{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":47,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":47,"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":"da237bb2cceb","filters":{"venue":"Transportmetrica A Transport Science"}},"results":[{"id":"W2559190211","doi":"10.1080/23249935.2016.1266531","title":"A bi-directional agent-based pedestrian microscopic model","year":2016,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia","funders":"","keywords":"Pedestrian; Computer science; Microsimulation; Genetic algorithm; Calibration; Artificial intelligence; Simulation; Data mining; Machine learning; Statistics; Engineering; Mathematics; Transport engineering","authors":[{"name":"Mohamed Hussein","is_ca":true},{"name":"Tarek Sayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01711227055555657,"gpt":0.2333250102870253,"spread":0.2162127397314687,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003781552,0.0002591878,0.000236056,0.0008542298,0.000206094,0.00002867067,0.0005058088,0.0000955696,0.000222824],"category_scores_gemma":[0.00001420886,0.0002036909,0.0001502837,0.003035749,0.0004250401,0.0004465499,0.000002575513,0.0001308887,0.00006204611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022158,"about_ca_system_score_gemma":0.0003945821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001421021,"about_ca_topic_score_gemma":0.00007366053,"domain_scores_codex":[0.9977401,0.000006612692,0.0004363106,0.0004770234,0.0007518991,0.0005880281],"domain_scores_gemma":[0.9990972,0.00005022348,0.00004203932,0.0003635273,0.0001179518,0.0003290754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000127071,0.0004876613,0.1213883,0.0002883738,0.00007546612,0.00009722441,0.0008004049,0.3249277,0.5145918,0.003256516,0.0002594568,0.03370011],"study_design_scores_gemma":[0.005300411,0.0002022172,0.3234294,0.0002316279,0.0001888678,0.0000197044,0.00003727224,0.5703436,0.08257159,0.0009047379,0.01476448,0.002006106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4733488,0.0001187097,0.5231335,0.0002365323,0.0002960564,0.0001939663,0.0001342316,0.0006251161,0.001913139],"genre_scores_gemma":[0.9903586,0.0001595554,0.008920444,0.0001087942,0.00002670607,0.00003412248,0.0000180692,0.00003746583,0.0003362373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5170098,"threshold_uncertainty_score":0.8306274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3001727567","doi":"10.1080/23249935.2020.1722279","title":"Reduced gradient algorithm for user equilibrium traffic assignment problem","year":2020,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Path (computing); Convergence (economics); Algorithm; Mathematical optimization; Mathematics; Flow network; Flow (mathematics); Computer science","authors":[{"name":"Abbas Babazadeh","is_ca":false},{"name":"Babak Javani","is_ca":false},{"name":"Guido Gentile","is_ca":false},{"name":"Michaël Florian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03622401172152028,"gpt":0.2900376237217734,"spread":0.2538136120002532,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001424428,0.0003238955,0.000427757,0.0004734691,0.0009984934,0.0001083573,0.0008522425,0.000158108,0.0001673311],"category_scores_gemma":[0.00006231653,0.0003289735,0.0002699503,0.005727196,0.0009843986,0.0009544027,0.000003825713,0.0002260192,0.00001660811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001633175,"about_ca_system_score_gemma":0.001119266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001437519,"about_ca_topic_score_gemma":0.00008213759,"domain_scores_codex":[0.9953609,0.00004778048,0.0007686256,0.001077308,0.001655551,0.001089891],"domain_scores_gemma":[0.9980459,0.0001224671,0.0002205438,0.000217711,0.0003992997,0.0009941078],"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":[0.001170742,0.003872646,0.03523218,0.0007232868,0.0003674844,0.0003314683,0.2916509,0.2315223,0.01517269,0.03627162,0.003420647,0.380264],"study_design_scores_gemma":[0.01596336,0.00519813,0.1449167,0.0004548923,0.001767614,0.00001277047,0.0167334,0.115919,0.01677317,0.0008461052,0.6741214,0.007293488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2039577,0.0002401164,0.7776036,0.007689385,0.0007390323,0.003315574,0.00044108,0.001191622,0.004821884],"genre_scores_gemma":[0.927111,0.00008343329,0.07133475,0.0005095355,0.0001851573,0.0001580831,0.0001783403,0.00004018177,0.0003995575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7231533,"threshold_uncertainty_score":0.9999163,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3135120323","doi":"10.1080/23249935.2021.1898487","title":"Microscopic modeling of cyclists interactions with pedestrians in shared spaces: a Gaussian process inverse reinforcement learning approach","year":2021,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Reinforcement learning; Process (computing); Machine learning; Artificial intelligence; Microsimulation; Gaussian process; Human–computer interaction; Pedestrian; Gaussian; Engineering; Transport engineering","authors":[{"name":"Rushdi Alsaleh","is_ca":true},{"name":"Tarek Sayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01824803005132324,"gpt":0.2412460335899745,"spread":0.2229980035386513,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002804984,0.0002665932,0.0004147018,0.0007535214,0.0001489082,0.00002977532,0.0003570664,0.00007452865,0.00005502488],"category_scores_gemma":[0.00001283148,0.0002433695,0.00009361187,0.005654621,0.0002327749,0.0006219917,0.000005191345,0.000463591,0.000002028648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268585,"about_ca_system_score_gemma":0.0004535187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00011831,"about_ca_topic_score_gemma":0.0005123563,"domain_scores_codex":[0.9977086,0.00001254258,0.0006132258,0.0005235702,0.0005947815,0.0005472846],"domain_scores_gemma":[0.999275,0.00002134417,0.00007483195,0.000288979,0.0001433983,0.0001964394],"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":[0.00004123687,0.0001211787,0.03670764,0.0003230114,0.00002094826,0.00006825066,0.005172003,0.9550543,0.002228686,0.0000646188,7.46327e-7,0.0001973179],"study_design_scores_gemma":[0.001795484,0.00009402855,0.07225082,0.0004831007,0.0001007179,0.00004279865,0.00360246,0.9171326,0.003754511,0.000009643736,0.0001392254,0.0005946458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8199383,0.000119175,0.1731445,0.00002741665,0.00008570591,0.0002796744,0.00001445314,0.000185979,0.00620477],"genre_scores_gemma":[0.9933056,0.0001227895,0.006310977,0.000009587176,0.0000122962,0.00003649341,0.00007425244,0.00003226745,0.00009577283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1733672,"threshold_uncertainty_score":0.9924322,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1993722829","doi":"10.1080/23249935.2013.809818","title":"Regret minimisation and utility maximisation in a freight transport context","year":2013,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Regret; Minimisation (clinical trials); Econometrics; Logit; Mixed logit; Computer science; Operations research; Economics; Logistic regression; Mathematics; Statistics; Machine learning","authors":[{"name":"Marco Boeri","is_ca":false},{"name":"Lorenzo Masiero","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08579528421586112,"gpt":0.2039263247169431,"spread":0.118131040501082,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001361332,0.0002634279,0.000495273,0.0009015242,0.0001755332,0.00003731197,0.0003346826,0.0001424197,0.001979065],"category_scores_gemma":[0.00002766208,0.0003006035,0.0001066748,0.001461421,0.0006152862,0.00161729,0.000006659717,0.0002035479,0.0002343243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099469,"about_ca_system_score_gemma":0.0000585795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002637248,"about_ca_topic_score_gemma":0.0003478904,"domain_scores_codex":[0.997161,0.00001173248,0.001151648,0.0009846815,0.0001663433,0.0005246267],"domain_scores_gemma":[0.9990274,0.00004322653,0.0002728512,0.0003826703,0.00003212837,0.0002417573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001512506,0.0001285049,0.9848146,0.00002785574,0.000007448149,0.000004116858,0.001548454,0.00004129068,0.0001482287,0.008274474,0.00001262093,0.004977318],"study_design_scores_gemma":[0.0009615883,0.00006238514,0.9884952,0.00001641811,0.00001019522,0.000003969011,0.0002345522,0.001917003,0.0002736298,0.006633522,0.001054495,0.0003370214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840332,0.0005351994,0.004965778,0.0006575978,0.0001492546,0.0007727233,0.00008915218,0.00005231998,0.008744747],"genre_scores_gemma":[0.9976565,0.0003285522,0.001287552,0.0002734883,0.00001952091,0.0001079334,0.00007283864,0.00002199614,0.0002316616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01362323,"threshold_uncertainty_score":0.9999446,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4289080355","doi":"10.1080/23249935.2022.2061081","title":"Multiagent modeling of pedestrian-vehicle conflicts using Adversarial Inverse Reinforcement Learning","year":2022,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic and Road Safety","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 British Columbia","funders":"","keywords":"Collision avoidance; Reinforcement learning; Pedestrian; Computer science; Artificial intelligence; Adversarial system; Collision; Machine learning; Computer security; Engineering; Transport engineering","authors":[{"name":"Payam Nasernejad","is_ca":true},{"name":"Tarek Sayed","is_ca":true},{"name":"Rushdi Alsaleh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0328431867682801,"gpt":0.2319418393667528,"spread":0.1990986525984727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000914022,0.0002598565,0.0003783472,0.0007761298,0.0006314472,0.00001056831,0.0005953868,0.00005917687,0.000289698],"category_scores_gemma":[0.00001188273,0.0002839636,0.0001962078,0.003474189,0.0002506125,0.0003591735,0.00002383616,0.0004981978,0.000003079576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877508,"about_ca_system_score_gemma":0.0002947249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004164042,"about_ca_topic_score_gemma":0.00002391317,"domain_scores_codex":[0.9968547,0.00002309003,0.0007386177,0.0004462601,0.00124056,0.0006967732],"domain_scores_gemma":[0.9991992,0.00003145724,0.0001025201,0.0003026054,0.00009026266,0.0002739358],"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":[0.00007198414,0.00005853132,0.0057856,0.00005682448,0.00002730755,0.00003515502,0.002518334,0.9820331,0.008633524,0.00006689358,0.000001822332,0.0007108892],"study_design_scores_gemma":[0.0012933,0.0001201949,0.004044121,0.00001730709,0.0000866948,0.00000704274,0.0006280736,0.9905621,0.001683064,0.000005244506,0.001217624,0.0003351964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8802092,0.0001726446,0.1170775,0.00001056133,0.0005009213,0.0003580567,0.00002819699,0.0002980806,0.00134483],"genre_scores_gemma":[0.9978567,0.0001017623,0.00186545,0.00001847536,0.00003234647,0.00001832006,0.00003084688,0.00003715142,0.00003894061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1176475,"threshold_uncertainty_score":0.9999613,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3003831080","doi":"10.1080/23249935.2020.1720042","title":"Quantifying and classifying the robustness of bus transit networks","year":2020,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Computer science; Network topology; Distributed computing; Computer network","authors":[{"name":"Hatem Abdelaty","is_ca":true},{"name":"Moataz Mohamed","is_ca":true},{"name":"Mohamed Ezzeldin","is_ca":true},{"name":"Wael El‐Dakhakhni","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04978807860530222,"gpt":0.2738548344129579,"spread":0.2240667558076557,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006553058,0.0002572255,0.0004859214,0.000236527,0.000402402,0.00004161149,0.0008080348,0.0000433915,0.0001389857],"category_scores_gemma":[0.000005116864,0.0001932615,0.0002281622,0.005647378,0.0009709925,0.0003243733,0.00001678954,0.0003398997,6.524444e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001187817,"about_ca_system_score_gemma":0.000112647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001606249,"about_ca_topic_score_gemma":0.00002535838,"domain_scores_codex":[0.9976614,0.00002906439,0.0006089527,0.0006058657,0.0005997784,0.0004948984],"domain_scores_gemma":[0.9989312,0.0001219473,0.0001966069,0.000357889,0.0001396286,0.0002527582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000123993,0.000207003,0.8029554,0.0001130204,0.0001809901,0.00001474872,0.002841743,0.1182871,0.004889714,0.01771957,0.00005300438,0.0526136],"study_design_scores_gemma":[0.001235452,0.000249909,0.5434922,0.0001387171,0.0008269225,0.000004761569,0.001097581,0.4428782,0.006462485,0.0003001951,0.002246156,0.001067403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3957757,0.0003243815,0.6022658,0.0005315341,0.00004323088,0.0002756233,0.00001614654,0.00008437505,0.0006831988],"genre_scores_gemma":[0.9966939,0.00005199562,0.002994146,0.00008156809,0.0001213277,0.00001708258,0.00001315032,0.00002088866,0.000005935827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6009182,"threshold_uncertainty_score":0.7880975,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063182210","doi":"10.1080/23249935.2013.788100","title":"Temporal