{"meta":{"query_hash":"910d2fe76696","filters":{"venue":"Periodica Polytechnica Transportation Engineering"},"cohort_total":19,"direct_labels_cover":0,"predictions_cover":19,"exported":19,"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/910d2fe76696","api":"https://metacan.xera.ac/api/v1/cohort?venue=Periodica+Polytechnica+Transportation+Engineering"},"results":[{"id":"W2029822093","doi":"10.3311/pp.tr.2012-2.09","title":"Statistical analysis of the road vehicle fleet of Hungary from environmental aspects","year":2012,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Energy, Environment, and Transportation Policies","field":"Energy","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":"Transport Canada","funders":"Magyar Tudományos Akadémia","keywords":"Climate change; Sustainable development; Fossil fuel; Road transport; Environmental science; Environmental pollution; Adaptation (eye); Environmental economics; Environmental planning; Natural resource economics; Environmental resource management; Business; Transport engineering; Environmental protection; Engineering; Economics; Waste management; Political science","score_opus":0.005916485400141083,"score_gpt":0.19794677118171525,"score_spread":0.19203028578157416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029822093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997264,0.00003847817,0.00046776448,0.000015520129,0.0000040133236,0.0000037489574,0.0018153801,0.000010171586,0.00038090284],"genre_scores_gemma":[0.995754,0.0000356336,0.00015112777,0.0000029473117,0.000004677464,0.000004122658,0.003774769,0.0000037854916,0.00026895534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997539,0.00004415474,0.000017986,0.00006397228,0.00004944691,0.00007054662],"domain_scores_gemma":[0.99917763,0.0003670514,0.00017986137,0.000069945,0.00012922821,0.00007624676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040735988,0.00019248888,0.00019478527,0.0014763043,0.00014189248,0.00045852482,0.00028046596,0.00022083384,0.0014398071],"category_scores_gemma":[0.0013537857,0.0000961069,0.00042291003,0.0010768449,0.00021568686,0.00025791395,0.00031324234,0.00021260194,0.00026994201],"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":[0.00048882014,0.00009496942,0.9035641,0.000041342217,0.000353421,0.0008844964,0.00013048202,0.074883945,0.0025554046,0.001052686,0.0013504997,0.014599864],"study_design_scores_gemma":[0.0000030865604,0.00007806653,0.97346437,0.000003343959,0.000021299014,0.0001100206,0.00018029091,0.025083518,0.0004571182,0.00012366103,0.0004669964,0.000008274089],"about_ca_topic_score_codex":0.018857026,"about_ca_topic_score_gemma":0.007755467,"teacher_disagreement_score":0.018857026,"about_ca_system_score_codex":0.0005077167,"about_ca_system_score_gemma":0.0002769262,"threshold_uncertainty_score":0.03749454},"labels":[],"label_agreement":null},{"id":"W2077271626","doi":"10.3311/pptr.7224","title":"Coherence between Horizontal and Vertical Curves and the Number of the Accidents","year":2014,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Transportation Safety and Impact Analysis","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":"Transport Canada","funders":"","keywords":"Geoinformatics; Horizontal and vertical; Coherence (philosophical gambling strategy); Geodesy; Crash; Transport engineering; Road traffic; Statistics; Mathematics; Computer science; Engineering; Geography; Cartography","score_opus":0.0040446129244790276,"score_gpt":0.19999347814987975,"score_spread":0.19594886522540073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077271626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99051523,0.00012100968,0.0047436655,0.000049509104,0.000006118933,0.000019038156,0.0008178961,0.00007626557,0.0036513596],"genre_scores_gemma":[0.9987936,0.000020494994,0.0005573389,0.0000019278702,0.000003141283,0.000006440026,0.00039727683,0.0000061647443,0.00021360286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974948,0.0005007178,0.00038331235,0.00062975753,0.0007916946,0.00019963681],"domain_scores_gemma":[0.97891074,0.010936665,0.0041075144,0.0015251075,0.0040559457,0.00046397033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016163366,0.00021871409,0.00023080077,0.0038300776,0.0003891894,0.0008755874,0.00028888063,0.00033466858,0.0023505376],"category_scores_gemma":[0.013208147,0.00016346158,0.00039985697,0.003866468,0.0006309857,0.00069720706,0.0007605539,0.00032246477,0.0004080649],"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":[0.00019004419,0.000026920958,0.97291034,0.0000488247,0.00012315156,0.00009561737,0.0011493458,0.0044022114,0.0015731548,0.001510531,0.00025315228,0.017716683],"study_design_scores_gemma":[0.0000026477185,0.00009230107,0.9923609,0.00001158305,0.000036218873,0.00010654256,0.0009806502,0.003973861,0.0006594865,0.0010215963,0.0007372711,0.000016977678],"about_ca_topic_score_codex":0.010618463,"about_ca_topic_score_gemma":0.0066271387,"teacher_disagreement_score":0.010618463,"about_ca_system_score_codex":0.0005623298,"about_ca_system_score_gemma":0.00059060066,"threshold_uncertainty_score":0.021113276},"labels":[],"label_agreement":null},{"id":"W2725702273","doi":"10.3311/pptr.10113","title":"Exposure to Traffic-related Air Pollution and the Onset of Childhood Asthma: A Review of the Literature and the Assement Methods