{"meta":{"query_hash":"a11fdbaed4ad","filters":{"venue":"International Journal of Vehicle Performance"},"cohort_total":17,"direct_labels_cover":0,"predictions_cover":17,"exported":17,"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/a11fdbaed4ad","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Vehicle+Performance"},"results":[{"id":"W1965116674","doi":"10.1504/ijvp.2013.058280","title":"An automated design synthesis method for multi-trailer articulated heavy vehicles","year":2013,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tractor; Computer science; Stability (learning theory); Trailer; Trajectory; Control engineering; Design methods; Simulation; Automotive engineering; Control theory (sociology); Engineering; Artificial intelligence; Control (management); Machine learning","score_opus":0.019681743879317176,"score_gpt":0.28879689327827784,"score_spread":0.26911514939896064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965116674","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":[0.7039568,0.00010191294,0.2948189,0.0001580404,0.0005561288,0.00020885747,0.000010105733,0.00016012053,0.000029165138],"genre_scores_gemma":[0.94642454,0.00004578902,0.053085875,0.00006700086,0.00024998724,0.0000640837,0.000002693635,0.00003806546,0.000021965056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866736,0.000060588452,0.00059160707,0.00011527387,0.0003233763,0.00024177776],"domain_scores_gemma":[0.9987071,0.00015243061,0.00017950144,0.00012813209,0.0007035354,0.00012931453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053695706,0.00015989278,0.00025442292,0.00017091152,0.00005455634,0.00015801776,0.0004533446,0.00008837722,0.000051869032],"category_scores_gemma":[0.00004555404,0.00013816901,0.000117529926,0.000089896406,0.000020149106,0.00078548363,0.000012579287,0.00015211204,0.00003290775],"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":[0.0001299897,0.00013563542,0.0018732303,0.000034946093,0.0004044768,0.000008981819,0.00019748644,0.7393252,0.17045373,0.000039271694,0.000600997,0.086796045],"study_design_scores_gemma":[0.0008791776,0.0001299506,0.020564869,0.0000925492,0.000024897794,0.000077790675,0.000041614836,0.9584094,0.019378958,0.00002658296,0.00021388257,0.00016031363],"about_ca_topic_score_codex":0.00002482691,"about_ca_topic_score_gemma":0.0000027591047,"teacher_disagreement_score":0.24246779,"about_ca_system_score_codex":0.00011661095,"about_ca_system_score_gemma":0.00003380998,"threshold_uncertainty_score":0.56343687},"labels":[],"label_agreement":null},{"id":"W1979140450","doi":"10.1504/ijvp.2013.057786","title":"Kineto-dynamic performance analysis of vehicle with an asymmetric suspension damper using a roll-plane model","year":2013,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Vibration Control and Rheological Fluids","field":"Engineering","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":"Concordia University","funders":"","keywords":"Damper; Chassis; Structural engineering; Suspension (topology); Kinematics; Sprung mass; Acceleration; Engineering; Control theory (sociology); Computer science; Physics; Mathematics; Classical mechanics","score_opus":0.01092617132164615,"score_gpt":0.23105915978989253,"score_spread":0.2201329884682464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979140450","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":[0.98302114,0.00015702522,0.01619385,0.0000765695,0.00016648363,0.000074118434,0.000007846873,0.00002730356,0.00027564712],"genre_scores_gemma":[0.99640787,0.0002734384,0.0030877227,0.000070217975,0.000085194995,0.000002649486,0.000012405541,0.000017177035,0.000043332348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984826,0.000022587292,0.0005767101,0.00012462422,0.0005938768,0.00019962792],"domain_scores_gemma":[0.99880236,0.000045229834,0.00020274427,0.00014581443,0.00069522194,0.00010865463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021683077,0.00015851248,0.00034311443,0.00070948096,0.000050281764,0.000056939374,0.0003948264,0.000076656426,0.00014502725],"category_scores_gemma":[0.000016643933,0.000114390365,0.0001074039,0.0006314624,0.000051886742,0.0012400256,0.00003280367,0.00023717413,0.000010385208],"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":[0.00014381492,0.000062781364,0.028704267,0.000013235076,0.00047059875,0.000004422671,0.0000771055,0.9125701,0.05133594,0.000020215537,0.000012816392,0.0065847025],"study_design_scores_gemma":[0.00072186237,0.00029404185,0.117507905,0.000047662747,0.00013354806,0.000034859673,0.00001936303,0.8759911,0.0050934916,0.000015828387,0.0000111940935,0.00012912275],"about_ca_topic_score_codex":0.000022169403,"about_ca_topic_score_gemma":0.000009497476,"teacher_disagreement_score":0.088803634,"about_ca_system_score_codex":0.000104611325,"about_ca_system_score_gemma":0.00004219492,"threshold_uncertainty_score":0.46647036},"labels":[],"label_agreement":null},{"id":"W2068170206","doi":"10.1504/ijvp.2013.057793","title":"Advanced