{"meta":{"query_hash":"321490f0986c","filters":{"venue":"Communications in Transportation Research"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/321490f0986c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Communications+in+Transportation+Research"},"results":[{"id":"W3171984561","doi":"10.1016/j.commtr.2022.100052","title":"Quantifying out-of-station waiting time in oversaturated urban metro systems","year":2022,"lang":"en","type":"article","venue":"Communications in Transportation Research","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Beijing; Transfer station; Transfer (computing); Queueing theory; Metro station; Computer science; Queue; Transport engineering; Scheduling (production processes); Megacity; Operations research; Metropolitan area; Traffic congestion; Service (business); Computer network; Operations management; Business; Engineering; Geography","score_opus":0.24492803835110663,"score_gpt":0.45524966029978825,"score_spread":0.21032162194868162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171984561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99451244,0.00003814008,0.004954968,0.000026734278,0.0000027084195,0.0000070357596,0.0001482735,0.000032787622,0.00027693235],"genre_scores_gemma":[0.9989029,0.00001656542,0.00080607407,0.000003780811,0.0000019654924,0.0000036997576,0.00018421827,0.0000033257845,0.000077416575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997156,0.00006110648,0.000021723474,0.00007907472,0.000056181838,0.00006629605],"domain_scores_gemma":[0.9979456,0.0008879589,0.0005444289,0.00014952502,0.00031160482,0.00016096125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006604528,0.00045544395,0.00027442406,0.001049828,0.00035088052,0.00047300072,0.0005980683,0.0003852882,0.0006496806],"category_scores_gemma":[0.0034074069,0.00018195652,0.00028526896,0.0011203021,0.00029191867,0.00082888437,0.0005181165,0.000334922,0.000086641885],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022955757,0.00017482231,0.43199894,0.000081236765,0.00015507956,0.00028385638,0.0006125772,0.5452118,0.005812658,0.0018273045,0.0005601826,0.013051994],"study_design_scores_gemma":[0.0000069893654,0.000076589014,0.11896092,0.000010457975,0.000035789253,0.000046843204,0.0004626882,0.8782584,0.0011907825,0.0006363119,0.00028984886,0.000024345592],"about_ca_topic_score_codex":0.050142087,"about_ca_topic_score_gemma":0.0329935,"teacher_disagreement_score":0.050142087,"about_ca_system_score_codex":0.00081741076,"about_ca_system_score_gemma":0.0005234034,"threshold_uncertainty_score":0.09970045},"labels":[],"label_agreement":null},{"id":"W3213630550","doi":"10.1016/j.commtr.2021.100011","title":"Emerging approaches applied to maritime transport research: Past and future","year":2021,"lang":"en","type":"article","venue":"Communications in Transportation Research","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"National Natural Science Foundation of China","keywords":"Port (circuit theory); Process (computing); Computer science; Data science; Emerging markets; Management science; Big data; Operations research; Artificial intelligence; Engineering; Business; Data mining","score_opus":0.17166301715742696,"score_gpt":0.38032821037068815,"score_spread":0.20866519321326119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213630550","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041904473,0.7801379,0.14860293,0.0305924,0.0042543635,0.000067827255,0.00020210528,0.00018365149,0.03176846],"genre_scores_gemma":[0.041314334,0.849239,0.09209824,0.003784332,0.0059724497,0.00013613795,0.00026611716,0.000083064835,0.0071062916],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978186,0.00089864316,0.00023053854,0.00036266728,0.0005901364,0.00009952409],"domain_scores_gemma":[0.9934002,0.0045921737,0.0003575304,0.00034756793,0.0011288642,0.000173628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040689046,0.0012284641,0.0008912856,0.0040728757,0.0010033012,0.005622776,0.0018476748,0.0028250418,0.0034214358],"category_scores_gemma":[0.006662156,0.00054430065,0.00093396986,0.006473023,0.0038553728,0.007802986,0.0023332825,0.0050143176,0.0014345372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038418155,0.00010843187,0.0018950219,0.0067539164,0.000101308266,0.00024054275,0.001400434,0.004838875,0.0009218546,0.5500818,0.023141218,0.41047817],"study_design_scores_gemma":[0.000009465297,0.0000828559,0.0013292234,0.0055536507,0.00005954073,0.00043785275,0.0024281568,0.012608969,0.00090276485,0.4324401,0.5440804,0.00006707751],"about_ca_topic_score_codex":0.002713127,"about_ca_topic_score_gemma":0.0029625401,"teacher_disagreement_score":0.005622776,"about_ca_system_score_codex":0.002633893,"about_ca_system_score_gemma":0.00318449,"threshold_uncertainty_score":0.021518707},"labels":[],"label_agreement":null},{"id":"W4404314997","doi":"10.1016/j.commtr.2024.100149","title":"Bridging