{"meta":{"query_hash":"626689b2e9be","filters":{"venue":"Microprocessors and Microsystems"},"cohort_total":30,"direct_labels_cover":0,"predictions_cover":30,"exported":30,"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/626689b2e9be","api":"https://metacan.xera.ac/api/v1/cohort?venue=Microprocessors+and+Microsystems"},"results":[{"id":"W1814593823","doi":"10.1016/j.micpro.2015.09.008","title":"On the reliability estimation of nano-circuits using neural networks","year":2015,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Semiconductor materials and devices","field":"Engineering","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":"Thompson Rivers University","funders":"","keywords":"Computer science; Benchmark (surveying); Reliability (semiconductor); Electronic circuit; Artificial neural network; Circuit reliability; Range (aeronautics); Monte Carlo method; Set (abstract data type); Algorithm; Reliability engineering; Artificial intelligence; Mathematics; Statistics","score_opus":0.02369222629737918,"score_gpt":0.22737110109492223,"score_spread":0.20367887479754304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1814593823","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":[0.08139334,0.0020292082,0.91382813,0.00039799305,0.00005379623,0.00003660225,0.00007004798,0.00033043814,0.0018604917],"genre_scores_gemma":[0.945403,0.0008611493,0.051480405,0.00009713407,0.00008808846,0.00005678086,0.00011949085,0.000040072966,0.0018539361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996762,0.00011069753,0.00002285022,0.00006817959,0.00008465366,0.000037402286],"domain_scores_gemma":[0.99747914,0.0019706558,0.00016088448,0.00007891595,0.00028205695,0.000028417413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009114497,0.0005852102,0.000764516,0.0008450928,0.00024973706,0.00060457626,0.0008940499,0.00076204404,0.0008591167],"category_scores_gemma":[0.004682118,0.00041836954,0.0005512872,0.00056022755,0.0004916087,0.0011359693,0.00050739176,0.00076872687,0.0001245652],"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":[0.000060163366,0.000022448712,0.0008672237,0.00004896161,0.00005124096,0.00002111417,0.000019681847,0.948963,0.0011109831,0.0029975767,0.00022246133,0.045615193],"study_design_scores_gemma":[9.232142e-7,0.000004265855,0.00012664282,0.0000023139057,0.0000036097863,0.000002368164,0.000001094522,0.99866986,0.00017791161,0.0009792588,0.000030353662,0.0000014493039],"about_ca_topic_score_codex":0.007848362,"about_ca_topic_score_gemma":0.005567081,"teacher_disagreement_score":0.007848362,"about_ca_system_score_codex":0.0007740046,"about_ca_system_score_gemma":0.0004664177,"threshold_uncertainty_score":0.0156053305},"labels":[],"label_agreement":null},{"id":"W1862078998","doi":"10.1016/j.micpro.2015.10.002","title":"Processor-level reliability simulator for time-dependent gate dielectric breakdown","year":2015,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Defense Advanced Research Projects Agency; National Chiao Tung University; Georgia Institute of Technology; M.S.I. Foundation; National Science Foundation","keywords":"Time-dependent gate oxide breakdown; Microprocessor; Reliability (semiconductor); Dielectric strength; Computer science; Static random-access memory; Degradation (telecommunications); Electronic engineering; Reliability engineering; Electrical engineering; Materials science; Embedded system; Dielectric; Gate dielectric; Computer hardware; Optoelectronics; Transistor; Power (physics); Engineering; Voltage; Physics","score_opus":0.021105052680984657,"score_gpt":0.22609930419789318,"score_spread":0.20499425151690853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1862078998","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":[0.41010192,0.0011141355,0.52210003,0.0006213856,0.00028589746,0.00024761318,0.0059927367,0.019293593,0.040242694],"genre_scores_gemma":[0.914711,0.00034707334,0.072499774,0.0001709436,0.00003402135,0.00023497936,0.0023161734,0.0010722827,0.008613736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999859,0.000029708935,0.0000076139086,0.000022102537,0.0000508394,0.00003071945],"domain_scores_gemma":[0.999297,0.00028247453,0.00005531593,0.00007933281,0.0002562253,0.000029648889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034083446,0.0005620123,0.00061722036,0.00041700221,0.00027602285,0.0004389568,0.0016772856,0.00076451496,0.00804587],"category_scores_gemma":[0.0016225143,0.00040197794,0.0005509169,0.00040759877,0.0001640224,0.0007902992,0.00034120688,0.0008941086,0.0010078172],"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":[0.000070888535,0.00006447253,0.0009805142,0.00012716484,0.0000625912,0.00009157785,0.000055813034,0.97901523,0.0046800612,0.0034093251,0.0035335883,0.007908797],"study_design_scores_gemma":[0.0000114031145,0.000026142421,0.00011726695,0.0000033071913,0.000011421257,0.000013466965,0.0000054058823,0.99701023,0.0013751786,0.0004754047,0.00094680995,0.0000039501947],"about_ca_topic_score_codex":0.005528405,"about_ca_topic_score_gemma":0.0060936995,"teacher_disagreement_score":0.00804587,"about_ca_system_score_codex":0.0006571906,"about_ca_system_score_gemma":0.001558752,"threshold_uncertainty_score":0.026916146},"labels":[],"label_agreement":null},{"id":"W1970866180","doi":"10.1016/j.micpro.2012.06.007","title":"FPGA-based implementation alternatives for the inner loop of the Secure Hash Algorithm SHA-256","year":2012,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":50,"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 Victoria","funders":"","keywords":"Computer science; Hash function; Field-programmable gate array; SHA-2; Algorithm; Block (permutation group theory); Secure Hash Algorithm; Cryptographic hash function; Throughput; Parallel computing; Embedded system; Cryptography; Operating system","score_opus":0.015764890411144823,"score_gpt":0.29038368516258395,"score_spread":0.27461879475143913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970866180","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":[0.3657691,0.0047979136,0.54947907,0.00071031303,0.00094103167,0.0005373503,0.0005100618,0.008527168,0.06872796],"genre_scores_gemma":[0.90035224,0.00042903202,0.08618306,0.00015494059,0.00008202726,0.000068316294,0.00025797548,0.000104378334,0.012367988],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964225,0.00008942584,0.000024472996,0.000040424333,0.00013064076,0.000072794275],"domain_scores_gemma":[0.9996239,0.00010041211,0.000045101195,0.000115920455,0.00009329041,0.000021359325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031577723,0.00050065503,0.00026595884,0.0007213074,0.00031983445,0.0009505044,0.0011179226,0.00042257272,0.011054714],"category_scores_gemma":[0.00080974895,0.0002436639,0.00017947081,0.00042393833,0.00022533082,0.00080186,0.0003016893,0.00045135085,0.0021568143],"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":[0.004799939,0.00051755074,0.005149178,0.00090250827,0.00025606307,0.0008442711,0.00031673955,0.022977004,0.26858172,0.066633224,0.01658298,0.61243874],"study_design_scores_gemma":[0.0012604116,0.004364311,0.0073744883,0.0002356511,0.0003495175,0.0029443596,0.00028072577,0.20822226,0.6208572,0.01709007,0.13685083,0.00017022673],"about_ca_topic_score_codex":0.0005557675,"about_ca_topic_score_gemma":0.00141943,"teacher_disagreement_score":0.011054714,"about_ca_system_score_codex":0.0004183023,"about_ca_system_score_gemma":0.0003736905,"threshold_uncertainty_score":0.03698176},"labels":[],"label_agreement":null},{"id":"W1976207169","doi":"10.1016/j.micpro.2012.11.001","title":"Reduction methods for adapting optical network on chip topologies to 3D architectures","year":2012,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"STMicroelectronics (Canada); Polytechnique Montréal","funders":"","keywords":"Computer science; Scalability; Latency (audio); Network topology; Reduction (mathematics); Network on a chip; Low latency (capital markets); Chip; Topology (electrical circuits); Computer network; Telecommunications; Electrical