transferability of work trip mode choice models in an expanding suburban area: the case of York Region, Ontario","year":2013,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transferability; Heteroscedasticity; Context (archaeology); Mode choice; Aggregate (composite); Econometrics; Discrete choice; Population; Aggregate data; Estimation; Revealed preference; Computer science; Geography; Statistics; Economics; Transport engineering; Mathematics; Engineering; Public transport; Demography; Sociology","authors":[{"name":"David R. Forsey","is_ca":true},{"name":"Khandker Nurul Habib","is_ca":true},{"name":"Eric J. Miller","is_ca":true},{"name":"Amer Shalaby","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07863434303957872,"gpt":0.3134946797596121,"spread":0.2348603367200334,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003233061,0.0004365258,0.0009699856,0.0008863071,0.0007883021,0.00007058804,0.001992149,0.0002645369,0.0003653044],"category_scores_gemma":[0.00005331562,0.0003416851,0.0004079138,0.01056739,0.00438914,0.002999837,0.000008434888,0.0006286402,0.000001114469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003966904,"about_ca_system_score_gemma":0.001781996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6377764,"about_ca_topic_score_gemma":0.7304934,"domain_scores_codex":[0.9942949,0.0001936414,0.001815486,0.001179579,0.001377526,0.001138911],"domain_scores_gemma":[0.9969864,0.000356905,0.0003896167,0.001136763,0.0005733505,0.0005569455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000131459,0.000694274,0.9235971,0.0000586013,0.00001324101,0.0000884389,0.07181229,0.0008732792,0.000211156,0.0007116596,0.000004372893,0.001804142],"study_design_scores_gemma":[0.0009665607,0.0001598799,0.9898537,0.0001111426,0.0001080807,0.000005371379,0.004026891,0.0003844509,0.0006716835,0.003130863,0.00009189267,0.0004894692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912645,0.0002247939,0.004365741,0.0002585556,0.0001828767,0.001784759,0.00004042188,0.00009101798,0.001787289],"genre_scores_gemma":[0.9988048,0.0000274612,0.0008064923,0.00003685355,0.00003826595,0.0001099526,0.00002062985,0.00002545654,0.0001300692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09271705,"threshold_uncertainty_score":0.9999035,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3144728929","doi":"10.1080/23249935.2021.1908443","title":"Modeling lateral interactions between motorized vehicles and non-motorized vehicles in mixed traffic using accelerated failure duration model","year":2021,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic control and management","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"China Scholarship Council","keywords":"Duration (music); Automotive engineering; Computer science; Transport engineering; Engineering; Physics; Acoustics","authors":[{"name":"Yan Liu","is_ca":false},{"name":"Rushdi Alsaleh","is_ca":true},{"name":"Tarek Sayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02934801974266132,"gpt":0.2468692841556796,"spread":0.2175212644130183,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000436011,0.0003545491,0.0005356487,0.0009316786,0.0002448405,0.000102045,0.0002985181,0.0001168279,0.00001360122],"category_scores_gemma":[0.00001195494,0.000375505,0.000125327,0.00332054,0.0001197041,0.001103345,0.00001225564,0.0003760068,0.000001843657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886413,"about_ca_system_score_gemma":0.0001918758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009977283,"about_ca_topic_score_gemma":0.0004825515,"domain_scores_codex":[0.997297,0.00002126233,0.0008229256,0.0006799628,0.0005348574,0.0006439381],"domain_scores_gemma":[0.9992145,0.00004448753,0.00005452217,0.0002917891,0.0001548411,0.000239861],"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":[0.00002737367,0.00006290962,0.002963859,0.00007371473,0.0000352992,0.00005394038,0.0009738998,0.8135377,0.1792057,0.0000241562,0.000001152677,0.003040313],"study_design_scores_gemma":[0.00174536,0.00001779197,0.06019681,0.00008268293,0.0001160916,0.000004860996,0.0001654517,0.9352645,0.001919191,0.00003237345,0.00006373376,0.0003911807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8985663,0.0001444839,0.1001381,0.0001266036,0.0002159721,0.0004143626,0.000047365,0.0003060298,0.0000408399],"genre_scores_gemma":[0.9899812,0.0001461372,0.009632233,0.00001654192,0.00005309996,0.00003958742,0.00006511807,0.00004223766,0.00002378816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1772865,"threshold_uncertainty_score":0.9998697,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3001524208","doi":"10.1080/23249935.2020.1720859","title":"System reliability as a surrogate measure of safety for horizontal curves: methodology and case studies","year":2020,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; University of British Columbia","funders":"","keywords":"Rollover (web design); Reliability (semiconductor); Truck; Monte Carlo method; Mode (computer interface); Modal; Stability (learning theory); Geometric design; Engineering; Reliability engineering; Statistics; Computer science; Transport engineering; Mathematics; Automotive engineering","authors":[{"name":"Rushdi Alsaleh","is_ca":true},{"name":"Tarek Sayed","is_ca":true},{"name":"Karim Ismail","is_ca":true},{"name":"Fahad AlRukaibi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06706924376654227,"gpt":0.2934466953584852,"spread":0.2263774515919429,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002163919,0.0003020841,0.0008723915,0.0002253654,0.0002203033,0.000005077477,0.0003294297,0.0001104361,0.000007370172],"category_scores_gemma":[0.0002168093,0.0002588357,0.0002006097,0.002452329,0.0008698239,0.0002728081,0.00000840352,0.000213834,0.000001490602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008797628,"about_ca_system_score_gemma":0.0001638152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005611272,"about_ca_topic_score_gemma":0.00004977975,"domain_scores_codex":[0.9975088,0.0000485716,0.0008194951,0.0006460318,0.0004870951,0.0004900388],"domain_scores_gemma":[0.9985172,0.0004312161,0.00009318356,0.0002889876,0.0003002645,0.0003691405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.01129723,0.00151402,0.1909799,0.2116406,0.004474756,0.01663002,0.1569378,0.1396479,0.0555839,0.05658549,0.0007778704,0.1539304],"study_design_scores_gemma":[0.04464219,0.01691583,0.5476351,0.009266996,0.01319034,0.01552583,0.08131313,0.1145852,0.1189411,0.0009109441,0.02257452,0.01449888],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8550507,0.00997515,0.1307764,0.000427558,0.0004390128,0.001446992,0.0005807488,0.0006934817,0.0006100237],"genre_scores_gemma":[0.9879079,0.001343832,0.01058282,0.00004995214,0.00003023364,0.00004133704,0.00001113308,0.00002875439,0.000004077374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3566552,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3114160417","doi":"10.1080/23249935.2020.1869349","title":"Vertical integration and capacity investment in a two-port system","year":2020,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada; National Natural Science Foundation of China","keywords":"Port (circuit theory); Profit (economics); Investment (military); Business; Container (type theory); Economics; Microeconomics; Engineering; Electrical engineering; Mechanical engineering","authors":[{"name":"Changmin Jiang","is_ca":true},{"name":"Xiaowen Fu","is_ca":false},{"name":"Ying-En Ge","is_ca":false},{"name":"Shengda Zhu","is_ca":false},{"name":"Shiyuan Zheng","is_ca":false},{"name":"Yi-bin Xiao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02946085495419815,"gpt":0.223835546373951,"spread":0.1943746914197529,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003968056,0.0002122677,0.0003168864,0.0003231452,0.00007508766,0.00002930372,0.0002314115,0.00005244074,0.00003398032],"category_scores_gemma":[0.00002592253,0.0001960845,0.00004830364,0.002305023,0.000398178,0.000286781,0.000004902936,0.0002657567,0.000005738583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136972,"about_ca_system_score_gemma":0.00007688821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002356889,"about_ca_topic_score_gemma":0.0001613528,"domain_scores_codex":[0.9981564,0.000008504486,0.0004985234,0.0004290856,0.000486989,0.0004205044],"domain_scores_gemma":[0.9992998,0.00002589549,0.00001949355,0.0001724228,0.00004688766,0.0004354976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001899698,0.0004402267,0.7240874,0.002269512,0.00007897426,0.001981014,0.01498877,0.03749195,0.03672967,0.1612485,0.0001187821,0.02037529],"study_design_scores_gemma":[0.001426373,0.0001747723,0.7670394,0.0001349895,0.0001021157,0.000034278,0.0003696373,0.2193451,0.009074778,0.0001615389,0.001354797,0.0007822773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9284629,0.0001607849,0.0594001,0.0001506819,0.0001478673,0.0003651789,0.00003356726,0.0003773769,0.01090154],"genre_scores_gemma":[0.9973473,0.00004211835,0.002332266,0.0001926864,0.00003025615,0.00002115195,0.00001315514,0.00001782792,0.000003240392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1818532,"threshold_uncertainty_score":0.7996095,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4292066131","doi":"10.1080/23249935.2022.2107729","title":"Planning delivery-by-drone micro-fulfilment centres","year":2022,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Advanced Education, Government of Alberta","keywords":"Drone; Urban sprawl; Knapsack problem; Benchmark (surveying); Computer science; Delivery system; Operations research; Environmental economics; Transport engineering; Simulation; Land use; Engineering; Economics; Civil engineering; Geography","authors":[{"name":"J. S. Lamb","is_ca":true},{"name":"S. C. Wirasinghe","is_ca":true},{"name":"Nigel Waters","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01159631990635344,"gpt":0.2182713286519315,"spread":0.2066750087455781,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000534525,0.0003006865,0.0002982848,0.0009442663,0.0008025077,0.00003763025,0.000784645,0.00004798425,0.001174373],"category_scores_gemma":[0.00000422367,0.0003458611,0.0001368294,0.006291364,0.0003325416,0.0004214928,0.000008554615,0.0004424397,0.00001627718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000280684,"about_ca_system_score_gemma":0.0001883823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007605232,"about_ca_topic_score_gemma":0.00001629433,"domain_scores_codex":[0.9967784,0.00001295937,0.0006790006,0.0005865591,0.001182562,0.0007604872],"domain_scores_gemma":[0.9990987,0.00003825829,0.0000650425,0.0004171409,0.0001025134,0.0002783756],"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":[0.0001502956,0.001160064,0.2020227,0.0002032593,0.0001877135,0.0002939447,0.00819155,0.4200329,0.3502111,0.004046206,0.004597945,0.008902276],"study_design_scores_gemma":[0.003046916,0.0003478823,0.5842185,0.00004242629,0.0002463978,0.00004640522,0.002057035,0.004451202,0.05750399,0.0001598959,0.3458966,0.001982723],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729189,0.0009000197,0.02015322,0.0001798876,0.000598654,0.0004966877,0.0009036566,0.0008338721,0.003015087],"genre_scores_gemma":[0.99726,0.00006889713,0.001605804,0.0002351758,0.00001758333,0.000149314,0.0004141346,0.00004254185,0.0002065919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4155817,"threshold_uncertainty_score":0.9998993,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3157896509","doi":"10.1080/23249935.2021.1921879","title":"Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model","year":2021,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Replicate; Scheduling (production processes); Travel behavior; Computer science; Sample (material); Econometric model; Survey data collection; Control (management); Travel time; Operations research; Econometrics; Transport engineering; Machine learning; Economics; Statistics; Engineering; Artificial intelligence; Operations management","authors":[{"name":"Mohammad Hesam Hafezi","is_ca":true},{"name":"Naznin Sultana Daisy","is_ca":true},{"name":"Hugh