{"meta":{"query_hash":"548c6572a53e","filters":{"venue":"AIAA Atmospheric Flight Mechanics Conference"},"cohort_total":20,"direct_labels_cover":0,"predictions_cover":20,"exported":20,"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/548c6572a53e","api":"https://metacan.xera.ac/api/v1/cohort?venue=AIAA+Atmospheric+Flight+Mechanics+Conference"},"results":[{"id":"W1974879620","doi":"10.2514/6.2009-6046","title":"New Methodologies for Aircraft Stability Derivatives Determination from Its Geometrical Data","year":2009,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":15,"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":"Computer science; Stability (learning theory); Aerospace engineering; Engineering; Machine learning","score_opus":0.10060252921747703,"score_gpt":0.3010768837643213,"score_spread":0.20047435454684426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974879620","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":[0.0012479028,0.00017048424,0.99688053,0.000020472757,0.000025452138,0.000025489937,0.000079162484,0.000427604,0.001122904],"genre_scores_gemma":[0.046561625,0.00055072433,0.948123,0.00003846071,0.0000456175,0.00021000707,0.0006702228,0.0003348988,0.003465474],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877936,0.0002412174,0.00010166578,0.00021339927,0.0006312888,0.000033121294],"domain_scores_gemma":[0.99842703,0.0004927957,0.00018406416,0.00030864714,0.00056174665,0.000025734447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010956702,0.0010875092,0.00057993777,0.0026380422,0.00037493874,0.0013604971,0.0011269109,0.00059633167,0.0033475826],"category_scores_gemma":[0.0031487513,0.00058417843,0.0010109614,0.0012520165,0.0006209731,0.0012684822,0.0011192237,0.001395107,0.0015058288],"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":[0.00007304558,0.0000661062,0.0016280017,0.0007436757,0.00011993529,0.00015473782,0.00035721477,0.16446547,0.044683255,0.07694996,0.004551939,0.7062067],"study_design_scores_gemma":[0.000023311884,0.00008427668,0.0018583509,0.000098971104,0.000028992665,0.0003438864,0.00007191346,0.9122832,0.023898158,0.024873449,0.0363666,0.00006896868],"about_ca_topic_score_codex":0.0023518428,"about_ca_topic_score_gemma":0.0016467442,"teacher_disagreement_score":0.0033475826,"about_ca_system_score_codex":0.0006311791,"about_ca_system_score_gemma":0.00085317454,"threshold_uncertainty_score":0.011198759},"labels":[],"label_agreement":null},{"id":"W1997117988","doi":"10.2514/6.2014-2187","title":"Control strategies for an experimental morphing wing model","year":2014,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Aeroelasticity and Vibration Control","field":"Engineering","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":"Université du Québec","funders":"","keywords":"Morphing; Wing; Computer science; Control (management); Artificial intelligence; Engineering; Aerospace engineering","score_opus":0.020406309565418883,"score_gpt":0.22809642207230113,"score_spread":0.20769011250688224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997117988","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":[0.62582386,0.00012301342,0.3562155,0.00016538434,0.000065683096,0.00038381165,0.00046542878,0.0015253198,0.015232077],"genre_scores_gemma":[0.98220074,0.00002643804,0.015606883,0.00001048658,0.0000029310677,0.00018173935,0.00011731189,0.000023121811,0.0018304024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987376,0.000020379326,0.0000095596715,0.00002969,0.00004892879,0.000017697255],"domain_scores_gemma":[0.99982774,0.000051185598,0.000025878691,0.000038069156,0.000045255863,0.000011838438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021757078,0.0003760151,0.00026976422,0.00021232605,0.00022152407,0.00047400748,0.0004673917,0.0003728109,0.003764221],"category_scores_gemma":[0.0004370329,0.00012515741,0.0003381101,0.00008612663,0.0003520234,0.0002853473,0.00037573968,0.0003930608,0.00022673619],"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":[0.00040870556,0.00015743634,0.0012191831,0.00016518333,0.000029658415,0.00013947941,0.0001359636,0.90584856,0.06837975,0.005134088,0.00032043588,0.018061452],"study_design_scores_gemma":[0.00004101811,0.00024870472,0.0005885898,0.0000050517333,0.000012989097,0.000013912733,0.000022686247,0.98189056,0.015855215,0.00048066126,0.000831083,0.000009547611],"about_ca_topic_score_codex":0.00374623,"about_ca_topic_score_gemma":0.0019746583,"teacher_disagreement_score":0.003764221,"about_ca_system_score_codex":0.0003190153,"about_ca_system_score_gemma":0.00030496664,"threshold_uncertainty_score":0.012592554},"labels":[],"label_agreement":null},{"id":"W2023354229","doi":"10.2514/6.2010-7799","title":"Identification and validation of a F/A-18 model Using Neural Networks","year":2010,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Model Reduction and Neural Networks","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":"École de Technologie Supérieure","funders":"National Aeronautics and Space Administration","keywords":"Artificial neural network; Identification (biology); Computer science; Artificial intelligence; Machine learning; Data