{"meta":{"query_hash":"c9b8730683cf","filters":{"venue":"IEEE International Conference on Cloud Computing Technology and Science"},"cohort_total":13,"direct_labels_cover":0,"predictions_cover":13,"exported":13,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/c9b8730683cf","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+International+Conference+on+Cloud+Computing+Technology+and+Science"},"results":[{"id":"W1610759384","doi":"","title":"SecSLA: A Proactive and Secure Service Level Agreement Framework for Cloud Services","year":2014,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Cloud computing; Computer security; Outsourcing; Cloud computing security; Service-level agreement; Computer science; Service provider; Service (business); Business","score_opus":0.05970420233126435,"score_gpt":0.3254241047111842,"score_spread":0.2657199023799199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1610759384","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005101775,0.0003476778,0.9728347,0.0010924992,0.0002142036,0.0011117603,0.00026114023,0.013089822,0.005946359],"genre_scores_gemma":[0.22172539,0.000838323,0.76105624,0.0011699233,0.00031123485,0.0017788974,0.0015262825,0.0015844346,0.0100093],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99303573,0.0020722223,0.00086647767,0.00056233414,0.0027439087,0.00071925996],"domain_scores_gemma":[0.99573565,0.0010029089,0.00063896156,0.0011575054,0.0009174912,0.00054755766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011465456,0.0009056947,0.0010502057,0.001781289,0.0023509637,0.0049674795,0.0039509423,0.0024794433,0.0032181037],"category_scores_gemma":[0.009667878,0.0011210399,0.0019223702,0.0010690265,0.0030091014,0.0052076876,0.0056666965,0.0055106278,0.0018530029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052235485,0.00062612107,0.0032538092,0.0006768772,0.00019290255,0.0010121609,0.0017874605,0.06659423,0.016263133,0.72414744,0.041207526,0.14371601],"study_design_scores_gemma":[0.00021071227,0.0003568388,0.00089043024,0.00035788253,0.000093475,0.0006650586,0.00030043838,0.60943925,0.01385226,0.12966089,0.24396673,0.00020608105],"about_ca_topic_score_codex":0.008307305,"about_ca_topic_score_gemma":0.0090177525,"teacher_disagreement_score":0.011465456,"about_ca_system_score_codex":0.0027567176,"about_ca_system_score_gemma":0.009303541,"threshold_uncertainty_score":0.060635865},"labels":[],"label_agreement":null},{"id":"W1884597303","doi":"","title":"Exploring Different Architectures to Support Crop Farmers with a Mobile Application on Pesticide Control","year":2014,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Mobile computing; Middleware (distributed applications); Mobile device; Cache; Cloud computing; Computer network; Mobile broadband; Mobile Web; Mobile technology; Database; Wireless; Distributed computing; Operating system","score_opus":0.04528758009719966,"score_gpt":0.2917799263222756,"score_spread":0.24649234622507596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1884597303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63875306,0.0020493222,0.325579,0.0009497838,0.00012464108,0.00074027246,0.00015125432,0.006246731,0.025405973],"genre_scores_gemma":[0.88655823,0.00072973344,0.10364084,0.00026904265,0.000022141492,0.00018330534,0.00018730652,0.00013204411,0.008277358],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998454,0.000029822333,0.00000913357,0.000031336658,0.000034835062,0.00004945082],"domain_scores_gemma":[0.9998253,0.000043345368,0.000013953565,0.00002551866,0.0000580237,0.00003385997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002054088,0.0005137065,0.0002007678,0.00022143181,0.00037510195,0.00085261295,0.0009564242,0.00057154335,0.0013809366],"category_scores_gemma":[0.00042037282,0.00020492695,0.00023130391,0.00018462764,0.0001731496,0.0011249