{"meta":{"query_hash":"ba0a6f6440bf","filters":{"venue":"European Transport Research Review"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ba0a6f6440bf","api":"https://metacan.xera.ac/api/v1/cohort?venue=European+Transport+Research+Review"},"results":[{"id":"W2104128206","doi":"10.1007/s12544-012-0072-y","title":"Sensitivity of a real-time freeway crash prediction model to calibration optimality","year":2012,"lang":"en","type":"article","venue":"European Transport Research Review","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crash; Calibration; Categorical variable; Sensitivity (control systems); Speed limit; Heuristic; Statistics; Computer science; Variable (mathematics); Set (abstract data type); Poison control; Engineering; Mathematics; Transport engineering; Artificial intelligence","score_opus":0.07306823615394333,"score_gpt":0.30987373446854416,"score_spread":0.23680549831460085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104128206","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":[0.43478298,0.028894568,0.28176168,0.0009961948,0.0005142404,0.0050210143,0.0009989964,0.0022256507,0.24480468],"genre_scores_gemma":[0.9705585,0.026443273,0.0023040762,0.000031708438,0.00014812514,0.000013896777,0.00010319439,0.000057719684,0.00033947395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99775416,0.0006378477,0.00045802354,0.00019520397,0.00050580216,0.00044893686],"domain_scores_gemma":[0.9990901,0.000060380415,0.000027207017,0.00040617996,0.00011790328,0.00029827526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059780595,0.0001480447,0.00031360844,0.00008281478,0.00006871661,0.0000060190387,0.00013735109,0.000038611677,0.00011667832],"category_scores_gemma":[0.000049095954,0.00013154896,0.00011337856,0.00041006037,0.000056956607,0.0002615279,0.000022466671,0.00028951708,0.00020783783],"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":[0.00018580741,0.0012260346,0.029591443,0.04040389,0.0004357356,0.00018701593,0.0049147275,0.5524767,0.13214687,0.0027146018,0.111337356,0.124379836],"study_design_scores_gemma":[0.00069405854,0.00023869607,0.6580361,0.00843892,0.00022803935,0.000027501916,0.000035998466,0.2674322,0.0032480077,0.000018552159,0.060620535,0.0009813932],"about_ca_topic_score_codex":0.000025322375,"about_ca_topic_score_gemma":0.000008572934,"teacher_disagreement_score":0.6284447,"about_ca_system_score_codex":0.000053743268,"about_ca_system_score_gemma":0.000033127566,"threshold_uncertainty_score":0.5364411},"labels":[],"label_agreement":null},{"id":"W2133251833","doi":"10.1007/s12544-015-0156-6","title":"Review of remote sensing methodologies for pavement management and assessment","year":2015,"lang":"en","type":"article","venue":"European Transport Research Review","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":216,"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 Calgary","funders":"Office of Naval Research","keywords":"Bridge (graph theory); Process (computing); Construction engineering; Transport engineering; Pavement management; Engineering; Computer science; Risk analysis (engineering); Remote sensing; Civil engineering; Geography; Business","score_opus":0.2695762037981445,"score_gpt":0.43435649568213436,"score_spread":0.16478029188398985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133251833","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000101005724,0.809278,0.15379046,0.00037207355,0.00027193944,0.0018001833,0.000008686177,0.00009940306,0.03427825],"genre_scores_gemma":[0.0007166045,0.7162567,0.28259656,0.0002037496,0.000069629175,0.0000053038825,0.00001504721,0.00003300182,0.000103442064],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829507,0.00031736813,0.000466593,0.00021273093,0.00036049675,0.0003477413],"domain_scores_gemma":[0.99917674,0.00007468029,0.000045993747,0.0003409678,0.00024863557,0.00011300078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007962391,0.00014895269,0.0004132586,0.000074081836,0.000042209627,0