mining","score_opus":0.025178095173308344,"score_gpt":0.25421838395595464,"score_spread":0.2290402887826463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023354229","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":[0.740817,0.00018207631,0.25345162,0.00012129848,0.0000629661,0.0001420879,0.00036394625,0.0013896015,0.0034694164],"genre_scores_gemma":[0.97294307,0.00004021435,0.025476238,0.000015879556,0.0000045171264,0.00008173817,0.00029744577,0.000032436703,0.0011084685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970907,0.000059229205,0.000024052808,0.00007097832,0.00008816512,0.000048484413],"domain_scores_gemma":[0.9995571,0.00020960293,0.000055317076,0.000050711238,0.00011047048,0.000016817825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008073663,0.0010097759,0.00047380893,0.00082090823,0.00046205378,0.0006626829,0.0005709825,0.0008762338,0.0010504989],"category_scores_gemma":[0.0019975547,0.0002914737,0.00070103846,0.00022110924,0.0003358211,0.00060653687,0.0004417226,0.00075605663,0.00032247955],"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":[0.00009954668,0.00009750507,0.004845985,0.000036044,0.00004894108,0.0000743799,0.00004018572,0.96107364,0.006294374,0.00025581298,0.00020674587,0.026926817],"study_design_scores_gemma":[0.0000038881894,0.00003166774,0.0009775929,0.0000035931353,0.00000360276,0.000011312413,0.000009116744,0.9966966,0.0020381839,0.00008134767,0.00013837258,0.0000048486954],"about_ca_topic_score_codex":0.019254958,"about_ca_topic_score_gemma":0.011608283,"teacher_disagreement_score":0.019254958,"about_ca_system_score_codex":0.00056152395,"about_ca_system_score_gemma":0.00087965856,"threshold_uncertainty_score":0.038285732},"labels":[],"label_agreement":null},{"id":"W2081436025","doi":"10.2514/6.2012-4639","title":"Design and Experimental Validation of a Control System for a Morphing Wing","year":2012,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":29,"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":"Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Morphing; Wing; Computer science; Aerospace engineering; Computer graphics (images); Engineering","score_opus":0.01827543334343302,"score_gpt":0.21133023118606453,"score_spread":0.19305479784263152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081436025","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":[0.5666258,0.0001955473,0.4192459,0.0004014743,0.00042990976,0.0031805257,0.0005267797,0.004178335,0.005215719],"genre_scores_gemma":[0.9466145,0.00003931081,0.050127905,0.00007377627,0.000020702071,0.0006423832,0.00015652807,0.000066076136,0.002258972],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99919814,0.000115959956,0.000073078554,0.00021250195,0.0002988983,0.000101386504],"domain_scores_gemma":[0.9983595,0.00040751047,0.0001746683,0.0002986987,0.00063660735,0.0001229239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012828356,0.00074705237,0.00040353695,0.00057042117,0.00089060643,0.00062597817,0.0013214974,0.001081636,0.005423984],"category_scores_gemma":[0.0018881893,0.0003989664,0.00031092338,0.00014936423,0.00065999536,0.0005544392,0.0006438522,0.00050196674,0.0008229402],"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":[0.0016666547,0.0010072713,0.0033113998,0.0006730645,0.000105735795,0.00024084306,0.00046159807,0.019202046,0.87629646,0.0015152317,0.0011241812,0.09439546],"study_design_scores_gemma":[0.0012834745,0.010105904,0.014932913,0.000058229652,0.00021944522,0.00031539507,0.00014885142,0.19382904,0.76671207,0.00044277692,0.01185626,0.00009563255],"about_ca_topic_score_codex":0.0019905742,"about_ca_topic_score_gemma":0.0013044514,"teacher_disagreement_score":0.005423984,"about_ca_system_score_codex":0.0004047179,"about_ca_system_score_gemma":0.0009733356,"threshold_uncertainty_score":0.018145084},"labels":[],"label_agreement":null},{"id":"W2145685177","doi":"10.2514/6.2010-7927","title":"Investigating Nonlinear Control Architecture Options for Aerial Refueling","year":2010,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Aerospace Engineering and Control Systems","field":"Engineering","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":"Lockheed Martin (Canada)","funders":"","keywords":"Architecture; Computer science; Nonlinear system; Control (management); Artificial intelligence; Physics; Geography; Archaeology","score_opus":0.007067249848769476,"score_gpt":0.19524245935129145,"score_spread":0.18817520950252198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145685177","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":[0.38254544,0.0019449065,0.5635874,0.0007826844,0.000100730875,0.00031337724,0.00011434721,0.00044145927,0.050169587],"genre_scores_gemma":[0.9785196,0.0004893845,0.0146380775,0.000055464687,0.000018828701,0.00005414834,0.00003782125,0.000011401945,0.0061752954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985707,0.00003471525,0.0000062460963,0.000031696072,0.0000397936,0.00003054782],"domain_scores_gemma":[0.99975413,0.00010023975,0.00004742239,0.000021111844,0.0000663363,0.000010712815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048929313,0.00047936692,0.00023916639,0.00018833719,0.00023731534,0.0008034782,0.0005567218,0.00050291856,0.0037355672],"category_scores_gemma":[0.00090662576,0.00016352114,0.0002353426,0.000115760944,0.0004890115,0.0008180248,0.0005230139,0.00051306665,0.0003328209],"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":[0.00033117505,0.00018155413,0.0025409379,0.0006296657,0.000058924965,0.0003994638,0.00035636825,0.80358064,0.04493659,0.03367398,0.0007561275,0.11255467],"study_design_scores_gemma":[0.000045206052,0.00047764776,0.00074395305,0.000026883425,0.000027639177,0.00004050722,0.00019358855,0.982265,0.008059008,0.0054646614,0.0026420578,0.000013804776],"about_ca_topic_score_codex":0.0035803162,"about_ca_topic_score_gemma":0.005049801,"teacher_disagreement_score":0.0037355672,"about_ca_system_score_codex":0.00042875882,"about_ca_system_score_gemma":0.00043680426,"threshold_uncertainty_score":0.01249671},"labels":[],"label_agreement":null},{"id":"W2171845426","doi":"10.2514/6.2009-5938","title":"New