{"meta":{"query_hash":"740613e436f4","filters":{"venue":"Results in Engineering"},"cohort_total":184,"direct_labels_cover":1,"predictions_cover":184,"exported":184,"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/740613e436f4","api":"https://metacan.xera.ac/api/v1/cohort?venue=Results+in+Engineering"},"results":[{"id":"W3012611513","doi":"10.1016/j.rineng.2020.100114","title":"Visualization of acoustically-assisted fluid flow in unconsolidated confined porous media","year":2020,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Porous medium; Materials science; Porosity; Nanofluid; Work (physics); Flow (mathematics); Petroleum engineering; Geotechnical engineering; Acoustics; Geology; Mechanics; Composite material; Nanoparticle; Nanotechnology; Engineering; Mechanical engineering; Physics","score_opus":0.016953418769055494,"score_gpt":0.23393120688400607,"score_spread":0.21697778811495058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012611513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97188246,0.00031712308,0.02426614,0.0005838464,0.00040007153,0.0002907076,0.0001755921,0.00014630325,0.0019377617],"genre_scores_gemma":[0.99458224,0.00002395035,0.0051452247,0.000054113978,0.00006667812,6.7276363e-7,0.00011884288,0.000003369608,0.0000049159107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899954,0.00005424658,0.0003784131,0.00018749444,0.00016018059,0.00022013544],"domain_scores_gemma":[0.9992685,0.00048737112,0.000038663613,0.0000733121,0.000025832102,0.00010636103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000198306,0.000099772595,0.00022876772,0.00009139118,0.000008005156,0.000008901038,0.00010895118,0.00007156675,0.000090282636],"category_scores_gemma":[0.00183102,0.000088411965,0.000023263327,0.0009631265,0.00001594915,0.000052622985,0.000008172557,0.0001314853,0.00001478755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031496387,0.00004500702,0.0030712264,0.00010412023,0.0000102012045,0.00005680481,0.0005282575,0.8499161,0.0071491045,0.000078858255,0.0000451642,0.1386802],"study_design_scores_gemma":[0.000671084,0.00009179099,0.17133571,0.00004571488,0.0000039310207,0.0000010317232,0.000014995481,0.8257187,0.0018205006,0.000039955266,0.00015070733,0.00010586086],"about_ca_topic_score_codex":0.00026204195,"about_ca_topic_score_gemma":0.00012806182,"teacher_disagreement_score":0.1682645,"about_ca_system_score_codex":0.0000042931633,"about_ca_system_score_gemma":0.000022449596,"threshold_uncertainty_score":0.36053354},"labels":[],"label_agreement":null},{"id":"W3080630377","doi":"10.1016/j.rineng.2020.100165","title":"The effect of torrefaction pre-treatment on the pyrolysis of corn cobs","year":2020,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"BioFuelNet Canada","keywords":"Torrefaction; Pyrolysis; Raw material; Pulp and paper industry; Biofuel; Waste management; Materials science; Chemistry; Organic chemistry","score_opus":0.006164493397647527,"score_gpt":0.19679403307778712,"score_spread":0.1906295396801396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080630377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99888706,0.00022599875,0.00013137453,0.00014321192,0.00011631568,0.00016592522,0.000014126718,0.00008869669,0.00022731315],"genre_scores_gemma":[0.999828,0.000082961684,0.00001884212,0.0000031583618,0.000024937108,0.000017516699,0.0000024130827,0.000014961915,0.000007213739],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994281,0.00001561712,0.00022415079,0.00009422905,0.00012045672,0.00011747321],"domain_scores_gemma":[0.99895495,0.00079634634,0.00003752464,0.00016967967,0.000011535054,0.000029932742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112166694,0.00011453475,0.00015505924,0.00002815064,0.000014134591,0.0000059026174,0.00014626648,0.00004594301,0.000004100303],"category_scores_gemma":[0.00029622146,0.00006428446,0.00005436659,0.0002352229,0.000017657181,0.000025791825,0.000017593868,0.0000911762,0.000003875036],"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":[0.0003134758,0.00000864169,0.00015457888,0.00022878664,0.000093740826,0.0000015581218,0.0005374189,0.15559766,0.83549476,0.000045052508,0.000093294075,0.0074310405],"study_design_scores_gemma":[0.00041234714,0.00018173168,0.0002825729,0.000059204714,0.000012773747,2.5325005e-7,0.000026126329,0.027378783,0.97115684,0.0000011782702,0.00043081044,0.000057390323],"about_ca_topic_score_codex":0.00000690415,"about_ca_topic_score_gemma":9.472731e-7,"teacher_disagreement_score":0.13566208,"about_ca_system_score_codex":0.00006367846,"about_ca_system_score_gemma":0.000004006924,"threshold_uncertainty_score":0.26214442},"labels":[],"label_agreement":null},{"id":"W3083993403","doi":"10.1016/j.rineng.2020.100168","title":"Non-linear finite-element investigation of the parameters affecting externally-bonded FRP flexural-strengthened RC beams","year":2020,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"United Arab Emirates University","keywords":"Fibre-reinforced plastic; Flexural strength; Materials science; Beam (structure); Structural engineering; Finite element method; Deflection (physics); Parametric statistics; Composite material; Engineering; Physics; Mathematics","score_opus":0.016873753033368143,"score_gpt":0.22060041821628631,"score_spread":0.20372666518291818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083993403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937508,0.00004291288,0.00505238,0.00009507266,0.00039652397,0.00032590347,0.00001880945,0.00018749424,0.00013007729],"genre_scores_gemma":[0.9894129,0.000012337273,0.0103746,0.000029409455,0.00007927427,0.000017201597,0.000015866806,0.000047900136,0.00001048008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858993,0.000015128701,0.00057318684,0.0002222668,0.00027364618,0.00032581913],"domain_scores_gemma":[0.99924314,0.00022497917,0.00009899304,0.0002968801,0.0000260986,0.000109904824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013543935,0.00025691913,0.00026886823,0.000096242235,0.000025990525,0.00002274686,0.00033781453,0.00010203749,0.000005540219],"category_scores_gemma":[0.000361256,0.00022566243,0.00010749162,0.00046329293,0.000026961723,0.0001472261,0.00008179482,0.0003781783,0.000004809137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016200094,2.8718048e-7,0.00048638709,0.00011655994,0.000021249189,0.0000033832353,0.0015340126,0.90468323,0.09202455,0.000009318575,0.000008872827,0.001095957],"study_design_scores_gemma":[0.00068154157,0.000036338766,0.003095105,0.00019801522,0.0000149883535,0.0000017514284,0.00007127437,0.6412673,0.3543934,0.000004134923,0.00004109826,0.0001950419],"about_ca_topic_score_codex":0.0000618904,"about_ca_topic_score_gemma":0.0000024196613,"teacher_disagreement_score":0.2634159,"about_ca_system_score_codex":0.0001087744,"about_ca_system_score_gemma":0.000016068225,"threshold_uncertainty_score":0.9202247},"labels":[],"label_agreement":null},{"id":"W3156067663","doi":"10.1016/j.rineng.2021.100220","title":"Conceptual design of controllers for automated modular construction machines","year":2021,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Quality function deployment; Modular design; Conceptual design; Control engineering; Computer science; Decoupling (probability); Software; Systems engineering; Engineering","score_opus":0.009967658981920884,"score_gpt":0.20651434648979447,"score_spread":0.19654668750787357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156067663","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028775323,0.0004043017,0.9695546,0.000012465187,0.00036844244,0.00020013707,0.000036750887,0.00048821012,0.00015974793],"genre_scores_gemma":[0.91847765,0.000072943876,0.081320085,0.0000023626765,0.00003237963,0.0000242047,0.000033697394,0.000023265691,0.000013385805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938154,0.0000083785935,0.0002795471,0.000117132,0.00006749079,0.00014589263],"domain_scores_gemma":[0.9996895,0.00010708362,0.000029245772,0.00009786249,0.00005125931,0.000025033754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106856176,0.000104231,0.00018341851,0.000088655004,0.00001237,0.000011419923,0.000048868224,0.00006967027,0.000004240193],"category_scores_gemma":[0.00016273487,0.00011479538,0.00003072972,0.00013753938,0.000013960872,0.00007185239,0.0000074366194,0.00006339799,3.7582262e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028951685,0.0000054600537,0.00001034863,0.00013369134,0.000023259994,0.0000024796464,0.00016974547,0.9925343,0.0059215506,0.0002292881,0.000028404696,0.00091251906],"study_design_scores_gemma":[0.0014080332,0.000012266266,0.000119486875,0.000069829926,0.0000071523787,0.000003918807,0.00004040524,0.9572929,0.040740274,0.000018491097,0.00017756398,0.00010966519],"about_ca_topic_score_codex":0.0000028165234,"about_ca_topic_score_gemma":9.5227864e-7,"teacher_disagreement_score":0.8897024,"about_ca_system_score_codex":0.0000353967,"about_ca_system_score_gemma":0.000015108047,"threshold_uncertainty_score":0.46812198},"labels":[],"label_agreement":null},{"id":"W4283375650","doi":"10.1016/j.rineng.2022.100476","title":"Experimental validation of numerical two-phase flow in a horizontal separator","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiphase flow; Separator (oil production); Mechanics; Piping; Two-phase flow; Particle image velocimetry; Petroleum engineering; Velocimetry; Gravity separation; Flow (mathematics); Materials science; Engineering; Mechanical engineering; Turbulence; Physics; Thermodynamics","score_opus":0.006449262332975768,"score_gpt":0.2443803104069404,"score_spread":0.23793104807396462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283375650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884719,0.00029226762,0.010049397,0.000004097948,0.00042546142,0.00013430584,0.00005986795,0.00009444335,0.00046821666],"genre_scores_gemma":[0.99757344,0.0000041683925,0.0022456418,0.0000018604037,0.00003462947,0.000058061385,0.000045223158,0.000031719934,0.0000052764235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991132,0.0000148087975,0.00035227998,0.00014649937,0.00015621088,0.00021701258],"domain_scores_gemma":[0.9997717,0.000035628902,0.000019365785,0.000130482,0.000005277622,0.000037554604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019087725,0.00011889634,0.00017415936,0.00023629604,0.000016508526,0.000008272468,0.000107625965,0.000026914247,0.000016088869],"category_scores_gemma":[0.000022939234,0.00015268616,0.000037829683,0.00037653028,0.0000046812506,0.00008346544,0.00005915432,0.00021729199,0.0000015132808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028949931,0.00007035863,0.000043395677,0.000018877226,0.0000057344305,0.000021996399,0.000712708,0.86514366,0.13346574,0.00009441351,0.000017480637,0.00037666445],"study_design_scores_gemma":[0.0021895508,0.00007712101,0.00008789686,0.000023020624,0.0000015026524,0.000007547116,0.00014232511,0.94859326,0.048504114,0.0000025158959,0.00022490195,0.00014623604],"about_ca_topic_score_codex":0.000036653793,"about_ca_topic_score_gemma":0.0000027859576,"teacher_disagreement_score":0.08496162,"about_ca_system_score_codex":0.00031290864,"about_ca_system_score_gemma":0.000011833299,"threshold_uncertainty_score":0.6226361},"labels":[],"label_agreement":null},{"id":"W4285023898","doi":"10.1016/j.rineng.2022.100507","title":"The numerical investigation of combustion performance of scramjet combustor with variation in angle of attack","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; National Institute of Technology, Silchar","keywords":"Scramjet; Combustor; Mechanics; Combustion; Angle of attack; Reynolds-averaged Navier–Stokes equations; Aerospace engineering; Turbulence; Engineering; Physics; Aerodynamics; Chemistry","score_opus":0.006073994021204954,"score_gpt":0.18445431393951325,"score_spread":0.1783803199183083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285023898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99031335,0.00005464603,0.009347041,0.000018984183,0.0000947908,0.000100539044,0.000025616393,0.00001564056,0.00002939848],"genre_scores_gemma":[0.99824643,0.000023382881,0.0016691469,9.2955975e-7,0.000006212529,0.000010253293,0.0000297356,0.000011491582,0.0000024303247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992925,0.000016838942,0.00035396626,0.0000683833,0.00017978971,0.00008855484],"domain_scores_gemma":[0.9996412,0.00014641447,0.00006671563,0.000098376775,0.000034877947,0.0000124083035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029433423,0.000064229884,0.00012247074,0.00012549503,0.000017794302,0.000002748561,0.0000913165,0.000019747447,6.8466795e-7],"category_scores_gemma":[0.0000313636,0.000060514907,0.000014887109,0.0005072706,0.00001565416,0.000054636315,0.000026171725,0.00013524505,6.876607e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004832689,0.000013426551,0.0037604996,0.00009254204,0.0000070461256,3.6508257e-7,0.00036795027,0.9905391,0.0042156647,0.00061666255,0.0000031458273,0.0003353018],"study_design_scores_gemma":[0.0004090161,0.00006866419,0.13380043,0.00005783412,0.0000023120683,0.0000011045682,0.000028516588,0.86519367,0.00036532097,0.000012079134,0.00000997769,0.0000510709],"about_ca_topic_score_codex":0.000029006049,"about_ca_topic_score_gemma":0.000015950402,"teacher_disagreement_score":0.13003995,"about_ca_system_score_codex":0.0001095588,"about_ca_system_score_gemma":0.000019940426,"threshold_uncertainty_score":0.24677263},"labels":[],"label_agreement":null},{"id":"W4286515860","doi":"10.1016/j.rineng.2022.100551","title":"A systematic analysis of foam drainage: Experiment and model","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Asymptote; Materials science; Drainage; Dissipation; Exponential function; Mechanics; Volume (thermodynamics); Power function; Composite material; Thermodynamics; Mathematics; Physics","score_opus":0.011890428106725205,"score_gpt":0.2458201767524716,"score_spread":0.2339297486457464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286515860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99073976,0.00018661589,0.008764108,0.000008893242,0.000045184846,0.00011507364,0.000023172983,0.000023725246,0.000093468356],"genre_scores_gemma":[0.99842453,0.0000025236634,0.0014857723,0.0000023535615,0.0000021979176,0.000055478587,0.0000033927047,0.000004807643,0.000018924207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993569,0.00002819338,0.00026549387,0.00012095869,0.00013146583,0.00009696136],"domain_scores_gemma":[0.99969363,0.00007224721,0.00004915011,0.00015343833,0.000009984128,0.000021553955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004317223,0.000048726895,0.00017476187,0.00019593681,0.000031257332,0.000009750477,0.0000664285,0.000009603255,0.000008572189],"category_scores_gemma":[0.00012444382,0.000047662194,0.000023156288,0.00044886567,0.0000071590916,0.000040866136,0.00008241046,0.000031898475,2.7066682e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007647883,0.000014521525,0.000014673961,0.00033796116,0.000010588494,9.3665676e-7,0.0016721837,0.7501815,0.24733269,0.00042012546,9.147733e-7,0.000006245084],"study_design_scores_gemma":[0.0001714839,0.000015920306,0.00022325706,0.000098343655,0.00003898234,6.688139e-7,0.0002666429,0.9807181,0.01839987,0.000013396678,0.0000018729173,0.00005147951],"about_ca_topic_score_codex":0.00002188763,"about_ca_topic_score_gemma":0.0000035326218,"teacher_disagreement_score":0.23053657,"about_ca_system_score_codex":0.000050400246,"about_ca_system_score_gemma":0.000006578737,"threshold_uncertainty_score":0.19436078},"labels":[],"label_agreement":null},{"id":"W4290851736","doi":"10.1016/j.rineng.2022.100563","title":"To extract geothermal energy from low-permeability reservoirs: Development and simulation of cyclic water injection (CWI)- and water-assisted gravity drainage (WAGD)-based processes","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Petroleum Technology Research Centre; University of Regina","keywords":"Petroleum engineering; Geothermal energy; Geothermal gradient; Injector; Environmental science; Permeability (electromagnetism); Extraction (chemistry); Hydraulic fracturing; Water extraction; Geology; Engineering; Geophysics; Mechanical engineering; Chemistry","score_opus":0.014512550291418676,"score_gpt":0.24472643252572093,"score_spread":0.23021388223430225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290851736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9250303,0.000106410305,0.074260585,0.00002080685,0.00013384357,0.00017542079,0.000033100852,0.00019605656,0.000043505137],"genre_scores_gemma":[0.9911607,0.0000035855946,0.008549764,0.0000060268558,0.000034153356,0.00007963221,0.000101382175,0.000048946426,0.00001581505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844635,0.00007402996,0.00054527353,0.0003381068,0.00026102387,0.00033523038],"domain_scores_gemma":[0.9992674,0.00030722938,0.000027866066,0.00025031166,0.000047976722,0.00009919648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067611807,0.00023386408,0.00028669005,0.00035424854,0.000085215484,0.000036243706,0.000121167956,0.00008430671,0.000013225354],"category_scores_gemma":[0.00018834198,0.00021094069,0.000027283424,0.0003023605,0.000015017518,0.00015860164,0.000100442754,0.0002190494,4.634021e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112488655,0.000036223944,0.000437154,0.0003964604,0.000018540053,0.0000053383474,0.001953128,0.94539106,0.048813984,0.0000018528759,9.591234e-7,0.002832817],"study_design_scores_gemma":[0.0008673986,0.00004662309,0.016988654,0.00008474944,0.0000059583845,0.000001599635,0.00006070083,0.8852132,0.095448956,0.000020418214,0.000995318,0.0002664247],"about_ca_topic_score_codex":0.00012604005,"about_ca_topic_score_gemma":0.000040351595,"teacher_disagreement_score":0.06613043,"about_ca_system_score_codex":0.00019133736,"about_ca_system_score_gemma":0.000017612634,"threshold_uncertainty_score":0.86019117},"labels":[],"label_agreement":null},{"id":"W4293565822","doi":"10.1016/j.rineng.2022.100533","title":"Studying and evaluation physical characteristic of composite substrate chip and, its application","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","keywords":"Materials science; Dielectric; Graphene; Composite number; Optoelectronics; Fluidics; Substrate (aquarium); Chip; Composite material; Electrical impedance; Electronic engineering; Nanotechnology; Computer science; Electrical engineering; Telecommunications","score_opus":0.017845155385633325,"score_gpt":0.2439450641719529,"score_spread":0.22609990878631958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293565822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987287,0.0001635979,0.00065481715,0.000004035019,0.00014799267,0.00013111653,0.000024342271,0.000074884185,0.00007050393],"genre_scores_gemma":[0.99962664,0.000028954328,0.00019614099,9.685896e-7,0.000041618292,0.000058010286,0.000028356237,0.00001766793,0.000001617585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994338,0.000020549895,0.00019308711,0.00012280204,0.000116326715,0.00011343476],"domain_scores_gemma":[0.9997777,0.000076412885,0.000032424585,0.00007465179,0.000013431248,0.000025393367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024417773,0.0000863573,0.00014173579,0.0000740107,0.000030542258,0.000008040629,0.000040535335,0.000014879272,8.8107697e-7],"category_scores_gemma":[0.00004614748,0.00010202087,0.0000085186975,0.00011564575,0.0000045959273,0.00006781778,0.000031697997,0.00009070859,3.0168826e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000112931,0.0000067637025,0.000049421426,0.00006509852,0.000004352347,6.9138673e-7,0.00030338534,0.6376543,0.36041483,0.00007885357,1.7296978e-7,0.0014108309],"study_design_scores_gemma":[0.0004984127,0.000019075924,0.024250966,0.000028974813,0.000009775921,0.000004576431,0.00003707932,0.95030224,0.02467031,0.000028541974,0.000039673832,0.000110378496],"about_ca_topic_score_codex":0.000005034223,"about_ca_topic_score_gemma":7.695606e-7,"teacher_disagreement_score":0.33574453,"about_ca_system_score_codex":0.000040807754,"about_ca_system_score_gemma":0.0000024508201,"threshold_uncertainty_score":0.41602904},"labels":[],"label_agreement":null},{"id":"W4294578289","doi":"10.1016/j.rineng.2022.100613","title":"Modelling epidural space heat transfer with air cooling via catheter insertion for spinal cord injury treatment","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Guelph; University of New Brunswick","funders":"University of Guelph","keywords":"Epidural space; Spinal cord; Medicine; Spinal cord injury; Catheter; Anesthesia; Water cooling; Subdural space; Surgery; Mechanical engineering; Engineering","score_opus":0.04536008804918872,"score_gpt":0.3275885484343739,"score_spread":0.2822284603851852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294578289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8236198,0.00017601,0.17466295,0.000371455,0.00011151336,0.0008829691,0.000042708678,0.000084421474,0.00004817083],"genre_scores_gemma":[0.99414593,0.000034667,0.004974417,0.00003826937,0.00013431275,0.00043410066,0.000058441452,0.00006223953,0.00011764886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984873,0.000025662197,0.00032055998,0.00035942052,0.00034084797,0.00046621583],"domain_scores_gemma":[0.99949193,0.000060331357,0.000012101695,0.00026129794,0.000056450095,0.000117902426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003146779,0.00021320964,0.00030920937,0.00032828783,0.00010238124,0.0000108939275,0.00009047623,0.000048540995,0.000008569688],"category_scores_gemma":[0.000027166812,0.00018747742,0.00009477428,0.00036956454,0.000017405928,0.000086678265,0.000027308672,0.0003465582,0.000002168514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.08691052,0.00021812895,0.00016079127,0.0001471582,0.00006204988,0.00007039628,0.00022184571,0.88526475,0.02203872,0.00003540691,0.0000082956585,0.004861933],"study_design_scores_gemma":[0.004813449,0.030390589,0.0005554228,0.0002399835,0.000053994794,0.00012167808,0.000138241,0.9374866,0.023340946,0.00000511202,0.0025813095,0.00027268674],"about_ca_topic_score_codex":0.000281949,"about_ca_topic_score_gemma":0.000012166374,"teacher_disagreement_score":0.1705261,"about_ca_system_score_codex":0.00083376415,"about_ca_system_score_gemma":0.000086161344,"threshold_uncertainty_score":0.7645107},"labels":[],"label_agreement":null},{"id":"W4294676841","doi":"10.1016/j.rineng.2022.100629","title":"The flash point of elemental sulfur: Effect of heating rates, hydrogen sulfide, and hydrocarbons","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Combustion and Detonation Processes","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":"Flash point; Hydrogen sulfide; Sulfur; Flash (photography); Chemistry; Hydrogen; Sulfide; Analytical Chemistry (journal); Materials science; Inorganic chemistry; Environmental chemistry; Organic chemistry","score_opus":0.0037548399573552704,"score_gpt":0.2064367064683476,"score_spread":0.20268186651099235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294676841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967845,0.0016706352,0.00026783624,0.000025729998,0.00012810022,0.000151535,0.00002361005,0.00008152738,0.00086652953],"genre_scores_gemma":[0.99965763,0.00013873159,0.00010939677,0.0000023970606,0.000011541851,0.000032637552,0.000009971263,0.000018462913,0.000019227666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991804,0.00002679589,0.0003724739,0.00009981895,0.00017133444,0.00014921],"domain_scores_gemma":[0.99935985,0.0004355516,0.000044853587,0.00012160601,0.000009639505,0.00002851543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005683257,0.0001021148,0.00015666184,0.00012751766,0.000051112675,0.0000087559565,0.000105404164,0.000019300664,0.0000051294937],"category_scores_gemma":[0.00018720595,0.000092354814,0.00003068485,0.0003230013,0.000016145088,0.000050987805,0.00007873722,0.00015397105,3.7859252e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005724139,0.00001108634,0.0008689355,0.00019133081,0.000032770706,0.0000030470185,0.000454573,0.95951796,0.034291577,0.00034373908,0.00006613451,0.004161608],"study_design_scores_gemma":[0.0016221673,0.00015178997,0.0010771693,0.000080637736,0.000010184992,0.000016768112,0.00023012582,0.736766,0.25751895,0.000054495853,0.002286243,0.00018547411],"about_ca_topic_score_codex":0.00001668397,"about_ca_topic_score_gemma":0.000010333375,"teacher_disagreement_score":0.22322737,"about_ca_system_score_codex":0.00006082801,"about_ca_system_score_gemma":0.000009603193,"threshold_uncertainty_score":0.376612},"labels":[],"label_agreement":null},{"id":"W4295971919","doi":"10.1016/j.rineng.2022.100635","title":"Simulation of stability or failure of a combustion front during in-situ combustion in a Post-SAGD process","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatchewan Research Council (Canada); University of Regina","funders":"Saskatchewan Research Council; Natural Sciences and Engineering Research Council of Canada; Mitacs; Petroleum Technology Research Centre; University of Regina","keywords":"Combustion; Petroleum engineering; Saturation (graph theory); Residual oil; API gravity; Boiler (water heating); Enhanced oil recovery; Environmental science; Chemistry; Nuclear engineering; Waste management; Geology; Engineering; Crude oil; Organic chemistry","score_opus":0.00923979217446141,"score_gpt":0.2353203463816295,"score_spread":0.22608055420716808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295971919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993715,0.00007090559,0.0003050516,0.000024289608,0.000015728458,0.000024262677,0.000037264857,0.000029464412,0.00012150277],"genre_scores_gemma":[0.9997051,0.0000035963499,0.00016181858,9.1205135e-7,0.000011114895,0.000021098915,0.000052287975,0.000011856746,0.00003223165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877596,0.000023719042,0.00057219807,0.00021912986,0.00024282021,0.00016619786],"domain_scores_gemma":[0.9994622,0.00012800666,0.0001633276,0.00016734617,0.00005776711,0.00002133828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003624938,0.00010907178,0.0002676676,0.00031163165,0.000022828146,0.000006038133,0.00012223433,0.00006420451,0.000028494738],"category_scores_gemma":[0.00053194043,0.00011745329,0.000039029223,0.0005382402,0.000012311718,0.00011457055,0.000048933012,0.00030705106,1.3296275e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037452366,0.00013569511,0.006252891,0.00082813203,0.000007381448,0.000006302892,0.0016501795,0.7811922,0.20912278,7.585059e-7,7.6125666e-8,0.0004290934],"study_design_scores_gemma":[0.0025500348,0.000031484167,0.013426599,0.000591965,0.000015496553,0.0000018019765,0.002543132,0.8456664,0.13498445,0.00000585148,0.000005116787,0.00017765252],"about_ca_topic_score_codex":0.000116454954,"about_ca_topic_score_gemma":0.00038808558,"teacher_disagreement_score":0.074138336,"about_ca_system_score_codex":0.000284253,"about_ca_system_score_gemma":0.00005337415,"threshold_uncertainty_score":0.4789606},"labels":[],"label_agreement":null},{"id":"W4303649470","doi":"10.1016/j.rineng.2022.100692","title":"Parametric investigation of internal Y-shaped fin configurations under natural convection in a concentric annulus","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fin; Annular fin; Natural convection; Nusselt number; Mechanics; Heat transfer; Enclosure; Materials science; Thermodynamics; Convective heat transfer; Heat transfer coefficient; Physics; Reynolds number; Turbulence; Engineering; Composite material","score_opus":0.009596811380496326,"score_gpt":0.20784241367629902,"score_spread":0.19824560229580268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303649470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9400458,0.0004014505,0.058150955,0.00004701143,0.0006428275,0.00026053196,0.00003679905,0.00013606093,0.00027857162],"genre_scores_gemma":[0.9993831,0.0000383794,0.00041795138,0.000014243439,0.000019995061,0.000040462735,0.00005940807,0.000017808175,0.0000086511545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990948,0.000034374043,0.00041870994,0.00012778827,0.00015140504,0.00017295028],"domain_scores_gemma":[0.99971825,0.00011937021,0.000019332108,0.000087726316,0.00002247686,0.000032860393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020444003,0.00010225259,0.00014517027,0.00050225685,0.000020690055,0.000011494724,0.000081737584,0.000043041666,0.000016394586],"category_scores_gemma":[0.00008228428,0.00012652727,0.00002737977,0.0013949204,0.000011054301,0.00013649078,0.000012937697,0.0003289334,0.0000010179714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021530244,0.000009711205,0.0010054704,0.000043125503,0.0000077718405,0.0000040527043,0.0008168121,0.98877,0.008837014,0.00019373988,0.00001189972,0.0002788687],"study_design_scores_gemma":[0.0011461213,0.000026059839,0.023806665,0.000040580195,0.0000037824511,0.000006246975,0.00014300806,0.9703997,0.0042219083,0.000020752996,0.000064183296,0.00012099373],"about_ca_topic_score_codex":0.00008210124,"about_ca_topic_score_gemma":0.00003156004,"teacher_disagreement_score":0.05933731,"about_ca_system_score_codex":0.00029362176,"about_ca_system_score_gemma":0.00002594795,"threshold_uncertainty_score":0.51596326},"labels":[],"label_agreement":null},{"id":"W4303684799","doi":"10.1016/j.rineng.2022.100690","title":"Digital mock-ups as support tools for preventing risks related to energy sources in the operation stage of industrial facilities through design","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automation; Hazardous waste; Risk analysis (engineering); Product (mathematics); Systems engineering; Engineering; Computer science; Control (management); Software; Manufacturing engineering; Software engineering","score_opus":0.04682662701859045,"score_gpt":0.248593663783606,"score_spread":0.20176703676501556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303684799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88654935,0.00011697362,0.10719561,0.00007884528,0.000759536,0.00084643665,0.0004148544,0.00017704029,0.0038613423],"genre_scores_gemma":[0.9985783,0.000008532222,0.00048302652,0.0000055321243,0.000036440568,0.00024305037,0.00007173481,0.000016749622,0.0005566145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999027,0.000034841247,0.0004597068,0.00013635248,0.00016700775,0.0001750791],"domain_scores_gemma":[0.9995665,0.00024013982,0.000038063718,0.00012303874,0.000016527656,0.000015735654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040351754,0.00011330024,0.00013629966,0.00014215673,0.00004913943,0.0000787955,0.00014323094,0.0000673679,0.000024324472],"category_scores_gemma":[0.00026207918,0.00010890459,0.00004101256,0.00029708783,0.000008384823,0.00037790855,0.000027926653,0.00021212776,7.7486476e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005079072,0.000009937097,0.0000611676,0.000019308374,0.000012303253,0.0000015808464,0.0036161828,0.98113066,0.00067328685,0.0022804576,0.00006604068,0.012078283],"study_design_scores_gemma":[0.0046843626,0.0007180189,0.00033225617,0.00020400403,0.000020717607,0.000045938283,0.030374354,0.82727104,0.041555885,0.0010333688,0.092899166,0.0008609074],"about_ca_topic_score_codex":0.00007958542,"about_ca_topic_score_gemma":0.000013332897,"teacher_disagreement_score":0.15385965,"about_ca_system_score_codex":0.00009950121,"about_ca_system_score_gemma":0.000029758463,"threshold_uncertainty_score":0.44410002},"labels":[],"label_agreement":null},{"id":"W4309772930","doi":"10.1016/j.rineng.2022.100785","title":"Adaptive SVSF-KF estimation strategies based on the normalized innovation square metric and IMM strategy","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Robustness (evolution); Kalman filter; Control theory (sociology); Metric (unit); Computer science; Engineering","score_opus":0.011988085286249419,"score_gpt":0.21636422844980366,"score_spread":0.20437614316355424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309772930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7395575,0.0009032373,0.2357076,0.00036094084,0.0016961031,0.0018170996,0.00018366612,0.0015603474,0.018213475],"genre_scores_gemma":[0.9995243,0.000004777867,0.00019257206,0.000016897953,0.000031348052,0.00016476912,0.000020180754,0.000023629678,0.000021505584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990929,0.000046354202,0.00032019583,0.00014479036,0.00022016969,0.00017559275],"domain_scores_gemma":[0.9995607,0.00019781216,0.00004304831,0.00015452155,0.00002386969,0.000020043622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045502133,0.00014282641,0.00013607288,0.00052048947,0.00008654215,0.00007003782,0.000089362846,0.000041594703,0.000013026324],"category_scores_gemma":[0.000098734046,0.00012818682,0.000022234535,0.0014043929,0.0000072814296,0.00013721955,0.000015494728,0.0003163719,0.000002437842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059928756,0.000007799127,0.0000057750544,0.000033600754,0.000010733297,0.0000037206614,0.00016119596,0.991787,0.0013192109,0.002953386,0.000034733446,0.0036228728],"study_design_scores_gemma":[0.0008981048,0.000093797375,0.0010895593,0.000032889915,0.0000036998774,0.000003854457,0.0009104715,0.99590015,0.00041504612,0.000033120763,0.00047961422,0.00013967337],"about_ca_topic_score_codex":0.000044829732,"about_ca_topic_score_gemma":0.000008749135,"teacher_disagreement_score":0.2599668,"about_ca_system_score_codex":0.00016208587,"about_ca_system_score_gemma":0.000019450043,"threshold_uncertainty_score":0.52273065},"labels":[],"label_agreement":null},{"id":"W4311817918","doi":"10.1016/j.rineng.2022.100838","title":"Investigation of second grade viscoelastic non-Newtonian nanofluid flow on the curve stretching surface in presence of MHD","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Nanofluid; Mechanics; Non-Newtonian fluid; Newtonian fluid; Mass transfer; Heat transfer; Viscoelasticity; Thermodynamics; Materials science; Drag; Magnetohydrodynamics; Fluid dynamics; Churchill–Bernstein equation; Joule heating; Schmidt number; Nusselt number; Physics; Reynolds number; Composite material","score_opus":0.01194270053423513,"score_gpt":0.19653413156477742,"score_spread":0.1845914310305423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311817918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99711305,0.00024039266,0.0015813889,0.00006489861,0.00033353045,0.0002716543,0.000128494,0.000048431404,0.00021817155],"genre_scores_gemma":[0.99917394,0.000040024795,0.0006645777,0.0000063534812,0.000022267965,0.000026484424,0.000014891191,0.000036506113,0.000014954107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866724,0.00005065082,0.0005379538,0.00018868542,0.00028094475,0.0002745489],"domain_scores_gemma":[0.99918586,0.0004586489,0.000025413123,0.00027218947,0.000015198963,0.000042689244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005267882,0.00017544864,0.00025296398,0.00023382202,0.000031149197,0.00000876447,0.0002606719,0.000057799774,0.000025461217],"category_scores_gemma":[0.00007513341,0.00016837554,0.00005074263,0.00061799015,0.000024355772,0.00010181893,0.000041832012,0.00047958887,0.000001275731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019589996,0.000012388459,0.00083397777,0.00019317516,0.000011437558,0.000005583055,0.0026492805,0.7900857,0.20593277,0.00013554496,0.00006825644,0.0000523041],"study_design_scores_gemma":[0.00067923457,0.00007825851,0.008867658,0.0003413694,0.0000045665906,0.0000021211797,0.0001717374,0.8342126,0.15535933,0.00003192829,0.000080875354,0.000170334],"about_ca_topic_score_codex":0.00008579871,"about_ca_topic_score_gemma":0.000109625376,"teacher_disagreement_score":0.05057344,"about_ca_system_score_codex":0.0001267141,"about_ca_system_score_gemma":0.000031691805,"threshold_uncertainty_score":0.6866155},"labels":[],"label_agreement":null},{"id":"W4316194119","doi":"10.1016/j.rineng.2023.100896","title":"Estimation of comprehensive thermal performance for conjugate natural convection inside a dome-shaped porous chamber holding a solid cylinder","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Bangladesh University of Engineering and Technology","keywords":"Heat transfer; Nusselt number; Mechanics; Materials science; Natural convection; Thermal conduction; Cylinder; Heat transfer coefficient; Convective heat transfer; Darcy number; Convection; Thermodynamics; Rayleigh number; Physics; Mechanical engineering; Composite material; Engineering; Turbulence; Reynolds number","score_opus":0.015949039025277407,"score_gpt":0.242518899939611,"score_spread":0.2265698609143336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316194119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98677206,0.0001850578,0.011379135,0.000016566439,0.0007058734,0.00037802797,0.00002893744,0.00043187337,0.00010246924],"genre_scores_gemma":[0.9986908,0.00016850223,0.00083499413,0.000008662584,0.00009245963,0.000066283836,0.000062745916,0.00005446501,0.00002110116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889505,0.000007127492,0.00043279532,0.00017553812,0.00013798958,0.00035147357],"domain_scores_gemma":[0.99959344,0.0001528298,0.000021987402,0.00013829209,0.000053431453,0.00004004704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016357921,0.00018976942,0.00027702676,0.000320849,0.00003357506,0.000015405009,0.000062859996,0.00011020886,0.000002208188],"category_scores_gemma":[0.00002713964,0.00020060742,0.000060085575,0.0004009516,0.00001542209,0.0002067967,0.000011146282,0.0002074817,0.000009429758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008199457,0.000006086317,0.000023768922,0.00045172984,0.00003138259,0.0000058397495,0.0008157882,0.8166778,0.17968139,0.000041433497,0.000014124733,0.0021686463],"study_design_scores_gemma":[0.0017445722,0.00004231547,0.0074116793,0.00023323082,0.00001048351,0.0000087789285,0.00004700447,0.9301998,0.06001137,0.0000037154662,0.00008597928,0.00020104447],"about_ca_topic_score_codex":0.000010046268,"about_ca_topic_score_gemma":0.0000055379546,"teacher_disagreement_score":0.11967002,"about_ca_system_score_codex":0.0000768287,"about_ca_system_score_gemma":0.000012312599,"threshold_uncertainty_score":0.81805336},"labels":[],"label_agreement":null},{"id":"W4319066157","doi":"10.1016/j.rineng.2023.100939","title":"Forced, natural and mixed convection of Non-Newtonian fluid flows in a square chamber with moving lid and discrete bottom heating","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Bangladesh University of Engineering and Technology","keywords":"Nusselt number; Grashof number; Natural convection; Richardson number; Mechanics; Film temperature; Thermodynamics; Heat transfer; Forced convection; Combined forced and natural convection; Reynolds number; Heat transfer coefficient; Churchill–Bernstein equation; Buoyancy; Materials science; Physics; Turbulence","score_opus":0.004504863330055194,"score_gpt":0.19793188209245238,"score_spread":0.19342701876239718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319066157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948844,0.0004890308,0.0038680763,0.00002690059,0.00018896378,0.00022966201,0.000015807937,0.00018267999,0.00011452551],"genre_scores_gemma":[0.99791,0.00025265725,0.0016776604,0.0000023785929,0.000047442663,0.000026349391,0.000015138433,0.000048730344,0.000019619853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989785,0.000008975943,0.00033568582,0.00021877716,0.00012231206,0.0003357662],"domain_scores_gemma":[0.9997001,0.00009764561,0.000010414313,0.0001163985,0.000015342941,0.000060089566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020791803,0.00019558222,0.0002758153,0.00036945558,0.000024789953,0.00002303959,0.000039697126,0.00009765815,8.7792085e-7],"category_scores_gemma":[0.00003115922,0.00018830139,0.000023188617,0.00052980514,0.000015345391,0.00018018059,0.000022066873,0.00028313205,8.3806844e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012774825,0.000007330096,0.00424358,0.0013864404,0.0000332834,0.00008519451,0.004085674,0.70975703,0.27756244,0.000035625966,0.000013217684,0.0026624156],"study_design_scores_gemma":[0.0016669821,0.00004941776,0.035448913,0.0009224193,0.00000653654,0.000021485825,0.00020529627,0.94615537,0.01526536,0.000002591263,0.000028829918,0.0002268024],"about_ca_topic_score_codex":0.00013836616,"about_ca_topic_score_gemma":0.00030772138,"teacher_disagreement_score":0.26229706,"about_ca_system_score_codex":0.000054317912,"about_ca_system_score_gemma":0.000009064794,"threshold_uncertainty_score":0.7678708},"labels":[],"label_agreement":null},{"id":"W4319601257","doi":"10.1016/j.rineng.2023.100945","title":"Synthesis and efficacy of cactus-banana peels composite as a natural coagulant for water treatment","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; African Union; Makerere University","keywords":"Turbidity; Response surface methodology; Alum; Composite number; Extraction (chemistry); Central composite design; Pulp and paper industry; Water treatment; Ferric; Chemistry; Environmental engineering; Chromatography; Environmental science; Materials science; Composite material; Biology; Engineering","score_opus":0.009672967646417277,"score_gpt":0.22307936283687757,"score_spread":0.21340639519046029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319601257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993066,0.000040481955,0.000012051739,0.00015824147,0.00007786541,0.0002489237,0.000020375555,0.000043577318,0.00009184421],"genre_scores_gemma":[0.9990202,0.000059666116,0.00035372423,0.0000023673324,0.000014209943,0.00002855221,0.000021010033,0.000012973182,0.00048729373],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933094,0.000007698022,0.00016100849,0.0001816197,0.00008716416,0.00023160057],"domain_scores_gemma":[0.9996717,0.00013459379,0.000022061902,0.00012758165,0.000001903503,0.000042142034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008448167,0.000117438656,0.0001596124,0.00006964901,0.00002937683,0.000009528806,0.000065580825,0.000033857723,0.000006752465],"category_scores_gemma":[0.00002704321,0.000073487114,0.00004167794,0.00009183458,0.000024481185,0.00006128511,0.00004182801,0.000028173326,0.000031188243],"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":[0.00051218504,0.00020730407,0.0047482653,0.00011032895,0.00014290263,0.00010610656,0.005496352,0.22501558,0.75556195,0.00002326982,0.00009170149,0.007984036],"study_design_scores_gemma":[0.0021140631,0.00014467724,0.023259819,0.00009907207,0.000034709083,0.000007364288,0.000039683142,0.017240455,0.9558351,0.000007684079,0.0010462953,0.00017107135],"about_ca_topic_score_codex":0.00030681476,"about_ca_topic_score_gemma":0.00004399561,"teacher_disagreement_score":0.20777512,"about_ca_system_score_codex":0.00009311756,"about_ca_system_score_gemma":0.0000020412506,"threshold_uncertainty_score":0.29967174},"labels":[],"label_agreement":null},{"id":"W4319660398","doi":"10.1016/j.rineng.2023.100947","title":"Optimization of pyrolysis conditions for production of rice husk-based bio-oil as an energy carrier","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Makerere University; Department of Mechanical Engineering, University of Alberta; Volkswagen Foundation; Royal Society of Medicine","keywords":"Husk; Pyrolysis; Heat of combustion; Response surface methodology; Yield (engineering); Biochar; Pulp and paper industry; Central composite design; Fossil fuel; Chemistry; Environmental science; Materials science; Combustion; Composite material; Botany; Chromatography; Organic chemistry","score_opus":0.0077838800915266786,"score_gpt":0.21853302408507747,"score_spread":0.2107491439935508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319660398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826674,0.000087774686,0.015878698,0.00006249828,0.00038800298,0.00009990208,0.00019174791,0.0004937411,0.00013027774],"genre_scores_gemma":[0.99749476,0.00004051895,0.0020448097,0.0000024350995,0.000035299974,0.000047867263,0.00026250357,0.00003204591,0.00003974722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992621,0.0000065938116,0.00030604017,0.00016217175,0.00011281169,0.0001503151],"domain_scores_gemma":[0.99952984,0.000103747254,0.00004788474,0.00018862862,0.00008918737,0.00004072762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012343714,0.00010476679,0.00015781303,0.00035863847,0.000013506259,0.0000043979408,0.000100863115,0.00008477271,0.000006162668],"category_scores_gemma":[0.0003335124,0.00012021548,0.000042870535,0.0009054731,0.000021920572,0.00011699748,0.000010561145,0.000044100478,7.598607e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002289694,0.000010079828,0.000004283396,0.00029233118,0.000012803556,3.4767353e-7,0.000064318556,0.5939338,0.40534565,0.000036437552,0.000038671667,0.00023833239],"study_design_scores_gemma":[0.00032322961,0.000021463968,0.000028395194,0.00006463932,0.000011168893,3.168965e-7,0.000050085768,0.3623024,0.6370074,0.000012358547,0.00009367609,0.00008485246],"about_ca_topic_score_codex":0.000017298209,"about_ca_topic_score_gemma":0.000002285824,"teacher_disagreement_score":0.23166177,"about_ca_system_score_codex":0.000045608816,"about_ca_system_score_gemma":0.000019353543,"threshold_uncertainty_score":0.49022448},"labels":[],"label_agreement":null},{"id":"W4320884126","doi":"10.1016/j.rineng.2023.100965","title":"Low-cost triboelectric nanogenerator based on aseptic carton package","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministério da Ciência, Tecnologia, Inovações e Comunicações; Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Department of Mechanical Engineering, University of Alberta; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade Federal de Santa Maria; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Triboelectric effect; Nanogenerator; Contact electrification; Materials science; Paperboard; Electrical engineering; Voltage; Energy harvesting; Capacitor; Optoelectronics; Nanotechnology; Composite material; Energy (signal processing); Engineering","score_opus":0.01098735347402364,"score_gpt":0.21641754022829007,"score_spread":0.20543018675426644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320884126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97783846,0.000055165503,0.012051625,0.000039958668,0.003368523,0.00031394622,0.00014271928,0.0032646814,0.0029249438],"genre_scores_gemma":[0.9988244,0.00004472805,0.0005276266,0.000020288791,0.00022351394,0.00005607965,0.00010503172,0.00009799489,0.000100319536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863905,0.000019234329,0.00035186386,0.00025459376,0.00017311634,0.00056216813],"domain_scores_gemma":[0.99928415,0.0002605431,0.000022331264,0.00031496995,0.000014804019,0.00010319456],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023929952,0.000246336,0.00024851802,0.000461848,0.00003177617,0.000036940906,0.000131937,0.00010599228,0.0000112197295],"category_scores_gemma":[0.00047242423,0.00026049727,0.00005135213,0.0010331016,0.0000073105975,0.00007840773,0.000013582792,0.00017941602,0.00013184019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018185714,0.000008389376,0.000005988018,0.00008230112,0.0000046709524,0.00007098637,0.0000305477,0.8335184,0.16431776,0.000023208368,0.00041430834,0.0015052927],"study_design_scores_gemma":[0.0007657152,0.00002528447,0.0004257075,0.00015874716,0.0000033093852,0.0000013203844,0.000004236007,0.6672472,0.3285528,0.0000040666305,0.00254031,0.00027130437],"about_ca_topic_score_codex":0.000005542332,"about_ca_topic_score_gemma":0.0000050845074,"teacher_disagreement_score":0.16627118,"about_ca_system_score_codex":0.00015560012,"about_ca_system_score_gemma":0.0000121340145,"threshold_uncertainty_score":0.99998474},"labels":[],"label_agreement":null},{"id":"W4360998820","doi":"10.1016/j.rineng.2023.101053","title":"Natural convection and entropy generation inside a square chamber divided by a corrugated porous partition","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Bangladesh University of Engineering and Technology","keywords":"Natural convection; Porosity; Partition (number theory); Square (algebra); Mechanics; Entropy (arrow of time); Porous medium; Materials science; Mathematics; Physics; Thermodynamics; Convection; Geometry; Composite material; Combinatorics","score_opus":0.009622922434357847,"score_gpt":0.20102011159846955,"score_spread":0.1913971891641117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360998820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932516,0.0006894435,0.0040594614,0.000080163685,0.000792003,0.00020821224,0.000042056217,0.00080328877,0.00007373585],"genre_scores_gemma":[0.998767,0.0005467037,0.00008297991,0.000012868014,0.0001392972,0.000043488915,0.00031024183,0.000037216774,0.000060194143],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914545,0.000012009878,0.00026412334,0.00018414222,0.000120473036,0.00027380092],"domain_scores_gemma":[0.9997792,0.000038440245,0.000007893219,0.00010005856,0.000019651043,0.000054712953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012613923,0.00015372815,0.00015111752,0.00018915789,0.000033104607,0.000037267506,0.000026688333,0.0001000034,0.0000056784816],"category_scores_gemma":[0.000037567697,0.00016752748,0.00002284311,0.00038428928,0.0000082241895,0.00017770866,0.000009472577,0.00018700276,0.00001923109],"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":[0.00003212072,0.000011983989,0.00022763952,0.00014323807,0.000025843827,0.000040523373,0.00085277547,0.25724652,0.73616517,0.00011544242,0.0034391966,0.0016995531],"study_design_scores_gemma":[0.0012050758,0.000026513299,0.00398906,0.000081564554,0.000007816349,0.0000146659095,0.000024919724,0.94914746,0.043661077,0.000006544748,0.0016065517,0.00022872096],"about_ca_topic_score_codex":0.00004073114,"about_ca_topic_score_gemma":0.000048574326,"teacher_disagreement_score":0.6925041,"about_ca_system_score_codex":0.00008491712,"about_ca_system_score_gemma":0.000005131713,"threshold_uncertainty_score":0.68315727},"labels":[],"label_agreement":null},{"id":"W4365151271","doi":"10.1016/j.rineng.2023.101088","title":"Wing twist angle predictions using finite element model unit load cases","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada); Centre de Géomatique du Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Bombardier","keywords":"Wing; Finite element method; Twist; Structural