{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"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","author_layer_release":"2026-06-26"},"query_hash":"bccdcc870528","filters":{"venue":"International Symposium on Microarchitecture"}},"results":[{"id":"W2562506265","doi":"10.5555/3195638.3195690","title":"The bunker cache for spatio-value approximation","year":2016,"lang":"en","type":"article","venue":"International Symposium on Microarchitecture","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":37,"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":"Cache; Computer science; Parallel computing; Cache algorithms; Cache pollution; Cache coloring; Smart Cache; Cache invalidation; Page cache; Bunker; Cache-oblivious algorithm; CPU cache","authors":[{"name":"Joshua San Miguel","is_ca":true},{"name":"Jorge Albericio","is_ca":true},{"name":"Natalie Enright Jerger","is_ca":true},{"name":"Aamer Jaleel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008961541499873363,"gpt":0.2538734180121845,"spread":0.2449118765123112,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002808378,0.0001469818,0.00008732532,0.0000756382,0.0002685568,0.0002188551,0.001220101,0.00007005696,0.000005590577],"category_scores_gemma":[0.0001267775,0.00007965173,0.0001020943,0.0001062825,0.00006186737,0.0001262092,0.0001359688,0.00009688551,0.00002835923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016847,"about_ca_system_score_gemma":0.00003412309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000078498,"about_ca_topic_score_gemma":0.000004926796,"domain_scores_codex":[0.9988518,0.00007005604,0.0002316902,0.0003489616,0.0002797683,0.0002176955],"domain_scores_gemma":[0.9987351,0.0005009674,0.0001385558,0.0003937563,0.0001858107,0.00004584411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000165571,0.00014409,0.0002126823,0.0000124083,0.00012761,0.000002481583,0.0007567,0.01871552,0.08329682,0.5142184,0.02704365,0.355304],"study_design_scores_gemma":[0.001519359,0.0003243514,0.0006548445,0.0001484986,0.00001026665,0.00005409457,0.000007948688,0.1813875,0.1600217,0.05646805,0.5988289,0.0005745338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001534308,0.00003047905,0.9451411,0.0494245,0.0006720612,0.0003161272,0.00001671487,0.0002783685,0.002586372],"genre_scores_gemma":[0.7478642,0.00009085701,0.2426961,0.002797148,0.0007281362,0.0002692293,0.00003437711,0.00004117356,0.005478849],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7463298,"threshold_uncertainty_score":0.3248103,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2564142802","doi":"10.5555/3195638.3195698","title":"CHAINSAW: von-neumann accelerators to leverage fused instruction chains","year":2016,"lang":"en","type":"article","venue":"International Symposium on Microarchitecture","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":"Simon Fraser University","funders":"","keywords":"Computer science; Parallel computing; Compiler; Microarchitecture; Dataflow; SIMD; Very long instruction word; Von Neumann architecture; Pipeline (software); Code generation; Computer architecture; Leverage (statistics); Instruction scheduling; Partition (number theory); Programming language; Operand; Key (lock); Computer hardware; Operating system; Schedule","authors":[{"name":"Amirali Sharifian","is_ca":true},{"name":"Snehasish Kumar","is_ca":true},{"name":"Apala Guha","is_ca":true},{"name":"Arrvindh Shriraman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01029120868981769,"gpt":0.2465166505645503,"spread":0.2362254418747326,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001571642,0.0002628527,0.0001728465,0.0003825453,0.0001649383,0.000218118,0.001509841,0.0001164015,0.00003777893],"category_scores_gemma":[0.00005628036,0.0001936122,0.0001126994,0.0003331521,0.00004417512,0.0002321095,0.0003260511,0.0001875535,0.0001445934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002135625,"about_ca_system_score_gemma":0.00004510045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002013548,"about_ca_topic_score_gemma":0.000009735419,"domain_scores_codex":[0.9981769,0.00008455656,0.0003109954,0.0006585247,0.0004433098,0.0003256975],"domain_scores_gemma":[0.9989134,0.00009094811,0.0001300178,0.0005282938,0.0001787852,0.0001585318],"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":[0.0002329362,0.0003503045,0.0009690154,0.00002106571,0.0001797078,0.00005226357,0.003064698,0.03331254,0.5263194,0.08204582,0.01149181,0.3419605],"study_design_scores_gemma":[0.004214244,0.00112971,0.008283265,0.0007101492,0.00001356619,0.0003092891,0.00002140911,0.02990991,0.6296655,0.005542968,0.3180508,0.002149153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1067871,0.0000110332,0.8581976,0.0298992,0.001449302,0.0002549237,0.00001978084,0.0007172737,0.002663782],"genre_scores_gemma":[0.9594308,0.00002822403,0.03437175,0.003266133,0.0004128626,0.00003767854,0.00000803208,0.00002768428,0.002416808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8526438,"threshold_uncertainty_score":0.7895275,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2121522147","doi":"10.5555/563998.564024","title":"Mapping reference code to irregular DSPs within the retargetable, optimizing compiler COGEN(T)","year":2001,"lang":"en","type":"article","venue":"International Symposium on Microarchitecture","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 Guelph","funders":"","keywords":"Computer science; Compiler; Dead code; Unreachable code; Code (set theory); Parallel computing; Code generation; Programming language; Redundant code; Object code; Schedule; Abstraction; Set (abstract data type); Dead code elimination; Instruction set; Operating system","authors":[{"name":"Gary Gréwal","is_ca":true},{"name":"Charles Thomas