Identification Method Based on Neural Network for Helicopters from Flight Test Data","year":2009,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Aerospace and Aviation Technology","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":"École de Technologie Supérieure","funders":"","keywords":"Flight test; Identification (biology); Artificial neural network; Computer science; Test (biology); Artificial intelligence; Simulation; Geology","score_opus":0.02160724213896558,"score_gpt":0.25239596887471405,"score_spread":0.23078872673574846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171845426","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":[0.012160615,0.00013935832,0.9857778,0.000025310826,0.000026974576,0.00003993772,0.00006601745,0.0012196183,0.00054428075],"genre_scores_gemma":[0.43566045,0.0003113002,0.5580992,0.000056021607,0.000053925523,0.0003700824,0.00048502572,0.0001732131,0.0047908393],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974877,0.000046132885,0.000020860158,0.000083686486,0.000079451,0.000021106414],"domain_scores_gemma":[0.9996377,0.00012413786,0.000061308936,0.000039618993,0.000125571,0.000011688456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044911375,0.00071777933,0.0005159958,0.0008383536,0.00029793062,0.0003852915,0.000516043,0.0005431647,0.00135677],"category_scores_gemma":[0.0012585261,0.0002890465,0.00034128985,0.00048664512,0.0002003154,0.0005758988,0.00038780074,0.0005976517,0.0005429879],"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":[0.00021809583,0.00009380515,0.0025698878,0.0002537064,0.00014516294,0.00029487588,0.00016260376,0.19548826,0.07251202,0.0023731778,0.0015696043,0.7243188],"study_design_scores_gemma":[0.000010211083,0.000046581055,0.0010545829,0.000011315225,0.00001844105,0.00008240504,0.000013671577,0.9899014,0.0070884307,0.0005805546,0.0011763896,0.000015900847],"about_ca_topic_score_codex":0.0044160923,"about_ca_topic_score_gemma":0.003866817,"teacher_disagreement_score":0.0044160923,"about_ca_system_score_codex":0.000254106,"about_ca_system_score_gemma":0.0004359286,"threshold_uncertainty_score":0.008780777},"labels":[],"label_agreement":null},{"id":"W2312715718","doi":"10.2514/6.2012-4418","title":"Simulation Tool for Testing and Validating UAV Autopilots in Wind Gust Environments","year":2012,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Wind and Air Flow Studies","field":"Environmental 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":"Carleton University","funders":"","keywords":"Computer science; Reliability engineering; Environmental science; Meteorology; Aerospace engineering; Systems engineering; Simulation; Aeronautics; Engineering; Physics","score_opus":0.032005442603489954,"score_gpt":0.24261862994211547,"score_spread":0.21061318733862552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312715718","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":[0.62012756,0.00013465068,0.35438323,0.00018184853,0.00019522902,0.00077057513,0.0028658286,0.008260563,0.013080472],"genre_scores_gemma":[0.9182286,0.000105127925,0.07828959,0.00002399986,0.000006762715,0.00051364297,0.001157147,0.0001976455,0.0014773912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969673,0.00010271328,0.000027904645,0.000021735477,0.00010851665,0.000042406868],"domain_scores_gemma":[0.99888796,0.00063276885,0.000068259345,0.00016234808,0.00019482827,0.000053927077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089376915,0.0005719011,0.00043289573,0.0004974247,0.0004061201,0.00037515114,0.0008409354,0.00043948813,0.0031750104],"category_scores_gemma":[0.0018374983,0.00021113193,0.00027903612,0.0003317274,0.00028234482,0.00041195742,0.00041478578,0.0004953631,0.00029145868],"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":[0.00028252645,0.0003082721,0.0036940866,0.00020365867,0.00004121124,0.00023340675,0.00016106656,0.94410884,0.026655791,0.0033969798,0.0020112242,0.018902868],"study_design_scores_gemma":[0.00007777766,0.00024474048,0.0007477622,0.000012936107,0.0000076110286,0.000028257373,0.0000339776,0.9829873,0.013359142,0.0003303792,0.0021593568,0.0000107720325],"about_ca_topic_score_codex":0.004425301,"about_ca_topic_score_gemma":0.004223119,"teacher_disagreement_score":0.004425301,"about_ca_system_score_codex":0.00035081344,"about_ca_system_score_gemma":0.00080778566,"threshold_uncertainty_score":0.010621488},"labels":[],"label_agreement":null},{"id":"W2314639152","doi":"10.2514/6.2009-5709","title":"Adaptive Spatial Filtering for Aeroservoelastic Response Suppression","year":2009,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":5,"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 Standards Association","funders":"National Aeronautics and Space Administration","keywords":"Computer science; Adaptive