{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":41,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":41,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"a35e1fe0a9e5","filters":{"venue":"IEEE Micro"}},"results":[{"id":"W2032204694","doi":"10.1109/mm.2006.26","title":"Unbounded Transactional Memory","year":2006,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":158,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Transactional memory; Memory footprint; Transactional leadership; Software transactional memory; Correctness; Transaction processing; Memory management; Architecture; Database transaction; Distributed computing; Parallel computing; Operating system; Database; Overlay; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.00713658722957889,"gpt":0.2049902182503439,"spread":0.1978536310207651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009294221,0.00008759632,0.0001001769,0.00003394064,0.0000949812,0.0001211632,0.000376408,0.00004637361,0.00002239519],"category_scores_gemma":[9.253635e-7,0.00008376423,0.00006324866,0.0001791627,0.00002803488,0.0002188306,0.000008455417,0.00007273714,0.0001949361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000356288,"about_ca_system_score_gemma":0.00004424982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001810061,"about_ca_topic_score_gemma":0.0000315147,"domain_scores_codex":[0.9992408,0.00002065538,0.0001648609,0.0002286274,0.000152872,0.0001922063],"domain_scores_gemma":[0.9996006,0.00001784143,0.00004011923,0.000260683,0.00004518081,0.00003553216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001568881,0.0003680165,0.0002789971,0.00004953876,0.00004246967,0.00009570314,0.0003178855,0.002106832,0.7215926,0.03993659,0.2078629,0.02733279],"study_design_scores_gemma":[0.001953143,0.00006425909,0.009977279,0.00006044213,0.00001178222,0.0003234101,0.0000280691,0.01256589,0.327532,0.008976295,0.6376547,0.0008527696],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06126255,0.0002543634,0.9229743,0.000576489,0.001507613,0.00009274509,0.00002501039,0.0001840967,0.01312284],"genre_scores_gemma":[0.9899272,0.000001412257,0.005576509,0.0002002547,0.0002281888,0.000008545114,0.000006022084,0.00000576228,0.004046092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9286647,"threshold_uncertainty_score":0.3415806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049114603","doi":"10.1109/mm.2007.58","title":"Power, Thermal, and Reliability Modeling in Nanometer-Scale Microprocessors","year":2007,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Reliability (semiconductor); Microprocessor; Computer science; Reliability engineering; Power (physics); Embedded system; Battery (electricity); Power optimization; Power consumption; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.008786116772330798,"gpt":0.2072334514319541,"spread":0.1984473346596233,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005222856,0.0002088602,0.0002172937,0.0001885467,0.00004578566,0.00003543053,0.0001737979,0.0001373731,0.00002782673],"category_scores_gemma":[0.000008251583,0.00020688,0.00003858986,0.0002909303,0.00005191816,0.0002437761,0.00002382711,0.0002495676,0.0000471211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115645,"about_ca_system_score_gemma":0.00001375927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003924725,"about_ca_topic_score_gemma":0.0000308655,"domain_scores_codex":[0.9987793,0.00001281365,0.0003532318,0.0002764069,0.0001092686,0.0004689649],"domain_scores_gemma":[0.9995397,0.00003987029,0.00002254624,0.000279518,0.00003271415,0.0000856913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002933943,0.00004165688,0.005957237,0.0001165995,0.000008851595,0.00001358636,0.001635988,0.03374153,0.9564804,9.38905e-7,0.0001791117,0.001794739],"study_design_scores_gemma":[0.001054661,0.00006827819,0.00663824,0.0001162032,0.00001276336,0.00002710259,0.0002351267,0.08457185,0.9048386,0.0000832272,0.001631855,0.0007220733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877419,0.000947511,0.009143705,0.00001911257,0.0004559873,0.0001733383,0.000005330498,0.0001925375,0.001320605],"genre_scores_gemma":[0.9959753,0.00009131851,0.003716425,0.00005067335,0.00004631289,0.000006926271,0.000001581732,0.00005101545,0.00006041411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0516418,"threshold_uncertainty_score":0.843632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1815597787","doi":"10.1109/mm.2015.71","title":"Achieving Exascale Capabilities through Heterogeneous Computing","year":2015,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Exascale computing; Computer science; Supercomputer; Symmetric multiprocessor system; Computer architecture; Software; Efficient energy use; Parallel computing; Distributed computing; Embedded system; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.03807270450294099,"gpt":0.2769949186668803,"spread":0.2389222141639393,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000338522,0.0001601766,0.00018926,0.00005905372,0.0001522459,0.0002023865,0.000799255,0.00006870783,0.000002714656],"category_scores_gemma":[0.00004052951,0.0001582441,0.00007148444,0.0002213589,0.00006466861,0.0002943659,0.0002313676,0.0001304842,0.00005470072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007434536,"about_ca_system_score_gemma":0.00006877632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007540869,"about_ca_topic_score_gemma":0.00000242571,"domain_scores_codex":[0.9987299,0.0001110547,0.0002612421,0.0003788739,0.0001934173,0.0003255132],"domain_scores_gemma":[0.9990702,0.00008579446,0.00009608483,0.0005178309,0.0001322739,0.00009782472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005042563,0.0008076445,0.008648654,0.0002323674,0.0002070449,0.0002559814,0.07135431,0.6169869,0.04717097,0.01631966,0.1670884,0.07087766],"study_design_scores_gemma":[0.00135693,0.0004521163,0.0002706045,0.0002050153,0.00001867485,0.00061599,0.0002887275,0.5803214,0.3552059,0.0115577,0.04809067,0.001616354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1411332,0.0003968303,0.8542348,0.0002463297,0.000563111,0.00009879959,9.982425e-7,0.0008869292,0.002439043],"genre_scores_gemma":[0.623486,0.000007376301,0.3756408,0.0004783691,0.000121108,0.000002506259,0.000001321616,0.0000115326,0.0002510363],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4823528,"threshold_uncertainty_score":0.6453008,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3008874958","doi":"10.1109/mm.2020.2974217","title":"The AMD “Zen 2” Processor","year":2020,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Scalability; Cache; Multi-core processor; Modular design; Operating system; Embedded system; Flexibility (engineering); CPU cache; Microarchitecture; Efficient energy use; Computer architecture; Floating-point unit; Mobile processor; Workstation; Parallel computing; Mobile device; Computer hardware; Floating point; Mobile Web; Mobile technology","retraction":null,"screen_n_in":null,"score":{"opus":0.03420267875181875,"gpt":0.2520401742089486,"spread":0.2178374954571298,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124881,0.00005529548,0.00004999107,0.000008427593,0.0002618495,0.0002264579,0.0009788342,0.00002280797,0.00000355821],"category_scores_gemma":[0.0000419216,0.00004102772,0.00002883145,0.000235959,0.00003062097,0.0001152843,0.00008267976,0.00009790905,0.0002306238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009073963,"about_ca_system_score_gemma":0.00004180184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003279589,"about_ca_topic_score_gemma":8.552574e-7,"domain_scores_codex":[0.999417,0.00002633092,0.0001152923,0.0001954833,0.0001014864,0.0001443772],"domain_scores_gemma":[0.9995151,0.00009506905,0.00004994781,0.0002368949,0.00004938158,0.00005365643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003475057,0.0001239786,0.0008910357,0.0001371071,0.00007871833,0.00002941526,0.03666783,0.0004158452,0.2283866,0.1279792,0.3346977,0.2705578],"study_design_scores_gemma":[0.0002413312,0.00004765592,0.0004079634,0.00001303426,0.000003231758,0.00001390491,0.00009900123,0.0739802,0.1991938,0.002423271,0.723358,0.0002186352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06180394,0.0007888118,0.8722599,0.0592506,0.001376741,0.0002280827,0.000001717476,0.00050894,0.003781323],"genre_scores_gemma":[0.9837008,0.00001990831,0.01075187,0.004959471,0.0003728896,0.000007706653,3.90537e-7,0.000006050973,0.0001809483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9218968,"threshold_uncertainty_score":0.2964279,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050432237","doi":"10.1109/mm.2004.1","title":"A multilevel computing architecture for embedded multimedia applications","year":2004,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer architecture; Architecture; Compiler; Dataflow architecture; Exploit; Synchronizing; Space-based architecture; Reference architecture; Parallel computing; Programming language; Dataflow; Software architecture; Software","retraction":null,"screen_n_in":null,"score":{"opus":0.01776786673369574,"gpt":0.282713120694547,"spread":0.2649452539608513,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001920758,0.0001400175,0.0001404556,0.000107853,0.0001866718,0.0001071292,0.0006558999,0.00006792534,8.110875e-7],"category_scores_gemma":[0.00002615532,0.0001378414,0.00008426468,0.0001864101,0.00003515742,0.00008958508,0.00008621396,0.0001302556,0.00001948252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004064346,"about_ca_system_score_gemma":0.00008504292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001279472,"about_ca_topic_score_gemma":0.000003698975,"domain_scores_codex":[0.9990412,0.00002615233,0.0002108743,0.0003688797,0.00009793385,0.0002549715],"domain_scores_gemma":[0.9991783,0.0001451161,0.00009939956,0.0003940151,0.0001120589,0.00007113293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001695351,0.0004610952,0.00003551628,0.00009446035,0.00005962171,0.000005949171,0.008539838,0.5081633,0.1275895,0.02097954,0.005123189,0.328931],"study_design_scores_gemma":[0.002238653,0.0001030236,0.0001509172,0.00009143754,0.00001157104,0.00005629437,0.00002035882,0.6678201,0.2826313,0.02643348,0.01977669,0.0006661855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001287526,0.00005929446,0.9961594,0.0006848043,0.0001480681,0.0005898306,0.000009247227,0.0008008244,0.0002610461],"genre_scores_gemma":[0.1281166,0.000003337803,0.8707524,0.0008471276,0.00009437112,0.00007113398,0.000008619234,0.00001338437,0.0000930149],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3282648,"threshold_uncertainty_score":0.5621008,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2046105216","doi":"10.1109/mm.2013.131","title":"The