Millward","is_ca":true},{"name":"Lei Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06269025027966521,"gpt":0.3409729224428796,"spread":0.2782826721632145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001614175,0.0002021906,0.0003656467,0.0002083964,0.001651949,0.00004424884,0.0007498265,0.0001583352,0.00002645519],"category_scores_gemma":[0.0001610162,0.0001684797,0.0002169044,0.00276089,0.001743352,0.0005253205,0.000008604764,0.000173034,2.448161e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073108,"about_ca_system_score_gemma":0.004743196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007381798,"about_ca_topic_score_gemma":0.001360331,"domain_scores_codex":[0.997178,0.00002139913,0.0006298713,0.0006871473,0.0008647274,0.0006188657],"domain_scores_gemma":[0.9984059,0.0003053865,0.0001906911,0.0004145988,0.0004501149,0.0002332724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003217168,0.001492717,0.3681706,0.001095572,0.0001334487,0.000003524643,0.07265732,0.0006466265,0.01285068,0.5170459,0.00004257423,0.02553939],"study_design_scores_gemma":[0.001666872,0.00006836792,0.8301642,0.0002708893,0.0003594602,8.778206e-7,0.005046959,0.001589682,0.1038615,0.04510136,0.01092887,0.0009409822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4793609,0.0003120795,0.5181852,0.0006781869,0.0001699329,0.0008140742,0.0001461169,0.00003162747,0.0003019176],"genre_scores_gemma":[0.8326631,0.00005846287,0.1666148,0.0001195459,0.00003572312,0.0001454949,0.00002504617,0.00001567518,0.0003221695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4719445,"threshold_uncertainty_score":0.9996477,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394918817","doi":"10.1080/23249935.2024.2343048","title":"Cooperative lane-changing in mixed traffic: a deep reinforcement learning approach","year":2024,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic control and management","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Reinforcement learning; Reinforcement; Computer science; Artificial intelligence; Engineering; Structural engineering","authors":[{"name":"Yao Xue","is_ca":false},{"name":"Zhaocheng Du","is_ca":true},{"name":"Zhanbo Sun","is_ca":false},{"name":"Simeon C. Calvert","is_ca":false},{"name":"Ang Ji","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01023787380356706,"gpt":0.2076423329099559,"spread":0.1974044591063888,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009233774,0.0003373715,0.0003695745,0.002296017,0.0001675763,0.00009265407,0.0004442881,0.00007656818,0.00008128075],"category_scores_gemma":[0.00000917239,0.0003118422,0.0001377694,0.007970504,0.0001865296,0.0005275295,0.000008641964,0.0004797378,0.00002887801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115387,"about_ca_system_score_gemma":0.00009571097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002503533,"about_ca_topic_score_gemma":0.00009722678,"domain_scores_codex":[0.9971551,0.00001432152,0.0005376961,0.0006530824,0.000703315,0.0009364597],"domain_scores_gemma":[0.999455,0.00005106394,0.00002077665,0.0002307161,0.00004040877,0.0002020489],"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":[0.00001152403,0.00004536274,0.0002349184,0.0002287942,0.00003439638,0.0001881806,0.004365404,0.9632687,0.0005296332,0.002011712,0.000007304018,0.02907407],"study_design_scores_gemma":[0.0007343626,0.00008749445,0.01592731,0.0001179294,0.00007303557,0.00001124832,0.0007603889,0.9741581,0.0001866007,0.000008867523,0.007384181,0.0005504774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4607614,0.003111182,0.5086919,0.00008919715,0.0008540506,0.001108784,0.000008301061,0.00234123,0.02303393],"genre_scores_gemma":[0.9980047,0.0002990031,0.001070881,0.00002318267,0.00004252543,0.0001233507,0.00004410921,0.00004396436,0.0003482687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5372433,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3024677931","doi":"10.1080/23249935.2020.1769226","title":"Autonomous vehicle relocation problem in a parking facility","year":2020,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":15,"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":"","keywords":"Relocation; Transport engineering; Parking guidance and information; Arrival time; Computer science; Parking space; A priori and a posteriori; Engineering","authors":[{"name":"Sina Bahrami","is_ca":true},{"name":"Matthew J. Roorda","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03081702244627983,"gpt":0.2420581816467017,"spread":0.2112411592004219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001097556,0.0002408083,0.0003562393,0.0006892291,0.0001296724,0.00004297867,0.0007377111,0.000096795,0.00005881113],"category_scores_gemma":[0.000042908,0.00025481,0.00008681635,0.008676661,0.0002846754,0.0005701671,0.000008081383,0.0004323864,0.00007928165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002629867,"about_ca_system_score_gemma":0.0002636081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000166803,"about_ca_topic_score_gemma":0.00009050965,"domain_scores_codex":[0.9968238,0.00002458266,0.000681561,0.0006857236,0.0009895092,0.0007947695],"domain_scores_gemma":[0.9990647,0.00005581552,0.00004144016,0.0003515,0.00009132236,0.0003951676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008357367,0.000147665,0.7918529,0.000832598,0.00002626651,0.0002467144,0.01022332,0.10039,0.06839853,0.0003833639,0.00005225206,0.02736283],"study_design_scores_gemma":[0.0009729823,0.0001189729,0.8932287,0.00008357922,0.00001694744,0.000007092511,0.0001473575,0.08098313,0.01428515,0.00003747096,0.009493008,0.0006255737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760822,0.0002730585,0.01866125,0.0002948837,0.0001239269,0.0007201997,0.00003826771,0.0007197056,0.003086484],"genre_scores_gemma":[0.9983494,0.00003972807,0.001396357,0.00004671107,0.00003228144,0.00008195933,0.00001686051,0.00002480944,0.00001185784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1013758,"threshold_uncertainty_score":0.9999904,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3087210325","doi":"10.1080/23249935.2020.1826596","title":"Investigating the impact of correlation on system multimode reliability-based analysis of highway geometric design","year":2020,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Reliability (semiconductor); Failure mode and effects analysis; Truck; Random variable; Variable (mathematics); Reliability engineering; Engineering; Series (stratigraphy); Computer science; Statistics; Mathematics; Automotive engineering","authors":[{"name":"Gabriel Lanzaro","is_ca":true},{"name":"Rushdi Alsaleh","is_ca":true},{"name":"Tarek Sayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1213869044057885,"gpt":0.3321383196306403,"spread":0.2107514152248518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007152117,0.0003177252,0.00103857,0.003733816,0.0002536513,0.00003982067,0.002054516,0.0001182102,0.00006135898],"category_scores_gemma":[0.003480969,0.0001817129,0.0008064362,0.06965543,0.001186563,0.0003264679,0.0000115761,0.0003051847,0.000008831807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002325488,"about_ca_system_score_gemma":0.001033449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003734892,"about_ca_topic_score_gemma":0.00000282158,"domain_scores_codex":[0.9929923,0.0002079702,0.001853378,0.0009870883,0.003493607,0.0004656821],"domain_scores_gemma":[0.9923126,0.004393321,0.0008372142,0.001088757,0.0009520008,0.0004161099],"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":[0.00008124344,0.0001033828,0.07570045,0.0000366745,0.00008712532,0.000003373702,0.0007261163,0.920323,0.00161752,0.0006593115,0.00001201327,0.0006497885],"study_design_scores_gemma":[0.0003112677,0.000353133,0.3753639,0.00002681452,0.0003416378,2.885642e-7,0.00009393851,0.6216674,0.001652664,0.00004943655,0.000002802402,0.0001367629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3452411,0.00004268876,0.6538087,0.00007156158,0.00006320635,0.0004306549,0.0001105503,0.00007232487,0.0001592755],"genre_scores_gemma":[0.9786041,0.000002785052,0.02129766,0.00003320142,0.00001310236,0.00001578922,0.00001297099,0.00001506595,0.000005370807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.633363,"threshold_uncertainty_score":0.9501195,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385248752","doi":"10.1080/23249935.2023.2239377","title":"Graph convolutional networks with learnable spatial weightings for traffic forecasting applications","year":2023,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Transportation of Ontario","funders":"National Key Research and Development Program of China; Ministry of Transport of the People's Republic of China; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Weighting; Computer science; Convolutional neural network; Graph; Data mining; Artificial intelligence; Theoretical computer science","authors":[{"name":"Bi Yu Chen","is_ca":false},{"name":"Yaohong Ma","is_ca":false},{"name":"Jiale Wang","is_ca":false},{"name":"Tao Jia","is_ca":false},{"name":"Xianglong Liu","is_ca":true},{"name":"William H. K. Lam","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01520733030527753,"gpt":0.2067576769718012,"spread":0.1915503466665237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005707674,0.0002293347,0.0002286068,0.001062452,0.0004571203,0.00003352756,0.0004394086,0.00007739982,0.0000154544],"category_scores_gemma":[0.000005068946,0.0002164193,0.0001160195,0.006287077,0.0003688987,0.0003576473,0.000004631601,0.0001881173,0.000006765568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006346899,"about_ca_system_score_gemma":0.00007438108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001618712,"about_ca_topic_score_gemma":0.00006260014,"domain_scores_codex":[0.9979317,0.000003770465,0.0003684932,0.0004808005,0.000518885,0.0006963709],"domain_scores_gemma":[0.9993265,0.00006543942,0.00005325458,0.0002400997,0.0001194439,0.0001952086],"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":[0.0000520232,0.0000764016,0.002524293,0.0001806464,0.000055916,0.00001868958,0.0002112118,0.9472566,0.0003710066,0.003616569,0.001162185,0.04447448],"study_design_scores_gemma":[0.0007761362,0.0001407975,0.02791192,0.00004237944,0.00009410344,0.000008995398,0.00006683435,0.9477859,0.0003126503,0.00006103533,0.02236761,0.0004316555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03740573,0.00007045505,0.9520507,0.00006014611,0.0001610105,0.001100719,0.00006334869,0.007695135,0.001392737],"genre_scores_gemma":[0.9890409,0.0001613184,0.00958865,0.00003059692,0.00008209221,0.0007726371,0.0001679204,0.00004562021,0.0001103156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9516351,"threshold_uncertainty_score":0.8825324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4320485914","doi":"10.1080/23249935.2023.2174356","title":"Incorporating design consistency into risk-based geometric design of horizontal curves: a reliability-based optimization framework","year":2023,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University Canada West; University of British Columbia","funders":"","keywords":"Consistency (knowledge bases); Reliability (semiconductor); Geometric design; Computer science; Crash; Mathematical optimization; Reliability engineering; Engineering; Transport engineering; Mathematics","authors":[{"name":"Rushdi Alsaleh","is_ca":true},{"name":"Gabriel Lanzaro","is_ca":true},{"name":"Tarek Sayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08262073535516266,"gpt":0.3188862949113306,"spread":0.236265559556168,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02460356,0.0005682191,0.001140291,0.006453308,0.0007890007,0.0001057194,0.002726313,0.0003055615,0.0001687502],"category_scores_gemma":[0.01660671,0.0004663124,0.000424843,0.07027435,0.00210263,0.0008037567,0.0000265126,0.0006238676,0.00005431634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329342,"about_ca_system_score_gemma":0.003100069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001471368,"about_ca_topic_score_gemma":0.000004083665,"domain_scores_codex":[0.9888902,0.0004814678,0.002549843,0.001852236,0.005223674,0.001002627],"domain_scores_gemma":[0.9851468,0.009652838,0.00112563,0.001767543,0.001714713,0.0005924255],"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":[0.0001580779,0.0003041298,0.01955124,0.0001770998,0.0000132785,0.0000490249,0.0001984701,0.9769136,0.0003495226,0.0003318309,0.00007729702,0.001876405],"study_design_scores_gemma":[0.001084699,0.0009060897,0.02159783,0.0004807439,0.0001904214,0.000002842395,0.0001161807,0.9643717,0.00344747,0.007032654,0.00003152199,0.0007378918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0100352,0.0004661077,0.9865294,0.0002281971,0.0004461618,0.001565931,0.000105183,0.0005453428,0.0000784474],"genre_scores_gemma":[0.5884101,0.00008752795,0.4112703,0.00006544868,0.00001805206,0.00007976092,0.00002601425,0.00003241627,0.00001041789],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5783749,"threshold_uncertainty_score":0.9997789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313478045","doi":"10.1080/23249935.2022.2163206","title":"New data-driven approach to generate typologies of road segments","year":2023,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Typology; Taxis; Regression analysis; Computer science; Road traffic; Transport engineering; Machine learning; Artificial intelligence; Engineering; Geography","authors":[{"name":"Asad Yarahmadi","is_ca":true},{"name":"Catherine Morency","is_ca":true},{"name":"Martin