the gap: Toward a holistic understanding of shared micromobility fleet development dynamics","year":2024,"lang":"en","type":"article","venue":"Communications in Transportation Research","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"Kementerian Pendidikan dan Kebudayaan; OeAD-GmbH; Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie","keywords":"Bridging (networking); Sociology; Computer science; Computer network","score_opus":0.33476097760117646,"score_gpt":0.4202710507484132,"score_spread":0.08551007314723674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404314997","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24307576,0.0037818544,0.65105635,0.02036729,0.00018168511,0.00017752801,0.00086765323,0.000176489,0.0803154],"genre_scores_gemma":[0.95800185,0.002356823,0.036702644,0.0004358076,0.000053004154,0.00011835542,0.00016240893,0.000047422443,0.00212166],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99924517,0.0003197038,0.000029965544,0.00015796268,0.00012971852,0.00011741935],"domain_scores_gemma":[0.99769646,0.0013727158,0.0003562789,0.00022640481,0.00018543517,0.00016265872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016284077,0.00060671376,0.0006477692,0.0014255607,0.0010284911,0.004919496,0.0014794271,0.0018288472,0.0046539526],"category_scores_gemma":[0.0047320668,0.00049614493,0.0008611562,0.0012179357,0.0023688101,0.012266374,0.0038244962,0.0018527543,0.00025231924],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021774717,0.000052179264,0.006539496,0.00016610694,0.000043366683,0.00022765942,0.0016843593,0.13531633,0.0007343205,0.8353092,0.0011520742,0.0187531],"study_design_scores_gemma":[0.0000046078294,0.00003261051,0.0029100736,0.00025483436,0.000020741907,0.00010348092,0.0032420098,0.22046614,0.00027890384,0.7541326,0.018521553,0.000032394153],"about_ca_topic_score_codex":0.007107464,"about_ca_topic_score_gemma":0.0054080207,"teacher_disagreement_score":0.007107464,"about_ca_system_score_codex":0.0033306584,"about_ca_system_score_gemma":0.003280921,"threshold_uncertainty_score":0.02416575},"labels":[],"label_agreement":null},{"id":"W4407538445","doi":"10.1016/j.commtr.2025.100163","title":"On the stochastic fundamental diagram: A general micro-macroscopic traffic flow modeling framework","year":2025,"lang":"en","type":"article","venue":"Communications in Transportation Research","topic":"Traffic control and management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Diagram; Statistical physics; Flow (mathematics); Microscopic traffic flow model; Computer science; Mechanics; Physics; Traffic generation model","score_opus":0.057607363240362225,"score_gpt":0.3580093203609084,"score_spread":0.3004019571205462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407538445","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010585058,0.00026188974,0.98456246,0.00018349456,0.000036382316,0.000033148728,0.00016828357,0.00012307521,0.004046155],"genre_scores_gemma":[0.8043734,0.0015922074,0.18691972,0.00019565917,0.00021794785,0.0003843039,0.00069221883,0.00018893968,0.005435675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996081,0.00011268622,0.000016702032,0.00008404227,0.00013149375,0.000047091857],"domain_scores_gemma":[0.9994784,0.0002401042,0.00008760258,0.00004940656,0.00010501927,0.00003953539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085646077,0.0005761794,0.0006825133,0.0011889265,0.00054259645,0.0011214488,0.0010647882,0.0010414931,0.0019899567],"category_scores_gemma":[0.0017978933,0.0003193643,0.0011221252,0.0009162107,0.0010751949,0.0023433696,0.0009824482,0.0011265186,0.0003147667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010499376,0.000013418806,0.0004970468,0.000035735397,0.000008500943,0.000046375502,0.000059463335,0.72757006,0.0013742155,0.26324087,0.0004889005,0.006654959],"study_design_scores_gemma":[0.0000016818548,0.0000049465903,0.00006172988,0.0000038387398,0.0000015783148,0.000010885825,0.0000031947575,0.96624494,0.000081175924,0.03287536,0.00070611626,0.000004613245],"about_ca_topic_score_codex":0.0063604023,"about_ca_topic_score_gemma":0.0023104018,"teacher_disagreement_score":0.0063604023,"about_ca_system_score_codex":0.0013736712,"about_ca_system_score_gemma":0.0014431326,"threshold_uncertainty_score":0.012646794},"labels":[],"label_agreement":null},{"id":"W4408789181","doi":"10.1016/j.commtr.2025.100172","title":"Modular