{"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":"commentary","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":[0.01574045,0.0066170334,0.018486373,0.6122871,0.05335981,0.0017509657,0.0049091172,0.00134418,0.2855049],"genre_scores_gemma":[0.16145645,0.006034893,0.05954445,0.16424403,0.008749604,0.0033564884,0.0175234,0.0013120071,0.57777864],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968099,0.0005918388,0.00008604353,0.00021932939,0.0010721335,0.0012208073],"domain_scores_gemma":[0.9921731,0.00037161892,0.00013015872,0.00027786373,0.0016365726,0.005410748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008913161,0.00072729075,0.00038680682,0.00051359215,0.0057151234,0.009324423,0.0028297917,0.01160674,0.040250964],"category_scores_gemma":[0.0076509006,0.00052749424,0.0009085226,0.00048202084,0.0014045715,0.0048555047,0.0069652796,0.00778564,0.019305503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064637825,0.00017224909,0.0004681666,0.000100860234,0.000009439059,0.00018987377,0.0006367445,0.00040998516,0.0005965388,0.023346314,0.95383894,0.020166209],"study_design_scores_gemma":[0.000015009617,0.000045342927,0.00056545605,0.00008124668,0.0000029204,0.00003499322,0.0011870993,0.00017050064,0.00014000785,0.0061949403,0.9915461,0.00001643191],"about_ca_topic_score_codex":0.027380649,"about_ca_topic_score_gemma":0.049276687,"teacher_disagreement_score":0.040250964,"about_ca_system_score_codex":0.0027422232,"about_ca_system_score_gemma":0.020611824,"threshold_uncertainty_score":0.13465285},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8707008,0.0010506917,0.088856466,0.004996681,0.0001060914,0.0001038272,0.00073352753,0.0010554902,0.032396447],"genre_scores_gemma":[0.9788643,0.00044528334,0.017803498,0.0000614762,0.000022645358,0.00002538306,0.00027857814,0.000056584326,0.0024422505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980384,0.0000728341,0.000006665443,0.00003152894,0.000044727378,0.000040472376],"domain_scores_gemma":[0.99948275,0.0002466744,0.00002989673,0.000058232952,0.00009316877,0.000089179426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046893157,0.00045255022,0.00025493032,0.00035490413,0.0013458964,0.0009289512,0.000833185,0.0006827459,0.0014143209],"category_scores_gemma":[0.0013834652,0.00019470784,0.00025856664,0.0010146546,0.0011886611,0.0005745181,0.0007489256,0.0007253015,0.000112818896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049303097,0.000042378964,0.0065182303,0.00003045394,0.000022355925,0.00016367188,0.00018416767,0.9697092,0.00095973734,0.0083232,0.002446378,0.011550843],"study_design_scores_gemma":[0.000009115972,0.000008262648,0.0016917929,0.0000041346884,0.0000048854117,0.000007766572,0.000101680555,0.99502724,0.00029451103,0.0012374216,0.0016070213,0.0000061677283],"about_ca_topic_score_codex":0.71478295,"about_ca_topic_score_gemma":0.7582792,"teacher_disagreement_score":0.28521705,"about_ca_system_score_codex":0.0042169415,"about_ca_system_score_gemma":0.004699576,"threshold_uncertainty_score":0.5737935},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031678513,0.00024305901,0.96382105,0.00055375,0.000066480585,0.000057659992,0.00016458011,0.0009215241,0.0024933952],"genre_scores_gemma":[0.8832607,0.00026393894,0.11156077,0.00029470812,0.000069039124,0.00015351966,0.00043284145,0.00012810715,0.0038363868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996617,0.000073386786,0.00001175774,0.000117577234,0.00006936786,0.000066174856],"domain_scores_gemma":[0.99936837,0.00028939193,0.00009993853,0.00006574694,0.00010958362,0.00006693929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008393739,0.00094241265,0.0006742349,0.00041007984,0.0003360254,0.0005372352,0.0017713576,0.0010518228,0.001982348],"category_scores_gemma":[0.0022837874,0.00063349726,