Trépanier","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0636558584057177,"gpt":0.2776387168461736,"spread":0.2139828584404559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004843962,0.0002047411,0.000305519,0.000901416,0.0001300817,0.00001681281,0.001505068,0.00006829664,0.00004979877],"category_scores_gemma":[0.00001161882,0.0001816977,0.00005768824,0.009100845,0.0001453472,0.0004797907,0.00003050165,0.0001495712,0.00005974353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003341145,"about_ca_system_score_gemma":0.0001797687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001410548,"about_ca_topic_score_gemma":0.0000104733,"domain_scores_codex":[0.9978297,0.000004961523,0.0004251071,0.0005161166,0.0006468685,0.0005772455],"domain_scores_gemma":[0.9986894,0.00001645317,0.00003613883,0.0008358485,0.00005674491,0.0003654711],"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":[0.00005027761,0.000132932,0.04782135,0.0003242403,0.00007585868,0.00004062502,0.002820603,0.7616406,0.06358833,0.0003049283,0.003907336,0.1192929],"study_design_scores_gemma":[0.0005994223,0.0001079988,0.697282,0.00005495285,0.00006138146,0.000006406884,0.0001793259,0.2709698,0.02328463,0.000023625,0.006801367,0.0006291459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382942,0.0001565294,0.0532516,0.00005962704,0.0003620847,0.0003390846,0.0002915652,0.0006971945,0.006548079],"genre_scores_gemma":[0.9753112,0.0003571838,0.02380807,0.0000228907,0.00004155491,0.00001147383,0.0001536334,0.0000256203,0.0002683694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6494606,"threshold_uncertainty_score":0.7409419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2322628425","doi":"10.1080/23249935.2016.1166159","title":"The effect of time interval of bus location data on real-time bus arrival estimations","year":2016,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic Prediction and Management Techniques","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":"Real-time data; Real-time computing; Interval (graph theory); Computer science; Schedule; Arrival time; Estimation; Time horizon; Key (lock); Horizon; Data mining; Engineering; Mathematical optimization; Transport engineering; Mathematics","authors":[{"name":"Md. Matiur Rahman","is_ca":true},{"name":"S. C. Wirasinghe","is_ca":true},{"name":"Lina Kattan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01004903328086708,"gpt":0.2409914523361124,"spread":0.2309424190552453,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001175368,0.0001756098,0.0002677459,0.000496009,0.0001082594,0.00001015412,0.001195442,0.00005141423,0.00003239657],"category_scores_gemma":[0.00007038468,0.0001067467,0.00007393518,0.002168016,0.0005852026,0.0004283059,0.00001357184,0.00008209019,0.00002573321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005303905,"about_ca_system_score_gemma":0.00005095283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003022777,"about_ca_topic_score_gemma":0.000009426627,"domain_scores_codex":[0.9982321,0.00002057669,0.0005173461,0.0003293525,0.0006230003,0.0002775735],"domain_scores_gemma":[0.9985425,0.0002654632,0.0000998511,0.0009110896,0.00008729691,0.00009372727],"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":[0.0007432468,0.0004649558,0.01312621,0.0009122024,0.0003783131,0.0000318998,0.0007574745,0.02523666,0.4298846,0.005100386,0.00579042,0.5175736],"study_design_scores_gemma":[0.003406168,0.002764839,0.4833567,0.001243718,0.0006919521,0.00001173328,0.00002520348,0.1651731,0.335728,0.0001380083,0.006370435,0.00109006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5459248,0.0001183268,0.4401577,0.0002630135,0.0003783899,0.001146329,0.0004435977,0.002725773,0.008842128],"genre_scores_gemma":[0.9984208,0.0003049488,0.001094729,0.000003318663,0.00001353625,0.00002131474,0.00003430931,0.00001839663,0.00008862401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5164835,"threshold_uncertainty_score":0.4353004,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1835905298","doi":"10.1080/23249935.2015.1073405","title":"An econometric investigation on the relationship between modal accessibility and the home–work spatial configuration of two-commuter households","year":2015,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"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":"","keywords":"Work (physics); Central business district; Modal; Geography; Transport engineering; Land use; Mode choice; Spatial configuration; Business; Demographic economics; Economics; Public transport; Engineering; Civil engineering; Mathematics","authors":[{"name":"Saidal Akbari","is_ca":true},{"name":"Khandker Nurul Habib","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1418522865419125,"gpt":0.3314599819866137,"spread":0.1896076954447012,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01035264,0.0002664178,0.0004648344,0.0005419669,0.001313771,0.0001710177,0.001510554,0.0001509822,0.00005014022],"category_scores_gemma":[0.0005105343,0.0001671561,0.0001495891,0.007802594,0.00863796,0.001720611,0.000009808053,0.0004606014,0.000004470627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001589063,"about_ca_system_score_gemma":0.000971528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005259791,"about_ca_topic_score_gemma":0.001247685,"domain_scores_codex":[0.9958028,0.0004444527,0.0009334796,0.0007329449,0.001571786,0.000514556],"domain_scores_gemma":[0.9962186,0.001650872,0.0004266789,0.0008461423,0.0003600147,0.0004977588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001645913,0.00008191002,0.9668227,0.00001192581,0.000009021988,0.000001126543,0.00984826,0.0001187402,0.000008790943,0.02143936,0.000003792849,0.001489791],"study_design_scores_gemma":[0.001360078,0.0001042675,0.9806625,0.0000206221,0.00009887829,1.335447e-7,0.0005500001,0.00006735859,0.0004593012,0.0164126,0.0000451603,0.0002190518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865278,0.00009920454,0.00819975,0.002013741,0.0002008897,0.001060952,0.00006194346,0.0000982632,0.001737455],"genre_scores_gemma":[0.9993201,0.00001275587,0.0002221006,0.0001522951,0.0001511137,0.00004742082,0.00004671226,0.00001616182,0.00003135193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01383986,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3089367349","doi":"10.1080/23249935.2020.1831649","title":"Travel distance and land use: a generalized Box–Cox model with conditional spatial lag dependence","year":2020,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Econometrics; Lag; Autocorrelation; Spatial analysis; Spatial econometrics; Econometric model; Statistics; Sampling (signal processing); Spatial dependence; Field (mathematics); Mathematics; Computer science","authors":[{"name":"Jason Hawkins","is_ca":true},{"name":"Khandker Nurul Habib","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03891284272084007,"gpt":0.277525903643465,"spread":0.2386130609226249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007789655,0.0003921224,0.0005532622,0.0002644393,0.001225054,0.000187047,0.0008888346,0.0001526696,0.0001992436],"category_scores_gemma":[0.00006209698,0.00033913,0.0001360197,0.003536601,0.003451128,0.002205348,0.000009348511,0.0003822884,0.000005425058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008619818,"about_ca_system_score_gemma":0.001295077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004503553,"about_ca_topic_score_gemma":0.006557695,"domain_scores_codex":[0.9950037,0.00004739156,0.0005998093,0.001322306,0.002075471,0.0009513273],"domain_scores_gemma":[0.9980016,0.0001061792,0.0001843914,0.0003228167,0.0002926119,0.001092454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004829652,0.0001721123,0.979628,0.00006473417,0.00002560049,0.0001596688,0.00694357,0.00151014,0.0009974112,0.009310331,0.00001101422,0.0006944603],"study_design_scores_gemma":[0.001885792,0.0001739131,0.9866386,0.00003956906,0.000164835,0.000003434857,0.0003280759,0.006962615,0.0008253357,0.001176676,0.001019654,0.0007814784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6686969,0.000163907,0.3273385,0.001573176,0.00005496413,0.0005762737,0.0004473479,0.0001757873,0.0009731082],"genre_scores_gemma":[0.9921968,0.0001656207,0.006566523,0.0006058752,0.00009327944,0.00003917838,0.0000959907,0.00002917316,0.0002075712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3234999,"threshold_uncertainty_score":0.9999061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387541971","doi":"10.1080/23249935.2023.2266508","title":"Assessing transportation network redundancy by integrating route diversity and spare capacity","year":2023,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Spare part; Redundancy (engineering); Computer science; Flow network; Travel time; Measure (data warehouse); Operations research; Transport engineering; Data mining; Engineering; Mathematics; Operations management; Mathematical optimization","authors":[{"name":"Zijian Wang","is_ca":false},{"name":"Xiangdong Xu","is_ca":false},{"name":"Yuchuan Du","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05440404151494527,"gpt":0.3053206781107964,"spread":0.2509166365958512,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002727021,0.0003019475,0.000381606,0.0006316617,0.006976619,0.0001840137,0.0005796068,0.0001920856,0.00006915226],"category_scores_gemma":[0.00009123715,0.0003225101,0.0001239123,0.009692764,0.001443747,0.002647599,0.00001036046,0.000358222,0.000008527798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001472479,"about_ca_system_score_gemma":0.0003699364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005012109,"about_ca_topic_score_gemma":0.003580343,"domain_scores_codex":[0.9957846,0.00008231588,0.0006197076,0.0008924113,0.00157644,0.001044495],"domain_scores_gemma":[0.9985088,0.0001915407,0.0002411372,0.0002430625,0.0002989582,0.0005164928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002142801,0.00005397765,0.9460811,0.00004388417,0.00001747577,0.00004066527,0.03895746,0.004896604,0.0002529162,0.006275481,0.0002176671,0.003141354],"study_design_scores_gemma":[0.0004561916,0.00003934375,0.9894965,0.0000983141,0.00009756158,8.899416e-7,0.003989964,0.0005109848,0.0001085866,0.0005237836,0.004222732,0.00045514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628822,0.0001724327,0.03146419,0.0005602198,0.0004504486,0.0004534821,0.0001896138,0.0008955102,0.002931951],"genre_scores_gemma":[0.9941828,0.0004381782,0.004427472,0.0001133866,0.00008920823,0.00001898591,0.0004114765,0.00002590231,0.0002925824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04341542,"threshold_uncertainty_score":0.9999227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4384823741","doi":"10.1080/23249935.2023.2236235","title":"Exploring the joint impacts of income, car ownership, and built environment on daily activity patterns: a cluster analysis of trip chains","year":2023,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University; The Scarborough Hospital; University of Toronto","funders":"","keywords":"TRIPS architecture; Public transport; Equity (law); Business; Mode choice; Car ownership; Travel behavior; Destinations; Work (physics); Built environment; Household income; Transport engineering; Public economics; Economics; Geography; Tourism; Engineering","authors":[{"name":"Elnaz Yousefzadeh Barri","is_ca":false},{"name":"Steven Farber","is_ca":true},{"name":"Hadi Jahanshahi","is_ca":true},{"name":"Ignacio Tiznado-Aitken","is_ca":true},{"name":"Eda Beyazıt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1071140888525094,"gpt":0.3045983004793494,"spread":0.1974842116268399,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00425443,0.0003020194,0.0007989695,0.002189521,0.0006212712,0.00003336146,0.0009329235,0.00009333531,0.00009114921],"category_scores_gemma":[0.00008885727,0.0002151265,0.0004557946,0.01413898,0.002420612,0.0009006739,0.0000207816,0.0003042149,0.000002680757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363198,"about_ca_system_score_gemma":0.0003044887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008496458,"about_ca_topic_score_gemma":0.005891309,"domain_scores_codex":[0.9953418,0.0001217451,0.0008270462,0.0008325353,0.002071052,0.0008058337],"domain_scores_gemma":[0.9980141,0.0003511618,0.0003934451,0.0007541047,0.0001083313,0.000378862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001334282,0.00022738,0.974129,0.0001020978,0.0001772362,0.00001607119,0.01822709,0.0006699347,0.002498192,0.000291514,0.000001169203,0.00352685],"study_design_scores_gemma":[0.0004241391,0.0001351583,0.9920571,0.00005665053,0.0006061015,1.034887e-7,0.001357228,0.0002417349,0.004743443,0.00003603926,0.0001010854,0.0002411893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969184,0.00006419606,0.0009361837,0.0006452849,0.000138625,0.0006236963,0.0002512487,0.00008551819,0.0003368841],"genre_scores_gemma":[0.9987909,0.0009134632,0.00005078592,0.0000509542,0.00003156981,0.00005038464,0.00001945825,0.00001689667,0.0000755557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01792809,"threshold_uncertainty_score":0.9981061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901553425","doi":"10.1080/23249935.2018.1546780","title":"Penalization and augmented Lagrangian for O-D demand matrix estimation from transit segment counts","year":2018,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Augmented Lagrangian method; Matrix (chemical analysis); Quadratic equation; Mathematical optimization; Transit (satellite); Applied mathematics; Convergence (economics); Computer science; Mathematics; Public transport; Geometry; Engineering; Economics","authors":[{"name":"María Victoria Chávez