.000008598603,0.00017584191,0.00001526489,0.00000838649],"category_scores_gemma":[0.00008937844,0.00011829654,0.000089053945,0.000217162,0.000060227863,0.000055591194,0.00004328867,0.0002321691,0.000004361525],"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":[0.000003742905,0.0000024150747,0.00001212649,0.14822263,0.000070274284,0.000047020178,0.00004729579,0.000016707805,0.00008205983,0.00035676642,0.01150438,0.8396346],"study_design_scores_gemma":[0.00023824467,0.0000827997,0.00056196837,0.0850453,0.000097811266,0.0000066135226,0.00006486518,0.00008588903,0.00035999983,0.00042441132,0.9128757,0.00015641058],"about_ca_topic_score_codex":0.0000050170584,"about_ca_topic_score_gemma":9.529552e-7,"teacher_disagreement_score":0.9013713,"about_ca_system_score_codex":0.00006873412,"about_ca_system_score_gemma":0.00002402232,"threshold_uncertainty_score":0.48239928},"labels":[],"label_agreement":null},{"id":"W4281485703","doi":"10.1186/s12544-022-00547-0","title":"Implications of COVID-19 for future travel behaviour in the rural periphery","year":2022,"lang":"en","type":"article","venue":"European Transport Research Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Transport Canada","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transport engineering; Engineering; Forensic engineering; Virology; Medicine; Outbreak","score_opus":0.17088704544184066,"score_gpt":0.4474555774101848,"score_spread":0.2765685319683442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281485703","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":[0.49959815,0.18746658,0.00077183114,0.17453678,0.00050685415,0.015236835,0.001684911,0.00014862619,0.12004946],"genre_scores_gemma":[0.9851219,0.012075574,0.00005176525,0.0012020741,0.00018865633,0.00044607645,0.00018961285,0.000019093393,0.00070522033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995532,0.0023211793,0.00052884594,0.00029085463,0.0008680658,0.00045910603],"domain_scores_gemma":[0.9988961,0.0002273822,0.00009681364,0.00046541585,0.00014357101,0.00017069305],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01579581,0.000103863014,0.00026543118,0.00008577992,0.0011815735,0.000019751957,0.0014070271,0.000021554093,0.0016592275],"category_scores_gemma":[0.00012495919,0.00007906043,0.0002480516,0.0012664895,0.00040956392,0.00011480205,0.00002185191,0.00054615404,0.0000052100645],"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":[0.00012413312,0.0011925496,0.8559525,0.0049323286,0.000030736795,0.00009938743,0.057636566,0.000008235712,0.00012090169,0.02526979,0.02463964,0.029993234],"study_design_scores_gemma":[0.00018931698,0.000055425437,0.5426271,0.0000807262,0.00002486102,7.0745546e-7,0.0110531375,1.6447218e-7,0.0000010980549,0.00036114932,0.44552195,0.00008440067],"about_ca_topic_score_codex":0.0010864118,"about_ca_topic_score_gemma":0.00263696,"teacher_disagreement_score":0.4855238,"about_ca_system_score_codex":0.00012954243,"about_ca_system_score_gemma":0.0007017628,"threshold_uncertainty_score":0.9992534},"labels":[],"label_agreement":null},{"id":"W4323662735","doi":"10.1186/s12544-023-00581-6","title":"Smart port: a systematic literature review","year":2023,"lang":"en","type":"article","venue":"European Transport Research Review","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Trois-Rivières","funders":"Mitacs","keywords":"Port (circuit theory); Sustainability; Work (physics); Triple bottom line; Systematic review; Business; Engineering; Process management; Risk analysis (engineering); Political