{"meta":{"query_hash":"f4bd452c7ef2","filters":{"venue":"International Journal of Heavy Vehicle Systems"},"cohort_total":54,"direct_labels_cover":0,"predictions_cover":54,"exported":54,"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/f4bd452c7ef2","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Heavy+Vehicle+Systems"},"results":[{"id":"W1593317574","doi":"10.1504/ijhvs.1998.054616","title":"On nonlinear yaw–roll–pitch model of the dynamics of log hauling trucks","year":2014,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Soil Mechanics and Vehicle 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":"Engineering; Euler angles; Structural engineering; Nonlinear system; Control theory (sociology); Yaw; Rollover (web design); Truck; Suspension (topology); Stiffness; Automotive engineering; Mathematics; Physics; Computer science","score_opus":0.008622479187765982,"score_gpt":0.2203735406549247,"score_spread":0.21175106146715872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593317574","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31711972,0.0007962602,0.6311021,0.00045873708,0.00014196058,0.00015913832,0.0009638554,0.00049275183,0.048765503],"genre_scores_gemma":[0.97304916,0.00046406608,0.006192545,0.000043138945,0.000034562243,0.00012615038,0.0003072615,0.00003697866,0.01974609],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998878,0.000020845,0.0000061463006,0.000027910619,0.00003674619,0.00002050299],"domain_scores_gemma":[0.99987805,0.000033732056,0.000028066599,0.000008910037,0.000039623228,0.000011757796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017143745,0.0004979921,0.00065210764,0.0003020505,0.0003774794,0.000744662,0.00064642134,0.00076419517,0.0024242913],"category_scores_gemma":[0.00034973005,0.00027879278,0.00052514666,0.00026840734,0.00054011686,0.00061396824,0.0005620913,0.0005876281,0.0006196718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026885871,0.000010752548,0.0004947269,0.000039400795,0.00000867383,0.0001127331,0.000051850966,0.99216217,0.002872455,0.0018480576,0.00016607885,0.0022062366],"study_design_scores_gemma":[0.0000032404296,0.000013080207,0.00024135732,0.0000019425645,0.0000018681177,0.000011044028,0.000009991406,0.9991547,0.00009232775,0.0002306448,0.0002363719,0.0000033999688],"about_ca_topic_score_codex":0.015415437,"about_ca_topic_score_gemma":0.007081932,"teacher_disagreement_score":0.015415437,"about_ca_system_score_codex":0.0003487,"about_ca_system_score_gemma":0.0005421439,"threshold_uncertainty_score":0.03065139},"labels":[],"label_agreement":null},{"id":"W1593927456","doi":"","title":"Dynamic rollover threshold of articulated freight vehicles","year":2014,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","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":"Rollover (web design); Acceleration; Automotive engineering; Axle; Tractor; Vehicle dynamics; Engineering; Structural engineering; Control theory (sociology); Computer science; Physics","score_opus":0.004201618048325714,"score_gpt":0.20451459634300337,"score_spread":0.20031297829467765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593927456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9711774,0.00015908184,0.025085466,0.000017317869,0.000004289127,0.000008279076,0.000070749644,0.00016952887,0.0033080461],"genre_scores_gemma":[0.99961627,0.000012124129,0.00018154769,0.0000010165775,8.0423274e-7,0.0000012200255,0.000025382104,0.0000028539757,0.00015873213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997706,0.000024428775,0.0000114106,0.000035355322,0.00008681551,0.00007142822],"domain_scores_gemma":[0.9995285,0.00014312012,0.00014811201,0.00003669937,0.0001025492,0.0000409511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001947123,0.00025316168,0.00024173358,0.0009081625,0.00018595676,0.00044089282,0.00026625415,0.00023912193,0.00077966024],"category_scores_gemma":[0.0010461421,0.00010522337,0.00026191,0.00029853254,0.0002504414,0.0004259682,0.0002863778,0.00014784439,0.00014236342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085624075,0.00012956333,0.053381726,0.0001605264,0.00008865084,0.0013114678,0.00039480472,0.7377652,0.14566873,0.008318745,0.00062282983,0.051301416],"study_design_scores_gemma":[0.000008809257,0.00029543668,0.05317691,0.000014522845,0.000031263535,0.0005093319,0.00020678059,0.91181225,0.030441485,0.00292202,0.00053582917,0.000045336332],"about_ca_topic_score_codex":0.0026349127,"about_ca_topic_score_gemma":0.0012080353,"teacher_disagreement_score":0.0026349127,"about_ca_system_score_codex":0.00042114712,"about_ca_system_score_gemma":0.00018670705,"threshold_uncertainty_score":0.0052391887},"labels":[],"label_agreement":null},{"id":"W1853292376","doi":"","title":"UTILISATION OF FIVE- AND SIX-AXLE TRACTOR SEMITRAILERS IN WESTERN CANADA.","year":2014,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Soil Mechanics and Vehicle 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; Tractor; Payload (computing); Axle; Productivity; Articulated vehicle; Engineering; Transport engineering; Automotive engineering; Environmental science; Computer science; Economics; Structural engineering","score_opus":0.0071489388815202115,"score_gpt":0.21292116525049812,"score_spread":0.2057722263689779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1853292376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962813,0.00023318896,0.00014823268,0.000029768362,0.0000024987023,0.000015945454,0.0012547831,0.000017015986,0.002017251],"genre_scores_gemma":[0.99064356,0.00035494848,0.00045612248,0.000019503948,7.422859e-7,0.000007033109,0.0012903045,0.000010961162,0.007216923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956733,0.000023411241,0.000018322007,0.00005969479,0.00017251086,0.00015868546],"domain_scores_gemma":[0.9995158,0.000017987788,0.00007439686,0.000009749285,0.0002110064,0.00017117668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001894927,0.00040640746,0.00018709734,0.0011225257,0.0013141125,0.0008292964,0.00070730725,0.00024493356,0.002013081],"category_scores_gemma":[0.00034008277,0.00023298629,0.00037208304,0.0016824565,0.00044846564,0.00024394933,0.0003940781,0.00020724506,0.0004947801],"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":[0.000683346,0.00013139125,0.8781081,0.00021245684,0.00012817008,0.0013901027,0.0042562587,0.002982795,0.021494318,0.0007241013,0.0017279655,0.08816102],"study_design_scores_gemma":[0.0000029982486,0.00007145678,0.991875,0.000018862449,0.000014205993,0.0001273454,0.0021615257,0.0011542278,0.0011345848,0.000029455185,0.00339096,0.000019429255],"about_ca_topic_score_codex":0.98761845,"about_ca_topic_score_gemma":0.9962205,"teacher_disagreement_score":0.014942874,"about_ca_system_score_codex":0.014942874,"about_ca_system_score_gemma":0.01002405,"threshold_uncertainty_score":0.10841864},"labels":[],"label_agreement":null},{"id":"W1972569123","doi":"10.1504/ijhvs.2009.023853","title":"A survey of stability enhancement strategies for articulated steer vehicles","year":2009,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":30,"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":"Rollover (web design); Work (physics); Engineering; Stability (learning theory); Articulated vehicle; Control theory (sociology); Instability; Electronic stability control; Control (management); Computer science; Automotive engineering; Mechanical engineering; Artificial intelligence","score_opus":0.019804559083886546,"score_gpt":0.2593267649419115,"score_spread":0.23952220585802494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972569123","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031409346,0.320803,0.6024887,0.00046764474,0.00051503535,0.0001892701,0.00020144123,0.0010867245,0.04283884],"genre_scores_gemma":[0.44316006,0.3409137,0.18466127,0.00036049358,0.0008347764,0.00033801497,0.00070390146,0.00020571514,0.02882202],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997911,0.00002371335,0.000021228712,0.000047871225,0.00009653383,0.000019562292],"domain_scores_gemma":[0.99981505,0.000062611405,0.000026007016,0.000011198819,0.00007556368,0.000009607732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019448742,0.0008089415,0.0007353076,0.001123672,0.00036354188,0.00063123833,0.00064272195,0.0006126775,0.0028773712],"category_scores_gemma":[0.00047065073,0.0003277792,0.00047890723,0.0007703119,0.00016135046,0.0006348387,0.00038833995,0.00037823888,0.001267286],"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":[0.000102164035,0.00009481077,0.00054065546,0.0019361706,0.000060863247,0.00013800242,0.00009797837,0.028799394,0.015389581,0.005135604,0.0036919655,0.94401276],"study_design_scores_gemma":[0.00012053815,0.0029084734,0.008312533,0.0024387653,0.0005438831,0.0029469,0.0006758438,0.44751322,0.047039118,0.026580587,0.46068117,0.00023896208],"about_ca_topic_score_codex":0.000937303,"about_ca_topic_score_gemma":0.0007646595,"teacher_disagreement_score":0.0028773712,"about_ca_system_score_codex":0.00021821752,"about_ca_system_score_gemma":0.00031067565,"threshold_uncertainty_score":0.0096257925},"labels":[],"label_agreement":null},{"id":"W1980479985","doi":"10.1504/ijhvs.2007.013262","title":"Structural assessment of van trailer floor systems with aluminium frame and wood decking","year":2007,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Mechanical Engineering and Vibrations Research","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":"Structural engineering; Finite element method; Trailer; Stiffness; Engineering; Composite number; Aluminium; Static testing; Structural system; Composite material; Materials science","score_opus":0.015388953323203527,"score_gpt":0.2944436672292185,"score_spread":0.279054713906015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980479985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991623,0.000019947902,0.0005865984,0.0000019266997,0.0000020323566,0.0000045772445,0.000016026419,0.0000093519975,0.0001972501],"genre_scores_gemma":[0.99908125,0.000016267793,0.00058724824,0.0000015004491,6.6130576e-7,0.0000020226096,0.00002972441,0.0000030882493,0.0002782651],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997441,0.00004241021,0.000011788083,0.000029601284,0.000106432235,0.00006567132],"domain_scores_gemma":[0.9996346,0.00010123134,0.00005350377,0.000052204727,0.000107978594,0.000050450002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003362287,0.00039320224,0.00031107754,0.0004633832,0.00028956143,0.0002985744,0.0003022677,0.0003359786,0.0014848864],"category_scores_gemma":[0.00065549207,0.00023426981,0.00024677013,0.00016270865,0.00032436382,0.00025832345,0.00031471538,0.00014480465,0.0002412995],"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":[0.0019203033,0.00027969838,0.048050355,0.00029192213,0.000082608385,0.00062715553,0.0005092693,0.11018776,0.7855967,0.00025688263,0.00017995558,0.052017324],"study_design_scores_gemma":[0.000104278464,0.0071061025,0.2917611,0.0000463109,0.000212725,0.00065048295,0.00142759,0.18112597,0.5151271,0.00022075308,0.0021311925,0.00008646044],"about_ca_topic_score_codex":0.0028893559,"about_ca_topic_score_gemma":0.007816152,"teacher_disagreement_score":0.0028893559,"about_ca_system_score_codex":0.00023006824,"about_ca_system_score_gemma":0.00024867378,"threshold_uncertainty_score":0.0057450533},"labels":[],"label_agreement":null},{"id":"W1984481678","doi":"10.1504/ijhvs.2009.027135","title":"A regularised solution to the bridge weigh-in-motion equations","year":2009,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":64,"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":"Tikhonov regularization; Bridge (graph theory); Motion (physics); Engineering; Structural engineering; Equations of motion; Axle; Weigh in motion; Mathematics; Applied mathematics; Mathematical optimization; Mathematical analysis; Computer science; Inverse problem; Classical mechanics; Physics; Artificial intelligence","score_opus":0.02497036422704069,"score_gpt":0.30613938309112887,"score_spread":0.2811690188640882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984481678","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018065538,0.000079140234,0.9781636,0.00013482226,0.00004877,0.000037148217,0.00006039454,0.000078001314,0.003332658],"genre_scores_gemma":[0.45992157,0.00026145147,0.517539,0.00013535301,0.00008545478,0.0002310452,0.00028634485,0.00012370037,0.02141604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998443,0.000039912473,0.000007097631,0.00003438823,0.00006025701,0.000013901736],"domain_scores_gemma":[0.999796,0.000070116956,0.000027984865,0.00002404852,0.00007075065,0.000011086752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041925386,0.00032615208,0.0004306392,0.0003220786,0.00016997902,0.00045134503,0.0006211332,0.0011348979,0.0027261155],"category_scores_gemma":[0.0016350492,0.00024105943,0.00047876206,0.00028326316,0.00040383905,0.000505109,0.0004991122,0.0007999479,0.0004716383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026545707,0.000018573028,0.00046728514,0.000058098445,0.000014297438,0.000121249344,0.00006415671,0.93162763,0.0055896454,0.031157833,0.0011116352,0.029743098],"study_design_scores_gemma":[0.000006577841,0.000012251964,0.00013038573,0.00000376172,0.0000021341402,0.000019618656,0.0000067311585,0.99543166,0.0004565759,0.0029143738,0.0010104589,0.00000550618],"about_ca_topic_score_codex":0.0030888666,"about_ca_topic_score_gemma":0.0032356018,"teacher_disagreement_score":0.0030888666,"about_ca_system_score_codex":0.0002552976,"about_ca_system_score_gemma":0.000760817,"threshold_uncertainty_score":0.009119749},"labels":[],"label_agreement":null},{"id":"W2021347012","doi":"10.1504/ijhvs.2007.015706","title":"Robust variable structure control for stabilisation of articulated steer vehicles by torque vectoring","year":2007,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","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":"Blackberry (Canada); University of Waterloo","funders":"","keywords":"Control theory (sociology); Engineering; Robustness (evolution); Torque; Vehicle dynamics; Control engineering; Sliding mode control; Variable structure control; Nonlinear system; Automotive engineering; Control (management); Computer science; Physics","score_opus":0.007119700844587141,"score_gpt":0.20793079843740375,"score_spread":0.20081109759281662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021347012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038537614,0.00016951263,0.9590252,0.000049867856,0.000039280163,0.000021518374,0.000012370853,0.0003783873,0.0017662467],"genre_scores_gemma":[0.9752662,0.00009838117,0.023038773,0.000018075689,0.000019859968,0.000038036105,0.000029633284,0.000018958031,0.0014721353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997429,0.0000611338,0.000013750717,0.000038244372,0.00011679106,0.000027164047],"domain_scores_gemma":[0.9997061,0.000084084175,0.00009256372,0.000026405378,0.000079993784,0.000010813785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046160782,0.00038852548,0.00033736648,0.0002072403,0.0002136391,0.00041548806,0.00042404686,0.00029068277,0.0009982231],"category_scores_gemma":[0.0008868301,0.00013942852,0.00022617524,0.00016309028,0.0005071087,0.00028185287,0.00039050667,0.00034655893,0.00022406745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025449035,0.000039377363,0.00038492808,0.00019115275,0.00003843131,0.000122013254,0.0002316118,0.81084585,0.07470957,0.01771846,0.00076231605,0.09470189],"study_design_scores_gemma":[0.000031776348,0.00019983274,0.00021819174,0.0000076279666,0.000006942919,0.000024446068,0.000014676393,0.989629,0.006672297,0.0015585588,0.0016280828,0.000008621613],"about_ca_topic_score_codex":0.0019607467,"about_ca_topic_score_gemma":0.0016405892,"teacher_disagreement_score":0.0019607467,"about_ca_system_score_codex":0.00022885075,"about_ca_system_score_gemma":0.00034768076,"threshold_uncertainty_score":0.0038986802},"labels":[],"label_agreement":null},{"id":"W2030787184","doi":"10.1504/ijhvs.2007.015707","title":"Roll