{"meta":{"query_hash":"c15130861d14","filters":{"venue":"Foundations and Trends® in Electronic Design Automation"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"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/c15130861d14","api":"https://metacan.xera.ac/api/v1/cohort?venue=Foundations+and+Trends%C2%AE+in+Electronic+Design+Automation"},"results":[{"id":"W1974823485","doi":"10.1561/1000000031","title":"Addressing Process Variations at the Microarchitecture and System Level","year":2013,"lang":"en","type":"article","venue":"Foundations and Trends® in Electronic Design Automation","topic":"Low-power high-performance VLSI design","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 Waterloo","funders":"","keywords":"Abstraction; Computer science; Process variation; Process (computing); Microarchitecture; Abstraction layer; Design process; Macro; Systems design; Computer architecture; Reliability engineering; Systems engineering; Engineering; Work in process; Software engineering; Embedded system; Software; Programming language","score_opus":0.026134232466345702,"score_gpt":0.25200958039690363,"score_spread":0.22587534793055794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974823485","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":[0.5494645,0.001657738,0.444204,0.0006666765,0.0002208561,0.0010120113,0.00001729519,0.0007830084,0.0019739217],"genre_scores_gemma":[0.9974918,0.000042831954,0.0017623109,0.000014346087,0.000034855297,0.00031134146,0.00006552368,0.000028435172,0.00024859185],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899703,0.00007512518,0.00025913477,0.00019608825,0.00013019619,0.0003424329],"domain_scores_gemma":[0.9995736,0.00010931909,0.000060588776,0.00017341609,0.000043560016,0.00003951828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002593636,0.00017055262,0.00013475334,0.00031313684,0.0003591311,0.00021949779,0.00009319926,0.00008159184,0.00009648888],"category_scores_gemma":[0.000012075362,0.00013528854,0.000018658991,0.000559851,0.000054256594,0.0004926899,0.000017526889,0.00019457217,0.000036895108],"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":[0.00003030545,0.00011672403,0.0013155303,0.0006478137,0.00030660108,0.0000031335858,0.011294318,0.20675512,0.025934948,0.021017257,0.0042614103,0.72831684],"study_design_scores_gemma":[0.0005598724,0.00004614178,0.033728287,0.00008059214,0.000040681658,0.000070405134,0.00014030331,0.96216786,0.0011854741,0.0013444596,0.00038448616,0.00025145532],"about_ca_topic_score_codex":0.000049482765,"about_ca_topic_score_gemma":0.00017570666,"teacher_disagreement_score":0.7554127,"about_ca_system_score_codex":0.00033017277,"about_ca_system_score_gemma":0.000045332145,"threshold_uncertainty_score":0.55169064},"labels":[],"label_agreement":null},{"id":"W2020053814","doi":"10.1561/1000000038","title":"Datacenter Power Management in Smart Grids","year":2015,"lang":"en","type":"article","venue":"Foundations and Trends® in Electronic Design Automation","topic":"Cloud Computing and Resource Management","field":"Computer Science","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":"McGill University","funders":"","keywords":"Smart grid; Computer science; Power (physics); Power management; Electrical engineering; Engineering; Physics","score_opus":0.0254850958442378,"score_gpt":0.27056126323927965,"score_spread":0.24507616739504184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020053814","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":[0.05285329,0.00020990871,0.92445743,0.0021743246,0.0003267537,0.0003632753,7.5436463e-7,0.000296099,0.019318154],"genre_scores_gemma":[0.9866478,0.000012889734,0.012070263,0.00010154814,0.000013250448,0.000041719595,0.00002089869,0.0000072007037,0.0010844683],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874276,0.00012783657,0.00025228146,0.00033432245,0.00020183172,0.00034098836],"domain_scores_gemma":[0.9995163,0.00003114772,0.0000635246,0.00031883336,0.000020954394,0.00004921478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000757291,0.00011764661,0.000108149696,0.0006435146,0.000067683446,0.00019981743,0.00029065486,0.000033602846,0.000015592484],"category