engineering; Mathematics; Engineering; Geometry","score_opus":0.05506721907032388,"score_gpt":0.30918282909407574,"score_spread":0.2541156100237519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365151271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95766926,0.00020950363,0.03535773,0.000027875836,0.0010392828,0.0003310469,0.00013579223,0.004731968,0.0004975371],"genre_scores_gemma":[0.9849729,0.00014357298,0.014474326,0.0000044275644,0.00022147142,0.000044346776,0.000024784542,0.000073908115,0.000040266517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853873,0.000009464584,0.00044350172,0.00022240667,0.0002446277,0.0005412731],"domain_scores_gemma":[0.99934226,0.00018850183,0.000027690823,0.0003033312,0.000037978043,0.00010026206],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027094973,0.00021542974,0.0001893794,0.00040569843,0.00006771104,0.000030013602,0.00016161244,0.00010711974,0.0000020702814],"category_scores_gemma":[0.00023645937,0.00025294593,0.000040787734,0.0008774888,0.000011810235,0.00017157287,0.00006935543,0.0003196333,0.000008311611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000678996,0.000003199093,0.00018861415,0.00015693528,0.000010028604,0.000043135224,0.00037889357,0.99637645,0.0015351615,0.000035029676,0.00014825963,0.0011175043],"study_design_scores_gemma":[0.0002829784,0.000016724396,0.0023448225,0.0003305804,0.0000068002555,0.0000129891005,0.000052920812,0.99391395,0.0020990476,0.000046086167,0.0006637267,0.00022937851],"about_ca_topic_score_codex":0.00012880522,"about_ca_topic_score_gemma":0.000021486976,"teacher_disagreement_score":0.027303632,"about_ca_system_score_codex":0.0006021969,"about_ca_system_score_gemma":0.00004115783,"threshold_uncertainty_score":0.99999225},"labels":[],"label_agreement":null},{"id":"W4381112559","doi":"10.1016/j.rineng.2023.101234","title":"Fusion of heterogeneous industrial data using polygon generation &amp; deep learning","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Natural Resources Canada","funders":"Natural Resources Canada; Office of Energy Research and Development; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Polygon (computer graphics); Raw data; Sensor fusion; Process (computing); Data mining; Fusion; Artificial intelligence; Deep learning; Rendering (computer graphics); Machine learning","score_opus":0.11499035372798397,"score_gpt":0.315596184932195,"score_spread":0.20060583120421102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381112559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99564624,0.0002337591,0.0035941044,0.000008821036,0.00010572242,0.000025831716,0.000027881097,0.00011169322,0.00024592012],"genre_scores_gemma":[0.99793214,0.000111296395,0.0009354365,0.0000011629587,0.00039108284,0.0000014224273,0.0004790334,0.000021379852,0.00012703669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901253,0.0000089433815,0.00033012233,0.00025770068,0.00017400288,0.00021668433],"domain_scores_gemma":[0.99941295,0.0000858769,0.00008567461,0.00036283903,0.000016830363,0.000035828045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022617771,0.00011026491,0.00017651897,0.0002906805,0.00003577599,0.000017941886,0.00021994485,0.00013904672,0.00003854521],"category_scores_gemma":[0.0007272753,0.000121335244,0.000030143507,0.0008946424,0.000008978376,0.00008480764,0.00016573665,0.00024476447,0.000005781236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015128585,0.0000068411573,0.0004904769,0.000026428594,0.000016587006,0.000004375996,0.00006607088,0.5046243,0.49351552,0.0000012266382,0.000018835757,0.0012142177],"study_design_scores_gemma":[0.0004881013,0.000006252573,0.00003672834,0.00004365253,0.000025971638,0.0000046592563,0.000047598984,0.67997175,0.31849328,9.1978006e-7,0.0007633737,0.000117705786],"about_ca_topic_score_codex":0.000090664296,"about_ca_topic_score_gemma":0.000016705184,"teacher_disagreement_score":0.17534745,"about_ca_system_score_codex":0.00007802925,"about_ca_system_score_gemma":0.000016570677,"threshold_uncertainty_score":0.49479076},"labels":[],"label_agreement":null},{"id":"W4382794017","doi":"10.1016/j.rineng.2023.101271","title":"A comprehensive review of natural fibers and their composites: An eco-friendly alternative to conventional materials","year":2023,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":927,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Materials science; Composite material; Kenaf; Natural fiber; Silane; Environmentally friendly; Composite number; Renewable resource; Steam explosion; Fiber; Renewable energy; Pulp and paper industry; Engineering","score_opus":0.030933391176431856,"score_gpt":0.3139198308355214,"score_spread":0.28298643965908954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382794017","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022392904,0.9940971,0.00004163934,0.000020678503,0.0009263039,0.0013005728,0.0012236028,0.00012718463,0.000023627417],"genre_scores_gemma":[0.00032347854,0.9959482,0.0028002562,0.0000369719,0.00013236924,0.00009994679,0.0005462168,0.00007424502,0.000038327147],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99715877,0.00016309405,0.0013661461,0.0006143591,0.00029428813,0.00040335287],"domain_scores_gemma":[0.998112,0.00072402053,0.00044419407,0.0004434332,0.00013719643,0.00013913552],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050501496,0.0005495997,0.0020070116,0.000447221,0.000034775196,0.00007223278,0.0006104656,0.00014994698,0.000021087502],"category_scores_gemma":[0.00021777287,0.00043261715,0.00018053266,0.0005616939,0.00005206528,0.00021699772,0.00037407476,0.0003129807,0.00005416423],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020581398,0.00006748058,2.233791e-7,0.7663428,0.0004912133,0.00014949695,0.00095800875,0.005303878,0.11720054,0.0009966237,0.00060775684,0.107676156],"study_design_scores_gemma":[0.0009399287,0.0003095391,0.000006771781,0.5544867,0.0002032326,0.00018006966,0.000035790297,0.0009005936,0.024938418,0.000032737567,0.41651413,0.0014521071],"about_ca_topic_score_codex":0.000049808197,"about_ca_topic_score_gemma":0.0000021964975,"teacher_disagreement_score":0.41590637,"about_ca_system_score_codex":0.00015833994,"about_ca_system_score_gemma":0.00006290909,"threshold_uncertainty_score":0.99981254},"labels":[],"label_agreement":null},{"id":"W4384502033","doi":"10.1016/j.rineng.2023.101283","title":"Electric vehicles survey and a multifunctional artificial neural network for predicting energy consumption in all-electric vehicles","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Artificial neural network; Electric energy consumption; Energy consumption; Electric vehicle; Automotive engineering; Engineering; Function (biology); Computer science; Simulation; Artificial intelligence; Electric energy; Electrical engineering","score_opus":0.04107956639872871,"score_gpt":0.27712069375579107,"score_spread":0.23604112735706237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384502033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884597,0.00059932977,0.009503472,0.00003847478,0.00019731502,0.00024662225,0.00003616234,0.0009101598,0.000008768494],"genre_scores_gemma":[0.99825144,0.0005202041,0.00077021314,0.0000057431876,0.00012776093,0.00016266614,0.000095354364,0.00005708747,0.000009519173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982609,0.000035490495,0.0004317459,0.00032626823,0.00017893624,0.0007666332],"domain_scores_gemma":[0.99849623,0.0012378091,0.000030575964,0.00015761078,0.000026964304,0.000050794275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006752286,0.00019856048,0.00022350316,0.0007470398,0.00004693659,0.000038139635,0.00014745814,0.00017156846,8.5363564e-7],"category_scores_gemma":[0.0008088206,0.00023141241,0.000028694538,0.0015012661,0.00001649928,0.0001545581,0.00006513717,0.00040081842,0.000002809851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010601812,0.000008989051,0.012479612,0.00007243895,0.000017415166,0.000012447044,0.00003826351,0.9237593,0.027557716,0.000050286046,0.00013112066,0.035766404],"study_design_scores_gemma":[0.0005396053,0.000038982067,0.15059602,0.000043887037,0.000001971115,0.000004344773,0.0000112383705,0.8448223,0.0035480317,0.00010423985,0.00010906188,0.0001803369],"about_ca_topic_score_codex":0.000054276283,"about_ca_topic_score_gemma":0.00024376214,"teacher_disagreement_score":0.1381164,"about_ca_system_score_codex":0.00020223061,"about_ca_system_score_gemma":0.000011373338,"threshold_uncertainty_score":0.9436725},"labels":[],"label_agreement":null},{"id":"W4387611473","doi":"10.1016/j.rineng.2023.101512","title":"Experimental study on effects of pilot injection mass strategy on combustion, Performance and emission characteristics of CRDI Engine","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta","keywords":"Diesel fuel; NOx; Combustion; Smoke; Common rail; Diesel engine; Brake specific fuel consumption; Nitrogen oxide; Environmental science; Carbon monoxide; Waste management; Chemistry; Automotive engineering; Engineering; Organic chemistry","score_opus":0.015539510166860242,"score_gpt":0.24150200909627778,"score_spread":0.22596249892941753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387611473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99884915,0.00003055072,0.00030304946,0.000008001674,0.00023330624,0.00026728242,0.000010669248,0.00016772994,0.0001302647],"genre_scores_gemma":[0.99973845,0.000070302114,0.000050203147,9.324189e-7,0.000042854874,0.000035953653,0.000014412174,0.000018317915,0.000028553217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999364,0.000009091158,0.000264419,0.00013789262,0.00011077941,0.00011381398],"domain_scores_gemma":[0.9997109,0.000053901662,0.000033505286,0.00015368975,0.000017524399,0.000030446825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012937446,0.000113781214,0.00015130332,0.00022166876,0.000020892236,0.0000057182133,0.000047323138,0.00003771769,9.667211e-7],"category_scores_gemma":[0.000045437075,0.00011712043,0.000012103412,0.00034511922,0.000011589106,0.000045046123,0.000012209621,0.00013957979,0.0000030961046],"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":[0.000080460304,0.0002996006,0.0008597888,0.00052647997,0.000024141837,0.0000020484058,0.0009081009,0.60743916,0.38553664,0.000052048847,0.000104779625,0.004166765],"study_design_scores_gemma":[0.0013863888,0.0016185716,0.23370588,0.00034884282,0.000008030897,0.0000016331328,0.00032632827,0.17902398,0.5833291,0.00000211567,0.000058207275,0.00019095237],"about_ca_topic_score_codex":0.0000040103473,"about_ca_topic_score_gemma":1.2914795e-7,"teacher_disagreement_score":0.42841518,"about_ca_system_score_codex":0.000038687926,"about_ca_system_score_gemma":0.0000031542918,"threshold_uncertainty_score":0.47760323},"labels":[],"label_agreement":null},{"id":"W4388011678","doi":"10.1016/j.rineng.2023.101550","title":"Effect of proppant distribution in hydraulic fractures on coalbed methane extraction","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Key Research and Development Program of China; China Scholarship Council","keywords":"Coalbed methane; Petroleum engineering; Hydraulic fracturing; Extraction (chemistry); Permeability (electromagnetism); Porosity; Geology; Geotechnical engineering; Engineering; Coal; Coal mining; Waste management","score_opus":0.00808566097809806,"score_gpt":0.25073357934957663,"score_spread":0.24264791837147856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388011678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703145,0.0001276219,0.0017579916,0.000024173132,0.00029260138,0.00024832,0.0000187281,0.00025456128,0.00024453714],"genre_scores_gemma":[0.99964297,0.00012878975,0.000013133402,0.000001362725,0.00003809333,0.000028278657,0.00011317133,0.000022206379,0.000011967623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992267,0.000026473703,0.00028514574,0.00012910695,0.00013156197,0.00020099609],"domain_scores_gemma":[0.99962157,0.00019223805,0.000023450857,0.00012872361,0.000008851528,0.000025144413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041020304,0.00012445948,0.00017680554,0.00021961618,0.000007384676,0.00000746795,0.000057938854,0.000085735104,0.000002372001],"category_scores_gemma":[0.00033624074,0.000110229674,0.00003074237,0.00055487466,0.000005437956,0.00008108,0.000013782541,0.00019209349,0.000009127802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013089193,0.000008860519,0.00009251128,0.00025538076,0.00000539307,0.000008973009,0.00014816999,0.96057254,0.026863499,0.000013066807,0.000054575055,0.01184616],"study_design_scores_gemma":[0.0007306757,0.00012447522,0.014100861,0.0002770201,0.000003916491,0.0000012048708,0.00001584506,0.7890493,0.19489917,0.000003821783,0.00067899295,0.00011471205],"about_ca_topic_score_codex":0.0000737239,"about_ca_topic_score_gemma":0.000022281763,"teacher_disagreement_score":0.17152321,"about_ca_system_score_codex":0.00011866309,"about_ca_system_score_gemma":0.000004148382,"threshold_uncertainty_score":0.44950354},"labels":[],"label_agreement":null},{"id":"W4388281482","doi":"10.1016/j.rineng.2023.101566","title":"The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":268,"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":"Khon Kaen University; Ministry of Science, ICT and Future Planning; National Research Foundation of Korea; Deanship of Scientific Research, King Khalid University","keywords":"Big data; Stewardship (theology); Analytics; Computer science; Water resources; Resource (disambiguation); Data science; Business intelligence; Resource management (computing); Knowledge management; Engineering management; Management science; Engineering; Data mining","score_opus":0.09049746231783408,"score_gpt":0.2907993636782076,"score_spread":0.2003019013603735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388281482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6302591,0.00056179037,0.3436106,0.01020506,0.0017708007,0.0059302836,0.00022806556,0.00025522604,0.0071790884],"genre_scores_gemma":[0.99895436,0.00040160248,0.00045309248,0.000006384656,0.000019679608,0.000020428237,0.000039884584,0.000006250937,0.00009832608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993816,0.000009778113,0.00020872372,0.00014532304,0.00010819365,0.00014635394],"domain_scores_gemma":[0.9995558,0.00016271525,0.000026705793,0.00024383541,0.0000034545026,0.0000074468685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008910032,0.00005438814,0.000052285177,0.00006444944,0.000043392447,0.000021051514,0.00024349154,0.000014566749,8.76656e-7],"category_scores_gemma":[0.00006578994,0.000031961965,0.0000056296735,0.00055939326,0.0000401973,0.000050777493,0.00043613964,0.00004983647,0.0000025071197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029368268,0.000014458834,0.0005559532,0.00003136609,0.000013528172,0.0000025549896,0.0008420152,0.85723835,0.00014605228,0.0011361006,0.00034373743,0.13964653],"study_design_scores_gemma":[0.000104020786,0.000015577636,0.019587297,0.000035300203,0.0000067465735,7.834915e-8,0.00093299756,0.9588442,0.00090201636,0.00041064885,0.019099928,0.00006119002],"about_ca_topic_score_codex":0.000044860404,"about_ca_topic_score_gemma":0.0002932047,"teacher_disagreement_score":0.36869526,"about_ca_system_score_codex":0.000027413369,"about_ca_system_score_gemma":0.0000010431137,"threshold_uncertainty_score":0.1303371},"labels":[],"label_agreement":null},{"id":"W4391718237","doi":"10.1016/j.rineng.2024.101879","title":"Spatial modeling of extreme temperature in the Canadian Prairies using max-stable processes","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Extreme value theory; Extreme weather; Environmental science; Extreme heat; Evapotranspiration; Climate change; Extreme Cold; Agriculture; Physical geography; Yield (engineering); Climatology; Resource (disambiguation); Spatial ecology; Geography; Atmospheric sciences; Mathematics; Statistics; Ecology; Computer science; Geology","score_opus":0.02981285718160266,"score_gpt":0.22988795412301471,"score_spread":0.20007509694141207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391718237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598825,0.00023376984,0.0015968287,0.0002852414,0.0001006009,0.00016942566,0.00003628632,0.00002290009,0.0015667252],"genre_scores_gemma":[0.99897593,0.000017199218,0.0009393418,0.000010947939,0.000022678658,0.0000067435003,0.0000053765975,0.000008834388,0.000012972732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992546,0.00001332194,0.00020182964,0.0001732351,0.00014114621,0.00021588092],"domain_scores_gemma":[0.9997597,0.000068191875,0.000010167356,0.00012678729,0.0000049508044,0.000030211257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004598338,0.00008099919,0.00008897015,0.00008467138,0.000033121767,0.00005007618,0.00013030296,0.00006313579,0.00001023121],"category_scores_gemma":[0.00017795736,0.00006419111,0.000014518795,0.00045986535,0.000022371198,0.00018213228,0.000031531916,0.00017964984,0.0000019725107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048190673,0.000007826113,0.00073025,0.00014733792,0.0000012833635,0.000011471606,0.002697545,0.99394363,0.0022820008,0.00007496057,0.00000626718,0.00009257921],"study_design_scores_gemma":[0.000078760255,0.0000053526123,0.00039446662,0.00023983454,0.000002586997,0.0000046880073,0.00012275694,0.9984164,0.00024582836,0.00009369099,0.0003182842,0.00007733177],"about_ca_topic_score_codex":0.20258778,"about_ca_topic_score_gemma":0.50957125,"teacher_disagreement_score":0.3069835,"about_ca_system_score_codex":0.00024260663,"about_ca_system_score_gemma":0.00007857014,"threshold_uncertainty_score":0.8027223},"labels":[],"label_agreement":null},{"id":"W4392179223","doi":"10.1016/j.rineng.2024.101838","title":"Assessing vertical green walls for indoor corridors in educational buildings and its impact outdoor: A field study at the universities of Canada in Egypt","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":16,"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":"British University in Egypt","keywords":"Sustainability; Architectural engineering; Energy consumption; Indoor air quality; Efficient energy use; Water efficiency; Environmental science; Engineering; Civil engineering; Environmental economics; Environmental engineering; Ecology","score_opus":0.008857868612436488,"score_gpt":0.25609165859065036,"score_spread":0.24723378997821388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392179223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990913,0.000079697085,0.00002769727,0.00033801387,0.00007553659,0.00019861001,0.000012843035,0.0000039404413,0.00017230948],"genre_scores_gemma":[0.9997817,0.0000023932544,0.00004881385,0.000008506032,0.000013472663,0.00000842088,0.0000028653317,0.00000470329,0.00012909851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994836,0.000011798438,0.00014384057,0.00012301687,0.00010705511,0.00013069024],"domain_scores_gemma":[0.99945235,0.00046310498,0.000008767631,0.00004922621,0.0000026829362,0.000023859095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021256831,0.00005828566,0.00007345565,0.000059595957,0.000016257525,0.000014381638,0.000059368493,0.000024074694,0.000017664637],"category_scores_gemma":[0.00010450791,0.000047416717,0.000010399071,0.00017231259,0.000009813738,0.00015159631,0.000051065923,0.00008796306,2.92625e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019994531,0.0001321206,0.5732478,0.0002013877,0.000035206802,0.000052636897,0.02205396,0.38797626,0.010969364,0.000163171,0.0016264664,0.0033416895],"study_design_scores_gemma":[0.0007285722,0.00007127609,0.8192878,0.00020446772,0.0000068347786,0.0000043032214,0.001711719,0.17583752,0.0018391194,0.000023845054,0.00016518748,0.000119366814],"about_ca_topic_score_codex":0.09650016,"about_ca_topic_score_gemma":0.21724422,"teacher_disagreement_score":0.24603999,"about_ca_system_score_codex":0.0007943358,"about_ca_system_score_gemma":0.00008810532,"threshold_uncertainty_score":0.90951633},"labels":[],"label_agreement":null},{"id":"W4392603383","doi":"10.1016/j.rineng.2024.101926","title":"Optimization of infill density, fiber angle, carbon fiber layer position in 3D printed continuous carbon-fiber reinforced nylon composite","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Dubai Electricity and Water Authority","keywords":"Materials science; Composite material; Fiber; Composite number","score_opus":0.007096459122194921,"score_gpt":0.20586406366370452,"score_spread":0.1987676045415096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392603383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863856,0.00030152753,0.0027706188,0.00003691891,0.00027681788,0.0003113614,0.000027010732,0.0014516133,0.008438559],"genre_scores_gemma":[0.992548,0.000048665595,0.006836329,0.0000025637917,0.00005174877,0.000023854242,0.000058284983,0.000070632894,0.00035995312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985593,0.000020628439,0.00056586496,0.00030706983,0.00018224372,0.0003648766],"domain_scores_gemma":[0.9993935,0.00016298347,0.00005047556,0.00030895983,0.00004625201,0.000037833488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022747614,0.00028757038,0.00035145797,0.0006526466,0.00001361896,0.00004047285,0.00016100753,0.00025632136,0.000019322235],"category_scores_gemma":[0.00012958613,0.00031243902,0.00006119733,0.0005267935,0.000035657507,0.000116416595,0.00012113427,0.00051559013,0.000009359794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028454835,0.00000835288,0.00006537857,0.00029967216,0.000040807776,0.00006067736,0.00032093195,0.9880037,0.0072361184,0.000032752854,0.00002051412,0.003882641],"study_design_scores_gemma":[0.00052136986,0.00003163329,0.0022204155,0.0012876346,0.00001680856,0.000016986449,0.000023980308,0.82844347,0.16678888,0.0000122613055,0.0003005469,0.0003359992],"about_ca_topic_score_codex":0.0001870866,"about_ca_topic_score_gemma":0.000011771039,"teacher_disagreement_score":0.15956022,"about_ca_system_score_codex":0.00025155526,"about_ca_system_score_gemma":0.00001249267,"threshold_uncertainty_score":0.99993277},"labels":[],"label_agreement":null},{"id":"W4392883991","doi":"10.1016/j.rineng.2024.102038","title":"Future flood envelope curves for the estimation of design flood magnitudes for highway bridges at river crossings","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"National Research Council Canada; Trottier Institute for Sustainability in Engineering and Design; Alliance de recherche numérique du Canada","keywords":"Streamflow; Flood myth; Hydrology (agriculture); Envelope (radar); Environmental science; Range (aeronautics); Current (fluid); Drainage basin; 100-year flood; Climate change; Flood forecasting; Magnitude (astronomy); Geology; Meteorology; Geography; Computer science; Cartography; Geotechnical engineering; Engineering; Radar; Telecommunications","score_opus":0.010811440874867944,"score_gpt":0.2354248839244767,"score_spread":0.22461344304960876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392883991","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17589276,0.0050539346,0.8154616,0.0018294856,0.0005143679,0.0008107928,0.00012279727,0.00012857665,0.00018572537],"genre_scores_gemma":[0.9738767,0.00021184095,0.02529691,0.00003057915,0.00008471461,0.00007945325,0.00002409198,0.000014517881,0.00038120674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929494,0.000013031126,0.0002098529,0.000204839,0.00010253114,0.00017480136],"domain_scores_gemma":[0.9993127,0.0004975627,0.000030311616,0.00013210706,0.0000059339945,0.00002135847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051098305,0.000102475584,0.00012606614,0.000043569285,0.000082487095,0.000021521715,0.00014246663,0.000068089874,0.000024194873],"category_scores_gemma":[0.00017156077,0.00007486424,0.00007004368,0.0002023945,0.00006946826,0.00014449251,0.000047684563,0.00007043597,0.00001216148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060080318,0.000014785472,0.00016033289,0.00021724765,0.000041900294,0.0000019633037,0.001009978,0.9875664,0.0022420734,0.000060810497,0.0020666094,0.006557829],"study_design_scores_gemma":[0.00038323028,0.00004008691,0.007793239,0.00014031614,0.000075304335,0.000003088334,0.000013680999,0.97023237,0.0141398525,0.00009474236,0.006967527,0.000116566844],"about_ca_topic_score_codex":0.00003816093,"about_ca_topic_score_gemma":0.000041537205,"teacher_disagreement_score":0.79798394,"about_ca_system_score_codex":0.00007189941,"about_ca_system_score_gemma":0.000007621686,"threshold_uncertainty_score":0.3052875},"labels":[],"label_agreement":null},{"id":"W4394987503","doi":"10.1016/j.rineng.2024.102132","title":"A systematic review of big data innovations in smart grids","year":2024,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":60,"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":"Big data; Smart grid; Computer science; Data science; Context (archaeology); Analytics; Data analysis; Energy management; Electricity; Energy consumption; Systems engineering; Data mining; Energy (signal processing); Engineering","score_opus":0.05306343745318116,"score_gpt":0.30993310933792656,"score_spread":0.2568696718847454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394987503","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[8.2066855e-8,0.9779828,0.02025165,0.00010604748,0.00024042706,0.0010560363,0.00009938073,0.00014267612,0.00012089941],"genre_scores_gemma":[0.000021786404,0.9955644,0.0038697533,0.000010799746,0.000024845298,0.00037336393,0.00010323905,0.000017385,0.000014449888],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9974002,0.000048914422,0.0016527243,0.0005479761,0.00015645353,0.00019368638],"domain_scores_gemma":[0.99673027,0.00023273003,0.00025870386,0.0027198456,0.000038258167,0.00002019175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001708437,0.00023686662,0.0014747464,0.0009496897,0.000009771145,0.000023430304,0.0025114117,0.00022197414,2.1170668e-7],"category_scores_gemma":[0.0009402855,0.00019562613,0.00008497987,0.004684024,0.00001676357,0.00007748999,0.000958135,0.0006406184,0.000014229852],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.723946e-8,0.000018317465,3.7854875e-8,0.93442094,0.000028562681,0.000009770925,0.000020538771,0.0000075169905,4.2218225e-8,0.019012418,0.0001373516,0.04634447],"study_design_scores_gemma":[0.000046289224,0.0000044379103,2.0595212e-7,0.8791493,0.000116733674,0.000025774665,0.0000011367836,0.0133315725,1.9501633e-7,0.00009100469,0.10706239,0.00017092071],"about_ca_topic_score_codex":0.000015980688,"about_ca_topic_score_gemma":0.000015168042,"teacher_disagreement_score":0.10692504,"about_ca_system_score_codex":0.00010766273,"about_ca_system_score_gemma":0.000162953,"threshold_uncertainty_score":0.79774016},"labels":[],"label_agreement":null},{"id":"W4395455239","doi":"10.1016/j.rineng.2024.102179","title":"Seismic performance evaluation of exterior reinforced concrete beam-column connections retrofitted with economical perforated steel haunches","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Structural engineering; Column (typography); Beam (structure); Reinforced concrete; Engineering; Materials science; Geology; Connection (principal bundle)","score_opus":0.014062066534975482,"score_gpt":0.2234808527701828,"score_spread":0.2094187862352073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395455239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964404,0.00028333676,0.0010562103,0.000014053718,0.0005451006,0.0004686516,0.00004708385,0.00056904106,0.00057612034],"genre_scores_gemma":[0.9986468,0.000058369813,0.00090750575,0.0000030602866,0.00007393311,0.000084801264,0.000069112786,0.00007315909,0.000083285566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836934,0.000015908434,0.00062711176,0.0002991421,0.00031677377,0.00037170394],"domain_scores_gemma":[0.99929047,0.00012797302,0.00005210404,0.00033102767,0.000114909264,0.00008352415],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047143034,0.00029447122,0.00034317188,0.00038950966,0.000032344004,0.000068439775,0.00016982075,0.00016871156,0.00003847302],"category_scores_gemma":[0.0000965482,0.00029390724,0.00006569792,0.00061673374,0.000047794303,0.00045681122,0.000026801617,0.0004162257,0.000015076757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005600013,7.791298e-8,0.0000955666,0.00018594843,0.000054014912,0.000004292217,0.00027271925,0.924063,0.07330326,0.00003523478,0.000015824107,0.0019140355],"study_design_scores_gemma":[0.001166659,0.00009723107,0.0032939804,0.000525252,0.00006942898,0.000033627955,0.00006426043,0.86611867,0.12818688,5.981618e-7,0.00013527383,0.00030814763],"about_ca_topic_score_codex":0.000028091263,"about_ca_topic_score_gemma":0.0000019719182,"teacher_disagreement_score":0.05794437,"about_ca_system_score_codex":0.0005091502,"about_ca_system_score_gemma":0.00010204716,"threshold_uncertainty_score":0.9999513},"labels":[],"label_agreement":null},{"id":"W4396828459","doi":"10.1016/j.rineng.2024.102259","title":"Energy, exergy and economical analysis of N2O based cascade refrigeration system for ultralow temperature cooling applications using different eco-friendly refrigerants in high temperature cycle","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Refrigerant; Exergy; Refrigeration; Exergy efficiency; Vapor-compression refrigeration; Cascade; Environmental science; Environmentally friendly; Overall pressure ratio; Thermodynamics; Process engineering; Refrigerator car; Nuclear engineering; Materials science; Gas compressor; Engineering; Chemical engineering","score_opus":0.005055700067396187,"score_gpt":0.21241979498499997,"score_spread":0.20736409491760377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396828459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94903654,0.0006913986,0.04879575,0.00004928026,0.00023927081,0.0002939929,0.0003410429,0.00052750105,0.00002521779],"genre_scores_gemma":[0.9942694,0.00008737925,0.005029207,0.0000038315443,0.000068170266,0.00018402812,0.0003074851,0.00004191674,0.000008587265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986336,0.000018052962,0.0006245226,0.00036818473,0.00009553601,0.00026010274],"domain_scores_gemma":[0.9994406,0.00018637569,0.000043464825,0.00025014696,0.000031266605,0.00004812603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017418255,0.00024136752,0.00043486396,0.0011269633,0.000058099886,0.00013412451,0.00011578802,0.00028042292,0.0000016744073],"category_scores_gemma":[0.00003224906,0.00023714664,0.00009231682,0.0008941316,0.000021453081,0.00018852342,0.000011843247,0.000262305,2.7519266e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017597495,0.000009889333,0.000034197838,0.00035742018,0.00009464942,0.0000055800433,0.000070626666,0.83907324,0.15791973,0.0019237875,0.000010438419,0.00048285464],"study_design_scores_gemma":[0.00046450784,0.0000152221355,0.00067314197,0.000442618,0.000065754655,0.000003101282,0.00007240154,0.90105623,0.09682765,0.000026439126,0.00013101862,0.00022190314],"about_ca_topic_score_codex":0.0000384506,"about_ca_topic_score_gemma":0.00009638538,"teacher_disagreement_score":0.061983015,"about_ca_system_score_codex":0.0003433831,"about_ca_system_score_gemma":0.000025259842,"threshold_uncertainty_score":0.9670559},"labels":[],"label_agreement":null},{"id":"W4400390608","doi":"10.1016/j.rineng.2024.102497","title":"Quaternion-based adaptive backstepping fast terminal sliding mode control for quadrotor UAVs with finite time convergence","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quaternion; Control theory (sociology); Backstepping; Euler angles; Attitude control; Robustness (evolution); Computer science; Parametric statistics; Singularity; Underactuation; Terminal sliding mode; Translation (biology); Adaptive control; Mathematics; Sliding mode control; Control engineering; Engineering; Artificial intelligence; Nonlinear system; Robot; Control (management)","score_opus":0.009868090344336502,"score_gpt":0.22263157805179898,"score_spread":0.21276348770746248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400390608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01496592,0.0006866165,0.98096454,0.000055092634,0.00070982415,0.0010734136,0.00042395102,0.0008661934,0.00025443805],"genre_scores_gemma":[0.9911397,0.0000052810283,0.00773975,0.000011000752,0.0004171067,0.0003186934,0.00003583865,0.00015127906,0.00018133587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980928,0.000028332275,0.00058857026,0.00044912897,0.00025145392,0.0005897535],"domain_scores_gemma":[0.9984402,0.0010454035,0.000049679835,0.00026736222,0.0000725596,0.0001247798],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003991419,0.0004090143,0.0004752528,0.00037075233,0.000038408678,0.00009706768,0.00022370469,0.00013697696,0.000007303714],"category_scores_gemma":[0.00014464524,0.00039160872,0.00011504873,0.00031759628,0.000020230184,0.00027536345,0.000015880769,0.00033008482,0.00006354765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002899165,0.000010587656,0.000034839606,0.00046040182,0.00010970523,0.00011333601,0.00029127553,0.9887621,0.008715456,0.00010743192,0.000056837107,0.0010481448],"study_design_scores_gemma":[0.0022916908,0.00016002747,0.00008551021,0.0018371476,0.000032016498,0.000013535601,0.00005120468,0.9914625,0.001383359,0.0000031865966,0.0022011856,0.00047862588],"about_ca_topic_score_codex":0.000026406187,"about_ca_topic_score_gemma":0.000020135902,"teacher_disagreement_score":0.9761738,"about_ca_system_score_codex":0.00033686365,"about_ca_system_score_gemma":0.00006745607,"threshold_uncertainty_score":0.99985355},"labels":[],"label_agreement":null},{"id":"W4401591195","doi":"10.1016/j.rineng.2024.102731","title":"Dynamic and probabilistic safety zones for autonomous mobile robots operating near humans","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Business Finland; Next Generation Manufacturing Canada","keywords":"Flexibility (engineering); Probabilistic logic; Computer science; Inefficiency; Risk analysis (engineering); Artificial intelligence","score_opus":0.02415299392665819,"score_gpt":0.3260712115964305,"score_spread":0.3019182176697723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401591195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4430427,0.0066942647,0.54428273,0.0012118331,0.0012610487,0.0014166906,0.00026494038,0.0004779828,0.0013478196],"genre_scores_gemma":[0.9805752,0.00016223942,0.018380772,0.0000070372826,0.000046847003,0.00006862773,0.000013443064,0.00002127763,0.0007245742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817103,0.00003174167,0.00071289483,0.0005298883,0.00028870208,0.00026574175],"domain_scores_gemma":[0.998009,0.0015235591,0.00003991943,0.00030543402,0.000057166497,0.00006487192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019206114,0.00014942538,0.0002900429,0.0002532521,0.00013196655,0.00044050792,0.00023969145,0.00007294898,0.000010993009],"category_scores_gemma":[0.0018046332,0.00011877305,0.000093433504,0.000660937,0.0000373827,0.0002351936,0.0000757744,0.00015794362,0.000017717393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013622859,0.000008716177,0.000026185677,0.00004602672,0.000013479984,0.000009915098,0.0012796997,0.95009226,0.00017251793,0.0010265679,0.000030120389,0.047280885],"study_design_scores_gemma":[0.00024871936,0.000044594064,0.0011325575,0.00010412449,0.000013359821,0.000005123838,0.0002108429,0.9909308,0.0000122539395,0.0014210719,0.0057255034,0.00015106886],"about_ca_topic_score_codex":0.00003368648,"about_ca_topic_score_gemma":0.00012410711,"teacher_disagreement_score":0.5375325,"about_ca_system_score_codex":0.00009638284,"about_ca_system_score_gemma":0.000051654242,"threshold_uncertainty_score":0.48434246},"labels":[],"label_agreement":null},{"id":"W4401919899","doi":"10.1016/j.rineng.2024.102768","title":"The effect of environmental control course on architectural design projects (Case study environmental control course - Canadian International Collage – Egypt)","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Control (management); Course (navigation); Engineering management; Architecture; Sustainable design; Engineering; Computer science; Sustainability","score_opus":0.00416149868396552,"score_gpt":0.2161440416913697,"score_spread":0.21198254300740418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401919899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99199796,0.0008336863,0.0035105355,0.00007549239,0.0009785934,0.0019837695,0.00028409736,0.00016307364,0.00017281047],"genre_scores_gemma":[0.9994519,0.000023067081,0.00006472539,0.00000702031,0.00012182079,0.00020415048,0.000011079416,0.00006442347,0.00005182986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983789,0.00011919276,0.00038530477,0.00029168432,0.00032798242,0.00049695617],"domain_scores_gemma":[0.9985689,0.0009957561,0.00003069042,0.0002588214,0.000003277826,0.00014258143],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008338402,0.00031468982,0.00026472408,0.00023903613,0.000078048935,0.00010042127,0.00023662245,0.000074483745,0.000010452619],"category_scores_gemma":[0.000051484407,0.00025160194,0.000079186495,0.00013292866,0.000043736243,0.000082881765,0.000019875763,0.0003630302,0.000008072486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021379077,0.00007306083,0.0010226803,0.00005495723,0.000366491,0.004252801,0.00087279076,0.98073477,0.0031696032,0.000018237164,0.00012138418,0.009099447],"study_design_scores_gemma":[0.004980025,0.0008638288,0.0034095778,0.00015719993,0.000105424464,0.00034067596,0.0018209743,0.98561066,0.0016556242,0.0000023019436,0.00069140183,0.00036229886],"about_ca_topic_score_codex":0.00052801543,"about_ca_topic_score_gemma":0.00039569178,"teacher_disagreement_score":0.008737149,"about_ca_system_score_codex":0.0008771051,"about_ca_system_score_gemma":0.0000686737,"threshold_uncertainty_score":0.9999936},"labels":[],"label_agreement":null},{"id":"W4402070408","doi":"10.1016/j.rineng.2024.102793","title":"The influence of the climate, the materials of the walls, and the gas effects of double and triple-glazed windows in terms of energy evaluation and economic expenses","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":15,"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":"Efficient energy use; Energy consumption; Environmental science; Architectural engineering; Civil engineering; Computer science; Engineering","score_opus":0.003974259298253635,"score_gpt":0.19908305328496984,"score_spread":0.1951087939867162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402070408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777013,0.0015793052,0.00003781478,0.00005068097,0.00022108029,0.00025931926,0.000007580328,0.000009836996,0.00006424681],"genre_scores_gemma":[0.9983665,0.0015369882,0.000026263118,0.0000022413076,0.000012150088,0.00004000451,0.0000010090379,0.000011083006,0.0000037937664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993255,0.000060575654,0.00034542175,0.00008547775,0.000088921726,0.00009405956],"domain_scores_gemma":[0.99920386,0.00049423083,0.000073690106,0.00021052062,0.000010741024,0.0000069495673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074131985,0.000088660985,0.00016160784,0.00004538505,0.000027655822,0.000020274772,0.00014164342,0.000045985587,3.650025e-7],"category_scores_gemma":[0.000090343674,0.000040541872,0.000022174636,0.0001264308,0.0000961767,0.000069378475,0.00007495844,0.00006799783,8.973855e-9],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082126935,0.0000026413697,0.00024022137,0.00023546549,0.000022048234,9.373551e-8,0.0005703154,0.97108996,0.023269476,0.0038039216,0.0000022383383,0.0006814706],"study_design_scores_gemma":[0.0024150182,0.000020969166,0.027938992,0.0010254442,0.000043157346,0.000005201272,0.000052146825,0.69210523,0.27585262,0.00038885645,0.00005862184,0.00009373786],"about_ca_topic_score_codex":0.0001475577,"about_ca_topic_score_gemma":0.00009849096,"teacher_disagreement_score":0.27898476,"about_ca_system_score_codex":0.000021330032,"about_ca_system_score_gemma":0.000010778541,"threshold_uncertainty_score":0.16532496},"labels":[],"label_agreement":null},{"id":"W4402511634","doi":"10.1016/j.rineng.2024.102878","title":"DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quorum sensing; Artificial neural network; Identification (biology); Computer science; Computational biology; Artificial intelligence; Biological system; Biology; Ecology; Bacteria; Biofilm","score_opus":0.007623267011142931,"score_gpt":0.24855483695647398,"score_spread":0.24093156994533105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402511634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69221324,0.0013019239,0.30426222,0.00013238785,0.00050096447,0.00014714085,0.000021810127,0.000084566745,0.0013357697],"genre_scores_gemma":[0.97846824,0.00007685019,0.021076458,0.00001530088,0.0001446429,0.0000016017317,0.000064748885,0.00002059708,0.00013153619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991944,0.00001156424,0.00037066225,0.00015474345,0.000088025125,0.00018061436],"domain_scores_gemma":[0.9996742,0.000024664392,0.000050613733,0.00021059524,0.000021952881,0.000017962659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002673771,0.00009966123,0.000093340874,0.000043537566,0.000016613463,0.000026992779,0.00009077402,0.00008276886,3.232671e-7],"category_scores_gemma":[0.00017743,0.00010230671,0.00004476518,0.00014573411,0.000015491136,0.000009759396,0.000060074184,0.00013641329,0.0000021641422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011924622,0.0000027626124,0.00003459766,0.00012344737,0.000011094822,0.0000014729106,0.0002345337,0.8622532,0.13567454,0.00021158432,0.00021217953,0.001228694],"study_design_scores_gemma":[0.00011240926,0.00001821686,0.00015810393,0.00010439502,0.0000054339257,0.000008629072,0.000020450863,0.96576595,0.032612555,0.00004947118,0.0010432703,0.000101093196],"about_ca_topic_score_codex":0.000007901572,"about_ca_topic_score_gemma":0.000005946943,"teacher_disagreement_score":0.28625503,"about_ca_system_score_codex":0.000015308224,"about_ca_system_score_gemma":0.000017906683,"threshold_uncertainty_score":0.41719466},"labels":[],"label_agreement":null},{"id":"W4402531449","doi":"10.1016/j.rineng.2024.102839","title":"Compact ultra-wide band two element vivaldi non-uniform slot MIMO antenna for body-centric applications","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Enterprise Ireland; Center for Wireless Communications, University of California, San Diego; Queen's University; Prince Sattam bin Abdulaziz University","keywords":"Vivaldi antenna; MIMO; Antenna (radio); Ultra-wideband; Electronic engineering; Slot antenna; Computer science; Telecommunications; Physics; Optoelectronics; Omnidirectional antenna; Engineering; Antenna measurement","score_opus":0.008846596817402934,"score_gpt":0.23717736774699885,"score_spread":0.22833077092959592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402531449","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028395695,0.0014216586,0.9926836,0.000120211545,0.00027078835,0.00055206724,0.00014758013,0.00058061525,0.0013839159],"genre_scores_gemma":[0.99653125,0.00048567576,0.00223051,0.00001557111,0.00023214484,0.000119713,0.00009967673,0.00007641299,0.00020902134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852407,0.000005396432,0.000494097,0.00030730784,0.00016207837,0.000507069],"domain_scores_gemma":[0.9992999,0.0002490577,0.000022484306,0.00027509884,0.00003109766,0.00012235239],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028225186,0.0002654294,0.0002950851,0.00045256945,0.000045132787,0.00009812814,0.00020266451,0.000067292916,0.00001066801],"category_scores_gemma":[0.000044313987,0.00026310876,0.00016114843,0.00082846003,0.00001248552,0.00014961936,0.000009165518,0.00023303615,0.00003630588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004393137,0.000078936,0.00018127097,0.0013235117,0.00041281595,0.00004845951,0.000536664,0.6435288,0.3486501,0.0012056093,0.0013813766,0.0026084697],"study_design_scores_gemma":[0.0007419648,0.000020929385,0.00021011589,0.0002638419,0.000052470634,0.000005235212,0.000058587666,0.97765785,0.00460562,0.000030037509,0.016043738,0.00030960888],"about_ca_topic_score_codex":0.000021802607,"about_ca_topic_score_gemma":0.000010050066,"teacher_disagreement_score":0.9936917,"about_ca_system_score_codex":0.00020855178,"about_ca_system_score_gemma":0.000019160409,"threshold_uncertainty_score":0.9999821},"labels":[],"label_agreement":null},{"id":"W4402642321","doi":"10.1016/j.rineng.2024.102941","title":"Performance investigation of UOWC system based on OAM beams for various Jerlov water types","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optiwave Systems (Canada)","funders":"Deanship of Scientific Research, King Khalid University","keywords":"Computer science","score_opus":0.0111316260799213,"score_gpt":0.19423457073955686,"score_spread":0.18310294465963556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402642321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94236773,0.00041379538,0.05395499,0.00008153476,0.00053122005,0.00046298723,0.00003936627,0.0008178762,0.0013305082],"genre_scores_gemma":[0.997681,0.000010915568,0.002067422,0.0000037666932,0.00006088687,0.00006794731,0.000032583765,0.000038818023,0.000036662066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992499,0.000009949295,0.00034125525,0.00012320607,0.00010410925,0.00017160457],"domain_scores_gemma":[0.99960285,0.000089695786,0.000016785745,0.00023766323,0.000022112334,0.00003087039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029305727,0.000116838484,0.00014540706,0.00019119596,0.000018050247,0.00002962545,0.00013252947,0.00006965997,8.678138e-7],"category_scores_gemma":[0.0000046162054,0.00009624006,0.000038598482,0.0001487681,0.0000072423913,0.00005992671,0.0000128624815,0.00011331545,0.0000126016475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000130936205,0.0000032236962,0.000050083403,0.0019070184,0.000015525995,9.954679e-7,0.00058998866,0.97029924,0.025803763,0.00011483266,0.000013821119,0.0011884037],"study_design_scores_gemma":[0.0002604194,0.00003627757,0.00018873789,0.0009611284,0.000005788771,0.0000017051054,0.000023081186,0.88761586,0.10850503,0.0000034574014,0.0022927485,0.000105793006],"about_ca_topic_score_codex":0.000009594885,"about_ca_topic_score_gemma":0.0000014930854,"teacher_disagreement_score":0.082701266,"about_ca_system_score_codex":0.000120526674,"about_ca_system_score_gemma":0.0000094747365,"threshold_uncertainty_score":0.39245558},"labels":[],"label_agreement":null},{"id":"W4402745168","doi":"10.1016/j.rineng.2024.102916","title":"Novel adaptive fuzzy control for pendubot with actuator faults and uncertainties: Design and experiments","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Quỹ Đổi mới sáng tạo Vingroup; Tập đoàn Vingroup - Công ty CP","keywords":"Actuator; Control theory (sociology); Control (management); Fuzzy logic; Adaptive control; Control engineering; Computer science; Fuzzy control system; Engineering; Artificial intelligence","score_opus":0.02253905225765673,"score_gpt":0.2396944699088309,"score_spread":0.21715541765117416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402745168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02523018,0.0035577556,0.96915865,0.00004160567,0.0003325421,0.0010389353,0.00013029083,0.00038704884,0.00012299728],"genre_scores_gemma":[0.9617858,0.00003373884,0.037673842,0.00000651758,0.0001553822,0.00019530368,0.0000051584398,0.000083877276,0.000060401504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989201,0.000010853956,0.00028542517,0.00032267775,0.0001299963,0.00033097627],"domain_scores_gemma":[0.9991529,0.00056497945,0.000020652173,0.00013215833,0.000032640502,0.00009665132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025933687,0.00027573,0.00031224985,0.00018287537,0.00002487569,0.00006186717,0.00007699384,0.00009268419,5.37538e-7],"category_scores_gemma":[0.00007989469,0.00024341774,0.000027888309,0.0001327743,0.000027290953,0.00021068464,0.000016918459,0.00016346882,0.0000015917402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007136156,0.000021338043,0.000012777125,0.0004803359,0.00036111783,0.000049804905,0.0021736622,0.9278339,0.06396275,0.0008064466,0.00013259762,0.0034516635],"study_design_scores_gemma":[0.0033929471,0.00019296206,0.00015087923,0.00056468265,0.000025118436,0.000026920305,0.00027056265,0.99205226,0.0016750139,0.000009943426,0.0013278876,0.00031083098],"about_ca_topic_score_codex":0.00001526654,"about_ca_topic_score_gemma":0.0000064054934,"teacher_disagreement_score":0.9365556,"about_ca_system_score_codex":0.00012738116,"about_ca_system_score_gemma":0.00002267261,"threshold_uncertainty_score":0.99262875},"labels":[],"label_agreement":null},{"id":"W4402910956","doi":"10.1016/j.rineng.2024.103023","title":"Compressive and bending properties of 3D-printed wood/PLA composites with Re-entrant honeycomb core","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Composite material; Materials science; Core (optical fiber); Honeycomb; Bending; Honeycomb structure; 3d printed; Structural engineering; Engineering","score_opus":0.015595028358157695,"score_gpt":0.20493507623780277,"score_spread":0.1893400478796451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402910956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904974,0.0022214423,0.0051838197,0.000032568027,0.00015816563,0.00015542525,0.000031098883,0.0012389112,0.00048113152],"genre_scores_gemma":[0.9954636,0.00020150215,0.004229529,0.0000011190256,0.000025148576,0.000015711661,0.0000063983593,0.00004234692,0.000014662858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913305,0.000005926996,0.00026780067,0.00022134348,0.00011609443,0.0002557784],"domain_scores_gemma":[0.9996098,0.00013304786,0.000023208508,0.00018462623,0.000017194528,0.000032101612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010036849,0.00020812856,0.00025007644,0.00027938944,0.000023957737,0.000044918786,0.00013937238,0.00008108401,0.0000019695633],"category_scores_gemma":[0.00006272993,0.00016962,0.000022567667,0.00020629715,0.00006719007,0.000096914126,0.000082482125,0.000366096,0.0000015831647],"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":[0.00009234282,0.000024016404,0.00036884545,0.0029984065,0.00023070363,0.00015420637,0.0030478674,0.8185089,0.16399951,0.00077667716,0.00008644993,0.009712032],"study_design_scores_gemma":[0.00048982276,0.000058477515,0.0029434417,0.0048953155,0.000020229774,0.000031044445,0.0003206883,0.48106962,0.5094146,0.000023675942,0.00040370418,0.000329343],"about_ca_topic_score_codex":0.0000187817,"about_ca_topic_score_gemma":0.000007241205,"teacher_disagreement_score":0.34541512,"about_ca_system_score_codex":0.000048863665,"about_ca_system_score_gemma":0.000006403796,"threshold_uncertainty_score":0.69169027},"labels":[],"label_agreement":null},{"id":"W4402911805","doi":"10.1016/j.rineng.2024.102979","title":"Relationship between the heterogeneity in mechanical properties, bone density and composition parameters of cortical bone to design and develop bone scaffolds and implants: Analysis of bone microstructure","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Bone Tissue Engineering Materials","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 Saskatchewan","funders":"","keywords":"Cortical bone; Microstructure; Biomedical engineering; Materials science; Medicine; Anatomy; Composite