plane analysis of a hydro-pneumatic suspension with twin-gas-chamber struts","year":2007,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","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":"Concordia University","funders":"","keywords":"Suspension (topology); Engineering; Plane (geometry); Structural engineering; Mechanical engineering; Aeronautics","score_opus":0.005619309455212803,"score_gpt":0.21967565231245986,"score_spread":0.21405634285724706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030787184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75880706,0.00030906676,0.22964582,0.00009975394,0.000045394856,0.000050198527,0.00010612191,0.00027470832,0.010661964],"genre_scores_gemma":[0.99536526,0.00006127478,0.0028133227,0.0000066324546,0.0000048612915,0.0000101581745,0.00003203047,0.0000073104657,0.0016990593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999225,0.00001427892,0.0000032116282,0.000012228699,0.000034262102,0.000013576828],"domain_scores_gemma":[0.9999287,0.000020977319,0.00001794362,0.0000074546824,0.000016593443,0.000008263252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001182524,0.00029397424,0.00026391633,0.00019268315,0.00020550577,0.00039742258,0.00033074088,0.00055406464,0.0009588092],"category_scores_gemma":[0.0001464838,0.00014477718,0.00028844085,0.000097924065,0.00035508402,0.00022996932,0.0002673803,0.00019710645,0.00021787656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040135835,0.000054592256,0.0020452116,0.00014254618,0.00004953848,0.00079814246,0.00012015229,0.6220047,0.35109997,0.008577153,0.00034452486,0.014362111],"study_design_scores_gemma":[0.000007505675,0.00010997097,0.0009923341,0.000003204905,0.0000071162267,0.000050004848,0.000021630252,0.98908454,0.009123777,0.00017201656,0.00042123348,0.0000065735803],"about_ca_topic_score_codex":0.0016216108,"about_ca_topic_score_gemma":0.0011699303,"teacher_disagreement_score":0.0016216108,"about_ca_system_score_codex":0.00016860581,"about_ca_system_score_gemma":0.00023336113,"threshold_uncertainty_score":0.0032243133},"labels":[],"label_agreement":null},{"id":"W2034534874","doi":"10.1504/ijhvs.2005.008304","title":"Evaluation of the effects of design features on tracked vehicle mobility using an advanced computer simulation model","year":2005,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrain; Track (disk drive); Engineering; Simulation; Automotive engineering; Mechanical engineering","score_opus":0.03567662593564646,"score_gpt":0.30882198281279766,"score_spread":0.2731453568771512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034534874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98845726,0.000037462607,0.009932352,0.000019694095,0.000004563353,0.000032963984,0.00012915465,0.00008164432,0.0013047385],"genre_scores_gemma":[0.9969797,0.000034636054,0.0025197857,0.0000031053787,9.790108e-7,0.000019577583,0.00007849254,0.0000066077528,0.00035719914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997409,0.00008513317,0.000015765845,0.000028143395,0.000086534455,0.00004358747],"domain_scores_gemma":[0.99873704,0.0007563865,0.00014834941,0.00010871656,0.0002151254,0.000034396602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047726,0.00048030796,0.00043585838,0.00040481976,0.00024831272,0.00035815433,0.0003686116,0.00043404734,0.00071436324],"category_scores_gemma":[0.0020754426,0.00025088474,0.00040169273,0.00037063085,0.00023311896,0.00039866165,0.00029682234,0.00029358742,0.00010602218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002644459,0.00008227754,0.006886101,0.000033500408,0.000020839456,0.00006537323,0.000041701674,0.97245276,0.012174749,0.00020879511,0.00006817034,0.0077012335],"study_design_scores_gemma":[0.000020758182,0.00050713704,0.004855396,0.0000044496146,0.00003053447,0.000027139176,0.00003191397,0.98581636,0.008408327,0.00006419191,0.00022399198,0.000009739868],"about_ca_topic_score_codex":0.013090484,"about_ca_topic_score_gemma":0.012868392,"teacher_disagreement_score":0.013090484,"about_ca_system_score_codex":0.00060352474,"about_ca_system_score_gemma":0.00051938137,"threshold_uncertainty_score":0.026028574},"labels":[],"label_agreement":null},{"id":"W2047096939","doi":"10.1504/ijhvs.2007.013259","title":"A neural network based fuzzy control approach to improve ride comfort and road handling of heavy vehicles using semi-active dampers","year":2007,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vibration Control and Rheological Fluids","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":"University of Waterloo","funders":"","keywords":"Damper; Engineering; Automotive engineering; Controller (irrigation); Artificial neural network; Automotive industry; Control engineering; Suspension (topology); Fuzzy logic; Intelligent control; Control (management); Automobile handling; Active suspension; Fuzzy control system; Computer science; Artificial intelligence","score_opus":0.013358255070907552,"score_gpt":0.24313396420990127,"score_spread":0.22977570913899373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047096939","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07857431,0.0006937277,0.9126218,0.0002791368,0.00012664263,0.000083617335,0.00002633167,0.00046545453,0.0071290173],"genre_scores_gemma":[0.938575,0.00025285344,0.056771025,0.0000902018,0.00004728912,0.00008894608,0.000024598823,0.00001164773,0.0041383896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998777,0.00002106674,0.0000098577875,0.000030963183,0.00004173523,0.00001868916],"domain_scores_gemma":[0.9998636,0.00004286135,0.000021975357,0.000006571898,0.000056457975,0.000008548106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032236398,0.00040928702,0.00037363495,0.00026290098,0.00034005014,0.0004847756,0.0006632468,0.00066572294,0.001252146],"category_scores_gemma":[0.00051171647,0.00017143434,0.0002731419,0.00017270885,0.00028459608,0.00032722848,0.00026992892,0.0004066605,0.00013070958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002589755,0.00025233047,0.0007130913,0.00021977256,0.000083186984,0.00019881818,0.0001587999,0.7459054,0.05274783,0.0053878417,0.0010958766,0.19297816],"study_design_scores_gemma":[0.000017077726,0.00009952201,0.00019405296,0.000006136863,0.00001701058,0.000015835385,0.000006688812,0.9959714,0.0027692686,0.0004556111,0.00043984328,0.0000074851723],"about_ca_topic_score_codex":0.006194581,"about_ca_topic_score_gemma":0.0056794244,"teacher_disagreement_score":0.006194581,"about_ca_system_score_codex":0.0004118053,"about_ca_system_score_gemma":0.00043738843,"threshold_uncertainty_score":0.012317061},"labels":[],"label_agreement":null},{"id":"W2052424261","doi":"10.1504/ijhvs.2012.045762","title":"RETRACTED ARTICLE An alternative approach to CB radio using point-to-point communications","year":2012,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Regina","funders":"","keywords":"Dedicated short-range communications; Default gateway; Quality of service; Point (geometry); Computer network; Telecommunications; Communications system; Service (business); Point-to-point; Engineering; Computer science; Gateway (web page); Wireless; World Wide Web","score_opus":0.036286096783924936,"score_gpt":0.2901867478529627,"score_spread":0.2539006510690378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052424261","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021731768,0.025391344,0.07055265,0.13986339,0.51895815,0.00040271253,0.0014566362,0.0029191393,0.21872424],"genre_scores_gemma":[0.12059013,0.015133066,0.028245846,0.03349689,0.07261207,0.00017126574,0.0012309162,0.0010663212,0.7274535],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833715,0.000282169,0.00011856008,0.00022770363,0.0008671647,0.00016727993],"domain_scores_gemma":[0.9922901,0.0021108866,0.00032932675,0.0010216715,0.003741693,0.00050634926],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0023507052,0.00052244036,0.00038036978,0.0011024709,0.0012803558,0.0022786453,0.0023853206,0.0044136574,0.052900158],"category_scores_gemma":[0.00821367,0.00024040276,0.0005321697,0.001000787,0.0010280091,0.0022601096,0.0015333374,0.0029976263,0.02401611],"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":[0.0006272281,0.00015251596,0.0018760357,0.0010423518,0.000048681617,0.0033698059,0.0006995644,0.000966437,0.010809825,0.04003894,0.65688086,0.28348774],"study_design_scores_gemma":[0.00001591819,0.000078019824,0.00032773442,0.000095584226,0.000012340409,0.00073907315,0.00011063005,0.0005135594,0.001963132,0.0015979419,0.9945314,0.000014712656],"about_ca_topic_score_codex":0.0027347435,"about_ca_topic_score_gemma":0.0044405246,"teacher_disagreement_score":0.99558634,"about_ca_system_score_codex":0.0011431549,"about_ca_system_score_gemma":0.0011156194,"threshold_uncertainty_score":0.1769687},"labels":[],"label_agreement":null},{"id":"W2068164525","doi":"10.1504/ijhvs.2001.001161","title":"Static and dynamic analysis of tow trucks with tag axle during towing manoeuvres","year":2001,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Mechanical Engineering and Vibrations Research","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 du Québec","funders":"","keywords":"Towing; Truck; Axle; Engineering; Automotive engineering; Structural engineering; Articulated vehicle; Axle load; Marine engineering","score_opus":0.0068787393309226695,"score_gpt":0.2498719969810731,"score_spread":0.24299325765015042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068164525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99439776,0.00004075951,0.0040921574,0.000011627065,0.000006087805,0.000015552383,0.000062305364,0.000046908088,0.0013269082],"genre_scores_gemma":[0.9982305,0.000034132638,0.0004855153,0.0000033223578,0.0000012421362,0.000008976759,0.00008615054,0.000009008163,0.001141195],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998253,0.000016167613,0.0000066559373,0.000021223206,0.00007682157,0.00005377786],"domain_scores_gemma":[0.99975973,0.00009407962,0.000025690106,0.000016445743,0.000069784815,0.00003418574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016953357,0.00029781277,0.00055611803,0.0004556261,0.00048981205,0.0003845255,0.00028202386,0.00047437,0.0019009326],"category_scores_gemma":[0.0004949119,0.00027799516,0.0004172806,0.00022023248,0.00030804364,0.0003251161,0.00030012606,0.0002487691,0.0004853582],"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":[0.0026451447,0.00044207124,0.053578977,0.00037964658,0.00019149015,0.0018637863,0.001428148,0.33908176,0.52749926,0.0005022617,0.00072211545,0.071665294],"study_design_scores_gemma":[0.0000548786,0.0016749955,0.10025981,0.000036628153,0.000102763624,0.00038779477,0.002069836,0.78951985,0.102771156,0.0002529117,0.0027782572,0.00009118508],"about_ca_topic_score_codex":0.0042575677,"about_ca_topic_score_gemma":0.0047286563,"teacher_disagreement_score":0.0042575677,"about_ca_system_score_codex":0.00023806274,"about_ca_system_score_gemma":0.00021921494,"threshold_uncertainty_score":0.0084655285},"labels":[],"label_agreement":null},{"id":"W2076051056","doi":"10.1504/ijhvs.2014.057828","title":"On message filtering for cooperative localisation of vehicles in an urban environment","year":2013,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Indoor and Outdoor Localization Technologies","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":"University of Regina","funders":"","keywords":"Dedicated short-range communications; Position (finance); Range (aeronautics); Degenerate energy levels; Measure (data warehouse); Engineering; Filter (signal processing); Computer science; Wireless; Real-time computing; Transport engineering; Simulation; Telecommunications; Data mining; Electrical engineering; Aerospace engineering","score_opus":0.01281651091063156,"score_gpt":0.23429515844431195,"score_spread":0.2214786475336804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076051056","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00930915,0.0001419978,0.98995084,0.00005066778,0.00002165428,0.000012635865,0.0000068379068,0.00011763827,0.00038847205],"genre_scores_gemma":[0.6392853,0.0007293597,0.3549687,0.00015288692,0.00020239937,0.00013003836,0.00014995098,0.0000820108,0.0042993072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988949,0.00034299743,0.000059181082,0.00018353589,0.0004142786,0.00010513869],"domain_scores_gemma":[0.9966382,0.0024409578,0.00027322923,0.00023983074,0.00035613356,0.00005155344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015275497,0.00075799006,0.0007494946,0.0012540652,0.0006291823,0.0006726028,0.00094163883,0.0011238824,0.0006906083],"category_scores_gemma":[0.006497823,0.0003084998,0.00065846334,0.0012996341,0.00088913366,0.0014018307,0.0009527939,0.00057349855,0.0003996649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003050938,0.00007900549,0.0024803937,0.00019191093,0.00010911651,0.00026233768,0.0004974187,0.6028229,0.019627813,0.023233306,0.0011516211,0.34923905],"study_design_scores_gemma":[0.0000116925785,0.00010958689,0.00058851193,0.00001110297,0.000020301097,0.00010031029,0.000039469305,0.9861378,0.005065012,0.006312021,0.0015844262,0.0000196856],"about_ca_topic_score_codex":0.0035572825,"about_ca_topic_score_gemma":0.0030525199,"teacher_disagreement_score":0.0035572825,"about_ca_system_score_codex":0.00064899545,"about_ca_system_score_gemma":0.00053668034,"threshold_uncertainty_score":0.0080785155},"labels":[],"label_agreement":null},{"id":"W2097262471","doi":"10.1504/ijhvs.2009.027133","title":"Multi-objective shape optimisation of an automotive universal joint assembly","year":2009,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Manufacturing Process and Optimization","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":"Queen's University","funders":"","keywords":"Automotive industry; Joint (building); Component (thermodynamics); Engineering; Machining; Domain (mathematical analysis); Volume (thermodynamics); Automotive engineering; Mechanical engineering; Structural engineering; Mathematical optimization; Mathematics; Aerospace