{"meta":{"query_hash":"e29f2b457bbb","filters":{"venue":"Journal of Engineering Science and Technology Review"},"cohort_total":26,"direct_labels_cover":0,"predictions_cover":26,"exported":26,"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/e29f2b457bbb","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Engineering+Science+and+Technology+Review"},"results":[{"id":"W2186814183","doi":"10.25103/jestr.074.24","title":"Hydraulic System Design of Hydraulic Actuators for Large Butterfly Valves","year":2014,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Hydraulic and Pneumatic 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":"University of Windsor","funders":"","keywords":"Bandwidth throttling; Hydraulic motor; Hydraulic cylinder; Hydraulic machinery; Electrohydraulic servo valve; Hydraulic pump; Hydraulic circuit; Butterfly valve; Engineering; Variable displacement pump; Electro-hydraulic actuator; Control theory (sociology); Valve actuator; Fluid power; Control valves; Telescopic cylinder; Actuator; Control engineering; Mechanical engineering; Computer science; Gas compressor; Electrical engineering","score_opus":0.01092462349643478,"score_gpt":0.22936990057555595,"score_spread":0.21844527707912118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186814183","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":[0.042639177,0.004495027,0.9292434,0.00036017376,0.00031566093,0.00024032821,0.000102142985,0.0011598256,0.021444354],"genre_scores_gemma":[0.77971625,0.0032384463,0.19935296,0.00013905538,0.00015017671,0.00023383775,0.00013066769,0.000052245323,0.016986208],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979407,0.000025918423,0.000014029439,0.00005048342,0.000097894255,0.000017639099],"domain_scores_gemma":[0.99987006,0.000036636608,0.000020211808,0.000009670726,0.000054088832,0.000009284216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019002483,0.00029595147,0.0002673918,0.00028614607,0.0003879091,0.00056290487,0.00059996743,0.0005134617,0.0024553698],"category_scores_gemma":[0.0003202824,0.00021905114,0.0002220246,0.00024983732,0.00040914156,0.00047062922,0.00027631014,0.0003835482,0.0005135672],"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":[0.00017826239,0.000084645435,0.00075592275,0.001202962,0.000041709205,0.00031781464,0.00033993804,0.067012414,0.5623191,0.07894177,0.0032107646,0.28559464],"study_design_scores_gemma":[0.00020870737,0.0013691973,0.004798274,0.00020449879,0.000098485696,0.0012212655,0.00013887107,0.6054217,0.16608946,0.018417796,0.2019016,0.00013022336],"about_ca_topic_score_codex":0.0012893418,"about_ca_topic_score_gemma":0.0015082303,"teacher_disagreement_score":0.0024553698,"about_ca_system_score_codex":0.0005589595,"about_ca_system_score_gemma":0.00077767164,"threshold_uncertainty_score":0.0082140565},"labels":[],"label_agreement":null},{"id":"W2642432167","doi":"10.25103/jestr.092.19","title":"Interference Alignment - based Precoding and User Selection with Limited Feedback in Two - cell Downlink Multi - user MIMO Systems","year":2016,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Advanced MIMO Systems Optimization","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 Toronto","funders":"","keywords":"Precoding; Beamforming; Zero-forcing precoding; Telecommunications link; MIMO; Computer science; Overhead (engineering); Singular value decomposition; Interference (communication); Multi-user MIMO; Throughput; Electronic engineering; Channel state information; Spectral efficiency; Control theory (sociology); Channel (broadcasting); Algorithm; Computer network; Engineering; Telecommunications; Wireless; Artificial intelligence","score_opus":0.009764894437776318,"score_gpt":0.2321014985278417,"score_spread":0.2223366040900654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2642432167","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":[0.06040387,0.0006463203,0.936548,0.000086815984,0.000032414966,0.0000309959,0.000023659479,0.00013110609,0.0020967396],"genre_scores_gemma":[0.93350804,0.00049731805,0.06475238,0.000050348503,0.000040480707,0.000049795915,0.00003001513,0.000009657927,0.0010618403],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925643,0.00029996294,0.000028056053,0.000095023715,0.00024114168,0.0000793286],"domain_scores_gemma":[0.9995577,0.00018961739,0.00007655882,0.00004178546,0.00011036619,0.000023944398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005348996,0.00052033947,0.0007027401,0.000234466,0.0003156529,0.0004586048,0.00044784124,0.00035674183,0.00035714425],"category_scores_gemma":[0.0013192879,0.00027478536,0.0003097606,0.0006008149,0.0005352716,0.000523605,0.0004555881,0.0003103607,0.00013931688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002786529,0.000089400746,0.0016503506,0.000187867,0.00008898259,0.00033244106,0.0002453065,0.78746086,0.05145248,0.0166384,0.00085681357,0.14071847],"study_design_scores_gemma":[0.000015786482,0.00015451635,0.00046544994,0.000007806867,0.00001794235,0.00010395228,0.000022965272,0.99002117,0.0062462804,0.0024404083,0.0004868026,0.00001681639],"about_ca_topic_score_codex":0.0015367218,"about_ca_topic_score_gemma":0.0014420843,"teacher_disagreement_score":0.0015367218,"about_ca_system_score_codex":0.00030276377,"about_ca_system_score_gemma":0.0005340974,"threshold_uncertainty_score":0.0030555725},"labels":[],"label_agreement":null},{"id":"W2725266491","doi":"10.25103/jestr.102.09","title":"Effect of Plant Community Structure and Road Greenbelt Width on PM2.5 Concentration","year":2017,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Ministry of Housing and Urban-Rural Development","keywords":"Environmental science; Shrub; Daytime; Morning; Atmospheric sciences; Environmental engineering; Ecology; Botany; Physics","score_opus":0.017908701121900142,"score_gpt":0.3066733896141989,"score_spread":0.28876468849229875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725266491","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":[0.99965775,0.000041597912,0.00013609779,0.000003507142,0.000001149947,0.0000025349784,0.000022172884,0.000004484313,0.00013077655],"genre_scores_gemma":[0.999356,0.000035186833,0.00029222184,0.000007752451,0.0000012100522,0.000005263867,0.00008423071,0.00000263199,0.00021548547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998128,0.00003112275,0.000008670743,0.00007011092,0.000033152057,0.00004416185],"domain_scores_gemma":[0.9997434,0.00003446773,0.000057662553,0.000015066281,0.00006868245,0.00008073699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019019286,0.0003412212,0.00021212752,0.00036407326,0.00026720244,0.00031028938,0.00024457116,0.00019973618,0.0007395874],"category_scores_gemma":[0.00029910347,0.00014661487,0.00029176867,0.00018944537,0.00025591615,0.0002520173,0.00028450927,0.00015879558,0.00011380876],"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":[0.0008820234,0.0003686274,0.5834464,0.0001998068,0.00027692373,0.0004140131,0.0009554448,0.0047224974,0.38686547,0.00014750684,0.00020359526,0.021517802],"study_design_scores_gemma":[0.000008185367,0.0004148987,0.9914659,0.0000055215355,0.000045665325,0.000059410184,0.00043711197,0.001914455,0.0051862635,0.00003941582,0.00041263882,0.000010462895],"about_ca_topic_score_codex":0.008517704,"about_ca_topic_score_gemma":0.027587952,"teacher_disagreement_score":0.008517704,"about_ca_system_score_codex":0.00037211922,"about_ca_system_score_gemma":0.00022715508,"threshold_uncertainty_score":0.016936243},"labels":[],"label_agreement":null},{"id":"W2733200655","doi":"10.25103/jestr.102.10","title":"Stress