0.0005301941,0.000425257,0.00095183577,0.001123565,0.0011561167,0.001950408,0.00029937678],"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":[0.000025376004,0.000012939972,0.00026938797,0.000010179508,0.000010328931,0.000024955298,0.000014205519,0.98506236,0.00033613417,0.0023891774,0.0006910012,0.011154045],"study_design_scores_gemma":[0.000002120586,0.000007262714,0.000022691947,0.0000011103975,0.0000015118076,0.0000033011627,0.0000012280107,0.9983364,0.00009786318,0.0014207851,0.00010468861,0.0000011367623],"about_ca_topic_score_codex":0.013125205,"about_ca_topic_score_gemma":0.013148406,"teacher_disagreement_score":0.013125205,"about_ca_system_score_codex":0.000991265,"about_ca_system_score_gemma":0.0017615436,"threshold_uncertainty_score":0.026097655},"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":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007753114,0.004539407,0.0009467962,0.0070974887,0.9832322,0.00002544092,0.00006377921,0.000108769214,0.0039086123],"genre_scores_gemma":[0.000838743,0.005754114,0.00029626943,0.0033461945,0.9745894,0.000028314327,0.000080222584,0.00014134176,0.014925328],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979576,0.0002570838,0.000230625,0.0004375794,0.00094968604,0.00016740987],"domain_scores_gemma":[0.9884343,0.0038150183,0.0007184489,0.00037619573,0.004891683,0.0017643032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026555702,0.0026995223,0.0025675576,0.0028770072,0.0013850136,0.0045306077,0.0020446144,0.0055986363,0.033944808],"category_scores_gemma":[0.0076499744,0.0007418522,0.0016405736,0.0011557885,0.0011538892,0.0027939528,0.0014172656,0.0065479595,0.020533016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042508535,0.000017590632,0.000036802146,0.00016783632,0.000013626654,0.00009297611,0.000008308069,0.00014709645,0.00028171352,0.0005803951,0.9864352,0.012175957],"study_design_scores_gemma":[0.000030057266,0.00008738713,0.0002363344,0.00023398323,0.000035093217,0.00032552093,0.00001303955,0.0007789699,0.00039405975,0.0013817808,0.9964652,0.000018496741],"about_ca_topic_score_codex":0.0006608315,"about_ca_topic_score_gemma":0.0014653604,"teacher_disagreement_score":0.033944808,"about_ca_system_score_codex":0.001272907,"about_ca_system_score_gemma":0.0012291676,"threshold_uncertainty_score":0.11355674},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029503448,0.0134073775,0.93337685,0.0061077755,0.00042567693,0.00007143199,0.00004788555,0.000540878,0.016518712],"genre_scores_gemma":[0.85272163,0.014441814,0.12687896,0.00082458236,0.0006471193,0.000095778,0.00011709702,0.0000736985,0.004199276],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992021,0.00029104887,0.00004008983,0.00011175109,0.00022592799,0.00012904429],"domain_scores_gemma":[0.99896955,0.0006647365,0.00008604282,0.00013683022,0.00009366888,0.000049057428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011551144,0.0005607439,0.0005401462,0.0005168811,0.00057611597,0.002593154,0.000826805,0.0009408636,0.001176989],"category_scores_gemma":[0.0024537176,0.00023930644,0.00043568522,0.00066901435,0.0017252801,0.0046010558,0.0018103016,0.00267063,0.00027467665],"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":[0.000101378515,0.0001281156,0.0017827787,0.00042307936,0.00008922789,0.00017930963,0.00033587692,0.23054862,0.0073932437,0.4278545,0.0066713262,0.32449257],"study_design_scores_gemma":[0.000009502426,0.00010093507,0.0005222775,0.00012612253,0.000018347648,0.000108206994,0.00019825382,0.71488833,0.004635348,0.25583583,0.02351747,0.000039261613],"about_ca_topic_score_codex":0.0011823424,"about_ca_topic_score_gemma":0.0011846048,"teacher_disagreement_score":0.002593154,"about_ca_system_score_codex":0.0009724318,"about_ca_system_score_gemma":0.0011324643,"threshold_uncertainty_score":0.007