{"meta":{"query_hash":"5bdaae194589","filters":{"topic":"Railway Engineering and Dynamics"},"cohort_total":555,"direct_labels_cover":1,"predictions_cover":555,"exported":555,"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/5bdaae194589","api":"https://metacan.xera.ac/api/v1/cohort?topic=Railway+Engineering+and+Dynamics"},"results":[{"id":"W1487045973","doi":"10.1109/iembs.1993.979204","title":"An electromyographic study of unresisted trunk rotation with normal velocity among normal males","year":2005,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Trunk; Rotation (mathematics); Electromyography; Physical medicine and rehabilitation; Anatomy; Physics; Mathematics; Medicine; Geometry; Biology","score_opus":0.004046215567845015,"score_gpt":0.1880258297796638,"score_spread":0.1839796142118188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487045973","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":[0.97821903,0.000019441259,0.019862246,0.000003270307,0.00003095496,0.00017708367,0.0000030741926,0.0004333003,0.0012515786],"genre_scores_gemma":[0.9957145,0.0000056280473,0.0041170637,0.000002661213,0.000042574055,0.000019155015,0.000018433408,0.00003315533,0.000046865935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992403,0.000016092145,0.0002098223,0.00013068461,0.00017403305,0.00022906178],"domain_scores_gemma":[0.99962884,0.000016634514,0.000026623184,0.00020898058,0.000045505745,0.00007338483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008930236,0.00015524655,0.00016075051,0.00016966292,0.000039469985,0.000021725054,0.00011622489,0.000055506025,0.000023584678],"category_scores_gemma":[0.000002957422,0.00014057591,0.000028325601,0.0003416603,0.000023541537,0.0003057338,0.0000056762715,0.0001335229,0.0000018312413],"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":[0.000029248597,0.0001701167,0.07458318,0.000030826483,0.0000726011,0.0000023623843,0.0005058766,0.91991186,0.0018902629,0.00010187128,0.00000881744,0.0026929954],"study_design_scores_gemma":[0.000468493,0.00037811435,0.49607,0.000006970349,0.000022229451,0.0000028774778,0.00025682998,0.5015774,0.0010559162,0.0000015306088,0.000008777959,0.00015087075],"about_ca_topic_score_codex":0.000094529605,"about_ca_topic_score_gemma":0.0020733022,"teacher_disagreement_score":0.42148682,"about_ca_system_score_codex":0.000028800443,"about_ca_system_score_gemma":0.0000088359075,"threshold_uncertainty_score":0.57325196},"labels":[],"label_agreement":null},{"id":"W1506312708","doi":"","title":"Experimental studies on the in-plane vibrations and sound radiation in an annular thick disk","year":2009,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Vibration; Normal mode; Boundary value problem; Rayleigh–Ritz method; Plane (geometry); Rayleigh scattering; Boundary (topology); Acoustics; Point (geometry); Mode (computer interface); Geometry; Optics; Physics; Mechanics; Mathematical analysis; Mathematics","score_opus":0.011578337881995904,"score_gpt":0.22855246105924484,"score_spread":0.21697412317724893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506312708","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":[0.9977875,0.0006801065,0.00077543675,0.00016586516,0.00017209702,0.00009359856,0.00003353508,0.00003762175,0.000254239],"genre_scores_gemma":[0.99952644,0.000061480496,0.00014560268,0.00017314176,0.000047399848,0.0000057843563,0.000019965059,0.000010926965,0.000009255738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960464,0.000009507446,0.00010085951,0.000078154764,0.000047121983,0.0001597054],"domain_scores_gemma":[0.99974537,0.000041199957,0.00000662184,0.00010791886,0.0000076046394,0.000091280715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064236156,0.000085911044,0.000076874545,0.00012836537,0.00004692071,0.000034390585,0.00005069098,0.000048892998,0.0000024074122],"category_scores_gemma":[0.00003807949,0.000078876656,0.000006446581,0.0001110342,0.00001916006,0.00006669124,0.0000020300406,0.00013078874,0.0000023009752],"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":[0.0000011647649,0.000008887004,0.00071678,0.000006447186,0.000005547149,0.000020282767,0.0022185026,0.9891836,0.0039576134,0.003206132,0.00020259956,0.00047245194],"study_design_scores_gemma":[0.00017931858,0.00007899896,0.06841283,0.000023011315,0.000005700892,0.0000042610636,0.0019882633,0.9280146,0.00023325146,0.00081197126,0.000058794794,0.00018901285],"about_ca_topic_score_codex":0.00028452367,"about_ca_topic_score_gemma":0.0075807828,"teacher_disagreement_score":0.06769605,"about_ca_system_score_codex":0.00021005808,"about_ca_system_score_gemma":0.000021425012,"threshold_uncertainty_score":0.42302546},"labels":[],"label_agreement":null},{"id":"W1515180181","doi":"","title":"Rider influence on modal properties of bicycle frames","year":2000,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"U.S. Environmental Protection Agency","keywords":"Modal; Modal analysis; Structural engineering; Plane (geometry); Engineering; Boundary (topology); Materials science; Mathematics; Finite element method; Mathematical analysis; Geometry","score_opus":0.004870452716757267,"score_gpt":0.15919022444097244,"score_spread":0.15431977172421518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515180181","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":[0.9946713,0.0001587004,0.0005576806,0.000025829433,0.00012933637,0.000055001903,0.00006705872,0.00011764142,0.0042174896],"genre_scores_gemma":[0.9989202,0.00004981711,0.0004316343,0.00008862678,0.00004526699,0.00000401407,0.0000032219232,0.000031629515,0.00042559757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947023,0.0000028370985,0.00012148585,0.00007858185,0.00008204984,0.00024480245],"domain_scores_gemma":[0.9995875,0.000010836024,0.0000063373727,0.00018684684,0.000025127922,0.00018337887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023819679,0.00010730451,0.000106062274,0.00009903258,0.000028287219,0.000015803322,0.0001109902,0.00008126064,0.00006796526],"category_scores_gemma":[0.000027637987,0.00010888276,0.000023166473,0.000112390015,0.00003683929,0.000043060158,0.0000023167745,0.00013311105,0.0000650342],"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":[0.0000014534426,0.0000028622342,0.00010495893,0.000047157973,0.000010489663,0.0000065082677,0.00011090918,0.9876542,0.008076449,0.000070182155,0.00047586762,0.0034389289],"study_design_scores_gemma":[0.00010136023,0.000029018813,0.016537484,0.00009652499,0.000012884515,0.0000050114213,0.000033733188,0.979588,0.0013442207,0.00007200341,0.0019379992,0.00024178368],"about_ca_topic_score_codex":0.003186159,"about_ca_topic_score_gemma":0.00081719743,"teacher_disagreement_score":0.016432526,"about_ca_system_score_codex":0.00009944494,"about_ca_system_score_gemma":0.00006742298,"threshold_uncertainty_score":0.48165405},"labels":[],"label_agreement":null},{"id":"W1528190934","doi":"","title":"Vibration d'un train lorsque le sol est gelé","year":2011,"lang":"fr","type":"article","venue":"Canadian acoustics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Vibration; Structural engineering; Computer science; Acoustics; Materials science; Engineering; Physics","score_opus":0.010498456835835585,"score_gpt":0.16438307996554033,"score_spread":0.15388462312970475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528190934","genre_codex":"methods","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":[0.041474078,0.0022385756,0.91296947,0.0007277368,0.005922539,0.00028465418,0.0009518438,0.0003334057,0.035097692],"genre_scores_gemma":[0.9518903,0.0002470278,0.04276184,0.00021063848,0.00063441,0.000013053213,0.00010434251,0.0001574637,0.0039809123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985248,0.000022464941,0.00029891627,0.0002387947,0.00011241673,0.0008026507],"domain_scores_gemma":[0.99861264,0.000036140635,0.00003316445,0.0003693058,0.00006567799,0.00088309747],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013270689,0.00031208264,0.00022659151,0.00023534504,0.00013909524,0.00007241962,0.00023593835,0.00042329155,0.00039452204],"category_scores_gemma":[0.000082698185,0.0004352296,0.000081399485,0.00020341584,0.0000847849,0.00019198796,0.000012941014,0.000433467,0.00030037438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040103005,0.00005138671,0.000115671945,0.00038962692,0.00014782824,0.00047772418,0.0049090274,0.90524197,0.0057114726,0.037035234,0.013686646,0.03222941],"study_design_scores_gemma":[0.0002989835,0.00005657353,0.007506959,0.000093392955,0.00010078095,0.00006945048,0.00035113902,0.9768879,0.000472911,0.0013801046,0.012118844,0.0006629538],"about_ca_topic_score_codex":0.10379314,"about_ca_topic_score_gemma":0.07614565,"teacher_disagreement_score":0.91041625,"about_ca_system_score_codex":0.000598013,"about_ca_system_score_gemma":0.0007249751,"threshold_uncertainty_score":0.9998099},"labels":[],"label_agreement":null},{"id":"W1578449866","doi":"","title":"WEATHERING THE STORM","year":2004,"lang":"en","type":"article","venue":"Railway age","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"National weather service; Service (business); Storm; Warning system; Track (disk drive); Extreme weather; Event (particle physics); Service provider; Transport engineering; Business; Meteorology; Engineering; Telecommunications; Climate change; Geography","score_opus":0.006469460742385321,"score_gpt":0.1846978562459195,"score_spread":0.17822839550353417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1578449866","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":[0.8849248,0.00083103665,0.08723859,0.00017909262,0.001104481,0.00015427615,0.000010004317,0.0015883271,0.023969337],"genre_scores_gemma":[0.99804574,0.000063132225,0.0012444502,0.000037634683,0.00016343157,0.000013373711,0.0000041601684,0.000046592388,0.00038147104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944836,0.0000037392422,0.00010862583,0.0000943272,0.00010562416,0.00023930245],"domain_scores_gemma":[0.99964076,0.00001940515,0.0000079693955,0.00027264157,0.000007068202,0.00005216178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087500484,0.00013035774,0.00009723764,0.000034593322,0.000065451066,0.00003974738,0.00018426137,0.000053441363,0.000020803212],"category_scores_gemma":[0.000011352057,0.00009862818,0.000056730536,0.00013222365,0.000025087294,0.0000652234,0.000017733286,0.00018840386,0.0001412894],"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":[0.000001051456,0.000006764707,0.000029647459,0.00002184747,0.00002450981,0.000030176596,0.001072455,0.9880862,0.003548572,0.004151429,0.00021775982,0.002809536],"study_design_scores_gemma":[0.0044638948,0.00023082158,0.031531166,0.00043374594,0.00013848701,0.0003075993,0.0016982104,0.3771053,0.01902657,0.013215969,0.54843426,0.003414007],"about_ca_topic_score_codex":0.000016114858,"about_ca_topic_score_gemma":0.000043230244,"teacher_disagreement_score":0.610981,"about_ca_system_score_codex":0.00008704069,"about_ca_system_score_gemma":0.000007610819,"threshold_uncertainty_score":0.40219405},"labels":[],"label_agreement":null},{"id":"W1594528280","doi":"10.1002/nag.1135","title":"Analytical solutions for Euler–Bernoulli beam on visco‐elastic foundation subjected to moving load","year":2012,"lang":"en","type":"article","venue":"International Journal for Numerical and Analytical Methods in Geomechanics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Deflection (physics); Bending moment; Moving load; Beam (structure); Bending stiffness; Shear and moment diagram; Structural engineering; Mechanics; Shear force; Bernoulli's principle; Conjugate beam method; Materials science; Geotechnical engineering; Engineering; Physics; Classical mechanics; Finite element method","score_opus":0.03475280049339044,"score_gpt":0.3554914766740497,"score_spread":0.3207386761806592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594528280","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012510619,0.00009380229,0.9834607,0.0005123503,0.0029864106,0.00018930377,0.00004311177,0.00007966633,0.00012399002],"genre_scores_gemma":[0.6928753,0.00011803877,0.30467242,0.00028596717,0.0015923013,0.00009035175,0.000042005388,0.00009868619,0.00022489826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982235,0.000042273175,0.00052338943,0.0002153148,0.0003504027,0.00064511935],"domain_scores_gemma":[0.9979051,0.0012894626,0.000051501254,0.000107737964,0.000240476,0.00040574613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012261978,0.00023042838,0.00032776114,0.00035465698,0.00012218415,0.000133833,0.00022890809,0.00013904416,0.00003119672],"category_scores_gemma":[0.0023810249,0.00021406125,0.00018240394,0.00030366227,0.000019045836,0.00019555679,0.000062322324,0.00039656306,0.000012048258],"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":[0.0003342469,0.00037854127,0.0002021887,0.00007229379,0.00047591949,0.000008127909,0.00024043815,0.696861,0.0028153756,0.13620986,0.0006746444,0.16172734],"study_design_scores_gemma":[0.0005263535,0.00019496374,0.00023157326,0.00006924187,0.00005895282,0.00005272852,0.000045160537,0.9814175,0.000149876,0.00694574,0.010045524,0.0002624168],"about_ca_topic_score_codex":0.000004008092,"about_ca_topic_score_gemma":0.0000015535272,"teacher_disagreement_score":0.6803647,"about_ca_system_score_codex":0.00047192298,"about_ca_system_score_gemma":0.000035686153,"threshold_uncertainty_score":0.87291646},"labels":[],"label_agreement":null},{"id":"W165070648","doi":"","title":"Analysis of a Three-Dimensional Railway Vehicle-Track System and Development of a Smart Wheelset","year":2012,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"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":"Concordia University","keywords":"Deflection (physics); Moving load; Structural engineering; Bending moment; Stiffness; Bending stiffness; Engineering; Track (disk drive); Shear force; Beam (structure); Timoshenko beam theory; Structural load; Finite element method; Mechanical engineering; Physics","score_opus":0.01513857028611401,"score_gpt":0.22935813138569036,"score_spread":0.21421956109957635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W165070648","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":[0.9878725,0.00043549426,0.0003261657,0.0000021704122,0.0004298284,0.00022594577,0.00006004845,0.00012111607,0.010526746],"genre_scores_gemma":[0.9973093,0.00002399335,0.00017451345,1.3174969e-7,0.000047221434,0.0000029680148,0.00019808894,0.000048182916,0.0021955506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979862,0.000103080645,0.00043705196,0.00033940913,0.0006470771,0.0004871895],"domain_scores_gemma":[0.9987878,0.00019589988,0.00013715042,0.00041141556,0.00023021465,0.00023749363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052634295,0.0002829391,0.00070324383,0.00232773,0.00016531332,0.00002378354,0.00031841182,0.00033410868,0.000013450363],"category_scores_gemma":[0.000017682401,0.000327399,0.00018839643,0.0014808634,0.00010226756,0.00013454519,0.00007079823,0.0005736288,0.0000044763433],"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":[0.0025090522,0.0006704067,0.5921896,0.023442484,0.03989819,0.0009546543,0.00943286,0.15059961,0.16064619,0.0065083727,0.00061258563,0.012535993],"study_design_scores_gemma":[0.0008455611,0.00018138486,0.82830024,0.00082543277,0.0015207091,0.000014365386,0.00205305,0.12955792,0.03321817,0.00000918295,0.0025421774,0.00093180145],"about_ca_topic_score_codex":0.0011022858,"about_ca_topic_score_gemma":0.012362586,"teacher_disagreement_score":0.23611064,"about_ca_system_score_codex":0.00049772684,"about_ca_system_score_gemma":0.0003492572,"threshold_uncertainty_score":0.9999178},"labels":[],"label_agreement":null},{"id":"W170931844","doi":"","title":"AN UPDATE ON REVENUE SERVICE TESTS OF BAINITIC STEEL RAIL CROSSING DIAMONDS","year":2003,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Railway Engineering and Dynamics","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":"","keywords":"Engineering; Axle; Revenue; Service life; Service (business); Forensic engineering; Metallurgy; Structural engineering; Materials science; Mechanical engineering; Finance; Economy; Business","score_opus":0.007711037680061856,"score_gpt":0.2236104186594622,"score_spread":0.21589938097940037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W170931844","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":[0.9967836,0.000606533,0.0006187408,0.0000177583,0.0002964025,0.00007838249,0.000113258444,0.00015550829,0.0013297842],"genre_scores_gemma":[0.9975566,0.000059112932,0.0021186725,0.00008748837,0.00005656002,0.000003916215,0.00002151969,0.000050684263,0.000045445293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991141,0.0000305955,0.00023360636,0.00020359793,0.00014242645,0.000275665],"domain_scores_gemma":[0.9994308,0.00006700091,0.000033829136,0.00030115692,0.00003926605,0.00012795492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011093163,0.00023091701,0.00025274314,0.0000975866,0.00010752183,0.00009400898,0.00011937403,0.0001288663,0.000024094652],"category_scores_gemma":[0.00004104635,0.000219208,0.000041455194,0.00017826467,0.00005935281,0.00012934656,0.000006163001,0.00021554189,0.0000034306045],"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":[0.000048437276,0.00007341519,0.0030045772,0.0009567049,0.00014006591,0.000039942075,0.0038854256,0.86399883,0.078669675,0.022239828,0.0006062479,0.026336877],"study_design_scores_gemma":[0.005416413,0.00089889305,0.55036217,0.0007267491,0.00026417297,0.0003201388,0.00099875,0.28941998,0.07248457,0.033233304,0.042220253,0.0036546465],"about_ca_topic_score_codex":0.000008113006,"about_ca_topic_score_gemma":0.00003970402,"teacher_disagreement_score":0.5745788,"about_ca_system_score_codex":0.000018434099,"about_ca_system_score_gemma":0.000021279297,"threshold_uncertainty_score":0.89390427},"labels":[],"label_agreement":null},{"id":"W1851989303","doi":"10.1115/jrc2015-5654","title":"Combining Track Quality and Performance Measures to Assess Track Maintenance Requirements","year":2015,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":18,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; Transport Canada","keywords":"Track (disk drive); Serviceability (structure); Track geometry; Stiffness; Surface finish; Engineering; Reliability engineering; Computer science; Structural engineering; Mechanical engineering","score_opus":0.1067735911734926,"score_gpt":0.29839625202545716,"score_spread":0.19162266085196455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1851989303","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":[0.89985394,0.00008853737,0.08259134,0.000059473943,0.0003798592,0.00010294834,0.000005014524,0.00049874355,0.016420133],"genre_scores_gemma":[0.99321264,0.000033938002,0.005934888,0.00007297767,0.000035687855,0.000011801584,0.0000035460862,0.00002948858,0.0006650599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910337,0.000010484662,0.00023138111,0.00015997275,0.00021548322,0.00027931208],"domain_scores_gemma":[0.99947256,0.000025108327,0.0000145541635,0.0001986287,0.000063557,0.00022562282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047849683,0.00015090578,0.00018192182,0.000052770116,0.000030472216,0.00005146676,0.00011314738,0.000055286637,0.0000040368336],"category_scores_gemma":[0.000064288615,0.00014250109,0.000020492978,0.00012365187,0.000016068903,0.000201868,0.000022388278,0.00012138091,0.000028299573],"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":[0.00007314155,0.00006891794,0.031305797,0.00041603058,0.00010770205,0.00000974881,0.002266475,0.87666285,0.0067286897,0.005020486,0.005421277,0.0719189],"study_design_scores_gemma":[0.0014521638,0.00022996761,0.10988307,0.00016572532,0.000018791865,0.000022650747,0.00056576345,0.87348974,0.0038897805,0.00033505596,0.009034617,0.0009126474],"about_ca_topic_score_codex":0.000014741332,"about_ca_topic_score_gemma":0.000016037658,"teacher_disagreement_score":0.09335866,"about_ca_system_score_codex":0.00007384367,"about_ca_system_score_gemma":0.000010693869,"threshold_uncertainty_score":0.58110255},"labels":[],"label_agreement":null},{"id":"W1883447107","doi":"10.1139/cgj-2014-0462","title":"Experimental study on dynamic interference effect of two closely spaced machine foundations","year":2015,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Structural engineering; Damping ratio; Displacement (psychology); Vibration; Harmonic; Engineering; Amplitude; Range (aeronautics); Dynamic loading; Force dynamics; Excitation; Geotechnical engineering; Acoustics; Physics; Optics; Electrical engineering","score_opus":0.013418781993451761,"score_gpt":0.26768356132325,"score_spread":0.25426477932979824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1883447107","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":[0.968644,0.00022986176,0.028625676,0.00007587784,0.0006407507,0.00025023767,0.000027029377,0.0001557273,0.0013507949],"genre_scores_gemma":[0.9996746,0.000002596721,0.00017083355,0.000015333326,0.00005169205,0.0000099835615,0.000007358552,0.000034989775,0.000032620723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999123,0.0000482158,0.00025807877,0.000117035735,0.00015850928,0.00029519008],"domain_scores_gemma":[0.99900275,0.000054352116,0.00003251126,0.0002243505,0.000043050404,0.00064299325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032370625,0.00017864181,0.00023218262,0.00028970477,0.00005595153,0.000052864212,0.00025212212,0.00007225135,0.00002135139],"category_scores_gemma":[0.00008600966,0.00016313158,0.000072127106,0.00018006668,0.000034213735,0.000077353354,0.000017285729,0.0005613719,0.000024266696],"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":[0.000044098077,0.00010387462,0.00067038514,0.000014887263,0.00010609227,0.00015265004,0.00035172873,0.9924572,0.0028097162,0.00028939568,0.00072968716,0.002270284],"study_design_scores_gemma":[0.0022633034,0.003181114,0.0011694968,0.00009202036,0.000044819506,0.0002752258,0.00021141183,0.99016577,0.0013192231,0.00019473965,0.000702792,0.00038009495],"about_ca_topic_score_codex":0.0011594081,"about_ca_topic_score_gemma":0.00201938,"teacher_disagreement_score":0.031030549,"about_ca_system_score_codex":0.00063159096,"about_ca_system_score_gemma":0.00011365276,"threshold_uncertainty_score":0.6652313},"labels":[],"label_agreement":null},{"id":"W1884014216","doi":"10.1139/cgj-2013-0361","title":"Observed and predicted behaviour of rail ballast under monotonic loading capturing particle breakage","year":2014,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ballast; Breakage; Geotechnical engineering; Monotonic function; Nonlinear system; Shearing (physics); Mechanics; Constitutive equation; Stress path; Structural engineering; Shear (geology); Particle (ecology); Engineering; Materials science; Geology; Mathematics; Physics; Finite element method; Composite material; Mathematical analysis","score_opus":0.009239417884910523,"score_gpt":0.17622911838109168,"score_spread":0.16698970049618114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1884014216","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":[0.95611525,0.00022711323,0.042910986,0.00014752119,0.00020287845,0.0000662601,0.000030497764,0.00014744754,0.0001520431],"genre_scores_gemma":[0.9991693,0.00005463649,0.00058413163,0.000033030807,0.000086469816,0.000003058845,0.0000032079747,0.000040581104,0.000025581337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989604,0.000021262369,0.00031530194,0.00012447147,0.00013163562,0.00044693687],"domain_scores_gemma":[0.99899,0.00004843363,0.000036721434,0.00018206012,0.000041136496,0.00070166483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002574798,0.00015213471,0.00021200505,0.00012755457,0.00008445719,0.000061104765,0.00017164391,0.00016025809,0.000025650626],"category_scores_gemma":[0.00006486878,0.0001597899,0.00006343561,0.00014271509,0.000043968823,0.0001025252,0.000019611341,0.0004851983,0.0000029786622],"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":[0.00000298271,0.000008557668,0.0032528976,0.00003465297,0.000041692023,0.00002770215,0.00007435396,0.98757374,0.005682618,0.0005885415,0.00015316936,0.0025590821],"study_design_scores_gemma":[0.00046608158,0.000051271003,0.06786856,0.0001019413,0.000037735103,0.0002738374,0.000056512446,0.9290836,0.00089168124,0.00019865792,0.00073117344,0.00023894358],"about_ca_topic_score_codex":0.001227942,"about_ca_topic_score_gemma":0.003440424,"teacher_disagreement_score":0.06461567,"about_ca_system_score_codex":0.00019149772,"about_ca_system_score_gemma":0.00006859853,"threshold_uncertainty_score":0.6516043},"labels":[],"label_agreement":null},{"id":"W189726050","doi":"10.1533/9781845696788.2.669","title":"Managing the wheel–rail interface: the Canadian experience","year":2009,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Bogie; Third rail; Engineering; Interface (matter); Grinding; Automotive engineering; Transport engineering; Rail transit; Track (disk drive); Structural engineering; Mechanical engineering","score_opus":0.008407075165955976,"score_gpt":0.20178994347872914,"score_spread":0.19338286831277315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W189726050","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000042293766,0.003290545,0.00013256143,0.00032641567,0.0009460773,0.0003252492,0.000021844373,0.00030099985,0.994614],"genre_scores_gemma":[0.03663087,0.00029248037,0.00010094897,0.000363961,0.00034511863,0.00004003697,0.000009122571,0.00015367837,0.9620638],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986607,0.000010102543,0.00030510398,0.00026824366,0.0002611512,0.00049470464],"domain_scores_gemma":[0.9988189,0.00004732343,0.00004560225,0.0008756356,0.00003645121,0.00017612001],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017741551,0.00047323102,0.00029042535,0.00013091844,0.00030813532,0.00019257508,0.00078736537,0.0002577054,0.00007435096],"category_scores_gemma":[0.000008546397,0.00031749674,0.00016037874,0.000023179882,0.00014037357,0.00003897291,0.000050482056,0.0010009,0.00016369188],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.772719e-7,4.521605e-7,4.7095233e-7,0.000029476445,0.000059308673,0.000021668628,0.001552149,0.013775686,0.0000059627987,0.0038971324,0.00055736315,0.98009944],"study_design_scores_gemma":[0.000050327682,0.0000103224365,0.000012097446,0.0002139546,0.000036713936,0.000030296123,0.00004223997,0.013254936,0.000013124355,0.0027130945,0.98321646,0.0004064486],"about_ca_topic_score_codex":0.00013530227,"about_ca_topic_score_gemma":0.026778977,"teacher_disagreement_score":0.9826591,"about_ca_system_score_codex":0.00033153515,"about_ca_system_score_gemma":0.00007985112,"threshold_uncertainty_score":0.9999277},"labels":[],"label_agreement":null},{"id":"W1916711179","doi":"10.1139/cgj-2013-0271","title":"Deformational behavior of fouled railway ballast","year":2014,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Bulgarian National Science Fund; Southern Company","keywords":"Ballast; Fouling; Geotechnical engineering; Suction; Water content; Atterberg limits; Moisture; Materials science; Direct shear test; Environmental science; Composite material; Geology; Shear (geology); Engineering; Chemistry; Membrane","score_opus":0.005046997043964366,"score_gpt":0.18076194178552016,"score_spread":0.1757149447415558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1916711179","genre_codex":"methods","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":[0.42020345,0.000262125,0.56546235,0.0003922106,0.0017834033,0.00023351242,0.00012329542,0.00042570973,0.0111139165],"genre_scores_gemma":[0.9976761,0.000017127024,0.0020236478,0.000043612163,0.00015891013,0.0000050126223,0.000009777988,0.000025566449,0.000040251194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913573,0.000011801277,0.00030461923,0.00006373888,0.00016366225,0.00032043716],"domain_scores_gemma":[0.9992124,0.00003141152,0.0000318561,0.00014776913,0.00006315595,0.00051344285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024241282,0.000114013645,0.00015941336,0.00023204667,0.00006269411,0.000031612355,0.00021622765,0.00014027985,0.00011754182],"category_scores_gemma":[0.000072332696,0.00011353561,0.000090062866,0.0001362377,0.000036169764,0.000092579416,0.000008468667,0.0004140878,0.000029811097],"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":[0.0000025236684,0.000011001879,0.00044165805,0.000028502944,0.00002942282,0.000020450721,0.00003215195,0.96775657,0.0011909229,0.004293876,0.0029118229,0.023281103],"study_design_scores_gemma":[0.00044607595,0.00006747571,0.014541084,0.000056328412,0.000031687843,0.0006697594,0.000014950867,0.925964,0.00020386046,0.00050224527,0.057191137,0.00031138834],"about_ca_topic_score_codex":0.00026084928,"about_ca_topic_score_gemma":0.0008501119,"teacher_disagreement_score":0.5774726,"about_ca_system_score_codex":0.00018971562,"about_ca_system_score_gemma":0.00010318507,"threshold_uncertainty_score":0.46298477},"labels":[],"label_agreement":null},{"id":"W1924625020","doi":"10.1139/cgj-2013-0403","title":"Measurement of vertical and longitudinal rail displacements using digital image correlation","year":2014,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subgrade; Stiffness; Digital image correlation; Displacement (psychology); Track (disk drive); Vertical displacement; Structural engineering; Geotechnical engineering; Engineering; Geology; Mechanical engineering","score_opus":0.01052733044936434,"score_gpt":0.19709958450465515,"score_spread":0.1865722540552908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1924625020","genre_codex":"methods","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":[0.35173425,0.00014075739,0.64741343,0.000045571895,0.00025087755,0.0000502569,0.000010564757,0.000042824347,0.00031147705],"genre_scores_gemma":[0.99907976,0.0000116977235,0.00080091396,0.0000077331315,0.000072834264,6.6574944e-7,0.0000022768816,0.000020133239,0.000003968632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991624,0.00000983349,0.00024386255,0.000087334876,0.000226846,0.00026974003],"domain_scores_gemma":[0.99935305,0.000016913244,0.00001817615,0.00010257047,0.00007020949,0.0004390553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002544209,0.00011083711,0.00014433391,0.00013397062,0.000064131855,0.00007822714,0.000084372834,0.00009083656,0.000011470596],"category_scores_gemma":[0.00015021567,0.00011227896,0.000044169923,0.000086274464,0.000052027557,0.00016273577,0.000012083091,0.00028887822,0.0000038154476],"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":[0.000012750949,0.00001610595,0.005799586,0.00006531096,0.00007514286,0.000027850005,0.000028118571,0.9773896,0.0047805663,0.0005069207,0.00037379825,0.010924285],"study_design_scores_gemma":[0.0002764917,0.000041460036,0.01299237,0.0000899781,0.000024123334,0.00017898875,0.0000061521,0.9852271,0.00007388476,0.00013124957,0.0008224539,0.0001357307],"about_ca_topic_score_codex":0.00018325492,"about_ca_topic_score_gemma":0.00018408266,"teacher_disagreement_score":0.64734554,"about_ca_system_score_codex":0.00029248305,"about_ca_system_score_gemma":0.000064605294,"threshold_uncertainty_score":0.45786032},"labels":[],"label_agreement":null},{"id":"W1940134579","doi":"10.14359/14526","title":"\"The First use of UHPC Technology for an Innovative LRT Station Canopy Shawnessy, Calgery, Alberta\"","year":2005,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Environmental protection; Ancient history; History","score_opus":0.011217325014706927,"score_gpt":0.22130771545926636,"score_spread":0.21009039044455943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1940134579","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":[0.6259464,0.00009399606,0.3705069,0.00090920634,0.00034384718,0.0004140542,0.00006829702,0.00053903635,0.0011782243],"genre_scores_gemma":[0.9846657,0.000023747154,0.01431709,0.00002981981,0.000045544195,0.000064909334,0.000041389834,0.000037791844,0.0007740198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940974,0.000002486417,0.00022038036,0.00010272004,0.000063391904,0.00020130801],"domain_scores_gemma":[0.9994333,0.00016796254,0.000026603868,0.00021303676,0.00013308236,0.000026021065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006709723,0.00011170851,0.00011983041,0.00012291549,0.000060732124,0.00002260023,0.00011450848,0.00009794802,0.0000047134504],"category_scores_gemma":[0.000081993516,0.000090955764,0.000020286154,0.00038323045,0.000039334216,0.00017000452,0.00001147018,0.00008373077,0.000003851129],"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":[0.000020546224,0.00003491718,0.0012202128,0.000073531904,0.000079311685,2.9860334e-7,0.0005275226,0.9136399,0.003220956,0.043736264,0.004410079,0.03303646],"study_design_scores_gemma":[0.00020518615,0.000065142034,0.00055582705,0.000010825062,0.0000061667756,0.000002128303,0.00006172535,0.87102437,0.0075156637,0.00018328389,0.12021891,0.0001507909],"about_ca_topic_score_codex":0.00020429734,"about_ca_topic_score_gemma":0.005677832,"teacher_disagreement_score":0.35871926,"about_ca_system_score_codex":0.00006422129,"about_ca_system_score_gemma":0.000016727416,"threshold_uncertainty_score":0.37090683},"labels":[],"label_agreement":null},{"id":"W1955406828","doi":"","title":"Application of the Railway Noise Model for detailed noise analyses for the East Side Access (ESA) Project","year":2000,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Noise (video); Noise control; Transit (satellite); Computer science; Transport engineering; Telecommunications; Acoustics; Engineering; Noise reduction; Public transport; Physics","score_opus":0.029817487365080303,"score_gpt":0.2693638265555167,"score_spread":0.2395463391904364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1955406828","genre_codex":"methods","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":[0.053041585,0.00017162677,0.94356036,0.00013600367,0.00017750976,0.0012436159,0.0010747223,0.00008975919,0.000504805],"genre_scores_gemma":[0.9956034,0.00003453565,0.003105017,0.00008762194,0.000114134586,0.00033062507,0.000042170675,0.00005977893,0.0006227581],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921626,0.0000052541004,0.00021636666,0.0001403883,0.000096544034,0.00032521118],"domain_scores_gemma":[0.99919057,0.00012677461,0.000033791148,0.00044524492,0.00009219793,0.000111418034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009718997,0.00016102332,0.0001624517,0.00008976097,0.00014180479,0.000050043745,0.00047401778,0.000095305935,0.000004509803],"category_scores_gemma":[0.00007661866,0.00011652798,0.00011914904,0.00026791863,0.000043443913,0.000065142034,0.000009474408,0.00010388957,0.0000018548916],"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":[0.00000664451,0.000004285931,0.00005880862,0.0001012227,0.000044346412,1.3550527e-7,0.00012489986,0.9864865,0.0047043934,0.00007957466,0.0017550424,0.006634157],"study_design_scores_gemma":[0.00020333873,0.0000072628623,0.0012943465,0.000013833089,0.00014284748,0.0000013202693,0.00003468549,0.9963617,0.00021703453,0.00012306108,0.0014526111,0.00014799298],"about_ca_topic_score_codex":0.0014083387,"about_ca_topic_score_gemma":0.00997857,"teacher_disagreement_score":0.94256175,"about_ca_system_score_codex":0.000148997,"about_ca_system_score_gemma":0.00023259773,"threshold_uncertainty_score":0.5568276},"labels":[],"label_agreement":null},{"id":"W1970204500","doi":"10.1115/jrc2009-63042","title":"Unsafe Hunting of Freight Rail Cars","year":2009,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"National Research Council Canada","funders":"","keywords":"Truck; Track (disk drive); Transport engineering; Parametric statistics; Engineering; Automotive engineering; Mathematics","score_opus":0.004001766181362354,"score_gpt":0.17324180266983122,"score_spread":0.16924003648846886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970204500","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":[0.62889236,0.00039667028,0.121305294,0.000060066934,0.00043081734,0.000075229094,0.0000067915253,0.0010951454,0.24773763],"genre_scores_gemma":[0.9911976,0.000023331877,0.008281452,0.000013678607,0.000041406987,6.2356287e-7,0.0000034391733,0.000013541474,0.00042491747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995783,0.0000019742015,0.00013925452,0.00006250746,0.000072526745,0.00014543862],"domain_scores_gemma":[0.9997872,0.000015297855,0.00000915519,0.00013791087,0.000014336952,0.000036083176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004455789,0.00008232072,0.00011256181,0.00005689218,0.000010874729,0.0000070453607,0.00007609572,0.00004608693,0.00003661585],"category_scores_gemma":[0.0000083627765,0.00007983178,0.000040035426,0.0001166371,0.0000062749173,0.000048861635,0.0000042301226,0.00007246308,0.000013858988],"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":[0.0000013539833,0.000014578351,0.000975965,0.000043991593,0.000024913912,0.0000040373693,0.00015938762,0.94129646,0.021978322,0.012735904,0.00075311086,0.022011952],"study_design_scores_gemma":[0.00030942963,0.000048251226,0.017096313,0.000042463875,0.000013572712,0.000007108565,0.000048396465,0.9551225,0.022479458,0.0007618203,0.003776138,0.00029457113],"about_ca_topic_score_codex":0.0000096861395,"about_ca_topic_score_gemma":0.0000041348994,"teacher_disagreement_score":0.36230525,"about_ca_system_score_codex":0.000015042557,"about_ca_system_score_gemma":0.0000037421048,"threshold_uncertainty_score":0.32554457},"labels":[],"label_agreement":null},{"id":"W1973496524","doi":"10.1063/1.4716447","title":"Application of the time-shift technique with an indirect and semi-direct configuration of transducers for field investigation of concrete structures","year":2012,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Railway Engineering and Dynamics","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":"Université Laval; Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Icon; Citation; Computer science; Field (mathematics); Download; Filter (signal processing); Search engine optimization; Information retrieval; World Wide Web; Search engine; Programming language","score_opus":0.008041568277214691,"score_gpt":0.20239345949807055,"score_spread":0.19435189122085586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973496524","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":[0.8905711,0.000041401447,0.10863248,0.00002618657,0.000012926753,0.00038066437,0.000013308445,0.00004595181,0.00027594113],"genre_scores_gemma":[0.99676603,0.000010407655,0.0031359824,0.000005470837,0.000010456393,0.000052457173,0.0000062306717,0.000010340568,0.000002616759],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996527,0.000002952716,0.00013557344,0.00007001119,0.0000637519,0.00007501067],"domain_scores_gemma":[0.99972284,0.000039114017,0.000073208685,0.000051769563,0.00008274231,0.0000303022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011642421,0.00007855498,0.00013366708,0.00004085899,0.000015593207,0.0000065121526,0.000056023266,0.000072421535,0.0000010890275],"category_scores_gemma":[0.000022888009,0.000060907907,0.000012012592,0.00008059525,0.000076974145,0.00015204596,0.000004161928,0.000056187713,1.8849772e-8],"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":[0.000024571491,0.0000014701723,0.021006893,0.0005865593,0.000023822451,2.942447e-9,0.0037607686,0.0001660948,0.9666096,0.0060843243,0.000006702478,0.0017291922],"study_design_scores_gemma":[0.00014153747,0.00014877414,0.018701186,0.00008572793,0.000037484202,0.0000020020082,0.00013308485,0.11210335,0.867719,0.0008161165,0.000014589879,0.0000971237],"about_ca_topic_score_codex":0.000014389062,"about_ca_topic_score_gemma":0.000001244237,"teacher_disagreement_score":0.111937255,"about_ca_system_score_codex":0.0000065101635,"about_ca_system_score_gemma":0.00001302318,"threshold_uncertainty_score":0.24837524},"labels":[],"label_agreement":null},{"id":"W1973562926","doi":"10.1299/jmtl.3.206","title":"Ride Comfort Improvements in a High-Speed Train with Active Secondary Suspension","year":2010,"lang":"en","type":"article","venue":"Journal of Mechanical Systems for Transportation and Logistics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Automotive engineering; Suspension (topology); Active suspension; Track (disk drive); Engineering; Simulation; Mechanical engineering; Electrical engineering; Actuator","score_opus":0.008469499360128925,"score_gpt":0.21072333452056483,"score_spread":0.2022538351604359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973562926","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":[0.6939063,0.000029794344,0.3049906,0.000017052384,0.0007013638,0.00018972268,0.000120957426,0.000023862509,0.000020362637],"genre_scores_gemma":[0.9967793,0.0000456154,0.003011566,0.000008509373,0.00007760721,0.000004159114,0.000039322156,0.00002121772,0.000012687439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920374,0.0000067923206,0.00043589846,0.00007618008,0.00014118756,0.00013621275],"domain_scores_gemma":[0.9995835,0.000078174635,0.00010399142,0.000058017773,0.00008133675,0.000095019226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000260835,0.00011347728,0.00026448566,0.000085712236,0.000021470127,0.000018964593,0.00005758543,0.00011514859,0.0000031667169],"category_scores_gemma":[0.000021352918,0.000089955196,0.000039783426,0.00006647643,0.000015613403,0.000084830375,8.1486456e-7,0.0003483027,1.4540646e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011117504,0.00023098104,0.0010878947,0.001448575,0.0003525179,0.00020786922,0.0010020721,0.7962254,0.117256485,0.067008436,0.00017593855,0.013892071],"study_design_scores_gemma":[0.011630009,0.0018647539,0.02830333,0.00051893224,0.00027032243,0.0001805925,0.0012947983,0.94369525,0.0056263697,0.002844328,0.003004161,0.0007671548],"about_ca_topic_score_codex":0.000030390385,"about_ca_topic_score_gemma":0.0003069824,"teacher_disagreement_score":0.30287302,"about_ca_system_score_codex":0.000027776878,"about_ca_system_score_gemma":0.000024627136,"threshold_uncertainty_score":0.36682662},"labels":[],"label_agreement":null},{"id":"W1973587456","doi":"10.1016/j.wear.2004.03.033","title":"A numerical simulation of wheel wear","year":2004,"lang":"en","type":"article","venue":"Wear","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Flange; Automotive engineering; Computer simulation; Contact force; Reduction (mathematics); Materials science; Structural engineering; Computer science; Engineering; Simulation; Physics","score_opus":0.005516425822626075,"score_gpt":0.2005056763479515,"score_spread":0.19498925052532542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973587456","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":[0.53190875,0.000105947336,0.4653787,0.000022775572,0.00023245547,0.00005456016,0.000005484686,0.00037101656,0.0019203068],"genre_scores_gemma":[0.9967689,0.000009935526,0.003114833,0.000005051733,0.000042841257,0.0000014731996,0.0000029668906,0.000019392151,0.0000346185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996694,0.0000020784485,0.00009734981,0.000053561384,0.000077178396,0.00010046656],"domain_scores_gemma":[0.999829,0.000014452363,0.000007927183,0.00010615613,0.000009289489,0.000033161243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000027752792,0.000060008504,0.00008207484,0.0000370574,0.000008793698,0.00000502774,0.000045302073,0.000042978223,0.000013241251],"category_scores_gemma":[0.0000137476945,0.00006303384,0.000031433046,0.00009736707,0.0000079545025,0.00003950485,0.000004277569,0.000066467386,0.000051570987],"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":[0.0000014064354,0.00000737127,0.00004906564,0.000024703628,0.0000074548934,0.000001091208,0.00015555434,0.9945903,0.00443918,0.00037294146,0.000010513258,0.00034040978],"study_design_scores_gemma":[0.00019907624,0.000019335195,0.00086892775,0.000020250154,0.0000039588554,0.0000013118214,0.000013565102,0.99495363,0.0026559415,0.0002546183,0.0009288771,0.00008052456],"about_ca_topic_score_codex":0.000008994682,"about_ca_topic_score_gemma":6.347719e-7,"teacher_disagreement_score":0.46486014,"about_ca_system_score_codex":0.000030153775,"about_ca_system_score_gemma":0.000005949972,"threshold_uncertainty_score":0.25704455},"labels":[],"label_agreement":null},{"id":"W1975754266","doi":"10.1198/016214504000002104","title":"Are Maintenance Practices for Railroad Tracks Effective?","year":2005,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Covariate; Poisson distribution; Track (disk drive); Grinding; Computer science; Interval (graph theory); Statistics; Econometrics; Environmental science; Engineering; Mathematics; Mechanical engineering","score_opus":0.0057182700350403145,"score_gpt":0.25657613028866744,"score_spread":0.2508578602536271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975754266","genre_codex":"methods","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":[0.32744113,0.000121039666,0.6682603,0.002547087,0.000751502,0.00022241702,0.000175866,0.00006479846,0.00041589464],"genre_scores_gemma":[0.97618526,0.000037018843,0.02296291,0.00014086327,0.00041915107,0.000008252492,0.0000012839033,0.00002135268,0.00022387956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99922585,0.00005035573,0.00026307328,0.00005620042,0.00022396978,0.00018052384],"domain_scores_gemma":[0.99734646,0.0011355509,0.0012413212,0.00007361,0.00015061686,0.0000524697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044471872,0.00008803678,0.00023482385,0.000035833855,0.000043060634,0.00003446888,0.00012688426,0.000030018155,0.0000033831286],"category_scores_gemma":[0.00350689,0.00006332744,0.000094015195,0.00012708263,0.000024941473,0.00012720129,0.0000071525933,0.00024205893,0.0000047304175],"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":[0.00024004723,0.00017630382,0.020316,0.00013941608,0.00073754427,0.000009556462,0.00035931173,0.56892765,0.002865112,0.0022357944,0.10229953,0.30169374],"study_design_scores_gemma":[0.0009795725,0.00023694216,0.51314163,0.0000908454,0.00021937284,0.0000364204,0.00016539756,0.40676087,0.00034218916,0.001194088,0.07654884,0.00028386747],"about_ca_topic_score_codex":0.0000041455232,"about_ca_topic_score_gemma":0.000010730091,"teacher_disagreement_score":0.64874417,"about_ca_system_score_codex":0.0005003446,"about_ca_system_score_gemma":0.00001346449,"threshold_uncertainty_score":0.41983283},"labels":[],"label_agreement":null},{"id":"W1976018416","doi":"10.1016/j.wear.2004.03.061","title":"Railway noise and the effect of top of rail liquid friction modifiers: changes in sound and vibration spectral distributions in curves","year":2004,"lang":"en","type":"article","venue":"Wear","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Flange; Vibration; Materials science; Noise (video); Acoustics; Tread; Noise reduction; Friction modifier; Oscillation (cell signaling); Track (disk drive); Reduction (mathematics); Composite material; Engineering; Physics; Mechanical engineering; Mathematics; Computer science; Lubricant","score_opus":0.003878621449513858,"score_gpt":0.19178218000872974,"score_spread":0.18790355855921587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976018416","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":[0.9873192,0.00095711823,0.011312216,0.00012029146,0.00005073277,0.00014205693,0.000015626993,0.000024376714,0.00005843057],"genre_scores_gemma":[0.99926883,0.00059773104,0.00008868214,0.0000018984348,0.000015343523,0.000009450586,0.000009542886,0.0000064479877,0.0000020942243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996796,0.000018941102,0.00010928503,0.00006099231,0.00004844358,0.00008272917],"domain_scores_gemma":[0.99983346,0.00006076285,0.000015560729,0.00006990265,0.0000049901396,0.000015345571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001715126,0.0000659919,0.00013465753,0.00005507679,0.000011608814,0.0000059195436,0.000026723843,0.00004042311,0.0000011518192],"category_scores_gemma":[0.000040970957,0.000052517633,0.000014914073,0.00013720951,0.000045325778,0.00005784576,0.000007942672,0.00007984028,2.1980834e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031897923,0.000038267568,0.006893602,0.0013612056,0.00004713897,0.000003349476,0.0035943883,0.8818339,0.09696444,0.008162498,0.000013219606,0.0007689698],"study_design_scores_gemma":[0.01131833,0.0012629598,0.12626278,0.001316057,0.00009410274,0.000023382143,0.00039231929,0.57066953,0.28499964,0.003037917,0.00005519552,0.0005677799],"about_ca_topic_score_codex":0.00009046952,"about_ca_topic_score_gemma":0.00018613075,"teacher_disagreement_score":0.3111644,"about_ca_system_score_codex":0.000028238852,"about_ca_system_score_gemma":0.0000030824908,"threshold_uncertainty_score":0.2141607},"labels":[],"label_agreement":null},{"id":"W1976091902","doi":"10.1243/09544097jrrt250","title":"Analysis of pitch plane railway vehicle—track interactions due to single and multiple wheel flats","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ballast; Stiffness; Track (disk drive); Structural engineering; Bending stiffness; Contact force; Bending moment; Parametric statistics; Beam (structure); Train; Bending; Engineering; Physics; Mechanical engineering; Electrical engineering; Mathematics","score_opus":0.00872905594942861,"score_gpt":0.19638698263968568,"score_spread":0.18765792669025708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976091902","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":[0.9762261,0.0004468882,0.022312365,0.00038257585,0.0003251252,0.00010531842,0.000032531883,0.000030467112,0.00013862802],"genre_scores_gemma":[0.99749154,0.00024320853,0.0021790285,0.000015988726,0.000048597416,7.505468e-7,0.0000015927337,0.000010234558,0.000009073025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988277,0.0000047220124,0.00064057397,0.0001124844,0.0002568784,0.00015765263],"domain_scores_gemma":[0.9993356,0.00006830501,0.00016663776,0.00007426122,0.00021137956,0.00014381025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030326357,0.00016815406,0.00054679014,0.00038891204,0.0000400457,0.000014795677,0.00016919286,0.00009707211,0.0000055092632],"category_scores_gemma":[0.000118567295,0.00013172152,0.00020891734,0.0005724169,0.00005520735,0.00022462035,0.000012814164,0.00026421572,1.599497e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015766005,0.000127965,0.00012121578,0.00023609835,0.0007427704,0.0000022226004,0.0007718541,0.5240741,0.46502993,0.0015794785,0.000113110706,0.0070435978],"study_design_scores_gemma":[0.0025889932,0.0011362968,0.008137728,0.0011596598,0.0020463539,0.00024460192,0.000540765,0.6794985,0.30188006,0.00024937812,0.0019744057,0.0005432694],"about_ca_topic_score_codex":0.0000030344079,"about_ca_topic_score_gemma":0.000003310537,"teacher_disagreement_score":0.16314986,"about_ca_system_score_codex":0.00002913141,"about_ca_system_score_gemma":0.000013884468,"threshold_uncertainty_score":0.5371448},"labels":[],"label_agreement":null},{"id":"W1981613007","doi":"10.1121/1.1419091","title":"Polynomial relations for quasi-static mechanical characterization of isotropic poroelastic materials","year":2001,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Poromechanics; Isotropy; Stiffness; Biot number; Poisson's ratio; Modulus; Materials science; Polynomial; Compression (physics); Orthotropic material; Mathematical analysis; Elastic modulus; Poisson distribution; Aggregate modulus; Finite element method; Mathematics; Mechanics; Composite material; Physics; Dynamic modulus; Porous medium; Porosity; Optics; Thermodynamics; Statistics","score_opus":0.0071920993480768325,"score_gpt":0.2110922612587582,"score_spread":0.2039001619106814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981613007","genre_codex":"methods","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":[0.25569955,0.00001930856,0.7431518,0.0005914494,0.00037644655,0.00009510352,0.000042420812,0.000014624388,0.0000093039735],"genre_scores_gemma":[0.979454,0.0002579605,0.019968925,0.00006389363,0.00017833596,0.0000018631503,0.000003615945,0.000023485978,0.000047960126],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906504,0.00003874338,0.00050428044,0.00004300447,0.00019274968,0.00015616478],"domain_scores_gemma":[0.9990596,0.0003879046,0.00024988817,0.00016013256,0.000097955184,0.000044523993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002337198,0.00010289203,0.0002884048,0.000019128482,0.000058196365,0.000007760599,0.00025513212,0.00006468212,0.000030436528],"category_scores_gemma":[0.000172302,0.00006355351,0.0002068624,0.00015939657,0.000113921684,0.00006102515,0.000027348728,0.00016364268,0.0000013210299],"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":[0.00008468153,0.00007422354,0.000025519708,0.00011005225,0.00019218879,1.908567e-7,0.00036166768,0.29301947,0.70199454,0.000023140514,0.0024829756,0.0016313868],"study_design_scores_gemma":[0.00040279806,0.00026701018,0.0016501336,0.000085116306,0.00030185643,0.000034398738,0.00019303751,0.99045706,0.0056401407,0.00018947416,0.000683102,0.00009588648],"about_ca_topic_score_codex":0.000004631854,"about_ca_topic_score_gemma":1.1538692e-7,"teacher_disagreement_score":0.7237544,"about_ca_system_score_codex":0.00005470066,"about_ca_system_score_gemma":0.000031960546,"threshold_uncertainty_score":0.2591637},"labels":[],"label_agreement":null},{"id":"W1982978100","doi":"10.1139/l05-051","title":"A new transition curve with enhanced properties","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Acceleration; Curvature; Degree (music); Function (biology); Mathematics; Engineering; Mechanics; Structural engineering; Simulation; Geometry; Physics; Acoustics; Classical mechanics","score_opus":0.004430142003818359,"score_gpt":0.14535331534028478,"score_spread":0.14092317333646642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982978100","genre_codex":"methods","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":[0.10862851,0.002516901,0.88590133,0.00017174587,0.0005094481,0.00007857005,0.000006854868,0.00014737486,0.0020392912],"genre_scores_gemma":[0.99411714,0.000034364133,0.005244105,0.000016914786,0.00044399,0.0000018509951,0.0000014974725,0.000060186587,0.000079958714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921954,0.0000034542818,0.00025021468,0.000069299334,0.00012577263,0.00033172467],"domain_scores_gemma":[0.9992401,0.00001053358,0.000026885295,0.00010801024,0.00006335944,0.00055111066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000823388,0.00017712431,0.00020312458,0.00032121825,0.000027823131,0.00005385528,0.00013791597,0.000066392335,0.000065476306],"category_scores_gemma":[0.000016578033,0.00016181123,0.00006192513,0.0001975003,0.000010893785,0.00030714035,0.0000013560585,0.00028065595,0.0000073772803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038319176,0.0000013279999,0.000008566992,0.00004459698,0.00004775126,0.00002301383,0.0008388435,0.9920168,0.004032459,0.000055377546,0.00053833355,0.0023890813],"study_design_scores_gemma":[0.0011701476,0.00019607632,0.00060994277,0.0009095519,0.00007319985,0.0006469365,0.0001256993,0.94752526,0.01402843,0.00002251782,0.033913452,0.0007787599],"about_ca_topic_score_codex":0.00013605683,"about_ca_topic_score_gemma":0.03552635,"teacher_disagreement_score":0.8854886,"about_ca_system_score_codex":0.00021312664,"about_ca_system_score_gemma":0.00026137344,"threshold_uncertainty_score":0.9820728},"labels":[],"label_agreement":null},{"id":"W1983345263","doi":"10.3141/1863-07","title":"Canadian National Railway Experience with 136-lb Thick Web Rail Switch Points","year":2004,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"Canadian Pacific Railway (Canada)","funders":"","keywords":"Section (typography); Point (geometry); Engineering; Structural engineering; Advertising; Business; Geometry; Mathematics","score_opus":0.03419412963176048,"score_gpt":0.30718033350410784,"score_spread":0.27298620387234734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983345263","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":[0.9902895,0.00017117341,0.0041988986,0.0029802239,0.00054521527,0.00059175544,0.0001359945,0.00009220262,0.0009950168],"genre_scores_gemma":[0.99539196,0.00055209314,0.0032843256,0.000053481894,0.0001801578,0.000073118244,0.000029219822,0.000096081225,0.0003395424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99346113,0.00021710145,0.0009732116,0.0003393737,0.0038902746,0.001118908],"domain_scores_gemma":[0.99543685,0.00035177864,0.00013260651,0.00039075184,0.0029214157,0.00076662283],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002469658,0.0003101876,0.00037741527,0.0013679455,0.00053128175,0.00017101216,0.0010239489,0.00022674256,0.00019513092],"category_scores_gemma":[0.00012911827,0.00023942447,0.00022740591,0.0022953053,0.00038144254,0.00072058913,0.0000033922488,0.0025322554,0.000045105917],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008277586,0.00021601991,0.105856024,0.0004927496,0.00041738967,0.00053377036,0.011432494,0.85393673,0.007565221,0.01060224,0.0055350917,0.0025845056],"study_design_scores_gemma":[0.0054975697,0.00088569167,0.9355907,0.0012039783,0.000060503626,0.000012678135,0.00398699,0.007986709,0.0035137292,0.0068712034,0.03348147,0.0009088132],"about_ca_topic_score_codex":0.043756746,"about_ca_topic_score_gemma":0.56150556,"teacher_disagreement_score":0.84595,"about_ca_system_score_codex":0.0011848058,"about_ca_system_score_gemma":0.0021738943,"threshold_uncertainty_score":0.999769},"labels":[],"label_agreement":null},{"id":"W1984010992","doi":"10.1139/t06-080","title":"Détermination expérimentale d'une loi de tassement du ballast des voies ferrées soumises à un chargement latéral","year":2006,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ballast; Settlement (finance); Track (disk drive); Geotechnical engineering; Track geometry; Geology; Engineering; Computer science; Electrical engineering; Mechanical engineering","score_opus":0.004384269840752351,"score_gpt":0.18127282931115124,"score_spread":0.1768885594703989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984010992","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":[0.9005464,0.00085040164,0.09515037,0.00059064745,0.0004572831,0.00015758924,0.000052563726,0.00034540906,0.0018493718],"genre_scores_gemma":[0.9964603,0.000154829,0.0027237472,0.000066410095,0.00037204006,0.000013342204,0.000025046225,0.000044523615,0.00013975122],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878454,0.00001509866,0.00029822596,0.00012708279,0.00018338265,0.00059168064],"domain_scores_gemma":[0.99935216,0.000018078916,0.000033795706,0.00013310037,0.00004391764,0.00041893357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020225545,0.00019603253,0.0001559005,0.00021442096,0.00023776987,0.00014110515,0.00020447302,0.000119291646,0.00009981778],"category_scores_gemma":[0.000018840432,0.00020828392,0.00008960368,0.0001662778,0.000059971266,0.00013624155,0.000016714484,0.00030740624,0.00002247601],"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":[0.0000039465763,0.000039463852,0.0016286793,0.000037385882,0.000052262272,0.00024516226,0.00011738595,0.97512484,0.0054915035,0.00097121194,0.007216557,0.009071577],"study_design_scores_gemma":[0.0016063561,0.00023364695,0.12972175,0.00030351576,0.00011695913,0.0020064001,0.00034513514,0.7520394,0.010743502,0.004380643,0.09712168,0.0013810695],"about_ca_topic_score_codex":0.004906093,"about_ca_topic_score_gemma":0.010119409,"teacher_disagreement_score":0.22308552,"about_ca_system_score_codex":0.0009947583,"about_ca_system_score_gemma":0.000098335564,"threshold_uncertainty_score":0.8493572},"labels":[],"label_agreement":null},{"id":"W1985600951","doi":"10.1177/0954409712459306","title":"Wayside gauge face lubrication: How much do we really understand?","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","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":"L.B. Foster Rail Technologies (Canada)","funders":"","keywords":"Grease; Lubrication; Lubricant; Gauge (firearms); Ranking (information retrieval); Face (sociological concept); Process (computing); Mechanical engineering; Automotive engineering; Process engineering; Computer science; Engineering; Petroleum engineering; Materials science; Composite material; Artificial intelligence; Metallurgy","score_opus":0.012729042697823104,"score_gpt":0.19126652585308657,"score_spread":0.17853748315526347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985600951","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":[0.6551153,0.0185299,0.31419137,0.006016998,0.0034072658,0.00047592458,0.000066911176,0.00020947213,0.0019868407],"genre_scores_gemma":[0.99278265,0.003989749,0.002997289,0.000008994083,0.00017049322,0.0000018027754,7.8330504e-7,0.000020378398,0.00002783072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988112,0.000005647873,0.000476148,0.0000903059,0.00037137076,0.00024536383],"domain_scores_gemma":[0.99931884,0.00004418591,0.00018304061,0.00008731234,0.00019017498,0.00017643605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005064518,0.00019443773,0.0003711969,0.00014189233,0.00005646302,0.000021860136,0.00024788175,0.00014402336,0.0000067541127],"category_scores_gemma":[0.000077916935,0.00014336118,0.00019367444,0.00029273878,0.00009183653,0.00042516604,0.000017576447,0.0003394737,4.569155e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003847547,0.0004285241,0.00020056075,0.0037893765,0.0014290052,0.0000045041916,0.00783999,0.22425298,0.32530978,0.41075334,0.006974432,0.018632744],"study_design_scores_gemma":[0.010657167,0.0016333121,0.0016291675,0.006208803,0.002064296,0.002017697,0.012208316,0.25234345,0.6065916,0.011259981,0.09068649,0.0026997465],"about_ca_topic_score_codex":7.4378585e-7,"about_ca_topic_score_gemma":2.2576583e-7,"teacher_disagreement_score":0.39949337,"about_ca_system_score_codex":0.000058702895,"about_ca_system_score_gemma":0.000026915735,"threshold_uncertainty_score":0.58460987},"labels":[],"label_agreement":null},{"id":"W1987776072","doi":"10.1520/gtj103285","title":"An Evaluation of Real-Time Deformation Monitoring Using Motion Capture Instrumentation and Its Application in Monitoring Railway Foundations","year":2011,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Railway Engineering and Dynamics","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":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Accelerometer; Acceleration; Displacement (psychology); Instrumentation (computer programming); Geotechnical engineering; Engineering; Microelectromechanical systems; Structural engineering; Deformation (meteorology); Deformation monitoring; Levee; Foundation (evidence); System of measurement; Geology; Computer science; Materials science; Physics; Geography","score_opus":0.0561320297968046,"score_gpt":0.2914271157047742,"score_spread":0.2352950859079696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987776072","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":[0.9038975,0.0000643044,0.09537702,0.0000020407902,0.00016914129,0.00018678843,0.00000211367,0.00016296485,0.00013808209],"genre_scores_gemma":[0.9727432,0.000042502328,0.02704279,2.9755404e-7,0.0001220985,0.00001552971,0.000008375716,0.000024758067,4.4876168e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988504,0.000058772453,0.00047269254,0.00012339665,0.00031159783,0.0001831532],"domain_scores_gemma":[0.9993608,0.00004513676,0.00015036626,0.00012176442,0.00024308701,0.000078847996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011649885,0.000129002,0.00014012393,0.00026172653,0.000103843275,0.000038935963,0.00009272273,0.000132399,0.0000033267545],"category_scores_gemma":[0.00020902205,0.00014320962,0.0000235577,0.0003616069,0.000017835691,0.00075779366,0.000013477388,0.00030139065,0.0000014540667],"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":[0.0000034504794,0.000020902005,0.011073432,0.00003014897,0.000006811593,4.713205e-7,0.00041322404,0.81239915,0.14269115,0.000032609438,9.485851e-8,0.033328574],"study_design_scores_gemma":[0.00027571994,0.000026064561,0.091882214,0.00015505381,0.000036584683,0.00006154191,0.00013710908,0.901136,0.0056608724,0.0005118659,1.9525402e-7,0.00011679592],"about_ca_topic_score_codex":0.00004810633,"about_ca_topic_score_gemma":0.0000011331006,"teacher_disagreement_score":0.13703029,"about_ca_system_score_codex":0.00030902645,"about_ca_system_score_gemma":0.00003116241,"threshold_uncertainty_score":0.5839919},"labels":[],"label_agreement":null},{"id":"W1988797880","doi":"10.3141/1880-20","title":"Locomotive Horn Effectiveness at Operating Speeds","year":2004,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"Queen's University","funders":"","keywords":"French horn; Transport engineering; Engineering; Aeronautics; Operations management","score_opus":0.037911300755118296,"score_gpt":0.3259717149994521,"score_spread":0.2880604142443338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988797880","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":[0.982554,0.0002816652,0.01478543,0.000394499,0.00080031675,0.00069936627,0.000060089114,0.00009735836,0.00032726873],"genre_scores_gemma":[0.9966999,0.000583769,0.0021596148,0.000008950081,0.00018782998,0.000050315757,0.00001875262,0.000095992094,0.00019487097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99501985,0.00047838266,0.00095185265,0.00029211133,0.0023809706,0.00087682763],"domain_scores_gemma":[0.996699,0.00073474774,0.00011797916,0.00039430495,0.0016920845,0.00036190904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033041376,0.00028166152,0.0004338501,0.00078951364,0.00052983064,0.000115205396,0.0007918116,0.00019911272,0.000088084045],"category_scores_gemma":[0.00011719416,0.00022471155,0.0003339143,0.0017907704,0.00034928008,0.00049733056,0.0000072216803,0.0022198854,0.000043561256],"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":[0.000391745,0.00013058602,0.06636786,0.0005728997,0.00023840788,0.00018604031,0.0026081125,0.9001994,0.024166372,0.0020567926,0.0006059293,0.002475824],"study_design_scores_gemma":[0.0026426262,0.00056499377,0.9680417,0.0008593091,0.000046539488,0.0000029954251,0.00082803203,0.0030281355,0.018680394,0.0023796863,0.0025719784,0.00035360423],"about_ca_topic_score_codex":0.0016411758,"about_ca_topic_score_gemma":0.009944877,"teacher_disagreement_score":0.90167385,"about_ca_system_score_codex":0.0008925461,"about_ca_system_score_gemma":0.00027185623,"threshold_uncertainty_score":0.9644421},"labels":[],"label_agreement":null},{"id":"W1989092378","doi":"10.1115/imece2008-68188","title":"Internal Resonance of Finite Beams on Nonlinear Foundations Traversed by a Moving Load","year":2008,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Ontario Tech University","funders":"","keywords":"Galerkin method; Nonlinear system; Vibration; Moving load; Perturbation (astronomy); Amplitude; Structural engineering; Multiple-scale analysis; Equations of motion; Mechanics; Control theory (sociology); Engineering; Physics; Computer science; Classical mechanics; Acoustics; Optics","score_opus":0.008564564268693042,"score_gpt":0.19986464676862753,"score_spread":0.1913000824999345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989092378","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":[0.534879,0.00023085735,0.39909095,0.0000324071,0.0004691741,0.00011416304,0.000116800424,0.0005702143,0.064496405],"genre_scores_gemma":[0.98640853,0.0001053155,0.011002336,0.000026871203,0.000057472073,0.0000046211317,0.000021736669,0.000029541661,0.002343595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947375,0.000003281974,0.00016296771,0.0000902834,0.00013513875,0.00013455332],"domain_scores_gemma":[0.9997068,0.00006340333,0.000014204761,0.00014691785,0.000027080645,0.000041612042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037719703,0.000098586264,0.000110208566,0.000048745347,0.000028191624,0.000006430433,0.00009133954,0.000044780696,0.00004847126],"category_scores_gemma":[0.00003183494,0.0001001139,0.000046131227,0.000093741815,0.000024364304,0.000055853554,0.00000788828,0.000117959964,0.000039861912],"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":[0.000017038557,0.000059411323,0.00036685876,0.000043623717,0.000038626928,0.00001035524,0.00055640854,0.9823497,0.0053882105,0.00049754046,0.0042212144,0.00645101],"study_design_scores_gemma":[0.0002823516,0.000042818196,0.00068578863,0.000035190937,0.000003307795,0.000005623099,0.000019587425,0.9803444,0.0032397495,0.0000134633565,0.015200594,0.00012708356],"about_ca_topic_score_codex":0.000036816447,"about_ca_topic_score_gemma":0.0000069213365,"teacher_disagreement_score":0.4515295,"about_ca_system_score_codex":0.000058265756,"about_ca_system_score_gemma":0.000015983818,"threshold_uncertainty_score":0.40825266},"labels":[],"label_agreement":null},{"id":"W1989509923","doi":"10.1115/jrc2014-3746","title":"Advances in Bonded Insulated Rail Joints to Improve Product Performance","year":2014,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"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":"Bulgarian National Science Fund","keywords":"Track (disk drive); Finite element method; Structural engineering; Material selection; Axle; Mechanical engineering; Bar (unit); Engineering; Computer science; Materials science; Composite material","score_opus":0.0028777318969477024,"score_gpt":0.18023315036691384,"score_spread":0.17735541846996614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989509923","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":[0.96703476,0.00015677341,0.009609993,0.000043251588,0.00057335035,0.00016706194,0.0000016582201,0.000923293,0.021489844],"genre_scores_gemma":[0.99644506,0.00012110265,0.0029664517,0.000027665194,0.00006323468,0.000020490264,0.0000017789098,0.000047873542,0.0003063378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933165,0.0000044576436,0.00016994226,0.00016209997,0.00008367388,0.00024820108],"domain_scores_gemma":[0.9996717,0.000015582704,0.000007974823,0.00021844081,0.000018363517,0.00006794571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117977375,0.00013020687,0.00013996939,0.000109328335,0.000014403666,0.000015003784,0.00009426479,0.000037038208,0.0000106065845],"category_scores_gemma":[0.000056928788,0.000121838515,0.000017353696,0.00024369711,0.000006656426,0.00022111529,0.0000156476,0.000120674384,0.000073050294],"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":[0.000007567047,0.000012671608,0.0019013426,0.00009790793,0.0000040936516,6.987227e-7,0.00012312928,0.864176,0.01105711,0.00030475663,0.00006871654,0.12224604],"study_design_scores_gemma":[0.0003199754,0.000054518703,0.013317299,0.000042302396,0.0000017632713,0.0000020304285,0.0000069055495,0.96040994,0.014365835,0.00004647917,0.011172293,0.00026064564],"about_ca_topic_score_codex":0.000006631861,"about_ca_topic_score_gemma":0.000042536853,"teacher_disagreement_score":0.1219854,"about_ca_system_score_codex":0.000053129872,"about_ca_system_score_gemma":0.0000046607784,"threshold_uncertainty_score":0.49684304},"labels":[],"label_agreement":null},{"id":"W1989751907","doi":"10.1139/l08-130","title":"Investigation of shear resistance of steel bridge girders by load testing and monitoring of load response data under highway traffic conditions","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Girder; Structural engineering; Truck; Christian ministry; Engineering; Bridge (graph theory); Axle; Structural load; Shear (geology); Geotechnical engineering; Load testing; Test data; Materials science; Composite material; Automotive engineering","score_opus":0.020579487788628004,"score_gpt":0.2089099954546297,"score_spread":0.1883305076660017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989751907","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":[0.98757553,0.003576429,0.008075262,0.00006938114,0.00028135575,0.00006970171,0.00022441619,0.000039922084,0.000087980145],"genre_scores_gemma":[0.99648285,0.000059622223,0.0033458432,0.000003462288,0.000050964045,5.9208935e-7,0.000006860676,0.000033538938,0.000016262942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874514,0.000019835765,0.00060646795,0.00011963175,0.00025122342,0.000257677],"domain_scores_gemma":[0.9987298,0.00026205048,0.00016186999,0.00029164244,0.00023427267,0.0003203207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005577904,0.00017400297,0.0003469576,0.0003281852,0.000031575197,0.0000193361,0.00026377398,0.000092013564,0.0000030752387],"category_scores_gemma":[0.00056086783,0.00020902476,0.00004347646,0.00039126162,0.00006561839,0.00028515764,0.000008333292,0.0002569288,1.493184e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014046194,0.0000032344567,0.00060230197,0.00021036612,0.000052127176,0.00001041978,0.00036763374,0.8960925,0.10184929,0.000042230407,0.00059703586,0.00015885521],"study_design_scores_gemma":[0.002178697,0.0004313517,0.3523981,0.005348764,0.00023684192,0.000181888,0.00043288423,0.6111729,0.025247606,0.0001921118,0.0011347387,0.0010441223],"about_ca_topic_score_codex":0.00013472763,"about_ca_topic_score_gemma":0.0012198038,"teacher_disagreement_score":0.3517958,"about_ca_system_score_codex":0.00024516534,"about_ca_system_score_gemma":0.0004918873,"threshold_uncertainty_score":0.85237825},"labels":[],"label_agreement":null},{"id":"W1991357421","doi":"10.1115/imece2006-16137","title":"Ride Quality of High-Speed Trains Traveling Over the Corrugated Rails","year":2006,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Ride quality; Train; Acceleration; Suspension (topology); Parametric statistics; Automotive engineering; Spectral density; Engineering; Filter (signal processing); Computer science; Acoustics; Simulation; Electrical engineering; Telecommunications; Mathematics; Physics","score_opus":0.010501621118787111,"score_gpt":0.2169827195262113,"score_spread":0.20648109840742418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991357421","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":[0.8909816,0.00008475735,0.10071573,0.000033401902,0.00027511522,0.00008718378,0.000034482175,0.00040472476,0.007383018],"genre_scores_gemma":[0.998025,0.000011569636,0.001237855,0.000018004832,0.00008664682,0.0000022630422,0.000023416713,0.000030285264,0.00056493713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991655,0.000016537613,0.00034994786,0.00010245998,0.00015481333,0.00021076568],"domain_scores_gemma":[0.9995493,0.00011992327,0.00002849795,0.00024319919,0.000027413082,0.00003166013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023098753,0.00013799289,0.00020146061,0.00003532575,0.00003038695,0.000019133931,0.00013367206,0.00007191985,0.00006730756],"category_scores_gemma":[0.000023082506,0.00010216353,0.00007934251,0.00017529764,0.000032458618,0.00005148447,0.000008937331,0.0001345977,0.000009182536],"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":[0.000004242496,0.000014590926,0.00022625439,0.000038514852,0.000025627494,8.754799e-7,0.00010268756,0.95775115,0.029993191,0.010603019,0.00072748214,0.0005123348],"study_design_scores_gemma":[0.00057559746,0.000012752946,0.09855382,0.000016882777,0.000016004427,0.0000025958252,0.000074476935,0.8901523,0.008967399,0.0007355431,0.00063615874,0.00025648775],"about_ca_topic_score_codex":0.0009624332,"about_ca_topic_score_gemma":0.00018415217,"teacher_disagreement_score":0.10704343,"about_ca_system_score_codex":0.0000314076,"about_ca_system_score_gemma":0.000008382816,"threshold_uncertainty_score":0.4166108},"labels":[],"label_agreement":null},{"id":"W1992262557","doi":"10.1115/detc2007-35823","title":"Effects of the Load Distribution Patterns on the Longitudinal Freight Train Dynamics","year":2007,"lang":"en","type":"article","venue":"Volume 3: 19th International Conference on Design Theory and Methodology; 1st International Conference on Micro- and Nanosystems; and 9th International Conference on Advanced Vehicle Tire Technologies, Parts A and B","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Train; Parametric statistics; Position (finance); Nonlinear system; Freight trains; Rail freight transport; Simulation; Computer science; Engineering; Structural engineering; Automotive engineering; Mathematics","score_opus":0.06336679729209678,"score_gpt":0.2928473147375829,"score_spread":0.22948051744548614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992262557","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":[0.80589706,0.0006300577,0.16774134,0.0068087475,0.005352673,0.001506571,0.0014377362,0.0005781308,0.010047687],"genre_scores_gemma":[0.994843,0.002482396,0.0006001274,0.00017571448,0.00009029666,0.000095673604,0.00008714928,0.00003477122,0.0015908683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99720764,0.0003579896,0.0006674665,0.00073455763,0.0005916771,0.0004406404],"domain_scores_gemma":[0.997318,0.0014046673,0.0003359047,0.0003560163,0.00046455077,0.00012085753],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016854997,0.0005774159,0.000519352,0.00030471303,0.0002679414,0.0002190478,0.00085477164,0.0003838896,0.00009391519],"category_scores_gemma":[0.00074118143,0.00041184708,0.00010478846,0.00015065126,0.0006195316,0.00020825479,0.00020256355,0.00084391655,0.000008570132],"study_design_candidate":"theoretical_or_conceptual","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":[0.0010207032,0.00011797295,0.0011742603,0.000095799995,0.00027306058,0.000023505669,0.00022840947,0.0002149485,0.018101886,0.8964918,0.0001262807,0.08213133],"study_design_scores_gemma":[0.007440397,0.0039644316,0.028415306,0.0068138614,0.00029070725,0.0004976668,0.0075057084,0.66856694,0.10371058,0.15844966,0.011081365,0.0032633685],"about_ca_topic_score_codex":0.000028111092,"about_ca_topic_score_gemma":0.00005839136,"teacher_disagreement_score":0.7380422,"about_ca_system_score_codex":0.00022970315,"about_ca_system_score_gemma":0.00007849547,"threshold_uncertainty_score":0.99983335},"labels":[],"label_agreement":null},{"id":"W1995957002","doi":"10.1115/detc2007-35809","title":"Effects of Coupler Specifications and Operational Conditions on the Longitudinal Freight Train Dynamics","year":2007,"lang":"en","type":"article","venue":"Volume 3: 19th International Conference on Design Theory and Methodology; 1st International Conference on Micro- and Nanosystems; and 9th International Conference on Advanced Vehicle Tire Technologies, Parts A and B","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Acceleration; Stiffness; Vehicle dynamics; Root mean square; Engineering; Automotive engineering; Dynamics (music); Structural engineering; Control theory (sociology); Physics; Computer science; Electrical engineering; Acoustics","score_opus":0.10803793325277085,"score_gpt":0.313992705813201,"score_spread":0.20595477256043015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995957002","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":[0.79600704,0.0011620716,0.15944995,0.011519972,0.004343808,0.0020434128,0.0018535675,0.0007714362,0.022848772],"genre_scores_gemma":[0.99126464,0.004010589,0.0022574617,0.00020979492,0.00009437672,0.00013493042,0.00014960924,0.00003666518,0.0018419244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99746215,0.00025726424,0.00068223453,0.0007601248,0.00045449391,0.00038371296],"domain_scores_gemma":[0.9970821,0.0017374502,0.0002718467,0.00028331525,0.00047596308,0.00014931637],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013431774,0.0005435341,0.00052157836,0.00057364174,0.0003079874,0.00025847377,0.0005544676,0.00034909605,0.00018100746],"category_scores_gemma":[0.0005528268,0.00044493325,0.000070074995,0.00014362966,0.0008055551,0.0002683253,0.000136031,0.0006968375,0.000010998572],"study_design_candidate":"theoretical_or_conceptual","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":[0.00064649136,0.00011705683,0.00059057784,0.00006370242,0.00026149486,0.000020213542,0.00022862984,0.0002324716,0.028947573,0.93897104,0.00015944171,0.029761275],"study_design_scores_gemma":[0.006261432,0.0033192658,0.021926435,0.0033537808,0.00023251136,0.0005294362,0.007776713,0.7191909,0.04137218,0.18414094,0.009177599,0.002718827],"about_ca_topic_score_codex":0.00001646047,"about_ca_topic_score_gemma":0.00003641364,"teacher_disagreement_score":0.7548301,"about_ca_system_score_codex":0.00012455006,"about_ca_system_score_gemma":0.00006906579,"threshold_uncertainty_score":0.99980026},"labels":[],"label_agreement":null},{"id":"W1996006643","doi":"10.1115/jrc2011-56007","title":"Maximum Allowable Speed on Curve","year":2011,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Jerk; Track (disk drive); Blanket; Limit (mathematics); Acceleration; RADIUS; Structural engineering; Turning radius; Control theory (sociology); Engineering; Computer science; Automotive engineering; Mathematics; Control (management); Mechanical engineering; Mathematical analysis; Physics; Materials science","score_opus":0.016563503293506695,"score_gpt":0.18388031708779187,"score_spread":0.16731681379428517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996006643","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":[0.15972432,0.000039555212,0.033709273,0.000008846616,0.00068510795,0.00006284083,0.00000450941,0.0013916715,0.80437386],"genre_scores_gemma":[0.9913226,0.000022181479,0.0051307264,0.000038053247,0.000047434194,0.000002204946,0.0000044873213,0.000038789247,0.0033935264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959123,0.0000021595224,0.00008142307,0.000081416016,0.000063351006,0.00018039087],"domain_scores_gemma":[0.9997401,0.0000123907,0.0000039052297,0.00017689595,0.000007968552,0.000058709324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003984689,0.00009909066,0.00007868472,0.00004839959,0.000012684269,0.00000896842,0.000085449115,0.000047779926,0.00035994552],"category_scores_gemma":[0.000007147468,0.00009119962,0.000032067695,0.000068719266,0.000006598536,0.000045626115,0.000007498166,0.00008515803,0.0005501098],"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":[0.000026517071,0.00012964815,0.0016713962,0.00012007876,0.00015799074,0.0000638912,0.00096022757,0.9224958,0.0048868977,0.032495335,0.025465088,0.011527162],"study_design_scores_gemma":[0.00041259825,0.000115663395,0.0042405454,0.000025947442,0.000011363058,0.000009541321,0.000058195266,0.9598166,0.012476151,0.0023351186,0.01995114,0.0005471785],"about_ca_topic_score_codex":0.000022616483,"about_ca_topic_score_gemma":0.000006097069,"teacher_disagreement_score":0.8315983,"about_ca_system_score_codex":0.00002167557,"about_ca_system_score_gemma":0.0000024882518,"threshold_uncertainty_score":0.7070732},"labels":[],"label_agreement":null},{"id":"W1996999909","doi":"10.1243/14644193jmbd179","title":"Finite element analysis of a Timoshenko beam traversed by a moving vehicle","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Ontario Tech University; Concordia University","funders":"","keywords":"Timoshenko beam theory; Deflection (physics); Finite element method; Beam (structure); Moving load; Equations of motion; Structural engineering; Mathematics; Physics; Mechanics; Classical mechanics; Mathematical analysis; Engineering","score_opus":0.0071125521721167725,"score_gpt":0.20995721699886175,"score_spread":0.20284466482674499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996999909","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":[0.6557145,0.00022347725,0.34290347,0.000106108855,0.00050090544,0.00020250808,0.00015330879,0.0000669297,0.0001288062],"genre_scores_gemma":[0.993239,0.00018958235,0.0064708376,0.000013239377,0.000034912355,0.0000019940403,0.000010427836,0.000021690845,0.000018315028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99778223,0.0000067674896,0.001208393,0.00014578903,0.00057832676,0.00027848134],"domain_scores_gemma":[0.9986279,0.00007323258,0.00056285004,0.00015665578,0.000442059,0.00013729114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006232259,0.00026047186,0.0007377034,0.0004747318,0.000042621417,0.000015784883,0.00053473003,0.00018127618,0.000006919384],"category_scores_gemma":[0.00031268987,0.00022163618,0.00052731135,0.0009883075,0.0000716576,0.00024346811,0.00003702401,0.00042708774,3.7240355e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046776695,0.00017579418,0.00010983946,0.00013109713,0.00069385645,8.271609e-7,0.00015103072,0.9265664,0.06804411,0.0032201298,0.000075552445,0.0007845512],"study_design_scores_gemma":[0.00092412194,0.00020823431,0.0003567454,0.00022093084,0.0007063155,0.0000062846525,0.00015302097,0.9565648,0.04052632,0.000060434017,0.000087703665,0.00018512664],"about_ca_topic_score_codex":0.0000054867046,"about_ca_topic_score_gemma":0.0000019004625,"teacher_disagreement_score":0.3375245,"about_ca_system_score_codex":0.00023196211,"about_ca_system_score_gemma":0.00004506908,"threshold_uncertainty_score":0.9038061},"labels":[],"label_agreement":null},{"id":"W1997661800","doi":"10.1139/l08-026","title":"Experimental evaluation of accuracy of current practices in analysis and design of railway track sleepers","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ballast; Track (disk drive); Current (fluid); Structural engineering; Load factor; Engineering; Dynamic load testing; Structural dynamics; Load distribution; Structural load; Design load; Marine engineering; Finite element method; Mechanical engineering; Electrical engineering","score_opus":0.04174171387711336,"score_gpt":0.2708989364486757,"score_spread":0.22915722257156232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997661800","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":[0.93522877,0.010191064,0.054129872,0.0000037976213,0.00023815355,0.00010138141,0.0000119990655,0.00000773585,0.00008722799],"genre_scores_gemma":[0.9984014,0.00021980683,0.0013264066,4.8509696e-7,0.000025833077,0.0000027173708,0.0000020467637,0.000020459078,8.491407e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988267,0.00003296549,0.0005973916,0.00007889513,0.00028186865,0.00018219172],"domain_scores_gemma":[0.9990378,0.00016457895,0.00031428444,0.00012562351,0.0001727979,0.00018492738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069438876,0.0001376217,0.00041209836,0.0011330093,0.00001258925,0.0000065133227,0.00013019811,0.000059446345,0.000029099836],"category_scores_gemma":[0.0004924905,0.0001510479,0.00010057261,0.0006079613,0.000037443686,0.00025690536,0.000004478189,0.00019157978,1.0553801e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005540522,0.000013429959,0.0032283913,0.00010220233,0.00020050298,0.000007687157,0.0014186347,0.9771291,0.017186332,0.000017303011,0.000012046429,0.00067882315],"study_design_scores_gemma":[0.0005689177,0.000065440196,0.023087354,0.00018589017,0.00024164667,0.000042538988,0.00018731176,0.9613729,0.014056203,0.000005674893,0.000037902824,0.00014820954],"about_ca_topic_score_codex":0.0002797648,"about_ca_topic_score_gemma":0.0022274521,"teacher_disagreement_score":0.06317263,"about_ca_system_score_codex":0.000155684,"about_ca_system_score_gemma":0.00026126564,"threshold_uncertainty_score":0.6159555},"labels":[],"label_agreement":null},{"id":"W1998143457","doi":"10.1016/j.jsv.2011.12.032","title":"Predicting surface vibration from underground railways through inhomogeneous soil","year":2012,"lang":"en","type":"article","venue":"Journal of Sound and Vibration","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Gates Cambridge Trust","keywords":"Vibration; Noise (video); Soil water; Modulus; Exponential function; Mathematics; Geotechnical engineering; Soil science; Environmental science; Geology; Mathematical analysis; Geometry; Acoustics; Physics; Computer science","score_opus":0.012213269253944933,"score_gpt":0.2111661798703167,"score_spread":0.19895291061637177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998143457","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":[0.66262585,0.0012637564,0.33506325,0.000029547302,0.00066143094,0.000027320113,0.0000063614693,0.00004955379,0.0002729368],"genre_scores_gemma":[0.9911917,0.00029997283,0.0075652287,0.000028484248,0.0008589964,3.8352283e-7,0.00001651459,0.000025231791,0.000013482517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992709,0.000018550832,0.00031882356,0.000060475228,0.00016446663,0.00016677397],"domain_scores_gemma":[0.9996163,0.00008208547,0.00010377109,0.00007289129,0.000042178726,0.000082737024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016859476,0.0001223364,0.00015534558,0.000039790768,0.00008017521,0.000105251034,0.000050045863,0.00009762686,0.000011005837],"category_scores_gemma":[0.000027678603,0.00011414081,0.000044978613,0.000083869374,0.000015760228,0.0011797736,0.000009868106,0.00017703974,0.0000036684696],"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":[0.000025259978,0.000044370412,0.017364811,0.000065613014,0.0001402028,0.00000419122,0.0038131387,0.91003776,0.065679766,0.0008895935,0.00017481991,0.0017604771],"study_design_scores_gemma":[0.0013254288,0.0002187913,0.02712866,0.00015649425,0.0001626583,0.00027664215,0.0014504952,0.9415624,0.013432272,0.012663248,0.0010396681,0.0005832295],"about_ca_topic_score_codex":0.000012793286,"about_ca_topic_score_gemma":0.000011997764,"teacher_disagreement_score":0.32856587,"about_ca_system_score_codex":0.00005786984,"about_ca_system_score_gemma":0.000012563299,"threshold_uncertainty_score":0.4654527},"labels":[],"label_agreement":null},{"id":"W1998288962","doi":"10.1002/mma.871","title":"Floating ladder track response to a steadily moving load","year":2007,"lang":"en","type":"article","venue":"Mathematical Methods in the Applied Sciences","topic":"Railway Engineering and Dynamics","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":"University of Victoria","funders":"Universiti Brunei Darussalam","keywords":"Moving load; Critical speed; Vibration; Beam (structure); Euler's formula; Mathematics; Wavenumber; Elasticity (physics); Track (disk drive); Structural engineering; Mathematical analysis; Physics; Acoustics; Engineering; Optics","score_opus":0.03461663910645872,"score_gpt":0.34912278895829146,"score_spread":0.31450614985183273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998288962","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23288682,0.000035570843,0.73622245,0.000093616,0.000106285224,0.00019384616,7.224124e-7,0.00015515389,0.030305542],"genre_scores_gemma":[0.37669438,5.8123345e-7,0.6230857,0.00011517478,0.000044061773,0.000016236318,7.335419e-8,0.000013615528,0.000030193207],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983847,0.000115634204,0.00037326588,0.00022025402,0.0004210274,0.0004851335],"domain_scores_gemma":[0.99604946,0.0035414798,0.000022287977,0.00028451148,0.000013649611,0.00008859737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018776352,0.00016150347,0.000217361,0.00016213358,0.00011338536,0.00010154726,0.00057063776,0.00006961968,0.000019484432],"category_scores_gemma":[0.0011806526,0.000111294285,0.000040438088,0.000964962,0.00011126718,0.000056776324,0.000046781774,0.00025374623,0.000050376882],"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":[0.000065539934,0.00009315185,0.00002103404,0.00019085607,0.00002043572,0.000021934651,0.027624566,0.35079977,0.40786076,0.10009407,0.00024203744,0.112965845],"study_design_scores_gemma":[0.0002907953,0.00008926894,0.0006186371,0.0001182677,0.000016475859,0.000040041585,0.0075589544,0.9122003,0.021662332,0.05555858,0.0012575287,0.00058886537],"about_ca_topic_score_codex":0.0000015012528,"about_ca_topic_score_gemma":0.0000037313528,"teacher_disagreement_score":0.5614005,"about_ca_system_score_codex":0.00007570534,"about_ca_system_score_gemma":0.000020659476,"threshold_uncertainty_score":0.6507546},"labels":[],"label_agreement":null},{"id":"W2002371946","doi":"10.1016/j.wear.2004.03.065","title":"Rolling contact fatigue on the British railway system: treatment","year":2004,"lang":"en","type":"article","venue":"Wear","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Derailment; Lubrication; Railway system; Preventive maintenance; Grinding; Forensic engineering; Materials science; Engineering; Mechanical engineering; Transport engineering; Track (disk drive)","score_opus":0.01197579445146583,"score_gpt":0.1921052527433689,"score_spread":0.18012945829190308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002371946","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":[0.9671308,0.00048232934,0.018455565,0.00013893115,0.0007711521,0.0002836352,0.000032984182,0.0011756247,0.011529008],"genre_scores_gemma":[0.9992202,0.00007891605,0.00026187563,0.000017651813,0.00012401116,0.000028502807,0.000006863154,0.000039703067,0.0002222811],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994628,0.00000775997,0.000119938,0.00010839151,0.000099933284,0.0002012029],"domain_scores_gemma":[0.99968344,0.0000419946,0.000010625064,0.00020376626,0.0000082729475,0.000051915176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059569073,0.00012689439,0.00013106015,0.000022479458,0.00012133606,0.0001346594,0.000090013,0.000053572407,0.000009383542],"category_scores_gemma":[0.00000850568,0.00010448489,0.000065059365,0.00007506414,0.000007880638,0.000032856722,0.000004662787,0.00009796036,0.00011991538],"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":[0.0000023668747,0.000016659244,0.000027581198,0.000033878325,0.000052389274,0.000037471335,0.00015956913,0.9926722,0.00096476404,0.004592814,0.00012039107,0.0013198815],"study_design_scores_gemma":[0.004453839,0.00069336075,0.0031821856,0.0019986536,0.00012378303,0.00026052364,0.0011274423,0.9321436,0.0215439,0.00036700413,0.032677595,0.0014281028],"about_ca_topic_score_codex":0.00018451603,"about_ca_topic_score_gemma":0.00007761693,"teacher_disagreement_score":0.060528625,"about_ca_system_score_codex":0.00026730323,"about_ca_system_score_gemma":0.000010391235,"threshold_uncertainty_score":0.42607704},"labels":[],"label_agreement":null},{"id":"W2003133256","doi":"10.1115/detc2010-28062","title":"Wheelbase Filtering and Characterization of Road Profiles for Vehicle Dynamics","year":2010,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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 Waterloo","funders":"","keywords":"Vehicle dynamics; Automotive engineering; Engineering","score_opus":0.0038492256240622493,"score_gpt":0.18282890098804255,"score_spread":0.1789796753639803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003133256","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":[0.867182,0.0000049872037,0.13187222,0.000016124002,0.00023506761,0.000108643595,0.00007059972,0.00016933026,0.00034098167],"genre_scores_gemma":[0.99187976,0.0000120899795,0.0077904575,0.000004047105,0.00004205332,0.000019191195,0.000079602054,0.00002507278,0.00014770316],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967074,0.0000012088565,0.00011583625,0.00007175688,0.000036452137,0.00010399426],"domain_scores_gemma":[0.9998126,0.000014533423,0.00001352201,0.00010103008,0.000023282175,0.000035057237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047112833,0.0000758263,0.00009001802,0.000044820565,0.000016991433,0.000014824962,0.000041872878,0.00005545674,0.0000086456475],"category_scores_gemma":[0.000011939116,0.000076218355,0.000019130106,0.00004386769,0.000013334467,0.000086761735,0.000009925585,0.000065270666,7.971783e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003625629,0.0000069902535,0.0005741469,0.000199459,0.000009978879,2.1131024e-7,0.0000576791,0.0036622346,0.97195566,0.0020949186,0.000007724661,0.021427395],"study_design_scores_gemma":[0.00013571026,0.000015046149,0.0101268375,0.0000098563305,0.0000045370994,0.000001937973,0.000008774852,0.9477331,0.041667663,0.000033978045,0.0001718223,0.00009071791],"about_ca_topic_score_codex":0.000004569079,"about_ca_topic_score_gemma":0.000019261679,"teacher_disagreement_score":0.9440709,"about_ca_system_score_codex":0.000007554515,"about_ca_system_score_gemma":0.0000034805369,"threshold_uncertainty_score":0.31080943},"labels":[],"label_agreement":null},{"id":"W2011080482","doi":"10.1243/14644193jmbd121","title":"Optimal passive vibration control of Timoshenko beams with arbitrary boundary conditions traversed by moving loads","year":2008,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Timoshenko beam theory; Vibration; Beam (structure); Galerkin method; Tuned mass damper; Control theory (sociology); Boundary value problem; Vibration control; Structural engineering; Equations of motion; Bridge (graph theory); Optimal control; Boundary (topology); Moving load; Damper; Computer science; Mathematics; Engineering; Physics; Mathematical analysis; Finite element method; Control (management); Acoustics; Mathematical optimization; Classical mechanics","score_opus":0.005587634748364842,"score_gpt":0.19128283075478772,"score_spread":0.18569519600642287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011080482","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":[0.53673965,0.000121081066,0.46210855,0.00006767931,0.00042228439,0.00021077525,0.00019804889,0.00005270482,0.0000792568],"genre_scores_gemma":[0.98437434,0.00015041218,0.015320087,0.000012642665,0.00006083692,0.0000067422097,0.000020284484,0.00003964166,0.000015034982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980661,0.0000093846,0.00097233796,0.0001442838,0.00054971845,0.00025814344],"domain_scores_gemma":[0.9985166,0.00007980399,0.0005794792,0.00012564035,0.00055522315,0.00014320518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002720184,0.00028309316,0.0005963504,0.0002201761,0.00010277365,0.000015106635,0.0003897699,0.00020940122,0.00000608019],"category_scores_gemma":[0.00016671166,0.00022943897,0.00026121474,0.0003391777,0.00028276807,0.00050548906,0.000026249973,0.0005593438,4.850537e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013672265,0.00017626549,0.00012791189,0.0002444166,0.00032472675,0.00000444731,0.00019030806,0.92519075,0.068643935,0.0047088615,0.00015235413,0.00009931678],"study_design_scores_gemma":[0.0022806765,0.00033707844,0.00027080913,0.00039973017,0.00017370793,0.00018220067,0.00021271851,0.94264466,0.053145435,0.000046806257,0.00007644901,0.0002297386],"about_ca_topic_score_codex":0.0000047742196,"about_ca_topic_score_gemma":9.198539e-7,"teacher_disagreement_score":0.4476347,"about_ca_system_score_codex":0.00020147965,"about_ca_system_score_gemma":0.00014927688,"threshold_uncertainty_score":0.935625},"labels":[],"label_agreement":null},{"id":"W2011627344","doi":"10.1115/imece2006-16132","title":"Application of the Delayed Resonators in Active Suspension Systems of High-Speed Trains","year":2006,"lang":"en","type":"article","venue":"Design Engineering and Computers and Information in Engineering, Parts A and B","topic":"Railway Engineering and Dynamics","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":"Ontario Tech University","funders":"","keywords":"Resonator; Monte Carlo method; Random vibration; Train; Vibration; Harmonic; Acoustics; Controller (irrigation); Suspension (topology); Harmonic analysis; Damper; Spectral density; Power (physics); Tuned mass damper; Excitation; Surface finish; Computer science; Control theory (sociology); Physics; Electronic engineering; Engineering; Structural engineering; Optics; Electrical engineering; Mechanical engineering; Mathematics","score_opus":0.003222467866698781,"score_gpt":0.15235567301863537,"score_spread":0.1491332051519366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011627344","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":[0.59260046,0.00025068907,0.40669903,0.0000061110436,0.00016197535,0.00019606357,0.0000125110155,0.000057627432,0.000015506414],"genre_scores_gemma":[0.9981158,0.0001269039,0.0016958956,0.0000026044468,0.000016640279,0.000014590192,0.000013346058,0.00001306736,0.0000011987737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999258,0.000008084181,0.0003909913,0.00008666717,0.00009962009,0.00015668402],"domain_scores_gemma":[0.9997159,0.00006771854,0.00005223632,0.00010441348,0.000023517083,0.00003619854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014141256,0.00015953163,0.00023203863,0.00026629862,0.000015633796,0.000024175737,0.000059976486,0.0000892303,1.5594813e-7],"category_scores_gemma":[0.000009515977,0.00014287254,0.000020037764,0.00024133633,0.00002094468,0.00029343285,0.000020582318,0.0001279278,8.698768e-8],"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":[0.0000073336314,0.000006344095,0.0002769245,0.00026209385,0.000009184612,3.7651301e-7,0.0003425761,0.9903271,0.00072029803,0.0070652994,0.00001418673,0.0009682489],"study_design_scores_gemma":[0.00041867341,0.000028798442,0.030378118,0.0001408072,0.0000057716143,0.00000967874,0.000034660046,0.9680786,0.0004570026,0.000018889048,0.00028780408,0.00014120803],"about_ca_topic_score_codex":0.00021015847,"about_ca_topic_score_gemma":0.0000047905705,"teacher_disagreement_score":0.40551525,"about_ca_system_score_codex":0.000029877745,"about_ca_system_score_gemma":0.0000058565047,"threshold_uncertainty_score":0.5826173},"labels":[],"label_agreement":null},{"id":"W2011764271","doi":"10.1115/imece2012-85800","title":"Experimental Investigation on the Modal Characteristics of Rolling Thick Disk","year":2012,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Concordia University","funders":"","keywords":"Stiffening; Rotation (mathematics); Boundary value problem; Vibration; Rotational symmetry; Mechanics; Modal; Plane (geometry); Displacement (psychology); Physics; Modal analysis; Boundary (topology); Point (geometry); Acoustics; Mathematical analysis; Materials science; Structural engineering; Mathematics; Geometry; Engineering","score_opus":0.01673714043477245,"score_gpt":0.2007138775267942,"score_spread":0.18397673709202175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011764271","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":[0.9859668,0.000071001334,0.010038064,0.000028429793,0.0003501701,0.00005374536,0.000006516072,0.00014238698,0.003342872],"genre_scores_gemma":[0.99912053,0.0000065680633,0.0006317527,0.000029958623,0.000115526294,0.000007253241,0.000008199428,0.000018583838,0.00006159947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996104,0.000006805774,0.0001197829,0.000039973293,0.00009100046,0.0001319945],"domain_scores_gemma":[0.99975926,0.000049399954,0.000014332803,0.00012406943,0.000007869743,0.00004505991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093460505,0.000080955884,0.00007542897,0.00002464494,0.000023176477,0.000009098743,0.00006127385,0.00003935094,0.00002598295],"category_scores_gemma":[0.000015512082,0.000057297955,0.000026529651,0.000053116408,0.000018525783,0.00006785968,0.000008758933,0.00009314376,0.00001920266],"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":[0.000021080614,0.00014384459,0.019215882,0.00014804812,0.00013265263,8.82e-7,0.006908258,0.44571647,0.36544168,0.15855211,0.000951281,0.002767821],"study_design_scores_gemma":[0.00009773185,0.000027485827,0.011330197,0.000027044438,0.0000074178415,0.0000015606879,0.00021750407,0.8031225,0.18469791,0.00007736014,0.0002354775,0.00015777892],"about_ca_topic_score_codex":0.0000034795673,"about_ca_topic_score_gemma":1.4431879e-7,"teacher_disagreement_score":0.35740608,"about_ca_system_score_codex":0.00002429733,"about_ca_system_score_gemma":0.0000025403979,"threshold_uncertainty_score":0.23365428},"labels":[],"label_agreement":null},{"id":"W2012643667","doi":"10.1016/j.engstruct.2012.12.031","title":"A numerical element for vehicle–bridge interaction analysis of vehicles experiencing sudden deceleration","year":2013,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Acceleration; Deflection (physics); Structural engineering; Bridge (graph theory); Substructure; Contact force; Vehicle dynamics; Finite element method; Engineering; Computer science; Automotive engineering; Physics","score_opus":0.007463484556702412,"score_gpt":0.22570017559061703,"score_spread":0.21823669103391463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012643667","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":[0.6500925,0.000102118385,0.3490004,0.000013468736,0.00028567627,0.00017491147,0.000012666184,0.00027865087,0.00003963721],"genre_scores_gemma":[0.98797995,0.000010221132,0.011653461,0.000012779405,0.0001031241,0.00011850514,0.00006834366,0.000045861296,0.000007771113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990607,0.000005768626,0.00034526072,0.00017298484,0.00014997089,0.00026534835],"domain_scores_gemma":[0.999501,0.00009714743,0.000040977808,0.0002042463,0.000064478845,0.00009215866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057194164,0.0002046593,0.00030469382,0.00036561087,0.000033909084,0.000053597305,0.000119950106,0.0000825486,0.000045034936],"category_scores_gemma":[0.000073519455,0.0002095038,0.00015337938,0.00043801163,0.000008816899,0.00018874537,0.000011676908,0.00012108699,0.0000021322376],"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":[0.0000031595557,0.0000049443115,0.00018173282,0.000078309844,0.00035537322,2.7074154e-7,0.00054387737,0.96632123,0.029112265,0.0005323794,0.00035564599,0.002510784],"study_design_scores_gemma":[0.00014197663,0.000028148454,0.025560625,0.000014137625,0.000110112465,0.000001295031,0.000065295484,0.95589656,0.017464135,0.000043159253,0.00046821084,0.00020634547],"about_ca_topic_score_codex":0.000057013498,"about_ca_topic_score_gemma":0.0000017194544,"teacher_disagreement_score":0.33788747,"about_ca_system_score_codex":0.00009210223,"about_ca_system_score_gemma":0.000008130249,"threshold_uncertainty_score":0.85433173},"labels":[],"label_agreement":null},{"id":"W2014783749","doi":"10.1080/00423114.2010.527011","title":"Active lateral secondary suspension with<i>H</i><sub>∞</sub>control to improve ride comfort: simulations on a full-scale model","year":2011,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada)","funders":"Trafikverket","keywords":"Bogie; Centring; Engineering; Suspension (topology); Scale model; Automotive engineering; Structural engineering; Ride quality; Track (disk drive); Control (management); Simulation; Control theory (sociology); Mechanical engineering; Computer science; Aerospace engineering","score_opus":0.00474938924454309,"score_gpt":0.16895389751991086,"score_spread":0.16420450827536776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014783749","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":[0.8248246,0.000007775038,0.17075568,0.000013111112,0.00036216696,0.00055808196,0.00055896904,0.0008002357,0.0021194287],"genre_scores_gemma":[0.9977634,0.0000021380931,0.0017699981,0.000048151745,0.00007027934,0.00006361517,0.000070438924,0.00015084581,0.000061165476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840117,0.000025748372,0.00039489803,0.00038922532,0.00025670588,0.0005322781],"domain_scores_gemma":[0.99897254,0.00006024844,0.00006465065,0.0005431713,0.00009617973,0.00026322587],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010964494,0.0003977769,0.00041286822,0.00022114943,0.00012745234,0.000049100057,0.00020725378,0.00019668117,0.0000032119867],"category_scores_gemma":[0.0000065754552,0.0003821284,0.0001012278,0.0002669212,0.00002634978,0.00022368444,0.00003632126,0.00039155965,0.00007218896],"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":[0.00018899741,0.00003681197,0.0002577123,0.00014246808,0.00009206496,0.000018904664,0.0005604247,0.9603713,0.035486344,0.0005479675,0.000017484235,0.0022795347],"study_design_scores_gemma":[0.0010198379,0.00024163928,0.0015961585,0.00015194582,0.000050962448,0.000021688686,0.00012397648,0.9901193,0.00615902,0.00003680527,0.0000071353093,0.0004715484],"about_ca_topic_score_codex":0.000034585377,"about_ca_topic_score_gemma":0.0005298078,"teacher_disagreement_score":0.17293881,"about_ca_system_score_codex":0.00056134764,"about_ca_system_score_gemma":0.000045098524,"threshold_uncertainty_score":0.9998631},"labels":[],"label_agreement":null},{"id":"W2022043824","doi":"10.1115/jrc2012-74120","title":"Multiple Regression Analysis of the Impact of Track Geometry on Wheel-Rail Forces","year":2012,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"National Research Council Canada","funders":"","keywords":"Track geometry; Track (disk drive); Truck; Curvature; Regression analysis; Structural engineering; Geometry; Mathematics; Engineering; Automotive engineering; Mechanical engineering; Statistics","score_opus":0.009137218820481225,"score_gpt":0.23825521476721284,"score_spread":0.22911799594673163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022043824","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":[0.99268675,0.00017175102,0.004126511,0.0000031199959,0.00012745224,0.00004427986,0.000032154676,0.00007148855,0.002736512],"genre_scores_gemma":[0.9993498,0.000021494647,0.0003631692,0.0000017684429,0.000023031042,0.0000015488066,0.0000073768497,0.00001556944,0.00021627912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994384,0.000008753413,0.00018626849,0.000058018748,0.0001349486,0.00017359482],"domain_scores_gemma":[0.9994876,0.0000988961,0.000039736722,0.00030254608,0.000020104893,0.000051151757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010889042,0.000111034824,0.00022487354,0.00022940557,0.000014985739,0.0000039705074,0.00012287957,0.00006523764,0.00006942317],"category_scores_gemma":[0.000050230523,0.00006108485,0.00030401984,0.00073526433,0.000016714113,0.000072391806,0.000014729157,0.000086604494,0.0000026001399],"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":[0.0000048396046,0.00003076154,0.08600706,0.000023980987,0.00037312237,4.0907455e-8,0.00017372405,0.9035166,0.0085731745,0.00007022668,0.00022905352,0.0009974241],"study_design_scores_gemma":[0.00009945078,0.000020900377,0.31585371,0.000021850024,0.00010071316,2.7457645e-7,0.000034782366,0.67213327,0.011628199,0.0000034403906,0.000030517347,0.00007287817],"about_ca_topic_score_codex":0.00007528304,"about_ca_topic_score_gemma":0.000012609501,"teacher_disagreement_score":0.23138331,"about_ca_system_score_codex":0.000036683847,"about_ca_system_score_gemma":0.0000039066,"threshold_uncertainty_score":0.2490968},"labels":[],"label_agreement":null},{"id":"W2023907423","doi":"10.1243/09544097jrrt258","title":"Impact load due to railway wheels with multiple flats predicted using an adaptive contact model","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Asymmetry; Track (disk drive); Axle; Contact area; Axle load; Contact patch; Plane (geometry); Structural engineering; Contact mechanics; Contact force; Geometry; Engineering; Physics; Mechanical engineering; Mathematics; Materials science; Finite element method; Tread; Classical mechanics","score_opus":0.012940765998040168,"score_gpt":0.21089981698220325,"score_spread":0.19795905098416308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023907423","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":[0.7328653,0.00017175027,0.2664278,0.00006454387,0.00014928004,0.00017092905,0.00003734241,0.00004747603,0.000065628854],"genre_scores_gemma":[0.9877736,0.00007833292,0.012031873,0.000014690753,0.000073894524,0.0000013950918,9.731895e-7,0.000022117292,0.0000031208112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858165,0.000005928416,0.0005530791,0.00014419032,0.00044093214,0.00027423177],"domain_scores_gemma":[0.9990137,0.00002769993,0.00016062688,0.00009393928,0.00043434824,0.00026965432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040241156,0.0002627055,0.0005297959,0.00017941413,0.00006287821,0.000021735408,0.00024619035,0.00014192653,0.000002590859],"category_scores_gemma":[0.000075454125,0.00017668551,0.00017732846,0.00032096202,0.000049224844,0.0004919992,0.000011234331,0.00035577227,1.0529146e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004588045,0.00007275451,0.000019305186,0.000069272544,0.00014873607,0.0000027616472,0.00046858782,0.86797976,0.12882718,0.0009040959,0.000025079118,0.0010236744],"study_design_scores_gemma":[0.0016297743,0.0014504676,0.0007030502,0.00061788736,0.00015582403,0.00022514841,0.000088713045,0.96326584,0.031462297,0.00014336083,0.00002854495,0.0002290985],"about_ca_topic_score_codex":0.0000047199956,"about_ca_topic_score_gemma":0.0000017256469,"teacher_disagreement_score":0.25490835,"about_ca_system_score_codex":0.000109749264,"about_ca_system_score_gemma":0.00010225946,"threshold_uncertainty_score":0.7205026},"labels":[],"label_agreement":null},{"id":"W2025353901","doi":"10.1139/t11-003","title":"Mesure en continu de la raideur dynamique d’une voie ferrée","year":2011,"lang":"fr","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physics; Humanities; Philosophy","score_opus":0.007243788027597363,"score_gpt":0.19907819914628436,"score_spread":0.191834411118687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025353901","genre_codex":"methods","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":[0.11243169,0.021307826,0.78122395,0.014423343,0.00863255,0.0006217957,0.0005683438,0.0010714891,0.059719034],"genre_scores_gemma":[0.9809941,0.0014046207,0.0131224375,0.00026161195,0.0008934908,0.00000983445,0.000010187011,0.00017524832,0.0031284352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972959,0.00025245862,0.00058234454,0.0002688027,0.00021401074,0.001386495],"domain_scores_gemma":[0.9968881,0.00023316481,0.00008085922,0.00040506816,0.00010010711,0.002292687],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0014767515,0.0004369179,0.0004560674,0.00039254042,0.00019814003,0.0001842734,0.00065665366,0.0012231946,0.00059021934],"category_scores_gemma":[0.00045409653,0.00050673663,0.0003013979,0.00040727443,0.00022538495,0.00017669694,0.00004009864,0.0032975895,0.00013592934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038708196,0.00012466915,0.002713692,0.0003129061,0.00065710035,0.01280774,0.0030364925,0.82358915,0.0012201333,0.0455069,0.03731843,0.07267408],"study_design_scores_gemma":[0.0011456937,0.00022100369,0.053105075,0.00083145977,0.0002527419,0.015185816,0.00025001154,0.59637666,0.000139791,0.017767787,0.313321,0.0014029872],"about_ca_topic_score_codex":0.054994557,"about_ca_topic_score_gemma":0.027701022,"teacher_disagreement_score":0.86856246,"about_ca_system_score_codex":0.0017961947,"about_ca_system_score_gemma":0.0010796386,"threshold_uncertainty_score":0.9997384},"labels":[],"label_agreement":null},{"id":"W2027093557","doi":"10.1016/j.jsv.2008.11.024","title":"In-plane free vibration of circular annular disks","year":2009,"lang":"en","type":"article","venue":"Journal of Sound and Vibration","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Vibration; Boundary value problem; Normal mode; Mathematics; Isotropy; Mathematical analysis; Elasticity (physics); Modal; Boundary (topology); Stiffness; Plane (geometry); Geometry; Physics; Structural engineering; Acoustics; Optics; Engineering; Materials science","score_opus":0.00579987104572631,"score_gpt":0.20215542595612146,"score_spread":0.19635555491039514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027093557","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":[0.82852,0.0005036375,0.17050664,0.000102765596,0.00015919632,0.000027911728,0.0000034607788,0.000011835159,0.00016452852],"genre_scores_gemma":[0.99814755,0.00014216921,0.0015648594,0.00002017889,0.00011162795,1.3460657e-7,0.000004169806,0.000005647669,0.0000036552717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995407,0.000006922574,0.00025294212,0.0000354565,0.00010027389,0.00006372432],"domain_scores_gemma":[0.9998037,0.000013872492,0.000058944384,0.000063618994,0.000028850567,0.00003097077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011201514,0.000060255436,0.00012191514,0.0001167776,0.000012245465,0.00002236807,0.00004547645,0.00005075092,0.000003776906],"category_scores_gemma":[0.000021328171,0.000056256213,0.00002645809,0.00008472002,0.0000069755356,0.00037433708,0.0000024143185,0.00009713804,3.2537912e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038018312,0.00007175046,0.0026925742,0.0001620377,0.00004348625,0.000029812485,0.0011272542,0.67149115,0.3152764,0.0042231344,0.00032614535,0.0045182267],"study_design_scores_gemma":[0.002634093,0.00087375316,0.17437156,0.00025936926,0.00007081267,0.00029146872,0.00029637557,0.7366761,0.029463474,0.053852845,0.0007194587,0.0004906966],"about_ca_topic_score_codex":0.0000012222134,"about_ca_topic_score_gemma":0.0000018537726,"teacher_disagreement_score":0.2858129,"about_ca_system_score_codex":0.000017461207,"about_ca_system_score_gemma":0.000006272659,"threshold_uncertainty_score":0.22940618},"labels":[],"label_agreement":null},{"id":"W2031367009","doi":"10.1016/j.ijsolstr.2004.01.002","title":"“The elliptical Hertizian contact of transversely isotropic magnetoelectroelastic bodies” by Hou et al., Vol. 40, 2003, pp. 2833–2850","year":2004,"lang":"en","type":"article","venue":"International Journal of Solids and Structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ste. Anne's Hospital","funders":"","keywords":"Transverse isotropy; Materials science; Isotropy; Composite material; Physics; Optics","score_opus":0.0035749094420934454,"score_gpt":0.21076194363550219,"score_spread":0.20718703419340875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031367009","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":[0.8857971,0.009279393,0.09823413,0.0022925462,0.0035895878,0.00010058875,0.00011751916,0.000053767213,0.00053539994],"genre_scores_gemma":[0.99523747,0.0031265225,0.0012728297,0.00016907364,0.00013576724,8.049582e-7,0.000004983053,0.000019326715,0.0000332333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990688,0.000011388747,0.00035601776,0.00007439403,0.0003159731,0.00017341587],"domain_scores_gemma":[0.9994649,0.000053949458,0.00007350881,0.00006451229,0.00025899004,0.00008410954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000802659,0.00014099239,0.00018628177,0.00006229761,0.00003706014,0.00006753516,0.00022084241,0.000056114906,0.00001572787],"category_scores_gemma":[0.0000686185,0.00010325023,0.00007532034,0.00004837959,0.000060977276,0.00011086079,0.000009715155,0.0002995374,7.095861e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082972035,0.00012308358,0.0011470887,0.00012475363,0.0023524105,0.00022312556,0.0015826074,0.71733797,0.10822474,0.07291051,0.07270328,0.022440739],"study_design_scores_gemma":[0.017700387,0.0044381707,0.08887199,0.0009402783,0.0005263706,0.0032837947,0.0010189221,0.22552444,0.03299742,0.040714994,0.581658,0.0023252182],"about_ca_topic_score_codex":0.0000198503,"about_ca_topic_score_gemma":0.000020898777,"teacher_disagreement_score":0.5089547,"about_ca_system_score_codex":0.00006616558,"about_ca_system_score_gemma":0.000041150968,"threshold_uncertainty_score":0.42104223},"labels":[],"label_agreement":null},{"id":"W2032401882","doi":"10.1016/s0043-1648(02)00076-5","title":"Keynote address: light to heavy, snail to rocket","year":2002,"lang":"en","type":"article","venue":"Wear","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Rocket (weapon); Engineering ethics; Interface (matter); Engineering; Construction engineering; Aerospace engineering; Mechanical engineering; Aeronautics; Mechanics; Physics","score_opus":0.009046336778070114,"score_gpt":0.18845825980041253,"score_spread":0.1794119230223424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032401882","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":[0.8591164,0.001196508,0.059464473,0.0036100417,0.0028559952,0.000622971,0.0000955247,0.0039053557,0.06913273],"genre_scores_gemma":[0.99234146,0.000036686968,0.003506342,0.00026690867,0.00024708267,0.000023196522,0.000003139237,0.00006811005,0.0035070875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992716,0.0000044839,0.00012964691,0.0001533418,0.00012893694,0.00031200037],"domain_scores_gemma":[0.99944794,0.000013967938,0.00000485471,0.00029038618,0.00001404294,0.00022880627],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000041318646,0.00014493302,0.0001373714,0.000108942455,0.000031856544,0.000037621474,0.00015858102,0.000065941174,0.0001897833],"category_scores_gemma":[0.000026748752,0.00015463193,0.00004170916,0.00024691536,0.0000030791894,0.000049871083,0.000031174888,0.00012103946,0.0028342227],"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":[0.000009265078,0.000042963373,0.00006844722,0.00007401915,0.00004225813,0.000028347546,0.0018978558,0.76280177,0.019933954,0.00017792717,0.20330247,0.011620711],"study_design_scores_gemma":[0.0002921635,0.000091905094,0.0004995468,0.00008165025,0.000009718959,0.000010842281,0.000038158516,0.23613887,0.014323001,0.000026418407,0.7479737,0.000514049],"about_ca_topic_score_codex":0.00000776106,"about_ca_topic_score_gemma":0.00001285535,"teacher_disagreement_score":0.5446712,"about_ca_system_score_codex":0.00005209571,"about_ca_system_score_gemma":0.0000019536462,"threshold_uncertainty_score":0.9979422},"labels":[],"label_agreement":null},{"id":"W2034358315","doi":"10.1016/s0094-114x(01)00006-4","title":"Lateral stability and steady state curving performance of unconventional rail trucks","year":2001,"lang":"en","type":"article","venue":"Mechanism and Machine Theory","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Pacific Railway (Canada)","funders":"","keywords":"Truck; Stability (learning theory); Engineering; Suspension (topology); Compatibility (geochemistry); Structural engineering; Control theory (sociology); Automotive engineering; Computer science; Mathematics","score_opus":0.006489614869028472,"score_gpt":0.18225890086049432,"score_spread":0.17576928599146585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034358315","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":[0.958323,0.0003977886,0.04016522,0.000005650833,0.00016082244,0.00006438525,0.000041441563,0.000114295624,0.0007273937],"genre_scores_gemma":[0.9988277,0.0004356113,0.0005066477,0.000007409299,0.000016959579,0.000003893607,0.000012889969,0.000019081612,0.00016979883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994803,0.000024047258,0.00015650196,0.00011313361,0.00007587445,0.00015013054],"domain_scores_gemma":[0.999754,0.00004123423,0.000019266115,0.000114082024,0.000015824753,0.000055556087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003819727,0.00011960156,0.0001496931,0.00005265206,0.000039296945,0.000012294579,0.000050677125,0.000035225996,0.000056447305],"category_scores_gemma":[0.000008483522,0.00011277742,0.000021996137,0.000048810747,0.00003145659,0.00010051697,0.000033245342,0.00010918551,0.0000012436522],"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":[0.0008792222,0.00024997335,0.038218677,0.004501515,0.0004895051,0.000045411434,0.008558427,0.073525414,0.09856035,0.5873507,0.000029087196,0.18759169],"study_design_scores_gemma":[0.0009645543,0.00016954978,0.00810849,0.00007496329,0.000029542269,0.00005796655,0.0000958197,0.8763463,0.006154305,0.1075148,0.00013076997,0.00035293202],"about_ca_topic_score_codex":0.000008820401,"about_ca_topic_score_gemma":0.000006776257,"teacher_disagreement_score":0.8028209,"about_ca_system_score_codex":0.000012102025,"about_ca_system_score_gemma":0.000004713936,"threshold_uncertainty_score":0.459893},"labels":[],"label_agreement":null},{"id":"W2035697315","doi":"10.1139/l08-098","title":"Study on the effect of two different projects on commuter rail line capacity","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Train; Line (geometry); Bridge (graph theory); Transport engineering; Railway line; Engineering; Computer science; Geography","score_opus":0.012746192220937346,"score_gpt":0.20139041045220163,"score_spread":0.1886442182312643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035697315","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":[0.9945241,0.00013173206,0.003304523,0.00008585665,0.00070029724,0.00024291706,0.00001232282,0.000053173597,0.0009450616],"genre_scores_gemma":[0.9996862,0.0000051481657,0.00003362941,0.000025222262,0.00019175783,0.0000046568243,0.0000010453301,0.00004104497,0.000011310853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891365,0.000040738567,0.0003719186,0.00009216484,0.00023128204,0.000350224],"domain_scores_gemma":[0.9990421,0.00023756146,0.00006268874,0.00031434986,0.000043922406,0.00029935545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038792889,0.00028363516,0.00040922433,0.0003958838,0.00004722805,0.00003977762,0.00031991702,0.00006025115,0.000014013556],"category_scores_gemma":[0.00013744959,0.00019571855,0.00013932268,0.0002104944,0.000016626684,0.00006183146,0.0000047348867,0.00065832015,0.0000027702758],"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":[0.000010924409,0.00002058747,0.0011516145,0.000040560226,0.00009958913,0.00006615466,0.00072228163,0.9958982,0.0009272029,0.00023010714,0.00032212632,0.0005106753],"study_design_scores_gemma":[0.008186015,0.019003537,0.1316988,0.0031213104,0.0004208871,0.00041130657,0.00038718182,0.796859,0.03585898,0.00017397894,0.0018329956,0.0020459995],"about_ca_topic_score_codex":0.00006267154,"about_ca_topic_score_gemma":0.0031337552,"teacher_disagreement_score":0.19903918,"about_ca_system_score_codex":0.0002001632,"about_ca_system_score_gemma":0.000037334823,"threshold_uncertainty_score":0.7981171},"labels":[],"label_agreement":null},{"id":"W2035818197","doi":"10.4271/2013-01-1987","title":"Natural Vibration Analysis of A Three-Dimensional Railway Vehicle-Track System","year":2013,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Track (disk drive); Vibration; Computer science; Automotive engineering; Engineering; Acoustics; Physics; Operating system","score_opus":0.005626518226489935,"score_gpt":0.19877568341894247,"score_spread":0.19314916519245254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035818197","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":[0.9844928,0.00057200587,0.00003415886,0.00044783647,0.0004843428,0.0008024461,0.00010350566,0.0048861853,0.0081767235],"genre_scores_gemma":[0.9947667,0.000042121173,0.0042869044,0.00016995044,0.00009881923,0.00022986463,0.00015347282,0.0001337304,0.000118417105],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99636143,0.00006067536,0.0011936815,0.0007433218,0.00087686727,0.0007640429],"domain_scores_gemma":[0.9977829,0.00039514166,0.0001588548,0.0011863777,0.00016945064,0.00030729355],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003485418,0.0007096803,0.0011789257,0.0005463873,0.00016337901,0.00009603819,0.0006906041,0.00072230346,0.00026342206],"category_scores_gemma":[0.00019946424,0.0006235519,0.00069253077,0.001806606,0.00036990573,0.00055507506,0.00015991025,0.0010536427,0.00013100797],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005238982,0.00009504509,0.00020407322,0.000138468,0.00042609114,0.000012346674,0.00001368104,0.045341376,0.94587207,0.0055475156,0.0008478017,0.0014491319],"study_design_scores_gemma":[0.0004104234,0.00028656764,0.99526113,0.0001967155,0.00042607824,0.000028412207,0.000038121565,0.0014742889,0.00020452967,0.00018830875,0.000808599,0.0006768305],"about_ca_topic_score_codex":0.00007814819,"about_ca_topic_score_gemma":0.02460302,"teacher_disagreement_score":0.99505705,"about_ca_system_score_codex":0.00034905152,"about_ca_system_score_gemma":0.000039989718,"threshold_uncertainty_score":0.99962157},"labels":[],"label_agreement":null},{"id":"W2036095940","doi":"10.1115/jrc2010-36208","title":"The Canadian Pacific DGRMS: The First Use of Deployable GRMS in a Production Mode","year":2010,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"Canadian Pacific Railway (Canada)","funders":"","keywords":"Axle; Shakedown; Engineering; Mode (computer interface); Production (economics); Production system (computer science); Automotive engineering; Marine engineering; Environmental science; Computer science; Mechanical engineering; Structural engineering; Operating system","score_opus":0.006476330913460882,"score_gpt":0.171079660840337,"score_spread":0.1646033299268761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036095940","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":[0.99078023,0.000057073725,0.00094377005,0.0011416881,0.0014745507,0.00026440452,0.000008859444,0.00021164195,0.0051177554],"genre_scores_gemma":[0.99884605,0.000033368287,0.00044667738,0.0000070549777,0.000044189543,0.000019000627,0.0000017490062,0.000020698219,0.00058122433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995393,0.0000035246549,0.000115123585,0.000073324416,0.00006902642,0.00019970516],"domain_scores_gemma":[0.99956465,0.000044508382,0.000008512774,0.0003176935,0.000020894937,0.000043719945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013536992,0.000073747804,0.000059272195,0.00005712441,0.000098117845,0.00004889497,0.00011746286,0.00005511902,0.0000045488746],"category_scores_gemma":[0.00006648634,0.00004328542,0.000020276515,0.00016703557,0.000034941266,0.000085495405,0.0000062775844,0.00023223368,0.0000067471033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001623648,0.0000046237597,0.004321562,0.000015957417,0.000010301459,7.168648e-7,0.00031573707,0.98808646,0.000796161,0.003017767,0.002420592,0.0010085129],"study_design_scores_gemma":[0.000054681623,0.000005283495,0.007114003,0.000009730841,0.000003516145,0.00000575578,0.000083787774,0.9274912,0.00087477907,0.00019063598,0.06406031,0.00010634252],"about_ca_topic_score_codex":0.06993843,"about_ca_topic_score_gemma":0.908686,"teacher_disagreement_score":0.83874756,"about_ca_system_score_codex":0.000049858823,"about_ca_system_score_gemma":0.00003647343,"threshold_uncertainty_score":0.9362549},"labels":[],"label_agreement":null},{"id":"W2037806118","doi":"10.1115/1.4030345","title":"Stability Analysis of On-Board Friction Modifier Systems at the Wheel–Rail Interface","year":2015,"lang":"en","type":"article","venue":"Journal of vibration and acoustics","topic":"Railway Engineering and Dynamics","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":"University of British Columbia","funders":"","keywords":"Vibration; Stability (learning theory); Bracket; Finite element method; Engineering; Structural engineering; Frequency domain; Control theory (sociology); Mechanical engineering; Computer science; Acoustics; Control (management)","score_opus":0.019370636593342955,"score_gpt":0.22897259453444635,"score_spread":0.2096019579411034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037806118","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":[0.54850817,0.00026477815,0.45054498,0.000034544548,0.00042116936,0.000026603353,0.000013010343,0.000012569671,0.00017419668],"genre_scores_gemma":[0.99938345,0.00009783617,0.00038177942,0.000007743634,0.00006890102,5.546554e-7,0.000002549934,0.000007561221,0.000049653336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993707,0.000022438182,0.0003047162,0.000043640914,0.00019543771,0.000063062645],"domain_scores_gemma":[0.99949586,0.000076519915,0.00010604093,0.00010555696,0.0001534614,0.00006257179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029903246,0.00007154352,0.00018008487,0.000109990804,0.000024858948,0.00003268397,0.000052703657,0.00004952615,0.0000054935654],"category_scores_gemma":[0.00007506727,0.000049050454,0.000055286135,0.0002007184,0.000019044257,0.00008546416,0.000009358709,0.00012374671,8.6485574e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017441316,0.000012363344,0.00030403276,0.000025285111,0.00016937376,5.247855e-7,0.00043169182,0.989802,0.008309463,0.00006273291,0.00067337014,0.0001916999],"study_design_scores_gemma":[0.00014699348,0.00007730884,0.0019241448,0.000016108048,0.00023205293,0.000004300263,0.0005154061,0.9960338,0.00080714485,0.000013610453,0.00017973878,0.00004937448],"about_ca_topic_score_codex":0.0000036608646,"about_ca_topic_score_gemma":0.0000045243028,"teacher_disagreement_score":0.45087525,"about_ca_system_score_codex":0.000085839936,"about_ca_system_score_gemma":0.000014224162,"threshold_uncertainty_score":0.20002194},"labels":[],"label_agreement":null},{"id":"W2042708694","doi":"10.1155/2010/501902","title":"Frequency Equations for the In‐Plane Vibration of Circular Annular Disks","year":2010,"lang":"en","type":"article","venue":"Advances in Acoustics and Vibration","topic":"Railway Engineering and Dynamics","field":"Engineering","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":"Concordia University","funders":"","keywords":"Vibration; Boundary value problem; Bessel function; Mathematical analysis; Isotropy; Mathematics; Rotational symmetry; Plane (geometry); Elasticity (physics); Physics; Geometry; Mechanics; Acoustics; Optics","score_opus":0.005767748672622995,"score_gpt":0.22953094386638606,"score_spread":0.22376319519376306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042708694","genre_codex":"methods","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":[0.120455414,0.0008182395,0.8780418,0.00003040112,0.00035532843,0.00016499966,0.000028352535,0.000024894485,0.00008055213],"genre_scores_gemma":[0.9883525,0.0007263519,0.010767548,0.0000066242396,0.000052353476,0.000034480392,0.000047483736,0.000010701994,0.0000019556892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996105,0.0000037185785,0.00017199153,0.00007177227,0.000055767443,0.00008628004],"domain_scores_gemma":[0.9996641,0.00017420162,0.000024153278,0.000100860685,0.000022779179,0.000013868904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001061357,0.000065261316,0.00007567745,0.000062266576,0.000028999953,0.000015723808,0.000048473248,0.00005617443,0.0000018567247],"category_scores_gemma":[0.00010459009,0.00005683516,0.000012268607,0.00011254731,0.000022701975,0.00023498818,0.0000043301075,0.00010749706,1.950634e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015129169,0.000008359595,0.000986497,0.00007527809,0.000002788686,2.478054e-7,0.00012503196,0.8682417,0.11506201,0.010653468,0.0000017680574,0.0048413365],"study_design_scores_gemma":[0.00016003291,0.000016192605,0.0067705815,0.00001493501,0.0000073340475,6.9008166e-7,0.000045670422,0.98663235,0.0010740713,0.0051210467,0.00008744484,0.00006962968],"about_ca_topic_score_codex":0.0000063682114,"about_ca_topic_score_gemma":0.00013556083,"teacher_disagreement_score":0.8678971,"about_ca_system_score_codex":0.000009439121,"about_ca_system_score_gemma":0.000007680758,"threshold_uncertainty_score":0.23176706},"labels":[],"label_agreement":null},{"id":"W2043614033","doi":"10.1080/00423114.2011.575945","title":"A 3D model for rubber tyres contact, based on Kalker's methods through the STRIPES model","year":2011,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":7,"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":"McMaster University","keywords":"Contact patch; Engineering; Torque; Rut; Contact force; Coupling (piping); Natural rubber; Contact mechanics; Brush; Structural engineering; Track (disk drive); Rolling resistance; Contact area; Vehicle dynamics; Contact geometry; Shear (geology); Mechanical engineering; Tread; Finite element method; Automotive engineering; Materials science; Asphalt; Physics; Geometry","score_opus":0.029086524231150226,"score_gpt":0.25209454525703556,"score_spread":0.22300802102588535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043614033","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008936044,0.000116184194,0.97791207,0.000028827,0.0004727105,0.0005871379,0.0002987329,0.000932487,0.010715811],"genre_scores_gemma":[0.80566585,0.000008058099,0.19355652,0.00006307861,0.000053983727,0.00016737003,0.000034286408,0.00013104141,0.00031983267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985093,0.000053542717,0.00041755816,0.00030735796,0.0002134449,0.0004988117],"domain_scores_gemma":[0.9988212,0.00023335595,0.00006906871,0.0006982024,0.00008463145,0.00009353366],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042684044,0.00036826078,0.0003809635,0.000075057804,0.00024172079,0.00010151754,0.00039846395,0.00022179908,0.0000019036103],"category_scores_gemma":[0.000034704746,0.000289462,0.00019125547,0.00018081475,0.000032182055,0.00014655571,0.00002786877,0.000274504,0.000009260902],"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":[0.00003662562,0.000025581565,0.00002341959,0.00029638043,0.00006512248,0.0000017253246,0.0005248471,0.9707977,0.00014091401,0.026237132,0.00013320273,0.0017173612],"study_design_scores_gemma":[0.0005214188,0.000060191767,0.000025918118,0.00011591034,0.00006454713,0.00000399387,0.00021121654,0.9976966,0.00015530533,0.0006902638,0.00009788713,0.00035674233],"about_ca_topic_score_codex":0.00006846696,"about_ca_topic_score_gemma":0.00006942631,"teacher_disagreement_score":0.7967298,"about_ca_system_score_codex":0.00033158643,"about_ca_system_score_gemma":0.000051994622,"threshold_uncertainty_score":0.9999558},"labels":[],"label_agreement":null},{"id":"W2043691662","doi":"10.1115/imece2008-68201","title":"On-Track Measurement of Lateral/Vertical Wheel Loads of Running Railway Vehicles Based on the Neural Network","year":2008,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Flange; Strain gauge; Track (disk drive); Artificial neural network; Sensitivity (control systems); Contact force; Structural engineering; Position (finance); Reliability (semiconductor); Range (aeronautics); System of measurement; Engineering; Simulation; Computer science; Mechanical engineering; Power (physics); Electronic engineering; Artificial intelligence; Physics","score_opus":0.017531724986551023,"score_gpt":0.1907432233436083,"score_spread":0.17321149835705726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043691662","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":[0.9830713,0.00007353466,0.012461736,0.0001574076,0.00024832846,0.00011628497,0.0000029945375,0.00019621827,0.0036721842],"genre_scores_gemma":[0.99905676,0.000008967135,0.00070403557,0.00009597012,0.00005480323,0.000005845985,0.0000019515276,0.00003159844,0.000040073424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988819,0.000018868199,0.00027886947,0.0001147078,0.0004510855,0.0002545771],"domain_scores_gemma":[0.9994276,0.00015359634,0.000017884944,0.00029425242,0.0000492728,0.0000573597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024137417,0.00016466234,0.00020883832,0.000049839236,0.000043351185,0.000008565423,0.00017888167,0.00006755359,0.000047501373],"category_scores_gemma":[0.00003766108,0.00011511933,0.00009686429,0.00015143285,0.00004982778,0.000030657986,0.000013307368,0.00019832933,0.0000089237865],"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":[0.000028126933,0.00003608447,0.0017775184,0.00003482767,0.00002798665,0.000003611181,0.000041779902,0.99176496,0.0031151809,0.0013014912,0.001674772,0.00019363132],"study_design_scores_gemma":[0.00031093968,0.00011066209,0.011036064,0.000100837664,0.00001044218,0.0000020424447,0.0000058718506,0.979938,0.008166341,0.00004877153,0.00013346587,0.00013656459],"about_ca_topic_score_codex":0.000007916801,"about_ca_topic_score_gemma":0.0000034603556,"teacher_disagreement_score":0.015985442,"about_ca_system_score_codex":0.000046383713,"about_ca_system_score_gemma":0.000013135808,"threshold_uncertainty_score":0.469443},"labels":[],"label_agreement":null},{"id":"W2043734821","doi":"10.1016/j.ijsolstr.2013.07.023","title":"Influence of partial constrained layer damping on the bending wave propagation in an impacted viscoelastic sandwich","year":2013,"lang":"en","type":"article","venue":"International Journal of Solids and Structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Viscoelasticity; Wave propagation; Fourier transform; Frequency domain; Materials science; Parametric statistics; Bending stiffness; Mechanics; Transient response; Bending; Fourier series; Boundary value problem; Acoustics; Mathematical analysis; Physics; Optics; Mathematics; Engineering; Composite material","score_opus":0.009814750683955351,"score_gpt":0.240975578055943,"score_spread":0.23116082737198765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043734821","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":[0.997405,0.000026032909,0.002174941,0.00008129231,0.00018394929,0.0000487728,0.000006966884,0.0000085775055,0.000064449974],"genre_scores_gemma":[0.9995243,0.000018174662,0.00031557604,0.000019636826,0.00011079008,0.0000012853612,0.000002009569,0.000007311079,9.2191067e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994185,0.000013485567,0.00026140714,0.000045348123,0.00017697045,0.00008426643],"domain_scores_gemma":[0.9996473,0.000074629665,0.000076855766,0.000042698695,0.000121075966,0.000037400278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008622915,0.00007722657,0.000104292434,0.00012990876,0.000015862122,0.000056251767,0.000102485654,0.000036226473,0.000016005188],"category_scores_gemma":[0.000076940596,0.00005089487,0.000023512017,0.00004536418,0.000033481498,0.00020407811,0.000008822257,0.00016598224,2.1854252e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002095507,0.0000072171024,0.003351612,0.00001182472,0.000054250224,0.0000074409336,0.00058401877,0.9245333,0.06544711,0.0039738268,0.0000067726633,0.0020016755],"study_design_scores_gemma":[0.0005333144,0.00013872457,0.40341857,0.0002078989,0.000010546697,0.000107029715,0.00019898232,0.581775,0.010178436,0.0032991047,0.000010066917,0.00012231755],"about_ca_topic_score_codex":0.000009357389,"about_ca_topic_score_gemma":0.0000030770711,"teacher_disagreement_score":0.40006697,"about_ca_system_score_codex":0.000029358804,"about_ca_system_score_gemma":0.000014124283,"threshold_uncertainty_score":0.20754325},"labels":[],"label_agreement":null},{"id":"W2045606788","doi":"10.1115/jrc2008-63023","title":"Dynamic Analysis of Pitch Plane Railway Vehicle-Track Interactions Due to Single and Multiple Wheel Flats","year":2008,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Concordia University","funders":"","keywords":"Ballast; Track (disk drive); Parametric statistics; Critical speed; Plane (geometry); Structural engineering; Vehicle dynamics; Phase (matter); Contact force; Nonlinear system; Automotive engineering; Engineering; Mechanical engineering; Physics; Electrical engineering; Geometry","score_opus":0.009068593783033773,"score_gpt":0.20785403315130582,"score_spread":0.19878543936827206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045606788","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":[0.9318352,0.000076676195,0.06620451,0.000031026255,0.00016822405,0.00007766383,0.000053175034,0.00029078327,0.0012627661],"genre_scores_gemma":[0.9931743,0.00003486972,0.0060693203,0.000015095658,0.000013539477,0.0000045989723,0.000047101534,0.000029405155,0.0006117375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925214,0.000006906395,0.00025383642,0.0001730146,0.00011012518,0.00020400378],"domain_scores_gemma":[0.9994586,0.00012404523,0.000019965364,0.00023925806,0.00003572787,0.00012239338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044812015,0.0001555528,0.0003102125,0.00042153525,0.00004473656,0.000014446829,0.00008621914,0.000060231505,0.000047815232],"category_scores_gemma":[0.00003457939,0.00015978927,0.00008134204,0.0006155584,0.000022920136,0.00010592548,0.000024093782,0.00012413324,0.000019584528],"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":[0.000008440061,0.000042301523,0.0034656352,0.000030466226,0.0003901602,0.000014503371,0.00053914625,0.9195298,0.0742995,0.000018229675,0.00021895577,0.0014428962],"study_design_scores_gemma":[0.00017710765,0.000030969426,0.047683127,0.000013232832,0.00010735816,0.000026285834,0.000072002586,0.9489877,0.0022823447,0.000003363551,0.00043088963,0.00018559225],"about_ca_topic_score_codex":0.00008657139,"about_ca_topic_score_gemma":0.0007242054,"teacher_disagreement_score":0.072017156,"about_ca_system_score_codex":0.000056795103,"about_ca_system_score_gemma":0.000005374778,"threshold_uncertainty_score":0.65160173},"labels":[],"label_agreement":null},{"id":"W2046312737","doi":"10.1115/jrc2012-74013","title":"Design of Flangeway Gap for Restraining Rail","year":2012,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Context (archaeology); Light rail; Point (geometry); Structural engineering; Engineering; Automotive engineering; Computer science; Transport engineering; Mathematics; Geometry; Public transport; Geology","score_opus":0.039750186465293345,"score_gpt":0.23335293393835285,"score_spread":0.1936027474730595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046312737","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012614891,0.00024003154,0.9794517,0.0000065747063,0.0003035255,0.000099005,0.0000051135803,0.00027586566,0.007003252],"genre_scores_gemma":[0.8957078,0.000011943989,0.10377445,0.000005689427,0.00010031244,0.000016471697,0.000005088749,0.000027796075,0.00035048812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996017,0.0000033898689,0.00010571641,0.000039752143,0.000045881945,0.00020354883],"domain_scores_gemma":[0.9997409,0.00008922145,0.000008361886,0.000099581186,0.000012342315,0.00004957256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015477816,0.000070564776,0.00009107,0.000040644212,0.000010394558,0.000004155656,0.00005218383,0.000044526972,0.000017410304],"category_scores_gemma":[0.000023822568,0.000066672765,0.00002791804,0.000050813116,0.000007237642,0.00006455613,0.000004239454,0.00003822208,0.0000073220217],"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":[0.000006162399,0.000011669394,0.00017283767,0.00012545964,0.00003682695,2.0999788e-7,0.00062663667,0.9651028,0.022608623,0.004603818,0.0021890197,0.004515971],"study_design_scores_gemma":[0.00027328634,0.00003689309,0.00040411274,0.000020373234,0.000013625006,0.0000038350327,0.00008363688,0.98441136,0.011153337,0.00014725093,0.003268459,0.00018384653],"about_ca_topic_score_codex":0.0000012624255,"about_ca_topic_score_gemma":2.7370712e-7,"teacher_disagreement_score":0.8830929,"about_ca_system_score_codex":0.0000127798685,"about_ca_system_score_gemma":0.000003899604,"threshold_uncertainty_score":0.27188364},"labels":[],"label_agreement":null},{"id":"W2046784001","doi":"10.1139/t10-066","title":"A new parameter for classification and evaluation of railway ballast fouling","year":2011,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"CRC for Rail Innovation","keywords":"Ballast; Gradation; Fouling; Geotechnical engineering; Track (disk drive); Engineering; Marine engineering; Environmental science; Forensic engineering; Computer science; Mechanical engineering; Artificial intelligence","score_opus":0.04466710531488402,"score_gpt":0.23971038203585956,"score_spread":0.19504327672097554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046784001","genre_codex":"methods","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":[0.14894454,0.0005437666,0.8487649,0.000107391075,0.00041266205,0.00027582675,0.000020464016,0.0000759037,0.00085452973],"genre_scores_gemma":[0.9803326,0.000037307316,0.019481847,0.000013556504,0.00008702342,0.000008065722,0.0000037219481,0.000020597474,0.000015266567],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993667,0.000011571277,0.00021757149,0.000079669306,0.00012580809,0.00019865122],"domain_scores_gemma":[0.9993592,0.00004051082,0.00003324485,0.000106262094,0.000102854014,0.00035791282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046991528,0.00008313127,0.000111187226,0.00016126268,0.000040616378,0.000021666956,0.00009142275,0.0001179351,0.000040913234],"category_scores_gemma":[0.00015518106,0.000085252796,0.00004752923,0.00008292272,0.000017587558,0.00007345123,0.0000037113039,0.00017927284,0.000001580418],"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":[0.00002825321,0.000014775009,0.0006387517,0.00009565525,0.00015698312,0.0000062520917,0.0006200265,0.4599497,0.005419699,0.0039385646,0.004289475,0.5248419],"study_design_scores_gemma":[0.0003393884,0.000040972638,0.008432937,0.000035086057,0.000051694824,0.000057331858,0.000027792195,0.98645854,0.00013412317,0.0025741942,0.0017392217,0.000108700646],"about_ca_topic_score_codex":0.00046179877,"about_ca_topic_score_gemma":0.00093498005,"teacher_disagreement_score":0.83138806,"about_ca_system_score_codex":0.00015382607,"about_ca_system_score_gemma":0.0001902125,"threshold_uncertainty_score":0.34765083},"labels":[],"label_agreement":null},{"id":"W2048683157","doi":"10.1016/s1007-0214(08)70129-9","title":"Computer simulation of dynamic interactions between vehicle and long span box girder bridges","year":2008,"lang":"en","type":"article","venue":"Tsinghua Science & Technology","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":12,"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 Ottawa","funders":"","keywords":"Bridge (graph theory); Box girder; Structural engineering; Span (engineering); Engineering; Axle; Finite element method; Girder; Beam bridge","score_opus":0.009548851398213244,"score_gpt":0.24388656642814702,"score_spread":0.23433771502993378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048683157","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":[0.69240975,0.000051219227,0.30682957,0.000073429546,0.00013361382,0.000041557385,0.0000027820802,0.00038323933,0.00007484866],"genre_scores_gemma":[0.99530846,0.00001981611,0.0045943665,0.000004176856,0.000021563706,0.0000018141772,0.000002159536,0.00001420198,0.000033445318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993173,0.0000032523596,0.00016848024,0.0001817731,0.00009979093,0.00022943935],"domain_scores_gemma":[0.99962294,0.000043602362,0.00003007453,0.00021004362,0.00005124666,0.000042114254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000840098,0.00010008568,0.00014901308,0.00078837184,0.00012479216,0.000015076998,0.00018411096,0.0000757505,0.0000023092302],"category_scores_gemma":[0.000027913964,0.00010740172,0.000018031396,0.0010112514,0.0006028126,0.000209764,0.00006348796,0.00016910418,0.0000059894537],"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":[7.8269136e-7,0.000008844161,0.020962166,0.000017372555,0.000007241358,0.000004003795,0.00017619757,0.94507843,0.009707339,0.00013877399,0.000005379225,0.023893453],"study_design_scores_gemma":[0.00008615789,0.000030500409,0.07886771,0.000022266762,0.0000053738363,0.000029819968,0.000022617403,0.91813636,0.0024754559,0.000098827455,0.00012283576,0.00010210393],"about_ca_topic_score_codex":0.000007936937,"about_ca_topic_score_gemma":0.000007655872,"teacher_disagreement_score":0.3028987,"about_ca_system_score_codex":0.00008151603,"about_ca_system_score_gemma":0.000020426873,"threshold_uncertainty_score":0.4379715},"labels":[],"label_agreement":null},{"id":"W2049430668","doi":"10.1007/s11071-009-9639-0","title":"Internal-external resonance of beams on non-linear viscoelastic foundation traversed by moving load","year":2010,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vibration; Galerkin method; Moving load; Harmonics; Beam (structure); Viscoelasticity; Multiple-scale analysis; Resonance (particle physics); Parametric oscillator; Stiffness; Parametric statistics; Mechanics; Physics; Mathematics; Nonlinear system; Structural engineering; Engineering; Acoustics","score_opus":0.0036290803972636476,"score_gpt":0.2089918220826729,"score_spread":0.20536274168540924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049430668","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":[0.6600763,0.000026592066,0.3366515,0.000012971056,0.0012399021,0.0001038045,0.00012073805,0.00018165217,0.0015864893],"genre_scores_gemma":[0.9697231,0.000057214544,0.029065317,0.000021044742,0.00027664952,0.000007374854,0.00014568854,0.00010180761,0.00060179527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873954,0.00000778018,0.00037737878,0.00023459173,0.00033787536,0.0003028308],"domain_scores_gemma":[0.9992852,0.00008804209,0.00007212911,0.00036177228,0.00008969502,0.00010314294],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016368544,0.00025876376,0.00025775025,0.00010698445,0.000041182175,0.000032399825,0.00027809615,0.00018298226,0.00003369481],"category_scores_gemma":[0.00007711371,0.0002776808,0.00009618152,0.00015498247,0.000060335613,0.00012327831,0.000028490102,0.0006371753,0.000072409784],"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":[0.000085837426,0.00015813138,0.0009447294,0.00020606794,0.00006207487,0.000014501783,0.00026869422,0.8690668,0.07337799,0.0006609015,0.00017654024,0.05497776],"study_design_scores_gemma":[0.00049361034,0.000089703455,0.0009137308,0.000104162355,0.000015623022,0.000009239302,0.000019183683,0.9932948,0.003325039,0.000035756693,0.001442627,0.0002565235],"about_ca_topic_score_codex":0.00006151779,"about_ca_topic_score_gemma":0.00012273928,"teacher_disagreement_score":0.30964676,"about_ca_system_score_codex":0.00017460209,"about_ca_system_score_gemma":0.000042468848,"threshold_uncertainty_score":0.9999675},"labels":[],"label_agreement":null},{"id":"W2051759511","doi":"10.1243/09544097jrrt366","title":"Implementation of Distributed Power