Case for Embedded Networks on Chip on Field-Programmable Gate Arrays","year":2014,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Field-programmable gate array; Computer science; Embedded system; Compiler; Interconnection; Reconfigurable computing; Computer architecture; Interface (matter); System on a chip; Computer hardware; Parallel computing; Operating system; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.01603753696633828,"gpt":0.2480177592848653,"spread":0.231980222318527,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007599163,0.0001321848,0.0001313541,0.00002917461,0.000427958,0.0003819977,0.000424332,0.00007902199,0.000002814655],"category_scores_gemma":[0.00003525489,0.0000875527,0.0001148372,0.0001062646,0.00001614589,0.00007305355,0.00002789319,0.0001774248,0.00003992801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002112658,"about_ca_system_score_gemma":0.00001113477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004406726,"about_ca_topic_score_gemma":0.0001744606,"domain_scores_codex":[0.9989442,0.0001320757,0.0002002198,0.0002956821,0.00007667903,0.0003511155],"domain_scores_gemma":[0.9984716,0.0007585266,0.00008871425,0.0005617571,0.00005934097,0.00006005609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002641145,0.0001801099,0.00001765065,0.00003907662,0.0001108456,0.0001584746,0.001601863,0.1247584,0.001973353,0.2162454,0.3408064,0.3138444],"study_design_scores_gemma":[0.0005026881,0.0007522851,0.000003207883,0.00005892932,0.000004603424,0.0002302006,0.00004318248,0.8271095,0.007484676,0.001977979,0.1616236,0.0002091995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02566655,0.00004037891,0.9636907,0.001507307,0.004689949,0.0003639466,8.677967e-7,0.0001186416,0.003921649],"genre_scores_gemma":[0.9926697,0.000006602796,0.001606336,0.00319613,0.0007959269,0.00008166147,9.295299e-7,0.0000134947,0.001629217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9670032,"threshold_uncertainty_score":0.3683612,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2900224194","doi":"10.1109/mm.2018.2877288","title":"Accelerators and Coherence: An SoC Perspective","year":2018,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Science Foundation of Sri Lanka; Defense Advanced Research Projects Agency; Ministère de l'Économie, de la Science et de l'Innovation - Québec; University of Illinois at Chicago; Politecnico di Torino","keywords":"Computer science; Computer architecture; Memory hierarchy; System on a chip; Embedded system; Coherence (philosophical gambling strategy); Variety (cybernetics); Perspective (graphical); Isolation (microbiology); Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02276054028272846,"gpt":0.2967862888164338,"spread":0.2740257485337053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001205261,0.0000814782,0.00007866169,0.00005735921,0.0001644726,0.0001777841,0.0003827389,0.00004539701,0.00001096676],"category_scores_gemma":[0.000009452903,0.00007669427,0.00001514334,0.0001690287,0.0001032055,0.0002706293,0.00007405868,0.00006670484,0.00002550646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002649519,"about_ca_system_score_gemma":0.00004078151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004955345,"about_ca_topic_score_gemma":0.000006830118,"domain_scores_codex":[0.9993729,0.00004097432,0.00008322031,0.0002865443,0.00007150968,0.0001448408],"domain_scores_gemma":[0.9994514,0.00001666915,0.00003915219,0.0002560855,0.0001731329,0.00006356221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007222391,0.0007982773,0.009901999,0.00004274143,0.0001636751,0.00006489951,0.07522523,0.000302909,0.4039009,0.1558738,0.1964698,0.1571835],"study_design_scores_gemma":[0.0007033188,0.0009684361,0.004225108,0.00004497307,0.000009721725,0.00008295295,0.0004001322,0.08094848,0.8761972,0.02726843,0.008305517,0.0008457705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.217981,0.0001116528,0.7758849,0.0003056793,0.0002729637,0.00009499866,0.000001108337,0.0005215831,0.004826099],"genre_scores_gemma":[0.8428527,0.000009746828,0.1563275,0.0004464603,0.0001408382,0.000003126825,3.337195e-7,0.000005452497,0.0002138408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6248717,"threshold_uncertainty_score":0.3127502,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135960549","doi":"10.1109/mm.2002.1134342","title":"Roomware-moving toward ubiquitous computers","year":2002,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Future Earth","funders":"","keywords":"Computer science; Doors; Human–computer interaction; Ubiquitous computing; Interface (matter); Perception; Multimedia; Information technology","retraction":null,"screen_n_in":null,"score":{"opus":0.02584003598022747,"gpt":0.2419742712624275,"spread":0.2161342352822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006418415,0.0001549762,0.0001502366,0.00009973072,0.0001143479,0.0001548812,0.0008341155,0.00005065556,0.00009697369],"category_scores_gemma":[0.00001143143,0.0001521094,0.0001138277,0.0001508121,0.00003263732,0.0005213484,0.0001386155,0.0001597357,0.001263236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006829947,"about_ca_system_score_gemma":0.00001180944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003601091,"about_ca_topic_score_gemma":0.000003007753,"domain_scores_codex":[0.9989178,0.00004131514,0.0001659094,0.0003660544,0.0001491284,0.0003597856],"domain_scores_gemma":[0.9993135,0.00007402167,0.00006751001,0.0003753924,0.00008850222,0.00008110048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006885636,0.0001548995,0.0003502454,0.0000227381,0.00006296821,0.0001774027,0.006609833,0.00009314834,0.7627707,0.001133127,0.2120995,0.01651857],"study_design_scores_gemma":[0.0007803755,0.000232509,0.003271214,0.00009703312,0.0000154503,0.0002192884,0.0001859948,0.0346322,0.8876883,0.0002618332,0.07186934,0.0007464447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1449305,0.0004509867,0.8323769,0.002200897,0.005025713,0.0001881416,0.000007156934,0.0001243936,0.01469526],"genre_scores_gemma":[0.9882852,0.00001787461,0.007171081,0.003130972,0.0002082792,0.000004849229,0.000001397954,0.00001236765,0.001167931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8433547,"threshold_uncertainty_score":0.9995144,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901123440","doi":"10.1109/mm.2018.2877290","title":"Galapagos: A Full Stack Approach to FPGA Integration in the Cloud","year":2018,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Field-programmable gate array; Computer science; Cloud computing; Stack (abstract data type); Flexibility (engineering); Embedded system; Interface (matter); Abstraction layer; Abstraction; Acceleration; Computer architecture; Operating system; Software","retraction":null,"screen_n_in":null,"score":{"opus":0.02588735028602548,"gpt":0.2502263090397469,"spread":0.2243389587537214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004269833,0.0001148116,0.0001083094,0.00007539545,0.00008669671,0.0001923424,0.0009253792,0.00005811054,0.000005626547],"category_scores_gemma":[0.00002672003,0.00007749723,0.00003963938,0.0006420034,0.00004185286,0.0001475425,0.00007537,0.0001467999,0.000222512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003421629,"about_ca_system_score_gemma":0.00002917568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006161955,"about_ca_topic_score_gemma":0.00008862779,"domain_scores_codex":[0.9989963,0.00008703986,0.0001692451,0.0003175019,0.0001605524,0.0002693883],"domain_scores_gemma":[0.9992232,0.00007821654,0.00003901915,0.0005525419,0.00006152167,0.00004550529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001109135,0.0006722672,0.0009334806,0.00002502022,0.00002601139,0.00002035872,0.04705284,0.0005456404,0.03537428,0.01843849,0.6628314,0.2339693],"study_design_scores_gemma":[0.004342244,0.003424031,0.02291947,0.0005294367,0.00005239514,0.0004854809,0.002816931,0.1561084,0.1419184,0.02578535,0.6383976,0.00322023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1607495,0.00008966551,0.8330015,0.0009911896,0.0009847573,0.0002756613,0.000001992709,0.00009837096,0.003807376],"genre_scores_gemma":[0.9526206,0.000005984934,0.04310729,0.003232804,0.0007924354,0.00003886815,0.000002757176,0.000009986087,0.0001892265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7918711,"threshold_uncertainty_score":0.3160245,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025922761","doi":"10.1109/mm.2007.3","title":"A Top-Down Approach to Architecting CPI Component Performance Counters","year":2007,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"University of Illinois at Urbana-Champaign; Universiteit Gent; Advanced Micro Devices","keywords":"Computer science; Superscalar; Computation; Component (thermodynamics); Software; Branch predictor; Parallel computing; Event (particle physics); Out-of-order execution; Computer architecture; Component-based software engineering; Embedded system; Operating system; Software system; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01623982152711747,"gpt":0.2478387281441415,"spread":0.231598906617024,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006948645,0.000140936,0.0001416864,0.0001982531,0.0001819694,0.0001253831,0.0007952093,0.00004505297,0.000001006713],"category_scores_gemma":[0.00001128416,0.0001378162,0.00006204501,0.0004144294,0.00002719982,0.00012596,0.0001521787,0.0001635187,0.00004187105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007201846,"about_ca_system_score_gemma":0.00002663458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002926574,"about_ca_topic_score_gemma":0.000001418756,"domain_scores_codex":[0.9987569,0.00002943134,0.0002500461,0.0003728072,0.0001995433,0.0003912816],"domain_scores_gemma":[0.9992739,0.00005493646,0.00007405138,0.000411484,0.00006784978,0.0001177897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001828811,0.001125692,0.00765161,0.0002755895,0.0001485691,0.00005735798,0.02762863,0.3591585,0.225684,0.004439949,0.04771247,0.3259347],"study_design_scores_gemma":[0.0006516626,0.0002674082,0.004041725,0.0001513689,0.000008455394,0.0001974613,0.00009416998,0.5243742,0.4441637,0.0001282964,0.02496671,0.0009547972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2576304,0.0000258699,0.7342249,0.0001050973,0.0002506773,0.0001386996,4.947788e-7,0.0004004115,0.007223374],"genre_scores_gemma":[0.6033723,0.000002801796,0.3957005,0.0006493497,0.00007573327,0.000004749654,0.000001053902,0.000007227904,0.0001861843],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3457419,"threshold_uncertainty_score":0.5619981,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2048849600","doi":"10.1109/mm.2010.21","title":"Making