0.00033880063,0.000025022206,0.00021339892,0.000042051455,0.00034320235,0.00035031844,0.0002559815,0.0000738609],"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":[0.00011877621,0.0009830806,0.006920017,0.0019296573,0.0010983333,0.00038589447,0.010969307,0.058481693,0.20216766,0.30589324,0.0054521384,0.40560022],"study_design_scores_gemma":[0.00038033625,0.00003438339,0.000101125086,0.00008363866,0.00003340659,0.000040776482,0.00019945197,0.9874492,0.0019456047,0.006279687,0.0030044378,0.0004478987],"about_ca_topic_score_codex":0.000006569275,"about_ca_topic_score_gemma":0.0000787504,"teacher_disagreement_score":0.92896754,"about_ca_system_score_codex":0.00005283326,"about_ca_system_score_gemma":0.00006197067,"threshold_uncertainty_score":0.9999064},"labels":[],"label_agreement":null},{"id":"W2330174155","doi":"10.2514/6.2002-4411","title":"Aerodynamic Database Development for Mars Smart Lander Vehicle Configurations","year":2002,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","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":"Mars Exploration Program; Aerospace engineering; Aerodynamics; Aeronautics; Computer science; Astrobiology; Exploration of Mars; Mars landing; Environmental science; Automotive engineering; Engineering; Physics","score_opus":0.042530735831800566,"score_gpt":0.2504583834668945,"score_spread":0.20792764763509392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330174155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48952195,0.00038335612,0.5026358,0.0012659712,0.0004922079,0.0011998065,0.0000727395,0.00022531685,0.0042028385],"genre_scores_gemma":[0.9328888,0.00019581463,0.06280636,0.0002746616,0.00004316746,0.00014769324,0.000062072475,0.00004815869,0.0035332944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844515,0.0000430975,0.0004248544,0.0004454563,0.00021244037,0.00042897178],"domain_scores_gemma":[0.9988743,0.00023597771,0.00014080829,0.000417939,0.00016720715,0.00016377923],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030533524,0.0002866184,0.00033658737,0.000011139909,0.0002852036,0.00010648779,0.00021763766,0.00013396758,0.00082812505],"category_scores_gemma":[0.00010638219,0.00025946353,0.000068259214,0.0001372741,0.00003633386,0.00013784306,0.00009624804,0.00014965537,0.00005550769],"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":[0.00003124945,0.00021909187,0.00006587135,0.00016288878,0.000106325446,0.000010964398,0.0012769101,0.000009943734,0.0072779288,0.9742535,0.0028601282,0.013725196],"study_design_scores_gemma":[0.0026676685,0.00026246792,0.00020304622,0.00022938085,0.00020500533,0.000047148627,0.0009170769,0.68718606,0.0018306016,0.26242265,0.042888347,0.0011405724],"about_ca_topic_score_codex":0.000014845325,"about_ca_topic_score_gemma":0.00014685187,"teacher_disagreement_score":0.71183085,"about_ca_system_score_codex":0.000043287862,"about_ca_system_score_gemma":0.000060180908,"threshold_uncertainty_score":0.99998575},"labels":[],"label_agreement":null},{"id":"W2330255805","doi":"10.2514/6.2001-4200","title":"Time-filtered limit cycle computation for aeroelastic systems","year":2001,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","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":"McGill University","funders":"","keywords":"Aeroelasticity; Computation; Limit (mathematics); Limit cycle; Computer science; Control theory (sociology); Aerodynamics; Physics; Mathematics; Mechanics; Algorithm; Mathematical analysis; Artificial intelligence","score_opus":0.017665588692820602,"score_gpt":0.231478525015911,"score_spread":0.2138129363230904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330255805","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23402233,0.00016056547,0.76162434,0.0002968529,0.00061098655,0.00055974064,0.000014624865,0.00009264305,0.0026179336],"genre_scores_gemma":[0.9951474,0.000060785515,0.0015787615,0.00007784957,0.00036114533,0.000098122364,0.000072279494,0.000029253573,0.002574398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987705,0.00003932105,0.00029944372,0.00039481066,0.00014350946,0.00035246107],"domain_scores_gemma":[0.9993134,0.000080652826,0.00013913