and Friction Control to Minimize the Stress State and Maximize Velocity in Canadian Pacific's Heavy Haul/Heavy Grade Operations","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"L.B. Foster Rail Technologies (Canada); Canadian Pacific Railway (Canada)","funders":"","keywords":"Tonnage; Track (disk drive); Leverage (statistics); Engineering; Power (physics); State (computer science); Automotive engineering; Marine engineering; Mechanical engineering; Computer science; Geology","score_opus":0.00498476422932646,"score_gpt":0.1981212209058801,"score_spread":0.19313645667655366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051759511","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":[0.9748277,0.00014753379,0.023086276,0.0011930079,0.0003133808,0.0002045655,0.00020427127,0.000007911398,0.000015364049],"genre_scores_gemma":[0.9984773,0.00025936097,0.001217709,0.000009471074,0.000019652876,0.0000046315813,0.0000020945572,0.000007997743,0.000001821382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991678,0.0000065676645,0.00041945677,0.00008136309,0.00015900585,0.00016579051],"domain_scores_gemma":[0.9995371,0.000035201447,0.0000749686,0.000048447608,0.00014748784,0.00015680533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042652144,0.00012080146,0.00025411206,0.0001414001,0.00006368503,0.000020955587,0.00009956621,0.00007503698,0.0000044643375],"category_scores_gemma":[0.000063049774,0.00008486292,0.000052832318,0.00019290442,0.000073411626,0.00016574093,0.0000081124645,0.00027224844,4.3655888e-8],"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":[0.00054874073,0.00018451018,0.0054320716,0.0008131659,0.0005642728,0.0000041746157,0.0070505347,0.7379852,0.21941979,0.01972637,0.00026948933,0.00800169],"study_design_scores_gemma":[0.012020159,0.000898753,0.13868585,0.0010393427,0.0005551377,0.0003140059,0.008144853,0.6421216,0.19163835,0.0006812348,0.0029710315,0.0009296555],"about_ca_topic_score_codex":0.0006030875,"about_ca_topic_score_gemma":0.0011027782,"teacher_disagreement_score":0.13325378,"about_ca_system_score_codex":0.000031112155,"about_ca_system_score_gemma":0.000053097167,"threshold_uncertainty_score":0.34606093},"labels":[],"label_agreement":null},{"id":"W2052279143","doi":"10.1115/detc2008-49686","title":"Random Fatigue Failure of MD36 and MD523 Bogie Frames Due to Rail Corrugations","year":2008,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Bogie; Vibration fatigue; Structural engineering; Random vibration; Parametric statistics; Finite element method; Track (disk drive); Monte Carlo method; Spectral density; Engineering; Acoustics; Mathematics; Physics; Vibration; Mechanical engineering","score_opus":0.011924972806755243,"score_gpt":0.2036898394517278,"score_spread":0.19176486664497255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052279143","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":[0.55463713,0.00023283741,0.44047776,0.00015280966,0.0001745831,0.00014184827,0.000023259317,0.00039277572,0.0037669942],"genre_scores_gemma":[0.97498125,0.00008724174,0.024340305,0.000025187446,0.00003408068,0.000013508767,0.00000943471,0.000024583323,0.00048438323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994866,0.0000050385856,0.000167516,0.00009909932,0.00009176901,0.00014998042],"domain_scores_gemma":[0.9996131,0.00009110524,0.000010244327,0.00016275594,0.000032150932,0.00009062092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004370962,0.000115740906,0.00019492274,0.000092482565,0.00003950178,0.000010207617,0.00007010022,0.000068879206,0.00003891489],"category_scores_gemma":[0.00005947407,0.000109580054,0.00003583077,0.00016044479,0.000027048523,0.00006588642,0.000016524025,0.00009166875,0.000012841544],"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":[0.0000100995,0.000015612664,0.0012940695,0.00008535594,0.000050130297,0.00001083223,0.001050184,0.98073125,0.0030870195,0.0013163924,0.010374652,0.001974405],"study_design_scores_gemma":[0.0025511777,0.00010503427,0.020948084,0.0001044697,0.000038051647,0.00012765062,0.0004561444,0.9529168,0.0076574804,0.00032679786,0.014009155,0.00075916783],"about_ca_topic_score_codex":0.00002312214,"about_ca_topic_score_gemma":0.000033372537,"teacher_disagreement_score":0.42034414,"about_ca_system_score_codex":0.000013808683,"about_ca_system_score_gemma":0.000010453619,"threshold_uncertainty_score":0.4468545},"labels":[],"label_agreement":null},{"id":"W2053384187","doi":"10.3233/sav-2010-0578","title":"In-Plane free Vibration Analysis of an Annular Disk with Point Elastic Support","year":2011,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Point (geometry); Vibration; Plane (geometry); Physics; Geometry; Mathematics; Acoustics","score_opus":0.07446393019732492,"score_gpt":0.40553781450442394,"score_spread":0.33107388430709905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053384187","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":[0.97060096,0.00067775504,0.025897397,0.0000067757423,0.00022417058,0.00017649286,0.0001220606,0.00006858612,0.0022257732],"genre_scores_gemma":[0.9973207,0.00061953784,0.0018451114,0.000017186812,0.0000357993,0.000013754549,0.0000616604,0.000054535012,0.000031710504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9983644,0.000051106777,0.00067969004,0.00024309084,0.0003824561,0.0002792863],"domain_scores_gemma":[0.9988106,0.00007471306,0.00023585811,0.0005812823,0.00011522161,0.0001823389],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004905062,0.00025882805,0.00071460876,0.0014880887,0.000036963847,0.00016727076,0.0012239795,0.00009369713,0.0026016098],"category_scores_gemma":[0.00006443215,0.00023399509,0.000111087196,0.0015942338,0.000048803744,0.002047172,0.00013048746,0.00025776788,0.0000031336203],"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":[0.00019614026,0.0002876718,0.3117341,0.00018758126,0.0014405142,0.00014083034,0.00096594024,0.64452434,0.038032997,0.00016356292,0.0009560584,0.0013702448],"study_design_scores_gemma":[0.00046948512,0.000042454987,0.8902329,0.00012287572,0.0005150078,0.000013259166,0.000071719485,0.09331164,0.013908051,0.00080182444,0.00009504198,0.00041572185],"about_ca_topic_score_codex":0.00055095745,"about_ca_topic_score_gemma":0.00042565103,"teacher_disagreement_score":0.57849884,"about_ca_system_score_codex":0.000061915416,"about_ca_system_score_gemma":0.00003702668,"threshold_uncertainty_score":0.99831015},"labels":[],"label_agreement":null},{"id":"W2055487532","doi":"10.1007/bf02427958","title":"Surface profiling using sequential sampling and inverse methods. Part I: Mathematical background","year":2004,"lang":"en","type":"article","venue":"Experimental Mechanics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Profiling (computer programming); Solid mechanics; Inverse problem; Inverse; Sampling (signal processing); Mathematics; Computer science; Materials science; Mathematical analysis; Geometry; Composite material; Computer vision","score_opus":0.06817309855659341,"score_gpt":0.3316503584595943,"score_spread":0.26347725990300086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055487532","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48702657,0.00042394572,0.5116124,0.0000027331414,0.00048528006,0.00010649279,0.0000070641595,0.00023054023,0.00010493377],"genre_scores_gemma":[0.42424,0.00002374264,0.5755651,0.000012634469,0.000074581985,0.000005718367,0.00000776865,0.0000615514,0.0000089178675],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990475,0.0000196549,0.0002496162,0.00022136717,0.00014157593,0.00032026603],"domain_scores_gemma":[0.9996091,0.00003192268,0.000024296485,0.0001857032,0.000013220874,0.00013574239],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021610475,0.00023295889,0.00022430891,0.00004510795,0.00008725646,0.000070569724,0.00008969866,0.000118213335,0.000025151101],"category_scores_gemma":[0.0000124180515,0.00025654119,0.00005431838,0.0001116511,0.000020443005,0.00016957354,0.000070170834,0.00018474074,0.000014734405],"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":[0.0000037407642,0.000023442106,0.0000015159407,0.000057481022,0.00002951266,0.000005657327,0.00037202807,0.41595152,0.5644152,0.019050412,0.0000020855734,0.00008738674],"study_design_scores_gemma":[0.00029951052,0.00002499343,2.2758003e-7,0.000052687297,0.000013385725,0.000050881823,0.00080813194,0.5871799,0.40881735,0.002463236,0.00006299691,0.00022672112],"about_ca_topic_score_codex":0.000008912229,"about_ca_topic_score_gemma":0.0000010566051,"teacher_disagreement_score":0.17122836,"about_ca_system_score_codex":0.00024306883,"about_ca_system_score_gemma":0.000018297822,"threshold_uncertainty_score":0.9999887},"labels":[],"label_agreement":null},{"id":"W2056047361","doi":"10.1016/j.finel.2011.03.020","title":"A new FEM approach for analysis of beams with relative movements of masses","year":2011,"lang":"en","type":"article","venue":"Finite Elements in Analysis and Design","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Finite element method; Structural engineering; Engineering","score_opus":0.030798211323170684,"score_gpt":0.227849166313779,"score_spread":0.19705095499060832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056047361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02862121,0.00011779356,0.9699928,4.0924613e-7,0.000009158888,0.00016582992,0.000055682704,0.000019608262,0.0010174689],"genre_scores_gemma":[0.6566689,0.00005651057,0.3430303,0.0000024795133,0.0000032802548,0.000019904639,0.00007391439,0.0000125249835,0.00013218743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908704,0.00001929722,0.00041306528,0.00017477546,0.00014273584,0.00016308945],"domain_scores_gemma":[0.99950886,0.00009588298,0.000106314095,0.0001933058,0.00004445863,0.000051183313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002584311,0.0001450301,0.0005066675,0.0009826284,0.000014174827,0.000007254089,0.000094453164,0.000051938994,0.000031538628],"category_scores_gemma":[0.000017968829,0.00012545887,0.0001364117,0.0021272514,0.000017464106,0.000079260084,0.000012547394,0.00005407644,1.1999109e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005071237,0.00006397661,0.09139542,0.00005393941,0.009935001,5.4530994e-7,0.00085637573,0.895617,0.00010071103,0.00033089097,0.000010859496,0.0015845558],"study_design_scores_gemma":[0.0005088888,0.00013268336,0.03128292,0.000013535696,0.0033630216,4.052858e-8,0.00016408089,0.96345973,0.0007708031,0.00014426673,0.000015448686,0.00014458438],"about_ca_topic_score_codex":0.00009682196,"about_ca_topic_score_gemma":0.00003664923,"teacher_disagreement_score":0.6280477,"about_ca_system_score_codex":0.000020505706,"about_ca_system_score_gemma":0.00001104418,"threshold_uncertainty_score":0.51160645},"labels":[],"label_agreement":null},{"id":"W2056724241","doi":"10.1115/jrc2010-36050","title":"Spiral Length Design","year":2010,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Spiral (railway); Rotation (mathematics); Elevation (ballistics); Jerk; Acceleration; Mathematics; Geometry; Twist; Current (fluid); Physics; Mathematical analysis; Geodesy; Classical mechanics; Geology","score_opus":0.0077320984021692196,"score_gpt":0.18359783002384047,"score_spread":0.17586573162167127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056724241","genre_codex":"methods","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":[0.20650017,0.000021302132,0.7420074,0.000016764116,0.0011662099,0.000053160413,0.0000016038414,0.0014863757,0.048747007],"genre_scores_gemma":[0.94976187,0.000004878665,0.049397014,0.000014070066,0.00009791828,0.0000039180954,0.0000014143575,0.000023148234,0.0006957517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970585,0.0000014510591,0.000059865444,0.00005371772,0.000044755256,0.00013433605],"domain_scores_gemma":[0.99979305,0.000017733913,0.000002234487,0.00013223013,0.0000065993413,0.00004817507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051513467,0.00006950918,0.000052093445,0.00003108929,0.000013000105,0.000015770747,0.000069398964,0.00005156731,0.00011349993],"category_scores_gemma":[0.000009443912,0.00006396775,0.000019783802,0.00005075991,0.000007602531,0.00004630922,0.000005077544,0.00015917569,0.00014417057],"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":[0.0000015387591,0.000010623539,0.00025056605,0.000020039546,0.000021137746,0.0000065275485,0.000070894166,0.8960749,0.067631416,0.0102822,0.0059094424,0.019720731],"study_design_scores_gemma":[0.00008397551,0.000009983139,0.0006483259,0.000001355942,0.000002476843,0.000007223435,0.0000041867033,0.9837862,0.005705329,0.00018925981,0.009428343,0.0001332943],"about_ca_topic_score_codex":0.0000021498681,"about_ca_topic_score_gemma":0.000005061585,"teacher_disagreement_score":0.7432617,"about_ca_system_score_codex":0.0000054123075,"about_ca_system_score_gemma":0.0000034223258,"threshold_uncertainty_score":0.26085293},"labels":[],"label_agreement":null},{"id":"W2059375023","doi":"10.1115/jrc2012-74035","title":"Automated Train Brake Effectiveness (ATBE) Test Process at Canadian Pacific","year":2012,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"Canadian Sport Centre Pacific","funders":"","keywords":"Train; Brake; Track (disk drive); Process (computing); Automotive engineering; Engineering; Air brake; Test (biology); Computer science; Aeronautics; Mechanical engineering","score_opus":0.004313232340888828,"score_gpt":0.1946151283954866,"score_spread":0.19030189605459777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059375023","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":[0.93670774,0.00021097042,0.0023717617,0.000021150494,0.00074125157,0.00024457465,0.000078467754,0.0042894096,0.055334654],"genre_scores_gemma":[0.9990465,0.0000048982483,0.00021276707,0.0000104175915,0.000077607896,0.000034681394,0.00004248643,0.00006570666,0.00050493894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990662,0.0000112199405,0.00012246268,0.0001169743,0.00009594732,0.00058720604],"domain_scores_gemma":[0.9992878,0.0001001999,0.000007695474,0.00017749422,0.000022612128,0.00040418515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016890434,0.00019029027,0.00015554877,0.00013082026,0.00007027448,0.000025879197,0.00010412172,0.000119604745,0.0000886597],"category_scores_gemma":[0.00004201512,0.00018517431,0.000037542926,0.0002562021,0.00001659646,0.00014928807,0.0000069005537,0.00011516421,0.0002126182],"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":[0.0000101728665,0.00011618557,0.13877492,0.0013979321,0.0001742845,0.000045509063,0.0023715748,0.82984674,0.014098637,0.0010747695,0.0072923424,0.004796959],"study_design_scores_gemma":[0.0002871741,0.00002070079,0.1181554,0.000044940556,0.000014232236,0.000058837602,0.00008764677,0.8730278,0.0030967447,0.000014139598,0.0047034053,0.0004889496],"about_ca_topic_score_codex":0.0012143629,"about_ca_topic_score_gemma":0.005945103,"teacher_disagreement_score":0.062338736,"about_ca_system_score_codex":0.00032894785,"about_ca_system_score_gemma":0.000030965417,"threshold_uncertainty_score":0.7551189},"labels":[],"label_agreement":null},{"id":"W2064359606","doi":"10.1177/0954409712447170","title":"Friction management on a Chinese heavy haul coal line","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","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":"L.B. Foster Rail Technologies (Canada)","funders":"","keywords":"Tonnage; Lubrication; Rail network; Coal; RADIUS; Engineering; Automotive engineering; Mechanical engineering; Geology; Computer science; Transport engineering","score_opus":0.0074092351542981265,"score_gpt":0.19454840479283822,"score_spread":0.1871391696385401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064359606","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":[0.9192294,0.0016300753,0.07424463,0.0003665677,0.0025880947,0.00022569895,0.000020513213,0.00008805324,0.0016069474],"genre_scores_gemma":[0.99631894,0.00087988377,0.002532478,0.000016114718,0.00021278203,0.0000026540617,8.6689465e-7,0.000016751203,0.000019535744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998929,0.000003824233,0.00048249937,0.00007343751,0.00031702963,0.00019419687],"domain_scores_gemma":[0.9995589,0.000023909615,0.000121873,0.000063390944,0.00010317877,0.0001287213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042108976,0.00017694272,0.00031122967,0.0001674405,0.000045897938,0.000009641068,0.00016174011,0.00010180188,0.000005961269],"category_scores_gemma":[0.000035185967,0.00012064129,0.00015938483,0.00025251438,0.000047719874,0.00024279053,0.000014941552,0.0002963415,6.5154256e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051330373,0.00044701467,0.00025567546,0.001948126,0.0007787944,0.0000028436323,0.00086726656,0.87110704,0.042672895,0.07218043,0.0008108378,0.008415783],"study_design_scores_gemma":[0.01343268,0.0033968166,0.010262664,0.006013816,0.0017943635,0.0012280775,0.0013023446,0.66651845,0.24443725,0.0027949752,0.046710458,0.0021081166],"about_ca_topic_score_codex":6.8413675e-7,"about_ca_topic_score_gemma":1.2411219e-7,"teacher_disagreement_score":0.20458859,"about_ca_system_score_codex":0.000037901566,"about_ca_system_score_gemma":0.000008249163,"threshold_uncertainty_score":0.4919609},"labels":[],"label_agreement":null},{"id":"W2064581228","doi":"10.1016/j.engstruct.2011.03.012","title":"A modified numerical VBI element for vehicles with constant velocity including road irregularities","year":2011,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bridge (graph theory); Degrees of freedom (physics and chemistry); Contact force; Displacement (psychology); Interpolation (computer graphics); Acceleration; Moving load; Computer science; Structural engineering; Beam (structure); Finite element method; Engineering; Mechanical engineering; Physics; Classical mechanics","score_opus":0.0166577417207535,"score_gpt":0.20460926511611816,"score_spread":0.18795152339536467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064581228","genre_codex":"methods","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":[0.23681715,0.00045836062,0.7598234,0.000012098351,0.00054535014,0.00032386242,0.00008088112,0.0012824006,0.0006565398],"genre_scores_gemma":[0.9051152,0.000014826679,0.094504505,0.000013434528,0.00011987723,0.00008639127,0.00002281869,0.00010072582,0.000022210517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987547,0.0000060404486,0.00027713747,0.00024971893,0.00019411847,0.00051830686],"domain_scores_gemma":[0.9994763,0.00005090733,0.000029692459,0.0002672468,0.000045156743,0.00013068932],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009362459,0.00036510135,0.00032827878,0.00014811006,0.00008863119,0.000047667512,0.00021060344,0.00012329059,0.000013699084],"category_scores_gemma":[0.000029646431,0.00033400898,0.00008298375,0.00016310954,0.000039363767,0.0001158124,0.000033199038,0.00024144235,0.0000012976569],"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":[0.000033314132,0.000009310048,0.000060948685,0.00024895492,0.00016550277,0.000009714751,0.0006997812,0.97492003,0.0013228195,0.019712828,0.00012338665,0.002693377],"study_design_scores_gemma":[0.0006691013,0.000104031584,0.0052345744,0.00007912905,0.000046816767,0.00003210204,0.00010191243,0.9838656,0.0073685828,0.0009727178,0.00089055405,0.0006348876],"about_ca_topic_score_codex":0.000025813584,"about_ca_topic_score_gemma":0.0000017450625,"teacher_disagreement_score":0.66829807,"about_ca_system_score_codex":0.000112248475,"about_ca_system_score_gemma":0.000020354813,"threshold_uncertainty_score":0.9999112},"labels":[],"label_agreement":null},{"id":"W2070702035","doi":"10.1016/s0022-460x(03)00325-0","title":"Natural flexural vibrations of a continuous beam on discrete elastic supports","year":2003,"lang":"en","type":"article","venue":"Journal of Sound and Vibration","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Universiti Brunei Darussalam","keywords":"Eigenvalues and eigenvectors; Vibration; Beam (structure); Physics; Span (engineering); Normal mode; Mathematical analysis; Transfer matrix; Transfer-matrix method (optics); Classical mechanics; Mathematics; Acoustics; Optics; Quantum mechanics; Structural engineering; Engineering; Computer science","score_opus":0.004654359588310338,"score_gpt":0.2042716431518797,"score_spread":0.19961728356356936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070702035","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":[0.8865861,0.00025751363,0.11196033,0.000022142454,0.00056757056,0.000040399114,0.000005716923,0.000021280252,0.0005389137],"genre_scores_gemma":[0.99845886,0.0000351993,0.0013649837,0.00001027795,0.00007707502,4.5869734e-7,0.0000051194597,0.000011205297,0.00003680804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948466,0.000009713284,0.00026502382,0.00004252218,0.000111975954,0.00008609351],"domain_scores_gemma":[0.99973106,0.000049122435,0.00007752128,0.000050598264,0.000044917422,0.000046797777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009223496,0.00008147421,0.00014298732,0.00009346501,0.000031367563,0.000035234778,0.000028885688,0.0000401195,0.000008326893],"category_scores_gemma":[0.0000528264,0.00006765625,0.00004670874,0.00007110245,0.000017570914,0.00022646897,0.0000021757314,0.00013471895,7.914163e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006353187,0.00007251548,0.0024077217,0.00017827452,0.00017299251,0.000020438958,0.0011966154,0.8833639,0.09465033,0.015738906,0.00051771355,0.0016170737],"study_design_scores_gemma":[0.0044968384,0.0027766498,0.047652375,0.0006614964,0.0003492978,0.0012891205,0.0016147485,0.86125654,0.059455313,0.016642135,0.002503865,0.0013016483],"about_ca_topic_score_codex":3.9416923e-7,"about_ca_topic_score_gemma":0.0000015377025,"teacher_disagreement_score":0.11187274,"about_ca_system_score_codex":0.000017385635,"about_ca_system_score_gemma":0.000012894871,"threshold_uncertainty_score":0.2758942},"labels":[],"label_agreement":null},{"id":"W2071790473","doi":"10.5539/mas.v3n11p24","title":"Study on the Growth of the Fatigue Crack under Flexural Moment","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Southwest Jiaotong University","keywords":"Structural engineering; Flexural strength; Moment (physics); Materials science; Bending moment; Engineering","score_opus":0.023321547409786873,"score_gpt":0.23319435064735086,"score_spread":0.209872803237564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071790473","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":[0.8443854,0.000009903229,0.14407226,0.000269807,0.00015469207,0.0003067312,0.0000020540708,0.00011299718,0.010686201],"genre_scores_gemma":[0.9996936,0.0000010568541,0.00012480016,0.00009621655,0.000015497055,0.000012689765,1.600586e-7,0.000008454673,0.000047558107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990725,0.000005692359,0.0001241701,0.00015720939,0.00042259338,0.00021785943],"domain_scores_gemma":[0.9994893,0.000027807155,0.000019223413,0.00040641706,0.00002031912,0.000036906145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026456246,0.000110027875,0.00008839129,0.00004534832,0.00013427416,0.0000392858,0.00057657156,0.000019710884,0.0000020187315],"category_scores_gemma":[0.000008181708,0.00006207984,0.000026212716,0.0004083865,0.00010903835,0.000042144147,0.00003667865,0.00014342956,0.000005588929],"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":[0.000002391955,0.000059119273,0.00008577099,0.0000033595495,0.0000055470064,2.7058587e-7,0.0015013246,0.88391876,0.08279309,0.030619795,0.00005239309,0.0009581568],"study_design_scores_gemma":[0.0001602861,0.000052464366,0.04282493,0.000009750926,0.000006068269,8.0711004e-7,0.0003516376,0.93653834,0.012638806,0.007268453,0.0000070717365,0.00014138295],"about_ca_topic_score_codex":0.0000020069642,"about_ca_topic_score_gemma":0.0000015374277,"teacher_disagreement_score":0.15530822,"about_ca_system_score_codex":0.000066924316,"about_ca_system_score_gemma":0.000017840446,"threshold_uncertainty_score":0.25315425},"labels":[],"label_agreement":null},{"id":"W2072186209","doi":"10.1139/l10-010","title":"Improvements of conventional methods in railway track analysis and design","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Nonlinear system; Substructure; Ballast; Finite element method; Reliability (semiconductor); Structural engineering; Engineering; Computer science; Mechanical engineering","score_opus":0.00847735884495963,"score_gpt":0.22651539152855676,"score_spread":0.21803803268359714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072186209","genre_codex":"methods","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":[0.19453934,0.00055461,0.803876,0.000011734143,0.0006901874,0.00006057379,0.000014252204,0.000018994428,0.00023434412],"genre_scores_gemma":[0.9407616,0.0000238926,0.059120327,0.000003111498,0.00004780382,0.000002001668,0.0000019380082,0.000025948626,0.000013355972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911237,0.00001399271,0.00044509722,0.000078758276,0.000099207515,0.0002505824],"domain_scores_gemma":[0.99932176,0.00010718332,0.00006168318,0.00011631434,0.00006468149,0.00032837997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006674206,0.0001401575,0.0003322433,0.0011681197,0.000013981494,0.00002455161,0.0001412695,0.00009809558,0.00007617394],"category_scores_gemma":[0.00012686913,0.00015407265,0.00011006006,0.0005464623,0.000025801619,0.00013381714,0.000004568168,0.00040157733,3.4632382e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019956497,0.000004002639,0.0032746168,0.000062410945,0.00025819772,0.00002161776,0.00014203225,0.95489365,0.039110545,0.00022670443,0.000032179105,0.0019720457],"study_design_scores_gemma":[0.0005150516,0.00004105987,0.044074878,0.00006200607,0.00014597492,0.00005123613,0.000024172838,0.9491793,0.0047395686,0.00012591855,0.000804571,0.00023627921],"about_ca_topic_score_codex":0.00018732961,"about_ca_topic_score_gemma":0.018843122,"teacher_disagreement_score":0.7462223,"about_ca_system_score_codex":0.00005904289,"about_ca_system_score_gemma":0.00010850146,"threshold_uncertainty_score":0.99906045},"labels":[],"label_agreement":null},{"id":"W2074923527","doi":"10.1115/jrc2009-63058","title":"Predicted Wheel Wear and RCF Performance Using VAMPIRE Automation Routines","year":2009,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vampire; Automotive engineering; Truck; Process (computing); Automation; Computer science; Service (business); Simulation; Engineering; Mechanical engineering; Operating system; Artificial intelligence","score_opus":0.005559575514751287,"score_gpt":0.18403394313645888,"score_spread":0.1784743676217076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074923527","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":[0.9346225,0.000087267756,0.061872542,0.000021661375,0.00012482142,0.00005108597,0.0000029140024,0.000993801,0.0022233827],"genre_scores_gemma":[0.99093175,0.000061419574,0.008780191,0.0000156277,0.00005918761,9.385074e-7,0.0000075466583,0.000013452527,0.00012988035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995947,0.0000025022034,0.000111385874,0.0000790705,0.00007013816,0.0001422156],"domain_scores_gemma":[0.9998305,0.000009154932,0.000008591809,0.00009436537,0.000013873621,0.000043511158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041612584,0.0000976754,0.000082952436,0.000058232985,0.00003774842,0.000030932377,0.00003760997,0.000055483993,0.000007934656],"category_scores_gemma":[0.000009031831,0.00009353732,0.000013128895,0.00010319022,0.0000071762865,0.00017719746,0.0000053032036,0.00006800056,0.0000034568939],"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":[0.000001774634,0.0000056770837,0.0016432774,0.000054207525,0.00000900329,8.286253e-7,0.00017247054,0.9800402,0.0060718264,0.00021110589,0.000084352185,0.01170531],"study_design_scores_gemma":[0.00012128462,0.00001997673,0.03619268,0.000030943662,0.0000061998267,0.000008750696,0.0000130965855,0.9628207,0.00051379536,0.000019300298,0.0001423879,0.000110890716],"about_ca_topic_score_codex":0.0000028888528,"about_ca_topic_score_gemma":9.140076e-7,"teacher_disagreement_score":0.056309234,"about_ca_system_score_codex":0.000025788371,"about_ca_system_score_gemma":0.000004631509,"threshold_uncertainty_score":0.38143408},"labels":[],"label_agreement":null},{"id":"W2076181060","doi":"10.1080/00423110600869537","title":"Comparability of the non-linear and linearized stability assessment during railway vehicle design","year":2006,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Stability (learning theory); Linear stability; Linear model; Control theory (sociology); Dispersion (optics); Linear relationship; Mathematics; Computer science; Mechanics; Instability; Physics; Statistics","score_opus":0.008275506376542188,"score_gpt":0.20093730248872696,"score_spread":0.19266179611218476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076181060","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":[0.8553487,0.00006650895,0.14283964,0.000019372725,0.00032645217,0.0004868527,0.00007543548,0.00033788942,0.0004991584],"genre_scores_gemma":[0.9951581,0.0000051096313,0.0046402984,0.0000016549764,0.00006518859,0.000028502385,0.000012099984,0.00005464334,0.000034434594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831474,0.00011289389,0.00062539347,0.00029104334,0.00029907565,0.00035686977],"domain_scores_gemma":[0.9989091,0.00015800497,0.00009968995,0.0006596274,0.000092855684,0.00008068894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058824563,0.00027266875,0.00044884146,0.00006025925,0.00013895117,0.000038473085,0.00025500677,0.00015034151,0.0000027633155],"category_scores_gemma":[0.000018754214,0.00022878603,0.00011665049,0.0003225098,0.00011461874,0.00010414604,0.000086732674,0.00030354218,0.000002839773],"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":[0.000020890317,0.00005718236,0.04357616,0.0011469501,0.000038670056,0.0000022852244,0.00008595498,0.93175834,0.022626396,0.00052039925,0.000006301405,0.00016048478],"study_design_scores_gemma":[0.0006677353,0.000020455374,0.14319958,0.000085300606,0.000023647439,0.0000076514025,0.00011451656,0.85167253,0.0039738,0.00003279088,0.0000059045483,0.00019610029],"about_ca_topic_score_codex":0.00016044034,"about_ca_topic_score_gemma":0.00007146361,"teacher_disagreement_score":0.13980938,"about_ca_system_score_codex":0.00048242533,"about_ca_system_score_gemma":0.000043244032,"threshold_uncertainty_score":0.93296236},"labels":[],"label_agreement":null},{"id":"W2077054501","doi":"10.1680/geng.2010.163.1.3","title":"Track displacement and energy loss in a railway embankment","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Geotechnical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Track (disk drive); Deflection (physics); Levee; Geotechnical engineering; Settlement (finance); Track geometry; Displacement (psychology); Engineering; Structural engineering; Computer science; Mechanical engineering","score_opus":0.0032312938663321598,"score_gpt":0.1762164364313051,"score_spread":0.17298514256497294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077054501","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":[0.971296,0.00029893525,0.02540304,0.00010920479,0.0009013724,0.00021164377,0.000022770113,0.00041920418,0.0013378387],"genre_scores_gemma":[0.99807376,0.00015182041,0.001597963,0.000005803951,0.000053334243,0.000042696898,0.000002092712,0.000045080593,0.000027471448],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985355,0.0000015963352,0.0005679175,0.00022375215,0.0003140369,0.00035717944],"domain_scores_gemma":[0.99950695,0.00004701053,0.00007249572,0.0001922501,0.00006808296,0.00011320755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003007448,0.00030267527,0.00038059958,0.00030521944,0.000028169377,0.000018597075,0.00036217252,0.00024430972,0.0000066242683],"category_scores_gemma":[0.00017009192,0.00027214232,0.00011652323,0.0005491399,0.00013284017,0.00022224773,0.00009941748,0.0005829029,4.3084594e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009287027,0.00003826525,0.00029877154,0.0004311975,0.000032629814,9.5211027e-7,0.000086602486,0.8426814,0.112728655,0.043108653,0.000047848698,0.0005357581],"study_design_scores_gemma":[0.0006840862,0.000047997848,0.0044208225,0.000386849,0.000034161876,0.00004275172,0.00002462036,0.93917316,0.050126888,0.00018282539,0.004457355,0.00041850208],"about_ca_topic_score_codex":0.000018350382,"about_ca_topic_score_gemma":0.000025797397,"teacher_disagreement_score":0.09649176,"about_ca_system_score_codex":0.000083902705,"about_ca_system_score_gemma":0.000020207739,"threshold_uncertainty_score":0.99997306},"labels":[],"label_agreement":null},{"id":"W2081124417","doi":"10.1115/jrc2013-2402","title":"Analysis of Brake Failure and Runaway Accidents in Mountain Terrain in Canada","year":2013,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Terrain; Brake; Train; SAFER; Automotive engineering; Forensic engineering; Engineering; Aeronautics; Computer science; Computer security; History; Geography","score_opus":0.0019499604370124587,"score_gpt":0.16008397482400177,"score_spread":0.15813401438698932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081124417","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":[0.9981024,0.000045583784,0.0008209167,0.00002950229,0.000028626197,0.000063162544,0.00000674882,0.00002435018,0.0008786584],"genre_scores_gemma":[0.99946386,0.0000125000115,0.00040781894,0.000015349806,0.000003126692,0.000008685863,0.00000986707,0.000010496839,0.00006828218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946177,0.000006121697,0.00019968151,0.00008833151,0.00008300269,0.00016108988],"domain_scores_gemma":[0.9997876,0.000030460174,0.000010051584,0.000118622294,0.000008714829,0.000044525423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053009328,0.00008805408,0.00020407033,0.00031717014,0.000003786844,0.000011298565,0.00007038919,0.000037686343,0.00008157142],"category_scores_gemma":[0.0000109538805,0.00008716121,0.000018127577,0.0005472847,0.0000050518825,0.00008111004,0.000014123628,0.00008556377,8.363511e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.080407e-7,0.0000027318736,0.39184627,0.000016842967,0.000051740226,0.0000030887174,0.000097697724,0.6066769,0.00036321077,0.000045756256,0.00010330111,0.00079215434],"study_design_scores_gemma":[0.00008242765,0.0000014648166,0.44711617,0.000006204504,0.000008104955,3.0859874e-7,0.00018576757,0.55246645,0.000036351583,0.000009985002,0.000026173533,0.000060569477],"about_ca_topic_score_codex":0.848908,"about_ca_topic_score_gemma":0.98948056,"teacher_disagreement_score":0.14057255,"about_ca_system_score_codex":0.00018081887,"about_ca_system_score_gemma":0.000030240015,"threshold_uncertainty_score":0.3554331},"labels":[],"label_agreement":null},{"id":"W2081474462","doi":"10.3141/2117-05","title":"Enhanced Parametric Railway Capacity Evaluation Tool","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":65,"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":"University of Illinois at Urbana-Champaign","keywords":"Subdivision; Parametric statistics; Investment (military); Transport engineering; Operations research; Plan (archaeology); Table (database); Investment decisions; Resource (disambiguation); Computer science; Engineering; Business; Civil engineering; Finance","score_opus":0.06896899981421793,"score_gpt":0.34535113881459895,"score_spread":0.276382139000381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081474462","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":[0.9784165,0.00033364593,0.018187255,0.0006038271,0.00079867203,0.0008867393,0.00004373443,0.00010242004,0.0006271842],"genre_scores_gemma":[0.9960924,0.0007834021,0.002532875,0.000021784204,0.00024610208,0.000049609836,0.000020280375,0.000051392744,0.00020219974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9927336,0.0006103859,0.0012417971,0.00030423744,0.0042283293,0.00088167493],"domain_scores_gemma":[0.99524176,0.00064201624,0.00018320036,0.0005100363,0.0031218799,0.00030110168],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0056553525,0.000274311,0.00042326102,0.0013503857,0.0003438056,0.00013990968,0.00084589404,0.00023258555,0.0001792018],"category_scores_gemma":[0.00035381282,0.00022286286,0.00035497738,0.0032635606,0.00021912619,0.0006468235,0.0000021273318,0.0023546615,0.000029331364],"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":[0.0006917512,0.0003656261,0.012535774,0.00038800342,0.00029326667,0.000055490855,0.003367281,0.8019288,0.03832855,0.004297608,0.0075689796,0.13017885],"study_design_scores_gemma":[0.0019536896,0.0006479834,0.9346897,0.0003130361,0.00008305098,9.0420133e-7,0.0004376021,0.041080568,0.008852554,0.0070335236,0.0045237443,0.00038367108],"about_ca_topic_score_codex":0.00054071395,"about_ca_topic_score_gemma":0.0027162586,"teacher_disagreement_score":0.9221539,"about_ca_system_score_codex":0.00048715682,"about_ca_system_score_gemma":0.00031646102,"threshold_uncertainty_score":0.99994695},"labels":[],"label_agreement":null},{"id":"W2083723312","doi":"10.2219/rtriqr.54.104","title":"Deformation Behavior of Ballasted Track during Earthquakes","year":2013,"lang":"en","type":"article","venue":"Quarterly Report of RTRI","topic":"Railway Engineering and Dynamics","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":"Thinkpath Engineering Services (Canada)","funders":"","keywords":"Ballast; Track (disk drive); Structural engineering; Deformation (meteorology); Engineering; Geotechnical engineering; Buckling; Geology; Mechanical engineering","score_opus":0.004541135858432188,"score_gpt":0.18521524185896782,"score_spread":0.18067410600053563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083723312","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":[0.99560905,0.00003907204,0.0027553816,0.0000034818506,0.00021246643,0.00017365818,0.0000073012343,0.00019421802,0.001005388],"genre_scores_gemma":[0.9987836,0.000004033622,0.0009800436,4.1927908e-7,0.00002551263,0.000027169266,0.000024183983,0.000022448785,0.00013259529],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99902827,0.000005224254,0.0005516355,0.00008890656,0.00017062158,0.0001553703],"domain_scores_gemma":[0.99945194,0.000017373302,0.00011075434,0.0002793094,0.00008808291,0.00005256373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007573272,0.00011484163,0.00020757393,0.0001179784,0.000013895861,0.000012249662,0.000072205905,0.00007655534,0.000041976262],"category_scores_gemma":[0.000011907862,0.00011579915,0.000076930184,0.00012809156,0.000018730398,0.00023422617,0.0000030525832,0.00008096877,0.000023363104],"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":[0.000021215463,0.0002721811,0.05947487,0.001993332,0.00023681176,0.0002634911,0.004258546,0.14037773,0.72969115,0.00015461993,0.0004624158,0.06279365],"study_design_scores_gemma":[0.0010337124,0.00052817474,0.7623244,0.00018834678,0.00009182526,0.0012757224,0.000813471,0.16216582,0.07053364,0.000079230245,0.00032445643,0.0006411858],"about_ca_topic_score_codex":0.000042633696,"about_ca_topic_score_gemma":0.000007218162,"teacher_disagreement_score":0.70284957,"about_ca_system_score_codex":0.0000202657,"about_ca_system_score_gemma":0.000009232243,"threshold_uncertainty_score":0.4722152},"labels":[],"label_agreement":null},{"id":"W2084953211","doi":"10.1139/l02-049","title":"Positioning of bearings for curved continuous spread-box girder bridges","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Structural engineering; Box girder; Bearing (navigation); Finite element method; Bridge (graph theory); Superstructure; Engineering; Beam bridge; Shear (geology); Girder; Geology; Computer science","score_opus":0.006768542915314134,"score_gpt":0.16811526302395882,"score_spread":0.16134672010864468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084953211","genre_codex":"methods","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":[0.37330446,0.009442183,0.6085377,0.00015190824,0.0031809586,0.000333673,0.0001698337,0.0002607898,0.0046185534],"genre_scores_gemma":[0.9964212,0.000059692145,0.0030857036,0.000010565427,0.00022736895,0.00000446666,0.000004484088,0.00008038257,0.00010613682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889,0.000004836709,0.00046914324,0.00009143417,0.0001266842,0.00041793144],"domain_scores_gemma":[0.9991247,0.00009064284,0.000081496626,0.00014956122,0.00016326422,0.00039033926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001845671,0.00019821536,0.00036540275,0.0004482562,0.000042814063,0.000050045066,0.0002104788,0.00010468669,0.00006802517],"category_scores_gemma":[0.00014619155,0.00023096711,0.00016948336,0.00018467048,0.000023708377,0.00019040551,0.000005025125,0.00025407175,0.0000026779087],"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":[0.0000020745902,0.0000055708792,0.00044673024,0.00018294634,0.000099090634,0.00002645105,0.00034430088,0.9929295,0.003089669,0.00037599646,0.0017989307,0.0006987298],"study_design_scores_gemma":[0.00081096345,0.00014184082,0.0037197766,0.0005598248,0.00007840751,0.0002726683,0.000068231595,0.97707874,0.0027502682,0.000047823276,0.0139936535,0.00047779246],"about_ca_topic_score_codex":0.00017383418,"about_ca_topic_score_gemma":0.0028713623,"teacher_disagreement_score":0.62311673,"about_ca_system_score_codex":0.00014940967,"about_ca_system_score_gemma":0.00004530056,"threshold_uncertainty_score":0.94185656},"labels":[],"label_agreement":null},{"id":"W2085608999","doi":"10.1115/detc2011-48844","title":"Random Base Excitation of Timoshenko Beam Traversed by Moving Load","year":2011,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Timoshenko beam theory; Excitation; Beam (structure); Deflection (physics); Bending moment; Finite element method; Moving load; Galerkin method; Boundary value problem; Base (topology); Mechanics; Physics; Structural engineering; Classical mechanics; Mathematics; Engineering; Mathematical analysis","score_opus":0.007636785108565332,"score_gpt":0.16551296784090383,"score_spread":0.1578761827323385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085608999","genre_codex":"methods","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":[0.4712705,0.00012845312,0.48158106,0.0000028956656,0.00025779958,0.000099274934,0.000019171777,0.00042612612,0.04621472],"genre_scores_gemma":[0.9918869,0.000023747152,0.0075149564,0.0000074899845,0.00001341592,0.0000054911243,0.000013458864,0.000024384539,0.0005101564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952364,0.0000044671247,0.00016299255,0.00007820604,0.000101375306,0.00012930029],"domain_scores_gemma":[0.99974704,0.00003284485,0.000014397048,0.00012876275,0.000028273427,0.00004867334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009305956,0.00009657732,0.00012493218,0.00004473831,0.000011368824,0.000005237715,0.000065394386,0.000053601845,0.00020728732],"category_scores_gemma":[0.000019286326,0.00009603591,0.00004479444,0.000073918716,0.000012445853,0.00008532476,0.0000049107507,0.000061578496,0.000027694916],"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":[0.00016002398,0.00015838823,0.0006935563,0.0005401794,0.0002533677,0.00001181364,0.0071714856,0.63839644,0.32467636,0.0018932165,0.015274071,0.010771084],"study_design_scores_gemma":[0.0017764306,0.00004408657,0.0009862325,0.000025567986,0.000024737587,0.000002189618,0.0002194472,0.94862306,0.047383286,0.00014389248,0.0005026966,0.00026838577],"about_ca_topic_score_codex":0.000058111178,"about_ca_topic_score_gemma":0.000005394465,"teacher_disagreement_score":0.5206164,"about_ca_system_score_codex":0.000032708613,"about_ca_system_score_gemma":0.000007973787,"threshold_uncertainty_score":0.39162308},"labels":[],"label_agreement":null},{"id":"W2085922089","doi":"10.1139/t99-108","title":"Track and support rehabilitation for a mine company railroad","year":2000,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ballast; Axle; Track (disk drive); Foundation (evidence); Aggregate (composite); Axle load; Engineering; Geotechnical engineering; Mining engineering; Structural engineering; Mechanical engineering; Law","score_opus":0.005599008519169149,"score_gpt":0.1985181890576874,"score_spread":0.19291918053851825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085922089","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":[0.95073825,0.0008023425,0.040514424,0.0033502968,0.000596669,0.00053492043,0.00023168878,0.0004896728,0.0027417426],"genre_scores_gemma":[0.99300677,0.00009113596,0.0061307945,0.00011300296,0.00017052548,0.0000128902875,0.000016086722,0.000035578854,0.00042324056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927586,0.0000068758504,0.00021995034,0.00009747989,0.00007215879,0.00032769798],"domain_scores_gemma":[0.99924964,0.00007161384,0.000010793057,0.00010698731,0.000030618816,0.0005303279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019616942,0.00011021323,0.00014487565,0.00013011514,0.00008298733,0.000054962522,0.00009351132,0.00011852149,0.000205079],"category_scores_gemma":[0.000057412795,0.000115769835,0.00006353822,0.00009061447,0.000038992926,0.00008597244,0.0000019659356,0.0002678379,0.000014548547],"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":[0.000017728771,0.0000122891615,0.00012020806,0.000067587025,0.00003728565,0.00003989536,0.0001677782,0.7869508,0.00027400668,0.0004390925,0.024778677,0.18709463],"study_design_scores_gemma":[0.00060884986,0.0002002754,0.006940769,0.000039485927,0.000021765927,0.00057562854,0.000025088992,0.6609509,0.000010836731,0.0007977991,0.329559,0.00026961818],"about_ca_topic_score_codex":0.00024168765,"about_ca_topic_score_gemma":0.0011364919,"teacher_disagreement_score":0.3047803,"about_ca_system_score_codex":0.00014884607,"about_ca_system_score_gemma":0.00007015336,"threshold_uncertainty_score":0.47209567},"labels":[],"label_agreement":null},{"id":"W2086680795","doi":"10.1177/1077546313499178","title":"Vibration analysis of circular annular plates subjected to peripheral rotating transverse loads","year":2013,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Deflection (physics); Vibration; Structural engineering; Finite element method; Galerkin method; Bending of plates; Mechanics; Train; Acoustics; Engineering; Physics; Classical mechanics; Bending","score_opus":0.002945334248181249,"score_gpt":0.1792461890189397,"score_spread":0.17630085477075846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086680795","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":[0.5677906,0.00011364881,0.4318483,0.00007690346,0.000056216566,0.000064924505,0.0000047111366,0.00001744191,0.000027202166],"genre_scores_gemma":[0.99707794,0.000020498168,0.0027754954,0.00005394767,0.000046316127,0.0000039004726,0.0000051510324,0.000011039052,0.0000057186567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930274,0.000020908734,0.00038121856,0.00005757533,0.00014016221,0.00009738587],"domain_scores_gemma":[0.99958444,0.000035996356,0.00008406395,0.00006465452,0.00014334552,0.00008752186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111597474,0.000092834634,0.0002724184,0.0002921522,0.00002578764,0.0000574756,0.000048694597,0.000052996085,0.000054671214],"category_scores_gemma":[0.000030952273,0.000085571795,0.00010475893,0.0003300433,0.000008346428,0.00033894245,0.0000018255055,0.00009042504,0.000001054142],"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":[0.000014080881,0.0000090460935,0.001327455,0.000018318566,0.00037611366,0.0000014681066,0.00058394216,0.714973,0.2806251,0.000037602138,0.000020291443,0.0020136188],"study_design_scores_gemma":[0.0006048733,0.000096855336,0.037119236,0.0000170496,0.00023694435,0.0000051423,0.00015051886,0.95881724,0.0028150762,0.00001906699,0.000029629424,0.00008834573],"about_ca_topic_score_codex":0.00000876081,"about_ca_topic_score_gemma":0.0000070603583,"teacher_disagreement_score":0.42928728,"about_ca_system_score_codex":0.00001945371,"about_ca_system_score_gemma":0.000011876372,"threshold_uncertainty_score":0.34895167},"labels":[],"label_agreement":null},{"id":"W2089347942","doi":"10.4028/www.scientific.net/amm.105-107.755","title":"Wheel-Rail Lateral Force Continuous Measurement Based on Rail Web Bending Moment Difference Method","year":2011,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National High-tech Research and Development Program","keywords":"Bending moment; Track (disk drive); Moment (physics); Structural engineering; Engineering; Bending; Contact force; Mechanical engineering; Physics; Classical mechanics","score_opus":0.018800521998695963,"score_gpt":0.1952382461281139,"score_spread":0.17643772412941794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089347942","genre_codex":"methods","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":[0.12181387,0.000051991658,0.87267274,0.000016015762,0.0012037996,0.00047831077,0.0000935014,0.0005208598,0.0031489125],"genre_scores_gemma":[0.9757049,0.000055709515,0.023840155,0.00007163765,0.00006097822,0.000120830344,0.000018608218,0.00006785491,0.000059328537],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987877,0.000019527102,0.00030090444,0.00027826085,0.00024105798,0.00037253258],"domain_scores_gemma":[0.99951595,0.000022404603,0.000049263715,0.0002649409,0.00002812051,0.000119315904],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00055222725,0.00029721353,0.0003735712,0.000096743286,0.000061829815,0.000071805116,0.00013179115,0.00012336767,0.00007157032],"category_scores_gemma":[0.0000073552974,0.0002760588,0.00003668472,0.000058945927,0.0000055070586,0.000030080666,0.000039440365,0.000093437826,0.000012891007],"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":[0.000060033923,0.000037070648,0.0000016034121,0.00018893732,0.000056971876,0.000005231216,0.00026423915,0.0026132655,0.8439284,0.14982666,0.00006758836,0.002949991],"study_design_scores_gemma":[0.002284583,0.0002878532,0.00017032147,0.00022698508,0.00012340411,0.000008192614,0.000093934505,0.25579095,0.7197296,0.01860578,0.0015260015,0.0011523905],"about_ca_topic_score_codex":0.0000103281845,"about_ca_topic_score_gemma":0.0000036630224,"teacher_disagreement_score":0.853891,"about_ca_system_score_codex":0.00007619923,"about_ca_system_score_gemma":0.00001286727,"threshold_uncertainty_score":0.9999692},"labels":[],"label_agreement":null},{"id":"W2090858980","doi":"10.1115/jrc2011-56008","title":"Direct Fixation Fastener (DFF) Spacing and Stiffness Design","year":2011,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Fastener; Vibration; Structural engineering; Natural frequency; Ballast; Stiffness; Deflection (physics); Engineering; Slab; Computer science; Mechanical engineering; Acoustics; Electrical engineering; Physics","score_opus":0.020163946173240178,"score_gpt":0.1793872702948647,"score_spread":0.15922332412162452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090858980","genre_codex":"methods","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":[0.20460537,0.00014950157,0.74957883,0.0000031679197,0.0002544525,0.0000697499,0.000001522842,0.0007130348,0.044624355],"genre_scores_gemma":[0.98562974,0.000021516837,0.0139183095,0.000005343396,0.000026037897,0.000005787924,0.0000014823133,0.000023631388,0.00036818255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996672,0.0000055201244,0.000076444645,0.000082151855,0.00004576231,0.00012291058],"domain_scores_gemma":[0.99982756,0.00001791752,0.0000062493655,0.00009102421,0.00001153228,0.000045726847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006148951,0.00008839527,0.000078986755,0.000050513034,0.000020663849,0.000015966556,0.000033010063,0.00004186905,0.000017943832],"category_scores_gemma":[0.000010421208,0.00008006813,0.000012642749,0.000064328444,0.000008209232,0.00008862517,0.000007716933,0.00004418888,0.00001181303],"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":[0.000016545491,0.00002346876,0.0016021287,0.00017785304,0.00009094237,0.000013449681,0.0029396447,0.93344444,0.024363523,0.0022902011,0.00079439196,0.034243412],"study_design_scores_gemma":[0.00014934927,0.000014943339,0.011728382,0.00002716523,0.000011600367,0.000006763842,0.000083093255,0.97829545,0.00920663,0.00013225025,0.00013450923,0.00020986801],"about_ca_topic_score_codex":0.000022736338,"about_ca_topic_score_gemma":0.000005278272,"teacher_disagreement_score":0.78102434,"about_ca_system_score_codex":0.00001372042,"about_ca_system_score_gemma":0.0000024404649,"threshold_uncertainty_score":0.32650837},"labels":[],"label_agreement":null},{"id":"W2092451802","doi":"10.1504/ijrm.2013.053358","title":"Railway demand forecasting in revenue management using neural networks","year":2013,"lang":"en","type":"article","venue":"International Journal of Revenue Management","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Revenue management; Artificial neural network; Computer science; Demand forecasting; Revenue; Perceptron; Operations research; Multilayer perceptron; Data mining; Artificial intelligence; Engineering; Economics; Finance","score_opus":0.010622776021945297,"score_gpt":0.21486677970988072,"score_spread":0.2042440036879354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092451802","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":[0.8424346,0.0009055305,0.15128034,0.00016530312,0.0035297107,0.00027878353,0.000013369792,0.00003357478,0.0013587859],"genre_scores_gemma":[0.99144727,0.00030908466,0.0075507415,0.000042044103,0.00034482026,0.000009204423,0.000003840251,0.000030640545,0.00026238215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989415,0.000020145177,0.00044152327,0.000095144635,0.0002894564,0.00021222362],"domain_scores_gemma":[0.9996286,0.000022192935,0.0001206606,0.000109381275,0.00006478257,0.00005440644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027203507,0.00013438106,0.00016329162,0.00033827216,0.000019989127,0.000083289655,0.00034763603,0.000038449343,0.000016204463],"category_scores_gemma":[0.000009528576,0.00014147616,0.000082749226,0.00014616041,0.00001187678,0.00022095314,0.00007812529,0.00021383325,0.0000062585814],"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":[0.000006341711,0.000016091628,0.001079879,0.000053121505,0.00017029839,0.00035924802,0.00006377545,0.9463562,0.000028895663,0.00010262131,0.0012873067,0.050476246],"study_design_scores_gemma":[0.0005422702,0.000015035933,0.006929139,0.00038325152,0.000027514952,0.000109015105,0.00005570237,0.9872764,0.00000764598,0.00044759762,0.0040687104,0.00013772427],"about_ca_topic_score_codex":0.000012074563,"about_ca_topic_score_gemma":0.0000069750695,"teacher_disagreement_score":0.14901264,"about_ca_system_score_codex":0.00021672138,"about_ca_system_score_gemma":0.0000024701724,"threshold_uncertainty_score":0.5769231},"labels":[],"label_agreement":null},{"id":"W2092788954","doi":"10.1111/j.1747-1567.2004.tb00161.x","title":"MEASURING THE DYNAMIC STRUCTURAL LOAD OF AN OFF-ROAD BICYCLE FRAME","year":2004,"lang":"en","type":"article","venue":"Experimental Techniques","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Chicoutimi","funders":"","keywords":"Auger; Frame (networking); Engineering; Mechanical engineering; Management; Economics","score_opus":0.007734128349308005,"score_gpt":0.24334686314540274,"score_spread":0.23561273479609474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092788954","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":[0.99170566,0.001873154,0.0031836692,0.000013094435,0.00017037835,0.0001837543,0.00001185057,0.0012625929,0.0015958787],"genre_scores_gemma":[0.98748785,0.00003676923,0.012316912,0.000012569003,0.000039977764,0.00003575512,0.000007698214,0.000049406204,0.000013060873],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992232,0.000009520249,0.00020241398,0.00014070557,0.00021356068,0.0002106122],"domain_scores_gemma":[0.99956006,0.000007214675,0.000026156124,0.00033220852,0.000021162907,0.00005318092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000847207,0.00018229136,0.00015629368,0.000057930825,0.00005685285,0.000027325077,0.000266983,0.00008648146,0.000012616027],"category_scores_gemma":[0.000006572315,0.00014882059,0.00006468597,0.000115944145,0.00006957006,0.00017496968,0.000039631097,0.00017464344,0.0000037242],"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":[0.000011469656,0.000044303346,0.000027104044,0.00003443432,0.000038300335,0.000006460744,0.0014695257,0.03070829,0.9393109,0.00071134494,0.000016316659,0.027621562],"study_design_scores_gemma":[0.00016010903,0.00010801887,0.0008418556,0.00005349798,0.000004764682,0.000024564788,0.00023469164,0.058806326,0.9388697,0.00051844964,0.00014720198,0.00023078226],"about_ca_topic_score_codex":0.000095268384,"about_ca_topic_score_gemma":0.000011528159,"teacher_disagreement_score":0.028098036,"about_ca_system_score_codex":0.00028420697,"about_ca_system_score_gemma":0.000016581413,"threshold_uncertainty_score":0.60687274},"labels":[],"label_agreement":null},{"id":"W2094866539","doi":"10.1061/(asce)1084-0702(2005)10:6(678)","title":"Distribution Factors for Curved Continuous Composite Box-Girder Bridges","year":2005,"lang":"en","type":"article","venue":"Journal of Bridge Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":28,"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 Windsor; Toronto Metropolitan University","funders":"","keywords":"Structural engineering; Box girder; Structural load; Deflection (physics); Engineering; Curvature; Span (engineering); Finite element method; Girder; Flexural strength; Parametric statistics; Truck; Mathematics; Geometry","score_opus":0.007979339515348197,"score_gpt":0.20718662345588007,"score_spread":0.1992072839405319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094866539","genre_codex":"methods","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":[0.46022856,0.00052422495,0.5381274,0.000036656515,0.0007406436,0.00007254926,0.00008514312,0.0001692311,0.000015555463],"genre_scores_gemma":[0.99410063,0.00009711548,0.0048125153,0.00000838698,0.0007942075,0.0000045184074,0.000061090104,0.00007999496,0.000041534287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987562,0.000006442658,0.0005522173,0.000107395754,0.00020303948,0.00037471903],"domain_scores_gemma":[0.9992908,0.00015862928,0.000097439224,0.00014608288,0.00013630533,0.00017070828],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022526349,0.00026185854,0.00040934113,0.00015097354,0.00004120558,0.00006913565,0.00019296631,0.000107879525,0.0000042828988],"category_scores_gemma":[0.00011609408,0.0002644549,0.0002453461,0.00013864506,0.0000118714825,0.00031153622,0.000014183374,0.0003153311,0.000004006481],"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":[0.000013115835,0.000020619036,0.00056032,0.00008551255,0.000101670965,0.000005566689,0.00010256181,0.9888905,0.0065238765,0.000050365044,0.0017745667,0.0018712794],"study_design_scores_gemma":[0.000734149,0.000074184514,0.03294142,0.00011305064,0.00005683228,0.00011055464,0.00002003317,0.9302448,0.012421551,0.0000036477434,0.022929886,0.00034988663],"about_ca_topic_score_codex":0.0000026358261,"about_ca_topic_score_gemma":0.0000016059481,"teacher_disagreement_score":0.53387207,"about_ca_system_score_codex":0.0002300255,"about_ca_system_score_gemma":0.000015764614,"threshold_uncertainty_score":0.99998075},"labels":[],"label_agreement":null},{"id":"W2100752904","doi":"10.1243/09544097jrrt225","title":"Performance-based track geometry and the track geometry interaction map","year":2008,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Federal Railroad Administration","keywords":"Track geometry; Track (disk drive); Geometry; Computer science; Mathematics","score_opus":0.00916076077030616,"score_gpt":0.18278918376237555,"score_spread":0.17362842299206938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100752904","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":[0.9883659,0.0012286592,0.0088301515,0.00042435763,0.0008094072,0.00012962124,0.000008208517,0.000038380324,0.00016529812],"genre_scores_gemma":[0.9965975,0.0022214677,0.0010142497,0.000019806132,0.00011223962,0.000002723066,7.672621e-7,0.000016636082,0.000014597292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987836,0.000006813503,0.00061058765,0.00010029966,0.00032622062,0.00017247155],"domain_scores_gemma":[0.9993905,0.00008644494,0.00018256083,0.00007223223,0.00017209105,0.00009620231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005867944,0.00018788583,0.0004036955,0.00022003475,0.00010075086,0.000014952586,0.00020280152,0.00012770464,0.0000076213364],"category_scores_gemma":[0.00008277585,0.00011673512,0.00019611036,0.00031636324,0.0002476298,0.00031596603,0.000012660313,0.00048364044,4.115754e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012147021,0.00019233418,0.00045680083,0.0026380029,0.0006262396,0.0000055516016,0.0014590335,0.9357582,0.037079778,0.006647999,0.00073619944,0.01318519],"study_design_scores_gemma":[0.0072313906,0.00058419484,0.0024538033,0.0012394256,0.0004142448,0.00094061415,0.0004421997,0.8836587,0.09733764,0.00015552313,0.005072606,0.0004696721],"about_ca_topic_score_codex":0.0000015533124,"about_ca_topic_score_gemma":2.1880332e-7,"teacher_disagreement_score":0.06025786,"about_ca_system_score_codex":0.000031688658,"about_ca_system_score_gemma":0.000028210954,"threshold_uncertainty_score":0.47603202},"labels":[],"label_agreement":null},{"id":"W2102864810","doi":"10.1139/cjce-2014-0331","title":"Nonlinear analysis of isotropic slab bridges under extreme traffic loading","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Rijkswaterstaat; European Commission","keywords":"Nonlinear system; Extrapolation; Slab; Structural engineering; Isotropy; Finite element method; Linear model; Linear elasticity; Engineering; Computer science; Mathematics; Physics; Mathematical analysis","score_opus":0.01700592383412124,"score_gpt":0.19180818550843953,"score_spread":0.17480226167431828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102864810","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":[0.82957745,0.0035728586,0.16451631,0.000046387442,0.0013593178,0.00005360313,0.000059766968,0.00010390775,0.0007104221],"genre_scores_gemma":[0.9978251,0.00004127533,0.0018033233,0.00000906346,0.00019238165,8.905476e-7,0.00000859987,0.000061030303,0.00005834157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869233,0.000009706879,0.00054315594,0.00010594878,0.00023133834,0.00041753333],"domain_scores_gemma":[0.99867094,0.00005256978,0.00008483384,0.00021724144,0.00018104281,0.00079336547],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025119047,0.00022629547,0.0005311092,0.0015791805,0.000022272503,0.000044418597,0.00027330668,0.00011291914,0.00004832294],"category_scores_gemma":[0.0000976129,0.0002486152,0.00024042217,0.0010254171,0.000026112175,0.00019062118,0.0000067784404,0.00031780262,0.000003622358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017911135,0.0000042314127,0.0006122707,0.000050478215,0.0005847019,0.00004904636,0.00030380077,0.9970492,0.000651971,0.00011255372,0.00033947776,0.000240463],"study_design_scores_gemma":[0.00031368967,0.00004791639,0.0022392343,0.00009155343,0.00032851618,0.00005390719,0.00013454727,0.9925086,0.00026827626,0.0000084067215,0.0037514581,0.00025389084],"about_ca_topic_score_codex":0.00018692682,"about_ca_topic_score_gemma":0.02379645,"teacher_disagreement_score":0.16824767,"about_ca_system_score_codex":0.0003667815,"about_ca_system_score_gemma":0.0002682215,"threshold_uncertainty_score":0.9999966},"labels":[],"label_agreement":null},{"id":"W2111420168","doi":"10.1139/t06-077","title":"Modeling the mechanical behavior of railway ballast using artificial neural networks","year":2006,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ballast; Geotechnical engineering; Artificial neural network; Constitutive equation; Structural engineering; Engineering; Hardening (computing); Strain hardening exponent; Deformation (meteorology); Finite element method; Geology; Materials science; Computer science; Composite material","score_opus":0.012747828908723365,"score_gpt":0.20114848053150503,"score_spread":0.18840065162278166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111420168","genre_codex":"methods","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":[0.36884338,0.00025793453,0.62987244,0.000089637564,0.0006718552,0.00009593816,0.000016284503,0.000093310206,0.000059240727],"genre_scores_gemma":[0.9981063,0.0000123488335,0.0011504857,0.000029236398,0.0006379053,0.000003881646,0.000005250763,0.000049408238,0.0000051611896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985919,0.000025335523,0.00050182757,0.000120774945,0.00020228015,0.00055789924],"domain_scores_gemma":[0.9993061,0.00003357854,0.000036804377,0.0002243455,0.00006713983,0.0003320624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030344157,0.0001822766,0.00021885277,0.0001573786,0.00018390408,0.000085217696,0.00033080898,0.00022839262,0.000029143333],"category_scores_gemma":[0.000027367581,0.00015382077,0.00016117671,0.00024681285,0.00005158801,0.00007985453,0.000020147923,0.00091321586,0.0000017949674],"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":[0.0000025020572,0.000006903905,0.0000166303,0.0000033250376,0.000010012754,0.000047545804,0.0000034933782,0.99542004,0.0011595576,0.0012758847,0.00007327599,0.0019808533],"study_design_scores_gemma":[0.00008901596,0.000017699978,0.00010431221,0.000021114864,0.000042187345,0.00042406435,0.000014405543,0.99853843,0.000053997537,0.00039325806,0.00013057484,0.00017092895],"about_ca_topic_score_codex":0.0040831775,"about_ca_topic_score_gemma":0.0060052634,"teacher_disagreement_score":0.6292629,"about_ca_system_score_codex":0.00025228542,"about_ca_system_score_gemma":0.00009842666,"threshold_uncertainty_score":0.6272629},"labels":[],"label_agreement":null},{"id":"W2113828448","doi":"10.1177/0954409712447230","title":"A train air brake force model: Locomotive automatic brake valve and brake pipe flow formulations","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Pacific Railway (Canada)","funders":"","keywords":"Brake; Ordinary differential equation; Air brake; Differential equation; Airflow; Partial differential equation; Engineering; Coordinate system; Mechanics; Control theory (sociology); Mechanical engineering; Computer science; Mathematics; Physics; Mathematical analysis; Geometry","score_opus":0.00841864305529949,"score_gpt":0.19213103531214823,"score_spread":0.18371239225684874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113828448","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":[0.6113258,0.0012512847,0.38588622,0.00029413597,0.00053012476,0.00025765636,0.000045528963,0.00009607346,0.0003131783],"genre_scores_gemma":[0.9880885,0.00033991376,0.011400851,0.000020302632,0.00010000749,0.0000045511297,0.0000016541726,0.000027475888,0.000016765125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986135,0.0000063237794,0.0006606308,0.00010616425,0.00032560504,0.0002878063],"domain_scores_gemma":[0.9992962,0.000064875996,0.00017502715,0.00007759095,0.00017153006,0.00021479047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000546714,0.00024118795,0.00046246886,0.00018471183,0.00008409718,0.000015989293,0.00018817453,0.00016412632,0.0000050855188],"category_scores_gemma":[0.00009845846,0.00018396923,0.00026412163,0.00025432813,0.00011028062,0.0005751154,0.000021333604,0.00036427184,2.6808885e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049032828,0.00011030282,0.00005775169,0.0009758882,0.00040030005,6.0003634e-7,0.0025489875,0.94147515,0.025023568,0.021278184,0.00013356513,0.007946642],"study_design_scores_gemma":[0.0011013446,0.00013408613,0.000565203,0.0004738168,0.00024434316,0.00016154334,0.00015964585,0.98402905,0.011580293,0.0010809653,0.00024967454,0.00022001857],"about_ca_topic_score_codex":8.775586e-7,"about_ca_topic_score_gemma":7.7477915e-7,"teacher_disagreement_score":0.3767627,"about_ca_system_score_codex":0.000040989813,"about_ca_system_score_gemma":0.00003299526,"threshold_uncertainty_score":0.75020474},"labels":[],"label_agreement":null},{"id":"W2123410564","doi":"10.4208/eajam.290712.261012a","title":"Modelling the Floating Ladder Track Response to a Moving Load by an Infinite Bernoulli-Euler Beam on Periodic Flexible Supports","year":2012,"lang":"en","type":"article","venue":"East Asian Journal on Applied Mathematics","topic":"Railway Engineering and Dynamics","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":"University of Victoria","funders":"","keywords":"Moving load; Beam (structure); Vibration; Inertia; Critical speed; Track (disk drive); Bernoulli's principle; Euler's formula; Rotordynamics; Mechanics; Control theory (sociology); Computer science; Physics; Structural engineering; Classical mechanics; Mathematics; Acoustics; Mathematical analysis; Engineering","score_opus":0.013745012018091673,"score_gpt":0.22053298962524231,"score_spread":0.20678797760715065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123410564","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":[0.554334,0.00007755811,0.43436208,0.00026251533,0.00058109564,0.00031160307,0.000028610897,0.0002986701,0.009743856],"genre_scores_gemma":[0.9561838,0.000006920641,0.042625275,0.00012563507,0.0005785496,0.00002026991,0.000008003775,0.0001726539,0.00027889007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978297,0.00003102048,0.0005963816,0.00019152559,0.000614473,0.0007369064],"domain_scores_gemma":[0.99868876,0.00012014546,0.0001272632,0.00048534505,0.00004676318,0.0005317101],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001411763,0.00041075563,0.00034999783,0.00019297603,0.0002964801,0.0002775123,0.00032685453,0.00014333731,0.00010050858],"category_scores_gemma":[0.00007961457,0.00032924634,0.00011100543,0.00026159175,0.000027518052,0.00019762576,0.000028180571,0.00089504226,0.0002702728],"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":[0.00006105955,0.00013234395,0.0000045041547,0.00004502615,0.00004785615,0.0000068766217,0.018318852,0.97180694,0.00518136,0.0005736942,0.00083304686,0.0029884507],"study_design_scores_gemma":[0.00049944595,0.00018004501,0.000017883278,0.00026852568,0.000051824867,0.00022120251,0.0048924875,0.98238856,0.0016401005,0.00025175544,0.0089169545,0.0006712409],"about_ca_topic_score_codex":4.032467e-7,"about_ca_topic_score_gemma":3.2139857e-7,"teacher_disagreement_score":0.4018498,"about_ca_system_score_codex":0.00022058323,"about_ca_system_score_gemma":0.00004742754,"threshold_uncertainty_score":0.99991596},"labels":[],"label_agreement":null},{"id":"W2123703695","doi":"10.1139/t04-067","title":"Vibration barriers for shock-producing equipment","year":2005,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hammer; Cushion; Trench; Embedment; Vibration; Finite element method; Vibration isolation; Structural engineering; Geotechnical engineering; Foundation (evidence); Engineering; Constructability; Ground vibrations; Geology; Layer (electronics); Materials science; Acoustics","score_opus":0.007013768096818656,"score_gpt":0.19897998651735635,"score_spread":0.19196621842053768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123703695","genre_codex":"methods","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":[0.044915795,0.00061785465,0.94841594,0.0030321663,0.0012656972,0.00029075902,0.000056894132,0.00043155387,0.0009733683],"genre_scores_gemma":[0.9886044,0.00004538782,0.010008992,0.0002881712,0.00086349755,0.000015341373,0.000009299871,0.000044940658,0.00011996814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910045,0.0000054750953,0.00023282586,0.000113688904,0.000104583254,0.00044295826],"domain_scores_gemma":[0.99896914,0.000021262758,0.000017267703,0.00014996927,0.00003890593,0.0008034552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024645255,0.0001222184,0.00011672136,0.00018117501,0.00015780899,0.00008694671,0.00015858734,0.00012312755,0.00007463654],"category_scores_gemma":[0.00010595364,0.00012962853,0.000078275436,0.000102363076,0.000015108364,0.0001456849,0.000005796083,0.00033770432,0.000015472036],"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":[0.0000017057125,0.0000012091211,0.0000073666256,0.000008841684,0.000015293088,0.0000041840594,0.000046782836,0.9726828,0.0009397412,0.00027184485,0.008378193,0.017642073],"study_design_scores_gemma":[0.00018554734,0.000028296856,0.00012569262,0.000024607103,0.000010789209,0.000108836444,0.000020420648,0.85130805,0.00043073815,0.00019775375,0.14737487,0.00018439567],"about_ca_topic_score_codex":0.0001378277,"about_ca_topic_score_gemma":0.001736551,"teacher_disagreement_score":0.94368863,"about_ca_system_score_codex":0.0006841677,"about_ca_system_score_gemma":0.00018340786,"threshold_uncertainty_score":0.5286098},"labels":[],"label_agreement":null},{"id":"W2124186947","doi":"10.1139/l08-112","title":"Mechanical behaviour of a hyperelastic pad for an integrated cross-tie trackwork system","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Hyperelastic material; Stiffness; Structural engineering; Compressibility; Elasticity (physics); Elastomer; Materials science; Engineering; Mechanical engineering; Finite element method; Composite material; Aerospace engineering","score_opus":0.008231769306479179,"score_gpt":0.19934795996367244,"score_spread":0.19111619065719326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124186947","genre_codex":"methods","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":[0.36376205,0.00075013447,0.6330333,0.000013695838,0.0017234028,0.0001643082,0.00015474783,0.00017494259,0.00022342723],"genre_scores_gemma":[0.99594533,0.0000075693715,0.0037829375,0.0000047646904,0.00017995287,0.0000038372536,0.000012545343,0.00005294909,0.000010084094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986808,0.000008472195,0.00061179517,0.000113242015,0.00014368344,0.00044205936],"domain_scores_gemma":[0.998795,0.00006456089,0.000080881655,0.00019201271,0.00020156529,0.000665992],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028618498,0.00023987726,0.00043127945,0.00042605668,0.000040685078,0.000063368294,0.00029000448,0.00017941742,0.000011887152],"category_scores_gemma":[0.00012900408,0.00024890475,0.00017631878,0.0002642624,0.00001655812,0.00021313882,0.0000022807617,0.0003637678,0.0000012334579],"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":[0.000008478721,0.000008920029,0.00016458766,0.00014569546,0.000048757465,0.000042899945,0.00011925772,0.99514294,0.0020075315,0.0010743405,0.00015792975,0.0010786566],"study_design_scores_gemma":[0.00078134413,0.0005523112,0.0033063756,0.0006766656,0.00010178298,0.0003999934,0.00012533835,0.99119174,0.00097436446,0.000053085783,0.0014025823,0.00043442595],"about_ca_topic_score_codex":0.000059574853,"about_ca_topic_score_gemma":0.00257676,"teacher_disagreement_score":0.6321833,"about_ca_system_score_codex":0.00029941413,"about_ca_system_score_gemma":0.0002029946,"threshold_uncertainty_score":0.9999963},"labels":[],"label_agreement":null},{"id":"W2125920804","doi":"10.5539/apr.v2n2p198","title":"Influence of Normal Force and Tangential Braking Force on the Fatigue Damage","year":2010,"lang":"en","type":"article","venue":"Applied Physics Research","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National High-tech Research and Development Program; Southwest Jiaotong University; National Natural Science Foundation of China","keywords":"Materials science; Lubricant; Composite material; Structural engineering; Automotive engineering; Mechanics; Physics; Engineering","score_opus":0.022977376631297442,"score_gpt":0.2809473481786766,"score_spread":0.25796997154737916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125920804","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":[0.9800217,0.000007822815,0.004420105,0.000014440267,0.000042716587,0.00018243451,0.000010957351,0.00006214797,0.015237688],"genre_scores_gemma":[0.99945617,0.000011818484,0.00024250103,0.000008195108,0.00011580846,0.00003609032,0.000005539575,0.00003217132,0.00009173665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990944,0.00001099769,0.00011358441,0.00013060083,0.00034210616,0.0003082824],"domain_scores_gemma":[0.9992449,0.00028898357,0.000014336037,0.0003376122,0.000056733134,0.00005738249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003399646,0.00010601222,0.0001033844,0.00005424011,0.00011070623,0.00004247577,0.0002564404,0.000063925254,0.000005515535],"category_scores_gemma":[0.000027090395,0.00008782261,0.000022820108,0.000276292,0.00013604708,0.000064924694,0.00008346449,0.0007266488,0.000010168726],"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":[0.000007451425,0.000009180308,0.000079370104,0.000058015925,0.000015809774,6.176557e-7,0.00028221792,0.5112198,0.37359613,0.112579584,0.000053367425,0.0020984418],"study_design_scores_gemma":[0.0003472352,0.00005212673,0.0054562576,0.000042701107,0.000007800469,0.0000016368368,0.00011275857,0.7748317,0.20855685,0.010012115,0.00029552347,0.00028329794],"about_ca_topic_score_codex":0.000012896354,"about_ca_topic_score_gemma":0.000008912071,"teacher_disagreement_score":0.26361188,"about_ca_system_score_codex":0.000012243029,"about_ca_system_score_gemma":0.00001442924,"threshold_uncertainty_score":0.35813022},"labels":[],"label_agreement":null},{"id":"W2130996920","doi":"10.3141/2289-12","title":"Source of Ballast Fouling and Influence Considerations for Condition Assessment Criteria","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre de Santé et de Services Sociaux Cavendish","funders":"","keywords":"Ballast; Track (disk drive); Track geometry; Warning system; Risk analysis (engineering); Reliability engineering; Engineering; Forensic engineering; Computer science; Mechanical engineering; Telecommunications; Business","score_opus":0.05936092664844729,"score_gpt":0.3779154135092379,"score_spread":0.31855448686079063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130996920","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":[0.94998974,0.00020755867,0.04837074,0.00037813227,0.00032231506,0.0005389865,0.000096615346,0.00003131078,0.00006462285],"genre_scores_gemma":[0.98717684,0.00039643163,0.01212689,0.000010059694,0.00011824595,0.00005929348,0.000015651482,0.00004176158,0.000054855955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9971856,0.00021859266,0.0008569704,0.00013664213,0.0010759594,0.000526245],"domain_scores_gemma":[0.9963851,0.0013159112,0.0001493191,0.00019815148,0.0017062831,0.0002452313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025683783,0.00015189404,0.0002926619,0.00050468446,0.00027228435,0.00007145851,0.00021396627,0.00011731267,0.00005294952],"category_scores_gemma":[0.00019506009,0.00012987677,0.00014730921,0.00049648545,0.00026317957,0.0006335262,0.000002788862,0.0008240084,0.000001236879],"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":[0.00045465407,0.00031553453,0.4023948,0.0026123726,0.0004849803,0.000011016794,0.009031873,0.43885508,0.115806445,0.019221693,0.004773995,0.0060375435],"study_design_scores_gemma":[0.0011145175,0.00028621024,0.9677912,0.00033659497,0.00005813637,0.0000014821535,0.0011741649,0.020264946,0.0032257603,0.0031528652,0.0024100698,0.00018405651],"about_ca_topic_score_codex":0.00042653122,"about_ca_topic_score_gemma":0.0013966247,"teacher_disagreement_score":0.56539637,"about_ca_system_score_codex":0.00011153232,"about_ca_system_score_gemma":0.00014768723,"threshold_uncertainty_score":0.52962214},"labels":[],"label_agreement":null},{"id":"W2135350857","doi":"10.1243/09544097jrrt363","title":"Derailment Risk Due to Coupler Jack-Knifing under Longitudinal Buff Force","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Derailment; RADIUS; Track (disk drive); Structural engineering; Engineering; Physics; Forensic engineering; Computer science; Mechanical engineering; Computer security","score_opus":0.007022189219037449,"score_gpt":0.1901142219730314,"score_spread":0.18309203275399397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135350857","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":[0.89235073,0.00032028678,0.10511737,0.0003959483,0.0013660126,0.00015457443,0.000019245745,0.000046863875,0.00022896803],"genre_scores_gemma":[0.9943597,0.0003171807,0.005102009,0.000018010916,0.00015636734,0.0000032777466,5.7958465e-7,0.000023542809,0.000019340187],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863434,0.0000037771376,0.00061604066,0.00013216902,0.00037689306,0.00023680426],"domain_scores_gemma":[0.99923116,0.000050814415,0.00016863056,0.00009459326,0.00025637908,0.00019841972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005877882,0.0002161063,0.00041721732,0.00016891553,0.000079835474,0.000024504054,0.0002759686,0.00015351592,0.000015589083],"category_scores_gemma":[0.00011775785,0.00016113193,0.00020704273,0.0002597679,0.0000838913,0.00021821701,0.000026221303,0.0006229391,9.286467e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117929325,0.000078016485,0.0001585521,0.0004032708,0.0003230987,0.0000035180883,0.00042739915,0.7526731,0.2229927,0.019201078,0.00036649927,0.003254876],"study_design_scores_gemma":[0.0053001014,0.0011596467,0.008686905,0.0018436324,0.0009812055,0.0014248671,0.0007122836,0.5756613,0.3916124,0.0031020902,0.008177425,0.001338163],"about_ca_topic_score_codex":0.0000041960634,"about_ca_topic_score_gemma":0.0000039932515,"teacher_disagreement_score":0.17701179,"about_ca_system_score_codex":0.00003309089,"about_ca_system_score_gemma":0.00003350545,"threshold_uncertainty_score":0.6570769},"labels":[],"label_agreement":null},{"id":"W2139297261","doi":"10.3233/sav-2011-0624","title":"Dynamic Response of a Beam Subjected to Moving Load and Moving Mass Supported by Pasternak Foundation","year":2012,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Moving load; Deflection (physics); Bending moment; Bending stiffness; Shear and moment diagram; Partial differential equation; Beam (structure); Stiffness; Structural engineering; Dynamic load testing; Added mass; Structural dynamics; Differential equation; Mechanics; Mathematics; Mathematical analysis; Physics; Classical mechanics; Engineering; Finite element method; Vibration; Acoustics","score_opus":0.05449344256229312,"score_gpt":0.4192585857867852,"score_spread":0.3647651432244921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139297261","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":[0.9654406,0.004290391,0.028891096,0.000023297665,0.0005477965,0.00031093968,0.00007065887,0.00012871748,0.0002965342],"genre_scores_gemma":[0.99703306,0.0011159776,0.0014329241,0.000026272457,0.000046130626,0.000022733926,0.000024418618,0.00009530393,0.00020316402],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979247,0.00010253939,0.00074555835,0.00024649588,0.00049066177,0.00049005315],"domain_scores_gemma":[0.9985119,0.0003191286,0.00026425486,0.00037367942,0.00018232231,0.00034871168],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013797029,0.00032298258,0.00057508,0.0006773181,0.000087686145,0.0004058498,0.0007950876,0.00012719222,0.0004748413],"category_scores_gemma":[0.00037857407,0.00034594967,0.00008573537,0.0007390455,0.00004368722,0.0017485743,0.00025338077,0.00029782293,0.000007708674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027371725,0.000052865504,0.08428366,0.00016614799,0.00014175904,0.0000055672886,0.00039989332,0.019797962,0.88813645,0.0000048293664,0.0011551798,0.0055819917],"study_design_scores_gemma":[0.00078649126,0.000030000609,0.8524076,0.00061874784,0.00010605031,0.000030403788,0.00015520267,0.058415804,0.08470191,0.00013853122,0.0018009268,0.0008083493],"about_ca_topic_score_codex":0.00022200833,"about_ca_topic_score_gemma":0.000020555388,"teacher_disagreement_score":0.8034345,"about_ca_system_score_codex":0.00025781358,"about_ca_system_score_gemma":0.000059781763,"threshold_uncertainty_score":0.99989927},"labels":[],"label_agreement":null},{"id":"W2158313933","doi":"10.1115/imece2006-15429","title":"Dynamical Stress Distribution Analysis of a Non-Uniform Cross-Section Beam Under Moving Mass","year":2006,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Deflection (physics); Beam (structure); Moving load; Inertia; Mechanics; Boundary value problem; Conjugate beam method; Added mass; Finite element method; Rotary inertia; Structural engineering; Materials science; Physics; Mathematical analysis; Classical mechanics; Mathematics; Optics; Vibration; Bending stiffness; Engineering; Acoustics","score_opus":0.003509053105918465,"score_gpt":0.20890935745531375,"score_spread":0.2054003043493953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158313933","genre_codex":"methods","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":[0.48114362,0.000008376768,0.517249,0.00000187008,0.00011882116,0.000027149603,0.00011686082,0.0001687233,0.0011656132],"genre_scores_gemma":[0.9973343,0.0000059170634,0.001444817,0.0000013683409,0.00006076817,0.0000051873485,0.00088323146,0.000019784376,0.00024464604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923265,0.0000030810427,0.00027342714,0.00013244167,0.0001494079,0.00020901219],"domain_scores_gemma":[0.9996695,0.000028881728,0.000027567745,0.00018639218,0.000047683778,0.000039996306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070879396,0.00013328275,0.00020725618,0.00017759854,0.000035961406,0.000041271636,0.00007883777,0.00012473599,0.000027237287],"category_scores_gemma":[0.000005838022,0.00013430689,0.0001376316,0.00070061104,0.000024523068,0.000117226366,0.000011728061,0.000117727024,0.0000027631065],"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":[0.0000026374137,0.00001786193,0.013901202,0.00003530157,0.00016708906,6.729716e-7,0.0000063391954,0.97849464,0.0064495336,0.0007933205,0.000024649466,0.000106766216],"study_design_scores_gemma":[0.00010385341,0.000008389119,0.19500868,0.0000065493314,0.000105268104,5.544163e-7,0.000016741109,0.8030131,0.0015421469,0.000058957175,0.000016692682,0.00011908352],"about_ca_topic_score_codex":0.0002947936,"about_ca_topic_score_gemma":0.00024907137,"teacher_disagreement_score":0.51619065,"about_ca_system_score_codex":0.0001852428,"about_ca_system_score_gemma":0.000005993444,"threshold_uncertainty_score":0.5476876},"labels":[],"label_agreement":null},{"id":"W2158978745","doi":"10.5539/mas.v5n2p11","title":"Railway Carriage Model to Study the Influence of Vertical Secondary Stiffness on Ride Comfort of Railway Carbody Running on Curved Tracks","year":2011,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bogie; Vertical displacement; Stiffness; Structural engineering; Displacement (psychology); Suspension (topology); Vertical plane; Euler angles; Nonlinear system; Engineering; Physics; Mathematics; Geometry","score_opus":0.02211340426137903,"score_gpt":0.23450708040889226,"score_spread":0.21239367614751323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158978745","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":[0.9433198,0.000008358262,0.05100537,0.0000033728022,0.000110932044,0.00048819455,0.000016678045,0.00012027326,0.004926996],"genre_scores_gemma":[0.99909085,0.0000016194758,0.00074353773,0.000040642062,0.000012074529,0.000063726526,9.4711555e-7,0.00003942556,0.000007152742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99798435,0.000012830708,0.00044020015,0.00041571932,0.00068101106,0.00046591728],"domain_scores_gemma":[0.9988154,0.000094278344,0.000044171342,0.0008001189,0.00006657056,0.00017943067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068717886,0.0002692276,0.00035947567,0.00020922245,0.00012878138,0.000024907622,0.00093921414,0.00005887594,0.000005585558],"category_scores_gemma":[0.000043368535,0.00021497752,0.000054555465,0.0005459541,0.00024783306,0.000115923875,0.000114358016,0.00038031227,0.000007701221],"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":[0.000063489475,0.00008928285,0.00037092157,0.00002215254,0.00001815896,0.0000020634734,0.006327481,0.8504312,0.13911493,0.0013488049,0.0000018532037,0.0022096578],"study_design_scores_gemma":[0.0004251358,0.00011535265,0.06696344,0.000032177133,0.000018630284,9.088893e-7,0.00032615478,0.9055138,0.025893897,0.00047107987,0.0000010412897,0.00023833194],"about_ca_topic_score_codex":0.00012878515,"about_ca_topic_score_gemma":0.00004804845,"teacher_disagreement_score":0.113221034,"about_ca_system_score_codex":0.0001253293,"about_ca_system_score_gemma":0.0001292165,"threshold_uncertainty_score":0.8766529},"labels":[],"label_agreement":null},{"id":"W2159098248","doi":"10.1177/0954409712441744","title":"Prediction uncertainties and inaccuracies resulting from common assumptions in modelling vibration from underground railways","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Vibration; Track (disk drive); Structural engineering; Computer science; Engineering; Geotechnical engineering; Mechanical engineering; Acoustics","score_opus":0.02054636717291678,"score_gpt":0.19820546617518683,"score_spread":0.17765909900227006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159098248","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":[0.88825524,0.0019339059,0.108926944,0.00013565086,0.00052443135,0.000080811806,0.000047554087,0.000030651943,0.000064817235],"genre_scores_gemma":[0.9940001,0.0015985364,0.0042395717,0.0000050918247,0.00013450555,0.0000021577516,0.0000056960066,0.000012351822,0.000001989422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998945,0.000008654027,0.00058842794,0.00008346654,0.00022187988,0.00015255608],"domain_scores_gemma":[0.9995192,0.00010451944,0.00015845709,0.000050096838,0.00008892152,0.00007875723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040359749,0.00014543005,0.0003063562,0.00014529405,0.000060437065,0.000022932996,0.00010496226,0.00013352718,0.0000023962298],"category_scores_gemma":[0.000060079637,0.00011697849,0.000077113196,0.00016944212,0.00007319448,0.0006653799,0.000016064101,0.00032172826,9.520112e-8],"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":[0.00008452641,0.000047420264,0.0008341738,0.00017493826,0.00012534412,2.857159e-7,0.001922121,0.94261074,0.04599905,0.006819169,0.00002822442,0.0013539798],"study_design_scores_gemma":[0.0011158276,0.000082172155,0.003125919,0.0008544063,0.00015018406,0.000019547851,0.0011111288,0.9732951,0.017890448,0.0018933293,0.00028228288,0.00017968488],"about_ca_topic_score_codex":0.00003583337,"about_ca_topic_score_gemma":0.0000056488575,"teacher_disagreement_score":0.10574486,"about_ca_system_score_codex":0.00004913748,"about_ca_system_score_gemma":0.000013412773,"threshold_uncertainty_score":0.47702444},"labels":[],"label_agreement":null},{"id":"W2162464749","doi":"10.4203/ijrt.1.1.9","title":"Track Stabilisation with Geosynthetics and Geodrains, and Performance Verification through Field Monitoring and Numerical Modelling","year":2012,"lang":"en","type":"article","venue":"International Journal of Railway Technology","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"Advanced Remanufacturing and Technology Centre; Australian Government; CRC for Rail Innovation","keywords":"Geosynthetics; Track (disk drive); Field (mathematics); Computer science; Environmental science; Engineering; Geotechnical engineering; Mechanical engineering; Mathematics","score_opus":0.008822445900382633,"score_gpt":0.21474839116121297,"score_spread":0.20592594526083033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162464749","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":[0.7586048,0.001102164,0.23967019,0.00023628076,0.0002538149,0.00002584302,0.0000014734952,0.000045695808,0.00005974599],"genre_scores_gemma":[0.9730169,0.0016581306,0.025175307,0.000005729506,0.00012215081,0.0000021674132,8.302781e-7,0.000013984477,0.0000047824606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994932,0.000004855008,0.00018697466,0.00006692884,0.00012621169,0.0001218492],"domain_scores_gemma":[0.99969923,0.000054351967,0.00006163752,0.000060730275,0.000084285086,0.000039772585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011229448,0.000091588365,0.00011465664,0.00018063733,0.000026944332,0.000024957484,0.00008023813,0.0000966016,0.0000015475115],"category_scores_gemma":[0.00002878397,0.00008143745,0.000010722598,0.00007483685,0.000046498648,0.0003484283,0.000017955228,0.00022329413,3.436137e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019684988,0.00009645301,0.22983596,0.00016225438,0.00039247202,0.000016548232,0.0038934432,0.44846317,0.0079459725,0.009433813,0.000026779371,0.2995363],"study_design_scores_gemma":[0.000989848,0.00044814282,0.013554856,0.000254667,0.000060041853,0.0016774125,0.00066351757,0.95547014,0.021529695,0.0010122544,0.0039604073,0.00037900909],"about_ca_topic_score_codex":0.0000017625894,"about_ca_topic_score_gemma":1.6043103e-7,"teacher_disagreement_score":0.507007,"about_ca_system_score_codex":0.000035728346,"about_ca_system_score_gemma":0.0000062368135,"threshold_uncertainty_score":0.3320923},"labels":[],"label_agreement":null},{"id":"W2162945900","doi":"10.1177/0954409712447231","title":"A train air brake force model: Car control unit and numerical results","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Pacific Railway (Canada)","funders":"","keywords":"Air brake; Brake; Automotive engineering; Engineering; Brake pad; Cylinder; Mechanical engineering; Computer science","score_opus":0.009222046403452809,"score_gpt":0.19036170231911076,"score_spread":0.18113965591565795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162945900","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":[0.6523023,0.0023447743,0.3428419,0.00075320055,0.00076585135,0.00024749697,0.000100824,0.000088545974,0.0005551017],"genre_scores_gemma":[0.9969966,0.00037667245,0.0024563451,0.000023076922,0.00010949952,0.000002174142,8.345123e-7,0.000019136116,0.000015689026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878997,0.000006174185,0.00059609563,0.00009000518,0.000273598,0.00024418105],"domain_scores_gemma":[0.9993876,0.000055894783,0.00014381197,0.00006214755,0.00014358242,0.00020695072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006049087,0.0001894986,0.00042279245,0.000118051445,0.000048361486,0.00000915418,0.00016383914,0.0001434518,0.0000013132507],"category_scores_gemma":[0.00011163921,0.0001381725,0.00015516138,0.00018599679,0.000096660544,0.00030647172,0.000012560749,0.00035229832,1.345611e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033413334,0.000080595586,0.000048953774,0.0005026832,0.00028605427,0.0000010547681,0.0011426451,0.9169617,0.057725955,0.019924518,0.00020136709,0.0027903013],"study_design_scores_gemma":[0.002961443,0.00026645543,0.0003063644,0.00041116402,0.00027726896,0.0002556423,0.00020942878,0.96932405,0.023672007,0.0003743889,0.0016556521,0.0002861197],"about_ca_topic_score_codex":0.0000012504065,"about_ca_topic_score_gemma":1.9217777e-7,"teacher_disagreement_score":0.34469426,"about_ca_system_score_codex":0.000021893804,"about_ca_system_score_gemma":0.000023800318,"threshold_uncertainty_score":0.5634511},"labels":[],"label_agreement":null},{"id":"W2163435746","doi":"10.1177/1077546312466882","title":"Importance of flexural mode shapes in dynamic analysis of high-speed trains traveling on bridges","year":2013,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Train; Structural engineering; Parametric statistics; Track (disk drive); Beam (structure); Mode (computer interface); Engineering; Flexibility (engineering); Flexural strength; Sensitivity (control systems); Acoustics; Computer science; Mechanical engineering; Physics; Electronic engineering","score_opus":0.004548661543364841,"score_gpt":0.20773344351957554,"score_spread":0.2031847819762107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163435746","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":[0.8572947,0.0001467045,0.14233162,0.00009190723,0.000041655374,0.000046142926,0.000014568066,0.000007975789,0.000024775021],"genre_scores_gemma":[0.9993266,0.000085795,0.0005297548,0.000022672184,0.000017605504,9.251135e-7,0.0000032432167,0.000007940595,0.000005498263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992844,0.000012001887,0.00045902046,0.000048116846,0.0001169612,0.00007952894],"domain_scores_gemma":[0.9996654,0.000052858133,0.0001354677,0.00004911149,0.00005948609,0.00003767046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001036952,0.000078288474,0.00033894586,0.0002729393,0.0000074697705,0.000013981796,0.00004379117,0.000039209284,0.000011713846],"category_scores_gemma":[0.00002119136,0.000068050445,0.00008532163,0.00017916341,0.000011826739,0.00015097614,0.0000015108225,0.00009922122,1.8702617e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002028856,0.000016507282,0.0012266362,0.000018693261,0.00018277028,0.0000012667439,0.00018480331,0.9286544,0.067728244,0.00014396584,0.0000025610957,0.0018198873],"study_design_scores_gemma":[0.0005874718,0.000060006692,0.18389206,0.000026513377,0.0000815268,0.000002055251,0.000067619745,0.8145638,0.0006091512,0.00006051704,5.250523e-7,0.000048721144],"about_ca_topic_score_codex":0.000023029359,"about_ca_topic_score_gemma":0.000075641445,"teacher_disagreement_score":0.18266542,"about_ca_system_score_codex":0.00002426948,"about_ca_system_score_gemma":0.000009774013,"threshold_uncertainty_score":0.27750167},"labels":[],"label_agreement":null},{"id":"W2166012078","doi":"10.1139/t10-099","title":"Cyclic deformation of granular material subjected to moving-wheel loads","year":2011,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hokkaido University","keywords":"Ballast; Structural engineering; Geotechnical engineering; Shear (geology); Settlement (finance); Deformation (meteorology); Direct shear test; Simple shear; Track (disk drive); Triaxial shear test; Granular material; Finite element method; Scale model; Engineering; Materials science; Composite material; Computer science; Mechanical engineering","score_opus":0.007396365505025234,"score_gpt":0.173123689518584,"score_spread":0.16572732401355877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166012078","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":[0.9482256,0.000042206382,0.049642615,0.000042469095,0.0007732975,0.0001035811,0.00005447437,0.00018294994,0.00093278056],"genre_scores_gemma":[0.99772704,0.000017727478,0.0020383045,0.000049190825,0.00010784561,0.0000040549025,0.0000099525405,0.000032526284,0.000013375734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990632,0.000008139216,0.0003405621,0.00007818345,0.00013071435,0.0003791778],"domain_scores_gemma":[0.99909467,0.0000056591493,0.000031734253,0.00018289787,0.000057945246,0.0006271231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016270409,0.0001334569,0.00017439826,0.00036522414,0.000055188157,0.000030916566,0.00024273037,0.00016191651,0.00013225267],"category_scores_gemma":[0.00003631242,0.00013676085,0.000070352304,0.00023225436,0.000021745242,0.00011875157,0.000012301767,0.00030264602,0.000030604653],"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":[0.00009505776,0.00005267481,0.0016443743,0.00021175953,0.00015906151,0.00035226924,0.00161324,0.8935668,0.07246799,0.0019781126,0.0067502153,0.02110843],"study_design_scores_gemma":[0.0028889885,0.00094707235,0.1843737,0.0006323238,0.00021917048,0.003352927,0.00032114374,0.6692635,0.095930494,0.0042103333,0.034900766,0.0029595816],"about_ca_topic_score_codex":0.0029742287,"about_ca_topic_score_gemma":0.0017628333,"teacher_disagreement_score":0.22430332,"about_ca_system_score_codex":0.00023275967,"about_ca_system_score_gemma":0.00008583801,"threshold_uncertainty_score":0.5576946},"labels":[],"label_agreement":null},{"id":"W2166777624","doi":"10.5897/jmer.9000030","title":"Investigation to improve hunting stability of railway carriage using semi-active longitudinal primary stiffness suspension","year":2010,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bogie; Tangent; Suspension (topology); Structural engineering; Stiffness; Displacement (psychology); Vertical displacement; Engineering; Nonlinear system; Coil spring; Subgrade; Control theory (sociology); Spring (device); Mathematics; Computer science; Physics; Geometry","score_opus":0.04101054787230986,"score_gpt":0.28415078785112646,"score_spread":0.24314023997881662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166777624","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":[0.94357663,0.000024486899,0.054327022,0.00002311783,0.0010463478,0.000458073,0.00004118215,0.00038529135,0.000117866],"genre_scores_gemma":[0.9872132,0.00000473645,0.012354193,0.000003514819,0.00024134149,0.00004072793,0.00002090295,0.000110354806,0.0000110486135],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973482,0.000050834627,0.0005159886,0.0004894054,0.00078475726,0.00081085373],"domain_scores_gemma":[0.99801457,0.00050253625,0.0000367325,0.00065538683,0.00037549756,0.00041528558],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017099299,0.00030655667,0.0004476001,0.00042210982,0.00010309868,0.00006545473,0.00038612218,0.00029659647,0.00003796548],"category_scores_gemma":[0.0012921146,0.0003328898,0.00010233089,0.0010021995,0.00006657077,0.00023701946,0.00024642964,0.0015628055,0.000011315702],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023318467,0.000015034617,0.00011587009,0.0003811321,0.000024989162,0.000006538881,0.00014983802,0.1608347,0.83640105,0.0007131388,0.000008046787,0.0013263754],"study_design_scores_gemma":[0.0002287574,0.000054787517,0.0034261476,0.000107706146,0.0000099138515,0.00000681294,0.00004183083,0.6314544,0.36426142,0.00008533611,0.00005388879,0.00026897853],"about_ca_topic_score_codex":0.00012911309,"about_ca_topic_score_gemma":0.000031436826,"teacher_disagreement_score":0.4721396,"about_ca_system_score_codex":0.00033690917,"about_ca_system_score_gemma":0.000097099175,"threshold_uncertainty_score":0.9999123},"labels":[],"label_agreement":null},{"id":"W2170772066","doi":"10.5539/esr.v1n2p137","title":"Effects of Geometrical Properties of Rectangular Trenches Intended for Passive Isolation in Sandy Soils","year":2012,"lang":"en","type":"article","venue":"Earth Science Research","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Trench; Finite element method; Vibration; Geotechnical engineering; Structural engineering; Parametric statistics; Geology; Vibration isolation; Soil water; RADIUS; Shallow foundation; Shallow trench isolation; Engineering; Acoustics; Materials science; Computer science; Bearing capacity; Physics; Composite material","score_opus":0.03652329396607218,"score_gpt":0.29595735805732276,"score_spread":0.2594340640912506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170772066","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":[0.9907056,0.00081135414,0.0078249425,0.00001031811,0.000116228446,0.00026582912,0.0000019681304,0.000023540584,0.00024019051],"genre_scores_gemma":[0.9976308,0.000042257958,0.0022145219,4.2201705e-7,0.000030086474,0.000032423784,6.050089e-7,0.000007637922,0.000041292238],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885166,0.00002502388,0.00016184684,0.00010108742,0.0004226682,0.00043771233],"domain_scores_gemma":[0.99938464,0.00024592792,0.000015429148,0.00011870254,0.00015604131,0.000079237274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013373153,0.0000596737,0.00013740182,0.00086911255,0.000036752135,0.000014496273,0.0001680302,0.000044632176,0.0000018452539],"category_scores_gemma":[0.0014528433,0.00004925467,0.000027824784,0.0018854057,0.00023439949,0.00023987422,0.000032292763,0.00014534492,0.0000018584627],"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":[0.000021886446,0.00006552545,0.0025856798,0.0006105478,0.0000073856186,4.5938097e-7,0.001601003,0.020581122,0.9571749,0.00068633474,0.00001835055,0.016646802],"study_design_scores_gemma":[0.00019355275,0.00010612753,0.033586055,0.00011002003,0.0000015926985,6.792057e-7,0.00010534025,0.33798105,0.6277553,0.00006274176,0.000033329678,0.000064224965],"about_ca_topic_score_codex":0.000026692527,"about_ca_topic_score_gemma":0.000004365238,"teacher_disagreement_score":0.3294196,"about_ca_system_score_codex":0.000049202663,"about_ca_system_score_gemma":0.00005662666,"threshold_uncertainty_score":0.20085472},"labels":[],"label_agreement":null},{"id":"W2171037110","doi":"10.1504/ijhvs.2007.013261","title":"Application of SQP and dynamic mode tracking to the determination of the critical speed of rail vehicles","year":2007,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Bombardier","keywords":"Sequential quadratic programming; Critical speed; Control theory (sociology); Engineering; Mode (computer interface); Rotor (electric); Vehicle dynamics; Dynamic programming; Stability (learning theory); Control engineering; Quadratic programming; Computer science; Algorithm; Automotive engineering; Mathematical optimization; Mathematics; Artificial intelligence; Mechanical engineering","score_opus":0.0070350485587890805,"score_gpt":0.26742710874962206,"score_spread":0.260392060190833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171037110","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":[0.7761332,0.00032231474,0.22257455,0.00020167766,0.0005928034,0.000090755944,0.000017595665,0.0000076132237,0.000059492068],"genre_scores_gemma":[0.99925035,0.00001828853,0.000602234,0.0000065886184,0.000101353726,0.0000010660805,7.678135e-7,0.000012982482,0.000006371794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988008,0.000024622934,0.0006169364,0.00005552837,0.0004118052,0.00009026408],"domain_scores_gemma":[0.9990087,0.00023370468,0.00018593945,0.00011728834,0.0004164015,0.00003796096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059297174,0.000074451025,0.0001702586,0.0001329665,0.000017720802,0.00001616538,0.00028800976,0.00004954423,4.76943e-7],"category_scores_gemma":[0.0001312159,0.000052144165,0.00006984724,0.000111690446,0.00004776741,0.00009905766,0.000023284438,0.00012519558,3.443746e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009488692,0.00006233734,0.0053721755,0.00027266203,0.000099192526,0.0000037875866,0.0012457033,0.5972588,0.35644522,0.0029017148,0.00002430812,0.036219195],"study_design_scores_gemma":[0.00024457934,0.000047865862,0.03020123,0.00029019147,0.000018985525,0.000094474315,0.00025499208,0.94459885,0.023919918,0.00014351842,0.00012490127,0.000060491835],"about_ca_topic_score_codex":0.000052308613,"about_ca_topic_score_gemma":0.000021837359,"teacher_disagreement_score":0.34734005,"about_ca_system_score_codex":0.00007029656,"about_ca_system_score_gemma":0.0000161697,"threshold_uncertainty_score":0.21263774},"labels":[],"label_agreement":null},{"id":"W2172013627","doi":"10.1139/l02-109","title":"Dynamic response of a beam on a frequency-independent damped elastic foundation to moving load","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Texas Department of Transportation","keywords":"Moving load; Fourier transform; Harmonic; Amplitude; Beam (structure); Displacement (psychology); Frequency domain; Transient (computer programming); Physics; Constant (computer programming); Mechanics; Mathematics; Mathematical analysis; Acoustics; Optics; Vibration; Computer science","score_opus":0.004658177563560383,"score_gpt":0.1844025007116152,"score_spread":0.17974432314805483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172013627","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":[0.7719493,0.00041887275,0.2247829,0.000026691345,0.0014530151,0.00012275376,0.000015422273,0.000066340675,0.001164688],"genre_scores_gemma":[0.99720854,0.000012487013,0.0026004221,0.000013516636,0.0000390188,0.000004482415,0.0000016900735,0.00007517238,0.000044651097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985948,0.000022895312,0.00051866926,0.00012704737,0.00029861066,0.00043793026],"domain_scores_gemma":[0.99873376,0.00016318563,0.0000746834,0.00024063284,0.00015690771,0.00063081284],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006334407,0.0002396517,0.00031948488,0.00086698966,0.000038748178,0.000047267695,0.00022154511,0.00010709388,0.00005959024],"category_scores_gemma":[0.0010461758,0.00027352647,0.00011236565,0.0004221923,0.000013847778,0.00014970682,0.000004546192,0.00036897566,0.000014409988],"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":[0.000016706548,0.0000051700804,0.00007489305,0.00006952406,0.000055348246,0.00007261083,0.00035942116,0.96673787,0.032003988,0.00036458677,0.000050478837,0.00018943686],"study_design_scores_gemma":[0.0027182004,0.0013761838,0.027621007,0.0031576222,0.00019325902,0.0010845739,0.0004148755,0.9384675,0.013170674,0.0005121978,0.009179101,0.002104791],"about_ca_topic_score_codex":0.00008977743,"about_ca_topic_score_gemma":0.0109175,"teacher_disagreement_score":0.22525924,"about_ca_system_score_codex":0.0011070059,"about_ca_system_score_gemma":0.00061195827,"threshold_uncertainty_score":0.9999717},"labels":[],"label_agreement":null},{"id":"W2175480962","doi":"10.1642/0004-8038(2000)117[0522:moddid]2.0.co;2","title":"Measurements of Diving Depth in Dovekies (Alle alle)","year":2000,"lang":"en","type":"article","venue":"The Auk","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":27,"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":"Division of Arctic Sciences; Division of Ocean Sciences; National Science Council; University of Saskatchewan","keywords":"Environmental science; Aeronautics; Geology; Marine engineering; Geography; Engineering","score_opus":0.016236268510972474,"score_gpt":0.201285519499006,"score_spread":0.18504925098803351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175480962","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":[0.9694643,0.00039552065,0.00062607165,0.000023649009,0.000083964995,0.000052793283,0.0000017387331,0.00011020344,0.029241778],"genre_scores_gemma":[0.9991889,0.00006955592,0.00037986398,0.000007759434,0.000020960506,0.000004087801,0.0000013743977,0.000016365433,0.0003111556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999588,0.000008894621,0.00011520122,0.000051245275,0.00010174607,0.00013489074],"domain_scores_gemma":[0.9997824,0.000020609143,0.0000059473978,0.00016772647,0.000006290193,0.000017055334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001362979,0.00007022609,0.00008957468,0.000029716299,0.00001465966,0.000006901774,0.00013008567,0.000026313448,0.000059054924],"category_scores_gemma":[0.000009749058,0.00005576207,0.000023937651,0.00009121726,0.000013099885,0.00003813332,0.0000093612025,0.000078293364,0.000025262874],"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":[0.0000031406053,0.000009006858,0.0031305957,0.000024969288,0.000019340976,8.632737e-7,0.0005837235,0.9833511,0.0020723091,0.000028455512,0.00009596861,0.010680531],"study_design_scores_gemma":[0.0008357059,0.00004293606,0.18024507,0.00019196345,0.000024453238,0.000006887167,0.00012924615,0.8073224,0.0079636695,0.0003879616,0.002413093,0.00043661258],"about_ca_topic_score_codex":0.000059240654,"about_ca_topic_score_gemma":0.00014392908,"teacher_disagreement_score":0.17711447,"about_ca_system_score_codex":0.000023412573,"about_ca_system_score_gemma":0.000003310555,"threshold_uncertainty_score":0.22739112},"labels":[],"label_agreement":null},{"id":"W2189287091","doi":"10.1139/tcsme-2008-0038","title":"INFLUENCES OF RAIL SUPPORT CONDITIONS ON MECHANICAL BEHAVIOR OF RAILWAY TRACK SYSTEM","year":2008,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Tehran University of Medical Sciences and Health Services","keywords":"Ballast; Track (disk drive); Deflection (physics); Parametric statistics; Bending moment; Structural engineering; Reliability (semiconductor); Engineering; Sensitivity (control systems); Computer science; Mechanical engineering; Mathematics","score_opus":0.01203907882228296,"score_gpt":0.20410289759184302,"score_spread":0.19206381876956005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189287091","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":[0.7958712,0.00008916107,0.19774799,0.000095231444,0.0016941943,0.0010932459,0.0028036225,0.00042603764,0.0001792946],"genre_scores_gemma":[0.99534553,0.000020641142,0.004388607,0.000009569283,0.00002629699,0.00009479248,0.00001504342,0.000055251734,0.000044285058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873555,0.000007368631,0.00052719755,0.00015549315,0.00024204236,0.00033236062],"domain_scores_gemma":[0.9991354,0.00013291977,0.000064242144,0.00036029096,0.00009371536,0.0002134284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016774138,0.00020943856,0.00039750233,0.00011033909,0.00013058686,0.0000048590255,0.0003311719,0.00024610365,0.00002540245],"category_scores_gemma":[0.000026345035,0.00020117372,0.00076684484,0.00035264643,0.00007601497,0.00007727727,0.000004207258,0.0002944099,0.000001196354],"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":[0.000005497341,0.00003790857,0.000005348012,0.00052866526,0.0002219536,0.000001206234,0.00022292016,0.94755304,0.0444952,0.006625421,0.00012317671,0.00017966783],"study_design_scores_gemma":[0.0012681836,0.00031753862,0.00086009526,0.00042631337,0.0005075066,0.00009115096,0.00044564754,0.7498391,0.24481069,0.000055466975,0.0007550128,0.0006232656],"about_ca_topic_score_codex":0.00080337527,"about_ca_topic_score_gemma":0.0009123022,"teacher_disagreement_score":0.20031548,"about_ca_system_score_codex":0.0002625368,"about_ca_system_score_gemma":0.00016186056,"threshold_uncertainty_score":0.8203626},"labels":[],"label_agreement":null},{"id":"W2209309308","doi":"","title":"Prediction inaccuracies and uncertainties associated with common assumptions in modelling vibration from underground railways","year":2011,"lang":"en","type":"article","venue":"ePrints Soton (University of Southampton)","topic":"Railway Engineering and Dynamics","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":"McGill University","funders":"","keywords":"Vibration; Track (disk drive); Ground vibrations; Computer science; Structural engineering; Engineering; Numerical analysis; Mathematics; Mechanical engineering; Acoustics","score_opus":0.0290031165771799,"score_gpt":0.16336242489736652,"score_spread":0.1343593083201866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2209309308","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":[0.7803432,0.000024600706,0.21814616,0.0000070245046,0.00004961841,0.00008086132,0.00006122489,0.00015797552,0.0011293846],"genre_scores_gemma":[0.99663275,0.00007700287,0.0031302304,0.0000016039187,0.0000060438483,6.3447084e-7,0.00007254762,0.000014458872,0.0000647102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994797,0.000019205727,0.000109287794,0.00014911611,0.000107533306,0.00013517335],"domain_scores_gemma":[0.9996933,0.000049248967,0.000047199508,0.00013468243,0.000030574556,0.000045014553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008882824,0.00011708301,0.0001691922,0.0001501733,0.000077128905,0.00001315444,0.00008973999,0.00010856291,0.000052726704],"category_scores_gemma":[0.000006659237,0.00014478329,0.000026481252,0.00014991596,0.000080925405,0.00033086594,0.00003116056,0.00016651645,0.0000050946937],"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":[0.00005252898,0.000059632614,0.08623503,0.000040693096,0.00013097668,0.0000075520293,0.019119048,0.8924382,0.0003985194,0.001005519,0.000012395936,0.0004999273],"study_design_scores_gemma":[0.000488869,0.000029484045,0.2016928,0.00011513582,0.000028212704,9.4010545e-7,0.005251479,0.79087955,0.000084759486,0.0012616353,0.000014992013,0.00015214435],"about_ca_topic_score_codex":0.0012583319,"about_ca_topic_score_gemma":0.0014105845,"teacher_disagreement_score":0.21628962,"about_ca_system_score_codex":0.00009786148,"about_ca_system_score_gemma":0.000010857007,"threshold_uncertainty_score":0.5904091},"labels":[],"label_agreement":null},{"id":"W2238261601","doi":"10.1177/0954409714545558","title":"Impact analysis due to multiple wheel flats in three-dimensional railway vehicle-track system model and development of a smart wheelset","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bogie; Track (disk drive); Acceleration; Structural engineering; Automotive engineering; Phase (matter); Development (topology); Stress (linguistics); Engineering; Mechanical engineering; Physics","score_opus":0.009158160083125625,"score_gpt":0.19772418066622227,"score_spread":0.18856602058309666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2238261601","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":[0.8853035,0.0001684893,0.114173144,0.000046760797,0.00012746589,0.00011764223,0.000018091689,0.000020605376,0.000024281435],"genre_scores_gemma":[0.988705,0.000028457454,0.011218686,0.000004271857,0.000022214917,0.0000032474982,0.0000012046326,0.000015163611,0.0000017828064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984532,0.0000077974255,0.00084211864,0.00013917747,0.00035837517,0.00019931608],"domain_scores_gemma":[0.99929583,0.000065124026,0.00017514745,0.00007932143,0.00021491361,0.00016969067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008937165,0.00020989712,0.0006729042,0.00041099975,0.00004049006,0.00001107746,0.00018139191,0.0001316186,0.0000016309273],"category_scores_gemma":[0.00009089434,0.00015419336,0.0001918187,0.0004503371,0.000052592,0.0001712945,0.00002726127,0.00025090278,1.7559124e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013980089,0.000045046276,0.0007181961,0.0004824042,0.00039266757,7.988811e-7,0.00044004704,0.95746195,0.037708767,0.0008412192,0.00001280691,0.0017563197],"study_design_scores_gemma":[0.0011071273,0.00013640382,0.005308048,0.0005651647,0.00018801345,0.00003897229,0.000058207635,0.97843397,0.013918388,0.000045827477,0.000031214142,0.0001686631],"about_ca_topic_score_codex":0.0000051149905,"about_ca_topic_score_gemma":0.00001818034,"teacher_disagreement_score":0.10340145,"about_ca_system_score_codex":0.00006506248,"about_ca_system_score_gemma":0.000051673123,"threshold_uncertainty_score":0.6287823},"labels":[],"label_agreement":null},{"id":"W2278070904","doi":"10.1139/cgj-2015-0268","title":"Evaluating railway track support stiffness from trackside measurements in the absence of wheel load data","year":2016,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Track (disk drive); Stiffness; Train; Track geometry; Acceleration; Axle load; Range (aeronautics); Axle; Structural engineering; Displacement (psychology); Computer science; Point (geometry); Engineering; Mathematics; Mechanical engineering; Geometry; Physics","score_opus":0.06800658875842588,"score_gpt":0.2836949434639138,"score_spread":0.2156883547054879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278070904","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":[0.9491736,0.00070605683,0.04594673,0.0012144144,0.00096558844,0.00032642687,0.0006998971,0.0001287385,0.0008385446],"genre_scores_gemma":[0.99862283,0.00006325471,0.001018357,0.00007700524,0.00014516951,0.0000045534684,0.000014614321,0.000029757091,0.00002446873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818283,0.000060852282,0.00051472784,0.00020258139,0.0005699621,0.00046904746],"domain_scores_gemma":[0.9986363,0.00019498671,0.000063618245,0.000697171,0.00009012763,0.00031781284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017467007,0.00017008398,0.00022798633,0.00014032918,0.000059111884,0.000052993342,0.0011836981,0.00014459636,0.00013929386],"category_scores_gemma":[0.0005632729,0.00011414748,0.000056846326,0.00021129772,0.00006034777,0.0002485425,0.000029846555,0.00051152345,0.000021311063],"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":[0.00003247729,0.00005914508,0.0027421757,0.000058164955,0.00014764983,0.00030027668,0.0006145656,0.5044699,0.047412362,0.00008232571,0.010516051,0.43356493],"study_design_scores_gemma":[0.0038154542,0.00019186886,0.21814628,0.0013898747,0.00012357275,0.0007020637,0.00034402634,0.7533599,0.00095425453,0.0021038605,0.017544033,0.0013248067],"about_ca_topic_score_codex":0.0025836807,"about_ca_topic_score_gemma":0.012572751,"teacher_disagreement_score":0.43224013,"about_ca_system_score_codex":0.00042191576,"about_ca_system_score_gemma":0.0005280954,"threshold_uncertainty_score":0.70158905},"labels":[],"label_agreement":null},{"id":"W2286287075","doi":"","title":"Are maintenance practices for railroad tracks effective","year":2005,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Covariate; Track (disk drive); Poisson distribution; Grinding; Econometrics; Transport engineering; Engineering; Scale (ratio); Set (abstract data type); Poisson regression; Computer science; Statistics; Mathematics; Geography; Mechanical engineering; Cartography","score_opus":0.008306787378581988,"score_gpt":0.2378944375701705,"score_spread":0.22958765019158853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286287075","genre_codex":"methods","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":[0.17549047,0.0007438064,0.7746588,0.00068245875,0.0008095561,0.00085589563,0.000052426592,0.002092041,0.04461456],"genre_scores_gemma":[0.97751385,0.000034000317,0.018961968,0.00008804306,0.00026907973,0.00013245307,0.0000049938712,0.000042768268,0.0029528285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994904,0.000004328503,0.00010569147,0.00012034182,0.00005741806,0.00022186137],"domain_scores_gemma":[0.9995706,0.00015827385,0.000054546952,0.00013283786,0.00003283608,0.000050868584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015513,0.000119647295,0.000122989,0.000039556442,0.000027684157,0.000027956065,0.00008072101,0.000063016916,0.00001763994],"category_scores_gemma":[0.00017558479,0.00010774507,0.0000549315,0.00006581729,0.00000952017,0.00018011837,0.000005580208,0.00010395458,0.000050298648],"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":[0.000020294165,0.00003040182,0.00015165766,0.00016374259,0.00007486394,0.0000032032956,0.00017236188,0.8940741,0.0012991576,0.002006491,0.016451525,0.0855522],"study_design_scores_gemma":[0.00037487727,0.000022661976,0.0019284583,0.000024311381,0.000012844663,0.000007884852,0.000066844594,0.80820733,0.0015616107,0.000068667636,0.18753022,0.00019430993],"about_ca_topic_score_codex":0.0000034671612,"about_ca_topic_score_gemma":0.00004057348,"teacher_disagreement_score":0.8020234,"about_ca_system_score_codex":0.000059204875,"about_ca_system_score_gemma":0.000003031798,"threshold_uncertainty_score":0.43937165},"labels":[],"label_agreement":null},{"id":"W2299951517","doi":"10.1680/jgeen.15.00171","title":"Measurement of rail deflection on soft subgrades using DIC","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Geotechnical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Track (disk drive); Displacement (psychology); Train; High-speed camera; Digital camera; Digital image correlation; Computer vision; Deflection (physics); Computer science; Artificial intelligence; Vibration; Video camera; Acoustics; Measure (data warehouse); Optics; Physics","score_opus":0.012977913721543092,"score_gpt":0.1959995839852729,"score_spread":0.1830216702637298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299951517","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":[0.6215548,0.0004371299,0.37532228,0.000062793806,0.0009245746,0.0003682871,0.000022636974,0.00067580194,0.0006317098],"genre_scores_gemma":[0.998357,0.000083959334,0.0014089423,0.0000024650294,0.00006572683,0.000015597365,4.1294112e-7,0.000059018672,0.000006899019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806577,0.0000031492639,0.00068223634,0.00021721896,0.0006830659,0.00034858356],"domain_scores_gemma":[0.99919623,0.00005364418,0.00015843708,0.0002314188,0.00026726318,0.00009303248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043842837,0.0003257432,0.00044723548,0.00038103916,0.00003876685,0.0000094364295,0.00040676098,0.0002256033,0.0000042323168],"category_scores_gemma":[0.00054590404,0.00024095848,0.00025018572,0.00067103765,0.00013047982,0.00023552903,0.000061021547,0.00028086265,9.789568e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011943676,0.00002414742,0.000059923426,0.00040102904,0.00005281086,1.2791915e-7,0.000018856985,0.6048159,0.38864908,0.0055413246,0.000016127871,0.00040874124],"study_design_scores_gemma":[0.00061084516,0.0001157496,0.0014284694,0.0023388695,0.00008382612,0.000017496055,0.000013215082,0.5700201,0.42440093,0.0001513527,0.00044252523,0.00037665915],"about_ca_topic_score_codex":0.000008646645,"about_ca_topic_score_gemma":0.00000197071,"teacher_disagreement_score":0.3768022,"about_ca_system_score_codex":0.0003403002,"about_ca_system_score_gemma":0.000040040348,"threshold_uncertainty_score":0.9826002},"labels":[],"label_agreement":null},{"id":"W2313105454","doi":"10.1007/978-3-319-17843-1_3","title":"Analysis by Computer","year":2015,"lang":"en","type":"book-chapter","venue":"Bridges","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Finite element method; Idealization; Bridge (graph theory); Structural engineering; Simple (philosophy); Range (aeronautics); Computer science; Superstructure; Term (time); Engineering","score_opus":0.010491772218044136,"score_gpt":0.19043275071572022,"score_spread":0.17994097849767607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313105454","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018091871,0.009055289,0.24777654,0.000031008967,0.0011951061,0.00012344445,0.00090903876,0.0016684791,0.73906016],"genre_scores_gemma":[0.01417487,0.0009089283,0.0019356268,0.000041813444,0.0009483286,0.0000072544076,0.0017020281,0.00029554433,0.9799856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.999299,0.0000016939811,0.00017313869,0.0001827829,0.00017708541,0.00016629805],"domain_scores_gemma":[0.9995125,0.0000173739,0.000023370938,0.0003009615,0.00003843683,0.00010736066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000051114803,0.00027251773,0.000381899,0.00019162826,0.000012893786,0.000034832712,0.0001473746,0.00022578565,0.000078472796],"category_scores_gemma":[0.0000017430335,0.00029483886,0.00017804027,0.000044173918,0.000018305243,0.000028330649,0.000025349493,0.00021443305,0.00021265277],"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":[9.1690487e-7,0.0000026389432,0.000017912427,0.00005440089,0.0011063418,0.000014026717,0.000018888575,0.68743914,0.0000045886377,0.002920241,0.29935977,0.009061104],"study_design_scores_gemma":[0.00005961024,0.000010387925,0.000047043664,0.000022181974,0.00031379203,0.0000034458005,4.3829493e-7,0.41580707,0.0000036518225,0.00011411039,0.58327705,0.00034124375],"about_ca_topic_score_codex":0.000005619871,"about_ca_topic_score_gemma":0.0000056673075,"teacher_disagreement_score":0.28391728,"about_ca_system_score_codex":0.00008474944,"about_ca_system_score_gemma":0.000008448124,"threshold_uncertainty_score":0.99995035},"labels":[],"label_agreement":null},{"id":"W2317693771","doi":"10.1016/j.ijsolstr.2016.03.027","title":"Dynamic response of an infinite beam supported by a saturated poroelastic halfspace and subjected to a concentrated load moving at a constant velocity","year":2016,"lang":"en","type":"article","venue":"International Journal of Solids and Structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"China Scholarship Council","keywords":"Poromechanics; Beam (structure); Stiffness; Moving load; Mathematical analysis; Boundary value problem; Half-space; Constant (computer programming); Mechanics; Mathematics; Materials science; Physics; Finite element method; Optics; Porous medium; Composite material; Porosity","score_opus":0.0035309832333080674,"score_gpt":0.21842452330269746,"score_spread":0.2148935400693894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317693771","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":[0.9932973,0.00026561721,0.0056752865,0.00012646313,0.0002649191,0.000052315,0.00027201246,0.000031784344,0.000014325137],"genre_scores_gemma":[0.9987978,0.00013816389,0.00096512714,0.000025224914,0.000022294882,6.550911e-7,0.000009563905,0.000016514688,0.00002468849],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99909776,0.000027259126,0.00035192387,0.00010425296,0.0002674273,0.00015135508],"domain_scores_gemma":[0.9991712,0.00015575369,0.00011719821,0.000066631255,0.00032749915,0.00016169107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015265371,0.00014612271,0.00021992475,0.00015159285,0.000025254709,0.000041108437,0.00012376168,0.00007500207,0.00001865367],"category_scores_gemma":[0.00022791555,0.0001064859,0.000030816987,0.00008351179,0.00007748636,0.00013820373,0.000029469918,0.000112871945,2.3905187e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012374838,0.000011075,0.0013375996,0.000017519133,0.00023653056,0.00006709937,0.0006350686,0.008298946,0.9850802,0.00007702405,0.0001541443,0.0028473067],"study_design_scores_gemma":[0.01091457,0.0017812789,0.5259861,0.0011092209,0.00018821182,0.0044300454,0.00067864155,0.25933012,0.19111687,0.0015087851,0.0015947861,0.0013614051],"about_ca_topic_score_codex":0.000015169584,"about_ca_topic_score_gemma":0.000025392972,"teacher_disagreement_score":0.7939633,"about_ca_system_score_codex":0.00016937914,"about_ca_system_score_gemma":0.0000669189,"threshold_uncertainty_score":0.4342369},"labels":[],"label_agreement":null},{"id":"W2334914021","doi":"10.1115/rtdf2012-9432","title":"Paperless Track Inspection Record Keeping and Compliance","year":2012,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"Canadian Pacific Railway (Canada)","funders":"","keywords":"Track (disk drive); Software deployment; Engineering; Track circuit; Transport engineering; Computer science; Telecommunications; Software engineering","score_opus":0.018277786666627393,"score_gpt":0.21595890061378886,"score_spread":0.19768111394716148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334914021","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":[0.83454025,0.000747645,0.11547302,0.000020890195,0.0009901687,0.000059210175,0.0000021416258,0.001489891,0.046676807],"genre_scores_gemma":[0.99462146,0.0001354639,0.004908128,0.000019882833,0.00012462604,0.000003852288,0.000001817778,0.00001860381,0.00016617823],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966735,0.000002529748,0.000075391355,0.00005465456,0.00003557128,0.0001645093],"domain_scores_gemma":[0.9998359,0.000014893926,0.000004949243,0.00007557568,0.0000060123034,0.00006264272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045512366,0.00007097395,0.00007016399,0.000026546944,0.000029348776,0.000015153052,0.000026356929,0.000036894,0.000012261433],"category_scores_gemma":[0.0000043179384,0.00007312957,0.000012723338,0.000060413728,0.000008864011,0.00014954596,0.0000059031295,0.000077823606,0.00002694423],"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":[0.000017682063,0.00012530036,0.10478488,0.0011677888,0.00017537549,0.0000056982176,0.0032289198,0.26997566,0.038464043,0.029257601,0.0043760617,0.54842097],"study_design_scores_gemma":[0.00018155416,0.0000127248095,0.07647888,0.000044023865,0.000007807753,0.000025620453,0.000116151816,0.90876526,0.0006863956,0.000070382615,0.013309239,0.00030198437],"about_ca_topic_score_codex":0.000007718334,"about_ca_topic_score_gemma":0.000008354512,"teacher_disagreement_score":0.6387896,"about_ca_system_score_codex":0.00002497851,"about_ca_system_score_gemma":8.2900533e-7,"threshold_uncertainty_score":0.29821372},"labels":[],"label_agreement":null},{"id":"W2335238675","doi":"10.1115/imece2009-10033","title":"Analysis of In-Plane Modal Characteristics of an Annular Disk With Multiple Point Supports","year":2009,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Concordia University","funders":"","keywords":"Vibration; Normal mode; Point (geometry); Modal; Isotropy; Boundary (topology); Boundary value problem; Finite element method; Modal analysis; Mathematical analysis; Plane (geometry); Mode (computer interface); Rayleigh–Ritz method; Rayleigh scattering; Constraint (computer-aided design); Geometry; Mathematics; Physics; Acoustics; Optics; Materials science; Computer science","score_opus":0.0025568385593475688,"score_gpt":0.17777126754289868,"score_spread":0.1752144289835511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335238675","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":[0.96303594,0.000010058506,0.03638094,0.0000047065596,0.000023805898,0.000047213758,0.00008455483,0.00007843443,0.00033432076],"genre_scores_gemma":[0.9955367,0.00001085829,0.004233981,0.000004368357,0.000008151619,0.0000010682776,0.00017336322,0.000012068999,0.000019439707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938947,0.0000048250877,0.00025811116,0.00009805076,0.00010760271,0.00014193603],"domain_scores_gemma":[0.9996352,0.000017239568,0.000031055606,0.00023412779,0.00002735109,0.000055020097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006782021,0.000108909226,0.00032654346,0.00027144846,0.0000046591026,0.0000050496965,0.000071073795,0.00004725142,0.000021834217],"category_scores_gemma":[0.000009001616,0.0000947347,0.000043737287,0.00040100433,0.000011761529,0.000078283956,0.000003989238,0.0000669216,4.2835023e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021555732,0.00008241717,0.10312623,0.000036821562,0.00015171901,0.000022221082,0.00022162836,0.8888805,0.0045856354,0.00010586618,0.0000031506781,0.0027622876],"study_design_scores_gemma":[0.00012563595,0.00007344932,0.41893977,0.000007883836,0.00006534498,0.0000016813295,0.000023087707,0.57960254,0.0010682028,0.000005828904,0.000005988065,0.0000806112],"about_ca_topic_score_codex":0.000057398993,"about_ca_topic_score_gemma":0.000112592126,"teacher_disagreement_score":0.31581354,"about_ca_system_score_codex":0.000016185753,"about_ca_system_score_gemma":0.000005803085,"threshold_uncertainty_score":0.3863169},"labels":[],"label_agreement":null},{"id":"W2335275161","doi":"10.2749/222137813808626759","title":"Dynamic Train-Bridge Interaction in Monorail Sao Paulo Metro Line 2","year":2013,"lang":"en","type":"article","venue":"Report","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bogie; Monorail; Bridge (graph theory); Track (disk drive); Structural engineering; Engineering; Line (geometry); Frame (networking); Vibration; Computer science; Mechanical engineering; Acoustics; Physics","score_opus":0.00945045663269553,"score_gpt":0.23214434193207434,"score_spread":0.2226938852993788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335275161","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":[0.9702172,0.00011424699,0.0243251,0.00005536276,0.000700496,0.00015054,0.0000038407134,0.0004379162,0.00399528],"genre_scores_gemma":[0.997437,0.000036030437,0.0016178704,0.000010923617,0.000050778563,0.000045921508,0.0000537686,0.000046008307,0.00070168334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910057,0.000006708792,0.0003690922,0.00017034929,0.000114802715,0.00023845409],"domain_scores_gemma":[0.9995595,0.000026980533,0.000037210488,0.00027652588,0.000029500432,0.00007028567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014078217,0.00015163478,0.00018803323,0.00017100414,0.000013671166,0.00003612764,0.000072678915,0.00008431784,0.000057764537],"category_scores_gemma":[0.00005570859,0.00015796185,0.000058606653,0.0002068879,0.0000075274643,0.00018972029,0.00001268132,0.00023811458,0.00010746668],"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":[0.000003820637,0.000055655833,0.0053680297,0.00011087524,0.00006460412,0.00048795348,0.00027086,0.95256776,0.010138451,0.00002763065,0.0011514183,0.029752955],"study_design_scores_gemma":[0.00014350949,0.000018207753,0.07372358,0.000030283743,0.0000068539694,0.00021149359,0.000054932767,0.9235574,0.0002446146,0.00009877853,0.0017064989,0.00020382622],"about_ca_topic_score_codex":0.00017535924,"about_ca_topic_score_gemma":0.0001633951,"teacher_disagreement_score":0.068355545,"about_ca_system_score_codex":0.000193027,"about_ca_system_score_gemma":0.000012237652,"threshold_uncertainty_score":0.6441497},"labels":[],"label_agreement":null},{"id":"W2335370288","doi":"10.3151/coj.48.4_11","title":"A Study of Rolling Resistance Measurement and Effect on Heavy-duty Fuel Consumption on Concrete Pavement","year":2010,"lang":"en","type":"article","venue":"Concrete Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":3,"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":"National Research Council Canada","keywords":"Heavy duty; Rolling resistance; Environmental science; Fuel efficiency; Consumption (sociology); Waste management; Automotive engineering; Engineering; Structural engineering","score_opus":0.016101921660149978,"score_gpt":0.22612863328745797,"score_spread":0.210026711627308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335370288","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":[0.99700814,0.0005772326,0.00064763305,0.000014836088,0.0009335317,0.00027646936,0.0000073937363,0.00008570645,0.00044904352],"genre_scores_gemma":[0.9992721,0.0001639491,0.00032781324,0.000017143142,0.00015369769,0.000011743089,0.0000010687319,0.00003444944,0.000018038756],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986705,0.00006219778,0.00037574023,0.00016411598,0.00048825197,0.0002391948],"domain_scores_gemma":[0.99930173,0.00013190306,0.000093831426,0.00023342171,0.00008779473,0.0001513326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010728193,0.00021922625,0.00031052626,0.000127134,0.00009068205,0.000060952483,0.000111836416,0.00008245943,0.000012137671],"category_scores_gemma":[0.00009664082,0.00019367156,0.000060750637,0.00006331616,0.00003243678,0.00006142045,0.000013237578,0.0006912907,0.000005976862],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022554258,0.00005698723,0.029033978,0.0022925986,0.0017625777,0.00035635286,0.0057216263,0.15312646,0.7955967,0.0013533409,0.0013073984,0.0071365647],"study_design_scores_gemma":[0.06297963,0.03291884,0.13974941,0.008288198,0.0015790244,0.0007223937,0.0019972797,0.505343,0.2284987,0.0005167718,0.011473196,0.005933566],"about_ca_topic_score_codex":0.000002157668,"about_ca_topic_score_gemma":0.000013969216,"teacher_disagreement_score":0.56709796,"about_ca_system_score_codex":0.000097286,"about_ca_system_score_gemma":0.000015671689,"threshold_uncertainty_score":0.78976965},"labels":[],"label_agreement":null},{"id":"W2337239499","doi":"","title":"Winnipeg Richardson International Airport Elevated Roadway - Departures Level Bridge","year":2015,"lang":"en","type":"article","venue":"TAC 2015: Getting You There Safely - 2015 Conference and Exhibition of the Transportation Association of Canada // ATC: Destination sÃ©curitÃ© routiÃ¨re - 2015 CongrÃ¨s et Exposition de l'Association des transports du Canada","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"International airport; Bridge (graph theory); Engineering; Redevelopment; Transport engineering; Architecture; Terminal (telecommunication); Civil engineering; Geography; Telecommunications; Archaeology","score_opus":0.012455361069464434,"score_gpt":0.2167729004841191,"score_spread":0.20431753941465466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337239499","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":[0.9630326,0.0005574671,0.018389108,0.007742706,0.0021683068,0.0008793815,0.0048022126,0.00032685453,0.002101332],"genre_scores_gemma":[0.9947909,0.00022617925,0.0006679323,0.0003469265,0.00014593847,0.000057725767,0.0020054919,0.00008253295,0.0016763398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950614,0.0002681317,0.0015053157,0.00045572885,0.0020310609,0.00067836983],"domain_scores_gemma":[0.9949669,0.00030680053,0.0015369321,0.00032866432,0.0024661517,0.00039452303],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018616085,0.0005370559,0.0006650787,0.00022469577,0.00027438498,0.000118017306,0.00038877377,0.00040254506,0.00017989379],"category_scores_gemma":[0.00052672223,0.0005779161,0.00017336095,0.00051509857,0.00007973856,0.00085564813,0.000013557946,0.00050904875,0.0000015666412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033420793,0.00029676218,0.4887795,0.0007755741,0.0013165337,0.00007001369,0.008648057,0.31822625,0.005200953,0.006569589,0.16748983,0.0022927392],"study_design_scores_gemma":[0.003488719,0.00011567855,0.93797463,0.00058021914,0.00038208766,0.00002284189,0.0012427213,0.03089139,0.005316657,0.0012682976,0.017491285,0.001225443],"about_ca_topic_score_codex":0.2574215,"about_ca_topic_score_gemma":0.837687,"teacher_disagreement_score":0.5802655,"about_ca_system_score_codex":0.003690551,"about_ca_system_score_gemma":0.0031938076,"threshold_uncertainty_score":0.9996672},"labels":[],"label_agreement":null},{"id":"W2338573508","doi":"10.1115/1.4033359","title":"Experimental and Numerical Study of the Vibration of Stationary and Rotating Annular Disks","year":2016,"lang":"en","type":"article","venue":"Journal of vibration and acoustics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Vibration; Rotation (mathematics); Plane (geometry); Physics; Boundary value problem; RADIUS; Mechanics; Modal; Modal analysis; Coupling (piping); Normal mode; Numerical analysis; Point (geometry); Optics; Acoustics; Geometry; Materials science; Mathematical analysis; Mathematics","score_opus":0.006585340241880235,"score_gpt":0.22200111257538385,"score_spread":0.21541577233350362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338573508","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":[0.7197151,0.00014927768,0.27998787,0.000024446252,0.00006668837,0.000041566916,0.000004904819,0.0000040752298,0.000006079101],"genre_scores_gemma":[0.9970309,0.000034311986,0.0028878774,0.000004784043,0.000030895113,6.120026e-7,3.5652448e-7,0.0000068467025,0.0000034256427],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955696,0.000015242274,0.00023956175,0.000035661527,0.00011259704,0.000039962113],"domain_scores_gemma":[0.9997252,0.00006334847,0.000099318655,0.00003887099,0.00004489779,0.00002831919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072552226,0.00005354694,0.00010113811,0.00003814688,0.00002710109,0.000011364775,0.000025073981,0.000023022723,0.0000017607177],"category_scores_gemma":[0.000040476036,0.000033020042,0.000011789062,0.000043863467,0.000023922152,0.00015151687,0.000012570363,0.000047307654,2.0287738e-8],"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":[0.000026076143,0.00010253622,0.01363634,0.000068912086,0.000048323047,0.0000017683973,0.0028166706,0.15136977,0.8245238,0.00016617897,0.000034186753,0.0072054076],"study_design_scores_gemma":[0.0009285668,0.0004821262,0.14120044,0.000092818744,0.000039136954,0.00003079302,0.0021749483,0.8407935,0.014078356,0.00008873079,0.0000055630476,0.00008502544],"about_ca_topic_score_codex":7.080281e-7,"about_ca_topic_score_gemma":1.4052948e-7,"teacher_disagreement_score":0.8104455,"about_ca_system_score_codex":0.0000071149484,"about_ca_system_score_gemma":0.000007724896,"threshold_uncertainty_score":0.13465182},"labels":[],"label_agreement":null},{"id":"W2345467145","doi":"10.1177/0954409716647095","title":"Influence of friction wedge characteristics on lateral response and hunting of freight wagons with three-piece bogies","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bogie; Wedge (geometry); Nonlinear system; Bolster; Structural engineering; Multibody system; Slip (aerodynamics); Bifurcation; Friction coefficient; Unilateral contact; Tread; Axle; Engineering; Mechanics; Materials science; Physics; Mathematics; Geometry; Classical mechanics; Finite element method","score_opus":0.005801777171602233,"score_gpt":0.17212594413230475,"score_spread":0.1663241669607025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345467145","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":[0.98994106,0.00016213303,0.009426583,0.0001758473,0.00014252585,0.000074817224,0.000027556503,0.000018709341,0.00003078765],"genre_scores_gemma":[0.99827254,0.0005169229,0.0011575051,0.0000032049522,0.00003056766,0.000001178627,1.9431036e-7,0.000012280813,0.00000563251],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990189,0.000005853357,0.00052867725,0.00008322253,0.00023848719,0.00012487368],"domain_scores_gemma":[0.9993203,0.000100018166,0.00025516184,0.00006222674,0.00020058673,0.0000616523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040368713,0.00014682836,0.0003651278,0.00015463238,0.000032848584,0.0000062346567,0.00013215911,0.000094457304,0.000001429984],"category_scores_gemma":[0.00015337039,0.00008647299,0.00007965236,0.0001604271,0.00014504403,0.00022851842,0.000013618877,0.00017515096,6.969206e-8],"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":[0.0013924927,0.00006602839,0.0011300542,0.00083256146,0.00024792625,0.0000016818292,0.00055227743,0.057706613,0.92640764,0.008008895,0.000012363326,0.0036414664],"study_design_scores_gemma":[0.0046691652,0.002441614,0.10581174,0.007968989,0.00046048913,0.00025878192,0.00019787165,0.043960225,0.8323735,0.0006872257,0.0006050373,0.0005653563],"about_ca_topic_score_codex":0.000001837733,"about_ca_topic_score_gemma":5.308138e-7,"teacher_disagreement_score":0.104681686,"about_ca_system_score_codex":0.000019526311,"about_ca_system_score_gemma":0.000023590588,"threshold_uncertainty_score":0.35262662},"labels":[],"label_agreement":null},{"id":"W2345511792","doi":"10.1177/0954409716646404","title":"Evaluating the potential of a rolling deflection measurement system to estimate track modulus","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":22,"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 Alberta","funders":"","keywords":"Track (disk drive); Deflection (physics); Stiffness; Modulus; Foundation (evidence); Young's modulus; Structural engineering; System of measurement; Computer science; Engineering; Mathematics; Materials science; Mechanical engineering; Physics; Optics; Geometry; Geography","score_opus":0.020148646909240474,"score_gpt":0.24176881518197973,"score_spread":0.22162016827273925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345511792","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":[0.68243015,0.00052592746,0.3154101,0.00031763042,0.00097243267,0.00023276874,0.000007378636,0.000039418643,0.0000641892],"genre_scores_gemma":[0.99595416,0.000116886964,0.0038131212,0.0000030411088,0.00008785023,0.000005468766,8.1226034e-8,0.00001524091,0.0000041681715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984424,0.00000994764,0.00069403736,0.00009617462,0.0005930041,0.00016439754],"domain_scores_gemma":[0.99911976,0.000029960602,0.00021491497,0.000074518604,0.00047418973,0.00008665814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013814394,0.00015281455,0.0003412899,0.00012429678,0.00006124926,0.000011160212,0.00021850571,0.000083250416,0.0000015959854],"category_scores_gemma":[0.00016217076,0.00008293866,0.00018898216,0.00023149468,0.000052982945,0.00015699783,0.000015070231,0.00017065721,2.2277827e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098075354,0.000015801474,0.0000039153424,0.0003556518,0.00010927602,2.8065304e-7,0.00013423318,0.551267,0.43958613,0.00197913,0.000012885853,0.0064375848],"study_design_scores_gemma":[0.0015458806,0.0006114529,0.00021767168,0.0026475473,0.00034612307,0.00017425351,0.0002022214,0.7251978,0.26856813,0.00017751663,0.00012329053,0.00018812614],"about_ca_topic_score_codex":0.0000020630114,"about_ca_topic_score_gemma":6.28188e-7,"teacher_disagreement_score":0.313524,"about_ca_system_score_codex":0.000083120474,"about_ca_system_score_gemma":0.0000360903,"threshold_uncertainty_score":0.33821404},"labels":[],"label_agreement":null},{"id":"W2347826980","doi":"","title":"Analyzing on the Dynamics Performance of Freight Car Negotiating Sharp Curve","year":2009,"lang":"en","type":"article","venue":"Railway Locomotive & Car","topic":"Railway Engineering and Dynamics","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":"Ministry of Transportation of Ontario","funders":"","keywords":"Bogie; Negotiation; Automotive engineering; Computer science; Engineering; Structural engineering; Political science","score_opus":0.0071127178040215925,"score_gpt":0.19551222569840285,"score_spread":0.18839950789438126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347826980","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":[0.9706429,0.00037798294,0.0176388,0.000091467824,0.0004237227,0.0002553932,0.00007480397,0.00032651654,0.01016841],"genre_scores_gemma":[0.9988586,0.00013749808,0.000576482,0.00003487478,0.00014973467,0.00001043315,0.00003769334,0.0000546264,0.00014006234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864155,0.00003876067,0.00037338203,0.00024642618,0.00025635143,0.0004435239],"domain_scores_gemma":[0.9990578,0.00019262714,0.000082197235,0.0004812824,0.00009516055,0.00009089614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027004213,0.0003306334,0.00035561674,0.00015913228,0.00012352032,0.00004561062,0.0003666201,0.00012359742,0.000020371222],"category_scores_gemma":[0.000070472284,0.00026857317,0.00014700569,0.0004515894,0.000053255848,0.00014662519,0.000027134447,0.0004913088,0.000035451983],"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":[0.000008289883,0.000027986018,0.0033941118,0.000057488116,0.00007481961,0.0000050419067,0.0004632071,0.9807046,0.0012782194,0.0104146395,0.00017092546,0.0034006692],"study_design_scores_gemma":[0.00020610479,0.00016747843,0.016940799,0.00014214638,0.000030509827,0.0000049672444,0.00013107037,0.9796556,0.0021493959,0.000071664865,0.00019425948,0.00030600873],"about_ca_topic_score_codex":0.000015040519,"about_ca_topic_score_gemma":0.000007607992,"teacher_disagreement_score":0.028215693,"about_ca_system_score_codex":0.00022278687,"about_ca_system_score_gemma":0.000019582943,"threshold_uncertainty_score":0.99997663},"labels":[],"label_agreement":null},{"id":"W2351107267","doi":"","title":"The World Latest Progress of Heavy Railway Transportation Technology","year":2010,"lang":"en","type":"article","venue":"Electric Drive for Locomotives","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Engineering; Transport engineering; Heavy load; Heavy industry; China; Railway line; Geography","score_opus":0.002724633939272184,"score_gpt":0.20514708688926217,"score_spread":0.20242245294998998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351107267","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":[0.9672433,0.0010219205,0.028239785,0.00043226714,0.00073790725,0.00075797795,0.000042935037,0.0007067876,0.0008170946],"genre_scores_gemma":[0.9967058,0.000043780597,0.002722315,0.0000018472978,0.000054561857,0.00012168535,0.000017157467,0.000036863083,0.00029600857],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993018,0.0000044145636,0.00020701697,0.00012244598,0.00008054337,0.0002837876],"domain_scores_gemma":[0.99950725,0.00015570571,0.00004256958,0.0001842235,0.000075942444,0.00003429521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102529986,0.00013635519,0.00015502455,0.0002225751,0.00008323579,0.000015267951,0.00019619716,0.000087883935,0.0000031385855],"category_scores_gemma":[0.000033385233,0.000108659384,0.00006714278,0.00067734346,0.000094325056,0.0000536547,0.0000031084894,0.0002665679,0.0000025971572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017077231,0.00039786482,0.03840844,0.0006514528,0.0007740989,0.00001020041,0.0016865857,0.08517862,0.26653233,0.25791442,0.0033931579,0.34488207],"study_design_scores_gemma":[0.0015491927,0.0005903622,0.056347642,0.00008448636,0.00010229599,0.00001121145,0.00011488647,0.3796684,0.4771345,0.008520133,0.075032875,0.00084400433],"about_ca_topic_score_codex":9.4727716e-7,"about_ca_topic_score_gemma":0.00015409499,"teacher_disagreement_score":0.34403807,"about_ca_system_score_codex":0.000015919835,"about_ca_system_score_gemma":0.00001545028,"threshold_uncertainty_score":0.44310012},"labels":[],"label_agreement":null},{"id":"W2378484842","doi":"","title":"Design and Calculation on Dynamic Vibration Absorber of Equipment under High Speed Trains","year":2014,"lang":"en","type":"article","venue":"Rolling Stock","topic":"Railway Engineering and Dynamics","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":"Bombardier (Canada)","funders":"","keywords":"Vibration; Dynamic Vibration Absorber; Train; Damping ratio; Engineering; Displacement (psychology); Structural engineering; High speed