{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":13,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":13,"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":"24ade32517bc","filters":{"venue":"Proceedings of the Institution of Civil Engineers - Transport"}},"results":[{"id":"W2046294346","doi":"10.1680/tran.2010.163.4.203","title":"Empirical evidence for taxi customer-search model","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Taxis; Multinomial logistic regression; Affect (linguistics); Choice set; Market segmentation; Business; Logistic regression; Empirical research; Marketing; Demographics; Set (abstract data type); Computer science; Econometrics; Operations research; Transport engineering; Economics; Statistics; Engineering; Psychology; Mathematics","authors":[{"name":"R. M. N. T. Sirisoma","is_ca":true},{"name":"S.C. Wong","is_ca":false},{"name":"William H. K. Lam","is_ca":false},{"name":"Donggen Wang","is_ca":false},{"name":"Hai Yang","is_ca":false},{"name":"Peng Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05786260370946075,"gpt":0.294771308154533,"spread":0.2369087044450723,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006421492,0.0005855898,0.001315536,0.00202493,0.0008067118,0.003177671,0.002368142,0.002057904,0.04944882],"category_scores_gemma":[0.05472048,0.0004016715,0.001323149,0.003415303,0.001480622,0.002915272,0.001067348,0.001922296,0.004376119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904381,"about_ca_system_score_gemma":0.001839317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466082,"about_ca_topic_score_gemma":0.007099584,"domain_scores_codex":[0.9972382,0.001366583,0.0001822602,0.0004252882,0.000449848,0.0003378961],"domain_scores_gemma":[0.9023453,0.08246613,0.006849646,0.00248421,0.004662058,0.00119264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001103234,0.001178604,0.4802429,0.001087799,0.00061442,0.001945164,0.002541655,0.177325,0.0005525107,0.2419901,0.0216625,0.06975628],"study_design_scores_gemma":[0.0002334879,0.0003088915,0.08073155,0.0003671483,0.0002522118,0.001069842,0.004393296,0.8000303,0.0003098287,0.09952018,0.01267177,0.000111484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.875025,0.001753622,0.06490822,0.006575934,0.0001182933,0.0003912829,0.004063254,0.0003987842,0.04676561],"genre_scores_gemma":[0.9905651,0.0007418362,0.002749583,0.0002525473,0.00005520774,0.0001045088,0.00127961,0.0000480349,0.004203522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04944882,"threshold_uncertainty_score":0.1654228,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1974497097","doi":"10.1680/tran.2003.156.4.179","title":"Development of road management systems in China","year":2003,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Birmingham; University of Ottawa; Hong Kong Polytechnic University; Tongji University; World Bank Group","keywords":"China; Work (physics); Management system; Information system; Engineering management; Transport engineering; Engineering; Computer science; Operations management; Geography","authors":[{"name":"W. G. Wong","is_ca":false},{"name":"Guojun He","is_ca":false},{"name":"Shiu-fai Luk","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004322236128343544,"gpt":0.1748757716484197,"spread":0.1705535355200762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00190132,0.0004092919,0.000205305,0.002061757,0.001229329,0.001869105,0.0008144458,0.0003560457,0.004330198],"category_scores_gemma":[0.002084537,0.0002318586,0.0003658709,0.003190259,0.0008293197,0.001580209,0.001510197,0.0003610933,0.0005585002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006212981,"about_ca_system_score_gemma":0.01707589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05704483,"about_ca_topic_score_gemma":0.03008336,"domain_scores_codex":[0.9982923,0.0002920656,0.000170268,0.0002857391,0.0006599903,0.0002996314],"domain_scores_gemma":[0.9985915,0.0001426065,0.0001714101,0.0001946002,0.0006938297,0.0002060762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001000507,0.0001745203,0.04318545,0.0007803842,0.00009880521,0.0007349253,0.003017553,0.01827593,0.008127395,0.1323645,0.01294026,0.7802002],"study_design_scores_gemma":[0.000114822,0.0009610484,0.215634,0.0003569521,0.0001691679,0.0007243479,0.002716241,0.04591268,0.01387051,0.02055548,0.6988474,0.0001375123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6442428,0.01240019,0.05871293,0.006071426,0.0003825667,0.0012962,0.001226564,0.00204783,0.2736195],"genre_scores_gemma":[0.9345032,0.004095701,0.02741193,0.0002796941,0.00006776645,0.0002474861,0.0009990282,0.00005829945,0.03233692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05704483,"threshold_uncertainty_score":0.1134256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2287754250","doi":"10.1680/jtran.14.00090","title":"Reliability