filter; Algorithm","score_opus":0.02192212459707356,"score_gpt":0.25642526069182864,"score_spread":0.2345031360947551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314639152","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":[0.015538504,0.00053147937,0.97797626,0.00016752457,0.00006753813,0.000016952166,0.000022224523,0.0003053319,0.00537419],"genre_scores_gemma":[0.76876855,0.0011637225,0.21829967,0.00019441858,0.00013602148,0.00008990316,0.00010458151,0.00006527888,0.011177906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998691,0.000023822055,0.0000049337596,0.000017954619,0.000074195814,0.000010099926],"domain_scores_gemma":[0.9998499,0.00007732697,0.00001687446,0.00001391399,0.000038640945,0.0000033033562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019556987,0.00026680253,0.00019095313,0.00022876958,0.0002017253,0.00023927151,0.00032638756,0.00048200542,0.0024736018],"category_scores_gemma":[0.0005903761,0.00009933689,0.00024037067,0.00021919844,0.00023058278,0.00031327637,0.0002393361,0.00028219356,0.00039035684],"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":[0.00028021503,0.00007067178,0.0007798738,0.00020284129,0.000046630365,0.00017099864,0.000108297005,0.36408603,0.22025476,0.048136413,0.0031838776,0.36267936],"study_design_scores_gemma":[0.0000111799145,0.000072510105,0.0003480755,0.000011612806,0.000011185077,0.000062526036,0.000012227341,0.9741468,0.013431048,0.0066386187,0.0052448553,0.000009325413],"about_ca_topic_score_codex":0.0019128232,"about_ca_topic_score_gemma":0.0022376166,"teacher_disagreement_score":0.0024736018,"about_ca_system_score_codex":0.0003305234,"about_ca_system_score_gemma":0.0002598996,"threshold_uncertainty_score":0.008274972},"labels":[],"label_agreement":null},{"id":"W2316523013","doi":"10.2514/6.2010-8120","title":"Application of Artificial Neural Networks in Aerodynamics Prediction of Low-Reynolds-Number Figure-Eight Motion of an Airfoil","year":2010,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics 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":"Airfoil; Aerodynamics; Lift (data mining); Reynolds number; Flapping; Computational fluid dynamics; Artificial neural network; Lift coefficient; Aerodynamic center; Computer science; Mechanics; Angle of attack; Aerospace engineering; Physics; Artificial intelligence; Engineering; Pitching moment; Wing; Machine learning","score_opus":0.006208581933427092,"score_gpt":0.19603902108743781,"score_spread":0.1898304391540107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316523013","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":[0.7005206,0.0006196601,0.29406098,0.00027906624,0.000069281814,0.000032370102,0.00007198682,0.00035508693,0.0039909813],"genre_scores_gemma":[0.9872743,0.000098866665,0.011875416,0.000018098299,0.000007915902,0.000016147746,0.000032503485,0.0000066366156,0.0006702492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999044,0.00003358724,0.0000058821115,0.00001649204,0.000028521248,0.000011212036],"domain_scores_gemma":[0.9996458,0.00021833392,0.00003390465,0.00001468037,0.00007765064,0.000009447262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037499343,0.00036576902,0.00021770754,0.00022363332,0.00016883184,0.00031184932,0.0002291269,0.00044227706,0.00042664143],"category_scores_gemma":[0.0014461874,0.00016583594,0.00017181745,0.00015863152,0.00018374971,0.00035048852,0.00015235375,0.00029474573,0.00010051041],"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":[0.00002840681,0.000025929005,0.0015371741,0.000014107765,0.000011597584,0.00002322703,0.000009976284,0.9790435,0.0019618764,0.00022149687,0.00008755489,0.017035164],"study_design_scores_gemma":[5.337979e-7,0.000006041542,0.0001698373,0.0000010313095,7.815187e-7,0.0000017754633,0.0000011830102,0.99943966,0.0003075415,0.00004874308,0.00002198163,8.9362703e-7],"about_ca_topic_score_codex":0.0051776245,"about_ca_topic_score_gemma":0.0037503522,"teacher_disagreement_score":0.0051776245,"about_ca_system_score_codex":0.00031213037,"about_ca_system_score_gemma":0.00030708304,"threshold_uncertainty_score":0.010294974},"labels":[],"label_agreement":null},{"id":"W2320183949","doi":"10.2514/6.2014-0194","title":"Development of a Flight Data System and Experimental Determination of Aerodynamic Loads on a Wing Spar","year":2014,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Aerospace and Aviation Technology","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spar; Wing; Aerodynamics; Aerospace engineering; Aeronautics; Fixed wing; Wing loading; Marine engineering; Airplane; Computer science; Engineering; Structural engineering; Angle of attack","score_opus":0.014852660315254883,"score_gpt":0.21558836749470672,"score_spread":0.20073570717945183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320183949","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":[0.4631376,0.00010312217,0.51506567,0.00019333969,0.00018804181,0.0037885949,0.0038061007,0.0076525584,0.006064958],"genre_scores_gemma":[0.7357943,0.00019290947,0.25138646,0.00024009528,0.00007936765,0.004782435,0.0025581215,0.0003600365,0.004606149],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993241,0.000066515,0.000061330626,0.00016298128,0.0003152032,0.00006981537],"domain_scores_gemma":[0.9990576,0.000193778,0.00005507236,0.00021519916,0.00039251294,0.000085910026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009664891,0.0005755079,0.0006000578,0.00085725315,0.00066439353,0.0005335959,0.0010274486,0.00056462275,0.005344356],"category_scores_gemma":[0.001325463,0.00042548164,0.00019976628,0.00062219583,0.0004148196,0.0007836729,0.00072369486,0.0006872054,0.0012412753],"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":[0.00049274566,0.0010703154,0.010978476,0.00046933448,0.00005271028,0.00024198029,0.00048088824,0.007627,0.86523175,0.0019956145,0.002289522,0.10906976],"study_design_scores_gemma":[0.0004359277,0.0064500826,0.036783084,0.00008681492,0.00008039803,0.0005768978,0.00030636296,0.080660224,0.85200036,0.0008547922,0.021646196,0.00011881333],"about_ca_topic_score_codex":0.0014837176,"about_ca_topic_score_gemma":0.001580283,"teacher_disagreement_score":0.005344356,"about_ca_system_score_codex":0.000350113,"about_ca_system_score_gemma":0.0011663312,"threshold_uncertainty_score":0.017878652},"labels":[],"label_agreement":null},{"id":"W2323114621","doi":"10.2514/6.2016-1039","title":"Parameter