{"meta":{"query_hash":"93eb47b7416c","filters":{"venue":"ACM SIGARCH Computer Architecture News"},"cohort_total":73,"direct_labels_cover":0,"predictions_cover":73,"exported":73,"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/93eb47b7416c","api":"https://metacan.xera.ac/api/v1/cohort?venue=ACM+SIGARCH+Computer+Architecture+News"},"results":[{"id":"W1978176266","doi":"10.1145/773365.773371","title":"An EGA approach to the compile-time assignment of data to multiple memories in digital-signal processors","year":2003,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Computer science; Compiler; Parallel computing; Dual (grammatical number); Programming language","score_opus":0.03251975303947704,"score_gpt":0.2719346247869187,"score_spread":0.23941487174744167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978176266","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014697551,0.000038013895,0.98021126,0.0032041043,0.00007262148,0.001114289,0.000083014,0.000093200804,0.0004859411],"genre_scores_gemma":[0.49008062,9.248205e-7,0.50888336,0.0006828331,0.00013138952,0.00011053644,0.00006175657,0.000014299684,0.000034259807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99727947,0.00017316299,0.00045782616,0.0009999989,0.0006059731,0.00048356928],"domain_scores_gemma":[0.99590206,0.000504248,0.00009669689,0.003111124,0.00010953597,0.0002763512],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0005466578,0.00027407118,0.0003175564,0.00022058735,0.00020153937,0.00025646706,0.006045704,0.00005544815,0.0000056625595],"category_scores_gemma":[0.00011510548,0.00019961494,0.000054591754,0.0012247296,0.000093356495,0.00056845776,0.0019860968,0.00030515358,0.00003338092],"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":[0.00005362569,0.002227813,0.0037969803,0.00006703531,0.00008169605,0.0000084294725,0.014126611,0.4852534,0.0020192284,0.01135318,0.010854911,0.4701571],"study_design_scores_gemma":[0.0010416441,0.00077190745,0.0121172555,0.0000755655,0.000012483085,0.00008557796,0.0001593498,0.8763291,0.0011998079,0.017625177,0.0897358,0.0008463272],"about_ca_topic_score_codex":0.00004004885,"about_ca_topic_score_gemma":0.00004808758,"teacher_disagreement_score":0.47538307,"about_ca_system_score_codex":0.000047326055,"about_ca_system_score_gemma":0.00016204886,"threshold_uncertainty_score":0.9993321},"labels":[],"label_agreement":null},{"id":"W1987683357","doi":"10.1145/2669594.2669599","title":"BadgerTrap","year":2014,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"National Science Foundation","keywords":"Translation lookaside buffer; Computer science; x86; TRACE (psycholinguistics); Instrumentation (computer programming); Computer architecture; Operating system; Physical address; Software","score_opus":0.011646856404069613,"score_gpt":0.2461383071206598,"score_spread":0.23449145071659017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987683357","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013812828,0.000047878864,0.986119,0.004994854,0.0004991878,0.00021588316,6.5403185e-7,0.0017109474,0.005030331],"genre_scores_gemma":[0.11785774,0.000010540204,0.8765405,0.0047472827,0.0006052017,0.000017371187,0.000006146636,0.000024623743,0.0001906256],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99750566,0.000343428,0.00036433255,0.00077417126,0.00044027224,0.0005721125],"domain_scores_gemma":[0.9968458,0.0006142037,0.000116039766,0.0020781911,0.00010812345,0.00023766786],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004730195,0.00031368158,0.0003216856,0.0003075679,0.00023463192,0.00030828064,0.0035305396,0.00011107543,0.000012691326],"category_scores_gemma":[0.00016063041,0.00027215033,0.00016136274,0.0005503825,0.00007699434,0.00019766751,0.001497038,0.00043219453,0.00008355309],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005915469,0.00006552106,0.0003959157,0.000017675045,0.000024486491,0.000008968606,0.0007262579,0.025147779,0.00022394789,0.023075143,0.019027695,0.9312807],"study_design_scores_gemma":[0.0007090213,0.0005304807,0.0019485791,0.000061032548,0.000007330404,0.00012486252,0.0000014739452,0.6645515,0.0020763099,0.10663827,0.22264226,0.000708862],"about_ca_topic_score_codex":0.000026773274,"about_ca_topic_score_gemma":0.00000870154,"teacher_disagreement_score":0.93057185,"about_ca_system_score_codex":0.00002404345,"about_ca_system_score_gemma":0.000056621673,"threshold_uncertainty_score":0.99997306},"labels":[],"label_agreement":null},{"id":"W2010948088","doi":"10.1145/2641361.2641377","title":"The Ultrasmall soft processor","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Field-programmable gate array; Computer science; Embedded system; Implementation; Key (lock); Multi-core processor; Processor design; Computer architecture; Computer hardware; Core (optical fiber); Parallel computing; Operating system; Telecommunications; Software engineering","score_opus":0.010437208614439171,"score_gpt":0.23601736829508338,"score_spread":0.2255801596806442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010948088","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027463562,0.00017956198,0.97697675,0.016442385,0.00038015094,0.00064598146,6.3113646e-7,0.0012800538,0.001348129],"genre_scores_gemma":[0.12983887,0.00005189092,0.864713,0.004057652,0.0005457712,0.00017184793,0.000004898645,0.000034315006,0.0005817233],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974302,0.00023710518,0.00042357584,0.0006852727,0.0004962897,0.000727566],"domain_scores_gemma":[0.9962885,0.0011748293,0.00015875473,0.0018986638,0.00025826975,0.00022099348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036767023,0.00032724775,0.0002487057,0.00014655486,0.00065370207,0.0010049407,0.0050711627,0.000100664736,0.0000130698845],"category_scores_gemma":[0.00023791207,0.00021133845,0.00014121828,0.00056503335,0.00014706748,0.00031800137,0.0014610144,0.0005310627,0.00017540794],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004782248,0.000053874464,0.00036728263,0.000017470651,0.00003467928,0.000005766184,0.0011680716,0.012014963,0.00022727769,0.0034114516,0.039698537,0.94299585],"study_design_scores_gemma":[0.0008119402,0.000557951,0.0051343846,0.00009194238,0.000010989557,0.00020807059,0.000018205223,0.6349939,0.0028799619,0.17069432,0.18356067,0.0010376216],"about_ca_topic_score_codex":0.00008509484,"about_ca_topic_score_gemma":0.000023760986,"teacher_disagreement_score":0.94195825,"about_ca_system_score_codex":0.00003312787,"about_ca_system_score_gemma":0.00011568987,"threshold_uncertainty_score":0.9690667},"labels":[],"label_agreement":null},{"id":"W2038724983","doi":"10.1145/373574.373578","title":"Multiprocessor enhancements of the SimpleScalar tool set","year":2001,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Uniprocessor system; Computer science; Multiprocessing; Parallel computing; Thread (computing); Suite; Symmetric multiprocessor system; Cache; MESI protocol; Operating system; CPU cache; Cache coloring","score_opus":0.018544171035007627,"score_gpt":0.2712269902411761,"score_spread":0.2526828192061685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038724983","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051865082,0.00006252346,0.94418544,0.0023970294,0.00031228506,0.00041390033,0.0000035039116,0.00035736914,0.00040287984],"genre_scores_gemma":[0.5248951,0.000031542924,0.4729848,0.0017294893,0.00018148503,0.000021247693,0.0000045628362,0.000017312697,0.00013446617],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976617,0.0002370048,0.00048623953,0.0005775466,0.00057283527,0.0004646506],"domain_scores_gemma":[0.9972507,0.0003394782,0.0002375066,0.0019087209,0.00017061808,0.00009301178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031706062,0.00027479674,0.00030576528,0.00015774895,0.00022398241,0.00010880693,0.0041203345,0.00009225922,0.000012787408],"category_scores_gemma":[0.00016489429,0.0001920666,0.00018142692,0.00083651335,0.000109695546,0.00016693881,0.0021981164,0.0003585691,0.000011352747],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004108698,0.00026606154,0.0129699875,0.00008679906,0.00010083055,0.000020716801,0.0040916447,0.082659565,0.0029033765,0.002058595,0.011160395,0.88364094],"study_design_scores_gemma":[0.0028518366,0.00083549204,0.028188903,0.0004580749,0.00003954492,0.00028930538,0.000019867744,0.7148607,0.054088816,0.052988686,0.14384708,0.0015317135],"about_ca_topic_score_codex":0.000040269904,"about_ca_topic_score_gemma":0.000016503123,"teacher_disagreement_score":0.8821092,"about_ca_system_score_codex":0.0000318273,"about_ca_system_score_gemma":0.000095526964,"threshold_uncertainty_score":0.7832249},"labels":[],"label_agreement":null},{"id":"W2044274432","doi":"10.1145/1147349.1147358","title":"Hiding message delivery and reducing memory access latency by providing direct-to-cache transfer during receive operations in a message passing environment","year":2005,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Cache; Copying; Cache invalidation; Message passing; Latency (audio); Computer network; Thread (computing); Cache pollution; False sharing; Cache algorithms; Bus sniffing; CPU cache; Distributed computing; Parallel computing; Operating system; Telecommunications","score_opus":0.013718841968434082,"score_gpt":0.24614041599290093,"score_spread":0.23242157402446684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044274432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2769884,0.00036760292,0.7169858,0.004237403,0.000084047875,0.00064412755,0.000003913061,0.00034669854,0.000342027],"genre_scores_gemma":[0.63288057,0.00016806553,0.36591607,0.0006496515,0.00017074522,0.00005486244,0.000006987192,0.000035410325,0.00011762524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965651,0.0004442789,0.0006295884,0.0012143039,0.00043710048,0.00070961996],"domain_scores_gemma":[0.99834836,0.00034710902,0.00006653277,0.00092113065,0.000042209896,0.000274665],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005819775,0.00044043432,0.00045729973,0.000577675,0.00047152909,0.00072076125,0.0017590414,0.00013621684,0.000012512568],"category_scores_gemma":[0.00007032014,0.0004274758,0.000093535076,0.00058875955,0.00006816315,0.0009071191,0.0015792818,0.00062441826,0.000008206647],"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":[0.000024056342,0.00012898893,0.0005891035,0.00005887637,0.00003976247,0.000033793916,0.012246369,0.6785186,0.022030184,0.000051624138,0.0007096359,0.28556904],"study_design_scores_gemma":[0.0017636222,0.00025300382,0.0037793866,0.00079414324,0.00002972541,0.00010975253,0.00005190894,0.9088737,0.07910317,0.0003965293,0.003416731,0.0014283485],"about_ca_topic_score_codex":0.00017692815,"about_ca_topic_score_gemma":0.00007606439,"teacher_disagreement_score":0.35589218,"about_ca_system_score_codex":0.0002317151,"about_ca_system_score_gemma":0.00007847601,"threshold_uncertainty_score":0.9998177},"labels":[],"label_agreement":null},{"id":"W2063332842","doi":"10.1145/563519.563521","title":"More enhancements of the simplescalar tool set","year":2001,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Uniprocessor system; Computer science; Debugger; Compiler; Instruction set; Set (abstract data type); Assembly language; Programming language; Computer architecture; Multiprocessing; Software; Operating system; Debugging","score_opus":0.021292697936571035,"score_gpt":0.2623188377916414,"score_spread":0.24102613985507035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063332842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.246756,0.000058603433,0.7485743,0.003385199,0.00037464374,0.0002796211,0.000004406642,0.00013500005,0.00043222777],"genre_scores_gemma":[0.9646805,0.0000109977145,0.03184933,0.0029344852,0.0003936337,0.0000133029025,0.000004735046,0.000018883062,0.000094127834],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99762297,0.00018333587,0.0004349603,0.0005660455,0.00063200394,0.00056069513],"domain_scores_gemma":[0.9971929,0.0004263037,0.00018132098,0.0019866745,0.000101723934,0.0001110671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027576197,0.0002661678,0.00029899614,0.00012391018,0.0002279872,0.000103104896,0.003953747,0.000072228584,0.00001720018],"category_scores_gemma":[0.00017939013,0.00018225664,0.0002111254,0.00079796405,0.000125707,0.00016986411,0.0019958427,0.0004106861,0.000016666216],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015103293,0.000068125715,0.02280027,0.000031149302,0.000042817464,0.000030412419,0.0025230825,0.0028819598,0.0044006286,0.00067931216,0.0016506384,0.9648901],"study_design_scores_gemma":[0.005507367,0.0015481989,0.39500162,0.0012591546,0.00012993203,0.0017564857,0.00014488958,0.22859254,0.03470248,0.113884285,0.21385853,0.003614524],"about_ca_topic_score_codex":0.00006976552,"about_ca_topic_score_gemma":0.00003339495,"teacher_disagreement_score":0.9612756,"about_ca_system_score_codex":0.000031234133,"about_ca_system_score_gemma":0.00010185337,"threshold_uncertainty_score":0.74322104},"labels":[],"label_agreement":null},{"id":"W2071868606","doi":"10.1145/966809.966810","title":"Aliasing and anti-aliasing in branch history table prediction","year":2003,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Aliasing; Computer science; Table (database); Algorithm; Branch predictor; Lookup table; Parallel computing; Artificial intelligence; Data mining; Programming language","score_opus":0.016755893335476606,"score_gpt":0.23465371928432877,"score_spread":0.21789782594885215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071868606","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035979174,0.00072910875,0.9598989,0.0005666414,0.0006318732,0.0002799881,0.0000011618189,0.0005593847,0.0013537694],"genre_scores_gemma":[0.3830012,0.00006355223,0.6156743,0.001002947,0.00013738613,0.000011917658,0.000004667683,0.000023087188,0.00008092154],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975599,0.0004186313,0.00041921125,0.000760433,0.00032617638,0.0005156169],"domain_scores_gemma":[0.99846184,0.00028763418,0.00012331373,0.000902855,0.000072701805,0.00015163142],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00061418815,0.00028145645,0.00034006778,0.00046476696,0.00015620775,0.00016728726,0.0008673716,0.00012390956,0.000007349566],"category_scores_gemma":[0.0001651385,0.00028125691,0.000057137087,0.0005236849,0.00008992264,0.00034773286,0.00047580164,0.00046047187,0.0000036152119],"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":[0.000030757266,0.00040217204,0.04482674,0.00020206989,0.00008269556,0.0001270674,0.015713263,0.22332644,0.005039065,0.0152314855,0.02723198,0.66778624],"study_design_scores_gemma":[0.003407208,0.000563014,0.028702354,0.00064500683,0.000024986215,0.00089237187,0.000027163727,0.64142376,0.005763269,0.04759204,0.26924303,0.0017157841],"about_ca_topic_score_codex":0.000114501985,"about_ca_topic_score_gemma":0.00002360121,"teacher_disagreement_score":0.66607046,"about_ca_system_score_codex":0.00017889125,"about_ca_system_score_gemma":0.00015250372,"threshold_uncertainty_score":0.99996394},"labels":[],"label_agreement":null},{"id":"W2072076019","doi":"10.1145/1294313.1294319","title":"Custom code generation for soft processors","year":2007,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Compiler; Field-programmable gate array; Suite; Embedded system; Computer architecture; Personalization; Code (set theory); Software; Parallel computing; Operating system; Programming language","score_opus":0.027673142010535876,"score_gpt":0.2944678403683487,"score_spread":0.26679469835781283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072076019","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038706656,0.000093094335,0.9905469,0.0026647865,0.0005499628,0.0007207269,0.0000042945794,0.0011867658,0.00036284796],"genre_scores_gemma":[0.1118576,0.000007720822,0.88422483,0.0025078242,0.0011438961,0.00004596837,0.000030951585,0.000031197254,0.00014999417],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974901,0.000091698406,0.0004911034,0.0008321755,0.0004187759,0.0006761451],"domain_scores_gemma":[0.9975451,0.00060541515,0.00018027356,0.0011779652,0.00028122714,0.00020997573],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009167449,0.00031481913,0.00029328183,0.00036212342,0.0003540592,0.0002864856,0.0022537783,0.00014694383,0.0000032948776],"category_scores_gemma":[0.00020805017,0.00028387844,0.00015420462,0.000546819,0.00006416329,0.00024240259,0.0006834716,0.0003137676,0.000012181419],"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":[0.00003401348,0.000116296214,0.0002759513,0.000053923413,0.000040331368,0.00001280609,0.0023915945,0.07709023,0.0021708068,0.005425131,0.025837455,0.88655144],"study_design_scores_gemma":[0.00083260424,0.00045794217,0.00035773945,0.000041754854,0.000010844678,0.00006760695,0.000004917984,0.884877,0.013689313,0.019773502,0.07930667,0.00058006134],"about_ca_topic_score_codex":0.000015713971,"about_ca_topic_score_gemma":0.000072445575,"teacher_disagreement_score":0.88597137,"about_ca_system_score_codex":0.000060995924,"about_ca_system_score_gemma":0.00012358736,"threshold_uncertainty_score":0.9999613},"labels":[],"label_agreement":null},{"id":"W2072283196","doi":"10.1145/563647.563649","title":"Adapting Tomasulo's algorithm for bytecode folding based Java processors","year":2001,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Bytecode; Java; Java bytecode; Java concurrency; Programming language; Java annotation; Parallel computing; Real time Java; Java applet; Java Modeling Language; Generics in Java; Scala; strictfp; Algorithm","score_opus":0.02199764078528948,"score_gpt":0.27439504145387844,"score_spread":0.25239740066858896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072283196","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012790061,0.00014152526,0.9913944,0.0034871544,0.00042757316,0.00085066864,0.0000055405394,0.001945589,0.0004685599],"genre_scores_gemma":[0.031749118,0.000015512911,0.9646499,0.002539141,0.0007124901,0.00013376142,0.00002176096,0.00005549062,0.00012281098],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965789,0.00019604102,0.00059566536,0.0011280617,0.00054845534,0.0009529254],"domain_scores_gemma":[0.9966901,0.0010266089,0.0002602948,0.0014590912,0.00029170985,0.00027222058],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006971452,0.0004779767,0.0004681757,0.0004906057,0.0005101974,0.00045541456,0.0032810073,0.00016889272,0.000008756569],"category_scores_gemma":[0.0002300038,0.0004457011,0.00026603794,0.00093080476,0.00006941574,0.0003218134,0.0009802022,0.0004454434,0.000010022193],"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":[0.000014554682,0.00007938201,0.0001432803,0.000034139925,0.000030096882,0.000022957502,0.00055956905,0.083986655,0.00015240998,0.0004313172,0.0030492323,0.9114964],"study_design_scores_gemma":[0.0008828834,0.000369253,0.00009112921,0.000111321584,0.000010426076,0.00007744633,0.000005207569,0.95192164,0.002099354,0.007864375,0.036058992,0.00050798256],"about_ca_topic_score_codex":0.000039391805,"about_ca_topic_score_gemma":0.000018624036,"teacher_disagreement_score":0.9109884,"about_ca_system_score_codex":0.00008338914,"about_ca_system_score_gemma":0.00019352994,"threshold_uncertainty_score":0.9997995},"labels":[],"label_agreement":null},{"id":"W2098278566","doi":"10.1145/1735970.1736036","title":"Addressing shared resource contention in multicore processors via scheduling","year":2010,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":511,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Scheduling (production processes); Distributed computing; Workload; Multi-core