_scores_gemma":[0.000008529039,0.00011479609,0.000020023834,0.00092157663,0.000018607112,0.00015055899,0.00016589681,0.000114772134,0.00003761855],"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":[0.000018822771,0.0003577082,0.00072083663,0.000013128093,0.00005014582,0.000024655268,0.0020874173,0.022742787,0.000007939605,0.2658226,0.004484539,0.7036694],"study_design_scores_gemma":[0.001680747,0.00021842001,0.025369804,0.00003154367,0.0000099336985,0.000014013067,0.00010601213,0.93234116,0.000010175171,0.013841448,0.026133625,0.0002431083],"about_ca_topic_score_codex":0.00003865794,"about_ca_topic_score_gemma":0.000087698405,"teacher_disagreement_score":0.9337945,"about_ca_system_score_codex":0.0002722774,"about_ca_system_score_gemma":0.00003503692,"threshold_uncertainty_score":0.46812487},"labels":[],"label_agreement":null},{"id":"W2040399487","doi":"10.1561/1000000014","title":"System-in-Package: Electrical and Layout Perspectives","year":2011,"lang":"en","type":"article","venue":"Foundations and Trends® in Electronic Design Automation","topic":"Electromagnetic Compatibility and Noise Suppression","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":"University of Alberta","funders":"","keywords":"Scalability; Computer science; System in package; Electronics; System integration; Design flow; Embedded system; Routing (electronic design automation); Power integrity; Signal integrity; Physical design; Systems design; Computer architecture; Telecommunications; Computer hardware; Electrical engineering; Systems engineering; Printed circuit board; Engineering; Circuit design; Software engineering; Operating system; Chip","score_opus":0.01612950138943203,"score_gpt":0.23223340723494196,"score_spread":0.21610390584550992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040399487","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":[0.97665924,0.002431449,0.015708355,0.000029982333,0.000044619414,0.00023963254,0.000001712192,0.0003076932,0.004577334],"genre_scores_gemma":[0.99808943,0.00017089755,0.0015764205,0.0000022653628,0.000013677101,0.000058486123,0.000015054398,0.000015616246,0.000058128357],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989995,0.000101953454,0.00024530437,0.00023374283,0.0000904077,0.00032909826],"domain_scores_gemma":[0.9997014,0.00007395852,0.000029243663,0.00013409034,0.00001954326,0.00004180299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002665816,0.00014054355,0.000165311,0.00048513868,0.0000718254,0.00003960476,0.00005749174,0.000078217825,0.00008774075],"category_scores_gemma":[0.000018463934,0.00014397033,0.000019709816,0.00054824085,0.000034974655,0.00025281194,0.000010946684,0.00021018831,0.0000059000126],"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":[0.00030365677,0.0009367716,0.010571798,0.00039073036,0.00016979045,0.000036866484,0.0337324,0.0037489885,0.020401342,0.29388842,0.00055384915,0.6352654],"study_design_scores_gemma":[0.0010749642,0.00042237758,0.19365314,0.00007507794,0.00003126003,0.000050620114,0.00047375806,0.79654396,0.0013610832,0.0058999676,0.000085345106,0.00032846993],"about_ca_topic_score_codex":0.00008829565,"about_ca_topic_score_gemma":0.00033525407,"teacher_disagreement_score":0.79279494,"about_ca_system_score_codex":0.00026947306,"about_ca_system_score_gemma":0.000030567102,"threshold_uncertainty_score":0.58709395},"labels":[],"label_agreement":null},{"id":"W2243986521","doi":"10.1561/1000000042","title":"Utilization Control and Optimization of Real-Time Embedded Systems","year":2015,"lang":"en","type":"article","venue":"Foundations and Trends® in Electronic Design Automation","topic":"Real-Time Systems Scheduling","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":"McGill University","funders":"","keywords":"Computer science; Workload; Overhead (engineering); Correctness; Identification (biology); Model predictive control; Real-time computing; Optimal control; Distributed computing; Control (management); Embedded