{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"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","author_layer_release":"2026-06-26"},"query_hash":"521c7bda855d","filters":{"venue":"Journal of computational fluids engineering"}},"results":[{"id":"W2058469525","doi":"10.6112/kscfe.2014.19.2.049","title":"DEVELOPMENT OF A 2-D GAS-KINETIC BGK SOLVER FOR CONTINUUM AND TRANSITIONAL FLOWS ON UNSTRUCTURED MESHES","year":2014,"lang":"en","type":"article","venue":"Journal of computational fluids engineering","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Solver; Kinetic energy; Polygon mesh; Classification of discontinuities; Kinetic scheme; Hypersonic speed; Physics; Mechanics; Real gas; Boltzmann equation; Compressibility; Statistical physics; Classical mechanics; Mathematics; Thermodynamics; Geometry; Mathematical analysis; Mathematical optimization","authors":[{"name":"Taeyoung Yang","is_ca":true},{"name":"Oh Joon Kwon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0106267017396439,"gpt":0.2342119521437689,"spread":0.223585250404125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003927459,0.0001112317,0.000250832,0.0001329547,0.00002969919,0.00001340393,0.00007110747,0.00003986033,0.000009340808],"category_scores_gemma":[0.0001294342,0.00009702521,0.00007981932,0.0000422199,0.00001545427,0.00003577554,0.000008540841,0.00008457157,1.810739e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002347193,"about_ca_system_score_gemma":0.00004468339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.949289e-8,"about_ca_topic_score_gemma":4.864761e-7,"domain_scores_codex":[0.9990849,0.00001290945,0.0004839024,0.00007172209,0.0002428028,0.0001037413],"domain_scores_gemma":[0.9989961,0.0005752253,0.0001289176,0.00004202849,0.0002003643,0.00005735554],"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":[0.0002518504,0.0001476952,0.00003172319,0.0006235968,0.0003035507,0.000003649905,0.001916238,0.4847693,0.04677238,0.4548296,0.0003152453,0.01003516],"study_design_scores_gemma":[0.002645069,0.0002950529,0.003842121,0.0004085073,0.00008335602,0.0001325484,0.00004283945,0.7018021,0.003184074,0.2860415,0.001280998,0.0002419076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5076646,0.00002318105,0.4920744,0.00005346358,0.0001021501,0.00005257184,0.00000399482,0.000004835036,0.00002079856],"genre_scores_gemma":[0.6051299,9.574053e-7,0.3947601,0.00001368871,0.0000751073,0.000001608454,0.000002959929,0.00001106187,0.000004665564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2170328,"threshold_uncertainty_score":0.3956573,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2039188123","doi":"10.6112/kscfe.2012.17.4.032","title":"A STUDY ON CONSTRAINED EGO METHOD FOR NOISY CFD DATA","year":2012,"lang":"en","type":"article","venue":"Journal of computational fluids engineering","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer 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":"Kootenay Association for Science & Technology","funders":"","keywords":"Kriging; Mathematical optimization; Global optimization; Interpolation (computer graphics); Computer science; Function (biology); Metamodeling; Mathematics; Algorithm; Artificial intelligence; Machine learning; Image (mathematics)","authors":[{"name":"Harok Bae","is_ca":true},{"name":"Joonha Kwon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04870646548112034,"gpt":0.3532155430837276,"spread":0.3045090776026073,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001030398,0.0001547937,0.0002468766,0.0002781949,0.00006703168,0.00006918123,0.0007332277,0.00003269489,0.00000329204],"category_scores_gemma":[0.0004662504,0.0001447151,0.00006782089,0.0002970822,0.00001044271,0.001152748,0.0001478701,0.0001738919,0.000003694825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008956057,"about_ca_system_score_gemma":0.00009639932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.43355e-7,"about_ca_topic_score_gemma":4.920172e-8,"domain_scores_codex":[0.9986163,0.00005257626,0.0004693317,0.000188268,0.0004387556,0.0002347197],"domain_scores_gemma":[0.9979871,0.0009674089,0.0001899088,0.0002813969,0.0004214674,0.0001527494],"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":[0.00001300274,0.0002353954,0.00008155443,0.000007373746,0.00007625346,0.000007882181,0.0004826216,0.984314,0.0003429815,0.008623273,0.0001434246,0.005672216],"study_design_scores_gemma":[0.001322603,0.0002743153,0.002560489,0.00002285598,0.00001919526,0.0001782438,0.00007509011,0.9942735,0.000218231,0.0004154832,0.0004845323,0.0001554882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001353401,0.00008204322,0.9971852,0.0001783297,0.0008412597,0.0002577947,0.00001512806,0.00005043121,0.00003647097],"genre_scores_gemma":[0.2020066,0.000001064363,0.7975659,0.00007639583,0.0003117755,0.000005500741,0.000007047911,0.00001560398,0.0000101109],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2006532,"threshold_uncertainty_score":0.5901312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412101275","doi":"10.6112/kscfe.2025.30.2.025","title":"DESIGN