{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":127,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":127,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"cf7975c09bac","filters":{"venue":"ACM SIGMETRICS Performance Evaluation Review"}},"results":[{"id":"W3004493283","doi":"10.1145/2492101.1555372","title":"DRAM errors in the wild","year":2009,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":121,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Dram; Computer science; Universal memory; Dynamic random-access memory; Soft error; Megabit; Memory errors; Server; Reliability engineering; Embedded system; Computer hardware; Memory management; Operating system; Semiconductor memory; Telecommunications; Interleaved memory; Engineering; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.02979774523049569,"gpt":0.3125696111878361,"spread":0.2827718659573404,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004534323,0.0001577397,0.000216676,0.0003006858,0.0000632125,0.0000308795,0.0005891661,0.00006211599,0.00009456596],"category_scores_gemma":[0.002036832,0.0001217888,0.00005852853,0.003325503,0.00001249151,0.0003235782,0.00001130333,0.0003274555,0.000147716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815687,"about_ca_system_score_gemma":0.00005922456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.524504e-7,"about_ca_topic_score_gemma":0.000001982851,"domain_scores_codex":[0.9981922,0.0001743265,0.0004121316,0.0001559942,0.0007812873,0.000284043],"domain_scores_gemma":[0.9988047,0.0002751172,0.00007664195,0.0007137723,0.00009895106,0.00003075496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.880582e-7,0.00002177063,0.0003325169,0.0002976025,0.000005842305,3.80233e-7,0.00009312432,0.1399475,0.000008821024,0.0001418411,0.007192552,0.8519573],"study_design_scores_gemma":[0.000357375,0.0001416627,0.03403933,0.0006127318,0.00008673284,0.000009566073,0.000008600668,0.916686,0.00007488981,0.0003767327,0.04734176,0.0002646426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4780798,0.4972093,0.0008148837,0.003868751,0.0007200951,0.003604288,0.000002251221,0.0003175979,0.0153831],"genre_scores_gemma":[0.892688,0.1042995,0.000428067,0.002355814,0.00006555644,0.0001180815,0.00002211413,0.00001360214,0.000009304083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8516926,"threshold_uncertainty_score":0.4966403,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4236587599","doi":"10.1145/2637364.2591980","title":"An online auction framework for dynamic resource provisioning in cloud computing","year":2014,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Research Grants Council, University Grants Committee","keywords":"Computer science; Competitive analysis; Combinatorial auction; Cloud computing; Provisioning; Dual (grammatical number); TRACE (psycholinguistics); Auction algorithm; Online algorithm; Double auction; Mathematical optimization; Optimization problem; Resource allocation; Auction theory; Algorithm; Revenue equivalence; Common value auction; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.207241613590933,"gpt":0.4874762099048949,"spread":0.2802345963139619,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.02906878,0.0001851937,0.0004303934,0.000694329,0.0004603737,0.000136109,0.001100767,0.0001247665,0.0001943779],"category_scores_gemma":[0.04896798,0.0001538597,0.0001156611,0.005030627,0.0000593328,0.0005805747,0.0001133123,0.0003185525,0.0001317553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001581658,"about_ca_system_score_gemma":0.00009823459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001682857,"about_ca_topic_score_gemma":0.000003816975,"domain_scores_codex":[0.9953626,0.0008574914,0.001314484,0.0006822102,0.001497231,0.0002859582],"domain_scores_gemma":[0.9921894,0.00437441,0.0008721482,0.001519242,0.0009363928,0.0001084158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000111897,0.00009122394,0.001433564,0.0001144367,0.000002901895,2.155155e-8,0.00009890876,0.01907778,0.0000144338,0.00345644,0.0004294877,0.9752696],"study_design_scores_gemma":[0.0003811779,0.0001890905,0.0152946,0.001000739,0.00005083094,0.000004144053,0.0001852074,0.8769971,0.00003386064,0.05365443,0.05197081,0.0002380702],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2660593,0.005710011,0.7233285,0.00210313,0.0004747573,0.002060721,0.000009816163,0.00008353075,0.0001702239],"genre_scores_gemma":[0.9456099,0.002319674,0.0498626,0.00143913,0.0003338247,0.0001800241,0.0001491098,0.00002328074,0.00008241917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9750316,"threshold_uncertainty_score":0.999778,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3012290046","doi":"10.1145/511399.511337","title":"Maximum likelihood network topology identification from edge-based unicast measurements","year":2002,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Network tomography; Network topology; Topology (electrical circuits); Computer science; Unicast; Markov chain Monte Carlo; Logical topology; Identification (biology); Markov chain; Process (computing); Algorithm; Distributed computing; Mathematics; Computer network; Machine learning; Artificial intelligence; Multicast","retraction":null,"screen_n_in":null,"score":{"opus":0.1049826747153926,"gpt":0.3029572159233934,"spread":0.1979745412080008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00430089,0.0002590806,0.0004173662,0.0002241305,0.0002990834,0.0001501591,0.001780277,0.0001203742,0.0008767406],"category_scores_gemma":[0.00139906,0.0002477912,0.0001361271,0.003031647,0.00004670944,0.0006340234,0.0001743652,0.0002433835,0.001179443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000194002,"about_ca_system_score_gemma":0.0001323045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005331585,"about_ca_topic_score_gemma":0.000004803386,"domain_scores_codex":[0.996022,0.0005836976,0.0008774746,0.0006651164,0.0013744,0.0004772736],"domain_scores_gemma":[0.996077,0.0004283205,0.0005474997,0.001874137,0.0009206791,0.0001523511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002561427,0.00007473186,0.001791262,0.00007491952,0.00002894176,5.382713e-7,0.00001603315,0.002529981,0.00000934519,0.0001617365,0.01550119,0.9798087],"study_design_scores_gemma":[0.001089435,0.0001084052,0.006803147,0.0007074084,0.0002318042,0.000002972477,0.000001667258,0.9549492,0.00004117612,0.001474929,0.03421466,0.0003752107],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.00899368,0.5096775,0.4516567,0.01682748,0.004872767,0.003495979,0.000008714425,0.0005993433,0.003867799],"genre_scores_gemma":[0.9157757,0.05758513,0.0184397,0.006939875,0.0005604096,0.000455285,0.0001092413,0.00002692265,0.0001077044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9794335,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2071072864","doi":"10.1145/2479942.2479944","title":"A study of pricing for cloud resources","year":2013,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Bandwidth throttling; Cloud computing; Revenue; Computer science; Sizing; Revenue management; Work (physics); Position (finance); Resource (disambiguation); Dynamic pricing; Yield management; Order (exchange); TRACE (psycholinguistics); Pricing strategies; Operations research; Microeconomics; Economics; Finance; Engineering; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.0748627552035288,"gpt":0.3309185571514581,"spread":0.2560558019479293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004348794,0.0001550807,0.0003544046,0.0003622529,0.0001758579,0.00007973393,0.00146581,0.00003101738,0.00002857999],"category_scores_gemma":[0.001811821,0.0001231164,0.00009279276,0.002483588,0.0000159074,0.00009718491,0.000559635,0.0000943105,0.00004711191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000647046,"about_ca_system_score_gemma":0.00004207008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002072642,"about_ca_topic_score_gemma":5.537514e-7,"domain_scores_codex":[0.9975093,0.0001961499,0.0006706052,0.0003889855,0.0009895441,0.0002454327],"domain_scores_gemma":[0.996989,0.0004762058,0.0004668712,0.001268163,0.0007432271,0.00005657905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001475348,0.0002567569,0.002852641,0.001222594,0.00004260041,1.640021e-7,0.001061385,0.00392303,0.000006066191,0.0001656615,0.004428232,0.9860394],"study_design_scores_gemma":[0.001817125,0.001650667,0.03835497,0.002129179,0.0002788879,0.000004677928,0.0003760751,0.9348015,0.00009222229,0.0004278406,0.01959603,0.0004707767],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658264,0.01849105,0.009258611,0.0007307574,0.0003492333,0.004409637,2.64648e-7,0.00008508121,0.0008489711],"genre_scores_gemma":[0.9869406,0.001769681,0.009942029,0.0005145966,0.0001050534,0.0005466447,0.000001744806,0.0000116795,0.0001679416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9855686,"threshold_uncertainty_score":0.5020542,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3006995895","doi":"10.1145/2318857.2254776","title":"Pricing cloud bandwidth reservations under demand uncertainty","year":2012,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Cloud computing; Computer science; Dynamic bandwidth allocation; Bandwidth (computing); Bandwidth allocation; Mathematical optimization; Computer network; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.0897702861553863,"gpt":0.3370981740553539,"spread":0.2473278878999676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009302359,0.0002160663,0.0003045497,0.0003669554,0.0004321649,0.0001145506,0.001369717,0.00006162147,0.00009388274],"category_scores_gemma":[0.002508098,0.0001777395,0.0001134582,0.003971086,0.00002956394,0.000269997,0.0007205359,0.0002251385,0.0002239809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601357,"about_ca_system_score_gemma":0.0001105088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001059417,"about_ca_topic_score_gemma":9.652474e-7,"domain_scores_codex":[0.9967822,0.0003593379,0.0005955371,0.0003848109,0.001353546,0.00052458],"domain_scores_gemma":[0.9970127,0.0006066951,0.0003338688,0.001524503,0.0003619336,0.0001603196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002392416,0.0001808974,0.01258219,0.001125202,0.0000684116,4.269292e-7,0.0004234771,0.05514902,0.000008999181,0.006656076,0.01708585,0.9067171],"study_design_scores_gemma":[0.0005372004,0.00008937678,0.04552174,0.00139226,0.0001863595,0.00001162846,0.00002880392,0.816778,0.00004687782,0.0006643706,0.1342599,0.0004835024],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5095115,0.2088926,0.2508107,0.01126108,0.003469232,0.003179433,0.000001587163,0.0006012575,0.01227262],"genre_scores_gemma":[0.9462038,0.0301768,0.01708889,0.00533023,0.0005581492,0.0001436161,0.00001966617,0.00002253947,0.0004562988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9062335,"threshold_uncertainty_score":0.7248007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996482980","doi":"10.1145/974036.974037","title":"A performance comparison of dynamic Web technologies","year":2003,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Perl; Computer science; Dynamic web page; Workload; Java; Operating system; Web application; Application server; Web server; Implementation; Database; World Wide Web; Web service; The Internet; Software engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0493705115308195,"gpt":0.3324819771618349,"spread":0.2831114656310154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003384149,0.000219257,0.0005300736,0.0004190434,0.000151643,0.00003911097,0.001468093,0.0001028652,0.00007180129],"category_scores_gemma":[0.002521885,0.000190715,0.0001056308,0.003917956,0.00007459219,0.0005979761,0.0001635254,0.0002517982,0.0001211386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141322,"about_ca_system_score_gemma":0.0003407946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.02549e-7,"about_ca_topic_score_gemma":8.537816e-7,"domain_scores_codex":[0.9972068,0.0002149781,0.0008070211,0.000411374,0.001038324,0.0003214717],"domain_scores_gemma":[0.9969939,0.0003093377,0.0005308758,0.001428303,0.0006877476,0.00004982959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001815173,0.00005865889,0.005515452,0.0004767561,0.00001528063,1.357716e-7,0.00002577778,0.0006142564,0.00002981524,0.001244988,0.0007515343,0.9912655],"study_design_scores_gemma":[0.00055359,0.0002067242,0.001607382,0.0009893352,0.00009019667,0.00000841642,0.00002013176,0.9822272,0.0002955521,0.000106247,0.01364307,0.0002521459],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4529297,0.49993,0.03327148,0.002335699,0.001306166,0.002832297,0.00000317915,0.0008691275,0.006522374],"genre_scores_gemma":[0.8839548,0.1038044,0.01183931,0.0001737712,0.000007747766,0.0001512561,0.000005091355,0.000008933386,0.00005472407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9910134,"threshold_uncertainty_score":0.7777133,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281741287","doi":"10.1145/3543146.3543168","title":"LogStamp","year":2022,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Parsing; Computer