engineering","score_opus":0.015543884137953776,"score_gpt":0.2479015722863556,"score_spread":0.23235768814840183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097262471","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2892668,0.0008530252,0.7019958,0.00011287364,0.000045186564,0.00012385317,0.00007847207,0.00024922573,0.007274849],"genre_scores_gemma":[0.8850113,0.00019417852,0.110775776,0.000042827414,0.000014802889,0.00012686488,0.000095341085,0.00008305764,0.0036559566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993007,0.00028566146,0.0000264686,0.00009768987,0.00019206147,0.0000974221],"domain_scores_gemma":[0.9989705,0.00062730664,0.00012705734,0.00005735701,0.00017137804,0.00004641941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020710938,0.0010176755,0.0011328888,0.0010999741,0.000305834,0.0009823205,0.0009108112,0.0011781399,0.0013067169],"category_scores_gemma":[0.0030238417,0.0005745969,0.0011381996,0.0007062198,0.0007106365,0.00084298843,0.0009484356,0.00053817715,0.0001990842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003292232,0.000017172708,0.00018695324,0.000034833105,0.000016759985,0.000024893625,0.000012757963,0.98999107,0.0011217167,0.00063761143,0.000046627676,0.007876713],"study_design_scores_gemma":[0.0000065227478,0.000076323726,0.00019403559,0.000004553403,0.000008444267,0.00001144411,0.000009531467,0.99820805,0.0007810833,0.0005346024,0.00016093603,0.0000044410317],"about_ca_topic_score_codex":0.0026066443,"about_ca_topic_score_gemma":0.002254863,"teacher_disagreement_score":0.0026066443,"about_ca_system_score_codex":0.00076792954,"about_ca_system_score_gemma":0.0008079076,"threshold_uncertainty_score":0.010953128},"labels":[],"label_agreement":null},{"id":"W210150536","doi":"","title":"Assessing the reliability of road accident severity models","year":2014,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Traffic and Road Safety","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":"","keywords":"Reliability (semiconductor); Robustness (evolution); Goodness of fit; Consistency (knowledge bases); Poison control; Statistics; Accident (philosophy); Engineering; Statistical model; Forensic engineering; Reliability engineering; Computer science; Mathematics; Medicine; Environmental health; Artificial intelligence","score_opus":0.01551206923281552,"score_gpt":0.2699441262714742,"score_spread":0.2544320570386587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W210150536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8302216,0.0008253534,0.16214658,0.00046643408,0.000113165814,0.0003253742,0.0016645604,0.0009766986,0.0032601843],"genre_scores_gemma":[0.9846089,0.00010308087,0.013778848,0.00003039536,0.000022799488,0.00008178838,0.0010392552,0.00008990024,0.00024510216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9423025,0.038865756,0.0046641165,0.005634407,0.007339869,0.0011934082],"domain_scores_gemma":[0.64807165,0.2678255,0.019035514,0.03934396,0.024200924,0.0015223627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.082334034,0.0016467151,0.0016870751,0.0046931305,0.0009787304,0.0028700326,0.0023937318,0.0017951414,0.0013028589],"category_scores_gemma":[0.27854362,0.0012154527,0.003447131,0.0029712063,0.0021083842,0.002871119,0.0033481617,0.0017522208,0.0006462744],"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":[0.0017724279,0.0002821178,0.33117265,0.00045958246,0.0036468005,0.00040387735,0.0021398382,0.6089647,0.0020585372,0.005914396,0.001475367,0.041709717],"study_design_scores_gemma":[0.00008717078,0.0006602276,0.05768982,0.0001645152,0.00041813133,0.00027562308,0.0006211697,0.92673093,0.0013655741,0.010399689,0.0014315202,0.00015568947],"about_ca_topic_score_codex":0.012257441,"about_ca_topic_score_gemma":0.006408437,"teacher_disagreement_score":0.082334034,"about_ca_system_score_codex":0.0015731361,"about_ca_system_score_gemma":0.0020221225,"threshold_uncertainty_score":0.43542922},"labels":[],"label_agreement":null},{"id":"W2102953544","doi":"10.1504/ijhvs.2013.056912","title":"A parallel design optimisation method for articulated heavy vehicles with active safety systems","year":2013,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":24,"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":"Computation; Engineering; Simulation; Control engineering; Task (project management); Active safety; Active steering; Function (biology); Computer science; Automotive engineering; Systems engineering; Artificial intelligence; Control (management); Algorithm","score_opus":0.012474397626356878,"score_gpt":0.2420585642583563,"score_spread":0.22958416663199943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102953544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023451296,0.000061725186,0.9951369,0.00002383511,0.000020067862,0.000032627984,0.000012591103,0.00013442822,0.0022327087],"genre_scores_gemma":[0.19493721,0.00020033967,0.7988305,0.000060348008,0.000042274667,0.00038186304,0.00008783682,0.00017189105,0.0052877166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999605,0.00009600306,0.000018058596,0.000075814496,0.00017175057,0.000033408058],"domain_scores_gemma":[0.9996977,0.00013778417,0.00004486394,0.000029084173,0.00007729898,0.000013336305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007676665,0.00096428336,0.0008064317,0.0006755762,0.00051167177,0.0005113902,0.00074118975,0.000718435,0.0045172614],"category_scores_gemma":[0.0009126754,0.0005284519,0.001105988,0.0004883666,0.00057458435,0.0004336493,0.0007674584,0.00082064926,0.0007970573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005097555,0.00003915568,0.00018878221,0.00015457909,0.000038699684,0.00007143885,0.00006466956,0.90230054,0.008017438,0.00905771,0.00065599347,0.07935996],"study_design_scores_gemma":[0.000020664542,0.000054620166,0.00005947283,0.000009253194,0.000010267465,0.000026994654,0.000008383546,0.9916088,0.0013165362,0.0037626578,0.0031158607,0.0000064917726],"about_ca_topic_score_codex":0.002864436,"about_ca_topic_score_gemma":0.002738831,"teacher_disagreement_score":0.0045172614,"about_ca_system_score_codex":0.00047047288,"about_ca_system_score_gemma":0.0011079768,"threshold_uncertainty_score":0.015111744},"labels":[],"label_agreement":null},{"id":"W2105900821","doi":"10.1504/ijhvs.2008.022251","title":"Dynamic modelling and virtual prototype simulation of dump truck-haul road interactions","year":2008,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Soil Mechanics and Vehicle 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":"Syncrude","keywords":"Truck; Engineering; Deformation (meteorology); Structural engineering; Vehicle dynamics; Work (physics); Stress (linguistics); Point (geometry); Dynamic load testing; Automotive engineering; Geotechnical engineering; Mechanical engineering; Geology","score_opus":0.018510479283756768,"score_gpt":0.26108811534726767,"score_spread":0.2425776360635109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105900821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9413542,0.000052072894,0.04832421,0.00005967312,0.00003881175,0.00009361651,0.0002536723,0.0005218318,0.009301927],"genre_scores_gemma":[0.9956955,0.000025288746,0.0028506657,0.0000045015017,0.0000019248673,0.000046293575,0.00007249276,0.000018597912,0.0012847132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999801,0.000055620658,0.0000072865387,0.000022253706,0.00007161217,0.000042267824],"domain_scores_gemma":[0.9996754,0.00013291271,0.000031051888,0.000044423694,0.000064220796,0.0000520054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027945382,0.00046535808,0.00059594103,0.00037951372,0.0003782674,0.00066699024,0.0012037497,0.001225874,0.003964111],"category_scores_gemma":[0.00068998465,0.00034137623,0.00041830214,0.00025677498,0.0005657379,0.00048319067,0.0006376174,0.0004254234,0.00038245428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026118613,0.000085438915,0.0013127546,0.0000724072,0.000028345008,0.0005746065,0.00023905054,0.9777543,0.01306943,0.0008986686,0.0003481545,0.0053556636],"study_design_scores_gemma":[0.00003441984,0.00020504152,0.001076768,0.0000057218654,0.000010249114,0.00007060917,0.00010764549,0.99410003,0.0034328578,0.00017569469,0.0007680131,0.0000128354095],"about_ca_topic_score_codex":0.005213553,"about_ca_topic_score_gemma":0.0031548848,"teacher_disagreement_score":0.005213553,"about_ca_system_score_codex":0.0003280118,"about_ca_system_score_gemma":0.00040043617,"threshold_uncertainty_score":0.013261199},"labels":[],"label_agreement":null},{"id":"W2107024105","doi":"10.1504/ijhvs.2010.035995","title":"Analysis of transient fluid slosh in partly-filled tanks with and without baffles: Part 2 – role of baffles","year":2010,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Fluid Dynamics Simulations and Interactions","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":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère des Transports","keywords":"Baffle; Slosh dynamics; Mechanics; Engineering; Structural engineering; Moment (physics); Transient (computer programming); Physics; Mechanical engineering; Computer science; Classical mechanics","score_opus":0.006956454024111312,"score_gpt":0.24277087209612136,"score_spread":0.23581441807201003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107024105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99128824,0.000024930236,0.007816423,0.000014595307,0.000003461661,0.0000074691134,0.00003679029,0.0000633271,0.0007448258],"genre_scores_gemma":[0.9992423,0.00000842922,0.00044673446,0.0000016778531,5.1049085e-7,0.0000031517284,0.000020970894,0.00000454574,0.00027185434],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999136,0.000012456608,0.000003973527,0.0000116054325,0.000032089625,0.000026324478],"domain_scores_gemma":[0.9997298,0.00014116232,0.000042443837,0.000019696548,0.00004478933,0.000022089149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017221404,0.000197471,0.00027966278,0.00034268937,0.0002678235,0.0003447761,0.0002173854,0.0003623829,0.0012972171],"category_scores_gemma":[0.00046102607,0.00014583934,0.00034373114,0.00018328773,0.0005218188,0.00028510502,0.00022529044,0.00018298234,0.00010366029],"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":[0.0015946372,0.00013826808,0.017703539,0.00022318754,0.00005158764,0.0007456553,0.0003475436,0.3578208,0.59551233,0.0013526613,0.00031469984,0.024195053],"study_design_scores_gemma":[0.00003709375,0.00049024285,0.024491569,0.000012162068,0.000018452689,0.000081133476,0.00028371185,0.85956454,0.11416795,0.00027568982,0.0005480703,0.000029372299],"about_ca_topic_score_codex":0.0036644223,"about_ca_topic_score_gemma":0.0029396608,"teacher_disagreement_score":0.0036644223,"about_ca_system_score_codex":0.00037170987,"about_ca_system_score_gemma":0.00026916384,"threshold_uncertainty_score":0.007286191},"labels":[],"label_agreement":null},{"id":"W2122918123","doi":"10.1504/ijhvs.2011.037961","title":"Crashworthiness improvement of a pickup truck's chassis frame using the Pareto-Front and genetic algorithm","year":2011,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Chassis; Crashworthiness; Truck; Engineering; Automotive engineering; Flexibility (engineering); Frame (networking); Genetic algorithm; Multi-objective optimization; Relation (database); Optimal design; Automotive industry; Pareto principle; Set (abstract data type); Pickup; Structural engineering; Computer science; Finite element method; Mechanical engineering; Mathematical optimization; Mathematics; Aerospace engineering","score_opus":0.012090407731170193,"score_gpt":0.21729892936497816,"score_spread":0.20520852163380796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122918123","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09432727,0.00023383468,0.90032923,0.00005280218,0.000016073405,0.000046840134,0.000012130715,0.00013811872,0.0048436536],"genre_scores_gemma":[0.7877541,0.00026980395,0.20906001,0.000025582725,0.000015173418,0.00008806185,0.00004949952,0.00003638619,0.0027012615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998448,0.00003448852,0.0000042257643,0.000018143624,0.00007896292,0.00001942901],"domain_scores_gemma":[0.9998337,0.00007359146,0.000022158416,0.00001016074,0.000054609205,0.0000057876377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049245055,0.0006437773,0.00041137135,0.00092904805,0.00032462212,0.0003861547,0.0004430178,0.00047678236,0.00095528126],"category_scores_gemma":[0.0008946046,0.00020186711,0.00051249185,0.0003513547,0.00034719385,0.0002717553,0.0002603311,0.00033201627,0.00015129751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004503393,0.000044131826,0.00057950057,0.000043126372,0.000022651999,0.00004475879,0.000047347938,0.9154214,0.012819172,0.005272208,0.00022173751,0.06543892],"study_design_scores_gemma":[0.0000105992585,0.000076212986,0.0003541733,0.000007538756,0.000015978994,0.000018124852,0.000011910398,0.9942979,0.0035114475,0.0011752687,0.00051588507,0.000004984078],"about_ca_topic_score_codex":0.0031976968,"about_ca_topic_score_gemma":0.0026990524,"teacher_disagreement_score":0.0031976968,"about_ca_system_score_codex":0.0005771049,"about_ca_system_score_gemma":0.00057161174,"threshold_uncertainty_score":0.0063581467},"labels":[],"label_agreement":null},{"id":"W2129396453","doi":"10.1504/ijhvs.2008.022246","title":"Dynamic analyses of heavy vehicle with pitch-interconnected suspensions","year":2008,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vibration Control and Rheological Fluids","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":"Concordia University","funders":"","keywords":"Pitch angle; Mode (computer interface); Automotive engineering; Flexibility (engineering); Axle; Engineering; Heavy load; Pitch control; Structural engineering; Computer science; Aerospace engineering; Physics; Mathematics","score_opus":0.02411494703978491,"score_gpt":0.27041652240319725,"score_spread":0.24630157536341235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129396453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606028,0.00010219517,0.035462458,0.000036143036,0.00001018606,0.000035794732,0.000054730564,0.00006359049,0.003632153],"genre_scores_gemma":[0.9981426,0.000036302474,0.0009291097,0.0000037450852,0.0000017955703,0.0000103173725,0.000034520282,0.0000041540943,0.00083742896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993205,0.000010313873,0.0000037423333,0.0000115681,0.000025930136,0.000016338468],"domain_scores_gemma":[0.9998716,0.000053148062,0.000026220425,0.000010452707,0.000028207294,0.000010293999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012464731,0.00030018477,0.0002485716,0.00029114625,0.00020572926,0.00034384945,0.00019635724,0.00037933377,0.0011539502],"category_scores_gemma":[0.0003385147,0.00013023644,0.00025856614,0.00012193273,0.00036951707,0.0002736027,0.00037419458,0.00020471546,0.00014197922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040767956,0.00008712318,0.005723208,0.00020549742,0.00005862353,0.00071038294,0.00034638308,0.6870907,0.278919,0.0030399177,0.00029662164,0.023114817],"study_design_scores_gemma":[0.000017208067,0.00018701647,0.0033414476,0.000007453228,0.00001188592,0.000043153235,0.00012752855,0.976694,0.018462606,0.0005151092,0.0005791172,0.000013468486],"about_ca_topic_score_codex":0.0020794482,"about_ca_topic_score_gemma":0.0013899714,"teacher_disagreement_score":0.0020794482,"about_ca_system_score_codex":0.00016560714,"about_ca_system_score_gemma":0.00018218151,"threshold_uncertainty_score":0.004134655},"labels":[],"label_agreement":null},{"id":"W2135657463","doi":"10.1504/ijhvs.2010.035994","title":"Analysis of transient fluid slosh in partly-filled tanks with and without baffles: Part 1 – model validation","year":2010,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Fluid