{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"cd1633acdcfa","filters":{"venue":"Journal of Intelligent and Connected Vehicles"}},"results":[{"id":"W4220661746","doi":"10.1108/jicv-02-2022-0005","title":"Merging control strategies of connected and autonomous vehicles at freeway on-ramps: a comprehensive review","year":2022,"lang":"en","type":"review","venue":"Journal of Intelligent and Connected Vehicles","topic":"Traffic control and management","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Context (archaeology); Control (management); Computer science; Transport engineering; Field (mathematics); Traffic flow (computer networking); Operations research; Engineering; Computer network; Artificial intelligence; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.03230161126339082,"gpt":0.268033299054137,"spread":0.2357316877907462,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003668915,0.0005681745,0.002609283,0.0004255736,0.0001149224,0.00007038734,0.000322944,0.0001521341,0.0002065962],"category_scores_gemma":[0.00008773096,0.0004462911,0.000515751,0.0002614184,0.0001137626,0.0001155018,0.0001179959,0.0006587895,0.000004040361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549419,"about_ca_system_score_gemma":0.000111044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001007265,"about_ca_topic_score_gemma":0.00001346294,"domain_scores_codex":[0.9971988,0.0002525942,0.001582135,0.0002803497,0.0003675852,0.0003185436],"domain_scores_gemma":[0.9971926,0.001336618,0.0008774095,0.000248003,0.0001808594,0.0001644893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005768549,0.00006093492,0.000001863324,0.02783527,0.001876166,0.0000968769,0.0001537281,0.000844014,0.00007110205,0.00110993,0.001187908,0.9667045],"study_design_scores_gemma":[0.0007697541,0.0004572133,0.00002578951,0.02069583,0.001996323,0.0002102264,0.0005616183,0.000803182,0.00002036012,0.00007945801,0.9739488,0.0004314577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002191407,0.9960711,0.0001261052,0.00008700885,0.0003456774,0.0007470637,0.00007428634,0.00008423186,0.0002731438],"genre_scores_gemma":[0.01553506,0.9840627,0.00005269844,0.0000859728,0.0001063722,0.00003844394,0.00001817832,0.00006322595,0.00003738045],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9727609,"threshold_uncertainty_score":0.9997989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2894721641","doi":"10.1108/jicv-02-2018-0004","title":"A novel intelligent vehicle risk assessment method combined with multi-sensor fusion in dense traffic environment","year":2018,"lang":"en","type":"article","venue":"Journal of Intelligent and Connected Vehicles","topic":"Traffic and Road Safety","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Natural Science Foundation of China; Canadian Institute for Advanced Research","keywords":"Sensor fusion; Trajectory; Computer science; Position (finance); Track (disk drive); Road traffic safety; Real-time computing; Transport engineering; Intelligent transportation system; Simulation; Data mining; Engineering; Computer vision; Road traffic","retraction":null,"screen_n_in":null,"score":{"opus":0.01674188009163582,"gpt":0.2517954988192786,"spread":0.2350536187276428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000600083,0.0002807948,0.0004329454,0.0002651844,0.0001068315,0.00004733605,0.0001701529,0.0001315939,0.00008424103],"category_scores_gemma":[0.00003533953,0.0002052402,0.0001045701,0.0001978665,0.0001175902,0.0001278696,0.00004111866,0.0005175861,0.00001607636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545359,"about_ca_system_score_gemma":0.00004234718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001549961,"about_ca_topic_score_gemma":0.0001376908,"domain_scores_codex":[0.9983153,0.0001153066,0.0007240187,0.0002162254,0.0003088223,0.0003203685],"domain_scores_gemma":[0.9990356,0.0002474175,0.0002252554,0.0001679252,0.0001337903,0.0001900233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002795503,0.002262625,0.02896947,0.0001629402,0.001061199,0.0002357453,0.008521281,0.3249143,0.1201992,0.0004103266,0.0002387768,0.5102286],"study_design_scores_gemma":[0.005136289,0.003241921,0.1435669,0.0004778044,0.0002497287,0.0003284551,0.004618508,0.7861871,0.05184657,0.00006373632,0.003515318,0.0007677504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8226039,0.0005264418,0.1762653,0.0001050067,0.0001781503,0.000200925,0.000009394159,0.00005072353,0.00006022051],"genre_scores_gemma":[0.958428,0.001787325,0.03955328,0.00003615396,0.0001126929,0.000005084187,0.000002672273,0.00003895074,0.00003587756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5094609,"threshold_uncertainty_score":0.8369451,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2990404565","doi":"10.1108/jicv-07-2019-0008","title":"Prediction