728,0.0006108432,0.00043941927,0.00040135285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025467956,0.0015367238,0.024562942,0.0013468853,0.00023746862,0.0023353286,0.0026810155,0.05788416,0.35520032,0.02210015,0.013382717,0.5161855],"study_design_scores_gemma":[0.00034226626,0.0021659555,0.017974108,0.00018956978,0.00047849977,0.0013541903,0.0019564698,0.734383,0.13181247,0.010495429,0.098704,0.00014409157],"about_ca_topic_score_codex":0.00245082,"about_ca_topic_score_gemma":0.004528468,"teacher_disagreement_score":0.00245082,"about_ca_system_score_codex":0.0002948444,"about_ca_system_score_gemma":0.0006046742,"threshold_uncertainty_score":0.004873097},"labels":[],"label_agreement":null},{"id":"W1939358669","doi":"","title":"SOCaaS: Security Operations Center as a Service for Cloud Computing Environments","year":2014,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer security; Cloud computing security; Cloud computing; Computer science; Security service; Security information and event management; Outsourcing; Service provider; Service (business); Computer security model; Information security; Process management; Business","score_opus":0.02658692160679162,"score_gpt":0.2842683923784209,"score_spread":0.2576814707716293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1939358669","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06652645,0.0036548658,0.5242244,0.0069131586,0.0030688308,0.0040467484,0.014688605,0.19303292,0.18384413],"genre_scores_gemma":[0.6855357,0.0030919528,0.21796773,0.0030668804,0.0011477085,0.0015500946,0.03304428,0.0062327483,0.048362914],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978199,0.00036709014,0.00021527412,0.00020972572,0.0008377493,0.00055024965],"domain_scores_gemma":[0.99652773,0.00021615115,0.0003839562,0.0008399906,0.0009484257,0.001083675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015897441,0.0009311457,0.0006597586,0.0017567422,0.0018786552,0.0046901605,0.001697956,0.0011843538,0.011326184],"category_scores_gemma":[0.0035467884,0.00038836477,0.0006102316,0.0026776067,0.00084521284,0.0026979102,0.0035836687,0.0018137798,0.008148942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013909839,0.00061338214,0.007521948,0.0008229856,0.00018733172,0.0011455034,0.0007921069,0.016469346,0.02767271,0.15563263,0.49233705,0.29541403],"study_design_scores_gemma":[0.0002608866,0.00029110262,0.0043681576,0.00020220233,0.000055211236,0.0006594278,0.00034007244,0.12666331,0.011658983,0.024985395,0.8303617,0.00015342422],"about_ca_topic_score_codex":0.008522106,"about_ca_topic_score_gemma":0.0051283957,"teacher_disagreement_score":0.011326184,"about_ca_system_score_codex":0.0024717425,"about_ca_system_score_gemma":0.007037393,"threshold_uncertainty_score":0.037889898},"labels":[],"label_agreement":null},{"id":"W2205665593","doi":"","title":"The case for system testing with swift hierarchical VM fork","year":2014,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fork (system call); Computer science; Test suite; Cloud computing; Operating system; Unit testing; Virtual machine; Software performance testing; White-box testing; Suite; Embedded system; Software; Test case; Software system; Software construction","score_opus":0.04916953759013115,"score_gpt":0.3087123122288789,"score_spread":0.25954277463874775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2205665593","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3034215,0.0021904937,0.55084413,0.06913484,0.0014430917,0.0007826874,0.00031256228,0.016804518,0.05506618],"genre_scores_gemma":[0.7620985,0.00025788092,0.22492011,0.0062160185,0.00021319222,0.0002709542,0.00016202792,0.0010397425,0.0048215757],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9883376,0.003922747,0.00046848253,0.0015575138,0.003693989,0.0020197714],"domain_scores_gemma":[0.96391