Analysis of Perforated Casing in Shale Formation using Staged Finite Element Method","year":2017,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Drilling and Well Engineering","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 Ottawa","funders":"National Natural Science Foundation of China","keywords":"Casing; Finite element method; Hydraulic fracturing; Stress (linguistics); Oil shale; Geotechnical engineering; Stiffness; Materials science; Stress field; Anisotropy; Petroleum engineering; Geology; Structural engineering; Composite material; Engineering","score_opus":0.0219394573038598,"score_gpt":0.2991842067755907,"score_spread":0.2772447494717309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733200655","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":[0.2655113,0.0001704502,0.7294402,0.00008509917,0.00002816171,0.00008011752,0.00024184931,0.00084396143,0.0035987927],"genre_scores_gemma":[0.89232934,0.00015139245,0.1047726,0.000024916455,0.0000069350826,0.00011516099,0.00019133018,0.000066779234,0.0023414658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998847,0.000016939024,0.000009007495,0.000023985102,0.000051794137,0.000013444469],"domain_scores_gemma":[0.9997981,0.00007606714,0.000031068026,0.00002063424,0.00006348796,0.000010575848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018121392,0.00046437304,0.0003857917,0.0004946089,0.00022866295,0.00031582118,0.00081041123,0.0008444955,0.0018214501],"category_scores_gemma":[0.00046951213,0.00041736133,0.0005708462,0.0002985132,0.00036130456,0.00034616748,0.00030456364,0.00026535903,0.0002510039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043884047,0.000039997332,0.0022671618,0.00009904997,0.000021098349,0.00017278724,0.00015900169,0.9166412,0.06034177,0.0016882843,0.00021893259,0.018306745],"study_design_scores_gemma":[0.0000028050588,0.000014370772,0.00037146467,0.0000032950866,0.0000022798183,0.000018300198,0.000012837507,0.99701405,0.0021076945,0.00019106542,0.000256569,0.0000054393513],"about_ca_topic_score_codex":0.0046582287,"about_ca_topic_score_gemma":0.004652554,"teacher_disagreement_score":0.0046582287,"about_ca_system_score_codex":0.0003516283,"about_ca_system_score_gemma":0.00069945154,"threshold_uncertainty_score":0.009262204},"labels":[],"label_agreement":null},{"id":"W2738060227","doi":"10.25103/jestr.085.19","title":"Optimization of Well Placement and Production for Large - scale Mature Oil Fields","year":2015,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":13,"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":"Natural Sciences and Engineering Research Council of Canada; National Science and Technology Major Project","keywords":"Parallelizable manifold; Oil field; Scale (ratio); Mathematical optimization; Particle swarm optimization; Production (economics); Oil production; Computer science; Field (mathematics); Petroleum engineering; Mathematics; Engineering; Algorithm","score_opus":0.014939149042230829,"score_gpt":0.27988151190697325,"score_spread":0.26494236286474243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738060227","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":[0.10371093,0.0007785835,0.8895602,0.00027427464,0.000033063694,0.00007748661,0.00017167433,0.00022098693,0.0051728166],"genre_scores_gemma":[0.8087509,0.00086943514,0.18736967,0.000029668636,0.000012886798,0.0001287015,0.00016705383,0.000062460975,0.0026091551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986744,0.00003494044,0.0000073055044,0.000030325557,0.00003782811,0.000022225575],"domain_scores_gemma":[0.99970263,0.00016872222,0.000049475173,0.000016991558,0.000041267467,0.000020892385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057378534,0.00056067255,0.0007103599,0.0003447401,0.00030049315,0.00066803576,0.00062848505,0.00075998844,0.0010490987],"category_scores_gemma":[0.0009979712,0.0005628778,0.0004231542,0.0004452263,0.0005156632,0.00082593365,0.00052421325,0.0006016845,0.00014284396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009501029,0.000007351313,0.00018293195,0.000023084895,0.0000037081522,0.000022400289,0.0000041283915,0.99304295,0.0009973473,0.0013117163,0.000083619154,0.0043112556],"study_design_scores_gemma":[0.000004496484,0.000011853054,0.000099753015,0.0000024855494,0.000002231111,0.000007279308,0.0000066586254,0.9981699,0.00062702986,0.00082271063,0.00024309817,0.000002467235],"about_ca_topic_score_codex":0.0045820954,"about_ca_topic_score_gemma":0.0051870425,"teacher_disagreement_score":0.0045820954,"about_ca_system_score_codex":0.00088365277,"about_ca_system_score_gemma":0.0017032681,"threshold_uncertainty_score":0.009110868},"labels":[],"label_agreement":null},{"id":"W2739280662","doi":"10.25103/jestr.103.14","title":"Analysis on Wheel–Ground Contact Load Characteristics of Unmanned Off-road Vehicles","year":2017,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; Changchun Normal University; National Science Foundation","keywords":"Coupling (piping); Engineering; Automotive engineering; Vehicle dynamics; Mechanical engineering","score_opus":0.009626326332703331,"score_gpt":0.24719839710711358,"score_spread":0.23757207077441025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739280662","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":[0.9566203,0.00014347045,0.040597428,0.00002174184,0.00000475273,0.000014551791,0.00005404331,0.00011752767,0.0024261882],"genre_scores_gemma":[0.99907947,0.000041324583,0.00058522215,0.0000014540994,8.927803e-7,0.0000026549253,0.00002625017,0.000003829559,0.00025889615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989164,0.000009109599,0.000003338016,0.000020388048,0.00006146837,0.000013972375],"domain_scores_gemma":[0.99986064,0.00003434389,0.000029853121,0.000017394765,0.000051008832,0.0000067589544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107665015,0.00019846275,0.00019136212,0.00057667855,0.000143683,0.0002017509,0.0003030852,0.00020538706,0.0004872441],"category_scores_gemma":[0.0003183499,0.00008386758,0.0001765676,0.00036650326,0.00017063523,0.0004583968,0.00015298686,0.000120401055,0.0001128063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019629752,0.00025788948,0.044935785,0.00023878508,0.000052670774,0.00050038256,0.0005814224,0.5906515,0.1796933,0.0044316053,0.00071151374,0.17774884],"study_design_scores_gemma":[0.000002131947,0.000120883786,0.026696196,0.0000040072905,0.000008867158,0.00005795716,0.00012468145,0.95784235,0.014052553,0.00048260897,0.0005938627,0.000013931464],"about_ca_topic_score_codex":0.0037729554,"about_ca_topic_score_gemma":0.0027602739,"teacher_disagreement_score":0.0037729554,"about_ca_system_score_codex":0.0002556262,"about_ca_system_score_gemma":0.00019818118,"threshold_uncertainty_score":0.00750196},"labels":[],"label_agreement":null},{"id":"W2759862099","doi":"10.25103/jestr.104.06","title":"An Inference Method for Personalized Automotive Service Based on Rough Set and Evidential Reasoning","year":2017,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","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":"McMaster University","funders":"Jiangxi University of Science and Technology","keywords":"Automotive industry; Service (business); Rough set; Computer science; Service quality; Service level objective; Inference; Set (abstract data type); Data mining; Service provider; Service