Hernández","is_ca":false},{"name":"Lorenzo Héctor Juárez Valencia","is_ca":false},{"name":"Yasmin Rios Solis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01792189381049445,"gpt":0.314050242466595,"spread":0.2961283486561005,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007564682,0.0001380396,0.0001682014,0.0003545849,0.0008418955,0.00006299804,0.0002091453,0.00009434097,0.0003259067],"category_scores_gemma":[0.0000319586,0.0001407442,0.00005518354,0.001672539,0.0007233325,0.0004937748,0.000001030017,0.00005842618,0.00001779846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006012133,"about_ca_system_score_gemma":0.0002526052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004651215,"about_ca_topic_score_gemma":0.0005212261,"domain_scores_codex":[0.9982774,0.00002154554,0.0003150772,0.0004211984,0.0006294512,0.0003353296],"domain_scores_gemma":[0.999226,0.00007173526,0.00009635213,0.0001299597,0.0002788179,0.0001971029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002024694,0.001481588,0.4004351,0.0005981476,0.000400164,0.0000706013,0.2449282,0.03105105,0.01204661,0.1659496,0.002706352,0.1383078],"study_design_scores_gemma":[0.005310984,0.0006341556,0.8000711,0.0003159131,0.0009206496,0.000003679782,0.002408435,0.06142547,0.005224713,0.004511917,0.1174014,0.001771653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1330005,0.0002063908,0.8607027,0.0004553202,0.0003728209,0.0007048441,0.0002299429,0.0002130466,0.004114408],"genre_scores_gemma":[0.9786193,0.0001433323,0.02029265,0.00009277237,0.00009200806,0.00002401902,0.0002845579,0.00001419564,0.0004371655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8456188,"threshold_uncertainty_score":0.6475265,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400200314","doi":"10.1080/23249935.2024.2372025","title":"Jointly modelling activity start time, travel mode, companionship, and destination location choices","year":2024,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mode (computer interface); Mode choice; Interpersonal relationship; Travel time; Travel behavior; Computer science; Psychology; Transport engineering; Social psychology; Public transport; Engineering; Human–computer interaction","authors":[{"name":"Shivam Khaddar","is_ca":true},{"name":"Varun Varghese","is_ca":false},{"name":"Mahmudur Rahman Fatmi","is_ca":true},{"name":"Makoto Chikaraishi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04764251860152509,"gpt":0.3179977518595471,"spread":0.270355233258022,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002563142,0.0003290194,0.0004031116,0.001021324,0.00142205,0.0003141788,0.0006341904,0.0001717297,0.0001841406],"category_scores_gemma":[0.00004559639,0.0003201468,0.0001404511,0.007613011,0.002006471,0.003161686,0.000007022674,0.000433761,0.00002903308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002323589,"about_ca_system_score_gemma":0.001208199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004186051,"about_ca_topic_score_gemma":0.001496186,"domain_scores_codex":[0.9958104,0.00007100488,0.0005593764,0.001179451,0.001563926,0.0008158099],"domain_scores_gemma":[0.9984455,0.0002402848,0.0001084414,0.0003393044,0.000358865,0.0005076561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005353761,0.00218203,0.6930235,0.001947302,0.0001952825,0.0003113493,0.06969772,0.02517413,0.02825215,0.08402989,0.0001257647,0.09452548],"study_design_scores_gemma":[0.000477397,0.0001113193,0.8723071,0.0002685856,0.0002342342,0.000003184035,0.0004470615,0.1161029,0.002495924,0.003866542,0.002794426,0.0008914274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8212368,0.0008292141,0.1687931,0.000581683,0.0002808824,0.0006276896,0.00007546613,0.0004661575,0.007109007],"genre_scores_gemma":[0.9963107,0.00023257,0.00250713,0.00004382502,0.0001049594,0.0000324346,0.00004206493,0.00002933907,0.0006969541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1792835,"threshold_uncertainty_score":0.9999251,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3094072952","doi":"10.1080/23249935.2020.1840655","title":"Walking duration in daily travel: an analysis among males and females using a hazard-based model","year":2020,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","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 Ottawa","funders":"","keywords":"Duration (music); Demography; Hazard model; Hazard; Hazard ratio; Proportional hazards model; Poison control; Injury prevention; TRIPS architecture; Travel behavior; Psychology; Geography; Medicine; Environmental health; Demographic economics; Transport engineering; Statistics; Confidence interval; Economics; Engineering; Mathematics; Sociology","authors":[{"name":"Seyed Ahmad Reza Saeidi Hosseini","is_ca":true},{"name":"Yaser Hatamzadeh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07599467394013346,"gpt":0.3239740728764246,"spread":0.2479793989362911,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002167533,0.0003457408,0.0006756858,0.001461719,0.000902937,0.0001699745,0.0008597938,0.0001867504,0.00008681999],"category_scores_gemma":[0.00006303685,0.0003522875,0.0002484823,0.01404588,0.002206374,0.002583254,0.000006187008,0.0003222321,9.38443e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001590484,"about_ca_system_score_gemma":0.001016296,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003985318,"about_ca_topic_score_gemma":0.0458039,"domain_scores_codex":[0.995287,0.00009704807,0.0009313577,0.001341305,0.001459651,0.0008836478],"domain_scores_gemma":[0.9983138,0.00007444633,0.0002357742,0.0003545569,0.0001919872,0.0008294144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007900575,0.0001453501,0.9586629,0.00004422228,0.00002033466,0.00005356907,0.0132283,0.02523545,0.00167433,0.0004405101,1.615893e-7,0.0004158727],"study_design_scores_gemma":[0.0004217605,0.00004125006,0.7576205,0.00001931612,0.0003068467,1.149309e-7,0.001161299,0.2395409,0.000435682,0.00009081465,0.00001025648,0.0003512709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048453,0.0001246378,0.09344327,0.0004252392,0.00003904217,0.000488304,0.00005817175,0.0001489204,0.0004271129],"genre_scores_gemma":[0.9924797,0.00005172707,0.007083547,0.0002330434,0.00004839536,0.00001590334,0.00004997682,0.00002369479,0.00001403664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2143054,"threshold_uncertainty_score":0.9998929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4225277755","doi":"10.1080/23249935.2022.2056655","title":"Transfer time optimisation in public transit networks: assessment of alternative models","year":2022,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Ontario Centres of Excellence","keywords":"Headway; Public transport; Transfer (computing); Computer science; Node (physics); Transfer function; Transit (satellite); Function (biology); Operations research; Transport engineering; Simulation; Engineering","authors":[{"name":"Zahra Ansarilari","is_ca":true},{"name":"Mahmood Mahmoodi Nesheli","is_ca":true},{"name":"Merve Bodur","is_ca":true},{"name":"Amer Shalaby","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04010991390471239,"gpt":0.3008145584188826,"spread":0.2607046445141702,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003724391,0.0002456366,0.0004539399,0.001393971,0.001019186,0.00003837267,0.0009980983,0.00009089233,0.001040993],"category_scores_gemma":[0.00001444027,0.0002571686,0.0001883913,0.009971591,0.0007238387,0.00183059,0.000005401408,0.000445583,9.376719e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004271822,"about_ca_system_score_gemma":0.001251496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00172892,"about_ca_topic_score_gemma":0.0008177259,"domain_scores_codex":[0.9949919,0.0002187275,0.0009259888,0.0007211247,0.002365456,0.0007768245],"domain_scores_gemma":[0.9988307,0.0001727435,0.0001654482,0.0002443073,0.0002945726,0.0002922192],"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":[0.00005871224,0.0004139474,0.02624317,0.00001165847,0.00001634361,0.00002769321,0.01044971,0.9304505,0.000462301,0.02994202,0.000003416545,0.001920519],"study_design_scores_gemma":[0.003652369,0.000568182,0.3416401,0.00007622181,0.0001883454,0.000005674807,0.006261328,0.6403614,0.0003382958,0.001668883,0.003888544,0.001350614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.626569,0.0001469198,0.3574339,0.001118362,0.0003539417,0.001219681,0.0002944066,0.0002208527,0.01264292],"genre_scores_gemma":[0.9959104,0.0001989195,0.003173553,0.0001192405,0.00003260386,0.0001339674,0.0002776197,0.00001809197,0.0001356179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3693414,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405363266","doi":"10.1080/23249935.2024.2438314","title":"Predicting freeway non-recurring congestion via a spatio-temporal deep learning approach","year":2024,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":5,"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":"Interpretability; Computer science; Crash; Deep learning; Artificial intelligence; Machine learning; Sequence (biology); Encoder; Traffic congestion; Data mining","authors":[{"name":"Jing Li","is_ca":true},{"name":"Hao Yang","is_ca":true},{"name":"Saiedeh Razavi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0087683140509172,"gpt":0.214590790655706,"spread":0.2058224766047889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009435081,0.0003423369,0.0003002388,0.001525656,0.0002915912,0.0001278487,0.0005202112,0.0001305113,0.00004173851],"category_scores_gemma":[0.00001266834,0.0003481523,0.0001611404,0.004883576,0.0002881166,0.001103371,0.00001060004,0.0006305578,0.00002064103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173394,"about_ca_system_score_gemma":0.00006439255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000998417,"about_ca_topic_score_gemma":0.00006342946,"domain_scores_codex":[0.997221,0.0000128459,0.000558252,0.0007146001,0.0008349587,0.0006583795],"domain_scores_gemma":[0.9993041,0.00003684819,0.00004249462,0.0002837491,0.00006897758,0.0002638276],"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":[0.00006204924,0.0003110873,0.1521261,0.002508319,0.0002687128,0.0004109098,0.008207452,0.4937907,0.008718719,0.003235077,0.0003885633,0.3299723],"study_design_scores_gemma":[0.0002484959,0.00009191759,0.06133211,0.0001545367,0.0001086317,0.00002074542,0.00008853689,0.9305789,0.001319786,0.00003586247,0.005562278,0.0004582134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1579698,0.000660184,0.8174258,0.00002614582,0.000679414,0.0004847507,0.00001301377,0.01195165,0.01078923],"genre_scores_gemma":[0.9901943,0.0002746612,0.009078206,0.00001589363,0.00009877051,0.0001082856,0.0001052866,0.00006601768,0.00005855882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8322245,"threshold_uncertainty_score":0.9998971,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386935174","doi":"10.1080/23249935.2023.2258996","title":"Optimal vehicle capacity and dispatching policy considering crowding in public bus transit services","year":2023,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Public transport; Crowding; Transport engineering; Transit (satellite); Business; Bus rapid transit; Computer science; Engineering","authors":[{"name":"Reza Mahmoudi","is_ca":true},{"name":"Saeid Saidi","is_ca":true},{"name":"S. C. Wirasinghe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04108621947447248,"gpt":0.2971710170883703,"spread":0.2560847976138978,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002369708,0.000256092,0.0003545581,0.002498257,0.001352753,0.0001930318,0.0005439206,0.000151648,0.00003865966],"category_scores_gemma":[0.00008606464,0.0002806952,0.00008893231,0.01386906,0.001147437,0.001870475,0.00000678972,0.0003202581,0.000009887347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001507774,"about_ca_system_score_gemma":0.0007056645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009793496,"about_ca_topic_score_gemma":0.00973187,"domain_scores_codex":[0.9962921,0.00006542832,0.0005897302,0.0007772713,0.001136307,0.001139126],"domain_scores_gemma":[0.998813,0.000186324,0.0001190835,0.0002204332,0.0001554849,0.0005057173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000372276,0.00009384975,0.8635662,0.000136807,0.0000139941,0.0001451053,0.08193415,0.03316759,0.001688328,0.01553705,0.000002117373,0.003677652],"study_design_scores_gemma":[0.0007363779,0.00003238185,0.9868187,0.0001074297,0.00002546515,0.00000322896,0.004803231,0.004633033,0.000256057,0.0003146285,0.001837592,0.0004318167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903523,0.00008369657,0.004180569,0.002230006,0.000152527,0.0003579356,0.00005354148,0.0005524038,0.002037011],"genre_scores_gemma":[0.9966136,0.0004666794,0.002555496,0.0001354545,0.00006100854,0.00002528857,0.00004460605,0.00002545069,0.00007246246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1232526,"threshold_uncertainty_score":0.9999645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403706101","doi":"10.1080/23249935.2024.2418458","title":"Transferability of real-time EVT safety models: an investigation using autonomous vehicles data","year":2024,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Transferability; Computer