AND PERFORMANCE INVESTIGATION OF A 3.5MW TWO-STAGE AXIAL STEAM TURBINE","year":2025,"lang":"en","type":"article","venue":"Journal of computational fluids engineering","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Stage (stratigraphy); Steam turbine; Turbine; Engineering; Nuclear engineering; Mechanical engineering; Manufacturing engineering; Geology","authors":[{"name":"Sajan Tamang","is_ca":false},{"name":"Zhengquan Piao","is_ca":false},{"name":"Yoon-Kyo Jung","is_ca":true},{"name":"J.S. Kim","is_ca":true},{"name":"Hyunjin Park","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006728466575910217,"gpt":0.2106610029281714,"spread":0.2039325363522611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002576882,0.000104285,0.0002230031,0.0002274717,0.00002288561,0.00001528438,0.00008666986,0.00003637259,0.0000049859],"category_scores_gemma":[0.0000159551,0.00009943933,0.0000513982,0.0001435585,0.00001975444,0.0001274162,0.00001135761,0.0001222093,6.497856e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004036213,"about_ca_system_score_gemma":0.00004613945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001984237,"about_ca_topic_score_gemma":6.401787e-8,"domain_scores_codex":[0.9992446,0.00001382489,0.0004267895,0.0000539149,0.0001645098,0.00009635296],"domain_scores_gemma":[0.9996163,0.0001039382,0.00008028082,0.00004761605,0.0001043229,0.00004755867],"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":[0.00002212397,0.000004060253,0.0003002504,0.0001849131,0.00008600287,0.00000202148,0.0001447663,0.9870815,0.01041297,0.0007528429,0.00006841774,0.0009400714],"study_design_scores_gemma":[0.0004727856,0.00006093003,0.004524958,0.0002176631,0.00003543178,0.00002543284,0.00002685959,0.9921513,0.002071095,0.0002851005,0.00004459394,0.00008387212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4788289,0.0006606561,0.520176,0.00001012586,0.0002208309,0.00003002255,9.042122e-7,0.00001742293,0.00005509829],"genre_scores_gemma":[0.9864068,0.00005442494,0.0134056,0.000007771363,0.00007186818,0.000001181367,0.000002145401,0.00001102076,0.00003919625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5075779,"threshold_uncertainty_score":0.4055018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7123348915","doi":"10.6112/kscfe.2025.30.4.092","title":"CFD-BASED CORRECTION METHOD FOR AERODYNAMIC PERFORMANCE IN ICED AIRFOIL WIND TUNNEL TESTING","year":2025,"lang":"en","type":"article","venue":"Journal of computational fluids engineering","topic":"Heat Transfer Mechanisms","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":"Nexen (Canada)","funders":"","keywords":"Airfoil; Wind tunnel; Aerodynamics; Angle of attack; Supersonic wind tunnel","authors":[{"name":"D.H. Kim","is_ca":false},{"name":"J. Park","is_ca":true},{"name":"J. Jang","is_ca":true},{"name":"Jaehwan Kim","is_ca":true},{"name":"J.S. Park","is_ca":true},{"name":"S. Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00932342173145677,"gpt":0.2383297154582795,"spread":0.2290062937268227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000628844,0.0001721374,0.0002777434,0.0006277862,0.00003999055,0.00003064183,0.0001349686,0.00008168881,0.000002744078],"category_scores_gemma":[0.0001768829,0.0001938537,0.00009051778,0.0005567956,0.00000541113,0.000203805,0.000006574488,0.0003138129,0.000001128554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003054104,"about_ca_system_score_gemma":0.0001352508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002021623,"about_ca_topic_score_gemma":0.000002139878,"domain_scores_codex":[0.9988326,0.00002035504,0.0005982986,0.0001082343,0.0002091478,0.0002313248],"domain_scores_gemma":[0.9988036,0.0008199071,0.00003112782,0.00006502507,0.0002216886,0.00005868301],"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":[0.00002248716,0.00001695577,0.0002005377,0.0002667871,0.00003094989,0.000003776542,0.00004356429,0.9509742,0.04228937,0.000204104,0.00005529037,0.005892012],"study_design_scores_gemma":[0.00109756,0.00009273749,0.01713457,0.0004955302,0.00002491998,0.00003223623,0.000008860784,0.9739943,0.006677407,0.0001783276,0.0001095474,0.0001540199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2453262,0.00008140255,0.7529961,0.00004661531,0.00125414,0.0001186949,0.000002693734,0.00007758306,0.00009652858],"genre_scores_gemma":[0.7497616,0.000002683217,0.2500698,0.00003247282,0.00008368755,0.000007117496,0.000004568044,0.00002748344,0.00001054015],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5044355,"threshold_uncertainty_score":0.7905126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406408912","doi":"10.6112/kscfe.2024.29.4.175","title":"COMPARISON