science","score_opus":0.08405957211872643,"score_gpt":0.3246007495478724,"score_spread":0.24054117742914594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323662735","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018760667,0.86921984,0.00009796397,0.00059931376,0.0001770595,0.0017688975,0.000040206818,0.00068541133,0.12739256],"genre_scores_gemma":[0.0041746236,0.9880221,0.000063669795,0.000600295,0.0001266859,0.00012907981,0.000387585,0.000107433,0.006388541],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99667174,0.0006048789,0.00090874644,0.0003315912,0.000815542,0.0006674801],"domain_scores_gemma":[0.99846524,0.00011423677,0.00004912673,0.00086801767,0.00023644727,0.00026694464],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007987725,0.0002624109,0.0007907308,0.00018607185,0.000104335384,0.000047571997,0.0005216787,0.00003884414,0.0008188362],"category_scores_gemma":[0.0003258547,0.0002009325,0.00024737674,0.0021328016,0.00006811656,0.00009969794,0.000037566024,0.00075587974,0.0037646273],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.3624046e-7,0.000010448582,0.000051598447,0.82912076,0.000035551482,0.0027346825,0.000033482695,0.00000571671,0.0000043502246,0.0002442348,0.16502297,0.0027356718],"study_design_scores_gemma":[0.00005066835,0.000019294577,0.00088117656,0.54484755,0.000089879,0.000049370774,0.0000025303673,0.000054760225,0.0000015395023,0.000012671402,0.45379242,0.00019812059],"about_ca_topic_score_codex":0.0000022176318,"about_ca_topic_score_gemma":0.0000034597538,"teacher_disagreement_score":0.28876945,"about_ca_system_score_codex":0.00003328108,"about_ca_system_score_gemma":0.000032334177,"threshold_uncertainty_score":0.99701107},"labels":[],"label_agreement":null},{"id":"W4382774409","doi":"10.1186/s12544-023-00588-z","title":"Correction: Smart port: a systematic literature review","year":2023,"lang":"en","type":"article","venue":"European Transport Research Review","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Trois-Rivières","funders":"Mitacs","keywords":"Port (circuit theory); Engineering; Construction engineering; Computer science; Mechanical engineering","score_opus":0.05872576739712914,"score_gpt":0.31185890634766905,"score_spread":0.2531331389505399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382774409","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000055329718,0.7394445,0.0000610016,0.012220653,0.0011839981,0.0066465796,0.0000041558646,0.00097115146,0.2394126],"genre_scores_gemma":[0.0040969322,0.9202224,0.000019480327,0.01283889,0.0011634306,0.0005757094,0.0006111502,0.00016793208,0.06030407],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950402,0.00056355086,0.0010788573,0.0007375792,0.0016011093,0.0009787203],"domain_scores_gemma":[0.99733573,0.00014979737,0.00026615584,0.0012074767,0.0009766629,0.00006418215],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01804041,0.0003712079,0.000879183,0.0008179589,0.00040503067,0.0002918141,0.0010282493,0.000037931673,0.001235972],"category_scores_gemma":[0.0013721269,0.00029730937,0.00037788472,0.008836514,0.00009539276,0.0008508188,0.00025726302,0.00075548876,0.015593699],"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":[0.0000027566305,0.000026250977,0.00025771424,0.56086344,0.00003392122,0.0021955732,0.000016851092,0.000001566881,7.31558e-7,0.0007729796,0.43407947,0.001748753],"study_design_scores_gemma":[0.0001021543,0.000009516162,0.0016472739,0.39572465,0.00016292228,0.0000114351,0.00007089545,0.00004021705,1.8593491e-7,0.00003831379,0.6019794,0.00021309231],"about_ca_topic_score_codex":0.00003154022,"about_ca_topic_score_gemma":0.000014273681,"teacher_disagreement_score":0.18077788,"about_ca_system_score_codex":0.00009199752,"about_ca_system_score_gemma":0.000052994048,"threshold_uncertainty_score":0.9999479},"labels":[],"label_agreement":null},{"id":"W4408867642","doi":"10.1186/s12544-025-00714-z","title":"Urban mobility under armed conflict: shifts in mode preferences and public transport fare behaviors","year":2025,"lang":"en","type":"article","venue":"European Transport Research Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","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":"Dalhousie University","funders":"","keywords":"Public transport; Mode (computer interface); Mode choice; Transport engineering; Engineering; Computer science; Human–computer