172,0.00017064036,0.00014134587,0.00015484128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009861951,0.000236308,0.00029907384,0.000007214405,0.00021827465,0.00015086458,0.000116483985,0.00007777271,0.00037524846],"category_scores_gemma":[0.000004372066,0.000217918,0.00008728401,0.00015484696,0.000025452104,0.00018750176,0.000044354107,0.00012294299,0.00008432897],"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":[0.00060241786,0.00069024035,0.0009035442,0.0002188058,0.00058750587,0.000019036084,0.0014305032,0.09918032,0.014427548,0.5774552,0.021405183,0.28307968],"study_design_scores_gemma":[0.0006866917,0.00013947973,0.000016941554,0.000056956847,0.0000524541,0.0000096634985,0.0002629352,0.9807319,0.00025257128,0.009476737,0.008028047,0.00028560887],"about_ca_topic_score_codex":0.000051542007,"about_ca_topic_score_gemma":0.0000015964669,"teacher_disagreement_score":0.88155156,"about_ca_system_score_codex":0.000017250972,"about_ca_system_score_gemma":0.000042364944,"threshold_uncertainty_score":0.8886438},"labels":[],"label_agreement":null},{"id":"W2331361927","doi":"10.2514/6.2008-6565","title":"Modeling of the Urban Gust Environment with Application to Autonomous Flight","year":2008,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Wind and Air Flow Studies","field":"Environmental Science","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":"Carleton University","funders":"","keywords":"Canyon; Computational fluid dynamics; Computer science; Urban environment; Set (abstract data type); Meteorology; Turbulence; Environmental science; Wind direction; Marine engineering; Wind speed; Aerospace engineering; Engineering; Geography; Cartography","score_opus":0.008835316411862599,"score_gpt":0.1735439683081149,"score_spread":0.16470865189625228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331361927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85146815,0.00013867057,0.14330804,0.001099839,0.0000708093,0.0005542836,0.0000050291837,0.000041484796,0.0033137114],"genre_scores_gemma":[0.99421483,0.00016674786,0.0043934933,0.0002835076,0.000029960096,0.000062710445,0.000001733293,0.000016812484,0.00083021837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986962,0.00002376056,0.00023857671,0.00042967885,0.00033038907,0.00028137173],"domain_scores_gemma":[0.9993815,0.0000132642335,0.000079167614,0.00040078588,0.000014606221,0.0001106856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008949806,0.00021269296,0.00023055183,0.0000030815443,0.0003354104,0.000014266288,0.00028160817,0.00006356574,0.00021957437],"category_scores_gemma":[0.000005836112,0.00013754402,0.00004759437,0.00019907315,0.00009971147,0.00011317517,0.00032376958,0.00010629292,0.000105389394],"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":[0.00046887,0.001522098,0.0928986,0.00019231715,0.00044513613,0.00006719784,0.040810764,0.53600204,0.18866672,0.049645916,0.010392212,0.07888816],"study_design_scores_gemma":[0.0009619303,0.0005636262,0.0067403545,0.00011259692,0.00011472801,0.00005876542,0.0010054103,0.93598443,0.017452007,0.0020623545,0.033935428,0.0010083747],"about_ca_topic_score_codex":0.00026413586,"about_ca_topic_score_gemma":0.00005779774,"teacher_disagreement_score":0.39998242,"about_ca_system_score_codex":0.00006941346,"about_ca_system_score_gemma":0.000024227917,"threshold_uncertainty_score":0.56088823},"labels":[],"label_agreement":null},{"id":"W2332775590","doi":"10.2514/6.2001-4255","title":"Non-planar aerodynamics of delta wings at high incidence","year":2001,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Ship Hydrodynamics and Maneuverability","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":"Institute for Biological Sciences","funders":"","keywords":"Aerodynamics; Delta wing; Incidence (geometry); Planar; Delta; Aerospace engineering; Computer science; Geology; Physics; Engineering; Optics; Computer graphics (images)","score_opus":0.006527046118495414,"score_gpt":0.18724000557661458,"score_spread":0.18071295945811916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332775590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960338,0.00022267898,0.03738902,0.00010549402,0.00040327018,0.00022883531,0.000017550195,0.00015443201,0.0011407434],"genre_scores_gemma":[0.99520594,0.0016853494,0.0026521632,0.000092344846,0.000038197606,0.000019783887,0.000034209967,0.00004542052,0.00022656597],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998387,0.000019004536,0.0004471002,0.00042640942,0.00027404664,0.00044644732],"domain_scores_gemma":[0.99901074,0.00006682884,0.000098293465,0.00051697885,0.00013103991,0.0001761263],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022125794,0.00033361893,0.00046014038,0.000012538621,0.00011067067,0.000042428455,0.00031226268,0.00020960506,0.00019614468],"category_scores_gemma":[0.000026668578,0.0003332942,0.0000784154,0.00031948622,0.00005393734,0.00022074688,0.00013003573,0.0002181068,0.000027835351],"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":[0.0006662995,0.00066590554,0.052734263,0.002490134,0.0010085027,0.00067418325,0.007748762,0.06126311,0.47391674,0.33860883,0.004439042,0.055784237],"study_design_scores_gemma":[0.0005651381,0.00015311371,0.0031420055,0.000104987535,0.00006773603,0.00006709196,0.00013790176,0.97774047,0.0039059864,0.01176745,0.0017420333,0.0006060888],"about_ca_topic_score_codex":0.0004995667,"about_ca_topic_score_gemma":0.0008407719,"teacher_disagreement_score":0.9164774,"about_ca_system_score_codex":0.00012616352,"about_ca_system_score_gemma":0.000044681532,"threshold_uncertainty_score":0.9999119},"labels":[],"label_agreement":null},{"id":"W2333618208","doi":"10.2514/6.2007-6573","title":"Development and Assessment of CFD Methods for Integrated Simulation of Air Vehicle Stability and Control","year":2007,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Computational Fluid Dynamics and Aerodynamics","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":"U.S. Department of Defense","keywords":"Airframe; Systems engineering; Software; Air combat; Computational fluid dynamics; Engineering; Computer science; Suite; Scalability; Aeronautics; Aerospace engineering; Operating system","score_opus":0.016920101314300672,"score_gpt":0.28746499138322434,"score_spread":0.2705448900689237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333618208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45681185,0.00011478629,0.542804,0.000011152778,0.00003964168,0.00015856649,0.000007510708,0.000015498981,0.000037026683],"genre_scores_gemma":[0.7394977,0.000047919788,0.26040697,0.000011239364,0.0000044188555,0.000006778554,0.00001133975,0.000009879044,0.0000037211555],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991653,0.000021740701,0.00038896233,0.00018064317,0.00009437822,0.00014899755],"domain_scores_gemma":[0.9991903,0.0003706362,0.00007330076,0.000090562564,0.00020970288,0.000065505854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006246887,0.00014032034,0.00028101337,0.000009589384,0.000045319746,0.000013944614,0.00004626364,0.000077563185,0.0000065038093],"category_scores_gemma":[0.000031759977,0.00013220868,0.000024460289,0.000109794455,0.000025684729,0.00007309635,0.000030210458,0.000076643264,5.288673e-8],"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":[0.0001408144,0.00012680971,0.002385852,0.00083956367,0.0002711267,0.0000014137464,0.0016905653,0.104388565,0.2253886,0.14851238,0.0000035004987,0.5162508],"study_design_scores_gemma":[0.00058820925,0.00007340087,0.0036815254,0.000035782083,0.00002641594,7.799047e-7,0.00018636406,0.98612636,0.005742582,0.0030894724,0.00031459754,0.00013451207],"about_ca_topic_score_codex":0.000012431539,"about_ca_topic_score_gemma":0.000038162067,"teacher_disagreement_score":0.88173777,"about_ca_system_score_codex":0.000039543833,"about_ca_system_score_gemma":0.00006250736,"threshold_uncertainty_score":0.53913134},"labels":[],"label_agreement":null},{"id":"W2334124314","doi":"10.2514/6.2002-4714","title":"Hysteresis and Bifurcation Analysis of A Fighter and A Delta Wing at High Incidence","year":2002,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Computational Fluid Dynamics and Aerodynamics","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":"National Research Council Canada","funders":"","keywords":"Delta