Estimation for Extending Flight Models into Post-Stall Regime - Invited","year":2016,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Aerospace and Aviation Technology","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 Toronto","funders":"","keywords":"Stall (fluid mechanics); Computer science; Aerospace engineering; Control theory (sociology); Engineering; Artificial intelligence","score_opus":0.013234869288207133,"score_gpt":0.21181937595716088,"score_spread":0.19858450666895375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323114621","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":[0.035490323,0.0010650544,0.9573132,0.0008737728,0.0005233363,0.000035502053,0.00027962367,0.0010941036,0.0033250991],"genre_scores_gemma":[0.845402,0.0018510667,0.12648824,0.000319381,0.00084535877,0.00010183877,0.0012157526,0.00069943216,0.023077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973446,0.00008224342,0.0000130159515,0.00008907582,0.000047104637,0.00003413236],"domain_scores_gemma":[0.99899954,0.0004708734,0.000053125517,0.00020431231,0.00023692283,0.0000352789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011023853,0.00077827106,0.0008326259,0.00038050103,0.0004023642,0.0009356377,0.00087207375,0.00092443,0.0036678151],"category_scores_gemma":[0.004699605,0.0005966076,0.00088593655,0.00031656667,0.00037230196,0.0014133959,0.00097325485,0.0015321238,0.0016131026],"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":[0.00016724279,0.00007912612,0.0028679757,0.00008632574,0.00011616973,0.00016316526,0.00007633747,0.81381816,0.0070599574,0.007829876,0.005864116,0.16187155],"study_design_scores_gemma":[0.0000024537803,0.000016140415,0.00039241527,0.000006479071,0.000007989887,0.000010869676,0.00000691152,0.994472,0.0008438689,0.0027222384,0.0015115653,0.000006991937],"about_ca_topic_score_codex":0.008299844,"about_ca_topic_score_gemma":0.004090977,"teacher_disagreement_score":0.008299844,"about_ca_system_score_codex":0.00033013697,"about_ca_system_score_gemma":0.0005295254,"threshold_uncertainty_score":0.016503096},"labels":[],"label_agreement":null},{"id":"W2326841541","doi":"10.2514/6.2010-8119","title":"The Unsteady Aerodynamics of Paired-Plunging Airfoils Using Computational Fluid Dynamics","year":2010,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Fluid Dynamics and Turbulent Flows","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":"Toronto Metropolitan University","funders":"","keywords":"Aerodynamics; Airfoil; Computational fluid dynamics; Aerospace engineering; Dynamics (music); Computer science; Mechanics; Physics; Engineering; Acoustics","score_opus":0.0067817356031118345,"score_gpt":0.19317724322219126,"score_spread":0.18639550761907944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326841541","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":[0.97240835,0.00009980356,0.025155546,0.000041376443,0.000022254726,0.000030139632,0.000032212512,0.00006530787,0.002145141],"genre_scores_gemma":[0.9939288,0.00004025048,0.0054698642,0.000006832933,0.000004706253,0.00001745791,0.000022594477,0.0000091437805,0.0005002648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998604,0.000052517964,0.000006667645,0.00001213322,0.000042873027,0.000025280426],"domain_scores_gemma":[0.9996878,0.00016145199,0.000043495424,0.000030519408,0.000039739654,0.00003707189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027211235,0.0005381679,0.00038897834,0.00028677506,0.0005308102,0.00064122205,0.00051701715,0.0007266111,0.0004922281],"category_scores_gemma":[0.00095362077,0.00022532737,0.00047284833,0.00017208717,0.0006476556,0.00049779366,0.00046884263,0.00038910614,0.00007419444],"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":[0.00014510899,0.00008259818,0.004410424,0.00004872972,0.000021726622,0.00027336992,0.00011514766,0.9724263,0.015345966,0.0011112388,0.00011376372,0.0059056077],"study_design_scores_gemma":[0.000008796124,0.00006096277,0.0008967975,0.0000034515863,0.0000035362164,0.000029157041,0.000021556643,0.9965526,0.0021783588,0.00010924506,0.00013018645,0.0000053232416],"about_ca_topic_score_codex":0.00504748,"about_ca_topic_score_gemma":0.0024737772,"teacher_disagreement_score":0.00504748,"about_ca_system_score_codex":0.00029891534,"about_ca_system_score_gemma":0.00049663277,"threshold_uncertainty_score":0.0100361705},"labels":[],"label_agreement":null},{"id":"W2329567341","doi":"10.2514/6.2015-0525","title":"Spatial Parameterization of Blunt Body Dynamics under Parachutes","year":2015,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics 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":"Dynamics (music); Computer science; Blunt; Physics; Acoustics; Materials