{"meta":{"query_hash":"a35e1fe0a9e5","filters":{"venue":"IEEE Micro"},"cohort_total":41,"direct_labels_cover":0,"predictions_cover":41,"exported":41,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/a35e1fe0a9e5","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Micro"},"results":[{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.038072704502940986,"score_gpt":0.2769949186668803,"score_spread":0.23892221416393933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1815597787","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10104072,0.002881637,0.8149676,0.0031783567,0.00053485646,0.00017171606,0.00024386833,0.0054404116,0.071540885],"genre_scores_gemma":[0.7308619,0.0014527529,0.25522342,0.00072854164,0.00021360572,0.00017451722,0.00041644106,0.00049058447,0.010438251],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994305,0.000088027315,0.000029006189,0.00008258998,0.00025169348,0.00011816982],"domain_scores_gemma":[0.9992855,0.00016382395,0.000039366594,0.00028926367,0.00013955605,0.00008246342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006951907,0.00054269214,0.00048325447,0.0003586638,0.0008342882,0.001986161,0.0012828276,0.0005162737,0.0036046167],"category_scores_gemma":[0.0016120203,0.00028807038,0.00036269828,0.00049121334,0.0007360784,0.0033268158,0.0029477389,0.0013097628,0.000981637],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069616985,0.0002526112,0.0037009264,0.00039755044,0.00015189397,0.0010891485,0.0009419841,0.13923442,0.20334311,0.3160096,0.03682623,0.29735634],"study_design_scores_gemma":[0.00009836568,0.00022416638,0.0014503611,0.000087327855,0.00006721557,0.00056141894,0.00044214644,0.56919163,0.079394266,0.16236033,0.18602486,0.00009789037],"about_ca_topic_score_codex":0.0011141766,"about_ca_topic_score_gemma":0.0017529024,"teacher_disagreement_score":0.0036046167,"about_ca_system_score_codex":0.00062016485,"about_ca_system_score_gemma":0.0005316614,"threshold_uncertainty_score":0.012058675},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Computer science; 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","score_opus":0.015217905124170292,"score_gpt":0.2686536691295757,"score_spread":0.2534357640054054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978904804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08309146,0.0014082598,0.894743,0.0004145792,0.00037604466,0.00026196352,0.00017628707,0.010567098,0.008961249],"genre_scores_gemma":[0.61493695,0.0006331228,0.37331712,0.00042571125,0.0000757437,0.0004040829,0.00040226654,0.00068658654,0.009118415],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864656,0.00024427098,0.00012289512,0.00021348405,0.00060007244,0.000172693],"domain_scores_gemma":[0.9967456,0.00087297376,0.0003153983,0.0013714907,0.00058225123,0.00011240426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015860157,0.00043894054,0.000515999,0.0006720376,0.00078256463,0.0017399723,0.0035128754,0.000595348,0.0029325304],"category_scores_gemma":[0.0042878943,0.0006134307,0.00052031066,0.0005563887,0.0011965528,0.0027150784,0.0022397425,0.0017081675,0.00053488376],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020441078,0.00054723927,0.0063487585,0.0011464967,0.00023841698,0.00034796025,0.0010207715,0.11823601,0.1372194,0.25600582,0.020834107,0.45601085],"study_design_scores_gemma":[0.00062800903,0.00090433826,0.0009156285,0.00014771338,0.00016413028,0.0003542221,0.00016528256,0.6564802,0.19395047,0.06553572,0.08055801,0.00019620474],"about_ca_topic_score_codex":0.0024927405,"about_ca_topic_score_gemma":0.005399502,"teacher_disagreement_score":0.0035128754,"about_ca_system_score_codex":0.0013285719,"about_ca_system_score_gemma":0.0033362934,"threshold_uncertainty_score":0.009810269},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.010872584852542408,"score_gpt":0.20015111812247377,"score_spread":0.18927853326993135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980956837","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018427159,0.20119965,0.0034121147,0.4264965,0.03718099,0.000018593837,0.00009280405,0.000103659244,0.32965294],"genre_scores_gemma":[0.0844454,0.50659126,0.0051078503,0.079207055,0.05067694,0.00008904749,0.000082507744,0.00014316567,0.2736567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980039,0.0004207966,0.000064697226,0.00015371988,0.0011512269,0.0002055603],"domain_scores_gemma":[0.9955753,0.0024721716,0.00028608387,0.00017987247,0.0011910424,0.00029546116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002360222,0.00062835746,0.00045323413,0.0009972436,0.0037546644,0.0064259465,0.0010808037,0.0053659775,0.028376764],"category_scores_gemma":[0.008043883,0.00048184692,0.00036151076,0.0013761806,0.0050662076,0.007562461,0.0017966545,0.0057648118,0.0048864377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032334232,0.000043712807,0.00023951719,0.00030291558,0.0000075267835,0.0003197823,0.00026143066,0.00093952724,0.00036498054,0.56467634,0.31776765,0.11504423],"study_design_scores_gemma":[0.0000043261407,0.000021714452,0.00016972801,0.000406995,0.000003410998,0.00021713843,0.00046111472,0.00019291817,0.00012986037,0.10331003,0.8950695,0.000013215978],"about_ca_topic_score_codex":0.0042481557,"about_ca_topic_score_gemma":0.0076626935,"teacher_disagreement_score":0.028376764,"about_ca_system_score_codex":0.0028578816,"about_ca_system_score_gemma":0.0029737062,"threshold_uncertainty_score":0.094929695},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Adversary; Probabilistic logic; Cryptography; Architecture; Chip; Embedded system; Computer security; Computer engineering; Computer hardware; Artificial intelligence; Telecommunications","score_opus":0.014713361848657184,"score_gpt":0.2320977084324178,"score_spread":0.21738434658376063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987098661","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36732185,0.004931897,0.5690944,0.001057934,0.0003214998,0.00019535204,0.0002998666,0.006782931,0.0499943],"genre_scores_gemma":[0.91605914,0.0008242432,0.06348455,0.00024964788,0.000053818698,0.000097850076,0.0002165122,0.00012334707,0.01889098],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958247,0.00007613782,0.000026021258,0.00007844898,0.00014171461,0.00009532679],"domain_scores_gemma":[0.9988067,0.00027537224,0.00018087446,0.0004654788,0.00023290659,0.00003866278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004540066,0.00037677612,0.0004205616,0.00078628835,0.00055984297,0.0011064707,0.0018953274,0.00063865347,0.005654249],"category_scores_gemma":[0.0016726005,0.00023491912,0.00041582723,0.00052247924,0.0006554705,0.0020229917,0.00087994366,0.000792521,0.001167366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013682772,0.00031079998,0.0032533407,0.00063723564,0.00020266356,0.0004785356,0.00056697044,0.1584128,0.12856859,0.43107003,0.01896084,0.25617],"study_design_scores_gemma":[0.00016604723,0.00087143865,0.0009403056,0.00010399754,0.00016277132,0.00082520756,0.00010405529,0.71501094,0.09700299,0.15239173,0.03233732,0.000083173596],"about_ca_topic_score_codex":0.0008242999,"about_ca_topic_score_gemma":0.0012351332,"teacher_disagreement_score":0.005654249,"about_ca_system_score_codex":0.0009069627,"about_ca_system_score_gemma":0.0006298819,"threshold_uncertainty_score":0.018915355},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scale (ratio); Distributed computing; Parallel computing","score_opus":0.033881790972489625,"score_gpt":0.24475655567050036,"score_spread":0.21087476469801075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989802261","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002881123,0.09556916,0.5179191,0.019147083,0.073158614,0.001048858,0.0023773038,0.01893265,0.2689661],"genre_scores_gemma":[0.057198856,0.11190075,0.3881086,0.008946161,0.039008126,0.0026659027,0.008110481,0.0056002443,0.37846088],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879175,0.0002459023,0.00013641528,0.00011277044,0.0006274785,0.00008569187],"domain_scores_gemma":[0.99859864,0.0004333833,0.000078634854,0.00037382575,0.0003354087,0.00017995543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010088754,0.0009988667,0.001095354,0.0011386609,0.001153647,0.003908843,0.0015227963,0.0017449652,0.05509554],"category_scores_gemma":[0.0034087806,0.00064234197,0.0006236667,0.001839882,0.0010470768,0.0040473393,0.0032694284,0.0036842662,0.040287986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055977707,0.000044694745,0.00019781671,0.00094822655,0.00004652219,0.000192526,0.0002467124,0.0011482536,0.0048504244,0.3221876,0.45784256,0.21223867],"study_design_scores_gemma":[0.000014033792,0.000026078427,0.00009245632,0.00009083041,0.000008633081,0.00017636722,0.000023665327,0.0015425781,0.0007106335,0.04419512,0.95310557,0.000014068041],"about_ca_topic_score_codex":0.00029469572,"about_ca_topic_score_gemma":0.00040599794,"teacher_disagreement_score":0.05509554,"about_ca_system_score_codex":0.00060329237,"about_ca_system_score_gemma":0.0010333472,"threshold_uncertainty_score":0.18431294},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.02542739159725563,"score_gpt":0.2232037806012979,"score_spread":0.19777638900404226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994402203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20804399,0.00032464613,0.7569187,0.0002082665,0.000115403745,0.00036930924,0.0003944357,0.029608756,0.004016508],"genre_scores_gemma":[0.7151754,0.00012532315,0.28202313,0.00009876263,0.000021178193,0.0001289264,0.00036554117,0.0005275215,0.0015342977],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990087,0.0001368797,0.00006643151,0.00015618502,0.0005524467,0.00007934419],"domain_scores_gemma":[0.99765766,0.0008729147,0.0003985043,0.0004983057,0.0004937395,0.000078833116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078953337,0.0007177842,0.00037885434,0.00093675347,0.00035939502,0.00060611207,0.00095443113,0.00042434264,0.0024446435],"category_scores_gemma":[0.0034354338,0.000375176,0.0002694802,0.0005680077,0.00039367858,0.0009320954,0.0006196458,0.00052848493,0.00046377364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057301484,0.0003401096,0.015505423,0.00028227098,0.000051907602,0.00026755378,0.00034251114,0.092121124,0.24846394,0.003105788,0.006361142,0.6325852],"study_design_scores_gemma":[0.00005688595,0.0006374698,0.008192859,0.000024551142,0.000033999524,0.0004093032,0.000102619066,0.6750944,0.30309063,0.0037502022,0.008529395,0.00007769606],"about_ca_topic_score_codex":0.0015173452,"about_ca_topic_score_gemma":0.0028698687,"teacher_disagreement_score":0.0024446435,"about_ca_system_score_codex":0.00069701904,"about_ca_system_score_gemma":0.00098989,"threshold_uncertainty_score":0.0081781745},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.014236347693764159,"score_gpt":0.22319371360502074,"score_spread":0.20895736591125658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004979375","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014880182,0.024906978,0.0021141544,0.6707892,0.096775696,0.00006575238,0.00042890146,0.0007044893,0.20272681],"genre_scores_gemma":[0.017361222,0.012645486,0.0032077294,0.15027066,0.016613444,0.000073963856,0.00033843832,0.00062627037,0.79886276],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981285,0.00047963916,0.000060561713,0.0003654403,0.0005988633,0.0003670251],"domain_scores_gemma":[0.99521554,0.0007531483,0.00014228663,0.0005336958,0.0013274144,0.002027897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032290125,0.0010698747,0.00091964874,0.0013451813,0.0068441797,0.0127181625,0.0014244879,0.0058786967,0.19772626],"category_scores_gemma":[0.012567019,0.000500883,0.0009073975,0.0008817036,0.0049020434,0.015700856,0.008107158,0.012297329,0.07954341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028501678,0.000023078832,0.0001256322,0.0000416297,0.0000040708132,0.000066448934,0.00025105802,0.000029489742,0.00016096178,0.036384687,0.9376597,0.02522486],"study_design_scores_gemma":[0.000004439089,0.00000932868,0.000089440226,0.000077672856,0.0000012847104,0.000038540835,0.0005082258,0.000023334549,0.000048386977,0.0104157915,0.9887772,0.0000062748168],"about_ca_topic_score_codex":0.005102011,"about_ca_topic_score_gemma":0.011663593,"teacher_disagreement_score":0.19772626,"about_ca_system_score_codex":0.004174183,"about_ca_system_score_gemma":0.0051161847,"threshold_uncertainty_score":0.6614603},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.018660552259854083,"score_gpt":0.2529427535631042,"score_spread":0.23428220130325011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014039063","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22293654,0.0067366487,0.6854859,0.0014379873,0.0015999738,0.00037426254,0.0012365438,0.050033636,0.03015844],"genre_scores_gemma":[0.72570515,0.0010377741,0.25155833,0.00076165516,0.00025637288,0.00026211017,0.0016518111,0.0015908531,0.017175999],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995448,0.00006373422,0.000046346893,0.00008334449,0.00018109602,0.00008062686],"domain_scores_gemma":[0.998877,0.00016985001,0.00008266248,0.0005348257,0.00019770424,0.00013799047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038231196,0.0005970491,0.00049850333,0.000492317,0.00042781228,0.0014347128,0.003107272,0.0006101659,0.005916866],"category_scores_gemma":[0.0015657932,0.00038834402,0.00028175698,0.0009457939,0.0006529833,0.002042829,0.001514426,0.0012651737,0.0010220581],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033708122,0.0004240514,0.007736069,0.00096335803,0.00024239428,0.00072205806,0.0005065927,0.027321374,0.16827752,0.05765849,0.09999996,0.63277733],"study_design_scores_gemma":[0.0007447611,0.0019190831,0.0030509715,0.0001315535,0.00019563804,0.0015548696,0.00030990157,0.53370696,0.21911268,0.03535489,0.20368928,0.00022946797],"about_ca_topic_score_codex":0.0008577564,"about_ca_topic_score_gemma":0.0014326109,"teacher_disagreement_score":0.005916866,"about_ca_system_score_codex":0.00047537623,"about_ca_system_score_gemma":0.00066347374,"threshold_uncertainty_score":0.019793868},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.016239821527117473,"score_gpt":0.24783872814414148,"score_spread":0.231598906617024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025922761","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003717171,0.00008207672,0.98774755,0.00012808488,0.000054353648,0.000113102025,0.00007429235,0.0039277757,0.004155578],"genre_scores_gemma":[0.096523575,0.00021008389,0.8959282,0.00021981001,0.00005214387,0.00021287556,0.0003415313,0.00091067667,0.0056010834],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989047,0.00012794326,0.00007642931,0.00018696462,0.00058992865,0.000114030285],"domain_scores_gemma":[0.9971487,0.00049480685,0.00015765516,0.0007489927,0.0013665236,0.00008333824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008909527,0.0011396252,0.0006395978,0.0012866319,0.00073830684,0.002423723,0.002498391,0.00047345043,0.0047733234],"category_scores_gemma":[0.0043912837,0.001152526,0.0007664655,0.0010967096,0.00069393666,0.0021569477,0.0008846595,0.002820103,0.002319034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023280294,0.00017221975,0.004247142,0.00046964877,0.00014485174,0.00028965337,0.0005156406,0.19208637,0.08002882,0.10362329,0.015970016,0.6022195],"study_design_scores_gemma":[0.00003736467,0.00020876704,0.0009334436,0.000055105138,0.00018384645,0.0003287251,0.00009324208,0.8053456,0.10574153,0.028485553,0.05849565,0.00009111254],"about_ca_topic_score_codex":0.004777988,"about_ca_topic_score_gemma":0.007813297,"teacher_disagreement_score":0.004777988,"about_ca_system_score_codex":0.0013245385,"about_ca_system_score_gemma":0.0029086513,"threshold_uncertainty_score":0.015968323},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.017083847244708256,"score_gpt":0.2612078740135595,"score_spread":0.24412402676885123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031043969","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15301554,0.018656595,0.7162085,0.004171038,0.0011566912,0.00019809199,0.0009808337,0.014293394,0.09131926],"genre_scores_gemma":[0.8164646,0.0024893482,0.16003053,0.00095902337,0.00022484089,0.00027861807,0.00095636287,0.0011422023,0.01745441],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995571,0.00010070603,0.00002327081,0.000046508987,0.0002105309,0.000061894956],"domain_scores_gemma":[0.9992107,0.00021139291,0.000048549242,0.00022211942,0.00026147513,0.00004563155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041066433,0.0002698283,0.0002545148,0.000473295,0.00068881747,0.0011517182,0.00083635014,0.00048428745,0.0029442932],"category_scores_gemma":[0.0023349081,0.0002167969,0.00023037709,0.0009214012,0.00038149607,0.0010802303,0.0009037684,0.0010346875,0.00046596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067237916,0.00016470134,0.0064078253,0.0006852854,0.00016564947,0.00040368247,0.0006692566,0.10005651,0.046164837,0.39673048,0.10598938,0.34188998],"study_design_scores_gemma":[0.00019039755,0.00028019663,0.0019647093,0.00014369233,0.000095989955,0.00037702333,0.00018047272,0.6641876,0.028043691,0.12697306,0.17750275,0.00006043765],"about_ca_topic_score_codex":0.0049670646,"about_ca_topic_score_gemma":0.010823384,"teacher_disagreement_score":0.0049670646,"about_ca_system_score_codex":0.0009757678,"about_ca_system_score_gemma":0.0012788343,"threshold_uncertainty_score":0.009876311},"labels":[],"label_agreement":null},{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; 