science; Machine learning","authors":[{"name":"Ahmed Kamel","is_ca":true},{"name":"Tarek Sayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05622611674250936,"gpt":0.2669560471723201,"spread":0.2107299304298107,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001701133,0.0003546909,0.0005206139,0.0007782103,0.0002084206,0.00004181657,0.001320241,0.0001635506,0.00007178874],"category_scores_gemma":[0.000006180165,0.0003347424,0.0001385154,0.004888053,0.0009377742,0.002747266,0.00001079174,0.0003156281,0.000006808579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851472,"about_ca_system_score_gemma":0.0006926074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003881067,"about_ca_topic_score_gemma":0.00006950001,"domain_scores_codex":[0.9965112,0.00003127286,0.0009799828,0.00100942,0.0008699811,0.0005981203],"domain_scores_gemma":[0.998206,0.00008799531,0.00003915499,0.001175498,0.0001042612,0.0003871443],"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":[0.00008976831,0.0001876994,0.006155001,0.0009319094,0.00009601282,0.00007086765,0.005977971,0.8530282,0.100008,0.003608326,0.000009580694,0.02983665],"study_design_scores_gemma":[0.0002517047,0.00006389177,0.09017933,0.0001229574,0.0001781573,0.00001208684,0.00006519373,0.9043007,0.003786293,0.0004843262,0.0001277939,0.0004275261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8879959,0.0006257173,0.1074285,0.00004049926,0.0002855885,0.0003824198,0.000920834,0.001214628,0.001105939],"genre_scores_gemma":[0.985032,0.0005110968,0.01402111,0.000007545013,0.00004604122,0.000005385572,0.0003009315,0.00005935034,0.00001652385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09703612,"threshold_uncertainty_score":0.9999105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403638580","doi":"10.1080/23249935.2024.2406009","title":"Partially constrained temporal modelling injury severity of crashes caused by risk-taking behaviours","year":2024,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"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":"Natural Science Foundation of Tibet Autonomous Region; National Natural Science Foundation of China","keywords":"Computer science","authors":[{"name":"Ping Zhang","is_ca":false},{"name":"Chenzhu Wang","is_ca":false},{"name":"Chun Feng","is_ca":false},{"name":"Said M. Easa","is_ca":true},{"name":"Arshad Jamal","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01532045388845621,"gpt":0.2354204568780788,"spread":0.2201000029896226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000908152,0.0003875001,0.0005087326,0.0006958799,0.0002221607,0.00004553293,0.000579112,0.0001701836,0.0001177327],"category_scores_gemma":[0.00001239838,0.0003647197,0.0002633166,0.004124086,0.0008975812,0.0006201894,0.00000549316,0.0005259883,0.000006633104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000947411,"about_ca_system_score_gemma":0.0003480332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004494538,"about_ca_topic_score_gemma":0.0001316738,"domain_scores_codex":[0.9967974,0.00001769966,0.0008600774,0.0006677281,0.0009141262,0.0007429349],"domain_scores_gemma":[0.9989811,0.00007753701,0.000152685,0.0003704913,0.00009277742,0.0003254335],"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":[0.0001009675,0.0003711117,0.4313507,0.0007640232,0.0002387906,0.000313682,0.0043995,0.5095671,0.01382053,0.001050823,0.0002164801,0.03780626],"study_design_scores_gemma":[0.001023158,0.0002935251,0.5162975,0.0004852174,0.0007618353,0.00001966828,0.0002358986,0.439995,0.03611807,0.0001830348,0.002769782,0.001817277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7670106,0.001069108,0.2286328,0.0000265624,0.0004730575,0.0002673447,0.000952043,0.0008843059,0.0006842135],"genre_scores_gemma":[0.9966764,0.0004473119,0.002650507,0.000008621321,0.00003499502,0.00001537375,0.00007568366,0.0000582074,0.00003293341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2296658,"threshold_uncertainty_score":0.9998805,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408455414","doi":"10.1080/23249935.2025.2473628","title":"Modelling the impact of risky cut-in and cut-out manoeuvers on traffic platooning safety with predictability and explainability","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":4,"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":"Fundamental Research Funds for the Central Universities; Shanghai Rising-Star Program; National Natural Science Foundation of China","keywords":"Predictability; Cut-off; Engineering; Mathematics; Statistics","authors":[{"name":"Qiangqiang Shangguan","is_ca":false},{"name":"Junhua Wang","is_ca":false},{"name":"Cailin Lei","is_ca":false},{"name":"Ting Fu","is_ca":false},{"name":"Shouen Fang","is_ca":false},{"name":"Liping Fu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008664939704928813,"gpt":0.2286099116014427,"spread":0.2199449718965139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001163661,0.0002813925,0.0004398807,0.000612243,0.0002614289,0.00001111071,0.000381256,0.000149266,0.000006841329],"category_scores_gemma":[0.00001599752,0.0001942769,0.00008541768,0.002535691,0.001638867,0.0002824683,0.000008345925,0.0005265407,2.435149e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949378,"about_ca_system_score_gemma":0.0002104172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002294073,"about_ca_topic_score_gemma":0.0002315061,"domain_scores_codex":[0.9980994,0.00002117357,0.0005263197,0.0005673401,0.0002950566,0.000490658],"domain_scores_gemma":[0.9991079,0.0002177469,0.00005704427,0.0004628917,0.00005005798,0.0001043494],"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":[0.0002669837,0.00007456666,0.2524193,0.0001066145,0.00003075652,0.00001312129,0.002017649,0.7416593,0.00006446541,0.0004689063,4.762148e-7,0.002877871],"study_design_scores_gemma":[0.0008351321,0.000206355,0.6892256,0.00009862278,0.00004610134,0.000005358235,0.0003336243,0.3079093,0.0008687553,0.0002407679,0.00001371664,0.0002167475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726961,0.0002815365,0.02525429,0.00005543352,0.00003603621,0.000524159,0.0000476547,0.000202368,0.0009023653],"genre_scores_gemma":[0.9992124,0.0003202469,0.0004139018,0.000006228169,0.000002736211,0.00002100009,0.000003114247,0.00001328722,0.000007081016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4368062,"threshold_uncertainty_score":0.7922381,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321089587","doi":"10.1080/23249935.2023.2178240","title":"Formulation and solution method of bounded path size stochastic user equilibrium models – consistently addressing route overlap and unrealistic routes","year":2023,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Bounded function; Uniqueness; Robustness (evolution); Computation; Path (computing); Computer science; Mathematical optimization; Set (abstract data type); Mathematics; Algorithm","authors":[{"name":"Lawrence Christopher Duncan","is_ca":false},{"name":"David Watling","is_ca":false},{"name":"Richard D. Connors","is_ca":false},{"name":"Thomas Kjær Rasmussen","is_ca":false},{"name":"Otto Anker Nielsen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0628842251296359,"gpt":0.3357214546501627,"spread":0.2728372295205268,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002089372,0.0002213024,0.0003818835,0.0006569831,0.0007530932,0.0001011354,0.0002403184,0.0001430872,0.00001015763],"category_scores_gemma":[0.0001830763,0.0002277675,0.00008558021,0.004022273,0.0009913096,0.001401324,0.000009369832,0.000147964,6.698879e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007088661,"about_ca_system_score_gemma":0.000498572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161017,"about_ca_topic_score_gemma":0.0004922547,"domain_scores_codex":[0.9970161,0.00007513116,0.000622233,0.0006261478,0.001083101,0.0005772447],"domain_scores_gemma":[0.998361,0.000544995,0.000267489,0.000200778,0.0003222105,0.0003035112],"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":[0.000446558,0.0002431098,0.2575329,0.0005016347,0.00009328305,0.0000504969,0.06800605,0.4105674,0.01098342,0.2442385,0.00001088374,0.007325767],"study_design_scores_gemma":[0.001170009,0.0001043578,0.8080746,0.0002055628,0.0002739032,0.000004332003,0.001856747,0.1770662,0.000243818,0.01048009,0.00004199111,0.0004784322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6198814,0.00009518504,0.3784894,0.0002329609,0.0001157124,0.0004051309,0.0001350283,0.0002278161,0.0004174019],"genre_scores_gemma":[0.9757583,0.0001089923,0.0238369,0.00003604503,0.00002058494,0.00001835219,0.00009679878,0.00001886269,0.0001052237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5505417,"threshold_uncertainty_score":0.9288089,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401995522","doi":"10.1080/23249935.2024.2396951","title":"Predicting metro incident duration using structured data and unstructured text logs","year":2024,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic Prediction and Management Techniques","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":"McGill University","funders":"Natural Science Basic Research Program of Shaanxi Province; National Natural Science Foundation of China","keywords":"Unstructured data; Duration (music); Computer science; Data mining; Big data; Physics","authors":[{"name":"Yangyang Zhao","is_ca":false},{"name":"Zhenliang Ma","is_ca":false},{"name":"Hui Peng","is_ca":false},{"name":"Zhanhong Cheng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02194726248391593,"gpt":0.2602541607326628,"spread":0.2383068982487468,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000583311,0.0002753987,0.000247152,0.001271795,0.0002173378,0.0001600357,0.0007077887,0.0001005075,0.00002718718],"category_scores_gemma":[0.00001993648,0.0002571006,0.00005236208,0.003748185,0.0003351862,0.001552911,0.00002958679,0.0002957775,0.00000183028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273267,"about_ca_system_score_gemma":0.0001025483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006234136,"about_ca_topic_score_gemma":0.0001252678,"domain_scores_codex":[0.9975652,0.000009592643,0.0005322935,0.0007513339,0.0007047775,0.0004368043],"domain_scores_gemma":[0.9991122,0.00003260838,0.00004083672,0.0005663648,0.00004653407,0.0002013892],"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":[0.0001181886,0.0001485425,0.2654779,0.003396745,0.0007093261,0.001146388,0.007330532,0.03819463,0.2881444,0.0125452,0.001160597,0.3816276],"study_design_scores_gemma":[0.0003047477,0.00004578473,0.2067252,0.0001030069,0.0002600137,0.00006919426,0.0001642451,0.7837158,0.004540483,0.0001435569,0.003468645,0.0004592712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6647649,0.001285068,0.3267581,0.00005114689,0.0008070527,0.0003999524,0.0002122978,0.005072013,0.0006494397],"genre_scores_gemma":[0.9893464,0.0003793323,0.01001163,0.00002254099,0.0000731239,0.000009303356,0.0001095819,0.0000396234,0.000008405786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7455212,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412089031","doi":"10.1080/23249935.2025.2528055","title":"A strategic framework for road safety analysis in the connected and autonomous vehicle era","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":2,"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":"Business; Transport engineering; Process management; Computer science; Engineering","authors":[{"name":"Abdul Basith Siddiqui","is_ca":true},{"name":"Mohamed Hussein","is_ca":true},{"name":"Hao Yang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0117369479224343,"gpt":0.2479601584483703,"spread":0.236223210525936,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001093775,0.0002510271,0.0004662033,0.001516319,0.0003415521,0.00003468813,0.000772854,0.0002340825,0.00002733856],"category_scores_gemma":[0.00002886987,0.0002065314,0.000162761,0.01353661,0.0006477988,0.0002054779,0.000005766929,0.0005251077,0.000001431822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009659533,"about_ca_system_score_gemma":0.0001948366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008484186,"about_ca_topic_score_gemma":0.0003994797,"domain_scores_codex":[0.9980168,0.00001836664,0.0005637216,0.0005452628,0.0002534848,0.0006023145],"domain_scores_gemma":[0.9990321,0.0002872222,0.00004453009,0.0004959855,0.00005973811,0.00008044884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003387568,0.0004426363,0.3051316,0.0003430095,0.0007786496,0.0001285487,0.004968086,0.06379762,0.001811127,0.5699826,0.000008650016,0.05226871],"study_design_scores_gemma":[0.0006262606,0.00005861245,0.9336208,0.00002509345,0.000382618,0.000002466778,0.0003468209,0.05328743,0.0004534806,0.01055228,0.000363782,0.0002803617],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8388479,0.0007144308,0.1566843,0.000577917,0.00008935906,0.0006251235,0.00008809363,0.0004007623,0.001972123],"genre_scores_gemma":[0.9950123,0.0001742701,0.004494991,0.0001590075,0.00000795187,0.00009603454,0.00002547008,0.00001258297,0.00001740209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6284893,"threshold_uncertainty_score":0.8422105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405244688","doi":"10.1080/23249935.2024.2438307","title":"Developing