{"meta":{"query_hash":"4021180561a1","filters":{"venue":"IEEE Intelligent Transportation Systems Magazine"},"cohort_total":15,"direct_labels_cover":0,"predictions_cover":15,"exported":15,"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/4021180561a1","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Intelligent+Transportation+Systems+Magazine"},"results":[{"id":"W2040441602","doi":"10.1109/mits.2010.935741","title":"Next Steps for the Grand Cooperative Driving Challenge [ITS Events]","year":2009,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":3,"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 Saskatchewan","funders":"","keywords":"Grand Challenges; Engineering; Aeronautics; Operations research; Computer science; Data science; Engineering management; Political science; Library science; Law","score_opus":0.039171816565042886,"score_gpt":0.27016075860103256,"score_spread":0.23098894203598969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040441602","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":[0.080894426,0.001436575,0.9092253,0.0010169053,0.0027345112,0.0029477633,0.00028599048,0.00064132106,0.00081722136],"genre_scores_gemma":[0.9974029,0.00059862,0.00013286511,0.000097399046,0.00020761418,0.0003860743,0.00026690328,0.000039932613,0.0008676801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982698,0.00002359604,0.0008518794,0.00026796415,0.00028353286,0.00030320403],"domain_scores_gemma":[0.99896026,0.00018346336,0.00009285297,0.00026517894,0.00040906336,0.00008916317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002877137,0.0002792589,0.00029123036,0.00013639442,0.00018423825,0.00006787932,0.00020020916,0.000112904825,0.00005432211],"category_scores_gemma":[0.000013376114,0.00022988082,0.00014510892,0.00039345995,0.000026960215,0.00033707664,4.288896e-7,0.00018438874,0.00008584964],"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":[0.00010106916,0.0002890725,0.00039142606,0.00047001004,0.00044010574,0.000009022053,0.008809984,0.92165995,0.017982645,0.029411197,0.0060701035,0.014365406],"study_design_scores_gemma":[0.005823392,0.0011863505,0.11094694,0.0010752102,0.00093067053,0.000021627846,0.005353421,0.23166241,0.044728015,0.0008373566,0.5945009,0.0029337],"about_ca_topic_score_codex":0.0000061472697,"about_ca_topic_score_gemma":0.0003924906,"teacher_disagreement_score":0.9165085,"about_ca_system_score_codex":0.000057422196,"about_ca_system_score_gemma":0.000029804467,"threshold_uncertainty_score":0.9374268},"labels":[],"label_agreement":null},{"id":"W2783033691","doi":"10.1109/mits.2017.2776123","title":"Harnessing the Power of HPC in Simulation and Optimization of Large Transportation Networks: Spatio-Temporal Traffic Management in the Greater Toronto Area","year":2018,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Soar; Traffic congestion; Computer science; Advanced Traffic Management System; Traffic optimization; Intelligent transportation system; Scale (ratio); Constraint (computer-aided design); Distributed computing; Transport engineering; Operations research; Engineering; Floating car data; Artificial intelligence","score_opus":0.02688243060841645,"score_gpt":0.2954523262839123,"score_spread":0.2685698956754959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783033691","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":[0.62235075,0.00026618788,0.37528804,0.00012095215,0.0003787852,0.0011179808,0.000044622044,0.000034244866,0.00039843874],"genre_scores_gemma":[0.9987262,0.00017805755,0.0005026354,0.000037015732,0.000056948633,0.000053990865,0.00035186825,0.000017013877,0.00007628568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976545,0.00027382647,0.0010516959,0.00026609356,0.0005152963,0.00023861398],"domain_scores_gemma":[0.9989132,0.00015449736,0.00043888527,0.00017799511,0.00027779822,0.000037618265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014061352,0.00017081537,0.00026148118,0.00016936033,0.00016274466,0.000049132777,0.00017662035,0.00012806579,0.00008207362],"category_scores_gemma":[0.000011893077,0.00013073046,0.000060812417,0.0006406297,0.00017824155,0.00045277315,7.209514e-7,0.000093368544,0.0000012563552