engineering","score_opus":0.019632397941121243,"score_gpt":0.2985141802748352,"score_spread":0.2788817823337139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976207169","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":[0.0102072405,0.00011851021,0.9831555,0.00005528614,0.000054879394,0.00003393212,0.000041485506,0.00030949828,0.0060237483],"genre_scores_gemma":[0.24328624,0.0005689314,0.74255294,0.000112164154,0.000082070124,0.00027866423,0.0003178977,0.000490734,0.012310409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982375,0.00004165119,0.000007343232,0.000019019142,0.00009071716,0.000017508743],"domain_scores_gemma":[0.999782,0.000091376736,0.000016900496,0.00005650378,0.000044183744,0.000008943933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020203117,0.0005585925,0.0003564974,0.0006985691,0.0003535387,0.0005183823,0.0006586287,0.000366998,0.0038825711],"category_scores_gemma":[0.0006608627,0.0003194706,0.0005688784,0.00051228306,0.0003777897,0.00064039323,0.0008518026,0.0007528515,0.00073027017],"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":[0.000059539016,0.000115112816,0.00031805315,0.00017759477,0.000052109943,0.00011098874,0.00018879326,0.53590363,0.03537426,0.1161951,0.0047823815,0.30672234],"study_design_scores_gemma":[0.000008833602,0.000024300065,0.00012052342,0.00000938987,0.000010681924,0.00005038381,0.000036656784,0.9397169,0.004702208,0.047753587,0.0075566275,0.0000098739465],"about_ca_topic_score_codex":0.0011047513,"about_ca_topic_score_gemma":0.0031998435,"teacher_disagreement_score":0.0038825711,"about_ca_system_score_codex":0.00034638532,"about_ca_system_score_gemma":0.0003083663,"threshold_uncertainty_score":0.012988448},"labels":[],"label_agreement":null},{"id":"W1979847495","doi":"10.1016/j.micpro.2011.05.002","title":"Designing power and performance optimal application-specific Network-on-Chip architectures","year":2011,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Interconnection Networks and Systems","field":"Computer Science","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":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Tabu search; Network on a chip; Network topology; Benchmark (surveying); Floorplan; Power (physics); Queueing theory; Network performance; Distributed computing; Topology (electrical circuits); Embedded system; Computer network; Algorithm","score_opus":0.014396621186339406,"score_gpt":0.19884567440974313,"score_spread":0.18444905322340371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979847495","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":[0.36837468,0.0017217677,0.60014623,0.00085021387,0.0001461855,0.00014115174,0.00012245479,0.0006492791,0.027847938],"genre_scores_gemma":[0.9034505,0.0006536962,0.09261668,0.00013683505,0.00004866387,0.00010150211,0.000119272954,0.000103340826,0.0027695321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973875,0.00007574723,0.00001381288,0.000038518145,0.00005656528,0.00007648378],"domain_scores_gemma":[0.9995946,0.00017033862,0.000061179904,0.0000438265,0.000104259656,0.000025852827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032134217,0.00051851297,0.00038702443,0.0004050151,0.00038530253,0.0006088101,0.0008624171,0.00041790874,0.0016387681],"category_scores_gemma":[0.0017354062,0.00038564333,0.00018552659,0.0005456029,0.00031553704,0.0010575117,0.000487729,0.0004828831,0.00021450024],"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":[0.00017654311,0.00007221846,0.0009691905,0.00021795236,0.000056803157,0.00008250392,0.00007735735,0.8451452,0.03136029,0.027901124,0.0027214563,0.091219395],"study_design_scores_gemma":[0.000018804929,0.00006707832,0.0002738551,0.000008949791,0.000026964937,0.00003850849,0.00004853309,0.9787523,0.0069489423,0.011815759,0.0019919404,0.000008478358],"about_ca_topic_score_codex":0.0009750996,"about_ca_topic_score_gemma":0.004526949,"teacher_disagreement_score":0.0016387681,"about_ca_system_score_codex":0.0008220025,"about_ca_system_score_gemma":0.00082516985,"threshold_uncertainty_score":0.0059641004},"labels":[],"label_agreement":null},{"id":"W1983131004","doi":"10.1016/j.micpro.2009.03.002","title":"Power optimization for application-specific networks-on-chips: A topology-based approach","year":2009,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":40,"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 Victoria","funders":"","keywords":"Computer science; Interconnection; Abstraction; Power consumption; Power (physics); Topology (electrical circuits); Network topology; Embedded system; Network on a chip; Chip; Power optimization; Distributed computing; Computer architecture; Computer network; Telecommunications; Electrical engineering","score_opus":0.008955169748065046,"score_gpt":0.2223771140996473,"score_spread":0.21342194435158227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983131004","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":[0.014544427,0.00071102526,0.9700023,0.00036926856,0.000076380835,0.00009342859,0.00008322036,0.0002658788,0.013853951],"genre_scores_gemma":[0.6882707,0.001650182,0.29453558,0.0003117926,0.00019715098,0.0004208403,0.00029445725,0.0007396953,0.0135796545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995771,0.00018695083,0.000013028445,0.000047743186,0.00012234732,0.00005286725],"domain_scores_gemma":[0.99931884,0.0003948202,0.00005603612,0.000065029635,0.00013728347,0.000028057591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008163673,0.0014209652,0.0016550196,0.0010985939,0.00071590143,0.0012673006,0.002071223,0.0014923917,0.005848394],"category_scores_gemma":[0.0028188762,0.00095488137,0.0010514555,0.0016468226,0.00071286235,0.001981666,0.00095725973,0.0009730356,0.00046387158],"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":[0.0000073161223,0.000010817376,0.000042726468,0.000031666244,0.000014968891,0.000017510258,0.000008200853,0.98499876,0.00033559313,0.006572691,0.00041341968,0.00754635],"study_design_scores_gemma":[0.000002855458,0.000006635942,0.000028302027,0.0000032453402,0.0000067795104,0.000006854691,0.0000051029206,0.9933466,0.00012243318,0.0061125383,0.00035641372,0.0000022740307],"about_ca_topic_score_codex":0.002224227,"about_ca_topic_score_gemma":0.003999921,"teacher_disagreement_score":0.005848394,"about_ca_system_score_codex":0.00095925404,"about_ca_system_score_gemma":0.00083086407,"threshold_uncertainty_score":0.019564867},"labels":[],"label_agreement":null},{"id":"W1989883139","doi":"10.1016/s0141-9331(00)00078-8","title":"A quantitative study for Java microprocessor architectural requirements. Part II: high-level language support","year":2000,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":22,"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 Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Real time Java; Java; Programming language; Java annotation; Java Modeling Language; Bytecode; Java concurrency; Generics in Java; strictfp; Interpreter; Operating system; Java applet; Set (abstract data type); Architecture; Computer architecture","score_opus":0.0343077919047636,"score_gpt":0.29023078624619514,"score_spread":0.2559229943414315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989883139","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":[0.92492396,0.0015592758,0.053154167,0.00040423597,0.00002411998,0.00019244682,0.0010086739,0.0006987383,0.018034382],"genre_scores_gemma":[0.9791332,0.00019163436,0.018008035,0.00006716794,0.00001645034,0.00014654941,0.000701278,0.00016909288,0.0015666703],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959133,0.0008552632,0.0002578442,0.00029078755,0.002301518,0.00038118428],"domain_scores_gemma":[0.94177604,0.045302402,0.0032838606,0.0021734282,0.006934551,0.00052970654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003031241,0.00042977574,0.00028412623,0.0015633686,0.00040735657,0.0011069656,0.0010387369,0.0005244491,0.0043735616],"category_scores_gemma":[0.02505206,0.00030462665,0.00044369086,0.0015089178,0.0004513218,0.0025176923,0.00047171343,0.0007760023,0.0007399015],"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":[0.0026775093,0.0011640296,0.090003505,0.0025545561,0.0001751259,0.0005710312,0.0017824044,0.06136337,0.50974107,0.024582723,0.005636978,0.29974768],"study_design_scores_gemma":[0.00024213258,0.004306232,0.19874528,0.0002723032,0.00045856147,0.0021616132,0.0034716008,0.36783436,0.38541818,0.014196016,0.022722038,0.00017166235],"about_ca_topic_score_codex":0.0013070549,"about_ca_topic_score_gemma":0.0022259366,"teacher_disagreement_score":0.0043735616,"about_ca_system_score_codex":0.000941917,"about_ca_system_score_gemma":0.0009734932,"threshold_uncertainty_score":0.016030908},"labels":[],"label_agreement":null},{"id":"W1990491009","doi":"10.1016/j.micpro.2004.03.013","title":"FPGA implementation and experimental evaluation of a multizone network cache","year":2004,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University; University