of sight distance at stop-control intersections","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Traffic and Road Safety","field":"Engineering","cited_by":10,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intersection (aeronautics); Reliability (semiconductor); Truck; Transport engineering; Reliability engineering; Margin (machine learning); Engineering; Random variable; Computer science; Statistics; Mathematics; Automotive engineering; Power (physics)","authors":[{"name":"Said M. Easa","is_ca":true},{"name":"Altaf Hussain","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003710597531547752,"gpt":0.1660562668367282,"spread":0.1623456693051804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003215832,0.0004538223,0.0005972386,0.001912665,0.0003828495,0.001078165,0.0009768886,0.0006954822,0.001081077],"category_scores_gemma":[0.02424138,0.0004262916,0.0005889803,0.0008845284,0.0007583812,0.001316845,0.0009280103,0.0005721669,0.0004744638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009706061,"about_ca_system_score_gemma":0.0005571423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002655759,"about_ca_topic_score_gemma":0.001613357,"domain_scores_codex":[0.9954304,0.001001195,0.0003005566,0.0009421416,0.001947006,0.0003786895],"domain_scores_gemma":[0.9750909,0.0119883,0.003895591,0.002276527,0.006283381,0.0004654076],"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":[0.001543617,0.0001385359,0.2816856,0.0002482026,0.0002770956,0.0003779923,0.0008197945,0.5827264,0.01041788,0.01619313,0.00189128,0.1036804],"study_design_scores_gemma":[0.00005400779,0.0008904409,0.1258835,0.00005584325,0.0001244633,0.0006526619,0.0003170987,0.8384635,0.01384142,0.01684257,0.002710627,0.0001638219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7481679,0.0006733587,0.2448641,0.0001508088,0.00005772797,0.00004817969,0.000658005,0.000563707,0.004816279],"genre_scores_gemma":[0.9963197,0.00004697567,0.003035445,0.000005145129,0.00001298195,0.00001188423,0.0002519454,0.00001656449,0.0002994846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003215832,"threshold_uncertainty_score":0.01700717,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206088763","doi":"10.1680/jtran.21.00032","title":"Freight distribution analysis and modelling of inland waterway transport using big data","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Port (circuit theory); Upstream (networking); Yangtze river; Distribution (mathematics); Transport engineering; Environmental science; Gravity model of trade; Delta; Marine engineering; China; Geography; Computer science; Business; Engineering; Telecommunications; Mathematics","authors":[{"name":"Guihua Deng","is_ca":false},{"name":"Ming Zhong","is_ca":false},{"name":"Lei Mo","is_ca":false},{"name":"John Douglas Hunt","is_ca":true},{"name":"Wanle Wang","is_ca":false},{"name":"Yong Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03724653951828727,"gpt":0.1973555292936865,"spread":0.1601089897753992,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009667386,0.001086482,0.0004931476,0.001340832,0.0004209476,0.001146181,0.001295833,0.0009561176,0.001320617],"category_scores_gemma":[0.001944502,0.0005883847,0.001151314,0.001747709,0.0004742133,0.001930726,0.0006805031,0.001010135,0.0002312488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943374,"about_ca_system_score_gemma":0.0009810602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08635952,"about_ca_topic_score_gemma":0.04976147,"domain_scores_codex":[0.9996911,0.0001037531,0.00002579872,0.00007752793,0.00003323516,0.00006862655],"domain_scores_gemma":[0.9991477