train; Acoustics; Physics","score_opus":0.01072361966835301,"score_gpt":0.21334466849366968,"score_spread":0.20262104882531667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378484842","genre_codex":"methods","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":[0.39311743,0.0000176314,0.6064672,0.00001556384,0.00010137747,0.0000856503,0.0000018275663,0.000100531106,0.0000928265],"genre_scores_gemma":[0.988131,0.000011556001,0.011711135,0.000013130523,0.00002927615,0.0000051801767,0.000015241719,0.000030612486,0.000052873813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994781,0.000015622072,0.00015945609,0.000109425484,0.00011174197,0.00012564538],"domain_scores_gemma":[0.99973214,0.00007422472,0.000024174662,0.00011840643,0.000014963752,0.00003610604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013384435,0.00011183136,0.00012980276,0.00007987491,0.000027752889,0.000014953335,0.000037464346,0.00007036937,0.0000042355364],"category_scores_gemma":[0.000009442606,0.00011336088,0.000022556278,0.00006845657,0.000009577402,0.000048886384,0.000004667334,0.000076922064,0.000004532214],"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":[0.00000765393,0.0000075436074,0.000016682758,0.000030525218,0.000016547507,1.5433135e-7,0.00009961763,0.9819388,0.0145181855,0.0009986033,0.000010379651,0.0023553357],"study_design_scores_gemma":[0.0003008635,0.00006570324,0.0038013798,0.000035852176,0.000012351453,8.55956e-7,0.0000043005653,0.9938901,0.0012463738,0.00050799723,0.00001804861,0.00011618156],"about_ca_topic_score_codex":0.00000429965,"about_ca_topic_score_gemma":0.0000019559739,"teacher_disagreement_score":0.59501356,"about_ca_system_score_codex":0.000053271993,"about_ca_system_score_gemma":0.000004450073,"threshold_uncertainty_score":0.46227226},"labels":[],"label_agreement":null},{"id":"W2381244649","doi":"","title":"Analysis on high frequency signals of magnetizing inrush current and its interference for balise","year":2012,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"CAE (Canada)","funders":"","keywords":"Inrush current; Interference (communication); Current (fluid); Busbar; SIGNAL (programming language); FEKO; Engineering; Computer science; Electronic engineering; Electrical engineering; Antenna (radio); Channel (broadcasting); Voltage","score_opus":0.015102513245556674,"score_gpt":0.2354231799704861,"score_spread":0.22032066672492942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381244649","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":[0.85007614,0.0023419089,0.14599526,0.000008238791,0.00029770605,0.00010889465,0.000059472597,0.00013109867,0.0009813095],"genre_scores_gemma":[0.9977651,0.0001589168,0.0019364152,0.000004487835,0.000047875208,0.00001567826,0.000014174809,0.00001487328,0.000042434564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947476,0.000005492818,0.00017402261,0.00008943077,0.00006464178,0.00019165191],"domain_scores_gemma":[0.9996841,0.00007812098,0.000018836286,0.00011249939,0.000028309874,0.00007812936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101145284,0.00011379466,0.00019035404,0.00017528447,0.0000128293905,0.000010679709,0.000065246975,0.000039928756,0.000046828216],"category_scores_gemma":[0.00002763303,0.00010352435,0.000057748908,0.00019993195,0.00000705162,0.00009229984,0.0000122186,0.000066339824,0.00000348871],"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":[0.000035091143,0.00022604733,0.024443913,0.0016885891,0.0011662174,0.0000010435065,0.0019371024,0.77524287,0.06127314,0.063383915,0.00042106572,0.07018098],"study_design_scores_gemma":[0.00033396762,0.00011849849,0.013167078,0.000095817595,0.00033428267,0.0000010321758,0.000049769573,0.97205186,0.013012134,0.0002235991,0.00021277586,0.00039916165],"about_ca_topic_score_codex":0.0000084427875,"about_ca_topic_score_gemma":0.000004805928,"teacher_disagreement_score":0.196809,"about_ca_system_score_codex":0.000018989118,"about_ca_system_score_gemma":0.0000026513057,"threshold_uncertainty_score":0.42216006},"labels":[],"label_agreement":null},{"id":"W2387848738","doi":"","title":"Development and Prospects of New-type Lubricants for Wheel/Rail Lubrication in Last 10 Years","year":2001,"lang":"en","type":"article","venue":"Zhongguo tiedao kexue","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lubrication; Lubricant; Automotive engineering; Diesel fuel; Engineering; Service life; Grease; Mechanical engineering; Common rail; Materials science; Composite material","score_opus":0.01265219358833779,"score_gpt":0.211997979205362,"score_spread":0.1993457856170242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2387848738","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":[0.99229157,0.0003534198,0.005201939,0.0000186729,0.00020928192,0.00023120809,0.00000457615,0.00013350145,0.001555812],"genre_scores_gemma":[0.9824989,0.00009170272,0.015517943,0.0000068255554,0.000053003776,0.000021082426,0.00002242636,0.000040688505,0.0017474694],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993136,0.0000029960627,0.00022073995,0.00014643943,0.00009704149,0.00021921577],"domain_scores_gemma":[0.9997138,0.00002497656,0.000028602793,0.00013425534,0.000027717968,0.00007069396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008500406,0.00012117604,0.00016987113,0.0001346303,0.000016461761,0.000016182365,0.000083655155,0.00006966942,0.000012145982],"category_scores_gemma":[0.000029404964,0.00013846354,0.000018245017,0.0002852754,0.0000133211415,0.000074025826,0.000016871489,0.00007202393,0.000014122295],"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":[0.0002077492,0.00024071694,0.037395243,0.00092409435,0.00020140436,0.000037411814,0.008646939,0.36206758,0.016109964,0.003021406,0.011421714,0.55972576],"study_design_scores_gemma":[0.003587523,0.00022895,0.3130707,0.00033471876,0.000035889363,0.000053855256,0.0003816136,0.3413582,0.0084389085,0.00051410333,0.33075705,0.0012384632],"about_ca_topic_score_codex":0.000017431163,"about_ca_topic_score_gemma":0.00010539657,"teacher_disagreement_score":0.5584873,"about_ca_system_score_codex":0.000072428586,"about_ca_system_score_gemma":0.000042817177,"threshold_uncertainty_score":0.5646379},"labels":[],"label_agreement":null},{"id":"W2389185460","doi":"","title":"Reliability Calibration of Tower Members in Transmission Line","year":2014,"lang":"en","type":"article","venue":"Electric Power Construction","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wind engineering; Tower; Reliability (semiconductor); Structural engineering; Transmission line; Engineering; Electric power transmission; Transmission tower; Wind speed; Line (geometry); Electrical engineering; Meteorology; Mathematics; Power (physics)","score_opus":0.0025406766820484424,"score_gpt":0.17685979958718798,"score_spread":0.17431912290513954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2389185460","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":[0.5987703,0.00007660217,0.39920026,0.000014850425,0.00031030507,0.00006593329,0.0000011108438,0.00014321598,0.001417402],"genre_scores_gemma":[0.9964549,0.00004538872,0.0034339787,0.000003861192,0.000023256976,0.000003925712,0.0000066128705,0.000013966742,0.000014099126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993753,0.000020154972,0.00024639125,0.000114907096,0.000101142185,0.0001420927],"domain_scores_gemma":[0.9997465,0.000037220918,0.000023869154,0.00013097755,0.000023943992,0.00003748952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001638744,0.0000943038,0.00013666696,0.0001632864,0.0000125514225,0.0000060923066,0.00004646664,0.00009695871,0.000038115882],"category_scores_gemma":[0.00003410311,0.00009670878,0.000035950157,0.00038873008,0.00001658312,0.00011420694,0.0000025110403,0.00014724355,7.913398e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003108095,0.000032078322,0.0014881622,0.00008168164,0.000012789632,6.260653e-7,0.00020743384,0.8453504,0.07153731,0.0014370952,0.00010600781,0.079715334],"study_design_scores_gemma":[0.00026359808,0.000054395172,0.0020081426,0.000019860136,0.00000525628,0.000008202448,0.0000075360194,0.98398626,0.012008235,0.00078822096,0.0007384396,0.00011183113],"about_ca_topic_score_codex":0.00001296854,"about_ca_topic_score_gemma":0.0000024750282,"teacher_disagreement_score":0.3976846,"about_ca_system_score_codex":0.00006402558,"about_ca_system_score_gemma":0.000013084631,"threshold_uncertainty_score":0.39436698},"labels":[],"label_agreement":null},{"id":"W2413099176","doi":"10.1115/jrc2016-5748","title":"Evaluating the Equivalency Between Track Quality Indices and the Minimum Track Geometry Threshold Exceedances Along a Canadian Freight Railway","year":2016,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Track geometry; Track (disk drive); Quality (philosophy); Geometry; Computer science; Mathematics; Physics","score_opus":0.043498206956284986,"score_gpt":0.2953331272963073,"score_spread":0.2518349203400223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2413099176","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":[0.9842078,0.0019888252,0.0022788404,0.0010899619,0.00032692976,0.00032439735,0.000076586475,0.00026213322,0.009444533],"genre_scores_gemma":[0.99796075,0.00023166726,0.00048739652,0.00007747183,0.0003168303,0.00003948604,0.000005359347,0.00004601297,0.0008350069],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981745,0.000072134695,0.0004984126,0.0002917969,0.00036648105,0.00059668336],"domain_scores_gemma":[0.9980751,0.001121023,0.000065660475,0.00047471945,0.000041695526,0.00022179629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020472943,0.0002898505,0.00034288826,0.00014229462,0.00026632787,0.00013737069,0.00047357514,0.00014802918,0.00012434431],"category_scores_gemma":[0.00020868698,0.00013511398,0.000106919484,0.00030395316,0.00024439336,0.0002616157,0.00004119526,0.00028303874,0.000028574339],"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":[0.00018772518,0.00007176901,0.3456332,0.0013024089,0.0021600516,0.00003362485,0.016568197,0.057078015,0.0074193166,0.095511675,0.0039818767,0.47005212],"study_design_scores_gemma":[0.0066404,0.00026953116,0.7154086,0.0005101683,0.00040717647,0.000042175612,0.0019651568,0.25295225,0.0018022348,0.013786491,0.0039564823,0.002259334],"about_ca_topic_score_codex":0.006449408,"about_ca_topic_score_gemma":0.01704892,"teacher_disagreement_score":0.4677928,"about_ca_system_score_codex":0.000093336464,"about_ca_system_score_gemma":0.000057317422,"threshold_uncertainty_score":0.9749618},"labels":[],"label_agreement":null},{"id":"W2434072265","doi":"10.1139/cjce-2015-0465","title":"The influence of vehicle–tire contact force area on vehicle–bridge dynamic interaction","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Hunan Province; China Scholarship Council; National Natural Science Foundation of China","keywords":"Contact force; Contact patch; Contact area; Bridge (graph theory); Point (geometry); Structural engineering; Transverse plane; Contact mechanics; Tire balance; Engineering; Automotive engineering; Materials science; Finite element method; Composite material; Tread; Physics; Mathematics; Natural rubber; Geometry","score_opus":0.005069484187993768,"score_gpt":0.18227081192691333,"score_spread":0.17720132773891956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2434072265","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":[0.9892733,0.0005906365,0.008369823,0.00014435276,0.0010190938,0.00007206205,0.000029519859,0.00006002808,0.00044117862],"genre_scores_gemma":[0.9995848,0.00018609843,0.00002744333,0.000011784671,0.00007688353,0.000003104415,9.167481e-7,0.000055088134,0.000053894084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988681,0.000010538918,0.0004559061,0.000092981296,0.00017634868,0.00039611457],"domain_scores_gemma":[0.99889576,0.0002792399,0.000104162005,0.00024485812,0.00012671656,0.00034923534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021979393,0.00020536705,0.00024532955,0.00030286296,0.00006287566,0.00004332901,0.00031209568,0.0000884205,0.000011681632],"category_scores_gemma":[0.00024758902,0.00014653565,0.000121720775,0.00018543561,0.000030665084,0.00026596306,0.0000070788556,0.00032879662,0.00000652155],"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":[0.0000109042385,0.0000025282861,0.00041885412,0.00004482215,0.00007567198,0.00003358389,0.00010660313,0.97227365,0.020313753,0.00034986614,0.00020210083,0.006167636],"study_design_scores_gemma":[0.001146012,0.00036097906,0.11593903,0.0025074102,0.000057993213,0.00023889943,0.00006783534,0.86491394,0.002384582,0.0001266268,0.011596221,0.0006604862],"about_ca_topic_score_codex":0.00009583453,"about_ca_topic_score_gemma":0.008309509,"teacher_disagreement_score":0.11552017,"about_ca_system_score_codex":0.00043476414,"about_ca_system_score_gemma":0.00012429363,"threshold_uncertainty_score":0.59755504},"labels":[],"label_agreement":null},{"id":"W244971175","doi":"","title":"\"Generic\" Commuter Wheel-Rail Profiles","year":2005,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tread; Engineering; Climb; Point (geometry); Automotive engineering; Structural engineering; Track (disk drive); Contact mechanics; Mechanical engineering; Finite element method; Materials science; Composite material","score_opus":0.006639919435374261,"score_gpt":0.19628342292463846,"score_spread":0.1896435034892642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W244971175","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":[0.98379755,0.003430808,0.004395839,0.00017680565,0.00045046833,0.00012965585,0.000058798392,0.0007794112,0.006780692],"genre_scores_gemma":[0.98988974,0.00031219432,0.008819318,0.00009183487,0.0003940226,0.000010628446,0.000026847949,0.000049629758,0.00040578342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991913,0.000010509625,0.00019449732,0.00017625654,0.00012455837,0.00030286997],"domain_scores_gemma":[0.99958533,0.000030252573,0.000016343442,0.00023109821,0.000018405291,0.00011858466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052278065,0.00023800592,0.00020717026,0.0000782091,0.00008517723,0.00007635815,0.0001371624,0.00012565342,0.000087036606],"category_scores_gemma":[0.0000082058095,0.00020908465,0.000054429947,0.00008785966,0.000050227325,0.00014129387,0.000021418107,0.00022239838,0.000017685607],"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":[0.000026565796,0.000035054694,0.001888457,0.00038217363,0.0002144544,0.0000203154,0.0025762643,0.60930085,0.020754162,0.012517805,0.022405522,0.3298784],"study_design_scores_gemma":[0.0014698103,0.00011083463,0.06620332,0.00006243624,0.00007433448,0.00020178864,0.00019829179,0.52230054,0.017151676,0.0027473213,0.38787985,0.0015998292],"about_ca_topic_score_codex":0.0000044600733,"about_ca_topic_score_gemma":0.00002108813,"teacher_disagreement_score":0.3654743,"about_ca_system_score_codex":0.000025534751,"about_ca_system_score_gemma":0.0000070953593,"threshold_uncertainty_score":0.85262245},"labels":[],"label_agreement":null},{"id":"W2460343396","doi":"10.1061/9780784479926.046","title":"Fatigue Test of Rail","year":2016,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Structural engineering; Bending; Deflection (physics); Stress (linguistics); Span (engineering); Track (disk drive); Vibration fatigue; Engineering; Fatigue testing; Mechanical engineering","score_opus":0.00843829384294543,"score_gpt":0.1902221470144021,"score_spread":0.18178385317145668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460343396","genre_codex":"methods","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":[0.16848226,0.00010129354,0.73438096,0.00009724728,0.0003394442,0.000052221567,0.000027776554,0.00086157856,0.09565722],"genre_scores_gemma":[0.9961172,0.000027655173,0.0023636657,0.000002959875,0.000020251202,0.0000017343052,5.527494e-7,0.000012842011,0.0014531836],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997603,8.08263e-7,0.00007890541,0.000037521986,0.000041202034,0.00008120618],"domain_scores_gemma":[0.9997856,0.000066965375,0.000004292523,0.000107178465,0.000010309647,0.000025650428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023125018,0.000048001708,0.0000599295,0.000028114051,0.0000035248408,0.0000019220515,0.00004940274,0.00002530278,0.00007881495],"category_scores_gemma":[0.000030193232,0.000030703366,0.000019377274,0.000046249217,0.000009719061,0.000032654938,0.0000049910705,0.000017453083,0.000032291402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030643298,0.000051236108,0.015542563,0.00021479075,0.00007274609,0.0000051351026,0.00015369474,0.1613248,0.66754216,0.01853343,0.013371123,0.12318528],"study_design_scores_gemma":[0.0016394387,0.00015803378,0.03540787,0.00027512497,0.00002258943,0.000015583673,0.000044617354,0.60251313,0.32870603,0.0012563231,0.029039884,0.00092134776],"about_ca_topic_score_codex":0.0000018306145,"about_ca_topic_score_gemma":0.0000020605542,"teacher_disagreement_score":0.82763493,"about_ca_system_score_codex":0.00000996061,"about_ca_system_score_gemma":0.000002327973,"threshold_uncertainty_score":0.1252047},"labels":[],"label_agreement":null},{"id":"W2468981866","doi":"10.1061/(asce)te.1943-5436.0000892","title":"Continuous Vertical Track Deflection Measurements to Map Subgrade Condition along a Railway Line: Methodology and Case Studies","year":2016,"lang":"en","type":"article","venue":"Journal of Transportation Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","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":"University of Alberta","funders":"","keywords":"Subgrade; Deflection (physics); Vertical deflection; Track (disk drive); Geology; Track geometry; Geotechnical engineering; Wavelength; Structural engineering; Geodesy; Engineering; Optics; Mechanical engineering; Physics","score_opus":0.045501577689904156,"score_gpt":0.29322002007444464,"score_spread":0.2477184423845405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468981866","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":[0.5950787,0.00045496674,0.4035314,0.0000916282,0.000679539,0.00006681189,0.000009599523,0.000085136,0.000002187937],"genre_scores_gemma":[0.9807101,0.00015761922,0.018903779,0.000013220044,0.00015477907,0.000008612352,0.0000027876304,0.00004057733,0.000008540285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988755,0.00002385341,0.00056883536,0.0001190217,0.000189252,0.00022351065],"domain_scores_gemma":[0.99931717,0.00022199644,0.00004931039,0.000078246434,0.00016724622,0.00016600742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046430892,0.00018823956,0.00035052188,0.0002886045,0.0000311855,0.000016125505,0.000054192413,0.000092942064,0.0000045266297],"category_scores_gemma":[0.00014803345,0.0001542806,0.000082950755,0.00014755329,0.00001744926,0.00025931728,0.0000018759249,0.00016417942,0.0000024200967],"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":[0.000067708505,0.000024386773,0.0016190266,0.00030654497,0.00045974425,0.0006878596,0.0014473125,0.7678512,0.22095473,0.00019265503,0.00014553216,0.0062433584],"study_design_scores_gemma":[0.022207402,0.004518481,0.17114368,0.005647565,0.0033455528,0.02761686,0.0034171073,0.23877674,0.5111387,0.001402672,0.005326023,0.0054592346],"about_ca_topic_score_codex":0.0000027195013,"about_ca_topic_score_gemma":0.00003441729,"teacher_disagreement_score":0.5290744,"about_ca_system_score_codex":0.00010553691,"about_ca_system_score_gemma":0.000011399494,"threshold_uncertainty_score":0.62913805},"labels":[],"label_agreement":null},{"id":"W2482248492","doi":"10.1139/cgj-2016-0083","title":"Case study of use of falling weight deflectometer to investigate railway infrastructure constructed upon soft subgrades","year":2016,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Falling weight deflectometer; Subgrade; Geotechnical engineering; Deflection (physics); Substructure; Structural engineering; Axle load; Engineering; Levee; Rut; Geology; Axle; Asphalt; Materials science","score_opus":0.014993159070729112,"score_gpt":0.20892169198092833,"score_spread":0.1939285329101992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2482248492","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":[0.96899766,0.00004589435,0.030254886,0.000058455553,0.00029374944,0.00017585642,0.00007813996,0.00008682175,0.000008520641],"genre_scores_gemma":[0.9955392,0.000020525113,0.0042768824,0.000029421388,0.00007017202,0.0000040250206,0.0000011569832,0.000048672333,0.000009951674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985535,0.000041667066,0.00057469174,0.00016485629,0.00020927818,0.00045596765],"domain_scores_gemma":[0.9983687,0.0001562526,0.000078872,0.00030375028,0.0001494102,0.0009430374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017512392,0.00022643148,0.00036694197,0.0006819508,0.00006743895,0.000043027958,0.00024073866,0.00019640064,0.000045735796],"category_scores_gemma":[0.00031373638,0.00017461363,0.00009166543,0.0004791387,0.000074105235,0.00016202051,0.00002616635,0.00044392064,0.0000025662516],"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":[0.000020296351,0.000025826414,0.011419508,0.00005750692,0.0002779127,0.0027126612,0.0005279041,0.9319678,0.035031114,0.0000834482,0.00086575287,0.017010275],"study_design_scores_gemma":[0.013865324,0.0045385053,0.096068405,0.0035222124,0.0012434793,0.12259102,0.0027441683,0.69707334,0.028020578,0.0035257142,0.02031952,0.00648774],"about_ca_topic_score_codex":0.0024109748,"about_ca_topic_score_gemma":0.0068405005,"teacher_disagreement_score":0.23489445,"about_ca_system_score_codex":0.00023654914,"about_ca_system_score_gemma":0.0001832568,"threshold_uncertainty_score":0.7120537},"labels":[],"label_agreement":null},{"id":"W2492815713","doi":"10.1155/2016/9507213","title":"A Novel Online Detection System for Wheelset Size in Railway Transportation","year":2016,"lang":"en","type":"article","venue":"Journal of Sensors","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China","keywords":"Tread; Flange; Vibration; Train; Calibration; Automotive engineering; Track (disk drive); Displacement (psychology); Structural engineering; Differential (mechanical device); Noise (video); Engineering; Accelerometer; Computer science; Simulation; Acoustics; Mechanical engineering; Materials science; Physics; Artificial intelligence; Aerospace engineering","score_opus":0.007538880742251081,"score_gpt":0.2001163521461147,"score_spread":0.1925774714038636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2492815713","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":[0.786671,0.000036789024,0.21253173,0.000037961963,0.0005333023,0.000059832088,0.00006489333,0.00004934559,0.000015179359],"genre_scores_gemma":[0.9932202,0.000034975998,0.0064989673,0.0000026213002,0.0001676446,0.0000020284897,0.0000014815517,0.000026178563,0.00004589415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993481,0.0000047031363,0.00036575776,0.00005223002,0.00010109339,0.00012810998],"domain_scores_gemma":[0.999626,0.00013192593,0.00007238509,0.00005618151,0.00006468731,0.000048837755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015074028,0.000088841705,0.00017097843,0.0001331415,0.000010522582,0.0000071849777,0.000050233994,0.00006888542,0.0000017459072],"category_scores_gemma":[0.00005519775,0.000065479144,0.00008012929,0.00009596874,0.000006018441,0.00012137114,6.16602e-7,0.00008996039,0.0000011684167],"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":[0.00006320221,0.000018683299,0.00013167193,0.00016076822,0.000034387198,0.000010973804,0.00019594701,0.557755,0.43538955,0.000024545674,0.000026410708,0.0061888793],"study_design_scores_gemma":[0.0131337065,0.0007217967,0.07893891,0.0026612426,0.00017462559,0.00065515685,0.0016222302,0.77075905,0.123907425,0.00011789476,0.0063141165,0.0009938257],"about_ca_topic_score_codex":0.0000031582697,"about_ca_topic_score_gemma":0.00005782091,"teacher_disagreement_score":0.3114821,"about_ca_system_score_codex":0.00020146935,"about_ca_system_score_gemma":0.00001124,"threshold_uncertainty_score":0.2670162},"labels":[],"label_agreement":null},{"id":"W2507004121","doi":"10.1007/978-3-319-15248-6_51","title":"Predicting and Mitigating Ground-Borne Vibration Transmission to Elevated Floor Structures","year":2015,"lang":"en","type":"book-chapter","venue":"Conference proceedings of the Society for Experimental Mechanics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rowan Williams Davies & Irwin (Canada)","funders":"","keywords":"Vibration; Engineering; Structural engineering; Finite element method; Plan (archaeology); Foundation (evidence); Civil engineering; Geology; Acoustics","score_opus":0.017211981179549952,"score_gpt":0.226191466758067,"score_spread":0.20897948557851706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507004121","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":[0.6924349,0.016403565,0.23150362,0.0007544102,0.0060415026,0.0124212345,0.0015230813,0.0038257567,0.035091907],"genre_scores_gemma":[0.9689856,0.00012467155,0.026993744,0.00004006049,0.00019293296,0.00008494934,0.00005126767,0.00020047685,0.003326259],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988274,8.8800334e-7,0.00035015828,0.00029489415,0.00028730388,0.00023933731],"domain_scores_gemma":[0.9993786,0.00001578771,0.0001322895,0.00010122905,0.00023551224,0.00013655095],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014522429,0.00037597556,0.00034810058,0.00003730243,0.00012704854,0.00008397884,0.00027326363,0.00036765725,0.000011685114],"category_scores_gemma":[0.000023631022,0.0003342419,0.000295825,0.00005120847,0.00003433759,0.00015079521,0.00009685462,0.00029673002,5.805794e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032257474,0.00001105308,0.0000013080879,0.0010507419,0.0002926387,7.71295e-8,0.0074497405,0.0021137104,0.8201797,0.16568638,0.00082356425,0.0023588464],"study_design_scores_gemma":[0.0006254638,0.0002842904,0.0000033425285,0.0010979506,0.00016525688,0.000009098237,0.0025513778,0.74868655,0.21482962,0.0296844,0.0013835134,0.0006791541],"about_ca_topic_score_codex":0.0000034795364,"about_ca_topic_score_gemma":2.9371634e-7,"teacher_disagreement_score":0.7465728,"about_ca_system_score_codex":0.00016370251,"about_ca_system_score_gemma":0.000035831064,"threshold_uncertainty_score":0.99991095},"labels":[],"label_agreement":null},{"id":"W2509221743","doi":"10.11372/souonseigyo1977.29.425","title":"Noise Measurement along Railway","year":2005,"lang":"en","type":"article","venue":"The journal of the INCE of Japan","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thinkpath Engineering Services (Canada)","funders":"","keywords":"Noise (video); Acoustics; Computer science; Physics; Artificial intelligence","score_opus":0.009870158153007614,"score_gpt":0.1901328402185856,"score_spread":0.18026268206557797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509221743","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":[0.99293745,0.0011742348,0.0035286956,0.0007128545,0.0005311316,0.00005430717,0.0000020175632,0.000024957653,0.0010343364],"genre_scores_gemma":[0.9989176,0.000117003,0.00062468875,0.000028420238,0.00022042455,3.7049398e-7,5.4281852e-8,0.000018159786,0.00007326976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990994,0.000029820316,0.00032836557,0.000028086111,0.00037923123,0.00013510718],"domain_scores_gemma":[0.99944216,0.000044727407,0.00012069105,0.00025533713,0.00009491045,0.00004218393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087881356,0.00009503739,0.00015014049,0.000043955395,0.000040372706,0.000009302039,0.0005042792,0.000031363845,0.00000875452],"category_scores_gemma":[0.00006382644,0.000052011907,0.00010599705,0.00010386113,0.000038208276,0.00008965723,0.000029641798,0.00025595113,0.000005798759],"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":[0.000014777911,0.000015763986,0.00044486974,0.000022191894,0.000073534386,2.434844e-7,0.000591227,0.9605963,0.03171863,0.00006159486,0.0011153889,0.0053454633],"study_design_scores_gemma":[0.0029963106,0.00039148735,0.08597548,0.0016580019,0.00067339867,0.0008638352,0.001130242,0.69061714,0.17955709,0.0010267011,0.034105796,0.0010044873],"about_ca_topic_score_codex":0.0000100601865,"about_ca_topic_score_gemma":0.00003186975,"teacher_disagreement_score":0.26997915,"about_ca_system_score_codex":0.00011164172,"about_ca_system_score_gemma":0.000025729081,"threshold_uncertainty_score":0.2120984},"labels":[],"label_agreement":null},{"id":"W2513987779","doi":"10.1504/ijvd.1998.062080","title":"Comparative performance of unconventional railway trucks","year":2014,"lang":"en","type":"article","venue":"International Journal of Vehicle Design","topic":"Railway Engineering and Dynamics","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":"Concordia University","funders":"","keywords":"Truck; Engineering; Automotive engineering; Compatibility (geochemistry); Vehicle dynamics; Suspension (topology); Stability (learning theory); Automobile handling; Structural engineering; Computer science; Mathematics","score_opus":0.015309245495332113,"score_gpt":0.2358683448863565,"score_spread":0.2205590993910244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513987779","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":[0.69951504,0.000085239444,0.2983383,0.000034532626,0.0009191164,0.000026757301,0.00000533761,0.000022756372,0.0010529528],"genre_scores_gemma":[0.9924118,0.00004216334,0.007259972,0.000012425678,0.00020679198,0.0000010247068,0.0000024899664,0.000011206669,0.000052107513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991366,0.000027743774,0.0003660926,0.000047381527,0.00033335155,0.000088807705],"domain_scores_gemma":[0.9993393,0.00013099625,0.00012142725,0.000061576546,0.000298195,0.000048501417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034255348,0.00008589137,0.00018185202,0.00015320591,0.000012113538,0.000016891623,0.00026770792,0.00003774419,0.000037488317],"category_scores_gemma":[0.000028350718,0.00008056862,0.00008255274,0.00006585904,0.000029582088,0.00017114096,0.0000105762965,0.00014543225,0.000010688785],"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":[0.000073044444,0.000032118656,0.001029323,0.000015278003,0.00017429059,0.0000037172367,0.00017851734,0.97730416,0.015075916,0.0007842603,0.00053430436,0.004795047],"study_design_scores_gemma":[0.00067743164,0.00019458822,0.008706872,0.00009330559,0.000012893791,0.00006409311,0.000020712787,0.9628061,0.025683893,0.00034509454,0.0012935842,0.000101450045],"about_ca_topic_score_codex":7.8824326e-7,"about_ca_topic_score_gemma":2.5580243e-7,"teacher_disagreement_score":0.2928968,"about_ca_system_score_codex":0.0000555411,"about_ca_system_score_gemma":0.00002401403,"threshold_uncertainty_score":0.3285493},"labels":[],"label_agreement":null},{"id":"W2514263203","doi":"","title":"Understanding sources and sound radiation of a snowmobile track","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Track (disk drive); Noise (video); Acoustics; Vibration; Suspension (topology); Sound (geography); Radiation; Engineering; Computer science; Physics; Optics; Mechanical engineering","score_opus":0.017740772383353757,"score_gpt":0.183838611405681,"score_spread":0.16609783902232725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514263203","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":[0.5904215,0.0003354984,0.40720674,0.000039257327,0.00027907995,0.00006252087,0.00013594283,0.00009316303,0.0014262769],"genre_scores_gemma":[0.99934065,0.00012752069,0.0003685399,0.0000094969855,0.000051623098,0.0000017548584,0.0000032679031,0.000022132434,0.00007498166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999608,0.0000029382543,0.00009791053,0.000065240965,0.000048728423,0.00017718451],"domain_scores_gemma":[0.9996599,0.000059200604,0.000011799661,0.00008813533,0.000011705038,0.00016925232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045656667,0.00007451403,0.00008478732,0.00012250441,0.000028497416,0.000014146941,0.000043383618,0.000063718166,0.000015628339],"category_scores_gemma":[0.000033946657,0.00006623306,0.000014558993,0.0000717757,0.000036846315,0.00004659034,0.0000027843998,0.000040993742,0.0000036314377],"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":[0.000005818814,0.000010486777,0.010732217,0.00046226665,0.00015639428,0.00002978567,0.0017376118,0.8621479,0.0735424,0.016188009,0.0065239463,0.028463112],"study_design_scores_gemma":[0.0009498701,0.00008554685,0.024081675,0.0001640041,0.000091467744,0.00003356308,0.00077398715,0.96187264,0.0007710356,0.007200984,0.0032551906,0.0007200561],"about_ca_topic_score_codex":0.00027360814,"about_ca_topic_score_gemma":0.0012658783,"teacher_disagreement_score":0.40891916,"about_ca_system_score_codex":0.0002437869,"about_ca_system_score_gemma":0.000032568718,"threshold_uncertainty_score":0.27009058},"labels":[],"label_agreement":null},{"id":"W2545719185","doi":"10.2495/tdi-v1-n3-520-528","title":"Characteristics of corrugation in shanghai metro and suggested maintenance threshold for amplitude","year":2017,"lang":"en","type":"article","venue":"International Journal of Transport Development and Integration","topic":"Railway Engineering and Dynamics","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":"Ministry of Education and Child Care","funders":"Tongji University","keywords":"Amplitude; Physics; Optics","score_opus":0.012969150341841486,"score_gpt":0.23618765881056658,"score_spread":0.2232185084687251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2545719185","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":[0.8829301,0.00006162089,0.116347544,0.000061569815,0.00044790923,0.000059383572,0.000016431906,0.0000065296244,0.000068924644],"genre_scores_gemma":[0.99145484,0.00026526963,0.008156875,0.0000065800828,0.00004407713,0.000004222254,0.00003917358,0.000008361954,0.000020616808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935997,0.0000017200015,0.0003905174,0.00005459563,0.00012841329,0.00006480963],"domain_scores_gemma":[0.99956584,0.000020308462,0.00015335515,0.000043837405,0.00019018733,0.000026496058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020271809,0.00007822026,0.00014735723,0.00014925288,0.00002415449,0.000035257126,0.00011541009,0.000035879682,0.0000016999885],"category_scores_gemma":[0.000036597372,0.00006979104,0.000023225995,0.00001727986,0.00002208178,0.00024941357,0.000004147791,0.00007957465,7.54875e-8],"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":[0.000705498,0.00015041235,0.7632098,0.00029110897,0.00041415685,0.000041006697,0.0047321767,0.005489424,0.026683146,0.009062685,0.00009408623,0.18912648],"study_design_scores_gemma":[0.00078227004,0.000057143443,0.9640546,0.00033335126,0.000012755212,0.0000120814675,0.0000775019,0.02933193,0.0045594787,0.00031345792,0.00036056445,0.000104889805],"about_ca_topic_score_codex":0.0000060992998,"about_ca_topic_score_gemma":0.00008338417,"teacher_disagreement_score":0.20084475,"about_ca_system_score_codex":0.00005417876,"about_ca_system_score_gemma":0.00002173351,"threshold_uncertainty_score":0.28459957},"labels":[],"label_agreement":null},{"id":"W2557638553","doi":"10.4203/ccp.104.266","title":"A Fast Non-Elliptic Contact Model for Application to Rail Vehicle Dynamics Simulation","year":2014,"lang":"en","type":"article","venue":"Civil-comp proceedings","topic":"Railway Engineering and Dynamics","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":"Bombardier (Canada)","funders":"","keywords":"Vehicle dynamics; Dynamics (music); Computer science; Contact dynamics; Simulation; Automotive engineering; Mechanics; Engineering; Physics; Acoustics","score_opus":0.005971890819370306,"score_gpt":0.20923445663347326,"score_spread":0.20326256581410296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557638553","genre_codex":"methods","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":[0.20604056,0.000010993701,0.790781,0.000040689716,0.000111084155,0.00047450184,0.000019347315,0.00052065257,0.002001148],"genre_scores_gemma":[0.9901845,0.000004162697,0.009062895,0.00005754723,0.00016511383,0.00019505183,0.00004127694,0.00009207869,0.00019740485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989835,0.0000011101611,0.00025320108,0.0002755827,0.0001420263,0.0003445936],"domain_scores_gemma":[0.99947274,0.000054230575,0.00003915929,0.00014666804,0.00014245001,0.00014473288],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016161102,0.00022464122,0.00022952924,0.00010778764,0.000077590514,0.000081846134,0.0001923409,0.00012095677,0.0000010868404],"category_scores_gemma":[0.00004526457,0.00025738103,0.00007027162,0.00018213919,0.00000955042,0.00018656033,0.000023149994,0.00013037193,0.00002953694],"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":[0.000012950615,0.000013807748,0.00013274021,0.0002146246,0.000012896743,2.7507246e-8,0.00043732993,0.9804247,0.008955143,0.0048998124,0.0002868948,0.004609067],"study_design_scores_gemma":[0.00039727511,0.000053583168,0.00051704585,0.000039512917,0.00001998906,7.7490023e-7,0.000029725103,0.99637264,0.00027913842,0.00048350912,0.0015005453,0.00030626604],"about_ca_topic_score_codex":0.000004429636,"about_ca_topic_score_gemma":0.000012926973,"teacher_disagreement_score":0.7841439,"about_ca_system_score_codex":0.00019083545,"about_ca_system_score_gemma":0.000007258218,"threshold_uncertainty_score":0.99998784},"labels":[],"label_agreement":null},{"id":"W2560795425","doi":"10.1139/cgj-2016-0256","title":"Performance assessment of peat rail subgrade before and after mass stabilization","year":2016,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subgrade; Ballast; Stiffness; Geotechnical engineering; Track (disk drive); Modulus; Train; Structural engineering; Peat; Geology; Engineering; Environmental science; Materials science; Composite material; Mechanical engineering","score_opus":0.00390221883264795,"score_gpt":0.18730344582652805,"score_spread":0.1834012269938801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560795425","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":[0.90910774,0.00011105206,0.0899386,0.00027345578,0.00019841571,0.00006183985,0.00003552343,0.000060979688,0.00021237112],"genre_scores_gemma":[0.998163,0.0002540168,0.0014251483,0.000014210852,0.00006429382,0.0000045389183,0.0000018011078,0.000022436248,0.000050575698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934375,0.000008207632,0.00020124375,0.000077881574,0.00011477565,0.00025415848],"domain_scores_gemma":[0.99946404,0.000016637625,0.000021355405,0.00012241937,0.00003894008,0.00033658944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014434944,0.00010005797,0.00012220332,0.00014924393,0.000036914065,0.000020770269,0.00009029536,0.00010022791,0.000051579704],"category_scores_gemma":[0.000019928459,0.0000753316,0.00003450667,0.00009036091,0.00004558441,0.00012183014,0.0000071154814,0.00018999261,0.0000016698963],"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":[0.000019275278,0.000020999916,0.2577354,0.00035990722,0.00013099947,0.00013723107,0.00019623229,0.5671551,0.01335227,0.0012067411,0.0008163304,0.1588695],"study_design_scores_gemma":[0.0004078908,0.00011651075,0.3909218,0.00021803468,0.000020400747,0.00017689083,0.000013180234,0.60320646,0.00016862806,0.00023404953,0.004280873,0.00023529523],"about_ca_topic_score_codex":0.000060149952,"about_ca_topic_score_gemma":0.00094801973,"teacher_disagreement_score":0.15863422,"about_ca_system_score_codex":0.00026214865,"about_ca_system_score_gemma":0.00009467205,"threshold_uncertainty_score":0.30719334},"labels":[],"label_agreement":null},{"id":"W2569327886","doi":"10.1177/0954409716683078","title":"Dynamic behaviour of transition zones in soft soils during regular train traffic","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":21,"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":"Engineering and Physical Sciences Research Council; Technische Universiteit Delft; ProRail; University of Southampton","keywords":"Transition zone; Culvert; Track (disk drive); Transition (genetics); Stiffness; Computer science; Geology; Geotechnical engineering; Engineering; Structural engineering; Mechanical engineering","score_opus":0.006036623854418338,"score_gpt":0.19164731101967894,"score_spread":0.1856106871652606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569327886","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":[0.9804178,0.00065594335,0.01806177,0.0002834162,0.00038423933,0.0001216716,0.000019642155,0.000024778952,0.00003074049],"genre_scores_gemma":[0.99731106,0.00081868615,0.001806537,0.0000019350148,0.00003344701,0.0000018311011,9.047978e-7,0.000019720272,0.0000058824016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986862,0.0000053788694,0.0007006363,0.00011353281,0.0003028408,0.00019141055],"domain_scores_gemma":[0.9993602,0.000018729252,0.00027848675,0.00011518391,0.00014162193,0.00008576256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005105468,0.00018669953,0.0005004295,0.00018608912,0.00008151245,0.000017512175,0.0003361479,0.00016629709,0.00000462263],"category_scores_gemma":[0.00006427487,0.00015598022,0.00023917235,0.0001177661,0.0001663415,0.00034570412,0.000012681697,0.00034276227,1.10556925e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020186946,0.00013910102,0.000052196443,0.0015474479,0.00016981112,0.000006599555,0.0019066024,0.75208676,0.23764339,0.0015252613,0.0000119098095,0.0047090277],"study_design_scores_gemma":[0.0069056833,0.0005701798,0.010795861,0.0044328454,0.00050403917,0.00045526752,0.001160835,0.85102063,0.12251865,0.0008827802,0.00007407892,0.00067917217],"about_ca_topic_score_codex":0.000004206306,"about_ca_topic_score_gemma":0.0000061377627,"teacher_disagreement_score":0.11512475,"about_ca_system_score_codex":0.000035016656,"about_ca_system_score_gemma":0.000027945247,"threshold_uncertainty_score":0.6360689},"labels":[],"label_agreement":null},{"id":"W2572186048","doi":"10.1155/2017/6173795","title":"Energy-Efficient Train Operation Using Nature-Inspired Algorithms","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Eskişehir Osmangazi Üniversitesi","keywords":"Punctuality; Evolutionary algorithm; Computer science; Fitness function; Simulated annealing; Algorithm; Nonlinear system; Train; Process (computing); Convergence (economics); Mathematical optimization; Firefly algorithm; Genetic algorithm; Firefly protocol; Penalty method; Track (disk drive); Engineering; Artificial intelligence; Machine learning; Mathematics; Particle swarm optimization","score_opus":0.007304261957306004,"score_gpt":0.239479320464978,"score_spread":0.232175058507672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572186048","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":[0.62326723,0.00026929297,0.3751738,0.00001927163,0.0011265214,0.000029627716,0.000011410266,0.00003605647,0.00006676889],"genre_scores_gemma":[0.9701306,0.00009457031,0.029528778,0.000008489076,0.00018411578,0.0000011723519,0.000015113522,0.000027045016,0.000010094935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992517,0.0000050284016,0.00034178956,0.0000745509,0.00019754686,0.00012936757],"domain_scores_gemma":[0.99952286,0.000010987062,0.00016026782,0.00014322872,0.000097192366,0.0000654786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010818014,0.00011735454,0.000166746,0.0001008752,0.00011648527,0.000051776555,0.00013679892,0.000100634985,0.0000032805597],"category_scores_gemma":[0.000011841595,0.00011473384,0.00008633353,0.000044239638,0.000016383863,0.00037566162,8.236715e-7,0.00022233753,3.9545162e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013711512,0.00001316428,0.00006624974,0.000018685336,0.000023167671,0.000021150014,0.0002639264,0.9581823,0.027947085,0.0002501805,0.0000035714656,0.013196825],"study_design_scores_gemma":[0.0008192508,0.00005216046,0.035167802,0.00009643035,0.000040964118,0.000019249177,0.00008785885,0.95528877,0.0076716575,0.0001252512,0.00045393629,0.0001766983],"about_ca_topic_score_codex":0.0000036107504,"about_ca_topic_score_gemma":0.000015989564,"teacher_disagreement_score":0.34686336,"about_ca_system_score_codex":0.000073420364,"about_ca_system_score_gemma":0.0000221419,"threshold_uncertainty_score":0.46787104},"labels":[],"label_agreement":null},{"id":"W2589536666","doi":"10.1680/jgeot.15.p.278","title":"The effects of drainage on the behaviour of railway track foundation materials during cyclic loading","year":2017,"lang":"en","type":"article","venue":"Géotechnique","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":57,"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":"Engineering and Physical Sciences Research Council","keywords":"Cyclic stress; Geotechnical engineering; Ballast; Drainage; Shear stress; Shear (geology); Foundation (evidence); Geology; Stress (linguistics); Materials science; Composite material","score_opus":0.005376708728217047,"score_gpt":0.21341427423566575,"score_spread":0.2080375655074487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589536666","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":[0.99151146,0.000026548018,0.0063081696,0.00006588583,0.00039242726,0.00035591976,0.000007060074,0.00020085863,0.0011316475],"genre_scores_gemma":[0.99940264,0.00008267273,0.0002589456,0.0000028691811,0.000050640192,0.00006623282,0.000002513407,0.00003619193,0.00009727574],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993514,0.00002687201,0.00022693416,0.00009625704,0.0001210368,0.00017753466],"domain_scores_gemma":[0.9989747,0.00019554555,0.00011934018,0.0006662402,0.000022454578,0.000021725165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003581534,0.00013212945,0.00016698228,0.000050160503,0.00023934097,0.000070061076,0.00038406713,0.00009976294,0.0000048544985],"category_scores_gemma":[0.00023387952,0.000089864436,0.00005790473,0.0000440383,0.00007815571,0.00008145371,0.000040242354,0.00015516084,0.0000040685472],"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":[0.000009755663,0.000011101351,0.000075698066,0.00026201966,0.00002329521,0.000003297005,0.00014949047,0.0017102802,0.9895704,0.0062800455,0.00003539604,0.0018692203],"study_design_scores_gemma":[0.00012151502,0.000039200015,0.015604458,0.00023648149,0.000013537111,0.0000032925384,0.000009048733,0.0013315137,0.981841,0.00062911195,0.00006751687,0.000103309474],"about_ca_topic_score_codex":0.000024003899,"about_ca_topic_score_gemma":0.0000054536617,"teacher_disagreement_score":0.01552876,"about_ca_system_score_codex":0.000040162282,"about_ca_system_score_gemma":0.000005446555,"threshold_uncertainty_score":0.36645654},"labels":[],"label_agreement":null},{"id":"W2593617676","doi":"10.3141/2607-01","title":"Repeatable Procedure for Determining a Representative Average Rail Profile","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Research Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grinding; Tangent; Repeatability; Midpoint; Simulation; Computer science; Engineering; Statistics; Mathematics; Mechanical engineering; Geometry","score_opus":0.06736902728261056,"score_gpt":0.366424201720371,"score_spread":0.2990551744377604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593617676","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":[0.98088473,0.00017087293,0.014672408,0.000789296,0.00091441034,0.0014476004,0.00023039502,0.0000907239,0.00079957227],"genre_scores_gemma":[0.99038094,0.0004418928,0.006785058,0.000009244099,0.0002816411,0.00024169077,0.000028665358,0.000102849684,0.0017279927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.995738,0.00020157022,0.0009962755,0.0003527903,0.0018187206,0.00089263235],"domain_scores_gemma":[0.9957728,0.00068445073,0.00032261063,0.00081159186,0.0020990341,0.0003095523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002970201,0.00025636252,0.00043415203,0.00054437836,0.0011895946,0.00033905613,0.0013700313,0.00018726922,0.00006544594],"category_scores_gemma":[0.00054201175,0.00020731756,0.0003565031,0.00050402776,0.00038750537,0.00094565336,0.000008434561,0.0016713938,0.000010425854],"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":[0.0046729785,0.0006013671,0.3577891,0.0063613355,0.0015999188,0.00071872986,0.023225741,0.41954845,0.063191354,0.0072776615,0.076706246,0.0383071],"study_design_scores_gemma":[0.0036756622,0.00077767513,0.91353667,0.001105812,0.000087699584,0.0000028338557,0.0019895262,0.045791063,0.013281239,0.004159622,0.015038418,0.0005537893],"about_ca_topic_score_codex":0.00082524476,"about_ca_topic_score_gemma":0.005147601,"teacher_disagreement_score":0.55574757,"about_ca_system_score_codex":0.00019923186,"about_ca_system_score_gemma":0.00032549837,"threshold_uncertainty_score":0.91495204},"labels":[],"label_agreement":null},{"id":"W2601865691","doi":"10.1061/jtepbs.0000043","title":"Quantifying the Impact of Subgrade Stiffness on Track Quality and the Development of Geometry Defects","year":2017,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Pacific Railway (Canada); Canadian Natural Resources; University of Alberta","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Track geometry; Subgrade; Track (disk drive); Stiffness; Deflection (physics); Modulus; Structural engineering; Geotechnical engineering; Geology; Geometry; Mathematics; Engineering; Physics; Optics; Mechanical engineering","score_opus":0.040646854433029865,"score_gpt":0.291352018036109,"score_spread":0.25070516360307915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601865691","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":[0.97607857,0.0007017918,0.022337196,0.000010985982,0.0006662984,0.0001373593,0.000024041661,0.00002439634,0.000019380723],"genre_scores_gemma":[0.9995707,0.00006209005,0.00025580544,4.8645586e-7,0.0000712032,0.0000058221012,0.000003541413,0.00002598384,0.0000043519426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985336,0.000020095722,0.0009250123,0.00007045747,0.00029927804,0.00015154098],"domain_scores_gemma":[0.99882954,0.000264983,0.00047653474,0.0002644147,0.000103380786,0.00006116453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010966894,0.00017110849,0.00046443028,0.00013068912,0.00008683439,0.000047781505,0.0002528003,0.00006632419,0.0000010015616],"category_scores_gemma":[0.00008295148,0.00010059666,0.00019003388,0.00009710926,0.000049351343,0.00013292024,0.0000026569573,0.00023239212,2.5424316e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000562314,0.000015657011,0.004744711,0.0005804589,0.00025201793,0.000001987098,0.0017086983,0.98813343,0.003507861,0.0006346853,0.0000079495085,0.00035628412],"study_design_scores_gemma":[0.0012543013,0.00004701387,0.8111537,0.0006917074,0.00006752314,0.000013580774,0.00024051369,0.18498336,0.001286556,0.0000061598303,0.00008769027,0.0001678755],"about_ca_topic_score_codex":0.000029366018,"about_ca_topic_score_gemma":0.000012903914,"teacher_disagreement_score":0.806409,"about_ca_system_score_codex":0.00004363611,"about_ca_system_score_gemma":0.000032491556,"threshold_uncertainty_score":0.41022128},"labels":[],"label_agreement":null},{"id":"W2604867898","doi":"10.1139/cgj-2015-0623","title":"Vibration velocity of X-section cast-in-place concrete (XCC) pile–raft foundation model for a ballastless track","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Université de Sherbrooke","keywords":"Subsoil; Geotechnical engineering; Foundation (evidence); Pile; Vibration; Critical ionization velocity; Geology; Saturation (graph theory); Structural engineering; Engineering; Soil water; Mechanics; Soil science","score_opus":0.01657122074294448,"score_gpt":0.23117832100570604,"score_spread":0.21460710026276156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604867898","genre_codex":"methods","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":[0.22146218,0.000026483578,0.7771769,0.00023062192,0.00056266936,0.00017930187,0.000050527055,0.000052697615,0.00025861317],"genre_scores_gemma":[0.9951977,0.00004383977,0.004438581,0.000018256453,0.00018602301,0.000012203253,0.000013822368,0.000030102146,0.000059436177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913764,0.000009943239,0.00031694022,0.00011726838,0.00011561814,0.00030260094],"domain_scores_gemma":[0.9993045,0.000034305696,0.00008986673,0.00022112872,0.000090410904,0.00025980294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032671288,0.00012500443,0.00018816827,0.00018624279,0.00019536124,0.00012190931,0.00022133139,0.00020640007,0.000010871573],"category_scores_gemma":[0.00016023412,0.00014358759,0.000077869336,0.000057310044,0.000040570827,0.00028806427,0.000007929053,0.00038658734,0.0000022927502],"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":[0.000013065808,0.000001703124,0.000033647582,0.000033644363,0.000012161792,0.0000049689197,0.000053402757,0.99262756,0.002369013,0.00032826076,0.00031762492,0.004204962],"study_design_scores_gemma":[0.0004388899,0.000036425277,0.0018252524,0.000056348326,0.000011686903,0.000047277586,0.000012086969,0.9959458,0.00024191903,0.00031554236,0.0009214662,0.00014729859],"about_ca_topic_score_codex":0.0014052907,"about_ca_topic_score_gemma":0.015881231,"teacher_disagreement_score":0.7737356,"about_ca_system_score_codex":0.0004815599,"about_ca_system_score_gemma":0.0002410151,"threshold_uncertainty_score":0.88621},"labels":[],"label_agreement":null},{"id":"W2610420599","doi":"","title":"Relationship Between Lifespan and Mechanical Performance of Railway Ballast Aggregate","year":2016,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Road and Rail Infrastructure CETRA","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ballast; Abrasion (mechanical); Tonnage; Aggregate (composite); Environmental science; Toughness; Engineering; Marine engineering; Forensic engineering; Geology; Materials science; Mechanical engineering; Composite material","score_opus":0.013563985108667834,"score_gpt":0.2130332555546999,"score_spread":0.19946927044603208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610420599","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":[0.99674886,0.000023034601,0.0001493725,0.00045541604,0.00022018197,0.00006301283,0.00004170093,0.000041099825,0.0022573029],"genre_scores_gemma":[0.9992808,0.00009483841,0.00038638012,0.000010235358,0.00007660982,0.0000029592577,0.0000015071914,0.000013526131,0.00013315967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993134,0.0000021902886,0.00022797623,0.00013269152,0.00020928662,0.00011442343],"domain_scores_gemma":[0.9996131,0.00005482363,0.00008990063,0.000060493585,0.00012761207,0.00005407972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010647015,0.00013568815,0.00016015006,0.000090865906,0.000035209134,0.000026496786,0.00025030551,0.00009590172,0.000018515428],"category_scores_gemma":[0.00012184339,0.0000825269,0.000034452078,0.00007577181,0.00010071752,0.00014674486,0.00006388169,0.00016603808,7.6206345e-7],"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":[0.00012636546,0.000015670561,0.6545077,0.00045676992,0.00017770614,2.695939e-7,0.0006181497,0.0011708069,0.15225087,0.15215763,0.00037442803,0.0381436],"study_design_scores_gemma":[0.0005751713,0.00012629815,0.94368166,0.000580361,0.000024560144,0.000014448769,0.000056022374,0.029416505,0.019825293,0.0052896617,0.00019897036,0.00021103311],"about_ca_topic_score_codex":0.0000016600428,"about_ca_topic_score_gemma":6.293451e-7,"teacher_disagreement_score":0.28917396,"about_ca_system_score_codex":0.000023973751,"about_ca_system_score_gemma":0.000012550564,"threshold_uncertainty_score":0.33653492},"labels":[],"label_agreement":null},{"id":"W2610842834","doi":"10.24900/ijss/01022939.2017.0601","title":"Analytical development of Orthotropic plate on Winkler elastic foundation subjected to moving distributed load","year":2017,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Orthotropic material; Foundation (evidence); Moving load; Structural engineering; Materials science; Geology; Engineering; Finite element method; Geography","score_opus":0.011799485212468337,"score_gpt":0.2634192846012232,"score_spread":0.2516197993887549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610842834","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":[0.7178158,0.000003535051,0.2804448,0.0001372368,0.0010439195,0.000024896855,0.000007991959,0.000013801335,0.0005079768],"genre_scores_gemma":[0.9931593,0.0000069064945,0.0067168684,0.000010163127,0.00007994137,4.226627e-7,0.0000028168026,0.000006363116,0.000017238572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985797,0.0000037632044,0.00039508863,0.00009175396,0.0007871609,0.00014257638],"domain_scores_gemma":[0.99900246,0.00004929542,0.00014821826,0.0001368781,0.00055583793,0.00010730464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003884074,0.00008375487,0.00012363539,0.00022128128,0.00011237666,0.00010388223,0.00070068566,0.000024914396,0.000015971435],"category_scores_gemma":[0.0006327554,0.000075180855,0.000038504226,0.00012997739,0.000080070815,0.00034169038,0.00005962701,0.00013078107,0.000012320785],"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":[0.00010697424,0.00003547687,0.005016549,0.000010645759,0.000083913204,0.000024318675,0.00035563207,0.9524132,0.019084105,0.001912143,0.000019111276,0.020937948],"study_design_scores_gemma":[0.00048497695,0.00007051428,0.63510084,0.0002788372,0.000010022861,0.00003817141,0.000023366441,0.35648277,0.0061860206,0.000121504556,0.001047169,0.00015581807],"about_ca_topic_score_codex":0.0000027421772,"about_ca_topic_score_gemma":0.0000085815755,"teacher_disagreement_score":0.6300843,"about_ca_system_score_codex":0.00048823335,"about_ca_system_score_gemma":0.00022272293,"threshold_uncertainty_score":0.30657864},"labels":[],"label_agreement":null},{"id":"W2616555708","doi":"10.1177/0954409717708895","title":"Influence of a flexible wheelset on the dynamic responses of a high-speed railway car due to a wheel flat","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bogie; Structural engineering; Axle; Track (disk drive); Acceleration; Vibration; Flexibility (engineering); Engineering; Slab; Critical speed; Multibody system; Automotive engineering; Mechanical engineering; Acoustics; Physics","score_opus":0.009990657271910966,"score_gpt":0.21314375137213842,"score_spread":0.20315309410022747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616555708","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":[0.9938261,0.00027630394,0.004371286,0.00076003256,0.0003698044,0.00020065079,0.000056341076,0.000022717575,0.00011678566],"genre_scores_gemma":[0.99869955,0.0002868407,0.00090747024,0.000015232817,0.0000365351,0.0000035220085,3.9606414e-7,0.000019950228,0.000030513931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984753,0.000010635208,0.00074058725,0.00012760097,0.00044226318,0.00020360098],"domain_scores_gemma":[0.9987692,0.00011759067,0.00039101395,0.00023254985,0.00036965075,0.00011996889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076828426,0.00021894177,0.0005879904,0.00021688413,0.00010059167,0.00002078275,0.00063065434,0.00013596892,0.0000048075035],"category_scores_gemma":[0.0004722504,0.00014187137,0.00022390483,0.00021320194,0.00021807765,0.0002473777,0.00004401769,0.00035327865,4.3387408e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005818118,0.000055452125,0.000025402365,0.0005427421,0.00028184344,0.000003056233,0.0009281776,0.6277769,0.3501283,0.018692844,0.000101209735,0.00088222587],"study_design_scores_gemma":[0.0041134376,0.0020273991,0.01164622,0.005788917,0.0005536687,0.0003222027,0.00064211583,0.1274453,0.84387755,0.0017477879,0.0011210204,0.0007143737],"about_ca_topic_score_codex":0.000014626887,"about_ca_topic_score_gemma":0.0000020208188,"teacher_disagreement_score":0.50033164,"about_ca_system_score_codex":0.00003759508,"about_ca_system_score_gemma":0.000055302404,"threshold_uncertainty_score":0.57853466},"labels":[],"label_agreement":null},{"id":"W2617362040","doi":"10.1177/0954409717710100","title":"Editorial for JRRT ICRI special edition","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science","score_opus":0.008659770352408282,"score_gpt":0.20152083826084402,"score_spread":0.19286106790843574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617362040","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":[0.47203708,0.0010870674,0.18382107,0.002207794,0.33656344,0.0010219488,0.00028515558,0.00017690647,0.0027995454],"genre_scores_gemma":[0.9677024,0.00047482963,0.0017324642,0.0000046794007,0.030047223,0.00000388179,0.0000012401227,0.000018410903,0.000014908491],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99897027,0.0000015888305,0.00047516546,0.00008554118,0.00031017797,0.00015728048],"domain_scores_gemma":[0.99923694,0.000033022556,0.00023774093,0.00008640065,0.00031473866,0.00009116405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045673078,0.00014832824,0.00033595331,0.00008777093,0.0001298995,0.000034342327,0.00032812508,0.00015878379,0.0000047971193],"category_scores_gemma":[0.00022956647,0.00011222761,0.00022805225,0.000057820846,0.000113896356,0.00035986694,0.000017051289,0.00026032803,2.090793e-7],"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":[0.0016084184,0.00035083198,0.000076747645,0.0039211237,0.0012843693,0.0000033261574,0.0014761199,0.2401235,0.41848758,0.14483717,0.16429062,0.023540208],"study_design_scores_gemma":[0.013566961,0.0019636562,0.0008479984,0.0029591515,0.0011703522,0.00025890395,0.000439796,0.2047933,0.43346334,0.009813387,0.32943743,0.0012857207],"about_ca_topic_score_codex":9.964916e-7,"about_ca_topic_score_gemma":5.2511655e-7,"teacher_disagreement_score":0.49566528,"about_ca_system_score_codex":0.0000294363,"about_ca_system_score_gemma":0.00003094522,"threshold_uncertainty_score":0.4576509},"labels":[],"label_agreement":null},{"id":"W2618597273","doi":"10.1139/cgj-2016-0673","title":"Effects of inclusion contents on resilient modulus and damping ratio of unsaturated track-bed materials","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Damping ratio; Materials science; Modulus; Subgrade; Substructure; Dynamic modulus; Ballast; Composite material; Inclusion (mineral); Geotechnical engineering; Soil water; Mineralogy; Dynamic mechanical analysis; Geology; Structural engineering; Soil science; Physics; Engineering","score_opus":0.006620237567617911,"score_gpt":0.20571188978744157,"score_spread":0.19909165221982367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618597273","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":[0.9958219,0.00017768079,0.0027846482,0.00009095314,0.0008855065,0.00011788205,0.000029319104,0.000030207995,0.00006191637],"genre_scores_gemma":[0.9996034,0.00012517798,0.00016181929,0.000015154996,0.000055764074,0.0000018405217,0.0000032506584,0.000020257268,0.000013324242],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923044,0.000020317048,0.00029414872,0.00009015429,0.00013863396,0.00022628604],"domain_scores_gemma":[0.9992791,0.000049885657,0.00010119379,0.00021958735,0.00005704285,0.00029320017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019722356,0.00011935354,0.0002501875,0.00015337965,0.00022249963,0.000052204705,0.0002267338,0.00014457945,0.00000661328],"category_scores_gemma":[0.00031506692,0.00011106629,0.000037569356,0.00003956642,0.0000623715,0.00008388637,0.00004911573,0.00024490905,8.168646e-7],"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":[0.00004101448,0.000018603469,0.000056515615,0.00024811272,0.00006601208,0.00012946784,0.00015131406,0.16247086,0.8282818,0.00043775098,0.00032899907,0.0077695334],"study_design_scores_gemma":[0.0020973398,0.00037471062,0.043794017,0.0016975706,0.000070774506,0.00012799191,0.0000226278,0.32534823,0.6246399,0.00051847333,0.00080235495,0.0005059487],"about_ca_topic_score_codex":0.0012187115,"about_ca_topic_score_gemma":0.00036763537,"teacher_disagreement_score":0.20364186,"about_ca_system_score_codex":0.00011976189,"about_ca_system_score_gemma":0.00004557253,"threshold_uncertainty_score":0.4529152},"labels":[],"label_agreement":null},{"id":"W2618762351","doi":"10.2316/journal.206.2017.3.206-4983","title":"OPTIMIZATION ANALYSIS OF ENERGY-ABSORBING STRUCTURES IN SUBWAY TRAIN","year":2017,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Social Science Fund of China; National Natural Science Foundation of China; China Railway","keywords":"Energy (signal processing); Computer science; Automotive engineering; Engineering; Physics","score_opus":0.006615125940581589,"score_gpt":0.22961207076021947,"score_spread":0.2229969448196379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618762351","genre_codex":"methods","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":[0.3755426,0.00022200467,0.6234001,0.000105144674,0.0005713692,0.000011798862,0.000006936041,0.00001258787,0.00012747724],"genre_scores_gemma":[0.9815579,0.0003724691,0.017996324,0.0000043156956,0.00004778679,2.1703954e-7,0.000009757684,0.000006212413,0.00000499017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994459,0.0000066873026,0.00030265853,0.000037976934,0.0001589144,0.000047847578],"domain_scores_gemma":[0.9995365,0.000031065803,0.00020083552,0.00006564363,0.00014484997,0.00002107535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013309442,0.000056589823,0.00015499462,0.00045806647,0.0000176365,0.000060002214,0.00014198346,0.00003831759,0.0000034990198],"category_scores_gemma":[0.00007093453,0.000053749616,0.00005182865,0.000069737405,0.000017160102,0.0002257021,0.0000108048525,0.00005562373,3.2495905e-8],"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":[0.0000033159924,0.0000050166113,0.0014844429,0.000008978666,0.00032011906,0.0000045226766,0.00013983522,0.98899555,0.00043440805,0.0033476271,0.000004530026,0.00525163],"study_design_scores_gemma":[0.00019050234,0.0000090335,0.033435628,0.000047802157,0.000064359876,0.000008234559,0.00002268377,0.9652877,0.00024720744,0.00063372386,0.00000665387,0.000046509846],"about_ca_topic_score_codex":0.0000067749997,"about_ca_topic_score_gemma":0.000014646599,"teacher_disagreement_score":0.6060153,"about_ca_system_score_codex":0.000044767647,"about_ca_system_score_gemma":0.000008418929,"threshold_uncertainty_score":0.21918458},"labels":[],"label_agreement":null},{"id":"W2620938077","doi":"10.1177/0954409717708079","title":"Designing and assessing wheel/rail profiles for improved rolling contact fatigue and wear performance","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Track (disk drive); Head (geology); Inertia; Automotive engineering; Range (aeronautics); Conical surface; RADIUS; Computer science; Engineering; Structural engineering; Mechanical engineering; Aerospace engineering; Geology","score_opus":0.01668529776881587,"score_gpt":0.22001876967534512,"score_spread":0.20333347190652926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620938077","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":[0.9000644,0.0010827853,0.09789189,0.00025240096,0.00040617012,0.00020090559,0.000010696531,0.000027087735,0.00006365535],"genre_scores_gemma":[0.9851641,0.0013522902,0.013366881,0.0000048170396,0.000084493135,0.0000040284826,4.4172208e-7,0.000017682132,0.0000052706464],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991457,0.0000029807716,0.00043077016,0.00010930758,0.00013957884,0.00017170275],"domain_scores_gemma":[0.9993736,0.000052805666,0.00024553036,0.00006632495,0.0001644536,0.00009726863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056699646,0.00017013504,0.00037695825,0.00009021249,0.00020856338,0.000084150444,0.00017450757,0.00011445549,6.671054e-7],"category_scores_gemma":[0.00014788464,0.00012700167,0.00009090494,0.000048526,0.0001054549,0.0006125004,0.000020982729,0.0002502871,1.7820778e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025492758,0.000045210123,0.0005947117,0.0032965213,0.0003905711,0.0000010333462,0.0008905438,0.048404492,0.91472185,0.0059927804,0.000040522238,0.025366852],"study_design_scores_gemma":[0.002410736,0.00039360265,0.0013639942,0.0017868461,0.00022343696,0.000111499336,0.0002926511,0.76080406,0.23170686,0.00020782207,0.00041449015,0.00028398068],"about_ca_topic_score_codex":0.0000012328915,"about_ca_topic_score_gemma":3.2248127e-7,"teacher_disagreement_score":0.7123996,"about_ca_system_score_codex":0.000016992184,"about_ca_system_score_gemma":0.000025707488,"threshold_uncertainty_score":0.5178978},"labels":[],"label_agreement":null},{"id":"W2621329470","doi":"10.1177/1748006x17710816","title":"Optimizing the re-profiling policy regarding metropolitan train wheels based on a semi-Markov decision process","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Central University Basic Research Fund of China; China Scholarship Council","keywords":"Flange; Profiling (computer programming); Markov decision process; Imperfect; Computer science; Mathematical optimization; Engineering; Structural engineering; Mathematics; Markov process; Statistics","score_opus":0.008453485537065255,"score_gpt":0.2434860538262645,"score_spread":0.23503256828919925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621329470","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":[0.9350354,0.0002518201,0.06191216,0.00050279923,0.000955122,0.00026636227,0.000038457332,0.000055215372,0.0009826858],"genre_scores_gemma":[0.9872789,0.00038390784,0.012115421,0.000009797112,0.00018273147,0.0000040007244,4.0714278e-7,0.000021911894,0.0000029342016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982576,0.00001825195,0.0007603246,0.00017677264,0.000534696,0.0002523974],"domain_scores_gemma":[0.99826986,0.0003195375,0.00055454933,0.000316101,0.00040291867,0.00013702466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025189053,0.00023261944,0.0004697761,0.00018063624,0.0003323731,0.00006583148,0.00068304245,0.00017445246,0.0000015341819],"category_scores_gemma":[0.0064622066,0.0001375794,0.00028694366,0.00023413416,0.0002371162,0.00030281945,0.00006568024,0.00073211663,1.3164757e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020019626,0.000056622237,0.00052162725,0.00040297996,0.000058174523,6.9220266e-7,0.00026255168,0.98428136,0.0027554622,0.009144884,0.000052606967,0.002262867],"study_design_scores_gemma":[0.0011516904,0.00021389179,0.0004889412,0.0013442788,0.00015300127,0.000021485634,0.0006583648,0.94182724,0.047193006,0.0064879707,0.00021893506,0.00024116908],"about_ca_topic_score_codex":0.000015715881,"about_ca_topic_score_gemma":0.0000010726783,"teacher_disagreement_score":0.052243512,"about_ca_system_score_codex":0.00021752164,"about_ca_system_score_gemma":0.00008393719,"threshold_uncertainty_score":0.7736332},"labels":[],"label_agreement":null},{"id":"W2621488043","doi":"10.1139/cgj-2016-0606","title":"Investigation of immersion influence on dynamic properties of high-speed railway subgrade with semi-rigid waterproof functional layer through field-excitation testing","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Railway Eryuan Engineering Group; Central South University","keywords":"Subgrade; Geotechnical engineering; Shrinkage; Service life; Vibration; Waterproofing; Structural engineering; Materials science; Engineering; Composite material","score_opus":0.01975580530971207,"score_gpt":0.199100529301622,"score_spread":0.17934472399190993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621488043","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":[0.9876667,0.00005833516,0.011471807,0.0003464441,0.00018092645,0.00010179287,0.000011782259,0.000046833866,0.00011532851],"genre_scores_gemma":[0.9984999,0.000016748256,0.0013275535,0.00004717409,0.000046702826,0.0000033065546,0.000007597075,0.000026937098,0.000024115197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904585,0.000015506015,0.0003202249,0.00012728124,0.00023672404,0.0002544166],"domain_scores_gemma":[0.9991792,0.00005242576,0.00014739032,0.00026251576,0.0001687433,0.00018976063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015892921,0.00015426196,0.00019857317,0.00015906944,0.00019779937,0.000056957397,0.0002257676,0.00015202053,0.000007743017],"category_scores_gemma":[0.00020240358,0.00012621749,0.000043676377,0.000110701025,0.00011345656,0.00031884533,0.000013071996,0.00044128305,0.0000029945177],"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":[0.000032575354,0.0000046227383,0.002248137,0.00008454044,0.000033756056,0.000011923536,0.000104301354,0.89777094,0.09826869,0.00015363867,0.00007659003,0.0012102831],"study_design_scores_gemma":[0.0011668522,0.0007022275,0.21059892,0.002137428,0.00007252045,0.00022110362,0.00010064405,0.7089282,0.07385446,0.0015030585,0.000102419646,0.00061215775],"about_ca_topic_score_codex":0.004680212,"about_ca_topic_score_gemma":0.0011298729,"teacher_disagreement_score":0.20835078,"about_ca_system_score_codex":0.00019362649,"about_ca_system_score_gemma":0.00017417785,"threshold_uncertainty_score":0.70751125},"labels":[],"label_agreement":null},{"id":"W2622320425","doi":"10.1080/23248378.2017.1336652","title":"Optimization of secondary suspension of three-piece bogie with bevelled friction wedge geometry","year":2017,"lang":"en","type":"article","venue":"International Journal of Rail Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Wedge (geometry); Bogie; Bolster; Structural engineering; Geometry; Contact geometry; Engineering; Mathematics","score_opus":0.008987528461734886,"score_gpt":0.21732930992679503,"score_spread":0.20834178146506013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622320425","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":[0.6648758,0.000105477535,0.33371454,0.000057559406,0.00078019995,0.000049736198,0.00004540465,0.000018738865,0.00035250417],"genre_scores_gemma":[0.98786324,0.00023915166,0.011710931,0.0000028988854,0.0000910322,9.984243e-7,0.00005035149,0.000021702985,0.00001967723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99892884,0.000005636153,0.0005115053,0.00007071302,0.00040391146,0.00007938266],"domain_scores_gemma":[0.9988381,0.00003771316,0.0004788713,0.00012806842,0.00047729406,0.000039955394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001691777,0.00010923167,0.00020668845,0.00027127875,0.000033615386,0.000024023957,0.0002595269,0.00007300679,0.000046391455],"category_scores_gemma":[0.00003372949,0.00009994885,0.00008964508,0.00006950357,0.000040432013,0.000503132,0.0000029172688,0.00015707908,6.662131e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017222011,0.000037564245,0.007811977,0.00005917007,0.00021234792,0.000016497168,0.00023022278,0.9763895,0.0066484753,0.00022486888,0.000037272734,0.008159845],"study_design_scores_gemma":[0.0036600155,0.00032641072,0.5169883,0.00064049766,0.00016984498,0.00005976932,0.00016825576,0.45117277,0.025987428,0.00028198646,0.00024071512,0.00030402423],"about_ca_topic_score_codex":0.000020469974,"about_ca_topic_score_gemma":0.00006610661,"teacher_disagreement_score":0.52521676,"about_ca_system_score_codex":0.000049226976,"about_ca_system_score_gemma":0.00004805667,"threshold_uncertainty_score":0.40757957},"labels":[],"label_agreement":null},{"id":"W2635968501","doi":"10.1061/jtepbs.0000071","title":"Quantifying the Effectiveness of Methods Used to Improve Railway Track Performance over Soft Subgrades: Methodology and Case Study","year":2017,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Pacific Railway (Canada); National Research Council Canada; Canadian Natural Resources; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Subgrade; Track (disk drive); Deflection (physics); Stiffness; Structural engineering; Engineering; Ballast; Geotechnical engineering; Mechanical engineering","score_opus":0.06570420591760343,"score_gpt":0.3416927517837537,"score_spread":0.2759885458661503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2635968501","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":[0.7076645,0.0003364048,0.290027,0.0000032420642,0.001603838,0.00030997314,0.000012457973,0.000039979273,0.0000026122812],"genre_scores_gemma":[0.99347687,0.000029563489,0.0062869373,7.4833713e-7,0.00011811196,0.000031397783,0.0000013292092,0.00005059829,0.0000044257117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851465,0.00017724874,0.0007567295,0.00014456671,0.00018927385,0.000217528],"domain_scores_gemma":[0.99824274,0.0009126564,0.00026000562,0.0003499475,0.000119624245,0.000115031966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00400987,0.00023111266,0.00061765086,0.00019997552,0.00010733016,0.00007948618,0.00023607897,0.000095117095,8.489449e-7],"category_scores_gemma":[0.00017487699,0.00018085736,0.000113688264,0.000120810255,0.000026750931,0.00028834018,0.0000056137887,0.0003105137,2.881702e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005085735,0.00002553039,0.01611695,0.0012243112,0.00026744386,0.00010769882,0.002686837,0.9533738,0.025212217,0.000057759757,0.0000031550803,0.000873469],"study_design_scores_gemma":[0.002078306,0.0006646308,0.29602692,0.00090739876,0.00038128396,0.0009917691,0.0018833798,0.68900704,0.0071172365,0.0000025463416,0.0004382836,0.00050123996],"about_ca_topic_score_codex":0.00007327026,"about_ca_topic_score_gemma":0.0000326838,"teacher_disagreement_score":0.28581238,"about_ca_system_score_codex":0.000041718078,"about_ca_system_score_gemma":0.000018799294,"threshold_uncertainty_score":0.7375149},"labels":[],"label_agreement":null},{"id":"W2705214852","doi":"","title":"Defect-based Condition Assessment Model of Railway infrastructure","year":2017,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track geometry; Track (disk drive); Ballast; Component (thermodynamics); Engineering; Focus (optics); Quality (philosophy); Transport engineering; Process (computing); Computer science; Mechanical engineering","score_opus":0.01366123627503456,"score_gpt":0.26528689092330066,"score_spread":0.2516256546482661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2705214852","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":[0.7174201,0.00012631838,0.0047240085,0.000026362428,0.0013379768,0.00044771857,0.00016359858,0.00034956186,0.2754044],"genre_scores_gemma":[0.9836392,0.00012802635,0.0002378448,0.0000016758596,0.000105751045,0.0000056739473,0.00059298263,0.000099735655,0.015189126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784476,0.00010629647,0.00028719485,0.0004493234,0.0007305654,0.00058188644],"domain_scores_gemma":[0.9983193,0.00012353454,0.00016561846,0.0009001754,0.00026301263,0.00022832853],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028271685,0.00037663378,0.00050582376,0.0012345145,0.00041547016,0.00011695624,0.0007968279,0.00050908746,0.00003072842],"category_scores_gemma":[0.00003961536,0.00045990755,0.0003267673,0.00035422295,0.00016760024,0.00024154877,0.000038685026,0.0014899189,0.000006498343],"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":[0.0001784019,0.00005874338,0.0028046549,0.001381377,0.00044841212,0.00024444013,0.00017425386,0.92667246,0.059332848,0.0032589848,0.0044798977,0.0009655056],"study_design_scores_gemma":[0.0011483253,0.00025224927,0.031762276,0.000511781,0.00016815,0.000006616984,0.00039912184,0.919947,0.03577503,0.00070104067,0.008456276,0.0008721183],"about_ca_topic_score_codex":0.0005270745,"about_ca_topic_score_gemma":0.0013196938,"teacher_disagreement_score":0.2662191,"about_ca_system_score_codex":0.0009472453,"about_ca_system_score_gemma":0.0009935513,"threshold_uncertainty_score":0.99978524},"labels":[],"label_agreement":null},{"id":"W27239056","doi":"10.1111/petr.12729","title":"Investigating the stress on wheels and rails","year":2011,"lang":"en","type":"article","venue":"Pediatric Transplantation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"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":"Canadian Association for the Study of the Liver","keywords":"Finite element method; Workstation; Displacement (psychology); Stress (linguistics); Computer science; Engineering; Simulation; Mechanical engineering; Structural engineering","score_opus":0.012630661673601594,"score_gpt":0.18437545400192118,"score_spread":0.17174479232831957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W27239056","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":[0.9822422,0.00021302699,0.014396973,0.0000111556,0.00020149682,0.000076497025,0.00003504628,0.00023119143,0.0025923843],"genre_scores_gemma":[0.9965224,0.0021237812,0.0011684943,0.000015531099,0.00011541539,0.000010708929,0.000016249152,0.000016337985,0.000011064214],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996317,0.000009557028,0.00009927777,0.00007568114,0.00007423654,0.00010952575],"domain_scores_gemma":[0.999804,0.00006656054,0.000012025428,0.0000718936,0.0000070354836,0.000038486178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006528455,0.00008353429,0.00005203946,0.00005001698,0.000044181605,0.000015223598,0.00005257913,0.000037774204,0.000004984469],"category_scores_gemma":[0.000006048549,0.00006567033,0.000013940713,0.00009518038,0.000011962415,0.00006651092,0.0000015306497,0.00010380798,0.000008214953],"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":[0.00003790221,0.00006963211,0.28360766,0.0027346534,0.000084865016,0.000035437977,0.0459134,0.6433213,0.0012349472,0.00859024,0.00046884705,0.013901141],"study_design_scores_gemma":[0.0006634284,0.0000755722,0.86209375,0.0000453176,0.00018696344,0.000023442806,0.000092743205,0.1334241,0.0021500653,0.00079401425,0.00005073805,0.00039988433],"about_ca_topic_score_codex":0.000012775944,"about_ca_topic_score_gemma":0.000008608517,"teacher_disagreement_score":0.5784861,"about_ca_system_score_codex":0.00000683343,"about_ca_system_score_gemma":0.0000037068858,"threshold_uncertainty_score":0.2677958},"labels":[],"label_agreement":null},{"id":"W2724697486","doi":"10.1299/jsmetld.2013.22.149","title":"1302 Wheel wear simulation and its validation based on running tests on a test track","year":2013,"lang":"en","type":"article","venue":"The Proceedings of the Transportation and Logistics Conference","topic":"Railway Engineering and Dynamics","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":"Thinkpath Engineering Services (Canada)","funders":"","keywords":"Flange; Track (disk drive); Curvature; Automotive engineering; Structural engineering; Line (geometry); Engineering; Simulation; Computer science; Mechanical engineering; Mathematics","score_opus":0.020514145874094877,"score_gpt":0.22052842451006452,"score_spread":0.20001427863596966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724697486","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":[0.9901417,0.000016479058,0.008048203,0.00026594024,0.00006136412,0.00028203017,0.000024137038,0.000107532636,0.0010526292],"genre_scores_gemma":[0.99954057,0.000025554753,0.00029907742,0.000037607144,0.000015385403,0.0000134123065,0.0000067683827,0.00001443011,0.00004722519],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948305,0.0000020345242,0.00016733095,0.00010739525,0.000137241,0.000102957856],"domain_scores_gemma":[0.99956006,0.0001682355,0.000056886205,0.00005805642,0.000121873854,0.00003491663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094432246,0.000120325254,0.000099706536,0.00004294993,0.00007046373,0.000055174,0.000094227136,0.000054533026,0.000008390094],"category_scores_gemma":[0.000098004,0.00008168628,0.000019128318,0.00009542178,0.000045605917,0.00008639373,0.0000021754659,0.00014041479,0.0000025624863],"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":[0.0000101885735,0.000019990128,0.0031421832,0.00016761001,0.0000068606746,7.572741e-8,0.0007094698,0.97443855,0.009888966,0.010812779,0.000015971907,0.0007873817],"study_design_scores_gemma":[0.00018112731,0.000060396833,0.09501799,0.000116662275,0.00002282724,2.1080058e-7,0.00008529381,0.90108246,0.0025726669,0.00075521524,0.0000132682635,0.00009188314],"about_ca_topic_score_codex":0.000007209682,"about_ca_topic_score_gemma":0.0000027297076,"teacher_disagreement_score":0.09187581,"about_ca_system_score_codex":0.000009939737,"about_ca_system_score_gemma":0.0000066544317,"threshold_uncertainty_score":0.333107},"labels":[],"label_agreement":null},{"id":"W2731597005","doi":"10.1299/jsmestech.2015._2e23-1_","title":"2E23 Friction management as an integral part of the railway system(Infrastructure)","year":2015,"lang":"en","type":"article","venue":"The Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems STECH","topic":"Railway Engineering and Dynamics","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":"L.B. Foster Rail Technologies (Canada)","funders":"","keywords":"Friction modifier; Lubricant; Automotive engineering; Track (disk drive); Vibration; Mechanical engineering; Traction (geology); Lubrication; Face (sociological concept); Materials science; Engineering","score_opus":0.00666083783990205,"score_gpt":0.20381899054066044,"score_spread":0.1971581527007584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2731597005","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":[0.9878334,0.00027713558,0.0006709355,0.0011302389,0.0019235432,0.00080300437,0.000073482915,0.00040768847,0.0068806023],"genre_scores_gemma":[0.99896675,0.00010252993,0.0002579451,0.000036589216,0.00010149811,0.00010478982,0.000009542858,0.000036092086,0.00038423613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879855,0.0000064806186,0.00043224456,0.0002544579,0.00028430388,0.00022397038],"domain_scores_gemma":[0.9991139,0.000031286876,0.00018253904,0.00019670758,0.00040887893,0.00006668249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040394696,0.0002471504,0.00030006413,0.00018037728,0.00010280004,0.00005756877,0.00057236326,0.00023630005,7.774056e-7],"category_scores_gemma":[0.00001830369,0.00016505974,0.000056002278,0.0003115273,0.000099135825,0.00017018754,0.00012822881,0.00023046798,0.000001652164],"study_design_candidate":"theoretical_or_conceptual","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":[0.00036477164,0.00008460751,0.0026138674,0.003813682,0.00080564065,0.0000012655254,0.002901587,0.02395584,0.045374237,0.9167032,0.0010507938,0.00233048],"study_design_scores_gemma":[0.007994099,0.0020780207,0.0036228655,0.004474564,0.0007930319,0.0012328967,0.08595171,0.75833327,0.06013473,0.017982239,0.05556793,0.0018346729],"about_ca_topic_score_codex":0.00006306676,"about_ca_topic_score_gemma":0.000010109577,"teacher_disagreement_score":0.898721,"about_ca_system_score_codex":0.00009347931,"about_ca_system_score_gemma":0.000009963416,"threshold_uncertainty_score":0.6730941},"labels":[],"label_agreement":null},{"id":"W2736726216","doi":"10.1177/0954409717720347","title":"Evaluating the impact of ballast undercutting on the roughness of track geometry over different subgrade conditions","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"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 Alberta","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Ballast; Subgrade; Track (disk drive); Surface finish; Track geometry; Silt; Geotechnical engineering; Surface roughness; Engineering; Structural engineering; Environmental science; Geology; Materials science; Mechanical engineering; Composite material; Electrical engineering; Geomorphology","score_opus":0.028561235748632372,"score_gpt":0.28139469672917766,"score_spread":0.25283346098054527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736726216","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":[0.99517304,0.00024636014,0.0035176936,0.00029118045,0.00041287753,0.00014797176,0.000039810217,0.000012402475,0.00015867656],"genre_scores_gemma":[0.9994736,0.00024413897,0.00017970003,0.000004982199,0.0000736297,0.0000024352014,6.4247337e-7,0.000015828107,0.0000050615567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861515,0.000012446134,0.00067414617,0.00008963313,0.00043721407,0.00017141653],"domain_scores_gemma":[0.9988363,0.00020119737,0.00050831964,0.00016810713,0.00022337785,0.000062722145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000814831,0.00019283658,0.00043381605,0.00010916712,0.0001664063,0.00002642766,0.00048482683,0.00010335265,0.000010480763],"category_scores_gemma":[0.00034966232,0.00009724736,0.0003809255,0.00015209413,0.00023147106,0.00018775648,0.000027802687,0.00041789855,8.988542e-8],"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":[0.00015100137,0.00013960664,0.00036486675,0.00056213635,0.0007019426,5.166165e-7,0.0007256183,0.7022859,0.26932505,0.024133582,0.00010619446,0.0015035917],"study_design_scores_gemma":[0.0030393444,0.0015516129,0.029581072,0.0031477802,0.0006818117,0.00013162314,0.00080997235,0.69997674,0.2582263,0.002368292,0.000059018123,0.00042641102],"about_ca_topic_score_codex":0.000008349924,"about_ca_topic_score_gemma":8.905443e-7,"teacher_disagreement_score":0.029216206,"about_ca_system_score_codex":0.000043027016,"about_ca_system_score_gemma":0.00003735475,"threshold_uncertainty_score":0.3965632},"labels":[],"label_agreement":null},{"id":"W2737936997","doi":"10.1139/cjce-2017-0076","title":"Canadian main track derailment trends, 2001 to 2014","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Derailment; Track (disk drive); Forensic engineering; Stock (firearms); Engineering; Transport engineering; Geography; Archaeology","score_opus":0.006777087290343466,"score_gpt":0.1870456445881239,"score_spread":0.18026855729778044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737936997","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":[0.46446592,0.012125211,0.2637896,0.0124665005,0.04265098,0.0010498036,0.0015999252,0.00096016104,0.20089191],"genre_scores_gemma":[0.99675894,0.000051037077,0.0018564139,0.000061720246,0.00045633648,0.000004242219,0.000004927617,0.000096457654,0.0007099355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839264,0.000005762009,0.00037977318,0.00013407719,0.00016770829,0.0009200081],"domain_scores_gemma":[0.99649376,0.00002094191,0.00005792834,0.00046867196,0.000071472285,0.0028872113],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031011636,0.0002771669,0.00032623965,0.0011111561,0.00020175503,0.00029633683,0.0006561252,0.00013137532,0.0004542377],"category_scores_gemma":[0.00013754284,0.00031672287,0.00013194233,0.00014084067,0.000017417007,0.00027151895,0.00000961609,0.00040736978,0.000069073845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011695976,0.0000017676592,0.000728655,0.000030007135,0.000068389076,0.00031079803,0.00019082142,0.9286041,0.00035733238,0.00014154757,0.066885225,0.0026801878],"study_design_scores_gemma":[0.00072959246,0.000118587326,0.041246373,0.00042258698,0.00006597453,0.00064899976,0.0000637469,0.21305326,0.00025429457,0.00005973621,0.7421921,0.0011447745],"about_ca_topic_score_codex":0.04868655,"about_ca_topic_score_gemma":0.9433918,"teacher_disagreement_score":0.89470524,"about_ca_system_score_codex":0.0010655051,"about_ca_system_score_gemma":0.0005646914,"threshold_uncertainty_score":0.9999285},"labels":[],"label_agreement":null},{"id":"W2742581773","doi":"10.1139/cgj-2016-0633","title":"Design of ballasted railway track foundations using numerical modelling. Part I: Development","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ballast; Subgrade; Track (disk drive); Finite element method; Structural engineering; Engineering; Train; Track geometry; Axle; Deformation (meteorology); Slab; Geotechnical engineering; Mechanical engineering; Geology","score_opus":0.04450064538643312,"score_gpt":0.23664684045688464,"score_spread":0.19214619507045153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742581773","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014690068,0.00009104539,0.98427206,0.00007213223,0.00046448066,0.00008987826,0.000009674667,0.000075989905,0.0002346646],"genre_scores_gemma":[0.92682874,0.00004183664,0.072878405,0.000014902001,0.00013592908,0.000003561369,0.000004494014,0.000043704535,0.000048411595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988132,0.000018156883,0.00042108056,0.00012287039,0.00018306279,0.00044158768],"domain_scores_gemma":[0.99886566,0.000037926897,0.000088479916,0.00032866924,0.00008966456,0.0005895941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031614996,0.00016659724,0.0002313923,0.00018747238,0.0004437071,0.00015631663,0.00042453053,0.00017020096,0.00006370943],"category_scores_gemma":[0.00008004525,0.00017671593,0.000071372735,0.00008473113,0.00006192276,0.0001679979,0.00001770652,0.00047266498,0.000014005312],"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":[0.0000025551076,0.0000063215343,0.000020871204,0.000009363191,0.000038605263,0.000027578562,0.000038909184,0.9957918,0.00018809756,0.00006715507,0.00022892882,0.0035798112],"study_design_scores_gemma":[0.00017630956,0.000015822983,0.00020348589,0.0000738886,0.000017346169,0.00014233611,0.000007500391,0.98884434,0.00014014039,0.000109002896,0.010067183,0.00020266212],"about_ca_topic_score_codex":0.0005210293,"about_ca_topic_score_gemma":0.00022510128,"teacher_disagreement_score":0.9121387,"about_ca_system_score_codex":0.00039887213,"about_ca_system_score_gemma":0.000539888,"threshold_uncertainty_score":0.72062665},"labels":[],"label_agreement":null},{"id":"W2743449340","doi":"10.1139/cgj-2016-0634","title":"Design of ballasted railway track foundations using numerical modelling. Part II: Applications","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tonnage; Track (disk drive); Field (mathematics); Relation (database); Design methods; Computer science; Engineering; Reliability engineering; Structural engineering; Mechanical engineering; Data mining; Geology; Mathematics","score_opus":0.035813148058775744,"score_gpt":0.24075606647155132,"score_spread":0.20494291841277557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743449340","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037024827,0.00012816697,0.9950977,0.0001506303,0.00026062859,0.00016491381,0.00003533355,0.00009691443,0.00036325975],"genre_scores_gemma":[0.9617816,0.00009660761,0.03771784,0.000019086607,0.00024504523,0.000015048049,0.000007909168,0.00004954186,0.00006731698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890035,0.000016983917,0.0003845934,0.00013498386,0.00015825864,0.0004048082],"domain_scores_gemma":[0.99870074,0.000043250307,0.000097175514,0.00047526768,0.000104573446,0.0005789836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002495028,0.000159222,0.00022486181,0.00018798248,0.00072977424,0.00013705793,0.000491534,0.00018305524,0.000061729086],"category_scores_gemma":[0.00005725617,0.0001738033,0.000096166674,0.00012306379,0.00008989568,0.00017979267,0.000022392733,0.0005155406,0.000011439443],"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":[0.0000017703888,0.000009490962,0.000010007559,0.000008975711,0.000030658695,0.0000084195535,0.000018743294,0.99640906,0.00024433216,0.00041846404,0.00031504084,0.0025250309],"study_design_scores_gemma":[0.00015533029,0.000023810306,0.000057807218,0.000042978452,0.000030326364,0.00013255549,0.0000066977705,0.98264164,0.000047886173,0.00051517144,0.016164146,0.00018166783],"about_ca_topic_score_codex":0.000733739,"about_ca_topic_score_gemma":0.00016592452,"teacher_disagreement_score":0.9580791,"about_ca_system_score_codex":0.00027311777,"about_ca_system_score_gemma":0.00030339643,"threshold_uncertainty_score":0.7087493},"labels":[],"label_agreement":null},{"id":"W2754557803","doi":"10.1016/j.proeng.2017.09.482","title":"Estimation of track modulus over long distances using artificial neural networks","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial neural network; Track (disk drive); Estimation; Computer science; Artificial intelligence; Engineering","score_opus":0.010862797280501338,"score_gpt":0.22361331709791596,"score_spread":0.2127505198174146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754557803","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":[0.51923877,0.00028878334,0.47914836,0.0000031634577,0.0009022666,0.000075829215,0.0000070511987,0.0002635224,0.000072264666],"genre_scores_gemma":[0.99416643,0.000024652016,0.0054211956,0.0000013172079,0.00028933957,0.000010928531,0.000009573626,0.000070189184,0.000006357373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903035,0.000002344807,0.000302562,0.00016746743,0.0001616827,0.0003356177],"domain_scores_gemma":[0.99945515,0.000026654341,0.00007163531,0.00033309413,0.000027893399,0.000085589585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009694048,0.00022580294,0.000247191,0.000093575596,0.00009460738,0.00011120144,0.00023991997,0.00010735042,0.0000047221633],"category_scores_gemma":[0.00009779288,0.0002533327,0.00007273812,0.0000943336,0.000031091822,0.00043734917,0.000031074513,0.00020941657,0.0000011936964],"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":[0.0000041871804,0.0000073191745,0.0005480211,0.0002401048,0.00002345662,0.0000046634373,0.00006342307,0.98405355,0.0014131541,0.00042352822,0.0000048896163,0.013213696],"study_design_scores_gemma":[0.00011839934,0.000010445302,0.008366712,0.000085053725,0.000022827555,0.0000078565645,0.0000051286033,0.9893106,0.0017578991,0.00005046365,0.000008911066,0.00025569517],"about_ca_topic_score_codex":0.00000959418,"about_ca_topic_score_gemma":0.00000672417,"teacher_disagreement_score":0.4749277,"about_ca_system_score_codex":0.00006359258,"about_ca_system_score_gemma":0.00000820115,"threshold_uncertainty_score":0.9999919},"labels":[],"label_agreement":null},{"id":"W2755620287","doi":"10.1139/cgj-2017-0196","title":"Behaviour of saturated railway track foundation materials during undrained cyclic loading","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Engineering and Physical Sciences Research Council","keywords":"Void ratio; Geotechnical engineering; Pore water pressure; Cyclic stress; Materials science; Void (composites); Foundation (evidence); Effective stress; Geology; Composite material","score_opus":0.009376817979429177,"score_gpt":0.21743419457048777,"score_spread":0.20805737659105858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755620287","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":[0.995024,0.000054511016,0.0031537453,0.00016700641,0.0009369399,0.00009769779,0.00004441983,0.000137881,0.0003837853],"genre_scores_gemma":[0.9990882,0.000057790134,0.00043785994,0.000009176188,0.00023217559,0.0000034422285,0.000015617357,0.000050362738,0.00010537567],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99882066,0.000016778047,0.00042783795,0.00012932974,0.00015327019,0.0004521082],"domain_scores_gemma":[0.9989277,0.000018097851,0.00012914967,0.0003886891,0.000070706345,0.00046562517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002711457,0.00017970822,0.00026863924,0.00025869405,0.00037532163,0.00029992286,0.00043429874,0.00021922556,0.00014223634],"category_scores_gemma":[0.00017550774,0.00019066836,0.000084682215,0.00007960523,0.00006822919,0.00029168994,0.000020153497,0.00044289298,0.000022404514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032809414,0.000023400862,0.0013426899,0.00017650363,0.00016772572,0.00046417923,0.00017432049,0.32602963,0.6627221,0.00077240175,0.0005692878,0.007524948],"study_design_scores_gemma":[0.0041860933,0.00022125094,0.62619454,0.0013361672,0.00027789647,0.003315557,0.00015433558,0.17470711,0.18079272,0.0015169168,0.0048189764,0.0024784359],"about_ca_topic_score_codex":0.0017711389,"about_ca_topic_score_gemma":0.0015612793,"teacher_disagreement_score":0.6248518,"about_ca_system_score_codex":0.00037193115,"about_ca_system_score_gemma":0.00011217964,"threshold_uncertainty_score":0.777523},"labels":[],"label_agreement":null},{"id":"W2757244700","doi":"","title":"Subway train-induced noise and vibration in buildings: predictions and measurements","year":2017,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Rowan Williams Davies & Irwin (Canada)","funders":"","keywords":"Vibration; Noise (video); Structural engineering; Engineering; Acoustics; Computer science; Physics","score_opus":0.01754799868678717,"score_gpt":0.20589985092775537,"score_spread":0.1883518522409682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757244700","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":[0.98321307,0.00009166555,0.014245058,0.00012591788,0.00041038744,0.00010439271,0.000058282116,0.00006920723,0.0016819941],"genre_scores_gemma":[0.998761,0.000056752964,0.0010317664,0.000022829347,0.00006421532,0.0000061553355,0.000006256071,0.000021308404,0.00002974653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995482,0.000003142001,0.000096191456,0.000098920245,0.000058308196,0.00019524992],"domain_scores_gemma":[0.9995628,0.000009946579,0.000013093594,0.00016545954,0.000018219125,0.00023050497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008188328,0.0000914828,0.000082040424,0.00010220632,0.0001394735,0.00011033114,0.00006910251,0.00008366189,0.000002276946],"category_scores_gemma":[0.00009710138,0.00011135198,0.000007764389,0.000035153338,0.00002390095,0.00011910393,0.000006889132,0.00011477224,0.0000011488512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054972975,0.00001771299,0.043900922,0.0003015125,0.00009631559,0.000068162306,0.0017682544,0.67628413,0.247218,0.0008229105,0.0023428628,0.027173731],"study_design_scores_gemma":[0.00023791713,0.000011783978,0.34519848,0.000036575257,0.000014546879,0.0000070469787,0.000041287578,0.65396,0.00008401396,0.000052730986,0.00021123505,0.0001444221],"about_ca_topic_score_codex":0.0026032855,"about_ca_topic_score_gemma":0.018201066,"teacher_disagreement_score":0.30129755,"about_ca_system_score_codex":0.0001330957,"about_ca_system_score_gemma":0.000046609934,"threshold_uncertainty_score":0.9997142},"labels":[],"label_agreement":null},{"id":"W2763203657","doi":"10.3846/bjrbe.2017.25","title":"PREDICTION OF LIFESPAN OF RAILWAY BALLAST AGGREGATE ACCORDING TO MECHANICAL PROPERTIES OF IT","year":2017,"lang":"en","type":"article","venue":"The Baltic Journal of Road and Bridge Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ballast; Abrasion (mechanical); Aggregate (composite); Tonnage; Ride quality; Environmental science; Engineering; Geotechnical engineering; Structural engineering; Geology; Materials science; Composite material; Mechanical engineering","score_opus":0.021183239988047213,"score_gpt":0.2069611088457047,"score_spread":0.18577786885765749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763203657","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":[0.96703047,0.0008070689,0.03130597,0.00008639724,0.00058553985,0.000088243396,0.000015404918,0.00002526653,0.00005564963],"genre_scores_gemma":[0.99860406,0.00036942554,0.0008255605,0.0000027423953,0.00015575592,0.0000015076797,3.4347897e-7,0.000028207001,0.000012406594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892527,0.000010905066,0.0005787292,0.00007379881,0.00022586634,0.0001854575],"domain_scores_gemma":[0.9992465,0.00004516425,0.00022849705,0.0002705411,0.000111771806,0.00009754173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050830573,0.00015542092,0.00041725216,0.00012797616,0.00004587604,0.000026352489,0.00034137914,0.000061026603,0.0000012098832],"category_scores_gemma":[0.00029305555,0.000114901595,0.000106186795,0.00007942032,0.00004023212,0.00017231083,0.00007035342,0.0002143949,4.0227596e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004321063,0.0000170544,0.00036666341,0.0005170965,0.00017614286,0.0000035818452,0.00050838164,0.64840865,0.34501636,0.00013357228,0.000037610134,0.00477165],"study_design_scores_gemma":[0.00079116464,0.00029304388,0.024996467,0.0025187773,0.00013817784,0.00016642026,0.00022393666,0.8302871,0.14020175,0.000015881893,0.00015217984,0.00021512293],"about_ca_topic_score_codex":0.000016239295,"about_ca_topic_score_gemma":0.0000016578421,"teacher_disagreement_score":0.20481461,"about_ca_system_score_codex":0.00002547569,"about_ca_system_score_gemma":0.00002072647,"threshold_uncertainty_score":0.46855512},"labels":[],"label_agreement":null},{"id":"W2765513165","doi":"10.1155/2017/3192967","title":"Turnout Fault Diagnosis through Dynamic Time Warping and Signal Normalization","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"State Key Laboratory of Rail Traffic Control and Safety; Beijing Jiaotong University; National Natural Science Foundation of China","keywords":"Turnout; Dynamic time warping; Normalization (sociology); Microcomputer; Fault (geology); Computer science; Similarity (geometry); Medical diagnosis; Image warping; Data mining; Artificial intelligence; Telecommunications; Medicine","score_opus":0.004544930960011549,"score_gpt":0.22062183131789034,"score_spread":0.2160769003578788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765513165","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":[0.816241,0.00057476555,0.1825665,0.00005881996,0.00032713107,0.000056886212,0.000016085709,0.000050437204,0.00010833182],"genre_scores_gemma":[0.98559237,0.001401759,0.012872183,0.0000067756696,0.00005932705,0.0000030885956,0.000022254333,0.000025640828,0.000016586007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993605,0.0000042413685,0.00030656828,0.00006882463,0.00014123112,0.000118625125],"domain_scores_gemma":[0.99957234,0.00002689191,0.00017162904,0.000101245416,0.000079217934,0.000048691567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000719993,0.00011254197,0.0001701959,0.00005918089,0.00010030764,0.00004928024,0.00009628317,0.000057230503,0.0000087615035],"category_scores_gemma":[0.000017213933,0.00011138603,0.0000540664,0.00003804555,0.000021637936,0.0009928396,0.0000012986621,0.0001398455,0.00000185933],"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":[0.000015453335,0.000008837762,0.0013794805,0.00007013338,0.000032410255,0.000015620331,0.0008373415,0.9804133,0.0062016416,0.000067297406,0.000010572234,0.010947902],"study_design_scores_gemma":[0.0030035952,0.00031230293,0.41882515,0.0009357635,0.00024796784,0.00007318984,0.00040679288,0.5639377,0.0066332975,0.0016849204,0.00318842,0.0007508497],"about_ca_topic_score_codex":0.0000025245076,"about_ca_topic_score_gemma":0.000018018438,"teacher_disagreement_score":0.41744566,"about_ca_system_score_codex":0.00003791809,"about_ca_system_score_gemma":0.000008570168,"threshold_uncertainty_score":0.45421904},"labels":[],"label_agreement":null},{"id":"W2765635713","doi":"10.1007/s13349-017-0248-1","title":"Quantifying live bending moments in rail using train-mounted vertical track deflection measurements and track modulus estimations","year":2017,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Deflection (physics); Track (disk drive); Bending moment; Bending stiffness; Standard deviation; Structural engineering; Bending; Finite element method; Stiffness; Engineering; Mathematics; Physics; Mechanical engineering; Statistics; Classical mechanics","score_opus":0.10035053016396626,"score_gpt":0.372101676048526,"score_spread":0.27175114588455973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765635713","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":[0.9905727,0.00074376736,0.0055149286,0.000054193104,0.0029109938,0.00012007534,0.0000032777778,0.00004687899,0.00003317424],"genre_scores_gemma":[0.9938418,0.00016465895,0.005564055,0.0000029736889,0.00038496795,0.0000017245884,8.034677e-7,0.000036736576,0.000002229499],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983079,0.000037010293,0.00070276123,0.0001432955,0.00037577248,0.00043329273],"domain_scores_gemma":[0.9992619,0.000046532707,0.00021413976,0.00015880752,0.000089511275,0.00022912213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048284023,0.00021024958,0.00038377222,0.00026723705,0.00043307967,0.00018702024,0.00017092472,0.00009641246,0.0000025026095],"category_scores_gemma":[0.00015700205,0.00021213392,0.000067952176,0.00010494405,0.000032012624,0.0007922795,0.000021785821,0.0005245482,4.071123e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050266524,0.000014845467,0.082523786,0.00038826407,0.00007911551,0.00001945477,0.0017879497,0.8838535,0.011256738,0.000015315767,0.000005709113,0.020005083],"study_design_scores_gemma":[0.00079687295,0.0000790671,0.3105087,0.000715615,0.000020944484,0.00013030291,0.00022642981,0.68642414,0.0008240766,0.00009962812,0.0000031208092,0.00017112395],"about_ca_topic_score_codex":0.00011732208,"about_ca_topic_score_gemma":0.00015121896,"teacher_disagreement_score":0.22798492,"about_ca_system_score_codex":0.00074396614,"about_ca_system_score_gemma":0.000059641545,"threshold_uncertainty_score":0.86505705},"labels":[],"label_agreement":null},{"id":"W2766408141","doi":"10.1115/detc2017-68340","title":"Nonlinear Modal Analysis of a One-Dimensional Bar Undergoing Unilateral Contact via the Time-Domain Boundary Element Method","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","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":"McGill University","funders":"","keywords":"Mathematical analysis; Finite element method; Piecewise linear function; Heaviside step function; Nonlinear system; Method of fundamental solutions; Boundary element method; Mathematics; Boundary value problem; Boundary (topology); Time domain; Spurious relationship; Piecewise; Boundary knot method; Physics; Computer science","score_opus":0.010076620981867066,"score_gpt":0.24971400566767374,"score_spread":0.23963738468580667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766408141","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14037055,0.00032414898,0.8538828,0.00020759195,0.0006445964,0.00039778883,0.00034305247,0.00040291806,0.0034265923],"genre_scores_gemma":[0.72098565,0.00010591731,0.27596354,0.000074999385,0.00030857476,0.000052091422,0.0011311271,0.00018234855,0.001195785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791354,0.00008766592,0.0006646447,0.00043126583,0.00048234613,0.00042052596],"domain_scores_gemma":[0.99802274,0.00029194725,0.00018461753,0.0012812676,0.00009948072,0.00011997768],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080809277,0.00049046025,0.00097362866,0.00038537238,0.00016192754,0.00015370958,0.00066040887,0.00032699003,0.0002477909],"category_scores_gemma":[0.000031551106,0.00040033966,0.0005979075,0.00017653682,0.00005451728,0.00007683437,0.00044716994,0.0007611122,0.000021939348],"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":[0.000016570206,0.000038415244,0.000110728084,0.0001602113,0.005208961,0.000007971716,0.00015035787,0.9903415,0.0027603623,0.00041328144,0.00013009275,0.0006615476],"study_design_scores_gemma":[0.0002890906,0.000032727523,0.0010804051,0.000111496636,0.0011675403,0.0000038722187,0.0000116960155,0.99453115,0.0004526101,0.0013277692,0.00055578345,0.00043583705],"about_ca_topic_score_codex":0.00023215181,"about_ca_topic_score_gemma":0.00017361194,"teacher_disagreement_score":0.5806151,"about_ca_system_score_codex":0.00023767512,"about_ca_system_score_gemma":0.0001576125,"threshold_uncertainty_score":0.99984485},"labels":[],"label_agreement":null},{"id":"W2767470252","doi":"10.1177/0954409717738444","title":"Estimation of vertical bending stress in rails using train-mounted vertical track deflection measurement systems","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"","keywords":"Deflection (physics); Structural engineering; Vertical deflection; Track (disk drive); Finite element method; Bending; Modulus; Engineering; Mechanical engineering; Mathematics; Geometry","score_opus":0.023803649244042265,"score_gpt":0.2364869201042251,"score_spread":0.21268327086018282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767470252","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":[0.91821533,0.00041454314,0.08027947,0.000068608,0.0007831399,0.0001462265,0.000007598569,0.000018126964,0.000066934525],"genre_scores_gemma":[0.9987816,0.0001637188,0.0009769297,0.0000011688107,0.000059215374,0.0000018420794,3.8848944e-7,0.000014487105,6.4536846e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839216,0.00000970025,0.000806627,0.00010257184,0.0005048041,0.00018415916],"domain_scores_gemma":[0.99936944,0.00003443641,0.00016129533,0.00009121482,0.00025043503,0.000093148476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008496031,0.00016479734,0.00045614727,0.00018799544,0.00007449318,0.000030740695,0.00023241609,0.00016078117,0.0000013806471],"category_scores_gemma":[0.0003407231,0.00013170943,0.00014901544,0.00014461216,0.00011700602,0.00037631986,0.0000144287405,0.0003291841,6.4533054e-8],"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":[0.00010518872,0.000067476714,0.000081247286,0.0007903501,0.000113098744,0.0000011740325,0.0002404164,0.78017074,0.21239905,0.004808555,0.000005131032,0.0012175442],"study_design_scores_gemma":[0.0010744904,0.00013107725,0.0008395251,0.0016553302,0.00013935172,0.000050252063,0.00014146157,0.839353,0.15638798,0.00009663103,0.00001112732,0.000119749166],"about_ca_topic_score_codex":0.000010667645,"about_ca_topic_score_gemma":0.0000025251602,"teacher_disagreement_score":0.08056625,"about_ca_system_score_codex":0.00011091928,"about_ca_system_score_gemma":0.000043903896,"threshold_uncertainty_score":0.5370955},"labels":[],"label_agreement":null},{"id":"W2767962380","doi":"10.1016/j.soildyn.2017.10.021","title":"2.5D coupled FEM-SBFEM analysis of ground vibrations induced by train movement","year":2017,"lang":"en","type":"article","venue":"Soil Dynamics and Earthquake Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Finite element method; Vibration; Ground vibrations; Bounded function; Frequency domain; Boundary value problem; Mathematical analysis; Structural engineering; Engineering; Mathematics; Acoustics; Physics","score_opus":0.007993724391904492,"score_gpt":0.19650806010126512,"score_spread":0.18851433570936063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767962380","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":[0.88701975,0.0001680617,0.11153688,0.0000454983,0.0003233498,0.0001023404,0.00019404775,0.00021579527,0.00039428443],"genre_scores_gemma":[0.998551,0.00016532076,0.00085743365,0.000010462983,0.00004115319,0.00001781182,0.0001862975,0.00006141154,0.0001090782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880517,0.000005760273,0.0003803068,0.00024388607,0.00020024648,0.00036462236],"domain_scores_gemma":[0.999073,0.00005264408,0.000077701596,0.0005540504,0.0000507979,0.000191754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018892722,0.0002937671,0.00045675298,0.0003129454,0.000166892,0.00017956393,0.00023843629,0.0001507868,0.000013541938],"category_scores_gemma":[0.00006854567,0.0003356236,0.00013443005,0.00033357542,0.00003687348,0.00022286332,0.000049197384,0.00023338279,0.0000016300071],"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":[0.000002443113,0.000018445193,0.0009235777,0.00008463165,0.0006868603,0.0000024578897,0.00017156871,0.9811407,0.009927123,0.0033104876,0.000011827167,0.0037198793],"study_design_scores_gemma":[0.0002701141,0.000027195512,0.10866302,0.000026665433,0.00019101686,8.58629e-7,0.000045082987,0.890284,0.000120697565,0.000029955409,0.000035224486,0.0003061838],"about_ca_topic_score_codex":0.00019583305,"about_ca_topic_score_gemma":0.00039618567,"teacher_disagreement_score":0.11153129,"about_ca_system_score_codex":0.000068741654,"about_ca_system_score_gemma":0.00001650681,"threshold_uncertainty_score":0.9999096},"labels":[],"label_agreement":null},{"id":"W2780130185","doi":"10.1061/jtepbs.0000116","title":"Operational Vertical Bending Stresses in Rail: Real-Life Case Study","year":2017,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Research Council Canada; University of Alberta; Alberta Innovates - Technology Futures; Natural Sciences and Engineering Research Council of Canada; University of Nebraska-Lincoln","keywords":"Deflection (physics); Structural engineering; Finite element method; Track (disk drive); Strain gauge; Bending; Vertical deflection; Engineering; Mechanical engineering","score_opus":0.019244133035297782,"score_gpt":0.2535929582659122,"score_spread":0.23434882523061443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780130185","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":[0.9767905,0.00022305414,0.020448213,0.000015294547,0.0021878225,0.00017252094,0.000025169687,0.00008719364,0.000050249975],"genre_scores_gemma":[0.99924743,0.00006536492,0.00027364443,0.0000012377493,0.00032892652,0.000016654738,0.000008402394,0.000046727506,0.000011636311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848264,0.000014935376,0.00084973907,0.00011614403,0.00030935637,0.00022719092],"domain_scores_gemma":[0.99933314,0.00006900761,0.00009695759,0.00023524038,0.00009363187,0.00017203444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039061083,0.00019859355,0.00038398115,0.00025308665,0.00008630419,0.00016692876,0.00019920494,0.000085119544,0.0000056717577],"category_scores_gemma":[0.00007194826,0.00019949983,0.000082997474,0.00009250099,0.000012068855,0.00049263396,0.0000030070196,0.00030010342,0.0000018594911],"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":[0.000008961124,0.00005302622,0.034370117,0.00015082558,0.00009562928,0.0021151383,0.0008907118,0.96163327,0.0003306594,0.0002618417,0.00005507563,0.000034761044],"study_design_scores_gemma":[0.0015787652,0.00013450411,0.14133988,0.00042389517,0.00007987345,0.000572073,0.0016479989,0.85324603,0.00007417736,0.0000012026775,0.0005331916,0.00036841296],"about_ca_topic_score_codex":0.00013994605,"about_ca_topic_score_gemma":0.00017110047,"teacher_disagreement_score":0.108387224,"about_ca_system_score_codex":0.000093186485,"about_ca_system_score_gemma":0.000041777206,"threshold_uncertainty_score":0.8135367},"labels":[],"label_agreement":null},{"id":"W2781405137","doi":"10.3390/s17122955","title":"Anti-Runaway Prevention System with Wireless Sensors for Intelligent Track Skates at Railway Stations","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Track (disk drive); Real-time computing; Wireless; Engineering; Global Positioning System; Simulation; Management system; Computer security; Computer science; Embedded system; Automotive engineering; Transport engineering; Telecommunications; Operations management","score_opus":0.01259268986350682,"score_gpt":0.2324921179770997,"score_spread":0.2198994281135929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781405137","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":[0.95937675,0.000053381333,0.03727765,0.000031420353,0.00054761086,0.0004525907,0.00010225221,0.0006007528,0.0015575825],"genre_scores_gemma":[0.9948525,0.000047825655,0.0023122223,0.0000019393476,0.00010568533,0.000046138575,0.000059447535,0.00009511547,0.0024791649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897724,0.000014690495,0.0002579929,0.00024156943,0.0001571892,0.0003513214],"domain_scores_gemma":[0.99913955,0.000073401825,0.00008796345,0.00050946185,0.00008091919,0.00010869373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013305956,0.00024342262,0.00027844319,0.0000925353,0.00033813668,0.00011737571,0.0001748529,0.000104336286,0.000006608848],"category_scores_gemma":[0.000027006963,0.00022263147,0.00010155787,0.00005875394,0.000053500164,0.00012527179,0.000019128116,0.0001159707,0.000037089405],"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":[0.000021382692,0.000018632501,0.00060509285,0.0004728167,0.00012284007,0.000010961716,0.0005312743,0.99355227,0.0014482082,0.0013303068,0.0001836296,0.0017026109],"study_design_scores_gemma":[0.00054370746,0.00008301463,0.0043622525,0.00026263882,0.000066240296,0.00003595914,0.00070923485,0.9818926,0.009486051,0.000021025724,0.0021189917,0.00041828348],"about_ca_topic_score_codex":0.000018929004,"about_ca_topic_score_gemma":0.00008628093,"teacher_disagreement_score":0.0354757,"about_ca_system_score_codex":0.00017381497,"about_ca_system_score_gemma":0.000014240879,"threshold_uncertainty_score":0.9078648},"labels":[],"label_agreement":null},{"id":"W2791871829","doi":"10.1016/j.jsv.2018.02.050","title":"Analytical model for vibration prediction of two parallel tunnels in a full-space","year":2018,"lang":"en","type":"article","venue":"Journal of Sound and Vibration","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Vibration; Ground vibrations; Plane (geometry); Range (aeronautics); Boundary (topology); Space (punctuation); Half-space; Boundary value problem; Structural engineering; Ground plane; Geometry; Acoustics; Geology; Engineering; Physics; Computer science; Mathematics; Mathematical analysis; Telecommunications; Antenna (radio); Aerospace engineering","score_opus":0.018058534023324926,"score_gpt":0.24847060801440124,"score_spread":0.23041207399107633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791871829","genre_codex":"methods","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":[0.39538866,0.0000360164,0.604362,0.000033241988,0.000088249326,0.000039064395,0.0000058198157,0.0000090899875,0.000037847658],"genre_scores_gemma":[0.9823467,0.000039379254,0.017363282,0.0000065808686,0.00021625175,0.0000014272057,0.0000053123836,0.000009390237,0.000011639183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949753,0.000005969086,0.00028564828,0.000047694317,0.00008606414,0.00007706489],"domain_scores_gemma":[0.9997502,0.000028891543,0.00006396774,0.000042238025,0.000078930585,0.00003576863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017449305,0.00006310311,0.00012540452,0.00012771213,0.00002004953,0.000023302824,0.000028571738,0.000051904106,0.0000016316296],"category_scores_gemma":[0.000027283018,0.00005831612,0.000034804354,0.00008248553,0.000019293033,0.00031386147,0.000003232316,0.00007084152,2.2406358e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053779357,0.000015411564,0.00046897802,0.000043598142,0.000016956841,2.4102016e-7,0.00047039508,0.98179835,0.013793287,0.0028886783,0.00007283094,0.00037748952],"study_design_scores_gemma":[0.0006334119,0.00019198169,0.0013268515,0.000034595105,0.00001709874,0.000010326186,0.00004075245,0.9921099,0.0003875155,0.0051898304,0.000011218425,0.000046543104],"about_ca_topic_score_codex":8.604554e-7,"about_ca_topic_score_gemma":0.000010041393,"teacher_disagreement_score":0.5869987,"about_ca_system_score_codex":0.000028519615,"about_ca_system_score_gemma":0.000014372085,"threshold_uncertainty_score":0.23780623},"labels":[],"label_agreement":null},{"id":"W2792043566","doi":"10.1109/lcsys.2018.2849831","title":"Stability and Well-Posedness of a Nonlinear Railway Track Model","year":2018,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":13,"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":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Lyapunov function; Nonlinear system; Stability (learning theory); Track (disk drive); Control theory (sociology); Exponential stability; Differential equation; Partial differential equation","score_opus":0.00812385339200522,"score_gpt":0.19099996672808434,"score_spread":0.18287611333607912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792043566","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":[0.7262438,0.0001777003,0.2717893,0.00006222099,0.0009110952,0.00023528206,0.00007194344,0.00021403341,0.0002946537],"genre_scores_gemma":[0.9990875,0.0000072007297,0.00042739284,0.00007053469,0.00031106075,0.000021989512,0.0000029070304,0.000046065023,0.000025342864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989491,0.000029873729,0.00036985957,0.00020309692,0.00016364345,0.00028443735],"domain_scores_gemma":[0.9993863,0.00007562409,0.00004768949,0.00032902003,0.00006265354,0.000098693585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026558552,0.00020323551,0.00038643237,0.00007458052,0.000034218956,0.00003249985,0.00013206698,0.000098274555,0.000003241137],"category_scores_gemma":[0.000014843487,0.00019757339,0.00006387997,0.00009418797,0.000110684974,0.00010333103,0.000006301268,0.00013167073,0.000012115394],"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":[0.000022861384,0.00001276845,0.00024026772,0.00032825978,0.00007070184,0.00000260875,0.00038405196,0.7444099,0.25389132,0.000041082512,0.00047884995,0.00011729997],"study_design_scores_gemma":[0.0008881102,0.000031429223,0.00012391,0.000054287495,0.000026329708,0.000007724045,0.000030825147,0.99613154,0.0021836075,0.0000033725103,0.0003199113,0.0001989348],"about_ca_topic_score_codex":0.00003518046,"about_ca_topic_score_gemma":0.000009642158,"teacher_disagreement_score":0.27284375,"about_ca_system_score_codex":0.000052086718,"about_ca_system_score_gemma":0.000011418058,"threshold_uncertainty_score":0.80568093},"labels":[],"label_agreement":null},{"id":"W2794365659","doi":"10.1177/0954409717753817","title":"The spatial correlation between track roughness and ground-penetrating radar inferred ballast degradation","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ballast; Ground-penetrating radar; Track (disk drive); Radar; Degradation (telecommunications); Remote sensing; Surface finish; Clutter; Geology; Surface roughness; Geotechnical engineering; Engineering; Electronic engineering; Materials science; Aerospace engineering","score_opus":0.00912551166664692,"score_gpt":0.19604906316609105,"score_spread":0.18692355149944415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794365659","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":[0.8858746,0.0005040298,0.11225704,0.00021832198,0.00082301785,0.00013119927,0.000009835695,0.000033372333,0.0001485743],"genre_scores_gemma":[0.9978829,0.0004546699,0.0013819954,0.0000040728037,0.00025163256,0.0000013601074,0.0000017530218,0.000013947655,0.000007646198],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988782,0.000007998131,0.00058251835,0.00009121874,0.00028855287,0.00015152057],"domain_scores_gemma":[0.9993306,0.00009181338,0.0002032695,0.000055763518,0.00023941346,0.00007915431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057741563,0.00015339666,0.0002629039,0.00008052945,0.00015088113,0.000038586048,0.00014651366,0.00011929444,0.0000016704678],"category_scores_gemma":[0.000109281515,0.00010208115,0.00008942342,0.00019001626,0.000169643,0.0003184382,0.00001508229,0.00027858952,1.8005449e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001105549,0.00024711277,0.004532187,0.0031283675,0.0021440587,0.0000051909233,0.006225085,0.20544395,0.38458478,0.09892879,0.00062587496,0.29302907],"study_design_scores_gemma":[0.006287615,0.0018504668,0.048387237,0.0025708398,0.0009872697,0.00051063776,0.0014876927,0.825358,0.10323005,0.0026981279,0.005576884,0.001055225],"about_ca_topic_score_codex":0.000006862566,"about_ca_topic_score_gemma":0.0000055094533,"teacher_disagreement_score":0.619914,"about_ca_system_score_codex":0.000028680144,"about_ca_system_score_gemma":0.000026025758,"threshold_uncertainty_score":0.41627482},"labels":[],"label_agreement":null},{"id":"W2795119659","doi":"10.1139/cgj-2017-0594","title":"Field performance of a peat railway subgrade reinforced with helical screw piles","year":2018,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pile; Geotechnical engineering; Ballast; Subgrade; Piezometer; Geosynthetics; Strain gauge; Track (disk drive); Engineering; Geology; Structural engineering; Groundwater","score_opus":0.005329573727421197,"score_gpt":0.18083453755596723,"score_spread":0.17550496382854602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795119659","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":[0.9351662,0.00021087528,0.06032575,0.00043754774,0.00037377473,0.0001245288,0.000018815528,0.0002222951,0.0031202144],"genre_scores_gemma":[0.99754566,0.000094698764,0.0017329036,0.00013245417,0.00030261025,0.0000031060545,0.0000033836752,0.00003426866,0.00015088852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989569,0.000008229184,0.00028064707,0.00010592024,0.00018300604,0.0004652984],"domain_scores_gemma":[0.9990269,0.00003877965,0.00003322277,0.00023509878,0.00008876823,0.0005772276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015210219,0.00016134366,0.00020998484,0.00022115452,0.00010573077,0.000039554237,0.00027344743,0.00017550742,0.0001184987],"category_scores_gemma":[0.00005498175,0.00013813734,0.000066343484,0.00024505155,0.000109085784,0.00011056754,0.000012185334,0.0005848025,0.000021990638],"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":[0.00018881413,0.000014071133,0.0014397822,0.0002026058,0.00019206651,0.00022500797,0.000240545,0.9541054,0.0034484044,0.0020628646,0.014229034,0.023651453],"study_design_scores_gemma":[0.00057663943,0.0012860211,0.0030973298,0.0003472237,0.000033125143,0.0012626327,0.000026497723,0.96550304,0.0048092133,0.00003360825,0.022560526,0.0004641238],"about_ca_topic_score_codex":0.00061604526,"about_ca_topic_score_gemma":0.0012849653,"teacher_disagreement_score":0.062379487,"about_ca_system_score_codex":0.0001390717,"about_ca_system_score_gemma":0.00017416987,"threshold_uncertainty_score":0.56330776},"labels":[],"label_agreement":null},{"id":"W2796232731","doi":"10.11159/icgre18.155","title":"Investigation into Some Design Aspects of Ballasted Railway TrackFoundations using Numerical Modelling","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Computer science; Engineering; Civil engineering; Construction engineering; Transport engineering; Mechanical engineering","score_opus":0.01262217080130388,"score_gpt":0.19251150089184926,"score_spread":0.1798893300905454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796232731","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":[0.98202133,0.00012255041,0.016741538,0.000018177576,0.0006012368,0.00020587316,0.000013510707,0.000121742196,0.00015403156],"genre_scores_gemma":[0.98757505,0.00003376559,0.012186589,0.000007993527,0.00009366006,0.0000070075357,0.000004110669,0.000055870267,0.000035928533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896187,0.000004228732,0.0003384066,0.00021431429,0.00023717312,0.00024400144],"domain_scores_gemma":[0.99962115,0.000047359015,0.0000991931,0.00011887037,0.000019752792,0.00009369232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009133376,0.00026882772,0.00026524282,0.00018663086,0.00011094729,0.00003878533,0.00020670534,0.00007032016,0.000011573669],"category_scores_gemma":[0.00001764626,0.00023902205,0.00006480196,0.00024959477,0.0001758967,0.00032216293,0.000059572136,0.00020331687,8.037833e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000101169435,0.0000039386314,0.00023437195,0.00011870943,0.000049674014,1.6378758e-7,0.00022804947,0.8839265,0.11172535,0.003502401,0.000012467684,0.00018824909],"study_design_scores_gemma":[0.0002076663,0.000042878113,0.0009413244,0.00019215229,0.00003415677,0.000007671854,0.000051536477,0.90118647,0.09625783,0.00082736433,0.000029924347,0.00022102748],"about_ca_topic_score_codex":0.000010173015,"about_ca_topic_score_gemma":0.0000022690563,"teacher_disagreement_score":0.01725996,"about_ca_system_score_codex":0.00011684719,"about_ca_system_score_gemma":0.000006749019,"threshold_uncertainty_score":0.9747036},"labels":[],"label_agreement":null},{"id":"W2797092537","doi":"10.1139/cgj-2017-0163","title":"Use of fiber optic sensing to measure distributed rail strains and determine rail seat forces under a moving train","year":2018,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Vanguard College; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deflection (physics); Strain gauge; Structural engineering; Vibration; Optical fiber; Load cell; Engineering; Accelerometer; Track (disk drive); Geotechnical engineering; Computer science; Acoustics; Mechanical engineering; Telecommunications; Optics","score_opus":0.019461614847841636,"score_gpt":0.20672246458069954,"score_spread":0.1872608497328579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797092537","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":[0.8001214,0.00010453931,0.198652,0.00038512127,0.00021001413,0.00013721685,0.00018470884,0.0001315438,0.00007344315],"genre_scores_gemma":[0.9904172,0.000011491526,0.00917638,0.000078286546,0.00018093426,0.000001055787,0.000008619301,0.000049508257,0.00007652682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987699,0.000022448037,0.00033028465,0.00016123582,0.00018011313,0.0005360684],"domain_scores_gemma":[0.99865127,0.000069958514,0.000034620032,0.00020051924,0.000117384974,0.0009262385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024089174,0.00020613514,0.00026541692,0.0002670782,0.00013064491,0.00013349096,0.00013775966,0.00018915687,0.000033165372],"category_scores_gemma":[0.00021824382,0.00020820694,0.00007630052,0.00026859093,0.0001022306,0.0001558644,0.000021397324,0.0004245182,0.0000051342404],"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":[0.000011134719,0.0000060828397,0.000025894205,0.000044889857,0.00009757541,0.0001669233,0.00018794573,0.9524291,0.010437718,0.000117416304,0.0010266309,0.03544867],"study_design_scores_gemma":[0.0003741137,0.00013543203,0.0038833753,0.00029538624,0.000053306725,0.001149254,0.00007607713,0.9879168,0.00048573597,0.00012479589,0.005074588,0.00043113084],"about_ca_topic_score_codex":0.0008552918,"about_ca_topic_score_gemma":0.004980528,"teacher_disagreement_score":0.19029577,"about_ca_system_score_codex":0.00027745604,"about_ca_system_score_gemma":0.000121651974,"threshold_uncertainty_score":0.84904325},"labels":[],"label_agreement":null},{"id":"W2799970624","doi":"10.1139/tcsme-2015-0001","title":"INFLUENCES OF TRAIN SPEED AND AXLE LOADS ON LIFE CYCLE OF RAIL FASTENING CLIPS","year":2015,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Axle; Track (disk drive); CLIPS; Structural engineering; Automotive engineering; Mechanism (biology); Engineering; Axle load; Computer science; Mechanical engineering; Artificial intelligence","score_opus":0.014392197664223156,"score_gpt":0.20054077789319263,"score_spread":0.1861485802289695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799970624","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":[0.7309872,0.00035243662,0.2666125,0.00015156239,0.00067016145,0.00040308296,0.00043522328,0.00014803723,0.00023980066],"genre_scores_gemma":[0.9921185,0.000014013225,0.007768267,0.0000142459085,0.00002282019,0.0000073838455,0.000002362737,0.000033887518,0.000018569803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992199,0.0000049344026,0.0002928032,0.00010564509,0.00014865979,0.00022807464],"domain_scores_gemma":[0.9993632,0.0000942823,0.00003629168,0.00019169434,0.000053594867,0.00026098138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002234405,0.00013913645,0.0002733385,0.00007005232,0.00004217242,0.000007458784,0.00017347616,0.00013860271,0.0000038656376],"category_scores_gemma":[0.00006896446,0.0001319938,0.0002652211,0.00022822473,0.000044316766,0.000063689404,0.000003890251,0.00018417848,1.9821252e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049414575,0.0000068365434,0.0000052457603,0.00019506631,0.000116326155,7.561019e-8,0.00037135568,0.9908189,0.0067982143,0.0009849214,0.0000342037,0.0006639051],"study_design_scores_gemma":[0.00047751702,0.00007790805,0.00010803365,0.0001113034,0.00006573119,0.0000019747383,0.0002875632,0.9871181,0.011221077,0.00014233858,0.00023623373,0.00015218975],"about_ca_topic_score_codex":0.0011852932,"about_ca_topic_score_gemma":0.0012510807,"teacher_disagreement_score":0.26113126,"about_ca_system_score_codex":0.00011027709,"about_ca_system_score_gemma":0.00010310111,"threshold_uncertainty_score":0.53825516},"labels":[],"label_agreement":null},{"id":"W2800233110","doi":"10.1139/tcsme-2000-0014","title":"INDUCED VIBRATION OF BRIDGES TRAVERSED BY MOVING VEHICLES","year":2000,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Toronto","funders":"","keywords":"Deflection (physics); Vibration; Critical speed; Beam (structure); Structural engineering; Moving load; Bridge (graph theory); Boundary value problem; Euler's formula; Engineering; Physics; Mathematics; Finite element method; Classical mechanics; Acoustics; Mathematical analysis","score_opus":0.006372505256049926,"score_gpt":0.1739705541341336,"score_spread":0.16759804887808366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800233110","genre_codex":"methods","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":[0.46703172,0.00012728239,0.53106946,0.0001569837,0.00043165695,0.00035729606,0.00050840504,0.00022330605,0.000093904026],"genre_scores_gemma":[0.99519354,0.000031772208,0.0045835855,0.00001770695,0.000021198795,0.000020955244,0.000010847499,0.00004389324,0.00007652009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992986,0.0000035931346,0.00023814605,0.00010168326,0.00011397954,0.00024401194],"domain_scores_gemma":[0.9995887,0.000050578226,0.00001790253,0.00019231657,0.000025996429,0.00012446087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009556536,0.00013478714,0.00017595917,0.000039242237,0.0000825939,0.000011585034,0.00018422601,0.00015976572,0.000042238007],"category_scores_gemma":[0.000008099584,0.00013811859,0.0003513971,0.00018792183,0.000016662521,0.000086868065,0.0000012773941,0.00018430708,7.973226e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019963154,0.000006270998,6.7333167e-7,0.00011353012,0.000081943814,4.2689454e-8,0.00014277485,0.8768214,0.118396096,0.00028829943,0.000118979355,0.0040279734],"study_design_scores_gemma":[0.00023131535,0.000023331575,0.00004954829,0.000040062438,0.000044713408,0.0000015954347,0.000045412864,0.9021846,0.09633314,0.000026087635,0.0008794816,0.000140731],"about_ca_topic_score_codex":0.0021882216,"about_ca_topic_score_gemma":0.0016966044,"teacher_disagreement_score":0.5281618,"about_ca_system_score_codex":0.00017820018,"about_ca_system_score_gemma":0.000052392566,"threshold_uncertainty_score":0.5632312},"labels":[],"label_agreement":null},{"id":"W2802049951","doi":"10.1155/2018/6340504","title":"Rail Degradation Prediction Models for Tram System: Melbourne Case Study","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Regression analysis; Mode (computer interface); Engineering; Degradation (telecommunications); Acceleration; Transport engineering; Simulation; Computer science; Statistics; Mathematics; Telecommunications","score_opus":0.011184765576946818,"score_gpt":0.2314354798612456,"score_spread":0.2202507142842988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802049951","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":[0.5357997,0.00005645186,0.46316,0.0000032386563,0.0006826049,0.00017597748,0.00002594492,0.00007894047,0.000017120516],"genre_scores_gemma":[0.9824206,0.00002166038,0.01717564,0.0000017009655,0.00029055215,0.000017208196,0.000024929526,0.000034108536,0.000013603543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990802,0.000009000435,0.0005259213,0.00008512135,0.00017152009,0.00012828207],"domain_scores_gemma":[0.9994066,0.000030942196,0.00013008126,0.000086123735,0.00028019497,0.00006605276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021602411,0.00011962167,0.00018718446,0.00014851437,0.00006595341,0.000017547709,0.000053486237,0.000054881097,0.000001177515],"category_scores_gemma":[0.0000073042324,0.00011630211,0.00007864183,0.00013796585,0.000010402954,0.00062263187,3.4046292e-7,0.000110100504,4.721985e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006666248,0.000045019555,0.00008943905,0.00011301346,0.00006642093,0.00007803131,0.0025525398,0.9890471,0.0014929938,0.00014072114,0.000020193183,0.006287833],"study_design_scores_gemma":[0.0030173576,0.0011612311,0.0035079601,0.00014295602,0.00026400617,0.00066307373,0.009631897,0.98003995,0.0009700905,0.00023770516,0.00015963701,0.00020413073],"about_ca_topic_score_codex":0.000005122726,"about_ca_topic_score_gemma":0.0000938956,"teacher_disagreement_score":0.44662088,"about_ca_system_score_codex":0.0000987504,"about_ca_system_score_gemma":0.000017680231,"threshold_uncertainty_score":0.47426623},"labels":[],"label_agreement":null},{"id":"W2802701080","doi":"10.1139/tcsme-2002-0017","title":"ON THE USE OF NUMERICAL OPTIMIZATION TO MAXIMIZE THE CRITICAL VELOCITY OF A SIMPLE RAIL VEHICLE","year":2002,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Critical ionization velocity; Inertia; Simple (philosophy); Suspension (topology); Critical speed; Control theory (sociology); Set (abstract data type); Genetic algorithm; Computer science; Mathematical optimization; Mathematics; Mechanics; Engineering; Physics; Mechanical engineering; Classical mechanics","score_opus":0.023882167596608977,"score_gpt":0.19834286669814466,"score_spread":0.1744606991015357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802701080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008281492,0.000029350644,0.9895113,0.0013100657,0.00023910096,0.00031279415,0.0002439761,0.0000577392,0.000014160752],"genre_scores_gemma":[0.9731559,0.000012070596,0.026592607,0.00011061751,0.000018814784,0.00004437925,0.0000020083871,0.000040649906,0.000022941858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916196,0.000011855566,0.0002766226,0.00010606643,0.00017566068,0.00026781167],"domain_scores_gemma":[0.99874747,0.00066387607,0.000022549983,0.00036130592,0.00007106968,0.00013374984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014929597,0.0001375977,0.00019621644,0.000037698417,0.00013088553,0.000015741847,0.00029334408,0.000114023744,0.000056538716],"category_scores_gemma":[0.00025605844,0.000095826916,0.0003969449,0.00040543624,0.000047776884,0.00005536545,0.0000064936994,0.00025554898,7.594324e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027684523,0.000013744538,3.3699348e-7,0.0000632028,0.00007071911,4.980041e-8,0.00021129049,0.99285525,0.0007905614,0.0050274446,0.00053323,0.00043142703],"study_design_scores_gemma":[0.00012510664,0.00004032288,0.0000136148055,0.000035780777,0.00005097189,0.0000013449478,0.000033610337,0.9961507,0.0024227267,0.00007838177,0.00094847335,0.00009896437],"about_ca_topic_score_codex":0.0008339997,"about_ca_topic_score_gemma":0.0003979509,"teacher_disagreement_score":0.96487445,"about_ca_system_score_codex":0.00014533271,"about_ca_system_score_gemma":0.000025761989,"threshold_uncertainty_score":0.39077082},"labels":[],"label_agreement":null},{"id":"W2803105932","doi":"10.1155/2018/3096190","title":"Fuzzy Approach in Rail Track Degradation Prediction","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Adaptive neuro fuzzy inference system; Computer science; Inference; Transport engineering; Key (lock); Term (time); Work (physics); Fuzzy logic; Reliability engineering; Engineering; Operations research; Fuzzy control system; Artificial intelligence","score_opus":0.0064613943294796975,"score_gpt":0.20415926210896074,"score_spread":0.19769786777948103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803105932","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":[0.85229075,0.00012356772,0.14627297,0.000009232084,0.00058845687,0.00005952239,0.000009487391,0.00005937276,0.0005866456],"genre_scores_gemma":[0.97583574,0.0001341628,0.023770658,0.0000039610454,0.00017750624,0.0000027373878,0.000041819447,0.000019107089,0.000014300704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99928194,0.0000063433245,0.0003915695,0.00006356708,0.00014873387,0.00010786701],"domain_scores_gemma":[0.9997282,0.000012621627,0.00007286641,0.000059493075,0.000085831445,0.000040986957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012854603,0.000086200394,0.00012730704,0.00017930225,0.000016118103,0.000008478349,0.000053673102,0.00005879853,0.0000027932272],"category_scores_gemma":[0.000007455199,0.00008678458,0.000044814344,0.00022551336,0.000014246124,0.00045559093,2.5477843e-7,0.00016098953,0.0000015984895],"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":[0.000037018268,0.000024144318,0.0013641951,0.000041053365,0.000011991384,0.0000032384144,0.00091774244,0.9795356,0.007668441,0.00015940108,0.000027840964,0.010209372],"study_design_scores_gemma":[0.0025494616,0.0003777634,0.8305172,0.0001835955,0.000055521858,0.000036915393,0.0007580623,0.15877298,0.004084588,0.0012526,0.0011151944,0.00029618494],"about_ca_topic_score_codex":9.689305e-7,"about_ca_topic_score_gemma":0.000018356213,"teacher_disagreement_score":0.82915294,"about_ca_system_score_codex":0.000065207096,"about_ca_system_score_gemma":0.0000118946,"threshold_uncertainty_score":0.35389724},"labels":[],"label_agreement":null},{"id":"W2804085763","doi":"10.1007/978-3-319-73411-8_57","title":"Friction Management as a Sustainable Solution for Controlling Noise at the Wheel-Rail Interface","year":2018,"lang":"en","type":"book-chapter","venue":"Notes on numerical fluid mechanics and multidisciplinary design","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"L.B. Foster Rail Technologies (Canada)","funders":"","keywords":"Noise (video); Noise control; Interface (matter); Implementation; Engineering; Automotive engineering; Computer science; Simulation; Noise reduction","score_opus":0.01502783280356932,"score_gpt":0.23198152655589152,"score_spread":0.2169536937523222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804085763","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016000327,0.001643677,0.9906188,0.00017070117,0.0007396989,0.0015978867,0.00006051619,0.0003549456,0.0046537253],"genre_scores_gemma":[0.36519992,0.010236496,0.07734541,0.00027646098,0.0018791376,0.0017223291,0.00051394,0.00158437,0.54124194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981692,0.00002188335,0.000410843,0.0005574699,0.00027496894,0.00056565576],"domain_scores_gemma":[0.9987618,0.00042079302,0.000088608,0.00045094147,0.00011822021,0.00015967806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042999716,0.0005995908,0.00048851356,0.00016021692,0.0004905373,0.000089938454,0.00021753965,0.00038965506,0.00005586356],"category_scores_gemma":[0.00004601607,0.0004823134,0.00020780813,0.000061055915,0.000033202,0.00008303718,0.00020144998,0.00034317738,0.0001040909],"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":[0.0011440205,0.00007830916,1.8007486e-7,0.00082672364,0.0006245453,0.00005108878,0.00068140007,0.84329134,0.0050136307,0.12906246,0.0048210896,0.014405192],"study_design_scores_gemma":[0.0007443907,0.00076799537,7.41541e-7,0.00020205596,0.00020604237,0.000013813618,0.000065717904,0.9556965,0.0005204419,0.017229993,0.024011122,0.00054115977],"about_ca_topic_score_codex":0.0000048110455,"about_ca_topic_score_gemma":0.0000017376204,"teacher_disagreement_score":0.91327345,"about_ca_system_score_codex":0.00045835704,"about_ca_system_score_gemma":0.000020433068,"threshold_uncertainty_score":0.99976283},"labels":[],"label_agreement":null},{"id":"W2805187087","doi":"10.1061/(asce)st.1943-541x.0002126","title":"Influence of Middle Member Thickness on Properties of Double-Shear Nail Joints","year":2018,"lang":"en","type":"article","venue":"Journal of Structural Engineering","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"FPInnovations; University of Alberta","funders":"","keywords":"Nail (fastener); Shear (geology); Materials science; Composite material; Structural engineering; Orthodontics; Geology; Engineering; Medicine; Metallurgy","score_opus":0.01759825556728612,"score_gpt":0.20695653602998232,"score_spread":0.1893582804626962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805187087","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":[0.99764264,0.00036724246,0.0010242602,0.000010448238,0.00067375554,0.0000627703,0.000005276854,0.00006148936,0.00015211906],"genre_scores_gemma":[0.99702907,0.00002887818,0.0026500204,0.0000040916984,0.00022291075,0.0000010480913,4.3788765e-7,0.00004416499,0.000019387071],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986931,0.0000061261276,0.0006372638,0.00008752689,0.00033884702,0.00023710934],"domain_scores_gemma":[0.9992387,0.000028620885,0.00015249947,0.00019553196,0.0002912243,0.00009340574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015991543,0.00021697416,0.00041935788,0.00025510215,0.000022201675,0.000015012102,0.00024801027,0.000103525796,0.000011164944],"category_scores_gemma":[0.00006710661,0.00017298509,0.00011700907,0.00023755043,0.000065666834,0.0002670162,0.000025720326,0.0003355951,0.0000026272546],"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":[0.000053413518,0.0000038919447,0.00009103435,0.00038010167,0.00007692475,0.0000037164589,0.00043176327,0.82334524,0.1751778,0.00020813271,0.000009145947,0.00021884024],"study_design_scores_gemma":[0.0012589125,0.0003716387,0.0134350965,0.0019151842,0.00005686642,0.0002721024,0.000082253915,0.42967713,0.55225885,0.000049748935,0.00019533419,0.00042689053],"about_ca_topic_score_codex":0.000008896617,"about_ca_topic_score_gemma":9.178429e-7,"teacher_disagreement_score":0.39366812,"about_ca_system_score_codex":0.000065782166,"about_ca_system_score_gemma":0.000024716493,"threshold_uncertainty_score":0.70541275},"labels":[],"label_agreement":null},{"id":"W2805617879","doi":"10.1002/cepa.797","title":"Development of condition‐based tamping process in railway engineering","year":2018,"lang":"en","type":"article","venue":"ce/papers","topic":"Railway Engineering and Dynamics","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":"BGC Engineering (Canada)","funders":"","keywords":"Ballast; Track (disk drive); Compaction; Levelling; Engineering; Process (computing); Stiffness; Geotechnical engineering; Marine engineering; Structural engineering; Geology; Mechanical engineering; Computer science; Electrical engineering; Geodesy","score_opus":0.006167502582582349,"score_gpt":0.20745932628252814,"score_spread":0.2012918236999458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805617879","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":[0.97400475,0.00006310043,0.011966132,0.0000072305156,0.00040316087,0.00012231214,0.000007029915,0.0003893585,0.013036956],"genre_scores_gemma":[0.98967594,0.000002931986,0.010133839,0.00001337435,0.000056242454,0.000026054568,0.000017271375,0.000044455745,0.000029914783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999119,0.0000032652842,0.00028273452,0.00014366655,0.00017518918,0.0002761861],"domain_scores_gemma":[0.9996858,0.000029789464,0.000023627965,0.00014837978,0.000046287638,0.000066083005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013749991,0.00016584911,0.00018162986,0.00021625792,0.000028955634,0.000011669572,0.00013261018,0.000081307975,0.00007306375],"category_scores_gemma":[0.000037506932,0.00018590748,0.00003370554,0.00031690687,0.000030841304,0.00006327624,0.000010601822,0.00012432528,0.00001690125],"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":[0.0000058275823,0.000018768593,0.00029488842,0.0004191608,0.00002950487,0.000003917538,0.0021776713,0.9106563,0.083491035,0.00015258761,0.000034287295,0.0027160703],"study_design_scores_gemma":[0.0009393699,0.000034660698,0.008144482,0.0005051227,0.000011849157,0.000004188529,0.00038369006,0.8663836,0.11066305,0.000012904609,0.012283728,0.00063331984],"about_ca_topic_score_codex":0.0000012931979,"about_ca_topic_score_gemma":0.000016282173,"teacher_disagreement_score":0.044272643,"about_ca_system_score_codex":0.00013560329,"about_ca_system_score_gemma":0.00006108433,"threshold_uncertainty_score":0.75810874},"labels":[],"label_agreement":null},{"id":"W2808270377","doi":"10.1115/jrc2018-6210","title":"Vibration-Based Defect Detection for Freight Railcar Tapered-Roller Bearings","year":2018,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":10,"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":"U.S. Department of Transportation","keywords":"Axle; Bearing (navigation); Detector; Spall; Vibration; Raceway; Automotive engineering; Engineering; Structural engineering; Computer science; Lubrication; Electrical engineering; Mechanical engineering; Acoustics; Artificial intelligence; Physics","score_opus":0.006071090523931987,"score_gpt":0.18805156522898786,"score_spread":0.18198047470505588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808270377","genre_codex":"methods","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":[0.09148853,0.000029786355,0.89966583,0.000025626849,0.0006337166,0.000190032,0.000008628427,0.0009456564,0.007012165],"genre_scores_gemma":[0.9857161,0.000002137317,0.013293596,0.00006589157,0.00034490394,0.000061294195,0.000014550531,0.00005320708,0.00044829227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994169,0.0000041858952,0.0001397158,0.00014468985,0.0000809717,0.00021352539],"domain_scores_gemma":[0.99962956,0.00006626659,0.000011515912,0.00017741203,0.00005648197,0.000058783018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000079705984,0.00013796914,0.0001118612,0.00009648687,0.00008348269,0.000042732023,0.00007382442,0.00009992377,0.00008681452],"category_scores_gemma":[0.00003282087,0.00013346024,0.000101510435,0.00013840468,0.000019647852,0.00009178611,0.000005620297,0.00007064527,0.00007002856],"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":[0.000058195328,0.000033109223,0.00029265622,0.00020603392,0.00015697637,0.0000011696345,0.00023027656,0.84486777,0.13067849,0.0015143951,0.00428283,0.017678086],"study_design_scores_gemma":[0.00040653298,0.00008852524,0.00044055557,0.000008133602,0.000014506141,0.0000011997754,0.0000065308445,0.9346232,0.05368513,0.00009520554,0.010448112,0.0001823779],"about_ca_topic_score_codex":0.000011005923,"about_ca_topic_score_gemma":0.000072288785,"teacher_disagreement_score":0.89422756,"about_ca_system_score_codex":0.000057419536,"about_ca_system_score_gemma":0.000010502798,"threshold_uncertainty_score":0.54423505},"labels":[],"label_agreement":null},{"id":"W2808431526","doi":"10.7939/r34747651","title":"Reliability of a North American Freight Railcar Air Brake Inspection Method Using Wheel Temperature Detectors","year":2018,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Automotive engineering; Reliability (semiconductor); Brake; Detector; Engineering; Aeronautics; Computer science; Electrical engineering; Physics; Power (physics)","score_opus":0.003418657210630241,"score_gpt":0.16622558240539145,"score_spread":0.1628069251947612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808431526","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":[0.989963,0.000016360904,0.0075482056,0.00002126053,0.00015696653,0.0000741676,0.000019722884,0.00022481813,0.0019755191],"genre_scores_gemma":[0.96262896,0.00002187097,0.03703044,0.000009509724,0.0000565252,5.524565e-8,0.000017883234,0.00002763951,0.00020714545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994011,0.000033176457,0.00013502271,0.00017665327,0.00009776805,0.00015631372],"domain_scores_gemma":[0.9994374,0.00009095042,0.00006165997,0.00029211838,0.000039009177,0.00007888361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000346093,0.00014218735,0.00025174758,0.0001644792,0.00006680709,0.0000055206287,0.00019622472,0.00006992517,0.000033287786],"category_scores_gemma":[0.000019402067,0.00016347558,0.0000972065,0.0005706706,0.00018496632,0.00045406545,0.00005539568,0.00016231286,0.0000032360092],"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":[0.0003108562,0.00018347328,0.28036174,0.0007135176,0.00044726912,0.000018005238,0.010803929,0.67372006,0.025314739,0.00044329805,0.0033057989,0.0043773092],"study_design_scores_gemma":[0.00056511414,0.00025878576,0.45244363,0.0000907788,0.00009750481,0.000009998587,0.00051609625,0.5188002,0.020604877,0.000037778133,0.006043479,0.0005317981],"about_ca_topic_score_codex":0.001109598,"about_ca_topic_score_gemma":0.0007912267,"teacher_disagreement_score":0.17208187,"about_ca_system_score_codex":0.000040160598,"about_ca_system_score_gemma":0.000035330853,"threshold_uncertainty_score":0.666634},"labels":[],"label_agreement":null},{"id":"W2808461472","doi":"10.1115/jrc2018-6245","title":"Tank Car Sloshing on Rail Transportation Safety Under Various Loading, Track and In-Train Force Conditions","year":2018,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Slosh dynamics; Derailment; Marshalling; Train; Engineering; Track (disk drive); Tonnage; Marine engineering; Structural engineering; Automotive engineering; Vehicle dynamics; Computer science; Mechanical engineering; Geology","score_opus":0.006175059884026084,"score_gpt":0.20963914553885152,"score_spread":0.20346408565482543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808461472","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":[0.8391126,0.000048259728,0.14544332,0.0000624201,0.00024771178,0.00012632846,0.000057295085,0.00040723837,0.014494832],"genre_scores_gemma":[0.99812305,0.000030651427,0.0010911714,0.00007102568,0.00006046653,0.000006795274,0.000059103644,0.000033300425,0.00052444264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937,0.000006443001,0.0001875824,0.00014746876,0.00008226039,0.00020625099],"domain_scores_gemma":[0.9997369,0.000057251,0.000011487572,0.00011228107,0.000016026417,0.00006601987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085894084,0.0001361673,0.00012590358,0.000108368746,0.000055145505,0.000026308897,0.00004969134,0.00009326433,0.00008226578],"category_scores_gemma":[0.000008017016,0.0001433299,0.000027349442,0.00013460523,0.000032690663,0.00012579828,0.0000015900642,0.00015249485,0.000016425613],"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":[0.000018991046,0.00002361992,0.00042034427,0.000069418566,0.000041949508,0.000011508577,0.0021580623,0.9623031,0.008291886,0.02480204,0.00032308756,0.0015359715],"study_design_scores_gemma":[0.0012863553,0.0001324813,0.0913119,0.00013061234,0.00003282726,0.000014625577,0.00051436573,0.8997868,0.001656942,0.002673279,0.001864525,0.00059531827],"about_ca_topic_score_codex":0.00003083361,"about_ca_topic_score_gemma":0.0008965929,"teacher_disagreement_score":0.15901046,"about_ca_system_score_codex":0.000071665345,"about_ca_system_score_gemma":0.000008077566,"threshold_uncertainty_score":0.5844824},"labels":[],"label_agreement":null},{"id":"W2808857317","doi":"10.1049/cp.2018.0050","title":"Low Adhesion Braking Dynamic Optimisation for Rolling Stock (LABRADOR) Simulation Model","year":2018,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Train; Braking system; Brake; MATLAB; Computer science; Disc brake; Automotive engineering; Vehicle dynamics; Engineering; Simulation; Control engineering","score_opus":0.013455512721207605,"score_gpt":0.2467556070137289,"score_spread":0.2333000942925213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808857317","genre_codex":"methods","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":[0.2354696,0.000022758384,0.7627303,0.000008829466,0.0002507645,0.00018764295,0.000007233612,0.000655186,0.0006677092],"genre_scores_gemma":[0.92728674,0.000006191518,0.07214644,0.000017407521,0.000118642194,0.000018831855,0.000039827806,0.00006214771,0.00030373977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927545,0.0000037089192,0.00020882458,0.00016722268,0.0001099286,0.00023487132],"domain_scores_gemma":[0.9996039,0.00007081818,0.000023902941,0.0001766973,0.00007304148,0.000051602776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108529945,0.00015378426,0.00012201748,0.000106642336,0.000090551024,0.000043792203,0.00008288639,0.00011069758,0.000010812235],"category_scores_gemma":[0.00003104201,0.00016254753,0.00005645838,0.00011088188,0.000011632643,0.00021401579,0.000010736271,0.000074103664,0.000014740937],"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":[0.0000095761725,0.0000064767114,0.000006890116,0.000054737433,0.000012085627,9.1413106e-8,0.00015922947,0.97873586,0.008059325,0.00017766588,0.000028533905,0.012749531],"study_design_scores_gemma":[0.00028355053,0.00004175076,0.000062237996,0.000037388945,0.00001361374,6.286382e-7,0.000011387581,0.9966405,0.0023051265,0.0003458814,0.00005147543,0.00020644804],"about_ca_topic_score_codex":0.0000022560707,"about_ca_topic_score_gemma":0.000011847466,"teacher_disagreement_score":0.69181716,"about_ca_system_score_codex":0.0001201261,"about_ca_system_score_gemma":0.000011165804,"threshold_uncertainty_score":0.6628496},"labels":[],"label_agreement":null},{"id":"W2884528516","doi":"10.1080/00423114.2018.1494842","title":"A study of polygonal wheel wear through a field test programme","year":2018,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fundamental Research Funds for the Central Universities","keywords":"Axle; Acceleration; Engineering; Structural engineering; Automotive engineering; Magnitude (astronomy); Physics","score_opus":0.00940080649979403,"score_gpt":0.21281791016570234,"score_spread":0.20341710366590832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884528516","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":[0.9677537,0.00006884234,0.024909627,0.00001979114,0.0006570413,0.00044462277,0.000048279857,0.0008754693,0.005222611],"genre_scores_gemma":[0.99810344,0.0000040751315,0.0014517842,0.0000075432204,0.00019227173,0.000039904546,0.000008580761,0.00006784804,0.00012456927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986811,0.000020060563,0.00041489277,0.00021835211,0.00026297203,0.00040258496],"domain_scores_gemma":[0.999204,0.00011330298,0.000056228422,0.00045100632,0.00009088714,0.000084582854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015607428,0.00022454807,0.00031517656,0.000087553315,0.00006527586,0.000038530696,0.00025390237,0.00013591793,0.0000054379484],"category_scores_gemma":[0.000044389846,0.00022395728,0.000069767186,0.00038170282,0.00003831578,0.00010878984,0.000048864644,0.00018619097,0.00003778622],"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":[0.00037167777,0.00698332,0.36089477,0.011238483,0.0031193683,0.000575717,0.060348213,0.39812255,0.018472236,0.049852684,0.002998694,0.08702228],"study_design_scores_gemma":[0.00067140936,0.00093715405,0.0018933445,0.00013467329,0.000035610683,0.000033508517,0.0042719063,0.99125355,0.00032376483,0.000022221813,0.00015265777,0.00027019955],"about_ca_topic_score_codex":0.00019953842,"about_ca_topic_score_gemma":0.00040552564,"teacher_disagreement_score":0.593131,"about_ca_system_score_codex":0.00016762054,"about_ca_system_score_gemma":0.000021525351,"threshold_uncertainty_score":0.91327125},"labels":[],"label_agreement":null},{"id":"W2886613520","doi":"10.1108/jqme-04-2016-0017","title":"Remaining useful life estimation of metropolitan train wheels considering measurement error","year":2018,"lang":"en","type":"article","venue":"Journal of Quality in Maintenance Engineering","topic":"Railway Engineering and Dynamics","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":"University of Toronto","funders":"","keywords":"Metropolitan area; Engineering; Prognostics; Estimation; Reliability engineering; Profiling (computer programming); Computer science","score_opus":0.048002414383236415,"score_gpt":0.28431863625900083,"score_spread":0.23631622187576443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886613520","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":[0.51400864,0.00039468583,0.4843088,0.000092587805,0.0007902048,0.000082803745,0.000008029675,0.00009159987,0.00022262249],"genre_scores_gemma":[0.95782787,0.000040215138,0.041860506,0.000021778236,0.0001865718,0.0000035314572,9.895008e-7,0.000054080858,0.0000044556778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973259,0.000053484277,0.001440107,0.00014088793,0.0005870014,0.00045264701],"domain_scores_gemma":[0.99875575,0.00018350226,0.00027954334,0.00025954278,0.00034407387,0.0001775823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031789748,0.0002634199,0.00065418886,0.00051073416,0.000026032547,0.00002866918,0.00024388384,0.00011680207,0.000010495547],"category_scores_gemma":[0.0024633575,0.00026655084,0.00016157192,0.00043942416,0.00006492121,0.00031834026,0.000023166522,0.00045993182,0.0000022601564],"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":[0.000023501247,0.000022904283,0.000399115,0.00036200343,0.0000971605,0.000012965423,0.001138581,0.9830813,0.011947125,0.0020805395,0.0000981845,0.0007366368],"study_design_scores_gemma":[0.0009555562,0.00015319508,0.010891035,0.0013479682,0.000029741952,0.00006199043,0.0011257193,0.9793335,0.005047444,0.00040364044,0.00026074206,0.00038942887],"about_ca_topic_score_codex":0.00002244549,"about_ca_topic_score_gemma":0.000027474698,"teacher_disagreement_score":0.44381922,"about_ca_system_score_codex":0.00076842896,"about_ca_system_score_gemma":0.000082358885,"threshold_uncertainty_score":0.99997866},"labels":[],"label_agreement":null},{"id":"W2886703328","doi":"10.1016/j.ijfatigue.2018.08.015","title":"Effect of plastic accumulation on the nucleation of cracks in railroad rails due to bidirectional loaded traffic","year":2018,"lang":"en","type":"article","venue":"International Journal of Fatigue","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidade Estadual de Campinas; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Vale Canada Limited","keywords":"Nucleation; Materials science; Composite material; Forensic engineering; Structural engineering; Geotechnical engineering; Engineering; Chemistry","score_opus":0.01770116080414549,"score_gpt":0.28633246281818436,"score_spread":0.2686313020140389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886703328","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":[0.9766426,0.000018136445,0.021471098,0.0001028642,0.0013347021,0.0000800929,0.000011388181,0.00001560638,0.0003234891],"genre_scores_gemma":[0.9994551,0.0000055489104,0.00025161527,0.000010847541,0.00024766958,0.0000025811134,0.0000036912545,0.000014110996,0.000008823229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990036,0.000043824002,0.00043383247,0.00006015583,0.00037711082,0.00008151251],"domain_scores_gemma":[0.99887365,0.0006488874,0.00013830714,0.00007240689,0.00023362444,0.000033097505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040308552,0.000097271964,0.00017488578,0.00039176946,0.000011894911,0.000014657056,0.00021114231,0.000051819166,0.000045740107],"category_scores_gemma":[0.0004954553,0.000073845484,0.00008969853,0.00018482252,0.000028279845,0.0001082267,0.000009865591,0.00014660756,0.00000715337],"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":[0.00023849728,0.000028867633,0.00066322094,0.000018783629,0.00009150346,0.0000037199025,0.00035894226,0.97419566,0.014317525,0.00024369553,0.00020243718,0.009637137],"study_design_scores_gemma":[0.0020184868,0.0014463289,0.08416859,0.0010235358,0.00003974574,0.000059377282,0.00007208503,0.8101827,0.10031575,0.000111025205,0.00033388296,0.00022849264],"about_ca_topic_score_codex":0.000005927215,"about_ca_topic_score_gemma":0.0000054121806,"teacher_disagreement_score":0.16401297,"about_ca_system_score_codex":0.000083275125,"about_ca_system_score_gemma":0.000018465927,"threshold_uncertainty_score":0.30113313},"labels":[],"label_agreement":null},{"id":"W2888989298","doi":"","title":"Line tower of Voest tram at Grouse Mountain, Canada","year":2007,"lang":"en","type":"article","venue":"Digital Collections of Colorado (Colorado State University)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Tower; Environmental science; Archaeology","score_opus":0.003693060931150261,"score_gpt":0.14848045954060166,"score_spread":0.1447873986094514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888989298","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":[0.9433889,0.00004653322,0.017015874,0.000020923144,0.00040836813,0.00025575064,0.00069932506,0.00024199094,0.03792234],"genre_scores_gemma":[0.98358935,0.000052978612,0.00023904335,0.000005721922,0.00001621253,7.5372367e-7,0.00004678598,0.000037590005,0.016011545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.998866,0.000007977162,0.00033821282,0.00018687654,0.00023375188,0.00036715914],"domain_scores_gemma":[0.9991252,0.00014727442,0.000087339395,0.00024975193,0.00021510308,0.00017535269],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000076099335,0.00022255426,0.00032822826,0.0006400173,0.00014619791,0.00002835214,0.0002436173,0.000098750184,0.000028324974],"category_scores_gemma":[0.000036491518,0.0002772246,0.00009945571,0.002029206,0.0001027497,0.00031360317,0.00006379748,0.00016707146,0.0000021745932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056206033,0.00025763444,0.0020701298,0.00020128528,0.00041139178,0.00024432837,0.0006386642,0.9803243,0.0016163563,0.001108455,0.011492453,0.0010729183],"study_design_scores_gemma":[0.008605783,0.0031863705,0.011079595,0.000284525,0.00042634227,0.0001642858,0.009225802,0.21777542,0.03295842,0.00050534256,0.71213114,0.0036569892],"about_ca_topic_score_codex":0.008039564,"about_ca_topic_score_gemma":0.24307786,"teacher_disagreement_score":0.7625489,"about_ca_system_score_codex":0.0010446525,"about_ca_system_score_gemma":0.00022782311,"threshold_uncertainty_score":0.999968},"labels":[],"label_agreement":null},{"id":"W2889070012","doi":"","title":"A Case Study Of Using Advanced Measurement Technologies To Inspect Railway Track Condition","year":2018,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Computer science; Engineering; Transport engineering","score_opus":0.027473130839758476,"score_gpt":0.25353997931646466,"score_spread":0.2260668484767062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889070012","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":[0.9782748,0.00002242541,0.019602457,0.000009269028,0.00021384566,0.00027085256,0.0000071600216,0.0006840849,0.0009150691],"genre_scores_gemma":[0.9927978,0.000002195297,0.007118205,0.0000025230447,0.000028797467,0.000020405616,6.2687553e-7,0.00002464897,0.000004822763],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999339,0.000007596473,0.0001793195,0.00012917885,0.00017983033,0.00016508496],"domain_scores_gemma":[0.9995959,0.000010748849,0.00001991066,0.0002449528,0.000096303804,0.000032202537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118218566,0.00011650919,0.00015359085,0.00014880147,0.000042239346,0.000010309329,0.000085856256,0.000048588747,0.00001092825],"category_scores_gemma":[0.000053281918,0.00011887511,0.000022240127,0.00025423593,0.000025430318,0.000063853695,0.000021228887,0.000085371095,0.000007311916],"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":[0.000021724505,0.0001800535,0.00023396192,0.000097710756,0.00010008149,0.0002623188,0.003531533,0.3270561,0.62810975,0.00014217151,0.00018370841,0.040080853],"study_design_scores_gemma":[0.0022620803,0.0017099526,0.00057970115,0.00021460165,0.0001018236,0.0007347533,0.015591666,0.82538337,0.15126923,0.0007196192,0.00059845124,0.0008347555],"about_ca_topic_score_codex":0.000011345721,"about_ca_topic_score_gemma":0.000086160275,"teacher_disagreement_score":0.49832726,"about_ca_system_score_codex":0.00011577422,"about_ca_system_score_gemma":0.000008700884,"threshold_uncertainty_score":0.48475862},"labels":[],"label_agreement":null},{"id":"W2891099412","doi":"10.1177/0954409718800579","title":"Modelling and simulation of the train brake system in low adhesion conditions","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Automotive engineering; Brake; Train; Braking system; MATLAB; Engineering; Computer science; Simulation","score_opus":0.009897585628327396,"score_gpt":0.19635946319742856,"score_spread":0.18646187756910115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891099412","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":[0.92409515,0.00028873532,0.074909575,0.00006401651,0.00038165672,0.000121426,0.000015346484,0.000017478884,0.00010659577],"genre_scores_gemma":[0.99907637,0.00012654942,0.0007227707,0.0000037541463,0.000056653687,0.0000011217682,3.2160594e-7,0.000009944893,0.0000025082747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990772,0.0000062623835,0.0005269468,0.000071020564,0.00021219211,0.00010635472],"domain_scores_gemma":[0.99953043,0.00004535688,0.00015305541,0.00005271014,0.00017137876,0.00004705292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038881466,0.00011301156,0.0002698321,0.0001221921,0.000046105397,0.000007187887,0.00013293301,0.00010165047,0.0000014614101],"category_scores_gemma":[0.000043926557,0.00007546471,0.000102764556,0.00023339465,0.00012296277,0.00016580922,0.00001147391,0.00019942799,6.7999984e-8],"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":[0.000034059147,0.000018306851,0.000022912935,0.0005329953,0.000035974204,1.9229518e-7,0.00038769236,0.9723719,0.021863967,0.004434928,0.0000060218313,0.00029106005],"study_design_scores_gemma":[0.0006362252,0.00009177825,0.00019174833,0.0013127374,0.00005633173,0.00002931592,0.00017829341,0.9667082,0.030477636,0.00017921938,0.000063666885,0.00007484954],"about_ca_topic_score_codex":0.0000021547623,"about_ca_topic_score_gemma":8.072535e-7,"teacher_disagreement_score":0.074981205,"about_ca_system_score_codex":0.00002900201,"about_ca_system_score_gemma":0.000020307152,"threshold_uncertainty_score":0.3077362},"labels":[],"label_agreement":null},{"id":"W2895911560","doi":"10.1121/1.5068449","title":"Derivation of network-wide surface condition corrections for rail noise modelling","year":2018,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Computer science; Track (disk drive); Variable (mathematics); Acoustics; Mathematics; Physics","score_opus":0.00989098237965578,"score_gpt":0.2191251925026643,"score_spread":0.20923421012300852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895911560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067318894,0.00010834791,0.93164366,0.00025047612,0.00051158905,0.00008223784,0.000016739603,0.000019950712,0.000048106816],"genre_scores_gemma":[0.89666027,0.00024163615,0.10271744,0.00007708779,0.000255455,7.084972e-7,0.0000014319752,0.000018667139,0.000027325597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929154,0.00002249357,0.00032975143,0.000038290567,0.00016723838,0.00015069301],"domain_scores_gemma":[0.9988677,0.0005381349,0.00019034988,0.00014448643,0.00022391329,0.000035436322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030998714,0.000085822954,0.00019520191,0.000009014009,0.000105602914,0.0000059175704,0.00019731774,0.000053641834,0.000007249368],"category_scores_gemma":[0.00008448533,0.000055601617,0.00021808973,0.00019375421,0.00022308987,0.00005812749,0.000020262252,0.00018910828,6.4013756e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024647374,0.000015209132,0.00005005709,0.00004091203,0.00008944713,1.5806826e-8,0.00030375776,0.98316425,0.00780763,0.000007373612,0.007972563,0.0005241477],"study_design_scores_gemma":[0.00015866406,0.00011087181,0.00017080532,0.00007650834,0.00013092991,0.0000041696776,0.0002499269,0.99623454,0.0018114604,0.0005484666,0.00044517103,0.000058507667],"about_ca_topic_score_codex":0.000009529988,"about_ca_topic_score_gemma":3.69287e-7,"teacher_disagreement_score":0.82934135,"about_ca_system_score_codex":0.000046177403,"about_ca_system_score_gemma":0.000023534032,"threshold_uncertainty_score":0.22673681},"labels":[],"label_agreement":null},{"id":"W2906119240","doi":"","title":"Online predictive diagnosis of electrical train door systems","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Railway Engineering and Dynamics","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":"Bombardier (Canada)","funders":"","keywords":"Train; Probabilistic logic; Discriminative model; Computer science; Closing (real estate); Machine learning; Artificial intelligence; Binary classification; Segmentation; Support vector machine","score_opus":0.008887315817699061,"score_gpt":0.20201159063339588,"score_spread":0.19312427481569683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906119240","genre_codex":"methods","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":[0.35146475,0.011516303,0.613707,0.0030877446,0.0014252819,0.0012124224,0.0013581729,0.0007090973,0.015519243],"genre_scores_gemma":[0.916429,0.006027921,0.06532116,0.00001303408,0.00012358473,0.00040231505,0.0012799344,0.00018446654,0.010218611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99446195,0.0024824212,0.001102914,0.0007542096,0.0005463369,0.00065214274],"domain_scores_gemma":[0.99282426,0.0025989243,0.00044509448,0.0018837638,0.0018905024,0.00035744076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025855985,0.00061800086,0.00087649224,0.0003141325,0.00014249333,0.00022741438,0.0012251182,0.0007076429,0.00014190756],"category_scores_gemma":[0.0015187487,0.0007073251,0.00036854664,0.0006486651,0.0002464222,0.0001666049,0.00047182012,0.0012447686,0.00006828703],"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":[0.000023040948,0.003345333,0.006735393,0.0026694608,0.0010845229,0.000015735084,0.013978681,0.5288423,0.0035368418,0.36242253,0.004119541,0.07322663],"study_design_scores_gemma":[0.00050599297,0.0000018370027,0.009556571,0.0037289776,0.0001431525,0.00001661042,0.00012277125,0.96919256,0.005649608,0.00079459324,0.009667668,0.0006196299],"about_ca_topic_score_codex":0.0040224474,"about_ca_topic_score_gemma":0.00041260457,"teacher_disagreement_score":0.56496423,"about_ca_system_score_codex":0.00044526273,"about_ca_system_score_gemma":0.00021207765,"threshold_uncertainty_score":0.99953777},"labels":[],"label_agreement":null},{"id":"W2906905786","doi":"10.1155/2018/1752070","title":"A Novel Prediction Model for Car Body Vibration Acceleration Based on Correlation Analysis and Neural Networks","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Acceleration; Vibration; Artificial neural network; Computer science; Whole body vibration; Engineering; Simulation; Automotive engineering; Artificial intelligence; Acoustics; Physics","score_opus":0.006606669746056365,"score_gpt":0.21194749897392856,"score_spread":0.2053408292278722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906905786","genre_codex":"methods","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":[0.2905681,0.00001509521,0.7089397,0.000014100552,0.00029109264,0.000097590775,0.000029696781,0.000039867267,0.0000047885223],"genre_scores_gemma":[0.9680373,0.000019840687,0.03147676,0.000018785442,0.00017900203,0.000008219012,0.00023671903,0.000019400835,0.0000039479933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993161,0.0000044528397,0.00035699422,0.000090769965,0.00013611857,0.000095566575],"domain_scores_gemma":[0.99953616,0.00003992178,0.00012675763,0.00006358706,0.00018607527,0.000047528425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010674724,0.00010569773,0.00015009975,0.00025873265,0.000057621066,0.00002392201,0.000030266145,0.0000771304,0.0000011838476],"category_scores_gemma":[0.0000120908435,0.00010731361,0.00008281264,0.00025790537,0.000011540585,0.00045832037,2.673417e-7,0.00010755817,5.6456372e-8],"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":[0.0001359906,0.000015420528,0.00068937446,0.00001771433,0.000056720808,2.2988284e-7,0.0002540094,0.9868904,0.010091717,0.00005976398,0.0000052009063,0.0017834966],"study_design_scores_gemma":[0.0007654103,0.00022879668,0.06950942,0.000019568504,0.00025263833,9.4999405e-7,0.000017128943,0.92875725,0.00032552873,0.00003692516,0.0000045254446,0.000081848724],"about_ca_topic_score_codex":7.895617e-7,"about_ca_topic_score_gemma":0.000032714146,"teacher_disagreement_score":0.6774692,"about_ca_system_score_codex":0.00004994968,"about_ca_system_score_gemma":0.0000100764455,"threshold_uncertainty_score":0.4376122},"labels":[],"label_agreement":null},{"id":"W2907073887","doi":"10.1007/s00707-018-2330-0","title":"Three-dimensional analytical model for the dynamic interaction of twin tunnels in a homogeneous half-space","year":2019,"lang":"en","type":"article","venue":"Acta Mechanica","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Ground vibrations; Vibration; Solid mechanics; Mechanics; Boundary value problem; Translation (biology); Interaction model; Plane (geometry); Space (punctuation); Half-space; Structural engineering; Physics; Acoustics; Geometry; Engineering; Computer science; Mathematics; Mathematical analysis","score_opus":0.01106692213213822,"score_gpt":0.2277355767374427,"score_spread":0.2166686546053045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907073887","genre_codex":"methods","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":[0.49351797,0.0001009491,0.50523937,0.00020952294,0.00041041346,0.00031789456,0.00002472209,0.000098224715,0.00008095472],"genre_scores_gemma":[0.9962396,0.000016759708,0.0035294634,0.000013558692,0.000015511358,0.000025963509,0.000010228327,0.000038015674,0.00011087897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993128,0.000004911149,0.00020452512,0.00015150914,0.000119574106,0.00020664265],"domain_scores_gemma":[0.999389,0.00022573447,0.000026819409,0.0002971419,0.000028785667,0.00003254388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014683107,0.00013115657,0.0001888853,0.00008741868,0.000015654103,0.000010759924,0.00016563275,0.000091224625,0.000015412234],"category_scores_gemma":[0.0000355166,0.00010876393,0.00009040298,0.00012840868,0.00000792807,0.0000684453,0.000031811887,0.00017167348,0.000009084578],"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":[0.00002717005,0.000018333209,0.000009642575,0.000039743514,0.000040989267,8.022502e-7,0.000049713675,0.9737854,0.02352214,0.0017842803,0.00008255621,0.0006392553],"study_design_scores_gemma":[0.0002725753,0.000038966176,0.00006280658,0.000039477196,0.000021286667,0.000008258129,0.000018134784,0.99780226,0.00070884504,0.000834719,0.00007223034,0.00012045622],"about_ca_topic_score_codex":0.000024855237,"about_ca_topic_score_gemma":0.00017870795,"teacher_disagreement_score":0.50272167,"about_ca_system_score_codex":0.000083375446,"about_ca_system_score_gemma":0.00002019875,"threshold_uncertainty_score":0.44352645},"labels":[],"label_agreement":null},{"id":"W2908315249","doi":"10.22068/ijrare.5.2.53","title":"A New Technique for Quality Assessment of Railway Ballast Materials","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ballast; Quality (philosophy); Engineering; Construction engineering; Reliability engineering; Electrical engineering; Physics","score_opus":0.16617455329595704,"score_gpt":0.526140854805355,"score_spread":0.35996630150939796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908315249","genre_codex":"methods","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":[0.29537874,0.0013039606,0.69506454,0.000037580852,0.0016245972,0.0011149426,0.0003290919,0.00020200347,0.004944522],"genre_scores_gemma":[0.9712469,0.0009278105,0.026932146,0.000025651776,0.00038820252,0.00010921322,0.000022975288,0.00010434723,0.00024272814],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977704,0.000084168365,0.001083636,0.0002786114,0.0004044379,0.0003787422],"domain_scores_gemma":[0.9983218,0.00024096527,0.00040343174,0.00052655337,0.00028962045,0.0002176797],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016367186,0.000324709,0.0008897975,0.0004764754,0.000083755076,0.0004125919,0.001549023,0.00016574196,0.0026308484],"category_scores_gemma":[0.00017050891,0.00031606975,0.00017101024,0.00048735642,0.00007181596,0.000787511,0.0002797932,0.00019725574,0.0000041054577],"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":[0.000060758044,0.000057394132,0.0070580584,0.00043910992,0.00019960142,0.000001912889,0.00006376511,0.004039031,0.9708869,0.00066252146,0.013539413,0.002991578],"study_design_scores_gemma":[0.0009547879,0.000050593328,0.2061942,0.000787716,0.000094385425,0.000012676947,0.00003123213,0.0049296534,0.77181196,0.0054516015,0.008860554,0.0008206261],"about_ca_topic_score_codex":0.0003023542,"about_ca_topic_score_gemma":0.000032067455,"teacher_disagreement_score":0.67586815,"about_ca_system_score_codex":0.00012794991,"about_ca_system_score_gemma":0.00013465564,"threshold_uncertainty_score":0.99992913},"labels":[],"label_agreement":null},{"id":"W2910601281","doi":"10.1177/0954409718823650","title":"Investigation of coupled dynamics of a railway tank car and liquid cargo subject to a switch-passing maneuver","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Slosh dynamics; Engineering; Nonlinear system; Multibody system; Structural engineering; Suspension (topology); Vehicle dynamics; Mechanics; Control theory (sociology); Automotive engineering; Physics; Computer science; Classical mechanics","score_opus":0.006449527944627946,"score_gpt":0.1767628379531788,"score_spread":0.17031331000855085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910601281","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":[0.98341286,0.00045169826,0.015229465,0.00018899566,0.0004037506,0.00019482087,0.000021537104,0.000019990212,0.00007686301],"genre_scores_gemma":[0.99736196,0.00033699244,0.002225859,0.000008786997,0.000034270637,0.0000017699901,0.0000013171177,0.000020369229,0.000008666442],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986185,0.0000065426816,0.00074563536,0.00011849842,0.00034736184,0.00016349883],"domain_scores_gemma":[0.99916387,0.00005424744,0.00026043435,0.0000849309,0.0003085191,0.00012798714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051712233,0.00019032611,0.00056885206,0.0002362414,0.000026420803,0.000009115869,0.00018543699,0.00014701852,0.000003834721],"category_scores_gemma":[0.00008215255,0.00015067792,0.00015671203,0.0003358879,0.00010698593,0.00021187619,0.000022975197,0.0002585767,1.348046e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034666774,0.000026817339,0.00032647725,0.0019974376,0.000248784,9.494177e-7,0.0011885198,0.21787605,0.7694521,0.007977154,0.000026692742,0.0005323618],"study_design_scores_gemma":[0.0028497737,0.001327481,0.0012649437,0.0025637678,0.000391999,0.0001601661,0.00057511334,0.5974226,0.39250717,0.00033765944,0.00018512961,0.00041418726],"about_ca_topic_score_codex":0.000008310931,"about_ca_topic_score_gemma":0.0000026630826,"teacher_disagreement_score":0.37954658,"about_ca_system_score_codex":0.000048441325,"about_ca_system_score_gemma":0.000050663715,"threshold_uncertainty_score":0.61444676},"labels":[],"label_agreement":null},{"id":"W2910809683","doi":"10.1177/0954409718822870","title":"A new strain gauge configuration on the rail web to decouple the wheel–rail lateral contact force from wayside measurement","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Pacific Railway (Canada); University of Alberta","funders":"","keywords":"Strain gauge; Structural engineering; Wheatstone bridge; Contact force; Bending; Finite element method; Bending moment; Engineering; Torque; Bridge (graph theory); Electrical engineering; Physics; Voltage","score_opus":0.010898675628247395,"score_gpt":0.17941851588005064,"score_spread":0.16851984025180325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910809683","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":[0.9460999,0.0005692447,0.04626412,0.0041683856,0.0014549701,0.00060069637,0.00007622513,0.00006148736,0.0007049882],"genre_scores_gemma":[0.998874,0.00018891651,0.00062341784,0.00009857372,0.00014604234,0.000004775651,0.0000017721,0.00002090833,0.00004158622],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984447,0.000011345275,0.0005929288,0.00013390277,0.0006018578,0.00021528165],"domain_scores_gemma":[0.99923795,0.00009805839,0.00016740609,0.00013034357,0.00022876452,0.00013746727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008152144,0.00022943015,0.00037452715,0.00008900234,0.000074370786,0.000044097567,0.00037424863,0.00011294728,0.000043911135],"category_scores_gemma":[0.00012342483,0.00012663151,0.0002178577,0.000198669,0.000035790876,0.00019407515,0.000013556497,0.00042066223,0.000003171888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028303408,0.000039551145,0.0000235582,0.00015408742,0.00040287655,9.708414e-7,0.0010923123,0.17001103,0.78853554,0.03550187,0.001616636,0.0023385182],"study_design_scores_gemma":[0.007692623,0.0019650324,0.0023501075,0.0037106024,0.0007187234,0.00012367633,0.0014748222,0.5297329,0.42362213,0.0037012137,0.02382972,0.0010784395],"about_ca_topic_score_codex":0.000013676423,"about_ca_topic_score_gemma":0.00000859481,"teacher_disagreement_score":0.3649134,"about_ca_system_score_codex":0.00007190586,"about_ca_system_score_gemma":0.00007642496,"threshold_uncertainty_score":0.51638836},"labels":[],"label_agreement":null},{"id":"W2910890666","doi":"10.1051/matecconf/201925402014","title":"Design of a prototype frame of an electrically driven three-wheel vehicle","year":2019,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":12,"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":"Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR","keywords":"Frame (networking); Automotive engineering; Electric vehicle; Computer science; Engineering; Mechanical engineering; Power (physics)","score_opus":0.010043365257557797,"score_gpt":0.2020753412415916,"score_spread":0.1920319759840338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910890666","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":[0.96514755,0.00007805992,0.0313251,0.0000054084903,0.00007302541,0.00034916063,0.000010289198,0.00010603936,0.0029053346],"genre_scores_gemma":[0.99499786,0.000022530534,0.004916486,0.0000012966142,0.000007911307,0.000014635756,0.0000032607695,0.000016151167,0.000019857414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993297,0.000013942174,0.00025862025,0.00009577085,0.00015788272,0.00014410204],"domain_scores_gemma":[0.99955803,0.000052865227,0.000062713654,0.00020562929,0.00008572309,0.00003503851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104410195,0.00010722964,0.00028001788,0.000097991266,0.000005783791,0.000008267901,0.00021815642,0.00008953885,0.00008701213],"category_scores_gemma":[0.000013562574,0.00009752287,0.000033341606,0.00015437238,0.000034831355,0.00006744949,0.000012089862,0.00009286344,0.000008158301],"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":[0.000080839716,0.00007617454,0.012570101,0.000622648,0.00008807632,0.0000010239935,0.00017771185,0.515463,0.46001136,0.0068501504,0.000012144559,0.004046753],"study_design_scores_gemma":[0.00023492951,0.00054642983,0.008374761,0.000081202015,0.000011096489,7.752946e-7,0.000020259886,0.94728756,0.04247838,0.0007797297,0.00006364388,0.00012125558],"about_ca_topic_score_codex":0.000035260553,"about_ca_topic_score_gemma":0.000008295404,"teacher_disagreement_score":0.43182454,"about_ca_system_score_codex":0.000007973816,"about_ca_system_score_gemma":0.00012791793,"threshold_uncertainty_score":0.3976867},"labels":[],"label_agreement":null},{"id":"W2911308967","doi":"10.1016/j.euromechsol.2019.01.020","title":"Stability and vibrations of an overcritical speed moving multiple discrete oscillators along an infinite continuous structure","year":2019,"lang":"en","type":"article","venue":"European Journal of Mechanics - A/Solids","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Mathematical analysis; Mathematics; Beam (structure); Stability (learning theory); Vibration; Toeplitz matrix; Classical mechanics; Physics; Quantum mechanics","score_opus":0.007810476440098488,"score_gpt":0.20364513680007149,"score_spread":0.195834660359973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911308967","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":[0.9484401,0.0000874432,0.050392322,0.000010074224,0.0005849524,0.00009156281,0.0000945194,0.000068255205,0.00023077805],"genre_scores_gemma":[0.99262035,0.000026993288,0.0071018576,0.000013950777,0.00014826855,9.474168e-8,0.000011699947,0.0000725045,0.0000042719894],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857056,0.00015940538,0.00060117984,0.00016169238,0.00026263396,0.00024450241],"domain_scores_gemma":[0.99909395,0.000091841,0.00009936804,0.00032259012,0.00013395386,0.0002582829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006597795,0.00020825627,0.00036104265,0.000113466114,0.000043724332,0.00007610581,0.00022752033,0.000061512255,0.000034081546],"category_scores_gemma":[0.00017158028,0.00019644042,0.00008054198,0.00012876753,0.000025143443,0.00048361337,0.0000511534,0.00043517986,0.0000021198778],"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":[0.00010462673,0.000076592325,0.0061508724,0.0003030149,0.00017041713,0.000117005686,0.0025727241,0.48556322,0.49842182,0.004213631,0.000016582222,0.002289515],"study_design_scores_gemma":[0.0010244622,0.0006538824,0.0072853747,0.000110575565,0.000052151692,0.00015944535,0.0005539443,0.97982097,0.009544429,0.00034722866,0.00011920434,0.00032835096],"about_ca_topic_score_codex":0.0000034539753,"about_ca_topic_score_gemma":0.0000101168325,"teacher_disagreement_score":0.49425775,"about_ca_system_score_codex":0.000038364396,"about_ca_system_score_gemma":0.000024355846,"threshold_uncertainty_score":0.8010608},"labels":[],"label_agreement":null},{"id":"W2914153845","doi":"10.1139/cgj-2018-0555","title":"Dynamic response of soft soils in high-speed rail foundation: in situ measurements and time domain finite element method model","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; China Railway","keywords":"Train; Vibration; Foundation (evidence); Track (disk drive); Time domain; Geotechnical engineering; Finite element method; Displacement (psychology); Structural engineering; Slab; Engineering; Acceleration; Frequency domain; Geology; Acoustics; Computer science; Mechanical engineering; Physics; Geography","score_opus":0.010774287813589804,"score_gpt":0.22649682389477943,"score_spread":0.21572253608118963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914153845","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":[0.8263157,0.00011870063,0.17277898,0.0002777295,0.000118211865,0.0001907863,0.00001940445,0.00003841805,0.00014204909],"genre_scores_gemma":[0.9838073,0.000023194076,0.015983965,0.00004359116,0.000011124709,0.0000036546899,0.0000084204385,0.000032108077,0.00008660746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986653,0.00008487261,0.00046912412,0.00015680057,0.00022027217,0.0004036393],"domain_scores_gemma":[0.99930686,0.00011717738,0.000047696725,0.00019439634,0.000040941177,0.00029294766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016389079,0.00016217439,0.00029123315,0.0005952019,0.000026564816,0.00003682156,0.00017513122,0.00016494488,0.000044139324],"category_scores_gemma":[0.00011295431,0.00017948064,0.00004571774,0.00026459296,0.000021804613,0.000119992495,0.000018822486,0.00049874256,0.000016969127],"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":[0.000050980485,0.000008367113,0.00015298967,0.00002096473,0.00001707154,0.000023566512,0.00007630309,0.98139507,0.016159847,0.000052556137,0.000028662338,0.0020136284],"study_design_scores_gemma":[0.0009351004,0.000047219008,0.004872039,0.000111412766,0.0000065807385,0.00003483015,0.000015277514,0.99252105,0.0000876398,0.0010315455,0.00015285944,0.00018447262],"about_ca_topic_score_codex":0.00053649454,"about_ca_topic_score_gemma":0.0036847622,"teacher_disagreement_score":0.15749161,"about_ca_system_score_codex":0.0008114444,"about_ca_system_score_gemma":0.000257599,"threshold_uncertainty_score":0.7319009},"labels":[],"label_agreement":null},{"id":"W2916263204","doi":"10.37798/2014631-4168","title":"Structural-mechanics analysis of the 10g transformer impact","year":2022,"lang":"en","type":"article","venue":"Journal of Energy - Energija","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"ABB (Canada)","funders":"","keywords":"Transformer; Engineering; Automotive engineering; Computer science; Electrical engineering; Voltage","score_opus":0.004301174235817312,"score_gpt":0.19285567757313898,"score_spread":0.18855450333732168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916263204","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":[0.9792085,0.00087047584,0.018161599,0.000037111702,0.0010342931,0.000015569169,0.00006724526,0.000030589235,0.000574565],"genre_scores_gemma":[0.99939483,0.00014168877,0.00020716808,0.000020978137,0.00007181397,0.0000017064227,0.0000073437845,0.000028749204,0.00012571618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988691,0.00003498285,0.00044691362,0.0000671155,0.00039304738,0.00018884435],"domain_scores_gemma":[0.99944824,0.000040573497,0.00015055868,0.00022678294,0.000061083585,0.00007273921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017855054,0.00014794125,0.0003568647,0.0003985534,0.00007424382,0.000012412172,0.0003812949,0.00004677565,0.00019017699],"category_scores_gemma":[0.000011588163,0.000101961006,0.00066134916,0.0011589386,0.000011755276,0.0000865761,0.000022828131,0.0002699126,8.6002544e-8],"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":[0.000012532465,0.000009174913,0.00015080678,0.00000603988,0.0011750537,0.000005223221,0.00011677034,0.986812,0.008332535,0.0017592927,0.0002024671,0.0014181309],"study_design_scores_gemma":[0.0002661023,0.000100407335,0.0017325039,0.000007706121,0.00061869924,0.00006409896,0.00008838955,0.9898446,0.0030779645,0.00031296586,0.0037277834,0.0001587353],"about_ca_topic_score_codex":0.000044331224,"about_ca_topic_score_gemma":0.000032689662,"teacher_disagreement_score":0.020186285,"about_ca_system_score_codex":0.00016843063,"about_ca_system_score_gemma":0.00004660668,"threshold_uncertainty_score":0.4157849},"labels":[],"label_agreement":null},{"id":"W2916578846","doi":"10.1061/jtepbs.0000231","title":"Rail Pad Stiffness and Classification System","year":2019,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Stiffness; Track (disk drive); Structural engineering; Attenuation; Computer science; Range (aeronautics); Engineering; Mechanical engineering; Physics","score_opus":0.007739282604199521,"score_gpt":0.18274210252495585,"score_spread":0.17500281992075634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916578846","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":[0.92663527,0.0010136865,0.067954876,0.000009526604,0.0037201764,0.00017549256,0.00003222165,0.00027515952,0.00018359111],"genre_scores_gemma":[0.99915916,0.00007850296,0.00043747356,0.0000011272864,0.00018805932,0.000008634505,0.000017773358,0.0000497633,0.00005950226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883467,0.000009545973,0.0006337193,0.00010178705,0.00024629864,0.00017397225],"domain_scores_gemma":[0.99945897,0.000051462015,0.00012853787,0.00013858468,0.00010586116,0.000116600124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024298491,0.00017731344,0.00033979083,0.00020791923,0.000016742655,0.00005056962,0.00009690856,0.000102261445,0.000002888943],"category_scores_gemma":[0.0000063777056,0.00017263042,0.000073828734,0.00017108553,0.000006817181,0.00024428268,0.0000010382205,0.00020070082,0.000011635822],"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":[0.000008736194,0.000005975139,0.0014038105,0.0012815896,0.000077793884,0.000008548096,0.0002557065,0.9854729,0.009016929,0.002194763,0.000100166304,0.000173092],"study_design_scores_gemma":[0.0006501677,0.00003609865,0.046769444,0.0006899689,0.0000551689,0.00010526849,0.0004551723,0.9423559,0.00011053502,9.074196e-7,0.00851853,0.0002528885],"about_ca_topic_score_codex":0.0000020583188,"about_ca_topic_score_gemma":7.41946e-7,"teacher_disagreement_score":0.07252389,"about_ca_system_score_codex":0.000089651876,"about_ca_system_score_gemma":0.000015561,"threshold_uncertainty_score":0.7039664},"labels":[],"label_agreement":null},{"id":"W2919485843","doi":"10.1139/tcsme-2018-0204","title":"Failure mode investigation and re-design of heavy-duty commercial vehicle bogie bracket","year":2019,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bogie; Bracket; Structural engineering; Chassis; Suspension (topology); Axle; Engineering; Shock absorber; Automotive engineering; Strain gauge; Heavy duty; Stress (linguistics); Mathematics","score_opus":0.012399445326045281,"score_gpt":0.1945049413277646,"score_spread":0.18210549600171932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919485843","genre_codex":"methods","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":[0.17077819,0.000098787095,0.8272842,0.00040592108,0.0004837477,0.00052410533,0.0002558701,0.00014976319,0.00001943125],"genre_scores_gemma":[0.9777363,0.000019335244,0.022093222,0.000030077988,0.000022007036,0.000020510499,0.000006960577,0.000045043427,0.000026520174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992935,0.0000068444456,0.00022592439,0.000119178934,0.00011132484,0.0002432262],"domain_scores_gemma":[0.99944025,0.00010946354,0.000024914065,0.00023338458,0.00003812958,0.0001538477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015629044,0.00014260343,0.00021232557,0.00004932103,0.00006913774,0.000012931048,0.00016484795,0.00017961371,0.000009007165],"category_scores_gemma":[0.000017837587,0.00014338021,0.00022213283,0.00020378413,0.00002933698,0.00010012917,0.0000044818808,0.0002374225,6.1948356e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035825783,0.0000033758495,0.000008755583,0.00024210589,0.00007422716,3.886061e-8,0.00022481549,0.9697005,0.028254403,0.0009824723,0.00014345761,0.0003622634],"study_design_scores_gemma":[0.0002822664,0.000036394038,0.00009683882,0.000065581065,0.000045154746,0.0000015464348,0.000062149375,0.977651,0.021155717,0.00021125781,0.00024574777,0.00014633311],"about_ca_topic_score_codex":0.0014042438,"about_ca_topic_score_gemma":0.0034788528,"teacher_disagreement_score":0.80695814,"about_ca_system_score_codex":0.00016358658,"about_ca_system_score_gemma":0.00007856284,"threshold_uncertainty_score":0.58468753},"labels":[],"label_agreement":null},{"id":"W2922069260","doi":"10.1177/1475921719834506","title":"Experimental and numerical investigation of the performance of self-sensing concrete sleepers","year":2019,"lang":"en","type":"article","venue":"Structural Health Monitoring","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Innovate UK; Engineering and Physical Sciences Research Council; University of Cambridge; Heriot-Watt University","keywords":"Ballast; Fiber Bragg grating; Cracking; Structural engineering; Deflection (physics); Computer science; Materials science; Optical fiber; Engineering; Telecommunications; Composite material","score_opus":0.006495619633936733,"score_gpt":0.2274081865217686,"score_spread":0.22091256688783187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922069260","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":[0.998135,0.0004585132,0.000041745163,0.000010027768,0.001147773,0.00011071514,0.0000025419956,0.00006652924,0.00002715659],"genre_scores_gemma":[0.99690187,0.000016297876,0.002998802,0.0000032874755,0.000060391645,6.46549e-7,8.82709e-7,0.000014750552,0.0000030911708],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944603,0.000012605412,0.00019706748,0.00007839695,0.00011734455,0.00014853809],"domain_scores_gemma":[0.99974066,0.000021979362,0.000052395004,0.0001176657,0.000015670787,0.00005160394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000054231754,0.000088992136,0.00015004867,0.000027932183,0.000040583003,0.000004821138,0.000055570777,0.00003462172,8.7517276e-7],"category_scores_gemma":[0.0000028305428,0.00007229777,0.000022457561,0.00009539946,0.000025909563,0.00007371458,0.000020472982,0.000115754156,3.1801363e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014709538,6.0549485e-7,0.45735672,0.0015891754,0.000044628177,2.1161387e-7,0.0060188826,0.13698865,0.39217016,0.00013878327,0.0000038776975,0.00567359],"study_design_scores_gemma":[0.00018919268,0.00006961833,0.14591353,0.00015925415,0.0000032569703,0.000007669648,0.00023855426,0.64615905,0.20715457,0.000003838781,0.000005804931,0.00009568414],"about_ca_topic_score_codex":0.00003230279,"about_ca_topic_score_gemma":5.509175e-8,"teacher_disagreement_score":0.50917035,"about_ca_system_score_codex":0.00007710686,"about_ca_system_score_gemma":0.000017384422,"threshold_uncertainty_score":0.29482174},"labels":[],"label_agreement":null},{"id":"W2938614128","doi":"10.1177/0954409719841516","title":"Switch angle design: Formulation, inferences, and uses","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Jerk; Acceleration; Control theory (sociology); Point (geometry); Computer science; Engineering; Mathematics; Physics; Geometry; Classical mechanics; Artificial intelligence","score_opus":0.010375316345031893,"score_gpt":0.18464345048026745,"score_spread":0.17426813413523556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938614128","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":[0.9231037,0.0012155507,0.07442555,0.00017876744,0.000608616,0.00017631144,0.000008038212,0.00003933606,0.0002441611],"genre_scores_gemma":[0.99531496,0.0008631905,0.0037495159,0.0000068957997,0.000042125033,0.0000011058662,3.903253e-7,0.0000108709055,0.000010971084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991665,0.0000033904919,0.00041765405,0.00007516256,0.00021509845,0.00012220872],"domain_scores_gemma":[0.9995417,0.000046987836,0.00011746342,0.000047533427,0.00017073393,0.000075603806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034244123,0.0001309849,0.00029265764,0.000113182294,0.000030199877,0.000015117083,0.00013285874,0.00009874131,0.0000075007224],"category_scores_gemma":[0.00005427911,0.00009285539,0.00008408749,0.00017254846,0.000043134813,0.00028945558,0.00001307056,0.00019581863,3.74624e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020950368,0.00009075895,0.0011062778,0.0017733596,0.0004228065,0.0000013554911,0.0010766147,0.7511455,0.17722125,0.057097465,0.00034820766,0.009506903],"study_design_scores_gemma":[0.0043812916,0.001174609,0.0038594832,0.0020638304,0.00039917164,0.00038188315,0.00051359815,0.7514757,0.22613077,0.0039158883,0.0049892636,0.000714497],"about_ca_topic_score_codex":0.0000012141684,"about_ca_topic_score_gemma":2.7021417e-7,"teacher_disagreement_score":0.072211266,"about_ca_system_score_codex":0.000016115591,"about_ca_system_score_gemma":0.000024258632,"threshold_uncertainty_score":0.3786533},"labels":[],"label_agreement":null},{"id":"W2945901319","doi":"","title":"Investigation of adverse effects of a rail vehicle running with damaged wheel using the computer tool","year":2017,"lang":"en","type":"article","venue":"Zeszyty Naukowe Instytutu Pojazdów / Politechnika Warszawska","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Automotive engineering; Wheel running; Engineering; Computer science; Simulation; Forensic engineering; Medicine","score_opus":0.009273029375209253,"score_gpt":0.2034324935156039,"score_spread":0.19415946414039467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945901319","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":[0.9598223,0.00013391815,0.03766318,0.000050107297,0.00045488446,0.00053896947,0.000031270825,0.00040176528,0.00090358686],"genre_scores_gemma":[0.9798484,0.000030141251,0.01972626,0.00005269828,0.00015836413,0.000025554706,0.00001406749,0.00009952557,0.000044987304],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981206,0.000044661443,0.0005782758,0.00030419242,0.0004279459,0.0005243301],"domain_scores_gemma":[0.99783874,0.00015653382,0.00034449494,0.0013868717,0.00014809977,0.00012525605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003886944,0.00041048496,0.00052437844,0.00024916718,0.0003279224,0.00006064671,0.0007682979,0.00023009558,0.0000036572558],"category_scores_gemma":[0.000095988435,0.00033050848,0.00015969462,0.00029905912,0.00044037306,0.0005072254,0.0001750787,0.0004716163,0.00000404181],"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":[0.00033142406,0.00023151514,0.17117319,0.0069550816,0.0014031219,0.00024876025,0.012682426,0.33035305,0.4273688,0.030131176,0.0007902819,0.0183312],"study_design_scores_gemma":[0.003406987,0.0003725301,0.21603043,0.0020458829,0.00028106628,0.000077261866,0.00021733434,0.696988,0.07764458,0.00048660598,0.0012657908,0.0011835315],"about_ca_topic_score_codex":0.000276143,"about_ca_topic_score_gemma":0.000018274282,"teacher_disagreement_score":0.36663496,"about_ca_system_score_codex":0.0001370296,"about_ca_system_score_gemma":0.0000807401,"threshold_uncertainty_score":0.9999147},"labels":[],"label_agreement":null},{"id":"W2946421969","doi":"10.1139/tcsme-2018-0083","title":"Roller–rail parameters on the transverse vibration characteristics of super-high-speed elevators","year":2019,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province","keywords":"Vibration; Elevator; Acceleration; Eccentricity (behavior); Structural engineering; Displacement (psychology); Engineering; Acoustics; Physics; Classical mechanics","score_opus":0.006782390521095255,"score_gpt":0.1647905388784329,"score_spread":0.15800814835733765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946421969","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":[0.77968353,0.000020092746,0.21708044,0.00046647145,0.0013496183,0.0006939554,0.00052679813,0.00013701366,0.0000420794],"genre_scores_gemma":[0.99694675,0.000020137371,0.0028098833,0.000047219204,0.000024731178,0.000024343473,0.000012946737,0.000059832604,0.00005417656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990618,0.000007857944,0.00031225805,0.00013565918,0.00018047074,0.00030190786],"domain_scores_gemma":[0.99921995,0.00020019655,0.0000343203,0.00037855256,0.000044241242,0.00012273654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018975574,0.00019353324,0.00026305494,0.000060923576,0.00008946717,0.000016810563,0.00029072122,0.00017965086,0.00003991376],"category_scores_gemma":[0.000026276939,0.00015460027,0.00054125814,0.0002897124,0.000028080989,0.000071103146,0.0000024380872,0.00031604758,0.0000029405112],"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":[0.0000075525536,0.000010272172,0.000003365258,0.0001612778,0.00019378356,7.8223586e-8,0.00024804106,0.9662566,0.027413413,0.0052759405,0.00005130597,0.00037834505],"study_design_scores_gemma":[0.00037545012,0.00007161547,0.00014474285,0.00008198781,0.00008434735,0.0000014192976,0.00011573343,0.96665746,0.03159523,0.00005970263,0.0006056039,0.00020670841],"about_ca_topic_score_codex":0.0007832553,"about_ca_topic_score_gemma":0.00074713473,"teacher_disagreement_score":0.2172632,"about_ca_system_score_codex":0.00022970939,"about_ca_system_score_gemma":0.000069988215,"threshold_uncertainty_score":0.6304416},"labels":[],"label_agreement":null},{"id":"W2951605526","doi":"10.1177/0954409719851626","title":"Bridge transition monitoring: Interpretation of track defects using digital image correlation and distributed fiber optic strain sensing","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Pacific Railway (Canada); Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Flange; Track (disk drive); Digital image correlation; Bridge (graph theory); Structural engineering; Settlement (finance); Train; Stiffness; Engineering; Computer science; Optics; Mechanical engineering; Physics","score_opus":0.006983152061698887,"score_gpt":0.19342663973169993,"score_spread":0.18644348767000105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951605526","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":[0.8433423,0.00020168356,0.15593316,0.000026061934,0.00029432977,0.00010782048,0.00004632406,0.000018363622,0.000029931198],"genre_scores_gemma":[0.99641114,0.00009122149,0.0034368273,9.3260303e-7,0.0000396373,2.6570928e-7,0.0000040852824,0.000014437387,0.0000014585805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903286,0.0000049217747,0.0005298141,0.00008957521,0.0002241627,0.000118684286],"domain_scores_gemma":[0.99946296,0.00004576761,0.00018273818,0.0000440692,0.00019881986,0.00006561427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024300007,0.00014614173,0.0003242722,0.00012477167,0.000026070811,0.000021913733,0.000071899405,0.00010740332,0.0000019481658],"category_scores_gemma":[0.00005572395,0.0001224528,0.00013096562,0.00018102351,0.00008170956,0.0005155951,0.0000075595194,0.00022348201,1.4414904e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118594544,0.000028980156,0.000054381206,0.00082200184,0.000118368436,0.0000010069208,0.00077560596,0.6974651,0.29578254,0.00066790613,0.0000026526443,0.0041628527],"study_design_scores_gemma":[0.0009018907,0.0002028752,0.0010041336,0.00123541,0.00017901638,0.00017125429,0.0003225005,0.94606,0.049574938,0.00017947989,0.000012033803,0.00015644144],"about_ca_topic_score_codex":0.0000010135682,"about_ca_topic_score_gemma":5.3566442e-8,"teacher_disagreement_score":0.24859491,"about_ca_system_score_codex":0.000035541732,"about_ca_system_score_gemma":0.00001844851,"threshold_uncertainty_score":0.49934798},"labels":[],"label_agreement":null},{"id":"W2954267278","doi":"10.1016/j.compgeo.2019.103150","title":"A three-dimensional semi-analytical method for calculating vibrations from a moving load on a periodic jointed tunnel","year":2019,"lang":"en","type":"article","venue":"Computers and Geotechnics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"International Cooperation and Exchange Programme; National Natural Science Foundation of China","keywords":"Vibration; Structural engineering; Shield; Geotechnical engineering; Joint (building); Engineering; Geology; Mechanics; Physics; Acoustics","score_opus":0.009739818725342913,"score_gpt":0.22484274567981724,"score_spread":0.21510292695447433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954267278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16539161,0.00012550039,0.83354056,0.00008405771,0.00025823477,0.0001908652,0.0000385224,0.000320961,0.000049723567],"genre_scores_gemma":[0.695658,0.0000061017954,0.30382895,0.00018367452,0.00012724026,0.000022863078,0.00007029838,0.00006218252,0.00004066127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991823,0.0000062805348,0.00020344672,0.0002495423,0.00013643195,0.00022201889],"domain_scores_gemma":[0.9993525,0.00027731815,0.00002320639,0.0002235362,0.000039423947,0.00008399296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012468253,0.00017914407,0.00024327422,0.000076228185,0.00007387228,0.000063823165,0.00008754303,0.000127415,0.000008455244],"category_scores_gemma":[0.000032226155,0.0001773248,0.000095445095,0.00011292101,0.000014009002,0.00005286803,0.000050015442,0.00021963741,0.000007936338],"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":[0.000008152927,0.000009808588,0.000023455272,0.000037847407,0.000048700458,0.00000212871,0.00006881874,0.99138474,0.0014973071,0.0011723378,0.0004010425,0.0053456593],"study_design_scores_gemma":[0.0003819863,0.000060783423,0.00038818235,0.00011283262,0.000025688254,0.000007949708,0.000010404378,0.9973158,0.000054569166,0.0006601614,0.0007689975,0.00021262746],"about_ca_topic_score_codex":0.000035005916,"about_ca_topic_score_gemma":0.000015486117,"teacher_disagreement_score":0.5302664,"about_ca_system_score_codex":0.000072395604,"about_ca_system_score_gemma":0.000022989587,"threshold_uncertainty_score":0.7231095},"labels":[],"label_agreement":null},{"id":"W2954441400","doi":"10.1007/978-3-030-12391-8_1","title":"Nonsmooth Modal Analysis of a Non-internally Resonant Finite Bar Subject to a Unilateral Contact Constraint","year":2019,"lang":"en","type":"book-chapter","venue":"Conference proceedings of the Society for Experimental Mechanics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mathematical analysis; Mathematics; Boundary value problem; Dissipative system; Discretization; Modal; Boundary (topology); Physics","score_opus":0.011288329466903823,"score_gpt":0.2206060939717268,"score_spread":0.20931776450482298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954441400","genre_codex":"methods","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":[0.3115222,0.0024679578,0.5323609,0.00022468595,0.0061288024,0.011988119,0.010982867,0.001132423,0.123192035],"genre_scores_gemma":[0.98522586,0.00007212608,0.0034287744,0.00004437429,0.00005635607,0.00005231531,0.00004492943,0.00013188928,0.010943352],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982342,0.0000012605723,0.0006269054,0.00039766025,0.00037625816,0.0003636865],"domain_scores_gemma":[0.9989268,0.00006060577,0.0002865756,0.00027380764,0.0003309521,0.00012124953],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001910716,0.0005323682,0.0010153562,0.00016630403,0.000050959025,0.000053739754,0.0007309114,0.0004029031,0.00005039491],"category_scores_gemma":[0.000020514042,0.00046762047,0.0020161497,0.00014942444,0.000056430334,0.00008804566,0.00021859635,0.00036671004,0.0000033626902],"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":[0.00023241478,0.00009314482,0.000040180355,0.0015546373,0.011147719,8.7360957e-7,0.008824959,0.021921145,0.58316773,0.37122747,0.00094581407,0.0008439083],"study_design_scores_gemma":[0.00068367115,0.0005005014,0.000013512412,0.0010751291,0.0012786565,0.0000034521845,0.0008352923,0.93820244,0.05389888,0.0011930787,0.0015799091,0.0007354506],"about_ca_topic_score_codex":0.000011543732,"about_ca_topic_score_gemma":0.0000027148362,"teacher_disagreement_score":0.91628134,"about_ca_system_score_codex":0.00026678632,"about_ca_system_score_gemma":0.000107637024,"threshold_uncertainty_score":0.99977756},"labels":[],"label_agreement":null},{"id":"W2963198229","doi":"","title":"The influence of wheelset flexibility on the development of railway wheel polygonalization","year":2018,"lang":"en","type":"article","venue":"Huddersfield Research Portal (University of Huddersfield)","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Flexibility (engineering); Wheel running; Engineering; Economics","score_opus":0.03630970835004827,"score_gpt":0.26581456711800056,"score_spread":0.2295048587679523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963198229","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":[0.5185488,0.00019087533,0.013049353,0.00076796394,0.00024106898,0.0005037282,0.000024702655,0.00009978317,0.46657372],"genre_scores_gemma":[0.9988026,0.00009166548,0.00070295256,0.000010825844,0.000025751204,0.0000011121413,0.0000055290843,0.0000123024,0.00034723003],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9985043,0.00008282819,0.00029023824,0.00018218068,0.0006049262,0.00033555602],"domain_scores_gemma":[0.99831903,0.0005921399,0.000085007836,0.0005272744,0.00040121577,0.000075329976],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010556978,0.00013222695,0.00019372212,0.00016216098,0.00037573243,0.000013510712,0.0006213622,0.000151057,0.006528553],"category_scores_gemma":[0.0002298816,0.00010561614,0.0000922084,0.0004397437,0.0007068841,0.00011827141,0.00011392697,0.0003913124,0.000011778058],"study_design_candidate":"qualitative","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":[0.00031840414,0.00018988345,0.0010544533,0.0005218046,0.00047105888,0.000012511665,0.019121628,0.047993664,0.01628709,0.02137572,0.8829478,0.009705989],"study_design_scores_gemma":[0.0007198074,0.0005142961,0.0015302304,0.00034663978,0.000031444622,0.0000040466903,0.93406916,0.03345155,0.026463145,0.0016648768,0.00079973746,0.00040504048],"about_ca_topic_score_codex":0.00008392452,"about_ca_topic_score_gemma":0.00054715626,"teacher_disagreement_score":0.91494757,"about_ca_system_score_codex":6.098201e-7,"about_ca_system_score_gemma":0.0001382013,"threshold_uncertainty_score":0.99437964},"labels":[],"label_agreement":null},{"id":"W2963984670","doi":"10.1115/jrc2019-1284","title":"Estimating the Outer Ring Defect Size and Remaining Service Life of Freight Railcar Bearings Using Vibration Signatures","year":2019,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bearing (navigation); Spall; Engineering; Automotive engineering; Schedule; Vibration; Raceway; Detector; Turbofan; Condition monitoring; Truck; Computer science; Structural engineering; Electrical engineering; Lubrication; Mechanical engineering; Artificial intelligence","score_opus":0.006959935862260248,"score_gpt":0.19366835939032054,"score_spread":0.1867084235280603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963984670","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":[0.89857113,0.0001814662,0.098935135,0.000028666,0.00025444434,0.00012095517,0.0000018616961,0.00020817647,0.0016981479],"genre_scores_gemma":[0.9366083,0.0000032473622,0.06315983,0.00008518739,0.0000753969,0.0000022223335,0.000001962034,0.000038043825,0.000025795387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993175,0.000013185146,0.00021449904,0.00014180182,0.00012766318,0.00018532205],"domain_scores_gemma":[0.9994312,0.00024509808,0.000040756644,0.00020199448,0.000034264805,0.000046703684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020578808,0.00014988029,0.00017804625,0.00004953441,0.00005583213,0.00005748799,0.00010404995,0.000086480446,0.000019301251],"category_scores_gemma":[0.000080388854,0.00011689969,0.00004508935,0.00016107476,0.000011337444,0.00018893326,0.0000495716,0.00019532925,0.000003897389],"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":[0.0000022410497,0.0000016129187,0.0011126839,0.00019458457,0.0000370048,5.069834e-7,0.00057487126,0.9490163,0.04852876,0.0003372263,0.0000044807475,0.00018975056],"study_design_scores_gemma":[0.00017211547,0.000010389179,0.0038513688,0.000111887675,0.000022322978,0.0000059114477,0.00009707164,0.9939558,0.0015407562,0.00006930846,0.000016579805,0.00014652581],"about_ca_topic_score_codex":0.00004948779,"about_ca_topic_score_gemma":0.000008557919,"teacher_disagreement_score":0.046988003,"about_ca_system_score_codex":0.000021523105,"about_ca_system_score_gemma":0.00001047361,"threshold_uncertainty_score":0.4767031},"labels":[],"label_agreement":null},{"id":"W2966776160","doi":"10.1680/icsic.64669.533","title":"Evaluation of a Railway Bridge Using Distributed and Discrete Strain Sensors","year":2019,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Canadian Pacific Railway (Canada); Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Bridge (graph theory); Computer science; Strain (injury); Structural engineering; Engineering; Medicine","score_opus":0.018512095315944103,"score_gpt":0.24554679332515308,"score_spread":0.22703469800920897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966776160","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":[0.95075005,0.0000841444,0.04749124,0.0000053054896,0.00011908859,0.00013661309,0.00012739374,0.000112273956,0.001173881],"genre_scores_gemma":[0.99873126,0.000007581798,0.0011583423,0.0000012863675,0.00001408159,0.0000014613402,0.000039397055,0.000017830269,0.000028766706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941564,0.000017085198,0.00013524778,0.000090867805,0.00021959505,0.00012156675],"domain_scores_gemma":[0.99973446,0.000023639861,0.0000151302165,0.00013150167,0.000057655587,0.000037611804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034522967,0.0000906638,0.00012212522,0.00004787713,0.000009321836,0.000012284872,0.00003366243,0.000046427533,0.00004495795],"category_scores_gemma":[0.000027657952,0.000087108114,0.000024783376,0.000097047014,0.000012371662,0.00007173343,0.000010241291,0.000056925255,0.0000044608046],"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":[0.0000013098112,0.0000025623388,0.0006754419,0.000049209593,0.00003097048,2.3239251e-7,0.00007638054,0.976109,0.02035176,0.00021710632,0.000012482938,0.002473538],"study_design_scores_gemma":[0.00031672575,0.000011051941,0.02490095,0.000022128317,0.000039329592,0.000004565598,0.000043987682,0.9737464,0.00070368324,0.0000737692,0.000030787407,0.00010659689],"about_ca_topic_score_codex":0.000015760465,"about_ca_topic_score_gemma":0.000004118368,"teacher_disagreement_score":0.04798119,"about_ca_system_score_codex":0.000048300953,"about_ca_system_score_gemma":0.000012710306,"threshold_uncertainty_score":0.35521656},"labels":[],"label_agreement":null},{"id":"W2970444923","doi":"10.1061/9780784482575.041","title":"Track Modulus: Ballasted and Direct Fixation Track","year":2019,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Track (disk drive); Stiffness; Fastener; Deflection (physics); Computation; Modulus; Structural engineering; Computer science; Engineering; Algorithm; Materials science; Mechanical engineering; Physics; Composite material; Optics","score_opus":0.003723991412819182,"score_gpt":0.17008746060814153,"score_spread":0.16636346919532236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970444923","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":[0.9335281,0.00013972989,0.007893929,0.00002124721,0.0003699753,0.00009671927,0.0000055433316,0.00070266274,0.057242095],"genre_scores_gemma":[0.9943584,0.00004421558,0.0013608222,0.000011379197,0.000029710302,0.0000032103974,0.000009545884,0.000024884352,0.0041578063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996057,0.000003519495,0.00009507415,0.00010379315,0.00006388993,0.00012802918],"domain_scores_gemma":[0.9997955,0.000022472695,0.0000064020887,0.000119811215,0.000010491334,0.000045324254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045066132,0.0000940269,0.000100982055,0.000044275122,0.000010192302,0.000025365529,0.00003832274,0.000056581575,0.000084989035],"category_scores_gemma":[0.000007092256,0.00008914119,0.00002057673,0.00007727381,0.0000050735666,0.000100034136,0.000005600141,0.000066002154,0.00011092345],"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":[0.0000046901,0.000012530657,0.0023208465,0.00014296744,0.0000378972,0.000001527575,0.0002424052,0.9690162,0.013682343,0.00062087114,0.0016048438,0.012312893],"study_design_scores_gemma":[0.00019613617,0.0000182057,0.0119273625,0.000011496378,0.000004484834,0.0000033724402,0.000023389002,0.98411334,0.0008898347,0.000023122706,0.0026533308,0.00013591493],"about_ca_topic_score_codex":0.000005229258,"about_ca_topic_score_gemma":0.000008143428,"teacher_disagreement_score":0.06083033,"about_ca_system_score_codex":0.000018998655,"about_ca_system_score_gemma":0.000002369671,"threshold_uncertainty_score":0.36350724},"labels":[],"label_agreement":null},{"id":"W2972841022","doi":"10.1139/cjce-2019-0341","title":"The first rolling load simulator (ROLLS) for testing bridges in Canada and its application on a full-scale precast box girder","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Precast concrete; Structural engineering; Girder; Engineering; Truck; Axle; Load testing; Scale model; Full scale; Design load; Box girder; Finite element method; Bridge (graph theory); Stiffness; Axle load; Structural load; Automotive engineering","score_opus":0.004599309876384945,"score_gpt":0.16016290367029254,"score_spread":0.1555635937939076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972841022","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":[0.98639023,0.0022337628,0.009893712,0.000117408345,0.0008033274,0.00031694458,0.000029585677,0.000030261644,0.00018477581],"genre_scores_gemma":[0.9995528,0.000029047413,0.0001802214,0.00001767407,0.00013109532,0.000009967872,0.0000010901746,0.000056137287,0.000021952907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989824,0.0000035797705,0.00033646586,0.00011602401,0.00014830088,0.00041318068],"domain_scores_gemma":[0.99910647,0.00032208703,0.000055953657,0.00013545032,0.0001028501,0.00027717158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024058121,0.00018066648,0.00021974008,0.00015012466,0.000069981215,0.000056847173,0.00017265473,0.00005935917,0.0000028899656],"category_scores_gemma":[0.00013639675,0.00017112051,0.000039506493,0.00018912443,0.0000069056846,0.00009771601,0.000005662168,0.00027999087,0.0000017066825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056093945,0.0000010784571,0.0023329894,0.00011173195,0.000018688865,0.000005893064,0.00011053773,0.9958344,0.00044627328,0.00003408747,0.00005850905,0.0010401903],"study_design_scores_gemma":[0.00037390413,0.000037803624,0.005961783,0.00022274003,0.000008741433,0.00003520933,0.000046665402,0.9879473,0.00014852454,0.000009080405,0.005018189,0.00019006783],"about_ca_topic_score_codex":0.048283566,"about_ca_topic_score_gemma":0.98019266,"teacher_disagreement_score":0.9319091,"about_ca_system_score_codex":0.00095588586,"about_ca_system_score_gemma":0.0006232683,"threshold_uncertainty_score":0.958054},"labels":[],"label_agreement":null},{"id":"W2980146438","doi":"10.1007/s12205-019-0084-4","title":"Effect of Dynamic Interaction of Two Neighboring Tunnels on Vibrations from Underground Railways in the Saturated Soil","year":2019,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Biot number; Vibration; Geotechnical engineering; Boundary value problem; Shell (structure); Soil structure interaction; Structural engineering; Geology; Engineering; Mechanics; Physics; Mathematics; Finite element method; Acoustics; Mathematical analysis; Civil engineering","score_opus":0.004119400088472814,"score_gpt":0.2176633545561382,"score_spread":0.2135439544676654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980146438","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":[0.9544927,0.000309068,0.04323183,0.000017111628,0.0011622959,0.00012512063,0.000010673139,0.000047058227,0.0006041469],"genre_scores_gemma":[0.9994436,0.00008116911,0.0003211827,0.0000036895065,0.0000871018,0.0000030140502,0.0000072051976,0.00004602674,0.0000070413066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987331,0.000048838763,0.0006218947,0.00010093282,0.00029215202,0.00020310438],"domain_scores_gemma":[0.99865484,0.00082987087,0.00017285357,0.00024371914,0.00005335016,0.000045367986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004921255,0.00022409065,0.00043887243,0.00038533527,0.000013211471,0.000030106476,0.00025769783,0.00008500592,0.000019922058],"category_scores_gemma":[0.0001003466,0.00017936093,0.00015348465,0.0003859254,0.00001091422,0.00030839958,0.000014206925,0.0005834824,0.0000039638603],"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":[0.000035048502,0.000018934397,0.00026952373,0.0001629984,0.00007926422,0.000005972226,0.0003250133,0.87700623,0.12128808,0.0001631195,0.000010535312,0.0006352726],"study_design_scores_gemma":[0.0010581348,0.00032119328,0.0043145115,0.0008204539,0.00004765332,0.000029953626,0.00009099511,0.97834915,0.014709215,0.000055329612,0.00003206581,0.00017131888],"about_ca_topic_score_codex":0.00002408529,"about_ca_topic_score_gemma":0.000071655275,"teacher_disagreement_score":0.10657887,"about_ca_system_score_codex":0.00015413838,"about_ca_system_score_gemma":0.000019011532,"threshold_uncertainty_score":0.73141265},"labels":[],"label_agreement":null},{"id":"W2980287707","doi":"10.1142/s021945542050011x","title":"Seismic Damage Mechanism of CRTS-II Slab Ballastless Track Structure on High-Speed Railway Bridges","year":2019,"lang":"en","type":"article","venue":"International Journal of Structural Stability and Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":37,"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 British Columbia","funders":"National Natural Science Foundation of China","keywords":"Slab; Structural engineering; OpenSees; CRTS; Track (disk drive); Geology; Subgrade; Girder; Shear (geology); Finite element method; Stiffness; Engineering; Geotechnical engineering; Computer science; Mechanical engineering","score_opus":0.004997627507096225,"score_gpt":0.20296884661812373,"score_spread":0.1979712191110275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980287707","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":[0.99114454,0.000057806476,0.005359714,0.000156628,0.0024496152,0.00010219963,0.0005589497,0.000040010214,0.00013055999],"genre_scores_gemma":[0.9987912,0.000050174895,0.0008873247,0.000022478182,0.00014305559,2.5073385e-7,0.000045270666,0.000028340792,0.000031904503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855655,0.000024764964,0.0005604809,0.00016935098,0.0005007755,0.00018805527],"domain_scores_gemma":[0.9990996,0.000109936314,0.00019581075,0.00018065391,0.00031529463,0.00009870827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016031126,0.00023876292,0.00037885585,0.00016910928,0.00003692786,0.000054366716,0.00038147354,0.00014263218,0.00011852771],"category_scores_gemma":[0.000045648852,0.00020528474,0.00012107494,0.00008514096,0.00006480083,0.0002771247,0.00006392531,0.00042538476,0.0000011677824],"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":[0.00025017906,0.00002899322,0.00528424,0.00017653848,0.00029940598,0.000015921047,0.0006781649,0.9465346,0.019132612,0.022671765,0.000013486121,0.0049141063],"study_design_scores_gemma":[0.0010489549,0.0002539352,0.049463,0.00010012624,0.000026287305,0.00012749428,0.00022572893,0.93436694,0.0063336757,0.007760344,0.00003741312,0.00025611612],"about_ca_topic_score_codex":0.00003206973,"about_ca_topic_score_gemma":0.00004065125,"teacher_disagreement_score":0.04417876,"about_ca_system_score_codex":0.00026163762,"about_ca_system_score_gemma":0.00003182989,"threshold_uncertainty_score":0.8371269},"labels":[],"label_agreement":null},{"id":"W2980724390","doi":"10.1139/cjce-2019-0020","title":"An efficient hybrid method for dynamic interaction of train–track–bridge coupled system","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Bridge (graph theory); Traverse; Computer science; Stiffness; Structural engineering; Mode (computer interface); Simulation; Engineering","score_opus":0.005386117887266248,"score_gpt":0.21163784613562633,"score_spread":0.20625172824836008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980724390","genre_codex":"methods","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":[0.3770714,0.00027635903,0.6202336,0.0000063441526,0.0019606259,0.0001582584,0.00006457392,0.000073671785,0.00015518376],"genre_scores_gemma":[0.99260986,0.0000063085467,0.00714475,0.0000032812488,0.0001137142,0.000005777129,0.0000141143955,0.00009050698,0.000011670378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876255,0.000012207178,0.0005580337,0.00012796807,0.00015031161,0.00038895773],"domain_scores_gemma":[0.99893874,0.000113875976,0.0001141794,0.00023696535,0.00015990833,0.0004363109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048506525,0.00022204251,0.00043788712,0.0005970937,0.00002559796,0.000041850148,0.0002474485,0.00008291093,0.000020801983],"category_scores_gemma":[0.000050117527,0.00024485166,0.0001807867,0.00018014442,0.000009039672,0.00016604381,0.0000030699691,0.0002859424,0.0000032093499],"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":[0.000006892276,0.000005470546,0.00003730275,0.0005694899,0.00008307605,0.000016849466,0.00019828333,0.98498845,0.013195412,0.0002873806,0.000040812447,0.00057057105],"study_design_scores_gemma":[0.00045860387,0.00012293279,0.00092755764,0.0003850786,0.000044253113,0.0002855001,0.000117315765,0.99600196,0.00080051634,0.000004428611,0.0006202707,0.00023157489],"about_ca_topic_score_codex":0.00012402779,"about_ca_topic_score_gemma":0.0021052347,"teacher_disagreement_score":0.6155385,"about_ca_system_score_codex":0.000503093,"about_ca_system_score_gemma":0.00015714638,"threshold_uncertainty_score":0.99847615},"labels":[],"label_agreement":null},{"id":"W2981199145","doi":"10.1109/miltechs.2019.8870083","title":"Dynamic Load Allowance for Military Tracked and Wheeled Vehicles: Experimental Results","year":2019,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Royal Military College of Canada","funders":"","keywords":"Allowance (engineering); Bridge (graph theory); Automotive engineering; Engineering; Computer science; Simulation; Aeronautics; Operations management","score_opus":0.004252235146595925,"score_gpt":0.20224454186637475,"score_spread":0.19799230671977883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981199145","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":[0.9888877,0.0019853776,0.0054434137,0.00003439407,0.0003613069,0.00029858638,0.000054049524,0.00045583316,0.0024793108],"genre_scores_gemma":[0.9885284,0.000081861006,0.009601256,0.000023838837,0.000018664403,0.000026721726,0.000031031002,0.000040032377,0.00164823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929065,0.00000343387,0.00018621037,0.00019982514,0.0000928195,0.00022708895],"domain_scores_gemma":[0.9996546,0.000055017837,0.0000078662615,0.00019842682,0.000018480354,0.00006560294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008779084,0.00015187457,0.00015827538,0.000034540022,0.000021873791,0.000012427809,0.000079859616,0.00007452012,0.000008317215],"category_scores_gemma":[0.000012086372,0.00015101976,0.000046083547,0.000049016526,0.00001657962,0.00010899661,0.000012695738,0.00007756636,0.000027895814],"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":[0.00039377334,0.00010781654,0.0002378391,0.00061653176,0.00017334275,0.000007342749,0.002909018,0.5993012,0.38399854,0.00083169574,0.00447924,0.0069436417],"study_design_scores_gemma":[0.0014890322,0.00009019179,0.00083405356,0.000025951122,0.0000048516727,0.0000041622466,0.0002393179,0.99136,0.003513012,0.000034497676,0.0021767411,0.00022819394],"about_ca_topic_score_codex":0.000012683731,"about_ca_topic_score_gemma":0.00002036591,"teacher_disagreement_score":0.3920588,"about_ca_system_score_codex":0.00008896279,"about_ca_system_score_gemma":0.000009821329,"threshold_uncertainty_score":0.61584073},"labels":[],"label_agreement":null},{"id":"W2982003429","doi":"10.36289/jtmi.v14i2.132","title":"Analisis deformasi pada coupling element dari automatic mechanical coupler: studi kasus LRT Palembang","year":2019,"lang":"id","type":"article","venue":"Jurnal Teknik Mesin Indonesia","topic":"Railway Engineering and Dynamics","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":"Encana (Canada)","funders":"","keywords":"Coupling (piping); Isotropy; Structural engineering; von Mises yield criterion; Stress (linguistics); Finite element method; Component (thermodynamics); Engineering; Transient (computer programming); Deformation (meteorology); Materials science; Mechanical engineering; Computer science; Composite material; Physics","score_opus":0.008584593790284416,"score_gpt":0.2215289104494328,"score_spread":0.21294431665914837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982003429","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":[0.97038627,0.0032020991,0.019738682,0.00019272798,0.0037983898,0.0010107743,0.00007127106,0.00088067487,0.0007191359],"genre_scores_gemma":[0.99546236,0.0009840057,0.0019099062,0.00009459366,0.00060642196,0.00005474686,0.00009525756,0.00032078437,0.00047190333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99404377,0.00009866456,0.0018204269,0.0008571225,0.0014713475,0.0017086909],"domain_scores_gemma":[0.99713564,0.0004337201,0.00041577074,0.0011732571,0.00022754537,0.0006140455],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001455348,0.0011546349,0.0014916874,0.00053006416,0.00039218203,0.0005569015,0.0008641374,0.00064199156,0.000236061],"category_scores_gemma":[0.00009562523,0.0011700809,0.00056614203,0.0010071131,0.00007904737,0.0004828216,0.0002540549,0.0015468184,0.0006126113],"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":[0.0002567183,0.000763629,0.096375115,0.0039154286,0.0033194053,0.0006058828,0.0014840938,0.85281104,0.025778595,0.005534075,0.0030349072,0.006121094],"study_design_scores_gemma":[0.0023902413,0.00032984014,0.061197534,0.00090984046,0.00038833072,0.00017870915,0.00072498806,0.9280516,0.0020677852,0.000026241863,0.0023273006,0.0014076141],"about_ca_topic_score_codex":0.000063160565,"about_ca_topic_score_gemma":0.000036894315,"teacher_disagreement_score":0.07524052,"about_ca_system_score_codex":0.00088590663,"about_ca_system_score_gemma":0.00033970727,"threshold_uncertainty_score":0.99907494},"labels":[],"label_agreement":null},{"id":"W2982795938","doi":"10.1061/jtepbs.0000287","title":"Speed, Fatigue Test, and P2 Load Limit: Fatigue Strength of Railroad Rail","year":2019,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Structural engineering; Reliability (semiconductor); Fatigue limit; Bending; Welding; Stress (linguistics); Vibration fatigue; Engineering; Fatigue testing; Mechanical engineering","score_opus":0.012224656962780389,"score_gpt":0.20596406701916342,"score_spread":0.19373941005638304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982795938","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":[0.9454395,0.0026515007,0.04834165,0.000015523345,0.002764617,0.00024612897,0.00011559793,0.00016281802,0.0002626728],"genre_scores_gemma":[0.9978467,0.0002997471,0.0014177938,0.0000019378288,0.00021709435,0.0000036264641,0.000019440458,0.0000671703,0.00012645154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814117,0.000010429059,0.0010147511,0.00013808049,0.00043931036,0.00025627433],"domain_scores_gemma":[0.99902433,0.0001754942,0.0002361306,0.00020206819,0.0001978938,0.00016409312],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033889298,0.0002778126,0.00059034023,0.00026322182,0.000015631238,0.000036794703,0.00015761782,0.00014310055,0.000012421865],"category_scores_gemma":[0.000047769543,0.00027441978,0.00014452165,0.00025374483,0.000015720065,0.00028166702,0.0000025261859,0.00030970605,0.0000036760155],"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":[0.000010918665,0.000025260193,0.0062334617,0.001054458,0.00013548291,0.0000139648,0.0006157163,0.98425126,0.0070622778,0.00018713226,0.00021530926,0.00019476475],"study_design_scores_gemma":[0.0016432547,0.0002600918,0.018240804,0.0014140927,0.00012238306,0.000085342814,0.00026925275,0.9665286,0.0019078272,0.0000037849293,0.009017908,0.0005066689],"about_ca_topic_score_codex":0.000011850464,"about_ca_topic_score_gemma":0.0000047183107,"teacher_disagreement_score":0.052407246,"about_ca_system_score_codex":0.00007988931,"about_ca_system_score_gemma":0.000044532375,"threshold_uncertainty_score":0.9999708},"labels":[],"label_agreement":null},{"id":"W2984216577","doi":"10.1520/jte20180894","title":"Influence of the Bituminous Layer on Temperature and Water Infiltration in Railway Structures of the Bretagne–Pays de la Loire High-Speed Line","year":2019,"lang":"en","type":"article","venue":"Journal of Testing and Evaluation","topic":"Railway Engineering and Dynamics","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":"Stantec (Canada)","funders":"Agence Nationale de la Recherche","keywords":"Ballast; Asphalt; Settlement (finance); Asphalt concrete; Train; Track (disk drive); Geotechnical engineering; Infiltration (HVAC); Durability; Environmental science; Geology; Engineering; Materials science; Composite material; Mechanical engineering; Computer science","score_opus":0.008924011160177632,"score_gpt":0.22804920719243324,"score_spread":0.2191251960322556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984216577","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":[0.9995272,0.00016008083,0.000012982253,0.000058120135,0.000100328994,0.00008487427,0.0000017270254,0.00000520582,0.000049478072],"genre_scores_gemma":[0.9996114,0.000018924671,0.0003094257,0.000010502577,0.00003528247,4.2530263e-7,5.1066445e-7,0.000006886758,0.000006647468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994027,0.000065117485,0.00022555194,0.00004314848,0.00019760519,0.00006587882],"domain_scores_gemma":[0.9995263,0.000168805,0.000092253256,0.00008185241,0.00011620089,0.000014538431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007014417,0.00006723156,0.000110700006,0.00005858561,0.000022100443,0.000018599252,0.000060835107,0.00006597842,0.0000014843679],"category_scores_gemma":[0.0003779552,0.000034924422,0.000019671297,0.00009863551,0.000024393628,0.000084205014,0.000010478788,0.00021847413,9.226602e-8],"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":[0.00000634336,0.0000035911105,0.017499883,0.000046676447,0.0000055343,1.9033152e-7,0.00031060827,0.69038373,0.29074466,0.000012922223,0.0000034197906,0.0009824389],"study_design_scores_gemma":[0.00043282352,0.00007304994,0.64088875,0.00036724095,0.000025068462,0.000043135045,0.000027382977,0.31788638,0.039700635,0.00050713733,0.000002093794,0.00004630856],"about_ca_topic_score_codex":0.000015478949,"about_ca_topic_score_gemma":0.00000385822,"teacher_disagreement_score":0.6233889,"about_ca_system_score_codex":0.000031918677,"about_ca_system_score_gemma":0.000027983524,"threshold_uncertainty_score":0.14241765},"labels":[],"label_agreement":null},{"id":"W2991836687","doi":"10.1155/2019/1574136","title":"Application of Complex Network Principles to Key Station Identification in Railway Network Efficiency Analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Key (lock); Identification (biology); Reliability (semiconductor); Transport engineering; Betweenness centrality; Computer science; Network planning and design; Engineering; Computer network; Computer security","score_opus":0.0061821022871407175,"score_gpt":0.22370143335744705,"score_spread":0.21751933107030633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991836687","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":[0.5342875,0.00008286599,0.465252,0.000009850603,0.00016785097,0.000142586,0.000008338091,0.000019364072,0.00002961813],"genre_scores_gemma":[0.9762656,0.00007805333,0.023414362,0.0000057445186,0.000061468534,0.000007722115,0.00013849029,0.000017949378,0.000010627939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986034,0.000015197522,0.0008622644,0.00011316322,0.00024253373,0.00016340993],"domain_scores_gemma":[0.999277,0.00005639556,0.0003023788,0.00015157543,0.00016027909,0.00005238264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035405124,0.00010987331,0.00030057257,0.00031706734,0.000016357932,0.000010175816,0.000115629766,0.000051200157,0.000006652983],"category_scores_gemma":[0.000010839166,0.00011801917,0.00010139561,0.0014218396,0.000007489543,0.00023250199,0.0000011792504,0.00011721772,0.0000035557696],"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":[0.000043224107,0.000020314194,0.026315656,0.00006574759,0.00006271532,6.1886396e-7,0.00066678785,0.95648956,0.012617903,0.0006614448,0.000006275378,0.003049753],"study_design_scores_gemma":[0.00027307705,0.00004343678,0.63175666,0.000039653,0.00006932504,3.8948886e-7,0.000073393654,0.3669893,0.00021560522,0.00014317372,0.00030909834,0.00008688604],"about_ca_topic_score_codex":0.000005710079,"about_ca_topic_score_gemma":0.00014994138,"teacher_disagreement_score":0.60544103,"about_ca_system_score_codex":0.00007950447,"about_ca_system_score_gemma":0.000014298634,"threshold_uncertainty_score":0.4812682},"labels":[],"label_agreement":null},{"id":"W2992978478","doi":"","title":"Quantification and comparison of selected material properties for anti-fatigue mats to investigate vibration transmission reduction potential","year":2011,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Laurentian University; University of Guelph","funders":"","keywords":"Vibration; Reduction (mathematics); Stiffness; Structural engineering; Post hoc; Transmission (telecommunications); Compression (physics); Post-hoc analysis; Bonferroni correction; Materials science; Factorial experiment; Composite material; Mathematics; Engineering; Acoustics; Statistics; Orthodontics; Medicine; Geometry; Physics","score_opus":0.032846967607369784,"score_gpt":0.21294648653384374,"score_spread":0.18009951892647397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992978478","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":[0.6653517,0.000026749593,0.3339069,0.000020238615,0.00034808312,0.00019938804,0.00006351442,0.0000677807,0.000015685868],"genre_scores_gemma":[0.98110265,0.000012774397,0.018677974,0.0000042383917,0.000053405227,0.000014894992,0.00009415481,0.000028350281,0.000011534408],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994842,0.0000069131074,0.00019684316,0.00010231213,0.000051945994,0.00015781194],"domain_scores_gemma":[0.9996218,0.0000030306178,0.000022637296,0.000086065294,0.0000875223,0.00017893777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045252615,0.0000960478,0.00012458279,0.00014872238,0.000053025648,0.00002298815,0.000048292648,0.000088904424,0.000004709121],"category_scores_gemma":[0.000019919462,0.00010337102,0.000012076903,0.00012714656,0.000023426903,0.00006991183,0.0000021341755,0.00004690241,8.759811e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010551849,0.0000043784376,0.000027119682,0.00016399538,0.00000836232,2.0654146e-7,0.0007696636,0.22828403,0.7690981,0.0000555307,0.00028783138,0.0012902098],"study_design_scores_gemma":[0.00009776002,0.00005251654,0.009672876,0.000051236228,0.00003085874,0.0000033686545,0.00009250568,0.82603997,0.16374324,0.000031565025,0.000050167713,0.00013390697],"about_ca_topic_score_codex":0.0009631781,"about_ca_topic_score_gemma":0.00016198993,"teacher_disagreement_score":0.6053549,"about_ca_system_score_codex":0.000050338556,"about_ca_system_score_gemma":0.00006078778,"threshold_uncertainty_score":0.42153478},"labels":[],"label_agreement":null},{"id":"W2994594423","doi":"","title":"Relationship Between Railway Ground-Borne Vibration Propagation And Track Elevation – A Field Study","year":2017,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Professional Engineers Ontario","funders":"","keywords":"Elevation (ballistics); Track (disk drive); Vibration; Berm; Ground vibrations; Environmental science; Engineering; Structural engineering; Geotechnical engineering; Acoustics","score_opus":0.019027146817819286,"score_gpt":0.23019217237413883,"score_spread":0.21116502555631955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994594423","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":[0.91231614,0.000022344453,0.08582509,0.00022657857,0.0002912334,0.00028027227,0.000033398668,0.00012693822,0.0008780158],"genre_scores_gemma":[0.99882084,0.0000043540895,0.00070085644,0.000020756237,0.00020656799,0.000014758702,0.00005374322,0.000029195906,0.00014891298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994096,0.000010359697,0.00016505156,0.00013043208,0.00009396672,0.00019057162],"domain_scores_gemma":[0.9993438,0.00009694327,0.000037628703,0.00030088297,0.000042138054,0.00017859107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014209401,0.000117779164,0.000105933934,0.00013141918,0.00032388855,0.00022458243,0.000112489084,0.000117985976,0.0000051937154],"category_scores_gemma":[0.00038292073,0.00013789865,0.000014102698,0.00006337496,0.000018736417,0.00027378168,0.000007854534,0.00018464103,0.000010204369],"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":[0.0000073596175,0.000030179273,0.8014931,0.00027721954,0.000086052234,0.000035810324,0.0021967383,0.16460334,0.0023272214,0.0047012484,0.002152867,0.022088835],"study_design_scores_gemma":[0.00017360048,0.000044182827,0.8258573,0.0000110891315,0.00003396112,0.0000016720417,0.000082720704,0.1733213,0.00001599858,0.00025478852,0.000064340726,0.00013904026],"about_ca_topic_score_codex":0.0020688067,"about_ca_topic_score_gemma":0.006064812,"teacher_disagreement_score":0.08650473,"about_ca_system_score_codex":0.00013839202,"about_ca_system_score_gemma":0.000056209057,"threshold_uncertainty_score":0.56233436},"labels":[],"label_agreement":null},{"id":"W2994606376","doi":"","title":"Comparison of Results From The STEAM Rail Noise Model to Potential Alternatives","year":2019,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Train; Christian ministry; Sound (geography); Transport engineering; Noise (video); Agency (philosophy); Engineering; Computer science; Geography; Acoustics; Political science","score_opus":0.01150216472760793,"score_gpt":0.22410396910475924,"score_spread":0.21260180437715132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994606376","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":[0.88285047,0.00010311514,0.11213978,0.00009696334,0.0007633883,0.00014288025,0.0016786145,0.000067896086,0.0021568818],"genre_scores_gemma":[0.9963695,0.000013720159,0.002966774,0.00006898254,0.000102067934,0.000002195253,0.000062185216,0.000033390224,0.00038117517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992841,0.000006195433,0.00021561683,0.00012319208,0.00012722137,0.00024366447],"domain_scores_gemma":[0.9993049,0.00006719533,0.000022779059,0.00033638155,0.00004395706,0.00022480424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005834534,0.0001210559,0.00016935766,0.00007267607,0.00002767278,0.000022082611,0.00026314717,0.000068949594,0.00001114225],"category_scores_gemma":[0.000054692846,0.00011038881,0.00003582801,0.0001007759,0.000016748736,0.000032060863,0.00001631697,0.00016132319,0.000054795],"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":[0.0000061079018,0.0000035163353,0.00019831248,0.000009812585,0.000024513132,0.000001924154,0.00082327565,0.9788395,0.013789017,0.000057014728,0.0055463198,0.0007006442],"study_design_scores_gemma":[0.00021694445,0.000015330834,0.004157537,0.000026125224,0.000017233195,3.8740427e-7,0.00022240428,0.9944301,0.00022472735,0.00004286989,0.0005125906,0.00013372778],"about_ca_topic_score_codex":0.0056239055,"about_ca_topic_score_gemma":0.0034389333,"teacher_disagreement_score":0.11351903,"about_ca_system_score_codex":0.000121028155,"about_ca_system_score_gemma":0.00008359445,"threshold_uncertainty_score":0.85017},"labels":[],"label_agreement":null},{"id":"W2995750480","doi":"","title":"Mud pumping under railtracks: mechanisms, assessments and solutions","year":2019,"lang":"en","type":"article","venue":"Research Online (University of Wollongong)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Environmental science; Computer science","score_opus":0.040970918343809316,"score_gpt":0.28945508078935306,"score_spread":0.24848416244554375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995750480","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":[0.9194863,0.0001861272,0.07726294,0.00026592374,0.00013604577,0.00019998237,0.00009088797,0.00019137452,0.002180439],"genre_scores_gemma":[0.98608655,0.0005579066,0.011343459,0.0000045320994,0.000023086222,2.716596e-7,0.00004890648,0.000025690071,0.0019095781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892604,0.000040983112,0.00008947387,0.00019488981,0.0003403146,0.00040830323],"domain_scores_gemma":[0.9993583,0.00011254163,0.0000170812,0.00026377235,0.000109155495,0.00013917628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040230821,0.00010807422,0.00018393112,0.00027467668,0.00013637992,0.000022071572,0.00023653713,0.00010896718,0.00009204284],"category_scores_gemma":[0.00001747925,0.00014000642,0.00005263754,0.00038789996,0.00007941192,0.00024097161,0.00015366734,0.00040120372,0.000041743544],"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":[0.0001302365,0.0006557823,0.0037207557,0.0018345839,0.0011071068,0.00012059241,0.0019134465,0.6823706,0.18164767,0.096228614,0.003044828,0.027225787],"study_design_scores_gemma":[0.0009739921,0.00015380004,0.021955438,0.00015114361,0.000022874086,0.000011510478,0.005067945,0.9669299,0.00016701432,0.0021112731,0.0021434622,0.0003116599],"about_ca_topic_score_codex":0.00012051777,"about_ca_topic_score_gemma":0.00013742519,"teacher_disagreement_score":0.2845593,"about_ca_system_score_codex":0.00011742437,"about_ca_system_score_gemma":0.00005190202,"threshold_uncertainty_score":0.5709296},"labels":[],"label_agreement":null},{"id":"W2998775666","doi":"10.1177/1077546319894816","title":"Vehicle–track interaction with consideration of rail irregularities at three-dimensional space","year":2020,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":14,"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 British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Track (disk drive); Contact force; Contact mechanics; Multibody system; Constraint (computer-aided design); Engineering; Vehicle dynamics; Coupling (piping); Computer science; Structural engineering; Mechanical engineering; Automotive engineering; Classical mechanics; Finite element method; Physics","score_opus":0.006516838333922169,"score_gpt":0.17871779199977436,"score_spread":0.1722009536658522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998775666","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":[0.7976258,0.00038009576,0.19999334,0.0016665378,0.00014343695,0.00006273381,0.000005983891,0.000029785702,0.000092330396],"genre_scores_gemma":[0.99846154,0.000016153543,0.0012841357,0.00012141047,0.000094978735,7.7536737e-7,0.0000023152659,0.000009466625,0.000009196661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954337,0.000011281997,0.00022115682,0.00004302583,0.00012712574,0.00005406756],"domain_scores_gemma":[0.99966854,0.00005546591,0.0000935444,0.00003223636,0.00009242854,0.000057796293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059737005,0.000070768154,0.00015412224,0.00004158595,0.000025795925,0.000025563437,0.000020627349,0.000036423,0.00001830926],"category_scores_gemma":[0.000023225468,0.0000584242,0.000031190328,0.00004083137,0.00001863217,0.00023904852,0.00000321624,0.00010559798,9.879122e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003399504,0.000012899241,0.0011981667,0.00006818438,0.00011127678,0.000008256491,0.00031524597,0.8551089,0.14052792,0.00064541696,0.0004585808,0.0012051697],"study_design_scores_gemma":[0.0014469224,0.00026696787,0.005037753,0.000052433184,0.000038085884,0.00007177081,0.00006760067,0.98464,0.007979113,0.00005818412,0.000262766,0.00007840229],"about_ca_topic_score_codex":0.0000013264143,"about_ca_topic_score_gemma":0.000015425005,"teacher_disagreement_score":0.20083581,"about_ca_system_score_codex":0.0000191783,"about_ca_system_score_gemma":0.000016977392,"threshold_uncertainty_score":0.23824698},"labels":[],"label_agreement":null},{"id":"W2998886186","doi":"10.1061/jtepbs.0000311","title":"Relationship between Twist, Jerk, and Speed: Twist-Tolerance Values and Measuring Chords","year":2020,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Twist; Chord (peer-to-peer); Jerk; Kinematics; Structural engineering; Track (disk drive); Mathematics; Engineering; Computer science; Control theory (sociology); Physics; Geometry; Mechanical engineering; Classical mechanics; Artificial intelligence","score_opus":0.028217012754236447,"score_gpt":0.2113203728219106,"score_spread":0.18310336006767416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998886186","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":[0.8924786,0.003752632,0.10263108,0.000069202615,0.00066470157,0.000118106545,0.000043877644,0.00020191177,0.000039908522],"genre_scores_gemma":[0.9979093,0.00011094076,0.0012806831,0.0000056286895,0.00060317904,0.0000030848419,0.000012718924,0.000056568366,0.000017905164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869037,0.000014317278,0.0006867159,0.00013476693,0.00027645528,0.00019737388],"domain_scores_gemma":[0.99932474,0.00013445731,0.00011644151,0.00008804695,0.00007310812,0.00026320879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028584068,0.0002187689,0.0004098236,0.00014403422,0.000038658407,0.00007112933,0.00009178715,0.00010327728,0.0000011249949],"category_scores_gemma":[0.00005907032,0.00023069404,0.00006953177,0.00020334839,0.000017431747,0.00029852526,0.0000023013954,0.00035466583,0.000001510808],"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":[0.000006714474,0.0000030204885,0.06698062,0.0009317983,0.000063803906,0.000014104639,0.0013199932,0.9297188,0.00064658944,0.00014617505,0.0000856051,0.000082779654],"study_design_scores_gemma":[0.0008703458,0.00010414367,0.3918321,0.0006397246,0.00015168442,0.000051830575,0.00019645017,0.6014107,0.00020759657,0.000017838804,0.004046092,0.00047149003],"about_ca_topic_score_codex":0.0000035592147,"about_ca_topic_score_gemma":8.2338454e-7,"teacher_disagreement_score":0.3283081,"about_ca_system_score_codex":0.000038936058,"about_ca_system_score_gemma":0.000013617871,"threshold_uncertainty_score":0.940743},"labels":[],"label_agreement":null},{"id":"W3000083498","doi":"10.1061/9780784482124.011","title":"Nonlinear Dynamic Analysis of Track Embankments for High-Speed Trains","year":2019,"lang":"en","type":"article","venue":"Geo-Congress 2019","topic":"Railway Engineering and Dynamics","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":"Arup Group (Canada)","funders":"","keywords":"Train; Track (disk drive); Nonlinear system; Computer science; Geotechnical engineering; Geology; Physics","score_opus":0.0049133217733839185,"score_gpt":0.21827241319267832,"score_spread":0.2133590914192944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000083498","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":[0.9827424,0.0002432099,0.013439444,0.00001908796,0.0014314215,0.00037264999,0.0010683455,0.00024726565,0.00043612003],"genre_scores_gemma":[0.99329084,0.00007281001,0.0033268027,0.0000127190915,0.00004187821,0.000011848917,0.0006159899,0.000070398586,0.002556708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880403,0.000008658514,0.0003699615,0.0002541504,0.00018773685,0.0003754589],"domain_scores_gemma":[0.99920934,0.00008761842,0.000067125955,0.00048189008,0.00007489814,0.00007909345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013407979,0.00023595599,0.00054849085,0.00038673522,0.000021613821,0.000024880183,0.00025620748,0.00015743641,0.00010823774],"category_scores_gemma":[0.000016429543,0.00024205225,0.00025574735,0.00046855092,0.000023824276,0.00011592753,0.000019452344,0.00013325355,0.00007354337],"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":[0.000024989407,0.000050146427,0.0009871969,0.00020943895,0.0014163791,0.0000015417814,0.00016990362,0.9826143,0.01136231,0.00021976032,0.00026138872,0.0026826598],"study_design_scores_gemma":[0.00084255176,0.00006228205,0.008902852,0.000029389093,0.0004359228,8.213763e-7,0.000032752898,0.98689854,0.0014124035,0.000040602477,0.0010500675,0.0002918302],"about_ca_topic_score_codex":0.000026761481,"about_ca_topic_score_gemma":0.000036734735,"teacher_disagreement_score":0.0105483895,"about_ca_system_score_codex":0.00006282357,"about_ca_system_score_gemma":0.000015210587,"threshold_uncertainty_score":0.9870604},"labels":[],"label_agreement":null},{"id":"W3001634076","doi":"10.1080/17515831.2020.1720379","title":"Improved modelling of trains braking under low adhesion conditions","year":2020,"lang":"en","type":"article","venue":"Tribology - Materials Surfaces & Interfaces","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dynamic braking; Train; Braking system; Creep; Automotive engineering; Brake; Computer science; Integrator; Adhesion; Engineering; Materials science","score_opus":0.02626399143725651,"score_gpt":0.22950985649214473,"score_spread":0.20324586505488823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001634076","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":[0.93847376,0.00036402457,0.058883697,0.00013996525,0.00082672416,0.00018258084,0.00033690364,0.0005455471,0.00024680753],"genre_scores_gemma":[0.9976978,0.00014649496,0.0018440554,0.000048861093,0.000074434734,0.0000135977525,0.00007950651,0.000066591965,0.000028660257],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864215,0.000054292643,0.00057227863,0.00026605898,0.00010171644,0.00036352145],"domain_scores_gemma":[0.9994464,0.000113159156,0.000103393664,0.00019139159,0.00004931938,0.0000963172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014488083,0.00028711348,0.000544412,0.000084975574,0.00005348578,0.000043945853,0.00025991222,0.0002111234,0.0003208854],"category_scores_gemma":[0.000024037838,0.00028777652,0.00006305074,0.00014624647,0.00009813332,0.00017688854,0.00005127379,0.00016416635,0.000038206574],"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":[0.000024112047,0.000009616689,0.00000985772,0.0001420755,0.000052776297,0.0000013619535,0.00037903484,0.49399492,0.505162,0.00014294118,0.000058987338,0.000022317741],"study_design_scores_gemma":[0.00033493206,0.0001014348,0.00007548604,0.00006558497,0.000032009575,0.000005035478,0.00022062972,0.41895422,0.5797981,0.00013812071,0.000046037243,0.00022841155],"about_ca_topic_score_codex":0.000029539257,"about_ca_topic_score_gemma":0.000006181283,"teacher_disagreement_score":0.07504068,"about_ca_system_score_codex":0.000035359135,"about_ca_system_score_gemma":0.00001978675,"threshold_uncertainty_score":0.99995744},"labels":[],"label_agreement":null},{"id":"W3004903729","doi":"10.22215/etd/2016-11339","title":"Hopper Railcars: A Preliminary Study on the Use of Fibre Reinforced Polymers in Structural Components","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Greenhouse gas; Aramid; Epoxy; Carbon fibers; Materials science; Government (linguistics); Engineering; Mechanical engineering; Composite material; Environmental science","score_opus":0.01848013284239665,"score_gpt":0.22703337113848188,"score_spread":0.20855323829608524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004903729","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":[0.9958888,0.000046211753,0.0000635091,0.00001151225,0.0006090704,0.0005080826,0.000043575244,0.00014479648,0.0026844388],"genre_scores_gemma":[0.9916719,0.000013987593,0.00004817421,0.000008154522,0.0000278121,0.000034441153,0.00020883043,0.00007267972,0.007913993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989735,0.000023561986,0.0003634487,0.00017387021,0.00024268578,0.00022295433],"domain_scores_gemma":[0.99930626,0.00017970552,0.000056714114,0.00039243168,0.000026060712,0.00003885273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052892497,0.0003076115,0.00031256405,0.00022398212,0.00002539548,0.000025063042,0.00021195837,0.00017841603,0.000089730165],"category_scores_gemma":[0.0000315818,0.00019476535,0.00008944346,0.0001356682,0.000013039701,0.00010259655,0.000014446253,0.00027494738,0.000009403636],"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":[0.00089158234,0.000065810025,0.0017600658,0.00064899266,0.00067666615,0.00004443622,0.0097786095,0.9627076,0.012230825,0.0010441759,0.0010238074,0.009127426],"study_design_scores_gemma":[0.0022701125,0.0008767756,0.29123482,0.0018035874,0.00012156864,0.000007499188,0.0049782833,0.6943582,0.0026207848,0.000021908663,0.00030301017,0.0014034424],"about_ca_topic_score_codex":0.000110613415,"about_ca_topic_score_gemma":0.00003841332,"teacher_disagreement_score":0.28947476,"about_ca_system_score_codex":0.000062995816,"about_ca_system_score_gemma":0.000014015806,"threshold_uncertainty_score":0.79423004},"labels":[],"label_agreement":null},{"id":"W3009959647","doi":"10.1007/s12205-020-0671-4","title":"Mitigation of Temperature-Induced Curling of Concrete Roadbed along High-Speed Railway: In situ Experiment and Numerical Simulation","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Curling; Geotechnical engineering; Environmental science; Engineering; Structural engineering; Mechanical engineering","score_opus":0.008023657691169153,"score_gpt":0.2137402184752827,"score_spread":0.20571656078411354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009959647","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":[0.9516007,0.0008399712,0.0470173,0.000040188246,0.00031699875,0.00009298492,0.0000037539162,0.00005420058,0.000033945915],"genre_scores_gemma":[0.99665666,0.000050348764,0.0030965777,0.000006829713,0.00013806939,0.0000011344453,0.000003654187,0.000045900026,8.2485514e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986275,0.000017053586,0.0007815751,0.00011335731,0.00026978747,0.00019074563],"domain_scores_gemma":[0.99936944,0.00012959013,0.0001650969,0.00009859549,0.00009907638,0.00013820312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020886814,0.00020212798,0.0005157201,0.00022053026,0.000011040211,0.000017810042,0.00010873079,0.00012053865,0.000004633717],"category_scores_gemma":[0.00017412679,0.00021573404,0.00008669482,0.00032065282,0.000011962347,0.00023815637,0.000019681744,0.00034971355,3.141285e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015159732,0.0000030299443,0.00013153856,0.0001316517,0.000031831685,0.000006656277,0.0006691218,0.5492975,0.44955868,0.000034133544,0.0000031217153,0.000117567295],"study_design_scores_gemma":[0.0008413647,0.000117301504,0.0024632209,0.0003093081,0.000021594004,0.0000115924595,0.00009182455,0.83500016,0.16094755,0.0000054192187,0.000021666412,0.00016899579],"about_ca_topic_score_codex":0.000005614691,"about_ca_topic_score_gemma":0.0000019660831,"teacher_disagreement_score":0.2886111,"about_ca_system_score_codex":0.00007183214,"about_ca_system_score_gemma":0.00002331534,"threshold_uncertainty_score":0.87973785},"labels":[],"label_agreement":null},{"id":"W3016756842","doi":"10.1142/s0219455420400143","title":"Pseudodynamic Hybrid Simulation of High-Speed Railway Bridge-Track System with Rotational Friction Damper","year":2020,"lang":"en","type":"article","venue":"International Journal of Structural Stability and Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":15,"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 British Columbia","funders":"National Natural Science Foundation of China","keywords":"Substructure; Clamping; Structural engineering; Damper; Bridge (graph theory); Track (disk drive); Engineering; Nonlinear system; Mechanical engineering; Physics","score_opus":0.008174033637131064,"score_gpt":0.21119110698555443,"score_spread":0.20301707334842337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016756842","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":[0.78119445,0.000049310493,0.21778889,0.0001150235,0.00047719,0.00007143927,0.00021487074,0.000053129756,0.00003567497],"genre_scores_gemma":[0.9966245,0.000017364646,0.0030583777,0.0000124978515,0.00018504866,6.3163026e-7,0.00007793332,0.000022194909,0.0000014091901],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869156,0.000023086926,0.00056097563,0.000137456,0.00046478445,0.00012216218],"domain_scores_gemma":[0.9989717,0.000119226504,0.00021423597,0.00007936435,0.0005034318,0.000112051726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118851676,0.0001732996,0.00027602175,0.000094557174,0.000035071793,0.000050360497,0.00018346781,0.000059673952,0.000018613844],"category_scores_gemma":[0.000050960407,0.00014881567,0.00007837337,0.00010161892,0.000064129184,0.00038990696,0.000022651664,0.00020258238,7.444657e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020721479,0.000007978038,0.0036484757,0.00012550192,0.00013544966,0.000012166177,0.00025540384,0.99015784,0.0018356836,0.0014476402,0.000002399824,0.002164231],"study_design_scores_gemma":[0.0006809599,0.00011637533,0.048462197,0.00005937308,0.00003079828,0.00014659077,0.00014501835,0.9495686,0.0004204947,0.00022344559,0.0000050402264,0.00014109608],"about_ca_topic_score_codex":0.000027078175,"about_ca_topic_score_gemma":0.00001743132,"teacher_disagreement_score":0.21543007,"about_ca_system_score_codex":0.00029593788,"about_ca_system_score_gemma":0.000036942096,"threshold_uncertainty_score":0.60685265},"labels":[],"label_agreement":null},{"id":"W3033562138","doi":"10.21062/ujep/x.2013/a/1213-2489/mt/13/4/486","title":"The FASTSIM Method Modification to Speed up the Calculation of Tangential Contact Stresses between Wheel and Rail","year":2013,"lang":"en","type":"article","venue":"MANUFACTURING TECHNOLOGY","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computation; Contact patch; Track (disk drive); Mechanical engineering; Structural engineering; Contact mechanics; Computer science; Engineering; Mechanics; Geometry; Materials science; Mathematics; Physics; Algorithm; Composite material; Finite element method","score_opus":0.010571922408240274,"score_gpt":0.23776165447066816,"score_spread":0.22718973206242787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033562138","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":[0.84998834,0.00012253431,0.14834893,0.00070320256,0.00015907125,0.00025443846,0.0000071860304,0.00030454906,0.00011176925],"genre_scores_gemma":[0.99713206,0.000033851462,0.002643144,0.000005007312,0.000041507,0.000027659506,0.0000058062183,0.000021439517,0.00008949396],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993793,0.000015514705,0.00019437201,0.00012895228,0.00008748819,0.00019439113],"domain_scores_gemma":[0.9994314,0.00013821397,0.00003775981,0.00033494976,0.00002723478,0.000030468394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012329704,0.00012234472,0.00014275817,0.00016063024,0.000090799585,0.000039279235,0.00022925399,0.0001275539,0.000004563537],"category_scores_gemma":[0.000044151337,0.00008250564,0.000025596772,0.00013380378,0.00004143704,0.000053159405,0.00006197857,0.0001737047,0.000010067726],"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":[0.000011492024,0.000011583476,0.0028158908,0.00013546404,0.00026388798,9.62185e-7,0.0007674662,0.40345177,0.061878838,0.0062649352,0.0008514589,0.5235463],"study_design_scores_gemma":[0.00044834553,0.0000799946,0.12698968,0.000045895427,0.000069988855,0.000009465252,0.000496284,0.32995412,0.5291308,0.004033793,0.008354849,0.00038673985],"about_ca_topic_score_codex":0.000060919367,"about_ca_topic_score_gemma":0.000015113413,"teacher_disagreement_score":0.5231595,"about_ca_system_score_codex":0.00002993312,"about_ca_system_score_gemma":0.0000036047702,"threshold_uncertainty_score":0.33644825},"labels":[],"label_agreement":null},{"id":"W3033836532","doi":"10.21062/ujep/x.2013/a/1213-2489/mt/13/4/444","title":"The Test Stand Load Modulus Implementation for the Realistic Railway Operation in the Laboratory Conditions","year":2013,"lang":"en","type":"article","venue":"MANUFACTURING TECHNOLOGY","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":29,"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":"Brake; Frame (networking); Automotive engineering; Load testing; Engineering; Test (biology); Heavy load; Computer science; Simulation; Structural engineering; Mechanical engineering","score_opus":0.005455909096951764,"score_gpt":0.2297348486746634,"score_spread":0.22427893957771164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033836532","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":[0.8922213,0.00116149,0.08891174,0.0118023,0.0010098068,0.002753383,0.00030360033,0.0012763615,0.0005600423],"genre_scores_gemma":[0.99846596,0.00012241592,0.00037698552,0.000045356395,0.000047602694,0.00084436743,0.00001941766,0.000022342636,0.00005558514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932885,0.000013382969,0.00019169877,0.00011344624,0.000095852316,0.00025674974],"domain_scores_gemma":[0.99907696,0.00047954233,0.000025249501,0.00036706214,0.000037883885,0.000013300374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025547578,0.00012010131,0.00008176758,0.000095747404,0.00029374188,0.00010866573,0.00032102366,0.00008955818,0.000012670388],"category_scores_gemma":[0.00010548866,0.00006884314,0.000022431188,0.00016305537,0.000073760944,0.00008211802,0.000023437817,0.00021989443,0.000015861446],"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":[0.000007357014,0.00004541254,0.0007087977,0.00012925951,0.0001156886,0.000005617046,0.0012871829,0.8745339,0.008479606,0.02971653,0.029218642,0.055752005],"study_design_scores_gemma":[0.0015151354,0.0001812538,0.030056022,0.000040429233,0.00006940336,0.000028582777,0.0061967103,0.8062809,0.037851404,0.026414275,0.090763524,0.0006023297],"about_ca_topic_score_codex":0.000053089192,"about_ca_topic_score_gemma":0.00035122622,"teacher_disagreement_score":0.10624465,"about_ca_system_score_codex":0.00012518316,"about_ca_system_score_gemma":0.000020897834,"threshold_uncertainty_score":0.28073415},"labels":[],"label_agreement":null},{"id":"W3036018707","doi":"10.3390/vibration3020012","title":"Continuous Evaluation of Track Modulus from a Moving Railcar Using ANN-Based Techniques","year":2020,"lang":"en","type":"article","venue":"Vibration","topic":"Railway Engineering and Dynamics","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":"University of Alberta","funders":"","keywords":"Track (disk drive); Deflection (physics); Stiffness; Artificial neural network; Modulus; Finite element method; Structural engineering; Computer science; Simulation; Algorithm; Engineering; Mathematics; Mechanical engineering; Artificial intelligence; Optics; Physics; Geometry","score_opus":0.02410472570562922,"score_gpt":0.23353444128685155,"score_spread":0.20942971558122234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036018707","genre_codex":"methods","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":[0.4770886,0.000088122586,0.5220246,0.000025829684,0.000078748555,0.00013118282,0.000021357984,0.00031149734,0.00023013],"genre_scores_gemma":[0.97560245,0.0000028587324,0.024157882,0.000028305418,0.00010324097,0.000010026698,0.00006769467,0.000026748774,7.976587e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936754,0.000025287358,0.0001967583,0.00011112624,0.00021257429,0.00008674384],"domain_scores_gemma":[0.99971616,0.000020827518,0.00003884038,0.00010811554,0.000079055186,0.000036986556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013782144,0.000095058334,0.00013060344,0.00005340186,0.000018127454,0.00002184531,0.000053514636,0.000073417024,0.00001742566],"category_scores_gemma":[0.000051911633,0.000108778055,0.000036797126,0.00015239723,0.00000856851,0.00015156274,0.0000049727996,0.00007042098,0.0000021181659],"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":[0.0000037645207,0.0000041058934,0.00007956804,0.000022496539,0.000008304067,2.698188e-7,0.0001840304,0.6856611,0.30572718,0.000013280576,0.000020888278,0.008275026],"study_design_scores_gemma":[0.00017743056,0.000021287608,0.00045663244,0.000028588149,0.00003149707,1.6586284e-7,0.000025275267,0.82714367,0.17195304,0.000048606118,0.00002508667,0.00008871994],"about_ca_topic_score_codex":0.000028006574,"about_ca_topic_score_gemma":0.0000032887788,"teacher_disagreement_score":0.49851385,"about_ca_system_score_codex":0.000060122435,"about_ca_system_score_gemma":0.000029493707,"threshold_uncertainty_score":0.44358402},"labels":[],"label_agreement":null},{"id":"W3037646604","doi":"10.1155/2020/5896739","title":"Forecasting Urban Rail Transit Vehicle Interior Noise and Its Applications in Railway Alignment Design","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Track (disk drive); Noise (video); Computer science; Urban rail transit; Field (mathematics); Rail transit; Engineering; Simulation; Transport engineering; Artificial intelligence","score_opus":0.013750930654515336,"score_gpt":0.20689618019663344,"score_spread":0.19314524954211812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037646604","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":[0.5997254,0.0005953744,0.3993456,0.0000814439,0.000058734782,0.00013969526,0.000008608117,0.000033985387,0.000011157305],"genre_scores_gemma":[0.98872006,0.00020489098,0.010954014,0.000019590208,0.000054479857,0.000011440737,0.000008155497,0.00002464623,0.0000027470064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928236,0.00000808904,0.0003954681,0.00008471114,0.00010982762,0.00011952722],"domain_scores_gemma":[0.9997028,0.000049496815,0.000068932975,0.000037471276,0.00003956038,0.000101701524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008295931,0.00011083802,0.00017871754,0.00006028865,0.000019626948,0.000011501835,0.00006178206,0.000039970786,0.0000030313838],"category_scores_gemma":[0.000011729301,0.000113241185,0.000043815777,0.00016882397,0.000006854783,0.000263958,7.022415e-7,0.00015979946,5.453092e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004410337,0.000008142978,0.00027076455,0.00010209606,0.000015482925,0.000011843005,0.0034512177,0.9240979,0.06845874,0.00005156813,0.000005728632,0.0034824274],"study_design_scores_gemma":[0.003082068,0.00037237583,0.029894842,0.0003127717,0.00009331876,0.000017012324,0.0013080696,0.9344069,0.028527878,0.00021040652,0.0013347347,0.00043966214],"about_ca_topic_score_codex":3.6305426e-7,"about_ca_topic_score_gemma":0.000004613609,"teacher_disagreement_score":0.38899463,"about_ca_system_score_codex":0.00003749588,"about_ca_system_score_gemma":0.000010825585,"threshold_uncertainty_score":0.46178415},"labels":[],"label_agreement":null},{"id":"W3043845002","doi":"10.1115/jrc2020-8060","title":"Optimization of Railroad Bearing Health Monitoring System for Wireless Utilization","year":2020,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bearing (navigation); Vibration; ALARM; Accelerometer; Computer science; Detector; Derailment; Automotive engineering; Engineering; Real-time computing; Acoustics; Structural engineering; Artificial intelligence; Electrical engineering; Mechanical engineering; Telecommunications; Physics","score_opus":0.02999652852576957,"score_gpt":0.24048417604586284,"score_spread":0.21048764752009327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043845002","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019639289,0.00016979508,0.97863764,0.00003921308,0.00031710434,0.00017812097,0.000010154009,0.0006682002,0.00034049936],"genre_scores_gemma":[0.9661996,0.000055245964,0.033555146,0.0000052044506,0.00010477144,0.00001309418,0.000021537558,0.000036046076,0.000009346425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946845,0.0000045679885,0.00022298914,0.000093038856,0.00007602024,0.00013496273],"domain_scores_gemma":[0.9997646,0.000019640624,0.000029887939,0.000077568875,0.000036890546,0.000071405135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000643662,0.00008562467,0.00015824262,0.000027382253,0.000027931803,0.000013123895,0.000060904447,0.000041486495,0.0000013860529],"category_scores_gemma":[0.000012039255,0.00009405181,0.000033351007,0.00015065889,0.0000038861235,0.00007352374,0.000008294203,0.000042314707,9.2419594e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030960787,0.0000021490941,0.00016090585,0.0009461349,0.000012190046,8.212182e-8,0.00021910129,0.992397,0.0006599922,0.00051051815,0.00002471478,0.0050640907],"study_design_scores_gemma":[0.00018412157,0.000028396524,0.00007347912,0.000079492456,0.000004395073,4.906192e-7,0.00020937242,0.9934019,0.005873618,7.39039e-7,0.0000668187,0.000077173005],"about_ca_topic_score_codex":0.0000073465976,"about_ca_topic_score_gemma":4.5123465e-7,"teacher_disagreement_score":0.9465603,"about_ca_system_score_codex":0.00006249781,"about_ca_system_score_gemma":0.000009481834,"threshold_uncertainty_score":0.38353214},"labels":[],"label_agreement":null},{"id":"W3044493108","doi":"10.1115/jrc2020-8093","title":"Evaluating Passenger Railway Ride Quality Over Long Distances Using Smartphones","year":2020,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"National Research Council Canada; University of Alberta","funders":"","keywords":"Ride quality; Quality (philosophy); Transport engineering; Computer science; Plan (archaeology); Automotive engineering; Engineering","score_opus":0.06605379699014179,"score_gpt":0.32518312466508686,"score_spread":0.25912932767494506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044493108","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":[0.7958105,0.0003343469,0.19985153,0.00007937699,0.0004262463,0.000088881636,0.0000143912175,0.00085345266,0.0025412515],"genre_scores_gemma":[0.9869959,0.000020754462,0.012443381,0.000100218924,0.00026669464,0.0000055883884,0.000011008827,0.000055413842,0.000101055026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882,0.000031050906,0.00033914074,0.0002307166,0.00026845565,0.0003106124],"domain_scores_gemma":[0.9994712,0.00011634804,0.000032292686,0.00019742435,0.00003278073,0.0001499948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024549916,0.00021499238,0.00025182407,0.000035156125,0.000063765125,0.00007172016,0.00013075804,0.00007449679,0.00020161753],"category_scores_gemma":[0.00011903183,0.0002056486,0.00008777674,0.0002388533,0.000022499238,0.0001968803,0.000032294047,0.0001874477,0.000033802404],"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":[0.000009973411,0.000008076157,0.0048570284,0.00022721528,0.000057678462,0.0000075704534,0.0004462902,0.96741235,0.02098657,0.0005422085,0.0002704282,0.0051746215],"study_design_scores_gemma":[0.00025582153,0.000015526335,0.01280996,0.00002583752,0.000017559492,0.0000020158527,0.000090093294,0.98436934,0.0014968631,0.00005490374,0.0005338518,0.00032821865],"about_ca_topic_score_codex":0.000038075665,"about_ca_topic_score_gemma":0.000036573234,"teacher_disagreement_score":0.19118536,"about_ca_system_score_codex":0.00006672749,"about_ca_system_score_gemma":0.000016514958,"threshold_uncertainty_score":0.8386106},"labels":[],"label_agreement":null},{"id":"W3045250799","doi":"10.1016/j.soildyn.2020.106293","title":"Static and cyclic characterization of fouled railroad sub-ballast layer behaviour","year":2020,"lang":"en","type":"article","venue":"Soil Dynamics and Earthquake Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Ballast; Characterization (materials science); Layer (electronics); Geology; Structural engineering; Geotechnical engineering; Forensic engineering; Engineering; Materials science; Composite material; Electrical engineering; Nanotechnology","score_opus":0.00520641024915992,"score_gpt":0.16625360695095018,"score_spread":0.16104719670179027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045250799","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":[0.92707443,0.00011979413,0.07197429,0.00010030478,0.00017219153,0.000109795896,0.00009734017,0.00030076603,0.00005107868],"genre_scores_gemma":[0.9986119,0.00042068356,0.0006792443,0.000026306434,0.00005906085,0.00000879551,0.000105025,0.00007467996,0.000014264278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990931,0.0000066455245,0.0002961779,0.00020278103,0.0001269078,0.00027439842],"domain_scores_gemma":[0.99954545,0.0000319129,0.00003544079,0.0001269111,0.000027929753,0.00023233792],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007254945,0.00024570443,0.00029870594,0.00010245051,0.000031042895,0.000048415102,0.00007199923,0.00010541752,0.0000044108538],"category_scores_gemma":[0.00003475337,0.00028125526,0.000044181015,0.00019416385,0.000024466815,0.00013809933,0.00003514587,0.00020530791,0.0000027271194],"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":[0.000011789605,0.000015368247,0.0063961553,0.00085101544,0.00009333282,0.000013113177,0.00074813096,0.89349085,0.08060453,0.0014557809,0.000008229323,0.016311727],"study_design_scores_gemma":[0.0003115724,0.00004428562,0.08292702,0.000051335905,0.00002551999,0.00000880836,0.000028626957,0.9154912,0.00078681245,0.0000067260958,0.000058471604,0.00025958152],"about_ca_topic_score_codex":0.0000067068504,"about_ca_topic_score_gemma":0.000013064508,"teacher_disagreement_score":0.07981772,"about_ca_system_score_codex":0.000022290846,"about_ca_system_score_gemma":0.000009956055,"threshold_uncertainty_score":0.99996394},"labels":[],"label_agreement":null},{"id":"W3081791544","doi":"10.1061/9780784483176.017","title":"Qualification of Track Parameters Based on a Review of Previous Studies","year":2020,"lang":"en","type":"review","venue":"International Conference on Transportation and Development 2020","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Track (disk drive); Deflection (physics); Computer science; Limiting; Reliability engineering; Range (aeronautics); Engineering; Industrial engineering; Mechanical engineering; Aerospace engineering; Physics","score_opus":0.0882701689829497,"score_gpt":0.33552265103760925,"score_spread":0.24725248205465955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081791544","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":[0.000026329784,0.9934891,0.0046836934,0.00009959507,0.00028999365,0.00043833384,0.00025709165,0.00007894771,0.00063691137],"genre_scores_gemma":[0.0015926787,0.99475306,0.0025337702,0.000058333153,0.000010833893,0.00008231247,0.00092767196,0.0000238641,0.000017451519],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985699,0.00002350769,0.0008199542,0.00020548074,0.0003082139,0.00007295953],"domain_scores_gemma":[0.99937683,0.000108531225,0.00022613144,0.00010195598,0.00013789943,0.000048670696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011518193,0.0002509703,0.0007913867,0.00012800541,0.000010287991,0.000007791924,0.00014526739,0.00007863397,0.000034220524],"category_scores_gemma":[0.00004575303,0.00022418097,0.000110754336,0.00013564454,0.000027065134,0.00003235446,0.0000015334817,0.00014999062,0.000008263688],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001751069,0.000051702802,0.0000062032686,0.13802664,0.00055574917,0.000007094603,0.0005914014,0.0035397424,0.0000032752407,0.002052029,0.0003853272,0.8547633],"study_design_scores_gemma":[0.0005256913,0.00018151749,0.00016628325,0.24152572,0.00042501817,0.0000024163712,0.00011936666,0.017470453,0.00012238848,0.00004266229,0.738584,0.0008345206],"about_ca_topic_score_codex":6.526563e-7,"about_ca_topic_score_gemma":0.000002026777,"teacher_disagreement_score":0.8539288,"about_ca_system_score_codex":0.000054465057,"about_ca_system_score_gemma":0.00013132468,"threshold_uncertainty_score":0.9141835},"labels":[],"label_agreement":null},{"id":"W3082171062","doi":"10.1061/9780784483176.011","title":"Alignment Tolerance of Rail Tracks","year":2020,"lang":"en","type":"article","venue":"International Conference on Transportation and Development 2020","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Track (disk drive); Tangent; Jerk; Computer science; Tolerance analysis; Quality (philosophy); Scope (computer science); Engineering; Engineering drawing; Mechanical engineering; Mathematics; Geometry; Physics; Acceleration","score_opus":0.021000515804413422,"score_gpt":0.22159066884163045,"score_spread":0.20059015303721703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082171062","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":[0.82948536,0.00011429743,0.15102987,0.001999252,0.0006639873,0.00020365523,0.00015486505,0.00033504577,0.01601364],"genre_scores_gemma":[0.99650764,0.00014679291,0.0029977215,0.00015019237,0.000022837014,0.000008788903,0.00011260065,0.000009099623,0.0000443478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943805,0.0000023597054,0.00021539348,0.00010824645,0.00017005274,0.00006588462],"domain_scores_gemma":[0.9998302,0.0000087283415,0.000022986242,0.000030874664,0.00004129221,0.000065925145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002329626,0.000091156886,0.00009674826,0.000026865466,0.000011978607,0.000012989783,0.000073455805,0.000030208716,0.00015583931],"category_scores_gemma":[0.0000032406601,0.000095335985,0.000016468235,0.00004414015,0.000012202434,0.000053696625,0.0000010337674,0.00006296115,0.00001313699],"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":[0.0004150443,0.0002025222,0.016304567,0.0009086254,0.0006480594,0.00008805887,0.035927463,0.6093358,0.06624159,0.12295739,0.0032992556,0.14367166],"study_design_scores_gemma":[0.0028865016,0.00020235246,0.20599335,0.0003289348,0.000024946947,0.0000040468904,0.0012160462,0.6690164,0.06695841,0.00042684554,0.051876545,0.0010656303],"about_ca_topic_score_codex":0.0000010383211,"about_ca_topic_score_gemma":0.000004606245,"teacher_disagreement_score":0.18968879,"about_ca_system_score_codex":0.000012986201,"about_ca_system_score_gemma":0.000021529106,"threshold_uncertainty_score":0.38876888},"labels":[],"label_agreement":null},{"id":"W3082259970","doi":"10.1061/9780784483176.010","title":"Hertzian Contact Stiffness under Eisenmann Assumptions","year":2020,"lang":"en","type":"article","venue":"International Conference on Transportation and Development 2020","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Contact mechanics; Stiffness; Contact force; Mechanics; Deformation (meteorology); Contact theory; Bending stiffness; Contact region; Physics; Classical mechanics; Mathematical analysis; Mathematics; Structural engineering; Engineering; Materials science; Finite element method","score_opus":0.03316604151575657,"score_gpt":0.24162627671747,"score_spread":0.20846023520171342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082259970","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":[0.72383535,0.0000859653,0.24912176,0.0061883535,0.0012787123,0.00029130932,0.00022618896,0.0010083829,0.01796396],"genre_scores_gemma":[0.997806,0.0001093604,0.0011360676,0.00039048409,0.000048573926,0.000016061176,0.00037317528,0.000016829414,0.0001034507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99936295,0.000004001063,0.00019899436,0.00015600868,0.00017674328,0.00010127842],"domain_scores_gemma":[0.9997517,0.000013123844,0.000018971396,0.00004066202,0.000054006923,0.00012155409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023378978,0.00013056044,0.00010551135,0.00004350769,0.00003687708,0.000051288534,0.00008893926,0.000047413498,0.00030412196],"category_scores_gemma":[0.0000033558756,0.00013749818,0.000020052395,0.00006746413,0.000010727142,0.00009781179,0.0000016093379,0.00011828938,0.00007945586],"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":[0.00034172102,0.00020795957,0.012216432,0.0005098241,0.0010751385,0.00015812113,0.019644182,0.46283793,0.030263593,0.33661756,0.0045170537,0.1316105],"study_design_scores_gemma":[0.0016406128,0.00006367426,0.6181266,0.00012851664,0.000017862469,0.0000040237405,0.0014547552,0.3353437,0.001693638,0.00040463172,0.04029975,0.00082226103],"about_ca_topic_score_codex":0.0000022529714,"about_ca_topic_score_gemma":0.00002597737,"teacher_disagreement_score":0.6059101,"about_ca_system_score_codex":0.000028932202,"about_ca_system_score_gemma":0.000038148963,"threshold_uncertainty_score":0.5607013},"labels":[],"label_agreement":null},{"id":"W3083736776","doi":"10.1061/jtepbs.0000450","title":"Lateral Stability of a Ballasted Curved Track","year":2020,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Track (disk drive); Structural engineering; Stability (learning theory); Geology; Engineering; Computer science; Mechanical engineering","score_opus":0.015282788485719182,"score_gpt":0.19147277008885003,"score_spread":0.17618998160313085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083736776","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":[0.880936,0.0005765794,0.116875,0.000030180181,0.001160328,0.00011935758,0.000094086296,0.00017288468,0.000035550303],"genre_scores_gemma":[0.99875885,0.00004147366,0.00092539925,0.0000034637828,0.00020229655,0.0000036572328,0.000018365867,0.000043058775,0.0000034145708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984713,0.000013882122,0.0009671969,0.00009077533,0.00027991706,0.00017690637],"domain_scores_gemma":[0.99936134,0.000050039514,0.00015607792,0.00010646872,0.00014620004,0.00017989613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021505203,0.00018002716,0.00045817057,0.00010223544,0.000009585119,0.00001852828,0.00013979342,0.00008833585,0.0000125749775],"category_scores_gemma":[0.000029062174,0.00017850084,0.00016839406,0.00026243247,0.000010284357,0.00019362397,0.0000011336056,0.00023671906,0.000002129959],"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":[0.000022721977,0.000014649263,0.0019699403,0.0009256982,0.00011583829,0.000014541164,0.0011365386,0.9764437,0.019123295,0.00007137146,0.00012056336,0.000041112005],"study_design_scores_gemma":[0.00082044676,0.00016395914,0.01208607,0.00029567446,0.000074340554,0.000019298543,0.00013262477,0.9773185,0.0041729775,0.0000011101348,0.0046515116,0.00026346985],"about_ca_topic_score_codex":0.0000033971492,"about_ca_topic_score_gemma":0.0000018589352,"teacher_disagreement_score":0.11782283,"about_ca_system_score_codex":0.000039345534,"about_ca_system_score_gemma":0.000023336566,"threshold_uncertainty_score":0.7279053},"labels":[],"label_agreement":null},{"id":"W3093844801","doi":"10.1139/tcsme-2020-0132","title":"Dynamic characteristics of a wheelset–track system under corrugation excitations in the metro operation process","year":2020,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Track (disk drive); Amplitude; Vibration; Wavelength; Acceleration; Structural engineering; Action (physics); Force dynamics; Process (computing); Acoustics; Physics; Mechanics; Engineering; Computer science; Optics; Mechanical engineering; Classical mechanics","score_opus":0.009477187640260903,"score_gpt":0.20038161034468685,"score_spread":0.19090442270442595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093844801","genre_codex":"methods","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":[0.09676157,0.000046342266,0.90150005,0.00050435605,0.0002908083,0.0004639705,0.00032011652,0.00009541685,0.000017394173],"genre_scores_gemma":[0.99593514,0.0000087588905,0.0038487127,0.000044812037,0.000019053577,0.000077316625,0.000028343744,0.00003429813,0.0000035705896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992082,0.00000907426,0.00033058308,0.00010736349,0.0001481229,0.00019666823],"domain_scores_gemma":[0.9995621,0.00008936076,0.000036728525,0.0001644426,0.000058968784,0.000088433364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016973763,0.0001300296,0.00018972461,0.000051690316,0.00008491278,0.000020542244,0.00024998188,0.00011769793,0.0000032633386],"category_scores_gemma":[0.000030452067,0.00011181282,0.00023043611,0.00045003876,0.00001753495,0.000095393974,0.0000018409098,0.00024474654,5.1444636e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020892062,0.000006213063,0.0000029458438,0.00054473017,0.000051689232,1.0950222e-7,0.0010649399,0.9928758,0.0029664407,0.0022076252,0.000008983232,0.00026841968],"study_design_scores_gemma":[0.00019721469,0.000023945127,0.0003767315,0.00007012834,0.00006182609,0.000002019954,0.001138335,0.9971525,0.0007977492,0.000030341116,0.000039686078,0.000109512155],"about_ca_topic_score_codex":0.00032403626,"about_ca_topic_score_gemma":0.0033242716,"teacher_disagreement_score":0.89917356,"about_ca_system_score_codex":0.00026969422,"about_ca_system_score_gemma":0.00008914057,"threshold_uncertainty_score":0.45595947},"labels":[],"label_agreement":null},{"id":"W3096075143","doi":"10.1177/1687814020968992","title":"Thermal buckling of ballasted tangent track","year":2014,"lang":"en","type":"article","venue":"Advances in Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Buckling; Tangent; Curvature; Context (archaeology); Critical load; Euler's formula; Structural engineering; Track (disk drive); Potential energy; Mathematics; Engineering; Mathematical analysis; Geometry; Geology; Classical mechanics; Physics; Mechanical engineering","score_opus":0.0033066702580577477,"score_gpt":0.1931991389713581,"score_spread":0.18989246871330034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096075143","genre_codex":"methods","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":[0.2424941,0.001629347,0.75318485,0.000007366379,0.0008650348,0.00010252803,0.0000050777876,0.00050498836,0.0012066797],"genre_scores_gemma":[0.9787929,0.00028868223,0.020730326,0.0000063633865,0.000095036594,0.000015673044,0.0000041216986,0.00005964532,0.000007247169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989285,0.000010240563,0.0003767737,0.00017348657,0.00016849651,0.00034251247],"domain_scores_gemma":[0.99950457,0.00014043707,0.000025050418,0.00022854985,0.000018733112,0.00008263451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021998204,0.00020418529,0.0003027061,0.00013471389,0.000010495862,0.000008577693,0.00020147258,0.00010664546,0.000013276459],"category_scores_gemma":[0.0001157474,0.00021685768,0.00006866251,0.0002784137,0.000013872692,0.00017720008,0.000025960153,0.00026958768,0.0000064052615],"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":[0.0000033487802,0.000010769106,0.000024852525,0.00015122641,0.000008998961,0.0000017020345,0.00003033237,0.93618757,0.045039993,0.006192473,9.840559e-7,0.012347759],"study_design_scores_gemma":[0.00028597025,0.000037319085,0.00014792613,0.00012688371,0.000006121457,0.0000025149172,0.000010480983,0.9840022,0.0122193005,0.00014152555,0.0027895852,0.00023017928],"about_ca_topic_score_codex":0.0000012409304,"about_ca_topic_score_gemma":0.0000039135402,"teacher_disagreement_score":0.7362988,"about_ca_system_score_codex":0.000055575892,"about_ca_system_score_gemma":0.000003869055,"threshold_uncertainty_score":0.8843199},"labels":[],"label_agreement":null},{"id":"W3098198252","doi":"10.11159/iccste20.340","title":"Development of Graphical Computer Software for the Design ofComposite Steel I-Girder Bridges per the Canadian Highway BridgeDesign Code","year":2020,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Institute of Steel Construction","keywords":"Bridge (graph theory); Code (set theory); Software; Structural engineering; Composite number; Computer science; Girder; Engineering; Civil engineering; Programming language","score_opus":0.02189964556412226,"score_gpt":0.20658103500562167,"score_spread":0.1846813894414994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098198252","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":[0.6945107,0.00008011899,0.30154616,0.0023088483,0.00057264254,0.0005618195,0.00022670579,0.00014014596,0.00005287341],"genre_scores_gemma":[0.98587483,0.000023359637,0.013916777,0.00005586121,0.000061969346,0.000025118297,0.000016037626,0.000020645968,0.000005390921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992185,0.0000016373518,0.00026909163,0.0001335484,0.00023302592,0.00014414672],"domain_scores_gemma":[0.9995261,0.00008342134,0.000057159323,0.000045985485,0.0002219481,0.00006540124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009509104,0.00016269612,0.00013910265,0.0000719662,0.000117388656,0.00005957621,0.00036084274,0.000050006653,0.0000063261473],"category_scores_gemma":[0.00001998107,0.00009932931,0.00005804835,0.00013498517,0.00004381155,0.00009022965,0.000008001543,0.00017167407,2.3651022e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004418395,0.0000039611623,0.001411156,0.00026306254,0.00024261381,2.6514155e-7,0.00255494,0.9404487,0.02304649,0.02990999,0.00018543875,0.0018892167],"study_design_scores_gemma":[0.00021742765,0.000023888098,0.08373955,0.00008646506,0.00002972412,0.0000024018323,0.000075006275,0.9068083,0.00827621,0.000091058566,0.00050292094,0.00014700531],"about_ca_topic_score_codex":0.000102208534,"about_ca_topic_score_gemma":0.0008153158,"teacher_disagreement_score":0.29136416,"about_ca_system_score_codex":0.000026973297,"about_ca_system_score_gemma":0.000035452515,"threshold_uncertainty_score":0.40505317},"labels":[],"label_agreement":null},{"id":"W3098717450","doi":"10.1029/2020sw002609","title":"Modeling Geomagnetic Interference on Railway Signaling Track Circuits","year":2020,"lang":"en","type":"article","venue":"Space Weather","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Track circuit; Ballast; Earth's magnetic field; Geomagnetically induced current; Electronic circuit; Electrical engineering; Track (disk drive); Equivalent circuit; Relay; Engineering; Electrical impedance; Admittance; SIGNAL (programming language); Electronic engineering; Computer science; Voltage; Power (physics); Geomagnetic storm; Physics; Magnetic field; Mechanical engineering","score_opus":0.015853977559726083,"score_gpt":0.19662158980040917,"score_spread":0.18076761224068308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098717450","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":[0.6084988,0.00042760684,0.37792167,0.0003544867,0.00031150656,0.00013113678,0.000011168201,0.0010753091,0.011268322],"genre_scores_gemma":[0.998565,0.000029852283,0.00073542213,0.0001192837,0.00018266408,0.000009100194,0.0000039389056,0.00008446162,0.0002702408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918836,0.000009794756,0.00015341752,0.00022227198,0.00013206856,0.00029409214],"domain_scores_gemma":[0.999612,0.000026731486,0.000010187744,0.00018711732,0.000018711347,0.00014525215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053679985,0.00021360032,0.00017939795,0.000051929914,0.000029355335,0.000045778026,0.00016931286,0.000086654996,0.00009745046],"category_scores_gemma":[0.000029079174,0.00021659514,0.000067290945,0.0001519635,0.00001150844,0.00006322357,0.000015616844,0.00027805212,0.00024478478],"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":[0.000003612301,0.000006423369,0.0000176817,0.00004579219,0.000017344739,0.0000072520015,0.0009026975,0.97083825,0.025043463,0.00028696237,0.00013435209,0.0026961933],"study_design_scores_gemma":[0.00019049898,0.000088264984,0.000016850172,0.000067500354,0.00001073603,0.0000023415384,0.00010527849,0.9967401,0.0019366855,0.00007147557,0.00051311654,0.00025715408],"about_ca_topic_score_codex":0.000006074107,"about_ca_topic_score_gemma":0.0000028761522,"teacher_disagreement_score":0.39006624,"about_ca_system_score_codex":0.000036421647,"about_ca_system_score_gemma":0.0000084827825,"threshold_uncertainty_score":0.8832494},"labels":[],"label_agreement":null},{"id":"W3102420731","doi":"10.1007/s11440-020-01098-1","title":"Dynamic characteristics of multiscale longitudinal stress and particle rotation in ballast track under vertical cyclic loads","year":2020,"lang":"en","type":"article","venue":"Acta Geotechnica","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Young Scientists Fund","keywords":"Ballast; Stress (linguistics); Track (disk drive); Materials science; Mechanics; Particle (ecology); Abrasion (mechanical); Contact area; Geotechnical engineering; Solid mechanics; Structural engineering; Composite material; Geology; Engineering; Mechanical engineering; Physics","score_opus":0.008834659464004057,"score_gpt":0.21114259221632972,"score_spread":0.20230793275232567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102420731","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":[0.9817481,0.00006278443,0.017497387,0.00027931936,0.000053950393,0.00010015552,0.00003746548,0.00018559492,0.00003525872],"genre_scores_gemma":[0.9992377,0.00008554473,0.0005906546,0.00001576966,0.000014457682,0.0000086849595,0.000017264962,0.000027077927,0.0000027999617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992634,0.0000092903265,0.00026221285,0.0001585903,0.00010415755,0.00020233667],"domain_scores_gemma":[0.999685,0.00004813159,0.000016941904,0.00013853499,0.00001459466,0.000096791846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004435619,0.00012632113,0.00019693201,0.00003469446,0.000014088963,0.000016693351,0.00009570684,0.000102185026,0.000009395364],"category_scores_gemma":[0.00004787499,0.00013753292,0.000029189221,0.00016936622,0.00003729176,0.00009000181,0.000032921955,0.00019979474,0.0000042078473],"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":[0.000091377726,0.00022982806,0.029392239,0.00088920066,0.00009794309,0.00003942065,0.00097094674,0.68599427,0.25909016,0.00058233313,0.000046775112,0.022575514],"study_design_scores_gemma":[0.00022339543,0.000034022833,0.35179484,0.000035355315,0.0000106020925,0.0000020084535,0.000029516072,0.64643294,0.0012996151,0.000013508159,0.00001949912,0.00010472401],"about_ca_topic_score_codex":0.000013590112,"about_ca_topic_score_gemma":0.000027360651,"teacher_disagreement_score":0.3224026,"about_ca_system_score_codex":0.00003448905,"about_ca_system_score_gemma":0.0000080088785,"threshold_uncertainty_score":0.56084293},"labels":[],"label_agreement":null},{"id":"W3105007923","doi":"10.1061/jtepbs.0000489","title":"Estimations of Vertical Rail Bending Moments from Numerical Track Deflection Measurements Using Wavelet Analysis and Radial Basis Function