Address-Correlated Prefetching Practical","year":2010,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Metadata; Computer science; Latency (audio); Bandwidth (computing); Computer architecture; Storage management; Chip; Embedded system; Parallel computing; Operating system; Computer network; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.04634996544834779,"gpt":0.3359082008276234,"spread":0.2895582353792756,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001853515,0.0001418934,0.000129086,0.0001052524,0.0001364533,0.0001632065,0.001112053,0.0001627967,0.00002027393],"category_scores_gemma":[0.000368834,0.0001326621,0.00003709156,0.0002922276,0.0001020883,0.00111752,0.0004599212,0.0008702048,0.0002703131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002835696,"about_ca_system_score_gemma":0.00005207953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006564323,"about_ca_topic_score_gemma":0.00001635081,"domain_scores_codex":[0.9988638,0.00002238812,0.0001820644,0.0004296854,0.000161666,0.0003404362],"domain_scores_gemma":[0.9985707,0.0001649358,0.000112961,0.001059241,0.00005002403,0.00004217958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006467843,0.00005563557,0.0001759644,0.000007748356,0.00001370131,0.0001902704,0.0002507452,0.00003711406,0.9231891,0.02947869,0.00589086,0.04070369],"study_design_scores_gemma":[0.0006721668,0.00009044459,0.0007342519,0.00007721853,0.00001864586,0.001092252,0.00007059117,0.01453578,0.8274594,0.03009813,0.124273,0.0008781736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1399741,0.00004402562,0.8534871,0.001195853,0.001967082,0.0001429475,0.000006458823,0.001502031,0.001680325],"genre_scores_gemma":[0.589044,0.000003028926,0.4106044,0.0001962543,0.00005490446,0.000007571669,0.000001472431,0.00001079743,0.00007758056],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4490698,"threshold_uncertainty_score":0.5409803,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2075843361","doi":"10.1109/mm.2014.3","title":"Kabini: An AMD Accelerated Processing Unit System on A Chip","year":2014,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Embedded system; x86; Central processing unit; Multi-core processor; Computer hardware; Chip; Efficient energy use; Operating system; Software; Electrical engineering; Telecommunications; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03830314710420459,"gpt":0.2811050205506671,"spread":0.2428018734464625,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003302437,0.0001427878,0.0001522404,0.0001272201,0.0002147889,0.0003440712,0.0007777236,0.00007338655,0.000001738628],"category_scores_gemma":[0.00001344383,0.0001297623,0.00002997839,0.0003781713,0.00002272143,0.0002547842,0.00005090398,0.0001325769,0.00005938209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000343352,"about_ca_system_score_gemma":0.00004956185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001556972,"about_ca_topic_score_gemma":0.000001512042,"domain_scores_codex":[0.9989128,0.0001458916,0.000198453,0.0003649505,0.0001427341,0.0002351444],"domain_scores_gemma":[0.999185,0.00003295557,0.0001102967,0.000465005,0.0001212746,0.00008552429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001203691,0.001215334,0.00180628,0.0007375768,0.00008012072,0.00007259777,0.007427151,0.09150457,0.2315832,0.0566617,0.02419091,0.5846002],"study_design_scores_gemma":[0.0003102169,0.00021485,0.0003715466,0.0001873747,0.000003691076,0.00002612742,0.00001483033,0.8569204,0.1381163,0.0002047677,0.003334192,0.0002958127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1188839,0.00002258486,0.8735784,0.0001178016,0.0002296199,0.0001126061,6.550731e-7,0.001613994,0.00544038],"genre_scores_gemma":[0.920071,0.00000118494,0.07914454,0.0004385039,0.000112192,0.000007789617,0.000003171785,0.0000138324,0.0002077768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8011871,"threshold_uncertainty_score":0.5291551,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2039296153","doi":"10.1109/mm.2010.80","title":"The Velox Transactional Memory Stack","year":2010,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Transactional memory; Software transactional memory; Programmer; Compiler; Programming language; Call stack; Programming paradigm; Separation of concerns; Parallel computing; Stack (abstract data type); Operating system; Software; Database transaction","retraction":null,"screen_n_in":null,"score":{"opus":0.006781309725933197,"gpt":0.2212324250576709,"spread":0.2144511153317377,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002319837,0.00007891942,0.00007210563,0.00001458849,0.0002568791,0.0001966912,0.0007091347,0.00004976756,0.00001719459],"category_scores_gemma":[0.000005929166,0.00005455044,0.00005520812,0.0001250345,0.00005753415,0.0001728347,0.000014616,0.0002148272,0.000200561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001099883,"about_ca_system_score_gemma":0.00006378559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002508268,"about_ca_topic_score_gemma":0.00006832459,"domain_scores_codex":[0.9992813,0.00002106449,0.0001422906,0.0001899112,0.0001606441,0.000204722],"domain_scores_gemma":[0.9993537,0.00006421666,0.00004169876,0.0004211043,0.00006363507,0.00005561333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001201754,0.00008323498,0.00008181289,0.00001351026,0.00003753648,0.0000225325,0.0007073911,0.00007318797,0.7665688,0.01542683,0.08963174,0.1273414],"study_design_scores_gemma":[0.0003324616,0.00001748676,0.001643389,0.000007931328,0.00000258613,0.00007972639,0.00002624067,0.003126994,0.08666247,0.0006787428,0.907233,0.0001889847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2664139,0.0003556522,0.7046169,0.004708594,0.01343216,0.0002741911,0.00005682376,0.0002598796,0.009881895],"genre_scores_gemma":[0.9928271,0.000007941592,0.003294213,0.0002734458,0.0002840739,0.00001470071,0.000001645853,0.000006738306,0.003290104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8176013,"threshold_uncertainty_score":0.2577873,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031043969","doi":"10.1109/mm.2014.4","title":"Cache Coherence for GPU Architectures","year":2014,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada); University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Game and Wildlife Conservation Trust; Nvidia","keywords":"Computer science; Parallel computing; Cache coherence; Multi-core processor; CUDA; Computer architecture; Java; Coherence (philosophical gambling strategy); Programming paradigm; General-purpose computing on graphics processing units; Cache; CPU cache; Operating system; Programming language; Graphics; Cache algorithms","retraction":null,"screen_n_in":null,"score":{"opus":0.01708384724470826,"gpt":0.2612078740135595,"spread":0.2441240267688512,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002222043,0.00008864484,0.0001000139,0.00005445025,0.0001020706,0.00008674681,0.0006427679,0.00004282225,0.000002204623],"category_scores_gemma":[0.00004461404,0.00007912635,0.00004884869,0.0001065358,0.00002787564,0.00003683033,0.0000531391,0.00006694716,0.00001577412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001095837,"about_ca_system_score_gemma":0.00002257764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001280221,"about_ca_topic_score_gemma":0.000002900344,"domain_scores_codex":[0.9993377,0.00004381712,0.0001175556,0.0002421958,0.00007284698,0.0001858935],"domain_scores_gemma":[0.9993699,0.0001382002,0.00005470983,0.0003352278,0.00005826676,0.00004375807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003677038,0.0002173455,0.0008816824,0.0001236417,0.00006237571,0.000004545242,0.002663172,0.09056077,0.1734686,0.02633999,0.2483232,0.457318],"study_design_scores_gemma":[0.0004334357,0.0001813182,0.0003266064,0.00003304945,0.000005003015,0.00001968242,0.0000021047,0.4323138,0.4705459,0.02075792,0.07501256,0.0003686336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007699356,0.00004983929,0.9895182,0.0004050548,0.0002354436,0.0001388688,0.000001450763,0.0004366973,0.001515129],"genre_scores_gemma":[0.4782219,0.000001411765,0.5205542,0.000674978,0.00008919055,0.00001808954,0.000001107863,0.000006184137,0.0004329704],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4705225,"threshold_uncertainty_score":0.3226679,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014039063","doi":"10.1109/mm.2012.16","title":"Kilo TM: Hardware Transactional Memory for GPU Architectures","year":2012,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Computer science; Transactional memory; Parallel computing; Computer architecture; Range (aeronautics); Database transaction; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01866055225985408,"gpt":0.2529427535631042,"spread":0.2342822013032501,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001887434,0.0001281468,0.0001484485,0.00004528135,0.0001304183,0.00007396757,0.0004449294,0.00006252043,0.00002636054],"category_scores_gemma":[0.000007037032,0.0001131879,0.0001243967,0.0001106954,0.00002800635,0.0001830658,0.00001353374,0.00009834186,0.00006676566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000290773,"about_ca_system_score_gemma":0.00003693316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002314337,"about_ca_topic_score_gemma":0.000006561424,"domain_scores_codex":[0.9990413,0.00002769659,0.0001745279,0.0002280248,0.0001530105,0.0003753919],"domain_scores_gemma":[0.999415,0.00006269224,0.00005385798,0.0002956497,0.00005717269,0.0001155935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001234802,0.0007324884,0.0008373423,0.0004069355,0.0002625361,0.00002179692,0.008173025,0.002244944,0.4582281,0.007640269,0.2868217,0.2345074],"study_design_scores_gemma":[0.001405375,0.00009074314,0.004504912,0.00007625289,0.00002147984,0.000251767,0.00006414708,0.003497998,0.2264165,0.00117575,0.7618158,0.0006792578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03481134,0.0007092262,0.959973,0.0005092057,0.002478315,0.0002441997,0.0001772629,0.0001238069,0.0009736008],"genre_scores_gemma":[0.9759204,0.000001994659,0.02154341,0.000468106,0.0006452652,0.00006201494,0.00001231741,0.00001220021,0.001334303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9411091,"threshold_uncertainty_score":0.4615667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2083474035","doi":"10.1109/mm.2008.29","title":"Northbridge