{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":9,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":9,"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":"e90da4c9436d","filters":{"venue":"Transportation Engineering"}},"results":[{"id":"W3041666796","doi":"10.1016/j.treng.2020.100013","title":"Smart transportation planning: Data, models, and algorithms","year":2020,"lang":"en","type":"article","venue":"Transportation Engineering","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Ryerson University","keywords":"Exponential smoothing; Cluster analysis; Computer science; Autoregressive integrated moving average; Intelligent transportation system; Machine learning; Field (mathematics); Population; Artificial intelligence; Transportation planning; Time series; Kalman filter; Engineering; Transport engineering","authors":[{"name":"Zahra Karami","is_ca":true},{"name":"Rasha Kashef","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03778781692137233,"gpt":0.2241208272100097,"spread":0.1863330102886374,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001544568,0.001122376,0.0009925256,0.001723318,0.0005093574,0.002982492,0.001918996,0.001963601,0.004497163],"category_scores_gemma":[0.0061071,0.0008042284,0.0006504755,0.006107925,0.0007994846,0.004727975,0.001245548,0.002475897,0.001691636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762824,"about_ca_system_score_gemma":0.001831091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02291585,"about_ca_topic_score_gemma":0.01502752,"domain_scores_codex":[0.9991664,0.0002865736,0.000057624,0.0001711423,0.0002742276,0.00004410489],"domain_scores_gemma":[0.9977858,0.001376316,0.0002002953,0.0002937735,0.0002850968,0.00005867189],"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":[0.00004530551,0.000082962,0.004135346,0.0002885502,0.00007181665,0.0001004601,0.00008360182,0.7168133,0.000163368,0.08295909,0.03194527,0.163311],"study_design_scores_gemma":[0.00000877454,0.00001152405,0.0005848394,0.00007292962,0.00001327673,0.00005729707,0.00005324137,0.87296,0.0001588515,0.1070038,0.01905715,0.00001836957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01111987,0.009427837,0.9444762,0.006607802,0.0003484961,0.0001897019,0.009545085,0.002662031,0.01562304],"genre_scores_gemma":[0.3592876,0.02300686,0.5834194,0.0007781454,0.0008703943,0.0008374269,0.02182008,0.0004941323,0.009485942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02291585,"threshold_uncertainty_score":0.04556489,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4224273618","doi":"10.1016/j.treng.2022.100115","title":"3D object detection for autonomous driving: Methods, models, sensors, data, and challenges","year":2022,"lang":"en","type":"article","venue":"Transportation Engineering","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Object detection; Categorization; Artificial intelligence; Object (grammar); Focus (optics); Computer vision; Data mining; Pattern recognition (psychology)","authors":[{"name":"Alireza Ghasemieh","is_ca":true},{"name":"Rasha Kashef","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05284242472348057,"gpt":0.2838832401896235,"spread":0.2310408154661429,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002481163,0.001469515,0.001340377,0.003289086,0.0006799336,0.003352298,0.003319,0.002683326,0.001619362],"category_scores_gemma":[0.00550556,0.001163085,0.001148828,0.00293442,0.001503621,0.004633411,0.002041699,0.002176217,0.002020257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174758,"about_ca_system_score_gemma":0.001821696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008312437,"about_ca_topic_score_gemma":0.006164073,"domain_scores_codex":[0.997916,0.0003308385,0.0001148159,0.0003610982,0.001204946,0.0000722292],"domain_scores_gemma":[0.9972196,0.001246054,0.000190629,0.0002753529,0.0009847459,0.00008355537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004857995,0.00009249854,0.002586678,0.001442708,0.00009933634,0.0001302373,0.000256252,0.04742301,0.007024996,0.0198691,0.01211684,0.9089097],"study_design_scores_gemma":[0.000009659477,0.00008542985,0.002580676,0.0008022193,0.00007402326,0.0008524849,0.0003647457,0.8199555,0.01133569,0.0548695,0.1089028,0.0001672055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00344984,0.03602749,0.9544107,0.001514968,0.000338714,0.0001014458,0.0002159384,0.001154095,0.002786652],"genre_scores_gemma":[0.1190697,0.1105641,0.7603333,0.001003384,0.00109433,0.0004331746,0.001588609,0.0005783938,0.005334924],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008312437,"threshold_uncertainty_score":0.01652813,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3185095324","doi":"10.1016/j.treng.2021.100087","title":"A