Used","year":2017,"lang":"en","type":"review","venue":"Periodica Polytechnica Transportation Engineering","topic":"Air Quality and Health Impacts","field":"Environmental Science","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":"Transport Canada","funders":"Magyar Tudományos Akadémia","keywords":"Asthma; Environmental health; Exposure assessment; Incidence (geometry); Air pollution; Medicine; Trap (plumbing); Early childhood; Psychology; Geography; Developmental psychology; Immunology; Meteorology","score_opus":0.022514900861983708,"score_gpt":0.328107229978034,"score_spread":0.3055923291160503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725702273","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017321555,0.9995308,0.000028181656,0.000081943595,0.000041930358,0.0000063743137,0.000023536284,9.064492e-7,0.00011321705],"genre_scores_gemma":[0.00092512806,0.9988041,0.00009115834,0.00006550179,0.000042420914,0.0000086428345,0.000020716245,2.844653e-7,0.00004189584],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99865985,0.0003019009,0.00045633127,0.00019847938,0.00032908644,0.000054434666],"domain_scores_gemma":[0.99698216,0.0019386209,0.00061871356,0.00004086774,0.0003757457,0.00004382328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024944998,0.001065896,0.0017400798,0.007954748,0.00033357536,0.0014821459,0.0010572945,0.0011447066,0.0023258086],"category_scores_gemma":[0.004615681,0.00054777524,0.002054546,0.008460662,0.00048619468,0.0014627052,0.0007982441,0.0008739029,0.00038542412],"study_design_candidate":"systematic_review","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":[0.00017907177,0.00014902849,0.0045556184,0.39069605,0.0019941847,0.00048103704,0.00042061342,0.00040025226,0.0007637987,0.002058473,0.008274345,0.59002745],"study_design_scores_gemma":[0.000082187355,0.00075107237,0.047974408,0.43277404,0.015675321,0.0076134144,0.0015868618,0.0004218717,0.0013020321,0.0030919886,0.48855537,0.00017142798],"about_ca_topic_score_codex":0.004096636,"about_ca_topic_score_gemma":0.00884195,"teacher_disagreement_score":0.007954748,"about_ca_system_score_codex":0.0008309306,"about_ca_system_score_gemma":0.003503001,"threshold_uncertainty_score":0.013192356},"labels":[],"label_agreement":null},{"id":"W2725850924","doi":"10.3311/pptr.10744","title":"Average Vehicles Length in Two-lane Urban Roads: A Case Study in Budapest","year":2017,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Traffic flow (computer networking); Estimation; Computer science; Transport engineering; Set (abstract data type); Detector; Environmental science; Engineering; Telecommunications","score_opus":0.011802359388520764,"score_gpt":0.25309391434258305,"score_spread":0.2412915549540623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725850924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985557,0.000037973106,0.00046345982,0.0000146026505,0.0000033529864,0.000017712517,0.0002453046,0.0000073334995,0.0006545964],"genre_scores_gemma":[0.99883837,0.00004908262,0.00049064535,0.0000035939436,0.000002844923,0.000010359381,0.00021443154,0.0000029321527,0.00038777466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993994,0.00014761966,0.000042150798,0.00015862235,0.00011730942,0.00013480127],"domain_scores_gemma":[0.99920064,0.0003605825,0.00010775368,0.00007894171,0.00016091274,0.000091070426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041796832,0.0003994948,0.00041042225,0.0009110885,0.0005955598,0.000987887,0.0009813963,0.0009997226,0.0007037662],"category_scores_gemma":[0.0008087545,0.0002547282,0.0004693609,0.0018366228,0.00074773113,0.0005538511,0.0005301764,0.00034000524,0.00017759706],"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":[0.0010902694,0.0018509981,0.6672812,0.0005811909,0.0003733117,0.07076284,0.004969957,0.19928011,0.012290934,0.00313772,0.0024301622,0.03595135],"study_design_scores_gemma":[0.00007811073,0.000829462,0.8586645,0.00005278124,0.00019776862,0.003916938,0.016280126,0.10703705,0.008601741,0.00089190505,0.0033180255,0.00013150104],"about_ca_topic_score_codex":0.061381847,"about_ca_topic_score_gemma":0.06997741,"teacher_disagreement_score":0.061381847,"about_ca_system_score_codex":0.0018213895,"about_ca_system_score_gemma":0.00056421716,"threshold_uncertainty_score":0.12204915},"labels":[],"label_agreement":null},{"id":"W2726091340","doi":"10.3311/pptr.9869","title":"Transportation in Brazil: Joinville","year":2017,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","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":"Transport Canada","funders":"","keywords":"Investment (military); Transport engineering; Computer science; Business; Engineering; Political