of Alberta","funders":"","keywords":"Computer science; Cache; Field-programmable gate array; Network packet; Virtex; Process (computing); Embedded system; Lookup table; Cache algorithms; CPU cache; Operating system; Computer network","score_opus":0.01715768079153326,"score_gpt":0.29134430091755104,"score_spread":0.2741866201260178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990491009","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":[0.93464804,0.00095684576,0.05012374,0.0002318426,0.00017692948,0.00017404246,0.0006790383,0.0033492404,0.009660178],"genre_scores_gemma":[0.9778136,0.0001831153,0.019359207,0.000033180342,0.0000106819125,0.00003861425,0.000260892,0.00006049517,0.0022400853],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974626,0.000057701498,0.000017516923,0.00003612576,0.000089987225,0.000052375875],"domain_scores_gemma":[0.9991912,0.0002563152,0.000085869004,0.00014884297,0.00026496802,0.000052755095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037252775,0.000327863,0.0003198875,0.00055744685,0.00039339907,0.00047093662,0.0011072641,0.00036123052,0.0063070506],"category_scores_gemma":[0.0011016489,0.00019498,0.0001279811,0.00065250584,0.00016148727,0.000626604,0.00016086377,0.00023763189,0.00039623433],"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":[0.008887968,0.0015308909,0.014177362,0.0015475295,0.00035207855,0.0010268011,0.000355835,0.16958861,0.53447264,0.009647048,0.011257862,0.2471553],"study_design_scores_gemma":[0.000818471,0.005870787,0.008948577,0.000082757135,0.00025703077,0.0008131328,0.00015599577,0.388174,0.57609296,0.0006000827,0.018120436,0.00006580655],"about_ca_topic_score_codex":0.0026317942,"about_ca_topic_score_gemma":0.0045028212,"teacher_disagreement_score":0.0063070506,"about_ca_system_score_codex":0.00066329644,"about_ca_system_score_gemma":0.0005516883,"threshold_uncertainty_score":0.02109915},"labels":[],"label_agreement":null},{"id":"W1993678142","doi":"10.1016/j.micpro.2005.09.001","title":"FPGA-Based adaptive digital predistortion for radio-over-fiber links","year":2005,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Predistortion; Computer science; Field-programmable gate array; Radio over fiber; Distortion (music); Wireless; Electronic engineering; Nonlinear distortion; Dynamic range; Software-defined radio; Base station; Computer hardware; Telecommunications; Amplifier; Bandwidth (computing)","score_opus":0.008195313526924385,"score_gpt":0.20761497098481826,"score_spread":0.1994196574578939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993678142","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":[0.39799199,0.002581587,0.5483156,0.00042449383,0.000662707,0.0002144491,0.00030049434,0.010474957,0.03903378],"genre_scores_gemma":[0.907988,0.0003405784,0.08429547,0.00012410994,0.00005006926,0.000039769777,0.000121647114,0.00006230441,0.006978013],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990714,0.000021236483,0.000004961352,0.000015951313,0.000031499767,0.000019138051],"domain_scores_gemma":[0.9998597,0.000058534086,0.000014550776,0.000017220302,0.000042458094,0.00000759007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332532,0.00030813972,0.0001289819,0.00033983527,0.00021582385,0.00036758903,0.0003770266,0.00018913475,0.004071207],"category_scores_gemma":[0.00033939496,0.00012300596,0.00007857579,0.00017719467,0.00009782532,0.00023859175,0.00011638441,0.00026989542,0.00049096474],"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":[0.0014476657,0.00015510885,0.0022376918,0.00037591674,0.00009755798,0.0005012431,0.00015844258,0.076332405,0.2960557,0.006990631,0.00864423,0.6070034],"study_design_scores_gemma":[0.00024576197,0.0010072406,0.005011665,0.000079785554,0.00012799937,0.00094701076,0.00006939469,0.52607304,0.4318188,0.001607219,0.032954928,0.00005712369],"about_ca_topic_score_codex":0.0018498923,"about_ca_topic_score_gemma":0.004454755,"teacher_disagreement_score":0.004071207,"about_ca_system_score_codex":0.00028925488,"about_ca_system_score_gemma":0.0003013791,"threshold_uncertainty_score":0.013619542},"labels":[],"label_agreement":null},{"id":"W2010285338","doi":"10.1016/j.micpro.2013.09.002","title":"Boosting performance of transactional memory through O-GEHL predictors","year":2013,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"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","keywords":"Computer science; Transactional memory; Exploit; Software transactional memory; Benchmark (surveying); Boosting (machine learning); Consistency model; Distributed computing; Parallel computing; Embedded system; Database; Database transaction; Data consistency; Computer security; Artificial intelligence","score_opus":0.006239108056967694,"score_gpt":0.18838036810676392,"score_spread":0.18214126004979622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010285338","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":[0.85094637,0.0034545013,0.12906913,0.0006832268,0.00034913304,0.000029703022,0.00012541722,0.003486115,0.011856375],"genre_scores_gemma":[0.98548466,0.00023440336,0.011349013,0.00008691057,0.00006417967,0.000010347352,0.00006854028,0.00004544628,0.0026566081],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998253,0.00004076,0.0000066780376,0.000024229019,0.000051670973,0.00005131896],"domain_scores_gemma":[0.9991714,0.00039983547,0.00007264308,0.00010281176,0.00018294195,0.00007043864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035255303,0.00035351914,0.0003168692,0.00035942436,0.0002506932,0.00053867034,0.0006678938,0.00031307782,0.0031281714],"category_scores_gemma":[0.0019419573,0.00014623483,0.00009010476,0.0004624832,0.0002177291,0.0007790379,0.0005500763,0.00064633664,0.0005959367],"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":[0.00343104,0.000672489,0.014945569,0.0001859905,0.00008269572,0.00020143384,0.00012027327,0.1982124,0.0756772,0.0089222975,0.010247371,0.6873013],"study_design_scores_gemma":[0.00006854083,0.0006182657,0.0016884503,0.000018887307,0.000040393108,0.000055013425,0.00004588415,0.9501155,0.042193316,0.0029522458,0.0021861687,0.000017211249],"about_ca_topic_score_codex":0.0008515072,"about_ca_topic_score_gemma":0.0026276507,"teacher_disagreement_score":0.0031281714,"about_ca_system_score_codex":0.00017436619,"about_ca_system_score_gemma":0.0005457872,"threshold_uncertainty_score":0.0104647875},"labels":[],"label_agreement":null},{"id":"W2014833562","doi":"10.1016/j.micpro.2005.12.002","title":"Verification and fault synthesis algorithm at switch-level","year":2006,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; High-level synthesis; Algorithm; Fault (geology); Parallel computing; Embedded system; Field-programmable gate array","score_opus":0.011824340861005712,"score_gpt":0.1967037298490825,"score_spread":0.1848793889880768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014833562","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":[0.035816938,0.00011892452,0.9553934,0.00017851051,0.000057352652,0.00014054317,0.00029181465,0.004053113,0.003949502],"genre_scores_gemma":[0.65186733,0.00010554958,0.34295428,0.00020639763,0.00004032763,0.00018447117,0.0008093496,0.00024837872,0.0035838888],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993467,0.00012772392,0.000044407265,0.00015637456,0.00021132492,0.00011349421],"domain_scores_gemma":[0.9992299,0.00036671004,0.000048789025,0.0001616274,0.00017716203,0.000015793323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006237074,0.00069474726,0.0005182459,0.00076834747,0.00047446316,0.0008412099,0.0011608973,0.0007276152,0.009760431],"category_scores_gemma":[0.001837535,0.00028413653,0.00085394026,0.00037589576,0.00046538294,0.0010493547,0.00073666614,0.00055655604,0.0010339391],"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":[0.0010112645,0.000240677,0.0028583475,0.00075135176,0.00020113938,0.0006437132,0.00022198989,0.29068044,0.11647865,0.09287389,0.0071349014,0.48690367],"study_design_scores_gemma":[0.00021105839,0.00033035228,0.0007968087,0.000056462526,0.00017333198,0.00022530284,0.00005704729,0.84055394,0.10277542,0.048779424,0.006011276,0.000029604384],"about_ca_topic_score_codex":0.002248657,"about_ca_topic_score_gemma":0.002375305,"teacher_disagreement_score":0.009760431,"about_ca_system_score_codex":0.0006580346,"about_ca_system_score_gemma":0.0015621687,"threshold_uncertainty_score":0.0326519},"labels":[],"label_agreement":null},{"id":"W2021958199","doi":"10.1016/j.micpro.2011.05.008","title":"Universal