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013543062,0.000087315384,0.03067504,0.00006691239,0.000019957795,0.000003799989,0.07979017,0.8876224,0.0000038172634,0.0011204703,0.000026262549,0.00044840996],"study_design_scores_gemma":[0.0012091964,0.00014298997,0.3169727,0.000513684,0.000116558076,4.7476613e-7,0.042961676,0.6360332,0.000041913845,0.000028850767,0.0016873905,0.00029135286],"about_ca_topic_score_codex":0.0015318898,"about_ca_topic_score_gemma":0.04787293,"teacher_disagreement_score":0.37637544,"about_ca_system_score_codex":0.00006596558,"about_ca_system_score_gemma":0.000037407277,"threshold_uncertainty_score":0.9695009},"labels":[],"label_agreement":null},{"id":"W2905316674","doi":"10.1109/mits.2018.2884515","title":"Parallel Motion Planning: Learning a Deep Planning Model against Emergencies","year":2018,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":16,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Planner; Computer science; Software deployment; Motion planning; Artificial intelligence; Motion (physics); Robot; Software engineering","score_opus":0.05235142987125792,"score_gpt":0.2906668541260028,"score_spread":0.2383154242547449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905316674","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03814301,0.0005280445,0.956386,0.000076953045,0.0023888901,0.000437474,0.000008285945,0.00081636955,0.001214963],"genre_scores_gemma":[0.93189704,0.000028992403,0.065953135,0.00008191762,0.0003710609,0.00008264742,0.000099544486,0.000049691705,0.0014359767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964299,0.00014447457,0.001105467,0.0008294305,0.00082602294,0.0006646889],"domain_scores_gemma":[0.9981575,0.00009869369,0.0004682434,0.00055155234,0.00047933828,0.00024469386],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007161644,0.00043143582,0.00045726064,0.0004041412,0.00037984352,0.00022482696,0.0008172273,0.00019828287,0.00001003873],"category_scores_gemma":[0.00004749386,0.00043583888,0.00014836162,0.00069411146,0.000083945124,0.0007833651,0.000016469472,0.00039009622,0.00046144356],"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":[0.000021683381,0.00005234923,0.0044877883,0.000083268045,0.000055972414,0.000083684485,0.012421904,0.9776462,0.0018979067,0.00087889784,0.0007161589,0.0016542077],"study_design_scores_gemma":[0.0002991405,0.00016798302,0.0029618568,0.00031007716,0.000023825902,0.000018818277,0.0004992131,0.9926428,0.0010640116,0.00013584441,0.0013980491,0.00047837722],"about_ca_topic_score_codex":0.000029973526,"about_ca_topic_score_gemma":0.000005081431,"teacher_disagreement_score":0.893754,"about_ca_system_score_codex":0.00010602102,"about_ca_system_score_gemma":0.00008401098,"threshold_uncertainty_score":0.9998093},"labels":[],"label_agreement":null},{"id":"W2982141760","doi":"10.1109/mits.2019.2939037","title":"Special Section on Modeling & Simulation of Application Scenarios for Autonomous Vehicles [Guest Editorial]","year":2019,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Transportation and Mobility Innovations","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":"Acadia University","funders":"","keywords":"Special section; Section (typography); Aeronautics; Computer science; Systems engineering; Engineering; Operations research; Telecommunications; Simulation; Engineering physics; Operating system","score_opus":0.02451721191787113,"score_gpt":0.2620340447631555,"score_spread":0.23751683284528438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982141760","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":[0.3668573,0.000016878876,0.56503606,0.000013734402,0.06556966,0.0016359091,0.00022410613,0.00028027018,0.00036609801],"genre_scores_gemma":[0.9645013,0.000014024907,0.0001835312,0.000009788421,0.03366886,0.0002353598,0.0011089506,0.000053361637,0.00022477897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980796,0.000017097453,0.0010434948,0.00029950903,0.00036588294,0.0001944028],"domain_scores_gemma":[0.9988192,0.000112756694,0.00017442125,0.00028176417,0.00055332837,0.00005854095],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027759088,0.00022470913,0.0003114221,0.00027471886,0.000056022473,0.000029