,0.0004822251,0.0001017532,0.00008753016,0.0001255914,0.00005534871],"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":[0.00003327953,0.00004869256,0.01090837,0.00001997339,0.00003934319,0.00009612832,0.0000436923,0.9825155,0.0002725989,0.001186249,0.0004347085,0.004401494],"study_design_scores_gemma":[0.000001497524,0.000004630954,0.001912789,0.000001635976,0.000002673258,0.000003830777,0.00002528267,0.9974967,0.00006816615,0.0003859843,0.00009378533,0.000002980022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255598,0.0001728968,0.06648806,0.0006480764,0.00006450267,0.00007159793,0.004357108,0.00059708,0.002040807],"genre_scores_gemma":[0.9841602,0.0001457824,0.01147724,0.0000260427,0.00001832675,0.00005035267,0.003151383,0.00004269164,0.0009278425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08635952,"threshold_uncertainty_score":0.1717137,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3189322195","doi":"10.1680/jtran.20.00128","title":"Effective education of essential traffic-related safety items to children in cities","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Traffic and Road Safety","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Psychology; Cognition; Child safety; Applied psychology; Medical education; Developmental psychology; Medicine; Engineering; Psychiatry","authors":[{"name":"Navid Nadimi","is_ca":false},{"name":"Hamed Shamsadini Lori","is_ca":false},{"name":"Amir Mohammadian Amiri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002103412893091382,"gpt":0.1772805089965833,"spread":0.1751770961034919,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008336937,0.0002974909,0.000266743,0.0006415812,0.0004583852,0.0003766108,0.0003694214,0.000355969,0.002214479],"category_scores_gemma":[0.002782691,0.0002392779,0.0003306788,0.0005536363,0.0003151643,0.0005371305,0.0006806773,0.0004873133,0.0003153885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008111154,"about_ca_system_score_gemma":0.001329838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02043553,"about_ca_topic_score_gemma":0.04616704,"domain_scores_codex":[0.9996707,0.00007510127,0.00003562097,0.00002878922,0.00007460416,0.0001151161],"domain_scores_gemma":[0.9989126,0.0003064909,0.0003368823,0.0000490493,0.0001494887,0.000245535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001458279,0.0008957071,0.9491863,0.0003097938,0.0000292469,0.0004253527,0.009498653,0.0005097587,0.001741614,0.0001631041,0.001156788,0.03593786],"study_design_scores_gemma":[0.00001159249,0.0003754159,0.9922647,0.00007477815,0.00002230219,0.0001301457,0.004548098,0.000216514,0.0005972815,0.00006166748,0.001687864,0.000009601242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994491,0.00003549423,0.00003313892,0.00003964576,0.000001815682,0.00001055248,0.00005427974,0.000003717432,0.0003723226],"genre_scores_gemma":[0.9981981,0.0003282317,0.0004805288,0.00002113811,0.000003307969,0.00003104808,0.0001926581,0.000002583586,0.0007424622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02043553,"threshold_uncertainty_score":0.0406332,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4234898455","doi":"10.1680/jtran.15.00095","title":"Greenhouse gas from ridership on the Jubilee Line Extension","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Commonwealth Scholarship Commission","keywords":"Greenhouse gas; Mode (computer interface); Mode choice; Greenhouse; Line (geometry); Environmental science; Extension (predicate logic); Transport engineering; Survey data collection; Agricultural economics; Geography; Economics; Public transport; Engineering; Computer science; Mathematics; Statistics","authors":[{"name":"Shoshanna Saxe","is_ca":true},{"name":"Steve