055521},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04377236,0.000093063325,0.9463775,0.00038361267,0.000026220194,0.00024170577,0.0000580783,0.00084942527,0.0081980005],"genre_scores_gemma":[0.33296666,0.00018252365,0.66169345,0.00022223245,0.000013309325,0.00025679782,0.00027626866,0.00031098863,0.0040778597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975592,0.0011068794,0.00020006634,0.0003014554,0.00066067337,0.00017167963],"domain_scores_gemma":[0.9968798,0.0012887625,0.00028087368,0.0008614699,0.00059476553,0.00009420803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027664038,0.0005481946,0.00017689419,0.0006250741,0.0006139152,0.0016974581,0.0007669777,0.0005980295,0.0017322568],"category_scores_gemma":[0.0061037694,0.00049858884,0.0007218358,0.00023508561,0.0016611749,0.0021642046,0.002972584,0.0017769389,0.0003836122],"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":[0.00018236628,0.00031733498,0.007895463,0.00084260403,0.00006674792,0.0009181828,0.0092280125,0.10763838,0.121249616,0.42584243,0.0037067716,0.32211208],"study_design_scores_gemma":[0.00007347246,0.0003774909,0.0032180806,0.0004923588,0.00009429239,0.0012105604,0.0031434319,0.38985416,0.13053696,0.18844864,0.2824323,0.0001183031],"about_ca_topic_score_codex":0.0018804077,"about_ca_topic_score_gemma":0.0034747466,"teacher_disagreement_score":0.0027664038,"about_ca_system_score_codex":0.0009804603,"about_ca_system_score_gemma":0.0020918895,"threshold_uncertainty_score":0.014630318},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003949168,0.009143337,0.010082765,0.11331429,0.11814835,0.0006597557,0.0058487896,0.0026353032,0.7362183],"genre_scores_gemma":[0.011543021,0.009250498,0.0042748763,0.0056930613,0.01584267,0.000391557,0.0046914057,0.00086705724,0.94744575],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99718297,0.00025701217,0.00010876572,0.00023365745,0.0018190606,0.0003985632],"domain_scores_gemma":[0.9899324,0.0002853269,0.00026095423,0.0003305084,0.0056604724,0.0035303687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008012631,0.0015405979,0.0016005954,0.003556605,0.00269876,0.0098917335,0.0012871174,0.0035106642,0.19311096],"category_scores_gemma":[0.008380437,0.00051868596,0.00128341,0.0018681163,0.00088228984,0.0028146612,0.003231695,0.004643534,0.20499513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051171737,0.00008631044,0.00025258187,0.00005754145,0.0000065650092,0.000045189918,0.000020597945,0.00018148756,0.00037081362,0.0027369815,0.9605589,0.035631724],"study_design_scores_gemma":[0.000027758873,0.00008247885,0.0008451644,0.00013535906,0.00001714705,0.00007701538,0.00011803661,0.00082589645,0.00046190992,0.0022914652,0.99510056,0.000017198245],"about_ca_topic_score_codex":0.0046301666,"about_ca_topic_score_gemma":0.008303114,"teacher_disagreement_score":0.19311096,"about_ca_system_score_codex":0.003484421,"about_ca_system_score_gemma":0.008962303,"threshold_uncertainty_score":0.64602053},"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":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49147722,0.038237005,0.10649681,0.1386805,0.0006950412,0.00056497153,0.00062019017,0.0005305268,0.22269784],"genre_scores_gemma":[0.9618678,0.012113071,0.015148417,0.0009536031,0.00014706873,0.00008537195,0.00019457258,0.000040523315,0.00944938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99694127,0.0016712165,0.0000918363,0.00019638808,0.00061459397,0.0004846492],"domain_scores_gemma":[0.9956474,0.002474663,0.00030300132,0.00041435007,0.0007172024,0.00044330923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004667198,0.00026361932,0.00029340782,0.000665428,0.0018314212,0.004798051,0.00078548666,0.003488488,0.0051229317],"category_scores_gemma":[0.0067299986,0.00020503368,0.00024499217,0.0023253276,0.0020811053