processor; Thread (computing); Gang scheduling; Shared memory; Cache; Fair-share scheduling; Parallel computing; Quality of service; Two-level scheduling; Operating system; Computer network","score_opus":0.035836779006964116,"score_gpt":0.2961899832905564,"score_spread":0.26035320428359227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098278566","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07983054,0.00005629673,0.91602284,0.002070299,0.00034174236,0.0004443374,0.0000013618496,0.0008999381,0.00033265806],"genre_scores_gemma":[0.41729048,0.0000022557672,0.5817139,0.0006830686,0.0002249908,0.000025700258,0.000013118537,0.00002187723,0.000024609784],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971997,0.00022242077,0.0005568389,0.0009120731,0.00047287092,0.00063609675],"domain_scores_gemma":[0.9976546,0.0004256958,0.00021961285,0.0013358592,0.00016322352,0.00020099487],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005965667,0.00034835134,0.00036714954,0.0005634263,0.0002544684,0.00045685284,0.0026713389,0.00020564704,0.0000094697625],"category_scores_gemma":[0.00035703843,0.00032388102,0.00012812113,0.00081063434,0.00010419993,0.0003825691,0.0012911463,0.0012646661,0.000013623778],"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":[0.00004434001,0.00023155562,0.0056155557,0.00009795051,0.000028885079,0.00007257369,0.0055598137,0.12534478,0.011921461,0.00087949325,0.00077776477,0.8494258],"study_design_scores_gemma":[0.000978102,0.00012213674,0.0050401604,0.0002361143,0.0000048983397,0.00009334418,0.000011756944,0.9791233,0.0028149497,0.007675485,0.0034132448,0.00048651602],"about_ca_topic_score_codex":0.000087021865,"about_ca_topic_score_gemma":0.00016423262,"teacher_disagreement_score":0.8537785,"about_ca_system_score_codex":0.000039610353,"about_ca_system_score_gemma":0.00009370051,"threshold_uncertainty_score":0.9999213},"labels":[],"label_agreement":null},{"id":"W2098666492","doi":"10.1145/545214.545244","title":"Experiences with VI communication for database storage","year":2002,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Implementation; Exploit; Database; Kernel (algebra); Software deployment; Operating system; Linux kernel; Distributed computing; Embedded system; Software engineering","score_opus":0.02720468784387153,"score_gpt":0.2631199432918902,"score_spread":0.23591525544801867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098666492","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017849607,0.0005455558,0.9746678,0.0048134704,0.00017640209,0.0007235789,0.000025189152,0.0010422221,0.00015619663],"genre_scores_gemma":[0.23380384,0.000037202983,0.7648203,0.00079529034,0.00010675966,0.00033108421,0.00003798554,0.000023546541,0.00004403319],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769044,0.00012338883,0.0003057084,0.00086373603,0.00043415223,0.00058259076],"domain_scores_gemma":[0.99398637,0.0009063891,0.00017100784,0.004691896,0.000108007385,0.0001363058],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.00020404559,0.0003425991,0.00031423254,0.00026284036,0.0003925612,0.00024481426,0.006149531,0.0000875558,0.000021114722],"category_scores_gemma":[0.000211661,0.0002656215,0.00007503011,0.0006086989,0.00035122395,0.0008956022,0.00274414,0.000441263,0.000023561734],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048363752,0.00021455802,0.00009307529,0.000059312977,0.000058876634,0.000057577894,0.024717847,0.0030664143,0.00092824816,0.00938558,0.017630288,0.94373983],"study_design_scores_gemma":[0.005858546,0.0043904106,0.0003377612,0.00048586403,0.000057772537,0.0008083544,0.0030349987,0.5929214,0.013859427,0.056875885,0.31769854,0.0036710745],"about_ca_topic_score_codex":0.000022218685,"about_ca_topic_score_gemma":0.00008870973,"teacher_disagreement_score":0.9400688,"about_ca_system_score_codex":0.000058636047,"about_ca_system_score_gemma":0.000030264535,"threshold_uncertainty_score":0.9999796},"labels":[],"label_agreement":null},{"id":"W2099336824","doi":"10.1145/1028176.1006715","title":"Power Awareness through Selective Dynamically Optimized Traces","year":2004,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":46,"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":"Canadian Institute of Steel Construction","keywords":"Computer science; Microarchitecture; Power (physics); Performance improvement; Key (lock); Energy (signal processing); Power budget; Constraint (computer-aided design); Resource (disambiguation); Path (computing); Real-time computing; Embedded system; Distributed computing; Operating system; Power control; Computer network; Operations management; Engineering","score_opus":0.01216643267776838,"score_gpt":0.27179582899665694,"score_spread":0.25962939631888854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099336824","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008816339,0.00012646287,0.97988033,0.0061291293,0.00050563045,0.0005506732,0.000004114454,0.0019525876,0.0020347014],"genre_scores_gemma":[0.23647527,0.000026358712,0.76106054,0.002132814,0.00017761423,0.000039422615,0.00001152945,0.00003611584,0.000040318977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964282,0.000307623,0.0005712112,0.0012116958,0.0006530648,0.0008282314],"domain_scores_gemma":[0.99701446,0.00049503054,0.0002139974,0.0017752068,0.0002725425,0.00022876234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032280775,0.00053291256,0.0005768419,0.00029075207,0.0004211146,0.00042712459,0.0038576894,0.0002109495,0.0000125097495],"category_scores_gemma":[0.00014855733,0.0004633352,0.0002676012,0.0010296433,0.00016474565,0.0005127068,0.0015375179,0.0007405799,0.000035910216],"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":[0.00006768106,0.00034478185,0.00018277952,0.000026011798,0.00013154784,0.0000896542,0.008004428,0.9232807,0.0003949462,0.014984343,0.00218237,0.050310746],"study_design_scores_gemma":[0.00839819,0.0026668159,0.0037671935,0.00045120594,0.000049594793,0.0008214979,0.00004738277,0.3641308,0.014641776,0.58396596,0.017799852,0.0032597561],"about_ca_topic_score_codex":0.0001567673,"about_ca_topic_score_gemma":0.0000294368,"teacher_disagreement_score":0.5689816,"about_ca_system_score_codex":0.00016098116,"about_ca_system_score_gemma":0.0003767767,"threshold_uncertainty_score":0.99978185},"labels":[],"label_agreement":null},{"id":"W2111880608","doi":"10.1145/545214.545218","title":"The optimal logic depth per pipeline stage is 6 to 8 FO4 inverter delays","year":2002,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":242,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PQ Corporation (Canada)","funders":"","keywords":"Clock skew; Pipeline (software); Timing failure; Digital clock manager; Computer science; Inverter; Clock rate; Overhead (engineering); Microprocessor; Skew; Integer (computer science); Instructions per cycle; Window (computing); Parallel computing; Clock signal; Computer hardware; Engineering; Electrical engineering; Telecommunications; Central processing unit; Chip; Operating system","score_opus":0.018564469084556903,"score_gpt":0.22378301787753827,"score_spread":0.20521854879298135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111880608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09719463,0.0006715727,0.88989055,0.006374623,0.0011937917,0.0008835999,0.00002568471,0.0008159932,0.0029495754],"genre_scores_gemma":[0.7599857,0.0002697967,0.22197482,0.012792612,0.0021706498,0.00016326761,0.00001948806,0.00026571337,0.002357994],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971508,0.000105317595,0.0005028285,0.0005839381,0.0005735628,0.0010835625],"domain_scores_gemma":[0.9974596,0.00042886176,0.000046566005,0.0016152717,0.00007940445,0.00037030404],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024953723,0.0005565807,0.000384017,0.00025946935,0.00030048768,0.00021137304,0.0016333624,0.00016007715,0.00040669576],"category_scores_gemma":[0.000045489174,0.00038724463,0.00019025472,0.0004366539,0.000107425156,0.0001633731,0.0006082274,0.00086097495,0.0012181663],"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":[0.000044334574,0.000056410525,0.00059542654,0.000066115004,0.0001386475,0.000058305282,0.007821876,0.30855444,0.0019802968,0.00009997935,0.254891,0.42569315],"study_design_scores_gemma":[0.00072958984,0.0003252803,0.00077943836,0.00003822558,0.000023769384,0.00006872448,0.000027759443,0.5502496,0.0020257174,0.00026739336,0.444762,0.0007025375],"about_ca_topic_score_codex":0.00002619563,"about_ca_topic_score_gemma":0.00012995924,"teacher_disagreement_score":0.6679157,"about_ca_system_score_codex":0.00011024418,"about_ca_system_score_gemma":0.000019523015,"threshold_uncertainty_score":0.99985796},"labels":[],"label_agreement":null},{"id":"W2119092821","doi":"10.1145/2366231.2337161","title":"RAIDR","year":2012,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":449,"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":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Samsung; National Science Foundation","keywords":"Dram; Memory controller; Computer science; Row; Dynamic random-access memory; CAS latency; Embedded system; Universal memory; Static random-access memory; Computer hardware; Overhead (engineering); Memory refresh; Controller (irrigation); Data retention; Semiconductor memory; Operating system; Computer memory","score_opus":0.01983698611201415,"score_gpt":0.2647596643035801,"score_spread":0.24492267819156596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119092821","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066570896,0.0004765376,0.98393756,0.0046881884,0.0011114889,0.00029722866,0.000006344951,0.0018593235,0.0009662635],"genre_scores_gemma":[0.21174018,0.000016259317,0.78558534,0.0018159134,0.0007097335,0.00003288001,0.000009976137,0.00002584347,0.00006384222],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99731773,0.00013008529,0.00031834404,0.0006582415,0.00049601845,0.0010795847],"domain_scores_gemma":[0.99548703,0.0005580849,0.00011536372,0.0034996646,0.000056728513,0.00028312908],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002942983,0.00036093133,0.0003230135,0.00033376235,0.00019253882,0.00014657118,0.0051872265,0.00013690934,0.00001948426],"category_scores_gemma":[0.00029419185,0.0003024271,0.00012645991,0.0007180988,0.00017382271,0.0010472281,0.0053039123,0.00065617973,0.00028847225],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063817024,0.0000845375,0.0013159607,0.000014072032,0.00002743816,0.000024042265,0.0012343217,0.00046210192,0.00090439385,0.032344017,0.010625674,0.95295703],"study_design_scores_gemma":[0.0011567472,0.00046717754,0.0076756314,0.000061939376,0.000017288252,0.0006520096,0.000034217974,0.005830993,0.009740255,0.18701112,0.7858293,0.0015233216],"about_ca_topic_score_codex":0.00001691806,"about_ca_topic_score_gemma":0.000009732431,"teacher_disagreement_score":0.9514337,"about_ca_system_score_codex":0.000071408824,"about_ca_system_score_gemma":0.000046631427,"threshold_uncertainty_score":0.9999428},"labels":[],"label_agreement":null},{"id":"W2122900653","doi":"10.1145/2678373.2665691","title":"SynFull","year":2014,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Speedup; Pace; Cache coherence; Workload; Power consumption; Cache; Computer architecture; Distributed computing; Power (physics); Cache algorithms; CPU cache; Computer network; Parallel computing","score_opus":0.009785753314016484,"score_gpt":0.22203810495940685,"score_spread":0.21225235164539036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122900653","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060490016,0.00004413234,0.98025465,0.0048078,0.0024254743,0.00023240698,7.40164e-7,0.00049812597,0.00568766],"genre_scores_gemma":[0.75630426,0.000004110832,0.23514585,0.0053491206,0.0027480244,0.000030344989,0.0000041093886,0.000028805782,0.000385366],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99744266,0.00041078715,0.00039750861,0.00073270046,0.00042909157,0.000587244],"domain_scores_gemma":[0.99687946,0.0006701979,0.000111685935,0.0020011612,0.00010363164,0.00023387776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054185546,0.00028921227,0.0003437479,0.00021991474,0.00021519144,0.0003613306,0.0028584935,0.00011242789,0.000026676476],"category_scores_gemma":[0.00010649854,0.00023341953,0.00019475279,0.0004063088,0.000054955897,0.00020242242,0.0011743556,0.0004515851,0.0002286505],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011293717,0.00005359498,0.00044740242,0.000028750339,0.00004725794,0.000018029717,0.0015601754,0.009606202,0.00031956026,0.051184237,0.030406129,0.90631735],"study_design_scores_gemma":[0.0006773852,0.00056196953,0.0011760894,0.00008407539,0.000006357909,0.00032481496,0.0000065202116,0.36786368,0.0003543902,0.042780634,0.5855785,0.00058560126],"about_ca_topic_score_codex":0.00007516168,"about_ca_topic_score_gemma":0.000082641585,"teacher_disagreement_score":0.9057318,"about_ca_system_score_codex":0.000035874058,"about_ca_system_score_gemma":0.00003766187,"threshold_uncertainty_score":0.9518572},"labels":[],"label_agreement":null},{"id":"W2126584218","doi":"10.1145/2678373.2665719","title":"SleepScale","year":2014,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Computer science; Power management; Workload; Exploit; Data center; Server; Power (physics); Variety (cybernetics); Power budget; Quality of service; Task (project management); Frequency scaling; Distributed computing; Reliability engineering; Real-time computing; Power control; Operating system; Computer network; Engineering; Computer security; Artificial intelligence","score_opus":0.00845375235718684,"score_gpt":0.2191184189686967,"score_spread":0.21066466661150984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126584218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044540957,0.000044401062,0.9372787,0.010129533,0.00091447687,0.00023845205,5.5736746e-7,0.0008017178,0.0060512456],"genre_scores_gemma":[0.53507364,0.0000018767759,0.45677775,0.0059483913,0.0015873768,0.000016819304,0.0000028268878,0.00003141421,0.00055990776],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971032,0.00032492838,0.00035616787,0.00090790854,0.00059070607,0.0007170589],"domain_scores_gemma":[0.9963386,0.00063252106,0.00010623489,0.0025876886,0.000060555532,0.00027436632],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000530978,0.00033722722,0.00034336717,0.00026630415,0.0002869755,0.0003107825,0.004170143,0.00008509991,0.000011709706],"category_scores_gemma":[0.00010679235,0.0002765064,0.00020507215,0.00053983944,0.00008600191,0.000031100797,0.0036324533,0.0004617137,0.0001954655],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004905925,0.000068123525,0.00045716995,0.000022152284,0.000037346817,0.000015501277,0.0010450309,0.020174287,0.0000871771,0.00955058,0.0085246945,0.96001303],"study_design_scores_gemma":[0.00082351215,0.0004258986,0.003681969,0.000057169575,0.000011717793,0.00008264963,0.0000061872056,0.51792777,0.00029075044,0.033212755,0.44285622,0.00062341715],"about_ca_topic_score_codex":0.00004732365,"about_ca_topic_score_gemma":0.000016564507,"teacher_disagreement_score":0.9593896,"about_ca_system_score_codex":0.000035519686,"about_ca_system_score_gemma":0.000026442993,"threshold_uncertainty_score":0.9999687},"labels":[],"label_agreement":null},{"id":"W2136362035","doi":"10.1145/2366231.2337214","title":"Revisiting hardware-assisted page walks for virtualized systems","year":2012,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea","keywords":"Paging; Demand paging; Computer science; Page fault; Page; Translation lookaside buffer; Virtual memory; Cache; Operating system; Parallel computing; Computer graphics (images); Physical address; Memory management; Semiconductor memory","score_opus":0.03030701190613608,"score_gpt":0.2870492056538025,"score_spread":0.2567421937476664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136362035","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017213034,0.0007452776,0.9911865,0.0016826218,0.0012832496,0.0010072632,0.00000960482,0.0016516771,0.0007124773],"genre_scores_gemma":[0.16387865,0.000022084474,0.83246535,0.0013275474,0.0018651726,0.00015117103,0.000036202106,0.000050938183,0.00020289651],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964237,0.00051034003,0.00070509454,0.00077658595,0.00051791663,0.0010663167],"domain_scores_gemma":[0.9958779,0.0013544462,0.00031962097,0.001831051,0.00023252417,0.00038441058],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011932608,0.00045056426,0.0006019423,0.0003527913,0.00044340623,0.0005192834,0.00268926,0.00017813951,0.000005401924],"category_scores_gemma":[0.00035850142,0.00039577304,0.00029263034,0.0005678406,0.00006232665,0.00042391874,0.0013622517,0.00042654324,0.000024843772],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006239472,0.00021835139,0.0010672156,0.00036006782,0.00019428655,0.000017543342,0.004527188,0.022082638,0.0019418843,0.026690627,0.024679149,0.91815865],"study_design_scores_gemma":[0.0024592855,0.0005143998,0.002411751,0.0005621887,0.000057092497,0.00046844382,0.000033698994,0.63849115,0.0014697685,0.004926573,0.3469498,0.0016558367],"about_ca_topic_score_codex":0.00004343775,"about_ca_topic_score_gemma":0.0000016912466,"teacher_disagreement_score":0.91650283,"about_ca_system_score_codex":0.000089449364,"about_ca_system_score_gemma":0.00008061579,"threshold_uncertainty_score":0.99984944},"labels":[],"label_agreement":null},{"id":"W2136674263","doi":"10.1145/1150019.1136504","title":"Tolerating Dependences Between Large Speculative Threads Via Sub-Threads","year":2006,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Speculative multithreading; Thread (computing); Computer science; Parallel computing; Speculative execution; Speculation; Speedup; Multiprocessing; Multithreading; Operating system","score_opus":0.010879644601878383,"score_gpt":0.2432773610961072,"score_spread":0.23239771649422883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136674263","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11341445,0.00027272504,0.88139266,0.0016609824,0.0006201771,0.0005120241,0.000049940507,0.00045947483,0.0016175886],"genre_scores_gemma":[0.8465108,0.00000331169,0.15072499,0.00047267543,0.0020458777,0.000036259495,0.000088925306,0.000033973214,0.00008314968],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9951726,0.00036430915,0.00085707445,0.0013017432,0.0010856753,0.0012185769],"domain_scores_gemma":[0.99669576,0.00067071157,0.00031779407,0.0018191256,0.00021467629,0.00028196102],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006567126,0.0006018156,0.00074450305,0.0002752546,0.0005186918,0.0006520985,0.0032095558,0.000215633,0.000015523385],"category_scores_gemma":[0.000051327363,0.0005105813,0.00028921693,0.0010064291,0.000122019264,0.0005437946,0.0015057853,0.00075460924,0.000100765945],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002925665,0.00035677795,0.087101966,0.00012346714,0.00022078838,0.00034867722,0.0036388454,0.008422929,0.00336869,0.031880725,0.008539456,0.8559684],"study_design_scores_gemma":[0.0059256065,0.0015585975,0.383555,0.000824931,0.00011189014,0.00070793915,0.00009064218,0.20542695,0.017444007,0.2939994,0.08529277,0.005062273],"about_ca_topic_score_codex":0.00059786416,"about_ca_topic_score_gemma":0.0008160255,"teacher_disagreement_score":0.85090613,"about_ca_system_score_codex":0.0000909489,"about_ca_system_score_gemma":0.00012459913,"threshold_uncertainty_score":0.9997346},"labels":[],"label_agreement":null},{"id":"W2137723287","doi":"10.1145/1735970.1736038","title":"SherLog","year":2010,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":217,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Computer