Denman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02682719751680439,"gpt":0.2413028438837837,"spread":0.2144756463669793,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002587639,0.000263339,0.0001461657,0.0006647377,0.0002901761,0.001149665,0.0002182446,0.0004022539,0.002589268],"category_scores_gemma":[0.001006268,0.0001190826,0.0003594252,0.0008003135,0.0003027086,0.0006348272,0.000970674,0.00048303,0.0002889002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009990965,"about_ca_system_score_gemma":0.0004018854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06145766,"about_ca_topic_score_gemma":0.1075657,"domain_scores_codex":[0.9997147,0.00007698541,0.00000997573,0.00003931895,0.00008409139,0.00007487601],"domain_scores_gemma":[0.9993,0.0001479404,0.0002490821,0.00002846304,0.0001790454,0.00009546122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004558313,0.0001081462,0.9611893,0.0001545704,0.000156808,0.0009132184,0.001700886,0.005829812,0.003756349,0.0004735287,0.003006133,0.02225539],"study_design_scores_gemma":[0.000003192861,0.00009538138,0.994823,0.00003268358,0.00003563506,0.00009395342,0.001310191,0.0008046112,0.0006302765,0.0001077481,0.002052067,0.00001122743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955074,0.0003346639,0.0001106751,0.0002550543,0.00001259817,0.000007151714,0.0008073603,0.000009374582,0.002955792],"genre_scores_gemma":[0.9978314,0.0002949802,0.00007295723,0.00002980117,0.00001374339,0.000006720017,0.0006067038,0.000003621403,0.001139967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06145766,"threshold_uncertainty_score":0.1221999,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2027564705","doi":"10.1680/tran.2001.147.2.61","title":"CrossRail: Scope, background and feasibility","year":2001,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Scope (computer science); Train; Quarter (Canadian coin); Work (physics); Transport engineering; Engineering; Civil engineering; Geography; Telecommunications; Archaeology; Computer science","authors":[{"name":"J. C. Fergusson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02377934977923607,"gpt":0.2384889352196135,"spread":0.2147095854403774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01329246,0.0006831907,0.0003657904,0.00402265,0.003012807,0.01120148,0.003504284,0.004065559,0.03406768],"category_scores_gemma":[0.01356718,0.0009429344,0.000479752,0.00298309,0.003417888,0.008911809,0.0106375,0.002840344,0.005664741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005407629,"about_ca_system_score_gemma":0.0147083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008001132,"about_ca_topic_score_gemma":0.009345444,"domain_scores_codex":[0.992125,0.002567063,0.0004391792,0.001268943,0.002231604,0.001368233],"domain_scores_gemma":[0.9874517,0.004426389,0.001060425,0.0008481293,0.003883026,0.002330287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004659907,0.001178621,0.01288015,0.002541189,0.00001603581,0.001887033,0.007312796,0.002348475,0.002751748,0.5091274,0.04555046,0.4139402],"study_design_scores_gemma":[0.00006017808,0.0009303137,0.01329518,0.002262546,0.00001434197,0.001802217,0.0156832,0.002395027,0.003032823,0.02688476,0.933544,0.00009535172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1047554,0.05048531,0.03926975,0.06951564,0.001676911,0.002013406,0.001756382,0.0005498978,0.7299773],"genre_scores_gemma":[0.591772,0.03987783,0.06361616,0.01232624,0.001577661,0.002819381,0.003091548,0.00049991,0.2844194],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03406768,"threshold_uncertainty_score":0.1139678,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2910096530","doi":"10.1680/jtran.17.00157","title":"Proactive highway traffic control with intelligent multi-objective optimisation algorithm","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","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":true},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Metering mode; Traffic flow (computer networking); Traffic congestion; Transport engineering; Control (management); Traffic congestion reconstruction with Kerner's three-phase theory; Traffic optimization; Computer science; Algorithm; Traffic bottleneck; Floating car data; Engineering; Computer network; Artificial intelligence","authors":[{"name":"Huahui Xie","is_ca":false},{"name":"Lili Tu","is_ca":false},{"name":"Jie Fang","is_ca":false},{"name":"Said