effective road profile filter for a rigid ring tyre quarter-vehicle model","year":2013,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Vehicle Dynamics and Control Systems","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":"Ontario Tech University","funders":"","keywords":"Deflection (physics); Acceleration; Finite element method; Vertical deflection; Engineering; Structural engineering; Filter (signal processing); Automotive engineering; Physics","score_opus":0.004141783115088985,"score_gpt":0.21260281536145986,"score_spread":0.2084610322463709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068170206","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":[0.9785765,0.00017723208,0.018799748,0.00020466711,0.0007954116,0.00043124973,0.000025132882,0.000050794202,0.00093927415],"genre_scores_gemma":[0.99717814,0.000044207838,0.0019186242,0.00007003379,0.00040676427,0.00016671054,0.0000041723697,0.00003497692,0.00017637781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987413,0.00001449027,0.0005009373,0.00012703141,0.00035125008,0.00026497743],"domain_scores_gemma":[0.9989428,0.00005358276,0.00018992937,0.0001234474,0.0005941204,0.00009611716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020488091,0.00016959324,0.0002459644,0.00013961291,0.000056729168,0.000111008914,0.0003845703,0.00006848241,0.00006185341],"category_scores_gemma":[0.000018427896,0.00015143528,0.00015482967,0.00006690929,0.000020792795,0.0009221478,0.00002855317,0.0002246059,0.00007177042],"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":[0.00021307089,0.00007263318,0.004716405,0.00010496934,0.00033544237,0.0000066517177,0.00056737766,0.63329923,0.08442412,0.00011444036,0.0011314042,0.27501428],"study_design_scores_gemma":[0.0017787018,0.00018728052,0.017570518,0.0001562344,0.000012022247,0.00003524196,0.000047317073,0.97633,0.0032440254,0.00014950834,0.00031684354,0.00017234379],"about_ca_topic_score_codex":0.000012441889,"about_ca_topic_score_gemma":0.0000060746215,"teacher_disagreement_score":0.34303075,"about_ca_system_score_codex":0.00017646184,"about_ca_system_score_gemma":0.00002775868,"threshold_uncertainty_score":0.6175352},"labels":[],"label_agreement":null},{"id":"W2263366432","doi":"10.1504/ijvp.2015.074120","title":"Driver vigilance level detection systems: a literature survey","year":2015,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Sleep and Work-Related Fatigue","field":"Psychology","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":"Ontario Tech University","funders":"","keywords":"Alertness; Vigilance (psychology); Crash; Computer science; Computer security; Psychology; Cognitive psychology","score_opus":0.07134527710799525,"score_gpt":0.3258760694084725,"score_spread":0.25453079230047726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263366432","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":[0.9863422,0.0020608755,0.0014266339,0.00015774008,0.008055186,0.00006137172,0.000024032082,0.00001927243,0.0018526987],"genre_scores_gemma":[0.99827594,0.00010155225,0.00009345958,0.00013428392,0.00086881436,0.0000042483607,0.000008746911,0.000015451531,0.0004975314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998552,0.00014234087,0.0004555656,0.00013365793,0.00054060115,0.00017581464],"domain_scores_gemma":[0.9978798,0.000080246544,0.00039651323,0.00013971012,0.0013775835,0.00012612807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083089375,0.00012272675,0.00016698535,0.00021861288,0.000039800543,0.00010119523,0.00044265357,0.00014027792,0.000045115652],"category_scores_gemma":[0.00009391889,0.000103343824,0.00006975505,0.00023140578,0.000038703976,0.000489091,0.000032609925,0.00045772505,0.00019703747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003431943,0.00050301116,0.822335,0.000014040361,0.0012176491,0.00044307235,0.006693867,0.0054773428,0.0013035492,0.0005894913,0.014511933,0.1434791],"study_design_scores_gemma":[0.0070044035,0.0012247312,0.967264,0.0017338064,0.000056423647,0.0015968375,0.0005567749,0.0053128535,0.0023053195,0.00004747578,0.012370317,0.00052703364],"about_ca_topic_score_codex":0.00008625511,"about_ca_topic_score_gemma":0.000020086358,"teacher_disagreement_score":0.14492902,"about_ca_system_score_codex":0.00014838317,"about_ca_system_score_gemma":0.000056179706,"threshold_uncertainty_score":0.42142388},"labels":[],"label_agreement":null},{"id":"W2328872191","doi":"10.1504/ijvp.2016.075336","title":"Analytical and experimental fatigue life assessment of automotive tensioner","year":2016,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Mechanical Failure Analysis and Simulation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Powertrain; Vibration