bridge interface for DVP-compatible image sensors","year":2011,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":7,"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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Computer science; Microcontroller; Pixel; Computer hardware; VHDL; Random access; Interface (matter); Field-programmable gate array; Image sensor; Image compression; Image processing; Embedded system; Artificial intelligence; Image (mathematics)","score_opus":0.016671268050026423,"score_gpt":0.21437056449659717,"score_spread":0.19769929644657075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021958199","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":[0.14175491,0.0018233883,0.7743738,0.00056278193,0.0007148381,0.0006680769,0.0016755881,0.025735214,0.05269142],"genre_scores_gemma":[0.74320906,0.000729039,0.17149755,0.0012490291,0.00026500045,0.000759091,0.0031235598,0.0022799012,0.07688777],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934536,0.00008491059,0.00003641151,0.00013657253,0.00030406466,0.00009271636],"domain_scores_gemma":[0.9993303,0.00013224964,0.000044598833,0.00015944749,0.00027474176,0.00005882052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007444971,0.0004532097,0.00049229333,0.0008311931,0.00040072258,0.0008196314,0.002261495,0.0006771901,0.027665619],"category_scores_gemma":[0.0020972355,0.0003141551,0.00017399249,0.0007118749,0.0002546643,0.0013823188,0.0013742206,0.0006926103,0.00587522],"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":[0.0011863827,0.00026799238,0.0018504024,0.0007286167,0.000034170116,0.00040667027,0.0006089618,0.00074917113,0.5523819,0.025436547,0.052631915,0.3637173],"study_design_scores_gemma":[0.00018160298,0.00084079744,0.004153787,0.00013270085,0.000061448176,0.0020686968,0.00017783877,0.03345157,0.73048264,0.006239996,0.22212486,0.0000840389],"about_ca_topic_score_codex":0.00033901824,"about_ca_topic_score_gemma":0.00049611134,"teacher_disagreement_score":0.027665619,"about_ca_system_score_codex":0.00041597313,"about_ca_system_score_gemma":0.00035840794,"threshold_uncertainty_score":0.092550695},"labels":[],"label_agreement":null},{"id":"W2029075328","doi":"10.1016/j.micpro.2014.11.005","title":"Statically adaptive multi FIFO buffer architecture for network on chip","year":2014,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Interconnection Networks and Systems","field":"Computer 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":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; FIFO (computing and electronics); Network packet; Router; Virtual channel; Network on a chip; Latency (audio); Embedded system; Parallel computing; Channel (broadcasting); Operating system","score_opus":0.014687958709174016,"score_gpt":0.23029006767872887,"score_spread":0.21560210896955484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029075328","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":[0.1922061,0.0065974565,0.77840835,0.0005157233,0.0009930361,0.00014171306,0.00050416926,0.007380146,0.013253329],"genre_scores_gemma":[0.8907422,0.0006833377,0.09554258,0.00031212825,0.00012015256,0.000076678596,0.00044070688,0.00011042771,0.011971811],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999821,0.00002100917,0.000013693555,0.00005317934,0.00005078349,0.000040294486],"domain_scores_gemma":[0.9996921,0.00005137186,0.000036132555,0.000060282666,0.00013722383,0.000023057624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023970447,0.00039220642,0.00028957715,0.00054201676,0.0005303439,0.00069268787,0.0018055841,0.00034336053,0.003980513],"category_scores_gemma":[0.0005110245,0.00021479616,0.00015119756,0.00043057802,0.00017523623,0.0010374848,0.00043927203,0.00045790526,0.0005216644],"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":[0.0016136102,0.00031264307,0.0040083965,0.0004843516,0.00012364193,0.00033096562,0.00023811978,0.05176296,0.32020482,0.026764518,0.020897137,0.5732589],"study_design_scores_gemma":[0.00012101843,0.0010781072,0.002495847,0.000075468524,0.00021584835,0.0005888309,0.000105940904,0.72861797,0.22736225,0.010154254,0.029096002,0.00008840541],"about_ca_topic_score_codex":0.0024915743,"about_ca_topic_score_gemma":0.0055227084,"teacher_disagreement_score":0.003980513,"about_ca_system_score_codex":0.0006544109,"about_ca_system_score_gemma":0.0008064854,"threshold_uncertainty_score":0.0133161545},"labels":[],"label_agreement":null},{"id":"W2030413992","doi":"10.1016/j.micpro.2013.03.003","title":"High performance scalable elliptic curve cryptosystem processor for Koblitz curves","year":2013,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":24,"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 Saskatchewan","funders":"","keywords":"Computer science; Elliptic curve cryptography; Scalability; NIST; Field-programmable gate array; Elliptic Curve Digital Signature Algorithm; Lookup table; Elliptic curve; Elliptic curve point multiplication; Cryptography; Parallel computing; Arithmetic; Computer hardware; Clock rate; Embedded system; Algorithm; Public-key cryptography; Encryption; Operating system; Mathematics; Chip","score_opus":0.006696608146247947,"score_gpt":0.19538096837374205,"score_spread":0.1886843602274941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030413992","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":[0.6854699,0.0046572243,0.20968308,0.0016656312,0.0005834149,0.00035454932,0.0012025133,0.019022578,0.07736107],"genre_scores_gemma":[0.91812027,0.0006329575,0.063517794,0.00020677905,0.00010428895,0.00010332659,0.0011495386,0.00024410622,0.015920885],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998018,0.000018678318,0.000012305483,0.000044008495,0.00007212187,0.000051154017],"domain_scores_gemma":[0.99982244,0.000026899947,0.000014891278,0.000041512423,0.00007124966,0.000023036628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019935907,0.00060587586,0.00047093933,0.00089939067,0.0005178487,0.0007579308,0.0008315698,0.00032777016,0.016165297],"category_scores_gemma":[0.00052745984,0.0001947149,0.00021102245,0.00082418055,0.00021900122,0.0017362358,0.0007556652,0.000551013,0.0028372868],"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":[0.0033964922,0.0005296225,0.0041769245,0.00068325555,0.00016395898,0.0010145509,0.0004266246,0.020630352,0.45904547,0.045386042,0.057306398,0.4072402],"study_design_scores_gemma":[0.0009090748,0.0014608984,0.0046782265,0.0001953887,0.00027614488,0.0011272246,0.0004127367,0.31510377,0.55065376,0.02786033,0.097167194,0.00015518018],"about_ca_topic_score_codex":0.00095265405,"about_ca_topic_score_gemma":0.0016008386,"teacher_disagreement_score":0.016165297,"about_ca_system_score_codex":0.00066154514,"about_ca_system_score_gemma":0.00078344473,"threshold_uncertainty_score":0.05407828},"labels":[],"label_agreement":null},{"id":"W2083492020","doi":"10.1016/s0141-9331(03)00091-7","title":"Surfing: a robust form of wave pipelining using self-timed circuit techniques","year":2003,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":13,"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 British Columbia","funders":"","keywords":"Computer science; Pipeline (software); Software pipelining; Pulse (music); Parallel computing; Simple (philosophy); Algorithm; Bounded function; Electronic engineering; Telecommunications; Mathematics","score_opus":0.02120915810846334,"score_gpt":0.19792685888800957,"score_spread":0.17671770077954624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083492020","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":[0.026400454,0.00028888622,0.9647628,0.00008943092,0.0001048481,0.00007078928,0.000054163713,0.0027253183,0.0055031762],"genre_scores_gemma":[0.5212667,0.0004382022,0.4643928,0.00022186845,0.00010195991,0.00011127673,0.0001833557,0.00056230096,0.012721517],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996904,0.000041970263,0.00002203223,0.000061830884,0.00014871452,0.0000350854],"domain_scores_gemma":[0.99961567,0.000101149315,0.00006667937,0.00013913603,0.00005467405,0.000022632184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003850864,0.0005167454,0.00036572613,0.0004575466,0.00030090453,0.00064255873,0.0011341857,0.00039099916,0.0030053458],"category_scores_gemma":[0.0010372872,0.0002802671,0.0003197174,0.00045768247,0.0005933956,0.0011538392,0.00078969926,0.0006048866,0.0006492371],"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":[0.0006010383,0.00013098613,0.0006971411,0.00025749565,0.00008816363,0.00036955162,0.00030470235,0.041079685,0.38214982,0.13629058,0.0057258187,0.43230504],"study_design_scores_gemma":[0.00014045126,0.0008160296,0.00043774163,0.00003823667,0.000114502946,0.00058712653,0.000051745465,0.5463056,0.36275846,0.06030307,0.02837739,0.000069601585],"about_ca_topic_score_codex":0.0003083113,"about_ca_topic_score_gemma":0.00062352704,"teacher_disagreement_score":0.0030053458,"about_ca_system_score_codex":0.00019250868,"about_ca_system_score_gemma":0.0003842791,"threshold_uncertainty_score":0.010053933},"labels":[],"label_agreement":null},{"id":"W2116249769","doi":"10.1016/j.micpro.2014.06.007","title":"Improved