design; Artificial intelligence; Engineering; Marketing; Business","score_opus":0.030116785869298852,"score_gpt":0.3535434819060865,"score_spread":0.32342669603678764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759862099","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":[0.0037614503,0.00014936696,0.9948828,0.00010501041,0.00002459109,0.000057992318,0.000044471926,0.00018401083,0.000790332],"genre_scores_gemma":[0.29361668,0.0007017285,0.70250875,0.00014813406,0.00012768676,0.0003905549,0.0003755697,0.000054644577,0.0020762363],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970591,0.0006418134,0.00037133237,0.00055527536,0.0012253886,0.00014711801],"domain_scores_gemma":[0.9971974,0.0016105724,0.0002304528,0.00019045196,0.000707372,0.00006367386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002644032,0.00079488417,0.0012825156,0.0027599232,0.00092170667,0.0017416095,0.001514092,0.0008341808,0.0021219966],"category_scores_gemma":[0.0081189545,0.00059229287,0.002852054,0.0014878736,0.000744623,0.0025268942,0.0010271774,0.0014265392,0.00036902176],"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":[0.00018769605,0.00016060252,0.0026710168,0.00085959374,0.00030098358,0.0005709753,0.0011652829,0.41992626,0.008271517,0.0975245,0.0044275154,0.46393397],"study_design_scores_gemma":[0.00004529549,0.00004783564,0.0004830443,0.000043858916,0.00010543817,0.00012340758,0.00008977826,0.96723235,0.0024938833,0.026995745,0.002296369,0.000043004413],"about_ca_topic_score_codex":0.007638671,"about_ca_topic_score_gemma":0.0053282618,"teacher_disagreement_score":0.007638671,"about_ca_system_score_codex":0.0014667783,"about_ca_system_score_gemma":0.002350021,"threshold_uncertainty_score":0.015188396},"labels":[],"label_agreement":null},{"id":"W2768598823","doi":"10.25103/jestr.105.03","title":"A Virtual Reality Dance Self-learning Framework using Laban Movement Analysis","year":2017,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Human Motion and Animation","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":"York University","funders":"","keywords":"Dance; Movement (music); Computer science; Artificial intelligence; Dynamic time warping; Motion (physics); Basis (linear algebra); Feature (linguistics); Constructive; Human–computer interaction; Mode (computer interface); Computer vision; Multimedia; Mathematics","score_opus":0.01651234522792026,"score_gpt":0.28879194896100935,"score_spread":0.27227960373308907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768598823","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":[0.010216168,0.00026483467,0.98366827,0.000076014585,0.000016842963,0.00014420274,0.00007931443,0.002127092,0.0034072932],"genre_scores_gemma":[0.25258258,0.0005120669,0.7396929,0.0000780208,0.00003202529,0.00058582803,0.00038850345,0.00019538442,0.0059327027],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996302,0.00010367539,0.000021861002,0.00008890181,0.00013269988,0.000022667333],"domain_scores_gemma":[0.99964786,0.00013049731,0.0000347466,0.000049968916,0.00010030616,0.000036582594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007510755,0.00062306755,0.0004137829,0.0012935356,0.00029347243,0.0007643801,0.0013105377,0.0005110691,0.0044949497],"category_scores_gemma":[0.0011059137,0.00025325583,0.00067448197,0.00037320668,0.0003779918,0.0007409811,0.00090919505,0.00041993984,0.00084947917],"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":[0.00019016882,0.00033342547,0.0021710102,0.0005652732,0.0000782244,0.00015958615,0.00065814325,0.06522971,0.04558786,0.016246108,0.0038542456,0.8649263],"study_design_scores_gemma":[0.000059630547,0.00050766853,0.006324204,0.00013179144,0.00008957037,0.0006371684,0.00027275208,0.9302804,0.01895502,0.008714585,0.033921435,0.00010588903],"about_ca_topic_score_codex":0.002052659,"about_ca_topic_score_gemma":0.0022269513,"teacher_disagreement_score":0.0044949497,"about_ca_system_score_codex":0.0004483034,"about_ca_system_score_gemma":0.0005735466,"threshold_uncertainty_score":0.01503706},"labels":[],"label_agreement":null},{"id":"W2794029223","doi":"10.25103/jestr.111.24","title":"On Virtualization and Security-Awareness Performance Analysis in 5G Cellular Networks","year":2018,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Advanced MIMO Systems Optimization","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":"Western University","funders":"King Abdulaziz City for Science and Technology","keywords":"Virtualization; Computer science; Computer network; Multitenancy; Cloud computing; Cellular network; Service virtualization; Data virtualization; Software as a service; Operating system; Software","score_opus":0.004655963833491469,"score_gpt":0.22434131463019236,"score_spread":0.21968535079670087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794029223","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":[0.65783054,0.009558806,0.31564233,0.0011928669,0.00020931062,0.00009077323,0.00015386291,0.00030920314,0.015012305],"genre_scores_gemma":[0.9961694,0.00074436783,0.0027634262,0.000022431735,0.000023181017,0.0000065779213,0.000026573822,0.000008113745,0.00023593596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989267,0.00040211887,0.000032229338,0.00009596015,0.0002727068,0.00027021114],"domain_scores_gemma":[0.99763525,0.001444919,0.00024886004,0.0001645572,0.00041121556,0.00009507724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015306,0.0007299358,0.0006303432,0.0007574272,0.00044096424,0.0010495886,0.00055024936,0.0004437105,0.0006218061],"category_scores_gemma":[0.00470195,0.00019150287,0.0004920041,0.00088435906,0.00060556125,0.0013140541,0.0006797953,0.00072327664,0.00009908911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016249054,0.00004906488,0.00482467,0.000075160846,0.000059789767,0.00011663966,0.00007878863,0.9458263,0.0035251733,0.026729567,0.00071555364,0.017836824],"study_design_scores_gemma":[0.0000015379505,0.000047339898,0.001111043,0.000008001844,0.000011237682,0.00003377141,0.000027395618,0.99515617,0.00074855145,0.0026300922,0.00021824274,0.00000663949],"about_ca_topic_score_codex":0.005685562,"about_ca_topic_score_gemma":0.0018279628,"teacher_disagreement_score":0.005685562,"about_ca_system_score_codex":0.0014719947,"about_ca_system_score_gemma":0.0010597318,"threshold_uncertainty_score":0.011304975},"labels":[],"label_agreement":null},{"id":"W2895348748","doi":"10.25103/jestr.065.06","title":"Smart Base Station Antenna Performance for Cellular Radio System","year":2013,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Antenna Design 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":"Université Laval","funders":"","keywords":"Smart antenna; Weight; Antenna (radio); Computer science; Algorithm; Direction of arrival; Antenna array; SIGNAL (programming language); Signal subspace; Adaptive beamformer; Beamforming; Azimuth; Covariance matrix; Electronic engineering; Noise (video); Sensor array; Directional antenna; Engineering; Telecommunications; Mathematics; Artificial