,0.009910571,0.001812928,0.0019058336,0.001078792],"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":[0.00052342657,0.00037734635,0.023588594,0.0009474218,0.000039034345,0.008070768,0.004480492,0.054792915,0.0031519313,0.6655982,0.03007435,0.20835553],"study_design_scores_gemma":[0.000109005756,0.00076664635,0.0055685584,0.001611252,0.000044562057,0.0045507085,0.02445104,0.12780918,0.008130003,0.40122232,0.42559153,0.00014531724],"about_ca_topic_score_codex":0.008789621,"about_ca_topic_score_gemma":0.011376925,"teacher_disagreement_score":0.008789621,"about_ca_system_score_codex":0.002860315,"about_ca_system_score_gemma":0.002634072,"threshold_uncertainty_score":0.02468276},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97629625,0.00006275197,0.019748598,0.000056126766,0.000006526762,0.000012334872,0.00007124163,0.000060475755,0.0036856818],"genre_scores_gemma":[0.99838424,0.000019229927,0.0013600189,0.000002661164,9.176105e-7,0.000004024566,0.000030942032,0.0000042478064,0.00019373125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992823,0.00021140826,0.000030304458,0.00011922102,0.00019690576,0.00015991798],"domain_scores_gemma":[0.9984561,0.00071798934,0.00032981473,0.00012972044,0.00026086735,0.00010540829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060975895,0.0003223234,0.0002506373,0.0006330992,0.00035415922,0.0009315853,0.00044111774,0.0005013965,0.0010505854],"category_scores_gemma":[0.0035010106,0.00022996319,0.000321481,0.00040148947,0.00043540326,0.0011247933,0.00072738493,0.00026652642,0.00016262363],"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":[0.00022234877,0.00007750782,0.038045797,0.00003616255,0.00002732573,0.00032034732,0.00020930106,0.9332207,0.008384128,0.004165993,0.00023703418,0.015053318],"study_design_scores_gemma":[0.000021968579,0.000389294,0.020348547,0.000016032647,0.000035876044,0.00021617957,0.0007921004,0.9641596,0.007601822,0.0049348674,0.0014454608,0.000038298615],"about_ca_topic_score_codex":0.0052132295,"about_ca_topic_score_gemma":0.0032053157,"teacher_disagreement_score":0.0052132295,"about_ca_system_score_codex":0.0006442011,"about_ca_system_score_gemma":0.00045821766,"threshold_uncertainty_score":0.010365784},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07739618,0.0029478413,0.89363,0.0042549204,0.0001554442,0.00006288119,0.000027824834,0.00019137787,0.021333493],"genre_scores_gemma":[0.9068878,0.002027291,0.0842265,0.00030488422,0.00007025048,0.000098893004,0.000038817725,0.000057826164,0.006287794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999696,0.00006729593,0.000018080817,0.00008029748,0.00008620826,0.000052181647],"domain_scores_gemma":[0.9994235,0.00017878329,0.000104067585,0.00009729813,0.00013077096,0.00006559681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000645553,0.0003267347,0.00027092954,0.0003112131,0.00047411813,0.0011913463,0.00087831274,0.0012651116,0.00082563906],"category_scores_gemma":[0.0012330684,0.00023428991,0.0004705933,0.00016957382,0.0025239738,0.0018442658,0.0009679267,0.0009520647,0.00021371305],"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":[0.00003876972,0.00008254144,0.0017293132,0.00032620504,0.000070782386,0.00032395197,0.0007584017,0.2035427,0.025449948,0.69620454,0.0016077419,0.069865175],"study_design_scores_gemma":[0.000027259568,0.0002265062,0.0011051508,0.000117166,0.00004186409,0.00033197648,0.0003892335,0.45086104,0.013321557,0.5043065,0.029204752,0.00006698953],"about_ca_topic_score_codex":0.0013987415,"about_ca_topic_score_gemma":0.0007336103,"teacher_disagreement_score":0.0013987415,"about_ca_system_score_codex":0.0006519327,"about_ca_system_score_gemma":0.00095743116,"threshold_uncertainty_score":0.004730046},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030588272,0.023942895,0.080420144,0.0695