CUSTOM framework: explore telecommuting-induced activity-travel demands with mode choice","year":2024,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommuting; Computer science; Work (physics); Travel behavior; Mode choice; Predictability; Mode (computer interface); Scheduling (production processes); Journey to work; Operations research; Econometrics; Transport engineering; Economics; Operations management; Engineering; Human–computer interaction; Public transport","authors":[{"name":"Kaili Wang","is_ca":true},{"name":"Sk. Md. Mashrur","is_ca":true},{"name":"Khandker Nurul Habib","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06609534214874034,"gpt":0.2829369695781594,"spread":0.2168416274294191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005688373,0.0007351682,0.0006914538,0.001512277,0.0004492598,0.0002213346,0.001224695,0.0003090197,0.00007766338],"category_scores_gemma":[0.00002406022,0.0006325577,0.0002206251,0.009201487,0.0006427203,0.001857937,0.000009087398,0.001278552,0.00003525995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003637017,"about_ca_system_score_gemma":0.0006502125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001423292,"about_ca_topic_score_gemma":0.0002240194,"domain_scores_codex":[0.9953514,0.00001381971,0.0006886949,0.00114089,0.001308864,0.001496371],"domain_scores_gemma":[0.9982226,0.0002622447,0.00005444475,0.0007732481,0.0001550392,0.0005323633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007011764,0.001558745,0.2671926,0.009875807,0.002218094,0.01010543,0.03299085,0.1150711,0.1451256,0.2929951,0.0002368111,0.1219287],"study_design_scores_gemma":[0.002168406,0.0008119895,0.7330884,0.002835128,0.001251694,0.0002610569,0.0005392482,0.09304622,0.1410622,0.002319952,0.01630682,0.006308849],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4370886,0.0005436384,0.5566878,0.0001112836,0.0005517424,0.0003420154,0.0000623712,0.001369945,0.003242587],"genre_scores_gemma":[0.9785646,0.0004382908,0.02041541,0.0000723714,0.000153801,0.00007654839,0.00004299539,0.0001607084,0.0000753364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.541476,"threshold_uncertainty_score":0.9996126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4417121949","doi":"10.1080/23249935.2025.2599392","title":"Modelling the stochastic charging behaviour of electric vehicles: a validated framework with user charging data","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Discovery Eye Foundation","keywords":"Measure (data warehouse); Stochastic process; Noise (video); Stochastic modelling; Work (physics)","authors":[{"name":"Elham Soufiani","is_ca":true},{"name":"Eman Almehdawe","is_ca":true},{"name":"Yili Tang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0160449505475757,"gpt":0.2348696077907127,"spread":0.218824657243137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008295369,0.0003804987,0.0004844058,0.001105141,0.0003917332,0.00005721752,0.002202366,0.0001429586,0.00003020425],"category_scores_gemma":[0.0000207709,0.0002727082,0.00009219605,0.01361979,0.0003433563,0.0006417333,0.00002258203,0.0008030298,0.000001910967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001053496,"about_ca_system_score_gemma":0.0003784802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001674103,"about_ca_topic_score_gemma":0.00000833484,"domain_scores_codex":[0.9968094,0.0000165219,0.0006537223,0.000730416,0.0009105265,0.0008793986],"domain_scores_gemma":[0.9981256,0.0001654412,0.0001142132,0.001257314,0.0001865602,0.0001509113],"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":[0.0000648216,0.00007297221,0.01587618,0.0001607407,0.0001051018,0.00002170244,0.0009066073,0.9699996,0.007456768,0.002782345,0.00002155047,0.002531667],"study_design_scores_gemma":[0.0007264338,0.0001050318,0.03015575,0.0004619248,0.0004616109,0.00001762893,0.0001653855,0.9497293,0.01685739,0.0004666373,0.0002557671,0.0005972052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4576959,0.0007890591,0.5406331,0.00006239997,0.00008570096,0.0003305671,0.0000521291,0.0001877175,0.0001633973],"genre_scores_gemma":[0.9925821,0.0001798505,0.007006166,0.00006223073,0.00003150778,0.00002254424,0.00004148314,0.00004617265,0.00002788135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5348863,"threshold_uncertainty_score":0.9999725,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410125462","doi":"10.1080/23249935.2025.2495125","title":"Real-time crash risk estimation with autonomous vehicle data: a comparative analysis of extreme value models","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Crash; Extreme value theory; Estimation; Statistics; Value (mathematics); Motor vehicle crash; Computer science; Econometrics; Mathematics; Engineering; Poison control; Human factors and ergonomics; Medicine","authors":[{"name":"Ahmed Kamel","is_ca":true},{"name":"Tarek Sayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03043240760093741,"gpt":0.2592627987932552,"spread":0.2288303911923178,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007137378,0.0002931313,0.0007638363,0.001844135,0.0002170607,0.00002114366,0.001009786,0.00008807227,0.00003991938],"category_scores_gemma":[0.000006318011,0.0002504862,0.00014446,0.01558861,0.0005780822,0.0009247733,0.00001179255,0.0002163481,0.000004552361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001117702,"about_ca_system_score_gemma":0.0003344452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004261649,"about_ca_topic_score_gemma":0.000221788,"domain_scores_codex":[0.9974284,0.00002185512,0.0006858891,0.0007103728,0.0006973078,0.0004561884],"domain_scores_gemma":[0.9984412,0.0001227656,0.0001277571,0.0009933392,0.0001521312,0.0001627893],"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":[0.00005082937,0.0001201421,0.0198141,0.00004936994,0.0005364707,0.000009255413,0.001045887,0.973741,0.001026029,0.001151822,0.00001253498,0.002442544],"study_design_scores_gemma":[0.0003237854,0.00003287382,0.3738225,0.00002737756,0.001387869,4.056564e-7,0.00003915044,0.6235872,0.0005236019,0.00004922103,0.00003085976,0.0001750949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5972443,0.000121057,0.3942002,0.00001623864,0.00005286247,0.0002946624,0.0005231368,0.0003613358,0.007186239],"genre_scores_gemma":[0.9741709,0.0002251998,0.0252441,0.000006062055,0.000005181686,0.00001375339,0.0002444525,0.00001401763,0.00007638938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3769266,"threshold_uncertainty_score":0.9999948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414059739","doi":"10.1080/23249935.2025.2552982","title":"Beyond traditional models: a discrete choice approach to vehicle interaction modelling at roundabouts","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic control and management","field":"Engineering","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":"","keywords":"Roundabout; Intersection (aeronautics); Mode choice; Discrete choice; Set (abstract data type)","authors":[{"name":"Rulla Al-Haideri","is_ca":true},{"name":"Karim Ismail","is_ca":true},{"name":"Adam Weiss","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03083856129181477,"gpt":0.2266733036794784,"spread":0.1958347423876637,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003664844,0.0003090884,0.0003319324,0.001153712,0.00035078,0.00006962028,0.0006148847,0.00007303207,0.00002763743],"category_scores_gemma":[0.000004540679,0.0003098866,0.0001691557,0.004258474,0.0001600876,0.0009289552,0.00001257125,0.0002428259,0.0000142098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004051956,"about_ca_system_score_gemma":0.0001083654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001061275,"about_ca_topic_score_gemma":0.00008028653,"domain_scores_codex":[0.9973802,0.000008154893,0.0005068388,0.000715346,0.0007376096,0.0006518412],"domain_scores_gemma":[0.9991543,0.00005995212,0.00003350513,0.0003832929,0.00008007127,0.0002889348],"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":[0.00004700359,0.0001204623,0.0003536734,0.00009100162,0.00004279814,0.000005156541,0.0005521612,0.9713001,0.0007267362,0.02330852,0.00005436274,0.00339799],"study_design_scores_gemma":[0.0008132677,0.0000406324,0.03035704,0.00005857228,0.0001186939,0.000002505714,0.0000761252,0.9585723,0.0003011669,0.001435095,0.007786004,0.0004385833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1992277,0.0002672375,0.7208201,0.0001398175,0.0005026907,0.000565434,0.00006586308,0.0005465183,0.07786467],"genre_scores_gemma":[0.9926102,0.00007266913,0.006368261,0.0001887658,0.00004716521,0.0001535583,0.00006035177,0.00002734722,0.000471706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7933825,"threshold_uncertainty_score":0.9999353,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411427975","doi":"10.1080/23249935.2025.2517306","title":"Traffic state estimation and prediction based on Bayesian approach in urban road networks using AVI and floating vehicle data","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"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":"National Natural Science Foundation of China","keywords":"Estimation; Computer science; State (computer science); Bayesian probability; Bayesian network; Data mining; Transport engineering; Artificial intelligence; Engineering; Algorithm","authors":[{"name":"Jianhua Song","is_ca":false},{"name":"Bruce Hellinga","is_ca":true},{"name":"Gang Ren","is_ca":false},{"name":"Jian Yuan","is_ca":false},{"name":"Qi Cao","is_ca":false},{"name":"Jingfeng Ma","is_ca":false},{"name":"Yue Deng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01505371508439936,"gpt":0.235778192298512,"spread":0.2207244772141127,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008397856,0.0002018613,0.000216097,0.001222225,0.0001741835,0.0000564131,0.0003141953,0.0000755752,0.000001502218],"category_scores_gemma":[0.00001021171,0.0002142998,0.00002205159,0.003126731,0.000210175,0.0006571712,0.00001082076,0.0002447916,1.009257e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000868023,"about_ca_system_score_gemma":0.00005430323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004941873,"about_ca_topic_score_gemma":0.00002995109,"domain_scores_codex":[0.9983169,0.00001614268,0.0004079836,0.0005859205,0.0003259088,0.0003471264],"domain_scores_gemma":[0.9994158,0.00003096119,0.00003741549,0.0003838743,0.00002165965,0.0001102883],"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":[0.00002216379,0.00006667246,0.01916547,0.0001233211,0.000007408145,0.00000617023,0.0002035132,0.905449,0.0001554876,0.00006973738,0.00002541132,0.07470568],"study_design_scores_gemma":[0.0004357603,0.00002792631,0.2108727,0.00009679362,0.00003348244,8.12809e-7,0.00002469475,0.7882785,0.00005118344,0.000005159158,0.00004353694,0.0001295265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3214628,0.0001494837,0.6764463,0.00001829877,0.00008692666,0.000373848,0.00003691537,0.0009442032,0.0004811739],"genre_scores_gemma":[0.9835916,0.0001312462,0.01610215,0.00004501975,0.000008301195,0.00001401489,0.00008684453,0.00001685047,0.000004001471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6621287,"threshold_uncertainty_score":0.8738892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407845412","doi":"10.1080/23249935.2025.2466471","title":"A random parameter bivariate approach for modelling freeway crash frequency by severity level","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Bivariate analysis; Crash; Statistics; Environmental science; Econometrics; Mathematics; Computer science","authors":[{"name":"Weiwei Qi","is_ca":false},{"name":"Shuolei Qin","is_ca":false},{"name":"Shufang Zhu","is_ca":false},{"name":"Chuanyun Fu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02432768126768059,"gpt":0.2274356806400484,"spread":0.2031079993723678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009700647,0.0004679192,0.0006587312,0.0008001793,0.0004475396,0.00005232284,0.0009923643,0.0002313877,0.00003873208],"category_scores_gemma":[0.00002212318,0.0004318288,0.0003515432,0.004636314,0.0004761247,0.0005435083,0.000006741582,0.0003838131,0.00000353563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001165395,"about_ca_system_score_gemma":0.0002568727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000121242,"about_ca_topic_score_gemma":0.00001697105,"domain_scores_codex":[0.9966196,0.00001508217,0.0008054042,0.0009105006,0.0006300079,0.001019377],"domain_scores_gemma":[0.9987552,0.0001784433,0.00006148998,0.0005666921,0.000151904,0.0002862778],"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":[0.0003038134,0.0006549276,0.01710033,0.0009812099,0.0002931624,0.00001919873,0.001452527,0.9545462,0.006567083,0.004177555,0.0010444,0.01285965],"study_design_scores_gemma":[0.006427189,0.0001003838,0.03968021,0.0001075327,0.0004512916,0.00000662501,0.0001051752,0.9386599,0.005834752,0.001739191,0.005375873,0.001511842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06296196,0.0007292076,0.9274923,0.0000589367,0.0004294192,0.001013925,0.0008224515,0.0006669,0.005824924],"genre_scores_gemma":[0.8733852,0.0002263049,0.1256039,0.00007807052,0.00002691421,0.0001775165,0.00015864,0.00004273337,0.0003007705],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8104233,"threshold_uncertainty_score":0.9998134,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414995447","doi":"10.1080/23249935.2025.2561893","title":"Examining