GPU SIMD control flow efficiency via hybrid warp size mechanism","year":2014,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Parallel Computing and Optimization Techniques","field":"Computer 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 Saskatchewan","funders":"","keywords":"SIMD; Computer science; Speedup; Parallel computing; Overhead (engineering); Throughput; Control flow; Operating system","score_opus":0.003633445180697968,"score_gpt":0.19559402237744417,"score_spread":0.1919605771967462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116249769","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":[0.32132468,0.0010251817,0.6421374,0.00047877748,0.00031065193,0.00010224916,0.0002684922,0.008077221,0.02627545],"genre_scores_gemma":[0.86341625,0.00012323406,0.1303004,0.00014872254,0.000055995213,0.00008991508,0.00013125806,0.00044017527,0.005294038],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999846,0.000021463993,0.000008225695,0.000035451376,0.00005998265,0.000028865614],"domain_scores_gemma":[0.99961436,0.000079820704,0.000037629845,0.00015270943,0.00008291005,0.0000325372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018112583,0.00052849425,0.0003593815,0.00053593225,0.00038340784,0.0005316845,0.0010371163,0.000338416,0.006731012],"category_scores_gemma":[0.0007400823,0.0002630188,0.00021040806,0.0006829564,0.0003219033,0.0011049281,0.0007766123,0.00056657696,0.0005851402],"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":[0.002006679,0.00048590844,0.0018136444,0.0002530229,0.0001032106,0.00024249857,0.00020990524,0.10890514,0.45432058,0.058664598,0.013569657,0.35942525],"study_design_scores_gemma":[0.00014521267,0.00024006933,0.00084364944,0.000014628005,0.000033851313,0.000103471975,0.00002843827,0.8151375,0.16955167,0.0056588226,0.00820969,0.000032854496],"about_ca_topic_score_codex":0.0008146348,"about_ca_topic_score_gemma":0.0012125445,"teacher_disagreement_score":0.006731012,"about_ca_system_score_codex":0.00035130195,"about_ca_system_score_gemma":0.0004064173,"threshold_uncertainty_score":0.022517443},"labels":[],"label_agreement":null},{"id":"W2300226053","doi":"10.1016/j.micpro.2016.02.013","title":"Parallelization of scalable elliptic curve cryptosystem processors in GF (2 m )","year":2016,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":13,"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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Parallel computing; Scalability; Elliptic curve; GF(2); Cryptosystem; Elliptic curve point multiplication; Algorithm; Cryptography; Operating system; Discrete mathematics; Finite field; Mathematics","score_opus":0.005634894004171119,"score_gpt":0.19922009293166104,"score_spread":0.19358519892748993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300226053","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":[0.7941567,0.0014776284,0.13938616,0.000865093,0.00055590493,0.00025845104,0.0006533363,0.010094974,0.052551802],"genre_scores_gemma":[0.92054355,0.00024399614,0.06603378,0.00013555793,0.00006811096,0.00012261631,0.0006676784,0.0002556131,0.011929071],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99967396,0.000049394836,0.0000213427,0.00007386303,0.00010065299,0.00008072622],"domain_scores_gemma":[0.999647,0.00008818681,0.000023563367,0.0000860662,0.00012350797,0.00003163096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002507606,0.00079264556,0.0004442961,0.00054507167,0.00051779783,0.00078569993,0.00083042367,0.00028819812,0.011252149],"category_scores_gemma":[0.0009688631,0.00023993793,0.00027883425,0.00090621464,0.00028418854,0.00088425993,0.00043821684,0.0004094,0.0012807217],"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":[0.0042698462,0.0008149323,0.0045753517,0.0005960933,0.00018684815,0.0009539398,0.0004414594,0.19782035,0.26175782,0.029980479,0.046686836,0.45191613],"study_design_scores_gemma":[0.00057360926,0.0008297341,0.0026440788,0.000036203397,0.000071434864,0.0002139612,0.00022770277,0.8017123,0.16192889,0.012607784,0.019111184,0.00004324694],"about_ca_topic_score_codex":0.0035655233,"about_ca_topic_score_gemma":0.0069432626,"teacher_disagreement_score":0.011252149,"about_ca_system_score_codex":0.0010484838,"about_ca_system_score_gemma":0.0012550958,"threshold_uncertainty_score":0.03764212},"labels":[],"label_agreement":null},{"id":"W2951830722","doi":"10.1016/j.micpro.2019.06.008","title":"A TDC-less all-digital phase locked loop for medical implant applications","year":2019,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic Development Board - Singapore; University of New South Wales; University of Ottawa","keywords":"Phase-locked loop; Jitter; Phase noise; Ring oscillator; CMOS; Frequency offset; Computer science; dBc; Digitally controlled oscillator; Capacitive sensing; Linearity; Electronic engineering; Electrical engineering; Materials science; Engineering; Telecommunications; Variable-frequency oscillator","score_opus":0.008974508286201412,"score_gpt":0.26040214049370514,"score_spread":0.25142763220750375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951830722","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":[0.124016866,0.0026440166,0.8457619,0.001000466,0.0012824804,0.00021881475,0.00043947913,0.00539998,0.019235983],"genre_scores_gemma":[0.74578243,0.0006567746,0.22627553,0.0016679062,0.00043918085,0.0001080764,0.00031596213,0.00018113776,0.02457292],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997756,0.000024531691,0.000011797248,0.00006073656,0.00011153938,0.000015813013],"domain_scores_gemma":[0.99981314,0.000047753,0.00002598074,0.000030360023,0.00006355779,0.000019214667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001581802,0.00024612114,0.0002880215,0.00024016359,0.00025374672,0.0005178899,0.0009338506,0.00057098665,0.004299804],"category_scores_gemma":[0.0003514413,0.00012777964,0.00018892909,0.00022755265,0.00017893325,0.00044673143,0.00027120634,0.0004082379,0.0011111705],"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":[0.0006332509,0.00011806312,0.00049782236,0.00022452763,0.00002568235,0.0001958348,0.00007666251,0.0013869395,0.8078295,0.0032742186,0.003112166,0.1826252],"study_design_scores_gemma":[0.00028258355,0.0029397716,0.0035227526,0.000093882205,0.00018559468,0.0044293622,0.000057788093,0.14833997,0.73554194,0.0024365813,0.1020702,0.00009953067],"about_ca_topic_score_codex":0.00036540098,"about_ca_topic_score_gemma":0.0008050953,"teacher_disagreement_score":0.004299804,"about_ca_system_score_codex":0.00024409291,"about_ca_system_score_gemma":0.0004154524,"threshold_uncertainty_score":0.01438421},"labels":[],"label_agreement":null},{"id":"W2994068620","doi":"10.1016/j.micpro.2019.102949","title":"An analytical framework for high-speed hardware particle swarm optimization","year":2019,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Implementation; Particle swarm optimization; Benchmark (surveying); Speedup; Key (lock); Computer engineering; Software; Embedded system; Parallel computing; Computer architecture; Distributed computing; Algorithm; Operating