science","score_opus":0.013701229619026683,"score_gpt":0.18971254280527766,"score_spread":0.176011313186251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329567341","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":[0.5413014,0.00031241387,0.41990378,0.0004213139,0.00006536293,0.00007583947,0.00036345946,0.00039033729,0.037166014],"genre_scores_gemma":[0.9917258,0.00012214824,0.004227079,0.000026059046,0.000012251427,0.00003156665,0.00006481419,0.000027453007,0.003762829],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998914,0.000014018687,0.0000046816763,0.000027275402,0.000037980808,0.000024636527],"domain_scores_gemma":[0.9997862,0.000043138967,0.0000566113,0.00004108846,0.000054312855,0.000018618908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001248987,0.00036003836,0.00029345255,0.00052893773,0.0004149867,0.00065137004,0.00055717304,0.00047553465,0.003625952],"category_scores_gemma":[0.00061734125,0.00018735495,0.00032092488,0.0002725862,0.00078476575,0.0007893013,0.0009799275,0.0005709031,0.00048755287],"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":[0.00004199281,0.00003134522,0.004755322,0.000038043858,0.000011518117,0.00022150666,0.00013249516,0.93210816,0.015577743,0.032516655,0.00042220275,0.014142978],"study_design_scores_gemma":[0.0000034322097,0.00004196692,0.00182684,0.000005986959,0.0000046101372,0.00007273229,0.00007928539,0.9903666,0.0021447898,0.00406871,0.0013731096,0.000011999438],"about_ca_topic_score_codex":0.0055796504,"about_ca_topic_score_gemma":0.0031239616,"teacher_disagreement_score":0.0055796504,"about_ca_system_score_codex":0.0005672708,"about_ca_system_score_gemma":0.0005242245,"threshold_uncertainty_score":0.012130022},"labels":[],"label_agreement":null},{"id":"W2329707621","doi":"10.2514/6.2011-6208","title":"SUPPRESSION OF BENDING-TORSION FLUTTER IN ACCELERATED FLIGHT WITH AERO-SERVO-VISCOELASTIC CONTROLS","year":2011,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":9,"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":"Flutter; Viscoelasticity; Torsion (gastropod); Control theory (sociology); Structural engineering; Servomotor; Aeroelasticity; Materials science; Computer science; Physics; Aerodynamics; Mechanics; Engineering; Mechanical engineering; Composite material; Medicine","score_opus":0.01612436115444472,"score_gpt":0.1870316428171978,"score_spread":0.1709072816627531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329707621","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":[0.60635954,0.0019230638,0.37901625,0.00015620873,0.00011751412,0.00004147338,0.00004675173,0.00046973652,0.011869499],"genre_scores_gemma":[0.98605114,0.00019675192,0.011468419,0.000013033181,0.000030507072,0.000012044942,0.000015913432,0.000015964597,0.0021962232],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999436,0.000012127196,0.0000024390085,0.0000071083145,0.000027508726,0.0000072528287],"domain_scores_gemma":[0.9999292,0.00003098587,0.000013512591,0.0000073718147,0.000013113788,0.0000058980986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015452509,0.00026523307,0.00022574261,0.00013954742,0.00012492086,0.00015739244,0.00024717205,0.00018840523,0.00082417345],"category_scores_gemma":[0.0002721463,0.000082275765,0.00011774235,0.00008171234,0.00022832025,0.00018572198,0.00022640695,0.00014962681,0.00015005817],"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":[0.00070495275,0.00007999424,0.001783953,0.00026203674,0.000019012678,0.0005625532,0.00032418934,0.08511702,0.69735247,0.0076787006,0.0011621099,0.20495296],"study_design_scores_gemma":[0.00005760518,0.00070387253,0.005467512,0.00004802478,0.000021357111,0.00050087034,0.00005529279,0.91561645,0.068589605,0.0031934308,0.0057224003,0.000023600118],"about_ca_topic_score_codex":0.0002944205,"about_ca_topic_score_gemma":0.00039399322,"teacher_disagreement_score":0.00082417345,"about_ca_system_score_codex":0.000074902135,"about_ca_system_score_gemma":0.00008509555,"threshold_uncertainty_score":0.0027571917},"labels":[],"label_agreement":null},{"id":"W2329898411","doi":"10.2514/6.2016-1040","title":"Semi-Analytical and Empirical Approaches to Aircraft Configuration Effects on Post-Stall Aerodynamics - Invited","year":2016,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics 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":"Federal Aviation Administration","keywords":"Aerodynamics; Stall (fluid mechanics); Aerospace engineering; Aeronautics; Computer science; Engineering","score_opus":0.031413717350956466,"score_gpt":0.21583052459161625,"score_spread":0.18441680724065979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329898411","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":[0.03362273,0.0004184161,0.9530503,0.00010573013,0.000051201132,0.00013802767,0.00020685678,0.00029232528,0.012114415],"genre_scores_gemma":[0.7722545,0.0014432338,0.21416374,0.00004577437,0.000054821958,0.0004719735,0.0003342835,0.0002066861,0.0110249035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994678,0.00024977958,0.000026650472,0.000042046322,0.00018246088,0.00003124382],"domain_scores_gemma":[0.9963833,0.0023508219,0.0002655342,0.00043961644,0.0005255788,0.000035002064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013385186,0.00051116606,0.0003300347,0.0010450348,0.00029512335,0.00084710104,0.0008530616,0.0004935142,0.0053959973],"category_scores_gemma":[0.005979468,0.00036845123,0.00057768525,0.00078499387,0.00066727155,0.00088678626,0.0006540957,0.000644678,0.0013273705],"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":[0.00004905214,0.00023941619,0.004154498,0.0004331023,0.000052907675,0.00020997215,0.00039356246,0.78640294,0.007072922,0.06564692,0.002278545,0.13306619],"study_design_scores_gemma":[0.0000040433315,0.00004688032,0.0013717387,0.000049815822,0.000007208539,0.00006885935,0.0001199015,0.9846299,0.0012317718,0.008563631,0.0038938094,0.000012394843],"about_ca_topic_score_codex":0.002545966,"about_ca_topic_score_gemma":0.0019883902,"teacher_disagreement_score":0.0053959973,"about_ca_system_score_codex":0.00039093816,"about_ca_system_score_gemma":0.00072130974,"threshold_uncertainty_score":0.018051445},"labels":[],"label_agreement":null},{"id":"W2332806700","doi":"10.2514/6.2015-2558","title":"Aero