Dynamics Simulations and Interactions","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":"Concordia University","funders":"Ministère des Transports; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Slosh dynamics; Volume of fluid method; Acceleration; Engineering; Baffle; Transient (computer programming); Mechanics; Computational fluid dynamics; Fluent; Range (aeronautics); Structural engineering; Flow (mathematics); Physics; Aerospace engineering; Mechanical engineering; Computer science; Classical mechanics","score_opus":0.01294692469974199,"score_gpt":0.2611686909986071,"score_spread":0.24822176629886514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135657463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9585231,0.000060133236,0.038132917,0.000054812954,0.000018235656,0.00009299479,0.00066231744,0.00045901636,0.0019964238],"genre_scores_gemma":[0.9951066,0.000033569744,0.0034774106,0.000006412717,0.000001517638,0.00009463098,0.00024406826,0.000019818486,0.0010159701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998487,0.000023200828,0.0000111102545,0.000025308378,0.00006024366,0.000031444473],"domain_scores_gemma":[0.99955076,0.0002301207,0.000045929602,0.000058942896,0.00008716606,0.000027110125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032872462,0.0004651215,0.0005862869,0.00033658743,0.00043667122,0.00052943005,0.0006563347,0.0008583144,0.001693497],"category_scores_gemma":[0.00088566146,0.0002254974,0.0005676905,0.00027018972,0.00059145066,0.00046473768,0.00043895913,0.00042342232,0.00023201226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027067168,0.00011454917,0.0044271774,0.00014897232,0.000019342804,0.00016629383,0.00014688277,0.9339368,0.05224163,0.00055936514,0.00030389856,0.0076644286],"study_design_scores_gemma":[0.000022566097,0.0001425608,0.0021098477,0.0000070145725,0.000005182407,0.000016119327,0.00005265733,0.97685605,0.02033936,0.00011738301,0.00031612063,0.00001508209],"about_ca_topic_score_codex":0.01082468,"about_ca_topic_score_gemma":0.0053562396,"teacher_disagreement_score":0.01082468,"about_ca_system_score_codex":0.00057592575,"about_ca_system_score_gemma":0.00084178,"threshold_uncertainty_score":0.021523356},"labels":[],"label_agreement":null},{"id":"W2155536395","doi":"10.1504/ijhvs.2008.022239","title":"Approaches to improving the mobility of military tracked vehicles on soft terrain","year":2008,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Soil Mechanics and Vehicle 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":"Carleton University","funders":"","keywords":"Terrain; Track (disk drive); Engineering; Automotive engineering; Simulation; Mechanical engineering; Geography","score_opus":0.0465372366890664,"score_gpt":0.22936423017753368,"score_spread":0.1828269934884673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155536395","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3500467,0.0009643549,0.63740647,0.00044434058,0.000052419015,0.0001767427,0.00007636464,0.0006170485,0.010215556],"genre_scores_gemma":[0.9254591,0.0005961509,0.071646884,0.000028446297,0.000015651382,0.000065599204,0.000064282445,0.00002520748,0.0020987152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998387,0.000043436536,0.000008713908,0.000021659678,0.000053926233,0.000033608714],"domain_scores_gemma":[0.99971324,0.00007428032,0.00007486969,0.000046238583,0.000059803002,0.000031543706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002658721,0.000554254,0.00032707752,0.0005431483,0.00048739856,0.000519028,0.0009109904,0.0003620293,0.0016939694],"category_scores_gemma":[0.00075028284,0.00015557016,0.00032217623,0.0002568477,0.00046166964,0.0006776035,0.0011396267,0.00038516588,0.00034119876],"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":[0.0003152926,0.00020367414,0.005392454,0.00055422005,0.000090086316,0.00031461526,0.00045733096,0.5362572,0.15734385,0.014576806,0.00072711124,0.28376734],"study_design_scores_gemma":[0.00017423443,0.0022891394,0.005647164,0.00015770127,0.00017253954,0.00054834574,0.0013197834,0.8592703,0.093966305,0.011073821,0.025281783,0.00009884358],"about_ca_topic_score_codex":0.0023751683,"about_ca_topic_score_gemma":0.004445781,"teacher_disagreement_score":0.0023751683,"about_ca_system_score_codex":0.00038176455,"about_ca_system_score_gemma":0.0005495148,"threshold_uncertainty_score":0.005666852},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072508324,0.00010514317,0.991746,0.00002746289,0.000014931541,0.000013695003,0.00000819807,0.0001405552,0.00069324474],"genre_scores_gemma":[0.52510285,0.00021832572,0.47322935,0.00003150741,0.000032593332,0.000084484665,0.000049543636,0.00009289397,0.0011584178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996433,0.0000940501,0.000019926143,0.000059314734,0.00016316726,0.000020269974],"domain_scores_gemma":[0.9986399,0.00079815893,0.00014127682,0.00007202885,0.00031371927,0.00003487981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070484745,0.00062164397,0.00054671924,0.0008374011,0.00031978203,0.00047277624,0.0003931256,0.00032350403,0.0010847925],"category_scores_gemma":[0.0034929218,0.00033906865,0.00027960786,0.00052959326,0.0006420136,0.00041832466,0.0006013626,0.0006362728,0.00020189541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118312746,0.000055656415,0.0018772242,0.00016724008,0.000042859516,0.00017336351,0.00016541705,0.7015819,0.015755279,0.024614723,0.0008395605,0.25460848],"study_design_scores_gemma":[0.000006832551,0.00003207727,0.0001577126,0.0000061183364,0.0000024192366,0.000033408855,0.000007207162,0.99326867,0.0015329737,0.0044005127,0.0005463253,0.0000057689253],"about_ca_topic_score_codex":0.0023438626,"about_ca_topic_score_gemma":0.0012907234,"teacher_disagreement_score":0.0023438626,"about_ca_system_score_codex":0.00038084819,"about_ca_system_score_gemma":0.00068174454,"threshold_uncertainty_score":0.004660368},"labels":[],"label_agreement":null},{"id":"W2190514569","doi":"10.1504/ijhvs.2015.070415","title":"Numerical and experimental characterisation of the dynamic behaviour of a passenger aircraft seat during a takeoff condition","year":2015,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Effects of Vibration on Health","field":"Medicine","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":"McMaster University; University of Guelph; Ontario Tech University","funders":"University of Ontario Institute of Technology","keywords":"Takeoff; Modal; Engineering; Structural engineering; Vibration; Finite element method; Takeoff and landing; Transmissibility (structural dynamics); Modal analysis; Experimental data; Vehicle dynamics; Airplane; Automotive engineering; Simulation; Aerospace engineering; Acoustics","score_opus":0.01714562279725474,"score_gpt":0.32732812517825466,"score_spread":0.3101825023809999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2190514569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810606,0.00010525663,0.017678618,0.000016376382,0.000014596102,0.000030329755,0.00015035791,0.00007604639,0.0008676554],"genre_scores_gemma":[0.99531895,0.00006805315,0.0037794742,0.000004599749,0.0000029992768,0.0000165907,0.00008283462,0.000005103592,0.0007214109],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998361,0.000021971504,0.000011538464,0.00003067677,0.000079410434,0.000020257705],"domain_scores_gemma":[0.99969876,0.000120149765,0.000033320535,0.000058850514,0.00006912925,0.0000197447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028729008,0.00032150644,0.00024079574,0.0002491045,0.00019118942,0.00022042429,0.0002823343,0.00044699278,0.0019227574],"category_scores_gemma":[0.00071623106,0.00010565088,0.00020435508,0.00013387432,0.00031855516,0.00015086432,0.00023875172,0.00017023123,0.00028122397],"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":[0.0003534861,0.00017339074,0.0061767064,0.00018135531,0.00000928876,0.00019243044,0.00042879477,0.012080408,0.9627081,0.00016234908,0.00009232631,0.017441336],"study_design_scores_gemma":[0.00005368501,0.0071108914,0.1270638,0.00004897805,0.00008464464,0.0012003847,0.0013817688,0.1576622,0.7019933,0.00023400618,0.003088356,0.00007794551],"about_ca_topic_score_codex":0.0009568057,"about_ca_topic_score_gemma":0.0013997669,"teacher_disagreement_score":0.0019227574,"about_ca_system_score_codex":0.00010756659,"about_ca_system_score_gemma":0.00015072715,"threshold_uncertainty_score":0.0064322352},"labels":[],"label_agreement":null},{"id":"W2191726302","doi":"10.1504/ijhvs.2015.073205","title":"An optimal gear-shifting strategy for heavy trucks with trade-off study between trip time and fuel economy","year":2015,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Mining Techniques and Economics","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 Waterloo","funders":"","keywords":"Truck; Engineering; Weighting; Automotive engineering; Fuel efficiency; Dynamic programming; MATLAB; Diesel fuel; Transport engineering; Tonne; Waste management; Computer science; Mathematical optimization; Mathematics","score_opus":0.034849398097372,"score_gpt":0.2787090691055412,"score_spread":0.24385967100816922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191726302","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4116205,0.00017801899,0.57562196,0.00013271632,0.000024992656,0.00016699798,0.000058774796,0.00019201674,0.012004017],"genre_scores_gemma":[0.9770519,0.000042203923,0.021158863,0.000009916447,0.0000022342676,0.000046247296,0.000014148547,0.00001266341,0.0016618499],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989986,0.000021318958,0.0000045874126,0.000019049561,0.000028277744,0.000026941158],"domain_scores_gemma":[0.99983907,0.00006977577,0.000031993237,0.000011975974,0.000030759238,0.000016403112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029658727,0.00051345874,0.00050570717,0.00032158766,0.00026703996,0.0005095486,0.00053464214,0.0007012098,0.0016660634],"category_scores_gemma":[0.00064526417,0.00032499246,0.000442076,0.00017061441,0.00034723952,0.0003183675,0.00039884224,0.00032678392,0.00016910202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005316088,0.00004235914,0.00030771576,0.00005456462,0.000009510228,0.000060869785,0.00004206166,0.9821784,0.006658572,0.0011949546,0.00009389848,0.009303955],"study_design_scores_gemma":[0.000011802038,0.00008895423,0.00019303449,0.0000042110287,0.0000068650684,0.000012225406,0.000015223558,0.9979539,0.0009830081,0.0005257432,0.00019975725,0.0000051778757],"about_ca_topic_score_codex":0.0065076197,"about_ca_topic_score_gemma":0.005297471,"teacher_disagreement_score":0.0065076197,"about_ca_system_score_codex":0.00046361762,"about_ca_system_score_gemma":0.0006592064,"threshold_uncertainty_score":0.012939453},"labels":[],"label_agreement":null},{"id":"W2218136652","doi":"","title":"Modelling the dynamic response of the human spine to shock and vibration using a recurrent neural network","year":2014,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Effects of Vibration on Health","field":"Medicine","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":"Critical Systems Labs; Simon Fraser University","funders":"","keywords":"Acceleration; Shock (circulatory); Artificial neural network; Engineering; Nonlinear system; Vibration; Control theory (sociology); Network model; Simulation; Vertebra; Structural engineering; Computer science; Artificial intelligence; Acoustics; Geology; Control (management)","score_opus":0.030208798791728008,"score_gpt":0.3434463634522911,"score_spread":0.31323756466056313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218136652","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41292563,0.00043396387,0.5817897,0.00026568264,0.00006246728,0.00006956611,0.00023976037,0.00059297954,0.0036202043],"genre_scores_gemma":[0.98126906,0.00014885607,0.016309664,0.000021646878,0.000009504232,0.000053986027,0.00008422761,0.0000129149985,0.002090121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998871,0.00003079367,0.0000075572907,0.000034501623,0.000020966205,0.000019110805],"domain_scores_gemma":[0.9997856,0.00012734826,0.000032105807,0.000010517158,0.000037792888,0.0000066931893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041606554,0.00043232826,0.00031642456,0.00021652425,0.00015694254,0.000358147,0.0006022921,0.0007541512,0.0009461034],"category_scores_gemma":[0.0010467856,0.00030673077,0.0004589186,0.00020177147,0.0002498335,0.00042270648,0.00026639455,0.0004851207,0.000187923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025388323,0.000013290288,0.00092956703,0.000017950164,0.000017600627,0.00005158903,0.00002705167,0.99127454,0.002483405,0.00040326003,0.000061146864,0.004695256],"study_design_scores_gemma":[0.0000010337105,0.00000989401,0.00023695768,0.0000012465755,0.0000031204793,0.0000046383443,0.0000020536177,0.9993876,0.00020534631,0.00011790584,0.000028373497,0.0000017769037],"about_ca_topic_score_codex":0.015808921,"about_ca_topic_score_gemma":0.011723202,"teacher_disagreement_score":0.015808921,"about_ca_system_score_codex":0.00046448084,"about_ca_system_score_gemma":0.00054938154,"threshold_uncertainty_score":0.03143376},"labels":[],"label_agreement":null},{"id":"W2245491501","doi":"10.1504/ijhvs.2015.071683","title":"Braking and steering performance analysis of a road vehicle with active independent front steering","year":2015,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Automobile handling; Engineering; Automotive engineering; Robustness (evolution); Vehicle dynamics; Yaw; Active safety; Simulation; Active steering; Parametric statistics; Control theory (sociology); Computer science; Control (management); Mathematics; Artificial intelligence","score_opus":0.009186398472950398,"score_gpt":0.2148817171430097,"score_spread":0.2056953186700593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2245491501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97317827,0.00010139032,0.02381575,0.000027160806,0.000010420448,0.000028033568,0.00005414992,0.00012642042,0.0026584032],"genre_scores_gemma":[0.9993568,0.000019033369,0.0002713338,0.0000016537226,6.405056e-7,0.0000045870593,0.000018072786,0.0000017226805,0.0003261475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979645,0.000028997722,0.000011486888,0.00002990329,0.00007235861,0.000060871545],"domain_scores_gemma":[0.99947816,0.00016893372,0.000066689136,0.00004068043,0.00021982865,0.0000256803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029991585,0.00044946,0.0003626957,0.00054949516,0.0002183449,0.00037684262,0.00033170465,0.00035122407,0.001270718],"category_scores_gemma":[0.0007054096,0.0001584045,0.0003814797,0.00016127646,0.00022752662,0.00021015304,0.0002467906,0.00022839167,0.00028466637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002438526,0.00027106208,0.014472273,0.0005793145,0.00017226188,0.00051721046,0.00052236026,0.7144802,0.20010993,0.0010513957,0.00043075107,0.06495475],"study_design_scores_gemma":[0.00001757865,0.00094042666,0.008556592,0.0000068770078,0.00003780934,0.000051690866,0.00014442582,0.971992,0.017884197,0.00011606534,0.00023014189,0.000022231476],"about_ca_topic_score_codex":0.0062080254,"about_ca_topic_score_gemma":0.0035565794,"teacher_disagreement_score":0.0062080254,"about_ca_system_score_codex":0.00021391244,"about_ca_system_score_gemma":0.00029957693,"threshold_uncertainty_score":0.012343824},"labels":[],"label_agreement":null},{"id":"W2559963787","doi":"10.1504/ijhvs.2017.10001857","title":"Optimisation