system","score_opus":0.020090199278023475,"score_gpt":0.2989993548084793,"score_spread":0.2789091555304558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994068620","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":[0.0020334849,0.00055854715,0.98684746,0.0002770663,0.00013846348,0.000029873006,0.0000240496,0.000091605834,0.009999461],"genre_scores_gemma":[0.49577376,0.0031000988,0.4777476,0.00033504242,0.00054808834,0.0005020649,0.00014712688,0.00028392058,0.021562288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996637,0.00010311425,0.000011841689,0.000030518793,0.00015721277,0.000033737146],"domain_scores_gemma":[0.99958426,0.00021663596,0.000043084576,0.00003185009,0.00010580441,0.00001832134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079645973,0.00094739243,0.0006995241,0.0007872911,0.00060150074,0.0014034063,0.0016611582,0.0013840286,0.0042752847],"category_scores_gemma":[0.0026641404,0.00048436172,0.0007119275,0.0011454418,0.0010976258,0.0015320947,0.0012173969,0.0014079611,0.0008140862],"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":[0.0000085852,0.000011547527,0.00007109014,0.000050826857,0.000013110882,0.000037215526,0.000026855285,0.8645315,0.00045191348,0.124551184,0.0010159266,0.009230211],"study_design_scores_gemma":[0.000002450957,0.000004055817,0.000017721519,0.0000044703847,0.0000019557476,0.0000060067437,0.0000040040563,0.9870302,0.00005418814,0.011955178,0.0009176131,0.0000021006115],"about_ca_topic_score_codex":0.003886038,"about_ca_topic_score_gemma":0.0030434104,"teacher_disagreement_score":0.0042752847,"about_ca_system_score_codex":0.0009865974,"about_ca_system_score_gemma":0.0012621165,"threshold_uncertainty_score":0.014302254},"labels":[],"label_agreement":null},{"id":"W3169388419","doi":"10.1016/j.micpro.2021.104280","title":"Area and power efficient post-quantum cryptosystem for IoT resource-constrained devices","year":2021,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":39,"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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Computer science; Cryptosystem; Field-programmable gate array; Cryptography; Modular design; Power analysis; Embedded system; Computer security; Operating system","score_opus":0.008653303085412848,"score_gpt":0.21614896748544807,"score_spread":0.20749566440003522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169388419","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":[0.37570173,0.0023630336,0.56852174,0.001760763,0.00032990432,0.00012910199,0.00033055968,0.0006552633,0.050207853],"genre_scores_gemma":[0.96618414,0.00030276654,0.026212558,0.00008577035,0.00003867337,0.000021960881,0.000058183916,0.000018784855,0.0070770667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999851,0.000021213411,0.000007322627,0.000027479042,0.00006105207,0.00003199432],"domain_scores_gemma":[0.99984634,0.000046304405,0.000020799896,0.000039468177,0.00003733413,0.000009675174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016984422,0.0001802573,0.0002387376,0.00018781623,0.0003723474,0.0004812025,0.00034364514,0.00024051513,0.0050703194],"category_scores_gemma":[0.00037696783,0.00009682302,0.00014696605,0.00032422962,0.00030743456,0.00095945573,0.0004484419,0.00042441726,0.0003917584],"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":[0.0011689744,0.00026762031,0.0013198393,0.000441989,0.000083517545,0.00038234072,0.000185163,0.07608866,0.31517863,0.42276955,0.010952767,0.1711609],"study_design_scores_gemma":[0.00013076865,0.0004582899,0.001672125,0.000057170888,0.00006324119,0.0008732188,0.000113056165,0.7340307,0.122618094,0.121574804,0.018356686,0.000051818417],"about_ca_topic_score_codex":0.00021024622,"about_ca_topic_score_gemma":0.00058663957,"teacher_disagreement_score":0.0050703194,"about_ca_system_score_codex":0.00033380536,"about_ca_system_score_gemma":0.00050879753,"threshold_uncertainty_score":0.016961932},"labels":[],"label_agreement":null},{"id":"W4214847524","doi":"10.1016/j.micpro.2022.104487","title":"Template-based mapping of reversible circuits to IBM quantum computers","year":2022,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":2,"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 New Brunswick","funders":"","keywords":"Computer science; Quantum computer; Toffoli gate; Quantum circuit; Realization (probability); Overhead (engineering); Quantum gate; Electronic circuit; IBM; Quantum algorithm; Quantum; Quantum network; Topology (electrical circuits); Computer engineering; Electrical engineering; Physics; Mathematics; Quantum mechanics","score_opus":0.01223140105240527,"score_gpt":0.212387204429228,"score_spread":0.20015580337682273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214847524","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":[0.2985891,0.0008066039,0.6173431,0.00082381355,0.00055537507,0.00021918984,0.0003220398,0.0027377154,0.078602955],"genre_scores_gemma":[0.91089976,0.00037167873,0.074519515,0.00011031308,0.000046752233,0.00010246355,0.0001387943,0.00021149823,0.013599158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982256,0.00004311113,0.00000812854,0.000032738968,0.00006434042,0.000029184475],"domain_scores_gemma":[0.9997466,0.00010067845,0.000017268576,0.000085589454,0.000032719563,0.000017032124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022087406,0.00021167293,0.00030069432,0.0002570101,0.00043438427,0.00064854755,0.000797984,0.0006435242,0.0061332975],"category_scores_gemma":[0.0011949759,0.00016958255,0.0003466326,0.00037757077,0.0005381972,0.00057517743,0.000496736,0.0006454192,0.0009794818],"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":[0.0002444808,0.00013122807,0.00034204774,0.00014178423,0.000025498597,0.00028852848,0.00019141886,0.08465733,0.089041054,0.72485137,0.0034596503,0.0966256],"study_design_scores_gemma":[0.000048246133,0.00018376364,0.00025057886,0.000018472747,0.000019532017,0.0001723148,0.00005112279,0.5685891,0.1452464,0.2711947,0.014190338,0.000035485962],"about_ca_topic_score_codex":0.00051627646,"about_ca_topic_score_gemma":0.00070189073,"teacher_disagreement_score":0.0061332975,"about_ca_system_score_codex":0.00041719465,"about_ca_system_score_gemma":0.00047610744,"threshold_uncertainty_score":0.020517886},"labels":[],"label_agreement":null},{"id":"W4280548669","doi":"10.1016/j.micpro.2022.104563","title":"Measuring the effect of track count and wire segment length on the layout area of switch blocks for tile-based FPGAs","year":2022,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Field-programmable gate array; Block (permutation group theory); Flexibility (engineering); Routing (electronic design automation); Logic block; Metric (unit); Floorplan; Computer hardware; Embedded system; Engineering; Mathematics","score_opus":0.01238930526602027,"score_gpt":0.19411208806279728,"score_spread":0.181722782796777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280548669","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":[0.9931035,0.00023216402,0.0056242933,0.000022332139,0.000013060664,0.000007902988,0.00013912853,0.00021007782,0.0006475609],"genre_scores_gemma":[0.99643034,0.000075409414,0.0028125753,0.000013956925,0.0000063041757,0.0000071809977,0.000107478714,0.000031823558,0.0005149231],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996344,0.000061134975,0.000023929933,0.00009833482,0.00013186227,0.00005030701],"domain_scores_gemma":[0.9964116,0.0021812632,0.00067093165,0.0002644472,0.0003820867,0.0000896615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031203995,0.0003455066,0.00021504247,0.00043368855,0.00018866573,0.00036123293,0.00042172484,0.00033656065,0.0013661959],"category_scores_gemma":[0.0024596036,0.00022627489,0.00019228394,0.0005597536,0.00017549706,0.0005361752,0.0001921914,0.00021589939,0.00025114798],"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":[0.0030364566,0.00017895662,0.0421887,0.00019472912,0.00013515855,0.00028139763,0.00016201726,0.039628506,0.86475253,0.00024115834,0.0003745303,0.04882586],"study_design_scores_gemma":[0.000046214856,0.0035809819,0.10115549,0.000012018672,0.00018213305,0.00048396995,0.00011218013,0.07928796,0.81369627,0.000108875225,0.0012977393,0.00003612263],"about_ca_topic_score_codex":0.0009862023,"about_ca_topic_score_gemma":0.002444211,"teacher_disagreement_score":0.0013661959,"about_ca_system_score_codex":0.00037418728,"about_ca_system_score_gemma":0.00022900221,"threshold_uncertainty_score":0.004570365},"labels":[],"label_agreement":null},{"id":"W4306407446","doi":"10.1016/j.micpro.2022.104710","title":"HARDeNN: Hardware-assisted attack-resilient deep neural network architectures","year":2022,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Embedded system; Artificial neural network; Computer architecture; Computer hardware; Artificial