{"meta":{"query_hash":"279a8f2e61e3","filters":{"venue":"CICTP 2020"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"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/279a8f2e61e3","api":"https://metacan.xera.ac/api/v1/cohort?venue=CICTP+2020"},"results":[{"id":"W3048515018","doi":"10.1061/9780784482933.034","title":"Evaluation of High-Level Traffic Signal Control Algorithms Using Hardware in the Loop Simulation","year":2020,"lang":"en","type":"article","venue":"CICTP 2020","topic":"Traffic control and management","field":"Engineering","cited_by":0,"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":"","keywords":"VisSim; Intersection (aeronautics); Signal timing; Computer science; SIGNAL (programming language); Software; Controller (irrigation); Process (computing); Hardware-in-the-loop simulation; Traffic flow (computer networking); Traffic simulation; Field (mathematics); Algorithm; Real-time computing; Embedded system; Traffic signal; Engineering","score_opus":0.06058517766831294,"score_gpt":0.26347136615760836,"score_spread":0.2028861884892954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048515018","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":[0.72001994,0.00014844263,0.26997995,0.00008586302,0.000048962997,0.00018380284,0.00013261111,0.0011490012,0.008251443],"genre_scores_gemma":[0.98387134,0.00003313067,0.015590785,0.000005217848,0.0000021562987,0.000045003766,0.00005135329,0.000012922034,0.00038815473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995061,0.0001480998,0.000029723386,0.00004743369,0.00018916745,0.000079458994],"domain_scores_gemma":[0.99897456,0.0005577089,0.0000933899,0.00009144855,0.00024721716,0.000035695222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076267717,0.00047007346,0.00036108968,0.00051098457,0.00025948783,0.0005565215,0.0005991991,0.0004185197,0.001266755],"category_scores_gemma":[0.0016504303,0.00011157391,0.00028243606,0.00028909967,0.00041125118,0.00043413736,0.00033512735,0.00036218346,0.000084339],"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":[0.00009804163,0.00009721421,0.0011983484,0.00006380165,0.000013316854,0.000025796373,0.000043804674,0.9771728,0.0064056986,0.0016158846,0.00013194315,0.013133366],"study_design_scores_gemma":[0.000007569276,0.00010818882,0.00026358102,0.0000020943305,0.000004237367,0.000004167021,0.000010558173,0.9954426,0.003874653,0.00013561134,0.00014372396,0.0000029076346],"about_ca_topic_score_codex":0.005104432,"about_ca_topic_score_gemma":0.002159356,"teacher_disagreement_score":0.005104432,"about_ca_system_score_codex":0.00058236386,"about_ca_system_score_gemma":0.00070321845,"threshold_uncertainty_score":0.010149419},"labels":[],"label_agreement":null},{"id":"W3048549559","doi":"10.1061/9780784482933.361","title":"Analysis of Factors Affecting Injury Severity in Motorcycle Involved Crashes","year":2020,"lang":"en","type":"article","venue":"CICTP 2020","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"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":"Crash; Collision; Motor vehicle crash; Transport engineering; Data pre-processing; Road surface; Computer science; Preprocessor; Government (linguistics); Poison control; Computer security; Engineering; Injury prevention; Artificial intelligence; Medicine; Environmental health","score_opus":0.012384101250719606,"score_gpt":0.21378524559834006,"score_spread":0.20140114434762046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048549559","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":[0.9987036,0.00008200754,0.00051796786,0.000024939478,0.0000023860741,0.000024354951,0.00039632397,0.000014438806,0.00023400059],"genre_scores_gemma":[0.9983992,0.000038253187,0.00044137362,0.000006511279,0.0000037965324,0.00001385909,0.0009064664,0.0000029397152,0.0001875261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994912,0.00012913816,0.000055702465,0.00010016274,0.00015351399,0.00007019781],"domain_scores_gemma":[0.9979316,0.00059746776,0.0005989565,0.00010978439,0.00057346484,0.00018868726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008008349,0.00036976882,0.00030930672,0.0024169588