science; Law","score_opus":0.01466328466448224,"score_gpt":0.2918240411498969,"score_spread":0.27716075648541466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2726091340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5726177,0.021158144,0.0026925956,0.041911535,0.0005005558,0.00018408676,0.002554219,0.00029299554,0.35808808],"genre_scores_gemma":[0.9647708,0.007515032,0.0013060363,0.0010002846,0.000103822116,0.00005284077,0.00074598665,0.000041123047,0.024464015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996247,0.000083607425,0.000012485949,0.00005335328,0.00008991092,0.00013576224],"domain_scores_gemma":[0.9996063,0.00006545282,0.00007538532,0.000020293592,0.00012850457,0.00010409288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035571557,0.00028930453,0.00019306898,0.00092875207,0.002728568,0.0022636168,0.00039024843,0.0010747402,0.00583277],"category_scores_gemma":[0.0012246281,0.00014564785,0.00029091927,0.0028136391,0.001002519,0.0012831033,0.001474487,0.00071756117,0.00046672413],"study_design_candidate":"observational","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":[0.00017241352,0.00022259918,0.12675215,0.0021761528,0.00008763157,0.008526037,0.06608768,0.0037123382,0.010026622,0.46377602,0.079830855,0.23862955],"study_design_scores_gemma":[0.0000117695945,0.00009792522,0.15846527,0.0005766142,0.000049338323,0.0021235587,0.034969855,0.0014721047,0.0009903547,0.0065046344,0.7946702,0.000068397],"about_ca_topic_score_codex":0.33346304,"about_ca_topic_score_gemma":0.44241482,"teacher_disagreement_score":0.33346304,"about_ca_system_score_codex":0.0056869583,"about_ca_system_score_gemma":0.006129052,"threshold_uncertainty_score":0.66304415},"labels":[],"label_agreement":null},{"id":"W2945839840","doi":"10.3311/pptr.13167","title":"Analysis of Speed Related Behavior of Kuwaiti Drivers Using the Driver Behavior Questionnaire","year":2019,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"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 Guelph","funders":"","keywords":"Marital status; Psychology; Population; Test (biology); Poison control; Applied psychology; Engineering; Medicine; Environmental health","score_opus":0.005922050730296644,"score_gpt":0.20795453392748467,"score_spread":0.20203248319718803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945839840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99918455,0.000022729295,0.00010235438,0.000007258002,0.0000014662705,0.00003733273,0.00026524387,0.0000023424525,0.00037672807],"genre_scores_gemma":[0.99800175,0.000060939972,0.00048489557,0.000007667704,0.0000025338654,0.00006154387,0.0007671998,0.0000013410879,0.0006121855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977845,0.000043191034,0.000047678946,0.00002589228,0.000073183226,0.000031673277],"domain_scores_gemma":[0.9995121,0.000065054235,0.00018300049,0.000026196203,0.00017152756,0.00004208164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039187758,0.00019947828,0.00014670297,0.0011105711,0.00024390494,0.00025585026,0.00012726661,0.0001469016,0.00094234303],"category_scores_gemma":[0.000973836,0.00010463105,0.00024253328,0.0007079378,0.000095216135,0.00016688606,0.0002149076,0.000181059,0.00015639236],"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":[0.000031468466,0.00007271652,0.9940063,0.00001885363,0.00002614227,0.000047431982,0.0004764695,0.000056368088,0.0011047008,0.000019078492,0.00008216328,0.0040583285],"study_design_scores_gemma":[7.949565e-7,0.00006588209,0.99910283,0.0000025273644,0.0000049717632,0.000039047514,0.00036079466,0.00012636563,0.00013210157,0.0000038468047,0.00015845569,0.0000023827454],"about_ca_topic_score_codex":0.012198206,"about_ca_topic_score_gemma":0.019653006,"teacher_disagreement_score":0.012198206,"about_ca_system_score_codex":0.00022879074,"about_ca_system_score_gemma":0.00023891841,"threshold_uncertainty_score":0.024254441},"labels":[],"label_agreement":null},{"id":"W3202722368","doi":"10.3311/pptr.16871","title":"The Influence of Education Level on Urban Travel Decision-making","year":2021,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Per capita; Modal; Higher education; Proxy (statistics); Population; Sustainable development; Economic growth; Travel behavior; Business; Demographic economics; Geography; Economics; Political science; Sociology; Demography; Microeconomics; Statistics; Mathematics","score_opus":0.012716852817652828,"score_gpt":0.28437536553204196,"score_spread":0.2716585127143891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202722368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953687,0.0001700701,0.00019878334,0.00011965332,0.000006408084,0.0000067950286,0.0001427416,0.000003515096,0.0039833505],"genre_scores_gemma":[0.9994511,0.000043251326,0.00005633977,0.0000072874354,0.0000015389786,0.0000016959597,0.000046799603,0.0000010515159,0.00039094576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937564,0.00027658243,0.000035929548,0.000060913448,0.000098807526,0.00015214506],"domain_scores_gemma":[0.99708986,0.0014690028,0.00043241272,0.00012379963,0.0003375217,0.00054726825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005101585,0.00014373823,0.00015070113,0.0004642905,0.0003187523,0.00096582534,0.00015144704,0.0002141314,0.0050544105],"category_scores_gemma":[0.0030800574,0.00008090659,0.00045189698,0.0005304544,0.0003200184,0.00030370912,0.00050098274,0.00038205966,0.0003523143],"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":[0.00012960259,0.00013024951,0.9834976,0.00003265508,0.00010508417,0.0001245765,0.00067352294,0.0006352823,0.00029908298,0.0003248166,0.00019692669,0.01385047],"study_design_scores_gemma":[0.0000016986473,0.000058442314,0.9976478,0.000014045726,0.000030281764,0.00003362342,0.00088800216,0.00047645878,0.00011541051,0.00014835165,0.0005805489,0.0000053076988],"about_ca_topic_score_codex":0.012362702,"about_ca_topic_score_gemma":0.020021027,"teacher_disagreement_score":0.012362702,"about_ca_system_score_codex":0.00059413834,"about_ca_system_score_gemma":0.0005869908,"threshold_uncertainty_score":0.024581432},"labels":[],"label_agreement":null},{"id":"W3203490563","doi":"10.3311/pptr.18020","title":"Travel