science; Unavailability; Task (project management); Software bug; Code (set theory); Software; Server; Source code; Operating system; Software engineering; Programming language; Reliability engineering","score_opus":0.007245533686210765,"score_gpt":0.2351668028681178,"score_spread":0.22792126918190705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137723287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21808466,0.000035365323,0.77089834,0.0051218555,0.003537521,0.00038207675,0.0000017604127,0.00079243403,0.0011459837],"genre_scores_gemma":[0.575192,0.000004504297,0.42159736,0.0017833345,0.0012755536,0.00003453909,0.0000039833576,0.000020865515,0.00008787443],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975002,0.00012532067,0.00039275904,0.00083096564,0.0005136175,0.00063713145],"domain_scores_gemma":[0.9958341,0.00050774234,0.000096093965,0.0031624662,0.000119863784,0.00027973324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005015893,0.00029980656,0.00032613063,0.00020059203,0.00023876768,0.00024751702,0.0039319727,0.00018907162,0.00004164097],"category_scores_gemma":[0.00016532783,0.00023513028,0.00019474754,0.0005134995,0.00014521845,0.00032933915,0.0016381309,0.0010594262,0.0002701489],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009440121,0.00008153354,0.009858941,0.00004482418,0.000027142836,0.000026460095,0.0016157811,0.0003418675,0.0029330067,0.0016005881,0.0045047617,0.9789556],"study_design_scores_gemma":[0.003083474,0.0012631248,0.18100165,0.00012826714,0.00003398449,0.0014360084,0.000020737616,0.047353927,0.010709895,0.13129507,0.6210061,0.0026677668],"about_ca_topic_score_codex":0.0000909599,"about_ca_topic_score_gemma":0.00015802664,"teacher_disagreement_score":0.9762879,"about_ca_system_score_codex":0.000022147053,"about_ca_system_score_gemma":0.00013976645,"threshold_uncertainty_score":0.95883346},"labels":[],"label_agreement":null},{"id":"W2143700077","doi":"10.1145/2678373.2665701","title":"Fine-grain task aggregation and coordination on GPUs","year":2014,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Parallel computing; Programmer; Thread (computing); Compiler; General-purpose computing on graphics processing units; Runtime system; Programming language; Graphics; Computer graphics (images)","score_opus":0.009286951154045936,"score_gpt":0.24089021954084003,"score_spread":0.2316032683867941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143700077","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009805561,0.00004060915,0.97950983,0.008156505,0.00032588784,0.00029245773,0.0000013353476,0.0007563917,0.0011114484],"genre_scores_gemma":[0.4721338,0.0000074137083,0.5252856,0.0020194894,0.000352526,0.000019666082,0.000015034829,0.000018749983,0.00014772729],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790716,0.00035637943,0.0003020506,0.00069651473,0.00038119496,0.0003566998],"domain_scores_gemma":[0.9978995,0.0006462862,0.00014504346,0.0010456496,0.00010873544,0.00015479198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004979116,0.00027458236,0.0002542929,0.0003574102,0.00024841807,0.00028962482,0.0011970634,0.00010618593,0.000002755103],"category_scores_gemma":[0.00028775903,0.00024282087,0.000073218514,0.00041928812,0.000072429706,0.00017638963,0.0006841417,0.00034209093,0.000018990117],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000097211,0.000042796677,0.00030998717,0.000015354979,0.000012300683,0.0000033911856,0.00070987653,0.015087321,0.00020065399,0.013899919,0.008976051,0.96073264],"study_design_scores_gemma":[0.0009098621,0.000885752,0.0032082456,0.000116525945,0.0000072766334,0.00006164316,0.0000017071513,0.8586551,0.0026373547,0.08113787,0.05187677,0.00050191197],"about_ca_topic_score_codex":0.000029000845,"about_ca_topic_score_gemma":0.000022235086,"teacher_disagreement_score":0.9602307,"about_ca_system_score_codex":0.000034696764,"about_ca_system_score_gemma":0.00003223389,"threshold_uncertainty_score":0.99019474},"labels":[],"label_agreement":null},{"id":"W2147657366","doi":"10.1145/2024716.2024718","title":"The gem5 simulator","year":2011,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":4858,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"x86; Computer science; ARM architecture; Booting; Operating system; Embedded system; Software","score_opus":0.02500028102197819,"score_gpt":0.2505314914940309,"score_spread":0.22553121047205274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147657366","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016655306,0.00016501275,0.99082863,0.001993174,0.00059660553,0.0003099284,7.523847e-7,0.0011694147,0.0032709618],"genre_scores_gemma":[0.20236492,0.00003846549,0.7949302,0.0020387974,0.00036279438,0.000025426914,0.0000019597794,0.000025724801,0.00021170876],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977067,0.00027130565,0.00038215096,0.00061723735,0.0004108942,0.0006117248],"domain_scores_gemma":[0.9964881,0.00073255063,0.0001369667,0.002313611,0.00013219421,0.00019658952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045958353,0.00028994386,0.00022794436,0.00015273919,0.00057875324,0.00030261697,0.0048841564,0.0000929907,0.000010655487],"category_scores_gemma":[0.00013684639,0.00019344104,0.00016064702,0.000486732,0.00014381159,0.00017882926,0.0020906306,0.00045457119,0.00006563912],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026005746,0.00009980442,0.0007942894,0.000011421033,0.00007017146,0.000037581987,0.0047148173,0.017473795,0.000057265646,0.023596257,0.017439758,0.93567884],"study_design_scores_gemma":[0.0007791558,0.0006462273,0.005182208,0.000055263044,0.00001368604,0.00013590907,0.000012329478,0.623934,0.002776822,0.17289221,0.19270203,0.0008702024],"about_ca_topic_score_codex":0.00005464482,"about_ca_topic_score_gemma":0.000020811489,"teacher_disagreement_score":0.9348086,"about_ca_system_score_codex":0.000029565983,"about_ca_system_score_gemma":0.00008530447,"threshold_uncertainty_score":0.9076059},"labels":[],"label_agreement":null},{"id":"W2149324048","doi":"10.1145/2366231.2337174","title":"Inspection resistant memory","year":2012,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Computer science; Adversary; Probabilistic logic; Cryptography; Chip; Class (philosophy); Value (mathematics); Computer security; Scheme (mathematics); Computer engineering; Embedded system; Computer hardware; Theoretical computer science; Artificial intelligence; Telecommunications; Machine learning; Mathematics","score_opus":0.014258476337740897,"score_gpt":0.23692145235006515,"score_spread":0.22266297601232427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149324048","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036703747,0.00027505704,0.94946796,0.003813159,0.0025073728,0.00037504832,0.000006630278,0.0011658536,0.005685167],"genre_scores_gemma":[0.83853346,0.000014981032,0.15538019,0.0022568177,0.0035366847,0.000045178487,0.000015125847,0.000032390675,0.00018518844],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970967,0.0002831156,0.00035982783,0.0006813906,0.0006410062,0.00093794835],"domain_scores_gemma":[0.99690706,0.00042755224,0.000111567475,0.0019650827,0.00011899366,0.0004697707],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003975379,0.00035789888,0.0003500409,0.00030391896,0.00046632777,0.00021594018,0.0019676937,0.000117182455,0.00003168267],"category_scores_gemma":[0.0001204024,0.00030536065,0.00023582406,0.00087628805,0.00011835824,0.00077359716,0.0015791396,0.00071032497,0.00025258388],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015035139,0.0011539622,0.00160831,0.00010876747,0.00019255113,0.000049249826,0.010038701,0.0015407334,0.007726316,0.09095396,0.053179756,0.8332974],"study_design_scores_gemma":[0.0023880487,0.0014314314,0.05933685,0.00014268245,0.00007419759,0.00035199433,0.000077543664,0.020048903,0.00871776,0.14730683,0.75782484,0.0022989295],"about_ca_topic_score_codex":0.00016276914,"about_ca_topic_score_gemma":0.00008533569,"teacher_disagreement_score":0.8309984,"about_ca_system_score_codex":0.00012821968,"about_ca_system_score_gemma":0.000102808255,"threshold_uncertainty_score":0.99993986},"labels":[],"label_agreement":null},{"id":"W2158630919","doi":"10.1145/1150019.1136508","title":"Spatial Memory Streaming","year":2006,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":191,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cache; Parallel computing; Memory bandwidth; Exploit; Block size; Cache-only memory architecture; Interleaved memory; Uniform memory access; Block (permutation group theory); Registered memory; Shared memory; Flat memory model; Cache coloring; Computer architecture; CPU cache; Memory management; Semiconductor memory; Computer hardware; Operating system; Key (lock)","score_opus":0.009048801510486407,"score_gpt":0.23477378888692355,"score_spread":0.22572498737643715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158630919","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007557061,0.00009286451,0.98383105,0.0021332735,0.0004818119,0.00028416223,0.0000020880434,0.0015920199,0.0040256903],"genre_scores_gemma":[0.3253672,0.0000050136337,0.6725928,0.00085634127,0.0009307685,0.000015146936,0.000015528103,0.000023140346,0.00019402965],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974312,0.00022116087,0.00044315564,0.00079427386,0.0005030796,0.0006070917],"domain_scores_gemma":[0.99758446,0.00039203174,0.00015235644,0.001618819,0.00011047886,0.0001418379],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026854913,0.0003457534,0.00032097253,0.00033934013,0.00027398104,0.00033221752,0.0027258878,0.0001177106,0.000013640248],"category_scores_gemma":[0.00005276345,0.0003145426,0.00016356578,0.00048681593,0.00008233725,0.0002087117,0.0015399791,0.00042744185,0.000038954084],"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":[0.000009100028,0.00012460502,0.0008477282,0.000020893742,0.000024061814,0.00006396522,0.00055744953,0.09501469,0.00060850166,0.0038328532,0.016236084,0.8826601],"study_design_scores_gemma":[0.0015950946,0.0005878235,0.016192935,0.00013542653,0.000019473606,0.00028165875,0.0000072923663,0.8276595,0.0083934115,0.097721644,0.04595521,0.0014505282],"about_ca_topic_score_codex":0.0008779778,"about_ca_topic_score_gemma":0.00015229182,"teacher_disagreement_score":0.88120955,"about_ca_system_score_codex":0.00005301041,"about_ca_system_score_gemma":0.000094597504,"threshold_uncertainty_score":0.9999307},"labels":[],"label_agreement":null},{"id":"W2166263440","doi":"10.1145/2366231.2337207","title":"Staged memory scheduling","year":2012,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":199,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Army Research Office; National Science Foundation","keywords":"Computer science; Memory controller; Registered memory; Central processing unit; Embedded system; Uniform memory access; Scheduling (production processes); Parallel computing; Interleaved memory; Locality; Write buffer; Memory management; CPU cache; Operating system; Overlay; Cache; Cache algorithms; Semiconductor memory","score_opus":0.01999806909825688,"score_gpt":0.2682172986647576,"score_spread":0.2482192295665007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166263440","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014733594,0.0003682884,0.97836876,0.0020953794,0.00086753163,0.000305742,0.0000012316514,0.00163217,0.0016273109],"genre_scores_gemma":[0.27049345,0.0000140862985,0.7264111,0.0020571202,0.00086775376,0.000017522205,0.00000590065,0.000024970204,0.000108084256],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971962,0.00035674506,0.00041069728,0.00059473526,0.0005167413,0.00092489907],"domain_scores_gemma":[0.9970038,0.0005181803,0.00014881273,0.0018355799,0.000105237785,0.00038841463],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007328772,0.0003525864,0.0003372047,0.00034692735,0.00031519213,0.0002537298,0.0028950248,0.0001281382,0.000020060232],"category_scores_gemma":[0.00016772452,0.00031405463,0.00016771868,0.0006158316,0.000076954675,0.000502979,0.002005442,0.0006299831,0.00008785133],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017146904,0.00026796202,0.0034121745,0.000054365843,0.000088087596,0.00002232644,0.007391851,0.091084346,0.001056876,0.008397348,0.009951771,0.8782557],"study_design_scores_gemma":[0.0035438756,0.0010564014,0.013069306,0.0003750187,0.00006153281,0.00075260416,0.000082409555,0.7703688,0.03126473,0.046766784,0.12866089,0.0039976193],"about_ca_topic_score_codex":0.000030836636,"about_ca_topic_score_gemma":0.000003808036,"teacher_disagreement_score":0.8742581,"about_ca_system_score_codex":0.00005670398,"about_ca_system_score_gemma":0.00008271448,"threshold_uncertainty_score":0.99993116},"labels":[],"label_agreement":null},{"id":"W2344488400","doi":"10.1145/2927964.2927973","title":"Efficient Mapping and Allocation of Execution Units to Task Graphs using an Evolutionary Framework","year":2016,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Control reconfiguration; Computer science; Task (project management); Field-programmable gate array; Genetic algorithm; Execution time; Power consumption; Multi-objective optimization; Power (physics); Distributed computing; Parallel computing; Embedded system; Engineering","score_opus":0.0317336233244092,"score_gpt":0.2716607310664878,"score_spread":0.2399271077420786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344488400","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24266213,0.00006915815,0.7551978,0.0010596553,0.00020513897,0.0005166091,0.00000430569,0.0002633023,0.000021859421],"genre_scores_gemma":[0.517685,0.0000030703957,0.48196453,0.00021598043,0.0000982555,0.000016119735,0.0000014447188,0.000012855076,0.0000027656456],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997334,0.000483034,0.00048539782,0.000751809,0.00052574644,0.0004200235],"domain_scores_gemma":[0.9971358,0.00060138025,0.00019493322,0.0015036647,0.0003146535,0.0002495335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055457285,0.00027190594,0.00031332963,0.00068677467,0.000158483,0.000071962204,0.0014132729,0.00015196795,0.0000018555113],"category_scores_gemma":[0.00023300922,0.00020916821,0.000059272465,0.0011644327,0.00011200899,0.00019521207,0.0010039586,0.00021460326,0.0000030512153],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052217776,0.00021215154,0.0027535951,0.00014849484,0.0000766923,0.000019869054,0.013248083,0.021909792,0.3642362,0.04249606,0.00080897904,0.55403787],"study_design_scores_gemma":[0.0016201697,0.0026034578,0.043816566,0.0047606193,0.000047938658,0.0007033573,0.0001365828,0.5046984,0.037873656,0.39734513,0.004001967,0.0023921996],"about_ca_topic_score_codex":0.000090448964,"about_ca_topic_score_gemma":0.000007982604,"teacher_disagreement_score":0.5516457,"about_ca_system_score_codex":0.000105401334,"about_ca_system_score_gemma":0.000118372714,"threshold_uncertainty_score":0.8529632},"labels":[],"label_agreement":null},{"id":"W2345041994","doi":"10.1145/2927964.2927968","title":"A Case Study in Reverse Engineering GPGPUs","year":2016,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; CUDA; Kepler; Key (lock); Set (abstract data type); Parallel computing; Instruction set; Science and engineering; Computer architecture; Operating system; Programming language","score_opus":0.018129945766858346,"score_gpt":0.25801460500702006,"score_spread":0.23988465924016172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345041994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16072676,0.000022048313,0.8363409,0.0013780587,0.0002666015,0.00047027165,9.167611e-7,0.0007289453,0.00006549002],"genre_scores_gemma":[0.5763205,0.0000044328826,0.423117,0.0003276438,0.00014306071,0.000031536467,3.7041326e-7,0.000017355705,0.00003806297],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976847,0.00025020298,0.0004328962,0.00076929684,0.00032626474,0.000536634],"domain_scores_gemma":[0.9974009,0.00067759247,0.00008829953,0.0015931292,0.000068165384,0.00017190712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048208475,0.0003044438,0.00032280383,0.0005511758,0.00009552992,0.00013486718,0.0018288966,0.00007967231,0.0000060515226],"category_scores_gemma":[0.00017502533,0.00021925943,0.00009245966,0.00070628664,0.00003252568,0.00024792698,0.0015297531,0.00032376323,0.000019527262],"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":[0.000022211496,0.0005168975,0.012021039,0.000030375026,0.00006431066,0.013766539,0.009847074,0.060064077,0.0006087984,0.0008231894,0.0029920312,0.8992435],"study_design_scores_gemma":[0.013443712,0.0047070794,0.014409148,0.0009982352,0.000046501234,0.031422533,0.00021538259,0.88071185,0.0025777842,0.015967686,0.031153088,0.004346972],"about_ca_topic_score_codex":0.00024672627,"about_ca_topic_score_gemma":0.00014264659,"teacher_disagreement_score":0.8948965,"about_ca_system_score_codex":0.00008580168,"about_ca_system_score_gemma":0.00006781753,"threshold_uncertainty_score":0.89411396},"labels":[],"label_agreement":null},{"id":"W2513721464","doi":"10.1145/3007787.3001159","title":"Transparent offloading and mapping (TOM)","year":2016,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":196,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Bottleneck; Programmer; Memory bandwidth; Bandwidth (computing); Computer architecture; Dram; Embedded system; Compiler; Parallel computing; Operating system; Computer hardware; Computer network","score_opus":0.027196566798935593,"score_gpt":0.2578622872750542,"score_spread":0.23066572047611864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513721464","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009431448,0.00016378,0.97957814,0.008920156,0.00026281658,0.00023547492,0.0000020558723,0.00095097924,0.000455165],"genre_scores_gemma":[0.34288126,0.000076021286,0.6556289,0.0010709268,0.00023374289,0.000015274814,0.0000012908218,0.000017893824,0.00007467566],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785304,0.00018580629,0.0003602957,0.0007529747,0.00033036078,0.0005175069],"domain_scores_gemma":[0.9979639,0.0005760607,0.00010229677,0.0010656521,0.00006868035,0.00022338878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003151725,0.0002879113,0.00030120026,0.00032243977,0.0002115238,0.00019452469,0.0016921087,0.00008630183,0.000008455498],"category_scores_gemma":[0.0000721631,0.00019745354,0.000096278105,0.00035284663,0.00009978795,0.00024543004,0.0009969004,0.00021756864,0.000015718662],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060139387,0.000028388244,0.0012129425,0.000022106635,0.00002910601,0.000018327766,0.0016495476,0.0011948687,0.002106472,0.002822089,0.0018717234,0.9890384],"study_design_scores_gemma":[0.006832537,0.001807465,0.03736188,0.002238687,0.00004790144,0.0011611232,0.00003558837,0.4010262,0.025385343,0.25460318,0.26525375,0.004246354],"about_ca_topic_score_codex":0.000016604361,"about_ca_topic_score_gemma":0.0000070635942,"teacher_disagreement_score":0.98479205,"about_ca_system_score_codex":0.000040997667,"about_ca_system_score_gemma":0.000049005812,"threshold_uncertainty_score":0.8051922},"labels":[],"label_agreement":null},{"id":"W2516141709","doi":"10.1145/3007787.3001138","title":"Cnvlutin","year":2016,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":639,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Computer science; Multiplication (music); Operand; Computation; Overhead (engineering); Parallel computing; Efficient energy use; Fraction (chemistry); State (computer science); Algorithm; Arithmetic; Computer