Neural Networks","year":2020,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","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":"Canadian Natural Resources; University of Alberta","funders":"","keywords":"Deflection (physics); Wavelet; Bending moment; Track (disk drive); Structural engineering; Artificial neural network; Computer science; Engineering; Physics; Artificial intelligence; Optics; Mechanical engineering","score_opus":0.027489197639817803,"score_gpt":0.22058586138879355,"score_spread":0.19309666374897574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105007923","genre_codex":"methods","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":[0.46204343,0.00024070613,0.53700054,0.000007377692,0.0005876467,0.000051146766,0.000020794883,0.00004685306,0.000001514621],"genre_scores_gemma":[0.9961091,0.000023278286,0.0035060379,0.00000409019,0.00027338788,0.0000036677789,0.00004495052,0.00003496328,4.9027904e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984936,0.000023040942,0.00082852686,0.00013033384,0.000342536,0.00018195821],"domain_scores_gemma":[0.999437,0.00006276828,0.0001304106,0.00007650791,0.000098827084,0.0001945149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016238137,0.00018900247,0.00047514113,0.00026999324,0.000036366815,0.00004076363,0.00006875267,0.000103471015,0.0000066250072],"category_scores_gemma":[0.000025296025,0.00020209352,0.0001764072,0.0006579884,0.0000097828715,0.00028276,0.0000017090176,0.00023075349,2.7058323e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004669465,0.000014510219,0.009252321,0.00010753299,0.00086296006,0.0000042867173,0.00028717145,0.9832066,0.006005376,0.000009512151,0.000012332488,0.00019067014],"study_design_scores_gemma":[0.00047442765,0.00007867128,0.038246002,0.00007677291,0.0009993254,0.0000057570946,0.000046119876,0.95962226,0.00026487318,6.1807054e-7,0.000033694356,0.00015149893],"about_ca_topic_score_codex":0.000030606174,"about_ca_topic_score_gemma":0.0000042451757,"teacher_disagreement_score":0.5340657,"about_ca_system_score_codex":0.00008553508,"about_ca_system_score_gemma":0.000011780423,"threshold_uncertainty_score":0.8241135},"labels":[],"label_agreement":null},{"id":"W3105322624","doi":"","title":"TRACK QUALITY INDEX AS TRACK QUALITY ASSESSMENT INDICATOR","year":2016,"lang":"en","type":"article","venue":"Prosiding Forum Studi Transportasi antar Perguruan Tinggi","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Index (typography); Quality (philosophy); Track geometry; Settlement (finance); Computer science; Transport engineering; Engineering","score_opus":0.02106714037164998,"score_gpt":0.2873512584537355,"score_spread":0.2662841180820855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105322624","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":[0.9713419,0.0004882911,0.0218552,0.0005036783,0.00085996126,0.0005753853,0.00040042496,0.001824922,0.0021502145],"genre_scores_gemma":[0.9969856,0.0004652443,0.0014803379,0.00011025715,0.00018431869,0.00013034654,0.00008174548,0.0001791933,0.0003829636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958873,0.000053915242,0.0012777242,0.00078877964,0.000761868,0.0012304516],"domain_scores_gemma":[0.9983976,0.00023411277,0.00020966494,0.0006989127,0.00008045856,0.00037926823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011387428,0.00069664104,0.00085573323,0.00021774284,0.00034441485,0.000080104255,0.0004958017,0.00033467295,0.00009635764],"category_scores_gemma":[0.000053172196,0.00057821994,0.000374589,0.00040593382,0.00013681431,0.00042260982,0.000032578915,0.00060979254,0.00007669594],"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":[0.0001270698,0.00051819615,0.8614838,0.0011768963,0.00077357766,0.000079859215,0.002672042,0.0067573255,0.08627593,0.019169627,0.0005532151,0.020412438],"study_design_scores_gemma":[0.004044906,0.00035533693,0.95358586,0.00063567306,0.00021691591,0.000034733202,0.0014498696,0.003636094,0.022804892,0.0021163223,0.008339768,0.0027796451],"about_ca_topic_score_codex":0.00017420731,"about_ca_topic_score_gemma":0.0002925862,"teacher_disagreement_score":0.09210202,"about_ca_system_score_codex":0.0003837211,"about_ca_system_score_gemma":0.00008438982,"threshold_uncertainty_score":0.9996669},"labels":[],"label_agreement":null},{"id":"W3108112667","doi":"10.1155/2020/8849734","title":"Train Type Identification at S&amp;C","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Commission; Horizon 2020 Framework Programme; Technology Agency of the Czech Republic","keywords":"Identification (biology); Track (disk drive); Acceleration; Computer science; System identification; Vibration; Control engineering; Type (biology); Simulation; Engineering; Data mining; Physics","score_opus":0.010715679152946947,"score_gpt":0.2208977107434955,"score_spread":0.21018203159054857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108112667","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":[0.88813466,0.00030921577,0.11073066,0.0001249669,0.0005176899,0.000038716844,0.000010907145,0.00007523332,0.000057978432],"genre_scores_gemma":[0.992875,0.0002088157,0.00669184,0.000022985936,0.00010583067,6.74912e-7,0.000042076143,0.000020349147,0.000032451502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99942756,0.000003610873,0.00031615596,0.000050391616,0.00012742,0.000074852185],"domain_scores_gemma":[0.9997156,0.000013084997,0.000075149306,0.000047321973,0.00007447965,0.0000743259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004988016,0.000070028334,0.000109450084,0.000042625124,0.000016002436,0.000007372652,0.000058739737,0.000033946773,0.00001681906],"category_scores_gemma":[0.00001745086,0.00007179493,0.000051957908,0.00015900868,0.000006065627,0.00019875188,3.6596649e-7,0.00010724801,0.000014176873],"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":[0.0000318404,0.0000038128812,0.00011503573,0.000042461495,0.000015476144,0.000004480108,0.0012231154,0.8639784,0.13156725,0.000047657853,0.00014406638,0.0028264206],"study_design_scores_gemma":[0.0057017193,0.00083768985,0.6029686,0.00031659444,0.00042590403,0.00009306898,0.0012743212,0.17045793,0.064752154,0.0012963747,0.15033226,0.0015433959],"about_ca_topic_score_codex":1.4419442e-7,"about_ca_topic_score_gemma":0.0000057035177,"teacher_disagreement_score":0.6935204,"about_ca_system_score_codex":0.000039811934,"about_ca_system_score_gemma":0.000007776123,"threshold_uncertainty_score":0.29277125},"labels":[],"label_agreement":null},{"id":"W3112398201","doi":"10.1177/0954409720979085","title":"A comparative study of the vibration characteristics of railway vehicle axlebox bearings with inner/outer race faults","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Fault (geology); Bearing (navigation); Vibration; Identification (biology); Engineering; Structural engineering; Computer science; Acoustics; Geology; Artificial intelligence; Seismology; Physics","score_opus":0.011023808570861408,"score_gpt":0.19126708844863702,"score_spread":0.1802432798777756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112398201","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":[0.9877575,0.000103371734,0.011298817,0.00030673147,0.00020416468,0.00023914922,0.000019036814,0.0000179445,0.00005326027],"genre_scores_gemma":[0.9991268,0.00007464293,0.0007126922,0.000012902709,0.00005248025,0.0000024628107,6.1434315e-7,0.000013786166,0.00000360965],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986532,0.000010653382,0.00071438256,0.000103352126,0.00039583046,0.00012261583],"domain_scores_gemma":[0.99908155,0.000040661707,0.00038401852,0.00007836981,0.0003332246,0.000082160775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025877377,0.00017591254,0.0005606133,0.0000754117,0.000042459782,0.000008868763,0.0002756397,0.00008328503,0.0000025734837],"category_scores_gemma":[0.000064451764,0.00010760797,0.00012841457,0.00036107196,0.00011524244,0.00021823523,0.000029171575,0.00033984482,9.3945786e-8],"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":[0.0011091453,0.00047606314,0.0010937309,0.0017395444,0.000979557,0.000002718529,0.019299773,0.46990588,0.5003672,0.0036201028,0.00012029552,0.0012859411],"study_design_scores_gemma":[0.0078056464,0.0037746346,0.014187672,0.0020104204,0.0009149093,0.000101092424,0.0047438513,0.44494897,0.5201935,0.00008769438,0.00065021036,0.00058137643],"about_ca_topic_score_codex":0.0000027248116,"about_ca_topic_score_gemma":0.0000010578592,"teacher_disagreement_score":0.024956916,"about_ca_system_score_codex":0.000017701737,"about_ca_system_score_gemma":0.000033438755,"threshold_uncertainty_score":0.43881258},"labels":[],"label_agreement":null},{"id":"W3113605368","doi":"10.1061/jtepbs.0000497","title":"Algorithm to Estimate the Lateral Position of Wheel-Rail Contact and Corresponding Rail Profile Radius","year":2020,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada); Canadian Pacific Railway (Canada); University of Manitoba; Manitoba Beekeepers' Association","funders":"","keywords":"Position (finance); Tangent; RADIUS; Contact area; Process (computing); Engineering; Computer science; Algorithm; Simulation; Structural engineering; Mathematics; Geometry; Physics","score_opus":0.007026018511803276,"score_gpt":0.2156246444847104,"score_spread":0.2085986259729071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113605368","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":[0.56953233,0.0007052391,0.42791227,0.00013807483,0.0012309904,0.00023483034,0.0001091457,0.00012024454,0.000016867978],"genre_scores_gemma":[0.9942478,0.00003140519,0.0053939647,0.000012255401,0.00022114026,0.000010818387,0.000021271375,0.000044494504,0.00001683004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988281,0.000014518184,0.0006439516,0.00009458115,0.0002380867,0.00018077472],"domain_scores_gemma":[0.99945724,0.000065662774,0.00012616442,0.00008503512,0.00009178894,0.00017411038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023562067,0.00017920666,0.0003532398,0.00013522415,0.000028673829,0.000046772424,0.00011695038,0.00006555049,0.000003900967],"category_scores_gemma":[0.00002196553,0.00014984915,0.00008558773,0.00023260161,0.000008104138,0.00019199068,0.0000023342948,0.00021317623,0.0000020589864],"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":[0.000027370046,0.000005754585,0.00029983593,0.00036459748,0.000092707,0.000027238071,0.0018532064,0.97788715,0.018485907,0.0001225364,0.00021199945,0.0006217069],"study_design_scores_gemma":[0.0005307724,0.00018956016,0.00834043,0.00043209075,0.00007236649,0.00007949434,0.000114950046,0.9850339,0.0016987512,0.0000013477984,0.0033139135,0.0001923826],"about_ca_topic_score_codex":0.000005196259,"about_ca_topic_score_gemma":0.0000011158353,"teacher_disagreement_score":0.42471546,"about_ca_system_score_codex":0.000041146963,"about_ca_system_score_gemma":0.000017116043,"threshold_uncertainty_score":0.6110671},"labels":[],"label_agreement":null},{"id":"W3114177701","doi":"10.3390/app11010013","title":"Developing Machine Learning-Based Models for Railway Inspection","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; National Research Council Canada","funders":"Transport Canada","keywords":"Convolutional neural network; Computer science; Software deployment; Deep learning; Artificial intelligence; Preprocessor; Feature engineering; Machine learning; Reliability engineering; Engineering","score_opus":0.028798427766100417,"score_gpt":0.22200333093858338,"score_spread":0.19320490317248296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114177701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01509148,0.00009128214,0.97937435,0.00030505954,0.00013576543,0.00013842086,0.0000049888517,0.0010582566,0.003800419],"genre_scores_gemma":[0.96669835,0.000009387563,0.03300649,0.00014292609,0.000067829285,0.00003844831,0.000009959757,0.00001810137,0.000008524789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993696,0.0000029282264,0.000117172145,0.00018057648,0.00012607685,0.000203626],"domain_scores_gemma":[0.9998099,0.000053627988,0.000015930804,0.000047962625,0.000013039418,0.000059508315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013884215,0.000107100415,0.00010609062,0.000056514156,0.00017708295,0.00005164267,0.00015061922,0.000039834405,0.0000029335306],"category_scores_gemma":[0.00001922506,0.00010246183,0.00002893427,0.00035017327,0.000046650428,0.00008285621,0.00001079674,0.00010165481,0.000010113676],"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":[0.0000030780686,0.000001473727,0.000020721227,0.000035250403,0.0000037166933,1.372959e-7,0.0001415814,0.982141,0.0016692948,0.014844858,0.00007128475,0.0010675805],"study_design_scores_gemma":[0.00016811909,0.00003110354,0.000016962495,0.000005258084,0.0000032132461,3.204835e-7,0.000049092956,0.992894,0.0032289247,0.00097335386,0.0024794294,0.00015022454],"about_ca_topic_score_codex":0.0000025642933,"about_ca_topic_score_gemma":0.0000042170927,"teacher_disagreement_score":0.95160687,"about_ca_system_score_codex":0.00003307421,"about_ca_system_score_gemma":0.000030099698,"threshold_uncertainty_score":0.41782722},"labels":[],"label_agreement":null},{"id":"W3116916684","doi":"10.11159/icgre20.177","title":"Dynamic Response of a Timoshenko Beam Subjected to a Moving Loadon a Foundation with Hysteretic Damping","year":2020,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nazarbayev University","keywords":"Timoshenko beam theory; Foundation (evidence); Structural engineering; Beam (structure); Hysteresis; Moving load; Control theory (sociology); Physics; Engineering; Computer science; Finite element method; Condensed matter physics","score_opus":0.003495121518089661,"score_gpt":0.16893397559718848,"score_spread":0.1654388540790988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116916684","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":[0.9983388,0.000069784495,0.000799422,0.000087681845,0.00017322674,0.0002889358,0.000029164727,0.00015084597,0.000062095336],"genre_scores_gemma":[0.9982008,0.000016064863,0.0016057597,0.000026576574,0.000017092325,0.000017012204,0.0000055689015,0.00006662442,0.000044529905],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989381,0.000003601424,0.00029369575,0.0002524443,0.00025158393,0.0002605777],"domain_scores_gemma":[0.9995937,0.000060048143,0.00008126501,0.000120808036,0.000013315796,0.00013087921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007401167,0.00029303203,0.0003050268,0.00016000574,0.000053568463,0.00004262665,0.00023200209,0.00004843555,0.00000897112],"category_scores_gemma":[0.000040542804,0.00024378745,0.000056278343,0.00033642704,0.00006006534,0.00017351052,0.00009173206,0.00021708237,0.0000011352491],"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":[0.00026873892,0.0000056816957,0.0011150686,0.0004957533,0.00007297419,9.928648e-7,0.00064634683,0.4892119,0.5076479,0.00009219078,0.00001298215,0.00042949818],"study_design_scores_gemma":[0.000687763,0.0002937288,0.034242332,0.0008088504,0.0000638487,0.000020038153,0.00029548004,0.8856197,0.07735521,0.000015133817,0.000108806016,0.0004890914],"about_ca_topic_score_codex":0.0000030841047,"about_ca_topic_score_gemma":0.000004720033,"teacher_disagreement_score":0.43029267,"about_ca_system_score_codex":0.000107061496,"about_ca_system_score_gemma":0.0000047312287,"threshold_uncertainty_score":0.9941364},"labels":[],"label_agreement":null},{"id":"W3117154528","doi":"10.1177/0954409720980881","title":"The permissible wheel load, wheel radius, and speed on a railroad","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Tread; Structural engineering; Shear stress; Fatigue limit; RADIUS; Engineering; Stress (linguistics); Shear (geology); Materials science; Mechanics; Computer science; Physics; Composite material","score_opus":0.010177571586544004,"score_gpt":0.1836994493692569,"score_spread":0.17352187778271289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117154528","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":[0.96339846,0.008832883,0.015037011,0.008493289,0.0016650133,0.00046774241,0.000040590745,0.00015185925,0.0019131397],"genre_scores_gemma":[0.99582833,0.003257926,0.00067003834,0.000051536597,0.00014654809,0.000001230559,3.1141445e-7,0.000019766687,0.000024336388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987643,0.0000059724925,0.0005267825,0.0001192327,0.00038978847,0.00019394753],"domain_scores_gemma":[0.9993423,0.00007700123,0.00014058617,0.000067825196,0.00017639848,0.00019584114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044096156,0.00019988795,0.00036722232,0.00006245495,0.00009893768,0.00003383975,0.00026427815,0.000112748814,0.00000459481],"category_scores_gemma":[0.00022037164,0.0001241177,0.00016631346,0.00022307005,0.00013781771,0.00017964878,0.000021717042,0.0004361598,4.823003e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014348414,0.0001904049,0.00009451161,0.0027195313,0.0012185645,0.000013779245,0.004473406,0.523026,0.35191536,0.071970426,0.0069094375,0.03603373],"study_design_scores_gemma":[0.0063973158,0.0016731286,0.00049325806,0.0017553748,0.00053469377,0.00045864988,0.0010986954,0.7941983,0.12700474,0.0009868845,0.06458913,0.0008098314],"about_ca_topic_score_codex":0.0000013666718,"about_ca_topic_score_gemma":3.6006912e-7,"teacher_disagreement_score":0.27117229,"about_ca_system_score_codex":0.00003187145,"about_ca_system_score_gemma":0.0000458948,"threshold_uncertainty_score":0.50613725},"labels":[],"label_agreement":null},{"id":"W3119451227","doi":"10.1139/cjce-2019-0832","title":"Hybrid rail track quality analysis using nonlinear dimension reduction technique with machine learning","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Manitoba; Research Manitoba","funders":"","keywords":"Track geometry; Track (disk drive); Inefficiency; Computer science; Reduction (mathematics); Nonlinear system; Quality (philosophy); Algorithm; Mathematics; Geometry","score_opus":0.007909678243977133,"score_gpt":0.2023919288739295,"score_spread":0.1944822506299524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119451227","genre_codex":"methods","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":[0.45872697,0.0016264252,0.53876495,0.000021091812,0.00043436445,0.00006124738,0.000026318332,0.00013009559,0.00020852985],"genre_scores_gemma":[0.98006326,0.00006280166,0.0195283,0.000004231806,0.00017869264,0.0000019802744,0.000030547853,0.00007866986,0.00005149319],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986834,0.000026460868,0.0005055121,0.00016359169,0.00021877301,0.0004022938],"domain_scores_gemma":[0.9989211,0.000038655347,0.00010167679,0.00022058924,0.00023349647,0.00048450904],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039612575,0.00025427088,0.0004739874,0.0007954837,0.000086551634,0.00007880253,0.00012845673,0.00009569268,0.000060250288],"category_scores_gemma":[0.00009895392,0.00026624362,0.0002002043,0.00092911243,0.00002183545,0.00023485874,0.0000076151805,0.0007067765,0.0000011393765],"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":[0.0000039904885,0.000004829303,0.00062586245,0.00007541379,0.0003745518,0.0002843953,0.00011681491,0.97431207,0.023936717,0.000028000119,0.000012764756,0.00022458228],"study_design_scores_gemma":[0.00026914728,0.00004085517,0.000755015,0.00018451794,0.00030924214,0.0014626117,0.0000618079,0.98426735,0.010688839,0.000011587442,0.0015680721,0.0003809689],"about_ca_topic_score_codex":0.0003620974,"about_ca_topic_score_gemma":0.008382615,"teacher_disagreement_score":0.5213363,"about_ca_system_score_codex":0.00037565528,"about_ca_system_score_gemma":0.00025084137,"threshold_uncertainty_score":0.99997896},"labels":[],"label_agreement":null},{"id":"W312540173","doi":"","title":"QNS&L Wheel-Rail Optimization Strategy","year":2006,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Engineering; Grinding; Schedule; Third rail; Track (disk drive); Plan (archaeology); Welding; Transport engineering; Automotive engineering; Mechanical engineering; Computer science","score_opus":0.004453420559735499,"score_gpt":0.17308980032415056,"score_spread":0.16863637976441506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W312540173","genre_codex":"methods","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":[0.053457834,0.000121075755,0.64231205,0.000038101974,0.00037581104,0.00007222022,0.000014431293,0.001103933,0.3025045],"genre_scores_gemma":[0.9824991,0.000024543557,0.016148513,0.0000069297594,0.0001540948,0.0000068771556,0.000035807087,0.000036235197,0.0010878488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995466,0.0000035432163,0.00011342506,0.00008371617,0.00008250064,0.00017023024],"domain_scores_gemma":[0.9998049,0.000010346159,0.0000080162645,0.00012739342,0.000016279346,0.000033027074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003408848,0.00009658739,0.00007844912,0.000048774957,0.000023130535,0.000033348857,0.00006547382,0.00006100788,0.00015657119],"category_scores_gemma":[0.0000036147164,0.00010450748,0.00002679897,0.00010869314,0.000009273363,0.00007652146,0.000005627764,0.00008245437,0.00004203249],"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":[6.469582e-7,0.0000058774176,0.000034881927,0.00001561701,0.000004565727,0.0000025638947,0.000007542517,0.9879161,0.00458561,0.0028733327,0.003189309,0.0013639474],"study_design_scores_gemma":[0.00011682205,0.000008937033,0.00042217263,0.0000066645775,0.0000043733626,0.0000035899166,0.0000054108214,0.9957227,0.00043922648,0.0008501282,0.0022927432,0.0001272025],"about_ca_topic_score_codex":0.0000063824136,"about_ca_topic_score_gemma":0.000005538695,"teacher_disagreement_score":0.9290413,"about_ca_system_score_codex":0.000034342374,"about_ca_system_score_gemma":0.000006228134,"threshold_uncertainty_score":0.42616916},"labels":[],"label_agreement":null},{"id":"W3127319887","doi":"10.1139/cgj-2019-0596","title":"Degradation of crumb rubber modified railway ballast under impact loading considering aggregate gradation and rubber size","year":2021,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gradation; Ballast; Subgrade; Aggregate (composite); Degradation (telecommunications); Geotechnical engineering; Materials science; Natural rubber; Crumb rubber; Composite material; Environmental science; Engineering","score_opus":0.011391777696308744,"score_gpt":0.21379804847014314,"score_spread":0.20240627077383438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127319887","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":[0.89232427,0.0011522805,0.10487088,0.00042405043,0.00041766925,0.00009533626,0.000052232073,0.00013103001,0.0005322531],"genre_scores_gemma":[0.997304,0.00029188656,0.0020733578,0.000057151643,0.00008584251,0.000002231722,0.000016800626,0.00004718433,0.00012153412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987909,0.000030384228,0.00039835065,0.00016616742,0.00018199526,0.00043217748],"domain_scores_gemma":[0.9988929,0.00013995958,0.000067233574,0.00019470643,0.00011791829,0.000587289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022869279,0.00020375734,0.0002717912,0.0002027868,0.00011656268,0.0001304168,0.00010446989,0.0001981457,0.00009733213],"category_scores_gemma":[0.00024112302,0.00021320434,0.00010945674,0.0002750016,0.000053321426,0.00021748441,0.00002009217,0.00052764796,0.0000039987262],"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":[0.000004882801,0.000006418048,0.0002889213,0.000038310878,0.000107749416,0.00010649436,0.000039764658,0.97491795,0.018623903,0.0007086695,0.00044491724,0.004712019],"study_design_scores_gemma":[0.0010891203,0.00005964788,0.017828893,0.00039701094,0.00010296101,0.0027793993,0.00014502839,0.9672674,0.0056010936,0.0023076022,0.0017227108,0.00069916056],"about_ca_topic_score_codex":0.0009853293,"about_ca_topic_score_gemma":0.0025235051,"teacher_disagreement_score":0.104979746,"about_ca_system_score_codex":0.0004139902,"about_ca_system_score_gemma":0.00029914128,"threshold_uncertainty_score":0.8694221},"labels":[],"label_agreement":null},{"id":"W3129149682","doi":"10.1155/2021/6642071","title":"Building Vibration Prediction Induced by Moving Train with Random Forest","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Track (disk drive); Vibration; Random vibration; Random forest; Axle; Computer science; Structural engineering; Engineering; Simulation; Acoustics; Artificial intelligence; Mechanical engineering","score_opus":0.003639279476795251,"score_gpt":0.19170011014468344,"score_spread":0.1880608306678882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129149682","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":[0.5575987,0.00014715233,0.44183773,0.000015085079,0.00028859943,0.000035587633,0.000012100129,0.00004598238,0.000019032903],"genre_scores_gemma":[0.9686383,0.00010628905,0.031027365,0.000007952547,0.00011312222,0.0000035533903,0.000068234884,0.000029195882,0.0000059802865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925834,0.00000900846,0.00034888857,0.00007626282,0.00019308609,0.00011440007],"domain_scores_gemma":[0.99956524,0.000034354463,0.00009512893,0.000060570343,0.0001864824,0.000058190995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009030925,0.00010725462,0.00016465907,0.00007973494,0.000032116335,0.000022256643,0.000038846156,0.000056955843,0.0000039910988],"category_scores_gemma":[0.000021733767,0.000101969046,0.00005413849,0.00016863442,0.000005789125,0.00056350813,3.4416905e-7,0.00019160827,2.4782818e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055263394,0.000010632721,0.00024319575,0.000037692193,0.000032884167,0.000012200442,0.0002571738,0.77118397,0.22454955,0.000070435795,0.000014598788,0.0035323896],"study_design_scores_gemma":[0.019280305,0.0010071759,0.2747856,0.0012928529,0.00046638472,0.00017808318,0.0019126799,0.46533263,0.23023218,0.0014623047,0.0029502502,0.0010995368],"about_ca_topic_score_codex":7.951484e-7,"about_ca_topic_score_gemma":0.000026628883,"teacher_disagreement_score":0.41103956,"about_ca_system_score_codex":0.00005660107,"about_ca_system_score_gemma":0.0000289102,"threshold_uncertainty_score":0.4158177},"labels":[],"label_agreement":null},{"id":"W3132390046","doi":"10.2749/nantes.2018.s21-95","title":"Prolife: Strengthening a Steel Railway Bridge with Deck Sections","year":2018,"lang":"en","type":"article","venue":"Report","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Deck; Girder; Truss; Bridge deck; Engineering; Structural engineering; Forensic engineering; Civil engineering","score_opus":0.009104830749561903,"score_gpt":0.21604611346262242,"score_spread":0.20694128271306053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132390046","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":[0.9010791,0.000037352078,0.07227359,0.000012739567,0.00042204614,0.000106510706,0.0000072129587,0.0010257409,0.025035692],"genre_scores_gemma":[0.99392104,0.0000030964425,0.0041307523,0.0000052568107,0.00040957384,0.000023987144,0.00002259726,0.0000574718,0.001426227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921954,0.0000038950675,0.00021431138,0.00016853867,0.00015136627,0.0002423565],"domain_scores_gemma":[0.9995004,0.000015135423,0.000033305118,0.00031340102,0.000065768996,0.00007199934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100874604,0.00014320007,0.00013163895,0.00007522287,0.000069681824,0.000035324683,0.000063750376,0.000060428087,0.000011831624],"category_scores_gemma":[0.00002212633,0.00012962228,0.000035656525,0.00021079998,0.00003483931,0.00008259598,0.00001193939,0.00013571605,0.000027756098],"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":[0.000040399027,0.00013105605,0.085180014,0.00032298703,0.0005623911,0.001839697,0.0012350684,0.8705111,0.010814125,0.0011292165,0.02198872,0.0062451963],"study_design_scores_gemma":[0.0008657366,0.00030447077,0.26177984,0.00019860658,0.00010973974,0.006767431,0.000066489556,0.5893628,0.005908588,0.00010282257,0.13335231,0.001181175],"about_ca_topic_score_codex":0.000031032214,"about_ca_topic_score_gemma":0.000089071065,"teacher_disagreement_score":0.28114834,"about_ca_system_score_codex":0.000054895023,"about_ca_system_score_gemma":0.00003267713,"threshold_uncertainty_score":0.5285843},"labels":[],"label_agreement":null},{"id":"W3135231597","doi":"10.9798/kosham.2021.21.1.199","title":"Temperature Distribution of Railway Tunnels in Winter","year":2021,"lang":"en","type":"article","venue":"Korean Society of Hazard Mitigation","topic":"Railway Engineering and Dynamics","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":"Optech (Canada)","funders":"Korea Railroad Research Institute","keywords":"Train; Slab; Range (aeronautics); Atmospheric temperature range; Environmental science; Geotechnical engineering; Meteorology; Materials science; Geology; Engineering; Structural engineering; Composite material; Physics; Geography","score_opus":0.004504026994638852,"score_gpt":0.19486849848979526,"score_spread":0.1903644714951564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135231597","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":[0.98676246,0.00028400973,0.012079137,0.00009744446,0.00015962703,0.00006060752,0.000133291,0.000075297525,0.00034814386],"genre_scores_gemma":[0.9968304,0.00012748472,0.002326039,0.000011753376,0.000041036637,0.0000040888726,0.0005691471,0.000016808555,0.000073243],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938434,0.000012178298,0.0002497475,0.00010493954,0.00012447525,0.00012433382],"domain_scores_gemma":[0.99967724,0.000028302724,0.000031877164,0.00014456543,0.00008915486,0.00002884058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010525261,0.00009947689,0.0001771091,0.00001749743,0.000012568991,0.000008430909,0.00005263558,0.00012505885,0.000011816786],"category_scores_gemma":[0.00002296844,0.000111269255,0.00014197904,0.00023381712,0.000038220038,0.00009159369,0.000011897512,0.00014209616,0.000001565958],"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":[0.0000071944696,0.000083273975,0.007308273,0.00090336124,0.00012753985,0.0000042407437,0.0027481273,0.34689513,0.62638044,0.0012243693,0.011450678,0.0028673948],"study_design_scores_gemma":[0.0009552398,0.000036425212,0.0799313,0.00050877605,0.000029832989,0.00001146158,0.0011686613,0.2918697,0.62362593,0.0007278618,0.0007950579,0.00033973053],"about_ca_topic_score_codex":0.000003263624,"about_ca_topic_score_gemma":0.000006517036,"teacher_disagreement_score":0.07262302,"about_ca_system_score_codex":0.00007061573,"about_ca_system_score_gemma":0.000023466086,"threshold_uncertainty_score":0.45374286},"labels":[],"label_agreement":null},{"id":"W3136410386","doi":"10.1109/bigdata50022.2020.9377889","title":"Algorithm-centered Approach to Improve Track Performance Monitoring with Rail Profile Data","year":2020,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Track (disk drive); Process (computing); Algorithm; Position (finance); Computer science; RADIUS; Simulation; Engineering; Mechanical engineering","score_opus":0.024292627120665395,"score_gpt":0.20612600611643583,"score_spread":0.18183337899577043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136410386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13810763,0.00008557424,0.84702814,0.000070052,0.0004202209,0.00043214895,0.00015698459,0.0016080611,0.012091205],"genre_scores_gemma":[0.6804236,0.000024633257,0.3185646,0.000032910815,0.0003893065,0.00003916944,0.00011152908,0.00008084022,0.0003334043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990402,0.0000034263724,0.00015734267,0.00032710325,0.0001640444,0.00030791663],"domain_scores_gemma":[0.99925745,0.000008271877,0.000011016664,0.00048649998,0.00002214769,0.00021459977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055926994,0.0001978032,0.00017195668,0.000034888708,0.000032870343,0.000057749043,0.00042824895,0.00005105276,0.00000852979],"category_scores_gemma":[0.0000084365865,0.00016948159,0.000017185434,0.00023354623,0.000008982685,0.0002800429,0.00009211083,0.00019690917,0.00006617442],"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":[0.00003677125,0.00006436016,0.0011806411,0.0006430377,0.00013801693,0.0000071821955,0.0009820447,0.7727268,0.006512284,0.000022381872,0.0024395124,0.21524699],"study_design_scores_gemma":[0.00031521573,0.00007915584,0.0005848102,0.000020770276,0.000010138796,0.0000045634397,0.00011932668,0.9923697,0.004092858,2.4609307e-7,0.0021477316,0.00025548605],"about_ca_topic_score_codex":0.0000039059146,"about_ca_topic_score_gemma":2.498748e-7,"teacher_disagreement_score":0.54231596,"about_ca_system_score_codex":0.0000313098,"about_ca_system_score_gemma":0.0000121894245,"threshold_uncertainty_score":0.69112587},"labels":[],"label_agreement":null},{"id":"W3137193012","doi":"10.1177/09544097211002665","title":"Procedure for combining ﬁeld measurements and machine learning to quantify impact of different track parameters on ride quality of railway tracks","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Track (disk drive); Accelerometer; Ride quality; Quality (philosophy); Computer science; Field (mathematics); Transport engineering; Automotive engineering; Engineering; Simulation; Mechanical engineering; Mathematics","score_opus":0.03822036415177431,"score_gpt":0.2608889492548813,"score_spread":0.222668585103107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137193012","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":[0.9852419,0.00055331487,0.013568529,0.0001281207,0.00022858517,0.00019194721,0.000041659747,0.000017373748,0.000028558197],"genre_scores_gemma":[0.9973938,0.00032147072,0.0022270752,0.000006092642,0.00002162245,0.0000035305686,0.0000022285847,0.000019718558,0.0000044864623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99841094,0.00001433838,0.0008695761,0.00013755572,0.00038511123,0.00018247729],"domain_scores_gemma":[0.9989864,0.0001353554,0.0003076633,0.00007004297,0.00036398065,0.00013651811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007402244,0.00021744292,0.0007039709,0.00015226586,0.00004244663,0.000011729862,0.00015059017,0.00012240696,0.000002486898],"category_scores_gemma":[0.0004985109,0.0001560306,0.00033341497,0.00021433042,0.00006512892,0.000120396806,0.000014960159,0.0003397288,3.0418995e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006272385,0.0001905475,0.0009524433,0.0022295248,0.00059605256,5.405049e-7,0.0011357272,0.51366776,0.47698253,0.0014365043,0.00002650886,0.002154594],"study_design_scores_gemma":[0.004734634,0.0022382026,0.007159811,0.002807859,0.00040154424,0.0000732464,0.00061188807,0.12474427,0.8564211,0.00032365145,0.00006478636,0.00041896602],"about_ca_topic_score_codex":0.000003611794,"about_ca_topic_score_gemma":0.000001603421,"teacher_disagreement_score":0.3889235,"about_ca_system_score_codex":0.00003812823,"about_ca_system_score_gemma":0.00004056294,"threshold_uncertainty_score":0.6362743},"labels":[],"label_agreement":null},{"id":"W3142219289","doi":"10.1139/cjce-2020-0069","title":"The calibration challenge when inferring longitudinal track profile from the inertial response of an in-service train","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"FP7 People: Marie-Curie Actions","keywords":"Calibration; Track (disk drive); Stiffness; Inertial measurement unit; Modal; Inertial frame of reference; Truck; Frequency response; Computer science; Amplitude; Noise (video); Simulation; Acoustics; Engineering; Mathematics; Structural engineering; Statistics; Automotive engineering; Physics; Artificial intelligence","score_opus":0.012308082728321209,"score_gpt":0.19134641721793716,"score_spread":0.17903833448961595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142219289","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":[0.98559475,0.0026189685,0.010045659,0.00066073646,0.00076449465,0.000080410326,0.000047207148,0.000034645625,0.00015312203],"genre_scores_gemma":[0.99908954,0.000056094636,0.0005122009,0.000016450977,0.00025651805,0.00000490405,0.000007097329,0.000047086276,0.000010088341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988754,0.00006111071,0.0004498483,0.000104359424,0.00017923201,0.00033005117],"domain_scores_gemma":[0.99898046,0.00031259627,0.00006428666,0.00027264518,0.000117170195,0.00025286243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005561787,0.00017239341,0.00023133248,0.00015279018,0.00006500682,0.00008891817,0.00032903423,0.00010037078,0.000037718917],"category_scores_gemma":[0.00027402575,0.00013951735,0.00007587629,0.00030711203,0.00002212265,0.00028313734,0.000010823958,0.00047395093,8.565091e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029188333,0.0000064862447,0.00047571774,0.000037796206,0.000053177842,0.00013283314,0.0021006626,0.9863458,0.009493767,0.00015803722,0.00008287109,0.0010836597],"study_design_scores_gemma":[0.0004744457,0.000056626144,0.042595875,0.0002739234,0.0000245384,0.00008259876,0.00030062842,0.95163095,0.0025103912,0.00008039543,0.0017429201,0.00022669506],"about_ca_topic_score_codex":0.0008964435,"about_ca_topic_score_gemma":0.2573626,"teacher_disagreement_score":0.25646615,"about_ca_system_score_codex":0.00016246909,"about_ca_system_score_gemma":0.0004051626,"threshold_uncertainty_score":0.7561886},"labels":[],"label_agreement":null},{"id":"W3144704510","doi":"10.7939/r32b8vh4z","title":"An investigation of the effects of axle spacing on the rail bending stress behavior","year":2016,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Axle; Stress (linguistics); Structural engineering; Bending; Forensic engineering; Engineering; Materials science","score_opus":0.0033258192056985643,"score_gpt":0.14054956968451346,"score_spread":0.13722375047881488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144704510","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":[0.9984533,0.000013636539,0.00024041334,0.0000949709,0.00011102611,0.00008576702,0.000009843561,0.00003217804,0.000958844],"genre_scores_gemma":[0.99941087,0.0000152472185,0.00018551506,0.0000042353877,0.000009915034,1.3297966e-7,0.0000036118802,0.000011679901,0.00035876932],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996965,0.000023403822,0.00006647962,0.00006221309,0.0000779796,0.00007341677],"domain_scores_gemma":[0.99937755,0.00031537903,0.000042022108,0.00022870606,0.0000068669174,0.000029499739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000022166812,0.00006593652,0.00008952746,0.000051367333,0.00003195234,0.000003002424,0.00022187385,0.00004324055,0.000020597996],"category_scores_gemma":[0.000015758405,0.00004280363,0.000047729467,0.00010336483,0.00007130504,0.00025277934,0.00003318216,0.000053928667,9.5115576e-7],"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":[0.00006240679,0.00013123374,0.43757388,0.0011757568,0.00021357277,0.000007825957,0.018438332,0.0666433,0.439324,0.029468458,0.0015715258,0.005389739],"study_design_scores_gemma":[0.0007531863,0.00018987854,0.29642367,0.001492803,0.00010449174,0.000001317277,0.0008790311,0.02067471,0.6788196,0.00022135266,0.00017365342,0.00026628128],"about_ca_topic_score_codex":0.00008879055,"about_ca_topic_score_gemma":0.000021951124,"teacher_disagreement_score":0.23949564,"about_ca_system_score_codex":0.0000102829445,"about_ca_system_score_gemma":0.000011358647,"threshold_uncertainty_score":0.17454813},"labels":[],"label_agreement":null},{"id":"W3145694833","doi":"10.1016/j.eswa.2021.114996","title":"Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition","year":2021,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Deep learning; Component (thermodynamics); Convolutional neural network; Artificial intelligence; Backpropagation; Data modeling; Artificial neural network; Machine learning; Pattern recognition (psychology); Database","score_opus":0.012725430522021757,"score_gpt":0.234794696189414,"score_spread":0.22206926566739224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145694833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003676528,0.0011262005,0.99279386,0.00004578028,0.0001093019,0.0011494528,0.000054924145,0.0005758042,0.00046814707],"genre_scores_gemma":[0.9263615,0.00013382605,0.06641363,0.000030738756,0.0003176301,0.005833839,0.000690731,0.00010496188,0.00011314475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990328,0.00003082308,0.00026340535,0.00028213096,0.00013891477,0.00025194045],"domain_scores_gemma":[0.9992541,0.00013368113,0.000041521445,0.00022791409,0.00025642815,0.00008632013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000122007834,0.00019075518,0.00021011244,0.000073725045,0.00017482841,0.00010757649,0.00006484206,0.00012619133,0.0000053481745],"category_scores_gemma":[0.000050700528,0.00019189164,0.00005222398,0.00024693235,0.000013735493,0.00013187472,0.000008169125,0.00020292419,0.000042548116],"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":[0.0000052573296,0.000019254192,0.0000048581883,0.00012115438,0.00006652002,0.000003063627,0.00087502593,0.9640376,0.003001147,0.0004947642,0.000021421276,0.031349916],"study_design_scores_gemma":[0.00021424468,0.000023170185,0.000004100671,0.00020734049,0.00002612081,0.000069818605,0.0017547257,0.99397194,0.0015880485,0.0002022759,0.0016706121,0.00026758804],"about_ca_topic_score_codex":0.0000405694,"about_ca_topic_score_gemma":0.000013475674,"teacher_disagreement_score":0.9263802,"about_ca_system_score_codex":0.000102270125,"about_ca_system_score_gemma":0.000030854015,"threshold_uncertainty_score":0.7825114},"labels":[],"label_agreement":null},{"id":"W3166980938","doi":"10.23977/jemm.2021.060102","title":"Design of all-around automatic integrated rail cleaning vehicle","year":2021,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Modular design; Engineering; Automotive engineering; Reliability (semiconductor); Automatic control; Workload; Control (management); Computer science; Control engineering","score_opus":0.009311248324636883,"score_gpt":0.19660191548469047,"score_spread":0.18729066716005358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166980938","genre_codex":"methods","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":[0.17834863,0.002172257,0.8185838,0.000018792432,0.0006988894,0.000039313185,0.000005508043,0.00010468576,0.000028122631],"genre_scores_gemma":[0.9447147,0.0007268044,0.05436998,0.000014666253,0.00008598564,0.0000013772019,0.0000040583477,0.000062832216,0.00001958153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897265,0.000019972069,0.00051271694,0.000093332055,0.00018719034,0.00021414808],"domain_scores_gemma":[0.9993775,0.00013534923,0.000096667056,0.0001462456,0.000122166,0.00012210838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039995342,0.00019810928,0.00039112163,0.0001909075,0.000018604413,0.00004128913,0.0001216578,0.00009919741,0.000009759075],"category_scores_gemma":[0.00013949697,0.00018832598,0.00009094856,0.00023212534,0.0000046045056,0.00014526879,0.000029489915,0.00037765925,7.507213e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004913842,0.000016694505,0.0000068240006,0.00018767429,0.00015974799,0.000063063206,0.00011992712,0.87617165,0.11874813,0.0012441305,0.00006980117,0.0032074333],"study_design_scores_gemma":[0.0003775402,0.000079019694,0.000045874833,0.00022342193,0.00006384318,0.00029131465,0.0000653471,0.993609,0.004441811,0.00027987317,0.00034322919,0.00017971886],"about_ca_topic_score_codex":0.0000019394483,"about_ca_topic_score_gemma":4.6899487e-7,"teacher_disagreement_score":0.76636606,"about_ca_system_score_codex":0.000054143762,"about_ca_system_score_gemma":0.00004288762,"threshold_uncertainty_score":0.76797104},"labels":[],"label_agreement":null},{"id":"W3169177822","doi":"10.1177/16878140211025187","title":"Buckling of a ballasted curved track under unloaded conditions","year":2021,"lang":"en","type":"article","venue":"Advances in Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Buckling; Ballast; Track (disk drive); Structural engineering; Critical load; Differential (mechanical device); Safety factor; Displacement (psychology); Vertical displacement; Mechanics; Engineering; Mechanical engineering; Physics","score_opus":0.006341499284894457,"score_gpt":0.22648373702640912,"score_spread":0.22014223774151465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169177822","genre_codex":"methods","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":[0.19888826,0.0043566236,0.7939161,0.000027823544,0.0011189213,0.00012202275,0.0000421365,0.0006659966,0.0008621131],"genre_scores_gemma":[0.9846503,0.00077387044,0.014372939,0.000012000285,0.000050744944,0.000021972995,0.000034110115,0.000059082595,0.000024961137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988057,0.000013478356,0.00043883774,0.0002193571,0.00017237107,0.0003502432],"domain_scores_gemma":[0.9993735,0.00019970538,0.000025947253,0.00025685914,0.000049704937,0.00009429618],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011588034,0.00021231093,0.0003459462,0.0001411639,0.000016712871,0.000013930928,0.00014547833,0.00013242941,0.000048029833],"category_scores_gemma":[0.00013304682,0.00025335024,0.00009253967,0.0005161957,0.000018494497,0.00023349457,0.000031584037,0.00034584056,0.000008554947],"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":[0.000002094664,0.00002160971,0.000010816693,0.00015743622,0.00002170519,0.000019007948,0.00002462367,0.8787108,0.101364605,0.018992824,0.0000030745523,0.00067139254],"study_design_scores_gemma":[0.00049021933,0.000017911825,0.00016487441,0.00021080466,0.000013460284,0.00002153943,0.000076584605,0.9326788,0.06401867,0.0011080536,0.0009034526,0.0002955956],"about_ca_topic_score_codex":0.0000011942722,"about_ca_topic_score_gemma":0.000013931326,"teacher_disagreement_score":0.7857621,"about_ca_system_score_codex":0.00008560587,"about_ca_system_score_gemma":0.00001997202,"threshold_uncertainty_score":0.9999919},"labels":[],"label_agreement":null},{"id":"W3170513053","doi":"10.1016/j.compstruc.2021.106581","title":"A practical three-dimensional wheel-rail interaction element for dynamic response analysis of vehicle-track systems","year":2021,"lang":"en","type":"article","venue":"Computers & Structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; National Key Research and Development Program of China; Izumi Science and Technology Foundation; Ministério da Ciência, Tecnologia e Ensino Superior; Technische Universiteit Delft; University of Alberta; National Science Foundation","keywords":"Finite element method; OpenSees; Multibody system; Track (disk drive); Vehicle dynamics; Contact force; Node (physics); Engineering; Structural engineering; Nonlinear system; Computer science; Mechanical engineering; Automotive engineering; Physics","score_opus":0.011707953116161133,"score_gpt":0.26652433996641245,"score_spread":0.2548163868502513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170513053","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":[0.5962111,0.00024500344,0.4017797,0.00006563032,0.0013817238,0.00010587623,0.00007820635,0.00012613604,0.0000066510775],"genre_scores_gemma":[0.9718687,0.0000072558364,0.027832847,0.000017486407,0.000059466165,0.0000139726435,0.00015197542,0.00003050444,0.00001778188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890894,0.00004715291,0.0003666624,0.0002433398,0.00020907543,0.00022485247],"domain_scores_gemma":[0.9988143,0.0006043127,0.00006937226,0.0003024092,0.00013424213,0.00007536487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001628334,0.00018721978,0.00036651702,0.00024924125,0.00004369735,0.000058416295,0.000099401215,0.000095508214,0.000013659982],"category_scores_gemma":[0.00008748759,0.0001889313,0.00019955945,0.0003894902,0.000023320821,0.00009308807,0.000037816328,0.00016829431,0.0000012493224],"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":[0.00012979345,0.000016716547,0.00011305401,0.00011396514,0.0010441223,0.000014800949,0.0000728935,0.9873876,0.008284544,0.0007098354,0.00071199366,0.0014007062],"study_design_scores_gemma":[0.00030791893,0.000049129598,0.016745709,0.00004009296,0.00033349887,0.000027049797,0.000038049882,0.98057884,0.00059268996,0.00007597152,0.001033069,0.00017796713],"about_ca_topic_score_codex":0.0000086687,"about_ca_topic_score_gemma":0.00003925607,"teacher_disagreement_score":0.37565765,"about_ca_system_score_codex":0.00013823416,"about_ca_system_score_gemma":0.000044838886,"threshold_uncertainty_score":0.77043945},"labels":[],"label_agreement":null},{"id":"W3171250588","doi":"10.1115/jrc2021-58311","title":"Multiscale Simulation-Based Mixed Train Derailment Analysis: A Case Study","year":2021,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Simon Fraser University; Canadian Pacific Railway (Canada)","funders":"","keywords":"Derailment; Marshalling; Train; Context (archaeology); Computer science; Track (disk drive); Automotive engineering; Engineering; Simulation; Mechanical engineering","score_opus":0.012048824058957608,"score_gpt":0.2438125522247552,"score_spread":0.2317637281657976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171250588","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":[0.57565236,0.000044414915,0.42352042,0.000008987047,0.00009305284,0.000082043895,0.000009086696,0.00031791715,0.00027172524],"genre_scores_gemma":[0.9936085,6.8421014e-7,0.006014831,0.000019659159,0.000023173632,0.000022463397,0.000030044268,0.000024548697,0.00025614907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929404,0.000024221848,0.00020551357,0.0001753373,0.00012817746,0.00017272073],"domain_scores_gemma":[0.99942046,0.00016434386,0.000009166641,0.00027776483,0.000043893284,0.00008436095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086600674,0.00013716074,0.00019196753,0.00013424605,0.00004388017,0.000044816865,0.000043862627,0.000043588214,0.00012956634],"category_scores_gemma":[0.000028615046,0.00013977778,0.000111489964,0.0005982627,0.000005355725,0.000037007572,0.0000086526,0.000084776075,0.000012040446],"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":[9.294054e-7,0.0001137727,0.0021317548,0.000013109574,0.00038024297,0.0012725523,0.00034566896,0.9942006,0.00010171419,0.000007321336,0.000018290932,0.0014140323],"study_design_scores_gemma":[0.00050943304,0.00001726177,0.0020844464,0.0000027497244,0.00022695864,0.000016825505,0.0013429731,0.9953217,0.00020733333,0.0000020391292,0.000095222815,0.00017306794],"about_ca_topic_score_codex":0.000057477755,"about_ca_topic_score_gemma":0.0012940915,"teacher_disagreement_score":0.41795608,"about_ca_system_score_codex":0.000051051094,"about_ca_system_score_gemma":0.000015776115,"threshold_uncertainty_score":0.56999725},"labels":[],"label_agreement":null},{"id":"W3174211120","doi":"10.3390/pr9081331","title":"Impact of Ballast Fouling on the Mechanical Properties of Railway Ballast: Insights from Discrete Element Analysis","year":2021,"lang":"en","type":"article","venue":"Processes","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Ballast; Discrete element method; Fouling; Materials science; Shear strength (soil); Shear (geology); Geotechnical engineering; Environmental science; Engineering; Composite material; Mechanics; Chemistry; Soil science","score_opus":0.012027103310326054,"score_gpt":0.21544468062731417,"score_spread":0.20341757731698812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174211120","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":[0.96979994,0.0024990013,0.02702974,0.000032167492,0.00006389349,0.00007361214,0.00005541342,0.00008332372,0.0003628892],"genre_scores_gemma":[0.99898136,0.00036361767,0.00052820146,0.0000054099796,0.000038783226,0.00001385503,0.000024229892,0.00002468423,0.000019847246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911046,0.000018553696,0.00030553513,0.00016645719,0.00023956018,0.00015940508],"domain_scores_gemma":[0.99934095,0.00012535256,0.000055266722,0.00027271625,0.00015907508,0.000046653782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000563054,0.00017064945,0.00032642233,0.00008991287,0.000030718864,0.000027562432,0.00017586305,0.000054067383,0.00005465426],"category_scores_gemma":[0.00019838082,0.00010569417,0.00016772177,0.00071402156,0.00002373756,0.00006304311,0.000039729057,0.000117219584,0.0000029458026],"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":[0.000020953308,0.0000479906,0.000730636,0.00046984447,0.0013771486,0.0000024841347,0.0006233104,0.94742525,0.04879953,0.00022993167,0.000015991971,0.00025693246],"study_design_scores_gemma":[0.0002471272,0.00010936097,0.0024202052,0.00031546902,0.00040267588,0.0000010145156,0.00035530716,0.66878086,0.32670847,0.00027589296,0.00010882668,0.00027476822],"about_ca_topic_score_codex":0.00004294662,"about_ca_topic_score_gemma":0.000119909506,"teacher_disagreement_score":0.27864438,"about_ca_system_score_codex":0.000039915307,"about_ca_system_score_gemma":0.00007019164,"threshold_uncertainty_score":0.4310083},"labels":[],"label_agreement":null},{"id":"W3189179677","doi":"10.5267/j.esm.2021.7.001","title":"Development of a nomogram to predict the contact stress between an I-girder and a support roller","year":2021,"lang":"en","type":"article","venue":"Engineering Solid Mechanics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Girder; Structural engineering; Nomogram; Bridge (graph theory); Finite element method; Parametric statistics; Contact mechanics; Stress (linguistics); Engineering; Mathematics; Physics","score_opus":0.008099234934051442,"score_gpt":0.2132937280757722,"score_spread":0.20519449314172078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189179677","genre_codex":"methods","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":[0.4688638,0.00019658983,0.52959067,0.000023617478,0.0004700922,0.00021555011,0.0000823653,0.0004709869,0.00008631452],"genre_scores_gemma":[0.970334,0.000029957815,0.029275794,0.000014089424,0.00011479934,0.00003920123,0.000057069483,0.00008635069,0.000048765854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883306,0.0000094563775,0.0003671936,0.00021641022,0.00021108068,0.00036278274],"domain_scores_gemma":[0.99928504,0.000055267945,0.000023922204,0.0003642106,0.0000632879,0.00020824923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002208921,0.0002491937,0.00032536534,0.00010446831,0.000048175956,0.000045076154,0.00018703508,0.000112111375,0.000013340817],"category_scores_gemma":[0.000049310456,0.00023170201,0.000050758117,0.00026572193,0.0000041658773,0.00008190899,0.000078144505,0.00023041686,0.0000046875607],"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":[0.000004519935,0.000034476212,0.0001543996,0.00031043965,0.00026409363,0.000019053301,0.003165766,0.96476704,0.020352308,0.0012895712,0.000043835294,0.009594524],"study_design_scores_gemma":[0.00040686483,0.0000896381,0.0022128946,0.00014659618,0.00005360059,0.00002306073,0.0002887441,0.95405954,0.033148542,0.000020059499,0.00905966,0.00049079175],"about_ca_topic_score_codex":0.0000014239466,"about_ca_topic_score_gemma":0.000013034025,"teacher_disagreement_score":0.50147015,"about_ca_system_score_codex":0.000057320714,"about_ca_system_score_gemma":0.000059297094,"threshold_uncertainty_score":0.9448534},"labels":[],"label_agreement":null},{"id":"W3191429217","doi":"","title":"Alimentation traction du métro de Montréal","year":2004,"lang":"fr","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Traction (geology); Geology; Geomorphology","score_opus":0.005472214999853177,"score_gpt":0.20138782895722226,"score_spread":0.1959156139573691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191429217","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15685846,0.0104788635,0.8191688,0.008961122,0.001292733,0.0005642747,0.00012933434,0.0017797151,0.0007667171],"genre_scores_gemma":[0.78923714,0.0052276207,0.20087668,0.00064094085,0.0009586417,0.00038103387,0.00013591528,0.0002905671,0.0022514593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99690753,0.0000963174,0.00071671174,0.00050930167,0.0004287383,0.0013414194],"domain_scores_gemma":[0.9983376,0.000105062085,0.00017141101,0.0007068253,0.00010500211,0.00057407253],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00064503995,0.0006675701,0.0004896284,0.00050749764,0.00028753,0.0003118357,0.00037400963,0.00077502977,0.00006747053],"category_scores_gemma":[0.00012277052,0.0008585566,0.0003194759,0.00065010786,0.000087267625,0.0008873554,0.00007362419,0.00096460414,0.00013267355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055065808,0.00029032084,0.0030713424,0.00016873026,0.00015971743,0.00019372042,0.0007855924,0.919935,0.020307202,0.034785926,0.0022522323,0.017995158],"study_design_scores_gemma":[0.0015864287,0.0002402933,0.029631305,0.00026982912,0.00021449133,0.00089305005,0.00025724384,0.9326608,0.018350411,0.0046752323,0.010219444,0.0010014729],"about_ca_topic_score_codex":0.058705892,"about_ca_topic_score_gemma":0.0079061445,"teacher_disagreement_score":0.6323787,"about_ca_system_score_codex":0.0049995733,"about_ca_system_score_gemma":0.0002727351,"threshold_uncertainty_score":0.9993865},"labels":[],"label_agreement":null},{"id":"W3195130056","doi":"10.1177/09544097211041459","title":"Use of measured accelerations from a passenger rail car to evaluate ride quality and track roughness – A case study","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; University of Alberta","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; University of Alberta; Transport Canada","keywords":"Envelope (radar); Acceleration; Ride quality; Surface finish; Track (disk drive); Surface roughness; Computer science; Axle load; Structural engineering; Automotive engineering; Axle; Engineering; Simulation; Mechanical engineering; Materials science; Physics; Telecommunications","score_opus":0.0554645125092359,"score_gpt":0.26591276341160364,"score_spread":0.21044825090236774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195130056","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":[0.9870632,0.00059628586,0.0113966875,0.00027070817,0.00037490332,0.00019902801,0.00006180406,0.000023863415,0.000013482063],"genre_scores_gemma":[0.9964833,0.00026278727,0.0031516508,0.0000116845285,0.000058665348,0.0000052638084,0.0000011999254,0.00001728517,0.000008116244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984307,0.000026492397,0.000852095,0.00015555239,0.00038391032,0.00015119188],"domain_scores_gemma":[0.9988013,0.00011644866,0.00017740877,0.00011342827,0.00063323934,0.00015816822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067308673,0.00019527052,0.0005712289,0.000121057936,0.000060686634,0.00003274871,0.0001291699,0.000109479726,0.000005573004],"category_scores_gemma":[0.00035284256,0.00015372151,0.00016386155,0.00033512083,0.00005826811,0.0003300236,0.000026077145,0.00029249646,9.55187e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030838474,0.0004747974,0.00038735315,0.00078950304,0.0012329856,0.000081470476,0.0062564737,0.5357265,0.44781673,0.001855517,0.00011680296,0.004953524],"study_design_scores_gemma":[0.013853765,0.0018263651,0.011983243,0.0029273662,0.0035650951,0.004279901,0.01484839,0.3605292,0.5813416,0.0008074245,0.002275016,0.0017626183],"about_ca_topic_score_codex":0.000035084908,"about_ca_topic_score_gemma":0.000024173856,"teacher_disagreement_score":0.17519726,"about_ca_system_score_codex":0.00003131508,"about_ca_system_score_gemma":0.00006163561,"threshold_uncertainty_score":0.6268582},"labels":[],"label_agreement":null},{"id":"W3196622294","doi":"10.1177/09544097211041874","title":"The development of a representative multidimensional transient duty cycle for in-service switcher locomotives","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","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":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive engineering; Duty cycle; Engineering; Train; Driving cycle; Transient (computer programming); Propulsion; Power (physics); Electrical engineering; Computer science; Voltage; Electric vehicle","score_opus":0.0115146344931357,"score_gpt":0.21688653171472314,"score_spread":0.20537189722158744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196622294","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":[0.92291766,0.0011716868,0.07460559,0.00055193907,0.0004469167,0.00020282045,0.000014956607,0.00001307114,0.00007537946],"genre_scores_gemma":[0.984435,0.00031656853,0.015189843,0.0000070125434,0.000025863574,0.000006155231,8.815597e-7,0.000011440348,0.000007226532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880165,0.0000067429487,0.0006906516,0.000094254196,0.0002614507,0.00014525947],"domain_scores_gemma":[0.9991869,0.00012444322,0.00014937132,0.000055826065,0.00042344994,0.000060064267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000534596,0.00013010368,0.00031530467,0.000070302594,0.000055181445,0.000006224966,0.0001489135,0.00007642845,0.0000020064017],"category_scores_gemma":[0.000105151135,0.00008587854,0.00014501711,0.00025936667,0.000065699154,0.00011481901,0.000016281814,0.00020280413,5.7091576e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004028092,0.0002267867,0.0000642429,0.0012934607,0.0005374819,0.000002041451,0.006699171,0.5565904,0.41495523,0.014117763,0.00007444627,0.005036157],"study_design_scores_gemma":[0.0034607563,0.00016850588,0.0018215661,0.0012791483,0.00014413647,0.000069667505,0.0026667586,0.18143019,0.8057063,0.0006821376,0.0023067687,0.00026405274],"about_ca_topic_score_codex":0.0000011953713,"about_ca_topic_score_gemma":0.0000074037057,"teacher_disagreement_score":0.39075106,"about_ca_system_score_codex":0.000030514693,"about_ca_system_score_gemma":0.00008212742,"threshold_uncertainty_score":0.35020253},"labels":[],"label_agreement":null},{"id":"W3199648936","doi":"10.18280/ejee.230406","title":"Running Status Diagnosis of S700K Turnout Based on VMD-KPCA and Fuzzy Clustering","year":2021,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Turnout; Cluster analysis; Fuzzy logic; Fault (geology); Artificial intelligence; Membership function; Pattern recognition (psychology); Computer science; Engineering; Algorithm; Data mining; Mathematics; Fuzzy set","score_opus":0.005444536073693312,"score_gpt":0.17964410673255063,"score_spread":0.17419957065885733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199648936","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":[0.5779232,0.006269894,0.41008607,0.00007245297,0.00103003,0.000098338314,0.000014418392,0.0003011626,0.0042044646],"genre_scores_gemma":[0.9840366,0.0005331808,0.015082682,0.000025270874,0.00019523923,0.0000011981888,0.0000029840635,0.00010774829,0.000015067372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984777,0.000045627345,0.00060415023,0.00015293703,0.0002900376,0.0004295322],"domain_scores_gemma":[0.9990927,0.00024738818,0.00009570172,0.00019311563,0.00010644225,0.0002646776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003737094,0.00025641496,0.00040567102,0.00035408567,0.000030243711,0.000051726256,0.00015416878,0.00004748004,0.00001001449],"category_scores_gemma":[0.00034551986,0.00026065623,0.00014287228,0.00047639478,0.00001427895,0.00011041578,0.000033864762,0.0006155102,0.0000027464275],"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":[0.000016667696,0.000029139926,0.00064987224,0.00013050577,0.000065465356,0.00034191387,0.00009024099,0.97899,0.00962824,0.00006407873,0.00007592572,0.009917956],"study_design_scores_gemma":[0.00081608165,0.00030882232,0.008281084,0.00045598563,0.000045964345,0.00013895045,0.000014565497,0.981111,0.006486323,0.0000041812964,0.0020330683,0.00030397138],"about_ca_topic_score_codex":6.899599e-7,"about_ca_topic_score_gemma":2.792841e-7,"teacher_disagreement_score":0.40611348,"about_ca_system_score_codex":0.000100070785,"about_ca_system_score_gemma":0.000034173245,"threshold_uncertainty_score":0.99998456},"labels":[],"label_agreement":null},{"id":"W3201828276","doi":"10.1061/jtepbs.0000601","title":"Evaluating Rail Surface Roughness from Axle-Box Acceleration Measurements: Computational Metrology Approach","year":2021,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; University of Alberta","funders":"","keywords":"Surface roughness; Axle; Surface finish; Accelerometer; Acceleration; Root mean square; Axle load; Structural engineering; Engineering; Acoustics; Materials science; Mechanical engineering; Computer science; Electrical engineering; Physics; Composite material","score_opus":0.05066183453967479,"score_gpt":0.26291805996182793,"score_spread":0.21225622542215314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201828276","genre_codex":"methods","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":[0.40213382,0.0023468647,0.5931145,0.000015308638,0.0020568687,0.000091644426,0.000061929226,0.0001311026,0.000047952595],"genre_scores_gemma":[0.95063835,0.000027494458,0.04843196,0.0000072358343,0.00039835874,0.000010973963,0.0003935191,0.00006549542,0.0000266149],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977769,0.00005871724,0.0010528192,0.00019011182,0.0006642443,0.0002571989],"domain_scores_gemma":[0.9988415,0.00013959351,0.00021045301,0.00016481683,0.0005151141,0.00012849484],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060488953,0.00025963306,0.00050047564,0.00014578325,0.000049020968,0.000097209246,0.00015148698,0.00015195554,0.000016815422],"category_scores_gemma":[0.000055287957,0.00028176798,0.00015967099,0.00035282,0.000009658339,0.0003773173,0.0000025522468,0.00033246947,0.0000042294737],"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":[0.000013000312,0.000037124693,0.00072321185,0.00021208118,0.00033195244,0.000019135214,0.00047163558,0.9868142,0.010916147,0.000096171454,0.000153381,0.00021195575],"study_design_scores_gemma":[0.00094855524,0.00004226748,0.004907969,0.00016937513,0.00012461234,0.000041361436,0.00016802104,0.9914221,0.001107828,0.00000973202,0.000794101,0.00026407564],"about_ca_topic_score_codex":0.000011889784,"about_ca_topic_score_gemma":0.000004950352,"teacher_disagreement_score":0.54850453,"about_ca_system_score_codex":0.00016955155,"about_ca_system_score_gemma":0.000086699096,"threshold_uncertainty_score":0.99996346},"labels":[],"label_agreement":null},{"id":"W3213530676","doi":"10.1115/imece2001/de-23218","title":"Induced Vibration of Suspension Bridges Traversed by Moving Vehicles","year":2001,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Deflection (physics); Vibration; Structural engineering; Moving load; Bending moment; Influence line; Suspension (topology); Span (engineering); Vehicle dynamics; Engineering; Mechanics; Physics; Mathematics; Classical mechanics; Finite element method; Acoustics; Automotive engineering","score_opus":0.008312601156918911,"score_gpt":0.1905104422245927,"score_spread":0.18219784106767378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213530676","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":[0.93993664,0.00004047084,0.056480616,0.00002025493,0.00011831251,0.00004240173,0.0000029254788,0.00028030213,0.0030780623],"genre_scores_gemma":[0.9989112,0.0000570546,0.00078799605,0.000009822431,0.000021856782,0.0000013549284,0.00001572635,0.000019119108,0.00017584655],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996001,0.0000043942373,0.00013012433,0.000070114744,0.000082966704,0.000112258924],"domain_scores_gemma":[0.9998156,0.0000224378,0.000011550715,0.00010057615,0.000016186403,0.00003363803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004374966,0.00007957144,0.00009423956,0.000051296036,0.000014776722,0.000010911946,0.00004767836,0.00005897982,0.000031869167],"category_scores_gemma":[0.000008723052,0.000080557875,0.000025249328,0.000084815685,0.0000059476242,0.00009626971,0.000005871741,0.000060529925,0.000010349305],"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":[0.0000034078596,0.000009185712,0.00039573558,0.000020574276,0.000009596319,0.0000015874368,0.00008061907,0.17461085,0.8191109,0.0002565939,0.0006410634,0.004859927],"study_design_scores_gemma":[0.00018656134,0.00002172256,0.0049236068,0.000013698345,0.000004574005,0.0000036124418,0.000080976555,0.8430735,0.1512367,0.0000198602,0.00031920034,0.000116023955],"about_ca_topic_score_codex":0.000041099156,"about_ca_topic_score_gemma":0.000011477693,"teacher_disagreement_score":0.6684626,"about_ca_system_score_codex":0.000022621465,"about_ca_system_score_gemma":0.0000036910021,"threshold_uncertainty_score":0.3285055},"labels":[],"label_agreement":null},{"id":"W3216518781","doi":"10.1016/j.rhum.2021.10.144","title":"Apport de la séquence coronale STIR dans l’exploration par IRM des lomboradiculalgies d’allure mécanique","year":2021,"lang":"fr","type":"article","venue":"Revue du Rhumatisme","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotel Dieu Hospital","funders":"","keywords":"Medicine; Humanities; Philosophy","score_opus":0.010029367530493546,"score_gpt":0.2093973279219837,"score_spread":0.19936796039149016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216518781","genre_codex":"methods","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":[0.2900447,0.011850312,0.69053364,0.0010871239,0.00093663286,0.00020119282,0.0001803881,0.0005304019,0.0046356358],"genre_scores_gemma":[0.9065374,0.00893144,0.080639556,0.00003661686,0.00045744242,0.00007675571,0.00027714222,0.0001437965,0.0028998523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982663,0.00019137682,0.0004564872,0.00035657937,0.00018587818,0.00054340303],"domain_scores_gemma":[0.998884,0.00022474218,0.00008425388,0.0004585227,0.0001312149,0.00021726913],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046709747,0.00037811132,0.0004162872,0.00007836523,0.00017009265,0.00018768689,0.00022438279,0.0003721222,0.00015850934],"category_scores_gemma":[0.00021790127,0.0004939726,0.00014426759,0.00036184772,0.00022973702,0.00053206336,0.00005874972,0.0004902033,0.00009067165],"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":[0.000004096266,0.00011703325,0.00396537,0.00276509,0.0001747117,0.0012760361,0.013989465,0.88563657,0.012330726,0.06416205,0.0020707704,0.013508062],"study_design_scores_gemma":[0.0007027742,0.00011288878,0.06821402,0.0035393,0.0002577406,0.0032533421,0.0013802252,0.8682345,0.007576738,0.01864789,0.026686108,0.0013944396],"about_ca_topic_score_codex":0.00024402644,"about_ca_topic_score_gemma":0.00025355295,"teacher_disagreement_score":0.6164927,"about_ca_system_score_codex":0.00065074116,"about_ca_system_score_gemma":0.0002501395,"threshold_uncertainty_score":0.9997512},"labels":[],"label_agreement":null},{"id":"W35235470","doi":"10.1007/978-1-4419-9507-0_5","title":"Excitation techniques for testing bike vibration transmission in the laboratory","year":2011,"lang":"en","type":"book-chapter","venue":"Conference proceedings of the Society for Experimental Mechanics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Vibration; Displacement (psychology); Road surface; Range (aeronautics); Excitation; Acoustics; Work (physics); Actuator; Engineering; Simulation; Computer science; Structural engineering; Physics; Mechanical engineering; Aerospace engineering; Electrical engineering","score_opus":0.026831211731942216,"score_gpt":0.22740656793050798,"score_spread":0.20057535619856576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W35235470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010947894,0.005901027,0.9076935,0.00033331645,0.002115533,0.014369871,0.0009470893,0.0018672773,0.055824462],"genre_scores_gemma":[0.8454418,0.00049944414,0.14853628,0.00016640832,0.00032654093,0.0016302753,0.00010263967,0.00038711075,0.0029094594],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991357,0.0000012180309,0.00031632875,0.00019778508,0.00016940657,0.0001795872],"domain_scores_gemma":[0.9994308,0.0000622261,0.00014683937,0.00010435537,0.00023015378,0.000025664292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002676659,0.00027411216,0.0002333647,0.000040783343,0.000095434356,0.000043107204,0.00038291354,0.0003347146,0.0000035142184],"category_scores_gemma":[0.000026297683,0.00020967673,0.00034658244,0.00007009995,0.000032424945,0.00014939177,0.000026906593,0.00023888651,2.6186743e-7],"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":[0.000027580843,0.000038504124,8.158403e-7,0.001324228,0.00010483057,4.4861512e-8,0.010807227,0.00011835674,0.5713423,0.4106073,0.0011249217,0.0045038993],"study_design_scores_gemma":[0.0006315463,0.0005311532,0.000002503701,0.0017911234,0.00018676298,0.0000036279907,0.003664407,0.39468434,0.45244244,0.13525839,0.00993711,0.00086657674],"about_ca_topic_score_codex":0.0000012351968,"about_ca_topic_score_gemma":3.0385277e-7,"teacher_disagreement_score":0.83449394,"about_ca_system_score_codex":0.00011192174,"about_ca_system_score_gemma":0.00003787087,"threshold_uncertainty_score":0.85503685},"labels":[],"label_agreement":null},{"id":"W4200603653","doi":"10.1155/2021/5642709","title":"Multiscenario-Based Train Headway Analysis under Virtual Coupling System","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Headway; Train; Coupling (piping); Computer science; Simulation; Virtual machine; Engineering; Real-time computing","score_opus":0.005320752226802344,"score_gpt":0.20902369952466068,"score_spread":0.20370294729785834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200603653","genre_codex":"methods","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":[0.48638195,0.00024744062,0.51290125,0.000017204868,0.0003324614,0.000021953485,0.000018042543,0.000065274595,0.000014454076],"genre_scores_gemma":[0.9828929,0.000042290732,0.016861161,0.000009964983,0.000064776155,0.000001783009,0.0000827186,0.000028730803,0.000015727943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899554,0.0000078294515,0.0005090641,0.00009726449,0.0002387863,0.0001515339],"domain_scores_gemma":[0.9994612,0.000059900613,0.00010546121,0.00010862669,0.00017445958,0.00009038785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012634444,0.00013283012,0.00031386258,0.00022304399,0.00003321877,0.00002025435,0.00006324331,0.000069859576,0.000008952329],"category_scores_gemma":[0.0000086827085,0.00013689378,0.0002388963,0.0005544239,0.000009414783,0.00017761903,3.9455358e-7,0.00020620158,0.0000011856025],"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":[0.000019770398,0.000019283629,0.0003733068,0.00008412117,0.00028714148,0.00008783559,0.00026011717,0.9839465,0.013855082,0.00027116388,0.0000029074074,0.000792789],"study_design_scores_gemma":[0.0010104439,0.000051429182,0.04192177,0.00014144038,0.00048070165,0.000011504653,0.0013582644,0.95080894,0.0039120815,0.000011483817,0.000104638515,0.00018727762],"about_ca_topic_score_codex":0.0000016317873,"about_ca_topic_score_gemma":0.00007514776,"teacher_disagreement_score":0.4965109,"about_ca_system_score_codex":0.00013200345,"about_ca_system_score_gemma":0.00004767233,"threshold_uncertainty_score":0.55823666},"labels":[],"label_agreement":null},{"id":"W4206090229","doi":"10.1016/j.apm.2021.12.053","title":"Mitigation of railway-induced vibrations by using periodic wave impeding barriers","year":2022,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; Science and Technology Commission of Shanghai Municipality","keywords":"Vibration; Stiffness; Transfer matrix; Range (aeronautics); Half-space; Rayleigh scattering; Mechanics; Structural engineering; Acoustics; Materials science; Mathematical analysis; Physics; Mathematics; Engineering; Computer science; Optics","score_opus":0.017028908129812472,"score_gpt":0.20477115720129976,"score_spread":0.1877422490714873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206090229","genre_codex":"methods","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":[0.41998526,0.00003119829,0.5784002,0.000006987635,0.00006219819,0.00013340611,0.000019754274,0.00016035856,0.0012006197],"genre_scores_gemma":[0.96837723,0.000005274949,0.031405605,0.000009625833,0.000030303789,0.000068450674,0.000027913626,0.00006436491,0.000011208622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887776,0.000010296812,0.0003966555,0.00017107245,0.00027864028,0.0002655876],"domain_scores_gemma":[0.99950105,0.0001097937,0.000050492494,0.00020399348,0.000018172574,0.000116482406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019628026,0.00017520097,0.00025652564,0.00010458944,0.00019522644,0.000028896256,0.00011475652,0.00006495873,0.000119085074],"category_scores_gemma":[0.000016008333,0.00020459185,0.000069891066,0.00023470855,0.000025842643,0.00007624794,0.000045478373,0.0002687511,0.0000038976264],"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":[0.0000024305216,0.000008297775,5.3813056e-7,0.0001092797,0.000023030387,5.7038505e-7,0.0017178619,0.86493677,0.11772658,0.015311328,0.000021912692,0.00014140642],"study_design_scores_gemma":[0.00015888222,0.000012289533,8.446203e-8,0.000017631932,0.00003068789,0.000006920136,0.001304963,0.9789448,0.010160326,0.00914143,0.000021889897,0.00020008633],"about_ca_topic_score_codex":0.0000019448935,"about_ca_topic_score_gemma":7.446707e-8,"teacher_disagreement_score":0.548392,"about_ca_system_score_codex":0.00012007233,"about_ca_system_score_gemma":0.000025758745,"threshold_uncertainty_score":0.83430135},"labels":[],"label_agreement":null},{"id":"W4206804039","doi":"10.1115/jrc2020-8059","title":"Estimating the Inner Ring Defect Size and Residual Service Life of Freight Railcar Bearings Using Vibration Signatures","year":2020,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bearing (navigation); Spall; Condition monitoring; Automotive engineering; Engineering; Vibration; Residual; Schedule; Preventive maintenance; Computer science; Reliability engineering; Structural engineering; Electrical engineering; Artificial intelligence","score_opus":0.011003113151413583,"score_gpt":0.19666997207671033,"score_spread":0.18566685892529675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206804039","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":[0.8821987,0.00028840962,0.11625324,0.0002554474,0.00009848116,0.00009364474,0.0000046198693,0.00027836883,0.00052907923],"genre_scores_gemma":[0.9499809,0.0000045534694,0.04956184,0.0002577896,0.00015083676,0.0000022735517,0.0000033719407,0.000034132954,0.0000042775355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937576,0.000014303211,0.00020202425,0.00013113295,0.00012628683,0.00015046334],"domain_scores_gemma":[0.9995616,0.00018398353,0.000031173528,0.00011704146,0.00003267786,0.00007352293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010890461,0.00013754332,0.00015302414,0.000027926291,0.000066256835,0.000050421357,0.00010329236,0.00007627342,0.000009970189],"category_scores_gemma":[0.00019873682,0.00010796902,0.000032152373,0.00022831117,0.000016043014,0.00014523293,0.00005324743,0.00020315313,0.0000017552395],"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":[0.0000035518626,0.0000014805071,0.00020974586,0.00018138152,0.00003408396,7.7454035e-7,0.00080983766,0.9418503,0.056474503,0.00028140994,0.000030898675,0.00012199986],"study_design_scores_gemma":[0.00015068256,0.000012918255,0.0022278498,0.000039920036,0.000027876182,0.0000023293687,0.0000870528,0.9937935,0.0034546233,0.00005001399,0.000023630706,0.00012962625],"about_ca_topic_score_codex":0.000048003993,"about_ca_topic_score_gemma":0.000009295568,"teacher_disagreement_score":0.067782216,"about_ca_system_score_codex":0.000012600044,"about_ca_system_score_gemma":0.000012734182,"threshold_uncertainty_score":0.44028488},"labels":[],"label_agreement":null},{"id":"W4210477231","doi":"10.1155/2022/8370796","title":"A Heavy-Haul Railway Corrugation Diagnosis Method Based on WPD-ASTFT and SVM","year":2022,"lang":"en","type":"article","venue":"Shock and Vibration","topic":"Railway Engineering and Dynamics","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 Toronto","funders":"China Academy of Railway Sciences","keywords":"Particle swarm optimization; Support vector machine; Short-time Fourier transform; Entropy (arrow of time); Computer science; Time–frequency analysis; Fast Fourier transform; Fourier transform; Algorithm; Engineering; Pattern recognition (psychology); Simulation; Artificial intelligence; Fourier analysis; Mathematics; Radar","score_opus":0.006564888667214054,"score_gpt":0.21291073946753755,"score_spread":0.2063458508003235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210477231","genre_codex":"methods","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":[0.35553837,0.0003490132,0.64078957,0.0004819768,0.00060304627,0.00030027181,0.00007233939,0.00045501607,0.0014103872],"genre_scores_gemma":[0.9939521,0.00005362372,0.0054860474,0.00014603249,0.00005913645,0.00012068905,0.00009732985,0.000026666024,0.000058367954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942154,0.0000385314,0.00012315631,0.00015492945,0.00012835787,0.00013348753],"domain_scores_gemma":[0.99969864,0.00011255417,0.000017471424,0.000107550084,0.00001033029,0.00005346449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017952471,0.00011463924,0.00010674909,0.0001083691,0.00017851497,0.000045375768,0.000034361972,0.0000401538,0.000042477477],"category_scores_gemma":[0.00002051743,0.00012482361,0.000021947893,0.00014071297,0.000007734261,0.00010016304,0.000020385016,0.00013914477,0.0000019257711],"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":[0.000021265736,0.000018632241,0.00097607606,0.000045378663,0.000008467794,0.0000016124372,0.0002345422,0.97981495,0.0009187721,0.00076035806,0.00055886066,0.016641064],"study_design_scores_gemma":[0.00029974477,0.00013150477,0.0036168373,0.000011045536,0.000011534404,0.0000044566195,0.00006796324,0.9915576,0.0010657766,0.00015133421,0.0029382,0.00014402068],"about_ca_topic_score_codex":0.00000947879,"about_ca_topic_score_gemma":0.0000071298996,"teacher_disagreement_score":0.6384137,"about_ca_system_score_codex":0.000047385864,"about_ca_system_score_gemma":0.000009543146,"threshold_uncertainty_score":0.5090159},"labels":[],"label_agreement":null},{"id":"W4210875059","doi":"10.22214/ijraset.2022.40237","title":"Analysis of Materials Used in Hyperloop Capsule","year":2022,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Railway Engineering and Dynamics","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":"Horizon College and Seminary","funders":"","keywords":"Capsule; Construction engineering; Natural materials; Computer science; Civil engineering; Forensic engineering; Environmental science; Materials science; Engineering; Polymer science; Geology","score_opus":0.03342570653388015,"score_gpt":0.3353592099094212,"score_spread":0.30193350337554103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210875059","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":[0.9964201,0.000072745366,0.002569668,0.00017393116,0.00044414046,0.000114610746,0.00003649914,0.000052257983,0.00011607842],"genre_scores_gemma":[0.99842596,0.000062525556,0.0013680831,0.0000027320398,0.000018942066,0.00009830658,0.0000046986893,0.000011905204,0.0000068475183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986278,0.000006422793,0.0002781311,0.0001511498,0.0005825237,0.00035396422],"domain_scores_gemma":[0.9996455,0.00006179055,0.000021607624,0.00011364035,0.000112416456,0.000045063254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024688262,0.00007362699,0.00019040155,0.0080559235,0.000071333525,0.00004716289,0.0006689461,0.00004541385,0.000009260554],"category_scores_gemma":[0.00012917508,0.00008094489,0.000022147922,0.004018107,0.000120534525,0.00006930394,0.00016805787,0.000440162,3.1927146e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008141629,0.000015771999,0.00037017313,0.000010508279,0.000046780726,0.000012113538,0.00010736337,0.6761361,0.30980694,0.011637571,0.00001059122,0.0018379702],"study_design_scores_gemma":[0.0005545289,0.00005754807,0.0020325202,0.00001998144,0.000009291148,0.000048971273,0.00047285276,0.9698425,0.023524787,0.001915889,0.0013713391,0.00014981284],"about_ca_topic_score_codex":0.000010330223,"about_ca_topic_score_gemma":0.0000053081844,"teacher_disagreement_score":0.2937064,"about_ca_system_score_codex":0.00041760024,"about_ca_system_score_gemma":0.00005977234,"threshold_uncertainty_score":0.7188217},"labels":[],"label_agreement":null},{"id":"W4213151421","doi":"10.1016/j.ijsolstr.2022.111516","title":"A fast method to estimate the multiaxial non-proportional elastic–plastic stress–strain in rail rolling contact fatigue problems","year":2022,"lang":"en","type":"article","venue":"International Journal of Solids and Structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Vale Canada Limited","keywords":"Finite element method; Plasticity; Structural engineering; Materials science; Stress (linguistics); Constitutive equation; Linear elasticity; Kinematics; Engineering; Composite material; Physics; Classical mechanics","score_opus":0.00881224607737781,"score_gpt":0.2838919269384656,"score_spread":0.2750796808610878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213151421","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":[0.5787103,0.00014611548,0.41874698,0.00026032407,0.0016364049,0.00010926019,0.00030202008,0.000022046986,0.000066551795],"genre_scores_gemma":[0.98792166,0.000013122928,0.011717722,0.000032031396,0.00026140257,0.0000105485515,0.00001612169,0.000019368694,0.00000802567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885756,0.000027940989,0.00041179202,0.000101427955,0.0004366811,0.0001645817],"domain_scores_gemma":[0.99952155,0.00016650761,0.0000947421,0.000054261916,0.00008795638,0.00007499343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027484365,0.00014020629,0.00018112721,0.00022405753,0.00007376018,0.0000844664,0.00028599228,0.0000321448,0.000042993033],"category_scores_gemma":[0.00007215872,0.00010678257,0.000062349136,0.000092076254,0.000016343654,0.00008856478,0.000059402115,0.0004310066,2.9187626e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050674866,0.000011356566,0.001755885,0.000017172202,0.00009400449,0.000051950414,0.00072208134,0.9879404,0.0034505513,0.0009562804,0.000034415563,0.004915229],"study_design_scores_gemma":[0.0008586307,0.0001310101,0.048405327,0.000078719604,0.000018440995,0.00039934373,0.00029002296,0.9470277,0.00024276179,0.0019405859,0.00043800552,0.00016948035],"about_ca_topic_score_codex":0.000014841291,"about_ca_topic_score_gemma":0.0000260747,"teacher_disagreement_score":0.40921134,"about_ca_system_score_codex":0.000101106314,"about_ca_system_score_gemma":0.00003703142,"threshold_uncertainty_score":0.43544668},"labels":[],"label_agreement":null},{"id":"W4220826455","doi":"10.1139/cgj-2021-0562","title":"Geotechnical rheological modeling of ballasted railway tracks considering the effect of principal stress rotation","year":2022,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Geotechnical engineering; Track (disk drive); Substructure; Deformation (meteorology); Structural engineering; Rotation (mathematics); Stress (linguistics); Geology; Rheology; Stress path; Engineering; Shear (geology); Computer science; Geometry; Mechanical engineering; Materials science; Mathematics","score_opus":0.00867296142880581,"score_gpt":0.2015815951027086,"score_spread":0.1929086336739028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220826455","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":[0.90110767,0.00041925072,0.097165726,0.00017284644,0.00039430466,0.00028234467,0.000093203686,0.00014601162,0.00021865038],"genre_scores_gemma":[0.99942,0.000028789746,0.00037966616,0.000017741086,0.00006768217,0.000027571947,0.000010903819,0.00003804615,0.000009598687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820644,0.00014130468,0.00063955074,0.00015901236,0.0003880194,0.00046568696],"domain_scores_gemma":[0.998953,0.0002790147,0.00009530332,0.00028577624,0.000059536258,0.0003273864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097169017,0.00020713636,0.00038635512,0.000255959,0.00022792592,0.000026642034,0.00049365783,0.00017411174,0.000120281926],"category_scores_gemma":[0.00027380628,0.00016809817,0.00020197281,0.0003350385,0.00010616215,0.00006383114,0.00007583619,0.0014947029,0.0000012744135],"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":[0.000023453813,0.0000072596567,0.0001943262,0.000039451435,0.000046315017,0.000047817673,0.000047760866,0.9965709,0.000828953,0.0002915346,0.000058222744,0.0018440324],"study_design_scores_gemma":[0.00041222063,0.00028360047,0.00038794268,0.00004814841,0.000038692524,0.00044219304,0.000075082186,0.99718237,0.00043485346,0.00011398081,0.00040981063,0.00017113327],"about_ca_topic_score_codex":0.0006096704,"about_ca_topic_score_gemma":0.00037811446,"teacher_disagreement_score":0.09831234,"about_ca_system_score_codex":0.00032205894,"about_ca_system_score_gemma":0.00015332409,"threshold_uncertainty_score":0.6854844},"labels":[],"label_agreement":null},{"id":"W4221027765","doi":"10.1139/tcsme-2020-0202","title":"Integrated simulation platform for a locomotive braking system","year":2022,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automotive engineering; Dynamic braking; Electronic brakeforce distribution; Braking system; Engine braking; Threshold braking; Brake; Retarder; Anti-lock braking system; Engineering; Braking distance; Hydraulic brake","score_opus":0.011168872781472217,"score_gpt":0.19488214656292918,"score_spread":0.18371327378145696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221027765","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064253123,0.000041466716,0.99054575,0.00003847974,0.0010096165,0.00066583813,0.0009389961,0.00030093337,0.000033620356],"genre_scores_gemma":[0.9858803,0.0000011597199,0.013590355,0.000014997364,0.00003538985,0.0003229371,0.000033262128,0.000070521404,0.00005103877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991617,0.0000038521803,0.0002453134,0.00013055101,0.00013304803,0.00032551037],"domain_scores_gemma":[0.99944353,0.00015946661,0.000028219238,0.0001962338,0.000053065098,0.00011946536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020987746,0.00015647747,0.0001896902,0.00007762818,0.00038492872,0.000018008675,0.00024398738,0.000097008786,0.000009701395],"category_scores_gemma":[0.00001885602,0.00016128407,0.0005285559,0.00035037415,0.00001054209,0.00006940232,0.000005981233,0.00029573817,2.137394e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004523596,0.0000044616927,2.6217606e-7,0.00023103204,0.00012952324,9.256501e-8,0.0001957174,0.99391985,0.001170163,0.0034056597,0.000060118487,0.0008786096],"study_design_scores_gemma":[0.00033109958,0.000039520623,0.0000026807168,0.000039308023,0.00006848772,0.0000051929496,0.00038424696,0.99184495,0.0011349769,0.000054443186,0.0059288046,0.00016629395],"about_ca_topic_score_codex":0.0008460593,"about_ca_topic_score_gemma":0.0016963895,"teacher_disagreement_score":0.97945505,"about_ca_system_score_codex":0.0013100841,"about_ca_system_score_gemma":0.00009837666,"threshold_uncertainty_score":0.6576973},"labels":[],"label_agreement":null},{"id":"W4225133308","doi":"10.11159/icgre22.231","title":"Differential Settlement and Dynamic Load Effects across Lime Treated Rail Transition Zones","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Differential (mechanical device); Transition (genetics); Lime; Computer science; Materials science; Engineering; Chemistry; Metallurgy; Aerospace engineering; World Wide Web","score_opus":0.0021421676618635544,"score_gpt":0.16847402858195284,"score_spread":0.16633186092008928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225133308","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":[0.9981157,0.0003742425,0.000092048715,0.00005387663,0.00065161334,0.0002646504,0.00023172321,0.00016400458,0.000052117794],"genre_scores_gemma":[0.99936044,0.00014649752,0.00012566181,0.000012916938,0.00002709556,0.000055242104,0.000026591522,0.000058576792,0.00018697826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988814,0.000004260795,0.00022510625,0.0002582553,0.00030204246,0.00032890952],"domain_scores_gemma":[0.99972135,0.000037283335,0.00005030592,0.00010152984,0.000005159769,0.00008434664],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000057261394,0.00031887175,0.00026854197,0.00008877453,0.00021717332,0.000052987925,0.00017275877,0.000042923406,0.000028102555],"category_scores_gemma":[0.0000042030915,0.0002825108,0.00007411159,0.00013592278,0.00007428527,0.00012796492,0.00014263554,0.00030928449,3.9202146e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011719451,0.00004936224,0.0019404034,0.0012890745,0.00033719832,0.0000060428306,0.001466649,0.6629636,0.3259562,0.0005820259,0.00016376404,0.005128485],"study_design_scores_gemma":[0.0014384263,0.00016190388,0.034129757,0.00018789778,0.00009755148,0.000061018945,0.00032599756,0.94060177,0.02182425,0.00009059352,0.0004564164,0.0006244029],"about_ca_topic_score_codex":0.000005355128,"about_ca_topic_score_gemma":0.000007058478,"teacher_disagreement_score":0.30413195,"about_ca_system_score_codex":0.00020515575,"about_ca_system_score_gemma":0.0000018870932,"threshold_uncertainty_score":0.9999627},"labels":[],"label_agreement":null},{"id":"W4229018343","doi":"10.1177/09544097221076258","title":"Carrydown of liquid friction modifier","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"L.B. Foster Rail Technologies (Canada); University of British Columbia","funders":"","keywords":"Track (disk drive); Enhanced Data Rates for GSM Evolution; Tangent; Optics; Materials science; Acoustics; Physics; Engineering; Mechanical engineering; Geometry; Mathematics","score_opus":0.0072784628414402875,"score_gpt":0.17609613300022028,"score_spread":0.16881767015878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229018343","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":[0.9758111,0.0012775246,0.020841962,0.0002173593,0.0012674851,0.00012388702,0.000040857787,0.000037387486,0.00038240105],"genre_scores_gemma":[0.998454,0.0004931744,0.0009522361,0.0000065045983,0.0000630373,0.0000034888424,8.6381846e-7,0.000014648207,0.000012083981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998784,0.000006300114,0.0005954228,0.00007972548,0.00039930714,0.00013521532],"domain_scores_gemma":[0.99946225,0.000026308871,0.00019657936,0.00006379698,0.00017820999,0.00007288271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046301668,0.00013516237,0.0003521801,0.00017706449,0.00006445809,0.000004852053,0.00022977272,0.00007420253,0.000016095955],"category_scores_gemma":[0.000039439896,0.00010763022,0.00020801548,0.00031157344,0.00006493371,0.00015492689,0.000027566539,0.00037000127,8.277133e-8],"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":[0.00018601364,0.00006526807,0.000014928464,0.00040994122,0.0001814862,9.1001e-7,0.00053047546,0.80352455,0.18197936,0.011887468,0.00021941542,0.001000165],"study_design_scores_gemma":[0.004120465,0.0026262773,0.00042256908,0.0007972185,0.0006656188,0.00057377806,0.0015340649,0.4714799,0.50292563,0.0009903956,0.013190067,0.0006740059],"about_ca_topic_score_codex":0.0000024356693,"about_ca_topic_score_gemma":1.6207446e-7,"teacher_disagreement_score":0.3320447,"about_ca_system_score_codex":0.00004417594,"about_ca_system_score_gemma":0.00003163325,"threshold_uncertainty_score":0.4389033},"labels":[],"label_agreement":null},{"id":"W4229754739","doi":"10.32920/ryerson.14653302","title":"Curved Concrete Slab-On-Steel I-Girder Bridges","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Structural engineering; Curvature; Image warping; Slab; Deflection (physics); Girder; Parametric statistics; Finite element method; Moment distribution method; Engineering; Moment (physics); Mathematics; Geometry; Computer science; Physics","score_opus":0.0115075805213564,"score_gpt":0.21070349724648052,"score_spread":0.19919591672512413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229754739","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":[0.67558014,0.0033873268,0.16992356,0.0002314514,0.010317061,0.00057077105,0.00032140544,0.006516324,0.13315193],"genre_scores_gemma":[0.98703873,0.0007696949,0.006309574,0.0001345612,0.00044339706,0.00006245764,0.00047069488,0.00022540317,0.004545503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985673,0.000022098446,0.00033025406,0.00044173544,0.00024392812,0.0003947059],"domain_scores_gemma":[0.9988343,0.00008781613,0.000029741,0.0008341153,0.00007338626,0.00014062854],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011551706,0.00048684393,0.00049391366,0.00012482659,0.000030123418,0.00018373097,0.0003155874,0.000451784,0.00020253901],"category_scores_gemma":[0.000044432367,0.00051388977,0.00021773615,0.00010333563,0.000024793459,0.00004740771,0.00021235531,0.00095650635,0.000120329],"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":[0.0000022259694,0.000003370486,0.00006850545,0.0003686595,0.00016552155,0.000040932457,0.00011396975,0.99234,0.0009840819,0.00058467465,0.004396015,0.000931997],"study_design_scores_gemma":[0.00029126147,0.000019404612,0.0014233486,0.0003120182,0.00004362933,0.000012666126,0.000088127425,0.98465025,0.0033082978,0.00004101418,0.008860854,0.0009491195],"about_ca_topic_score_codex":0.00004395241,"about_ca_topic_score_gemma":0.000014957269,"teacher_disagreement_score":0.31145853,"about_ca_system_score_codex":0.000120975215,"about_ca_system_score_gemma":0.000049324586,"threshold_uncertainty_score":0.99973124},"labels":[],"label_agreement":null},{"id":"W4232407504","doi":"10.5589/casj5501fi","title":"Full Issue in PDF / Numéro complet enform PDF","year":2009,"lang":"fr","type":"article","venue":"Canadian aeronautics and space journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telecommunications; Engineering; Aeronautics; Computer science","score_opus":0.006087210078371361,"score_gpt":0.19520902008518906,"score_spread":0.18912181000681771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232407504","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":[0.4324537,0.07069841,0.021192813,0.13242607,0.023413446,0.00078699825,0.0004355326,0.00018044504,0.3184126],"genre_scores_gemma":[0.91421217,0.00982421,0.011255116,0.0012058598,0.0027711901,0.0000021380524,0.00003964189,0.0001015536,0.060588095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981718,0.000022362812,0.0004074947,0.00017781703,0.0001836586,0.0010368644],"domain_scores_gemma":[0.9981907,0.00003876392,0.00005552747,0.00019246867,0.00005563802,0.0014668718],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003164585,0.0003332727,0.00037081816,0.00042177638,0.00017685993,0.00030207564,0.00019369584,0.00030229604,0.002624708],"category_scores_gemma":[0.000044789856,0.00039947324,0.000082732615,0.00027794004,0.000063757645,0.00020888691,0.000011876015,0.0011355535,0.0007786941],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046398025,0.0001099416,0.0025453877,0.0003372712,0.00020443382,0.003115743,0.0036870928,0.5871023,0.00050403783,0.04621983,0.26546258,0.090665005],"study_design_scores_gemma":[0.0006444048,0.0002327825,0.010671213,0.00026738006,0.000027628917,0.0011620843,0.00036270605,0.3180462,0.000006952984,0.0016941415,0.6664231,0.00046139883],"about_ca_topic_score_codex":0.0068950797,"about_ca_topic_score_gemma":0.1705408,"teacher_disagreement_score":0.4817585,"about_ca_system_score_codex":0.0010629814,"about_ca_system_score_gemma":0.00038821454,"threshold_uncertainty_score":0.99999934},"labels":[],"label_agreement":null},{"id":"W4234073552","doi":"10.32920/ryerson.14668638.v1","title":"Parametric study of curved steel I-girder bridges at construction phase.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","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":"Toronto Metropolitan University","funders":"","keywords":"Structural engineering; Girder; Image warping; Curvature; Torsion (gastropod); Engineering; Parametric statistics; Bending moment; Finite element method; Bracing; Computer science; Mathematics; Geometry","score_opus":0.01679283126750502,"score_gpt":0.2461559392993166,"score_spread":0.22936310803181156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234073552","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":[0.9598455,0.0005932857,0.03503277,0.0000035734947,0.0018967445,0.0003716214,0.00005189328,0.0006098082,0.0015948426],"genre_scores_gemma":[0.9953475,0.0002362402,0.0037472234,0.0000021048984,0.00007239534,0.000037697002,0.00013742415,0.0000706062,0.00034882358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986295,0.00003379229,0.0004864236,0.00035324247,0.00027214835,0.00022490026],"domain_scores_gemma":[0.9990306,0.000081887025,0.000076104,0.0006252318,0.00010918621,0.000077028075],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012168194,0.00033268277,0.0005590671,0.00032763366,0.000027136026,0.000054183696,0.00018992703,0.00025621706,0.000106913125],"category_scores_gemma":[0.000050170336,0.00035790604,0.00013160781,0.00034657127,0.00002763794,0.000047341113,0.00024259828,0.00045021554,0.000007336014],"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":[0.0000062938266,0.00025637873,0.0025068428,0.00038126428,0.00030805336,0.000010429906,0.00024452177,0.99215615,0.00042186223,0.000027660808,0.00018224897,0.0034983095],"study_design_scores_gemma":[0.0015784529,0.00013069613,0.008395655,0.000100301484,0.00015047203,0.00002233715,0.0014602405,0.9854963,0.0018711739,0.000015035605,0.00018670129,0.00059262756],"about_ca_topic_score_codex":0.00011650374,"about_ca_topic_score_gemma":0.000086840955,"teacher_disagreement_score":0.035502024,"about_ca_system_score_codex":0.00016808091,"about_ca_system_score_gemma":0.000029831252,"threshold_uncertainty_score":0.9998873},"labels":[],"label_agreement":null},{"id":"W4234692379","doi":"10.32920/ryerson.14651502.v1","title":"Investigation of Load Distribution Factors for Simply-Supported Composite Multiple Box Girder Bridges","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Structural engineering; Girder; Box girder; Finite element method; Bending moment; Deflection (physics); Engineering; Structural load; Parametric statistics; Influence line; Shear force; Shear (geology); Mathematics; Materials science; Composite material","score_opus":0.016520365671566044,"score_gpt":0.2173690291599146,"score_spread":0.20084866348834857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234692379","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":[0.5773863,0.00009134655,0.4204537,0.000020356205,0.00052517606,0.00024095418,0.00088416645,0.00036030653,0.000037688715],"genre_scores_gemma":[0.98066294,0.000062048486,0.005916492,0.000007157133,0.000060398106,0.000044808636,0.013109078,0.000060973874,0.00007608184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988401,0.00001243985,0.00043501073,0.0002751044,0.00019742479,0.00023991527],"domain_scores_gemma":[0.9990824,0.0001470526,0.00008351001,0.00035096932,0.0002360984,0.000099963196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000986053,0.0003144682,0.00041205963,0.00005978909,0.000047880356,0.000047389105,0.00014562879,0.0003407671,0.000012245036],"category_scores_gemma":[0.00011679672,0.00033560826,0.00019268013,0.00010272416,0.000031927448,0.00007446084,0.00012331519,0.0002772178,0.0000010135968],"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":[0.0000054136012,0.0000118848675,0.012575804,0.0011872258,0.00015909733,9.605843e-7,0.00047015416,0.9646401,0.019813059,0.000054716435,0.0008698933,0.00021169038],"study_design_scores_gemma":[0.00028655538,0.000014822976,0.034042273,0.0001446945,0.000066251465,0.0000012195935,0.00010700842,0.8800284,0.08451124,0.000066835484,0.00035540317,0.00037526962],"about_ca_topic_score_codex":0.00022289417,"about_ca_topic_score_gemma":0.00008868153,"teacher_disagreement_score":0.4145372,"about_ca_system_score_codex":0.00022949096,"about_ca_system_score_gemma":0.00008376208,"threshold_uncertainty_score":0.9999096},"labels":[],"label_agreement":null},{"id":"W4235413247","doi":"10.32920/ryerson.14665221.v1","title":"Investigation of the transverse and longitudinal moments at the transverse free end of deck slab cantilevers subjected to CHBDC truck loading","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cantilever; Slab; Transverse plane; Deck; Structural engineering; Bending moment; Moment (physics); Materials science; Engineering; Physics; Classical mechanics","score_opus":0.01284949252319587,"score_gpt":0.19235541415700969,"score_spread":0.17950592163381382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235413247","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":[0.99107444,0.00019542094,0.006687741,0.00013549338,0.0006969232,0.00042007084,0.0002448485,0.00009856622,0.00044648236],"genre_scores_gemma":[0.99837035,0.00012614358,0.0011617651,0.000011940601,0.000025577965,0.000021308648,0.000044444227,0.000050647395,0.00018781848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986026,0.00004048869,0.00043834053,0.00031268861,0.00034922615,0.00025664672],"domain_scores_gemma":[0.99892783,0.00008689416,0.00007576717,0.0007130595,0.00008337227,0.00011305136],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001705603,0.00033070904,0.00041103162,0.00012936092,0.00006134735,0.000031406496,0.0004167603,0.00022716678,0.00009221543],"category_scores_gemma":[0.00004734996,0.00024857084,0.00017895915,0.0003307199,0.00013052947,0.000065287706,0.00018421632,0.00039571698,0.0000011072283],"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":[0.00003149283,0.000011077552,0.012859109,0.001220049,0.0004434364,0.0000058254764,0.0068369843,0.849409,0.12836461,0.000111777634,0.0004190669,0.00028760915],"study_design_scores_gemma":[0.0021021562,0.00007943745,0.23587155,0.0014833423,0.00071754947,0.000030511312,0.0019377299,0.2741958,0.48196003,0.00018918682,0.00022913342,0.0012035902],"about_ca_topic_score_codex":0.0006067651,"about_ca_topic_score_gemma":0.0020812463,"teacher_disagreement_score":0.5752132,"about_ca_system_score_codex":0.00017094072,"about_ca_system_score_gemma":0.00007881232,"threshold_uncertainty_score":0.99999666},"labels":[],"label_agreement":null},{"id":"W4236785414","doi":"10.32920/ryerson.14651502","title":"Investigation of Load Distribution Factors for Simply-Supported Composite Multiple Box Girder Bridges","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","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":"Toronto Metropolitan University","funders":"","keywords":"Structural engineering; Girder; Box girder; Finite element method; Bending moment; Deflection (physics); Engineering; Structural load; Parametric statistics; Influence line; Shear force; Shear (geology); Mathematics; Materials science; Composite material","score_opus":0.016520365671566044,"score_gpt":0.2173690291599146,"score_spread":0.20084866348834857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236785414","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":[0.5773863,0.00009134655,0.4204537,0.000020356205,0.00052517606,0.00024095418,0.00088416645,0.00036030653,0.000037688715],"genre_scores_gemma":[0.98066294,0.000062048486,0.005916492,0.000007157133,0.000060398106,0.000044808636,0.013109078,0.000060973874,0.00007608184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988401,0.00001243985,0.00043501073,0.0002751044,0.00019742479,0.00023991527],"domain_scores_gemma":[0.9990824,0.0001470526,0.00008351001,0.00035096932,0.0002360984,0.000099963196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000986053,0.0003144682,0.00041205963,0.00005978909,0.000047880356,0.000047389105,0.00014562879,0.0003407671,0.000012245036],"category_scores_gemma":[0.00011679672,0.00033560826,0.00019268013,0.00010272416,0.000031927448,0.00007446084,0.00012331519,0.0002772178,0.0000010135968],"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":[0.0000054136012,0.0000118848675,0.012575804,0.0011872258,0.00015909733,9.605843e-7,0.00047015416,0.9646401,0.019813059,0.000054716435,0.0008698933,0.00021169038],"study_design_scores_gemma":[0.00028655538,0.000014822976,0.034042273,0.0001446945,0.000066251465,0.0000012195935,0.00010700842,0.8800284,0.08451124,0.000066835484,0.00035540317,0.00037526962],"about_ca_topic_score_codex":0.00022289417,"about_ca_topic_score_gemma":0.00008868153,"teacher_disagreement_score":0.4145372,"about_ca_system_score_codex":0.00022949096,"about_ca_system_score_gemma":0.00008376208,"threshold_uncertainty_score":0.9999096},"labels":[],"label_agreement":null},{"id":"W4237047931","doi":"10.1139/cjce-2016-0199","title":"Experimental monitoring and numerical modeling of thermal regime of railway track structure - preliminary results and conclusions","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":true,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Thermal; Environmental science; Engineering; Meteorology; Mechanical engineering; Physics","score_opus":0.007063395611519102,"score_gpt":0.19168764276005595,"score_spread":0.18462424714853684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237047931","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":[0.9712288,0.0045030275,0.02351334,0.000031673648,0.00042763917,0.00005532089,0.00006989738,0.00002535633,0.00014496862],"genre_scores_gemma":[0.99826247,0.000065002394,0.001491868,9.310918e-7,0.00012680065,8.130453e-7,8.380882e-7,0.00004300603,0.0000082931565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990356,0.00000879414,0.00046686467,0.0001024926,0.00013037185,0.0002558549],"domain_scores_gemma":[0.9992628,0.00008918654,0.0000779584,0.00013290203,0.00006417272,0.0003729634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012419627,0.00017938603,0.00032850236,0.00026387323,0.00003190901,0.000013134937,0.0001250418,0.0001053902,0.000008724216],"category_scores_gemma":[0.00008926821,0.00015093514,0.00005711308,0.00010319421,0.00004434032,0.00019054725,0.000017862674,0.00018970534,9.4010815e-8],"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":[0.000027439059,0.0000031280042,0.0002762463,0.00007565815,0.000055564054,0.000024571693,0.0008672056,0.83294976,0.16494757,0.00006842233,0.000017103184,0.00068733],"study_design_scores_gemma":[0.0016425877,0.00040829036,0.0035769953,0.0013864866,0.000056874505,0.00037699167,0.0003323266,0.93473864,0.056847896,0.000035669298,0.00016146667,0.00043576467],"about_ca_topic_score_codex":0.00007282989,"about_ca_topic_score_gemma":0.00006376988,"teacher_disagreement_score":0.10809968,"about_ca_system_score_codex":0.000079153215,"about_ca_system_score_gemma":0.000073015566,"threshold_uncertainty_score":0.6154956},"labels":[],"label_agreement":null},{"id":"W4237963808","doi":"10.1115/jrc2012-74015","title":"Lateral Creepage","year":2012,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Tangent; RADIUS; Geometry; Flange; Track (disk drive); Slip (aerodynamics); Base (topology); Structural engineering; Physics; Mathematics; Mathematical analysis; Engineering; Computer science","score_opus":0.00559662018929452,"score_gpt":0.17999145033200167,"score_spread":0.17439483014270715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237963808","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":[0.67321616,0.0003310594,0.079335764,0.000013872017,0.001079558,0.000034731183,0.0000034294471,0.0016384406,0.24434699],"genre_scores_gemma":[0.9958178,0.000008726722,0.0026902694,0.00001572527,0.00012511504,0.000001992029,0.000003000909,0.000015487563,0.0013219021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972886,0.0000010820552,0.000043960303,0.000023198592,0.000032336313,0.00017054359],"domain_scores_gemma":[0.99985754,0.000005598698,0.000001330669,0.000074584816,0.0000024593846,0.000058462334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000285986,0.000049786042,0.000039210372,0.00002067585,0.000007904781,0.000007218842,0.00003193257,0.000025432413,0.000110233406],"category_scores_gemma":[0.0000018232589,0.000045072302,0.000016504338,0.00003632542,0.0000029498888,0.000087551714,0.000004973062,0.000043732245,0.00022141924],"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":[0.0000053178555,0.00009388917,0.061704487,0.00023179631,0.00017324799,0.0000106186535,0.0017384831,0.7556231,0.022676105,0.074205846,0.05195521,0.03158188],"study_design_scores_gemma":[0.00019893725,0.000010712139,0.03800673,0.000007414783,0.000008348396,0.000019980656,0.000020147341,0.86282796,0.0027578906,0.000104494015,0.09564053,0.00039683955],"about_ca_topic_score_codex":0.0000016782795,"about_ca_topic_score_gemma":5.970707e-7,"teacher_disagreement_score":0.32260162,"about_ca_system_score_codex":0.000011566782,"about_ca_system_score_gemma":5.462883e-7,"threshold_uncertainty_score":0.284597},"labels":[],"label_agreement":null},{"id":"W4238199666","doi":"10.1109/wsc.1999.816840","title":"Parametric modeling in rail capacity planning","year":2003,"lang":"en","type":"article","venue":"WSC'99. 1999 Winter Simulation Conference Proceedings. 'Simulation - A Bridge to the Future' (Cat. No.99CH37038)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Pacific Railway (Canada)","funders":"","keywords":"Citation; Bridge (graph theory); Parametric statistics; Operations research; Computer science; History; Transport engineering; Library science; Engineering","score_opus":0.04486786194823612,"score_gpt":0.25996953847165427,"score_spread":0.21510167652341816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238199666","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":[0.63692486,0.00010155402,0.35831714,0.00011098835,0.0015017695,0.0007738758,0.00003549332,0.00065987825,0.0015744612],"genre_scores_gemma":[0.99177945,0.000031789128,0.0066515175,0.00018784341,0.0008664979,0.00009641288,0.00006721683,0.00014856957,0.0001707238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99631983,0.00006119624,0.0011036233,0.0008050153,0.00067722634,0.0010331362],"domain_scores_gemma":[0.99800086,0.00028184566,0.00018871113,0.00048421675,0.00069612823,0.00034824124],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009486215,0.00075460906,0.0006394791,0.00087409385,0.00028388464,0.00051708095,0.00059844746,0.00039409375,0.00009286156],"category_scores_gemma":[0.00076469756,0.000712847,0.00020093101,0.0016928772,0.00004686063,0.0009296687,0.000086375636,0.00067812565,0.00026045355],"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":[0.00006164421,0.000046089222,0.00374624,0.00012307991,0.00005127651,0.000002143527,0.0035060337,0.989425,0.00040694128,0.0007155397,0.00034524733,0.0015707816],"study_design_scores_gemma":[0.00080950296,0.00006958526,0.0041727135,0.00022611921,0.0000391988,0.0000076732085,0.00029209384,0.9864113,0.00008202212,0.000289453,0.006771247,0.00082909205],"about_ca_topic_score_codex":0.00009928811,"about_ca_topic_score_gemma":0.00005558066,"teacher_disagreement_score":0.35485458,"about_ca_system_score_codex":0.0005588609,"about_ca_system_score_gemma":0.0000931493,"threshold_uncertainty_score":0.9995323},"labels":[],"label_agreement":null},{"id":"W4238484297","doi":"10.32920/ryerson.14665221","title":"Investigation of the transverse and longitudinal moments at the transverse free end of deck slab cantilevers subjected to CHBDC truck loading","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cantilever; Slab; Deck; Transverse plane; Structural engineering; Bending moment; Moment (physics); Materials science; Engineering; Physics; Classical mechanics","score_opus":0.01284949252319587,"score_gpt":0.19235541415700969,"score_spread":0.17950592163381382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238484297","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":[0.99107444,0.00019542094,0.006687741,0.00013549338,0.0006969232,0.00042007084,0.0002448485,0.00009856622,0.00044648236],"genre_scores_gemma":[0.99837035,0.00012614358,0.0011617651,0.000011940601,0.000025577965,0.000021308648,0.000044444227,0.000050647395,0.00018781848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986026,0.00004048869,0.00043834053,0.00031268861,0.00034922615,0.00025664672],"domain_scores_gemma":[0.99892783,0.00008689416,0.00007576717,0.0007130595,0.00008337227,0.00011305136],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001705603,0.00033070904,0.00041103162,0.00012936092,0.00006134735,0.000031406496,0.0004167603,0.00022716678,0.00009221543],"category_scores_gemma":[0.00004734996,0.00024857084,0.00017895915,0.0003307199,0.00013052947,0.000065287706,0.00018421632,0.00039571698,0.0000011072283],"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":[0.00003149283,0.000011077552,0.012859109,0.001220049,0.0004434364,0.0000058254764,0.0068369843,0.849409,0.12836461,0.000111777634,0.0004190669,0.00028760915],"study_design_scores_gemma":[0.0021021562,0.00007943745,0.23587155,0.0014833423,0.00071754947,0.000030511312,0.0019377299,0.2741958,0.48196003,0.00018918682,0.00022913342,0.0012035902],"about_ca_topic_score_codex":0.0006067651,"about_ca_topic_score_gemma":0.0020812463,"teacher_disagreement_score":0.5752132,"about_ca_system_score_codex":0.00017094072,"about_ca_system_score_gemma":0.00007881232,"threshold_uncertainty_score":0.99999666},"labels":[],"label_agreement":null},{"id":"W4240289679","doi":"10.1155/2012/919512","title":"Dynamic Response of a Beam Subjected to Moving Load and Moving Mass Supported by Pasternak Foundation","year":2012,"lang":"en","type":"article","venue":"Shock and Vibration","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Moving load; Deflection (physics); Bending moment; Bending stiffness; Shear and moment diagram; Partial differential equation; Beam (structure); Structural engineering; Stiffness; Dynamic load testing; Structural dynamics; Added mass; Differential equation; Mechanics; Mathematics; Mathematical analysis; Physics; Engineering; Classical mechanics; Finite element method; Vibration; Acoustics","score_opus":0.004406798928866049,"score_gpt":0.20540663803213752,"score_spread":0.20099983910327146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240289679","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":[0.8056052,0.0001644457,0.19381984,0.000022214657,0.00012465315,0.000096322605,0.000012873895,0.00010394076,0.000050554925],"genre_scores_gemma":[0.99738485,0.00003604636,0.0023710278,0.0000117688305,0.000022020167,0.000008351319,0.000050858718,0.000022621143,0.00009245779],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944615,0.000017334905,0.00017017554,0.000098328885,0.000101047786,0.00016697761],"domain_scores_gemma":[0.99971545,0.00005048789,0.000025317451,0.000094986906,0.00002760286,0.00008618495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019669408,0.00010731532,0.000109605084,0.00008912094,0.000039334624,0.000035020163,0.000029417635,0.000064220025,0.0000065594068],"category_scores_gemma":[0.000050833984,0.00011699998,0.000013057931,0.000119575685,0.0000097164075,0.00030759405,0.000014328871,0.0000608893,0.0000024810042],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008454199,0.000009309516,0.004099588,0.00007729285,0.000017009332,3.1039647e-7,0.00092064595,0.012788803,0.97810394,0.000030106918,0.000046901234,0.0038215423],"study_design_scores_gemma":[0.00041153296,0.00012004826,0.09961386,0.0000625229,0.000024552259,0.000008345351,0.00021367644,0.8606894,0.03823787,0.000032188407,0.0003071293,0.00027890067],"about_ca_topic_score_codex":0.000015261321,"about_ca_topic_score_gemma":0.000011673133,"teacher_disagreement_score":0.93986607,"about_ca_system_score_codex":0.00005970025,"about_ca_system_score_gemma":0.000011468207,"threshold_uncertainty_score":0.47711208},"labels":[],"label_agreement":null},{"id":"W4241203937","doi":"10.32920/ryerson.14665275","title":"Load Distribution Factors for Curved Concrete Slab-on-Steel I-Girder Bridges","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Structural engineering; Girder; Curvature; Torsion (gastropod); Deck; Slab; Bending moment; Engineering; Parametric statistics; Finite element method; Image warping; Structural load; Geometry; Computer science; Mathematics","score_opus":0.015156392589361547,"score_gpt":0.224742820291706,"score_spread":0.20958642770234445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241203937","genre_codex":"methods","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":[0.45633122,0.0005212165,0.53412664,0.000052018397,0.0032473211,0.00047118572,0.0021648523,0.0014592771,0.0016262475],"genre_scores_gemma":[0.9899928,0.00022220491,0.0016881197,0.00002131464,0.00025066882,0.00011282695,0.0063918494,0.00013089537,0.0011893193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985311,0.000015410214,0.0003474081,0.00044403368,0.00024677836,0.00041527054],"domain_scores_gemma":[0.99888885,0.00020131636,0.00004429185,0.0005689053,0.00016849558,0.0001281489],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013342645,0.0004935401,0.0004907818,0.000052559735,0.000050116825,0.00016875644,0.00023480249,0.00048061978,0.000043937387],"category_scores_gemma":[0.00016881003,0.0004965884,0.000303438,0.00008364926,0.000023282862,0.000058511134,0.00011343123,0.00055062736,0.000013441891],"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":[0.00000934309,0.0000071398113,0.0002238762,0.0007642964,0.00024230615,0.0000052199407,0.00017344,0.9895152,0.0010649023,0.00090745935,0.0064464603,0.0006403604],"study_design_scores_gemma":[0.00051002495,0.000043176748,0.0033748632,0.00026764852,0.00008287471,0.000002830776,0.00018038799,0.97165674,0.008970422,0.000056274686,0.013823377,0.0010313948],"about_ca_topic_score_codex":0.000057458667,"about_ca_topic_score_gemma":0.000023618813,"teacher_disagreement_score":0.5336616,"about_ca_system_score_codex":0.00041596175,"about_ca_system_score_gemma":0.00008492903,"threshold_uncertainty_score":0.9997486},"labels":[],"label_agreement":null},{"id":"W4241516933","doi":"10.32920/ryerson.14655291.v1","title":"Study of Curvature Effects in Composite Steel I-Girder Bridges Using the V-Load Method","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","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":"Toronto Metropolitan University","funders":"","keywords":"Curvature; Structural engineering; Torsion (gastropod); Finite element method; Girder; Bridge (graph theory); Box girder; Engineering; Mathematics; Geometry","score_opus":0.01422964209784774,"score_gpt":0.27257872895120533,"score_spread":0.2583490868533576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241516933","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":[0.79974127,0.0017141642,0.19631001,0.000010163866,0.0009491338,0.00054140977,0.000009058282,0.00020503924,0.00051975873],"genre_scores_gemma":[0.96744716,0.00004624079,0.03222804,0.000013580726,0.00007114786,0.00003153383,0.000016088647,0.00007912673,0.0000671019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985905,0.0001485143,0.0003826351,0.00032034944,0.00030590323,0.00025206356],"domain_scores_gemma":[0.99884707,0.00027461333,0.000054909142,0.00069834123,0.000082916304,0.000042147578],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000393856,0.00036365585,0.00061037054,0.00012824328,0.000025773925,0.000076390475,0.00034323,0.00028217077,0.0000042695015],"category_scores_gemma":[0.000039657407,0.00029054476,0.000117461794,0.00026887326,0.000013841441,0.000042741187,0.00034410015,0.0011163324,6.4273866e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003401994,0.000095336014,0.0018573597,0.0006784073,0.00021420744,0.000036198253,0.002310135,0.9915074,0.002646674,0.00003091163,0.000022742555,0.00059722154],"study_design_scores_gemma":[0.0004233145,0.000023861565,0.02190403,0.00038772318,0.00010876522,0.000010678752,0.00085765606,0.9748268,0.0010820993,0.000018732295,0.000022823659,0.00033348316],"about_ca_topic_score_codex":0.0005949201,"about_ca_topic_score_gemma":0.0004251949,"teacher_disagreement_score":0.1677059,"about_ca_system_score_codex":0.00016465697,"about_ca_system_score_gemma":0.000051842868,"threshold_uncertainty_score":0.99995464},"labels":[],"label_agreement":null},{"id":"W4242075272","doi":"10.32920/ryerson.14653302.v1","title":"Curved Concrete Slab-On-Steel I-Girder Bridges","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Structural engineering; Curvature; Image warping; Slab; Deflection (physics); Girder; Parametric statistics; Finite element method; Moment distribution method; Engineering; Moment (physics); Mathematics; Geometry; Computer science; Physics","score_opus":0.0115075805213564,"score_gpt":0.21070349724648052,"score_spread":0.19919591672512413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242075272","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":[0.67558014,0.0033873268,0.16992356,0.0002314514,0.010317061,0.00057077105,0.00032140544,0.006516324,0.13315193],"genre_scores_gemma":[0.98703873,0.0007696949,0.006309574,0.0001345612,0.00044339706,0.00006245764,0.00047069488,0.00022540317,0.004545503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985673,0.000022098446,0.00033025406,0.00044173544,0.00024392812,0.0003947059],"domain_scores_gemma":[0.9988343,0.00008781613,0.000029741,0.0008341153,0.00007338626,0.00014062854],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011551706,0.00048684393,0.00049391366,0.00012482659,0.000030123418,0.00018373097,0.0003155874,0.000451784,0.00020253901],"category_scores_gemma":[0.000044432367,0.00051388977,0.00021773615,0.00010333563,0.000024793459,0.00004740771,0.00021235531,0.00095650635,0.000120329],"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":[0.0000022259694,0.000003370486,0.00006850545,0.0003686595,0.00016552155,0.000040932457,0.00011396975,0.99234,0.0009840819,0.00058467465,0.004396015,0.000931997],"study_design_scores_gemma":[0.00029126147,0.000019404612,0.0014233486,0.0003120182,0.00004362933,0.000012666126,0.000088127425,0.98465025,0.0033082978,0.00004101418,0.008860854,0.0009491195],"about_ca_topic_score_codex":0.00004395241,"about_ca_topic_score_gemma":0.000014957269,"teacher_disagreement_score":0.31145853,"about_ca_system_score_codex":0.000120975215,"about_ca_system_score_gemma":0.000049324586,"threshold_uncertainty_score":0.99973124},"labels":[],"label_agreement":null},{"id":"W4243693023","doi":"10.1202/532.1","title":"Exposure to Noise on Board Locomotives","year":2003,"lang":"en","type":"article","venue":"AIHA Journal","topic":"Railway Engineering and Dynamics","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":"Employment and Social Development Canada","funders":"","keywords":"Noise (video); Octave band; Octave (electronics); Environmental science; Acoustics; Noise exposure; Conductor; Electrical engineering; Engineering; Physics; Mathematics; Audiology; Computer science","score_opus":0.005364869145776434,"score_gpt":0.19215126552365264,"score_spread":0.1867863963778762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243693023","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":[0.89881736,0.0004177234,0.07321909,0.00013014035,0.0016962993,0.00007637042,0.000004831369,0.00023725056,0.025400909],"genre_scores_gemma":[0.9954518,0.00005792342,0.003742876,0.00008980545,0.00016579454,0.0000026998541,4.772873e-7,0.000035019217,0.00045361655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940556,0.000014568709,0.00013699486,0.000074480275,0.00013313917,0.00023525185],"domain_scores_gemma":[0.9996204,0.00002585074,0.000011655199,0.00012976331,0.00002331364,0.00018904178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011603983,0.00012242752,0.00010942858,0.00010603155,0.000052865063,0.000054242046,0.000095076895,0.000047259513,0.0000707792],"category_scores_gemma":[0.00004940128,0.00011231425,0.000056510366,0.0001139455,0.0000060925736,0.000063878346,0.000004551997,0.00028940124,0.0001645916],"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":[0.0000049683554,0.00001711955,0.00068890816,0.000009826623,0.000031844138,0.00004013785,0.0002996368,0.9868411,0.001953868,0.0009861817,0.00501412,0.004112313],"study_design_scores_gemma":[0.005417939,0.003362901,0.093640864,0.0009950219,0.00013108693,0.0024631845,0.0012602082,0.10371128,0.03277402,0.004274665,0.7480014,0.0039674654],"about_ca_topic_score_codex":3.3183412e-7,"about_ca_topic_score_gemma":9.546822e-7,"teacher_disagreement_score":0.8831298,"about_ca_system_score_codex":0.00005908997,"about_ca_system_score_gemma":0.000010131693,"threshold_uncertainty_score":0.4580042},"labels":[],"label_agreement":null},{"id":"W4247862320","doi":"10.32920/ryerson.14668638","title":"Parametric study of curved steel I-girder bridges at construction phase.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","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":"Toronto Metropolitan University","funders":"","keywords":"Structural engineering; Girder; Image warping; Curvature; Torsion (gastropod); Engineering; Parametric statistics; Bending moment; Finite element method; Bracing; Computer science; Mathematics; Geometry","score_opus":0.01679283126750502,"score_gpt":0.2461559392993166,"score_spread":0.22936310803181156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247862320","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":[0.9598455,0.0005932857,0.03503277,0.0000035734947,0.0018967445,0.0003716214,0.00005189328,0.0006098082,0.0015948426],"genre_scores_gemma":[0.9953475,0.0002362402,0.0037472234,0.0000021048984,0.00007239534,0.000037697002,0.00013742415,0.0000706062,0.00034882358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986295,0.00003379229,0.0004864236,0.00035324247,0.00027214835,0.00022490026],"domain_scores_gemma":[0.9990306,0.000081887025,0.000076104,0.0006252318,0.00010918621,0.000077028075],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012168194,0.00033268277,0.0005590671,0.00032763366,0.000027136026,0.000054183696,0.00018992703,0.00025621706,0.000106913125],"category_scores_gemma":[0.000050170336,0.00035790604,0.00013160781,0.00034657127,0.00002763794,0.000047341113,0.00024259828,0.00045021554,0.000007336014],"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":[0.0000062938266,0.00025637873,0.0025068428,0.00038126428,0.00030805336,0.000010429906,0.00024452177,0.99215615,0.00042186223,0.000027660808,0.00018224897,0.0034983095],"study_design_scores_gemma":[0.0015784529,0.00013069613,0.008395655,0.000100301484,0.00015047203,0.00002233715,0.0014602405,0.9854963,0.0018711739,0.000015035605,0.00018670129,0.00059262756],"about_ca_topic_score_codex":0.00011650374,"about_ca_topic_score_gemma":0.000086840955,"teacher_disagreement_score":0.035502024,"about_ca_system_score_codex":0.00016808091,"about_ca_system_score_gemma":0.000029831252,"threshold_uncertainty_score":0.9998873},"labels":[],"label_agreement":null},{"id":"W4250164621","doi":"10.1155/2011/178594","title":"In-Plane free Vibration Analysis of an Annular Disk with Point Elastic Support","year":2011,"lang":"en","type":"article","venue":"Shock and Vibration","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Vibration; Normal mode; Enhanced Data Rates for GSM Evolution; Isotropy; Boundary (topology); Point (geometry); Boundary value problem; Finite element method; Mathematical analysis; Geometry; Rayleigh–Ritz method; Plane (geometry); Mathematics; Mode (computer interface); Physics; Optics; Acoustics; Engineering","score_opus":0.005437071933429365,"score_gpt":0.1818931196955606,"score_spread":0.17645604776213122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250164621","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":[0.8064954,0.000018157494,0.1927467,0.000006013346,0.00004750835,0.00005625485,0.000025511423,0.000059364866,0.0005450581],"genre_scores_gemma":[0.99627614,0.000016311587,0.0034890873,0.000007898813,0.000016809587,0.0000052805362,0.00016441838,0.0000125259185,0.00001153578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955857,0.000008310712,0.00015839342,0.00010415625,0.000077129574,0.00009344177],"domain_scores_gemma":[0.9997446,0.000010060758,0.000022132806,0.00016453394,0.000016638505,0.000042062326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060447168,0.00008834857,0.00014309118,0.00022706995,0.0000156507,0.000012255965,0.00004600078,0.0000494881,0.00004007871],"category_scores_gemma":[0.000006719419,0.00007985918,0.000017853357,0.00030162866,0.000012028513,0.0003753518,0.000006635148,0.000053146192,9.208853e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091611786,0.000094863455,0.022738812,0.00013117,0.00033240148,0.00001787666,0.004094063,0.95053786,0.017683107,0.003097429,0.00004462468,0.0011361862],"study_design_scores_gemma":[0.00023368276,0.00019334294,0.13631439,0.000008883889,0.0001400747,0.0000032529706,0.000094689654,0.85835785,0.004281361,0.0002355273,0.000009754609,0.00012718927],"about_ca_topic_score_codex":0.00004114178,"about_ca_topic_score_gemma":0.00041498197,"teacher_disagreement_score":0.1897807,"about_ca_system_score_codex":0.000012315643,"about_ca_system_score_gemma":0.000007009163,"threshold_uncertainty_score":0.32565627},"labels":[],"label_agreement":null},{"id":"W4250601949","doi":"10.32920/ryerson.14657994","title":"Design optimization of two-span continuous composite box girder bridges","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Constructability; Box girder; Structural engineering; Girder; Span (engineering); Engineering; Durability; Composite number; Materials science; Composite material","score_opus":0.010311415277453304,"score_gpt":0.21040143202970563,"score_spread":0.20009001675225233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250601949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0167677,0.00079164066,0.9779703,0.000016283735,0.0008537396,0.00021921833,0.000023409571,0.00073437457,0.002623331],"genre_scores_gemma":[0.6338131,0.0003494161,0.36497277,0.000012389466,0.00008462846,0.000022266182,0.00027959028,0.00010553492,0.00036033062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989495,0.00003040825,0.00037271125,0.00025648385,0.00016804798,0.00022280299],"domain_scores_gemma":[0.9992435,0.00006257202,0.00005871909,0.00043889417,0.00012725608,0.00006903176],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011624462,0.00030489825,0.00048484936,0.00012660696,0.000018356988,0.000087674605,0.00020341045,0.00023794215,0.000067471745],"category_scores_gemma":[0.000014734854,0.0003403015,0.00011484813,0.00010613179,0.000022048625,0.000053711723,0.00012811672,0.00035351553,0.0000040993727],"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":[0.0000027708033,0.000018624352,0.00008918701,0.00028905153,0.000121467856,0.0000076211745,0.00013871497,0.9971099,0.0014896191,0.000054584958,0.00020341415,0.00047507597],"study_design_scores_gemma":[0.00022501178,0.000011578656,0.00014588721,0.00018010201,0.00005157938,0.000008102805,0.000031474923,0.9920847,0.006881474,0.000016263295,0.000023777317,0.00034009034],"about_ca_topic_score_codex":0.000072665236,"about_ca_topic_score_gemma":0.0000058036867,"teacher_disagreement_score":0.6170454,"about_ca_system_score_codex":0.000067964356,"about_ca_system_score_gemma":0.000036930967,"threshold_uncertainty_score":0.9999049},"labels":[],"label_agreement":null},{"id":"W4252042944","doi":"10.32920/ryerson.14665692","title":"Fatigue life assessment of TTC streetcar concrete pavements","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Service life; Durability; Fatigue cracking; Cracking; Structural engineering; Engineering; Computer science; Forensic engineering; Materials science; Mechanical engineering; Composite material","score_opus":0.019540548320754157,"score_gpt":0.26079333401144345,"score_spread":0.24125278569068928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252042944","genre_codex":"methods","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":[0.44600502,0.0007359828,0.51796913,0.000023141414,0.0024929452,0.00032373014,0.00021022605,0.0007703258,0.031469487],"genre_scores_gemma":[0.96881485,0.00039300017,0.029973285,0.000020111149,0.00009004006,0.000036267793,0.00038426335,0.00007422841,0.00021393405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865174,0.000018861509,0.00048335028,0.0002819929,0.00030876105,0.00025529138],"domain_scores_gemma":[0.9990284,0.00004277093,0.00006577593,0.00063194695,0.000088657645,0.00014248349],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012047823,0.00033310568,0.00052667444,0.000107349726,0.0000142676845,0.000056862285,0.00026939952,0.0002908601,0.00018644331],"category_scores_gemma":[0.000023807783,0.00035907305,0.00017621407,0.00009420507,0.000019897967,0.00004259761,0.00025990946,0.00052885216,0.0000023499742],"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":[4.5992834e-7,0.0000053119484,0.001176893,0.0008954985,0.00036630078,0.000007856691,0.000076505064,0.9946264,0.0015190686,0.0005408179,0.0004170319,0.00036784983],"study_design_scores_gemma":[0.00023386929,0.000018159379,0.002705058,0.00029119293,0.000057279798,7.2283143e-7,0.00014626868,0.9942073,0.0016349107,0.000029932107,0.0002572741,0.0004180374],"about_ca_topic_score_codex":0.00007054443,"about_ca_topic_score_gemma":0.000012492009,"teacher_disagreement_score":0.52280986,"about_ca_system_score_codex":0.0001106633,"about_ca_system_score_gemma":0.00013240715,"threshold_uncertainty_score":0.9998861},"labels":[],"label_agreement":null},{"id":"W4252311127","doi":"10.1177/1464419320943396","title":"Analytical and experimental analysis of axial force generated by a drive shaft system","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics","topic":"Railway Engineering and Dynamics","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":"Concordia University","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Tripod (photography); Vibration; Contact force; Stiffness; Joint (building); Finite element method; Structural engineering; Track (disk drive); Multibody system; Control theory (sociology); Engineering; Mechanics; Mechanical engineering; Physics; Computer science; Acoustics; Classical mechanics","score_opus":0.00970865739399683,"score_gpt":0.21932795599939936,"score_spread":0.20961929860540252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252311127","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":[0.857816,0.0003229304,0.14109325,0.0000712955,0.00031627464,0.00014225532,0.00013373673,0.000054500808,0.00004978749],"genre_scores_gemma":[0.99552304,0.00006656704,0.004302986,0.000008073677,0.000055731234,0.0000024343444,0.0000093937515,0.000025760299,0.0000060206758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981655,0.0000086636755,0.0010099445,0.00015996597,0.0004507662,0.00020518276],"domain_scores_gemma":[0.9989021,0.000045018467,0.00039766452,0.000091505106,0.00035469083,0.00020906376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030770912,0.00024305563,0.00078542216,0.00025589185,0.00003711485,0.000017337738,0.00037162311,0.00018270942,0.0000027300937],"category_scores_gemma":[0.0002176307,0.00020050714,0.00035270685,0.00086786604,0.00011933676,0.00019375811,0.00007384518,0.00034733381,1.810947e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010393189,0.000091968745,0.00027296707,0.0004087267,0.0013640212,0.0000018518822,0.00026654414,0.8630672,0.11977585,0.014486685,0.000082763516,0.000077491],"study_design_scores_gemma":[0.00085267436,0.00017407289,0.000075100965,0.00016069615,0.00071458216,0.00001833627,0.00042732566,0.9322357,0.06515902,0.000004338931,0.000020027665,0.0001581058],"about_ca_topic_score_codex":0.000004759569,"about_ca_topic_score_gemma":7.9406277e-7,"teacher_disagreement_score":0.13770707,"about_ca_system_score_codex":0.00017569654,"about_ca_system_score_gemma":0.00003541528,"threshold_uncertainty_score":0.8176444},"labels":[],"label_agreement":null},{"id":"W4252948741","doi":"10.32920/ryerson.14655291","title":"Study of Curvature Effects in Composite Steel I-Girder Bridges Using the V-Load Method","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","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":"Toronto Metropolitan University","funders":"","keywords":"Curvature; Structural engineering; Torsion (gastropod); Finite element method; Girder; Bridge (graph theory); Box girder; Engineering; Mathematics; Geometry","score_opus":0.01422964209784774,"score_gpt":0.27257872895120533,"score_spread":0.2583490868533576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252948741","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":[0.79974127,0.0017141642,0.19631001,0.000010163866,0.0009491338,0.00054140977,0.000009058282,0.00020503924,0.00051975873],"genre_scores_gemma":[0.96744716,0.00004624079,0.03222804,0.000013580726,0.00007114786,0.00003153383,0.000016088647,0.00007912673,0.0000671019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985905,0.0001485143,0.0003826351,0.00032034944,0.00030590323,0.00025206356],"domain_scores_gemma":[0.99884707,0.00027461333,0.000054909142,0.00069834123,0.000082916304,0.000042147578],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000393856,0.00036365585,0.00061037054,0.00012824328,0.000025773925,0.000076390475,0.00034323,0.00028217077,0.0000042695015],"category_scores_gemma":[0.000039657407,0.00029054476,0.000117461794,0.00026887326,0.000013841441,0.000042741187,0.00034410015,0.0011163324,6.4273866e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003401994,0.000095336014,0.0018573597,0.0006784073,0.00021420744,0.000036198253,0.002310135,0.9915074,0.002646674,0.00003091163,0.000022742555,0.00059722154],"study_design_scores_gemma":[0.0004233145,0.000023861565,0.02190403,0.00038772318,0.00010876522,0.000010678752,0.00085765606,0.9748268,0.0010820993,0.000018732295,0.000022823659,0.00033348316],"about_ca_topic_score_codex":0.0005949201,"about_ca_topic_score_gemma":0.0004251949,"teacher_disagreement_score":0.1677059,"about_ca_system_score_codex":0.00016465697,"about_ca_system_score_gemma":0.000051842868,"threshold_uncertainty_score":0.99995464},"labels":[],"label_agreement":null},{"id":"W4254280570","doi":"10.32920/ryerson.14665692.v1","title":"Fatigue life assessment of TTC streetcar concrete pavements","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Service life; Durability; Cracking; Structural engineering; Fatigue cracking; Computer science; Engineering; Forensic engineering; Materials science; Mechanical engineering; Composite material","score_opus":0.019540548320754157,"score_gpt":0.26079333401144345,"score_spread":0.24125278569068928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254280570","genre_codex":"methods","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":[0.44600502,0.0007359828,0.51796913,0.000023141414,0.0024929452,0.00032373014,0.00021022605,0.0007703258,0.031469487],"genre_scores_gemma":[0.96881485,0.00039300017,0.029973285,0.000020111149,0.00009004006,0.000036267793,0.00038426335,0.00007422841,0.00021393405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865174,0.000018861509,0.00048335028,0.0002819929,0.00030876105,0.00025529138],"domain_scores_gemma":[0.9990284,0.00004277093,0.00006577593,0.00063194695,0.000088657645,0.00014248349],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012047823,0.00033310568,0.00052667444,0.000107349726,0.0000142676845,0.000056862285,0.00026939952,0.0002908601,0.00018644331],"category_scores_gemma":[0.000023807783,0.00035907305,0.00017621407,0.00009420507,0.000019897967,0.00004259761,0.00025990946,0.00052885216,0.0000023499742],"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":[4.5992834e-7,0.0000053119484,0.001176893,0.0008954985,0.00036630078,0.000007856691,0.000076505064,0.9946264,0.0015190686,0.0005408179,0.0004170319,0.00036784983],"study_design_scores_gemma":[0.00023386929,0.000018159379,0.002705058,0.00029119293,0.000057279798,7.2283143e-7,0.00014626868,0.9942073,0.0016349107,0.000029932107,0.0002572741,0.0004180374],"about_ca_topic_score_codex":0.00007054443,"about_ca_topic_score_gemma":0.000012492009,"teacher_disagreement_score":0.52280986,"about_ca_system_score_codex":0.0001106633,"about_ca_system_score_gemma":0.00013240715,"threshold_uncertainty_score":0.9998861},"labels":[],"label_agreement":null},{"id":"W4254896949","doi":"10.1520/jte20170635","title":"Train Internal Noise Due to Wheel-Rail Interaction","year":2018,"lang":"en","type":"article","venue":"Journal of Testing and Evaluation","topic":"Railway Engineering and Dynamics","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":"Queen's University","funders":"","keywords":"Statistical energy analysis; Train; Vibration; Noise (video); Acoustics; Finite element method; Computation; Coupling (piping); Structural engineering; Automotive engineering; Energy (signal processing); Engineering; Computer science; Physics; Mechanical engineering","score_opus":0.03312456263061201,"score_gpt":0.2871526006662246,"score_spread":0.2540280380356126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254896949","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":[0.9513689,0.000089345536,0.046058338,0.00007419739,0.0009804236,0.000045100624,9.2940786e-7,0.000040779058,0.0013419519],"genre_scores_gemma":[0.986253,0.000005616049,0.01304544,0.000021413298,0.0006380897,0.000001476998,6.5290476e-7,0.000012887142,0.000021382706],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937433,0.000021613738,0.00025131396,0.000055992085,0.00020072125,0.00009604224],"domain_scores_gemma":[0.9994065,0.00010096833,0.00006621083,0.000053115262,0.0002960696,0.00007712323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008555553,0.00007472963,0.000105795865,0.00015124309,0.000034816545,0.000058086614,0.000051734434,0.000032460353,0.000018755858],"category_scores_gemma":[0.00079390896,0.00006890267,0.000024424415,0.00012143847,0.000009786986,0.00019913913,0.000007821739,0.00013835235,0.000011964295],"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":[0.000030399404,0.00001509428,0.0010661541,0.00003628518,0.000039306324,0.0000066917974,0.0012265026,0.47041818,0.043070417,0.0000069113185,0.0014586939,0.48262537],"study_design_scores_gemma":[0.000294963,0.0002827851,0.017044803,0.00031402172,0.00003424925,0.00035083102,0.00008884905,0.9802905,0.0007921673,0.00019442986,0.00022635903,0.00008605793],"about_ca_topic_score_codex":0.000006719405,"about_ca_topic_score_gemma":0.000006774092,"teacher_disagreement_score":0.5098723,"about_ca_system_score_codex":0.00008600882,"about_ca_system_score_gemma":0.000018723491,"threshold_uncertainty_score":0.28097692},"labels":[],"label_agreement":null},{"id":"W4255418096","doi":"10.32920/ryerson.14657994.v1","title":"Design optimization of two-span continuous composite box girder bridges","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Constructability; Girder; Box girder; Structural engineering; Span (engineering); Engineering; Durability; Composite number; Civil engineering; Materials science; Composite material","score_opus":0.010311415277453304,"score_gpt":0.21040143202970563,"score_spread":0.20009001675225233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255418096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0167677,0.00079164066,0.9779703,0.000016283735,0.0008537396,0.00021921833,0.000023409571,0.00073437457,0.002623331],"genre_scores_gemma":[0.6338131,0.0003494161,0.36497277,0.000012389466,0.00008462846,0.000022266182,0.00027959028,0.00010553492,0.00036033062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989495,0.00003040825,0.00037271125,0.00025648385,0.00016804798,0.00022280299],"domain_scores_gemma":[0.9992435,0.00006257202,0.00005871909,0.00043889417,0.00012725608,0.00006903176],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011624462,0.00030489825,0.00048484936,0.00012660696,0.000018356988,0.000087674605,0.00020341045,0.00023794215,0.000067471745],"category_scores_gemma":[0.000014734854,0.0003403015,0.00011484813,0.00010613179,0.000022048625,0.000053711723,0.00012811672,0.00035351553,0.0000040993727],"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":[0.0000027708033,0.000018624352,0.00008918701,0.00028905153,0.000121467856,0.0000076211745,0.00013871497,0.9971099,0.0014896191,0.000054584958,0.00020341415,0.00047507597],"study_design_scores_gemma":[0.00022501178,0.000011578656,0.00014588721,0.00018010201,0.00005157938,0.000008102805,0.000031474923,0.9920847,0.006881474,0.000016263295,0.000023777317,0.00034009034],"about_ca_topic_score_codex":0.000072665236,"about_ca_topic_score_gemma":0.0000058036867,"teacher_disagreement_score":0.6170454,"about_ca_system_score_codex":0.000067964356,"about_ca_system_score_gemma":0.000036930967,"threshold_uncertainty_score":0.9999049},"labels":[],"label_agreement":null},{"id":"W4283016129","doi":"10.1007/978-981-19-0511-7_44","title":"Concrete Slab-On-Grade Analysis for Slab-Mounted Jib Cranes","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Slab; Structural engineering; Serviceability (structure); Isotropy; Engineering; Structural load; Finite element method; Geotechnical engineering; Physics","score_opus":0.008462734199968805,"score_gpt":0.20754305531971745,"score_spread":0.19908032111974866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283016129","genre_codex":"methods","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":[0.0014543289,0.00871389,0.9483944,0.00015052405,0.0041839425,0.0014953997,0.0017790103,0.0035618881,0.030266607],"genre_scores_gemma":[0.97946185,0.001256762,0.008397099,0.00017638048,0.0013335309,0.0005589031,0.002226319,0.0014854475,0.0051037087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972376,0.000009875223,0.0007198156,0.0007389058,0.00047419546,0.00081956683],"domain_scores_gemma":[0.9978876,0.0009607801,0.00009470037,0.0008365651,0.000055011467,0.00016534266],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023603225,0.0011077233,0.0013001919,0.0017096706,0.00008521166,0.00008083614,0.00051463855,0.00074480934,0.00042660296],"category_scores_gemma":[0.00019126583,0.00128701,0.0007073244,0.00058982614,0.000032291704,0.00008982411,0.00007252533,0.0016762665,0.000013880207],"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":[0.000016091875,0.0000033015283,0.000018132956,0.00048283918,0.0011228085,0.00005131882,0.0001520059,0.99261296,0.00077184004,0.004002431,0.00009442174,0.0006718609],"study_design_scores_gemma":[0.00055565976,0.00009244504,0.00004187987,0.00022281398,0.00055343984,0.000014366906,0.0000017794453,0.90920335,0.00032397558,0.000620801,0.08701159,0.0013578957],"about_ca_topic_score_codex":0.00001963522,"about_ca_topic_score_gemma":0.00021383335,"teacher_disagreement_score":0.9780075,"about_ca_system_score_codex":0.0006161204,"about_ca_system_score_gemma":0.000034671,"threshold_uncertainty_score":0.99895793},"labels":[],"label_agreement":null},{"id":"W4283721419","doi":"10.1115/jrc2022-84116","title":"Implementation of the Contact Roughness at the Wheel-Rail Contact Model for Locomotive Traction Studies","year":2022,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Simon Fraser University","funders":"","keywords":"Traction (geology); Surface finish; Contact patch; Coupling (piping); Contact geometry; Surface roughness; Automotive engineering; Computer science; Tribology; Mechanical engineering; Contact area; Engineering; Structural engineering; Materials science; Geometry; Composite material; Tread; Mathematics","score_opus":0.022714654004985676,"score_gpt":0.2770421922656674,"score_spread":0.2543275382606817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283721419","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":[0.86700517,0.0003654637,0.12966645,0.00036083593,0.00084918115,0.00083114475,0.00024470538,0.00015363104,0.0005234313],"genre_scores_gemma":[0.9986376,0.000033897148,0.00012253132,0.00003741351,0.000023032957,0.0002539801,0.000018418807,0.000023463741,0.00084966555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940693,0.00002052255,0.00019105789,0.000093508555,0.00014706803,0.00014093747],"domain_scores_gemma":[0.99958116,0.00014341222,0.000048077276,0.00016931034,0.00004470207,0.000013345188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018396556,0.000106862295,0.00013429453,0.000024642455,0.00022027982,0.000008872076,0.0001251808,0.000017998285,0.000037942445],"category_scores_gemma":[0.000010247384,0.00006834426,0.00009350135,0.00009475817,0.00001175884,0.000077913945,0.000055770302,0.00010575315,7.1152846e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013608601,0.0000091544,0.0003050418,0.000042000705,0.00011990683,9.559092e-8,0.0021276593,0.98874176,0.0038471934,0.0020261377,0.0016100482,0.0011573886],"study_design_scores_gemma":[0.0005076588,0.000051901832,0.0026817096,0.0000049727887,0.000044198823,0.000002987567,0.00656934,0.98489416,0.003997335,0.00020640252,0.0009395013,0.00009985422],"about_ca_topic_score_codex":0.00004945358,"about_ca_topic_score_gemma":0.00045853257,"teacher_disagreement_score":0.13163243,"about_ca_system_score_codex":0.00028186245,"about_ca_system_score_gemma":0.0000160858,"threshold_uncertainty_score":0.27869982},"labels":[],"label_agreement":null},{"id":"W4284964296","doi":"10.1142/s0219455423500189","title":"Dynamic Stability and Responses of Beams on Elastic Foundations Under a Parametric Load","year":2022,"lang":"en","type":"article","venue":"International Journal of Structural Stability and Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Parametric