of instantaneous driving safety in emergency scenarios based on connected vehicle basic safety messages","year":2019,"lang":"en","type":"article","venue":"Journal of Intelligent and Connected Vehicles","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Engineering; Computer science; Warning system; Active safety; Computer security; Automotive engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.008420245883379432,"gpt":0.1991340032064378,"spread":0.1907137573230583,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005303817,0.0002532629,0.0005478373,0.00050029,0.00006687876,0.00001180568,0.0002391175,0.0002798541,0.0003126812],"category_scores_gemma":[0.0001808774,0.0002310485,0.0001355777,0.0004271965,0.00007354993,0.0001719195,0.00003359098,0.0006530636,0.00001026397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001515755,"about_ca_system_score_gemma":0.00006228232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009304199,"about_ca_topic_score_gemma":0.00005679398,"domain_scores_codex":[0.9979234,0.0001007105,0.001210573,0.0002023753,0.0002645245,0.0002984603],"domain_scores_gemma":[0.9987582,0.0004076241,0.0003209724,0.0002338246,0.0001882007,0.00009118117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002830497,0.000638068,0.4529268,0.0005156434,0.0005484702,0.000204282,0.001701362,0.2061076,0.2182602,0.003210464,0.0002240684,0.1128326],"study_design_scores_gemma":[0.003757436,0.001823319,0.283042,0.001370854,0.0001237372,0.0001488779,0.001721672,0.5853109,0.1190752,0.00107903,0.001884915,0.0006620772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957851,0.0007901089,0.001448295,0.000224473,0.0004134592,0.0002498006,0.00002713786,0.0001218969,0.0009397455],"genre_scores_gemma":[0.9976946,0.002010048,0.0001394877,0.00002900382,0.00004105127,0.000002347778,0.000006978859,0.00003364476,0.00004285988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3792033,"threshold_uncertainty_score":0.9421884,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4395017507","doi":"10.26599/jicv.2023.9210031","title":"Ethical Decision-Making in Older Drivers During Critical Driving Situations: An Online Experiment","year":2024,"lang":"en","type":"article","venue":"Journal of Intelligent and Connected Vehicles","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Ethical decision; Applied psychology; Computer science; Internet privacy; Social psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.0501852522724252,"gpt":0.4228064074125395,"spread":0.3726211551401143,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001398397,0.0000988551,0.0001944228,0.0002668717,0.0003570646,0.0004544894,0.0001647213,0.0002669821,0.0001370474],"category_scores_gemma":[0.004228092,0.0000868138,0.0000899619,0.0002517399,0.0002590112,0.0005649536,0.00004093994,0.0009294621,0.000002449618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514677,"about_ca_system_score_gemma":0.0002591463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007687743,"about_ca_topic_score_gemma":0.001480506,"domain_scores_codex":[0.9983987,0.0002505645,0.0004528341,0.000150036,0.0005052509,0.0002426628],"domain_scores_gemma":[0.9969333,0.002349881,0.0000707345,0.00005939637,0.0003892349,0.0001974345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001895695,0.0009463688,0.01437988,0.0001208539,0.0002012788,0.001079749,0.4162885,0.0002494522,0.0187727,0.3128461,0.0003724128,0.2345531],"study_design_scores_gemma":[0.001223418,0.0009841049,0.1092236,0.01200632,0.0001966429,0.0001234933,0.438673,0.008785194,0.006467863,0.4161201,0.004982057,0.001214315],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848421,0.001511666,0.001172417,0.01176146,0.0004142751,0.00007091386,0.000001746485,0.00002587671,0.0001995686],"genre_scores_gemma":[0.9960483,0.001763499,0.001431488,0.0002911869,0.0004331446,9.604164e-7,4.73902e-7,0.00001062711,0.00002036956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2333388,"threshold_uncertainty_score":0.5061727,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3004315574","doi":"10.1108/jicv-10-2019-0012","title":"An