and comparison of different powertrain layouts for parallel hybrid electric vehicles equipped with continuous transmission","year":2016,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Electric and Hybrid Vehicle Technologies","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 Waterloo","funders":"","keywords":"Powertrain; Continuously variable transmission; Automotive engineering; Driving cycle; Transmission (telecommunications); Electric vehicle; Engineering; Automatic transmission; Fuel efficiency; Manual transmission; Power (physics); Sensitivity (control systems); Clutch; Torque; Electronic engineering; Electrical engineering","score_opus":0.013206566849988378,"score_gpt":0.2509051419919665,"score_spread":0.23769857514197812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559963787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8791031,0.00058752554,0.10974191,0.00006151378,0.00004213463,0.00012543905,0.00031478645,0.00034224225,0.009681326],"genre_scores_gemma":[0.9815196,0.00017338408,0.016843952,0.0000051072607,0.0000031967613,0.00005318463,0.00016649046,0.000042821703,0.0011922561],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983215,0.0000451653,0.000007791166,0.00003466727,0.000046377994,0.000033848257],"domain_scores_gemma":[0.9996929,0.00015384192,0.00005335214,0.00003351538,0.000048100184,0.000018207336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036670035,0.0009427251,0.00044483368,0.0007249107,0.00021603944,0.00082492613,0.00051370304,0.00045236567,0.0018752168],"category_scores_gemma":[0.0010569934,0.00042360584,0.00054381427,0.00053314195,0.00030151822,0.0005482069,0.00031353245,0.00035524537,0.00024872308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014194529,0.00008359826,0.0014156412,0.00014421869,0.000043665867,0.000081611724,0.00004110228,0.96985316,0.009183514,0.00047419537,0.00016877364,0.018368607],"study_design_scores_gemma":[0.000093993265,0.0012817392,0.0068123057,0.000036070443,0.00012861883,0.00013468435,0.00028879606,0.9656443,0.021965133,0.0013368301,0.0022259243,0.00005148525],"about_ca_topic_score_codex":0.0022886272,"about_ca_topic_score_gemma":0.0033817915,"teacher_disagreement_score":0.0022886272,"about_ca_system_score_codex":0.000590391,"about_ca_system_score_gemma":0.00041240265,"threshold_uncertainty_score":0.0062732697},"labels":[],"label_agreement":null},{"id":"W2617114310","doi":"10.1504/ijhvs.2017.10005337","title":"Experimental validation of the U<SUP align=\"right\">*</SUP> index theory for load transfer analysis","year":2017,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Mechanical Engineering and Vibrations Research","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 Manitoba","funders":"","keywords":"Transfer (computing); Index (typography); Physics; Atomic physics; Computer science","score_opus":0.018986587671824616,"score_gpt":0.29150795033218035,"score_spread":0.27252136266035576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617114310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8801859,0.00040819566,0.10507823,0.00024734315,0.0003543257,0.00057220645,0.00060167565,0.000691215,0.011860873],"genre_scores_gemma":[0.95262843,0.00021457738,0.04197441,0.00006464291,0.000026219397,0.0004101969,0.00018892194,0.00010059898,0.0043919277],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980585,0.00025335094,0.00013026112,0.0003069443,0.0010458638,0.0002051049],"domain_scores_gemma":[0.99615127,0.0012661427,0.0003705153,0.0008680985,0.0011511453,0.0001927641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017408702,0.0009486253,0.0003479769,0.00063172734,0.0007289161,0.00066276215,0.0012062582,0.0012526952,0.006907442],"category_scores_gemma":[0.0032538984,0.00036463438,0.00031959245,0.00039202775,0.0014519617,0.0007891982,0.00093286927,0.00073886843,0.0011928236],"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":[0.00036321278,0.0007283808,0.0011427009,0.0002486244,0.00000911955,0.00016715941,0.00033131684,0.004277314,0.97048295,0.0018167621,0.00059228716,0.019840067],"study_design_scores_gemma":[0.00003364818,0.003083374,0.0038207865,0.000031562005,0.000013260041,0.00009150169,0.0002583698,0.014603097,0.9745473,0.000457017,0.0030245567,0.00003545151],"about_ca_topic_score_codex":0.00068745465,"about_ca_topic_score_gemma":0.0010786986,"teacher_disagreement_score":0.006907442,"about_ca_system_score_codex":0.0004140123,"about_ca_system_score_gemma":0.00065430894,"threshold_uncertainty_score":0.023107648},"labels":[],"label_agreement":null},{"id":"W2791123257","doi":"10.1504/ijhvs.2018.10011869","title":"Development of hybrid electric heavy-duty truck with self-propelled trailer","year":2018,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Electric and Hybrid Vehicle Technologies","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":"Ontario Tech University","funders":"","keywords":"Truck; Trailer; Heavy duty; Engineering; Automotive engineering; Aeronautics; Aerospace engineering; Marine engineering","score_opus":0.009980146742711197,"score_gpt":0.22041672598054302,"score_spread":0.21043657923783182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791123257","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47447124,0.0004705841,0.50007963,0.00016074158,0.00017351664,0.00045566272,0.0002139493,0.0019774945,0.02199716],"genre_scores_gemma":[0.87829596,0.00032410762,0.10500841,0.000027969376,0.000014943983,0.00015197806,0.00038528471,0.000046211924,0.015745077],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992096,0.0000046719215,0.0000044518015,0.000015796093,0.00004406456,0.0000101029345],"domain_scores_gemma":[0.99995315,0.0000031474322,0.0000051959237,0.000007427686,0.000022548313,0.000008498083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001094684,0.00020803837,0.0002249633,0.00021524476,0.00021308128,0.00030240632,0.00086044427,0.00023631194,0.0014743052],"category_scores_gemma":[0.00008518023,0.00014453028,0.00024941604,0.00015670882,0.00012651704,0.00039713344,0.00031951995,0.00020393346,0.00042853656],"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":[0.0001839507,0.0003354302,0.0076262867,0.00063584815,0.00010805064,0.0010724763,0.0003094935,0.15178344,0.54328334,0.013084014,0.0027600871,0.27881762],"study_design_scores_gemma":[0.00014806142,0.0021655257,0.00889259,0.000036630405,0.00008133316,0.0014027589,0.00018590555,0.789939,0.13103662,0.0017051407,0.06432185,0.00008459077],"about_ca_topic_score_codex":0.0013863761,"about_ca_topic_score_gemma":0.0016843235,"teacher_disagreement_score":0.0014743052,"about_ca_system_score_codex":0.00014779759,"about_ca_system_score_gemma":0.00039596454,"threshold_uncertainty_score":0.0049319863},"labels":[],"label_agreement":null},{"id":"W2906440667","doi":"10.1504/ijhvs.2019.097108","title":"On robust controllers for active steering systems of articulated heavy vehicles","year":2018,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Engineering; Automotive engineering; Active steering; Active safety; Vehicle safety; Articulated vehicle; Control engineering; Aeronautics; Computer science; Control (management); Truck; Artificial intelligence","score_opus":0.011491439209678461,"score_gpt":0.23262520589384095,"score_spread":0.22113376668416249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906440667","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039360613,0.001400887,0.95162946,0.00007874723,0.000059596434,0.00005049204,0.000029768551,0.00030499802,0.007085444],"genre_scores_gemma":[0.9619191,0.000846232,0.034038898,0.000048910664,0.00005195214,0.00008135037,0.00006369973,0.000030095878,0.0029198793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996842,0.00006745133,0.000021773794,0.00005013819,0.00014857383,0.000027784801],"domain_scores_gemma":[0.99906236,0.0005093271,0.00014932349,0.00006181043,0.00020461358,0.000012543044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077210803,0.0006840318,0.00042547798,0.00041681482,0.00018368698,0.0006673081,0.00038948486,0.00049556594,0.0014993236],"category_scores_gemma":[0.0020799926,0.00014352253,0.00046804335,0.00025435662,0.00047533796,0.00038910314,0.00051006366,0.00049219595,0.00020726203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000772204,0.000022196882,0.00020786015,0.00020984115,0.000037481557,0.000082091006,0.000103065206,0.91879034,0.017602494,0.011896942,0.00023885051,0.050731704],"study_design_scores_gemma":[0.000008328132,0.00016910644,0.00022490603,0.000017801027,0.000011151184,0.000023039975,0.000014581299,0.9920705,0.0040553533,0.0022863904,0.0011114406,0.000007396564],"about_ca_topic_score_codex":0.0019148034,"about_ca_topic_score_gemma":0.0009525279,"teacher_disagreement_score":0.0019148034,"about_ca_system_score_codex":0.0002533819,"about_ca_system_score_gemma":0.0003150384,"threshold_uncertainty_score":0.005015731},"labels":[],"label_agreement":null},{"id":"W2909032094","doi":"10.1504/ijhvs.2019.10018454","title":"Analysing human effect on the reliability of mining equipment","year":2019,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Mining Techniques and Economics","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":"Truck; Reliability (semiconductor); Engineering; Heavy equipment; Reliability engineering; Mining industry; Operator (biology); Transport engineering; Automotive engineering; Mining engineering","score_opus":0.013102387230971497,"score_gpt":0.25709096889884897,"score_spread":0.24398858166787749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909032094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99307114,0.00019191953,0.005364225,0.00003488361,0.000009182982,0.0000208518,0.00006812862,0.000025455183,0.0012141488],"genre_scores_gemma":[0.99912006,0.00003456615,0.0006126652,0.0000053202984,0.0000039726647,0.0000047915046,0.000027027416,0.0000027510575,0.00018890477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982761,0.00075366796,0.00007163318,0.00021473676,0.00057051965,0.00011330885],"domain_scores_gemma":[0.9793854,0.016571121,0.001546423,0.0006688879,0.0015658316,0.00026238518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015878312,0.00033805968,0.00026382625,0.000864142,0.00021714137,0.000484241,0.00027761539,0.0003797529,0.0012054961],"category_scores_gemma":[0.011217402,0.00014508632,0.0003550688,0.00047828772,0.00053635304,0.0003166204,0.00034003347,0.0002348526,0.00022135116],"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":[0.0012327058,0.0004461915,0.8233333,0.00034936823,0.0002849605,0.0009311148,0.0028708554,0.03582869,0.022080572,0.00047954146,0.00037387045,0.11178882],"study_design_scores_gemma":[0.000009503969,0.0019948522,0.94843006,0.000037703776,0.00012249412,0.0004792608,0.0013263948,0.03859179,0.0077267424,0.0005286407,0.0007088726,0.00004362567],"about_ca_topic_score_codex":0.0037242996,"about_ca_topic_score_gemma":0.003416219,"teacher_disagreement_score":0.0037242996,"about_ca_system_score_codex":0.0003614057,"about_ca_system_score_gemma":0.00034290474,"threshold_uncertainty_score":0.0083974},"labels":[],"label_agreement":null},{"id":"W2999268378","doi":"10.1504/ijhvs.2020.104427","title":"Influence of shock absorber damping rates on the fatigue of anti-roll bars of a commercial vehicle","year":2020,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Mechanical Engineering and Vibrations Research","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":"Université de Sherbrooke; Volvo (Canada)","funders":"","keywords":"Shock absorber; Engineering; Structural engineering; Shock (circulatory); Forensic engineering; Automotive engineering; Medicine","score_opus":0.044481021040692736,"score_gpt":0.30046858833083245,"score_spread":0.2559875672901397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999268378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99870515,0.00023472891,0.0008420797,0.0000061072346,0.000004293326,0.0000045892652,0.000019841655,0.000015475127,0.00016770071],"genre_scores_gemma":[0.9992656,0.000074856944,0.00041407006,0.0000050180684,0.0000027530618,0.000003129697,0.000026971717,0.0000049124765,0.00020273768],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966955,0.00007429337,0.000025976016,0.00004858349,0.00013366138,0.000047946225],"domain_scores_gemma":[0.99807394,0.0009079089,0.00041586286,0.00011737538,0.00040740808,0.00007758927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044708437,0.00034037125,0.00023391402,0.00041548547,0.00011501329,0.00027901775,0.00018291725,0.00035585515,0.0010824611],"category_scores_gemma":[0.0017741102,0.00013104641,0.00018963874,0.00012266745,0.00013964699,0.00019513196,0.00016601551,0.00024527404,0.00024140283],"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":[0.00220813,0.0002275994,0.019780781,0.00016814987,0.00005977835,0.00018491704,0.00013282163,0.005283343,0.9461247,0.000034037137,0.000059031277,0.025736807],"study_design_scores_gemma":[0.000040306553,0.014015848,0.1725556,0.000034611814,0.00020815132,0.0003915845,0.00041108739,0.012699294,0.7984026,0.000035442106,0.0011718243,0.00003365976],"about_ca_topic_score_codex":0.0005740835,"about_ca_topic_score_gemma":0.0008725455,"teacher_disagreement_score":0.0010824611,"about_ca_system_score_codex":0.000091160364,"about_ca_system_score_gemma":0.00006680629,"threshold_uncertainty_score":0.003621161},"labels":[],"label_agreement":null},{"id":"W3045312114","doi":"10.1504/ijhvs.2020.10030667","title":"Components sizing optimisation of hybrid electric heavy duty truck using multi-objective genetic algorithm","year":2020,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Electric and Hybrid Vehicle Technologies","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":"Drivetrain; Automotive engineering; Fuel efficiency; Truck; Engineering; Sizing; Hybrid vehicle; Tractor; Torque; Power (physics)","score_opus":0.029216849858881865,"score_gpt":0.25166240948793145,"score_spread":0.22244555962904958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045312114","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47143936,0.0007599317,0.5071109,0.00015578473,0.000045300585,0.00017545474,0.00021996064,0.00038039766,0.019712867],"genre_scores_gemma":[0.93342495,0.00017345206,0.0625349,0.000026021893,0.00000536623,0.0001438709,0.00016231206,0.000033809625,0.003495371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991465,0.00002054396,0.00000365485,0.000014812621,0.000029407833,0.000016853663],"domain_scores_gemma":[0.99987173,0.00006950204,0.000017616965,0.0000069445023,0.000027016633,0.0000071508275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028205826,0.0005667547,0.0006212341,0.0005686087,0.00021667583,0.0006948837,0.00047371883,0.0005464814,0.0011831265],"category_scores_gemma":[0.00040675624,0.0003695079,0.00051941053,0.0005298475,0.00026762183,0.00028519935,0.00028662526,0.0003065571,0.00010649699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012199362,0.000012844214,0.00018508824,0.000022728073,0.000010547303,0.000020937703,0.0000082136985,0.9930019,0.0012313942,0.00037156756,0.00007894591,0.005043598],"study_design_scores_gemma":[0.0000065194718,0.00001937299,0.00016840354,0.0000021874807,0.000004876879,0.000004157162,0.0000070530227,0.99903786,0.0003780066,0.00022119746,0.00014877017,0.0000016635191],"about_ca_topic_score_codex":0.007225649,"about_ca_topic_score_gemma":0.007220835,"teacher_disagreement_score":0.007225649,"about_ca_system_score_codex":0.0006275271,"about_ca_system_score_gemma":0.0007521108,"threshold_uncertainty_score":0.014367223},"labels":[],"label_agreement":null},{"id":"W3080259933","doi":"10.1504/ijhvs.2020.10031457","title":"A