OF PARALLELIZATION PERFORMANCE OF FIRE DYNAMIC SIMULATOR(FDS) PROGRAM","year":2024,"lang":"en","type":"article","venue":"Journal of computational fluids engineering","topic":"Parallel Computing and Optimization Techniques","field":"Computer 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":"Nexen (Canada)","funders":"","keywords":"Computer science; Fire Dynamics Simulator; Simulation; Parallel computing; Aerospace engineering; Engineering; Computational fluid dynamics","authors":[{"name":"Ji-Hwan Shin","is_ca":true},{"name":"Dongeun Kim","is_ca":false},{"name":"Taewan Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01113500635013396,"gpt":0.3036065021899412,"spread":0.2924714958398072,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002995562,0.0001177007,0.0002873179,0.0003061286,0.00002797869,0.00005709119,0.00037978,0.00005303633,0.000002835792],"category_scores_gemma":[0.00004416345,0.0001111428,0.0001132892,0.0005419402,0.00002092422,0.0004056845,0.00005760846,0.0001619163,0.000001009679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004978206,"about_ca_system_score_gemma":0.0001184262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.443462e-7,"about_ca_topic_score_gemma":3.486986e-8,"domain_scores_codex":[0.998545,0.00002305828,0.0007682241,0.0001162975,0.0004285348,0.0001188926],"domain_scores_gemma":[0.9990088,0.0001955042,0.0002258782,0.0001121618,0.0004077969,0.000049913],"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":[0.000005831779,0.00006556396,0.0005224247,0.0002136884,0.00003580116,0.00000243112,0.0002230383,0.9746749,0.0004492187,0.002884752,0.0001170885,0.02080525],"study_design_scores_gemma":[0.0001377346,0.0003432514,0.002847663,0.0003884491,0.00001132192,0.0000288881,0.000003121623,0.9940161,0.001633239,0.0002948635,0.000198334,0.00009710517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2616426,0.0009627177,0.7368932,0.00004828929,0.000240782,0.00006759322,8.522659e-7,0.0001238042,0.00002012889],"genre_scores_gemma":[0.700535,0.00003768909,0.2993752,0.000003875778,0.00002911543,0.000001182532,0.000003092772,0.000008333347,0.000006507569],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4388924,"threshold_uncertainty_score":0.453227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2016528330","doi":"10.6112/kscfe.2014.19.2.040","title":"NUMERICAL STUDY OF WEDGE FLOW IN RAREFIED GAS FLOW REGIME USING A SLIP BOUNDARY CONDITION","year":2014,"lang":"en","type":"article","venue":"Journal of computational fluids engineering","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Knudsen number; Temperature jump; Mechanics; Slip (aerodynamics); Slip ratio; Boundary value problem; Direct simulation Monte Carlo; Monte Carlo method; Wedge (geometry); Mach number; Knudsen flow; Jump; Physics; Mathematics; Thermodynamics; Dynamic Monte Carlo method; Shear stress; Optics","authors":[{"name":"Young Jae Choi","is_ca":true},{"name":"Oh Joon Kwon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01626427221256987,"gpt":0.2712931906899473,"spread":0.2550289184773774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007085582,0.0001330728,0.0003820443,0.0003126669,0.00003052047,0.0000255079,0.0001313649,0.0000503203,0.00001823783],"category_scores_gemma":[0.0002973777,0.0001290459,0.00009065278,0.0001947849,0.00001679877,0.0001124257,0.00002441625,0.000230298,9.218025e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009341747,"about_ca_system_score_gemma":0.0000628756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002643225,"about_ca_topic_score_gemma":4.441032e-7,"domain_scores_codex":[0.9985651,0.00008375321,0.0007237656,0.00009449985,0.000388618,0.0001442924],"domain_scores_gemma":[0.9988697,0.0005414075,0.0002230239,0.00009477384,0.0002037436,0.00006734239],"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":[0.00004501891,0.0002753955,0.0001767129,0.00007526988,0.00005104418,0.0000178267,0.0007103016,0.9917534,0.001187312,0.005144108,0.00004300911,0.0005205737],"study_design_scores_gemma":[0.001509943,0.0002722166,0.003132585,0.0001764723,0.00003750831,0.0001300141,0.00007846637,0.9536185,0.00005329475,0.04085387,0.00002553203,0.0001115911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5852944,0.00002659403,0.4143694,0.00002249155,0.000182566,0.00006928244,0.000001591893,0.000007971683,0.00002568866],"genre_scores_gemma":[0.885112,9.15171e-7,0.1147037,0.00001001145,0.0001422809,0.000001258806,0.000002840765,0.00002249286,0.000004532772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2998176,"threshold_uncertainty_score":0.526234,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}