296,0.017076666,0.002252258,0.012104989,0.002725488,0.0019275296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011637051,0.0008107028,0.00054371473,0.0006739072,0.001353236,0.002186085,0.0035506764,0.003359194,0.0043795514],"category_scores_gemma":[0.038710304,0.00062242115,0.00085814315,0.0005843226,0.0035449434,0.009703865,0.0023650494,0.004828104,0.0014460256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020226724,0.0013467396,0.064419314,0.0010748629,0.00022848832,0.012084395,0.0029924023,0.051766157,0.07179608,0.23661616,0.083677806,0.47197488],"study_design_scores_gemma":[0.000523878,0.003173394,0.024786504,0.0009947536,0.00023396363,0.016086875,0.0027373198,0.38228136,0.061124206,0.31617197,0.19154884,0.00033692975],"about_ca_topic_score_codex":0.0027949694,"about_ca_topic_score_gemma":0.0043723574,"teacher_disagreement_score":0.011637051,"about_ca_system_score_codex":0.0011318102,"about_ca_system_score_gemma":0.002328982,"threshold_uncertainty_score":0.061543345},"labels":[],"label_agreement":null},{"id":"W2406158400","doi":"","title":"Cloud Computing and Adult Literacy.","year":2014,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University; Simon Fraser University","funders":"","keywords":"Computer science; Cloud computing; Literacy; Data science; Operating system; Psychology; Pedagogy","score_opus":0.020605545506082887,"score_gpt":0.29123769132392685,"score_spread":0.27063214581784395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406158400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65227836,0.076136634,0.000586549,0.088793464,0.00086175196,0.00003801934,0.00075155176,0.00002959278,0.180524],"genre_scores_gemma":[0.979591,0.012000356,0.00011036862,0.0025421365,0.00025220227,0.000018001192,0.00010152732,0.0000070564643,0.00537735],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99948585,0.00017264887,0.000032120588,0.0000493635,0.00008518404,0.00017475698],"domain_scores_gemma":[0.99466467,0.0022831599,0.0010985857,0.00009622845,0.00046750973,0.0013898341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005817519,0.00010634832,0.00022535854,0.0010650809,0.00086707546,0.0016576848,0.00023496887,0.0008340879,0.009253812],"category_scores_gemma":[0.0078064287,0.00010463135,0.00016036436,0.0011059595,0.0009760695,0.0016797148,0.0010518322,0.0015479827,0.00055332767],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019646037,0.0009698616,0.53349215,0.000577359,0.00007554048,0.001971412,0.02175336,0.0001616314,0.0003258844,0.10142047,0.06664144,0.2724144],"study_design_scores_gemma":[0.000032821772,0.00020812481,0.86447644,0.0018103617,0.00006654239,0.0024423704,0.019848937,0.00036755434,0.00020333791,0.033643022,0.07686843,0.0000320392],"about_ca_topic_score_codex":0.008343765,"about_ca_topic_score_gemma":0.010811118,"teacher_disagreement_score":0.009253812,"about_ca_system_score_codex":0.0007291645,"about_ca_system_score_gemma":0.00092522043,"threshold_uncertainty_score":0.030957043},"labels":[],"label_agreement":null},{"id":"W2419201994","doi":"","title":"Accelerating complex data transfer for cluster computing","year":2016,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Serialization; Computer science; Bottleneck; Data transmission; Distributed computing; Overhead (engineering); SPARK (programming language); Java; Transfer (computing); Parallel computing; Operating system; Embedded system; Computer network; Programming