data-driven model for safety risk identification from flight data analysis","year":2021,"lang":"en","type":"article","venue":"Transportation Engineering","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Group for Research in Decision Analysis; Polytechnique Montréal","funders":"Mitacs","keywords":"Runway; Aviation; Fault tree analysis; Aviation accident; Computer science; Aviation safety; Identification (biology); Risk analysis (engineering); Aeronautics; Data mining; Engineering; Reliability engineering; Geography","authors":[{"name":"Mickael Rey","is_ca":false},{"name":"Daniel Aloise","is_ca":true},{"name":"François Soumis","is_ca":true},{"name":"Romanic Pieugueu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1711923024703331,"gpt":0.4046555615509826,"spread":0.2334632590806495,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003846691,0.001010581,0.001204094,0.001380148,0.0004437486,0.001596544,0.00207669,0.001461141,0.002245859],"category_scores_gemma":[0.009001936,0.000750908,0.001286219,0.001199505,0.0007295315,0.001329293,0.001235637,0.002165793,0.000679597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210096,"about_ca_system_score_gemma":0.00165684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119424,"about_ca_topic_score_gemma":0.01000054,"domain_scores_codex":[0.998603,0.0004550108,0.0001087569,0.0004043595,0.0002839681,0.0001448382],"domain_scores_gemma":[0.9942959,0.004282655,0.0003914914,0.000205677,0.0006962694,0.0001280428],"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":[0.000144256,0.0001048653,0.004343745,0.0001010584,0.000105992,0.0001632108,0.000101908,0.9481652,0.0008849626,0.01367425,0.001193428,0.03101708],"study_design_scores_gemma":[0.000003407627,0.00001272954,0.0002127342,0.00000514184,0.00000605437,0.00001015001,0.00000446011,0.9958926,0.00009615998,0.003568519,0.000183431,0.000004565086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02828788,0.0003242586,0.9681448,0.0006099284,0.00007433549,0.0001199139,0.000917643,0.0005074849,0.001013633],"genre_scores_gemma":[0.8123432,0.0006113496,0.1780214,0.0002733986,0.0001565125,0.0008446713,0.002523019,0.000124935,0.005101611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0119424,"threshold_uncertainty_score":0.02374583,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407986324","doi":"10.1016/j.treng.2025.100312","title":"Effect of aging kinetics on the fatigue behavior of asphalt mixtures incorporating various RAP contents","year":2025,"lang":"en","type":"article","venue":"Transportation Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Asphalt; Kinetics; Materials science; Composite material; Physics","authors":[{"name":"Mohammed Nouali","is_ca":false},{"name":"Anne Dony","is_ca":false},{"name":"Stéphanie Vignaud","is_ca":false},{"name":"Alan Carter","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01326546339592378,"gpt":0.2562566467723457,"spread":0.2429911833764219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004751378,0.0006350807,0.0003326969,0.0005987424,0.0001637226,0.0002131101,0.0002565031,0.0002825492,0.0007043433],"category_scores_gemma":[0.0006427927,0.0002227871,0.000304855,0.000444786,0.0001872719,0.0005277002,0.0002018159,0.0004492217,0.0002244226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984927,"about_ca_system_score_gemma":0.0002182856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009077966,"about_ca_topic_score_gemma":0.001809692,"domain_scores_codex":[0.9994161,0.00006874501,0.0000816031,0.0001255795,0.0002761045,0.00003190002],"domain_scores_gemma":[0.9995708,0.00006259963,0.0001575925,0.00004326484,0.0001400818,0.00002555668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001059064,0.00003274616,0.001179413,0.00008617948,0.0000110175,0.00002235602,0.00005293599,0.0