{"meta":{"query_hash":"33e3c61333c3","filters":{"venue":"15th AIAA Aviation Technology, Integration, and Operations Conference"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"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/33e3c61333c3","api":"https://metacan.xera.ac/api/v1/cohort?venue=15th+AIAA+Aviation+Technology%2C+Integration%2C+and+Operations+Conference"},"results":[{"id":"W2317740749","doi":"10.2514/6.2015-2282","title":"Trajectory optimization algorithm for a constant altitude cruise flight with a required time of arrival constraint","year":2015,"lang":"en","type":"article","venue":"15th AIAA Aviation Technology, Integration, and Operations Conference","topic":"Air Traffic Management and Optimization","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":"Université du Québec","funders":"","keywords":"Cruise; Trajectory; Constraint (computer-aided design); Constant (computer programming); Altitude (triangle); Computer science; Trajectory optimization; Time constraint; Time of arrival; Algorithm; Arrival time; Air traffic control; Control theory (sociology); Aerospace engineering; Mathematical optimization; Mathematics; Engineering; Physics; Artificial intelligence; Telecommunications; Control (management); Transport engineering","score_opus":0.01368273085477559,"score_gpt":0.21786675301257213,"score_spread":0.20418402215779655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317740749","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":[0.0143995825,0.00017052064,0.98052055,0.0001952264,0.000028157288,0.000089210924,0.00009769174,0.00023386518,0.004265161],"genre_scores_gemma":[0.43291944,0.00035788355,0.5543906,0.00015290639,0.000051737305,0.0006771427,0.0006135728,0.00018720658,0.010649477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999788,0.00005347295,0.000011803314,0.000057255183,0.000048875856,0.00004061015],"domain_scores_gemma":[0.99955577,0.00024869552,0.000051151623,0.000019172348,0.00010341933,0.000021805365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005226361,0.0006456785,0.00072138774,0.00037257964,0.00046928794,0.00085102866,0.00070585276,0.0011268745,0.005033663],"category_scores_gemma":[0.0013623826,0.0003033014,0.00049826107,0.0005463913,0.00039231285,0.0005360625,0.0008086968,0.0010053804,0.000815589],"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":[0.000053901244,0.000019428075,0.0003074311,0.00004166206,0.000018148809,0.00003514563,0.000042383654,0.97014767,0.0006986141,0.0046512755,0.0007770586,0.023207277],"study_design_scores_gemma":[0.000014476121,0.00002117857,0.000077206896,0.0000048911106,0.0000036032643,0.000008705521,0.000009334149,0.99831545,0.00014879025,0.00097652193,0.00041735327,0.0000024823776],"about_ca_topic_score_codex":0.01207268,"about_ca_topic_score_gemma":0.0071885115,"teacher_disagreement_score":0.01207268,"about_ca_system_score_codex":0.00081433175,"about_ca_system_score_gemma":0.0019080725,"threshold_uncertainty_score":0.024004817},"labels":[],"label_agreement":null},{"id":"W2319999305","doi":"10.2514/6.2015-2281","title":"Aircraft Trajectories Optimization By Genetic Algorithms To Reduce Flight Cost Using A Dynamic Weather Model","year":2015,"lang":"en","type":"article","venue":"15th AIAA Aviation Technology, Integration, and Operations Conference","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Genetic algorithm; Computer science; Algorithm; Real-time computing; Machine learning","score_opus":0.027736640392888146,"score_gpt":0.30134121152216337,"score_spread":0.2736045711292752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319999305","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":[0.13236304,0.00037511653,0.85847974,0.00033130636,0.00011717005,0.00006219193,0.00012169382,0.00046425784,0.0076855184],"genre_scores_gemma":[0.89033496,0.00019074876,0.10542118,0.000072784074,0.000040924453,0.00010341409,0.00019578429,0.00011038261,0.0035297868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998776,0.000038202565,0.0000050823164,0.000027114798,0.000027811278,0.000024182176],"domain_scores_gemma":[0.9997173,0.00016367402,0.00002630827,0.000016350232,0.000060815437,0.000015555786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003146671,0.0006714365,0.00081902195,0.0006708698,0.00046966228,0.0006645971,0.0007239132,0.0009956933,0.0015338119],"category_scores_gemma":[0.0011005905,0.00060254964,0.00070316554,0.00070787064,0.0003719607,0.00066652,0.00043725772,0.00067236274,0.00020297088],"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":[0.0000070875253,0.0000071490563,0.000059132402,0.0000026022476,0.000005675879,0.000005676215,0.0000028886532,0.9970591,0.00012045214,0.00035825878,0.00008008614,0.0022919718],"study_design_scores_gemma":[0.0000021660442,0.000002648227,0.000022148753,5.1725044e-7,0.0000017931623,7.540734e-7,7.6045535e-7,0.99977154,0.000032461012,0.00013284222,0.00003171746,6.4354316e-7],"about_ca_topic_score_codex":0.036072988,"about_ca_topic_score_gemma":0.020181915,"teacher_disagreement_score":0.036072988,"about_ca_system_score_codex":0.0008988862,"about_ca_system_score_gemma":0.0011490033,"threshold_uncertainty_score":0.071726084},"labels":[],"label_agreement":null},{"id":"W2323430069","doi":"10.2514/6.2015-3179","title":"Optimization