intelligence","score_opus":0.007049734065988937,"score_gpt":0.18910897398249937,"score_spread":0.18205923991651043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895348748","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":[0.7566582,0.0027992986,0.17718557,0.0011515019,0.00036290675,0.0000712904,0.0015088104,0.0034670392,0.056795415],"genre_scores_gemma":[0.9908538,0.0005074295,0.0037644356,0.00014866248,0.00003426964,0.000022638713,0.0005779325,0.00005147388,0.0040393644],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997037,0.00005989792,0.000012497921,0.000051797102,0.00009574272,0.000076403325],"domain_scores_gemma":[0.9992536,0.00020233192,0.00004993854,0.00011041303,0.00034423944,0.000039502298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032326847,0.00053925446,0.00038990835,0.00032112352,0.0002636877,0.0006364229,0.0003041632,0.00067884877,0.00923262],"category_scores_gemma":[0.0011545555,0.000098918055,0.00022429977,0.00058029883,0.00014032856,0.00038196676,0.00032881834,0.00032459362,0.003779598],"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":[0.0023844035,0.0001295801,0.029573299,0.00057362,0.00023806666,0.00061300467,0.00028788083,0.32331303,0.2871274,0.007663037,0.016438182,0.3316585],"study_design_scores_gemma":[0.00010147526,0.002749731,0.042597037,0.000112480244,0.00038749882,0.0017006671,0.00048365825,0.823165,0.103437014,0.0035384553,0.021623999,0.00010287382],"about_ca_topic_score_codex":0.00148325,"about_ca_topic_score_gemma":0.0011986529,"teacher_disagreement_score":0.00923262,"about_ca_system_score_codex":0.00041556233,"about_ca_system_score_gemma":0.00025265603,"threshold_uncertainty_score":0.030886173},"labels":[],"label_agreement":null},{"id":"W2895677301","doi":"10.25103/jestr.113.20","title":"Stability Analysis of Middle Rock Pillar and Cross - Section Optimization for Ultra - Small Spacing Tunnels","year":2018,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Henan Polytechnic University; National Natural Science Foundation of China","keywords":"Pillar; Geotechnical engineering; Bearing capacity; Skew; Deformation (meteorology); Settlement (finance); Cross section (physics); Rock mass classification; Displacement (psychology); Structural engineering; Bearing (navigation); Geology; Stability (learning theory); Engineering; Geography; Computer science","score_opus":0.01606161753873663,"score_gpt":0.23965389595506978,"score_spread":0.22359227841633314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895677301","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":[0.63327146,0.0002556234,0.36071068,0.00006561197,0.000020107778,0.00004384426,0.000085499014,0.00015824802,0.005388975],"genre_scores_gemma":[0.9817909,0.0000832101,0.017050255,0.0000054946167,0.000002672821,0.00003251241,0.000048161568,0.000028747865,0.0009580233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998542,0.000025045145,0.0000057156485,0.00002428239,0.00006394922,0.000026671889],"domain_scores_gemma":[0.9997993,0.00005342263,0.00003716786,0.00001785384,0.00007776307,0.000014548344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004326127,0.00040572922,0.00039192074,0.00072368694,0.00031700396,0.00034980325,0.0005096311,0.00035443262,0.001593765],"category_scores_gemma":[0.00046631234,0.00031341857,0.0006371296,0.00031488435,0.00034643817,0.00038347984,0.00040081944,0.00019005327,0.00021204018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055898585,0.000037016398,0.0040401076,0.00009489736,0.000019028006,0.00012610138,0.0000620125,0.9410089,0.03587641,0.0028336092,0.00024897716,0.015597089],"study_design_scores_gemma":[0.000007568052,0.000046334128,0.0013394917,0.0000047984545,0.0000085708125,0.00003219044,0.000033550106,0.99463826,0.0031151911,0.0004538093,0.00031317814,0.0000070124192],"about_ca_topic_score_codex":0.0024710312,"about_ca_topic_score_gemma":0.002550899,"teacher_disagreement_score":0.0024710312,"about_ca_system_score_codex":0.0003900749,"about_ca_system_score_gemma":0.0006425765,"threshold_uncertainty_score":0.005331695},"labels":[],"label_agreement":null},{"id":"W2895972802","doi":"10.25103/jestr.085.14","title":"Research on Navigation Path Planning for An Underground Load Haul Dump","year":2015,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Motion planning; Path (computing); Trajectory; Computer science; Scraper site; Tracking (education); Real-time computing; Shortest path problem; Simulation; Algorithm; Mathematical optimization; Robot; Artificial intelligence; Mathematics","score_opus":0.05300384464015062,"score_gpt":0.3585514638392002,"score_spread":0.3055476191990496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895972802","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":[0.013770125,0.00059481175,0.98201686,0.000119639306,0.000043041284,0.00003980782,0.000055912868,0.00024166376,0.0031181977],"genre_scores_gemma":[0.47648886,0.0025793044,0.5131339,0.000067035384,0.000045136527,0.00020852278,0.00035078134,0.00008668994,0.007039698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997092,0.00005702627,0.000016491716,0.000090197136,0.00009691082,0.000030171772],"domain_scores_gemma":[0.9996847,0.00010618412,0.00004255743,0.000027698778,0.000113073045,0.00002586078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003462749,0.0008169128,0.0005566247,0.0009628481,0.0009161452,0.000821265,0.00091336307,0.00061945454,0.0022460192],"category_scores_gemma":[0.0008442119,0.00041425473,0.00066446536,0.0013495359,0.00046620434,0.0013692622,0.0007152444,0.00073605985,0.00035236654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047697988,0.000039521987,0.0018242646,0.00021263727,0.000054284563,0.00012494688,0.00014070922,0.76462173,0.0045726467,0.021793835,0.0018004391,0.20476726],"study_design_scores_gemma":[0.000011600682,0.0000927089,0.0004542585,0.000017933506,0.000021439007,0.00010600368,0.000075375974,0.98740095,0.0017357923,0.005196475,0.004870383,0.00001706846],"about_ca_topic_score_codex":0.01574755,"about_ca_topic_score_gemma":0.008032527,"teacher_disagreement_score":0.01574755,"about_ca_system_score_codex":0.00081033487,"about_ca_system_score_gemma":0.0023962932,"threshold_uncertainty_score":0.03131175},"labels":[],"label_agreement":null},{"id":"W2896067422","doi":"10.25103/jestr.084.09","title":"Terrain reconstruction based on descent images for the Chang ’ e III landing area","year":2015,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Robotics and Sensor-Based Localization","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":"JDA Software (Canada)","funders":"National Natural Science Foundation of China","keywords":"Terrain; Gradient descent; Computer vision; Reflection (computer programming); Artificial intelligence; Constraint (computer-aided design); Centroid; Coordinate descent; Smoothness; Computer science; Mathematics; Algorithm; Geometry; Geography; Mathematical analysis; Artificial neural network","score_opus":0.022620905400304266,"score_gpt":0.24104751715762845,"score_spread":0.2184266117573242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896067422","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":[0.073995255,0.00025213748,0.92134666,0.00010480905,0.00008072258,0.00007152239,0.0001429498,0.0013683067,0.0026375428],"genre_scores_gemma":[0.46055305,0.00034441578,0.5350629,0.000046398392,0.000030221883,0.000057685385,0.0004279884,0.00013274277,0.0033445798],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982625,0.00001724495,0.0000089256755,0.00003696673,0.00008647296,0.000024111805],"domain_scores_gemma":[0.9998411,0.000018091756,0.000018025106,0.000026659513,0.00008365559,0.000012442538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020795387,0.0005857992,0.00055543147,0.0013341842,0.0002840439,0.00043561915,0.0005864509,0.0003625453,0.0011286519],"category_scores_gemma":[0.00041771456,0.0002695475,0.00064665824,0.0011715267,0.00021854547,0.00059163675,0.00043712018,0.00040941403,0.0004719408],"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":[0.00019353669,0.00006741075,0.0072859875,0.00025880616,0.00007170385,0.00038863003,0.00030118655,0.055738553,0.11539419,0.0030059528,0.0035227104,0.8137713],"study_design_scores_gemma":[0.00004652957,0.00016678288,0.013414788,0.000028853394,0.000072415496,0.0008860728,0.0003068774,0.9218694,0.05253259,0.002041617,0.008568602,0.00006545316],"about_ca_topic_score_codex":0.0045377985,"about_ca_topic_score_gemma":0.006621259,"teacher_disagreement_score":0.0045377985,"about_ca_system_score_codex":0.0002828872,"about_ca_system_score_gemma":0.0008263194,"threshold_uncertainty_score":0.009022772},"labels":[],"label_agreement":null},{"id":"W2896112119","doi":"10.25103/jestr.093.16","title":"Analysis