statistics; Mathieu function; Vibration; Instability; Stability (learning theory); Beam (structure); Numerical analysis; Equations of motion; Computer simulation; Damping matrix; Structural engineering; Mechanics; Mathematics; Classical mechanics; Physics; Mathematical analysis; Computer science; Engineering; Stiffness matrix; Finite element method","score_opus":0.01220203098965114,"score_gpt":0.2480595041238339,"score_spread":0.23585747313418276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284964296","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":[0.98488945,0.00029339272,0.013186981,0.00018232346,0.0008499768,0.00008284205,0.0004138494,0.000027745711,0.00007342736],"genre_scores_gemma":[0.9984929,0.00008355854,0.0013424892,0.000014041234,0.000021110345,0.0000028319396,0.000021187836,0.000014645977,0.0000072122416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986057,0.00006097739,0.0005084372,0.00014286158,0.00054312055,0.00013885966],"domain_scores_gemma":[0.9988251,0.0005524404,0.00015112926,0.00013236074,0.000255658,0.000083318664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004190284,0.00015148161,0.00023995237,0.00023429538,0.00009112057,0.00004676156,0.0002169132,0.000046669975,0.00007353467],"category_scores_gemma":[0.0002884543,0.00014347525,0.00008229993,0.00020001543,0.00013813014,0.00017064805,0.00008770819,0.00039914058,1.8449578e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076264655,0.00009493008,0.016753685,0.00012745729,0.0003090691,0.000016196766,0.0007936659,0.960892,0.0015775699,0.007220573,0.000004709859,0.011447451],"study_design_scores_gemma":[0.00066274276,0.0003250956,0.106607564,0.00002324839,0.000035297067,0.00022820012,0.0007657697,0.88134617,0.00010449972,0.0096759265,0.000040862968,0.00018461455],"about_ca_topic_score_codex":0.000024171117,"about_ca_topic_score_gemma":0.000055708344,"teacher_disagreement_score":0.08985388,"about_ca_system_score_codex":0.00080407335,"about_ca_system_score_gemma":0.00008018606,"threshold_uncertainty_score":0.5850751},"labels":[],"label_agreement":null},{"id":"W4285535022","doi":"10.1299/jsmetld.2021.30.ss2-4-1","title":"A Study of Long Rail Axial Force Monitoring Method Using Image Reading","year":2021,"lang":"en","type":"article","venue":"The Proceedings of the Transportation and Logistics Conference","topic":"Railway Engineering and Dynamics","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":"L'Alliance Boviteq","funders":"","keywords":"Displacement (psychology); Reliability (semiconductor); Track (disk drive); Structural engineering; Welding; Buckling; Computer science; Engineering; Mechanical engineering; Physics","score_opus":0.03206123553341357,"score_gpt":0.26925244431785883,"score_spread":0.23719120878444527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285535022","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":[0.83022505,0.000038569673,0.16912319,0.000013078401,0.00013120734,0.000109855035,0.000010897112,0.000040391464,0.00030772903],"genre_scores_gemma":[0.9890375,0.00004811474,0.010824164,0.000001558725,0.000025252551,0.000003960137,0.0000013484632,0.000015403899,0.000042657823],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993572,0.00000593133,0.00026060003,0.00010980282,0.00014981074,0.00011661179],"domain_scores_gemma":[0.99951214,0.000062675834,0.00008215038,0.00008723951,0.00022916422,0.000026657684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018010498,0.0001116301,0.00017994933,0.000031383526,0.00006577569,0.00003071496,0.00015445902,0.000040438797,0.0000022277522],"category_scores_gemma":[0.000053921773,0.00008223098,0.00003639623,0.00018400566,0.00005572346,0.00007612045,0.000010747968,0.00014846964,7.488531e-8],"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":[0.000058503494,0.00014431404,0.06697456,0.0014503244,0.0002812323,0.000010016664,0.029834604,0.38787615,0.47990668,0.030015254,0.0000074663476,0.0034409063],"study_design_scores_gemma":[0.0011235334,0.00010907489,0.19533262,0.00052467635,0.00055091653,0.000023359746,0.018260293,0.6123214,0.16838361,0.0029287722,0.0000061625205,0.0004355806],"about_ca_topic_score_codex":0.000037711576,"about_ca_topic_score_gemma":0.00001706007,"teacher_disagreement_score":0.31152305,"about_ca_system_score_codex":0.000012479732,"about_ca_system_score_gemma":0.000016819376,"threshold_uncertainty_score":0.33532822},"labels":[],"label_agreement":null},{"id":"W4287255638","doi":"10.5281/zenodo.5115822","title":"Skyline tension and dynamic loading for cable yarding comparing conventional single-hitch versus horizontal double-hitch suspension carriages","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Railway Engineering and Dynamics","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":"Université Laval","funders":"European Commission","keywords":"Skyline; Tension (geology); Suspension (topology); Structural engineering; Computer science; Engineering; Materials science; Composite material; Mathematics; Civil engineering","score_opus":0.03507095312437405,"score_gpt":0.23482132049220908,"score_spread":0.19975036736783502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287255638","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":[0.8240349,0.0009432096,0.15028855,0.0002620294,0.0014974541,0.000650962,0.00024987326,0.0025058582,0.019567126],"genre_scores_gemma":[0.9947394,0.0001110368,0.001967565,0.000006565373,0.00013381662,9.387281e-8,0.001949352,0.0008256542,0.00026651096],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987202,0.000042628326,0.0002528993,0.00035956755,0.00023365501,0.0003909946],"domain_scores_gemma":[0.99915546,0.000056277368,0.0000407743,0.00024454494,0.0003496126,0.00015333541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030541077,0.00018796303,0.0002256652,0.0001585669,0.0009225945,0.00048510308,0.00021741523,0.00008842287,0.00032344167],"category_scores_gemma":[0.00018402102,0.00022576444,0.00006563053,0.00029734708,0.000050779367,0.0002227024,0.00034254172,0.00023955294,0.000128245],"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":[0.00080773834,0.00026019732,0.000044275417,0.0011163153,0.00044655273,0.000119813594,0.0012093433,0.24756944,0.66625816,0.0066948617,0.027726335,0.04774695],"study_design_scores_gemma":[0.004229314,0.00025000758,0.00033434958,0.00018121788,0.000065321095,0.00026800812,0.0007439555,0.81542635,0.0066239894,0.000071740615,0.1713008,0.0005049305],"about_ca_topic_score_codex":0.000009183837,"about_ca_topic_score_gemma":0.000003207448,"teacher_disagreement_score":0.6596342,"about_ca_system_score_codex":0.00026192324,"about_ca_system_score_gemma":0.000003944266,"threshold_uncertainty_score":0.92064065},"labels":[],"label_agreement":null},{"id":"W4292148289","doi":"10.1139/cjce-2021-0602","title":"A review of the fatigue limit for steel bridges under Ontario highway traffic loading","year":2022,"lang":"en","type":"review","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Ministère des Transports","keywords":"Truck; Structural engineering; Range (aeronautics); Bridge (graph theory); Stress (linguistics); Fatigue limit; Engineering; Limit (mathematics); Automotive engineering; Mathematics","score_opus":0.037849853296914995,"score_gpt":0.23158074212887592,"score_spread":0.19373088883196093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292148289","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":[0.000013552657,0.99011475,0.0057518706,0.000020319916,0.0030805964,0.0005103183,0.00016908647,0.00005139572,0.0002880984],"genre_scores_gemma":[0.0006482404,0.998365,0.0002666218,0.000028801698,0.00024669452,0.000051332765,0.000028981587,0.00021060013,0.00015374555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977485,0.000031944783,0.0012206456,0.00018086963,0.0002626647,0.00055535324],"domain_scores_gemma":[0.9983747,0.00030518926,0.00035929793,0.0004456056,0.00008983687,0.00042536712],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005461097,0.00053782016,0.0017265836,0.0005750813,0.000088022105,0.000047319045,0.000878185,0.00020327358,0.00017306997],"category_scores_gemma":[0.00020656799,0.00046009256,0.0011706518,0.0005192184,0.000026930073,0.00010969621,0.000025173249,0.0011900546,0.0000010070385],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.6564196e-7,0.000003895054,8.273442e-7,0.08353365,0.00038082324,0.000015526672,0.00010580381,0.87878597,6.6413634e-7,0.00014659406,0.004161955,0.032863833],"study_design_scores_gemma":[0.000119921075,0.000033806802,0.0000058314777,0.078988165,0.0006156942,0.00026793033,0.000009666667,0.008510798,6.76202e-7,0.0000025953009,0.9110428,0.00040212253],"about_ca_topic_score_codex":0.00051922305,"about_ca_topic_score_gemma":0.10317074,"teacher_disagreement_score":0.90688086,"about_ca_system_score_codex":0.0019518697,"about_ca_system_score_gemma":0.0019933768,"threshold_uncertainty_score":0.99978507},"labels":[],"label_agreement":null},{"id":"W4292261361","doi":"10.1108/jqme-01-2022-0004","title":"Condition-based monitoring of the rail wheel using logical analysis of data and ant colony optimization","year":2022,"lang":"en","type":"article","venue":"Journal of Quality in Maintenance Engineering","topic":"Railway Engineering and Dynamics","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":"Polytechnique Montréal","funders":"","keywords":"Ant colony optimization algorithms; Engineering; Artificial intelligence; Artificial neural network; Data mining; Computer science","score_opus":0.03885443131445104,"score_gpt":0.29514765277373217,"score_spread":0.25629322145928113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292261361","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":[0.6629351,0.00027242475,0.3363196,0.000031811902,0.00028040493,0.00004647086,0.000097473654,0.000012732315,0.000004005878],"genre_scores_gemma":[0.97877944,0.00004889427,0.021107387,0.000005818365,0.00003076885,0.0000017922416,0.000008692271,0.00001549886,0.0000017248682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862665,0.000058589067,0.00074127794,0.00010135283,0.00031307715,0.00015904395],"domain_scores_gemma":[0.99909,0.00024144707,0.000258924,0.00028821742,0.000081667466,0.000039749153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011963156,0.00011633343,0.00043147156,0.00036044273,0.000033435063,0.000010887383,0.000352425,0.000042492204,0.000007729718],"category_scores_gemma":[0.0002706154,0.0001016842,0.00010309866,0.00089580636,0.000032593704,0.00014861453,0.00009103522,0.00034510554,1.1929621e-8],"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":[0.000013855632,0.000024194163,0.014465426,0.00011257956,0.00015616343,0.0000044043813,0.00016839948,0.97990775,0.0049819616,0.000087923865,0.0000050639082,0.00007226934],"study_design_scores_gemma":[0.00033287512,0.000023481434,0.031931486,0.00011526097,0.000121556885,0.000009412187,0.00027411585,0.9667994,0.0002559417,0.000007995114,0.000029488241,0.00009902004],"about_ca_topic_score_codex":0.00001938084,"about_ca_topic_score_gemma":0.0000021769242,"teacher_disagreement_score":0.31584433,"about_ca_system_score_codex":0.00018344852,"about_ca_system_score_gemma":0.00003793306,"threshold_uncertainty_score":0.41465613},"labels":[],"label_agreement":null},{"id":"W4293083942","doi":"10.1155/2022/6126823","title":"Simulation‐Based Tracking Test and Optimization of Large‐Tonnage Box Girder Transport with Trolley on an Erected Bridge","year":2022,"lang":"en","type":"article","venue":"Advances in Civil Engineering","topic":"Railway Engineering and Dynamics","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":"Impact","funders":"National Natural Science Foundation of China","keywords":"Tonnage; Structural engineering; Box girder; Bridge (graph theory); Stress (linguistics); Girder; Load testing; Engineering; Geology","score_opus":0.004877268759467294,"score_gpt":0.21452313951437502,"score_spread":0.20964587075490773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293083942","genre_codex":"methods","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":[0.17843711,0.000576285,0.81991047,0.000006071944,0.00016294878,0.00019048234,0.0000814735,0.0004365825,0.00019856846],"genre_scores_gemma":[0.9898333,0.00004597019,0.009868549,0.000010218519,0.000025619422,0.000048200054,0.0000748067,0.00008703027,0.0000062986983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900395,0.000010916659,0.0002741263,0.00022131177,0.00021751777,0.0002721951],"domain_scores_gemma":[0.9994028,0.00027566394,0.000036859386,0.00019858195,0.000026300855,0.00005980217],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014485448,0.00021881657,0.0002505838,0.00031188497,0.000054395663,0.000011093929,0.00010966411,0.000044187458,0.000024630064],"category_scores_gemma":[0.00005311311,0.00024643407,0.000028598814,0.00053049345,0.000012469462,0.00035373436,0.000009350026,0.00027336957,1.5484223e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025516418,0.000063928135,0.0024845044,0.0001571147,0.000010355303,0.000011384166,0.00025522467,0.99614054,0.00032356658,0.000059174206,4.441034e-7,0.00046822237],"study_design_scores_gemma":[0.0009986658,0.00016966685,0.0060558533,0.00008677825,0.000011954345,0.0000020327502,0.00004079637,0.99184513,0.00017153751,0.0000039690913,0.00033560375,0.00027803503],"about_ca_topic_score_codex":0.0000043391287,"about_ca_topic_score_gemma":0.0000690055,"teacher_disagreement_score":0.8113962,"about_ca_system_score_codex":0.00008438035,"about_ca_system_score_gemma":0.000012070567,"threshold_uncertainty_score":0.9999988},"labels":[],"label_agreement":null},{"id":"W4293223114","doi":"10.1088/1757-899x/1229/1/012007","title":"Ground track response behaviour induced by train speed using seismic wave method","year":2022,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Railway Engineering and Dynamics","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":"WiLAN (Canada)","funders":"","keywords":"Track (disk drive); Acceleration; Settlement (finance); Vibration; Stiffness; Critical speed; Structural engineering; Ground vibrations; Engineering; Geodesy; Acoustics; Geology; Computer science; Physics; Mechanical engineering","score_opus":0.0281029828102407,"score_gpt":0.2441964388258348,"score_spread":0.2160934560155941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293223114","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":[0.98421377,0.00006798291,0.0134709105,0.000052746753,0.0012819803,0.00019349495,0.00016892105,0.0004993768,0.00005078886],"genre_scores_gemma":[0.99485683,0.000019985686,0.004859316,0.000024892417,0.000055264798,0.000029687355,0.0000148729905,0.00006695021,0.00007217856],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794024,0.000059089147,0.0003819064,0.00043288662,0.0004932846,0.00069258036],"domain_scores_gemma":[0.99930197,0.000056835313,0.000048802725,0.0003061382,0.00007906891,0.0002071925],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017207481,0.00035360042,0.00037813716,0.00032262233,0.00055974897,0.00035237192,0.0003649393,0.00008229151,0.00011368943],"category_scores_gemma":[0.000097385906,0.0004053287,0.000033873283,0.0006415617,0.00011031402,0.00076100527,0.00023313293,0.0002858605,0.0000020322232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037878854,0.0000076777815,0.0000020987266,0.000042008207,0.000008709289,0.000013336974,0.00097383227,0.1772633,0.8210357,0.0001894179,0.000015019261,0.0004110352],"study_design_scores_gemma":[0.00029840218,0.00014503438,0.00097514153,0.00003459736,0.000023339855,0.0002891596,0.0009200077,0.65963644,0.33635473,0.00004564917,0.0006209311,0.0006565301],"about_ca_topic_score_codex":0.00007802563,"about_ca_topic_score_gemma":0.000001664576,"teacher_disagreement_score":0.48468095,"about_ca_system_score_codex":0.00030504298,"about_ca_system_score_gemma":0.00014165457,"threshold_uncertainty_score":0.99983984},"labels":[],"label_agreement":null},{"id":"W4293254211","doi":"10.1061/jtepbs.0000685","title":"Railway Dynamic Load Factors Developed from Instrumented Wheelset Measurements","year":2022,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"National Research Council Canada; University of Alberta","funders":"","keywords":"Track (disk drive); Structural engineering; Tangent; Dynamic load testing; Engineering; Track geometry; Section (typography); Computer science; Mechanical engineering; Mathematics","score_opus":0.017623474860201067,"score_gpt":0.2032775331834821,"score_spread":0.18565405832328102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293254211","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":[0.91270584,0.0022541222,0.077789314,0.000015829415,0.0060517867,0.00021306137,0.0005941488,0.00033142025,0.000044499608],"genre_scores_gemma":[0.99848074,0.000048096204,0.00096677,0.000004839658,0.00008700812,0.000040411105,0.00022612847,0.00008732923,0.000058662048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764323,0.000030704443,0.000988571,0.00015275313,0.0008880252,0.00029672217],"domain_scores_gemma":[0.9992457,0.000055691886,0.00021020632,0.0001831978,0.00014268978,0.00016251203],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041357393,0.00031622913,0.00056572154,0.00027413442,0.000080551414,0.000047607344,0.0002785882,0.000074619755,0.000071764414],"category_scores_gemma":[0.000018818122,0.00031594024,0.0002477543,0.00035421437,0.000007637488,0.00024875827,0.000005275495,0.0004579107,0.000003180161],"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":[0.000014511339,0.000024399995,0.0016162931,0.000100373414,0.0011315049,0.00002414794,0.0009314797,0.99176997,0.003992138,0.00001077727,0.00031776025,0.00006663077],"study_design_scores_gemma":[0.0026701842,0.00022528354,0.028814701,0.00029048795,0.0012066646,0.00007612343,0.0011460475,0.8746658,0.0011160669,0.000008745225,0.08852709,0.0012528058],"about_ca_topic_score_codex":0.000034615514,"about_ca_topic_score_gemma":0.000021917886,"teacher_disagreement_score":0.11710419,"about_ca_system_score_codex":0.00059423305,"about_ca_system_score_gemma":0.00008660745,"threshold_uncertainty_score":0.99992925},"labels":[],"label_agreement":null},{"id":"W4293764631","doi":"10.1061/9780784484371.003","title":"Review of TCRP Rail Break Gap Formulas","year":2022,"lang":"en","type":"article","venue":"International Conference on Transportation and Development 2022","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Fastener; Track (disk drive); Structural engineering; Engineering; Mechanical engineering","score_opus":0.02417626955003701,"score_gpt":0.24394442903161984,"score_spread":0.21976815948158282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293764631","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":[0.63403606,0.021673527,0.12751593,0.0038901072,0.007685194,0.0019884226,0.002524358,0.0016608998,0.19902553],"genre_scores_gemma":[0.99243975,0.0049577905,0.0010936818,0.00030056172,0.000010232336,0.000078734716,0.0007417937,0.000014499788,0.00036294395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929905,0.000007359254,0.0002550264,0.000102665115,0.00025949624,0.00007639205],"domain_scores_gemma":[0.9998039,0.000015213809,0.000036370726,0.000056580324,0.000054158558,0.00003377269],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011541587,0.00008944682,0.00010795534,0.000095087664,0.000040657902,0.000007522002,0.00010620385,0.000016315931,0.0013543374],"category_scores_gemma":[0.0000047744384,0.000098531695,0.000024451023,0.0000775981,0.000009780239,0.000051069248,0.000004002234,0.000119350676,0.000004902341],"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":[0.0003147659,0.00058243924,0.0060899663,0.0121736955,0.0011244351,0.000089079425,0.01406043,0.24690089,0.011194172,0.3651307,0.036608852,0.30573058],"study_design_scores_gemma":[0.0037648892,0.00035919814,0.059326448,0.0045219264,0.000061196326,0.0000592664,0.0024329876,0.18338667,0.0057346974,0.002749926,0.7355481,0.0020546967],"about_ca_topic_score_codex":0.000003860186,"about_ca_topic_score_gemma":0.000010218127,"teacher_disagreement_score":0.69893926,"about_ca_system_score_codex":0.000046554127,"about_ca_system_score_gemma":0.000043187476,"threshold_uncertainty_score":0.99955857},"labels":[],"label_agreement":null},{"id":"W4293764725","doi":"10.1061/9780784484371.005","title":"Ballast Resistance: Discreet vs. Unit Resistance","year":2022,"lang":"en","type":"article","venue":"International Conference on Transportation and Development 2022","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Ballast; Resistance (ecology); Unit (ring theory); Computer science; Materials science; Optoelectronics; Electrical engineering; Engineering; Mathematics; Biology","score_opus":0.016305321446406413,"score_gpt":0.2228431807444308,"score_spread":0.20653785929802437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293764725","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":[0.6620034,0.0006252924,0.08018947,0.003716323,0.004369841,0.00068953214,0.0020263228,0.0015628081,0.24481702],"genre_scores_gemma":[0.99018544,0.00012633926,0.002042457,0.0001025339,0.000018730736,0.000092165,0.0008069579,0.000020712734,0.006604642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990713,0.0000120217,0.00022852745,0.00017968866,0.0003787202,0.0001297229],"domain_scores_gemma":[0.9997643,0.000020640542,0.000030016006,0.00008110863,0.000046468882,0.000057469693],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000104022976,0.00013044472,0.00009835462,0.00012824887,0.0001342698,0.000039808252,0.00015934324,0.000026064927,0.0010057825],"category_scores_gemma":[0.000004223137,0.0001510554,0.000019685962,0.0001116892,0.000018105495,0.00007711211,0.000005451847,0.00020215304,0.000009816429],"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":[0.00093735446,0.00023103354,0.007386791,0.0003103542,0.00041730606,0.00017412732,0.011633991,0.26349044,0.0022843005,0.679772,0.019205747,0.014156525],"study_design_scores_gemma":[0.0014083713,0.00005073929,0.11722895,0.00009989409,0.000012386485,0.0000033709089,0.0022761598,0.027240967,0.0005297475,0.0016104488,0.84870476,0.00083418086],"about_ca_topic_score_codex":0.000002325301,"about_ca_topic_score_gemma":0.0003880247,"teacher_disagreement_score":0.82949907,"about_ca_system_score_codex":0.000082855695,"about_ca_system_score_gemma":0.000050176233,"threshold_uncertainty_score":0.99990743},"labels":[],"label_agreement":null},{"id":"W4293765145","doi":"10.1061/9780784484371.006","title":"Rail Break Gap in a Frozen Ballasted Track","year":2022,"lang":"en","type":"article","venue":"International Conference on Transportation and Development 2022","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Track (disk drive); Breathing; Breathing gas; Ballast; Point (geometry); Structural engineering; Mechanics; Engineering; Physics; Electrical engineering; Mathematics; Mechanical engineering; Geometry; Anatomy","score_opus":0.02107304811316609,"score_gpt":0.22543894540336842,"score_spread":0.20436589729020233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293765145","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":[0.976664,0.00005825022,0.005793232,0.0002983604,0.0007565855,0.0001516697,0.00014889173,0.00022022602,0.01590878],"genre_scores_gemma":[0.9980981,0.000057995338,0.0006843733,0.00007746269,0.000010365768,0.00008528925,0.0004926826,0.000014761088,0.00047898362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923503,0.0000108455015,0.00022659685,0.00014982795,0.00026461255,0.00011306892],"domain_scores_gemma":[0.9998455,0.000018400551,0.000020267224,0.00004916398,0.000024797211,0.00004188001],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010007182,0.000108185275,0.00009251295,0.00019327467,0.00004572925,0.00002446606,0.000111287874,0.000027105629,0.0012339255],"category_scores_gemma":[0.0000032449382,0.00012829438,0.00001614268,0.00010671433,0.000008997147,0.000064674416,0.000003802786,0.00019921741,0.000011131638],"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":[0.00026578884,0.00029642522,0.016253574,0.000110218316,0.000222043,0.00021151973,0.018733934,0.8261783,0.006104586,0.057279278,0.0019128635,0.07243144],"study_design_scores_gemma":[0.003571173,0.00012582475,0.40392292,0.00009319997,0.000008685135,0.000029686562,0.0046141096,0.5206679,0.00097584684,0.0013553798,0.063546136,0.0010891451],"about_ca_topic_score_codex":0.000012714049,"about_ca_topic_score_gemma":0.00015557982,"teacher_disagreement_score":0.38766935,"about_ca_system_score_codex":0.000098122444,"about_ca_system_score_gemma":0.000043650245,"threshold_uncertainty_score":0.9996791},"labels":[],"label_agreement":null},{"id":"W4297905952","doi":"10.3233/ica-220692","title":"A geographic information model for 3-D environmental suitability analysis in railway alignment optimization","year":2022,"lang":"en","type":"article","venue":"Integrated Computer-Aided Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":22,"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 British Columbia","funders":"","keywords":"Computer science; Geographic information system; Genetic algorithm; Process (computing); Data mining; Set (abstract data type); Machine learning; Geography; Remote sensing","score_opus":0.004003878826511779,"score_gpt":0.16580327326137392,"score_spread":0.16179939443486213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297905952","genre_codex":"methods","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":[0.16648342,0.00006360896,0.831946,0.000010227642,0.00032672306,0.00033812207,0.00028734424,0.0005226026,0.0000219485],"genre_scores_gemma":[0.9308182,0.00002084184,0.06751589,0.000020809937,0.000023162362,0.00035721817,0.0011930359,0.00004254572,0.000008317684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985644,0.000018327366,0.00054127094,0.00023194234,0.00024008771,0.00040392907],"domain_scores_gemma":[0.9994914,0.00006766292,0.000044084805,0.00028881765,0.000019344223,0.00008868315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030019548,0.00029865373,0.00033549618,0.0009907419,0.00007848126,0.000066673885,0.00024279264,0.00008290726,0.000030681862],"category_scores_gemma":[0.000011177246,0.0003598124,0.00019896349,0.001021102,0.000011510571,0.00034859887,0.00006973872,0.0003301031,0.0000014757982],"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":[0.00001062451,0.000035432466,0.0006271491,0.000043788208,0.00019218502,0.000001377756,0.00035849147,0.99587435,0.0002122004,0.00012095287,0.000023244256,0.0025002377],"study_design_scores_gemma":[0.00050137745,0.000048824622,0.0012020103,0.000010266679,0.00006805859,0.0000038933886,0.00005205936,0.9973584,0.00005142927,0.000015018278,0.0003316056,0.0003570955],"about_ca_topic_score_codex":0.000029097879,"about_ca_topic_score_gemma":0.000011692434,"teacher_disagreement_score":0.7644301,"about_ca_system_score_codex":0.0006635193,"about_ca_system_score_gemma":0.000016954464,"threshold_uncertainty_score":0.9998854},"labels":[],"label_agreement":null},{"id":"W4308516379","doi":"10.3390/infrastructures7110151","title":"Performance Evaluation of Carrying Capacity of Prestressed Bearers for Railway Turnouts Using Laboratory Experiments in Vietnam","year":2022,"lang":"en","type":"article","venue":"Infrastructures","topic":"Railway Engineering and Dynamics","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":"Toronto Metropolitan University","funders":"Bộ Giáo dục và Ðào tạo","keywords":"Engineering; Axle; Factory (object-oriented programming); Structural engineering; Gauge (firearms); Carrying capacity; Forensic engineering; Computer science","score_opus":0.02079909402966122,"score_gpt":0.25208735162314827,"score_spread":0.23128825759348706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308516379","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":[0.99769473,0.0002729716,0.00097641104,9.034739e-7,0.00042541188,0.0002824205,0.00019271318,0.000038511742,0.000115915886],"genre_scores_gemma":[0.99731517,0.0000043846144,0.0025441137,0.0000022242716,0.000022663338,0.00006389061,0.000020733105,0.000025868037,9.4369364e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910593,0.000028243016,0.00027585158,0.00010910347,0.00032068038,0.00016018166],"domain_scores_gemma":[0.999637,0.000029531626,0.00007121338,0.00016284741,0.00007454434,0.000024885052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000273942,0.000117148935,0.00018605519,0.00016601228,0.00004668813,0.000005267757,0.00012485372,0.00004583626,0.000026099864],"category_scores_gemma":[0.000038859205,0.00013401402,0.000037605234,0.00021307053,0.000027451912,0.00008928602,0.000026888318,0.00012937868,4.059093e-8],"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":[0.000012659522,0.00000712724,0.007305815,0.0001302052,0.000021090586,1.2481817e-7,0.0011769783,0.87640274,0.11452492,0.000026171414,0.000014115261,0.0003780813],"study_design_scores_gemma":[0.0005864118,0.00003445996,0.02942296,0.000037997943,0.000019952624,0.0000010379314,0.0003243295,0.9255182,0.043808967,0.000100291385,0.000025075822,0.000120318415],"about_ca_topic_score_codex":0.000029649304,"about_ca_topic_score_gemma":0.0000051174175,"teacher_disagreement_score":0.07071596,"about_ca_system_score_codex":0.00025283286,"about_ca_system_score_gemma":0.00005140723,"threshold_uncertainty_score":0.5464933},"labels":[],"label_agreement":null},{"id":"W4309761035","doi":"10.1109/ias54023.2022.9939715","title":"A Novel Regression Model-Based Toolbox for Induced Voltage Prediction on Rail Tracks Due to AC Electromagnetic Interference of Adjacent Power Lines","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"Manitoba Hydro; University of Saskatchewan","funders":"","keywords":"Electric power transmission; Electromagnetic interference; Computer science; Interference (communication); Transmission line; Electronic engineering; Voltage; Line (geometry); Engineering; Electrical engineering; Telecommunications; Channel (broadcasting); Mathematics","score_opus":0.01520000690139248,"score_gpt":0.24363427791423298,"score_spread":0.2284342710128405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309761035","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":[0.5836256,0.00005329275,0.4125419,0.0002781506,0.00031400242,0.0010240276,0.00154054,0.0004189444,0.00020354008],"genre_scores_gemma":[0.9878016,0.00000549367,0.008848155,0.00014771202,0.00015769576,0.0025625976,0.00015006332,0.000081763465,0.00024488813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983437,0.000021668478,0.0004844831,0.00042280887,0.00033873413,0.00038862508],"domain_scores_gemma":[0.9989613,0.00017339102,0.000122034966,0.0004575675,0.00015229164,0.00013338715],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040276823,0.00028756962,0.0002859027,0.00011268423,0.00031415612,0.00002553395,0.00039038213,0.00033334945,0.000021717708],"category_scores_gemma":[0.00006584063,0.00032525335,0.00019135716,0.0006978904,0.000028813482,0.000080826576,0.00005227255,0.001141138,0.0000023799178],"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":[0.00003346325,0.00016317262,0.000012458768,0.00007907269,0.000030530122,2.416323e-7,0.000986661,0.7615203,0.23088421,0.000081480954,0.0045845774,0.0016237804],"study_design_scores_gemma":[0.0005811505,0.00048723578,0.00013255373,0.00012059887,0.000040208877,0.000006796912,0.00159385,0.97134507,0.023341412,0.000040613555,0.0019685004,0.00034203392],"about_ca_topic_score_codex":0.000008161133,"about_ca_topic_score_gemma":0.0000020471205,"teacher_disagreement_score":0.40417603,"about_ca_system_score_codex":0.0003317433,"about_ca_system_score_gemma":0.000099476594,"threshold_uncertainty_score":0.99991995},"labels":[],"label_agreement":null},{"id":"W4317607132","doi":"10.1016/j.trd.2023.103615","title":"Minimizing costs and carbon emissions in railway alignment optimization: A bi-objective model","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Central South University; National Natural Science Foundation of China","keywords":"Greenhouse gas; Particle swarm optimization; Energy consumption; Life-cycle assessment; Global warming; Carbon sink; Environmental science; Carbon fibers; Service life; Engineering; Computer science; Production (economics); Climate change; Reliability engineering; Algorithm","score_opus":0.024695221178936657,"score_gpt":0.25518638394686033,"score_spread":0.23049116276792367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317607132","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":[0.9860637,0.00032439452,0.011851373,0.00018392841,0.0000556908,0.00044163174,0.000094656476,0.0002153316,0.00076926954],"genre_scores_gemma":[0.9903889,0.0074286577,0.0014111914,0.000006062112,0.000018687639,0.00019076322,0.0002730772,0.000046199995,0.00023650273],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985341,0.000020083333,0.0003105393,0.0003182227,0.00038408287,0.00043297058],"domain_scores_gemma":[0.9995683,0.000057117162,0.000013115028,0.00014813586,0.000010978509,0.00020235158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037590327,0.00018693304,0.00019771213,0.00029740733,0.00009477447,0.000014761833,0.00006238367,0.00010927391,0.000022777731],"category_scores_gemma":[0.0000026842442,0.00019974443,0.00003060368,0.00032654847,0.000091291266,0.00009624196,0.0000039830725,0.0002644569,0.0000035562982],"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":[0.000018038081,0.000024293278,0.011977887,0.00008519191,0.000020907595,0.000035448084,0.002014941,0.98443013,0.0005827832,0.00010763155,0.000027600481,0.0006751546],"study_design_scores_gemma":[0.0006143994,0.00003543793,0.084668025,0.000085920285,0.000014776328,6.957037e-7,0.00050379836,0.9130992,0.00016218578,0.00008111174,0.0005146933,0.00021975746],"about_ca_topic_score_codex":0.000062954,"about_ca_topic_score_gemma":0.00014595114,"teacher_disagreement_score":0.07269014,"about_ca_system_score_codex":0.00010649162,"about_ca_system_score_gemma":0.00001737835,"threshold_uncertainty_score":0.8145341},"labels":[],"label_agreement":null},{"id":"W4319833480","doi":"10.1177/03611981221145125","title":"Effects of Pavement Characteristics on Rolling Resistance of Heavy Vehicles: A Literature Review","year":2023,"lang":"en","type":"review","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Rolling resistance; Resistance (ecology); Surface finish; Tread; Bottleneck; Engineering; Structural engineering; Environmental science; Materials science; Mechanical engineering; Composite material","score_opus":0.054277113266476926,"score_gpt":0.3589601556454452,"score_spread":0.30468304237896826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319833480","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":[0.0054654256,0.9904334,0.00046025641,0.000103298604,0.0007446157,0.0021421628,0.0005644885,0.0000619871,0.000024378454],"genre_scores_gemma":[0.0017483181,0.996776,0.00049757934,0.000007044166,0.00016052209,0.00015308012,0.00010925805,0.0001768401,0.00037135632],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99181557,0.0008502725,0.0029971781,0.00035997835,0.0032495952,0.00072740833],"domain_scores_gemma":[0.9936593,0.0024662348,0.0008681892,0.00065237004,0.002085647,0.00026821255],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0037766083,0.00049223064,0.0021945236,0.0015249795,0.00014027536,0.000052848354,0.0011931187,0.00039432917,0.000014272444],"category_scores_gemma":[0.00030722196,0.0003641235,0.0011329863,0.0037520186,0.0002418537,0.00018383343,0.0000065115223,0.0035099937,0.000010475674],"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":[0.00033076128,0.0002888137,0.00016820477,0.8850508,0.0012947714,0.00043949616,0.001186423,0.0038284848,0.00022953333,0.00096291106,0.0051343744,0.10108545],"study_design_scores_gemma":[0.00095192634,0.00069451815,0.0061808955,0.7107895,0.00088133744,9.882295e-7,0.000086281376,0.00026971998,0.00045196267,0.00030899994,0.27880567,0.00057815644],"about_ca_topic_score_codex":0.00008387695,"about_ca_topic_score_gemma":0.00051195215,"teacher_disagreement_score":0.2736713,"about_ca_system_score_codex":0.00029331705,"about_ca_system_score_gemma":0.0004516777,"threshold_uncertainty_score":0.9998811},"labels":[],"label_agreement":null},{"id":"W4362712108","doi":"10.5267/j.esm.2023.3.002","title":"The effect of hardness matching of rail/wheel materials on wear rate of railway wheel","year":2023,"lang":"en","type":"article","venue":"Engineering Solid Mechanics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tread; Materials science; Automotive engineering; Wheel running; Material properties; MATLAB; Blanking; Composite material; Structural engineering; Computer science; Mechanical engineering; Engineering; Natural rubber","score_opus":0.004124233271884925,"score_gpt":0.20337539253071732,"score_spread":0.19925115925883238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362712108","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":[0.942602,0.00023684245,0.052324004,0.000018476114,0.0034958085,0.00036729194,0.00014118629,0.00073521887,0.00007921417],"genre_scores_gemma":[0.9988286,0.0003114703,0.0004489701,0.0000020452983,0.000088716966,0.000041449977,0.000022916569,0.00015097686,0.00010483822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982932,0.00005086241,0.00069780275,0.00020102352,0.00027877715,0.00047833883],"domain_scores_gemma":[0.99861944,0.00053479435,0.00013045024,0.00058331055,0.000051107978,0.00008089792],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001279132,0.0003627419,0.0007092334,0.00028886617,0.000047630216,0.000024498882,0.0004079607,0.0001734771,0.000008508002],"category_scores_gemma":[0.00025127077,0.00030324468,0.00017534486,0.00054183527,0.000019879168,0.000077756304,0.000076933226,0.0002541614,0.000020232417],"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":[0.000026163916,0.000004844879,0.0000018683099,0.0007677891,0.00010069255,0.0000030235299,0.00018173008,0.62838036,0.36645478,0.003678121,0.000072903196,0.0003277359],"study_design_scores_gemma":[0.0004083858,0.00017285437,0.00006527636,0.0003433786,0.0000347284,0.000002889192,0.000036224752,0.44621763,0.5520511,0.00013328987,0.0003172972,0.00021692562],"about_ca_topic_score_codex":0.0000084892645,"about_ca_topic_score_gemma":0.0000011068847,"teacher_disagreement_score":0.18559633,"about_ca_system_score_codex":0.000050758423,"about_ca_system_score_gemma":0.000016461678,"threshold_uncertainty_score":0.99994195},"labels":[],"label_agreement":null},{"id":"W4380488362","doi":"10.1061/9780784484883.046","title":"Threshold Radius for Restraining Rail","year":2023,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"RADIUS; Tangent; Derailment; Flange; Turning radius; Spiral (railway); Radius of curvature; Track (disk drive); Climb; Structural engineering; Engineering; Mechanics; Control theory (sociology); Curvature; Geometry; Mathematics; Physics; Computer science; Mechanical engineering; Aerospace engineering","score_opus":0.019573530509275107,"score_gpt":0.2280037535722527,"score_spread":0.2084302230629776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380488362","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":[0.47915187,0.00026563476,0.37304834,0.00041533628,0.0031107382,0.0005064697,0.00007603505,0.01617744,0.12724815],"genre_scores_gemma":[0.9894691,0.00004559883,0.0059317267,0.000025180956,0.00017841434,0.000049600094,0.00004479821,0.0000652278,0.004190321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951386,8.9756935e-7,0.00009718669,0.000087437365,0.000057437606,0.00024319482],"domain_scores_gemma":[0.99975264,0.00005541794,0.0000037612035,0.00013035849,0.00000889077,0.000048942733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097105585,0.00008543984,0.000083042,0.00008237987,0.000029269622,0.000021675927,0.00007770452,0.000049529583,0.00001372681],"category_scores_gemma":[0.000019530687,0.00008534706,0.000044782628,0.00018978749,0.000007247415,0.00004331349,0.000008242555,0.00006282247,0.00008063738],"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":[0.0000018190746,0.0000016410878,0.00005804454,0.000055690874,0.000020459118,0.0000043772066,0.00013508409,0.96313787,0.0016690143,0.007998542,0.022189807,0.004727656],"study_design_scores_gemma":[0.00018912416,0.000012089287,0.00040663712,0.000008793549,0.0000033981687,0.0000022248319,0.000049059934,0.9790117,0.0003334266,0.0006585817,0.019198403,0.00012657576],"about_ca_topic_score_codex":9.860938e-7,"about_ca_topic_score_gemma":0.00000248695,"teacher_disagreement_score":0.51031727,"about_ca_system_score_codex":0.000016464955,"about_ca_system_score_gemma":0.000004925196,"threshold_uncertainty_score":0.34803522},"labels":[],"label_agreement":null},{"id":"W4380488477","doi":"10.1061/9780784484883.047","title":"Determination of Unit Ballast Resistance from Discreet Resistance per Tie","year":2023,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Ballast; Track (disk drive); Stiffness; Engineering; Structural engineering; Marine engineering; Electrical engineering; Mechanical engineering","score_opus":0.00859973781174577,"score_gpt":0.20481339945331437,"score_spread":0.1962136616415686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380488477","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":[0.4576456,0.00056085637,0.39591238,0.00020724785,0.0008155982,0.00020059124,0.000418132,0.0026630664,0.14157654],"genre_scores_gemma":[0.96580505,0.0000984887,0.014840682,0.000006001899,0.000055318586,0.000009926543,0.00009897173,0.00004429812,0.019041242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939215,0.000007175341,0.00017674468,0.00011836849,0.00014341387,0.00016214141],"domain_scores_gemma":[0.9995917,0.00008156675,0.000017529159,0.00023820047,0.00003057254,0.00004043424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006614777,0.00010642619,0.00012623947,0.00008870853,0.000022523764,0.000014663565,0.00012304385,0.00005827714,0.00005700106],"category_scores_gemma":[0.000025957163,0.00010806733,0.00003594562,0.00027004816,0.000018889983,0.00008237414,0.000016400394,0.00007249924,0.00006964864],"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":[0.00021488497,0.000114675735,0.007982692,0.002428452,0.00030383863,0.000114350645,0.0040309043,0.7173112,0.09739055,0.061921854,0.081878185,0.026308438],"study_design_scores_gemma":[0.00053582055,0.000016596738,0.045910247,0.00024614707,0.000027190581,4.8235603e-7,0.00031457137,0.86706334,0.004385213,0.0028944644,0.07801901,0.00058692606],"about_ca_topic_score_codex":0.000011634957,"about_ca_topic_score_gemma":0.0007634442,"teacher_disagreement_score":0.50815946,"about_ca_system_score_codex":0.000026838123,"about_ca_system_score_gemma":0.00000647556,"threshold_uncertainty_score":0.44068578},"labels":[],"label_agreement":null},{"id":"W4381057238","doi":"10.3397/nc_2023_0047","title":"Review and Analysis of the Vibration Assessment Procedures Advocated by the Railway Association of Canada","year":2023,"lang":"en","type":"article","venue":"NOISE-CON proceedings","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"Soft dB (Canada)","funders":"","keywords":"Train; Vibration; Parametric statistics; Computer science; Engineering; Acoustics; Mathematics; Geography; Statistics; Physics","score_opus":0.004030674010989999,"score_gpt":0.2030034297948116,"score_spread":0.1989727557838216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381057238","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":[0.9914756,0.0027940823,0.00023588543,0.002281556,0.00019208508,0.0005630581,0.00012456409,0.00021096076,0.0021222208],"genre_scores_gemma":[0.9981164,0.0012780372,0.000036244073,0.0001250661,0.000009655122,0.00003413755,0.000029536388,0.000015903637,0.00035505192],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992864,0.000005943581,0.0002585762,0.00009916937,0.0002114142,0.00013846692],"domain_scores_gemma":[0.9995711,0.00005751174,0.00013080536,0.00008158658,0.00013294186,0.000026041163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003450189,0.00009970702,0.0002308842,0.000065765154,0.000048721286,0.000015613221,0.00012665144,0.00004871652,0.0000058911046],"category_scores_gemma":[0.00019208256,0.00006696196,0.00005021263,0.0013348006,0.000013724773,0.00006978367,0.000020876661,0.00010718937,2.03973e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010999012,0.000049360002,0.15216897,0.014911281,0.0041463166,2.8691426e-7,0.0021599024,0.12730365,0.14105612,0.002176957,0.55377024,0.0022459307],"study_design_scores_gemma":[0.0002851837,0.000026009351,0.36215374,0.00054425036,0.0019596855,0.0000012220817,0.00028588861,0.6227501,0.006607506,0.00006631674,0.00501666,0.00030345458],"about_ca_topic_score_codex":0.0013421235,"about_ca_topic_score_gemma":0.0029490641,"teacher_disagreement_score":0.54875356,"about_ca_system_score_codex":0.00012686301,"about_ca_system_score_gemma":0.000081603226,"threshold_uncertainty_score":0.27306297},"labels":[],"label_agreement":null},{"id":"W4381572945","doi":"10.1061/ppscfx.sceng-1305","title":"Permissible Additional Stress in Rail and Preventive Measures","year":2023,"lang":"en","type":"article","venue":"Practice Periodical on Structural Design and Construction","topic":"Railway Engineering and Dynamics","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":"SNC-Lavalin (Canada)","funders":"","keywords":"Fastener; Track (disk drive); Structural engineering; Bridge (graph theory); Stress (linguistics); Engineering; Urban rail transit; Ultimate tensile strength; Forensic engineering; Civil engineering; Materials science; Mechanical engineering; Composite material","score_opus":0.013053570677326038,"score_gpt":0.23800314862792651,"score_spread":0.22494957795060047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381572945","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":[0.97565204,0.0005697331,0.01944327,0.0005497266,0.00073178945,0.0004248377,0.00036757646,0.00078162184,0.0014793904],"genre_scores_gemma":[0.99030465,0.00046242308,0.008926072,0.000030284717,0.00007900075,0.000037547987,0.0000831054,0.000021550348,0.000055361546],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991663,0.00007377892,0.00016998436,0.00020264115,0.000191562,0.00019573316],"domain_scores_gemma":[0.99937415,0.00039306548,0.000028063856,0.00007259767,0.000030194275,0.00010193049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001482742,0.00015343422,0.00014744954,0.00015589317,0.00012859225,0.00014301359,0.000040362178,0.00009998258,0.000121708785],"category_scores_gemma":[0.00027314562,0.0001454985,0.0000218817,0.00022646526,0.00014726925,0.0003306695,0.00001553507,0.0002805238,0.00001142226],"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":[0.000534158,0.000033247114,0.0020202708,0.00030242733,0.00021131425,0.00015249179,0.0021827428,0.2799702,0.0038255288,0.012488894,0.002405955,0.6958728],"study_design_scores_gemma":[0.00095472,0.00014270566,0.031705815,0.00015209608,0.000039646104,0.00051558047,0.0012764294,0.95414585,0.00044394686,0.002811153,0.0073327897,0.00047926078],"about_ca_topic_score_codex":0.000007719963,"about_ca_topic_score_gemma":0.0000027288188,"teacher_disagreement_score":0.6953935,"about_ca_system_score_codex":0.000038272483,"about_ca_system_score_gemma":0.000027477741,"threshold_uncertainty_score":0.5933257},"labels":[],"label_agreement":null},{"id":"W4381707495","doi":"10.11214/actaun.2022.073","title":"STUDIES OF CULVERTS ON THE HIGH-SPEED SECTION OF THE TASHKENT-SIRDARYA RAILWAY LINE IN THE FIRST QUARTER","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Culvert; Section (typography); Quarter (Canadian coin); Line (geometry); Railway line; Engineering; History; Structural engineering; Computer science; Transport engineering; Geometry; Archaeology; Mathematics; Operating system","score_opus":0.023059647309841957,"score_gpt":0.2117563190901595,"score_spread":0.18869667178031754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381707495","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":[0.98093474,0.00024200084,0.00069376105,0.0028459944,0.00066118536,0.00070970063,0.00022979536,0.00038656942,0.013296254],"genre_scores_gemma":[0.99942696,0.000051596326,0.000008448677,0.000061163264,0.00005263377,1.503662e-7,0.000053533287,0.00025348322,0.00009203686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990177,0.00018946538,0.00020125722,0.00011632428,0.00032684082,0.000148418],"domain_scores_gemma":[0.9993914,0.00007469384,0.000050475737,0.0003766616,0.00009129746,0.000015473306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065841107,0.00009048403,0.00010786552,0.0000995618,0.0006939173,0.00004569844,0.00067799474,0.000020424703,0.00048606412],"category_scores_gemma":[0.00017753911,0.000056827073,0.00004671424,0.0005927525,0.0000799629,0.000045969045,0.0003020463,0.00031418237,0.000045712433],"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":[0.000072935996,0.00019159004,0.00002689874,0.00020179797,0.000149813,0.000004750399,0.01334033,0.81686115,0.00569591,0.007842507,0.15127108,0.0043412736],"study_design_scores_gemma":[0.0012435901,0.0008071104,0.008627317,0.00012990659,0.00004391274,0.00006575991,0.009019332,0.1092681,0.002440195,0.0003636347,0.8676435,0.0003476839],"about_ca_topic_score_codex":0.0000092446635,"about_ca_topic_score_gemma":0.000001612653,"teacher_disagreement_score":0.7163724,"about_ca_system_score_codex":0.000102516504,"about_ca_system_score_gemma":0.0000012866024,"threshold_uncertainty_score":0.5337121},"labels":[],"label_agreement":null},{"id":"W4381886148","doi":"10.2139/ssrn.4488160","title":"An Innovative Approach to Continuously Monitor Rail Track Surface Deformation During Freezing-Thawing Seasons","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Track (disk drive); Deformation (meteorology); Surface (topology); Environmental science; Mechanical engineering; Materials science; Engineering; Composite material; Geometry; Mathematics","score_opus":0.009801797991822429,"score_gpt":0.2248411684299445,"score_spread":0.21503937043812207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381886148","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":[0.7325697,0.0005124431,0.26404288,0.000054405555,0.0010612503,0.0003233557,0.000049614508,0.0010502178,0.00033616257],"genre_scores_gemma":[0.992516,0.00079366856,0.0046847262,0.000007362854,0.0008092346,0.000037695634,0.00018512442,0.0002731075,0.0006930899],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957063,0.00007078175,0.00060910295,0.00043686613,0.0004726721,0.0027042616],"domain_scores_gemma":[0.9987526,0.00003941928,0.00017442051,0.0005299467,0.00025050505,0.00025311025],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015084823,0.0005949272,0.00056320004,0.00044971105,0.00023941077,0.00034872026,0.00070964143,0.00043116108,0.000002063302],"category_scores_gemma":[0.00008416177,0.00065021333,0.00017700477,0.00071769854,0.000021791117,0.00039504925,0.00013890854,0.0060908734,0.0000592732],"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":[0.000018771418,0.00003269141,0.00042011557,0.0001844448,0.0003522933,0.000003476891,0.0016173365,0.9914842,0.00367292,0.00082954636,0.000070982314,0.001313176],"study_design_scores_gemma":[0.0014666097,0.0002291524,0.006009517,0.00071534334,0.00016308771,0.00062970934,0.005091918,0.9744088,0.0015061757,0.0067649446,0.00039022925,0.0026245317],"about_ca_topic_score_codex":0.000055281824,"about_ca_topic_score_gemma":0.00017926392,"teacher_disagreement_score":0.25994632,"about_ca_system_score_codex":0.0025756794,"about_ca_system_score_gemma":0.0006282706,"threshold_uncertainty_score":0.9995949},"labels":[],"label_agreement":null},{"id":"W4382516693","doi":"10.4203/ccc.1.27.19","title":"Railway Track Substructure Evaluation Using Instrumented Wheelset Continuous Measurements","year":2023,"lang":"en","type":"article","venue":"Civil-comp conferences","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"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 Alberta","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Substructure; Track (disk drive); Computer science; Structural engineering; Automotive engineering; Engineering; Operating system","score_opus":0.05826500358677663,"score_gpt":0.265276039674117,"score_spread":0.20701103608734037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382516693","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":[0.98371726,0.00063411746,0.0045244093,0.000031260206,0.001685097,0.00039100205,0.00008381482,0.001347167,0.007585876],"genre_scores_gemma":[0.99911636,0.00007149666,0.0003689525,0.000011273526,0.00009927128,0.00003951287,0.00018295528,0.000043423763,0.00006673892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983708,0.000055633245,0.00033319884,0.00027207177,0.00055260403,0.00041568794],"domain_scores_gemma":[0.99937224,0.000044030163,0.000054135267,0.0002643633,0.00016084859,0.000104355255],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044842047,0.00029852914,0.00037909916,0.00018353386,0.000098188066,0.00012834715,0.0002400878,0.00014174411,0.000249097],"category_scores_gemma":[0.000053965196,0.00028043461,0.00011183441,0.00038769466,0.00004493651,0.00018034269,0.00002506898,0.00020780425,0.000050635375],"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":[0.00001213103,0.000024497765,0.00559545,0.00019722783,0.0011429038,0.000009756214,0.001090436,0.9490856,0.017506419,0.00038361448,0.0019592552,0.022992745],"study_design_scores_gemma":[0.00057734956,0.000023463193,0.008120401,0.000056885914,0.0002891016,0.000008226968,0.00019986807,0.98641247,0.0015834323,0.00048500052,0.0018572623,0.00038652227],"about_ca_topic_score_codex":0.000046767826,"about_ca_topic_score_gemma":0.0001673726,"teacher_disagreement_score":0.03732692,"about_ca_system_score_codex":0.00009873109,"about_ca_system_score_gemma":0.00007062241,"threshold_uncertainty_score":0.9999648},"labels":[],"label_agreement":null},{"id":"W4382516793","doi":"10.4203/ccc.1.21.16","title":"Laboratory and Field Validation of Novel Conductive Adhesion Enhancing Materials for Railroads","year":2023,"lang":"en","type":"article","venue":"Civil-comp conferences","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"L.B. Foster Rail Technologies (Canada); University of British Columbia","funders":"","keywords":"Adhesion; Electrical conductor; Field (mathematics); Computer science; Materials science; Engineering; Composite material; Mathematics","score_opus":0.022788747278497015,"score_gpt":0.2462447005215799,"score_spread":0.22345595324308287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382516793","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":[0.9663889,0.000095200536,0.031852245,0.000024107536,0.00060776406,0.0001483827,0.00013901864,0.00023793767,0.0005064553],"genre_scores_gemma":[0.9988449,0.00010097177,0.0008753877,0.000005603633,0.000052005344,0.000028744143,0.000044158478,0.000015229406,0.000032985525],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946034,0.00000830741,0.0001892659,0.000118474345,0.00008739436,0.00013621617],"domain_scores_gemma":[0.9995354,0.00020910299,0.000034838562,0.00009096107,0.00009834722,0.000031365158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021560922,0.00010447481,0.0001883461,0.00008027846,0.000030898376,0.000031036077,0.00006631278,0.00007487715,0.00001719641],"category_scores_gemma":[0.000109999695,0.00010343219,0.000019172629,0.00010746764,0.000022299513,0.0000967757,0.000015805837,0.00004451982,0.000002452591],"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":[0.000010689214,0.0000093670815,0.00011206656,0.00040729606,0.000038588027,4.1988216e-7,0.00062816753,0.011328306,0.98265314,0.003591795,0.0005130281,0.00070713053],"study_design_scores_gemma":[0.00032549162,0.0000727381,0.00059346075,0.00011461559,0.00001561169,6.828751e-7,0.0002981977,0.061693374,0.9357337,0.00027372854,0.000711495,0.00016695764],"about_ca_topic_score_codex":0.000017759809,"about_ca_topic_score_gemma":0.00001712541,"teacher_disagreement_score":0.050365068,"about_ca_system_score_codex":0.000011485687,"about_ca_system_score_gemma":0.000027185779,"threshold_uncertainty_score":0.42178422},"labels":[],"label_agreement":null},{"id":"W4382517250","doi":"10.4203/ccc.1.7.4","title":"Towards a Valid Model of Train Braking System at Low Adhesion Condition","year":2023,"lang":"en","type":"article","venue":"Civil-comp conferences","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Huddersfield","keywords":"Computer science; Braking system; Dynamic braking; Automotive engineering; Engineering; Brake","score_opus":0.027601159424836205,"score_gpt":0.2347438184833717,"score_spread":0.2071426590585355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382517250","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":[0.9159428,0.00012929949,0.06282226,0.0000149042235,0.0005885933,0.00015474045,0.00017616269,0.0014864467,0.01868481],"genre_scores_gemma":[0.99922556,0.00007569333,0.00033304823,0.0000033509652,0.000049653503,0.000023113414,0.000101581136,0.000031964293,0.00015601334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990137,0.000019104415,0.0002966745,0.00017848061,0.00022507958,0.00026695724],"domain_scores_gemma":[0.9995789,0.000060997587,0.000048358088,0.00019217616,0.000048411894,0.00007116762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017882153,0.00018296667,0.00029260546,0.00014886034,0.000055466262,0.000031458272,0.00017848212,0.00010994134,0.000021909826],"category_scores_gemma":[0.000016852058,0.00018151075,0.000085696774,0.00020212379,0.000036963673,0.000090236004,0.000035205463,0.00010761391,0.000040898452],"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":[0.000005329521,0.000007906352,0.00011227933,0.0008563873,0.000038558144,0.0000057682705,0.0007447649,0.96622455,0.021179562,0.00874163,0.000493265,0.0015899702],"study_design_scores_gemma":[0.0002003762,0.000023742434,0.0008443462,0.00032544264,0.000015937903,0.0000049852715,0.00025427004,0.99127376,0.0065099844,0.00025052673,0.000095820986,0.00020078536],"about_ca_topic_score_codex":0.000023395905,"about_ca_topic_score_gemma":0.00003139671,"teacher_disagreement_score":0.0832828,"about_ca_system_score_codex":0.000088509456,"about_ca_system_score_gemma":0.000040853978,"threshold_uncertainty_score":0.74017936},"labels":[],"label_agreement":null},{"id":"W4382680943","doi":"10.11159/iccste23.209","title":"Enhancing the Performance of Railway Trackbed with Vibro Stone Column Technique","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Column (typography); Computer science; Computer network","score_opus":0.00705493130005149,"score_gpt":0.19645475422970368,"score_spread":0.18939982292965218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382680943","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":[0.99822867,0.000013194226,0.000788711,0.00010795236,0.00019100805,0.0001825462,0.000038972918,0.00015588615,0.00029303378],"genre_scores_gemma":[0.9992466,0.000068156354,0.00053645653,0.000004154978,0.000026207505,0.000035457182,0.000011611263,0.000021444157,0.00004989589],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992363,9.3102943e-7,0.00024993857,0.00011515781,0.00026445507,0.00013325048],"domain_scores_gemma":[0.99967474,0.000032251734,0.00006961169,0.00005833981,0.00013770245,0.000027339654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010114271,0.00014720786,0.00014424737,0.00010234535,0.000043329834,0.000024733681,0.0002478988,0.000045433706,0.000009853122],"category_scores_gemma":[0.000011614722,0.000095748255,0.00004015373,0.00026717305,0.000046187637,0.00016243297,0.0000075406547,0.00018209749,4.0191802e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044935186,0.000004373972,0.0037583474,0.00054526643,0.00010630076,5.424969e-7,0.0009551989,0.39742583,0.58119124,0.015450349,0.00001438398,0.0005031941],"study_design_scores_gemma":[0.00029087876,0.00007903548,0.12608545,0.0005372164,0.000026519587,0.000010175985,0.0002308482,0.57379264,0.298526,0.00017106817,0.00004107475,0.00020913062],"about_ca_topic_score_codex":0.000008377452,"about_ca_topic_score_gemma":0.000021366051,"teacher_disagreement_score":0.28266528,"about_ca_system_score_codex":0.000019521785,"about_ca_system_score_gemma":0.000010646938,"threshold_uncertainty_score":0.39045006},"labels":[],"label_agreement":null},{"id":"W4382989313","doi":"10.1680/jphmg.22.00032","title":"Centrifuge modelling of ground vibrations mitigation by inclined geofoam barrier","year":2023,"lang":"en","type":"article","venue":"International Journal of Physical Modelling in Geotechnics","topic":"Railway Engineering and Dynamics","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":"BGC Engineering (Canada)","funders":"","keywords":"Centrifuge; Geotechnical engineering; Vibration; Noise barrier; Engineering; Structural engineering; Physics; Acoustics","score_opus":0.01138720311106139,"score_gpt":0.22940950026009024,"score_spread":0.21802229714902885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382989313","genre_codex":"methods","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":[0.4013978,0.00006713645,0.5979797,0.00007206304,0.0002778259,0.00004095292,0.000046233203,0.000073841235,0.00004441385],"genre_scores_gemma":[0.99398607,0.00031045894,0.0053430786,0.000008458224,0.00023370434,0.0000037918396,0.000055594715,0.0000367704,0.000022065147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855375,0.000014646948,0.00062269665,0.000108971675,0.00049913727,0.0002008105],"domain_scores_gemma":[0.99917567,0.00015233611,0.00014717587,0.00015152864,0.00030373898,0.000069559464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002550744,0.00014631388,0.0002454001,0.0004003601,0.000022408525,0.00003370531,0.00044242557,0.000103199774,0.0000027951576],"category_scores_gemma":[0.00005225585,0.00015513336,0.00013663156,0.00043561048,0.000029321653,0.0002994395,0.00004739456,0.00040960487,0.0000050116532],"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":[0.000013103317,0.000053961892,0.000012303979,0.00002122322,0.00005371247,0.000008449904,0.00024412727,0.9886157,0.008244836,0.0021164005,0.00010777609,0.00050843373],"study_design_scores_gemma":[0.00031188372,0.000034647903,0.000008431474,0.00013475538,0.0000129733735,0.0000055333076,0.000025325982,0.9833232,0.0034690571,0.0122289,0.00031486872,0.00013038283],"about_ca_topic_score_codex":0.000016738868,"about_ca_topic_score_gemma":9.134242e-7,"teacher_disagreement_score":0.59263664,"about_ca_system_score_codex":0.00013101756,"about_ca_system_score_gemma":0.000035495563,"threshold_uncertainty_score":0.63261545},"labels":[],"label_agreement":null},{"id":"W4384931175","doi":"10.1680/jinam.22.00039","title":"Benders decomposition to accelerate determination of optimal railway intervention programmes","year":2023,"lang":"en","type":"article","venue":"Infrastructure Asset Management","topic":"Railway Engineering and Dynamics","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":"National Research Council Canada","funders":"","keywords":"Intervention (counseling); Asset (computer security); Closing (real estate); Process (computing); Task (project management); Decomposition; Computer science; Operations research; Business; Process management; Operations management; Engineering; Finance; Systems engineering; Computer security","score_opus":0.005887079776677185,"score_gpt":0.25149611305009234,"score_spread":0.24560903327341516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384931175","genre_codex":"methods","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":[0.43542084,0.000014906599,0.5609772,0.00007524903,0.00066125445,0.0004394553,0.000026832548,0.0007747768,0.0016095011],"genre_scores_gemma":[0.9678016,0.000019390525,0.031744987,0.000016515887,0.000037191036,0.000065322165,0.00019311973,0.000033079064,0.000088805275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991712,0.000010966988,0.00025213335,0.00015764224,0.00017926331,0.0002287735],"domain_scores_gemma":[0.9996742,0.000012417391,0.00003522954,0.00018017559,0.00004200344,0.000055960252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120715966,0.00015393255,0.0001362577,0.00037999963,0.000028810986,0.000052247226,0.00015105645,0.000057988633,0.000022596976],"category_scores_gemma":[0.0000071366467,0.00016419032,0.00006876206,0.0004963951,0.000010060595,0.00012984515,0.00006383102,0.00008342465,0.000027898863],"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":[0.000007679243,0.000009170242,0.0001540604,0.00030534423,0.000060407292,0.000009030726,0.00018792857,0.8195401,0.0011351578,0.00054221455,0.003038362,0.17501058],"study_design_scores_gemma":[0.0005821998,0.00012906604,0.059143335,0.00015475105,0.000059108173,0.0000057594916,0.0004542854,0.9299992,0.0028586346,0.0011201535,0.0051188767,0.00037462715],"about_ca_topic_score_codex":0.000002399815,"about_ca_topic_score_gemma":0.00000446904,"teacher_disagreement_score":0.53238076,"about_ca_system_score_codex":0.00007970148,"about_ca_system_score_gemma":0.0000020615735,"threshold_uncertainty_score":0.6695487},"labels":[],"label_agreement":null},{"id":"W4385602213","doi":"10.1007/978-3-031-34159-5_81","title":"Evaluation of the Load-Carrying Capacity of the Superstructure Elements of an 80-Year-Old Railway Bridge","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; CIMA+ (Canada)","funders":"","keywords":"Serviceability (structure); Engineering; Bridge (graph theory); Structural engineering; Girder; Superstructure; Deck; Beam bridge; Span (engineering); Forensic engineering; Transport engineering","score_opus":0.020020249455437608,"score_gpt":0.21757178858893503,"score_spread":0.19755153913349743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385602213","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":[0.87046534,0.0029875254,0.08405763,0.00010144181,0.014278748,0.00413252,0.0017700203,0.0011771474,0.021029606],"genre_scores_gemma":[0.9988777,0.000044772853,0.0005442991,0.0000048811116,0.00016356318,0.000014458631,0.00002294651,0.00019697096,0.00013042794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99729645,0.000035824105,0.0007439239,0.00030187704,0.0012844788,0.00033744096],"domain_scores_gemma":[0.99837744,0.0001987504,0.00019535041,0.0009505024,0.00022716729,0.00005077643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009132786,0.00049829786,0.00061460014,0.00024315712,0.00003195677,0.000013054722,0.00062587456,0.00053798873,0.00004090924],"category_scores_gemma":[0.00056452805,0.00039315101,0.00029611928,0.00032010116,0.00007554989,0.00007671105,0.00011362891,0.0010033062,0.0000010359743],"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":[0.0000031414083,0.0000053280746,0.00019133226,0.000645245,0.00016206178,6.090442e-7,0.0005587997,0.9862226,0.009831572,0.0011985134,0.000008928307,0.0011718425],"study_design_scores_gemma":[0.0006760434,0.00003550042,0.006015553,0.0018426682,0.00035172372,0.000008290608,0.000007863203,0.96763504,0.017406803,0.0052627404,0.00015700836,0.00060076086],"about_ca_topic_score_codex":0.000061378836,"about_ca_topic_score_gemma":0.00086102047,"teacher_disagreement_score":0.12841232,"about_ca_system_score_codex":0.00055501104,"about_ca_system_score_gemma":0.000105347026,"threshold_uncertainty_score":0.99985206},"labels":[],"label_agreement":null},{"id":"W4385855430","doi":"10.1139/tcsme-2023-0078","title":"Analysis of rail corrugation characteristics in the vehicle braking section of metro","year":2023,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Slip (aerodynamics); Transverse plane; Instability; Mechanics; Finite element method; Threshold braking; Relative motion; Materials science; Structural engineering; Engineering; Automotive engineering; Physics; Brake","score_opus":0.009557270515512356,"score_gpt":0.199533597514809,"score_spread":0.18997632699929665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385855430","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":[0.6036878,0.000029245231,0.39494035,0.00008874456,0.0005514751,0.00023995677,0.0003510409,0.00008891246,0.00002243267],"genre_scores_gemma":[0.99899393,0.000019616535,0.0008775974,0.000007460242,0.000020199112,0.000024125147,0.000025190713,0.000022149887,0.000009725744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992443,0.000008158306,0.0003245907,0.00008230932,0.00014531893,0.00019534536],"domain_scores_gemma":[0.99947363,0.00017371927,0.000046013847,0.00021827381,0.000044528177,0.000043843866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003754042,0.00009702793,0.00024320582,0.00024776053,0.000052786436,0.0000074259315,0.00020126098,0.00011331466,0.000004564327],"category_scores_gemma":[0.000042523203,0.00008543952,0.00047613675,0.0020638867,0.00001720995,0.000050284318,0.0000027750275,0.00018693601,1.5728178e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016436858,0.000005615289,0.000068137895,0.00014882146,0.00030606592,8.295366e-8,0.00047580773,0.9842362,0.0135934455,0.0005511326,0.000011519592,0.00060155103],"study_design_scores_gemma":[0.00012280836,0.000014197788,0.005079579,0.000032661133,0.00028925616,3.9626352e-7,0.00020227149,0.9907135,0.0033610242,0.00002201921,0.000086000575,0.000076316755],"about_ca_topic_score_codex":0.0018000853,"about_ca_topic_score_gemma":0.009270248,"teacher_disagreement_score":0.39530608,"about_ca_system_score_codex":0.00015617139,"about_ca_system_score_gemma":0.00003756205,"threshold_uncertainty_score":0.51730156},"labels":[],"label_agreement":null},{"id":"W4386101468","doi":"10.1016/j.jsv.2023.118020","title":"Dynamics of moving coupled objects with stabilizers and unconventional couplings","year":2023,"lang":"en","type":"article","venue":"Journal of Sound and Vibration","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Instability; Stabilizer (aeronautics); Bogie; Control theory (sociology); Oscillation (cell signaling); Coupling (piping); Beam (structure); Flexibility (engineering); Vibration; Computer science; Classical mechanics; Mechanics; Mathematics; Physics; Engineering; Structural engineering; Acoustics; Mechanical engineering","score_opus":0.00602655206717437,"score_gpt":0.19794940334967873,"score_spread":0.19192285128250436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386101468","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":[0.9428953,0.00011303456,0.056744725,0.000036245638,0.000099730074,0.00002806331,0.0000047090653,0.000028956032,0.000049260594],"genre_scores_gemma":[0.9984109,0.00017574528,0.0013399586,0.0000030928456,0.000037104866,3.7751602e-7,0.000008885056,0.000011342422,0.000012591858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995946,0.0000028479094,0.00017847693,0.000040497234,0.00011551166,0.00006804571],"domain_scores_gemma":[0.9997598,0.000052470306,0.000062352585,0.00003066838,0.000056451627,0.000038275743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014638534,0.00006118926,0.00011507319,0.000106750034,0.000026846865,0.000027803864,0.000021913265,0.000033475055,0.00000221667],"category_scores_gemma":[0.000016326481,0.000051751824,0.000018790784,0.00012332232,0.000025405014,0.00016899027,0.0000053230888,0.000079783786,2.678172e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040135797,0.000011156082,0.009524704,0.00030545855,0.00008291458,0.0000070025403,0.0006567443,0.97404194,0.012909037,0.0017748892,0.00001345002,0.0006325664],"study_design_scores_gemma":[0.00036885738,0.00009800267,0.010218566,0.00006369655,0.00001808612,0.000032836353,0.00046592098,0.98712623,0.00013230449,0.0014099806,0.0000040594373,0.0000614721],"about_ca_topic_score_codex":0.000001779392,"about_ca_topic_score_gemma":0.000014173315,"teacher_disagreement_score":0.055515625,"about_ca_system_score_codex":0.00002370266,"about_ca_system_score_gemma":0.000014473139,"threshold_uncertainty_score":0.21103781},"labels":[],"label_agreement":null},{"id":"W4386364188","doi":"10.1016/j.engstruct.2023.116788","title":"Non-stability of a bogie moving along a specific infinite complex flexibly beam-layer structure","year":2023,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Bogie; Beam (structure); Stiffness; Oscillation (cell signaling); Vibration; Instability; Structural engineering; Damper; Viscoelasticity; Physics; Mechanics; Engineering; Classical mechanics; Control theory (sociology); Computer science; Acoustics","score_opus":0.018384290669269488,"score_gpt":0.22300437999845876,"score_spread":0.20462008932918926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386364188","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":[0.9710598,0.00026610336,0.024416631,0.000016451639,0.0013206576,0.00024171667,0.00026684572,0.0021262034,0.00028561903],"genre_scores_gemma":[0.9904136,0.00006020967,0.008908846,0.000009986253,0.0002753582,0.000013593805,0.00014623177,0.00015645476,0.000015742033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979873,0.000008985691,0.0005710912,0.00037001524,0.00037105335,0.00069157843],"domain_scores_gemma":[0.9988877,0.00015741412,0.000055260814,0.00066930853,0.00006511943,0.00016519435],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000153396,0.00050183025,0.00054195285,0.00051351945,0.000066111235,0.00006522595,0.00040944488,0.00023652207,0.000100148456],"category_scores_gemma":[0.000078445446,0.00052256725,0.00017049655,0.0010725016,0.000054590742,0.00016340724,0.00009786595,0.00052025914,0.000014935736],"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":[0.000006165005,0.0000034108868,0.000617341,0.0004080797,0.000076916556,0.000013390116,0.0004422156,0.8643051,0.13229124,0.00046059504,0.0007423934,0.00063315075],"study_design_scores_gemma":[0.0005043538,0.000041908464,0.15364261,0.00009874338,0.0000271327,0.000024910956,0.00010548121,0.78323543,0.05727452,0.00051113975,0.0037037502,0.00082999736],"about_ca_topic_score_codex":0.000018756647,"about_ca_topic_score_gemma":0.0000026202604,"teacher_disagreement_score":0.15302525,"about_ca_system_score_codex":0.00011216465,"about_ca_system_score_gemma":0.000023454804,"threshold_uncertainty_score":0.9997226},"labels":[],"label_agreement":null},{"id":"W4386568019","doi":"10.1016/j.wear.2023.205116","title":"Investigating the effect of different adhesion materials on electrical resistance using a high pressure torsion rig","year":2023,"lang":"en","type":"article","venue":"Wear","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"L.B. Foster Rail Technologies (Canada)","funders":"Royal Academy of Engineering","keywords":"Materials science; Torsion (gastropod); Composite material; Angle of repose; Electrical conductor; Breakage; Electrical resistivity and conductivity; Adhesion; Electrical engineering","score_opus":0.0067834812203722535,"score_gpt":0.20611165820500213,"score_spread":0.19932817698462987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386568019","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":[0.9989021,0.000074838536,0.00018833482,0.000014279936,0.0003422671,0.00013046805,0.000013079836,0.00029079127,0.00004383554],"genre_scores_gemma":[0.99957865,0.000015810907,0.0001534389,0.0000030542428,0.00009357842,0.000008482867,0.000008367527,0.000032402408,0.000106194435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993155,0.00005681517,0.00017303304,0.00010643632,0.00016622194,0.00018201307],"domain_scores_gemma":[0.9995779,0.00016272732,0.000028304406,0.00019031484,0.0000068883833,0.00003390321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019272555,0.00012434564,0.00018174612,0.000059538233,0.000053251253,0.000018741268,0.00010165194,0.000071217066,0.0000062911304],"category_scores_gemma":[0.00009687181,0.00008159401,0.000034438686,0.00021531072,0.000015682817,0.000022672684,0.000021646496,0.00012199127,0.0000114127315],"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":[0.000017226426,0.0000032491878,0.0005816381,0.00031556573,0.000022202405,0.0000018491593,0.00008066379,0.18351093,0.8146545,0.00030721741,0.00038134685,0.00012357449],"study_design_scores_gemma":[0.00021290912,0.00012279802,0.008611976,0.0002635108,0.000033970333,7.880281e-7,0.0000038681405,0.369359,0.62100595,0.000085842556,0.00016607945,0.00013332418],"about_ca_topic_score_codex":0.000010269826,"about_ca_topic_score_gemma":0.0000011562715,"teacher_disagreement_score":0.19364858,"about_ca_system_score_codex":0.00003057552,"about_ca_system_score_gemma":0.0000027654416,"threshold_uncertainty_score":0.3327307},"labels":[],"label_agreement":null},{"id":"W4386642655","doi":"10.1061/jbenf2.beeng-6394","title":"Comparative Dynamic Load Effects of Tracked and Wheeled Military Vehicles on Bridges","year":2023,"lang":"en","type":"article","venue":"Journal of Bridge Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada); Royal Military College of Canada; Transport Canada","funders":"","keywords":"Range (aeronautics); Bridge (graph theory); Allowance (engineering); Dynamic load testing; Engineering; Simulation; Structural engineering; Aerospace engineering; Mechanical engineering","score_opus":0.0070555756996111205,"score_gpt":0.21665210112587135,"score_spread":0.20959652542626023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386642655","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":[0.9794263,0.0026181142,0.01682646,0.000025282954,0.0007495473,0.00009451986,0.000014300071,0.0002137531,0.00003172121],"genre_scores_gemma":[0.9983202,0.00088648626,0.00061408983,0.000004339438,0.000096214935,0.0000031464401,0.000003640314,0.00004938817,0.000022450557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988846,0.000013807328,0.0004387566,0.0001102189,0.00028654473,0.00026605563],"domain_scores_gemma":[0.99923515,0.0003579227,0.00006043492,0.00014269263,0.000077154604,0.00012663504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023756515,0.00022886021,0.0005156249,0.0003673839,0.000021450644,0.000012903861,0.00014090716,0.00008170984,9.25314e-7],"category_scores_gemma":[0.000105929,0.00022907135,0.00012232095,0.00031289365,0.0000259906,0.00014817882,0.000019724164,0.00035262672,0.000006110929],"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":[0.000019046223,0.00001709657,0.00008529891,0.0005539961,0.00013973929,0.00007425095,0.00062269653,0.95855236,0.038253564,0.000017481882,0.00036297415,0.0013014632],"study_design_scores_gemma":[0.0006190795,0.00017987078,0.0952426,0.00046700452,0.00003637983,0.00006257155,0.000043376127,0.89129007,0.011723101,0.000011411204,0.00012504036,0.00019946933],"about_ca_topic_score_codex":0.0000046660584,"about_ca_topic_score_gemma":0.0000025243537,"teacher_disagreement_score":0.0951573,"about_ca_system_score_codex":0.00011769876,"about_ca_system_score_gemma":0.00002120926,"threshold_uncertainty_score":0.93412584},"labels":[],"label_agreement":null},{"id":"W4386697317","doi":"10.20944/preprints202309.0836.v1","title":"Modeling the Interaction of the Rolling Stock and the Track in the Emergency Braking Mode of a Passenger Train","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Railway Engineering and Dynamics","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":"","keywords":"Bogie; Vibration; Structural engineering; Engineering; Stiffness; Automotive engineering; Suspension (topology); Passenger train; Rigidity (electromagnetism); Physics; Acoustics","score_opus":0.08370432843816239,"score_gpt":0.3153982884693941,"score_spread":0.23169396003123172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386697317","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":[0.9810447,0.0002936982,0.015777126,0.00043393203,0.00097589084,0.0007356238,0.000021225263,0.00011394076,0.0006038524],"genre_scores_gemma":[0.9988625,0.0006705403,0.000071920345,0.000009693349,0.000102254155,0.00016116233,0.0000050744516,0.00006422049,0.000052658124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981079,0.00021611912,0.0007597091,0.00033029084,0.00033128262,0.00025469132],"domain_scores_gemma":[0.99830115,0.00033812106,0.00017078522,0.0011091274,0.000058443566,0.000022369493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015812116,0.00029354682,0.00038840863,0.00010658146,0.00008818483,0.000019880003,0.00090828567,0.00019484734,0.00001162251],"category_scores_gemma":[0.0002722156,0.00015667197,0.00026741868,0.0002795069,0.000078536075,0.0000681443,0.00044704555,0.0014611568,0.0000043650934],"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":[0.000022798746,0.00001582784,0.004212208,0.00027422013,0.0001070252,5.347185e-7,0.013201179,0.9800615,0.0013070066,0.00040710304,0.000003740381,0.00038691424],"study_design_scores_gemma":[0.00023939111,0.0000026223279,0.010926639,0.0003109448,0.000066007764,0.0000044785847,0.0012541019,0.98389125,0.00049866707,0.0026331698,0.000017769888,0.00015494574],"about_ca_topic_score_codex":0.0005375272,"about_ca_topic_score_gemma":0.00027186988,"teacher_disagreement_score":0.017817765,"about_ca_system_score_codex":0.00005668551,"about_ca_system_score_gemma":0.0000281035,"threshold_uncertainty_score":0.63888973},"labels":[],"label_agreement":null},{"id":"W4386855808","doi":"10.1139/cjce-2022-0453","title":"Evaluating the dynamic behavior of railway-bridge transition zone: numerical and field measurements","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Slab; Ballast; Track (disk drive); Structural engineering; Bridge (graph theory); Stiffness; Sensitivity (control systems); Finite element method; Transition zone; Engineering; Geology; Mechanical engineering","score_opus":0.026137798890729466,"score_gpt":0.2509592553246279,"score_spread":0.2248214564338984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386855808","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":[0.88450325,0.0013999973,0.11238532,0.00017539698,0.001114912,0.0001482773,0.000026185275,0.000103321974,0.00014336163],"genre_scores_gemma":[0.9994358,0.000049637812,0.00037060466,0.000011549097,0.00006893336,0.0000064693386,0.0000039376105,0.00004195547,0.0000111135505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989902,0.000014914484,0.00036084405,0.00007800061,0.00022757957,0.00032845748],"domain_scores_gemma":[0.99939656,0.00010035405,0.000048218844,0.00013328729,0.00007800832,0.00024358649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055381266,0.00014854269,0.00022015108,0.00033056378,0.000056119,0.000032537162,0.00015819492,0.00007450489,0.000019228253],"category_scores_gemma":[0.00012896731,0.00013665069,0.00008512784,0.00036514088,0.000018304707,0.00011277508,0.0000063567804,0.00030116216,0.0000021609965],"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":[0.0000029373866,0.0000023397818,0.00027062363,0.00009565587,0.00005455817,0.000029988134,0.0005755205,0.9833171,0.00983611,0.000021555896,0.0002535404,0.0055400957],"study_design_scores_gemma":[0.00031835103,0.00012898979,0.014553538,0.00018986875,0.000077456156,0.00013696279,0.000060282822,0.98365444,0.00042871514,0.000012768998,0.0002546727,0.00018395859],"about_ca_topic_score_codex":0.00013761694,"about_ca_topic_score_gemma":0.0022447743,"teacher_disagreement_score":0.11493257,"about_ca_system_score_codex":0.00009918824,"about_ca_system_score_gemma":0.0000937065,"threshold_uncertainty_score":0.5572454},"labels":[],"label_agreement":null},{"id":"W4387325029","doi":"10.1139/cgj-2022-0666","title":"Use of recycled tyre segments to enhance the stability of ballasted track by increased confinement","year":2023,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council","keywords":"Ballast; Track (disk drive); Settlement (finance); Geotechnical engineering; Deformation (meteorology); Engineering; Breakage; Structural engineering; Centrifuge; Environmental science; Mining engineering; Geology; Materials science; Computer science; Mechanical engineering","score_opus":0.013176339431688623,"score_gpt":0.21735329147351076,"score_spread":0.20417695204182215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387325029","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":[0.98097366,0.00007648352,0.017464582,0.0005076603,0.00021770381,0.00019239796,0.00035695097,0.00011128696,0.0000992916],"genre_scores_gemma":[0.99946535,0.00006666814,0.0002828227,0.00007088757,0.000023878938,0.000007361952,0.000015063367,0.000022712087,0.000045245633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989329,0.00003279419,0.00039973573,0.00010322063,0.00020439793,0.00032696055],"domain_scores_gemma":[0.9990375,0.00011583797,0.0000452465,0.00027242381,0.00008213146,0.00044686114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003540397,0.000119283424,0.00020155836,0.00014265906,0.000047489742,0.000024241956,0.0002493522,0.00009598339,0.00009008989],"category_scores_gemma":[0.00020012037,0.00010176621,0.000072311894,0.0004481199,0.00004130328,0.000044639288,0.00001804149,0.0002854469,0.0000069961256],"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":[0.00004142542,0.000041723797,0.00056273857,0.00010822512,0.0001860248,0.00004480864,0.00023573158,0.77907676,0.13582177,0.00009454037,0.060077615,0.023708612],"study_design_scores_gemma":[0.0006273325,0.000280624,0.018178651,0.0003521378,0.00007555943,0.00006191847,0.0002299582,0.84733886,0.05754852,0.00012445242,0.074536264,0.00064573425],"about_ca_topic_score_codex":0.004873618,"about_ca_topic_score_gemma":0.004058731,"teacher_disagreement_score":0.07827326,"about_ca_system_score_codex":0.00018956051,"about_ca_system_score_gemma":0.00011821605,"threshold_uncertainty_score":0.7367485},"labels":[],"label_agreement":null},{"id":"W4388722159","doi":"10.1177/09544097231214579","title":"A rail corrugation index to characterize noise impacts and grinding effectiveness on rail transit systems","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Manitoba","funders":"National Research Council Canada","keywords":"Grind; Grinding; Noise (video); Tonnage; Automotive engineering; Leverage (statistics); Tangent; Computer science; Environmental science; Engineering; Mathematics; Statistics; Geology; Mechanical engineering","score_opus":0.010059181359277749,"score_gpt":0.19668836574550128,"score_spread":0.18662918438622353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388722159","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":[0.98045254,0.00027101595,0.017481767,0.00020112381,0.0010941714,0.00030933626,0.000033529464,0.00008841992,0.000068084315],"genre_scores_gemma":[0.9990741,0.00066165905,0.00009657253,0.000010467968,0.00011053,0.000009170102,0.0000022567735,0.00002843169,0.0000068100803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986175,0.000013512023,0.0005780568,0.00015323413,0.00038899996,0.00024875492],"domain_scores_gemma":[0.9992783,0.0001074381,0.00015213901,0.00007442964,0.00018048128,0.00020720669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008921334,0.00024274067,0.0005242697,0.0003786044,0.00007247576,0.000037345257,0.00018243678,0.00016037143,0.0000015298247],"category_scores_gemma":[0.00013311798,0.00018590853,0.00014945958,0.00055100175,0.000058142698,0.00027586272,0.000017680726,0.00034932373,8.8264244e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053099677,0.000055366785,0.00021678208,0.0025677239,0.00028835956,0.0000059620784,0.0012149726,0.63552624,0.3506845,0.00628809,0.000095635296,0.0025253524],"study_design_scores_gemma":[0.009223689,0.0023271046,0.045728736,0.013192918,0.00062038,0.000673572,0.0010617634,0.7384921,0.1843504,0.00048447266,0.0024815106,0.0013633842],"about_ca_topic_score_codex":0.0000035477906,"about_ca_topic_score_gemma":5.2881626e-7,"teacher_disagreement_score":0.16633411,"about_ca_system_score_codex":0.00006005376,"about_ca_system_score_gemma":0.00002837385,"threshold_uncertainty_score":0.75811297},"labels":[],"label_agreement":null},{"id":"W4388831554","doi":"10.1111/mice.13125","title":"Optimizing net present values of risk avoidance for mountain railway alignments with seismic performance evaluation","year":2023,"lang":"en","type":"article","venue":"Computer-Aided Civil and Infrastructure Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":13,"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 British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; National Science Foundation","keywords":"Particle swarm optimization; Probabilistic logic; Seismic hazard; Computer science; Seismic risk; Monte Carlo method; Sensitivity (control systems); Reliability engineering; Hazard; Net present value; Mathematical optimization; Algorithm; Engineering; Production (economics); Statistics; Mathematics; Civil engineering; Artificial intelligence","score_opus":0.005182866383549865,"score_gpt":0.19351935200406764,"score_spread":0.18833648562051777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388831554","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":[0.5437695,0.000281098,0.4549113,0.0000043611417,0.00035326797,0.0002470084,0.00003934856,0.00036118703,0.00003298358],"genre_scores_gemma":[0.9664594,0.00032051216,0.032693867,0.0000058042747,0.00027784056,0.000069746,0.000082508304,0.00008016894,0.00001017449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866945,0.000015940079,0.00033053252,0.00028607916,0.00028598282,0.00041199612],"domain_scores_gemma":[0.9993266,0.00015358868,0.00007132521,0.00026605948,0.000083349834,0.000099112236],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032807415,0.00033013825,0.0003387095,0.00024503854,0.000082296174,0.00005176288,0.00017371631,0.00010844614,0.0000037127402],"category_scores_gemma":[0.000027292803,0.00031148008,0.00005567927,0.00035797403,0.000028926514,0.00023809298,0.000056256864,0.00022097076,0.0000012688882],"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":[0.000011904679,0.0000035788555,0.0005247677,0.0003827132,0.00009563585,9.1593984e-7,0.00064175966,0.98028505,0.0010211618,0.000041368326,0.00030259215,0.01668853],"study_design_scores_gemma":[0.0007924384,0.00010661293,0.021220053,0.00024020443,0.00005420977,0.000010284441,0.00003506479,0.9751291,0.0014465424,0.00010726891,0.00052511017,0.00033310725],"about_ca_topic_score_codex":0.000003492839,"about_ca_topic_score_gemma":0.0000011940197,"teacher_disagreement_score":0.4226899,"about_ca_system_score_codex":0.00008751509,"about_ca_system_score_gemma":0.000019645215,"threshold_uncertainty_score":0.9999337},"labels":[],"label_agreement":null},{"id":"W4388874059","doi":"10.1115/detc2023-110347","title":"Numerical Analysis of Phase Nonreciprocity in a Linear Spatiotemporally Modulated System","year":2023,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Concordia University","funders":"","keywords":"Amplitude; Reciprocity (cultural anthropology); Physics; Amplitude modulation; Vibration; Transmissibility (structural dynamics); Modulation (music); Phase (matter); Frequency modulation; Quasiperiodic function; Transmission (telecommunications); Phase modulation; Envelope (radar); Parametric statistics; Control theory (sociology); Acoustics; Optics; Computer science; Mathematics; Quantum mechanics; Condensed matter physics; Telecommunications; Radio frequency; Vibration isolation","score_opus":0.011303210851696211,"score_gpt":0.2461137562087462,"score_spread":0.23481054535704998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388874059","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":[0.84421843,0.0000129234795,0.15391766,0.000006440601,0.00011324691,0.00006356351,0.000024681114,0.0008514686,0.0007915796],"genre_scores_gemma":[0.9981263,0.000007221929,0.0016464669,0.0000017052354,0.000012622207,0.0000075706257,0.000095505886,0.000020017584,0.000082534316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992876,0.000010399265,0.00029616652,0.0001162707,0.00012253564,0.0001670104],"domain_scores_gemma":[0.9996909,0.000036039357,0.000018586177,0.00017804072,0.000026767286,0.000049664588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014794657,0.000101189886,0.00030490744,0.0005712946,0.000008043067,0.000005747694,0.00008098208,0.000073375806,0.000013797437],"category_scores_gemma":[0.000018961095,0.000100276775,0.0000894724,0.0029287166,0.0000067036112,0.000041421743,0.00000995378,0.00008701497,0.000023234299],"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":[0.0000050423037,0.000020966958,0.0018093165,0.00009130625,0.00021102435,0.000011097828,0.00010343477,0.99599445,0.0011263167,0.00007322831,0.00003496721,0.0005188208],"study_design_scores_gemma":[0.00030302635,0.000016343056,0.008517158,0.00001666656,0.0000558162,3.8139845e-7,0.000035740326,0.9905918,0.00033134388,0.0000021384546,0.00002729312,0.00010227145],"about_ca_topic_score_codex":0.00014805156,"about_ca_topic_score_gemma":0.000033678927,"teacher_disagreement_score":0.15390792,"about_ca_system_score_codex":0.000060259146,"about_ca_system_score_gemma":0.000007730418,"threshold_uncertainty_score":0.4089168},"labels":[],"label_agreement":null},{"id":"W4389074989","doi":"10.1121/10.0022781","title":"Nonreciprocal phase shifts in spatiotemporally varying materials","year":2023,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Railway Engineering and Dynamics","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":"Concordia University","funders":"","keywords":"Amplitude; Reciprocity (cultural anthropology); Phase difference; Context (archaeology); Transmission (telecommunications); Phase (matter); Vibration; Physics; Acoustics; Elasticity (physics); Computer science; Optics; Telecommunications; Quantum mechanics; Thermodynamics","score_opus":0.011548703524251042,"score_gpt":0.2466507940110718,"score_spread":0.23510209048682074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389074989","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":[0.6574685,0.00013945108,0.3399532,0.0013366875,0.0007575555,0.00011977777,0.000026649666,0.00008543824,0.00011274261],"genre_scores_gemma":[0.9903885,0.00040804615,0.008906815,0.000106040716,0.00014160587,0.0000010792367,0.0000012502569,0.000025676198,0.00002096622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989872,0.000046152054,0.00042536273,0.00004747793,0.00027436344,0.00021941878],"domain_scores_gemma":[0.99933624,0.00028216877,0.00011569269,0.00017566317,0.000040349983,0.000049854923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059521303,0.00011212035,0.00026568765,0.000030993862,0.000044254448,0.000013247906,0.00037783728,0.00006091573,0.000017296436],"category_scores_gemma":[0.00011151476,0.0000664316,0.00015386342,0.00034995138,0.000120758545,0.00006359176,0.0000639825,0.00031741647,0.000006006331],"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":[0.00004006492,0.000036948106,0.000023927703,0.00007376772,0.00006812371,0.000002780152,0.00086788484,0.8969994,0.0917704,0.0000020768662,0.0044645118,0.005650074],"study_design_scores_gemma":[0.00049542746,0.00009007177,0.0010642229,0.00011026369,0.000049498067,0.000011762992,0.00038885753,0.9943629,0.0027653114,0.00027435165,0.00028708583,0.00010026654],"about_ca_topic_score_codex":0.00001597687,"about_ca_topic_score_gemma":3.2644687e-7,"teacher_disagreement_score":0.33292004,"about_ca_system_score_codex":0.00005597076,"about_ca_system_score_gemma":0.00002919,"threshold_uncertainty_score":0.27090022},"labels":[],"label_agreement":null},{"id":"W4389272955","doi":"10.3397/in_2023_0645","title":"Study of Simple Prediction Method for Road Traffic Vibration from viaducts","year":2023,"lang":"en","type":"article","venue":"NOISE-CON proceedings","topic":"Railway Engineering and Dynamics","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":"Nexen (Canada)","funders":"","keywords":"Vibration; Pier; Structural engineering; Slab; Engineering; Point (geometry); Traffic flow (computer networking); Computer science; Acoustics; Mathematics; Geometry; Physics","score_opus":0.015481170766889842,"score_gpt":0.24788538062206433,"score_spread":0.2324042098551745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389272955","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":[0.97864884,0.00002108466,0.018629622,0.000017639339,0.00042676978,0.0005688316,0.00009893256,0.0013305738,0.0002576897],"genre_scores_gemma":[0.9951482,0.000011705355,0.0042666784,0.0000057754946,0.0001853545,0.00015699008,0.00011557674,0.00006210944,0.000047629692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907875,0.0000035625408,0.00030878495,0.00023386242,0.00015648072,0.00021857406],"domain_scores_gemma":[0.9996358,0.000058372432,0.000048777092,0.000097228956,0.00010274295,0.00005707321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002248849,0.00016364313,0.00022545196,0.00019113545,0.000053924916,0.000035290144,0.00011476601,0.00010683155,0.000004823489],"category_scores_gemma":[0.00007646949,0.00017784147,0.000052873373,0.00045546071,0.000007731031,0.00022523585,0.000015465388,0.00010698876,0.000009402615],"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":[0.00005084717,0.00011212005,0.0010897125,0.0003310433,0.00016680118,0.0000010135931,0.0073636435,0.8298882,0.1386193,0.0002034321,0.0046442393,0.017529614],"study_design_scores_gemma":[0.00082506146,0.00021889163,0.015165503,0.000021677937,0.00005534316,0.000001168355,0.001528805,0.9760794,0.005387151,0.00021416425,0.00033957153,0.00016326274],"about_ca_topic_score_codex":0.000020369145,"about_ca_topic_score_gemma":0.0000066064836,"teacher_disagreement_score":0.14619116,"about_ca_system_score_codex":0.00004347216,"about_ca_system_score_gemma":0.000008638939,"threshold_uncertainty_score":0.72521645},"labels":[],"label_agreement":null},{"id":"W4389584916","doi":"10.17118/11143/21045","title":"Prediction of mode-splitting phenomenon in rings deviated fromaxisymmetric","year":2023,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Memorial University of Newfoundland","funders":"","keywords":"Rotational symmetry; Mode (computer interface); Physics; Mechanics; Computer science","score_opus":0.0139255519072981,"score_gpt":0.19621147000540953,"score_spread":0.18228591809811143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389584916","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":[0.96686256,0.00006649065,0.021220524,0.000004939475,0.0002074426,0.00007239786,0.000020008985,0.0011300849,0.010415544],"genre_scores_gemma":[0.9985333,0.00006354448,0.0011181743,0.0000017770485,0.000023020246,0.00000921567,0.000035565874,0.000028383489,0.00018699394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993662,0.000004435998,0.00023656739,0.0000994469,0.00009865888,0.00019465797],"domain_scores_gemma":[0.99977845,0.000044288106,0.000013740885,0.00011661086,0.000014452835,0.000032479362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013126816,0.00008982072,0.00013260852,0.0005180784,0.000010264657,0.00000722601,0.00006913039,0.00006085021,0.0000097913735],"category_scores_gemma":[0.000033347183,0.00009634865,0.00002579976,0.0014362931,0.0000057030115,0.00007303978,0.000016944772,0.00009858979,0.000027942866],"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":[0.000001399946,0.0000070704455,0.0050684595,0.000085494336,0.000013042405,0.0000019681831,0.00019066125,0.9847881,0.0059096273,0.0003761492,0.00009738202,0.003460632],"study_design_scores_gemma":[0.00019241245,0.000012677388,0.034723703,0.000028248298,0.0000029589542,5.5915103e-7,0.00005062098,0.9637017,0.0009562509,0.000164475,0.00009247345,0.00007392541],"about_ca_topic_score_codex":0.000045115674,"about_ca_topic_score_gemma":0.0000063842153,"teacher_disagreement_score":0.031670757,"about_ca_system_score_codex":0.00005889064,"about_ca_system_score_gemma":0.0000043648242,"threshold_uncertainty_score":0.39289838},"labels":[],"label_agreement":null},{"id":"W4389890585","doi":"10.1615/intjmultcompeng.2023049905","title":"NUMERICAL METHODS OF HYDRO-DYNAMIC COUPLING IN SATURATED SOIL AND ITS APPLICATION TO RAILWAY ENGINEERING","year":2023,"lang":"en","type":"article","venue":"International Journal for Multiscale Computational Engineering","topic":"Railway Engineering and Dynamics","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":"Queen's University","funders":"","keywords":"Subgrade; Geotechnical engineering; Pore water pressure; Vibration; Permeability (electromagnetism); Coupling (piping); Displacement (psychology); Track (disk drive); Drainage; Geology; Materials science; Engineering; Composite material","score_opus":0.009584836157272727,"score_gpt":0.298980503049859,"score_spread":0.2893956668925863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389890585","genre_codex":"methods","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":[0.3068579,0.0002786514,0.6913158,0.00009026031,0.0010470705,0.00015908806,0.000037462192,0.0002083187,0.000005402415],"genre_scores_gemma":[0.92417073,0.00007312701,0.07536342,0.000009171439,0.00012574463,0.000058272322,0.000112778434,0.00006960383,0.000017143657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864036,0.00000806269,0.00054964377,0.00021055498,0.00029551017,0.00029585382],"domain_scores_gemma":[0.9989932,0.00046639564,0.000055355278,0.000075445074,0.00025940742,0.00015017347],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003940407,0.00021588699,0.00028041058,0.00072931143,0.00003308728,0.000058538106,0.00022539897,0.00009710654,0.0000023933214],"category_scores_gemma":[0.00028664005,0.0002566055,0.00009143958,0.00054250495,0.0000066853363,0.00017516647,0.0000451218,0.00027802726,0.0000046620007],"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":[0.000011929665,0.000013038798,0.00009188277,0.00008509039,0.000087394365,0.000010229645,0.00012567652,0.9561808,0.039575867,0.0004170331,0.000015666063,0.0033854085],"study_design_scores_gemma":[0.00057280733,0.00001803028,0.0067686774,0.00015706748,0.000007612901,0.00007360826,0.000018143752,0.9895006,0.00220852,0.00008922731,0.0003420041,0.00024373076],"about_ca_topic_score_codex":0.000003695749,"about_ca_topic_score_gemma":0.0000018863087,"teacher_disagreement_score":0.61731285,"about_ca_system_score_codex":0.00019324104,"about_ca_system_score_gemma":0.000025079586,"threshold_uncertainty_score":0.9999886},"labels":[],"label_agreement":null},{"id":"W4390263794","doi":"10.1155/2023/6649871","title":"Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Train; Control theory (sociology); Nonlinear system; Linearization; Piecewise linear function; Brake; Nonlinear programming; Linear programming; Automotive engineering; Computer science; Mathematical optimization; Engineering; Mathematics; Control (management); Physics","score_opus":0.012656566979164893,"score_gpt":0.23685365001040354,"score_spread":0.22419708303123864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390263794","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18489271,0.000043771735,0.8137186,0.00006310027,0.0007253814,0.00024715177,0.00004471864,0.00025093753,0.000013607755],"genre_scores_gemma":[0.66241074,0.00005172743,0.33682016,0.000009217586,0.00016982098,0.000019532252,0.00041620637,0.0000675761,0.000035041052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910724,0.000005851507,0.000439378,0.00008654757,0.00016669302,0.00019429227],"domain_scores_gemma":[0.999522,0.000059244452,0.00010450541,0.00007129976,0.00017179528,0.00007115878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017845484,0.00012991758,0.00019361956,0.00022929485,0.000035599613,0.000015390435,0.00007123176,0.00006924036,0.0000073512124],"category_scores_gemma":[0.000036993366,0.0001295614,0.00013071278,0.00037665805,0.000010347127,0.00026307083,4.1926248e-7,0.00014505642,0.0000018518036],"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":[0.00007745667,0.000018482273,0.000031004038,0.00018487165,0.000026435178,0.000007878886,0.0003319899,0.98680276,0.0024125022,0.000038058588,0.000060027895,0.0100085335],"study_design_scores_gemma":[0.0010790982,0.00015174762,0.0014245713,0.00011045136,0.000038513033,0.0000023641842,0.00023925932,0.99233586,0.002896555,0.000030753123,0.0015466284,0.00014417483],"about_ca_topic_score_codex":3.8694952e-7,"about_ca_topic_score_gemma":0.000005453664,"teacher_disagreement_score":0.47751802,"about_ca_system_score_codex":0.000051728082,"about_ca_system_score_gemma":0.000030197829,"threshold_uncertainty_score":0.5283361},"labels":[],"label_agreement":null},{"id":"W4390477229","doi":"10.1016/j.wear.2023.205225","title":"Addressing perceptions regarding the influence of relative hardness on wheel/rail performance","year":2024,"lang":"en","type":"article","venue":"Wear","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Simon Fraser University","funders":"","keywords":"Materials science; Perception; Indentation hardness; Forensic engineering; Metallurgy; Engineering; Psychology","score_opus":0.016946745014746294,"score_gpt":0.23687753590845284,"score_spread":0.21993079089370654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390477229","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":[0.99201596,0.00024836068,0.0027235618,0.000054394022,0.00040227608,0.0000562103,0.0000111402005,0.00033963323,0.004148453],"genre_scores_gemma":[0.99882287,0.00012537246,0.00032322417,0.000009028398,0.00006710729,0.000009356675,0.0000024659887,0.000028749111,0.000611842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995122,0.000009521077,0.00012231113,0.00009895194,0.00011997836,0.00013706193],"domain_scores_gemma":[0.9996958,0.000065268,0.0000091852735,0.00018569836,0.000018797165,0.000025296922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116782416,0.00009652685,0.000088913635,0.00007103976,0.00006920067,0.00004117868,0.00010664745,0.000048849415,0.000013169665],"category_scores_gemma":[0.00002748162,0.0000725488,0.00004583049,0.00020227749,0.000041449202,0.00019033407,0.0000151516615,0.00027775578,0.000098227385],"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":[0.0000019821427,0.0000025078966,0.00018742956,0.00015300928,0.000025047499,0.0000018814351,0.0016991259,0.98743916,0.007813634,0.0010345756,0.00028714014,0.0013544974],"study_design_scores_gemma":[0.00006988496,0.000026944352,0.023941683,0.00091511646,0.000019178677,0.000007934197,0.00018507853,0.9695578,0.00071980123,0.00006686044,0.0043458315,0.00014384728],"about_ca_topic_score_codex":0.000002964689,"about_ca_topic_score_gemma":0.0000010159921,"teacher_disagreement_score":0.023754254,"about_ca_system_score_codex":0.00004909383,"about_ca_system_score_gemma":0.000011628361,"threshold_uncertainty_score":0.29584542},"labels":[],"label_agreement":null},{"id":"W4391071897","doi":"10.1016/j.wear.2024.205267","title":"Hand operated tribometer versus twin disc dry friction characteristics measurements","year":2024,"lang":"en","type":"article","venue":"Wear","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Australian Research Council; Australian Government","keywords":"Tribometer; Materials science; Slip (aerodynamics); Friction coefficient; Traction (geology); Tribology; Coefficient of friction; Slip ratio; Mechanics; Composite material; Mechanical engineering; Engineering; Aerospace engineering; Physics","score_opus":0.021568555223552405,"score_gpt":0.2251881798232876,"score_spread":0.20361962459973518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391071897","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":[0.9166691,0.0006942132,0.07035765,0.000039761373,0.008229992,0.00014012656,0.000090671194,0.0013622134,0.0024162792],"genre_scores_gemma":[0.9987374,0.00005465251,0.00038243734,0.0000048094707,0.00022037541,0.000010565523,0.000060254148,0.000049094557,0.00048041082],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942505,0.000007513514,0.00013350327,0.00012490623,0.00013199775,0.00017701506],"domain_scores_gemma":[0.9997765,0.000019229292,0.000004923319,0.00012618929,0.000017496011,0.00005568277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008185634,0.00012529164,0.00010709577,0.00009431783,0.00003862132,0.00015659818,0.00006124319,0.000069203816,0.000050968],"category_scores_gemma":[0.00002010993,0.00012019825,0.000040771665,0.00019955747,0.000010279163,0.000104149796,0.000010236114,0.00015179795,0.00021196167],"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":[0.00018893662,0.00011067412,0.0016013854,0.0011898427,0.0013586918,0.00015614531,0.0030234605,0.28848505,0.62862694,0.00049726816,0.0076902467,0.06707139],"study_design_scores_gemma":[0.0005047093,0.00005756335,0.0027498396,0.00009372405,0.000052141408,0.0000023454747,0.000022467759,0.95819443,0.009397285,0.000009292308,0.028625667,0.00029055346],"about_ca_topic_score_codex":0.000005282267,"about_ca_topic_score_gemma":0.000002644564,"teacher_disagreement_score":0.6697094,"about_ca_system_score_codex":0.00009495441,"about_ca_system_score_gemma":0.000008805796,"threshold_uncertainty_score":0.49015424},"labels":[],"label_agreement":null},{"id":"W4391074655","doi":"10.1016/j.trgeo.2024.101190","title":"An innovative approach to continuously monitor rail track surface displacement during freezing-thawing seasons","year":2024,"lang":"en","type":"article","venue":"Transportation Geotechnics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Infrastructure Canada; National Research Council Canada","keywords":"Inclinometer; Track (disk drive); Displacement (psychology); Remote sensing; Sensitivity (control systems); Measure (data warehouse); Vertical displacement; Data logger; Global Positioning System; Microelectromechanical systems; Environmental science; Acoustics; Geodesy; Marine engineering; Computer science; Engineering; Structural engineering; Geology; Mechanical engineering; Electronic engineering; Telecommunications; Materials science","score_opus":0.006359540595596018,"score_gpt":0.22018875783985786,"score_spread":0.21382921724426185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391074655","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":[0.65060586,0.00019304355,0.3461023,0.000030801897,0.0003038045,0.00028815176,0.00016804981,0.0020283933,0.00027956584],"genre_scores_gemma":[0.9872466,0.000040545467,0.01189357,0.000011366085,0.00008653305,0.000060614646,0.00033387792,0.000120068384,0.00020686067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986454,0.000010423805,0.00032901243,0.0003608162,0.00027347644,0.0003808383],"domain_scores_gemma":[0.9994265,0.000026263198,0.000020595391,0.00029848012,0.00007582218,0.00015238307],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018452476,0.00029346938,0.00022917724,0.00017699701,0.0000787342,0.000113804,0.00016197495,0.00015637654,0.000009468658],"category_scores_gemma":[0.0000062659988,0.0003292142,0.00006762368,0.0009798448,0.000018759083,0.00032012627,0.000003373126,0.0003894073,0.000021686139],"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":[0.00001005309,0.000033009037,0.0001344305,0.0003668093,0.000054143213,0.000018237424,0.0024574036,0.96359944,0.031467024,0.00091388647,0.00010436288,0.00084122474],"study_design_scores_gemma":[0.0003216351,0.000064436914,0.008325061,0.00021036183,0.000049335402,0.0000071639665,0.0005194098,0.9774504,0.009801087,0.000024451889,0.002598544,0.0006281581],"about_ca_topic_score_codex":0.000018300792,"about_ca_topic_score_gemma":0.00001957441,"teacher_disagreement_score":0.3366407,"about_ca_system_score_codex":0.00013508246,"about_ca_system_score_gemma":0.000024192193,"threshold_uncertainty_score":0.999916},"labels":[],"label_agreement":null},{"id":"W4391317936","doi":"10.18280/mmep.110119","title":"A Novel Design for Enhancing Speed and Reducing Vibration in Railway Wheel-Track Profiles","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Automotive engineering; Vibration; Computer science; Engineering; Mechanical engineering; Acoustics; Physics","score_opus":0.024095751581119776,"score_gpt":0.21415631539878152,"score_spread":0.19006056381766173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391317936","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05279118,0.0015567386,0.94418234,0.00003676169,0.00017329177,0.00045082645,0.000007960415,0.0007390707,0.00006184217],"genre_scores_gemma":[0.7237259,0.00016206982,0.27576643,0.0000025657243,0.0000807009,0.000097895274,0.0000076081965,0.000102300786,0.000054535893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998821,0.000004943184,0.0003980661,0.0002985958,0.00010590171,0.00037149808],"domain_scores_gemma":[0.9994211,0.00032721733,0.000012418957,0.0001225947,0.00001646518,0.00010019837],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004816203,0.00026763097,0.00029369557,0.00022349007,0.00003841796,0.0002007507,0.00005985731,0.00014050861,0.0000019744164],"category_scores_gemma":[0.00004849571,0.0002625032,0.000041834322,0.00018287677,0.000017129876,0.00020896124,0.000016707892,0.00025208067,0.0000028858094],"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":[0.0000027299677,0.000011683263,4.6933727e-7,0.0038774353,0.000023990877,0.0000017027903,0.0012038708,0.9500123,0.038157083,0.006035876,0.000007300933,0.0006655212],"study_design_scores_gemma":[0.00019830988,0.00003311826,0.000002315923,0.0016593842,0.000021473477,0.00003279491,0.00002730165,0.9918384,0.002184763,0.003627573,0.00006843828,0.0003061206],"about_ca_topic_score_codex":0.00000387674,"about_ca_topic_score_gemma":9.683349e-7,"teacher_disagreement_score":0.67093474,"about_ca_system_score_codex":0.000049960487,"about_ca_system_score_gemma":0.000011812493,"threshold_uncertainty_score":0.9999827},"labels":[],"label_agreement":null},{"id":"W4391749888","doi":"10.7753/ijsea1302.1010","title":"Influence of Unsupported Sleepers on the Wheel-Rail Interaction","year":2024,"lang":"en","type":"article","venue":"International Journal of Science and Engineering Applications","topic":"Railway Engineering and Dynamics","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":"","funders":"","keywords":"Aeronautics; Computer science; Engineering","score_opus":0.00560040235274478,"score_gpt":0.2320948719245212,"score_spread":0.2264944695717764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391749888","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":[0.96273404,0.00023677316,0.03520259,0.0005473785,0.00063656614,0.00006277115,0.000010751284,0.000079524645,0.0004896112],"genre_scores_gemma":[0.999133,0.00020255809,0.00049134286,0.000018415061,0.00012418792,0.00000961596,7.7418173e-7,0.000009493073,0.000010596142],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925745,0.0000018267717,0.00022222576,0.000073515606,0.00035549514,0.000089518035],"domain_scores_gemma":[0.9994605,0.00011466899,0.00003219887,0.00008795192,0.00025448084,0.0000501753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032724586,0.000071931725,0.00006797089,0.00034782515,0.000031198902,0.00007938333,0.0003228571,0.000021874588,0.0000034504528],"category_scores_gemma":[0.00007679348,0.000053861047,0.00003211179,0.00039620997,0.00011228668,0.00028837105,0.000016585991,0.00018750428,0.000004401873],"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":[0.0000016126194,0.00000647793,0.000018262868,0.000018532372,0.000038927403,0.0000022193244,0.00020030087,0.93852806,0.045749053,0.010681765,0.00013168332,0.0046231323],"study_design_scores_gemma":[0.00008606686,0.000040124556,0.0032841035,0.00028737442,0.000018628642,0.00015522478,0.00016587322,0.9639519,0.008032369,0.00031946792,0.023529958,0.00012893583],"about_ca_topic_score_codex":0.0000023376617,"about_ca_topic_score_gemma":2.410822e-7,"teacher_disagreement_score":0.037716683,"about_ca_system_score_codex":0.00009060996,"about_ca_system_score_gemma":0.000048356556,"threshold_uncertainty_score":0.21963899},"labels":[],"label_agreement":null},{"id":"W4392113017","doi":"10.1007/978-981-99-7852-6_30","title":"Quantifying Rolling Noise Reduction by Improvements to Wheel-Rail Interface Management","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Pacific Railway (Canada); Research Manitoba","funders":"","keywords":"Interface (matter); Reduction (mathematics); Automotive engineering; Noise reduction; Noise (video); Computer science; Engineering; Materials science; Electrical engineering; Artificial intelligence; Mathematics","score_opus":0.008688903581549034,"score_gpt":0.21883370576943303,"score_spread":0.210144802187884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392113017","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007541559,0.003971728,0.9821737,0.00009722203,0.004633227,0.00073171814,0.00008153546,0.0018351073,0.0057216277],"genre_scores_gemma":[0.9281174,0.0017402773,0.0509342,0.0001036696,0.0012340518,0.00027171243,0.00024688276,0.001782598,0.015569202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99730814,0.000004475097,0.00073556055,0.0008065482,0.00042086726,0.0007243904],"domain_scores_gemma":[0.9990551,0.000076336546,0.00004316382,0.00056303677,0.000029883304,0.00023250301],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023925252,0.0009167446,0.0006884869,0.0006746592,0.00003597201,0.00014550136,0.00041507548,0.0007023032,0.000050825936],"category_scores_gemma":[0.00004201659,0.0010364818,0.00021937441,0.00025097153,0.000009870389,0.00009989086,0.00019556694,0.0016785258,0.00016345625],"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":[0.00001078899,0.00000808034,1.0787869e-7,0.0010594659,0.00021251531,0.000042961343,0.00008713415,0.9396806,0.039143685,0.0056252545,0.00013662077,0.013992818],"study_design_scores_gemma":[0.00030291372,0.00007917734,4.6976726e-7,0.0025639522,0.00013085228,0.000021574713,0.0000051967995,0.95171195,0.014387747,0.0025155225,0.026954832,0.0013258085],"about_ca_topic_score_codex":0.0000073937304,"about_ca_topic_score_gemma":0.000011104308,"teacher_disagreement_score":0.9312395,"about_ca_system_score_codex":0.000727528,"about_ca_system_score_gemma":0.00000913889,"threshold_uncertainty_score":0.99920857},"labels":[],"label_agreement":null},{"id":"W4392505644","doi":"10.1061/9780784485354.026","title":"Evaluating the Effectiveness of Asphalt Layer in Improving Railway Track Stiffness through 3D Numerical Simulations","year":2024,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"National Research Council Canada","funders":"","keywords":"Track (disk drive); Stiffness; Asphalt; Layer (electronics); Computer science; Structural engineering; Materials science; Engineering; Mechanical engineering; Composite material","score_opus":0.024412899975062595,"score_gpt":0.3068365327956728,"score_spread":0.2824236328206102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392505644","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":[0.68638855,0.00058839953,0.30987757,0.000013675771,0.0005351646,0.00024047557,0.000012468386,0.0003907947,0.0019528953],"genre_scores_gemma":[0.99674654,0.000005903592,0.003056198,0.000004694502,0.000053374773,0.000028338678,0.000007856707,0.000046512818,0.00005056663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907976,0.000083313476,0.00026706833,0.00017481444,0.00017631506,0.00021871558],"domain_scores_gemma":[0.99827754,0.0014515917,0.000011711568,0.00020439926,0.000030132283,0.000024628445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005946289,0.00015166217,0.00019193119,0.00007058999,0.000032412212,0.000045319928,0.00012193775,0.00007448183,0.00004564374],"category_scores_gemma":[0.0001461452,0.00011169145,0.000061302504,0.00049592694,0.000021659462,0.00017911932,0.000023967925,0.000263707,0.000011017949],"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":[0.000009253197,0.000011795503,0.000106522064,0.00047433103,0.000027095988,0.0000027574702,0.00029977725,0.9592511,0.02319712,0.0016253713,0.0000036542388,0.014991214],"study_design_scores_gemma":[0.00019659428,0.0000272591,0.004748789,0.00015386986,0.00001977023,0.0000032912183,0.000034032135,0.9919337,0.0023161708,0.0003809595,0.00004824132,0.00013732798],"about_ca_topic_score_codex":0.00007653456,"about_ca_topic_score_gemma":0.000011024056,"teacher_disagreement_score":0.31035802,"about_ca_system_score_codex":0.000083002036,"about_ca_system_score_gemma":0.000031243104,"threshold_uncertainty_score":0.4554645},"labels":[],"label_agreement":null},{"id":"W4392911819","doi":"10.1080/00423114.2024.2330440","title":"An investigation of high-frequency vibration of bogie frame due to wheel/rail short-pitch irregularities and its control methodologies","year":2024,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China; China Association for Science and Technology","keywords":"Bogie; Engineering; Vibration; Automotive engineering; Frame (networking); Structural engineering; Vibration control; Vehicle dynamics; Mechanical engineering; Acoustics; Physics","score_opus":0.015002359402492144,"score_gpt":0.23432061861273767,"score_spread":0.21931825921024553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392911819","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":[0.66423553,0.00081326225,0.3334771,0.00005714793,0.0004406521,0.00021873298,0.0001952372,0.0005166864,0.00004560013],"genre_scores_gemma":[0.9851835,0.000027347887,0.014563024,0.000006624957,0.00006101764,0.000035165514,0.00005512352,0.000055523662,0.000012690008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987729,0.00009158378,0.00048712935,0.0002336851,0.00020458046,0.0002100805],"domain_scores_gemma":[0.9992574,0.0002171205,0.000037216556,0.00027888114,0.000110520676,0.00009889601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048230577,0.00020694137,0.00042472302,0.0002533318,0.000031340485,0.000066917564,0.00015433192,0.00020686592,0.0000012426024],"category_scores_gemma":[0.000060956707,0.00021233017,0.000050945826,0.00032775983,0.000041099152,0.00033270815,0.00002058507,0.00015547591,0.0000020899113],"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":[0.000012852858,0.000007279699,0.0010199347,0.0044544647,0.00013477402,0.000013111884,0.0011077005,0.73358923,0.1634786,0.09154348,0.00001107568,0.004627496],"study_design_scores_gemma":[0.00012314385,0.0001059384,0.007021856,0.00039638646,0.00004841726,0.000016981743,0.00053702365,0.98439944,0.0060344315,0.0011120813,0.0000014960846,0.00020277753],"about_ca_topic_score_codex":0.000096467185,"about_ca_topic_score_gemma":0.00006723125,"teacher_disagreement_score":0.32094792,"about_ca_system_score_codex":0.00015491273,"about_ca_system_score_gemma":0.000036189886,"threshold_uncertainty_score":0.8658573},"labels":[],"label_agreement":null},{"id":"W4392988003","doi":"10.3390/app14062593","title":"Linear Axis Guide Rail Misalignment Detection and Localization Using a Novel Signal Segmentation Analysis Technique","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; SIGNAL (programming language); Segmentation; Computer vision; Pattern recognition (psychology)","score_opus":0.011832032641556163,"score_gpt":0.2448653266490838,"score_spread":0.23303329400752765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392988003","genre_codex":"methods","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":[0.068714194,0.00012444626,0.9301106,0.0000040723994,0.000085762644,0.00012067964,0.0000047455537,0.00030401346,0.0005315371],"genre_scores_gemma":[0.95816886,0.000020462692,0.04170764,0.0000081210665,0.000037917136,0.000028143117,0.0000058889364,0.000010715568,0.000012270328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993572,0.000003849258,0.00014911272,0.0001936451,0.00016886063,0.00012729171],"domain_scores_gemma":[0.99985725,0.000027560329,0.000012457492,0.000057644727,0.000010201225,0.000034870056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027829726,0.00009520192,0.00008766671,0.0002806819,0.00010096764,0.00010320297,0.000053412918,0.000047675785,0.000008247831],"category_scores_gemma":[0.0000031408492,0.00009017742,0.000027330318,0.0011026869,0.000052477353,0.000105320236,0.000011998293,0.00005354055,0.0000020489003],"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":[4.552233e-7,0.0000021621481,0.000037502086,0.000024464285,0.000029094848,2.406911e-7,0.00010398353,0.6922663,0.30475768,0.00023232133,0.0000028943844,0.0025428957],"study_design_scores_gemma":[0.00003396454,0.000011484526,0.000048298094,0.000012944952,0.00006849908,0.0000037733175,0.00010595273,0.944021,0.055292614,0.0001051134,0.000191579,0.00010481588],"about_ca_topic_score_codex":0.000035148983,"about_ca_topic_score_gemma":0.000017054645,"teacher_disagreement_score":0.88945466,"about_ca_system_score_codex":0.00007696493,"about_ca_system_score_gemma":0.000013221591,"threshold_uncertainty_score":0.36773282},"labels":[],"label_agreement":null},{"id":"W4396858786","doi":"10.1061/jpcfev.cfeng-4750","title":"Dynamic Monitoring of Rail Behavior under Passenger Train Loading Using Distributed Fiber Optic Sensors","year":2024,"lang":"en","type":"article","venue":"Journal of Performance of Constructed Facilities","topic":"Railway Engineering and Dynamics","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":"National Research Council Canada; York University; Queen's University","funders":"","keywords":"Fiber optic sensor; Structural health monitoring; Optical fiber; Automotive engineering; Engineering; Computer science; Structural engineering; Telecommunications","score_opus":0.011354807816835776,"score_gpt":0.22629424406899018,"score_spread":0.2149394362521544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396858786","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":[0.99368775,0.0012877333,0.0034792703,0.0000051931593,0.0010952196,0.00006310074,0.00022786592,0.00008236309,0.00007149041],"genre_scores_gemma":[0.992063,0.00020377222,0.0075615267,2.092088e-7,0.000057817768,0.0000014667179,0.0000061545693,0.000031932843,0.000074115895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985401,0.000016122322,0.0007806714,0.000093387614,0.0003079704,0.00026174565],"domain_scores_gemma":[0.99937826,0.00010499483,0.00012322525,0.00013748773,0.00017942952,0.00007662316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000195926,0.00021725627,0.00043659887,0.0003736253,0.000034536304,0.000039215363,0.00013614286,0.00012553322,0.00005968157],"category_scores_gemma":[0.0000252359,0.0002057738,0.00017212695,0.00028697777,0.00015219256,0.00041515354,0.000015261023,0.00040636034,0.00000190612],"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":[0.000023061417,0.000012906363,0.0025215193,0.0013815296,0.0002417988,0.000028860908,0.00064861175,0.9304089,0.060494043,0.00012036687,0.000007009517,0.0041113775],"study_design_scores_gemma":[0.00043417775,0.00012016681,0.006471393,0.001516126,0.00019715306,0.000684536,0.0028367445,0.9706552,0.016576659,0.000024221652,0.00015220963,0.00033141882],"about_ca_topic_score_codex":0.0000031774032,"about_ca_topic_score_gemma":2.8689004e-7,"teacher_disagreement_score":0.043917384,"about_ca_system_score_codex":0.00018236972,"about_ca_system_score_gemma":0.00009374576,"threshold_uncertainty_score":0.8391212},"labels":[],"label_agreement":null},{"id":"W4399642387","doi":"10.1061/9780784485521.055","title":"Equivalence and Comprehensive Guidance for Vertical Curves on Railroads","year":2024,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Hatch (Canada)","funders":"","keywords":"Equivalence (formal languages); Computer science; Mathematics; Pure mathematics","score_opus":0.01632736759530096,"score_gpt":0.251248923528245,"score_spread":0.23492155593294406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399642387","genre_codex":"methods","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":[0.19176555,0.041218527,0.7441184,0.0009926349,0.0022291653,0.0004890137,0.00007483533,0.0033994827,0.015712386],"genre_scores_gemma":[0.99481386,0.00088641996,0.0033305085,0.00017271008,0.000090845504,0.000032325934,0.0000070031956,0.00003762776,0.00062867696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995835,0.0000023432865,0.00008573094,0.00012194093,0.000059119837,0.00014739642],"domain_scores_gemma":[0.99968237,0.00016150928,0.0000010897566,0.00009287726,0.000013456498,0.000048701473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000033588294,0.00009538574,0.00008937694,0.000032933243,0.000015074118,0.00003066833,0.00004583858,0.000033984605,0.000010497274],"category_scores_gemma":[0.000020571542,0.00008406822,0.000029031393,0.00005967594,0.00001954449,0.000049135426,0.00000995867,0.00007328646,0.000020585967],"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":[0.000042961823,0.000040332827,0.00013656059,0.015161636,0.0002857187,0.000051084768,0.00036160657,0.5317449,0.03131125,0.24002472,0.11769282,0.063146435],"study_design_scores_gemma":[0.00008236383,0.00004920785,0.00040308613,0.000431147,0.000009010169,0.00000626513,0.000005971882,0.9738918,0.0010018058,0.00026678081,0.023720993,0.00013154984],"about_ca_topic_score_codex":8.366954e-7,"about_ca_topic_score_gemma":5.5627544e-7,"teacher_disagreement_score":0.8030483,"about_ca_system_score_codex":0.000017418475,"about_ca_system_score_gemma":0.0000043120012,"threshold_uncertainty_score":0.34282026},"labels":[],"label_agreement":null},{"id":"W4400285559","doi":"10.1121/10.0026861","title":"Relationships and statistics between various vibration metrics, derived from a large set of measured train pass-bys","year":2024,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Railway Engineering and Dynamics","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":"Arup Group (Canada)","funders":"","keywords":"Statistics; Set (abstract data type); Vibration; Mathematics; Computer science; Acoustics; Physics","score_opus":0.017914981952716486,"score_gpt":0.23207439630705262,"score_spread":0.21415941435433614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400285559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03536799,0.0011051466,0.96231925,0.00046079405,0.00017201749,0.000059453057,0.00047258707,0.000028982555,0.000013799756],"genre_scores_gemma":[0.89796454,0.00047524626,0.10139025,0.000023201483,0.00011209644,3.0042293e-7,0.0000072293656,0.00002073398,0.0000064017686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989939,0.00009566859,0.00040146324,0.00005574292,0.0003181418,0.00013512811],"domain_scores_gemma":[0.9980906,0.0015007898,0.00011713604,0.00014424916,0.000085621126,0.000061553794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005789681,0.00010847099,0.00026636064,0.000032992266,0.00006752261,0.000020634137,0.00018757925,0.0000846804,0.000007697992],"category_scores_gemma":[0.0003932675,0.00006840059,0.00013160221,0.00033386273,0.00013535206,0.00006555872,0.000034963567,0.00054092694,7.0126447e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037439087,0.000047720696,0.0012685116,0.0004329924,0.0017346836,0.0000028345792,0.008854676,0.9160905,0.036822427,0.00014968723,0.012591032,0.021967493],"study_design_scores_gemma":[0.00016375928,0.000058055164,0.010700812,0.00007993104,0.00042945743,0.0000061090273,0.0005904801,0.9853081,0.00027430532,0.0020237782,0.00028756913,0.00007765349],"about_ca_topic_score_codex":0.000020638927,"about_ca_topic_score_gemma":8.967446e-7,"teacher_disagreement_score":0.8625966,"about_ca_system_score_codex":0.00005327568,"about_ca_system_score_gemma":0.000040521885,"threshold_uncertainty_score":0.27892953},"labels":[],"label_agreement":null},{"id":"W4400287321","doi":"10.1121/10.0027714","title":"Tri-axial ground-borne vibration measurements during rail pass-bys","year":2024,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Vibration; Acoustics; Structural engineering; Physics; Geology; Engineering","score_opus":0.011148868383990984,"score_gpt":0.2189042894873112,"score_spread":0.2077554211033202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400287321","genre_codex":"methods","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":[0.10330725,0.0014544198,0.8911494,0.0019291423,0.0016304506,0.00011989021,0.000013239216,0.00013507695,0.00026113167],"genre_scores_gemma":[0.9905944,0.0005279636,0.008256945,0.00007674927,0.00043415566,0.0000011157766,6.156013e-7,0.000035302954,0.00007277018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988019,0.000044265846,0.00038868905,0.00006592857,0.00048631392,0.00021291837],"domain_scores_gemma":[0.99940133,0.00018320097,0.000082956714,0.00019607144,0.00007121569,0.00006521865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042903272,0.000143858,0.0002268869,0.000024140156,0.000095104464,0.000043042524,0.00035505914,0.000068933965,0.000022608843],"category_scores_gemma":[0.00007708103,0.00008359524,0.00034207923,0.0003012594,0.00013124518,0.00013209118,0.000048991304,0.0005015269,0.000005697596],"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":[0.000032579752,0.000027628399,0.000018530645,0.00020837437,0.0003813771,0.0000015159021,0.0006713902,0.8786236,0.10823584,0.000007856538,0.005905858,0.0058854427],"study_design_scores_gemma":[0.00026514966,0.00007218422,0.002677954,0.00017225473,0.0002318795,0.000048986105,0.00026237205,0.99286115,0.002158233,0.00020850837,0.0009150049,0.00012634911],"about_ca_topic_score_codex":0.000008527682,"about_ca_topic_score_gemma":2.2286635e-7,"teacher_disagreement_score":0.88728714,"about_ca_system_score_codex":0.00014790366,"about_ca_system_score_gemma":0.000038486178,"threshold_uncertainty_score":0.34089148},"labels":[],"label_agreement":null},{"id":"W4400575600","doi":"10.1139/tcsme-2024-0056","title":"Dynamic characteristics of electromechanical coupling of body-suspended drive system for high-speed trains under wheel polygonal wear","year":2024,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Polygon (computer graphics); Coupling (piping); Train; Vibration; Torque; Acceleration; Harmonic; Acoustics; Engineering; Automotive engineering; Structural engineering; Physics; Mechanical engineering","score_opus":0.005667676284414135,"score_gpt":0.19220063997153278,"score_spread":0.18653296368711864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400575600","genre_codex":"methods","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":[0.06626391,0.0001845783,0.9295525,0.00009983616,0.0012951744,0.0005536649,0.0018046667,0.00023987865,0.0000057856078],"genre_scores_gemma":[0.9869953,0.00003425628,0.012672856,0.0000050022654,0.000048111266,0.000048487203,0.00004282723,0.0001170927,0.000036094305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985479,0.0000033365548,0.0005697819,0.00021693515,0.00020202743,0.00046002096],"domain_scores_gemma":[0.99916035,0.00022331245,0.000052028685,0.0002882331,0.00008996009,0.00018613633],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026043857,0.00025665134,0.00048144985,0.00013530515,0.00008686301,0.000021438555,0.00031000286,0.00029782782,0.000008498763],"category_scores_gemma":[0.000022644035,0.00025617736,0.0008235139,0.00036827667,0.000037668502,0.00007412458,0.00000576138,0.00035942963,3.8264992e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011165597,0.000014717775,1.7301515e-7,0.0022563103,0.0006527528,3.9881735e-7,0.0001342522,0.6884981,0.2523083,0.05581846,0.000014183518,0.0002911835],"study_design_scores_gemma":[0.00035186383,0.00008437938,0.000023293474,0.00035540177,0.00026995788,0.000009058936,0.00012644364,0.9630376,0.035193145,0.00026589222,0.000060900384,0.00022206707],"about_ca_topic_score_codex":0.00045092785,"about_ca_topic_score_gemma":0.00090304384,"teacher_disagreement_score":0.92073137,"about_ca_system_score_codex":0.000674079,"about_ca_system_score_gemma":0.00023128175,"threshold_uncertainty_score":0.99998903},"labels":[],"label_agreement":null},{"id":"W4400641805","doi":"10.36227/techrxiv.24495202.v2","title":"Subspace Rotation Algorithm for Training Restricted Hopfield Network","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Subspace topology; Training (meteorology); Algorithm; Computer science; Rotation (mathematics); Artificial intelligence; Hopfield network; Artificial neural network; Physics","score_opus":0.015807632146907218,"score_gpt":0.22878739836963688,"score_spread":0.21297976622272966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400641805","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00202721,0.0013416316,0.9806048,0.000102102975,0.0050010695,0.000478186,0.00010012451,0.002745751,0.0075991093],"genre_scores_gemma":[0.12669232,0.000659641,0.8603318,0.00006419295,0.004349772,0.00080306455,0.0011238563,0.00048873393,0.005486618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890286,0.000006900946,0.00027361859,0.00030761526,0.00012532495,0.00038365496],"domain_scores_gemma":[0.9994322,0.00013406937,0.000024685272,0.00028294983,0.000044088385,0.000081973325],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011732402,0.0003126764,0.00029830245,0.000134281,0.00003399303,0.00013281562,0.00015897397,0.00043703054,0.000012580444],"category_scores_gemma":[0.000025920877,0.00033323877,0.0001620552,0.00020428616,0.000008341088,0.000025869094,0.000096833144,0.00074140634,0.00001672081],"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":[0.0000012254433,0.000002020656,0.0000011385114,0.00031003993,0.000099755285,0.0000043603623,0.00023370227,0.89167905,0.000019468665,0.00083096663,0.011067627,0.095750675],"study_design_scores_gemma":[0.00010977948,0.000016827373,0.000024075895,0.00021357051,0.0000595772,0.0000033170231,0.00006737116,0.9884821,0.00003454033,0.007226044,0.003392103,0.0003707047],"about_ca_topic_score_codex":0.000015780854,"about_ca_topic_score_gemma":0.000018995777,"teacher_disagreement_score":0.12466512,"about_ca_system_score_codex":0.00009091193,"about_ca_system_score_gemma":0.000049001956,"threshold_uncertainty_score":0.99991196},"labels":[],"label_agreement":null},{"id":"W4400733413","doi":"10.1061/jggefk.gteng-12424","title":"Dynamic Performance of a Railway Subgrade Reinforced by Battered Grouted Helical Piles","year":2024,"lang":"en","type":"article","venue":"Journal of Geotechnical and Geoenvironmental Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Subgrade; Geotechnical engineering; Engineering; Pile; Geology; Structural engineering; Forensic engineering","score_opus":0.0021769002344442473,"score_gpt":0.16293948827581534,"score_spread":0.16076258804137109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400733413","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":[0.98140043,0.0033673518,0.014613404,0.000059498223,0.0002868014,0.0000693506,0.00003774129,0.00014439173,0.000021009422],"genre_scores_gemma":[0.9974011,0.0018380478,0.0005662988,0.0000074176755,0.00004441232,0.000003694464,0.000013540441,0.00004998845,0.000075481694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987886,0.000005505111,0.00056385744,0.00013231992,0.00024358585,0.00026611504],"domain_scores_gemma":[0.9995973,0.000069392736,0.000045249097,0.000130189,0.0000067969895,0.00015104847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016696217,0.00023417642,0.0003427682,0.00017298841,0.000020613305,0.000030824038,0.00015613525,0.00014849071,0.000026982303],"category_scores_gemma":[0.000014224644,0.00021064155,0.00013357164,0.0001519309,0.000059527174,0.00022713537,0.00004732258,0.00052058167,0.0000058738347],"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":[0.00001830822,0.000014469426,0.000013163723,0.00040043308,0.00009494981,0.000024211797,0.000037105074,0.9182456,0.077600904,0.000037483187,0.00020744182,0.0033058866],"study_design_scores_gemma":[0.00027722013,0.00021937153,0.0018422075,0.00030065127,0.000040044946,0.00031426843,0.000012259112,0.9903733,0.0039213784,0.000005377164,0.0024731394,0.00022079004],"about_ca_topic_score_codex":0.0000017254041,"about_ca_topic_score_gemma":1.104323e-7,"teacher_disagreement_score":0.07367953,"about_ca_system_score_codex":0.000100794496,"about_ca_system_score_gemma":0.000006031542,"threshold_uncertainty_score":0.8589713},"labels":[],"label_agreement":null},{"id":"W4401069098","doi":"10.1139/tcsme-2024-0087","title":"Numerical and experimental study on adaptive stiffness yaw damper for suppressing abnormal vibration of high-speed trains","year":2024,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Damper; Vibration; Train; Stiffness; Structural engineering; Tuned mass damper; High speed train; Control theory (sociology); Engineering; Computer science; Acoustics; Physics","score_opus":0.012264700604353999,"score_gpt":0.22031430051628192,"score_spread":0.20804959991192792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401069098","genre_codex":"methods","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":[0.20640568,0.00013104458,0.7914872,0.000063777654,0.0007456586,0.00062604184,0.00038964293,0.00014328821,0.0000076235256],"genre_scores_gemma":[0.9938373,0.0000024960764,0.005945936,0.00000780565,0.000048759215,0.00007507242,0.000009181216,0.000061461644,0.000012010786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923456,0.0000051912502,0.00023168238,0.00016746967,0.00012101516,0.000240087],"domain_scores_gemma":[0.9995429,0.00014082143,0.000014330823,0.00015072298,0.00002688275,0.00012437544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011279565,0.00017205121,0.00021858509,0.00007065596,0.000106362546,0.00003023285,0.00011915746,0.00011633311,0.000004876158],"category_scores_gemma":[0.000010246057,0.00016023353,0.00027706745,0.00018074962,0.00002392227,0.000111095505,0.0000029629716,0.00019161114,1.3408655e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014492385,0.000037414196,2.687893e-7,0.00018872671,0.00022111803,2.7982063e-7,0.001287211,0.9727014,0.022420125,0.0024654637,0.000020875237,0.0006426791],"study_design_scores_gemma":[0.00043888847,0.00020704677,0.00006162873,0.000087417706,0.00008436852,0.0000030283122,0.00046700137,0.96821386,0.030149652,0.00004318997,0.00008288081,0.00016106525],"about_ca_topic_score_codex":0.0005548637,"about_ca_topic_score_gemma":0.0003724769,"teacher_disagreement_score":0.7874316,"about_ca_system_score_codex":0.00020575986,"about_ca_system_score_gemma":0.000056895307,"threshold_uncertainty_score":0.65341336},"labels":[],"label_agreement":null},{"id":"W4401140810","doi":"10.18280/mmep.110721","title":"Solutions of Linear Vibration Mechanical Models Using Zhou Transform Method","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vibration; Acoustics; Computer science; Structural engineering; Mathematics; Physics; Engineering","score_opus":0.04224585458862029,"score_gpt":0.2403257253447005,"score_spread":0.19807987075608022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401140810","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050258865,0.0012707089,0.9921576,0.000026569924,0.00018333687,0.00016205409,0.000018459144,0.0009090262,0.00024637612],"genre_scores_gemma":[0.5827949,0.00014964413,0.41688323,0.0000014619993,0.000050454295,0.00001808767,0.00000625606,0.00007824179,0.000017723181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988441,0.0000074450973,0.00043723593,0.0002065048,0.0001719133,0.00033279756],"domain_scores_gemma":[0.9995538,0.00013423829,0.000011906635,0.00016098756,0.000025423147,0.00011362128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036776255,0.00023626754,0.00031576696,0.00017932348,0.000046491597,0.000053178403,0.00008361284,0.00016492214,0.0000055764413],"category_scores_gemma":[0.000009385038,0.00022607799,0.00010050218,0.00023862728,0.000016812852,0.00022458697,0.00001823412,0.0002880004,0.0000029268333],"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":[9.911073e-7,0.000011851068,2.0938556e-8,0.0019711014,0.000053755735,0.0000013171516,0.0004386922,0.90453243,0.0060467604,0.086242884,0.0000025138977,0.00069767726],"study_design_scores_gemma":[0.000078893856,0.00002104997,4.2612534e-8,0.0005961909,0.000061290564,0.000033848653,0.000012774715,0.9553257,0.0010449587,0.042546015,0.000049764014,0.00022946135],"about_ca_topic_score_codex":0.000005557875,"about_ca_topic_score_gemma":2.621967e-7,"teacher_disagreement_score":0.57776904,"about_ca_system_score_codex":0.000043362597,"about_ca_system_score_gemma":0.000013032514,"threshold_uncertainty_score":0.9219193},"labels":[],"label_agreement":null},{"id":"W4402489958","doi":"10.1080/15397734.2024.2400206","title":"Study on instrumental coupler for heavy haul train","year":2024,"lang":"en","type":"article","venue":"Mechanics Based Design of Structures and Machines","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China","keywords":"Acoustics; Instrumental variable; Physics; Structural engineering; Engineering; Environmental science; Mathematics; Statistics","score_opus":0.014448100980450091,"score_gpt":0.23422771050285454,"score_spread":0.21977960952240444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402489958","genre_codex":"methods","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":[0.1865463,0.0005340826,0.8110499,0.000027139393,0.0007681843,0.00054574705,0.00020348842,0.00029898976,0.000026190073],"genre_scores_gemma":[0.9923664,0.000017032255,0.007419235,0.000023259608,0.000056016685,0.00003442864,0.000019913092,0.00005154506,0.000012211117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936295,0.000011516604,0.00017120539,0.00017850587,0.00011955642,0.00015628719],"domain_scores_gemma":[0.99968916,0.00010938932,0.000012229351,0.00012625221,0.0000132451105,0.000049721104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014123936,0.00019592597,0.00019301202,0.00013019948,0.00003955741,0.000046338348,0.00007852489,0.00006447482,0.000008139826],"category_scores_gemma":[0.000009827759,0.00016165302,0.000052481853,0.00009117657,0.000008176397,0.000039660565,0.000008708537,0.000109311084,3.684878e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011546768,0.000045583274,0.000018176968,0.0004931765,0.00015505678,0.000013832849,0.00036128005,0.9296596,0.017287029,0.026213218,0.00040991936,0.025227671],"study_design_scores_gemma":[0.00048069865,0.0005109383,0.00010312911,0.000037808873,0.000037739257,0.0000059234458,0.000069286354,0.9894538,0.002599548,0.0063885404,0.00014158702,0.00017102248],"about_ca_topic_score_codex":0.00000586189,"about_ca_topic_score_gemma":0.0000034815068,"teacher_disagreement_score":0.80582005,"about_ca_system_score_codex":0.000021485635,"about_ca_system_score_gemma":0.0000152248795,"threshold_uncertainty_score":0.65920186},"labels":[],"label_agreement":null},{"id":"W4402567336","doi":"10.1080/00423114.2024.2403514","title":"Quantifying the impact of rail longitudinal level changes on dynamic load magnitudes through instrumented wheelset measurements","year":2024,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Engineering; Structural engineering; Dynamic load testing","score_opus":0.0673588498087405,"score_gpt":0.29056170192123165,"score_spread":0.22320285211249113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402567336","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":[0.9522482,0.004299796,0.035539918,0.0001340742,0.0018149292,0.00067194604,0.0011158668,0.001661654,0.0025135884],"genre_scores_gemma":[0.9991238,0.00013044044,0.0003215475,0.000005438149,0.00005658728,0.000058728725,0.000068582805,0.00012917609,0.00010566796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979862,0.0000594956,0.00046295923,0.00036004625,0.00061752426,0.0005138022],"domain_scores_gemma":[0.9990529,0.00012292544,0.00006920822,0.0005578832,0.0001168387,0.00008025086],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004986629,0.0004751303,0.00052472146,0.00017515189,0.00011484114,0.00015575276,0.00038707588,0.0001697211,0.000010720506],"category_scores_gemma":[0.000025891697,0.0003307752,0.00035143786,0.0005839367,0.000054414424,0.00015526383,0.000056252633,0.00039146433,0.000042883657],"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":[0.00005066597,0.00007348537,0.0035238615,0.0031323752,0.004077714,0.000047281592,0.0009724642,0.96891016,0.004360355,0.0028413604,0.00020566679,0.011804589],"study_design_scores_gemma":[0.00029384278,0.00015667816,0.00597426,0.0007647234,0.00024491193,0.000047738584,0.00026081118,0.9916282,0.00021209844,0.0000226804,0.00005636116,0.0003376801],"about_ca_topic_score_codex":0.00041050147,"about_ca_topic_score_gemma":0.0010921312,"teacher_disagreement_score":0.046875603,"about_ca_system_score_codex":0.0016485556,"about_ca_system_score_gemma":0.00008456876,"threshold_uncertainty_score":0.9999144},"labels":[],"label_agreement":null},{"id":"W4402956463","doi":"10.18280/mmep.110904","title":"Influence of Rail-End Bolt Hole Position and Clearance on Stress and Displacement of Rail Using Finite Element Analysis","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"King Mongkut's Institute of Technology Ladkrabang","keywords":"Finite element method; Displacement (psychology); Structural engineering; Stress (linguistics); Position (finance); Engineering; Materials science; Mechanics; Physics; Business","score_opus":0.01004792620245334,"score_gpt":0.2077902638724466,"score_spread":0.19774233766999325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402956463","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":[0.5070613,0.00082798704,0.4919033,0.0000063927573,0.000015915972,0.00007006749,0.000022557972,0.000071132956,0.000021332062],"genre_scores_gemma":[0.98738676,0.00042652778,0.012112609,0.0000016580327,0.00001183768,0.000010604071,0.000006832295,0.00003362313,0.000009533172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990689,0.0000062579898,0.0003612696,0.0002010285,0.00016559368,0.00019695981],"domain_scores_gemma":[0.9995951,0.00013726084,0.000026133257,0.0001406107,0.000021613872,0.000079246754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016779837,0.00019759551,0.00033369666,0.00023372137,0.000024829833,0.00004802652,0.000046710167,0.0000717783,0.0000025050556],"category_scores_gemma":[0.000011718767,0.00018700349,0.000047619476,0.00024839246,0.000038367216,0.0000913275,0.000025482974,0.0001524839,3.9663757e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004853734,0.000017670203,0.000032234755,0.0041449526,0.00019929458,0.0000015264484,0.000507462,0.98914003,0.0022656808,0.003462888,4.1279318e-7,0.00022298767],"study_design_scores_gemma":[0.0001241136,0.000053075702,0.000116922405,0.0015227322,0.00018711864,0.0000029073306,0.000014976449,0.99618083,0.0010131241,0.0005994222,0.000007042527,0.00017770914],"about_ca_topic_score_codex":0.000008860905,"about_ca_topic_score_gemma":3.7483227e-7,"teacher_disagreement_score":0.48032546,"about_ca_system_score_codex":0.00002335484,"about_ca_system_score_gemma":0.000004167437,"threshold_uncertainty_score":0.7625781},"labels":[],"label_agreement":null},{"id":"W4403159190","doi":"10.1016/j.ress.2024.110555","title":"Reliability analysis for running safety of vehicle on slab track via an improved second-order fourth-moment approach","year":2024,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for Central Universities of the Central South University; National Natural Science Foundation of China","keywords":"Track (disk drive); Slab; Reliability (semiconductor); Moment (physics); Reliability engineering; Engineering; Computer science; Structural engineering; Mechanical engineering; Physics; Classical mechanics; Power (physics)","score_opus":0.005764351426060159,"score_gpt":0.20264275329782247,"score_spread":0.1968784018717623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403159190","genre_codex":"methods","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":[0.14344819,0.00036545293,0.85011333,0.000023017767,0.0012174769,0.0011913482,0.0005174632,0.0024325072,0.00069119275],"genre_scores_gemma":[0.9566355,0.000023656885,0.04234074,0.000004460912,0.0001811803,0.00022681453,0.00025292506,0.0002028763,0.00013185156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960401,0.00006450572,0.0015653657,0.0010530798,0.00045653182,0.00082039635],"domain_scores_gemma":[0.9972522,0.0005141633,0.00009462574,0.0015743364,0.00024128976,0.00032333776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022349192,0.00072009675,0.0012374243,0.0005222997,0.00011323135,0.00009606004,0.00043986453,0.00043425936,0.000022702265],"category_scores_gemma":[0.00012306258,0.0007129313,0.00070462964,0.001673631,0.00005074866,0.00033966993,0.000043159962,0.000655479,0.000009282589],"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":[0.00010791405,0.000097510296,0.00014671106,0.007670395,0.00067834597,0.0000025144159,0.00048775968,0.98279953,0.0050766678,0.0016513654,0.000015662758,0.0012656254],"study_design_scores_gemma":[0.0005436038,0.0001956803,0.0034637372,0.0002669119,0.00039526058,0.000007971625,0.00010460618,0.9904987,0.0009526922,0.000021099395,0.0028619408,0.00068778347],"about_ca_topic_score_codex":0.000040305928,"about_ca_topic_score_gemma":0.0000067153683,"teacher_disagreement_score":0.8131873,"about_ca_system_score_codex":0.0012704721,"about_ca_system_score_gemma":0.000071973634,"threshold_uncertainty_score":0.99953216},"labels":[],"label_agreement":null},{"id":"W4403249639","doi":"10.1155/2024/2650006","title":"Performance Evaluation of Nigeria Railway Track Ballast Under Simulated Operational Conditions","year":2024,"lang":"en","type":"article","venue":"Advances in Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"University of Botswana; Tertiary Education Trust Fund; National Research Foundation","keywords":"Ballast; Track (disk drive); Computer science; Forensic engineering; Transport engineering; Environmental science; Civil engineering; Engineering; Electrical