investigation on the link between driver demographic characteristics and distracted driving by using the SHRP 2 naturalistic driving data","year":2020,"lang":"en","type":"article","venue":"Journal of Intelligent and Connected Vehicles","topic":"Traffic and Road Safety","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Phone; Distracted driving; Crash; Applied psychology; Population; Originality; Poison control; Logistic regression; Human factors and ergonomics; Psychology; Engineering; Demography; Environmental health; Computer science; Social psychology; Statistics; Medicine; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.04516011330703471,"gpt":0.2462877686164796,"spread":0.2011276553094449,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002918699,0.0001622621,0.000209085,0.00004851412,0.0002196595,0.0001539089,0.0003392496,0.00008714598,0.000007431099],"category_scores_gemma":[0.0001950259,0.00009459491,0.00003637397,0.0001708424,0.0001314109,0.000247275,0.00005579719,0.0005726997,6.09162e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001508619,"about_ca_system_score_gemma":0.00001744411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003851205,"about_ca_topic_score_gemma":0.000006160582,"domain_scores_codex":[0.9990143,0.00009919568,0.0004062747,0.0001416633,0.0001871274,0.0001514645],"domain_scores_gemma":[0.998866,0.0005394936,0.0001794326,0.0001759966,0.0000818028,0.0001573181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009673252,0.00003835098,0.5954581,0.0001723388,0.0009898103,0.00004403796,0.00760315,0.002649593,0.1348207,0.0009030962,0.001507455,0.2557167],"study_design_scores_gemma":[0.00029053,0.0002110992,0.5380493,0.0004063092,0.0003530909,0.00004779793,0.001481928,0.4517361,0.004791845,0.0001875528,0.002054752,0.0003896354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929107,0.0005397308,0.003547711,0.002713664,0.0001117108,0.00009095286,0.00003780528,0.00004432378,0.000003347142],"genre_scores_gemma":[0.9984416,0.0006009864,0.0001448655,0.0001630957,0.000587028,3.813035e-7,0.00004020452,0.00002059108,0.000001218589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4490865,"threshold_uncertainty_score":0.3857469,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406047093","doi":"10.26599/jicv.2023.9210046","title":"Extracting Networkwide Road Segment Location, Direction, and Turning Movement Rules From Global Positioning System Vehicle Trajectory Data for Macrosimulation","year":2024,"lang":"en","type":"article","venue":"Journal of Intelligent and Connected Vehicles","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Trajectory; Movement (music); Computer vision; Computer science; Geodesy; Artificial intelligence; Geography; Acoustics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01488482103817245,"gpt":0.2479712002791782,"spread":0.2330863792410057,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004264353,0.0001544476,0.0002158966,0.00008968875,0.000199314,0.000146286,0.000129785,0.0001236115,0.000005899628],"category_scores_gemma":[0.00005102722,0.0001452155,0.00004280126,0.0001345895,0.00003923835,0.0003668407,0.00004502697,0.0002202956,0.000001665032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899233,"about_ca_system_score_gemma":0.00002992607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003260951,"about_ca_topic_score_gemma":0.0000295744,"domain_scores_codex":[0.9989321,0.00003590562,0.0005363961,0.0002026348,0.0001199564,0.0001730196],"domain_scores_gemma":[0.9992584,0.0002785149,0.0001269396,0.0001374337,0.0001338167,0.00006489562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002460098,0.00006433524,0.01359502,0.0006794188,0.001238336,0.00004566686,0.001367166,0.1137805,0.04232144,0.00342282,0.000662719,0.8225765],"study_design_scores_gemma":[0.0003233884,0.00008660693,0.02098099,0.0008925978,0.0001743556,0.00006385423,0.001388029,0.9650251,0.008701709,0.001165952,0.00099409,0.0002032711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8473039,0.02083569,0.1307401,0.0001587069,0.0004738586,0.0001514501,0.00006256958,0.0002349184,0.00003876094],"genre_scores_gemma":[0.996811,0.0005638338,0.002215991,0.00002915421,0.0002963809,0.000005975261,0.00004928405,0.00002002135,0.000008370549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8512446,"threshold_uncertainty_score":0.5921718,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}