{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"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":"7c9de254360f","filters":{"venue":"2018 Fluid Dynamics Conference"}},"results":[{"id":"W2810786423","doi":"10.2514/6.2018-3538","title":"Spanwise Aspects of Unsteadiness in a Pressure-Induced Turbulent Separation Bubble","year":2018,"lang":"en","type":"article","venue":"2018 Fluid Dynamics Conference","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec","funders":"","keywords":"Separation (statistics); Bubble; Turbulence; Mechanics; Flow separation; Computer science; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01390004111943447,"gpt":0.2378863048536905,"spread":0.2239862637342561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001951139,0.000290279,0.0003785362,0.0002383021,0.00004606044,0.00005344783,0.0003547299,0.000191215,0.0001432521],"category_scores_gemma":[0.00002911263,0.0003043425,0.0000657126,0.0003725208,0.00009973474,0.000226273,0.00006399898,0.0001932128,0.00008479238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344545,"about_ca_system_score_gemma":0.0001008712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002171031,"about_ca_topic_score_gemma":0.002167269,"domain_scores_codex":[0.9984483,0.00003494409,0.0004979289,0.0003366545,0.00027318,0.0004090069],"domain_scores_gemma":[0.9990359,0.00003520281,0.00007229004,0.0005232227,0.0002284245,0.0001049898],"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":[0.0002312172,0.0005834558,0.005325221,0.0009721209,0.0003668687,0.00007049104,0.003314145,0.1869231,0.1947025,0.5978979,0.002029674,0.00758328],"study_design_scores_gemma":[0.0005357349,0.000130451,0.00286928,0.0001248147,0.00002520146,0.000008716086,0.00002268992,0.9898486,0.004248123,0.001532345,0.0003349867,0.0003190376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583488,0.0001747182,0.01445424,0.00007680066,0.0009367273,0.0004426077,0.00004765307,0.000188592,0.02532988],"genre_scores_gemma":[0.9988182,0.00007042527,0.0004658589,0.00001997454,0.0001023021,0.0000282285,0.00005613079,0.0000451848,0.0003936813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8029256,"threshold_uncertainty_score":0.9999409,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2810604226","doi":"10.2514/6.2018-4165","title":"High-Order Artificial Dissipation Operators Possessing the Summation-By-Parts Property","year":2018,"lang":"en","type":"article","venue":"2018 Fluid Dynamics Conference","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissipation; Property (philosophy); Order (exchange); Computer science; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02629429994489066,"gpt":0.283612917788369,"spread":0.2573186178434784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002239594,0.000205122,0.0001853975,0.00004165452,0.0002679897,0.0001755828,0.000238975,0.00008182188,0.00009779511],"category_scores_gemma":[0.0003104248,0.0001325394,0.00002841816,0.0003092896,0.0002447774,0.0002808845,0.00005724221,0.0001665366,0.0001112577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360931,"about_ca_system_score_gemma":0.00005331561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001381289,"about_ca_topic_score_gemma":0.00003257881,"domain_scores_codex":[0.9988095,0.0000773587,0.0003755017,0.0002234822,0.0002626936,0.0002515036],"domain_scores_gemma":[0.9989309,0.0002580529,0.00006830692,0.000329648,0.0003456238,0.00006743328],"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":[0.00004172707,0.0002134418,0.0002381814,0.00022643,0.0001513415,0.000004806871,0.002904084,0.1745022,0.04989998,0.3647758,0.006191898,0.4008501],"study_design_scores_gemma":[0.00006474932,0.00003604943,0.0001130588,0.00004060652,0.00001158271,0.000003047574,0.00008013138,0.961666,0.003141753,0.03398472,0.0006441599,0.0002140641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05107505,0.00002467107,0.9459233,0.0003775658,0.0009194224,0.0002467521,0.00003129159,0.0002316631,0.001170321],"genre_scores_gemma":[0.8348076,0.00001238597,0.1645523,0.00008388777,0.0002141595,0.00003986538,0.00005374957,0.0000417941,0.0001942114],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7871639,"threshold_uncertainty_score":0.5404801,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2803857192","doi":"10.2514/6.2018-4263","title":"Temporal Stabilisation of Flux Reconstruction on Linear Problems","year":2018,"lang":"en","type":"preprint","venue":"2018 Fluid Dynamics Conference","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast","keywords":"Filter (signal processing); Turbulence; Large eddy simulation; Dissipation; Flux (metallurgy); Domain (mathematical analysis); Reynolds number; Mechanics; Mathematics; Control theory (sociology); Applied mathematics; Computer science; Algorithm; Physics; Mathematical analysis; Materials science; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02131514801272127,"gpt":0.2205048096571731,"spread":0.1991896616444519,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003285429,0.000554962,0.0006244742,0.0003163394,0.00006373795,0.00008151842,0.0005140501,0.0006567132,0.0002982332],"category_scores_gemma":[0.00005488991,0.0005851152,0.0001910452,0.000165281,0.0002432771,0.0001312384,0.0002429998,0.0006966744,0.0001169719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003899221,"about_ca_system_score_gemma":0.0001989334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000938887,"about_ca_topic_score_gemma":0.0002590413,"domain_scores_codex":[0.997659,0.00006003312,0.0008673625,0.0006195865,0.0004062213,0.0003877417],"domain_scores_gemma":[0.9981302,0.00005355464,0.0002466577,0.001011756,0.0004324423,0.0001253847],"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":[0.0001144861,0.0002592324,0.005212624,0.003086045,0.00047238,0.000005987735,0.001045604,0.9212013,0.006124885,0.02921101,0.001970638,0.03129581],"study_design_scores_gemma":[0.0002803881,0.0001682748,0.0005158609,0.0006479641,0.00004395271,0.000005979592,0.00001900675,0.9911904,0.0004792142,0.005870811,0.0002458251,0.0005322729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9065142,0.0001419188,0.07057344,0.00006982259,0.006132866,0.001071195,0.0009268729,0.0005362146,0.01403343],"genre_scores_gemma":[0.9912177,0.0003231836,0.006160435,0.0000121935,0.000305612,0.00007382385,0.001323871,0.0001080334,0.0004751626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08470345,"threshold_uncertainty_score":0.99966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883557707","doi":"10.2514/6.2018-4165.c1","title":"Correction: High-Order Artificial Dissipation Operators Possessing the Summation-By-Parts Property","year":2018,"lang":"en","type":"article","venue":"2018 Fluid Dynamics Conference","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Dissipation; Property (philosophy); Computer science; Order (exchange); Physics; Epistemology","retraction":null,"screen_n_in":null,"score":{"opus":0.01139987360665869,"gpt":0.2152424277638074,"spread":0.2038425541571487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001199551,0.0001723642,0.0001194745,0.00004423209,0.0003701936,0.0003375623,0.0001528101,0.00009456092,0.0002643736],"category_scores_gemma":[0.00004943719,0.0001127533,0.00001991511,0.0001966263,0.0001127287,0.0003486836,0.0000299295,0.0001312475,0.00007313987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009830236,"about_ca_system_score_gemma":0.00005778209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001147646,"about_ca_topic_score_gemma":0.0004345677,"domain_scores_codex":[0.9991308,0.00002904712,0.0002481271,0.0002091937,0.0001730088,0.0002098252],"domain_scores_gemma":[0.9993479,0.00002855382,0.00004815593,0.0002518119,0.0002724018,0.00005117171],"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":[0.00009300809,0.0002152355,0.001511927,0.0002895273,0.0001722548,0.000004164484,0.005812178,0.5405737,0.01242258,0.02448592,0.07695019,0.3374694],"study_design_scores_gemma":[0.00007008633,0.00003091053,0.0005918758,0.00003946984,0.00001212294,0.000002379627,0.00007823278,0.9889696,0.007695819,0.0002247722,0.00209231,0.0001924503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1193136,0.0000410532,0.8698745,0.0004455408,0.003819055,0.0002997343,0.00002457924,0.0003745813,0.005807315],"genre_scores_gemma":[0.9970871,0.0000410524,0.0007593842,0.00005277019,0.0002528426,0.00003400727,0.0001531841,0.00002976177,0.001589942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8777735,"threshold_uncertainty_score":0.4597945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2811444172","doi":"10.2514/6.2018-3551","title":"Large Eddy Simulation of Three Dimensional Wall Effects in a Scramjet Cavity Flameholder","year":2018,"lang":"en","type":"article","venue":"2018 Fluid Dynamics Conference","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Ryerson University; University of Minnesota","keywords":"Scramjet; Large eddy simulation; Aero engine; Aerospace engineering; Computer science; Materials science; Mechanics; Physics; Engineering; Mechanical engineering; Chemistry; Combustion; Turbulence; Combustor","retraction":null,"screen_n_in":null,"score":{"opus":0.01307681749323618,"gpt":0.2317357934731775,"spread":0.2186589759799413,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000211534,0.0002080641,0.00027146,0.0001678736,0.00004703157,0.00002326373,0.0001961813,0.0001682417,0.0001072624],"category_scores_gemma":[0.00007414407,0.0002216833,0.00005690768,0.000256281,0.000110301,0.0001500416,0.00008431773,0.0002041918,0.0000706691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510075,"about_ca_system_score_gemma":0.00004921527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005555905,"about_ca_topic_score_gemma":0.004272627,"domain_scores_codex":[0.9988459,0.00003432656,0.0003312532,0.0002345793,0.000229745,0.0003241437],"domain_scores_gemma":[0.9991894,0.0001320253,0.00005029247,0.0003580702,0.0001893309,0.00008092316],"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