hardware; Mathematics","score_opus":0.015607003404162132,"score_gpt":0.2567286129807016,"score_spread":0.24112160957653947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516141709","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004555518,0.000061057406,0.9603595,0.03287324,0.0003742674,0.0003487736,0.0000036102772,0.00069666066,0.00072733004],"genre_scores_gemma":[0.20807455,0.000031411888,0.786678,0.00379519,0.00091362954,0.00008163513,0.0000023191412,0.000032670298,0.00039057212],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99758244,0.00013963073,0.00032804903,0.000881936,0.00039619918,0.0006717261],"domain_scores_gemma":[0.9957933,0.0011285427,0.000110086025,0.002625724,0.00007447973,0.0002678819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001439035,0.00028957927,0.00024531854,0.00016738569,0.00019680391,0.00009535169,0.0037489587,0.00007473055,0.00002611285],"category_scores_gemma":[0.000098046046,0.00018553014,0.00013165626,0.00060375786,0.00012734372,0.00030408666,0.0021257596,0.0002659776,0.00034350622],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060674884,0.000030966377,0.00028393604,0.000003512244,0.000012632796,0.00001403719,0.00017780114,0.00054483523,0.0054287254,0.018917317,0.0070513627,0.9675288],"study_design_scores_gemma":[0.0014478512,0.00036290675,0.0063588317,0.000100553,0.000009266447,0.00026748676,0.000002038807,0.0076410477,0.0078235045,0.4057811,0.5692179,0.0009875116],"about_ca_topic_score_codex":0.0000070393266,"about_ca_topic_score_gemma":0.000022466602,"teacher_disagreement_score":0.9665413,"about_ca_system_score_codex":0.00005498826,"about_ca_system_score_gemma":0.000057895446,"threshold_uncertainty_score":0.7565699},"labels":[],"label_agreement":null},{"id":"W2517678212","doi":"10.1145/3007787.3001195","title":"The anytime automaton","year":2016,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Automaton; Pipeline (software); Computation; Theoretical computer science; Simple (philosophy); Distributed computing; Cellular automaton; State (computer science); Algorithm; Computer engineering; Programming language","score_opus":0.010086729097621244,"score_gpt":0.2448873781263465,"score_spread":0.23480064902872527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517678212","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015931727,0.00013210105,0.9684486,0.02621641,0.00050539646,0.0002640614,0.0000013750838,0.0017127283,0.0011261972],"genre_scores_gemma":[0.113265835,0.0001033093,0.8827731,0.002372088,0.0005788373,0.00004223354,0.0000016551643,0.000034054046,0.0008288813],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975671,0.00030791044,0.00037399319,0.00064408337,0.00046708225,0.00063982094],"domain_scores_gemma":[0.99571353,0.0015718902,0.00013841734,0.0022712257,0.00011941699,0.00018551438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005067427,0.0002822516,0.00022532581,0.00015486726,0.00053104054,0.00037198266,0.0044427607,0.00008959561,0.000008054586],"category_scores_gemma":[0.00020155562,0.00014247376,0.00015020881,0.00043311174,0.00016275712,0.0002174083,0.0019799874,0.0002494578,0.00011234298],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070760493,0.000023353501,0.00022577237,0.0000036593945,0.00002418203,0.000011448615,0.00031398577,0.00085813174,0.00039859157,0.010772282,0.026716199,0.9606453],"study_design_scores_gemma":[0.0014377123,0.0006313636,0.0045868526,0.00019641475,0.000010819655,0.00029907833,0.0000036954445,0.17062874,0.0075481203,0.18322977,0.63039386,0.0010335452],"about_ca_topic_score_codex":0.000015604486,"about_ca_topic_score_gemma":0.000012208472,"teacher_disagreement_score":0.9596118,"about_ca_system_score_codex":0.000052189713,"about_ca_system_score_gemma":0.00010496758,"threshold_uncertainty_score":0.82558286},"labels":[],"label_agreement":null},{"id":"W2578575989","doi":"10.1145/3039902.3039907","title":"An Improved Overlay and Mapping Algorithm Supporting Rapid Triggering for FPGA Debug","year":2017,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Debugging; Overlay; Field-programmable gate array; Computer science; Observability; Embedded system; Background debug mode interface; Software; TRACE (psycholinguistics); Computer hardware; Real-time computing; Operating system","score_opus":0.015100499825445566,"score_gpt":0.2633789226388761,"score_spread":0.24827842281343052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578575989","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034591924,0.00019944903,0.96250314,0.0002795015,0.00038944735,0.0008178806,0.000024775169,0.000975554,0.0002183142],"genre_scores_gemma":[0.4286548,0.000057239526,0.5698047,0.00018845494,0.0010448898,0.00011166103,0.000023167957,0.00009819487,0.000016832382],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818736,0.000043937125,0.00040456766,0.0005145546,0.00016224329,0.00068732153],"domain_scores_gemma":[0.99803025,0.00025637134,0.00012936187,0.0012889315,0.00005264367,0.00024241814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042903185,0.0003784883,0.00043587317,0.00020431173,0.0005414617,0.00046078596,0.0010216096,0.0001610249,0.000009142341],"category_scores_gemma":[0.000103840146,0.00035654695,0.00013739736,0.00005921498,0.00008613799,0.00031328344,0.0003282846,0.00040770872,0.0000014665649],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001026928,0.000013636045,0.00011077161,0.00011920218,0.00005475701,0.000011360259,0.0009496459,0.00034586163,0.028622428,0.000009403215,0.0006050719,0.9691476],"study_design_scores_gemma":[0.0018941218,0.0007451313,0.004093049,0.00019944811,0.000044924072,0.0001373987,0.000048219976,0.9011872,0.045867953,0.008045443,0.03651507,0.0012220889],"about_ca_topic_score_codex":0.00005362933,"about_ca_topic_score_gemma":0.000025235233,"teacher_disagreement_score":0.9679255,"about_ca_system_score_codex":0.000038225804,"about_ca_system_score_gemma":0.000025337251,"threshold_uncertainty_score":0.99988866},"labels":[],"label_agreement":null},{"id":"W2998362270","doi":"10.1145/2528521.1508283","title":"Architectural support for SWAR text processing with parallel bit streams","year":2009,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; SIMD; Operand; Parallel computing; Instruction set; Set (abstract data type); Parsing; Stream processing; Simple (philosophy); Parallelism (grammar); Computer architecture; Programming language; Computer hardware","score_opus":0.01253498454135215,"score_gpt":0.25503459742731555,"score_spread":0.2424996128859634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998362270","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007760567,0.00013032662,0.98472977,0.005213722,0.00022939239,0.0009800141,0.000025864218,0.0005701866,0.00036016732],"genre_scores_gemma":[0.1323848,0.000006021136,0.8633466,0.003093684,0.0008166477,0.00006514811,0.00010294085,0.00003907574,0.00014513382],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961796,0.00011385484,0.00051194354,0.0013393974,0.0007490722,0.0011061727],"domain_scores_gemma":[0.99681324,0.00036980573,0.00023057073,0.0019920277,0.00017963669,0.00041474693],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026640992,0.000611925,0.0005623343,0.0003329172,0.00048377903,0.0006052965,0.0035676693,0.00013539643,0.000012520768],"category_scores_gemma":[0.000041567324,0.00042282674,0.00020217961,0.0005902563,0.00012642758,0.00058490137,0.00092509156,0.0005942735,0.000019612728],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013667213,0.00012975294,0.000116269235,0.000034448338,0.000027155937,0.000049563245,0.0012094437,0.006941472,0.0003056061,0.00073701655,0.002943644,0.98736894],"study_design_scores_gemma":[0.008057834,0.010345873,0.011300181,0.0006123481,0.000085196625,0.0019598834,0.00004483999,0.71212643,0.0021218779,0.08187243,0.16832054,0.0031525618],"about_ca_topic_score_codex":0.000038866423,"about_ca_topic_score_gemma":0.000039133283,"teacher_disagreement_score":0.9842164,"about_ca_system_score_codex":0.000050540122,"about_ca_system_score_gemma":0.0002719778,"threshold_uncertainty_score":0.9998224},"labels":[],"label_agreement":null},{"id":"W2998610137","doi":"10.1145/3140659.3080251","title":"There and Back Again","year":2017,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Network topology; Dram; Latency (audio); Scalability; Interconnection; Queueing theory; Interleaved memory; Registered memory; Efficient energy use; Distributed computing; Computer network; Parallel computing; Embedded system; Memory management; Semiconductor memory; Computer hardware; Operating system; Electrical engineering; Engineering; Telecommunications","score_opus":0.020889224603673175,"score_gpt":0.2564817175323137,"score_spread":0.2355924929286405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998610137","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030787079,0.00018310046,0.94829965,0.010372381,0.001625712,0.00030939383,0.0000018798096,0.00015331889,0.008267513],"genre_scores_gemma":[0.86577296,0.000033781842,0.1293697,0.002047066,0.001611505,0.000016848238,0.0000019407414,0.000025440993,0.0011207417],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981806,0.00017872118,0.00027190757,0.0006570329,0.00026911488,0.0004425704],"domain_scores_gemma":[0.99661493,0.00027848396,0.00017236531,0.0026712455,0.000068570385,0.00019440734],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00034701155,0.00025365333,0.0002965678,0.00010047568,0.00063777616,0.0012063371,0.0031300753,0.00010391309,0.00003203369],"category_scores_gemma":[0.00007282852,0.00019661825,0.00011221812,0.00007406547,0.00012961292,0.00033594394,0.0022052762,0.00037585327,0.0001326161],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016083432,0.000036902395,0.0035638884,0.00004205685,0.00006911091,0.000071709386,0.0023168884,0.0007768629,0.00026349854,0.010563137,0.019200968,0.9630789],"study_design_scores_gemma":[0.0023768537,0.0008802952,0.044878468,0.0004055042,0.000015825264,0.0008420486,0.0000372129,0.24967742,0.00054141966,0.06505961,0.63384455,0.0014407614],"about_ca_topic_score_codex":0.00017768152,"about_ca_topic_score_gemma":0.0001848637,"teacher_disagreement_score":0.96163815,"about_ca_system_score_codex":0.00002000622,"about_ca_system_score_gemma":0.0000348729,"threshold_uncertainty_score":0.9998305},"labels":[],"label_agreement":null},{"id":"W3003171358","doi":"10.1145/871656.859643","title":"Performance analysis of the Alpha 21364-based HP GS1280 multiprocessor","year":2003,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hewlett-Packard (Canada)","funders":"","keywords":"Multiprocessing; Computer science; Profiling (computer programming); Parallel computing; Interconnection; Alpha (finance); Embedded system; Clock rate; Key (lock); Computer architecture; Operating system; Chip","score_opus":0.012973778827077936,"score_gpt":0.2451543054494663,"score_spread":0.23218052662238836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003171358","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06218295,0.000073333045,0.9351074,0.0009677928,0.00024702103,0.0003031204,0.0000033272916,0.00034684446,0.00076819427],"genre_scores_gemma":[0.5734261,0.000006926916,0.42532632,0.0011284407,0.000037049584,0.000014264793,0.0000035780843,0.000011966839,0.000045335953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972769,0.00042271992,0.0005219062,0.0006722662,0.00063187757,0.00047433027],"domain_scores_gemma":[0.9965127,0.00056520506,0.00030186868,0.0022562528,0.00023533881,0.00012863765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054358516,0.00031683335,0.0004910148,0.00057416066,0.00028179173,0.00011618658,0.0035275456,0.00011055761,0.0000126660825],"category_scores_gemma":[0.00023186923,0.00022237463,0.00038267087,0.0030923248,0.00015481978,0.00014423337,0.00067702064,0.0004162409,0.0000048104507],"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":[0.000012116827,0.00014354782,0.017422047,0.00005130741,0.0002727115,0.0000036121144,0.0011433534,0.8825654,0.0003160054,0.001125671,0.0008128419,0.09613143],"study_design_scores_gemma":[0.00046939775,0.00014770974,0.013846597,0.000053117175,0.0000966662,0.0000108978375,0.0000025000568,0.96811455,0.011445096,0.00085916225,0.0046434863,0.00031084442],"about_ca_topic_score_codex":0.000030399602,"about_ca_topic_score_gemma":0.000025716387,"teacher_disagreement_score":0.51124316,"about_ca_system_score_codex":0.00003960926,"about_ca_system_score_gemma":0.00020865448,"threshold_uncertainty_score":0.9068174},"labels":[],"label_agreement":null},{"id":"W3006036681","doi":"10.1145/2189750.2150989","title":"Cosmic rays don't strike twice","year":2012,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dram; Computer science; Set (abstract data type); Terabyte; Memory errors; Field (mathematics); Soft error; Reliability engineering; Computer hardware; Engineering; Operating system; Electronic engineering","score_opus":0.007157630022584263,"score_gpt":0.21840985783717537,"score_spread":0.2112522278145911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006036681","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41615987,0.0020440663,0.57328695,0.00058182696,0.0026220572,0.0006765699,0.00001448553,0.0014170913,0.0031970732],"genre_scores_gemma":[0.9524033,0.0000451297,0.044058084,0.00086014584,0.0023997712,0.000043950567,0.000031845706,0.00011115541,0.000046632522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978384,0.00014374783,0.00030704142,0.00028817367,0.00037031728,0.0010523206],"domain_scores_gemma":[0.9979135,0.00070425373,0.000046157467,0.0009958175,0.000032478667,0.0003078196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002915272,0.00036584045,0.00031167764,0.00023482656,0.00009989857,0.00006575462,0.0008486759,0.00014535378,0.00007393282],"category_scores_gemma":[0.00008030346,0.00034954623,0.00013195898,0.00038495162,0.000055246514,0.00018888811,0.00021167452,0.0008294443,0.00016855191],"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":[0.000018692177,0.000052419833,0.0010229724,0.00008524475,0.00013215661,0.000005608055,0.0015931043,0.58879846,0.0027395284,0.00037626372,0.023649724,0.38152578],"study_design_scores_gemma":[0.0017981962,0.00045384164,0.010458763,0.00007439015,0.0000806523,0.00023824515,0.000019690591,0.30104566,0.0073245866,0.004585553,0.67244136,0.0014790399],"about_ca_topic_score_codex":0.000021776154,"about_ca_topic_score_gemma":0.000031071548,"teacher_disagreement_score":0.6487917,"about_ca_system_score_codex":0.00019199106,"about_ca_system_score_gemma":0.000039601404,"threshold_uncertainty_score":0.99989563},"labels":[],"label_agreement":null},{"id":"W3013744194","doi":"10.1145/384285.379250","title":"Tolerating memory latency through software-controlled pre-execution in simultaneous multithreading processors","year":2001,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PQ Corporation (Canada)","funders":"","keywords":"Computer science; Multithreading; Instruction prefetch; Thread (computing); Speedup; Speculative multithreading; Parallel computing; Simultaneous multithreading; Software; Instruction set; Speculative execution; Latency (audio); Operating system; Cache","score_opus":0.013729695413583843,"score_gpt":0.27089923931859,"score_spread":0.2571695439050062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013744194","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053994454,0.00025624802,0.9410335,0.0011567138,0.0003444935,0.0010925557,0.0000010083539,0.0014823434,0.00063871685],"genre_scores_gemma":[0.39304218,0.000048222024,0.60548705,0.00091637735,0.00025779713,0.00007195518,0.0000083247105,0.000029361949,0.00013874145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99616677,0.0004037034,0.0008747137,0.001103125,0.0005812391,0.00087043346],"domain_scores_gemma":[0.9960865,0.0019991326,0.00030828317,0.0012485248,0.0001985935,0.00015898624],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005720462,0.00050622696,0.000716254,0.0004282659,0.00034074578,0.0003656761,0.002340646,0.00020337354,0.000009177903],"category_scores_gemma":[0.0010983611,0.00044777404,0.00019174491,0.0010861241,0.00008078883,0.0005482804,0.0010053812,0.0007523892,0.000016196407],"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":[0.00010474804,0.00013915688,0.0014552836,0.000032289314,0.000027957063,0.00014267034,0.0067074713,0.75262433,0.00014915672,0.00022356505,0.00017018068,0.2382232],"study_design_scores_gemma":[0.0030040825,0.00029979672,0.00049853016,0.0002186625,0.000009587455,0.00013561669,0.00001375467,0.98083174,0.0005231482,0.01300427,0.0008961536,0.0005646361],"about_ca_topic_score_codex":0.00031854794,"about_ca_topic_score_gemma":0.00017848387,"teacher_disagreement_score":0.33904773,"about_ca_system_score_codex":0.00012899199,"about_ca_system_score_gemma":0.00014509309,"threshold_uncertainty_score":0.9997974},"labels":[],"label_agreement":null},{"id":"W3086779066","doi":"10.1145/2872887.2750403","title":"Quantitative comparison of hardware transactional memory for Blue Gene/Q, zEnterprise EC12, Intel Core, and POWER8","year":2015,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Transactional memory; Computer science; IBM; Software transactional memory; Scalability; Operating system; Overhead (engineering); Software; Multi-core processor; Computer architecture; Parallel computing; Embedded system; Programming language; Database transaction","score_opus":0.061106654920366515,"score_gpt":0.3273915985601816,"score_spread":0.26628494363981503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086779066","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06929772,0.0007205541,0.9270892,0.0009735705,0.0008957309,0.00064711034,0.00015746601,0.00011035432,0.00010825671],"genre_scores_gemma":[0.58048433,0.0000072418784,0.41870198,0.00041837068,0.00019769034,0.00005332671,0.000051487354,0.000024461366,0.00006111961],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751705,0.00015011555,0.00064049585,0.00071367034,0.0005450373,0.00043362714],"domain_scores_gemma":[0.9974883,0.0006840121,0.00025880506,0.00087248546,0.00041112286,0.0002852486],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041497752,0.0003352618,0.00064892875,0.0002069228,0.00012415435,0.0001322941,0.0014745926,0.000119360455,0.0000037573698],"category_scores_gemma":[0.00013246915,0.0002919968,0.0001883892,0.00030627882,0.0001771825,0.0002496992,0.000405786,0.00033643463,0.000006201181],"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":[0.0012960952,0.0009922548,0.004086256,0.00053894665,0.000583941,0.000047288086,0.05871559,0.05680345,0.0047117295,0.011042942,0.04996613,0.8112154],"study_design_scores_gemma":[0.0075508193,0.0049036494,0.0035996211,0.0004968942,0.00007743531,0.0003070883,0.00089466164,0.85812014,0.009186383,0.018154733,0.095212616,0.0014959362],"about_ca_topic_score_codex":0.00009383082,"about_ca_topic_score_gemma":0.000081127466,"teacher_disagreement_score":0.80971944,"about_ca_system_score_codex":0.000049733753,"about_ca_system_score_gemma":0.00017386295,"threshold_uncertainty_score":0.9999532},"labels":[],"label_agreement":null},{"id":"W4214856401","doi":"10.1145/1273440.1250696","title":"Mechanisms for store-wait-free multiprocessors","year":2007,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Carnegie Mellon University","keywords":"Computer science; Scalability; Speculative execution; Parallel computing; Consistency (knowledge bases); Cache coherence; Cache; Consistency model; Rollback; Implementation; Distributed computing; Sequential consistency; Synchronization (alternating current); Weak consistency; Speculation; Out-of-order execution; Eventual consistency; Strong consistency; CPU cache; Data consistency; Operating system; Computer