science; Set (abstract data type); Training set; Service (business); Data set; Data mining; Artificial intelligence; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.06053903006316866,"gpt":0.3235410959505138,"spread":0.2630020658873451,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009683977,0.0001917987,0.0003495545,0.0003796569,0.0006562987,0.00006156898,0.002454391,0.00003797961,0.001014667],"category_scores_gemma":[0.00184631,0.000168711,0.0001421956,0.005005853,0.00002859896,0.0008306166,0.001238114,0.0003387612,0.0003720096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004296386,"about_ca_system_score_gemma":0.000421647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005376501,"about_ca_topic_score_gemma":2.539564e-7,"domain_scores_codex":[0.9958087,0.0004956715,0.0006642003,0.0005423175,0.002135076,0.0003539924],"domain_scores_gemma":[0.9966247,0.0002781001,0.0003399821,0.002179117,0.0004842358,0.00009385895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002688217,0.0001343111,0.01176589,0.00104331,0.00001849438,0.000001455532,0.0001286144,0.001434797,0.000006226768,0.0005713452,0.02026604,0.9646268],"study_design_scores_gemma":[0.001417682,0.0007774342,0.0426404,0.0008054015,0.0001630435,0.0001630596,0.00004193875,0.2710124,0.000190688,0.00147837,0.680223,0.00108659],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2754159,0.6129209,0.06133278,0.0146913,0.01057025,0.009842051,0.0000254651,0.001728588,0.01347277],"genre_scores_gemma":[0.9286552,0.05474466,0.008674069,0.005820197,0.0001188058,0.001577059,0.00005623162,0.00002318631,0.0003306136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9635403,"threshold_uncertainty_score":0.9998986,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1997001718","doi":"10.1145/362883.362903","title":"Providing a differentiated quality of service in a World Wide Web server","year":2000,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Web server; Application server; Server; Web service; Computer science; World Wide Web; Web API; Service (business); Client–server model; Web development; The Internet; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.07401537486685447,"gpt":0.3413055260193137,"spread":0.2672901511524592,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004296138,0.0002619918,0.0005846476,0.0007550853,0.00009271437,0.0000600536,0.00189368,0.00006549034,0.0006344913],"category_scores_gemma":[0.0003770705,0.0002245975,0.0001135009,0.0121148,0.00001619699,0.0009489864,0.0003128609,0.0002630852,0.0001287038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019033,"about_ca_system_score_gemma":0.0002510669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002032865,"about_ca_topic_score_gemma":0.0009382611,"domain_scores_codex":[0.9960052,0.0005753012,0.001154174,0.0005491384,0.001344748,0.0003714696],"domain_scores_gemma":[0.9967329,0.0005574803,0.0004707128,0.001523998,0.0006210958,0.00009384761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004054111,0.000355942,0.09219129,0.0100429,0.00005862244,0.000001458803,0.0009843159,0.001676566,0.0003490382,0.0007562971,0.000208931,0.8933341],"study_design_scores_gemma":[0.002905331,0.0001836716,0.6360379,0.009849915,0.0001844953,0.000006501375,0.00003085669,0.3319778,0.001648074,0.001174885,0.0150339,0.000966632],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685552,0.02487918,0.00028492,0.003045393,0.0001621717,0.001281034,0.000003370646,0.00009820137,0.001690501],"genre_scores_gemma":[0.9702802,0.01744988,0.003392005,0.008539734,0.00003212479,0.0001598264,0.00004274006,0.00001666381,0.00008680886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8923675,"threshold_uncertainty_score":0.9158821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2038487391","doi":"10.1145/2425248.2425257","title":"RealTime distributed congestion control for electrical vehicle charging","year":2012,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Grid; Leverage (statistics); Computer science; Network congestion; Software deployment; Control (management); Electric vehicle; Charge control; Real-time computing; Simulation; Distributed computing; Automotive engineering; Computer network; Engineering; Artificial intelligence; Battery (electricity)","retraction":null,"screen_n_in":null,"score":{"opus":0.02846037513839969,"gpt":0.2895891880984932,"spread":0.2611288129600935,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002376035,0.0002033793,0.0003669253,0.000195525,0.000138019,0.00002773436,0.0002467864,0.0001204772,0.0001496539],"category_scores_gemma":[0.00192605,0.0001921258,0.0001033253,0.001669889,0.00001357087,0.000488812,0.00001784849,0.0002451072,0.00007025465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003324259,"about_ca_system_score_gemma":0.00005042116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001004326,"about_ca_topic_score_gemma":1.249427e-7,"domain_scores_codex":[0.9981964,0.0000776809,0.0004901267,0.0001760476,0.0005064839,0.0005533227],"domain_scores_gemma":[0.9986302,0.0003366841,0.0001301461,0.0003864262,0.0003711138,0.0001454137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000130841,0.00003235514,0.009534265,0.001226979,0.00006145304,8.694597e-8,0.00002105803,0.004472633,0.0006764795,0.0002799142,0.01378276,0.9698989],"study_design_scores_gemma":[0.001351882,0.0001461884,0.06904204,0.000429458,0.0004028679,0.00001175061,0.000001865703,0.8809537,0.001043123,0.0001021821,0.04611873,0.0003961855],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3353865,0.5911931,0.06280077,0.001246877,0.001390905,0.006344891,0.0001278996,0.0007436791,0.000765376],"genre_scores_gemma":[0.953651,0.04372587,0.00108852,0.0005024913,0.0003377036,0.0003804948,0.0002673618,0.00003612032,0.00001045572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9695027,"threshold_uncertainty_score":0.7834664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068893122","doi":"10.1145/512840.512843","title":"A case for context-aware TCP/IP","year":2002,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Computer network; Random early detection; Network congestion; Packet loss; Transmission Control Protocol; Context (archaeology); Operating system; Network packet; Active queue management; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.1319695618140418,"gpt":0.3224936430204087,"spread":0.1905240812063669,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002842272,0.0002118863,0.0003685101,0.000231731,0.0002964053,0.0001128365,0.00096044,0.00007609576,0.0004100327],"category_scores_gemma":[0.001924417,0.0001880918,0.0001589043,0.001990983,0.0000281476,0.0007003138,0.0001261256,0.0001535742,0.0003522326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001057344,"about_ca_system_score_gemma":0.0000834459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001570078,"about_ca_topic_score_gemma":0.000002326382,"domain_scores_codex":[0.9977456,0.000170318,0.0005743689,0.0004711506,0.0006883008,0.0003502755],"domain_scores_gemma":[0.9968381,0.0007049368,0.0002903601,0.001125189,0.0009107235,0.0001306726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000150137,0.0000362915,0.00007822383,0.0003003417,0.00001646498,0.000009873768,0.00004195932,0.0001648418,3.260156e-7,0.001066019,0.02623174,0.9720524],"study_design_scores_gemma":[0.0008996337,0.0001503043,0.00006406257,0.0004397219,0.0001193222,0.0003184869,0.000005943087,0.8950956,0.00000749384,0.00009770173,0.1025537,0.0002480293],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01014341,0.4431725,0.5237299,0.01266649,0.001898708,0.006232882,0.00001427894,0.0005144938,0.001627358],"genre_scores_gemma":[0.9321922,0.05344934,0.006763463,0.00592608,0.0002002895,0.0009422721,0.0000138108,0.000017144,0.0004953949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9718044,"threshold_uncertainty_score":0.7670163,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3032989794","doi":"10.1145/2796314.2745855","title":"Online Auctions in IaaS Clouds","year":2015,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Research Grants Council, University Grants Committee","keywords":"Profit maximization; Computer science; Provisioning; Cloud computing; Common value auction; Server; Combinatorial auction; Profit (economics); Social Welfare; Competitive analysis; Payment; Maximization; Online algorithm; Mathematical optimization; Microeconomics; Economics; Computer network; Operating system; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.135002328850202,"gpt":0.3594833502782876,"spread":0.2244810214280857,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005565305,0.0001587208,0.0002730672,0.0005086309,0.00009222925,0.00006781399,0.001331477,0.00004719596,0.00002879758],"category_scores_gemma":[0.002613621,0.0001387766,0.0000711509,0.005091261,0.00002214216,0.0001162477,0.0006161619,0.0002168556,0.0002174466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002890575,"about_ca_system_score_gemma":0.0002073344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001535073,"about_ca_topic_score_gemma":0.000005336589,"domain_scores_codex":[0.9973856,0.0002476221,0.0005519512,0.0003968477,0.00113549,0.0002824886],"domain_scores_gemma":[0.9978431,0.0001386019,0.0002048715,0.00123735,0.0004515783,0.0001244517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000109268,0.0001806861,0.002828961,0.0002552462,0.000009755185,0.00000181686,0.0001563564,0.02084248,6.560548e-7,0.0005593923,0.008841748,0.9663218],"study_design_scores_gemma":[0.0006997259,0.0001353626,0.0190752,0.001026071,0.00004561535,0.00001360573,0.00002697318,0.8887305,0.000007831411,0.0005862396,0.08938187,0.0002709804],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7271904,0.2087242,0.02686573,0.01986924,0.003106676,0.002921655,0.000003008499,0.0005506616,0.01076834],"genre_scores_gemma":[0.9154396,0.03174246,0.04597151,0.005213455,0.000430241,0.0001964338,0.00004399245,0.00002988831,0.000932414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9660508,"threshold_uncertainty_score":0.5659146,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3014454296","doi":"10.1145/1384529.1375459","title":"Performance of random medium access control, an asymptotic approach","year":2008,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Aloha; Computer science; Random access; Network packet; Queue; Access control; Simple (philosophy); Computer network; Queueing theory; Exponential backoff; Distributed computing; Throughput; Algorithm; Wireless; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.1075905417722812,"gpt":0.350343125879688,"spread":0.2427525841074067,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006703134,0.0002994642,0.0008053113,0.0003998844,0.0003013661,0.00008296089,0.003257416,0.0001152941,0.0001046304],"category_scores_gemma":[0.001043658,0.0002429176,0.0001517078,0.003764399,0.000104148,0.002814418,0.0003460645,0.0002751507,0.0000413769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008616827,"about_ca_system_score_gemma":0.0004941944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004941355,"about_ca_topic_score_gemma":3.222034e-7,"domain_scores_codex":[0.9955777,0.0005315769,0.001042258,0.000579547,0.00183597,0.0004329738],"domain_scores_gemma":[0.9957089,0.0004216458,0.0007316216,0.001888136,0.001075294,0.0001743306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001160528,0.0005032314,0.0877817,0.005496804,0.00009532941,0.000002338309,0.0002519545,0.03269481,0.00003793983,0.0003249497,0.003764321,0.8689306],"study_design_scores_gemma":[0.002793039,0.0004453926,0.06136291,0.0009958253,0.00009629968,0.00003974292,0.000001248414,0.9314471,0.0002358997,0.00003471903,0.002196506,0.0003513229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5868331,0.1087551,0.2514984,0.001330527,0.001529066,0.04230533,0.00001149703,0.0004917035,0.007245276],"genre_scores_gemma":[0.9085779,0.07780232,0.009350549,0.000917203,0.0001623905,0.003106358,0.00002980094,0.0000203985,0.00003312375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8987523,"threshold_uncertainty_score":0.9905892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3009424282","doi":"10.1145/1384529.1375492","title":"Analysis of bittorrent-like protocols for on-demand stored media streaming","year":2008,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"","keywords":"BitTorrent; Computer science; Upload; Download; Bandwidth (computing); Peer-to-peer; On demand; Computer network; Distributed