{"meta":{"query_hash":"069b72d88d68","filters":{"venue":"Archives of Advanced Engineering Science"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"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/069b72d88d68","api":"https://metacan.xera.ac/api/v1/cohort?venue=Archives+of+Advanced+Engineering+Science"},"results":[{"id":"W4385729047","doi":"10.47852/bonviewaaes32021329","title":"Tire Wear and Pollutants: An Overview of Research","year":2023,"lang":"en","type":"article","venue":"Archives of Advanced Engineering Science","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":31,"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":"Natural rubber; Microplastics; Materials science; Environmental science; Automotive engineering; Forensic engineering; Composite material; Engineering","score_opus":0.042877282387636904,"score_gpt":0.3408073105638372,"score_spread":0.2979300281762003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385729047","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007329301,0.99640733,0.0005437812,0.00044984804,0.00020629248,0.000009838415,0.000067210865,0.000014410636,0.0015683207],"genre_scores_gemma":[0.0035757604,0.9943498,0.0006940352,0.0001971061,0.00030376762,0.0000136533545,0.00009572566,0.000004765264,0.00076543406],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930024,0.00010702475,0.00010318504,0.00020557993,0.00022335739,0.00006056473],"domain_scores_gemma":[0.9987016,0.000710211,0.00013885048,0.00003341806,0.0003708655,0.000045161494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010281682,0.0010684513,0.0014213292,0.0046495497,0.00050653087,0.002276124,0.0008610455,0.0016901377,0.0037312664],"category_scores_gemma":[0.0012929338,0.0005406276,0.00123618,0.0040483256,0.00054283754,0.0022822502,0.0007688895,0.001163147,0.0013543564],"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":[0.00018318788,0.000236544,0.0039319536,0.03793277,0.00026056368,0.0002791439,0.00039388298,0.0011205507,0.0028924614,0.0060465555,0.01687374,0.9298486],"study_design_scores_gemma":[0.000012516141,0.0005620288,0.011656585,0.021009084,0.0007089001,0.002492738,0.0010135943,0.00077611615,0.0028111115,0.0068576224,0.95198053,0.000119066004],"about_ca_topic_score_codex":0.0053937663,"about_ca_topic_score_gemma":0.0046226853,"teacher_disagreement_score":0.0053937663,"about_ca_system_score_codex":0.0012050765,"about_ca_system_score_gemma":0.0023080725,"threshold_uncertainty_score":0.012482405},"labels":[],"label_agreement":null},{"id":"W4387817937","doi":"10.47852/bonviewaaes32021471","title":"Machine Learning Insights into Hypersonics Research Evolution: A 21st Century Perspective","year":2023,"lang":"en","type":"article","venue":"Archives of Advanced Engineering Science","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","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":"Defence Research and Development Canada; National Research Council Canada","funders":"","keywords":"Data science; Field (mathematics); Computer science; Management science; Engineering","score_opus":0.012927668261380762,"score_gpt":0.28796640287966624,"score_spread":0.2750387346182855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387817937","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10652268,0.2830292,0.105169214,0.40239578,0.0026913034,0.00017527865,0.004835583,0.0006172869,0.094563685],"genre_scores_gemma":[0.72788066,0.15938742,0.077666104,0.01735827,0.0078011993,0.0002492438,0.0032738636,0.0002890314,0.006094234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9941095,0.0027260568,0.0005318194,0.00085282716,0.0013906702,0.00038907368],"domain_scores_gemma":[0.9349207,0.047061205,0.006942931,0.0029231124,0.0060936376,0.0020583852],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.016310357,0.00058727566,0.0007476143,0.02509593,0.0018376312,0.01145833,0.0018101471,0.0020171537,0.0035137867],"category_scores_gemma":[0.038398206,0.00036644927,0.00060618547,0.03074011,0.007384855,0.015672848,0.0037148849,0.0029612798,0.00080217683],"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":[0.00010362348,0.00014286245,0.05617891,0.0026821003,0.00022480759,0.00065663044,0.012277792,0.0057310406,0.0011411958,0.5433433,0.027684346,0.3498333],"study_design_scores_gemma":[0.000017775888,0.00007175136,0.041793548,0.0032746291,0.00005949707,0.00060689263,0.013075667,0.01586005,0.00070504117,0.60846883,0.31596538,0.00010088741],"about_ca_topic_score_codex":0.0053728153,"about_ca_topic_score_gemma":0.0074118106,"teacher_disagreement_score":0.98368967,"about_ca_system_score_codex":0.0042512068,"about_ca_system_score_gemma":0.0051877587,"threshold_uncertainty_score":0.08625841},"labels":[],"label_agreement":null},{"id":"W4392963434","doi":"10.47852/bonviewaaes42022009","title":"A