761693,0.00010530318,0.00021267029,0.000022627268],"category_scores_gemma":[0.000010772137,0.0002519597,0.00012865149,0.00034023423,0.000017792354,0.00022768968,5.114249e-7,0.00016053236,0.00014243335],"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":[0.000099832825,0.00007827182,0.00033505377,0.0003968834,0.000049206716,9.213668e-8,0.00071967865,0.97074944,0.024164125,0.00054869155,0.0025064135,0.00035231278],"study_design_scores_gemma":[0.000718994,0.00011036909,0.0006223379,0.0001240185,0.000063232896,3.7109638e-7,0.00014374936,0.79416645,0.0050240993,0.00005430891,0.19865504,0.00031700725],"about_ca_topic_score_codex":0.000050036735,"about_ca_topic_score_gemma":0.0002990575,"teacher_disagreement_score":0.59764403,"about_ca_system_score_codex":0.00013475293,"about_ca_system_score_gemma":0.000039755756,"threshold_uncertainty_score":0.99999326},"labels":[],"label_agreement":null},{"id":"W3035373417","doi":"10.1109/mits.2020.3014124","title":"Softwarization, Virtualization, and Machine Learning for Intelligent and Effective Vehicle-to-Everything Communications","year":2020,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Key (lock); Context (archaeology); Cloud computing; Virtualization; Upgrade; Function (biology); Mobile edge computing; Mobile telephony; Enhanced Data Rates for GSM Evolution","score_opus":0.023370605807132964,"score_gpt":0.23505547310694994,"score_spread":0.21168486729981698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035373417","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":[0.05531323,0.0025026123,0.9389276,0.00038995285,0.0003468659,0.0018756248,0.00007597997,0.0005251749,0.00004296559],"genre_scores_gemma":[0.9959625,0.0008865966,0.0017430385,0.00022201195,0.00015170094,0.0003339014,0.00050896924,0.0001014112,0.00008987756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983245,0.00009998653,0.0006956657,0.00037771888,0.00021981374,0.0002822804],"domain_scores_gemma":[0.99872434,0.00035323558,0.00010991449,0.00024801903,0.00026511803,0.0002993534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032169,0.00029975516,0.00037888458,0.00014638547,0.00020019159,0.00012636685,0.00019338778,0.00012600877,0.000007844615],"category_scores_gemma":[0.000109105305,0.00033111026,0.00006078982,0.0004351411,0.00005620996,0.00023428962,0.000013396605,0.0002580056,0.00003541153],"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":[0.000038652965,0.000018970957,0.00438441,0.00048204936,0.0001224632,0.0000024811782,0.005736887,0.979169,0.0030754975,0.000856189,0.00042196104,0.0056914045],"study_design_scores_gemma":[0.00038078654,0.00016815994,0.0015371364,0.0001728755,0.000094619245,0.0000059791964,0.00028044716,0.94242215,0.002043002,0.000039651273,0.05249295,0.00036222136],"about_ca_topic_score_codex":0.000028661738,"about_ca_topic_score_gemma":0.000105659805,"teacher_disagreement_score":0.9406493,"about_ca_system_score_codex":0.00006727913,"about_ca_system_score_gemma":0.000015702843,"threshold_uncertainty_score":0.9999141},"labels":[],"label_agreement":null},{"id":"W3165570722","doi":"10.1109/mits.2021.3070651","title":"Acclimatizing the Operational Design Domain for Autonomous Driving Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":58,"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 Waterloo","funders":"","keywords":"Scope (computer science); Domain (mathematical analysis); Task (project management); Process (computing); Computer science; Systems engineering; Iterative and incremental development; Work (physics); Proof of concept; Transport engineering; Simulation; Engineering; Software