Method for the Response of Structures Subjected to Non - stationary Seismic Excitations","year":2016,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities","keywords":"Pier; Bridge (graph theory); Transient (computer programming); Structural engineering; Seismic analysis; Finite element method; Series (stratigraphy); Software; Computer science; Engineering; Geology","score_opus":0.00863854388211911,"score_gpt":0.2888958157191108,"score_spread":0.28025727183699173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896112119","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":[0.0014747432,0.00005777207,0.99772865,0.0000129559385,0.000018225328,0.00001789883,0.000021803648,0.00013894783,0.00052908465],"genre_scores_gemma":[0.15349856,0.00070552813,0.83706677,0.000070539856,0.00007497286,0.00042603686,0.0002573949,0.00023676806,0.0076633524],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970824,0.000043137534,0.000013687545,0.000047435457,0.00016727451,0.000020126603],"domain_scores_gemma":[0.9995901,0.00017143169,0.00004026878,0.000044153694,0.00014308239,0.000010942217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004743989,0.00083839154,0.00051445153,0.00089451374,0.000352592,0.0004993106,0.0008520721,0.00091103336,0.004714815],"category_scores_gemma":[0.00089605263,0.00034967487,0.0006934277,0.0006533468,0.00032219652,0.00069804414,0.00050540693,0.00092186214,0.0012932043],"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":[0.000087916305,0.00011141593,0.0010995592,0.00060952286,0.00009697105,0.00028819268,0.00034062122,0.32420135,0.16142228,0.05257437,0.0038149299,0.45535287],"study_design_scores_gemma":[0.0000075772746,0.000050895214,0.00039739258,0.000019904392,0.000013541835,0.00016417289,0.000031818232,0.98168534,0.007322539,0.004196376,0.0060922196,0.000018205006],"about_ca_topic_score_codex":0.0015195207,"about_ca_topic_score_gemma":0.0020109555,"teacher_disagreement_score":0.004714815,"about_ca_system_score_codex":0.0003066372,"about_ca_system_score_gemma":0.0009703449,"threshold_uncertainty_score":0.01577264},"labels":[],"label_agreement":null},{"id":"W2896261577","doi":"10.25103/jestr.073.17","title":"Capacity and Performance of MIMO systems for Wireless Communications","year":2014,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"MIMO; Channel capacity; Multi-user MIMO; Wireless; Channel (broadcasting); Computer science; 3G MIMO; Electronic engineering; Computer network; Telecommunications; Engineering","score_opus":0.014089820076182112,"score_gpt":0.23744034213740625,"score_spread":0.22335052206122413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896261577","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":[0.071769536,0.024752492,0.82714593,0.0024327852,0.00056566595,0.00007553164,0.00065526785,0.0005280127,0.07207483],"genre_scores_gemma":[0.95756626,0.011477339,0.02431585,0.0003068598,0.000947043,0.00011769,0.00026686233,0.00009410146,0.0049080104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820197,0.00062399154,0.000049889888,0.00014806139,0.0007147293,0.000261429],"domain_scores_gemma":[0.9949588,0.003660868,0.0003004429,0.0002974905,0.0007101419,0.00007235393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016127295,0.0011488721,0.0007037705,0.0008496435,0.00045011583,0.0015843282,0.000692128,0.0011214948,0.0033935935],"category_scores_gemma":[0.00850063,0.00032120955,0.00035150547,0.0014493701,0.001358291,0.0017716206,0.0011383969,0.0013006806,0.0009341678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093957846,0.00004297554,0.00054018747,0.00034386315,0.00005063862,0.00019886247,0.00014397124,0.6891564,0.008128796,0.259513,0.0049835793,0.03680381],"study_design_scores_gemma":[0.0000090775875,0.00009724802,0.0006796939,0.00012510421,0.000023169669,0.00021951512,0.00006351732,0.88369626,0.0039851745,0.10518808,0.005857213,0.000055991226],"about_ca_topic_score_codex":0.0016252169,"about_ca_topic_score_gemma":0.00088857807,"teacher_disagreement_score":0.0033935935,"about_ca_system_score_codex":0.0013509085,"about_ca_system_score_gemma":0.00081696967,"threshold_uncertainty_score":0.011352718},"labels":[],"label_agreement":null},{"id":"W2897417187","doi":"10.25103/jestr.091.23","title":"Feasibility Study on Steam and Gas Push with Dual Horizontal Wells in a Moderate - Depth Heavy Oil Reservoir","year":2016,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Enhanced Oil Recovery Techniques","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 Calgary","funders":"","keywords":"Steam injection; Steam-assisted gravity drainage; Petroleum engineering; Environmental science; Environmental engineering; Waste management; Engineering; Oil sands; Asphalt; Materials science","score_opus":0.014489374228516263,"score_gpt":0.26120809917676513,"score_spread":0.24671872494824887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897417187","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":[0.9893215,0.00017386061,0.0095374435,0.00007087737,0.000011119721,0.00004831933,0.000041175103,0.000059308095,0.00073641335],"genre_scores_gemma":[0.99549615,0.000097354234,0.004048141,0.0000055352475,0.0000016758743,0.000012331123,0.000013761715,0.0000026412238,0.00032240688],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980885,0.00001988079,0.000009401147,0.000033416974,0.00008992714,0.000038466147],"domain_scores_gemma":[0.9998385,0.00004068364,0.000034013116,0.000012906573,0.000043714455,0.000030189405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030346686,0.00026185656,0.0003544987,0.0002253304,0.00029252825,0.0003017474,0.0004572808,0.00039518526,0.00064184354],"category_scores_gemma":[0.00029073266,0.00018101791,0.00032029828,0.00020343842,0.00036217776,0.0006743518,0.00042731606,0.00029839596,0.00010085913],"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":[0.00048711052,0.00024803457,0.0062640547,0.00028917703,0.000012618537,0.00059562194,0.00012890194,0.013774127,0.96485484,0.00087212503,0.00010954275,0.012363832],"study_design_scores_gemma":[0.000084220745,0.0033958629,0.00819203,0.000020771007,0.0000561484,0.0003142315,0.00035800954,0.13010657,0.8553123,0.00027990525,0.0018254515,0.00005444706],"about_ca_topic_score_codex":0.0017257138,"about_ca_topic_score_gemma":0.002199239,"teacher_disagreement_score":0.0017257138,"about_ca_system_score_codex":0.0003767413,"about_ca_system_score_gemma":0.0006622772,"threshold_uncertainty_score":0.0034313798},"labels":[],"label_agreement":null},{"id":"W2897640483","doi":"10.25103/jestr.083.28","title":"Experimental I nvestigations into the Effects of Lithology on Acoustic Emission","year":2015,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Rock Mechanics and