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","score_opus":0.0071365872295788895,"score_gpt":0.20499021825034394,"score_spread":0.19785363102076506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032204694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062135343,0.017313635,0.7980546,0.0036236357,0.0027421613,0.00040926895,0.0018516266,0.014466687,0.099403106],"genre_scores_gemma":[0.7295089,0.0065083,0.20016345,0.0020273528,0.0013263839,0.00042124945,0.0023743499,0.0010226385,0.05664738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984958,0.00022815655,0.00017158699,0.00023712608,0.0006416976,0.00022556017],"domain_scores_gemma":[0.99509156,0.00083174836,0.00026635814,0.0023828275,0.0011270572,0.000300489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010902632,0.00060545275,0.0006266706,0.00053658313,0.0009933903,0.0034891411,0.0028371923,0.0010261955,0.013295252],"category_scores_gemma":[0.0056493236,0.0003947957,0.00045687734,0.0011858761,0.0011365457,0.006536976,0.0028448743,0.0014549529,0.0055384594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014991782,0.000196693,0.0026227548,0.0013722025,0.00010854591,0.0010468182,0.00042485812,0.014738012,0.06705068,0.4388656,0.055306196,0.41676843],"study_design_scores_gemma":[0.00016408754,0.00049388816,0.0011392202,0.00047643343,0.00013868092,0.002473968,0.00021604616,0.092405304,0.09751308,0.34329492,0.4615348,0.00014962284],"about_ca_topic_score_codex":0.00045150923,"about_ca_topic_score_gemma":0.0003458292,"teacher_disagreement_score":0.013295252,"about_ca_system_score_codex":0.00054781884,"about_ca_system_score_gemma":0.0011726521,"threshold_uncertainty_score":0.044477105},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.017647398656046087,"score_gpt":0.34141328901407125,"score_spread":0.32376589035802517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032482282","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030440282,0.019185314,0.14529786,0.09667227,0.031940017,0.0003357389,0.012397157,0.051077705,0.6126536],"genre_scores_gemma":[0.14221428,0.0146775,0.07749979,0.031862523,0.011447508,0.00033175532,0.0172998,0.020483604,0.68418324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981895,0.00031829727,0.00012801147,0.0002869834,0.0009016922,0.0001754475],"domain_scores_gemma":[0.98394656,0.0036816532,0.0009163298,0.0025577217,0.0073757567,0.0015219492],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0020321335,0.0006556491,0.00040481667,0.0037451787,0.0030510125,0.006862182,0.000986944,0.0017031619,0.03936502],"category_scores_gemma":[0.025704576,0.00058059837,0.0003455741,0.003378794,0.0015069993,0.014397127,0.0056143235,0.002584341,0.04518993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009286209,0.000034986595,0.0013987927,0.00034736766,0.000029328063,0.00016057651,0.00091007375,0.00046317274,0.0014966131,0.038409416,0.7326478,0.224009],"study_design_scores_gemma":[0.000009141252,0.000021289203,0.0006404431,0.00016362594,0.000010920829,0.00011582828,0.00026696696,0.0006252327,0.0007552423,0.014899783,0.98245597,0.000035645364],"about_ca_topic_score_codex":0.0075935954,"about_ca_topic_score_gemma":0.017146716,"teacher_disagreement_score":0.99313784,"about_ca_system_score_codex":0.00071639486,"about_ca_system_score_gemma":0.0021386275,"threshold_uncertainty_score":0.13168913},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.016265715140836492,"score_gpt":0.2725921783291053,"score_spread":0.25632646318826885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038398651","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005611928,0.01270814,0.030320019,0.57768255,0.03840549,0.00028045237,0.0008126519,0.0037581448,0.33042064],"genre_scores_gemma":[0.07840203,0.01054176,0.042685572,0.281844,0.01706361,0.0005718189,0.00095958915,0.004476216,0.5634554],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956631,0.0011565207,0.000148531,0.000568559,0.0021523922,0.00031094902],"domain_scores_gemma":[0.98454016,0.0046167746,0.0005326648,0.0040712,0.002765513,0.0034737587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004349903,0.0010159177,0.00091491267,0.0012559372,0.0035144514,0.009245824,0.0016929553,0.004306297,0.15968066],"category_scores_gemma":[0.031944197,0.0005282699,0.0008312632,0.0007178402,0.006903185,0.019520937,0.008096606,0.012826713,0.07609093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009661157,0.00010965267,0.00024224509,0.00034708064,0.000025880167,0.00025323086,0.0011084925,0.00016081067,0.0009734661,0.07591932,0.82239956,0.0983636],"study_design_scores_gemma":[0.00002168864,0.000046114958,0.00031500607,0.00027630426,0.000009065509,0.0002959981,0.0013440052,0.00009639013,0.0002168466,0.044565264,0.95279175,0.000021576536],"about_ca_topic_score_codex":0.0018206458,"about_ca_topic_score_gemma":0.002858878,"teacher_disagreement_score":0.15968066,"about_ca_system_score_codex":0.0022928843,"about_ca_system_score_gemma":0.002863476,"threshold_uncertainty_score":0.53418505},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; 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","score_opus":0.006781309725933197,"score_gpt":0.22123242505767085,"score_spread":0.21445111533173766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039296153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040284637,0.011977432,0.813473,0.0029030158,0.0011214432,0.0005162618,0.0015420044,0.0334391,0.09474323],"genre_scores_gemma":[0.3650475,0.010091405,0.4897278,0.0025703346,0.000738259,0.00076950295,0.0046872166,0.0040956386,0.122272365],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99826366,0.00018271475,0.0001442278,0.00022527129,0.0008797592,0.0003043369],"domain_scores_gemma":[0.9987204,0.0001613039,0.00008766395,0.00045041763,0.0004380235,0.00014229442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019330215,0.00059594953,0.00061848166,0.0010199259,0.00082648563,0.0056642387,0.004466187,0.00090397283,0.006519608],"category_scores_gemma":[0.0032641725,0.0007670866,0.0006059833,0.0011505756,0.0010555866,0.0057902816,0.002656092,0.002115196,0.0026364983],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010675713,0.00013734934,0.0018957421,0.0008054491,0.00011769476,0.00031416398,0.0006417856,0.019319447,0.025301874,0.43666267,0.053092092,0.4606441],"study_design_scores_gemma":[0.00020026854,0.00052601675,0.00090830127,0.0003999765,0.00022295507,0.00078557804,0.00036396433,0.12289317,0.0385357,0.12571788,0.70927095,0.00017519365],"about_ca_topic_score_codex":0.0048188246,"about_ca_topic_score_gemma":0.0032397534,"teacher_disagreement_score":0.006519608,"about_ca_system_score_codex":0.0013091604,"about_ca_system_score_gemma":0.0032155793,"threshold_uncertainty_score":0.021810293},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Field-programmable gate array; Computer science; Embedded system; Compiler; Interconnection; Reconfigurable computing; Computer architecture; Interface (matter); System on a chip; Computer hardware; Parallel computing; Operating system; Computer network","score_opus":0.01603753696633828,"score_gpt":0.2480177592848653,"score_spread":0.23198022231852702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046105216","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01220387,0.05562327,0.107133366,0.28406423,0.018592589,0.0001285013,0.00025306075,0.0009219733,0.52107924],"genre_scores_gemma":[0.40014258,0.08645791,0.12479764,0.07732469,0.015627813,0.0004721668,0.0003314877,0.00048678904,0.29435894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878556,0.00030291633,0.000037497626,0.00019965394,0.0005213415,0.00015294543],"domain_scores_gemma":[0.9981881,0.00073553866,0.000121514495,0.00040174832,0.0003770065,0.00017621087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001521586,0.00035899255,0.0003071012,0.0003510217,0.0011294704,0.0029637292,0.0011100301,0.0043617855,0.014142058],"category_scores_gemma":[0.0041896203,0.00027885844,0.0003081594,0.00044420717,0.0017939722,0.006999601,0.0015597214,0.0046733087,0.004720336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005043868,0.000037431546,0.0006362881,0.00036245096,0.000018284902,0.0013683805,0.00023139169,0.0018039538,0.0024123746,0.7913371,0.11498754,0.08675439],"study_design_scores_gemma":[0.000013336384,0.00003381422,0.00032558243,0.0002591095,0.000009672316,0.001369841,0.00022950927,0.0031365335,0.0008077347,0.12927666,0.86451805,0.00002017003],"about_ca_topic_score_codex":0.0014154089,"about_ca_topic_score_gemma":0.0024305983,"teacher_disagreement_score":0.014142058,"about_ca_system_score_codex":0.00082089374,"about_ca_system_score_gemma":0.000762263,"threshold_uncertainty_score":0.047309935},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04634996544834779,"score_gpt":0.3359082008276234,"score_spread":0.2895582353792756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048849600","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37204495,0.0020722544,0.5663077,0.0036754769,0.00062469137,0.00016968946,0.0002594985,0.0077290596,0.04711664],"genre_scores_gemma":[0.9053565,0.0005437663,0.08655621,0.00040376,0.00017662668,0.000080735364,0.00016804389,0.0001843077,0.006530036],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934477,0.00010766228,0.000038000864,0.00013129873,0.0002476163,0.00013057824],"domain_scores_gemma":[0.9975842,0.0005866561,0.00017940269,0.0010667038,0.00050985947,0.0000731109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056552165,0.00040779306,0.0003378657,0.00039309994,0.00061607285,0.0009146673