engineering","score_opus":0.027693032101464034,"score_gpt":0.2362428627812052,"score_spread":0.20854983067974117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165570722","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":[0.012142502,0.0026682457,0.9748609,0.00010871494,0.007039009,0.0018390067,0.00011632232,0.00074217835,0.00048313022],"genre_scores_gemma":[0.9892936,0.00008141959,0.0070699486,0.000028390852,0.0007124875,0.0014325378,0.00023913,0.0001540803,0.0009884549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725014,0.00012024204,0.0013178223,0.0004099676,0.00041393886,0.00048790016],"domain_scores_gemma":[0.9982761,0.000588818,0.000141846,0.0004945443,0.00037340197,0.00012529134],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00089537556,0.0004076994,0.0005066277,0.00014769485,0.00020101767,0.00031410484,0.00031208564,0.00017530887,0.00002941958],"category_scores_gemma":[0.00003471242,0.0003671293,0.00019420918,0.00038766803,0.000033945158,0.0002838851,0.000004020792,0.00022495283,0.00015494901],"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":[0.000007008469,0.000019548233,0.0001804899,0.00060887914,0.00020382612,0.000023167413,0.0011754491,0.97293687,0.017234795,0.0051221754,0.0022783459,0.00020944487],"study_design_scores_gemma":[0.0005720469,0.000041806852,0.0009908724,0.000584434,0.000094753625,0.00013817163,0.0012498911,0.8442927,0.011895351,0.000052320614,0.13939773,0.00068994786],"about_ca_topic_score_codex":0.000018988228,"about_ca_topic_score_gemma":0.000029093191,"teacher_disagreement_score":0.97715104,"about_ca_system_score_codex":0.00032583086,"about_ca_system_score_gemma":0.00013222673,"threshold_uncertainty_score":0.99987805},"labels":[],"label_agreement":null},{"id":"W4233946159","doi":"10.1109/mits.2013.2281112","title":"2013 IEEE ITSS Best Ph.D. Dissertation Awards Announcement","year":2013,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Mobile Agent-Based Network Management","field":"Computer Science","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 Toronto","funders":"","keywords":"Computer science; Computer network","score_opus":0.020891011047971392,"score_gpt":0.2585981433773302,"score_spread":0.23770713232935883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233946159","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":[0.0980261,0.00054361427,0.89188385,0.00065736246,0.0049289353,0.0025184469,0.000019646415,0.00040537986,0.0010166467],"genre_scores_gemma":[0.98921824,0.0004197333,0.0019524577,0.00029982033,0.00033641167,0.0013638353,0.00020518489,0.000051827425,0.006152487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99570763,0.00014897801,0.0013809896,0.000940341,0.0011454428,0.00067659235],"domain_scores_gemma":[0.99745667,0.000099544326,0.00047540467,0.0010246217,0.0006377523,0.00030598431],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005194698,0.0004909171,0.0004552396,0.00034104983,0.00018734629,0.0004885981,0.0010424398,0.00013302465,0.00025327626],"category_scores_gemma":[0.0000063689686,0.00046854312,0.00019170831,0.0008633234,0.000052814667,0.001304069,0.000013235972,0.00021120449,0.005714141],"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":[0.00006033397,0.0010902402,0.0045483503,0.001025237,0.0005011008,0.00015655039,0.005047903,0.7266007,0.017654,0.016722208,0.1715802,0.05501317],"study_design_scores_gemma":[0.0019974255,0.0010979295,0.01665126,0.00096027344,0.00024316888,0.000020838614,0.0015027922,0.72386223,0.023403954,0.00067012577,0.22699156,0.0025984151],"about_ca_topic_score_codex":0.0014124727,"about_ca_topic_score_gemma":0.00051278895,"teacher_disagreement_score":0.89119214,"about_ca_system_score_codex":0.0002689388,"about_ca_system_score_gemma":0.00009305112,"threshold_uncertainty_score":0.9997766},"labels":[],"label_agreement":null},{"id":"W4385300699","doi":"10.1109/mits.2023.3294590","title":"When Blockchain Meets Urban Rail Transit: Current Prospects, Case Studies, and Future Challenges","year":2023,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Fundamental Research Funds for the Central Universities; Beijing Jiaotong University; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Blockchain; Traceability; Computer science; Authentication (law); Urban rail transit; Computer security; Smart contract; Risk analysis (engineering); Engineering; Process management; Systems engineering; Business; Transport