,0.0002518991,0.0005024581,0.00023338963,0.0003186244,0.0011618088],"category_scores_gemma":[0.0036824537,0.00011094245,0.00065241224,0.0014624887,0.00013763954,0.00029281454,0.00030215678,0.00029272883,0.00025254692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007072403,0.000033135995,0.9947642,0.000010876884,0.0000632988,0.000030326206,0.00003329615,0.00036926407,0.0003144725,0.000009650124,0.00009235824,0.004208386],"study_design_scores_gemma":[0.0000010969285,0.000051092302,0.99819094,0.0000025696347,0.000020779047,0.00003296924,0.00009929649,0.0014027329,0.00012995825,0.00001154244,0.00005473088,0.0000023779317],"about_ca_topic_score_codex":0.015557153,"about_ca_topic_score_gemma":0.023850456,"teacher_disagreement_score":0.015557153,"about_ca_system_score_codex":0.00038998827,"about_ca_system_score_gemma":0.0006063316,"threshold_uncertainty_score":0.030933201},"labels":[],"label_agreement":null},{"id":"W3048707102","doi":"10.1061/9780784482933.368","title":"A Study of Airport Access Mode Choice Behavior Based on a Nest Logit Model","year":2020,"lang":"en","type":"article","venue":"CICTP 2020","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"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":"","keywords":"Mode (computer interface); Logistic regression; Nest (protein structural motif); Logit; Mixed logit; Computer science; Mode choice; Nested logit; Statistics; Econometrics; Transport engineering; Mathematics; Machine learning; Engineering; Human–computer interaction; Public transport; Biology","score_opus":0.18869242123305163,"score_gpt":0.32474319745489955,"score_spread":0.1360507762218479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048707102","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":[0.8264889,0.00049112283,0.15943216,0.00079046475,0.00006328176,0.00016722381,0.0012121222,0.00018844543,0.011166269],"genre_scores_gemma":[0.9887488,0.00025577357,0.0062927287,0.00003479159,0.000025057814,0.00007741653,0.00034728122,0.000015732578,0.0042025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986085,0.0008933315,0.000033431264,0.00015173208,0.0001198234,0.00019307714],"domain_scores_gemma":[0.99543864,0.003588065,0.00037604087,0.0001363571,0.0002727084,0.0001881994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018941036,0.00046271272,0.0007114883,0.0014842461,0.0005962555,0.0015300775,0.0010136241,0.000823996,0.009490911],"category_scores_gemma":[0.005952248,0.00034317255,0.0012168422,0.0016618598,0.0004252424,0.0022811128,0.0007456143,0.0011221247,0.0006780767],"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":[0.0005618999,0.001319393,0.25950292,0.0004348806,0.0007240076,0.0021509137,0.002013622,0.511114,0.001779773,0.15957639,0.0074905776,0.053331647],"study_design_scores_gemma":[0.000016717695,0.00013148708,0.015509521,0.00001945789,0.000046927893,0.00017913374,0.00054622523,0.9728706,0.000116746785,0.009107132,0.0014212866,0.000034742992],"about_ca_topic_score_codex":0.012945808,"about_ca_topic_score_gemma":0.008114927,"teacher_disagreement_score":0.012945808,"about_ca_system_score_codex":0.0010309593,"about_ca_system_score_gemma":0.00070769124,"threshold_uncertainty_score":0.03175026},"labels":[],"label_agreement":null},{"id":"W3110859094","doi":"10.1061/9780784483053.443","title":"Study on CACC Algorithm for Platoons at Signalized Intersections to Improve Traffic Flow Efficiency","year":2020,"lang":"en","type":"article","venue":"CICTP 2020","topic":"Traffic control and management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cooperative Adaptive Cruise Control; Platoon; Intersection (aeronautics); Traffic flow (computer networking); Computer science; Throughput; Reliability (semiconductor); Trajectory; Automotive engineering; Genetic algorithm; Engineering; Algorithm; Control theory (sociology); Control (management); Transport engineering; Computer