material","score_opus":0.02529022107906169,"score_gpt":0.23587330104112628,"score_spread":0.2105830799620646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402911805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733836,0.0021035052,0.023897141,0.000047766076,0.0000807514,0.00031989597,0.00007567717,0.00009091729,7.436705e-7],"genre_scores_gemma":[0.98463154,0.00006813621,0.015211393,0.0000026510668,0.0000150119,0.000015565662,0.000021770924,0.00003297898,9.296929e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985137,0.000067494875,0.00073191436,0.00028196425,0.00015038927,0.00025452045],"domain_scores_gemma":[0.9991437,0.00050688995,0.000038803835,0.00019682581,0.0000239182,0.000089844434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008585945,0.00022063268,0.00061689387,0.000535687,0.000024144061,0.00004640614,0.000056342033,0.00016242526,4.572251e-7],"category_scores_gemma":[0.00022583676,0.00019514377,0.000032366974,0.00087029015,0.00004679292,0.00009985319,0.000082344195,0.00020662615,2.9196855e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011904996,0.000010638428,0.004289757,0.0008286401,0.00020704654,0.00005587276,0.0010593253,0.38244307,0.6102246,0.00009521021,0.0000070417036,0.00065972813],"study_design_scores_gemma":[0.00062568084,0.00006631235,0.45960116,0.00070047285,0.00032195108,0.00012988162,0.000030066723,0.3334927,0.20461684,0.000029986006,0.0000077513,0.00037720217],"about_ca_topic_score_codex":0.000047262263,"about_ca_topic_score_gemma":0.000028532351,"teacher_disagreement_score":0.45531142,"about_ca_system_score_codex":0.0000801353,"about_ca_system_score_gemma":0.00001176388,"threshold_uncertainty_score":0.7957732},"labels":[],"label_agreement":null},{"id":"W4402933005","doi":"10.1016/j.rineng.2024.103018","title":"Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"TOPSIS; Production (economics); Analytic hierarchy process; Fuzzy logic; Manufacturing engineering; Computer science; Mathematics; Engineering; Operations research; Artificial intelligence; Economics","score_opus":0.01440132675352693,"score_gpt":0.21624528984833238,"score_spread":0.20184396309480546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402933005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4297745,0.0020625868,0.535248,0.0002595882,0.0057139895,0.002223085,0.0003703629,0.014822873,0.0095250495],"genre_scores_gemma":[0.93628067,0.00022360362,0.062447045,0.0000046111995,0.00023769881,0.00034468577,0.000080694364,0.00012009244,0.0002609033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998043,0.000011126878,0.0004934893,0.0005977639,0.00018189944,0.0006727462],"domain_scores_gemma":[0.9991678,0.00028801805,0.00003654668,0.00041149015,0.000024640318,0.0000715236],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003585262,0.00042763818,0.00035026035,0.0007040321,0.00007408742,0.00013926113,0.0002843435,0.00020607865,0.000004169575],"category_scores_gemma":[0.00028372448,0.00043546595,0.00018478373,0.0003888263,0.00004785126,0.0002890998,0.000095003474,0.0005949986,0.00001124185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027346185,0.0000064237506,7.2365225e-7,0.0006516537,0.00013777315,0.00001821221,0.00089691783,0.97371185,0.0009970834,0.0005170455,0.0009089762,0.022125987],"study_design_scores_gemma":[0.00053344335,0.0000434952,0.00008516794,0.000739392,0.000037384612,0.00003558239,0.0005268617,0.56993526,0.4193015,0.00029141078,0.0076907785,0.0007797258],"about_ca_topic_score_codex":0.000009700951,"about_ca_topic_score_gemma":0.0000015120794,"teacher_disagreement_score":0.5065062,"about_ca_system_score_codex":0.00021128531,"about_ca_system_score_gemma":0.000014343307,"threshold_uncertainty_score":0.99980974},"labels":[],"label_agreement":null},{"id":"W4403081581","doi":"10.1016/j.rineng.2024.103024","title":"A review on 3D printing with clay and sawdust/natural fibers: Printability, rheology, properties, and applications","year":2024,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rheology; Materials science; Sawdust; Polymer science; Composite material; Engineering; Pulp and paper industry","score_opus":0.027099423193760835,"score_gpt":0.2656010330863741,"score_spread":0.2385016098926133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403081581","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000070649505,0.9971582,0.0002902112,0.000019153693,0.00028428348,0.0012578577,0.000034267276,0.00032367883,0.00056165096],"genre_scores_gemma":[0.000492043,0.99635553,0.00214692,0.00001784986,0.00016720768,0.0006488759,0.00003908153,0.00007647039,0.000056020166],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99842244,0.000029656418,0.00074954994,0.0004488391,0.00009409688,0.00025540302],"domain_scores_gemma":[0.9993851,0.000094469084,0.00007620561,0.00036983416,0.000034134362,0.000040249135],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003995557,0.0004126698,0.00086089637,0.00030646432,0.00003540747,0.00007844491,0.00013307837,0.00019230274,0.0000032532034],"category_scores_gemma":[0.00008252597,0.00030803678,0.00004809513,0.0005501946,0.00006613545,0.0000834687,0.000102588485,0.0006720903,0.000010335372],"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":[0.000004017924,0.000003511042,0.0000011272167,0.16491948,0.000121734774,0.0000062613008,0.00004139108,0.00049176585,0.000011878039,0.0010200012,0.000076858116,0.83330196],"study_design_scores_gemma":[0.00015972437,0.000019967003,0.0000019019411,0.11368367,0.0002510053,0.0002394088,0.000007638635,0.0025976854,0.000012012719,0.0000065917593,0.8825354,0.00048498547],"about_ca_topic_score_codex":0.0000035085006,"about_ca_topic_score_gemma":0.0000018363754,"teacher_disagreement_score":0.88245857,"about_ca_system_score_codex":0.0001381338,"about_ca_system_score_gemma":0.000046280264,"threshold_uncertainty_score":0.9999372},"labels":[],"label_agreement":null},{"id":"W4403087999","doi":"10.1016/j.rineng.2024.103027","title":"Transfer learning strategies for neural networks: A case study in amine gas treating units","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Fault Detection and Control Systems","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":"University of Toronto","funders":"","keywords":"Amine gas treating; Transfer of learning; Artificial neural network; Transfer (computing); Computer science; Artificial intelligence; Chemistry; Organic chemistry","score_opus":0.014012519997433878,"score_gpt":0.2393081112629444,"score_spread":0.22529559126551052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403087999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698544,0.00095746375,0.027078303,0.000008841003,0.0006321773,0.0005276224,0.0000067153355,0.0007348249,0.00019964387],"genre_scores_gemma":[0.9994427,0.000015067814,0.000039268158,0.0000016345879,0.0001942276,0.00019745849,0.0000060536036,0.000065119595,0.00003845723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988512,0.000031453103,0.0004501253,0.00022989363,0.00008583753,0.0003514905],"domain_scores_gemma":[0.9995575,0.0002662613,0.0000068990494,0.00010671005,0.000015966283,0.00004667727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003522761,0.00020872087,0.00024301189,0.0003440322,0.000029669905,0.00014067597,0.00006401358,0.00007994523,0.0000012294053],"category_scores_gemma":[0.000058960206,0.00021480527,0.000043165033,0.0007709216,0.0000044794674,0.00025769754,0.0000069328958,0.00041741415,9.535838e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025460418,0.000011373849,0.00008156592,0.00020462867,0.000029688825,0.0012134283,0.0035121301,0.98586506,0.0006822395,0.000028844792,0.000003842268,0.008341762],"study_design_scores_gemma":[0.0014267301,0.00011720869,0.00006420089,0.00022335075,0.000010692752,0.00022675676,0.009354773,0.98797613,0.00003474492,0.0000011578704,0.00035598624,0.00020827087],"about_ca_topic_score_codex":0.000269519,"about_ca_topic_score_gemma":0.0010396101,"teacher_disagreement_score":0.029588304,"about_ca_system_score_codex":0.00011646717,"about_ca_system_score_gemma":0.000011757952,"threshold_uncertainty_score":0.87595046},"labels":[],"label_agreement":null},{"id":"W4403117652","doi":"10.1016/j.rineng.2024.103049","title":"Innovations and ongoing advancements of the wick type solar still: A review","year":2024,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":44,"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":"Solar still; Engineering ethics; Engineering; Biology","score_opus":0.053617381811036056,"score_gpt":0.3593259129295317,"score_spread":0.30570853111849566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403117652","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000026696905,0.99755734,0.0004358435,0.000038146252,0.0006983858,0.00052781,0.000040377792,0.00006259568,0.00063682965],"genre_scores_gemma":[0.000026796888,0.9930903,0.0063057607,0.000019061157,0.00006643779,0.00007056963,0.000051279905,0.00007278003,0.00029702508],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998082,0.000121051715,0.0010542006,0.00034484468,0.00019194432,0.00020600542],"domain_scores_gemma":[0.99879915,0.00020327186,0.00025430252,0.00064116286,0.000070274895,0.00003182212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086031,0.0002888143,0.0008354037,0.0002787801,0.000018458244,0.000020606636,0.00031860272,0.0001506498,0.000007864096],"category_scores_gemma":[0.0014567769,0.00020441295,0.00011154774,0.0018784797,0.000022775675,0.00006930697,0.0001655312,0.0005354829,0.00001579472],"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":[0.00000208221,0.0000130633325,0.0000014855952,0.09183972,0.00011727971,0.0000037517593,0.00013645942,0.0010150528,0.000010023776,0.0016865367,0.00019608832,0.90497845],"study_design_scores_gemma":[0.00008828518,0.0000068164727,0.000006376874,0.07907593,0.00021966062,0.00000984214,0.0000025355318,0.00030696596,0.000009820208,0.000027155538,0.9200745,0.0001720781],"about_ca_topic_score_codex":0.000020579819,"about_ca_topic_score_gemma":0.0000050443223,"teacher_disagreement_score":0.9198784,"about_ca_system_score_codex":0.00012597436,"about_ca_system_score_gemma":0.00010067948,"threshold_uncertainty_score":0.8335718},"labels":[],"label_agreement":null},{"id":"W4403260618","doi":"10.1016/j.rineng.2024.103008","title":"Next-Generation Secure and Reversible Watermarking for Medical Images using Hybrid Radon-Slantlet Transform","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Alfaisal University","keywords":"Digital watermarking; Computer science; Radon; Radon transform; Computer vision; Artificial intelligence; Image (mathematics); Computer security; Physics","score_opus":0.02014762622765466,"score_gpt":0.25608166619388806,"score_spread":0.2359340399662334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403260618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015234375,0.0009082802,0.9824272,0.0004303425,0.00038453582,0.00018119712,0.000019220468,0.000337055,0.00007778499],"genre_scores_gemma":[0.8651097,0.0003324792,0.13433254,0.000022608432,0.00015323356,0.000008800054,0.00001559372,0.00001427738,0.0000107794785],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903136,0.00001261215,0.0002396652,0.00031130022,0.00015498552,0.00025008823],"domain_scores_gemma":[0.9996661,0.00009898183,0.000016651675,0.00014822152,0.000014743565,0.000055295626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048923265,0.00012958524,0.00012848085,0.00024829706,0.000053979355,0.00018669525,0.00022113507,0.00006623244,4.806869e-7],"category_scores_gemma":[0.000038828366,0.000118194526,0.000046729318,0.00021664356,0.000016301407,0.0007241335,0.000056921413,0.0001725489,2.0350859e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015984796,0.00009313637,0.00012774915,0.0039422237,0.00018127434,0.0013911515,0.009809074,0.034798913,0.37305886,0.028731344,0.003419502,0.54428697],"study_design_scores_gemma":[0.00025974476,0.00002416875,0.000008735663,0.0005074981,0.0000041496846,0.0000821791,0.000004571828,0.91611713,0.07627144,0.0008707689,0.0056864615,0.00016314266],"about_ca_topic_score_codex":0.000007707025,"about_ca_topic_score_gemma":0.0000021332094,"teacher_disagreement_score":0.8813182,"about_ca_system_score_codex":0.000046063262,"about_ca_system_score_gemma":0.000026259026,"threshold_uncertainty_score":0.48198327},"labels":[],"label_agreement":null},{"id":"W4403412393","doi":"10.1016/j.rineng.2024.103155","title":"Stability of long uniform slopes in cohesionless soils with seepage parallel to slope surface","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université de Moncton","funders":"","keywords":"Geotechnical engineering; Geology; Soil water; Slope stability; Stability (learning theory); Geomorphology; Soil science","score_opus":0.0071883988251827974,"score_gpt":0.20890858146435162,"score_spread":0.20172018263916883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403412393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938048,0.00011517157,0.0028238704,0.00011712681,0.00007684756,0.00019074604,0.000014071564,0.000045796103,0.0028115294],"genre_scores_gemma":[0.9958336,0.00006411175,0.003970685,0.000005228559,0.0000074002783,0.0000045689335,0.000003875138,0.000014742992,0.00009579854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902374,0.000012568933,0.00027163688,0.0002556869,0.00019272276,0.00024364016],"domain_scores_gemma":[0.9996476,0.00008232683,0.000016951906,0.00018379078,0.000003747642,0.00006558537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043405074,0.000115634815,0.00015882583,0.000052953055,0.000011572249,0.00001888654,0.00013560813,0.00006754788,0.000051491268],"category_scores_gemma":[0.000034322853,0.0000824203,0.000021873639,0.0005712549,0.000025071706,0.00012907472,0.000096807824,0.00019114197,0.000023938255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007994995,0.000026173975,0.015448274,0.00009233344,0.0000065476243,0.000097503595,0.0011765102,0.97835046,0.002171073,0.000025288115,0.000019830579,0.0025060317],"study_design_scores_gemma":[0.0020280245,0.00027758328,0.46993646,0.0021690677,0.00001848172,0.000026011943,0.00044620302,0.49884942,0.021578595,0.00003722569,0.0038254787,0.0008074496],"about_ca_topic_score_codex":0.0003751696,"about_ca_topic_score_gemma":0.0007753046,"teacher_disagreement_score":0.47950107,"about_ca_system_score_codex":0.0001911949,"about_ca_system_score_gemma":0.0000143438665,"threshold_uncertainty_score":0.33610022},"labels":[],"label_agreement":null},{"id":"W4403432110","doi":"10.1016/j.rineng.2024.103148","title":"Performance of insulators under variation of pollution, inclined angle, and temperature based on the design of experiment","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"High voltage insulation and dielectric phenomena","field":"Materials 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":"University of Winnipeg; Manitoba Beekeepers' Association","funders":"","keywords":"Variation (astronomy); Light pollution; Environmental science; Optics; Physics; Astrophysics","score_opus":0.011415532615663991,"score_gpt":0.22089866363715702,"score_spread":0.20948313102149302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403432110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920638,0.0001682396,0.0073748794,0.00006232255,0.00010226375,0.00012601835,0.000013358657,0.000019922138,0.00006915844],"genre_scores_gemma":[0.9988503,0.000015276672,0.0010887604,0.000011729195,0.000014861111,0.000006078858,0.0000016933419,0.0000059881677,0.000005352138],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937165,0.000028842813,0.00028068668,0.000101800164,0.00014226412,0.00007475732],"domain_scores_gemma":[0.9996015,0.00019005142,0.000049280792,0.000114308146,0.000030368255,0.000014504482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004781462,0.00006444981,0.00010224319,0.00014601638,0.000013920993,0.000008146745,0.000058419293,0.000038839724,0.000008188821],"category_scores_gemma":[0.00012891761,0.0000457744,0.000012323645,0.0003524166,0.00001854859,0.000059424583,0.000011768583,0.00005254753,4.6440962e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047449477,0.000014972936,0.000018231085,0.000052371266,0.000002085996,1.5652493e-7,0.0004612888,0.43577176,0.5622192,0.001380148,0.0000024972016,0.000029805893],"study_design_scores_gemma":[0.0002593091,0.00008615155,0.01007421,0.00017164659,0.0000027076367,2.2683368e-7,0.00002549051,0.64495164,0.34435079,0.000027716373,0.0000064860947,0.00004360072],"about_ca_topic_score_codex":0.000013872292,"about_ca_topic_score_gemma":2.1335416e-7,"teacher_disagreement_score":0.21786843,"about_ca_system_score_codex":0.000037033395,"about_ca_system_score_gemma":0.0000423912,"threshold_uncertainty_score":0.18666258},"labels":[],"label_agreement":null},{"id":"W4403821977","doi":"10.1016/j.rineng.2024.103245","title":"The lasting effects of wastewater irrigation: Evaluating alkylphenols accumulation in soil and potential health risks for farmers and local communities","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","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":"Lakehead University","funders":"Isfahan University of Medical Sciences","keywords":"Environmental science; Irrigation; Wastewater; Soil health; Water resource management; Environmental engineering; Agronomy; Soil water; Soil science; Soil organic matter; Biology","score_opus":0.031371871365255335,"score_gpt":0.29884791012336986,"score_spread":0.26747603875811454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403821977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99786645,0.00048983423,0.0011052885,0.00012993506,0.0001001955,0.00026369403,0.0000032852524,0.0000154527,0.000025844405],"genre_scores_gemma":[0.9989321,0.00007212055,0.0009254437,0.0000024244084,0.000015602856,0.00001898324,0.0000074413683,0.000008614207,0.000017252918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994277,0.00003607654,0.00019877963,0.00009808055,0.000088937755,0.00015044154],"domain_scores_gemma":[0.99950606,0.0003751703,0.000027278185,0.00006824006,0.000002221663,0.000021023954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046581597,0.00007402605,0.00008852757,0.00004226613,0.00007517613,0.000036058056,0.000043202497,0.000027111166,6.4059503e-7],"category_scores_gemma":[0.000028504965,0.000051905714,0.000012093254,0.00007839931,0.00004985751,0.00010426217,0.000053058495,0.00007637297,4.7799625e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039242237,0.000011707182,0.0029833533,0.00039456197,0.0000137697925,0.0000027258357,0.008817421,0.941519,0.0069428645,0.00004119955,0.0000030424799,0.039231066],"study_design_scores_gemma":[0.00096673606,0.000110143825,0.02035193,0.00055687083,0.000008110469,0.0000031092886,0.0010768104,0.971249,0.005463669,0.00010297226,0.0000289113,0.000081742255],"about_ca_topic_score_codex":0.00070139684,"about_ca_topic_score_gemma":0.00026085673,"teacher_disagreement_score":0.03914932,"about_ca_system_score_codex":0.00007327179,"about_ca_system_score_gemma":0.000005745675,"threshold_uncertainty_score":0.21166536},"labels":[],"label_agreement":null},{"id":"W4403916626","doi":"10.1016/j.rineng.2024.103240","title":"Numerical and experimental investigation of Darrieus vertical axis wind turbines to enhance self-starting at low wind speeds","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Vertical axis; Horizontal axis; Wind power; Vertical axis wind turbine; Wind gradient; Thermal wind; Wind profile power law; Wind direction; Wind speed; Meteorology; Geology; Marine engineering; Environmental science; Physics; Engineering; Geometry; Mathematics; Electrical engineering; Structural engineering","score_opus":0.006836131935303103,"score_gpt":0.2405272900997032,"score_spread":0.2336911581644001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403916626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749595,0.0008737116,0.00065576035,0.000065437955,0.00024321754,0.00010960963,0.00000641762,0.00022568941,0.00032423093],"genre_scores_gemma":[0.9962149,0.000023530194,0.0035730796,0.0000091893235,0.000100404824,0.000008711133,0.000008711163,0.00003469067,0.000026758404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879676,0.000010818937,0.00035235414,0.00025023628,0.00023845171,0.00035139662],"domain_scores_gemma":[0.999532,0.00010505171,0.00000669518,0.00012905826,0.000015411504,0.00021177842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018778733,0.00016957163,0.00018287546,0.00021191586,0.000021963715,0.000040248193,0.000086553824,0.000071297356,0.000008992062],"category_scores_gemma":[0.00010686168,0.00017225333,0.000026133092,0.00042177577,0.00001950826,0.00014309451,0.00007852862,0.00017261753,0.00001351402],"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":[0.000054658416,0.000014040317,0.00048747205,0.00043188463,0.000047271642,0.000059740953,0.0046438584,0.60443395,0.38859797,0.000040550207,0.0002764298,0.0009121809],"study_design_scores_gemma":[0.00021600217,0.000054915716,0.0033542898,0.00038492787,0.0000027610515,0.0000066766324,0.000061092054,0.30643725,0.68875015,0.000006886333,0.000513944,0.00021110152],"about_ca_topic_score_codex":0.000016033886,"about_ca_topic_score_gemma":0.0000023439734,"teacher_disagreement_score":0.30015218,"about_ca_system_score_codex":0.00023700953,"about_ca_system_score_gemma":0.000027097036,"threshold_uncertainty_score":0.70242876},"labels":[],"label_agreement":null},{"id":"W4404031137","doi":"10.1016/j.rineng.2024.103311","title":"Signal detection of M-MIMO-orthogonal time frequency space modulation using hybrid algorithms: ZFE + MMSE and ZFE + MF","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Algorithm; Computer science; Modulation (music); SIGNAL (programming language); MIMO; Mathematics; Physics; Telecommunications; Acoustics","score_opus":0.008330824381218415,"score_gpt":0.21369887288147996,"score_spread":0.20536804850026155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404031137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8022659,0.0017037804,0.193877,0.000015976746,0.0009601016,0.00017685571,0.00006918064,0.0005397773,0.0003914703],"genre_scores_gemma":[0.99211186,0.00007646104,0.007418398,8.4916775e-7,0.00028098022,0.00000948835,0.000015024799,0.000061516475,0.000025411828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998825,0.000016509088,0.00043035793,0.00026558718,0.00020411874,0.00025842115],"domain_scores_gemma":[0.9996174,0.000093378505,0.0000322027,0.00015673744,0.00003179836,0.00006848503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026887978,0.00020580784,0.0002051926,0.00046993516,0.000025218498,0.000042098105,0.000069436675,0.00009631559,0.000011727797],"category_scores_gemma":[0.000069819,0.00024455364,0.000051106625,0.00044140487,0.000024312461,0.00033984042,0.000024438206,0.000291183,0.000009358028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000559867,0.000004226657,0.000011462778,0.0001655125,0.000025656756,0.000013917231,0.00013639621,0.6143015,0.37997296,0.000030348054,0.000007773966,0.0053246664],"study_design_scores_gemma":[0.00025800036,0.000020127178,0.00064779556,0.00031135522,0.000015411315,0.0000875443,0.000015436171,0.9337343,0.06439947,0.00007756664,0.00021650852,0.0002165016],"about_ca_topic_score_codex":0.00003252033,"about_ca_topic_score_gemma":0.000002001405,"teacher_disagreement_score":0.3194328,"about_ca_system_score_codex":0.00022483799,"about_ca_system_score_gemma":0.000020817028,"threshold_uncertainty_score":0.99726075},"labels":[],"label_agreement":null},{"id":"W4404051901","doi":"10.1016/j.rineng.2024.103297","title":"Monitoring of greenhouse gas emission drivers in Atlantic Canadian Potato production: A robust explainable intelligent glass-box","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Greenhouse gas; Production (economics); Environmental science; Box model; Greenhouse; Process engineering; Engineering; Meteorology; Horticulture; Geography; Oceanography; Economics; Geology","score_opus":0.015002765616625538,"score_gpt":0.2310383734268763,"score_spread":0.21603560781025077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404051901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99398345,0.0012860232,0.0018730315,0.00050352333,0.0010392609,0.00024723576,0.000007982668,0.00060070306,0.00045877823],"genre_scores_gemma":[0.99736536,0.00044162388,0.0017058972,0.000001051954,0.00013316859,0.00002330737,0.0000036761307,0.000040847975,0.00028504521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850374,0.000007926109,0.00046527066,0.0003623458,0.00017922954,0.00048148658],"domain_scores_gemma":[0.99941146,0.000112984046,0.000027109694,0.0002847462,0.00002888888,0.00013483713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026332468,0.00020449527,0.00026058682,0.000770619,0.000022724013,0.000027366097,0.00021889372,0.00017532072,0.000008846427],"category_scores_gemma":[0.000933418,0.00020267563,0.00006018632,0.00083950517,0.000016333252,0.00016267055,0.000058900478,0.0004960174,0.0000070383594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040134008,0.000027410835,0.0040023024,0.00063101837,0.000025341295,0.00030190332,0.0010014476,0.905628,0.07793788,0.000114203904,0.00016406861,0.010126282],"study_design_scores_gemma":[0.0007300921,0.000050942985,0.0010661941,0.0058413227,0.00001695882,0.00003359874,0.0013052467,0.6143981,0.37139663,0.00005058702,0.004575949,0.00053437287],"about_ca_topic_score_codex":0.009270621,"about_ca_topic_score_gemma":0.0012824215,"teacher_disagreement_score":0.29345876,"about_ca_system_score_codex":0.000589748,"about_ca_system_score_gemma":0.000069082445,"threshold_uncertainty_score":0.99732673},"labels":[],"label_agreement":null},{"id":"W4404624817","doi":"10.1016/j.rineng.2024.103499","title":"Investigating bearing and gear vibrations with a Micro-Electro-Mechanical Systems (MEMS) and machine learning approach","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"University Canada West","keywords":"Microelectromechanical systems; Vibration; Bearing (navigation); Mechanical system; Mechanical engineering; Mechanical vibration; Engineering; Computer science; Automotive engineering; Materials science; Artificial intelligence; Acoustics; Physics; Nanotechnology","score_opus":0.007409729625589658,"score_gpt":0.18283646719610522,"score_spread":0.17542673757051555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404624817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86154264,0.005562122,0.13096698,0.000038800605,0.0001214452,0.00020971581,0.000015432073,0.0008003379,0.0007425485],"genre_scores_gemma":[0.99053186,0.00018112644,0.009074445,0.0000017526112,0.000057718258,0.000017447592,0.000025625375,0.00005746045,0.000052539057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905175,0.000012433169,0.00025024754,0.00028746852,0.000118621305,0.00027948924],"domain_scores_gemma":[0.999689,0.00008568422,0.000014134902,0.0001117822,0.00001100661,0.000088387525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002918724,0.00018523354,0.00021072036,0.0002859382,0.00005559046,0.00025781366,0.00006171097,0.000082984,4.5147502e-7],"category_scores_gemma":[0.000053773732,0.0001741696,0.000023006894,0.00044616975,0.000017121833,0.00013153473,0.00004682813,0.00054416957,0.0000012038495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021833082,0.0000039422657,0.00039794392,0.00048878766,0.000069823116,0.000012085077,0.00043758782,0.960458,0.036820576,0.00064050633,0.0000026787707,0.00066589453],"study_design_scores_gemma":[0.00021637455,0.000025491297,0.00035140305,0.00031435033,0.000028474164,0.00006980654,0.00007211359,0.9978782,0.0005798216,0.000008466423,0.0002501511,0.00020536306],"about_ca_topic_score_codex":0.00011255758,"about_ca_topic_score_gemma":0.00001573939,"teacher_disagreement_score":0.12898926,"about_ca_system_score_codex":0.000058798854,"about_ca_system_score_gemma":0.000010362383,"threshold_uncertainty_score":0.71024305},"labels":[],"label_agreement":null},{"id":"W4404633483","doi":"10.1016/j.rineng.2024.103486","title":"Modelling key reactive processes relevant to bisulfide transport through highly compacted bentonite","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nuclear Waste Management Organization; York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University; Nuclear Waste Management Organization","keywords":"Bentonite; Key (lock); Mass transport; Chemistry; Biochemical engineering; Computer science; Geology; Geotechnical engineering; Engineering","score_opus":0.012334183353838927,"score_gpt":0.23621877907438407,"score_spread":0.22388459572054514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404633483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57028496,0.00036307258,0.41478422,0.00058472384,0.0002512241,0.00057779497,0.00006421115,0.00090146915,0.012188348],"genre_scores_gemma":[0.98601615,0.0001942638,0.0133697605,0.000031176667,0.000053979118,0.000030194658,0.000029319473,0.000027112217,0.00024804295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988723,0.0000075833773,0.00029913982,0.0003290778,0.00023543442,0.00025649148],"domain_scores_gemma":[0.9996546,0.00008976577,0.00002327338,0.00015365543,0.000010576913,0.000068130335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019441651,0.00014929789,0.00013958714,0.00011851591,0.00002548862,0.00002772432,0.0001410623,0.00006513634,0.000020804875],"category_scores_gemma":[0.00007152802,0.00013327626,0.00003125462,0.00082988694,0.00001558614,0.0003382071,0.000031702762,0.0001904743,0.00005715432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028219676,0.00002725312,0.00004661871,0.00012948392,0.000008708538,0.000070448295,0.007014452,0.9613194,0.030456087,0.00017083607,0.0002469094,0.00048161048],"study_design_scores_gemma":[0.0003715432,0.00009759029,0.0005270417,0.0010311906,0.000019230192,0.000012041806,0.00017962881,0.72561204,0.19123489,0.00044865647,0.07988751,0.0005786169],"about_ca_topic_score_codex":0.00041573122,"about_ca_topic_score_gemma":0.000057754154,"teacher_disagreement_score":0.41573122,"about_ca_system_score_codex":0.0001882487,"about_ca_system_score_gemma":0.000015359443,"threshold_uncertainty_score":0.5434848},"labels":[],"label_agreement":null},{"id":"W4404657245","doi":"10.1016/j.rineng.2024.103525","title":"Comparative studies on interfacial bond performance of ultrahigh performance concrete (UHPC) for sustainable repair of bridges and pavements","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Materials science; Bond; Composite material; Structural engineering; Engineering; Forensic engineering; Civil engineering; Environmental science; Business","score_opus":0.02267236453617401,"score_gpt":0.27184984237620113,"score_spread":0.24917747784002714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404657245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99724555,0.0008476028,0.0003011211,0.000003670603,0.0003753811,0.0004370412,0.000055085377,0.00014609372,0.0005884748],"genre_scores_gemma":[0.9987661,0.00049897685,0.0004778098,0.0000025550885,0.000053001622,0.00005834677,0.00001439274,0.000026363605,0.00010241124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987549,0.0000072025723,0.00064584025,0.00018232805,0.0001313911,0.0002783202],"domain_scores_gemma":[0.9994438,0.0002047593,0.00006161756,0.00013334712,0.00013552164,0.000020926545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048648028,0.00020489463,0.00044306667,0.0002893321,0.000021153914,0.000017380464,0.00008570893,0.000053762204,0.0000014819348],"category_scores_gemma":[0.000110886314,0.00019700362,0.000038284856,0.00025253312,0.000056587338,0.00025350178,0.000044124947,0.00011127726,9.281598e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006192774,0.000005815957,0.00048116632,0.02579329,0.00065055623,0.000011521979,0.008624545,0.75828785,0.19893017,0.005746771,0.00052427355,0.00032478265],"study_design_scores_gemma":[0.00056872296,0.00036003554,0.00061393203,0.0012878021,0.000012897374,0.0000010231823,0.00051176886,0.39276233,0.6029726,0.0000018358259,0.0007478264,0.00015916857],"about_ca_topic_score_codex":0.0000037578757,"about_ca_topic_score_gemma":3.3597854e-7,"teacher_disagreement_score":0.40404248,"about_ca_system_score_codex":0.00012851028,"about_ca_system_score_gemma":0.00001658378,"threshold_uncertainty_score":0.8033575},"labels":[],"label_agreement":null},{"id":"W4404723459","doi":"10.1016/j.rineng.2024.103532","title":"Evaluation of sandy soil stabilized with Tragacanth gum biopolymer for geotechnical applications","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Microbial Applications in Construction Materials","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"Golestan University of Medical Sciences; Golestan University; National Research Council of Thailand; Suranaree University of Technology","keywords":"Tragacanth; Biopolymer; Geotechnical engineering; Geology; Materials science; Composite material; Geography; Archaeology","score_opus":0.014387549615005987,"score_gpt":0.2654385174069537,"score_spread":0.2510509677919477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404723459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6881365,0.00028853447,0.30602437,0.00024377779,0.00021554879,0.0025661085,0.00029211948,0.00023976732,0.0019932487],"genre_scores_gemma":[0.98781693,0.000012470396,0.011416316,0.000002640503,0.000034497658,0.0006598621,0.000019075136,0.000015693799,0.000022508151],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907196,0.000016875843,0.00030066312,0.00025149947,0.00023393669,0.00012507966],"domain_scores_gemma":[0.99959964,0.00009252442,0.000040442792,0.0002219569,0.000020527745,0.000024930054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096653216,0.00008383941,0.00010690852,0.00007226061,0.0000218044,0.000017697139,0.00011161538,0.000054028096,0.00017172663],"category_scores_gemma":[0.00007014484,0.00007458508,0.000025191805,0.0003609278,0.00006965859,0.000074259704,0.000029215556,0.000058113972,0.00001409896],"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":[0.00003992763,0.000036806025,0.00002294652,0.00008381539,0.000016425096,1.8912013e-7,0.00010923354,0.3860259,0.5748208,0.0009894762,0.00012240282,0.037732046],"study_design_scores_gemma":[0.0020897966,0.00007052001,0.0009166274,0.00020860652,0.00014129233,0.000022000944,0.00007010438,0.5125265,0.45787188,0.0010133637,0.024678694,0.00039061412],"about_ca_topic_score_codex":0.000038715392,"about_ca_topic_score_gemma":0.000028894148,"teacher_disagreement_score":0.2996804,"about_ca_system_score_codex":0.00018525474,"about_ca_system_score_gemma":0.00003233587,"threshold_uncertainty_score":0.30414912},"labels":[],"label_agreement":null},{"id":"W4404893512","doi":"10.1016/j.rineng.2024.103587","title":"Use of mussel shells for removal of arsenic from water: Kinetics and equilibrium experimental investigation","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Arsenic contamination and mitigation","field":"Environmental Science","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":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Mussel; Arsenic; Kinetics; Environmental chemistry; Chemistry; Environmental science; Fishery; Metallurgy; Materials science; Biology; Physics","score_opus":0.018817695304193603,"score_gpt":0.22497067869951914,"score_spread":0.20615298339532553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404893512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972308,0.00010492927,0.0021989825,0.000056963614,0.00010980133,0.00013490462,0.000032296786,0.000018977391,0.00011231765],"genre_scores_gemma":[0.99210435,0.000010144386,0.007709506,0.000006040971,0.000015049547,0.0000053252325,0.000037016667,0.000008574729,0.000103964136],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994693,0.000007066144,0.00022388069,0.00013399194,0.00008609381,0.000079696474],"domain_scores_gemma":[0.9997543,0.00012164872,0.000021653736,0.00007383877,0.000003634044,0.000024933624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092826536,0.000058375394,0.000075557175,0.000044968183,0.000004374384,0.000009665059,0.000033965913,0.000035820438,0.00001718808],"category_scores_gemma":[0.00006280697,0.000053280397,0.000019452686,0.000066085304,0.000035753146,0.0001548262,0.000043645523,0.00003327928,0.0000017001953],"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":[0.000012091179,0.000009166751,0.000059836395,0.000028926679,0.0000037045036,0.000002036735,0.0020476163,0.013580461,0.98120046,0.000076937795,0.000028899327,0.0029498397],"study_design_scores_gemma":[0.00023666405,0.00003306003,0.0019989316,0.000077867604,0.000004810079,0.0000023229109,0.00006284669,0.26987925,0.72615755,0.000039846072,0.0014502096,0.0000566247],"about_ca_topic_score_codex":0.00007554205,"about_ca_topic_score_gemma":0.00000841868,"teacher_disagreement_score":0.2562988,"about_ca_system_score_codex":0.0000481801,"about_ca_system_score_gemma":0.0000027711533,"threshold_uncertainty_score":0.21727116},"labels":[],"label_agreement":null},{"id":"W4404995577","doi":"10.1016/j.rineng.2024.103645","title":"Non-stationary analysis of future floods using physical covariates and implications for dams across Canada","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"Infrastructure Canada; National Research Council Canada; National Research Council","keywords":"Covariate; Environmental science; Geography; Econometrics; Economics","score_opus":0.006239208965360112,"score_gpt":0.2717017989401985,"score_spread":0.2654625899748384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404995577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98740804,0.00008506934,0.011964038,0.0001968036,0.000048003436,0.000051794785,0.00020412562,0.0000095329515,0.000032602886],"genre_scores_gemma":[0.9976382,0.000009344393,0.0022281269,0.000009288815,0.000039442406,0.000008170155,0.00005158873,0.0000050453614,0.000010758599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950844,0.0000042140136,0.00013949965,0.00016882288,0.00005523381,0.00012377046],"domain_scores_gemma":[0.9997335,0.000120949226,0.000018440302,0.00009581747,0.000003973172,0.000027311175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011340721,0.000060989343,0.00013299378,0.000040611067,0.00003642878,0.00000857873,0.000056091776,0.000032663043,0.0000047658896],"category_scores_gemma":[0.000019900423,0.00005780637,0.000041203613,0.0007607941,0.000021771006,0.00006970807,0.000032179327,0.000055098546,2.8929014e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005803299,0.000008743939,0.009303031,0.000017229582,0.00014936292,0.0000015100155,0.00089162687,0.9847808,0.0038668183,0.00009402318,0.000023262675,0.0008578261],"study_design_scores_gemma":[0.000078515215,0.0000044598364,0.13666922,0.0000059394024,0.00012842364,6.368994e-7,0.000044712076,0.8624061,0.0001585628,0.0000289707,0.0004201337,0.00005432585],"about_ca_topic_score_codex":0.027105557,"about_ca_topic_score_gemma":0.06598436,"teacher_disagreement_score":0.12736619,"about_ca_system_score_codex":0.00007999354,"about_ca_system_score_gemma":0.00001378577,"threshold_uncertainty_score":0.97937304},"labels":[],"label_agreement":null},{"id":"W4405008951","doi":"10.1016/j.rineng.2024.103607","title":"A designed predictive modelling strategy based on data decomposition and machine learning to forecast solar radiation","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"King Saud University","keywords":"Decomposition; Computer science; Radiation; Machine learning; Artificial intelligence; Physics; Optics; Chemistry","score_opus":0.03113078485133199,"score_gpt":0.2591817954983361,"score_spread":0.2280510106470041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405008951","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075529814,0.00020719692,0.9914625,0.00010977619,0.00015433134,0.00016723026,0.0000385113,0.00020880859,0.00009860878],"genre_scores_gemma":[0.96692836,0.000031438918,0.032835282,0.000033806213,0.000041157713,0.000009538192,0.000100804216,0.000013033771,0.000006583596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991272,0.000035707177,0.00017501766,0.00036367628,0.000144134,0.00015428025],"domain_scores_gemma":[0.99939626,0.00024111997,0.000019424693,0.00025702114,0.000013853151,0.0000723229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047736132,0.00010355798,0.00008325754,0.00029335215,0.000044662636,0.00021409988,0.00022248532,0.000046825364,6.791945e-7],"category_scores_gemma":[0.000089269764,0.000109877525,0.000012481764,0.00041010568,0.0000029098092,0.0004223731,0.00006003808,0.00020562751,0.0000038944504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026527241,0.0000080395175,0.000022042012,0.000024257966,0.000004737824,0.0000106251955,0.00056667975,0.9815804,0.0006555977,0.00026734528,0.000014533958,0.016819226],"study_design_scores_gemma":[0.00029459634,0.00011591143,0.00020352422,0.00013545682,0.0000029357768,0.0000032580274,0.0000068833756,0.99740475,0.0010617333,0.000033251297,0.00062548276,0.00011218726],"about_ca_topic_score_codex":0.00004189881,"about_ca_topic_score_gemma":0.0000075409666,"teacher_disagreement_score":0.9593754,"about_ca_system_score_codex":0.000079184974,"about_ca_system_score_gemma":0.00003432506,"threshold_uncertainty_score":0.44806752},"labels":[],"label_agreement":null},{"id":"W4405309804","doi":"10.1016/j.rineng.2024.103701","title":"Aerial assistive payload transportation using quadrotor UAVs with nonsingular fast terminal SMC for human physical interaction","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Higher Education and Scientific Research; University of Thi-Qar","keywords":"Payload (computing); Terminal (telecommunication); Drone; Computer science; Engineering; Aeronautics; Aerospace engineering; Computer network; Biology; Network packet","score_opus":0.019335595872681428,"score_gpt":0.292116467728112,"score_spread":0.2727808718554306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405309804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2317449,0.000011922691,0.76715875,0.000022572794,0.00062515785,0.00020975246,0.000021877902,0.0001820386,0.000023054414],"genre_scores_gemma":[0.83862174,2.493055e-7,0.16093647,0.0000025234294,0.00035477028,0.000029614432,0.000024540475,0.000019269633,0.000010844312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891245,0.000015199693,0.00024498103,0.0003920724,0.00018459915,0.00025071992],"domain_scores_gemma":[0.9995541,0.00013472578,0.000048891405,0.00017792398,0.000035416888,0.000048946564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017477952,0.00016433289,0.0001747179,0.00020198911,0.00005363623,0.00015535243,0.00017229766,0.00005121833,2.3030178e-7],"category_scores_gemma":[0.00003485064,0.00015350609,0.000051262792,0.00030899636,0.000014771613,0.0004362917,0.000011716699,0.00019650688,0.0000017328491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009601226,0.000064625965,0.000048623053,0.00020814779,0.000043299824,0.00032282955,0.0049018823,0.9473097,0.035115786,0.00094699615,0.000011593148,0.01093053],"study_design_scores_gemma":[0.0005498044,0.00013663528,0.0017811967,0.0007138923,0.000015801235,0.000032142994,0.00003851456,0.9927049,0.0036935348,0.00002703231,0.0001068505,0.00019968125],"about_ca_topic_score_codex":0.00005400716,"about_ca_topic_score_gemma":0.000006398691,"teacher_disagreement_score":0.6068768,"about_ca_system_score_codex":0.00016661957,"about_ca_system_score_gemma":0.000047889593,"threshold_uncertainty_score":0.62597966},"labels":[],"label_agreement":null},{"id":"W4405356135","doi":"10.1016/j.rineng.2024.103733","title":"Enhanced analysis of MHD radiative hybrid nanofluid flow over a spinning disc with hall currents via advanced computational techniques","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Magnetohydrodynamics; Nanofluid; Radiative transfer; Flow (mathematics); Spinning; Mechanics; Physics; Materials science; Magnetic field; Optics; Heat transfer; Composite material","score_opus":0.004468248996073116,"score_gpt":0.22693187961537786,"score_spread":0.22246363061930474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405356135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14809547,0.0004742206,0.85000867,0.0000078322455,0.00019296446,0.00021323479,0.00015661801,0.00057476416,0.0002762239],"genre_scores_gemma":[0.9648665,0.00006701977,0.034778345,0.0000032183434,0.000033704884,0.000059095404,0.00012200041,0.000065114175,0.0000049554483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855995,0.0000145074955,0.0004840087,0.00032792523,0.0002922311,0.00032136473],"domain_scores_gemma":[0.9995634,0.00011796395,0.0000167116,0.0001912764,0.000038459777,0.000072217386],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017766138,0.00026831974,0.000418259,0.000881139,0.000015583228,0.000029249688,0.00013953772,0.00006156576,0.000011296519],"category_scores_gemma":[0.000026629625,0.00026449675,0.00010682017,0.001409901,0.00001665117,0.0002548992,0.000018252442,0.00026811406,0.0000027606975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002774727,0.000015783186,0.000009799796,0.00025395548,0.00040893388,0.00002896551,0.00077558507,0.9296077,0.05717439,0.00013350415,0.0000051932584,0.011558467],"study_design_scores_gemma":[0.0003626932,0.000050054427,0.0005646917,0.0006586816,0.00009526481,0.0000026279063,0.000011293704,0.8301247,0.16778618,0.00003505105,0.000061507104,0.00024725116],"about_ca_topic_score_codex":0.000011878881,"about_ca_topic_score_gemma":0.000011736346,"teacher_disagreement_score":0.8167711,"about_ca_system_score_codex":0.00020893636,"about_ca_system_score_gemma":0.000025759327,"threshold_uncertainty_score":0.99998075},"labels":[],"label_agreement":null},{"id":"W4405455203","doi":"10.1016/j.rineng.2024.103749","title":"Characterization of microstructure, crystallographic texture, corrosion behavior and mechanical properties of severely deformed AA7075 alloy","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Qassim University","keywords":"Microstructure; Alloy; Characterization (materials science); Texture (cosmology); Materials science; Corrosion; Metallurgy; Crystallography; Chemistry; Nanotechnology; Computer science","score_opus":0.008170313724561168,"score_gpt":0.1845233218448465,"score_spread":0.17635300812028532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405455203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960711,0.0016157961,0.0013785524,0.000006241333,0.000342659,0.00027983854,0.000052276533,0.00022937811,0.000024187446],"genre_scores_gemma":[0.9988658,0.00034159375,0.00062854664,0.000002097265,0.00002891205,0.00002851005,0.000031089123,0.00005801347,0.000015482414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988896,0.000011511975,0.0005150255,0.00020545522,0.00016330685,0.00021508899],"domain_scores_gemma":[0.9996823,0.000027407383,0.000035648525,0.0001725725,0.00003723922,0.000044795557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001307226,0.00020980152,0.00028109297,0.00032643453,0.000013144186,0.000029401084,0.00012611959,0.00015026808,0.0000020680764],"category_scores_gemma":[0.000035214187,0.00018152919,0.000053516964,0.00034463737,0.00004457263,0.00021140976,0.000062742205,0.00022540052,5.9496654e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052585987,0.000013073557,0.00016513088,0.0010951447,0.000019134879,0.000007669826,0.0005097579,0.010085095,0.9872213,0.00008510609,0.0000021960823,0.0007437794],"study_design_scores_gemma":[0.0004113482,0.00007270491,0.011074962,0.001321938,0.000036104444,0.00004475936,0.000025503216,0.23272742,0.7538332,0.000007650062,0.00017207433,0.00027237926],"about_ca_topic_score_codex":0.000014413446,"about_ca_topic_score_gemma":0.0000091786305,"teacher_disagreement_score":0.23338819,"about_ca_system_score_codex":0.00004802214,"about_ca_system_score_gemma":0.000015152631,"threshold_uncertainty_score":0.7402546},"labels":[],"label_agreement":null},{"id":"W4405624654","doi":"10.1016/j.rineng.2024.103792","title":"Enhanced energy storage density in thermal energy storage systems simultaneously heated with solar radiation and industrial waste heat","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal energy storage; Energy storage; Nuclear engineering; Waste heat; Environmental science; Solar energy; Radiation; Materials science; Waste management; Thermal; Process engineering; Mechanical engineering; Thermodynamics; Engineering; Electrical engineering; Physics; Optics; Heat exchanger","score_opus":0.006594082231117546,"score_gpt":0.18226372165899837,"score_spread":0.17566963942788083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405624654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9096516,0.002437513,0.08566901,0.000014962527,0.0012382169,0.00016772943,0.000021389862,0.00060534955,0.00019424094],"genre_scores_gemma":[0.99922377,0.0001363075,0.000028597886,0.000004786584,0.00034130504,0.000035015448,0.000033704033,0.0000747599,0.00012178221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859405,0.000054988494,0.00044964784,0.00033056617,0.00020598155,0.0003647505],"domain_scores_gemma":[0.99950165,0.00015900275,0.000021994707,0.00019773631,0.000021544725,0.0000980596],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025729518,0.00027947972,0.00032919695,0.00039552207,0.000025124209,0.00011577421,0.00008955713,0.00023476034,0.0000016036619],"category_scores_gemma":[0.000041371895,0.0002727358,0.000028970808,0.00052804814,0.000013186768,0.00019469102,0.000020382191,0.00034271373,0.000002118922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079545505,0.000008823446,0.000017412338,0.00013585293,0.00003545426,0.00020406123,0.00064285845,0.96187824,0.03478349,0.0001268288,0.000024087107,0.0020633505],"study_design_scores_gemma":[0.0011267733,0.00004874587,0.0000612804,0.0007134545,0.000008189432,0.000037810718,0.00012285981,0.9868383,0.009226011,6.72127e-7,0.0015002128,0.00031570886],"about_ca_topic_score_codex":0.0006670125,"about_ca_topic_score_gemma":0.00020887189,"teacher_disagreement_score":0.089572154,"about_ca_system_score_codex":0.00034055233,"about_ca_system_score_gemma":0.00003179818,"threshold_uncertainty_score":0.99997246},"labels":[],"label_agreement":null},{"id":"W4405624835","doi":"10.1016/j.rineng.2024.103786","title":"Advances in UAV avionics systems architecture, classification and integration: A comprehensive review and future perspectives","year":2024,"lang":"en","type":"review","venue":"Results in Engineering","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Avionics; Systems engineering; Architecture; Computer science; Engineering; Computer architecture; Aerospace engineering; Geography","score_opus":0.016474629421130076,"score_gpt":0.2822157233955597,"score_spread":0.26574109397442963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405624835","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000014406683,0.9951638,0.00312126,0.000043258908,0.00020153886,0.0009500463,0.000056351528,0.00014731086,0.00031500377],"genre_scores_gemma":[0.00011966091,0.99785227,0.0012545312,0.000002145475,0.000182943,0.0003901372,0.0001315108,0.000057107292,0.000009703777],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987901,0.000029629166,0.00057656184,0.0003613866,0.00008445723,0.00015786536],"domain_scores_gemma":[0.99955314,0.00008676515,0.00006562367,0.0002202177,0.00003267227,0.00004159372],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013374898,0.00033263332,0.0007542542,0.00038890666,0.000017480928,0.00006783627,0.0000891789,0.00016342553,6.3462113e-7],"category_scores_gemma":[0.000025275833,0.0002841129,0.000044357916,0.00071062316,0.000018360708,0.00012437801,0.000027320972,0.00056065654,0.000002597143],"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":[0.0000020579905,0.000011769515,2.3098562e-7,0.13162601,0.000031562962,0.0000057607995,0.0004632389,0.047392122,0.000001035976,0.0032065425,0.00006853916,0.8171911],"study_design_scores_gemma":[0.00012353467,0.000012782037,0.00000952469,0.039637487,0.00018052335,0.00005434165,0.00019474425,0.074900374,5.859683e-8,0.000011150001,0.88455796,0.00031750498],"about_ca_topic_score_codex":0.0000037593225,"about_ca_topic_score_gemma":0.000011220389,"teacher_disagreement_score":0.8844894,"about_ca_system_score_codex":0.00019110907,"about_ca_system_score_gemma":0.000019098672,"threshold_uncertainty_score":0.9999611},"labels":[],"label_agreement":null},{"id":"W4405695194","doi":"10.1016/j.rineng.2024.103673","title":"Assessment