system","score_opus":0.033771433767366923,"score_gpt":0.27993699571382574,"score_spread":0.24616556194645883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243986521","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":[0.0071924543,0.0003377645,0.99084604,0.000103632956,0.00009242634,0.00035917052,0.0000016897538,0.00016244734,0.000904375],"genre_scores_gemma":[0.95837754,0.00007419195,0.04126208,0.0000047327585,0.00002147707,0.000059083057,0.000053770465,0.000012513336,0.00013460708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825144,0.00043747842,0.0004942281,0.0003139587,0.00024792762,0.00025499854],"domain_scores_gemma":[0.9989975,0.0001615064,0.0003108672,0.0002626922,0.00019315648,0.00007429422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014026925,0.00014287196,0.00024957064,0.0005472508,0.00008437614,0.00024331947,0.00014780655,0.000090477864,0.0000064779942],"category_scores_gemma":[0.00009517966,0.00014496112,0.000020237083,0.0008537865,0.0000369192,0.0012268843,0.000026901678,0.00007054807,0.000005826443],"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":[0.000032531017,0.00010664621,0.000252372,0.000048163176,0.000054907152,0.00000158317,0.0018759308,0.8334309,0.0019522562,0.11210019,0.0001660012,0.049978532],"study_design_scores_gemma":[0.0010686613,0.0001512834,0.00084735063,0.000040100393,0.00001710385,0.000026036134,0.000061519575,0.9962414,0.0000946986,0.001295139,0.000028791394,0.0001279263],"about_ca_topic_score_codex":0.00017380404,"about_ca_topic_score_gemma":0.000014392305,"teacher_disagreement_score":0.9511851,"about_ca_system_score_codex":0.0001804598,"about_ca_system_score_gemma":0.00018493,"threshold_uncertainty_score":0.5911343},"labels":[],"label_agreement":null},{"id":"W2735497888","doi":"10.1561/1000000052","title":"Secure Processors Part II: Intel SGX Security Analysis and MIT Sanctum Architecture","year":2017,"lang":"en","type":"article","venue":"Foundations and Trends® in Electronic Design Automation","topic":"Security and Verification in Computing","field":"Computer 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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Guard (computer science); Software; Isolation (microbiology); State (computer science); Computer security; Trusted Computing; Overhead (engineering); Security analysis; System software; Computation; Software engineering; Operating system; Programming language","score_opus":0.020228285361119053,"score_gpt":0.2873282454876661,"score_spread":0.2670999601265471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735497888","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":[0.11028016,0.00038483663,0.8858442,0.00232303,0.00012430748,0.00018629646,0.0000036988035,0.0001884921,0.00066497334],"genre_scores_gemma":[0.99013597,0.00007652636,0.0094854925,0.0000508486,0.000048419643,0.000046742927,0.000041732623,0.000007153518,0.00010709332],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985061,0.00012876822,0.0003139643,0.00051167206,0.00019373243,0.0003457182],"domain_scores_gemma":[0.9988486,0.00014012132,0.00030279026,0.000561772,0.00008045035,0.00006624457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006373614,0.00017588183,0.00021961458,0.00062284135,0.0011995143,0.00074487965,0.0004643015,0.000099941746,0.000035469337],"category_scores_gemma":[0.00013514605,0.00017544105,0.000056388933,0.0008914844,0.00010160851,0.00085388497,0.00015243083,0.00028181027,0.0000031638872],"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":[0.000026613956,0.0002903174,0.004637064,0.0000675876,0.00043494647,0.000004338113,0.013410641,0.003510217,0.00010260237,0.33067688,0.00040319262,0.6464356],"study_design_scores_gemma":[0.00047890266,0.00012497671,0.04625271,0.00003443708,0.00010999658,0.00001661084,0.00003871346,0.87853426,0.00023274969,0.07054478,0.00333826,0.0002936205],"about_ca_topic_score_codex":0.000079056736,"about_ca_topic_score_gemma":0.00061891926,"teacher_disagreement_score":0.8798558,"about_ca_system_score_codex":0.000093870076,"about_ca_system_score_gemma":0.00009777848,"threshold_uncertainty_score":0.92258155},"labels":[],"label_agreement":null},{"id":"W4206262605","doi":"10.1561/1000000005","title":"FPGA Architecture: Survey and Challenges","year":2008,"lang":"en","type":"article","venue":"Foundations and Trends® in Electronic Design