Architecture of AMD's Griffin Microprocessor Family","year":2008,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Software portability; Microprocessor; Computer science; Griffin; Graphics; Embedded system; Architecture; Operating system; Computer architecture; Power management; Mobile device; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.01747882429169115,"gpt":0.2298183617749411,"spread":0.21233953748325,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001001275,0.0001444153,0.0002026602,0.0001455485,0.0001166444,0.0000258702,0.0008641869,0.0000710424,0.000002891718],"category_scores_gemma":[0.00001467004,0.0001340616,0.00008460043,0.0004060803,0.0000877811,0.00009885831,0.0001026309,0.0001497758,0.00002235654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001554736,"about_ca_system_score_gemma":0.00009123034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005321425,"about_ca_topic_score_gemma":0.00000259066,"domain_scores_codex":[0.9989907,0.00003997057,0.0002641684,0.0003125368,0.0001626521,0.0002299547],"domain_scores_gemma":[0.9991804,0.00004123971,0.0001365384,0.0004478416,0.0001365327,0.00005741857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003597197,0.0003917379,0.003474765,0.0001186943,0.0000640997,0.0001211797,0.003928135,0.01312436,0.8536022,0.0007261072,0.09097377,0.03343895],"study_design_scores_gemma":[0.0004621733,0.0001202231,0.006109042,0.00005613043,0.000005503259,0.0002214542,0.000006124385,0.006554821,0.9736406,0.0005150655,0.01190015,0.0004087781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3302984,0.000290768,0.6679433,0.0001326971,0.0001484567,0.00007879409,0.000004298108,0.0002734439,0.0008298495],"genre_scores_gemma":[0.6549834,0.00007453562,0.3439195,0.000474061,0.0000629679,0.000004922461,0.000002831373,0.00001194919,0.0004658832],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.324685,"threshold_uncertainty_score":0.5466872,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210863326","doi":"10.1109/mm.2022.3148670","title":"Accelerating Deep Learning Using Interconnect-Aware UCX Communication for MPI Collectives","year":2022,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; Compute Canada","keywords":"Computer science; PCI Express; Speedup; Graphics processing unit; Parallel computing; Message Passing Interface; Network topology; Message passing; Bandwidth (computing); Computer architecture; Embedded system; Field-programmable gate array; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.04396272083031036,"gpt":0.297140060445731,"spread":0.2531773396154207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004524798,0.0001050975,0.0001332064,0.000136573,0.001409398,0.0001928704,0.0008260782,0.00003116899,0.00001371512],"category_scores_gemma":[0.00004885289,0.0001244158,0.00006388527,0.0003685596,0.00002291862,0.0002156609,0.0004147047,0.0002408539,0.00000147508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549719,"about_ca_system_score_gemma":0.00005525017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003286974,"about_ca_topic_score_gemma":0.000005820104,"domain_scores_codex":[0.9989511,0.0002673018,0.0002113353,0.0002706108,0.000102354,0.0001972617],"domain_scores_gemma":[0.9991359,0.0002385415,0.0001655228,0.0003178415,0.0001132472,0.00002898641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003956286,0.0001629621,0.0009283054,0.00004219852,0.00006757894,0.000004039394,0.01435208,0.8684802,0.06603494,0.002631644,0.003759666,0.04349681],"study_design_scores_gemma":[0.0002446726,0.00008908523,0.00002458412,0.00001744446,0.000003901255,0.00001927143,0.0002946546,0.9738827,0.02078822,0.0005825657,0.003884303,0.000168611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03695906,0.0002734452,0.9613566,0.0001683998,0.0001824285,0.0002399741,0.000001845479,0.0004259361,0.0003923556],"genre_scores_gemma":[0.6445911,0.00001039134,0.3548683,0.000206083,0.00002661839,0.00005626481,0.0000072036,0.00001274118,0.0002213163],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.607632,"threshold_uncertainty_score":0.9998906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1978904804","doi":"10.1109/mm.2014.5","title":"DeNovoND: Efficient Hardware for Disciplined Nondeterminism","year":2014,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Computer science; Nondeterministic algorithm; Lock (firearm); Synchronization (alternating current); Protocol (science); Atomicity; State (computer science); Distributed computing; Parallel computing; Embedded system; Computer network; Theoretical computer science; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01521790512417029,"gpt":0.2686536691295757,"spread":0.2534357640054054,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002798926,0.000123485,0.0001443893,0.00008517045,0.000179687,0.0001343554,0.0007249138,0.00005716772,0.000002193219],"category_scores_gemma":[0.00003333569,0.0001122151,0.00008306757,0.0001367974,0.00002745003,0.0000636918,0.0001181297,0.00006113686,0.00003258795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002317088,"about_ca_system_score_gemma":0.00003016457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002596462,"about_ca_topic_score_gemma":9.548799e-7,"domain_scores_codex":[0.9990646,0.00003540143,0.00019253,0.0003450305,0.0001091241,0.0002533166],"domain_scores_gemma":[0.9991869,0.0001089624,0.00008218996,0.0004658754,0.00008981434,0.00006619531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000936547,0.001005247,0.0004529969,0.0003244445,0.0001128945,0.00002128617,0.007383296,0.2017531,0.2776381,0.05989999,0.2158683,0.2354468],"study_design_scores_gemma":[0.0004503124,0.0001190283,0.00009428601,0.00002726926,0.000005000589,0.0000103928,0.000003268254,0.8195047,0.1552753,0.00182029,0.02242837,0.0002617963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01461078,0.00002388878,0.9828712,0.0004183462,0.0005659512,0.0002028223,0.000003830217,0.0005074326,0.0007957114],"genre_scores_gemma":[0.480964,0.000001441361,0.5174313,0.0004620158,0.0001432873,0.00003119708,0.000004094145,0.00001328345,0.0009493729],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6177517,"threshold_uncertainty_score":0.4575998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285060868","doi":"10.1109/mm.2022.3176529","title":"Compiling for the IBM Matrix Engine for Enterprise Workloads","year":2022,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Operand; Matrix multiplication; IBM; Parallel computing; Code (set theory); SIMD; Matrix (chemical analysis); Product (mathematics); Set (abstract data type); Computer architecture; Operating system; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.017995891346665,"gpt":0.282373825555241,"spread":0.264377934208576,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004500708,0.00009273126,0.0001065739,0.0000629017,0.0005571846,0.0001032999,0.0009682363,0.00001995806,0.00000660634],"category_scores_gemma":[0.00001803098,0.00007819953,0.0001090486,0.0001903832,0.00001616583,0.00005998788,0.0001853053,0.0001009002,0.000002343712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000443171,"about_ca_system_score_gemma":0.00003594202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004580448,"about_ca_topic_score_gemma":4.355289e-7,"domain_scores_codex":[0.9992445,0.00003438834,0.0001703746,0.0002325689,0.0001009064,0.0002173097],"domain_scores_gemma":[0.9990935,0.0003961983,0.00007637637,0.0003495145,0.00005739914,0.00002701255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001057629,0.0002201997,0.0001263875,0.00005648638,0.0000861943,0.00000390691,0.001948639,0.6554109,0.01160175,0.006293154,0.2551411,0.06900556],"study_design_scores_gemma":[0.0003632533,0.00008931012,0.000008914713,0.00000787012,0.000007477097,0.00001030098,0.00001813622,0.8517026,0.01286209,0.001128971,0.1336718,0.000129314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001496384,0.0006757773,0.9948624,0.001242719,0.0008174154,0.0005055589,0.00001725793,0.0003341697,0.00004829064],"genre_scores_gemma":[0.2646663,0.00002677503,0.7320545,0.001038271,0.0002085024,0.0004264824,0.000009736064,0.00002116238,0.001548242],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2631699,"threshold_uncertainty_score":0.428547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2339666327","doi":"10.1109/mm.2016.24","title":"Energy-Efficient Graphics and Multimedia in 28-nm Carrizo Accelerated Processing Unit","year":2016,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Benchmark (surveying); Computer science; Transcoding; Power management; Idle; Throughput; Graphics; Multimedia; Embedded system; Power (physics); Efficient energy use; Operating system; Real-time computing; Computer architecture; Electrical engineering; Engineering; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.02575842747860197,"gpt":0.262128859637374,"spread":0.236370432158772,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002097484,0.0001248394,0.0001268806,0.0002257822,0.00009057343,0.0001105066,0.0003744995,0.00007723483,0.000001873677],"category_scores_gemma":[0.00002345083,0.00009366414,0.00002029861,0.0005229472,0.00006669503,0.0001437643,0.00009602909,0.00007531685,0.000003151015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002473167,"about_ca_system_score_gemma":0.00006593206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005096031,"about_ca_topic_score_gemma":0.00001485579,"domain_scores_codex":[0.9990448,0.00006132454,0.0002153343,0.0003274599,0.0001120296,0.0002391011],"domain_scores_gemma":[0.9994486,0.00007991798,0.00008101765,0.0002201427,0.0001026396,0.00006768919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002385177,0.0002765747,0.006434978,0.00004766994,0.00001824164,0.00005916971,0.002080938,0.004507423,0.2415345,0.002341743,0.00218414,0.7404907],"study_design_scores_gemma":[0.0006949957,0.00004237154,0.001261787,0.0001780592,0.000002659369,0.00001427508,0.000006573129,0.8345937,0.1598155,0.0004780106,0.002594776,0.000317327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1592761,0.0003492263,0.8393909,0.0003249621,0.0001232212,0.00006709758,0.000001653811,0.0003147396,0.0001521229],"genre_scores_gemma":[0.9343052,0.00008812498,0.0651688,0.0002264207,0.00002791596,0.000007768589,9.466702e-7,0.000009808847,0.0001650465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8300862,"threshold_uncertainty_score":0.3819513,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050594874","doi":"10.1109/mm.2014.62","title":"Photonic