M. Easa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005182606969246861,"gpt":0.1728119994032329,"spread":0.167629392433986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007269526,0.0008859986,0.0009043615,0.0005642018,0.0003661304,0.0008144349,0.0009185326,0.0009311084,0.001110265],"category_scores_gemma":[0.0009319178,0.0003749638,0.0006448384,0.0004679394,0.0005384724,0.0004633863,0.0007213125,0.0007497297,0.0001749759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006409306,"about_ca_system_score_gemma":0.001000073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008811705,"about_ca_topic_score_gemma":0.005522734,"domain_scores_codex":[0.9997086,0.00009337201,0.00001388073,0.00006700763,0.00006270518,0.00005446247],"domain_scores_gemma":[0.9995677,0.000246026,0.00006844821,0.00002053002,0.00008065961,0.00001665565],"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":[0.00001823869,0.00001539311,0.0001551031,0.00001489457,0.00001401078,0.00001171994,0.00000925437,0.992559,0.0004477364,0.0005035258,0.0001362178,0.006114954],"study_design_scores_gemma":[0.000005666424,0.00001169704,0.00005032846,0.000001132168,0.000002522781,0.000001707071,0.000001650932,0.9996048,0.00009505475,0.0001590679,0.00006511707,0.000001395225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05404294,0.0003374649,0.9378431,0.0001615172,0.00005068004,0.00008087602,0.00006050723,0.0006850169,0.006737899],"genre_scores_gemma":[0.9083145,0.0001169243,0.08892305,0.00007583418,0.00003168586,0.0001705841,0.0001071365,0.00004943914,0.002210816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008811705,"threshold_uncertainty_score":0.01752084,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2018785903","doi":"10.1680/tran.13.00081","title":"New Quito airport, Ecuador: high-flying success via collaboration","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"International airport; Destinations; Scope (computer science); Business; Business travel; Government (linguistics); Latin Americans; Finance; Tourism; Geography; Transport engineering; Political science; Engineering","authors":[{"name":"Chris Chalk","is_ca":false},{"name":"David Beare","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02091769244778324,"gpt":0.2091611160978306,"spread":0.1882434236500473,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001270931,0.000255182,0.0001056565,0.0003952915,0.002965958,0.004187794,0.0005389531,0.0004066446,0.01107685],"category_scores_gemma":[0.00207538,0.00008294971,0.000100044,0.0007452783,0.0007122552,0.002543746,0.002754649,0.0007106751,0.000719278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002314593,"about_ca_system_score_gemma":0.002551244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01915344,"about_ca_topic_score_gemma":0.03082861,"domain_scores_codex":[0.9993669,0.0001868028,0.00001245628,0.00005228929,0.0001227686,0.000258668],"domain_scores_gemma":[0.998858,0.0002298924,0.0001191584,0.00005813542,0.000247107,0.0004877201],"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":[0.0006061185,0.001367819,0.1298315,0.0008234496,0.0001192728,0.01279784,0.06302506,0.001576484,0.003790611,0.1229373,0.1341961,0.5289285],"study_design_scores_gemma":[0.0001004428,0.0005559723,0.1614274,0.0005658154,0.00005209712,0.001481238,0.1914546,0.001825592,0.001405084,0.006244159,0.6348326,0.00005508298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.708846,0.002532117,0.00178765,0.008360538,0.0002153667,0.0001126205,0.0001627325,0.00006515799,0.2779179],"genre_scores_gemma":[0.9680294,0.001183149,0.000846482,0.0002381589,0.00003881554,0.00004389569,0.0001324907,0.00002681708,0.02946087],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01915344,"threshold_uncertainty_score":0.03808391,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409430986","doi":"10.1680/jtran.24.00115","title":"Review of literature on funding mechanisms in Sub-Saharan Africa on road construction and operation","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Durham College","funders":"","keywords":"Road construction; Business; Environmental planning; Regional science; Transport engineering; Geography; Engineering","authors":[{"name":"Harry Evdorides","is_ca":false},{"name":"Abubakar Kori Alkali","is_ca":false},{"name":"Mohammed Hamza