engineering","score_opus":0.038822496803617546,"score_gpt":0.2818990767592833,"score_spread":0.24307657995566573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385300699","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":[0.31768626,0.26692614,0.3615541,0.03418785,0.008028243,0.0054363306,0.00025212645,0.0057032933,0.00022565784],"genre_scores_gemma":[0.9845387,0.013441093,0.00082599773,0.000036594534,0.0003858323,0.0005085143,0.000025208807,0.000029416939,0.00020865301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975662,0.00009059197,0.00073137565,0.0008342896,0.00036247965,0.00041501064],"domain_scores_gemma":[0.9985619,0.00010275067,0.00019917342,0.0006954925,0.0002840408,0.00015664502],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068361,0.00034525624,0.00046877755,0.0003787453,0.00025532962,0.000069117974,0.00045906525,0.00020112489,0.00000426528],"category_scores_gemma":[0.0000072421585,0.000314669,0.00009574717,0.000769757,0.00012771513,0.00013900838,0.00001770509,0.00031694834,0.00009023014],"study_design_candidate":"not_applicable","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":[0.000037017962,0.0003646056,0.00041028988,0.002668737,0.00046438328,0.0026002438,0.07647486,0.0010369554,0.00066749123,0.72053033,0.013155589,0.18158948],"study_design_scores_gemma":[0.0024947764,0.00060337095,0.002965707,0.0008282674,0.00028933308,0.0024876955,0.011723894,0.06899329,0.005157147,0.025544599,0.8764749,0.0024370027],"about_ca_topic_score_codex":0.000022315478,"about_ca_topic_score_gemma":0.0003753421,"teacher_disagreement_score":0.86331934,"about_ca_system_score_codex":0.000055102995,"about_ca_system_score_gemma":0.000041192918,"threshold_uncertainty_score":0.99993056},"labels":[],"label_agreement":null},{"id":"W4389474314","doi":"10.1109/mits.2023.3334769","title":"Sight Distance of Automated Vehicles Considering Highway Vertical Alignments and Its Implications for Speed Limits","year":2023,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Traffic and Road Safety","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Lidar; Sight; Design speed; Geometric design; Computer science; Speed limit; Consistency (knowledge bases); Tangent; Simulation; Algorithm; Artificial intelligence; Geometry; Mathematics; Remote sensing; Engineering; Physics; Geology; Transport engineering","score_opus":0.03707083538854956,"score_gpt":0.26989073252208867,"score_spread":0.23281989713353912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389474314","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":[0.93582946,0.00069348473,0.059470195,0.00012816714,0.0008016379,0.00083118916,0.00050339464,0.0016137147,0.00012874504],"genre_scores_gemma":[0.99912983,0.0002897845,0.000092591086,0.000005781484,0.000044232627,0.00007267009,0.00017419105,0.00004055955,0.00015037661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878466,0.000014221281,0.00062121724,0.00020813716,0.00014035715,0.00023139364],"domain_scores_gemma":[0.9994379,0.00016766551,0.000048853704,0.0001352091,0.00011333779,0.00009698132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012237477,0.00016701652,0.00027473833,0.000112787464,0.000056858542,0.000017175933,0.000081473285,0.000089838846,0.0000040104123],"category_scores_gemma":[0.0000113575425,0.0001637797,0.00006204536,0.0002791987,0.000033130204,0.000098918106,0.0000014518005,0.0000561773,0.000043513257],"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":[0.000078303405,0.000080550795,0.00630543,0.0022419468,0.0003207106,0.000010543506,0.0019128348,0.60416836,0.36984098,0.009394245,0.00425417,0.0013919057],"study_design_scores_gemma":[0.0010308573,0.000086618726,0.21212934,0.0004586332,0.00014112094,0.0000074550167,0.00025809367,0.62840056,0.14608772,0.00009040297,0.010796714,0.0005124844],"about_ca_topic_score_codex":0.0000035400735,"about_ca_topic_score_gemma":0.000022728133,"teacher_disagreement_score":0.22375326,"about_ca_system_score_codex":0.00003321772,"about_ca_system_score_gemma":0.000014643326,"threshold_uncertainty_score":0.6678742},"labels":[],"label_agreement":null},{"id":"W4390777611","doi":"10.1109/mits.2023.3345930","title":"How to Guarantee Driving Safety for Autonomous Vehicles in a Real-World Environment: A Perspective on Self-Evolution Mechanisms","year":2024,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":20,"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 Waterloo","funders":"National Key Research and Development Program of China","keywords":"Perspective (graphical); Process (computing); Computer science; Work (physics); Feature (linguistics); Autonomous system (mathematics); Systems engineering; Artificial intelligence; Human–computer interaction; Engineering","score_opus":0.013611837402869703,"score_gpt":0.23381114482106458,"score_spread":0.22019930741819488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390777611","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":[0.1496397,0.0014551495,0.83396083,0.00049609,0.005445594,0.0041483506,0.0003023988,0.001986814,0.0025650917],"genre_scores_gemma":[0.9944428,0.00024828012,0.0004769236,0.000012768305,0.0002694964,0.0005585803,0.00004632644,0.00011065595,0.0038341668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979323,0.000045923847,0.00070628326,0.00056544074,0.00030974086,0.00044030137],"domain_scores_gemma":[0.99937063,0.00015529597,0.000061434315,0.00026129105,0.0000506779,0.00010067096],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038583254,0.00037945402,0.00044634112,0.0008010518,0.0000711027,0.0001812481,0.00016372725,0.00014500806,0.000012253279],"category_scores_gemma":[0.0000051992315,0.00036903998,0.00017972334,0.00037778696,0.00001481005,0.00022407615,0.000001865518,0.00022758533,0.0001961943],"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":[0.000085526895,0.000083163904,0.000049765364,0.0014561001,0.00025085497,0.000059319435,0.004907455,0.92835647,0.01727951,0.045042973,0.0006608397,0.0017680047],"study_design_scores_gemma":[0.00171559,0.00094574416,0.006995026,0.006271598,0.00030601537,0.000034529145,0.0061934562,0.65046126,0.12562092,0.0034021079,0.1955201,0.0025336677],"about_ca_topic_score_codex":0.0004162827,"about_ca_topic_score_gemma":0.001518287,"teacher_disagreement_score":0.8448031,"about_ca_system_score_codex":0.0015913461,"about_ca_system_score_gemma":0.00003800326,"threshold_uncertainty_score":0.99987614},"labels":[],"label_agreement":null},{"id":"W4400410871","doi":"10.1109/mits.2024.3401536","title":"An Introduction to the Smart Urban Mobility Laboratory at University of South Florida [ITS Research Lab]","year":2024,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Smart Grid Energy Management","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":"Engineering; Aeronautics; Computer science","score_opus":0.02533476871600223,"score_gpt":0.25125975821735547,"score_spread":0.22592498950135323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400410871","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":[0.9325451,0.00087331765,0.057198085,0.0004138273,0.0068685943,0.00090349565,0.00027403276,0.0005596751,0.00036384494],"genre_scores_gemma":[0.99701804,0.000067604604,0.000038616814,0.00000598592,0.000934693,0.000025275582,0.000098222496,0.000041459443,0.0017701312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982489,0.0001546946,0.00039579498,0.00040190935,0.0005292654,0.00026946684],"domain_scores_gemma":[0.9989079,0.000059864968,0.000029820889,0.0005211527,0.00035850206,0.0001227181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012840845,0.00016916312,0.00019554657,0.0002935615,0.00010486725,0.000050196337,0.0002869478,0.000078508,0.0001229017],"category_scores_gemma":[0.000011042234,0.00015718212,0.000064804815,0.001105966,0.000055575063,0.00021727689,0.0000073174,0.00022116577,0.00063333125],"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":[0.000056477536,0.00003647415,0.0011274082,0.0007123595,0.00012696895,0.00002136404,0.0067269476,0.9245972,0.016662853,0.0017485288,0.04797737,0.00020602651],"study_design_scores_gemma":[0.00014157072,0.00015699731,0.012294017,0.00013567224,0.00007732512,0.000001521745,0.0024244436,0.07453102,0.031828284,0.000006083452,0.8780913,0.00031181143],"about_ca_topic_score_codex":0.000111746886,"about_ca_topic_score_gemma":0.00095772836,"teacher_disagreement_score":0.8500662,"about_ca_system_score_codex":0.00033501233,"about_ca_system_score_gemma":0.000035652625,"threshold_uncertainty_score":0.81404036},"labels":[],"label_agreement":null},{"id":"W4401441818","doi":"10.1109/mits.2024.3430938","title":"Autonomous Airborne Transportation: Field Trials in Urban Water Landscapes","year":2024,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Field trial; Environmental science; Field (mathematics); Remote