of heavy metal contamination in surface sediments: Seasonal influence in the Majes-Camaná basin of the Arequipa region, Peru","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Heavy metals in environment","field":"Environmental Science","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":"Contamination; Structural basin; Heavy metals; Environmental science; Geology; Hydrology (agriculture); Oceanography; Environmental chemistry; Geomorphology; Chemistry; Ecology; Geotechnical engineering; Biology","score_opus":0.00965072385596776,"score_gpt":0.24774892782052418,"score_spread":0.23809820396455642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405695194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979441,0.00013784097,0.0004280347,0.0003158932,0.00014159462,0.0003599735,0.000013342178,0.000010442658,0.0006487881],"genre_scores_gemma":[0.9991338,0.000059781534,0.0006738872,0.000031391322,0.00000979144,0.00003355822,0.0000024740282,0.000013705652,0.00004156949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99808425,0.00018550933,0.0005524102,0.00028875872,0.0006114292,0.00027763672],"domain_scores_gemma":[0.9992119,0.00032384135,0.000075180025,0.0003559477,0.000004310436,0.000028832257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020703936,0.00014867884,0.00020403603,0.000075057804,0.00001571878,0.000014515296,0.00038712227,0.00006603003,0.00002386687],"category_scores_gemma":[0.00024109663,0.00010534588,0.00005148174,0.0006893515,0.00011295994,0.0002496047,0.0001636266,0.00033161335,0.0000045999404],"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":[0.00001401305,0.00012132099,0.07913398,0.00008770046,0.000009813517,0.000027816579,0.0026661698,0.90036726,0.01644983,0.0002505488,0.00001790615,0.0008536199],"study_design_scores_gemma":[0.00040081108,0.00003899506,0.8981942,0.00033671848,0.000005696166,0.000007712554,0.00033242846,0.09558113,0.0043813847,0.000035050867,0.00057717605,0.000108695254],"about_ca_topic_score_codex":0.00029424333,"about_ca_topic_score_gemma":0.00007826121,"teacher_disagreement_score":0.8190602,"about_ca_system_score_codex":0.00079996703,"about_ca_system_score_gemma":0.000025555833,"threshold_uncertainty_score":0.429588},"labels":[],"label_agreement":null},{"id":"W4405807634","doi":"10.1016/j.rineng.2024.103840","title":"Prediction of three vital rainfall characteristics: Advanced hybrid tree- or lazy-based learner?","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Prince Edward Island","funders":"National Research Foundation of Korea; Ministry of Environment; Korea Environmental Industry and Technology Institute; Ministry of Education - Singapore","keywords":"Computer science; Tree (set theory); Mathematics","score_opus":0.018392567189501767,"score_gpt":0.21727092521788013,"score_spread":0.19887835802837836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405807634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98643017,0.000035452053,0.011582217,0.00008318309,0.00035056562,0.00013218366,0.00009838101,0.00024982617,0.0010379937],"genre_scores_gemma":[0.9964117,0.0000053636095,0.003338604,0.000010489583,0.000053990756,0.000010625634,0.000028588845,0.00002169546,0.00011894699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892795,0.000012727042,0.00032908315,0.00028694404,0.00020272525,0.00024054767],"domain_scores_gemma":[0.9995739,0.00016153544,0.000038472343,0.00016763242,0.000003810741,0.000054656797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031016444,0.00012998632,0.0001564963,0.00007747069,0.000018463108,0.000019605264,0.00013181024,0.000056089288,0.00008445343],"category_scores_gemma":[0.00046695222,0.00010726939,0.000043194897,0.00028340233,0.00005199478,0.000113985494,0.000060271872,0.00020904523,0.000048969436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013540949,0.00003699519,0.0010501321,0.0000852501,0.0000070276233,0.00010286504,0.000113246184,0.92167276,0.036231108,0.000014671233,0.00005770272,0.040492814],"study_design_scores_gemma":[0.00044435996,0.00016182975,0.014291892,0.000276768,0.0000064750748,0.000009748891,0.0000020704088,0.9779121,0.003192153,0.000020875423,0.0035579742,0.00012373758],"about_ca_topic_score_codex":0.00003025637,"about_ca_topic_score_gemma":0.000021379337,"teacher_disagreement_score":0.056239337,"about_ca_system_score_codex":0.00014997127,"about_ca_system_score_gemma":0.000011235966,"threshold_uncertainty_score":0.4374319},"labels":[],"label_agreement":null},{"id":"W4405826922","doi":"10.1016/j.rineng.2024.103856","title":"A three-phase coil coupling wireless power transfer pad for electric vehicles battery charging systems","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Science and Engineering Research Board; Directorate of Science and Technology; Ministry of Education, India; Scheme for Promotion of Academic and Research Collaboration; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Wireless power transfer; Electrical engineering; Electromagnetic coil; Battery (electricity); Maximum power transfer theorem; Coupling (piping); Electric vehicle; Phase (matter); Wireless; Power (physics); Inductive coupling; Materials science; Automotive engineering; Engineering; Physics; Telecommunications; Mechanical engineering","score_opus":0.01120459471069968,"score_gpt":0.2261920243834463,"score_spread":0.21498742967274662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405826922","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43645117,0.0061573423,0.5523158,0.000046520276,0.0024956178,0.00072878116,0.00021323987,0.001499854,0.00009169974],"genre_scores_gemma":[0.9986637,0.00017031615,0.00010612072,0.0000047572985,0.00035924948,0.0004069799,0.000052540337,0.0002228852,0.000013410063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972606,0.000010706372,0.00091879145,0.00056303304,0.0003253153,0.0009216087],"domain_scores_gemma":[0.99895924,0.00045900475,0.000013574472,0.0003741768,0.000044872544,0.00014913906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006890433,0.00050182873,0.0005840733,0.0007157266,0.000047908376,0.00025587645,0.00030718927,0.00025325626,0.0000030349258],"category_scores_gemma":[0.000028742334,0.0005391276,0.00017503451,0.00085444347,0.000014276624,0.00032242923,0.000012740092,0.00056066766,0.000025929136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069471374,0.000039539023,0.00002983837,0.0036893839,0.0001866987,0.00010987981,0.0016918225,0.83707,0.15371418,0.00078924355,0.00027326716,0.002336666],"study_design_scores_gemma":[0.0018384258,0.00006852027,0.000050706592,0.0020036786,0.00003192092,0.000029386181,0.00009648665,0.9800547,0.013138148,0.000004293863,0.0020764058,0.00060737104],"about_ca_topic_score_codex":0.000037209506,"about_ca_topic_score_gemma":0.000017862316,"teacher_disagreement_score":0.5622126,"about_ca_system_score_codex":0.00034692453,"about_ca_system_score_gemma":0.000043962424,"threshold_uncertainty_score":0.99970603},"labels":[],"label_agreement":null},{"id":"W4405836126","doi":"10.1016/j.rineng.2024.103855","title":"Investigating electromagnetic forces in multi-winding transformers: A numerical analysis","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Magnetic Field Sensors Techniques","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":"ASTER","funders":"","keywords":"Transformer; Computer science; Mechanical engineering; Engineering; Mechanics; Physics; Electrical engineering; Voltage","score_opus":0.011117007915818709,"score_gpt":0.24209355524423692,"score_spread":0.2309765473284182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405836126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8302227,0.0026802581,0.15988715,0.00012047318,0.0002758132,0.00042233025,0.000015493177,0.0019998413,0.0043759258],"genre_scores_gemma":[0.9694168,0.00013061827,0.030273028,0.0000067729093,0.000034311804,0.000046553843,0.000016828853,0.000045208675,0.000029853301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985209,0.000017078897,0.00052554125,0.00029621518,0.00015656868,0.0004836596],"domain_scores_gemma":[0.99953747,0.00021686441,0.000011321125,0.00015480438,0.0000067512165,0.000072789444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002972264,0.00022676766,0.00030783945,0.0011830205,0.0000123623795,0.00007118952,0.00014429803,0.00014600168,0.00002437944],"category_scores_gemma":[0.00013945388,0.00024990682,0.00010109106,0.0023019656,0.000013783187,0.00015217498,0.000014689142,0.00053363625,0.0000040461914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005176346,0.000017621374,0.00070079433,0.0006268628,0.0001252425,0.00011495598,0.004327139,0.94197416,0.04341438,0.00022150582,0.00005199449,0.00842018],"study_design_scores_gemma":[0.00026782867,0.000036106892,0.0025790413,0.0003166705,0.000038013062,0.0000057274574,0.000062826344,0.98901784,0.0070806597,0.000022246286,0.00030004626,0.00027300435],"about_ca_topic_score_codex":0.00014226852,"about_ca_topic_score_gemma":0.0001606399,"teacher_disagreement_score":0.1391941,"about_ca_system_score_codex":0.00016733461,"about_ca_system_score_gemma":0.000012891939,"threshold_uncertainty_score":0.9999953},"labels":[],"label_agreement":null},{"id":"W4405910505","doi":"10.1016/j.rineng.2024.103866","title":"Photodegradation of lignin biowaste catalyzed by biosynthesized zinc oxide nanoparticles using the leaf extract of Aristotelia chilensis","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Lignin and Wood Chemistry","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":"Universidad de La Frontera; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Photodegradation; Catalysis; Lignin; Zinc; Chemistry; Nanoparticle; Nuclear chemistry; Chemical engineering; Photocatalysis; Organic chemistry","score_opus":0.008985471729360294,"score_gpt":0.21086448464283747,"score_spread":0.20187901291347718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405910505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959462,0.0027273474,0.00049016025,0.000022877633,0.00018499003,0.00011160928,0.000106729865,0.00016872767,0.00024134538],"genre_scores_gemma":[0.99815786,0.00015056752,0.0015714716,0.0000013476752,0.000034955112,0.0000060887637,0.000020352829,0.00004366651,0.000013696295],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99890417,0.000014499527,0.00051435316,0.00017812164,0.00016847276,0.00022039015],"domain_scores_gemma":[0.99936116,0.0002594411,0.000045821624,0.00027748995,0.0000183346,0.000037760816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034069593,0.00017712987,0.00023993127,0.00011712017,0.000015452955,0.00002226436,0.00016181673,0.00009647131,0.0000014775226],"category_scores_gemma":[0.00010497862,0.00015023857,0.00007537039,0.00041283923,0.00003447528,0.00010803609,0.000027039718,0.00017687882,0.0000017068296],"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":[0.000010894856,0.000013646431,0.000012881896,0.0004093102,0.000048134883,0.0000042783463,0.0003245035,0.046805218,0.951704,0.000010569181,0.00031346825,0.0003430829],"study_design_scores_gemma":[0.00022419913,0.000004188195,0.00002718658,0.00043842063,0.000022590311,0.0000051349043,0.00007310885,0.18677057,0.81212217,0.000004146332,0.00018297568,0.00012533892],"about_ca_topic_score_codex":0.00007578581,"about_ca_topic_score_gemma":0.0000032520447,"teacher_disagreement_score":0.13996536,"about_ca_system_score_codex":0.00007317578,"about_ca_system_score_gemma":0.000020209814,"threshold_uncertainty_score":0.6126551},"labels":[],"label_agreement":null},{"id":"W4405978301","doi":"10.1016/j.rineng.2024.103841","title":"Non Linear Thermal Radiation Analysis of Electromagnetic Chemically Reacting Ternary Nanofluid Flow over a Bilinear Stretching Surface","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Nanofluid; Ternary operation; Materials science; Thermal radiation; Flow (mathematics); Bilinear interpolation; Thermal; Thermal analysis; Thermodynamics; Chemical engineering; Mechanics; Mathematics; Physics; Computer science; Engineering","score_opus":0.0032355759234255783,"score_gpt":0.20764953581796713,"score_spread":0.20441395989454156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405978301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902029,0.0006960382,0.007793468,0.000018850256,0.00019772227,0.00016219348,0.000035756828,0.00018969839,0.00070336345],"genre_scores_gemma":[0.99548584,0.00024608706,0.0040483708,0.000007820645,0.00006459769,0.0000069576995,0.00006392196,0.00003875054,0.000037649326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998516,0.000012985311,0.00064214907,0.00026927513,0.00018590856,0.00037367863],"domain_scores_gemma":[0.99941534,0.0001737103,0.00002313896,0.00030352757,0.00003239569,0.0000518924],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002874587,0.00023581211,0.00043352347,0.00058888877,0.000020818963,0.00001807728,0.00017849465,0.00016889915,0.000011701945],"category_scores_gemma":[0.00006617403,0.00025640382,0.00015649022,0.0015361991,0.000010446109,0.00013320254,0.000022073134,0.0003425849,0.000001740143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027964385,0.000015278258,0.00088129827,0.0001013617,0.00018608679,0.0000042876422,0.00019862496,0.5263698,0.4711856,0.0000064744186,0.000014640129,0.0010085722],"study_design_scores_gemma":[0.0006654559,0.000023005367,0.0083850175,0.00015068818,0.00013950342,4.492084e-7,0.000009503574,0.7740652,0.2162856,9.099775e-7,0.00010511825,0.00016954521],"about_ca_topic_score_codex":0.0000771661,"about_ca_topic_score_gemma":0.0000141566625,"teacher_disagreement_score":0.25489998,"about_ca_system_score_codex":0.00015214387,"about_ca_system_score_gemma":0.000030564748,"threshold_uncertainty_score":0.9999888},"labels":[],"label_agreement":null},{"id":"W4406080107","doi":"10.1016/j.rineng.2025.103943","title":"Automated speech therapy through personalized pronunciation correction using reinforcement learning and large language models","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pronunciation; Computer science; Reinforcement learning; Natural language processing; Reinforcement; Speech therapy; Speech recognition; Artificial intelligence; Linguistics; Psychology; Audiology; Medicine; Social psychology","score_opus":0.018812858151487085,"score_gpt":0.27529237021562325,"score_spread":0.25647951206413616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406080107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084398754,0.00029641358,0.9113637,0.000052675285,0.0003118242,0.0001984865,9.023625e-7,0.0005836612,0.0027935528],"genre_scores_gemma":[0.95743513,0.00013550076,0.04199276,0.000060021826,0.000020703337,0.000012080547,0.000005788477,0.000007808921,0.0003302031],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992457,0.000033288063,0.00020125856,0.00020684872,0.00013442944,0.00017849442],"domain_scores_gemma":[0.99971807,0.000080799735,0.00004755404,0.00010235349,0.0000340456,0.000017178367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033789422,0.00009801624,0.000115807044,0.00016868334,0.0000621828,0.00007694454,0.00008797126,0.000057746118,0.000002930697],"category_scores_gemma":[0.00014187193,0.00009887595,0.00002403069,0.0003918605,0.0000051947413,0.00035592992,0.000043868764,0.00012327537,0.000001374547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012145681,0.000092521,0.00025243644,0.000111139336,0.00006494515,0.000039362007,0.016223634,0.7638669,0.023020852,0.0054605175,0.00012023234,0.19062601],"study_design_scores_gemma":[0.00090916886,0.000012783661,0.000118092794,0.00014128555,0.000002050518,0.0000057654197,0.00020126064,0.987318,0.010430779,0.00003919889,0.00072212017,0.000099485726],"about_ca_topic_score_codex":0.0000621216,"about_ca_topic_score_gemma":0.0000050994113,"teacher_disagreement_score":0.8730364,"about_ca_system_score_codex":0.0001232192,"about_ca_system_score_gemma":0.000026255606,"threshold_uncertainty_score":0.4032044},"labels":[],"label_agreement":null},{"id":"W4406142280","doi":"10.1016/j.rineng.2024.103864","title":"Evaluating climatic warming and the modulating effects of surface water and regional variables in western Bangladesh","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"NED University of Engineering and Technology; University of Calgary","keywords":"Environmental science; Climate change; Climatology; Surface water; Global warming; Physical geography; Geography; Ecology; Geology; Biology; Environmental engineering","score_opus":0.024254108911836075,"score_gpt":0.2618157632686295,"score_spread":0.2375616543567934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406142280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827015,0.0005414488,0.0000065277936,0.00083135994,0.000042120286,0.00024757674,0.000003755475,0.000016421978,0.000040650524],"genre_scores_gemma":[0.9994737,0.00010224619,0.00032749583,0.000030836167,0.000023964636,0.000008075736,0.000010870568,8.753878e-7,0.0000219254],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991981,0.00006310369,0.00026538843,0.00016511245,0.000103470426,0.00020483464],"domain_scores_gemma":[0.998482,0.0013984329,0.000042927048,0.000037621787,0.00001723823,0.000021803226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007680014,0.00010423643,0.00019629594,0.00002106075,0.000038044982,0.00003396403,0.00007846661,0.000061245395,9.793107e-7],"category_scores_gemma":[0.00041615937,0.000032859727,0.000018005252,0.0002256205,0.00002850216,0.00007589882,0.00009680118,0.00012589087,1.3273477e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013084427,0.000037343605,0.02081216,0.0008052698,0.000019862598,0.0000073151064,0.004946777,0.04304307,0.91976494,0.00016214517,0.000006962074,0.01026334],"study_design_scores_gemma":[0.004631119,0.00011670499,0.59498084,0.004638893,0.000034419365,0.000017031794,0.001390219,0.37151963,0.021810545,0.0004111305,0.000080197504,0.00036929062],"about_ca_topic_score_codex":0.00017526731,"about_ca_topic_score_gemma":0.00016625508,"teacher_disagreement_score":0.89795434,"about_ca_system_score_codex":0.000024802104,"about_ca_system_score_gemma":0.0000016804131,"threshold_uncertainty_score":0.13399808},"labels":[],"label_agreement":null},{"id":"W4406299694","doi":"10.1016/j.rineng.2025.104019","title":"Investigating lightweight recycled brick aggregate concrete incorporating EPS beads: Application to masonry units","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Higher Education Commission, Pakistan","keywords":"Masonry; Aggregate (composite); Brick; Materials science; Geotechnical engineering; Composite material; Civil engineering; Engineering","score_opus":0.007995174994996064,"score_gpt":0.2135094966279917,"score_spread":0.20551432163299566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406299694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88035977,0.0016080283,0.09683678,0.00050812407,0.0011407628,0.0010144741,0.00005079301,0.0020276753,0.016453568],"genre_scores_gemma":[0.9858756,0.00014383097,0.013222433,0.000097930795,0.00016556523,0.00019516997,0.00006266455,0.000090094705,0.0001466899],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976821,0.000035650577,0.00091754546,0.00050174864,0.00024332208,0.0006196661],"domain_scores_gemma":[0.99871653,0.00027280027,0.00011303377,0.00058696134,0.0001104053,0.00020026427],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044986335,0.0004165745,0.00043501763,0.00066118105,0.00008339663,0.00009917069,0.00045354135,0.00021747786,0.000001968658],"category_scores_gemma":[0.0006476743,0.0004825989,0.00004797454,0.0028909883,0.000030806692,0.00035211645,0.0001445585,0.0005252322,0.000037187263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003564095,0.0000030326144,0.0011470075,0.0004962138,0.00007179208,0.000025139138,0.000792882,0.8403083,0.10944507,0.0023285362,0.0006926381,0.044653747],"study_design_scores_gemma":[0.0008414711,0.000024668778,0.00088297925,0.0018001972,0.000013044637,0.0000075374255,0.000062526335,0.9318493,0.05693527,0.00008053532,0.0069525633,0.0005498811],"about_ca_topic_score_codex":0.000085254745,"about_ca_topic_score_gemma":0.00003094996,"teacher_disagreement_score":0.10551583,"about_ca_system_score_codex":0.0005685242,"about_ca_system_score_gemma":0.00006309924,"threshold_uncertainty_score":0.9997626},"labels":[],"label_agreement":null},{"id":"W4406316142","doi":"10.1016/j.rineng.2025.103953","title":"An innovative framework for incorporating iPhone LiDAR point cloud in digitized documentation of road operations","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan Science and Technology Agency; Council for Science, Technology and Innovation; Fusion Oriented REsearch for disruptive Science and Technology; Ministry of Land, Infrastructure, Transport and Tourism; Swine Innovation Porc","keywords":"Documentation; Lidar; Point cloud; Cloud computing; Point (geometry); Computer science; Remote sensing; Geography; Artificial intelligence; Operating system; Mathematics","score_opus":0.012155400616158163,"score_gpt":0.2657516914010784,"score_spread":0.25359629078492024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406316142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794073,0.00007691804,0.019246805,0.00007326479,0.00024310584,0.00022949545,0.00009851076,0.000034167777,0.0005904447],"genre_scores_gemma":[0.96898425,0.0000070511787,0.030672375,0.000021418122,0.000032906006,0.000006637302,0.00024747598,0.0000022846152,0.000025634268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99925065,0.000033300348,0.00036499285,0.00014699073,0.000071410504,0.00013265481],"domain_scores_gemma":[0.99960536,0.00018963717,0.00003981969,0.00009347149,0.0000511223,0.000020609912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046646484,0.00007983707,0.00014060937,0.00013803638,0.000034110115,0.000042805463,0.000086344306,0.000057609617,0.000008496949],"category_scores_gemma":[0.00047610234,0.00007327503,0.000015222435,0.00079775474,0.0000124683975,0.00029565507,0.0000047973176,0.00012611647,0.0000012035232],"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":[0.00017359867,0.000033555018,0.042576686,0.00009432832,0.000012599646,0.0000034506072,0.0034164523,0.92605364,0.0020978171,0.0030223737,0.0000090262165,0.022506468],"study_design_scores_gemma":[0.0018564941,0.00017430086,0.5142304,0.0007841858,0.0000037617717,8.246036e-7,0.0020930804,0.4736505,0.004402136,0.0024816785,0.000053806187,0.0002688902],"about_ca_topic_score_codex":0.0009867967,"about_ca_topic_score_gemma":0.0016797527,"teacher_disagreement_score":0.47165367,"about_ca_system_score_codex":0.000013228512,"about_ca_system_score_gemma":0.00003138339,"threshold_uncertainty_score":0.2988069},"labels":[],"label_agreement":null},{"id":"W4406362399","doi":"10.1016/j.rineng.2025.104035","title":"Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Compressibility factor; Compressibility; Equation of state; State (computer science); Carbon dioxide; Decision tree; Computer science; Tree (set theory); Data mining; Thermodynamics; Mathematics; Algorithm; Chemistry; Physics; Mathematical analysis; Organic chemistry","score_opus":0.02944034121928963,"score_gpt":0.25300679879053434,"score_spread":0.22356645757124471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406362399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8978821,0.0004979753,0.100977734,0.000005369645,0.00012837983,0.00015627847,0.00017133613,0.00006889627,0.00011193259],"genre_scores_gemma":[0.998949,0.00008441099,0.00092368014,7.5311925e-7,0.000008353363,0.0000046210266,0.000011715697,0.00001493168,0.0000025417953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916065,0.00001496793,0.00044050044,0.00015476774,0.00008426705,0.00014484096],"domain_scores_gemma":[0.9995278,0.00018543126,0.000049368617,0.00016790061,0.000030764837,0.000038719238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120943776,0.00013761573,0.00023711132,0.00022461293,0.000009763358,0.000009181009,0.000061936815,0.0000619812,4.4770317e-7],"category_scores_gemma":[0.00012082034,0.00014550821,0.00002595036,0.00022296449,0.00003257424,0.000087982524,0.000035149482,0.00011855945,2.3037456e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047031714,0.000020828875,0.0015271965,0.0005448529,0.000043281972,0.0000011512434,0.0003521258,0.647852,0.3482051,0.0000846556,1.19138974e-7,0.0013216402],"study_design_scores_gemma":[0.00051796617,0.000014428311,0.006546296,0.00033855165,0.000012924496,2.5321978e-7,0.000018341796,0.8018708,0.19054994,0.000048999875,0.0000074574996,0.00007402134],"about_ca_topic_score_codex":0.000056725876,"about_ca_topic_score_gemma":0.000020260877,"teacher_disagreement_score":0.15765515,"about_ca_system_score_codex":0.000079275764,"about_ca_system_score_gemma":0.000024796243,"threshold_uncertainty_score":0.59336525},"labels":[],"label_agreement":null},{"id":"W4406563846","doi":"10.1016/j.rineng.2025.104055","title":"Optimisation of trimethylolpropane ester synthesis from waste cooking oil methyl ester by response surface methodology, and its physicochemical properties and tribological characteristics","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Faculty of Engineering and Information Technology, University of Technology Sydney; University of Technology Sydney","keywords":"Trimethylolpropane; Tribology; Response surface methodology; Materials science; Chemical engineering; Cooking oil; Organic chemistry; Composite material; Chemistry; Chromatography; Engineering; Biodiesel; Catalysis","score_opus":0.03052448314420984,"score_gpt":0.23812670873459454,"score_spread":0.20760222559038471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406563846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995355,0.0022970708,0.0016973019,0.00007715681,0.00010191765,0.00009224385,0.00023502458,0.00007852079,0.00006574375],"genre_scores_gemma":[0.9954008,0.0006262898,0.0038186666,0.000008523606,0.000028569675,0.000016772101,0.000015449985,0.000022777722,0.00006215907],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988716,0.00015451557,0.00040682673,0.00026141325,0.0000876401,0.00021797133],"domain_scores_gemma":[0.997737,0.0019959447,0.000050661212,0.00013954584,0.00002940704,0.000047478814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000614615,0.00020791953,0.00046330376,0.00010948196,0.000019528938,0.000026442744,0.000092280425,0.00014858521,0.0000024001831],"category_scores_gemma":[0.0013709941,0.0001791356,0.00003071874,0.0001634312,0.000055083558,0.000111891844,0.000070767754,0.00021886543,4.361689e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005536898,0.000020824868,0.000037703736,0.0001884468,0.00007371681,0.0000038833273,0.00050985155,0.005927377,0.98401237,0.000013349687,0.000017292614,0.0086414805],"study_design_scores_gemma":[0.000673058,0.000025542648,0.0014700758,0.0004854481,0.000039641014,0.000002169902,0.0001249274,0.07157101,0.92517126,0.000008711073,0.00022447358,0.00020366203],"about_ca_topic_score_codex":0.000014569508,"about_ca_topic_score_gemma":3.7901728e-7,"teacher_disagreement_score":0.06564363,"about_ca_system_score_codex":0.000045237593,"about_ca_system_score_gemma":0.000011514947,"threshold_uncertainty_score":0.7304938},"labels":[],"label_agreement":null},{"id":"W4406616395","doi":"10.1016/j.rineng.2025.104087","title":"Bond behavior of galvanized iron fiber reinforced concrete with recycled coarse aggregate and model prediction using machine learning","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Recycled Aggregate Concrete Performance","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":"Calgary Laboratory Services","funders":"","keywords":"Galvanization; Aggregate (composite); Materials science; Bond; Composite material; Fiber; Structural engineering; Engineering; Layer (electronics); Business","score_opus":0.006807935752582803,"score_gpt":0.20621540689995624,"score_spread":0.19940747114737345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406616395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879263,0.00072008703,0.009682708,0.0000076033966,0.00011304913,0.0002944822,0.000038020582,0.00031288195,0.00090487144],"genre_scores_gemma":[0.98695296,0.0004912883,0.012126448,0.0000031374677,0.0000197589,0.000030308847,0.00003248012,0.000060762173,0.0002828816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986628,0.000014269957,0.0005566221,0.00026208546,0.00016815499,0.00033603926],"domain_scores_gemma":[0.99946153,0.00008058386,0.00009305128,0.00025086312,0.00004651833,0.00006746699],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019682266,0.0002783365,0.00038020848,0.00035621607,0.000042081465,0.000028016744,0.00011358836,0.00014856285,0.0000031108104],"category_scores_gemma":[0.000077376506,0.0002824496,0.00003736441,0.00042954256,0.000041330273,0.00029157396,0.000053575728,0.00043639625,6.761878e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020394067,8.2021023e-7,0.00040355537,0.00025576074,0.000025389274,0.000011227278,0.0001850066,0.8962614,0.10117016,0.000027945094,0.000004263867,0.0014505183],"study_design_scores_gemma":[0.0024606907,0.000047518428,0.00019010187,0.0009693566,0.000051857955,0.000018292263,0.00001781789,0.94984716,0.0460534,0.0000014388175,0.00010696287,0.00023540665],"about_ca_topic_score_codex":0.00006973945,"about_ca_topic_score_gemma":0.0000072080497,"teacher_disagreement_score":0.05511676,"about_ca_system_score_codex":0.00014989116,"about_ca_system_score_gemma":0.00002895317,"threshold_uncertainty_score":0.99996275},"labels":[],"label_agreement":null},{"id":"W4406741883","doi":"10.1016/j.rineng.2025.104161","title":"Possible bio cathode materials for usage in microbial fuel cells towards energy generation and wastewater treatment to sustain environment: A review","year":2025,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"International Islamic University Malaysia","keywords":"Microbial fuel cell; Waste management; Environmental science; Wastewater; Cathode; Biochemical engineering; Electricity generation; Chemistry; Engineering; Physics","score_opus":0.01643738277966501,"score_gpt":0.24547051344783236,"score_spread":0.22903313066816736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406741883","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00055751274,0.9954014,0.00024881054,0.000069689326,0.0003832817,0.0023956997,0.0008189824,0.000019656718,0.00010496826],"genre_scores_gemma":[0.00010859546,0.9963057,0.0017617032,0.00004756915,0.0001030205,0.00034536255,0.0006248217,0.000031400654,0.0006718235],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980436,0.00008265043,0.0007741453,0.00060116744,0.00012563952,0.00037282155],"domain_scores_gemma":[0.9994907,0.000060030197,0.000118912154,0.0002545638,0.000003760153,0.00007204625],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005957966,0.00039072876,0.0009067088,0.00023493308,0.000024700032,0.00004977955,0.00015604407,0.0002028812,0.000055244185],"category_scores_gemma":[0.000053038737,0.00032157372,0.000092369715,0.00028792894,0.000013773201,0.000068853056,0.0001493024,0.00006537646,0.000012638791],"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":[0.000044900466,0.00017687214,0.0000012337523,0.052810796,0.000050149887,0.000031801257,0.00048433404,0.010310099,0.13927306,0.000012210522,0.0018460709,0.7949585],"study_design_scores_gemma":[0.00045895646,0.0000784628,0.0000038673084,0.010429941,0.00014250394,0.0000029038001,0.000002309755,0.00031753568,0.012321431,0.0000010666731,0.9758202,0.0004208344],"about_ca_topic_score_codex":0.00044564283,"about_ca_topic_score_gemma":0.00025842743,"teacher_disagreement_score":0.9739741,"about_ca_system_score_codex":0.0012955238,"about_ca_system_score_gemma":0.00004282594,"threshold_uncertainty_score":0.99992365},"labels":[],"label_agreement":null},{"id":"W4406787790","doi":"10.1016/j.rineng.2025.104082","title":"Integration of emerging technologies in next-generation electric vehicles: Evolution, advancements, and regulatory prospects","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Balsillie School of International Affairs; University of Waterloo","funders":"","keywords":"Emerging technologies; Business; Computer science; Artificial intelligence","score_opus":0.0055598495539792795,"score_gpt":0.2025463352553989,"score_spread":0.1969864857014196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406787790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97455263,0.006052695,0.018581975,0.000033992594,0.00011690879,0.00019840087,0.0000019176084,0.00021604529,0.0002454558],"genre_scores_gemma":[0.9972521,0.00059288065,0.0020859633,0.0000018426033,0.00001717749,0.000020621343,0.000005676621,0.000011449524,0.000012280516],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992179,0.000006071876,0.0003487687,0.00015902631,0.00007931425,0.00018889568],"domain_scores_gemma":[0.9997769,0.000023042488,0.000029426219,0.00013631905,0.00002426761,0.0000100515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013561208,0.00011922918,0.00015163384,0.00061137875,0.000015557403,0.000013527703,0.000074065654,0.00010623776,3.2070315e-7],"category_scores_gemma":[0.00012172699,0.00012724315,0.000013858041,0.0010889394,0.000009588718,0.00020674443,0.000018692488,0.00022236015,1.3684469e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008135742,0.000006938261,0.0014952271,0.00011842651,0.000007712204,0.0000010398744,0.000115967545,0.35296082,0.60684365,0.0031512752,0.000039375165,0.035251405],"study_design_scores_gemma":[0.0005079219,0.00002192071,0.023260944,0.0002675159,0.000003544818,0.0000011842989,0.00012338297,0.8167478,0.15838748,0.00045439557,0.00010477041,0.000119124496],"about_ca_topic_score_codex":0.000014062874,"about_ca_topic_score_gemma":0.000041068663,"teacher_disagreement_score":0.463787,"about_ca_system_score_codex":0.00026483968,"about_ca_system_score_gemma":0.000016036813,"threshold_uncertainty_score":0.5188825},"labels":[],"label_agreement":null},{"id":"W4406852602","doi":"10.1016/j.rineng.2025.104183","title":"Pelletization and quality evaluation of torrefied selected biomass with microwave absorber","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pelletizing; Torrefaction; Biomass (ecology); Microwave; Quality (philosophy); Pulp and paper industry; Materials science; Environmental science; Process engineering; Waste management; Composite material; Pellets; Engineering; Agronomy; Pyrolysis; Physics; Telecommunications","score_opus":0.011538432658455618,"score_gpt":0.23889571081034985,"score_spread":0.22735727815189424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406852602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99421084,0.00048450063,0.003960064,0.00001867817,0.00006859423,0.00014301136,0.000006906386,0.000118994765,0.0009884279],"genre_scores_gemma":[0.9990799,0.000023881465,0.00083123095,0.000002353673,0.000006593877,0.000009706064,0.000017629021,0.000011850684,0.00001688018],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993174,0.000017142407,0.0002561046,0.00013834058,0.00015539641,0.00011559747],"domain_scores_gemma":[0.99959713,0.00009709444,0.000028715427,0.000116813404,0.00013871584,0.00002153978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031549414,0.00010122799,0.00013477517,0.00016808796,0.000007669511,0.000008593705,0.000057595673,0.00007708074,0.0000041036747],"category_scores_gemma":[0.00026034575,0.00009902454,0.000009624801,0.0006397064,0.000014724441,0.000057530422,0.000016203227,0.000072659044,7.3783104e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047828613,0.000009977294,0.0007853292,0.00043074467,0.000027976179,3.2231594e-7,0.00017760381,0.02255666,0.9735576,0.00007645102,0.000026335785,0.002303203],"study_design_scores_gemma":[0.0013224648,0.000008470132,0.012924596,0.00020446119,0.000020868574,6.343194e-7,0.000039082643,0.05227671,0.93300325,0.000019178606,0.000054374515,0.00012592119],"about_ca_topic_score_codex":0.000012820575,"about_ca_topic_score_gemma":0.000013819407,"teacher_disagreement_score":0.040554326,"about_ca_system_score_codex":0.00008932975,"about_ca_system_score_gemma":0.00002567799,"threshold_uncertainty_score":0.40381035},"labels":[],"label_agreement":null},{"id":"W4406872735","doi":"10.1016/j.rineng.2025.104094","title":"Traffic flow modelling of vehicles on a six lane freeway: Comparative analysis of improved group method of data handling and artificial neural network model","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ontario Ministry of Transportation","keywords":"Artificial neural network; Traffic flow (computer networking); Computer science; Artificial intelligence; Data mining; Transport engineering; Engineering; Computer network","score_opus":0.03977275906289343,"score_gpt":0.26697073984860864,"score_spread":0.2271979807857152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406872735","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28607154,0.00044269566,0.712981,0.000011173194,0.000076433265,0.00015828999,0.00013128553,0.000060048656,0.00006755972],"genre_scores_gemma":[0.93436044,0.00005396347,0.06548836,0.000001870964,0.000021138696,0.000005875517,0.000055103417,0.000009765931,0.000003497753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988225,0.000020956079,0.00060408405,0.00024365234,0.00011180923,0.00019699379],"domain_scores_gemma":[0.9992224,0.0003003981,0.000069577116,0.00035706203,0.00002345309,0.000027118562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045965807,0.00015896346,0.0005939899,0.00042500932,0.000014254884,0.000009051282,0.00020206135,0.000059947855,3.234363e-7],"category_scores_gemma":[0.000023071394,0.00015000546,0.00006512794,0.0007144985,0.000015901272,0.00007963669,0.000077333316,0.00014903981,3.066624e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014185895,0.0000331567,0.0000042608485,0.00021752856,0.00053031417,7.982802e-7,0.00048444548,0.97161824,0.005762652,0.00039940258,0.0000071324343,0.0208002],"study_design_scores_gemma":[0.0006200224,0.000027023852,0.0001808821,0.00016422394,0.00029099605,7.457014e-8,0.000064918975,0.9979337,0.00057684875,0.000018273273,0.000010828473,0.000112204834],"about_ca_topic_score_codex":0.000047205336,"about_ca_topic_score_gemma":0.00023381255,"teacher_disagreement_score":0.6482889,"about_ca_system_score_codex":0.000021456857,"about_ca_system_score_gemma":0.0000072268385,"threshold_uncertainty_score":0.6117045},"labels":[],"label_agreement":null},{"id":"W4407025230","doi":"10.1016/j.rineng.2025.104189","title":"Advanced graphene oxide synthesis for arsenic removal from groundwater in Mexico and Colombia","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidad de Guanajuato; Consejo Nacional de Ciencia y Tecnología; Universidad de Santander; Université de Sherbrooke","keywords":"Graphene; Arsenic; Groundwater; Oxide; Contaminated groundwater; Environmental science; Materials science; Geology; Contamination; Nanotechnology; Environmental remediation; Metallurgy; Geotechnical engineering; Ecology","score_opus":0.00440479137954112,"score_gpt":0.20635147285603128,"score_spread":0.20194668147649017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407025230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916257,0.00004501807,0.0068329317,0.00018086714,0.00008103766,0.0001981311,0.0000073488695,0.000025321946,0.0010036344],"genre_scores_gemma":[0.9919848,0.000028678034,0.007681328,0.000034719433,0.000004050279,0.000051533945,0.0000074999657,0.0000058538258,0.00020156316],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994123,0.000010854143,0.00018891251,0.00019648083,0.00005860604,0.00013284331],"domain_scores_gemma":[0.9996591,0.00020401795,0.000021040834,0.00009215073,0.0000023574573,0.00002132213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017163521,0.00007153405,0.000097078744,0.00007421851,0.000019894758,0.000009975921,0.000057016925,0.000044939414,0.00001170992],"category_scores_gemma":[0.00022095535,0.00007678322,0.000017928654,0.00016388163,0.000018725952,0.00010618051,0.000041787294,0.000055034387,0.0000023752705],"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":[0.0005805437,0.00020265659,0.044632833,0.0001040116,0.000044905086,0.000038282335,0.0026581127,0.17279842,0.40282622,0.0029876768,0.00034039738,0.37278596],"study_design_scores_gemma":[0.0028862793,0.000024912953,0.76719636,0.00028932115,0.00001357094,0.0000022921483,0.0002708545,0.16786039,0.05007078,0.0012099061,0.009881359,0.00029400378],"about_ca_topic_score_codex":0.00022692801,"about_ca_topic_score_gemma":0.0008514051,"teacher_disagreement_score":0.7225635,"about_ca_system_score_codex":0.00013110807,"about_ca_system_score_gemma":0.0000036070394,"threshold_uncertainty_score":0.31311288},"labels":[],"label_agreement":null},{"id":"W4407164783","doi":"10.1016/j.rineng.2025.104249","title":"Integration of a model-based systems engineering framework with safety assessment for early design phases: A case study for hydrogen-based aircraft fuel system architecting","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Technology Assessment and Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Mitacs; Technische Universität Hamburg","keywords":"Systems engineering; Engineering; Computer science; Systems design; System integration; Reliability engineering","score_opus":0.014933525865301372,"score_gpt":0.2700734594377598,"score_spread":0.2551399335724584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407164783","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13483533,0.00011193606,0.860288,0.00001208868,0.00027771364,0.0035577784,0.000055166904,0.00083032006,0.000031608997],"genre_scores_gemma":[0.7612411,0.0000011675565,0.23674235,0.0000019424238,0.000023972203,0.0019088279,0.000014475337,0.00006155844,0.000004607808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812317,0.000026601123,0.00081112515,0.00040239538,0.00018566792,0.00045105733],"domain_scores_gemma":[0.998359,0.00092583755,0.0001097618,0.00046605588,0.000089383655,0.000049923296],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009322791,0.0003813805,0.00053330377,0.00090932846,0.000063516185,0.000050222992,0.00022903824,0.00018102965,1.2025129e-7],"category_scores_gemma":[0.00014531298,0.00038503302,0.00009476354,0.00066341844,0.000013441273,0.00010062097,0.000025740377,0.00034367875,7.1917164e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022987709,0.00013076348,0.00008575924,0.0028303745,0.00021206835,0.0000641116,0.00034156707,0.99175894,0.0023089221,0.0012490164,0.000003540691,0.0007850472],"study_design_scores_gemma":[0.0044837603,0.00042344962,0.000050649283,0.0022506549,0.00013264704,0.0000080601285,0.001190434,0.9874634,0.0036374414,0.0000121918765,0.0000187105,0.00032856586],"about_ca_topic_score_codex":0.000049564922,"about_ca_topic_score_gemma":0.00002659085,"teacher_disagreement_score":0.6264058,"about_ca_system_score_codex":0.00059687014,"about_ca_system_score_gemma":0.00008930418,"threshold_uncertainty_score":0.99986017},"labels":[],"label_agreement":null},{"id":"W4407793963","doi":"10.1016/j.rineng.2025.104437","title":"ANN-GWO optimization of biolubricants from black soldier fly: A value-added approach to animal waste conversion","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Insect Utilization and Effects","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Universiti Tenaga Nasional; Ministry of Higher Education, Malaysia; University of Technology Sydney","keywords":"Value (mathematics); Waste management; Animal waste; Engineering; Mathematics; Statistics","score_opus":0.010672953059756303,"score_gpt":0.20131756186212701,"score_spread":0.19064460880237072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407793963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991963,0.000035611625,0.004833143,0.000115180585,0.00013695413,0.00024643185,0.00006691623,0.00005585893,0.0025468657],"genre_scores_gemma":[0.9976854,0.000018718227,0.0020023366,0.00005832555,0.00004897494,0.0000055208884,0.00011174371,0.0000010847357,0.00006790089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992704,0.000030591193,0.00021289357,0.00021551136,0.000104396146,0.00016625576],"domain_scores_gemma":[0.9997224,0.00010675664,0.000038178656,0.000052069114,0.00003605245,0.000044530167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015091166,0.000097531825,0.00014889783,0.000049145456,0.000027625032,0.00001661963,0.00012471959,0.00007834724,0.000012983232],"category_scores_gemma":[0.00015537263,0.000049634058,0.00003422339,0.0006984784,0.000013093245,0.00005895605,0.000057504567,0.000063759384,0.000002966969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017380294,0.00006996955,0.00040111164,0.00003441354,0.00001142842,9.600436e-7,0.00029402756,0.87253624,0.124574475,0.00009127054,0.0003643286,0.0014479423],"study_design_scores_gemma":[0.0004397176,0.00007854082,0.013655751,0.00013500104,0.000005920421,1.6476758e-7,0.0002155289,0.9605971,0.02434243,0.0000043671266,0.00040006754,0.00012540026],"about_ca_topic_score_codex":0.00019249858,"about_ca_topic_score_gemma":0.000008152713,"teacher_disagreement_score":0.10023205,"about_ca_system_score_codex":0.000034845136,"about_ca_system_score_gemma":0.0000060639263,"threshold_uncertainty_score":0.20240182},"labels":[],"label_agreement":null},{"id":"W4407821112","doi":"10.1016/j.rineng.2025.104446","title":"A numerical study on the effect of gate configuration on the hydraulic parameters of dam spillways","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Engineering; Mechanics; Geotechnical engineering; Environmental science; Physics","score_opus":0.007235745591759035,"score_gpt":0.22334510206769514,"score_spread":0.2161093564759361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407821112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99213636,0.00004205119,0.0016011391,0.0001371805,0.00027347342,0.0005360603,0.0000064117185,0.00006828663,0.005199012],"genre_scores_gemma":[0.99986976,0.000004905041,0.000020766362,0.000018767025,0.000016669914,0.000043530545,0.0000019518918,0.000014695326,0.000008927188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909246,0.00007379986,0.0003487844,0.00013700692,0.00017927798,0.0001686653],"domain_scores_gemma":[0.99834853,0.0012222109,0.00003491581,0.0003660162,0.000009992052,0.000018313103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004202505,0.00016854728,0.0002534675,0.00013139039,0.000022574131,0.000011917267,0.00021041092,0.000054375636,0.0000029992777],"category_scores_gemma":[0.000501408,0.000096233416,0.00006173751,0.00036457286,0.000021767302,0.00002186836,0.000014084792,0.0002766582,0.0000025996628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008267289,0.00001551441,0.00010996292,0.00007218668,0.00006146889,0.0000028844775,0.00061725156,0.99318165,0.0036667283,0.0004429313,0.00010857161,0.0016381723],"study_design_scores_gemma":[0.0014310889,0.0007417897,0.021478048,0.00044560828,0.00003120414,8.6985665e-7,0.00015628313,0.7245024,0.25069872,0.000033133467,0.00028315757,0.00019770119],"about_ca_topic_score_codex":0.000030260175,"about_ca_topic_score_gemma":0.0000020850623,"teacher_disagreement_score":0.26867926,"about_ca_system_score_codex":0.000041942614,"about_ca_system_score_gemma":0.0000057465713,"threshold_uncertainty_score":0.3924285},"labels":[],"label_agreement":null},{"id":"W4407959043","doi":"10.1016/j.rineng.2025.104415","title":"Enhancing machining efficiency of UNS S45000 alloy steel using cryogenically treated TiAlSiN coated tungsten carbide inserts","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Tungsten carbide; Metallurgy; Machining; Carbide; Materials science; Alloy; Tungsten","score_opus":0.006987619993166115,"score_gpt":0.23798515823746286,"score_spread":0.23099753824429675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407959043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84814405,0.00086092594,0.14861237,0.0000090200865,0.00031380393,0.00020229378,0.000019240468,0.00041676217,0.0014215528],"genre_scores_gemma":[0.9861031,0.000102947204,0.013613445,0.000010507421,0.000026403037,0.000008957043,0.000023195205,0.000056131434,0.000055300654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983586,0.000019087587,0.00079914666,0.0002943536,0.00014351806,0.0003852665],"domain_scores_gemma":[0.9993748,0.00016794285,0.00008571101,0.0002527798,0.00006124204,0.000057500634],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028128,0.00026015122,0.0003966755,0.00043076344,0.000043145294,0.000025322515,0.00019724788,0.00014894895,0.0000030563313],"category_scores_gemma":[0.00036237907,0.0002935345,0.000060651873,0.00097450806,0.00001878955,0.00012237551,0.000056747773,0.00027572148,8.682968e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030750354,0.000016983322,0.00022459138,0.00025437353,0.000028250097,0.000007606328,0.00033486926,0.77912164,0.2195414,0.000057558293,0.0000019587085,0.00038001873],"study_design_scores_gemma":[0.0008660866,0.000021274142,0.0005979005,0.00083933474,0.000023533677,0.0000031573368,0.000044897333,0.86656433,0.13073628,0.000006126035,0.0000633668,0.00023370328],"about_ca_topic_score_codex":0.00013719716,"about_ca_topic_score_gemma":0.00005069891,"teacher_disagreement_score":0.13795908,"about_ca_system_score_codex":0.0001892211,"about_ca_system_score_gemma":0.000040196992,"threshold_uncertainty_score":0.99995166},"labels":[],"label_agreement":null},{"id":"W4408093378","doi":"10.1016/j.rineng.2025.104550","title":"Uncovering key themes in modular construction waste management and exploring their impact and centrality","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Centrality; Key (lock); Modular design; Process management; Business; Knowledge management; Data science; Engineering; Computer science; Computer security","score_opus":0.00944785027446093,"score_gpt":0.20227941720822207,"score_spread":0.19283156693376113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408093378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98977417,0.0010887318,0.0071291123,0.00001689875,0.000404613,0.00013317475,0.000008458185,0.00012197009,0.0013228483],"genre_scores_gemma":[0.9973596,0.0011858658,0.0013779328,0.0000021342162,0.000023136781,0.00002635603,0.0000033594608,0.000011181916,0.000010436019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993122,0.000009250382,0.00025550454,0.00017218328,0.000055723795,0.00019509876],"domain_scores_gemma":[0.9997984,0.000031231353,0.0000139517,0.00011693529,0.000007916586,0.000031519612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011787938,0.00015132979,0.00014800765,0.00029788446,0.000020217632,0.000042053045,0.00004213576,0.00005304547,0.0000011310281],"category_scores_gemma":[0.000015736437,0.00014325336,0.000021575503,0.00028043686,0.00001778484,0.0002399028,0.00003067173,0.00016029837,2.1956265e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026236665,0.0000054874226,0.0068495963,0.00028185316,0.000047188973,0.0000054274724,0.0007035555,0.9118524,0.0024545758,0.0027424307,0.000004751325,0.07502648],"study_design_scores_gemma":[0.0022950121,0.000019491494,0.119197585,0.0012448459,0.00001682038,0.000024447798,0.0030650941,0.8557257,0.015409598,0.0015237766,0.001007406,0.0004702399],"about_ca_topic_score_codex":0.00003567476,"about_ca_topic_score_gemma":0.00002609135,"teacher_disagreement_score":0.11234799,"about_ca_system_score_codex":0.00014548775,"about_ca_system_score_gemma":0.0000042985544,"threshold_uncertainty_score":0.5841702},"labels":[],"label_agreement":null},{"id":"W4408128274","doi":"10.1016/j.rineng.2025.104551","title":"Enhancing