comparison of test manoeuvres for determining rearward amplification of articulated heavy vehicles","year":2020,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Frequency domain; Engineering; Transient (computer programming); Time domain; Stability (learning theory); Control theory (sociology); Standardization; Steady state (chemistry); Sine wave; Automobile handling; Trailer; Domain (mathematical analysis); Automotive engineering; Simulation; Computer science; Mathematics; Artificial intelligence","score_opus":0.030450579735679245,"score_gpt":0.29216129562747883,"score_spread":0.2617107158917996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080259933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9513737,0.00016808546,0.045027133,0.00002133074,0.00002649529,0.0000915531,0.00015068449,0.0003647088,0.0027763755],"genre_scores_gemma":[0.9946154,0.000036176116,0.0049390174,0.0000033575207,0.0000013627058,0.000034420973,0.00010068625,0.000008112491,0.00026150123],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99919146,0.00022442196,0.00005855128,0.0000755979,0.00036837225,0.000081558144],"domain_scores_gemma":[0.99785537,0.0009971887,0.00017633585,0.00020010704,0.0007016534,0.000069363996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011109023,0.000518597,0.00031671397,0.0011595478,0.00023174276,0.00036245096,0.0005093276,0.0004361909,0.0006531868],"category_scores_gemma":[0.003441777,0.00015824146,0.00031906605,0.00043932858,0.00022929934,0.0004107244,0.0003525077,0.00023144356,0.00018653943],"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":[0.0041371933,0.0009891737,0.08967806,0.0010266673,0.00018260158,0.00033991094,0.0013755409,0.24738361,0.25523874,0.0020276029,0.0009548601,0.39666602],"study_design_scores_gemma":[0.00012147668,0.012703139,0.13495792,0.0000946528,0.00013726781,0.00039696394,0.0010982835,0.6460076,0.20104204,0.0006658215,0.002588335,0.0001864618],"about_ca_topic_score_codex":0.0016577999,"about_ca_topic_score_gemma":0.0016225947,"teacher_disagreement_score":0.0016577999,"about_ca_system_score_codex":0.00031708105,"about_ca_system_score_gemma":0.00029585272,"threshold_uncertainty_score":0.005875051},"labels":[],"label_agreement":null},{"id":"W4232524904","doi":"10.1504/ijhvs.2019.101498","title":"Comparative study of dynamic programming and Pontryagin's minimum principle for autonomous multi-wheeled combat vehicle path planning","year":2019,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","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":"Ontario Tech University","funders":"","keywords":"Optimal control; Dynamic programming; Pontryagin's minimum principle; Motion planning; Path (computing); Mathematical optimization; Control theory (sociology); Vehicle dynamics; Computation; Maximum principle; Engineering; Mathematics; Control (management); Computer science; Algorithm; Robot; Automotive engineering; Artificial intelligence","score_opus":0.03184075096607668,"score_gpt":0.33765560496367636,"score_spread":0.30581485399759967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232524904","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028929904,0.0012449885,0.9606939,0.0001448902,0.000030965926,0.000048884158,0.000016982465,0.00010368078,0.008785917],"genre_scores_gemma":[0.67553335,0.0018397815,0.32014468,0.000064654196,0.00004090827,0.00018679627,0.000067982066,0.000106500716,0.0020153152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938786,0.0002322578,0.000021240297,0.000070341855,0.00024793795,0.00004044651],"domain_scores_gemma":[0.9987349,0.0010005642,0.00006237358,0.000047485268,0.00013351349,0.00002118555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010394572,0.00047311798,0.00069167535,0.0007474929,0.0003662336,0.0006309472,0.0006013738,0.00067247206,0.0011913946],"category_scores_gemma":[0.0030211865,0.0002961245,0.000598464,0.00083164236,0.0006144248,0.0010374389,0.00070098165,0.0008150595,0.000106599706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049579816,0.00004059222,0.00036133555,0.00014199891,0.00003378645,0.000034128785,0.00006056829,0.88706654,0.0013448715,0.0390625,0.00030763884,0.07149648],"study_design_scores_gemma":[0.000007058307,0.00007882213,0.00021576647,0.000009504124,0.0000070534147,0.000033486853,0.000016138054,0.9896163,0.0006096717,0.008513168,0.00088571623,0.0000074171603],"about_ca_topic_score_codex":0.0019346034,"about_ca_topic_score_gemma":0.0011292272,"teacher_disagreement_score":0.0019346034,"about_ca_system_score_codex":0.0006645635,"about_ca_system_score_gemma":0.0009022712,"threshold_uncertainty_score":0.005497277},"labels":[],"label_agreement":null},{"id":"W4233580782","doi":"10.1504/ijhvs.2020.109289","title":"An investigation of the effect of elastic membrane on liquid sloshing in partially filled tank vehicles","year":2020,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Fluid Dynamics Simulations and Interactions","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":"Slosh dynamics; Computational fluid dynamics; Mechanics; Membrane; Engineering; Fluid–structure interaction; Acceleration; Structural engineering; Hydroelasticity; Reduction (mathematics); Finite element method; Chemistry; Physics; Classical mechanics","score_opus":0.009618006487229925,"score_gpt":0.241245667783624,"score_spread":0.23162766129639406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233580782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958326,0.00006661625,0.0037002468,0.000018318806,0.0000057053553,0.0000067773576,0.00001759055,0.000038603943,0.00031350635],"genre_scores_gemma":[0.9993393,0.000039967064,0.00045945516,0.000003126345,0.0000010058092,0.0000030004896,0.00001007725,0.0000021931087,0.00014200424],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985874,0.000024359158,0.0000077532895,0.000020453337,0.000049646118,0.000039035862],"domain_scores_gemma":[0.99979156,0.000082637074,0.00005586659,0.000019344354,0.000027069758,0.000023480761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013004037,0.00025994444,0.0003482955,0.00015657424,0.00027884354,0.0003618409,0.00027402223,0.0003275,0.00049143605],"category_scores_gemma":[0.00039409724,0.00014617779,0.0002643331,0.00009711466,0.0004947878,0.00027529616,0.000466259,0.00020418738,0.00008672479],"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":[0.00041044704,0.000049744795,0.0029487999,0.00009471501,0.000015446722,0.0004399588,0.00009989065,0.047707744,0.9420929,0.0002523273,0.00004688268,0.0058410103],"study_design_scores_gemma":[0.00003930863,0.0018978644,0.022269793,0.000022063101,0.000050170704,0.00028722835,0.00042690386,0.25718856,0.7165305,0.00015997203,0.0010729056,0.00005476828],"about_ca_topic_score_codex":0.0017011127,"about_ca_topic_score_gemma":0.0015232662,"teacher_disagreement_score":0.0017011127,"about_ca_system_score_codex":0.00027043378,"about_ca_system_score_gemma":0.0003469275,"threshold_uncertainty_score":0.0033824444},"labels":[],"label_agreement":null},{"id":"W4237723600","doi":"10.1504/ijhvs.2019.101463","title":"Rollover prevention for a heavy vehicle using optimised slide mode steering control","year":2019,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rollover (web design); Sprung mass; Automotive engineering; Engineering; Vehicle dynamics; Mode (computer interface); Automobile handling; Control theory (sociology); Displacement (psychology); Electronic stability control; Track (disk drive); Stability (learning theory); Toe; Control (management); Computer science; Control engineering; Damper","score_opus":0.0105050484526919,"score_gpt":0.2570881866277219,"score_spread":0.24658313817503003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237723600","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37205592,0.00028524848,0.61979985,0.00009643304,0.000037766495,0.00007394955,0.0000436069,0.0007501927,0.0068569966],"genre_scores_gemma":[0.9941301,0.000029228564,0.0051709036,0.00000719087,0.000002711404,0.000011744882,0.000012870832,0.0000046195346,0.0006307276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989057,0.0000146427965,0.000005000849,0.000023203747,0.000042311258,0.000024222007],"domain_scores_gemma":[0.9998653,0.00002237798,0.000044927983,0.000012416133,0.00004234967,0.000012588803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016080857,0.00053769466,0.00031592115,0.0002553682,0.00019159273,0.00037445777,0.00040525378,0.00027663988,0.00085985544],"category_scores_gemma":[0.00022623884,0.00018507127,0.0002989344,0.00010346811,0.00033995503,0.00023442844,0.00036348458,0.00024754918,0.00014586451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037904942,0.00007675619,0.0022589967,0.00012080235,0.00005712594,0.00023950389,0.00013249309,0.84878933,0.09071389,0.0015104112,0.00055840437,0.05516323],"study_design_scores_gemma":[0.000025384328,0.0002489087,0.0010077113,0.0000073548267,0.000018663934,0.000037238005,0.000034148317,0.99058086,0.0073735365,0.00033211688,0.000321096,0.000013006236],"about_ca_topic_score_codex":0.003425646,"about_ca_topic_score_gemma":0.0027560822,"teacher_disagreement_score":0.003425646,"about_ca_system_score_codex":0.00019542764,"about_ca_system_score_gemma":0.0003699367,"threshold_uncertainty_score":0.00681144},"labels":[],"label_agreement":null},{"id":"W4239377825","doi":"10.1504/ijhvs.2020.109285","title":"A comparison of test manoeuvres for determining rearward amplification of articulated heavy vehicles","year":2020,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","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":"Frequency domain; Engineering; Transient (computer programming); Time domain; Stability (learning theory); Control theory (sociology); Steady state (chemistry); Sine wave; Standardization; Automobile handling; Jerk; Trailer; Automotive engineering; Simulation; Computer science; Acceleration; Physics; Artificial intelligence","score_opus":0.030450579735679245,"score_gpt":0.29216129562747883,"score_spread":0.2617107158917996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239377825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9513737,0.00016808546,0.045027133,0.00002133074,0.00002649529,0.0000915531,0.00015068449,0.0003647088,0.0027763755],"genre_scores_gemma":[0.9946154,0.000036176116,0.0049390174,0.0000033575207,0.0000013627058,0.000034420973,0.00010068625,0.000008112491,0.00026150123],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99919146,0.00022442196,0.00005855128,0.0000755979,0.00036837225,0.000081558144],"domain_scores_gemma":[0.99785537,0.0009971887,0.00017633585,0.00020010704,0.0007016534,0.000069363996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011109023,0.000518597,0.00031671397,0.0011595478,0.00023174276,0.00036245096,0.0005093276,0.0004361909,0.0006531868],"category_scores_gemma":[0.003441777,0.00015824146,0.00031906605,0.00043932858,0.00022929934,0.0004107244,0.0003525077,0.00023144356,0.00018653943],"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":[0.0041371933,0.0009891737,0.08967806,0.0010266673,0.00018260158,0.00033991094,0.0013755409,0.24738361,0.25523874,0.0020276029,0.0009548601,0.39666602],"study_design_scores_gemma":[0.00012147668,0.012703139,0.13495792,0.0000946528,0.00013726781,0.00039696394,0.0010982835,0.6460076,0.20104204,0.0006658215,0.002588335,0.0001864618],"about_ca_topic_score_codex":0.0016577999,"about_ca_topic_score_gemma":0.0016225947,"teacher_disagreement_score":0.0016577999,"about_ca_system_score_codex":0.00031708105,"about_ca_system_score_gemma":0.00029585272,"threshold_uncertainty_score":0.005875051},"labels":[],"label_agreement":null},{"id":"W4239419168","doi":"10.1504/ijhvs.2020.108734","title":"Components sizing optimisation of hybrid electric heavy duty truck using multi-objective genetic algorithm","year":2020,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Electric and Hybrid Vehicle Technologies","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":"Ontario Tech University","funders":"","keywords":"Drivetrain; Automotive engineering; Fuel efficiency; Truck; Engineering; Sizing; Hybrid vehicle; Tractor; Torque; Power (physics)","score_opus":0.029216849858881865,"score_gpt":0.25166240948793145,"score_spread":0.22244555962904958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239419168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47143936,0.0007599317,0.5071109,0.00015578473,0.000045300585,0.00017545474,0.00021996064,0.00038039766,0.019712867],"genre_scores_gemma":[0.93342495,0.00017345206,0.0625349,0.000026021893,0.00000536623,0.0001438709,0.00016231206,0.000033809625,0.003495371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991465,0.00002054396,0.00000365485,0.000014812621,0.000029407833,0.000016853663],"domain_scores_gemma":[0.99987173,0.00006950204,0.000017616965,0.0000069445023,0.000027016633,0.0000071508275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028205826,0.0005667547,0.0006212341,0.0005686087,0.00021667583,0.0006948837,0.00047371883,0.0005464814,0.0011831265],"category_scores_gemma":[0.00040675624,0.0003695079,0.00051941053,0.0005298475,0.00026762183,0.00028519935,0.00028662526,0.0003065571,0.00010649699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012199362,0.000012844214,0.00018508824,0.000022728073,0.000010547303,0.000020937703,0.0000082136985,0.9930019,0.0012313942,0.00037156756,0.00007894591,0.005043598],"study_design_scores_gemma":[0.0000065194718,0.00001937299,0.00016840354,0.0000021874807,0.000004876879,0.000004157162,0.0000070530227,0.99903786,0.0003780066,0.00022119746,0.00014877017,0.0000016635191],"about_ca_topic_score_codex":0.007225649,"about_ca_topic_score_gemma":0.007220835,"teacher_disagreement_score":0.007225649,"about_ca_system_score_codex":0.0006275271,"about_ca_system_score_gemma":0.0007521108,"threshold_uncertainty_score":0.014367223},"labels":[],"label_agreement":null},{"id":"W4240602259","doi":"10.1504/ijhvs.2017.080960","title":"Optimisation and comparison of different powertrain layouts for parallel hybrid electric vehicles equipped with continuous transmission","year":2016,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Electric and Hybrid Vehicle Technologies","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 Waterloo","funders":"","keywords":"Powertrain; Continuously variable transmission; Automotive engineering; Driving cycle; Transmission (telecommunications); Electric vehicle; Engineering; Fuel efficiency; Automatic transmission; Manual transmission; Power (physics); Sensitivity (control systems); Clutch; Torque; Electronic engineering; Electrical