{"meta":{"query_hash":"b66d94510620","filters":{"venue":"18th ITS World CongressTransCoreITS AmericaERTICO - ITS EuropeITS Asia-Pacific"},"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/b66d94510620","api":"https://metacan.xera.ac/api/v1/cohort?venue=18th+ITS+World+CongressTransCoreITS+AmericaERTICO+-+ITS+EuropeITS+Asia-Pacific"},"results":[{"id":"W564434920","doi":"","title":"N11 3-Digit Caller Reach and Response for Governments and Agencies","year":2011,"lang":"en","type":"article","venue":"18th ITS World CongressTransCoreITS AmericaERTICO - ITS EuropeITS Asia-Pacific","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commission; Mandate; Business; Telecommunications; Directory; Service (business); Public sector; Public administration; Finance; Marketing; Computer science; Economics; Political science","score_opus":0.03750896791428409,"score_gpt":0.24043319626651774,"score_spread":0.20292422835223364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W564434920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9069592,0.0035966688,0.00024173092,0.00033459882,0.000632525,0.0011531728,0.0004103646,0.0006228957,0.08604887],"genre_scores_gemma":[0.9849525,0.0009333439,0.00036778927,0.00015669577,0.00012273176,0.0000846111,0.000017953356,0.000218268,0.013146092],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970806,0.00015831903,0.00071057637,0.0004760396,0.0004485153,0.0011259262],"domain_scores_gemma":[0.99830025,0.00031733487,0.00015248585,0.0005185906,0.00015883509,0.00055249425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003194451,0.0007495239,0.00070589187,0.00034814002,0.00029095638,0.00025544656,0.00040310615,0.00013043203,0.00022271159],"category_scores_gemma":[0.00017420585,0.0006912655,0.00012620122,0.00060029875,0.0003848429,0.0006480861,0.00007046084,0.00038231388,0.00008975582],"study_design_candidate":"bench_or_experimental","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":[0.012837438,0.0010341605,0.021425568,0.0036405856,0.0037530109,0.00066807284,0.15977585,0.00048762443,0.5535207,0.01916939,0.070673116,0.15301451],"study_design_scores_gemma":[0.0062133297,0.0021603652,0.2248231,0.00090932363,0.0008573063,0.00045889453,0.012240632,0.004654674,0.22159706,0.00015561668,0.52090937,0.0050203525],"about_ca_topic_score_codex":0.000022753915,"about_ca_topic_score_gemma":0.000019769188,"teacher_disagreement_score":0.45023623,"about_ca_system_score_codex":0.000083861145,"about_ca_system_score_gemma":0.000074818614,"threshold_uncertainty_score":0.99955386},"labels":[],"label_agreement":null},{"id":"W598722581","doi":"","title":"Optimize Signal Priority Strategy to Improve Transit Mobility","year":2011,"lang":"en","type":"article","venue":"18th ITS World CongressTransCoreITS AmericaERTICO - ITS EuropeITS Asia-Pacific","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Preemption; Intersection (aeronautics); VisSim; Transport engineering; Bus priority; SIGNAL (programming language); Public transport; Computer science; Engineering","score_opus":0.04111377852644457,"score_gpt":0.28419373721305075,"score_spread":0.24307995868660617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W598722581","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23773186,0.0013409241,0.026500419,0.0031026057,0.0030328473,0.0066458522,0.0008205767,0.0027155252,0.71810937],"genre_scores_gemma":[0.98520434,0.00017250504,0.0031871633,0.00024438632,0.0002616178,0.00011507119,0.000060759547,0.00012421036,0.010629921],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9936622,0.00076954084,0.0012847185,0.0015178903,0.001238497,0.0015271631],"domain_scores_gemma":[0.9965258,0.00021556186,0.000420474,0.000693015,0.0009295067,0.0012156276],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010329587,0.00075419043,0.0008527244,0.0005034001,0.0010336783,0.00037288433,0.0010832775,0.00022873585,0.003486268],"category_scores_gemma":[0.00016851413,0.0007613252,0.00031332838,0.002596032,0.00052128,0.0011309024,0.000025738434,0.00076050055,0.0005377573],"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":[0.010031222,0.0096709225,0.037549876,0.0013061215,0.0021769365,0.0029103123,0.3067388,0.071344286,0.092619315,0.14609621,0.010829202,0.3087268],"study_design_scores_gemma":[0.012731075,0.006484695,0.52635616,0.0015772767,0.002510654,0.00006237503,0.050002582,0.0140040135,0.078938164,0.00067362015,0.2934432,0.013216157],"about_ca_topic_score_codex":0.00056636863,"about_ca_topic_score_gemma":0.0006614314,"teacher_disagreement_score":0.7474725,"about_ca_system_score_codex":0.00011341573,"about_ca_system_score_gemma":0.0006771057,"threshold_uncertainty_score":0.99948376},"labels":[],"label_agreement":null},{"id":"W605113028","doi":"","title":"Neighbour