network; Wireless","score_opus":0.012834490057778355,"score_gpt":0.22331741511872802,"score_spread":0.21048292506094968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110859094","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":[0.04120033,0.00080111466,0.9514603,0.00027133644,0.00013834081,0.00009878413,0.00003263366,0.00028981318,0.005707378],"genre_scores_gemma":[0.8022749,0.0007500639,0.19302176,0.00015839234,0.000120993,0.00016431023,0.00015012699,0.000069680376,0.0032898374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942786,0.00009743803,0.000031315474,0.00012553636,0.00022666193,0.00009119683],"domain_scores_gemma":[0.99897516,0.00041678656,0.00007138039,0.000057858375,0.00041129923,0.00006749972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007355735,0.00071038835,0.0008131074,0.00076607085,0.00066106115,0.0008800811,0.00092665147,0.0006849363,0.002009025],"category_scores_gemma":[0.002632808,0.00021153109,0.00033978996,0.00081924605,0.00048378957,0.00085074326,0.0005083825,0.0008240604,0.00024371292],"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":[0.00010544577,0.000060508883,0.0017881177,0.00006827636,0.000027911054,0.00005228653,0.00007948753,0.8928047,0.0024851065,0.011327125,0.0018327539,0.089368396],"study_design_scores_gemma":[0.000005868839,0.000017752063,0.00007237672,0.0000025227723,0.0000030317963,0.000010434128,0.000006697,0.9988181,0.0002942694,0.00048312367,0.00028359183,0.0000021868095],"about_ca_topic_score_codex":0.013603895,"about_ca_topic_score_gemma":0.0057277502,"teacher_disagreement_score":0.013603895,"about_ca_system_score_codex":0.0010121771,"about_ca_system_score_gemma":0.0027027568,"threshold_uncertainty_score":0.027049422},"labels":[],"label_agreement":null},{"id":"W3111065661","doi":"10.1061/9780784483053.375","title":"Understanding the Trigger of Breakdown at Tunnel Sag Section and Exploring the Cause with an Improved Car-Following Model","year":2020,"lang":"en","type":"article","venue":"CICTP 2020","topic":"Traffic control and management","field":"Engineering","cited_by":0,"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":"","keywords":"Bottleneck; Acceleration; Asymmetry; Traffic flow (computer networking); Mechanics; Section (typography); Engineering; Structural engineering; Computer science; Physics; Classical mechanics","score_opus":0.06753734210739347,"score_gpt":0.19883983686163592,"score_spread":0.13130249475424244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111065661","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":[0.8590246,0.00032897596,0.13194674,0.00027673322,0.000040847513,0.000095713265,0.00034029144,0.00031012727,0.007635984],"genre_scores_gemma":[0.99718213,0.000078062694,0.0018579767,0.000010706523,0.0000065793733,0.000019596915,0.000072831164,0.000008674195,0.00076339726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985075,0.000020691607,0.000008102223,0.000037442725,0.000031412314,0.00005156335],"domain_scores_gemma":[0.9997073,0.00007053123,0.00007753524,0.000018499954,0.000089646834,0.000036488113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028079667,0.0005821552,0.0004777842,0.0008746177,0.0003929641,0.00057587115,0.0012145987,0.0009664508,0.0015058811],"category_scores_gemma":[0.0005877508,0.00028799515,0.00058698404,0.000434959,0.0004990049,0.0009873305,0.00048861175,0.0004998325,0.0001446392],"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":[0.00003885416,0.000059248006,0.010087705,0.000042476513,0.000013575791,0.00025686235,0.00011598248,0.9770471,0.0054044207,0.002937818,0.0003123245,0.0036835652],"study_design_scores_gemma":[0.0000022758877,0.000010688383,0.0015015791,0.0000018744631,0.0000056122,0.000017948425,0.00002537248,0.997865,0.00018015865,0.00031788897,0.00006642422,0.000005119102],"about_ca_topic_score_codex":0.029736986,"about_ca_topic_score_gemma":0.012084794,"teacher_disagreement_score":0.029736986,"about_ca_system_score_codex":0.0009165647,"about_ca_system_score_gemma":0.000869263,"threshold_uncertainty_score":0.059127808},"labels":[],"label_agreement":null},{"id":"W3112256392","doi":"10.1061/9780784483053.083","title":"Improved Model for Forward Collision Warning System Based on DSRC","year":2020,"lang":"en","type":"article","venue":"CICTP 2020","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Dedicated short-range communications; Collision; Computer science; Warning system; Real-time