tribological performance: A comprehensive review of graphene-based additives in lubricating greases","year":2025,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Lubricants and Their Additives","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":"University of Waterloo; Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Graphene; Tribology; Materials science; Nanotechnology; Composite material","score_opus":0.02051583293875667,"score_gpt":0.2739619501666846,"score_spread":0.2534461172279279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408128274","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007395676,0.9968806,0.0003492544,0.0000030982267,0.00021729966,0.0008100668,0.00054636784,0.0001741077,0.0009452431],"genre_scores_gemma":[0.001672469,0.9967268,0.00085972913,0.000013385216,0.00006689763,0.00028826002,0.00030332303,0.00006041505,0.000008701656],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9970338,0.00011046475,0.0016588076,0.00045054415,0.00022584878,0.00052055967],"domain_scores_gemma":[0.99735296,0.0018595967,0.00023854582,0.00041382216,0.00006127234,0.00007381994],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038319812,0.00061410095,0.0025068764,0.0009638873,0.000020542046,0.000013154727,0.00039089707,0.00025429274,0.00002085598],"category_scores_gemma":[0.000841993,0.0005405934,0.00037851275,0.0018289493,0.000047247937,0.000099457975,0.00008200069,0.0007236791,0.000003412403],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009028441,0.000047016394,0.000004515221,0.5259053,0.00008932044,0.00003964071,0.00004718525,0.01193979,0.000008563684,0.000024685924,0.000076783086,0.46180815],"study_design_scores_gemma":[0.00063251954,0.00004558324,0.00012253672,0.8119891,0.0001373523,0.00001046008,0.000020866335,0.0059943823,0.00014725357,0.000002001447,0.18021241,0.00068554026],"about_ca_topic_score_codex":0.0000101091855,"about_ca_topic_score_gemma":0.0000033886013,"teacher_disagreement_score":0.4611226,"about_ca_system_score_codex":0.00023002036,"about_ca_system_score_gemma":0.00014885169,"threshold_uncertainty_score":0.99970454},"labels":[],"label_agreement":null},{"id":"W4408168597","doi":"10.1016/j.rineng.2025.104523","title":"Deep analysis of chemically treated Jute/Kenaf and glass fiber reinforced with SiO2 nanoparticles by utilizing RSM optimization","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences; Department of Mechanical Engineering, University of Alberta; Saveetha Institute of Medical and Technical Sciences","keywords":"Kenaf; Materials science; Composite material; Response surface methodology; Fiber; Nanoparticle; Pulp and paper industry; Chemistry; Nanotechnology; Engineering; Chromatography","score_opus":0.004008776008099574,"score_gpt":0.20670865513825243,"score_spread":0.20269987913015286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408168597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926632,0.00022841695,0.0064458596,0.000046454657,0.00002315436,0.00013455827,0.000012416077,0.000086736414,0.00035920815],"genre_scores_gemma":[0.9824811,0.000023893057,0.017292676,0.000010633489,0.000004269008,0.00000878438,0.000042529366,0.0000099961435,0.0001261014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998977,0.00001317003,0.00039582394,0.00024300897,0.00014967912,0.00022132156],"domain_scores_gemma":[0.99937665,0.00016553626,0.00008542352,0.00026780198,0.000059122907,0.00004547054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014353087,0.00014622405,0.00029130062,0.00023053643,0.000027114835,0.00004464067,0.00017286936,0.00007512877,0.000012528978],"category_scores_gemma":[0.00017547552,0.00012412532,0.0000330997,0.0012249739,0.00003308226,0.0001774085,0.000086371576,0.000098098986,9.2332243e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080747646,0.0000024114308,0.000048531634,0.000024006597,0.000038081555,0.0000011985474,0.00006249426,0.52283645,0.47676048,0.000040650473,0.0000048252496,0.00010013614],"study_design_scores_gemma":[0.00041137915,0.00001576698,0.00018550018,0.00010147651,0.000073040195,6.156788e-7,0.000010230766,0.50290734,0.49620074,8.3454125e-7,0.000013354838,0.00007972213],"about_ca_topic_score_codex":0.00006137953,"about_ca_topic_score_gemma":0.000005983317,"teacher_disagreement_score":0.019929117,"about_ca_system_score_codex":0.00006055555,"about_ca_system_score_gemma":0.000011777386,"threshold_uncertainty_score":0.50616837},"labels":[],"label_agreement":null},{"id":"W4408201434","doi":"10.1016/j.rineng.2025.104581","title":"Numerical study on the punching shear strength of edge steel-reinforced concrete slab-column connections","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Structural Behavior of Reinforced Concrete","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":"Slab; Structural engineering; Punching; Column (typography); Reinforced concrete; Enhanced Data Rates for GSM Evolution; Materials science; Shear (geology); Shear strength (soil); Geology; Geotechnical engineering; Composite material; Engineering","score_opus":0.011114808413895956,"score_gpt":0.2379583181139503,"score_spread":0.22684350970005435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408201434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899867,0.000071519855,0.002417204,0.00005504714,0.0008754358,0.0007280821,0.000028600847,0.00040712007,0.0054302723],"genre_scores_gemma":[0.99932134,0.0000067960495,0.0003194599,0.000014878555,0.000049605893,0.000068616115,0.000007331309,0.000038636335,0.00017334823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837184,0.000033460285,0.0006709944,0.00025480016,0.0002666088,0.00040231989],"domain_scores_gemma":[0.9985485,0.0007209012,0.000056121302,0.00056481914,0.00004564216,0.00006401585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002870026,0.00030185512,0.00038948457,0.00033131524,0.00006707374,0.000047171514,0.0003735792,0.000115928815,0.00001461628],"category_scores_gemma":[0.00048754245,0.00026012186,0.00010328396,0.00080829766,0.000031659227,0.00012278919,0.00006119114,0.000621347,0.000007860385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049748585,9.707636e-7,0.00018355179,0.00006482364,0.000097915276,0.000011460641,0.00093495846,0.9709593,0.02354296,0.0029431581,0.00008015058,0.0011309739],"study_design_scores_gemma":[0.002653454,0.00025115002,0.008903887,0.00047419465,0.000064409454,0.0000057895904,0.0012823078,0.88710904,0.09762591,0.0000064496776,0.0010919546,0.0005314233],"about_ca_topic_score_codex":0.000088656176,"about_ca_topic_score_gemma":0.000001429285,"teacher_disagreement_score":0.083850265,"about_ca_system_score_codex":0.00019476048,"about_ca_system_score_gemma":0.000030549345,"threshold_uncertainty_score":0.9999851},"labels":[],"label_agreement":null},{"id":"W4408477836","doi":"10.1016/j.rineng.2025.104651","title":"Flow rate perturbations for enhanced heat transfer and fouling mitigation in once-through steam generators","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Heat transfer and supercritical fluids","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada's Oil Sands Innovation Alliance; Canada First Research Excellence Fund","keywords":"Fouling; Heat transfer; Mechanics; Flow (mathematics); Environmental science; Volumetric flow rate; Petroleum engineering; Materials science; Nuclear engineering; Chemistry; Engineering; Physics; Membrane","score_opus":0.00820902797495199,"score_gpt":0.2320999061409551,"score_spread":0.22389087816600312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408477836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.512604,0.0004930276,0.48563763,0.000114829505,0.00022432231,0.00023083,0.000033652945,0.00010259002,0.00055909413],"genre_scores_gemma":[0.99528694,0.00036325434,0.004062868,0.000044965072,0.000052721032,0.00012300453,0.000031610587,0.000026109989,0.000008524383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902207,0.000015733101,0.00038166234,0.00021323598,0.000060554677,0.00030674908],"domain_scores_gemma":[0.9995468,0.00027355863,2.3145414e-7,0.00010867668,0.000022868808,0.000047860638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019173426,0.00016266362,0.0002144247,0.00017087861,0.000031717944,0.000028765427,0.000058930458,0.00012178641,0.000001835378],"category_scores_gemma":[0.00011752319,0.00018156358,0.0000400036,0.00034158095,0.00001381501,0.0001959173,0.000004829002,0.0001910243,6.5088585e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021440967,0.000013465304,0.000023950972,0.00033279654,0.0000140919365,0.0000022326756,0.0016047013,0.67329794,0.32071856,0.0023383761,0.000016933818,0.0016154747],"study_design_scores_gemma":[0.0014732198,0.000018695977,0.0005082695,0.00032060157,0.000008533428,4.9148326e-7,0.00007454418,0.7352844,0.26155967,0.00017132868,0.000393792,0.0001864856],"about_ca_topic_score_codex":0.00001554104,"about_ca_topic_score_gemma":0.000065321175,"teacher_disagreement_score":0.4826829,"about_ca_system_score_codex":0.000116328214,"about_ca_system_score_gemma":0.000019254207,"threshold_uncertainty_score":0.7403948},"labels":[],"label_agreement":null},{"id":"W4408564396","doi":"10.1016/j.rineng.2025.104644","title":"Plastic waste as an alternative sustainable fuel in internal combustion (IC) engines – A comprehensive review","year":2025,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Hearing Industry Research Consortium; Department of Mechanical Engineering, University of Alberta; King Fahd University of Petroleum and Minerals","keywords":"Combustion; Waste management; Alternative fuels; Internal combustion engine; Plastic waste; Environmental science; Process engineering; Automotive engineering; Engineering; Chemistry","score_opus":0.017140052415643304,"score_gpt":0.2936255821091067,"score_spread":0.2764855296934634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408564396","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000100506346,0.9931202,0.0014738997,0.000015559424,0.00030648807,0.0013696662,0.000014771375,0.00015057303,0.003448367],"genre_scores_gemma":[0.0006213447,0.99755484,0.0005343315,0.000022498796,0.00005836305,0.00020617717,0.00007976991,0.00003888482,0.0008838135],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975841,0.00014226943,0.0008937612,0.0006298049,0.00027827683,0.00047179114],"domain_scores_gemma":[0.9988305,0.00043908064,0.00021975505,0.00042150696,0.000015521351,0.0000736183],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005525621,0.0004665163,0.0011180487,0.0005170513,0.000022834329,0.000050875376,0.0006010812,0.00016088026,0.000019026598],"category_scores_gemma":[0.00059220975,0.0004339197,0.00015039076,0.0009237636,0.00003306411,0.00024481697,0.0004889828,0.0006214236,0.000034533714],"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":[0.000029309746,0.0001420243,0.000013794866,0.1849283,0.00006528139,0.00054490997,0.0001952737,0.1563211,0.0000017440286,0.00029641963,0.0008624749,0.65659934],"study_design_scores_gemma":[0.00055501005,0.00015236928,0.000021686203,0.26625878,0.00015672955,0.000019773854,0.00010737391,0.01620342,0.000006660706,0.00011530552,0.71563524,0.0007676421],"about_ca_topic_score_codex":0.00051987474,"about_ca_topic_score_gemma":0.000019932046,"teacher_disagreement_score":0.71477276,"about_ca_system_score_codex":0.0007207985,"about_ca_system_score_gemma":0.000025233963,"threshold_uncertainty_score":0.99981123},"labels":[],"label_agreement":null},{"id":"W4408569643","doi":"10.1016/j.rineng.2025.104597","title":"Designing empirical fourier decomposition reinforced with multiscale increment entropy and deep learning to forecast dry bulb air temperature","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hilbert–Huang transform; Fourier transform; Entropy (arrow of time); Environmental science; Mathematics; Materials science; Meteorology; Econometrics; Thermodynamics; Statistics; Physics; Mathematical analysis","score_opus":0.007976094400400946,"score_gpt":0.26448332018383147,"score_spread":0.25650722578343055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408569643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11370595,0.00010428386,0.88530576,0.00030632783,0.00010236448,0.00017838896,4.5440416e-7,0.0001122477,0.00018425149],"genre_scores_gemma":[0.5137557,0.0000066650828,0.48590475,0.00013166753,0.000029029947,0.000014705347,0.0000026824093,0.0000084596895,0.00014638036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988283,0.000074372096,0.000257598,0.0003511087,0.00018142258,0.0003072125],"domain_scores_gemma":[0.9993786,0.00023574283,0.00003454278,0.0002133979,0.00005057618,0.00008711823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005647676,0.00016427183,0.00018551921,0.0002935201,0.00010794872,0.00013313236,0.00020858871,0.00007721448,4.7454924e-7],"category_scores_gemma":[0.00021171213,0.00014777113,0.000024487732,0.000564465,0.000011344369,0.00026140246,0.00015440845,0.0003219953,0.0000014737453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022862172,0.000013623234,0.0006604756,0.00006480883,0.0000255099,0.00009564812,0.0028881938,0.8608023,0.10645847,0.00041242875,0.00003849098,0.028311437],"study_design_scores_gemma":[0.0017160344,0.00015720402,0.0051848646,0.00049198634,0.000007491798,0.000014912674,0.00006345849,0.9176511,0.07375893,0.00002009893,0.0006911443,0.00024277909],"about_ca_topic_score_codex":0.000019063375,"about_ca_topic_score_gemma":0.0000045269667,"teacher_disagreement_score":0.40004972,"about_ca_system_score_codex":0.00010377355,"about_ca_system_score_gemma":0.000026000882,"threshold_uncertainty_score":0.6025932},"labels":[],"label_agreement":null},{"id":"W4409149816","doi":"10.1016/j.rineng.2025.104773","title":"SI-CL-SDEO algorithm for improving HDFS performance and data reliability","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Reliability (semiconductor); Algorithm; Reliability engineering; Engineering; Physics","score_opus":0.010277865154845101,"score_gpt":0.2583167193673282,"score_spread":0.2480388542124831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409149816","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046566017,0.00013070971,0.9938255,0.00019883964,0.00026162647,0.00030769777,0.00001759952,0.0003059773,0.00029547696],"genre_scores_gemma":[0.29737878,0.00004569788,0.7023176,0.00003579423,0.00003289337,0.000043711716,0.000011328191,0.000007224552,0.00012699305],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988653,0.000008888181,0.0002733959,0.00049917423,0.000098509394,0.00025472854],"domain_scores_gemma":[0.9987465,0.00015429895,0.000036272028,0.0009996467,0.00003768146,0.00002559626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000912616,0.00011504042,0.00012968168,0.00014277197,0.000042748117,0.00008427424,0.0008663466,0.000049825412,1.7186997e-7],"category_scores_gemma":[0.0003878836,0.00011985641,0.000012779076,0.00030523664,0.000015392561,0.00073813833,0.00076261983,0.00013832,5.2093145e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008387917,0.00002701867,0.000083915125,0.00031967813,0.0000053968365,0.0000024559997,0.00015555297,0.001232877,0.0028904404,0.0005413681,0.0005081635,0.9942247],"study_design_scores_gemma":[0.0003801577,0.000028315828,0.0007288994,0.00010759074,0.0000021638446,0.0000010272914,0.0000035950068,0.97760046,0.017009107,0.0000648978,0.0039537037,0.00012010741],"about_ca_topic_score_codex":0.000018535164,"about_ca_topic_score_gemma":0.0000018074186,"teacher_disagreement_score":0.9941046,"about_ca_system_score_codex":0.00007407611,"about_ca_system_score_gemma":0.00003625391,"threshold_uncertainty_score":0.48876026},"labels":[],"label_agreement":null},{"id":"W4409149830","doi":"10.1016/j.rineng.2025.104758","title":"Evaluation of geological hazards along the Karaj water conveyance tunnel using multiple approaches and GIS","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Chicoutimi","funders":"","keywords":"Geologic hazards; Environmental science; Civil engineering; Mining engineering; Geology; Engineering; Geotechnical engineering; Landslide","score_opus":0.030071966800002424,"score_gpt":0.23674328736158123,"score_spread":0.2066713205615788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409149830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99602836,0.000221146,0.0019357644,0.00013372609,0.00008885059,0.00016865053,0.0000026951889,0.000012594185,0.001408188],"genre_scores_gemma":[0.99909043,0.000025718511,0.0008155065,0.000008044399,0.000010242682,0.0000080035,0.0000026898342,0.0000041240733,0.00003521927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999217,0.00004444017,0.00019977453,0.00016487471,0.00021768418,0.00015623347],"domain_scores_gemma":[0.99975485,0.00006480637,0.000023429347,0.0001311161,0.000008564309,0.000017262122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012853408,0.000077558354,0.000102042686,0.000030075773,0.000039704304,0.000010662819,0.00009173325,0.000075103955,0.00002163053],"category_scores_gemma":[0.00018093958,0.000042398642,0.00002028129,0.00012249053,0.00007143479,0.000058457917,0.00012201886,0.00012155173,0.000002013293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001984472,0.000015160475,0.015361771,0.000015671532,0.000015102011,0.0000012717793,0.0006287325,0.9669701,0.005913252,0.00002149147,0.000009068141,0.011028565],"study_design_scores_gemma":[0.0006462583,0.000007836423,0.097216174,0.00005118536,0.000025398054,0.0000027739266,0.000067412926,0.8975232,0.00416539,0.00006251649,0.00016954662,0.00006227815],"about_ca_topic_score_codex":0.00022937184,"about_ca_topic_score_gemma":0.00006327337,"teacher_disagreement_score":0.0818544,"about_ca_system_score_codex":0.00008442236,"about_ca_system_score_gemma":0.0000075333983,"threshold_uncertainty_score":0.17289665},"labels":[],"label_agreement":null},{"id":"W4409322775","doi":"10.1016/j.rineng.2025.104743","title":"The impact of artificial intelligence on research efficiency","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Artificial intelligence; Computer science","score_opus":0.031614654821151465,"score_gpt":0.34686149060286686,"score_spread":0.3152468357817154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409322775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88792235,0.0018688993,0.089919955,0.00048166543,0.0034375542,0.0005136819,0.000024695017,0.0005025067,0.015328708],"genre_scores_gemma":[0.99956876,0.00013336417,0.00016737373,8.362394e-7,0.00006090066,0.000016560234,0.0000022630857,0.000010897351,0.000039034552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905694,0.000014137095,0.00031978157,0.00011754789,0.00017560567,0.00031596405],"domain_scores_gemma":[0.9990894,0.0005828679,0.00000933706,0.00024437386,0.00003453578,0.00003944914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079300255,0.00009656575,0.00010366525,0.00035322856,0.000037781345,0.000021301625,0.00023250823,0.000074129566,0.0000021485125],"category_scores_gemma":[0.00053550006,0.00006921369,0.000045423873,0.0010924279,0.00004616582,0.000026938265,0.000024014487,0.00038613103,0.000009570782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002104904,0.000031105694,0.00001223801,0.00009185527,0.000012905084,9.051738e-7,0.0001679602,0.9585751,0.0030484707,0.0039694877,0.0004027196,0.033666197],"study_design_scores_gemma":[0.00006725622,0.000059104605,0.0042804643,0.00030852307,0.000001269365,4.9948335e-7,0.00006665615,0.98371196,0.010248398,0.0006523416,0.0005113968,0.00009216123],"about_ca_topic_score_codex":0.000043813434,"about_ca_topic_score_gemma":0.000004101613,"teacher_disagreement_score":0.111646436,"about_ca_system_score_codex":0.00019152618,"about_ca_system_score_gemma":0.00003484047,"threshold_uncertainty_score":0.28224525},"labels":[],"label_agreement":null},{"id":"W4409537285","doi":"10.1016/j.rineng.2025.104989","title":"Integrating unsupervised machine learning, statistical analysis, and Monte Carlo simulation to assess toxic metal contamination and salinization in non-rechargeable aquifers","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Princess Nourah Bint Abdulrahman University; Magyar Tudományos Akadémia","keywords":"Aquifer; Contamination; Monte Carlo method; Environmental science; Groundwater contamination; Groundwater; Computer science; Geology; Statistics; Geotechnical engineering; Ecology; Mathematics","score_opus":0.010756054429430138,"score_gpt":0.25718510799288136,"score_spread":0.2464290535634512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409537285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.307784,0.000043674685,0.69171405,0.00013038529,0.00003551918,0.00009845273,0.0000031742022,0.000032650376,0.00015812195],"genre_scores_gemma":[0.98305506,0.000010704895,0.016779799,0.000015247855,0.000006315444,0.000009527093,0.000019958497,0.0000019726895,0.000101400256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913627,0.00004439847,0.00028102266,0.0002945345,0.00009006417,0.0001537139],"domain_scores_gemma":[0.9994084,0.0003559601,0.000036973797,0.00010945248,0.00005062483,0.000038584338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005845762,0.000102795886,0.0001856273,0.0003738785,0.000034956003,0.00006998285,0.000096789016,0.000060978597,0.0000010463962],"category_scores_gemma":[0.0014486331,0.00010712162,0.000012704105,0.0010584379,0.0000068282297,0.00016888148,0.00009059369,0.00017085299,1.9538861e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008858512,0.000009323743,0.02332628,0.000044548786,0.000017802973,0.0000041468497,0.0006421218,0.9695186,0.0021878097,0.00057194865,7.293425e-7,0.003667831],"study_design_scores_gemma":[0.0004014709,0.000018180415,0.0722869,0.000068940164,0.000012200445,3.459221e-7,0.00006735025,0.9259708,0.0009952688,0.00002965036,0.00005862846,0.00009030611],"about_ca_topic_score_codex":0.00018812313,"about_ca_topic_score_gemma":0.00017135528,"teacher_disagreement_score":0.6752711,"about_ca_system_score_codex":0.000052011128,"about_ca_system_score_gemma":0.000012934269,"threshold_uncertainty_score":0.43682927},"labels":[],"label_agreement":null},{"id":"W4409727153","doi":"10.1016/j.rineng.2025.104885","title":"Policy pathways utilizing extended producer responsibility and eco-modulation frameworks for sustainable food packaging waste management in India: A review","year":2025,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Creative Europe","keywords":"Business; Food packaging; Extended producer responsibility; Food waste; Environmental planning; Process management; Environmental economics; Waste management; Engineering; Environmental science; Food science; Economics; Chemistry","score_opus":0.01604026343439462,"score_gpt":0.278094601902173,"score_spread":0.26205433846777837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409727153","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004542148,0.98265594,0.0011145591,0.0003202503,0.00024518845,0.010815352,0.00001861764,0.00022318512,0.004561459],"genre_scores_gemma":[0.0033234768,0.99124926,0.0011768347,0.00027898813,0.00059244456,0.002485295,0.0002529474,0.00014022292,0.00050054357],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99517405,0.000082334336,0.0016913882,0.0014330185,0.00036579726,0.0012534257],"domain_scores_gemma":[0.99767786,0.00046170162,0.00054737204,0.0010860211,0.0001939415,0.000033105436],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004438985,0.0008258405,0.0017645531,0.004309105,0.00013028049,0.0003734449,0.0005415899,0.00046081844,0.0000030908475],"category_scores_gemma":[0.0050624344,0.00085843203,0.00027601107,0.0042795,0.000028258992,0.00089147425,0.0011486362,0.0009737625,0.000002790945],"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":[0.0000406003,0.000059339643,0.0000047692038,0.42249644,0.00009350308,0.000102409445,0.000048333255,0.0017102129,4.7311634e-8,0.026793024,0.000188416,0.5484629],"study_design_scores_gemma":[0.0019306429,0.000029638037,0.0003657704,0.19553448,0.0006306477,0.0000031781324,0.0014126707,0.013150307,3.265071e-7,0.0054771444,0.78004146,0.0014237241],"about_ca_topic_score_codex":0.000072940755,"about_ca_topic_score_gemma":0.000016226757,"teacher_disagreement_score":0.77985305,"about_ca_system_score_codex":0.0012588823,"about_ca_system_score_gemma":0.00019105944,"threshold_uncertainty_score":0.99938667},"labels":[],"label_agreement":null},{"id":"W4410291747","doi":"10.1016/j.rineng.2025.105308","title":"Performance of an adsorption cooling system using MOF-303 adsorbent: Mathematical modelling using experimentally measured properties","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; King Fahd University of Petroleum and Minerals","keywords":"Adsorption; Materials science; Water cooling; Chemical engineering; Chromatography; Biomedical engineering; Chemistry; Thermodynamics; Physics; Physical chemistry; Engineering","score_opus":0.033487198941558854,"score_gpt":0.23481486260141923,"score_spread":0.20132766365986038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410291747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7925901,0.00047506506,0.20567936,7.1932885e-7,0.0003599907,0.0002603719,0.0000049462938,0.0003484064,0.00028108753],"genre_scores_gemma":[0.9882879,0.00001945543,0.011517795,0.0000015371073,0.000073900126,0.000020880858,0.0000050053636,0.000059309023,0.00001418176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815434,0.000034389537,0.0009010273,0.0002609904,0.0002845237,0.0003646975],"domain_scores_gemma":[0.99942064,0.000026280994,0.00008146571,0.00033032705,0.00007266578,0.00006864686],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047201745,0.00027511845,0.00042268223,0.00041432242,0.00004666079,0.000043230462,0.00019204186,0.00015497295,0.0000015105109],"category_scores_gemma":[0.000026699661,0.00028955104,0.00006757783,0.0004239046,0.000021559586,0.0003269294,0.000035262634,0.00021897204,0.0000025196377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000658485,0.000022251066,0.000023594903,0.0015281818,0.000026935262,0.00000193386,0.0007101185,0.7760624,0.2213105,0.00015808482,2.6184344e-7,0.000089879315],"study_design_scores_gemma":[0.00060782384,0.000017372255,0.000017338309,0.003971865,0.000020524567,0.000019184848,0.00062247855,0.90979475,0.08468083,0.0000018443544,0.0000049811724,0.00024102606],"about_ca_topic_score_codex":0.000034685447,"about_ca_topic_score_gemma":0.0000014523163,"teacher_disagreement_score":0.19569787,"about_ca_system_score_codex":0.00048103405,"about_ca_system_score_gemma":0.000038816845,"threshold_uncertainty_score":0.99995565},"labels":[],"label_agreement":null},{"id":"W4410419555","doi":"10.1016/j.rineng.2025.105344","title":"Cushion gas replacement on underground gas storage in a naturally fracture aquifer: Cushion gas strategies for matrix-independent storage","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cushion; Petroleum engineering; Environmental science; Aquifer; Underground storage; Underground storage tank; Waste management; Geology; Engineering; Geotechnical engineering; Storage tank; Groundwater; Structural engineering","score_opus":0.005939913384409989,"score_gpt":0.24279574068505166,"score_spread":0.23685582730064167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410419555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87909365,0.0018305039,0.11152135,0.0011655168,0.0014266995,0.0010349359,0.000047959835,0.0007417732,0.003137589],"genre_scores_gemma":[0.99788594,0.00041340198,0.0007261601,0.0000466361,0.00017166036,0.00010895609,0.00009717083,0.00007701689,0.00047303332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997382,0.000052800206,0.00078846613,0.00060561066,0.00043236045,0.0007387495],"domain_scores_gemma":[0.99879175,0.00033942578,0.000083330815,0.00062618364,0.000046063215,0.00011324785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00071113097,0.00050356745,0.00055150635,0.0010185497,0.00007896225,0.00019203554,0.0003789039,0.00039390445,0.000012583967],"category_scores_gemma":[0.00019439979,0.0004853,0.00019140141,0.0006969139,0.00001685153,0.0003135382,0.000067744404,0.0010342177,0.00000981828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029877905,0.00007249968,0.000048975533,0.00056012697,0.000118239004,0.000060743045,0.0006617624,0.9953459,0.0010638955,0.00022977171,0.00097415375,0.0005651837],"study_design_scores_gemma":[0.0031412204,0.00013920206,0.0017177125,0.0012557745,0.000052084684,0.0000064955266,0.0008684116,0.9792745,0.0022214851,0.0003187638,0.010333421,0.0006708985],"about_ca_topic_score_codex":0.00016151788,"about_ca_topic_score_gemma":0.0005835952,"teacher_disagreement_score":0.11879229,"about_ca_system_score_codex":0.0011341455,"about_ca_system_score_gemma":0.00008135328,"threshold_uncertainty_score":0.99975985},"labels":[],"label_agreement":null},{"id":"W4410457849","doi":"10.1016/j.rineng.2025.105362","title":"Approaches to the stability analysis of slopes subjected to seismic loading: A review","year":2025,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Geology; Stability (learning theory); Geotechnical engineering; Seismology; Computer science","score_opus":0.06502182395868668,"score_gpt":0.26458091560333796,"score_spread":0.1995590916446513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410457849","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009446045,0.93816364,0.059680447,0.00009108871,0.00014726567,0.0010209265,0.00027896184,0.00035912282,0.0002490886],"genre_scores_gemma":[0.0018077085,0.996107,0.0013674741,0.000021154354,0.00004412142,0.00038370155,0.00014239347,0.00006860989,0.000057835307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968207,0.000077393386,0.0016429015,0.00060750404,0.00031903246,0.00053247984],"domain_scores_gemma":[0.9976558,0.0006835358,0.00010044991,0.0013437202,0.00004507546,0.0001714018],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011991101,0.0006416871,0.00323366,0.0018690921,0.000022809149,0.000030441346,0.00091356126,0.00027039577,0.000008019607],"category_scores_gemma":[0.0014996398,0.0004956038,0.0009959743,0.0130803,0.000012646003,0.00003905504,0.00018931205,0.00071625994,0.000013918215],"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":[0.000001480525,0.000015647764,2.441105e-7,0.048589606,0.00093525636,0.0000022570455,0.00005427312,0.79995793,0.0000018320096,0.000013453619,0.0001648194,0.15026322],"study_design_scores_gemma":[0.000101206686,0.000016466476,0.000010703954,0.06403742,0.005359677,0.0000015148161,0.000009576744,0.2260243,0.000019737512,6.215804e-7,0.70373255,0.00068620034],"about_ca_topic_score_codex":0.00004091473,"about_ca_topic_score_gemma":0.000030758405,"teacher_disagreement_score":0.70356774,"about_ca_system_score_codex":0.00031669697,"about_ca_system_score_gemma":0.00006194356,"threshold_uncertainty_score":0.99974954},"labels":[],"label_agreement":null},{"id":"W4410495004","doi":"10.1016/j.rineng.2025.105337","title":"Hydrogen fuel cell integrated turbofan engines offer lower costs when climate impact accounted for aviation purposes","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","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":"Turbofan; Aviation; Aeronautics; Environmental science; Automotive engineering; Engineering; Aerospace engineering","score_opus":0.0055392404235449656,"score_gpt":0.2303090525890085,"score_spread":0.22476981216546352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410495004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89317775,0.0008076057,0.09579243,0.000344447,0.0006460188,0.0016998826,0.0002775135,0.001245933,0.0060083927],"genre_scores_gemma":[0.9933628,0.00011412741,0.006113083,0.00002659209,0.000014210377,0.000075197095,0.0000482146,0.000021126478,0.00022464411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891025,0.0000088153,0.00028313248,0.0003036637,0.00011167689,0.00038243836],"domain_scores_gemma":[0.9995117,0.00013713638,0.00005232286,0.0002513427,0.000013199611,0.000034293207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018120657,0.00020625192,0.00018489303,0.00016392842,0.000036486646,0.000030232015,0.00023820586,0.0001317612,0.00002160384],"category_scores_gemma":[0.0002902068,0.00017784654,0.00006524474,0.00042650994,0.000030961637,0.0002503472,0.00009705944,0.0001649443,0.00001992049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006450594,0.0002608446,0.013186599,0.00030433157,0.000061867024,0.000028026561,0.00049066765,0.7123049,0.2350842,0.00033659147,0.0018367969,0.03546014],"study_design_scores_gemma":[0.0055555115,0.00035254343,0.033137534,0.00065447827,0.00005596809,0.0000062484187,0.00029262155,0.7080628,0.220594,0.0027260487,0.02722881,0.0013334154],"about_ca_topic_score_codex":0.000074855496,"about_ca_topic_score_gemma":0.000043391112,"teacher_disagreement_score":0.10018503,"about_ca_system_score_codex":0.0004912104,"about_ca_system_score_gemma":0.000010097765,"threshold_uncertainty_score":0.72523713},"labels":[],"label_agreement":null},{"id":"W4410593842","doi":"10.1016/j.rineng.2025.105423","title":"Experimental laboratory waves with a plunger-type wavemaker in waves-against-flow conditions","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Carleton University","keywords":"Plunger; Type (biology); Flow (mathematics); Geology; Mechanics; Unsteady flow; Acoustics; Physics; Thermodynamics","score_opus":0.008440350096857204,"score_gpt":0.2367871501338978,"score_spread":0.2283468000370406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410593842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945393,0.0007724831,0.000082327075,0.00017931846,0.00013958325,0.00016255521,0.00006598213,0.0000487694,0.00400965],"genre_scores_gemma":[0.99855006,0.000035405683,0.0010988929,0.00006625238,0.000043044332,0.000004638892,0.00008034599,0.0000042049983,0.00011716185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989102,0.00003459708,0.0002391055,0.00025724928,0.0001839546,0.0003749093],"domain_scores_gemma":[0.99955726,0.0001567948,0.00001437669,0.00015586475,0.00002193394,0.00009377892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092209026,0.000133068,0.00017068996,0.0002250671,0.00004112108,0.000040578143,0.00013372631,0.000075618314,0.000115161536],"category_scores_gemma":[0.0000928624,0.00010485379,0.00002229637,0.00079188443,0.00005165267,0.00013763837,0.000016299218,0.0003025099,0.000033679025],"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":[0.0011103003,0.00022349725,0.3425185,0.00020888455,0.000061340266,0.00073514855,0.0008330948,0.63624674,0.009023371,0.0007901861,0.0005892254,0.0076597026],"study_design_scores_gemma":[0.0014428954,0.0001554669,0.8706041,0.00020363493,0.0000025779377,0.0000024695028,0.00018145463,0.12123788,0.0023872547,0.000034969562,0.0035253349,0.00022193615],"about_ca_topic_score_codex":0.00036447385,"about_ca_topic_score_gemma":0.0011795581,"teacher_disagreement_score":0.5280856,"about_ca_system_score_codex":0.000027397744,"about_ca_system_score_gemma":0.00006414957,"threshold_uncertainty_score":0.42758134},"labels":[],"label_agreement":null},{"id":"W4410629681","doi":"10.1016/j.rineng.2025.105425","title":"A hybrid machine learning and optimization framework for energy forecasting and management","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Botswana International University of Science and Technology","keywords":"Computer science; Energy (signal processing); Energy management; Artificial intelligence; Machine learning; Industrial engineering; Management science; Engineering; Mathematics","score_opus":0.006953919177652187,"score_gpt":0.2046102709511928,"score_spread":0.19765635177354063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410629681","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00572835,0.0022323893,0.9890205,0.000024331108,0.00025487726,0.000102935686,0.000010409846,0.00023372435,0.002392446],"genre_scores_gemma":[0.8142404,0.0015319694,0.18392752,0.000012462808,0.00005274246,0.000047443868,0.00003154444,0.00003637934,0.0001195231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929416,0.000005883844,0.00023165617,0.00018446487,0.0000479558,0.00023586348],"domain_scores_gemma":[0.99964374,0.00022108442,0.00001947613,0.00006969956,0.000009753874,0.000036233192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015608466,0.00014756205,0.00014524747,0.0002373965,0.000051504314,0.0000432231,0.000046430272,0.000055878932,7.5824795e-7],"category_scores_gemma":[0.0001343145,0.00016754116,0.000018530682,0.00017132767,0.000007890259,0.0000724927,0.000048270744,0.00014258413,4.8455664e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014754848,0.0000027353117,0.00008942886,0.00036250672,0.00002696026,0.000006169134,0.00007197024,0.9632588,0.000035160454,0.007861394,0.000010708729,0.028259434],"study_design_scores_gemma":[0.000543071,0.000013207021,0.000031073683,0.0006904116,0.000011010239,0.0000058538885,0.000017564855,0.99147826,0.00045239483,0.00030285824,0.0063034547,0.0001508647],"about_ca_topic_score_codex":0.000008121284,"about_ca_topic_score_gemma":0.000005272015,"teacher_disagreement_score":0.8085121,"about_ca_system_score_codex":0.000036496265,"about_ca_system_score_gemma":0.0000022056397,"threshold_uncertainty_score":0.68321306},"labels":[],"label_agreement":null},{"id":"W4410640783","doi":"10.1016/j.rineng.2025.105424","title":"Quality of regular waves experimentally generated by plunger-type wavemakers with mean flow","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Carleton University","keywords":"Plunger; Type (biology); Flow (mathematics); Quality (philosophy); Mechanics; Geology; Physics; Mathematics; Thermodynamics","score_opus":0.008561306910943017,"score_gpt":0.2175523708441372,"score_spread":0.2089910639331942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410640783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99465513,0.0011786513,0.00040445843,0.000057463152,0.00025856623,0.00011136459,0.000043809418,0.00004082664,0.0032497332],"genre_scores_gemma":[0.98936224,0.000047492194,0.01013508,0.0000223115,0.000024368257,1.2570576e-8,0.00011300418,0.0000048596007,0.0002906097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903643,0.000033153807,0.00032552652,0.00021774798,0.00016530933,0.0002218413],"domain_scores_gemma":[0.99961066,0.000074322175,0.00005284798,0.00018402401,0.00002861809,0.00004952648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002639564,0.00013102665,0.00021100946,0.00010631357,0.000031661388,0.000020623582,0.00009192968,0.00006296494,0.0000137667685],"category_scores_gemma":[0.000043293297,0.00010388984,0.000028097264,0.0004003973,0.000037376456,0.00006957649,0.000008945121,0.00010840318,0.000001789034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004904562,0.000031339183,0.0033006025,0.00017054596,0.00009559692,0.000027397398,0.0011585088,0.93772644,0.04089959,0.00004222363,0.0004591876,0.0155981295],"study_design_scores_gemma":[0.0015148706,0.00013718671,0.035499286,0.00036147502,0.000010454842,0.00000514063,0.0006200874,0.89472437,0.06571258,0.00001648762,0.001063705,0.0003343408],"about_ca_topic_score_codex":0.0004959434,"about_ca_topic_score_gemma":0.00023028957,"teacher_disagreement_score":0.043002035,"about_ca_system_score_codex":0.0000124453545,"about_ca_system_score_gemma":0.00002995398,"threshold_uncertainty_score":0.42365047},"labels":[],"label_agreement":null},{"id":"W4410717347","doi":"10.1016/j.rineng.2025.105458","title":"A 3D-printed circularly polarized cavity-based slotted waveguide antenna for kidney cancer detection application","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta; Salahaddin University-Erbil","keywords":"Antenna (radio); Waveguide; Optics; Cancer; Cancer detection; Materials science; Physics; Medicine; Engineering; Electrical engineering; Internal medicine","score_opus":0.005919083784164964,"score_gpt":0.22755866470804118,"score_spread":0.2216395809238762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410717347","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018855322,0.00026706385,0.97817683,0.00013298211,0.00070954865,0.0007765125,0.00008424727,0.0008680627,0.00012942714],"genre_scores_gemma":[0.99494374,0.000030586234,0.0039296383,0.00006813754,0.00013072864,0.00071429403,0.00008070656,0.00007242129,0.000029761979],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985553,0.000016931222,0.000499703,0.00035222305,0.00012955237,0.00044626519],"domain_scores_gemma":[0.99922216,0.00015608428,0.000046223646,0.00038895902,0.00008800313,0.000098562385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003096955,0.00026191946,0.00029137474,0.00044643757,0.000051969644,0.000043659136,0.00019752294,0.0002256362,0.0000014912391],"category_scores_gemma":[0.0003251725,0.000317373,0.000083749015,0.00086756446,0.000014072015,0.000117725765,0.000024780862,0.00034255686,0.0000024897877],"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":[0.00009622028,0.000014694972,0.00008155999,0.0003282689,0.00004766052,0.0000025215054,0.000051251773,0.41736072,0.5778914,0.000050353083,0.00002203157,0.0040533245],"study_design_scores_gemma":[0.0022061418,0.000012468805,0.00109627,0.0004596255,0.000026944886,0.0000011556815,0.0000069883213,0.9636829,0.029933639,0.000015608639,0.0022797743,0.0002784839],"about_ca_topic_score_codex":0.00022639813,"about_ca_topic_score_gemma":0.00020790927,"teacher_disagreement_score":0.9760884,"about_ca_system_score_codex":0.0005844446,"about_ca_system_score_gemma":0.0000652978,"threshold_uncertainty_score":0.9999278},"labels":[],"label_agreement":null},{"id":"W4410768690","doi":"10.1016/j.rineng.2025.105521","title":"Adaptive distributed honeypot detection network for enhanced cybersecurity against DoS and DDoS attacks","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Network Security and Intrusion Detection","field":"Computer Science","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Honeypot; Denial-of-service attack; Computer security; Application layer DDoS attack; Computer science; Trinoo; Network security; Computer network; The Internet; Operating system","score_opus":0.007061581029747282,"score_gpt":0.21984597754345014,"score_spread":0.21278439651370287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410768690","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041803803,0.00021482613,0.9561375,0.00009342077,0.0009648739,0.0003557368,0.000016550692,0.00019830067,0.00021501014],"genre_scores_gemma":[0.99009424,0.00012858406,0.009496894,0.000046385496,0.00013020096,0.00006927449,0.0000100339685,0.0000070893852,0.000017311933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887776,0.000028816225,0.00029470221,0.0003811098,0.00009614857,0.00032144957],"domain_scores_gemma":[0.9993283,0.00024091746,0.00007919712,0.0002445677,0.00005421854,0.00005279201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035177488,0.0001489644,0.00018539121,0.00013564253,0.0001196633,0.00007445679,0.00020015615,0.00012745237,2.9194302e-7],"category_scores_gemma":[0.00021671082,0.0001638026,0.00004573882,0.00076662714,0.000016733453,0.00026323073,0.00012679634,0.00023757333,9.892012e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038502028,0.000059114103,0.000019819807,0.00012453726,0.000055742155,0.0000067901547,0.0009113874,0.7422049,0.009787687,0.008433384,0.00041335754,0.23759826],"study_design_scores_gemma":[0.0010478871,0.00007740011,0.0007673358,0.00023458287,0.0000044081,0.0000013534315,0.000018018982,0.9756125,0.01867623,0.0008296679,0.0025509403,0.00017966083],"about_ca_topic_score_codex":0.000019179197,"about_ca_topic_score_gemma":0.00006346162,"teacher_disagreement_score":0.9482904,"about_ca_system_score_codex":0.00011874509,"about_ca_system_score_gemma":0.000020056874,"threshold_uncertainty_score":0.6679676},"labels":[],"label_agreement":null},{"id":"W4410799319","doi":"10.1016/j.rineng.2025.105532","title":"Effect of particle size distribution on the sidewall surface roughness of AlSi10Mg parts manufactured by laser powder bed fusion","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Additive Manufacturing Materials and Processes","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Fusion; Particle-size distribution; Surface roughness; Particle size; Surface finish; Surface (topology); Particle (ecology); Laser; Composite material; Optics; Geometry; Geology; Mathematics; Physics","score_opus":0.0037070113072006166,"score_gpt":0.20729188934732445,"score_spread":0.20358487804012385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410799319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997841,0.00017860526,0.0008157991,0.00008307289,0.00026797017,0.00022592723,0.00029023577,0.000089945046,0.00020745838],"genre_scores_gemma":[0.9997479,0.000060091174,0.000019968564,0.000007120422,0.00001847841,0.000016302907,0.000053435884,0.000018642453,0.000058099675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990677,0.000054003285,0.0003612206,0.00015605906,0.00013868063,0.00022229535],"domain_scores_gemma":[0.99847907,0.0011956624,0.000053098414,0.00022370045,0.00002297578,0.000025491106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041325047,0.00018852371,0.0002810844,0.000019347486,0.000023584931,0.000016153108,0.0001393553,0.00008507206,0.00002234412],"category_scores_gemma":[0.00043699823,0.0001372859,0.000045649387,0.00017547669,0.000022599837,0.000057032634,0.000038078593,0.0001279719,0.0000023757814],"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":[0.0003063843,0.00003378398,0.000103399725,0.00094200845,0.00005024352,0.0000032746857,0.00016655088,0.8244151,0.17143305,0.00010421444,0.0013951067,0.001046926],"study_design_scores_gemma":[0.00063297665,0.000065173095,0.0021193153,0.00034032227,0.00001422861,2.4568163e-7,0.000011858012,0.011218427,0.9844382,0.000019304945,0.0010222703,0.000117719406],"about_ca_topic_score_codex":0.000027038122,"about_ca_topic_score_gemma":0.000003539601,"teacher_disagreement_score":0.81319666,"about_ca_system_score_codex":0.000047704776,"about_ca_system_score_gemma":0.0000058898163,"threshold_uncertainty_score":0.5598356},"labels":[],"label_agreement":null},{"id":"W4410935436","doi":"10.1016/j.rineng.2025.105508","title":"Blockchain-enabled cash flow management system in offsite construction projects","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Hong Kong Polytechnic University; King Saud University","keywords":"Blockchain; Cash flow; Business; Engineering management; Process management; Systems engineering; Computer science; Engineering; Computer security; Finance","score_opus":0.004636061194805015,"score_gpt":0.19920188980656084,"score_spread":0.19456582861175584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410935436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11186358,0.00024156732,0.8773039,0.0006256554,0.0005748926,0.00090362865,0.0000048126785,0.00092792796,0.007554058],"genre_scores_gemma":[0.90246487,0.0000137274865,0.0972944,0.000012043059,0.0000103554485,0.00012777452,0.0000013385143,0.0000044442045,0.0000710342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894816,0.000016760883,0.00031962877,0.00036987194,0.00009208231,0.00025351084],"domain_scores_gemma":[0.99935204,0.000043477266,0.000037833353,0.0005244766,0.000021888107,0.000020286074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038426943,0.000114387105,0.00015485611,0.0006708274,0.000037645095,0.00003200162,0.00042394956,0.00011143927,1.8531877e-7],"category_scores_gemma":[0.000024705641,0.00012570723,0.000021868711,0.0014860409,0.00001626536,0.00004755277,0.0002032092,0.00021888892,0.0000035057637],"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":[0.000016509586,0.00007741708,0.0006223161,0.00057912676,0.0000323953,0.00012775899,0.0006772673,0.23264082,0.00022044778,0.6934544,0.000101960664,0.07144958],"study_design_scores_gemma":[0.0008343188,0.000007119555,0.0018479873,0.00033385592,0.0000026974233,0.000014335998,0.00014926189,0.9937867,0.00084088003,0.0003068425,0.0017502363,0.00012574856],"about_ca_topic_score_codex":0.000043152082,"about_ca_topic_score_gemma":0.000041456955,"teacher_disagreement_score":0.7906013,"about_ca_system_score_codex":0.0002390845,"about_ca_system_score_gemma":0.000022371943,"threshold_uncertainty_score":0.5126192},"labels":[],"label_agreement":null},{"id":"W4410979693","doi":"10.1016/j.rineng.2025.105626","title":"Advancements in pneumatic seed-metering devices: A review of numerical and experimental approaches","year":2025,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada)","funders":"Universidad de Guanajuato; Universidad de Santander","keywords":"Metering mode; Computer science; Engineering; Mechanical engineering","score_opus":0.02945920620063418,"score_gpt":0.2838830274291168,"score_spread":0.2544238212284826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410979693","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009390624,0.9979541,0.000745369,0.0000012738643,0.00020750519,0.00060843246,0.000036169684,0.00007079559,0.00028246877],"genre_scores_gemma":[0.0041007414,0.9942487,0.0013040458,0.0000038404146,0.000016905038,0.00020993354,0.00004912469,0.0000619236,0.000004793529],"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806255,0.00003919238,0.0011204631,0.00031886116,0.00015146512,0.00030744466],"domain_scores_gemma":[0.9993361,0.00019776319,0.00010821738,0.00029698803,0.000007959132,0.00005292176],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003871533,0.0004106971,0.0015225948,0.00042474456,0.000009103419,0.000013906922,0.00022682225,0.00016891985,0.000001132223],"category_scores_gemma":[0.0001401346,0.0004195938,0.0001257707,0.0006756331,0.0000073497063,0.00008364359,0.00012488176,0.00045139142,9.774718e-7],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020270827,0.000033869914,0.000003180497,0.53909135,0.00005893348,0.00001101771,0.00010202969,0.011980931,0.0000027835804,0.00006176884,0.0000014720853,0.44865063],"study_design_scores_gemma":[0.000456918,0.000025701898,0.0000076093197,0.48427528,0.00008078968,0.000013329897,0.000041196836,0.49570724,0.000006982431,0.000001762376,0.018861257,0.0005219209],"about_ca_topic_score_codex":0.000005672468,"about_ca_topic_score_gemma":0.0000019871475,"teacher_disagreement_score":0.48372632,"about_ca_system_score_codex":0.00024098082,"about_ca_system_score_gemma":0.000029863364,"threshold_uncertainty_score":0.9998256},"labels":[],"label_agreement":null},{"id":"W4411088927","doi":"10.1016/j.rineng.2025.105645","title":"Fresh, mechanical and durability properties of sustainable cement grouts incorporating dredged materials from UAE dams","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","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":"University