{"meta":{"query_hash":"08c0325f0211","filters":{"venue":"2022 23rd International Symposium on Quality Electronic Design (ISQED)"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/08c0325f0211","api":"https://metacan.xera.ac/api/v1/cohort?venue=2022+23rd+International+Symposium+on+Quality+Electronic+Design+%28ISQED%29"},"results":[{"id":"W4283687422","doi":"10.1109/isqed54688.2022.9806228","title":"Routability-driven Global Routing with 3D Congestion Estimation Using a Customized Neural Network","year":2022,"lang":"en","type":"article","venue":"2022 23rd International Symposium on Quality Electronic Design (ISQED)","topic":"VLSI and FPGA Design Techniques","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 British Columbia","funders":"","keywords":"Routing (electronic design automation); Computer science; Artificial neural network; Estimation; Computer network; Embedded system; Real-time computing; Artificial intelligence; Engineering; Systems engineering","score_opus":0.019961367447600555,"score_gpt":0.27823394752510594,"score_spread":0.25827258007750536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283687422","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":[0.06435194,0.00019535398,0.92967254,0.00010334476,0.00004238689,0.000057668876,0.000104733015,0.0027398956,0.0027322362],"genre_scores_gemma":[0.7635739,0.0001424844,0.23274459,0.00009737185,0.000016679056,0.00009996788,0.00026002503,0.00015402609,0.002911055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984264,0.000016340357,0.0000068365416,0.00005401343,0.000055036482,0.000025083149],"domain_scores_gemma":[0.99976283,0.000059797585,0.00004486357,0.000044209402,0.00007594921,0.000012389573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002967004,0.00082439336,0.0003962672,0.00055105786,0.00018486934,0.000533465,0.00096266647,0.00047728186,0.0013755719],"category_scores_gemma":[0.0007330666,0.00035000674,0.00048945966,0.0003840079,0.00030213056,0.0006812461,0.00059381087,0.0004720573,0.00020242935],"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":[0.00008307432,0.000042129617,0.0014512072,0.000052178653,0.000052114992,0.00007335361,0.00004247697,0.8267513,0.020913733,0.0020966572,0.0011344441,0.1473073],"study_design_scores_gemma":[0.0000023423925,0.000020398596,0.0001722576,0.000002136388,0.000007154397,0.000010896852,0.000002484837,0.9970144,0.0021686358,0.00034884858,0.00024678008,0.000003665228],"about_ca_topic_score_codex":0.0076679457,"about_ca_topic_score_gemma":0.01158126,"teacher_disagreement_score":0.0076679457,"about_ca_system_score_codex":0.0009087637,"about_ca_system_score_gemma":0.0007614586,"threshold_uncertainty_score":0.01524663},"labels":[],"label_agreement":null},{"id":"W4283697320","doi":"10.1109/isqed54688.2022.9806152","title":"Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping","year":2022,"lang":"en","type":"article","venue":"2022 23rd International Symposium on Quality Electronic Design (ISQED)","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","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":"Simon Fraser University","funders":"Simon Fraser University; Government of Canada; CW+","keywords":"Computer science; Robustness (evolution); Deep neural networks; Vulnerability (computing); Adversarial system; Threat model; Computer security; Artificial intelligence; Artificial neural network","score_opus":0.04025858625416238,"score_gpt":0.32173591005360186,"score_spread":0.28147732379943946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283697320","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":[0.1620298,0.00055205583,0.82850647,0.00059534976,0.00019516794,0.00009348992,0.000115156334,0.0014558721,0.0064566056],"genre_scores_gemma":[0.9504205,0.00015634256,0.04742732,0.00026171768,0.000023538354,0.000055854427,0.000056737088,0.000060549894,0.0015374221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990325,0.00023274851,0.000073029034,0.00020089258,0.0003188548,0.00014210492],"domain_scores_gemma":[0.99796677,0.0008926731,0.0002889114,0.00056687935,0.00022589303,0.000058868183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010955178,0.0009054651,0.0005349212,0.0005267117,0.00040335135,0.00058264507,0.0011356961,0.001068747,0.0015606381],"category_scores_gemma":[0.005206411,0.00030692763,0.0005370232,0.00025158608,0.0013567151,0.0014043475,0.0015906964,0.0014402337,0.0003399359],"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":[0.00053075165,0.00007625808,0.0026022997,0.00020456787,0.00016871339,0.0005612116,0.00020516182,0.72030467,0.0843191,0.059335176,0.00244282,0.1292493],"study_design_scores_gemma":[0.000021528189,0.00013598854,0.00029326472,0.000028974126,0.00003158207,0.00016644305,0.000017617609,0.93895614,0.036264155,0.02232418,0.001742044,0.000018020957],"about_ca_topic_score_codex":0.00062597194,"about_ca_topic_score_gemma":0.0007424173,"teacher_disagreement_score":0.0015606381,"about_ca_system_score_codex":0.00069751905,"about_ca_system_score_gemma":0.0005034918,"threshold_uncertainty_score":0.0057937503},"labels":[],"label_agreement":null},{"id":"W4283701272","doi":"10.1109/isqed54688.2022.9806266","title":"Multi-Objective