fatigue; Structural engineering; Automotive industry; Finite element method; Stress (linguistics); Automotive engineering; Fatigue testing; Engineering; Computer science; Torque; Physics","score_opus":0.018730852293218036,"score_gpt":0.29805380618504695,"score_spread":0.27932295389182893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328872191","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":[0.98781097,0.00008472174,0.011138996,0.0005123736,0.0001728099,0.00002397259,0.0000024549608,0.0000073049964,0.00024641893],"genre_scores_gemma":[0.9988537,0.00010518387,0.0008508824,0.00005361176,0.00011080601,7.8549823e-7,5.357713e-7,0.0000057915163,0.000018694162],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916756,0.00001300043,0.0003595538,0.000054562664,0.00033958218,0.00006571916],"domain_scores_gemma":[0.9994073,0.000060746726,0.000104963045,0.00005075303,0.0003051141,0.00007114712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001687291,0.00006201342,0.00014844489,0.00010494531,0.00001251164,0.000012081623,0.00011238478,0.000030838237,0.00012914266],"category_scores_gemma":[0.000040020645,0.000038980117,0.000059293092,0.000047588204,0.00002737747,0.0002516597,0.000024598488,0.00006831051,0.0000019984393],"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":[0.0003213722,0.00052191166,0.20770198,0.000057956677,0.0019932317,0.00004695969,0.00050224224,0.18783396,0.49867842,0.007822764,0.001653631,0.09286558],"study_design_scores_gemma":[0.0009892081,0.00017762613,0.07832437,0.00013831939,0.000026664447,0.000017593078,0.00004000705,0.8568582,0.06278862,0.000062690015,0.00048423142,0.00009246186],"about_ca_topic_score_codex":9.3372074e-7,"about_ca_topic_score_gemma":2.4648264e-7,"teacher_disagreement_score":0.6690242,"about_ca_system_score_codex":0.000050089573,"about_ca_system_score_gemma":0.000019327925,"threshold_uncertainty_score":0.1589563},"labels":[],"label_agreement":null},{"id":"W2401981049","doi":"10.1504/ijvp.2015.074123","title":"Design validation of active trailer steering systems for improving the low-speed manoeuvrability of multi-trailer articulated heavy vehicles using driver-hardware/software-in-the-loop real-time simulations","year":2015,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Trailer; Hardware-in-the-loop simulation; Automotive engineering; Software; Computer science; Simulation; Car driving; Engineering; Embedded system","score_opus":0.033569787944252194,"score_gpt":0.26288712336414166,"score_spread":0.22931733541988947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401981049","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":[0.9539033,0.000105002866,0.04498545,0.000030192645,0.0004320235,0.00047698888,0.000039654165,0.000017733557,0.000009612912],"genre_scores_gemma":[0.9987869,0.000015199492,0.0010120352,0.0000050575286,0.00012984913,0.000009311936,0.0000062572108,0.000024067187,0.000011275576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810576,0.00011986884,0.00091814523,0.0001156052,0.0005512985,0.00018930937],"domain_scores_gemma":[0.9978607,0.00036183998,0.00051361066,0.00017011778,0.0010424989,0.00005121421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012020366,0.0001516479,0.00030455072,0.00016150277,0.000052546937,0.000060238617,0.0004352174,0.00007726169,0.0000040024433],"category_scores_gemma":[0.00012276617,0.000112091555,0.00011608244,0.0001725848,0.000053469215,0.0005293564,0.000024746936,0.00018474141,9.40682e-7],"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":[0.0002039957,0.00007116218,0.0033204493,0.000072820716,0.00011345603,0.0000018848626,0.0012180536,0.8323062,0.16108693,0.000008326087,0.000004003007,0.001592678],"study_design_scores_gemma":[0.0015416681,0.00011024486,0.013667766,0.00022325775,0.000044355056,0.000025943664,0.00032632536,0.9631759,0.020759804,0.000010533517,0.0000060018942,0.00010822746],"about_ca_topic_score_codex":0.00010287359,"about_ca_topic_score_gemma":0.0000051488805,"teacher_disagreement_score":0.14032713,"about_ca_system_score_codex":0.0002619568,"about_ca_system_score_gemma":0.00009375144,"threshold_uncertainty_score":0.4570961},"labels":[],"label_agreement":null},{"id":"W2418495796","doi":"10.1504/ijvp.2015.074121","title":"Articulated heavy vehicle lateral dynamic analysis using an automated frequency response measuring technique","year":2015,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Response analysis; Frequency response; Frequency analysis; Acoustics; Computer science; Materials science; Physics; Engineering; Structural engineering; Electrical