Interconnects for Exascale and Datacenter Architectures","year":2014,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Network topology; Scalability; Router; Computer network; Power budget; Supercomputer; Peering; Latency (audio); Distributed computing; Topology (electrical circuits); Parallel computing; The Internet; Power (physics); Telecommunications; Electrical engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.007868991099934126,"gpt":0.2153208190960707,"spread":0.2074518279961366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003980588,0.0001007934,0.0001131746,0.00003552102,0.00002369915,0.0000172969,0.0001216346,0.00005829245,0.00000510311],"category_scores_gemma":[0.00003795241,0.00009060953,0.00002332457,0.00003475088,0.00006079014,0.00003001827,0.0000336647,0.0001052312,0.000008858687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000132206,"about_ca_system_score_gemma":9.79686e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.024986e-7,"about_ca_topic_score_gemma":0.00001357023,"domain_scores_codex":[0.999539,0.000004180948,0.00008283379,0.0001399395,0.00002493341,0.0002091088],"domain_scores_gemma":[0.9996374,0.0001263892,0.000008320902,0.0001911405,0.000007189907,0.00002952042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004278182,0.0000241247,0.0002562888,0.0002930634,0.00007230459,0.000002822727,0.0001884847,0.01471286,0.7853723,0.001037364,0.01309109,0.1849065],"study_design_scores_gemma":[0.0009693161,0.0001471574,0.0002448255,0.0001020092,0.00002205692,0.00002643119,0.00003839625,0.07927183,0.7424795,0.01334837,0.1628777,0.0004723663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7901906,0.0004610921,0.207936,0.00007764086,0.0002777159,0.0001675836,0.00001359992,0.0004859191,0.0003898666],"genre_scores_gemma":[0.941062,0.00003857632,0.0586183,0.00009879667,0.00007223707,0.00002757599,0.000003830833,0.00002764213,0.00005103332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1844341,"threshold_uncertainty_score":0.3694949,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2032482282","doi":"10.1109/mm.2007.45","title":"Wagging Wikipedia's long tail","year":2007,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Encyclopedia; Computer science; World Wide Web; Cover (algebra); The Internet; Peer production; Software; Open source software; Work (physics); Internet privacy; Information retrieval; Library science; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01764739865604609,"gpt":0.3414132890140713,"spread":0.3237658903580252,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007659458,0.00004632225,0.00004788242,0.00005587898,0.0003413245,0.00007756643,0.0001175156,0.00005950806,0.0002642941],"category_scores_gemma":[0.00008246606,0.00005045198,0.00002159597,0.0003450665,0.00008848654,0.0001475049,0.00000520767,0.00006440972,0.000238341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001144199,"about_ca_system_score_gemma":0.0002097946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004204452,"about_ca_topic_score_gemma":0.00392028,"domain_scores_codex":[0.9993498,0.00003988467,0.0001121273,0.0001100501,0.0001681907,0.0002199456],"domain_scores_gemma":[0.999612,0.00006249063,0.00004469655,0.00009177679,0.0001118465,0.00007714068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000499234,0.000385543,0.08752155,0.00002649337,0.00003641743,0.00003503869,0.1741882,0.00002242877,0.1106219,0.04220864,0.3473558,0.2375481],"study_design_scores_gemma":[0.0001448775,0.000008891625,0.01084574,0.00001080205,0.000006902456,9.593191e-7,0.01306744,0.000002454486,0.02783554,0.0006516529,0.9472672,0.000157538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8588803,0.0001509009,0.002815589,0.002851818,0.003313353,0.0001245042,0.000001135085,0.0001019214,0.1317604],"genre_scores_gemma":[0.9833195,0.00003043919,0.0006857511,0.0007607182,0.001469668,0.000003018352,0.000002119743,0.000006150492,0.01372259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5999115,"threshold_uncertainty_score":0.3063472,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401328687","doi":"10.1109/mm.2024.3436008","title":"A Comparison of Single-Ended, NRZ Unidirectional Signaling and Single-Ended, NRZ Simultaneous-Bidirectional Signaling for Die-to-Die Links","year":2024,"lang":"en","type":"article","venue":"IEEE Micro","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Die (integrated circuit); Computer science; Electronic engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05331171728180428,"gpt":0.2989958955732784,"spread":0.2456841782914742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000557154,0.0003652577,0.0005165614,0.0004317615,0.0004212042,0.0004925723,0.0005007638,0.0002424105,0.000009765778],"category_scores_gemma":[0.0002948403,0.000383101,0.0002231536,0.0005951727,0.0001102181,0.0003482504,0.0001313163,0.0004746015,0.00002072465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811303,"about_ca_system_score_gemma":0.0001948007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000446477,"about_ca_topic_score_gemma":0.000044825,"domain_scores_codex":[0.9972116,0.0000884753,0.0007287363,0.0009366066,0.000445229,0.0005893861],"domain_scores_gemma":[0.9966672,0.002275522,0.000187582,0.0002928347,0.0003589508,0.0002178911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000953451,0.0002151698,0.0003268111,0.0002052256,0.0001070477,0.00004905574,0.001303216,0.011409,0.8938647,0.000299613,0.0006296017,0.09158102],"study_design_scores_gemma":[0.0005252151,0.0005797265,0.00002683883,0.000837318,0.00008311712,0.0001776037,0.000206031,0.2413035,0.7384796,0.001822258,0.01526796,0.0006908551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3312232,0.004614186,0.6596032,0.0004978286,0.002183077,0.0004270185,0.00007075194,0.0006499472,0.0007306861],"genre_scores_gemma":[0.977514,0.000009466635,0.0211089,0.0002034497,0.0006915387,0.00002645934,0.00001596249,0.00004612276,0.0003841254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6462907,"threshold_uncertainty_score":0.9998621,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885429203","doi":"10.1109/mm.2018.043191120","title":"Approximate Computing","year":2018,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cover (algebra); Range (aeronautics); Theoretical computer science; Programming language; Computer architecture; Computer engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.009113781485445943,"gpt":0.2083888003566316,"spread":0.1992750188711856,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001092398,0.0001329755,0.0001221142,0.0000681413,0.00007531447,0.00003900966,0.0001790757,0.00006010268,0.00007013878],"category_scores_gemma":[0.000002989305,0.0001321618,0.00003167693,0.0001617214,0.00005838562,0.0001053233,0.00001858172,0.0001116025,0.001419773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004714308,"about_ca_system_score_gemma":0.000008056217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000468725,"about_ca_topic_score_gemma":0.000002205669,"domain_scores_codex":[0.9992943,0.000008121291,0.0001539445,0.0001386088,0.00008113986,0.0003239228],"domain_scores_gemma":[0.9996557,0.00001644847,0.0000173066,0.0002284311,0.0000316301,0.00005054806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005148041,0.00001506487,0.0004943542,0.00008001515,0.00003812928,0.000009065478,0.001075718,0.001660112,0.9404882,0.00004679787,0.04784267,0.008244729],"study_design_scores_gemma":[0.0002887839,0.00003405659,0.0004395536,0.00003859157,0.000008303514,0.00002083514,0.00001853067,0.0781434,0.8951517,0.00004061759,0.02554635,0.0002692549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941209,0.00013707,0.04510514,0.00001649866,0.002077981,0.0001085997,0.00000371383,0.0007335516,0.01060851],"genre_scores_gemma":[0.9912993,0.000008728809,0.007700521,0.00008735988,0.0006469713,0.000002511343,0.000002002954,0.00004564755,0.0002069029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07648329,"threshold_uncertainty_score":0.9993578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402593055","doi":"10.1109/mm.2024.3462351","title":"Interconnect Design for Heterogeneous Integration of Chiplets in the AMD Instinct MI300X Accelerator","year":2024,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Instinct; Computer science; Interconnection; Computer architecture; Embedded system; Software engineering; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.06929559412283103,"gpt":0.3113671221693567,"spread":0.2420715280465257,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056149,0.0001584665,0.0001992595,0.0002240316,0.00003895716,0.0002349291,0.001069529,0.00008759651,0.00000267896],"category_scores_gemma":[0.00005933137,0.0001103679,0.0001088157,0.0004019527,0.00003373583,0.0002994415,0.00004569626,0.0001506228,0.00001178082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007517623,"about_ca_system_score_gemma":0.00008645691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003872639,"about_ca_topic_score_gemma":0.00005787337,"domain_scores_codex":[0.9986367,0.0002674033,0.0003949481,0.0003467664,0.0001437161,0.0002104888],"domain_scores_gemma":[0.9988287,0.0005223906,0.00007713755,0.0004787146,0.00006990496,0.00002314054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001525902,0.00004562103,0.000008296493,0.0001074033,0.00002022771,0.00003177255,0.005064006,0.00004126419,0.9561149,0.00320749,0.005356412,0.02998737],"study_design_scores_gemma":[0.0001179905,0.0002444181,0.00001027534,0.0002371341,0.000005638763,0.00009545917,0.00003914277,0.02202643,0.9719597,0.003270046,0.00185945,0.0001343478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1146248,0.0006103338,0.8828103,0.0002096954,0.0005529423,0.0008869757,0.000006905414,0.0001967274,0.00010135],"genre_scores_gemma":[0.9419857,0.000009427577,0.0574484,0.0002029607,0.0000860347,0.0002183659,0.000001916233,0.00001623217,0.00003095389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8273609,"threshold_uncertainty_score":0.4500672,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2515096075","doi":"10.1109/mm.2016.61","title":"Proprietary versus Open Instruction