Variation-Aware Sizing for Analog CNFET Circuits","year":2022,"lang":"en","type":"article","venue":"2022 23rd International Symposium on Quality Electronic Design (ISQED)","topic":"VLSI and FPGA Design Techniques","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":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Process variation; Carbon nanotube field-effect transistor; Computer science; Electronic circuit; Sizing; Robustness (evolution); Electronic engineering; Analogue electronics; Transistor; Process (computing); Field-effect transistor; Engineering; Electrical engineering; Voltage","score_opus":0.030396991637106973,"score_gpt":0.28997532716396696,"score_spread":0.25957833552686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283701272","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":[0.07166909,0.00030137989,0.9234226,0.000096427815,0.000026855188,0.00008626669,0.000048142803,0.00024220713,0.0041070455],"genre_scores_gemma":[0.7401672,0.00015640224,0.25690562,0.00007552293,0.000013455785,0.00020732105,0.00010469133,0.000099077886,0.0022707754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973553,0.00006908644,0.000009406285,0.000048381124,0.00010623145,0.00003144067],"domain_scores_gemma":[0.9996315,0.00019875568,0.00005956356,0.000020345205,0.00007307045,0.000016783522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062084495,0.00092697196,0.00047473342,0.0006281311,0.0002499991,0.00047691393,0.0006107434,0.0004963171,0.0011223283],"category_scores_gemma":[0.0009967254,0.00026517973,0.00057555287,0.0003407315,0.00031293966,0.00040026024,0.00041710978,0.00045500242,0.00011179297],"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":[0.000012944284,0.000017301703,0.00026274772,0.000033115502,0.000012357543,0.000022479864,0.000017225608,0.9743945,0.0059611895,0.0010967568,0.00014382222,0.01802551],"study_design_scores_gemma":[0.000004223969,0.000028235048,0.00014101794,0.0000031561992,0.0000051468514,0.000007699807,0.0000059093695,0.997428,0.0014366364,0.0006284693,0.0003087385,0.0000027197555],"about_ca_topic_score_codex":0.0023757785,"about_ca_topic_score_gemma":0.0029294745,"teacher_disagreement_score":0.0023757785,"about_ca_system_score_codex":0.0007338914,"about_ca_system_score_gemma":0.0007923665,"threshold_uncertainty_score":0.0053248405},"labels":[],"label_agreement":null},{"id":"W4283708895","doi":"10.1109/isqed54688.2022.9806199","title":"Layout-based Vulnerability Analysis of LEON3 Processor to Single Event Multiple Transients using Satisfiability Modulo Theories","year":2022,"lang":"en","type":"article","venue":"2022 23rd International Symposium on Quality Electronic Design (ISQED)","topic":"Radiation Effects in Electronics","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":"Concordia University","funders":"","keywords":"Modulo; Event (particle physics); Soft error; Computer science; Adjacency list; Xeon Phi; Application-specific integrated circuit; Fault injection; Vulnerability (computing); Parallel computing; Reliability (semiconductor); Algorithm; Computer hardware; Arithmetic; Mathematics; Engineering; Electronic engineering; Discrete mathematics; Software; Physics","score_opus":0.02069926080672549,"score_gpt":0.29210624545673425,"score_spread":0.2714069846500088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283708895","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":[0.6761675,0.00030717032,0.31966102,0.00012787717,0.00001212648,0.0000734926,0.00033971004,0.0008723181,0.0024388393],"genre_scores_gemma":[0.9648559,0.000116759904,0.034339074,0.000020662621,0.000004946512,0.00003323043,0.00027486208,0.000035339148,0.0003192113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996043,0.00011340931,0.000020610729,0.000044815788,0.00014942286,0.00006752741],"domain_scores_gemma":[0.9987582,0.0007478444,0.00018303939,0.00012711479,0.0001658693,0.0000180038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005997036,0.00037279757,0.00030169246,0.0011538793,0.00022635233,0.0003357508,0.0004247532,0.00026070245,0.0011275422],"category_scores_gemma":[0.0026345442,0.00016180541,0.00083074614,0.00055467203,0.00039818994,0.0006552528,0.00044074428,0.00026586503,0.0000986668],"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":[0.0000963489,0.000031335476,0.013800106,0.0001188802,0.00007091441,0.00024771068,0.00007747745,0.92785364,0.015822835,0.0068097967,0.0005167024,0.034554362],"study_design_scores_gemma":[0.0000042796046,0.00004973325,0.0017165927,0.0000062096797,0.000015658234,0.00007916163,0.000030716394,0.9904941,0.0048189983,0.0025822516,0.00019752122,0.000004875172],"about_ca_topic_score_codex":0.0028827388,"about_ca_topic_score_gemma":0.0026243187,"teacher_disagreement_score":0.0028827388,"about_ca_system_score_codex":0.0005606744,"about_ca_system_score_gemma":0.00085062895,"threshold_uncertainty_score":0.0057318807},"labels":[],"label_agreement":null},{"id":"W4283710572","doi":"10.1109/isqed54688.2022.9806286","title":"Integrated