of British Columbia, Okanagan Campus; Okanagan College","funders":"New York University Abu Dhabi; Abu Dhabi University","keywords":"Durability; Cement; Geotechnical engineering; Forensic engineering; Engineering; Waste management; Materials science; Composite material","score_opus":0.008209421161244661,"score_gpt":0.1995968089453844,"score_spread":0.19138738778413975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411088927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900862,0.0004913004,0.008000113,0.000039420942,0.00047693215,0.00031254604,0.000027680662,0.00020137192,0.00036441896],"genre_scores_gemma":[0.9982849,0.000054682885,0.0014971205,0.0000065325016,0.000042051088,0.000039662453,0.000022095051,0.000025308318,0.000027662583],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99850947,0.000043127944,0.00068784313,0.00027844217,0.0001201073,0.0003609906],"domain_scores_gemma":[0.9994406,0.00009718488,0.00006180093,0.00029729508,0.00005262081,0.000050461655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067398313,0.00021275287,0.00040630274,0.00016635278,0.000039118873,0.000034565957,0.00016560714,0.00017223887,0.0000041721696],"category_scores_gemma":[0.0005684521,0.00021341113,0.000030052759,0.0002325932,0.00003103296,0.000117080555,0.00016601822,0.0002029412,8.318688e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014576626,0.00006706929,0.00044861587,0.0020325973,0.00011359777,0.00003370924,0.0020257276,0.07965704,0.87605864,0.038617373,0.00003940807,0.00076046266],"study_design_scores_gemma":[0.0022193717,0.00007010964,0.0045736055,0.0009137973,0.00003933767,0.0000027859637,0.0027359724,0.28128654,0.70303684,0.004523408,0.00010320152,0.0004950498],"about_ca_topic_score_codex":0.00041514542,"about_ca_topic_score_gemma":0.0000693342,"teacher_disagreement_score":0.20162949,"about_ca_system_score_codex":0.00015126333,"about_ca_system_score_gemma":0.000023195462,"threshold_uncertainty_score":0.8702653},"labels":[],"label_agreement":null},{"id":"W4411165753","doi":"10.1016/j.rineng.2025.105692","title":"Optimization of viscosity of propylene glycol and water (50:50)/Graphene nanofluid: A response surface methodology and machine learning approach","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Nanofluid Flow and Heat Transfer","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":"Lockheed Martin (Canada)","funders":"","keywords":"Nanofluid; Viscosity; Materials science; Graphene; Polyvinyl alcohol; Response surface methodology; Surface (topology); Chemical engineering; Thermodynamics; Nanotechnology; Nanoparticle; Composite material; Chromatography; Chemistry; Mathematics; Physics; Engineering","score_opus":0.015778324382414617,"score_gpt":0.2265462930490788,"score_spread":0.2107679686666642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411165753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64601415,0.0022555294,0.35123026,0.000022267906,0.00006732085,0.00021458161,0.000014865451,0.00007424022,0.000106785184],"genre_scores_gemma":[0.93650115,0.0008638708,0.06253701,0.0000024662552,0.0000071818495,0.000010408985,0.000014335152,0.000025425155,0.00003815502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887675,0.000119149576,0.0004503164,0.00022202136,0.00009245729,0.00023927797],"domain_scores_gemma":[0.9995025,0.00025508399,0.000015078053,0.00015220178,0.00003397086,0.00004119877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000994764,0.00018159433,0.00039708577,0.00034451333,0.000025204752,0.000009331635,0.000078235265,0.00015273318,0.0000025585584],"category_scores_gemma":[0.0001123453,0.00016237445,0.00003421738,0.00027601226,0.00004020321,0.00008467582,0.000044587305,0.00022301535,1.1097842e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045433777,0.000015363967,0.00039856727,0.00049331324,0.000033567674,0.000001109196,0.0004854835,0.58579296,0.41205516,0.000065387096,0.0000018996711,0.00020281177],"study_design_scores_gemma":[0.0014239083,0.00008029307,0.002024344,0.00018502389,0.000027827578,0.0000057854018,0.000034863115,0.60768074,0.38819042,0.00000812698,0.00017766298,0.00016100192],"about_ca_topic_score_codex":0.000059141727,"about_ca_topic_score_gemma":0.0000038161265,"teacher_disagreement_score":0.290487,"about_ca_system_score_codex":0.0000292193,"about_ca_system_score_gemma":0.000011664038,"threshold_uncertainty_score":0.66214377},"labels":[],"label_agreement":null},{"id":"W4411165805","doi":"10.1016/j.rineng.2025.105698","title":"An overview of the temperature dependence of the zeta potential of aqueous suspensions","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Zeta potential; Aqueous solution; Materials science; Chemistry; Thermodynamics; Chemical engineering; Chemical physics; Nanotechnology; Physics; Physical chemistry; Engineering; Nanoparticle","score_opus":0.007355533246379065,"score_gpt":0.25614815551458153,"score_spread":0.24879262226820248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411165805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741507,0.0006632148,0.000043866192,0.00013281911,0.00017500043,0.000060701306,0.000060811697,0.000008151048,0.001440375],"genre_scores_gemma":[0.9993792,0.00012287448,0.00011478642,0.000007924309,0.000010527433,0.0000027796414,0.0000024438611,0.0000054115794,0.00035404012],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994274,0.00001085124,0.00026883974,0.000087732435,0.00011630818,0.000088880515],"domain_scores_gemma":[0.9993839,0.00007047994,0.00008067663,0.00039451825,0.000059780476,0.000010594469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000673021,0.0000637977,0.000115935436,0.000031556614,0.000023930099,0.0000053276835,0.00027620778,0.00005397538,0.000010394201],"category_scores_gemma":[0.00017633806,0.00004253806,0.00007079335,0.0002795165,0.00001924432,0.00002851142,0.000060728104,0.00021685763,6.8968056e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014973324,0.000041663196,0.00014874038,0.0001302136,0.000018478551,6.6174334e-7,0.00009223331,0.045531247,0.9525785,0.0012328839,0.000050687173,0.00015972655],"study_design_scores_gemma":[0.00026292438,0.000009217597,0.0030457422,0.00083205197,0.000021895312,0.0000045951297,0.000095071795,0.018156001,0.9772188,0.00008517698,0.00021800792,0.000050490697],"about_ca_topic_score_codex":0.00008549683,"about_ca_topic_score_gemma":0.00011145635,"teacher_disagreement_score":0.027375245,"about_ca_system_score_codex":0.000026310576,"about_ca_system_score_gemma":0.00006392074,"threshold_uncertainty_score":0.17346518},"labels":[],"label_agreement":null},{"id":"W4411175622","doi":"10.1016/j.rineng.2025.105697","title":"Bone-inspired lattice structures for biomedical applications: Design, pore network analysis, and mechanical performance","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; King Fahd University of Petroleum and Minerals","keywords":"Lattice (music); Computer science; Materials science; Physics; Acoustics","score_opus":0.008563715394981642,"score_gpt":0.23346346298429002,"score_spread":0.2248997475893084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411175622","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024110317,0.0015392118,0.97249335,0.000058543785,0.00042417223,0.0006781385,0.000039501487,0.00058582256,0.00007094375],"genre_scores_gemma":[0.8973846,0.00017170551,0.10177191,0.000010833972,0.0001764589,0.00032659012,0.00007356735,0.000041840685,0.0000425036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863863,0.0000133686035,0.00052638154,0.00029315823,0.00011799076,0.00041048613],"domain_scores_gemma":[0.99931324,0.00024847302,0.00003090711,0.0003019311,0.000023587232,0.00008187283],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049709546,0.00023527369,0.00041129228,0.00042176354,0.00004155115,0.000047265323,0.00016552651,0.00018427316,0.0000028560187],"category_scores_gemma":[0.000117455886,0.00025355376,0.000052878226,0.001102533,0.000019734023,0.00008717675,0.0000470938,0.00017764031,0.000001219452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037533708,0.000008090785,0.000024573405,0.00047090912,0.00019181552,0.000003499138,0.000054122484,0.98795193,0.0045141047,0.0015230315,0.00023547157,0.004984911],"study_design_scores_gemma":[0.0008403748,0.00002550018,0.0022715898,0.00013612551,0.00014919366,0.000004969833,0.0000063378634,0.9815772,0.004974283,0.0002851597,0.009428888,0.0003003896],"about_ca_topic_score_codex":0.0000043268537,"about_ca_topic_score_gemma":0.000003300155,"teacher_disagreement_score":0.87327427,"about_ca_system_score_codex":0.00008576818,"about_ca_system_score_gemma":0.000014941632,"threshold_uncertainty_score":0.99999166},"labels":[],"label_agreement":null},{"id":"W4411644364","doi":"10.1016/j.rineng.2025.105844","title":"Generative AI-driven edge-cloud system for intelligent road infrastructure inspection","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Enhanced Data Rates for GSM Evolution; Generative grammar; Computer science; Artificial intelligence; Computer vision; Operating system","score_opus":0.004447799784558964,"score_gpt":0.22016142952695164,"score_spread":0.21571362974239267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411644364","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09878924,0.0006323845,0.87799287,0.00008507501,0.015274121,0.00093233015,0.00007459987,0.0016071881,0.004612191],"genre_scores_gemma":[0.9926631,0.000049186376,0.0061394605,0.000018423372,0.0008840708,0.00011200322,0.00002356709,0.000044231234,0.0000660011],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875015,0.000009296712,0.00045489622,0.00027045002,0.00010404027,0.000411165],"domain_scores_gemma":[0.9995485,0.000051200182,0.000032359294,0.00024383639,0.00007379949,0.000050291153],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013282889,0.00026883543,0.00028224062,0.0003638293,0.000064076194,0.00005295414,0.00017232542,0.00017980328,9.696665e-7],"category_scores_gemma":[0.00010138671,0.00027264634,0.0000788454,0.0004224394,0.0000139670865,0.00012837844,0.000038967373,0.00036911745,0.0000029673347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034011475,0.0000036147233,0.00012620265,0.00043604375,0.00005475689,0.000005579329,0.000586781,0.98087674,0.007426623,0.001940321,0.0015421878,0.006967156],"study_design_scores_gemma":[0.0010712624,0.000031723892,0.0024083871,0.0008664915,0.00002156939,0.000008540079,0.00051608676,0.90670747,0.07339267,0.00009852308,0.014489962,0.00038734454],"about_ca_topic_score_codex":0.000014445169,"about_ca_topic_score_gemma":0.000014330708,"teacher_disagreement_score":0.8938738,"about_ca_system_score_codex":0.0007946913,"about_ca_system_score_gemma":0.000029288218,"threshold_uncertainty_score":0.9999726},"labels":[],"label_agreement":null},{"id":"W4411659707","doi":"10.1016/j.rineng.2025.105974","title":"Experimental study on effects of nozzles and combustors on the rotating detonation rocket engine in pulse operation","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Detonation; Nozzle; Rocket (weapon); Aerospace engineering; Rocket engine; Pulse (music); Aeronautics; Mechanics; Automotive engineering; Materials science; Acoustics; Engineering; Physics; Optics; Explosive material; Chemistry","score_opus":0.0071843893254280936,"score_gpt":0.24018228714333106,"score_spread":0.23299789781790298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411659707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99735594,0.0002109328,0.0012315664,0.000049215178,0.00019136549,0.00039245846,0.0000017783859,0.00007725908,0.0004894866],"genre_scores_gemma":[0.9997509,0.000014848667,0.000104325976,0.000015919408,0.000012876316,0.00007072757,0.0000038558896,0.000012223399,0.0000143037405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993308,0.00002475029,0.00027962364,0.00013413017,0.00012703465,0.000103632054],"domain_scores_gemma":[0.99935,0.0004896209,0.000020694151,0.00010677474,0.000017240747,0.000015659632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002189651,0.000120770215,0.00012954848,0.00036473534,0.000024642854,0.000021374595,0.00006775184,0.000038640068,0.0000018894834],"category_scores_gemma":[0.00036646283,0.000106987885,0.000012600184,0.00036094172,0.0000065192744,0.00007990441,0.000018832849,0.00015678995,8.8232036e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035839286,0.00017500632,0.00064808974,0.0001312611,0.000012290852,0.0000033612023,0.0025185968,0.979681,0.006563617,0.00041667413,0.000015798563,0.009798448],"study_design_scores_gemma":[0.0022461216,0.00017964737,0.046559595,0.0005599848,0.000004841813,5.3021455e-7,0.0010209178,0.5893485,0.35986012,0.00001279206,0.0000431552,0.000163768],"about_ca_topic_score_codex":0.000008921422,"about_ca_topic_score_gemma":0.000016999686,"teacher_disagreement_score":0.3903325,"about_ca_system_score_codex":0.00008369855,"about_ca_system_score_gemma":0.0000073455026,"threshold_uncertainty_score":0.43628395},"labels":[],"label_agreement":null},{"id":"W4411690384","doi":"10.1016/j.rineng.2025.105833","title":"Planning for offshore wind: An integrated smart approach combining NREL classification and TOPSIS","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","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":"TOPSIS; Marine engineering; Offshore wind power; Submarine pipeline; Computer science; Engineering; Environmental science; Operations research; Artificial intelligence; Systems engineering; Wind power; Electrical engineering","score_opus":0.01621036603855071,"score_gpt":0.24485121225650547,"score_spread":0.22864084621795475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411690384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87123734,0.0000720388,0.111413226,0.000110966794,0.00011060816,0.00036651795,0.000022003518,0.00010958206,0.016557703],"genre_scores_gemma":[0.9855231,0.0000057352736,0.014109919,0.000014595003,0.0000066623743,0.000018602974,0.000073599746,0.0000077407885,0.0002400167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992732,0.000008335168,0.00020862694,0.00025773086,0.0000720649,0.0001800454],"domain_scores_gemma":[0.99973005,0.00005547099,0.000021567099,0.00013801592,0.000004381809,0.00005053631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003171483,0.000094716364,0.00010660719,0.00007810633,0.00006337486,0.000021904883,0.00010351427,0.000067407054,0.000010012802],"category_scores_gemma":[0.00006396686,0.000089899244,0.00001611152,0.00026979265,0.00002543367,0.00010143051,0.000024344905,0.00011899655,8.391445e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016310548,0.00023719046,0.10104597,0.00017002711,0.000013768399,0.0000045562997,0.0028002313,0.84151214,0.010085687,0.0009991231,0.0004731967,0.04249502],"study_design_scores_gemma":[0.00050848507,0.000024798834,0.17215782,0.00010013328,0.000005679372,0.0000010270577,0.0003942414,0.8213636,0.00012813769,0.000016035281,0.0051873005,0.00011273519],"about_ca_topic_score_codex":0.00008126053,"about_ca_topic_score_gemma":0.000006811748,"teacher_disagreement_score":0.114285775,"about_ca_system_score_codex":0.000062204,"about_ca_system_score_gemma":0.0000074853037,"threshold_uncertainty_score":0.3665985},"labels":[],"label_agreement":null},{"id":"W4411861781","doi":"10.1016/j.rineng.2025.105965","title":"Reliability analysis based on cascaded-Foster thermal networks for systems-in-package (SiP)","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université de Moncton; Université du Québec en Outaouais","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; System in package; Computer science; Engineering; Telecommunications; Physics; Thermodynamics","score_opus":0.00637754601178828,"score_gpt":0.21467906913638565,"score_spread":0.20830152312459738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411861781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37229326,0.0013480132,0.61670816,0.00018990808,0.0013012948,0.001135707,0.00008574109,0.0017108686,0.0052270223],"genre_scores_gemma":[0.9986273,0.00002253281,0.0010719739,0.000015459109,0.000035385205,0.00013006802,0.000019710602,0.000024947562,0.000052609335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987796,0.000014972188,0.00043742926,0.00028285536,0.000094441006,0.00039069273],"domain_scores_gemma":[0.999021,0.00040825093,0.000022789662,0.00050092384,0.000019683413,0.000027339935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042164646,0.00020809981,0.0003625579,0.0007104527,0.000018334284,0.000030392812,0.00021191491,0.00023419705,0.0000013429074],"category_scores_gemma":[0.00025735877,0.00020136786,0.000112890724,0.0012118141,0.000013908606,0.00006330205,0.000029156028,0.0003326394,0.0000015127123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003907635,0.000016005723,0.0007821343,0.00019143759,0.000055815053,0.000007635486,0.000030320383,0.9972752,0.00020493528,0.00016901524,0.00011991906,0.001108537],"study_design_scores_gemma":[0.0007707845,0.000017847486,0.015719386,0.00021874637,0.00003723819,1.4582467e-7,0.00003703423,0.9817411,0.00064157386,0.000008475007,0.0006248266,0.0001828972],"about_ca_topic_score_codex":0.00002939153,"about_ca_topic_score_gemma":0.000023769539,"teacher_disagreement_score":0.6263341,"about_ca_system_score_codex":0.00024652277,"about_ca_system_score_gemma":0.000010460644,"threshold_uncertainty_score":0.8211543},"labels":[],"label_agreement":null},{"id":"W4411922601","doi":"10.1016/j.rineng.2025.106008","title":"Exploring the cycle of H2 gas using numerical modelling in the context of a deep geological repository","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nuclear Waste Management Organization; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Nuclear Waste Management Organization; York University; Ontario Research Foundation","keywords":"Context (archaeology); Data science; Computer science; Petroleum engineering; Environmental science; Geology; Paleontology","score_opus":0.028510467388970333,"score_gpt":0.2198435288509836,"score_spread":0.19133306146201326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411922601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976747,0.00019835762,0.020767106,0.000058671634,0.000099459576,0.0001158292,5.379148e-7,0.000007042365,0.002006024],"genre_scores_gemma":[0.9983539,0.000052307045,0.0015494195,0.000012258463,0.0000102834065,0.000009291316,3.775239e-7,0.000004323709,0.000007862458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991141,0.00006484512,0.00037880184,0.00014069356,0.00013575185,0.0001658372],"domain_scores_gemma":[0.9994606,0.00027062112,0.00005813338,0.00019307905,0.0000033931747,0.000014209412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000545351,0.000077972705,0.00014492452,0.00004679552,0.000028435601,0.0000056218573,0.00022171509,0.00003855673,0.000003798507],"category_scores_gemma":[0.00006281669,0.000046461795,0.000036629623,0.00042994277,0.000055301196,0.00006311413,0.000089269204,0.00023075675,7.720606e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032601085,0.00002711021,0.0008190304,0.000013557352,0.000005261538,0.0000061473966,0.00244569,0.991791,0.0036973832,0.00018976457,5.1434796e-7,0.00097193284],"study_design_scores_gemma":[0.0002513895,0.000015137648,0.0024993694,0.000090942376,0.000005865298,0.0000033847011,0.000706516,0.99318385,0.0030327672,0.00010383278,0.00005315075,0.000053790318],"about_ca_topic_score_codex":0.0005357528,"about_ca_topic_score_gemma":0.0000068542663,"teacher_disagreement_score":0.021606904,"about_ca_system_score_codex":0.00006014044,"about_ca_system_score_gemma":0.0000038844714,"threshold_uncertainty_score":0.1894657},"labels":[],"label_agreement":null},{"id":"W4411964349","doi":"10.1016/j.rineng.2025.106075","title":"Multi-function composite data generation and PIMamba model for fault diagnosis in sucker-rod pumping wells","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Sichuan Province Science and Technology Support Program; National Natural Science Foundation of China; Ontario Ministry of Natural Resources and Forestry","keywords":"Sucker rod; Composite number; Sucker; Fault (geology); Function (biology); Geology; Materials science; Petroleum engineering; Composite material; Seismology; Anatomy; Medicine; Biology; Cell biology","score_opus":0.035168041997183964,"score_gpt":0.26930200602196286,"score_spread":0.2341339640247789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411964349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15919842,0.0009169244,0.8379661,0.00026516116,0.00054140756,0.00046073302,0.00010384876,0.00048179703,0.00006559115],"genre_scores_gemma":[0.9432567,0.0007164748,0.055529736,0.00002198211,0.00008609843,0.00014089467,0.00016801084,0.000025588874,0.000054511667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907863,0.000008078037,0.00033386963,0.00032801,0.00005392653,0.00019746664],"domain_scores_gemma":[0.9995622,0.000057017438,0.000018772113,0.0003140117,0.00002288285,0.000025100484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003254189,0.0001462871,0.00016358552,0.0003296762,0.000028912502,0.000041715735,0.000121390636,0.00009614956,3.173273e-7],"category_scores_gemma":[0.00009523862,0.00017048682,0.000016705017,0.00025156184,0.000007853384,0.00031299307,0.00006220851,0.00016326473,5.2697527e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000138639,0.000020072968,0.0002570564,0.00016805016,0.000014354731,5.5640544e-7,0.00014035022,0.9781992,0.011133029,0.00003141754,0.00046810773,0.009553964],"study_design_scores_gemma":[0.00071008946,0.000008808282,0.00089008396,0.00016809505,0.000009677804,6.8939966e-7,0.000009743238,0.97372127,0.022955455,0.00003204113,0.0013404151,0.0001536158],"about_ca_topic_score_codex":0.000047660087,"about_ca_topic_score_gemma":0.00008352059,"teacher_disagreement_score":0.7840583,"about_ca_system_score_codex":0.00009296406,"about_ca_system_score_gemma":0.000007762596,"threshold_uncertainty_score":0.69522506},"labels":[],"label_agreement":null},{"id":"W4411991362","doi":"10.1016/j.rineng.2025.105812","title":"Performance of X and inverted V bracing systems in controlling progressive collapse of reinforced concrete buildings","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Structural Response to Dynamic Loads","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 Guelph; McMaster University","funders":"Bursa Uludağ Üniversitesi","keywords":"Bracing; Progressive collapse; Structural engineering; Reinforced concrete; Engineering; Geology; Brace","score_opus":0.0039256219403369175,"score_gpt":0.20585795294348025,"score_spread":0.20193233100314334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411991362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99725133,0.001301936,0.0004302824,0.000005380793,0.00017993774,0.00034051356,0.000010953057,0.00007469041,0.00040495684],"genre_scores_gemma":[0.99911356,0.000120803175,0.00068374927,0.000001905518,0.000009394685,0.00002118591,0.0000029930293,0.000018074907,0.000028331056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987674,0.000016116308,0.0006906116,0.00015245171,0.00012688102,0.0002465839],"domain_scores_gemma":[0.99932426,0.0003433635,0.00008349326,0.00016766958,0.000048614562,0.000032579836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031862498,0.00016603367,0.00043353427,0.00053020014,0.000009562753,0.00001230792,0.00012282065,0.00011139316,5.2706224e-7],"category_scores_gemma":[0.00048040657,0.00017341353,0.000025327074,0.0006369631,0.00003478921,0.00013210355,0.000039187507,0.00019486448,1.4311848e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022640234,3.648391e-7,0.00085272884,0.0010843985,0.00002849034,0.0000068000527,0.00043015004,0.86552376,0.1308981,0.00026738507,0.0000017631262,0.00067963445],"study_design_scores_gemma":[0.0021515442,0.000030120724,0.0029297387,0.0022314226,0.000007713008,0.000005706113,0.00009298525,0.9701774,0.022225754,0.0000011910686,0.000013531522,0.00013285565],"about_ca_topic_score_codex":0.000054499124,"about_ca_topic_score_gemma":0.0000025198892,"teacher_disagreement_score":0.10867235,"about_ca_system_score_codex":0.0001420422,"about_ca_system_score_gemma":0.000030382773,"threshold_uncertainty_score":0.7071598},"labels":[],"label_agreement":null},{"id":"W4412084952","doi":"10.1016/j.rineng.2025.106160","title":"Toxic trajectories: Modeling heavy metal-laden phosphate dust dispersion and multi-receptor health risks near Kpémé’s industrial zone","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Heavy metals in environment","field":"Environmental Science","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":"Dispersion (optics); Environmental chemistry; Environmental science; Heavy metals; Metal; Phosphate; Industrial zone; Environmental engineering; Chemistry; Metallurgy; Materials science; Physics; Optics; Water resource management; Biochemistry","score_opus":0.03650346159594236,"score_gpt":0.2713934153304285,"score_spread":0.23488995373448612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412084952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9609553,0.0008445186,0.035967004,0.0005345724,0.0007891628,0.0006048298,0.00003620365,0.00010920323,0.0001591664],"genre_scores_gemma":[0.9849948,0.0006223909,0.013931514,0.000066321365,0.000067371795,0.000036967125,0.000016056521,0.0000350255,0.00022953792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976391,0.00008700355,0.00068049564,0.00062890555,0.00035415406,0.0006103115],"domain_scores_gemma":[0.9992454,0.0001015508,0.00008199377,0.00035748843,0.000003053015,0.00021053046],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010631882,0.0003053936,0.0004031955,0.00010362787,0.0001555253,0.00005299685,0.00024449904,0.00019793975,0.0000807822],"category_scores_gemma":[0.0003056374,0.0003085767,0.000062069514,0.00048403486,0.00009934674,0.0002577023,0.0003013977,0.000529498,0.000048104397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106147454,0.00012256851,0.0026606363,0.000042300973,0.00002641822,0.000005447891,0.0011616317,0.96894056,0.0038439794,0.00001542188,0.00012102006,0.022953875],"study_design_scores_gemma":[0.0027103743,0.00008973106,0.006199067,0.00027248778,0.00001698077,0.0000024601225,0.00030852723,0.9793586,0.0048581418,0.000003849393,0.005791394,0.00038838206],"about_ca_topic_score_codex":0.0021016689,"about_ca_topic_score_gemma":0.00008894013,"teacher_disagreement_score":0.024039475,"about_ca_system_score_codex":0.0008945235,"about_ca_system_score_gemma":0.000034813595,"threshold_uncertainty_score":0.99993664},"labels":[],"label_agreement":null},{"id":"W4412507811","doi":"10.1016/j.rineng.2025.106403","title":"Enhancing drought monitoring in Southern Alberta: A comparative evaluation of drought indices for regional applicability","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Alberta; University of Calgary","funders":"","keywords":"Environmental science; Climatology; Physical geography; Geography; Geology","score_opus":0.021365607896527607,"score_gpt":0.2950426753753819,"score_spread":0.27367706747885434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412507811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931451,0.000102439335,0.0041295397,0.00008180487,0.000058771595,0.00033451032,0.000005099538,0.000010431561,0.0021322863],"genre_scores_gemma":[0.99810827,0.0000036363099,0.0015914126,0.0000056803246,0.000023976443,0.00013671411,0.000008396593,0.000004585394,0.00011732629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988138,0.000058711154,0.0004196626,0.00029639562,0.00021294199,0.00019849272],"domain_scores_gemma":[0.9992524,0.00045390814,0.00008200245,0.00017556442,0.000014540125,0.000021622187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013693342,0.00010965154,0.00023717477,0.00012772117,0.000031408108,0.0000055326873,0.000142204,0.00009571556,0.00001622796],"category_scores_gemma":[0.00024177216,0.00011173066,0.000052463223,0.0005996404,0.00004690474,0.00011132589,0.00005346063,0.00013261876,0.000006839799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013731583,0.00008561225,0.054364488,0.000045966513,0.000030467041,4.5910514e-7,0.008184115,0.928258,0.0077038426,0.00006956104,0.000008720335,0.0011114281],"study_design_scores_gemma":[0.002799676,0.000036205438,0.088846594,0.00028317393,0.00008050866,6.6461746e-7,0.0017660381,0.8733533,0.03090247,0.0012251505,0.00042533872,0.00028086494],"about_ca_topic_score_codex":0.0015207308,"about_ca_topic_score_gemma":0.004642914,"teacher_disagreement_score":0.05490471,"about_ca_system_score_codex":0.00026904923,"about_ca_system_score_gemma":0.000018721736,"threshold_uncertainty_score":0.4556244},"labels":[],"label_agreement":null},{"id":"W4412564300","doi":"10.1016/j.rineng.2025.106392","title":"Durability performance of low-carbon concrete incorporating optimized ratio of multiple waste materials (glass powder, biomass fly ash, and shredded rubber)","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Natural Resources and Forestry","keywords":"Fly ash; Durability; Natural rubber; Materials science; Biomass (ecology); Waste management; Carbon fibers; Composite material; Pulp and paper industry; Engineering; Composite number","score_opus":0.008144703457235655,"score_gpt":0.21790247096221171,"score_spread":0.20975776750497604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412564300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981864,0.00017232347,0.0003837306,0.000014174717,0.00032108347,0.00040546415,0.00007104501,0.000085993524,0.0003597938],"genre_scores_gemma":[0.998466,0.00012550205,0.0012624173,0.0000014978681,0.000033135988,0.000038290833,0.000030033923,0.00002622847,0.0000168558],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982659,0.000052041938,0.00093429466,0.00024304197,0.00019887568,0.00030580466],"domain_scores_gemma":[0.9992041,0.00025248196,0.000100246994,0.00032026405,0.00007454063,0.00004837677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008060778,0.00022103499,0.0005309279,0.00028787323,0.000021773561,0.00003364543,0.00017332051,0.00012357507,0.000007124445],"category_scores_gemma":[0.00031155036,0.00023090847,0.00003630975,0.00037372808,0.000056804467,0.00014499458,0.00012658068,0.00012568723,4.5786499e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030121158,0.0000043051305,0.0006981912,0.0023775513,0.000047210142,0.0000023321932,0.00017035368,0.06867484,0.9274952,0.000028183305,0.0000035616233,0.00019706192],"study_design_scores_gemma":[0.0016054002,0.000033001612,0.0012169186,0.00044642072,0.0000066095363,5.369231e-7,0.000045701192,0.3669652,0.62955374,0.0000024823798,0.0000043782843,0.00011963439],"about_ca_topic_score_codex":0.00006998022,"about_ca_topic_score_gemma":0.0000059105696,"teacher_disagreement_score":0.29829037,"about_ca_system_score_codex":0.00007444584,"about_ca_system_score_gemma":0.000036567995,"threshold_uncertainty_score":0.9416174},"labels":[],"label_agreement":null},{"id":"W4412702201","doi":"10.1016/j.rineng.2025.106345","title":"Advancing Sub-Seasonal to Seasonal Streamflow Forecasting in Canada: A Review of Conventional and Emerging Approaches for Operational Applications","year":2025,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Manitoba; National Research Council Canada; University of Calgary; Government of Alberta; University of Saskatchewan","funders":"National Research Council; National Research Council Canada; Government of Manitoba","keywords":"Streamflow; Seasonality; Environmental science; Climatology; Meteorology; Seasonal adjustment; Geography; Computer science; Geology; Mathematics; Cartography","score_opus":0.021784670771284605,"score_gpt":0.24989342678386828,"score_spread":0.22810875601258368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412702201","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000059548147,0.9907299,0.006563096,0.0002421171,0.00006178048,0.0017558428,0.0002457251,0.000008504078,0.00033344436],"genre_scores_gemma":[0.0009516009,0.9925049,0.004784389,0.00005550197,0.000031797314,0.0013788505,0.00023728742,0.00001385238,0.000041852007],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986444,0.000027141332,0.00055371464,0.0003586287,0.00015946734,0.00025661002],"domain_scores_gemma":[0.9993989,0.00034478251,0.00009751048,0.00010478932,0.000007727089,0.000046292167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052647956,0.00019738957,0.00059349637,0.00011067825,0.000046365443,0.0000046957844,0.00014244381,0.000047159116,0.000008431339],"category_scores_gemma":[0.00027017426,0.00019439659,0.000065498105,0.00036769622,0.000019739646,0.000059178026,0.00019767685,0.00013975674,6.507513e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015505668,0.00004193618,0.0012209867,0.12477177,0.00009933596,0.0000063825837,0.00004944764,0.16583227,6.521196e-7,0.0004982279,0.00090935733,0.7065541],"study_design_scores_gemma":[0.00080519397,0.000028775168,0.0011080683,0.12626192,0.00023422435,0.00000972786,0.000040520572,0.088099346,0.0000028762888,0.000043599102,0.7826768,0.0006889128],"about_ca_topic_score_codex":0.004027373,"about_ca_topic_score_gemma":0.042300545,"teacher_disagreement_score":0.7817675,"about_ca_system_score_codex":0.00050634024,"about_ca_system_score_gemma":0.00016919989,"threshold_uncertainty_score":0.97517496},"labels":[],"label_agreement":null},{"id":"W4412736122","doi":"10.1016/j.rineng.2025.106428","title":"XGBoost–random forest stacking with dual-state Kalman filtering for real-time battery SOC estimation","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Botswana International University of Science and Technology","keywords":"Kalman filter; Dual (grammatical number); Stacking; Computer science; Random forest; Estimation; Extended Kalman filter; Moving horizon estimation; Battery (electricity); State (computer science); Artificial intelligence; Algorithm; Engineering; Chemistry; Physics","score_opus":0.008479900682484843,"score_gpt":0.2510428468649204,"score_spread":0.24256294618243557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412736122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.258168,0.00009853951,0.7375458,0.00013631953,0.00020147073,0.00081507023,0.00006876649,0.0015893101,0.0013767238],"genre_scores_gemma":[0.9498847,0.00014321768,0.049147464,0.000008715103,0.00003847373,0.00031233687,0.00007099374,0.000103040606,0.00029103065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982701,0.00001072948,0.0004804132,0.00035950658,0.00019213752,0.0006871485],"domain_scores_gemma":[0.99887204,0.00053684955,0.000041550727,0.0004493102,0.000049748658,0.000050511273],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030801853,0.0003031458,0.00034630715,0.0006332841,0.00006278793,0.00007451652,0.00025366707,0.00012110547,0.0000033894235],"category_scores_gemma":[0.00032907978,0.00030959415,0.000049971553,0.0005853011,0.000035746154,0.00033995823,0.00010642367,0.0003488302,0.000008104147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015384614,0.000009741525,0.00012458654,0.00048022592,0.00004594998,0.00002852188,0.00011484049,0.96689016,0.020495508,0.000060026825,0.00019654637,0.011400022],"study_design_scores_gemma":[0.0024542662,0.00005840518,0.0013148481,0.00078394404,0.000008740825,0.0000067554843,0.0000361653,0.96961296,0.024420038,0.00021870893,0.00074035674,0.00034482614],"about_ca_topic_score_codex":0.00001211861,"about_ca_topic_score_gemma":0.000029621111,"teacher_disagreement_score":0.69171673,"about_ca_system_score_codex":0.000363175,"about_ca_system_score_gemma":0.000024418292,"threshold_uncertainty_score":0.9999356},"labels":[],"label_agreement":null},{"id":"W4412867715","doi":"10.1016/j.rineng.2025.106520","title":"Stable matching-enhanced MOEA/D for solving multi-objective optimal power flow problems","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power flow; Matching (statistics); Mathematical optimization; Flow (mathematics); Computer science; Power (physics); Mathematics; Electric power system; Statistics; Physics","score_opus":0.006527105480174034,"score_gpt":0.2254036406178504,"score_spread":0.21887653513767635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412867715","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07463962,0.00038247515,0.92068064,0.00002491341,0.0010739818,0.00074705353,0.00023125885,0.0007156796,0.0015043562],"genre_scores_gemma":[0.939241,0.000027914635,0.06014754,0.000007296058,0.000044675075,0.00021236378,0.000087194116,0.00006471078,0.00016733893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830365,0.000007685033,0.0005097524,0.0003837949,0.00013478671,0.00066035864],"domain_scores_gemma":[0.99936324,0.00016107461,0.00003432745,0.00029359915,0.000079591744,0.00006815861],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035568074,0.00031373292,0.00032296084,0.00029290657,0.000058757178,0.00007716043,0.00021383732,0.00017439602,0.000005137463],"category_scores_gemma":[0.00027330383,0.000369772,0.000093977214,0.00050380925,0.000014029283,0.00032185295,0.00006350464,0.00035699506,0.0000099902945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049584898,0.000036062087,0.000009081142,0.00029852815,0.000053441163,0.0000024935587,0.00074437796,0.95855355,0.03927943,0.00015985587,0.00021395215,0.0005996439],"study_design_scores_gemma":[0.0019350032,0.00004109394,0.0005289233,0.00047717796,0.000012693941,0.0000011566132,0.00013903313,0.9621082,0.033352803,0.000035557558,0.0010029551,0.0003654035],"about_ca_topic_score_codex":0.00001909795,"about_ca_topic_score_gemma":0.000020797474,"teacher_disagreement_score":0.8646014,"about_ca_system_score_codex":0.0005230425,"about_ca_system_score_gemma":0.000034520344,"threshold_uncertainty_score":0.9998754},"labels":[],"label_agreement":null},{"id":"W4413049731","doi":"10.1016/j.rineng.2025.106498","title":"Spatiotemporal analysis of land surface temperature and wind dynamics during winter in Bangladesh","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Climate variability and models","field":"Environmental Science","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 Calgary","funders":"Google; National Aeronautics and Space Administration","keywords":"Environmental science; Climatology; Atmospheric sciences; Surface (topology); Meteorology; Geography; Physical geography; Geology; Mathematics; Geometry","score_opus":0.003949684831383229,"score_gpt":0.20518403854725537,"score_spread":0.20123435371587214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413049731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991479,0.000023385921,0.000097969176,0.00007867534,0.000028462813,0.00006833511,0.000033631517,0.0000097209695,0.00051193166],"genre_scores_gemma":[0.9994627,0.000020163228,0.00041746307,0.0000043689206,0.000002201116,7.6637986e-7,0.000016469367,0.0000035602434,0.00007230596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993944,0.000012459807,0.00022279572,0.00018120496,0.000067965615,0.00012116963],"domain_scores_gemma":[0.9997647,0.000058260153,0.000021718015,0.00013394504,0.0000024594622,0.000018935238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002206955,0.0000724579,0.00016430418,0.00014134742,0.00001003693,0.000009987863,0.000064112784,0.00006658533,0.000012087695],"category_scores_gemma":[0.00005136948,0.0000731226,0.00002440471,0.000713644,0.000021853688,0.000079889236,0.0000843213,0.00011671141,3.6722918e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017593673,0.000013063331,0.3521767,0.00002795396,0.000013470138,0.0000021462274,0.0002489913,0.6435906,0.0038689289,0.0000131549195,8.891338e-7,0.00002651253],"study_design_scores_gemma":[0.00030017583,0.0000032221874,0.53304505,0.00005291765,0.000013066323,1.8321093e-7,0.000025022882,0.46601343,0.00048275635,0.000007946218,0.000006688338,0.000049503513],"about_ca_topic_score_codex":0.00055283774,"about_ca_topic_score_gemma":0.002880061,"teacher_disagreement_score":0.1808684,"about_ca_system_score_codex":0.00014500538,"about_ca_system_score_gemma":0.000003275533,"threshold_uncertainty_score":0.29818532},"labels":[],"label_agreement":null},{"id":"W4413119618","doi":"10.1016/j.rineng.2025.106644","title":"Performance analysis and feed location optimization for enhanced isolation and polarization control in dual differentially fed antennas","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Carleton University","funders":"National Research Council Canada","keywords":"Isolation (microbiology); Dual (grammatical number); Dual-polarization interferometry; Polarization (electrochemistry); Computer science; Materials science; Electronic engineering; Biology; Engineering; Telecommunications; Chemistry; Antenna (radio); Bioinformatics","score_opus":0.004102949687623384,"score_gpt":0.201626271841867,"score_spread":0.1975233221542436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413119618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50596154,0.000116842544,0.49357164,0.000033312732,0.000037015205,0.00020153115,0.0000072111548,0.000057644025,0.000013257019],"genre_scores_gemma":[0.9910011,0.0003017519,0.008423778,0.000005447562,0.000010920115,0.00007723509,0.00015011503,0.000015591437,0.000014028539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925125,0.00001674103,0.00035813177,0.00016610028,0.000057049652,0.00015074483],"domain_scores_gemma":[0.99955183,0.00015639132,0.000036867765,0.00017350166,0.00005913872,0.00002226419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017000342,0.00012339516,0.00019576686,0.0006720141,0.00004120969,0.000043570526,0.000051897736,0.00009144981,6.069208e-7],"category_scores_gemma":[0.00013255292,0.00014877552,0.000017794482,0.0010200146,0.000011658074,0.0002176717,0.000015301093,0.000108305496,1.1328219e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052017956,0.000011472089,0.0036551193,0.0001390775,0.000050957424,8.387696e-8,0.00028802778,0.96061975,0.03396341,0.000060069746,4.7093417e-7,0.0011595262],"study_design_scores_gemma":[0.0013839704,0.000012431523,0.1388458,0.000114721486,0.00004551031,2.1709698e-7,0.000021281076,0.85790986,0.0015549369,0.0000011095514,0.0000024327471,0.000107708634],"about_ca_topic_score_codex":0.000020002362,"about_ca_topic_score_gemma":0.00016876453,"teacher_disagreement_score":0.48514786,"about_ca_system_score_codex":0.0000988572,"about_ca_system_score_gemma":0.000010259521,"threshold_uncertainty_score":0.606689},"labels":[],"label_agreement":null},{"id":"W4413191133","doi":"10.1016/j.rineng.2025.106660","title":"LLM-driven agent for speech-enabled control of industrial robots: A case study in snow-crab quality inspection","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Atlantic Canada Opportunities Agency","keywords":"Quality (philosophy); Snow; Robot; Control (management); Computer science; Environmental science; Artificial intelligence; Geography; Meteorology; Physics","score_opus":0.05118323748346295,"score_gpt":0.3073325144293131,"score_spread":0.25614927694585016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413191133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99254113,0.000009807821,0.005674952,0.00011537393,0.00037011597,0.0010328261,0.000018236615,0.00016509587,0.00007244195],"genre_scores_gemma":[0.9977085,0.0000029189735,0.0021016102,0.0000039097113,0.00003171266,0.000113489674,0.0000018608795,0.000009482219,0.000026532292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99851793,0.00007768495,0.00065033167,0.00032146514,0.00016919292,0.0002633683],"domain_scores_gemma":[0.99921405,0.00032455064,0.00008958786,0.00034212353,0.000008933649,0.00002077072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011664795,0.00014114575,0.00029597935,0.00023133909,0.00003092846,0.000016113177,0.00021790355,0.00013983571,0.0000016880385],"category_scores_gemma":[0.001489311,0.0001449898,0.000041413794,0.00059206644,0.000039379327,0.00011559295,0.0001588319,0.00025432953,0.0000015957967],"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":[0.00033644662,0.00061582006,0.20324554,0.00006321748,0.000036540947,0.00021678122,0.0014938257,0.7816018,0.0062805912,0.000071054375,0.00007697083,0.0059614526],"study_design_scores_gemma":[0.080788404,0.0023065382,0.39981756,0.0021088882,0.00015859904,0.000087370696,0.02754624,0.3470342,0.13574454,0.0010383149,0.0011665715,0.002202802],"about_ca_topic_score_codex":0.0060445988,"about_ca_topic_score_gemma":0.001358345,"teacher_disagreement_score":0.4345676,"about_ca_system_score_codex":0.0006616686,"about_ca_system_score_gemma":0.000012778541,"threshold_uncertainty_score":0.91376656},"labels":[],"label_agreement":null},{"id":"W4413237169","doi":"10.1016/j.rineng.2025.106699","title":"Mechanical rolling of nickel nanowire-PVDF composites yields enhanced conductivity and electromagnetic shielding properties","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Alberta","keywords":"Electromagnetic shielding; Composite material; Materials science; Nanowire; Nickel; Conductivity; Metallurgy; Nanotechnology","score_opus":0.01102033132520588,"score_gpt":0.22314676467372155,"score_spread":0.21212643334851566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413237169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961339,0.0005910063,0.0022992846,0.00011563673,0.00025810907,0.00023588457,0.0000063509087,0.00008565476,0.0002741527],"genre_scores_gemma":[0.99370944,0.000071791204,0.006017192,0.000015439147,0.000029936666,0.000024699955,0.0000019207566,0.000014088106,0.00011549504],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985332,0.00007042362,0.0005451967,0.0003458719,0.00015698577,0.0003483365],"domain_scores_gemma":[0.99935526,0.0002362066,0.00009003673,0.00023030235,0.00004814463,0.000040030496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063995406,0.0001759389,0.00037341184,0.0001927342,0.000041760737,0.00005542082,0.00018368606,0.00011734997,0.000019075707],"category_scores_gemma":[0.00050446234,0.00016896192,0.000031230527,0.0002664169,0.000053918644,0.00014174501,0.00010503506,0.00014611924,0.0000032328394],"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":[0.0001224645,0.00003331386,0.00001168968,0.00020305248,0.0000069762614,0.0000018081241,0.00015982367,0.0038953812,0.99444914,0.0009556905,0.00000450223,0.0001561456],"study_design_scores_gemma":[0.00067704835,0.00017750774,0.0004434841,0.00042637862,0.000012779104,0.0000045230017,0.00002893727,0.00831753,0.9895463,0.00020041715,0.000009645689,0.00015546537],"about_ca_topic_score_codex":0.000058917143,"about_ca_topic_score_gemma":0.0000143038715,"teacher_disagreement_score":0.004902868,"about_ca_system_score_codex":0.000054513202,"about_ca_system_score_gemma":0.000041479012,"threshold_uncertainty_score":0.6890067},"labels":[],"label_agreement":null},{"id":"W4413274314","doi":"10.1016/j.rineng.2025.106803","title":"Development of a bench-scale Kroll reactor: Experimental results and preliminary findings","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Molten salt chemistry and electrochemical processes","field":"Chemical 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 British Columbia","funders":"","keywords":"Scale (ratio); Environmental science; Economics; Nuclear engineering; Engineering; Geography; Cartography","score_opus":0.0069820679888794365,"score_gpt":0.2336825616410566,"score_spread":0.22670049365217718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413274314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99229187,0.00082338037,0.0012365573,0.000054650944,0.00006022619,0.000108213455,0.000014304224,0.00010784825,0.0053029223],"genre_scores_gemma":[0.99188167,0.00002092093,0.0077716773,0.0000092787905,0.000025324878,0.000026975285,0.000032554843,0.00001643736,0.00021518282],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985679,0.0000034911857,0.0006226857,0.00034655523,0.00014384752,0.0003155482],"domain_scores_gemma":[0.9994968,0.00016264462,0.000050282528,0.00019206779,0.000024872837,0.00007333917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001789084,0.00020157067,0.0002645672,0.00011796938,0.00002369197,0.000010900588,0.00016946855,0.0001510115,0.0000033603662],"category_scores_gemma":[0.00036814532,0.00021400927,0.000033714416,0.00030874505,0.000024770517,0.00008468688,0.00012540455,0.00027396408,0.0000010290962],"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":[0.00040915995,0.00007173282,0.000022263086,0.00044415813,0.000020898799,0.0000039647302,0.001197032,0.0016201601,0.9955598,0.0000498392,0.00008280227,0.0005181867],"study_design_scores_gemma":[0.001305696,0.000020914651,0.00013800821,0.00050182414,0.000006281586,0.000003945075,0.00012656528,0.013671381,0.98263836,0.000007678263,0.0013885783,0.00019078623],"about_ca_topic_score_codex":0.000006622789,"about_ca_topic_score_gemma":0.000001094015,"teacher_disagreement_score":0.012921461,"about_ca_system_score_codex":0.00011782728,"about_ca_system_score_gemma":0.000040039737,"threshold_uncertainty_score":0.8727045},"labels":[],"label_agreement":null},{"id":"W4413805226","doi":"10.1016/j.rineng.2025.106995","title":"Analyzing internet of things emergence for modern electric vehicle industry","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Electric Vehicles and Infrastructure","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":"University of Tabriz","keywords":"Internet of Things; Electric vehicle; Industrial Internet; The Internet; Business; Computer security; Computer science; Internet privacy; Engineering; Commerce; World Wide Web; Physics","score_opus":0.005067745524620614,"score_gpt":0.21321450180901444,"score_spread":0.20814675628439383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413805226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73632884,0.0019328138,0.2589657,0.000043803586,0.0003489665,0.0002348334,0.000008385313,0.00023110905,0.0019055363],"genre_scores_gemma":[0.99727523,0.00007161331,0.0024665205,0.000011496309,0.00003417241,0.000016220343,0.000004738195,0.000023046958,0.00009696324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905115,0.000004725938,0.00039883534,0.00016763431,0.00007344147,0.00030423826],"domain_scores_gemma":[0.99965626,0.00008092342,0.000032069864,0.00016463679,0.000033613942,0.00003251267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001634385,0.00014445034,0.00020977107,0.00034828577,0.000012245739,0.000012607781,0.00020238534,0.00020993772,0.0000033075596],"category_scores_gemma":[0.00011846305,0.00015654728,0.000056189754,0.00084122084,0.000005267427,0.00013444514,0.000026048478,0.00045894034,3.9968424e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029007837,0.000010091442,0.0009714663,0.000349839,0.000058558104,0.0000016701381,0.00037308206,0.852956,0.11075746,0.0007419987,0.00062480656,0.03312605],"study_design_scores_gemma":[0.00042097294,0.000020323274,0.0016652832,0.0001643584,0.000009094042,8.0705973e-7,0.000011271454,0.9258639,0.07112135,0.00027674573,0.00031772794,0.00012812573],"about_ca_topic_score_codex":0.000021476748,"about_ca_topic_score_gemma":0.000002076831,"teacher_disagreement_score":0.2609464,"about_ca_system_score_codex":0.00008181692,"about_ca_system_score_gemma":0.000018305716,"threshold_uncertainty_score":0.63838124},"labels":[],"label_agreement":null},{"id":"W4413841218","doi":"10.1016/j.rineng.2025.107010","title":"Modeling of morphologically realistic large-scale multicellular electroporation for