Momade","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01395395799593,"gpt":0.2210908095929761,"spread":0.2071368515970461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01145172,0.001327675,0.002592267,0.01569035,0.0008860438,0.0037122,0.001492917,0.001820692,0.007546809],"category_scores_gemma":[0.05968421,0.000997761,0.002910851,0.02376739,0.001043143,0.003703558,0.001783503,0.00132083,0.0005673641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005207856,"about_ca_system_score_gemma":0.01938671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01337199,"about_ca_topic_score_gemma":0.02825873,"domain_scores_codex":[0.9911896,0.003918718,0.002241912,0.0005408215,0.00163805,0.0004709155],"domain_scores_gemma":[0.9488171,0.03813085,0.008157747,0.0004466608,0.00400717,0.0004404219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002532543,0.00004957783,0.003379783,0.6537258,0.002263416,0.0004160037,0.001355999,0.0005735976,0.0001896217,0.004974891,0.01102963,0.3217885],"study_design_scores_gemma":[0.00008536507,0.0001435772,0.01501826,0.858914,0.007023839,0.0005931453,0.002117951,0.0001236529,0.0002180092,0.001769992,0.1139463,0.00004584221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001919177,0.9950793,0.0001650246,0.001060745,0.0002497419,0.00006930018,0.0002280536,0.000005544,0.001223127],"genre_scores_gemma":[0.01344733,0.9855292,0.0002912636,0.0002936175,0.000117399,0.00009855742,0.0001320407,0.00000366004,0.00008689411],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01569035,"threshold_uncertainty_score":0.06056321,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4253043441","doi":"10.1680/tran.12.00074","title":"Estimation of annual average daily traffic with optimal adjustment factors","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Traffic Prediction and Management Techniques","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":"Transport Canada","funders":"","keywords":"Estimation; Statistics; Computer science; Transport engineering; Econometrics; Mathematics; Engineering","authors":[{"name":"Borja Alonso","is_ca":true},{"name":"Ángel Ibeas","is_ca":true},{"name":"José Luis Moura","is_ca":true},{"name":"Juan P. Romero","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003862913593115149,"gpt":0.170393160147912,"spread":0.1665302465547968,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001138362,0.000693696,0.001046021,0.0007174186,0.0002452336,0.0007676047,0.000681114,0.0007749031,0.0004676449],"category_scores_gemma":[0.004524004,0.000552515,0.0005585513,0.0007448892,0.0002192338,0.0007442417,0.000302045,0.000581674,0.0001541464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005485216,"about_ca_system_score_gemma":0.001154486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01289828,"about_ca_topic_score_gemma":0.007110187,"domain_scores_codex":[0.9996025,0.0001200841,0.0000251285,0.0001336478,0.00005989134,0.00005871524],"domain_scores_gemma":[0.9986771,0.0008091516,0.0001125443,0.0001093824,0.0002415,0.00005035484],"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":[0.0001194032,0.00004044326,0.0036656,0.00001791823,0.00003421473,0.00001701903,0.0000169093,0.9565607,0.001717738,0.0005113751,0.0002643255,0.03703433],"study_design_scores_gemma":[0.000002603415,0.000006048396,0.0006703868,4.975875e-7,0.000003853301,0.000002290435,0.000001910193,0.9988068,0.0002739311,0.0001961203,0.00003297527,0.000002611308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2816836,0.0001410202,0.7163446,0.00007123958,0.00003354047,0.00002603157,0.0001401411,0.0008164204,0.0007434415],"genre_scores_gemma":[0.9305678,0.00005982872,0.06862914,0.000009367224,0.00002191239,0.00002962169,0.0001802118,0.00003841272,0.0004636865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01289828,"threshold_uncertainty_score":0.02564639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380324379","doi":"10.1680/jtran.22.00077","title":"Energy-optimal control of intelligent track inspection trains: design and experiment","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Railway Systems and Energy Efficiency","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":"University of Waterloo","funders":"","keywords":"Trajectory; Optimal control; Energy consumption; Controller (irrigation); MATLAB; Train; Model predictive control; Control theory (sociology); Computer science; Track (disk drive); Energy (signal processing); Trajectory optimization; State of charge; Software; Simulation; Control