engineering","score_opus":0.02804659793591194,"score_gpt":0.28857020558147695,"score_spread":0.260523607645565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418495796","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":[0.9875901,0.00011898005,0.011292504,0.000059559596,0.0005539733,0.00007998964,0.000005542749,0.00021698831,0.00008236211],"genre_scores_gemma":[0.9978877,0.000011899892,0.0019235009,0.000023460501,0.000108382745,0.0000038602143,0.0000045228862,0.000025395582,0.000011323343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982575,0.0001238951,0.000689828,0.00010669091,0.0006121183,0.00020994585],"domain_scores_gemma":[0.9988644,0.000036812602,0.00020910606,0.00016997306,0.0005325266,0.00018718283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011884163,0.00015130088,0.000281059,0.0005049875,0.000051519855,0.000116647694,0.00038612596,0.00008709156,0.000022507573],"category_scores_gemma":[0.000058557016,0.00013907315,0.000112448135,0.00043999107,0.00003492672,0.0007787007,0.000024913346,0.00021913004,0.000016311418],"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":[0.00024859063,0.000060923147,0.022604939,0.000017049944,0.0006466259,0.00008997631,0.0012271209,0.7680814,0.20620848,0.0000018357816,0.000018249095,0.0007947831],"study_design_scores_gemma":[0.00049993314,0.00010850604,0.03444969,0.00013640284,0.00007336038,0.00031672817,0.00006606422,0.94631696,0.01781685,0.000022461452,0.000040084033,0.00015294165],"about_ca_topic_score_codex":0.00005054352,"about_ca_topic_score_gemma":0.000010926869,"teacher_disagreement_score":0.18839164,"about_ca_system_score_codex":0.00046791218,"about_ca_system_score_gemma":0.000112421156,"threshold_uncertainty_score":0.56712383},"labels":[],"label_agreement":null},{"id":"W2736076000","doi":"10.1504/ijvp.2017.085029","title":"Development of FEA tyre/soil interaction model using SPH and hybrid SPH/FEA technique","year":2017,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Finite element method; Deflection (physics); Truck; Smoothed-particle hydrodynamics; Structural engineering; Vibration; Nonlinear system; Engineering; Geotechnical engineering; Mechanics; Automotive engineering; Physics; Acoustics","score_opus":0.02578782638256024,"score_gpt":0.27727428608503146,"score_spread":0.25148645970247124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736076000","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":[0.96914,0.00004998371,0.029865952,0.000034724355,0.0005977952,0.00004489921,0.0000049560776,0.000013402731,0.0002482885],"genre_scores_gemma":[0.9854829,0.00024827238,0.014110441,0.000011511574,0.000112583155,0.0000021164067,0.000001291546,0.000018333745,0.000012596528],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990927,0.000004706799,0.00041984496,0.000076118704,0.00029259836,0.000114029564],"domain_scores_gemma":[0.9991977,0.0000104050605,0.00033665117,0.00012449647,0.0002781042,0.000052642157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027547593,0.000106539104,0.0001533591,0.00013689633,0.000092879935,0.00007326179,0.00036538998,0.00004296394,0.0000055414807],"category_scores_gemma":[0.000022426257,0.0001054957,0.00004594696,0.000020794423,0.000026773952,0.00062079437,0.00008905744,0.00021660245,0.0000014599508],"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":[0.00021955755,0.00011125925,0.011488225,0.00015100173,0.00031825775,0.000033352833,0.0006769222,0.27229586,0.30345732,0.00024895032,0.00003819796,0.41096112],"study_design_scores_gemma":[0.00031485662,0.000023336343,0.0034942948,0.00024065269,0.000008921012,0.00016188351,0.00002820896,0.87619126,0.11919775,0.00010687541,0.00013462546,0.000097317374],"about_ca_topic_score_codex":0.0000073493616,"about_ca_topic_score_gemma":0.000006826135,"teacher_disagreement_score":0.6038954,"about_ca_system_score_codex":0.00015282175,"about_ca_system_score_gemma":0.00006427381,"threshold_uncertainty_score":0.430199},"labels":[],"label_agreement":null},{"id":"W2775176094","doi":"10.1504/ijvp.2018.10009700","title":"Optimal path planning for unmanned ground vehicles using potential field method and optimal control method","year":2017,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Robotic Path Planning Algorithms","field":"Computer Science","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":"Ontario Tech University","funders":"","keywords":"Motion planning; Optimal control; Field (mathematics); Path (computing); Potential field; Control (management); Computer science; Aerospace engineering; Control theory (sociology); Mathematical optimization; Engineering; Physics; Mathematics; Artificial