structural modeling of a wing using CATIA V5 and XFLR5 software and experimental validation using the Price- Païdoussis wing tunnel","year":2015,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","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":"Université du Québec","funders":"","keywords":"Wing; Software; Computer science; Simulation; Structural engineering; Aerospace engineering; Engineering; Aeronautics; Operating system","score_opus":0.048026585439434055,"score_gpt":0.2579645333508146,"score_spread":0.20993794791138054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332806700","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":[0.6554974,0.0002708776,0.24743514,0.00033691878,0.00023559348,0.00052269566,0.009635917,0.018079527,0.067985944],"genre_scores_gemma":[0.9000607,0.00018672485,0.07623518,0.00006790742,0.00001477606,0.00042423565,0.007547939,0.0011091504,0.014353343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966383,0.00003272384,0.000019701522,0.000035875735,0.00020529123,0.000042571606],"domain_scores_gemma":[0.99962306,0.0001038504,0.000024646175,0.000083504405,0.00014129204,0.000023526023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070177304,0.00063000293,0.00047539052,0.00056458,0.00038985576,0.00057125825,0.0012611528,0.00077674846,0.01577292],"category_scores_gemma":[0.00060362276,0.00041039818,0.0007641347,0.00039827477,0.0003305688,0.00041044358,0.0005148621,0.0007198001,0.0017352748],"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":[0.0003547003,0.00042722604,0.0087398235,0.0008017508,0.000089819754,0.0006965244,0.0005091509,0.8035989,0.09517791,0.00776725,0.013563944,0.06827308],"study_design_scores_gemma":[0.00007444907,0.00023045251,0.004949502,0.0000358638,0.000018251578,0.00013137714,0.00007713599,0.9667377,0.015525972,0.00042187484,0.011762508,0.000034990615],"about_ca_topic_score_codex":0.0071359444,"about_ca_topic_score_gemma":0.007235044,"teacher_disagreement_score":0.01577292,"about_ca_system_score_codex":0.0004023205,"about_ca_system_score_gemma":0.0008064512,"threshold_uncertainty_score":0.052765608},"labels":[],"label_agreement":null},{"id":"W2335327437","doi":"10.2514/6.2014-0382","title":"Fully-coupled 6 DoF Model for Unmanned Version of the SA160 General Aviation Aircraft","year":2014,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Aerospace and Aviation Technology","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":"Université de Sherbrooke","funders":"","keywords":"Aeronautics; Aerospace engineering; Aviation; Computer science; General aviation; Remotely operated underwater vehicle; Systems engineering; Engineering; Artificial intelligence; Mobile robot; Robot","score_opus":0.0070447312405048585,"score_gpt":0.1880229075947296,"score_spread":0.18097817635422472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335327437","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":[0.16252728,0.00061088684,0.79027814,0.00024236276,0.00014870374,0.00021651293,0.0020285423,0.0014011533,0.042546522],"genre_scores_gemma":[0.94593334,0.0005288348,0.029636981,0.00008813871,0.000041304073,0.00034172987,0.0016828871,0.00007368466,0.021673135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998846,0.000020455565,0.000004903809,0.000031447307,0.000047100748,0.000011546983],"domain_scores_gemma":[0.9999263,0.000012944096,0.000020127136,0.000014677783,0.00002008294,0.0000058801543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011452367,0.0005769845,0.0004131784,0.00028756933,0.00025277265,0.0006382847,0.0006043625,0.0007025278,0.0030102888],"category_scores_gemma":[0.0001646729,0.0002408639,0.0006187305,0.00022010064,0.00026764532,0.00042773847,0.00048105806,0.0005549362,0.0008771289],"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":[0.00004004806,0.00002206938,0.0007317162,0.00006341738,0.000022743092,0.00010993431,0.00006523625,0.97977656,0.009072129,0.0033124392,0.0005231574,0.006260602],"study_design_scores_gemma":[0.00000694636,0.00006411434,0.0007373206,0.00000576831,0.000008075196,0.000028130586,0.000013225797,0.99514234,0.00058725453,0.0006055867,0.0027937267,0.0000074819377],"about_ca_topic_score_codex":0.0074965255,"about_ca_topic_score_gemma":0.0050544175,"teacher_disagreement_score":0.0074965255,"about_ca_system_score_codex":0.00024361927,"about_ca_system_score_gemma":0.00048311468,"threshold_uncertainty_score":0.01490581},"labels":[],"label_agreement":null},{"id":"W2570923155","doi":"10.2514/6.2017-0937","title":"Cessna Citation X Stall Characteristics Identification from Flight Data using Neural Networks","year":2017,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":14,"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":"","keywords":"Artificial neural network; Stall (fluid mechanics); Computer science; Identification (biology); Aerospace engineering; Artificial