142,0.029968532,0.0010192983,0.0036529256,0.014839165,0.7735841],"genre_scores_gemma":[0.016627597,0.024571475,0.04980471,0.014271119,0.011395504,0.0006185013,0.0046397797,0.002396385,0.87567484],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985672,0.0002345211,0.000056998248,0.0002524307,0.0006846874,0.00020406971],"domain_scores_gemma":[0.9981876,0.00019609577,0.000073754614,0.00015942137,0.00069928134,0.00068377145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024690572,0.0015358398,0.0005035047,0.001963207,0.0020312683,0.0048526297,0.0013688391,0.002230316,0.13567525],"category_scores_gemma":[0.0021840876,0.0006499636,0.00055420835,0.0018040995,0.00084016455,0.0054619135,0.0027347603,0.0028034532,0.07850327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034882414,0.000079002166,0.00030489507,0.0000762237,0.0000029753437,0.00009837812,0.0001517518,0.00015885352,0.0018624483,0.009325609,0.8825206,0.10538444],"study_design_scores_gemma":[0.000005015643,0.000026597023,0.00015475923,0.00005222439,0.0000014490347,0.00008105513,0.000054529275,0.00013990427,0.00018516461,0.00086379686,0.9984274,0.000008159201],"about_ca_topic_score_codex":0.006779537,"about_ca_topic_score_gemma":0.015161947,"teacher_disagreement_score":0.13567525,"about_ca_system_score_codex":0.0016954732,"about_ca_system_score_gemma":0.0040953,"threshold_uncertainty_score":0.45387894},"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":"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":[0.9935953,0.00004107909,0.003669918,0.0000851146,0.00001851124,0.0003300242,0.00030121635,0.00015289817,0.0018059051],"genre_scores_gemma":[0.99253535,0.000058533617,0.0051136524,0.000033176588,0.000006973696,0.00019481026,0.0006300928,0.000019184263,0.0014082305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974066,0.000066634166,0.000010179066,0.000051880197,0.000061441795,0.00006914929],"domain_scores_gemma":[0.9991093,0.00030092322,0.00007703674,0.00010044726,0.00024864706,0.0001635645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006058831,0.00053978775,0.00032749402,0.00040151796,0.00086867274,0.00039280773,0.000654424,0.0006940531,0.0014403708],"category_scores_gemma":[0.0009956672,0.00012547371,0.00025628068,0.00045942568,0.00054701243,0.0006245542,0.0004735617,0.00048416923,0.00042657144],"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":[0.008474993,0.029729828,0.07231672,0.0008926815,0.00036624537,0.0031061536,0.0040263813,0.44483355,0.13584009,0.004148982,0.017115775,0.27914855],"study_design_scores_gemma":[0.003756928,0.08550623,0.1098881,0.000106920146,0.0002698768,0.0006229473,0.0120255705,0.6445311,0.10485748,0.0068728495,0.03139212,0.00016991285],"about_ca_topic_score_codex":0.007511609,"about_ca_topic_score_gemma":0.015964529,"teacher_disagreement_score":0.007511609,"about_ca_system_score_codex":0.0005483235,"about_ca_system_score_gemma":0.00063617754,"threshold_uncertainty_score":0.0149357915},"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":"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":[0.00039332165,0.99374074,0.0025999765,0.00071325444,0.0004064401,0.000013087455,0.000018078246,0.000018015186,0.0020970844],"genre_scores_gemma":[0.0032455195,0.9929524,0.0020707902,0.00034570158,0.00070579775,0.000014968492,0.00004238483,0.00000859797,0.0006139154],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990159,0.00023225661,0.00013204903,0.00017233154,0.00038058255,0.000066721135],"domain_scores_gemma":[0.9951716,0.0034059018,0.00028066925,0.000117653915,0.00093529833,0.00008879061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020200603,0.00090793154,0.0012413273,0.00321707,0.0005384114,0.0020419222,0.0018700999,0.0020426803,0.0022591916],"category_scores_gemma":[0.0036663762,0.0006483717,0.00082226377,0.004058158,0.0011623418