{"meta":{"query_hash":"e9cf8e465f94","filters":{"venue":"Emission Control Science and Technology"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/e9cf8e465f94","api":"https://metacan.xera.ac/api/v1/cohort?venue=Emission+Control+Science+and+Technology"},"results":[{"id":"W2257262453","doi":"10.1007/s40825-016-0033-3","title":"Characterization of Real-Time Particle Emissions from a Gasoline Direct Injection Vehicle Equipped with a Catalyzed Gasoline Particulate Filter During Filter Regeneration","year":2016,"lang":"en","type":"article","venue":"Emission Control Science and Technology","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Environment and Climate Change Canada","funders":"Government of Canada; Transport Canada","keywords":"Gasoline; Diesel particulate filter; Particulates; Filtration (mathematics); Ultrafine particle; Materials science; Soot; Diesel fuel; Particle (ecology); Gasoline direct injection; Filter (signal processing); Nanoparticle; Particle size; Diesel exhaust; Chemical engineering; Environmental science; Chemistry; Nanotechnology; Organic chemistry","score_opus":0.005109343059816162,"score_gpt":0.20008263238521704,"score_spread":0.19497328932540087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257262453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756527,0.00005670473,0.0019487478,0.000011443636,0.000009301765,0.000008075196,0.00010457353,0.00008664145,0.00020916852],"genre_scores_gemma":[0.99823004,0.000036173253,0.00077930954,0.000008641352,0.0000023945763,0.000007521296,0.00016780537,0.000015146866,0.00075298443],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997936,0.000015131086,0.000008266211,0.00005634247,0.00008646873,0.00004018777],"domain_scores_gemma":[0.9997836,0.00007974731,0.000028629744,0.00001672403,0.00007758835,0.000013784626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021327457,0.0003999063,0.00045761702,0.00040864552,0.00043279235,0.00036756205,0.0004041695,0.0005699095,0.00074688974],"category_scores_gemma":[0.00025697704,0.00016888384,0.00039811232,0.00021155048,0.0002993094,0.0003295939,0.00019401993,0.00031489908,0.00021486808],"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":[0.0016971302,0.00013922148,0.011159657,0.000085735795,0.00003909915,0.00034146252,0.00019897778,0.00138115,0.97579837,0.00005028634,0.00012289357,0.008985943],"study_design_scores_gemma":[0.000015352534,0.000709915,0.04403426,0.0000048413535,0.00005407598,0.00016741376,0.00021284241,0.011199723,0.9428466,0.000032057877,0.00069525215,0.000027633876],"about_ca_topic_score_codex":0.004015641,"about_ca_topic_score_gemma":0.0045812754,"teacher_disagreement_score":0.004015641,"about_ca_system_score_codex":0.0002977787,"about_ca_system_score_gemma":0.00024717726,"threshold_uncertainty_score":0.007984579},"labels":[],"label_agreement":null},{"id":"W2523465950","doi":"10.1007/s40825-016-0045-z","title":"HC-Induced Deactivation in CO Conversion at Diesel Oxidation Catalysts","year":2016,"lang":"en","type":"article","venue":"Emission Control Science and Technology","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Bundesministerium für Bildung und Forschung","keywords":"Catalysis; Diesel fuel; Ignition system; Hydrocarbon; Extinction (optical mineralogy); Oxygen; Chemistry; Platinum; Catalytic cycle; Chemical engineering; Inorganic chemistry; Thermodynamics; Organic chemistry; Mineralogy","score_opus":0.008242442897988998,"score_gpt":0.2564486027479161,"score_spread":0.24820615984992708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523465950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99563485,0.00052662694,0.00073605933,0.00007197714,0.000025347736,0.000009376516,0.000044243843,0.00001784814,0.0029336833],"genre_scores_gemma":[0.9986308,0.00008906086,0.000051315565,0.000008552283,0.0000026174016,0.0000018720128,0.00003875811,0.000003945553,0.0011729571],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986327,0.0000128470865,0.0000040966397,0.000022728602,0.000040105915,0