intelligence; Engineering","score_opus":0.04504115603311332,"score_gpt":0.2539877969525385,"score_spread":0.20894664091942516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570923155","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":[0.17164412,0.053172354,0.40830275,0.032562107,0.121389896,0.0007086426,0.02043356,0.009589239,0.18219736],"genre_scores_gemma":[0.5361065,0.021441804,0.05435508,0.0014829502,0.014905067,0.00025144577,0.018295055,0.0008556639,0.3523064],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966943,0.000033479617,0.000027811111,0.000087906315,0.00016798309,0.000013385404],"domain_scores_gemma":[0.9974849,0.00064180506,0.00017243704,0.00019104687,0.0014310299,0.000078702134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007054083,0.00046271866,0.0005677035,0.0019105322,0.0005305371,0.0021570865,0.00046519114,0.0010099496,0.028401842],"category_scores_gemma":[0.007545148,0.00021499902,0.00021468193,0.0024629764,0.00034179862,0.0013271581,0.00065320986,0.0007472823,0.008017207],"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":[0.00045855725,0.000118876575,0.0074752197,0.0012480795,0.00014403531,0.00029952452,0.00007719418,0.041902162,0.0053387256,0.008418754,0.21247607,0.7220428],"study_design_scores_gemma":[0.00010223858,0.0002942078,0.02083702,0.001067929,0.00016079647,0.00040897573,0.00018634596,0.5822219,0.020157373,0.02749164,0.3469458,0.00012562277],"about_ca_topic_score_codex":0.0028729308,"about_ca_topic_score_gemma":0.0031611414,"teacher_disagreement_score":0.028401842,"about_ca_system_score_codex":0.00032482552,"about_ca_system_score_gemma":0.00069100596,"threshold_uncertainty_score":0.09501368},"labels":[],"label_agreement":null},{"id":"W2620786698","doi":"10.2514/6.2017-3550","title":"Method to Calculate Cessna Citation X Aircraft Climb and Cruise Trajectory using an Aero-Propulsive Model","year":2017,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Air Traffic Management and Optimization","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":"Université du Québec","funders":"Korea Disease Control and Prevention Agency","keywords":"Climb; Cruise; Trajectory; Aerospace engineering; Aeronautics; Computer science; Marine engineering; Engineering; Physics","score_opus":0.041429711595600056,"score_gpt":0.2795425835963596,"score_spread":0.23811287200075953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620786698","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":[0.046258178,0.00016901981,0.9332187,0.00012627698,0.00015282883,0.00014426305,0.0004466954,0.0022303418,0.017253773],"genre_scores_gemma":[0.6511098,0.00029150423,0.3193451,0.000090164816,0.00005603872,0.0005250825,0.0009709415,0.0005743029,0.027037041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999387,0.000007835186,0.0000030976219,0.000011953149,0.000032204323,0.0000061389333],"domain_scores_gemma":[0.9999007,0.000016880014,0.000007826173,0.000009208839,0.00005750856,0.000007846583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012310887,0.00037367304,0.0003514277,0.00040900466,0.0005243881,0.0003648653,0.00075084326,0.0005337954,0.004988869],"category_scores_gemma":[0.00040649442,0.00025453177,0.00036091247,0.00029245546,0.000110755136,0.00032728337,0.0004143718,0.0005081611,0.0012175519],"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":[0.00008929928,0.00008382477,0.0034423084,0.00014619398,0.00006053712,0.00021006467,0.00008816116,0.88520753,0.010158282,0.010030581,0.0049447375,0.08553851],"study_design_scores_gemma":[0.000017189353,0.000016154725,0.00035808713,0.000005792553,0.0000064961487,0.000028726714,0.000011492456,0.99565375,0.0013041577,0.00042716804,0.0021644798,0.0000065250824],"about_ca_topic_score_codex":0.021044629,"about_ca_topic_score_gemma":0.013618889,"teacher_disagreement_score":0.021044629,"about_ca_system_score_codex":0.00032013372,"about_ca_system_score_gemma":0.00096611393,"threshold_uncertainty_score":0.04184431},"labels":[],"label_agreement":null},{"id":"W2621291201","doi":"10.2514/6.2017-3893","title":"Adaptive State Estimation for Flight Path Reconstruction and Aircraft System Identification","year":2017,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":13,"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":"Identification (biology); Path (computing); Computer science; State (computer science); Estimation; Adaptive system; Aerospace engineering; Control theory (sociology); Artificial intelligence; Engineering; Algorithm; Systems engineering; Control (management)","score_opus":0.01069712351549414,"score_gpt":0.20566179471240117,"score_spread":0.19496467119690702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621291201","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":[0.00574183,0.000112197806,0.993127,0.000041441122,0.000025861542,0.000011091366,0.000029565075,0.0003456038,0.0005654],"genre_scores_gemma":[0.51042855,0.00029715005,0.48124635,0.000102372076,0.00006669341,0.00011738774,0.00035082054,0.00013137679,0.007259316],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996879,0.000075776974,0.000015904026,0.00008534813,0.000103064835,0.00003201691],"domain_scores_gemma":[0.9994497,0.00030132302,0.000044851608,0.0000901695,0.00010346902,0.000010631644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003778039,0.0004378264,0.0005219869,0.00038927287,0.0003845255,0.00042385785,0.00065447576,0.0006794617,0.0022739377],"category_scores_gemma":[0.0021691704,0.00037916854,0.00045108484,0.0004500727,0.00032722097,0.00081337744,0.00071026816,0.0009692901,0.00078803266],"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":[0.00025893605,0.00012354544,0.0013009505,0.00011860193,0.00009736038,0.00008233347,0.00009527587,0.29486567,0.04062773,0.012450857,0.0031888874,0.64678985],"study_design_scores_gemma":[0.0000053418644,0.000021546963,0.0005334145,0.0000042190863,0.000006099426,0.000020806838,0.000005839745,0.991185,0.005480539,0.0018628661,0.00086702063,0.000007418164],"about_ca_topic_score_codex":0.005653032,"about_ca_topic_score_gemma":0.006623875,"teacher_disagreement_score":0.005653032,"about_ca_system_score_codex":0.00030194942,"about_ca_system_score_gemma":0.0005609767,"threshold_uncertainty_score":0.011240244},"labels":[],"label_agreement":null}]}