language","score_opus":0.13370199156814533,"score_gpt":0.34264060998705265,"score_spread":0.20893861841890732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2419201994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061007053,0.00074535445,0.9196,0.000627931,0.00026607802,0.00023480564,0.00014246383,0.008488883,0.008887298],"genre_scores_gemma":[0.4203393,0.00058436603,0.56785136,0.00016973437,0.00012092783,0.00036434425,0.00050826836,0.0006989077,0.009362771],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939406,0.00010081057,0.00004011731,0.00009789335,0.0002840001,0.000083015984],"domain_scores_gemma":[0.9982133,0.0005603349,0.00011916027,0.000676481,0.0003422845,0.00008853737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006841277,0.00061026885,0.00048851,0.0006749507,0.00096343714,0.0012942059,0.0015183534,0.0005192972,0.00653864],"category_scores_gemma":[0.0039782077,0.00035478946,0.00035295222,0.0014290165,0.00069450797,0.0022215426,0.0018404681,0.0010757037,0.0015851582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010112729,0.00037111598,0.0048424858,0.00054371124,0.00013282856,0.00045724728,0.00069717003,0.16286546,0.1344214,0.095921494,0.04155531,0.5571805],"study_design_scores_gemma":[0.00012679788,0.0002671506,0.0016881621,0.0000355004,0.000050524766,0.0003690914,0.00013981941,0.8387179,0.06706881,0.04234761,0.04911997,0.00006873085],"about_ca_topic_score_codex":0.002517137,"about_ca_topic_score_gemma":0.0020682989,"teacher_disagreement_score":0.00653864,"about_ca_system_score_codex":0.0011806396,"about_ca_system_score_gemma":0.0011136561,"threshold_uncertainty_score":0.021873891},"labels":[],"label_agreement":null},{"id":"W2482854124","doi":"","title":"A Prospective Cloud-Connected Vehicle Information System for C-ITS Application Services in Connected Vehicle Environment","year":2016,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Cloud computing; Vehicular ad hoc network; Intelligent transportation system; Computer science; Wireless ad hoc network; The Internet; Computer network; Vehicular communication systems; Wireless; Telecommunications; Engineering; World Wide Web; Transport engineering; Operating system","score_opus":0.010605037540637225,"score_gpt":0.22796960071814454,"score_spread":0.21736456317750733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2482854124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23869954,0.0028836147,0.6593159,0.0033306128,0.0012362613,0.0024635468,0.002256061,0.024958525,0.06485599],"genre_scores_gemma":[0.9185202,0.00048613618,0.0696744,0.00063866284,0.0001315285,0.00023892128,0.0016124842,0.00013313604,0.008564586],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923515,0.00010317291,0.0000731452,0.0001494542,0.00022402225,0.0002150308],"domain_scores_gemma":[0.99916947,0.00003882172,0.00004271322,0.00012241972,0.00036710914,0.00025939694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058992807,0.00038108585,0.0005649083,0.00076931895,0.0014908961,0.0017551917,0.0021578614,0.00091419194,0.0036036903],"category_scores_gemma":[0.0007688631,0.00020882575,0.00041265492,0.0011811772,0.0003652206,0.0019755138,0.0019812332,0.00065849436,0.0018227431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002867063,0.001635516,0.057323873,0.0010979947,0.00047721402,0.0055887853,0.0017392684,0.05373095,0.095684946,0.13659625,0.21280794,0.43045017],"study_design_scores_gemma":[0.00032716067,0.0007795929,0.010762225,0.00016600643,0.00027823125,0.0020655866,0.00088796916,0.74265844,0.048049033,0.011318778,0.1824446,0.0002624091],"about_ca_topic_score_codex":0.010263132,"about_ca_topic_score_gemma":0.0069099707,"teacher_disagreement_score":0.010263132,"about_ca_system_score_codex":0.0012710498,"about_ca_system_score_gemma":0.0026455037,"threshold_uncertainty_score":0.020406842},"labels":[],"label_agreement":null},{"id":"W2739840617","doi":"","title":"Lube: mitigating bottlenecks in wide area data analytics","year":2017,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Analytics; Data analysis; Data science; Data