.000057044745],"domain_scores_gemma":[0.99991393,0.000032122516,0.0000075938556,0.000011330167,0.000025740987,0.0000092012715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016443017,0.00015853567,0.00022860996,0.00019966229,0.00032885378,0.00039770565,0.00037464878,0.00031001144,0.0022339735],"category_scores_gemma":[0.00023265135,0.00012149623,0.00013882582,0.00013086635,0.00043780933,0.00025307914,0.00020816435,0.00038656962,0.0003111262],"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":[0.0010373634,0.000114202456,0.0013028216,0.0001619285,0.000031155716,0.0003022691,0.00018359162,0.0018713508,0.9837774,0.0019296199,0.00035144293,0.008936779],"study_design_scores_gemma":[0.000010192228,0.000057077363,0.002637565,0.0000033944962,0.0000057527523,0.00005140587,0.00007256742,0.0029990657,0.99328023,0.000110050874,0.00076711486,0.0000054846464],"about_ca_topic_score_codex":0.0051990906,"about_ca_topic_score_gemma":0.0071304063,"teacher_disagreement_score":0.0051990906,"about_ca_system_score_codex":0.0009697104,"about_ca_system_score_gemma":0.00032423457,"threshold_uncertainty_score":0.01033771},"labels":[],"label_agreement":null},{"id":"W2726054576","doi":"10.1007/s40825-017-0070-6","title":"Turbulence Decay Inside the Channels of an Automotive Catalytic Converter Monolith","year":2017,"lang":"en","type":"article","venue":"Emission Control Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reynolds-averaged Navier–Stokes equations; Turbulence; Mechanics; Turbulence kinetic energy; Computational fluid dynamics; Laminar flow; Monolith; Reynolds number; Physics; Chemistry","score_opus":0.006051659907982533,"score_gpt":0.22149925225678943,"score_spread":0.2154475923488069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2726054576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924843,0.000085090156,0.0037089463,0.0001231095,0.000040174356,0.000008763549,0.000053224605,0.00016488395,0.003331605],"genre_scores_gemma":[0.99800473,0.000021028702,0.0004816696,0.000013261979,0.0000079212205,0.0000027520252,0.000025286985,0.0000111807085,0.0014321422],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998271,0.000013643036,0.0000038683547,0.000057592137,0.000051713912,0.000046196685],"domain_scores_gemma":[0.99970055,0.00009756291,0.000042608546,0.000028881293,0.00005452014,0.00007593637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015204142,0.00022468614,0.0005689614,0.00022403453,0.0010506766,0.0012008579,0.0004928596,0.00072011433,0.0012882922],"category_scores_gemma":[0.0003568458,0.00022831155,0.0002359947,0.00017480533,0.0011029904,0.0007261525,0.0005875256,0.00061192585,0.00018818944],"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":[0.0026790441,0.0009869767,0.011360758,0.00011001478,0.00008171153,0.0023502687,0.0005193626,0.111745745,0.8339869,0.022865325,0.0021970118,0.011116901],"study_design_scores_gemma":[0.00017875437,0.0009047818,0.022722293,0.000020393287,0.00006549538,0.00040176106,0.00041951932,0.6788422,0.29236647,0.0018981416,0.0020439902,0.000136307],"about_ca_topic_score_codex":0.005073493,"about_ca_topic_score_gemma":0.0021950712,"teacher_disagreement_score":0.005073493,"about_ca_system_score_codex":0.0010606586,"about_ca_system_score_gemma":0.001080272,"threshold_uncertainty_score":0.010087907},"labels":[],"label_agreement":null},{"id":"W2981738241","doi":"10.1007/s40825-019-00143-0","title":"Kinetic Modelling of Co3O4- and Pd/Co3O4-Catalyzed Wet Lean Methane Combustion","year":2019,"lang":"en","type":"article","venue":"Emission Control Science and Technology","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Catalysis; Activation energy; Bimetallic strip; Methane; Chemistry; Catalytic combustion; Order of reaction; Cobalt oxide; Cobalt; Oxide; Combustion; Palladium; Inorganic chemistry; Kinetic energy; Kinetics; Reaction rate constant; Physical chemistry; Organic