Behavior of Car Travelers with the Presence of Park-and-Ride Facilities and Autonomous Vehicles","year":2021,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Modal shift; Transport engineering; Public transport; Travel time; Park and ride; Scarcity; Vehicle miles of travel; Travel behavior; Computer science; Business; Engineering","score_opus":0.00944110436535059,"score_gpt":0.20543077694665265,"score_spread":0.19598967258130207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203490563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99861026,0.000010228263,0.00045244725,0.00001994875,0.000002279132,0.00001499468,0.00019539626,0.000012895601,0.0006814831],"genre_scores_gemma":[0.99812144,0.000020537216,0.0006706509,0.0000058114747,0.0000011391696,0.000019302353,0.00039550167,0.0000028786312,0.00076270936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997826,0.00006225511,0.000010276928,0.000049488048,0.000027810762,0.00006764421],"domain_scores_gemma":[0.99947506,0.00019365903,0.00007732518,0.00004168919,0.0000792754,0.0001330206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030637975,0.00036549298,0.00031395568,0.0003866004,0.00036227598,0.00062707183,0.00061464706,0.00077017973,0.0028914309],"category_scores_gemma":[0.000990205,0.0003009203,0.0006776071,0.0005965679,0.00034053158,0.0006179299,0.0003933282,0.00052221713,0.00031938805],"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":[0.00060114823,0.0010454667,0.16250987,0.000074029944,0.00022396122,0.00057185185,0.00037374263,0.82510895,0.0024619612,0.0010381389,0.0007437028,0.0052471617],"study_design_scores_gemma":[0.00008229708,0.0008104843,0.060450193,0.000011468245,0.000087950924,0.00011188421,0.0013885204,0.9349089,0.0009753253,0.00033203574,0.0007916883,0.00004928399],"about_ca_topic_score_codex":0.053101085,"about_ca_topic_score_gemma":0.05363721,"teacher_disagreement_score":0.053101085,"about_ca_system_score_codex":0.00082721247,"about_ca_system_score_gemma":0.0007671319,"threshold_uncertainty_score":0.105584025},"labels":[],"label_agreement":null},{"id":"W3213977754","doi":"10.3311/pptr.16506","title":"Implementation of a Double Continuous Flow Intersection in Riyadh","year":2021,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Intersection (aeronautics); VisSim; Traffic flow (computer networking); Transport engineering; Level of service; Geometric design; Computer science; Continuous flow; Population; Simulation; Engineering; Medicine","score_opus":0.004706079515261565,"score_gpt":0.20644987036485682,"score_spread":0.20174379084959526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213977754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99061406,0.000038209128,0.004680076,0.000037600465,0.000019946769,0.00007829416,0.0001028808,0.00010240399,0.0043264353],"genre_scores_gemma":[0.9924677,0.000038725586,0.00645721,0.000008723129,0.000002484262,0.000030733365,0.000106074156,0.000003552221,0.00088477065],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926656,0.00019460698,0.00003994476,0.00015267116,0.00015445416,0.00019170833],"domain_scores_gemma":[0.9994566,0.00006175091,0.000082172584,0.00008025115,0.00023859701,0.00008055741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055446324,0.00038550954,0.00024137084,0.0004004259,0.0007948073,0.00097062497,0.0008640918,0.0004774896,0.0019223738],"category_scores_gemma":[0.000626604,0.00018457061,0.0003525749,0.00056891225,0.00048651386,0.00037121412,0.00071607647,0.00034692802,0.00030678956],"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":[0.0040781638,0.0026266496,0.31326932,0.0007874571,0.0002903453,0.006122748,0.0035999864,0.25058472,0.13040392,0.014742085,0.0047192574,0.26877534],"study_design_scores_gemma":[0.0007161813,0.017451275,0.38784844,0.00018771773,0.00062967784,0.0029599674,0.018337857,0.3795636,0.1400077,0.002075578,0.049821135,0.00040078198],"about_ca_topic_score_codex":0.026704947,"about_ca_topic_score_gemma":0.034506246,"teacher_disagreement_score":0.026704947,"about_ca_system_score_codex":0.0017182302,"about_ca_system_score_gemma":0.0029075644,"threshold_uncertainty_score":0.053098977},"labels":[],"label_agreement":null},{"id":"W4200253760","doi":"10.3311/pptr.16383","title":"Land Use as a Criterion for the Selection of the Trip Starting Locations of Park and Ride Mode Travelers","year":2021,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Transportation Planning and Optimization","field":"Social Sciences","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":"Transport Canada","funders":"Budapesti Műszaki és Gazdaságtudományi Egyetem","keywords":"TRIPS architecture; Selection (genetic algorithm); Transport engineering; Mode (computer interface); Land use; Computer science; Destinations; Order (exchange); Operations research; Geography; Mathematics; Engineering; Civil engineering; Business; Tourism; Machine