network; Cache algorithms; Channel (broadcasting); Programming language; Database transaction","score_opus":0.01623284482417857,"score_gpt":0.2718618750697551,"score_spread":0.25562903024557654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214856401","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017728412,0.00008045879,0.99173397,0.0028132151,0.0007103632,0.00080101384,0.000005286371,0.0016327043,0.0004501516],"genre_scores_gemma":[0.0703557,0.000007091182,0.92627233,0.0027043663,0.0004228666,0.000047819787,0.0000145320755,0.000044119122,0.00013119796],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99683726,0.00010479066,0.00056077377,0.0009918824,0.0005750363,0.0009302733],"domain_scores_gemma":[0.99588656,0.0011759197,0.00021485052,0.0021329075,0.00027823207,0.00031152103],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010991402,0.00042369036,0.0004067619,0.00049421476,0.0003753173,0.00025568274,0.005127537,0.00018816447,0.0000049438963],"category_scores_gemma":[0.0004326349,0.00038122284,0.00023993556,0.0006651137,0.00007833841,0.00023977767,0.0021096906,0.00043231357,0.000012470415],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093565555,0.00022534121,0.00015421696,0.00009614325,0.00008239046,0.000038580394,0.0028965832,0.033173125,0.0017059419,0.029004302,0.01602998,0.91649985],"study_design_scores_gemma":[0.0027292243,0.0013005364,0.0013282165,0.000113142414,0.000021677739,0.00012388187,0.000020696132,0.54619396,0.018772554,0.38431448,0.04384083,0.0012408018],"about_ca_topic_score_codex":0.00003719856,"about_ca_topic_score_gemma":0.000063434556,"teacher_disagreement_score":0.915259,"about_ca_system_score_codex":0.00007429328,"about_ca_system_score_gemma":0.00010717722,"threshold_uncertainty_score":0.999864},"labels":[],"label_agreement":null},{"id":"W4230823926","doi":"10.1145/3140659.3080218","title":"Fractal","year":2017,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Kwanjeong Educational Foundation; Massachusetts Institute of Technology; National Science Foundation","keywords":"Computer science; Parallel computing; Parallelism (grammar); Fractal; Data parallelism; Exploit; Task parallelism; Range (aeronautics); Mathematics","score_opus":0.019364703645956285,"score_gpt":0.28362487105872247,"score_spread":0.2642601674127662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230823926","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004600847,0.000049623864,0.9792382,0.008537106,0.0006826131,0.0002281655,0.0000015712868,0.0010041227,0.0056577423],"genre_scores_gemma":[0.2923937,0.00001449976,0.705326,0.001494442,0.0005550983,0.000012894893,0.0000035702576,0.00001851103,0.00018123201],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997869,0.00012914732,0.00030378634,0.0007363533,0.00042996992,0.00053170935],"domain_scores_gemma":[0.9949947,0.00025996586,0.00025119534,0.004166307,0.00010996271,0.00021788648],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0003096074,0.00029342875,0.00029765535,0.00019345147,0.0009726312,0.0011746294,0.0074836337,0.00011418056,0.000013195967],"category_scores_gemma":[0.00026418688,0.0002571842,0.00016343409,0.00012875066,0.00014514118,0.00048102942,0.0038663684,0.00048579276,0.00007592085],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008945956,0.000075171905,0.0021213824,0.000013925219,0.000037661088,0.00007083808,0.00087882055,0.0055410382,0.00019038228,0.007338078,0.016563414,0.96716034],"study_design_scores_gemma":[0.0019501573,0.0008052838,0.04433656,0.00018875816,0.000018999197,0.00038456847,0.0000052994596,0.56361735,0.0050512743,0.16615209,0.2157629,0.0017267653],"about_ca_topic_score_codex":0.00009140032,"about_ca_topic_score_gemma":0.000020562115,"teacher_disagreement_score":0.9654336,"about_ca_system_score_codex":0.000029869558,"about_ca_system_score_gemma":0.00008591081,"threshold_uncertainty_score":0.999988},"labels":[],"label_agreement":null},{"id":"W4230924300","doi":"10.1145/2189750.2150992","title":"Comprehensive kernel instrumentation via dynamic binary translation","year":2012,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Binary translation; Computer science; sysfs; Configfs; Kernel (algebra); Instrumentation (computer programming); Operating system; Interrupt; Overhead (engineering); Linux kernel; Embedded system; Software","score_opus":0.028220689346858643,"score_gpt":0.28492613481261053,"score_spread":0.2567054454657519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230924300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13303423,0.00044974382,0.86142683,0.002674471,0.0014088706,0.0004068493,0.0000027968097,0.00041008438,0.00018614088],"genre_scores_gemma":[0.6309662,0.000018973364,0.36721408,0.0013070868,0.00041010705,0.000019288165,0.00003797936,0.000018522749,0.000007754128],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973809,0.00035767778,0.0004775369,0.0006007604,0.0005187301,0.0006643962],"domain_scores_gemma":[0.99762,0.0006314983,0.00018538455,0.0012014338,0.00010624692,0.0002554717],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028094868,0.00032886135,0.00027643683,0.00032292845,0.00034145633,0.00019093555,0.0016641391,0.00012976716,0.000019363037],"category_scores_gemma":[0.000020802037,0.0003248059,0.00015437487,0.00067164435,0.00009063095,0.00079475105,0.0006166124,0.00048650487,0.000107304215],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024636272,0.00014140044,0.0011335583,0.000049474453,0.000043670363,0.0000040237815,0.009011337,0.004183526,0.004338292,0.0015339868,0.00029314193,0.979243],"study_design_scores_gemma":[0.0019039027,0.00053386565,0.06350434,0.00009763139,0.000030511736,0.00032476033,0.0000896253,0.8525058,0.0021975073,0.017997963,0.059668545,0.0011455213],"about_ca_topic_score_codex":0.000042733725,"about_ca_topic_score_gemma":0.000011258386,"teacher_disagreement_score":0.97809744,"about_ca_system_score_codex":0.00009902814,"about_ca_system_score_gemma":0.000059492733,"threshold_uncertainty_score":0.9999204},"labels":[],"label_agreement":null},{"id":"W4232361088","doi":"10.1145/2508148.2485946","title":"STREX","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Georgia Institute of Technology; Division of Information and Intelligent Systems; Alfred P. Sloan Foundation; European Social Fund; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Computer science; Online transaction processing; Cache; Thrashing; Operating system; Exploit; Thread (computing); Parallel computing; Database transaction; Embedded system; Transaction processing; Database; Computer security","score_opus":0.011888847144816814,"score_gpt":0.24177603345510115,"score_spread":0.22988718631028435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232361088","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004841262,0.0000727186,0.98265755,0.007035788,0.00048665045,0.00044067754,8.3794856e-7,0.0015878807,0.0028766522],"genre_scores_gemma":[0.123983994,0.000013973151,0.87181234,0.0034394695,0.0004290654,0.00005266034,0.0000066148828,0.000022671085,0.00023923045],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977101,0.00019806939,0.00036258207,0.000719518,0.00041811028,0.00059161964],"domain_scores_gemma":[0.9971918,0.0003774436,0.00011221224,0.0019030591,0.00016165929,0.00025386192],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018418257,0.00030839132,0.0002835533,0.00028127624,0.00020415001,0.00050051155,0.0035153904,0.00010465706,0.00006867889],"category_scores_gemma":[0.00008372609,0.00026045038,0.00014095256,0.00054643344,0.00007279639,0.00037326827,0.0018819042,0.00042472835,0.00031512402],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021186593,0.00007219239,0.00060849823,0.000014320789,0.000029969087,0.000012929931,0.0009019015,0.014296269,0.00030741128,0.004462137,0.080911204,0.89838105],"study_design_scores_gemma":[0.0009731555,0.00063306856,0.009024754,0.00009675878,0.000009333334,0.00018694467,0.000009817014,0.72689605,0.0030450574,0.16992678,0.088003725,0.0011945572],"about_ca_topic_score_codex":0.00014962435,"about_ca_topic_score_gemma":0.000008662461,"teacher_disagreement_score":0.8971865,"about_ca_system_score_codex":0.00003466107,"about_ca_system_score_gemma":0.00007179385,"threshold_uncertainty_score":0.9999848},"labels":[],"label_agreement":null},{"id":"W4233372895","doi":"10.1145/2528521.1508281","title":"Phantom-BTB","year":2009,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cache; Granularity; Overhead (engineering); Random access; Working set; Parallel computing; Table (database); CPU cache; Embedded system; Operating system; Database","score_opus":0.013411313974585382,"score_gpt":0.2656065375942448,"score_spread":0.2521952236196594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233372895","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020347692,0.0001491005,0.9810084,0.010389757,0.00036610142,0.00029396336,0.0000010970296,0.0019858147,0.003770978],"genre_scores_gemma":[0.18288177,0.000026617368,0.8088094,0.007565196,0.00053323933,0.0000082554925,0.000007016007,0.00001563373,0.00015284705],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974089,0.00020820303,0.00040377813,0.000819949,0.0005051446,0.00065397104],"domain_scores_gemma":[0.9972808,0.0002774686,0.00012944425,0.0019384077,0.000120253244,0.00025364224],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031470534,0.00035461312,0.00034735407,0.00036584176,0.0002453018,0.00035514,0.0037586999,0.00011936961,0.000012266293],"category_scores_gemma":[0.00008904094,0.00031056843,0.00017761282,0.00074045995,0.000056600238,0.00027780654,0.00089344446,0.00047846703,0.000063067775],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000094084,0.00010988068,0.00011243092,0.000006924631,0.000018637358,0.000043760534,0.0010201541,0.015165664,0.00044386712,0.009086522,0.01948432,0.9544984],"study_design_scores_gemma":[0.0018096013,0.0019829383,0.0068664243,0.00016298173,0.000018800094,0.0004887465,0.0000054926927,0.52930343,0.007896819,0.30185837,0.14792533,0.0016810902],"about_ca_topic_score_codex":0.000017467735,"about_ca_topic_score_gemma":0.000004551684,"teacher_disagreement_score":0.9528173,"about_ca_system_score_codex":0.00004268625,"about_ca_system_score_gemma":0.00008746325,"threshold_uncertainty_score":0.9999346},"labels":[],"label_agreement":null},{"id":"W4234126694","doi":"10.1145/2980024.2872398","title":"Sidewinder","year":2016,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); University of Toronto","funders":"","keywords":"Computer science; Software portability; Interface (matter); Embedded system; Software deployment; Participatory sensing; Mobile device; Real-time computing; Operating system","score_opus":0.023212185531594685,"score_gpt":0.24907305364666749,"score_spread":0.2258608681150728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234126694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015015007,0.00006165864,0.9613737,0.019740567,0.0011758978,0.00042287644,0.000007430117,0.00073308754,0.0014697904],"genre_scores_gemma":[0.86812675,0.000008308013,0.12637189,0.0036371343,0.0011586853,0.000063181746,0.0000024976866,0.00004111722,0.0005904318],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99663717,0.00041777288,0.00046268746,0.001045349,0.00069386,0.00074316707],"domain_scores_gemma":[0.9948875,0.0019386311,0.00016128388,0.0024979112,0.00017848345,0.00033619738],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039875053,0.00038610704,0.00042174524,0.0003601682,0.00017485849,0.00027735872,0.0032267077,0.00013482601,0.00010733119],"category_scores_gemma":[0.00024195062,0.0002543035,0.00024160984,0.0005079759,0.00011417667,0.00064418424,0.0020566697,0.00032381178,0.0007594751],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010864577,0.000052434218,0.0012604027,0.000011384169,0.000051971656,0.000045526984,0.00069888134,0.000019285138,0.004289401,0.0009840119,0.007289208,0.98528665],"study_design_scores_gemma":[0.0060334764,0.0011802211,0.0260859,0.00068492565,0.00003586067,0.0018546917,0.000028047903,0.004308548,0.02066024,0.14399576,0.79219663,0.0029357101],"about_ca_topic_score_codex":0.00006543551,"about_ca_topic_score_gemma":0.0001180815,"teacher_disagreement_score":0.98235095,"about_ca_system_score_codex":0.000094847914,"about_ca_system_score_gemma":0.00015022143,"threshold_uncertainty_score":0.99999094},"labels":[],"label_agreement":null},{"id":"W4234436083","doi":"10.1145/2872887.2750421","title":"Fusion","year":2015,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Cache; Memory hierarchy; Efficient energy use; Granularity; Embedded system; Operating system; Oracle; Locality; Multi-core processor; Computer architecture; Parallel computing","score_opus":0.028276702791952782,"score_gpt":0.2723983289106867,"score_spread":0.24412162611873395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234436083","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036427644,0.00012373675,0.9850317,0.005245172,0.00064363686,0.0002457308,8.555723e-7,0.0015717866,0.0034945682],"genre_scores_gemma":[0.07952867,0.000011718592,0.91695046,0.002762661,0.00051927584,0.0000147828605,0.000008234285,0.000021091495,0.00018312385],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770254,0.00025298944,0.00032913015,0.0006626473,0.00056598283,0.00048670344],"domain_scores_gemma":[0.99734205,0.00024074063,0.00010857834,0.001728783,0.0001952714,0.0003845676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004656143,0.00027468917,0.00027124424,0.00029431703,0.00015088172,0.00027089493,0.0031028283,0.00010502747,0.0000059481054],"category_scores_gemma":[0.00017288979,0.00023392048,0.00011202845,0.0006183474,0.00006158451,0.00023808025,0.00235679,0.000383612,0.00009390788],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016891914,0.0001020171,0.0006257211,0.00000955964,0.000023567198,0.000052053914,0.003002049,0.05236637,0.00014809845,0.0064415163,0.0760581,0.8611541],"study_design_scores_gemma":[0.0016702518,0.000991733,0.0012775133,0.00008959228,0.000009750512,0.0003054409,0.000014575408,0.6058343,0.002329728,0.11947412,0.26699516,0.0010077956],"about_ca_topic_score_codex":0.0000540413,"about_ca_topic_score_gemma":0.000010565309,"teacher_disagreement_score":0.8601463,"about_ca_system_score_codex":0.00005736566,"about_ca_system_score_gemma":0.00016131224,"threshold_uncertainty_score":0.95390004},"labels":[],"label_agreement":null},{"id":"W4234648926","doi":"10.1145/1273440.1250697","title":"BulkSC","year":2007,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Computer science; Consistency (knowledge bases); Consistency model; Sequential consistency; Decoupling (probability); Parallel computing; Weak consistency; Simple (philosophy); Strong consistency; Distributed computing; Computer architecture; Data consistency; Artificial intelligence","score_opus":0.01365119999028267,"score_gpt":0.2672355191216172,"score_spread":0.2535843191313345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234648926","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023959796,0.000102689046,0.9868263,0.003114196,0.0005822194,0.00026699674,8.4550834e-7,0.0017254051,0.004985349],"genre_scores_gemma":[0.123644434,0.00001043577,0.8721519,0.003339414,0.00061468105,0.000006735295,0.000005891255,0.000023574497,0.00020294076],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974109,0.00012313112,0.00045818603,0.0007448262,0.00051081827,0.00075215293],"domain_scores_gemma":[0.99696004,0.0006432836,0.00013162334,0.0018473441,0.00013222563,0.00028546219],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00071157,0.0003132081,0.00028899583,0.0004279893,0.00024094064,0.00024323113,0.0034546757,0.00012758152,0.000012922145],"category_scores_gemma":[0.000118168275,0.00027784443,0.00015616472,0.0007736858,0.0000829879,0.0002016803,0.001737527,0.0005024866,0.000071823844],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015141346,0.000091487185,0.0005694413,0.000015696265,0.000032093558,0.00008822805,0.0016075823,0.015004964,0.00034395469,0.012159016,0.016503925,0.95356846],"study_design_scores_gemma":[0.0022149652,0.0013374811,0.012260574,0.00018309226,0.000021792377,0.00081262144,0.000022104927,0.24298488,0.015051367,0.16624989,0.5565607,0.0023005612],"about_ca_topic_score_codex":0.000050493352,"about_ca_topic_score_gemma":0.000029001007,"teacher_disagreement_score":0.9512679,"about_ca_system_score_codex":0.00005156514,"about_ca_system_score_gemma":0.00007448499,"threshold_uncertainty_score":0.9999674},"labels":[],"label_agreement":null},{"id":"W4234833047","doi":"10.1145/2508148.2485964","title":"GPUWattch","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Division of Computer and Network Systems; Division of Computing and Communication Foundations; Intel Corporation; Advanced Micro Devices; National Science Foundation","keywords":"Computer science; Frequency scaling; General-purpose computing on graphics processing units; Parallel computing; Energy consumption; Efficient energy use; Clock gating; Kernel (algebra); CUDA; Dynamic demand; Metric (unit); Embedded system; Performance metric; Power (physics); Graphics; Operating system; Clock skew; Clock signal","score_opus":0.012199544434399169,"score_gpt":0.24275915277541776,"score_spread":0.2305596083410186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234833047","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004797537,0.00007601253,0.9800016,0.0095103625,0.00041264188,0.00047855443,7.02011e-7,0.001692268,0.003030294],"genre_scores_gemma":[0.11760035,0.000015207138,0.877271,0.0042983,0.00041808412,0.000065101485,0.0000063863504,0.000025287422,0.00030027312],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975408,0.0002144234,0.00039238753,0.0007622483,0.00044937377,0.0006408024],"domain_scores_gemma":[0.99701035,0.0004024611,0.00011518766,0.0020238115,0.0001808289,0.000267386],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021762711,0.00032740828,0.0003075406,0.00030331968,0.00022633061,0.000528986,0.0037695793,0.00011538971,0.000069866284],"category_scores_gemma":[0.00008833882,0.00027551866,0.00015212556,0.0006095008,0.00007839478,0.00039722255,0.0020299805,0.00046335466,0.00041489664],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026286814,0.00008537029,0.00076549914,0.000017904295,0.00003509388,0.00001527936,0.0011800431,0.014352134,0.00047341344,0.0050910227,0.08019718,0.8977844],"study_design_scores_gemma":[0.0010985202,0.00065917877,0.00957538,0.00010419518,0.000010728506,0.00026513453,0.000009665603,0.66806495,0.0039036835,0.20534289,0.1095926,0.001373095],"about_ca_topic_score_codex":0.00016201496,"about_ca_topic_score_gemma":0.000007840265,"teacher_disagreement_score":0.89641136,"about_ca_system_score_codex":0.00003793145,"about_ca_system_score_gemma":0.0000737835,"threshold_uncertainty_score":0.9999697},"labels":[],"label_agreement":null},{"id":"W4235798468","doi":"10.1145/342001.339680","title":"Performance analysis of the Alpha 21264-based Compaq ES40 system","year":2000,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PQ Corporation (Canada)","funders":"","keywords":"Computer science; Microprocessor; Profiling (computer programming); Memory bandwidth; Operating system; Embedded system; Cache; x86; CPU cache; Benchmark (surveying); Multiprocessing; Computer architecture; Parallel