Automation","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":411,"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":"Field-programmable gate array; Architecture; Computer architecture; Computer science; Embedded system; Software engineering; Geography; Archaeology","score_opus":0.06574561753306661,"score_gpt":0.28067210559066563,"score_spread":0.214926488057599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206262605","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":[0.010403201,0.0033090918,0.9840455,0.0007175994,0.00004998394,0.00023522333,0.0000014711063,0.0004396147,0.000798303],"genre_scores_gemma":[0.96890306,0.0019300256,0.028880041,0.00002383857,0.000017029093,0.00008285345,0.000019338466,0.000011648429,0.00013216038],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99834275,0.00048702097,0.00027663578,0.0003937918,0.00017611655,0.00032368524],"domain_scores_gemma":[0.99919724,0.00027928266,0.000108006454,0.00031435766,0.0000503696,0.000050732462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009964458,0.00015664464,0.000182038,0.00057158596,0.0001946882,0.00009866382,0.00021924458,0.00008518395,0.0000073330048],"category_scores_gemma":[0.00005193456,0.00015398678,0.000020679363,0.00061467465,0.00006538791,0.0005372597,0.00005071936,0.00016211289,0.0000056416425],"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":[0.000012285652,0.000106524894,0.00066845975,0.000029048171,0.00003283741,0.000009784019,0.0028076812,0.00018543632,0.0003727584,0.12975614,0.00041118424,0.86560786],"study_design_scores_gemma":[0.001862377,0.0011561508,0.5564203,0.000097589924,0.000018049019,0.0011479068,0.000042915788,0.3009103,0.0018814043,0.1300823,0.0052332175,0.0011474822],"about_ca_topic_score_codex":0.00011595824,"about_ca_topic_score_gemma":0.0004925391,"teacher_disagreement_score":0.95849985,"about_ca_system_score_codex":0.00010829454,"about_ca_system_score_gemma":0.00009428234,"threshold_uncertainty_score":0.6279399},"labels":[],"label_agreement":null},{"id":"W4295974633","doi":"10.1561/1000000051","title":"Secure Processors Part I: Background, Taxonomy for Secure Enclaves and Intel SGX Architecture","year":2017,"lang":"en","type":"article","venue":"Foundations and Trends® in Electronic Design Automation","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":30,"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":"Architecture; Computer science; Computer security; Operating system; History","score_opus":0.06422840979328397,"score_gpt":0.31093188217477175,"score_spread":0.24670347238148777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295974633","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":[0.013708139,0.00031865286,0.982868,0.0019215695,0.00015861946,0.00044588526,0.000004436827,0.00013445472,0.00044023865],"genre_scores_gemma":[0.94618,0.000069061,0.053061068,0.000063213476,0.000094878094,0.0003188478,0.0000444863,0.000011018714,0.00015746256],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867177,0.00008168257,0.00028934292,0.00047034526,0.0001308148,0.00035603443],"domain_scores_gemma":[0.998901,0.00024851988,0.00028328507,0.00042224434,0.00008714193,0.000057783942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005627374,0.00017568903,0.00017056543,0.00028132464,0.000930572,0.0009430055,0.00043902308,0.000104148545,0.000014753663],"category_scores_gemma":[0.00011040986,0.00017586596,0.000037533435,0.0002446703,0.000097325166,0.0009997059,0.000087063876,0.00021418996,0.0000031001885],"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":[0.00002063451,0.00008711423,0.000279109,0.0000700047,0.00003840469,7.778307e-7,0.002339041,0.0007105275,0.000081336104,0.41338682,0.00046940648,0.58251685],"study_design_scores_gemma":[0.0012217959,0.00026944344,0.0069155465,0.00009904708,0.00002618086,0.000040939285,0.00016342949,0.8344386,0.00032446635,0.10661074,0.04944905,0.00044071334],"about_ca_topic_score_codex":0.000022067377,"about_ca_topic_score_gemma":0.00017126524,"teacher_disagreement_score":0.9324718,"about_ca_system_score_codex":0.000094809606,"about_ca_system_score_gemma":0.00013511583,"threshold_uncertainty_score":0.90934235},"labels":[],"label_agreement":null}]}