learning","score_opus":0.015569473460426793,"score_gpt":0.2665349662986161,"score_spread":0.2509654928381893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200253760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766178,0.00022146135,0.017245898,0.00008344965,0.000012745922,0.00012096649,0.002873331,0.00011361313,0.0027107112],"genre_scores_gemma":[0.9786971,0.000053343592,0.017502788,0.0000065270638,0.0000068472223,0.00007842137,0.0029640305,0.000016880886,0.0006739475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920636,0.00022208753,0.00008109431,0.00016611093,0.00021373741,0.000110636436],"domain_scores_gemma":[0.99771583,0.0009874759,0.0003757892,0.00018187478,0.0005796485,0.00015923513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010717328,0.0003393875,0.00035229855,0.003352357,0.00042828562,0.0013671629,0.00043840377,0.00032333506,0.0014355499],"category_scores_gemma":[0.004720963,0.00008671562,0.00041948512,0.0028145006,0.00037070012,0.0005580947,0.00063133216,0.00026206637,0.0005577397],"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":[0.00047684967,0.0001361577,0.87997353,0.00029992138,0.00015566894,0.00034242772,0.00095395715,0.016014133,0.005649592,0.0011447426,0.0019589085,0.09289409],"study_design_scores_gemma":[0.000028149689,0.00017247704,0.8776731,0.00008641219,0.00010262445,0.00038295423,0.005411589,0.099987015,0.008117686,0.0010073924,0.0069727646,0.000057806516],"about_ca_topic_score_codex":0.016008673,"about_ca_topic_score_gemma":0.02545292,"teacher_disagreement_score":0.016008673,"about_ca_system_score_codex":0.0006228719,"about_ca_system_score_gemma":0.0005826503,"threshold_uncertainty_score":0.031830966},"labels":[],"label_agreement":null},{"id":"W4317749212","doi":"10.3311/pptr.18794","title":"Analysis of Technical Errors Made by Motorcycle Riders","year":2023,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Transportation Systems and Logistics","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":"Transport Canada","funders":"","keywords":"Transport engineering; Hobby; Engineering; Accident (philosophy); Table (database); Aeronautics; Computer science","score_opus":0.008182733529627773,"score_gpt":0.21337482765930307,"score_spread":0.2051920941296753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317749212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962567,0.00032892663,0.0010125627,0.00002472954,0.000023005798,0.000038006874,0.0007372766,0.00005168905,0.0015270107],"genre_scores_gemma":[0.99425524,0.00038822554,0.0012030189,0.00001646735,0.000022357719,0.000032324508,0.0014811836,0.000021917711,0.0025792653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99714655,0.0004905094,0.00048500614,0.0003607974,0.001299316,0.00021781049],"domain_scores_gemma":[0.9890581,0.0023788312,0.0039536026,0.00059266214,0.0036427611,0.0003740562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000981775,0.0005393182,0.0003248577,0.0054221484,0.00040522462,0.00065876084,0.00039942778,0.00043166918,0.0018346886],"category_scores_gemma":[0.010359862,0.00015065559,0.00038555896,0.001802401,0.00029943502,0.00048474074,0.00082732475,0.00024159117,0.00079211476],"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":[0.00030811157,0.00007607308,0.9388167,0.00015447132,0.000121203484,0.0007362042,0.0020759385,0.0009088655,0.0013430637,0.00009061937,0.000670024,0.05469869],"study_design_scores_gemma":[0.0000037564153,0.0002420751,0.988427,0.00005563173,0.000078127116,0.0014007087,0.003062462,0.0014115903,0.0019014959,0.00007173991,0.0033113423,0.00003395628],"about_ca_topic_score_codex":0.0038440991,"about_ca_topic_score_gemma":0.0042702067,"teacher_disagreement_score":0.0054221484,"about_ca_system_score_codex":0.00036619033,"about_ca_system_score_gemma":0.00044183925,"threshold_uncertainty_score":0.007643461},"labels":[],"label_agreement":null},{"id":"W4317905753","doi":"10.3311/pptr.20228","title":"Social Perception of Autonomous Vehicles","year":2023,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"Hungarian Scientific Research Fund","keywords":"Perception; Intervention (counseling); Applied psychology; Mode (computer interface); Transport engineering; Psychology; Business; Field (mathematics); Engineering; Marketing; Computer science; Human–computer interaction","score_opus":0.020220094467445042,"score_gpt":0.31467151139897237,"score_spread":0.2944514169315273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317905753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994173,0.0001229478,0.00027239544,0.00018179449,0.00001173352,0.00000562068,0.000012353067,0.0000023514444,0.0052177315],"genre_scores_gemma":[0.9997099,0.00004528161,0.000023152608,0.000023243225,0.000004381022,0.0000014552932,0.000005790079,6.1567476e-7,0.00018616325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891853,0.0006188088,0.000033659988,0.00008136063,0.00025117642,0.00009643661],"domain_scores_gemma":[0.99691296,0.0010867454,0.00084193377,0.000084424006,0.0005518504,0.00052198843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090654846,0.00015983052,0.00012388823,0.000629004,0.00066005636,0.0013235587,0.00015555785,0.0004093887,0.001781316],"category_scores_gemma":[0.0037932086,0.00006531068,0.00013462025,0.00018847155,0.0009944172,0.0006843503,0.00078165834,0.00033262838,0.00013421125],"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":[0.00033687422,0.00027666395,0.6601975,0.00021797913,0.00015022533,0.0009396608,0.26777983,0.0007190081,0.009994799,0.006307829,0.0016160151,0.051463626],"study_design_scores_gemma":[0.000012112604,0.0004865566,0.64937854,0.00007168303,0.000047943024,0.00054134143,0.33425355,0.001305384,0.00070376956,0.0016969785,0.011443779,0.000058441852],"about_ca_topic_score_codex":0.0031571996,"about_ca_topic_score_gemma":0.002103398,"teacher_disagreement_score":0.0031571996,"about_ca_system_score_codex":0.00047666716,"about_ca_system_score_gemma":0.0001847849,"threshold_uncertainty_score":0.006277621},"labels":[],"label_agreement":null},{"id":"W4318195878","doi":"10.3311/pptr.18018","title":"Improving