engineering","score_opus":0.008691223174262146,"score_gpt":0.25316762997756276,"score_spread":0.2444764068033006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403249639","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":[0.9270214,0.009384327,0.05626173,0.000016546945,0.0019616066,0.0002640556,0.00006133369,0.0007872563,0.0042417455],"genre_scores_gemma":[0.99834645,0.00069061934,0.00067694555,0.000003561887,0.00008757626,0.000035372836,0.000075699434,0.000057123707,0.000026635042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988958,0.000010880038,0.0003477161,0.00018787166,0.00031577903,0.00024195811],"domain_scores_gemma":[0.9995821,0.00012703598,0.000013350509,0.00016119708,0.00006946279,0.00004686902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003147307,0.00019624883,0.00018826661,0.00028742332,0.000022013113,0.000029981042,0.00010911769,0.000085512846,0.000116510666],"category_scores_gemma":[0.000043050164,0.00021819274,0.000050014038,0.00050760305,0.000020889856,0.000645332,0.000011991567,0.00022029266,0.000016469141],"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":[0.0000014809739,0.000009155571,0.00024217865,0.00027906353,0.000027465383,0.0000017270306,0.00012427376,0.9911975,0.005169398,0.0008757915,0.000020352607,0.0020515784],"study_design_scores_gemma":[0.00025849254,0.000016453343,0.0032957233,0.00033903177,0.000016960023,0.000007133973,0.000020514577,0.9933632,0.001056113,0.00009716428,0.0013011101,0.00022811198],"about_ca_topic_score_codex":0.0000012153986,"about_ca_topic_score_gemma":0.000040445288,"teacher_disagreement_score":0.07132506,"about_ca_system_score_codex":0.00019433971,"about_ca_system_score_gemma":0.000040201736,"threshold_uncertainty_score":0.88976413},"labels":[],"label_agreement":null},{"id":"W4403261303","doi":"10.1016/j.wear.2024.205589","title":"Effects of rail hardness on transverse profile evolution and computed contact conditions in a full-scale wheel-rail test rig evaluation","year":2024,"lang":"en","type":"article","venue":"Wear","topic":"Railway Engineering and Dynamics","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":"Simon Fraser University","funders":"","keywords":"Materials science; Full scale; Transverse plane; Scale (ratio); Structural engineering; Automotive engineering; Forensic engineering; Engineering","score_opus":0.00447156938835236,"score_gpt":0.2085008512491128,"score_spread":0.20402928186076044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403261303","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":[0.9857863,0.00057651254,0.011747758,0.00003104817,0.0005605058,0.00044240622,0.00010156495,0.00029873225,0.00045513603],"genre_scores_gemma":[0.999485,0.000022184042,0.00026134762,0.000002742408,0.000037044843,0.000054677843,0.00006101932,0.000024712162,0.000051257295],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940115,0.000024775502,0.00015034889,0.00014164155,0.00014864001,0.00013343686],"domain_scores_gemma":[0.9996733,0.00015777114,0.0000103041875,0.00009198029,0.000025098228,0.000041564486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014878392,0.00011504234,0.00014709705,0.00017310696,0.000020629053,0.000021482598,0.00003897239,0.00008025684,0.000021687303],"category_scores_gemma":[0.000033642147,0.000120770594,0.000034956473,0.00022678255,0.000019452156,0.000091664086,0.000004653268,0.00014960633,0.000025835016],"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":[0.000029562225,0.00015034426,0.00051971636,0.0024574066,0.00008003132,0.000022557135,0.0017818192,0.4063392,0.58291453,0.00173452,0.0013196013,0.0026507373],"study_design_scores_gemma":[0.00069769885,0.0001113312,0.040643245,0.0004992805,0.000040029747,0.000004906747,0.00003467994,0.9541833,0.0034077158,0.00008175024,0.00017153556,0.00012452464],"about_ca_topic_score_codex":0.0000236011,"about_ca_topic_score_gemma":0.000047431946,"teacher_disagreement_score":0.5795068,"about_ca_system_score_codex":0.0001272837,"about_ca_system_score_gemma":0.000026401083,"threshold_uncertainty_score":0.4924882},"labels":[],"label_agreement":null},{"id":"W4403390142","doi":"10.1109/ojim.2024.3477571","title":"Ultrasonic Testing of Railroad Rails: Cold Temperature Effects and Considerations","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of Instrumentation and Measurement","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"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":"Ultrasonic sensor; Ultrasonic testing; Materials science; Environmental science; Forensic engineering; Automotive engineering; Acoustics; Engineering; Physics","score_opus":0.026526338338462536,"score_gpt":0.2461609417138668,"score_spread":0.21963460337540425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403390142","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":[0.9930951,0.0030013719,0.0021064081,0.0001057837,0.00091718585,0.00023318609,0.0000075199696,0.000029575882,0.000503877],"genre_scores_gemma":[0.994358,0.0002764117,0.0052627246,0.000025241963,0.000044660257,0.000005127187,6.81186e-7,0.000013835233,0.0000132887],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999315,0.000022949796,0.00029970164,0.000071352486,0.00020653207,0.00008441149],"domain_scores_gemma":[0.9996066,0.00009255249,0.000050807786,0.00004837644,0.00012826842,0.000073405616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045626183,0.00009830004,0.00016846537,0.00010164205,0.00004437468,0.00020229153,0.000047707184,0.000036196994,0.000005154725],"category_scores_gemma":[0.00009091628,0.00008600492,0.000023648076,0.00010445224,0.000020893702,0.0002887896,0.0000070649467,0.00014525441,5.170318e-7],"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":[0.000010839242,0.000023045572,0.0005411954,0.0007306348,0.00024812313,0.000023336543,0.0008774843,0.02172194,0.9546476,0.0008401922,0.0010678048,0.019267833],"study_design_scores_gemma":[0.006070102,0.0012434201,0.013683982,0.007826636,0.00051503803,0.001442416,0.0014000239,0.08516738,0.8780438,0.001058992,0.0027005435,0.0008477308],"about_ca_topic_score_codex":0.0000045660663,"about_ca_topic_score_gemma":0.0000065460667,"teacher_disagreement_score":0.07660383,"about_ca_system_score_codex":0.00006317705,"about_ca_system_score_gemma":0.00007125806,"threshold_uncertainty_score":0.35071787},"labels":[],"label_agreement":null},{"id":"W4403870700","doi":"10.1016/j.enganabound.2024.106006","title":"Discussion on “2.5D prediction of soil vibrations due to railway loads by the isogeometric analysis with scaled boundary” by Yang Y.B. and Li. J","year":2024,"lang":"en","type":"article","venue":"Engineering Analysis with Boundary Elements","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Vibration; Isogeometric analysis; Boundary (topology); Structural engineering; Geology; Physics; Mathematics; Mathematical analysis; Acoustics; Engineering; Finite element method","score_opus":0.0031281519051649252,"score_gpt":0.18467039267761187,"score_spread":0.18154224077244693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403870700","genre_codex":"methods","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":[0.398579,0.0014305211,0.59827375,0.00015588969,0.00014329689,0.00023292977,0.0006112365,0.00047033807,0.00010302926],"genre_scores_gemma":[0.9968052,0.000100289726,0.0014767408,0.000018757928,0.00005858589,0.000094249284,0.0007145554,0.00009542714,0.0006361941],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977744,0.000029992834,0.00055049657,0.00052212557,0.000663068,0.00045988985],"domain_scores_gemma":[0.99898434,0.0001189784,0.000060138216,0.0005528819,0.00006350294,0.00022014952],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036840572,0.0004624462,0.0006183214,0.0020175,0.00022873847,0.00043357196,0.00022926556,0.00010450028,0.000040321385],"category_scores_gemma":[0.00002786688,0.00028604397,0.00024287176,0.008788147,0.000066286404,0.00028454838,0.000040784864,0.00037375902,0.000006552606],"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":[0.000024688408,0.000044911354,0.0039648702,0.00012559927,0.008661557,0.000008412513,0.00032399708,0.9811909,0.0015655409,0.000023824927,0.0014154383,0.0026502241],"study_design_scores_gemma":[0.00034136852,0.00027633688,0.0077930023,0.00013187862,0.004179997,0.0000068404365,0.00008429626,0.9787216,0.0007704305,0.000003259377,0.0072955005,0.0003954455],"about_ca_topic_score_codex":0.0000636427,"about_ca_topic_score_gemma":0.00010477333,"teacher_disagreement_score":0.5982262,"about_ca_system_score_codex":0.00019645851,"about_ca_system_score_gemma":0.00003914896,"threshold_uncertainty_score":0.9999592},"labels":[],"label_agreement":null},{"id":"W4403933591","doi":"10.1007/978-3-031-66971-2_73","title":"A Comparison of Dynamics Modelling Techniques for Friction Damped Y-Series Freight Suspension","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Suspension (topology); Series (stratigraphy); Dynamics (music); Computer science; Physics; Mathematics; Geology; Acoustics; Pure mathematics","score_opus":0.013638354591940644,"score_gpt":0.23248906626606422,"score_spread":0.21885071167412357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403933591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019606543,0.0021648125,0.9922323,0.000025160269,0.0012485245,0.00053577556,0.00013524128,0.0013247535,0.002137327],"genre_scores_gemma":[0.7902949,0.0007786085,0.20531052,0.000008904654,0.00067410694,0.00013951032,0.00053715764,0.0008735183,0.001382773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800634,0.0000036180654,0.0008428521,0.00045360948,0.00027031623,0.00042324452],"domain_scores_gemma":[0.99904424,0.00030805272,0.00007951618,0.00040582297,0.00007444932,0.00008792668],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001845271,0.0006758385,0.0010028881,0.000564273,0.000028684522,0.000042077743,0.00024911054,0.0011069739,0.000012982137],"category_scores_gemma":[0.00007370026,0.0007248113,0.0002966828,0.0001529238,0.000019253834,0.00009223481,0.00006681132,0.0012576662,0.0000040434174],"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":[0.000017178374,0.000008243768,4.4058106e-7,0.0012874585,0.000082937026,0.00000683915,0.00006558768,0.88342613,0.00347959,0.10875549,0.000009851656,0.002860262],"study_design_scores_gemma":[0.00011616831,0.00011324707,1.1951472e-7,0.0013145735,0.00010124096,0.000010894032,0.0000026144517,0.94762695,0.016738383,0.030581208,0.0027697552,0.0006248461],"about_ca_topic_score_codex":0.000005940342,"about_ca_topic_score_gemma":0.000049278344,"teacher_disagreement_score":0.79009885,"about_ca_system_score_codex":0.00043389917,"about_ca_system_score_gemma":0.000019407029,"threshold_uncertainty_score":0.9995203},"labels":[],"label_agreement":null},{"id":"W4403933631","doi":"10.1007/978-3-031-66971-2_68","title":"Role of Profile Quality Indices in Rail Profile Optimization","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; National Research Council Canada; Canadian Pacific Railway (Canada)","funders":"","keywords":"Quality (philosophy); Computer science; Environmental science; Physics","score_opus":0.0063565007960469395,"score_gpt":0.21022117505160995,"score_spread":0.203864674255563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403933631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026000678,0.01141117,0.9329536,0.000050495466,0.002109521,0.0014761448,0.00042841776,0.0021099534,0.046860654],"genre_scores_gemma":[0.90152717,0.0008253698,0.09296775,0.000021563175,0.0005937534,0.00021289744,0.0005653944,0.000911725,0.0023743636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979357,0.000009225768,0.0008563998,0.00044518628,0.0003295257,0.00042395986],"domain_scores_gemma":[0.9991684,0.00024913924,0.000074248856,0.00038542965,0.00003433682,0.00008844424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031537053,0.0005707626,0.0007926055,0.00065929926,0.000010358705,0.000032639957,0.00028426968,0.000940897,0.00015665796],"category_scores_gemma":[0.00018198809,0.0006157991,0.00016740564,0.00027019627,0.000018081435,0.00008535833,0.00008308019,0.0014734262,0.000022595303],"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":[0.000008084501,0.000010241591,0.0000028088518,0.0012092681,0.000053622407,0.000014215298,0.00012092341,0.9737826,0.0049942117,0.015826704,0.0000027413678,0.0039746077],"study_design_scores_gemma":[0.00021181114,0.000035313453,0.000010922778,0.0011704521,0.00002783199,0.000005523073,0.0000030966648,0.98765403,0.004930868,0.0048457715,0.0005142524,0.00059009896],"about_ca_topic_score_codex":0.000018224366,"about_ca_topic_score_gemma":0.000049676164,"teacher_disagreement_score":0.8989271,"about_ca_system_score_codex":0.00028351575,"about_ca_system_score_gemma":0.000033884997,"threshold_uncertainty_score":0.9996293},"labels":[],"label_agreement":null},{"id":"W4404437442","doi":"10.1007/s13349-024-00882-x","title":"Quantifying the impact of subgrade stiffness on the railway dynamic load factor using instrumented wheelset and MRail measurements","year":2024,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subgrade; Structural engineering; Stiffness; Load factor; Dynamic load testing; Structural dynamics; Engineering; Dynamic factor; Geotechnical engineering; Mathematics; Finite element method","score_opus":0.062383551413601766,"score_gpt":0.33711029527504816,"score_spread":0.2747267438614464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404437442","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":[0.98729503,0.009330211,0.0005496532,0.00014867922,0.0024105597,0.0001581383,0.00003723173,0.000058987214,0.000011527621],"genre_scores_gemma":[0.99902487,0.0004896409,0.00017374892,0.0000046356768,0.00025219185,0.0000018400065,8.4396714e-7,0.00004894482,0.0000033079764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981444,0.00007882166,0.00066300697,0.00013088578,0.0005948318,0.00038804856],"domain_scores_gemma":[0.99911577,0.00023193084,0.00020861857,0.00019441383,0.0001024277,0.00014683897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058519916,0.00029233668,0.00045119727,0.00017174505,0.00018976214,0.00014008422,0.00024476927,0.00007106887,0.000009611931],"category_scores_gemma":[0.00005860677,0.00015172672,0.0002453157,0.00028423656,0.000048365735,0.00025094737,0.000028961871,0.0007109453,4.0073994e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010869121,0.000014808403,0.012766873,0.0014247531,0.0025153237,0.000017319308,0.0042282045,0.8982605,0.038503096,0.00005183859,0.00007362747,0.042035013],"study_design_scores_gemma":[0.0006489657,0.00033305405,0.27342647,0.0023299735,0.00022097686,0.00033381974,0.0005447451,0.7203266,0.0011599523,0.00018241495,0.00008149516,0.0004115163],"about_ca_topic_score_codex":0.00016494658,"about_ca_topic_score_gemma":0.000042117183,"teacher_disagreement_score":0.2606596,"about_ca_system_score_codex":0.00088294037,"about_ca_system_score_gemma":0.00018714141,"threshold_uncertainty_score":0.61872363},"labels":[],"label_agreement":null},{"id":"W4404966238","doi":"10.1680/jbren.24.00042","title":"Curvature limits for composite steel box girder bridges","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Bridge Engineering","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"Toronto Metropolitan University; Georgian College","funders":"","keywords":"Curvature; Structural engineering; Deflection (physics); Box girder; Girder; Engineering; Deck; Finite element method; Bending moment; Bridge (graph theory); Geometry; Mathematics; Physics","score_opus":0.00832116583749632,"score_gpt":0.20292450191632533,"score_spread":0.19460333607882901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404966238","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":[0.5912817,0.009583722,0.38303617,0.00029478155,0.007589364,0.001246217,0.0004820946,0.0028143409,0.0036715695],"genre_scores_gemma":[0.9961318,0.000183672,0.0030228721,0.000008557255,0.0002999645,0.00006357904,0.000016410795,0.00012491482,0.00014826833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983553,0.0000016742038,0.0005576324,0.00028802233,0.0003523308,0.0004449971],"domain_scores_gemma":[0.9993252,0.0001031133,0.000064096705,0.00019615897,0.00020209943,0.00010930203],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002573651,0.00042259975,0.00044817824,0.0003856979,0.00005781463,0.00007808461,0.00047237985,0.0002187829,0.000003430114],"category_scores_gemma":[0.00015447439,0.0003874042,0.00033572252,0.0007223249,0.00007528619,0.00045862483,0.000050585346,0.00044376284,0.0000027843555],"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":[0.000009273463,0.000016785962,0.000082887265,0.0034732677,0.00020065533,8.2441613e-7,0.0002479064,0.87802887,0.098340765,0.016995013,0.0022232844,0.00038048188],"study_design_scores_gemma":[0.00032539945,0.00003854806,0.002449589,0.0012992239,0.0001286587,0.000037936377,0.000021409971,0.89730936,0.08687186,0.00005626434,0.011024777,0.0004369781],"about_ca_topic_score_codex":0.000005933015,"about_ca_topic_score_gemma":0.0000025410325,"teacher_disagreement_score":0.40485004,"about_ca_system_score_codex":0.0001656795,"about_ca_system_score_gemma":0.000041734973,"threshold_uncertainty_score":0.9998578},"labels":[],"label_agreement":null},{"id":"W4405175561","doi":"10.1016/j.coldregions.2024.104395","title":"Safety assessment of the Qinghai–Tibet railway: Monitoring, analysis, and prediction","year":2024,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Railway Engineering and Dynamics","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":"Dalhousie University","funders":"","keywords":"Environmental science; Civil engineering; Forensic engineering; Mining engineering; Geology; Engineering","score_opus":0.005116440084495414,"score_gpt":0.22844175141126674,"score_spread":0.22332531132677133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405175561","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":[0.9124788,0.002834384,0.07965213,0.0011444937,0.0010831172,0.00019271602,0.000025309671,0.00094797596,0.0016410516],"genre_scores_gemma":[0.998299,0.00065690774,0.00092041877,0.0000017272383,0.00001674234,0.0000094201505,4.525278e-7,0.00000583189,0.00008951353],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994384,0.0000033932533,0.00011276909,0.00016705522,0.00013509221,0.00014326624],"domain_scores_gemma":[0.9996598,0.000022891456,0.000012055688,0.00023131579,0.000043516844,0.00003043848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020863581,0.00007064899,0.000105138235,0.00071814214,0.00012832742,0.000036465444,0.00015882068,0.00007771285,6.3055364e-7],"category_scores_gemma":[0.000026524118,0.000052816642,0.000022087312,0.0036685597,0.0005094923,0.0000902856,0.000072412,0.00016089229,2.1902443e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016619273,0.000034242676,0.18038154,0.00031244312,0.0004819063,0.000011334608,0.00038030816,0.075854,0.17989036,0.5268351,0.0005329071,0.03528421],"study_design_scores_gemma":[0.00008169016,0.000038531634,0.058256887,0.00009505849,0.000143758,0.000023209914,0.00014109247,0.926364,0.00619153,0.0008227771,0.007724337,0.00011714231],"about_ca_topic_score_codex":0.000003557235,"about_ca_topic_score_gemma":0.0000044265316,"teacher_disagreement_score":0.85051,"about_ca_system_score_codex":0.000059521604,"about_ca_system_score_gemma":0.000051922245,"threshold_uncertainty_score":0.21538003},"labels":[],"label_agreement":null},{"id":"W4405224962","doi":"10.1139/cgj-2024-0384","title":"Optimization of inputs for the application of ANN to rail track granular materials","year":2024,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council","keywords":"Granular material; Geotechnical engineering; Track (disk drive); Engineering; Civil engineering; Forensic engineering; Mechanical engineering","score_opus":0.006206360205164749,"score_gpt":0.2082816431353796,"score_spread":0.20207528293021487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405224962","genre_codex":"methods","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":[0.007236274,0.0004189946,0.99106884,0.00051604956,0.0003431427,0.00020264376,0.00013681402,0.000057375302,0.000019836407],"genre_scores_gemma":[0.99441457,0.000075538686,0.0052730795,0.00003203488,0.00013044926,0.000021739765,0.000012819209,0.000027046894,0.000012712488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944377,0.00000562748,0.00025514836,0.000064338456,0.000078292716,0.00015280626],"domain_scores_gemma":[0.99959767,0.00005217915,0.00001892789,0.00012816132,0.000055318913,0.00014776441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026370306,0.00007135451,0.00011821123,0.00015643965,0.00003241796,0.00003532961,0.00015637782,0.00008565906,0.000014075245],"category_scores_gemma":[0.000044985918,0.000058409332,0.00005460024,0.00019922954,0.000017608761,0.000043979646,0.000004511146,0.00011778924,0.0000020726234],"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":[0.0000021206547,0.0000014889686,0.0000011778743,0.0000649698,0.000016447451,0.0000011735403,0.0000320727,0.9840086,0.007554955,0.00050458434,0.00082689815,0.0069854744],"study_design_scores_gemma":[0.000059718717,0.00002890794,0.00008747453,0.000061351326,0.000024104838,0.000026391122,0.000006004529,0.977694,0.0035065073,0.00018275966,0.01825047,0.00007231683],"about_ca_topic_score_codex":0.0002815446,"about_ca_topic_score_gemma":0.00019610749,"teacher_disagreement_score":0.9871783,"about_ca_system_score_codex":0.000086328815,"about_ca_system_score_gemma":0.000071116905,"threshold_uncertainty_score":0.23818634},"labels":[],"label_agreement":null},{"id":"W4405978234","doi":"10.1007/978-3-031-80512-7_69","title":"Instability of Vibrations in Complex Moving Objects with New Couplings","year":2025,"lang":"en","type":"book-chapter","venue":"Mechanisms and machine science","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Instability; Vibration; Physics; Computer science; Classical mechanics; Mechanics; Acoustics","score_opus":0.009527917534294746,"score_gpt":0.19828304525956006,"score_spread":0.18875512772526531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405978234","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030344715,0.0003995428,0.8418374,0.00004011144,0.00026805617,0.00037827526,0.00010264671,0.00024087292,0.1536986],"genre_scores_gemma":[0.90679944,0.00021488937,0.07614143,0.000040551073,0.000026762043,0.0000071298905,0.000036496378,0.000054689062,0.016678639],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914044,0.0000011438015,0.00021759655,0.00026113374,0.00020290137,0.00017679365],"domain_scores_gemma":[0.9995818,0.000027997408,0.00003880249,0.00023012626,0.000038072118,0.000083208266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019951402,0.00019960925,0.00026806732,0.00029087157,0.000058253238,0.00003600534,0.00018092526,0.000076488366,0.000022288012],"category_scores_gemma":[0.00001994581,0.00018060055,0.000023795248,0.00016494594,0.00010788131,0.0001083045,0.00006957159,0.00021738453,5.9875424e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008558351,0.000011620029,0.00003534359,0.00043206618,0.000017383454,0.000005130292,0.00036528136,0.25948587,0.02259121,0.70843405,0.000025317373,0.008588192],"study_design_scores_gemma":[0.0002680386,0.00007955041,0.00050968374,0.00029804948,0.000018283554,0.000006334242,0.000018553455,0.97262657,0.0009936069,0.024404138,0.00044355355,0.0003336283],"about_ca_topic_score_codex":0.00012247624,"about_ca_topic_score_gemma":0.0004807826,"teacher_disagreement_score":0.90376496,"about_ca_system_score_codex":0.00006158023,"about_ca_system_score_gemma":0.00015031054,"threshold_uncertainty_score":0.73646766},"labels":[],"label_agreement":null},{"id":"W4406242915","doi":"10.1080/00423114.2025.2449908","title":"Impact of slip velocity-dependent friction coefficient on surface traction, wear, RCF and curve squeal noise prediction in wheel-rail contact","year":2025,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Railway Engineering and Dynamics","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":"National Research Council Canada","funders":"","keywords":"Creep; Traction (geology); Mechanics; Friction coefficient; Slip (aerodynamics); Materials science; Solver; Traction control system; Contact area; Coefficient of friction; Noise (video); Structural engineering; Mechanical engineering; Composite material; Engineering; Automotive engineering; Mathematics; Physics; Computer science","score_opus":0.0041189910838558795,"score_gpt":0.21049000939630455,"score_spread":0.20637101831244867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406242915","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":[0.9530078,0.00013539265,0.043685317,0.000013832458,0.0009233801,0.0003516316,0.00023115688,0.00037710957,0.0012743499],"genre_scores_gemma":[0.99959576,0.000057172212,0.000077054036,0.000002056461,0.000029821169,0.000013627599,0.000050063118,0.00003885157,0.00013560697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986475,0.00006037651,0.0005042532,0.00026798013,0.00023328929,0.00028660725],"domain_scores_gemma":[0.9993889,0.000104229955,0.000078336045,0.00026931657,0.00007738113,0.000081876424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035657952,0.00025053124,0.00035371643,0.0002976529,0.00006275493,0.0000444228,0.00009889066,0.00022095842,0.0000025341294],"category_scores_gemma":[0.000026090851,0.00025865043,0.0000918958,0.00045122232,0.000018392733,0.00013587272,0.000020423267,0.00033585358,0.0000064995766],"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":[0.0000571067,0.00007930768,0.035767864,0.00042467573,0.00007635659,0.0000045046872,0.00022154901,0.95837796,0.0030764558,0.00082418893,0.00003838618,0.001051644],"study_design_scores_gemma":[0.000715247,0.00013202403,0.18911693,0.00029987047,0.000021195672,0.000008675028,0.00025628015,0.8091386,0.00015465004,0.0000058857972,0.000009313222,0.00014131534],"about_ca_topic_score_codex":0.0006130796,"about_ca_topic_score_gemma":0.00023528798,"teacher_disagreement_score":0.15334906,"about_ca_system_score_codex":0.0016041647,"about_ca_system_score_gemma":0.000054735676,"threshold_uncertainty_score":0.9999866},"labels":[],"label_agreement":null},{"id":"W4406287199","doi":"10.53555/sfs.v10i1.3279","title":"Comprehensive Evaluation of Geopolymer Concrete for Enhanced Railway Sleeper Performance","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geopolymer; Geopolymer cement; Geotechnical engineering; Forensic engineering; Materials science; Structural engineering; Civil engineering; Engineering; Composite material; Compressive strength","score_opus":0.13214838465571246,"score_gpt":0.2827305157415114,"score_spread":0.15058213108579896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406287199","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":[0.9970437,0.00029519087,0.0011354712,0.000019734824,0.0010011714,0.000097340286,0.000019507903,0.000023918012,0.00036392067],"genre_scores_gemma":[0.9990263,0.00020831932,0.0006669188,0.000005609122,0.00004021814,0.000006480977,0.0000049141463,0.000009827072,0.0000314334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988132,0.000061288054,0.00040566482,0.00007926522,0.00044575837,0.00019478677],"domain_scores_gemma":[0.9990076,0.00039254842,0.00011053784,0.0000726166,0.00038279415,0.00003391572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028432393,0.00009237668,0.00023469726,0.00023429742,0.000042723575,0.000026166044,0.0001996826,0.000046359266,0.000016807617],"category_scores_gemma":[0.0002649496,0.00007970185,0.000051105828,0.00067821314,0.00014657111,0.00034252476,0.00001271394,0.000095189345,0.0000015866704],"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":[0.000034285018,0.0000030091126,0.04063949,0.00010021477,0.000027943439,5.3615764e-7,0.000831598,0.93918955,0.013319847,0.000009062828,0.0005334191,0.0053110668],"study_design_scores_gemma":[0.0007563447,0.0002677084,0.34156612,0.00010440823,0.000015449894,0.0000055946684,0.0004466222,0.639012,0.01726404,0.000097647884,0.00028996446,0.00017413343],"about_ca_topic_score_codex":0.000020893314,"about_ca_topic_score_gemma":0.000023660285,"teacher_disagreement_score":0.30092663,"about_ca_system_score_codex":0.000041559648,"about_ca_system_score_gemma":0.000077141456,"threshold_uncertainty_score":0.3250147},"labels":[],"label_agreement":null},{"id":"W4406391755","doi":"10.17073/0368-0797-2024-6-653-659","title":"On the results of tribological studies of railway rails","year":2024,"lang":"en","type":"article","venue":"Izvestiya Ferrous Metallurgy","topic":"Railway Engineering and Dynamics","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":"EVRAZ (Canada)","funders":"","keywords":"Tribology; Forensic engineering; Computer science; Engineering; Mechanical engineering","score_opus":0.03650057457090639,"score_gpt":0.26458034397268776,"score_spread":0.22807976940178137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406391755","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":[0.954749,0.01216749,0.013894925,0.00057652214,0.0022367914,0.00032529474,0.00013030799,0.000952865,0.01496681],"genre_scores_gemma":[0.99810135,0.0004117753,0.00060719193,0.000017493438,0.00006677664,0.000019068453,0.000008053238,0.00003843577,0.0007298814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987682,0.000050524905,0.00049351866,0.00020409649,0.00024605225,0.0002375976],"domain_scores_gemma":[0.9981455,0.0013341055,0.00003899883,0.00038032504,0.000051752482,0.000049308688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005435166,0.00022165482,0.00043279125,0.00014595798,0.000026862079,0.000017194197,0.00023925173,0.00010035047,0.000023948616],"category_scores_gemma":[0.00072683813,0.00013728405,0.0001672728,0.0003679642,0.00016610285,0.000051384293,0.000038235605,0.0002541953,0.00003534936],"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":[0.0000836474,0.000060072023,0.0000029497178,0.00051927526,0.0008663724,0.000064285574,0.0012626426,0.8655709,0.017092304,0.10485545,0.0044349604,0.00518713],"study_design_scores_gemma":[0.0014798897,0.0011831864,0.0007862312,0.001182798,0.0004007009,0.00009576584,0.0007341413,0.90349174,0.032166664,0.027236657,0.030203015,0.0010392051],"about_ca_topic_score_codex":0.0000074684194,"about_ca_topic_score_gemma":0.0000048297275,"teacher_disagreement_score":0.077618785,"about_ca_system_score_codex":0.00003816746,"about_ca_system_score_gemma":0.00001990225,"threshold_uncertainty_score":0.5598281},"labels":[],"label_agreement":null},{"id":"W4406670218","doi":"10.1016/b978-0-08-092859-3.50011-9","title":"10.1016/b978-0-08-092859-3.50011-9","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Motion (physics); Computer science; Artificial intelligence","score_opus":0.00442252260909399,"score_gpt":0.14423702372395308,"score_spread":0.1398145011148591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406670218","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.883264e-7,0.0005606749,0.000060262413,0.0000144880905,0.000020854975,0.00022384306,0.00022143857,0.0015130709,0.99738437],"genre_scores_gemma":[0.000002471746,0.0000049403957,0.00030400231,0.00000847663,0.0004357647,0.000017977356,0.00020609735,0.00036069858,0.99865955],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855417,0.0000039562738,0.00036002832,0.00035930262,0.00026783487,0.0004547327],"domain_scores_gemma":[0.9989865,0.000041800864,0.000031411233,0.00063976075,0.000037141934,0.0002634308],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007154507,0.0006080386,0.0005201677,0.00030005202,0.000043449214,0.000060236434,0.00036190584,0.00048101958,0.98125345],"category_scores_gemma":[0.000008702132,0.0007042793,0.00019794128,0.000058777845,0.000027965618,0.00006329213,0.000049589125,0.0005418446,0.9932801],"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":[0.000021369784,0.000009282705,2.1325286e-9,0.000115847106,0.00020423994,0.000051504274,0.000015586946,0.17623761,0.000015164187,0.00018309164,0.25828758,0.56485873],"study_design_scores_gemma":[0.00013397634,0.00005877634,3.452302e-7,0.00015706499,0.000058768157,0.000021324624,9.459942e-8,0.018375544,0.0000059016465,0.00010434238,0.98031324,0.000770629],"about_ca_topic_score_codex":0.000002717562,"about_ca_topic_score_gemma":1.8886553e-7,"teacher_disagreement_score":0.7220257,"about_ca_system_score_codex":0.0001514971,"about_ca_system_score_gemma":0.00002387959,"threshold_uncertainty_score":0.9995408},"labels":[],"label_agreement":null},{"id":"W4406895409","doi":"10.1109/ictai62512.2024.00110","title":"Subspace Rotation Algorithm for Training Restricted Hopfield Network","year":2024,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"University of Ottawa","funders":"","keywords":"Computer science; Subspace topology; Training (meteorology); Artificial intelligence; Hopfield network; Rotation (mathematics); Algorithm; Artificial neural network; Pattern recognition (psychology); Mathematical optimization; Mathematics","score_opus":0.011742528834249446,"score_gpt":0.2171325138994074,"score_spread":0.20538998506515796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406895409","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002036432,0.0006493876,0.98923135,0.00006799305,0.0012687679,0.00012603887,0.000010652769,0.0018063165,0.0048030703],"genre_scores_gemma":[0.47263446,0.00022444222,0.5206943,0.00005650533,0.001732834,0.00015454488,0.00014431369,0.00016386516,0.004194727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950695,0.0000026941093,0.00010672588,0.000106981934,0.000058290152,0.000218369],"domain_scores_gemma":[0.9997304,0.00012779211,0.0000036451734,0.000081375336,0.000013792184,0.000043008476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006238972,0.000096613265,0.00008497786,0.00005831378,0.000027196083,0.00006581005,0.000046573732,0.00007276727,0.000013770883],"category_scores_gemma":[0.000012390908,0.00009596459,0.000047405174,0.00024885277,0.000004144358,0.00007674673,0.0000038930466,0.00010579504,0.000011547223],"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":[7.230651e-7,0.0000011628193,0.0000025747242,0.00005041456,0.000031407977,0.0000037312145,0.00020819638,0.73194766,0.0001429638,0.0026253946,0.010027439,0.25495833],"study_design_scores_gemma":[0.000075808384,0.000018269831,0.000047604986,0.000037070633,0.00001058854,0.0000041286976,0.000062215135,0.98394847,0.00007123098,0.00049685454,0.015103146,0.00012458794],"about_ca_topic_score_codex":0.0000037062982,"about_ca_topic_score_gemma":0.000006239484,"teacher_disagreement_score":0.47059804,"about_ca_system_score_codex":0.00002792902,"about_ca_system_score_gemma":0.000011368402,"threshold_uncertainty_score":0.39133224},"labels":[],"label_agreement":null},{"id":"W4407409658","doi":"10.1177/09544097251318765","title":"Train-velocity-filtering of wayside noise to measure grind effectiveness when targeting variable wavelength rail corrugation","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","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":"National Research Council Canada; University of Manitoba","funders":"","keywords":"Grind; Measure (data warehouse); Noise (video); Variable (mathematics); Wavelength; Acoustics; Computer science; Engineering; Mechanical engineering; Mathematics; Physics; Optics; Artificial intelligence; Data mining; Mathematical analysis; Image (mathematics); Grinding","score_opus":0.006726263311549413,"score_gpt":0.18557035259585467,"score_spread":0.17884408928430526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407409658","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":[0.5844461,0.0005139574,0.41279927,0.00018681906,0.0010934874,0.00030272838,0.00002441919,0.000052308053,0.0005809226],"genre_scores_gemma":[0.9866212,0.00015266589,0.013118022,0.000009429318,0.000062541134,0.0000053931485,0.0000011613259,0.000018547478,0.0000110155315],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852157,0.000014881658,0.00076677534,0.00013989484,0.00034623055,0.00021064245],"domain_scores_gemma":[0.9990763,0.00011319344,0.000190519,0.000080756705,0.00043155855,0.000107663116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012110139,0.00021846517,0.0005682954,0.0002642767,0.00006469641,0.000015984808,0.00027392618,0.00015310882,0.0000045158067],"category_scores_gemma":[0.00033889248,0.00017611125,0.0001881275,0.00045312563,0.00006494489,0.0002384734,0.000030095238,0.00035847886,1.4678255e-7],"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":[0.00021742865,0.000056911267,0.00003664269,0.0019851197,0.00029656445,7.3763186e-7,0.0006578171,0.46135923,0.51556075,0.01420827,0.00010410871,0.0055164564],"study_design_scores_gemma":[0.0031575973,0.00039929058,0.0010355527,0.005370807,0.00046440266,0.000059434347,0.0005011598,0.24929196,0.735741,0.00196192,0.0015443676,0.00047251215],"about_ca_topic_score_codex":0.000004623932,"about_ca_topic_score_gemma":4.864755e-7,"teacher_disagreement_score":0.40217513,"about_ca_system_score_codex":0.00007130131,"about_ca_system_score_gemma":0.000065114924,"threshold_uncertainty_score":0.71816087},"labels":[],"label_agreement":null},{"id":"W4407810594","doi":"10.1177/10775463251321198","title":"Braking force distribution strategy for virtual rail trains based on I-curve","year":2025,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Train; Distribution (mathematics); Engineering; Freight trains; Computer science; Structural engineering; Control theory (sociology); Mathematics; Mathematical analysis; Artificial intelligence","score_opus":0.005809794772436308,"score_gpt":0.21835368075532963,"score_spread":0.2125438859828933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407810594","genre_codex":"methods","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":[0.019513043,0.000087956156,0.9793389,0.00031078502,0.00028757483,0.00009304917,0.00004890827,0.00003284794,0.00028695483],"genre_scores_gemma":[0.9994042,0.000010154447,0.00027197698,0.00014034523,0.00009358329,0.00000472259,0.000016608801,0.00000756762,0.000050861112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955213,0.000011836411,0.00022308248,0.00004807018,0.000073825606,0.00009104479],"domain_scores_gemma":[0.9996655,0.00014355987,0.00004928073,0.00004462713,0.000058825073,0.000038194445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016248791,0.000078885634,0.00013714649,0.00007523571,0.000043635195,0.000057201476,0.000038951337,0.00005479356,0.000002565957],"category_scores_gemma":[0.000066392466,0.0000712451,0.00006467141,0.00006347653,0.000008000391,0.000113868955,0.0000010923811,0.00010310168,2.0960859e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001023862,0.00001478568,0.00003795827,0.000028941928,0.00003678588,9.673328e-7,0.000020341136,0.9715429,0.0047227964,0.0077675697,0.0003372854,0.015387295],"study_design_scores_gemma":[0.0020116477,0.000235079,0.0016812835,0.0000554415,0.00002734088,0.0000025099678,0.00003425676,0.99422324,0.0005547407,0.00027900867,0.0008304661,0.00006501351],"about_ca_topic_score_codex":3.0673766e-7,"about_ca_topic_score_gemma":0.0000020472319,"teacher_disagreement_score":0.9798911,"about_ca_system_score_codex":0.000042682954,"about_ca_system_score_gemma":0.00003518997,"threshold_uncertainty_score":0.29052907},"labels":[],"label_agreement":null},{"id":"W4407941700","doi":"10.1016/j.trgeo.2025.101533","title":"Stochastic investigation of the relationship between track geometry and ballast degradation rates","year":2025,"lang":"en","type":"article","venue":"Transportation Geotechnics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"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":"Frontera Energy; Federal Railroad Administration; U.S. Department of Transportation; CSX Corporation","keywords":"Track geometry; Ballast; Geometry; Degradation (telecommunications); Track (disk drive); Mechanics; Environmental science; Geotechnical engineering; Mathematics; Geology; Engineering; Physics; Mechanical engineering","score_opus":0.013201086566641125,"score_gpt":0.22011615982085653,"score_spread":0.2069150732542154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407941700","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":[0.7321643,0.00010897893,0.2672425,0.00006641901,0.000081098246,0.00012144692,0.00003859367,0.00014504732,0.000031611937],"genre_scores_gemma":[0.998854,0.0000120369505,0.00091143796,0.000007748741,0.000008917857,0.000010408732,0.00011219301,0.000013118549,0.00007015588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99943846,0.000009256098,0.00027150288,0.00009178196,0.000103092796,0.000085896776],"domain_scores_gemma":[0.99957144,0.00018816565,0.000041438503,0.00013841773,0.000036354108,0.000024204379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011488721,0.00009548692,0.00010576001,0.00014062441,0.000052781194,0.000010575882,0.000076673416,0.00011026231,0.0000014150767],"category_scores_gemma":[0.00005494494,0.00008947421,0.00003172418,0.00057038834,0.000045427954,0.000093683826,0.0000019630168,0.00016529813,6.772225e-7],"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":[0.0000021642618,0.000002869992,0.19888645,0.00023945731,0.000018676186,7.3695475e-8,0.00017046349,0.79010206,0.00092160125,0.008572408,0.000031643984,0.0010520981],"study_design_scores_gemma":[0.0001436941,0.0000063162897,0.92356503,0.00009784107,0.000049997634,2.0201028e-7,0.000040507573,0.07213076,0.0010699893,0.0027912322,0.000023263034,0.000081180995],"about_ca_topic_score_codex":0.000010227281,"about_ca_topic_score_gemma":0.00003058567,"teacher_disagreement_score":0.7246786,"about_ca_system_score_codex":0.00002572958,"about_ca_system_score_gemma":0.000019566432,"threshold_uncertainty_score":0.36486524},"labels":[],"label_agreement":null},{"id":"W4408042997","doi":"10.1080/10298436.2025.2470856","title":"Dynamic response analysis of the aircraft-snow runway coupling system during taxiing","year":2025,"lang":"en","type":"article","venue":"International Journal of Pavement Engineering","topic":"Railway Engineering and Dynamics","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":"Ministry of Transportation of Ontario","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China","keywords":"Runway; Snow; Coupling (piping); Environmental science; Engineering; Structural engineering; Meteorology; Physics; Mechanical engineering; Geography","score_opus":0.0026772938363862115,"score_gpt":0.20702086081990173,"score_spread":0.20434356698351552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408042997","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":[0.78598034,0.0003465086,0.21099895,0.00006270607,0.0023941225,0.00006589147,0.000022623177,0.000087406894,0.000041419094],"genre_scores_gemma":[0.998077,0.000052406736,0.0016986175,0.0000058944743,0.00005405769,0.000004883334,0.0000032430637,0.000026819996,0.00007710322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984189,0.000014059909,0.00076896243,0.00010767232,0.00049138104,0.00019900252],"domain_scores_gemma":[0.9991442,0.00017417679,0.00017440616,0.000225362,0.00023163376,0.000050201317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052176806,0.00018848665,0.00034647115,0.0011621417,0.000037917172,0.000049247355,0.000605938,0.00006724932,0.0000064339056],"category_scores_gemma":[0.00012513156,0.00016466636,0.00035631485,0.00077304034,0.000015179634,0.00013098706,0.00007621382,0.0002810252,7.457114e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028489238,0.000012956471,0.0012722806,0.000108716136,0.0024671266,0.00001846593,0.00011538748,0.9241469,0.071387686,0.00033263786,0.000008221672,0.000101169],"study_design_scores_gemma":[0.0003998092,0.000010826625,0.030222464,0.0008555382,0.00032205007,0.00001572436,0.00014263301,0.9558932,0.011836958,0.000003231024,0.00016961903,0.0001279109],"about_ca_topic_score_codex":0.000004039787,"about_ca_topic_score_gemma":0.0000038579515,"teacher_disagreement_score":0.2120966,"about_ca_system_score_codex":0.0007078653,"about_ca_system_score_gemma":0.000040479852,"threshold_uncertainty_score":0.6714899},"labels":[],"label_agreement":null},{"id":"W4408564507","doi":"10.1016/j.trgeo.2025.101551","title":"Effect of sub-freezing temperatures on ballast strength: A laboratory study","year":2025,"lang":"en","type":"article","venue":"Transportation Geotechnics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":3,"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":"University of Illinois at Urbana-Champaign; National Research Council Canada; Federal Railroad Administration; U.S. Department of Transportation","keywords":"Ballast; Materials science; Environmental science; Geotechnical engineering; Mechanics; Composite material; Engineering; Physics","score_opus":0.0019553082793473424,"score_gpt":0.20441508730994287,"score_spread":0.20245977903059553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408564507","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":[0.99358433,0.00016534029,0.0047750077,0.000006064781,0.00026177603,0.00031087242,0.000099018944,0.0006155509,0.00018204414],"genre_scores_gemma":[0.9996972,0.000043489308,0.000109363704,0.000007029164,0.000012553334,0.000035539273,0.00005104554,0.00002784591,0.000015948022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992671,0.00002081826,0.00026761225,0.00014566745,0.0001554536,0.00014332155],"domain_scores_gemma":[0.9995417,0.000108278546,0.000024563975,0.00025287477,0.00004213895,0.000030446863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019762604,0.00017925297,0.00022177561,0.00020359523,0.000031940843,0.000011780452,0.000120499564,0.000097552416,0.00000332378],"category_scores_gemma":[0.000021601429,0.00017811067,0.00005539409,0.0004882147,0.000014639906,0.000047479127,0.0000017081742,0.00024397523,0.0000023095324],"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":[0.00006411166,0.000075787655,0.001484401,0.00045260976,0.00008308254,0.000010574886,0.00028363106,0.9747161,0.019889308,0.00085194584,0.00013432876,0.0019540915],"study_design_scores_gemma":[0.0060750274,0.0032185542,0.10316385,0.0012138401,0.0004899301,0.000001221698,0.00070517085,0.34711522,0.5337307,0.00014227004,0.0026594044,0.0014848189],"about_ca_topic_score_codex":0.0000053773783,"about_ca_topic_score_gemma":0.000041481522,"teacher_disagreement_score":0.6276009,"about_ca_system_score_codex":0.000035528417,"about_ca_system_score_gemma":0.00001690498,"threshold_uncertainty_score":0.72631425},"labels":[],"label_agreement":null},{"id":"W4409196680","doi":"10.1016/j.ress.2025.111092","title":"Physics-informed deep learning for virtual rail train trajectory following control","year":2025,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; University of Manitoba","keywords":"Trajectory; Control (management); Deep learning; Engineering; Computer science; Artificial intelligence; Operations research; Industrial engineering; Aeronautics; Simulation; Physics","score_opus":0.0029804782912717345,"score_gpt":0.1909200413138703,"score_spread":0.18793956302259857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409196680","genre_codex":"methods","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":[0.046459883,0.00044822102,0.9441366,0.000024655217,0.0031454363,0.0009512526,0.000052073556,0.003465071,0.0013168151],"genre_scores_gemma":[0.9950688,0.000021904574,0.0039303554,0.000011730923,0.00025659325,0.00028569665,0.000061856634,0.00013611025,0.00022694704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99749637,0.000042697076,0.0008966432,0.00047116837,0.00027779792,0.00081534515],"domain_scores_gemma":[0.99806577,0.0010435244,0.000057111873,0.00057032716,0.00008592978,0.00017736286],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009029852,0.0005628764,0.00084595836,0.00019812881,0.00018270187,0.00007705236,0.00033322917,0.0003112066,0.0000031483237],"category_scores_gemma":[0.0004946691,0.00062109146,0.0005939864,0.00048820613,0.00002639334,0.00023473834,0.000021756689,0.00055514055,0.000013305185],"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":[0.000039592032,0.000016653883,0.00022077964,0.0019864568,0.00024982102,0.0000028645607,0.00026598028,0.9867057,0.0018104801,0.0033673467,0.00005303565,0.005281285],"study_design_scores_gemma":[0.0018373491,0.00006105166,0.0017268504,0.00048357155,0.00011618647,0.0000038243497,0.0002321833,0.9875441,0.0002856519,0.000015802441,0.0071323365,0.00056108355],"about_ca_topic_score_codex":0.000010105122,"about_ca_topic_score_gemma":0.000004477002,"teacher_disagreement_score":0.94860893,"about_ca_system_score_codex":0.0012105444,"about_ca_system_score_gemma":0.00009317639,"threshold_uncertainty_score":0.999624},"labels":[],"label_agreement":null},{"id":"W4409251808","doi":"10.1177/09544097251332371","title":"Could laser-based profile measurements be used in wheel/rail contact and vehicle dynamics simulations?","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","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":"Simon Fraser University","funders":"","keywords":"Automotive engineering; Dynamics (music); Laser; Vehicle dynamics; Contact dynamics; Aerospace engineering; Computer science; Engineering; Mechanical engineering; Physics; Mechanics; Acoustics; Optics","score_opus":0.014423154462707635,"score_gpt":0.21601836498070734,"score_spread":0.2015952105179997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409251808","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":[0.97821033,0.00054798956,0.019710295,0.00063130836,0.0004163865,0.00021774926,0.00004188074,0.000035873465,0.00018821233],"genre_scores_gemma":[0.99879175,0.000117692856,0.0010151044,0.000028033346,0.00001813371,0.000002875667,0.000002260288,0.000012058011,0.000012103669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988868,0.0000071044965,0.0005600052,0.00010387433,0.00028531256,0.00015685493],"domain_scores_gemma":[0.99949276,0.00006382466,0.00011520416,0.00006174362,0.00019265553,0.000073800686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043240192,0.00016380545,0.00036567246,0.00023095997,0.000044743992,0.00001807286,0.00015165898,0.00013560866,0.000003871291],"category_scores_gemma":[0.00011397005,0.00013252854,0.00009900164,0.00033273615,0.000064582935,0.00019810673,0.000012908437,0.00031310404,6.28435e-8],"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":[0.00021748919,0.00014622863,0.0021139553,0.0012224868,0.00023297106,0.0000016334291,0.00024656235,0.8771389,0.10800135,0.008416002,0.00013629951,0.0021261224],"study_design_scores_gemma":[0.0026674175,0.00014914772,0.0014540161,0.0008567153,0.00011479356,0.000008029402,0.00011161667,0.9369361,0.05706366,0.0001556573,0.0003250315,0.00015783017],"about_ca_topic_score_codex":0.0000042436463,"about_ca_topic_score_gemma":0.000009187965,"teacher_disagreement_score":0.059797183,"about_ca_system_score_codex":0.00007781722,"about_ca_system_score_gemma":0.00005659218,"threshold_uncertainty_score":0.5404357},"labels":[],"label_agreement":null},{"id":"W4409374019","doi":"10.1016/b978-0-443-23942-7.00005-x","title":"Stability of vibrations of a system of discrete oscillators that are moving at an overcritical velocity","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Vibration; Stability (learning theory); Physics; Mechanics; Classical mechanics; Acoustics; Computer science","score_opus":0.011036078045767327,"score_gpt":0.20803129424345584,"score_spread":0.1969952161976885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409374019","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":[0.03739201,0.00064860366,0.002842106,0.0000039964375,0.0005460135,0.00050805835,0.0018638038,0.00027864598,0.95591676],"genre_scores_gemma":[0.96593285,0.000030095081,0.0013829115,0.000003041906,0.00005023411,0.00001432534,0.000054974327,0.00008883408,0.032442767],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985384,0.000020794067,0.0006665683,0.00026027215,0.0003159511,0.00019803489],"domain_scores_gemma":[0.9988287,0.00012503308,0.0001311335,0.00069121964,0.00012363313,0.00010024437],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019007991,0.00033154912,0.00085082016,0.00015736338,0.00003522623,0.000008400868,0.0002108342,0.00033494472,0.000016473456],"category_scores_gemma":[0.000031044343,0.00034411318,0.00025843343,0.0000268808,0.00014554351,0.000050207953,0.00010217781,0.00027384926,0.00000102631],"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":[0.00030904394,0.00016310504,0.006372007,0.17958651,0.003835733,0.00006793367,0.006284339,0.08927559,0.016387036,0.39884102,0.00012888745,0.2987488],"study_design_scores_gemma":[0.0028841,0.00073697726,0.0077624274,0.050190147,0.0030421384,0.0000613191,0.001285493,0.8158899,0.055884667,0.005648421,0.050339736,0.0062746727],"about_ca_topic_score_codex":0.000002397841,"about_ca_topic_score_gemma":0.00005198683,"teacher_disagreement_score":0.9285408,"about_ca_system_score_codex":0.00024524538,"about_ca_system_score_gemma":0.000063835454,"threshold_uncertainty_score":0.9999011},"labels":[],"label_agreement":null},{"id":"W4409374033","doi":"10.1016/b978-0-443-23942-7.00008-5","title":"Modeling of a three-part viscoelastic foundation and its effect on dynamic stability","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Viscoelasticity; Foundation (evidence); Stability (learning theory); Computer science; Materials science; History; Composite material; Archaeology","score_opus":0.009326709485193926,"score_gpt":0.21032670529729725,"score_spread":0.20099999581210332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409374033","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01912958,0.001523113,0.007636793,0.00000369448,0.0009617278,0.0008185822,0.00010490361,0.00038492645,0.9694367],"genre_scores_gemma":[0.77531356,0.00025044705,0.00038934549,0.000012231725,0.000136187,0.00007614741,0.00012505018,0.00022639851,0.22347066],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887186,0.000010913352,0.00040351608,0.00031503424,0.00019692222,0.00020176083],"domain_scores_gemma":[0.99932635,0.00014641804,0.00004717306,0.00036123453,0.000053435666,0.00006536855],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020361748,0.0004124621,0.0005431025,0.00019466679,0.00003908039,0.000023529476,0.00011772574,0.00027351175,0.000017628156],"category_scores_gemma":[0.00003768357,0.00041672954,0.00012586373,0.000016660877,0.000029521916,0.000032731587,0.000043757464,0.00043020528,0.000015024952],"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":[0.000030007224,0.0000047554972,0.0000029582616,0.0026733864,0.00017521587,0.00000344585,0.000057998604,0.3020301,0.00020227379,0.0037496563,0.0000017956205,0.6910684],"study_design_scores_gemma":[0.00020865016,0.00012368248,0.0000040432833,0.0013784663,0.00013439184,0.0000019884426,6.7726444e-7,0.99304014,0.00004391509,0.0014958619,0.0032462198,0.0003219735],"about_ca_topic_score_codex":2.6095623e-7,"about_ca_topic_score_gemma":0.00003023764,"teacher_disagreement_score":0.756184,"about_ca_system_score_codex":0.00014973049,"about_ca_system_score_gemma":0.000033176362,"threshold_uncertainty_score":0.99982846},"labels":[],"label_agreement":null},{"id":"W4409374043","doi":"10.1016/b978-0-443-23942-7.00006-1","title":"Vibrational benefits of the new stabilizer in moving coupled vehicles","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Stabilizer (aeronautics); Computer science; Aerospace engineering; Engineering","score_opus":0.006805217449237978,"score_gpt":0.18638779070778028,"score_spread":0.1795825732585423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409374043","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014763216,0.0025776029,0.00032952282,0.000037888312,0.0006558822,0.00033138957,0.0000734705,0.000134911,0.99438304],"genre_scores_gemma":[0.012462692,0.00016737614,0.0012890201,0.000042781758,0.00018027291,0.000015303873,0.000022946022,0.00010637052,0.98571324],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990485,0.0000051216716,0.00039009008,0.000173282,0.0002133366,0.00016970914],"domain_scores_gemma":[0.999413,0.00008551254,0.00005447317,0.00036892603,0.00003408064,0.000044008786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008622321,0.0002667482,0.00033646342,0.0001386646,0.000023363695,0.000016876576,0.00024813702,0.00023848513,0.000037081914],"category_scores_gemma":[0.000019958388,0.00023451871,0.00014010277,0.000028155773,0.000033468146,0.00002620978,0.000068361725,0.0003930334,0.0000051238317],"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":[0.0000056752433,0.0000038521916,0.000044604403,0.00038080965,0.000094247305,0.0000016878465,0.00021759437,0.351566,0.00039430935,0.032895606,0.00017561912,0.61422],"study_design_scores_gemma":[0.0015240316,0.00004812393,0.0026190327,0.006765643,0.0002351299,0.000010146966,0.00001948571,0.4309556,0.0013184131,0.023260089,0.53139293,0.0018513778],"about_ca_topic_score_codex":0.0000013280364,"about_ca_topic_score_gemma":0.00009238975,"teacher_disagreement_score":0.61236864,"about_ca_system_score_codex":0.000100594436,"about_ca_system_score_gemma":0.00012749617,"threshold_uncertainty_score":0.95633954},"labels":[],"label_agreement":null},{"id":"W4409374046","doi":"10.1016/b978-0-443-23942-7.00007-3","title":"Dynamics and stability of a complex rail vehicle system","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Stability (learning theory); Dynamics (music); Computer science; Engineering; Physics; Acoustics","score_opus":0.009386963857517108,"score_gpt":0.19347884710445834,"score_spread":0.18409188324694123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409374046","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00080135965,0.00087722874,0.00073762966,0.0000055749933,0.0003043997,0.00030219904,0.00041047743,0.0004034956,0.99615765],"genre_scores_gemma":[0.20476687,0.00014945498,0.001671606,0.000014734893,0.00011208504,0.00002900059,0.00013387043,0.00019263229,0.79292977],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891865,0.00000873384,0.0004525007,0.00025069463,0.0001648085,0.00020460866],"domain_scores_gemma":[0.99921846,0.00007479068,0.000066223176,0.0004912362,0.00006521976,0.000084037834],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014003659,0.00035507092,0.0006261426,0.00013052125,0.00003321426,0.00002011576,0.0001637631,0.00029159736,0.000014006384],"category_scores_gemma":[0.000007928233,0.0003840568,0.00012942975,0.000016146427,0.00009103446,0.000018726096,0.00007555258,0.00034181422,0.000005547744],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010440786,0.0000047096405,0.000027280974,0.0071881283,0.00027229136,0.0000116598185,0.00016303014,0.0012447211,0.00017937057,0.06636276,0.00006183064,0.92447376],"study_design_scores_gemma":[0.0005347185,0.000056381956,0.00012957634,0.0020886497,0.000251032,0.000018665638,0.000048224963,0.8537464,0.00009628988,0.00116823,0.14094277,0.0009190703],"about_ca_topic_score_codex":8.77683e-7,"about_ca_topic_score_gemma":0.000030563697,"teacher_disagreement_score":0.9235547,"about_ca_system_score_codex":0.00024082961,"about_ca_system_score_gemma":0.000035596113,"threshold_uncertainty_score":0.9998611},"labels":[],"label_agreement":null},{"id":"W4409374832","doi":"10.1016/b978-0-443-23942-7.00004-8","title":"Stabilization and critical velocity of a moving mass","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Mechanics; Physics","score_opus":0.0066839970370306985,"score_gpt":0.20760234803108463,"score_spread":0.20091835099405392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409374832","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010363175,0.0013941966,0.007537336,0.0000069714392,0.00032502253,0.00013500344,0.000071938106,0.00019136874,0.99023455],"genre_scores_gemma":[0.016809434,0.00044644918,0.010865176,0.000025196714,0.00014769983,0.000019176165,0.00003803456,0.00014959597,0.97149926],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99928856,0.0000045682027,0.0002721005,0.00016821618,0.00012345187,0.0001431181],"domain_scores_gemma":[0.99954027,0.00010157292,0.000023778195,0.00021969293,0.000058047066,0.000056655164],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008236738,0.00022492807,0.000326283,0.00012680184,0.000023821236,0.000017649412,0.00007918787,0.0002451592,0.000017868744],"category_scores_gemma":[0.000047702088,0.00025209936,0.00006570089,0.000011396324,0.00006746835,0.000023595665,0.000033438086,0.0002575842,0.0000031688999],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031060674,0.0000019251931,0.0000070182705,0.0020701848,0.00007565081,0.000005893011,0.000119663055,0.0029849284,0.00019888318,0.048697926,0.000035803565,0.945799],"study_design_scores_gemma":[0.00045944777,0.00007988295,0.00008695787,0.0034181601,0.0003783285,0.000013489589,0.000021092317,0.46146515,0.0004133011,0.04008454,0.49218485,0.0013948],"about_ca_topic_score_codex":1.3578706e-7,"about_ca_topic_score_gemma":0.0000023910338,"teacher_disagreement_score":0.94440424,"about_ca_system_score_codex":0.000055837943,"about_ca_system_score_gemma":0.000028430231,"threshold_uncertainty_score":0.99999315},"labels":[],"label_agreement":null},{"id":"W4409963431","doi":"10.1139/tcsme-2024-0180","title":"Coupling effect of parameters on critical speed and hunting frequency of the linearized railway bogie system","year":2025,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Bogie; Critical speed; Coupling (piping); Physics; Critical frequency; Engineering; Control theory (sociology); Structural engineering; Acoustics; Computer science; Vibration; Mechanical engineering","score_opus":0.006508051049844795,"score_gpt":0.20701192719995565,"score_spread":0.20050387615011087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409963431","genre_codex":"methods","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":[0.37328097,0.00037577568,0.6228159,0.00023380634,0.0019316038,0.0008158786,0.0002653714,0.00019003675,0.00009068259],"genre_scores_gemma":[0.9929121,0.0000079084775,0.006994771,0.000007709381,0.00001314197,0.000018196759,0.0000012292712,0.000031809523,0.000013096815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911964,0.00000934644,0.0003440354,0.00013017793,0.00013033499,0.00026645005],"domain_scores_gemma":[0.99888337,0.000645975,0.000032362757,0.00030276334,0.000047706813,0.00008784807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032874264,0.00017165794,0.00033858765,0.00007027981,0.00011602576,0.0000124688895,0.00024368965,0.00017764224,0.0000012170486],"category_scores_gemma":[0.00019807751,0.00013330374,0.0005006648,0.00033875284,0.00006311814,0.000036479014,0.0000074953327,0.0003153669,8.405355e-8],"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":[0.000005302521,0.000004766939,0.00001533611,0.0017565101,0.0001788461,9.016048e-8,0.000050114337,0.96673864,0.02413117,0.0069436072,0.0000066604935,0.00016896303],"study_design_scores_gemma":[0.0003637138,0.000042209176,0.000038135513,0.0006000813,0.0001716355,0.0000015344657,0.000050143946,0.934872,0.06369358,0.00004806969,0.000015437001,0.00010346274],"about_ca_topic_score_codex":0.0012318569,"about_ca_topic_score_gemma":0.0005156452,"teacher_disagreement_score":0.6196312,"about_ca_system_score_codex":0.00022258883,"about_ca_system_score_gemma":0.00007009173,"threshold_uncertainty_score":0.54359686},"labels":[],"label_agreement":null},{"id":"W4410559839","doi":"10.3390/infrastructures10050126","title":"Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure Risks","year":2025,"lang":"en","type":"article","venue":"Infrastructures","topic":"Railway Engineering and Dynamics","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":"National Research Council Canada","funders":"","keywords":"Component (thermodynamics); Track (disk drive); Intervention (counseling); Risk analysis (engineering); Business; Computer science; Accounting; Psychology; Physics","score_opus":0.008482864157130047,"score_gpt":0.26525528294707784,"score_spread":0.2567724187899478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410559839","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":[0.5902806,0.0005807423,0.40706804,0.000032582044,0.0009729834,0.0001532782,0.000023659673,0.00033966682,0.00054847996],"genre_scores_gemma":[0.98827016,0.000007091933,0.011423642,0.000019728022,0.00012132214,0.00003248803,0.000033736622,0.000027909015,0.00006389149],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925816,0.00000860489,0.00027505538,0.00016953403,0.00006596496,0.00022270871],"domain_scores_gemma":[0.9995943,0.00015385119,0.00003913682,0.00013015879,0.000043454766,0.000039137492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010185058,0.00017851092,0.00017869537,0.00021527942,0.00012381212,0.00014066444,0.000098196404,0.00008499718,0.000020009524],"category_scores_gemma":[0.00009468651,0.00018638847,0.00007661123,0.00011558555,0.00002094698,0.00020600863,0.000033251737,0.00024837448,8.771673e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024903691,0.000014885922,0.00677952,0.0010150314,0.00026255767,0.0000028626193,0.0012368738,0.8919895,0.0666138,0.0013040818,0.0059463615,0.024809599],"study_design_scores_gemma":[0.0008263332,0.000028746934,0.09901559,0.000850176,0.00007794944,0.000021406993,0.0007909196,0.87176573,0.0128797265,0.0030527064,0.010271217,0.00041949426],"about_ca_topic_score_codex":0.000020257865,"about_ca_topic_score_gemma":0.000051966617,"teacher_disagreement_score":0.39798963,"about_ca_system_score_codex":0.00007342375,"about_ca_system_score_gemma":0.000007679301,"threshold_uncertainty_score":0.76007015},"labels":[],"label_agreement":null},{"id":"W4410814177","doi":"10.5751/ace-02853-200122","title":"Survival of captive-raised light-footed Ridgway’s rails is influenced by release date and time in wild","year":2025,"lang":"en","type":"article","venue":"Avian Conservation and Ecology","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; University of Idaho","keywords":"Ecology; Captivity; Biology; Zoology; Geography","score_opus":0.004019331389963586,"score_gpt":0.1940120103724342,"score_spread":0.18999267898247063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410814177","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":[0.99647605,0.00013339294,0.0005393356,0.0012087259,0.000113210095,0.000112288646,0.000033592423,0.000055603938,0.0013278256],"genre_scores_gemma":[0.9989022,0.00010965433,0.00016786436,0.00028791942,0.00000462936,0.00001002198,0.0000309202,0.000009632096,0.00047715506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943495,0.00002379231,0.00022806981,0.00013578459,0.00003468849,0.00014274051],"domain_scores_gemma":[0.99968535,0.00011201167,0.000026936748,0.00010426667,0.000030227002,0.000041199666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010576866,0.00010318013,0.00020645556,0.00013433915,0.000024378438,0.000010569582,0.00004808833,0.00012025797,0.000035407178],"category_scores_gemma":[0.00005686099,0.00011688687,0.000013068141,0.00018540317,0.00004568089,0.0000755673,0.000018761739,0.00010165368,0.000005745345],"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":[0.00028942327,0.00016540999,0.743955,0.0007909835,0.00040904805,0.000033052416,0.003036077,0.023822393,0.18463086,0.007678098,0.023240509,0.011949107],"study_design_scores_gemma":[0.0019867374,0.000071081995,0.547774,0.00007370697,0.000023025159,0.0000042756565,0.00008034289,0.4404682,0.0026988434,0.000363245,0.0061782594,0.00027826717],"about_ca_topic_score_codex":0.000063407104,"about_ca_topic_score_gemma":0.0001096358,"teacher_disagreement_score":0.4166458,"about_ca_system_score_codex":0.00001898817,"about_ca_system_score_gemma":0.000022370692,"threshold_uncertainty_score":0.47665083},"labels":[],"label_agreement":null},{"id":"W4410943255","doi":"10.1139/cgj-2024-0507","title":"Effects of rubber-intermixed ballast on train loading response through field monitoring in Western Sydney","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council","keywords":"Ballast; Geotechnical engineering; Natural rubber; Field (mathematics); Engineering; Geology; Forensic engineering; Structural engineering; Environmental science; Materials science; Composite material; Electrical engineering","score_opus":0.005786581221862671,"score_gpt":0.2228378196622475,"score_spread":0.21705123844038482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410943255","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":[0.9630479,0.00028814218,0.033678148,0.00053795887,0.0014240198,0.00014501666,0.000007958809,0.00011793673,0.00075286935],"genre_scores_gemma":[0.9992364,0.00007206462,0.00035671447,0.00010909872,0.000087810404,0.0000069232815,5.3787403e-7,0.000026061716,0.00010439258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893385,0.000047999558,0.00034782942,0.00012972092,0.00011904699,0.00042153656],"domain_scores_gemma":[0.99906135,0.00047300596,0.000027148304,0.000174502,0.000022750852,0.00024126853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002924001,0.00016993309,0.00025885296,0.0004724923,0.000048027854,0.00004439731,0.0002687144,0.00022206648,0.000008068503],"category_scores_gemma":[0.00042999434,0.00018293665,0.000091270325,0.00031340984,0.000021543961,0.00007954726,0.000015494606,0.0008653093,0.000004482889],"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":[0.00024232359,0.0000401183,0.002296515,0.00036485778,0.00012068491,0.0011636917,0.0005103347,0.94628155,0.027941242,0.00050525286,0.0012749728,0.019258432],"study_design_scores_gemma":[0.008345066,0.0017711029,0.22954193,0.021234628,0.00021705875,0.000865921,0.0004993409,0.4924734,0.19131957,0.0029787188,0.047694534,0.0030587297],"about_ca_topic_score_codex":0.0007666405,"about_ca_topic_score_gemma":0.00087742833,"teacher_disagreement_score":0.45380816,"about_ca_system_score_codex":0.00053564156,"about_ca_system_score_gemma":0.00015385165,"threshold_uncertainty_score":0.74599403},"labels":[],"label_agreement":null},{"id":"W4411586097","doi":"10.1016/j.jrtpm.2025.100532","title":"Analysis of freight train passing a stop signal using machine learning: Application of XGBoost and SHAP","year":2025,"lang":"en","type":"article","venue":"Journal of Rail Transport Planning & Management","topic":"Railway Engineering and Dynamics","field":"Engineering","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":"University of Alberta; Canadian Pacific Railway (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Transport Canada","keywords":"Transport engineering; Computer science; Train; SIGNAL (programming language); Rail freight transport; Engineering; Automotive engineering; Real-time computing; Geography","score_opus":0.00800928111972635,"score_gpt":0.22420071643166622,"score_spread":0.21619143531193988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411586097","genre_codex":"methods","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":[0.45124558,0.00085553946,0.5473244,0.000014062537,0.000048569014,0.000060274717,0.000011613725,0.000024071824,0.00041585488],"genre_scores_gemma":[0.9880803,0.00011073063,0.011688233,0.000005645745,0.000016109376,0.0000015135973,0.000020931238,0.000016570651,0.000059925158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988353,0.000012422466,0.0006584204,0.00011380759,0.00023221692,0.00014778574],"domain_scores_gemma":[0.9995199,0.000043906628,0.00022202963,0.000110512585,0.000053940406,0.000049726124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039625712,0.00015362231,0.00047694414,0.0009556033,0.00003834851,0.0000117765185,0.00013149953,0.000058999864,0.000008069651],"category_scores_gemma":[0.000003303975,0.00015298008,0.00016832187,0.00069312815,0.000031493968,0.00009093481,0.000009083496,0.00022126255,5.4282435e-8],"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":[0.000033813412,0.000028484079,0.048187606,0.00044093034,0.0016949488,0.000024498951,0.00045468844,0.93884784,0.0036547924,0.00028437976,0.0000041953394,0.006343814],"study_design_scores_gemma":[0.0004555955,0.000035118555,0.10659612,0.00029699155,0.0017514843,0.000004900284,0.00019129853,0.8896026,0.00028037225,0.00005025816,0.00061629585,0.000118974865],"about_ca_topic_score_codex":0.00001918448,"about_ca_topic_score_gemma":0.0000054756174,"teacher_disagreement_score":0.5368348,"about_ca_system_score_codex":0.000050171362,"about_ca_system_score_gemma":0.000010675246,"threshold_uncertainty_score":0.62383467},"labels":[],"label_agreement":null},{"id":"W4412966441","doi":"10.1177/09544097251360450","title":"Simulation-based evaluation of maintenance strategies using look-up tables","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","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":"National Research Council Canada","funders":"","keywords":"Track (disk drive); Axle; Asset (computer security); Reliability engineering; Corrective maintenance; Sensitivity (control systems); Computer science; Engineering; Industrial engineering; Preventive maintenance; Mechanical engineering","score_opus":0.015696548027724758,"score_gpt":0.2502639693258873,"score_spread":0.23456742129816255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412966441","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":[0.618702,0.0011095514,0.37895042,0.00008349056,0.0007546386,0.00015802815,0.000016104119,0.000022676171,0.0002030778],"genre_scores_gemma":[0.9970342,0.00011935192,0.002796644,0.0000049019172,0.000029145607,0.0000014053312,7.408967e-7,0.000008926598,0.000004680958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988122,0.000007597973,0.00059809216,0.00007796617,0.00038341788,0.00012074535],"domain_scores_gemma":[0.9989172,0.00009093551,0.00019798639,0.00006151923,0.00069108757,0.000041233856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007852278,0.00013564888,0.00032922276,0.00019636842,0.00003761516,0.000012931675,0.00015946898,0.00010163863,0.000005460179],"category_scores_gemma":[0.00023544017,0.00010363071,0.00014434378,0.0003229966,0.000094539886,0.000236361,0.000008577569,0.00018105612,3.611281e-8],"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":[0.000049529335,0.000021928094,0.000018677883,0.00052429806,0.00010055806,1.0811308e-7,0.00009148625,0.94507915,0.04122141,0.0117259165,0.000013352785,0.0011536054],"study_design_scores_gemma":[0.0010382439,0.000055502664,0.00008408239,0.00094383984,0.00024496648,0.0000036499578,0.00022995558,0.94924736,0.047172267,0.00076467474,0.00013002906,0.000085399886],"about_ca_topic_score_codex":0.0000035778014,"about_ca_topic_score_gemma":8.200789e-7,"teacher_disagreement_score":0.37833217,"about_ca_system_score_codex":0.00005200255,"about_ca_system_score_gemma":0.00014440755,"threshold_uncertainty_score":0.42259377},"labels":[],"label_agreement":null},{"id":"W4412976430","doi":"10.1155/atr/5315645","title":"A Study on Fitting Longitudinal Profiles of Railway Station Tracks","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Middle-aged and Young Teachers' Basic Ability Promotion Project of Guangxi; National Natural Science Foundation of China","keywords":"Track (disk drive); Curve fitting; Algorithm; Line (geometry); Least-squares function approximation; Mathematical optimization; Computer science; Mathematics; Geometry; Statistics","score_opus":0.00836755755747122,"score_gpt":0.2518370102798334,"score_spread":0.2434694527223622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412976430","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":[0.93586683,0.00011455062,0.06324336,0.0000151030745,0.0004263389,0.00013909923,0.000014145864,0.000038410562,0.00014218563],"genre_scores_gemma":[0.9955874,0.00003510261,0.004293759,0.0000028301724,0.000031004798,0.0000046633286,0.000011241273,0.00001417448,0.000019828365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990993,0.000010239184,0.00053636555,0.00007065311,0.00018786378,0.00009556625],"domain_scores_gemma":[0.99954313,0.0000708193,0.00014652018,0.00007649545,0.00013598037,0.000027071901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015654943,0.000105084895,0.00021140974,0.0002391357,0.000021198313,0.00000755745,0.00006744556,0.000036452097,0.0000025031284],"category_scores_gemma":[0.000026271768,0.000100372614,0.00007171865,0.00023842884,0.000009141782,0.00020025081,4.875688e-7,0.00017661875,3.792135e-7],"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":[0.00008304511,0.000096626965,0.008817964,0.0001184865,0.00007673087,0.000014031554,0.0017255773,0.97505516,0.0064006723,0.00022346021,0.000014012149,0.007374252],"study_design_scores_gemma":[0.0017194025,0.00055981934,0.9790208,0.00040433762,0.00010648582,0.0000027403078,0.0029581315,0.005819256,0.008920754,0.0002810284,0.000066315246,0.00014092983],"about_ca_topic_score_codex":0.0000011675787,"about_ca_topic_score_gemma":0.000011387352,"teacher_disagreement_score":0.97020286,"about_ca_system_score_codex":0.000043195298,"about_ca_system_score_gemma":0.000022305321,"threshold_uncertainty_score":0.40930763},"labels":[],"label_agreement":null},{"id":"W4413001557","doi":"10.1016/j.mechrescom.2025.104497","title":"Stability analysis of vibrations in a complex moving object equipped with two innovative types of stabilizers: A comparative study","year":2025,"lang":"en","type":"article","venue":"Mechanics Research Communications","topic":"Railway Engineering and Dynamics","field":"Engineering","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":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Vibration; Stability (learning theory); Object (grammar); Mathematics; Computer science; Artificial intelligence; Physics; Acoustics; Machine learning","score_opus":0.1384133723371305,"score_gpt":0.4116646268403039,"score_spread":0.27325125450317345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413001557","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":[0.80431664,0.00023305383,0.18911767,0.00008385848,0.000016419768,0.0011066025,0.00018973011,0.00009877155,0.00483722],"genre_scores_gemma":[0.9914112,0.000043739044,0.008262879,0.0000015771814,0.0000011817466,0.0001691469,0.000089898334,0.000011801883,0.000008586401],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982461,0.000469009,0.00052673067,0.0001754872,0.00034705826,0.00023565028],"domain_scores_gemma":[0.9961148,0.0011718895,0.00005796434,0.0015912456,0.0010297894,0.00003434905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001573039,0.0001263001,0.0004871442,0.0014781083,0.00011416531,0.000024811156,0.00075681566,0.000040932762,0.000020595455],"category_scores_gemma":[0.0002683307,0.00012449226,0.00004791595,0.010882481,0.00014245638,0.000110299334,0.00032926226,0.00049268577,6.4877264e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006896366,0.0012015596,0.008503074,0.00014278095,0.0019549923,5.849463e-7,0.017015543,0.84925264,0.025826255,0.0956921,0.000018015744,0.0003234742],"study_design_scores_gemma":[0.00045056187,0.0001350517,0.0074182204,0.00004848382,0.00008622968,6.157839e-8,0.013686056,0.9761212,0.0010844405,0.0008596194,0.000016187896,0.00009390346],"about_ca_topic_score_codex":0.0006038623,"about_ca_topic_score_gemma":0.017536161,"teacher_disagreement_score":0.18709452,"about_ca_system_score_codex":0.00023867933,"about_ca_system_score_gemma":0.0001946672,"threshold_uncertainty_score":0.97855896},"labels":[],"label_agreement":null},{"id":"W4414027182","doi":"10.1108/ec-04-2024-0266","title":"Strength simulation of metro train bogie frame using edge-based and face-based smoothed finite element method","year":2025,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Railway Engineering and Dynamics","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":"Ministry of Education and Child Care","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Bogie; Finite element method; Structural engineering; Frame (networking); Enhanced Data Rates for GSM Evolution; Face (sociological concept); Engineering; Computer science; Mechanical engineering","score_opus":0.01501291207869556,"score_gpt":0.27602585770736204,"score_spread":0.2610129456286665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414027182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08149007,0.00024266382,0.9171682,0.000031030555,0.00028477056,0.00018749529,0.000062458355,0.0004861767,0.000047124016],"genre_scores_gemma":[0.73645514,0.0000018912307,0.2634144,0.000013322191,0.000019616275,0.000011409568,0.000042761305,0.000035086927,0.00000632854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990207,0.000023789758,0.00037651067,0.00019152922,0.0001430802,0.00024438222],"domain_scores_gemma":[0.9986678,0.00095923065,0.00003995751,0.00020640643,0.000058662466,0.00006793807],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018948164,0.00023677526,0.0002826784,0.0005466641,0.000054235068,0.00003979304,0.00010194644,0.00009894318,0.0000055448045],"category_scores_gemma":[0.00014547457,0.00028174577,0.000080112746,0.00059800234,0.000017693004,0.00006665385,0.000015217421,0.00019174124,7.0146507e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031413808,0.000023622515,0.000104568855,0.00027115823,0.00006926363,8.191007e-7,0.00008346604,0.9946406,0.0017865099,0.0004406766,0.0000066570187,0.002569501],"study_design_scores_gemma":[0.00058069127,0.000023568731,0.0011695919,0.00014667721,0.00006069658,1.8030971e-7,0.00002778725,0.9957899,0.0016425544,0.000078104065,0.00025519275,0.0002250473],"about_ca_topic_score_codex":0.0000086991,"about_ca_topic_score_gemma":0.0000024687988,"teacher_disagreement_score":0.6549651,"about_ca_system_score_codex":0.00012177029,"about_ca_system_score_gemma":0.000054805696,"threshold_uncertainty_score":0.99996346},"labels":[],"label_agreement":null},{"id":"W4415240046","doi":"10.1080/00423114.2025.2573163","title":"Rail profile design optimisation for a broad-gauge heavy haul line","year":2025,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Railway Engineering and Dynamics","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":"National Research Council Canada","funders":"","keywords":"Line (geometry); Railway line; Mathematical model; Rail transportation","score_opus":0.009054526427096777,"score_gpt":0.21267351070319102,"score_spread":0.20361898427609423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415240046","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027313683,0.0003108341,0.96596146,0.00007870519,0.00113727,0.00096607144,0.00020471035,0.0015249676,0.0025022845],"genre_scores_gemma":[0.96197677,0.000022119573,0.03500427,0.000022040915,0.000128223,0.0003493905,0.00022320868,0.00009685241,0.002177113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987321,0.000030480473,0.00042412896,0.00026872545,0.00014367209,0.00040087942],"domain_scores_gemma":[0.9992315,0.0001491817,0.000044802102,0.00038541493,0.00010511081,0.0000839552],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033372387,0.000267289,0.00032426557,0.00020136326,0.00011142202,0.00008254682,0.00021199619,0.00021706946,0.0000030924741],"category_scores_gemma":[0.000044575867,0.000289433,0.00011299631,0.00037967367,0.000020071388,0.000117381525,0.000025626478,0.00016537208,0.000024587378],"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":[0.000036886573,0.000021141648,0.000044648852,0.001258752,0.00007921455,0.0000027622575,0.00006666166,0.97552663,0.0007637118,0.011794916,0.0010523698,0.009352324],"study_design_scores_gemma":[0.000647657,0.000057919213,0.00009017072,0.0002449628,0.000039353305,0.0000066919747,0.00012135073,0.99644005,0.0010338722,0.00013770864,0.0009089679,0.00027129918],"about_ca_topic_score_codex":0.000021412037,"about_ca_topic_score_gemma":0.0000207159,"teacher_disagreement_score":0.9346631,"about_ca_system_score_codex":0.0006037562,"about_ca_system_score_gemma":0.000058048765,"threshold_uncertainty_score":0.9999558},"labels":[],"label_agreement":null},{"id":"W4415991675","doi":"10.3390/vibration8040070","title":"Prediction of Construction-Induced Ground Vibrations Using Field Measurements and Bidirectional Gated Recurrent Unit Neural Network","year":2025,"lang":"en","type":"article","venue":"Vibration","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Terrafix Geosynthetics (Canada); University of Toronto","funders":"Mitacs","keywords":"Vibration; Autoregressive integrated moving average; Ground vibrations; Autoregressive model; Artificial neural network; Field (mathematics); Position (finance); Unit (ring theory)","score_opus":0.03685964601701969,"score_gpt":0.23556365066907856,"score_spread":0.19870400465205887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415991675","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":[0.7554658,0.00011068504,0.24189064,0.000030818173,0.0016145472,0.0001196688,0.00001194133,0.0001771827,0.00057872204],"genre_scores_gemma":[0.99526024,0.000021810574,0.004536698,0.0000102983795,0.00009606706,0.0000056029003,0.000050240855,0.000009011216,0.000010007227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994987,0.000018608916,0.00020542441,0.00009387993,0.00009234109,0.000091000635],"domain_scores_gemma":[0.9997728,0.000035684014,0.000029645862,0.00007783122,0.00006022905,0.000023797273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006927778,0.000085062,0.00009096458,0.00011846806,0.000089601665,0.000029720339,0.000025872612,0.00007451635,0.0000077202985],"category_scores_gemma":[0.000026140118,0.00009775077,0.00002034118,0.00033885817,0.000012767598,0.00019112341,0.000007835232,0.00009032373,3.2128517e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011266415,0.000010383633,0.006320623,0.000057157842,0.00005797831,1.0011299e-7,0.000043372867,0.9339106,0.052909404,0.00083769026,0.00012788242,0.0057135415],"study_design_scores_gemma":[0.00018254294,0.000031793996,0.013898149,0.00006298667,0.000028519778,0.0000036485972,0.000020340272,0.9789782,0.00643547,0.00022976537,0.00006309052,0.000065490036],"about_ca_topic_score_codex":0.000018876031,"about_ca_topic_score_gemma":0.000020751704,"teacher_disagreement_score":0.23979446,"about_ca_system_score_codex":0.000041058716,"about_ca_system_score_gemma":0.000023616301,"threshold_uncertainty_score":0.39861608},"labels":[],"label_agreement":null},{"id":"W4416242390","doi":"10.1007/978-3-032-10762-6_7","title":"Trade-Off Between Interpretability and Accuracy: How Can XAI Build Trust in Track Geometry Predictive Maintenance?","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Interpretability; Support vector machine; Leverage (statistics); Track (disk drive); Artificial neural network; Bridging (networking); Precision and recall; Convolutional neural network","score_opus":0.005900145420449526,"score_gpt":0.20521918689996652,"score_spread":0.19931904147951698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416242390","genre_codex":"methods","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":[0.01271878,0.0009384904,0.9829281,0.00046400863,0.0010733494,0.00039978483,0.00017632564,0.00025818098,0.0010429905],"genre_scores_gemma":[0.9847877,0.00018206028,0.014547172,0.00009215691,0.00021902764,0.00001104004,0.000017862289,0.00004541493,0.00009753691],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978313,0.000015201765,0.00039925252,0.00084786746,0.00033369026,0.0005727156],"domain_scores_gemma":[0.99848753,0.0006819074,0.00006562674,0.0005822196,0.000041215655,0.00014152474],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004351151,0.00052548636,0.00065328804,0.0008184963,0.000058468246,0.00018213823,0.0007416855,0.00042738055,0.000004038314],"category_scores_gemma":[0.000244354,0.0005139283,0.000088790315,0.00052125024,0.0004267902,0.00021808759,0.00022767493,0.0013772019,6.6929795e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008010648,0.000009808972,0.0037859518,0.00030197724,0.000033883935,0.000029323646,0.0010258767,0.43849668,0.000027418228,0.00029945894,0.000028640246,0.55595297],"study_design_scores_gemma":[0.0002750187,0.00007691501,0.011936622,0.0009093108,0.000019585174,0.000014206824,0.0000013829042,0.978619,0.00015039301,0.0067750826,0.0006461421,0.0005763779],"about_ca_topic_score_codex":0.000018960456,"about_ca_topic_score_gemma":0.00014568404,"teacher_disagreement_score":0.97206897,"about_ca_system_score_codex":0.0005616636,"about_ca_system_score_gemma":0.00014252694,"threshold_uncertainty_score":0.99973124},"labels":[],"label_agreement":null},{"id":"W4416335804","doi":"10.18280/isi.300901","title":"Enhancing Railway Safety in Indonesia: A Data-Driven Approach to Track Irregularity Detection using In-Service Train Accelerometers","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accelerometer; Track (disk drive); Track-before-detect; Acceleration; Noise (video)","score_opus":0.020884213226850117,"score_gpt":0.23671849424592692,"score_spread":0.2158342810190768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416335804","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":[0.511995,0.0001167249,0.48431093,0.000019883377,0.0007242309,0.00091666274,0.000085180254,0.00019790255,0.0016334708],"genre_scores_gemma":[0.9771765,0.00006427471,0.021995567,0.000112672155,0.00007163562,0.000097498785,0.00041228076,0.00005987343,0.000009728618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995479,0.00016997449,0.0023211641,0.00057638605,0.0004302563,0.0010232208],"domain_scores_gemma":[0.99810714,0.00016562741,0.00027584008,0.0010633013,0.0001950272,0.00019306234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017647854,0.0006954392,0.00090600055,0.002721504,0.00025303604,0.00053988147,0.00091268,0.00067259494,0.0000056556373],"category_scores_gemma":[0.0003604761,0.00088990666,0.00011056749,0.00527613,0.000065242784,0.0057043713,0.00035530087,0.00097067864,0.000021883381],"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":[0.0001337252,0.00007539941,0.0013393201,0.0032132708,0.00009143398,0.0000033266615,0.01196381,0.92166924,0.0024559835,0.00023191972,0.0000033269694,0.05881922],"study_design_scores_gemma":[0.0013727883,0.000037264217,0.05934076,0.0016570948,0.000060782804,0.000027084547,0.0029619506,0.93266284,0.0008664288,0.00010137004,0.0002066439,0.00070497295],"about_ca_topic_score_codex":0.0010251692,"about_ca_topic_score_gemma":0.0019030705,"teacher_disagreement_score":0.46518144,"about_ca_system_score_codex":0.0032462573,"about_ca_system_score_gemma":0.00027422459,"threshold_uncertainty_score":0.99935514},"labels":[],"label_agreement":null},{"id":"W4416557395","doi":"10.1177/09544097251400530","title":"A review of thermal railway wheel modelling – Applicability and limitations","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","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":"Iron Ore Company (Canada)","funders":"","keywords":"Heat transfer; Finite element method; Thermal; Field (mathematics); Range (aeronautics); Service life; Thermal analysis","score_opus":0.01313098756002653,"score_gpt":0.20211402879422377,"score_spread":0.18898304123419724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416557395","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":[0.47007734,0.0688785,0.45574373,0.0016390812,0.00084386294,0.00063056743,0.000041681556,0.00007921465,0.0020660264],"genre_scores_gemma":[0.9691067,0.026601886,0.0042218934,0.00002522226,0.000024691495,0.0000039023116,5.143973e-7,0.000008648716,0.0000065812496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989478,0.000005699922,0.000662982,0.00008957765,0.00018083084,0.00011309278],"domain_scores_gemma":[0.9993586,0.00008775677,0.00015127122,0.000071737464,0.00026748108,0.00006316808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005765699,0.00013776156,0.00043208365,0.0001138686,0.000035174577,0.0000063461925,0.00016402842,0.00009013373,0.0000018909608],"category_scores_gemma":[0.00013066971,0.00010132693,0.00016520279,0.0002795203,0.00011645637,0.00014728222,0.000017853157,0.00025022213,4.6956867e-8],"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":[0.00012063085,0.00013672019,0.000038716244,0.025625627,0.00048866955,4.809192e-7,0.00050184294,0.81134695,0.08583906,0.057058904,0.00032039653,0.018522032],"study_design_scores_gemma":[0.0024886315,0.0003386633,0.00030542942,0.02423276,0.0009257129,0.00007943151,0.00029854834,0.89112043,0.06898308,0.0025599177,0.00821705,0.0004503652],"about_ca_topic_score_codex":0.0000011429596,"about_ca_topic_score_gemma":2.4007346e-7,"teacher_disagreement_score":0.49902934,"about_ca_system_score_codex":0.00001810931,"about_ca_system_score_gemma":0.000035260622,"threshold_uncertainty_score":0.41319925},"labels":[],"label_agreement":null},{"id":"W4416570658","doi":"10.1007/978-3-031-95421-4_3","title":"Traffic Considerations for Ontario Highway Bridge Design CodeA Historical Account","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brampton Civic Hospital","funders":"","keywords":"Truck; Allowance (engineering); Bridge (graph theory); Deflection (physics); Design load; Structural load","score_opus":0.0192973831563478,"score_gpt":0.19864422545898125,"score_spread":0.17934684230263345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416570658","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004995243,0.002531717,0.9834106,0.00008883928,0.0029764483,0.00075319223,0.00011067647,0.0012624527,0.008816139],"genre_scores_gemma":[0.7852475,0.00076383416,0.16140883,0.00026957388,0.002235857,0.0008348609,0.000515201,0.0015119495,0.04721238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795395,0.0000059303047,0.0006492941,0.0005204198,0.0002788129,0.0005916107],"domain_scores_gemma":[0.9978078,0.0014342912,0.000054094253,0.0005026242,0.00008009971,0.000121068726],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018972573,0.00082243385,0.0008483564,0.0006453118,0.00006730892,0.00008641136,0.00023069725,0.0009060452,0.00009669649],"category_scores_gemma":[0.000286379,0.0009772924,0.00027194293,0.000104155726,0.00001716315,0.0000836509,0.00003385936,0.0013122539,0.0000063583225],"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":[0.000008180925,0.0000093441195,0.0000021804767,0.00040864208,0.00011374086,0.000029248391,0.00023579753,0.9910316,0.00009822034,0.0031996155,0.0029662591,0.0018971965],"study_design_scores_gemma":[0.00050659647,0.000046789388,0.000026244617,0.00066370657,0.00012103113,0.000026565061,2.1111832e-7,0.90337324,0.000112370144,0.0030154944,0.090997405,0.0011103378],"about_ca_topic_score_codex":0.000110232846,"about_ca_topic_score_gemma":0.011369744,"teacher_disagreement_score":0.82200176,"about_ca_system_score_codex":0.0037041702,"about_ca_system_score_gemma":0.00024669647,"threshold_uncertainty_score":0.99926776},"labels":[],"label_agreement":null},{"id":"W4416570697","doi":"10.1007/978-3-031-95421-4_25","title":"Bridge Analysis Section of the 1979 Ontario Highway Bridge Design Code, a Personal Account","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bridge (graph theory); Section (typography); Simple (philosophy); Code (set theory); Beam bridge","score_opus":0.010827596396050618,"score_gpt":0.18974981679264166,"score_spread":0.17892222039659106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416570697","genre_codex":"methods","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":[0.0018619422,0.001604096,0.98325,0.000028564711,0.002259989,0.00043472217,0.00021629281,0.0005345249,0.009809868],"genre_scores_gemma":[0.9913627,0.00015837493,0.0020745064,0.000029997114,0.0003607113,0.000037143556,0.000103207094,0.00020104153,0.0056723505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99798495,0.000013014238,0.0006220215,0.00047597612,0.00042940225,0.00047465056],"domain_scores_gemma":[0.9987268,0.00037038082,0.00010591712,0.0006441459,0.00007770159,0.00007508384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023958842,0.0007435113,0.0009201643,0.00095745834,0.00004968653,0.000053606662,0.00044188768,0.0007506906,0.00010367855],"category_scores_gemma":[0.000093474235,0.00070866756,0.00057907356,0.000616257,0.00003771552,0.00007862024,0.00008754893,0.0016749825,0.0000033608849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009321322,0.000008085276,0.00026573247,0.00036731703,0.0009008778,0.000010503695,0.00048938126,0.9962576,0.0003339483,0.0003140497,0.00018549082,0.00085771456],"study_design_scores_gemma":[0.00029171078,0.000026158263,0.008922774,0.0007739789,0.000755184,0.000014969237,5.2817984e-7,0.97850776,0.0003969004,0.00021762242,0.009270307,0.00082210463],"about_ca_topic_score_codex":0.0011642872,"about_ca_topic_score_gemma":0.051426724,"teacher_disagreement_score":0.9895007,"about_ca_system_score_codex":0.0011816362,"about_ca_system_score_gemma":0.0001588206,"threshold_uncertainty_score":0.99953645},"labels":[],"label_agreement":null},{"id":"W4416726276","doi":"10.1109/igarss55030.2025.11243732","title":"Depth Estimation of Channels Based on Total Station Point Clouds","year":2025,"lang":"","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Xihua University","keywords":"Channel (broadcasting); Point cloud; Position (finance); Overhead (engineering); Point (geometry); Orientation (vector space); Cloud computing","score_opus":0.005798835656286232,"score_gpt":0.22172809517636854,"score_spread":0.21592925952008232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416726276","genre_codex":"methods","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":[0.07042097,0.00007313352,0.90829146,0.00016143368,0.0020430295,0.000250568,0.000035749214,0.00023743205,0.018486198],"genre_scores_gemma":[0.98299456,0.000015159418,0.015731083,0.000040793948,0.0000421555,0.000014423561,0.00007613174,0.000034168082,0.0010515032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987635,0.000022755363,0.0004948623,0.0002263743,0.00022018411,0.00027234195],"domain_scores_gemma":[0.99931854,0.00014611645,0.000056191137,0.00033755696,0.00007435716,0.00006723801],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020754916,0.0002645707,0.0002849801,0.00036489384,0.000041625524,0.000044274242,0.00009803345,0.00016993735,0.00008373757],"category_scores_gemma":[0.00011791791,0.0002926985,0.000111846406,0.0004944868,0.000023017528,0.00011582129,0.000017158827,0.00019636651,0.000024032233],"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":[0.000035053632,0.000072058894,0.00002660269,0.00053470454,0.000046945006,0.0000012054777,0.00014228374,0.9643712,0.0004913392,0.011991148,0.0002692089,0.02201822],"study_design_scores_gemma":[0.00065344357,0.00016202593,0.0017721808,0.00038831233,0.000045388,6.2020484e-7,0.000053085005,0.98900926,0.007209348,0.00044589041,0.00003345998,0.00022700909],"about_ca_topic_score_codex":0.000051649113,"about_ca_topic_score_gemma":0.0000057918173,"teacher_disagreement_score":0.91257364,"about_ca_system_score_codex":0.0001850793,"about_ca_system_score_gemma":0.000081418446,"threshold_uncertainty_score":0.9999525},"labels":[],"label_agreement":null},{"id":"W4416748659","doi":"10.1109/jsen.2025.3635515","title":"Monitoring Carbon Slide Wear in Metro Train Current Collector Shoes Using 3-D Point Cloud Data","year":2025,"lang":"","type":"article","venue":"IEEE Sensors Journal","topic":"Railway Engineering and Dynamics","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":false,"ca_institutions":"University of Manitoba","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Point cloud; Train; Reliability (semiconductor); Enhanced Data Rates for GSM Evolution; Line (geometry); Current (fluid); Traction (geology); Point (geometry); Plane (geometry)","score_opus":0.03873972425492813,"score_gpt":0.2976701816825476,"score_spread":0.2589304574276195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416748659","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":[0.93404394,0.013621887,0.018601414,0.00010534043,0.032763094,0.0002877818,0.0001179692,0.0001401933,0.00031837187],"genre_scores_gemma":[0.98586357,0.0041298983,0.006253376,0.0000064176133,0.0034144474,0.0000028902887,0.0000056165222,0.00015131799,0.00017244287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955277,0.0002570623,0.001554825,0.00068284845,0.0006365273,0.0013410697],"domain_scores_gemma":[0.99787396,0.0003233461,0.00022010173,0.0010423964,0.00013032471,0.00040985356],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015360863,0.0007642871,0.00097634067,0.0015210299,0.00028142033,0.00048673482,0.0010151113,0.00034285654,0.000022606018],"category_scores_gemma":[0.0004138288,0.0008649741,0.00024905495,0.0016640554,0.000069852686,0.00040464953,0.000173239,0.0029301448,0.0000058326577],"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":[0.0000661057,0.00010608337,0.004489808,0.00035130544,0.0003355203,0.00034174474,0.00091022614,0.9706579,0.016940754,0.000011939244,0.00028491335,0.0055036973],"study_design_scores_gemma":[0.0014450675,0.00004802868,0.0013485362,0.003109382,0.00024233047,0.0001776077,0.001032469,0.98588437,0.004865171,0.00009225358,0.000987349,0.0007674566],"about_ca_topic_score_codex":0.00015177185,"about_ca_topic_score_gemma":0.00006899764,"teacher_disagreement_score":0.051819645,"about_ca_system_score_codex":0.0018224953,"about_ca_system_score_gemma":0.0004476249,"threshold_uncertainty_score":0.9993801},"labels":[],"label_agreement":null},{"id":"W4416798013","doi":"10.1109/ojits.2025.3638660","title":"An Autonomous Drone-Based Framework for Real-Time Railway Monitoring Using YOLO-Based Defect Detection","year":2025,"lang":"","type":"article","venue":"IEEE Open Journal of Intelligent Transportation Systems","topic":"Railway Engineering and Dynamics","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":"Carleton University","funders":"","keywords":"Object detection; Set (abstract data type); Controller (irrigation); Visual inspection; Latency (audio); Bounding overwatch; Train; Object (grammar); Stack (abstract data type)","score_opus":0.026792228498532102,"score_gpt":0.3064518123529279,"score_spread":0.2796595838543958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416798013","genre_codex":"methods","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":[0.31344712,0.00074153766,0.67537504,0.000013323901,0.008998202,0.0011824097,0.00010903954,0.000096595606,0.0000366992],"genre_scores_gemma":[0.95710546,0.0001238032,0.04173409,0.000009624995,0.00067077926,0.0000773377,0.000037092996,0.0001705435,0.00007127181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99524105,0.00021190404,0.0028445355,0.00050890207,0.00054254173,0.0006510802],"domain_scores_gemma":[0.9963834,0.00068105914,0.0010507375,0.0005769359,0.00093745766,0.00037039517],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020224107,0.00069093186,0.0012692699,0.0010043689,0.00033092525,0.0007911307,0.00094228284,0.00062768336,0.000021918519],"category_scores_gemma":[0.00008326234,0.0007644988,0.0007563944,0.00086105487,0.000052714735,0.0007978012,0.000003641203,0.0007582245,0.000007753692],"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":[0.0006356376,0.00017974516,0.0010075864,0.001296507,0.0005755756,0.000031165913,0.00058485515,0.9375273,0.054081682,0.0002530709,0.000008417074,0.0038184335],"study_design_scores_gemma":[0.0013238378,0.0007057477,0.0005472833,0.005570753,0.0007517669,0.0000129510945,0.0006760046,0.8728325,0.11662239,0.000087251996,0.00024695275,0.00062261533],"about_ca_topic_score_codex":0.00036676263,"about_ca_topic_score_gemma":0.00003265279,"teacher_disagreement_score":0.64365834,"about_ca_system_score_codex":0.0011431988,"about_ca_system_score_gemma":0.000748575,"threshold_uncertainty_score":0.9994806},"labels":[],"label_agreement":null},{"id":"W4416905278","doi":"10.12700/aph.23.1.2026.1.2","title":"Study on the Dynamic Properties of a Long freight Wagon, from a Safety Point of View, when Running on a Track","year":2025,"lang":"","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Agentúra na Podporu Výskumu a Vývoja; Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky","keywords":"Track (disk drive); Point (geometry); Track-before-detect; Multi point","score_opus":0.012634706993877863,"score_gpt":0.22032279025577245,"score_spread":0.20768808326189458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416905278","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":[0.9692942,0.004517331,0.011616358,0.002072356,0.0008511714,0.0029809363,0.00024919768,0.0006192417,0.0077992356],"genre_scores_gemma":[0.998102,0.00046403077,0.00062986877,0.00010222606,0.000045713296,0.00012980863,0.000014316265,0.00013971378,0.00037234227],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99587566,0.00017682315,0.0017153145,0.00079443766,0.0007077438,0.00073002727],"domain_scores_gemma":[0.9962194,0.0007456858,0.00039274176,0.0023827748,0.00013863972,0.000120754004],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007407457,0.0008478763,0.0013421759,0.0005492443,0.00024164576,0.0000772236,0.0014354972,0.00043249535,0.00007981676],"category_scores_gemma":[0.00039323964,0.00064887194,0.00044108185,0.00096475036,0.0002384744,0.00014072064,0.00036173518,0.0015088714,0.000014516223],"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":[0.005347769,0.014103076,0.0045581986,0.0039442074,0.013684976,0.00021946558,0.06014426,0.28329974,0.52031744,0.011785515,0.0035979324,0.07899743],"study_design_scores_gemma":[0.00644543,0.0060101915,0.18224092,0.01955153,0.0030402727,0.000019024465,0.009636795,0.6740346,0.09103878,0.0015009058,0.002799939,0.0036816008],"about_ca_topic_score_codex":0.00035650763,"about_ca_topic_score_gemma":0.00009191072,"teacher_disagreement_score":0.42927864,"about_ca_system_score_codex":0.000399078,"about_ca_system_score_gemma":0.00017013095,"threshold_uncertainty_score":0.99959624},"labels":[],"label_agreement":null},{"id":"W4417408651","doi":"10.1139/cgj-2025-0423","title":"Forecasting ballast performance under fast heavy-haul trains using an analytical-machine learning track (AMLT) model","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council","keywords":"Ballast; Subgrade; Train; Track (disk drive); Axle; Limiting; Breakage; Acceleration; Axle load","score_opus":0.026295190252131995,"score_gpt":0.2311842785422457,"score_spread":0.2048890882901137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417408651","genre_codex":"methods","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":[0.43807486,0.00021235501,0.5593701,0.0001679542,0.00026878438,0.000085775704,0.000027197302,0.00028853706,0.0015044659],"genre_scores_gemma":[0.99518716,0.00007008193,0.0041003837,0.00015222946,0.00015290026,0.000002508634,0.000015278707,0.00007118896,0.00024824706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816805,0.000027456657,0.0004859964,0.00024245294,0.00020717726,0.0008688523],"domain_scores_gemma":[0.9986958,0.00004202149,0.00004197548,0.00023796275,0.00008083682,0.00090139604],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040726713,0.00030185923,0.0003294915,0.00056091417,0.0004644531,0.00019729728,0.0003498845,0.00027821166,0.000033192056],"category_scores_gemma":[0.00008214198,0.00032207972,0.00013898038,0.000514829,0.000066958055,0.00030333304,0.000024080462,0.0017619638,0.0000043029563],"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":[0.000005392432,0.000010796652,0.00011620488,0.000033953853,0.000043112545,0.000037534428,0.00004522204,0.9894396,0.00017987135,0.0002576766,0.00007137647,0.009759259],"study_design_scores_gemma":[0.00027538868,0.000046135774,0.0002611569,0.00016022469,0.00004535836,0.0003439404,0.000056465193,0.9972124,0.000027343938,0.00015645548,0.0010852162,0.0003298748],"about_ca_topic_score_codex":0.00062705367,"about_ca_topic_score_gemma":0.0030557294,"teacher_disagreement_score":0.55711234,"about_ca_system_score_codex":0.0009073297,"about_ca_system_score_gemma":0.00045461147,"threshold_uncertainty_score":0.9999231},"labels":[],"label_agreement":null},{"id":"W4417408663","doi":"10.1139/cgj-2025-0792","title":"The effect of recycled rubber energy-absorbing grids on the cyclic shear response of ballast","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council","keywords":"Ballast; Dissipation; Interlocking; Shear (geology); Breakage; Natural rubber; Service life; Direct shear test","score_opus":0.002931505783801336,"score_gpt":0.18538845621869693,"score_spread":0.1824569504348956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417408663","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":[0.9669128,0.0031555844,0.020294655,0.0044850577,0.0019463174,0.0002136798,0.000039372215,0.00017269581,0.0027798205],"genre_scores_gemma":[0.9993088,0.00026065225,0.00003985471,0.00009342181,0.00006327977,0.0000076365295,7.272692e-7,0.000024851559,0.00020076297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988507,0.00016756546,0.00037134287,0.00009268798,0.00017066048,0.00034702118],"domain_scores_gemma":[0.99775535,0.0015822725,0.000047791156,0.0003682723,0.000047976857,0.00019834863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001233454,0.00015484456,0.00023979224,0.00023635104,0.00016956472,0.000036112182,0.00041823063,0.00015075118,0.000009920609],"category_scores_gemma":[0.0007414806,0.00009444569,0.00015648341,0.0003719737,0.00011176725,0.000028281105,0.00002000851,0.00056388206,0.0000020052476],"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":[0.00032874395,0.0000060705315,0.00009088351,0.00005745754,0.0002906469,0.000050266404,0.000045085977,0.944789,0.007454462,0.009537472,0.013062526,0.024287386],"study_design_scores_gemma":[0.0015081996,0.000947822,0.006460078,0.0018882855,0.00018105803,0.00030418628,0.00013097357,0.823942,0.030091053,0.0030156316,0.13086359,0.0006671286],"about_ca_topic_score_codex":0.0005692669,"about_ca_topic_score_gemma":0.0006528732,"teacher_disagreement_score":0.12084701,"about_ca_system_score_codex":0.00029614495,"about_ca_system_score_gemma":0.00014794244,"threshold_uncertainty_score":0.38513836},"labels":[],"label_agreement":null},{"id":"W4417453116","doi":"10.1061/jsdccc.sceng-1902","title":"Evaluation of Moving Vehicle Dynamic Effects on Short- and Medium-Span Highway Bridges Using Weigh-in-Motion Data","year":2025,"lang":"en","type":"article","venue":"Journal of structural design and construction practice.","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Bridge (graph theory); Suspension (topology); Parametric statistics; Axle; Vehicle dynamics; Scope (computer science); Span (engineering); Set (abstract data type)","score_opus":0.023443344677950256,"score_gpt":0.2918621364118599,"score_spread":0.2684187917339096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417453116","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":[0.91993695,0.0021965313,0.076323114,0.0000966648,0.0012217916,0.00014580673,0.000003869146,0.000021759524,0.000053530723],"genre_scores_gemma":[0.98214877,0.0003522943,0.017420307,0.000012828924,0.000049754497,8.3693595e-7,0.0000030558358,0.000010746239,0.0000013866346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988472,0.00017669669,0.00039000675,0.00013434236,0.00033892045,0.00011286921],"domain_scores_gemma":[0.99904865,0.0003906437,0.00015656781,0.0001491177,0.00020965948,0.000045384168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012041635,0.00013087424,0.00022615789,0.00030200198,0.000036935606,0.000039555995,0.00009196207,0.00008578653,0.0000045329016],"category_scores_gemma":[0.0004868608,0.00012045618,0.000021048369,0.00014402927,0.0000493109,0.000841286,0.00002487307,0.00027500975,1.0422978e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016388563,0.000012486439,0.0020037682,0.00027411722,0.00026176614,0.000014078489,0.00016329557,0.5417548,0.06929416,0.00080992014,0.0000237694,0.38522395],"study_design_scores_gemma":[0.0006653927,0.00006277301,0.026538251,0.000263882,0.0002916923,0.00033558515,0.00017243814,0.9677778,0.0030067312,0.0007643612,0.000020204994,0.00010091724],"about_ca_topic_score_codex":0.000008610276,"about_ca_topic_score_gemma":0.000002503081,"teacher_disagreement_score":0.42602298,"about_ca_system_score_codex":0.00022889805,"about_ca_system_score_gemma":0.00009037949,"threshold_uncertainty_score":0.49120605},"labels":[],"label_agreement":null},{"id":"W4417508745","doi":"10.1109/tim.2025.3644563","title":"RMSDNet: A Lightweight Object Detection Network for Rail Surface Defect","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Advanced Metallurgy; Beijing Jiaotong University","keywords":"Object detection; Feature extraction; Convolution (computer science); Redundancy (engineering); Feature (linguistics); Block (permutation group theory); Process (computing); Surface (topology); Noise (video)","score_opus":0.015088897781034593,"score_gpt":0.2247886983003282,"score_spread":0.2096998005192936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417508745","genre_codex":"methods","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":[0.043124862,0.0010287026,0.9459837,0.00016915685,0.0071382816,0.0013591899,0.00009133788,0.00030872252,0.0007960604],"genre_scores_gemma":[0.9936721,0.0011563502,0.0040064882,0.00011929199,0.00011291446,0.00026856668,0.000010655918,0.00006736813,0.0005863133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977608,0.00007605611,0.0006362657,0.00052459387,0.00044866302,0.00055364985],"domain_scores_gemma":[0.999145,0.000106130225,0.00008690493,0.0002992637,0.00019380865,0.00016892426],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00063445384,0.0004980014,0.00039280351,0.0002776845,0.0006157435,0.00017766368,0.00010709328,0.0002653519,0.00003437745],"category_scores_gemma":[0.000010339197,0.00056762795,0.0003078635,0.00058281363,0.0000486327,0.00020862598,0.0000012698106,0.00037448917,0.000013336723],"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":[0.00026053056,0.00012419035,0.000017387385,0.00051802624,0.0007065675,7.235807e-7,0.00033477155,0.8154202,0.012253082,0.00017936816,0.00023996449,0.1699452],"study_design_scores_gemma":[0.00659676,0.00089449505,0.00079899427,0.0011984559,0.0012792399,0.000015238815,0.00044792925,0.7755733,0.19859804,0.00041876346,0.013054797,0.00112397],"about_ca_topic_score_codex":0.00005079854,"about_ca_topic_score_gemma":0.0004143071,"teacher_disagreement_score":0.9505472,"about_ca_system_score_codex":0.0008545027,"about_ca_system_score_gemma":0.00012364717,"threshold_uncertainty_score":0.99967754},"labels":[],"label_agreement":null},{"id":"W566361038","doi":"10.1115/imece2001/rtd-25719","title":"Curving Analysis of Modified Designs of Passenger Railway Vehicle Trucks","year":2001,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","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":"Concordia University","funders":"","keywords":"Truck; Automotive engineering; Engineering; Commercial vehicle; Track (disk drive); Software package; Software; Vehicle dynamics; Transient (computer programming); Computer science; Mechanical engineering","score_opus":0.017090857026566885,"score_gpt":0.22076150965950722,"score_spread":0.20367065263294035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W566361038","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":[0.68783855,0.000093772825,0.30209002,0.0000089873965,0.00006866866,0.00003896599,0.000008548863,0.00017047758,0.009682034],"genre_scores_gemma":[0.99676406,0.00007073525,0.0028379632,0.0000050374315,0.000015664586,0.000003425972,0.000009440109,0.000023505609,0.00027015677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992492,0.000010532088,0.00030800933,0.0001073942,0.00014001202,0.00018480945],"domain_scores_gemma":[0.99949336,0.00008855551,0.00003274126,0.00027945905,0.0000508236,0.00005504702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001222066,0.00012097447,0.00033428695,0.00034280788,0.000012477542,0.000006906276,0.0001252662,0.000076193515,0.00011072462],"category_scores_gemma":[0.000024737212,0.000117287855,0.0001541685,0.00095556583,0.000018997534,0.000067267065,0.000013636933,0.000080668055,0.0000029883777],"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":[0.000004433271,0.000017165718,0.0037586836,0.000032873082,0.00046673272,0.0000019447727,0.00013430395,0.96139246,0.031507302,0.0009850635,0.000047298534,0.0016517609],"study_design_scores_gemma":[0.00015213215,0.000014675377,0.013773859,0.000009245884,0.00020934724,7.965471e-7,0.00004372178,0.9800282,0.005505022,0.00004938835,0.00008501201,0.00012858168],"about_ca_topic_score_codex":0.0000480067,"about_ca_topic_score_gemma":0.00003333985,"teacher_disagreement_score":0.30892554,"about_ca_system_score_codex":0.000023559363,"about_ca_system_score_gemma":0.0000061944497,"threshold_uncertainty_score":0.47828597},"labels":[],"label_agreement":null},{"id":"W582689893","doi":"","title":"RAILROAD M/W BUDGETS TRENDING UPWARD","year":2004,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Engineering; Transport engineering; Rail transportation; Rail network; Railway system; Capital (architecture); Geography; Archaeology","score_opus":0.005503907434748711,"score_gpt":0.19967180056788433,"score_spread":0.19416789313313562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W582689893","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":[0.9827554,0.0020689461,0.007779389,0.00005741374,0.00075417105,0.000085760614,0.00003137715,0.0008023765,0.0056651677],"genre_scores_gemma":[0.9956543,0.00027931549,0.0036983883,0.000027035894,0.0001646476,0.0000055934456,0.000016618376,0.000047319678,0.00010676714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991463,0.000005665546,0.00018513581,0.00020200704,0.00012901657,0.00033189644],"domain_scores_gemma":[0.99963063,0.000024033658,0.000015760708,0.00017744473,0.000012786654,0.00013934387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050749804,0.00024218403,0.00021725867,0.00011713298,0.000092901435,0.000072345305,0.00010876531,0.00012695603,0.000027216249],"category_scores_gemma":[0.000015699874,0.00022296389,0.000063586194,0.00012464552,0.000046459834,0.00012157756,0.000015568261,0.00022127684,0.00001030913],"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":[0.000016811871,0.000014740612,0.00039405984,0.00020979106,0.00013024137,0.00005147877,0.001634542,0.88089544,0.011017099,0.028711881,0.0005164329,0.0764075],"study_design_scores_gemma":[0.016277922,0.000824056,0.35032943,0.0006366788,0.00047845553,0.0018126885,0.0016408018,0.20413883,0.07872202,0.22028895,0.11626399,0.008586177],"about_ca_topic_score_codex":0.0000107647575,"about_ca_topic_score_gemma":0.000015831118,"teacher_disagreement_score":0.6767566,"about_ca_system_score_codex":0.000046584177,"about_ca_system_score_gemma":0.000009994065,"threshold_uncertainty_score":0.9092204},"labels":[],"label_agreement":null},{"id":"W582820139","doi":"","title":"RAIL GRINDING ON AMTRAK'S MIXED-TRAFFIC NEC","year":2003,"lang":"en","type":"article","venue":"International Railway Journal and Rapid Transit Review","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grinding; Track (disk drive); Transport engineering; Possession (linguistics); Rail traffic; Engineering; Work (physics); Light rail; Environmental science; Automotive engineering; Mechanical engineering; Public transport","score_opus":0.0084314145979672,"score_gpt":0.214795559971369,"score_spread":0.2063641453734018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W582820139","genre_codex":"review","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":[0.29004112,0.5523479,0.058744386,0.0048576556,0.016040184,0.00092487363,0.000109319546,0.00096313807,0.075971425],"genre_scores_gemma":[0.6582724,0.33928153,0.0011156036,0.00044702474,0.00032463603,0.000012278205,0.00001398598,0.000060166032,0.00047238826],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872935,0.00004486013,0.00044480021,0.0001754998,0.00033471722,0.00027079647],"domain_scores_gemma":[0.9994794,0.0000781814,0.000052279098,0.00012070373,0.00007146539,0.00019796523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046045458,0.0002598947,0.00032103126,0.00016992255,0.00010369058,0.00010078076,0.00019686138,0.000074044816,0.0002883014],"category_scores_gemma":[0.000057380024,0.00021520795,0.00020081582,0.00015459633,0.000028833254,0.00017541241,0.0000048001148,0.0005209196,0.000052872543],"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":[0.000030580242,0.0001858069,0.00024300316,0.0030610182,0.0011557452,0.00038582677,0.0004394297,0.3563134,0.00229451,0.018530874,0.014904815,0.602455],"study_design_scores_gemma":[0.0013913502,0.00013666268,0.0012263749,0.006761062,0.00015945562,0.0033298943,0.0000458338,0.014653092,0.00039777838,0.0003311965,0.97073436,0.0008329345],"about_ca_topic_score_codex":3.693848e-7,"about_ca_topic_score_gemma":0.00000191931,"teacher_disagreement_score":0.95582956,"about_ca_system_score_codex":0.00006999882,"about_ca_system_score_gemma":0.000020183601,"threshold_uncertainty_score":0.87759256},"labels":[],"label_agreement":null},{"id":"W586314892","doi":"","title":"Tubular track offers continuous rail support at a competitive price","year":2005,"lang":"en","type":"article","venue":"Railway gazette international","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ballast; Track (disk drive); Subgrade; Engineering; Precast concrete; Structural engineering; Stiffness; Bogie; Railway line; Geotechnical engineering; Civil engineering; Mechanical engineering; Electrical engineering","score_opus":0.0047970161107751255,"score_gpt":0.1991851886087507,"score_spread":0.19438817249797558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W586314892","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":[0.766529,0.00022262639,0.021737408,0.0018714989,0.0030744385,0.00033315772,0.00035941534,0.0015897196,0.2042827],"genre_scores_gemma":[0.98642725,0.000078884965,0.0025467153,0.00035832802,0.0007266323,0.000031391308,0.00024757517,0.000083351886,0.009499879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853635,0.000013983982,0.00036794075,0.0002784388,0.000409269,0.00039399473],"domain_scores_gemma":[0.9993811,0.0000896442,0.00004819728,0.0002318078,0.000102014565,0.00014723878],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015603387,0.00028007204,0.00024743623,0.00017324211,0.00005397801,0.000064994034,0.00036032306,0.00012473552,0.0016710887],"category_scores_gemma":[0.000046242072,0.00030971455,0.00014298284,0.00011616255,0.00005366049,0.00023203515,0.000059126123,0.00027556342,0.0010533452],"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":[0.00014927433,0.00030818555,0.0047901743,0.00013779267,0.0012736958,0.0002841311,0.0027392637,0.7993921,0.042517498,0.015530896,0.10442612,0.028450863],"study_design_scores_gemma":[0.0011644486,0.00004072495,0.005750322,0.000041285526,0.000022741593,0.00015993649,0.000063230545,0.25769463,0.00560045,0.00003754407,0.7288933,0.00053143484],"about_ca_topic_score_codex":0.0000035431306,"about_ca_topic_score_gemma":0.000017269515,"teacher_disagreement_score":0.62446713,"about_ca_system_score_codex":0.00046004672,"about_ca_system_score_gemma":0.00002173888,"threshold_uncertainty_score":0.9999355},"labels":[],"label_agreement":null},{"id":"W589673212","doi":"","title":"RAIL GRINDING ON CN","year":2000,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grinding; Work (physics); Track (disk drive); Engineering; Third rail; Center (category theory); Automotive engineering; Component (thermodynamics); Transport engineering; Manufacturing engineering; Forensic engineering; Mechanical engineering","score_opus":0.0051791017835881884,"score_gpt":0.19114103484202155,"score_spread":0.18596193305843337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W589673212","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":[0.97260886,0.00050871685,0.0002575298,0.000025946993,0.0002999143,0.00006717873,0.000023125582,0.00048698563,0.025721757],"genre_scores_gemma":[0.99792206,0.00032320648,0.00060581695,0.00004858723,0.0001789466,0.000004505236,0.000011941227,0.000039726416,0.0008652002],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928665,0.0000073658985,0.00014280085,0.00017613606,0.00011881131,0.00026824747],"domain_scores_gemma":[0.99967164,0.00003835118,0.000008006492,0.00017062084,0.000006490434,0.00010488429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004262179,0.00020204332,0.00016761967,0.00007415964,0.000083590625,0.000059596117,0.00009225797,0.000105341736,0.00035247137],"category_scores_gemma":[0.000006902092,0.0001799383,0.0000467142,0.00009090164,0.000029610028,0.00007176046,0.000004935155,0.00021836028,0.000037336176],"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":[0.00003515843,0.000012861024,0.00057942723,0.00012328595,0.00007951016,0.000028940145,0.0008971628,0.6356388,0.0020230452,0.008293134,0.0023822826,0.34990638],"study_design_scores_gemma":[0.0038995964,0.00050262106,0.31472805,0.00025200628,0.00012093004,0.00037601267,0.00030715764,0.3673479,0.010549702,0.01715363,0.28141168,0.003350698],"about_ca_topic_score_codex":0.000003135181,"about_ca_topic_score_gemma":0.0000060752873,"teacher_disagreement_score":0.34655568,"about_ca_system_score_codex":0.000019838108,"about_ca_system_score_gemma":0.000003825329,"threshold_uncertainty_score":0.7337671},"labels":[],"label_agreement":null},{"id":"W590300591","doi":"","title":"THEORETICAL ANALYSIS OF UNEVEN RAIL WEAR ON CURVES","year":2000,"lang":"en","type":"article","venue":"Rail engineering international","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bogie; Tread; Service life; Engineering; Automotive engineering; Transport engineering; Structural engineering; Forensic engineering; Mechanical engineering; Materials science; Composite material","score_opus":0.0026946929524844596,"score_gpt":0.18936364971252506,"score_spread":0.1866689567600406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W590300591","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":[0.8364226,0.0010335186,0.07129359,0.00059318,0.0023089715,0.00027747743,0.0005756891,0.0020584636,0.0854365],"genre_scores_gemma":[0.99770397,0.00040439743,0.0011206866,0.000042657142,0.00010323825,0.00001279788,0.00011737315,0.000045729415,0.0004491735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989725,0.0000068640743,0.0003028889,0.00017006583,0.00033308336,0.00021461444],"domain_scores_gemma":[0.99951315,0.000110397115,0.000017980366,0.00024168026,0.00003710173,0.0000796799],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001276313,0.00019559263,0.00027851356,0.0003977959,0.00001242164,0.00001827259,0.00028377338,0.00008013986,0.0029843946],"category_scores_gemma":[0.00005667544,0.00020450777,0.00019743909,0.00048883463,0.00003513906,0.00007529588,0.000013150694,0.00019669194,0.00006182296],"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":[0.000008083158,0.000023652437,0.00009052703,0.000046822945,0.0008010669,0.0000040731907,0.000052695796,0.96868885,0.0006057988,0.02753727,0.00035871947,0.0017824433],"study_design_scores_gemma":[0.00017977176,0.000021384554,0.00429049,0.00012632426,0.00012403184,0.0000035247715,0.0000031236236,0.9892674,0.0004902439,0.00006277372,0.0052240887,0.0002068055],"about_ca_topic_score_codex":0.0000035185344,"about_ca_topic_score_gemma":9.985315e-7,"teacher_disagreement_score":0.16128135,"about_ca_system_score_codex":0.00007351567,"about_ca_system_score_gemma":0.000007581235,"threshold_uncertainty_score":0.997927},"labels":[],"label_agreement":null},{"id":"W598638581","doi":"","title":"FINDING THE RIGHT PROFILE","year":2000,"lang":"en","type":"article","venue":"Railway age","topic":"Railway Engineering and Dynamics","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":"","keywords":"Grinding; Transport engineering; Engineering; Rail transit; Transit (satellite); State (computer science); Business; Computer science; Public transport; Mechanical engineering","score_opus":0.005637887687681734,"score_gpt":0.19118183573282072,"score_spread":0.185543948045139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W598638581","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":[0.5370919,0.0006114513,0.00455647,0.00015089156,0.0007455805,0.00026927568,0.000040853614,0.0017062256,0.45482734],"genre_scores_gemma":[0.98288184,0.00008215551,0.0009012519,0.0000461394,0.0002069246,0.000027552787,0.000021930886,0.00004824104,0.015783984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993714,0.000009718975,0.00012745793,0.000110244524,0.00010971219,0.0002714367],"domain_scores_gemma":[0.9996135,0.000047273654,0.0000068154973,0.00027493585,0.0000055630862,0.00005189855],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000098050055,0.00013473038,0.00010734055,0.000033976863,0.0000915287,0.00004939437,0.00019217313,0.00006280661,0.0016647967],"category_scores_gemma":[0.0000075978505,0.00009727836,0.000057144574,0.00016656675,0.00002566083,0.000070521826,0.000008623927,0.00019811004,0.0008211188],"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":[0.000009404504,0.000032838714,0.000113887676,0.00012034591,0.00011010695,0.00017081469,0.0014496509,0.8508812,0.0041977335,0.005281466,0.041196536,0.09643597],"study_design_scores_gemma":[0.00028840944,0.00002037307,0.002705752,0.000041063926,0.000018505722,0.000033287422,0.000025046042,0.44032308,0.001877527,0.00038542767,0.5538703,0.0004111982],"about_ca_topic_score_codex":0.0000035919652,"about_ca_topic_score_gemma":0.00000556603,"teacher_disagreement_score":0.5126738,"about_ca_system_score_codex":0.00003434556,"about_ca_system_score_gemma":0.0000048054526,"threshold_uncertainty_score":0.99995685},"labels":[],"label_agreement":null},{"id":"W600304392","doi":"","title":"TORONTO SQUEEZES IN NEW SUBWAY LINE","year":2004,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Engineering; Revenue; Work (physics); Welding; Transport engineering; Line (geometry); Railway line; Marine engineering; Telecommunications; Civil engineering; Mechanical engineering; Finance; Business","score_opus":0.005396170028798989,"score_gpt":0.2042606349895375,"score_spread":0.1988644649607385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W600304392","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":[0.9833502,0.005917674,0.0064774225,0.000071914576,0.00049005216,0.00010396397,0.000015074515,0.00037933266,0.0031943775],"genre_scores_gemma":[0.9955145,0.0005752142,0.0034359195,0.000026516738,0.00021804128,0.0000024109754,0.000011478884,0.000033639248,0.00018229207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999292,0.0000044298345,0.00018328862,0.00016421384,0.00009553988,0.00026053685],"domain_scores_gemma":[0.9996859,0.000019051864,0.000010765479,0.00014911151,0.000008281135,0.00012688857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004014702,0.00019310821,0.00019279229,0.000051423165,0.000028369579,0.000042339423,0.00009264302,0.00012259158,0.000044530207],"category_scores_gemma":[0.000014056101,0.00017828327,0.000037351936,0.00007798857,0.000020733218,0.00014866481,0.00001099503,0.00016122879,0.0000034692528],"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":[0.000019318735,0.000012915367,0.0005139472,0.00010527608,0.000032916385,0.000026189467,0.0016843136,0.9368925,0.00398628,0.018325828,0.00035447878,0.038046014],"study_design_scores_gemma":[0.017504308,0.00087416027,0.48568878,0.0005693971,0.00015003594,0.0004465881,0.0014620475,0.222168,0.038309537,0.16395357,0.06332926,0.0055443197],"about_ca_topic_score_codex":0.0004680007,"about_ca_topic_score_gemma":0.0030565688,"teacher_disagreement_score":0.71472454,"about_ca_system_score_codex":0.00008666289,"about_ca_system_score_gemma":0.00002676295,"threshold_uncertainty_score":0.7270181},"labels":[],"label_agreement":null},{"id":"W603537473","doi":"","title":"Performance Measures from Track Geometry Cars: In-Service Evaluation of a Dynamic Response L/V Predictor","year":2007,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track geometry; Track (disk drive); Global Positioning System; Phase (matter); Geometry; Service (business); Geodesy; Computer science; Engineering; Geography; Mathematics; Mechanical engineering; Physics; Telecommunications; Business","score_opus":0.013815196330052421,"score_gpt":0.23381330506391884,"score_spread":0.2199981087338664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W603537473","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":[0.98481965,0.00040858702,0.013074638,0.000009816542,0.00025330478,0.00014306366,0.000024550889,0.00020439166,0.0010619843],"genre_scores_gemma":[0.9981468,0.000037214653,0.0016976363,0.000008577979,0.000023934517,0.00000810995,0.000020805837,0.000028697828,0.0000282458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988689,0.00002858627,0.00032073943,0.00013165786,0.00043519365,0.00021492117],"domain_scores_gemma":[0.99940157,0.00015252564,0.000023366625,0.0002471247,0.00012263551,0.000052758518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017395531,0.0001296096,0.00015879833,0.00028205273,0.000011086947,0.000007728009,0.0001262691,0.00011041585,0.000035400106],"category_scores_gemma":[0.000109245164,0.00013317875,0.000030648258,0.00048403253,0.000010554308,0.00012412088,0.000010583401,0.00014173954,0.000012229684],"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":[0.00013103972,0.00002420141,0.0050745714,0.00005924233,0.00003266075,0.0000014270389,0.000655976,0.9379057,0.025202563,0.0000050325057,0.000014726538,0.030892853],"study_design_scores_gemma":[0.00036749168,0.000017144714,0.3534621,0.000040466115,0.000015775462,9.263722e-7,0.00008227599,0.6442743,0.0016051825,0.000012178649,0.000038550297,0.000083613886],"about_ca_topic_score_codex":0.0000826359,"about_ca_topic_score_gemma":0.0005755605,"teacher_disagreement_score":0.3483875,"about_ca_system_score_codex":0.00022273438,"about_ca_system_score_gemma":0.000035045035,"threshold_uncertainty_score":0.5430872},"labels":[],"label_agreement":null},{"id":"W605725848","doi":"10.21949/1526923","title":"Control of Wheel/Rail Noise and Vibration","year":2013,"lang":"en","type":"article","venue":"ROSA P","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tread; Noise (video); Automotive engineering; Grind; Noise control; Engineering; Structural engineering; Grinding; Vibration; Stiffness; Surface finish; Mechanical engineering; Noise reduction; Acoustics; Computer science; Materials science; Physics","score_opus":0.002513450927797449,"score_gpt":0.15554639822937952,"score_spread":0.15303294730158207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W605725848","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":[0.84162885,0.0002710128,0.15663156,0.0000502366,0.00014919465,0.000092032955,0.000018801376,0.00017001624,0.0009882908],"genre_scores_gemma":[0.99898,0.000019913377,0.00088167965,0.000011046176,0.000027302465,0.000007763064,0.000005283573,0.000011019614,0.000056007593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977016,0.0000022854542,0.00007655694,0.000041399893,0.00003803685,0.00007153937],"domain_scores_gemma":[0.9998622,0.00001609899,0.000007415722,0.00007086538,0.000013388473,0.000030048894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000021688013,0.00005003558,0.00007200265,0.000018054945,0.000007998992,0.000012906338,0.000024141662,0.00003270755,0.000020058565],"category_scores_gemma":[0.0000083273335,0.00004880402,0.000012428,0.00003220584,0.000008299879,0.00008225061,0.000003431238,0.000036468624,0.000017906206],"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":[0.000005005883,0.000021430422,0.003359638,0.0002786885,0.00006368065,0.0000014688674,0.00042092867,0.641727,0.3258938,0.0044869417,0.0033287413,0.020412728],"study_design_scores_gemma":[0.00023689037,0.000013701325,0.011769041,0.0000095946725,0.0000048665706,0.0000015123752,0.000008757838,0.9852316,0.0018219168,0.00011279978,0.00071996043,0.000069403475],"about_ca_topic_score_codex":0.000009919735,"about_ca_topic_score_gemma":0.0000015679349,"teacher_disagreement_score":0.3435046,"about_ca_system_score_codex":0.0000064120736,"about_ca_system_score_gemma":0.0000019671993,"threshold_uncertainty_score":0.19901702},"labels":[],"label_agreement":null},{"id":"W606681681","doi":"","title":"PERFORMANCE MEASURES FROM TRACK GEOMETRY CARS: A VEHICLE DYNAMIC RESPONSE PREDICTOR","year":2002,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track geometry; Track (disk drive); Derailment; Suspension (topology); Engineering; Instrumentation (computer programming); Automotive engineering; Computer science; Mechanical engineering; Mathematics","score_opus":0.008018466358743346,"score_gpt":0.17547515280927625,"score_spread":0.1674566864505329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W606681681","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":[0.9870735,0.0009425845,0.007895398,0.000035278037,0.0003899711,0.0000785786,0.00006427217,0.0012762968,0.0022441098],"genre_scores_gemma":[0.9968123,0.00026708364,0.001358369,0.000020501553,0.00006378901,0.00001331038,0.00001094656,0.000058666614,0.0013950584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990688,0.000017053464,0.00020699385,0.000181419,0.00021469229,0.00031105417],"domain_scores_gemma":[0.9994143,0.000098277465,0.000012038018,0.0003369166,0.000022893404,0.000115535266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012476002,0.00019061197,0.0001691844,0.00013173997,0.000042258565,0.000037620674,0.00017689375,0.00011773377,0.00027202658],"category_scores_gemma":[0.00004609589,0.00018767509,0.000059784146,0.00024238335,0.000022311002,0.00016579166,0.000015292524,0.00021004817,0.00027499252],"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":[0.00007824202,0.000060449485,0.0038669514,0.00006873816,0.00014470202,0.000021721164,0.000939813,0.91148245,0.029976355,0.000013671065,0.0031270953,0.05021981],"study_design_scores_gemma":[0.00030105014,0.000041158717,0.03921978,0.000025029502,0.000012390955,0.0000044752605,0.000029708572,0.9561343,0.00072080374,0.000006402661,0.0032958454,0.00020901124],"about_ca_topic_score_codex":0.000014002081,"about_ca_topic_score_gemma":0.000011593409,"teacher_disagreement_score":0.0500108,"about_ca_system_score_codex":0.00011129169,"about_ca_system_score_gemma":0.0000050381072,"threshold_uncertainty_score":0.7653168},"labels":[],"label_agreement":null},{"id":"W607240472","doi":"","title":"Rotated-Ellipse Arch Pedestrian Bridge for the Calgary West Light Rail Transit Extension Project","year":2014,"lang":"fr","type":"article","venue":"Transportation 2014: Past, Present, Future - 2014 Conference and Exhibition of the Transportation Association of Canada // Transport 2014 : Du passé vers l'avenir - 2014 Congrès et Exposition de 'Association des transports du Canada","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Catenary; Arch; Ellipse; Engineering; Span (engineering); Bridge (graph theory); Structural engineering; Pedestrian; Civil engineering; Geometry","score_opus":0.007376947056635122,"score_gpt":0.19872050814484293,"score_spread":0.19134356108820783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W607240472","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":[0.5325728,0.0039366023,0.32062116,0.096451804,0.0113711925,0.0074156006,0.026106175,0.0004955662,0.0010291163],"genre_scores_gemma":[0.98215437,0.007931694,0.000739748,0.0005996495,0.0009864938,0.0003316117,0.0054875542,0.00020213115,0.0015667495],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99180716,0.0006002936,0.0027564005,0.0010520783,0.0023566287,0.0014274429],"domain_scores_gemma":[0.99281573,0.0011778137,0.0022952713,0.00075592217,0.002386784,0.0005685015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024664865,0.0011664382,0.001474817,0.0002925169,0.0008731524,0.00013577439,0.00067102525,0.0009897487,0.0003826539],"category_scores_gemma":[0.000082483224,0.0011390934,0.00080404524,0.00056517875,0.00025527633,0.0010788108,0.0000050700287,0.0010577064,0.0000035454395],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015363304,0.0006491887,0.23954193,0.0058292286,0.0026967474,0.000068175636,0.01576537,0.31107172,0.0039432263,0.016195836,0.3993302,0.0033720508],"study_design_scores_gemma":[0.006034284,0.00030957445,0.72830707,0.00081246335,0.0027962138,0.00001465823,0.0010835183,0.016441522,0.0029209314,0.00052108295,0.23915091,0.0016077887],"about_ca_topic_score_codex":0.6496186,"about_ca_topic_score_gemma":0.97119725,"teacher_disagreement_score":0.48876512,"about_ca_system_score_codex":0.0023515685,"about_ca_system_score_gemma":0.004256124,"threshold_uncertainty_score":0.99910593},"labels":[],"label_agreement":null},{"id":"W616051664","doi":"","title":"Doremus Avenue Bridge Replacement","year":2005,"lang":"en","type":"article","venue":"Bridges Conversations in Global Politics and Public Policy","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Engineering; Span (engineering); Girder; Civil engineering; Relocation; Building code; Structural engineering; Construction engineering; Forensic engineering; Computer science","score_opus":0.010883043447372679,"score_gpt":0.24172314447977408,"score_spread":0.2308401010324014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W616051664","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":[0.95006686,0.0007478873,0.008164468,0.006216948,0.00046151673,0.00022435865,0.00078621524,0.00047600403,0.03285574],"genre_scores_gemma":[0.99822706,0.00027633904,0.00052592263,0.00037799953,0.00036404215,0.00000852188,0.00005415643,0.000017561082,0.00014838982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899596,0.000013190691,0.00023501266,0.00015615067,0.00012084262,0.00047885109],"domain_scores_gemma":[0.9994873,0.000026961561,0.000019744939,0.00022971243,0.00003275993,0.00020354416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009316896,0.00015548093,0.00013915563,0.00019205264,0.000057389047,0.00009826031,0.00011778534,0.000082740204,0.000009459759],"category_scores_gemma":[0.00009456864,0.00018583534,0.00003536166,0.00030485503,0.00006539833,0.00016130254,0.000039199884,0.00011339039,0.000027688084],"study_design_candidate":"theoretical_or_conceptual","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":[0.0000029798853,0.00006438385,0.023420064,0.0000797409,0.000059436006,0.000005648518,0.00045567393,0.055339575,0.00001263752,0.8892296,0.007210198,0.024120092],"study_design_scores_gemma":[0.0010500491,0.000033265154,0.22449869,0.00003066031,0.000014451662,0.000077812234,0.00011884008,0.5711237,0.000025142566,0.0033883594,0.19915347,0.00048555102],"about_ca_topic_score_codex":0.001138064,"about_ca_topic_score_gemma":0.00021777053,"teacher_disagreement_score":0.8858412,"about_ca_system_score_codex":0.00058331375,"about_ca_system_score_gemma":0.0001074087,"threshold_uncertainty_score":0.75781447},"labels":[],"label_agreement":null},{"id":"W616748409","doi":"","title":"Tackling Tehachapi: Experiments and analyses from the California mountains to the Quebec iron ore fields are quantifying the benefits of friction management","year":2005,"lang":"en","type":"article","venue":"Railway age","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Train; Freight trains; Track (disk drive); Engineering; Revenue; Automotive engineering; Schedule; Marine engineering; Transport engineering; Mechanical engineering; Computer science; Business","score_opus":0.029950418117883886,"score_gpt":0.26573816164452035,"score_spread":0.23578774352663648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W616748409","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":[0.97051525,0.0025927415,0.024961887,0.0007336374,0.0002270945,0.0002742297,0.00008025019,0.00012982059,0.00048507587],"genre_scores_gemma":[0.99812496,0.00029695025,0.0009453619,0.00015508874,0.00020703743,0.000034308763,0.000020131443,0.000029335964,0.00018682236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991746,0.000024873189,0.00022613784,0.00016917531,0.00019290685,0.00021229706],"domain_scores_gemma":[0.9993816,0.00011647479,0.00004390434,0.00039816764,0.000016722433,0.0000431059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015258056,0.00017854103,0.00015591035,0.000049216418,0.0001906201,0.00007854528,0.0002581909,0.00006559221,0.00001464971],"category_scores_gemma":[0.000016798278,0.0001006091,0.000060445273,0.0001868652,0.000024926072,0.0000676859,0.0000769114,0.0001795372,0.000015610318],"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":[0.0000062313884,0.000012487691,0.0005881255,0.00002985363,0.000096475436,0.0000023415867,0.0028969436,0.9824782,0.0012565742,0.00040508955,0.00067552715,0.011552165],"study_design_scores_gemma":[0.0006738081,0.000046031524,0.08764448,0.0003725163,0.0002732868,0.0000052676396,0.00946633,0.85087556,0.006820742,0.00006934038,0.04309867,0.0006539685],"about_ca_topic_score_codex":0.0011740433,"about_ca_topic_score_gemma":0.0051583336,"teacher_disagreement_score":0.13160263,"about_ca_system_score_codex":0.000066310095,"about_ca_system_score_gemma":0.00000317992,"threshold_uncertainty_score":0.41027197},"labels":[],"label_agreement":null},{"id":"W617262326","doi":"","title":"Developed Wheel and Axle Assembly Monitoring System to Improve Passenger Train Safety","year":2000,"lang":"en","type":"article","venue":"Research Results","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Train; Axle; Automotive engineering; Engineering; Derailment; Accelerometer; Track (disk drive); Ride quality; Computer science; Mechanical engineering","score_opus":0.027936452126275463,"score_gpt":0.2947040923320824,"score_spread":0.2667676402058069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W617262326","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":[0.9623019,0.00038320592,0.0019557104,0.00021754495,0.00038927418,0.0005138163,0.00014918855,0.0007867156,0.033302605],"genre_scores_gemma":[0.99325854,0.00029361207,0.0031436344,0.0000024856477,0.0003112497,0.00005560528,0.0000114345785,0.00006652798,0.0028569023],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980017,0.00007019715,0.00033684875,0.0003478032,0.00049209525,0.0007513519],"domain_scores_gemma":[0.9988726,0.00026223186,0.000009151664,0.00038021719,0.0001059414,0.00036987173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013015962,0.00019136665,0.00021827024,0.00021628324,0.00015399454,0.00014089883,0.00021838119,0.00013567244,0.0000054031757],"category_scores_gemma":[0.00018929398,0.0001888917,0.000033388438,0.00050490437,0.000025465972,0.00013151084,0.00004767075,0.00047775157,0.00016396744],"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":[0.0006753415,0.000058880993,0.00019917656,0.0012393038,0.00019701441,0.00024140424,0.0034914364,0.28222576,0.08237367,0.00079461094,0.0048777475,0.62362564],"study_design_scores_gemma":[0.003215016,0.00034029086,0.03735487,0.0010640894,0.000015712087,0.00005532965,0.0010877079,0.8161776,0.014097661,0.000025932799,0.12534213,0.0012236708],"about_ca_topic_score_codex":0.00006576143,"about_ca_topic_score_gemma":0.000016069114,"teacher_disagreement_score":0.62240195,"about_ca_system_score_codex":0.0003110096,"about_ca_system_score_gemma":0.00004581471,"threshold_uncertainty_score":0.770278},"labels":[],"label_agreement":null},{"id":"W623743356","doi":"","title":"CPR'S LONG-TERM STRATEGY PAYS OFF","year":2001,"lang":"en","type":"article","venue":"International railway journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flange; Bogie; Engineering; Automotive engineering; Axle; Monorail; Structural engineering; Forensic engineering","score_opus":0.01078495692520495,"score_gpt":0.2387659299700723,"score_spread":0.22798097304486734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W623743356","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":[0.8363187,0.0015910224,0.104261175,0.00033165514,0.0053025833,0.00007426324,0.000027866734,0.0004415882,0.051651195],"genre_scores_gemma":[0.9937389,0.002144077,0.00047468048,0.000045195404,0.0012950593,0.000004224081,0.000024664012,0.000051711697,0.002221483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988343,0.0000111909,0.00034109276,0.00012548936,0.00038122473,0.00030667373],"domain_scores_gemma":[0.9994758,0.000039349437,0.00004946151,0.00013634916,0.00012142701,0.00017766538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016196033,0.00019163438,0.00014467996,0.00021316376,0.0000680209,0.0002140666,0.0003929389,0.00008929,0.00078530377],"category_scores_gemma":[0.000032568103,0.00018504492,0.00012338134,0.00011569486,0.000023696657,0.00032310083,0.00002363615,0.00046896818,0.00019147016],"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":[0.000034665707,0.000073079085,0.02379494,0.000017673461,0.00037743623,0.0009332785,0.0001308585,0.8229921,0.0026125433,0.0019513234,0.0060124123,0.1410697],"study_design_scores_gemma":[0.0027820384,0.00017960035,0.20525053,0.0002894616,0.00006216952,0.014129745,0.00009428433,0.6214423,0.00076703454,0.002355481,0.15131298,0.0013343353],"about_ca_topic_score_codex":0.0000016648522,"about_ca_topic_score_gemma":0.000011072587,"teacher_disagreement_score":0.20154977,"about_ca_system_score_codex":0.00020834628,"about_ca_system_score_gemma":0.000027742708,"threshold_uncertainty_score":0.85985255},"labels":[],"label_agreement":null},{"id":"W624952588","doi":"","title":"Wheel RCF issues in coal operations in Australia and the USA","year":2014,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tread; Disc brake; Brake; Slip (aerodynamics); Groove (engineering); Tribology; Engineering; Automotive engineering; Forensic engineering; Mechanical engineering; Materials science; Composite material","score_opus":0.009719824461719831,"score_gpt":0.23496302811652495,"score_spread":0.2252432036548051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W624952588","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":[0.9822875,0.000046632453,0.014602987,0.0002067841,0.000106039355,0.00006681295,0.000001240429,0.00005892639,0.0026230488],"genre_scores_gemma":[0.9972734,0.000034731478,0.0014413175,0.000016519854,0.000026507818,0.000009734758,0.0000017820954,0.00000690972,0.0011891173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971384,0.000010343901,0.00009176401,0.000053065818,0.000033553944,0.000097421536],"domain_scores_gemma":[0.9998619,0.000031878324,0.0000015641489,0.00008341305,0.0000034209877,0.000017818034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012892774,0.000057229896,0.00007891754,0.000042561667,0.000010855388,0.00002965632,0.000045899593,0.00003278919,0.000024891879],"category_scores_gemma":[0.000018511939,0.00004102553,0.00000831694,0.000061025567,0.000020193953,0.000051889732,0.000008050916,0.000091673406,0.000018343568],"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":[0.0000012212413,0.0000030928306,0.006098012,0.000008580624,0.000002157275,4.849967e-7,0.000250742,0.96633196,0.0001035793,0.026875379,0.00018270113,0.00014209199],"study_design_scores_gemma":[0.000393035,0.000004160957,0.035117954,0.000008436385,0.0000011319636,0.0000013775121,0.000025333098,0.9628322,0.000049877926,0.0001791991,0.0013231217,0.00006413381],"about_ca_topic_score_codex":0.0011346577,"about_ca_topic_score_gemma":0.0089187855,"teacher_disagreement_score":0.02901994,"about_ca_system_score_codex":0.000011392976,"about_ca_system_score_gemma":0.0000014166569,"threshold_uncertainty_score":0.4976892},"labels":[],"label_agreement":null},{"id":"W629272284","doi":"","title":"Optimizing Winter Speed Restrictions","year":2008,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Train; Breakage; Track (disk drive); Limiting; Engineering; Metre; Automotive engineering; Stress (linguistics); Transport engineering; Structural engineering; Marine engineering; Forensic engineering; Environmental science; Computer science; Mechanical engineering","score_opus":0.010257108244492722,"score_gpt":0.2034677155180617,"score_spread":0.19321060727356898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W629272284","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":[0.9828632,0.0011420402,0.007390946,0.000028965012,0.0005453738,0.00006679628,0.000018541627,0.0005914696,0.007352658],"genre_scores_gemma":[0.99380374,0.00051353965,0.005096983,0.000019659517,0.0001636192,0.0000019447893,0.000009344788,0.000033247536,0.00035790144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993867,0.0000059833037,0.00014942337,0.0001444307,0.00009254651,0.0002208742],"domain_scores_gemma":[0.9996926,0.000029612074,0.000011256765,0.00015299606,0.000015727594,0.00009781368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023984456,0.00016406627,0.00015190414,0.000098801924,0.00012989776,0.000029416782,0.00007591624,0.00009032253,0.00003475272],"category_scores_gemma":[0.000011882594,0.00015216232,0.000049506907,0.00011466301,0.000050718725,0.00010014911,0.000011755231,0.00020117869,0.00000690573],"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":[0.0000152524335,0.000012942076,0.001970896,0.00008668887,0.00011702151,0.0000769088,0.0024377038,0.9723905,0.008446283,0.0025049231,0.005993503,0.005947378],"study_design_scores_gemma":[0.0021528378,0.00018338133,0.26446304,0.000085053885,0.000101143436,0.001678685,0.00046715664,0.6680963,0.007179256,0.0032448324,0.050426394,0.001921927],"about_ca_topic_score_codex":0.000006508513,"about_ca_topic_score_gemma":0.000004701324,"teacher_disagreement_score":0.3042942,"about_ca_system_score_codex":0.000019604704,"about_ca_system_score_gemma":0.0000069998277,"threshold_uncertainty_score":0.6204999},"labels":[],"label_agreement":null},{"id":"W635679595","doi":"","title":"CPR is Ready to Extend 100% Effective Friction