wing; Bifurcation; Angle of attack; Mechanics; Control theory (sociology); Vortex; Wing; Hysteresis; Attractor; Physics; Mathematics; Aerodynamics; Mathematical analysis; Thermodynamics; Nonlinear system; Computer science; Condensed matter physics","score_opus":0.008146658089842234,"score_gpt":0.17785945700190667,"score_spread":0.16971279891206442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334124314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95628166,0.0010929155,0.042203635,0.00010447027,0.000058016725,0.00009600225,0.000023541681,0.0000465162,0.00009324293],"genre_scores_gemma":[0.9942695,0.0017824767,0.0037376597,0.000048249964,0.000011824034,0.000008803634,0.000027774136,0.000016874616,0.00009681913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990821,0.000017680619,0.00028270698,0.00028090356,0.00015834885,0.00017826661],"domain_scores_gemma":[0.9995016,0.000092980124,0.00006158843,0.00016829929,0.00008486913,0.000090703856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085184976,0.0001849878,0.00032505477,0.000031310214,0.000088105735,0.00006245591,0.000078696685,0.0000864165,0.00010199778],"category_scores_gemma":[0.000014068612,0.00018102824,0.000043153934,0.00043354853,0.000028149669,0.00016328364,0.00010443222,0.000075007134,0.0000027401957],"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":[0.00013505422,0.00029998538,0.050959963,0.001750782,0.005672796,0.00009958744,0.015630707,0.17205116,0.1501818,0.39272287,0.0008217597,0.20967354],"study_design_scores_gemma":[0.00019084847,0.000037097256,0.0076375506,0.000047163347,0.00025335015,0.0000074864456,0.000046632882,0.9897511,0.00016370842,0.001587072,0.00007407599,0.0002039406],"about_ca_topic_score_codex":0.00010109341,"about_ca_topic_score_gemma":0.00031173837,"teacher_disagreement_score":0.8176999,"about_ca_system_score_codex":0.000036754358,"about_ca_system_score_gemma":0.00000661352,"threshold_uncertainty_score":0.73821175},"labels":[],"label_agreement":null},{"id":"W3166404902","doi":"10.2514/6.2003-5534","title":"Preliminary Model Matching of the EMBRAER 170 Jet","year":2003,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Control Systems and Identification","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":"Opal-Rt Technologies (Canada)","funders":"","keywords":"Jet (fluid); Matching (statistics); Computer science; Aerospace engineering; Engineering; Mathematics","score_opus":0.009627139371878719,"score_gpt":0.18276293894652104,"score_spread":0.1731357995746423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166404902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71897256,0.0015309273,0.2715978,0.00013799602,0.0007364534,0.00045258534,0.000008193489,0.00013096936,0.0064325314],"genre_scores_gemma":[0.99766314,0.0001763182,0.001314822,0.00003508398,0.000019087493,0.000027440647,0.0000017633234,0.000024780216,0.00073755824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910134,0.000035560988,0.00029911485,0.00019393134,0.00016775512,0.00020228612],"domain_scores_gemma":[0.9994174,0.000024650666,0.00007464979,0.000358522,0.00007013675,0.00005461245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017727395,0.00016925523,0.0002241821,0.0000046310806,0.00009116745,0.00005045777,0.00016421647,0.00009863996,0.000054306023],"category_scores_gemma":[0.000019200546,0.00012662231,0.00007075188,0.00014420673,0.000014326113,0.00015528523,0.000037539066,0.00012639136,0.000011701755],"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":[0.000032529817,0.00008725575,0.00038542965,0.00051862927,0.00017362654,0.0000038411636,0.00399804,0.06349997,0.2855731,0.6316471,0.0024114896,0.011668971],"study_design_scores_gemma":[0.00032344347,0.000031137974,0.0002237966,0.00011482477,0.000049191083,0.000011402401,0.0002785932,0.9625932,0.013559554,0.020871691,0.0017034566,0.0002397151],"about_ca_topic_score_codex":0.000041500913,"about_ca_topic_score_gemma":0.000027901882,"teacher_disagreement_score":0.8990932,"about_ca_system_score_codex":0.00002292878,"about_ca_system_score_gemma":0.000043281736,"threshold_uncertainty_score":0.5163508},"labels":[],"label_agreement":null}]}