engineering; Battery (electricity); Engineering; Control (management); Mathematical optimization; Artificial intelligence","authors":[{"name":"Xinxin Zhao","is_ca":false},{"name":"Xu Guo","is_ca":false},{"name":"Nasser L. Azad","is_ca":true},{"name":"Jue Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01049819035044305,"gpt":0.1905278930474064,"spread":0.1800297026969633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006688955,0.0003851837,0.0004404209,0.0002463916,0.0002348277,0.000445149,0.0005889171,0.0006069133,0.001386181],"category_scores_gemma":[0.0006709331,0.0001983782,0.0002345917,0.0001855779,0.0002949082,0.0003137777,0.0002813422,0.0003726908,0.0001168468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003878453,"about_ca_system_score_gemma":0.0005479621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002804611,"about_ca_topic_score_gemma":0.001368218,"domain_scores_codex":[0.9997491,0.00004792449,0.00002090677,0.00005382358,0.00007958934,0.00004863877],"domain_scores_gemma":[0.9996245,0.0001290205,0.0000580798,0.00004219078,0.000106599,0.00003960306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002295329,0.001747618,0.004079751,0.0009008948,0.00009773465,0.0002052826,0.0003531387,0.7782129,0.1332791,0.002956812,0.0005861983,0.07528532],"study_design_scores_gemma":[0.0003295993,0.005791683,0.003608659,0.00001871388,0.00006671395,0.00003053947,0.00009897404,0.9170206,0.07092194,0.0003969964,0.001683088,0.00003257623],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8782009,0.0001088293,0.1156145,0.00007412964,0.00004231767,0.0005239902,0.0001011271,0.000490176,0.004844107],"genre_scores_gemma":[0.9897701,0.0000268701,0.009354229,0.000007383714,0.000001570657,0.0001827378,0.00002794422,0.000006356636,0.0006228595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002804611,"threshold_uncertainty_score":0.005576611,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2006585413","doi":"10.1680/tran.2000.141.1.43","title":"The North Hollywood Project, Los Angeles","year":2000,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Geotechnical Engineering and Underground Structures","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":"Hatch (Canada)","funders":"California Department of Transportation","keywords":"Engineering; Shotcrete; Track (disk drive); Runway; Railway tunnel; Railway line; Civil engineering; Geology; Mining engineering; Geotechnical engineering; Forensic engineering; Mechanical engineering","authors":[{"name":"A R BIGGART","is_ca":true},{"name":"John G. Hawley","is_ca":true},{"name":"J. Townsend","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005312015827152877,"gpt":0.1781589369654481,"spread":0.1728469211382952,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001867044,0.0003884707,0.0001184885,0.0004537755,0.001426152,0.002285464,0.0005148881,0.0003684586,0.06818279],"category_scores_gemma":[0.0005498669,0.0003092731,0.0001072008,0.0005388208,0.0004690451,0.0008413182,0.001017635,0.0007016437,0.01099231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778959,"about_ca_system_score_gemma":0.00418066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09308334,"about_ca_topic_score_gemma":0.2556274,"domain_scores_codex":[0.9997825,0.00002068469,0.000005893,0.00004637666,0.0001047144,0.00003982514],"domain_scores_gemma":[0.9996118,0.00002913011,0.00003411766,0.00002497085,0.0001654732,0.0001345821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001913562,0.0001350294,0.01285318,0.0004051799,0.0000224079,0.0007076816,0.00093157,0.000489146,0.002003251,0.008998647,0.7743121,0.1989505],"study_design_scores_gemma":[0.00002406482,0.00004175548,0.02486676,0.0001486319,0.000008865677,0.0001973448,0.0008741939,0.0003582768,0.0004623708,0.0005605681,0.9724427,0.00001437306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08625524,0.007614823,0.0037061,0.005597837,0.0006987817,0.0001923821,0.007218073,0.002128183,0.8865885],"genre_scores_gemma":[0.09434602,0.004421371,0.004778876,0.0003886884,0.00009777182,0.0001479509,0.00437775,0.0003490708,0.8910925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09308334,"threshold_uncertainty_score":0.2280942,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}