Wilson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01927482218811427,"gpt":0.2599013811475154,"spread":0.2406265589594012,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004339453,0.0002882376,0.0002124633,0.0002362557,0.0003502605,0.0004125972,0.002599477,0.0001081648,0.00003709277],"category_scores_gemma":[0.00005967702,0.0002161977,0.000102891,0.0005707754,0.00007237614,0.0001564738,0.0005299448,0.0005016609,0.0001086221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001213382,"about_ca_system_score_gemma":0.00005286355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004528173,"about_ca_topic_score_gemma":0.00001826316,"domain_scores_codex":[0.9978282,0.0001628171,0.0004224973,0.0006657828,0.0005571218,0.0003635718],"domain_scores_gemma":[0.998533,0.0001545752,0.0001978751,0.0007380583,0.0002439292,0.0001325856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001037565,0.0001384681,0.0004868691,0.000009749962,0.0001280661,0.00005617133,0.003907502,0.8967173,0.05689343,0.02294801,0.01030679,0.008303965],"study_design_scores_gemma":[0.0009538357,0.0003075765,0.001668385,0.000406941,0.00001441619,0.000644962,0.0001154198,0.4682772,0.04639321,0.004962027,0.4750409,0.001215124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01754664,0.00008591003,0.941143,0.02586262,0.0007692577,0.0003718097,0.00001857505,0.0005528059,0.01364938],"genre_scores_gemma":[0.6416408,0.00005008309,0.345469,0.009879876,0.000324291,0.0000560043,0.00004482895,0.00003793306,0.002497212],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6240941,"threshold_uncertainty_score":0.8816288,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898902424","doi":"","title":"EcoRNN: Efficient Computing of LSTM RNN on GPUs","year":2018,"lang":"en","type":"article","venue":"International Symposium on Microarchitecture","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Recurrent neural network; Parallel computing; Artificial intelligence; Artificial neural network","authors":[{"name":"Bojian Zheng","is_ca":true},{"name":"Gennady Pekhimenko","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007741681398862896,"gpt":0.2530854997087013,"spread":0.2453438183098384,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001138931,0.0001577157,0.0001309177,0.0001103327,0.0001270549,0.00007923722,0.001158047,0.00005530087,0.00002578036],"category_scores_gemma":[0.00001079264,0.0001307116,0.00009983305,0.000243637,0.0001110765,0.00002961759,0.0002304497,0.0002123703,0.0001341522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004991218,"about_ca_system_score_gemma":0.00001957736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001307991,"about_ca_topic_score_gemma":0.000004647799,"domain_scores_codex":[0.9987285,0.00003670913,0.0002562282,0.0004258705,0.0003385966,0.0002141641],"domain_scores_gemma":[0.9990736,0.0001314222,0.0001532171,0.0004326028,0.0001422292,0.0000669547],"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":[0.0001954272,0.001105942,0.0004271491,0.00002443132,0.0001572125,0.00002251963,0.002003731,0.1337198,0.3994871,0.2925589,0.01508949,0.1552083],"study_design_scores_gemma":[0.001380019,0.001329748,0.004584101,0.0003611167,0.00001516428,0.0001177742,0.00002007546,0.3914169,0.4188614,0.00434907,0.1767736,0.0007910886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7362252,0.00003643868,0.2074008,0.01799427,0.003897972,0.0004325484,0.00004719113,0.0002295246,0.03373606],"genre_scores_gemma":[0.9915569,0.000002723239,0.005254925,0.002221659,0.0006638748,0.000005816867,0.000007942961,0.00001166785,0.0002745129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2882099,"threshold_uncertainty_score":0.5330265,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898977042","doi":"","title":"Design and Analysis of Efficient Inter-core Communication in GPUs","year":2018,"lang":"en","type":"article","venue":"International Symposium on Microarchitecture","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Core (optical fiber); Parallel computing; Multi-core processor; Computer architecture; Telecommunications","authors":[{"name":"Mohamed Assem Ibrahim","is_ca":false},{"name":"Hongyuan Liu","is_ca":false},{"name":"Onur Kayıran","is_ca":true},{"name":"Adwait Jog","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01423840029766085,"gpt":0.2758345008583439,"spread":0.2615961005606831,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002854725,0.0001082507,0.0001621917,0.0005880559,0.00004910204,0.00005819902,0.0008542329,0.00005704511,0.00001048156],"category_scores_gemma":[0.00003019268,0.00009796463,0.00005450318,0.0006676538,0.0001153032,0.00004312737,0.0002546968,0.0001359226,0.000003090911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005078705,"about_ca_system_score_gemma":0.00001605982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004596321,"about_ca_topic_score_gemma":0.00001685701,"domain_scores_codex":[0.9990582,0.0001116423,0.0002622379,0.0002791405,0.0001752899,0.0001134587],"domain_scores_gemma":[0.9991119,0.0001758713,0.0001380141,0.0003957156,0.0001474636,0.00003107369],"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":[0.0001980296,0.0004414485,0.005876504,0.00001266144,0.0005048702,0.000006454251,0.009649011,0.8711485,0.0562906,0.01902633,0.0004958792,0.0363497],"study_design_scores_gemma":[0.0002296497,0.0001276355,0.004354412,0.00005333514,0.00001632184,0.000006576501,0.000006726667,0.9732485,0.02068754,0.0007964264,0.0003533817,0.0001195267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1313123,0.00004148715,0.8661571,0.001270933,0.00008780768,0.0001181223,0.000003923637,0.00007081524,0.0009375269],"genre_scores_gemma":[0.8520004,0.00001922575,0.1476669,0.0002387838,0.00001454769,0.000006597877,0.00001101301,0.000004704312,0.00003789497],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.720688,"threshold_uncertainty_score":0.3994882,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}