,0.0012410264,0.00076204987,0.0046539125],"category_scores_gemma":[0.004011901,0.00044685643,0.0001554373,0.00095806905,0.0008458614,0.002573355,0.0014898557,0.0011900471,0.001635015],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019803438,0.00050385884,0.0073241536,0.00046160555,0.00007656704,0.0009013782,0.00055838993,0.11322682,0.22609892,0.19394621,0.035381306,0.41954044],"study_design_scores_gemma":[0.00046966976,0.00074511964,0.0020867973,0.00011042342,0.00013908598,0.0007818847,0.00030356785,0.6504268,0.16466522,0.107404165,0.072783165,0.000084093794],"about_ca_topic_score_codex":0.0010893507,"about_ca_topic_score_gemma":0.0028795758,"teacher_disagreement_score":0.0046539125,"about_ca_system_score_codex":0.00051579933,"about_ca_system_score_gemma":0.0014291805,"threshold_uncertainty_score":0.015568852},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.008786116772330798,"score_gpt":0.20723345143195407,"score_spread":0.19844733465962328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049114603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031077297,0.020640532,0.91681373,0.0017351462,0.00027361079,0.000061834,0.0002501625,0.0005829175,0.028564759],"genre_scores_gemma":[0.79178333,0.038210504,0.12875737,0.00071349565,0.0006961658,0.00044218887,0.00035588624,0.0005658686,0.038475182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975306,0.00007209759,0.000012995159,0.000029708226,0.00011011712,0.000021999052],"domain_scores_gemma":[0.9998305,0.00009089773,0.000021334867,0.000019952486,0.000032133437,0.000005144916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003488882,0.00062381977,0.0004427103,0.0005837774,0.0003841329,0.0007239004,0.0008559679,0.0008627076,0.0009125798],"category_scores_gemma":[0.0010405217,0.00049905485,0.0004993813,0.0007154932,0.0005246281,0.001627949,0.0004105297,0.0006722346,0.0006784678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014412775,0.000021678974,0.0002898433,0.00009822582,0.000011561865,0.00010537097,0.00006125987,0.9165256,0.004115206,0.055520672,0.0016219824,0.021614093],"study_design_scores_gemma":[0.0000031511374,0.000027659557,0.0002585789,0.000019351348,0.0000079999145,0.000052210486,0.000017793192,0.9583219,0.0011133283,0.03255642,0.0076100933,0.000011421402],"about_ca_topic_score_codex":0.0036934528,"about_ca_topic_score_gemma":0.0022540735,"teacher_disagreement_score":0.0036934528,"about_ca_system_score_codex":0.00064631447,"about_ca_system_score_gemma":0.00049264304,"threshold_uncertainty_score":0.007343948},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer architecture; Architecture; Compiler; Dataflow architecture; Exploit; Synchronizing; Space-based architecture; Reference architecture; Parallel computing; Programming language; Dataflow; Software architecture; Software","score_opus":0.017767866733695743,"score_gpt":0.282713120694547,"score_spread":0.2649452539608513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050432237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09793956,0.0012789762,0.8564777,0.0012145222,0.00034801042,0.00021564229,0.0005115112,0.0065430054,0.03547115],"genre_scores_gemma":[0.43069237,0.0006901063,0.55460525,0.00043689102,0.000109918794,0.00020111645,0.0007540299,0.00032906854,0.012181343],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998118,0.000018195076,0.000011939657,0.000028269566,0.00009627307,0.000033514414],"domain_scores_gemma":[0.99981266,0.000016115715,0.000013263381,0.00004684802,0.000077901794,0.000033185137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001495247,0.00022798308,0.00018859109,0.0003859867,0.00042241946,0.0006154044,0.00097177003,0.00033483325,0.0048822816],"category_scores_gemma":[0.00045885541,0.00016206018,0.00038782018,0.00038549522,0.00020082599,0.0008285847,0.00064918975,0.0007599841,0.0014938861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003831644,0.00013811821,0.0016687883,0.00040341294,0.00009816547,0.00039351246,0.00017540788,0.04408208,0.43428144,0.097370185,0.027260872,0.39374498],"study_design_scores_gemma":[0.00014869754,0.00073227694,0.002311187,0.00009811039,0.00013612889,0.0007051025,0.00007556271,0.52229774,0.22973156,0.02820946,0.21544972,0.00010448259],"about_ca_topic_score_codex":0.0024313396,"about_ca_topic_score_gemma":0.0046389275,"teacher_disagreement_score":0.0048822816,"about_ca_system_score_codex":0.0006168522,"about_ca_system_score_gemma":0.00076476776,"threshold_uncertainty_score":0.016332865},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Network topology; 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","score_opus":0.007868991099934126,"score_gpt":0.21532081909607073,"score_spread":0.2074518279961366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050594874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28094834,0.005989597,0.6276114,0.0033848195,0.0005851682,0.00014835248,0.00038419644,0.0028391508,0.078109],"genre_scores_gemma":[0.81428224,0.002157502,0.1693432,0.00031624013,0.0001181304,0.00009387625,0.00023787856,0.000085993684,0.01336492],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999892,0.000018143028,0.0000050771764,0.000017497703,0.00005141296,0.000015894233],"domain_scores_gemma":[0.9997949,0.00005913112,0.000034747736,0.000039597344,0.000053915854,0.000017718996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020040997,0.00026178965,0.00012028183,0.00030227492,0.0005451706,0.00087145536,0.00042120894,0.00030109507,0.002425445],"category_scores_gemma":[0.00045007656,0.00011821147,0.00010959048,0.00040424903,0.00028204778,0.0011570024,0.00037940263,0.0003849099,0.00024581625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022301282,0.00019624058,0.002412161,0.00043731756,0.000044644217,0.00040405706,0.00023843732,0.14156535,0.24771535,0.28558758,0.019074913,0.30210102],"study_design_scores_gemma":[0.000049372098,0.00071269885,0.0035795283,0.000094554314,0.000059514376,0.0007714999,0.0003340876,0.62095696,0.118585974,0.10229859,0.15247285,0.000084430234],"about_ca_topic_score_codex":0.0011885552,"about_ca_topic_score_gemma":0.0045774044,"teacher_disagreement_score":0.002425445,"about_ca_system_score_codex":0.00075749966,"about_ca_system_score_gemma":0.00053446,"threshold_uncertainty_score":0.008113861},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Computer architecture; Operating system; Parallel computing; Embedded system","score_opus":0.01717269831045461,"score_gpt":0.22929087786654384,"score_spread":0.21211817955608922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058147415","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027622634,0.05279184,0.028274035,0.009943878,0.25607407,0.00045959948,0.0022168164,0.0087373005,0.6387401],"genre_scores_gemma":[0.004451778,0.014012309,0.0027113112,0.0029578647,0.022853473,0.00011710864,0.001139009,0.0016350582,0.9501221],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984133,0.000083207284,0.000066973225,0.00019627651,0.0010730821,0.00016704957],"domain_scores_gemma":[0.9974809,0.00035878908,0.00011168697,0.00021070661,0.0014395977,0.00039828196],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010025568,0.0013015944,0.0010390284,0.0024315314,0.0013245455,0.005419004,0.0019039704,0.0019783615,0.33161062],"category_scores_gemma":[0.0022861864,0.0008292759,0.0007774571,0.0016190876,0.0005288198,0.0025738592,0.0017991312,0.0022727167,0.2212281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052298226,0.00003530275,0.000088005276,0.00028484818,0.000013945534,0.000077854595,0.00003111042,0.00012919639,0.004897402,0.002938545,0.89115477,0.10029672],"study_design_scores_gemma":[0.0000042220036,0.000039370498,0.000169325,0.00006365773,0.000008275407,0.000106857246,0.000018467104,0.00012306233,0.0018538121,0.00064188807,0.99696004,0.000011098256],"about_ca_topic_score_codex":0.0005102314,"about_ca_topic_score_gemma":0.0016054215,"teacher_disagreement_score":0.33161062,"about_ca_system_score_codex":0.000846928,"about_ca_system_score_gemma":0.0010630438,"threshold_uncertainty_score":0.95337635},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.012815839366145419,"score_gpt":0.2579019351073922,"score_spread":0.24508609574124676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058552672","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061216243,0.012089213,0.004159079,0.3238512,0.027362837,0.00003737184,0.00034312648,0.00040464607,0.6256309],"genre_scores_gemma":[0.10210857,0.013185573,0.0028356435,0.09656602,0.0073102964,0.00006248478,0.00038136254,0.0005812626,0.7769687],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983565,0.0005086548,0.000048493817,0.00016373018,0.0005914521,0.00033111582],"domain_scores_gemma":[0.9981342,0.00032124645,0.000098869605,0.00025532424,0.0003837988,0.0008064937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015943623,0.00039960982,0.00033362847,0.00066212576,0.0047138412,0.007814784,0.00058019045,0.0022700583,0.09308711],"category_scores_gemma":[0.0059545594,0.00022681056,0.00027829138,0.00087436975,0.0034151122,0.007084649,0.0039034474,0.0071190894,0.029912006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034422177,0.000031044623,0.00036657503,0.000051930594,0.000005103515,0.000072896204,0.0011057717,0.000055275195,0.00031191032,0.28702143,0.6678141,0.043129627],"study_design_scores_gemma":[0.000001502739,0.000008100297,0.00016888163,0.000031465253,6.900575e-7,0.000042694217,0.0005527493,0.00001053544,0.000028809915,0.0068988455,0.9922531,0.0000025665927],"about_ca_topic_score_codex":0.0037646107,"about_ca_topic_score_gemma":0.006558875,"teacher_disagreement_score":0.09308711,"about_ca_system_score_codex":0.0022593355,"about_ca_system_score_gemma":0.0019122744,"threshold_uncertainty_score":0.3114074},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Embedded