":[0.0002073573,0.0003401891,0.02669724,0.0003902726,0.00008635208,0.00002030951,0.00102219,0.9033949,0.01077647,0.04866092,0.0002928064,0.008110927],"study_design_scores_gemma":[0.0006491354,0.0001041856,0.02750263,0.00010247,0.00001219242,0.000001337915,0.0000104093,0.9693748,0.0001223051,0.001836229,0.00006068696,0.0002236139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.705171,0.0000255941,0.2935086,0.00002111714,0.0003895513,0.0002079474,0.00004072426,0.0001074087,0.0005281258],"genre_scores_gemma":[0.9986037,0.000007335655,0.00107925,0.00004803355,0.00004661082,0.00001016101,0.00008177853,0.00002969267,0.00009341869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2934327,"threshold_uncertainty_score":0.9039982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2811361300","doi":"10.2514/6.2018-3558","title":"Asynchronous fine-grain parallel smoothers for computational fluid dynamics","year":2018,"lang":"en","type":"article","venue":"2018 Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Asynchronous communication; Computer science; Computational science; Computational fluid dynamics; Dynamics (music); Parallel computing; Mechanics; Physics; Acoustics; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01170624948565301,"gpt":0.2298607856895288,"spread":0.2181545362038758,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003269735,0.0006137372,0.0005310962,0.0002623042,0.0003436044,0.0002449364,0.0006956416,0.0002854459,0.0001476519],"category_scores_gemma":[0.00008289381,0.0006923909,0.0002397343,0.0003816722,0.0003867116,0.0002897724,0.0001292849,0.000270287,0.0001897951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008025878,"about_ca_system_score_gemma":0.0002618039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004565968,"about_ca_topic_score_gemma":0.00237504,"domain_scores_codex":[0.9972416,0.00004381641,0.000753524,0.0006736733,0.0004542666,0.0008331898],"domain_scores_gemma":[0.9980969,0.0003087208,0.0001138233,0.0005461936,0.000669768,0.0002645493],"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":[0.00006601052,0.00008784304,0.0003654371,0.0001048479,0.0001759613,0.000005782504,0.0001925119,0.4991073,0.0004423973,0.4814377,0.003086918,0.0149273],"study_design_scores_gemma":[0.0009992213,0.0002352736,0.001370157,0.00005762752,0.00004211194,0.00002390501,0.00007275062,0.9591251,0.00001162116,0.03651024,0.0007779707,0.0007740395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07602032,0.00008961105,0.9151763,0.0004644725,0.001686392,0.0006610107,0.001121668,0.0005515,0.004228759],"genre_scores_gemma":[0.923559,0.00004745585,0.07256895,0.000191476,0.0003926298,0.0001172233,0.002289884,0.0001735991,0.0006598626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8475386,"threshold_uncertainty_score":0.9995527,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884753402","doi":"10.2514/6.2018-3558.c1","title":"Correction: Asynchronous fine-grain parallel smoothers for computational fluid dynamics","year":2018,"lang":"en","type":"article","venue":"2018 Fluid Dynamics Conference","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Asynchronous communication; Computational science; Parallel computing; Dynamics (music); Distributed computing; Computer graphics (images); Telecommunications; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01924173875022746,"gpt":0.2798774711991697,"spread":0.2606357324489422,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004327096,0.0003692993,0.0003457089,0.000312121,0.0004682271,0.00051531,0.001360898,0.0001955613,0.00005054814],"category_scores_gemma":[0.00007586404,0.0003935441,0.0001701134,0.0006279357,0.0003222519,0.0004995869,0.0003434511,0.0001656887,0.00004594969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002678263,"about_ca_system_score_gemma":0.0003761984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007602966,"about_ca_topic_score_gemma":0.000798478,"domain_scores_codex":[0.9976515,0.00008777311,0.0005474589,0.0008113976,0.0003935847,0.0005082892],"domain_scores_gemma":[0.9975744,0.0002329322,0.0002302805,0.0007762476,0.001008605,0.0001775715],"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":[0.00001936181,0.00009841233,0.000346937,0.00001848787,0.00003727788,0.000001966059,0.0002812463,0.0005657819,0.00002875082,0.9544017,0.01456604,0.02963399],"study_design_scores_gemma":[0.0004603518,0.0005295826,0.0006405301,0.00005097473,0.00001041467,0.00002448169,0.00002474727,0.9305385,0.00008846859,0.06476328,0.002419751,0.0004489404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001243603,0.0000326287,0.9916548,0.0008513045,0.002830228,0.0005565817,0.00007216534,0.0006888599,0.002069819],"genre_scores_gemma":[0.7755398,0.0000391684,0.2212895,0.0007970193,0.0003529969,0.0001438384,0.000363538,0.00005615982,0.00141798],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9299727,"threshold_uncertainty_score":0.9998516,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}