Modeling","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":"National Natural Science Foundation of China","keywords":"Acoustic emission; Lithology; Geology; Basalt; Rock burst; Mineralogy; Geochemistry; Materials science; Composite material; Chemistry","score_opus":0.011534984430271079,"score_gpt":0.2589720123315123,"score_spread":0.24743702790124122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897640483","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":[0.9954223,0.0001245384,0.0034268124,0.00001657171,0.000008761523,0.00005171476,0.0001966353,0.000031449978,0.00072118803],"genre_scores_gemma":[0.9930737,0.0003718041,0.0052069123,0.000021024318,0.00000760842,0.00012734035,0.00027425992,0.000017919812,0.00089949527],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995933,0.000048396945,0.0000377541,0.00008372999,0.00013487335,0.00010192111],"domain_scores_gemma":[0.9991159,0.0003744589,0.00014254585,0.00013155062,0.00017934396,0.000056117726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006342877,0.00050074025,0.00031830106,0.0002694933,0.00036150095,0.00023414141,0.00039598305,0.00037137553,0.0025579154],"category_scores_gemma":[0.0009160029,0.00026348614,0.0003453707,0.00027506397,0.00044023158,0.0003202494,0.0005494148,0.00051402167,0.00026636178],"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":[0.00033935517,0.00041649689,0.0037027365,0.00010655224,0.00001137596,0.00006779626,0.0001562384,0.001886932,0.989627,0.000114443676,0.000064812244,0.003506272],"study_design_scores_gemma":[0.00003705721,0.004358591,0.01510384,0.000014340582,0.000035990415,0.00008187113,0.00023210527,0.0057623615,0.9731948,0.000119342614,0.0010281557,0.000031632324],"about_ca_topic_score_codex":0.0010169995,"about_ca_topic_score_gemma":0.0015142909,"teacher_disagreement_score":0.0025579154,"about_ca_system_score_codex":0.00019248061,"about_ca_system_score_gemma":0.0002908067,"threshold_uncertainty_score":0.008557022},"labels":[],"label_agreement":null},{"id":"W2906084246","doi":"10.25103/jestr.115.19","title":"Smoothing and Reconstruction Strategy for Part Repair Using a Laser Displacement Sensor","year":2018,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Industrial Vision Systems and Defect Detection","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 Calgary","funders":"","keywords":"Smoothness; Smoothing; Interpolation (computer graphics); Curve fitting; Displacement (psychology); Measure (data warehouse); Observational error; Computer science; Mathematics; Algorithm; Artificial intelligence; Computer vision; Statistics; Data mining; Mathematical analysis; Motion (physics)","score_opus":0.0296449475426924,"score_gpt":0.28069764947436987,"score_spread":0.25105270193167745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906084246","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":[0.08628168,0.00017040748,0.91116244,0.00008357699,0.000031284217,0.000047487585,0.00003514646,0.00088882947,0.0012991834],"genre_scores_gemma":[0.8116405,0.00016187379,0.18587126,0.00004511853,0.000012551948,0.0000612968,0.00010979755,0.000048524267,0.0020490545],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99943835,0.000056592737,0.000035756166,0.00016875277,0.00026461357,0.00003593766],"domain_scores_gemma":[0.9995332,0.00009956096,0.00007327099,0.00008937277,0.0001809791,0.000023637247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004237987,0.00053185323,0.00041652346,0.00083505054,0.00039120216,0.00054769096,0.00085932587,0.0005249685,0.0012998347],"category_scores_gemma":[0.0010170683,0.00036773432,0.0006981775,0.0006280261,0.0003622955,0.00096887833,0.00054019794,0.00044781907,0.0003239633],"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":[0.00042218427,0.00014398295,0.008685259,0.00024524672,0.00006271682,0.00031312538,0.00066775683,0.19683126,0.3032539,0.007192556,0.0013741471,0.48080793],"study_design_scores_gemma":[0.000017487238,0.00023762615,0.004425673,0.000011217745,0.00003721106,0.00021452282,0.00011285481,0.9207123,0.07032234,0.0012003386,0.0026352634,0.00007305833],"about_ca_topic_score_codex":0.0040774485,"about_ca_topic_score_gemma":0.0026921956,"teacher_disagreement_score":0.0040774485,"about_ca_system_score_codex":0.0005338035,"about_ca_system_score_gemma":0.00071469863,"threshold_uncertainty_score":0.008107424},"labels":[],"label_agreement":null},{"id":"W2955711919","doi":"10.25103/jestr.122.18","title":"Fault Diagnosis Based on the Optimization of Characteristic Parameters and Neural Networks of Gearboxes","year":2019,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Machine Fault Diagnosis Techniques","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 the Fraser Valley","funders":"","keywords":"Artificial neural network; Rough set; Reduction (mathematics); Pattern recognition (psychology); Entropy (arrow of time); Fault (geology); Hilbert–Huang transform; Computer science; Equivalence (formal languages); Data mining; Artificial intelligence; Algorithm; Energy (signal processing); Engineering; Mathematics; Statistics","score_opus":0.006532829456328793,"score_gpt":0.23454791220664925,"score_spread":0.22801508275032045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955711919","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":[0.08695288,0.0008446249,0.91046894,0.00008953348,0.00003149402,0.000046560766,0.0000304269,0.0002608834,0.0012746681],"genre_scores_gemma":[0.9125579,0.00052670535,0.08626916,0.000018940715,0.000015682559,0.00005420758,0.000058099926,0.0000121514095,0.0004871569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996315,0.00008038264,0.000036022266,0.00009350239,0.00013102728,0.0000274982],"domain_scores_gemma":[0.9996426,0.0001732123,0.00006384217,0.000024005469,0.00008655475,0.000009738812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063277676,0.00057963986,0.0006864667,0.00086445746,0.00019025906,0.00050077745,0.00041080313,0.00036473607,0.0003178892],"category_scores_gemma":[0.0021428892,0.0002681587,0.00069824135,0.0004974365,0.00031301516,0.0007367454,0.0003596655,0.0003852008,0.000055498294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000899767,0.000049045237,0.0023650052,0.00016161753,0.00008009542,0.00008546669,0.000083680716,0.8118787,0.013255563,0.003892287,0.00038428683,0.16767442],"study_design_scores_gemma":[0.0000029889818,0.000020112953,0.00067721965,0.0000062506156,0.000012482594,0.000017120261,0.000008278684,0.9959186,0.0018533295,0.0013434447,0.00013506785,0.0000051439506],"about_ca_topic_score_codex":0.0018698768,"about_ca_topic_score_gemma":0.0011087465,"teacher_disagreement_score":0.0018698768,"about_ca_system_score_codex":0.0004933815,"about_ca_system_score_gemma":0.00037793466,"threshold_uncertainty_score":0.003717959},"labels":[],"label_agreement":null},{"id":"W2977945139","doi":"10.25103/jestr.124.11","title":"Formation Damage and Wellbore Stability of Soft Mudstone Subjected to Thermal– Hydraulic–Mechanical Loading","year":2019,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Rock Mechanics and Modeling","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":"Petro Geotech (Canada)","funders":"","keywords":"Wellbore; Compaction; Pore water pressure; Geotechnical engineering; Permeability (electromagnetism); Plasticity; Geology; Thermal; Materials science; Mechanics; Petroleum engineering; Composite