system; x86; Central processing unit; Multi-core processor; Computer hardware; Chip; Efficient energy use; Operating system; Software; Electrical engineering; Telecommunications; Engineering","score_opus":0.03830314710420459,"score_gpt":0.2811050205506671,"score_spread":0.2428018734464625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075843361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0705605,0.009788421,0.40471175,0.0021546646,0.002086732,0.0014681966,0.0045751138,0.11893854,0.385716],"genre_scores_gemma":[0.450341,0.0024802445,0.33173135,0.0018957502,0.0002453043,0.0015115081,0.010973186,0.0058998205,0.19492184],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99928445,0.00008301789,0.000030555373,0.0000956542,0.00037494037,0.00013139276],"domain_scores_gemma":[0.999527,0.000036310485,0.00004099531,0.000066434666,0.00022066552,0.00010862371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040010636,0.00077833707,0.00063777727,0.0006874052,0.00061263196,0.0013837505,0.001972839,0.00049674493,0.032093123],"category_scores_gemma":[0.0011609675,0.00045297298,0.00025874865,0.00091263064,0.00030020592,0.0010408994,0.0014896642,0.0013026313,0.009349171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018208947,0.00032030925,0.0021630065,0.00073347,0.00012981887,0.0004869348,0.00028660742,0.015320733,0.06599533,0.033017486,0.51140076,0.3683247],"study_design_scores_gemma":[0.00061295653,0.00080788817,0.0023129426,0.000126245,0.00010038057,0.0007781034,0.00007962498,0.16524598,0.043454587,0.008504176,0.7777767,0.00020040908],"about_ca_topic_score_codex":0.003840606,"about_ca_topic_score_gemma":0.0055913115,"teacher_disagreement_score":0.032093123,"about_ca_system_score_codex":0.0012159523,"about_ca_system_score_gemma":0.0027343233,"threshold_uncertainty_score":0.10736227},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.01747882429169115,"score_gpt":0.22981836177494114,"score_spread":0.21233953748325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083474035","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059213027,0.007909461,0.12445684,0.004048251,0.001437191,0.0005581815,0.002033213,0.055771656,0.7445722],"genre_scores_gemma":[0.29687923,0.0026672217,0.07997641,0.0019003265,0.0004937171,0.0005509422,0.006121744,0.001497602,0.6099129],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963105,0.0000300032,0.000016366559,0.000079011275,0.0001781253,0.000065384185],"domain_scores_gemma":[0.9997137,0.000014742878,0.000018343819,0.00004784023,0.00016573863,0.00003954258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025531393,0.00048665467,0.00033146408,0.0009215491,0.0007762445,0.00094762945,0.00119258,0.00069349277,0.062306944],"category_scores_gemma":[0.00066786865,0.0003466825,0.000204817,0.0007556493,0.0002027125,0.0012439224,0.0007393845,0.0007006824,0.026521455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077357853,0.00017137262,0.0019016904,0.0002460429,0.000040568193,0.000389638,0.00040946875,0.0021995795,0.04383196,0.033524428,0.53887993,0.37763166],"study_design_scores_gemma":[0.00013660034,0.0003709105,0.0025617878,0.00007158257,0.00003624858,0.0007009085,0.00005777732,0.017611064,0.013853775,0.0049318764,0.9596044,0.0000631852],"about_ca_topic_score_codex":0.0039397595,"about_ca_topic_score_gemma":0.0069296183,"teacher_disagreement_score":0.062306944,"about_ca_system_score_codex":0.0009225515,"about_ca_system_score_gemma":0.0009685244,"threshold_uncertainty_score":0.2084375},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.18433665693856102,"score_gpt":0.2745142730058895,"score_spread":0.09017761606732846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087303512","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041034142,0.0031964402,0.0025426163,0.48227575,0.017346725,0.00013509588,0.00092636654,0.0012523535,0.48822126],"genre_scores_gemma":[0.040020607,0.0021323678,0.0035752712,0.3697755,0.0072066593,0.00021605076,0.00043271243,0.0007468515,0.575894],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.985628,0.0009466617,0.00064208393,0.001324302,0.00946979,0.0019890843],"domain_scores_gemma":[0.9826249,0.0063946526,0.00069854606,0.0013004304,0.007964214,0.0010172446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066540446,0.0006439586,0.0013073618,0.001937954,0.010763944,0.01970829,0.0022485391,0.024727706,0.040264726],"category_scores_gemma":[0.032411687,0.0010800163,0.0018186044,0.0017595943,0.0035833914,0.0048739393,0.002098867,0.020547226,0.02710303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002960144,0.000053891654,0.0004328615,0.00003937289,0.000013711235,0.00016242225,0.00014660842,0.00008105201,0.0002737656,0.05923477,0.92297757,0.016554475],"study_design_scores_gemma":[0.000021251759,0.000028723975,0.00089813845,0.00008389969,0.000027882821,0.00008559723,0.00020062618,0.00014405788,0.00062240387,0.005534337,0.9923074,0.000045625085],"about_ca_topic_score_codex":0.052407764,"about_ca_topic_score_gemma":0.10260969,"teacher_disagreement_score":0.052407764,"about_ca_system_score_codex":0.0072532813,"about_ca_system_score_gemma":0.014327013,"threshold_uncertainty_score":0.13469893},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"","keywords":"Computer science; Doors; Human–computer interaction; Ubiquitous computing; Interface (matter); Perception; Multimedia; Information technology","score_opus":0.02584003598022747,"score_gpt":0.24197427126242751,"score_spread":0.21613423528220005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135960549","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04811633,0.0414292,0.53004426,0.02533434,0.0048965216,0.00042991797,0.00030512334,0.009608355,0.33983585],"genre_scores_gemma":[0.405651,0.032830298,0.35875976,0.010490389,0.0023915723,0.0005259583,0.00071365834,0.0017752753,0.1868621],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834466,0.0006111444,0.000060268623,0.00025650722,0.0005066198,0.0002208834],"domain_scores_gemma":[0.9986915,0.00031992575,0.000054538395,0.00030235073,0.00026547883,0.0003661936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017359465,0.00063657,0.00033259316,0.0006088707,0.0010287762,0.0050309147,0.0016811931,0.0022991137,0.015834315],"category_scores_gemma":[0.0035663366,0.0003723939,0.00044767928,0.0007998804,0.0021190473,0.011177915,0.00515699,0.00243466,0.006253998],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107281536,0.000098316465,0.0011981585,0.0007130802,0.00002789618,0.00033646973,0.003377127,0.0013343721,0.009679551,0.44010428,0.055801947,0.48722157],"study_design_scores_gemma":[0.000018742316,0.00010916674,0.000780232,0.00026167845,0.000018360868,0.00048603394,0.0016944518,0.0026080308,0.003399057,0.08707119,0.90352285,0.000030277495],"about_ca_topic_score_codex":0.0010412545,"about_ca_topic_score_gemma":0.0010240137,"teacher_disagreement_score":0.015834315,"about_ca_system_score_codex":0.00055574236,"about_ca_system_score_gemma":0.0010591006,"threshold_uncertainty_score":0.052971005},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.025758427478601974,"score_gpt":0.262128859637374,"score_spread":0.23637043215877201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339666327","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62634766,0.00635541,0.19118287,0.0025687462,0.0010361539,0.00040907014,0.0008886815,0.011223557,0.1599878],"genre_scores_gemma":[0.8271998,0.0009225096,0.1250238,0.0002944338,0.000071617804,0.00021579728,0.00093270716,0.00037402532,0.04496534],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99979454,0.000022570186,0.000005433727,0.000029627941,0.000103302365,0.00004443988],"domain_scores_gemma":[0.9998673,0.000017045377,0.000009342456,0.000012901826,0.000074475145,0.000018953335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021124589,0.00035020296,0.00033697128,0.00025920273,0.00032856484,0.0005662795,0.00079610955,0.000257269,0.007452569],"category_scores_gemma":[0.00056279893,0.00014821053,0.00017897761,0.0004672434,0.00015241404,0.0005183198,0.00032896793,0.0006632218,0.0012650978],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029658794,0.00046266196,0.0032269242,0.0004450646,0.000080238584,0.00074145786,0.00042921945,0.08644456,0.28121334,0.033418752,0.16597137,0.42460045],"study_design_scores_gemma":[0.0006397195,0.0022879138,0.005899491,0.000082641745,0.00006741446,0.00040003523,0.00016610953,0.64252543,0.13063045,0.005115243,0.21209894,0.000086534565],"about_ca_topic_score_codex":0.0052365437,"about_ca_topic_score_gemma":0.013497685,"teacher_disagreement_score":0.007452569,"about_ca_system_score_codex":0.00085376255,"about_ca_system_score_gemma":0.0012625392,"threshold_uncertainty_score":0.024931371},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Session (web analytics); Subject (documents); Set (abstract data type); Instruction set; Position paper; Architecture; Computer architecture; World Wide Web; Multimedia; Software engineering; Programming language","score_opus":0.031178037782385166,"score_gpt":0.2713085436444981,"score_spread":0.2401305058621129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515096075","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12254519,0.021059165,0.044013318,0.23155135,0.010109686,0.00010904599,0.00062099926,0.0003521745,0.5696391],"genre_scores_gemma":[0.9120627,0.0075429925,0.0073665413,0.030853633,0.005162381,0.00015631811,0.000275598,0.0002504951,0.036329232],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98973036,0.003052929,0.00052910775,0.00089177076,0.0049252394,0.00087053946],"domain_scores_gemma":[0.9653638,0.025854178,0.0018562205,0.002027738,0.0040951762,0.0008028361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008782126,0.0003246732,0.00037792386,0.001133967,0.0022087335,0.006377896,0.0013222194,0.003622799,0.01576774],"category_scores_gemma":[0.042733718,0.00023532916,0.00034033784,0.0016005336,0.0053293887,0.012186175,0.0035471877,0.004511484,0.0017981259],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025220832,0.00004865359,0.001831719,0.0002753156,0.000017038346,0.00009667842,0.002246842,0.00051582826,0.001449933,0.8450992,0.037966553,0.110199966],"study_design_scores_gemma":[0.000096736105,0.00026214097,0.0041653463,0.0013410076,0.000082115694,0.00037065343,0.0074847173,0.0027859507,0.007692414,0.4549902,0.5206448,0.0000839262],"about_ca_topic_score_codex":0.001131454,"about_ca_topic_score_gemma":0.0023088676,"teacher_disagreement_score":0.01576774,"about_ca_system_score_codex":0.002764777,"about_ca_system_score_gemma":0.0017550765,"threshold_uncertainty_score":0.052748382},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.015311249793836771,"score_gpt":0.24490802500369535,"score_spread":0.22959677520985858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626965056","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4390789,0.0035133108,0.5265044,0.00091852486,0.00018532608,0.00010125125,0.0002406806,0.0029766338,0.026480878],"genre_scores_gemma":[0.9776033,0.00029103455,0.019101731,0.00007882232,0.00003572731,0.000019602285,0.000043038028,0.000080001766,0.0027467543],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998443,0.00002582365,0.000007729715,0.000029680294,0.00006777644,0.000024626863],"domain_scores_gemma":[0.99978656,0.00008171832,0.00004877493,0.00002851223,0.00004391316,0.000010673138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017851012,0.0003066723,0.00013152814,0.00028915258,0.00023612817,0.00067491084,0.00068990304,0.00024242714,0.0024838203],"category_scores_gemma":[0.00077255623,0.00015724963,0.00017152753,0.00041969153,0.00033546862,0.0011459041,0.00029181095,0.00045476912,0.000287752],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012077718,0.00024035313,0.00771422,0.00038125712,0.00008042211,0.00025357457,0.00040789135,0.18950553,0.3009211,0.07107215,0.0059296954,0.42228597],"study_design_scores_gemma":[0.0000677625,0.0012146645,0.0034950906,0.00006245349,0.00011479563,0.00037538586,0.00016260278,0.5888163,0.34161785,0.03745216,0.026566671,0.000054323078],"about_ca_topic_score_codex":0.00064987905,"about_ca_topic_score_gemma":0.0014895082,"teacher_disagreement_score":0.0024838203,"about_ca_system_score_codex":0.00040068573,"about_ca_system_score_gemma":0.00037979457,"threshold_uncertainty_score":0.0083091855},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cover (algebra); Range (aeronautics); Theoretical computer science; Programming language; Computer architecture; Computer engineering","score_opus":0.009113781485445943,"score_gpt":0.2083888003566316,"score_spread":0.19927501887118565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885429203","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076155104,0.09900335,0.5372852,0.030871881,0.10095976,0.00019337515,0.0015405548,0.0037100683,0.21882029],"genre_scores_gemma":[0.20310329,0.12055991,0.18907213,0.01260404,0.12624905,0.00038219782,0.006472575,0.00423168,0.33732513],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987256,0.00017269728,0.000085709165,0.00020351645,0.0007110525,0.00010149465],"domain_scores_gemma":[0.9979578,0.0008184981,0.00006364346,0.00037565996,0.00063634245,0.00014800794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093418924,0.0009827497,0.0011488944,0.0012696305,0.0008416934,0.003271984,0.0011079009,0.0010047288,0.028137377],"category_scores_gemma":[0.006131309,0.00040779056,0.0006467187,0.0019066128,0.00092425395,0.0040990687,0.0015763155,0.002624642,0.009062922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014409069,0.00004449348,0.00045405683,0.0005182294,0.00008170346,0.00009202934,0.000060583247,0.008700421,0.0017887142,0.1490714,0.5058562,0.33318797],"study_design_scores_gemma":[0.000020391326,0.000069180016,0.00034608354,0.00015088043,0.000034602694,0.00034081895,0.000046480003,0.034537748,0.0024885694,0.16545768,0.7964783,0.000029246297],"about_ca_topic_score_codex":0.0005973317,"about_ca_topic_score_gemma":0.0011678966,"teacher_disagreement_score":0.028137377,"about_ca_system_score_codex":0.0012661587,"about_ca_system_score_gemma":0.00088716316,"threshold_uncertainty_score":0.09412891},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.02276054028272846,"score_gpt":0.29678628881643376,"score_spread":0.2740257485337053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900224194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1208599,0.014624098,0.75382084,0.0091456985,0.00041665183,0.00017486552,0.00043727932,0.0019180063,0.09860262],"genre_scores_gemma":[0.9235371,0.006193874,0.056195438,0.00087758136,0.0004058522,0.0002006218,0.00015360747,0.00023927007,0.012196647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992673,0.00018743245,0.0000413706,0.00009128328,0.00022661232,0.00018604551],"domain_scores_gemma":[0.99803835,0.00086717505,0.00024312826,0.0003344216,0.00038663522,0.00013024446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082988135,0.00066995097,0.00041184318,0.00081513874,0.0007755388,0.0026392306,0.001105256,0.0012830275,0.005771325],"category_scores_gemma":[0.0029147894,0.00052609935,0.00046701657,0.0009026057,0.0020711669,0.0043521775,0.001110505,0.0014569924,0.0007508658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010550502,0.00006592017,0.002220184,0.0003091433,0.00005406562,0.0002321922,0.00034875344,0.17168424,0.0070946123,0.7800433,0.004258542,0.03358354],"study_design_scores_gemma":[0.000052874384,0.00034673174,0.0018789636,0.00016289984,0.000095541385,0.00037430783,0.00035441134,0.5292111,0.0056494814,0.40413707,0.057673533,0.0000630666],"about_ca_topic_score_codex":0.003867173,"about_ca_topic_score_gemma":0.0036571992,"teacher_disagreement_score":0.005771325,"about_ca_system_score_codex":0.0013962334,"about_ca_system_score_gemma":0.0014752215,"threshold_uncertainty_score":0.019307077},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Field-programmable gate array; Computer science; Cloud computing; Stack (abstract data type); Flexibility (engineering); Embedded system; Interface (matter); Abstraction layer; Abstraction; Acceleration; Computer architecture; Operating system; Software","score_opus":0.025887350286025484,"score_gpt":0.25022630903974685,"score_spread":0.22433895875372137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901123440","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13718937,0.0034950445,0.7621318,0.0030647311,0.0008742429,0.00048264815,0.00061772385,0.02149557,0.07064884],"genre_scores_gemma":[0.71517193,0.0019450567,0.25922358,0.0018988409,0.00016749998,0.0002606201,0.0011194672,0.0014958512,0.018717008],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931324,0.00008843946,0.000030209767,0.000085017906,0.00025697632,0.00022612578],"domain_scores_gemma":[0.999432,0.000058213227,0.000035983423,0.00024811423,0.000108811924,0.00011688921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063284585,0.00082142814,0.00038244828,0.00063124223,0.0007675695,0.0024808166,0.0024873044,0.00062620133,0.005117423],"category_scores_gemma":[0.0013127126,0.000563075,0.00076927355,0.0006119367,0.00082625606,0.0043197223,0.004881964,0.0021660237,0.001591441],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021283738,0.0006405929,0.011214031,0.00071911165,0.00058341835,0.0020080307,0.0013092132,0.072969355,0.07903688,0.31004876,0.08844551,0.43089673],"study_design_scores_gemma":[0.00032228278,0.0007968573,0.0045431256,0.00035032444,0.00037356373,0.0014455287,0.0008805984,0.4659321,0.061991062,0.16795868,0.2951251,0.000280729],"about_ca_topic_score_codex":0.0038263316,"about_ca_topic_score_gemma":0.0049276403,"teacher_disagreement_score":0.005117423,"about_ca_system_score_codex":0.00091827405,"about_ca_system_score_gemma":0.0015962997,"threshold_uncertainty_score":0.017119467},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; 