interaction","score_opus":0.1720145371383716,"score_gpt":0.42731518309407535,"score_spread":0.2553006459557038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408867642","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":[0.8404291,0.0551487,0.000099914054,0.004067119,0.00013730499,0.0025094382,0.00007755764,0.00017073234,0.09736008],"genre_scores_gemma":[0.9519276,0.04564753,0.00003603314,0.00036725347,0.00005745766,0.00011755563,0.00011994925,0.00002849813,0.0016981035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99338174,0.0020234096,0.0010896543,0.0010991516,0.0012281709,0.001177854],"domain_scores_gemma":[0.9980878,0.00021460123,0.00010228796,0.00072028575,0.00037974957,0.000495243],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009216332,0.00033261246,0.00073185866,0.0003523728,0.00065465074,0.000099716126,0.0011499089,0.00013745105,0.0008030145],"category_scores_gemma":[0.0001671137,0.0002952923,0.00021913426,0.0021452338,0.0016366306,0.00063583377,0.000037528273,0.0011072085,0.000029667779],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003460693,0.000496513,0.97879064,0.0023485248,0.000026915985,0.00008815761,0.0027079526,4.8923357e-7,0.00003146744,0.004076906,0.0004600729,0.0109377345],"study_design_scores_gemma":[0.00037689586,0.00003675814,0.87459975,0.0019932427,0.000056653967,1.0686807e-7,0.00084589096,0.0000013379483,0.000007131901,0.00049110834,0.121324964,0.00026616722],"about_ca_topic_score_codex":0.0054260176,"about_ca_topic_score_gemma":0.039671175,"teacher_disagreement_score":0.12086489,"about_ca_system_score_codex":0.00017225876,"about_ca_system_score_gemma":0.00089372665,"threshold_uncertainty_score":0.99994993},"labels":[],"label_agreement":null},{"id":"W4410127303","doi":"10.1186/s12544-025-00709-w","title":"Rear-end conflicts analysis at non-signalized intersection based on vehicles trajectory data","year":2025,"lang":"en","type":"article","venue":"European Transport Research Review","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"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":"Fundamental Research Funds for Central Universities of the Central South University; Central South University; National Natural Science Foundation of China","keywords":"Intersection (aeronautics); Trajectory; Transport engineering; Roundabout; Engineering; Computer science; Physics","score_opus":0.09901955264140587,"score_gpt":0.3449800321451239,"score_spread":0.24596047950371802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410127303","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0645355,0.1163562,0.035089746,0.0016282372,0.00092199625,0.003464091,0.00059378974,0.0017651981,0.77564526],"genre_scores_gemma":[0.96008325,0.03589684,0.0001338255,0.0003031075,0.000067800625,0.000019133055,0.0009189122,0.000057498823,0.0025196262],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973306,0.0006023653,0.00051907555,0.00054921705,0.0005651245,0.00043362062],"domain_scores_gemma":[0.99822557,0.00017370311,0.000032336382,0.001317373,0.00009417048,0.00015683945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034630117,0.00023007976,0.00050658564,0.000471215,0.00017381112,0.000023120228,0.00079592376,0.000048898557,0.00079935207],"category_scores_gemma":[0.000046110945,0.0001968046,0.0002498083,0.0018199087,0.00011968865,0.0001011007,0.000055290267,0.0006082999,0.000337722],"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":[0.001715498,0.0011253037,0.016676266,0.053904783,0.0079632215,0.0023424095,0.0012893358,0.098195754,0.0072304434,0.00043898515,0.31583315,0.49328482],"study_design_scores_gemma":[0.0007636985,0.00007763762,0.1608164,0.0047102,0.0007059395,0.0000011971341,0.000017557428,0.02273323,0.00021801394,0.0000012634968,0.8096279,0.00032697155],"about_ca_topic_score_codex":0.000041860407,"about_ca_topic_score_gemma":0.00015864981,"teacher_disagreement_score":0.89554775,"about_ca_system_score_codex":0.0001461216,"about_ca_system_score_gemma":0.00006026023,"threshold_uncertainty_score":0.8752345},"labels":[],"label_agreement":null}]}