computing; Software","score_opus":0.009839167229520704,"score_gpt":0.22946826073762863,"score_spread":0.21962909350810794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235798468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.114639096,0.000049226677,0.8808827,0.0012859876,0.00022194035,0.000333667,0.0000060664775,0.0006510609,0.0019302706],"genre_scores_gemma":[0.7214855,0.000006361512,0.27750233,0.00077379844,0.000095055024,0.000014485119,0.000008375066,0.00001410381,0.00009999554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971839,0.00041705708,0.00059741054,0.0006540687,0.000676789,0.00047075056],"domain_scores_gemma":[0.9963946,0.00043552785,0.000236866,0.0026494854,0.00014928398,0.00013428458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042167096,0.00032366373,0.00057360367,0.0005050187,0.0003119512,0.00013570633,0.0044855378,0.00010208655,0.00003231029],"category_scores_gemma":[0.0000242123,0.00022816575,0.00044048237,0.0028255687,0.00015015322,0.0001264993,0.00067829614,0.0003830496,0.000014985895],"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":[0.00001394696,0.00006074266,0.004173437,0.000046850986,0.00018529188,0.0000028976376,0.000553125,0.77119595,0.000041634205,0.00038274165,0.000627873,0.2227155],"study_design_scores_gemma":[0.00032267533,0.00012936445,0.01888826,0.00010049031,0.000098240635,0.000012567107,0.0000025225036,0.9733498,0.001207556,0.00010092109,0.005543453,0.00024414464],"about_ca_topic_score_codex":0.0001106309,"about_ca_topic_score_gemma":0.000025910145,"teacher_disagreement_score":0.6068464,"about_ca_system_score_codex":0.00006660732,"about_ca_system_score_gemma":0.00012713388,"threshold_uncertainty_score":0.9304329},"labels":[],"label_agreement":null},{"id":"W4235983790","doi":"10.1145/1961295.1950391","title":"Flikker","year":2011,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Dram; Correctness; Embedded system; Software; Energy consumption; Operating system; Computer hardware; Programming language","score_opus":0.029415153496564136,"score_gpt":0.24917110043450136,"score_spread":0.2197559469379372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235983790","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021093723,0.00007251567,0.98446333,0.0010664053,0.00048390654,0.00025172002,9.823252e-7,0.0016457785,0.009905978],"genre_scores_gemma":[0.0969736,0.000014364719,0.8999299,0.002564465,0.00028580954,0.000020620328,0.0000038701496,0.000024016928,0.00018340362],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99776685,0.00020078463,0.00036146652,0.00073535694,0.00037382395,0.0005617193],"domain_scores_gemma":[0.99734664,0.00019844674,0.00011603611,0.0019974883,0.00011524944,0.00022611895],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028485432,0.00030896382,0.00028358508,0.0003070014,0.00019518872,0.00015372326,0.0036755113,0.000111619825,0.000042310054],"category_scores_gemma":[0.00006790724,0.00026469064,0.00015692993,0.0005503066,0.00008671464,0.00024807136,0.0018982118,0.00042013443,0.00011499657],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022789145,0.00022107898,0.0017125008,0.000025291909,0.00007465798,0.00010090832,0.008871339,0.0034214277,0.0002126144,0.029436372,0.024512982,0.931388],"study_design_scores_gemma":[0.0023182551,0.0019485719,0.02072398,0.00020758806,0.000036950718,0.0007293736,0.000022481967,0.41066512,0.01558938,0.36836463,0.17658947,0.0028041836],"about_ca_topic_score_codex":0.00007832576,"about_ca_topic_score_gemma":0.000011983834,"teacher_disagreement_score":0.92858386,"about_ca_system_score_codex":0.000028593297,"about_ca_system_score_gemma":0.00007492667,"threshold_uncertainty_score":0.9999805},"labels":[],"label_agreement":null},{"id":"W4236154505","doi":"10.1145/1353534.1346301","title":"Predictor virtualization","year":2008,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Memory hierarchy; Virtualization; Cache; Table (database); Chip; Operating system; Parallel computing; Embedded system; Database","score_opus":0.018617896493407195,"score_gpt":0.2474290023509726,"score_spread":0.2288111058575654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236154505","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007855749,0.00008828203,0.9862101,0.0018893863,0.00046910878,0.00030492025,0.0000021058947,0.0019095485,0.0012708164],"genre_scores_gemma":[0.18457839,0.00006217503,0.812185,0.002322317,0.0005474317,0.000024116936,0.000018851784,0.00002680344,0.00023493923],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763966,0.00023964955,0.00039950263,0.0007089612,0.00054017623,0.00047206052],"domain_scores_gemma":[0.9976041,0.00031382442,0.00013479615,0.0015840412,0.00015131381,0.00021197964],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020629086,0.0002947657,0.00028522057,0.00033208504,0.00038160855,0.0001309216,0.0026332813,0.000117582334,0.000014314015],"category_scores_gemma":[0.00013507257,0.00026506904,0.00013257226,0.00070501,0.00011348117,0.0002957892,0.0012859148,0.00034305672,0.000051809267],"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":[0.000049728907,0.00048462252,0.008173434,0.000069030844,0.00015507289,0.0002872905,0.014353427,0.2266735,0.000892652,0.031007303,0.15716463,0.56068933],"study_design_scores_gemma":[0.001481522,0.00088573847,0.013201822,0.000098022356,0.000012272601,0.0009009758,0.0000050767344,0.8388156,0.002696151,0.038432263,0.102336675,0.0011338558],"about_ca_topic_score_codex":0.000027267213,"about_ca_topic_score_gemma":0.00000505793,"teacher_disagreement_score":0.61214215,"about_ca_system_score_codex":0.000044279026,"about_ca_system_score_gemma":0.00012954869,"threshold_uncertainty_score":0.99998015},"labels":[],"label_agreement":null},{"id":"W4238833058","doi":"10.1145/3261614","title":"Session details: Session 4A: Energy","year":2015,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Session (web analytics); Computer science; World Wide Web","score_opus":0.049491935420271506,"score_gpt":0.23095094694402504,"score_spread":0.18145901152375354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238833058","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11398269,0.0054069078,0.48054242,0.008604163,0.021997998,0.0007755948,0.00037628392,0.0006940494,0.3676199],"genre_scores_gemma":[0.8305187,0.00040657158,0.087539665,0.0070377197,0.0037941278,0.00009632582,0.00012974281,0.00015088051,0.07032625],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979021,0.000047680896,0.0005746271,0.0008355083,0.00009833109,0.00054174184],"domain_scores_gemma":[0.99832624,0.00014067946,0.0002476661,0.0009113863,0.000053993237,0.00032001984],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005373464,0.00028516288,0.0005367633,0.0003444034,0.00019971613,0.00016729198,0.0008692005,0.00011803446,0.00071252906],"category_scores_gemma":[0.00015984477,0.00026572822,0.0001797626,0.00028051683,0.00013208952,0.00022208785,0.001100895,0.00023509293,0.00339657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008620137,0.0001792115,0.012958048,0.000030634114,0.0001680039,0.00003323139,0.004877299,0.0037577688,0.000035241228,0.0245832,0.8022848,0.15100639],"study_design_scores_gemma":[0.0010454076,0.00013309094,0.0011303213,0.000032078733,0.0000069691528,0.00001730036,0.00017277272,0.0040314537,0.00010405052,0.060438447,0.93244725,0.00044084768],"about_ca_topic_score_codex":0.00037096112,"about_ca_topic_score_gemma":0.0000658429,"teacher_disagreement_score":0.71653605,"about_ca_system_score_codex":0.00012365225,"about_ca_system_score_gemma":0.000048903268,"threshold_uncertainty_score":0.9999795},"labels":[],"label_agreement":null},{"id":"W4241113734","doi":"10.1145/2528521.1508259","title":"RapidMRC","year":2009,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Henan Institute of Science and Technology","keywords":"Computer science; Cache; Multi-core processor; Cache algorithms; Parallel computing; Cache invalidation; Overhead (engineering); Smart Cache; Software; Process (computing); Code (set theory); Cache pollution; CPU cache; Operating system; Programming language","score_opus":0.01310465275337563,"score_gpt":0.258165818348991,"score_spread":0.24506116559561536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241113734","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001423349,0.00014032592,0.97982806,0.012376143,0.00033354913,0.00026829858,8.052764e-7,0.0018663845,0.0037630866],"genre_scores_gemma":[0.14389975,0.000024259538,0.84752196,0.007925233,0.0004697594,0.000007432896,0.0000060603334,0.0000138788255,0.00013165352],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997617,0.00020508071,0.00037645284,0.0007560964,0.00045253235,0.0005928417],"domain_scores_gemma":[0.99733156,0.0002740558,0.00011653064,0.0019367018,0.00010893586,0.00023223442],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003059415,0.00032245062,0.00031864012,0.00033845069,0.00023027821,0.0003195302,0.0035629505,0.00011154543,0.000012257015],"category_scores_gemma":[0.000089248046,0.00028183335,0.00017099937,0.00068108266,0.000052140735,0.00024672833,0.000817137,0.0004580539,0.000056910416],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007847561,0.00008654655,0.00009115757,0.000005539898,0.00001547543,0.000032169995,0.0008372315,0.015684703,0.00033767638,0.010433549,0.022356834,0.95011127],"study_design_scores_gemma":[0.001708537,0.0020469401,0.008247334,0.00014170782,0.000015724312,0.00043812004,0.000005334184,0.44863662,0.0058830003,0.35980082,0.17146024,0.0016156231],"about_ca_topic_score_codex":0.00001282495,"about_ca_topic_score_gemma":0.0000029344085,"teacher_disagreement_score":0.9484956,"about_ca_system_score_codex":0.00003691144,"about_ca_system_score_gemma":0.000079753234,"threshold_uncertainty_score":0.9999634},"labels":[],"label_agreement":null},{"id":"W4241403285","doi":"10.1145/2508148.2485969","title":"Protozoa","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Division of Computer and Network Systems; Natural Sciences and Engineering Research Council of Canada; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Division of Computing and Communication Foundations; CMC Microsystems","keywords":"Computer science; Granularity; Cache coherence; Cache; Scalability; Bus sniffing; MESI protocol; Locality of reference; Metadata; Distributed computing; Parallel computing; CPU cache; Cache algorithms; Database; Operating system","score_opus":0.012415646007593237,"score_gpt":0.24592685927918959,"score_spread":0.23351121327159635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241403285","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029787754,0.000050813218,0.9837879,0.0074963043,0.00029634623,0.001165236,7.6336875e-7,0.00173294,0.0024909403],"genre_scores_gemma":[0.06731887,0.000008624961,0.92812675,0.003638382,0.00039526357,0.00024942978,0.000006617626,0.000025408397,0.00023066316],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976156,0.00021667004,0.00038242133,0.0007379846,0.00044100266,0.0006063738],"domain_scores_gemma":[0.99720746,0.0003030548,0.000119783545,0.0019365865,0.00018323494,0.00024990644],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022075888,0.00031589041,0.0002898926,0.00028865488,0.00021712009,0.0005241467,0.003587148,0.00010774512,0.000055890778],"category_scores_gemma":[0.00009456334,0.0002619419,0.00014049871,0.00057553174,0.00007682749,0.00039751644,0.0018918699,0.00044588486,0.0002906542],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034036107,0.00009666573,0.0006911887,0.000025804806,0.000032363823,0.0000143929665,0.0011640007,0.010656943,0.00041821983,0.004918526,0.057943586,0.9240349],"study_design_scores_gemma":[0.001171731,0.00084499473,0.007888907,0.00013212896,0.000009014719,0.00025659992,0.000007786871,0.65212446,0.004993874,0.20937173,0.12183973,0.0013590432],"about_ca_topic_score_codex":0.00015212857,"about_ca_topic_score_gemma":0.0000071578024,"teacher_disagreement_score":0.92267585,"about_ca_system_score_codex":0.000036219095,"about_ca_system_score_gemma":0.00008202869,"threshold_uncertainty_score":0.99998325},"labels":[],"label_agreement":null},{"id":"W4242576920","doi":"10.1145/2872887.2750410","title":"A variable warp size architecture","year":2015,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"U.S. Department of Energy","keywords":"Parallel computing; Computer science; Sizing; Locality; Scheduling (production processes); Exploit; Microarchitecture; Performance improvement; Memory architecture; Distributed computing; Mathematics; Mathematical optimization; Engineering","score_opus":0.01952353574775083,"score_gpt":0.2558049945728984,"score_spread":0.23628145882514756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242576920","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010211389,0.00020038616,0.9825983,0.006842067,0.00084789883,0.00050961314,0.000004791892,0.0023005323,0.0056752907],"genre_scores_gemma":[0.023597717,0.000008962799,0.9697329,0.005162934,0.0008779842,0.000046269593,0.000012884838,0.000051960844,0.0005083787],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99579036,0.0005145109,0.00058998395,0.0012065924,0.00090907316,0.0009894576],"domain_scores_gemma":[0.99489677,0.001078636,0.00020953343,0.0028014793,0.00032163697,0.0006919164],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008149631,0.0005694919,0.0005715452,0.00037030497,0.00026381147,0.00051970285,0.0049519097,0.00022619656,0.000020618074],"category_scores_gemma":[0.0007510185,0.00048872706,0.0002003239,0.001278403,0.000131894,0.00030647224,0.0030076879,0.0009317608,0.00008689187],"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":[0.00008123335,0.0003208177,0.000571008,0.00006639862,0.00014546698,0.00014272433,0.007375334,0.3662467,0.00044838386,0.025057944,0.105157405,0.49438658],"study_design_scores_gemma":[0.0023300168,0.0011491637,0.00043281872,0.00015586405,0.000026388157,0.00068032404,0.000018291932,0.22265515,0.001296319,0.428044,0.34173924,0.0014724415],"about_ca_topic_score_codex":0.00013416496,"about_ca_topic_score_gemma":0.000017805545,"teacher_disagreement_score":0.49291414,"about_ca_system_score_codex":0.00010959763,"about_ca_system_score_gemma":0.00044278355,"threshold_uncertainty_score":0.99975646},"labels":[],"label_agreement":null},{"id":"W4242746803","doi":"10.1145/1555815.1555810","title":"Achieving predictable performance through better memory controller placement in many-core CMPs","year":2009,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Memory controller; Computer science; Thread (computing); Chip; Memory refresh; Interconnection; Registered memory; Embedded system; Parallel computing; Distributed computing; Computer hardware; Semiconductor memory; Computer memory; Computer network; Operating system","score_opus":0.017282648637952498,"score_gpt":0.24160847600101454,"score_spread":0.22432582736306203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242746803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25328705,0.00018599957,0.73538125,0.0052264743,0.0011572243,0.0007627017,0.0000017119214,0.00026709735,0.0037305043],"genre_scores_gemma":[0.9083921,0.00003345039,0.07891524,0.010748858,0.0014504783,0.000059315415,0.000006960031,0.000024917741,0.0003686991],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99641037,0.00025479018,0.000758192,0.00094748836,0.00062869606,0.0010004473],"domain_scores_gemma":[0.99786276,0.00034549975,0.00018598247,0.0013605859,0.00008656788,0.00015861414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006534568,0.00045459383,0.0005990807,0.0002914311,0.00025691968,0.00030820054,0.0022678874,0.00016334806,0.00003156472],"category_scores_gemma":[0.00003560103,0.00037317755,0.00018798708,0.00055416254,0.00005359592,0.00059913384,0.0007130195,0.0008558435,0.000038456914],"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":[0.0002675861,0.00035832348,0.007688814,0.00011623883,0.00013054085,0.00013904214,0.016647026,0.22282276,0.0016422605,0.0037364145,0.028151197,0.7182998],"study_design_scores_gemma":[0.0056706443,0.0022061737,0.02948669,0.0007590313,0.000020378016,0.00037443143,0.00008491092,0.8756837,0.00063864357,0.0070503554,0.07668118,0.0013438053],"about_ca_topic_score_codex":0.00007430556,"about_ca_topic_score_gemma":0.000057438032,"teacher_disagreement_score":0.716956,"about_ca_system_score_codex":0.00013891543,"about_ca_system_score_gemma":0.00006522365,"threshold_uncertainty_score":0.999872},"labels":[],"label_agreement":null},{"id":"W4243187110","doi":"10.1145/1327312.1327316","title":"Investigating cache energy and latency break-even points in high performance processors","year":2007,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Cache; Cache algorithms; Computer science; Cache pollution; Smart Cache; Cache invalidation; Cache coloring; Parallel computing; Latency (audio); Page cache; MESI protocol; Efficient energy use; CPU cache; Telecommunications; Engineering","score_opus":0.011450869891126132,"score_gpt":0.23857634642840048,"score_spread":0.22712547653727436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243187110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29405418,0.000093122486,0.70344526,0.0014703427,0.00011296399,0.00014445504,5.6750224e-7,0.00038470718,0.00029439494],"genre_scores_gemma":[0.5232311,0.000029448569,0.4753035,0.001245786,0.00012772508,0.000008253428,0.0000045371,0.00001637296,0.0000333023],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99747545,0.000164167,0.00052516075,0.0007610816,0.00039736333,0.0006767885],"domain_scores_gemma":[0.99824506,0.00044945665,0.00017287978,0.000802025,0.000099986224,0.00023062101],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00082490325,0.00032792529,0.0003346064,0.00050828914,0.00019826111,0.00017022871,0.0016307505,0.00014260452,0.0000020710224],"category_scores_gemma":[0.00013427975,0.000297006,0.000045211833,0.0009374218,0.00012120053,0.00031889635,0.0013208285,0.00043953204,0.000002681659],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012489971,0.000080781116,0.03207297,0.00008096128,0.000019762912,0.00003970012,0.0047119325,0.026772782,0.00030975844,0.0032276034,0.00051587645,0.9321554],"study_design_scores_gemma":[0.0022275199,0.0008889934,0.15653728,0.0006735577,0.000013090862,0.0004387126,0.000022706121,0.7448495,0.011581343,0.075042374,0.0061004735,0.0016244428],"about_ca_topic_score_codex":0.0003333789,"about_ca_topic_score_gemma":0.0001937326,"teacher_disagreement_score":0.93053097,"about_ca_system_score_codex":0.000055060533,"about_ca_system_score_gemma":0.000099969104,"threshold_uncertainty_score":0.9999482},"labels":[],"label_agreement":null},{"id":"W4243453813","doi":"10.1145/384285.379260","title":"Code layout optimizations for transaction processing workloads","year":2001,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PQ Corporation (Canada)","funders":"","keywords":"Computer science; Online transaction processing; Operating system; Compiler; Cache; Parallel computing; Transaction processing; Optimizing compiler; Database transaction; Database","score_opus":0.02426083167866355,"score_gpt":0.2857617733199926,"score_spread":0.26150094164132903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243453813","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00059168093,0.00015393402,0.99010557,0.0059372066,0.0003318668,0.0006819251,0.000004832181,0.001558799,0.00063418597],"genre_scores_gemma":[0.070492685,0.000047342706,0.92697906,0.0015973395,0.00046109734,0.00010787724,0.000026467605,0.00003818065,0.00024993034],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768907,0.00013924218,0.0004492043,0.0007818513,0.00034898665,0.0005916245],"domain_scores_gemma":[0.997999,0.0003690661,0.0001627482,0.0010347826,0.00024397674,0.00019041865],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003186731,0.00032857456,0.00031946853,0.00036036657,0.00052415556,0.00043293452,0.0019724777,0.00014379178,0.000009047649],"category_scores_gemma":[0.00007672418,0.0003077805,0.00018155061,0.0008661088,0.00006886572,0.0003894195,0.0003061945,0.0003437573,0.000007849836],"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":[0.000022309516,0.000075255615,0.00013557314,0.000023272463,0.000018760984,0.0000054277452,0.0011616938,0.46355927,0.00006430583,0.0005641475,0.0024137474,0.5319562],"study_design_scores_gemma":[0.0006715338,0.00022484176,0.00018445945,0.0000879694,0.00001407362,0.00010465189,0.000006338764,0.946655,0.00037999332,0.009895342,0.04138218,0.00039365885],"about_ca_topic_score_codex":0.000015398778,"about_ca_topic_score_gemma":0.000028303723,"teacher_disagreement_score":0.53156257,"about_ca_system_score_codex":0.00005996719,"about_ca_system_score_gemma":0.00013771866,"threshold_uncertainty_score":0.9999374},"labels":[],"label_agreement":null},{"id":"W4243851141","doi":"10.1145/378995.379242","title":"OS