sensing; Transport engineering; Engineering; Marine engineering; Aeronautics; Geography","score_opus":0.03641116246291417,"score_gpt":0.28766572654515343,"score_spread":0.2512545640822393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401441818","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":[0.019887019,0.0018363227,0.9686279,0.0008921525,0.0065444466,0.00082156644,0.00008778619,0.0007856062,0.00051719794],"genre_scores_gemma":[0.9915414,0.000082375096,0.0041461345,0.00011490873,0.00041754838,0.00018926665,0.00022406694,0.000039457034,0.0032448827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99598855,0.00025745854,0.0019558722,0.0007657312,0.00054051494,0.000491869],"domain_scores_gemma":[0.9984966,0.00062352157,0.00015382053,0.00045841877,0.00011877274,0.00014885241],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022049341,0.00035496295,0.0007935696,0.00056155043,0.000057197904,0.00035931313,0.00056841876,0.0002033858,0.00012483931],"category_scores_gemma":[0.000034950663,0.00027322033,0.00026329502,0.00063366257,0.00002041836,0.00067200593,0.000002859309,0.00032693904,0.0010146676],"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":[0.000300252,0.00078530627,0.009749381,0.003903333,0.0009647132,0.008707274,0.10551749,0.678949,0.014522264,0.053128786,0.07465947,0.048812717],"study_design_scores_gemma":[0.0017649345,0.0006730413,0.012147867,0.0025309394,0.00023196563,0.0000951874,0.00043654113,0.6966973,0.06612117,0.000706749,0.21670973,0.0018845667],"about_ca_topic_score_codex":0.00020887624,"about_ca_topic_score_gemma":0.00013805635,"teacher_disagreement_score":0.97165436,"about_ca_system_score_codex":0.00008877261,"about_ca_system_score_gemma":0.00011051002,"threshold_uncertainty_score":0.999972},"labels":[],"label_agreement":null},{"id":"W4403421331","doi":"10.1109/mits.2024.3471674","title":"Signal Detection Techniques in Social Internet of Vehicles: Review and Challenges","year":2024,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Technology and Security Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Ministry of Natural Resources","keywords":"The Internet; Computer science; Telecommunications; Internet privacy; Computer security; World Wide Web","score_opus":0.034374939213469034,"score_gpt":0.2699715222019164,"score_spread":0.23559658298844735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403421331","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":[0.027157879,0.26096556,0.70618457,0.00194645,0.0009850516,0.0012980639,0.00002079287,0.0009631191,0.00047854884],"genre_scores_gemma":[0.98626727,0.013278142,0.00014961716,0.000026910102,0.000049930102,0.00009669925,0.0000041534445,0.000010213065,0.000117076],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985793,0.00009199025,0.00066303444,0.00034295177,0.00018237144,0.00014035116],"domain_scores_gemma":[0.99957436,0.000056429704,0.00011131659,0.00014874016,0.000080906924,0.000028220333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059494347,0.00014281449,0.000343639,0.00030583332,0.000021206411,0.000035853125,0.0002496548,0.00015982553,0.0000046752953],"category_scores_gemma":[0.0000046320674,0.00013369112,0.00006457696,0.00036381074,0.000056176636,0.00022771063,0.000006407787,0.00019068753,0.00001975046],"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":[0.00003989422,0.0002602375,0.00076753873,0.051330566,0.00025718226,0.00023375265,0.023600904,0.000030805575,0.023558177,0.18858966,0.0020339128,0.70929736],"study_design_scores_gemma":[0.0009971504,0.0019298192,0.014803463,0.04198709,0.00045819354,0.00051729236,0.0018132891,0.054371126,0.39498413,0.008277169,0.47731355,0.0025477346],"about_ca_topic_score_codex":0.000076737066,"about_ca_topic_score_gemma":0.00023455994,"teacher_disagreement_score":0.95910937,"about_ca_system_score_codex":0.00003683296,"about_ca_system_score_gemma":0.000021539316,"threshold_uncertainty_score":0.54517657},"labels":[],"label_agreement":null},{"id":"W4403919687","doi":"10.1109/mits.2024.3479694","title":"A Novel Perspective of Energy Management Strategies on Multistack Fuel Cell Hybrid Electric Vehicles: Trends and Challenges","year":2024,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Fuel