Traffic Flow in Emerging Cities: A SIDRA Intersection Based Traffic Signal Design","year":2023,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Traffic Prediction and Management Techniques","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":"Transport Canada","funders":"","keywords":"Intersection (aeronautics); Traffic flow (computer networking); Computer science; SIGNAL (programming language); Level of service; Transport engineering; Signal timing; Real-time computing; Engineering; Traffic signal; Computer network","score_opus":0.00908522767404067,"score_gpt":0.19827720340625882,"score_spread":0.18919197573221816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318195878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6130399,0.00047013815,0.36593863,0.00026402596,0.000080458696,0.00066805485,0.00013754684,0.0011177302,0.018283518],"genre_scores_gemma":[0.8730912,0.00033288827,0.123007715,0.000034621553,0.000012233965,0.0002427655,0.00015188009,0.00003611654,0.0030905847],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996183,0.00012360011,0.00003111017,0.00007197178,0.00008899524,0.0000659686],"domain_scores_gemma":[0.99974114,0.0000330058,0.000039869246,0.000014233453,0.00014014902,0.000031554453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055436656,0.00063942384,0.00036734223,0.0010323245,0.0005423302,0.0011135733,0.0007916349,0.00036663358,0.0016601195],"category_scores_gemma":[0.00054444984,0.00026986763,0.00029374982,0.0006351982,0.00025311124,0.00061554636,0.00075570296,0.00039100868,0.00030820552],"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":[0.0017982294,0.0017926439,0.047937285,0.00059662125,0.00011288109,0.0006610291,0.0010640845,0.21093719,0.12302046,0.01836045,0.0026250712,0.59109414],"study_design_scores_gemma":[0.0002629173,0.0052994215,0.032109942,0.00015696038,0.00033863532,0.00065946765,0.0018700906,0.8767728,0.05913103,0.002827845,0.02044024,0.00013067313],"about_ca_topic_score_codex":0.0023176465,"about_ca_topic_score_gemma":0.005254057,"teacher_disagreement_score":0.0023176465,"about_ca_system_score_codex":0.0005775556,"about_ca_system_score_gemma":0.0013372788,"threshold_uncertainty_score":0.005553603},"labels":[],"label_agreement":null},{"id":"W4319438723","doi":"10.3311/pptr.20996","title":"Test Environments to Analyse Methodological Improvements of Cost-benefit Analysis for Transport Interventions","year":2023,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Transportation Planning and Optimization","field":"Social Sciences","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":"Transport Canada","funders":"European Social Fund; Magyarország Kormánya; Hungarian Scientific Research Fund","keywords":"Psychological intervention; Risk analysis (engineering); Test (biology); Cost–benefit analysis; Computer science; Operations research; Transport policy; Environmental economics; Management science; Econometrics; Economics; Business; Transport engineering; Engineering; Psychology; Political science","score_opus":0.07220674434002061,"score_gpt":0.35563581901603747,"score_spread":0.28342907467601686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319438723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16310586,0.0018326584,0.7999775,0.0018199537,0.00037901456,0.008415846,0.0032440175,0.0012343852,0.01999082],"genre_scores_gemma":[0.3737104,0.00074013206,0.60833937,0.00028203838,0.00007900134,0.014130238,0.0013658275,0.00023504093,0.0011179841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.8722831,0.11754519,0.0033983532,0.0018177691,0.0036975844,0.0012580565],"domain_scores_gemma":[0.5317177,0.43846786,0.009474391,0.012968127,0.006657636,0.0007143769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08990491,0.0023435615,0.0014427657,0.0027255933,0.00094862486,0.002654507,0.0030045803,0.0021032698,0.007467433],"category_scores_gemma":[0.2277397,0.0011619976,0.0039041557,0.0023246142,0.0019620042,0.0021322242,0.0041407757,0.004025385,0.0006228318],"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":[0.004070069,0.0036530553,0.013445157,0.0042211297,0.0019308939,0.00083339383,0.0011416114,0.7074573,0.003057909,0.1776714,0.0067691705,0.075748876],"study_design_scores_gemma":[0.0036280872,0.00904065,0.00834334,0.0014925717,0.0009442119,0.0003836258,0.0012300172,0.8264001,0.008226139,0.12166738,0.018377492,0.00026638992],"about_ca_topic_score_codex":0.002219207,"about_ca_topic_score_gemma":0.0019013925,"teacher_disagreement_score":0.08990491,"about_ca_system_score_codex":0.0028085636,"about_ca_system_score_gemma":0.002996955,"threshold_uncertainty_score":0.47546828},"labels":[],"label_agreement":null},{"id":"W4327597850","doi":"10.3311/pptr.20765","title":"Long Term, Pre, and Post Impacts of SARS-CoV-2 Pandemic on Road Traffic Crashes in the Case of Budapest, Hungary","year":2023,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Traffic and Road