computing; Collision avoidance; Active safety; Global Positioning System; Simulation; Telecommunications; Wireless; Computer security; Engineering; Automotive engineering","score_opus":0.011766426925186911,"score_gpt":0.19890841009273322,"score_spread":0.1871419831675463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112256392","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":[0.029444048,0.0011069558,0.9445835,0.0005219264,0.00029797686,0.00013601506,0.00047968663,0.0012345335,0.022195425],"genre_scores_gemma":[0.9489292,0.0014113102,0.02387308,0.00011577825,0.00011074537,0.0003598293,0.0004968664,0.00012034418,0.024582904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955827,0.00006805248,0.000025275413,0.00012487198,0.00015750276,0.00006598559],"domain_scores_gemma":[0.99973994,0.0000456501,0.000034635097,0.000016335065,0.0001522239,0.000011217818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029184017,0.001002983,0.00085445633,0.00061670324,0.0006141842,0.000986254,0.0017236638,0.0012050673,0.003955041],"category_scores_gemma":[0.0005481651,0.00040030625,0.00083719013,0.00047436843,0.00039818897,0.0013339929,0.00071997405,0.0010088586,0.00095192465],"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":[0.00005891871,0.000018298631,0.000737438,0.00010497949,0.00002293084,0.00015323536,0.000105518484,0.976611,0.00392768,0.0073955194,0.0011455688,0.009718947],"study_design_scores_gemma":[0.000007505533,0.000018917448,0.0001215151,0.0000050605995,0.000010722784,0.000027004062,0.000007718656,0.997818,0.00034933342,0.00069072377,0.0009363093,0.0000072333123],"about_ca_topic_score_codex":0.016943283,"about_ca_topic_score_gemma":0.005662488,"teacher_disagreement_score":0.016943283,"about_ca_system_score_codex":0.0010175408,"about_ca_system_score_gemma":0.00078494905,"threshold_uncertainty_score":0.03368932},"labels":[],"label_agreement":null},{"id":"W3112750766","doi":"10.1061/9780784483053.008","title":"Short-Term Traffic Flow Prediction Based on Multi-Model by Stacking Ensemble Learning","year":2020,"lang":"en","type":"article","venue":"CICTP 2020","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"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":"","keywords":"Stacking; Computer science; Ensemble learning; Support vector machine; Artificial intelligence; Machine learning; Term (time); Data mining; Base (topology); Algorithm; Mathematics","score_opus":0.018741455987342243,"score_gpt":0.22151361012904533,"score_spread":0.20277215414170308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112750766","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":[0.06493251,0.00051937124,0.9310918,0.00017444187,0.00012319723,0.000032902182,0.0001382462,0.0010009519,0.0019866347],"genre_scores_gemma":[0.9055862,0.00054299785,0.0908387,0.00007626802,0.00012045857,0.000087184584,0.0005355311,0.00006427668,0.002148447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995801,0.00006831921,0.000026980873,0.0001227131,0.00013045984,0.00007146032],"domain_scores_gemma":[0.9995042,0.00014788655,0.00005929398,0.000068904665,0.00018347033,0.000036120113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083238236,0.0011966348,0.0012767859,0.0011435557,0.00058826915,0.001011011,0.0011427891,0.0007479253,0.0009367263],"category_scores_gemma":[0.0014753445,0.0004178482,0.0012427564,0.0012636941,0.00025869807,0.0022913597,0.00080711587,0.00132053,0.0003078995],"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":[0.00006314995,0.000105414416,0.0044649923,0.000039366267,0.0001797543,0.0000816376,0.000060242135,0.84303087,0.0028295626,0.0022233685,0.0014270939,0.14549455],"study_design_scores_gemma":[8.5458197e-7,0.000011533348,0.00020633319,0.0000016820136,0.000010972834,0.0000065479253,0.000004115143,0.9988925,0.0002468402,0.00052147615,0.00009345153,0.000003820967],"about_ca_topic_score_codex":0.010417336,"about_ca_topic_score_gemma":0.008082323,"teacher_disagreement_score":0.010417336,"about_ca_system_score_codex":0.00047791877,"about_ca_system_score_gemma":0.0008676143,"threshold_uncertainty_score":0.020713389},"labels":[],"label_agreement":null}]}