Management","year":2006,"lang":"en","type":"article","venue":"Railway gazette international","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Train; Gauge (firearms); Railway line; Engineering; Face (sociological concept); Transport engineering; Line (geometry); Freight trains; Automotive engineering; Realm; Geography","score_opus":0.0038260866209372784,"score_gpt":0.21008946004569087,"score_spread":0.2062633734247536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W635679595","genre_codex":"methods","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":[0.29688758,0.0001813773,0.40568855,0.0010398133,0.0060880487,0.00074848614,0.00023101718,0.0016427331,0.2874924],"genre_scores_gemma":[0.9871469,0.000030103425,0.0051618544,0.00023038463,0.0007023119,0.00012547147,0.00014001006,0.000064896776,0.0063980254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.998955,0.000008432746,0.00022740543,0.00024576223,0.00031293152,0.00025046623],"domain_scores_gemma":[0.99961793,0.000034226654,0.000022374965,0.00019932957,0.000059116708,0.00006703463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009681768,0.0001985148,0.00012726043,0.00027839004,0.000042053573,0.00007848089,0.00021070689,0.000070476504,0.00015883376],"category_scores_gemma":[0.0000074395725,0.00021931603,0.00006949223,0.00018378663,0.000010718973,0.00014618662,0.000040510073,0.00014062038,0.00057896477],"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":[0.000030207273,0.0000884429,0.0008524303,0.000067912464,0.0003249773,0.000057008714,0.00020990985,0.8170692,0.0063084825,0.019884976,0.11827836,0.03682812],"study_design_scores_gemma":[0.0009097971,0.000067213885,0.07053336,0.00010370413,0.00004529356,0.00003671087,0.00003758396,0.38879687,0.004633593,0.0016341585,0.5324802,0.00072153955],"about_ca_topic_score_codex":0.000038932463,"about_ca_topic_score_gemma":0.000012053655,"teacher_disagreement_score":0.6902594,"about_ca_system_score_codex":0.00027405546,"about_ca_system_score_gemma":0.000002997487,"threshold_uncertainty_score":0.8943448},"labels":[],"label_agreement":null},{"id":"W636886358","doi":"","title":"Field Evaluation of Improved Rail Welding Methods","year":2014,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thermite; Welding; Overlay; Engineering; Service (business); Revenue; Forensic engineering; Metallurgy; Mechanical engineering; Materials science; Computer science","score_opus":0.011703784339297387,"score_gpt":0.2772672841267549,"score_spread":0.2655634997874575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W636886358","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":[0.815555,0.0010351313,0.17770533,0.000025683792,0.00059641496,0.00012130774,0.000005993977,0.00017938195,0.0047757933],"genre_scores_gemma":[0.9718304,0.000047421105,0.027958803,0.000015933902,0.00009366792,0.000006065205,0.0000051829174,0.00002036898,0.000022144292],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993271,0.00005318598,0.00019390445,0.00013042548,0.0001418694,0.00015351389],"domain_scores_gemma":[0.9995224,0.00017069044,0.00002790351,0.00017199463,0.000052485786,0.000054557346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000579485,0.00013563894,0.00019339248,0.00007607095,0.00003635005,0.00002215517,0.00007765684,0.00011127705,0.000041765965],"category_scores_gemma":[0.00020117189,0.00012223009,0.000045962315,0.00007874041,0.000020177851,0.00006372161,0.000011194016,0.0001345945,4.820526e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014053355,0.0000050938,0.0002114566,0.00020845374,0.00007170461,1.8042961e-7,0.00061591604,0.20273358,0.06507449,0.00372919,0.00020674316,0.72712916],"study_design_scores_gemma":[0.00042245493,0.000060511305,0.005189492,0.00001630146,0.000056761197,0.0000051897264,0.000042172403,0.9489902,0.037351333,0.0063466323,0.001342057,0.00017686302],"about_ca_topic_score_codex":0.000008704989,"about_ca_topic_score_gemma":0.000006358154,"teacher_disagreement_score":0.74625665,"about_ca_system_score_codex":0.000013921114,"about_ca_system_score_gemma":0.000007865918,"threshold_uncertainty_score":0.49843985},"labels":[],"label_agreement":null},{"id":"W641843976","doi":"","title":"North American railways combat split wheel rims","year":2014,"lang":"en","type":"article","venue":"International railway journal","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tread; Flange; Axle; Structural engineering; Engineering; Residual; Residual stress; Track (disk drive); Forensic engineering; Mechanical engineering; Materials science; Computer science; Natural rubber","score_opus":0.004771945664219432,"score_gpt":0.2003867768252877,"score_spread":0.19561483116106826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W641843976","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":[0.76339936,0.0001220401,0.20829141,0.0004129103,0.004395431,0.0000705067,0.000042988468,0.0004894937,0.022775842],"genre_scores_gemma":[0.99285316,0.00019024115,0.0047947383,0.00016101511,0.0013057243,0.0000066654425,0.000034203942,0.00007342687,0.0005808168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846363,0.000027551145,0.00042784296,0.00018027824,0.0005067039,0.00039401936],"domain_scores_gemma":[0.9991524,0.000104749015,0.00010272942,0.00022220165,0.00015407176,0.00026380713],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022647619,0.00026026505,0.0002592207,0.00027328843,0.00010262916,0.00021910293,0.0005698224,0.000050963612,0.00015254124],"category_scores_gemma":[0.00011012429,0.0002544355,0.0001619772,0.0002121205,0.000075226635,0.00026223238,0.000043374712,0.00060210284,0.00024126745],"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":[0.00003578387,0.000074672076,0.02590513,0.0000263334,0.00039298122,0.00005178798,0.00030492237,0.79073465,0.0011052171,0.005501035,0.015364138,0.16050337],"study_design_scores_gemma":[0.0009004846,0.00010979837,0.07141093,0.000049048558,0.000025623576,0.0005680419,0.00007452661,0.75312936,0.00026855103,0.00063049054,0.17226258,0.0005705924],"about_ca_topic_score_codex":0.000011677754,"about_ca_topic_score_gemma":0.000070115595,"teacher_disagreement_score":0.22945379,"about_ca_system_score_codex":0.00018877734,"about_ca_system_score_gemma":0.000022515034,"threshold_uncertainty_score":0.99999076},"labels":[],"label_agreement":null},{"id":"W650016533","doi":"","title":"ADVANCES IN RAIL GRINDING","year":2002,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grinding; Engineering; Forensic engineering; Automotive engineering; Metallurgy; Materials science; Mechanical engineering","score_opus":0.006105650957702301,"score_gpt":0.1941824522057261,"score_spread":0.1880768012480238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W650016533","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":[0.96135443,0.01663499,0.0013632451,0.00002685964,0.0005053424,0.00008753732,0.000012759069,0.00037170426,0.019643102],"genre_scores_gemma":[0.9950297,0.0038519439,0.00087874895,0.000012475891,0.00008423397,0.000005165146,0.000003309682,0.000024965893,0.000109479435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993578,0.0000065399895,0.0001546906,0.00014591157,0.000086866785,0.00024819764],"domain_scores_gemma":[0.999771,0.00003590487,0.000010735001,0.00011018009,0.00000583382,0.00006634172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003837336,0.0001578313,0.00016253834,0.00011723353,0.00003884078,0.00003617807,0.000077540266,0.00008096412,0.000076139586],"category_scores_gemma":[0.000013627814,0.00014733958,0.000028301414,0.00013416147,0.000027370837,0.00018706318,0.000008869656,0.00018834835,0.000006678394],"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":[0.00000847361,0.000017201135,0.0108706495,0.00034269548,0.000025105275,0.000050215178,0.002044553,0.5856011,0.0018323539,0.009537982,0.0006451773,0.38902453],"study_design_scores_gemma":[0.0018623777,0.00008597399,0.12566757,0.0001309261,0.000022658724,0.00014418062,0.00034193942,0.7916671,0.0013829146,0.0093953,0.067988835,0.0013101893],"about_ca_topic_score_codex":0.0000022276677,"about_ca_topic_score_gemma":0.000031265758,"teacher_disagreement_score":0.38771433,"about_ca_system_score_codex":0.000020563892,"about_ca_system_score_gemma":0.0000011847625,"threshold_uncertainty_score":0.6008334},"labels":[],"label_agreement":null},{"id":"W652308383","doi":"","title":"High-Performance Steel Employed in Load-Bearing Bridge Components","year":2006,"lang":"en","type":"article","venue":"Civil engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Weldability; Bridge (graph theory); Engineering; Structural engineering; Girder; Welding; Metallurgy; Materials science; Mechanical engineering","score_opus":0.006629909371759106,"score_gpt":0.1698839210636684,"score_spread":0.16325401169190928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W652308383","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":[0.97586596,0.000401168,0.019487616,0.0000064706387,0.00094298954,0.00013184358,0.000011539476,0.0013651768,0.00178724],"genre_scores_gemma":[0.9979489,0.00005428708,0.0014411659,0.0000052028377,0.00022071932,0.000032026943,0.00003615143,0.0001339917,0.00012755673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844354,0.0000051134493,0.0004049099,0.00025123463,0.00026617563,0.0006290351],"domain_scores_gemma":[0.9994949,0.00004254492,0.000021167223,0.0003268348,0.000026488182,0.00008805052],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001570559,0.00034031863,0.0003276308,0.00026800236,0.000033761076,0.00005370497,0.00023333679,0.00013211009,0.000012172694],"category_scores_gemma":[0.00001592328,0.00041608702,0.000056482386,0.00042379156,0.00001388898,0.0002461944,0.000044840075,0.00038719937,0.000054135395],"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":[0.0000029249377,0.000018231563,0.0042643114,0.00018891953,0.0000145008,0.000019753517,0.000042301286,0.9732907,0.021355364,0.0002897865,0.00014665555,0.0003665728],"study_design_scores_gemma":[0.00046494382,0.000010822203,0.2682026,0.00014141983,0.0000054970624,0.000010654411,0.0000017050911,0.7278196,0.0020732589,0.00001211035,0.00087738404,0.000379992],"about_ca_topic_score_codex":0.00017433405,"about_ca_topic_score_gemma":0.00015365856,"teacher_disagreement_score":0.26393828,"about_ca_system_score_codex":0.00037757444,"about_ca_system_score_gemma":0.000014086386,"threshold_uncertainty_score":0.9998291},"labels":[],"label_agreement":null},{"id":"W654371297","doi":"","title":"Assessing the Potential of a Technology to Map the Subgrade Stiffness Under the Rail Tracks","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Railway Engineering and Dynamics","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":"","keywords":"Subgrade; Deflection (physics); Stiffness; Track (disk drive); Geotechnical engineering; Terrain; Engineering; Structural engineering; Vertical deflection; Geology; Mechanical engineering","score_opus":0.04162604916749311,"score_gpt":0.35971136394290326,"score_spread":0.31808531477541013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W654371297","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":[0.9624254,0.0006237497,0.020100215,0.013597685,0.0004995026,0.0016955873,0.00020259591,0.00040859636,0.0004466807],"genre_scores_gemma":[0.9975396,0.00011649926,0.0009816578,0.00006723156,0.0002140649,0.000506355,0.00010986703,0.00012012933,0.0003446035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9927339,0.0006448019,0.0010198699,0.0005728099,0.0035516238,0.0014769968],"domain_scores_gemma":[0.9946702,0.0011435584,0.00010361638,0.0009716561,0.0026625663,0.00044841826],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0072455304,0.0003857488,0.00041993594,0.0009502555,0.00087570597,0.00032664073,0.0015728622,0.00032041728,0.00003720026],"category_scores_gemma":[0.0003438718,0.00024319821,0.0001970469,0.0037895357,0.0011815422,0.00050491246,0.00002461583,0.0024339415,0.00006227894],"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":[0.0003332629,0.00015383853,0.003982998,0.00042052544,0.00024189014,0.00008289289,0.015249603,0.9407289,0.010024722,0.011283006,0.00960094,0.007897431],"study_design_scores_gemma":[0.0030158963,0.00073773565,0.65672064,0.0005799938,0.0001780505,0.000007822088,0.21891668,0.062749945,0.005407385,0.009004356,0.041470814,0.0012107047],"about_ca_topic_score_codex":0.0016890077,"about_ca_topic_score_gemma":0.0033135007,"teacher_disagreement_score":0.8779789,"about_ca_system_score_codex":0.00019381549,"about_ca_system_score_gemma":0.0004632175,"threshold_uncertainty_score":0.9998675},"labels":[],"label_agreement":null},{"id":"W657150868","doi":"","title":"PREVENTIVE-GRADUAL RAIL GRINDING PAYS DIVIDENDS","year":2000,"lang":"en","type":"article","venue":"International Railway Journal and Rapid Transit Review","topic":"Railway Engineering and Dynamics","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":"","keywords":"Preventive maintenance; Grinding; Work (physics); Corrective maintenance; Dividend; Engineering; Transport engineering; Operations management; Business; Finance; Mechanical engineering","score_opus":0.007631802474993303,"score_gpt":0.2207172978973528,"score_spread":0.2130854954223595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W657150868","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":[0.14444591,0.7535365,0.03569013,0.0058343145,0.0044205226,0.0006558568,0.00014879517,0.0007296761,0.05453826],"genre_scores_gemma":[0.30746096,0.68923134,0.0007662933,0.000264929,0.0004980323,0.000013525824,0.000026600912,0.000046222503,0.0016921235],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99873865,0.000034763474,0.00046957293,0.00016542852,0.00033359692,0.00025796314],"domain_scores_gemma":[0.99956405,0.000050603197,0.000040898947,0.000105911204,0.000059736903,0.00017880749],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003757017,0.00023581448,0.00031139413,0.00011585141,0.00010310356,0.000107393025,0.00024862334,0.000061672596,0.0016263481],"category_scores_gemma":[0.000017410537,0.00019585672,0.0002093384,0.00014334162,0.000033741093,0.00031434177,0.000009327287,0.00043014,0.000067336936],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018323928,0.000048260747,0.00023279744,0.0010732542,0.00049968925,0.00012511907,0.00023416692,0.012047655,0.00058158906,0.00054269313,0.0056474865,0.97894895],"study_design_scores_gemma":[0.0013233708,0.00010313676,0.0055008363,0.007725422,0.00023147682,0.0038457979,0.000020955124,0.018578012,0.00012648369,0.00068261876,0.96106356,0.00079835],"about_ca_topic_score_codex":0.0000014844645,"about_ca_topic_score_gemma":0.0000024087308,"teacher_disagreement_score":0.9781506,"about_ca_system_score_codex":0.000056868914,"about_ca_system_score_gemma":0.000013243588,"threshold_uncertainty_score":0.9992863},"labels":[],"label_agreement":null},{"id":"W6902381654","doi":"10.6084/m9.figshare.27044864.v1","title":"Quantifying the impact of rail longitudinal level changes on dynamic load magnitudes through instrumented wheelset measurements","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Context (archaeology); Dynamic load testing; Track geometry; Current (fluid); Load factor; Surface (topology)","score_opus":0.16245180279474816,"score_gpt":0.32409873484289997,"score_spread":0.1616469320481518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902381654","genre_codex":"dataset","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":[0.25731832,0.03893881,0.0012779675,0.00036536876,0.0020829965,0.0018690432,0.6810556,0.0044140965,0.012677804],"genre_scores_gemma":[0.9943822,0.000043049495,0.0000988234,0.00000811843,0.00004891908,0.000091246984,0.0051982,0.00006444979,0.00006500338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897736,0.000014972717,0.00017771001,0.00020050856,0.000334882,0.00029457803],"domain_scores_gemma":[0.9994913,0.00008797183,0.00002595735,0.00028428092,0.000067531655,0.000042968117],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007901733,0.0002739926,0.00023583707,0.00008167564,0.0000518232,0.000094481824,0.00023791236,0.00008578016,0.0043890746],"category_scores_gemma":[0.00011565509,0.00018509493,0.00020469488,0.00028339043,0.0000057756615,0.00010950128,0.00004219728,0.00026123322,0.00025004536],"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":[0.000043488082,0.00010491332,0.00051540293,0.0045541064,0.005508832,0.00006681632,0.0019109203,0.8761685,0.006426123,0.000064250366,0.08137248,0.023264177],"study_design_scores_gemma":[0.0006294869,0.0003799484,0.03858434,0.008072296,0.0003284606,0.000051543135,0.0000995839,0.93959904,0.0035456796,0.00006357387,0.007662756,0.0009832933],"about_ca_topic_score_codex":0.000038231825,"about_ca_topic_score_gemma":0.00016630186,"teacher_disagreement_score":0.7370639,"about_ca_system_score_codex":0.00026652127,"about_ca_system_score_gemma":0.0000499142,"threshold_uncertainty_score":0.99652106},"labels":[],"label_agreement":null},{"id":"W6905891655","doi":"10.15468/dl.xegap4","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Abies balsamea; Column (typography)","score_opus":0.006784311394898153,"score_gpt":0.18437131620946062,"score_spread":0.17758700481456247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6905891655","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015476237,0.00010367344,0.000047695466,0.000018571913,0.0020235486,0.00013294663,0.9965195,0.00074869016,0.00025058122],"genre_scores_gemma":[0.000018836376,0.0001828438,0.0000023911857,0.000043011143,0.0000025094814,0.0000030635126,0.9997472,3.4112126e-8,9.665729e-8],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904716,0.000007964982,0.00027764653,0.00013649945,0.00027191456,0.000258806],"domain_scores_gemma":[0.99940646,0.000009125693,0.000034903926,0.00036176597,0.000063239284,0.0001245233],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009926703,0.000293236,0.00021560426,0.000106174564,0.000066332395,0.00016653005,0.0003182973,0.00034083988,0.00034151317],"category_scores_gemma":[0.000028081005,0.00031600246,0.00012553096,0.00028869492,0.000050194216,0.00045634643,0.000112958776,0.00039274676,0.48061073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034779562,0.0000044466733,0.000024655086,0.0006914226,0.000043740692,0.0000032674789,0.000020928825,0.008510442,3.2521154e-8,8.111545e-8,0.9898843,0.0008131866],"study_design_scores_gemma":[0.00008689215,0.000009899446,0.0000072587754,0.000006278026,0.00004871514,0.000005793709,0.000026592254,0.000115137766,9.752086e-7,8.7208906e-7,0.9993826,0.00030899554],"about_ca_topic_score_codex":0.0000374914,"about_ca_topic_score_gemma":0.000005064495,"teacher_disagreement_score":0.4802692,"about_ca_system_score_codex":0.00034382206,"about_ca_system_score_gemma":0.00003948018,"threshold_uncertainty_score":0.9999292},"labels":[],"label_agreement":null},{"id":"W6923484801","doi":"10.14288/1.0221751","title":"Progress report on the Canadian Pacific Railway exploratory survey","year":2015,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Exploratory research; Public policy; Public transport","score_opus":0.016541977559926504,"score_gpt":0.16723965850999686,"score_spread":0.15069768095007036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923484801","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":[0.9905364,0.00013998196,0.00025407175,0.00007128041,0.00045342508,0.00015796119,0.00021850337,0.0002162602,0.007952123],"genre_scores_gemma":[0.9991688,0.000016105223,0.000101846614,0.000009064635,0.000025166757,9.930662e-7,0.0000600615,0.000026174512,0.00059179636],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99919116,0.000042910782,0.00009562249,0.0001875429,0.00022146208,0.00026132452],"domain_scores_gemma":[0.99912065,0.000037572914,0.000032690412,0.0003685345,0.00015823863,0.0002823305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052292674,0.000050433136,0.00015839076,0.000051827286,0.00014697334,0.00010056454,0.00026179885,0.00010367141,0.000016530237],"category_scores_gemma":[0.000061140694,0.0001454391,0.000051947467,0.00027491315,0.000120014745,0.00012985911,0.000024065794,0.0001839262,0.00003899238],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025320755,0.00017876498,0.30138427,0.00023858369,0.0004167584,0.006462159,0.0026225098,0.044926967,0.000029947905,0.0000518446,0.33232206,0.31134084],"study_design_scores_gemma":[0.00023611702,0.000031195916,0.9870751,0.00005565128,0.000008658667,0.000077747965,0.0007936209,0.008023668,3.7736672e-7,0.000052702166,0.0034449657,0.00020022062],"about_ca_topic_score_codex":0.38969535,"about_ca_topic_score_gemma":0.97009915,"teacher_disagreement_score":0.6856908,"about_ca_system_score_codex":0.00022560245,"about_ca_system_score_gemma":0.0001791213,"threshold_uncertainty_score":0.61436874},"labels":[],"label_agreement":null},{"id":"W6923593930","doi":"10.14288/1.0079236","title":"The Daily Canadian","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Perspective (graphical); Variety (cybernetics)","score_opus":0.013203272990357952,"score_gpt":0.2062624672547297,"score_spread":0.19305919426437174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923593930","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020419291,0.00009385152,0.0019638455,0.00013656728,0.0010432994,0.00012708495,0.000020680007,0.00012630368,0.9962842],"genre_scores_gemma":[0.19439097,0.00007996896,0.0018396142,0.00007400471,0.00018378544,0.00018395121,0.000015469073,0.000061530925,0.80317074],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996888,0.00000528487,0.000058067377,0.000048066955,0.000043095195,0.00015669495],"domain_scores_gemma":[0.99961793,0.000020869214,0.0000031722757,0.00015106169,0.000028966339,0.00017797001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009444902,0.000049125185,0.000041835072,0.000024782275,0.00084674975,0.0007689975,0.0002067204,0.000026420668,0.000021314061],"category_scores_gemma":[0.000023050763,0.000040976975,0.000012505969,0.00040382554,0.00000999116,0.000063801905,0.000016584245,0.00007956266,0.000038163525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.4751094e-7,0.0000012908749,0.0000071092927,5.26226e-7,0.000011625849,0.0000011623104,0.0000511624,0.17289197,0.0000017266706,0.0002748526,0.82626706,0.00049086026],"study_design_scores_gemma":[0.000092949114,0.000008079496,0.000037916634,0.0000017558748,0.0000028490106,0.000008177112,0.00011751441,0.16207872,0.000006094397,0.00043826338,0.8371439,0.00006376491],"about_ca_topic_score_codex":0.13528776,"about_ca_topic_score_gemma":0.5572201,"teacher_disagreement_score":0.42193234,"about_ca_system_score_codex":0.00018443287,"about_ca_system_score_gemma":0.00015331508,"threshold_uncertainty_score":0.8704704},"labels":[],"label_agreement":null},{"id":"W6948112212","doi":"10.5061/dryad.v1q13","title":"Data from: Natural selection and the predictability of evolution in Timema stick insects","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Railway Engineering and Dynamics","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":"Simon Fraser University","funders":"","keywords":"Predictability; Selection (genetic algorithm); Natural selection; Natural (archaeology); Field (mathematics); Stabilizing selection","score_opus":0.020787524699605736,"score_gpt":0.2332118373271179,"score_spread":0.21242431262751216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6948112212","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046739583,0.0004855253,0.0015933261,0.0000296414,0.0002823315,0.00037839013,0.9916266,0.0002972529,0.0006329249],"genre_scores_gemma":[0.13463506,0.000268083,0.000063801774,0.0000026004923,0.000110582754,4.3119947e-8,0.8645563,0.00033883844,0.00002467639],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989031,0.00015222513,0.00024176366,0.0002944807,0.00022331298,0.00018513149],"domain_scores_gemma":[0.9987292,0.00006163151,0.000084055166,0.00095147727,0.00012379349,0.000049807517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006509035,0.00015100242,0.0002147382,0.000154449,0.00039106814,0.00024407926,0.0011995399,0.00012442829,0.00039434314],"category_scores_gemma":[0.0012534182,0.00013562512,0.000021362313,0.00017668963,0.00016259222,0.00020718966,0.00090165256,0.000549811,0.0002435055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006764034,0.000027707243,0.0000036921083,0.0002751311,0.000056978428,0.0000019252075,0.00008489029,0.0036380936,0.0001240592,0.00003739747,0.99402535,0.0016571113],"study_design_scores_gemma":[0.00070563523,0.000036494712,0.0030803075,0.000100847195,0.000038846203,0.000017514141,0.000016506548,0.20855917,0.000007144833,0.000071136754,0.7872071,0.00015927482],"about_ca_topic_score_codex":0.0002570399,"about_ca_topic_score_gemma":0.00003190099,"teacher_disagreement_score":0.20681825,"about_ca_system_score_codex":0.00015236015,"about_ca_system_score_gemma":0.0000043842124,"threshold_uncertainty_score":0.55306315},"labels":[],"label_agreement":null},{"id":"W6958363973","doi":"10.6084/m9.figshare.27044864","title":"Quantifying the impact of rail longitudinal level changes on dynamic load magnitudes through instrumented wheelset measurements","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Context (archaeology); Dynamic load testing; Track geometry; Current (fluid); Load factor; Surface (topology)","score_opus":0.16245180279474816,"score_gpt":0.32409873484289997,"score_spread":0.1616469320481518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958363973","genre_codex":"dataset","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":[0.25731832,0.03893881,0.0012779675,0.00036536876,0.0020829965,0.0018690432,0.6810556,0.0044140965,0.012677804],"genre_scores_gemma":[0.9943822,0.000043049495,0.0000988234,0.00000811843,0.00004891908,0.000091246984,0.0051982,0.00006444979,0.00006500338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897736,0.000014972717,0.00017771001,0.00020050856,0.000334882,0.00029457803],"domain_scores_gemma":[0.9994913,0.00008797183,0.00002595735,0.00028428092,0.000067531655,0.000042968117],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007901733,0.0002739926,0.00023583707,0.00008167564,0.0000518232,0.000094481824,0.00023791236,0.00008578016,0.0043890746],"category_scores_gemma":[0.00011565509,0.00018509493,0.00020469488,0.00028339043,0.0000057756615,0.00010950128,0.00004219728,0.00026123322,0.00025004536],"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":[0.000043488082,0.00010491332,0.00051540293,0.0045541064,0.005508832,0.00006681632,0.0019109203,0.8761685,0.006426123,0.000064250366,0.08137248,0.023264177],"study_design_scores_gemma":[0.0006294869,0.0003799484,0.03858434,0.008072296,0.0003284606,0.000051543135,0.0000995839,0.93959904,0.0035456796,0.00006357387,0.007662756,0.0009832933],"about_ca_topic_score_codex":0.000038231825,"about_ca_topic_score_gemma":0.00016630186,"teacher_disagreement_score":0.7370639,"about_ca_system_score_codex":0.00026652127,"about_ca_system_score_gemma":0.0000499142,"threshold_uncertainty_score":0.99652106},"labels":[],"label_agreement":null},{"id":"W6962901642","doi":"10.17605/osf.io/b6ns7","title":"Evaluation of sensor technologies used to monitor sleep-related physiology after concussion: a scoping review","year":2022,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Human physiology; Emerging technologies; Key (lock); Automation","score_opus":0.014250446991256405,"score_gpt":0.266084620776248,"score_spread":0.2518341737849916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6962901642","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01125653,0.002851525,0.0019712271,0.00017293701,0.0024178564,0.008383649,0.000229207,0.004905227,0.9678118],"genre_scores_gemma":[0.12560529,0.025583012,0.008491297,0.00014258253,0.0003517162,0.012599592,0.0004530357,0.0030078585,0.82376564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964621,0.00040569413,0.00073468854,0.0012738878,0.00072587386,0.00039774383],"domain_scores_gemma":[0.9962967,0.0001576604,0.00024042677,0.0030769014,0.00013127367,0.0000970187],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0028533957,0.0004952903,0.00093289354,0.0004442542,0.0000411165,0.00001854493,0.0007809408,0.000525542,0.3664575],"category_scores_gemma":[0.0017119072,0.00053709454,0.00022045459,0.00045824784,0.000081430015,0.00005355723,0.0007933588,0.00066429994,0.09411732],"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":[0.00007607391,0.00025813255,0.00050576346,0.027282387,0.002116597,0.000040788927,0.0010034388,0.656957,0.0138664255,0.00009576993,0.18639551,0.111402124],"study_design_scores_gemma":[0.006096948,0.000030071527,0.0038637333,0.19936459,0.0054477584,0.00017642244,0.0008032354,0.25783342,0.013863981,0.0016398053,0.50205696,0.008823061],"about_ca_topic_score_codex":0.000026844806,"about_ca_topic_score_gemma":0.000022086744,"teacher_disagreement_score":0.39912358,"about_ca_system_score_codex":0.00042468982,"about_ca_system_score_gemma":0.00008970519,"threshold_uncertainty_score":0.99970806},"labels":[],"label_agreement":null},{"id":"W6963553234","doi":"10.22004/ag.econ.305973","title":"The Canadian Rockies: A Case Study in Rail Modelling","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Identification (biology); Measure (data warehouse)","score_opus":0.03169510604482571,"score_gpt":0.2007146945817299,"score_spread":0.1690195885369042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963553234","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":[0.99223936,0.0000980656,0.005769998,0.00037085632,0.00005245926,0.00019535069,0.000020136635,0.00005424886,0.0011995179],"genre_scores_gemma":[0.99928993,0.0000838347,0.00039772046,0.000010905878,0.000017755565,4.308274e-7,0.0000028149761,0.0000163428,0.00018028167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992252,0.000034327335,0.000104555744,0.00015589458,0.00015132474,0.00032868414],"domain_scores_gemma":[0.9994146,0.000094649076,0.000012388792,0.00018636783,0.000043246866,0.00024873207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022363196,0.00010873197,0.00015779771,0.00014508967,0.00023596261,0.000028476332,0.0002688071,0.00006164109,0.00003157737],"category_scores_gemma":[0.0000129830205,0.00012375959,0.000045606786,0.00035713054,0.00004845737,0.00014317298,0.00004463867,0.00029446033,0.000036428577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000876452,0.000012812131,0.0024203677,0.00003721986,0.000041494415,0.0026009977,0.0152225625,0.97705746,0.000020219726,0.000083901505,0.00025645364,0.0022377465],"study_design_scores_gemma":[0.0004190515,0.00005796635,0.0007964702,0.000008994802,0.0000087435965,0.00003261452,0.027531859,0.9690928,0.000005066319,0.000007151316,0.0019108449,0.0001284451],"about_ca_topic_score_codex":0.14541557,"about_ca_topic_score_gemma":0.68111956,"teacher_disagreement_score":0.53570396,"about_ca_system_score_codex":0.00013969299,"about_ca_system_score_gemma":0.00008686988,"threshold_uncertainty_score":0.86027515},"labels":[],"label_agreement":null},{"id":"W6969107884","doi":"10.5281/zenodo.7980118","title":"An Empirical Geophysical Model for Porphyry Copper Deposits in the Laramide Copper Province","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Railway Engineering and Dynamics","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":"Teck (Canada)","funders":"","keywords":"Porphyry copper deposit; Mineralization (soil science); Magmatism; Copper; Trace element","score_opus":0.02848921095089515,"score_gpt":0.2519326185248217,"score_spread":0.22344340757392653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969107884","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":[0.8383549,0.00007644935,0.13372478,0.0011379658,0.00022516874,0.0014602658,0.0005365755,0.005774129,0.018709756],"genre_scores_gemma":[0.9972165,0.000026387419,0.0004774982,0.00009648201,0.00010151162,3.5185272e-7,0.00094066036,0.0008993688,0.00024121981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989192,0.0000728272,0.00016934326,0.00023728107,0.00022620449,0.00037518266],"domain_scores_gemma":[0.99941283,0.000037221398,0.000015590178,0.00034674036,0.00009350253,0.00009414048],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038282902,0.00013036255,0.0001163205,0.00014258416,0.0004031173,0.00030490806,0.0006379014,0.000067057765,0.000034921715],"category_scores_gemma":[0.000112434696,0.00011781168,0.00004286571,0.00047039767,0.000046754598,0.00018279318,0.00013321414,0.00025185422,0.0009115481],"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":[0.00003302797,0.00010479527,0.000019329751,0.000120892495,0.000021583875,0.000019833704,0.0019698914,0.82472515,0.004785023,0.0021355844,0.1528966,0.01316829],"study_design_scores_gemma":[0.00025956306,0.00008397684,0.0015752775,0.000012714628,0.0000057668785,0.000018372712,0.000118954944,0.931217,0.00007834876,0.00014728731,0.06633493,0.00014778199],"about_ca_topic_score_codex":0.0000031098589,"about_ca_topic_score_gemma":0.0000015787356,"teacher_disagreement_score":0.1588616,"about_ca_system_score_codex":0.00008338937,"about_ca_system_score_gemma":0.0000039116558,"threshold_uncertainty_score":0.99986637},"labels":[],"label_agreement":null},{"id":"W6969176630","doi":"10.5683/sp2/mprev8","title":"Cochrane Review sample set - included studies for filter analysis","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Filter (signal processing); CINAHL; MEDLINE; Set (abstract data type); Listing (finance); Data set","score_opus":0.03623754365614049,"score_gpt":0.3116296919995413,"score_spread":0.2753921483434008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969176630","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.9505867e-7,0.03045617,0.0052971174,0.00015436018,0.00020684555,0.00034811947,0.96323806,0.0002798537,0.000019188163],"genre_scores_gemma":[0.0000011306755,0.10912716,0.0013451437,0.0003927026,0.0002490742,0.0002062212,0.88861734,0.000050137704,0.000011118456],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867976,0.000019256297,0.00046740248,0.0003084245,0.0002271471,0.00029798943],"domain_scores_gemma":[0.99864584,0.00036894355,0.000075175325,0.00069545826,0.00009870211,0.000115886374],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015191303,0.00041448034,0.0012530508,0.00019012029,0.000049312923,0.000030755797,0.00035403276,0.0001841043,0.000030809773],"category_scores_gemma":[0.0006417077,0.00039064066,0.00042342726,0.0005020283,0.00002465728,0.000039606653,0.000075187265,0.00024380814,0.00001418523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031479108,0.000004880136,3.9258794e-7,0.0108936485,0.0025935785,0.0000071512554,0.000026442976,0.014246533,0.0000010477706,0.00000525679,0.9720602,0.00015771328],"study_design_scores_gemma":[0.00012623261,0.000026479294,0.000010196954,0.0007961737,0.0033188122,0.0000014408696,0.000007697725,0.011607093,0.0000025208067,0.000031244166,0.9836613,0.00041084274],"about_ca_topic_score_codex":0.0008768973,"about_ca_topic_score_gemma":0.0020876068,"teacher_disagreement_score":0.078670986,"about_ca_system_score_codex":0.00009123844,"about_ca_system_score_gemma":0.00001865124,"threshold_uncertainty_score":0.99985456},"labels":[],"label_agreement":null},{"id":"W6977471544","doi":"10.6084/m9.figshare.c.7153927.v1","title":"Systems for rating bodies of evidence used in systematic reviews of air pollution exposure and reproductive and children’s health: a methodological survey","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grading (engineering); Operationalization; Systematic review; Rating scale; Rating system; Public health; Evidence-based practice; Exposure assessment","score_opus":0.2795359256211499,"score_gpt":0.3598976177604348,"score_spread":0.08036169213928485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977471544","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002819787,0.8617247,0.00080978125,0.00002161272,0.00029873726,0.0054832962,0.13088226,0.0002736911,0.00022396698],"genre_scores_gemma":[0.7646163,0.057403605,0.033157907,0.00007087276,0.002211078,0.017108709,0.07895991,0.004227322,0.042244274],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99858767,0.00033934537,0.0005826715,0.00027132602,0.000089051624,0.00012990827],"domain_scores_gemma":[0.9987726,0.00066801807,0.00025785225,0.00023798487,0.000032842894,0.00003067687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013620009,0.00020562425,0.0011278398,0.00017498888,0.000007804947,0.000012024682,0.000069447706,0.00017152091,0.000054875803],"category_scores_gemma":[0.0077562733,0.00015308829,0.00005319108,0.000111631394,0.000007849878,0.0000319889,0.00002984003,0.00014030942,0.000002809149],"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":[0.0000073108117,0.000007841983,0.00018977826,0.8494327,0.00014877746,0.000001000093,0.0007863397,0.010665092,0.000025002317,0.000012962457,0.13851911,0.00020405841],"study_design_scores_gemma":[0.00030998708,0.00026123246,0.009242925,0.95599353,0.00008779102,0.00003680206,0.00014695215,0.03133693,0.000027403146,0.000017106893,0.0019224461,0.00061691774],"about_ca_topic_score_codex":0.00011679972,"about_ca_topic_score_gemma":0.000110736306,"teacher_disagreement_score":0.80432105,"about_ca_system_score_codex":0.000040929666,"about_ca_system_score_gemma":0.000016061578,"threshold_uncertainty_score":0.92855436},"labels":[{"model":"gemma","categories":["metaresearch"],"domain":"evaluation","study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W6977891393","doi":"10.7939/r3-169n-6h42","title":"Development of Non-Destructive Indentation Fracture Toughness Methodologies for High Strength Alloys Case study: High strength rail steels and aluminum","year":2024,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indentation; Fracture toughness; Structural integrity; Fracture (geology); Track (disk drive); Toughness; Fracture mechanics","score_opus":0.009827626059564904,"score_gpt":0.22376315817025252,"score_spread":0.2139355321106876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977891393","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":[0.99634224,0.00012912015,0.0018542204,0.000010309809,0.0005789252,0.0005090401,0.00010936945,0.00012358346,0.00034320797],"genre_scores_gemma":[0.92580074,0.00007280707,0.069591835,0.0000021732785,0.000041281215,0.0000040853715,0.0018201175,0.000081246595,0.0025857247],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9989704,0.000032169308,0.00030770391,0.0003412504,0.00016273167,0.00018573618],"domain_scores_gemma":[0.9990315,0.00049070903,0.00015162642,0.00020558314,0.000051233907,0.00006937025],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007042979,0.00034997886,0.0005433647,0.00034532108,0.00008087394,0.00003187255,0.00021542884,0.00034817774,0.000030033149],"category_scores_gemma":[0.000022904054,0.00040201924,0.00008316441,0.00019592897,0.000037485446,0.00044320556,0.00006388843,0.00028590823,9.835578e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016663788,0.00068744627,0.0024262029,0.020773113,0.010327195,0.0016568479,0.7214723,0.14823128,0.0018727252,0.0032119774,0.0037333218,0.08394121],"study_design_scores_gemma":[0.007489278,0.0011514355,0.058087938,0.002356212,0.0032176943,0.00014287815,0.848163,0.032931883,0.037077077,0.001903999,0.0036201826,0.0038584056],"about_ca_topic_score_codex":0.0009321147,"about_ca_topic_score_gemma":0.0016024068,"teacher_disagreement_score":0.12669072,"about_ca_system_score_codex":0.000050113846,"about_ca_system_score_gemma":0.00013633455,"threshold_uncertainty_score":0.9998432},"labels":[],"label_agreement":null},{"id":"W6983579702","doi":"","title":"Modifications structurales et dynamiques de spins d'alliages Heusler Co2MnSi irradiés aux ions He+","year":2016,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"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":"Indigenous and Northern Affairs Canada; Indian National Science Academy","keywords":"Spins; Iron alloys; Coherent potential approximation; Anisotropy energy","score_opus":0.01625764218488623,"score_gpt":0.2501566581247082,"score_spread":0.23389901593982199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983579702","genre_codex":"methods","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":[0.38413578,0.0003052093,0.59863955,0.0020821532,0.0003436308,0.00014019666,0.00013460801,0.0022099828,0.012008882],"genre_scores_gemma":[0.9818094,0.0006935879,0.0145494435,0.00006147066,0.00005710444,0.000028500077,0.000020283149,0.000055345416,0.002724883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992195,0.000015091339,0.00018840977,0.00016586384,0.00009636605,0.00031481194],"domain_scores_gemma":[0.9993783,0.000092220966,0.000015041675,0.0003403856,0.00004272972,0.0001313162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071467024,0.0001897827,0.00014439867,0.00009869201,0.00006329885,0.000047992977,0.00018218174,0.00010011101,0.00010398527],"category_scores_gemma":[0.000046983107,0.00013890692,0.00006593033,0.000114629496,0.000045962548,0.00018764078,0.00002108056,0.00011675333,0.000061788574],"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":[0.0000050901135,0.00004710052,0.0020897205,0.0001615222,0.0002533227,0.0000112189055,0.0008106294,0.5651062,0.11865535,0.28959054,0.011192179,0.012077082],"study_design_scores_gemma":[0.0005054668,0.000050238377,0.08110713,0.0001916524,0.00004975007,0.000044906188,0.00018520815,0.8894943,0.0047862264,0.00625933,0.016407259,0.0009185419],"about_ca_topic_score_codex":0.00004200706,"about_ca_topic_score_gemma":0.0002471282,"teacher_disagreement_score":0.5976736,"about_ca_system_score_codex":0.000092404734,"about_ca_system_score_gemma":0.00003498187,"threshold_uncertainty_score":0.566446},"labels":[],"label_agreement":null},{"id":"W6987670978","doi":"","title":"Transitioning from corrective to preventive rail grinding on the BNSF railroad","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"Bulgarian National Science Fund","keywords":"Pulverizer; Grinding; Preventive maintenance; Productivity; State (computer science); Corrective maintenance","score_opus":0.007396996596375,"score_gpt":0.19294812948418447,"score_spread":0.18555113288780947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987670978","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":[0.83389175,0.000026327918,0.11351665,0.00029231643,0.0006554581,0.00020451313,0.000035323017,0.00038427152,0.050993375],"genre_scores_gemma":[0.99776036,0.000023213817,0.0013620249,0.00010632945,0.00017079846,0.000046606383,0.000013692233,0.000038840473,0.00047811837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993116,0.000021541462,0.00012261908,0.00016301752,0.00014033537,0.00024085965],"domain_scores_gemma":[0.9995247,0.00017982838,0.000011028083,0.00019130256,0.000018955032,0.00007418467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010243968,0.00015035325,0.00012749723,0.000053906984,0.0000921731,0.000041783525,0.00013506948,0.000055303823,0.00024456115],"category_scores_gemma":[0.000038953804,0.00012753779,0.0000618733,0.00021676024,0.000012790379,0.000061770836,0.000011371962,0.00023104741,0.00017178677],"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":[0.00006632465,0.000046214373,0.00056357984,0.000014587129,0.00019684284,0.000038380225,0.007030248,0.88822293,0.043190576,0.0035411338,0.0060075754,0.051081605],"study_design_scores_gemma":[0.0013510222,0.00027653488,0.030981692,0.0006985564,0.0000997608,0.00003436549,0.0023255334,0.9081206,0.019632574,0.009012598,0.026055217,0.0014115671],"about_ca_topic_score_codex":0.000013577641,"about_ca_topic_score_gemma":0.000023555525,"teacher_disagreement_score":0.1638686,"about_ca_system_score_codex":0.00009778338,"about_ca_system_score_gemma":0.0000064799183,"threshold_uncertainty_score":0.52008396},"labels":[],"label_agreement":null},{"id":"W6992977959","doi":"","title":"Mud pumping under railtracks: Mechanisms, assessments and solutions","year":2020,"lang":"en","type":"article","venue":"UTS ePRESS (University of Technology Sydney)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ballast; Subgrade; Drainage; Pore water pressure; Water pumping","score_opus":0.01449553911113358,"score_gpt":0.19346242168004202,"score_spread":0.17896688256890844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992977959","genre_codex":"methods","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":[0.17836884,0.00028788723,0.81695575,0.0016481214,0.00012565135,0.00010082469,0.000038570495,0.0011403067,0.0013340542],"genre_scores_gemma":[0.9797588,0.00020263756,0.019910693,0.00002770206,0.000008231863,4.148541e-7,0.000007901083,0.000018227976,0.00006539691],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943006,0.000006330974,0.00008066352,0.00018619234,0.00007962837,0.0002171136],"domain_scores_gemma":[0.9996609,0.000017432805,0.00002750148,0.00018547715,0.000026032269,0.000082660576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037946877,0.00012318074,0.00019550408,0.00016635271,0.00009836901,0.000007844799,0.00024793393,0.00021962618,0.000025752055],"category_scores_gemma":[0.000014409842,0.00016484699,0.00003965936,0.0002767662,0.00011076418,0.0001451183,0.00014895394,0.00024242574,0.000011050121],"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":[0.00004899622,0.00014389632,0.0030609036,0.0009171247,0.0012627478,0.00018996526,0.0017095177,0.409992,0.18464898,0.3635442,0.0031632795,0.031318396],"study_design_scores_gemma":[0.0011186388,0.00013162085,0.0028589517,0.000103416074,0.00014436003,0.00002860183,0.0034218214,0.9727154,0.003748616,0.010017264,0.005130327,0.00058103446],"about_ca_topic_score_codex":0.000015204298,"about_ca_topic_score_gemma":0.000009804253,"teacher_disagreement_score":0.80139,"about_ca_system_score_codex":0.00003216345,"about_ca_system_score_gemma":0.000010848614,"threshold_uncertainty_score":0.67222655},"labels":[],"label_agreement":null},{"id":"W6996227493","doi":"","title":"Report on survey of the Montreal &amp; Ottawa City junction railway, with tabular statements appended.","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Column (typography); Plan (archaeology)","score_opus":0.006477308292763647,"score_gpt":0.17838762911195566,"score_spread":0.17191032081919203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996227493","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":[0.92510897,0.000005714826,0.050443344,0.0013821715,0.00050225185,0.0003151112,0.00010152302,0.00073213817,0.021408806],"genre_scores_gemma":[0.9737513,0.000024082503,0.0010328932,0.00001646317,0.0000241345,5.2553503e-7,0.00013946778,0.000045180517,0.024965946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989867,0.0000927351,0.0001548072,0.0002463948,0.00026974495,0.00024960056],"domain_scores_gemma":[0.9990887,0.000072016635,0.00009529068,0.0005962919,0.00004149422,0.00010621446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000132682,0.00021398842,0.00022737433,0.00013280899,0.00009114665,0.00002534947,0.00027856743,0.000102524034,0.00004061745],"category_scores_gemma":[0.0000325589,0.00018230076,0.000067116474,0.00044284388,0.000056244156,0.00048729338,0.00007390901,0.00024239243,0.000012106066],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015400437,0.00010203757,0.38545936,0.00012441103,0.00023250513,0.000038189242,0.00014253949,0.51537997,0.00001755095,0.0011301447,0.096806325,0.00041296013],"study_design_scores_gemma":[0.001008237,0.00014573363,0.87857604,0.00010683554,0.000058420945,0.0000019090314,0.000055699198,0.006614927,0.0011603481,0.000065119755,0.11170068,0.0005060249],"about_ca_topic_score_codex":0.007712636,"about_ca_topic_score_gemma":0.0011461533,"teacher_disagreement_score":0.50876504,"about_ca_system_score_codex":0.00007328041,"about_ca_system_score_gemma":0.00004022147,"threshold_uncertainty_score":0.9988951},"labels":[],"label_agreement":null},{"id":"W7008457671","doi":"","title":"Chart of estimate of work done on Port Dalhousie and Thorold Railway in the section between Geneva Street and Thorold Station of the Grantham Railway","year":2016,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Chart; Port (circuit theory); Work (physics)","score_opus":0.006042513977619207,"score_gpt":0.1745662920635434,"score_spread":0.1685237780859242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008457671","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":[0.8335733,0.00023431912,0.0039480682,0.0000051721095,0.00048547424,0.00074886327,0.0009651291,0.00025699518,0.15978271],"genre_scores_gemma":[0.7554628,0.00026188153,0.00008582497,0.0000018820123,0.00007952959,2.3292922e-7,0.00003842299,0.00010648592,0.24396294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989646,0.000055208136,0.00022251286,0.00027459217,0.00028265646,0.00020043104],"domain_scores_gemma":[0.99913424,0.00013418053,0.0002519257,0.00035801405,0.000052428895,0.00006920784],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000010368614,0.00029286524,0.0004083344,0.0005301548,0.00006820944,0.000018475259,0.00035262207,0.00028378164,0.0000020225777],"category_scores_gemma":[0.000013139411,0.00024679015,0.000114898605,0.00041921606,0.00015842803,0.00022912191,0.00012558345,0.00023503571,6.584243e-7],"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":[0.0012119665,0.0005827214,0.73881555,0.0043396815,0.0022749947,0.00019305394,0.001101217,0.053154964,0.030648034,0.00080773735,0.15642223,0.010447853],"study_design_scores_gemma":[0.008947117,0.0013518268,0.67187274,0.007818992,0.0018014673,0.0001002493,0.010404572,0.0006006952,0.0063164877,0.00012005041,0.287158,0.0035078079],"about_ca_topic_score_codex":0.00010110979,"about_ca_topic_score_gemma":0.00030793232,"teacher_disagreement_score":0.1307358,"about_ca_system_score_codex":0.00009422705,"about_ca_system_score_gemma":0.000037796417,"threshold_uncertainty_score":0.99999845},"labels":[],"label_agreement":null},{"id":"W7019242810","doi":"","title":"Évaluation du profil de la surface des pistes de roulement du métro de Montréal","year":2003,"lang":"fr","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Fashion industry","score_opus":0.010216690569886246,"score_gpt":0.2037058696315252,"score_spread":0.19348917906163896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019242810","genre_codex":"methods","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":[0.47633505,0.0036574148,0.50686824,0.00025923573,0.00025588507,0.000120782606,0.000008898846,0.00023088368,0.012263629],"genre_scores_gemma":[0.66602504,0.0016373569,0.32701194,0.000032139105,0.0001145168,0.000020005098,0.0000083823725,0.000068750494,0.0050818445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847597,0.00022566323,0.00027098326,0.00018789592,0.00017206183,0.000667408],"domain_scores_gemma":[0.99926794,0.00025060892,0.000028924218,0.00020142835,0.000056497203,0.00019462752],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015827469,0.00026358385,0.00018773727,0.000049791808,0.00011408763,0.00012075887,0.0001074216,0.00021150683,0.00020318107],"category_scores_gemma":[0.00032635895,0.00029873583,0.00008855428,0.00016161305,0.000059657694,0.00014470966,0.000018183351,0.00023111879,0.000049220424],"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":[0.0000050054227,0.00007742716,0.04287957,0.00021156661,0.000074061834,0.000024954543,0.0014765608,0.9135074,0.004112254,0.032374818,0.0014136157,0.0038427557],"study_design_scores_gemma":[0.00052993215,0.00005352033,0.017440137,0.00008223713,0.00007237541,0.00013648375,0.00025974002,0.9610823,0.0071030594,0.0037150611,0.009192993,0.0003321747],"about_ca_topic_score_codex":0.0026520002,"about_ca_topic_score_gemma":0.0003903934,"teacher_disagreement_score":0.18969002,"about_ca_system_score_codex":0.0015338754,"about_ca_system_score_gemma":0.00019585188,"threshold_uncertainty_score":0.9999465},"labels":[],"label_agreement":null},{"id":"W7030088126","doi":"","title":"Microplastics in coastal marine habitats and food webs","year":2021,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microplastics; Marine habitats; Sampling (signal processing); Marine debris; Habitat; Seawater; Ecotoxicology; Shellfish; Marine species; Food chain","score_opus":0.009480392416345242,"score_gpt":0.2182523890849166,"score_spread":0.20877199666857135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030088126","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":[0.9898187,0.0013961635,0.00012505248,0.0000062198205,0.0005953471,0.000104658466,0.000013842053,0.0000810771,0.007858977],"genre_scores_gemma":[0.9851415,0.0014852809,0.00064802275,2.8689834e-7,0.00011958966,7.6481734e-7,0.0002989774,0.000049319628,0.012256261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987857,0.00009496694,0.0001538106,0.00029944052,0.0003356857,0.00033040653],"domain_scores_gemma":[0.99919486,0.0002389078,0.000043146745,0.00015858059,0.00020982994,0.00015465436],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002465068,0.00019144545,0.00033122054,0.00038063014,0.000229849,0.00006974902,0.00013559226,0.00031499946,0.000018138968],"category_scores_gemma":[0.000092463066,0.00026828222,0.000045200075,0.0003054983,0.00009077757,0.000097420365,0.00009864701,0.0014361537,0.0000026299933],"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":[0.0022400212,0.0009976408,0.44716835,0.037285738,0.003279739,0.005169206,0.08910088,0.17804441,0.18545167,0.001985642,0.0057375603,0.04353915],"study_design_scores_gemma":[0.005212174,0.0031334797,0.64311576,0.0037777326,0.00020725494,0.00020449271,0.07303033,0.21195734,0.002165184,0.00032889875,0.054278612,0.0025887247],"about_ca_topic_score_codex":0.0001829914,"about_ca_topic_score_gemma":0.002116363,"teacher_disagreement_score":0.19594742,"about_ca_system_score_codex":0.00008600682,"about_ca_system_score_gemma":0.00009296697,"threshold_uncertainty_score":0.99997693},"labels":[],"label_agreement":null},{"id":"W7037687816","doi":"","title":"Effet du statut socio-économique sur la rigidité artérielle et contribution des contraintes psychosociales au travail dans une cohorte de 9 000 travailleurs","year":2021,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gender relations; Sex workers; Social unrest","score_opus":0.005086112785641759,"score_gpt":0.17307421676575388,"score_spread":0.16798810398011213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037687816","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":[0.7056369,0.008342602,0.07091706,0.0014919114,0.0020910653,0.0010892942,0.0026593276,0.001193252,0.20657854],"genre_scores_gemma":[0.5351438,0.07124375,0.002733296,0.00014688435,0.0009608365,0.000017627932,0.0025624193,0.0011671791,0.38602424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957485,0.0006268658,0.000567174,0.0011222159,0.00036609275,0.0015691263],"domain_scores_gemma":[0.9966733,0.00096133,0.00039289414,0.0007265519,0.00043802182,0.00080788694],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0005315898,0.0013710624,0.001544175,0.00057719747,0.0007929857,0.00019593647,0.0009305564,0.0015872061,0.00069728],"category_scores_gemma":[0.00015374817,0.0018402816,0.0008687849,0.0008590128,0.0008767829,0.0004100007,0.000199983,0.0013802391,0.000054700322],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012749976,0.0013963946,0.08132747,0.0026973041,0.009820045,0.009214556,0.13363305,0.21849318,0.07720633,0.37662402,0.03258534,0.05572734],"study_design_scores_gemma":[0.012476233,0.00064045266,0.13576724,0.002846271,0.002658966,0.0007480773,0.015748488,0.043626633,0.004866115,0.0010500541,0.7748358,0.0047356244],"about_ca_topic_score_codex":0.051675733,"about_ca_topic_score_gemma":0.1158889,"teacher_disagreement_score":0.7422505,"about_ca_system_score_codex":0.0061468133,"about_ca_system_score_gemma":0.0016658225,"threshold_uncertainty_score":0.99990404},"labels":[],"label_agreement":null},{"id":"W7065186191","doi":"","title":"Effekter av top-of-rail friktionsmodifierare på friktion, slitage och sprickor på järnvägsräls","year":2019,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tread; Traction (geology); Slippage; Axle; Train; Friction modifier; Axle load; Tractive force","score_opus":0.007723907010668264,"score_gpt":0.21438447502924773,"score_spread":0.20666056801857946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7065186191","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":[0.757196,0.0013625138,0.20566414,0.002507952,0.00326154,0.0015571716,0.0029736336,0.0036261808,0.021850832],"genre_scores_gemma":[0.9674398,0.00011550185,0.028216403,0.000053978256,0.00008543003,0.0001459636,0.0022856283,0.00007074506,0.0015865888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979103,0.000016294633,0.00078251143,0.0004968852,0.00034112588,0.00045287432],"domain_scores_gemma":[0.99747485,0.000045030927,0.00020243907,0.0017311331,0.00042077672,0.0001257501],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003070947,0.00036444856,0.00048578295,0.001363055,0.000084489766,0.000048994603,0.0008938587,0.00043675484,0.00024237244],"category_scores_gemma":[0.00040409976,0.00038223315,0.00013210406,0.0015331957,0.00019621551,0.0007719562,0.0002513611,0.00051822653,0.00021483813],"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":[0.000093088194,0.0009897994,0.038746327,0.004049461,0.0009479568,0.000021926195,0.00041145927,0.30462044,0.0451059,0.476757,0.082076885,0.046179745],"study_design_scores_gemma":[0.0021427923,0.0001813752,0.0066487505,0.00052186305,0.00013896528,0.00002570387,0.0001720182,0.29139525,0.031990457,0.0006715214,0.6647678,0.0013435194],"about_ca_topic_score_codex":0.000038586968,"about_ca_topic_score_gemma":0.000008529722,"teacher_disagreement_score":0.5826909,"about_ca_system_score_codex":0.000115041286,"about_ca_system_score_gemma":0.000080794154,"threshold_uncertainty_score":0.99986297},"labels":[],"label_agreement":null},{"id":"W7065741602","doi":"","title":"Evolution of truck weight limits and bridge live load models: evidence of impacts from Manitoba, Canada","year":2020,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Truck; Context (archaeology); Bridge (graph theory); Work (physics); Point (geometry)","score_opus":0.014165975225369288,"score_gpt":0.17320264010700703,"score_spread":0.15903666488163776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7065741602","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":[0.99018264,0.0052328175,0.0029407067,0.000035900874,0.0004236676,0.00017125868,0.00030219782,0.00006758945,0.0006432434],"genre_scores_gemma":[0.9968696,0.0019604436,0.00090030074,0.00000164122,0.000041847306,2.4685795e-7,0.0001345339,0.00003679688,0.000054560587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894667,0.000021474196,0.00018435558,0.0002483063,0.0004071425,0.00019207376],"domain_scores_gemma":[0.99910426,0.00010448202,0.00020582721,0.00025403948,0.00020314699,0.00012821736],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000053434156,0.00026283826,0.00051938224,0.00013204929,0.00004312089,0.0000072051553,0.00028907153,0.00023446664,0.000002614869],"category_scores_gemma":[0.000038368013,0.00037003454,0.00009432671,0.00019228591,0.00003954794,0.00025747446,0.000034287,0.00026590974,0.000002108976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017345808,0.00017535407,0.052381333,0.023491519,0.002759448,0.00033301953,0.014719145,0.84081936,0.036158394,0.001826837,0.020448955,0.0051520374],"study_design_scores_gemma":[0.00060365966,0.00014615322,0.47843075,0.0025075215,0.0004514912,0.0000029431378,0.016111847,0.49957734,0.0012190513,0.00016407538,0.00017704663,0.0006081181],"about_ca_topic_score_codex":0.6083492,"about_ca_topic_score_gemma":0.9836709,"teacher_disagreement_score":0.4260494,"about_ca_system_score_codex":0.0006126698,"about_ca_system_score_gemma":0.00037587123,"threshold_uncertainty_score":0.9998752},"labels":[],"label_agreement":null},{"id":"W7071771532","doi":"","title":"Truck Load Distribution Factors in Concrete Multicell Bridges","year":2023,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Structural load; Influence line; Bending moment; Bridge (graph theory); Parametric statistics; Slab; Distortion (music); Transverse plane; Shear (geology); Pier","score_opus":0.01066557960843665,"score_gpt":0.2015790842621986,"score_spread":0.19091350465376195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071771532","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":[0.99588186,0.00028902807,0.000094744355,0.000011278501,0.0011725893,0.0002625385,0.0007727005,0.0005521116,0.00096315716],"genre_scores_gemma":[0.9838831,0.0002839201,0.00011593808,0.0000018211211,0.00004856601,0.0000010170088,0.006004985,0.000120408484,0.0095402645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99811345,0.000054573982,0.00032427593,0.00045865288,0.0005275933,0.00052145694],"domain_scores_gemma":[0.99894774,0.00014800663,0.00014925076,0.0004286924,0.00014314582,0.00018315816],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031376473,0.00047800154,0.00063429115,0.00039526264,0.00014607424,0.000036537444,0.0005353453,0.00082745333,0.000082621504],"category_scores_gemma":[0.00013586675,0.0006667168,0.00028099003,0.00062539394,0.000059953658,0.00036508447,0.000059501108,0.0010098463,0.00018722194],"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":[0.0019361746,0.00018528002,0.37413615,0.011425385,0.0020039866,0.0010734536,0.04594635,0.47229004,0.08045643,0.0007394622,0.0043363185,0.0054709804],"study_design_scores_gemma":[0.0016689311,0.00006626243,0.9578552,0.00074247725,0.00019236715,0.0000025803563,0.00552917,0.026246637,0.0042557167,0.0000464525,0.0022017779,0.0011923879],"about_ca_topic_score_codex":0.000317631,"about_ca_topic_score_gemma":0.0025380498,"teacher_disagreement_score":0.5837191,"about_ca_system_score_codex":0.0008437129,"about_ca_system_score_gemma":0.000098341785,"threshold_uncertainty_score":0.9995784},"labels":[],"label_agreement":null},{"id":"W7086595685","doi":"","title":"Hybrid machine learning for scale-up of biomass production using photobioreactors","year":2024,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Production (economics); Biomass (ecology); Photobioreactor; Yield (engineering)","score_opus":0.010513545650943914,"score_gpt":0.19598211734765392,"score_spread":0.18546857169671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7086595685","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":[0.7606763,0.0008759634,0.23306794,0.00012240096,0.0006187616,0.00083419814,0.00040053716,0.001070284,0.0023336126],"genre_scores_gemma":[0.9803712,0.00050688884,0.017958317,0.0000021675462,0.000045548877,3.163271e-7,0.00007300053,0.00007604256,0.0009665551],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977457,0.000069939255,0.00049213495,0.0006624833,0.000492491,0.0005372309],"domain_scores_gemma":[0.9983453,0.0003456635,0.00020720818,0.0006009428,0.00026505612,0.00023579068],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00055641524,0.00044249845,0.00086997467,0.0007703596,0.00018843552,0.000018493178,0.0008636129,0.0005074148,0.00017323978],"category_scores_gemma":[0.00015563691,0.000568431,0.0006373845,0.001005553,0.0006533278,0.0004042564,0.00032839904,0.00081538694,0.000017946237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010601011,0.00047481092,0.001433196,0.0036879566,0.0007424125,0.00020855342,0.00034769383,0.038673796,0.9405087,0.0013953155,0.0049199373,0.006547481],"study_design_scores_gemma":[0.005307275,0.0016851,0.006009216,0.0036971096,0.0025056116,0.0005681334,0.0015615497,0.7867279,0.13209856,0.0010036,0.05536756,0.0034683752],"about_ca_topic_score_codex":0.0003077085,"about_ca_topic_score_gemma":0.00017438995,"teacher_disagreement_score":0.80841017,"about_ca_system_score_codex":0.0005029897,"about_ca_system_score_gemma":0.00012615033,"threshold_uncertainty_score":0.9996767},"labels":[],"label_agreement":null},{"id":"W7095984101","doi":"","title":"Elsevier Live load model for highway bridges *","year":2016,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Structural load; Bridge (graph theory); Span (engineering); Design load; Load distribution; Girder","score_opus":0.009642502501772213,"score_gpt":0.20060563417997343,"score_spread":0.19096313167820123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095984101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017107414,0.00016116301,0.9727209,0.000101976715,0.00027105917,0.000106537605,0.000050358183,0.0007933391,0.00868721],"genre_scores_gemma":[0.95309925,0.00015082634,0.01565425,0.000024428033,0.00010244109,0.000044820037,0.000004278287,0.000050849794,0.030868843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995137,0.0000012640556,0.00010297616,0.000104504856,0.00007124694,0.00020631241],"domain_scores_gemma":[0.99968684,0.000052662916,0.0000058367527,0.00015959525,0.00003655353,0.000058484824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000054392018,0.00010841182,0.000102916936,0.000026358875,0.000016342075,0.000011885277,0.00008381583,0.00005511078,0.000021621094],"category_scores_gemma":[0.000017845437,0.00007307469,0.000055043227,0.000026354073,0.000009727351,0.00008188634,0.000009428741,0.000029611587,0.00008960911],"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":[0.000004396286,0.0000073615643,0.000025086574,0.000056966073,0.000029954323,6.285287e-7,0.00009877498,0.8872016,0.0036952863,0.0031363282,0.0063345847,0.09940905],"study_design_scores_gemma":[0.00022401147,0.000009645302,0.00004100463,0.000021575945,0.0000059210324,0.0000018867614,0.000003871415,0.98928916,0.0009099551,0.00034243314,0.008998254,0.00015229717],"about_ca_topic_score_codex":9.989583e-7,"about_ca_topic_score_gemma":0.000008571231,"teacher_disagreement_score":0.9570667,"about_ca_system_score_codex":0.000080668804,"about_ca_system_score_gemma":0.000012538368,"threshold_uncertainty_score":0.29798993},"labels":[],"label_agreement":null},{"id":"W7099296219","doi":"","title":"and genetic features","year":2014,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutation; Homogeneous; Gene; Genetic data; Genetic testing; Haplotype; Cohort","score_opus":0.0019187834609650121,"score_gpt":0.15441277910614465,"score_spread":0.15249399564517963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099296219","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":[0.6609486,0.0005079337,0.26442686,0.00003972699,0.00026681798,0.0000316514,0.0000010317013,0.0008485032,0.072928905],"genre_scores_gemma":[0.9908428,0.000035349174,0.008567987,0.000018425706,0.000039117374,0.0000011338892,5.8691063e-7,0.000010064966,0.000484523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998511,0.0000011798869,0.000027596636,0.00003582787,0.000021285721,0.0000630225],"domain_scores_gemma":[0.99990076,0.000010065496,0.0000010283293,0.000058126723,0.000002272609,0.000027723385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000010492682,0.000039327984,0.000034521836,0.000016195212,0.0000075271896,0.000011037447,0.0000202819,0.000020687008,0.000006603627],"category_scores_gemma":[0.000004097882,0.00003478806,0.0000060810553,0.000019213352,0.0000046181985,0.000011254744,0.0000039789443,0.000031074702,0.000009643685],"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":[8.594342e-7,0.0000038604458,0.0018517895,0.00009558343,0.000022433727,0.0000027152441,0.000109965746,0.84974205,0.005749727,0.01368412,0.007159304,0.12157761],"study_design_scores_gemma":[0.000074878764,0.00000954433,0.05522987,0.000003320551,0.0000027245258,0.000016912523,0.000003368554,0.933965,0.00035093774,0.0003604717,0.009882743,0.00010018075],"about_ca_topic_score_codex":0.0000017134479,"about_ca_topic_score_gemma":0.000003058591,"teacher_disagreement_score":0.3298942,"about_ca_system_score_codex":0.0000026113266,"about_ca_system_score_gemma":3.8039005e-7,"threshold_uncertainty_score":0.1418616},"labels":[],"label_agreement":null},{"id":"W7099472090","doi":"","title":"Infant mortality among First Nations versus non-First Nations in British Columbia: temporal","year":2015,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Infant mortality; Rural area; Relative risk; Child mortality; Pregnancy; Neonatal death; Cause of death; Population; Live birth","score_opus":0.012711031680239146,"score_gpt":0.21600056201379725,"score_spread":0.2032895303335581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099472090","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":[0.9485333,0.000052753723,0.00488919,0.00003211129,0.0010358418,0.00022938385,0.000067560846,0.00056583877,0.044594042],"genre_scores_gemma":[0.99775016,0.000052929143,0.0012716362,0.0000033754195,0.00006818133,0.000075688906,0.000084766005,0.00003511288,0.00065815164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991025,0.0000054785096,0.00027194282,0.00016593916,0.0001984324,0.00025572066],"domain_scores_gemma":[0.99941504,0.00012615713,0.000018524108,0.00021858935,0.00006775793,0.00015394756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014641894,0.00010641202,0.00016190688,0.00014714069,0.00014100953,0.00020168345,0.00013962737,0.0001144078,0.00004342748],"category_scores_gemma":[0.00027327816,0.00018509771,0.00004759474,0.0006411032,0.000035858615,0.00026710358,0.00003131429,0.00017568294,0.000026173751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011366526,0.000041046897,0.33952516,0.00006394518,0.000038160884,0.000022235903,0.0001770097,0.6551295,0.0000012781406,0.00014112676,0.0048087486,0.000050658007],"study_design_scores_gemma":[0.0009396135,0.000023852264,0.38552368,0.000072141345,0.000012128067,0.0000046302935,0.00018084799,0.60871637,0.0000036657273,0.00003118515,0.0041936403,0.00029825713],"about_ca_topic_score_codex":0.05927093,"about_ca_topic_score_gemma":0.97848046,"teacher_disagreement_score":0.91920954,"about_ca_system_score_codex":0.00023821463,"about_ca_system_score_gemma":0.00004308778,"threshold_uncertainty_score":0.94699347},"labels":[],"label_agreement":null},{"id":"W7115061789","doi":"10.23977/jeeem.2025.080119","title":"Study on Rail Switching System for Railway Curve Operation Based on Finite Element Analysis","year":2025,"lang":"","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Welding; Finite element method; Deformation (meteorology); Beam (structure); Stability (learning theory); Static analysis","score_opus":0.004884420649166047,"score_gpt":0.22000846074681,"score_spread":0.21512404009764394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115061789","genre_codex":"methods","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":[0.021505766,0.0011294013,0.97371405,0.00063141953,0.00078721036,0.0015614581,0.000009037382,0.00036090214,0.00030072354],"genre_scores_gemma":[0.99408454,0.000497365,0.0047865207,0.00007906368,0.00011421839,0.00021062461,0.000007397079,0.000082479106,0.00013779619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996353,0.00008135918,0.0014637411,0.00062305166,0.0005090177,0.0009698662],"domain_scores_gemma":[0.9982105,0.00056671986,0.00030307457,0.0005921044,0.0001640374,0.00016357857],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014477839,0.00074201834,0.0013102457,0.0054657883,0.00022900691,0.00017547866,0.0005230034,0.00038039894,0.0000021343712],"category_scores_gemma":[0.0002505685,0.0007321994,0.00048811513,0.0029340202,0.000018828736,0.00010250421,0.00006595351,0.0014972651,0.0000020554005],"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":[0.00033158346,0.000495854,0.000077365,0.0006112461,0.0055729905,0.00010383652,0.000047055564,0.9609415,0.0007387697,0.019538878,0.00016227462,0.011378665],"study_design_scores_gemma":[0.0036189416,0.004736082,0.00047790047,0.00047102215,0.0031446698,0.000011160743,0.00013292608,0.9833342,0.0016646686,0.00005244676,0.0018206686,0.0005353035],"about_ca_topic_score_codex":0.0000037317348,"about_ca_topic_score_gemma":0.0000023358332,"teacher_disagreement_score":0.97257876,"about_ca_system_score_codex":0.0011520353,"about_ca_system_score_gemma":0.00006629682,"threshold_uncertainty_score":0.9995129},"labels":[],"label_agreement":null},{"id":"W7116835749","doi":"10.11159/ijci.2025.025","title":"Extraction of Bridge Vibration Characteristics Using A Mobile Shaker","year":2025,"lang":"","type":"article","venue":"International Journal of Civil Infrastructure","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shaker; Vibration; Extraction (chemistry); Bridge (graph theory); Noise (video)","score_opus":0.005956125043670586,"score_gpt":0.26050646522585535,"score_spread":0.25455034018218475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116835749","genre_codex":"methods","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":[0.47487172,0.00069617585,0.51286036,0.00008469918,0.010600871,0.000105908286,0.00017589385,0.000020853846,0.000583512],"genre_scores_gemma":[0.99212193,0.0006544718,0.006010178,0.000049184357,0.001021447,0.0000015918057,0.000027584716,0.0000386621,0.00007495763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99753827,0.000039182916,0.0014204619,0.00015794445,0.0006273309,0.00021679791],"domain_scores_gemma":[0.99776864,0.00011724035,0.0008525385,0.00019357268,0.0009787962,0.00008922166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025766712,0.00030725895,0.00050358014,0.0007559724,0.000042018633,0.00014163367,0.00048579587,0.00030550553,0.00027350112],"category_scores_gemma":[0.00016989686,0.00032653747,0.00029071825,0.0003156684,0.00006419151,0.0006102008,0.00006590372,0.0007507211,0.0000017599891],"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":[0.00017871037,0.000073629446,0.0035542378,0.00023458948,0.000986626,0.00005161912,0.00044302837,0.92972785,0.041794125,0.0013337148,0.0007439771,0.02087788],"study_design_scores_gemma":[0.0012614649,0.00013298872,0.20593032,0.0017548683,0.0003004286,0.0006380164,0.00009575105,0.77495986,0.004084841,0.0025461453,0.00791869,0.00037665336],"about_ca_topic_score_codex":0.000010796834,"about_ca_topic_score_gemma":0.000005380947,"teacher_disagreement_score":0.5172502,"about_ca_system_score_codex":0.000501897,"about_ca_system_score_gemma":0.00030546196,"threshold_uncertainty_score":0.99991864},"labels":[],"label_agreement":null},{"id":"W7117503207","doi":"10.1177/03611981251399635","title":"Dynamic Load Allowance of Bridges Subject to Autonomous Truck Platooning","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Railway Engineering and Dynamics","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":true,"ca_institutions":"McGill University","funders":"","keywords":"Allowance (engineering); Truck; Platoon; Parametric statistics; Bridge (graph theory); Finite element method; Surface roughness; Moving load; Surface finish","score_opus":0.024769497377614573,"score_gpt":0.3228810460757426,"score_spread":0.298111548698128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117503207","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":[0.96895146,0.0005473717,0.027805649,0.00070711103,0.00078889116,0.00059483986,0.00008826274,0.00007871237,0.00043772339],"genre_scores_gemma":[0.99394,0.00075272034,0.0042883777,0.000017813607,0.000040782208,0.000041505627,0.000009914093,0.000058278267,0.0008505855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99529177,0.00024584797,0.0012833074,0.00028678135,0.0021294495,0.00076286565],"domain_scores_gemma":[0.9964073,0.0006892632,0.00014671827,0.00047218573,0.0020222126,0.0002623546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026700413,0.00024879668,0.00050780684,0.0012506219,0.00022922529,0.00007605979,0.0010011077,0.00017332303,0.000047776284],"category_scores_gemma":[0.00018637782,0.00021605373,0.00032146243,0.002450006,0.00024365267,0.00031615444,0.0000066311754,0.0016736876,0.000010335042],"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":[0.0008620381,0.00013564283,0.07755406,0.0011452965,0.00036909344,0.00007536137,0.0031671978,0.8714181,0.024505595,0.0025446713,0.0034385405,0.014784382],"study_design_scores_gemma":[0.0012592343,0.0003534303,0.9498917,0.0010976886,0.000052690022,6.622805e-7,0.0009055411,0.030579528,0.0065859575,0.0010216075,0.00798003,0.00027195105],"about_ca_topic_score_codex":0.0019460559,"about_ca_topic_score_gemma":0.017823638,"teacher_disagreement_score":0.87233764,"about_ca_system_score_codex":0.0005822872,"about_ca_system_score_gemma":0.00068087364,"threshold_uncertainty_score":0.9946009},"labels":[],"label_agreement":null},{"id":"W7118071205","doi":"10.1007/s11771-025-6109-x","title":"Mechanical behavior of train-slab track coupled system under subgrade settlement and earthquake excitation","year":2025,"lang":"en","type":"article","venue":"Journal of Central South University","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subgrade; Settlement (finance); Slab; Track (disk drive); Amplitude; Derailment","score_opus":0.0064362023924067376,"score_gpt":0.18029692076286813,"score_spread":0.17386071837046138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118071205","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":[0.92414683,0.00011520533,0.07518173,0.00003362048,0.00031373315,0.00006350645,0.00004021222,0.000031070467,0.000074093674],"genre_scores_gemma":[0.9990244,0.000035277753,0.0008712238,0.000003062643,0.000020035686,5.9459367e-8,0.0000030198273,0.0000060191064,0.000036929338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99945253,0.000018511406,0.00020211423,0.00005697741,0.00012950756,0.00014032994],"domain_scores_gemma":[0.999706,0.000027964967,0.000068598434,0.000058212863,0.000054567317,0.00008471086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001120881,0.00008263073,0.00018466946,0.00012026992,0.000029877458,0.000009435986,0.00007834635,0.00006583125,0.0000043701352],"category_scores_gemma":[0.000005656662,0.00008606697,0.00007859724,0.00012278903,0.00001960427,0.00007966045,0.000009563886,0.00014634259,3.011058e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005246428,0.00032785407,0.019698575,0.0018091727,0.0015067136,0.00035518385,0.0065811183,0.8651309,0.02977991,0.06776994,0.0003491511,0.0061668386],"study_design_scores_gemma":[0.005109565,0.00025272396,0.646621,0.0005127826,0.0010886452,0.00005016611,0.011785898,0.3313959,0.0017333399,0.00011931052,0.00091081,0.0004198933],"about_ca_topic_score_codex":0.0000040803384,"about_ca_topic_score_gemma":0.0000057526418,"teacher_disagreement_score":0.6269224,"about_ca_system_score_codex":0.00015257778,"about_ca_system_score_gemma":0.000030963765,"threshold_uncertainty_score":0.3509709},"labels":[],"label_agreement":null},{"id":"W7118499476","doi":"10.4271/2025-99-0322","title":"Study on the Effect of Frequency-Modulated Rail Damper on Rail Vibration","year":2025,"lang":"","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Railway Engineering and Dynamics","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":"Damper; Vibration; Transverse plane; Vibration control; Tuned mass damper; Energy (signal processing)","score_opus":0.0069455325023429805,"score_gpt":0.23209085210135844,"score_spread":0.22514531959901546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118499476","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":[0.9261202,0.0005705103,0.000015790798,0.003366244,0.0015620064,0.0044836183,0.00017300935,0.0035845537,0.06012407],"genre_scores_gemma":[0.9964333,0.00033120994,0.0003805478,0.0007646822,0.00019482189,0.00081706874,0.00007665004,0.00033105075,0.0006706379],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99148625,0.00077161466,0.002476858,0.0019979177,0.0017195013,0.0015478276],"domain_scores_gemma":[0.9915438,0.0036355972,0.00036848005,0.0038813245,0.00017425095,0.000396507],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0021458464,0.0021028335,0.0023386704,0.0007447899,0.0006645523,0.0002495568,0.002146526,0.0018902938,0.00038867115],"category_scores_gemma":[0.0029018873,0.0015753268,0.0010849966,0.0026605497,0.001079847,0.0004248721,0.00047647496,0.003946414,0.00019479741],"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":[0.0011753477,0.0010994851,0.00049176044,0.00034554995,0.0005961444,0.00007326665,0.00012996217,0.01717804,0.9518469,0.021573812,0.001781043,0.0037086746],"study_design_scores_gemma":[0.0027404064,0.01333423,0.97416615,0.0018379772,0.00055400515,0.000020685826,0.00022277504,0.000026405602,0.0017873121,0.0010523932,0.0027975426,0.0014601181],"about_ca_topic_score_codex":0.000059897793,"about_ca_topic_score_gemma":0.007573599,"teacher_disagreement_score":0.9736744,"about_ca_system_score_codex":0.00088243134,"about_ca_system_score_gemma":0.00015924757,"threshold_uncertainty_score":0.99940544},"labels":[],"label_agreement":null},{"id":"W7131912363","doi":"","title":"Implementation of preventive rail grinding on Fortescue Metals Group 40 tonne axle load railway","year":2015,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grinding; Tonne; Train; Track (disk drive); Axle; Revenue; Railway system; Rail transportation","score_opus":0.014441360550088603,"score_gpt":0.24965500712855654,"score_spread":0.23521364657846794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7131912363","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":[0.9395216,0.00009332828,0.036831103,0.00002415727,0.000597318,0.00027151557,0.000049274408,0.0002707491,0.022340953],"genre_scores_gemma":[0.99552256,0.000017629225,0.004025982,0.000008720634,0.000080100916,0.00003236344,0.00003481064,0.000040399987,0.00023744671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902964,0.000018203607,0.0002711004,0.00015092464,0.0002767529,0.0002533928],"domain_scores_gemma":[0.99954444,0.000045531335,0.000045653946,0.00020462093,0.000056838722,0.00010291723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003239403,0.00016217878,0.0002192729,0.00010247324,0.000022650776,0.000017661967,0.00012081724,0.00006133313,0.00008778036],"category_scores_gemma":[0.000032361026,0.00016398907,0.00007985429,0.00017112774,0.000015146648,0.00014672718,0.000024670064,0.00011487846,0.000027412561],"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":[0.00016152744,0.00025719817,0.005252587,0.0006574473,0.0009910988,0.000030198516,0.008503369,0.5780108,0.25628772,0.03235483,0.012238886,0.105254315],"study_design_scores_gemma":[0.013145299,0.002226487,0.058394954,0.00062196027,0.000516369,0.000051753013,0.00832933,0.45796487,0.41104227,0.020761747,0.0238455,0.0030994525],"about_ca_topic_score_codex":0.000023445413,"about_ca_topic_score_gemma":0.000051332267,"teacher_disagreement_score":0.15475456,"about_ca_system_score_codex":0.00017790095,"about_ca_system_score_gemma":0.000025322654,"threshold_uncertainty_score":0.668728},"labels":[],"label_agreement":null},{"id":"W7131944238","doi":"","title":"Rail grinding on the South Central Railway Region of Indian Railways","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grinding; Track (disk drive); Pulverizer; Tangent; Railway system; Track geometry","score_opus":0.009462627201720506,"score_gpt":0.1720103108912499,"score_spread":0.1625476836895294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7131944238","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":[0.9597497,0.000024596351,0.003342448,0.00025164688,0.0005060971,0.00025554176,0.000008418545,0.00031824395,0.035543285],"genre_scores_gemma":[0.9990212,0.00001970515,0.0004161685,0.00004383408,0.00012702495,0.000029434439,0.0000060759025,0.000047568865,0.0002890369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990471,0.000018814586,0.00021311498,0.00013848532,0.00018267545,0.00039978334],"domain_scores_gemma":[0.99939126,0.00009479622,0.000037357167,0.0003496619,0.000024961199,0.000101961174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009575791,0.00017927874,0.0001719125,0.00010335802,0.00005832279,0.000038068927,0.00023713338,0.000097226766,0.000198161],"category_scores_gemma":[0.000050711158,0.00013496638,0.00008721576,0.00019085276,0.000044510605,0.00008638498,0.000017555414,0.00026918025,0.00013260293],"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":[0.00004035059,0.00013839356,0.010165104,0.00065123395,0.00038690792,0.00006362906,0.019327553,0.7461081,0.078933805,0.055222176,0.04537805,0.043584663],"study_design_scores_gemma":[0.0028615168,0.0004268529,0.1130003,0.0009414231,0.00008880956,0.00011880552,0.00313093,0.79584455,0.05785626,0.013046722,0.010199704,0.0024840948],"about_ca_topic_score_codex":0.00000976973,"about_ca_topic_score_gemma":0.0000023219077,"teacher_disagreement_score":0.10283519,"about_ca_system_score_codex":0.00005618869,"about_ca_system_score_gemma":0.000011354896,"threshold_uncertainty_score":0.55037695},"labels":[],"label_agreement":null},{"id":"W7131986509","doi":"","title":"Preventive grinding on Estrada de Ferro Carajás, Brazil","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tonnage; Tread; Grinding; Rail transportation; Tangent; Track (disk drive); Axle load","score_opus":0.004773195536102794,"score_gpt":0.19773295535044347,"score_spread":0.1929597598143407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7131986509","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":[0.92167,0.000028646553,0.0092135,0.0000562708,0.00035511408,0.00012581452,0.00000744226,0.00047816866,0.068064995],"genre_scores_gemma":[0.99489725,0.00001821847,0.004031192,0.000026915935,0.00009654755,0.00003216655,0.0000063136204,0.00003873678,0.0008526729],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999407,0.00000768386,0.00010049779,0.00010814618,0.00009604984,0.00028060572],"domain_scores_gemma":[0.9996906,0.000036297173,0.000009353099,0.00016120396,0.000012004186,0.00009056058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048930033,0.000125758,0.00010301105,0.000057626326,0.00003202275,0.000036621444,0.000107496155,0.00006665227,0.00014037601],"category_scores_gemma":[0.000016840087,0.0001296419,0.00004346172,0.000084988016,0.000010438073,0.00007934502,0.000010976182,0.00018284896,0.00020966098],"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":[0.000005910851,0.000057082223,0.0026509413,0.00018863034,0.00013433029,0.000030032053,0.0009609901,0.82015276,0.1111832,0.008845678,0.020962738,0.034827694],"study_design_scores_gemma":[0.00050940464,0.00009829442,0.041796595,0.00015182063,0.000023743101,0.000028690702,0.00011757762,0.9291477,0.015674893,0.0071679098,0.0046167905,0.00066657545],"about_ca_topic_score_codex":0.000014586356,"about_ca_topic_score_gemma":0.000004853978,"teacher_disagreement_score":0.10899493,"about_ca_system_score_codex":0.00010363138,"about_ca_system_score_gemma":0.000009806685,"threshold_uncertainty_score":0.52866435},"labels":[],"label_agreement":null},{"id":"W7132019217","doi":"","title":"Investigating the impact of frost heave and thaw softening on changing the vertical force at wheel/rail interface","year":2021,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Track (disk drive); Frost heaving; Deformation (meteorology); Surface finish; Frost (temperature); Culvert; Settlement (finance)","score_opus":0.009906886515570583,"score_gpt":0.22733944186944333,"score_spread":0.21743255535387274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132019217","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":[0.98792875,0.00029455996,0.0073695146,0.00025327917,0.00012687697,0.0000640061,0.000015620491,0.00009448494,0.003852918],"genre_scores_gemma":[0.9990745,0.000022322201,0.00061430153,0.000042370662,0.000059493537,0.000005928021,0.0000043377563,0.00003107146,0.00014563667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993248,0.000022492148,0.00014389899,0.00011938391,0.00012143216,0.00026802075],"domain_scores_gemma":[0.99938434,0.00028246277,0.000013582154,0.00023412063,0.00002350405,0.00006201427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016252705,0.00013632081,0.00014136793,0.000031682976,0.00011124901,0.000040403902,0.00010411355,0.000049906834,0.000029529449],"category_scores_gemma":[0.00015786727,0.00008393832,0.000067097586,0.00016394095,0.000070203685,0.00004351995,0.000093067276,0.0002421139,0.000005112836],"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":[0.000008896398,0.000009077503,0.0023578403,0.0000797901,0.00011685242,0.0000058541536,0.0053713797,0.63257456,0.35412586,0.0019004021,0.00065033935,0.002799145],"study_design_scores_gemma":[0.00017115526,0.00004386452,0.003350559,0.00015193544,0.000016106671,0.000033701795,0.00056803116,0.9555991,0.039303537,0.0005843617,0.000047008427,0.00013062508],"about_ca_topic_score_codex":0.000006411766,"about_ca_topic_score_gemma":0.000008113727,"teacher_disagreement_score":0.32302454,"about_ca_system_score_codex":0.00005589464,"about_ca_system_score_gemma":0.000015390113,"threshold_uncertainty_score":0.34229055},"labels":[],"label_agreement":null},{"id":"W7132146928","doi":"","title":"A rail data integration and analytics system and its application to heavy haul railway","year":2023,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Track (disk drive); Analytics; Accelerometer; Software deployment; Revenue; Identification (biology); System integration; Data integration","score_opus":0.01679625281113303,"score_gpt":0.23232266342950125,"score_spread":0.21552641061836822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132146928","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":[0.5029264,0.00028615215,0.48815033,0.0005469612,0.00038813916,0.00056776404,0.00025111696,0.0021656125,0.004717502],"genre_scores_gemma":[0.99769694,0.000086460735,0.0017856107,0.000011525987,0.000064823245,0.000024776473,0.00014559993,0.000025972062,0.00015826666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945205,0.000005961345,0.00012694593,0.00018624536,0.00008887346,0.00013991637],"domain_scores_gemma":[0.99954903,0.000033826316,0.000010134473,0.00029781493,0.000020876401,0.00008834049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017177568,0.000098541794,0.000114220835,0.00011452314,0.00003591422,0.000043277174,0.000110704306,0.000053326014,0.0000015196412],"category_scores_gemma":[0.00003570179,0.00009988126,0.000007880354,0.00030087636,0.000006324486,0.000099945064,0.00006658005,0.000077281795,0.000046734283],"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":[0.000035201672,0.000022773269,0.00043647445,0.001847353,0.00016237637,0.000020749972,0.0018783045,0.48723808,0.24027568,0.03448462,0.021164503,0.21243387],"study_design_scores_gemma":[0.00009184236,0.00001063183,0.0007270779,0.00004099095,0.000011828093,0.000007006682,0.00009769739,0.9953428,0.00050795375,0.00006423388,0.0029905092,0.0001074345],"about_ca_topic_score_codex":0.0000033280528,"about_ca_topic_score_gemma":0.000014919217,"teacher_disagreement_score":0.5081047,"about_ca_system_score_codex":0.000033434393,"about_ca_system_score_gemma":0.0000052180753,"threshold_uncertainty_score":0.40730396},"labels":[],"label_agreement":null},{"id":"W7132309005","doi":"","title":"Implementing optimized wheel and rail profiles on the Sacramento LRT","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Calibration; Noise (video); Work (physics); Window (computing)","score_opus":0.009462337832347038,"score_gpt":0.2082621532566702,"score_spread":0.19879981542432315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132309005","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":[0.88193303,0.00014321474,0.019333245,0.0007955824,0.00025825383,0.00028860802,0.000014514529,0.000585028,0.09664854],"genre_scores_gemma":[0.99236083,0.00017477517,0.0065405243,0.00007358923,0.00008478304,0.000040076946,0.0000065911377,0.00003380637,0.0006850411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993826,0.000009151511,0.000115614406,0.00010329737,0.00010109564,0.00028822414],"domain_scores_gemma":[0.99970007,0.00006910981,0.00001167055,0.00016436342,0.000009910642,0.00004489228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017900935,0.00011490728,0.00009740969,0.00003614375,0.000082099345,0.000059304988,0.00008529765,0.00003417883,0.00015957878],"category_scores_gemma":[0.000022557573,0.00008604107,0.000027462822,0.000077752484,0.000015507589,0.000042644057,0.000028093164,0.00012326559,0.00001859442],"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":[0.000104398045,0.00011441147,0.003693366,0.00030695778,0.00047321123,0.00006762067,0.0029460888,0.58029616,0.15054163,0.059095796,0.046409346,0.155951],"study_design_scores_gemma":[0.0006054312,0.000035650486,0.00077501807,0.000048799317,0.00001617323,0.0000149808475,0.0002318333,0.9485971,0.001582538,0.0011162111,0.046714295,0.00026199754],"about_ca_topic_score_codex":0.000002757544,"about_ca_topic_score_gemma":0.0000024500653,"teacher_disagreement_score":0.3683009,"about_ca_system_score_codex":0.00002503309,"about_ca_system_score_gemma":0.0000036268266,"threshold_uncertainty_score":0.35086533},"labels":[],"label_agreement":null},{"id":"W7132382152","doi":"","title":"The impact of relative wheel-rail hardness on RCF, plastic flow, and rail grinding","year":2022,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grinding; Indentation hardness; Hardness; Plasticity; Wear resistance","score_opus":0.00665742642078546,"score_gpt":0.2059203819947353,"score_spread":0.19926295557394985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132382152","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":[0.98438454,0.00013617706,0.0038767466,0.00003128543,0.0007390637,0.00010448905,0.00008489774,0.0001602138,0.010482597],"genre_scores_gemma":[0.9992682,0.000034178018,0.0002738798,0.000002218421,0.000037382044,0.000022015396,0.0000072938906,0.000032344564,0.0003225216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935824,0.000022899867,0.0001404769,0.00010919749,0.00016153118,0.0002076634],"domain_scores_gemma":[0.99943584,0.00030525422,0.000024371893,0.00016734526,0.000013051774,0.00005415859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015986804,0.00012819693,0.0001386658,0.00007005415,0.00016934266,0.000021722095,0.00011961209,0.00003075782,0.00006527932],"category_scores_gemma":[0.00008012005,0.00009947358,0.00006355458,0.00015480413,0.0000309967,0.000054835455,0.000050269005,0.00030236752,0.00000505993],"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":[0.000025718175,0.000010763625,0.00054739806,0.00002112735,0.00008305815,0.000004858063,0.0006710281,0.98920774,0.003775847,0.0017296927,0.0012364954,0.0026862551],"study_design_scores_gemma":[0.0003703126,0.0001732774,0.014343802,0.000026501819,0.000014435891,0.000012667804,0.0001507236,0.9825914,0.00014807699,0.0009991253,0.0010014769,0.00016818853],"about_ca_topic_score_codex":0.0000052873497,"about_ca_topic_score_gemma":0.0000021814435,"teacher_disagreement_score":0.0148836365,"about_ca_system_score_codex":0.00013276783,"about_ca_system_score_gemma":0.00001662577,"threshold_uncertainty_score":0.4056415},"labels":[],"label_agreement":null},{"id":"W7132387222","doi":"","title":"Total friction management on Canadian Pacific","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tonnage; Upgrade; Track (disk drive); Unit (ring theory); Control (management); Crusher; State (computer science); Government (linguistics)","score_opus":0.0035897570330956697,"score_gpt":0.16436796100381054,"score_spread":0.16077820397071488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132387222","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":[0.110421106,0.000016443317,0.0041515767,0.00020126885,0.000579603,0.000077608456,0.000009045263,0.00044867775,0.88409466],"genre_scores_gemma":[0.9976714,0.000020180287,0.0011519991,0.00003102512,0.000057788257,0.0000034248624,0.000009249184,0.000011526589,0.0010433669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962616,0.0000017508447,0.0000560003,0.00007175171,0.000065022374,0.00017929153],"domain_scores_gemma":[0.9997742,0.000002844746,0.0000027724345,0.000121519835,0.000004241429,0.00009442773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000235408,0.00007292088,0.00004752117,0.00010848181,0.000029757593,0.000017540971,0.00004055006,0.00003473278,0.000046463145],"category_scores_gemma":[0.0000011932495,0.000079515885,0.000020396128,0.000090961716,0.0000022471056,0.000026740165,0.0000013972148,0.00007506738,0.00011853342],"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":[0.0000035492699,0.0000173252,0.000047186186,0.0000253133,0.000032510874,0.000055689452,0.00016074038,0.8080263,0.0027400854,0.031235386,0.018631844,0.13902408],"study_design_scores_gemma":[0.00033964647,0.00013140145,0.031934638,0.000049220496,0.00001693346,0.0000165609,0.00010665294,0.90391254,0.00054417836,0.0035482822,0.058905404,0.00049453485],"about_ca_topic_score_codex":0.00006511112,"about_ca_topic_score_gemma":0.00014528785,"teacher_disagreement_score":0.8872503,"about_ca_system_score_codex":0.0001232367,"about_ca_system_score_gemma":0.0000032627458,"threshold_uncertainty_score":0.32425636},"labels":[],"label_agreement":null},{"id":"W7132399277","doi":"","title":"Automating track inspection with instrumented hi-rail truck","year":2024,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Truck; Software deployment; Train; Automation; Identification (biology); Software; Suite; Range (aeronautics)","score_opus":0.004247448223623382,"score_gpt":0.1832019920872548,"score_spread":0.1789545438636314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132399277","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":[0.9045537,0.00012156987,0.04703717,0.0000742477,0.0007422815,0.000087947694,0.000010417201,0.006088244,0.04128441],"genre_scores_gemma":[0.9910501,0.000019302388,0.008479346,0.0000071539844,0.00011110385,0.000014041742,0.000011755511,0.000053721167,0.00025342303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945265,0.0000042304628,0.000121384925,0.00012816225,0.00011514804,0.00017840943],"domain_scores_gemma":[0.99979746,0.000018914303,0.000006369083,0.00011862489,0.000010096741,0.00004854329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049705046,0.00012452365,0.00009533573,0.00010098376,0.00003533679,0.000078396435,0.000055708115,0.00005312164,0.000053476862],"category_scores_gemma":[0.0000059244912,0.000111623216,0.000029461067,0.00026047174,0.000014167241,0.00014311513,0.0000064286924,0.00019084102,0.00006279102],"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":[0.00001557385,0.000034477373,0.0008225278,0.0011942458,0.0003109704,0.000109290006,0.0021921154,0.6119944,0.11877013,0.01299494,0.0038939826,0.24766733],"study_design_scores_gemma":[0.00013718079,0.00003538953,0.0013149612,0.00013964377,0.000013394519,0.00004310366,0.000042108306,0.9937631,0.0019509092,0.00022334317,0.002176888,0.00015996644],"about_ca_topic_score_codex":0.000002668535,"about_ca_topic_score_gemma":0.0000064550327,"teacher_disagreement_score":0.3817687,"about_ca_system_score_codex":0.00009491926,"about_ca_system_score_gemma":0.000012616764,"threshold_uncertainty_score":0.45518625},"labels":[],"label_agreement":null},{"id":"W7132412197","doi":"","title":"Evaluation of ride quality and rail surface roughness from vibration analysis of in-service passenger rail cars","year":2021,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Ride quality; Track (disk drive); Accelerometer; Axle; Vibration; Acceleration; Surface roughness; Surface finish","score_opus":0.028652268598822264,"score_gpt":0.27251735858531073,"score_spread":0.24386508998648848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132412197","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":[0.9895127,0.0003189262,0.00917379,0.00005837954,0.0000863393,0.000052807693,0.000072237184,0.000031341373,0.0006934845],"genre_scores_gemma":[0.9968307,0.00005980616,0.002946193,0.000007758353,0.000010699061,0.0000036896295,0.00012400448,0.0000116335395,0.000005503069],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990113,0.00010680856,0.00031576364,0.00013820927,0.0003380277,0.000089937974],"domain_scores_gemma":[0.9992943,0.00013987302,0.000049067534,0.00022793394,0.0002614239,0.000027427519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067412417,0.000087681794,0.0002890188,0.00008789383,0.00000863663,0.000010106883,0.00004839257,0.000073431285,0.00006518145],"category_scores_gemma":[0.000109283515,0.0001009517,0.000046870136,0.00075647066,0.000009724986,0.000094755575,0.000015843583,0.000072796654,6.5627074e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029602456,0.00001312568,0.0050831344,0.000047108755,0.00021773778,5.366424e-7,0.00061223126,0.78915256,0.20285147,0.00006692461,0.000004012497,0.001948203],"study_design_scores_gemma":[0.00024857474,0.0000022148029,0.26331297,0.000016678596,0.0003070508,1.0645103e-7,0.00015899206,0.72319955,0.01237843,0.0003016487,0.0000060160824,0.000067749235],"about_ca_topic_score_codex":0.00029942562,"about_ca_topic_score_gemma":0.001597105,"teacher_disagreement_score":0.25822985,"about_ca_system_score_codex":0.000055827488,"about_ca_system_score_gemma":0.0000379547,"threshold_uncertainty_score":0.4116691},"labels":[],"label_agreement":null},{"id":"W7132460285","doi":"","title":"Development of a daily updated train derailment impact map and analytics system for the national railway network in Canada","year":2021,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Derailment; Ranking (information retrieval); Analytics; Domain (mathematical analysis); Data analysis; Key (lock); Product (mathematics)","score_opus":0.010168839700053391,"score_gpt":0.20696322279940646,"score_spread":0.19679438309935307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132460285","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":[0.88190365,0.0010291451,0.11238123,0.00039018982,0.00086409936,0.000522451,0.00027119034,0.00011620548,0.0025218544],"genre_scores_gemma":[0.9818489,0.0000073642127,0.017986823,0.000013617321,0.000033941207,0.000019612491,0.00004259699,0.0000145826125,0.000032537966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936414,0.0000073066085,0.00021870689,0.00008238537,0.00014920969,0.00017826073],"domain_scores_gemma":[0.9997071,0.0000947454,0.00001902642,0.00008747654,0.00005015046,0.00004152706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000180624,0.00009140791,0.00013752734,0.000026599937,0.00003201395,0.0000131916,0.000075242446,0.00002730784,0.000012257254],"category_scores_gemma":[0.00001770193,0.00007502164,0.000022683085,0.00014426222,0.000005911891,0.00001768681,0.000017066712,0.000065448454,2.6270595e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051598895,0.000004047487,0.00037124788,0.00012698314,0.000112706846,0.000003298416,0.0002025912,0.9913974,0.0016955843,0.00049961935,0.003813029,0.0017683565],"study_design_scores_gemma":[0.00031852824,0.0000036492183,0.0069515756,0.00005363659,0.000009950807,0.000006038601,0.00025302893,0.9881731,0.00056435185,0.000063687105,0.0035006152,0.00010181242],"about_ca_topic_score_codex":0.0014578487,"about_ca_topic_score_gemma":0.11369686,"teacher_disagreement_score":0.11223901,"about_ca_system_score_codex":0.0005581366,"about_ca_system_score_gemma":0.0005480786,"threshold_uncertainty_score":0.9024759},"labels":[],"label_agreement":null},{"id":"W7132476433","doi":"","title":"Implementing 100% effective gauge-face lubrication and TOR friction management strategies on MRS heavy haul railroad","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lubrication; Earnings; Presentation (obstetrics); Business management; Strategic management","score_opus":0.00458506084551884,"score_gpt":0.2179190871430948,"score_spread":0.21333402629757595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132476433","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":[0.7705936,0.0001787854,0.13569623,0.00021122323,0.00035436105,0.0005547913,0.0000130759945,0.0008412484,0.09155668],"genre_scores_gemma":[0.9966159,0.00011884932,0.0029578074,0.000023795246,0.00006906442,0.000028787632,0.000019130423,0.000019182808,0.00014751543],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992952,0.000011690558,0.00013518427,0.00017095525,0.00011958984,0.00026737858],"domain_scores_gemma":[0.9997399,0.000026737325,0.000020749781,0.00015014118,0.000013770499,0.000048699305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012520605,0.0001470435,0.00011071137,0.00009912508,0.000085275686,0.00007628032,0.00005674711,0.000046382436,0.000013125536],"category_scores_gemma":[0.0000050672425,0.00015584352,0.00002804749,0.00013196553,0.0000074808527,0.00014211632,0.000012934575,0.00011077423,0.000015238777],"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":[0.000041107964,0.000068081565,0.00013510707,0.00024868103,0.00013982215,0.000012321161,0.0010028165,0.2559828,0.032819666,0.05126123,0.0028355466,0.65545285],"study_design_scores_gemma":[0.0013003935,0.0005367291,0.07908926,0.00019093884,0.00009385238,0.000014063343,0.0014456661,0.87885964,0.0075223013,0.010209046,0.019875143,0.0008629613],"about_ca_topic_score_codex":0.0000051957227,"about_ca_topic_score_gemma":0.000003469784,"teacher_disagreement_score":0.6545899,"about_ca_system_score_codex":0.00009630449,"about_ca_system_score_gemma":0.0000027856095,"threshold_uncertainty_score":0.6355114},"labels":[],"label_agreement":null},{"id":"W7132532023","doi":"","title":"Lessons learned from long-term frost heave monitoring under a railway embankment","year":2021,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Frost heaving; Track (disk drive); Frost (temperature); Snow; Track geometry; Levee; Deformation (meteorology)","score_opus":0.03255716316499138,"score_gpt":0.2609054912108504,"score_spread":0.228348328045859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132532023","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":[0.9270201,0.00085452804,0.06220932,0.00086409395,0.0019780304,0.00008281009,0.00008708626,0.00076059107,0.00614346],"genre_scores_gemma":[0.99356294,0.00036890837,0.004537424,0.00002505949,0.00039459902,0.000019400703,0.000086592045,0.00007836588,0.0009267333],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989551,0.000017332512,0.00017808354,0.00027830692,0.00020621026,0.00036500613],"domain_scores_gemma":[0.9993195,0.0000710903,0.00001685139,0.00041606184,0.000036719128,0.00013980403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005731901,0.00021542254,0.00022900512,0.000053690317,0.000064539985,0.00009522978,0.0001402666,0.00012360967,0.00024159496],"category_scores_gemma":[0.000020608471,0.00024379104,0.00009271954,0.0001602326,0.000017705292,0.000085198735,0.000055782668,0.00028848744,0.00012245117],"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":[0.000014125266,0.00009130274,0.010039961,0.00012993238,0.00037870888,0.00028914236,0.0007755015,0.37236184,0.5663289,0.0014040545,0.0011574107,0.047029156],"study_design_scores_gemma":[0.0036577783,0.00008960026,0.28752223,0.0010182274,0.00025547005,0.0000745846,0.00082248973,0.26709205,0.41771674,0.011457251,0.007486722,0.0028068486],"about_ca_topic_score_codex":0.000007351206,"about_ca_topic_score_gemma":0.00001707656,"teacher_disagreement_score":0.27748227,"about_ca_system_score_codex":0.00015222612,"about_ca_system_score_gemma":0.000032077143,"threshold_uncertainty_score":0.99415106},"labels":[],"label_agreement":null},{"id":"W7132542243","doi":"","title":"Using emerging technologies for monitoring surface water near railway tracks","year":2021,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"Transport Canada","keywords":"Culvert; Visibility; Track (disk drive); Radar; Synthetic aperture radar; Range (aeronautics); Surface water; Global Positioning System; Geospatial analysis","score_opus":0.017127845019146586,"score_gpt":0.24080934427270909,"score_spread":0.2236814992535625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132542243","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":[0.8642289,0.00039899815,0.13131253,0.00010546238,0.0010263489,0.00009334684,0.000012199737,0.0015145236,0.0013077134],"genre_scores_gemma":[0.87063575,0.000054753313,0.12898599,0.000002107473,0.00008162467,0.000008814619,0.000008489341,0.000060306695,0.00016217059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915576,0.000004911387,0.00016512648,0.00017485669,0.00009824412,0.00040110358],"domain_scores_gemma":[0.99962914,0.000035161247,0.000009031672,0.00024242638,0.00004969447,0.00003453046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000894902,0.00015936188,0.00017189994,0.00003859804,0.000106108586,0.0000785419,0.00011554577,0.00012304811,0.00001847377],"category_scores_gemma":[0.000033286982,0.00015040603,0.000074561445,0.00012661668,0.000021448253,0.000107758424,0.000037480597,0.00017194483,0.00000950652],"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":[0.0000012955921,0.0000040174104,0.00013670622,0.0000706117,0.000022828135,0.00000799122,0.00018255124,0.5375902,0.45787358,0.000074601136,0.000052775973,0.0039828145],"study_design_scores_gemma":[0.00014265023,0.0000056223043,0.000022221502,0.000037218288,0.000012498913,0.00001093686,0.00024205819,0.5884461,0.40667745,0.00049185625,0.0037304007,0.00018104042],"about_ca_topic_score_codex":0.0000012283103,"about_ca_topic_score_gemma":6.2795044e-7,"teacher_disagreement_score":0.05119615,"about_ca_system_score_codex":0.000068440124,"about_ca_system_score_gemma":0.00001268123,"threshold_uncertainty_score":0.61333805},"labels":[],"label_agreement":null},{"id":"W7132549525","doi":"","title":"The consideration of a changing climate for continuously welded rail","year":2021,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Climate change; Global warming; Climate model; Heat stress; Stress (linguistics); Effects of global warming; Heat wave; Thermal","score_opus":0.007254425904858038,"score_gpt":0.20410371358163532,"score_spread":0.19684928767677728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132549525","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":[0.5537452,0.0012645083,0.41005433,0.0010913865,0.0022016286,0.0005285117,0.00012309628,0.0007389813,0.030252371],"genre_scores_gemma":[0.99346536,0.00012632154,0.0060243653,0.000017625754,0.000060933584,0.000027639207,0.000014901744,0.000020618118,0.00024222456],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995438,0.0000060385037,0.00013075316,0.000060309798,0.000054140877,0.00020499942],"domain_scores_gemma":[0.99963355,0.00014955798,0.00001566127,0.00012294593,0.000058753678,0.000019505127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015010226,0.00006053303,0.00009492175,0.000024309313,0.00007673278,0.00002758515,0.000038107093,0.00003267714,0.000009884854],"category_scores_gemma":[0.0000795235,0.000052624473,0.0000448905,0.00007808941,0.0000127666,0.000027762195,0.0000120869445,0.000046536163,0.0000022980066],"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":[0.000032264932,0.000025956813,0.00016133176,0.00058397726,0.00018113409,0.000012990319,0.0017345763,0.19413263,0.6055367,0.14830072,0.0051005916,0.044197112],"study_design_scores_gemma":[0.00044387646,0.000018717941,0.00008403725,0.000046929774,0.000018149012,0.000011546612,0.00035654366,0.92605084,0.062093947,0.002204462,0.008541746,0.00012921436],"about_ca_topic_score_codex":2.3524721e-7,"about_ca_topic_score_gemma":0.000006491183,"teacher_disagreement_score":0.7319182,"about_ca_system_score_codex":0.0000122081,"about_ca_system_score_gemma":0.000011208304,"threshold_uncertainty_score":0.21459638},"labels":[],"label_agreement":null},{"id":"W7132632241","doi":"","title":"Predictive preventive grinding model to control rolling contact fatigue in rails is tested on BNSF railway","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grind; Grinding; Abrasion (mechanical); Surface mining; Surface grinding","score_opus":0.022423936033711716,"score_gpt":0.22286564731465985,"score_spread":0.20044171128094815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132632241","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":[0.6168336,0.000025230855,0.3516987,0.000033189495,0.00027922663,0.00064453,0.00012378504,0.00045949788,0.029902248],"genre_scores_gemma":[0.994569,0.000010985494,0.004895405,0.00008388183,0.000050511146,0.00012281393,0.0000072261882,0.00007099109,0.00018918219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986969,0.000023930654,0.00032067392,0.00029880402,0.00019665617,0.00046301447],"domain_scores_gemma":[0.99938345,0.0001087837,0.00003265418,0.00026804273,0.000042280288,0.00016476701],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019799233,0.0002800885,0.00033759305,0.00028532147,0.000039635906,0.0000253062,0.00020129175,0.0001392769,0.000060244143],"category_scores_gemma":[0.000072349445,0.00029294798,0.00008273945,0.00026230112,0.000011730229,0.00015576361,0.00002089543,0.00034159346,0.000042479278],"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":[0.00011237048,0.00005584144,0.001703775,0.000038733015,0.000089900605,0.000014231062,0.004135219,0.9782259,0.0126707535,0.0011817046,0.00025108893,0.001520486],"study_design_scores_gemma":[0.0011663422,0.00014115812,0.005790531,0.00021274886,0.000020292244,0.0000017732136,0.000086675704,0.98466605,0.0063386625,0.0012307775,0.00002694194,0.00031802186],"about_ca_topic_score_codex":0.000009788973,"about_ca_topic_score_gemma":0.000016068876,"teacher_disagreement_score":0.3777354,"about_ca_system_score_codex":0.00019908152,"about_ca_system_score_gemma":0.000021709151,"threshold_uncertainty_score":0.99995226},"labels":[],"label_agreement":null},{"id":"W7132658169","doi":"","title":"Rail failure root cause analysis on North American Railway","year":2021,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Derailment; Third rail; Root cause; Ballast; Train; Grinding; Track geometry","score_opus":0.005401814152818801,"score_gpt":0.19794989929568343,"score_spread":0.19254808514286464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132658169","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":[0.96565807,0.00003804706,0.022269696,0.00021650092,0.00019824269,0.000044584027,0.000050376384,0.00060160423,0.010922862],"genre_scores_gemma":[0.9951423,0.00003407426,0.0038256412,0.000053760366,0.00009436859,0.000011761731,0.00010692873,0.000047580877,0.00068358646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905044,0.000017831826,0.00017528763,0.00023955145,0.00020092007,0.0003159618],"domain_scores_gemma":[0.99926347,0.000055708773,0.000021363603,0.00047445958,0.0000456441,0.0001393321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045700377,0.0001965173,0.00030955815,0.00019107324,0.0000425874,0.00004859127,0.00012938837,0.00004374435,0.00017126053],"category_scores_gemma":[0.00003782298,0.000205508,0.0001631153,0.0015448468,0.000028343113,0.000048861973,0.000021871523,0.00024083842,0.00010221545],"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":[0.0000042989795,0.000030369343,0.015652593,0.000026683363,0.00084734155,0.000112292044,0.00015677809,0.9677744,0.0028729443,0.00038191176,0.003719263,0.008421118],"study_design_scores_gemma":[0.0004705358,0.00007828698,0.18446665,0.000020675328,0.00061039365,0.000017728373,0.00011040685,0.77620953,0.0032596758,0.00008513135,0.03377595,0.0008950502],"about_ca_topic_score_codex":0.000008236344,"about_ca_topic_score_gemma":0.0013002589,"teacher_disagreement_score":0.19156489,"about_ca_system_score_codex":0.00007331944,"about_ca_system_score_gemma":0.000018825753,"threshold_uncertainty_score":0.8380373},"labels":[],"label_agreement":null},{"id":"W7132741112","doi":"","title":"Fibre optic sensing for thermal stress measurement","year":2020,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Optical fiber; Stress (linguistics); Welding; Track (disk drive); Ultimate tensile strength; Thermal; Temperature measurement; Thermal expansion","score_opus":0.020219643091256456,"score_gpt":0.19408082893679973,"score_spread":0.17386118584554328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132741112","genre_codex":"methods","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":[0.31140238,0.00021592308,0.6684785,0.00063935533,0.0006180636,0.00034590188,0.000065903434,0.0013048694,0.01692913],"genre_scores_gemma":[0.9781007,0.0000031242037,0.021603055,0.000034651144,0.00019557728,0.0000041539265,0.0000063414295,0.00003618771,0.000016173313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952435,0.0000032441246,0.000090301335,0.00008979147,0.00012155979,0.00017074893],"domain_scores_gemma":[0.9997845,0.000015640657,0.000006772601,0.000087627915,0.000029397968,0.00007605125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048103695,0.00009296801,0.00009416175,0.000014504117,0.000024010978,0.000021380825,0.00005990444,0.000035970876,0.000013087337],"category_scores_gemma":[0.000028362581,0.00009530247,0.00004236114,0.000049675204,0.0000056985414,0.000032914028,0.000008820882,0.00007152751,0.000011315718],"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":[0.000006213326,0.0000031378074,0.00001026878,0.00019516132,0.000036200057,0.0000042332304,0.00024768375,0.77782893,0.2077834,0.00027336823,0.0007720985,0.012839281],"study_design_scores_gemma":[0.00017745877,0.000024494819,0.000060072227,0.00002704076,0.000011018036,0.0000012232841,0.00002455161,0.9849743,0.012930622,0.00005249696,0.0015951053,0.00012157991],"about_ca_topic_score_codex":3.765003e-7,"about_ca_topic_score_gemma":5.7952786e-7,"teacher_disagreement_score":0.66669834,"about_ca_system_score_codex":0.000034282755,"about_ca_system_score_gemma":0.000007687784,"threshold_uncertainty_score":0.38863218},"labels":[],"label_agreement":null},{"id":"W7133053802","doi":"","title":"Rautatiesiltojen dynaaminen tarkastelu suurnopeuksilla","year":2024,"lang":"fi","type":"dissertation","venue":"Trepo - Institutional Repository of Tampere University","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Quarter (Canadian coin); Consistency (knowledge bases)","score_opus":0.0051637710891591455,"score_gpt":0.18354044294378638,"score_spread":0.17837667185462724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133053802","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":[0.8476058,0.0026581318,0.0016484093,0.00003725124,0.007400515,0.00040387883,0.0006131359,0.00054741214,0.13908547],"genre_scores_gemma":[0.9122575,0.0003644191,0.0014687988,0.0000042926836,0.00034021144,0.0000026477492,0.001615488,0.00009827116,0.08384838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971437,0.00006923196,0.00078086805,0.0007665441,0.0007607393,0.00047892565],"domain_scores_gemma":[0.9982539,0.00015989183,0.00028508683,0.0005979194,0.0004228948,0.00028030388],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016262254,0.0007627754,0.0008326703,0.0007326787,0.00056752615,0.00009371735,0.0006188765,0.0007821385,0.00008023794],"category_scores_gemma":[0.00008781633,0.0009278996,0.00059988815,0.0006207558,0.00038039344,0.00044158867,0.000115366674,0.00094651687,0.00013744472],"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":[0.00039277237,0.00024260816,0.0007528791,0.00588212,0.001955663,0.0032342807,0.005548245,0.9474555,0.013711305,0.017597817,0.0014801741,0.0017466159],"study_design_scores_gemma":[0.0039318656,0.00083974894,0.031152345,0.010099749,0.0048210258,0.0019858063,0.017803734,0.5972875,0.013022235,0.000561404,0.31220785,0.0062867594],"about_ca_topic_score_codex":0.001114091,"about_ca_topic_score_gemma":0.000148583,"teacher_disagreement_score":0.35016802,"about_ca_system_score_codex":0.001345682,"about_ca_system_score_gemma":0.0009624293,"threshold_uncertainty_score":0.99931717},"labels":[],"label_agreement":null},{"id":"W7133426672","doi":"","title":"Ground propagation of vibrations using ABAQUS: the case of urban railway transport","year":2007,"lang":"en","type":"article","venue":"ORBi UMONS","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Vibration; Ground vibrations; Wave propagation; Ground wave propagation","score_opus":0.011050707898881428,"score_gpt":0.22052829073463567,"score_spread":0.20947758283575424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133426672","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":[0.71155125,0.00006996958,0.28678784,0.000009388622,0.00012501997,0.000109983885,0.000023758026,0.00006841356,0.0012543704],"genre_scores_gemma":[0.997121,0.00001335759,0.0027394462,0.00000221808,0.000048124293,0.0000032142668,0.0000102587965,0.000024459521,0.000037949725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943733,0.0000064587416,0.00026448185,0.000072288545,0.0000789117,0.0001405404],"domain_scores_gemma":[0.9996309,0.000056099758,0.000038844464,0.0002010653,0.000037746326,0.00003529644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021057941,0.00009159247,0.00011864468,0.00008298017,0.000050041996,0.0000054593875,0.00006898328,0.000054125034,0.000008725798],"category_scores_gemma":[0.000010813615,0.00007677888,0.00005624797,0.00025831148,0.00004623986,0.00009112642,0.0000040593677,0.000098556084,0.0000010880591],"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":[0.000010034068,0.00006315427,0.004658375,0.0002512931,0.00012043428,0.0001751952,0.0029781274,0.9003801,0.08164146,0.007289617,0.00008726939,0.0023449878],"study_design_scores_gemma":[0.00028614962,0.000042054588,0.020800933,0.00007462435,0.000117752774,0.000449062,0.00059339404,0.96322227,0.013739683,0.00012441346,0.00029731102,0.00025232817],"about_ca_topic_score_codex":0.00016305811,"about_ca_topic_score_gemma":0.0002227677,"teacher_disagreement_score":0.28556973,"about_ca_system_score_codex":0.0000319778,"about_ca_system_score_gemma":0.000016525502,"threshold_uncertainty_score":0.31309518},"labels":[],"label_agreement":null},{"id":"W7138893151","doi":"10.1680/caftibdcam2.30916.0038","title":"How effective is bridge posting in enhancing reliability?","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Railway Engineering and Dynamics","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":"Western University","funders":"","keywords":"Bridge (graph theory); Reliability (semiconductor); Truck; Monte Carlo method; Enforcement; Imperfect","score_opus":0.0053259875271102096,"score_gpt":0.18289561628200277,"score_spread":0.17756962875489254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138893151","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004713465,0.00070851314,0.03871248,0.00008288795,0.0007442268,0.00053008995,0.000044815897,0.0011644545,0.95329905],"genre_scores_gemma":[0.41201633,0.0006285113,0.0021087646,0.00009089282,0.00055143266,0.00004658631,0.00007615392,0.00048625396,0.5839951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987713,0.0000051578304,0.00029460495,0.00037597585,0.00018109448,0.00037186497],"domain_scores_gemma":[0.99924904,0.00017937315,0.00003536377,0.000404136,0.000044219447,0.00008784624],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016701156,0.0004644194,0.00047839415,0.00026392046,0.000023997682,0.000068549176,0.00014726252,0.0004470385,0.00007101038],"category_scores_gemma":[0.0000650372,0.0005030327,0.0001448878,0.000064900734,0.000022001032,0.0001194696,0.000041094005,0.0007401324,0.0000678992],"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":[0.000043483415,0.000064708445,0.0014673083,0.005427642,0.0007043326,0.00086053717,0.0028555966,0.7610081,0.002971691,0.04621134,0.0072376477,0.17114761],"study_design_scores_gemma":[0.0017054842,0.00029758032,0.005015815,0.00468905,0.00019853537,0.00019782805,0.00008748751,0.69830567,0.0025589347,0.010165959,0.27073687,0.0060407687],"about_ca_topic_score_codex":0.000048283757,"about_ca_topic_score_gemma":0.00014256698,"teacher_disagreement_score":0.40730286,"about_ca_system_score_codex":0.000384121,"about_ca_system_score_gemma":0.000014273145,"threshold_uncertainty_score":0.99974215},"labels":[],"label_agreement":null},{"id":"W7161822261","doi":"10.82308/54220","title":"Enhancing the stability of railroad ballast with geogrid reinforcement: an experimental and discrete element modeling study","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ballast; Geogrid; Track (disk drive); Subgrade; Track geometry; Ultimate tensile strength; Geotextile; Geosynthetics","score_opus":0.006970794947577844,"score_gpt":0.23268545673690177,"score_spread":0.22571466178932392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161822261","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":[0.9817372,0.00083067105,0.014198723,0.0000020309033,0.00030820104,0.0006168456,0.00001456098,0.00023398614,0.0020577884],"genre_scores_gemma":[0.99894214,0.000033076532,0.000358803,0.0000018989072,0.000047157446,0.000097443495,0.0002405211,0.00007925543,0.00019972294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986955,0.000014334856,0.00044665608,0.0003008547,0.00031461287,0.0002280469],"domain_scores_gemma":[0.9994725,0.000019359666,0.00003730942,0.00036217103,0.00004164736,0.00006702318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023812457,0.00034106564,0.00030111845,0.000085947686,0.00006251038,0.000085213156,0.00014472856,0.00007895643,0.00003963736],"category_scores_gemma":[0.0000040004984,0.00022899368,0.00004724458,0.0001072423,0.000015190481,0.00011920294,0.000029081873,0.00027157264,0.0000014738108],"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":[0.0000623394,0.000050937986,0.0000910812,0.0007134891,0.00027013713,0.0000037151397,0.016402874,0.9717626,0.010210353,0.00017120209,0.000004229047,0.00025705236],"study_design_scores_gemma":[0.00024956345,0.00033269273,0.00012356733,0.00016243912,0.00010166923,0.0000016787327,0.043864742,0.9425349,0.012322763,0.000005880613,0.0000063312655,0.00029373475],"about_ca_topic_score_codex":0.0002304037,"about_ca_topic_score_gemma":0.0011495682,"teacher_disagreement_score":0.029227654,"about_ca_system_score_codex":0.00007814427,"about_ca_system_score_gemma":0.000025616859,"threshold_uncertainty_score":0.93380916},"labels":[],"label_agreement":null},{"id":"W7161966304","doi":"10.82308/14115","title":"Validation of seismic response prediction of a guyed telecommunication mast with ambient vibration measurements","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ambient vibration; Seismic noise; Reinforced concrete; Seismic survey","score_opus":0.012728836554718036,"score_gpt":0.20781283865482963,"score_spread":0.1950840021001116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161966304","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":[0.9546792,0.00007881933,0.042330727,0.0000069670714,0.00029215857,0.00048380927,0.00006044933,0.00022944307,0.0018384306],"genre_scores_gemma":[0.9921073,0.00007367439,0.0037509433,0.0000016125799,0.000016631033,0.000084851956,0.003037219,0.00006759182,0.000860211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987675,0.000057474248,0.0005318508,0.00014926853,0.00036674752,0.00012718784],"domain_scores_gemma":[0.9989586,0.00004068141,0.00021426873,0.00043781055,0.00031122303,0.000037407215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027661602,0.00022376,0.00027292522,0.00032083408,0.00002611766,0.00001792148,0.00015085113,0.0001838742,0.000031998556],"category_scores_gemma":[0.000037073798,0.00021662377,0.000055312456,0.00025497057,0.00001312532,0.00019997546,0.0000061965407,0.00016632662,0.000006380707],"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":[0.00028760592,0.000048837665,0.00017679398,0.00053893524,0.00013637639,7.887082e-8,0.0006216015,0.60576266,0.39118558,0.000022052029,0.00019666941,0.001022798],"study_design_scores_gemma":[0.00057144935,0.00022075957,0.0246856,0.00049454387,0.00012276493,0.0000018177486,0.0003681498,0.5052963,0.46787834,0.000021102669,0.00008143484,0.00025772984],"about_ca_topic_score_codex":0.00005664973,"about_ca_topic_score_gemma":0.000024904628,"teacher_disagreement_score":0.10046637,"about_ca_system_score_codex":0.00012853133,"about_ca_system_score_gemma":0.000052560434,"threshold_uncertainty_score":0.8833661},"labels":[],"label_agreement":null},{"id":"W7162277495","doi":"","title":"Investigation of freight railcar air brake performance in cold temperatures","year":2025,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Brake; Air brake; Disc brake; Hydraulic brake; Service life; Brake shoe","score_opus":0.004430816454303418,"score_gpt":0.17499706666305537,"score_spread":0.17056625020875193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162277495","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":[0.9820524,0.00012389144,0.00077049143,0.00004950321,0.0002281093,0.0000667085,0.0000058254336,0.00012674918,0.01657633],"genre_scores_gemma":[0.9976223,0.000053660475,0.0019293892,0.000030625488,0.000017838376,0.0000108454615,0.000006928577,0.000010661619,0.0003177663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996016,0.000005728876,0.00014606357,0.00007250763,0.00006425833,0.000109844834],"domain_scores_gemma":[0.9998015,0.000023386576,0.0000091605825,0.00012820237,0.000016179169,0.000021548076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006525646,0.000078186,0.0001098297,0.00013791445,0.000012529571,0.000005775682,0.00007892852,0.00005867573,0.000007888577],"category_scores_gemma":[0.00001277737,0.00008159646,0.000019388252,0.0002858785,0.000019205954,0.0000622374,0.000009461207,0.00013126778,0.000002913581],"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":[0.0000060084362,0.000007134971,0.03648901,0.00055829255,0.000025774027,0.0000024453577,0.00030519193,0.48646173,0.4573566,0.015646206,0.002285928,0.000855687],"study_design_scores_gemma":[0.0004736197,0.000023665081,0.11861869,0.00032628974,0.000008716057,0.0000012379791,0.000022223709,0.6168556,0.25897828,0.0011994358,0.0032823908,0.00020983498],"about_ca_topic_score_codex":0.0000021910414,"about_ca_topic_score_gemma":0.000007080907,"teacher_disagreement_score":0.19837832,"about_ca_system_score_codex":0.00003622612,"about_ca_system_score_gemma":0.00001829472,"threshold_uncertainty_score":0.3327407},"labels":[],"label_agreement":null},{"id":"W7162403927","doi":"10.65521/ijasret.v9i6.1566","title":"Study on Parametric Behaviour of Single Cell Box Girder under Different Radius of Curvature","year":2025,"lang":"","type":"article","venue":"International Journal of Advance Scientific Research and Engineering Trends","topic":"Railway Engineering and Dynamics","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":"Prairie Improvement Network","funders":"","keywords":"Box girder; Curvature; Parametric statistics; Deflection (physics); Girder; Finite element method; Radius of curvature; Torsion (gastropod); Tapering","score_opus":0.028017342143544732,"score_gpt":0.3278737197971546,"score_spread":0.29985637765360984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162403927","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":[0.9706355,0.0046835546,0.017467069,0.00016702648,0.0062778704,0.00013671642,0.00010267676,0.000023986182,0.00050564186],"genre_scores_gemma":[0.9962127,0.00036421508,0.0013125889,0.0000019098907,0.00012801943,0.0000049481955,0.000010158385,0.00004039322,0.0019250301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99601847,0.00006441429,0.0011310432,0.00038837388,0.0018631371,0.00053453376],"domain_scores_gemma":[0.9971809,0.0005610752,0.00025944173,0.00043385965,0.0013356812,0.00022905825],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012760132,0.00034844814,0.0006299831,0.0051742913,0.000081385144,0.0002523485,0.000938581,0.00015210421,0.000023903616],"category_scores_gemma":[0.0003589312,0.00032289993,0.0002166886,0.0023195539,0.00022920872,0.00030730927,0.00017941513,0.0011365894,0.0000011425636],"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":[0.0002462588,0.0024756964,0.0046146805,0.0002935463,0.00067787943,0.000086107946,0.0007211818,0.9379391,0.042936835,0.0011316453,0.0005997728,0.008277309],"study_design_scores_gemma":[0.017921984,0.012674101,0.44711673,0.00931296,0.0006849071,0.00022027,0.0063340575,0.29992568,0.19383799,0.0024206568,0.007135058,0.0024155963],"about_ca_topic_score_codex":0.0000073534966,"about_ca_topic_score_gemma":0.000004488261,"teacher_disagreement_score":0.6380134,"about_ca_system_score_codex":0.00036571702,"about_ca_system_score_gemma":0.000100624595,"threshold_uncertainty_score":0.99992234},"labels":[],"label_agreement":null},{"id":"W745467051","doi":"","title":"The Long and the Short of Distributed Power","year":2011,"lang":"en","type":"article","venue":"Railway age","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Train; Payload (computing); Freight trains; Engineering; Automotive engineering; Productivity; Transport engineering; Computer science; Economics","score_opus":0.007620743898893306,"score_gpt":0.18006257212480584,"score_spread":0.17244182822591253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W745467051","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":[0.9156564,0.002116247,0.055776246,0.000059978458,0.0005995807,0.0002567736,0.00005327911,0.000328013,0.025153482],"genre_scores_gemma":[0.99947953,0.00016664498,0.00014700723,0.0000046364175,0.000016687261,0.000008446736,0.0000054631673,0.000017687986,0.00015390059],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999565,0.000012179631,0.00012373013,0.00006605196,0.00007803599,0.00015498862],"domain_scores_gemma":[0.99959093,0.00010493508,0.000010752324,0.0002455466,0.000014176725,0.000033683726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019503736,0.00009353723,0.000114859446,0.000015295662,0.00005745875,0.000017782211,0.00014833895,0.000042001368,0.000009955216],"category_scores_gemma":[0.000032902673,0.00005188752,0.000044259123,0.00008414182,0.00013800946,0.000033527962,0.000026947931,0.000117517535,0.0000039223264],"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":[0.0010630768,0.00039340468,0.031310376,0.0010905138,0.003300914,0.0005192815,0.04014851,0.18103181,0.0077775023,0.5693348,0.021376954,0.14265285],"study_design_scores_gemma":[0.0033114313,0.00015255528,0.5055966,0.00016648014,0.00022047426,0.00010753045,0.0010578878,0.44078785,0.007827376,0.004459576,0.035018325,0.0012939234],"about_ca_topic_score_codex":0.000009187088,"about_ca_topic_score_gemma":0.000013445525,"teacher_disagreement_score":0.56487525,"about_ca_system_score_codex":0.000009198838,"about_ca_system_score_gemma":0.0000030569458,"threshold_uncertainty_score":0.21159117},"labels":[],"label_agreement":null},{"id":"W748753638","doi":"","title":"How Fluid is your Yard","year":2005,"lang":"en","type":"article","venue":"Railway age","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Yard; Bridge (graph theory); Architecture; Transport engineering; Engineering; Class (philosophy); Telecommunications; Civil engineering; Computer science; Archaeology; History","score_opus":0.010330645492101272,"score_gpt":0.20015746379312824,"score_spread":0.18982681830102696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W748753638","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":[0.7382049,0.004325048,0.14922763,0.003321387,0.0024798631,0.0004320355,0.00017868809,0.0058968817,0.09593357],"genre_scores_gemma":[0.9814493,0.0001570632,0.005973309,0.00015261535,0.0005708534,0.0000123183045,0.000019927196,0.00007983284,0.011584793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918336,0.000005365626,0.0001335059,0.00016876798,0.00015535779,0.0003536602],"domain_scores_gemma":[0.9995032,0.000017831331,0.000011504251,0.00033147784,0.000016107824,0.00011987001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006670426,0.00020255418,0.00017753147,0.00008761009,0.000040445982,0.00010193807,0.00017871027,0.00011331068,0.000086373104],"category_scores_gemma":[0.000016105663,0.00020883529,0.00009280346,0.0001487787,0.000018131392,0.00018067948,0.0000208236,0.00018710054,0.0003172071],"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":[0.000012749746,0.00007635868,0.00025861085,0.00029037127,0.0002530039,0.00016675866,0.0029519687,0.64940196,0.07252371,0.0036105912,0.14531614,0.12513778],"study_design_scores_gemma":[0.000321014,0.000018832232,0.0005722814,0.00002168066,0.000014971352,0.000017051749,0.000043355998,0.31949812,0.0070357225,0.0000734367,0.67197835,0.00040516563],"about_ca_topic_score_codex":0.000002266618,"about_ca_topic_score_gemma":0.0000067132733,"teacher_disagreement_score":0.52666223,"about_ca_system_score_codex":0.00007218483,"about_ca_system_score_gemma":0.0000063307402,"threshold_uncertainty_score":0.85160565},"labels":[],"label_agreement":null},{"id":"W749934253","doi":"10.1115/jrc2015-5631","title":"Hunting Analysis of a Partially-Filled Railway Tank Car","year":2015,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Slosh dynamics; Truck; Axle; Structural engineering; Engineering; Nonlinear system; Suspension (topology); Coupling (piping); Vehicle dynamics; Contact force; Contact patch; Fuel tank; Marine engineering; Automotive engineering; Mechanical engineering; Materials science; Physics","score_opus":0.012134008011667282,"score_gpt":0.2132252647160043,"score_spread":0.20109125670433703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W749934253","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":[0.70322573,0.00027491068,0.23056968,0.000020607413,0.0004146266,0.000088046174,0.000019270954,0.0008493571,0.06453777],"genre_scores_gemma":[0.9942701,0.0000100478255,0.0050719352,0.000009530292,0.000037806258,0.0000049279533,0.000018087285,0.00002379419,0.00055380067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928737,0.000008618033,0.00024782927,0.000105524465,0.00015306062,0.00019758799],"domain_scores_gemma":[0.9995613,0.00003483042,0.000022307202,0.00023916762,0.000051493913,0.00009088932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018716094,0.00011680134,0.00029861476,0.0002530505,0.000010992805,0.000014649818,0.000106161184,0.00006283571,0.000047359976],"category_scores_gemma":[0.000058543064,0.00011092427,0.000123417,0.00080266554,0.000013379001,0.00006219961,0.000018010285,0.00007427481,0.000014281261],"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":[0.0000020621005,0.000006657094,0.0027401755,0.000015100855,0.00047919224,0.000001920159,0.00023747684,0.99351954,0.0014882263,0.00061384664,0.00036165345,0.0005341465],"study_design_scores_gemma":[0.00019153237,0.000012125117,0.0016400329,0.0000052035048,0.00024914776,6.7291415e-7,0.00010296923,0.99412084,0.0011843367,0.000016764041,0.0023350592,0.00014132848],"about_ca_topic_score_codex":0.000055726443,"about_ca_topic_score_gemma":0.000104822575,"teacher_disagreement_score":0.29104432,"about_ca_system_score_codex":0.000037019952,"about_ca_system_score_gemma":0.000013457437,"threshold_uncertainty_score":0.45233604},"labels":[],"label_agreement":null},{"id":"W762137800","doi":"","title":"SINGAPORE PURSUES ITS MRT EXPANSION","year":2004,"lang":"en","type":"article","venue":"Tunnels & tunnelling","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Excavation; Quarter (Canadian coin); Engineering; Boulevard; Work (physics); Line (geometry); Forensic engineering; Archaeology; Civil engineering; Geotechnical engineering; Geography; Mathematics; Mechanical engineering","score_opus":0.012174719480067419,"score_gpt":0.20486245782175572,"score_spread":0.19268773834168829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W762137800","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":[0.771855,0.0023413287,0.21928787,0.00007874654,0.0013661361,0.00017853011,0.000016990538,0.0022734322,0.0026019388],"genre_scores_gemma":[0.99182767,0.00049678003,0.006870985,0.000036800513,0.00038500453,0.000014897749,0.00003848676,0.00012561941,0.00020376404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985682,0.0000082610995,0.0003326468,0.0002888669,0.00024619914,0.0005558583],"domain_scores_gemma":[0.9993715,0.000038789276,0.000029958363,0.00032553848,0.000051685925,0.00018248669],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015295834,0.00033003272,0.00028424078,0.00015814889,0.00011538292,0.00007948799,0.00023823869,0.00016477586,0.000028395138],"category_scores_gemma":[0.000027217235,0.00035089056,0.00011495186,0.00029238657,0.000025935718,0.00025398808,0.000028910652,0.0003361803,0.0002467594],"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":[0.0000049453524,0.000017867063,0.000011333974,0.000077750876,0.000020883148,0.00003240111,0.0005399345,0.93650776,0.057464883,0.0005887926,0.000058906302,0.004674557],"study_design_scores_gemma":[0.00088759884,0.00006427943,0.00017081168,0.000405755,0.000045859695,0.00006569428,0.0003793201,0.85557675,0.13696374,0.0027258424,0.0017179862,0.0009963376],"about_ca_topic_score_codex":0.0000106037605,"about_ca_topic_score_gemma":0.0000023853258,"teacher_disagreement_score":0.21997264,"about_ca_system_score_codex":0.00014206252,"about_ca_system_score_gemma":0.000021139704,"threshold_uncertainty_score":0.9998943},"labels":[],"label_agreement":null},{"id":"W783782281","doi":"","title":"CPR BOOSTS ADHESION WITH 100% EFFECTIVE FRICTION CONTROL","year":2004,"lang":"en","type":"article","venue":"Railway gazette international","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Lubricant; Lubrication; Friction modifier; Automotive engineering; Engineering; Marine engineering; Mechanical engineering","score_opus":0.0028389288624587334,"score_gpt":0.18905165129812987,"score_spread":0.18621272243567114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W783782281","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":[0.55504847,0.00014575494,0.42891788,0.0004657673,0.0020647896,0.0003736883,0.0000680459,0.0010456936,0.011869913],"genre_scores_gemma":[0.99750286,0.000025589688,0.0016342312,0.00010048415,0.0003729596,0.000064275104,0.000053485583,0.000055318073,0.00019079266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990306,0.000010362867,0.00018220815,0.0002066823,0.00031067905,0.0002594722],"domain_scores_gemma":[0.9995749,0.000060785213,0.000032622153,0.00015762057,0.00008393201,0.00009015989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010069987,0.0002114019,0.00015596111,0.00017224031,0.000049714567,0.000055011697,0.00016892233,0.00009583944,0.000051038227],"category_scores_gemma":[0.000029230512,0.00019415477,0.00006814984,0.0001319315,0.000025416752,0.00022467916,0.000012507329,0.00023495653,0.00015585087],"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":[0.0000626232,0.000040544488,0.0010102208,0.000020738615,0.00019853686,0.000032454587,0.00015746267,0.9819844,0.009767187,0.0021033285,0.00047862486,0.004143924],"study_design_scores_gemma":[0.0139612695,0.00072243274,0.11496087,0.00060226594,0.00014554775,0.0003973749,0.00009681843,0.7952387,0.026078556,0.0019161936,0.044080343,0.001799666],"about_ca_topic_score_codex":0.000016345877,"about_ca_topic_score_gemma":0.000018956383,"teacher_disagreement_score":0.4424544,"about_ca_system_score_codex":0.00038279803,"about_ca_system_score_gemma":0.000019255614,"threshold_uncertainty_score":0.7917402},"labels":[],"label_agreement":null},{"id":"W790969130","doi":"","title":"WORKING AHEAD: RAILROADS EXPLORE MORE WELDING, GRINDING OPTIONS TO STAY WELL IN FRONT OF RAIL FATIGUE","year":2004,"lang":"en","type":"article","venue":"Progressive railroading","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grinding; Welding; Grind; Engineering; Key (lock); Automotive engineering; Computer science; Mechanical engineering; Computer security","score_opus":0.025549872050891435,"score_gpt":0.26701013016864855,"score_spread":0.24146025811775712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W790969130","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":[0.92063147,0.0028145236,0.0706032,0.00018840244,0.0011030057,0.0007477752,0.000014189453,0.0007354885,0.003161951],"genre_scores_gemma":[0.96829927,0.00011964164,0.030926522,0.000022092167,0.00017910724,0.00021223907,0.000027578726,0.00013324173,0.00008033687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976138,0.000028026376,0.00068345893,0.00045373896,0.0003778818,0.0008430934],"domain_scores_gemma":[0.99904764,0.00008515196,0.00011458245,0.00040866068,0.00007570151,0.00026828353],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034512073,0.0004500018,0.00055391924,0.0007833689,0.000113357695,0.00008638571,0.00040608438,0.00020066016,0.00005835121],"category_scores_gemma":[0.00012649305,0.0004920109,0.00015216117,0.0006505085,0.00006789274,0.0002980359,0.00011276662,0.0005182499,0.000041204265],"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":[0.000021588525,0.000056530796,0.010266589,0.00015594499,0.00007094211,0.00006662654,0.007168643,0.9726878,0.0024280953,0.00056982605,0.00008873786,0.0064187],"study_design_scores_gemma":[0.017703572,0.0011315221,0.066600434,0.028511016,0.00042626762,0.0003468797,0.023013778,0.63907975,0.18829755,0.004392426,0.020265821,0.010230975],"about_ca_topic_score_codex":0.000025303807,"about_ca_topic_score_gemma":0.00005670893,"teacher_disagreement_score":0.33360803,"about_ca_system_score_codex":0.00051061716,"about_ca_system_score_gemma":0.000043217613,"threshold_uncertainty_score":0.9997532},"labels":[],"label_agreement":null},{"id":"W803712469","doi":"","title":"A CLOSER LOOK AT HIGH-CARBON RAIL","year":2004,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Engineering; Carbon fibers; Grinding; High carbon; Service life; Freight trains; Forensic engineering; Train; Materials science; Mechanical engineering; Electrical engineering","score_opus":0.00393885029632684,"score_gpt":0.17963791612062027,"score_spread":0.17569906582429343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W803712469","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":[0.9933952,0.0014464228,0.00079173665,0.00006370687,0.00055043574,0.00009631942,0.000025955578,0.0005294593,0.0031007754],"genre_scores_gemma":[0.99741054,0.0002324367,0.0017771187,0.0000462139,0.00019187287,0.00000741377,0.000021018986,0.000056572502,0.0002568094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99909985,0.000006517354,0.00018713246,0.00022573034,0.00015044861,0.0003303345],"domain_scores_gemma":[0.9995758,0.000023978471,0.000017360733,0.0002301214,0.000015680862,0.00013707695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044160326,0.00025912747,0.00023131813,0.00008420802,0.00007584477,0.000044729764,0.00010828151,0.00016055968,0.00003646397],"category_scores_gemma":[0.0000112256685,0.00023456743,0.00005560825,0.000102399965,0.00005517815,0.00006867406,0.00002678502,0.00020838177,0.000010618257],"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":[0.00004714667,0.000021327287,0.0010811005,0.00029190333,0.00017528683,0.00007324006,0.00136635,0.9408403,0.023902334,0.02043179,0.000670263,0.011098955],"study_design_scores_gemma":[0.017914759,0.00082582724,0.44871795,0.00043586036,0.00048019306,0.0011868865,0.00049769925,0.16172937,0.11415061,0.18325508,0.06345459,0.00735119],"about_ca_topic_score_codex":0.000033158678,"about_ca_topic_score_gemma":0.00005443439,"teacher_disagreement_score":0.77911097,"about_ca_system_score_codex":0.00008158946,"about_ca_system_score_gemma":0.00001126576,"threshold_uncertainty_score":0.9565382},"labels":[],"label_agreement":null},{"id":"W832313475","doi":"","title":"CANADIAN TRUCKERS COMPLAIN ABOUT EMISSIONS RULES FOR RAILROADS","year":2000,"lang":"en","type":"article","venue":"Transport topics","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Transport engineering; Business; Aeronautics; Engineering; Automotive engineering; Environmental science","score_opus":0.006319084947912879,"score_gpt":0.19334767785855086,"score_spread":0.18702859291063798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W832313475","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":[0.8740893,0.00057627726,0.032628004,0.00066304876,0.0009059802,0.00049685827,0.0009705319,0.0008866234,0.08878335],"genre_scores_gemma":[0.95952284,0.00033531117,0.017601714,0.00016403913,0.00040388363,0.000036923997,0.0006591795,0.0001170305,0.021159053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993194,0.000002091843,0.00016832231,0.00011488964,0.000065075925,0.00033024384],"domain_scores_gemma":[0.99956113,0.000012311583,0.00000482531,0.00017058282,0.0000122872725,0.00023886142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041910065,0.00014046433,0.00014877378,0.00006313486,0.00006668739,0.000011030319,0.00012222171,0.00010683496,0.00048150148],"category_scores_gemma":[0.0000019366485,0.00015114603,0.00007987952,0.00007165975,0.000014648624,0.000042177075,5.547079e-7,0.00011318808,0.000052596173],"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":[0.000018487433,0.00002596098,0.0066874563,0.0003376577,0.0001247021,0.00004741634,0.001376186,0.86190194,0.00016370231,0.0056866207,0.0067868996,0.11684298],"study_design_scores_gemma":[0.00040189634,0.000018480636,0.018659884,0.000039032682,0.000028610682,0.0000072551366,0.000027124666,0.1286826,0.00006697768,0.00026340375,0.851465,0.00033974776],"about_ca_topic_score_codex":0.001924125,"about_ca_topic_score_gemma":0.01265565,"teacher_disagreement_score":0.8446781,"about_ca_system_score_codex":0.00008251768,"about_ca_system_score_gemma":0.00004354925,"threshold_uncertainty_score":0.70621496},"labels":[],"label_agreement":null},{"id":"W842999803","doi":"","title":"Mitigation of Highway Traffic-Induced Vibration","year":2006,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rogers Communications (Canada)","funders":"","keywords":"Vibration; Engineering; Computer science; Acoustics","score_opus":0.004040602189546326,"score_gpt":0.1710597168857815,"score_spread":0.16701911469623518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W842999803","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":[0.91702384,0.000019511583,0.07101122,0.000015223627,0.00017778763,0.000039732484,0.000002788697,0.0004650366,0.011244861],"genre_scores_gemma":[0.9966123,0.0000020191237,0.003144678,0.0000025847778,0.000054674896,0.000002880637,0.000028112843,0.000013658716,0.00013910061],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968725,0.0000023729153,0.00012663755,0.000047422087,0.00006260552,0.000073695664],"domain_scores_gemma":[0.99987406,0.000011408215,0.000009420868,0.00007614677,0.000014884094,0.0000140634165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000027083159,0.00005744996,0.00006305577,0.00004816948,0.0000085860775,0.0000073226965,0.000030365865,0.0000448485,0.000014466977],"category_scores_gemma":[0.0000026071557,0.000057964156,0.000023143033,0.00009062091,0.0000041172625,0.00006831686,0.0000017621225,0.000034348355,0.000009368679],"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":[4.5538872e-7,0.0000058282985,0.000022127902,0.000019748873,0.0000034635452,2.0687565e-7,0.000016533464,0.8693939,0.12532532,0.003565986,0.0003139179,0.0013325317],"study_design_scores_gemma":[0.00010315095,0.000011169658,0.003570189,0.000006262195,0.000003312722,8.505827e-7,0.0000074453183,0.91326797,0.08269131,0.00009324684,0.00016724828,0.00007783024],"about_ca_topic_score_codex":0.000009170099,"about_ca_topic_score_gemma":0.000016959953,"teacher_disagreement_score":0.07958846,"about_ca_system_score_codex":0.000016627362,"about_ca_system_score_gemma":0.0000033446938,"threshold_uncertainty_score":0.23637097},"labels":[],"label_agreement":null},{"id":"W940500859","doi":"10.1007/s10162-015-0531-y","title":"Finite-Element Modelling of the Response of the Gerbil Middle Ear to Sound","year":2015,"lang":"en","type":"article","venue":"Journal of the Association for Research in Otolaryngology","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Resonance (particle physics); Acoustics; Frequency response; Tonotopy; Low frequency; Middle ear; Physics; Ear canal; Nuclear magnetic resonance; Audiology; Cochlea; Anatomy; Engineering","score_opus":0.11320574389450214,"score_gpt":0.32610101938426256,"score_spread":0.21289527548976042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W940500859","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":[0.99044377,0.00012765078,0.0063892948,0.001878957,0.00063342095,0.0003301522,0.00002246113,0.0000049184027,0.00016939075],"genre_scores_gemma":[0.9989451,0.000013981036,0.00056034955,0.000022095992,0.000061657425,0.000010771776,2.7374338e-7,0.000016255053,0.00036952138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980968,0.00047910275,0.0004674034,0.000060271963,0.00062313897,0.0002732676],"domain_scores_gemma":[0.99766016,0.0012958269,0.00022142743,0.00027099752,0.0004965926,0.000054980253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070697204,0.00006919179,0.00020193969,0.00017854692,0.000059713915,0.000013395379,0.0006329828,0.00010313289,0.0000013359733],"category_scores_gemma":[0.003351283,0.000040403862,0.00015868916,0.00051163364,0.000035527082,0.000056099823,0.00012454626,0.0005103133,0.0000011395522],"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":[0.00017344678,0.000028137669,0.01850794,0.000034118893,0.00005220679,3.837918e-7,0.0009402908,0.9776885,0.0013677361,0.00038800813,0.00080242724,0.000016827405],"study_design_scores_gemma":[0.0015051715,0.00034962967,0.032591973,0.00024339274,0.000028069711,0.000011146776,0.0005144583,0.9448838,0.0059707635,0.009662807,0.0041178423,0.0001209223],"about_ca_topic_score_codex":0.000019140582,"about_ca_topic_score_gemma":0.000031914045,"teacher_disagreement_score":0.032804653,"about_ca_system_score_codex":0.0006275998,"about_ca_system_score_gemma":0.0001611706,"threshold_uncertainty_score":0.40120408},"labels":[],"label_agreement":null}]}