Digital Twin Development Framework for an Electrical Submersible Pump (ESP)","year":2024,"lang":"en","type":"article","venue":"Archives of Advanced Engineering Science","topic":"Electric Motor Design and Analysis","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":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Multiphysics; Stator; Transient (computer programming); Rotor (electric); Heat transfer; Predictive maintenance; Time domain; Mechanical engineering; Engineering; Computer science; Mechanics; Reliability engineering; Structural engineering; Finite element method; Physics","score_opus":0.007580810579944385,"score_gpt":0.23116060129819943,"score_spread":0.22357979071825504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392963434","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":[0.0069625904,0.00018832496,0.9781108,0.0001534745,0.00007348212,0.00025691162,0.0005182022,0.007411173,0.0063251415],"genre_scores_gemma":[0.13763109,0.0005454739,0.8493347,0.00015228725,0.00003898235,0.00080652616,0.0021505097,0.0017040203,0.007636405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922955,0.00017044327,0.00007133574,0.000121788704,0.0003307559,0.00007611732],"domain_scores_gemma":[0.9990115,0.00033124935,0.00010230768,0.0002151443,0.00026302325,0.000076681485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019269264,0.00091404875,0.0003901662,0.00069320266,0.0003973568,0.0011543718,0.0019053784,0.000824512,0.008620608],"category_scores_gemma":[0.0033402597,0.0004405811,0.0010570512,0.00030681645,0.00060322625,0.0011902234,0.0016841784,0.0011169183,0.002195629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050833466,0.00028132997,0.0073357327,0.0011821468,0.0001244336,0.0013120461,0.0008932865,0.42989212,0.04685202,0.17549258,0.022721658,0.3134043],"study_design_scores_gemma":[0.00011473593,0.00034911733,0.0011442986,0.00016554684,0.00008082001,0.00060864154,0.00010565616,0.77476096,0.021710033,0.02458527,0.17629544,0.00007954031],"about_ca_topic_score_codex":0.0029906742,"about_ca_topic_score_gemma":0.0035093736,"teacher_disagreement_score":0.008620608,"about_ca_system_score_codex":0.0005258439,"about_ca_system_score_gemma":0.0020448607,"threshold_uncertainty_score":0.028838873},"labels":[],"label_agreement":null},{"id":"W4394958701","doi":"10.47852/bonviewaaes42022765","title":"Using SMART Method for Multi-criteria Decision Making: Applications, Advantages, and Limitations","year":2024,"lang":"en","type":"article","venue":"Archives of Advanced Engineering Science","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","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 Canada West","funders":"","keywords":"Computer science; Risk analysis (engineering); Business","score_opus":0.16807156742400034,"score_gpt":0.48596069073795467,"score_spread":0.31788912331395436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394958701","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":[0.0063200393,0.0021929152,0.9788558,0.0016949737,0.00027654966,0.000600953,0.0002758506,0.00044879495,0.0093341125],"genre_scores_gemma":[0.07389925,0.0016386494,0.920944,0.0004303062,0.00010387186,0.0010217881,0.00022761256,0.0001194122,0.0016151487],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9579064,0.028917156,0.0023870382,0.0021310234,0.008178254,0.00048007257],"domain_scores_gemma":[0.94062644,0.045568723,0.002571951,0.0036130985,0.007005918,0.000613868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03190523,0.0017508409,0.0023472456,0.0044915113,0.0018072288,0.005382326,0.0025912826,0.0018835219,0.00991126],"category_scores_gemma":[0.04602737,0.0009113529,0.0032284246,0.0070346114,0.0027439084,0.004014836,0.0034759822,0.003793302,0.0017381163],"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":[0.00055076944,0.0002411999,0.008035095,0.0055784,0.00082835415,0.0005521621,0.0033267054,0.07717061,0.003376386,0.18903579,0.013446144,0.69785833],"study_design_scores_gemma":[0.00025081733,0.00059849216,0.004259877,0.003073773,0.00035896947,0.0008615892,0.0024327273,0.52547514,0.005266003,0.3363488,0.120704114,0.00036961935],"about_ca_topic_score_codex":0.0032398691,"about_ca_topic_score_gemma":0.0062487754,"teacher_disagreement_score":0.03190523,"about_ca_system_score_codex":0.0022956906,"about_ca_system_score_gemma":0.0060687577,"threshold_uncertainty_score":0.168733},"labels":[],"label_agreement":null},{"id":"W4402245056","doi":"10.47852/bonviewaaes42023106","title":"Analysis