Safety","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":"Transport Canada","funders":"Hungarian Scientific Research Fund","keywords":"Pandemic; Road traffic; Coronavirus disease 2019 (COVID-19); Poison control; Transport engineering; Environmental health; Medicine; Engineering; Infectious disease (medical specialty)","score_opus":0.012178377179879558,"score_gpt":0.2442797635785515,"score_spread":0.23210138639867195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327597850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969398,0.0007555667,0.000101003105,0.00011078665,0.000029649273,0.000012130867,0.00076392974,0.0000036218546,0.001283674],"genre_scores_gemma":[0.9982084,0.00051099,0.00004527228,0.000029560297,0.00002484353,0.000006029141,0.00078424904,0.0000022574977,0.00038843218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996269,0.000046933306,0.000044392018,0.00007741493,0.000075546355,0.00012873634],"domain_scores_gemma":[0.999607,0.00005197458,0.00012353213,0.000027767504,0.00011529821,0.0000743779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027054,0.0002291538,0.0003316221,0.0010817678,0.00031128668,0.00083998684,0.00036594673,0.00037860125,0.0015743738],"category_scores_gemma":[0.0006452211,0.00016478787,0.0006187915,0.00081690465,0.00031873773,0.0003625899,0.00059142476,0.00040790078,0.00025182992],"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":[0.00027064537,0.00008816425,0.9806214,0.000089632274,0.00018875345,0.0057755383,0.00076225406,0.0010555927,0.00049875386,0.00018681558,0.0011033404,0.009359161],"study_design_scores_gemma":[0.0000017923603,0.00004507573,0.9973574,0.000014778261,0.000025420763,0.00054764043,0.0011035686,0.00019080343,0.00007318202,0.000027445903,0.00060630124,0.000006641509],"about_ca_topic_score_codex":0.037141696,"about_ca_topic_score_gemma":0.03800639,"teacher_disagreement_score":0.037141696,"about_ca_system_score_codex":0.0010904049,"about_ca_system_score_gemma":0.0007299383,"threshold_uncertainty_score":0.07385099},"labels":[],"label_agreement":null},{"id":"W4372279159","doi":"10.3311/pptr.21926","title":"Dynamic Viscosity Prediction of Blends of Paving Grade Bitumen with Reclaimed Bitumen","year":2023,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Asphalt Pavement Performance Evaluation","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":"Transport Canada","funders":"Széchenyi István Egyetem; Budapesti Műszaki és Gazdaságtudományi Egyetem","keywords":"Asphalt; Softening point; Dynamic shear rheometer; Penetration test; Materials science; Penetration (warfare); Asphalt pavement; Rheology; Composite material; Rheometer; Sweep frequency response analysis; Rut; Environmental science; Geotechnical engineering; Engineering","score_opus":0.009305891643042815,"score_gpt":0.21273453441541612,"score_spread":0.2034286427723733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372279159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993632,0.0006608775,0.0050635654,0.000009507827,0.000010521866,0.000011596713,0.00009410568,0.000077761855,0.00043999922],"genre_scores_gemma":[0.9972778,0.00031370303,0.0018725207,0.0000022763386,0.0000025854931,0.0000050003932,0.00015061903,0.000012062865,0.00036339764],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957424,0.000047042682,0.000034522847,0.000081601764,0.00021282272,0.000049744536],"domain_scores_gemma":[0.9996389,0.00011158158,0.00012134681,0.000019876654,0.00008227839,0.000026045644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003204064,0.0005625348,0.00036256088,0.0014302887,0.0000990415,0.00047719473,0.00029404153,0.00035076914,0.0003624736],"category_scores_gemma":[0.0009177576,0.00020586936,0.00041913596,0.00070180144,0.0001466982,0.00039690727,0.00025250672,0.00026709217,0.00022833985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000680512,0.00020167539,0.04262668,0.00018050155,0.00008149417,0.00022958455,0.00007480915,0.01761049,0.89990515,0.00013478764,0.000100314035,0.038173847],"study_design_scores_gemma":[0.000011644724,0.00079504534,0.076689094,0.000019521114,0.00009336168,0.000239647,0.00008713493,0.09723743,0.82384104,0.000064619555,0.0008852808,0.00003611496],"about_ca_topic_score_codex":0.0019033535,"about_ca_topic_score_gemma":0.0017427024,"teacher_disagreement_score":0.0019033535,"about_ca_system_score_codex":0.00032420983,"about_ca_system_score_gemma":0.00013212673,"threshold_uncertainty_score":0.0037845373},"labels":[],"label_agreement":null},{"id":"W4404083072","doi":"10.3311/pptr.37963","title":"Analysis of Children's Road Crashes in Hungary","year":2024,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","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":"Transport Canada","funders":"","keywords":"Transport engineering; Engineering; Forensic