Links Travel Time Estimation Using Probe Vehicles and Buses Data","year":2011,"lang":"en","type":"article","venue":"18th ITS World CongressTransCoreITS AmericaERTICO - ITS EuropeITS Asia-Pacific","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Travel time; VisSim; Market penetration; Computer science; Data collection; Estimation; Floating car data; Real-time data; Transport engineering; Transit (satellite); Value of time; Arrival time; Real-time computing; Data mining; Simulation; Statistics; Engineering; Public transport; Traffic congestion; Mathematics; Intersection (aeronautics)","score_opus":0.05357714256279777,"score_gpt":0.24777571434487985,"score_spread":0.19419857178208208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W605113028","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19623208,0.011914646,0.39117637,0.0013937232,0.0034738728,0.008257931,0.0016109386,0.03403422,0.3519062],"genre_scores_gemma":[0.9878123,0.0006444807,0.009813973,0.000094159615,0.0001174601,0.000034257224,0.00011267593,0.00019923033,0.0011714535],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99690986,0.00013027259,0.00082274055,0.0009158756,0.00045853705,0.00076270546],"domain_scores_gemma":[0.998316,0.00006671398,0.00019435429,0.0009780866,0.00014560965,0.00029924655],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030017778,0.00065468263,0.000599542,0.0005495444,0.00024013757,0.00025960582,0.0008966501,0.00017430761,0.0002536151],"category_scores_gemma":[0.000059879283,0.00064700673,0.00008271513,0.00092604314,0.00025491795,0.0013426233,0.00015529328,0.00068309886,0.00018750473],"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":[0.0006494838,0.0015611309,0.0029139102,0.0028884374,0.002330466,0.0008531517,0.0076826047,0.006854745,0.2905512,0.023634361,0.058438443,0.6016421],"study_design_scores_gemma":[0.0012514503,0.00022581399,0.020629175,0.0006479043,0.00053282676,0.00012348655,0.00033788782,0.9306808,0.023829607,0.00006654146,0.02005189,0.0016226139],"about_ca_topic_score_codex":0.000017010547,"about_ca_topic_score_gemma":0.000008947409,"teacher_disagreement_score":0.92382604,"about_ca_system_score_codex":0.000041706575,"about_ca_system_score_gemma":0.000052431842,"threshold_uncertainty_score":0.99959815},"labels":[],"label_agreement":null},{"id":"W636326507","doi":"","title":"Weigh-in-Motion and Structural Deflection Based Mechanistic ESAL Factors for Urban Pavement Asset Management","year":2011,"lang":"en","type":"article","venue":"18th ITS World CongressTransCoreITS AmericaERTICO - ITS EuropeITS Asia-Pacific","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Axle load; Deflection (physics); Axle; Transport engineering; Engineering; Structural engineering; Civil engineering; Environmental science; Automotive engineering","score_opus":0.034946905755236325,"score_gpt":0.24929055766181643,"score_spread":0.2143436519065801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W636326507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86435694,0.0016464024,0.08237616,0.00017222937,0.0048740427,0.0076451306,0.00023714281,0.0015985637,0.037093394],"genre_scores_gemma":[0.9962703,0.00011260896,0.0021293825,0.000047757,0.000106095584,0.00027111455,0.00018280448,0.00017285308,0.000707087],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964179,0.00014570421,0.00097290025,0.0008522013,0.0006347834,0.0009765234],"domain_scores_gemma":[0.9987517,0.00010178023,0.00024371665,0.000442481,0.00018469934,0.000275635],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037853833,0.00073404325,0.00056815456,0.0007872463,0.00019231018,0.00011896617,0.00035024603,0.00010661675,0.00064564287],"category_scores_gemma":[0.00003238335,0.0007187853,0.0001318075,0.0008000522,0.0001020297,0.0007516702,0.00003554371,0.00035521958,0.000051686977],"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":[0.003980368,0.0029638573,0.27238813,0.01551467,0.004815216,0.0006780807,0.024100622,0.08220201,0.24227783,0.10623948,0.01045023,0.23438948],"study_design_scores_gemma":[0.0049091326,0.00091017486,0.2389304,0.0004937756,0.0006365945,0.000013958151,0.0011986358,0.6736992,0.07032583,0.00018742027,0.006561269,0.0021336193],"about_ca_topic_score_codex":0.000010741121,"about_ca_topic_score_gemma":0.00004950645,"teacher_disagreement_score":0.5914972,"about_ca_system_score_codex":0.00032479598,"about_ca_system_score_gemma":0.00004342013,"threshold_uncertainty_score":0.9995263},"labels":[],"label_agreement":null},{"id":"W645555944","doi":"","title":"The