and compiler considerations in the design of the IA-64 architecture","year":2000,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hewlett-Packard (Canada)","funders":"Scheme for Promotion of Academic and Research Collaboration","keywords":"Computer science; Compiler; Instruction-level parallelism; Instruction set; Computer architecture; Exploit; Parallelism (grammar); Architecture; Pace; Parallel computing; Processor register; Addressing mode; Programming language; Operating system; Instructions per cycle; Memory address","score_opus":0.01992550735666685,"score_gpt":0.25780068692827274,"score_spread":0.2378751795716059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243851141","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010173266,0.00020888848,0.97577906,0.012053194,0.00010820971,0.00084804295,0.0000036447393,0.00017069005,0.00065501337],"genre_scores_gemma":[0.4544429,0.000026569323,0.54043627,0.004880196,0.00011868253,0.00003484332,0.0000021002572,0.00001407804,0.000044362132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99701816,0.0011596028,0.00046316028,0.0005242424,0.00044736025,0.0003874953],"domain_scores_gemma":[0.9961781,0.0019397017,0.0001241688,0.0016167684,0.000067578534,0.00007370006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006534665,0.00028289264,0.0003112943,0.00018787809,0.00032682827,0.0002190924,0.0023171294,0.000099417215,0.000029768884],"category_scores_gemma":[0.00012626394,0.00016532376,0.00010943076,0.00065193255,0.00027424024,0.000104381616,0.0006091737,0.0006689578,0.000004420036],"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":[0.000020566136,0.000149605,0.0010154477,0.000027671875,0.000035737692,0.000019599913,0.013647663,0.66710377,0.00022467299,0.005298595,0.010883863,0.3015728],"study_design_scores_gemma":[0.0024133571,0.000834472,0.042703707,0.0003669856,0.000040392253,0.0012154663,0.000046278496,0.56939065,0.0019021024,0.3511756,0.028779326,0.001131628],"about_ca_topic_score_codex":0.00007390665,"about_ca_topic_score_gemma":0.000057133606,"teacher_disagreement_score":0.44426963,"about_ca_system_score_codex":0.00001744307,"about_ca_system_score_gemma":0.0001141931,"threshold_uncertainty_score":0.67417073},"labels":[],"label_agreement":null},{"id":"W4244472522","doi":"10.1145/384285.379265","title":"Power and energy reduction via pipeline balancing","year":2001,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PQ Corporation (Canada)","funders":"","keywords":"Pipeline (software); Computer science; Queue; Reduction (mathematics); Power (physics); Embedded system; Energy (signal processing); Dissipation; Chip; Efficient energy use; Power budget; Component (thermodynamics); Real-time computing; Operating system; Electric power system; Engineering; Computer network; Electrical engineering","score_opus":0.0076780024742064135,"score_gpt":0.23428634659511988,"score_spread":0.22660834412091346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244472522","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00391575,0.00023149759,0.9885495,0.003873734,0.00047860175,0.00009919637,5.396502e-7,0.00091693935,0.0019342548],"genre_scores_gemma":[0.34622186,0.00011022068,0.6508933,0.001923381,0.00048366026,0.000011523462,0.0000071160207,0.000022946146,0.00032605234],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793255,0.0001882505,0.00035240926,0.00073201925,0.00033099076,0.00046377076],"domain_scores_gemma":[0.9983011,0.00017888768,0.0001198361,0.0010855707,0.00011345229,0.00020114022],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026816502,0.00028771078,0.0002772124,0.00031999778,0.00023650912,0.0002237861,0.0012164308,0.00010885613,0.000012045005],"category_scores_gemma":[0.00004494788,0.00025965399,0.000085818814,0.0005453491,0.00007574483,0.0002413141,0.0011089144,0.00030785755,0.0000072357047],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019451321,0.00006845845,0.00036666598,0.0000094636325,0.000023897079,0.000044123553,0.0012269046,0.015561264,0.0012716269,0.0025894572,0.009651792,0.9691669],"study_design_scores_gemma":[0.0009057708,0.00052003737,0.0013777963,0.00009600111,0.000010738299,0.0022235708,0.0000091392885,0.778718,0.0022599103,0.04581094,0.1672168,0.00085128896],"about_ca_topic_score_codex":0.000100011675,"about_ca_topic_score_gemma":0.000012673593,"teacher_disagreement_score":0.9683156,"about_ca_system_score_codex":0.000037253038,"about_ca_system_score_gemma":0.00004386874,"threshold_uncertainty_score":0.9999856},"labels":[],"label_agreement":null},{"id":"W4244991550","doi":"10.1145/2872887.2750395","title":"C <scp>lean</scp>","year":2015,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Overhead (engineering); Synchronization (alternating current); Semantics (computer science); Parsec; Software; Exploit; Parallel computing; Source lines of code; Compiler; Programming language; Computer security; Computer network; Channel (broadcasting)","score_opus":0.02692758436438008,"score_gpt":0.2657138716817513,"score_spread":0.23878628731737123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244991550","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063974196,0.00022738213,0.9807589,0.0020824883,0.0007846881,0.000333589,0.0000019717263,0.0021050829,0.0073084724],"genre_scores_gemma":[0.055909675,0.00001357514,0.9389744,0.0035967124,0.00079729105,0.00002600992,0.000013119316,0.00003973609,0.00062952045],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968701,0.00025989226,0.0004535157,0.00090886257,0.00074284896,0.00076475844],"domain_scores_gemma":[0.9960434,0.00077784236,0.00017023309,0.0021800348,0.00026526718,0.00056321465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006282384,0.0004067567,0.00040034708,0.00040597114,0.00019282014,0.00039354348,0.0042885076,0.00015523558,0.0000026833927],"category_scores_gemma":[0.0005621793,0.00035945565,0.00017124644,0.0008529202,0.00010471766,0.00030062086,0.002630021,0.00059434155,0.00015110995],"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":[0.000007587442,0.0002127437,0.0013176912,0.00003138294,0.00008325441,0.00012549038,0.0091392575,0.08955049,0.00010859568,0.015180655,0.4235409,0.46070197],"study_design_scores_gemma":[0.0016402955,0.0009860786,0.0009908219,0.00009249279,0.000015820622,0.0003855594,0.00004217951,0.4100462,0.0025460161,0.15519208,0.42755872,0.00050374435],"about_ca_topic_score_codex":0.000051771978,"about_ca_topic_score_gemma":0.000012041517,"teacher_disagreement_score":0.46019822,"about_ca_system_score_codex":0.000073913594,"about_ca_system_score_gemma":0.00023435392,"threshold_uncertainty_score":0.99988574},"labels":[],"label_agreement":null},{"id":"W4244995015","doi":"10.1145/2508148.2485949","title":"A hardware evaluation of cache partitioning to improve utilization and energy-efficiency while preserving responsiveness","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":33,"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":"Samsung; Nokia; University of California; Oracle; Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Economía y Competitividad; Mountain Equipment Co-operative; Microsoft; Nvidia; Intel Corporation","keywords":"Computer science; Cache; Partition (number theory); Parallel computing; Throughput; Scheduling (production processes); Efficient energy use; x86; Multi-core processor; Energy consumption; Slowdown; Cache algorithms; CPU cache; Overhead (engineering); Embedded system; Operating system; Software","score_opus":0.040754326727959776,"score_gpt":0.292253437584214,"score_spread":0.25149911085625426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244995015","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05752601,0.00019813929,0.939357,0.0015432563,0.00017550465,0.00051894697,0.0000026004839,0.00027094214,0.00040760147],"genre_scores_gemma":[0.63631046,0.000012077378,0.36283737,0.0005187619,0.000101479935,0.00014726758,0.000011174908,0.000015591593,0.000045837864],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972443,0.0006231203,0.00042348306,0.0006676714,0.00068904407,0.00035238077],"domain_scores_gemma":[0.9973084,0.00043158815,0.00018139962,0.0010656465,0.000841436,0.00017156005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000901307,0.0002241005,0.0002612512,0.0003840852,0.0002156736,0.00025913617,0.0012754166,0.0000875558,0.000020137193],"category_scores_gemma":[0.00049854716,0.00020732888,0.00006134509,0.0007084706,0.00005383936,0.00037045928,0.0015958368,0.0001618125,0.0000044032463],"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":[0.000013287163,0.000071893664,0.0006609836,0.000043652275,0.000023117402,0.0000012030672,0.0032327806,0.1762191,0.0034641419,0.0017392085,0.0020133122,0.8125173],"study_design_scores_gemma":[0.00038192494,0.0002980354,0.006495708,0.00012859452,0.000013877661,0.000011627197,0.000016932638,0.97108686,0.0076625724,0.01169237,0.0019567173,0.00025478785],"about_ca_topic_score_codex":0.00029109276,"about_ca_topic_score_gemma":0.000036921916,"teacher_disagreement_score":0.81226254,"about_ca_system_score_codex":0.00005309108,"about_ca_system_score_gemma":0.00016307269,"threshold_uncertainty_score":0.8454626},"labels":[],"label_agreement":null},{"id":"W4246674545","doi":"10.1145/3261611","title":"Session details: Session 1A: Persistent Memory","year":2015,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Ferroelectric and Negative Capacitance Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Computer science; Psychology; World Wide Web","score_opus":0.02483715238102159,"score_gpt":0.23808143974830454,"score_spread":0.21324428736728296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246674545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6917933,0.0036606025,0.2910304,0.0014207392,0.002163712,0.00065138977,0.000010960698,0.0011951422,0.008073699],"genre_scores_gemma":[0.9719744,0.000069602014,0.025976578,0.0007208592,0.00094707595,0.00003388669,0.000025195008,0.00007081258,0.00018161706],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998054,0.00014987671,0.000307134,0.00042475175,0.0004971302,0.0005670721],"domain_scores_gemma":[0.99849296,0.00027182008,0.00005202918,0.0006817737,0.00011866144,0.00038272984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022179956,0.0003746604,0.00036865028,0.00022231249,0.00011272525,0.00007309429,0.0006822882,0.00014263099,0.000035774552],"category_scores_gemma":[0.00009690786,0.00029656896,0.00019483386,0.00040840468,0.000077791075,0.00017887319,0.00023768908,0.0006273581,0.000101075035],"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":[0.00013481977,0.000082671024,0.0009276649,0.00020732688,0.00021458298,0.000085731874,0.009890118,0.12931082,0.007114403,0.000043523152,0.0630138,0.7889745],"study_design_scores_gemma":[0.007193882,0.0030600037,0.0050433534,0.0013098106,0.00025969502,0.00064124045,0.002574085,0.6711829,0.03154764,0.010914838,0.2623449,0.003927679],"about_ca_topic_score_codex":0.000018214982,"about_ca_topic_score_gemma":0.000036500922,"teacher_disagreement_score":0.7850469,"about_ca_system_score_codex":0.0001638366,"about_ca_system_score_gemma":0.00006520266,"threshold_uncertainty_score":0.9999486},"labels":[],"label_agreement":null},{"id":"W4247144579","doi":"10.1145/3140659.3080216","title":"LogCA","year":2017,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Scheme for Promotion of Academic and Research Collaboration; University of Wisconsin-Madison; National Science Foundation","keywords":"Computer science; Oracle; Interface (matter); Variety (cybernetics); Computer architecture; Embedded system; Efficient energy use; Parallel computing; Computer engineering; Software engineering; Artificial intelligence","score_opus":0.022161563914710247,"score_gpt":0.2852843903068958,"score_spread":0.26312282639218554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247144579","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002198751,0.00005846965,0.97938013,0.0104466975,0.0006970532,0.00024043539,0.0000014531548,0.0010563087,0.0059207175],"genre_scores_gemma":[0.20543762,0.000022720576,0.7918811,0.0018228734,0.0005556905,0.00001551811,0.0000035336582,0.000020463527,0.00024049424],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781567,0.00014424784,0.00031208553,0.0007665533,0.0004086965,0.00055277155],"domain_scores_gemma":[0.9945664,0.00026799357,0.00024603016,0.004586785,0.00011623371,0.00021657755],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0003390647,0.00029872474,0.00030872365,0.00020425211,0.00096997,0.0011143218,0.008089072,0.00011396862,0.000011875052],"category_scores_gemma":[0.00026669758,0.0002602218,0.00016665224,0.00013924211,0.00015991197,0.0004050932,0.0039777234,0.0004487235,0.00007871585],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009003062,0.00007274278,0.0019691123,0.000017665123,0.00004012867,0.00006846362,0.00086246175,0.007987651,0.00017305242,0.011415063,0.023460595,0.95392406],"study_design_scores_gemma":[0.0019337626,0.0008157025,0.033577148,0.00020413716,0.00002018598,0.0003610749,0.00000460428,0.48804846,0.005119991,0.23243318,0.23574546,0.0017362754],"about_ca_topic_score_codex":0.0000818909,"about_ca_topic_score_gemma":0.000023698487,"teacher_disagreement_score":0.9521878,"about_ca_system_score_codex":0.000030932046,"about_ca_system_score_gemma":0.0000881248,"threshold_uncertainty_score":0.999985},"labels":[],"label_agreement":null},{"id":"W4247380146","doi":"10.1145/2490301.2451157","title":"Traffic management","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Locality; Operating system; Linux kernel; Page fault; Embedded system; Virtual memory; Memory management; Computer network; Semiconductor memory","score_opus":0.01037751646823844,"score_gpt":0.23471069714375423,"score_spread":0.22433318067551578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247380146","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063860235,0.00006993524,0.9813314,0.0053095706,0.00036475065,0.0006411961,4.978255e-7,0.0017144515,0.0041821795],"genre_scores_gemma":[0.11519151,0.000027408712,0.88112754,0.0029108594,0.00024439246,0.000087524124,0.0000058687256,0.000022907238,0.0003819876],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99766517,0.00017306491,0.00036803822,0.00075408746,0.00044243157,0.000597188],"domain_scores_gemma":[0.997535,0.00021321425,0.000098209,0.0018308723,0.00009938721,0.00022331173],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019494601,0.00031400274,0.00026737768,0.00035658584,0.00020523714,0.0004637282,0.0034682492,0.00008473461,0.0000457034],"category_scores_gemma":[0.000020785545,0.00026963305,0.00014410933,0.0006000623,0.0000632095,0.0002910435,0.0018578933,0.00034446074,0.0003127845],"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":[0.0000018139848,0.0000650752,0.000053919088,0.000021310405,0.000036990674,0.000019122972,0.0005948219,0.058267616,0.00002979593,0.003608411,0.03546611,0.901835],"study_design_scores_gemma":[0.0010689374,0.0004419362,0.0047575813,0.00011048261,0.000014535673,0.00014905026,0.000013597502,0.84891886,0.0004937728,0.057871114,0.08512206,0.0010380689],"about_ca_topic_score_codex":0.000029337838,"about_ca_topic_score_gemma":0.0000041027024,"teacher_disagreement_score":0.90079695,"about_ca_system_score_codex":0.000039701914,"about_ca_system_score_gemma":0.000029605753,"threshold_uncertainty_score":0.99997556},"labels":[],"label_agreement":null},{"id":"W4248503218","doi":"10.1145/2508148.2485947","title":"Cooperative boosting","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Boosting (machine learning); Workload; Computer science; Power management; Central processing unit; Performance improvement; Supercomputer; Parallel computing; Computer engineering; Coupling (piping); Thermal; Efficient energy use; Computational science; Power (physics); Operating system; Artificial intelligence; Engineering; Electrical engineering","score_opus":0.014169024254918595,"score_gpt":0.24972456115949027,"score_spread":0.23555553690457168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248503218","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005258209,0.0000795204,0.9831064,0.0059326584,0.0003185832,0.0005345944,8.784e-7,0.0014279069,0.0033412604],"genre_scores_gemma":[0.14967056,0.000010343218,0.84557647,0.004035509,0.0003740532,0.000062636005,0.000006802344,0.000023432698,0.00024020192],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976022,0.00027070448,0.0003980024,0.00074271235,0.0003875277,0.00059885235],"domain_scores_gemma":[0.9973133,0.0005968145,0.0001263311,0.001464444,0.00026445574,0.00023466347],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023170607,0.00032873463,0.0003124048,0.00025618015,0.00032098044,0.00059851405,0.0028601913,0.00010000877,0.000049559298],"category_scores_gemma":[0.00018947564,0.00027496048,0.00011731586,0.0006071147,0.000086130225,0.00044162959,0.0018895759,0.0004908134,0.00023231108],"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":[0.000003940344,0.00008961169,0.00069689844,0.000020035981,0.000050923893,0.000022203676,0.0029020468,0.054019485,0.0009405144,0.0064115995,0.049336094,0.88550663],"study_design_scores_gemma":[0.00082540046,0.000599147,0.0037219175,0.000120877674,0.000007808624,0.00017886108,0.00001620549,0.90991837,0.0042777457,0.04905577,0.030268963,0.0010089471],"about_ca_topic_score_codex":0.00014212642,"about_ca_topic_score_gemma":0.0000091142865,"teacher_disagreement_score":0.8844977,"about_ca_system_score_codex":0.000041483134,"about_ca_system_score_gemma":0.00009054598,"threshold_uncertainty_score":0.99997026},"labels":[],"label_agreement":null},{"id":"W4249552604","doi":"10.1145/1273440.1250676","title":"An integrated hardware-software approach to flexible transactional memory","year":2007,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Transactional memory; Computer science; Software transactional memory; Thread (computing); Copying; Speedup; Asynchronous communication; Software; Operating system; Commit; Parallel computing; Embedded system; Distributed computing; Database transaction; Programming language; Computer