chemistry","score_opus":0.010487689569702616,"score_gpt":0.23803153938432955,"score_spread":0.22754384981462694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981738241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752192,0.00021808743,0.01064994,0.000109986344,0.000037904567,0.00004708068,0.0006607472,0.00020273041,0.01285438],"genre_scores_gemma":[0.9968009,0.000085216496,0.0006306587,0.0000067575384,0.0000026865944,0.000018784891,0.00021540157,0.000021151462,0.002218363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999049,0.0000114727945,0.0000060761477,0.000013612527,0.000029497089,0.000034507735],"domain_scores_gemma":[0.99980587,0.000107501684,0.000024821142,0.000012084014,0.000031916297,0.00001778318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018537292,0.0006043161,0.0007328993,0.00052339816,0.00046384946,0.0009545316,0.00073486415,0.00085619633,0.0026880864],"category_scores_gemma":[0.00046256895,0.00032118536,0.0007261238,0.00043550247,0.00041816817,0.00055715634,0.00032377554,0.00046120913,0.0003299309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021622617,0.000070353504,0.0010423417,0.000073577285,0.000023266064,0.00010879536,0.000029574758,0.9802408,0.014948553,0.0013697837,0.000097628305,0.0017791039],"study_design_scores_gemma":[0.000013121078,0.000029402785,0.00067857205,0.0000022637064,0.0000056071212,0.000008243317,0.000013811978,0.9938862,0.0050608246,0.00014919,0.0001460334,0.0000067149804],"about_ca_topic_score_codex":0.03110234,"about_ca_topic_score_gemma":0.012675866,"teacher_disagreement_score":0.03110234,"about_ca_system_score_codex":0.0011257264,"about_ca_system_score_gemma":0.00081777264,"threshold_uncertainty_score":0.06184256},"labels":[],"label_agreement":null},{"id":"W3010400353","doi":"10.1007/s40825-020-00158-y","title":"Simulation of Flow Patterns in Particulate Filters with Various Viscous Models","year":2020,"lang":"en","type":"article","venue":"Emission Control Science and Technology","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Particulates; Turbulence; Gasoline; Pressure drop; Gasoline direct injection; Laminar flow; Mechanics; Diesel particulate filter; Inflow; Environmental science; Drop (telecommunication); Flow (mathematics); Reynolds number; Materials science; Chemistry; Waste management; Physics; Engineering; Mechanical engineering","score_opus":0.00873238827036661,"score_gpt":0.2167427301209509,"score_spread":0.2080103418505843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010400353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739808,0.00009135384,0.0206485,0.00016812608,0.000040341027,0.00006200699,0.00024640406,0.00023119058,0.0045313686],"genre_scores_gemma":[0.9956321,0.00004044543,0.003305579,0.000019362007,0.0000056266913,0.000023071323,0.00010453016,0.000021207183,0.0008480343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997805,0.000052526288,0.000013210743,0.00003769849,0.000043186265,0.00007292434],"domain_scores_gemma":[0.99830073,0.0011967309,0.00012997614,0.00006899137,0.00016635987,0.0001372992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004246953,0.00059182144,0.000659547,0.00070833863,0.0007747448,0.0009918484,0.00081627315,0.0015441364,0.0016431286],"category_scores_gemma":[0.0022457135,0.00041543457,0.00074982364,0.00061154773,0.0007429807,0.00063186156,0.00040416713,0.0006809375,0.00012059213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012051958,0.00010670073,0.0021405513,0.000019192994,0.000013361812,0.00006671572,0.00004450019,0.9931766,0.001953666,0.0008765533,0.00009794108,0.0013836251],"study_design_scores_gemma":[0.0000130144945,0.00002473722,0.0003154853,0.0000017735879,0.0000029803277,0.0000041715884,0.00001209133,0.9986211,0.0008852706,0.00007696547,0.000039099472,0.00000331202],"about_ca_topic_score_codex":0.023569942,"about_ca_topic_score_gemma":0.008325013,"teacher_disagreement_score":0.023569942,"about_ca_system_score_codex":0.0012552853,"about_ca_system_score_gemma":0.0010577972,"threshold_uncertainty_score":0.046865523},"labels":[],"label_agreement":null},{"id":"W3021836946","doi":"10.1007/s40825-020-00162-2","title":"Static