intelligence; Robot; Geophysics","score_opus":0.03373568873278731,"score_gpt":0.3597245771635071,"score_spread":0.32598888843071977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775176094","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":[0.36654934,0.000104797444,0.6313943,0.0009223898,0.0009235702,0.00006881718,0.0000052751643,0.000012853037,0.000018618846],"genre_scores_gemma":[0.5002452,0.000010648806,0.49917206,0.00014407084,0.00040096635,0.000002054739,4.8553716e-7,0.0000076800625,0.000016814422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983066,0.00007924315,0.0005051875,0.00026128747,0.0005529203,0.00029478112],"domain_scores_gemma":[0.9978257,0.0003737404,0.00086340256,0.0002697944,0.0005415684,0.00012583069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015048845,0.00017488925,0.00030737545,0.00017995962,0.00043551746,0.0006917238,0.0016400757,0.00009231037,0.0000027345855],"category_scores_gemma":[0.00024344384,0.00015897596,0.00012592645,0.000039232586,0.00005194322,0.0018341016,0.0002556578,0.0002998821,0.0000012273243],"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":[0.0007483422,0.00010249789,0.010831566,0.000035139852,0.00044833316,0.00035366806,0.0010413913,0.8067323,0.016078513,0.00054926303,0.00023632684,0.16284265],"study_design_scores_gemma":[0.0022469112,0.0004119072,0.018746346,0.00018190574,0.000036510864,0.0010636542,0.00003785502,0.9716636,0.005042242,0.0002001176,0.0001926848,0.00017628194],"about_ca_topic_score_codex":0.000024204033,"about_ca_topic_score_gemma":6.3621684e-8,"teacher_disagreement_score":0.16493127,"about_ca_system_score_codex":0.000067972665,"about_ca_system_score_gemma":0.00011369457,"threshold_uncertainty_score":0.6670308},"labels":[],"label_agreement":null},{"id":"W2775615184","doi":"10.1504/ijvp.2018.10009708","title":"Advanced control techniques for unmanned ground vehicle: literature survey","year":2017,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Robotic Path Planning Algorithms","field":"Computer Science","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":"Ontario Tech University","funders":"","keywords":"Unmanned ground vehicle; Aerospace engineering; Control (management); Aeronautics; Computer science; Systems engineering; Remote sensing; Environmental science; Engineering; Geology; Telecommunications; Artificial intelligence","score_opus":0.020332818347738906,"score_gpt":0.3092517567214546,"score_spread":0.2889189383737157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775615184","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":[0.57403666,0.00038458116,0.4177559,0.0035616283,0.0035960036,0.00026526174,0.00006035329,0.00007708804,0.0002625135],"genre_scores_gemma":[0.9236721,0.00010568001,0.07519013,0.00031352314,0.0005278547,0.000010552759,0.0000055725695,0.000012891897,0.00016173282],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983582,0.000058659796,0.00049769593,0.00022079975,0.00060594414,0.00025870863],"domain_scores_gemma":[0.99658,0.00023899974,0.00094717095,0.00046294078,0.001667238,0.00010365836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012972116,0.00016441786,0.00026269717,0.00018231003,0.00028781875,0.00080166024,0.0032168266,0.00008933811,0.0000022981556],"category_scores_gemma":[0.0004943015,0.00014150138,0.00012269095,0.000079505604,0.00007197793,0.0026771727,0.00016005614,0.0003065549,0.000006925517],"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":[0.0014923197,0.00039263425,0.15061237,0.00007270386,0.000533084,0.00033069862,0.001058411,0.0043701823,0.011887541,0.0018527242,0.0026276547,0.8247697],"study_design_scores_gemma":[0.0034230642,0.0007629835,0.6246933,0.00062935456,0.000013432136,0.00033872234,0.000007398657,0.35518843,0.010432668,0.00079383363,0.0033859846,0.0003308757],"about_ca_topic_score_codex":0.000011632908,"about_ca_topic_score_gemma":0.0000019950207,"teacher_disagreement_score":0.8244388,"about_ca_system_score_codex":0.000103940474,"about_ca_system_score_gemma":0.0001151563,"threshold_uncertainty_score":0.77304286},"labels":[],"label_agreement":null},{"id":"W3018232309","doi":"10.1504/ijvp.2020.10029002","title":"An energy-saving strategy for steering-motors of steer-by-wire vehicles","year":2020,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"CarSim; Torque steering; Turning radius; Automotive engineering; Steering wheel; Steering linkage; Active steering; Controller (irrigation); Energy (signal processing); Torque; Control theory (sociology); MATLAB; Heading (navigation); Energy consumption; Engineering; Vehicle dynamics; Computer science; Control (management); Mechanical engineering; Aerospace engineering; Physics; Electrical