{"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00488366,0.0001341405,0.99177986,0.00044495077,0.000107055486,0.00094752945,0.000077278506,0.00045180216,0.0011737301],"genre_scores_gemma":[0.6801452,0.00011424546,0.31873128,0.000028774082,0.000031684427,0.00024033997,0.00044179696,0.000023709852,0.00024295243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989296,0.000031768846,0.0004411645,0.0002591331,0.00015977403,0.00017853211],"domain_scores_gemma":[0.99875146,0.00003088235,0.000089948175,0.00020918257,0.0008434575,0.00007507296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022924133,0.00021449504,0.0002586585,0.00039324444,0.00014635488,0.00008709858,0.0001328866,0.00018705564,0.000056313238],"category_scores_gemma":[0.00010139494,0.00019203973,0.000028696082,0.00042484028,0.00027616334,0.00041912284,0.000015169317,0.00011392245,0.0000043807086],"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":[0.000059430135,0.00017447222,0.0003104118,0.00008583171,0.00022094016,0.000002073342,0.003021174,0.7768563,0.0027768235,0.15223992,0.001543414,0.062709235],"study_design_scores_gemma":[0.0012064229,0.00024391022,0.000035586723,0.000070344344,0.00006926917,0.000006775243,0.0015195711,0.9917872,0.0041064094,0.000511794,0.00020797421,0.00023474456],"about_ca_topic_score_codex":0.0000108617,"about_ca_topic_score_gemma":0.00013336047,"teacher_disagreement_score":0.67526156,"about_ca_system_score_codex":0.00007185882,"about_ca_system_score_gemma":0.0001783069,"threshold_uncertainty_score":0.78311527},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030177308,0.00043774437,0.9634417,0.003543162,0.00025876093,0.0007286072,0.000059569174,0.00027472668,0.0010783739],"genre_scores_gemma":[0.8855615,0.00028040234,0.11244905,0.00018016736,0.00005300531,0.00022977355,0.00008881747,0.000016550382,0.0011406839],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844456,0.00014929486,0.00036308315,0.00042852937,0.0003208458,0.00029368442],"domain_scores_gemma":[0.99836147,0.000021839738,0.00007785253,0.00023880899,0.001073012,0.00022701985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035806836,0.0002031269,0.00020511125,0.000516812,0.0010328247,0.00024752665,0.0002526572,0.00032159968,0.000046517936],"category_scores_gemma":[0.00030888076,0.00020179835,0.000048439546,0.0016647022,0.00040841883,0.00049884623,0.000027316306,0.00019612059,0.000009296846],"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":[0.00008371251,0.00074999494,0.007833525,0.000023484146,0.00015823917,0.0000037324378,0.09749638,0.27921084,0.018540133,0.47751653,0.00884738,0.10953603],"study_design_scores_gemma":[0.00070060644,0.00023103679,0.00021836838,0.00005827191,0.00009717021,0.0000052784626,0.015596553,0.9598814,0.0017613245,0.008574312,0.012168952,0.0007067079],"about_ca_topic_score_codex":0.0013773598,"about_ca_topic_score_gemma":0.004065042,"teacher_disagreement_score":0.85538423,"about_ca_system_score_codex":0.00020291499,"about_ca_system_score_gemma":0.00049209414,"threshold_uncertainty_score":0.8229098},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05735459,0.00017409709,0.9406532,0.00023978204,0.0002587029,0.00038900343,0.000021198077,0.0001688234,0.0007406146],"genre_scores_gemma":[0.958582,0.00010523946,0.040997308,0.000012445676,0.000022925971,0.000025314404,0.00006741818,0.000013446903,0.00017390121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991139,0.00004311332,0.00042120396,0.00015827059,0.00015455914,0.000108921835],"domain_scores_gemma":[0.9990944,0.00001829932,0.0001086491,0.00025789664,0.00048609643,0.000034638902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016722479,0.00014433553,0.000182393,0.00028077417,0.00012007442,0.00003680422,0.0001790996,0.00015931632,0.000028893766],"category_scores_gemma":[0.00014492801,0.000118754986,0.000028012337,0.00052670046,0.00018283325,0.00027165617,0.000027680386,0.000118027856,0.000001271369],"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":[0.000005308203,0.00003572202,0.0007511782,0.000038755352,0.000027316304,2.3776472e-7,0.00089451385,0.96985,0.0016641536,0.022237908,0.00018840411,0.0043065012],"study_design_scores_gemma":[0.00032117433,0.000051380874,0.00040883225,0.000066984336,0.000054003725,0.0000039608512,0.0007918462,0.98824465,0.009506575,0.00035976653,0.00006573166,0.00012510366],"about_ca_topic_score_codex":0.000030971954,"about_ca_topic_score_gemma":0.00015208012,"teacher_disagreement_score":0.9012274,"about_ca_system_score_codex":0.00004702723,"about_ca_system_score_gemma":0.00009990818,"threshold_uncertainty_score":0.48426878},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2747507,0.000047534995,0.722473,0.0007845869