of the Effects of Wheel Spacers on the Roll Stability of the Vehicle","year":2024,"lang":"en","type":"article","venue":"Archives of Advanced Engineering Science","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":"Ontario Tech University","funders":"","keywords":"Stability (learning theory); Automotive engineering; Materials science; Engineering; Computer science","score_opus":0.002139383735326912,"score_gpt":0.17689607614589936,"score_spread":0.17475669241057246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402245056","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":[0.98613924,0.00017930305,0.011335744,0.00003734105,0.000022773638,0.00001813252,0.00018850892,0.000105804334,0.0019731359],"genre_scores_gemma":[0.998572,0.000060657887,0.00090753246,0.0000025012657,0.0000018151477,0.000004819004,0.0000680674,0.0000108781405,0.00037171936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999782,0.00003466266,0.000009367556,0.000034186047,0.00009406988,0.000045639616],"domain_scores_gemma":[0.99926966,0.00036637363,0.00011164967,0.00005999034,0.0001633407,0.000029080038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033082668,0.0004137411,0.0003612391,0.000627662,0.0002747128,0.0006147341,0.00026732832,0.0003649049,0.0018093375],"category_scores_gemma":[0.001499515,0.00025434524,0.0005427284,0.00024360999,0.00024001663,0.00035677842,0.00033878125,0.00023509815,0.00027300155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012460557,0.00016066206,0.029018348,0.00044032975,0.0001318686,0.00048651177,0.00020899161,0.7772454,0.14099519,0.0010342516,0.00057796744,0.04845448],"study_design_scores_gemma":[0.000021470662,0.0010335267,0.040189836,0.000040426923,0.0001397222,0.00013544662,0.00030173833,0.88048947,0.07607781,0.0003343384,0.0011846409,0.000051637147],"about_ca_topic_score_codex":0.0060299854,"about_ca_topic_score_gemma":0.00441147,"teacher_disagreement_score":0.0060299854,"about_ca_system_score_codex":0.00049505464,"about_ca_system_score_gemma":0.00046232983,"threshold_uncertainty_score":0.011989772},"labels":[],"label_agreement":null},{"id":"W4403594251","doi":"10.47852/bonviewaaes42023902","title":"Unveiling Weak Signals of Emergence in Underwater Sensing Research Trends","year":2024,"lang":"en","type":"article","venue":"Archives of Advanced Engineering Science","topic":"Complex Systems and Decision Making","field":"Decision Sciences","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":"Defence Research and Development Canada; National Research Council Canada","funders":"","keywords":"Underwater; Geography; Remote sensing; Archaeology","score_opus":0.12537371336303385,"score_gpt":0.43681542485037456,"score_spread":0.3114417114873407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403594251","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":[0.6024463,0.04017415,0.2362613,0.05344817,0.0031656486,0.0012763636,0.01075794,0.000892215,0.051577967],"genre_scores_gemma":[0.8588684,0.015191275,0.1086814,0.0022101696,0.0014119196,0.0010468856,0.004631502,0.00033921035,0.0076193437],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.992653,0.0027592971,0.0010641016,0.0012291409,0.0018791846,0.00041537825],"domain_scores_gemma":[0.89408916,0.07708073,0.011554912,0.0033893937,0.0127305165,0.0011553395],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.017315974,0.0005492184,0.0006208399,0.017886091,0.001840446,0.008564191,0.00091413106,0.0013322948,0.0029271229],"category_scores_gemma":[0.060758,0.0004211943,0.0007913461,0.013549289,0.0031763704,0.00860503,0.0033181566,0.0015818661,0.0010017095],"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":[0.00059050985,0.000118608434,0.16188526,0.012950427,0.00037959963,0.0035018816,0.12213905,0.0031700544,0.02402508,0.106924556,0.031434357,0.53288054],"study_design_scores_gemma":[0.000055563247,0.00027753264,0.2483097,0.009727616,0.0006995172,0.0020073687,0.17644939,0.026730618,0.018340876,0.127312,0.38972878,0.0003610472],"about_ca_topic_score_codex":0.0020223141,"about_ca_topic_score_gemma":0.0039988346,"teacher_disagreement_score":0.9821139,"about_ca_system_score_codex":0.0020896143,"about_ca_system_score_gemma":0.0042726505,"threshold_uncertainty_score":0.091576695},"labels":[],"label_agreement":null}]}