the adoption potential of a new travel chain integrating electric vehicle sharing and rail transit","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Electric vehicle; Public transport; Rail transit; Chain (unit); Transit (satellite)","authors":[{"name":"Shunchao Wang","is_ca":false},{"name":"Qi Cao","is_ca":true},{"name":"Qinghai Lin","is_ca":false},{"name":"Chunting Nie","is_ca":false},{"name":"Yuchen Song","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01806081216608966,"gpt":0.2322008488208468,"spread":0.2141400366547571,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007839767,0.0002422111,0.0003209872,0.001044828,0.0002879902,0.00003811264,0.0004981891,0.0000944491,0.00003125046],"category_scores_gemma":[0.00002056148,0.000208136,0.00009682455,0.007803947,0.0003212178,0.0004069561,0.000003469389,0.0003533254,8.021333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005650942,"about_ca_system_score_gemma":0.0002455007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001837367,"about_ca_topic_score_gemma":0.0001488328,"domain_scores_codex":[0.9978741,0.000008783035,0.0007521993,0.0004586114,0.0004723363,0.0004339358],"domain_scores_gemma":[0.9992755,0.00005275778,0.00007093605,0.0003352354,0.0001376128,0.0001279761],"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":[0.0001106279,0.0001892961,0.1015888,0.0004869557,0.0001569677,0.0000226215,0.009661113,0.03579595,0.7339211,0.04460721,0.00002643845,0.07343286],"study_design_scores_gemma":[0.0008740034,0.00006735566,0.9484072,0.0001046134,0.0001651934,0.000005339489,0.0009493516,0.03280361,0.01575143,0.0004670587,0.0001390129,0.0002658186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6978403,0.0003469425,0.3000397,0.0001592692,0.0001374993,0.0003268934,0.00001408085,0.000151189,0.0009841237],"genre_scores_gemma":[0.9979367,0.0001636128,0.001644317,0.00006486633,0.00001925071,0.0000245512,0.00001741901,0.00001873703,0.000110541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8468184,"threshold_uncertainty_score":0.848754,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411060651","doi":"10.1080/23249935.2025.2512421","title":"Influence of mobile phone use on pedestrians at road crossings: insight from gait experiments","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"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":"National Natural Science Foundation of China","keywords":"Gait; Mobile phone; Computer science; Phone; Pedestrian; Human–computer interaction; Transport engineering; Physical medicine and rehabilitation; Engineering; Telecommunications; Medicine","authors":[{"name":"Mingyu Hou","is_ca":false},{"name":"Chenzhu Wang","is_ca":false},{"name":"Said M. Easa","is_ca":true},{"name":"Jianchuan Cheng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03351412503668359,"gpt":0.3621723965800649,"spread":0.3286582715433813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003899249,0.000333628,0.0005229626,0.001372795,0.0004870524,0.00005637129,0.0008007367,0.0001712042,0.003439922],"category_scores_gemma":[0.0000541054,0.00031629,0.000221479,0.004415218,0.001065252,0.0007391362,0.00001441235,0.0002958086,0.0002491608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367175,"about_ca_system_score_gemma":0.0002965433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002406305,"about_ca_topic_score_gemma":0.000119651,"domain_scores_codex":[0.9964125,0.00005436383,0.001112012,0.0009880645,0.0008883314,0.0005447484],"domain_scores_gemma":[0.9980407,0.0002342608,0.0003209393,0.0008874293,0.000279942,0.0002367277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003883043,0.005952216,0.6386412,0.0001182519,0.0004600257,0.0003561707,0.08952933,0.01182291,0.2249774,0.007256194,0.001387996,0.01561534],"study_design_scores_gemma":[0.001636721,0.0001676226,0.9450265,0.0001205518,0.00005647595,0.000002537015,0.0003558637,0.00005440649,0.03452804,0.00003125549,0.01772373,0.0002963503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764772,0.0001682991,0.0011427,0.00006217525,0.0007300198,0.0005231496,0.0002312562,0.00018879,0.02047641],"genre_scores_gemma":[0.9930558,0.00003718928,0.0003186384,0.0005464818,0.00002081457,0.0001265807,0.0000567185,0.00002084582,0.005816893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3063853,"threshold_uncertainty_score":0.9999289,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414783086","doi":"10.1080/23249935.2025.2563183","title":"Spatiotemporal disparities in macro-microscopic properties of motorcycle injury level","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic and Road Safety","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":"Toronto Metropolitan University","funders":"","keywords":"Poison control; Identification (biology); Population; Context (archaeology); Data collection","authors":[{"name":"Chenzhu Wang","is_ca":false},{"name":"Pengfei Cui","is_ca":false},{"name":"Mohamed Abdel‐Aty","is_ca":false},{"name":"Said M. Easa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01585060488434525,"gpt":0.2262314461121094,"spread":0.2103808412277641,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003669543,0.0002337629,0.0004124666,0.001146573,0.0001033518,0.00001427347,0.0005643411,0.0001044683,0.00002053746],"category_scores_gemma":[0.00001093217,0.0002133673,0.0001000032,0.004386617,0.0007400063,0.0003991625,0.000007890326,0.0002389895,0.000003077163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001117652,"about_ca_system_score_gemma":0.0002824613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004910931,"about_ca_topic_score_gemma":0.000299418,"domain_scores_codex":[0.9980232,0.000008829868,0.0006701539,0.0003639956,0.0004250817,0.0005087577],"domain_scores_gemma":[0.9994518,0.00001829289,0.00004096818,0.0003226222,0.00007186442,0.0000944312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001357705,0.0003006631,0.8827098,0.0012314,0.00003984642,0.00002459373,0.001463041,0.01394641,0.08567851,0.002579261,0.00004879535,0.01184189],"study_design_scores_gemma":[0.0004388673,0.00003082609,0.895599,0.0002231877,0.00002076595,6.451238e-7,0.00005555257,0.001244758,0.101767,0.00005547128,0.0003367183,0.000227213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988908,0.000961123,0.007246976,0.00007467448,0.0004060386,0.0003478441,0.0001026008,0.0002079797,0.001744772],"genre_scores_gemma":[0.9984097,0.0002493113,0.001043386,0.00002851073,0.00001015773,0.00002713689,0.000008041236,0.00001793065,0.0002058175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01608846,"threshold_uncertainty_score":0.8700866,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414661800","doi":"10.1080/23249935.2025.2563182","title":"Railway booking demand forecasting for revenue management: a deep probabilistic approach","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Demand forecasting; Probabilistic logic; Revenue; Probabilistic forecasting; Economic forecasting","authors":[{"name":"Zhanhong Cheng","is_ca":true},{"name":"Thibault Barbier","is_ca":false},{"name":"Lijun Sun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03064569934036214,"gpt":0.2920402080063593,"spread":0.2613945086659972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002736669,0.000246889,0.0003402957,0.001173231,0.002011348,0.0001085131,0.0007863696,0.0001328361,0.00002497936],"category_scores_gemma":[0.0001494713,0.0002598333,0.0001844045,0.006816451,0.0009385462,0.0006280998,0.000004902935,0.0001741329,0.000001953827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001674845,"about_ca_system_score_gemma":0.0004809777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001898462,"about_ca_topic_score_gemma":0.0004365208,"domain_scores_codex":[0.9967432,0.00004263934,0.000637399,0.0008589528,0.0008566598,0.0008611607],"domain_scores_gemma":[0.9987569,0.0002026641,0.000174227,0.0003103177,0.0003287993,0.00022707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006381529,0.001101121,0.1406227,0.00260383,0.0002631964,0.000107716,0.05636266,0.1266337,0.0001998538,0.5923276,0.0003705322,0.07876896],"study_design_scores_gemma":[0.01282733,0.0004721064,0.57544,0.002148445,0.003200499,0.00001433465,0.01684247,0.09261817,0.0007793323,0.03589018,0.2552446,0.004522597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02730229,0.0003302101,0.9025347,0.0003029278,0.0004351195,0.002180374,0.00008491604,0.0003075181,0.06652198],"genre_scores_gemma":[0.9395037,0.0001059874,0.05729732,0.0001455664,0.00005049698,0.0002736008,0.0000978191,0.00002003197,0.002505481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9122014,"threshold_uncertainty_score":0.9999854,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414861741","doi":"10.1080/23249935.2025.2566439","title":"Extraboard transit operator scheduling considering driver absenteeism","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"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":"Scheduling (production processes); Operator (biology); Transit system; Public transport; Transit (satellite); Job shop scheduling","authors":[{"name":"Jilin Song","is_ca":true},{"name":"Amer Shalaby","is_ca":true},{"name":"Merve Bodur","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01153334140378332,"gpt":0.2443714190193126,"spread":0.2328380776155293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005391693,0.0004018504,0.000456514,0.001664361,0.0004391169,0.00006994881,0.0006588828,0.0001514547,0.0002233576],"category_scores_gemma":[0.00001896853,0.0004308708,0.0002101931,0.008526288,0.0007325141,0.000796042,0.000003593119,0.0004552812,0.00002869536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458264,"about_ca_system_score_gemma":0.0004351767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004329543,"about_ca_topic_score_gemma":0.0001432571,"domain_scores_codex":[0.9969023,0.00000915997,0.0009217145,0.0007053533,0.0006751142,0.0007863587],"domain_scores_gemma":[0.9987687,0.00006208515,0.00004207422,0.0005604834,0.0002914871,0.0002751893],"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":[0.0001122552,0.0006776238,0.2251859,0.0009789215,0.0004581684,0.0002995331,0.00518653,0.3333119,0.3153591,0.0966141,0.0002570706,0.02155893],"study_design_scores_gemma":[0.002619392,0.00006084197,0.8702049,0.0002769682,0.0003380404,0.00001394079,0.0005923821,0.01251833,0.0801101,0.0005478631,0.03133564,0.001381551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7384756,0.0004005077,0.249678,0.0003093907,0.0008077516,0.0005159427,0.00008199689,0.001083617,0.008647143],"genre_scores_gemma":[0.9889547,0.0001873611,0.01017653,0.0002980275,0.00002604449,0.00007062591,0.00004602316,0.00003835255,0.0002023883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6450191,"threshold_uncertainty_score":0.9998143,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415616585","doi":"10.1080/23249935.2025.2576088","title":"Planning for optimised local delivery using sidewalk robots and mothership vans","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Drone; Key (lock); Telerobotics","authors":[{"name":"J. S. Lamb","is_ca":true},{"name":"S. C. Wirasinghe","is_ca":true},{"name":"Nigel Waters","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02365965922037485,"gpt":0.2688239436432474,"spread":0.2451642844228726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000272369,0.0002247506,0.0002605742,0.0006836965,0.0002795076,0.00003114901,0.0002502441,0.00009234924,0.000007464031],"category_scores_gemma":[0.00001992202,0.0002339947,0.00006648005,0.001497992,0.0003960654,0.0003207854,0.000004097107,0.0001440707,2.890616e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066783,"about_ca_system_score_gemma":0.00009969557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002321442,"about_ca_topic_score_gemma":0.000006975243,"domain_scores_codex":[0.9985477,0.000004314386,0.0003217932,0.0004221355,0.0002298625,0.000474199],"domain_scores_gemma":[0.9994246,0.0001144045,0.00003516746,0.0002035511,0.00008227517,0.0001400012],"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":[0.00003505075,0.00001679185,0.001754339,0.0001346099,0.00001361401,0.000008892687,0.000225349,0.9926259,0.001132718,0.0004663105,0.000003709955,0.003582714],"study_design_scores_gemma":[0.001170015,0.00006017101,0.02190618,0.0001542175,0.0001702935,0.000005025358,0.0002078956,0.9588981,0.01542575,0.001039942,0.0004401671,0.0005222524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09520701,0.0005306323,0.9026787,0.0000185445,0.0001991398,0.0003184393,0.00002650041,0.0002806321,0.0007404314],"genre_scores_gemma":[0.8941911,0.00008301315,0.1055614,0.00004706445,0.00001429593,0.00001832931,0.00001458063,0.00002441683,0.00004570103],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7989842,"threshold_uncertainty_score":0.9542025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}