,0.00017942383,0.00030792004,0.000010345055,0.000673842,0.0007726251],"genre_scores_gemma":[0.98552936,0.000071449926,0.013873334,0.00006612231,0.000039802075,0.00006109349,0.00015581134,0.00001810733,0.00018490134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999102,0.00003942999,0.0002873353,0.00024976628,0.00014117264,0.0001802987],"domain_scores_gemma":[0.99919987,0.000026962924,0.000024233648,0.00021636869,0.00042587565,0.00010666315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023276215,0.0001954751,0.00016428296,0.00043386404,0.00019892797,0.00016104849,0.00010367874,0.00016903506,0.000027526821],"category_scores_gemma":[0.00033682588,0.00018785495,0.000021693493,0.0005090403,0.000045638048,0.0005758573,0.000029505822,0.00018106727,0.00002808756],"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":[0.0000048956463,0.000031812076,0.0013211293,0.000013160266,0.0000271915,8.886413e-7,0.0029335034,0.92249423,0.0017684075,0.05539997,0.0010432758,0.014961522],"study_design_scores_gemma":[0.00020909189,0.000042390307,0.00045167148,0.000022549631,0.000018678906,0.0000018267377,0.0028979827,0.9927225,0.0024187765,0.0006174538,0.00036899853,0.00022805204],"about_ca_topic_score_codex":0.00006827349,"about_ca_topic_score_gemma":0.0014380459,"teacher_disagreement_score":0.71077865,"about_ca_system_score_codex":0.00008543864,"about_ca_system_score_gemma":0.000064701635,"threshold_uncertainty_score":0.7660502},"labels":[],"label_agreement":null},{"id":"W2329841780","doi":"10.2514/6.2015-2280","title":"Branch &amp; 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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026000603,0.0002581306,0.9925771,0.0008464664,0.00029919366,0.0010520181,0.000080712656,0.001075354,0.0012109719],"genre_scores_gemma":[0.5080679,0.00019044151,0.48719633,0.00010964304,0.00008283208,0.000793553,0.0023834947,0.00004219142,0.0011335876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986879,0.00004370654,0.00045094395,0.00037430896,0.0001881244,0.0002549769],"domain_scores_gemma":[0.9985884,0.000035420737,0.00006951081,0.0003052696,0.00090677006,0.00009465255],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002928476,0.00027288735,0.00023161073,0.0004880538,0.00033060176,0.0002438587,0.0002010972,0.00031686592,0.00011511827],"category_scores_gemma":[0.00014492194,0.00027603793,0.0000353579,0.0005850631,0.00013849304,0.0006192125,0.000018986051,0.0002107595,0.000025809528],"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":[0.000017801218,0.00012195359,0.00029754898,0.00007425661,0.00005788501,3.6128347e-7,0.00081112684,0.7480299,0.00062257866,0.0447914,0.006416584,0.19875859],"study_design_scores_gemma":[0.00087529025,0.000104837316,0.00009324436,0.000044187378,0.000042235173,0.0000017672397,0.0003847975,0.99181366,0.0018136672,0.0008701544,0.0036353983,0.00032073882],"about_ca_topic_score_codex":0.000025771053,"about_ca_topic_score_gemma":0.00059461273,"teacher_disagreement_score":0.5054679,"about_ca_system_score_codex":0.00012721494,"about_ca_system_score_gemma":0.00019759449,"threshold_uncertainty_score":0.9999692},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002989531,0.00023969068,0.99237275,0.0008692249,0.00042688265,0.002230357,0.000047460602,0.00039242196,0.000431654],"genre_scores_gemma":[0.6969393,0.0000686691,0.3012871,0.000009817653,0.000047111218,0.0008145742,0.000731138,0.000018734901,0.000083528226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862504,0.000061715175,0.0006918825,0.00027679207,0.0001738322,0.00017071622],"domain_scores_gemma":[0.99861556,0.00015657554,0.000100819205,0.0002810216,0.00079961086,0.00004640448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073113287,0.00019289626,0.00022976582,0.00028653172,0.00029161831,0.00012090716,0.00019808514,0.00019187995,0.0000047837834],"category_scores_gemma":[0.00019408541,0.00015976386,0.00004697326,0.00045543612,0.000115432726,0.00038604822,0.000023408738,0.000109873596,0.0000014622991],"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":[0.00006517966,0.000039575873,0.00009943899,0.00015946907,0.00008877499,6.31962e-8,0.0009723197,0.74425864,0.0002241875,0.22009674,0.0010902487,0.03290539],"study_design_scores_gemma":[0.0012368432,0.00013407702,0.00026331845,0.000077624725,0.00017290423,0.0000010256083,0.0044886107,0.9864144,0.005607816,0.0008586705,0.00057919667,0.00016556594],"about_ca_topic_score_codex":0.000017739441,"about_ca_topic_score_gemma":0.00018180735,"teacher_disagreement_score":0.69394976,"about_ca_system_score_codex":0.00010986873,"about_ca_system_score_gemma":0.000042541473,"threshold_uncertainty_score":0.65149814},"labels":[],"label_agreement":null}]}