computing; Multimedia; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.1457930918541964,"gpt":0.3786104444600324,"spread":0.232817352605836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003916242,0.0002471125,0.0007740469,0.001938693,0.0001808713,0.00003489498,0.002181337,0.00009604186,0.00002515379],"category_scores_gemma":[0.007640067,0.0002129663,0.0002469847,0.01323076,0.00005819117,0.0004401501,0.0003767116,0.0001497446,0.0000275548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001958522,"about_ca_system_score_gemma":0.0002297097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002513814,"about_ca_topic_score_gemma":0.000003272202,"domain_scores_codex":[0.9964587,0.0001352202,0.0008378104,0.0005886632,0.001615511,0.0003640795],"domain_scores_gemma":[0.9952043,0.001001871,0.000583824,0.002019307,0.001091382,0.00009928529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001294722,0.0001394843,0.01602679,0.0007354708,0.0002594059,9.025449e-7,0.0002422436,0.006902858,0.00003211372,0.0003339849,0.01029257,0.9650213],"study_design_scores_gemma":[0.001540522,0.00124147,0.1482495,0.003340221,0.001532111,0.000006749307,0.00001689902,0.7988219,0.001788048,0.0002655522,0.04226564,0.000931364],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4266054,0.06605493,0.4045896,0.004098501,0.001660503,0.09502677,0.00009752045,0.001244782,0.0006220611],"genre_scores_gemma":[0.7319461,0.03932032,0.1858559,0.001947414,0.000165283,0.04039999,0.0001904503,0.0000527082,0.0001218388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9640899,"threshold_uncertainty_score":0.9146426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4238261333","doi":"10.1145/1269899.1254916","title":"Building high accuracy bloom filters using partitioned hashing","year":2007,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bell (Canada)","funders":"","keywords":"Bloom filter; Hash function; Computer science; False positive paradox; Network packet; Probabilistic logic; Bit array; Set (abstract data type); Filter (signal processing); Algorithm; Artificial intelligence; Computer network; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.1163070956704445,"gpt":0.3670505173864834,"spread":0.2507434217160389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009174989,0.0002114363,0.0003175739,0.0005205452,0.0003963947,0.0002198335,0.001193444,0.00006592227,0.0000686459],"category_scores_gemma":[0.005357318,0.0002018162,0.0001326311,0.002898338,0.00002461237,0.001780465,0.0003403173,0.0002519733,0.00008036083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003467545,"about_ca_system_score_gemma":0.0001828844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003808028,"about_ca_topic_score_gemma":0.000001995608,"domain_scores_codex":[0.9969355,0.0001817876,0.0007128837,0.0004726461,0.001260211,0.0004368989],"domain_scores_gemma":[0.9969093,0.0008011669,0.0004433259,0.001142236,0.0005787211,0.0001252706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005814155,0.00006685066,0.001673977,0.0005728148,0.00004034054,0.000006392511,0.0001034322,0.003704592,0.001986837,0.001861493,0.001317638,0.9886598],"study_design_scores_gemma":[0.001165145,0.0001559619,0.009033253,0.004818998,0.0003484532,0.00007463997,0.00001968486,0.9697841,0.003015947,0.001125764,0.00955731,0.0009007012],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4993672,0.03068177,0.4667663,0.0007735384,0.001203923,0.0007179569,0.000001642196,0.0001898515,0.0002978298],"genre_scores_gemma":[0.9289888,0.01291166,0.05461427,0.003246481,0.0001591862,0.00002689198,0.00001410013,0.00001569459,0.0000229842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9877591,"threshold_uncertainty_score":0.8229827,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3088063260","doi":"10.1145/1012888.1005726","title":"A model of BGP routing for network engineering","year":2004,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Distributed computing; Computer network; Network mapping; Routing protocol; Routing domain; Router; Default-free zone; Static routing; Border Gateway Protocol; Routing (electronic design automation); Routing table; Traffic engineering; IP forwarding; Exploit; The Internet; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.07282824963096528,"gpt":0.2985425160890364,"spread":0.2257142664580711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003541512,0.0001421277,0.0003145891,0.0001308913,0.00009588376,0.00003137307,0.000783806,0.00004983269,0.000006093649],"category_scores_gemma":[0.001611859,0.0001334763,0.0001190952,0.001691471,0.00001060022,0.0004097636,0.0001112188,0.0001024702,0.00001009255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009733871,"about_ca_system_score_gemma":0.0002683988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.459529e-7,"about_ca_topic_score_gemma":3.424404e-7,"domain_scores_codex":[0.9983193,0.00003337409,0.0005396045,0.0002705986,0.000553046,0.0002840879],"domain_scores_gemma":[0.9981598,0.0002895505,0.0002879839,0.0006544887,0.00054744,0.00006069768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001142213,0.000009944416,0.00004337281,0.0002393749,0.000008687758,3.127866e-8,0.00001650424,0.5796037,0.000007459723,0.008509487,0.0001680294,0.4113922],"study_design_scores_gemma":[0.0006029019,0.00006699759,0.000129754,0.001227603,0.00007134869,0.000001667541,6.326427e-7,0.9961599,0.0000395627,0.0008105462,0.0007441876,0.0001449702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004959815,0.04044958,0.9522706,0.0007633694,0.0002972072,0.001056706,0.000001177345,0.00008733149,0.0001142698],"genre_scores_gemma":[0.7942712,0.01578947,0.1888101,0.0006900307,0.0001372053,0.0002653645,0.00000765726,0.00001217128,0.00001675774],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7893114,"threshold_uncertainty_score":0.5443004,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3168707590","doi":"10.1145/345063.339342","title":"On achievable service differentiation with token bucket marking for TCP","year":2000,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Concordia University","keywords":"Token bucket; Computer network; Leaky bucket; Computer science; Service (business); Network packet; Scalability; Differentiated services; Differentiated service; Set (abstract data type); Service provider; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.03753820493755486,"gpt":0.2830861536880323,"spread":0.2455479487504774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002239098,0.000219703,0.0003222171,0.0001929115,0.0002710717,0.0001379019,0.000926287,0.00006258012,0.0005638787],"category_scores_gemma":[0.0003704212,0.0001734318,0.00007353297,0.002211225,0.0000114581,0.0006645943,0.00005191617,0.0001510732,0.0002364427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083656,"about_ca_system_score_gemma":0.000143644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000205948,"about_ca_topic_score_gemma":0.000003470596,"domain_scores_codex":[0.997655,0.0001659395,0.0004245568,0.0004697473,0.0009638102,0.0003209498],"domain_scores_gemma":[0.9975638,0.0005377705,0.0002331619,0.0009507216,0.0006271212,0.00008738386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003121699,0.00004803518,0.0001808623,0.0003236563,0.00002166789,1.628337e-7,0.00002706624,0.004882781,0.000002076829,0.001028926,0.002755584,0.990698],"study_design_scores_gemma":[0.001514809,0.0004124686,0.003685374,0.001475703,0.0001718073,0.000005931192,0.000001906907,0.9504805,0.00003186729,0.0003861666,0.04149597,0.0003375607],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3921429,0.07829815,0.4791425,0.0230951,0.001553158,0.01290305,0.00002018564,0.000974108,0.01187091],"genre_scores_gemma":[0.9265189,0.04304147,0.01513815,0.01269289,0.0002554076,0.001315716,0.0001365704,0.00003871756,0.0008622422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9903604,"threshold_uncertainty_score":0.7072344,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4238371512","doi":"10.1145/3376930.3376989","title":"Demystifying ComplexWorkload-DRAM Interactions","year":2019,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Dram; Computer science; Dynamic random-access memory; Universal memory; Embedded system; Workload; Throughput; Computer architecture; Parallel computing; Memory management; Semiconductor memory; Computer hardware; Operating system; Interleaved memory","retraction":null,"screen_n_in":null,"score":{"opus":0.09426226989097763,"gpt":0.371122829678936,"spread":0.2768605597879584,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00276709,0.0001853873,0.0003213401,0.0004396796,0.0001942354,0.0001461014,0.001451473,0.00004889459,0.0003594935],"category_scores_gemma":[0.001280751,0.0001727429,0.0001037495,0.003144759,0.00001635186,0.0009877264,0.0004185226,0.0002436709,0.001021076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001663951,"about_ca_system_score_gemma":0.0001492085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003035333,"about_ca_topic_score_gemma":3.49313e-7,"domain_scores_codex":[0.9976559,0.000230563,0.0005712117,0.0004442135,0.0008296596,0.0002684095],"domain_scores_gemma":[0.9971687,0.0003861192,0.000357717,0.001336418,0.0006719462,0.0000791383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001824091,0.00007501493,0.00461062,0.0007032261,0.00002384795,4.0711e-7,0.00006922577,0.008291434,0.00002753575,0.002717599,0.0109012,0.972578],"study_design_scores_gemma":[0.0002412775,0.00008400201,0.002698296,0.001702043,0.00003559187,0.00001376865,0.000002242456,0.9510078,0.0001458859,0.0005903746,0.04319539,0.0002833397],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01130474,0.05537946,0.8987237,0.004686485,0.001689261,0.002651215,0.00000166452,0.001120696,0.02444278],"genre_scores_gemma":[0.630849,0.04801487,0.3168269,0.003350542,0.00009525562,0.0001824582,0.00004181488,0.00002466229,0.0006145037],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9722947,"threshold_uncertainty_score":0.9997568,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3135062675","doi":"10.1145/3453953.3453968","title":"A Rent-Seeking Framework for Multipath TCP","year":2021,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Multipath TCP; Computer science; Mathematical optimization; Nash equilibrium; Multipath propagation; Function (biology); Utility maximization; Utility maximization problem; Mathematical economics; Computer network; Economics; Mathematics; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.08501074543276876,"gpt":0.3548096472219973,"spread":0.2697989017892286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003408839,0.0001963624,0.0003800993,0.0001672493,0.0002470729,0.0001522023,0.001007178,0.00009841046,0.0001584734],"category_scores_gemma":[0.009183252,0.000185058,0.0001817652,0.002855088,0.0000188158,0.0005285019,0.0002278348,0.0002224852,0.0001214982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101195,"about_ca_system_score_gemma":0.0004170662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.345953e-7,"about_ca_topic_score_gemma":6.077177e-7,"domain_scores_codex":[0.9973662,0.0002266398,0.0005770419,0.0005630417,0.0009086089,0.0003584205],"domain_scores_gemma":[0.9956354,0.001215702,0.0003151969,0.001370121,0.001350055,0.0001135526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002258043,0.00003928502,0.0003590197,0.0003906015,0.00002006625,0.000001080551,0.00003838606,0.000409427,0.000008047029,0.009397005,0.002573519,0.9867613],"study_design_scores_gemma":[0.000755494,0.00009063353,0.001081344,0.002361218,0.0001508892,0.00001504626,0.000007111552,0.9119993,0.00009194908,0.002699991,0.08041625,0.000330742],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001586371,0.1572755,0.8345309,0.003988486,0.001081026,0.001098464,0.000002415308,0.0001395078,0.000297339],"genre_scores_gemma":[0.3541909,0.1584323,0.4748799,0.01027664,0.0005538025,0.001231038,0.00007069436,0.00003392864,0.0003308106],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9864306,"threshold_uncertainty_score":0.9991628,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983936126","doi":"10.1145/2160803.2160850","title":"Robust heterogeneous data center design","year":2011,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"","keywords":"Center (category theory); Data center; Computer science; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.3628642774726584,"gpt":0.3335524476560244,"spread":0.02931182981663399,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00623218,0.0002116058,0.0002796218,0.0002861952,0.0001924054,0.00008870405,0.004759246,0.00004763601,0.0001873424],"category_scores_gemma":[0.001112255,0.0001753213,0.00007029192,0.001996154,0.00002686827,0.0001879641,0.002364097,0.0001536278,0.0004295301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008526933,"about_ca_system_score_gemma":0.00009023266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005676846,"about_ca_topic_score_gemma":4.437653e-7,"domain_scores_codex":[0.9969952,0.0003635875,0.000535048,0.0007069088,0.001045224,0.0003540665],"domain_scores_gemma":[0.9951335,0.0001564283,0.0002877452,0.004015908,0.000302967,0.0001034972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002334634,0.0001198556,0.0006375785,0.0003839956,0.00003738063,0.000004134416,0.0001096813,0.006312951,9.365975e-7,0.00008578795,0.009811064,0.9824943],"study_design_scores_gemma":[0.0003346996,0.0001294777,0.001415004,0.0007334864,0.00009581014,0.0000314255,0.000002505137,0.9743928,0.00007294708,0.0001019895,0.02240031,0.0002895553],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0171514,0.132071,0.8359961,0.001362089,0.001767433,0.003312983,0.000005852504,0.0005627822,0.007770321],"genre_scores_gemma":[0.455534,0.07250707,0.4647858,0.006094572,0.0003085759,0.0002069838,0.00009749924,0.00006166976,0.0004038095],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9822047,"threshold_uncertainty_score":0.8843943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3010697107","doi":"10.1145/1071690.1064230","title":"Empirical evaluation of multi-level buffer cache collaboration for storage systems","year":2005,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Cache; False sharing; Transparency (behavior); Distributed computing; Server; Hierarchy; Interface (matter); Software; Operating system; Memory hierarchy; IBM; File server; Cache algorithms; CPU cache; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.2999696618927457,"gpt":0.4431986743173009,"spread":0.1432290124245553,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01259241,0.0002655537,0.0005257289,0.0006001907,0.0001759387,0.00008712284,0.00158492,0.0001629888,0.00003082215],"category_scores_gemma":[0.01862421,0.0002387729,0.00009591107,0.004050119,0.00006150833,0.002201564,0.000330925,0.0001781919,0.00005689022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008759154,"about_ca_system_score_gemma":0.0007121305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000195211,"about_ca_topic_score_gemma":0.00000475353,"domain_scores_codex":[0.9952191,0.0004534563,0.001044911,0.00061834,0.002339207,0.000324949],"domain_scores_gemma":[0.9918033,0.0005712194,0.0008825729,0.001972603,0.004702859,0.00006747531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005485349,0.0001343493,0.0003594538,0.000998018,0.00002927174,1.133875e-7,0.0001630133,0.04158918,0.0001581505,0.0005736613,0.006575663,0.9494137],"study_design_scores_gemma":[0.001215332,0.0001572378,0.00262131,0.0005848497,0.0002380593,0.000004845602,0.00004226058,0.9763716,0.0009918787,0.0001407933,0.01734048,0.0002913697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02729791,0.1533853,0.8100817,0.00203031,0.0006955364,0.006096478,0.00007529087,0.0002530503,0.00008452906],"genre_scores_gemma":[0.6652062,0.02359731,0.3081642,0.0004785332,0.000123994,0.002102346,0.0002277348,0.00002977768,0.00006993979],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9491223,"threshold_uncertainty_score":0.9896423,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994154115","doi":"10.1145/2825236.2825256","title":"Network calculus for parallel processing","year":2015,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Probabilistic logic; Parallel processing; Network calculus; Join (topology); Calculus (dental); Fork (system call); Parallel computing; Algorithm; Theoretical computer science; Mathematics; Artificial intelligence; Combinatorics; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.1428954811838739,"gpt":0.3534606015862004,"spread":0.2105651204023264,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007528802,0.0001713092,0.0002907612,0.0001551688,0.0002362515,0.0001384046,0.001306341,0.00004648429,0.000006224691],"category_scores_gemma":[0.002123693,0.0001414734,0.00008721186,0.002534552,0.0000190609,0.0001174457,0.0004617165,0.0001105902,0.00007274078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597117,"about_ca_system_score_gemma":0.0002497112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001991413,"about_ca_topic_score_gemma":3.308259e-7,"domain_scores_codex":[0.9975745,0.0001382247,0.0004759463,0.0004176064,0.001010576,0.0003831163],"domain_scores_gemma":[0.9976541,0.0001704427,0.0003027628,0.0009178519,0.0008191207,0.0001357367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002436408,0.00002519461,0.0002598652,0.0006264273,0.000008479009,3.057777e-7,0.00007338372,0.05885686,1.312284e-7,0.0006892318,0.03282511,0.9066326],"study_design_scores_gemma":[0.0005125293,0.000120563,0.0004780784,0.0008520233,0.00006603424,0.000004521139,0.000005543295,0.8790671,0.000002105998,0.000956103,0.1177385,0.0001969436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00575278,0.2529323,0.7280403,0.005964484,0.001016781,0.002753303,5.328904e-7,0.0003018195,0.003237618],"genre_scores_gemma":[0.4254006,0.01577875,0.5361612,0.01759775,0.001745363,0.00162645,0.00005195198,0.00007384623,0.001564063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9064356,"threshold_uncertainty_score":0.576912,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3190330924","doi":"10.1145/2637364.2591999","title":"Randomized auction design for electricity markets between grids and microgrids","year":2014,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Microgrid; Computer science; Double auction; Common value auction; Electricity; Mathematical optimization; Grid; Auction theory; Combinatorial auction; Reverse auction; Microeconomics; Economics; Electrical engineering; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.05328012082800311,"gpt":0.291645716438151,"spread":0.2383655956101479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01344552,0.0002448257,0.0006638201,0.0004194384,0.0001224737,0.00004846766,0.0002581333,0.00008368716,0.00004791861],"category_scores_gemma":[0.004775063,0.0002229028,0.0001207842,0.00126027,0.00003500094,0.0002695703,0.00005521712,0.0001290397,0.00002465708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016963,"about_ca_system_score_gemma":0.00002473672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001383745,"about_ca_topic_score_gemma":1.838354e-7,"domain_scores_codex":[0.9978692,0.0004113801,0.0006264545,0.0002886517,0.0005003048,0.0003039872],"domain_scores_gemma":[0.9975024,0.001515102,0.0001481129,0.0004829292,0.0002731343,0.00007829554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000371281,0.00001628856,0.000743832,0.003254157,0.0001872229,4.95703e-8,0.00001622608,0.03332854,0.00002984616,0.00007799847,0.01655739,0.9454172],"study_design_scores_gemma":[0.02445349,0.00009894725,0.005421592,0.0005449315,0.0010308,0.000001746911,0.000001175497,0.9267434,0.0009670823,0.0004445249,0.03989018,0.0004020665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08687933,0.1066926,0.7968678,0.0005075544,0.001131351,0.006560743,0.000004695347,0.0004140101,0.0009419197],"genre_scores_gemma":[0.6132641,0.353935,0.02863699,0.0005770068,0.0007339418,0.002498043,0.0001571551,0.0000940528,0.0001037016],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9450151,"threshold_uncertainty_score":0.9089714,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3004466188","doi":"10.1145/1384529.1375476","title":"On the design of hybrid peer-to-peer systems","year":2008,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Scalability; Peer-to-peer; Computer science; Distributed computing; Bounded function; Computer network; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.1506142607132316,"gpt":0.3276585735565172,"spread":0.1770443128432856,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01236202,0.000293996,0.0005436057,0.0007572042,0.0002829929,0.00007959649,0.004126025,0.00006224174,0.0000405483],"category_scores_gemma":[0.02610779,0.0002036432,0.0001072742,0.006905721,0.0000681147,0.0004004246,0.0007136089,0.0003024579,0.000801161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002305818,"about_ca_system_score_gemma":0.0002827557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000530186,"about_ca_topic_score_gemma":1.373142e-7,"domain_scores_codex":[0.9938033,0.0004596323,0.0008283377,0.0005814225,0.003872591,0.0004547196],"domain_scores_gemma":[0.9921286,0.001623816,0.0004161847,0.003045782,0.00266345,0.0001222352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001145755,0.0001097327,0.0005270105,0.0005122962,0.00005313,0.000007509234,0.0002028196,0.09340629,0.0000623031,0.005890406,0.5559283,0.3432887],"study_design_scores_gemma":[0.000758016,0.001902995,0.006102729,0.005349884,0.0001846976,0.0002129541,0.00002685999,0.8070384,0.005017449,0.001556096,0.1705702,0.001279717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1022715,0.0542256,0.7810193,0.04825906,0.002099182,0.00948548,0.00001390227,0.0007258825,0.001900095],"genre_scores_gemma":[0.9247252,0.0230618,0.04546491,0.004789323,0.00008942396,0.0009865303,0.00001094244,0.00003247385,0.0008394358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8224536,"threshold_uncertainty_score":0.9999768,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1981846742","doi":"10.1145/1639562.1639593","title":"State-dependent response times via fluid limits in shortest remaining processing time queues","year":2009,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Queue; Computer science; Response time; State (computer science); Stochastic game; State dependent; Distributed computing; Mathematics; Computer network; Algorithm; Mathematical economics; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.03951894786836854,"gpt":0.3169504843133987,"spread":0.2774315364450302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01393829,0.0003468677,0.0006187042,0.001457323,0.0002686033,0.0002117461,0.000656645,0.00008065991,0.0007266429],"category_scores_gemma":[0.01149018,0.0003263487,0.0001170609,0.005811037,0.00003941568,0.002877408,0.0001325222,0.0002858074,0.0009160841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002825519,"about_ca_system_score_gemma":0.0001247802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007021386,"about_ca_topic_score_gemma":0.000005282805,"domain_scores_codex":[0.9964831,0.0002293972,0.001024359,0.0005772021,0.001214088,0.0004718574],"domain_scores_gemma":[0.9972282,0.0003948609,0.000718257,0.000782409,0.0008469971,0.00002926612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002077725,0.0001311645,0.002487831,0.0007743909,0.00002067228,0.000009053656,0.00006122692,0.0172818,0.001114077,0.00007658047,0.0006272455,0.9772082],"study_design_scores_gemma":[0.001170192,0.0001379934,0.02138097,0.007117948,0.0006855489,0.00001081144,0.0000451716,0.952492,0.0005060294,0.004631137,0.01068737,0.001134832],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805851,0.1008053,0.001949329,0.00451801,0.0002358804,0.002798796,0.000002578241,0.0005623514,0.008542554],"genre_scores_gemma":[0.9847369,0.008960218,0.001007884,0.0044039,0.0002172127,0.00008278083,0.00007095792,0.00004414513,0.0004759823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9760733,"threshold_uncertainty_score":0.9999189,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4243404667","doi":"10.1145/2637364.2592009","title":"Non-intrusive, out-of-band and out-of-the-box systems monitoring in the cloud","year":2014,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Cloud computing; Virtualization; Computer science; Provisioning; Analytics; Virtual machine; Scope (computer science); Context (archaeology); Installation; Distributed computing; Embedded system; Operating system; Data science","retraction":null,"screen_n_in":null,"score":{"opus":0.05329666552668606,"gpt":0.3111149393302374,"spread":0.2578182738035513,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007866915,0.0001437851,0.0003349638,0.0001945239,0.0001321478,0.00006691899,0.001561987,0.00004209422,0.000001502549],"category_scores_gemma":[0.001351114,0.00008647588,0.00007612997,0.001635358,0.00004749681,0.00005696399,0.0004269252,0.0001711301,0.00000826434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004896938,"about_ca_system_score_gemma":0.0000449593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001236917,"about_ca_topic_score_gemma":9.881857e-7,"domain_scores_codex":[0.9975075,0.0003912593,0.0006186774,0.0002759215,0.001011995,0.000194677],"domain_scores_gemma":[0.997444,0.0005295732,0.00049789,0.001234944,0.0002631457,0.00003049448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003151031,0.00008569245,0.05449335,0.004706852,0.00003630987,4.122869e-7,0.002603725,0.01090874,0.00005165052,0.001029627,0.0009145959,0.9251659],"study_design_scores_gemma":[0.001148331,0.0002967345,0.1112121,0.01066274,0.0002284176,0.000005622891,0.000154408,0.8458574,0.0007662902,0.00029279,0.0289258,0.0004494103],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9080281,0.06512026,0.01548048,0.001607318,0.005357574,0.002308888,6.45829e-7,0.00003300913,0.002063683],"genre_scores_gemma":[0.9925637,0.006167022,0.0008406233,0.0001588535,0.0001726653,0.00004799216,4.906064e-7,0.00000640188,0.00004229699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9247165,"threshold_uncertainty_score":0.3526384,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078334880","doi":"10.1145/2425248.2425258","title":"On