Power Delivery Methodology for 3D ICs","year":2022,"lang":"en","type":"article","venue":"2022 23rd International Symposium on Quality Electronic Design (ISQED)","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":12,"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; Nature","keywords":"Three-dimensional integrated circuit; Parasitic extraction; Power network design; Integrated circuit; Chip; Electronic engineering; Computer science; Power domains; Power management; Voltage; Power (physics); Electrical engineering; Engineering","score_opus":0.056106393591774786,"score_gpt":0.30406920194877374,"score_spread":0.24796280835699896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283710572","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004905617,0.0009267375,0.98138416,0.00011140918,0.00010879249,0.00009938105,0.000064628475,0.00073242805,0.011666811],"genre_scores_gemma":[0.22541931,0.0020960951,0.75521713,0.00028008598,0.000096578435,0.0003874695,0.00028868637,0.00029019394,0.01592445],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995943,0.000041380783,0.00001658288,0.000056046163,0.0002586299,0.000033224747],"domain_scores_gemma":[0.9998474,0.000031217583,0.000024649731,0.00003579803,0.000054433065,0.000006365712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030085404,0.00052352063,0.00029791045,0.0006009773,0.00028901699,0.0009877237,0.0010358524,0.00063683337,0.003936011],"category_scores_gemma":[0.00045405029,0.00033679142,0.0005329786,0.00036269138,0.0003716782,0.00068472873,0.00090663094,0.00068120554,0.0012868426],"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":[0.000049880953,0.000114380906,0.00040077412,0.00081538217,0.00008460189,0.0004660147,0.00028192616,0.11884427,0.36079293,0.2100942,0.0062243184,0.30183133],"study_design_scores_gemma":[0.000041045318,0.0004757058,0.0005565971,0.00012854834,0.000090867485,0.001211407,0.00009891766,0.54615134,0.21295059,0.043360934,0.19487095,0.000063170875],"about_ca_topic_score_codex":0.00042447896,"about_ca_topic_score_gemma":0.0005643938,"teacher_disagreement_score":0.003936011,"about_ca_system_score_codex":0.0005618554,"about_ca_system_score_gemma":0.00058840436,"threshold_uncertainty_score":0.013167322},"labels":[],"label_agreement":null},{"id":"W4283724811","doi":"10.1109/isqed54688.2022.9806259","title":"Reinforcement-Learning-based Mixed-Signal IC Placement for Fogging Effect Control","year":2022,"lang":"en","type":"article","venue":"2022 23rd International Symposium on Quality Electronic Design (ISQED)","topic":"Advancements in Photolithography Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Lithography; Computer science; Reinforcement learning; Electron-beam lithography; Simulated annealing; Electronic engineering; Resist; Artificial intelligence; Engineering; Materials science; Nanotechnology; Algorithm","score_opus":0.010342675433921466,"score_gpt":0.2755368163201405,"score_spread":0.265194140886219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283724811","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":[0.03791609,0.00020226836,0.95784867,0.000108270695,0.00006647807,0.0000460139,0.000016466265,0.0007532711,0.0030424471],"genre_scores_gemma":[0.943551,0.000057677666,0.054590832,0.00008164748,0.00001643851,0.000047034388,0.00001886069,0.000028108187,0.0016083659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998455,0.000025325126,0.000006898327,0.00004006369,0.00005235885,0.000029851759],"domain_scores_gemma":[0.99968517,0.00011785246,0.00006311287,0.000025516201,0.000083014114,0.000025271222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000305897,0.0005785382,0.00039325585,0.00021185829,0.00022597649,0.00030575445,0.00085085956,0.0004485657,0.0012937948],"category_scores_gemma":[0.000802446,0.00019542727,0.00026921387,0.00013772633,0.0004170153,0.00032123557,0.0004136742,0.000506227,0.0001776223],"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":[0.00007799479,0.00006508677,0.00042780864,0.000047496316,0.00002132989,0.00007090117,0.000043521228,0.926281,0.015167906,0.0018059128,0.00058430806,0.05540676],"study_design_scores_gemma":[0.000006077094,0.000031705065,0.00005279692,0.0000017923487,0.0000033878357,0.0000072989346,0.0000018739887,0.9980788,0.0013518145,0.00028339517,0.00017912843,0.0000019397048],"about_ca_topic_score_codex":0.0035430994,"about_ca_topic_score_gemma":0.004274566,"teacher_disagreement_score":0.0035430994,"about_ca_system_score_codex":0.0005741204,"about_ca_system_score_gemma":0.00061148166,"threshold_uncertainty_score":0.007044971},"labels":[],"label_agreement":null}]}