Cells and Related Materials","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":"Université de Sherbrooke; Université du Québec à Trois-Rivières","funders":"","keywords":"Perspective (graphical); Fuel cells; Energy management; Automotive engineering; Energy (signal processing); Systems engineering; Engineering; Computer science; Artificial intelligence; Physics","score_opus":0.018063557795519946,"score_gpt":0.22652448822019805,"score_spread":0.20846093042467811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403919687","genre_codex":"review","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":[0.14150414,0.5922144,0.06424353,0.00024416973,0.0072814203,0.0011310566,0.00073370093,0.0017651353,0.19088246],"genre_scores_gemma":[0.9263412,0.07238856,0.00007224704,0.0000030497672,0.00007763657,0.00004076694,0.000034090543,0.00005169143,0.0009907995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876684,0.000017887616,0.00049013883,0.00030879298,0.00021442454,0.00020190715],"domain_scores_gemma":[0.9996347,0.00004337358,0.00005342645,0.0001430741,0.000065019885,0.00006042422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001051857,0.00024996194,0.0002934029,0.00042209847,0.000019199573,0.00007437711,0.00008101533,0.00008698381,0.000025638266],"category_scores_gemma":[4.5905017e-7,0.00022280903,0.000078941994,0.00023804721,0.000026117286,0.000117497526,0.0000015408702,0.00010168228,0.000027100836],"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":[0.00017518271,0.00040776603,0.000005026078,0.047099773,0.0011967169,0.00041471882,0.0071663023,0.67744905,0.19329457,0.060409587,0.0011454578,0.0112358555],"study_design_scores_gemma":[0.003350393,0.0018381901,0.0025683388,0.005262539,0.0011805261,0.00012355176,0.014590327,0.29606944,0.46284956,0.0019598615,0.20724607,0.0029612128],"about_ca_topic_score_codex":0.00007257117,"about_ca_topic_score_gemma":0.00003119261,"teacher_disagreement_score":0.784837,"about_ca_system_score_codex":0.00007249925,"about_ca_system_score_gemma":0.000011064138,"threshold_uncertainty_score":0.9085888},"labels":[],"label_agreement":null},{"id":"W4408858320","doi":"10.1109/mits.2025.3526319","title":"Networked Optimization, Diagnosis, and Estimation Laboratory at the University of Alberta [Its Research Lab]","year":2025,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estimation; Engineering; Computer science; Systems engineering; Engineering management","score_opus":0.016250028855438213,"score_gpt":0.2566015186281239,"score_spread":0.2403514897726857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408858320","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":[0.4099437,0.013832565,0.5691008,0.00020775787,0.0016741668,0.0013450802,0.00008312561,0.00032824936,0.0034845565],"genre_scores_gemma":[0.99643856,0.0010689817,0.0005103303,0.000004752408,0.000023412962,0.000021381209,0.00004553348,0.000021804159,0.0018652575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913216,0.00007623838,0.00028247203,0.00015589653,0.00019699434,0.00015621912],"domain_scores_gemma":[0.99926573,0.00028567866,0.000041770792,0.00017188588,0.00019352083,0.00004139001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033873785,0.00011536585,0.0001526283,0.00013664943,0.00012333863,0.000020408774,0.00012319878,0.00007852985,0.00006923085],"category_scores_gemma":[0.000025111072,0.00011489911,0.000026427977,0.00055967126,0.00007279228,0.00011683985,0.0000060123957,0.00015133004,0.00003513906],"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":[0.000012292181,0.000012847386,0.0014606507,0.0002984743,0.000050471353,0.0000019030099,0.0012260881,0.9912257,0.0023284545,0.0005237443,0.002575571,0.0002837754],"study_design_scores_gemma":[0.00023194613,0.000024943361,0.0035130747,0.0004233087,0.000034434233,8.085801e-7,0.0005015713,0.94391066,0.014394235,0.0000035603828,0.0368133,0.00014818777],"about_ca_topic_score_codex":0.00010113956,"about_ca_topic_score_gemma":0.00020479408,"teacher_disagreement_score":0.58649486,"about_ca_system_score_codex":0.00012740992,"about_ca_system_score_gemma":0.000019427922,"threshold_uncertainty_score":0.46854496},"labels":[],"label_agreement":null}]}