002669076,0.9922047,0.00003669907,0.00002139013,0.005979754],"study_design_scores_gemma":[0.000002531025,0.0003177585,0.005125827,0.000006644341,0.00003171574,0.00007718107,0.00001722231,0.001512046,0.9921559,0.00000978793,0.0007326998,0.0000107627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717408,0.004111608,0.02229967,0.00004268222,0.00006426931,0.00009724544,0.0003824608,0.0002166765,0.0010445],"genre_scores_gemma":[0.9747966,0.002453966,0.02037801,0.00003239937,0.00001215203,0.0001452478,0.0005264393,0.00004362092,0.001611482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009077966,"threshold_uncertainty_score":0.002512813,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4284969520","doi":"10.1016/j.treng.2022.100124","title":"Ultra-low NOx diesel aftertreatment: An assessment by simulation","year":2022,"lang":"en","type":"article","venue":"Transportation Engineering","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"General Motors of Canada","keywords":"Robustness (evolution); NOx; Context (archaeology); Computer science; Diesel fuel; Automotive engineering; Procurement; Process (computing); Environmental science; Systems engineering; Simulation; Combustion; Engineering; Business","authors":[{"name":"Claudio Ciaravino","is_ca":false},{"name":"Paolo Ferreri","is_ca":false},{"name":"Chiara Pozzi","is_ca":false},{"name":"Giuseppe Previtero","is_ca":false},{"name":"Francesco Sapio","is_ca":false},{"name":"James Romagnolo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007020296165010977,"gpt":0.2678479680439302,"spread":0.2608276718789192,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005342173,0.0006077286,0.0007684533,0.0005122061,0.000415967,0.0009962152,0.000807619,0.001471991,0.002685457],"category_scores_gemma":[0.0008616073,0.0002144589,0.001096719,0.0005504476,0.0003738311,0.0005188838,0.0005028634,0.0007596076,0.0003474607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007565517,"about_ca_system_score_gemma":0.0007123937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02009935,"about_ca_topic_score_gemma":0.01007779,"domain_scores_codex":[0.9998223,0.00005184704,0.000009719072,0.00001919027,0.00005357601,0.00004322718],"domain_scores_gemma":[0.9992722,0.0004214529,0.00004094079,0.00005707173,0.0001635596,0.00004478065],"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":[0.0001385303,0.0001511472,0.003009082,0.0001230913,0.00002225947,0.00006418548,0.00004501102,0.988243,0.001610229,0.001349572,0.0005738209,0.004670077],"study_design_scores_gemma":[0.00003389157,0.0001353283,0.0009551664,0.00002155964,0.00001849205,0.00001377776,0.00006206847,0.9948414,0.00164449,0.0005617627,0.001700346,0.00001178895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241684,0.001057675,0.03278277,0.0006336067,0.0001663828,0.0002252349,0.003429552,0.0006008814,0.03693551],"genre_scores_gemma":[0.9855856,0.0006006075,0.008683033,0.00005233192,0.00001646493,0.0001355059,0.001725844,0.00005330568,0.003147301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02009935,"threshold_uncertainty_score":0.03996468,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3086620783","doi":"10.1016/j.treng.2020.100021","title":"Impacts of road and rail temporal traffic variations on grade crossings exposure, design, and regulation in Manitoba","year":2020,"lang":"en","type":"article","venue":"Transportation Engineering","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Level crossing; Train; Product (mathematics); Transport engineering; Computer science; Environmental science; Warning system; Engineering; Geography; Mathematics; Telecommunications; Cartography","authors":[{"name":"Giuseppe Grande","is_ca":true},{"name":"Garreth Rempel","is_ca":false},{"name":"Jonathan