Sets","year":2016,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Session (web analytics); Subject (documents); Set (abstract data type); Instruction set; Position paper; Architecture; Computer architecture; World Wide Web; Multimedia; Software engineering; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.03117803778238517,"gpt":0.2713085436444981,"spread":0.2401305058621129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001243341,0.0001052135,0.0001001792,0.00005825299,0.00004742398,0.00009352677,0.001251971,0.00006207788,0.00001228289],"category_scores_gemma":[0.000003984835,0.00007786666,0.00003090566,0.0001327266,0.00002767787,0.0006985489,0.0003354762,0.00006722835,0.00008620069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008176686,"about_ca_system_score_gemma":0.00004520496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003236272,"about_ca_topic_score_gemma":0.000003962949,"domain_scores_codex":[0.9992583,0.00002182144,0.0001223401,0.0002991369,0.0001157826,0.0001826664],"domain_scores_gemma":[0.9992535,0.00002261904,0.00004074203,0.0005816418,0.00004784555,0.00005369503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003054229,0.00002682906,0.0001795412,0.00001008294,0.00002172245,0.00001670517,0.0001512102,0.0000199027,0.1474072,0.01560137,0.01362312,0.8229117],"study_design_scores_gemma":[0.001798517,0.0002029495,0.001061477,0.0001102881,0.000006666417,0.00006216048,7.325923e-7,0.001612101,0.6858661,0.00339484,0.3054071,0.0004770869],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05553262,0.00001745359,0.941759,0.0004776538,0.001137866,0.0001934794,0.000003536802,0.000617631,0.0002607448],"genre_scores_gemma":[0.1842645,0.00001378711,0.8152516,0.00007246538,0.00006347033,0.00003588638,8.309114e-7,0.00001487012,0.0002825639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8224347,"threshold_uncertainty_score":0.317531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401880292","doi":"10.1109/mm.2024.3447711","title":"Co-Design of Interchiplet, Package, and System Interconnect Protocols","year":2024,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Computer science; Interconnection; Computer architecture; Embedded system; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.03457412439194708,"gpt":0.2935970689553953,"spread":0.2590229445634483,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068613,0.000156327,0.0002676098,0.0001670497,0.00005190877,0.0003374681,0.0004540788,0.00007826805,0.000009318179],"category_scores_gemma":[0.00001133217,0.0001261798,0.00008390138,0.0002189669,0.00005097222,0.0002691353,0.00005538214,0.0001586972,0.00007470721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005924971,"about_ca_system_score_gemma":0.00004737826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002958145,"about_ca_topic_score_gemma":0.000004477729,"domain_scores_codex":[0.9986595,0.0002132262,0.0004002237,0.0003890398,0.0001271185,0.0002108738],"domain_scores_gemma":[0.9991851,0.0002252301,0.00007547234,0.0003915915,0.00006169676,0.00006086922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009262631,0.0001061337,0.0001506297,0.003781408,0.0003275653,0.000293081,0.011098,0.0002775253,0.7580316,0.09140665,0.09257155,0.0418632],"study_design_scores_gemma":[0.000967395,0.001226051,0.00006352271,0.00859097,0.00002833059,0.001732012,0.0007792162,0.3387204,0.5828839,0.001055276,0.06309549,0.000857439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006380842,0.0003324291,0.9862813,0.0001034951,0.001367899,0.003540774,0.000007549677,0.0002910395,0.001694635],"genre_scores_gemma":[0.9951265,0.000004766737,0.003080645,0.00005727833,0.000206835,0.0009671453,6.822648e-7,0.00001795697,0.0005382106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9887456,"threshold_uncertainty_score":0.5145462,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401328656","doi":"10.1109/mm.2024.3423785","title":"Parallelization Strategies for DLRM Embedding Bag Operator on AMD CPUs","year":2024,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Parallel computing; Embedding; Operator (biology); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02381518527007853,"gpt":0.3090348450118793,"spread":0.2852196597418008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006296299,0.0000870654,0.00006910948,0.00003973299,0.0001540791,0.0008345978,0.0002921447,0.0000342964,0.00001031],"category_scores_gemma":[0.000002022769,0.00007386885,0.00004644756,0.0002073934,0.00001650571,0.000280356,0.00002453525,0.00006439177,0.0001179457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002083969,"about_ca_system_score_gemma":0.00005936998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004055932,"about_ca_topic_score_gemma":0.000005893096,"domain_scores_codex":[0.9993632,0.00001016019,0.0001139621,0.0002865557,0.00006578059,0.0001603386],"domain_scores_gemma":[0.9996305,0.00007009839,0.00001700436,0.0002155235,0.0000309017,0.00003599263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007688802,0.00006430191,0.000007924533,0.00008086961,0.00002924739,0.00001254599,0.0008803047,0.04301951,0.3054273,0.4383907,0.1613855,0.05069403],"study_design_scores_gemma":[0.0002109602,0.0001156599,0.00003026026,0.0001091193,0.000009896009,0.00001251371,0.00005234454,0.6727339,0.06993543,0.01545043,0.2410379,0.0003015771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07395761,0.0003233195,0.9219593,0.001762286,0.0009377631,0.0002950454,0.00001083475,0.0002846234,0.0004691705],"genre_scores_gemma":[0.9747033,0.00003618578,0.02256732,0.000784501,0.0004629497,0.0001271278,0.000009314561,0.00001620224,0.001293111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9007457,"threshold_uncertainty_score":0.8048046,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058147415","doi":"10.1109/mm.2014.31","title":"Hot Chips 25","year":2014,"lang":"nl","type":"article","venue":"IEEE Micro","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Computer architecture; Operating system; Parallel computing; Embedded system","retraction":null,"screen_n_in":null,"score":{"opus":0.01717269831045461,"gpt":0.2292908778665438,"spread":0.2121181795560892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002418432,0.0001477762,0.0001361847,0.00007053027,0.0001059189,0.0001937755,0.0005954098,0.00006705573,0.00005686171],"category_scores_gemma":[0.00003327395,0.000156744,0.00006763458,0.0001995957,0.00002888412,0.0001213939,0.00006973734,0.0001708441,0.001794137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000412201,"about_ca_system_score_gemma":0.0000734757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003111329,"about_ca_topic_score_gemma":0.000004989368,"domain_scores_codex":[0.9990179,0.00002702127,0.0001796782,0.0002969416,0.0001535907,0.0003248653],"domain_scores_gemma":[0.9992142,0.0001012455,0.00004701738,0.0004446943,0.00006200594,0.0001308088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001014616,0.000620091,0.001923677,0.0004236159,0.0001809241,0.00002042273,0.005582733,0.06905781,0.3126209,0.2843332,0.2802792,0.04494729],"study_design_scores_gemma":[0.0006286743,0.0001659083,0.02531195,0.0002847738,0.00003958101,0.00007674895,0.0000433281,0.3392618,0.04417535,0.003904492,0.5849558,0.001151593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1082085,0.0008648421,0.860704,0.003862106,0.01252124,0.0001129639,0.000005277428,0.0001125039,0.01360862],"genre_scores_gemma":[0.9633278,0.00004276755,0.02916231,0.0006889543,0.001186937,0.000003334844,0.000002285729,0.00001886034,0.005566717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8551193,"threshold_uncertainty_score":0.9989831,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994402203","doi":"10.1109/mm.2013.70","title":"Automating Stressmark Generation for Testing Processor Voltage Fluctuations","year":2013,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"National Air and Space Museum","keywords":"Computer science; Multi-core processor; x86; Voltage; Microprocessor; Embedded system; Resilience (materials science); Power (physics); Synchronization (alternating current); Operating system; Electrical engineering; Software; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02542739159725563,"gpt":0.2232037806012979,"spread":0.1977763890040423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001125735,0.0001618328,0.000128566,0.00009351331,0.0001719093,0.0001357469,0.0001382404,0.00007434021,0.00005258488],"category_scores_gemma":[0.00009437119,0.0001637657,0.00003312044,0.0002223003,0.00001644849,0.0004647173,0.000009032919,0.00009724768,0.0001884621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007652712,"about_ca_system_score_gemma":0.00003144844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001997446,"about_ca_topic_score_gemma":0.00001022235,"domain_scores_codex":[0.9991341,0.000007166389,0.0002719482,0.0001786717,0.00009995024,0.0003082121],"domain_scores_gemma":[0.9994546,0.0001031963,0.00004986114,0.0001814467,0.0001585333,0.00005238545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.017743e-7,0.000008833426,0.0002646042,0.0001310495,0.00001491533,2.916026e-7,0.000287495,0.0159173,0.9569569,0.000007382267,0.01119937,0.01521148],"study_design_scores_gemma":[0.0002127803,0.00001926019,0.001167857,0.00003816366,0.00001231657,0.000003029201,0.00001970656,0.6108174,0.3870461,0.00004407431,0.0004344546,0.0001848487],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8713729,0.0001070318,0.1259724,0.00002781756,0.000624278,0.00068443,0.00001805643,0.0006498502,0.0005432621],"genre_scores_gemma":[0.9402328,0.000003206816,0.05830335,0.00004648422,0.0005277778,0.0004344816,0.00003360448,0.00006198284,0.0003563228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5949001,"threshold_uncertainty_score":0.6678172,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2087303512","doi":"10.1109/mm.2015.34","title":"Justice Department Agrees IEEE's New RAND Policy Isn't Price Fixing","year":2015,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Computer science; Economic Justice; Column (typography); Computer security; Operations research; Telecommunications; Law; Political