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","score_opus":0.03420267875181875,"score_gpt":0.2520401742089486,"score_spread":0.21783749545712983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008874958","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.213345,0.0026013001,0.18931304,0.0020120132,0.0016240341,0.0007695271,0.003831199,0.028657949,0.557846],"genre_scores_gemma":[0.684743,0.00069903705,0.12085353,0.0011217525,0.00021567247,0.0004908617,0.010294881,0.00055504625,0.18102631],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99969363,0.00003031511,0.000013204067,0.00006558813,0.00014255184,0.0000546865],"domain_scores_gemma":[0.99979943,0.000015030242,0.000008936295,0.00003327622,0.00011129372,0.00003196757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002469544,0.00034275503,0.00023381168,0.00027490224,0.00027183382,0.00058292336,0.0006914905,0.00030275222,0.027283203],"category_scores_gemma":[0.00065554824,0.00019097644,0.00016034786,0.00037853324,0.00015873896,0.00054047245,0.00062481733,0.00051656243,0.005670263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017169381,0.00021946679,0.0032552471,0.00027174936,0.00006757204,0.00036791398,0.0001352736,0.020084344,0.07279585,0.04437122,0.44328105,0.41343328],"study_design_scores_gemma":[0.00083614263,0.0013789303,0.0062499163,0.000064594555,0.000073238865,0.0009795767,0.00007939532,0.20666566,0.049467288,0.014487357,0.71961564,0.000102173864],"about_ca_topic_score_codex":0.0015626649,"about_ca_topic_score_gemma":0.0024133471,"teacher_disagreement_score":0.027283203,"about_ca_system_score_codex":0.0004715116,"about_ca_system_score_gemma":0.0010301287,"threshold_uncertainty_score":0.09127134},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Carnegie Mellon University","keywords":"Computer science; Scale (ratio); Distributed computing; Range (aeronautics); Data science; Computer architecture","score_opus":0.033881790972489625,"score_gpt":0.24475655567050036,"score_spread":0.21087476469801075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148265697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002881123,0.09556916,0.5179191,0.019147083,0.073158614,0.001048858,0.0023773038,0.01893265,0.2689661],"genre_scores_gemma":[0.057198856,0.11190075,0.3881086,0.008946161,0.039008126,0.0026659027,0.008110481,0.0056002443,0.37846088],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879175,0.0002459023,0.00013641528,0.00011277044,0.0006274785,0.00008569187],"domain_scores_gemma":[0.99859864,0.0004333833,0.000078634854,0.00037382575,0.0003354087,0.00017995543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010088754,0.0009988667,0.001095354,0.0011386609,0.001153647,0.003908843,0.0015227963,0.0017449652,0.05509554],"category_scores_gemma":[0.0034087806,0.00064234197,0.0006236667,0.001839882,0.0010470768,0.0040473393,0.0032694284,0.0036842662,0.040287986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055977707,0.000044694745,0.00019781671,0.00094822655,0.00004652219,0.000192526,0.0002467124,0.0011482536,0.0048504244,0.3221876,0.45784256,0.21223867],"study_design_scores_gemma":[0.000014033792,0.000026078427,0.00009245632,0.00009083041,0.000008633081,0.00017636722,0.000023665327,0.0015425781,0.0007106335,0.04419512,0.95310557,0.000014068041],"about_ca_topic_score_codex":0.00029469572,"about_ca_topic_score_gemma":0.00040599794,"teacher_disagreement_score":0.05509554,"about_ca_system_score_codex":0.00060329237,"about_ca_system_score_gemma":0.0010333472,"threshold_uncertainty_score":0.18431294},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.04396272083031036,"score_gpt":0.29714006044573105,"score_spread":0.25317733961542066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210863326","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15669824,0.00045521167,0.8027114,0.0010703288,0.0003017619,0.00015472693,0.00034989975,0.025695257,0.012563092],"genre_scores_gemma":[0.6528933,0.0002536186,0.3359193,0.00026203968,0.00011331336,0.0002738962,0.0010935743,0.00082982355,0.008361262],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994961,0.00007918351,0.00002664185,0.0001057522,0.00017877138,0.00011358222],"domain_scores_gemma":[0.99900824,0.00020580113,0.00006738913,0.00037716574,0.00024401759,0.00009735718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007071013,0.0009391597,0.00046617814,0.0006444342,0.0012395597,0.00092384673,0.002126278,0.00050710625,0.0035509176],"category_scores_gemma":[0.0020361033,0.00038923687,0.00056182244,0.0010097312,0.00068624824,0.0019027911,0.0018077804,0.0012595712,0.000993078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008822271,0.0005499939,0.010549824,0.00035388113,0.00023757118,0.00034592388,0.0007106777,0.4153784,0.063725814,0.036670774,0.055177845,0.41541705],"study_design_scores_gemma":[0.000061538405,0.000127797,0.00090276054,0.00000792982,0.000021862717,0.000041063537,0.000100910525,0.9594156,0.02248969,0.00898153,0.007825803,0.000023514041],"about_ca_topic_score_codex":0.00983245,"about_ca_topic_score_gemma":0.019692475,"teacher_disagreement_score":0.00983245,"about_ca_system_score_codex":0.0014474433,"about_ca_system_score_gemma":0.0023521709,"threshold_uncertainty_score":0.019550443},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer architecture; Data science","score_opus":0.01571338613231099,"score_gpt":0.23286327752439456,"score_spread":0.21714989139208357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220946767","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000093379254,0.0028278343,0.00027211983,0.01252211,0.9787417,0.000022267557,0.000070882794,0.00010660991,0.0053430847],"genre_scores_gemma":[0.00080468203,0.0040109707,0.0002022488,0.0079134535,0.95204526,0.000028973745,0.00009878389,0.0001634498,0.03473223],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979595,0.00023594171,0.00022412837,0.0003446373,0.0009807032,0.00025508073],"domain_scores_gemma":[0.98954237,0.0021647739,0.00080974284,0.0004339359,0.0048903273,0.0021588476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027407007,0.0018803495,0.0021292858,0.002322768,0.0022252896,0.0073447526,0.0020870564,0.00659874,0.06581136],"category_scores_gemma":[0.008568991,0.0008427335,0.0014614898,0.0012498326,0.0010465452,0.003527759,0.0015007799,0.008446889,0.03616535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039884177,0.00001686388,0.000048194728,0.00016919483,0.000009637273,0.00007333011,0.000009450591,0.000027760176,0.00025861032,0.000662248,0.9884958,0.010188978],"study_design_scores_gemma":[0.000016096452,0.000043185835,0.00023919786,0.00013346318,0.00001606679,0.00016668806,0.000019699602,0.000084418636,0.00021647783,0.0006375767,0.9984175,0.000009492352],"about_ca_topic_score_codex":0.0005246401,"about_ca_topic_score_gemma":0.0015158375,"teacher_disagreement_score":0.06581136,"about_ca_system_score_codex":0.0014732673,"about_ca_system_score_gemma":0.0022804248,"threshold_uncertainty_score":0.22016096},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.017995891346665002,"score_gpt":0.282373825555241,"score_spread":0.26437793420857597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285060868","genre_codex":"software","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0743211,0.00073271693,0.26287687,0.00099682,0.0009191249,0.0010323047,0.016944995,0.50533664,0.13683954],"genre_scores_gemma":[0.27885967,0.0009145396,0.47607985,0.0006962734,0.0003002925,0.00096932193,0.07442526,0.09083813,0.07691662],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99925584,0.000063762294,0.000059375485,0.00018909556,0.00029568226,0.00013627682],"domain_scores_gemma":[0.9988238,0.00014019814,0.000039702656,0.00034706327,0.0005659134,0.00008331455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059979764,0.0013515527,0.00047563546,0.00095923495,0.00066196016,0.0010828236,0.0012467823,0.000299437,0.041734513],"category_scores_gemma":[0.0025708962,0.00072743837,0.0008379607,0.0014129942,0.00025591956,0.0013618616,0.0009099858,0.0014056258,0.03385776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007258982,0.00039318838,0.006341664,0.0005422955,0.0001241528,0.00071702065,0.00046175852,0.011981454,0.06071537,0.014556251,0.4829707,0.42047036],"study_design_scores_gemma":[0.00042276227,0.00045364987,0.01185743,0.00016830827,0.00012346325,0.00076293014,0.0004959685,0.19629711,0.1569393,0.023160353,0.6091178,0.00020093362],"about_ca_topic_score_codex":0.003412904,"about_ca_topic_score_gemma":0.006520127,"teacher_disagreement_score":0.041734513,"about_ca_system_score_codex":0.00064576464,"about_ca_system_score_gemma":0.0016668116,"threshold_uncertainty_score":0.1396159},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Parallel