D. Regehr","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01483814174372709,"gpt":0.1941730200541121,"spread":0.179334878310385,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002224675,0.0003183266,0.0001977919,0.0007301546,0.001206769,0.001214646,0.001146351,0.0003344648,0.001356319],"category_scores_gemma":[0.004495807,0.0003397386,0.0003764896,0.001364829,0.00103476,0.0002629135,0.0009451818,0.0005523652,0.0001185553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01520335,"about_ca_system_score_gemma":0.01233663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.881166,"about_ca_topic_score_gemma":0.9547263,"domain_scores_codex":[0.997574,0.0007295918,0.0000985821,0.0003492565,0.000914878,0.0003336921],"domain_scores_gemma":[0.9959294,0.001019918,0.0008253741,0.0002169345,0.001609952,0.0003985001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001903445,0.0002548354,0.955964,0.00007648249,0.000161339,0.0003850837,0.003169113,0.007168461,0.005744282,0.0005119217,0.0008575884,0.02551658],"study_design_scores_gemma":[0.000005107304,0.0002323798,0.9936104,0.00002149198,0.00003027616,0.00004549383,0.002463727,0.001637235,0.0006184638,0.0000590455,0.001262912,0.00001342657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968489,0.0001402769,0.0005929,0.0002230221,0.000008661097,0.00004016463,0.0002272003,0.00002542947,0.001893545],"genre_scores_gemma":[0.9965128,0.0002049306,0.0006748207,0.0001214351,0.000003963606,0.00003280808,0.0002408739,0.00001023125,0.002198107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.118834,"threshold_uncertainty_score":0.2390676,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403634878","doi":"10.1016/j.treng.2024.100284","title":"Ensemble-based model to investigate factors influencing road crash fatality for imbalanced data","year":2024,"lang":"en","type":"article","venue":"Transportation Engineering","topic":"Traffic and Road Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Crash; Road accident; Computer science; Transport engineering; Statistics; Engineering; Mathematics","authors":[{"name":"Nazmus Sakib","is_ca":false},{"name":"Tonmoy Paul","is_ca":true},{"name":"Nafis Anwari","is_ca":false},{"name":"Md. Hadiuzzaman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03787001009734391,"gpt":0.254573342776216,"spread":0.2167033326788721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003178907,0.001068158,0.001395743,0.001529853,0.0004295748,0.0008566966,0.0009564382,0.0007269771,0.0009453434],"category_scores_gemma":[0.004906968,0.0003151018,0.00135926,0.001006175,0.0002136246,0.0009920548,0.000721274,0.001398026,0.0003544652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006100679,"about_ca_system_score_gemma":0.0009893209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01385887,"about_ca_topic_score_gemma":0.0116332,"domain_scores_codex":[0.9993279,0.0002427761,0.00004506952,0.0001680826,0.0001193569,0.00009690547],"domain_scores_gemma":[0.9978828,0.001167984,0.0002117253,0.0001874593,0.0004715658,0.00007852155],"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":[0.0001797153,0.0001546374,0.03354151,0.00005139551,0.0002961333,0.0000817497,0.00007582577,0.8984343,0.0009057117,0.001211279,0.002321186,0.06274653],"study_design_scores_gemma":[0.000001907159,0.00001492283,0.001504289,0.000003704567,0.00001584691,0.000006469678,0.00000959302,0.9978747,0.00008587626,0.0003332751,0.0001449901,0.000004336194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4868087,0.00203229,0.5046125,0.0008346629,0.0003102736,0.0001315711,0.001567054,0.001297769,0.002405226],"genre_scores_gemma":[0.9623909,0.0004381952,0.03331525,0.000141242,0.000121292,0.00009898929,0.002124193,0.00004825738,0.001321738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01385887,"threshold_uncertainty_score":0.02755636,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387642787","doi":"10.1016/j.treng.2023.100208","title":"Macroscopic traffic characterization based on driver memory and traffic stimuli","year":2023,"lang":"en","type":"article","venue":"Transportation Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Higher Education Commision, Pakistan; University of Engineering and Technology, Peshawar","keywords":"Bottleneck; Headway; Zhàng; Traffic flow (computer networking); Traffic bottleneck; Traffic model; Computer science; Function (biology); Traffic wave; Simulation; Flow (mathematics); Traffic congestion reconstruction with Kerner's three-phase theory; Characterization (materials science); Microscopic traffic flow model; Traffic generation model; Real-time computing; Floating car data; Traffic optimization; Engineering; Traffic congestion; Mechanics; Physics; Computer network; Transport engineering; Embedded system; Geography","authors":[{"name":"Zawar