science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.184336656938561,"gpt":0.2745142730058895,"spread":0.09017761606732846,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002811522,0.0002249198,0.0002077533,0.0001981391,0.0002006553,0.000320199,0.0003096912,0.00008784762,0.0003151179],"category_scores_gemma":[0.000201533,0.0001854365,0.0000808604,0.0004147251,0.00003675857,0.0006242701,0.00007966594,0.0001522273,0.004244979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007867267,"about_ca_system_score_gemma":0.0001281281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002865366,"about_ca_topic_score_gemma":0.0001186169,"domain_scores_codex":[0.9987496,0.00001635993,0.0002547957,0.0002883232,0.0002467306,0.0004441589],"domain_scores_gemma":[0.99938,0.00004311432,0.0001253936,0.0002254341,0.0001726725,0.00005341989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000357531,0.0001372295,0.0006251209,0.0002347391,0.00008037302,0.00004346686,0.0007702525,0.0003676515,0.02544384,0.0003166869,0.9667805,0.004842625],"study_design_scores_gemma":[0.002274396,0.00003963901,0.000212676,0.0001143635,0.000192283,0.00001792538,0.0002438536,0.001070383,0.02462807,0.000937188,0.969723,0.0005461968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7568373,0.0007865584,0.003653674,0.00332886,0.005138293,0.0007646064,0.000008212282,0.0003371132,0.2291453],"genre_scores_gemma":[0.9507677,0.00002707365,0.0003462771,0.009776773,0.008685983,0.00001076261,0.00002416155,0.00005199134,0.0303093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.198836,"threshold_uncertainty_score":0.9965304,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2626965056","doi":"10.1109/mm.2017.68","title":"Ti-States: Power Management in Active Timing Margin Processors","year":2017,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Inversion (geology); Computer science; Transistor; Architecture; Power management; CMOS; Processor design; Computer architecture; Power (physics); Embedded system; Electrical engineering; Engineering; Voltage; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01531124979383677,"gpt":0.2449080250036954,"spread":0.2295967752098586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001295994,0.0002111565,0.0001860584,0.0001759151,0.0001213048,0.0001187845,0.000465164,0.00007661483,0.00008158969],"category_scores_gemma":[0.000005723542,0.0002156232,0.00003866826,0.00009745655,0.00004727077,0.0004553561,0.00005240444,0.0002013385,0.0004702093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001773177,"about_ca_system_score_gemma":0.00001308184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002185044,"about_ca_topic_score_gemma":0.00003006104,"domain_scores_codex":[0.9989848,0.000009120046,0.0001995216,0.0002404852,0.000137866,0.0004281777],"domain_scores_gemma":[0.9993585,0.00001505242,0.00005394958,0.000493711,0.00002254489,0.00005623223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005654735,0.0008123371,0.01483401,0.003787775,0.001682113,0.002484166,0.04628368,0.1335776,0.4662676,0.0005360803,0.1481016,0.1810676],"study_design_scores_gemma":[0.004004062,0.000108654,0.04911561,0.0008034594,0.00007960475,0.00002923485,0.001249912,0.02562352,0.8408252,0.000564348,0.07566823,0.001928176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692247,0.0001255197,0.001058905,0.00009932325,0.000937412,0.0003814351,0.00001111961,0.000210758,0.02795081],"genre_scores_gemma":[0.9964352,0.0001369435,0.001775675,0.00005466842,0.00004995335,0.00005602038,0.000004205493,0.00006148152,0.001425914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3745576,"threshold_uncertainty_score":0.8792861,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220946767","doi":"10.1109/mm.2022.3151214","title":"Special Issue on Hot Interconnects","year":2022,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer architecture; Data science","retraction":null,"screen_n_in":null,"score":{"opus":0.01571338613231099,"gpt":0.2328632775243946,"spread":0.2171498913920836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002643368,0.0001095522,0.0001361018,0.0001083508,0.0002761272,0.0001234944,0.0007433014,0.00002827259,0.001070551],"category_scores_gemma":[0.000006936416,0.0001083963,0.00008721658,0.0002407369,0.00001413517,0.0001142355,0.0001762587,0.0002335336,0.0006416657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001179172,"about_ca_system_score_gemma":0.00002576811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003561265,"about_ca_topic_score_gemma":0.00001771605,"domain_scores_codex":[0.9989117,0.0001335284,0.0001869316,0.0003330886,0.000198382,0.0002363752],"domain_scores_gemma":[0.9993905,0.00006262607,0.00006507231,0.0004013627,0.00002919023,0.00005122198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002403188,0.00006835004,0.00001351595,0.000003886207,0.0000142261,0.00005861244,0.001527937,0.000864487,0.004481513,0.007174086,0.9698739,0.01589547],"study_design_scores_gemma":[0.0002223837,0.0002582827,0.00002396196,0.00001005714,0.000001322729,0.00009341623,0.0001205434,0.003028853,0.008990541,0.0002075352,0.98689,0.0001531545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2857438,0.0001975519,0.09253562,0.006408239,0.1963663,0.001022244,0.00003778394,0.0009050777,0.4167834],"genre_scores_gemma":[0.9539333,0.000002994987,0.0005885113,0.004365067,0.02235193,0.0000517331,0.000002558285,0.00001924379,0.01868469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6681895,"threshold_uncertainty_score":0.9998426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2038398651","doi":"10.1109/mm.2007.25","title":"The High Cost of a Cheap Lesson","year":2007,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Gossip; Product (mathematics); Point (geometry); Computer science; New product development; Marketing; Service (business); Telecommunications; World Wide Web; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.01626571514083649,"gpt":0.2725921783291053,"spread":0.2563264631882688,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006166251,0.00006246335,0.00007684949,0.00004917624,0.0001446818,0.0000709927,0.0008143769,0.00003631973,0.000004457289],"category_scores_gemma":[0.00004021609,0.00004686322,0.00003030335,0.0005518556,0.0000790547,0.0001178671,0.00008545342,0.00009953301,0.00006752991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003325248,"about_ca_system_score_gemma":0.00004431096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007716542,"about_ca_topic_score_gemma":0.00005739056,"domain_scores_codex":[0.9992944,0.00001683469,0.0002127375,0.0001417567,0.0001265877,0.0002076744],"domain_scores_gemma":[0.9989914,0.0002360111,0.00009591944,0.0005010394,0.0001474284,0.00002819171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002279154,0.0001948702,0.004218206,0.00001998863,0.00005889068,0.00002458423,0.003569843,0.00006891483,0.4915189,0.1486963,0.04353923,0.3080675],"study_design_scores_gemma":[0.0003437167,0.00004206221,0.01718606,0.00002401933,0.000004275888,0.00002102829,0.00005482297,0.000148547,0.7689868,0.003051234,0.2099645,0.0001729632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3555642,0.00005627657,0.6395704,0.002395896,0.0007537125,0.00017094,0.000003531771,0.00007871474,0.001406316],"genre_scores_gemma":[0.9757953,0.000003031497,0.02300823,0.0004080011,0.00006928348,0.000004419316,7.250896e-7,0.000006507762,0.0007045215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6202311,"threshold_uncertainty_score":0.1911027,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1989802261","doi":"10.1109/mm.2011.49","title":"Systems for Very Large-Scale Computing","year":2011,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scale (ratio); Distributed computing; Parallel computing","retraction":null,"screen_n_in":null,"score":{"opus":0.03388179097248963,"gpt":0.2447565556705004,"spread":0.2108747646980108,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005483544,0.0001645504,0.0002448457,0.00006581521,0.0002081261,0.0001785971,0.0009540597,0.00008507379,0.000002515834],"category_scores_gemma":[0.000009446023,0.000157691,0.0001186835,0.0002049478,0.00002048458,0.0001582249,0.000114844,0.00009422065,0.0001268068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000339222,"about_ca_system_score_gemma":0.0000472823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007294358,"about_ca_topic_score_gemma":0.000003216525,"domain_scores_codex":[0.9985626,0.00006640638,0.0003245591,0.0004117544,0.0001353672,0.0004992975],"domain_scores_gemma":[0.9990324,0.00009637765,0.0001433878,0.0005139656,0.0001172044,0.00009666538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001719829,0.002191568,0.01843931,0.002238128,0.0007114043,0.00023535,0.0646605,0.01213662,0.04596077,0.1080872,0.7275245,0.01764264],"study_design_scores_gemma":[0.002252228,0.0003228759,0.001885362,0.0003951654,0.00003060365,0.0002295524,0.0004048984,0.6915846,0.01237663,0.000952003,0.2884106,0.001155434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.052851,0.0004538042,0.9386004,0.00002380818,0.004511797,0.0003110358,0.00002998265,0.0003310239,0.002887177],"genre_scores_gemma":[0.9741204,0.00000261171,0.02472191,0.0001270988,0.0004063735,0.00001213407,0.000009582534,0.00001589801,0.0005839956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9212694,"threshold_uncertainty_score":0.6430454,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058552672","doi":"10.1109/mm.2007.82","title":"Dog Days for Broadband","year":2007,"lang":"en","type":"article","venue":"IEEE Micro","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Broadband; Liberian dollar; Revenue; Computer science; Broadband networks; Telecommunications; Column (typography); Economics; Finance; Frame (networking)","retraction":null,"screen_n_in":null,"score":{"opus":0.01281583936614542,"gpt":0.2579019351073922,"spread":0.2450860957412468,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007549886,0.00006605598,0.00006512643,0.00004027567,0.00002790927,0.0000159117,0.00005624073,0.00004402128,0.00001971689],"category_scores_gemma":[0.000003873242,0.00006324991,0.00003614639,0.00004453451,0.00001101508,0.00003441342,0.00000254582,0.00004045498,0.00006148552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001987008,"about_ca_system_score_gemma":0.000003694692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001651007,"about_ca_topic_score_gemma":0.00001131055,"domain_scores_codex":[0.9996422,0.000001149462,0.00007666114,0.00002342808,0.00002749924,0.0002290459],"domain_scores_gemma":[0.9998215,0.00004057288,0.000006098099,0.00008127365,0.00001010514,0.00004047613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000715622,0.000006724323,0.0002704384,0.00004624116,0.0000208083,9.845498e-7,0.002649921,0.000282642,0.8565711,0.00009054335,0.1352185,0.004834868],"study_design_scores_gemma":[0.00018907,0.00001357408,0.0009528776,0.000005846262,0.000005567715,0.000005514476,0.0000638465,0.00006684515,0.7031716,0.00006383558,0.2953689,0.00009250103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717219,0.0003480735,0.01330402,0.00003002399,0.0008526811,0.00008963499,0.00002177724,0.0001510765,0.0134808],"genre_scores_gemma":[0.9969119,0.00001448717,0.0004360965,0.0001513424,0.000443513,0.00000274298,0.000004295179,0.00002337913,0.002012268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1601504,"threshold_uncertainty_score":0.2579257,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1980956837","doi":"10.1109/mm.2013.17","title":"Optical