Impact of a Non-Violation Business Model on a Greenfield All Electronic Toll (AET) Operations","year":2011,"lang":"en","type":"article","venue":"18th ITS World CongressTransCoreITS AmericaERTICO - ITS EuropeITS Asia-Pacific","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Toll; Demographics; Bridge (graph theory); Electronic toll collection; Business; Business model; Computer security; Advertising; Computer science; Marketing; Demography; Sociology","score_opus":0.039919854003425174,"score_gpt":0.3062808766550125,"score_spread":0.26636102265158734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W645555944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55646163,0.0012670403,0.029405514,0.0036409504,0.0010276607,0.0040012384,0.00034288375,0.0007902621,0.40306282],"genre_scores_gemma":[0.9918389,0.00074020785,0.0004325079,0.00008436752,0.000096763564,0.000061080435,0.00008323352,0.00007118719,0.0065918076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996521,0.00034035076,0.00085729425,0.0006153891,0.00070885225,0.00095713016],"domain_scores_gemma":[0.9977076,0.00021363611,0.00037470087,0.00050349196,0.00091418385,0.00028639124],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056791323,0.0004457185,0.00045632914,0.00034805294,0.000993732,0.00020982369,0.00071101,0.00013332827,0.00030199424],"category_scores_gemma":[0.00019589852,0.00033809425,0.00024373333,0.0018824787,0.00039996463,0.0006845484,0.000014210477,0.00047973337,0.00008164453],"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":[0.0031688185,0.0020735972,0.014650423,0.0001439014,0.0013272676,0.00010774634,0.07998995,0.6987272,0.014450856,0.15170448,0.0059671076,0.027688667],"study_design_scores_gemma":[0.0052633714,0.0025830425,0.4318289,0.0010458794,0.0010151591,0.000022619512,0.0078940755,0.5191175,0.007382192,0.00062654546,0.019453233,0.0037675253],"about_ca_topic_score_codex":0.0010289953,"about_ca_topic_score_gemma":0.0015867652,"teacher_disagreement_score":0.4353772,"about_ca_system_score_codex":0.00010407462,"about_ca_system_score_gemma":0.00090359163,"threshold_uncertainty_score":0.99990714},"labels":[],"label_agreement":null},{"id":"W648206913","doi":"","title":"Using Bluetooth Technology to Monitor Traffic Patterns around Urban Centers in Alberta","year":2011,"lang":"en","type":"article","venue":"18th ITS World CongressTransCoreITS AmericaERTICO - ITS EuropeITS Asia-Pacific","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bluetooth; TRIPS architecture; Transport engineering; Software deployment; Data collection; Traffic volume; Geography; Computer science; Engineering; Telecommunications; Wireless; Statistics","score_opus":0.043759963762026226,"score_gpt":0.2723570064569188,"score_spread":0.22859704269489256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W648206913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93960255,0.0020731757,0.02386273,0.0074197534,0.0017567793,0.002652472,0.000073240146,0.002668025,0.019891284],"genre_scores_gemma":[0.98882794,0.00024069072,0.009003018,0.0003075056,0.0000685344,0.0001362377,0.000009704925,0.00014128065,0.0012650966],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9939017,0.0003711322,0.0014348319,0.0017840432,0.00068811007,0.0018201594],"domain_scores_gemma":[0.99549294,0.00018873397,0.0005341793,0.002884207,0.00035774152,0.00054220186],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.00032615656,0.00096500537,0.0010446662,0.002620419,0.00038333976,0.00043713054,0.00568894,0.00028015883,0.00008877242],"category_scores_gemma":[0.00019714257,0.0009487357,0.00022394765,0.0061027566,0.00044682308,0.0013583787,0.0006942988,0.0011744637,0.000367789],"study_design_candidate":"design_other","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":[0.0008588854,0.0051435223,0.16694005,0.0006478513,0.0009023307,0.0018879344,0.022121696,0.0044401134,0.046301372,0.15499826,0.0026216798,0.5931363],"study_design_scores_gemma":[0.014590817,0.005172492,0.22343905,0.0068923268,0.0006558981,0.0011263633,0.016367981,0.23896655,0.3593126,0.0009953994,0.11409154,0.018389001],"about_ca_topic_score_codex":0.00027659818,"about_ca_topic_score_gemma":0.00045266686,"teacher_disagreement_score":0.5747473,"about_ca_system_score_codex":0.00016623708,"about_ca_system_score_gemma":0.00018107666,"threshold_uncertainty_score":0.9996908},"labels":[],"label_agreement":null}]}