engineering","score_opus":0.010476666218005177,"score_gpt":0.2258393326182853,"score_spread":0.21536266640028012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018232309","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":[0.9796299,0.00047936916,0.018887134,0.0001919822,0.00047327607,0.000064302374,0.000059004975,0.000034547982,0.00018048816],"genre_scores_gemma":[0.99891675,0.00015534081,0.0002680112,0.000075455784,0.0005154019,0.000005792376,0.000008305743,0.000032290885,0.00002265949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987184,0.000015053437,0.00060049305,0.00010299479,0.00039316624,0.00016990124],"domain_scores_gemma":[0.99912065,0.000040546005,0.00024411466,0.00008748877,0.0003756499,0.00013156289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018196827,0.00013724298,0.00025507458,0.000083860956,0.000029877372,0.0000615309,0.00054266973,0.00006413778,0.000013462154],"category_scores_gemma":[0.000013223353,0.00013293345,0.000117645235,0.00008100289,0.000023906417,0.00062838616,0.000019579304,0.0001414151,0.00000132491],"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":[0.00031511317,0.000093062525,0.008717271,0.00016103582,0.00040288383,0.000011712561,0.00050401577,0.52444524,0.34795165,0.000704669,0.00060856726,0.11608481],"study_design_scores_gemma":[0.001051828,0.0005286269,0.002999726,0.00009752382,0.00001690283,0.000018867288,0.00012611065,0.9768222,0.014765007,0.000029379378,0.003392836,0.00015100202],"about_ca_topic_score_codex":0.000012588633,"about_ca_topic_score_gemma":0.0000040166865,"teacher_disagreement_score":0.45237696,"about_ca_system_score_codex":0.00006733452,"about_ca_system_score_gemma":0.00003819515,"threshold_uncertainty_score":0.5420869},"labels":[],"label_agreement":null},{"id":"W3018748951","doi":"10.1504/ijvp.2020.106985","title":"An overview of control schemes for improving the lateral stability of car-trailer combinations","year":2020,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Stability (learning theory); Trailer; Control (management); Electronic stability control; Computer science; Control theory (sociology); Engineering; Automotive engineering; Artificial intelligence; Machine learning","score_opus":0.025388947547625378,"score_gpt":0.26093866000287075,"score_spread":0.23554971245524536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018748951","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":[0.99118316,0.0004830744,0.007275232,0.0005224768,0.00028618623,0.00013141363,0.00007290618,0.000009415416,0.000036129142],"genre_scores_gemma":[0.9995293,0.000059797076,0.00016253367,0.00007194442,0.00015567146,0.0000061314804,0.0000025852692,0.000010594189,0.0000014655172],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990385,0.00002164674,0.0005209701,0.000056597204,0.00027244966,0.00008983136],"domain_scores_gemma":[0.9989436,0.00007138933,0.00025582217,0.00008722186,0.00059638976,0.000045525074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032576136,0.00007425181,0.00020140488,0.000038096754,0.000024426083,0.000022478616,0.00038945637,0.00003045138,0.000015289828],"category_scores_gemma":[0.000034235778,0.000056008554,0.00011508075,0.000058853886,0.000035204415,0.0002933934,0.0000131000215,0.00011755886,4.2551747e-7],"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":[0.0007814426,0.0003845168,0.16304193,0.001081211,0.0010401312,0.0000038176217,0.0031495064,0.12949382,0.62140805,0.0058275266,0.00008786085,0.073700204],"study_design_scores_gemma":[0.0016673611,0.0002451225,0.024848375,0.00005286898,0.000025895759,0.000005816707,0.000073537376,0.9646352,0.007999887,0.00004126387,0.00034337785,0.00006129168],"about_ca_topic_score_codex":0.0000104692335,"about_ca_topic_score_gemma":0.000004210598,"teacher_disagreement_score":0.83514136,"about_ca_system_score_codex":0.000036435093,"about_ca_system_score_gemma":0.000037549024,"threshold_uncertainty_score":0.22839627},"labels":[],"label_agreement":null},{"id":"W4225685866","doi":"10.1504/ijvp.2022.122064","title":"Analytical and experimental investigation of roll stability of a truck towing a special purpose trailer with no suspension","year":2022,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Towing; Trailer; Suspension (topology); Truck; Automotive engineering; Stability (learning theory); Engineering; Articulated vehicle; Vehicle dynamics; Longitudinal static stability; Marine engineering; Computer science; Structural engineering; Aerospace engineering; Aerodynamics; Mathematics","score_opus":0.00858179960247182,"score_gpt":0.20565562716217844,"score_spread":0.19707382755970662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225685866","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":[0.99895287,0.000105501655,0.000079665006,0.000047881425,0.00032407898,0.000071376955,0.000011810667,0.000005048516,0.00040179616],"genre_scores_gemma":[0.9995722,0.000013290525,0.00015656101,0.0000111225245,0.00022581485,0.0000032416522,0.0000020507036,0.000009081932,0.000006626284],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988869,0.000028942912,0.000437431,0.00006920861,0.000496408,0.00008111051],"domain_scores_gemma":[0.9994575,0.000030129979,0.0001830697,0.00006062886,0.00022067671,0.000048001166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030452156,0.00007546525,0.0001950285,0.00011060414,0.000029491435,0.000014073346,0.00015627789,0.000019709854,0.00010761575],"category_scores_gemma":