intelligence","score_opus":0.011790275075487699,"score_gpt":0.24149810026452648,"score_spread":0.2297078251890388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306407446","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":[0.030590536,0.0014908807,0.94614226,0.0007825663,0.0004143674,0.000090329646,0.00038187898,0.0100887325,0.010018492],"genre_scores_gemma":[0.7240435,0.00072968553,0.24802111,0.00081301987,0.0001273005,0.00016000977,0.001032182,0.00060798955,0.024465188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996055,0.000066349465,0.000016375696,0.000087766166,0.00015932888,0.00006477664],"domain_scores_gemma":[0.9994696,0.00018035027,0.000053055606,0.00014897561,0.00011387388,0.000034164706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074829214,0.0009451885,0.0005370913,0.00040137774,0.0003123331,0.0008332355,0.0017639407,0.0009184605,0.007124828],"category_scores_gemma":[0.0021277433,0.00036446858,0.0003452471,0.00029271518,0.00067526376,0.0016957669,0.0022199377,0.0021687658,0.001485045],"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":[0.0004207348,0.00018203247,0.0007170286,0.0002330739,0.00013383517,0.00016335158,0.000048297,0.5304035,0.022071771,0.030821158,0.024983417,0.38982186],"study_design_scores_gemma":[0.000013059111,0.000075971766,0.000099542944,0.000013323334,0.0000070560436,0.000034181914,0.0000058190467,0.981838,0.007002746,0.007925584,0.0029746885,0.000009965403],"about_ca_topic_score_codex":0.0013742985,"about_ca_topic_score_gemma":0.0033634733,"teacher_disagreement_score":0.007124828,"about_ca_system_score_codex":0.0006497756,"about_ca_system_score_gemma":0.00080450514,"threshold_uncertainty_score":0.023834944},"labels":[],"label_agreement":null},{"id":"W4327919584","doi":"10.1016/j.micpro.2023.104800","title":"EAM: Ensemble of approximate multipliers for robust DNNs","year":2023,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","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":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Robustness (evolution); Deep neural networks; Transferability; Exploit; Adversarial system; Multiplier (economics); Range (aeronautics); Deep learning; Artificial intelligence; Computer engineering; Machine learning; Computer security","score_opus":0.021347535203661363,"score_gpt":0.25520956410081114,"score_spread":0.23386202889714977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327919584","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":[0.0037859385,0.000390616,0.99361223,0.00007975062,0.000080788945,0.000039510414,0.00011291918,0.0012294356,0.00066891266],"genre_scores_gemma":[0.13714842,0.00039559862,0.85490435,0.00024635534,0.00015023422,0.00028209778,0.00077327056,0.00041014646,0.0056894612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993599,0.00018104888,0.00003706072,0.00016471534,0.00019279832,0.000064571774],"domain_scores_gemma":[0.9990644,0.0003840054,0.00007459731,0.000177413,0.00025011966,0.00004956889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019751978,0.0016263849,0.0013741389,0.00093864265,0.00041803485,0.0009872674,0.0021370791,0.0019873164,0.0058843647],"category_scores_gemma":[0.0045831613,0.00084346975,0.0008633153,0.00083549187,0.00044604315,0.0018020929,0.0019309069,0.0025696738,0.001969371],"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":[0.00024140408,0.000068414614,0.0004202017,0.00011470784,0.00016846301,0.00005880029,0.000034376433,0.5587046,0.0053743003,0.008936076,0.006225103,0.4196535],"study_design_scores_gemma":[0.000008584534,0.000034505687,0.00005233819,0.000009414375,0.0000101518635,0.000018655137,0.000003287468,0.9942356,0.0015748659,0.002863559,0.0011837622,0.0000052724513],"about_ca_topic_score_codex":0.0024746798,"about_ca_topic_score_gemma":0.0050596143,"teacher_disagreement_score":0.0058843647,"about_ca_system_score_codex":0.000645274,"about_ca_system_score_gemma":0.0011888638,"threshold_uncertainty_score":0.019685209},"labels":[],"label_agreement":null},{"id":"W4367187794","doi":"10.1016/j.micpro.2023.104844","title":"Scalable serial hardware architecture of multilayer perceptron neural network for automatic wheezing detection","year":2023,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scalability; Multilayer perceptron; Field-programmable gate array; Computer hardware; Serial communication; Artificial neural network; Chip; Perceptron; Embedded system; Architecture; Computer architecture; Pattern recognition (psychology); Artificial intelligence; Telecommunications","score_opus":0.012892019033309134,"score_gpt":0.26178572342146617,"score_spread":0.24889370438815703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367187794","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":[0.18512873,0.0028358519,0.7757138,0.0006500644,0.0007781221,0.00024327911,0.0010577153,0.014132921,0.019459508],"genre_scores_gemma":[0.81664544,0.00048650705,0.16664554,0.00031296228,0.00010041039,0.00016213724,0.001214415,0.00012617005,0.014306373],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977905,0.000024359075,0.00001760267,0.00007041692,0.000068105226,0.00004044367],"domain_scores_gemma":[0.999803,0.000032077292,0.0000171747,0.000028677248,0.0001059733,0.000013194081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023533835,0.00060066604,0.00037987783,0.0004949426,0.00030008517,0.00052870763,0.0015587505,0.00037576354,0.008952903],"category_scores_gemma":[0.0004773428,0.00028744488,0.00027683962,0.00040632937,0.00012883022,0.00078472274,0.0004193538,0.00038204688,0.0015581101],"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":[0.001400589,0.00042198037,0.005720417,0.0007263423,0.00030609843,0.00041965747,0.00013182165,0.08897882,0.15486929,0.006097421,0.0318644,0.70906323],"study_design_scores_gemma":[0.000111246445,0.0006534433,0.0038078951,0.000044385604,0.00015856548,0.00027114127,0.000054429907,0.9310694,0.051250864,0.0022597725,0.010272335,0.000046558318],"about_ca_topic_score_codex":0.006325738,"about_ca_topic_score_gemma":0.0115397675,"teacher_disagreement_score":0.008952903,"about_ca_system_score_codex":0.00053632545,"about_ca_system_score_gemma":0.00087844074,"threshold_uncertainty_score":0.0299505},"labels":[],"label_agreement":null},{"id":"W4368363263","doi":"10.1016/j.micpro.2023.104843","title":"System-level reliability assessment of optical network on chip","year":2023,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":11,"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 Victoria","funders":"","keywords":"Computer science; Network on a chip; Reliability (semiconductor); Router; Network topology; Chip; Crosstalk; Topology (electrical circuits); Embedded system; Electronic engineering; Computer network; Telecommunications; Electrical engineering; Engineering","score_opus":0.013945856386062558,"score_gpt":0.24443254737034834,"score_spread":0.23048669098428579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368363263","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":[0.95208776,0.0005155748,0.04293143,0.00009602854,0.00003104429,0.000058121346,0.00016516227,0.00034609216,0.0037688091],"genre_scores_gemma":[0.9968927,0.000046622194,0.0024738356,0.000008122378,0.0000046330742,0.000009732159,0.00004826734,0.000011372297,0.00050467707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995363,0.00012039322,0.000013634177,0.0000571136,0.00019964857,0.000072917246],"domain_scores_gemma":[0.9985933,0.00042252798,0.00013715212,0.0001248826,0.00068207324,0.000040081875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050134194,0.0004024047,0.00022903366,0.0006389615,0.00025050732,0.00035771722,0.00044331225,0.0002973404,0.0014003264],"category_scores_gemma":[0.001793821,0.00013236117,0.00024247915,0.0002996272,0.00025719567,0.00050104555,0.0002376432,0.00022288189,0.0001356806],"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":[0.00060098467,0.00017612826,0.025738835,0.00033924755,0.0002404866,0.0002823451,0.00014681416,0.8109442,0.09947486,0.00305927,0.0012714494,0.057725433],"study_design_scores_gemma":[0.0000057407888,0.00044445225,0.006972878,0.000011544981,0.00007453371,0.00006539985,0.000043547207,0.96837324,0.022964148,0.0005817191,0.00045165594,0.0000110809515],"about_ca_topic_score_codex":0.003393376,"about_ca_topic_score_gemma":0.0051018195,"teacher_disagreement_score":0.003393376,"about_ca_system_score_codex":0.00085512875,"about_ca_system_score_gemma":0.00057916663,"threshold_uncertainty_score":0.006747246},"labels":[],"label_agreement":null},{"id":"W4380149175","doi":"10.1016/j.micpro.2023.104893","title":"Resilience and load balancing in Fog networks: A Multi-Criteria Decision Analysis approach","year":2023,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science; Distributed computing; Load balancing (electrical power); Workload; Cloud computing; ELECTRE; Resilience (materials science); Multiple-criteria decision analysis; Operations research; Grid","score_opus":0.012118060049469248,"score_gpt":0.2573984787139455,"score_spread":0.24528041866447625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380149175","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":[0.063283004,0.0010252419,0.92544454,0.0010621934,0.00017738859,0.0004439454,0.00021867643,0.00018954906,0.008155453],"genre_scores_gemma":[0.91572624,0.00057933875,0.07946823,0.00022752146,0.00015059073,0.00037600967,0.00013142113,0.000060677965,0.0032798823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966017,0.0017658354,0.000113246606,0.0004171678,0.0005735067,0.00052857754],"domain_scores_gemma":[0.9946629,0.004189102,0.00037625522,0.00007971056,0.0004359599,0.00025607212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006631054,0.0028284704,0.003911517,0.0034300783,0.0011076723,0.0040615397,0.0026636804,0.003326762,0.0033027926],"category_scores_gemma":[0.006730945,0.0014750726,0.0024354036,0.0021066254,0.0017422248,0.002313906,0.0019835625,0.0021557421,0.00020695418],"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":[0.000055144294,0.000058748457,0.00025019207,0.000068678986,0.0001134198,0.00006100268,0.00002973124,0.99049824,0.00027304748,0.0042135892,0.00027960975,0.004098639],"study_design_scores_gemma":[0.000009442103,0.000049105685,0.00009464701,0.000012012515,0.000027736325,0.0000074052427,0.000023132925,0.9965307,0.00006424605,0.0030671202,0.000105638646,0.000008902807],"about_ca_topic_score_codex":0.013201554,"about_ca_topic_score_gemma":0.0074767014,"teacher_disagreement_score":0.013201554,"about_ca_system_score_codex":0.0035965438,"about_ca_system_score_gemma":0.002868968,"threshold_uncertainty_score":0.03506881},"labels":[],"label_agreement":null},{"id":"W4386071155","doi":"10.1016/j.micpro.2023.104915","title":"Hardware Trojan prevention using memristor technology","year":2023,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":2,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Computer science; Trojan; Hardware Trojan; Hardware security module; Embedded system; Memristor; Controllability; Electronic circuit; Integrated circuit; Isolation (microbiology); Observability; Computer hardware; Computer architecture; Cryptography; Computer security; Electrical engineering; Operating system","score_opus":0.02068632610964066,"score_gpt":0.26293804985223174,"score_spread":0.24225172374259107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386071155","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":[0.80852807,0.0065181646,0.1565501,0.0008976552,0.00044305346,0.00007055819,0.00010274698,0.003709625,0.023180107],"genre_scores_gemma":[0.98726594,0.0006934887,0.008504102,0.00008352798,0.000021716738,0.000007451359,0.000017672935,0.000043547472,0.0033625828],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990547,0.000012148448,0.0000060396615,0.000018578734,0.000032908974,0.000024874445],"domain_scores_gemma":[0.9997403,0.000058751175,0.00008108969,0.00005782058,0.000048849153,0.000013221076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001259645,0.0002311659,0.00017481466,0.0004770083,0.00021124531,0.00031477748,0.00047895082,0.00038822947,0.0021794278],"category_scores_gemma":[0.0005207135,0.00013485999,0.00020292755,0.00014326301,0.0002258606,0.0007380708,0.00036534385,0.0003598685,0.0003604376],"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":[0.00030993865,0.000102803824,0.0018757533,0.00026338015,0.000055130084,0.00038269872,0.00009580351,0.0043173973,0.87355226,0.008869088,0.0012623308,0.10891345],"study_design_scores_gemma":[0.000039610404,0.00071655813,0.0020964139,0.00009841505,0.00007968191,0.0011344064,0.000051326297,0.0440946,0.9399908,0.0031645442,0.0085108485,0.00002280464],"about_ca_topic_score_codex":0.00013373386,"about_ca_topic_score_gemma":0.0002397616,"teacher_disagreement_score":0.0021794278,"about_ca_system_score_codex":0.00012014015,"about_ca_system_score_gemma":0.00015238469,"threshold_uncertainty_score":0.00729084},"labels":[],"label_agreement":null},{"id":"W4412528568","doi":"10.1016/j.micpro.2025.105182","title":"Scala defined hardware generators for Chisel","year":2025,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Embedded Systems Design Techniques","field":"Computer 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":"European Health and Digital Executive Agency; Digital Technology Supercluster","keywords":"Computer science; Scala; Chisel; Parallel computing; Computer hardware; Programming language; Operating system; Java; Mechanical engineering","score_opus":0.007877728583768489,"score_gpt":0.24740006534466336,"score_spread":0.23952233676089488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412528568","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":[0.004015661,0.00017050868,0.9271433,0.00037469776,0.00023135105,0.00024779476,0.0011659691,0.04948051,0.017170219],"genre_scores_gemma":[0.101333,0.0004675958,0.82701945,0.0011324185,0.00021022285,0.0014121094,0.0056534517,0.028112736,0.034659047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984188,0.0002729742,0.00020390903,0.00030328802,0.0005758679,0.00022521199],"domain_scores_gemma":[0.99730694,0.0007518656,0.0002129055,0.0007274174,0.00085209403,0.00014880417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018452072,0.0013507175,0.0005548061,0.0009481307,0.0009778515,0.0024093932,0.002527038,0.0011832037,0.025229357],"category_scores_gemma":[0.005732573,0.0009210005,0.0016546871,0.0008852898,0.0018945752,0.0030132872,0.0026395053,0.003158755,0.012798318],"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":[0.0006709658,0.0002001289,0.0033082329,0.0012036707,0.00011935232,0.0015650564,0.0012913415,0.059194457,0.039174978,0.60417026,0.118509404,0.17059222],"study_design_scores_gemma":[0.00023410068,0.00017241972,0.00068636663,0.00027916615,0.000074514515,0.0010990956,0.00010661016,0.16761637,0.06022411,0.11049584,0.65880495,0.0002065035],"about_ca_topic_score_codex":0.0030335302,"about_ca_topic_score_gemma":0.002962971,"teacher_disagreement_score":0.025229357,"about_ca_system_score_codex":0.0019729892,"about_ca_system_score_gemma":0.0020385745,"threshold_uncertainty_score":0.084400654},"labels":[],"label_agreement":null},{"id":"W4413428685","doi":"10.1016/j.micpro.2025.105192","title":"Qubit-size low-power cryogenic CMOS ICs for monolithic quantum processors","year":2025,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Akademia Górniczo-Hutnicza im. Stanislawa Staszica; Ministerstwo Edukacji i Nauki; University of Toronto; European Commission","keywords":"Computer science; CMOS; Qubit; Quantum; Power (physics); Quantum computer; Optoelectronics; Electrical engineering; Physics; Quantum mechanics","score_opus":0.003770429013505497,"score_gpt":0.22593511976630085,"score_spread":0.22216469075279535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413428685","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":[0.6072325,0.011590975,0.2731616,0.005345676,0.0016993198,0.0005282606,0.0019930436,0.004670281,0.09377844],"genre_scores_gemma":[0.9041089,0.0010524872,0.08278443,0.0004077608,0.00017896164,0.0001181099,0.0004840229,0.0002423712,0.010623],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998628,0.00001638813,0.000004828234,0.000027121174,0.000066971385,0.000021765101],"domain_scores_gemma":[0.99960345,0.000107553344,0.000041446052,0.00006663088,0.0001259154,0.000054960223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025143885,0.00026998422,0.00043463282,0.00024928933,0.00046084548,0.00077295315,0.0011359341,0.00042103956,0.011189057],"category_scores_gemma":[0.00080485595,0.00027303022,0.00016249591,0.00028386794,0.0005165536,0.0015480622,0.00063082814,0.000931604,0.0014189334],"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":[0.00070601475,0.00034149791,0.0016453766,0.00071346015,0.000070814385,0.0003027767,0.00029211259,0.0062094675,0.7861978,0.12366379,0.024981948,0.05487495],"study_design_scores_gemma":[0.00032036402,0.0021146014,0.006748476,0.00021134764,0.00018466108,0.0009073679,0.00035993982,0.120219864,0.7297011,0.028600326,0.110533416,0.000098489],"about_ca_topic_score_codex":0.0005089779,"about_ca_topic_score_gemma":0.0017809981,"teacher_disagreement_score":0.011189057,"about_ca_system_score_codex":0.0007343202,"about_ca_system_score_gemma":0.0008076821,"threshold_uncertainty_score":0.03743106},"labels":[],"label_agreement":null}]}