the impact of storage in residential power distribution systems","year":2012,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Sizing; Smart grid; Testbed; Reliability engineering; Upgrade; Computer science; Distribution transformer; Energy storage; Grid; Distributed generation; Transformer; Computer data storage; Probabilistic logic; Distributed data store; Electrical engineering; Distributed computing; Engineering; Power (physics); Computer network; Renewable energy","retraction":null,"screen_n_in":null,"score":{"opus":0.06035920257156212,"gpt":0.3450038469818703,"spread":0.2846446444103082,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004090711,0.000112991,0.0002056524,0.0001705414,0.00004659067,0.00001419658,0.0003695986,0.00004294817,0.0002118004],"category_scores_gemma":[0.002083842,0.00007587261,0.00008251907,0.001551508,0.00001634487,0.0002714252,0.00005132382,0.0001794252,0.0000693611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000310356,"about_ca_system_score_gemma":0.00004333191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001576204,"about_ca_topic_score_gemma":5.028834e-7,"domain_scores_codex":[0.9987106,0.0002031317,0.0004314493,0.00006906085,0.0004031313,0.000182569],"domain_scores_gemma":[0.9984189,0.0003612748,0.0001222566,0.0008861098,0.0001717483,0.00003968511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006930817,0.001168752,0.1042668,0.006021901,0.0004072102,7.696787e-7,0.001014999,0.4797264,0.0007255868,0.008487941,0.2410436,0.1570668],"study_design_scores_gemma":[0.0006135405,0.0001906541,0.6851617,0.003771668,0.0001437065,0.000005589714,0.00002937439,0.3020783,0.0002379686,0.00006257425,0.00730584,0.0003991457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8494356,0.1481602,0.000271849,0.00006571905,0.0002872346,0.0007234135,0.0000203987,0.00002579721,0.001009778],"genre_scores_gemma":[0.9471412,0.05260542,0.00001652161,0.00001444428,0.00002754242,0.0001057467,0.00007156534,0.00001067435,0.000006935337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5808948,"threshold_uncertainty_score":0.3093995,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3135701632","doi":"10.1145/3453953.3453966","title":"Incentive Analysis of Bitcoin-NG, Revisited","year":2021,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"Incentive; Blockchain; Cryptocurrency; Computer science; Database transaction; Leverage (statistics); Computer security; Serialization; Key (lock); Microeconomics; Economics; Database; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04416043044587784,"gpt":0.3336220527917447,"spread":0.2894616223458668,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002947285,0.0001349703,0.0005334936,0.0008896308,0.0001175823,0.00002876315,0.001183655,0.00009403841,0.0002624583],"category_scores_gemma":[0.002735024,0.0001271608,0.0002033325,0.0246964,0.0000503496,0.0002794695,0.0004773747,0.0001759905,0.00004522648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008529905,"about_ca_system_score_gemma":0.0002147105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002920146,"about_ca_topic_score_gemma":0.000002327462,"domain_scores_codex":[0.9977217,0.0002189147,0.0006549338,0.0004646156,0.0007552017,0.000184575],"domain_scores_gemma":[0.9953133,0.0002664758,0.0004630121,0.00216585,0.001741892,0.00004945424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000110949,0.0001965389,0.01874046,0.0007344637,0.0005261673,0.000001590808,0.00009792643,0.0002225579,0.0001330592,0.02677013,0.001769619,0.9508064],"study_design_scores_gemma":[0.0005890368,0.0001048277,0.1264704,0.001178907,0.00380306,0.00001017602,0.0000215512,0.8226633,0.006661392,0.002900699,0.03502961,0.0005670058],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.223379,0.5318659,0.2325577,0.006387061,0.0002784462,0.001947892,0.00002898454,0.0003194245,0.003235581],"genre_scores_gemma":[0.7726979,0.1939375,0.03161616,0.001391182,0.00001498518,0.0001580096,0.0001280602,0.000007181754,0.00004910172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9502394,"threshold_uncertainty_score":0.9960341,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4234468666","doi":"10.1145/345063.339418","title":"AMVA techniques for high service time variability","year":2000,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Queue; Range (aeronautics); Fork–join queue; Service (business); Queueing theory; Residual; Algorithm; Computer network; Queue management system; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0372671531187778,"gpt":0.3089885199601545,"spread":0.2717213668413767,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009152749,0.0002490067,0.0004735376,0.0003681442,0.0002782909,0.00009986365,0.0006936861,0.0000847007,0.009142586],"category_scores_gemma":[0.005622659,0.0002264402,0.0001389696,0.004380971,0.00003064639,0.001723883,0.0001209098,0.0001366174,0.001958521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301321,"about_ca_system_score_gemma":0.00004787045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002109042,"about_ca_topic_score_gemma":0.000002035653,"domain_scores_codex":[0.99783,0.00008433827,0.0006556134,0.0004680293,0.0006626641,0.0002993847],"domain_scores_gemma":[0.9966767,0.0004444988,0.000412219,0.001080837,0.001368592,0.00001718622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002801129,0.00007246547,0.0003648368,0.002864968,0.00003508651,1.353962e-7,0.000004495406,0.0007147581,0.00003941662,0.001515391,0.003433294,0.9909272],"study_design_scores_gemma":[0.000899211,0.00006025391,0.002586512,0.00232212,0.002351893,0.000002389716,0.000004996224,0.3100815,0.0003590017,0.04570687,0.634576,0.001049179],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.729057,0.05014213,0.0235177,0.03509576,0.001389816,0.03061962,0.00008269641,0.004344998,0.1257503],"genre_scores_gemma":[0.8045761,0.0493055,0.0502869,0.08174176,0.003913241,0.004425338,0.00210652,0.000273299,0.003371329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9898779,"threshold_uncertainty_score":0.9988186,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210744263","doi":"10.1145/384268.378788","title":"Controlling the robots of Web search engines","year":2001,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Robot; Queueing theory; Queue; Search engine indexing; Function (biology); Distributed computing; Mathematical optimization; Computer network; Artificial intelligence; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.07701152118727869,"gpt":0.3322626155373008,"spread":0.2552510943500221,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007857068,0.0001663008,0.0003874309,0.0005050345,0.0002212457,0.00006174348,0.000682898,0.00003945184,0.0007972658],"category_scores_gemma":[0.006579752,0.0001140285,0.0001518128,0.005100194,0.00005855433,0.0009517884,0.0001734891,0.0001672926,0.0002703387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004780921,"about_ca_system_score_gemma":0.00004997065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001167324,"about_ca_topic_score_gemma":0.00000367743,"domain_scores_codex":[0.9979134,0.00008447963,0.0005791045,0.0002307207,0.0009482247,0.0002441149],"domain_scores_gemma":[0.9970995,0.0004908587,0.0004545626,0.0007781463,0.001166291,0.00001064471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004492951,0.00009267278,0.01879167,0.002935583,0.0001412332,0.000001470873,0.00002728513,0.181888,0.0003129055,0.005664859,0.001330034,0.7887693],"study_design_scores_gemma":[0.0007381489,0.0000176298,0.003270227,0.001387657,0.0009318965,0.000003214908,0.00004099873,0.9390947,0.0000803972,0.001211568,0.05294455,0.0002789927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7374016,0.2291555,0.006470942,0.007748147,0.0007042859,0.003144798,0.000002564791,0.0002146334,0.0151576],"genre_scores_gemma":[0.9338644,0.06312603,0.0003771794,0.001979573,0.0004050278,0.00007652401,0.00002512914,0.00002081838,0.0001253209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7884904,"threshold_uncertainty_score":0.8729502,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1988918096","doi":"10.1145/1453175.1453177","title":"Image management in a virtualized data center","year":2008,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Virtualization; Provisioning; Scalability; Computer science; Data center; Workload; Cloud computing; Virtual machine; Protocol (science); Big data; Distributed computing; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.1260072819478586,"gpt":0.3542429674481224,"spread":0.2282356855002638,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004965349,0.0002007044,0.0003268777,0.0005742414,0.000171461,0.00006506545,0.003764986,0.00003512029,0.00007274521],"category_scores_gemma":[0.0007012272,0.0001754266,0.00006438836,0.003690475,0.00003612699,0.0002441349,0.002982422,0.0001727109,0.0003538653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001463393,"about_ca_system_score_gemma":0.0000593972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005813987,"about_ca_topic_score_gemma":9.056984e-7,"domain_scores_codex":[0.9966804,0.0002745481,0.0006549583,0.0007215643,0.001314864,0.0003536962],"domain_scores_gemma":[0.9959605,0.0001318792,0.0002296031,0.003436402,0.0001691357,0.00007250235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003228622,0.0001976101,0.002138439,0.0008566112,0.00003614655,0.00002741767,0.000125029,0.0004105764,0.000001669969,0.0003040815,0.02005983,0.9758394],"study_design_scores_gemma":[0.001441571,0.00005486263,0.02002996,0.001276546,0.00005506804,0.00003343842,0.000008825076,0.8761814,0.000005686612,0.00007989392,0.1004995,0.0003332793],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4722169,0.2700587,0.134422,0.01838705,0.003580291,0.01380073,0.0000205979,0.001291605,0.08622218],"genre_scores_gemma":[0.3846393,0.3510006,0.25236,0.009764517,0.000229432,0.0004233527,0.0002218723,0.00005869969,0.001302256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9755061,"threshold_uncertainty_score":0.7153691,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399687987","doi":"10.1145/3673660.3655042","title":"A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs","year":2024,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Phishing; Malware; Computer science; Computer security; Classifier (UML); World Wide Web; The Internet; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.07357319126989516,"gpt":0.351201693127919,"spread":0.2776285018580238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005571362,0.0001269815,0.0002241813,0.0003983135,0.0001347771,0.0001758581,0.000217726,0.00004913481,0.00001957489],"category_scores_gemma":[0.001329265,0.0001096882,0.00003740027,0.001942438,0.00001880654,0.0008993977,0.0001595066,0.0001686566,0.00001329966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006728133,"about_ca_system_score_gemma":0.00007119499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004062535,"about_ca_topic_score_gemma":0.000003125177,"domain_scores_codex":[0.9979996,0.0001660372,0.000467004,0.0004702798,0.0007642193,0.0001328234],"domain_scores_gemma":[0.9986176,0.0002304596,0.0002123244,0.0006624525,0.0002240212,0.00005307166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000417894,0.0001217589,0.01701869,0.001700148,0.00002546954,0.000004419792,0.001378737,0.00002275117,0.0001844509,0.0002924546,0.0007890252,0.9784579],"study_design_scores_gemma":[0.0005752367,0.001190342,0.4386463,0.00497859,0.0003627034,0.0001427157,0.0001566345,0.5409532,0.0004357791,0.0006956156,0.01139056,0.0004723272],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197604,0.07270554,0.004841359,0.000528361,0.0005933405,0.001136999,0.00000220516,0.0001010755,0.0003307351],"genre_scores_gemma":[0.9825252,0.01631556,0.0008474423,0.0001430767,0.00004546043,0.00008229868,0.000005886936,0.000008712721,0.00002633837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9779856,"threshold_uncertainty_score":0.4472953,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2529822314","doi":"10.1145/3003977.3004002","title":"Boosting Service Availability for Base Stations of Cellular Networks by Event-driven Battery Profiling","year":2016,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Backup; Base station; Computer science; Battery (electricity); Reliability engineering; IT service continuity; Computer network; Engineering; Power (physics); Database","retraction":null,"screen_n_in":null,"score":{"opus":0.05698932201452635,"gpt":0.3178577480223783,"spread":0.260868426007852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008232173,0.0002555206,0.0005154241,0.0002064428,0.0002453925,0.00004222449,0.001222497,0.0001150439,0.00008229511],"category_scores_gemma":[0.005167537,0.0001794693,0.0001703772,0.002459422,0.00004873233,0.001255937,0.0002801089,0.0001312246,0.00005166321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002372645,"about_ca_system_score_gemma":0.0003642841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006606049,"about_ca_topic_score_gemma":0.000001397791,"domain_scores_codex":[0.9963366,0.0003509514,0.001297577,0.0006493656,0.0009482817,0.0004172518],"domain_scores_gemma":[0.993414,0.001689734,0.0008226266,0.001718338,0.00223884,0.0001163988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002338596,0.0002876009,0.103124,0.01344699,0.00008501048,2.900615e-7,0.0001741063,0.005838031,0.004324524,0.0001591954,0.008846203,0.8636907],"study_design_scores_gemma":[0.001478308,0.000319316,0.005688116,0.005331319,0.0002207922,0.000003835074,0.00001506721,0.9704329,0.01158095,0.0002165576,0.004108571,0.0006042628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1189407,0.02438981,0.8504648,0.001917562,0.0006629176,0.003414465,0.00004133943,0.0001268855,0.00004156341],"genre_scores_gemma":[0.9421602,0.01567646,0.03976564,0.001107848,0.0001254325,0.0009585517,0.0001192303,0.00002908773,0.0000575414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9645949,"threshold_uncertainty_score":0.7318546,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2616626961","doi":"10.1145/384268.378836","title":"Online prediction of the running time of tasks","year":2001,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"Computer science; Running time; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.07124270300972026,"gpt":0.3028269319459966,"spread":0.2315842289362764,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002721182,0.0000983741,0.0002892843,0.0001893498,0.00009736545,0.00001503704,0.0009684773,0.00003578613,0.0002380686],"category_scores_gemma":[0.001536755,0.00006701117,0.0001421417,0.004312554,0.0000355936,0.0004237721,0.0002910075,0.0001016969,0.0000149594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000427103,"about_ca_system_score_gemma":0.00009517192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006427726,"about_ca_topic_score_gemma":7.384492e-7,"domain_scores_codex":[0.9980223,0.00009752161,0.0006672352,0.0001906848,0.0008887918,0.0001334879],"domain_scores_gemma":[0.997561,0.000107721,0.0006781494,0.0009620604,0.0006629229,0.0000281657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001831768,0.00008213421,0.01993038,0.0004525009,0.00003405785,9.976237e-8,0.00009535319,0.002557191,0.0002513171,0.0001349297,0.0008267605,0.9756334],"study_design_scores_gemma":[0.0002085954,0.0001126603,0.09285431,0.001552109,0.0001845561,0.000008818715,0.000008853765,0.898098,0.0004597339,0.00006021586,0.006358047,0.00009411685],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8333266,0.1308619,0.02701857,0.002198966,0.0006702466,0.001774787,0.00002674099,0.0001021041,0.004020052],"genre_scores_gemma":[0.931536,0.05545152,0.01222797,0.0003624499,0.00007970211,0.00002154921,0.00003730118,0.00001099904,0.0002725713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9755393,"threshold_uncertainty_score":0.2732636,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994726942","doi":"10.1145/1870178.1870182","title":"On random walks in direction-aware network problems","year":2010,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Laplacian matrix; Random walk; Computer science; Link (geometry); Theoretical computer science; Random graph; Graph; Undirected graph; Mathematics; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.03067001312172285,"gpt":0.3260838846842447,"spread":0.2954138715625219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004419857,0.0002291934,0.0004869736,0.0003361298,0.00016235,0.00004920521,0.0004399872,0.00005843236,0.002844584],"category_scores_gemma":[0.0004435833,0.0002007056,0.0001733424,0.003394849,0.00002689968,0.0002174564,0.00009822763,0.0005518709,0.0001419181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006828307,"about_ca_system_score_gemma":0.00009270661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003975669,"about_ca_topic_score_gemma":0.00003221727,"domain_scores_codex":[0.9977551,0.0002038776,0.0006627863,0.0003764229,0.0006747025,0.0003270908],"domain_scores_gemma":[0.9978794,0.0004837832,0.0003346494,0.0008882152,0.0003458808,0.00006809348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001050736,0.0001304812,0.08533599,0.0001958058,0.00004214996,1.411089e-7,0.00001996422,0.005892077,0.0000173042,0.00119722,0.01419931,0.8929591],"study_design_scores_gemma":[0.005494676,0.0004199151,0.1292408,0.008591432,0.001054799,0.000003821187,0.00001557729,0.5936843,0.0003390511,0.03529995,0.2238578,0.00199792],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8603993,0.05123803,0.01258533,0.002104423,0.002638033,0.01203766,0.00001868422,0.000567622,0.05841092],"genre_scores_gemma":[0.9897224,0.007557608,0.0009692119,0.0003010706,0.0004345088,0.000740389,0.0001312947,0.00002444052,0.0001191307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8909611,"threshold_uncertainty_score":0.998067,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029787843","doi":"10.1145/2160803.2160823","title":"Tracking adaptive performance models using dynamic clustering of user classes (abstracts only)","year":2011,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Carleton University; York University","funders":"","keywords":"Cluster analysis; Computer science; Estimator; Data mining; Tracking (education); Class (philosophy); Filter (signal processing); Software; Artificial intelligence; Machine learning; Real-time computing; Computer vision; Mathematics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.1916283713348196,"gpt":0.3420866543612551,"spread":0.1504582830264355,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005728468,0.0004057394,0.0007599741,0.0006312276,0.0002718375,0.00006066159,0.001867826,0.0001774279,0.0000687135],"category_scores_gemma":[0.0008986693,0.0003500732,0.000214557,0.003229107,0.00009950541,0.004273014,0.0005238486,0.0003626967,0.0000451044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003844746,"about_ca_system_score_gemma":0.0006701329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004197312,"about_ca_topic_score_gemma":0.000007443992,"domain_scores_codex":[0.9953384,0.0002559258,0.001579221,0.0007150398,0.001554685,0.0005567045],"domain_scores_gemma":[0.9950063,0.0002617158,0.001137008,0.001914994,0.001541197,0.0001388254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003548006,0.0002678008,0.02435603,0.006962276,0.00009833649,0.000002209144,0.001171344,0.05802789,0.0001048581,0.0001846111,0.0000630217,0.9087262],"study_design_scores_gemma":[0.0004069064,0.0002609503,0.06256296,0.004111743,0.0001444596,0.00004501649,0.0000298429,0.9310669,0.0006850433,0.0001433933,0.0001146983,0.0004280536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7872918,0.02353528,0.1850265,0.00004159082,0.0009035741,0.001726894,0.000004204468,0.000178815,0.001291343],"genre_scores_gemma":[0.896797,0.03454795,0.06833207,0.000162371,0.00003620701,0.00006719445,0.000007415891,0.00002791691,0.00002183886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9082981,"threshold_uncertainty_score":0.9998952,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3188564586","doi":"10.1145/2796314.2745884","title":"Pricing Bilateral Electricity Trade between Smart Grids and Hybrid Green Datacenters","year":2015,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Computer science; Smart grid; Distributed generation; Scalability; Cloud computing; Mathematical optimization; Distributed computing; Robustness (evolution); Dynamic pricing; Electricity; Grid; Linearization; Nash equilibrium; Nonlinear system; Renewable energy; Engineering; Economics; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.07899523997553501,"gpt":0.2913578760726048,"spread":0.2123626360970698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003238561,0.0002695148,0.0004118401,0.0004618333,0.00007703784,0.00005703149,0.0004250795,0.00004743637,0.0000396993],"category_scores_gemma":[0.0008371932,0.0002552932,0.00005495791,0.001718731,0.00002457516,0.0006392802,0.0001636105,0.0002231624,0.00005295978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974063,"about_ca_system_score_gemma":0.00004890673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002337815,"about_ca_topic_score_gemma":0.000003587715,"domain_scores_codex":[0.9977165,0.0001166592,0.0005564257,0.0003256746,0.0009066092,0.0003781477],"domain_scores_gemma":[0.9987871,0.0001420575,0.0001114308,0.0006811952,0.00008876915,0.0001894544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005056899,0.00002314667,0.08681214,0.002336154,0.0001469151,0.000002120816,0.00006526824,0.00978,0.00001238461,0.0000131557,0.02788957,0.8729141],"study_design_scores_gemma":[0.002016245,0.0003203715,0.162397,0.001651323,0.001077232,0.00003117623,0.00001621831,0.4654739,0.001261498,0.0001252917,0.3644471,0.001182629],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8858005,0.1006572,0.006124525,0.0009606641,0.001131016,0.001848778,0.00001759255,0.0004867103,0.002973054],"genre_scores_gemma":[0.8978536,0.1000598,0.0008469663,0.0005347317,0.0002573561,0.0001038052,0.0002590549,0.00004916335,0.00003558055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8717315,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2069919236","doi":"10.1145/2185395.2185398","title":"Sharp utilization thresholds for some realtime scheduling problems","year":2012,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Aperiodic graph; Workload; Scheduling (production processes); Power consumption; Schedule; Real-time computing; Context switch; Distributed computing; Embedded system; Power (physics); Mathematical optimization; Operating system; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.2117957622850598,"gpt":0.3839978270312978,"spread":0.1722020647462379,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01457685,0.0003240012,0.0005426026,0.0005438758,0.0003486817,0.0002174121,0.00156871,0.0001263506,0.00007521335],"category_scores_gemma":[0.005054066,0.0002928481,0.0001778261,0.003271319,0.00002672458,0.005337048,0.0003484257,0.0002068407,0.0003708146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003092607,"about_ca_system_score_gemma":0.0002972296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005559682,"about_ca_topic_score_gemma":3.971485e-7,"domain_scores_codex":[0.9957432,0.0002769775,0.001127824,0.0006011096,0.001505603,0.0007452487],"domain_scores_gemma":[0.9957564,0.0004811395,0.0007657021,0.001737934,0.001027716,0.0002311423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004870843,0.0001707407,0.01015629,0.007258707,0.00006163726,2.040558e-7,0.0003549123,0.005069948,0.0002738269,0.0123573,0.002237312,0.9620543],"study_design_scores_gemma":[0.0008630287,0.0001751127,0.005057427,0.003802723,0.0001956722,0.00003456088,0.00001093535,0.9663069,0.001024899,0.000999182,0.02085518,0.0006744027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03502572,0.4880033,0.4608473,0.002041925,0.002668536,0.009188783,0.000007296641,0.0005307419,0.001686408],"genre_scores_gemma":[0.7279027,0.08811738,0.1791834,0.001589063,0.0008525848,0.001950562,0.0001693906,0.00007365367,0.0001613072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9613798,"threshold_uncertainty_score":0.9999524,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2295082115","doi":"10.1145/2847220.2847234","title":"The Ignite Distributed Collaborative Visualization System","year":2015,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Remote Desktop Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Visualization; Computer science; Data science; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.07316597850693313,"gpt":0.3415475716628705,"spread":0.2683815931559373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007035844,0.0001770004,0.0002614244,0.0001846053,0.0004540949,0.0002575377,0.001775441,0.00007998172,0.0000012631],"category_scores_gemma":[0.008193769,0.0001146001,0.00005664443,0.007232945,0.00006164569,0.0003295517,0.0004955611,0.0001540535,0.0001184647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003827492,"about_ca_system_score_gemma":0.0004170194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002706533,"about_ca_topic_score_gemma":6.39733e-7,"domain_scores_codex":[0.9971596,0.0004170379,0.0005462054,0.0003492344,0.001253545,0.0002743798],"domain_scores_gemma":[0.9951807,0.0004769337,0.0004427347,0.001384801,0.002430835,0.0000839832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003136802,0.00002581028,0.0004364019,0.0003992164,0.00002550977,0.000001043352,0.0001155045,0.001191315,0.000004691723,0.01361387,0.01548749,0.968696],"study_design_scores_gemma":[0.0004415137,0.0001752274,0.001317038,0.001175945,0.0000667879,0.000021155,0.0001654472,0.9374545,0.0003068259,0.0005934472,0.05801314,0.0002689863],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0341384,0.3772359,0.5673714,0.008323763,0.003578358,0.004301204,0.00001310909,0.002313676,0.002724137],"genre_scores_gemma":[0.9313799,0.05773785,0.009917528,0.0004765758,0.0001265243,0.0001694338,0.00008054199,0.00001950731,0.00009218485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.968427,"threshold_uncertainty_score":0.98093,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3043759368","doi":"10.1145/2964791.2901493","title":"Towards Multi-Resource Fair Allocation with Placement Constraints","year":2016,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Isolation (microbiology); Shared resource; Distributed computing; Resource allocation; Task (project management); Resource (disambiguation); Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.06012952846928886,"gpt":0.3107476963764201,"spread":0.2506181679071313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004156826,0.0002434199,0.0002918512,0.0003163578,0.0001991864,0.00008590296,0.001377415,0.00004953196,0.0001256134],"category_scores_gemma":[0.001073188,0.0001454889,0.00007511539,0.001876758,0.00008757637,0.0001344226,0.000491856,0.000108979,0.0002457923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002783772,"about_ca_system_score_gemma":0.0002032284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002778884,"about_ca_topic_score_gemma":9.227824e-7,"domain_scores_codex":[0.9968383,0.0002380379,0.0005159294,0.0005834069,0.001464033,0.0003602876],"domain_scores_gemma":[0.9974049,0.0002219186,0.0003611895,0.001393809,0.000498374,0.0001198504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003155061,0.00006592613,0.0006337586,0.0002917549,0.00003136397,9.915863e-7,0.00006936754,0.001507974,0.00001553069,0.0004315117,0.001727418,0.9952213],"study_design_scores_gemma":[0.006580787,0.001151162,0.03300637,0.01338724,0.0004301433,0.00007164857,0.00007778155,0.7700476,0.001379188,0.0001337632,0.1720854,0.001648838],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05630405,0.02101526,0.9007289,0.01354026,0.0004007323,0.002879314,0.00000275348,0.0004411918,0.00468755],"genre_scores_gemma":[0.9323089,0.009014305,0.05451058,0.002965736,0.0001054929,0.0002874215,0.0000115745,0.00002670087,0.0007693275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9935724,"threshold_uncertainty_score":0.5932866,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125717888","doi":"10.1145/2695533.2695546","title":"Network Security and Contagion","year":2014,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Presumption; Order (exchange); Externality; Convexity; Aggregate (composite); Investment (military); Microeconomics; Computer science; Economics; Financial economics","retraction":null,"screen_n_in":null,"score":{"opus":0.03086801783429692,"gpt":0.3232586146034254,"spread":0.2923905967691284,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002491802,0.000119086,0.0002421615,0.00004926279,0.0001873817,0.00004187532,0.0001771874,0.00003207934,0.0002886455],"category_scores_gemma":[0.0003005844,0.0001093853,0.00004999395,0.000640802,0.0000340177,0.0001985713,0.00008723741,0.0001329975,0.00005323358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002486443,"about_ca_system_score_gemma":0.00004496964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000169984,"about_ca_topic_score_gemma":6.093206e-7,"domain_scores_codex":[0.9988245,0.0001444325,0.0002995299,0.0002004361,0.0003464198,0.0001847239],"domain_scores_gemma":[0.9989619,0.0001765822,0.0001880382,0.0003371478,0.0002684031,0.00006795236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002268639,0.00002955073,0.2101443,0.0003525265,0.00002103545,2.440131e-8,0.00007669876,0.0002440714,0.000001451415,0.0260771,0.004843532,0.7582074],"study_design_scores_gemma":[0.002066401,0.0003494815,0.2065267,0.003540201,0.0005178305,0.000002122229,0.00006492587,0.4235829,0.00002640945,0.09954604,0.2625369,0.001240173],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8983782,0.05953938,0.003686988,0.00223758,0.001000142,0.002000784,0.00001409578,0.00007121552,0.03307163],"genre_scores_gemma":[0.9860054,0.01202121,0.0003863182,0.001101509,0.0003201205,0.00006502121,0.00005316789,0.000008857683,0.00003834373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7569672,"threshold_uncertainty_score":0.4460604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281650425","doi":"10.1145/3543516.3453921","title":"A Look Behind the Curtain: Traffic Classification in an Increasingly Encrypted Web","year":2021,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Encryption; Traffic classification; Convolutional neural network; Feature engineering; Provisioning; Data mining; The Internet; Robustness (evolution); Artificial intelligence; Computer network; Machine learning; Computer security; Deep learning; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.07826196662841482,"gpt":0.3343206018691448,"spread":0.2560586352407299,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007388272,0.0002086234,0.0003684005,0.0003669315,0.0002106541,0.0002733914,0.001499556,0.00008829243,0.000182449],"category_scores_gemma":[0.003135659,0.0001579939,0.0001364622,0.00415851,0.00004047902,0.0009786438,0.0002011195,0.0003603151,0.0001094528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002123262,"about_ca_system_score_gemma":0.0006073258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002764411,"about_ca_topic_score_gemma":0.00008200538,"domain_scores_codex":[0.9960755,0.0009630246,0.0008420346,0.0006006776,0.001198602,0.0003201375],"domain_scores_gemma":[0.9969759,0.0004082187,0.0003906545,0.001099548,0.001043634,0.000082046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003490592,0.0002148572,0.001927372,0.0002994614,0.00003104957,0.000005752646,0.001078286,0.009962663,0.00005676752,0.007528131,0.0007852899,0.9781069],"study_design_scores_gemma":[0.0002893349,0.00005820931,0.009324791,0.0006304337,0.0000916946,0.00001719194,0.00008960172,0.9860483,0.00002460102,0.00001272293,0.003212437,0.0002006527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919472,0.06402685,0.01086001,0.003624016,0.0003637246,0.0009162322,0.000001489257,0.0001057637,0.0006298681],"genre_scores_gemma":[0.9746239,0.02060716,0.003034667,0.001467362,0.00008474269,0.00006658461,0.00006399025,0.00001158192,0.00003997035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9779062,"threshold_uncertainty_score":0.6442804,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3094768887","doi":"10.1145/384268.378799","title":"Automation support for software performance engineering","year":2001,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; Nortel (Canada)","funders":"","keywords":"Computer science; Software; Automation; Set (abstract data type); Software system; Heuristic; Software engineering; Embedded software; Distributed computing; Embedded system; Operating system; Programming language; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.06148041236818427,"gpt":0.3211865626435007,"spread":0.2597061502753164,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00672171,0.0002906261,0.0004561635,0.00056081,0.0002339199,0.0001877538,0.00146317,0.0001050391,0.0001106551],"category_scores_gemma":[0.005074122,0.000277963,0.0001508677,0.003321186,0.00001350258,0.002635236,0.0002223918,0.0001726041,0.0003655211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003077374,"about_ca_system_score_gemma":0.0003111901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002106259,"about_ca_topic_score_gemma":2.573233e-7,"domain_scores_codex":[0.996617,0.00009378524,0.0009345053,0.0005637371,0.001289601,0.0005013439],"domain_scores_gemma":[0.9964434,0.0004467386,0.0004782707,0.001461873,0.001037418,0.0001322909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003026208,0.00003216206,0.005221541,0.003237132,0.00002459473,7.930852e-7,0.00007423842,0.01064542,0.00006482381,0.0002082619,0.001715551,0.9787725],"study_design_scores_gemma":[0.0004984951,0.000188335,0.01438493,0.001604935,0.00007485923,0.00006590319,0.000002273378,0.9521744,0.0003500186,0.00002951722,0.03023765,0.000388749],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08409137,0.02437164,0.8837611,0.0007389219,0.001501879,0.004053205,0.000003176814,0.0007664847,0.0007122167],"genre_scores_gemma":[0.4547568,0.06659606,0.4744942,0.001129803,0.0004243756,0.001934636,0.0001608096,0.00007943207,0.0004239034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9783837,"threshold_uncertainty_score":0.9999673,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2296157071","doi":"10.1145/2494232.2465539","title":"Temperature aware workload management in geo-distributed datacenters","year":2013,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Workload; Energy consumption; Distributed computing; Efficient energy use; Overhead (engineering); Convergence (economics); Real-time computing; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.03530879361817096,"gpt":0.295689719069629,"spread":0.260380925451458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002743432,0.000261101,0.0003365118,0.0005400507,0.0001646516,0.0002555905,0.002144669,0.00006828237,0.0001526152],"category_scores_gemma":[0.0003685034,0.000221899,0.00009091417,0.005014705,0.00002247887,0.0002526344,0.001190418,0.0002895828,0.0005433421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762842,"about_ca_system_score_gemma":0.00004716193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001454711,"about_ca_topic_score_gemma":0.000001245039,"domain_scores_codex":[0.9968317,0.000233914,0.0006515478,0.0006397169,0.001179743,0.0004634271],"domain_scores_gemma":[0.9974003,0.0001171,0.0002426895,0.001825889,0.000306889,0.0001070673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000112221,0.00009099647,0.002395149,0.0009428489,0.00003504822,0.000004459244,0.0000410682,0.005784103,0.000002486783,0.0001367247,0.0270794,0.9634866],"study_design_scores_gemma":[0.001473279,0.0001078731,0.1210899,0.006879715,0.0001255555,0.00001154871,0.00006713391,0.8120112,0.00002929749,0.0002609208,0.05717432,0.0007692389],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6740957,0.2458329,0.02567612,0.02818457,0.002855409,0.01476292,0.00001502862,0.0009526022,0.007624701],"genre_scores_gemma":[0.8946277,0.08317077,0.01401246,0.006315786,0.0001303779,0.0009254349,0.0001707734,0.00003288236,0.0006138513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9627174,"threshold_uncertainty_score":0.9048777,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4240177344","doi":"10.1145/1012888.1005727","title":"A mean-field analysis of short lived interacting TCP flows","year":2004,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Transmission (telecommunications); Limit (mathematics); File size; Flow (mathematics); Download; Transmission rate; Mathematics; Computer science; Statistics; Mathematical analysis; Geometry; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.06680602776336374,"gpt":0.3419884525296635,"spread":0.2751824247662998,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00358751,0.0001752788,0.0005534771,0.0007777841,0.0001045349,0.00005904664,0.001133322,0.00006343141,0.0001735123],"category_scores_gemma":[0.002839059,0.0001549969,0.0002674347,0.007743919,0.00001422912,0.0006700234,0.0001932662,0.0002020965,0.00004909952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001274727,"about_ca_system_score_gemma":0.0002124573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001023958,"about_ca_topic_score_gemma":0.00001371042,"domain_scores_codex":[0.9973865,0.0001535454,0.0007967955,0.0003932561,0.001032047,0.0002378257],"domain_scores_gemma":[0.9969159,0.0006986377,0.0003515923,0.00111288,0.0008353523,0.00008559911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003595752,0.00004792418,0.001130905,0.000139397,0.0002268312,6.467694e-7,0.0001659077,0.02733637,0.00002055474,0.0005282091,0.0001373847,0.9702623],"study_design_scores_gemma":[0.0003886705,0.0001580505,0.003497771,0.00104975,0.001433741,0.000003610192,0.00001493932,0.9912532,0.0001971389,0.00006314301,0.001709838,0.0002301468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3358865,0.1042548,0.5517782,0.003137582,0.001050506,0.001644131,0.000002084811,0.0002130529,0.002033102],"genre_scores_gemma":[0.9545045,0.03126993,0.01281752,0.001235144,0.00005117996,0.00008476561,0.00001401617,0.00000677247,0.00001612975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9700321,"threshold_uncertainty_score":0.632059,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2992503655","doi":"10.1145/3374888.3374893","title":"Optimal