population-level analysis","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroporation; Multicellular organism; Scale (ratio); Population; Scale analysis (mathematics); Biology; Computer science; Evolutionary biology; Biological system; Geography; Cartography; Genetics; Cell; Medicine","score_opus":0.01773544683574888,"score_gpt":0.2999338799364907,"score_spread":0.2821984331007418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413841218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31670356,0.000045870587,0.68299603,0.000015025547,0.000024959083,0.00011169284,0.00004898263,0.000006492423,0.0000473541],"genre_scores_gemma":[0.8721002,0.000013727999,0.12690923,0.000012849726,0.00002537529,0.000014425453,0.0008112706,0.000006635201,0.00010633323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992513,0.000027436565,0.00033718024,0.00020728885,0.000045845136,0.00013096306],"domain_scores_gemma":[0.9996233,0.000033886507,0.000055297547,0.00018307666,0.00008984711,0.000014570837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043660676,0.000079171485,0.00015458209,0.00018942688,0.000019589197,0.0000065260674,0.00007804771,0.0001093756,0.0000011253032],"category_scores_gemma":[0.00073200517,0.000084789084,0.000072391726,0.0003931541,0.000004610306,0.0000034140162,0.00002434038,0.000051923824,7.591978e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005970244,0.000016810269,0.00016438976,0.000022579126,0.000037602753,1.2117745e-7,0.000012914222,0.5775593,0.42187196,0.00016910827,0.000007808622,0.000077694436],"study_design_scores_gemma":[0.00050403574,0.000027882494,0.0014472605,0.000015068964,0.00005189599,1.6939548e-7,0.000016331334,0.9188388,0.07885124,0.000040345818,0.00012919487,0.00007780246],"about_ca_topic_score_codex":0.000073146315,"about_ca_topic_score_gemma":0.00009054285,"teacher_disagreement_score":0.55608684,"about_ca_system_score_codex":0.000027528973,"about_ca_system_score_gemma":0.000016125092,"threshold_uncertainty_score":0.34575984},"labels":[],"label_agreement":null},{"id":"W4413882089","doi":"10.1016/j.rineng.2025.107041","title":"Multi-material topology optimization for buckling-resistant designs under thermo-mechanical coupling loads","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Science and Technology Bureau, Changsha","keywords":"Topology optimization; Coupling (piping); Buckling; Topology (electrical circuits); Materials science; Structural engineering; Mechanical engineering; Computer science; Composite material; Engineering; Finite element method; Electrical engineering","score_opus":0.01559450961081837,"score_gpt":0.2526145439124441,"score_spread":0.23702003430162571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413882089","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0127198445,0.00022439288,0.98281056,0.00010983574,0.0025459547,0.00048851443,0.000057185625,0.00088435813,0.00015933994],"genre_scores_gemma":[0.797434,0.000086164764,0.20191208,0.000025254742,0.00013344706,0.00016294923,0.000076640914,0.00009542704,0.00007409094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982029,0.0000139346985,0.000716395,0.00038285094,0.00010232032,0.00058160524],"domain_scores_gemma":[0.9991698,0.00032175577,0.000044852568,0.00033033546,0.00006260396,0.00007063748],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037177422,0.00033291263,0.00038539886,0.00049119897,0.00006776337,0.000050377566,0.00027093463,0.0003765686,0.000024316354],"category_scores_gemma":[0.000316234,0.00039172667,0.0000792596,0.00046339814,0.000033528297,0.00013500477,0.00005568198,0.0002815327,0.0000026030823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009180163,0.00002351178,0.0000072675048,0.00016558998,0.00005643253,0.0000041268427,0.0000694706,0.9674652,0.029920746,0.0020403462,0.00005276567,0.000102723876],"study_design_scores_gemma":[0.0019153885,0.000029060686,0.00009321006,0.00015444342,0.000023069933,0.000002946395,0.000054798733,0.98398364,0.01303627,0.000043721222,0.0003252822,0.00033814783],"about_ca_topic_score_codex":0.000009012349,"about_ca_topic_score_gemma":0.000012176808,"teacher_disagreement_score":0.7847141,"about_ca_system_score_codex":0.00032203537,"about_ca_system_score_gemma":0.000035977468,"threshold_uncertainty_score":0.9998535},"labels":[],"label_agreement":null},{"id":"W4413903561","doi":"10.1016/j.rineng.2025.107078","title":"Hydraulic fracture initiation and propagation mechanisms in deep coalbed methane reservoirs based on Computed Tomography image reconstruction","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","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 Calgary","funders":"","keywords":"Coalbed methane; Geology; Hydraulic fracturing; Fracture (geology); Computed tomography; Tomography; Petroleum engineering; Radiology; Medicine; Geotechnical engineering; Engineering; Coal; Coal mining","score_opus":0.004113905393749117,"score_gpt":0.20330752712445724,"score_spread":0.19919362173070812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413903561","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23835509,0.0003673911,0.75624794,0.00077781465,0.00051563233,0.00056515896,0.000013451073,0.0005909681,0.0025665665],"genre_scores_gemma":[0.9917377,0.00005821885,0.007965221,0.000065929504,0.0000327419,0.00003996095,0.000066009816,0.00002723292,0.0000069358684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986927,0.00006018288,0.00046453497,0.00031535717,0.00018193341,0.00028532685],"domain_scores_gemma":[0.9993746,0.00022475462,0.00004705529,0.0002595934,0.00003540894,0.00005853021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044838298,0.00023272238,0.0002928268,0.0014781125,0.00003298124,0.000050168845,0.00011648965,0.00021046743,0.0000042305915],"category_scores_gemma":[0.00022769466,0.00023917864,0.00005961353,0.0012659759,0.000018205872,0.000192886,0.000020120488,0.0004826366,0.0000018486904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005236086,0.000021288264,0.00012334451,0.00022490419,0.000026441101,0.000013607352,0.00014783049,0.99313694,0.0033547883,0.000019651063,0.000016665907,0.0028621855],"study_design_scores_gemma":[0.0013101476,0.000025930476,0.0074716005,0.0006333076,0.000015809848,0.0000022735683,0.000049397622,0.96498924,0.025030674,0.00016193958,0.0000972504,0.00021239553],"about_ca_topic_score_codex":0.00008976104,"about_ca_topic_score_gemma":0.00012566282,"teacher_disagreement_score":0.7533827,"about_ca_system_score_codex":0.00016974335,"about_ca_system_score_gemma":0.000016388667,"threshold_uncertainty_score":0.97534215},"labels":[],"label_agreement":null},{"id":"W4413920265","doi":"10.1016/j.rineng.2025.106963","title":"Stabilizing β-carotene-loaded Pickering emulsion with chitin nanoparticles extracted from insect shells using deep eutectic solvents","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","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 Waterloo","funders":"Agricultural Science and Technology Innovation Program; Earmarked Fund for China Agriculture Research System; China Agricultural Research System; Chinese Academy of Agricultural Sciences; Natural Science Foundation of Hunan Province","keywords":"Pickering emulsion; Chitin; Eutectic system; Emulsion; Nanoparticle; Materials science; Deep eutectic solvent; Chemical engineering; Nanotechnology; Chitosan; Composite material; Microstructure; Engineering","score_opus":0.02375847650665871,"score_gpt":0.21810616123566054,"score_spread":0.19434768472900182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413920265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979011,0.00041714305,0.0006576557,0.000055260523,0.00023401604,0.00039755882,0.00001993712,0.00018061665,0.00013675769],"genre_scores_gemma":[0.9983732,0.000008628379,0.0014390816,0.0000131505385,0.00010935918,0.000026958673,0.000016666092,0.000004118506,0.000008800505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99832493,0.00007011852,0.00048182893,0.00044573276,0.00023540841,0.00044200988],"domain_scores_gemma":[0.99939007,0.00026505004,0.00009938002,0.00013843135,0.00003636268,0.00007070786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002762104,0.00022910144,0.0002792343,0.0000655997,0.00011357704,0.00009089663,0.00026648355,0.00012897002,0.000012085033],"category_scores_gemma":[0.0002277221,0.00011335578,0.00005202106,0.00068717345,0.000022342252,0.00018935584,0.00011647259,0.000262785,0.000004382598],"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":[0.00009882389,0.00003845949,0.001715323,0.000026603493,0.000023039987,0.000015848984,0.00018007941,0.03404658,0.9551331,0.0000068972004,5.6393645e-7,0.008714681],"study_design_scores_gemma":[0.0010125535,0.00013030614,0.08648214,0.0013577329,0.000020906584,0.0000072984194,0.0004177348,0.07802006,0.8319187,0.000037578357,0.00016339553,0.00043155003],"about_ca_topic_score_codex":0.0010825024,"about_ca_topic_score_gemma":0.0006187342,"teacher_disagreement_score":0.12321436,"about_ca_system_score_codex":0.00017654471,"about_ca_system_score_gemma":0.0000099948065,"threshold_uncertainty_score":0.46225145},"labels":[],"label_agreement":null},{"id":"W4413951158","doi":"10.1016/j.rineng.2025.106766","title":"Solar and battery-oriented grid connected microgrid for peak and off peak hour operation","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Northern Border University; University Grants Commission; Université Laval","keywords":"Microgrid; Battery (electricity); Grid; Photovoltaic system; Environmental science; Electrical engineering; Automotive engineering; Computer science; Engineering; Renewable energy; Power (physics); Physics; Geography; Geodesy","score_opus":0.002427279571311111,"score_gpt":0.18144419798095904,"score_spread":0.17901691840964792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413951158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67085403,0.019958738,0.30311424,0.0006667289,0.002181332,0.001586424,0.00031253634,0.0009108656,0.0004151038],"genre_scores_gemma":[0.9912299,0.0021412373,0.0060965344,0.000044930235,0.0001680768,0.00007234478,0.0001622578,0.00003893559,0.00004579259],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922234,0.00000911873,0.0002834098,0.0002123801,0.00004644544,0.00022628866],"domain_scores_gemma":[0.9996856,0.00009882491,0.000017566425,0.00011849461,0.000037483915,0.000042018415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015594374,0.00016286965,0.00018803004,0.00020391982,0.000042408607,0.00006317624,0.000053287098,0.00009017126,0.000001543077],"category_scores_gemma":[0.00012019622,0.0001773237,0.00002259749,0.0001702266,0.000010574699,0.00013756858,0.000027194967,0.00012338656,6.2880827e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008533427,0.000015399517,0.00018715349,0.0003581414,0.000060914004,0.0000035164805,0.00041788738,0.92935723,0.04698062,0.00013403091,0.0007755753,0.02162419],"study_design_scores_gemma":[0.0024183262,0.000024873767,0.00431566,0.00015124536,0.000018906923,0.000004308525,0.000042348685,0.9737809,0.004238022,0.000005289019,0.014804833,0.0001953106],"about_ca_topic_score_codex":0.000009458588,"about_ca_topic_score_gemma":0.000022336575,"teacher_disagreement_score":0.32037586,"about_ca_system_score_codex":0.000046889076,"about_ca_system_score_gemma":0.000009347228,"threshold_uncertainty_score":0.7231051},"labels":[],"label_agreement":null},{"id":"W4414039474","doi":"10.1016/j.rineng.2025.107123","title":"Global insights into biomass pyrolysis mechanisms: A scientometric and mechanistic approach","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Thermochemical Biomass Conversion Processes","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":"Thornhill Medical (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Biomass (ecology); Pyrolysis; Biochemical engineering; Environmental science; Data science; Computer science; Biology; Engineering; Ecology; Chemical engineering","score_opus":0.005303110259795996,"score_gpt":0.2079178775032309,"score_spread":0.2026147672434349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414039474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6001764,0.005088215,0.3882539,0.000050917595,0.00068981946,0.0003324168,0.000021875281,0.0010844385,0.0043020356],"genre_scores_gemma":[0.9895331,0.00008602113,0.010279149,0.000011446439,0.000013284474,0.000027248592,0.000010151652,0.000018044673,0.000021542977],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987848,0.000009232346,0.00032181406,0.0003672292,0.00020247273,0.00031445833],"domain_scores_gemma":[0.99950665,0.000094971365,0.00002192924,0.00024199196,0.000033977027,0.00010045794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017365224,0.00022758567,0.0002467386,0.0011589447,0.00003711983,0.00006304966,0.0002634024,0.00015167103,0.0000023865732],"category_scores_gemma":[0.00031355498,0.00023398119,0.000037783167,0.0053034197,0.000026216832,0.00012651717,0.00013391262,0.00011872071,0.0000045790666],"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":[0.000089908455,0.000112982176,0.000116680436,0.0029673001,0.00022747241,0.000044508623,0.00067700114,0.039373543,0.9117947,0.029410243,0.00019067351,0.014994963],"study_design_scores_gemma":[0.0021815016,0.00003451237,0.00079993444,0.0003402207,0.000060658134,0.000009548299,0.0002332407,0.49101374,0.49591765,0.007939425,0.0007065328,0.0007630278],"about_ca_topic_score_codex":0.000019705418,"about_ca_topic_score_gemma":0.0000043090554,"teacher_disagreement_score":0.45164022,"about_ca_system_score_codex":0.00029740797,"about_ca_system_score_gemma":0.000020393061,"threshold_uncertainty_score":0.9541476},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W4414056061","doi":"10.1016/j.rineng.2025.107181","title":"Study on compaction characteristics of soft and hard red-bed rock fillers and energy dissipation model of particle crushing","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; Chang'an University","keywords":"Gradation; Compaction; Dissipation; Fractal dimension; Particle (ecology); Range (aeronautics); Fractal; Particle size","score_opus":0.01578002005836511,"score_gpt":0.22693634862702217,"score_spread":0.21115632856865707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414056061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587234,0.00005452872,0.040809896,0.000010252955,0.0001365571,0.000058833186,0.000011179838,0.00005524947,0.00014009385],"genre_scores_gemma":[0.99964553,0.000050399056,0.00025040805,0.0000028733664,0.000009159664,0.0000060420602,0.0000046262517,0.00001220809,0.000018775892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993446,0.00001288101,0.0003245001,0.000121972735,0.00007047375,0.00012560948],"domain_scores_gemma":[0.9996969,0.00008895077,0.000045942765,0.00011999803,0.000020168463,0.000028035469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015559366,0.00010237532,0.00020871792,0.00012382584,0.00001723877,0.000008249809,0.000041598956,0.0000609981,1.9577223e-7],"category_scores_gemma":[0.00015266114,0.000112353046,0.0000144821215,0.00011977736,0.0000069223934,0.00006243645,0.000023184588,0.00009694228,5.3717145e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057339952,0.000046085584,0.0025513235,0.00011408801,0.000031504776,0.0000012580598,0.0021882993,0.9704262,0.019398917,0.0019221996,0.0000054709267,0.0032573114],"study_design_scores_gemma":[0.00061484193,0.0000512028,0.034558013,0.00013985603,0.000012597928,3.5659653e-7,0.0003343195,0.9570369,0.0071339514,0.000033832483,0.0000040897353,0.000080021106],"about_ca_topic_score_codex":0.00001939392,"about_ca_topic_score_gemma":0.0000109438015,"teacher_disagreement_score":0.0409221,"about_ca_system_score_codex":0.000035240413,"about_ca_system_score_gemma":0.0000056179174,"threshold_uncertainty_score":0.45816243},"labels":[],"label_agreement":null},{"id":"W4414056186","doi":"10.1016/j.rineng.2025.107168","title":"Modification strategies of conductive polymers with advanced carbon materials for energy and environmental solutions","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Railway Systems and Materials Science","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto Mississauga; Universiti Tenaga Nasional; Universiti Kebangsaan Malaysia; Ministry of Higher Education, Malaysia; Tenaga Nasional Berhad","keywords":"Environmental remediation; Nanocomposite; Photocatalysis; Hydrogen production; Oxygen evolution; Carbon fibers; Energy storage; Groundwater remediation","score_opus":0.007422173952194037,"score_gpt":0.19963408092525084,"score_spread":0.1922119069730568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414056186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770481,0.00046537857,0.021289185,0.000010916412,0.00026524684,0.00016743813,0.000106668405,0.00005033792,0.0005967594],"genre_scores_gemma":[0.99887073,0.00007421263,0.00094970316,5.6333295e-7,0.000009327622,0.000058270976,0.000011299831,0.000008424661,0.000017449942],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995222,0.0000044968306,0.00018364718,0.000110335604,0.000051442094,0.00012787619],"domain_scores_gemma":[0.9998396,0.000027909393,0.00002382974,0.000086882086,0.0000070929063,0.000014666847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010117635,0.00007912669,0.00012680423,0.000091095615,0.000013460064,0.000014395226,0.00004326326,0.000032439173,4.9721814e-7],"category_scores_gemma":[0.0000106282405,0.00007509681,0.0000068783447,0.00007150701,0.000034926998,0.0001045904,0.000009279495,0.000015265234,2.0231798e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017838931,0.0000031040252,0.0000015406355,0.000079030564,0.0000058799947,1.5218237e-7,0.00012289321,0.31488755,0.68144,0.0031859044,0.0000012252907,0.00025485663],"study_design_scores_gemma":[0.0009895756,0.00005529423,0.00071450154,0.00024179315,0.000009909886,0.0000021688759,0.0018671518,0.16189004,0.83376586,0.00007379735,0.00022342592,0.00016647798],"about_ca_topic_score_codex":0.00009684748,"about_ca_topic_score_gemma":0.000023175364,"teacher_disagreement_score":0.15299752,"about_ca_system_score_codex":0.000051088937,"about_ca_system_score_gemma":0.0000124698045,"threshold_uncertainty_score":0.3062359},"labels":[],"label_agreement":null},{"id":"W4414083190","doi":"10.1016/j.rineng.2026.110404","title":"Enhanced approach for gears-bearings defect diagnosis based on optimized artificial neural network model and features selection graphical technique","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Machine Fault Diagnosis Techniques","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 Guelph","funders":"","keywords":"Artificial neural network; Selection (genetic algorithm); Feature selection; Pattern recognition (psychology); Fault (geology); Taguchi methods; Time delay neural network","score_opus":0.007341463773929021,"score_gpt":0.2530910094019905,"score_spread":0.24574954562806145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414083190","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037093893,0.00015453347,0.9588225,0.000067408655,0.00012470204,0.0014539885,0.000027775232,0.0013907776,0.00086442486],"genre_scores_gemma":[0.82927924,0.00006651905,0.16781902,0.000044655004,0.00007444647,0.0026158814,0.000036279234,0.00005765264,0.0000062821377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985178,0.000028343393,0.00040436792,0.0004438272,0.00013858637,0.00046706953],"domain_scores_gemma":[0.9991582,0.00047775917,0.00003334867,0.00023497108,0.000032014617,0.00006372638],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004895512,0.00033191853,0.00037345395,0.0005116607,0.00006712341,0.000068099,0.000163722,0.00029606905,6.068443e-7],"category_scores_gemma":[0.00034853077,0.00035869845,0.00013267227,0.0006783351,0.000020970805,0.0000911869,0.00003694793,0.0005699405,1.35859e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017996991,0.00005148896,0.000091250666,0.0002317748,0.000022575972,8.966001e-7,0.000026615144,0.9892218,0.0069222013,0.0005721452,0.00069839373,0.0019808682],"study_design_scores_gemma":[0.00071730535,0.000065323075,0.00055142824,0.00023126589,0.000023000543,0.0000010985152,0.0000017578847,0.94885725,0.049012613,0.00019553477,0.000048023212,0.00029539654],"about_ca_topic_score_codex":0.000014644771,"about_ca_topic_score_gemma":0.0000106164325,"teacher_disagreement_score":0.79218537,"about_ca_system_score_codex":0.00013257867,"about_ca_system_score_gemma":0.000014119503,"threshold_uncertainty_score":0.9998865},"labels":[],"label_agreement":null},{"id":"W4414281768","doi":"10.1016/j.rineng.2025.107155","title":"Advancing the carbon pricing framework in Indonesia: A systematic review of policies, challenges, and global lessons","year":2025,"lang":"en","type":"review","venue":"Results in Engineering","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Carbon tax; Sustainability; Emerging markets; Carbon finance; Best practice; Emissions trading; Carbon capture and storage (timeline)","score_opus":0.015366820603220905,"score_gpt":0.28250450046683634,"score_spread":0.2671376798636154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414281768","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001592099,0.9970893,0.000057664194,0.00012594757,0.00010915254,0.00075091183,0.000032868964,0.000035669793,0.0017825471],"genre_scores_gemma":[0.0020902024,0.99736464,0.00015506647,0.000033330212,0.000040046336,0.000241893,0.000024354305,0.000033887594,0.0000165808],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99745125,0.00017261201,0.0014480322,0.00033666784,0.00023153392,0.00035989046],"domain_scores_gemma":[0.9978704,0.0011140803,0.00039050428,0.0005657148,0.0000127140165,0.00004658966],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007448572,0.0004043846,0.0020805155,0.00026730527,0.000019730582,0.000009379801,0.00029901438,0.0002749549,4.3302313e-7],"category_scores_gemma":[0.0010262978,0.00030389585,0.00015936341,0.0007455222,0.000031685595,0.000040353007,0.000059842696,0.00045470207,3.8674145e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014344184,0.000016786045,0.0000026743235,0.9489814,0.00007356814,0.000008879953,0.0005090018,0.009248061,8.32006e-8,0.025945561,6.032975e-7,0.015211942],"study_design_scores_gemma":[0.00016503932,0.000008342773,0.00009965643,0.9887932,0.00041577194,0.000010106666,0.00013409877,0.00013884547,4.974309e-7,0.00006570528,0.0099154,0.00025335798],"about_ca_topic_score_codex":0.00078872766,"about_ca_topic_score_gemma":0.0007690636,"teacher_disagreement_score":0.03981177,"about_ca_system_score_codex":0.0002969308,"about_ca_system_score_gemma":0.00007767986,"threshold_uncertainty_score":0.9999413},"labels":[],"label_agreement":null},{"id":"W4414282252","doi":"10.1016/j.rineng.2025.107342","title":"Edge-enabled smart agriculture framework: Integrating IoT, lightweight deep learning, and agentic AI for context-aware farming","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Cloud computing; Scalability; Precision agriculture; Python (programming language); Agriculture; Software deployment; Deep learning; Multitier architecture","score_opus":0.005909812434776416,"score_gpt":0.21730111484470396,"score_spread":0.21139130240992754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414282252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97739273,0.0051422515,0.0067292103,0.00462859,0.0013355011,0.0013599478,0.00004974741,0.0005560936,0.0028059098],"genre_scores_gemma":[0.9968175,0.00010271548,0.0007490383,0.00021732661,0.00036769913,0.00007017026,0.00007962487,0.0000025299928,0.0015933838],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986299,0.000032983207,0.00036998358,0.00041980008,0.00011404479,0.00043324605],"domain_scores_gemma":[0.9990864,0.0006267183,0.00007254713,0.000049241295,0.000085049345,0.00008005991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026242572,0.00025560436,0.0003012061,0.000043282933,0.00022158636,0.00014089188,0.00017901753,0.000261285,0.000013949605],"category_scores_gemma":[0.0005881526,0.000101591555,0.0001005236,0.0005953191,0.000018378876,0.00009851597,0.00008648581,0.0005102874,0.000002880922],"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":[0.00043423922,0.0004412873,0.041981403,0.0009861563,0.0004061429,0.00009147458,0.0053059817,0.007494227,0.38265884,0.01662407,0.013061901,0.53051424],"study_design_scores_gemma":[0.0022136748,0.00042954818,0.08980869,0.003514818,0.00012077073,0.000026133863,0.0052414467,0.038027592,0.02428071,0.0009793208,0.8337831,0.0015741755],"about_ca_topic_score_codex":0.00006684366,"about_ca_topic_score_gemma":0.0005179786,"teacher_disagreement_score":0.8207212,"about_ca_system_score_codex":0.000051909003,"about_ca_system_score_gemma":0.0000057230113,"threshold_uncertainty_score":0.41427833},"labels":[],"label_agreement":null},{"id":"W4414298194","doi":"10.1016/j.rineng.2025.107170","title":"Airport traffic simulator for anti-icing runway winter products: Chemical performance by mechanical activation","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Runway; Replicate; Precipitation; Air temperature; Product (mathematics); Humidity","score_opus":0.005923130916409938,"score_gpt":0.20827463943611924,"score_spread":0.2023515085197093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414298194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9387791,0.00005033353,0.058733854,0.00015744465,0.00042877079,0.00032424784,0.000009309224,0.0013706968,0.00014625219],"genre_scores_gemma":[0.99681526,0.00002565297,0.002909323,0.000016918699,0.00006883422,0.000050246956,0.00002533532,0.000038815597,0.000049588933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988543,0.0000033475717,0.00039023435,0.0002835051,0.00010436496,0.00036428857],"domain_scores_gemma":[0.99949783,0.00013494078,0.000026617676,0.00028108258,0.000035046254,0.000024466579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024424816,0.00020596149,0.00025746107,0.00023582247,0.00003297361,0.000023414914,0.0001865255,0.00018876136,4.0585442e-7],"category_scores_gemma":[0.00044584787,0.00021363009,0.000041774918,0.00041148142,0.000013681836,0.00013611335,0.000037697853,0.00031807122,0.0000015870246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000360707,0.000020795367,0.00003993399,0.00047014086,0.000025586844,8.564303e-7,0.00010058974,0.8752544,0.11022605,0.00007164273,0.0014195057,0.0123344185],"study_design_scores_gemma":[0.00047787602,0.0000151487275,0.00009932626,0.0003497815,0.0000051789757,9.284289e-7,0.000018333605,0.50176454,0.4957083,0.000004957218,0.0014145188,0.0001411581],"about_ca_topic_score_codex":0.0000021913622,"about_ca_topic_score_gemma":3.8094342e-7,"teacher_disagreement_score":0.38548222,"about_ca_system_score_codex":0.00017751547,"about_ca_system_score_gemma":0.000017030969,"threshold_uncertainty_score":0.8711582},"labels":[],"label_agreement":null},{"id":"W4414301659","doi":"10.1016/j.rineng.2025.107174","title":"TransfusionNet: Framework for cervical cancer detection using deep learning with multi-level fusion","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"AI in cancer detection","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":"University of Waterloo","funders":"","keywords":"Deep learning; Pattern recognition (psychology); Robustness (evolution); Overfitting; Preprocessor; Feature (linguistics); Concatenation (mathematics); Thresholding; Histogram; Image fusion","score_opus":0.023363894114322787,"score_gpt":0.27803321513940576,"score_spread":0.254669321025083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414301659","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04769356,0.0002202194,0.9506174,0.00012085663,0.00081310514,0.0002921713,0.0000026216758,0.00021971838,0.000020387757],"genre_scores_gemma":[0.6955287,0.00004641883,0.3042216,0.000019757981,0.00007659323,0.00007161413,7.0671643e-7,0.000015543654,0.000019068979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988109,0.000024572935,0.00026577554,0.00043102712,0.00015887897,0.0003088846],"domain_scores_gemma":[0.99937236,0.00022448735,0.000056510326,0.00023752576,0.00006590938,0.000043201726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002533314,0.00016133978,0.0001628867,0.00028833645,0.00013967318,0.000062127074,0.00025586286,0.00015860752,0.0000013070913],"category_scores_gemma":[0.00014925643,0.00015896645,0.0000432436,0.00093404157,0.000011383849,0.00023979957,0.00006180693,0.000412258,5.065689e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100395104,0.00001589342,0.0001736918,0.00009206889,0.000012385513,0.0000021530286,0.0005688866,0.83293694,0.007888007,0.00034012465,3.3153378e-7,0.15786913],"study_design_scores_gemma":[0.0010875906,0.000062162275,0.0052748104,0.0005529688,0.000008609968,0.00000417159,0.000040783605,0.97659963,0.015721897,0.00011541354,0.0003484541,0.00018352293],"about_ca_topic_score_codex":0.0002053646,"about_ca_topic_score_gemma":0.00054231664,"teacher_disagreement_score":0.64783514,"about_ca_system_score_codex":0.0004103553,"about_ca_system_score_gemma":0.00004877716,"threshold_uncertainty_score":0.64824635},"labels":[],"label_agreement":null},{"id":"W4414475895","doi":"10.1016/j.rineng.2025.107380","title":"FL-SMPC++: A robust framework for privacy-preserving federated learning","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Privacy-Preserving Technologies in Data","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":"Brock University","funders":"Wenzhou-Kean University","keywords":"Scalability; Federated learning; Initialization; Adversarial system; Resilience (materials science); Consistency (knowledge bases); Cryptography; Information privacy; Key (lock)","score_opus":0.02274738225550315,"score_gpt":0.2702874391416036,"score_spread":0.24754005688610042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414475895","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004915971,0.00037332246,0.98189133,0.008931201,0.0007218259,0.00040828928,0.000010642803,0.001913868,0.00083353126],"genre_scores_gemma":[0.29770696,0.0000589763,0.70189434,0.00005529341,0.000047594138,0.00009687168,0.000014604068,0.000024573643,0.000100787736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976482,0.000044493863,0.0005557548,0.0007969405,0.00022943225,0.00072518474],"domain_scores_gemma":[0.99380016,0.0014286559,0.00011073754,0.0045100674,0.00008933597,0.0000610179],"candidate_categories":["metaresearch","metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.00091550854,0.0002780192,0.00032264472,0.0005706684,0.00017354736,0.00037352068,0.015741916,0.00031239848,0.000002041117],"category_scores_gemma":[0.123640165,0.00030713883,0.000073161704,0.0017276627,0.000025780855,0.00060467294,0.036692347,0.0009110702,0.0000060865073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016379765,0.00017563463,0.0013834704,0.0011084407,0.00018793611,0.00010120281,0.00086046197,0.8151046,0.0042413333,0.05605439,0.05322208,0.067396656],"study_design_scores_gemma":[0.0007080598,0.000032234697,0.0005025306,0.000875219,0.0000032209489,0.0000028928985,0.000041090883,0.9486831,0.0036124648,0.039526068,0.0057191267,0.00029402366],"about_ca_topic_score_codex":0.000029521183,"about_ca_topic_score_gemma":0.000007744989,"teacher_disagreement_score":0.29279098,"about_ca_system_score_codex":0.00023776543,"about_ca_system_score_gemma":0.00008257489,"threshold_uncertainty_score":0.9999381},"labels":[],"label_agreement":null},{"id":"W4414517347","doi":"10.1016/j.rineng.2025.107457","title":"A multi-scale case study on the variation of flax fiber properties: From single fiber and yarn to woven fabric and bio-based HDPE composites","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Composite number; Fiber; Ultimate tensile strength; Natural fiber; Differential scanning calorimetry; Woven fabric; Thermogravimetric analysis; Polyethylene; High-density polyethylene","score_opus":0.017192768387401407,"score_gpt":0.2329331101895274,"score_spread":0.21574034180212598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414517347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980049,0.00013695886,0.0009226526,0.00014114872,0.0000777337,0.0005861101,0.000032029566,0.000046580484,0.000051854986],"genre_scores_gemma":[0.9912321,6.8461736e-7,0.008571533,0.00003349091,0.000014050723,0.000027901855,0.0000028722266,0.000010518807,0.00010686348],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910975,0.00004824966,0.00029432267,0.00026539026,0.00012664618,0.00015567176],"domain_scores_gemma":[0.99914324,0.00048671672,0.000050404124,0.00024465978,0.000037517573,0.000037444795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022315865,0.00014310317,0.00018715825,0.00015305981,0.000054247954,0.00007719448,0.00011940821,0.000047830345,0.000007071563],"category_scores_gemma":[0.00018666635,0.00010178018,0.000016693013,0.0002812639,0.000021843913,0.000081105776,0.00010627412,0.000103546095,0.0000054091247],"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":[0.00012049268,0.00006414714,0.0001539994,0.000041437586,0.000011460524,0.000021129175,0.0022338151,0.056734174,0.94019103,0.0000047788935,0.0000073042697,0.00041623253],"study_design_scores_gemma":[0.0020108796,0.0003155482,0.0088042095,0.0007204229,0.000034502616,0.000011601386,0.00041461198,0.18901101,0.79829365,0.000007639118,0.00011066277,0.00026525857],"about_ca_topic_score_codex":0.0007180423,"about_ca_topic_score_gemma":0.000049189097,"teacher_disagreement_score":0.14189737,"about_ca_system_score_codex":0.000057231067,"about_ca_system_score_gemma":0.000012385146,"threshold_uncertainty_score":0.41504753},"labels":[],"label_agreement":null},{"id":"W4414805080","doi":"10.1016/j.rineng.2025.107470","title":"Adaptive filter-driven optimized attention-based CNN-LSTM for load forecasting in microgrids","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Hyperparameter; Estimator; Adaptive sampling; Microgrid; Mean squared error; Artificial neural network; Gradient descent; Hyperparameter optimization; Adaptive filter","score_opus":0.0159964544400479,"score_gpt":0.2206482240702754,"score_spread":0.2046517696302275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414805080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31985554,0.0014063416,0.6608336,0.00015460026,0.002861001,0.0012492943,0.00020201095,0.0011224672,0.012315113],"genre_scores_gemma":[0.9327216,0.000020771888,0.06674045,0.000018455275,0.000098453536,0.0001616575,0.000057520327,0.00005712303,0.00012396999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837875,0.000012994475,0.00061184214,0.00031698815,0.00012325408,0.0005561425],"domain_scores_gemma":[0.99912155,0.00050565164,0.00004285205,0.00022318208,0.00005132023,0.000055442873],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037071705,0.0002834121,0.00034739423,0.00047952723,0.00003791801,0.000040566978,0.00020541456,0.00015965803,0.0000034010197],"category_scores_gemma":[0.00031626664,0.0003284955,0.0001190733,0.0006295848,0.000015281703,0.00012326999,0.000037194644,0.00031235814,0.00000207564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108657216,0.000022468215,0.00026118432,0.00022936192,0.000029788294,0.00001536788,0.0001561217,0.9919782,0.0025188508,0.00011868413,0.0001279668,0.004433296],"study_design_scores_gemma":[0.003483418,0.00003023335,0.0005243186,0.0014444708,0.000010968675,0.0000015740007,0.000044938643,0.989091,0.0034793478,0.000019554544,0.0015671537,0.00030303077],"about_ca_topic_score_codex":0.00004301697,"about_ca_topic_score_gemma":0.000092230555,"teacher_disagreement_score":0.61286604,"about_ca_system_score_codex":0.00039198677,"about_ca_system_score_gemma":0.000055321154,"threshold_uncertainty_score":0.99991673},"labels":[],"label_agreement":null},{"id":"W4414806328","doi":"10.1016/j.rineng.2025.107572","title":"Quantifying the impacts of large-scale implementation of white roofs on the climate of Montreal Island through integrated super-resolution modeling","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Trottier Institute for Sustainability in Engineering and Design","keywords":"Urban heat island; Sea breeze; Roof; White (mutation); Urban climate; Climate model; Global warming; Urban area; Latent heat","score_opus":0.015281233803006902,"score_gpt":0.2675285647705446,"score_spread":0.2522473309675377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414806328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836608,0.000053160074,0.015025266,0.00014294259,0.000057954585,0.00023494272,0.00009638421,0.00001053356,0.00071799033],"genre_scores_gemma":[0.99942684,0.000065927656,0.00044586507,0.000010291494,0.000006246539,0.0000084692565,0.00002303241,0.0000062421213,0.0000070549318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990697,0.00004086134,0.00041453558,0.00012534308,0.00016662561,0.00018295711],"domain_scores_gemma":[0.99957484,0.00012503231,0.00008264011,0.00019277899,0.000014662934,0.000010052028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005691085,0.00008790362,0.00012964134,0.000051922994,0.000051479718,0.0000051272264,0.00012225578,0.000040408973,0.00001724122],"category_scores_gemma":[0.000078765384,0.000056028322,0.000037798694,0.00036320082,0.00002590822,0.00011516302,0.00007278401,0.000107478954,6.8223386e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006969664,0.000030481579,0.026022911,0.00004767481,0.00001138951,2.2131091e-7,0.0073229265,0.9380445,0.027693508,0.00026363076,0.00007322806,0.00041986033],"study_design_scores_gemma":[0.0007400967,0.00004485344,0.064145766,0.0002818681,0.0000138210735,3.5768454e-7,0.0023169948,0.8933071,0.038998734,0.00005970948,0.000027077886,0.00006363626],"about_ca_topic_score_codex":0.0026940324,"about_ca_topic_score_gemma":0.0069317636,"teacher_disagreement_score":0.044737387,"about_ca_system_score_codex":0.00009004261,"about_ca_system_score_gemma":0.000010362869,"threshold_uncertainty_score":0.4072589},"labels":[],"label_agreement":null},{"id":"W4415053970","doi":"10.1016/j.rineng.2025.107599","title":"Harnessing machine learning for rapid and cost-efficient 3D geometry generation in neighborhood energy modeling","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convolutional neural network; Energy modeling; Memory footprint; Footprint; Segmentation; Efficient energy use; 3D city models; Image processing; Artificial neural network; Ranging","score_opus":0.01399205476727228,"score_gpt":0.23049163643071024,"score_spread":0.21649958166343797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415053970","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06426239,0.0018596156,0.9329334,0.00004369085,0.00020597606,0.00028636953,0.000012676335,0.00020374978,0.00019214136],"genre_scores_gemma":[0.9861788,0.0002668628,0.013044297,0.0000121597,0.0000798804,0.0002547023,0.00010260637,0.000042137344,0.000018568191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988158,0.000011800186,0.00046509376,0.00029480582,0.0000911804,0.00032135608],"domain_scores_gemma":[0.9996002,0.00012277105,0.00002519639,0.00017387889,0.000035741698,0.00004226817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003214132,0.00018929859,0.00021095689,0.0005619938,0.000060680948,0.00005266305,0.00009860901,0.000118398886,9.1254657e-7],"category_scores_gemma":[0.00018906232,0.0002284378,0.000028594235,0.00054154824,0.0000072108733,0.000076980585,0.000042678585,0.00025807816,3.945757e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008590839,0.000015173709,0.000049110142,0.00008513088,0.000009313525,7.4370024e-7,0.00016636851,0.95601666,0.002854869,0.0005420326,0.0000047483777,0.040247273],"study_design_scores_gemma":[0.00091963814,0.000008534972,0.00006117535,0.00015052427,0.000007709384,0.0000010045271,0.000021239453,0.9970524,0.0009014483,0.000026330808,0.0006496915,0.00020034473],"about_ca_topic_score_codex":0.00008961176,"about_ca_topic_score_gemma":0.00007995833,"teacher_disagreement_score":0.92191637,"about_ca_system_score_codex":0.00018946173,"about_ca_system_score_gemma":0.000018462415,"threshold_uncertainty_score":0.9315423},"labels":[],"label_agreement":null},{"id":"W4415070987","doi":"10.1016/j.rineng.2025.107666","title":"Fatigue life prediction of beam structures with breathing cracks using finite element analysis","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Shaoguan University; Natural Science Foundation of Guangdong Province","keywords":"Finite element method; Beam (structure); Breathing; Work (physics); Deformation (meteorology)","score_opus":0.01735312146274467,"score_gpt":0.27756193600301027,"score_spread":0.2602088145402656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415070987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75291026,0.00033541681,0.24530652,0.000010411792,0.00035467237,0.0002383504,0.00006713925,0.00054397935,0.00023325712],"genre_scores_gemma":[0.9644899,0.000057632536,0.035317313,0.000004390978,0.00006600645,0.000015704938,0.000020052692,0.000024812769,0.0000042188817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998711,0.000012026117,0.00057987776,0.00021205375,0.0001971536,0.0002879153],"domain_scores_gemma":[0.9993781,0.00013999487,0.00006457305,0.00030914388,0.000048900754,0.00005927546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019712835,0.00020353773,0.00033735667,0.00087794743,0.000031897012,0.000019589716,0.0001494569,0.000115710696,0.0000017015243],"category_scores_gemma":[0.00013586598,0.00019723478,0.00005571088,0.0013602958,0.000014642185,0.0001228217,0.00003293293,0.0002768442,6.919494e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025294356,0.000003670726,0.0049278885,0.00036704,0.0002035823,0.0000032644825,0.00028771718,0.99145937,0.0012622557,0.0001041139,0.000007840276,0.0013479769],"study_design_scores_gemma":[0.0004225452,0.000026788119,0.072851986,0.00051610754,0.00012064906,0.0000014147599,0.000051411356,0.90809405,0.017670175,0.000037337704,0.000056933903,0.00015062492],"about_ca_topic_score_codex":0.00019393644,"about_ca_topic_score_gemma":0.0000108912445,"teacher_disagreement_score":0.2115796,"about_ca_system_score_codex":0.00027558644,"about_ca_system_score_gemma":0.000030913445,"threshold_uncertainty_score":0.8043001},"labels":[],"label_agreement":null},{"id":"W4415278176","doi":"10.1016/j.rineng.2025.107759","title":"Experimental study of heat and mass transfer in CO2 frost formation on a cryogenic cylinder","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"King Abdullah University of Science and Technology","keywords":"Grashof number; Frost (temperature); Reynolds number; Heptadecane; Flue gas; Freezing point; Thermal conductivity; Porosity","score_opus":0.008891136212007688,"score_gpt":0.22480752042800256,"score_spread":0.21591638421599488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415278176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955211,0.0009298528,0.002554141,0.000017377522,0.000112754824,0.00027275892,0.0000064266874,0.00016590676,0.00041962805],"genre_scores_gemma":[0.9997329,0.00005309114,0.00013269453,0.0000025659178,0.000005469204,0.000050035815,0.000002546837,0.000012604321,0.000008068034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993428,0.0000063141883,0.00028272174,0.00012507683,0.00008165298,0.0001614376],"domain_scores_gemma":[0.9997834,0.000044560325,0.0000047626263,0.00014816638,0.0000053485664,0.000013772671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090050824,0.0001254344,0.00017585684,0.00037449767,0.000008593394,0.000009189054,0.00007994655,0.00008824472,0.0000012954667],"category_scores_gemma":[0.000021699467,0.00013136983,0.000019268084,0.00030442956,0.00000919139,0.00008217774,0.000016421192,0.00016334128,5.5522366e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012045694,0.00018255449,0.0013406263,0.00012914761,0.000035835423,0.00001211279,0.0036529333,0.82448184,0.16929103,0.00015101078,0.00003012747,0.0005723103],"study_design_scores_gemma":[0.006677271,0.0003193849,0.01668004,0.00038731587,0.000011792378,0.0000023917814,0.008977383,0.5124786,0.45402783,0.000019255576,0.000102553095,0.00031616527],"about_ca_topic_score_codex":0.000019516172,"about_ca_topic_score_gemma":0.000039238745,"teacher_disagreement_score":0.31200325,"about_ca_system_score_codex":0.000100376295,"about_ca_system_score_gemma":0.0000037468847,"threshold_uncertainty_score":0.53571063},"labels":[],"label_agreement":null},{"id":"W4415320017","doi":"10.1016/j.rineng.2025.107798","title":"Self-healing capsules in early-age cementitious composites: A deterministic-probabilistic multi-scale approach","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Microbial Applications in Construction Materials","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ultimate tensile strength; Homogenization (climate); Creep; Capsule; Cementitious; Probability model; Probability distribution","score_opus":0.008810900042846903,"score_gpt":0.22756123514256843,"score_spread":0.21875033509972153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415320017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92212105,0.000027948305,0.07162622,0.000025079364,0.0002608762,0.0007059254,0.00004423415,0.00017222202,0.005016452],"genre_scores_gemma":[0.8260027,0.000009712069,0.17377916,0.000014030547,0.000014497274,0.000088264605,0.0000146441735,0.00001139914,0.0000655804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987394,0.000031533877,0.0004866192,0.00037402875,0.00009836124,0.00027005264],"domain_scores_gemma":[0.99954927,0.000070063,0.000051526287,0.0002866702,0.0000052367545,0.000037243797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030843195,0.00014504493,0.00018789827,0.00014705355,0.000049860933,0.000053786967,0.00023496342,0.00007824391,0.000018494233],"category_scores_gemma":[0.00007484185,0.00016589169,0.000024998031,0.0004589828,0.000058993974,0.00007677211,0.00015766181,0.00013699505,0.000036445872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003797594,0.00037402625,0.007026551,0.00041392274,0.000012596697,0.000021093709,0.0017771667,0.6873524,0.3011926,0.0006647823,0.00005864342,0.0010682271],"study_design_scores_gemma":[0.00398276,0.00003424984,0.062312413,0.00043180663,0.000034053253,0.000025623935,0.00018680996,0.90935785,0.018396785,0.00036374887,0.004054963,0.0008189184],"about_ca_topic_score_codex":0.000310761,"about_ca_topic_score_gemma":0.00017479982,"teacher_disagreement_score":0.28279582,"about_ca_system_score_codex":0.00038943937,"about_ca_system_score_gemma":0.000009957653,"threshold_uncertainty_score":0.6764867},"labels":[],"label_agreement":null},{"id":"W4415680734","doi":"10.1016/j.rineng.2025.107980","title":"Precision mapping of mangroves and shoreline dynamics in the Sundarbans using cloud based vegetation indices analysis and advanced geospatial techniques","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mangrove; Geospatial analysis; Shore; Raster data; Vegetation (pathology); Earth observation; Geographic information system; Raster graphics; Shuttle Radar Topography Mission","score_opus":0.0037171940576858175,"score_gpt":0.21765346859227092,"score_spread":0.2139362745345851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415680734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8901404,0.000057966114,0.10942035,0.00002858278,0.000026666368,0.00016165365,0.000011504273,0.000012035332,0.00014085602],"genre_scores_gemma":[0.9887242,0.000031683267,0.01120353,0.000005478389,0.0000049002288,0.000006050859,0.000017518296,0.000004270819,0.0000024209867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929166,0.000027083368,0.0002869227,0.00017118218,0.00011388014,0.00010928277],"domain_scores_gemma":[0.99965566,0.00014566361,0.00006229397,0.000119971795,0.0000040017712,0.000012430958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004867635,0.00008294958,0.0001504293,0.0002773677,0.000023733764,0.000019018658,0.000086402324,0.000047288544,7.720362e-7],"category_scores_gemma":[0.00009109083,0.00007055136,0.000019187191,0.0008026297,0.000023532553,0.00009320158,0.000080558115,0.00008678007,4.7308554e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043575335,0.000021346723,0.172971,0.0001386973,0.000014582903,0.0000029417097,0.0007872713,0.7977001,0.0036984282,0.000034210017,2.912268e-7,0.024587568],"study_design_scores_gemma":[0.00020362154,0.000011829579,0.17120545,0.0001796166,0.000016400196,4.584155e-7,0.00018995574,0.8277986,0.00029515207,0.000033584158,0.00000984287,0.00005549345],"about_ca_topic_score_codex":0.0008554949,"about_ca_topic_score_gemma":0.0144164525,"teacher_disagreement_score":0.098583765,"about_ca_system_score_codex":0.00016233597,"about_ca_system_score_gemma":0.000004199141,"threshold_uncertainty_score":0.8044719},"labels":[],"label_agreement":null},{"id":"W4415717733","doi":"10.1016/j.rineng.2025.107986","title":"Model-agnostic fluidic proprioception framework for state estimation and precise movement in soft musculoskeletal robots","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Soft Robotics and Applications","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 Prince Edward Island","funders":"National Health and Medical Research Council; NSW Ministry of Health; University of New South Wales; Cancer Institute NSW","keywords":"Actuator; Robot; Soft robotics; Wearable computer; Robotics; Position (finance); Control theory (sociology); Trajectory; Fluidics","score_opus":0.008561295941869506,"score_gpt":0.2565577027388732,"score_spread":0.2479964067970037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415717733","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13027012,0.00035444638,0.86853254,0.00007105882,0.000084516956,0.00051209977,0.000013157821,0.00012637142,0.000035711677],"genre_scores_gemma":[0.8945583,0.00017433263,0.104981676,0.0000068196714,0.000011541316,0.00020705802,0.0000239937,0.00002050858,0.000015777505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926996,0.000002954313,0.00027289498,0.00018265015,0.000068921625,0.00020259022],"domain_scores_gemma":[0.99962264,0.00016502429,0.000016185722,0.00014764436,0.000016302885,0.00003219599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014438502,0.00012423591,0.00012902668,0.00016248286,0.000023010212,0.000026667649,0.00006453433,0.00007671606,6.3185587e-7],"category_scores_gemma":[0.00021170289,0.00014665858,0.000022595817,0.0002169529,0.000007862873,0.00007704635,0.000022456055,0.00014431849,0.0000014870219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006972963,0.000017349503,0.000060826358,0.00025623088,0.0000069183216,3.8331555e-7,0.0002664956,0.9793717,0.0015505282,0.0011038932,0.000023863699,0.0173348],"study_design_scores_gemma":[0.0005054547,0.000010279451,0.003023166,0.00036164332,0.0000071141403,1.5310505e-7,0.000008754496,0.98677737,0.000471543,0.008684639,0.000019628658,0.00013026457],"about_ca_topic_score_codex":0.00000917787,"about_ca_topic_score_gemma":0.00002129146,"teacher_disagreement_score":0.7642882,"about_ca_system_score_codex":0.00011000081,"about_ca_system_score_gemma":0.000013048902,"threshold_uncertainty_score":0.5980564},"labels":[],"label_agreement":null},{"id":"W4415760450","doi":"10.1016/j.rineng.2025.108016","title":"Parametric evaluation of lateral load capacity in precast hybrid steel/GFRP-reinforced concrete columns with grouted corrugated duct connections","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Thailand Science