network; Database","score_opus":0.016164649540846,"score_gpt":0.26127528379755494,"score_spread":0.24511063425670893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249552604","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006419653,0.000067440094,0.9883115,0.00083144364,0.0011511229,0.00067184493,0.00005022417,0.0010254678,0.0014712886],"genre_scores_gemma":[0.19007212,0.0000013874312,0.8059688,0.0026604005,0.0008683978,0.000048951544,0.00010424906,0.000040836276,0.0002348603],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99596626,0.00021067615,0.0006327068,0.0012956259,0.0008982536,0.0009964713],"domain_scores_gemma":[0.9963726,0.0003063291,0.000113416885,0.0021774804,0.00026378073,0.0007663977],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00088154443,0.0004944768,0.00050460093,0.00045756102,0.00031032838,0.00043178827,0.003931089,0.00019163817,0.000023353188],"category_scores_gemma":[0.00006488785,0.00042397546,0.00021377587,0.0013787856,0.00008153918,0.00048883626,0.0003703035,0.00074529974,0.000076487886],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009071776,0.00038054018,0.0002612565,0.000049017093,0.00006230013,0.00005067319,0.0037056014,0.05407462,0.00089175353,0.0013334095,0.0060567046,0.9330434],"study_design_scores_gemma":[0.0036609252,0.0020203001,0.028559778,0.0002603228,0.000039166767,0.0011754731,0.0003017117,0.104539715,0.010029712,0.006252347,0.83984995,0.0033106122],"about_ca_topic_score_codex":0.0002530822,"about_ca_topic_score_gemma":0.00010633027,"teacher_disagreement_score":0.9297328,"about_ca_system_score_codex":0.00012431761,"about_ca_system_score_gemma":0.00019133286,"threshold_uncertainty_score":0.9998212},"labels":[],"label_agreement":null},{"id":"W4249623003","doi":"10.1145/2490301.2451118","title":"GPUDet","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Parallel computing; Debugging; Scalability; Nondeterministic algorithm; Thread (computing); Compiler; Multi-core processor; Massively parallel; Correctness; Graphics; Programming language; Operating system; Theoretical computer science","score_opus":0.01180817367756907,"score_gpt":0.24224857403433173,"score_spread":0.23044040035676266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249623003","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004258449,0.00007445989,0.9817758,0.008268911,0.00039976498,0.00046013252,7.919642e-7,0.0016768175,0.0030848666],"genre_scores_gemma":[0.10763651,0.000014648917,0.88704044,0.004529779,0.0004146174,0.0000612615,0.000006522798,0.000024233052,0.0002719862],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99762917,0.00021121862,0.0003791214,0.000732941,0.0004345926,0.0006129377],"domain_scores_gemma":[0.99708533,0.00039540246,0.00011469835,0.001977559,0.00016570956,0.00026128837],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002120016,0.00031702296,0.0002978784,0.00030117232,0.00021424703,0.0005207641,0.0037196178,0.000110610024,0.00006727052],"category_scores_gemma":[0.00009128851,0.0002677428,0.00014734328,0.00057782914,0.00007714843,0.00038770665,0.001995013,0.00044223745,0.0003857519],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002698746,0.00008230717,0.000638873,0.000017037555,0.000033972607,0.000015672307,0.0011590691,0.01510389,0.00042461322,0.005441293,0.08539848,0.8916821],"study_design_scores_gemma":[0.0010413353,0.00066340086,0.009220078,0.0000998658,0.000009886125,0.00025043933,0.000008518337,0.66575027,0.003270099,0.2020507,0.11634247,0.0012929378],"about_ca_topic_score_codex":0.00014440472,"about_ca_topic_score_gemma":0.000008193902,"teacher_disagreement_score":0.89038914,"about_ca_system_score_codex":0.00003572516,"about_ca_system_score_gemma":0.00007156389,"threshold_uncertainty_score":0.99997747},"labels":[],"label_agreement":null},{"id":"W4249681596","doi":"10.1145/2980024.2872395","title":"LDX","year":2016,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Defense Advanced Research Projects Agency","keywords":"Computer science; Overhead (engineering); Compiler; Causality (physics); Determinism; Event (particle physics); Scheme (mathematics); Inference; Real-time computing; Distributed computing; Programming language; Artificial intelligence","score_opus":0.019196138216210405,"score_gpt":0.25284261516505774,"score_spread":0.23364647694884733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249681596","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010745957,0.00007137332,0.9633856,0.022805644,0.0010639488,0.00020479324,0.0000023013417,0.0006448597,0.0010755473],"genre_scores_gemma":[0.43822706,0.000019975483,0.55648124,0.0037722986,0.0012649602,0.000022004706,0.0000020048751,0.000023844716,0.00018664739],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975178,0.00021715689,0.00037394842,0.0008284527,0.00047241183,0.000590211],"domain_scores_gemma":[0.99611336,0.0011791501,0.00012101592,0.0022418823,0.00010895879,0.00023563037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034765658,0.00026845426,0.00024539515,0.00023053354,0.00023577204,0.00021644309,0.0038523877,0.000098176955,0.000045284763],"category_scores_gemma":[0.00018937656,0.0001800402,0.00015242469,0.0004866522,0.00011084164,0.00031773062,0.0017682133,0.00027137558,0.0003041897],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069400903,0.00004381314,0.0006457744,0.000009919101,0.00002231174,0.000016502516,0.0010810302,0.00012745637,0.0019850999,0.030825924,0.0064467555,0.95878845],"study_design_scores_gemma":[0.0023332196,0.0005703567,0.012237692,0.00027385674,0.00001285258,0.00041655105,0.000011985235,0.023050709,0.010524827,0.25831178,0.690796,0.0014601398],"about_ca_topic_score_codex":0.000020595799,"about_ca_topic_score_gemma":0.000012135243,"teacher_disagreement_score":0.9573283,"about_ca_system_score_codex":0.000057892343,"about_ca_system_score_gemma":0.00009958944,"threshold_uncertainty_score":0.73418266},"labels":[],"label_agreement":null},{"id":"W4251131822","doi":"10.1145/2786763.2694394","title":"Dual Execution for On the Fly Fine Grained Execution Comparison","year":2015,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Defense Advanced Research Projects Agency; National Science Foundation","keywords":"Computer science; Debugging; Reuse; Identification (biology); Distributed computing; Programming language","score_opus":0.07261865442083672,"score_gpt":0.30802820684058124,"score_spread":0.23540955241974454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251131822","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012450283,0.000059807648,0.9632173,0.017553123,0.00074168626,0.0008519,0.000006945823,0.0048396713,0.000279252],"genre_scores_gemma":[0.44477147,0.0000010469354,0.5514228,0.0027205518,0.00080498424,0.0001624283,0.000031256055,0.000028321687,0.0000571573],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99732083,0.0003218969,0.00042176625,0.00072902,0.0006317702,0.000574707],"domain_scores_gemma":[0.99487555,0.0026637297,0.00018579421,0.001797641,0.0002515539,0.00022572509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010655714,0.00035735386,0.0003493406,0.00023764264,0.0003346805,0.00029577824,0.0020226138,0.00012448967,0.0000019622578],"category_scores_gemma":[0.0014901247,0.00024493955,0.00017216343,0.0005035924,0.000118020165,0.0001427467,0.00084816,0.00049029005,0.000022108352],"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":[0.00012643043,0.00019612923,0.0005782672,0.000023702672,0.00004040645,0.000013226147,0.003985554,0.0038543409,0.00020848641,0.018171746,0.52047765,0.45232403],"study_design_scores_gemma":[0.001752109,0.0032966563,0.0016644701,0.00019961463,0.000027013628,0.00015224551,0.000017161025,0.34615186,0.0030225962,0.56564903,0.07723372,0.0008335073],"about_ca_topic_score_codex":0.00009880206,"about_ca_topic_score_gemma":0.00003519346,"teacher_disagreement_score":0.5474773,"about_ca_system_score_codex":0.000100980054,"about_ca_system_score_gemma":0.0001409575,"threshold_uncertainty_score":0.9988345},"labels":[],"label_agreement":null},{"id":"W4251628355","doi":"10.1145/2024723.2000113","title":"DBAR","year":2011,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Workload; Distributed computing; Computer network; Network congestion; Overhead (engineering); Routing (electronic design automation)","score_opus":0.03189074900865286,"score_gpt":0.22797246316031655,"score_spread":0.1960817141516637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251628355","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007388858,0.0000755486,0.976298,0.0009937754,0.0023383875,0.000270341,0.000001071733,0.00048326835,0.01215076],"genre_scores_gemma":[0.6157374,0.000007115342,0.37968498,0.00286814,0.0012841148,0.000033279535,0.000002501572,0.000027396856,0.0003550894],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977329,0.00024157156,0.00039706822,0.0006914769,0.0003585132,0.00057846395],"domain_scores_gemma":[0.9974759,0.00021372299,0.000107500404,0.0018702843,0.000102630314,0.00022994583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032350875,0.0002835038,0.00030201825,0.00023024963,0.00018565553,0.00017294673,0.0030230223,0.000110725,0.000089485955],"category_scores_gemma":[0.000037988666,0.00022839423,0.0001972743,0.00042535312,0.00006322059,0.00025644177,0.0012402569,0.00043113396,0.00024303001],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003738194,0.00017264603,0.0017791492,0.00003694619,0.00012736842,0.00017190301,0.016878655,0.0010557426,0.00035620254,0.06465228,0.03410665,0.88062507],"study_design_scores_gemma":[0.0026944415,0.002583508,0.016586857,0.00030261435,0.00003476067,0.0019543325,0.000099617326,0.1752263,0.0043656174,0.22462283,0.5687951,0.0027340217],"about_ca_topic_score_codex":0.00019830176,"about_ca_topic_score_gemma":0.000099977704,"teacher_disagreement_score":0.87789106,"about_ca_system_score_codex":0.000033348093,"about_ca_system_score_gemma":0.000052911364,"threshold_uncertainty_score":0.93136466},"labels":[],"label_agreement":null},{"id":"W4252037250","doi":"10.1145/1168919.1168908","title":"A probabilistic pointer analysis for speculative optimizations","year":2006,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pointer analysis; Computer science; Pointer (user interface); Optimizing compiler; Abstract interpretation; Compiler; Probabilistic logic; Correctness; Algorithm; Test suite; Theoretical computer science; Static analysis; Programming language; Parallel computing; Test case; Artificial intelligence","score_opus":0.01450668868269466,"score_gpt":0.262033830360134,"score_spread":0.24752714167743933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252037250","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012825513,0.000040903153,0.9926664,0.003058365,0.00016489699,0.0008083417,0.000013368223,0.000888327,0.0010768473],"genre_scores_gemma":[0.12563244,0.0000021999956,0.8728415,0.00069369894,0.00034878872,0.000102101025,0.00008895669,0.00002316723,0.00026719665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755925,0.00018460552,0.0005185374,0.0008811812,0.0003314276,0.0005249782],"domain_scores_gemma":[0.99720025,0.00074687426,0.00019249128,0.0014319276,0.00030474298,0.00012369225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002723044,0.00033367935,0.0004457825,0.0007193174,0.00028977563,0.00035976013,0.0019382439,0.00009807124,0.000013756395],"category_scores_gemma":[0.00013268119,0.00029550018,0.00041945602,0.0016883049,0.00009278272,0.00018727187,0.00078392145,0.00022646901,0.00000819575],"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":[0.0000109103,0.0001054588,0.00062278996,0.000014669898,0.0001692255,0.0000047644385,0.00042931462,0.96444494,0.00002208684,0.019313168,0.0046889493,0.010173731],"study_design_scores_gemma":[0.00055757764,0.00017659852,0.0025604535,0.0000184648,0.00008427369,0.000012192855,0.0000018205203,0.9077023,0.00020200183,0.08356357,0.004765198,0.0003555414],"about_ca_topic_score_codex":0.00009620088,"about_ca_topic_score_gemma":0.00010825668,"teacher_disagreement_score":0.12434989,"about_ca_system_score_codex":0.000071865165,"about_ca_system_score_gemma":0.00008431189,"threshold_uncertainty_score":0.9999497},"labels":[],"label_agreement":null},{"id":"W4253753479","doi":"10.1145/2786763.2694380","title":"Protecting Data on Smartphones and Tablets from Memory Attacks","year":2015,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Computer science; Embedded system; Dram; Computer hardware; Code (set theory); Class (philosophy); Memory protection; Mobile device; Operating system; Computer security; Computer data storage; Registered memory; Extended memory","score_opus":0.09310083894900183,"score_gpt":0.30397310208659034,"score_spread":0.2108722631375885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253753479","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08937079,0.00028647078,0.8985042,0.009055445,0.0013089728,0.0004923698,0.00001744143,0.00047475478,0.00048956904],"genre_scores_gemma":[0.37420624,0.000010456035,0.6200593,0.0036415579,0.0019122552,0.000025888252,0.00006508804,0.000035517656,0.000043691634],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99663347,0.000474711,0.00040304827,0.0013600957,0.0006204095,0.0005082358],"domain_scores_gemma":[0.9941381,0.0015116615,0.00017687753,0.0036980258,0.000115348266,0.00035996333],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009936597,0.0003359258,0.0003397937,0.00020021833,0.00036441255,0.00053720817,0.0044670627,0.000122043275,0.000006745133],"category_scores_gemma":[0.00065708626,0.0003004567,0.0000481922,0.0004313795,0.00010486761,0.0004438486,0.005133929,0.0008425711,0.000057950223],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004724409,0.00010735792,0.0008239019,0.000030849285,0.0000638472,0.000046755973,0.010883707,0.0036891152,0.0004106388,0.00068945653,0.013318597,0.9698885],"study_design_scores_gemma":[0.0031688467,0.0008746231,0.006436525,0.00038396206,0.000030730713,0.00027693703,0.00025022475,0.76423585,0.0034845388,0.061144486,0.15809819,0.0016150688],"about_ca_topic_score_codex":0.00048256695,"about_ca_topic_score_gemma":0.000091917194,"teacher_disagreement_score":0.96827346,"about_ca_system_score_codex":0.000046582376,"about_ca_system_score_gemma":0.00016285678,"threshold_uncertainty_score":0.99994475},"labels":[],"label_agreement":null},{"id":"W4253914488","doi":"10.1145/2490301.2451124","title":"Power containers","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Server; Computer science; Multi-core processor; Cloud computing; Power management; Operating system; Efficient energy use; Power (physics); Power budget; Embedded system; Distributed computing; Power control; Engineering","score_opus":0.007417182075350998,"score_gpt":0.2169103768373817,"score_spread":0.2094931947620307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253914488","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16595297,0.00009344359,0.8034358,0.020968568,0.0009031276,0.0006467104,5.962374e-7,0.000830137,0.007168619],"genre_scores_gemma":[0.75732297,0.0000019741976,0.23318952,0.008114839,0.00053128274,0.000051103238,0.0000024183519,0.00003268553,0.00075322454],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99712974,0.00020698464,0.00039269135,0.000871568,0.00058501423,0.0008140014],"domain_scores_gemma":[0.99674845,0.00044853843,0.00011352813,0.0022523175,0.00011440733,0.000322752],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002601123,0.00037521956,0.00034836587,0.00029340576,0.00023550077,0.000524057,0.0038823944,0.00008964702,0.00009250233],"category_scores_gemma":[0.000069800044,0.00029508866,0.00021199067,0.0005378976,0.00009847616,0.0000630398,0.0034063526,0.000496399,0.00055748376],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000639172,0.00012304293,0.0010051819,0.000024347484,0.00011598216,0.00006511641,0.003232833,0.009629266,0.0004499123,0.0069164056,0.06218088,0.91625065],"study_design_scores_gemma":[0.00300189,0.0014836281,0.027056932,0.00018476842,0.000024782501,0.00033400097,0.0001389818,0.4231794,0.0005669341,0.060390636,0.48126993,0.0023681219],"about_ca_topic_score_codex":0.00019830381,"about_ca_topic_score_gemma":0.000009013,"teacher_disagreement_score":0.9138825,"about_ca_system_score_codex":0.000055204066,"about_ca_system_score_gemma":0.000047758916,"threshold_uncertainty_score":0.9999501},"labels":[],"label_agreement":null},{"id":"W4254235863","doi":"10.1145/2490301.2451140","title":"Why you should care about quantile regression","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Quantile regression; Variance (accounting); Quantile; Property (philosophy); Field (mathematics); Regression analysis; Computer experiment; Regression; Data mining; Statistics; Machine learning; Simulation; Mathematics","score_opus":0.015172498167634654,"score_gpt":0.25094406846787726,"score_spread":0.2357715703002426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254235863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016073935,0.001264998,0.9559143,0.022267535,0.0015665274,0.0008529929,0.0000036689535,0.0008732479,0.0011827551],"genre_scores_gemma":[0.67494714,0.00006160362,0.29900476,0.023121594,0.0021794492,0.00022354179,0.000030894018,0.00006683185,0.00036418787],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965846,0.00030564907,0.00046793037,0.0010560956,0.00072399277,0.00086171983],"domain_scores_gemma":[0.99634093,0.0005199133,0.0001553524,0.002291958,0.0002774754,0.0004143992],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016034454,0.00048709393,0.00046213617,0.00024832838,0.00034494846,0.000576615,0.0035133664,0.00019962064,0.00012745653],"category_scores_gemma":[0.000062539606,0.00036594,0.00025458838,0.000533883,0.00011706309,0.00043639875,0.001434421,0.000768809,0.00030396253],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011118615,0.00003891499,0.0004316855,0.000023970999,0.00002954522,0.000023856212,0.0020278676,0.0032653804,0.0001890139,0.0015475155,0.074055545,0.9183556],"study_design_scores_gemma":[0.0024358165,0.0007913302,0.0060023763,0.00038299634,0.000035534675,0.00016750908,0.00011671949,0.29138994,0.00049106893,0.012170627,0.6845008,0.0015152692],"about_ca_topic_score_codex":0.0002386763,"about_ca_topic_score_gemma":0.000117590105,"teacher_disagreement_score":0.9168403,"about_ca_system_score_codex":0.000053896292,"about_ca_system_score_gemma":0.00011264491,"threshold_uncertainty_score":0.99987924},"labels":[],"label_agreement":null},{"id":"W4256473940","doi":"10.1145/2872887.2750398","title":"SLIP","year":2015,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Security Agency","keywords":"Cache; Computer science; Dram; Parallel computing; CPU cache; Energy consumption; Slip (aerodynamics); Cache algorithms; Memory hierarchy; Efficient energy use; Embedded system; Operating system; Computer hardware; Engineering; Electrical engineering","score_opus":0.030767619844095918,"score_gpt":0.2738943726696939,"score_spread":0.24312675282559798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256473940","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002065884,0.0001275207,0.9852242,0.00560074,0.00068550854,0.00024819298,0.0000010321603,0.0017160758,0.0043308656],"genre_scores_gemma":[0.07850557,0.000008126471,0.917362,0.0032556616,0.0005999215,0.000018296627,0.0000074072236,0.00002352832,0.00021949108],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757296,0.00026262205,0.00035003573,0.0006998727,0.0005703559,0.0005441476],"domain_scores_gemma":[0.99709636,0.00028015292,0.00011240206,0.0018861196,0.00020165203,0.00042330445],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048197876,0.00029640947,0.00029887148,0.00030367787,0.00013989584,0.00031332648,0.0035526438,0.00010674103,0.0000056930858],"category_scores_gemma":[0.00019662808,0.0002571197,0.00012388967,0.00065180304,0.00007191866,0.00025468605,0.0021019008,0.0004174654,0.000111113746],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018791976,0.00012987343,0.00094694906,0.00001665829,0.00004508148,0.00007358683,0.003989128,0.07537054,0.00009030598,0.012215285,0.12412735,0.78297645],"study_design_scores_gemma":[0.0017359892,0.0009685522,0.001217832,0.00007897624,0.000011811737,0.00038744687,0.000015512762,0.5243706,0.0019154293,0.17417273,0.29400137,0.001123742],"about_ca_topic_score_codex":0.000052441308,"about_ca_topic_score_gemma":0.000010085368,"teacher_disagreement_score":0.7818527,"about_ca_system_score_codex":0.000060469523,"about_ca_system_score_gemma":0.00018867824,"threshold_uncertainty_score":0.9999881},"labels":[],"label_agreement":null}]}