mining","score_opus":0.1341876215327935,"score_gpt":0.3706136588520138,"score_spread":0.2364260373192203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739840617","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057798535,0.0033730993,0.86512005,0.003352704,0.0011402209,0.0004773727,0.001624951,0.062288668,0.0048244805],"genre_scores_gemma":[0.45456073,0.0011266699,0.52355194,0.0018730571,0.0006043771,0.00051870476,0.004280892,0.0026049525,0.010878659],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954477,0.0012128016,0.00033983044,0.0007445763,0.0016835048,0.00057155074],"domain_scores_gemma":[0.98609716,0.0062967814,0.0007285968,0.0033626787,0.0026517366,0.0008631285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007594113,0.0021200557,0.0018334803,0.003505873,0.0017496346,0.0038830985,0.0037601695,0.0014484857,0.006226067],"category_scores_gemma":[0.032857195,0.0012840568,0.0009069079,0.0025383292,0.0013785884,0.009732161,0.00683646,0.0033031192,0.003064563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032981057,0.0021369727,0.01734453,0.0010332591,0.0006290824,0.0005339592,0.00083860254,0.09015634,0.02116489,0.027142981,0.1607174,0.6750039],"study_design_scores_gemma":[0.00022548882,0.00034019706,0.0013035142,0.000067737674,0.00011001118,0.00014468271,0.0002559496,0.93910563,0.013059986,0.027663074,0.017663302,0.000060460326],"about_ca_topic_score_codex":0.0035501602,"about_ca_topic_score_gemma":0.0056975004,"teacher_disagreement_score":0.007594113,"about_ca_system_score_codex":0.0010417209,"about_ca_system_score_gemma":0.0037647823,"threshold_uncertainty_score":0.040161967},"labels":[],"label_agreement":null},{"id":"W2741666111","doi":"","title":"Heterogeneous GPU reallocation","year":2017,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cloud computing; Granularity; General-purpose computing on graphics processing units; CUDA; Parallel computing; Distributed computing; Operating system; Graphics","score_opus":0.04595129150165519,"score_gpt":0.3154708176078611,"score_spread":0.26951952610620594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741666111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70556813,0.0013590837,0.23326646,0.0010645376,0.00057127146,0.00017236958,0.0005292906,0.0067816,0.0506873],"genre_scores_gemma":[0.9628326,0.00013351436,0.03047229,0.00026137428,0.000037206122,0.000037719048,0.00030361122,0.00032570772,0.0055959136],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994997,0.000068616675,0.000021907961,0.00014358682,0.00010823277,0.00015793949],"domain_scores_gemma":[0.99915695,0.00015450026,0.0000705711,0.00036868476,0.00015396457,0.000095372576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027341885,0.0007571591,0.00046740533,0.00050588435,0.00063390186,0.0015091017,0.0016288272,0.0006042148,0.008259317],"category_scores_gemma":[0.002056711,0.00026214257,0.00025888413,0.00083516823,0.00046505255,0.001881849,0.001277135,0.000938314,0.0014092824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025268798,0.0005040578,0.02780825,0.00031543823,0.0001577768,0.0014099651,0.0009026991,0.29022568,0.24507886,0.03545363,0.025306106,0.37031054],"study_design_scores_gemma":[0.00016609492,0.00038215512,0.010817609,0.000042016847,0.000067458124,0.0008882764,0.0004394652,0.81196713,0.094001494,0.016063794,0.0650944,0.00007005636],"about_ca_topic_score_codex":0.0044240514,"about_ca_topic_score_gemma":0.0059430883,"teacher_disagreement_score":0.008259317,"about_ca_system_score_codex":0.0011741092,"about_ca_system_score_gemma":0.00061387283,"threshold_uncertainty_score":0.02763021},"labels":[],"label_agreement":null},{"id":"W2885627084","doi":"","title":"RaMP: A Lightweight {RDMA} Abstraction for Loosely Coupled Applications","year":2018,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Remote direct memory access; Computer science; Abstraction; Operating system; Programming language; Computer