,0.004389868,0.0009187952,0.002015253,0.0015314164],"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":[0.00004551846,0.00011352759,0.00065958523,0.01440118,0.00009719832,0.00023317731,0.0002408992,0.0020069946,0.0017233974,0.021523267,0.021358196,0.9375971],"study_design_scores_gemma":[0.000007743604,0.0002090529,0.0011943429,0.0072323103,0.0001569425,0.0015946408,0.00038131516,0.002455305,0.0021034991,0.010288355,0.97428596,0.00009054931],"about_ca_topic_score_codex":0.0018491071,"about_ca_topic_score_gemma":0.0014155384,"teacher_disagreement_score":0.00321707,"about_ca_system_score_codex":0.0008369205,"about_ca_system_score_gemma":0.0015129246,"threshold_uncertainty_score":0.0106832385},"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":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01549617,0.25531566,0.49069312,0.039069407,0.0033472602,0.000084200045,0.00011674487,0.00016895047,0.19570848],"genre_scores_gemma":[0.59335124,0.25261503,0.095786154,0.0057217246,0.0050586653,0.00021920825,0.0001333419,0.00013073976,0.04698389],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99963534,0.000102191494,0.000016643768,0.0000738461,0.00012802146,0.000043967524],"domain_scores_gemma":[0.9996798,0.00013458192,0.000033148717,0.000020264102,0.00010103625,0.000031207288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056328706,0.0008351575,0.00055509043,0.00084350875,0.00066606153,0.0028904194,0.0013878319,0.0023222012,0.0032973534],"category_scores_gemma":[0.0006336914,0.00029779715,0.0005184119,0.00089418265,0.00187023,0.0052039023,0.0010832585,0.002443647,0.0008025369],"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":[0.000021726928,0.00007526883,0.0002727873,0.0005468725,0.000022975888,0.00023583,0.00023782018,0.023544,0.0021068014,0.90179735,0.0066543836,0.064484134],"study_design_scores_gemma":[0.000010329745,0.00020294168,0.00045196016,0.00063128246,0.000034651846,0.00043612192,0.0009231297,0.13911237,0.0025362715,0.5673814,0.2882103,0.000069164744],"about_ca_topic_score_codex":0.0013714462,"about_ca_topic_score_gemma":0.0016462792,"teacher_disagreement_score":0.0032973534,"about_ca_system_score_codex":0.0015955498,"about_ca_system_score_gemma":0.00079190725,"threshold_uncertainty_score":0.0115766525},"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":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11702249,0.008557631,0.4557121,0.0338103,0.0072412454,0.0006431809,0.0095073795,0.0139355315,0.3535702],"genre_scores_gemma":[0.45545068,0.0035629023,0.15923929,0.001077886,0.000653799,0.00018305425,0.0036212436,0.00049856823,0.3757126],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99840194,0.00016287282,0.000028752544,0.00038295123,0.0007991705,0.00022422046],"domain_scores_gemma":[0.9979646,0.00025846894,0.000042729876,0.000088492445,0.0012974653,0.00034832314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013957608,0.0010785044,0.0010220897,0.0012550857,0.00196964,0.0017376597,0.0013705852,0.0009204451,0.028692681],"category_scores_gemma":[0.0021672847,0.00036752666,0.00029780678,0.00091077306,0.001074752,0.00069671817,0.00083721004,0.0011202578,0.005963988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019401677,0.00038150826,0.0069556055,0.00039910106,0.00015113234,0.0006008468,0.00081326667,0.07255565,0.04009548,0.07868611,0.40377462,0.3936466],"study_design_scores_gemma":[0.00057911413,0.0008279498,0.011624362,0.00017388086,0.00019521017,0.0003604957,0.0014103457,0.40095696,0.070137784,0.018433196,0.49500126,0.0002993652],"about_ca_topic_score_codex":0.45519918,"about_ca_topic_score_gemma":0.48112077,"teacher_disagreement_score":0.45519918,"about_ca_system_score_codex":0.006847522,"about_ca_system_score_gemma":0.016999966,"threshold_uncertainty_score":0.9050993},"labels":[],"label_agreement":null}]}