Cooling of a Monolith Converter: Influence of Radiation and Natural Convection","year":2020,"lang":"en","type":"article","venue":"Emission Control Science and Technology","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal conduction; Natural convection; Convection; Monolith; Mechanics; Heat transfer; Radiation; Materials science; Environmental science; Nuclear engineering; Chemistry; Physics; Optics; Engineering; Composite material; Catalysis","score_opus":0.003324417946455856,"score_gpt":0.19733195771643944,"score_spread":0.19400753976998358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021836946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98971355,0.00022531066,0.005314947,0.00006692049,0.000037987975,0.0000100476655,0.00005085016,0.000112349284,0.0044681365],"genre_scores_gemma":[0.99871516,0.00002543382,0.0003222914,0.0000049186838,0.000003743037,0.0000024390622,0.0000137031775,0.000013204648,0.00089924043],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999188,0.000007277925,0.0000017507459,0.000023461007,0.000021753121,0.000026955546],"domain_scores_gemma":[0.9998553,0.000057173693,0.000013844706,0.000015045481,0.000039059967,0.00001953167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021402586,0.00020201133,0.0005593352,0.00013355086,0.0005662107,0.00063005066,0.00056054245,0.0002716162,0.0025460396],"category_scores_gemma":[0.0003186806,0.00015759908,0.00018998388,0.00014966648,0.0004496998,0.00046769972,0.00020561612,0.0002946842,0.00021893358],"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":[0.0016110655,0.00022328568,0.0035209302,0.0001612093,0.000034915596,0.00021573051,0.0001143566,0.04430175,0.93160856,0.0020419483,0.0008567173,0.015309471],"study_design_scores_gemma":[0.00006870661,0.0006616931,0.0070411186,0.000012632857,0.000046943154,0.00012929976,0.00008855451,0.27199337,0.7178192,0.00028340032,0.001830958,0.000024087625],"about_ca_topic_score_codex":0.0027752328,"about_ca_topic_score_gemma":0.003036716,"teacher_disagreement_score":0.0027752328,"about_ca_system_score_codex":0.0005858883,"about_ca_system_score_gemma":0.0007108841,"threshold_uncertainty_score":0.0085173845},"labels":[],"label_agreement":null},{"id":"W3158460863","doi":"10.1007/s40825-021-00199-x","title":"Cold-Start Modeling and On-Line Optimal Control of the Three-Way Catalyst","year":2021,"lang":"en","type":"preprint","venue":"Emission Control Science and Technology","topic":"Catalytic Processes in Materials Science","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":"Energimyndigheten; Chalmers Tekniska Högskola; Canada Excellence Research Chairs, Government of Canada","keywords":"Controller (irrigation); Benchmark (surveying); Discretization; Cold start (automotive); Optimal control; Combustion; Automotive engineering; Control theory (sociology); Nuclear engineering; Computer science; Engineering; Mathematical optimization; Mathematics; Chemistry; Control (management)","score_opus":0.01653752710863436,"score_gpt":0.2624141955657009,"score_spread":0.24587666845706652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158460863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40891096,0.00018348546,0.57553595,0.0002156812,0.000053087577,0.000121280646,0.00023445375,0.0007392518,0.014005947],"genre_scores_gemma":[0.9906109,0.000037756363,0.0071456498,0.0000127106405,0.0000017872071,0.00007779902,0.000039902483,0.000020732707,0.002052734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997733,0.000040485425,0.000007588292,0.000054648837,0.00007657314,0.00004738917],"domain_scores_gemma":[0.99961674,0.00016186971,0.000064301596,0.000041340572,0.0000938922,0.0000217406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005240316,0.00060343754,0.00065104204,0.00031447574,0.0005462713,0.000996591,0.00096210715,0.0009347826,0.0016681603],"category_scores_gemma":[0.0008215139,0.00040123425,0.00070620026,0.00020520129,0.0009210311,0.00049637223,0.0005815784,0.00083250727,0.0002592858