engineering","score_opus":0.013206566849988378,"score_gpt":0.2509051419919665,"score_spread":0.23769857514197812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240602259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8791031,0.00058752554,0.10974191,0.00006151378,0.00004213463,0.00012543905,0.00031478645,0.00034224225,0.009681326],"genre_scores_gemma":[0.9815196,0.00017338408,0.016843952,0.0000051072607,0.0000031967613,0.00005318463,0.00016649046,0.000042821703,0.0011922561],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983215,0.0000451653,0.000007791166,0.00003466727,0.000046377994,0.000033848257],"domain_scores_gemma":[0.9996929,0.00015384192,0.00005335214,0.00003351538,0.000048100184,0.000018207336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036670035,0.0009427251,0.00044483368,0.0007249107,0.00021603944,0.00082492613,0.00051370304,0.00045236567,0.0018752168],"category_scores_gemma":[0.0010569934,0.00042360584,0.00054381427,0.00053314195,0.00030151822,0.0005482069,0.00031353245,0.00035524537,0.00024872308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014194529,0.00008359826,0.0014156412,0.00014421869,0.000043665867,0.000081611724,0.00004110228,0.96985316,0.009183514,0.00047419537,0.00016877364,0.018368607],"study_design_scores_gemma":[0.000093993265,0.0012817392,0.0068123057,0.000036070443,0.00012861883,0.00013468435,0.00028879606,0.9656443,0.021965133,0.0013368301,0.0022259243,0.00005148525],"about_ca_topic_score_codex":0.0022886272,"about_ca_topic_score_gemma":0.0033817915,"teacher_disagreement_score":0.0022886272,"about_ca_system_score_codex":0.000590391,"about_ca_system_score_gemma":0.00041240265,"threshold_uncertainty_score":0.0062732697},"labels":[],"label_agreement":null},{"id":"W4247609502","doi":"10.1504/ijhvs.2018.10005640","title":"On robust controllers for active steering systems of articulated heavy vehicles","year":2017,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","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":"Robustness (evolution); Linear-quadratic regulator; Control theory (sociology); Control engineering; Engineering; Nonlinear system; Robust control; Sliding mode control; Control system; Computer science; Control (management); Artificial intelligence","score_opus":0.015002668255312856,"score_gpt":0.2452329421547577,"score_spread":0.23023027389944484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247609502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038322616,0.0014204216,0.9527249,0.00007852505,0.000060237973,0.00004969242,0.000029561048,0.00030270973,0.0070114145],"genre_scores_gemma":[0.96168244,0.00085908204,0.034238767,0.000049144397,0.000053436164,0.00008053246,0.000064042295,0.000030556876,0.0029419942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996836,0.0000677574,0.000021693444,0.000050765717,0.00014847728,0.000027709],"domain_scores_gemma":[0.9990676,0.000503794,0.00014969143,0.0000619019,0.00020435957,0.000012645285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007706654,0.00068327604,0.0004273354,0.00041945273,0.00018403832,0.0006748687,0.0003906834,0.00049430394,0.0014935782],"category_scores_gemma":[0.0020588299,0.00014254327,0.0004725365,0.00025646793,0.00047777145,0.00038641598,0.00050921354,0.00049165625,0.00020896556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007757968,0.000022591297,0.00021147291,0.0002131736,0.000039136543,0.00008417333,0.00010547073,0.91690177,0.017775754,0.012071747,0.00024834165,0.0522488],"study_design_scores_gemma":[0.000008360291,0.00016851512,0.00022838179,0.000018030365,0.000011335369,0.000023601067,0.000014768382,0.9919551,0.0041071833,0.0023128577,0.0011443798,0.0000075165403],"about_ca_topic_score_codex":0.0019084276,"about_ca_topic_score_gemma":0.0009465687,"teacher_disagreement_score":0.0019084276,"about_ca_system_score_codex":0.0002535617,"about_ca_system_score_gemma":0.00031623064,"threshold_uncertainty_score":0.0049964786},"labels":[],"label_agreement":null},{"id":"W4248109384","doi":"10.1504/ijhvs.2017.087241","title":"Effect of baffle geometry and air pressure on transient fluid slosh in partially filled tanks","year":2017,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Fluid Dynamics Simulations and Interactions","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":"Concordia University","funders":"","keywords":"Baffle; Slosh dynamics; Mechanics; Computational fluid dynamics; Transient (computer programming); Acceleration; Structural engineering; Engineering; Flow (mathematics); Physics; Mechanical engineering; Classical mechanics","score_opus":0.006488317218562809,"score_gpt":0.2610069060951708,"score_spread":0.254518588876608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248109384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99739254,0.000020760624,0.0022903879,0.000009286612,0.0000033011474,0.0000031836325,0.000013811527,0.000052997435,0.00021367664],"genre_scores_gemma":[0.99977213,0.000009994091,0.00015177319,0.0000014467721,5.1487655e-7,0.0000015051669,0.0000075652183,0.0000032226067,0.000051825555],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979943,0.0000436292,0.00001028165,0.000023935483,0.000048056972,0.00007479143],"domain_scores_gemma":[0.9994344,0.00032318238,0.00009195425,0.000049138052,0.000044669505,0.00005653318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021765668,0.0003379601,0.0003852961,0.00025121745,0.00038779873,0.00061138894,0.00028370967,0.0003768451,0.0005933727],"category_scores_gemma":[0.0010598444,0.00026766752,0.00032853632,0.00014536342,0.0006668202,0.00045810235,0.000580863,0.00024242645,0.00009452587],"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":[0.0020848056,0.00013435053,0.018131373,0.0001358514,0.000040026873,0.0013352468,0.0004958924,0.4694502,0.49095818,0.00059449824,0.0001689584,0.016470589],"study_design_scores_gemma":[0.00008138231,0.0014511758,0.044105455,0.000021138245,0.00004630104,0.00026554143,0.0006931393,0.7034944,0.2487628,0.00042899785,0.0005676865,0.00008201309],"about_ca_topic_score_codex":0.002459193,"about_ca_topic_score_gemma":0.0016036364,"teacher_disagreement_score":0.002459193,"about_ca_system_score_codex":0.0003420276,"about_ca_system_score_gemma":0.0003141108,"threshold_uncertainty_score":0.0048897266},"labels":[],"label_agreement":null},{"id":"W4253688420","doi":"10.1504/ijhvs.2019.102716","title":"Analysing human effect on the reliability of mining equipment","year":2019,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Mining Techniques and Economics","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":"McGill University","funders":"","keywords":"Truck; Reliability (semiconductor); Engineering; Heavy equipment; Reliability engineering; Scheduling (production processes); Mining industry; Transport engineering; Automotive engineering; Operations management; Mining engineering","score_opus":0.013102387230971497,"score_gpt":0.25709096889884897,"score_spread":0.24398858166787749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253688420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99307114,0.00019191953,0.005364225,0.00003488361,0.000009182982,0.0000208518,0.00006812862,0.000025455183,0.0012141488],"genre_scores_gemma":[0.99912006,0.00003456615,0.0006126652,0.0000053202984,0.0000039726647,0.0000047915046,0.000027027416,0.0000027510575,0.00018890477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982761,0.00075366796,0.00007163318,0.00021473676,0.00057051965,0.00011330885],"domain_scores_gemma":[0.9793854,0.016571121,0.001546423,0.0006688879,0.0015658316,0.00026238518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015878312,0.00033805968,0.00026382625,0.000864142,0.00021714137,0.000484241,0.00027761539,0.0003797529,0.0012054961],"category_scores_gemma":[0.011217402,0.00014508632,0.0003550688,0.00047828772,0.00053635304,0.0003166204,0.00034003347,0.0002348526,0.00022135116],"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":[0.0012327058,0.0004461915,0.8233333,0.00034936823,0.0002849605,0.0009311148,0.0028708554,0.03582869,0.022080572,0.00047954146,0.00037387045,0.11178882],"study_design_scores_gemma":[0.000009503969,0.0019948522,0.94843006,0.000037703776,0.00012249412,0.0004792608,0.0013263948,0.03859179,0.0077267424,0.0005286407,0.0007088726,0.00004362567],"about_ca_topic_score_codex":0.0037242996,"about_ca_topic_score_gemma":0.003416219,"teacher_disagreement_score":0.0037242996,"about_ca_system_score_codex":0.0003614057,"about_ca_system_score_gemma":0.00034290474,"threshold_uncertainty_score":0.0083974},"labels":[],"label_agreement":null},{"id":"W4253708577","doi":"10.1504/ijhvs.2017.084851","title":"Experimental validation of the U<SUP align=\"right\">*</SUP> index theory for load transfer analysis","year":2017,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Mechanical Engineering and Vibrations Research","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":"University of Manitoba","funders":"","keywords":"Transfer (computing); Index (typography); Physics; Atomic physics; Computer science","score_opus":0.018986587671824616,"score_gpt":0.29150795033218035,"score_spread":0.27252136266035576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253708577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8801859,0.00040819566,0.10507823,0.00024734315,0.0003543257,0.00057220645,0.00060167565,0.000691215,0.011860873],"genre_scores_gemma":[0.95262843,0.00021457738,0.04197441,0.00006464291,0.000026219397,0.0004101969,0.00018892194,0.00010059898,0.0043919277],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980585,0.00025335094,0.00013026112,0.0003069443,0.0010458638,0.0002051049],"domain_scores_gemma":[0.99615127,0.0012661427,0.0003705153,0.0008680985,0.0011511453,0.0001927641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017408702,0.0009486253,0.0003479769,0.00063172734,0.0007289161,0.00066276215,0.0012062582,0.0012526952,0.006907442],"category_scores_gemma":[0.0032538984,0.00036463438,0.00031959245,0.00039202775,0.0014519617,0.0007891982,0.00093286927,0.00073886843,0.0011928236],"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":[0.00036321278,0.0007283808,0.0011427009,0.0002486244,0.00000911955,0.00016715941,0.00033131684,0.004277314,0.97048295,0.0018167621,0.00059228716,0.019840067],"study_design_scores_gemma":[0.00003364818,0.003083374,0.0038207865,0.000031562005,0.000013260041,0.00009150169,0.0002583698,0.014603097,0.9745473,0.000457017,0.0030245567,0.00003545151],"about_ca_topic_score_codex":0.00068745465,"about_ca_topic_score_gemma":0.0010786986,"teacher_disagreement_score":0.006907442,"about_ca_system_score_codex":0.0004140123,"about_ca_system_score_gemma":0.00065430894,"threshold_uncertainty_score":0.023107648},"labels":[],"label_agreement":null},{"id":"W4293381933","doi":"10.1504/ijhvs.2022.10050282","title":"Linear-control vs. ADRC for automatic management of the handling-comfort contradiction of a quarter-car system","year":2022,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Engine and Fuel Emissions","field":"Engineering","cited_by":2,"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":"Quarter (Canadian coin); Engineering; Contradiction; Control (management); Automotive engineering; Automatic control; Aeronautics; Control engineering; Computer science; Artificial intelligence","score_opus":0.007106422272429493,"score_gpt":0.22082586100738857,"score_spread":0.21371943873495908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293381933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5178962,0.0013850046,0.43804762,0.0007251844,0.000348686,0.00015974336,0.00012753997,0.0024127164,0.038897395],"genre_scores_gemma":[0.9975649,0.000025701438,0.0017088773,0.000024876716,0.000009109653,0.0000053091712,0.0000070186,0.000006499488,0.00064759736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953365,0.00012507533,0.000036764188,0.00008568881,0.000083398736,0.00013533169],"domain_scores_gemma":[0.99933535,0.00028152042,0.00007037741,0.000057683174,0.00022002669,0.00003503847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083327206,0.0004433163,0.0003931181,0.00031974268,0.0004892831,0.0009919159,0.0004024653,0.00040046428,0.0042422498],"category_scores_gemma":[0.0009413662,0.00012657797,0.00022155007,0.00019253897,0.00041638513,0.0004124801,0.00045080562,0.00046159467,0.0003986548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0058893603,0.00060055114,0.0043213447,0.00080858165,0.00016350561,0.00035883812,0.0004218741,0.61245245,0.077159695,0.013195036,0.003101405,0.2815274],"study_design_scores_gemma":[0.00007791473,0.0007801329,0.0015082639,0.000020311805,0.00005540574,0.000059307593,0.000087241715,0.9858425,0.009818707,0.00084992097,0.00088198116,0.000018220673],"about_ca_topic_score_codex":0.0069634626,"about_ca_topic_score_gemma":0.0056440677,"teacher_disagreement_score":0.0069634626,"about_ca_system_score_codex":0.00039169806,"about_ca_system_score_gemma":0.0005293132,"threshold_uncertainty_score":0.014191687},"labels":[],"label_agreement":null},{"id":"W4319436373","doi":"10.1504/ijhvs.2022.10054035","title":"A coordinated control system for truck cabin suspension based on model predictive control","year":2022,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Truck; Suspension (topology); Engineering; Model predictive control; Automotive engineering; Control (management); Aeronautics; Air suspension; Structural engineering; Computer science","score_opus":0.009896369379709976,"score_gpt":0.2192988355977298,"score_spread":0.20940246621801983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319436373","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07506503,0.00040181255,0.9050381,0.0001890549,0.0002497096,0.00013585477,0.000114629445,0.0035889132,0.015216964],"genre_scores_gemma":[0.9848903,0.000081295955,0.012144054,0.000029967377,0.000022542821,0.00008431654,0.0000825379,0.000020730831,0.0026443219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997502,0.000031963773,0.000011033529,0.00007748512,0.00009027881,0.00003887315],"domain_scores_gemma":[0.99981326,0.000027676355,0.000033934073,0.000020398935,0.00008778115,0.00001705286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024489083,0.0005559455,0.0004901338,0.00032067197,0.00053263095,0.00080975244,0.0006708407,0.00039323617,0.002308648],"category_scores_gemma":[0.0003887433,0.00017455914,0.000319248,0.0002583668,0.0003342614,0.00031600037,0.00066194625,0.0005039513,0.0005067161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005253314,0.00017526912,0.001365955,0.00028656804,0.000071415125,0.00036533398,0.00028049637,0.77540886,0.048553422,0.0070809186,0.003978643,0.16190785],"study_design_scores_gemma":[0.000044121756,0.00023920405,0.0005564595,0.000010165497,0.000022771794,0.00003589329,0.000022352442,0.9919694,0.0040335977,0.0005490104,0.0025031376,0.000014002522],"about_ca_topic_score_codex":0.009211728,"about_ca_topic_score_gemma":0.006178272,"teacher_disagreement_score":0.009211728,"about_ca_system_score_codex":0.00035199473,"about_ca_system_score_gemma":0.00091797183,"threshold_uncertainty_score":0.01831621},"labels":[],"label_agreement":null},{"id":"W4320157970","doi":"10.1504/ijhvs.2022.128920","title":"A coordinated control system for truck cabin suspension based on model predictive control","year":2022,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vibration Control and Rheological Fluids","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":"University of Waterloo","funders":"","keywords":"Skyhook; Truck; Suspension (topology); Engineering; Model predictive control; Chassis; Automotive engineering; MATLAB; Benchmark (surveying); Vibration; Air suspension; Control theory (sociology); Control (management); Control engineering; Computer science; Structural engineering; Damper; Magnetorheological fluid","score_opus":0.009049489322970878,"score_gpt":0.21881803204324016,"score_spread":0.2097685427202693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320157970","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07841958,0.00039265412,0.90269524,0.0001865872,0.00024379554,0.00013363048,0.00010890035,0.0034296834,0.014389955],"genre_scores_gemma":[0.9853491,0.000076103024,0.011851231,0.00002818289,0.000021415053,0.0000800388,0.000075080876,0.000019372495,0.0024994721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975973,0.000031099262,0.000010647647,0.000074975425,0.00008633751,0.000037316622],"domain_scores_gemma":[0.99981874,0.000027710736,0.00003287444,0.000019889863,0.00008389653,0.000016834874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024239527,0.00054314133,0.00047789418,0.00031271717,0.0005146879,0.00077769725,0.00065123907,0.00038514883,0.0022958312],"category_scores_gemma":[0.00038407475,0.00017114264,0.00031045685,0.00024467937,0.0003308822,0.0003043355,0.000646183,0.00048889895,0.00048972195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054426375,0.0001783654,0.0013861118,0.00028094463,0.000071309594,0.0003587197,0.00027868227,0.76838785,0.051301427,0.0069029243,0.003782036,0.16652727],"study_design_scores_gemma":[0.00004293062,0.00024294498,0.0005507485,0.000009866813,0.000021845874,0.000034071963,0.000021720958,0.99210185,0.004064057,0.00053537305,0.0023608827,0.000013689782],"about_ca_topic_score_codex":0.008562345,"about_ca_topic_score_gemma":0.005748025,"teacher_disagreement_score":0.008562345,"about_ca_system_score_codex":0.00033845566,"about_ca_system_score_gemma":0.00087525416,"threshold_uncertainty_score":0.017025054},"labels":[],"label_agreement":null},{"id":"W4386004915","doi":"10.1504/ijhvs.2023.10058546","title":"Lateral stability control of truck and centre-axle-trailer combinations under crosswind disturbances","year":2023,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Aerodynamics and Fluid Dynamics Research","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":"Crosswind; Trailer; Truck; Axle; Articulated vehicle; Engineering; Automotive engineering; Electronic stability control; Automobile handling; Structural engineering; Aerospace engineering","score_opus":0.013814656874080324,"score_gpt":0.2609885518076628,"score_spread":0.24717389493358247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386004915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77398914,0.000102591264,0.2196318,0.000048615886,0.00003270369,0.00003886431,0.000046019162,0.0003082448,0.0058021448],"genre_scores_gemma":[0.99884003,0.000009808502,0.0008492029,0.0000020517725,0.0000010388519,0.000005036841,0.00000831395,0.0000017670607,0.00028268373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990606,0.00001046295,0.000005208161,0.000021024347,0.000029137242,0.000028158247],"domain_scores_gemma":[0.9998431,0.000022246346,0.000052448082,0.000012332448,0.000048527323,0.000021354232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017957625,0.0003170871,0.000202351,0.00020420372,0.0003242361,0.00033171254,0.00028247756,0.00016700226,0.00061878853],"category_scores_gemma":[0.00023245376,0.00012823334,0.00023530558,0.00009158365,0.00022128955,0.00018214069,0.00045081123,0.00015850512,0.00012376258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008403447,0.000107719636,0.005263904,0.00013414917,0.000044441134,0.0003369796,0.00031571617,0.777116,0.16401437,0.0022585725,0.0004805954,0.04908711],"study_design_scores_gemma":[0.000017280607,0.00016217172,0.0013924147,0.000003319142,0.000008485578,0.00001770622,0.000043457527,0.9898425,0.007973223,0.00024405602,0.00028902266,0.0000063474927],"about_ca_topic_score_codex":0.0036558877,"about_ca_topic_score_gemma":0.0034610925,"teacher_disagreement_score":0.0036558877,"about_ca_system_score_codex":0.00018930597,"about_ca_system_score_gemma":0.00033592273,"threshold_uncertainty_score":0.0072692037},"labels":[],"label_agreement":null},{"id":"W4386144716","doi":"10.1504/ijhvs.2023.132995","title":"Effect of truck tyre tread design on tyre-terrain interaction using advanced computational techniques","year":2023,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Soil Mechanics and Vehicle 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":"Tread; Truck; Engineering; Automotive engineering; Terrain; Forensic engineering; Materials science","score_opus":0.018555547268174044,"score_gpt":0.3088077978956668,"score_spread":0.29025225062749277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386144716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97650415,0.00008215541,0.021354157,0.00002459335,0.000009266145,0.000016305328,0.000047528498,0.000100411926,0.0018613671],"genre_scores_gemma":[0.99574834,0.000032250377,0.0039694738,0.0000030622946,9.883196e-7,0.0000055626574,0.000023054265,0.000015097858,0.00020218232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978346,0.0000632169,0.000015103657,0.000024636498,0.000068032634,0.000045498527],"domain_scores_gemma":[0.9992199,0.00046674247,0.00009620598,0.0000841307,0.000093140356,0.0000398753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030018302,0.00030770287,0.0003715462,0.0003376812,0.00024467634,0.0005730194,0.00033758717,0.00035223705,0.00095335685],"category_scores_gemma":[0.001479268,0.00021419632,0.00025445098,0.00031835417,0.00024872474,0.00027216942,0.00038130884,0.00023959044,0.00012950184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003694167,0.00015508407,0.012563834,0.00011482084,0.00003562551,0.00024967588,0.00012653283,0.89030635,0.06770634,0.00048775473,0.00018869867,0.027695907],"study_design_scores_gemma":[0.000019998624,0.00035235763,0.0074004238,0.000007922258,0.000030572268,0.00007363277,0.000096268974,0.97528434,0.015948622,0.00011723326,0.0006524112,0.000016315817],"about_ca_topic_score_codex":0.0023398497,"about_ca_topic_score_gemma":0.0032797218,"teacher_disagreement_score":0.0023398497,"about_ca_system_score_codex":0.00021617027,"about_ca_system_score_gemma":0.0003943485,"threshold_uncertainty_score":0.0046524405},"labels":[],"label_agreement":null},{"id":"W4387788379","doi":"10.1504/ijhvs.2023.134317","title":"Impact of super single truck tyres on tyre-terrain interaction characteristics","year":2023,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Soil Mechanics and Vehicle 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":"Truck; Terrain; Engineering; Civil engineering; Transport engineering; Automotive engineering; Forensic engineering; Geotechnical engineering; Marine engineering; Geography; Cartography","score_opus":0.020217377517101114,"score_gpt":0.2875757605523563,"score_spread":0.26735838303525516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387788379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99638015,0.000034954614,0.0025192313,0.000010188238,0.0000055132873,0.0000056399963,0.00006359572,0.000038352886,0.0009424777],"genre_scores_gemma":[0.999485,0.00001605006,0.00023058752,0.0000016515894,5.808965e-7,0.0000017759147,0.000033685115,0.000008212561,0.0002224365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964833,0.000054860157,0.000016187674,0.00007008154,0.00010907207,0.00010152973],"domain_scores_gemma":[0.9990995,0.000452306,0.00013249139,0.000107167674,0.00012418324,0.00008444819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033831774,0.00045090963,0.0005882347,0.0004367216,0.00041616333,0.000814745,0.00035181004,0.0004706328,0.0022780923],"category_scores_gemma":[0.001165481,0.00032141263,0.00039975063,0.00035304963,0.00046822184,0.00041518398,0.00073077984,0.00032447296,0.00031115467],"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":[0.001230355,0.0002076564,0.07981782,0.00021948745,0.00011199808,0.0022629844,0.0002363627,0.6907245,0.1956021,0.00046385004,0.0004297733,0.028693156],"study_design_scores_gemma":[0.000046248708,0.0016499932,0.14049894,0.000027819642,0.00012983914,0.0010212265,0.001043164,0.76322544,0.09019831,0.00036746383,0.0017048896,0.00008672675],"about_ca_topic_score_codex":0.0028300646,"about_ca_topic_score_gemma":0.0042054597,"teacher_disagreement_score":0.0028300646,"about_ca_system_score_codex":0.00024462526,"about_ca_system_score_gemma":0.00028537997,"threshold_uncertainty_score":0.0076209903},"labels":[],"label_agreement":null},{"id":"W611891862","doi":"","title":"Effect of load–distributing devices on the stability of heavy vehicles","year":2014,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Rollover (web design); Tractor; Truck; Trailer; Automotive engineering; Engineering; Stability (learning theory); Articulated vehicle; Mechanism (biology); Mathematical model; Simulation; Computer science; Mathematics","score_opus":0.006722496618590275,"score_gpt":0.22691822129719133,"score_spread":0.22019572467860105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W611891862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92418516,0.00027323532,0.06479451,0.00014145147,0.000056520916,0.00006348045,0.000065097745,0.00018677597,0.010233762],"genre_scores_gemma":[0.9983386,0.000048579364,0.0007842197,0.0000051276456,0.0000033518288,0.000007757369,0.000006668184,0.00000621651,0.00079949485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997372,0.00009189654,0.000010936963,0.000038770984,0.00007398065,0.000047185065],"domain_scores_gemma":[0.999046,0.0006181028,0.00014025529,0.00007548461,0.000079087804,0.00004097293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045018876,0.0005493624,0.0004186847,0.0004715887,0.0005845279,0.0010408028,0.00040456362,0.0007827321,0.0018276942],"category_scores_gemma":[0.0019274151,0.00034802844,0.00051750644,0.00014901713,0.0010889564,0.00064466306,0.00068804325,0.0004206398,0.0002496775],"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":[0.0007016942,0.0000976084,0.0027269125,0.00009452287,0.000030281188,0.00040472316,0.00013841248,0.9349725,0.04859647,0.0039140647,0.0001810805,0.008141756],"study_design_scores_gemma":[0.00002261778,0.00033619662,0.0014665432,0.000010722242,0.00002441047,0.000041897405,0.00004458922,0.9803444,0.016785275,0.0005461717,0.0003558692,0.000021349993],"about_ca_topic_score_codex":0.0019606452,"about_ca_topic_score_gemma":0.00072498084,"teacher_disagreement_score":0.0019606452,"about_ca_system_score_codex":0.0005527531,"about_ca_system_score_gemma":0.0002980849,"threshold_uncertainty_score":0.0061142445},"labels":[],"label_agreement":null},{"id":"W641219982","doi":"10.1504/ijhvs.1997.054598","title":"STUDY OF CONTROL CHARACTERISTICS OF AN ARTICULATED VEHICLE DRIVER.","year":2014,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Vehicle Dynamics and Control Systems","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":"","keywords":"Articulated vehicle; Engineering; Tractor; Acceleration; Axle; Sensitivity (control systems); Simulation; Automotive engineering; Orientation (vector space); Range (aeronautics); Steering wheel; Control theory (sociology); Control (management); Computer science; Artificial intelligence","score_opus":0.005615386371290574,"score_gpt":0.22013516509182438,"score_spread":0.2145197787205338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W641219982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7504756,0.0002198472,0.24324127,0.000103238424,0.000020775637,0.00007162138,0.000116962925,0.00010842916,0.005642268],"genre_scores_gemma":[0.9978631,0.000039628587,0.0013177552,0.0000050192134,0.0000025933048,0.000014235957,0.00005834499,0.0000033708334,0.0006960266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998627,0.000028759041,0.0000069679963,0.000029582385,0.000050440296,0.000021596607],"domain_scores_gemma":[0.9991603,0.00044868718,0.00013198626,0.00004722859,0.00017718907,0.000034590954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003114791,0.000314224,0.00026817483,0.00022834857,0.00015500527,0.00031854663,0.0002531407,0.00039267857,0.0010637298],"category_scores_gemma":[0.001674326,0.000106233376,0.00022423884,0.00009670878,0.00015438428,0.0002869137,0.00021254296,0.00028114946,0.00017189035],"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":[0.00049581524,0.000248733,0.029110888,0.00029044857,0.00013558866,0.0008768697,0.0006680945,0.83478427,0.08426994,0.0064671026,0.0008055131,0.04184665],"study_design_scores_gemma":[0.0000063064235,0.0002283297,0.0053432677,0.0000046311325,0.0000089205805,0.000094425064,0.000068497146,0.9903273,0.0031527204,0.0003158791,0.00043851722,0.000011204953],"about_ca_topic_score_codex":0.0033933,"about_ca_topic_score_gemma":0.0021145933,"teacher_disagreement_score":0.0033933,"about_ca_system_score_codex":0.00018362833,"about_ca_system_score_gemma":0.000278517,"threshold_uncertainty_score":0.006747067},"labels":[],"label_agreement":null},{"id":"W648617424","doi":"","title":"PATH TRACKING, OBSTACLE AVOIDANCE AND DEAD RECKONING BY AN AUTONOMOUS PLANETARY ROVER","year":2014,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","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":"Carleton University","funders":"","keywords":"Dead reckoning; Obstacle avoidance; Computer vision; Odometry; Trajectory; Inertial measurement unit; Sensor fusion; Articulated vehicle; Obstacle; Computer science; Artificial intelligence; Collision avoidance; Path (computing); Engineering; Mobile robot; Global Positioning System; Aerospace engineering; Robot; Geography; Collision","score_opus":0.013556724493490286,"score_gpt":0.25101995372803015,"score_spread":0.23746322923453986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W648617424","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08834575,0.00022548315,0.9085695,0.00007541684,0.000028706552,0.000030453522,0.000016600776,0.0005249324,0.0021831207],"genre_scores_gemma":[0.6787809,0.00018918929,0.31840286,0.00003807419,0.000017374145,0.000060180588,0.000059726386,0.000042155625,0.0024095401],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998841,0.000020881973,0.000005109472,0.000028872222,0.00004921204,0.00001179151],"domain_scores_gemma":[0.9998461,0.00004813187,0.00002693968,0.000029268278,0.000035321325,0.000014264628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018255608,0.00038462508,0.00030652556,0.0002741189,0.00037244093,0.0003452499,0.00042412203,0.00046111728,0.00042918554],"category_scores_gemma":[0.0005390191,0.00023400951,0.00019825224,0.00022241913,0.0004458448,0.0004305764,0.00046329157,0.0004067617,0.0001547976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022166618,0.000062081344,0.0017664765,0.00008972589,0.00006197091,0.00023722564,0.00026003513,0.55697846,0.06435916,0.0123038,0.0011074535,0.36255196],"study_design_scores_gemma":[0.000022072854,0.00021010556,0.0010770585,0.000008483379,0.000019296695,0.0002168354,0.00004378861,0.97203326,0.01589614,0.005785722,0.0046682577,0.000018952323],"about_ca_topic_score_codex":0.0020126519,"about_ca_topic_score_gemma":0.0015828921,"teacher_disagreement_score":0.0020126519,"about_ca_system_score_codex":0.00014682277,"about_ca_system_score_gemma":0.00038242768,"threshold_uncertainty_score":0.0040019155},"labels":[],"label_agreement":null}]}