material; Thermodynamics; Chemistry","score_opus":0.008691986671634106,"score_gpt":0.22142959863214223,"score_spread":0.21273761196050814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977945139","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":[0.9991773,0.000023949098,0.0006420104,0.00000551359,0.0000011754414,0.0000019021594,0.000017835824,0.0000081912785,0.00012211646],"genre_scores_gemma":[0.99978393,0.000014594769,0.000084871666,0.0000013950879,2.4519804e-7,0.0000014364696,0.000012339389,8.8447536e-7,0.00010028394],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999379,0.0000067115193,0.0000061226797,0.00001525394,0.000016410255,0.000017661887],"domain_scores_gemma":[0.9998584,0.000033101693,0.000046613248,0.000016453201,0.000021554806,0.000023851602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016199437,0.0002739206,0.00023176684,0.00038602165,0.0001805661,0.000290305,0.00023132685,0.0003580386,0.0005117645],"category_scores_gemma":[0.00033005327,0.00022074375,0.00031174615,0.00018476113,0.0004650619,0.00032867544,0.00040837235,0.00019548206,0.000064526146],"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":[0.00060818286,0.00015468601,0.08292518,0.00013548713,0.00010237195,0.0010603766,0.0003798874,0.44359586,0.4575909,0.0007052491,0.00012529854,0.012616433],"study_design_scores_gemma":[0.000014851973,0.00028692817,0.12033343,0.000009901485,0.00004620743,0.00011764761,0.0002474071,0.8151747,0.06325141,0.0002992587,0.00018178398,0.000036469726],"about_ca_topic_score_codex":0.004738768,"about_ca_topic_score_gemma":0.004614075,"teacher_disagreement_score":0.004738768,"about_ca_system_score_codex":0.00037821202,"about_ca_system_score_gemma":0.00019527266,"threshold_uncertainty_score":0.009422362},"labels":[],"label_agreement":null},{"id":"W2991019364","doi":"10.25103/jestr.125.25","title":"A Quantitative Scenario Analysis Method for Ecological Safety Development Trends in Rare Earth Mining Areas","year":2019,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","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":"McMaster University","funders":"Jiangxi University of Science and Technology","keywords":"Scenario analysis; Context (archaeology); Environmental science; Process (computing); Environmental resource management; Computer science; Geography; Business","score_opus":0.01692237705320972,"score_gpt":0.31792353554324887,"score_spread":0.30100115849003917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991019364","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":[0.051890843,0.00014030577,0.9401297,0.00026541873,0.000029309253,0.0003881211,0.00094939023,0.0004344628,0.0057724277],"genre_scores_gemma":[0.7207061,0.0003907337,0.2734331,0.000056156638,0.000025091149,0.001256771,0.0017211239,0.00006063121,0.0023504018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830747,0.0007645303,0.0001312553,0.00032933382,0.00035908312,0.000108294975],"domain_scores_gemma":[0.99756765,0.0015002327,0.00028250815,0.00010959886,0.0004435447,0.00009638714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00291136,0.0012023837,0.00052075327,0.003737957,0.00056060124,0.0018729379,0.0011643114,0.000797412,0.0046234247],"category_scores_gemma":[0.0064827846,0.0004256727,0.0014661568,0.0025962885,0.00048099252,0.0026845578,0.0011320685,0.0009317358,0.00030922238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006884464,0.00007581726,0.008702322,0.00017192826,0.00011008081,0.00030666502,0.00036407996,0.89276165,0.0014731232,0.039480593,0.001283814,0.055201154],"study_design_scores_gemma":[0.000009358273,0.00003071566,0.00097425695,0.00001551043,0.000022585518,0.000054108274,0.00014665308,0.98609066,0.00034338038,0.011283847,0.0010092964,0.000019585732],"about_ca_topic_score_codex":0.010785219,"about_ca_topic_score_gemma":0.0069850236,"teacher_disagreement_score":0.010785219,"about_ca_system_score_codex":0.0016145009,"about_ca_system_score_gemma":0.0019482084,"threshold_uncertainty_score":0.021444917},"labels":[],"label_agreement":null},{"id":"W3022779370","doi":"10.25103/jestr.132.15","title":"Multi-Characteristic Parameter Classification Algorithm of Cracks on Bridge Substructures","year":2020,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Infrastructure Maintenance and Monitoring","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":"Lakehead University","funders":"Education Department of Shaanxi Province; Weinan Normal University","keywords":"Algorithm; Artificial neural network; Bridge (graph theory); Substructure; Identification (biology); Computer science; Projection (relational algebra); Artificial intelligence; Pattern recognition (psychology); Structural engineering; Engineering","score_opus":0.019092816963597332,"score_gpt":0.25327420776261844,"score_spread":0.23418139079902112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022779370","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":[0.082701795,0.00022377641,0.9149272,0.000095572665,0.00004095195,0.00007632226,0.00003361908,0.00079444307,0.0011062744],"genre_scores_gemma":[0.5880521,0.00027153594,0.40744084,0.00007858978,0.000033000917,0.00015924033,0.00020531903,0.00007615853,0.0036831866],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994961,0.00003420976,0.00004708613,0.00017089651,0.0001932519,0.00005844883],"domain_scores_gemma":[0.9993074,0.000110516536,0.0000790999,0.00006898971,0.00039598407,0.000038055587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006161668,0.0004950626,0.0007071741,0.0015714548,0.00038940686,0.0006866274,0.00085012004,0.00092701876,0.0011582308],"category_scores_gemma":[0.0013035366,0.00030561106,0.00079583493,0.00061442534,0.00035956915,0.0010488259,0.00050752674,0.0006696188,0.00040621473],"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":[0.00024801647,0.00011067046,0.007909401,0.00009645874,0.0000680425,0.00015815634,0.00028243315,0.0827417,0.07676367,0.0020873244,0.0014927076,0.82804143],"study_design_scores_gemma":[0.000015057143,0.00007424261,0.0041412227,0.000011113511,0.000024048171,0.00014380396,0.00004506238,0.9809209,0.012951099,0.0006937349,0.00096225215,0.000017581608],"about_ca_topic_score_codex":0.0039029354,"about_ca_topic_score_gemma":0.0028343902,"teacher_disagreement_score":0.0039029354,"about_ca_system_score_codex":0.00052403286,"about_ca_system_score_gemma":0.00062558305,"threshold_uncertainty_score":0.007760465},"labels":[],"label_agreement":null},{"id":"W3208932422","doi":"10.25103/jestr.144.05","title":"High -speed Train Running Safety under Random Wind Effect","year":2021,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","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":"University of Waterloo","funders":"Anhui University; Anhui University of Science and Technology; National Natural Science Foundation of China","keywords":"Automotive engineering; Wind speed; Computer