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019036384,0.000010426254,0.00011088285,0.00000744787,0.000004178235,0.000011162167,0.000009243089,0.9962386,0.001984175,0.00075879286,0.000031043415,0.0008149914],"study_design_scores_gemma":[0.000003819592,0.00001167573,0.000051855306,9.973728e-7,0.0000018161455,0.0000011611753,0.0000019840481,0.9984332,0.0012457914,0.00017131593,0.00007434152,0.000002078194],"about_ca_topic_score_codex":0.017915154,"about_ca_topic_score_gemma":0.007803315,"teacher_disagreement_score":0.017915154,"about_ca_system_score_codex":0.0012703091,"about_ca_system_score_gemma":0.0011649544,"threshold_uncertainty_score":0.035621762},"labels":[],"label_agreement":null},{"id":"W3173406251","doi":"10.1007/s40825-021-00193-3","title":"Particle Size-Dependent Filtration Efficiency and Pressure Drop of Gasoline Particle Filters with Varying Washcoat Volumes","year":2021,"lang":"en","type":"article","venue":"Emission Control Science and Technology","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Soot; Filtration (mathematics); Pressure drop; Scanning mobility particle sizer; Diesel particulate filter; Gasoline; Particle (ecology); Particle size; Materials science; Volumetric flow rate; Particulates; Environmental engineering; Waste management; Environmental science; Exhaust gas; Chemistry; Chemical engineering; Particle-size distribution; Mechanics; Combustion; Physics; Engineering; Mathematics","score_opus":0.004329045683355039,"score_gpt":0.2027793238756214,"score_spread":0.19845027819226635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173406251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981681,0.00017952891,0.001214362,0.00001716291,0.000011809008,0.000006731278,0.00012523365,0.00004407285,0.00023295177],"genre_scores_gemma":[0.99702245,0.00020259687,0.0014167273,0.000023829107,0.0000063843654,0.000013573571,0.00034904093,0.000017969254,0.0009474141],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945277,0.00005861923,0.000054443866,0.00013857987,0.00016145667,0.00013408379],"domain_scores_gemma":[0.9988286,0.00055229996,0.00018469518,0.00006577381,0.00031606466,0.00005265454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005537798,0.00039102483,0.0003105874,0.00031041456,0.00028002722,0.00048357862,0.00037780282,0.00059471204,0.0010878376],"category_scores_gemma":[0.001418547,0.00024542492,0.00042484634,0.0003418856,0.00026769022,0.00064010004,0.00015020218,0.0004261386,0.00038090552],"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":[0.0008376698,0.000089047244,0.001847833,0.000052391923,0.00003179868,0.000054330852,0.00010758545,0.00097034854,0.99208844,0.000048877744,0.000089260735,0.0037823648],"study_design_scores_gemma":[0.000004073508,0.000304355,0.0054440345,0.000002424101,0.000017801365,0.000020537349,0.00003497261,0.0019442195,0.9920827,0.000008156194,0.00012805779,0.000008613047],"about_ca_topic_score_codex":0.0045844363,"about_ca_topic_score_gemma":0.0035140153,"teacher_disagreement_score":0.0045844363,"about_ca_system_score_codex":0.00041562095,"about_ca_system_score_gemma":0.0003272837,"threshold_uncertainty_score":0.009115517},"labels":[],"label_agreement":null},{"id":"W4308160343","doi":"10.1007/s40825-022-00217-6","title":"Transient Flow Uniformity Evolution in Realistic Exhaust Gas Aftertreatment Systems Using 3D-CFD","year":2022,"lang":"en","type":"article","venue":"Emission Control Science and Technology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":11,"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":"Energimyndigheten; Chalmers Tekniska Högskola; Canada Excellence Research Chairs, Government of Canada","keywords":"Computational fluid dynamics; Transient (computer programming); Flow (mathematics); Mechanics; Exhaust gas; Environmental science; Automotive engineering; Computer