architecture","score_opus":0.04702370220814162,"score_gpt":0.33856655467386165,"score_spread":0.29154285246572004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885627084","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01983935,0.0006652299,0.78315747,0.00040039778,0.0006069327,0.0003379441,0.0009932696,0.18527848,0.008720989],"genre_scores_gemma":[0.47896236,0.0008023182,0.4412287,0.0019411807,0.0005328339,0.00081721804,0.005008054,0.031914014,0.03879335],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969169,0.00044798426,0.00042081982,0.00053512584,0.0011975185,0.00048156118],"domain_scores_gemma":[0.9940248,0.00082367344,0.0002990816,0.0037851273,0.00059580704,0.0004715164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032549563,0.0023120267,0.0016142474,0.0012003662,0.0014266125,0.00451503,0.0073321117,0.0018738982,0.017559271],"category_scores_gemma":[0.008052228,0.0021874832,0.0021613068,0.0011888773,0.0011764332,0.0077133635,0.011007771,0.0063140653,0.00655635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053152395,0.0012668002,0.010475168,0.002811881,0.0010433123,0.0016844478,0.002303909,0.043477535,0.10761165,0.16370416,0.15585437,0.5044516],"study_design_scores_gemma":[0.00051387935,0.00064707914,0.00294339,0.00037510885,0.0007437501,0.000856751,0.0003686865,0.49866048,0.1208237,0.100744516,0.2727672,0.00055550993],"about_ca_topic_score_codex":0.0042998022,"about_ca_topic_score_gemma":0.005193311,"teacher_disagreement_score":0.017559271,"about_ca_system_score_codex":0.0012453824,"about_ca_system_score_gemma":0.002062355,"threshold_uncertainty_score":0.05874157},"labels":[],"label_agreement":null},{"id":"W2945391994","doi":"","title":"CryptoLive: A Mobile Application for IOS Platform Depicting Real Time Details for Different Crypto Currencies","year":2018,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lambton College","funders":"","keywords":"Cryptocurrency; Digital currency; Computer science; Blockchain; Currency; Big data; Ranking (information retrieval); Virtual currency; Mobile device; World Wide Web; Computer security; Operating system; Artificial intelligence","score_opus":0.0325585989438526,"score_gpt":0.32356233171906573,"score_spread":0.29100373277521313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945391994","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039592214,0.003016032,0.150086,0.0015084592,0.0006369459,0.0019082082,0.049073406,0.65337414,0.100804575],"genre_scores_gemma":[0.43986624,0.005514901,0.14472866,0.003608306,0.0006004602,0.0029571601,0.11829701,0.066846356,0.217581],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976355,0.00002682896,0.000019477407,0.000033371958,0.00009615593,0.00006070456],"domain_scores_gemma":[0.99942124,0.00021704646,0.000058111094,0.00009307565,0.00010310891,0.00010746176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042646067,0.0015380342,0.0007038822,0.0018517905,0.00035922445,0.0011281795,0.0011961943,0.0011874355,0.076410346],"category_scores_gemma":[0.0016676942,0.00051828596,0.0005091592,0.00089031796,0.00022064465,0.0023197809,0.0021460657,0.0010946076,0.021894543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00559044,0.0005484259,0.006707402,0.0028295952,0.00017294518,0.0025418762,0.0010596338,0.0034041482,0.05012437,0.016258312,0.618888,0.2918748],"study_design_scores_gemma":[0.0011695602,0.0006471595,0.012082775,0.0007070467,0.00014704202,0.0032561405,0.00026632828,0.06517918,0.05726549,0.015906211,0.84295607,0.0004170088],"about_ca_topic_score_codex":0.0013378272,"about_ca_topic_score_gemma":0.0020576005,"teacher_disagreement_score":0.076410346,"about_ca_system_score_codex":0.00035881033,"about_ca_system_score_gemma":0.00051866105,"threshold_uncertainty_score":0.2556181},"labels":[],"label_agreement":null},{"id":"W2963443047","doi":"10.5555/3021955.3021997","title":"Does Technical Debt Lead to the Rejection of Pull