H. Khan","is_ca":true},{"name":"Waheed Imran","is_ca":false},{"name":"T. Aaron Gulliver","is_ca":true},{"name":"Khurram Shehzad Khattak","is_ca":false},{"name":"G.U. Din","is_ca":false},{"name":"Nasru Minallah","is_ca":false},{"name":"Mushtaq Ahmad Khan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006360435535643829,"gpt":0.1879761023360367,"spread":0.1816156668003928,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002294126,0.0005493163,0.0005762774,0.0004968953,0.0002109997,0.0007762933,0.000773786,0.0004084413,0.0007640091],"category_scores_gemma":[0.0006775131,0.0002001315,0.0003257776,0.0003987006,0.0004131575,0.001264291,0.0004796569,0.0004263426,0.0001367331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007944574,"about_ca_system_score_gemma":0.0006287612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005504871,"about_ca_topic_score_gemma":0.003259328,"domain_scores_codex":[0.9998103,0.00003577684,0.000006405521,0.0000465056,0.00005526127,0.00004568959],"domain_scores_gemma":[0.9997352,0.00007818027,0.00004830287,0.00004357317,0.00006566233,0.00002913865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006887314,0.00006828608,0.002584465,0.00002384377,0.0000147933,0.0000727283,0.00003956267,0.9697234,0.01096072,0.005808889,0.0002828733,0.01035146],"study_design_scores_gemma":[0.00000146194,0.00001766664,0.000458856,7.418814e-7,0.000002659674,0.000008457386,0.000005199906,0.998167,0.0007399492,0.0005236246,0.00006884156,0.000005408089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4949458,0.0001727554,0.4970941,0.0001093776,0.00005409641,0.0000849427,0.0002696326,0.0006902721,0.00657901],"genre_scores_gemma":[0.9948047,0.00006547123,0.004222801,0.000008812819,0.000007341033,0.0000236445,0.00009631499,0.0000147888,0.0007561386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005504871,"threshold_uncertainty_score":0.01094568,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415070958","doi":"10.1016/j.treng.2025.100397","title":"Blended wing body designs for aerodynamic, stability, and control optimization: A comprehensive review","year":2025,"lang":"en","type":"review","venue":"Transportation Engineering","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"United Arab Emirates University","keywords":"Propulsion; Aerospace; Fuselage; Airworthiness; Payload (computing); Aviation; Aerodynamics; Control (management)","authors":[{"name":"Ussama Ali","is_ca":false},{"name":"Mohamed Okasha","is_ca":false},{"name":"Tarek N. Dief","is_ca":false},{"name":"Mostafa S. A. ElSayed","is_ca":true},{"name":"Mohamed M. Kamra","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02645579968896309,"gpt":0.2724703631349373,"spread":0.2460145634459742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007025098,0.001246314,0.001331955,0.002061152,0.0003011574,0.001126163,0.0008360935,0.00100733,0.005362749],"category_scores_gemma":[0.001132936,0.0005153829,0.0010145,0.002333335,0.0003040423,0.001304533,0.0006411206,0.001171674,0.001880859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004318482,"about_ca_system_score_gemma":0.001306899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128887,"about_ca_topic_score_gemma":0.001940479,"domain_scores_codex":[0.9997278,0.00003724809,0.00003908349,0.00005683242,0.000113963,0.00002509309],"domain_scores_gemma":[0.9995077,0.0002615094,0.00007308551,0.00002051141,0.0001159155,0.00002131938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005339747,0.0001107869,0.0002177751,0.05319692,0.0002026112,0.0001177488,0.0000791703,0.003670576,0.004335397,0.01036385,0.02288678,0.904765],"study_design_scores_gemma":[0.00001535361,0.0002125663,0.0006175894,0.008508493,0.0003471429,0.0004587296,0.0000627236,0.0009935671,0.002085932,0.003213748,0.983444,0.0000401706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002964438,0.9965287,0.000969708,0.0001265122,0.0001453557,0.00001104989,0.00004412733,0.00001810688,0.001860106],"genre_scores_gemma":[0.002163062,0.9958741,0.0009633011,0.0001020288,0.00009256778,0.0000151536,0.00006573999,0.000007315472,0.0007167417],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005362749,"threshold_uncertainty_score":0.01794016,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}