[0.000009039123,0.000066849076,0.000051889452,0.00008254755,0.000054795968,0.00023230785,0.00004114618,0.00015624941,3.8562055e-7],"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":[0.0030255981,0.00026696053,0.41292801,0.00013855624,0.0004904737,0.00004729951,0.0048654955,0.13790259,0.43081656,0.00056612893,0.00010421725,0.008848101],"study_design_scores_gemma":[0.0023151215,0.0008568015,0.07207055,0.000096255804,0.000022124736,0.00015878445,0.00061875454,0.89020157,0.03332932,0.000028253722,0.00018201639,0.000120433964],"about_ca_topic_score_codex":0.000010694035,"about_ca_topic_score_gemma":0.000003890233,"teacher_disagreement_score":0.752299,"about_ca_system_score_codex":0.0001128554,"about_ca_system_score_gemma":0.00004041377,"threshold_uncertainty_score":0.27260262},"labels":[],"label_agreement":null},{"id":"W4226391275","doi":"10.1504/ijvp.2022.122062","title":"Roll dynamics of long combination semi-trailers with steerable axles","year":2022,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; Carleton University","funders":"","keywords":"Axle; Trailer; Vehicle dynamics; Automotive engineering; Engineering; Traction control system; Control theory (sociology); Controller (irrigation); Lock (firearm); Simulation; Computer science; Control engineering; Structural engineering; Control (management); Artificial intelligence","score_opus":0.0032754007623642016,"score_gpt":0.17937402478961822,"score_spread":0.176098624027254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226391275","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":[0.99451554,0.00022576947,0.0025615317,0.00021569943,0.00066198694,0.00006192717,0.0000250051,0.000018234658,0.0017143033],"genre_scores_gemma":[0.99956,0.000092586386,0.00008978091,0.00002112335,0.000075091564,0.0000064030983,0.000010926866,0.000018610164,0.00012548912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877846,0.000020657579,0.00039581797,0.00006143691,0.0006260247,0.000117604046],"domain_scores_gemma":[0.9993101,0.00002878174,0.0002431686,0.000079313126,0.0003001041,0.000038542727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002948398,0.000089437075,0.00016988834,0.00016756398,0.00005629963,0.000028179524,0.00038103518,0.000022379638,0.000061014976],"category_scores_gemma":[0.000004254941,0.000083447805,0.000061470244,0.00012668388,0.000022125607,0.00027174596,0.00003559865,0.00024419822,0.0000012517725],"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":[0.00018163747,0.00008454013,0.060339216,0.000036079633,0.00023305947,0.000032932086,0.00024895888,0.91937107,0.0018124724,0.00057391165,0.000077755576,0.017008377],"study_design_scores_gemma":[0.0013798529,0.0002774493,0.048299883,0.00006728137,0.000014694599,0.00024645208,0.00020290082,0.9483374,0.0006394467,0.0000510937,0.00038225937,0.000101318146],"about_ca_topic_score_codex":0.000014064087,"about_ca_topic_score_gemma":0.000026364427,"teacher_disagreement_score":0.02896631,"about_ca_system_score_codex":0.0003060258,"about_ca_system_score_gemma":0.000043653712,"threshold_uncertainty_score":0.34029028},"labels":[],"label_agreement":null},{"id":"W4226453568","doi":"10.1504/ijvp.2022.122138","title":"A comparative study of tail air-deflector designs on aerodynamic drag reduction of medium-duty trucks","year":2022,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Truck; Aerodynamic drag; Drag; Aerodynamics; Airflow; Automotive engineering; Fuel efficiency; Computational fluid dynamics; Reduction (mathematics); Marine engineering; Heavy duty; Environmental science; Engineering; Aerospace engineering; Mechanical engineering","score_opus":0.030051219825489556,"score_gpt":0.3013655572565059,"score_spread":0.2713143374310163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226453568","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":[0.9981376,0.00006424295,0.00042698073,0.00007199757,0.00081702706,0.00015172675,0.00003635036,0.000011982484,0.00028209138],"genre_scores_gemma":[0.999566,0.0000786515,0.00016683256,0.00000567331,0.00009802928,0.000011318874,0.0000072635494,0.000018307395,0.000047930564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792975,0.00007921315,0.0006293409,0.000107785345,0.0011049748,0.00014891756],"domain_scores_gemma":[0.9989565,0.00006329363,0.0002938507,0.00013641744,0.0004956406,0.000054292475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004941105,0.000121563564,0.00029202635,0.00040878385,0.00007068998,0.000011958468,0.0005752359,0.000029190414,0.000081218575],"category_scores_gemma":[0.00001580345,0.000118359254,0.00008908736,0.0002656184,0.00006290289,0.00020459072,0.00009217941,0.0004964874,0.0000023714792],"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":[0.0006218554,0.0007179218,0.005155452,0.000026067648,0.0003792921,0.000014421944,0.0028982086,0.8157625,0.17235911,0.00015582576,0.000119088596,0.0017902342],"study_design_scores_gemma":[0.0018914755,0.0027955158,0.1955793,0.00005824845,0.000024752937,0.00009283675,0.0021666083,0.78947663,0.007660759,0.00005579666,0.00005140141,0.00014667929],"about_ca_topic_score_codex":0.000028857497,"about_ca_topic_score_gemma":0.00003194389,"teacher_disagreement_score":0.19042386,"about_ca_system_score_codex":0.00037693878,"about_ca_system_score_gemma":0.00008907613,"threshold_uncertainty_score":0.48265505},"labels":[],"label_agreement":null},{"id":"W4235462527","doi":"10.1504/ijvp.2020.10028995","title":"An