{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"e56eb32fea47","filters":{"venue":"2013 Aviation Technology, Integration, and Operations Conference"}},"results":[{"id":"W2318401727","doi":"10.2514/6.2013-4290","title":"New method for aircraft fuel saving using Flight Management System and its validation on the L-1011 aircraft","year":2013,"lang":"en","type":"article","venue":"2013 Aviation Technology, Integration, and Operations Conference","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université du Québec","funders":"","keywords":"Aeronautics; Aircraft fuel system; Computer science; Aerospace engineering; Automotive engineering; Flight management system; Environmental science; Flight simulator; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02390837407008349,"gpt":0.2696328930782294,"spread":0.2457245190081459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003080054,0.0002353782,0.0001835791,0.000203396,0.0006633264,0.000219806,0.0002647256,0.0002147141,0.0002254986],"category_scores_gemma":[0.000136196,0.0001705976,0.00003072983,0.0003885092,0.0001382285,0.0006857356,0.0001205925,0.0001876788,0.0001002294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001378539,"about_ca_system_score_gemma":0.00002348942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002639554,"about_ca_topic_score_gemma":0.0002895253,"domain_scores_codex":[0.9986956,0.00007284434,0.0003505829,0.0004763002,0.0001694906,0.0002351947],"domain_scores_gemma":[0.9992654,0.0001055936,0.000113471,0.0003305599,0.0001286915,0.00005633676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007011773,0.00004389773,0.001052793,0.00004253566,0.00003851967,6.011501e-7,0.0005312494,0.001640088,0.05074299,0.8380041,0.002418075,0.1054782],"study_design_scores_gemma":[0.001234956,0.0004109161,0.008500558,0.0003254781,0.000163924,0.00005040502,0.01019745,0.7514609,0.09950965,0.1204291,0.006680304,0.001036448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04021695,0.0001120049,0.9482154,0.008774391,0.0000991712,0.001693772,0.000009952942,0.0003522534,0.0005261198],"genre_scores_gemma":[0.7626584,0.0001771576,0.2353093,0.0001427095,0.00002133599,0.0004798174,0.00001887228,0.00001504492,0.00117737],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7498208,"threshold_uncertainty_score":0.6956768,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030069513","doi":"10.2514/6.2013-4372","title":"Aerostructural design optimization of a 100-passenger regional jet with surrogate-based mission analysis","year":2013,"lang":"en","type":"article","venue":"2013 Aviation Technology, Integration, and Operations Conference","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"University of Toronto; Government of Ontario; Compute Canada","keywords":"Surrogate model; Aerospace engineering; Computer science; Jet (fluid); Systems engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01845747226654419,"gpt":0.233871455756083,"spread":0.2154139834895388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001346362,0.0002087338,0.0002423782,0.0003919787,0.0002705716,0.00008325503,0.0002114008,0.0002265383,0.001257462],"category_scores_gemma":[0.0001118468,0.0001501083,0.00003856864,0.001296694,0.0005819021,0.0006727783,0.00004057838,0.0001654733,0.00002816048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006522323,"about_ca_system_score_gemma":0.00005398304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005212488,"about_ca_topic_score_gemma":0.0006594178,"domain_scores_codex":[0.9988048,0.00007587775,0.0003457433,0.0003797724,0.0002155803,0.0001782383],"domain_scores_gemma":[0.9991095,0.00006076067,0.0001584643,0.0003294369,0.0002901576,0.00005166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004856793,0.000195828,0.1078151,0.00001268707,0.0001504626,0.000001267247,0.0004471841,0.7693038,0.07874445,0.02102093,0.001440794,0.0208189],"study_design_scores_gemma":[0.0005694404,0.0003143031,0.02578182,0.00003572712,0.0001307169,0.00000638995,0.0008154913,0.9156055,0.0518167,0.004477105,0.00009536681,0.0003514253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1335413,0.00003230633,0.8621052,0.003511199,0.00001705607,0.000511383,0.000006921561,0.0001895316,0.00008511207],"genre_scores_gemma":[0.7778779,0.00006258724,0.2216153,0.00005825297,0.000003783861,0.0001037034,0.00008628244,0.000008136074,0.0001841099],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6443366,"threshold_uncertainty_score":0.9996555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586441856","doi":"10.2514/6.2013-4387","title":"Fuel burn and emissions evaluation for a missed approach procedure performed by a B737-400","year":2013,"lang":"en","type":"article","venue":"2013 Aviation Technology, Integration, and Operations Conference","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec","funders":"","keywords":"Burn-in; Computer science; Environmental science; Waste management; Reliability engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01378278664937222,"gpt":0.2250414132502613,"spread":0.2112586266008891,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002177518,0.0002044704,0.0001638866,0.0002634571,0.0003317175,0.000250458,0.0001119975,0.0002510324,0.0001565189],"category_scores_gemma":[0.0001639012,0.0001818964,0.00002113551,0.000299752,0.00009540124,0.0006598984,0.0000184701,0.0001511462,0.00001014056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004699779,"about_ca_system_score_gemma":0.00005837613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002675391,"about_ca_topic_score_gemma":0.0001041179,"domain_scores_codex":[0.9990339,0.00002589043,0.0003189913,0.0002995232,0.0001383848,0.0001833704],"domain_scores_gemma":[0.9990385,0.00002623552,0.00004889212,0.0001774705,0.0006438297,0.00006509581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003526805,0.00059523,0.003775886,0.001087602,0.0003162155,1.959293e-7,0.01166929,0.05738808,0.05665294,0.2441971,0.2460677,0.3782145],"study_design_scores_gemma":[0.0005836685,0.00005738013,0.0005747356,0.00003251501,0.00005105408,0.000002556403,0.001825035,0.9916576,0.001011968,0.002427449,0.001552509,0.0002235601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0614434,0.0007415732,0.9283761,0.004387102,0.00009434468,0.002743755,0.00002771157,0.0005313582,0.001654596],"genre_scores_gemma":[0.9693152,0.000778632,0.02583197,0.00007312593,0.00002996584,0.00205745,0.0007668737,0.00002119531,0.001125584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9342695,"threshold_uncertainty_score":0.741752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2321589316","doi":"10.2514/6.2013-4392","title":"Coupled Optimization of Aircraft Design and Fleet Allocation with Uncertain Passenger Demand","year":2013,"lang":"en","type":"article","venue":"2013 Aviation Technology, Integration, and Operations Conference","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Automotive engineering; Operations research; Mathematical optimization; Aerospace engineering; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.009045329940876154,"gpt":0.199048097745172,"spread":0.1900027678042958,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000164494,0.0001804777,0.0001746564,0.0003248604,0.0001618133,0.0001296395,0.00008902071,0.0001713603,0.0001438872],"category_scores_gemma":[0.00004502924,0.0001547664,0.00001087471,0.0003859693,0.0001504352,0.0007127106,0.00001568884,0.0001105137,0.000007161887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000278819,"about_ca_system_score_gemma":0.00003590974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007020385,"about_ca_topic_score_gemma":0.0001999024,"domain_scores_codex":[0.9991634,0.00004295856,0.000326724,0.0002189351,0.0001155728,0.0001323609],"domain_scores_gemma":[0.9991082,0.00003841984,0.00006519312,0.0001804559,0.0005669616,0.0000407777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004374976,0.00002463741,0.0005917709,0.00003044674,0.00003385454,1.220002e-7,0.0003846438,0.9698463,0.001909738,0.02118202,0.0005218725,0.005470244],"study_design_scores_gemma":[0.0003643078,0.00009713062,0.001051172,0.00004782654,0.00003507819,0.000002811275,0.0006141919,0.995001,0.00201564,0.000550121,0.0000414651,0.000179308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03111663,0.0001687778,0.965866,0.001504408,0.00004331707,0.0008420803,0.000002878905,0.0002886691,0.0001672481],"genre_scores_gemma":[0.8410892,0.001042441,0.1572597,0.00002458319,0.00001191006,0.0002424732,0.0001274449,0.00001619636,0.0001860715],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8099726,"threshold_uncertainty_score":0.6311191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125491879","doi":"10.2514/6.2013-4288","title":"A Usage-Based Analysis Method for Predicting Fleet Fuel Savings Due to Aircraft Improvements","year":2013,"lang":"en","type":"article","venue":"2013 Aviation Technology, Integration, and Operations Conference","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Automotive engineering; Aeronautics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01265089016153602,"gpt":0.2671909766667889,"spread":0.2545400865052528,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003352097,0.0002426912,0.0002871169,0.0005187476,0.0006640983,0.0001694221,0.0003402621,0.0002548127,0.0005769308],"category_scores_gemma":[0.0005058969,0.000212931,0.00006732651,0.001310611,0.0002012231,0.0006840348,0.0001525357,0.0001884464,0.00009810923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232164,"about_ca_system_score_gemma":0.00003841446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118825,"about_ca_topic_score_gemma":0.004194845,"domain_scores_codex":[0.9984182,0.00005127631,0.000437649,0.0006010768,0.0001832297,0.0003086415],"domain_scores_gemma":[0.9990203,0.0001000406,0.0001152312,0.0004226529,0.0002528552,0.0000889345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003024699,0.0004012881,0.1170183,0.00004580724,0.0003316042,0.000001785954,0.002836398,0.02066056,0.3054419,0.05461722,0.004050172,0.4945647],"study_design_scores_gemma":[0.0008109706,0.0004826454,0.03802748,0.00003819838,0.00023345,0.000004562794,0.001722169,0.8713045,0.04757299,0.03629732,0.002844606,0.0006611351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07769132,0.00002232297,0.9123433,0.00787908,0.00005428901,0.001353525,0.00003835676,0.0004155403,0.0002022513],"genre_scores_gemma":[0.6517487,0.00001400056,0.3459234,0.000393583,0.00001000802,0.001265636,0.00006513194,0.00001071738,0.0005688256],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8506439,"threshold_uncertainty_score":0.8683074,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}