Requests","year":2016,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Semtech (Canada)","funders":"","keywords":"Technical debt; Convention; Debt; Documentation; Identification (biology); Technical documentation; Computer science; Focus (optics); Risk analysis (engineering); Business; Accounting; Finance; Software; Law; Software development; Political science","score_opus":0.03509661961974468,"score_gpt":0.32513862062996346,"score_spread":0.29004200101021876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963443047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802886,0.0005253773,0.0037637493,0.0014641156,0.00007264405,0.00009337614,0.00020840131,0.00025293246,0.013330727],"genre_scores_gemma":[0.9958134,0.00017827668,0.0010545036,0.0003476139,0.00006747397,0.000042780564,0.00022745966,0.00009343797,0.0021750312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98093975,0.006525272,0.0025672298,0.0016016782,0.005977112,0.002388931],"domain_scores_gemma":[0.6723823,0.17657506,0.1025204,0.014019958,0.02442632,0.010075965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01496675,0.0005025635,0.00045640228,0.002420672,0.0016874158,0.0032928481,0.001228611,0.0020690055,0.008381016],"category_scores_gemma":[0.15385707,0.0004995817,0.00068860606,0.0016095341,0.0010752758,0.0047431756,0.002238639,0.0024545337,0.002168969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077031803,0.00044499163,0.8940983,0.00055539986,0.000116926414,0.0015013549,0.014959096,0.0006794471,0.0060914424,0.00251691,0.0041906894,0.07407523],"study_design_scores_gemma":[0.0000744489,0.00070719945,0.89548194,0.00070738426,0.00022432492,0.0033544302,0.04779507,0.009253042,0.006204558,0.006230737,0.029805118,0.00016186388],"about_ca_topic_score_codex":0.0027059754,"about_ca_topic_score_gemma":0.0020915421,"teacher_disagreement_score":0.01496675,"about_ca_system_score_codex":0.0013417726,"about_ca_system_score_gemma":0.00195714,"threshold_uncertainty_score":0.0791527},"labels":[],"label_agreement":null},{"id":"W3129284446","doi":"10.1109/cloudcom.2019.00008","title":"Message from CIT 2019 chairs","year":2019,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","score_opus":0.083281788897386,"score_gpt":0.3933252893248497,"score_spread":0.31004350042746376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129284446","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027121286,0.002367321,0.00021720472,0.60120106,0.3794652,0.000069915535,0.0010654026,0.00026730556,0.015075387],"genre_scores_gemma":[0.0045065144,0.0017793063,0.00033443718,0.63565016,0.102435775,0.00020706114,0.0011371401,0.00033165424,0.2536179],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944799,0.0005651735,0.00024932926,0.00059207284,0.0028689567,0.0012445706],"domain_scores_gemma":[0.9807288,0.00238135,0.00080276944,0.00062395673,0.01067106,0.004792141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049090846,0.0011583108,0.0016988815,0.0014646148,0.0051163575,0.009306508,0.002256549,0.030900192,0.12834531],"category_scores_gemma":[0.02815587,0.00065213034,0.002080326,0.0014246013,0.0014804327,0.003362246,0.004707387,0.022701534,0.114117876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002432976,0.00000358512,0.000042203115,0.000020656673,0.0000020969674,0.00003713141,0.0000055367464,0.0000047767808,0.000026896329,0.00019478191,0.9985464,0.0010914773],"study_design_scores_gemma":[0.000038640872,0.000019914134,0.0004973869,0.00010339631,0.00001094738,0.00006697021,0.00009030298,0.000042644922,0.0001565157,0.0005717707,0.9983779,0.000023590504],"about_ca_topic_score_codex":0.011186742,"about_ca_topic_score_gemma":0.019114906,"teacher_disagreement_score":0.12834531,"about_ca_system_score_codex":0.006353788,"about_ca_system_score_gemma":0.010850004,"threshold_uncertainty_score":0.42935783},"labels":[],"label_agreement":null}]}