science; Engineering; Meteorology; Physics","score_opus":0.005710814824366258,"score_gpt":0.24299244612087292,"score_spread":0.23728163129650667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208932422","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":[0.9791155,0.000045205295,0.018677184,0.000032643853,0.000021851869,0.000011123089,0.00009649592,0.00016738032,0.0018326864],"genre_scores_gemma":[0.99929595,0.000017458311,0.00038843523,0.0000031657883,0.0000015558239,0.0000031978284,0.00007112207,0.000006545343,0.00021249153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999806,0.000023904182,0.000012742685,0.000038599577,0.000070169175,0.000048536767],"domain_scores_gemma":[0.99974173,0.00006668096,0.000046470086,0.000034789526,0.00008501081,0.000025277375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025886117,0.00032637757,0.00023575943,0.0003045314,0.0002864578,0.00031887207,0.00023426511,0.00030037944,0.0007850825],"category_scores_gemma":[0.0005938219,0.00011039263,0.00034787934,0.00019844837,0.0002710471,0.00046361185,0.00029239664,0.00022131317,0.00014447406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040589477,0.00010228731,0.050625447,0.00014405577,0.000071266615,0.0007175163,0.00017757682,0.8175639,0.102556504,0.0011580413,0.0006664833,0.025810987],"study_design_scores_gemma":[0.000021226819,0.00028157423,0.044149056,0.00000965514,0.000048116297,0.00010346966,0.00015618134,0.9286628,0.025394762,0.00052964216,0.0006132617,0.000030255515],"about_ca_topic_score_codex":0.0043418934,"about_ca_topic_score_gemma":0.0028275065,"teacher_disagreement_score":0.0043418934,"about_ca_system_score_codex":0.00023575002,"about_ca_system_score_gemma":0.00033883064,"threshold_uncertainty_score":0.008633256},"labels":[],"label_agreement":null},{"id":"W4285144089","doi":"10.25103/jestr.151.21","title":"New Testing Device for the Grouting Reinforcement Performance of Fractured Rocks","year":2022,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Grouting, Rheology, and Soil Mechanics","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":"McMaster University","funders":"Anhui University of Technology; Anhui University","keywords":"Reinforcement; Geotechnical engineering; Geology; Petroleum engineering; Mining engineering; Engineering; Structural engineering","score_opus":0.0138940992302901,"score_gpt":0.22845960944161034,"score_spread":0.21456551021132025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285144089","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":[0.91247034,0.0007880111,0.0846442,0.00007418033,0.00010690161,0.00024343842,0.00025949025,0.00047607004,0.00093729136],"genre_scores_gemma":[0.89517415,0.00048069033,0.10167423,0.00011037343,0.00004715535,0.00029711606,0.00035129645,0.000059691523,0.0018053864],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883693,0.00010676274,0.00011269038,0.0002525822,0.0006148179,0.0000763247],"domain_scores_gemma":[0.9987716,0.00034906907,0.00023226893,0.00019191841,0.00035690304,0.000098092096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010736577,0.00069009117,0.0004267498,0.00092267327,0.00021738063,0.00028045874,0.0010808762,0.00070843316,0.0011256074],"category_scores_gemma":[0.0011877879,0.0002933032,0.0003475316,0.00032110972,0.00041335847,0.0007256994,0.0005476228,0.0004623924,0.00025910686],"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":[0.00007616166,0.000035952246,0.00075917493,0.00007924689,0.0000053526223,0.00006447146,0.000057053654,0.00016184784,0.9935354,0.00008529986,0.000037654172,0.005102484],"study_design_scores_gemma":[0.00002903859,0.0014771265,0.0074071893,0.000017324297,0.00003992163,0.00031048196,0.00009570255,0.0045138625,0.98432493,0.00009029036,0.0016578141,0.00003644142],"about_ca_topic_score_codex":0.0001789423,"about_ca_topic_score_gemma":0.00038537357,"teacher_disagreement_score":0.0011256074,"about_ca_system_score_codex":0.00020303788,"about_ca_system_score_gemma":0.000145221,"threshold_uncertainty_score":0.0056781173},"labels":[],"label_agreement":null},{"id":"W4296505055","doi":"10.25103/jestr.154.05","title":"Design and Analysis of a Compact Wide-Band BPF using Quarter Wave Transmission Lines","year":2022,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Electric power transmission; Transmission (telecommunications); Electrical engineering; Physics; Computer science; Telecommunications; Electronic engineering; Engineering; Geography","score_opus":0.022708707366471282,"score_gpt":0.25217089406519627,"score_spread":0.22946218669872498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296505055","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":[0.08127715,0.00095702667,0.90986454,0.00019047064,0.00007356089,0.00010700087,0.00010139183,0.00090687006,0.0065220245],"genre_scores_gemma":[0.7018425,0.00104779,0.28832585,0.0000647519,0.00006982413,0.00019354478,0.0001343032,0.00010571389,0.008215744],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977666,0.00002584516,0.000007484777,0.000043692664,0.00012470229,0.000021671682],"domain_scores_gemma":[0.99979645,0.00004967594,0.000056266166,0.000019145042,0.00006803196,0.000010477111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022703363,0.00044856826,0.00049254304,0.00027847718,0.00023915796,0.0006726845,0.0005629148,0.0009392617,0.0014942389],"category_scores_gemma":[0.00031397305,0.0002715621,0.00049666944,0.00025270012,0.00024069748,0.0005458268,0.00011381928,0.00028723723,0.0006962947],"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":[0.00029191803,0.00008041577,0.0008387382,0.00055462937,0.00010932132,0.00071655196,0.0002066092,0.09390494,0.81748074,0.011962447,0.0009642252,0.07288949],"study_design_scores_gemma":[0.000081030215,0.0009553627,0.0023885642,0.00006635403,0.0001164001,0.0012976475,0.000079667974,0.7036807,0.26767978,0.0013890361,0.022211034,0.000054447824],"about_ca_topic_score_codex":0.0012268102,"about_ca_topic_score_gemma":0.00077228167,"teacher_disagreement_score":0.0014942389,"about_ca_system_score_codex":0.0005343854,"about_ca_system_score_gemma":0.0003867397,"threshold_uncertainty_score":0.004998684},"labels":[],"label_agreement":null},{"id":"W4396842857","doi":"10.25103/jestr.172.06","title":"Load Distribution Factors of Simply Supported Concrete T-beam Bridges under Typical Freight Vehicle Loads","year":2024,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Structural engineering; Beam (structure); Automotive engineering; Engineering","score_opus":0.010605294052284877,"score_gpt":0.24228112365428958,"score_spread":0.2316758296020047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396842857","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":[0.9926791,0.000023741959,0.006696437,0.0000056066065,0.0000013985205,0.000006603797,0.000092411436,0.000048709666,0.00044598317],"genre_scores_gemma":[0.9971283,0.000026723023,0.0023131738,0.0000020728844,8.5061924e-7,0.000012102028,0.00020068472,0.000008292961,0.00030770703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998043,0.000017240001,0.000014240761,0.000037066595,0.0000952795,0.00003197755],"domain_scores_gemma":[0.99973315,0.00008738073,0.000052384035,0.000019179775,0.000095627634,0.000012287412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038433456,0.00041513905,0.00020155804,0.0015822448,0.00022886558,0.00021440249,0.00029570863,0.00044027372,0.00077398506],"category_scores_gemma":[0.00080268533,0.0002048287,0.00039983925,0.00045959893,0.00021304024,0.00040860655,0.00021428906,0.00011778772,0.0001982235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031570875,0.00018376646,0.16944738,0.00010507128,0.00005941058,0.0005267835,0.00071684923,0.4937271,0.24038659,0.0007229137,0.00068001053,0.093128406],"study_design_scores_gemma":[0.000014632761,0.0003179082,0.19578937,0.0000194994,0.000040024865,0.00024940958,0.00048654544,0.7479007,0.0539513,0.00027881344,0.00089159387,0.000060243372],"about_ca_topic_score_codex":0.008928963,"about_ca_topic_score_gemma":0.0144294165,"teacher_disagreement_score":0.008928963,"about_ca_system_score_codex":0.00037155577,"about_ca_system_score_gemma":0.0002916335,"threshold_uncertainty_score":0.017753959},"labels":[],"label_agreement":null}]}