engineering","score_opus":0.007487260811282517,"score_gpt":0.2435409473700481,"score_spread":0.2360536865587656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404083072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99676406,0.000356857,0.00014113657,0.000032314354,0.000006075986,0.00003545029,0.0020178705,0.0000056194217,0.0006406178],"genre_scores_gemma":[0.9968832,0.0005249476,0.00019372781,0.00001816931,0.000006531122,0.000034156696,0.0020402381,0.0000034221139,0.0002956172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993481,0.00008210312,0.00013614143,0.00010568331,0.00016536357,0.00016257071],"domain_scores_gemma":[0.99931073,0.00008336965,0.00029241884,0.000023825196,0.00020809412,0.000081505204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044233105,0.0003455919,0.00048237888,0.0029661835,0.0004032583,0.00072942895,0.00044495452,0.00036552796,0.0021022044],"category_scores_gemma":[0.0010488214,0.00027293336,0.0008645205,0.0026183596,0.0003466663,0.00031374028,0.00079963316,0.0003518092,0.00027612658],"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":[0.00005231166,0.00003115259,0.9945821,0.00007960321,0.000054762684,0.0005767669,0.00054510054,0.00021062528,0.00010876121,0.00006323214,0.00023834036,0.0034572487],"study_design_scores_gemma":[0.0000010479359,0.000023323395,0.99763215,0.000013032904,0.000015361447,0.00025285225,0.0016477278,0.000086434164,0.000043919357,0.00001268256,0.00026820073,0.00000328983],"about_ca_topic_score_codex":0.05337517,"about_ca_topic_score_gemma":0.04509182,"teacher_disagreement_score":0.05337517,"about_ca_system_score_codex":0.001606778,"about_ca_system_score_gemma":0.0012445196,"threshold_uncertainty_score":0.10612899},"labels":[],"label_agreement":null},{"id":"W4404280216","doi":"10.3311/pptr.38266","title":"Analysis of Sustainable Efficiency of Freight Transport in Major European Economies: An Integrated Multi-Region Input-Output and DEA Approach","year":2024,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","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":"Transport Canada","funders":"","keywords":"Industrial organization; Business; Transport engineering; Economics; Economy; Engineering","score_opus":0.024418132845380136,"score_gpt":0.1982481397748245,"score_spread":0.17383000692944436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404280216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.725842,0.0011440492,0.2612202,0.00041747428,0.00002592147,0.00016884861,0.0032334256,0.00033105962,0.0076170983],"genre_scores_gemma":[0.9520295,0.00046215442,0.04471277,0.000024989835,0.000009429054,0.0001370394,0.001915387,0.000048938735,0.0006597871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998607,0.0007166345,0.000085754655,0.0002929945,0.00018002713,0.000117655654],"domain_scores_gemma":[0.99860805,0.0008752876,0.00020847759,0.00011953002,0.00015009876,0.000038607894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030424295,0.0011658125,0.0011642289,0.003026954,0.00031113363,0.001977392,0.00079240697,0.0008351468,0.0010403409],"category_scores_gemma":[0.0040070415,0.00060712826,0.0032671264,0.0036247615,0.00043710665,0.0017392037,0.0014244275,0.0008140198,0.00012982641],"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":[0.000025335554,0.000036893965,0.005377792,0.000043148884,0.00016711025,0.000039382714,0.000026759577,0.98646426,0.00028035307,0.0030925,0.00009819653,0.0043483577],"study_design_scores_gemma":[0.000008168183,0.000038703707,0.0054025142,0.000020327823,0.000060886454,0.000021186957,0.00010292218,0.98980635,0.0004953727,0.0032161528,0.0008096881,0.000017753337],"about_ca_topic_score_codex":0.023415644,"about_ca_topic_score_gemma":0.012102272,"teacher_disagreement_score":0.023415644,"about_ca_system_score_codex":0.0027513355,"about_ca_system_score_gemma":0.0014668545,"threshold_uncertainty_score":0.046558738},"labels":[],"label_agreement":null},{"id":"W4411179308","doi":"10.3311/pptr.38371","title":"Revenue Alterations of Shared Automated Mobility Services Integrated into Mobility as a Service","year":2025,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Service (business); Revenue; Business; Computer science; Telecommunications; Marketing; Finance","score_opus":0.004892756765113563,"score_gpt":0.23506124778468937,"score_spread":0.23016849101957582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411179308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88148546,0.0005124136,0.08197197,0.0009484753,0.00015155962,0.00022726208,0.00075943687,0.00032193863,0.03362153],"genre_scores_gemma":[0.9940095,0.00006160189,0.0041693253,0.000025749869,0.000016474307,0.000021489703,0.00020328867,0.0000275062,0.0014650875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953499,0.0016789177,0.00014957594,0.0004887982,0.0013876423,0.00094503904],"domain_scores_gemma":[0.9903628,0.0040383483,0.0017143588,0.0011633006,0.0021969723,0.00052420417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038389026,0.0005546424,0.00045074485,0.0014005916,0.00080721313,0.003180714,0.001511743,0.00066160946,0.0051831147],"category_scores_gemma":[0.018539842,0.00031342843,0.0013087883,0.0015616213,0.0009309229,0.0045926794,0.002644549,0.0016935179,0.00053379615],"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":[0.00092838804,0.0007453251,0.08536924,0.00021519001,0.00024256414,0.0018876524,0.0007939647,0.5316923,0.006684601,0.23993692,0.0050594355,0.12644443],"study_design_scores_gemma":[0.000042813997,0.00064492674,0.041767757,0.00009022517,0.00017157951,0.0005236241,0.0017175411,0.88775223,0.006996135,0.04654303,0.013632028,0.000118105505],"about_ca_topic_score_codex":0.009356544,"about_ca_topic_score_gemma":0.007061856,"teacher_disagreement_score":0.009356544,"about_ca_system_score_codex":0.0057067135,"about_ca_system_score_gemma":0.0027732684,"threshold_uncertainty_score":0.04140532},"labels":[],"label_agreement":null}]}