Research and Innovation","keywords":"Precast concrete; Reinforcement; Parametric statistics; Brittleness; Pier; Finite element method; Fibre-reinforced plastic; Ductility (Earth science)","score_opus":0.021920348958543504,"score_gpt":0.2340899259196304,"score_spread":0.2121695769610869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415760450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99608,0.000101436584,0.0012081685,0.00000925063,0.00047398044,0.0008285371,0.0000727398,0.00028702297,0.0009388772],"genre_scores_gemma":[0.9988291,0.000019551644,0.00087266107,0.0000042043716,0.000018631095,0.00009444201,0.00006082248,0.00003567277,0.00006489695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979013,0.00004647129,0.0007681466,0.00029664973,0.0005497674,0.00043765863],"domain_scores_gemma":[0.9989686,0.00023516348,0.0000922885,0.00038466475,0.0002471889,0.00007209758],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00061532337,0.00030999875,0.00045657795,0.0008248822,0.000027116468,0.000044905,0.00024077238,0.00014193688,0.000014049453],"category_scores_gemma":[0.0005869891,0.00033248586,0.000061097184,0.0018330024,0.000048219223,0.00028140508,0.000040112354,0.000455347,0.0000027626063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119008735,4.7799045e-7,0.0009465575,0.000117899675,0.00005534655,0.000008044238,0.00026671696,0.9730509,0.024796594,0.00008861204,0.0000149082725,0.00053493393],"study_design_scores_gemma":[0.004371224,0.00006499527,0.020570729,0.00048227233,0.00006875543,0.000016745598,0.000047329995,0.88910407,0.084886804,0.0000040057203,0.000049983308,0.0003330822],"about_ca_topic_score_codex":0.00065615703,"about_ca_topic_score_gemma":0.000064378924,"teacher_disagreement_score":0.08394683,"about_ca_system_score_codex":0.0009352157,"about_ca_system_score_gemma":0.00011697198,"threshold_uncertainty_score":0.99991274},"labels":[],"label_agreement":null},{"id":"W4416024683","doi":"10.1016/j.rineng.2025.108130","title":"Evolution of unfrozen water in coarse-grained frozen soils during thermal thawing: Integrative observations and mechanistic modeling","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Climate change and permafrost","field":"Earth and Planetary 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":"Geomechanica (Canada)","funders":"Key Science and Technology Program of Shaanxi Province; Xijing University; State Key Laboratory of Geomechanics and Geotechnical Engineering","keywords":"Soil water; Bound water; Phase (matter); Phase transition; Thermal; Instability; Electrical resistivity and conductivity; Cutoff","score_opus":0.022926947837726534,"score_gpt":0.2169995520501726,"score_spread":0.19407260421244607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416024683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972795,0.0002681581,0.0011904475,0.00007905853,0.00012451338,0.00012425736,0.00031277805,0.000021153148,0.000600128],"genre_scores_gemma":[0.99936974,0.000052377625,0.00029431784,0.0000070454967,0.000023478906,0.000002658731,0.00021426642,0.0000033115473,0.00003278871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992121,0.000020912203,0.0002858994,0.00016879731,0.000094729214,0.0002175905],"domain_scores_gemma":[0.99972814,0.00010108819,0.000021042963,0.00009404827,0.000029118915,0.000026570844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002785448,0.00010815488,0.00016440211,0.0002568469,0.000036116293,0.000018439909,0.000081610015,0.000061749095,0.00002709577],"category_scores_gemma":[0.00011405872,0.0000848839,0.000020787715,0.00023430037,0.000013456522,0.00014508625,0.000020238507,0.00013624,0.0000014236333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008461528,0.00000907759,0.03183264,0.00011312085,0.000008550101,0.000007402508,0.003176635,0.9350049,0.029347997,0.00018757668,0.0000017592173,0.00022571064],"study_design_scores_gemma":[0.00052496564,0.000013667242,0.0898111,0.00031116116,0.000004854277,9.249849e-7,0.0007137892,0.90680647,0.0014585501,0.0002580257,0.000005737753,0.00009073274],"about_ca_topic_score_codex":0.0036256204,"about_ca_topic_score_gemma":0.0075870203,"teacher_disagreement_score":0.057978462,"about_ca_system_score_codex":0.000031212003,"about_ca_system_score_gemma":0.00002024354,"threshold_uncertainty_score":0.5480878},"labels":[],"label_agreement":null},{"id":"W4416024689","doi":"10.1016/j.rineng.2025.108136","title":"Mass transfer and hydrodynamic analysis in triphasic aerobic epoxidation of limonene over Ru/ activated carbon","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Euromed de Fès; Université Laval","keywords":"Mass transfer; Mass transfer coefficient; Catalysis; Activated carbon; Bubble; Particle (ecology); Turbulence; Oxygen","score_opus":0.0035660763433240706,"score_gpt":0.20747428701209994,"score_spread":0.20390821066877587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416024689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979368,0.00013697952,0.0014214856,0.000020926524,0.00011272973,0.00011975988,0.000019721389,0.000029624656,0.00020200892],"genre_scores_gemma":[0.9995955,0.000069507274,0.0002344917,0.000003201214,0.000008817455,0.000013422768,0.00002934854,0.000008676243,0.0000370163],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988635,0.000040627456,0.0005066881,0.0002770565,0.00012318797,0.0001888943],"domain_scores_gemma":[0.999624,0.000066324086,0.000047133894,0.00022190569,0.000015914511,0.000024700177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005064065,0.00012859683,0.00038455107,0.0006668338,0.000010795397,0.00002441212,0.00010467892,0.00008477561,0.00001571914],"category_scores_gemma":[0.00007105989,0.0001272426,0.000043373755,0.0012122863,0.000016748876,0.00009646569,0.000021601516,0.000067418565,4.2630717e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087781955,0.000021600443,0.00059053715,0.0000844361,0.000034031073,0.0000040346367,0.00014526195,0.10901906,0.889778,0.00005544237,2.909676e-7,0.00017948708],"study_design_scores_gemma":[0.0012228691,0.000017424494,0.030134179,0.00012369135,0.000110717876,3.5859617e-7,0.000027509454,0.110485815,0.8576942,0.000033866578,0.0000056820304,0.00014365639],"about_ca_topic_score_codex":0.0006842096,"about_ca_topic_score_gemma":0.00021950183,"teacher_disagreement_score":0.032083802,"about_ca_system_score_codex":0.00008140837,"about_ca_system_score_gemma":0.000017853237,"threshold_uncertainty_score":0.51888025},"labels":[],"label_agreement":null},{"id":"W4416024709","doi":"10.1016/j.rineng.2025.108107","title":"Machine learning-based dual-band circular MIMO antennas for high-performance 6 G IoT system","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"King Abdulaziz City for Science and Technology","keywords":"MIMO; Bandwidth (computing); Overhead (engineering); Terahertz radiation; Isolation (microbiology); Antenna (radio); Wireless; Return loss","score_opus":0.005726210483489072,"score_gpt":0.19057395243498673,"score_spread":0.18484774195149767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416024709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1837897,0.0025673863,0.8105488,0.00007967678,0.0006652767,0.0004152237,0.000060765935,0.0012109064,0.00066228776],"genre_scores_gemma":[0.9982892,0.0000796319,0.0011345978,0.000012533795,0.00007033036,0.000057803947,0.00005091734,0.00004970776,0.0002552551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874824,0.000014604709,0.0004444757,0.00026292462,0.00012759471,0.0004021489],"domain_scores_gemma":[0.99948245,0.00013572564,0.0000335294,0.0002503753,0.00004250193,0.000055426917],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034193127,0.0002488331,0.00035384428,0.00046749556,0.000059008642,0.00003732454,0.0001468016,0.00012098393,0.0000021115875],"category_scores_gemma":[0.000109839835,0.00025688464,0.00009195884,0.00061880314,0.000012914204,0.0000559781,0.000012945588,0.00027393835,0.000007316297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004048906,0.000011968654,0.00048231691,0.0014019691,0.000080519494,0.000017900322,0.00004051045,0.97495556,0.022385892,0.00016174556,0.000027649208,0.00039347305],"study_design_scores_gemma":[0.0014190929,0.000027910432,0.0009570757,0.0007321335,0.000038580703,0.000002288662,0.000030590363,0.9874618,0.008008036,0.0000021274773,0.0010636374,0.00025674124],"about_ca_topic_score_codex":0.00002951076,"about_ca_topic_score_gemma":0.000005381785,"teacher_disagreement_score":0.8144995,"about_ca_system_score_codex":0.00018389396,"about_ca_system_score_gemma":0.000019314444,"threshold_uncertainty_score":0.9999883},"labels":[],"label_agreement":null},{"id":"W4416405391","doi":"10.1016/j.rineng.2025.108244","title":"Assessment of the sensitivity of high-lift airfoil performance to flap gap and overlap","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Biomimetic flight and propulsion mechanisms","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":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Airfoil; Computational fluid dynamics; Reynolds-averaged Navier–Stokes equations; Turbulence; Lift (data mining); Parametric statistics; Wake; Angle of attack","score_opus":0.005750076301645272,"score_gpt":0.21507325989255513,"score_spread":0.20932318359090984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416405391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98544955,0.00007876642,0.012221063,0.000085629596,0.0005497925,0.00014995554,0.000018035971,0.000042023046,0.0014052002],"genre_scores_gemma":[0.99471897,0.000049619703,0.005133748,0.000009816362,0.0000138506,0.0000054664592,0.000001099012,0.000010104578,0.000057303037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993411,0.000017127091,0.00026705145,0.00011362417,0.000120528086,0.00014062345],"domain_scores_gemma":[0.99960464,0.000098105134,0.000022798684,0.00022624295,0.000021283733,0.00002689961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038063308,0.00010521952,0.00019386018,0.0001355203,0.000014043609,0.0000054414463,0.00008303318,0.000064120046,0.0000016095468],"category_scores_gemma":[0.000055471162,0.00008558088,0.000026764512,0.00034492972,0.000012183084,0.000035444606,0.000076183234,0.00013588218,4.58203e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024364284,0.00002124102,0.0019239979,0.0009840897,0.000035977308,0.0000020298914,0.00022633903,0.62137645,0.35902998,0.004216229,0.000091414455,0.012067883],"study_design_scores_gemma":[0.00054454396,0.000030476338,0.14099538,0.0006016518,0.000010663035,0.0000015031577,0.000021664771,0.45969382,0.39758626,0.00004515671,0.00033925896,0.00012961167],"about_ca_topic_score_codex":0.000034866112,"about_ca_topic_score_gemma":0.000012241962,"teacher_disagreement_score":0.16168262,"about_ca_system_score_codex":0.00003936827,"about_ca_system_score_gemma":0.000014072668,"threshold_uncertainty_score":0.3489887},"labels":[],"label_agreement":null},{"id":"W4416420473","doi":"10.1016/j.rineng.2025.108289","title":"Fused deposition modeling of functional nanohybrids: a transformative approach to sustainable water purification","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Membrane Separation Technologies","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":"Lockheed Martin (Canada)","funders":"","keywords":"Portable water purification; Deposition (geology); Degradation (telecommunications); Water treatment; Thermal stability; Wastewater; Transformative learning; Adsorption","score_opus":0.009264643779161889,"score_gpt":0.20332492099194335,"score_spread":0.19406027721278146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416420473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33550498,0.000009662077,0.6516709,0.00012976832,0.000029559096,0.00029734834,0.000002378899,0.00007938055,0.012276048],"genre_scores_gemma":[0.9939761,0.000004272162,0.0056734434,0.000011120927,0.0000035000644,0.000070839626,0.00002192612,0.000004693022,0.00023408231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999238,0.000010054574,0.00026631792,0.00016419278,0.00012751675,0.00019388211],"domain_scores_gemma":[0.9998012,0.000015048743,0.00001615312,0.00013831534,0.000012877192,0.000016413616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000269941,0.000074805896,0.00008936008,0.00017700123,0.000034677418,0.000011278853,0.00010244331,0.000049194707,0.000006825802],"category_scores_gemma":[0.00006108278,0.00006607301,0.00001969821,0.0003590008,0.000013501289,0.00021491655,0.000045207937,0.00007944974,0.000009887389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004110774,0.000027029746,0.000012279265,0.00005431734,0.0000032569376,3.0403527e-7,0.0007844844,0.91665477,0.08105303,0.00086809066,0.00002710715,0.00047421688],"study_design_scores_gemma":[0.00029791644,0.000011616317,0.0002766795,0.000024006267,0.0000024957856,6.3644194e-7,0.00050569716,0.7741988,0.22440694,0.00010777259,0.000100737234,0.00006674117],"about_ca_topic_score_codex":0.00006379349,"about_ca_topic_score_gemma":0.0000030010524,"teacher_disagreement_score":0.6584711,"about_ca_system_score_codex":0.00018679045,"about_ca_system_score_gemma":0.0000058396868,"threshold_uncertainty_score":0.2694379},"labels":[],"label_agreement":null},{"id":"W4416519894","doi":"10.1016/j.rineng.2025.108369","title":"Forecasting electric vehicle charging loads using random forest and gene expression programming ensemble models","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Electric Vehicles and Infrastructure","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 Windsor; Regional Municipality of Niagara","funders":"","keywords":"Gene expression programming; Random forest; Electric vehicle; Ensemble forecasting; Ensemble learning","score_opus":0.01025193551762015,"score_gpt":0.20428511836819707,"score_spread":0.1940331828505769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416519894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78014356,0.0027823516,0.21591763,0.000009941812,0.0001693915,0.0002777064,0.0000026340324,0.00027463087,0.0004221539],"genre_scores_gemma":[0.9825396,0.00016657422,0.017093165,0.0000088331135,0.0000957591,0.000023235047,0.0000063894454,0.000051070077,0.000015378675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848,0.000014479621,0.00044672427,0.0003045355,0.00014122708,0.00061303144],"domain_scores_gemma":[0.9995346,0.0001255968,0.000040974697,0.00019411057,0.000029498091,0.00007523214],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002769768,0.0002678105,0.00030746465,0.00044833412,0.000090836016,0.000082911814,0.00013398415,0.00015912422,6.40517e-7],"category_scores_gemma":[0.00008675129,0.00027790747,0.000049223512,0.00083573797,0.000008947069,0.0003028208,0.00006071544,0.00041037556,2.7260953e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035434412,0.000005252031,0.0003054426,0.00016252162,0.000015102296,0.000011903806,0.00017049123,0.79227185,0.18685985,0.000050882387,0.000010949963,0.020100335],"study_design_scores_gemma":[0.0016742499,0.00001521,0.00018768008,0.0004401436,0.000012537684,0.000020545845,0.000021924974,0.9266635,0.07042587,0.00018877856,0.000105296596,0.00024422826],"about_ca_topic_score_codex":0.000026528007,"about_ca_topic_score_gemma":0.000006706004,"teacher_disagreement_score":0.20239604,"about_ca_system_score_codex":0.00018154987,"about_ca_system_score_gemma":0.000022705985,"threshold_uncertainty_score":0.99996734},"labels":[],"label_agreement":null},{"id":"W4416713255","doi":"10.1016/j.rineng.2025.108450","title":"A large-scale rotor test platform for atmospheric icing simulation and passive ice protection evaluation","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Rimouski; Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Icing; Icing conditions; Cold climate; Wind power; Wind tunnel; Turbine; Test bench; Wind speed","score_opus":0.013308979499555838,"score_gpt":0.2550106857261294,"score_spread":0.24170170622657355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416713255","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2865893,0.00009939349,0.7109626,0.000043543147,0.00029427418,0.0010078852,0.000011915947,0.0006422977,0.00034878709],"genre_scores_gemma":[0.9924438,0.000014100715,0.007130646,0.0000043239697,0.000045162353,0.0002974099,0.000010195439,0.000022594548,0.00003175465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919474,0.000004524768,0.00026635994,0.0001899241,0.00010514107,0.00023933552],"domain_scores_gemma":[0.9994475,0.0002899098,0.00003104725,0.00015659959,0.000057548226,0.000017394954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032251724,0.00014237147,0.0001537226,0.00010169028,0.00006063033,0.00003340373,0.000058611644,0.00014380096,5.8795973e-7],"category_scores_gemma":[0.0011009518,0.0001524227,0.00002444819,0.00039372614,0.00000733297,0.00014491398,0.00002449547,0.00017301177,0.0000010130344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020171618,0.000008816789,0.00010270681,0.00019537995,0.000009778939,3.5898975e-7,0.00040434542,0.9452691,0.0016304734,0.000044945267,0.000015426724,0.052298468],"study_design_scores_gemma":[0.0011334992,0.00003972114,0.0019384497,0.00031566937,0.000016920569,8.539852e-7,0.00023594333,0.98393893,0.011515069,0.00017048352,0.00054781727,0.00014665985],"about_ca_topic_score_codex":0.0000139837675,"about_ca_topic_score_gemma":0.000034014312,"teacher_disagreement_score":0.70585454,"about_ca_system_score_codex":0.00023202982,"about_ca_system_score_gemma":0.00001336175,"threshold_uncertainty_score":0.6215617},"labels":[],"label_agreement":null},{"id":"W4416889982","doi":"10.1016/j.rineng.2025.108543","title":"Machine learning nested MCDM model to enhance decision reliability for transport safety engineering","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Risk and Safety Analysis","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":"York University; University of Toronto","funders":"","keywords":"Reliability (semiconductor); Multiple-criteria decision analysis; Stability (learning theory); Decision model; Support vector machine","score_opus":0.020159005614760164,"score_gpt":0.3339860335938881,"score_spread":0.313827027979128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416889982","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09391122,0.00019262766,0.9039392,0.0007443555,0.00027570158,0.0003555044,0.000060407245,0.00013086507,0.0003901137],"genre_scores_gemma":[0.9236783,0.00014393794,0.074863136,0.000037265083,0.00003523907,0.000044985933,0.000019738793,0.000022590635,0.0011548572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965083,0.00003790324,0.0014602137,0.0008515981,0.00066659594,0.00047538444],"domain_scores_gemma":[0.995937,0.002850663,0.00009660999,0.0007522618,0.00021711414,0.00014637456],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0046485094,0.00026868435,0.0005870322,0.0008887897,0.00009974376,0.000062194245,0.0006892952,0.00015443611,0.0000072565585],"category_scores_gemma":[0.012668725,0.00024030765,0.00024922937,0.0025377607,0.000012648266,0.00025007388,0.000093756884,0.00038696176,0.000013430579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041570558,0.000023865161,0.0008855358,0.000024040071,0.000011945577,0.0000030086164,0.0004101017,0.95894545,0.00090368814,0.00027066813,0.00003652173,0.038069468],"study_design_scores_gemma":[0.00056203036,0.000027641612,0.00627304,0.00017325238,0.000015458,5.541395e-7,0.000031882933,0.97634184,0.00089398434,0.00083718076,0.014606477,0.00023664987],"about_ca_topic_score_codex":0.00009530139,"about_ca_topic_score_gemma":0.00013170442,"teacher_disagreement_score":0.82976705,"about_ca_system_score_codex":0.00019265636,"about_ca_system_score_gemma":0.000065588676,"threshold_uncertainty_score":0.99564797},"labels":[],"label_agreement":null},{"id":"W4416890006","doi":"10.1016/j.rineng.2025.108544","title":"Optimization of PCM-enhanced residential building envelopes in cold climates: Energy performance and cost-effectiveness analysis","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Phase Change Materials Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; University of Alberta","keywords":"HVAC; Building envelope; Cooling load; Payback period; Sorting; Phase-change material; Energy (signal processing); Multi-objective optimization; Energy performance","score_opus":0.013517990308405024,"score_gpt":0.2746263298147187,"score_spread":0.2611083395063137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416890006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8315631,0.0003187608,0.1673496,0.000003882992,0.0001355824,0.0001954413,0.000020995769,0.00007294035,0.0003396641],"genre_scores_gemma":[0.9966718,0.0012002895,0.0019674054,0.0000012026212,0.000016283004,0.00009638968,0.000018830553,0.000018763112,0.000009025449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989623,0.000040297455,0.00039150665,0.00020593894,0.00012663504,0.00027332598],"domain_scores_gemma":[0.9995237,0.00021880635,0.000028163531,0.00016210126,0.000036105925,0.000031144646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005088371,0.00014203854,0.00033480057,0.0012355973,0.000016522998,0.00003217634,0.00011963883,0.00008909328,0.0000037361267],"category_scores_gemma":[0.00015951073,0.00016538402,0.000026900536,0.0016015967,0.000017314087,0.00017600658,0.00007185829,0.00010685403,1.8636253e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069078764,0.000009661829,0.00050146185,0.00050864986,0.000057688954,0.0000031829422,0.00010871131,0.820768,0.17730036,0.00007420927,0.0000015486218,0.000597422],"study_design_scores_gemma":[0.0006755473,0.0000079425945,0.0047224183,0.00039768155,0.0000137666875,1.9520473e-7,0.000012265042,0.63179463,0.3622562,0.0000021284827,0.00002517187,0.00009204886],"about_ca_topic_score_codex":0.00011716295,"about_ca_topic_score_gemma":0.00007730036,"teacher_disagreement_score":0.18897338,"about_ca_system_score_codex":0.00019890333,"about_ca_system_score_gemma":0.000015121966,"threshold_uncertainty_score":0.6744164},"labels":[],"label_agreement":null},{"id":"W4416958421","doi":"10.1016/j.rineng.2025.108567","title":"Modeling of the air gap membrane distillation (AGMD) process for whey treatment: A CFD approach with RSM","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","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 Toronto","funders":"","keywords":"Computational fluid dynamics; Mass transfer; Membrane distillation; Response surface methodology; Concentration polarization; Desalination; Heat transfer; Parametric statistics; Work (physics)","score_opus":0.016802223834097053,"score_gpt":0.24222541290341174,"score_spread":0.2254231890693147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416958421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8406588,0.00005145336,0.14711887,0.00021843145,0.00006538998,0.0012164959,0.000021428668,0.00015897704,0.010490173],"genre_scores_gemma":[0.99620265,0.00000909631,0.0034594666,0.000004532097,0.000005405169,0.00011482841,0.00000626751,0.000008314446,0.00018942099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932986,0.0000065863774,0.00020671009,0.00019978452,0.00011877021,0.00013829659],"domain_scores_gemma":[0.999674,0.00003377575,0.000042000094,0.00023087366,0.000007906002,0.000011396436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112003465,0.00010271107,0.00012358424,0.00005795675,0.00003688847,0.00000633898,0.00016262104,0.000054336586,0.0000015415171],"category_scores_gemma":[0.00011603479,0.000068208916,0.000026303118,0.0004008664,0.0000263213,0.000090561065,0.00003502828,0.000055684228,5.762192e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005343313,0.000026496722,0.00031428435,0.00008729646,0.000007112016,1.146965e-7,0.00034450387,0.99529904,0.0030009358,0.0002741249,0.000002441657,0.0005902298],"study_design_scores_gemma":[0.00071670907,0.000028344795,0.0006032402,0.00007655477,0.000008814353,6.746437e-7,0.000118012635,0.9644863,0.033723485,0.00009149513,0.00007361184,0.00007273164],"about_ca_topic_score_codex":0.000058240934,"about_ca_topic_score_gemma":0.000061227074,"teacher_disagreement_score":0.15554388,"about_ca_system_score_codex":0.00013588992,"about_ca_system_score_gemma":0.00001253543,"threshold_uncertainty_score":0.27814788},"labels":[],"label_agreement":null},{"id":"W4416971836","doi":"10.1016/j.rineng.2025.108561","title":"Behavior of eccentrically loaded RC columns strengthened with FRCM wraps","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"United Arab Emirates University","keywords":"Compression (physics); Deformation (meteorology); Work (physics); Welding","score_opus":0.005002157355095909,"score_gpt":0.20515757992552983,"score_spread":0.20015542257043392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416971836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99126667,0.00022700855,0.0051593026,0.00001516702,0.00035435738,0.00036024267,0.00004815419,0.00039329517,0.0021757819],"genre_scores_gemma":[0.9937773,0.00003176154,0.0059638745,0.000004372183,0.000021215877,0.000042056337,0.00001741307,0.000034170473,0.000107851694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874324,0.000006980893,0.00048205798,0.0002039669,0.00019846694,0.00036528026],"domain_scores_gemma":[0.99938,0.000109189285,0.000040460207,0.00035446,0.00004599752,0.000069870985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007310975,0.00023383123,0.00032014807,0.00034969856,0.000015770363,0.000021661319,0.00026510048,0.00013117252,0.000011600617],"category_scores_gemma":[0.00007650614,0.00023042347,0.00005890086,0.0007003074,0.00002672639,0.000106870786,0.000039983435,0.00028746141,0.0000024467906],"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":[0.00013450286,0.0000055043365,0.001917507,0.00027313078,0.00008463115,0.00006767262,0.0002729744,0.88819015,0.09209162,0.000610621,0.00008518838,0.016266504],"study_design_scores_gemma":[0.008645374,0.00023861679,0.07260415,0.0014316093,0.00023384328,0.000032073818,0.00020904551,0.17652434,0.73513645,0.000012416166,0.00356439,0.0013677105],"about_ca_topic_score_codex":0.000041602787,"about_ca_topic_score_gemma":0.000006187535,"teacher_disagreement_score":0.7116658,"about_ca_system_score_codex":0.00015290467,"about_ca_system_score_gemma":0.000038456554,"threshold_uncertainty_score":0.9396396},"labels":[],"label_agreement":null},{"id":"W4417048498","doi":"10.1016/j.rineng.2025.108535","title":"A security-centric SCADA framework for wind energy systems using enhanced network segmentation and rogue traffic visualization","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"SCADA; Intrusion detection system; Supervisory control; Wind power; Visualization; Critical infrastructure; Situation awareness; Network security; Honeypot","score_opus":0.005847212499565516,"score_gpt":0.23764582444978424,"score_spread":0.23179861195021872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417048498","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3046132,0.003405515,0.6899117,0.0000060741904,0.001515981,0.0002940307,0.000011858141,0.00018476965,0.000056861736],"genre_scores_gemma":[0.99628586,0.00048440238,0.0028412603,0.000009914148,0.00028266234,0.000031284766,0.000029606414,0.000026867116,0.0000081173475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989304,0.00002042632,0.00036989758,0.00023330095,0.00010970571,0.00033629098],"domain_scores_gemma":[0.999504,0.00025690402,0.00003695487,0.0001255647,0.0000279242,0.000048624843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019731067,0.00017476108,0.00021298416,0.00023131522,0.00006812784,0.000069440015,0.00008554135,0.00017688054,5.3488554e-7],"category_scores_gemma":[0.00010906615,0.00019919882,0.000030782456,0.0007558304,0.000012805434,0.00014395922,0.00002114604,0.0001383741,2.804023e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025076297,0.000011099958,0.000030211853,0.0004278368,0.000023486835,0.0000016697157,0.00045582475,0.9945075,0.0010338405,0.0028284348,0.000046720972,0.0006083354],"study_design_scores_gemma":[0.0006439825,0.000014308634,0.00012505715,0.0008894216,0.000015203357,0.0000025349082,0.00013184869,0.9948149,0.0024979718,0.00012218305,0.0005507004,0.00019191383],"about_ca_topic_score_codex":0.000016394302,"about_ca_topic_score_gemma":0.000015323893,"teacher_disagreement_score":0.6916727,"about_ca_system_score_codex":0.00015243927,"about_ca_system_score_gemma":0.000018159702,"threshold_uncertainty_score":0.81230927},"labels":[],"label_agreement":null},{"id":"W4417079480","doi":"10.1016/j.rineng.2025.108623","title":"Superhydrophobic bulk ternary and quaternary silicone rubber nanocomposites: An Insight into material selection and performance evaluation","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Chicoutimi","funders":"Mitacs; Université du Québec à Chicoutimi","keywords":"Silicone rubber; Contact angle; Durability; Surface roughness; Nanocomposite; Dielectric; Silicone; Ternary operation; Dielectric loss","score_opus":0.010688442379032189,"score_gpt":0.24562471738215214,"score_spread":0.23493627500311995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417079480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985219,0.00024490498,0.00020154007,0.00006537192,0.00042852483,0.00028412923,0.000006999705,0.0000976195,0.00014898839],"genre_scores_gemma":[0.99851394,0.00012543198,0.0011555502,0.00002780088,0.000049583643,0.000042646672,0.000022793869,0.000013994842,0.000048248723],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878925,0.00008063304,0.00034332855,0.00040186092,0.00018407783,0.00020086039],"domain_scores_gemma":[0.99961495,0.000048086687,0.00003550395,0.00018929981,0.000050995677,0.00006115483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063128135,0.00016643718,0.00017984267,0.00022541959,0.00010115126,0.00011501647,0.000105459396,0.00009737531,0.00002758723],"category_scores_gemma":[0.000052672975,0.00016507991,0.000012513759,0.00021735877,0.00003610293,0.0004520325,0.000067831104,0.00010695201,0.0000070025294],"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":[0.00017660597,0.000035819317,0.0058016735,0.00007600225,0.0000039727383,0.0000018293975,0.0014498744,0.023036709,0.96724796,0.0000178185,0.000002922217,0.0021488008],"study_design_scores_gemma":[0.0007844501,0.00008075023,0.035002615,0.0000991953,0.000008150098,0.000010531255,0.000030103161,0.5857979,0.3778893,0.000010855788,0.00013488934,0.00015123445],"about_ca_topic_score_codex":0.00041376785,"about_ca_topic_score_gemma":0.00004233425,"teacher_disagreement_score":0.5893587,"about_ca_system_score_codex":0.00012777712,"about_ca_system_score_gemma":0.000035817284,"threshold_uncertainty_score":0.67317635},"labels":[],"label_agreement":null},{"id":"W4417299072","doi":"10.1016/j.rineng.2025.108730","title":"Enhanced grid-current feedback active damping for LCL grid connected inverter using discretized band-pass filter with full delay compensation","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Microgrid Control 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":"Control theory (sociology); Discretization; Compensation (psychology); Filter (signal processing); Nyquist frequency; Noise (video); Nyquist stability criterion; Block (permutation group theory); Nyquist–Shannon sampling theorem","score_opus":0.008524880689900148,"score_gpt":0.2222180756761302,"score_spread":0.21369319498623005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417299072","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14824747,0.00036219036,0.84860027,0.00004859606,0.0012545391,0.00079268386,0.00014841586,0.0002938796,0.00025194752],"genre_scores_gemma":[0.9909523,0.00009827513,0.008223725,0.000018110244,0.00022653438,0.000109851826,0.00030751253,0.00005139884,0.000012267565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874294,0.00001992539,0.00043272378,0.0003056432,0.0001158656,0.0003828968],"domain_scores_gemma":[0.9993928,0.00019905852,0.00006184966,0.00020206124,0.00009163359,0.00005258802],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013673487,0.0002790352,0.0003304082,0.00027435663,0.00005636287,0.00006635845,0.0001253893,0.000101369114,0.000005598351],"category_scores_gemma":[0.00009492333,0.0002679724,0.000059369402,0.00040710083,0.000015211402,0.00024255992,0.000024274528,0.00022798072,0.0000015526072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044897632,0.000015612139,0.000009847246,0.00023736339,0.000079274105,0.0000013457893,0.00041697637,0.9183559,0.07593431,0.000044155255,0.00007194568,0.004384323],"study_design_scores_gemma":[0.0043305485,0.000031564352,0.0004979816,0.00069054775,0.00003871655,0.0000022053737,0.000054648805,0.9608998,0.03212199,0.000008348455,0.001001741,0.00032194567],"about_ca_topic_score_codex":0.000012083212,"about_ca_topic_score_gemma":0.000048249312,"teacher_disagreement_score":0.8427049,"about_ca_system_score_codex":0.00030464318,"about_ca_system_score_gemma":0.00003668696,"threshold_uncertainty_score":0.99997723},"labels":[],"label_agreement":null},{"id":"W4417351315","doi":"10.1016/j.rineng.2025.108707","title":"Structural destabilization and optoelectronic degradation of crystalline Ge₂Sb₂Te₅ phase-change memory in low-earth orbit: A multiscale simulation study","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Phase-change materials and chalcogenides","field":"Materials 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":"Ministry of Education and Child Care","funders":"King Khalid University","keywords":"Degradation (telecommunications); Reflectivity; Work (physics); Layer (electronics); Transient (computer programming)","score_opus":0.025375159881666016,"score_gpt":0.29759447407418793,"score_spread":0.27221931419252193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417351315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99623895,0.00028280437,0.0026102709,0.000013265443,0.00014123239,0.00062081974,0.000038754733,0.000042801894,0.000011092055],"genre_scores_gemma":[0.99932396,0.00002506003,0.0005083238,0.000004361692,0.000036175417,0.00004312571,0.000034491026,0.0000122215315,0.000012277224],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988516,0.000058253445,0.00047295107,0.00026625823,0.00013228493,0.00021864203],"domain_scores_gemma":[0.999568,0.000121933364,0.00008875721,0.0001523759,0.000042578635,0.00002639578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004481067,0.00013949309,0.0002340042,0.00027134476,0.000026669435,0.00003316265,0.00008365294,0.00006138381,0.00001181286],"category_scores_gemma":[0.00019649578,0.000138606,0.000015896223,0.0003237977,0.000018995986,0.0002616919,0.00005094576,0.00006711715,4.426982e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019016226,0.00013331854,0.00049760955,0.00017628435,0.000003457969,0.000004148,0.0014071946,0.3360356,0.6599641,0.000025773383,2.0197137e-7,0.0015621538],"study_design_scores_gemma":[0.0042194882,0.00016635106,0.0121115185,0.00028993346,0.000012277582,0.0000011624653,0.000297294,0.7696816,0.21301806,0.000037158476,0.0000035475152,0.000161629],"about_ca_topic_score_codex":0.0001799028,"about_ca_topic_score_gemma":0.0005640176,"teacher_disagreement_score":0.44694605,"about_ca_system_score_codex":0.000075023134,"about_ca_system_score_gemma":0.000020758103,"threshold_uncertainty_score":0.56521887},"labels":[],"label_agreement":null},{"id":"W4417443611","doi":"10.1016/j.rineng.2025.108804","title":"Methods for predicting the occurrence and post-failure characteristics of retrogressive failures in sensitive clays: Evaluation of their applicability in Eastern Canada","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Rocscience (Canada); York University; Institut National de la Recherche Scientifique; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Hydro-Québec","keywords":"Norwegian; Context (archaeology); Landslide; Hazard; Hazard analysis; Identification (biology); Debris","score_opus":0.008243313043176027,"score_gpt":0.26860075761173796,"score_spread":0.2603574445685619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417443611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978803,0.000084035804,0.0012168167,0.00017042484,0.00005712753,0.00041490555,0.00011711626,0.0000029363828,0.000056359488],"genre_scores_gemma":[0.99836123,0.000012770097,0.0015770696,0.0000054171896,0.000005239544,0.000024243334,0.00000998395,0.0000026206417,0.0000014115652],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919033,0.00008599909,0.00032306553,0.00015991867,0.000119020035,0.000121686266],"domain_scores_gemma":[0.99925363,0.00049095077,0.00009049103,0.00012193052,0.000029038587,0.000013970234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015402605,0.00007505886,0.00015811139,0.00003727478,0.00001296597,0.0000041853427,0.00008100542,0.00005870058,0.0000012231136],"category_scores_gemma":[0.00076638954,0.000052164287,0.000014768491,0.0002442898,0.000041310428,0.00003664217,0.00007175344,0.00015145431,1.8208047e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036349782,0.00006848909,0.41394508,0.00040063332,0.000043418167,0.0000035286837,0.0075795627,0.31911126,0.019818662,0.000046541965,0.000021935228,0.2385974],"study_design_scores_gemma":[0.00052711763,0.000015865398,0.47959292,0.00024457416,0.000009760494,7.6453557e-7,0.0006562505,0.51613617,0.0026776781,0.000033249013,0.000054596418,0.000051013754],"about_ca_topic_score_codex":0.01910828,"about_ca_topic_score_gemma":0.045577586,"teacher_disagreement_score":0.23854639,"about_ca_system_score_codex":0.00017493522,"about_ca_system_score_gemma":0.000053386404,"threshold_uncertainty_score":0.98742354},"labels":[],"label_agreement":null},{"id":"W6921732988","doi":"10.1016/j.rineng.2025.106109","title":"Hydrated magnesium carbonates derived from brucite: Structural and vibrational analysis via synchrotron XRD and Raman spectroscopy","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"German History and Society","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Government of Saskatchewan; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Kvantum-instituutti, Oulun Yliopisto; Oulun Yliopisto; Academy of Finland; Canada Foundation for Innovation; University of Saskatchewan","keywords":"Carbonation; Magnesium; Raman spectroscopy; Crystallization; Brucite; Synchrotron; Phase (matter); Spectroscopy; Aqueous solution; Magnesite","score_opus":0.004508528379661207,"score_gpt":0.18859564377392868,"score_spread":0.18408711539426748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921732988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972254,0.00071920815,0.0006419928,0.00009454093,0.00018989015,0.00007576999,0.000057253124,0.000054311073,0.00094162306],"genre_scores_gemma":[0.99884087,0.000015918391,0.0007223624,0.000030461388,0.00009481323,0.0000056873578,0.00009431206,0.0000070375268,0.00018851172],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993555,0.000016856005,0.00019886592,0.0002147399,0.00007201507,0.00014203634],"domain_scores_gemma":[0.9997427,0.00007429772,0.000031338794,0.00009759559,0.000021774276,0.00003230612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006288481,0.0001261167,0.00018707218,0.00015647362,0.00011729265,0.000095243566,0.000052143467,0.000048294914,0.000052343956],"category_scores_gemma":[0.000018681407,0.00012556961,0.00003781738,0.00010428268,0.00006801023,0.00012910574,0.000028483855,0.00012760147,6.1481126e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007208909,0.00011849814,0.031699277,0.00090520096,0.0026406068,0.00009797265,0.2261849,0.1376105,0.527174,0.0704877,0.0005427929,0.0018176397],"study_design_scores_gemma":[0.0023156295,0.000059081507,0.2708812,0.00008790146,0.0004296163,0.0000014937643,0.0015013132,0.71237135,0.008583923,0.0013056066,0.0018005249,0.00066236814],"about_ca_topic_score_codex":0.0004668762,"about_ca_topic_score_gemma":0.00071255513,"teacher_disagreement_score":0.57476085,"about_ca_system_score_codex":0.0000554155,"about_ca_system_score_gemma":0.000011703912,"threshold_uncertainty_score":0.512058},"labels":[],"label_agreement":null},{"id":"W7077041540","doi":"10.1016/j.rineng.2025.106752","title":"Use of a combined method of photo-electrocoagulation-oxidation for simultaneous removal of Ni, CN, Zn, and Cu from synthesized mine wastewater","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","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 British Columbia","funders":"Iran National Science Foundation","keywords":"Wastewater; Hydrogen peroxide; Pollutant; Ozone; Oxidizing agent; Electrocoagulation; Radical; Anode","score_opus":0.013357630262023525,"score_gpt":0.23736653598770005,"score_spread":0.22400890572567653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7077041540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57135683,0.00004613518,0.428138,0.00012880212,0.00004605204,0.00018360253,0.000012702471,0.00001899707,0.00006888776],"genre_scores_gemma":[0.75281364,0.0000048155052,0.24704148,0.0000033386975,0.000004278822,0.0000061525884,0.000009811049,0.000001601249,0.00011486551],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919194,0.000024123348,0.00039919684,0.00019213292,0.00007778472,0.000114841816],"domain_scores_gemma":[0.9980308,0.0014909747,0.00012331991,0.00023639521,0.00010338886,0.000015155701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002761188,0.000086375105,0.00024624594,0.00010780613,0.000010031039,0.0000085417205,0.00015466215,0.00006507925,9.527873e-7],"category_scores_gemma":[0.0016295651,0.00008427493,0.000030879866,0.00023405316,0.000012830924,0.00008234876,0.00006472379,0.000048413767,2.9981447e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015917911,0.000025736364,0.00005347805,0.00020160638,0.000026180083,0.0000029173282,0.0002975385,0.18200894,0.81364864,0.0004557707,0.0000067102937,0.0031133397],"study_design_scores_gemma":[0.0005142789,0.000022060349,0.000235311,0.00013311696,0.000005644915,0.0000017701042,0.000006806486,0.5308605,0.46770644,0.00030858922,0.00016401111,0.000041503896],"about_ca_topic_score_codex":0.00011878126,"about_ca_topic_score_gemma":0.0000053475314,"teacher_disagreement_score":0.34885153,"about_ca_system_score_codex":0.000012711893,"about_ca_system_score_gemma":0.000017790962,"threshold_uncertainty_score":0.3436632},"labels":[],"label_agreement":null},{"id":"W7083197393","doi":"10.1016/j.rineng.2025.107431","title":"Structure and properties of formaldehyde-free faba bean starch composite foams influenced by additives and lignin-glyoxal co-polycondensation","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Composite number; Crystallinity; Starch; Thermal stability; Lamellar structure; Polymer; Impact resistance; Izod impact strength test","score_opus":0.004284963903368797,"score_gpt":0.20082761084175035,"score_spread":0.19654264693838155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083197393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996984,0.0012209961,0.0006974891,0.000016349073,0.00008478664,0.00017165089,0.00037077974,0.00009846793,0.0003554845],"genre_scores_gemma":[0.9993403,0.000104147366,0.00044868604,0.0000042677857,0.000015586831,0.000007201852,0.000047737456,0.000019250048,0.00001279754],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992643,0.000010213094,0.00028148358,0.00014877133,0.00009777371,0.00019748688],"domain_scores_gemma":[0.9996933,0.000059288315,0.000025733127,0.00016170637,0.000019285304,0.000040730924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007682681,0.00016183373,0.0002036888,0.00017455604,0.00002377343,0.000027556873,0.0001093475,0.00008964769,7.895406e-7],"category_scores_gemma":[0.000053853008,0.0001609785,0.000016173095,0.00014452686,0.000048753696,0.0002221026,0.000054886208,0.00017426227,9.561435e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009765661,0.000008233718,0.00068988424,0.00049200346,0.000061531435,0.00000226982,0.001326515,0.039261635,0.9560241,0.00029040864,0.000039889666,0.0017058892],"study_design_scores_gemma":[0.001883983,0.000059551192,0.0064488826,0.0005723063,0.000015131679,0.0000054702496,0.00014138375,0.47980464,0.5105424,0.00015388182,0.000118318894,0.00025405397],"about_ca_topic_score_codex":0.000016951926,"about_ca_topic_score_gemma":0.000012384144,"teacher_disagreement_score":0.4454817,"about_ca_system_score_codex":0.000043365806,"about_ca_system_score_gemma":0.000011087528,"threshold_uncertainty_score":0.6564513},"labels":[],"label_agreement":null},{"id":"W7084093514","doi":"10.1016/j.rineng.2025.107497","title":"Energy evolution and damage constitutive model of rock-like joint surfaces under wet-dry cycles","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Microbial metabolism and enzyme function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province; Ministry of Natural Resources","keywords":"Joint (building); Constitutive equation; Brittleness; Parametric statistics; Shear (geology); Surface finish; Damage mechanics; Direct shear test","score_opus":0.007462893346759758,"score_gpt":0.20164718077937555,"score_spread":0.1941842874326158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084093514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71561337,0.001676714,0.28173468,0.000026689457,0.00023023534,0.000048518672,0.000059874346,0.000011282664,0.00059864356],"genre_scores_gemma":[0.9984463,0.0003840457,0.0008765496,0.000024005278,0.000026496306,0.0000031755444,0.00003063693,0.000005460779,0.00020332086],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995105,0.000011380595,0.00016850777,0.00016797983,0.0000355873,0.000106043415],"domain_scores_gemma":[0.99979985,0.000007690175,0.000029810306,0.00011777464,0.000025831405,0.000019057157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008650668,0.00008372473,0.000108107735,0.000082002465,0.000017505605,0.0000044778326,0.000040646595,0.000090926245,4.3455398e-7],"category_scores_gemma":[0.000044653065,0.000086374006,0.00002199634,0.00008039923,0.00002281877,0.0000052717483,0.000058219237,0.00004647385,1.8361312e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044170145,0.000008652151,0.00004929262,0.000020280391,0.0000109711755,1.5860059e-7,0.000013169229,0.47605893,0.52194285,0.0016192734,0.00011654444,0.00011571368],"study_design_scores_gemma":[0.0014997431,0.000046440255,0.005918456,0.00015145415,0.000024318972,0.0000014385148,0.00010918615,0.4792767,0.5100994,0.00022035716,0.0024240639,0.00022842859],"about_ca_topic_score_codex":0.000082380444,"about_ca_topic_score_gemma":0.000044409615,"teacher_disagreement_score":0.28283295,"about_ca_system_score_codex":0.000014993529,"about_ca_system_score_gemma":0.000037267546,"threshold_uncertainty_score":0.35222295},"labels":[],"label_agreement":null},{"id":"W7101394155","doi":"10.1016/j.rineng.2025.107946","title":"Bicontinuous-distributed nanofibers and nanosheets facilitate anisotropic nanocomposite dielectrics to high energy density capacitors","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Key Research and Development Program of Ningxia; Natural Science Foundation of Ningxia Province; Ningxia University","keywords":"Nanocomposite; Dielectric; Nanofiber; Composite number; High-κ dielectric; Capacitor; Energy storage; Anisotropy","score_opus":0.0034012487476124927,"score_gpt":0.17061793496333538,"score_spread":0.1672166862157229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101394155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9576942,0.0004130936,0.03940648,0.00007616501,0.001108111,0.00018901662,0.00009539672,0.00044594365,0.000571603],"genre_scores_gemma":[0.99825895,0.00019693957,0.0012614123,0.000034264434,0.000047418147,0.000025684658,0.000031759148,0.000028919996,0.00011463442],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985813,0.000018581617,0.00042701958,0.0003248746,0.00012785273,0.00052037474],"domain_scores_gemma":[0.9994859,0.000102504746,0.000024549803,0.00023107762,0.000033461045,0.0001225005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013229279,0.00028955765,0.00036277992,0.0004336309,0.000050082417,0.00007867685,0.00015697189,0.00013860303,0.00000244514],"category_scores_gemma":[0.00008642516,0.00031186207,0.000040018083,0.00085057324,0.000013691575,0.00009766396,0.00006095559,0.00013332201,0.0000035145883],"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":[0.00023038757,0.00008234687,0.0005982921,0.00074922084,0.00027598834,0.00014390225,0.0009948639,0.24179862,0.70163834,0.008700545,0.0051328423,0.03965463],"study_design_scores_gemma":[0.0033011266,0.00021301006,0.016812515,0.0006594433,0.00006109702,0.000017501821,0.00006412659,0.08980524,0.8324959,0.00049655506,0.05444674,0.0016267232],"about_ca_topic_score_codex":0.00031529064,"about_ca_topic_score_gemma":0.000057183053,"teacher_disagreement_score":0.1519934,"about_ca_system_score_codex":0.00019718861,"about_ca_system_score_gemma":0.000016975971,"threshold_uncertainty_score":0.99993336},"labels":[],"label_agreement":null},{"id":"W7101439472","doi":"10.1016/j.rineng.2025.107934","title":"Experimental study on porosity-permeability regulation and strength enhancement of 3D-printed rock analogs: New insights from post-processing explorations","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Machine Learning and Algorithms","field":"Computer 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":"University of Alberta","funders":"International Science and Technology Cooperation Programme; Southwest University of Science and Technology; Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Porosity; Permeability (electromagnetism); Compressive strength; Adhesive; Scanning electron microscope; Epoxy; Residual strength; Parametric statistics","score_opus":0.011170147939576061,"score_gpt":0.2623126223644146,"score_spread":0.25114247442483856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101439472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7502962,0.00011938897,0.24910142,0.000085339394,0.000106396794,0.0001321367,0.0000019994923,0.0000573283,0.0000997963],"genre_scores_gemma":[0.9891407,0.0000019593404,0.01076132,0.000011836212,0.000023547847,0.000008363135,0.000011726925,0.000004170251,0.000036361693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902594,0.00004293205,0.00031606233,0.00034181663,0.00015776703,0.00011546031],"domain_scores_gemma":[0.9994748,0.000092927134,0.000064547276,0.00028961818,0.000037877027,0.00004022718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011985409,0.00011717461,0.0001545101,0.00019153417,0.00005415529,0.00005489757,0.00018109346,0.000032922042,0.0000013836681],"category_scores_gemma":[0.0001359771,0.00011431279,0.000015612288,0.00035168687,0.000005992953,0.00021705455,0.00012268544,0.0001408485,6.9100815e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018733791,0.0025030638,0.0035033708,0.00010470599,0.0000924978,0.000012696661,0.058123562,0.61530745,0.22117667,0.0021978153,0.000028034445,0.09676279],"study_design_scores_gemma":[0.0011718489,0.00024975662,0.07360492,0.0002191332,0.000004541593,1.9584827e-7,0.0007571463,0.85469985,0.069065005,0.000076462886,0.000019610532,0.00013153418],"about_ca_topic_score_codex":0.00024559023,"about_ca_topic_score_gemma":0.000022535565,"teacher_disagreement_score":0.2393924,"about_ca_system_score_codex":0.00007381112,"about_ca_system_score_gemma":0.00004199373,"threshold_uncertainty_score":0.466154},"labels":[],"label_agreement":null}]}