science; Thermodynamics; Engineering; Physics","score_opus":0.007471456459953974,"score_gpt":0.21671390973918672,"score_spread":0.20924245327923274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308160343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679924,0.00010367091,0.02575372,0.00014269371,0.000023471703,0.000034476925,0.00053846085,0.00068235386,0.0047287615],"genre_scores_gemma":[0.9968669,0.000029664243,0.0023172926,0.00001157389,0.0000025570846,0.000013428328,0.00017928838,0.000023650984,0.0005555788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990475,0.000015778116,0.000005590508,0.000017776561,0.000029964312,0.0000261951],"domain_scores_gemma":[0.999754,0.00012981998,0.000028055518,0.000026442123,0.000041961248,0.000019811621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018804648,0.0003200013,0.00041861608,0.00034222833,0.00039929035,0.0006719083,0.00043669494,0.0008404356,0.0014315683],"category_scores_gemma":[0.00053471833,0.0001975373,0.0005360434,0.00028672392,0.0005590674,0.00040215542,0.00032236244,0.00045402217,0.00014000405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071895665,0.000054381813,0.0030578894,0.000018673758,0.0000083159575,0.00011495296,0.000060925428,0.98614675,0.007063444,0.00073866826,0.00019275892,0.0024713103],"study_design_scores_gemma":[0.000004678509,0.000013604704,0.0007731962,0.0000015695241,0.0000014865908,0.0000061840005,0.000013565888,0.9973489,0.0016411596,0.00008750618,0.000103251434,0.000004992825],"about_ca_topic_score_codex":0.01947546,"about_ca_topic_score_gemma":0.008245603,"teacher_disagreement_score":0.01947546,"about_ca_system_score_codex":0.00092927157,"about_ca_system_score_gemma":0.0006454788,"threshold_uncertainty_score":0.038724184},"labels":[],"label_agreement":null},{"id":"W4361208532","doi":"10.1007/s40825-023-00224-1","title":"Coupling of Liquid and Surface Chemistry in Urea SCR Systems","year":2023,"lang":"en","type":"article","venue":"Emission Control Science and Technology","topic":"Catalytic Processes in Materials Science","field":"Materials 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 Alberta","funders":"","keywords":"Catalysis; Selective catalytic reduction; Chemistry; Urea; Coupling (piping); Mixing (physics); Work (physics); Combustion; Decomposition; Channel (broadcasting); Mechanics; Chemical engineering; Thermodynamics; Materials science; Physical chemistry; Physics; Composite material; Organic chemistry; Engineering","score_opus":0.00736582604294736,"score_gpt":0.250153052429285,"score_spread":0.24278722638633762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361208532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9511946,0.00029464703,0.03772833,0.00009530922,0.00006964876,0.0000515178,0.00012305343,0.00027074767,0.010172232],"genre_scores_gemma":[0.9942297,0.00009630504,0.004013445,0.000022939685,0.000005835714,0.0000252956,0.00005596553,0.000016770473,0.0015337715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992275,0.000009224759,0.0000024111891,0.000016313357,0.00002908004,0.000020279138],"domain_scores_gemma":[0.99993813,0.000024995992,0.000008794441,0.0000078388,0.000012177545,0.000008040257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001086401,0.00019556463,0.00034745113,0.0001086944,0.00019199707,0.0003532193,0.00039674272,0.0004199957,0.0018872027],"category_scores_gemma":[0.0002038833,0.00016840015,0.0002717294,0.00008312218,0.00026988232,0.00032468094,0.00032026347,0.00024296861,0.000205742],"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":[0.00016035337,0.00021626652,0.0011832985,0.00017883,0.000044425968,0.0004535084,0.000084355444,0.55800456,0.4238139,0.008127358,0.00042464485,0.0073084924],"study_design_scores_gemma":[0.000023414479,0.00012539234,0.00039274283,0.0000026387377,0.0000067032192,0.000025295514,0.000011868099,0.9547904,0.04333075,0.00056845095,0.0007123794,0.000009963146],"about_ca_topic_score_codex":0.0021800261,"about_ca_topic_score_gemma":0.0011523954,"teacher_disagreement_score":0.0021800261,"about_ca_system_score_codex":0.00036519047,"about_ca_system_score_gemma":0.00033313042,"threshold_uncertainty_score":0.006313324},"labels":[],"label_agreement":null}]}