overview of control schemes for improving the lateral stability of car-trailer combinations","year":2020,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Stability (learning theory); Trailer; Electronic stability control; Control (management); Computer science; Control theory (sociology); Engineering; Automotive engineering; Artificial intelligence; Machine learning","score_opus":0.025388947547625378,"score_gpt":0.26093866000287075,"score_spread":0.23554971245524536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235462527","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":[0.99118316,0.0004830744,0.007275232,0.0005224768,0.00028618623,0.00013141363,0.00007290618,0.000009415416,0.000036129142],"genre_scores_gemma":[0.9995293,0.000059797076,0.00016253367,0.00007194442,0.00015567146,0.0000061314804,0.0000025852692,0.000010594189,0.0000014655172],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990385,0.00002164674,0.0005209701,0.000056597204,0.00027244966,0.00008983136],"domain_scores_gemma":[0.9989436,0.00007138933,0.00025582217,0.00008722186,0.00059638976,0.000045525074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032576136,0.00007425181,0.00020140488,0.000038096754,0.000024426083,0.000022478616,0.00038945637,0.00003045138,0.000015289828],"category_scores_gemma":[0.000034235778,0.000056008554,0.00011508075,0.000058853886,0.000035204415,0.0002933934,0.0000131000215,0.00011755886,4.2551747e-7],"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":[0.0007814426,0.0003845168,0.16304193,0.001081211,0.0010401312,0.0000038176217,0.0031495064,0.12949382,0.62140805,0.0058275266,0.00008786085,0.073700204],"study_design_scores_gemma":[0.0016673611,0.0002451225,0.024848375,0.00005286898,0.000025895759,0.000005816707,0.000073537376,0.9646352,0.007999887,0.00004126387,0.00034337785,0.00006129168],"about_ca_topic_score_codex":0.0000104692335,"about_ca_topic_score_gemma":0.000004210598,"teacher_disagreement_score":0.83514136,"about_ca_system_score_codex":0.000036435093,"about_ca_system_score_gemma":0.000037549024,"threshold_uncertainty_score":0.22839627},"labels":[],"label_agreement":null},{"id":"W4249700811","doi":"10.1504/ijvp.2018.088783","title":"Advanced control techniques for unmanned ground vehicle: literature survey","year":2017,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Motion planning; Unmanned ground vehicle; Robustness (evolution); Computer science; Reliability (semiconductor); Engineering; Control engineering; Simulation; Artificial intelligence; Robot","score_opus":0.020332818347738906,"score_gpt":0.3092517567214546,"score_spread":0.2889189383737157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249700811","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":[0.57403666,0.00038458116,0.4177559,0.0035616283,0.0035960036,0.00026526174,0.00006035329,0.00007708804,0.0002625135],"genre_scores_gemma":[0.9236721,0.00010568001,0.07519013,0.00031352314,0.0005278547,0.000010552759,0.0000055725695,0.000012891897,0.00016173282],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983582,0.000058659796,0.00049769593,0.00022079975,0.00060594414,0.00025870863],"domain_scores_gemma":[0.99658,0.00023899974,0.00094717095,0.00046294078,0.001667238,0.00010365836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012972116,0.00016441786,0.00026269717,0.00018231003,0.00028781875,0.00080166024,0.0032168266,0.00008933811,0.0000022981556],"category_scores_gemma":[0.0004943015,0.00014150138,0.00012269095,0.000079505604,0.00007197793,0.0026771727,0.00016005614,0.0003065549,0.000006925517],"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":[0.0014923197,0.00039263425,0.15061237,0.00007270386,0.000533084,0.00033069862,0.001058411,0.0043701823,0.011887541,0.0018527242,0.0026276547,0.8247697],"study_design_scores_gemma":[0.0034230642,0.0007629835,0.6246933,0.00062935456,0.000013432136,0.00033872234,0.000007398657,0.35518843,0.010432668,0.00079383363,0.0033859846,0.0003308757],"about_ca_topic_score_codex":0.000011632908,"about_ca_topic_score_gemma":0.0000019950207,"teacher_disagreement_score":0.8244388,"about_ca_system_score_codex":0.000103940474,"about_ca_system_score_gemma":0.0001151563,"threshold_uncertainty_score":0.77304286},"labels":[],"label_agreement":null}]}