Interconnects and Their Implications","year":2013,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Interconnection; Optical interconnect; Column (typography); Optical performance monitoring; Integrated optics; Computer architecture; Electronic engineering; Optoelectronics; Telecommunications; Wavelength-division multiplexing; Materials science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01087258485254241,"gpt":0.2001511181224738,"spread":0.1892785332699314,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001535355,0.00007274369,0.00007340428,0.00002086894,0.00002027813,0.00004746203,0.00006438798,0.00003990616,0.0001054917],"category_scores_gemma":[0.000006011785,0.00005601469,0.00001892029,0.0000391355,0.00003238599,0.00009066006,0.00001117055,0.00006721562,0.0001979401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009769558,"about_ca_system_score_gemma":0.000002064726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001136457,"about_ca_topic_score_gemma":0.000005258229,"domain_scores_codex":[0.9996979,0.000002747953,0.0000747613,0.00008541556,0.00001174229,0.0001274156],"domain_scores_gemma":[0.9997415,0.00005740818,0.000004179342,0.0001092342,0.00001630361,0.00007139115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[2.269706e-7,0.000005069099,0.0001571043,0.00001234545,0.00001207361,1.721661e-7,0.0001022406,0.00001280754,0.9896623,0.0004423444,0.004602673,0.004990584],"study_design_scores_gemma":[0.0002436116,0.00002912274,0.01387405,0.00003233002,0.00001168826,0.00003401355,0.0002649124,0.004838021,0.9623872,0.003158127,0.01479953,0.000327398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943561,0.0003690047,0.0005710895,0.000269975,0.0001673146,0.00007638225,0.000004562984,0.0001088998,0.004076679],"genre_scores_gemma":[0.9989699,0.00003631564,0.0006726261,0.0001810832,0.00005752841,0.00001688145,0.00000170304,0.0000125761,0.0000513741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02727517,"threshold_uncertainty_score":0.2544186,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3148265697","doi":"10.1109/mm.2011.59","title":"Systems for Very Large-Scale Computing","year":2011,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Carnegie Mellon University","keywords":"Computer science; Scale (ratio); Distributed computing; Range (aeronautics); Data science; Computer architecture","retraction":null,"screen_n_in":null,"score":{"opus":0.03388179097248963,"gpt":0.2447565556705004,"spread":0.2108747646980108,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005483544,0.0001645504,0.0002448457,0.00006581521,0.0002081261,0.0001785971,0.0009540597,0.00008507379,0.000002515834],"category_scores_gemma":[0.000009446023,0.000157691,0.0001186835,0.0002049478,0.00002048458,0.0001582249,0.000114844,0.00009422065,0.0001268068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000339222,"about_ca_system_score_gemma":0.0000472823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007294358,"about_ca_topic_score_gemma":0.000003216525,"domain_scores_codex":[0.9985626,0.00006640638,0.0003245591,0.0004117544,0.0001353672,0.0004992975],"domain_scores_gemma":[0.9990324,0.00009637765,0.0001433878,0.0005139656,0.0001172044,0.00009666538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001719829,0.002191568,0.01843931,0.002238128,0.0007114043,0.00023535,0.0646605,0.01213662,0.04596077,0.1080872,0.7275245,0.01764264],"study_design_scores_gemma":[0.002252228,0.0003228759,0.001885362,0.0003951654,0.00003060365,0.0002295524,0.0004048984,0.6915846,0.01237663,0.000952003,0.2884106,0.001155434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.052851,0.0004538042,0.9386004,0.00002380818,0.004511797,0.0003110358,0.00002998265,0.0003310239,0.002887177],"genre_scores_gemma":[0.9741204,0.00000261171,0.02472191,0.0001270988,0.0004063735,0.00001213407,0.000009582534,0.00001589801,0.0005839956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9212694,"threshold_uncertainty_score":0.6430454,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408441842","doi":"10.1109/mm.2025.3544666","title":"Derek Chiou","year":2025,"lang":"nl","type":"article","venue":"IEEE Micro","topic":"Sound Studies and Aurality","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02364717926680608,"gpt":0.3434692031154604,"spread":0.3198220238486543,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001851218,0.0002430623,0.000361777,0.00007130505,0.000296435,0.00005943388,0.0002889431,0.0002095988,0.002063217],"category_scores_gemma":[0.0000294432,0.0002349015,0.0002041493,0.0002968203,0.0001832024,0.00002468927,0.00007900069,0.0003104303,0.005244684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006870654,"about_ca_system_score_gemma":0.00005242143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007123756,"about_ca_topic_score_gemma":0.0002186376,"domain_scores_codex":[0.9984179,0.0001428918,0.0003508775,0.0004798721,0.0000780924,0.0005304018],"domain_scores_gemma":[0.9990675,0.0001765368,0.00008088069,0.0005606611,0.0000577269,0.00005664716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008592586,0.0002797568,0.01776172,0.00009508446,0.0006115401,0.00003735695,0.001875142,8.603976e-7,0.005827483,0.003362347,0.9614793,0.008583477],"study_design_scores_gemma":[0.001254676,0.00005443047,0.07969336,0.00008777271,0.0001385814,0.000008867012,0.001632728,0.00000281017,0.002661445,0.002282667,0.9118924,0.0002902217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6969948,0.01440816,0.0002943526,0.007991567,0.01463819,0.0002906601,0.00009402353,0.00008011013,0.2652081],"genre_scores_gemma":[0.8185813,0.0003377378,0.00009215142,0.005404154,0.0004884149,0.00001874464,0.000005975462,0.00001807258,0.1750535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1215864,"threshold_uncertainty_score":0.998849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987098661","doi":"10.1109/mm.2013.27","title":"Inspection-Resistant Memory Architectures","year":2013,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Adversary; Probabilistic logic; Cryptography; Architecture; Chip; Embedded system; Computer security; Computer engineering; Computer hardware; Artificial intelligence; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01471336184865718,"gpt":0.2320977084324178,"spread":0.2173843465837606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009938957,0.00008423089,0.0000769898,0.00007945885,0.0001963915,0.0001975764,0.0005774544,0.0000378172,0.00004700635],"category_scores_gemma":[0.00001713711,0.00007877111,0.00004566364,0.0002137873,0.00004329712,0.0001185735,0.0000621203,0.0001238571,0.0004916581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002954855,"about_ca_system_score_gemma":0.00003153378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002102918,"about_ca_topic_score_gemma":0.000008965024,"domain_scores_codex":[0.9992529,0.00003921047,0.0001527138,0.0002547794,0.0001195654,0.000180886],"domain_scores_gemma":[0.9993357,0.00007555266,0.00005632489,0.0004115315,0.00006391121,0.00005697136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006199974,0.0001414415,0.0003111141,0.00003946608,0.00003863087,0.00001000178,0.006299174,0.0008264771,0.8452107,0.01513415,0.06620684,0.06577579],"study_design_scores_gemma":[0.0006842139,0.0001169814,0.02826966,0.00006214955,0.000007735373,0.000110157,0.0002065062,0.05492387,0.8477788,0.0276739,0.03935583,0.0008102117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7438537,0.0002177987,0.2469355,0.001678383,0.001432269,0.0001782624,9.341881e-7,0.0005811097,0.005122033],"genre_scores_gemma":[0.9728373,0.000002421253,0.02595065,0.0007583476,0.0002004671,0.00001404027,4.37661e-7,0.000005634338,0.0002307258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2289836,"threshold_uncertainty_score":0.6319433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2004979375","doi":"10.1109/mm.2006.64","title":"Room for a Thousand Flowers to Bloom","year":2006,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Contrarian; Value (mathematics); Variety (cybernetics); Marketing; Industrial organization; Selection (genetic algorithm); Business; Economics; Computer science; Artificial intelligence; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.01423634769376416,"gpt":0.2231937136050207,"spread":0.2089573659112566,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001231457,0.0001125808,0.0001059761,0.0001498345,0.0001411455,0.0002090688,0.0001120255,0.00005641176,0.00006341148],"category_scores_gemma":[0.00001375292,0.0001071321,0.00004293954,0.0004402324,0.00001209784,0.0004387134,0.00001721177,0.00004304949,0.0002471731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001288404,"about_ca_system_score_gemma":0.00001124374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003942831,"about_ca_topic_score_gemma":0.0001356215,"domain_scores_codex":[0.9993532,0.000001329433,0.0001714808,0.0001872211,0.00007260333,0.0002142082],"domain_scores_gemma":[0.9996236,0.00001100586,0.00006689289,0.0001199869,0.0001742439,0.000004276561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001415599,0.0001436504,0.003615899,0.0001827564,0.00001921192,0.000005125914,0.00001561538,0.0008491106,0.502376,0.02208353,0.4649532,0.005614373],"study_design_scores_gemma":[0.0009053487,0.00001181339,0.009379981,0.00004063834,0.0000397295,0.00000164318,0.00002885439,0.0006363206,0.03267846,0.005148486,0.9507775,0.0003511729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573726,0.00004570127,0.02040306,0.002674277,0.001277383,0.0004542344,0.000007706351,0.0001595564,0.01760546],"genre_scores_gemma":[0.9900432,5.796493e-7,0.001842353,0.003434725,0.002845062,0.00004391234,0.00005645745,0.00002836541,0.001705328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4858243,"threshold_uncertainty_score":0.4368722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}