of the Cruise Regime of Flight Airplane Trajectory using Deterministic Algorithms","year":2015,"lang":"en","type":"article","venue":"15th AIAA Aviation Technology, Integration, and Operations Conference","topic":"Air Traffic Management and Optimization","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":"Université du Québec","funders":"","keywords":"Airplane; Cruise; Trajectory; Computer science; Trajectory optimization; Algorithm; Aerospace engineering; Engineering; Physics","score_opus":0.02400418948873148,"score_gpt":0.23264805055923576,"score_spread":0.20864386107050428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323430069","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":[0.14111388,0.0008224659,0.8415553,0.0008121312,0.00009687228,0.00011741742,0.0002524308,0.000398705,0.014830814],"genre_scores_gemma":[0.93765444,0.0003422011,0.057245415,0.0000923961,0.000067675064,0.00017822457,0.0002296917,0.000117774536,0.004072264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997042,0.00011709199,0.00001080327,0.000055938366,0.000055555793,0.0000563829],"domain_scores_gemma":[0.99821645,0.0012429266,0.00019430036,0.00008948088,0.0001629238,0.000093911556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010183477,0.0007344147,0.0010926074,0.0008780274,0.0006090878,0.0011329768,0.00075214775,0.0013071302,0.0018443887],"category_scores_gemma":[0.0046881908,0.0010257717,0.0008793142,0.0005977192,0.0009009591,0.0009050735,0.0010632647,0.00099683,0.0002549126],"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":[0.000017956485,0.0000049094087,0.00009261742,0.000008388359,0.000006500934,0.000005234468,0.0000053651147,0.9974025,0.00009976411,0.0012510162,0.00008712018,0.0010185352],"study_design_scores_gemma":[0.0000037179495,0.0000037821537,0.000041608713,0.0000020974946,0.0000012887976,8.9921105e-7,0.0000012613727,0.99937576,0.00003181446,0.00048607003,0.000050559698,0.0000012356857],"about_ca_topic_score_codex":0.016167171,"about_ca_topic_score_gemma":0.00809674,"teacher_disagreement_score":0.016167171,"about_ca_system_score_codex":0.0014137648,"about_ca_system_score_gemma":0.0014986506,"threshold_uncertainty_score":0.032146096},"labels":[],"label_agreement":null},{"id":"W2326769983","doi":"10.2514/6.2015-2599","title":"Trajectory Accuracy Sensitivity to Modeling Factors","year":2015,"lang":"en","type":"article","venue":"15th AIAA Aviation Technology, Integration, and Operations Conference","topic":"Air Traffic Management and Optimization","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":"","keywords":"Sensitivity (control systems); Trajectory; Computer science; Engineering; Physics; Electronic engineering","score_opus":0.0313142224653409,"score_gpt":0.24364221819068235,"score_spread":0.21232799572534145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326769983","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":[0.8959742,0.0009274278,0.09426045,0.00051219016,0.00007809669,0.00016371743,0.0015774709,0.000767278,0.005739122],"genre_scores_gemma":[0.9960145,0.00014758638,0.0029286828,0.000030013456,0.000010183226,0.000026532469,0.0005879167,0.00007473168,0.00017984476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99546635,0.0014021458,0.00027100433,0.000839581,0.0014701883,0.00055070024],"domain_scores_gemma":[0.9370622,0.049893558,0.004139161,0.00528681,0.0033224728,0.00029578668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062414277,0.0010546824,0.00083007675,0.00170963,0.0006951433,0.0016231562,0.0008502708,0.0011291847,0.0011125946],"category_scores_gemma":[0.049571846,0.0006882289,0.0012020956,0.0016644931,0.0011592484,0.002162892,0.0011955001,0.0016627184,0.0001914826],"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":[0.00009319303,0.000023737617,0.013014905,0.000040370578,0.000058635193,0.00008302177,0.000031197033,0.980684,0.0013173205,0.0007716905,0.00012590631,0.0037560342],"study_design_scores_gemma":[0.000009362978,0.00018882655,0.025428616,0.000035375564,0.000077489014,0.00021962058,0.00006851195,0.96199304,0.00976742,0.0015813097,0.0005606176,0.000069766225],"about_ca_topic_score_codex":0.0144593185,"about_ca_topic_score_gemma":0.005034045,"teacher_disagreement_score":0.0144593185,"about_ca_system_score_codex":0.0017670769,"about_ca_system_score_gemma":0.0009809415,"threshold_uncertainty_score":0.033008218},"labels":[],"label_agreement":null},{"id":"W2329841780","doi":"10.2514/6.2015-2280","title":"Branch & Bound-Based Algorithm for Aircraft VNAV Profile Reference Trajectory Optimization","year":2015,"lang":"en","type":"article","venue":"15th AIAA Aviation Technology, Integration, and Operations Conference","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Trajectory; Computer science; Trajectory optimization; Branch and bound; Optimization algorithm; Algorithm; Mathematical optimization; Mathematics; Physics","score_opus":0.02595625895048681,"score_gpt":0.24775471826744225,"score_spread":0.22179845931695544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329841780","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":[0.008399867,0.0002941307,0.9874412,0.00009491401,0.000022845565,0.000062204344,0.000087796434,0.0007558301,0.0028413224],"genre_scores_gemma":[0.19830929,0.0002659363,0.7957916,0.0000788463,0.000026589918,0.00044305623,0.00047074415,0.00025079135,0.0043632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958473,0.00014550306,0.0000183651,0.00005668281,0.00012773875,0.00006703326],"domain_scores_gemma":[0.9991373,0.00059120153,0.0000619605,0.000039548737,0.00013731795,0.000032684842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089396635,0.0010480034,0.0012288041,0.0012197968,0.0007073204,0.0010726302,0.0012322506,0.0011894262,0.00583376],"category_scores_gemma":[0.0023539225,0.00046880866,0.0005200387,0.0015933258,0.00050852913,0.0009913845,0.00075748924,0.0013486088,0.001132829],"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":[0.000086745815,0.000049453196,0.0003863874,0.00006137364,0.000024154257,0.000023872306,0.00003877571,0.91549975,0.0007728917,0.0077239317,0.0016846309,0.07364804],"study_design_scores_gemma":[0.000008177982,0.0000148915715,0.000041775318,0.0000045650695,0.000002396123,0.000004652232,0.000004336729,0.9977181,0.00017472229,0.0016508931,0.00037331608,0.000002251836],"about_ca_topic_score_codex":0.018643634,"about_ca_topic_score_gemma":0.014548761,"teacher_disagreement_score":0.018643634,"about_ca_system_score_codex":0.001198149,"about_ca_system_score_gemma":0.0020688067,"threshold_uncertainty_score":0.037070274},"labels":[],"label_agreement":null},{"id":"W2330582543","doi":"10.2514/6.2015-2597","title":"Presentation of three methods results comparison for Vertical Navigation VNAV trajectory optimization for the Flight Management System FMS","year":2015,"lang":"en","type":"article","venue":"15th AIAA Aviation Technology, Integration, and Operations Conference","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Presentation (obstetrics); Trajectory; Computer science; Flight management system; Aeronautics; Simulation; Flight simulator; Engineering; Physics; Medicine","score_opus":0.04118250582881529,"score_gpt":0.3085746541421577,"score_spread":0.2673921483133424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330582543","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":[0.3399837,0.003014958,0.5999656,0.00041670134,0.0005288189,0.0004406455,0.0016220238,0.0021386605,0.051888898],"genre_scores_gemma":[0.8160957,0.00083655777,0.16916919,0.00009651354,0.00006614643,0.00042635706,0.0018418282,0.00041104504,0.011056535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994667,0.00013740292,0.00004317345,0.00006592288,0.00022700215,0.000059828923],"domain_scores_gemma":[0.99897337,0.00045627216,0.000040032177,0.00007231043,0.00043365365,0.000024495812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008824743,0.0009437986,0.00057707273,0.00094589835,0.0006528654,0.001008665,0.00051037123,0.00072992715,0.008773783],"category_scores_gemma":[0.0018999017,0.00021044338,0.0008399716,0.0006016309,0.00015203796,0.0005507938,0.0004854961,0.00049325696,0.0006090045],"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":[0.0015573973,0.0004733458,0.0059587806,0.0011643406,0.00042247731,0.00020315651,0.00026586172,0.6129671,0.012813801,0.006077417,0.006981475,0.35111484],"study_design_scores_gemma":[0.000090660236,0.00039743702,0.005280858,0.0000588408,0.00011070097,0.00007248718,0.00024241423,0.9758424,0.012786533,0.0012020471,0.003871665,0.000043919852],"about_ca_topic_score_codex":0.01313435,"about_ca_topic_score_gemma":0.010024694,"teacher_disagreement_score":0.01313435,"about_ca_system_score_codex":0.00044460176,"about_ca_system_score_gemma":0.0005979808,"threshold_uncertainty_score":0.029351175},"labels":[],"label_agreement":null}]}