computing; Embedding; Operator (biology); Artificial intelligence","score_opus":0.023815185270078528,"score_gpt":0.30903484501187933,"score_spread":0.2852196597418008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401328656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4900887,0.0016773118,0.4552265,0.0010626763,0.0006973427,0.0002697249,0.0007060544,0.02558082,0.024690868],"genre_scores_gemma":[0.76037323,0.0003013877,0.22728963,0.00024563223,0.00006478113,0.00018862718,0.0010903685,0.00057671935,0.009869592],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991585,0.0001092151,0.00007089554,0.0001814744,0.00026328105,0.00021665647],"domain_scores_gemma":[0.9989317,0.00025190756,0.000050560662,0.0003045066,0.0003626286,0.000098708275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064592774,0.00084196177,0.00037913545,0.0007184398,0.0005588921,0.0011184467,0.0016334639,0.00039990232,0.009811035],"category_scores_gemma":[0.0025911531,0.00037718692,0.0004158371,0.0009856443,0.00038704195,0.0019008568,0.0010893164,0.0010500196,0.0022588617],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029205098,0.0006616331,0.011732208,0.00041092787,0.00017530947,0.0005112036,0.0007290663,0.10937351,0.085026585,0.02212231,0.044016246,0.7223205],"study_design_scores_gemma":[0.00022107123,0.0003786291,0.0021008186,0.000029882178,0.00004935392,0.00012769949,0.00020757267,0.9117191,0.06134755,0.0073918044,0.016386148,0.0000402793],"about_ca_topic_score_codex":0.007285487,"about_ca_topic_score_gemma":0.013384277,"teacher_disagreement_score":0.009811035,"about_ca_system_score_codex":0.0012922013,"about_ca_system_score_gemma":0.0017253048,"threshold_uncertainty_score":0.032821238},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Die (integrated circuit); Computer science; Electronic engineering; Engineering","score_opus":0.05331171728180428,"score_gpt":0.29899589557327844,"score_spread":0.24568417829147415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401328687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9497896,0.0009786016,0.033629045,0.000095140305,0.000073079456,0.00004421503,0.000108775355,0.00025232727,0.015029328],"genre_scores_gemma":[0.98372513,0.0004580825,0.013563653,0.000033232314,0.000009129723,0.000017100203,0.00007825501,0.000027587339,0.002087689],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951017,0.00008892157,0.000024384548,0.00005979285,0.00026243128,0.000054243934],"domain_scores_gemma":[0.9989203,0.00044736784,0.00016581951,0.00014157199,0.00028882117,0.000036213696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006333004,0.00029199742,0.0001768473,0.00038859027,0.0003096487,0.0007892949,0.0004215046,0.0003551658,0.0015169356],"category_scores_gemma":[0.0011905221,0.00010767948,0.0001714605,0.0003447168,0.00026641716,0.0006216401,0.00028586714,0.00024439307,0.0003622943],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010379774,0.00013614456,0.0028098503,0.0003942755,0.00003898346,0.00022551283,0.00014989734,0.014403559,0.8985882,0.005407667,0.00031775952,0.07649011],"study_design_scores_gemma":[0.000051731517,0.002255645,0.0067551583,0.00004931334,0.0000866363,0.00081474014,0.0002803709,0.05775596,0.92320853,0.0007705074,0.007923483,0.0000479456],"about_ca_topic_score_codex":0.00023718008,"about_ca_topic_score_gemma":0.0008231398,"teacher_disagreement_score":0.0015169356,"about_ca_system_score_codex":0.00025069632,"about_ca_system_score_gemma":0.00023844097,"threshold_uncertainty_score":0.00507468},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Computer science; Interconnection; Computer architecture; Embedded system; Computer network","score_opus":0.03457412439194708,"score_gpt":0.29359706895539533,"score_spread":0.25902294456344827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401880292","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019283002,0.0004307952,0.9612562,0.00032630583,0.00011554537,0.0001932979,0.00004274531,0.0010641754,0.017287888],"genre_scores_gemma":[0.62740403,0.000682604,0.3576054,0.00032808,0.000079097066,0.00047934576,0.00024106444,0.0003049,0.0128754815],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99878746,0.00037606692,0.00006957275,0.0001784563,0.00043185195,0.00015660739],"domain_scores_gemma":[0.9988998,0.00019153218,0.00014339777,0.0003198061,0.00037581916,0.000069637674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016755133,0.00047740902,0.00032908242,0.0005478016,0.00033174828,0.0017579192,0.0016304386,0.0006049281,0.002898864],"category_scores_gemma":[0.0017917253,0.00031426802,0.00035277006,0.0003541717,0.00052405434,0.0014805504,0.0011320986,0.0009807303,0.0013097217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025965556,0.00029901994,0.0027377533,0.0003472442,0.00018297184,0.00039702829,0.0003621202,0.275519,0.0728936,0.23436473,0.010104164,0.40253276],"study_design_scores_gemma":[0.000038491995,0.0005877364,0.0010166938,0.00006130583,0.00008595326,0.0003214926,0.00014166809,0.83967215,0.066890925,0.029896807,0.06125882,0.000027878417],"about_ca_topic_score_codex":0.00046982354,"about_ca_topic_score_gemma":0.0011715859,"teacher_disagreement_score":0.002898864,"about_ca_system_score_codex":0.00079418346,"about_ca_system_score_gemma":0.0012162408,"threshold_uncertainty_score":0.009697676},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Instinct; Computer science; Interconnection; Computer architecture; Embedded system; Software engineering; Telecommunications","score_opus":0.06929559412283103,"score_gpt":0.3113671221693567,"score_spread":0.24207152804652565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402593055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37069875,0.0012475478,0.5628137,0.0008402112,0.00035080875,0.00021929386,0.0003007198,0.0032796676,0.060249295],"genre_scores_gemma":[0.8381926,0.0002654595,0.14998706,0.0002454448,0.00005175342,0.00015564446,0.00022557244,0.00020698545,0.010669478],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978155,0.000039936804,0.000011415938,0.000037604346,0.00008718801,0.00004218457],"domain_scores_gemma":[0.9997514,0.000020969317,0.00005955491,0.000035723868,0.00010504145,0.00002728053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028793776,0.0003093651,0.00020263906,0.00033145995,0.00035168094,0.00060772715,0.00070500973,0.000371506,0.001525283],"category_scores_gemma":[0.00039108674,0.00017616435,0.00016840656,0.00033480994,0.00022081236,0.00046531617,0.00052588625,0.00041244572,0.0005274887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005274797,0.0002441691,0.00454203,0.00035762409,0.00011410823,0.001226951,0.00069004943,0.23594093,0.4757901,0.08722716,0.022991467,0.17034797],"study_design_scores_gemma":[0.00010787152,0.002571981,0.0046858843,0.000077961704,0.00010475657,0.0010048482,0.0002210876,0.63630015,0.21092805,0.01075174,0.13315095,0.00009471787],"about_ca_topic_score_codex":0.00065795647,"about_ca_topic_score_gemma":0.0019286696,"teacher_disagreement_score":0.001525283,"about_ca_system_score_codex":0.0008897498,"about_ca_system_score_gemma":0.000517008,"threshold_uncertainty_score":0.0064556003},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.023647179266806085,"score_gpt":0.34346920311546036,"score_spread":0.31982202384865427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408441842","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041272077,0.12395491,0.016093127,0.51155466,0.18463412,0.00005249778,0.00039552912,0.0011078273,0.15808025],"genre_scores_gemma":[0.05372375,0.05280601,0.007873712,0.15763843,0.05929951,0.00011239327,0.00030101958,0.0011751464,0.6670701],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979169,0.00033527197,0.00005295889,0.00028598876,0.0012167564,0.0001922053],"domain_scores_gemma":[0.9918927,0.0023814687,0.00027856542,0.00030780322,0.0035192266,0.0016202211],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022733945,0.00068943086,0.00054092443,0.0020331647,0.0023348983,0.0039475644,0.0010785018,0.0023887495,0.027992286],"category_scores_gemma":[0.017011859,0.00031923616,0.00029926322,0.0010857343,0.0023284613,0.0032960032,0.0023276529,0.00554726,0.019550323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024601422,0.000011693105,0.00047785454,0.00006497981,0.000004065342,0.0001559372,0.00043637556,0.000038327784,0.00037383425,0.009778457,0.9463377,0.042296205],"study_design_scores_gemma":[0.0000012181719,0.0000060299085,0.00019549641,0.000051367795,0.0000015879641,0.0005263316,0.00025831335,0.000048272977,0.00023265889,0.001670739,0.99699867,0.000009418875],"about_ca_topic_score_codex":0.0038937056,"about_ca_topic_score_gemma":0.0070221517,"teacher_disagreement_score":0.9720077,"about_ca_system_score_codex":0.0018693444,"about_ca_system_score_gemma":0.0023504414,"threshold_uncertainty_score":0.09364349},"labels":[],"label_agreement":null}]}