Posted Prices for Online Resource Allocation with Supply Costs","year":2019,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Valuation (finance); Competitive analysis; Payment; Business; Bundle; Resource (disambiguation); Microeconomics; Environmental economics; Resource allocation; Total cost; Computer science; Industrial organization; Operations research; Economics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.05264609279333601,"gpt":0.3368921266299996,"spread":0.2842460338366636,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003348062,0.000188693,0.000298137,0.0003666063,0.0001396326,0.0001471231,0.001153051,0.00006268083,0.0001476141],"category_scores_gemma":[0.001229725,0.0001493464,0.00006265523,0.00302597,0.00002292586,0.00109744,0.0001812445,0.0001491278,0.0001417926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863513,"about_ca_system_score_gemma":0.0003318969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002872071,"about_ca_topic_score_gemma":0.000001849894,"domain_scores_codex":[0.9973823,0.00015043,0.0004879154,0.0004906827,0.001173744,0.0003148894],"domain_scores_gemma":[0.9965591,0.0004032134,0.0003534765,0.001079384,0.001499187,0.00010564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003793363,0.0002049923,0.003145764,0.00191668,0.00004579787,2.944415e-7,0.0001528207,0.04278744,0.0000661296,0.002038575,0.0045928,0.9450108],"study_design_scores_gemma":[0.001240057,0.0007212945,0.005130769,0.001320293,0.00005585051,0.000008246975,0.00001350844,0.9328396,0.000143985,0.00001585253,0.05822518,0.0002853488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2095827,0.07596801,0.658677,0.02612848,0.0007334669,0.02418712,0.00004949304,0.0006747976,0.003998862],"genre_scores_gemma":[0.1561139,0.0570485,0.7759574,0.007256083,0.0001247372,0.0009472537,0.001331721,0.00006350032,0.001156881],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9447255,"threshold_uncertainty_score":0.6090171,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2022909420","doi":"10.1145/1710115.1710122","title":"Automatically generating bursty benchmarks for multitier systems","year":2010,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Burstiness; Computer science; Session (web analytics); Testbed; Throughput; Computer network; Distributed computing; Service (business); Sizing; Real-time computing; Operating system; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.03661292939629171,"gpt":0.3133400704935279,"spread":0.2767271410972362,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005973289,0.0002074784,0.0003729445,0.0001916342,0.0002970102,0.0002351678,0.001174756,0.0001127543,0.0001400899],"category_scores_gemma":[0.004486729,0.000175254,0.0001219315,0.001243439,0.00003092508,0.0006460688,0.0001339735,0.0002751233,0.00006698004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006055601,"about_ca_system_score_gemma":0.0002927778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000162809,"about_ca_topic_score_gemma":0.000001472973,"domain_scores_codex":[0.9974447,0.0001534888,0.0007133086,0.0004460529,0.0008870434,0.0003554045],"domain_scores_gemma":[0.9964166,0.0007968908,0.0003446277,0.001158259,0.001148565,0.0001350483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001113888,0.00002727944,0.0002614272,0.0005280318,0.00001655104,2.176475e-7,0.0000219474,0.002274107,0.00005062942,0.005805767,0.005831474,0.9851815],"study_design_scores_gemma":[0.0004847796,0.00007222799,0.000525138,0.0004567333,0.00008114402,0.000009706823,0.000002261112,0.9667393,0.00001693632,0.00007320073,0.03131418,0.0002243894],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04711859,0.06548374,0.8677501,0.003441887,0.007073605,0.006570206,0.000008940999,0.0004454144,0.002107498],"genre_scores_gemma":[0.77838,0.01150911,0.2044776,0.002377274,0.0008427206,0.00203694,0.00009277498,0.00002733905,0.0002562319],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.984957,"threshold_uncertainty_score":0.7146649,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399688013","doi":"10.1145/3673660.3655074","title":"Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms","year":2024,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Universitas Brawijaya","keywords":"Computer science; Online algorithm; Purchasing; Maximization; Competitive analysis; Function (biology); Minification; Time horizon; Intersection (aeronautics); Baseline (sea); Benchmark (surveying); Mathematical optimization; Algorithm; Mathematics; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.1932422964639111,"gpt":0.454337224908657,"spread":0.2610949284447459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01716307,0.0002920916,0.0005373379,0.001268525,0.0004413843,0.0004690802,0.0008353848,0.00008987322,0.001007407],"category_scores_gemma":[0.02357468,0.0001914881,0.00008759495,0.007894021,0.0001087241,0.001494931,0.0004113133,0.0009001663,0.0004692619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000441946,"about_ca_system_score_gemma":0.0003525611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001270857,"about_ca_topic_score_gemma":0.000004711107,"domain_scores_codex":[0.9919566,0.0006978142,0.000902886,0.0009403543,0.005072608,0.0004297306],"domain_scores_gemma":[0.9932671,0.003609703,0.0003024609,0.0008725487,0.001739742,0.0002084119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001445437,0.00004148318,0.001810296,0.0005022275,0.0000302345,0.000009026334,0.00006669173,0.003197352,0.00001374184,0.000009416299,0.001814363,0.9924907],"study_design_scores_gemma":[0.0007107508,0.00047868,0.005543729,0.003413945,0.0001420822,0.00006529512,0.0002617638,0.9053827,0.00007781352,0.0001312011,0.08345281,0.0003392582],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2177005,0.594833,0.1745843,0.006147814,0.001175174,0.004243607,0.0000420726,0.0004185754,0.0008549772],"genre_scores_gemma":[0.3948209,0.5616271,0.03782968,0.00134871,0.0004730054,0.0002798932,0.0003290299,0.0001254802,0.003166173],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9921514,"threshold_uncertainty_score":0.9999058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281701211","doi":"10.1145/3543516.3456271","title":"Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging","year":2021,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Division of Electrical, Communications and Cyber Systems; University of Toronto; National Science Foundation","keywords":"Knapsack problem; Competitive analysis; Continuous knapsack problem; Online algorithm; Computer science; Algorithm; Mathematical optimization; Limiting; Identification (biology); Dual (grammatical number); Generalized assignment problem; Change-making problem; Optimization problem; Mathematics; Upper and lower bounds; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.06932257938094619,"gpt":0.3470856595915804,"spread":0.2777630802106342,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00268228,0.000160074,0.0002474514,0.0002109812,0.0003603584,0.0001484682,0.0009256132,0.00003772136,0.00003228294],"category_scores_gemma":[0.00162393,0.0001167574,0.00006343327,0.005827301,0.00001700995,0.0004796544,0.000196694,0.0001687245,0.00006798602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512593,"about_ca_system_score_gemma":0.0003992309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000415765,"about_ca_topic_score_gemma":0.00001126036,"domain_scores_codex":[0.9976686,0.0001695816,0.0004155663,0.0004983765,0.0009198174,0.0003280518],"domain_scores_gemma":[0.9956572,0.0007971794,0.000214836,0.000959466,0.002267447,0.0001038372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005491278,0.0001100849,0.0003875137,0.0004330236,0.0000274754,2.549424e-7,0.0001286542,0.01683026,0.0001972575,0.002695631,0.0006389644,0.9785454],"study_design_scores_gemma":[0.0006079041,0.0001719712,0.00241433,0.0004162588,0.00005010957,0.000006375015,0.00001734691,0.9437141,0.0007022726,0.00007310065,0.05164292,0.0001832769],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007615943,0.02220086,0.9582794,0.01363127,0.00007776618,0.004720245,0.000007755304,0.00009487707,0.0002262696],"genre_scores_gemma":[0.1155373,0.1066489,0.7548313,0.01632221,0.0002448401,0.005495517,0.0004578743,0.00006305026,0.0003989861],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9783621,"threshold_uncertainty_score":0.476123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4236722288","doi":"10.1145/1269899.1254904","title":"Synthetic designs","year":2007,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Design of experiments; Reliability engineering; Statistical power; Variation (astronomy); Sample size determination; Sample (material); Statistical hypothesis testing; Software; Industrial engineering; Engineering; Statistics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.1290392097846172,"gpt":0.380485539652118,"spread":0.2514463298675008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01548488,0.0001598182,0.0002325434,0.0006248645,0.0001199977,0.0000769412,0.001812047,0.00005924995,0.0001624881],"category_scores_gemma":[0.02454101,0.0001445807,0.00007579573,0.005044169,0.00002585022,0.000597697,0.0003279848,0.0002310297,0.0006967089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515674,"about_ca_system_score_gemma":0.0001990294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001683942,"about_ca_topic_score_gemma":2.916402e-7,"domain_scores_codex":[0.9967914,0.0001168434,0.0004659733,0.0004110479,0.001756504,0.0004582084],"domain_scores_gemma":[0.994983,0.002325021,0.000127016,0.001737958,0.0006750433,0.0001519291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[9.755948e-7,0.00002666612,0.004920271,0.000515546,0.000008980224,0.000002423767,0.00002989724,0.0001947934,0.00004178936,0.000373345,0.001732935,0.9921524],"study_design_scores_gemma":[0.001763959,0.0008357227,0.4523291,0.007473436,0.0002676134,0.0002070465,0.00001217928,0.3827247,0.01045497,0.001166262,0.1406486,0.002116469],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03576613,0.13212,0.8270358,0.0009558544,0.000802897,0.001533529,6.130052e-7,0.0004546036,0.001330571],"genre_scores_gemma":[0.8577875,0.05478497,0.08597749,0.001007033,0.000113437,0.0001420038,0.000007787183,0.00002856385,0.000151169],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9900359,"threshold_uncertainty_score":0.9836757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4235093512","doi":"10.1145/2964791.2901488","title":"Majority Rule Based Opinion Dynamics with Biased and Stubborn Agents","year":2016,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Logarithm; Set (abstract data type); Computer science; Mathematical economics; Mathematics; Econometrics","retraction":null,"screen_n_in":null,"score":{"opus":0.04871352847015456,"gpt":0.3392430116602808,"spread":0.2905294831901262,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00144068,0.0001967393,0.0002956381,0.0001421948,0.0001970005,0.00004914633,0.0002645078,0.00004395114,0.0004988461],"category_scores_gemma":[0.0002474834,0.000131837,0.0000628427,0.0009063523,0.00007024581,0.0003473985,0.00007665364,0.0001072873,0.00005217338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276571,"about_ca_system_score_gemma":0.0002018752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003095341,"about_ca_topic_score_gemma":0.000002337204,"domain_scores_codex":[0.998314,0.0001290858,0.0003640724,0.0003245907,0.0006284133,0.0002397905],"domain_scores_gemma":[0.9984141,0.0002238224,0.000276587,0.0005098832,0.0004675327,0.0001080459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00000912057,0.00007167343,0.3015095,0.0003326487,0.00003311243,1.135423e-7,0.00001349137,0.0000534908,0.000004897769,0.00160107,0.0006234574,0.6957474],"study_design_scores_gemma":[0.006957062,0.0006986092,0.6206406,0.01036799,0.0005180104,0.000002267331,0.00007828778,0.3196011,0.0001557605,0.003333292,0.03595252,0.00169452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955142,0.01178595,0.01982229,0.004360646,0.0007064797,0.002798021,0.0002445937,0.00009014792,0.005049883],"genre_scores_gemma":[0.9839348,0.01351669,0.001482652,0.0004850448,0.00011277,0.0001550903,0.0001747312,0.00002277244,0.0001154892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6940529,"threshold_uncertainty_score":0.5462014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}