AI agents for transportation surveys and interviews: Advancing engagement, transparency, and cost efficiency","year":2025,"lang":"en","type":"article","venue":"Communications in Transportation Research","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Environment and Climate Change Canada; McGill University; University of Sydney; Concordia University; National Research Foundation Singapore; Singapore-MIT Alliance for Research and Technology Centre; Massachusetts Institute of Technology","keywords":"Transparency (behavior); Modular design; Business; Computer science; Computer security","score_opus":0.14701349435280095,"score_gpt":0.4417383472024958,"score_spread":0.29472485284969485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408789181","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03485555,0.00010835422,0.95434344,0.0017962884,0.000043467837,0.001973743,0.00009162735,0.0013750186,0.0054126065],"genre_scores_gemma":[0.14707425,0.000085792715,0.84717727,0.00030516484,0.00003695047,0.0036657504,0.00011962242,0.0001820345,0.0013531649],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.91215473,0.07681749,0.002090115,0.0043177935,0.0034851453,0.0011347205],"domain_scores_gemma":[0.87468445,0.09438433,0.006827371,0.016360119,0.0051285163,0.0026152167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.058769777,0.0013426661,0.00051311334,0.0026209573,0.0024486785,0.005366003,0.0031400346,0.0024958942,0.0045236517],"category_scores_gemma":[0.09207703,0.0012801553,0.0008364166,0.0012362277,0.0049507194,0.0082297595,0.0147944605,0.0023390772,0.0019773063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008308709,0.0013969268,0.016408246,0.0015139251,0.00016642785,0.0009230129,0.18262024,0.018159999,0.06688713,0.1445107,0.0059781787,0.5606043],"study_design_scores_gemma":[0.00080642494,0.0019535427,0.012657333,0.0018340341,0.00031876375,0.0010888263,0.053851213,0.27738404,0.044333663,0.28705257,0.31827745,0.00044211035],"about_ca_topic_score_codex":0.0010233169,"about_ca_topic_score_gemma":0.0020577759,"teacher_disagreement_score":0.058769777,"about_ca_system_score_codex":0.0026937246,"about_ca_system_score_gemma":0.004832498,"threshold_uncertainty_score":0.310808},"labels":[],"label_agreement":null},{"id":"W4411183293","doi":"10.1016/j.commtr.2025.100183","title":"A multiagent social interaction model for autonomous vehicle testing","year":2025,"lang":"en","type":"article","venue":"Communications in Transportation Research","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science","score_opus":0.1874162502315943,"score_gpt":0.428341716699128,"score_spread":0.2409254664675337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411183293","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16911846,0.0004163706,0.817849,0.0008919541,0.00012318107,0.0001907622,0.00054324954,0.0006394278,0.0102276355],"genre_scores_gemma":[0.9568487,0.00012740053,0.03818983,0.00010483159,0.00003625067,0.00025206475,0.00036071707,0.000038456237,0.004041811],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994942,0.00021645022,0.000025142459,0.00011862732,0.00008497817,0.00006067055],"domain_scores_gemma":[0.9987105,0.00074848934,0.00019111458,0.00006887208,0.00018303082,0.00009804448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008618605,0.0008310209,0.0006241603,0.00056587567,0.00043738133,0.00073713175,0.0018159203,0.001237044,0.002337888],"category_scores_gemma":[0.0033121647,0.00032636328,0.00070003764,0.00031662613,0.00074639166,0.0010500212,0.0009580102,0.0012327707,0.00036541995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021479815,0.000034236047,0.0012097327,0.0000134827305,0.0000143865645,0.00007151169,0.000036764297,0.98714674,0.0003334339,0.006480617,0.0004256284,0.0042119552],"study_design_scores_gemma":[0.0000016237958,0.0000057346306,0.000064491964,7.984736e-7,0.0000012682113,0.0000036110857,0.00000288628,0.99878556,0.000028457047,0.0009929218,0.00011132399,0.0000012856018],"about_ca_topic_score_codex":0.0134455245,"about_ca_topic_score_gemma":0.01020428,"teacher_disagreement_score":0.0134455245,"about_ca_system_score_codex":0.0012327436,"about_ca_system_score_gemma":0.00079125667,"threshold_uncertainty_score":0.02673453},"labels":[],"label_agreement":null}]}